From 62d07f457cb00af1b26dc4c89555ea3c1c5f472c Mon Sep 17 00:00:00 2001 From: pabramber01 Date: Fri, 12 Apr 2024 15:07:40 +0200 Subject: [PATCH] (feat) Final model Final model with all improvements was added, along with some fixes. --- _toc.yml | 19 + .../feature_selection_posvar.ipynb | 2 +- .../model_validation_add_posvar.ipynb | 2 +- .../model_validation_all_posvar.ipynb | 2 +- .../model_validation_cir_posvar.ipynb | 2 +- .../model_validation_drv_posvar.ipynb | 2 +- .../model_validation_wea_posvar.ipynb | 2 +- .../assets/data/processed/final_model.csv | 5740 +++++++++++++++++ .../assets/data/processed/final_model_X.csv | 5740 +++++++++++++++++ .../base_model/feature_selection_posvar.ipynb | 2 +- .../final_model/advanced_tuning.ipynb | 32 + .../final_model/advanced_tuning_pdm.ipynb | 621 ++ .../final_model/advanced_tuning_posvar.ipynb | 727 +++ .../final_model/feature_selection.ipynb | 112 + .../final_model/feature_selection_pdm.ipynb | 566 ++ .../feature_selection_posvar.ipynb | 598 ++ .../final_model/model_validation.ipynb | 172 + .../final_model/model_validation_pdm.ipynb | 547 ++ .../final_model/model_validation_posvar.ipynb | 673 ++ f1_prediction/final_model/simple_tuning.ipynb | 39 + .../final_model/simple_tuning_pdm.ipynb | 439 ++ .../final_model/simple_tuning_posvar.ipynb | 436 ++ .../feature_selection_posvar.ipynb | 2 +- .../other_models/model_validation_pdm.ipynb | 13 +- .../model_validation_posvar.ipynb | 2 +- .../outliers/feature_selection_posvar.ipynb | 2 +- .../model_validation_atm_posvar.ipynb | 2 +- .../model_validation_mnl_posvar.ipynb | 2 +- f1_prediction/utils/custom_scorers.py | 2 +- 29 files changed, 16484 insertions(+), 16 deletions(-) create mode 100644 f1_prediction/assets/data/processed/final_model.csv create mode 100644 f1_prediction/assets/data/processed/final_model_X.csv create mode 100644 f1_prediction/final_model/advanced_tuning.ipynb create mode 100644 f1_prediction/final_model/advanced_tuning_pdm.ipynb create mode 100644 f1_prediction/final_model/advanced_tuning_posvar.ipynb create mode 100644 f1_prediction/final_model/feature_selection.ipynb create mode 100644 f1_prediction/final_model/feature_selection_pdm.ipynb create mode 100644 f1_prediction/final_model/feature_selection_posvar.ipynb create mode 100644 f1_prediction/final_model/model_validation.ipynb create mode 100644 f1_prediction/final_model/model_validation_pdm.ipynb create mode 100644 f1_prediction/final_model/model_validation_posvar.ipynb create mode 100644 f1_prediction/final_model/simple_tuning.ipynb create mode 100644 f1_prediction/final_model/simple_tuning_pdm.ipynb create mode 100644 f1_prediction/final_model/simple_tuning_posvar.ipynb diff --git a/_toc.yml b/_toc.yml index 7ade00a..a9fbb98 100644 --- a/_toc.yml +++ b/_toc.yml @@ -110,3 +110,22 @@ parts: sections: - file: f1_prediction/other_models/advanced_tuning_posvar - file: f1_prediction/other_models/advanced_tuning_pdm + + - caption: Final model + chapters: + - file: f1_prediction/final_model/model_validation + sections: + - file: f1_prediction/final_model/model_validation_posvar + - file: f1_prediction/final_model/model_validation_pdm + - file: f1_prediction/final_model/simple_tuning + sections: + - file: f1_prediction/final_model/simple_tuning_posvar + - file: f1_prediction/final_model/simple_tuning_pdm + - file: f1_prediction/final_model/feature_selection + sections: + - file: f1_prediction/final_model/feature_selection_posvar + - file: f1_prediction/final_model/feature_selection_pdm + - file: f1_prediction/final_model/advanced_tuning + sections: + - file: f1_prediction/final_model/advanced_tuning_posvar + - file: f1_prediction/final_model/advanced_tuning_pdm diff --git a/f1_prediction/adding_data/feature_selection_posvar.ipynb b/f1_prediction/adding_data/feature_selection_posvar.ipynb index 126479e..152341c 100644 --- a/f1_prediction/adding_data/feature_selection_posvar.ipynb +++ b/f1_prediction/adding_data/feature_selection_posvar.ipynb @@ -62,7 +62,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "First we will do the tuning of the model that predicts the final position of each driver at a ±1 interval.\n" + "First we will do the selection of the model that predicts the final position of each driver at a ±1 interval.\n" ] }, { diff --git a/f1_prediction/adding_data/model_validation_add_posvar.ipynb b/f1_prediction/adding_data/model_validation_add_posvar.ipynb index a7bd510..bea23fd 100644 --- a/f1_prediction/adding_data/model_validation_add_posvar.ipynb +++ b/f1_prediction/adding_data/model_validation_add_posvar.ipynb @@ -65,7 +65,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "First we will do the tuning of the model that predicts the final position of each driver at a ±1 interval.\n" + "First we will do the validation of the model that predicts the final position of each driver at a ±1 interval.\n" ] }, { diff --git a/f1_prediction/adding_data/model_validation_all_posvar.ipynb b/f1_prediction/adding_data/model_validation_all_posvar.ipynb index 60798b6..8f8785e 100644 --- a/f1_prediction/adding_data/model_validation_all_posvar.ipynb +++ b/f1_prediction/adding_data/model_validation_all_posvar.ipynb @@ -65,7 +65,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "First we will do the tuning of the model that predicts the final position of each driver at a ±1 interval.\n" + "First we will do the validation of the model that predicts the final position of each driver at a ±1 interval.\n" ] }, { diff --git a/f1_prediction/adding_data/model_validation_cir_posvar.ipynb b/f1_prediction/adding_data/model_validation_cir_posvar.ipynb index 5a0325d..7b6f3bb 100644 --- a/f1_prediction/adding_data/model_validation_cir_posvar.ipynb +++ b/f1_prediction/adding_data/model_validation_cir_posvar.ipynb @@ -65,7 +65,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "First we will do the tuning of the model that predicts the final position of each driver at a ±1 interval.\n" + "First we will do the validation of the model that predicts the final position of each driver at a ±1 interval.\n" ] }, { diff --git a/f1_prediction/adding_data/model_validation_drv_posvar.ipynb b/f1_prediction/adding_data/model_validation_drv_posvar.ipynb index 6561eeb..4b8356f 100644 --- a/f1_prediction/adding_data/model_validation_drv_posvar.ipynb +++ b/f1_prediction/adding_data/model_validation_drv_posvar.ipynb @@ -65,7 +65,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "First we will do the tuning of the model that predicts the final position of each driver at a ±1 interval.\n" + "First we will do the validation of the model that predicts the final position of each driver at a ±1 interval.\n" ] }, { diff --git a/f1_prediction/adding_data/model_validation_wea_posvar.ipynb b/f1_prediction/adding_data/model_validation_wea_posvar.ipynb index 61ff564..866874e 100644 --- a/f1_prediction/adding_data/model_validation_wea_posvar.ipynb +++ b/f1_prediction/adding_data/model_validation_wea_posvar.ipynb @@ -65,7 +65,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "First we will do the tuning of the model that predicts the final position of each driver at a ±1 interval.\n" + "First we will do the validation of the model that predicts the final position of each driver at a ±1 interval.\n" ] }, { diff --git a/f1_prediction/assets/data/processed/final_model.csv b/f1_prediction/assets/data/processed/final_model.csv new file mode 100644 index 0000000..62e7538 --- /dev/null +++ b/f1_prediction/assets/data/processed/final_model.csv @@ -0,0 +1,5740 @@ +carNumber,positionGrid,positionFinal,pointsDriverEarned,lapsCompleted,timeTakenInMillisec,fastestLap,fastestLapRank,fastestLapTime,maxSpeed,driverRef,driverNumber,driverNationality,constructorRef,constructorNationality,raceYear,raceRound,grandPrix,raceTime,circuitRef,circuitLocation,circuitCountry,circuitLat,circuitLng,circuitAlt,driverStatus,driverWins,pointsConstructorEarned,constructorPosition,constructorWins,q1,q2,q3,driverAgeToday,driverAgeAtRace,weather,weatherWarm,weatherCold,weatherDry,weatherWet,weatherCloudy,circuitType,circuitDirection,circuitLength,circuitLaps,circuitDist,qMin,qMax,qAvg,driverAgeStarted,driverExpYear,driverExpRace,driverPodiums,driverPos2,driverPos3,driverPos4,driverPos5,driverPos6,driverPos7,driverPos8,driverPos9,driverPos10,driverPos11,driverPos12,driverPos13,driverPos14,driverPos15,driverPos16,driverPos17,driverPos18,driverExp,driverRac,driverAwa,driverPac,driverOvr +1.0,4,1,10.0,57,5386205.0,21.0,3.0,92534.0,210.551,alonso,14.0,Spanish,renault,French,2006,1,Bahrain Grand Prix,52200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,10.0,1.0,0.0,92433.0,91215.0,91702.0,43,25,"Fine, Dry and HotAir Temp 23 °C (73 °F)[1]Track Temp 40 °C (104 °F)[1] dropping to 34 °C (93 °F)",1,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,91215.0,92433.0,91783.33333333331,25,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,6,15,0.0,56,,14.0,15.0,93840.0,207.621,barrichello,96.0,Brazilian,honda,Japanese,2006,1,Bahrain Grand Prix,52200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,5.0,4.0,0.0,93922.0,92322.0,92579.0,52,34,"Fine, Dry and HotAir Temp 23 °C (73 °F)[1]Track Temp 40 °C (104 °F)[1] dropping to 34 °C (93 °F)",1,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,92322.0,93922.0,92941.0,34,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +12.0,3,4,5.0,57,5406197.0,39.0,5.0,92729.0,210.109,button,22.0,British,honda,Japanese,2006,1,Bahrain Grand Prix,52200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,5.0,4.0,0.0,92603.0,92025.0,91549.0,44,26,"Fine, Dry and HotAir Temp 23 °C (73 °F)[1]Track Temp 40 °C (104 °F)[1] dropping to 34 °C (93 °F)",1,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,91549.0,92603.0,92059.0,26,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +14.0,13,10,0.0,57,5461746.0,26.0,11.0,93376.0,208.653,coulthard,68.0,British,red_bull,Austrian,2006,1,Bahrain Grand Prix,52200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,1.0,6.0,0.0,93678.0,92850.0,92850.0,53,35,"Fine, Dry and HotAir Temp 23 °C (73 °F)[1]Track Temp 40 °C (104 °F)[1] dropping to 34 °C (93 °F)",1,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,92850.0,93678.0,93126.0,35,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +16.0,10,12,0.0,56,,26.0,14.0,93772.0,207.772,heidfeld,43.0,German,bmw_sauber,German,2006,1,Bahrain Grand Prix,52200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,0.0,8.0,0.0,93374.0,91958.0,93926.0,47,29,"Fine, Dry and HotAir Temp 23 °C (73 °F)[1]Track Temp 40 °C (104 °F)[1] dropping to 34 °C (93 °F)",1,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,91958.0,93926.0,93086.0,29,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +15.0,8,8,1.0,57,5452976.0,40.0,10.0,93212.0,209.02,klien,64.0,Austrian,red_bull,Austrian,2006,1,Bahrain Grand Prix,52200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,1.0,6.0,0.0,94308.0,92106.0,93112.0,41,23,"Fine, Dry and HotAir Temp 23 °C (73 °F)[1]Track Temp 40 °C (104 °F)[1] dropping to 34 °C (93 °F)",1,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,92106.0,94308.0,93175.33333333331,23,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +20.0,15,11,0.0,57,5472202.0,26.0,12.0,93480.0,208.421,liuzzi,29.0,Italian,toro_rosso,Italian,2006,1,Bahrain Grand Prix,52200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,0.0,7.0,0.0,94439.0,93416.0,93416.0,44,26,"Fine, Dry and HotAir Temp 23 °C (73 °F)[1]Track Temp 40 °C (104 °F)[1] dropping to 34 °C (93 °F)",1,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,93416.0,94439.0,93757.0,26,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +6.0,2,9,0.0,57,5456112.0,28.0,6.0,92739.0,210.086,massa,19.0,Brazilian,ferrari,Italian,2006,1,Bahrain Grand Prix,52200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,8.0,3.0,0.0,93579.0,92014.0,91478.0,43,25,"Fine, Dry and HotAir Temp 23 °C (73 °F)[1]Track Temp 40 °C (104 °F)[1] dropping to 34 °C (93 °F)",1,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,91478.0,93579.0,92357.0,25,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +5.0,1,2,8.0,57,5387451.0,38.0,2.0,92523.0,210.576,michael_schumacher,60.0,German,ferrari,Italian,2006,1,Bahrain Grand Prix,52200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,8.0,3.0,0.0,93310.0,92025.0,91431.0,55,37,"Fine, Dry and HotAir Temp 23 °C (73 °F)[1]Track Temp 40 °C (104 °F)[1] dropping to 34 °C (93 °F)",1,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,91431.0,93310.0,92255.33333333331,37,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +18.0,19,17,0.0,55,,41.0,19.0,95940.0,203.076,monteiro,48.0,Portuguese,mf1,Russian,2006,1,Bahrain Grand Prix,52200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+2 Laps,0.0,0.0,10.0,0.0,95900.0,95900.0,95900.0,48,30,"Fine, Dry and HotAir Temp 23 °C (73 °F)[1]Track Temp 40 °C (104 °F)[1] dropping to 34 °C (93 °F)",1,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,95900.0,95900.0,95900.0,30,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +4.0,5,5,4.0,57,5423253.0,21.0,7.0,92771.0,210.013,montoya,32.0,Colombian,mclaren,British,2006,1,Bahrain Grand Prix,52200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,10.0,2.0,0.0,93233.0,91487.0,92164.0,49,31,"Fine, Dry and HotAir Temp 23 °C (73 °F)[1]Track Temp 40 °C (104 °F)[1] dropping to 34 °C (93 °F)",1,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,91487.0,93233.0,92294.66666666669,31,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +3.0,22,3,6.0,57,5405565.0,29.0,8.0,92864.0,209.803,raikkonen,7.0,Finnish,mclaren,British,2006,1,Bahrain Grand Prix,52200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,10.0,2.0,0.0,100270.0,100270.0,100270.0,45,27,"Fine, Dry and HotAir Temp 23 °C (73 °F)[1]Track Temp 40 °C (104 °F)[1] dropping to 34 °C (93 °F)",1,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,100270.0,100270.0,100270.0,27,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +7.0,17,14,0.0,56,,25.0,16.0,94112.0,207.021,ralf_schumacher,56.0,German,toyota,Japanese,2006,1,Bahrain Grand Prix,52200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,0.0,9.0,0.0,94702.0,94702.0,94702.0,49,31,"Fine, Dry and HotAir Temp 23 °C (73 °F)[1]Track Temp 40 °C (104 °F)[1] dropping to 34 °C (93 °F)",1,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,94702.0,94702.0,94702.0,31,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +10.0,12,7,2.0,57,5449248.0,42.0,1.0,92408.0,210.838,rosberg,6.0,German,williams,British,2006,1,Bahrain Grand Prix,52200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,5.0,5.0,0.0,92945.0,92620.0,92620.0,39,21,"Fine, Dry and HotAir Temp 23 °C (73 °F)[1]Track Temp 40 °C (104 °F)[1] dropping to 34 °C (93 °F)",1,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,92620.0,92945.0,92728.33333333331,21,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +22.0,20,18,0.0,53,,17.0,20.0,97104.0,200.642,sato,34.0,Japanese,super_aguri,Japanese,2006,1,Bahrain Grand Prix,52200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+4 Laps,0.0,0.0,11.0,0.0,97411.0,97411.0,97411.0,47,29,"Fine, Dry and HotAir Temp 23 °C (73 °F)[1]Track Temp 40 °C (104 °F)[1] dropping to 34 °C (93 °F)",1,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,97411.0,97411.0,97411.0,29,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +21.0,16,13,0.0,56,,45.0,9.0,93108.0,209.253,speed,67.0,American,toro_rosso,Italian,2006,1,Bahrain Grand Prix,52200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,0.0,7.0,0.0,93995.0,94606.0,94606.0,41,23,"Fine, Dry and HotAir Temp 23 °C (73 °F)[1]Track Temp 40 °C (104 °F)[1] dropping to 34 °C (93 °F)",1,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,93995.0,94606.0,94402.33333333331,23,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,14,16,0.0,56,,24.0,18.0,94852.0,205.406,trulli,75.0,Italian,toyota,Japanese,2006,1,Bahrain Grand Prix,52200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,0.0,9.0,0.0,93987.0,93066.0,93066.0,50,32,"Fine, Dry and HotAir Temp 23 °C (73 °F)[1]Track Temp 40 °C (104 °F)[1] dropping to 34 °C (93 °F)",1,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,93066.0,93987.0,93373.0,32,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +9.0,7,6,3.0,57,5428137.0,25.0,4.0,92660.0,210.265,webber,91.0,Australian,williams,British,2006,1,Bahrain Grand Prix,52200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,5.0,5.0,0.0,93454.0,92309.0,93006.0,48,30,"Fine, Dry and HotAir Temp 23 °C (73 °F)[1]Track Temp 40 °C (104 °F)[1] dropping to 34 °C (93 °F)",1,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,92309.0,93454.0,92923.0,30,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +19.0,15,12,0.0,54,,34.0,18.0,98198.0,203.209,albers,86.0,Dutch,mf1,Russian,2006,2,Malaysian Grand Prix,54000000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+2 Laps,0.0,0.0,10.0,0.0,97426.0,97426.0,97426.0,45,27,"Fine, Air Temp: 33°C, Wind Speed: 1.5 m/s, Humidity: 61%",1,0,0,0,0,Race circuit,Clockwise,5.543,56.0,310.408,97426.0,97426.0,97426.0,27,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +1.0,7,2,8.0,56,5445114.0,45.0,1.0,94803.0,210.487,alonso,14.0,Spanish,renault,French,2006,2,Malaysian Grand Prix,54000000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,1.0,28.0,1.0,1.0,95514.0,93997.0,95747.0,43,25,"Fine, Air Temp: 33°C, Wind Speed: 1.5 m/s, Humidity: 61%",1,0,0,0,0,Race circuit,Clockwise,5.543,56.0,310.408,93997.0,95747.0,95086.0,25,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,20,10,0.0,55,,54.0,10.0,96188.0,207.456,barrichello,96.0,Brazilian,honda,Japanese,2006,2,Malaysian Grand Prix,54000000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+1 Lap,0.0,11.0,4.0,0.0,95526.0,94683.0,94683.0,52,34,"Fine, Air Temp: 33°C, Wind Speed: 1.5 m/s, Humidity: 61%",1,0,0,0,0,Race circuit,Clockwise,5.543,56.0,310.408,94683.0,95526.0,94964.0,34,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +12.0,2,3,6.0,56,5450160.0,35.0,4.0,95604.0,208.723,button,22.0,British,honda,Japanese,2006,2,Malaysian Grand Prix,54000000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,11.0,4.0,0.0,95023.0,93527.0,93986.0,44,26,"Fine, Air Temp: 33°C, Wind Speed: 1.5 m/s, Humidity: 61%",1,0,0,0,0,Race circuit,Clockwise,5.543,56.0,310.408,93527.0,95023.0,94178.66666666669,26,0,2,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +2.0,1,1,10.0,56,5440529.0,16.0,2.0,95294.0,209.402,fisichella,84.0,Italian,renault,French,2006,2,Malaysian Grand Prix,54000000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,28.0,1.0,2.0,95488.0,93623.0,93840.0,51,33,"Fine, Air Temp: 33°C, Wind Speed: 1.5 m/s, Humidity: 61%",1,0,0,0,0,Race circuit,Clockwise,5.543,56.0,310.408,93623.0,95488.0,94317.0,33,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +20.0,13,11,0.0,54,,40.0,16.0,97387.0,204.902,liuzzi,29.0,Italian,toro_rosso,Italian,2006,2,Malaysian Grand Prix,54000000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+2 Laps,0.0,0.0,9.0,0.0,96581.0,96581.0,96581.0,44,26,"Fine, Air Temp: 33°C, Wind Speed: 1.5 m/s, Humidity: 61%",1,0,0,0,0,Race circuit,Clockwise,5.543,56.0,310.408,96581.0,96581.0,96581.0,26,0,2,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +6.0,21,5,4.0,56,5483783.0,51.0,8.0,95954.0,207.962,massa,19.0,Brazilian,ferrari,Italian,2006,2,Malaysian Grand Prix,54000000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,15.0,2.0,0.0,95091.0,95091.0,95091.0,43,25,"Fine, Air Temp: 33°C, Wind Speed: 1.5 m/s, Humidity: 61%",1,0,0,0,0,Race circuit,Clockwise,5.543,56.0,310.408,95091.0,95091.0,95091.0,25,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +5.0,14,6,3.0,56,5484383.0,44.0,5.0,95647.0,208.629,michael_schumacher,60.0,German,ferrari,Italian,2006,2,Malaysian Grand Prix,54000000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,15.0,2.0,0.0,95810.0,94574.0,94668.0,55,37,"Fine, Air Temp: 33°C, Wind Speed: 1.5 m/s, Humidity: 61%",1,0,0,0,0,Race circuit,Clockwise,5.543,56.0,310.408,94574.0,95810.0,95017.33333333331,37,0,2,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +18.0,16,13,0.0,54,,39.0,19.0,99510.0,200.53,monteiro,48.0,Portuguese,mf1,Russian,2006,2,Malaysian Grand Prix,54000000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+2 Laps,0.0,0.0,10.0,0.0,97819.0,97819.0,97819.0,48,30,"Fine, Air Temp: 33°C, Wind Speed: 1.5 m/s, Humidity: 61%",1,0,0,0,0,Race circuit,Clockwise,5.543,56.0,310.408,97819.0,97819.0,97819.0,30,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +4.0,5,4,5.0,56,5479880.0,39.0,3.0,95566.0,208.806,montoya,32.0,Colombian,mclaren,British,2006,2,Malaysian Grand Prix,54000000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,15.0,3.0,0.0,94536.0,94568.0,94916.0,49,31,"Fine, Air Temp: 33°C, Wind Speed: 1.5 m/s, Humidity: 61%",1,0,0,0,0,Race circuit,Clockwise,5.543,56.0,310.408,94536.0,94916.0,94673.33333333331,31,0,2,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +7.0,22,8,1.0,56,5521817.0,34.0,6.0,95686.0,208.544,ralf_schumacher,56.0,German,toyota,Japanese,2006,2,Malaysian Grand Prix,54000000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,1.0,7.0,0.0,95214.0,94586.0,94586.0,49,31,"Fine, Air Temp: 33°C, Wind Speed: 1.5 m/s, Humidity: 61%",1,0,0,0,0,Race circuit,Clockwise,5.543,56.0,310.408,94586.0,95214.0,94795.33333333331,31,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +22.0,17,14,0.0,53,,14.0,20.0,100199.0,199.151,sato,34.0,Japanese,super_aguri,Japanese,2006,2,Malaysian Grand Prix,54000000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+3 Laps,0.0,0.0,11.0,0.0,99011.0,99011.0,99011.0,47,29,"Fine, Air Temp: 33°C, Wind Speed: 1.5 m/s, Humidity: 61%",1,0,0,0,0,Race circuit,Clockwise,5.543,56.0,310.408,99011.0,99011.0,99011.0,29,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +8.0,9,9,0.0,55,,52.0,11.0,96380.0,207.042,trulli,75.0,Italian,toyota,Japanese,2006,2,Malaysian Grand Prix,54000000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+1 Lap,0.0,1.0,7.0,0.0,95517.0,94702.0,94702.0,50,32,"Fine, Air Temp: 33°C, Wind Speed: 1.5 m/s, Humidity: 61%",1,0,0,0,0,Race circuit,Clockwise,5.543,56.0,310.408,94702.0,95517.0,94973.66666666669,32,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +17.0,10,7,2.0,56,5520990.0,43.0,9.0,96002.0,207.858,villeneuve,49.0,Canadian,bmw_sauber,German,2006,2,Malaysian Grand Prix,54000000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,2.0,6.0,0.0,95391.0,94752.0,94752.0,53,35,"Fine, Air Temp: 33°C, Wind Speed: 1.5 m/s, Humidity: 61%",1,0,0,0,0,Race circuit,Clockwise,5.543,56.0,310.408,94752.0,95391.0,94965.0,35,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +19.0,17,11,0.0,56,,53.0,15.0,89238.0,213.931,albers,86.0,Dutch,mf1,Russian,2006,3,Australian Grand Prix,50400000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+1 Lap,0.0,0.0,10.0,0.0,90226.0,90226.0,90226.0,45,27,Cloudy with sunny breaks. Air temperature 20°C,1,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,90226.0,90226.0,90226.0,27,0,3,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +1.0,3,1,10.0,57,5667870.0,49.0,2.0,86189.0,221.499,alonso,14.0,Spanish,renault,French,2006,3,Australian Grand Prix,50400000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,1.0,42.0,1.0,2.0,88569.0,85729.0,85778.0,43,25,Cloudy with sunny breaks. Air temperature 20°C,1,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,85729.0,88569.0,86692.0,25,0,3,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,16,7,2.0,57,5719770.0,32.0,6.0,87690.0,217.707,barrichello,96.0,Brazilian,honda,Japanese,2006,3,Australian Grand Prix,50400000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,13.0,4.0,0.0,89943.0,89943.0,89943.0,52,34,Cloudy with sunny breaks. Air temperature 20°C,1,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,89943.0,89943.0,89943.0,34,0,3,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +12.0,1,10,0.0,56,,17.0,8.0,87799.0,217.437,button,22.0,British,honda,Japanese,2006,3,Australian Grand Prix,50400000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+1 Lap,0.0,13.0,4.0,0.0,88081.0,86337.0,85229.0,44,26,Cloudy with sunny breaks. Air temperature 20°C,1,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,85229.0,88081.0,86549.0,26,0,3,1,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +14.0,11,8,1.0,57,5721770.0,32.0,12.0,88250.0,216.326,coulthard,68.0,British,red_bull,Austrian,2006,3,Australian Grand Prix,50400000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,2.0,8.0,0.0,88408.0,87023.0,87023.0,53,35,Cloudy with sunny breaks. Air temperature 20°C,1,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,87023.0,88408.0,87484.66666666667,35,0,3,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +2.0,2,5,4.0,57,5705970.0,53.0,5.0,87561.0,218.028,fisichella,84.0,Italian,renault,French,2006,3,Australian Grand Prix,50400000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,1.0,42.0,1.0,3.0,87765.0,86196.0,85635.0,51,33,Cloudy with sunny breaks. Air temperature 20°C,1,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,85635.0,87765.0,86532.0,33,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +16.0,8,4,5.0,57,5698870.0,49.0,7.0,87700.0,217.683,heidfeld,43.0,German,bmw_sauber,German,2006,3,Australian Grand Prix,50400000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,10.0,5.0,0.0,87796.0,86014.0,87579.0,47,29,Cloudy with sunny breaks. Air temperature 20°C,1,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,86014.0,87796.0,87129.66666666667,29,0,3,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +23.0,22,13,0.0,54,,49.0,18.0,93737.0,203.663,ide,54.0,Japanese,super_aguri,Japanese,2006,3,Australian Grand Prix,50400000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+3 Laps,0.0,0.0,11.0,0.0,96164.0,96164.0,96164.0,49,31,Cloudy with sunny breaks. Air temperature 20°C,1,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,96164.0,96164.0,96164.0,31,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +3.0,4,2,8.0,57,5669670.0,57.0,1.0,86045.0,221.869,raikkonen,7.0,Finnish,mclaren,British,2006,3,Australian Grand Prix,50400000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,23.0,2.0,0.0,87193.0,86161.0,85822.0,45,27,Cloudy with sunny breaks. Air temperature 20°C,1,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,85822.0,87193.0,86392.0,27,0,3,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +7.0,6,3,6.0,57,5692670.0,45.0,10.0,87810.0,217.41,ralf_schumacher,56.0,German,toyota,Japanese,2006,3,Australian Grand Prix,50400000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,7.0,6.0,0.0,88007.0,86596.0,86612.0,49,31,Cloudy with sunny breaks. Air temperature 20°C,1,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,86596.0,88007.0,87071.66666666667,31,0,3,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +22.0,21,12,0.0,55,,54.0,17.0,90574.0,210.775,sato,34.0,Japanese,super_aguri,Japanese,2006,3,Australian Grand Prix,50400000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+2 Laps,0.0,0.0,11.0,0.0,92279.0,92279.0,92279.0,47,29,Cloudy with sunny breaks. Air temperature 20°C,1,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,92279.0,92279.0,92279.0,29,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +21.0,18,9,0.0,57,5746670.0,26.0,14.0,88367.0,216.039,speed,67.0,American,toro_rosso,Italian,2006,3,Australian Grand Prix,50400000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,0.0,9.0,0.0,90426.0,90426.0,90426.0,41,23,Cloudy with sunny breaks. Air temperature 20°C,1,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,90426.0,90426.0,90426.0,23,0,3,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +17.0,19,6,3.0,57,5717370.0,56.0,13.0,88321.0,216.152,villeneuve,49.0,Canadian,bmw_sauber,German,2006,3,Australian Grand Prix,50400000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,10.0,5.0,0.0,88460.0,86714.0,89239.0,53,35,Cloudy with sunny breaks. Air temperature 20°C,1,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,86714.0,89239.0,88137.66666666667,35,0,3,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +1.0,5,2,8.0,62,5468582.0,23.0,1.0,84569.0,211.098,alonso,14.0,Spanish,renault,French,2006,4,San Marino Grand Prix,50400000.0,imola,Imola,Italy,44.3439,11.7167,37.0,Finished,2.0,51.0,1.0,3.0,83536.0,83743.0,83709.0,43,25,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,4.909,63.0,309.049,83536.0,83743.0,83662.66666666667,25,0,4,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,3,10,0.0,62,5544337.0,12.0,13.0,86129.0,207.275,barrichello,96.0,Brazilian,honda,Japanese,2006,4,San Marino Grand Prix,50400000.0,imola,Imola,Italy,44.3439,11.7167,37.0,Finished,0.0,15.0,4.0,0.0,84727.0,83760.0,83242.0,52,34,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,4.909,63.0,309.049,83242.0,84727.0,83909.66666666667,34,0,4,0,0,0,0,0,0,1,0,0,1,0,0,0,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +12.0,2,7,2.0,62,5506121.0,29.0,6.0,85347.0,209.174,button,22.0,British,honda,Japanese,2006,4,San Marino Grand Prix,50400000.0,imola,Imola,Italy,44.3439,11.7167,37.0,Finished,0.0,15.0,4.0,0.0,84480.0,83749.0,82988.0,44,26,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,4.909,63.0,309.049,82988.0,84480.0,83739.0,26,0,4,1,0,1,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +2.0,11,8,1.0,62,5506686.0,43.0,7.0,85353.0,209.159,fisichella,84.0,Italian,renault,French,2006,4,San Marino Grand Prix,50400000.0,imola,Imola,Italy,44.3439,11.7167,37.0,Finished,1.0,51.0,1.0,3.0,84434.0,83771.0,83771.0,51,33,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,4.909,63.0,309.049,83771.0,84434.0,83992.0,33,0,4,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +16.0,15,13,0.0,61,,53.0,12.0,85996.0,207.595,heidfeld,43.0,German,bmw_sauber,German,2006,4,San Marino Grand Prix,50400000.0,imola,Imola,Italy,44.3439,11.7167,37.0,+1 Lap,0.0,10.0,5.0,0.0,85410.0,84129.0,84129.0,47,29,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,4.909,63.0,309.049,84129.0,85410.0,84556.0,29,0,4,0,0,0,1,0,0,0,0,0,0,0,1,0,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +20.0,16,14,0.0,61,,43.0,11.0,85679.0,208.363,liuzzi,29.0,Italian,toro_rosso,Italian,2006,4,San Marino Grand Prix,50400000.0,imola,Imola,Italy,44.3439,11.7167,37.0,+1 Lap,0.0,0.0,9.0,0.0,84879.0,84520.0,84520.0,44,26,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,4.909,63.0,309.049,84520.0,84879.0,84639.66666666667,26,0,4,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +6.0,4,4,5.0,62,5483582.0,12.0,10.0,85528.0,208.731,massa,19.0,Brazilian,ferrari,Italian,2006,4,San Marino Grand Prix,50400000.0,imola,Imola,Italy,44.3439,11.7167,37.0,Finished,0.0,30.0,3.0,1.0,84884.0,83595.0,83702.0,43,25,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,4.909,63.0,309.049,83595.0,84884.0,84060.33333333333,25,0,4,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +5.0,1,1,10.0,62,5466486.0,19.0,2.0,84624.0,210.961,michael_schumacher,60.0,German,ferrari,Italian,2006,4,San Marino Grand Prix,50400000.0,imola,Imola,Italy,44.3439,11.7167,37.0,Finished,0.0,30.0,3.0,1.0,84598.0,82579.0,82795.0,55,37,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,4.909,63.0,309.049,82579.0,84598.0,83324.0,37,0,4,1,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +18.0,19,16,0.0,60,,53.0,18.0,87160.0,204.823,monteiro,48.0,Portuguese,mf1,Russian,2006,4,San Marino Grand Prix,50400000.0,imola,Imola,Italy,44.3439,11.7167,37.0,+2 Laps,0.0,0.0,10.0,0.0,86820.0,86820.0,86820.0,48,30,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,4.909,63.0,309.049,86820.0,86820.0,86820.0,30,0,4,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,1,0,58.0,72.0,78.0,73.0,72.0 +4.0,7,3,6.0,62,5482354.0,22.0,4.0,85096.0,209.791,montoya,32.0,Colombian,mclaren,British,2006,4,San Marino Grand Prix,50400000.0,imola,Imola,Italy,44.3439,11.7167,37.0,Finished,0.0,33.0,2.0,0.0,84960.0,83760.0,84021.0,49,31,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,4.909,63.0,309.049,83760.0,84960.0,84247.0,31,0,4,0,0,0,1,1,0,0,0,0,0,0,0,0,1,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +3.0,8,5,4.0,62,5484010.0,49.0,3.0,85027.0,209.961,raikkonen,7.0,Finnish,mclaren,British,2006,4,San Marino Grand Prix,50400000.0,imola,Imola,Italy,44.3439,11.7167,37.0,Finished,0.0,33.0,2.0,0.0,84259.0,83190.0,84158.0,45,27,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,4.909,63.0,309.049,83190.0,84259.0,83869.0,27,0,4,2,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +7.0,6,9,0.0,62,5511997.0,45.0,5.0,85316.0,209.25,ralf_schumacher,56.0,German,toyota,Japanese,2006,4,San Marino Grand Prix,50400000.0,imola,Imola,Italy,44.3439,11.7167,37.0,Finished,0.0,7.0,7.0,0.0,84370.0,83565.0,83772.0,49,31,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,4.909,63.0,309.049,83565.0,84370.0,83902.33333333333,31,0,4,1,0,1,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +10.0,13,11,0.0,62,5546161.0,30.0,15.0,86418.0,206.581,rosberg,6.0,German,williams,British,2006,4,San Marino Grand Prix,50400000.0,imola,Imola,Italy,44.3439,11.7167,37.0,Finished,0.0,8.0,6.0,0.0,84495.0,83966.0,83966.0,39,21,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,4.909,63.0,309.049,83966.0,84495.0,84142.33333333333,21,0,4,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +21.0,18,15,0.0,61,,57.0,14.0,86248.0,206.989,speed,67.0,American,toro_rosso,Italian,2006,4,San Marino Grand Prix,50400000.0,imola,Imola,Italy,44.3439,11.7167,37.0,+1 Lap,0.0,0.0,9.0,0.0,85437.0,85437.0,85437.0,41,23,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,4.909,63.0,309.049,85437.0,85437.0,85437.0,23,0,4,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +17.0,12,12,0.0,62,5548856.0,53.0,8.0,85438.0,208.951,villeneuve,49.0,Canadian,bmw_sauber,German,2006,4,San Marino Grand Prix,50400000.0,imola,Imola,Italy,44.3439,11.7167,37.0,Finished,0.0,10.0,5.0,0.0,85081.0,83887.0,83887.0,53,35,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,4.909,63.0,309.049,83887.0,85081.0,84285.0,35,0,4,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +9.0,10,6,3.0,62,5504225.0,39.0,9.0,85488.0,208.829,webber,91.0,Australian,williams,British,2006,4,San Marino Grand Prix,50400000.0,imola,Imola,Italy,44.3439,11.7167,37.0,Finished,0.0,8.0,6.0,0.0,84992.0,83718.0,84795.0,48,30,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,4.909,63.0,309.049,83718.0,84992.0,84501.66666666667,30,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +19.0,16,13,0.0,59,,35.0,17.0,95428.0,194.207,albers,86.0,Dutch,mf1,Russian,2006,5,European Grand Prix,50400000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,+1 Lap,0.0,0.0,10.0,0.0,92936.0,92936.0,92936.0,45,27,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.148,60.0,308.617,92936.0,92936.0,92936.0,27,0,5,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +1.0,1,2,8.0,60,5762516.0,37.0,3.0,92532.0,200.285,alonso,14.0,Spanish,renault,French,2006,5,European Grand Prix,50400000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,Finished,2.0,62.0,1.0,3.0,91138.0,90336.0,89816.0,43,25,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.148,60.0,308.617,89816.0,91138.0,90430.0,25,0,5,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,4,5,4.0,60,5831351.0,59.0,9.0,93952.0,197.258,barrichello,96.0,Brazilian,honda,Japanese,2006,5,European Grand Prix,50400000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,Finished,0.0,19.0,4.0,0.0,91671.0,90469.0,90754.0,52,34,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.148,60.0,308.617,90469.0,91671.0,90964.66666666669,34,0,5,0,0,0,0,0,0,1,0,0,2,0,0,0,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +2.0,11,6,3.0,60,5832881.0,46.0,4.0,92964.0,199.354,fisichella,84.0,Italian,renault,French,2006,5,European Grand Prix,50400000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,Finished,1.0,62.0,1.0,3.0,91574.0,91197.0,91197.0,51,33,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.148,60.0,308.617,91197.0,91574.0,91322.66666666669,33,0,5,1,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +16.0,13,10,0.0,59,,47.0,11.0,94035.0,197.084,heidfeld,43.0,German,bmw_sauber,German,2006,5,European Grand Prix,50400000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,+1 Lap,0.0,11.0,5.0,0.0,91457.0,91422.0,91422.0,47,29,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.148,60.0,308.617,91422.0,91457.0,91433.66666666669,29,0,5,0,0,0,1,0,0,0,0,0,0,0,1,1,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +6.0,3,3,6.0,60,5763212.0,19.0,5.0,93099.0,199.065,massa,19.0,Brazilian,ferrari,Italian,2006,5,European Grand Prix,50400000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,Finished,0.0,46.0,2.0,2.0,91921.0,90732.0,90407.0,43,25,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.148,60.0,308.617,90407.0,91921.0,91020.0,25,0,5,0,0,0,1,1,0,0,0,1,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +5.0,2,1,10.0,60,5758765.0,39.0,1.0,92099.0,201.226,michael_schumacher,60.0,German,ferrari,Italian,2006,5,European Grand Prix,50400000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,Finished,1.0,46.0,2.0,2.0,91235.0,90013.0,90028.0,55,37,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.148,60.0,308.617,90013.0,91235.0,90425.33333333331,37,0,5,2,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +18.0,18,12,0.0,59,,41.0,18.0,95504.0,194.052,monteiro,48.0,Portuguese,mf1,Russian,2006,5,European Grand Prix,50400000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,+1 Lap,0.0,0.0,10.0,0.0,93658.0,93658.0,93658.0,48,30,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.148,60.0,308.617,93658.0,93658.0,93658.0,30,0,5,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,1,1,0,58.0,72.0,78.0,73.0,72.0 +3.0,5,4,5.0,60,5763644.0,43.0,2.0,92472.0,200.415,raikkonen,7.0,Finnish,mclaren,British,2006,5,European Grand Prix,50400000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,Finished,0.0,38.0,3.0,0.0,91263.0,90203.0,90933.0,45,27,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.148,60.0,308.617,90203.0,91263.0,90799.66666666669,27,0,5,2,1,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +10.0,22,7,2.0,60,5833330.0,48.0,7.0,93579.0,198.044,rosberg,6.0,German,williams,British,2006,5,European Grand Prix,50400000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,Finished,0.0,10.0,6.0,0.0,92053.0,91194.0,91194.0,39,21,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.148,60.0,308.617,91194.0,92053.0,91480.33333333331,21,0,5,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +21.0,17,11,0.0,59,,57.0,14.0,94091.0,196.966,speed,67.0,American,toro_rosso,Italian,2006,5,European Grand Prix,50400000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,+1 Lap,0.0,0.0,9.0,0.0,92992.0,92992.0,92992.0,41,23,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.148,60.0,308.617,92992.0,92992.0,92992.0,23,0,5,0,0,0,0,0,0,0,0,1,0,0,0,1,0,1,1,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,7,9,0.0,59,,58.0,10.0,93953.0,197.256,trulli,75.0,Italian,toyota,Japanese,2006,5,European Grand Prix,50400000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,+1 Lap,0.0,7.0,7.0,0.0,91809.0,90733.0,91419.0,50,32,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.148,60.0,308.617,90733.0,91809.0,91320.33333333331,32,0,5,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +17.0,9,8,1.0,60,5848129.0,38.0,12.0,94037.0,197.079,villeneuve,49.0,Canadian,bmw_sauber,German,2006,5,European Grand Prix,50400000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,Finished,0.0,11.0,5.0,0.0,91545.0,90865.0,91542.0,53,35,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.148,60.0,308.617,90865.0,91545.0,91317.33333333331,35,0,5,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +1.0,1,1,10.0,66,5181759.0,39.0,2.0,76723.0,217.108,alonso,14.0,Spanish,renault,French,2006,6,Spanish Grand Prix,50400000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,2.0,78.0,1.0,3.0,75816.0,75124.0,74648.0,43,25,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,74648.0,75816.0,75196.0,25,0,6,5,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,5,7,2.0,65,,40.0,7.0,77399.0,215.212,barrichello,96.0,Brazilian,honda,Japanese,2006,6,Spanish Grand Prix,50400000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,24.0,4.0,0.0,76266.0,75258.0,75885.0,52,34,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,75258.0,76266.0,75803.0,34,0,6,0,0,0,0,1,0,1,0,0,2,0,0,0,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +12.0,8,6,3.0,66,5240106.0,40.0,6.0,77367.0,215.301,button,22.0,British,honda,Japanese,2006,6,Spanish Grand Prix,50400000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,24.0,4.0,0.0,76054.0,75150.0,76008.0,44,26,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,75150.0,76054.0,75737.33333333333,26,0,6,1,0,1,1,0,0,1,0,0,1,0,0,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +14.0,21,14,0.0,65,,55.0,9.0,77862.0,213.932,coulthard,68.0,British,red_bull,Austrian,2006,6,Spanish Grand Prix,50400000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,2.0,8.0,0.0,80763.0,80763.0,80763.0,53,35,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,80763.0,80763.0,80763.0,35,0,6,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +2.0,2,3,6.0,66,5205710.0,38.0,4.0,77083.0,216.094,fisichella,84.0,Italian,renault,French,2006,6,Spanish Grand Prix,50400000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,1.0,78.0,1.0,4.0,76046.0,74766.0,74709.0,51,33,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,74709.0,76046.0,75173.66666666667,33,0,6,1,0,0,0,1,1,0,1,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +16.0,10,8,1.0,65,,49.0,10.0,77869.0,213.913,heidfeld,43.0,German,bmw_sauber,German,2006,6,Spanish Grand Prix,50400000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,12.0,5.0,0.0,76322.0,75468.0,77144.0,47,29,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,75468.0,77144.0,76311.33333333333,29,0,6,0,0,0,1,0,0,0,0,0,1,0,1,1,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +15.0,14,13,0.0,65,,59.0,15.0,78516.0,212.15,klien,64.0,Austrian,red_bull,Austrian,2006,6,Spanish Grand Prix,50400000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,2.0,8.0,0.0,76627.0,75928.0,75928.0,41,23,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,75928.0,76627.0,76161.0,23,0,6,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +6.0,4,4,5.0,66,5211612.0,42.0,1.0,76648.0,217.32,massa,19.0,Brazilian,ferrari,Italian,2006,6,Spanish Grand Prix,50400000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,59.0,2.0,2.0,76359.0,75245.0,75442.0,43,25,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,75245.0,76359.0,75682.0,25,0,6,1,0,1,1,1,0,0,0,1,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +5.0,3,2,8.0,66,5200261.0,43.0,3.0,76922.0,216.546,michael_schumacher,60.0,German,ferrari,Italian,2006,6,Spanish Grand Prix,50400000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,2.0,59.0,2.0,2.0,76049.0,74637.0,74970.0,55,37,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,74637.0,76049.0,75218.66666666667,37,0,6,3,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +18.0,17,16,0.0,63,,28.0,18.0,79265.0,210.145,monteiro,48.0,Portuguese,mf1,Russian,2006,6,Spanish Grand Prix,50400000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+3 Laps,0.0,0.0,10.0,0.0,77702.0,77702.0,77702.0,48,30,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,77702.0,77702.0,77702.0,30,0,6,0,0,0,0,0,0,0,0,0,0,0,1,1,0,1,1,1,0,58.0,72.0,78.0,73.0,72.0 +3.0,9,5,4.0,66,5238634.0,40.0,5.0,77357.0,215.328,raikkonen,7.0,Finnish,mclaren,British,2006,6,Spanish Grand Prix,50400000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,42.0,3.0,0.0,76613.0,75422.0,76015.0,45,27,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,75422.0,76613.0,76016.66666666667,27,0,6,2,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +10.0,13,11,0.0,65,,51.0,8.0,77861.0,213.935,rosberg,6.0,German,williams,British,2006,6,Spanish Grand Prix,50400000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,10.0,6.0,0.0,77213.0,75804.0,75804.0,39,21,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,75804.0,77213.0,76273.66666666667,21,0,6,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +22.0,19,17,0.0,62,,42.0,21.0,80411.0,207.15,sato,34.0,Japanese,super_aguri,Japanese,2006,6,Spanish Grand Prix,50400000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+4 Laps,0.0,0.0,11.0,0.0,78920.0,78920.0,78920.0,47,29,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,78920.0,78920.0,78920.0,29,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,1,0,2,58.0,72.0,78.0,73.0,72.0 +8.0,7,10,0.0,65,,42.0,13.0,78465.0,212.288,trulli,75.0,Italian,toyota,Japanese,2006,6,Spanish Grand Prix,50400000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,7.0,7.0,0.0,76174.0,75068.0,75976.0,50,32,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,75068.0,76174.0,75739.33333333333,32,0,6,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +17.0,22,12,0.0,65,,62.0,12.0,78050.0,213.417,villeneuve,49.0,Canadian,bmw_sauber,German,2006,6,Spanish Grand Prix,50400000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,12.0,5.0,0.0,76066.0,75847.0,75847.0,53,35,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,75847.0,76066.0,75920.0,35,0,6,0,0,0,0,0,1,1,1,0,0,0,1,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +9.0,11,9,0.0,65,,61.0,11.0,77900.0,213.827,webber,91.0,Australian,williams,British,2006,6,Spanish Grand Prix,50400000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,10.0,6.0,0.0,76685.0,75502.0,75502.0,48,30,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,75502.0,76685.0,75896.33333333333,30,0,6,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +19.0,16,12,0.0,77,,77.0,16.0,77603.0,154.942,albers,86.0,Dutch,mf1,Russian,2006,7,Monaco Grand Prix,50400000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,0.0,10.0,0.0,75598.0,75598.0,75598.0,45,27,Fine,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,75598.0,75598.0,75598.0,27,0,7,0,0,0,0,0,0,0,0,0,0,1,1,1,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +1.0,1,1,10.0,78,6223116.0,11.0,3.0,75671.0,158.898,alonso,14.0,Spanish,renault,French,2006,7,Monaco Grand Prix,50400000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,3.0,91.0,1.0,4.0,74232.0,73622.0,73962.0,43,25,Fine,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,73622.0,74232.0,73938.66666666667,25,0,7,6,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,5,4,5.0,78,6276453.0,67.0,12.0,77320.0,155.509,barrichello,96.0,Brazilian,honda,Japanese,2006,7,Monaco Grand Prix,50400000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,29.0,4.0,0.0,74766.0,74312.0,75804.0,52,34,Fine,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,74312.0,75804.0,74960.66666666667,34,0,7,0,0,0,0,1,0,2,0,0,2,0,0,0,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +12.0,13,11,0.0,77,,59.0,10.0,77300.0,155.549,button,22.0,British,honda,Japanese,2006,7,Monaco Grand Prix,50400000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,29.0,4.0,0.0,75085.0,74982.0,74982.0,44,26,Fine,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,74982.0,75085.0,75016.33333333333,26,0,7,1,0,1,1,0,1,1,0,0,1,0,0,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +14.0,7,3,6.0,78,6275414.0,45.0,19.0,77849.0,154.452,coulthard,68.0,British,red_bull,Austrian,2006,7,Monaco Grand Prix,50400000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,8.0,8.0,0.0,75090.0,73687.0,76426.0,53,35,Fine,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,73687.0,76426.0,75067.66666666667,35,0,7,0,0,0,0,0,0,0,1,0,1,0,0,0,1,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +2.0,9,6,3.0,78,6285188.0,58.0,5.0,75919.0,158.379,fisichella,84.0,Italian,renault,French,2006,7,Monaco Grand Prix,50400000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,1.0,91.0,1.0,5.0,74614.0,73647.0,77260.0,51,33,Fine,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,73647.0,77260.0,75173.66666666667,33,0,7,2,0,1,0,1,1,0,1,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +16.0,15,7,2.0,77,,72.0,11.0,77319.0,155.511,heidfeld,43.0,German,bmw_sauber,German,2006,7,Monaco Grand Prix,50400000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,14.0,5.0,0.0,75324.0,75137.0,75137.0,47,29,Fine,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,75137.0,75324.0,75199.33333333333,29,0,7,0,0,0,1,0,0,0,1,0,1,0,1,1,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +20.0,12,10,0.0,77,,75.0,17.0,77660.0,154.828,liuzzi,29.0,Italian,toro_rosso,Italian,2006,7,Monaco Grand Prix,50400000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,0.0,9.0,0.0,75314.0,74969.0,74969.0,44,26,Fine,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,74969.0,75314.0,75084.0,26,0,7,0,0,0,0,0,0,0,0,0,0,2,0,0,1,1,1,0,0,58.0,72.0,78.0,73.0,72.0 +6.0,21,9,0.0,77,,40.0,7.0,76612.0,156.946,massa,19.0,Brazilian,ferrari,Italian,2006,7,Monaco Grand Prix,50400000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,63.0,2.0,2.0,77502.0,77502.0,77502.0,43,25,Fine,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,77502.0,77502.0,77502.0,25,0,7,1,0,1,2,1,0,0,0,1,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +5.0,22,5,4.0,78,6276946.0,74.0,1.0,75143.0,160.014,michael_schumacher,60.0,German,ferrari,Italian,2006,7,Monaco Grand Prix,50400000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,2.0,63.0,2.0,2.0,77502.0,77502.0,77502.0,55,37,Fine,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,77502.0,77502.0,77502.0,37,0,7,4,2,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +23.0,20,16,0.0,75,,72.0,22.0,79104.0,152.002,montagny,76.0,French,super_aguri,Japanese,2006,7,Monaco Grand Prix,50400000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+3 Laps,0.0,0.0,11.0,0.0,77502.0,77502.0,77502.0,46,28,Fine,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,77502.0,77502.0,77502.0,28,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +18.0,17,15,0.0,76,,71.0,13.0,77329.0,155.491,monteiro,48.0,Portuguese,mf1,Russian,2006,7,Monaco Grand Prix,50400000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+2 Laps,0.0,0.0,10.0,0.0,75993.0,75993.0,75993.0,48,30,Fine,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,75993.0,75993.0,75993.0,30,0,7,0,0,0,0,0,0,0,0,0,0,0,1,1,0,1,2,1,0,58.0,72.0,78.0,73.0,72.0 +4.0,4,2,8.0,78,6237683.0,20.0,6.0,76008.0,158.193,montoya,32.0,Colombian,mclaren,British,2006,7,Monaco Grand Prix,50400000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,50.0,3.0,0.0,74483.0,74295.0,74664.0,49,31,Fine,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,74295.0,74664.0,74480.66666666667,31,0,7,1,0,1,1,1,0,0,0,0,0,0,0,0,1,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +7.0,10,8,1.0,77,,72.0,15.0,77540.0,155.068,ralf_schumacher,56.0,German,toyota,Japanese,2006,7,Monaco Grand Prix,50400000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,8.0,7.0,0.0,74412.0,74398.0,74398.0,49,31,Fine,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,74398.0,74412.0,74402.66666666667,31,0,7,1,0,1,0,0,0,0,1,1,0,0,0,0,2,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +21.0,18,13,0.0,77,,77.0,14.0,77481.0,155.186,speed,67.0,American,toro_rosso,Italian,2006,7,Monaco Grand Prix,50400000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,0.0,9.0,0.0,76236.0,76236.0,76236.0,41,23,Fine,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,76236.0,76236.0,76236.0,23,0,7,0,0,0,0,0,0,0,0,1,0,1,0,1,0,1,1,0,0,58.0,72.0,78.0,73.0,72.0 +17.0,14,14,0.0,77,,74.0,18.0,77767.0,154.615,villeneuve,49.0,Canadian,bmw_sauber,German,2006,7,Monaco Grand Prix,50400000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,14.0,5.0,0.0,75316.0,75052.0,75052.0,53,35,Fine,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,75052.0,75316.0,75140.0,35,0,7,0,0,0,0,0,1,1,1,0,0,0,2,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +19.0,18,15,0.0,59,,27.0,13.0,83977.0,220.388,albers,86.0,Dutch,mf1,Russian,2006,8,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,0.0,10.0,0.0,83210.0,83210.0,83210.0,45,27,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,83210.0,83210.0,83210.0,27,0,8,0,0,0,0,0,0,0,0,0,0,1,2,1,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +1.0,1,1,10.0,60,5151927.0,21.0,1.0,81599.0,226.811,alonso,14.0,Spanish,renault,French,2006,8,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,4.0,106.0,1.0,5.0,81018.0,80271.0,80253.0,43,25,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,80253.0,81018.0,80514.0,25,0,8,7,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,6,10,0.0,59,,38.0,11.0,83224.0,222.382,barrichello,96.0,Brazilian,honda,Japanese,2006,8,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,29.0,4.0,0.0,82965.0,80929.0,80943.0,52,34,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,80929.0,82965.0,81612.33333333333,34,0,8,0,0,0,1,1,0,2,0,0,2,0,0,0,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +14.0,11,12,0.0,59,,42.0,14.0,83995.0,220.341,coulthard,68.0,British,red_bull,Austrian,2006,8,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,8.0,8.0,0.0,82424.0,81442.0,81442.0,53,35,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,81442.0,82424.0,81769.33333333333,35,0,8,1,0,1,0,0,0,0,1,0,1,0,0,0,1,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +2.0,5,4,5.0,60,5171903.0,42.0,3.0,82238.0,225.049,fisichella,84.0,Italian,renault,French,2006,8,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,1.0,106.0,1.0,6.0,82411.0,80594.0,80919.0,51,33,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,80594.0,82411.0,81308.0,33,0,8,2,0,1,0,1,2,0,1,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +16.0,9,7,2.0,60,5226521.0,43.0,6.0,82706.0,223.775,heidfeld,43.0,German,bmw_sauber,German,2006,8,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,17.0,5.0,0.0,81670.0,80629.0,81329.0,47,29,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,80629.0,81670.0,81209.33333333333,29,0,8,0,0,0,1,0,0,1,1,0,1,0,1,1,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +15.0,14,14,0.0,59,,30.0,12.0,83712.0,221.086,klien,64.0,Austrian,red_bull,Austrian,2006,8,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,8.0,8.0,0.0,82773.0,81990.0,81990.0,41,23,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,81990.0,82773.0,82251.0,23,0,8,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,2,58.0,72.0,78.0,73.0,72.0 +20.0,13,13,0.0,59,,25.0,15.0,84221.0,219.75,liuzzi,29.0,Italian,toro_rosso,Italian,2006,8,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,0.0,9.0,0.0,82685.0,81699.0,81699.0,44,26,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,81699.0,82685.0,82027.66666666667,26,0,8,0,0,0,0,0,0,0,0,0,1,2,0,0,1,1,1,0,0,58.0,72.0,78.0,73.0,72.0 +6.0,4,5,4.0,60,5183486.0,43.0,4.0,82371.0,224.685,massa,19.0,Brazilian,ferrari,Italian,2006,8,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,75.0,2.0,2.0,81647.0,80846.0,80764.0,43,25,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,80764.0,81647.0,81085.66666666667,25,0,8,1,0,1,2,1,0,0,0,2,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +5.0,3,2,8.0,60,5165878.0,53.0,2.0,81934.0,225.884,michael_schumacher,60.0,German,ferrari,Italian,2006,8,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,2.0,75.0,2.0,2.0,82096.0,80659.0,80574.0,55,37,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,80574.0,82096.0,81109.66666666667,37,0,8,4,2,0,0,1,1,0,0,0,0,0,0,0,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +23.0,21,18,0.0,57,,26.0,19.0,87167.0,212.323,montagny,76.0,French,super_aguri,Japanese,2006,8,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+3 Laps,0.0,0.0,11.0,0.0,86316.0,86316.0,86316.0,46,28,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,86316.0,86316.0,86316.0,28,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,58.0,72.0,78.0,73.0,72.0 +18.0,16,16,0.0,58,,25.0,16.0,84636.0,218.672,monteiro,48.0,Portuguese,mf1,Russian,2006,8,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+2 Laps,0.0,0.0,10.0,0.0,82860.0,82207.0,82207.0,48,30,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,82207.0,82860.0,82424.66666666667,30,0,8,0,0,0,0,0,0,0,0,0,0,0,1,1,0,2,2,1,0,58.0,72.0,78.0,73.0,72.0 +4.0,8,6,3.0,60,5216696.0,38.0,8.0,82780.0,223.575,montoya,32.0,Colombian,mclaren,British,2006,8,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,59.0,3.0,0.0,82169.0,80816.0,81107.0,49,31,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,80816.0,82169.0,81364.0,31,0,8,2,1,1,1,1,0,0,0,0,0,0,0,0,1,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +3.0,2,3,6.0,60,5170599.0,15.0,5.0,82461.0,224.44,raikkonen,7.0,Finnish,mclaren,British,2006,8,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,59.0,3.0,0.0,81648.0,80497.0,80397.0,45,27,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,80397.0,81648.0,80847.33333333333,27,0,8,2,1,1,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +10.0,12,9,0.0,60,5230935.0,47.0,9.0,82916.0,223.209,rosberg,6.0,German,williams,British,2006,8,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,10.0,6.0,0.0,83083.0,81567.0,81567.0,39,21,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,81567.0,83083.0,82072.33333333333,21,0,8,0,0,0,0,0,0,2,0,0,0,2,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +22.0,20,17,0.0,57,,23.0,18.0,86520.0,213.911,sato,34.0,Japanese,super_aguri,Japanese,2006,8,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+3 Laps,0.0,0.0,11.0,0.0,86158.0,86158.0,86158.0,47,29,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,86158.0,86158.0,86158.0,29,0,8,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,1,1,2,58.0,72.0,78.0,73.0,72.0 +8.0,22,11,0.0,59,,19.0,7.0,82744.0,223.673,trulli,75.0,Italian,toyota,Japanese,2006,8,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,8.0,7.0,0.0,86316.0,86316.0,86316.0,50,32,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,86316.0,86316.0,86316.0,32,0,8,0,0,0,0,0,0,0,0,2,1,0,0,0,0,0,1,1,0,58.0,72.0,78.0,73.0,72.0 +17.0,10,8,1.0,60,5230226.0,46.0,10.0,82921.0,223.195,villeneuve,49.0,Canadian,bmw_sauber,German,2006,8,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,17.0,5.0,0.0,81637.0,80672.0,81599.0,53,35,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,80672.0,81637.0,81302.66666666667,35,0,8,0,0,0,0,0,1,1,1,0,0,0,2,0,1,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +1.0,1,1,10.0,70,5677308.0,22.0,2.0,75911.0,206.815,alonso,14.0,Spanish,renault,French,2006,9,Canadian Grand Prix,46800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,5.0,121.0,1.0,6.0,75350.0,74726.0,74942.0,43,25,Sunny and warm with temperatures reaching up to 28 °C (82 °F); wind speeds up to 4.1 kilometres per hour (2.5 mph)[1],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,74726.0,75350.0,75006.0,25,0,9,8,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +12.0,8,9,0.0,69,,21.0,13.0,78001.0,201.274,button,22.0,British,honda,Japanese,2006,9,Canadian Grand Prix,46800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,29.0,4.0,0.0,76594.0,75814.0,76608.0,44,26,Sunny and warm with temperatures reaching up to 28 °C (82 °F); wind speeds up to 4.1 kilometres per hour (2.5 mph)[1],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,75814.0,76608.0,76338.66666666667,26,0,9,1,0,1,1,0,1,1,0,0,1,1,0,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +14.0,22,8,1.0,69,,39.0,10.0,77619.0,202.264,coulthard,68.0,British,red_bull,Austrian,2006,9,Canadian Grand Prix,46800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,9.0,8.0,0.0,76514.0,76301.0,76301.0,53,35,Sunny and warm with temperatures reaching up to 28 °C (82 °F); wind speeds up to 4.1 kilometres per hour (2.5 mph)[1],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,76301.0,76514.0,76372.0,35,0,9,1,0,1,0,0,0,0,1,0,1,0,1,0,1,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +2.0,2,4,5.0,70,5692908.0,49.0,4.0,76669.0,204.771,fisichella,84.0,Italian,renault,French,2006,9,Canadian Grand Prix,46800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,1.0,121.0,1.0,7.0,75917.0,75295.0,75178.0,51,33,Sunny and warm with temperatures reaching up to 28 °C (82 °F); wind speeds up to 4.1 kilometres per hour (2.5 mph)[1],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,75178.0,75917.0,75463.33333333333,33,0,9,2,0,1,1,1,2,0,1,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +16.0,13,7,2.0,69,,52.0,7.0,77454.0,202.695,heidfeld,43.0,German,bmw_sauber,German,2006,9,Canadian Grand Prix,46800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,19.0,5.0,0.0,75906.0,75885.0,75885.0,47,29,Sunny and warm with temperatures reaching up to 28 °C (82 °F); wind speeds up to 4.1 kilometres per hour (2.5 mph)[1],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,75885.0,75906.0,75892.0,29,0,9,0,0,0,1,0,0,2,1,0,1,0,1,1,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +15.0,12,11,0.0,69,,55.0,9.0,77576.0,202.377,klien,64.0,Austrian,red_bull,Austrian,2006,9,Canadian Grand Prix,46800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,9.0,8.0,0.0,76585.0,75833.0,75833.0,41,23,Sunny and warm with temperatures reaching up to 28 °C (82 °F); wind speeds up to 4.1 kilometres per hour (2.5 mph)[1],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,75833.0,76585.0,76083.66666666667,23,0,9,0,0,0,0,0,0,0,1,0,0,0,0,1,1,0,0,0,2,58.0,72.0,78.0,73.0,72.0 +20.0,15,13,0.0,68,,50.0,14.0,78078.0,201.075,liuzzi,29.0,Italian,toro_rosso,Italian,2006,9,Canadian Grand Prix,46800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+2 Laps,0.0,0.0,9.0,0.0,76581.0,76116.0,76116.0,44,26,Sunny and warm with temperatures reaching up to 28 °C (82 °F); wind speeds up to 4.1 kilometres per hour (2.5 mph)[1],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,76116.0,76581.0,76271.0,26,0,9,0,0,0,0,0,0,0,0,0,1,2,0,1,1,1,1,0,0,58.0,72.0,78.0,73.0,72.0 +6.0,10,5,4.0,70,5702408.0,31.0,5.0,77308.0,203.078,massa,19.0,Brazilian,ferrari,Italian,2006,9,Canadian Grand Prix,46800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,87.0,2.0,2.0,76259.0,75555.0,77209.0,43,25,Sunny and warm with temperatures reaching up to 28 °C (82 °F); wind speeds up to 4.1 kilometres per hour (2.5 mph)[1],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,75555.0,77209.0,76341.0,25,0,9,1,0,1,2,2,0,0,0,2,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +5.0,5,2,8.0,70,5679408.0,68.0,3.0,75993.0,206.592,michael_schumacher,60.0,German,ferrari,Italian,2006,9,Canadian Grand Prix,46800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,2.0,87.0,2.0,2.0,75716.0,75139.0,75986.0,55,37,Sunny and warm with temperatures reaching up to 28 °C (82 °F); wind speeds up to 4.1 kilometres per hour (2.5 mph)[1],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,75139.0,75986.0,75613.66666666667,37,0,9,5,3,0,0,1,1,0,0,0,0,0,0,0,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +18.0,18,14,0.0,66,,5.0,18.0,79291.0,197.999,monteiro,48.0,Portuguese,mf1,Russian,2006,9,Canadian Grand Prix,46800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+4 Laps,0.0,0.0,10.0,0.0,77121.0,77121.0,77121.0,48,30,Sunny and warm with temperatures reaching up to 28 °C (82 °F); wind speeds up to 4.1 kilometres per hour (2.5 mph)[1],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,77121.0,77121.0,77121.0,30,0,9,0,0,0,0,0,0,0,0,0,0,0,1,1,0,2,3,1,0,58.0,72.0,78.0,73.0,72.0 +3.0,3,3,6.0,70,5686108.0,22.0,1.0,75841.0,207.006,raikkonen,7.0,Finnish,mclaren,British,2006,9,Canadian Grand Prix,46800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,65.0,3.0,0.0,75376.0,75273.0,75386.0,45,27,Sunny and warm with temperatures reaching up to 28 °C (82 °F); wind speeds up to 4.1 kilometres per hour (2.5 mph)[1],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,75273.0,75386.0,75345.0,27,0,9,3,1,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +21.0,17,10,0.0,69,,52.0,12.0,77720.0,202.002,speed,67.0,American,toro_rosso,Italian,2006,9,Canadian Grand Prix,46800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,0.0,9.0,0.0,77016.0,77016.0,77016.0,41,23,Sunny and warm with temperatures reaching up to 28 °C (82 °F); wind speeds up to 4.1 kilometres per hour (2.5 mph)[1],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,77016.0,77016.0,77016.0,23,0,9,0,0,0,0,0,0,0,0,1,0,1,0,2,0,1,1,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,4,6,3.0,69,,15.0,8.0,77503.0,202.567,trulli,75.0,Italian,toyota,Japanese,2006,9,Canadian Grand Prix,46800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,11.0,6.0,0.0,76455.0,75506.0,75968.0,50,32,Sunny and warm with temperatures reaching up to 28 °C (82 °F); wind speeds up to 4.1 kilometres per hour (2.5 mph)[1],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,75506.0,76455.0,75976.33333333333,32,0,9,0,0,0,0,0,0,0,0,2,1,1,0,0,0,0,1,1,0,58.0,72.0,78.0,73.0,72.0 +9.0,16,12,0.0,69,,17.0,11.0,77705.0,202.041,webber,91.0,Australian,williams,British,2006,9,Canadian Grand Prix,46800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,10.0,7.0,0.0,76985.0,76985.0,76985.0,48,30,Sunny and warm with temperatures reaching up to 28 °C (82 °F); wind speeds up to 4.1 kilometres per hour (2.5 mph)[1],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,76985.0,76985.0,76985.0,30,0,9,0,0,0,0,0,2,0,0,1,0,0,0,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +1.0,5,5,4.0,73,5703609.0,72.0,6.0,73316.0,205.837,alonso,14.0,Spanish,renault,French,2006,10,United States Grand Prix,50400000.0,indianapolis,Indianapolis,USA,39.795,-86.2347,223.0,Finished,6.0,131.0,1.0,7.0,72416.0,71877.0,72449.0,43,25,"Sunny, hot",1,0,0,0,0,Race circuit,Clockwise,4.192,73.0,306.041,71877.0,72449.0,72247.33333333333,25,0,10,9,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,4,6,3.0,73,5711712.0,47.0,7.0,73611.0,205.012,barrichello,96.0,Brazilian,honda,Japanese,2006,10,United States Grand Prix,50400000.0,indianapolis,Indianapolis,USA,39.795,-86.2347,223.0,Finished,0.0,32.0,4.0,0.0,72156.0,71263.0,72109.0,52,34,"Sunny, hot",1,0,0,0,0,Race circuit,Clockwise,4.192,73.0,306.041,71263.0,72156.0,71842.66666666667,34,0,10,0,0,0,1,1,0,2,0,0,3,0,0,0,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +14.0,17,7,2.0,72,,33.0,11.0,74730.0,201.942,coulthard,68.0,British,red_bull,Austrian,2006,10,United States Grand Prix,50400000.0,indianapolis,Indianapolis,USA,39.795,-86.2347,223.0,+1 Lap,0.0,11.0,7.0,0.0,73180.0,73180.0,73180.0,53,35,"Sunny, hot",1,0,0,0,0,Race circuit,Clockwise,4.192,73.0,306.041,73180.0,73180.0,73180.0,35,0,10,1,0,1,0,0,0,0,2,0,1,0,1,0,1,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +2.0,3,3,6.0,73,5691794.0,28.0,3.0,73131.0,206.358,fisichella,84.0,Italian,renault,French,2006,10,United States Grand Prix,50400000.0,indianapolis,Indianapolis,USA,39.795,-86.2347,223.0,Finished,1.0,131.0,1.0,7.0,72287.0,71200.0,71920.0,51,33,"Sunny, hot",1,0,0,0,0,Race circuit,Clockwise,4.192,73.0,306.041,71200.0,72287.0,71802.33333333333,33,0,10,2,0,1,2,1,2,0,1,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +20.0,20,8,1.0,72,,41.0,9.0,74286.0,203.149,liuzzi,29.0,Italian,toro_rosso,Italian,2006,10,United States Grand Prix,50400000.0,indianapolis,Indianapolis,USA,39.795,-86.2347,223.0,+1 Lap,0.0,1.0,9.0,0.0,74041.0,74041.0,74041.0,44,26,"Sunny, hot",1,0,0,0,0,Race circuit,Clockwise,4.192,73.0,306.041,74041.0,74041.0,74041.0,26,0,10,0,0,0,0,0,0,0,0,0,1,2,0,2,1,1,1,0,0,58.0,72.0,78.0,73.0,72.0 +6.0,2,2,8.0,73,5683183.0,29.0,2.0,72954.0,206.859,massa,19.0,Brazilian,ferrari,Italian,2006,10,United States Grand Prix,50400000.0,indianapolis,Indianapolis,USA,39.795,-86.2347,223.0,Finished,0.0,105.0,2.0,3.0,71088.0,71146.0,71435.0,43,25,"Sunny, hot",1,0,0,0,0,Race circuit,Clockwise,4.192,73.0,306.041,71088.0,71435.0,71223.0,25,0,10,1,0,1,2,3,0,0,0,2,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +5.0,1,1,10.0,73,5675199.0,56.0,1.0,72719.0,207.527,michael_schumacher,60.0,German,ferrari,Italian,2006,10,United States Grand Prix,50400000.0,indianapolis,Indianapolis,USA,39.795,-86.2347,223.0,Finished,2.0,105.0,2.0,3.0,71588.0,70636.0,70832.0,55,37,"Sunny, hot",1,0,0,0,0,Race circuit,Clockwise,4.192,73.0,306.041,70636.0,71588.0,71018.66666666667,37,0,10,6,4,0,0,1,1,0,0,0,0,0,0,0,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +7.0,8,10,0.0,62,,29.0,4.0,73225.0,206.093,ralf_schumacher,56.0,German,toyota,Japanese,2006,10,United States Grand Prix,50400000.0,indianapolis,Indianapolis,USA,39.795,-86.2347,223.0,+11 Laps,0.0,16.0,6.0,0.0,71879.0,71673.0,72795.0,49,31,"Sunny, hot",1,0,0,0,0,Race circuit,Clockwise,4.192,73.0,306.041,71673.0,72795.0,72115.66666666667,31,0,10,1,0,1,0,0,0,0,2,1,0,0,0,0,2,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +10.0,21,9,0.0,72,,42.0,10.0,74707.0,202.005,rosberg,6.0,German,williams,British,2006,10,United States Grand Prix,50400000.0,indianapolis,Indianapolis,USA,39.795,-86.2347,223.0,+1 Lap,0.0,10.0,8.0,0.0,73506.0,73506.0,73506.0,39,21,"Sunny, hot",1,0,0,0,0,Race circuit,Clockwise,4.192,73.0,306.041,73506.0,73506.0,73506.0,21,0,10,0,0,0,0,0,0,2,0,1,0,2,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,22,4,5.0,73,5698803.0,37.0,5.0,73269.0,205.969,trulli,75.0,Italian,toyota,Japanese,2006,10,United States Grand Prix,50400000.0,indianapolis,Indianapolis,USA,39.795,-86.2347,223.0,Finished,0.0,16.0,6.0,0.0,73787.0,73787.0,73787.0,50,32,"Sunny, hot",1,0,0,0,0,Race circuit,Clockwise,4.192,73.0,306.041,73787.0,73787.0,73787.0,32,0,10,0,0,0,0,0,1,0,0,2,1,1,0,0,0,0,1,1,0,58.0,72.0,78.0,73.0,72.0 +19.0,15,15,0.0,68,,67.0,18.0,79356.0,200.105,albers,86.0,Dutch,mf1,Russian,2006,11,French Grand Prix,50400000.0,magny_cours,Magny Cours,France,46.8642,3.16361,228.0,+2 Laps,0.0,0.0,10.0,0.0,76962.0,77105.0,77105.0,45,27,"Sunny, warm",1,0,0,0,0,Race circuit,Clockwise,4.411,72.0,306.0,76962.0,77105.0,77057.33333333333,27,0,11,0,0,0,0,0,0,0,0,0,0,2,2,1,0,1,0,0,1,58.0,72.0,78.0,73.0,72.0 +1.0,3,2,8.0,70,5537903.0,23.0,5.0,77770.0,204.186,alonso,14.0,Spanish,renault,French,2006,11,French Grand Prix,50400000.0,magny_cours,Magny Cours,France,46.8642,3.16361,228.0,Finished,6.0,142.0,1.0,7.0,76328.0,75706.0,75785.0,43,25,"Sunny, warm",1,0,0,0,0,Race circuit,Clockwise,4.411,72.0,306.0,75706.0,76328.0,75939.66666666667,25,0,11,9,3,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +14.0,9,9,0.0,69,,56.0,17.0,78978.0,201.063,coulthard,68.0,British,red_bull,Austrian,2006,11,French Grand Prix,50400000.0,magny_cours,Magny Cours,France,46.8642,3.16361,228.0,+1 Lap,0.0,11.0,7.0,0.0,76350.0,75974.0,78663.0,53,35,"Sunny, warm",1,0,0,0,0,Race circuit,Clockwise,4.411,72.0,306.0,75974.0,78663.0,76995.66666666667,35,0,11,1,0,1,0,0,0,1,2,0,1,0,1,0,1,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +2.0,7,6,3.0,70,5573003.0,20.0,9.0,78057.0,203.435,fisichella,84.0,Italian,renault,French,2006,11,French Grand Prix,50400000.0,magny_cours,Magny Cours,France,46.8642,3.16361,228.0,Finished,1.0,142.0,1.0,7.0,76825.0,75901.0,76345.0,51,33,"Sunny, warm",1,0,0,0,0,Race circuit,Clockwise,4.411,72.0,306.0,75901.0,76825.0,76357.0,33,0,11,3,0,2,2,1,2,0,1,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +16.0,11,8,1.0,69,,48.0,14.0,78809.0,201.494,heidfeld,43.0,German,bmw_sauber,German,2006,11,French Grand Prix,50400000.0,magny_cours,Magny Cours,France,46.8642,3.16361,228.0,+1 Lap,0.0,20.0,6.0,0.0,76686.0,76294.0,76294.0,47,29,"Sunny, warm",1,0,0,0,0,Race circuit,Clockwise,4.411,72.0,306.0,76294.0,76686.0,76424.66666666667,29,0,11,0,0,0,1,0,0,3,1,0,1,0,1,1,0,1,0,1,0,58.0,72.0,78.0,73.0,72.0 +15.0,12,12,0.0,69,,56.0,16.0,78968.0,201.089,klien,64.0,Austrian,red_bull,Austrian,2006,11,French Grand Prix,50400000.0,magny_cours,Magny Cours,France,46.8642,3.16361,228.0,+1 Lap,0.0,11.0,7.0,0.0,76921.0,76433.0,76433.0,41,23,"Sunny, warm",1,0,0,0,0,Race circuit,Clockwise,4.411,72.0,306.0,76433.0,76921.0,76595.66666666667,23,0,11,0,0,0,0,0,0,0,1,0,0,1,0,1,1,0,0,0,2,58.0,72.0,78.0,73.0,72.0 +20.0,22,13,0.0,69,,54.0,10.0,78241.0,202.957,liuzzi,29.0,Italian,toro_rosso,Italian,2006,11,French Grand Prix,50400000.0,magny_cours,Magny Cours,France,46.8642,3.16361,228.0,+1 Lap,0.0,1.0,9.0,0.0,77164.0,77164.0,77164.0,44,26,"Sunny, warm",1,0,0,0,0,Race circuit,Clockwise,4.411,72.0,306.0,77164.0,77164.0,77164.0,26,0,11,0,0,0,0,0,0,0,1,0,1,2,0,2,1,1,1,0,0,58.0,72.0,78.0,73.0,72.0 +6.0,2,3,6.0,70,5550303.0,18.0,2.0,77141.0,205.851,massa,19.0,Brazilian,ferrari,Italian,2006,11,French Grand Prix,50400000.0,magny_cours,Magny Cours,France,46.8642,3.16361,228.0,Finished,0.0,121.0,2.0,4.0,76277.0,75679.0,75510.0,43,25,"Sunny, warm",1,0,0,0,0,Race circuit,Clockwise,4.411,72.0,306.0,75510.0,76277.0,75822.0,25,0,11,2,1,1,2,3,0,0,0,2,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +5.0,1,1,10.0,70,5527803.0,46.0,1.0,77111.0,205.931,michael_schumacher,60.0,German,ferrari,Italian,2006,11,French Grand Prix,50400000.0,magny_cours,Magny Cours,France,46.8642,3.16361,228.0,Finished,3.0,121.0,2.0,4.0,75865.0,75111.0,75493.0,55,37,"Sunny, warm",1,0,0,0,0,Race circuit,Clockwise,4.411,72.0,306.0,75111.0,75865.0,75489.66666666667,37,0,11,7,4,0,0,1,1,0,0,0,0,0,0,0,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +23.0,20,16,0.0,67,,53.0,20.0,80113.0,198.215,montagny,76.0,French,super_aguri,Japanese,2006,11,French Grand Prix,50400000.0,magny_cours,Magny Cours,France,46.8642,3.16361,228.0,+3 Laps,0.0,0.0,11.0,0.0,78637.0,78637.0,78637.0,46,28,"Sunny, warm",1,0,0,0,0,Race circuit,Clockwise,4.411,72.0,306.0,78637.0,78637.0,78637.0,28,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,58.0,72.0,78.0,73.0,72.0 +3.0,6,5,4.0,70,5560803.0,30.0,4.0,77717.0,204.325,raikkonen,7.0,Finnish,mclaren,British,2006,11,French Grand Prix,50400000.0,magny_cours,Magny Cours,France,46.8642,3.16361,228.0,Finished,0.0,71.0,3.0,0.0,76154.0,75742.0,76281.0,45,27,"Sunny, warm",1,0,0,0,0,Race circuit,Clockwise,4.411,72.0,306.0,75742.0,76281.0,76059.0,27,0,11,4,1,3,1,2,0,0,0,0,0,0,0,0,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +7.0,5,4,5.0,70,5555003.0,19.0,6.0,77809.0,204.084,ralf_schumacher,56.0,German,toyota,Japanese,2006,11,French Grand Prix,50400000.0,magny_cours,Magny Cours,France,46.8642,3.16361,228.0,Finished,0.0,21.0,5.0,0.0,75949.0,75625.0,76091.0,49,31,"Sunny, warm",1,0,0,0,0,Race circuit,Clockwise,4.411,72.0,306.0,75625.0,76091.0,75888.33333333333,31,0,11,1,0,1,0,0,0,0,2,1,1,0,0,0,2,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +4.0,8,7,2.0,70,5577203.0,34.0,3.0,77625.0,204.568,rosa,82.0,Spanish,mclaren,British,2006,11,French Grand Prix,50400000.0,magny_cours,Magny Cours,France,46.8642,3.16361,228.0,Finished,0.0,71.0,3.0,0.0,76679.0,75902.0,76632.0,53,35,"Sunny, warm",1,0,0,0,0,Race circuit,Clockwise,4.411,72.0,306.0,75902.0,76679.0,76404.33333333333,35,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +10.0,18,14,0.0,68,,62.0,13.0,78796.0,201.527,rosberg,6.0,German,williams,British,2006,11,French Grand Prix,50400000.0,magny_cours,Magny Cours,France,46.8642,3.16361,228.0,+2 Laps,0.0,10.0,8.0,0.0,76534.0,75926.0,78272.0,39,21,"Sunny, warm",1,0,0,0,0,Race circuit,Clockwise,4.411,72.0,306.0,75926.0,78272.0,76910.66666666667,21,0,11,0,0,0,0,0,0,2,0,2,0,2,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +21.0,14,10,0.0,69,,66.0,12.0,78674.0,201.84,speed,67.0,American,toro_rosso,Italian,2006,11,French Grand Prix,50400000.0,magny_cours,Magny Cours,France,46.8642,3.16361,228.0,+1 Lap,0.0,1.0,9.0,0.0,77117.0,77063.0,77063.0,41,23,"Sunny, warm",1,0,0,0,0,Race circuit,Clockwise,4.411,72.0,306.0,77063.0,77117.0,77081.0,23,0,11,0,0,0,0,0,0,0,0,1,1,1,0,2,0,1,1,0,0,58.0,72.0,78.0,73.0,72.0 +17.0,16,11,0.0,69,,56.0,7.0,77906.0,203.83,villeneuve,49.0,Canadian,bmw_sauber,German,2006,11,French Grand Prix,50400000.0,magny_cours,Magny Cours,France,46.8642,3.16361,228.0,+1 Lap,0.0,20.0,6.0,0.0,77304.0,77304.0,77304.0,53,35,"Sunny, warm",1,0,0,0,0,Race circuit,Clockwise,4.411,72.0,306.0,77304.0,77304.0,77304.0,35,0,11,0,0,0,0,0,1,1,2,0,0,0,3,0,1,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +1.0,7,5,4.0,67,5295393.0,66.0,9.0,77256.0,213.14,alonso,14.0,Spanish,renault,French,2006,12,German Grand Prix,50400000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,6.0,149.0,1.0,7.0,75518.0,74746.0,75282.0,43,25,"Sunny, warm",1,0,0,0,0,Race circuit,Clockwise,4.574,64.0,292.736,74746.0,75518.0,75182.0,25,0,12,10,4,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +12.0,4,4,5.0,67,5290493.0,14.0,7.0,76818.0,214.356,button,22.0,British,honda,Japanese,2006,12,German Grand Prix,50400000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,0.0,37.0,4.0,0.0,75869.0,74378.0,74862.0,44,26,"Sunny, warm",1,0,0,0,0,Race circuit,Clockwise,4.574,64.0,292.736,74378.0,75869.0,75036.33333333333,26,0,12,1,0,1,1,0,1,1,0,1,1,1,0,0,0,1,0,1,1,58.0,72.0,78.0,73.0,72.0 +14.0,10,11,0.0,66,,24.0,13.0,77811.0,211.62,coulthard,68.0,British,red_bull,Austrian,2006,12,German Grand Prix,50400000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,+1 Lap,0.0,12.0,7.0,0.0,75836.0,74826.0,76326.0,53,35,"Sunny, warm",1,0,0,0,0,Race circuit,Clockwise,4.574,64.0,292.736,74826.0,76326.0,75662.66666666667,35,0,12,1,0,1,0,0,0,1,2,1,1,0,1,0,1,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +2.0,5,6,3.0,67,5296493.0,18.0,8.0,76981.0,213.902,fisichella,84.0,Italian,renault,French,2006,12,German Grand Prix,50400000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,1.0,149.0,1.0,7.0,75916.0,74540.0,74894.0,51,33,"Sunny, warm",1,0,0,0,0,Race circuit,Clockwise,4.574,64.0,292.736,74540.0,75916.0,75116.66666666667,33,0,12,3,0,2,2,1,3,0,1,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +15.0,12,8,1.0,67,5319793.0,49.0,12.0,77719.0,211.87,klien,64.0,Austrian,red_bull,Austrian,2006,12,German Grand Prix,50400000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,0.0,12.0,7.0,0.0,75816.0,75141.0,75141.0,41,23,"Sunny, warm",1,0,0,0,0,Race circuit,Clockwise,4.574,64.0,292.736,75141.0,75816.0,75366.0,23,0,12,0,0,0,0,0,0,0,1,0,0,1,1,1,1,0,0,0,2,58.0,72.0,78.0,73.0,72.0 +20.0,16,10,0.0,66,,51.0,10.0,77407.0,212.724,liuzzi,29.0,Italian,toro_rosso,Italian,2006,12,German Grand Prix,50400000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,+1 Lap,0.0,1.0,9.0,0.0,76399.0,76399.0,76399.0,44,26,"Sunny, warm",1,0,0,0,0,Race circuit,Clockwise,4.574,64.0,292.736,76399.0,76399.0,76399.0,26,0,12,0,0,0,0,0,0,0,1,0,1,2,0,3,1,1,1,0,0,58.0,72.0,78.0,73.0,72.0 +6.0,3,2,8.0,67,5272393.0,18.0,2.0,76392.0,215.551,massa,19.0,Brazilian,ferrari,Italian,2006,12,German Grand Prix,50400000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,0.0,139.0,2.0,5.0,74412.0,74094.0,74569.0,43,25,"Sunny, warm",1,0,0,0,0,Race circuit,Clockwise,4.574,64.0,292.736,74094.0,74569.0,74358.33333333333,25,0,12,3,1,2,2,3,0,0,0,2,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +5.0,2,1,10.0,67,5271693.0,17.0,1.0,76357.0,215.65,michael_schumacher,60.0,German,ferrari,Italian,2006,12,German Grand Prix,50400000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,4.0,139.0,2.0,5.0,74904.0,73778.0,74205.0,55,37,"Sunny, warm",1,0,0,0,0,Race circuit,Clockwise,4.574,64.0,292.736,73778.0,74904.0,74295.66666666667,37,0,12,8,4,0,0,1,1,0,0,0,0,0,0,0,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +3.0,1,3,6.0,67,5284893.0,4.0,3.0,76475.0,215.317,raikkonen,7.0,Finnish,mclaren,British,2006,12,German Grand Prix,50400000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,0.0,77.0,3.0,0.0,75214.0,74410.0,74070.0,45,27,"Sunny, warm",1,0,0,0,0,Race circuit,Clockwise,4.574,64.0,292.736,74070.0,75214.0,74564.66666666667,27,0,12,4,1,3,1,3,0,0,0,0,0,0,0,0,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +7.0,8,9,0.0,67,5331993.0,64.0,4.0,76763.0,214.509,ralf_schumacher,56.0,German,toyota,Japanese,2006,12,German Grand Prix,50400000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,0.0,23.0,5.0,0.0,75789.0,74743.0,75923.0,49,31,"Sunny, warm",1,0,0,0,0,Race circuit,Clockwise,4.574,64.0,292.736,74743.0,75923.0,75485.0,31,0,12,1,0,1,1,0,0,0,2,1,1,0,0,0,2,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +21.0,19,12,0.0,66,,50.0,11.0,77450.0,212.606,speed,67.0,American,toro_rosso,Italian,2006,12,German Grand Prix,50400000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,+1 Lap,0.0,1.0,9.0,0.0,80444.0,80444.0,80444.0,41,23,"Sunny, warm",1,0,0,0,0,Race circuit,Clockwise,4.574,64.0,292.736,80444.0,80444.0,80444.0,23,0,12,0,0,0,0,0,0,0,0,1,2,1,0,2,0,1,1,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,20,7,2.0,67,5298193.0,48.0,5.0,76807.0,214.386,trulli,75.0,Italian,toyota,Japanese,2006,12,German Grand Prix,50400000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,0.0,23.0,5.0,0.0,75430.0,75150.0,75150.0,50,32,"Sunny, warm",1,0,0,0,0,Race circuit,Clockwise,4.574,64.0,292.736,75150.0,75430.0,75243.33333333333,32,0,12,0,0,0,1,0,1,0,0,2,1,1,0,0,0,0,1,1,0,58.0,72.0,78.0,73.0,72.0 +19.0,22,10,0.0,67,,67.0,8.0,86117.0,183.141,albers,86.0,Dutch,mf1,Russian,2006,13,Hungarian Grand Prix,50400000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+3 Laps,0.0,0.0,10.0,0.0,83146.0,83146.0,83146.0,45,27,Cool and rainy with temperatures reaching up to 20 °C (68 °F)[4],0,1,0,1,0,Race circuit,Clockwise,4.381,70.0,306.63,83146.0,83146.0,83146.0,27,0,13,0,0,0,0,0,0,0,0,0,0,2,2,1,0,2,0,0,1,58.0,72.0,78.0,73.0,72.0 +11.0,3,4,5.0,70,6786146.0,69.0,3.0,84678.0,186.253,barrichello,96.0,Brazilian,honda,Japanese,2006,13,Hungarian Grand Prix,50400000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,52.0,4.0,1.0,81141.0,79783.0,80085.0,52,34,Cool and rainy with temperatures reaching up to 20 °C (68 °F)[4],0,1,0,1,0,Race circuit,Clockwise,4.381,70.0,306.63,79783.0,81141.0,80336.33333333333,34,0,13,0,0,0,1,1,1,2,0,0,3,0,0,0,0,1,1,0,0,58.0,72.0,78.0,73.0,72.0 +12.0,14,1,10.0,70,6740941.0,57.0,4.0,85143.0,185.236,button,22.0,British,honda,Japanese,2006,13,Hungarian Grand Prix,50400000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,52.0,4.0,1.0,80820.0,79943.0,80092.0,44,26,Cool and rainy with temperatures reaching up to 20 °C (68 °F)[4],0,1,0,1,0,Race circuit,Clockwise,4.381,70.0,306.63,79943.0,80820.0,80285.0,26,0,13,1,0,1,2,0,1,1,0,1,1,1,0,0,0,1,0,1,1,58.0,72.0,78.0,73.0,72.0 +14.0,12,5,4.0,69,,65.0,10.0,87572.0,180.098,coulthard,68.0,British,red_bull,Austrian,2006,13,Hungarian Grand Prix,50400000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,16.0,7.0,0.0,81163.0,80890.0,80890.0,53,35,Cool and rainy with temperatures reaching up to 20 °C (68 °F)[4],0,1,0,1,0,Race circuit,Clockwise,4.381,70.0,306.63,80890.0,81163.0,80981.0,35,0,13,1,0,1,0,0,0,1,2,1,1,1,1,0,1,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +16.0,10,3,6.0,70,6784763.0,65.0,7.0,85801.0,183.816,heidfeld,43.0,German,bmw_sauber,German,2006,13,Hungarian Grand Prix,50400000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,26.0,6.0,0.0,81437.0,80623.0,80623.0,47,29,Cool and rainy with temperatures reaching up to 20 °C (68 °F)[4],0,1,0,1,0,Race circuit,Clockwise,4.381,70.0,306.63,80623.0,81437.0,80894.33333333333,29,0,13,0,0,0,1,0,0,3,2,0,1,0,1,1,0,1,0,2,0,58.0,72.0,78.0,73.0,72.0 +6.0,2,7,2.0,69,,65.0,1.0,83516.0,188.845,massa,19.0,Brazilian,ferrari,Italian,2006,13,Hungarian Grand Prix,50400000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,142.0,2.0,5.0,79742.0,79504.0,79886.0,43,25,Cool and rainy with temperatures reaching up to 20 °C (68 °F)[4],0,1,0,1,0,Race circuit,Clockwise,4.381,70.0,306.63,79504.0,79886.0,79710.66666666667,25,0,13,4,2,2,2,3,0,0,0,2,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +18.0,16,9,0.0,67,,66.0,13.0,88178.0,178.86,monteiro,48.0,Portuguese,mf1,Russian,2006,13,Hungarian Grand Prix,50400000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+3 Laps,0.0,0.0,10.0,0.0,82009.0,83767.0,83767.0,48,30,Cool and rainy with temperatures reaching up to 20 °C (68 °F)[4],0,1,0,1,0,Race circuit,Clockwise,4.381,70.0,306.63,82009.0,83767.0,83181.0,30,0,13,0,0,0,0,0,0,0,0,0,0,0,1,2,1,2,3,1,0,58.0,72.0,78.0,73.0,72.0 +7.0,6,6,3.0,69,,65.0,5.0,85247.0,185.01,ralf_schumacher,56.0,German,toyota,Japanese,2006,13,Hungarian Grand Prix,50400000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,26.0,5.0,0.0,81112.0,80243.0,80759.0,49,31,Cool and rainy with temperatures reaching up to 20 °C (68 °F)[4],0,1,0,1,0,Race circuit,Clockwise,4.381,70.0,306.63,80243.0,81112.0,80704.66666666667,31,0,13,1,0,1,1,0,0,0,2,2,1,0,0,0,2,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +4.0,4,2,8.0,70,6771778.0,67.0,2.0,84315.0,187.055,rosa,82.0,Spanish,mclaren,British,2006,13,Hungarian Grand Prix,50400000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,85.0,3.0,0.0,81288.0,79991.0,80117.0,53,35,Cool and rainy with temperatures reaching up to 20 °C (68 °F)[4],0,1,0,1,0,Race circuit,Clockwise,4.381,70.0,306.63,79991.0,81288.0,80465.33333333333,35,0,3,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +22.0,19,13,0.0,65,,53.0,15.0,90957.0,173.396,sato,34.0,Japanese,super_aguri,Japanese,2006,13,Hungarian Grand Prix,50400000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+5 Laps,0.0,0.0,11.0,0.0,82967.0,82967.0,82967.0,47,29,Cool and rainy with temperatures reaching up to 20 °C (68 °F)[4],0,1,0,1,0,Race circuit,Clockwise,4.381,70.0,306.63,82967.0,82967.0,82967.0,29,0,13,0,0,0,0,0,0,0,0,0,0,0,1,0,3,1,1,2,2,58.0,72.0,78.0,73.0,72.0 +21.0,20,11,0.0,66,,66.0,9.0,86249.0,182.861,speed,67.0,American,toro_rosso,Italian,2006,13,Hungarian Grand Prix,50400000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+4 Laps,0.0,1.0,9.0,0.0,82317.0,82317.0,82317.0,41,23,Cool and rainy with temperatures reaching up to 20 °C (68 °F)[4],0,1,0,1,0,Race circuit,Clockwise,4.381,70.0,306.63,82317.0,82317.0,82317.0,23,0,13,0,0,0,0,0,0,0,0,1,2,1,1,2,0,1,1,0,0,58.0,72.0,78.0,73.0,72.0 +1.0,3,2,8.0,58,5336657.0,38.0,3.0,88245.0,217.766,alonso,14.0,Spanish,renault,French,2006,14,Turkish Grand Prix,54000000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,6.0,160.0,1.0,7.0,87861.0,86917.0,87321.0,43,25,"Sunny, hot",1,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,86917.0,87861.0,87366.33333333333,25,0,14,10,4,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,13,8,1.0,58,5391116.0,26.0,6.0,88733.0,216.568,barrichello,96.0,Brazilian,honda,Japanese,2006,14,Turkish Grand Prix,54000000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,0.0,58.0,4.0,1.0,88411.0,88257.0,88257.0,52,34,"Sunny, hot",1,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,88257.0,88411.0,88308.33333333333,34,0,14,0,0,0,2,1,1,2,0,0,3,0,0,0,0,1,1,0,0,58.0,72.0,78.0,73.0,72.0 +12.0,6,4,5.0,58,5343416.0,58.0,4.0,88474.0,217.202,button,22.0,British,honda,Japanese,2006,14,Turkish Grand Prix,54000000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,1.0,58.0,4.0,1.0,88222.0,86872.0,87790.0,44,26,"Sunny, hot",1,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,86872.0,88222.0,87628.0,26,0,14,2,0,1,2,0,1,1,0,1,1,1,0,0,0,1,0,1,1,58.0,72.0,78.0,73.0,72.0 +2.0,4,6,3.0,58,5377676.0,29.0,5.0,88546.0,217.026,fisichella,84.0,Italian,renault,French,2006,14,Turkish Grand Prix,54000000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,1.0,160.0,1.0,7.0,88175.0,87346.0,87564.0,51,33,"Sunny, hot",1,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,87346.0,88175.0,87695.0,33,0,14,3,0,2,2,1,4,0,1,0,0,0,0,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +16.0,5,14,0.0,56,,56.0,16.0,90335.0,212.728,heidfeld,43.0,German,bmw_sauber,German,2006,14,Turkish Grand Prix,54000000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,+2 Laps,0.0,26.0,6.0,0.0,88200.0,87251.0,87785.0,47,29,"Sunny, hot",1,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,87251.0,88200.0,87745.33333333333,29,0,14,1,0,1,1,0,0,3,2,0,1,0,1,1,0,1,0,2,0,58.0,72.0,78.0,73.0,72.0 +15.0,10,11,0.0,57,,26.0,11.0,90025.0,213.46,klien,64.0,Austrian,red_bull,Austrian,2006,14,Turkish Grand Prix,54000000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,+1 Lap,0.0,16.0,7.0,0.0,88271.0,87852.0,87852.0,41,23,"Sunny, hot",1,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,87852.0,88271.0,87991.66666666667,23,0,14,0,0,0,0,0,0,0,2,0,0,1,1,1,1,0,0,0,2,58.0,72.0,78.0,73.0,72.0 +17.0,8,12,0.0,57,,34.0,9.0,89723.0,214.179,kubica,88.0,Polish,bmw_sauber,German,2006,14,Turkish Grand Prix,54000000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,+1 Lap,0.0,26.0,6.0,0.0,88212.0,87405.0,88167.0,40,22,"Sunny, hot",1,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,87405.0,88212.0,87928.0,22,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +6.0,1,1,10.0,58,5331082.0,38.0,2.0,88123.0,218.067,massa,19.0,Brazilian,ferrari,Italian,2006,14,Turkish Grand Prix,54000000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,0.0,158.0,2.0,6.0,87306.0,87059.0,86907.0,43,25,"Sunny, hot",1,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,86907.0,87306.0,87090.66666666667,25,0,14,4,2,2,2,3,0,1,0,2,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +5.0,2,3,6.0,58,5336738.0,55.0,1.0,88005.0,218.36,michael_schumacher,60.0,German,ferrari,Italian,2006,14,Turkish Grand Prix,54000000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,5.0,158.0,2.0,6.0,87385.0,85850.0,87284.0,55,37,"Sunny, hot",1,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,85850.0,87385.0,86839.66666666667,37,0,14,9,4,0,0,1,1,0,1,0,0,0,0,0,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +7.0,15,7,2.0,58,5390419.0,58.0,8.0,89084.0,215.715,ralf_schumacher,56.0,German,toyota,Japanese,2006,14,Turkish Grand Prix,54000000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,0.0,28.0,5.0,0.0,87668.0,87062.0,87569.0,49,31,"Sunny, hot",1,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,87062.0,87668.0,87433.0,31,0,14,1,0,1,1,0,1,0,2,2,1,0,0,0,2,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +4.0,11,5,4.0,58,5376990.0,54.0,7.0,88959.0,216.018,rosa,82.0,Spanish,mclaren,British,2006,14,Turkish Grand Prix,54000000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,0.0,89.0,3.0,0.0,88403.0,87897.0,87897.0,53,35,"Sunny, hot",1,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,87897.0,88403.0,88065.66666666667,35,0,4,1,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +22.0,21,17,0.0,41,,33.0,18.0,91814.0,209.301,sato,34.0,Japanese,super_aguri,Japanese,2006,14,Turkish Grand Prix,54000000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,+17 Laps,0.0,0.0,11.0,0.0,90850.0,90850.0,90850.0,47,29,"Sunny, hot",1,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,90850.0,90850.0,90850.0,29,0,14,0,0,0,0,0,0,0,0,0,0,0,1,1,3,1,1,2,2,58.0,72.0,78.0,73.0,72.0 +21.0,17,13,0.0,57,,43.0,10.0,89933.0,213.679,speed,67.0,American,toro_rosso,Italian,2006,14,Turkish Grand Prix,54000000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,+1 Lap,0.0,1.0,9.0,0.0,89158.0,89158.0,89158.0,41,23,"Sunny, hot",1,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,89158.0,89158.0,89158.0,23,0,14,0,0,0,0,0,0,0,0,1,2,2,1,2,0,1,1,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,12,9,0.0,57,,24.0,13.0,90048.0,213.406,trulli,75.0,Italian,toyota,Japanese,2006,14,Turkish Grand Prix,54000000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,+1 Lap,0.0,28.0,5.0,0.0,88549.0,87973.0,87973.0,50,32,"Sunny, hot",1,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,87973.0,88549.0,88165.0,32,0,14,0,0,0,1,0,1,1,0,2,1,1,1,0,0,0,1,1,0,58.0,72.0,78.0,73.0,72.0 +9.0,9,10,0.0,57,,50.0,15.0,90088.0,213.311,webber,91.0,Australian,williams,British,2006,14,Turkish Grand Prix,54000000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,+1 Lap,0.0,10.0,8.0,0.0,88307.0,87608.0,89436.0,48,30,"Sunny, hot",1,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,87608.0,89436.0,88450.33333333333,30,0,14,0,0,0,0,0,2,0,0,1,0,0,1,1,0,0,0,0,2,58.0,72.0,78.0,73.0,72.0 +19.0,18,17,0.0,51,,17.0,20.0,85494.0,243.932,albers,86.0,Dutch,spyker_mf1,Dutch,2006,15,Italian Grand Prix,50400000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+2 Laps,0.0,0.0,12.0,0.0,83116.0,83116.0,83116.0,45,27,Warm and sunny with temperatures reaching up to 27 °C (81 °F)[1],1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,83116.0,83116.0,83116.0,27,0,15,0,0,0,0,0,0,0,0,0,1,2,2,1,0,2,1,0,1,58.0,72.0,78.0,73.0,72.0 +11.0,8,6,3.0,53,4534384.0,27.0,10.0,83794.0,248.881,barrichello,96.0,Brazilian,honda,Japanese,2006,15,Italian Grand Prix,50400000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,65.0,4.0,1.0,82640.0,81688.0,82787.0,52,34,Warm and sunny with temperatures reaching up to 27 °C (81 °F)[1],1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,81688.0,82787.0,82371.66666666667,34,0,15,0,0,0,2,1,1,2,1,0,3,0,0,0,0,1,1,0,0,58.0,72.0,78.0,73.0,72.0 +12.0,5,5,4.0,53,4524660.0,51.0,7.0,83518.0,249.704,button,22.0,British,honda,Japanese,2006,15,Italian Grand Prix,50400000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,1.0,65.0,4.0,1.0,82512.0,81572.0,82011.0,44,26,Warm and sunny with temperatures reaching up to 27 °C (81 °F)[1],1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,81572.0,82512.0,82031.66666666667,26,0,15,2,0,1,3,0,1,1,0,1,1,1,0,0,0,1,0,1,1,58.0,72.0,78.0,73.0,72.0 +14.0,14,12,0.0,52,,51.0,17.0,84984.0,245.396,coulthard,68.0,British,red_bull,Austrian,2006,15,Italian Grand Prix,50400000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,16.0,7.0,0.0,82618.0,82589.0,82589.0,53,35,Warm and sunny with temperatures reaching up to 27 °C (81 °F)[1],1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,82589.0,82618.0,82598.66666666667,35,0,15,1,0,1,0,1,0,1,2,1,1,1,1,0,1,1,0,1,0,58.0,72.0,78.0,73.0,72.0 +2.0,9,4,5.0,53,4524020.0,25.0,8.0,83617.0,249.408,fisichella,84.0,Italian,renault,French,2006,15,Italian Grand Prix,50400000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,1.0,165.0,2.0,7.0,82486.0,81722.0,83175.0,51,33,Warm and sunny with temperatures reaching up to 27 °C (81 °F)[1],1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,81722.0,83175.0,82461.0,33,0,15,3,0,2,2,1,5,0,1,0,0,0,0,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +16.0,3,8,1.0,53,4537284.0,20.0,6.0,83294.0,250.375,heidfeld,43.0,German,bmw_sauber,German,2006,15,Italian Grand Prix,50400000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,33.0,5.0,0.0,81764.0,81425.0,81653.0,47,29,Warm and sunny with temperatures reaching up to 27 °C (81 °F)[1],1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,81425.0,81764.0,81614.0,29,0,15,1,0,1,1,0,0,3,2,0,1,0,1,1,1,1,0,2,0,58.0,72.0,78.0,73.0,72.0 +15.0,16,11,0.0,52,,37.0,13.0,84571.0,246.595,klien,64.0,Austrian,red_bull,Austrian,2006,15,Italian Grand Prix,50400000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,16.0,7.0,0.0,82898.0,82898.0,82898.0,41,23,Warm and sunny with temperatures reaching up to 27 °C (81 °F)[1],1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,82898.0,82898.0,82898.0,23,0,15,0,0,0,0,0,0,0,2,0,0,2,1,1,1,0,0,0,2,58.0,72.0,78.0,73.0,72.0 +17.0,6,3,6.0,53,4518389.0,21.0,4.0,83111.0,250.927,kubica,88.0,Polish,bmw_sauber,German,2006,15,Italian Grand Prix,50400000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,33.0,5.0,0.0,82437.0,81270.0,82258.0,40,22,Warm and sunny with temperatures reaching up to 27 °C (81 °F)[1],1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,81270.0,82437.0,81988.33333333333,22,0,3,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +20.0,17,14,0.0,52,,52.0,14.0,84764.0,246.033,liuzzi,29.0,Italian,toro_rosso,Italian,2006,15,Italian Grand Prix,50400000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,1.0,9.0,0.0,83043.0,83043.0,83043.0,44,26,Warm and sunny with temperatures reaching up to 27 °C (81 °F)[1],1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,83043.0,83043.0,83043.0,26,0,15,0,0,0,0,0,0,0,1,0,2,2,0,3,1,1,2,0,0,58.0,72.0,78.0,73.0,72.0 +6.0,4,9,0.0,53,4537970.0,41.0,3.0,83003.0,251.253,massa,19.0,Brazilian,ferrari,Italian,2006,15,Italian Grand Prix,50400000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,1.0,168.0,1.0,7.0,82028.0,81225.0,81704.0,43,25,Warm and sunny with temperatures reaching up to 27 °C (81 °F)[1],1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,81225.0,82028.0,81652.33333333333,25,0,15,5,2,2,2,3,0,1,0,2,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +5.0,2,1,10.0,53,4491975.0,14.0,2.0,82575.0,252.555,michael_schumacher,60.0,German,ferrari,Italian,2006,15,Italian Grand Prix,50400000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,5.0,168.0,1.0,7.0,81711.0,81353.0,81486.0,55,37,Warm and sunny with temperatures reaching up to 27 °C (81 °F)[1],1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,81353.0,81711.0,81516.66666666667,37,0,15,10,4,1,0,1,1,0,1,0,0,0,0,0,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +3.0,1,2,8.0,53,4500021.0,13.0,1.0,82559.0,252.604,raikkonen,7.0,Finnish,mclaren,British,2006,15,Italian Grand Prix,50400000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,97.0,3.0,0.0,81994.0,81349.0,81484.0,45,27,Warm and sunny with temperatures reaching up to 27 °C (81 °F)[1],1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,81349.0,81994.0,81609.0,27,0,15,5,1,4,1,3,0,0,0,0,0,0,0,0,0,1,1,0,0,58.0,72.0,78.0,73.0,72.0 +7.0,13,15,0.0,52,,41.0,16.0,84837.0,245.821,ralf_schumacher,56.0,German,toyota,Japanese,2006,15,Italian Grand Prix,50400000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,30.0,6.0,0.0,82622.0,82280.0,82280.0,49,31,Warm and sunny with temperatures reaching up to 27 °C (81 °F)[1],1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,82280.0,82622.0,82394.0,31,0,15,1,0,1,1,0,1,1,2,2,1,0,0,0,2,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +22.0,21,16,0.0,51,,15.0,21.0,85676.0,243.414,sato,34.0,Japanese,super_aguri,Japanese,2006,15,Italian Grand Prix,50400000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+2 Laps,0.0,0.0,11.0,0.0,84289.0,84289.0,84289.0,47,29,Warm and sunny with temperatures reaching up to 27 °C (81 °F)[1],1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,84289.0,84289.0,84289.0,29,0,15,0,0,0,0,0,0,0,0,0,0,0,1,1,3,1,1,3,2,58.0,72.0,78.0,73.0,72.0 +21.0,15,13,0.0,52,,50.0,18.0,85094.0,245.079,speed,67.0,American,toro_rosso,Italian,2006,15,Italian Grand Prix,50400000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,1.0,9.0,0.0,82943.0,83165.0,83165.0,41,23,Warm and sunny with temperatures reaching up to 27 °C (81 °F)[1],1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,82943.0,83165.0,83091.0,23,0,15,0,0,0,0,0,0,0,0,1,2,2,1,3,0,1,1,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,11,7,2.0,53,4536637.0,25.0,11.0,83869.0,248.659,trulli,75.0,Italian,toyota,Japanese,2006,15,Italian Grand Prix,50400000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,30.0,6.0,0.0,82093.0,81924.0,81924.0,50,32,Warm and sunny with temperatures reaching up to 27 °C (81 °F)[1],1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,81924.0,82093.0,81980.33333333333,32,0,15,0,0,0,1,0,1,1,0,3,1,1,1,0,0,0,1,1,0,58.0,72.0,78.0,73.0,72.0 +9.0,19,10,0.0,53,4564577.0,27.0,12.0,84197.0,247.69,webber,91.0,Australian,williams,British,2006,15,Italian Grand Prix,50400000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,10.0,8.0,0.0,83341.0,83341.0,83341.0,48,30,Warm and sunny with temperatures reaching up to 27 °C (81 °F)[1],1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,83341.0,83341.0,83341.0,30,0,15,0,0,0,0,0,2,0,0,1,1,0,1,1,0,0,0,0,2,58.0,72.0,78.0,73.0,72.0 +19.0,22,15,0.0,53,,50.0,17.0,101483.0,193.368,albers,86.0,Dutch,spyker_mf1,Dutch,2006,16,Chinese Grand Prix,50400000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+3 Laps,0.0,0.0,12.0,0.0,109542.0,109542.0,109542.0,45,27,"Cloudy, wet track that progressively dried up.Rainy during the last few laps.",0,0,0,1,1,Race circuit,Clockwise,5.451,56.0,305.066,109542.0,109542.0,109542.0,27,0,16,0,0,0,0,0,0,0,0,0,1,2,2,1,0,2,1,1,1,58.0,72.0,78.0,73.0,72.0 +1.0,1,2,8.0,56,5855868.0,49.0,1.0,97586.0,201.09,alonso,14.0,Spanish,renault,French,2006,16,Chinese Grand Prix,50400000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,6.0,179.0,1.0,7.0,104128.0,103951.0,104360.0,43,25,"Cloudy, wet track that progressively dried up.Rainy during the last few laps.",0,0,0,1,1,Race circuit,Clockwise,5.451,56.0,305.066,103951.0,104360.0,104146.33333333331,25,0,16,11,5,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,3,6,3.0,56,5931878.0,52.0,9.0,99749.0,196.729,barrichello,96.0,Brazilian,honda,Japanese,2006,16,Chinese Grand Prix,50400000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,73.0,4.0,1.0,107072.0,105228.0,105503.0,52,34,"Cloudy, wet track that progressively dried up.Rainy during the last few laps.",0,0,0,1,1,Race circuit,Clockwise,5.451,56.0,305.066,105228.0,107072.0,105934.33333333331,34,0,16,0,0,0,2,1,2,2,1,0,3,0,0,0,0,1,1,0,0,58.0,72.0,78.0,73.0,72.0 +12.0,4,4,5.0,56,5924803.0,51.0,5.0,99206.0,197.806,button,22.0,British,honda,Japanese,2006,16,Chinese Grand Prix,50400000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,1.0,73.0,4.0,1.0,105809.0,104662.0,105503.0,44,26,"Cloudy, wet track that progressively dried up.Rainy during the last few laps.",0,0,0,1,1,Race circuit,Clockwise,5.451,56.0,305.066,104662.0,105809.0,105324.66666666669,26,0,16,2,0,1,3,1,1,1,0,1,1,1,0,0,0,1,0,1,1,58.0,72.0,78.0,73.0,72.0 +14.0,12,9,0.0,56,5956543.0,52.0,15.0,100549.0,195.164,coulthard,68.0,British,red_bull,Austrian,2006,16,Chinese Grand Prix,50400000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,16.0,7.0,0.0,105931.0,105968.0,105968.0,53,35,"Cloudy, wet track that progressively dried up.Rainy during the last few laps.",0,0,0,1,1,Race circuit,Clockwise,5.451,56.0,305.066,105931.0,105968.0,105955.66666666669,35,0,16,1,0,1,0,1,0,1,2,1,1,1,2,0,1,1,0,1,0,58.0,72.0,78.0,73.0,72.0 +15.0,10,12,0.0,55,,52.0,10.0,99801.0,196.627,doornbos,92.0,Dutch,red_bull,Austrian,2006,16,Chinese Grand Prix,50400000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+1 Lap,0.0,16.0,7.0,0.0,106387.0,105747.0,108021.0,43,25,"Cloudy, wet track that progressively dried up.Rainy during the last few laps.",0,0,0,1,1,Race circuit,Clockwise,5.451,56.0,305.066,105747.0,108021.0,106718.33333333331,25,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +2.0,2,3,6.0,56,5896944.0,53.0,6.0,99332.0,197.555,fisichella,84.0,Italian,renault,French,2006,16,Chinese Grand Prix,50400000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,1.0,179.0,1.0,7.0,104378.0,104336.0,104992.0,51,33,"Cloudy, wet track that progressively dried up.Rainy during the last few laps.",0,0,0,1,1,Race circuit,Clockwise,5.451,56.0,305.066,104336.0,104992.0,104568.66666666669,33,0,16,3,0,2,3,1,5,0,1,0,0,0,0,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +16.0,8,7,2.0,56,5944726.0,53.0,4.0,99164.0,197.89,heidfeld,43.0,German,bmw_sauber,German,2006,16,Chinese Grand Prix,50400000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,35.0,5.0,0.0,106249.0,105055.0,106053.0,47,29,"Cloudy, wet track that progressively dried up.Rainy during the last few laps.",0,0,0,1,1,Race circuit,Clockwise,5.451,56.0,305.066,105055.0,106249.0,105785.66666666669,29,0,16,1,0,1,1,0,0,3,3,0,1,0,1,1,1,1,0,2,0,58.0,72.0,78.0,73.0,72.0 +17.0,9,13,0.0,55,,51.0,13.0,100193.0,195.857,kubica,88.0,Polish,bmw_sauber,German,2006,16,Chinese Grand Prix,50400000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+1 Lap,0.0,35.0,5.0,0.0,106049.0,105576.0,106632.0,40,22,"Cloudy, wet track that progressively dried up.Rainy during the last few laps.",0,0,0,1,1,Race circuit,Clockwise,5.451,56.0,305.066,105576.0,106632.0,106085.66666666669,22,0,4,1,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +20.0,13,10,0.0,55,,53.0,18.0,101710.0,192.936,liuzzi,29.0,Italian,toro_rosso,Italian,2006,16,Chinese Grand Prix,50400000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+1 Lap,0.0,1.0,9.0,0.0,105564.0,106172.0,106172.0,44,26,"Cloudy, wet track that progressively dried up.Rainy during the last few laps.",0,0,0,1,1,Race circuit,Clockwise,5.451,56.0,305.066,105564.0,106172.0,105969.33333333331,26,0,16,0,0,0,0,0,0,0,1,0,2,2,0,3,2,1,2,0,0,58.0,72.0,78.0,73.0,72.0 +5.0,6,1,10.0,56,5852747.0,50.0,2.0,98553.0,199.117,michael_schumacher,60.0,German,ferrari,Italian,2006,16,Chinese Grand Prix,50400000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,6.0,178.0,2.0,8.0,107366.0,105660.0,105775.0,55,37,"Cloudy, wet track that progressively dried up.Rainy during the last few laps.",0,0,0,1,1,Race circuit,Clockwise,5.451,56.0,305.066,105660.0,107366.0,106267.0,37,0,16,11,4,1,0,1,1,0,1,0,0,0,0,0,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +4.0,7,5,4.0,56,5929884.0,45.0,3.0,99149.0,197.92,rosa,82.0,Spanish,mclaren,British,2006,16,Chinese Grand Prix,50400000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,101.0,3.0,0.0,104808.0,105095.0,105877.0,53,35,"Cloudy, wet track that progressively dried up.Rainy during the last few laps.",0,0,0,1,1,Race circuit,Clockwise,5.451,56.0,305.066,104808.0,105877.0,105260.0,35,0,6,1,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +10.0,15,11,0.0,55,,52.0,14.0,100471.0,195.316,rosberg,6.0,German,williams,British,2006,16,Chinese Grand Prix,50400000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+1 Lap,0.0,11.0,8.0,0.0,107535.0,107419.0,107419.0,39,21,"Cloudy, wet track that progressively dried up.Rainy during the last few laps.",0,0,0,1,1,Race circuit,Clockwise,5.451,56.0,305.066,107419.0,107535.0,107457.66666666669,21,0,16,0,0,0,0,0,0,2,0,2,0,2,0,0,1,0,0,1,1,58.0,72.0,78.0,73.0,72.0 +21.0,11,14,0.0,55,,49.0,8.0,99681.0,196.863,speed,67.0,American,toro_rosso,Italian,2006,16,Chinese Grand Prix,50400000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+1 Lap,0.0,1.0,9.0,0.0,106222.0,105851.0,105851.0,41,23,"Cloudy, wet track that progressively dried up.Rainy during the last few laps.",0,0,0,1,1,Race circuit,Clockwise,5.451,56.0,305.066,105851.0,106222.0,105974.66666666669,23,0,16,0,0,0,0,0,0,0,0,1,2,2,1,4,0,1,1,0,0,58.0,72.0,78.0,73.0,72.0 +9.0,14,8,1.0,56,5956335.0,44.0,12.0,99907.0,196.418,webber,91.0,Australian,williams,British,2006,16,Chinese Grand Prix,50400000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,11.0,8.0,0.0,108560.0,106413.0,106413.0,48,30,"Cloudy, wet track that progressively dried up.Rainy during the last few laps.",0,0,0,1,1,Race circuit,Clockwise,5.451,56.0,305.066,106413.0,108560.0,107128.66666666669,30,0,16,0,0,0,0,0,2,0,0,1,2,0,1,1,0,0,0,0,2,58.0,72.0,78.0,73.0,72.0 +23.0,19,16,0.0,52,,42.0,19.0,101847.0,192.677,yamamoto,15.0,Japanese,super_aguri,Japanese,2006,16,Chinese Grand Prix,50400000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+4 Laps,0.0,0.0,11.0,0.0,115560.0,115560.0,115560.0,42,24,"Cloudy, wet track that progressively dried up.Rainy during the last few laps.",0,0,0,1,1,Race circuit,Clockwise,5.451,56.0,305.066,115560.0,115560.0,115560.0,24,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +1.0,5,1,10.0,53,5032413.0,14.0,1.0,92676.0,225.572,alonso,14.0,Spanish,renault,French,2006,17,Japanese Grand Prix,50400000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,6.0,195.0,1.0,7.0,90976.0,90357.0,90371.0,43,25,Fine,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,90357.0,90976.0,90568.0,25,0,17,12,6,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,8,12,0.0,52,,40.0,10.0,94071.0,222.227,barrichello,96.0,Brazilian,honda,Japanese,2006,17,Japanese Grand Prix,50400000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+1 Lap,0.0,78.0,4.0,1.0,91972.0,90598.0,91478.0,52,34,Fine,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,90598.0,91972.0,91349.33333333331,34,0,17,0,0,0,2,1,3,2,1,0,3,0,0,0,0,1,1,0,0,58.0,72.0,78.0,73.0,72.0 +12.0,7,4,5.0,53,5066514.0,35.0,5.0,93451.0,223.702,button,22.0,British,honda,Japanese,2006,17,Japanese Grand Prix,50400000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,1.0,78.0,4.0,1.0,90847.0,90268.0,90992.0,44,26,Fine,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,90268.0,90992.0,90702.33333333331,26,0,17,2,0,1,4,1,1,1,0,1,1,1,0,0,0,1,0,1,1,58.0,72.0,78.0,73.0,72.0 +15.0,18,13,0.0,52,,37.0,19.0,95099.0,219.825,doornbos,92.0,Dutch,red_bull,Austrian,2006,17,Japanese Grand Prix,50400000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+1 Lap,0.0,16.0,7.0,0.0,92402.0,92402.0,92402.0,43,25,Fine,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,92402.0,92402.0,92402.0,25,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +2.0,6,3,6.0,53,5056366.0,13.0,7.0,93564.0,223.432,fisichella,84.0,Italian,renault,French,2006,17,Japanese Grand Prix,50400000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,1.0,195.0,1.0,8.0,91696.0,90306.0,90599.0,51,33,Fine,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,90306.0,91696.0,90867.0,33,0,17,4,0,3,3,1,5,0,1,0,0,0,0,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +16.0,9,8,1.0,53,5108508.0,31.0,13.0,94525.0,221.16,heidfeld,43.0,German,bmw_sauber,German,2006,17,Japanese Grand Prix,50400000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,36.0,5.0,0.0,91811.0,90470.0,91513.0,47,29,Fine,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,90470.0,91811.0,91264.66666666669,29,0,17,1,0,1,1,0,0,4,3,0,1,0,1,1,1,1,0,2,0,58.0,72.0,78.0,73.0,72.0 +17.0,12,9,0.0,53,5109345.0,39.0,6.0,93509.0,223.563,kubica,88.0,Polish,bmw_sauber,German,2006,17,Japanese Grand Prix,50400000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,36.0,5.0,0.0,91204.0,91094.0,91094.0,40,22,Fine,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,91094.0,91204.0,91130.66666666669,22,0,5,1,0,1,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +20.0,15,14,0.0,52,,22.0,12.0,94131.0,222.086,liuzzi,29.0,Italian,toro_rosso,Italian,2006,17,Japanese Grand Prix,50400000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+1 Lap,0.0,1.0,9.0,0.0,91741.0,91943.0,91943.0,44,26,Fine,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,91741.0,91943.0,91875.66666666669,26,0,17,0,0,0,0,0,0,0,1,0,3,2,0,3,2,1,2,0,0,58.0,72.0,78.0,73.0,72.0 +6.0,1,2,8.0,53,5048564.0,37.0,3.0,93296.0,224.073,massa,19.0,Brazilian,ferrari,Italian,2006,17,Japanese Grand Prix,50400000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,1.0,186.0,2.0,8.0,90112.0,89830.0,89599.0,43,25,Fine,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,89599.0,90112.0,89847.0,25,0,17,5,2,2,2,3,0,1,0,3,0,0,0,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +18.0,21,16,0.0,51,,27.0,20.0,95260.0,219.454,monteiro,48.0,Portuguese,spyker_mf1,Dutch,2006,17,Japanese Grand Prix,50400000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+2 Laps,0.0,0.0,12.0,0.0,93709.0,93709.0,93709.0,48,30,Fine,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,93709.0,93709.0,93709.0,30,0,17,0,0,0,0,0,0,0,0,1,0,0,1,2,1,2,3,1,1,58.0,72.0,78.0,73.0,72.0 +3.0,11,5,4.0,53,5076009.0,24.0,4.0,93344.0,223.958,raikkonen,7.0,Finnish,mclaren,British,2006,17,Japanese Grand Prix,50400000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,105.0,3.0,0.0,92080.0,90827.0,90827.0,45,27,Fine,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,90827.0,92080.0,91244.66666666669,27,0,17,6,2,4,1,3,0,0,0,0,0,0,0,0,0,1,1,0,0,58.0,72.0,78.0,73.0,72.0 +7.0,3,7,2.0,53,5081282.0,2.0,8.0,93607.0,223.329,ralf_schumacher,56.0,German,toyota,Japanese,2006,17,Japanese Grand Prix,50400000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,35.0,6.0,0.0,90595.0,90299.0,89989.0,49,31,Fine,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,89989.0,90595.0,90294.33333333331,31,0,17,1,0,1,1,0,1,1,2,2,1,0,0,0,2,1,0,2,0,58.0,72.0,78.0,73.0,72.0 +4.0,13,11,0.0,52,,22.0,11.0,94120.0,222.112,rosa,82.0,Spanish,mclaren,British,2006,17,Japanese Grand Prix,50400000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+1 Lap,0.0,105.0,3.0,0.0,91581.0,91254.0,91254.0,53,35,Fine,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,91254.0,91581.0,91363.0,35,0,7,1,1,0,0,2,0,1,0,0,0,0,0,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +10.0,10,10,0.0,52,,33.0,15.0,94802.0,220.514,rosberg,6.0,German,williams,British,2006,17,Japanese Grand Prix,50400000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+1 Lap,0.0,11.0,8.0,0.0,90585.0,90321.0,91856.0,39,21,Fine,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,90321.0,91856.0,90920.66666666669,21,0,17,0,0,0,0,0,0,2,0,2,0,3,0,0,1,0,0,1,1,58.0,72.0,78.0,73.0,72.0 +22.0,20,15,0.0,52,,26.0,17.0,95082.0,219.864,sato,34.0,Japanese,super_aguri,Japanese,2006,17,Japanese Grand Prix,50400000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+1 Lap,0.0,0.0,11.0,0.0,93666.0,93666.0,93666.0,47,29,Fine,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,93666.0,93666.0,93666.0,29,0,17,0,0,0,0,0,0,0,0,0,0,0,1,1,3,1,2,3,2,58.0,72.0,78.0,73.0,72.0 +8.0,4,6,3.0,53,5079130.0,2.0,9.0,93866.0,222.713,trulli,75.0,Italian,toyota,Japanese,2006,17,Japanese Grand Prix,50400000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,35.0,6.0,0.0,90420.0,90204.0,90039.0,50,32,Fine,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,90039.0,90420.0,90221.0,32,0,17,0,0,0,1,0,1,2,0,3,1,1,1,0,0,0,1,1,0,58.0,72.0,78.0,73.0,72.0 +23.0,22,17,0.0,50,,22.0,21.0,95594.0,218.687,yamamoto,15.0,Japanese,super_aguri,Japanese,2006,17,Japanese Grand Prix,50400000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+3 Laps,0.0,0.0,11.0,0.0,93709.0,93709.0,93709.0,42,24,Fine,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,93709.0,93709.0,93709.0,24,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +19.0,17,14,0.0,70,,61.0,17.0,74591.0,207.966,albers,86.0,Dutch,spyker_mf1,Dutch,2006,18,Brazilian Grand Prix,50400000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,0.0,12.0,0.0,73138.0,73138.0,73138.0,45,27,Temperatures reaching up to 23 °C (73 °F)[1],0,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,73138.0,73138.0,73138.0,27,0,18,0,0,0,0,0,0,0,0,0,1,2,2,1,0,3,1,1,1,58.0,72.0,78.0,73.0,72.0 +1.0,4,2,8.0,71,5532409.0,70.0,3.0,72961.0,212.612,alonso,14.0,Spanish,renault,French,2006,18,Brazilian Grand Prix,50400000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,7.0,206.0,1.0,8.0,71791.0,71148.0,71567.0,43,25,Temperatures reaching up to 23 °C (73 °F)[1],0,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,71148.0,71791.0,71502.0,25,0,18,13,6,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,5,7,2.0,71,5554045.0,48.0,8.0,73391.0,211.366,barrichello,96.0,Brazilian,honda,Japanese,2006,18,Brazilian Grand Prix,50400000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,86.0,4.0,1.0,72017.0,71578.0,71619.0,52,34,Temperatures reaching up to 23 °C (73 °F)[1],0,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,71578.0,72017.0,71738.0,34,0,18,0,0,0,2,1,3,2,1,0,3,0,1,0,0,1,1,0,0,58.0,72.0,78.0,73.0,72.0 +12.0,14,3,6.0,71,5533145.0,71.0,4.0,73053.0,212.344,button,22.0,British,honda,Japanese,2006,18,Brazilian Grand Prix,50400000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,1.0,86.0,4.0,1.0,72085.0,71742.0,71742.0,44,26,Temperatures reaching up to 23 °C (73 °F)[1],0,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,71742.0,72085.0,71856.33333333333,26,0,18,2,0,1,5,1,1,1,0,1,1,1,0,0,0,1,0,1,1,58.0,72.0,78.0,73.0,72.0 +15.0,22,12,0.0,70,,62.0,11.0,73700.0,210.48,doornbos,92.0,Dutch,red_bull,Austrian,2006,18,Brazilian Grand Prix,50400000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,16.0,7.0,0.0,72530.0,72591.0,72591.0,43,25,Temperatures reaching up to 23 °C (73 °F)[1],0,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,72530.0,72591.0,72570.66666666667,25,0,3,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +2.0,6,6,3.0,71,5544038.0,70.0,5.0,73121.0,212.146,fisichella,84.0,Italian,renault,French,2006,18,Brazilian Grand Prix,50400000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,1.0,206.0,1.0,8.0,72042.0,71461.0,71629.0,51,33,Temperatures reaching up to 23 °C (73 °F)[1],0,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,71461.0,72042.0,71710.66666666667,33,0,18,5,0,4,3,1,5,0,1,0,0,0,0,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +17.0,9,9,0.0,71,5581393.0,25.0,14.0,74117.0,209.296,kubica,88.0,Polish,bmw_sauber,German,2006,18,Brazilian Grand Prix,50400000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,36.0,5.0,0.0,72040.0,71589.0,72131.0,40,22,Temperatures reaching up to 23 °C (73 °F)[1],0,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,71589.0,72131.0,71920.0,22,0,6,1,0,1,0,0,0,0,0,1,0,0,1,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +20.0,15,13,0.0,70,,69.0,10.0,73687.0,210.517,liuzzi,29.0,Italian,toro_rosso,Italian,2006,18,Brazilian Grand Prix,50400000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,1.0,9.0,0.0,72855.0,72861.0,72861.0,44,26,Temperatures reaching up to 23 °C (73 °F)[1],0,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,72855.0,72861.0,72859.0,26,0,18,0,0,0,0,0,0,0,1,0,3,2,0,3,3,1,2,0,0,58.0,72.0,78.0,73.0,72.0 +6.0,1,1,10.0,71,5513751.0,23.0,2.0,72877.0,212.857,massa,19.0,Brazilian,ferrari,Italian,2006,18,Brazilian Grand Prix,50400000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,1.0,201.0,2.0,9.0,70643.0,70775.0,70680.0,43,25,Temperatures reaching up to 23 °C (73 °F)[1],0,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,70643.0,70775.0,70699.33333333333,25,0,18,6,3,2,2,3,0,1,0,3,0,0,0,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +5.0,10,4,5.0,71,5537845.0,70.0,1.0,72162.0,214.966,michael_schumacher,60.0,German,ferrari,Italian,2006,18,Brazilian Grand Prix,50400000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,7.0,201.0,2.0,9.0,71565.0,70313.0,70313.0,55,37,Temperatures reaching up to 23 °C (73 °F)[1],0,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,70313.0,71565.0,70730.33333333333,37,0,18,12,4,1,0,1,1,0,1,0,0,0,0,0,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +18.0,21,15,0.0,69,,38.0,16.0,74410.0,208.471,monteiro,48.0,Portuguese,spyker_mf1,Dutch,2006,18,Brazilian Grand Prix,50400000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+2 Laps,0.0,0.0,12.0,0.0,73357.0,73357.0,73357.0,48,30,Temperatures reaching up to 23 °C (73 °F)[1],0,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,73357.0,73357.0,73357.0,30,0,18,0,0,0,0,0,0,0,0,1,0,0,1,2,1,2,4,1,1,58.0,72.0,78.0,73.0,72.0 +3.0,2,5,4.0,71,5542254.0,58.0,6.0,73281.0,211.683,raikkonen,7.0,Finnish,mclaren,British,2006,18,Brazilian Grand Prix,50400000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,110.0,3.0,0.0,72035.0,71386.0,71299.0,45,27,Temperatures reaching up to 23 °C (73 °F)[1],0,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,71299.0,72035.0,71573.33333333333,27,0,18,6,2,4,1,4,0,0,0,0,0,0,0,0,0,1,1,0,0,58.0,72.0,78.0,73.0,72.0 +4.0,12,8,1.0,71,5565819.0,63.0,12.0,73817.0,210.146,rosa,82.0,Spanish,mclaren,British,2006,18,Brazilian Grand Prix,50400000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,110.0,3.0,0.0,71825.0,71658.0,71658.0,53,35,Temperatures reaching up to 23 °C (73 °F)[1],0,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,71658.0,71825.0,71713.66666666667,35,0,8,1,1,0,0,2,0,1,0,0,0,1,0,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +22.0,19,10,0.0,70,,47.0,9.0,73401.0,211.337,sato,34.0,Japanese,super_aguri,Japanese,2006,18,Brazilian Grand Prix,50400000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,0.0,11.0,0.0,73269.0,73269.0,73269.0,47,29,Temperatures reaching up to 23 °C (73 °F)[1],0,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,73269.0,73269.0,73269.0,29,0,18,0,0,0,0,0,0,0,0,0,0,0,1,1,3,2,2,3,2,58.0,72.0,78.0,73.0,72.0 +21.0,16,11,0.0,70,,69.0,13.0,73862.0,210.018,speed,67.0,American,toro_rosso,Italian,2006,18,Brazilian Grand Prix,50400000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,1.0,9.0,0.0,72856.0,72856.0,72856.0,41,23,Temperatures reaching up to 23 °C (73 °F)[1],0,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,72856.0,72856.0,72856.0,23,0,18,0,0,0,0,0,0,0,0,1,2,2,1,4,1,1,1,0,1,58.0,72.0,78.0,73.0,72.0 +23.0,20,16,0.0,69,,67.0,7.0,73379.0,211.401,yamamoto,15.0,Japanese,super_aguri,Japanese,2006,18,Brazilian Grand Prix,50400000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+2 Laps,0.0,0.0,11.0,0.0,73357.0,73357.0,73357.0,42,24,Temperatures reaching up to 23 °C (73 °F)[1],0,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,73357.0,73357.0,73357.0,24,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,58.0,72.0,78.0,73.0,72.0 +1.0,2,2,8.0,58,5136012.0,20.0,2.0,86314.0,221.178,alonso,14.0,Spanish,mclaren,British,2007,1,Australian Grand Prix,10800000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,14.0,11.0,0.0,86697.0,85326.0,86493.0,43,26,Clear with temperatures reaching up to 21 °C (70 °F)[1],1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,85326.0,86697.0,86172.0,25,1,19,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,16,11,0.0,57,,17.0,14.0,88098.0,216.699,barrichello,96.0,Brazilian,honda,Japanese,2007,1,Australian Grand Prix,10800000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+1 Lap,0.0,0.0,6.0,0.0,87679.0,87679.0,87679.0,52,35,Clear with temperatures reaching up to 21 °C (70 °F)[1],1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,87679.0,87679.0,87679.0,34,1,19,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +7.0,14,15,0.0,57,,42.0,17.0,88387.0,215.991,button,22.0,British,honda,Japanese,2007,1,Australian Grand Prix,10800000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+1 Lap,0.0,0.0,6.0,0.0,87540.0,87264.0,87264.0,44,27,Clear with temperatures reaching up to 21 °C (70 °F)[1],1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,87264.0,87540.0,87356.0,26,1,19,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +23.0,11,16,0.0,56,,41.0,19.0,88489.0,215.742,davidson,87.0,British,super_aguri,Japanese,2007,1,Australian Grand Prix,10800000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+2 Laps,0.0,0.0,7.0,0.0,86986.0,86909.0,86909.0,45,28,Clear with temperatures reaching up to 21 °C (70 °F)[1],1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,86909.0,86986.0,86934.66666666667,28,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +3.0,6,5,4.0,58,5195239.0,18.0,7.0,86892.0,219.707,fisichella,84.0,Italian,renault,French,2007,1,Australian Grand Prix,10800000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,4.0,3.0,0.0,87270.0,85944.0,87634.0,51,34,Clear with temperatures reaching up to 21 °C (70 °F)[1],1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,85944.0,87634.0,86949.33333333333,33,1,19,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +2.0,4,3,6.0,58,5147365.0,20.0,3.0,86351.0,221.083,hamilton,44.0,British,mclaren,British,2007,1,Australian Grand Prix,10800000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,14.0,11.0,0.0,86674.0,85577.0,86755.0,39,22,Clear with temperatures reaching up to 21 °C (70 °F)[1],1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,85577.0,86755.0,86335.33333333333,22,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +9.0,3,4,5.0,58,5167533.0,37.0,6.0,86722.0,220.137,heidfeld,43.0,German,bmw_sauber,German,2007,1,Australian Grand Prix,10800000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,5.0,2.0,0.0,86895.0,85358.0,86556.0,47,30,Clear with temperatures reaching up to 21 °C (70 °F)[1],1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,85358.0,86895.0,86269.66666666667,29,1,19,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +4.0,13,10,0.0,57,,44.0,10.0,87592.0,217.951,kovalainen,52.0,Finnish,renault,French,2007,1,Australian Grand Prix,10800000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+1 Lap,0.0,4.0,3.0,0.0,87529.0,86964.0,86964.0,43,26,Clear with temperatures reaching up to 21 °C (70 °F)[1],1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,86964.0,87529.0,87152.33333333333,26,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +18.0,19,14,0.0,57,,44.0,15.0,88282.0,216.247,liuzzi,29.0,Italian,toro_rosso,Italian,2007,1,Australian Grand Prix,10800000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+1 Lap,0.0,0.0,9.0,0.0,89267.0,89267.0,89267.0,44,27,Clear with temperatures reaching up to 21 °C (70 °F)[1],1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,89267.0,89267.0,89267.0,26,1,19,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +5.0,22,6,3.0,58,5195575.0,28.0,8.0,87044.0,219.323,massa,19.0,Brazilian,ferrari,Italian,2007,1,Australian Grand Prix,10800000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,13.0,1.0,1.0,86712.0,86712.0,86712.0,43,26,Clear with temperatures reaching up to 21 °C (70 °F)[1],1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,86712.0,86712.0,86712.0,25,1,19,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +6.0,1,1,10.0,58,5128770.0,41.0,1.0,85235.0,223.978,raikkonen,7.0,Finnish,ferrari,Italian,2007,1,Australian Grand Prix,10800000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,13.0,1.0,1.0,86644.0,85644.0,86072.0,45,28,Clear with temperatures reaching up to 21 °C (70 °F)[1],1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,85644.0,86644.0,86120.0,27,1,19,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,9,8,1.0,57,,42.0,12.0,87796.0,217.444,ralf_schumacher,56.0,German,toyota,Japanese,2007,1,Australian Grand Prix,10800000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+1 Lap,0.0,1.0,5.0,0.0,87328.0,86739.0,88692.0,49,32,Clear with temperatures reaching up to 21 °C (70 °F)[1],1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,86739.0,88692.0,87586.33333333333,31,1,19,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +16.0,12,7,2.0,57,,40.0,5.0,86721.0,220.14,rosberg,6.0,German,williams,British,2007,1,Australian Grand Prix,10800000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+1 Lap,0.0,2.0,4.0,0.0,87596.0,86914.0,86914.0,39,22,Clear with temperatures reaching up to 21 °C (70 °F)[1],1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,86914.0,87596.0,87141.33333333333,21,1,19,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +22.0,10,12,0.0,57,,20.0,18.0,88487.0,215.746,sato,34.0,Japanese,super_aguri,Japanese,2007,1,Australian Grand Prix,10800000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+1 Lap,0.0,0.0,7.0,0.0,87365.0,86758.0,88871.0,47,30,Clear with temperatures reaching up to 21 °C (70 °F)[1],1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,86758.0,88871.0,87664.66666666667,29,1,19,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +20.0,20,17,0.0,56,,40.0,20.0,88687.0,215.26,sutil,99.0,German,spyker,Dutch,2007,1,Australian Grand Prix,10800000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+2 Laps,0.0,0.0,10.0,0.0,89339.0,89339.0,89339.0,41,24,Clear with temperatures reaching up to 21 °C (70 °F)[1],1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,89339.0,89339.0,89339.0,24,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +12.0,8,9,0.0,57,,45.0,13.0,88034.0,216.857,trulli,75.0,Italian,toyota,Japanese,2007,1,Australian Grand Prix,10800000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+1 Lap,0.0,1.0,5.0,0.0,87014.0,86688.0,88404.0,50,33,Clear with temperatures reaching up to 21 °C (70 °F)[1],1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,86688.0,88404.0,87368.66666666667,32,1,19,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +15.0,7,13,0.0,57,,21.0,9.0,87501.0,218.178,webber,91.0,Australian,red_bull,Austrian,2007,1,Australian Grand Prix,10800000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+1 Lap,0.0,0.0,8.0,0.0,86978.0,86623.0,87934.0,48,31,Clear with temperatures reaching up to 21 °C (70 °F)[1],1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,86623.0,87934.0,87178.33333333333,30,1,19,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +1.0,2,1,10.0,56,5534930.0,42.0,2.0,96861.0,206.014,alonso,14.0,Spanish,mclaren,British,2007,2,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,32.0,11.0,0.0,94942.0,94057.0,95310.0,43,26,Sunny[1],1,0,0,0,0,Race circuit,Clockwise,5.543,56.0,310.408,94057.0,95310.0,94769.66666666669,25,1,20,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,22,11,0.0,55,,32.0,15.0,98566.0,202.451,barrichello,96.0,Brazilian,honda,Japanese,2007,2,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+1 Lap,0.0,0.0,7.0,0.0,96827.0,96827.0,96827.0,52,35,Sunny[1],1,0,0,0,0,Race circuit,Clockwise,5.543,56.0,310.408,96827.0,96827.0,96827.0,34,1,20,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +7.0,15,12,0.0,55,,54.0,16.0,98658.0,202.262,button,22.0,British,honda,Japanese,2007,2,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+1 Lap,0.0,0.0,7.0,0.0,95913.0,96088.0,96088.0,44,27,Sunny[1],1,0,0,0,0,Race circuit,Clockwise,5.543,56.0,310.408,95913.0,96088.0,96029.66666666669,26,1,20,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +23.0,18,16,0.0,55,,32.0,20.0,99566.0,200.417,davidson,87.0,British,super_aguri,Japanese,2007,2,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+1 Lap,0.0,0.0,8.0,0.0,96816.0,96816.0,96816.0,45,28,Sunny[1],1,0,0,0,0,Race circuit,Clockwise,5.543,56.0,310.408,96816.0,96816.0,96816.0,28,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +3.0,12,6,3.0,56,5600568.0,44.0,9.0,97879.0,203.872,fisichella,84.0,Italian,renault,French,2007,2,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,8.0,3.0,0.0,95879.0,95706.0,95706.0,51,34,Sunny[1],1,0,0,0,0,Race circuit,Clockwise,5.543,56.0,310.408,95706.0,95879.0,95763.66666666669,33,1,20,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +2.0,4,2,8.0,56,5552487.0,22.0,1.0,96701.0,206.355,hamilton,44.0,British,mclaren,British,2007,2,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,32.0,11.0,1.0,95028.0,94650.0,96045.0,39,22,Sunny[1],1,0,0,0,0,Race circuit,Clockwise,5.543,56.0,310.408,94650.0,96045.0,95241.0,22,0,2,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +9.0,5,4,5.0,56,5568707.0,55.0,5.0,97417.0,204.838,heidfeld,43.0,German,bmw_sauber,German,2007,2,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,10.0,2.0,0.0,95617.0,95203.0,96543.0,47,30,Sunny[1],1,0,0,0,0,Race circuit,Clockwise,5.543,56.0,310.408,95203.0,96543.0,95787.66666666669,29,1,20,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +4.0,11,8,1.0,56,5606945.0,41.0,7.0,97810.0,204.015,kovalainen,52.0,Finnish,renault,French,2007,2,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,8.0,3.0,0.0,96092.0,95630.0,95630.0,43,26,Sunny[1],1,0,0,0,0,Race circuit,Clockwise,5.543,56.0,310.408,95630.0,96092.0,95784.0,26,0,2,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +10.0,7,18,0.0,55,,53.0,17.0,98874.0,201.82,kubica,88.0,Polish,bmw_sauber,German,2007,2,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+1 Lap,0.0,10.0,2.0,0.0,95294.0,94739.0,96839.0,40,23,Sunny[1],1,0,0,0,0,Race circuit,Clockwise,5.543,56.0,310.408,94739.0,96839.0,95624.0,22,1,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +18.0,16,17,0.0,55,,21.0,12.0,98447.0,202.695,liuzzi,29.0,Italian,toro_rosso,Italian,2007,2,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+1 Lap,0.0,0.0,9.0,0.0,96140.0,96145.0,96145.0,44,27,Sunny[1],1,0,0,0,0,Race circuit,Clockwise,5.543,56.0,310.408,96140.0,96145.0,96143.33333333331,26,1,20,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +5.0,1,5,4.0,56,5571635.0,42.0,3.0,97199.0,205.298,massa,19.0,Brazilian,ferrari,Italian,2007,2,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,23.0,1.0,1.0,95340.0,94454.0,95043.0,43,26,Sunny[1],1,0,0,0,0,Race circuit,Clockwise,5.543,56.0,310.408,94454.0,95340.0,94945.66666666669,25,1,20,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +6.0,3,3,6.0,56,5553269.0,40.0,4.0,97228.0,205.237,raikkonen,7.0,Finnish,ferrari,Italian,2007,2,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,1.0,23.0,1.0,1.0,95138.0,94687.0,95479.0,45,28,Sunny[1],1,0,0,0,0,Race circuit,Clockwise,5.543,56.0,310.408,94687.0,95479.0,95101.33333333331,27,1,20,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,9,15,0.0,55,,52.0,19.0,99243.0,201.07,ralf_schumacher,56.0,German,toyota,Japanese,2007,2,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+1 Lap,0.0,3.0,4.0,0.0,95736.0,95595.0,97078.0,49,32,Sunny[1],1,0,0,0,0,Race circuit,Clockwise,5.543,56.0,310.408,95595.0,97078.0,96136.33333333331,31,1,20,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +22.0,14,13,0.0,55,,37.0,13.0,98496.0,202.595,sato,34.0,Japanese,super_aguri,Japanese,2007,2,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+1 Lap,0.0,0.0,8.0,0.0,96430.0,95945.0,95945.0,47,30,Sunny[1],1,0,0,0,0,Race circuit,Clockwise,5.543,56.0,310.408,95945.0,96430.0,96106.66666666669,29,1,20,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +19.0,17,14,0.0,55,,54.0,18.0,99098.0,201.364,speed,67.0,American,toro_rosso,Italian,2007,2,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+1 Lap,0.0,0.0,9.0,0.0,96578.0,96578.0,96578.0,41,24,Sunny[1],1,0,0,0,0,Race circuit,Clockwise,5.543,56.0,310.408,96578.0,96578.0,96578.0,23,1,20,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +12.0,8,7,2.0,56,5605062.0,40.0,10.0,98016.0,203.587,trulli,75.0,Italian,toyota,Japanese,2007,2,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,3.0,4.0,0.0,95666.0,95255.0,96902.0,50,33,Sunny[1],1,0,0,0,0,Race circuit,Clockwise,5.543,56.0,310.408,95255.0,96902.0,95941.0,32,1,20,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +15.0,10,10,0.0,56,5628486.0,55.0,14.0,98540.0,202.504,webber,91.0,Australian,red_bull,Austrian,2007,2,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,0.0,6.0,0.0,95727.0,95579.0,97345.0,48,31,Sunny[1],1,0,0,0,0,Race circuit,Clockwise,5.543,56.0,310.408,95579.0,97345.0,96217.0,30,1,20,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +17.0,19,9,0.0,56,5624854.0,19.0,8.0,97864.0,203.903,wurz,90.0,Austrian,williams,British,2007,2,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,2.0,5.0,0.0,97326.0,97326.0,97326.0,50,33,Sunny[1],1,0,0,0,0,Race circuit,Clockwise,5.543,56.0,310.408,97326.0,97326.0,97326.0,33,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +21.0,22,14,0.0,55,,40.0,20.0,97184.0,200.477,albers,86.0,Dutch,spyker,Dutch,2007,3,Bahrain Grand Prix,41400000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+2 Laps,0.0,0.0,10.0,0.0,95533.0,95533.0,95533.0,45,28,"Sunny, dry, windy",1,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,95533.0,95533.0,95533.0,27,1,21,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +1.0,4,5,4.0,57,5621941.0,46.0,4.0,94420.0,206.346,alonso,14.0,Spanish,mclaren,British,2007,3,Bahrain Grand Prix,41400000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,1.0,44.0,11.0,1.0,93049.0,92214.0,93192.0,43,26,"Sunny, dry, windy",1,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,92214.0,93192.0,92818.33333333331,25,1,21,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,15,13,0.0,56,,50.0,14.0,95842.0,203.284,barrichello,96.0,Brazilian,honda,Japanese,2007,3,Bahrain Grand Prix,41400000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,0.0,7.0,0.0,93776.0,93624.0,93624.0,52,35,"Sunny, dry, windy",1,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,93624.0,93776.0,93674.66666666669,34,1,21,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +3.0,7,8,1.0,57,5689216.0,51.0,8.0,95200.0,204.655,fisichella,84.0,Italian,renault,French,2007,3,Bahrain Grand Prix,41400000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,9.0,3.0,0.0,93556.0,92889.0,94056.0,51,34,"Sunny, dry, windy",1,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,92889.0,94056.0,93500.33333333331,33,1,21,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +2.0,2,2,8.0,57,5609875.0,18.0,2.0,94270.0,206.674,hamilton,44.0,British,mclaren,British,2007,3,Bahrain Grand Prix,41400000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,44.0,11.0,1.0,92580.0,91752.0,92935.0,39,22,"Sunny, dry, windy",1,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,91752.0,92935.0,92422.33333333331,22,0,3,2,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +9.0,5,4,5.0,57,5621346.0,38.0,5.0,94470.0,206.236,heidfeld,43.0,German,bmw_sauber,German,2007,3,Bahrain Grand Prix,41400000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,18.0,2.0,0.0,93164.0,92154.0,93404.0,47,30,"Sunny, dry, windy",1,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,92154.0,93404.0,92907.33333333331,29,1,21,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +4.0,12,9,0.0,57,5696926.0,27.0,10.0,95475.0,204.065,kovalainen,52.0,Finnish,renault,French,2007,3,Bahrain Grand Prix,41400000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,9.0,3.0,0.0,93467.0,92935.0,92935.0,43,26,"Sunny, dry, windy",1,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,92935.0,93467.0,93112.33333333331,26,0,3,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +10.0,6,6,3.0,57,5653044.0,46.0,6.0,94819.0,205.477,kubica,88.0,Polish,bmw_sauber,German,2007,3,Bahrain Grand Prix,41400000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,18.0,2.0,0.0,93348.0,92292.0,93710.0,40,23,"Sunny, dry, windy",1,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,92292.0,93710.0,93116.66666666669,22,1,9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +5.0,1,1,10.0,57,5607515.0,42.0,1.0,94067.0,207.12,massa,19.0,Brazilian,ferrari,Italian,2007,3,Bahrain Grand Prix,41400000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,39.0,1.0,2.0,92443.0,91359.0,92652.0,43,26,"Sunny, dry, windy",1,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,91359.0,92652.0,92151.33333333331,25,1,21,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +6.0,3,3,6.0,57,5618354.0,39.0,3.0,94357.0,206.483,raikkonen,7.0,Finnish,ferrari,Italian,2007,3,Bahrain Grand Prix,41400000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,1.0,39.0,1.0,2.0,93161.0,91812.0,93131.0,45,28,"Sunny, dry, windy",1,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,91812.0,93161.0,92701.33333333331,27,1,21,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,14,12,0.0,56,,37.0,15.0,95845.0,203.278,ralf_schumacher,56.0,German,toyota,Japanese,2007,3,Bahrain Grand Prix,41400000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,5.0,4.0,0.0,93923.0,93294.0,93294.0,49,32,"Sunny, dry, windy",1,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,93294.0,93923.0,93503.66666666669,31,1,21,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +16.0,10,10,0.0,57,5697431.0,51.0,11.0,95556.0,203.893,rosberg,6.0,German,williams,British,2007,3,Bahrain Grand Prix,41400000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,2.0,5.0,0.0,93349.0,92815.0,94399.0,39,22,"Sunny, dry, windy",1,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,92815.0,94399.0,93521.0,21,1,21,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +20.0,20,15,0.0,53,,45.0,19.0,96772.0,201.33,sutil,99.0,German,spyker,Dutch,2007,3,Bahrain Grand Prix,41400000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+4 Laps,0.0,0.0,10.0,0.0,95280.0,95280.0,95280.0,41,24,"Sunny, dry, windy",1,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,95280.0,95280.0,95280.0,24,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +12.0,9,7,2.0,57,5688886.0,40.0,7.0,95153.0,204.756,trulli,75.0,Italian,toyota,Japanese,2007,3,Bahrain Grand Prix,41400000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,5.0,4.0,0.0,93218.0,92429.0,94154.0,50,33,"Sunny, dry, windy",1,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,92429.0,94154.0,93267.0,32,1,21,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +17.0,11,11,0.0,56,,27.0,16.0,95992.0,202.966,wurz,90.0,Austrian,williams,British,2007,3,Bahrain Grand Prix,41400000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,2.0,5.0,0.0,93759.0,92915.0,92915.0,50,33,"Sunny, dry, windy",1,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,92915.0,93759.0,93196.33333333331,33,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +21.0,21,14,0.0,63,,61.0,18.0,85260.0,196.551,albers,86.0,Dutch,spyker,Dutch,2007,4,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+2 Laps,0.0,0.0,9.0,0.0,83990.0,83990.0,83990.0,45,28,Sunny and warm,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,83990.0,83990.0,83990.0,27,1,22,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +1.0,2,3,6.0,65,5513686.0,17.0,3.0,82966.0,201.986,alonso,14.0,Spanish,mclaren,British,2007,4,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,1.0,58.0,11.0,1.0,81609.0,80797.0,81451.0,43,26,Sunny and warm,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,80797.0,81609.0,81285.66666666667,25,1,22,2,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,12,10,0.0,64,,16.0,14.0,84287.0,198.82,barrichello,96.0,Brazilian,honda,Japanese,2007,4,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,0.0,8.0,0.0,82502.0,82097.0,82097.0,52,35,Sunny and warm,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,82097.0,82502.0,82232.0,34,1,22,0,0,0,0,0,0,0,0,0,0,2,0,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +7.0,14,12,0.0,64,,64.0,13.0,84186.0,199.059,button,22.0,British,honda,Japanese,2007,4,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,0.0,8.0,0.0,82503.0,82120.0,82120.0,44,27,Sunny and warm,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,82120.0,82503.0,82247.66666666667,26,1,22,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +14.0,9,5,4.0,65,5554561.0,18.0,8.0,83524.0,200.636,coulthard,68.0,British,red_bull,Austrian,2007,4,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,4.0,6.0,0.0,82491.0,81488.0,82749.0,53,36,Sunny and warm,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,81488.0,82749.0,82242.66666666667,35,1,22,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +23.0,15,11,0.0,64,,59.0,15.0,84291.0,198.811,davidson,87.0,British,super_aguri,Japanese,2007,4,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,1.0,7.0,0.0,82295.0,82295.0,82295.0,45,28,Sunny and warm,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,82295.0,82295.0,82295.0,28,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,58.0,72.0,78.0,73.0,72.0 +3.0,10,9,0.0,64,,57.0,9.0,83560.0,200.55,fisichella,84.0,Italian,renault,French,2007,4,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,11.0,3.0,0.0,82064.0,81677.0,82881.0,51,34,Sunny and warm,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,81677.0,82881.0,82207.33333333333,33,1,22,0,0,0,0,1,1,0,1,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +2.0,4,2,8.0,65,5503020.0,20.0,2.0,82876.0,202.205,hamilton,44.0,British,mclaren,British,2007,4,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,58.0,11.0,1.0,81120.0,80713.0,81785.0,39,22,Sunny and warm,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,80713.0,81785.0,81206.0,22,0,4,3,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +4.0,8,7,2.0,65,5558358.0,32.0,4.0,82980.0,201.952,kovalainen,52.0,Finnish,renault,French,2007,4,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,11.0,3.0,0.0,81790.0,81623.0,82568.0,43,26,Sunny and warm,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,81623.0,82568.0,81993.66666666667,26,0,4,0,0,0,0,0,0,0,1,1,1,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +10.0,5,4,5.0,65,5527845.0,20.0,5.0,83129.0,201.59,kubica,88.0,Polish,bmw_sauber,German,2007,4,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,23.0,2.0,0.0,81941.0,81381.0,82253.0,40,23,Sunny and warm,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,81381.0,82253.0,81858.33333333333,22,1,10,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +5.0,1,1,10.0,65,5496230.0,14.0,1.0,82680.0,202.685,massa,19.0,Brazilian,ferrari,Italian,2007,4,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,1.0,49.0,1.0,3.0,81375.0,80597.0,81421.0,43,26,Sunny and warm,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,80597.0,81421.0,81131.0,25,1,22,1,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +16.0,11,6,3.0,65,5555768.0,60.0,10.0,83693.0,200.231,rosberg,6.0,German,williams,British,2007,4,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,5.0,4.0,0.0,81943.0,81968.0,81968.0,39,22,Sunny and warm,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,81943.0,81968.0,81959.66666666667,21,1,22,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +22.0,13,8,1.0,64,,23.0,12.0,84110.0,199.239,sato,34.0,Japanese,super_aguri,Japanese,2007,4,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,1.0,7.0,0.0,82090.0,82115.0,82115.0,47,30,Sunny and warm,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,82090.0,82115.0,82106.66666666667,29,1,22,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +20.0,20,13,0.0,63,,57.0,16.0,85191.0,196.71,sutil,99.0,German,spyker,Dutch,2007,4,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+2 Laps,0.0,0.0,9.0,0.0,83811.0,83811.0,83811.0,41,24,Sunny and warm,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,83811.0,83811.0,83811.0,24,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,58.0,72.0,78.0,73.0,72.0 +1.0,1,1,10.0,78,6029329.0,44.0,1.0,75284.0,159.715,alonso,14.0,Spanish,mclaren,British,2007,5,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,1.0,76.0,11.0,1.0,76059.0,75431.0,75726.0,43,26,"Cloudy, air temp 24–27 °C (75–81 °F), track temp 33–42 °C (91–108 °F)",0,0,0,0,1,Street circuit,Clockwise,3.337,78.0,260.286,75431.0,76059.0,75738.66666666667,25,1,23,3,1,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,9,10,0.0,77,,69.0,13.0,77080.0,155.993,barrichello,96.0,Brazilian,honda,Japanese,2007,5,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,0.0,9.0,0.0,77244.0,76454.0,77498.0,52,35,"Cloudy, air temp 24–27 °C (75–81 °F), track temp 33–42 °C (91–108 °F)",0,0,0,0,1,Street circuit,Clockwise,3.337,78.0,260.286,76454.0,77498.0,77065.33333333333,34,1,23,0,0,0,0,0,0,0,0,0,1,2,0,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +7.0,10,11,0.0,77,,40.0,9.0,76802.0,156.558,button,22.0,British,honda,Japanese,2007,5,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,0.0,9.0,0.0,77297.0,76457.0,77939.0,44,27,"Cloudy, air temp 24–27 °C (75–81 °F), track temp 33–42 °C (91–108 °F)",0,0,0,0,1,Street circuit,Clockwise,3.337,78.0,260.286,76457.0,77939.0,77231.0,26,1,23,0,0,0,0,0,0,0,0,0,0,0,2,0,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +14.0,13,14,0.0,76,,75.0,8.0,76786.0,156.591,coulthard,68.0,British,red_bull,Austrian,2007,5,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+2 Laps,0.0,4.0,6.0,0.0,77204.0,76319.0,76319.0,53,36,"Cloudy, air temp 24–27 °C (75–81 °F), track temp 33–42 °C (91–108 °F)",0,0,0,0,1,Street circuit,Clockwise,3.337,78.0,260.286,76319.0,77204.0,76614.0,35,1,23,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +23.0,17,18,0.0,76,,63.0,16.0,77223.0,155.704,davidson,87.0,British,super_aguri,Japanese,2007,5,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+2 Laps,0.0,1.0,7.0,0.0,78250.0,78250.0,78250.0,45,28,"Cloudy, air temp 24–27 °C (75–81 °F), track temp 33–42 °C (91–108 °F)",0,0,0,0,1,Street circuit,Clockwise,3.337,78.0,260.286,78250.0,78250.0,78250.0,28,0,5,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,3,0,0,58.0,72.0,78.0,73.0,72.0 +3.0,4,4,5.0,77,,54.0,5.0,76254.0,157.683,fisichella,84.0,Italian,renault,French,2007,5,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,16.0,3.0,0.0,77596.0,76054.0,76285.0,51,34,"Cloudy, air temp 24–27 °C (75–81 °F), track temp 33–42 °C (91–108 °F)",0,0,0,0,1,Street circuit,Clockwise,3.337,78.0,260.286,76054.0,77596.0,76645.0,33,1,23,0,0,0,0,1,1,0,1,1,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +2.0,2,2,8.0,78,6033424.0,28.0,2.0,75372.0,159.528,hamilton,44.0,British,mclaren,British,2007,5,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,76.0,11.0,2.0,75685.0,75479.0,75905.0,39,22,"Cloudy, air temp 24–27 °C (75–81 °F), track temp 33–42 °C (91–108 °F)",0,0,0,0,1,Street circuit,Clockwise,3.337,78.0,260.286,75479.0,75905.0,75689.66666666667,22,0,5,4,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +9.0,7,6,3.0,77,,30.0,12.0,77041.0,156.072,heidfeld,43.0,German,bmw_sauber,German,2007,5,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,30.0,2.0,0.0,77385.0,75733.0,76832.0,47,30,"Cloudy, air temp 24–27 °C (75–81 °F), track temp 33–42 °C (91–108 °F)",0,0,0,0,1,Street circuit,Clockwise,3.337,78.0,260.286,75733.0,77385.0,76650.0,29,1,23,0,0,0,3,0,0,0,0,0,0,0,0,0,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +10.0,8,5,4.0,77,,39.0,3.0,76006.0,158.198,kubica,88.0,Polish,bmw_sauber,German,2007,5,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,30.0,2.0,0.0,77584.0,75576.0,76955.0,40,23,"Cloudy, air temp 24–27 °C (75–81 °F), track temp 33–42 °C (91–108 °F)",0,0,0,0,1,Street circuit,Clockwise,3.337,78.0,260.286,75576.0,77584.0,76705.0,22,1,11,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +5.0,3,3,6.0,78,6098443.0,47.0,4.0,76183.0,157.83,massa,19.0,Brazilian,ferrari,Italian,2007,5,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,2.0,56.0,1.0,3.0,76786.0,76034.0,75967.0,43,26,"Cloudy, air temp 24–27 °C (75–81 °F), track temp 33–42 °C (91–108 °F)",0,0,0,0,1,Street circuit,Clockwise,3.337,78.0,260.286,75967.0,76786.0,76262.33333333333,25,1,23,2,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +6.0,16,8,1.0,77,,62.0,6.0,76592.0,156.987,raikkonen,7.0,Finnish,ferrari,Italian,2007,5,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,1.0,56.0,1.0,3.0,76251.0,76251.0,76251.0,45,28,"Cloudy, air temp 24–27 °C (75–81 °F), track temp 33–42 °C (91–108 °F)",0,0,0,0,1,Street circuit,Clockwise,3.337,78.0,260.286,76251.0,76251.0,76251.0,27,1,23,3,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,20,16,0.0,76,,47.0,17.0,77231.0,155.688,ralf_schumacher,56.0,German,toyota,Japanese,2007,5,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+2 Laps,0.0,5.0,5.0,0.0,78539.0,78539.0,78539.0,49,32,"Cloudy, air temp 24–27 °C (75–81 °F), track temp 33–42 °C (91–108 °F)",0,0,0,0,1,Street circuit,Clockwise,3.337,78.0,260.286,78539.0,78539.0,78539.0,31,1,23,0,0,0,0,0,0,0,1,0,0,0,1,0,0,1,1,0,0,58.0,72.0,78.0,73.0,72.0 +16.0,5,12,0.0,77,,70.0,11.0,76991.0,156.174,rosberg,6.0,German,williams,British,2007,5,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,7.0,4.0,0.0,76870.0,76100.0,76439.0,39,22,"Cloudy, air temp 24–27 °C (75–81 °F), track temp 33–42 °C (91–108 °F)",0,0,0,0,1,Street circuit,Clockwise,3.337,78.0,260.286,76100.0,76870.0,76469.66666666667,21,1,23,0,0,0,0,0,1,1,0,0,1,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +22.0,21,17,0.0,76,,74.0,15.0,77183.0,155.785,sato,34.0,Japanese,super_aguri,Japanese,2007,5,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+2 Laps,0.0,1.0,7.0,0.0,78554.0,78554.0,78554.0,47,30,"Cloudy, air temp 24–27 °C (75–81 °F), track temp 33–42 °C (91–108 °F)",0,0,0,0,1,Street circuit,Clockwise,3.337,78.0,260.286,78554.0,78554.0,78554.0,29,1,23,0,0,0,0,0,0,0,1,0,0,0,1,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +19.0,18,9,0.0,77,,73.0,10.0,76867.0,156.426,speed,67.0,American,toro_rosso,Italian,2007,5,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,0.0,8.0,0.0,78390.0,78390.0,78390.0,41,24,"Cloudy, air temp 24–27 °C (75–81 °F), track temp 33–42 °C (91–108 °F)",0,0,0,0,1,Street circuit,Clockwise,3.337,78.0,260.286,78390.0,78390.0,78390.0,23,1,23,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +12.0,14,15,0.0,76,,53.0,18.0,77495.0,155.158,trulli,75.0,Italian,toyota,Japanese,2007,5,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+2 Laps,0.0,5.0,5.0,0.0,77686.0,76988.0,76988.0,50,33,"Cloudy, air temp 24–27 °C (75–81 °F), track temp 33–42 °C (91–108 °F)",0,0,0,0,1,Street circuit,Clockwise,3.337,78.0,260.286,76988.0,77686.0,77220.66666666667,32,1,23,0,0,0,0,0,0,2,0,1,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +17.0,11,7,2.0,77,,40.0,7.0,76658.0,156.852,wurz,90.0,Austrian,williams,British,2007,5,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,7.0,4.0,0.0,77874.0,76662.0,76662.0,50,33,"Cloudy, air temp 24–27 °C (75–81 °F), track temp 33–42 °C (91–108 °F)",0,0,0,0,1,Street circuit,Clockwise,3.337,78.0,260.286,76662.0,77874.0,77066.0,33,0,5,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +1.0,2,7,2.0,70,6273228.0,46.0,1.0,76367.0,205.58,alonso,14.0,Spanish,mclaren,British,2007,6,Canadian Grand Prix,61200000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,2.0,88.0,11.0,2.0,76562.0,75522.0,76163.0,43,26,Warm with temperatures approaching 26 °C (79 °F); wind speeds up to 5.8 kilometres per hour (3.6 mph)[1],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,75522.0,76562.0,76082.33333333333,25,1,24,4,1,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,13,12,0.0,70,6281731.0,62.0,14.0,78543.0,199.885,barrichello,96.0,Brazilian,honda,Japanese,2007,6,Canadian Grand Prix,61200000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,0.0,9.0,0.0,77011.0,77116.0,77116.0,52,35,Warm with temperatures approaching 26 °C (79 °F); wind speeds up to 5.8 kilometres per hour (3.6 mph)[1],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,77011.0,77116.0,77081.0,34,1,24,0,0,0,0,0,0,0,0,0,2,2,0,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +23.0,17,11,0.0,70,6275610.0,36.0,15.0,78780.0,199.284,davidson,87.0,British,super_aguri,Japanese,2007,6,Canadian Grand Prix,61200000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,4.0,7.0,0.0,77542.0,77542.0,77542.0,45,28,Warm with temperatures approaching 26 °C (79 °F); wind speeds up to 5.8 kilometres per hour (3.6 mph)[1],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,77542.0,77542.0,77542.0,28,0,6,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,3,0,1,58.0,72.0,78.0,73.0,72.0 +2.0,1,1,10.0,70,6251292.0,37.0,2.0,76494.0,205.239,hamilton,44.0,British,mclaren,British,2007,6,Canadian Grand Prix,61200000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,88.0,11.0,3.0,76576.0,75486.0,75707.0,39,22,Warm with temperatures approaching 26 °C (79 °F); wind speeds up to 5.8 kilometres per hour (3.6 mph)[1],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,75486.0,76576.0,75923.0,22,0,6,5,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +9.0,3,2,8.0,70,6255635.0,19.0,3.0,76696.0,204.699,heidfeld,43.0,German,bmw_sauber,German,2007,6,Canadian Grand Prix,61200000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,38.0,2.0,0.0,77006.0,75960.0,76266.0,47,30,Warm with temperatures approaching 26 °C (79 °F); wind speeds up to 5.8 kilometres per hour (3.6 mph)[1],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,75960.0,77006.0,76410.66666666667,29,1,24,0,0,0,3,0,1,0,0,0,0,0,0,0,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +4.0,22,4,5.0,70,6258021.0,67.0,13.0,78368.0,200.331,kovalainen,52.0,Finnish,renault,French,2007,6,Canadian Grand Prix,61200000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,21.0,3.0,0.0,77806.0,77806.0,77806.0,43,26,Warm with temperatures approaching 26 °C (79 °F); wind speeds up to 5.8 kilometres per hour (3.6 mph)[1],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,77806.0,77806.0,77806.0,26,0,6,0,0,0,0,0,0,1,1,1,1,0,0,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +6.0,4,5,4.0,70,6264299.0,21.0,5.0,76861.0,204.259,raikkonen,7.0,Finnish,ferrari,Italian,2007,6,Canadian Grand Prix,61200000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,1.0,60.0,1.0,3.0,76468.0,76592.0,76411.0,45,28,Warm with temperatures approaching 26 °C (79 °F); wind speeds up to 5.8 kilometres per hour (3.6 mph)[1],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,76411.0,76592.0,76490.33333333333,27,1,24,3,0,2,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,18,8,1.0,70,6274180.0,38.0,10.0,77910.0,201.509,ralf_schumacher,56.0,German,toyota,Japanese,2007,6,Canadian Grand Prix,61200000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,6.0,5.0,0.0,77634.0,77634.0,77634.0,49,32,Warm with temperatures approaching 26 °C (79 °F); wind speeds up to 5.8 kilometres per hour (3.6 mph)[1],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,77634.0,77634.0,77634.0,31,1,24,0,0,0,0,0,0,0,1,0,0,0,1,0,0,1,2,0,0,58.0,72.0,78.0,73.0,72.0 +16.0,7,10,0.0,70,6275276.0,42.0,6.0,77156.0,203.478,rosberg,6.0,German,williams,British,2007,6,Canadian Grand Prix,61200000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,13.0,4.0,0.0,77016.0,76190.0,76919.0,39,22,Warm with temperatures approaching 26 °C (79 °F); wind speeds up to 5.8 kilometres per hour (3.6 mph)[1],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,76190.0,77016.0,76708.33333333333,21,1,24,0,0,0,0,0,1,1,0,0,1,0,1,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +22.0,11,6,3.0,70,6267990.0,47.0,12.0,78035.0,201.186,sato,34.0,Japanese,super_aguri,Japanese,2007,6,Canadian Grand Prix,61200000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,4.0,7.0,0.0,77490.0,76743.0,76743.0,47,30,Warm with temperatures approaching 26 °C (79 °F); wind speeds up to 5.8 kilometres per hour (3.6 mph)[1],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,76743.0,77490.0,76992.0,29,1,24,0,0,0,0,0,0,0,1,0,0,0,1,1,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +15.0,6,9,0.0,70,6274252.0,47.0,9.0,77618.0,202.267,webber,91.0,Australian,red_bull,Austrian,2007,6,Canadian Grand Prix,61200000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,4.0,6.0,0.0,77315.0,76257.0,76913.0,48,31,Warm with temperatures approaching 26 °C (79 °F); wind speeds up to 5.8 kilometres per hour (3.6 mph)[1],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,76257.0,77315.0,76828.33333333333,30,1,24,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +17.0,19,3,6.0,70,6256617.0,67.0,11.0,77947.0,201.413,wurz,90.0,Austrian,williams,British,2007,6,Canadian Grand Prix,61200000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,13.0,4.0,0.0,78089.0,78089.0,78089.0,50,33,Warm with temperatures approaching 26 °C (79 °F); wind speeds up to 5.8 kilometres per hour (3.6 mph)[1],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,78089.0,78089.0,78089.0,33,0,6,0,0,0,0,0,0,1,0,1,0,1,0,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +21.0,22,15,0.0,70,,65.0,18.0,75902.0,198.824,albers,86.0,Dutch,spyker,Dutch,2007,7,United States Grand Prix,61200000.0,indianapolis,Indianapolis,USA,39.795,-86.2347,223.0,+3 Laps,0.0,0.0,10.0,0.0,74597.0,74597.0,74597.0,45,28,Warm (33C/91F) and clear,1,0,0,0,0,Race circuit,Clockwise,4.192,73.0,306.041,74597.0,74597.0,74597.0,27,1,25,0,0,0,0,0,0,0,0,0,0,0,0,0,2,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +1.0,2,2,8.0,73,5471465.0,21.0,3.0,73257.0,206.003,alonso,14.0,Spanish,mclaren,British,2007,7,United States Grand Prix,61200000.0,indianapolis,Indianapolis,USA,39.795,-86.2347,223.0,Finished,2.0,106.0,11.0,3.0,72416.0,71926.0,72500.0,43,26,Warm (33C/91F) and clear,1,0,0,0,0,Race circuit,Clockwise,4.192,73.0,306.041,71926.0,72500.0,72280.66666666667,25,1,25,4,1,1,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +7.0,13,12,0.0,72,,42.0,14.0,74703.0,202.015,button,22.0,British,honda,Japanese,2007,7,United States Grand Prix,61200000.0,indianapolis,Indianapolis,USA,39.795,-86.2347,223.0,+1 Lap,0.0,0.0,9.0,0.0,73306.0,72998.0,72998.0,44,27,Warm (33C/91F) and clear,1,0,0,0,0,Race circuit,Clockwise,4.192,73.0,306.041,72998.0,73306.0,73100.66666666667,26,1,25,0,0,0,0,0,0,0,0,0,0,1,2,0,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +23.0,16,11,0.0,72,,55.0,12.0,74066.0,203.753,davidson,87.0,British,super_aguri,Japanese,2007,7,United States Grand Prix,61200000.0,indianapolis,Indianapolis,USA,39.795,-86.2347,223.0,+1 Lap,0.0,4.0,7.0,0.0,73164.0,73259.0,73259.0,45,28,Warm (33C/91F) and clear,1,0,0,0,0,Race circuit,Clockwise,4.192,73.0,306.041,73164.0,73259.0,73227.33333333333,28,0,7,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,3,0,1,58.0,72.0,78.0,73.0,72.0 +3.0,10,9,0.0,72,,67.0,9.0,74009.0,203.91,fisichella,84.0,Italian,renault,French,2007,7,United States Grand Prix,61200000.0,indianapolis,Indianapolis,USA,39.795,-86.2347,223.0,+1 Lap,0.0,25.0,3.0,0.0,73168.0,72603.0,73953.0,51,34,Warm (33C/91F) and clear,1,0,0,0,0,Race circuit,Clockwise,4.192,73.0,306.041,72603.0,73953.0,73241.33333333333,33,1,25,0,0,0,1,1,1,0,1,1,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +2.0,1,1,10.0,73,5469965.0,20.0,2.0,73222.0,206.101,hamilton,44.0,British,mclaren,British,2007,7,United States Grand Prix,61200000.0,indianapolis,Indianapolis,USA,39.795,-86.2347,223.0,Finished,1.0,106.0,11.0,4.0,72563.0,72065.0,72331.0,39,22,Warm (33C/91F) and clear,1,0,0,0,0,Race circuit,Clockwise,4.192,73.0,306.041,72065.0,72563.0,72319.66666666667,22,0,7,6,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +4.0,6,5,4.0,73,5511365.0,67.0,7.0,73998.0,203.94,kovalainen,52.0,Finnish,renault,French,2007,7,United States Grand Prix,61200000.0,indianapolis,Indianapolis,USA,39.795,-86.2347,223.0,Finished,0.0,25.0,3.0,0.0,72998.0,72599.0,73308.0,43,26,Warm (33C/91F) and clear,1,0,0,0,0,Race circuit,Clockwise,4.192,73.0,306.041,72599.0,73308.0,72968.33333333333,26,0,7,0,0,0,1,0,0,1,1,1,1,0,0,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +5.0,3,3,6.0,73,5482765.0,50.0,4.0,73380.0,205.658,massa,19.0,Brazilian,ferrari,Italian,2007,7,United States Grand Prix,61200000.0,indianapolis,Indianapolis,USA,39.795,-86.2347,223.0,Finished,2.0,71.0,1.0,3.0,72731.0,72180.0,72703.0,43,26,Warm (33C/91F) and clear,1,0,0,0,0,Race circuit,Clockwise,4.192,73.0,306.041,72180.0,72731.0,72538.0,25,1,25,3,0,1,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +6.0,4,4,5.0,73,5485365.0,49.0,1.0,73117.0,206.397,raikkonen,7.0,Finnish,ferrari,Italian,2007,7,United States Grand Prix,61200000.0,indianapolis,Indianapolis,USA,39.795,-86.2347,223.0,Finished,1.0,71.0,1.0,3.0,72732.0,72111.0,72839.0,45,28,Warm (33C/91F) and clear,1,0,0,0,0,Race circuit,Clockwise,4.192,73.0,306.041,72111.0,72839.0,72560.66666666667,27,1,25,3,0,2,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +19.0,20,13,0.0,71,,66.0,16.0,75092.0,200.969,speed,67.0,American,toro_rosso,Italian,2007,7,United States Grand Prix,61200000.0,indianapolis,Indianapolis,USA,39.795,-86.2347,223.0,+2 Laps,0.0,0.0,8.0,0.0,73712.0,73712.0,73712.0,41,24,Warm (33C/91F) and clear,1,0,0,0,0,Race circuit,Clockwise,4.192,73.0,306.041,73712.0,73712.0,73712.0,23,1,25,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +20.0,21,14,0.0,71,,49.0,15.0,74858.0,201.597,sutil,99.0,German,spyker,Dutch,2007,7,United States Grand Prix,61200000.0,indianapolis,Indianapolis,USA,39.795,-86.2347,223.0,+2 Laps,0.0,0.0,10.0,0.0,74122.0,74122.0,74122.0,41,24,Warm (33C/91F) and clear,1,0,0,0,0,Race circuit,Clockwise,4.192,73.0,306.041,74122.0,74122.0,74122.0,24,0,7,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,1,1,58.0,72.0,78.0,73.0,72.0 +12.0,8,6,3.0,73,5536665.0,30.0,10.0,74016.0,203.891,trulli,75.0,Italian,toyota,Japanese,2007,7,United States Grand Prix,61200000.0,indianapolis,Indianapolis,USA,39.795,-86.2347,223.0,Finished,0.0,9.0,5.0,0.0,73186.0,72828.0,73789.0,50,33,Warm (33C/91F) and clear,1,0,0,0,0,Race circuit,Clockwise,4.192,73.0,306.041,72828.0,73789.0,73267.66666666667,32,1,25,0,0,0,0,0,0,2,0,1,0,0,0,1,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +10.0,7,8,1.0,73,5537665.0,53.0,6.0,73862.0,204.316,vettel,5.0,German,bmw_sauber,German,2007,7,United States Grand Prix,61200000.0,indianapolis,Indianapolis,USA,39.795,-86.2347,223.0,Finished,0.0,39.0,2.0,0.0,72711.0,72644.0,73513.0,37,20,Warm (33C/91F) and clear,1,0,0,0,0,Race circuit,Clockwise,4.192,73.0,306.041,72644.0,73513.0,72956.0,20,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +15.0,9,7,2.0,73,5537265.0,57.0,8.0,74004.0,203.924,webber,91.0,Australian,red_bull,Austrian,2007,7,United States Grand Prix,61200000.0,indianapolis,Indianapolis,USA,39.795,-86.2347,223.0,Finished,0.0,6.0,6.0,0.0,73425.0,72788.0,73871.0,48,31,Warm (33C/91F) and clear,1,0,0,0,0,Race circuit,Clockwise,4.192,73.0,306.041,72788.0,73871.0,73361.33333333333,30,1,25,0,0,0,0,0,0,0,0,1,1,0,0,1,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +17.0,17,10,0.0,72,,41.0,13.0,74486.0,202.604,wurz,90.0,Austrian,williams,British,2007,7,United States Grand Prix,61200000.0,indianapolis,Indianapolis,USA,39.795,-86.2347,223.0,+1 Lap,0.0,13.0,4.0,0.0,73441.0,73441.0,73441.0,50,33,Warm (33C/91F) and clear,1,0,0,0,0,Race circuit,Clockwise,4.192,73.0,306.041,73441.0,73441.0,73441.0,33,0,7,1,0,1,0,0,0,1,0,1,0,1,0,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +1.0,10,7,2.0,70,5510716.0,36.0,3.0,76495.0,207.59,alonso,14.0,Spanish,mclaren,British,2007,8,French Grand Prix,43200000.0,magny_cours,Magny Cours,France,46.8642,3.16361,228.0,Finished,2.0,114.0,11.0,4.0,75322.0,75084.0,75084.0,43,26,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.411,72.0,306.0,75084.0,75322.0,75163.33333333333,25,1,26,5,2,1,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,13,11,0.0,69,,68.0,12.0,77220.0,205.641,barrichello,96.0,Brazilian,honda,Japanese,2007,8,French Grand Prix,43200000.0,magny_cours,Magny Cours,France,46.8642,3.16361,228.0,+1 Lap,0.0,1.0,8.0,0.0,76140.0,75761.0,75761.0,52,35,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.411,72.0,306.0,75761.0,76140.0,75887.33333333333,34,1,26,0,0,0,0,0,0,0,0,0,2,2,1,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +7.0,12,8,1.0,70,5513085.0,70.0,6.0,76770.0,206.846,button,22.0,British,honda,Japanese,2007,8,French Grand Prix,43200000.0,magny_cours,Magny Cours,France,46.8642,3.16361,228.0,Finished,0.0,1.0,8.0,0.0,76113.0,75584.0,75584.0,44,27,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.411,72.0,306.0,75584.0,76113.0,75760.33333333333,26,1,26,0,0,0,0,0,0,0,0,0,0,1,3,0,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +14.0,16,13,0.0,69,,68.0,15.0,77447.0,205.038,coulthard,68.0,British,red_bull,Austrian,2007,8,French Grand Prix,43200000.0,magny_cours,Magny Cours,France,46.8642,3.16361,228.0,+1 Lap,0.0,6.0,6.0,0.0,75915.0,75915.0,75915.0,53,36,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.411,72.0,306.0,75915.0,75915.0,75915.0,35,1,26,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,1,0,1,58.0,72.0,78.0,73.0,72.0 +3.0,5,6,3.0,70,5506140.0,70.0,5.0,76703.0,207.027,fisichella,84.0,Italian,renault,French,2007,8,French Grand Prix,43200000.0,magny_cours,Magny Cours,France,46.8642,3.16361,228.0,Finished,0.0,28.0,3.0,0.0,76047.0,75227.0,75674.0,51,34,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.411,72.0,306.0,75227.0,76047.0,75649.33333333333,33,1,26,0,0,0,1,1,1,0,1,2,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +2.0,2,3,6.0,70,5486353.0,39.0,4.0,76587.0,207.34,hamilton,44.0,British,mclaren,British,2007,8,French Grand Prix,43200000.0,magny_cours,Magny Cours,France,46.8642,3.16361,228.0,Finished,2.0,114.0,11.0,4.0,74805.0,74795.0,75104.0,39,22,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.411,72.0,306.0,74795.0,75104.0,74901.33333333333,22,0,8,7,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +9.0,7,5,4.0,70,5503001.0,70.0,7.0,76875.0,206.563,heidfeld,43.0,German,bmw_sauber,German,2007,8,French Grand Prix,43200000.0,magny_cours,Magny Cours,France,46.8642,3.16361,228.0,Finished,0.0,48.0,2.0,0.0,75783.0,75149.0,75900.0,47,30,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.411,72.0,306.0,75149.0,75900.0,75610.66666666667,29,1,26,1,1,0,3,0,1,0,0,0,0,0,0,0,0,1,0,0,1,58.0,72.0,78.0,73.0,72.0 +4.0,6,15,0.0,69,,69.0,11.0,77206.0,205.678,kovalainen,52.0,Finnish,renault,French,2007,8,French Grand Prix,43200000.0,magny_cours,Magny Cours,France,46.8642,3.16361,228.0,+1 Lap,0.0,28.0,3.0,0.0,75524.0,75272.0,75826.0,43,26,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.411,72.0,306.0,75272.0,75826.0,75540.66666666667,26,0,8,0,0,0,1,1,0,1,1,1,1,0,0,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +10.0,4,4,5.0,70,5495927.0,44.0,10.0,77153.0,205.819,kubica,88.0,Polish,bmw_sauber,German,2007,8,French Grand Prix,43200000.0,magny_cours,Magny Cours,France,46.8642,3.16361,228.0,Finished,0.0,48.0,2.0,0.0,75778.0,75066.0,75493.0,40,23,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.411,72.0,306.0,75066.0,75778.0,75445.66666666667,22,1,13,0,0,0,1,1,1,0,0,0,0,0,0,0,0,0,0,1,1,58.0,72.0,78.0,73.0,72.0 +5.0,1,2,8.0,70,5456614.0,42.0,1.0,76099.0,208.67,massa,19.0,Brazilian,ferrari,Italian,2007,8,French Grand Prix,43200000.0,magny_cours,Magny Cours,France,46.8642,3.16361,228.0,Finished,2.0,89.0,1.0,4.0,75303.0,74822.0,75034.0,43,26,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.411,72.0,306.0,74822.0,75303.0,75053.0,25,1,26,4,0,2,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +6.0,3,1,10.0,70,5454200.0,20.0,2.0,76207.0,208.374,raikkonen,7.0,Finnish,ferrari,Italian,2007,8,French Grand Prix,43200000.0,magny_cours,Magny Cours,France,46.8642,3.16361,228.0,Finished,1.0,89.0,1.0,4.0,74872.0,74828.0,75257.0,45,28,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.411,72.0,306.0,74828.0,75257.0,74985.66666666667,27,1,26,3,0,2,1,1,0,0,1,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,11,10,0.0,69,,68.0,8.0,76966.0,206.319,ralf_schumacher,56.0,German,toyota,Japanese,2007,8,French Grand Prix,43200000.0,magny_cours,Magny Cours,France,46.8642,3.16361,228.0,+1 Lap,0.0,9.0,5.0,0.0,75760.0,75534.0,75534.0,49,32,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.411,72.0,306.0,75534.0,75760.0,75609.33333333333,31,1,26,0,0,0,0,0,0,0,2,0,0,0,1,0,0,1,2,0,0,58.0,72.0,78.0,73.0,72.0 +16.0,9,9,0.0,70,5522705.0,69.0,9.0,77011.0,206.199,rosberg,6.0,German,williams,British,2007,8,French Grand Prix,43200000.0,magny_cours,Magny Cours,France,46.8642,3.16361,228.0,Finished,0.0,13.0,4.0,0.0,76092.0,75331.0,76328.0,39,22,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.411,72.0,306.0,75331.0,76328.0,75917.0,21,1,26,0,0,0,0,0,1,1,0,0,2,0,1,0,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +22.0,22,16,0.0,68,,39.0,16.0,77796.0,204.118,sato,34.0,Japanese,super_aguri,Japanese,2007,8,French Grand Prix,43200000.0,magny_cours,Magny Cours,France,46.8642,3.16361,228.0,+2 Laps,0.0,4.0,7.0,0.0,76244.0,76244.0,76244.0,47,30,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.411,72.0,306.0,76244.0,76244.0,76244.0,29,1,26,0,0,0,0,0,1,0,1,0,0,0,1,1,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +20.0,21,17,0.0,68,,27.0,18.0,78091.0,203.347,sutil,99.0,German,spyker,Dutch,2007,8,French Grand Prix,43200000.0,magny_cours,Magny Cours,France,46.8642,3.16361,228.0,+2 Laps,0.0,0.0,10.0,0.0,77915.0,77915.0,77915.0,41,24,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.411,72.0,306.0,77915.0,77915.0,77915.0,24,0,8,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,0,1,1,58.0,72.0,78.0,73.0,72.0 +15.0,14,12,0.0,69,,69.0,14.0,77249.0,205.563,webber,91.0,Australian,red_bull,Austrian,2007,8,French Grand Prix,43200000.0,magny_cours,Magny Cours,France,46.8642,3.16361,228.0,+1 Lap,0.0,6.0,6.0,0.0,75746.0,75806.0,75806.0,48,31,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.411,72.0,306.0,75746.0,75806.0,75786.0,30,1,26,0,0,0,0,0,0,1,0,1,1,0,0,1,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +17.0,18,14,0.0,69,,69.0,13.0,77240.0,205.587,wurz,90.0,Austrian,williams,British,2007,8,French Grand Prix,43200000.0,magny_cours,Magny Cours,France,46.8642,3.16361,228.0,+1 Lap,0.0,13.0,4.0,0.0,76241.0,76241.0,76241.0,50,33,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.411,72.0,306.0,76241.0,76241.0,76241.0,33,0,8,1,0,1,0,0,0,1,0,1,1,1,0,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +21.0,22,15,0.0,57,,56.0,21.0,84390.0,219.31,albers,86.0,Dutch,spyker,Dutch,2007,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+2 Laps,0.0,0.0,10.0,0.0,82586.0,82586.0,82586.0,45,28,Dry and sunny,1,0,1,0,0,Race circuit,Clockwise,5.891,52.0,306.198,82586.0,82586.0,82586.0,27,1,27,0,0,0,0,0,0,0,0,0,0,0,0,0,2,2,0,0,0,58.0,72.0,78.0,73.0,72.0 +1.0,3,2,8.0,59,4905533.0,35.0,3.0,81117.0,228.159,alonso,14.0,Spanish,mclaren,British,2007,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,2.0,128.0,11.0,4.0,79330.0,79152.0,80147.0,43,26,Dry and sunny,1,0,1,0,0,Race circuit,Clockwise,5.891,52.0,306.198,79152.0,80147.0,79543.0,25,1,27,5,2,1,0,1,0,2,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,14,9,0.0,58,,28.0,13.0,83387.0,221.948,barrichello,96.0,Brazilian,honda,Japanese,2007,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,1.0,8.0,0.0,81169.0,80364.0,80364.0,52,35,Dry and sunny,1,0,1,0,0,Race circuit,Clockwise,5.891,52.0,306.198,80364.0,81169.0,80632.33333333333,34,1,27,0,0,0,0,0,0,0,0,0,2,3,1,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +7.0,18,10,0.0,58,,29.0,16.0,83581.0,221.433,button,22.0,British,honda,Japanese,2007,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,1.0,8.0,0.0,81335.0,81335.0,81335.0,44,27,Dry and sunny,1,0,1,0,0,Race circuit,Clockwise,5.891,52.0,306.198,81335.0,81335.0,81335.0,26,1,27,0,0,0,0,0,0,0,1,0,0,1,3,0,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +14.0,12,11,0.0,58,,40.0,12.0,83118.0,222.666,coulthard,68.0,British,red_bull,Austrian,2007,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,6.0,6.0,0.0,81154.0,80329.0,80329.0,53,36,Dry and sunny,1,0,1,0,0,Race circuit,Clockwise,5.891,52.0,306.198,80329.0,81154.0,80604.0,35,1,27,0,0,0,0,1,0,0,0,0,0,0,0,1,1,0,1,0,1,58.0,72.0,78.0,73.0,72.0 +3.0,8,8,1.0,58,,13.0,7.0,82136.0,225.328,fisichella,84.0,Italian,renault,French,2007,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,31.0,3.0,0.0,80842.0,80042.0,80775.0,51,34,Dry and sunny,1,0,1,0,0,Race circuit,Clockwise,5.891,52.0,306.198,80042.0,80842.0,80553.0,33,1,27,0,0,0,1,1,2,0,1,2,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +2.0,1,3,6.0,59,4942447.0,11.0,4.0,81675.0,226.6,hamilton,44.0,British,mclaren,British,2007,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,2.0,128.0,11.0,5.0,79885.0,79400.0,79997.0,39,22,Dry and sunny,1,0,1,0,0,Race circuit,Clockwise,5.891,52.0,306.198,79400.0,79997.0,79760.66666666667,22,0,9,8,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +9.0,9,6,3.0,59,4959410.0,17.0,5.0,81991.0,225.727,heidfeld,43.0,German,bmw_sauber,German,2007,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,56.0,2.0,0.0,80534.0,80178.0,80894.0,47,30,Dry and sunny,1,0,1,0,0,Race circuit,Clockwise,5.891,52.0,306.198,80178.0,80894.0,80535.33333333333,29,1,27,1,1,0,3,1,1,0,0,0,0,0,0,0,0,1,0,0,1,58.0,72.0,78.0,73.0,72.0 +4.0,7,7,2.0,58,,11.0,9.0,82552.0,224.193,kovalainen,52.0,Finnish,renault,French,2007,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,31.0,3.0,0.0,80570.0,80077.0,80721.0,43,26,Dry and sunny,1,0,1,0,0,Race circuit,Clockwise,5.891,52.0,306.198,80077.0,80721.0,80456.0,26,0,9,0,0,0,1,1,0,1,1,1,1,0,0,1,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +10.0,5,4,5.0,59,4956393.0,14.0,6.0,82105.0,225.413,kubica,88.0,Polish,bmw_sauber,German,2007,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,56.0,2.0,0.0,80294.0,80054.0,80401.0,40,23,Dry and sunny,1,0,1,0,0,Race circuit,Clockwise,5.891,52.0,306.198,80054.0,80401.0,80249.66666666667,22,1,14,0,0,0,2,1,1,0,0,0,0,0,0,0,0,0,0,1,1,58.0,72.0,78.0,73.0,72.0 +5.0,4,5,4.0,59,4957137.0,17.0,2.0,80858.0,228.89,massa,19.0,Brazilian,ferrari,Italian,2007,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,2.0,103.0,1.0,5.0,79790.0,79421.0,80265.0,43,26,Dry and sunny,1,0,1,0,0,Race circuit,Clockwise,5.891,52.0,306.198,79421.0,80265.0,79825.33333333333,25,1,27,5,1,2,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +6.0,2,1,10.0,59,4903074.0,17.0,1.0,80638.0,229.514,raikkonen,7.0,Finnish,ferrari,Italian,2007,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,2.0,103.0,1.0,5.0,79753.0,79252.0,80099.0,45,28,Dry and sunny,1,0,1,0,0,Race circuit,Clockwise,5.891,52.0,306.198,79252.0,80099.0,79701.33333333333,27,1,27,4,0,2,1,1,0,0,1,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +16.0,17,12,0.0,58,,49.0,11.0,82896.0,223.262,rosberg,6.0,German,williams,British,2007,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,13.0,4.0,0.0,81219.0,81219.0,81219.0,39,22,Dry and sunny,1,0,1,0,0,Race circuit,Clockwise,5.891,52.0,306.198,81219.0,81219.0,81219.0,21,1,27,0,0,0,0,0,1,1,0,1,2,0,1,0,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +22.0,21,14,0.0,57,,42.0,14.0,83413.0,221.879,sato,34.0,Japanese,super_aguri,Japanese,2007,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+2 Laps,0.0,4.0,7.0,0.0,82045.0,82045.0,82045.0,47,30,Dry and sunny,1,0,1,0,0,Race circuit,Clockwise,5.891,52.0,306.198,82045.0,82045.0,82045.0,29,1,27,0,0,0,0,0,1,0,1,0,0,0,1,1,0,0,1,1,0,58.0,72.0,78.0,73.0,72.0 +17.0,13,13,0.0,58,,57.0,10.0,82693.0,223.81,wurz,90.0,Austrian,williams,British,2007,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,13.0,4.0,0.0,80830.0,80350.0,80350.0,50,33,Dry and sunny,1,0,1,0,0,Race circuit,Clockwise,5.891,52.0,306.198,80350.0,80830.0,80510.0,33,0,9,1,0,1,0,0,0,1,0,1,1,1,0,0,1,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +1.0,2,1,10.0,60,7586358.0,35.0,2.0,93231.0,198.783,alonso,14.0,Spanish,mclaren,British,2007,10,European Grand Prix,43200000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,Finished,2.0,138.0,11.0,5.0,91074.0,90983.0,91741.0,43,26,Heavy Rain on Lap 1. Drying track at restart. Light Rain before the finish.,0,0,1,1,0,Race circuit,Clockwise,5.148,60.0,308.617,90983.0,91741.0,91266.0,25,1,28,6,3,1,0,1,0,2,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,14,11,0.0,59,,37.0,14.0,95632.0,193.792,barrichello,96.0,Brazilian,honda,Japanese,2007,10,European Grand Prix,43200000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,+1 Lap,0.0,1.0,8.0,0.0,92674.0,92221.0,92221.0,52,35,Heavy Rain on Lap 1. Drying track at restart. Light Rain before the finish.,0,0,1,1,0,Race circuit,Clockwise,5.148,60.0,308.617,92221.0,92674.0,92372.0,34,1,28,0,0,0,0,0,0,0,0,1,2,3,1,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +14.0,20,5,4.0,60,7660014.0,48.0,6.0,94316.0,196.496,coulthard,68.0,British,red_bull,Austrian,2007,10,European Grand Prix,43200000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,Finished,0.0,16.0,5.0,0.0,93151.0,93151.0,93151.0,53,36,Heavy Rain on Lap 1. Drying track at restart. Light Rain before the finish.,0,0,1,1,0,Race circuit,Clockwise,5.148,60.0,308.617,93151.0,93151.0,93151.0,35,1,28,0,0,0,0,1,0,0,0,0,0,1,0,1,1,0,1,0,1,58.0,72.0,78.0,73.0,72.0 +23.0,15,12,0.0,59,,46.0,13.0,95282.0,194.504,davidson,87.0,British,super_aguri,Japanese,2007,10,European Grand Prix,43200000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,+1 Lap,0.0,4.0,7.0,0.0,92793.0,92451.0,92451.0,45,28,Heavy Rain on Lap 1. Drying track at restart. Light Rain before the finish.,0,0,1,1,0,Race circuit,Clockwise,5.148,60.0,308.617,92451.0,92793.0,92565.0,28,0,10,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,3,0,2,58.0,72.0,78.0,73.0,72.0 +3.0,13,10,0.0,59,,48.0,12.0,94893.0,195.302,fisichella,84.0,Italian,renault,French,2007,10,European Grand Prix,43200000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,+1 Lap,0.0,32.0,3.0,0.0,92378.0,92010.0,92010.0,51,34,Heavy Rain on Lap 1. Drying track at restart. Light Rain before the finish.,0,0,1,1,0,Race circuit,Clockwise,5.148,60.0,308.617,92010.0,92378.0,92132.66666666669,33,1,28,0,0,0,1,1,2,0,2,2,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +2.0,10,9,0.0,59,,29.0,3.0,93401.0,198.421,hamilton,44.0,British,mclaren,British,2007,10,European Grand Prix,43200000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,+1 Lap,2.0,138.0,11.0,5.0,91587.0,91185.0,93833.0,39,22,Heavy Rain on Lap 1. Drying track at restart. Light Rain before the finish.,0,0,1,1,0,Race circuit,Clockwise,5.148,60.0,308.617,91185.0,93833.0,92201.66666666669,22,0,10,9,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +9.0,4,6,3.0,60,7666656.0,49.0,7.0,94354.0,196.417,heidfeld,43.0,German,bmw_sauber,German,2007,10,European Grand Prix,43200000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,Finished,0.0,61.0,2.0,0.0,91889.0,91652.0,91840.0,47,30,Heavy Rain on Lap 1. Drying track at restart. Light Rain before the finish.,0,0,1,1,0,Race circuit,Clockwise,5.148,60.0,308.617,91652.0,91889.0,91793.66666666669,29,1,28,1,1,0,3,1,2,0,0,0,0,0,0,0,0,1,0,0,1,58.0,72.0,78.0,73.0,72.0 +4.0,7,8,1.0,59,,48.0,11.0,94603.0,195.9,kovalainen,52.0,Finnish,renault,French,2007,10,European Grand Prix,43200000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,+1 Lap,0.0,32.0,3.0,0.0,92594.0,91783.0,92478.0,43,26,Heavy Rain on Lap 1. Drying track at restart. Light Rain before the finish.,0,0,1,1,0,Race circuit,Clockwise,5.148,60.0,308.617,91783.0,92594.0,92285.0,26,0,10,0,0,0,1,1,0,2,1,1,1,0,0,1,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +10.0,5,7,2.0,60,7668773.0,49.0,9.0,94451.0,196.216,kubica,88.0,Polish,bmw_sauber,German,2007,10,European Grand Prix,43200000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,Finished,0.0,61.0,2.0,0.0,91961.0,91444.0,92123.0,40,23,Heavy Rain on Lap 1. Drying track at restart. Light Rain before the finish.,0,0,1,1,0,Race circuit,Clockwise,5.148,60.0,308.617,91444.0,92123.0,91842.66666666669,22,1,15,0,0,0,3,1,1,0,0,0,0,0,0,0,0,0,0,1,1,58.0,72.0,78.0,73.0,72.0 +5.0,3,2,8.0,60,7594513.0,34.0,1.0,92853.0,199.592,massa,19.0,Brazilian,ferrari,Italian,2007,10,European Grand Prix,43200000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,Finished,2.0,111.0,1.0,5.0,91447.0,90912.0,91778.0,43,26,Heavy Rain on Lap 1. Drying track at restart. Light Rain before the finish.,0,0,1,1,0,Race circuit,Clockwise,5.148,60.0,308.617,90912.0,91778.0,91379.0,25,1,28,5,1,2,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +12.0,8,13,0.0,59,,29.0,10.0,94496.0,196.122,trulli,75.0,Italian,toyota,Japanese,2007,10,European Grand Prix,43200000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,+1 Lap,0.0,9.0,6.0,0.0,92381.0,91859.0,92501.0,50,33,Heavy Rain on Lap 1. Drying track at restart. Light Rain before the finish.,0,0,1,1,0,Race circuit,Clockwise,5.148,60.0,308.617,91859.0,92501.0,92247.0,32,1,28,0,0,0,0,0,1,2,0,1,0,0,0,1,0,1,0,1,0,58.0,72.0,78.0,73.0,72.0 +15.0,6,3,6.0,60,7652032.0,29.0,8.0,94449.0,196.22,webber,91.0,Australian,red_bull,Austrian,2007,10,European Grand Prix,43200000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,Finished,0.0,16.0,5.0,0.0,92629.0,91661.0,92476.0,48,31,Heavy Rain on Lap 1. Drying track at restart. Light Rain before the finish.,0,0,1,1,0,Race circuit,Clockwise,5.148,60.0,308.617,91661.0,92629.0,92255.33333333331,30,1,28,0,0,0,0,0,0,1,0,1,1,0,1,1,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +17.0,12,4,5.0,60,7652295.0,33.0,5.0,94235.0,196.665,wurz,90.0,Austrian,williams,British,2007,10,European Grand Prix,43200000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,Finished,0.0,18.0,4.0,0.0,92173.0,91996.0,91996.0,50,33,Heavy Rain on Lap 1. Drying track at restart. Light Rain before the finish.,0,0,1,1,0,Race circuit,Clockwise,5.148,60.0,308.617,91996.0,92173.0,92055.0,33,0,10,1,0,1,0,0,0,1,0,1,1,1,0,1,1,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +1.0,6,4,5.0,70,5797849.0,49.0,3.0,80324.0,196.349,alonso,14.0,Spanish,mclaren,British,2007,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,3.0,138.0,11.0,5.0,80425.0,79661.0,79674.0,43,26,"Sunny, temperatures reaching up to 27 °C (81 °F)[4]",1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,79661.0,80425.0,79920.0,25,1,29,7,3,1,0,1,0,2,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,18,18,0.0,68,,34.0,17.0,82004.0,192.327,barrichello,96.0,Brazilian,honda,Japanese,2007,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+2 Laps,0.0,1.0,8.0,0.0,81877.0,81877.0,81877.0,52,35,"Sunny, temperatures reaching up to 27 °C (81 °F)[4]",1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,81877.0,81877.0,81877.0,34,1,29,0,0,0,0,0,0,0,0,1,2,4,1,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +14.0,10,11,0.0,69,,67.0,14.0,81553.0,193.39,coulthard,68.0,British,red_bull,Austrian,2007,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,16.0,5.0,0.0,81291.0,80718.0,80718.0,53,36,"Sunny, temperatures reaching up to 27 °C (81 °F)[4]",1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,80718.0,81291.0,80909.0,35,1,29,0,0,0,0,2,0,0,0,0,0,1,0,1,1,0,1,0,1,58.0,72.0,78.0,73.0,72.0 +3.0,13,12,0.0,69,,66.0,15.0,81695.0,193.054,fisichella,84.0,Italian,renault,French,2007,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,33.0,3.0,0.0,81645.0,80590.0,81079.0,51,34,"Sunny, temperatures reaching up to 27 °C (81 °F)[4]",1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,80590.0,81645.0,81104.66666666667,33,1,29,0,0,0,1,1,2,0,2,2,1,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +2.0,1,1,10.0,70,5752991.0,13.0,2.0,80171.0,196.724,hamilton,44.0,British,mclaren,British,2007,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,2.0,138.0,11.0,6.0,79570.0,79301.0,79781.0,39,22,"Sunny, temperatures reaching up to 27 °C (81 °F)[4]",1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,79301.0,79781.0,79550.66666666667,22,0,11,9,4,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +9.0,2,3,6.0,70,5796120.0,16.0,5.0,80582.0,195.721,heidfeld,43.0,German,bmw_sauber,German,2007,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,71.0,2.0,0.0,80751.0,80322.0,80259.0,47,30,"Sunny, temperatures reaching up to 27 °C (81 °F)[4]",1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,80259.0,80751.0,80444.0,29,1,29,1,1,0,3,1,3,0,0,0,0,0,0,0,0,1,0,0,1,58.0,72.0,78.0,73.0,72.0 +4.0,11,8,1.0,70,5821095.0,69.0,8.0,80935.0,194.867,kovalainen,52.0,Finnish,renault,French,2007,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,33.0,3.0,0.0,80285.0,80779.0,80779.0,43,26,"Sunny, temperatures reaching up to 27 °C (81 °F)[4]",1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,80285.0,80779.0,80614.33333333333,26,0,11,0,0,0,1,1,0,2,2,1,1,0,0,1,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +10.0,7,5,4.0,70,5800607.0,40.0,4.0,80419.0,196.117,kubica,88.0,Polish,bmw_sauber,German,2007,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,71.0,2.0,0.0,80366.0,80703.0,80876.0,40,23,"Sunny, temperatures reaching up to 27 °C (81 °F)[4]",1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,80366.0,80876.0,80648.33333333333,22,1,16,0,0,0,3,1,1,1,0,0,0,0,0,0,0,0,0,1,1,58.0,72.0,78.0,73.0,72.0 +5.0,14,13,0.0,69,,37.0,11.0,80981.0,194.756,massa,19.0,Brazilian,ferrari,Italian,2007,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,2.0,119.0,1.0,5.0,80408.0,81021.0,81021.0,43,26,"Sunny, temperatures reaching up to 27 °C (81 °F)[4]",1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,80408.0,81021.0,80816.66666666667,25,1,29,6,2,2,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +6.0,3,2,8.0,70,5753706.0,70.0,1.0,80047.0,197.029,raikkonen,7.0,Finnish,ferrari,Italian,2007,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,3.0,119.0,1.0,5.0,80435.0,80107.0,80410.0,45,28,"Sunny, temperatures reaching up to 27 °C (81 °F)[4]",1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,80107.0,80435.0,80317.33333333333,27,1,29,5,0,2,1,1,0,0,1,0,0,0,0,0,1,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,5,6,3.0,70,5803660.0,69.0,9.0,80961.0,194.804,ralf_schumacher,56.0,German,toyota,Japanese,2007,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,12.0,6.0,0.0,80449.0,80455.0,80714.0,49,32,"Sunny, temperatures reaching up to 27 °C (81 °F)[4]",1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,80449.0,80714.0,80539.33333333333,31,1,29,0,0,0,0,0,0,0,2,0,1,0,1,0,0,1,3,0,0,58.0,72.0,78.0,73.0,72.0 +16.0,4,7,2.0,70,5812130.0,68.0,6.0,80672.0,195.502,rosberg,6.0,German,williams,British,2007,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,20.0,4.0,0.0,80547.0,80188.0,80632.0,39,22,"Sunny, temperatures reaching up to 27 °C (81 °F)[4]",1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,80188.0,80632.0,80455.66666666667,21,1,29,0,0,0,0,0,1,1,0,1,2,0,2,0,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +22.0,19,15,0.0,69,,66.0,10.0,80980.0,194.759,sato,34.0,Japanese,super_aguri,Japanese,2007,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,4.0,7.0,0.0,82143.0,82143.0,82143.0,47,30,"Sunny, temperatures reaching up to 27 °C (81 °F)[4]",1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,82143.0,82143.0,82143.0,29,1,29,0,0,0,0,0,1,0,1,0,0,0,1,1,1,1,1,1,0,58.0,72.0,78.0,73.0,72.0 +20.0,21,17,0.0,68,,67.0,19.0,82263.0,191.721,sutil,99.0,German,spyker,Dutch,2007,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+2 Laps,0.0,0.0,10.0,0.0,82737.0,82737.0,82737.0,41,24,"Sunny, temperatures reaching up to 27 °C (81 °F)[4]",1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,82737.0,82737.0,82737.0,24,0,11,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,0,2,1,58.0,72.0,78.0,73.0,72.0 +12.0,8,10,0.0,69,,48.0,12.0,81253.0,194.104,trulli,75.0,Italian,toyota,Japanese,2007,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,12.0,6.0,0.0,80481.0,79951.0,81206.0,50,33,"Sunny, temperatures reaching up to 27 °C (81 °F)[4]",1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,79951.0,81206.0,80546.0,32,1,29,0,0,0,0,0,1,2,0,1,0,0,0,2,0,1,0,1,0,58.0,72.0,78.0,73.0,72.0 +19.0,20,16,0.0,69,,65.0,16.0,81915.0,192.536,vettel,5.0,German,toro_rosso,Italian,2007,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,0.0,9.0,0.0,82177.0,82177.0,82177.0,37,20,"Sunny, temperatures reaching up to 27 °C (81 °F)[4]",1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,82177.0,82177.0,82177.0,20,0,2,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +15.0,9,9,0.0,70,5829322.0,63.0,7.0,80915.0,194.915,webber,91.0,Australian,red_bull,Austrian,2007,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,16.0,5.0,0.0,80794.0,80439.0,81256.0,48,31,"Sunny, temperatures reaching up to 27 °C (81 °F)[4]",1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,80439.0,81256.0,80829.66666666667,30,1,29,1,0,1,0,0,0,1,0,1,1,0,1,1,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +17.0,12,14,0.0,69,,49.0,13.0,81264.0,194.078,wurz,90.0,Austrian,williams,British,2007,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,20.0,4.0,0.0,81243.0,80865.0,80865.0,50,33,"Sunny, temperatures reaching up to 27 °C (81 °F)[4]",1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,80865.0,81243.0,80991.0,33,0,11,1,0,1,1,0,0,1,0,1,1,1,0,1,1,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +1.0,4,3,6.0,58,5228342.0,39.0,4.0,88070.0,218.199,alonso,14.0,Spanish,mclaren,British,2007,12,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,3.0,148.0,11.0,6.0,87328.0,86841.0,87574.0,43,26,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,86841.0,87574.0,87247.66666666667,25,1,30,7,3,1,1,1,0,2,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,22,17,0.0,57,,35.0,15.0,89513.0,214.681,barrichello,96.0,Brazilian,honda,Japanese,2007,12,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,+1 Lap,0.0,1.0,8.0,0.0,88792.0,88188.0,88188.0,52,35,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,88188.0,88792.0,88389.33333333333,34,1,30,0,0,0,0,0,0,0,0,1,2,4,1,1,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +7.0,21,13,0.0,57,,34.0,10.0,88873.0,216.227,button,22.0,British,honda,Japanese,2007,12,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,+1 Lap,0.0,1.0,8.0,0.0,88373.0,88220.0,88220.0,44,27,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,88220.0,88373.0,88271.0,26,1,30,0,0,0,0,0,0,0,1,0,1,1,3,0,0,1,0,0,1,58.0,72.0,78.0,73.0,72.0 +14.0,13,10,0.0,58,5273170.0,54.0,13.0,89068.0,215.754,coulthard,68.0,British,red_bull,Austrian,2007,12,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,0.0,16.0,5.0,0.0,88395.0,88100.0,88100.0,53,36,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,88100.0,88395.0,88198.33333333333,35,1,30,0,0,0,0,2,0,0,0,0,0,2,0,1,1,0,1,0,1,58.0,72.0,78.0,73.0,72.0 +23.0,11,14,0.0,57,,38.0,17.0,89658.0,214.334,davidson,87.0,British,super_aguri,Japanese,2007,12,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,+1 Lap,0.0,4.0,7.0,0.0,88304.0,88002.0,88002.0,45,28,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,88002.0,88304.0,88102.66666666667,28,0,12,0,0,0,0,0,0,0,0,0,0,3,1,0,0,0,3,0,2,58.0,72.0,78.0,73.0,72.0 +3.0,10,9,0.0,58,5261652.0,56.0,9.0,88793.0,216.422,fisichella,84.0,Italian,renault,French,2007,12,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,0.0,36.0,3.0,0.0,88313.0,87880.0,89322.0,51,34,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,87880.0,89322.0,88505.0,33,1,30,0,0,0,1,1,2,0,2,2,1,0,1,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +2.0,2,5,4.0,58,5247246.0,17.0,3.0,87963.0,218.464,hamilton,44.0,British,mclaren,British,2007,12,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,3.0,148.0,11.0,6.0,87513.0,86936.0,87373.0,39,22,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,86936.0,87513.0,87274.0,22,0,12,10,4,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +9.0,6,4,5.0,58,5241835.0,39.0,5.0,88319.0,217.583,heidfeld,43.0,German,bmw_sauber,German,2007,12,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,0.0,77.0,2.0,0.0,88099.0,87253.0,88037.0,47,30,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,87253.0,88099.0,87796.33333333333,29,1,30,2,1,1,3,1,3,0,0,0,0,0,0,0,0,1,0,0,1,58.0,72.0,78.0,73.0,72.0 +4.0,7,6,3.0,58,5248330.0,20.0,7.0,88603.0,216.886,kovalainen,52.0,Finnish,renault,French,2007,12,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,0.0,36.0,3.0,0.0,88127.0,87039.0,88491.0,43,26,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,87039.0,88491.0,87885.66666666667,26,0,12,0,0,0,1,1,0,2,3,1,1,0,0,1,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +10.0,5,8,1.0,58,5258868.0,11.0,11.0,88918.0,216.118,kubica,88.0,Polish,bmw_sauber,German,2007,12,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,0.0,77.0,2.0,0.0,87997.0,87253.0,87722.0,40,23,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,87253.0,87997.0,87657.33333333333,22,1,17,0,0,0,3,2,1,1,0,0,0,0,0,0,0,0,0,1,1,58.0,72.0,78.0,73.0,72.0 +18.0,15,15,0.0,57,,56.0,16.0,89563.0,214.561,liuzzi,29.0,Italian,toro_rosso,Italian,2007,12,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,+1 Lap,0.0,0.0,9.0,0.0,88798.0,88798.0,88798.0,44,27,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,88798.0,88798.0,88798.0,26,1,30,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,1,3,0,58.0,72.0,78.0,73.0,72.0 +5.0,1,1,10.0,58,5202161.0,18.0,2.0,87922.0,218.566,massa,19.0,Brazilian,ferrari,Italian,2007,12,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,2.0,137.0,1.0,6.0,87488.0,87039.0,87329.0,43,26,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,87039.0,87488.0,87285.33333333333,25,1,30,6,2,2,0,2,1,0,0,0,0,0,0,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +6.0,3,2,8.0,58,5204436.0,57.0,1.0,87295.0,220.136,raikkonen,7.0,Finnish,ferrari,Italian,2007,12,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,3.0,137.0,1.0,6.0,87294.0,86902.0,87546.0,45,28,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,86902.0,87546.0,87247.33333333333,27,1,30,6,1,2,1,1,0,0,1,0,0,0,0,0,1,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,16,12,0.0,57,,55.0,12.0,88924.0,216.103,ralf_schumacher,56.0,German,toyota,Japanese,2007,12,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,+1 Lap,0.0,12.0,6.0,0.0,88809.0,88809.0,88809.0,49,32,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,88809.0,88809.0,88809.0,31,1,30,0,0,0,0,0,1,0,2,0,1,0,1,0,0,1,3,0,0,58.0,72.0,78.0,73.0,72.0 +16.0,8,7,2.0,58,5257939.0,37.0,6.0,88536.0,217.05,rosberg,6.0,German,williams,British,2007,12,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,0.0,22.0,4.0,0.0,88275.0,87750.0,88501.0,39,22,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,87750.0,88501.0,88175.33333333333,21,1,30,0,0,0,0,0,1,2,0,1,2,0,2,0,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +22.0,17,18,0.0,57,,56.0,18.0,89916.0,213.719,sato,34.0,Japanese,super_aguri,Japanese,2007,12,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,+1 Lap,0.0,4.0,7.0,0.0,88953.0,88953.0,88953.0,47,30,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,88953.0,88953.0,88953.0,29,1,30,0,0,0,0,0,1,0,1,0,0,0,1,1,1,2,1,1,0,58.0,72.0,78.0,73.0,72.0 +12.0,9,16,0.0,57,,39.0,14.0,89459.0,214.811,trulli,75.0,Italian,toyota,Japanese,2007,12,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,+1 Lap,0.0,12.0,6.0,0.0,88318.0,87801.0,88740.0,50,33,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,87801.0,88740.0,88286.33333333333,32,1,30,0,0,0,0,0,1,2,0,1,1,0,0,2,0,1,0,1,0,58.0,72.0,78.0,73.0,72.0 +19.0,18,19,0.0,57,,39.0,19.0,89983.0,213.56,vettel,5.0,German,toro_rosso,Italian,2007,12,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,+1 Lap,0.0,0.0,9.0,0.0,89408.0,89408.0,89408.0,37,20,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,89408.0,89408.0,89408.0,20,0,3,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +17.0,14,11,0.0,58,5281789.0,55.0,8.0,88737.0,216.559,wurz,90.0,Austrian,williams,British,2007,12,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,0.0,22.0,4.0,0.0,88360.0,88390.0,88390.0,50,33,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,88360.0,88390.0,88380.0,33,0,12,1,0,1,1,0,0,1,0,1,1,1,0,1,2,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +21.0,20,20,0.0,56,,21.0,22.0,90951.0,211.287,yamamoto,15.0,Japanese,spyker,Dutch,2007,12,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,+2 Laps,0.0,0.0,10.0,0.0,91479.0,91479.0,91479.0,42,25,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,91479.0,91479.0,91479.0,24,1,9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +1.0,1,1,10.0,53,4717806.0,15.0,1.0,82871.0,251.653,alonso,14.0,Spanish,mclaren,British,2007,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,3.0,166.0,11.0,6.0,81718.0,81356.0,81997.0,43,26,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,81356.0,81997.0,81690.33333333333,25,1,31,8,3,2,1,1,0,2,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,12,10,0.0,53,4784764.0,52.0,12.0,84767.0,246.024,barrichello,96.0,Brazilian,honda,Japanese,2007,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,2.0,8.0,0.0,83474.0,83176.0,83176.0,52,35,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,83176.0,83474.0,83275.33333333333,34,1,31,0,0,0,0,0,0,0,0,1,2,4,1,1,0,0,0,1,1,58.0,72.0,78.0,73.0,72.0 +7.0,10,8,1.0,53,4779974.0,32.0,9.0,84532.0,246.708,button,22.0,British,honda,Japanese,2007,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,2.0,8.0,0.0,83639.0,83021.0,85165.0,44,27,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,83021.0,85165.0,83941.66666666667,26,1,31,0,0,0,0,0,0,0,1,0,1,1,3,1,0,1,0,0,1,58.0,72.0,78.0,73.0,72.0 +23.0,14,14,0.0,52,,46.0,17.0,85116.0,245.016,davidson,87.0,British,super_aguri,Japanese,2007,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,4.0,7.0,0.0,83646.0,83274.0,83274.0,45,28,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,83274.0,83646.0,83398.0,28,0,13,0,0,0,0,0,0,0,0,0,0,3,1,0,1,0,3,0,2,58.0,72.0,78.0,73.0,72.0 +3.0,15,12,0.0,52,,32.0,14.0,84849.0,245.787,fisichella,84.0,Italian,renault,French,2007,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,38.0,3.0,0.0,83559.0,83325.0,83325.0,51,34,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,83325.0,83559.0,83403.0,33,1,31,0,0,0,1,1,2,0,2,3,1,0,1,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +2.0,2,2,8.0,53,4723868.0,17.0,2.0,82936.0,251.456,hamilton,44.0,British,mclaren,British,2007,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,3.0,166.0,11.0,7.0,81956.0,81746.0,82034.0,39,22,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,81746.0,82034.0,81912.0,22,0,13,10,4,3,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +9.0,4,4,5.0,53,4774368.0,19.0,4.0,83681.0,249.217,heidfeld,43.0,German,bmw_sauber,German,2007,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,86.0,2.0,0.0,83107.0,82466.0,83174.0,47,30,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,82466.0,83174.0,82915.66666666667,29,1,31,2,1,1,4,1,3,0,0,0,0,0,0,0,0,1,0,0,1,58.0,72.0,78.0,73.0,72.0 +4.0,7,7,2.0,53,4784557.0,53.0,7.0,84226.0,247.605,kovalainen,52.0,Finnish,renault,French,2007,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,38.0,3.0,0.0,83505.0,83134.0,84102.0,43,26,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,83134.0,84102.0,83580.33333333333,26,0,13,0,0,0,1,1,1,2,3,1,1,0,0,1,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +10.0,6,5,4.0,53,4778364.0,22.0,5.0,83908.0,248.543,kubica,88.0,Polish,bmw_sauber,German,2007,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,86.0,2.0,0.0,83088.0,82400.0,83446.0,40,23,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,82400.0,83446.0,82978.0,22,1,18,0,0,0,3,2,1,1,1,0,0,0,0,0,0,0,0,1,1,58.0,72.0,78.0,73.0,72.0 +18.0,19,17,0.0,52,,45.0,19.0,85373.0,244.278,liuzzi,29.0,Italian,toro_rosso,Italian,2007,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,0.0,9.0,0.0,83886.0,83886.0,83886.0,44,27,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,83886.0,83886.0,83886.0,26,1,31,0,0,0,0,0,0,0,0,0,0,0,0,0,2,1,1,3,0,58.0,72.0,78.0,73.0,72.0 +6.0,5,3,6.0,53,4745131.0,21.0,3.0,83370.0,250.147,raikkonen,7.0,Finnish,ferrari,Italian,2007,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,3.0,143.0,1.0,6.0,82673.0,82369.0,83183.0,45,28,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,82369.0,83183.0,82741.66666666667,27,1,31,7,2,2,1,1,0,0,1,0,0,0,0,0,1,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,18,15,0.0,52,,49.0,15.0,84951.0,245.492,ralf_schumacher,56.0,German,toyota,Japanese,2007,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,12.0,6.0,0.0,83787.0,83787.0,83787.0,49,32,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,83787.0,83787.0,83787.0,31,1,31,0,0,0,0,0,1,0,2,0,1,0,2,0,0,1,3,0,0,58.0,72.0,78.0,73.0,72.0 +16.0,8,6,3.0,53,4783616.0,52.0,8.0,84472.0,246.884,rosberg,6.0,German,williams,British,2007,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,25.0,4.0,0.0,83333.0,82748.0,84382.0,39,22,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,82748.0,84382.0,83487.66666666667,21,1,31,0,0,0,0,0,1,3,0,1,2,0,2,0,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +22.0,17,16,0.0,52,,49.0,11.0,84669.0,246.309,sato,34.0,Japanese,super_aguri,Japanese,2007,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,4.0,7.0,0.0,83749.0,83749.0,83749.0,47,30,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,83749.0,83749.0,83749.0,29,1,31,0,0,0,0,0,1,0,1,0,0,0,1,1,1,2,1,1,1,58.0,72.0,78.0,73.0,72.0 +20.0,21,19,0.0,52,,30.0,20.0,85377.0,244.267,sutil,99.0,German,spyker,Dutch,2007,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,0.0,10.0,0.0,84699.0,84699.0,84699.0,41,24,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,84699.0,84699.0,84699.0,24,0,13,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,0,3,1,58.0,72.0,78.0,73.0,72.0 +12.0,9,11,0.0,53,4785542.0,49.0,10.0,84622.0,246.446,trulli,75.0,Italian,toyota,Japanese,2007,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,12.0,6.0,0.0,83724.0,83107.0,84555.0,50,33,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,83107.0,84555.0,83795.33333333333,32,1,31,0,0,0,0,0,1,2,0,1,1,0,0,2,0,1,1,1,0,58.0,72.0,78.0,73.0,72.0 +19.0,16,18,0.0,52,,47.0,18.0,85313.0,244.45,vettel,5.0,German,toro_rosso,Italian,2007,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,0.0,9.0,0.0,83578.0,83351.0,83351.0,37,20,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,83351.0,83578.0,83426.66666666667,20,0,4,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +15.0,11,9,0.0,53,4783685.0,46.0,13.0,84824.0,245.859,webber,91.0,Australian,red_bull,Austrian,2007,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,16.0,5.0,0.0,83575.0,83166.0,83166.0,48,31,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,83166.0,83575.0,83302.33333333333,30,1,31,1,0,1,0,0,0,1,0,2,1,0,1,1,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +17.0,13,13,0.0,52,,42.0,16.0,85000.0,245.35,wurz,90.0,Austrian,williams,British,2007,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,25.0,4.0,0.0,83739.0,83209.0,83209.0,50,33,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,83209.0,83739.0,83385.66666666667,33,0,13,1,0,1,1,0,0,1,0,1,1,2,0,1,2,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +21.0,22,20,0.0,52,,34.0,21.0,85478.0,243.978,yamamoto,15.0,Japanese,spyker,Dutch,2007,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,0.0,10.0,0.0,85084.0,85084.0,85084.0,42,25,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,85084.0,85084.0,85084.0,24,1,10,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +1.0,3,3,6.0,44,4853409.0,44.0,3.0,108182.0,233.073,alonso,14.0,Spanish,mclaren,British,2007,14,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,4.0,192.0,11.0,7.0,106058.0,105442.0,106091.0,43,26,"Partly cloudy, mild and dry",1,0,1,0,1,Race circuit,Clockwise,7.004,44.0,308.052,105442.0,106091.0,105863.66666666669,25,1,32,9,3,2,1,1,0,2,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,17,13,0.0,43,,43.0,12.0,110678.0,227.817,barrichello,96.0,Brazilian,honda,Japanese,2007,14,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,+1 Lap,0.0,2.0,8.0,0.0,107954.0,107954.0,107954.0,52,35,"Partly cloudy, mild and dry",1,0,1,0,1,Race circuit,Clockwise,7.004,44.0,308.052,107954.0,107954.0,107954.0,34,1,32,0,0,0,0,0,0,0,0,1,3,4,1,1,0,0,0,1,1,58.0,72.0,78.0,73.0,72.0 +23.0,20,16,0.0,43,,43.0,19.0,111391.0,226.359,davidson,87.0,British,super_aguri,Japanese,2007,14,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,+1 Lap,0.0,4.0,7.0,0.0,108199.0,108199.0,108199.0,45,28,"Partly cloudy, mild and dry",1,0,1,0,1,Race circuit,Clockwise,7.004,44.0,308.052,108199.0,108199.0,108199.0,28,0,14,0,0,0,0,0,0,0,0,0,0,3,1,0,2,0,3,0,2,58.0,72.0,78.0,73.0,72.0 +2.0,4,4,5.0,44,4862681.0,41.0,4.0,108215.0,233.002,hamilton,44.0,British,mclaren,British,2007,14,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,3.0,192.0,11.0,7.0,106437.0,105132.0,106406.0,39,22,"Partly cloudy, mild and dry",1,0,1,0,1,Race circuit,Clockwise,7.004,44.0,308.052,105132.0,106437.0,105991.66666666669,22,0,14,11,5,3,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +9.0,6,5,4.0,44,4890945.0,33.0,5.0,108663.0,232.042,heidfeld,43.0,German,bmw_sauber,German,2007,14,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,90.0,2.0,0.0,106923.0,105994.0,107409.0,47,30,"Partly cloudy, mild and dry",1,0,1,0,1,Race circuit,Clockwise,7.004,44.0,308.052,105994.0,107409.0,106775.33333333331,29,1,32,2,1,1,5,1,3,0,0,0,0,0,0,0,0,1,0,0,1,58.0,72.0,78.0,73.0,72.0 +4.0,9,8,1.0,44,4924172.0,21.0,8.0,109600.0,230.058,kovalainen,52.0,Finnish,renault,French,2007,14,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,39.0,3.0,0.0,106971.0,106240.0,108505.0,43,26,"Partly cloudy, mild and dry",1,0,1,0,1,Race circuit,Clockwise,7.004,44.0,308.052,106240.0,108505.0,107238.66666666669,26,0,14,0,0,0,1,1,1,3,3,1,1,0,0,1,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +10.0,14,9,0.0,44,4924727.0,32.0,6.0,108894.0,231.549,kubica,88.0,Polish,bmw_sauber,German,2007,14,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,90.0,2.0,0.0,106707.0,105885.0,106996.0,40,23,"Partly cloudy, mild and dry",1,0,1,0,1,Race circuit,Clockwise,7.004,44.0,308.052,105885.0,106996.0,106529.33333333331,22,1,19,0,0,0,3,3,1,1,1,0,0,0,0,0,0,0,0,1,1,58.0,72.0,78.0,73.0,72.0 +18.0,13,12,0.0,43,,40.0,13.0,110730.0,227.71,liuzzi,29.0,Italian,toro_rosso,Italian,2007,14,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,+1 Lap,0.0,0.0,9.0,0.0,107576.0,107115.0,107115.0,44,27,"Partly cloudy, mild and dry",1,0,1,0,1,Race circuit,Clockwise,7.004,44.0,308.052,107115.0,107576.0,107268.66666666669,26,1,32,0,0,0,0,0,0,0,0,0,0,0,0,0,2,1,1,4,0,58.0,72.0,78.0,73.0,72.0 +5.0,2,2,8.0,44,4843761.0,34.0,1.0,108036.0,233.388,massa,19.0,Brazilian,ferrari,Italian,2007,14,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,3.0,161.0,1.0,7.0,106060.0,105173.0,106011.0,43,26,"Partly cloudy, mild and dry",1,0,1,0,1,Race circuit,Clockwise,7.004,44.0,308.052,105173.0,106060.0,105748.0,25,1,32,7,2,2,0,2,1,0,0,0,0,0,0,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +6.0,1,1,10.0,44,4839066.0,12.0,2.0,108095.0,233.261,raikkonen,7.0,Finnish,ferrari,Italian,2007,14,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,3.0,161.0,1.0,7.0,106242.0,105070.0,105994.0,45,28,"Partly cloudy, mild and dry",1,0,1,0,1,Race circuit,Clockwise,7.004,44.0,308.052,105070.0,106242.0,105768.66666666669,27,1,32,8,2,3,1,1,0,0,1,0,0,0,0,0,1,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,10,10,0.0,44,4927640.0,43.0,10.0,110022.0,229.175,ralf_schumacher,56.0,German,toyota,Japanese,2007,14,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,12.0,6.0,0.0,107300.0,106618.0,106618.0,49,32,"Partly cloudy, mild and dry",1,0,1,0,1,Race circuit,Clockwise,7.004,44.0,308.052,106618.0,107300.0,106845.33333333331,31,1,32,0,0,0,0,0,1,0,2,0,1,0,2,0,0,2,3,0,0,58.0,72.0,78.0,73.0,72.0 +16.0,5,6,3.0,44,4915942.0,29.0,9.0,109769.0,229.704,rosberg,6.0,German,williams,British,2007,14,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,28.0,4.0,0.0,106950.0,106469.0,107334.0,39,22,"Partly cloudy, mild and dry",1,0,1,0,1,Race circuit,Clockwise,7.004,44.0,308.052,106469.0,107334.0,106917.66666666669,21,1,32,0,0,0,0,0,2,3,0,1,2,0,2,0,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +22.0,18,15,0.0,43,,32.0,14.0,110886.0,227.39,sato,34.0,Japanese,super_aguri,Japanese,2007,14,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,+1 Lap,0.0,4.0,7.0,0.0,107980.0,107980.0,107980.0,47,30,"Partly cloudy, mild and dry",1,0,1,0,1,Race circuit,Clockwise,7.004,44.0,308.052,107980.0,107980.0,107980.0,29,1,32,0,0,0,0,0,1,0,1,0,0,0,1,1,1,2,2,1,1,58.0,72.0,78.0,73.0,72.0 +20.0,19,14,0.0,43,,29.0,15.0,110902.0,227.357,sutil,99.0,German,spyker,Dutch,2007,14,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,+1 Lap,0.0,0.0,10.0,0.0,108044.0,108044.0,108044.0,41,24,"Partly cloudy, mild and dry",1,0,1,0,1,Race circuit,Clockwise,7.004,44.0,308.052,108044.0,108044.0,108044.0,24,0,14,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,0,3,1,58.0,72.0,78.0,73.0,72.0 +12.0,8,11,0.0,44,4942719.0,43.0,7.0,108990.0,231.345,trulli,75.0,Italian,toyota,Japanese,2007,14,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,12.0,6.0,0.0,107143.0,106480.0,107798.0,50,33,"Partly cloudy, mild and dry",1,0,1,0,1,Race circuit,Clockwise,7.004,44.0,308.052,106480.0,107798.0,107140.33333333331,32,1,32,0,0,0,0,0,1,2,0,1,1,1,0,2,0,1,1,1,0,58.0,72.0,78.0,73.0,72.0 +15.0,7,7,2.0,44,4919705.0,12.0,11.0,110049.0,229.119,webber,91.0,Australian,red_bull,Austrian,2007,14,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,18.0,5.0,0.0,107084.0,106426.0,107524.0,48,31,"Partly cloudy, mild and dry",1,0,1,0,1,Race circuit,Clockwise,7.004,44.0,308.052,106426.0,107524.0,107011.33333333331,30,1,32,1,0,1,0,0,0,1,0,3,1,0,1,1,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +21.0,21,17,0.0,43,,30.0,20.0,111648.0,225.838,yamamoto,15.0,Japanese,spyker,Dutch,2007,14,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,+1 Lap,0.0,0.0,10.0,0.0,109557.0,109557.0,109557.0,42,25,"Partly cloudy, mild and dry",1,0,1,0,1,Race circuit,Clockwise,7.004,44.0,308.052,109557.0,109557.0,109557.0,24,1,11,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,17,10,0.0,67,7322921.0,57.0,15.0,91060.0,180.395,barrichello,96.0,Brazilian,honda,Japanese,2007,15,Japanese Grand Prix,16200000.0,fuji,Oyama,Japan,35.3717,138.927,583.0,Finished,0.0,2.0,8.0,0.0,87323.0,87323.0,87323.0,52,35,Very heavy rain,0,0,0,1,0,Race circuit,Clockwise,4.563,73.0,318.207,87323.0,87323.0,87323.0,34,1,33,0,0,0,0,0,0,0,0,1,3,4,1,2,0,0,0,1,1,58.0,72.0,78.0,73.0,72.0 +14.0,12,4,5.0,67,7254876.0,56.0,11.0,90086.0,182.345,coulthard,68.0,British,red_bull,Austrian,2007,15,Japanese Grand Prix,16200000.0,fuji,Oyama,Japan,35.3717,138.927,583.0,Finished,0.0,23.0,5.0,0.0,86904.0,86247.0,86247.0,53,36,Very heavy rain,0,0,0,1,0,Race circuit,Clockwise,4.563,73.0,318.207,86247.0,86904.0,86466.0,35,1,33,0,0,0,0,2,0,0,0,0,1,2,0,1,1,0,1,0,1,58.0,72.0,78.0,73.0,72.0 +3.0,10,5,4.0,67,7273443.0,33.0,12.0,90387.0,181.738,fisichella,84.0,Italian,renault,French,2007,15,Japanese Grand Prix,16200000.0,fuji,Oyama,Japan,35.3717,138.927,583.0,Finished,0.0,51.0,3.0,0.0,86909.0,86033.0,86033.0,51,34,Very heavy rain,0,0,0,1,0,Race circuit,Clockwise,4.563,73.0,318.207,86033.0,86909.0,86325.0,33,1,33,0,0,0,1,1,2,0,2,3,1,0,2,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +2.0,1,1,10.0,67,7234579.0,27.0,1.0,88193.0,186.259,hamilton,44.0,British,mclaren,British,2007,15,Japanese Grand Prix,16200000.0,fuji,Oyama,Japan,35.3717,138.927,583.0,Finished,3.0,202.0,11.0,8.0,85489.0,84753.0,85368.0,39,22,Very heavy rain,0,0,0,1,0,Race circuit,Clockwise,4.563,73.0,318.207,84753.0,85489.0,85203.33333333333,22,0,15,11,5,3,1,1,0,0,0,1,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +4.0,11,2,8.0,67,7242956.0,34.0,9.0,89655.0,183.222,kovalainen,52.0,Finnish,renault,French,2007,15,Japanese Grand Prix,16200000.0,fuji,Oyama,Japan,35.3717,138.927,583.0,Finished,0.0,51.0,3.0,0.0,87223.0,86232.0,86232.0,43,26,Very heavy rain,0,0,0,1,0,Race circuit,Clockwise,4.563,73.0,318.207,86232.0,87223.0,86562.33333333333,26,0,15,0,0,0,1,1,1,3,4,1,1,0,0,1,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +10.0,9,7,2.0,67,7283864.0,32.0,4.0,89021.0,184.527,kubica,88.0,Polish,bmw_sauber,German,2007,15,Japanese Grand Prix,16200000.0,fuji,Oyama,Japan,35.3717,138.927,583.0,Finished,0.0,92.0,2.0,0.0,86300.0,85530.0,87225.0,40,23,Very heavy rain,0,0,0,1,0,Race circuit,Clockwise,4.563,73.0,318.207,85530.0,87225.0,86351.66666666667,22,1,20,0,0,0,3,3,1,1,1,1,0,0,0,0,0,0,0,1,1,58.0,72.0,78.0,73.0,72.0 +18.0,14,9,0.0,67,7315201.0,35.0,13.0,90653.0,181.205,liuzzi,29.0,Italian,toro_rosso,Italian,2007,15,Japanese Grand Prix,16200000.0,fuji,Oyama,Japan,35.3717,138.927,583.0,Finished,0.0,0.0,10.0,0.0,87234.0,86948.0,86948.0,44,27,Very heavy rain,0,0,0,1,0,Race circuit,Clockwise,4.563,73.0,318.207,86948.0,87234.0,87043.33333333333,26,1,33,0,0,0,0,0,0,0,0,0,0,0,1,0,2,1,1,4,0,58.0,72.0,78.0,73.0,72.0 +5.0,4,6,3.0,67,7283621.0,32.0,7.0,89588.0,183.359,massa,19.0,Brazilian,ferrari,Italian,2007,15,Japanese Grand Prix,16200000.0,fuji,Oyama,Japan,35.3717,138.927,583.0,Finished,3.0,170.0,1.0,7.0,85359.0,85049.0,85765.0,43,26,Very heavy rain,0,0,0,1,0,Race circuit,Clockwise,4.563,73.0,318.207,85049.0,85765.0,85391.0,25,1,33,8,3,2,0,2,1,0,0,0,0,0,0,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +6.0,3,3,6.0,67,7244057.0,29.0,8.0,89619.0,183.295,raikkonen,7.0,Finnish,ferrari,Italian,2007,15,Japanese Grand Prix,16200000.0,fuji,Oyama,Japan,35.3717,138.927,583.0,Finished,4.0,170.0,1.0,7.0,85390.0,84988.0,85516.0,45,28,Very heavy rain,0,0,0,1,0,Race circuit,Clockwise,4.563,73.0,318.207,84988.0,85516.0,85298.0,27,1,33,9,2,3,1,1,0,0,1,0,0,0,0,0,1,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +20.0,20,8,1.0,67,7294708.0,54.0,18.0,91891.0,178.763,sutil,99.0,German,spyker,Dutch,2007,15,Japanese Grand Prix,16200000.0,fuji,Oyama,Japan,35.3717,138.927,583.0,Finished,0.0,1.0,9.0,0.0,88628.0,88628.0,88628.0,41,24,Very heavy rain,0,0,0,1,0,Race circuit,Clockwise,4.563,73.0,318.207,88628.0,88628.0,88628.0,24,0,15,0,0,0,0,0,0,0,0,0,0,0,0,1,2,1,0,3,1,58.0,72.0,78.0,73.0,72.0 +12.0,13,13,0.0,66,,55.0,21.0,92414.0,177.752,trulli,75.0,Italian,toyota,Japanese,2007,15,Japanese Grand Prix,16200000.0,fuji,Oyama,Japan,35.3717,138.927,583.0,+1 Lap,0.0,12.0,6.0,0.0,86711.0,86253.0,86253.0,50,33,Very heavy rain,0,0,0,1,0,Race circuit,Clockwise,4.563,73.0,318.207,86253.0,86711.0,86405.66666666667,32,1,33,0,0,0,0,0,1,2,0,1,1,2,0,2,0,1,1,1,0,58.0,72.0,78.0,73.0,72.0 +21.0,22,12,0.0,66,,33.0,20.0,92130.0,178.3,yamamoto,15.0,Japanese,spyker,Dutch,2007,15,Japanese Grand Prix,16200000.0,fuji,Oyama,Japan,35.3717,138.927,583.0,+1 Lap,0.0,1.0,9.0,0.0,89668.0,89668.0,89668.0,42,25,Very heavy rain,0,0,0,1,0,Race circuit,Clockwise,4.563,73.0,318.207,89668.0,89668.0,89668.0,24,1,12,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +1.0,4,2,8.0,56,5888201.0,54.0,2.0,97991.0,200.259,alonso,14.0,Spanish,mclaren,British,2007,16,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,4.0,210.0,11.0,8.0,95809.0,95845.0,96576.0,43,26,Intermittent light rain,0,0,0,1,0,Race circuit,Clockwise,5.451,56.0,305.066,95809.0,96576.0,96076.66666666669,25,1,34,10,3,3,1,1,0,2,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,16,15,0.0,55,,55.0,16.0,100516.0,195.228,barrichello,96.0,Brazilian,honda,Japanese,2007,16,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+1 Lap,0.0,6.0,8.0,0.0,97251.0,97251.0,97251.0,52,35,Intermittent light rain,0,0,0,1,0,Race circuit,Clockwise,5.451,56.0,305.066,97251.0,97251.0,97251.0,34,1,34,0,0,0,0,0,0,0,0,1,4,4,1,2,0,0,0,1,1,58.0,72.0,78.0,73.0,72.0 +7.0,10,5,4.0,56,5947061.0,39.0,5.0,98913.0,198.392,button,22.0,British,honda,Japanese,2007,16,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,6.0,8.0,0.0,97092.0,96771.0,99285.0,44,27,Intermittent light rain,0,0,0,1,0,Race circuit,Clockwise,5.451,56.0,305.066,96771.0,99285.0,97716.0,26,1,34,0,0,0,0,0,0,0,2,0,1,2,3,1,0,1,0,0,2,58.0,72.0,78.0,73.0,72.0 +14.0,5,8,1.0,56,5959145.0,55.0,10.0,99640.0,196.945,coulthard,68.0,British,red_bull,Austrian,2007,16,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,24.0,5.0,0.0,96930.0,96252.0,97619.0,53,36,Intermittent light rain,0,0,0,1,0,Race circuit,Clockwise,5.451,56.0,305.066,96252.0,97619.0,96933.66666666669,35,1,34,0,0,0,1,2,0,0,0,0,1,2,0,1,1,0,1,0,1,58.0,72.0,78.0,73.0,72.0 +3.0,18,11,0.0,56,5965078.0,39.0,4.0,98900.0,198.418,fisichella,84.0,Italian,renault,French,2007,16,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,51.0,3.0,0.0,97290.0,97290.0,97290.0,51,34,Intermittent light rain,0,0,0,1,0,Race circuit,Clockwise,5.451,56.0,305.066,97290.0,97290.0,97290.0,33,1,34,0,0,0,1,2,2,0,2,3,1,0,2,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +9.0,8,7,2.0,56,5952619.0,55.0,7.0,99325.0,197.569,heidfeld,43.0,German,bmw_sauber,German,2007,16,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,94.0,2.0,0.0,96737.0,96217.0,98455.0,47,30,Intermittent light rain,0,0,0,1,0,Race circuit,Clockwise,5.451,56.0,305.066,96217.0,98455.0,97136.33333333331,29,1,34,2,1,1,5,2,3,0,0,0,0,0,0,0,1,1,0,0,1,58.0,72.0,78.0,73.0,72.0 +4.0,13,9,0.0,56,5959581.0,52.0,8.0,99331.0,197.557,kovalainen,52.0,Finnish,renault,French,2007,16,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,51.0,3.0,0.0,97225.0,96991.0,96991.0,43,26,Intermittent light rain,0,0,0,1,0,Race circuit,Clockwise,5.451,56.0,305.066,96991.0,97225.0,97069.0,26,0,16,1,1,0,1,1,1,3,4,1,1,0,0,1,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +18.0,11,6,3.0,56,5952068.0,53.0,11.0,99654.0,196.917,liuzzi,29.0,Italian,toro_rosso,Italian,2007,16,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,8.0,7.0,0.0,97047.0,96862.0,96862.0,44,27,Intermittent light rain,0,0,0,1,0,Race circuit,Clockwise,5.451,56.0,305.066,96862.0,97047.0,96923.66666666669,26,1,34,0,0,0,0,0,0,0,0,1,0,0,1,0,2,1,1,4,0,58.0,72.0,78.0,73.0,72.0 +5.0,3,3,6.0,56,5891286.0,56.0,1.0,97454.0,201.362,massa,19.0,Brazilian,ferrari,Italian,2007,16,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,3.0,186.0,1.0,8.0,95792.0,95796.0,96221.0,43,26,Intermittent light rain,0,0,0,1,0,Race circuit,Clockwise,5.451,56.0,305.066,95792.0,96221.0,95936.33333333331,25,1,34,8,3,2,0,2,2,0,0,0,0,0,0,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +6.0,2,1,10.0,56,5878395.0,52.0,3.0,98285.0,199.66,raikkonen,7.0,Finnish,ferrari,Italian,2007,16,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,4.0,186.0,1.0,8.0,95692.0,95381.0,96044.0,45,28,Intermittent light rain,0,0,0,1,0,Race circuit,Clockwise,5.451,56.0,305.066,95381.0,96044.0,95705.66666666669,27,1,34,10,2,4,1,1,0,0,1,0,0,0,0,0,1,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +16.0,15,16,0.0,54,,54.0,6.0,99233.0,197.752,rosberg,6.0,German,williams,British,2007,16,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+2 Laps,0.0,28.0,4.0,0.0,97144.0,97483.0,97483.0,39,22,Intermittent light rain,0,0,0,1,0,Race circuit,Clockwise,5.451,56.0,305.066,97144.0,97483.0,97370.0,21,1,34,0,0,0,0,0,3,3,0,1,2,0,2,0,0,0,1,0,1,58.0,72.0,78.0,73.0,72.0 +22.0,20,14,0.0,55,,54.0,15.0,100126.0,195.989,sato,34.0,Japanese,super_aguri,Japanese,2007,16,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+1 Lap,0.0,4.0,9.0,0.0,98218.0,98218.0,98218.0,47,30,Intermittent light rain,0,0,0,1,0,Race circuit,Clockwise,5.451,56.0,305.066,98218.0,98218.0,98218.0,29,1,34,0,0,0,0,0,1,0,1,0,0,0,1,1,1,4,2,1,1,58.0,72.0,78.0,73.0,72.0 +12.0,12,13,0.0,55,,55.0,14.0,99911.0,196.41,trulli,75.0,Italian,toyota,Japanese,2007,16,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+1 Lap,0.0,12.0,6.0,0.0,97209.0,96959.0,96959.0,50,33,Intermittent light rain,0,0,0,1,0,Race circuit,Clockwise,5.451,56.0,305.066,96959.0,97209.0,97042.33333333331,32,1,34,0,0,0,0,0,1,2,0,1,1,2,0,3,0,1,1,1,0,58.0,72.0,78.0,73.0,72.0 +19.0,17,4,5.0,56,5931904.0,52.0,13.0,99890.0,196.452,vettel,5.0,German,toro_rosso,Italian,2007,16,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,8.0,7.0,0.0,97006.0,96891.0,96891.0,37,20,Intermittent light rain,0,0,0,1,0,Race circuit,Clockwise,5.451,56.0,305.066,96891.0,97006.0,96929.33333333331,20,0,7,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,1,58.0,72.0,78.0,73.0,72.0 +15.0,7,10,0.0,56,5963080.0,55.0,9.0,99371.0,197.478,webber,91.0,Australian,red_bull,Austrian,2007,16,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,24.0,5.0,0.0,97199.0,96602.0,98153.0,48,31,Intermittent light rain,0,0,0,1,0,Race circuit,Clockwise,5.451,56.0,305.066,96602.0,98153.0,97318.0,30,1,34,1,0,1,0,0,0,2,0,3,1,0,1,1,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +17.0,19,12,0.0,55,,54.0,12.0,99743.0,196.741,wurz,90.0,Austrian,williams,British,2007,16,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+1 Lap,0.0,28.0,4.0,0.0,97456.0,97456.0,97456.0,50,33,Intermittent light rain,0,0,0,1,0,Race circuit,Clockwise,5.451,56.0,305.066,97456.0,97456.0,97456.0,33,0,16,1,0,1,1,0,0,1,0,1,1,2,0,2,2,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +21.0,22,17,0.0,53,,52.0,17.0,100764.0,194.748,yamamoto,15.0,Japanese,spyker,Dutch,2007,16,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+3 Laps,0.0,1.0,10.0,0.0,99336.0,99336.0,99336.0,42,25,Intermittent light rain,0,0,0,1,0,Race circuit,Clockwise,5.451,56.0,305.066,99336.0,99336.0,99336.0,24,1,13,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +1.0,4,3,6.0,71,5352289.0,59.0,6.0,73150.0,212.062,alonso,14.0,Spanish,mclaren,British,2007,17,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,4.0,218.0,11.0,8.0,72895.0,72637.0,72356.0,43,26,"37 °C (Air), 63 °C (Track)",0,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,72356.0,72895.0,72629.33333333333,25,1,35,11,4,3,1,1,0,2,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +14.0,9,9,0.0,70,,22.0,13.0,74195.0,209.076,coulthard,68.0,British,red_bull,Austrian,2007,17,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,24.0,5.0,0.0,73264.0,72846.0,73272.0,53,36,"37 °C (Air), 63 °C (Track)",0,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,72846.0,73272.0,73127.33333333333,35,1,35,0,0,0,1,2,0,0,1,0,1,2,0,1,1,0,1,0,1,58.0,72.0,78.0,73.0,72.0 +23.0,20,14,0.0,68,,64.0,14.0,74329.0,208.699,davidson,87.0,British,super_aguri,Japanese,2007,17,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+3 Laps,0.0,4.0,9.0,0.0,74596.0,74596.0,74596.0,45,28,"37 °C (Air), 63 °C (Track)",0,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,74596.0,74596.0,74596.0,28,0,17,0,0,0,0,0,0,0,0,0,0,3,1,0,2,0,4,1,2,58.0,72.0,78.0,73.0,72.0 +2.0,2,7,2.0,70,,58.0,2.0,72506.0,213.946,hamilton,44.0,British,mclaren,British,2007,17,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,4.0,218.0,11.0,8.0,73033.0,72296.0,72082.0,39,22,"37 °C (Air), 63 °C (Track)",0,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,72082.0,73033.0,72470.33333333333,22,0,17,12,5,3,1,1,0,0,0,1,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +9.0,6,6,3.0,71,5366587.0,53.0,10.0,73452.0,211.19,heidfeld,43.0,German,bmw_sauber,German,2007,17,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,101.0,2.0,0.0,73472.0,72888.0,73081.0,47,30,"37 °C (Air), 63 °C (Track)",0,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,72888.0,73472.0,73147.0,29,1,35,2,1,1,5,2,3,1,0,0,0,0,0,0,1,1,0,0,1,58.0,72.0,78.0,73.0,72.0 +10.0,7,5,4.0,71,5366227.0,61.0,4.0,72686.0,213.416,kubica,88.0,Polish,bmw_sauber,German,2007,17,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,101.0,2.0,0.0,73085.0,72641.0,73129.0,40,23,"37 °C (Air), 63 °C (Track)",0,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,72641.0,73129.0,72951.66666666667,22,1,22,0,0,0,3,3,1,2,1,1,0,0,0,0,0,0,0,1,2,58.0,72.0,78.0,73.0,72.0 +18.0,14,13,0.0,69,,56.0,11.0,73643.0,210.643,liuzzi,29.0,Italian,toro_rosso,Italian,2007,17,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+2 Laps,0.0,8.0,7.0,0.0,73607.0,73251.0,73251.0,44,27,"37 °C (Air), 63 °C (Track)",0,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,73251.0,73607.0,73369.66666666667,26,1,35,0,0,0,0,0,1,0,0,1,0,0,1,0,2,1,1,4,0,58.0,72.0,78.0,73.0,72.0 +5.0,1,2,8.0,71,5296763.0,71.0,3.0,72584.0,213.716,massa,19.0,Brazilian,ferrari,Italian,2007,17,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,3.0,204.0,1.0,9.0,72303.0,72374.0,71931.0,43,26,"37 °C (Air), 63 °C (Track)",0,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,71931.0,72374.0,72202.66666666667,25,1,35,9,3,3,0,2,2,0,0,0,0,0,0,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +17.0,19,10,0.0,70,,69.0,5.0,73116.0,212.161,nakajima,48.0,Japanese,williams,British,2007,17,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,33.0,4.0,0.0,74417.0,74417.0,74417.0,39,22,"37 °C (Air), 63 °C (Track)",0,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,74417.0,74417.0,74417.0,22,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +6.0,3,1,10.0,71,5295270.0,66.0,1.0,72445.0,214.126,raikkonen,7.0,Finnish,ferrari,Italian,2007,17,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,5.0,204.0,1.0,9.0,73016.0,72161.0,72322.0,45,28,"37 °C (Air), 63 °C (Track)",0,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,72161.0,73016.0,72499.66666666667,27,1,35,11,2,4,1,1,0,0,1,0,0,0,0,0,1,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,15,11,0.0,70,,65.0,9.0,73368.0,211.432,ralf_schumacher,56.0,German,toyota,Japanese,2007,17,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,13.0,6.0,0.0,73767.0,73315.0,73315.0,49,32,"37 °C (Air), 63 °C (Track)",0,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,73315.0,73767.0,73465.66666666667,31,1,35,0,0,0,0,0,1,0,2,0,2,0,2,0,0,2,4,0,0,58.0,72.0,78.0,73.0,72.0 +16.0,10,4,5.0,71,5358118.0,56.0,7.0,73159.0,212.036,rosberg,6.0,German,williams,British,2007,17,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,33.0,4.0,0.0,73707.0,72752.0,73477.0,39,22,"37 °C (Air), 63 °C (Track)",0,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,72752.0,73707.0,73312.0,21,1,35,0,0,0,0,0,3,3,0,1,2,0,2,0,0,0,2,0,1,58.0,72.0,78.0,73.0,72.0 +22.0,18,12,0.0,69,,39.0,19.0,74914.0,207.069,sato,34.0,Japanese,super_aguri,Japanese,2007,17,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+2 Laps,0.0,4.0,9.0,0.0,74098.0,74098.0,74098.0,47,30,"37 °C (Air), 63 °C (Track)",0,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,74098.0,74098.0,74098.0,29,1,35,0,0,0,0,0,1,0,1,0,0,0,1,1,2,4,2,1,1,58.0,72.0,78.0,73.0,72.0 +12.0,8,8,1.0,70,,68.0,8.0,73361.0,211.452,trulli,75.0,Italian,toyota,Japanese,2007,17,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,13.0,6.0,0.0,73470.0,72832.0,73195.0,50,33,"37 °C (Air), 63 °C (Track)",0,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,72832.0,73470.0,73165.66666666667,32,1,35,0,0,0,0,0,1,2,0,1,1,2,0,4,0,1,1,1,0,58.0,72.0,78.0,73.0,72.0 +5.0,11,4,5.0,58,5707797.0,58.0,7.0,88603.0,215.464,alonso,14.0,Spanish,renault,French,2008,1,Australian Grand Prix,16200000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,5.0,4.0,0.0,86907.0,86188.0,86188.0,43,27,"Clear, dry, air temperature of 39 °C (102 °F).",1,0,1,0,0,Street circuit,Clockwise,5.278,58.0,306.124,86188.0,86907.0,86427.66666666667,25,2,36,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +22.0,1,1,10.0,58,5690616.0,39.0,2.0,87452.0,218.3,hamilton,44.0,British,mclaren,British,2008,1,Australian Grand Prix,16200000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,14.0,1.0,1.0,86572.0,85187.0,86714.0,39,23,"Clear, dry, air temperature of 39 °C (102 °F).",1,0,1,0,0,Street circuit,Clockwise,5.278,58.0,306.124,85187.0,86714.0,86157.66666666667,22,1,18,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +3.0,5,2,8.0,58,5696094.0,41.0,3.0,87739.0,217.586,heidfeld,43.0,German,bmw_sauber,German,2008,1,Australian Grand Prix,16200000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,8.0,3.0,0.0,85960.0,85518.0,87236.0,47,31,"Clear, dry, air temperature of 39 °C (102 °F).",1,0,1,0,0,Street circuit,Clockwise,5.278,58.0,306.124,85518.0,87236.0,86238.0,29,2,36,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +23.0,3,5,4.0,58,5708630.0,43.0,1.0,87418.0,218.385,kovalainen,52.0,Finnish,mclaren,British,2008,1,Australian Grand Prix,16200000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,14.0,1.0,1.0,85664.0,85452.0,87079.0,43,27,"Clear, dry, air temperature of 39 °C (102 °F).",1,0,1,0,0,Street circuit,Clockwise,5.278,58.0,306.124,85452.0,87079.0,86065.0,26,1,18,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,13,6,3.0,57,,50.0,14.0,89639.0,212.974,nakajima,48.0,Japanese,williams,British,2008,1,Australian Grand Prix,16200000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+1 Lap,0.0,9.0,2.0,0.0,86891.0,86413.0,86413.0,39,23,"Clear, dry, air temperature of 39 °C (102 °F).",1,0,1,0,0,Street circuit,Clockwise,5.278,58.0,306.124,86413.0,86891.0,86572.33333333333,22,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +7.0,7,3,6.0,58,5698779.0,41.0,5.0,88090.0,216.719,rosberg,6.0,German,williams,British,2008,1,Australian Grand Prix,16200000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,9.0,2.0,0.0,86295.0,86059.0,88687.0,39,23,"Clear, dry, air temperature of 39 °C (102 °F).",1,0,1,0,0,Street circuit,Clockwise,5.278,58.0,306.124,86059.0,88687.0,87013.66666666667,21,2,36,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +5.0,7,8,1.0,56,5548596.0,40.0,10.0,96288.0,207.24,alonso,14.0,Spanish,renault,French,2008,2,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,6.0,5.0,0.0,95983.0,95140.0,98450.0,43,27,"Sunny, partly cloudy",1,0,0,0,1,Race circuit,Clockwise,5.543,56.0,310.408,95140.0,98450.0,96524.33333333331,25,2,37,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +17.0,14,13,0.0,55,,55.0,11.0,96693.0,206.372,barrichello,96.0,Brazilian,honda,Japanese,2008,2,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+1 Lap,0.0,0.0,9.0,0.0,96198.0,95622.0,95622.0,52,36,"Sunny, partly cloudy",1,0,0,0,1,Race circuit,Clockwise,5.543,56.0,310.408,95622.0,96198.0,95814.0,34,2,37,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +16.0,11,10,0.0,56,5564769.0,56.0,4.0,95715.0,208.481,button,22.0,British,honda,Japanese,2008,2,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,0.0,9.0,0.0,95847.0,95208.0,95208.0,44,28,"Sunny, partly cloudy",1,0,0,0,1,Race circuit,Clockwise,5.543,56.0,310.408,95208.0,95847.0,95421.0,26,2,37,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,72.0,76.0,76.0,76.0,74.0 +9.0,12,9,0.0,56,5554775.0,55.0,9.0,96206.0,207.417,coulthard,68.0,British,red_bull,Austrian,2008,2,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,2.0,7.0,0.0,96058.0,95408.0,95408.0,53,37,"Sunny, partly cloudy",1,0,0,0,1,Race circuit,Clockwise,5.543,56.0,310.408,95408.0,96058.0,95624.66666666669,35,2,37,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +19.0,21,15,0.0,55,,55.0,18.0,98171.0,203.265,davidson,87.0,British,super_aguri,Japanese,2008,2,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+1 Lap,0.0,0.0,11.0,0.0,97481.0,97481.0,97481.0,45,29,"Sunny, partly cloudy",1,0,0,0,1,Race circuit,Clockwise,5.543,56.0,310.408,97481.0,97481.0,97481.0,28,1,19,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +21.0,17,12,0.0,55,,52.0,16.0,96962.0,205.8,fisichella,84.0,Italian,force_india,Indian,2008,2,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+1 Lap,0.0,0.0,10.0,0.0,96240.0,96240.0,96240.0,51,35,"Sunny, partly cloudy",1,0,0,0,1,Race circuit,Clockwise,5.543,56.0,310.408,96240.0,96240.0,96240.0,33,2,37,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +22.0,9,5,4.0,56,5525103.0,53.0,3.0,95462.0,209.033,hamilton,44.0,British,mclaren,British,2008,2,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,1.0,24.0,1.0,1.0,95392.0,94627.0,96709.0,39,23,"Sunny, partly cloudy",1,0,0,0,1,Race circuit,Clockwise,5.543,56.0,310.408,94627.0,96709.0,95576.0,22,1,19,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +3.0,5,6,3.0,56,5528388.0,55.0,1.0,95366.0,209.244,heidfeld,43.0,German,bmw_sauber,German,2008,2,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,19.0,2.0,0.0,95729.0,94648.0,96753.0,47,31,"Sunny, partly cloudy",1,0,0,0,1,Race circuit,Clockwise,5.543,56.0,310.408,94648.0,96753.0,95710.0,29,2,37,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +23.0,8,3,6.0,56,5517005.0,19.0,7.0,95922.0,208.031,kovalainen,52.0,Finnish,mclaren,British,2008,2,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,24.0,1.0,1.0,95227.0,94759.0,96613.0,43,27,"Sunny, partly cloudy",1,0,0,0,1,Race circuit,Clockwise,5.543,56.0,310.408,94759.0,96613.0,95533.0,26,1,19,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +4.0,4,2,8.0,56,5498125.0,39.0,6.0,95921.0,208.033,kubica,88.0,Polish,bmw_sauber,German,2008,2,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,19.0,2.0,0.0,95794.0,94811.0,96727.0,40,24,"Sunny, partly cloudy",1,0,0,0,1,Race circuit,Clockwise,5.543,56.0,310.408,94811.0,96727.0,95777.33333333331,22,2,24,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,22,17,0.0,54,,19.0,17.0,97711.0,204.222,nakajima,48.0,Japanese,williams,British,2008,2,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+2 Laps,0.0,9.0,4.0,0.0,96388.0,96388.0,96388.0,39,23,"Sunny, partly cloudy",1,0,0,0,1,Race circuit,Clockwise,5.543,56.0,310.408,96388.0,96388.0,96388.0,22,1,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +6.0,13,11,0.0,56,5570757.0,52.0,15.0,96956.0,205.812,piquet_jr,56.0,Brazilian,renault,French,2008,2,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,6.0,5.0,0.0,96074.0,95562.0,95562.0,39,23,"Sunny, partly cloudy",1,0,0,0,1,Race circuit,Clockwise,5.543,56.0,310.408,95562.0,96074.0,95732.66666666669,23,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +1.0,2,1,10.0,56,5478555.0,37.0,2.0,95405.0,209.158,raikkonen,7.0,Finnish,ferrari,Italian,2008,2,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,11.0,3.0,1.0,95645.0,94188.0,96230.0,45,29,"Sunny, partly cloudy",1,0,0,0,1,Race circuit,Clockwise,5.543,56.0,310.408,94188.0,96230.0,95354.33333333331,27,2,37,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +7.0,16,14,0.0,55,,55.0,13.0,96782.0,206.182,rosberg,6.0,German,williams,British,2008,2,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+1 Lap,0.0,9.0,4.0,0.0,95843.0,95670.0,95670.0,39,23,"Sunny, partly cloudy",1,0,0,0,1,Race circuit,Clockwise,5.543,56.0,310.408,95670.0,95843.0,95727.66666666669,21,2,37,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +18.0,19,16,0.0,54,,53.0,19.0,98504.0,202.578,sato,34.0,Japanese,super_aguri,Japanese,2008,2,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+2 Laps,0.0,0.0,11.0,0.0,97087.0,97087.0,97087.0,47,31,"Sunny, partly cloudy",1,0,0,0,1,Race circuit,Clockwise,5.543,56.0,310.408,97087.0,97087.0,97087.0,29,2,37,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +11.0,3,4,5.0,56,5524387.0,53.0,8.0,96068.0,207.715,trulli,75.0,Italian,toyota,Japanese,2008,2,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,5.0,6.0,0.0,95205.0,94960.0,96711.0,50,34,"Sunny, partly cloudy",1,0,0,0,1,Race circuit,Clockwise,5.543,56.0,310.408,94960.0,96711.0,95625.33333333331,32,2,37,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +10.0,6,7,2.0,56,5546685.0,53.0,12.0,96696.0,206.366,webber,91.0,Australian,red_bull,Austrian,2008,2,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,2.0,7.0,0.0,95440.0,94967.0,97009.0,48,32,"Sunny, partly cloudy",1,0,0,0,1,Race circuit,Clockwise,5.543,56.0,310.408,94967.0,97009.0,95805.33333333331,30,2,37,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +5.0,10,10,0.0,57,5544151.0,35.0,13.0,95194.0,204.668,alonso,14.0,Spanish,renault,French,2008,3,Bahrain Grand Prix,41400000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,6.0,6.0,0.0,92947.0,92345.0,95115.0,43,27,Dry,0,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,92345.0,95115.0,93469.0,25,2,38,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +17.0,12,11,0.0,57,5544832.0,40.0,10.0,94855.0,205.399,barrichello,96.0,Brazilian,honda,Japanese,2008,3,Bahrain Grand Prix,41400000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,0.0,9.0,0.0,92944.0,92508.0,92508.0,52,36,Dry,0,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,92508.0,92944.0,92653.33333333331,34,2,38,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +14.0,15,15,0.0,56,,33.0,15.0,95333.0,204.369,bourdais,39.0,French,toro_rosso,Italian,2008,3,Bahrain Grand Prix,41400000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,2.0,8.0,0.0,93415.0,92915.0,92915.0,45,29,Dry,0,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,92915.0,93415.0,93081.66666666669,29,0,3,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +9.0,17,18,0.0,56,,43.0,16.0,95351.0,204.331,coulthard,68.0,British,red_bull,Austrian,2008,3,Bahrain Grand Prix,41400000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,4.0,7.0,0.0,93433.0,93433.0,93433.0,53,37,Dry,0,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,93433.0,93433.0,93433.0,35,2,38,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +19.0,21,16,0.0,56,,45.0,14.0,95324.0,204.389,davidson,87.0,British,super_aguri,Japanese,2008,3,Bahrain Grand Prix,41400000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,0.0,11.0,0.0,94140.0,94140.0,94140.0,45,29,Dry,0,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,94140.0,94140.0,94140.0,28,1,20,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +21.0,18,12,0.0,56,,56.0,11.0,95057.0,204.963,fisichella,84.0,Italian,force_india,Indian,2008,3,Bahrain Grand Prix,41400000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,0.0,10.0,0.0,93501.0,93501.0,93501.0,51,35,Dry,0,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,93501.0,93501.0,93501.0,33,2,38,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +12.0,13,9,0.0,57,5536470.0,56.0,9.0,94807.0,205.503,glock,65.0,German,toyota,Japanese,2008,3,Bahrain Grand Prix,41400000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,8.0,5.0,0.0,92800.0,92528.0,92528.0,42,26,Dry,0,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,92528.0,92800.0,92618.66666666669,26,0,3,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +22.0,3,13,0.0,56,,25.0,19.0,95520.0,203.969,hamilton,44.0,British,mclaren,British,2008,3,Bahrain Grand Prix,41400000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,1.0,28.0,3.0,1.0,92750.0,91922.0,93292.0,39,23,Dry,0,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,91922.0,93292.0,92654.66666666669,22,1,20,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +3.0,6,4,5.0,57,5475379.0,48.0,2.0,93565.0,208.231,heidfeld,43.0,German,bmw_sauber,German,2008,3,Bahrain Grand Prix,41400000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,30.0,1.0,0.0,93137.0,91909.0,93737.0,47,31,Dry,0,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,91909.0,93737.0,92927.66666666669,29,2,38,1,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +23.0,5,5,4.0,57,5493759.0,49.0,1.0,93193.0,209.062,kovalainen,52.0,Finnish,mclaren,British,2008,3,Bahrain Grand Prix,41400000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,28.0,3.0,1.0,93057.0,91718.0,93488.0,43,27,Dry,0,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,91718.0,93488.0,92754.33333333331,26,1,20,1,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +4.0,1,3,6.0,57,5471968.0,55.0,5.0,93775.0,207.765,kubica,88.0,Polish,bmw_sauber,German,2008,3,Bahrain Grand Prix,41400000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,30.0,1.0,0.0,92893.0,91745.0,93096.0,40,24,Dry,0,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,91745.0,93096.0,92578.0,22,2,25,1,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +2.0,2,1,10.0,57,5466970.0,38.0,3.0,93600.0,208.153,massa,19.0,Brazilian,ferrari,Italian,2008,3,Bahrain Grand Prix,41400000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,29.0,2.0,2.0,91937.0,91188.0,93123.0,43,27,Dry,0,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,91188.0,93123.0,92082.66666666669,25,2,38,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +8.0,16,14,0.0,56,,30.0,17.0,95433.0,204.155,nakajima,48.0,Japanese,williams,British,2008,3,Bahrain Grand Prix,41400000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,10.0,4.0,0.0,93386.0,92943.0,92943.0,39,23,Dry,0,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,92943.0,93386.0,93090.66666666669,22,1,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +1.0,4,2,8.0,57,5470309.0,35.0,4.0,93709.0,207.911,raikkonen,7.0,Finnish,ferrari,Italian,2008,3,Bahrain Grand Prix,41400000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,1.0,29.0,2.0,2.0,92652.0,91933.0,93418.0,45,29,Dry,0,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,91933.0,93418.0,92667.66666666669,27,2,38,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +7.0,8,8,1.0,57,5522859.0,57.0,6.0,94072.0,207.109,rosberg,6.0,German,williams,British,2008,3,Bahrain Grand Prix,41400000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,10.0,4.0,0.0,92903.0,92185.0,94015.0,39,23,Dry,0,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,92185.0,94015.0,93034.33333333331,21,2,38,1,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +18.0,22,17,0.0,56,,56.0,20.0,95891.0,203.18,sato,34.0,Japanese,super_aguri,Japanese,2008,3,Bahrain Grand Prix,41400000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,0.0,11.0,0.0,95725.0,95725.0,95725.0,47,31,Dry,0,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,95725.0,95725.0,95725.0,29,2,38,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +20.0,20,19,0.0,56,,55.0,18.0,95442.0,204.136,sutil,99.0,German,force_india,Indian,2008,3,Bahrain Grand Prix,41400000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+2 Laps,0.0,0.0,10.0,0.0,93845.0,93845.0,93845.0,41,25,Dry,0,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,93845.0,93845.0,93845.0,24,1,20,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,7,6,3.0,57,5508284.0,45.0,7.0,94204.0,206.819,trulli,75.0,Italian,toyota,Japanese,2008,3,Bahrain Grand Prix,41400000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,8.0,5.0,0.0,92493.0,92159.0,93994.0,50,34,Dry,0,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,92159.0,93994.0,92882.0,32,2,38,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +10.0,11,7,2.0,57,5512443.0,51.0,8.0,94305.0,206.597,webber,91.0,Australian,red_bull,Austrian,2008,3,Bahrain Grand Prix,41400000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,4.0,7.0,0.0,93194.0,92371.0,92371.0,48,32,Dry,0,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,92371.0,93194.0,92645.33333333331,30,2,38,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +16.0,13,6,3.0,66,5952061.0,66.0,5.0,82353.0,203.489,button,22.0,British,honda,Japanese,2008,4,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,3.0,8.0,0.0,81757.0,81211.0,81211.0,44,28,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,81211.0,81757.0,81393.0,26,2,39,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,72.0,76.0,76.0,76.0,74.0 +9.0,17,12,0.0,65,,57.0,11.0,82842.0,202.288,coulthard,68.0,British,red_bull,Austrian,2008,4,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,8.0,6.0,0.0,81810.0,81810.0,81810.0,53,37,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,81810.0,81810.0,81810.0,35,2,39,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,1,72.0,76.0,76.0,76.0,74.0 +21.0,19,10,0.0,65,,40.0,14.0,83439.0,200.841,fisichella,84.0,Italian,force_india,Indian,2008,4,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,0.0,10.0,0.0,82516.0,82516.0,82516.0,51,35,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,82516.0,82516.0,82516.0,33,2,39,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +12.0,14,11,0.0,65,,57.0,12.0,83007.0,201.886,glock,65.0,German,toyota,Japanese,2008,4,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,9.0,5.0,0.0,81427.0,81230.0,81230.0,42,26,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,81230.0,81427.0,81295.66666666667,26,0,4,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +22.0,5,3,6.0,66,5903238.0,20.0,3.0,82017.0,204.323,hamilton,44.0,British,mclaren,British,2008,4,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,1.0,34.0,3.0,1.0,81366.0,80825.0,82096.0,39,23,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,80825.0,82096.0,81429.0,22,1,21,1,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +3.0,9,9,0.0,66,5962124.0,21.0,7.0,82519.0,203.08,heidfeld,43.0,German,bmw_sauber,German,2008,4,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,35.0,2.0,0.0,81466.0,80815.0,82542.0,47,31,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,80815.0,82542.0,81607.66666666667,29,2,39,1,1,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +4.0,4,4,5.0,66,5904745.0,20.0,4.0,82106.0,204.102,kubica,88.0,Polish,bmw_sauber,German,2008,4,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,35.0,2.0,0.0,81423.0,80597.0,82065.0,40,24,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,80597.0,82065.0,81361.66666666667,22,2,26,2,1,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +2.0,3,2,8.0,66,5902279.0,45.0,2.0,81801.0,204.863,massa,19.0,Brazilian,ferrari,Italian,2008,4,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,1.0,47.0,1.0,3.0,81528.0,80584.0,82058.0,43,27,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,80584.0,82058.0,81390.0,25,2,39,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +8.0,12,7,2.0,66,5957295.0,48.0,15.0,83549.0,200.576,nakajima,48.0,Japanese,williams,British,2008,4,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,12.0,4.0,0.0,81690.0,81117.0,81117.0,39,23,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,81117.0,81690.0,81308.0,22,1,5,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +1.0,1,1,10.0,66,5899051.0,46.0,1.0,81670.0,205.191,raikkonen,7.0,Finnish,ferrari,Italian,2008,4,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,1.0,47.0,1.0,3.0,80701.0,80784.0,81813.0,45,29,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,80701.0,81813.0,81099.33333333333,27,2,39,2,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +18.0,22,13,0.0,65,,34.0,17.0,84617.0,198.045,sato,34.0,Japanese,super_aguri,Japanese,2008,4,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,0.0,11.0,0.0,83496.0,83496.0,83496.0,47,31,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,83496.0,83496.0,83496.0,29,2,39,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,1,0,72.0,76.0,76.0,76.0,74.0 +11.0,8,8,1.0,66,5958486.0,45.0,10.0,82758.0,202.494,trulli,75.0,Italian,toyota,Japanese,2008,4,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,9.0,5.0,0.0,81158.0,80907.0,82529.0,50,34,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,80907.0,82529.0,81531.33333333333,32,2,39,0,0,0,1,0,1,0,0,0,0,0,0,0,0,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +10.0,7,5,4.0,66,5934989.0,19.0,8.0,82564.0,202.969,webber,91.0,Australian,red_bull,Austrian,2008,4,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,8.0,6.0,0.0,81494.0,80984.0,82429.0,48,32,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,80984.0,82429.0,81635.66666666667,30,2,39,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +5.0,7,6,3.0,58,5263175.0,57.0,6.0,87280.0,220.174,alonso,14.0,Spanish,renault,French,2008,5,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,0.0,9.0,7.0,0.0,86836.0,86522.0,88422.0,43,27,Sunny with temperatures reaching up to 17 °C (63 °F)[3],1,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,86522.0,88422.0,87260.0,25,2,40,0,0,0,1,0,0,0,1,0,1,0,0,0,0,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +17.0,12,14,0.0,57,,56.0,14.0,88017.0,218.33,barrichello,96.0,Brazilian,honda,Japanese,2008,5,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,+1 Lap,0.0,3.0,8.0,0.0,87355.0,87219.0,87219.0,52,36,Sunny with temperatures reaching up to 17 °C (63 °F)[3],1,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,87219.0,87355.0,87264.33333333333,34,2,40,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +16.0,13,11,0.0,57,,57.0,13.0,87998.0,218.377,button,22.0,British,honda,Japanese,2008,5,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,+1 Lap,0.0,3.0,8.0,0.0,87428.0,87298.0,87298.0,44,28,Sunny with temperatures reaching up to 17 °C (63 °F)[3],1,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,87298.0,87428.0,87341.33333333333,26,2,40,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,1,72.0,76.0,76.0,76.0,74.0 +9.0,10,9,0.0,58,5284721.0,41.0,12.0,87966.0,218.457,coulthard,68.0,British,red_bull,Austrian,2008,5,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,0.0,10.0,5.0,0.0,86939.0,86520.0,89959.0,53,37,Sunny with temperatures reaching up to 17 °C (63 °F)[3],1,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,86520.0,89959.0,87806.0,35,2,40,0,0,0,0,0,0,0,0,1,0,0,1,0,1,0,0,0,1,72.0,76.0,76.0,76.0,74.0 +12.0,15,13,0.0,57,,28.0,16.0,88303.0,217.623,glock,65.0,German,toyota,Japanese,2008,5,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,+1 Lap,0.0,9.0,6.0,0.0,86614.0,87806.0,87806.0,42,26,Sunny with temperatures reaching up to 17 °C (63 °F)[3],1,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,86614.0,87806.0,87408.66666666667,26,0,5,0,0,0,0,0,0,0,0,1,1,1,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +22.0,3,2,8.0,58,5213230.0,31.0,2.0,86529.0,222.085,hamilton,44.0,British,mclaren,British,2008,5,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,1.0,42.0,3.0,1.0,86192.0,86477.0,87923.0,39,23,Sunny with temperatures reaching up to 17 °C (63 °F)[3],1,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,86192.0,87923.0,86864.0,22,1,22,2,0,1,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +3.0,9,5,4.0,58,5248192.0,20.0,5.0,87219.0,220.328,heidfeld,43.0,German,bmw_sauber,German,2008,5,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,0.0,44.0,2.0,0.0,87107.0,87607.0,88882.0,47,31,Sunny with temperatures reaching up to 17 °C (63 °F)[3],1,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,87107.0,88882.0,87865.33333333333,29,2,40,1,1,0,1,0,1,0,0,1,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +23.0,2,12,0.0,57,,55.0,8.0,87640.0,219.269,kovalainen,52.0,Finnish,mclaren,British,2008,5,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,+1 Lap,0.0,42.0,3.0,1.0,86736.0,86290.0,87808.0,43,27,Sunny with temperatures reaching up to 17 °C (63 °F)[3],1,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,86290.0,87808.0,86944.66666666667,26,1,22,1,0,1,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +4.0,5,4,5.0,58,5231396.0,17.0,4.0,86780.0,221.442,kubica,88.0,Polish,bmw_sauber,German,2008,5,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,0.0,44.0,2.0,0.0,86761.0,86129.0,88390.0,40,24,Sunny with temperatures reaching up to 17 °C (63 °F)[3],1,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,86129.0,88390.0,87093.33333333333,22,2,27,2,1,1,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +2.0,1,1,10.0,58,5209451.0,16.0,3.0,86666.0,221.734,massa,19.0,Brazilian,ferrari,Italian,2008,5,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,1.0,63.0,1.0,4.0,85994.0,86192.0,87617.0,43,27,Sunny with temperatures reaching up to 17 °C (63 °F)[3],1,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,85994.0,87617.0,86601.0,25,2,40,2,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +6.0,17,15,0.0,57,,40.0,10.0,87867.0,218.703,piquet_jr,56.0,Brazilian,renault,French,2008,5,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,+1 Lap,0.0,9.0,7.0,0.0,87568.0,87568.0,87568.0,39,23,Sunny with temperatures reaching up to 17 °C (63 °F)[3],1,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,87568.0,87568.0,87568.0,23,0,5,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +1.0,4,3,6.0,58,5213722.0,20.0,1.0,86506.0,222.144,raikkonen,7.0,Finnish,ferrari,Italian,2008,5,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,2.0,63.0,1.0,4.0,86457.0,86050.0,87936.0,45,29,Sunny with temperatures reaching up to 17 °C (63 °F)[3],1,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,86050.0,87936.0,86814.33333333333,27,2,40,3,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +7.0,11,8,1.0,58,5280857.0,55.0,9.0,87795.0,218.882,rosberg,6.0,German,williams,British,2008,5,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,0.0,13.0,4.0,0.0,87367.0,87012.0,87012.0,39,23,Sunny with temperatures reaching up to 17 °C (63 °F)[3],1,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,87012.0,87367.0,87130.33333333333,21,2,40,1,0,1,0,0,0,0,1,0,0,0,0,0,2,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +20.0,19,16,0.0,57,,35.0,18.0,88780.0,216.454,sutil,99.0,German,force_india,Indian,2008,5,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,+1 Lap,0.0,0.0,10.0,0.0,88325.0,88325.0,88325.0,41,25,Sunny with temperatures reaching up to 17 °C (63 °F)[3],1,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,88325.0,88325.0,88325.0,24,1,22,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,8,10,0.0,58,5285795.0,52.0,11.0,87926.0,218.556,trulli,75.0,Italian,toyota,Japanese,2008,5,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,0.0,9.0,6.0,0.0,86695.0,86822.0,88836.0,50,34,Sunny with temperatures reaching up to 17 °C (63 °F)[3],1,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,86695.0,88836.0,87451.0,32,2,40,0,0,0,1,0,1,0,1,0,0,0,0,0,0,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +15.0,14,17,0.0,57,,38.0,15.0,88180.0,217.926,vettel,5.0,German,toro_rosso,Italian,2008,5,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,+1 Lap,0.0,2.0,9.0,0.0,87442.0,87412.0,87412.0,37,21,Sunny with temperatures reaching up to 17 °C (63 °F)[3],1,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,87412.0,87442.0,87422.0,20,1,13,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +10.0,6,7,2.0,58,5273680.0,14.0,7.0,87630.0,219.294,webber,91.0,Australian,red_bull,Austrian,2008,5,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,0.0,10.0,5.0,0.0,86773.0,86466.0,88417.0,48,32,Sunny with temperatures reaching up to 17 °C (63 °F)[3],1,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,86466.0,88417.0,87218.66666666667,30,2,40,0,0,0,0,1,0,2,0,0,0,0,0,0,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +5.0,7,10,0.0,75,,73.0,3.0,77869.0,154.413,alonso,14.0,Spanish,renault,French,2008,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,9.0,7.0,0.0,76646.0,75827.0,76852.0,43,27,"Wet, drying later.",0,0,1,1,0,Street circuit,Clockwise,3.337,78.0,260.286,75827.0,76852.0,76441.66666666667,25,2,41,0,0,0,1,0,1,0,1,0,1,0,0,0,0,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +17.0,14,6,3.0,76,7271150.0,75.0,9.0,79574.0,151.104,barrichello,96.0,Brazilian,honda,Japanese,2008,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,6.0,9.0,0.0,76208.0,76537.0,76537.0,52,36,"Wet, drying later.",0,0,1,1,0,Street circuit,Clockwise,3.337,78.0,260.286,76208.0,76537.0,76427.33333333333,34,2,41,0,0,0,0,0,0,0,0,0,0,1,0,1,1,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +16.0,11,11,0.0,75,,74.0,10.0,79582.0,151.089,button,22.0,British,honda,Japanese,2008,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,6.0,9.0,0.0,76259.0,76101.0,76101.0,44,28,"Wet, drying later.",0,0,1,1,0,Street circuit,Clockwise,3.337,78.0,260.286,76101.0,76259.0,76153.66666666667,26,2,41,0,0,0,0,0,1,0,0,0,1,1,0,0,0,0,0,0,1,72.0,76.0,76.0,76.0,74.0 +12.0,10,12,0.0,75,,75.0,11.0,79618.0,151.021,glock,65.0,German,toyota,Japanese,2008,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,9.0,6.0,0.0,76285.0,75907.0,75907.0,42,26,"Wet, drying later.",0,0,1,1,0,Street circuit,Clockwise,3.337,78.0,260.286,75907.0,76285.0,76033.0,26,0,6,0,0,0,0,0,0,0,0,1,1,1,0,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +22.0,3,1,10.0,76,7242742.0,71.0,6.0,78510.0,153.152,hamilton,44.0,British,mclaren,British,2008,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,1.0,53.0,2.0,2.0,75582.0,75322.0,75839.0,39,23,"Wet, drying later.",0,0,1,1,0,Street circuit,Clockwise,3.337,78.0,260.286,75322.0,75839.0,75581.0,22,1,23,3,1,1,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +3.0,12,14,0.0,72,,72.0,14.0,80251.0,149.829,heidfeld,43.0,German,bmw_sauber,German,2008,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+4 Laps,0.0,52.0,3.0,0.0,76650.0,76455.0,76455.0,47,31,"Wet, drying later.",0,0,1,1,0,Street circuit,Clockwise,3.337,78.0,260.286,76455.0,76650.0,76520.0,29,2,41,1,1,0,1,1,1,0,0,1,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +23.0,4,8,1.0,76,7275933.0,74.0,2.0,77282.0,155.586,kovalainen,52.0,Finnish,mclaren,British,2008,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,53.0,2.0,2.0,75295.0,75389.0,76165.0,43,27,"Wet, drying later.",0,0,1,1,0,Street circuit,Clockwise,3.337,78.0,260.286,75295.0,76165.0,75616.33333333333,26,1,23,1,0,1,0,2,0,0,0,0,0,0,1,0,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +4.0,5,2,8.0,76,7245806.0,75.0,5.0,77933.0,154.286,kubica,88.0,Polish,bmw_sauber,German,2008,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,52.0,3.0,0.0,75977.0,75483.0,76171.0,40,24,"Wet, drying later.",0,0,1,1,0,Street circuit,Clockwise,3.337,78.0,260.286,75483.0,76171.0,75877.0,22,2,28,2,1,1,2,0,0,0,0,1,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +2.0,1,3,6.0,76,7247553.0,76.0,4.0,77886.0,154.379,massa,19.0,Brazilian,ferrari,Italian,2008,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,2.0,69.0,1.0,4.0,75190.0,75110.0,75787.0,43,27,"Wet, drying later.",0,0,1,1,0,Street circuit,Clockwise,3.337,78.0,260.286,75110.0,75787.0,75362.33333333333,25,2,41,3,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +8.0,13,7,2.0,76,7272922.0,75.0,13.0,79910.0,150.469,nakajima,48.0,Japanese,williams,British,2008,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,15.0,4.0,0.0,76756.0,76479.0,76479.0,39,23,"Wet, drying later.",0,0,1,1,0,Street circuit,Clockwise,3.337,78.0,260.286,76479.0,76756.0,76571.33333333333,22,1,7,0,0,0,0,0,1,1,0,0,0,0,0,0,1,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +1.0,2,9,0.0,76,7276534.0,74.0,1.0,76689.0,156.789,raikkonen,7.0,Finnish,ferrari,Italian,2008,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,2.0,69.0,1.0,4.0,75717.0,75404.0,75815.0,45,29,"Wet, drying later.",0,0,1,1,0,Street circuit,Clockwise,3.337,78.0,260.286,75404.0,75815.0,75645.33333333333,27,2,41,4,1,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +11.0,8,13,0.0,75,,75.0,12.0,79830.0,150.62,trulli,75.0,Italian,toyota,Japanese,2008,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,9.0,6.0,0.0,76306.0,75598.0,77203.0,50,34,"Wet, drying later.",0,0,1,1,0,Street circuit,Clockwise,3.337,78.0,260.286,75598.0,77203.0,76369.0,32,2,41,0,0,0,1,0,1,0,1,0,1,0,0,0,0,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +15.0,19,5,4.0,76,7267399.0,74.0,7.0,78787.0,152.614,vettel,5.0,German,toro_rosso,Italian,2008,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,6.0,8.0,0.0,76955.0,76955.0,76955.0,37,21,"Wet, drying later.",0,0,1,1,0,Street circuit,Clockwise,3.337,78.0,260.286,76955.0,76955.0,76955.0,20,1,14,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,58.0,72.0,78.0,73.0,72.0 +10.0,9,4,5.0,76,7262037.0,74.0,8.0,79036.0,152.133,webber,91.0,Australian,red_bull,Austrian,2008,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,15.0,5.0,0.0,76074.0,75745.0,77343.0,48,32,"Wet, drying later.",0,0,1,1,0,Street circuit,Clockwise,3.337,78.0,260.286,75745.0,77343.0,76387.33333333333,30,2,41,0,0,0,0,1,0,3,0,0,0,0,0,0,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +17.0,9,7,2.0,70,5837824.0,35.0,10.0,78301.0,200.503,barrichello,96.0,Brazilian,honda,Japanese,2008,7,Canadian Grand Prix,61200000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,8.0,8.0,0.0,78256.0,78020.0,80848.0,52,36,Hot with temperatures approaching 31 °C (88 °F); wind speeds up to 8.9 kilometres per hour (5.5 mph)[1],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,78020.0,80848.0,79041.33333333333,34,2,42,0,0,0,0,0,1,0,0,0,0,1,0,1,1,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +14.0,18,13,0.0,69,,34.0,13.0,78620.0,199.689,bourdais,39.0,French,toro_rosso,Italian,2008,7,Canadian Grand Prix,61200000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,7.0,9.0,0.0,78916.0,78916.0,78916.0,45,29,Hot with temperatures approaching 31 °C (88 °F); wind speeds up to 8.9 kilometres per hour (5.5 mph)[1],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,78916.0,78916.0,78916.0,29,0,7,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,1,58.0,72.0,78.0,73.0,72.0 +16.0,20,11,0.0,70,5851767.0,58.0,19.0,79352.0,197.847,button,22.0,British,honda,Japanese,2008,7,Canadian Grand Prix,61200000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,8.0,8.0,0.0,83565.0,83565.0,83565.0,44,28,Hot with temperatures approaching 31 °C (88 °F); wind speeds up to 8.9 kilometres per hour (5.5 mph)[1],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,83565.0,83565.0,83565.0,26,2,42,0,0,0,0,0,1,0,0,0,1,2,0,0,0,0,0,0,1,72.0,76.0,76.0,76.0,74.0 +9.0,13,3,6.0,70,5807579.0,36.0,7.0,78085.0,201.057,coulthard,68.0,British,red_bull,Austrian,2008,7,Canadian Grand Prix,61200000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,21.0,4.0,0.0,78168.0,78238.0,78238.0,53,37,Hot with temperatures approaching 31 °C (88 °F); wind speeds up to 8.9 kilometres per hour (5.5 mph)[1],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,78168.0,78238.0,78214.66666666667,35,2,42,0,0,0,0,0,0,0,0,2,0,0,1,0,1,0,0,0,1,72.0,76.0,76.0,76.0,74.0 +12.0,11,4,5.0,70,5826854.0,31.0,17.0,79087.0,198.51,glock,65.0,German,toyota,Japanese,2008,7,Canadian Grand Prix,61200000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,17.0,5.0,0.0,78321.0,78031.0,78031.0,42,26,Hot with temperatures approaching 31 °C (88 °F); wind speeds up to 8.9 kilometres per hour (5.5 mph)[1],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,78031.0,78321.0,78127.66666666667,26,0,7,0,0,0,0,0,0,0,0,1,1,1,1,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +3.0,8,2,8.0,70,5800722.0,25.0,2.0,77430.0,202.758,heidfeld,43.0,German,bmw_sauber,German,2008,7,Canadian Grand Prix,61200000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,70.0,2.0,1.0,78082.0,77781.0,79633.0,47,31,Hot with temperatures approaching 31 °C (88 °F); wind speeds up to 8.9 kilometres per hour (5.5 mph)[1],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,77781.0,79633.0,78498.66666666667,29,2,42,1,1,0,1,1,1,0,0,1,0,0,0,0,1,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +23.0,7,9,0.0,70,5838660.0,62.0,11.0,78462.0,200.091,kovalainen,52.0,Finnish,mclaren,British,2008,7,Canadian Grand Prix,61200000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,53.0,3.0,2.0,77287.0,77684.0,79089.0,43,27,Hot with temperatures approaching 31 °C (88 °F); wind speeds up to 8.9 kilometres per hour (5.5 mph)[1],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,77287.0,79089.0,78020.0,26,1,24,1,0,1,0,2,0,0,1,0,0,0,1,0,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +4.0,2,1,10.0,70,5784227.0,47.0,4.0,77539.0,202.473,kubica,88.0,Polish,bmw_sauber,German,2008,7,Canadian Grand Prix,61200000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,70.0,2.0,1.0,77471.0,77679.0,78498.0,40,24,Hot with temperatures approaching 31 °C (88 °F); wind speeds up to 8.9 kilometres per hour (5.5 mph)[1],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,77471.0,78498.0,77882.66666666667,22,2,29,3,2,1,2,0,0,0,0,1,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +2.0,6,5,4.0,70,5828161.0,11.0,6.0,78006.0,201.261,massa,19.0,Brazilian,ferrari,Italian,2008,7,Canadian Grand Prix,61200000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,2.0,73.0,1.0,4.0,77231.0,77353.0,79048.0,43,27,Hot with temperatures approaching 31 °C (88 °F); wind speeds up to 8.9 kilometres per hour (5.5 mph)[1],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,77231.0,79048.0,77877.33333333333,25,2,42,4,1,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +7.0,5,10,0.0,70,5838976.0,14.0,5.0,77977.0,201.336,rosberg,6.0,German,williams,British,2008,7,Canadian Grand Prix,61200000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,15.0,6.0,0.0,77991.0,77891.0,78844.0,39,23,Hot with temperatures approaching 31 °C (88 °F); wind speeds up to 8.9 kilometres per hour (5.5 mph)[1],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,77891.0,78844.0,78242.0,21,2,42,1,0,1,0,0,0,0,2,0,0,0,0,0,2,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +11.0,14,6,3.0,70,5832002.0,38.0,15.0,78870.0,199.056,trulli,75.0,Italian,toyota,Japanese,2008,7,Canadian Grand Prix,61200000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,17.0,5.0,0.0,78039.0,78327.0,78327.0,50,34,Hot with temperatures approaching 31 °C (88 °F); wind speeds up to 8.9 kilometres per hour (5.5 mph)[1],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,78039.0,78327.0,78231.0,32,2,42,0,0,0,1,0,1,0,1,0,1,0,0,1,0,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +15.0,19,8,1.0,70,5838347.0,33.0,12.0,78532.0,199.913,vettel,5.0,German,toro_rosso,Italian,2008,7,Canadian Grand Prix,61200000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,7.0,9.0,0.0,83565.0,83565.0,83565.0,37,21,Hot with temperatures approaching 31 °C (88 °F); wind speeds up to 8.9 kilometres per hour (5.5 mph)[1],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,83565.0,83565.0,83565.0,20,1,15,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,1,58.0,72.0,78.0,73.0,72.0 +10.0,10,12,0.0,70,5855526.0,51.0,8.0,78201.0,200.759,webber,91.0,Australian,red_bull,Austrian,2008,7,Canadian Grand Prix,61200000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,21.0,4.0,0.0,77582.0,77523.0,77523.0,48,32,Hot with temperatures approaching 31 °C (88 °F); wind speeds up to 8.9 kilometres per hour (5.5 mph)[1],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,77523.0,77582.0,77542.66666666667,30,2,42,0,0,0,1,1,0,3,0,0,0,0,0,0,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +5.0,3,8,1.0,70,5553617.0,39.0,8.0,77641.0,204.525,alonso,14.0,Spanish,renault,French,2008,8,French Grand Prix,43200000.0,magny_cours,Magny Cours,France,46.8642,3.16361,228.0,Finished,0.0,12.0,7.0,0.0,75754.0,75483.0,76840.0,43,27,Dry at first; light rain in the final stages,0,0,1,1,0,Race circuit,Clockwise,4.411,72.0,306.0,75483.0,76840.0,76025.66666666667,25,2,43,0,0,0,1,0,1,0,1,0,2,0,0,0,0,1,1,0,0,72.0,76.0,76.0,76.0,74.0 +17.0,20,14,0.0,69,,54.0,14.0,77969.0,203.665,barrichello,96.0,Brazilian,honda,Japanese,2008,8,French Grand Prix,43200000.0,magny_cours,Magny Cours,France,46.8642,3.16361,228.0,+1 Lap,0.0,8.0,8.0,0.0,76330.0,76330.0,76330.0,52,36,Dry at first; light rain in the final stages,0,0,1,1,0,Race circuit,Clockwise,4.411,72.0,306.0,76330.0,76330.0,76330.0,34,2,43,0,0,0,0,0,1,1,0,0,0,1,0,1,1,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +14.0,14,17,0.0,69,,28.0,16.0,78216.0,203.022,bourdais,39.0,French,toro_rosso,Italian,2008,8,French Grand Prix,43200000.0,magny_cours,Magny Cours,France,46.8642,3.16361,228.0,+1 Lap,0.0,7.0,9.0,0.0,76072.0,76045.0,76045.0,45,29,Dry at first; light rain in the final stages,0,0,1,1,0,Race circuit,Clockwise,4.411,72.0,306.0,76045.0,76072.0,76054.0,29,0,8,0,0,0,0,0,0,1,0,0,0,0,0,1,0,1,0,0,1,58.0,72.0,78.0,73.0,72.0 +9.0,7,9,0.0,70,5561266.0,23.0,12.0,77818.0,204.06,coulthard,68.0,British,red_bull,Austrian,2008,8,French Grand Prix,43200000.0,magny_cours,Magny Cours,France,46.8642,3.16361,228.0,Finished,0.0,24.0,4.0,0.0,75802.0,75654.0,77426.0,53,37,Dry at first; light rain in the final stages,0,0,1,1,0,Race circuit,Clockwise,4.411,72.0,306.0,75654.0,77426.0,76294.0,35,2,43,1,0,1,0,0,0,0,0,2,0,0,1,0,1,0,0,0,1,72.0,76.0,76.0,76.0,74.0 +21.0,17,18,0.0,69,,53.0,19.0,78557.0,202.141,fisichella,84.0,Italian,force_india,Indian,2008,8,French Grand Prix,43200000.0,magny_cours,Magny Cours,France,46.8642,3.16361,228.0,+1 Lap,0.0,0.0,10.0,0.0,76971.0,76971.0,76971.0,51,35,Dry at first; light rain in the final stages,0,0,1,1,0,Race circuit,Clockwise,4.411,72.0,306.0,76971.0,76971.0,76971.0,33,2,43,0,0,0,0,0,0,0,0,0,1,0,2,0,1,0,0,0,1,72.0,76.0,76.0,76.0,74.0 +12.0,8,11,0.0,70,5567945.0,45.0,13.0,77836.0,204.013,glock,65.0,German,toyota,Japanese,2008,8,French Grand Prix,43200000.0,magny_cours,Magny Cours,France,46.8642,3.16361,228.0,Finished,0.0,23.0,5.0,0.0,75727.0,75558.0,77596.0,42,26,Dry at first; light rain in the final stages,0,0,1,1,0,Race circuit,Clockwise,4.411,72.0,306.0,75558.0,77596.0,76293.66666666667,26,0,8,0,0,0,1,0,0,0,0,1,1,1,1,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +22.0,13,10,0.0,70,5564783.0,40.0,5.0,77453.0,205.022,hamilton,44.0,British,mclaren,British,2008,8,French Grand Prix,43200000.0,magny_cours,Magny Cours,France,46.8642,3.16361,228.0,Finished,2.0,58.0,3.0,2.0,75634.0,75293.0,76693.0,39,23,Dry at first; light rain in the final stages,0,0,1,1,0,Race circuit,Clockwise,4.411,72.0,306.0,75293.0,76693.0,75873.33333333333,22,1,25,4,1,1,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +3.0,11,13,0.0,70,5572324.0,46.0,9.0,77716.0,204.328,heidfeld,43.0,German,bmw_sauber,German,2008,8,French Grand Prix,43200000.0,magny_cours,Magny Cours,France,46.8642,3.16361,228.0,Finished,0.0,74.0,2.0,1.0,76006.0,75786.0,75786.0,47,31,Dry at first; light rain in the final stages,0,0,1,1,0,Race circuit,Clockwise,4.411,72.0,306.0,75786.0,76006.0,75859.33333333333,29,2,43,2,2,0,1,1,1,0,0,1,0,0,0,0,1,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +23.0,10,4,5.0,70,5539174.0,46.0,3.0,77134.0,205.87,kovalainen,52.0,Finnish,mclaren,British,2008,8,French Grand Prix,43200000.0,magny_cours,Magny Cours,France,46.8642,3.16361,228.0,Finished,0.0,58.0,3.0,2.0,75965.0,75639.0,76944.0,43,27,Dry at first; light rain in the final stages,0,0,1,1,0,Race circuit,Clockwise,4.411,72.0,306.0,75639.0,76944.0,76182.66666666667,26,1,25,1,0,1,0,2,0,0,1,1,0,0,1,0,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +4.0,5,5,4.0,70,5540757.0,16.0,4.0,77172.0,205.768,kubica,88.0,Polish,bmw_sauber,German,2008,8,French Grand Prix,43200000.0,magny_cours,Magny Cours,France,46.8642,3.16361,228.0,Finished,1.0,74.0,2.0,1.0,75687.0,75723.0,77037.0,40,24,Dry at first; light rain in the final stages,0,0,1,1,0,Race circuit,Clockwise,4.411,72.0,306.0,75687.0,77037.0,76149.0,22,2,30,4,2,1,2,0,0,0,0,1,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +2.0,2,1,10.0,70,5510245.0,20.0,2.0,76729.0,206.956,massa,19.0,Brazilian,ferrari,Italian,2008,8,French Grand Prix,43200000.0,magny_cours,Magny Cours,France,46.8642,3.16361,228.0,Finished,2.0,91.0,1.0,5.0,75024.0,75041.0,76490.0,43,27,Dry at first; light rain in the final stages,0,0,1,1,0,Race circuit,Clockwise,4.411,72.0,306.0,75024.0,76490.0,75518.33333333333,25,2,43,4,1,1,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +8.0,15,15,0.0,69,,60.0,15.0,78054.0,203.443,nakajima,48.0,Japanese,williams,British,2008,8,French Grand Prix,43200000.0,magny_cours,Magny Cours,France,46.8642,3.16361,228.0,+1 Lap,0.0,15.0,6.0,0.0,76243.0,76243.0,76243.0,39,23,Dry at first; light rain in the final stages,0,0,1,1,0,Race circuit,Clockwise,4.411,72.0,306.0,76243.0,76243.0,76243.0,22,1,9,0,0,0,0,0,1,2,0,0,0,0,0,0,1,1,0,1,0,58.0,72.0,78.0,73.0,72.0 +6.0,9,7,2.0,70,5551278.0,24.0,10.0,77758.0,204.218,piquet_jr,56.0,Brazilian,renault,French,2008,8,French Grand Prix,43200000.0,magny_cours,Magny Cours,France,46.8642,3.16361,228.0,Finished,0.0,12.0,7.0,0.0,75848.0,75770.0,75770.0,39,23,Dry at first; light rain in the final stages,0,0,1,1,0,Race circuit,Clockwise,4.411,72.0,306.0,75770.0,75848.0,75796.0,23,0,8,0,0,0,0,0,0,0,0,0,0,1,1,0,0,1,0,2,0,58.0,72.0,78.0,73.0,72.0 +1.0,1,2,8.0,70,5528229.0,16.0,1.0,76630.0,207.224,raikkonen,7.0,Finnish,ferrari,Italian,2008,8,French Grand Prix,43200000.0,magny_cours,Magny Cours,France,46.8642,3.16361,228.0,Finished,2.0,91.0,1.0,5.0,75133.0,75161.0,76449.0,45,29,Dry at first; light rain in the final stages,0,0,1,1,0,Race circuit,Clockwise,4.411,72.0,306.0,75133.0,76449.0,75581.0,27,2,43,4,1,1,0,0,0,0,1,1,0,0,0,0,0,0,0,0,1,72.0,76.0,76.0,76.0,74.0 +7.0,19,16,0.0,69,,38.0,17.0,78311.0,202.776,rosberg,6.0,German,williams,British,2008,8,French Grand Prix,43200000.0,magny_cours,Magny Cours,France,46.8642,3.16361,228.0,+1 Lap,0.0,15.0,6.0,0.0,76085.0,76235.0,76235.0,39,23,Dry at first; light rain in the final stages,0,0,1,1,0,Race circuit,Clockwise,4.411,72.0,306.0,76085.0,76235.0,76185.0,21,2,43,1,0,1,0,0,0,0,2,0,1,0,0,0,2,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +20.0,18,19,0.0,69,,41.0,18.0,78462.0,202.385,sutil,99.0,German,force_india,Indian,2008,8,French Grand Prix,43200000.0,magny_cours,Magny Cours,France,46.8642,3.16361,228.0,+1 Lap,0.0,0.0,10.0,0.0,77053.0,77053.0,77053.0,41,25,Dry at first; light rain in the final stages,0,0,1,1,0,Race circuit,Clockwise,4.411,72.0,306.0,77053.0,77053.0,77053.0,24,1,25,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,4,3,6.0,70,5538495.0,12.0,7.0,77567.0,204.721,trulli,75.0,Italian,toyota,Japanese,2008,8,French Grand Prix,43200000.0,magny_cours,Magny Cours,France,46.8642,3.16361,228.0,Finished,0.0,23.0,5.0,0.0,75521.0,75362.0,76920.0,50,34,Dry at first; light rain in the final stages,0,0,1,1,0,Race circuit,Clockwise,4.411,72.0,306.0,75362.0,76920.0,75934.33333333333,32,2,43,0,0,0,1,0,2,0,1,0,1,0,0,1,0,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +15.0,12,12,0.0,70,5568310.0,36.0,11.0,77760.0,204.212,vettel,5.0,German,toro_rosso,Italian,2008,8,French Grand Prix,43200000.0,magny_cours,Magny Cours,France,46.8642,3.16361,228.0,Finished,0.0,7.0,9.0,0.0,75918.0,75816.0,75816.0,37,21,Dry at first; light rain in the final stages,0,0,1,1,0,Race circuit,Clockwise,4.411,72.0,306.0,75816.0,75918.0,75850.0,20,1,16,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,1,1,58.0,72.0,78.0,73.0,72.0 +10.0,6,6,3.0,70,5550549.0,22.0,6.0,77507.0,204.879,webber,91.0,Australian,red_bull,Austrian,2008,8,French Grand Prix,43200000.0,magny_cours,Magny Cours,France,46.8642,3.16361,228.0,Finished,0.0,24.0,4.0,0.0,76020.0,75488.0,77233.0,48,32,Dry at first; light rain in the final stages,0,0,1,1,0,Race circuit,Clockwise,4.411,72.0,306.0,75488.0,77233.0,76247.0,30,2,43,0,0,0,1,1,0,3,0,0,0,0,1,0,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +5.0,6,6,3.0,59,,17.0,6.0,93133.0,198.722,alonso,14.0,Spanish,renault,French,2008,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,15.0,7.0,0.0,80998.0,79992.0,82029.0,43,27,"Rain, later drying",0,0,1,1,0,Race circuit,Clockwise,5.891,52.0,306.198,79992.0,82029.0,81006.33333333333,25,2,44,0,0,0,1,0,1,0,2,0,2,0,0,0,0,1,1,0,0,72.0,76.0,76.0,76.0,74.0 +17.0,16,3,6.0,60,6031713.0,21.0,11.0,93386.0,198.183,barrichello,96.0,Brazilian,honda,Japanese,2008,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,14.0,8.0,0.0,81512.0,81512.0,81512.0,52,36,"Rain, later drying",0,0,1,1,0,Race circuit,Clockwise,5.891,52.0,306.198,81512.0,81512.0,81512.0,34,2,44,0,0,0,0,0,1,1,0,0,0,1,0,1,2,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +14.0,13,11,0.0,59,,21.0,9.0,93367.0,198.224,bourdais,39.0,French,toro_rosso,Italian,2008,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,7.0,9.0,0.0,80584.0,80531.0,80531.0,45,29,"Rain, later drying",0,0,1,1,0,Race circuit,Clockwise,5.891,52.0,306.198,80531.0,80584.0,80548.66666666667,29,0,9,0,0,0,0,0,0,1,0,0,0,0,0,1,0,1,0,1,1,58.0,72.0,78.0,73.0,72.0 +12.0,12,12,0.0,59,,19.0,15.0,94610.0,195.619,glock,65.0,German,toyota,Japanese,2008,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,25.0,4.0,0.0,80893.0,80274.0,80274.0,42,26,"Rain, later drying",0,0,1,1,0,Race circuit,Clockwise,5.891,52.0,306.198,80274.0,80893.0,80480.33333333333,26,0,9,0,0,0,1,0,0,0,0,1,1,2,1,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +22.0,4,1,10.0,60,5949440.0,16.0,3.0,92817.0,199.398,hamilton,44.0,British,mclaren,British,2008,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,2.0,72.0,3.0,3.0,80288.0,79537.0,81835.0,39,23,"Rain, later drying",0,0,1,1,0,Race circuit,Clockwise,5.891,52.0,306.198,79537.0,81835.0,80553.33333333333,22,1,26,4,1,1,0,1,0,0,0,0,1,0,0,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +3.0,5,2,8.0,60,6018017.0,21.0,2.0,92719.0,199.609,heidfeld,43.0,German,bmw_sauber,German,2008,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,82.0,2.0,1.0,81022.0,79802.0,81873.0,47,31,"Rain, later drying",0,0,1,1,0,Race circuit,Clockwise,5.891,52.0,306.198,79802.0,81873.0,80899.0,29,2,44,2,2,0,1,1,1,0,0,1,0,0,0,1,1,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +23.0,1,5,4.0,59,,17.0,5.0,93130.0,198.728,kovalainen,52.0,Finnish,mclaren,British,2008,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,72.0,3.0,3.0,79957.0,79597.0,81049.0,43,27,"Rain, later drying",0,0,1,1,0,Race circuit,Clockwise,5.891,52.0,306.198,79597.0,81049.0,80201.0,26,1,26,1,0,1,1,2,0,0,1,1,0,0,1,0,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +2.0,9,13,0.0,58,,19.0,8.0,93257.0,198.458,massa,19.0,Brazilian,ferrari,Italian,2008,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+2 Laps,3.0,96.0,1.0,5.0,80676.0,80086.0,83305.0,43,27,"Rain, later drying",0,0,1,1,0,Race circuit,Clockwise,5.891,52.0,306.198,80086.0,83305.0,81355.66666666667,25,2,44,5,1,1,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +8.0,15,8,1.0,59,,21.0,14.0,94277.0,196.31,nakajima,48.0,Japanese,williams,British,2008,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,16.0,6.0,0.0,81407.0,81112.0,81112.0,39,23,"Rain, later drying",0,0,1,1,0,Race circuit,Clockwise,5.891,52.0,306.198,81112.0,81407.0,81210.33333333333,22,1,10,0,0,0,0,0,1,2,0,0,0,0,0,0,1,2,0,1,0,58.0,72.0,78.0,73.0,72.0 +1.0,3,4,5.0,59,,18.0,1.0,92150.0,200.842,raikkonen,7.0,Finnish,ferrari,Italian,2008,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,2.0,96.0,1.0,5.0,80370.0,79971.0,81706.0,45,29,"Rain, later drying",0,0,1,1,0,Race circuit,Clockwise,5.891,52.0,306.198,79971.0,81706.0,80682.33333333333,27,2,44,5,2,1,0,0,0,0,1,1,0,0,0,0,0,0,0,0,1,72.0,76.0,76.0,76.0,74.0 +7.0,20,9,0.0,59,,21.0,16.0,94797.0,195.234,rosberg,6.0,German,williams,British,2008,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,16.0,6.0,0.0,81668.0,81668.0,81668.0,39,23,"Rain, later drying",0,0,1,1,0,Race circuit,Clockwise,5.891,52.0,306.198,81668.0,81668.0,81668.0,21,2,44,1,0,1,0,0,0,0,2,0,1,0,0,0,2,0,2,0,0,72.0,76.0,76.0,76.0,74.0 +11.0,14,7,2.0,59,,22.0,13.0,93808.0,197.292,trulli,75.0,Italian,toyota,Japanese,2008,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,25.0,4.0,0.0,81145.0,80601.0,80601.0,50,34,"Rain, later drying",0,0,1,1,0,Race circuit,Clockwise,5.891,52.0,306.198,80601.0,81145.0,80782.33333333333,32,2,44,1,0,1,1,0,2,0,1,0,1,0,0,1,0,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +10.0,2,10,0.0,59,,17.0,4.0,92952.0,199.109,webber,91.0,Australian,red_bull,Austrian,2008,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,24.0,5.0,0.0,80982.0,79710.0,81554.0,48,32,"Rain, later drying",0,0,1,1,0,Race circuit,Clockwise,5.891,52.0,306.198,79710.0,81554.0,80748.66666666667,30,2,44,0,0,0,1,1,1,3,0,0,0,0,1,0,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +5.0,5,11,0.0,67,5519474.0,17.0,13.0,77115.0,213.53,alonso,14.0,Spanish,renault,French,2008,10,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,0.0,23.0,6.0,0.0,75917.0,74943.0,76385.0,43,27,"Cloudy, later sunny[1]",1,0,0,0,1,Race circuit,Clockwise,4.574,64.0,292.736,74943.0,76385.0,75748.33333333333,25,2,45,0,0,0,1,0,2,0,2,0,2,0,0,0,0,1,1,0,0,72.0,76.0,76.0,76.0,74.0 +14.0,15,12,0.0,67,5519985.0,63.0,10.0,76969.0,213.935,bourdais,39.0,French,toro_rosso,Italian,2008,10,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,0.0,8.0,9.0,0.0,75927.0,75858.0,75858.0,45,29,"Cloudy, later sunny[1]",1,0,0,0,1,Race circuit,Clockwise,4.574,64.0,292.736,75858.0,75927.0,75881.0,29,0,10,0,0,0,0,0,0,1,0,0,0,1,0,1,0,1,0,1,1,58.0,72.0,78.0,73.0,72.0 +16.0,14,17,0.0,66,,56.0,16.0,77636.0,212.097,button,22.0,British,honda,Japanese,2008,10,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,+1 Lap,0.0,14.0,8.0,0.0,75993.0,75701.0,75701.0,44,28,"Cloudy, later sunny[1]",1,0,0,0,1,Race circuit,Clockwise,4.574,64.0,292.736,75701.0,75993.0,75798.33333333333,26,2,45,0,0,0,0,0,1,0,0,0,1,3,0,0,0,1,0,0,1,72.0,76.0,76.0,76.0,74.0 +9.0,10,13,0.0,67,5535845.0,18.0,11.0,76994.0,213.866,coulthard,68.0,British,red_bull,Austrian,2008,10,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,0.0,24.0,5.0,0.0,75975.0,75338.0,77503.0,53,37,"Cloudy, later sunny[1]",1,0,0,0,1,Race circuit,Clockwise,4.574,64.0,292.736,75338.0,77503.0,76272.0,35,2,45,1,0,1,0,0,0,0,0,3,0,0,1,0,1,0,0,0,1,72.0,76.0,76.0,76.0,74.0 +21.0,20,16,0.0,67,5564967.0,67.0,20.0,78208.0,210.546,fisichella,84.0,Italian,force_india,Indian,2008,10,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,0.0,0.0,10.0,0.0,76963.0,76963.0,76963.0,51,35,"Cloudy, later sunny[1]",1,0,0,0,1,Race circuit,Clockwise,4.574,64.0,292.736,76963.0,76963.0,76963.0,33,2,45,0,0,0,0,0,0,0,0,0,1,0,2,0,1,0,0,1,2,72.0,76.0,76.0,76.0,74.0 +22.0,1,1,10.0,67,5480874.0,17.0,2.0,76039.0,216.552,hamilton,44.0,British,mclaren,British,2008,10,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,3.0,86.0,3.0,4.0,75218.0,74603.0,75666.0,39,23,"Cloudy, later sunny[1]",1,0,0,0,1,Race circuit,Clockwise,4.574,64.0,292.736,74603.0,75666.0,75162.33333333333,22,1,27,5,1,1,0,1,0,0,0,0,1,0,0,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +3.0,12,4,5.0,67,5490699.0,52.0,1.0,75987.0,216.7,heidfeld,43.0,German,bmw_sauber,German,2008,10,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,0.0,89.0,2.0,1.0,75596.0,75581.0,75581.0,47,31,"Cloudy, later sunny[1]",1,0,0,0,1,Race circuit,Clockwise,4.574,64.0,292.736,75581.0,75596.0,75586.0,29,2,45,3,3,0,1,1,1,0,0,1,0,0,0,1,1,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +23.0,3,5,4.0,67,5493285.0,63.0,4.0,76495.0,215.261,kovalainen,52.0,Finnish,mclaren,British,2008,10,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,0.0,86.0,3.0,4.0,75476.0,74855.0,76143.0,43,27,"Cloudy, later sunny[1]",1,0,0,0,1,Race circuit,Clockwise,4.574,64.0,292.736,74855.0,76143.0,75491.33333333333,26,1,27,1,0,1,1,3,0,0,1,1,0,0,1,0,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +4.0,7,7,2.0,67,5503556.0,17.0,6.0,76610.0,214.937,kubica,88.0,Polish,bmw_sauber,German,2008,10,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,1.0,89.0,2.0,1.0,75985.0,75109.0,76521.0,40,24,"Cloudy, later sunny[1]",1,0,0,0,1,Race circuit,Clockwise,4.574,64.0,292.736,75109.0,76521.0,75871.66666666667,22,2,32,4,2,1,2,1,0,0,0,1,0,0,0,0,1,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +2.0,2,3,6.0,67,5490213.0,19.0,5.0,76502.0,215.241,massa,19.0,Brazilian,ferrari,Italian,2008,10,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,3.0,105.0,1.0,5.0,74921.0,74747.0,75859.0,43,27,"Cloudy, later sunny[1]",1,0,0,0,1,Race circuit,Clockwise,4.574,64.0,292.736,74747.0,75859.0,75175.66666666667,25,2,45,5,1,1,0,1,0,0,0,0,0,0,0,2,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +8.0,16,14,0.0,67,5540877.0,23.0,17.0,77691.0,211.947,nakajima,48.0,Japanese,williams,British,2008,10,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,0.0,16.0,7.0,0.0,76083.0,76083.0,76083.0,39,23,"Cloudy, later sunny[1]",1,0,0,0,1,Race circuit,Clockwise,4.574,64.0,292.736,76083.0,76083.0,76083.0,22,1,11,0,0,0,0,0,1,2,1,0,0,0,0,0,1,2,0,1,0,58.0,72.0,78.0,73.0,72.0 +6.0,17,2,8.0,67,5486460.0,66.0,9.0,76910.0,214.099,piquet_jr,56.0,Brazilian,renault,French,2008,10,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,0.0,23.0,6.0,0.0,76189.0,76189.0,76189.0,39,23,"Cloudy, later sunny[1]",1,0,0,0,1,Race circuit,Clockwise,4.574,64.0,292.736,76189.0,76189.0,76189.0,23,0,10,0,0,0,0,0,0,1,0,0,0,1,1,0,0,1,1,2,0,58.0,72.0,78.0,73.0,72.0 +1.0,6,6,3.0,67,5495277.0,66.0,3.0,76342.0,215.692,raikkonen,7.0,Finnish,ferrari,Italian,2008,10,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,2.0,105.0,1.0,5.0,75201.0,74949.0,76389.0,45,29,"Cloudy, later sunny[1]",1,0,0,0,1,Race circuit,Clockwise,4.574,64.0,292.736,74949.0,76389.0,75513.0,27,2,45,5,2,1,1,0,0,0,1,1,0,0,0,0,0,0,0,0,1,72.0,76.0,76.0,76.0,74.0 +7.0,13,10,0.0,67,5518499.0,34.0,15.0,77380.0,212.799,rosberg,6.0,German,williams,British,2008,10,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,0.0,16.0,7.0,0.0,75863.0,75633.0,75633.0,39,23,"Cloudy, later sunny[1]",1,0,0,0,1,Race circuit,Clockwise,4.574,64.0,292.736,75633.0,75863.0,75709.66666666667,21,2,45,1,0,1,0,0,0,0,2,1,1,0,0,0,2,0,2,0,0,72.0,76.0,76.0,76.0,74.0 +20.0,19,15,0.0,67,5550362.0,66.0,18.0,77889.0,211.408,sutil,99.0,German,force_india,Indian,2008,10,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,0.0,0.0,10.0,0.0,76657.0,76657.0,76657.0,41,25,"Cloudy, later sunny[1]",1,0,0,0,1,Race circuit,Clockwise,4.574,64.0,292.736,76657.0,76657.0,76657.0,24,1,27,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,0,1,58.0,72.0,78.0,73.0,72.0 +11.0,4,9,0.0,67,5518032.0,17.0,12.0,77023.0,213.785,trulli,75.0,Italian,toyota,Japanese,2008,10,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,0.0,25.0,4.0,0.0,75560.0,75122.0,76191.0,50,34,"Cloudy, later sunny[1]",1,0,0,0,1,Race circuit,Clockwise,4.574,64.0,292.736,75122.0,76191.0,75624.33333333333,32,2,45,1,0,1,1,0,2,1,1,0,1,0,0,1,0,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +15.0,9,8,1.0,67,5514173.0,20.0,8.0,76772.0,214.484,vettel,5.0,German,toro_rosso,Italian,2008,10,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,0.0,8.0,9.0,0.0,75532.0,75420.0,77244.0,37,21,"Cloudy, later sunny[1]",1,0,0,0,1,Race circuit,Clockwise,4.574,64.0,292.736,75420.0,77244.0,76065.33333333333,20,1,18,0,0,0,0,1,0,0,1,0,0,0,1,0,0,0,0,1,1,58.0,72.0,78.0,73.0,72.0 +5.0,7,4,5.0,70,5868681.0,47.0,8.0,81793.0,192.823,alonso,14.0,Spanish,renault,French,2008,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,31.0,5.0,0.0,80229.0,79816.0,81698.0,43,27,"Sunny; Air 30–31 °C (86–88 °F), Track 40–43 °C (104–109 °F)",1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,79816.0,81698.0,80581.0,25,2,46,0,0,0,1,0,2,0,2,0,2,1,0,0,0,1,1,0,0,72.0,76.0,76.0,76.0,74.0 +17.0,17,16,0.0,68,,65.0,14.0,82436.0,191.319,barrichello,96.0,Brazilian,honda,Japanese,2008,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+2 Laps,0.0,14.0,8.0,0.0,81332.0,81332.0,81332.0,52,36,"Sunny; Air 30–31 °C (86–88 °F), Track 40–43 °C (104–109 °F)",1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,81332.0,81332.0,81332.0,34,2,46,1,0,1,0,0,1,1,0,0,0,1,0,1,2,0,1,0,1,72.0,76.0,76.0,76.0,74.0 +14.0,19,18,0.0,67,,29.0,17.0,83220.0,189.516,bourdais,39.0,French,toro_rosso,Italian,2008,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+3 Laps,0.0,8.0,9.0,0.0,80640.0,80963.0,80963.0,45,29,"Sunny; Air 30–31 °C (86–88 °F), Track 40–43 °C (104–109 °F)",1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,80640.0,80963.0,80855.33333333333,29,0,11,0,0,0,0,0,0,1,0,0,0,1,1,1,0,1,0,1,1,58.0,72.0,78.0,73.0,72.0 +16.0,12,12,0.0,69,,63.0,13.0,82397.0,191.409,button,22.0,British,honda,Japanese,2008,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,14.0,8.0,0.0,80888.0,80332.0,80332.0,44,28,"Sunny; Air 30–31 °C (86–88 °F), Track 40–43 °C (104–109 °F)",1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,80332.0,80888.0,80517.33333333333,26,2,46,0,0,0,0,0,1,0,0,0,1,3,0,0,0,1,0,1,1,72.0,76.0,76.0,76.0,74.0 +9.0,13,11,0.0,70,5917474.0,67.0,16.0,82732.0,190.634,coulthard,68.0,British,red_bull,Austrian,2008,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,24.0,6.0,0.0,80505.0,80502.0,80502.0,53,37,"Sunny; Air 30–31 °C (86–88 °F), Track 40–43 °C (104–109 °F)",1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,80502.0,80505.0,80503.0,35,2,46,1,0,1,0,0,0,0,0,3,0,0,1,1,1,0,0,0,1,72.0,76.0,76.0,76.0,74.0 +21.0,18,15,0.0,69,,68.0,15.0,82641.0,190.844,fisichella,84.0,Italian,force_india,Indian,2008,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,0.0,10.0,0.0,81670.0,81670.0,81670.0,51,35,"Sunny; Air 30–31 °C (86–88 °F), Track 40–43 °C (104–109 °F)",1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,81670.0,81670.0,81670.0,33,2,46,0,0,0,0,0,0,0,0,0,1,0,2,0,1,0,1,1,2,72.0,76.0,76.0,76.0,74.0 +12.0,5,2,8.0,70,5858128.0,42.0,6.0,81671.0,193.111,glock,65.0,German,toyota,Japanese,2008,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,35.0,4.0,0.0,79980.0,79246.0,81326.0,42,26,"Sunny; Air 30–31 °C (86–88 °F), Track 40–43 °C (104–109 °F)",1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,79246.0,81326.0,80184.0,26,0,11,0,0,0,1,0,0,0,0,1,1,2,2,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +22.0,1,5,4.0,70,5870115.0,15.0,3.0,81493.0,193.533,hamilton,44.0,British,mclaren,British,2008,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,4.0,100.0,2.0,5.0,79376.0,79473.0,80899.0,39,23,"Sunny; Air 30–31 °C (86–88 °F), Track 40–43 °C (104–109 °F)",1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,79376.0,80899.0,79916.0,22,1,28,6,1,1,0,1,0,0,0,0,1,0,0,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +3.0,15,10,0.0,70,5914776.0,67.0,11.0,82183.0,191.908,heidfeld,43.0,German,bmw_sauber,German,2008,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,90.0,3.0,1.0,81045.0,81045.0,81045.0,47,31,"Sunny; Air 30–31 °C (86–88 °F), Track 40–43 °C (104–109 °F)",1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,81045.0,81045.0,81045.0,29,2,46,3,3,0,2,1,1,0,0,1,0,0,0,1,1,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +23.0,2,1,10.0,70,5847067.0,19.0,7.0,81753.0,192.917,kovalainen,52.0,Finnish,mclaren,British,2008,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,100.0,2.0,5.0,79945.0,79480.0,81140.0,43,27,"Sunny; Air 30–31 °C (86–88 °F), Track 40–43 °C (104–109 °F)",1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,79480.0,81140.0,80188.33333333333,26,1,28,1,0,1,1,4,0,0,1,1,0,0,1,0,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +4.0,4,8,1.0,70,5895388.0,70.0,9.0,81941.0,192.475,kubica,88.0,Polish,bmw_sauber,German,2008,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,1.0,90.0,3.0,1.0,80053.0,79776.0,81281.0,40,24,"Sunny; Air 30–31 °C (86–88 °F), Track 40–43 °C (104–109 °F)",1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,79776.0,81281.0,80370.0,22,2,33,4,2,1,2,1,0,1,0,1,0,0,0,0,1,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,16,13,0.0,69,,67.0,18.0,83307.0,189.319,nakajima,48.0,Japanese,williams,British,2008,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,16.0,7.0,0.0,81085.0,81085.0,81085.0,39,23,"Sunny; Air 30–31 °C (86–88 °F), Track 40–43 °C (104–109 °F)",1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,81085.0,81085.0,81085.0,22,1,12,0,0,0,0,0,1,2,1,0,0,0,0,0,2,2,0,1,0,58.0,72.0,78.0,73.0,72.0 +6.0,10,6,3.0,70,5879365.0,64.0,4.0,81537.0,193.428,piquet_jr,56.0,Brazilian,renault,French,2008,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,31.0,5.0,0.0,80583.0,80131.0,82371.0,39,23,"Sunny; Air 30–31 °C (86–88 °F), Track 40–43 °C (104–109 °F)",1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,80131.0,82371.0,81028.33333333333,23,0,11,1,1,0,0,0,0,1,0,0,0,1,1,0,0,1,1,2,0,58.0,72.0,78.0,73.0,72.0 +1.0,6,3,6.0,70,5863923.0,61.0,1.0,81195.0,194.243,raikkonen,7.0,Finnish,ferrari,Italian,2008,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,2.0,111.0,1.0,5.0,80006.0,79546.0,81516.0,45,29,"Sunny; Air 30–31 °C (86–88 °F), Track 40–43 °C (104–109 °F)",1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,79546.0,81516.0,80356.0,27,2,46,5,2,1,1,0,1,0,1,1,0,0,0,0,0,0,0,0,1,72.0,76.0,76.0,76.0,74.0 +7.0,14,14,0.0,69,,57.0,12.0,82397.0,191.409,rosberg,6.0,German,williams,British,2008,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,16.0,7.0,0.0,80748.0,80748.0,80748.0,39,23,"Sunny; Air 30–31 °C (86–88 °F), Track 40–43 °C (104–109 °F)",1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,80748.0,80748.0,80748.0,21,2,46,1,0,1,0,0,0,0,2,1,2,0,0,0,2,0,2,0,0,72.0,76.0,76.0,76.0,74.0 +11.0,9,7,2.0,70,5883516.0,65.0,5.0,81638.0,193.189,trulli,75.0,Italian,toyota,Japanese,2008,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,35.0,4.0,0.0,79942.0,79486.0,81767.0,50,34,"Sunny; Air 30–31 °C (86–88 °F), Track 40–43 °C (104–109 °F)",1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,79486.0,81767.0,80398.33333333333,32,2,46,1,0,1,1,0,2,1,1,1,1,0,0,1,0,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +10.0,8,9,0.0,70,5905901.0,67.0,10.0,82125.0,192.043,webber,91.0,Australian,red_bull,Austrian,2008,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,24.0,6.0,0.0,80073.0,80046.0,81732.0,48,32,"Sunny; Air 30–31 °C (86–88 °F), Track 40–43 °C (104–109 °F)",1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,80046.0,81732.0,80617.0,30,2,46,0,0,0,1,1,1,3,0,0,1,0,1,0,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +17.0,19,16,0.0,56,,56.0,16.0,100593.0,193.933,barrichello,96.0,Brazilian,honda,Japanese,2008,12,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,+1 Lap,0.0,14.0,8.0,0.0,99811.0,99811.0,99811.0,52,36,Sunny,1,0,0,0,0,Street circuit,Clockwise,5.419,57.0,308.883,99811.0,99811.0,99811.0,34,2,47,1,0,1,0,0,1,1,0,0,0,1,0,1,2,0,2,0,1,72.0,76.0,76.0,76.0,74.0 +14.0,10,10,0.0,57,5822133.0,35.0,11.0,99639.0,195.79,bourdais,39.0,French,toro_rosso,Italian,2008,12,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,Finished,0.0,11.0,9.0,0.0,98622.0,98417.0,100750.0,45,29,Sunny,1,0,0,0,0,Street circuit,Clockwise,5.419,57.0,308.883,98417.0,100750.0,99263.0,29,0,12,0,0,0,0,0,0,1,0,0,0,1,1,1,0,1,0,1,2,58.0,72.0,78.0,73.0,72.0 +16.0,16,13,0.0,56,,21.0,18.0,100763.0,193.606,button,22.0,British,honda,Japanese,2008,12,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,+1 Lap,0.0,14.0,8.0,0.0,98880.0,98880.0,98880.0,44,28,Sunny,1,0,0,0,0,Street circuit,Clockwise,5.419,57.0,308.883,98880.0,98880.0,98880.0,26,2,47,0,0,0,0,0,1,0,0,0,1,3,1,0,0,1,0,1,1,72.0,76.0,76.0,76.0,74.0 +9.0,17,17,0.0,56,,13.0,19.0,100978.0,193.194,coulthard,68.0,British,red_bull,Austrian,2008,12,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,+1 Lap,0.0,24.0,6.0,0.0,99235.0,99235.0,99235.0,53,37,Sunny,1,0,0,0,0,Street circuit,Clockwise,5.419,57.0,308.883,99235.0,99235.0,99235.0,35,2,47,1,0,1,0,0,0,0,0,3,0,1,1,1,1,0,0,0,1,72.0,76.0,76.0,76.0,74.0 +21.0,18,14,0.0,56,,54.0,15.0,100353.0,194.397,fisichella,84.0,Italian,force_india,Indian,2008,12,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,+1 Lap,0.0,0.0,10.0,0.0,99268.0,99268.0,99268.0,51,35,Sunny,1,0,0,0,0,Street circuit,Clockwise,5.419,57.0,308.883,99268.0,99268.0,99268.0,33,2,47,0,0,0,0,0,0,0,0,0,1,0,2,0,1,1,1,1,2,72.0,76.0,76.0,76.0,74.0 +12.0,13,7,2.0,57,5800329.0,54.0,8.0,99535.0,195.995,glock,65.0,German,toyota,Japanese,2008,12,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,Finished,0.0,41.0,4.0,0.0,98532.0,98499.0,98499.0,42,26,Sunny,1,0,0,0,0,Street circuit,Clockwise,5.419,57.0,308.883,98499.0,98532.0,98510.0,26,0,12,1,1,0,1,0,0,0,0,1,1,2,2,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +22.0,2,2,8.0,57,5737950.0,16.0,2.0,98884.0,197.285,hamilton,44.0,British,mclaren,British,2008,12,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,Finished,4.0,113.0,2.0,5.0,98464.0,97954.0,99199.0,39,23,Sunny,1,0,0,0,0,Street circuit,Clockwise,5.419,57.0,308.883,97954.0,99199.0,98539.0,22,1,29,6,1,1,0,2,0,0,0,0,1,0,0,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +3.0,8,9,0.0,57,5814516.0,57.0,7.0,99526.0,196.013,heidfeld,43.0,German,bmw_sauber,German,2008,12,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,Finished,0.0,96.0,3.0,1.0,98738.0,97859.0,100631.0,47,31,Sunny,1,0,0,0,0,Street circuit,Clockwise,5.419,57.0,308.883,97859.0,100631.0,99076.0,29,2,47,3,3,0,2,1,1,0,0,1,1,0,0,1,1,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +23.0,5,4,5.0,57,5772042.0,19.0,3.0,99112.0,196.831,kovalainen,52.0,Finnish,mclaren,British,2008,12,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,Finished,1.0,113.0,2.0,5.0,98656.0,98120.0,99937.0,43,27,Sunny,1,0,0,0,0,Street circuit,Clockwise,5.419,57.0,308.883,98120.0,99937.0,98904.33333333331,26,1,29,2,0,1,1,4,0,0,1,1,0,0,1,0,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +4.0,3,3,6.0,57,5769692.0,38.0,4.0,99330.0,196.399,kubica,88.0,Polish,bmw_sauber,German,2008,12,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,Finished,1.0,96.0,3.0,1.0,98347.0,98050.0,99392.0,40,24,Sunny,1,0,0,0,0,Street circuit,Clockwise,5.419,57.0,308.883,98050.0,99392.0,98596.33333333331,22,2,34,4,2,1,2,1,0,1,1,1,0,0,0,0,1,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +2.0,1,1,10.0,57,5732339.0,36.0,1.0,98708.0,197.637,massa,19.0,Brazilian,ferrari,Italian,2008,12,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,Finished,3.0,121.0,1.0,6.0,98176.0,97859.0,98989.0,43,27,Sunny,1,0,0,0,0,Street circuit,Clockwise,5.419,57.0,308.883,97859.0,98989.0,98341.33333333331,25,2,47,6,1,2,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +8.0,11,15,0.0,56,,56.0,13.0,99803.0,195.469,nakajima,48.0,Japanese,williams,British,2008,12,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,+1 Lap,0.0,17.0,7.0,0.0,98667.0,98428.0,98428.0,39,23,Sunny,1,0,0,0,0,Street circuit,Clockwise,5.419,57.0,308.883,98428.0,98667.0,98507.66666666669,22,1,13,0,0,0,0,0,1,2,1,0,0,0,0,1,2,2,0,1,0,58.0,72.0,78.0,73.0,72.0 +6.0,15,11,0.0,57,5825056.0,29.0,9.0,99544.0,195.977,piquet_jr,56.0,Brazilian,renault,French,2008,12,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,Finished,0.0,31.0,5.0,0.0,98787.0,98744.0,98744.0,39,23,Sunny,1,0,0,0,0,Street circuit,Clockwise,5.419,57.0,308.883,98744.0,98787.0,98758.33333333331,23,0,12,1,1,0,0,0,1,1,0,0,0,1,1,0,0,1,1,2,0,58.0,72.0,78.0,73.0,72.0 +7.0,9,8,1.0,57,5803796.0,35.0,10.0,99577.0,195.912,rosberg,6.0,German,williams,British,2008,12,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,Finished,0.0,17.0,7.0,0.0,98595.0,98336.0,100721.0,39,23,Sunny,1,0,0,0,0,Street circuit,Clockwise,5.419,57.0,308.883,98336.0,100721.0,99217.33333333331,21,2,47,1,0,1,0,0,0,0,2,1,2,0,0,0,3,0,2,0,0,72.0,76.0,76.0,76.0,74.0 +11.0,7,5,4.0,57,5783023.0,37.0,12.0,99657.0,195.755,trulli,75.0,Italian,toyota,Japanese,2008,12,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,Finished,0.0,41.0,4.0,0.0,97948.0,97928.0,100309.0,50,34,Sunny,1,0,0,0,0,Street circuit,Clockwise,5.419,57.0,308.883,97928.0,100309.0,98728.33333333331,32,2,47,1,0,1,1,0,2,2,1,1,1,0,0,1,0,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +15.0,6,6,3.0,57,5784964.0,36.0,6.0,99485.0,196.093,vettel,5.0,German,toro_rosso,Italian,2008,12,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,Finished,0.0,11.0,9.0,0.0,98141.0,97842.0,100142.0,37,21,Sunny,1,0,0,0,0,Street circuit,Clockwise,5.419,57.0,308.883,97842.0,100142.0,98708.33333333331,20,1,20,0,0,0,0,1,0,0,2,0,0,0,1,0,0,0,0,1,1,58.0,72.0,78.0,73.0,72.0 +10.0,14,12,0.0,56,,27.0,14.0,100264.0,194.57,webber,91.0,Australian,red_bull,Austrian,2008,12,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,+1 Lap,0.0,24.0,6.0,0.0,98559.0,98515.0,98515.0,48,32,Sunny,1,0,0,0,0,Street circuit,Clockwise,5.419,57.0,308.883,98515.0,98559.0,98529.66666666669,30,2,47,0,0,0,1,1,1,3,0,1,1,0,1,0,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +5.0,6,4,5.0,44,4993872.0,25.0,9.0,109238.0,230.82,alonso,14.0,Spanish,renault,French,2008,13,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,36.0,5.0,0.0,107154.0,106491.0,108504.0,43,27,"Cloudy, rain in last 3 laps",0,0,0,1,1,Race circuit,Clockwise,7.004,44.0,308.052,106491.0,108504.0,107383.0,25,2,48,0,0,0,2,0,2,0,2,0,2,1,0,0,0,1,1,0,0,72.0,76.0,76.0,76.0,74.0 +14.0,9,7,2.0,44,4996129.0,31.0,6.0,109002.0,231.32,bourdais,39.0,French,toro_rosso,Italian,2008,13,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,17.0,8.0,0.0,106777.0,106544.0,108951.0,45,29,"Cloudy, rain in last 3 laps",0,0,0,1,1,Race circuit,Clockwise,7.004,44.0,308.052,106544.0,108951.0,107424.0,29,0,13,0,0,0,0,0,0,1,0,0,1,1,1,1,0,1,0,1,2,58.0,72.0,78.0,73.0,72.0 +16.0,17,15,0.0,43,,19.0,16.0,110671.0,227.832,button,22.0,British,honda,Japanese,2008,13,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,+1 Lap,0.0,14.0,9.0,0.0,108211.0,108211.0,108211.0,44,28,"Cloudy, rain in last 3 laps",0,0,0,1,1,Race circuit,Clockwise,7.004,44.0,308.052,108211.0,108211.0,108211.0,26,2,48,0,0,0,0,0,1,0,0,0,1,3,1,1,0,1,0,1,1,72.0,76.0,76.0,76.0,74.0 +9.0,14,11,0.0,43,,19.0,11.0,110177.0,228.853,coulthard,68.0,British,red_bull,Austrian,2008,13,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,+1 Lap,0.0,25.0,6.0,0.0,107132.0,107018.0,107018.0,53,37,"Cloudy, rain in last 3 laps",0,0,0,1,1,Race circuit,Clockwise,7.004,44.0,308.052,107018.0,107132.0,107056.0,35,2,48,1,0,1,0,0,0,0,0,3,0,1,1,1,1,0,0,1,1,72.0,76.0,76.0,76.0,74.0 +21.0,20,17,0.0,43,,17.0,19.0,111701.0,225.731,fisichella,84.0,Italian,force_india,Indian,2008,13,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,+1 Lap,0.0,0.0,10.0,0.0,108447.0,108447.0,108447.0,51,35,"Cloudy, rain in last 3 laps",0,0,0,1,1,Race circuit,Clockwise,7.004,44.0,308.052,108447.0,108447.0,108447.0,33,2,48,0,0,0,0,0,0,0,0,0,1,0,2,0,2,1,1,1,2,72.0,76.0,76.0,76.0,74.0 +12.0,13,9,0.0,44,5046439.0,37.0,12.0,110255.0,228.691,glock,65.0,German,toyota,Japanese,2008,13,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,41.0,4.0,0.0,107359.0,106995.0,106995.0,42,26,"Cloudy, rain in last 3 laps",0,0,0,1,1,Race circuit,Clockwise,7.004,44.0,308.052,106995.0,107359.0,107116.33333333331,26,0,13,1,1,0,1,0,0,1,0,1,1,2,2,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +22.0,1,3,6.0,44,4989933.0,20.0,2.0,108135.0,233.175,hamilton,44.0,British,mclaren,British,2008,13,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,4.0,119.0,2.0,5.0,106887.0,106088.0,107338.0,39,23,"Cloudy, rain in last 3 laps",0,0,0,1,1,Race circuit,Clockwise,7.004,44.0,308.052,106088.0,107338.0,106771.0,22,1,30,7,2,1,0,2,0,0,0,0,1,0,0,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +3.0,5,2,8.0,44,4988777.0,36.0,7.0,109067.0,231.182,heidfeld,43.0,German,bmw_sauber,German,2008,13,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,107.0,3.0,1.0,107419.0,106311.0,108315.0,47,31,"Cloudy, rain in last 3 laps",0,0,0,1,1,Race circuit,Clockwise,7.004,44.0,308.052,106311.0,108315.0,107348.33333333331,29,2,48,3,3,0,2,1,1,0,0,2,1,0,0,1,1,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +4.0,8,6,3.0,44,4994431.0,36.0,5.0,108965.0,231.399,kubica,88.0,Polish,bmw_sauber,German,2008,13,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,1.0,107.0,3.0,1.0,107093.0,106494.0,108763.0,40,24,"Cloudy, rain in last 3 laps",0,0,0,1,1,Race circuit,Clockwise,7.004,44.0,308.052,106494.0,108763.0,107450.0,22,2,35,5,2,2,2,1,0,1,1,1,0,0,0,0,1,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +2.0,2,1,10.0,44,4979394.0,26.0,3.0,108222.0,232.987,massa,19.0,Brazilian,ferrari,Italian,2008,13,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,4.0,131.0,1.0,7.0,106873.0,106391.0,107678.0,43,27,"Cloudy, rain in last 3 laps",0,0,0,1,1,Race circuit,Clockwise,7.004,44.0,308.052,106391.0,107678.0,106980.66666666669,25,2,48,7,1,2,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +8.0,19,14,0.0,43,,35.0,17.0,110970.0,227.218,nakajima,48.0,Japanese,williams,British,2008,13,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,+1 Lap,0.0,17.0,7.0,0.0,108268.0,108268.0,108268.0,39,23,"Cloudy, rain in last 3 laps",0,0,0,1,1,Race circuit,Clockwise,7.004,44.0,308.052,108268.0,108268.0,108268.0,22,1,14,0,0,0,0,0,1,2,1,0,0,0,0,1,2,3,0,1,0,58.0,72.0,78.0,73.0,72.0 +7.0,15,12,0.0,43,,32.0,15.0,110656.0,227.862,rosberg,6.0,German,williams,British,2008,13,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,+1 Lap,0.0,17.0,7.0,0.0,107503.0,107429.0,107429.0,39,23,"Cloudy, rain in last 3 laps",0,0,0,1,1,Race circuit,Clockwise,7.004,44.0,308.052,107429.0,107503.0,107453.66666666669,21,2,48,1,0,1,0,0,0,0,3,1,2,0,0,0,3,0,2,0,0,72.0,76.0,76.0,76.0,74.0 +20.0,18,13,0.0,43,,27.0,13.0,110487.0,228.211,sutil,99.0,German,force_india,Indian,2008,13,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,+1 Lap,0.0,0.0,10.0,0.0,108226.0,108226.0,108226.0,41,25,"Cloudy, rain in last 3 laps",0,0,0,1,1,Race circuit,Clockwise,7.004,44.0,308.052,108226.0,108226.0,108226.0,24,1,30,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,2,0,1,58.0,72.0,78.0,73.0,72.0 +11.0,11,16,0.0,43,,32.0,14.0,110543.0,228.095,trulli,75.0,Italian,toyota,Japanese,2008,13,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,+1 Lap,0.0,41.0,4.0,0.0,107400.0,106949.0,106949.0,50,34,"Cloudy, rain in last 3 laps",0,0,0,1,1,Race circuit,Clockwise,7.004,44.0,308.052,106949.0,107400.0,107099.33333333331,32,2,48,1,0,1,1,1,2,2,1,1,1,0,0,1,0,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +15.0,10,5,4.0,44,4993970.0,16.0,8.0,109086.0,231.142,vettel,5.0,German,toro_rosso,Italian,2008,13,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,17.0,8.0,0.0,107152.0,106804.0,110319.0,37,21,"Cloudy, rain in last 3 laps",0,0,0,1,1,Race circuit,Clockwise,7.004,44.0,308.052,106804.0,110319.0,108091.66666666669,20,1,21,0,0,0,0,1,1,0,2,0,0,0,1,0,0,0,0,1,1,58.0,72.0,78.0,73.0,72.0 +10.0,7,8,1.0,44,5022170.0,34.0,10.0,109515.0,230.236,webber,91.0,Australian,red_bull,Austrian,2008,13,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,25.0,6.0,0.0,107270.0,106814.0,108736.0,48,32,"Cloudy, rain in last 3 laps",0,0,0,1,1,Race circuit,Clockwise,7.004,44.0,308.052,106814.0,108736.0,107606.66666666669,30,2,48,0,0,0,1,1,1,3,0,1,1,0,2,0,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +5.0,8,4,5.0,53,5231397.0,51.0,9.0,89961.0,231.82,alonso,14.0,Spanish,renault,French,2008,14,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,41.0,5.0,0.0,96297.0,96518.0,99751.0,43,27,"Heavy rain, dry towards the end",0,0,1,1,0,Race circuit,Clockwise,5.793,51.0,295.134,96297.0,99751.0,97522.0,25,2,49,0,0,0,3,0,2,0,2,0,2,1,0,0,0,1,1,0,0,72.0,76.0,76.0,76.0,74.0 +17.0,16,17,0.0,52,,42.0,19.0,93918.0,222.053,barrichello,96.0,Brazilian,honda,Japanese,2008,14,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,14.0,9.0,0.0,96510.0,96510.0,96510.0,52,36,"Heavy rain, dry towards the end",0,0,1,1,0,Race circuit,Clockwise,5.793,51.0,295.134,96510.0,96510.0,96510.0,34,2,49,1,0,1,0,0,1,1,0,0,0,1,0,1,2,0,3,0,1,72.0,76.0,76.0,76.0,74.0 +14.0,4,18,0.0,52,,52.0,2.0,89258.0,233.646,bourdais,39.0,French,toro_rosso,Italian,2008,14,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,27.0,6.0,1.0,95543.0,96175.0,98445.0,45,29,"Heavy rain, dry towards the end",0,0,1,1,0,Race circuit,Clockwise,5.793,51.0,295.134,95543.0,98445.0,96721.0,29,0,14,0,0,0,0,0,0,2,0,0,1,1,1,1,0,1,0,1,2,58.0,72.0,78.0,73.0,72.0 +16.0,19,15,0.0,53,5280864.0,52.0,7.0,89827.0,232.166,button,22.0,British,honda,Japanese,2008,14,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,14.0,9.0,0.0,97006.0,97006.0,97006.0,44,28,"Heavy rain, dry towards the end",0,0,1,1,0,Race circuit,Clockwise,5.793,51.0,295.134,97006.0,97006.0,97006.0,26,2,49,0,0,0,0,0,1,0,0,0,1,3,1,1,0,2,0,1,1,72.0,76.0,76.0,76.0,74.0 +9.0,13,16,0.0,52,,49.0,17.0,92459.0,225.557,coulthard,68.0,British,red_bull,Austrian,2008,14,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,26.0,7.0,0.0,96485.0,97284.0,97284.0,53,37,"Heavy rain, dry towards the end",0,0,1,1,0,Race circuit,Clockwise,5.793,51.0,295.134,96485.0,97284.0,97017.66666666669,35,2,49,1,0,1,0,0,0,0,0,3,0,2,1,1,1,0,0,1,1,72.0,76.0,76.0,76.0,74.0 +12.0,9,11,0.0,53,5266382.0,53.0,8.0,89948.0,231.853,glock,65.0,German,toyota,Japanese,2008,14,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,41.0,4.0,0.0,95737.0,96525.0,99787.0,42,26,"Heavy rain, dry towards the end",0,0,1,1,0,Race circuit,Clockwise,5.793,51.0,295.134,95737.0,99787.0,97349.66666666669,26,0,14,1,1,0,1,0,0,1,0,2,1,2,2,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +22.0,15,7,2.0,53,5237406.0,52.0,5.0,89721.0,232.44,hamilton,44.0,British,mclaren,British,2008,14,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,4.0,129.0,2.0,5.0,95394.0,99265.0,99265.0,39,23,"Heavy rain, dry towards the end",0,0,1,1,0,Race circuit,Clockwise,5.793,51.0,295.134,95394.0,99265.0,97974.66666666669,22,1,31,8,2,2,0,2,0,0,0,0,1,0,0,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +3.0,10,5,4.0,53,5235242.0,53.0,6.0,89807.0,232.217,heidfeld,43.0,German,bmw_sauber,German,2008,14,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,117.0,3.0,1.0,95709.0,96626.0,99906.0,47,31,"Heavy rain, dry towards the end",0,0,1,1,0,Race circuit,Clockwise,5.793,51.0,295.134,95709.0,99906.0,97413.66666666669,29,2,49,4,4,0,2,1,1,0,0,2,1,0,0,1,1,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +23.0,2,2,8.0,53,5220006.0,53.0,13.0,90300.0,230.95,kovalainen,52.0,Finnish,mclaren,British,2008,14,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,1.0,129.0,2.0,5.0,95214.0,95843.0,97631.0,43,27,"Heavy rain, dry towards the end",0,0,1,1,0,Race circuit,Clockwise,5.793,51.0,295.134,95214.0,97631.0,96229.33333333331,26,1,31,2,0,1,2,4,0,0,1,1,1,0,1,0,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +4.0,11,3,6.0,53,5227965.0,52.0,12.0,90298.0,230.955,kubica,88.0,Polish,bmw_sauber,German,2008,14,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,1.0,117.0,3.0,1.0,95553.0,96697.0,96697.0,40,24,"Heavy rain, dry towards the end",0,0,1,1,0,Race circuit,Clockwise,5.793,51.0,295.134,95553.0,96697.0,96315.66666666669,22,2,36,5,2,2,2,1,1,1,1,1,0,0,0,0,1,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +2.0,6,6,3.0,53,5236310.0,52.0,4.0,89696.0,232.505,massa,19.0,Brazilian,ferrari,Italian,2008,14,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,5.0,134.0,1.0,7.0,95536.0,96676.0,98894.0,43,27,"Heavy rain, dry towards the end",0,0,1,1,0,Race circuit,Clockwise,5.793,51.0,295.134,95536.0,98894.0,97035.33333333331,25,2,49,8,1,2,0,1,0,0,0,0,0,0,0,2,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +8.0,18,12,0.0,53,5269509.0,53.0,11.0,90215.0,231.167,nakajima,48.0,Japanese,williams,British,2008,14,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,17.0,8.0,0.0,96653.0,96653.0,96653.0,39,23,"Heavy rain, dry towards the end",0,0,1,1,0,Race circuit,Clockwise,5.793,51.0,295.134,96653.0,96653.0,96653.0,22,1,15,0,0,0,0,0,1,2,1,0,0,0,0,1,3,3,0,1,0,58.0,72.0,78.0,73.0,72.0 +6.0,17,10,0.0,53,5261939.0,53.0,16.0,90918.0,229.38,piquet_jr,56.0,Brazilian,renault,French,2008,14,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,41.0,5.0,0.0,96630.0,96630.0,96630.0,39,23,"Heavy rain, dry towards the end",0,0,1,1,0,Race circuit,Clockwise,5.793,51.0,295.134,96630.0,96630.0,96630.0,23,0,14,1,1,0,0,0,1,1,0,0,0,2,1,0,0,1,1,2,0,58.0,72.0,78.0,73.0,72.0 +1.0,14,9,0.0,53,5246962.0,53.0,1.0,88047.0,236.859,raikkonen,7.0,Finnish,ferrari,Italian,2008,14,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,2.0,134.0,1.0,7.0,95965.0,97522.0,97522.0,45,29,"Heavy rain, dry towards the end",0,0,1,1,0,Race circuit,Clockwise,5.793,51.0,295.134,95965.0,97522.0,97003.0,27,2,49,6,2,2,1,0,1,0,1,1,0,0,0,0,0,0,0,0,3,72.0,76.0,76.0,76.0,74.0 +7.0,5,14,0.0,53,5276129.0,53.0,10.0,90019.0,231.671,rosberg,6.0,German,williams,British,2008,14,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,17.0,8.0,0.0,95485.0,95898.0,98767.0,39,23,"Heavy rain, dry towards the end",0,0,1,1,0,Race circuit,Clockwise,5.793,51.0,295.134,95485.0,98767.0,96716.66666666669,21,2,49,1,0,1,0,0,0,0,3,1,2,0,1,0,3,0,2,0,0,72.0,76.0,76.0,76.0,74.0 +20.0,20,19,0.0,51,,51.0,18.0,93458.0,223.146,sutil,99.0,German,force_india,Indian,2008,14,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+2 Laps,0.0,0.0,10.0,0.0,97417.0,97417.0,97417.0,41,25,"Heavy rain, dry towards the end",0,0,1,1,0,Race circuit,Clockwise,5.793,51.0,295.134,97417.0,97417.0,97417.0,24,1,31,0,0,0,0,0,0,0,0,0,0,0,0,1,0,2,2,0,1,58.0,72.0,78.0,73.0,72.0 +11.0,7,13,0.0,53,5273448.0,52.0,15.0,90853.0,229.544,trulli,75.0,Italian,toyota,Japanese,2008,14,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,41.0,4.0,0.0,95906.0,96008.0,99152.0,50,34,"Heavy rain, dry towards the end",0,0,1,1,0,Race circuit,Clockwise,5.793,51.0,295.134,95906.0,99152.0,97022.0,32,2,49,1,0,1,1,1,2,2,1,1,1,0,0,1,0,1,1,0,0,72.0,76.0,76.0,76.0,74.0 +15.0,1,1,10.0,53,5207494.0,53.0,14.0,90510.0,230.414,vettel,5.0,German,toro_rosso,Italian,2008,14,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,27.0,6.0,1.0,95464.0,95837.0,97555.0,37,21,"Heavy rain, dry towards the end",0,0,1,1,0,Race circuit,Clockwise,5.793,51.0,295.134,95464.0,97555.0,96285.33333333331,20,1,22,0,0,0,0,2,1,0,2,0,0,0,1,0,0,0,0,1,1,58.0,72.0,78.0,73.0,72.0 +10.0,3,8,1.0,53,5239542.0,52.0,3.0,89681.0,232.544,webber,91.0,Australian,red_bull,Austrian,2008,14,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,26.0,7.0,0.0,96001.0,96306.0,98117.0,48,32,"Heavy rain, dry towards the end",0,0,1,1,0,Race circuit,Clockwise,5.793,51.0,295.134,96001.0,98117.0,96808.0,30,2,49,0,0,0,1,1,1,3,1,1,1,0,2,0,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +5.0,15,1,10.0,61,7036304.0,55.0,3.0,105768.0,172.464,alonso,14.0,Spanish,renault,French,2008,15,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,51.0,4.0,0.0,104971.0,104971.0,104971.0,43,27,"Dry, Air Temp: 28 °C (82 °F), Wind Speed: 2.2 metres per second (7.2 ft/s), Humidity: 79%",0,0,1,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,104971.0,104971.0,104971.0,25,2,50,0,0,0,4,0,2,0,2,0,2,1,0,0,0,1,1,0,0,72.0,76.0,76.0,76.0,74.0 +14.0,17,12,0.0,61,7065736.0,29.0,14.0,107820.0,169.181,bourdais,39.0,French,toro_rosso,Italian,2008,15,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,31.0,6.0,1.0,106389.0,106389.0,106389.0,45,29,"Dry, Air Temp: 28 °C (82 °F), Wind Speed: 2.2 metres per second (7.2 ft/s), Humidity: 79%",0,0,1,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,106389.0,106389.0,106389.0,29,0,15,0,0,0,0,0,0,2,0,0,1,1,1,1,0,1,0,1,3,58.0,72.0,78.0,73.0,72.0 +16.0,12,9,0.0,61,7056189.0,61.0,15.0,108128.0,168.7,button,22.0,British,honda,Japanese,2008,15,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,14.0,9.0,0.0,105660.0,105133.0,105133.0,44,28,"Dry, Air Temp: 28 °C (82 °F), Wind Speed: 2.2 metres per second (7.2 ft/s), Humidity: 79%",0,0,1,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,105133.0,105660.0,105308.66666666669,26,2,50,0,0,0,0,0,1,0,0,0,1,3,1,1,0,3,0,1,1,72.0,76.0,76.0,76.0,74.0 +9.0,14,7,2.0,61,7052691.0,41.0,13.0,107562.0,169.587,coulthard,68.0,British,red_bull,Austrian,2008,15,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,28.0,7.0,0.0,106028.0,105298.0,105298.0,53,37,"Dry, Air Temp: 28 °C (82 °F), Wind Speed: 2.2 metres per second (7.2 ft/s), Humidity: 79%",0,0,1,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,105298.0,106028.0,105541.33333333331,35,2,50,1,0,1,0,0,0,0,0,3,0,2,1,1,1,0,1,1,1,72.0,76.0,76.0,76.0,74.0 +21.0,20,14,0.0,61,7079875.0,28.0,16.0,109101.0,167.195,fisichella,84.0,Italian,force_india,Indian,2008,15,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,0.0,10.0,0.0,107940.0,107940.0,107940.0,51,35,"Dry, Air Temp: 28 °C (82 °F), Wind Speed: 2.2 metres per second (7.2 ft/s), Humidity: 79%",0,0,1,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,107940.0,107940.0,107940.0,33,2,50,0,0,0,0,0,0,0,0,0,1,0,2,0,2,1,1,2,2,72.0,76.0,76.0,76.0,74.0 +12.0,7,4,5.0,61,7044459.0,50.0,8.0,107044.0,170.408,glock,65.0,German,toyota,Japanese,2008,15,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,46.0,5.0,0.0,105184.0,104441.0,106328.0,42,26,"Dry, Air Temp: 28 °C (82 °F), Wind Speed: 2.2 metres per second (7.2 ft/s), Humidity: 79%",0,0,1,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,104441.0,106328.0,105317.66666666669,26,0,15,1,1,0,1,0,0,1,0,2,1,3,2,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +22.0,2,3,6.0,61,7042221.0,14.0,4.0,106072.0,171.969,hamilton,44.0,British,mclaren,British,2008,15,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,4.0,135.0,1.0,5.0,104501.0,104932.0,105465.0,39,23,"Dry, Air Temp: 28 °C (82 °F), Wind Speed: 2.2 metres per second (7.2 ft/s), Humidity: 79%",0,0,1,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,104501.0,105465.0,104966.0,22,1,32,8,2,2,0,2,0,1,0,0,1,0,0,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +3.0,9,6,3.0,61,7047405.0,14.0,11.0,107306.0,169.992,heidfeld,43.0,German,bmw_sauber,German,2008,15,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,120.0,3.0,1.0,105548.0,104520.0,105964.0,47,31,"Dry, Air Temp: 28 °C (82 °F), Wind Speed: 2.2 metres per second (7.2 ft/s), Humidity: 79%",0,0,1,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,104520.0,105964.0,105344.0,29,2,50,4,4,0,2,2,1,0,0,2,1,0,0,1,1,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +23.0,5,10,0.0,61,7063206.0,14.0,12.0,107337.0,169.943,kovalainen,52.0,Finnish,mclaren,British,2008,15,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,1.0,135.0,1.0,5.0,104311.0,104207.0,105873.0,43,27,"Dry, Air Temp: 28 °C (82 °F), Wind Speed: 2.2 metres per second (7.2 ft/s), Humidity: 79%",0,0,1,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,104207.0,105873.0,104797.0,26,1,32,3,1,1,2,4,0,0,1,1,1,0,1,0,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +4.0,4,11,0.0,61,7064279.0,14.0,6.0,106899.0,170.639,kubica,88.0,Polish,bmw_sauber,German,2008,15,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,1.0,120.0,3.0,1.0,104740.0,104519.0,105779.0,40,24,"Dry, Air Temp: 28 °C (82 °F), Wind Speed: 2.2 metres per second (7.2 ft/s), Humidity: 79%",0,0,1,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,104519.0,105779.0,105012.66666666669,22,2,37,6,2,3,2,1,1,1,1,1,0,0,0,0,1,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +2.0,1,13,0.0,61,7071474.0,13.0,2.0,105757.0,172.482,massa,19.0,Brazilian,ferrari,Italian,2008,15,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,5.0,134.0,2.0,7.0,104519.0,104014.0,104801.0,43,27,"Dry, Air Temp: 28 °C (82 °F), Wind Speed: 2.2 metres per second (7.2 ft/s), Humidity: 79%",0,0,1,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,104014.0,104801.0,104444.66666666669,25,2,50,8,1,2,0,1,1,0,0,0,0,0,0,2,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +8.0,10,8,1.0,61,7054793.0,13.0,10.0,107287.0,170.022,nakajima,48.0,Japanese,williams,British,2008,15,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,26.0,8.0,0.0,105127.0,104826.0,107547.0,39,23,"Dry, Air Temp: 28 °C (82 °F), Wind Speed: 2.2 metres per second (7.2 ft/s), Humidity: 79%",0,0,1,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,104826.0,107547.0,105833.33333333331,22,1,16,0,0,0,0,0,1,2,1,0,0,0,1,1,3,3,0,1,0,58.0,72.0,78.0,73.0,72.0 +7.0,8,2,8.0,61,7039261.0,39.0,5.0,106454.0,171.352,rosberg,6.0,German,williams,British,2008,15,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,26.0,8.0,0.0,105103.0,104429.0,106611.0,39,23,"Dry, Air Temp: 28 °C (82 °F), Wind Speed: 2.2 metres per second (7.2 ft/s), Humidity: 79%",0,0,1,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,104429.0,106611.0,105381.0,21,2,50,1,0,1,0,0,0,0,3,1,2,0,1,0,4,0,2,0,0,72.0,76.0,76.0,76.0,74.0 +15.0,6,5,4.0,61,7046572.0,13.0,9.0,107271.0,170.047,vettel,5.0,German,toro_rosso,Italian,2008,15,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,1.0,31.0,6.0,1.0,105042.0,104261.0,106244.0,37,21,"Dry, Air Temp: 28 °C (82 °F), Wind Speed: 2.2 metres per second (7.2 ft/s), Humidity: 79%",0,0,1,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,104261.0,106244.0,105182.33333333331,20,1,23,1,0,0,0,2,1,0,2,0,0,0,1,0,0,0,0,1,1,58.0,72.0,78.0,73.0,72.0 +5.0,4,1,10.0,67,5421892.0,41.0,3.0,79101.0,207.668,alonso,14.0,Spanish,renault,French,2008,16,Japanese Grand Prix,16200000.0,fuji,Oyama,Japan,35.3717,138.927,583.0,Finished,1.0,66.0,4.0,1.0,78290.0,77871.0,78852.0,43,27,Cloudy with temperatures reaching up to 17 °C (63 °F)[4],0,0,0,0,1,Race circuit,Clockwise,4.563,73.0,318.207,77871.0,78852.0,78337.66666666667,25,2,51,1,0,0,4,0,2,0,2,0,2,1,0,0,0,1,1,0,0,72.0,76.0,76.0,76.0,74.0 +17.0,17,13,0.0,66,,66.0,16.0,80575.0,203.869,barrichello,96.0,Brazilian,honda,Japanese,2008,16,Japanese Grand Prix,16200000.0,fuji,Oyama,Japan,35.3717,138.927,583.0,+1 Lap,0.0,14.0,9.0,0.0,78882.0,78882.0,78882.0,52,36,Cloudy with temperatures reaching up to 17 °C (63 °F)[4],0,0,0,0,1,Race circuit,Clockwise,4.563,73.0,318.207,78882.0,78882.0,78882.0,34,2,51,1,0,1,0,0,1,1,0,0,0,1,0,1,2,0,3,1,1,72.0,76.0,76.0,76.0,74.0 +14.0,10,10,0.0,67,5480977.0,49.0,6.0,79262.0,207.246,bourdais,39.0,French,toro_rosso,Italian,2008,16,Japanese Grand Prix,16200000.0,fuji,Oyama,Japan,35.3717,138.927,583.0,Finished,0.0,34.0,6.0,1.0,78593.0,78102.0,80167.0,45,29,Cloudy with temperatures reaching up to 17 °C (63 °F)[4],0,0,0,0,1,Race circuit,Clockwise,4.563,73.0,318.207,78102.0,80167.0,78954.0,29,0,16,0,0,0,0,0,0,2,0,0,1,1,2,1,0,1,0,1,3,58.0,72.0,78.0,73.0,72.0 +16.0,18,14,0.0,66,,66.0,17.0,80849.0,203.178,button,22.0,British,honda,Japanese,2008,16,Japanese Grand Prix,16200000.0,fuji,Oyama,Japan,35.3717,138.927,583.0,+1 Lap,0.0,14.0,9.0,0.0,79100.0,79100.0,79100.0,44,28,Cloudy with temperatures reaching up to 17 °C (63 °F)[4],0,0,0,0,1,Race circuit,Clockwise,4.563,73.0,318.207,79100.0,79100.0,79100.0,26,2,51,0,0,0,0,0,1,0,0,1,1,3,1,1,0,3,0,1,1,72.0,76.0,76.0,76.0,74.0 +22.0,1,12,0.0,67,5500792.0,65.0,11.0,79560.0,206.47,hamilton,44.0,British,mclaren,British,2008,16,Japanese Grand Prix,16200000.0,fuji,Oyama,Japan,35.3717,138.927,583.0,Finished,4.0,135.0,2.0,5.0,78071.0,77462.0,78404.0,39,23,Cloudy with temperatures reaching up to 17 °C (63 °F)[4],0,0,0,0,1,Race circuit,Clockwise,4.563,73.0,318.207,77462.0,78404.0,77979.0,22,1,33,9,2,3,0,2,0,1,0,0,1,0,0,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +3.0,16,9,0.0,67,5476012.0,67.0,8.0,79461.0,206.727,heidfeld,43.0,German,bmw_sauber,German,2008,16,Japanese Grand Prix,16200000.0,fuji,Oyama,Japan,35.3717,138.927,583.0,Finished,0.0,128.0,3.0,1.0,78835.0,78835.0,78835.0,47,31,Cloudy with temperatures reaching up to 17 °C (63 °F)[4],0,0,0,0,1,Race circuit,Clockwise,4.563,73.0,318.207,78835.0,78835.0,78835.0,29,2,51,4,4,0,2,2,2,0,0,2,1,0,0,1,1,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +4.0,6,2,8.0,67,5427175.0,16.0,7.0,79292.0,207.168,kubica,88.0,Polish,bmw_sauber,German,2008,16,Japanese Grand Prix,16200000.0,fuji,Oyama,Japan,35.3717,138.927,583.0,Finished,1.0,128.0,3.0,1.0,78684.0,77931.0,78979.0,40,24,Cloudy with temperatures reaching up to 17 °C (63 °F)[4],0,0,0,0,1,Race circuit,Clockwise,4.563,73.0,318.207,77931.0,78979.0,78531.33333333333,22,2,38,6,2,3,2,1,1,1,1,1,0,1,0,0,1,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +2.0,5,7,2.0,67,5468050.0,55.0,1.0,78426.0,209.456,massa,19.0,Brazilian,ferrari,Italian,2008,16,Japanese Grand Prix,16200000.0,fuji,Oyama,Japan,35.3717,138.927,583.0,Finished,5.0,142.0,1.0,7.0,78110.0,77287.0,78874.0,43,27,Cloudy with temperatures reaching up to 17 °C (63 °F)[4],0,0,0,0,1,Race circuit,Clockwise,4.563,73.0,318.207,77287.0,78874.0,78090.33333333333,25,2,51,8,1,2,0,1,1,0,0,0,0,0,0,3,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +8.0,14,15,0.0,66,,32.0,15.0,80364.0,204.404,nakajima,48.0,Japanese,williams,British,2008,16,Japanese Grand Prix,16200000.0,fuji,Oyama,Japan,35.3717,138.927,583.0,+1 Lap,0.0,26.0,8.0,0.0,78640.0,78594.0,78594.0,39,23,Cloudy with temperatures reaching up to 17 °C (63 °F)[4],0,0,0,0,1,Race circuit,Clockwise,4.563,73.0,318.207,78594.0,78640.0,78609.33333333333,22,1,17,0,0,0,0,0,1,2,2,0,0,0,1,1,3,3,0,1,0,58.0,72.0,78.0,73.0,72.0 +6.0,12,4,5.0,67,5442462.0,54.0,4.0,79199.0,207.411,piquet_jr,56.0,Brazilian,renault,French,2008,16,Japanese Grand Prix,16200000.0,fuji,Oyama,Japan,35.3717,138.927,583.0,Finished,0.0,66.0,4.0,2.0,78300.0,78274.0,78274.0,39,23,Cloudy with temperatures reaching up to 17 °C (63 °F)[4],0,0,0,0,1,Race circuit,Clockwise,4.563,73.0,318.207,78274.0,78300.0,78282.66666666667,23,0,16,1,1,0,0,0,1,1,0,0,1,2,1,0,0,1,1,2,0,58.0,72.0,78.0,73.0,72.0 +1.0,2,3,6.0,67,5428292.0,66.0,2.0,78995.0,207.947,raikkonen,7.0,Finnish,ferrari,Italian,2008,16,Japanese Grand Prix,16200000.0,fuji,Oyama,Japan,35.3717,138.927,583.0,Finished,2.0,142.0,1.0,7.0,78160.0,77733.0,78644.0,45,29,Cloudy with temperatures reaching up to 17 °C (63 °F)[4],0,0,0,0,1,Race circuit,Clockwise,4.563,73.0,318.207,77733.0,78644.0,78179.0,27,2,51,6,2,2,1,0,1,0,1,2,0,0,0,0,0,1,0,0,3,72.0,76.0,76.0,76.0,74.0 +7.0,15,11,0.0,67,5483988.0,66.0,10.0,79531.0,206.545,rosberg,6.0,German,williams,British,2008,16,Japanese Grand Prix,16200000.0,fuji,Oyama,Japan,35.3717,138.927,583.0,Finished,0.0,26.0,8.0,0.0,78740.0,78672.0,78672.0,39,23,Cloudy with temperatures reaching up to 17 °C (63 °F)[4],0,0,0,0,1,Race circuit,Clockwise,4.563,73.0,318.207,78672.0,78740.0,78694.66666666667,21,2,51,2,1,1,0,0,0,0,3,1,2,0,1,0,4,0,2,0,0,72.0,76.0,76.0,76.0,74.0 +11.0,7,5,4.0,67,5445659.0,18.0,9.0,79524.0,206.564,trulli,75.0,Italian,toyota,Japanese,2008,16,Japanese Grand Prix,16200000.0,fuji,Oyama,Japan,35.3717,138.927,583.0,Finished,0.0,50.0,5.0,0.0,78501.0,77541.0,79026.0,50,34,Cloudy with temperatures reaching up to 17 °C (63 °F)[4],0,0,0,0,1,Race circuit,Clockwise,4.563,73.0,318.207,77541.0,79026.0,78356.0,32,2,51,1,0,1,1,1,2,2,1,1,1,0,0,2,0,1,2,0,0,72.0,76.0,76.0,76.0,74.0 +15.0,9,6,3.0,67,5461099.0,21.0,12.0,79617.0,206.322,vettel,5.0,German,toro_rosso,Italian,2008,16,Japanese Grand Prix,16200000.0,fuji,Oyama,Japan,35.3717,138.927,583.0,Finished,1.0,34.0,6.0,1.0,78559.0,77714.0,79638.0,37,21,Cloudy with temperatures reaching up to 17 °C (63 °F)[4],0,0,0,0,1,Race circuit,Clockwise,4.563,73.0,318.207,77714.0,79638.0,78637.0,20,1,24,1,0,0,0,3,1,0,2,0,0,0,1,0,0,0,0,1,1,58.0,72.0,78.0,73.0,72.0 +10.0,13,8,1.0,67,5472703.0,30.0,13.0,79820.0,205.798,webber,91.0,Australian,red_bull,Austrian,2008,16,Japanese Grand Prix,16200000.0,fuji,Oyama,Japan,35.3717,138.927,583.0,Finished,0.0,29.0,7.0,0.0,78372.0,78354.0,78354.0,48,32,Cloudy with temperatures reaching up to 17 °C (63 °F)[4],0,0,0,0,1,Race circuit,Clockwise,4.563,73.0,318.207,78354.0,78372.0,78360.0,30,2,51,0,0,0,1,1,1,3,2,1,1,0,2,0,0,0,0,1,1,72.0,76.0,76.0,76.0,74.0 +5.0,4,4,5.0,56,5535773.0,56.0,5.0,96659.0,203.018,alonso,14.0,Spanish,renault,French,2008,17,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,2.0,72.0,4.0,2.0,95769.0,95461.0,96927.0,43,27,Dry,0,0,1,0,0,Race circuit,Clockwise,5.451,56.0,305.066,95461.0,96927.0,96052.33333333331,25,2,52,2,0,0,4,0,2,0,2,0,2,1,0,0,0,1,1,0,0,72.0,76.0,76.0,76.0,74.0 +17.0,13,11,0.0,56,5602464.0,56.0,16.0,97845.0,200.558,barrichello,96.0,Brazilian,honda,Japanese,2008,17,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,14.0,9.0,0.0,96640.0,96079.0,96079.0,52,36,Dry,0,0,1,0,0,Race circuit,Clockwise,5.451,56.0,305.066,96079.0,96640.0,96266.0,34,2,52,1,0,1,0,0,1,1,0,0,0,1,0,2,2,0,3,1,1,72.0,76.0,76.0,76.0,74.0 +14.0,8,13,0.0,56,5608860.0,36.0,12.0,97452.0,201.366,bourdais,39.0,French,toro_rosso,Italian,2008,17,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,34.0,6.0,1.0,96239.0,95478.0,98885.0,45,29,Dry,0,0,1,0,0,Race circuit,Clockwise,5.451,56.0,305.066,95478.0,98885.0,96867.33333333331,29,0,17,0,0,0,0,0,0,2,0,0,2,1,2,1,0,1,0,1,3,58.0,72.0,78.0,73.0,72.0 +16.0,18,16,0.0,55,,54.0,15.0,97773.0,200.705,button,22.0,British,honda,Japanese,2008,17,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+1 Lap,0.0,14.0,9.0,0.0,97053.0,97053.0,97053.0,44,28,Dry,0,0,1,0,0,Race circuit,Clockwise,5.451,56.0,305.066,97053.0,97053.0,97053.0,26,2,52,0,0,0,0,0,1,0,0,1,1,3,1,1,1,3,0,1,1,72.0,76.0,76.0,76.0,74.0 +9.0,15,10,0.0,56,5592245.0,27.0,14.0,97753.0,200.746,coulthard,68.0,British,red_bull,Austrian,2008,17,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,29.0,7.0,0.0,96731.0,96731.0,96731.0,53,37,Dry,0,0,1,0,0,Race circuit,Clockwise,5.451,56.0,305.066,96731.0,96731.0,96731.0,35,2,52,1,0,1,0,0,0,1,0,3,0,2,1,1,1,0,1,1,1,72.0,76.0,76.0,76.0,74.0 +21.0,20,17,0.0,55,,54.0,18.0,98372.0,199.483,fisichella,84.0,Italian,force_india,Indian,2008,17,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+1 Lap,0.0,0.0,10.0,0.0,97739.0,97739.0,97739.0,51,35,Dry,0,0,1,0,0,Race circuit,Clockwise,5.451,56.0,305.066,97739.0,97739.0,97739.0,33,2,52,0,0,0,0,0,0,0,0,0,1,0,2,0,3,1,2,2,2,72.0,76.0,76.0,76.0,74.0 +12.0,12,7,2.0,56,5559125.0,56.0,6.0,96727.0,202.876,glock,65.0,German,toyota,Japanese,2008,17,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,52.0,5.0,0.0,96210.0,95937.0,95937.0,42,26,Dry,0,0,1,0,0,Race circuit,Clockwise,5.451,56.0,305.066,95937.0,96210.0,96028.0,26,0,17,1,1,0,2,0,0,1,0,2,1,3,2,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +22.0,1,1,10.0,56,5517403.0,13.0,1.0,96325.0,203.722,hamilton,44.0,British,mclaren,British,2008,17,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,4.0,145.0,2.0,6.0,95566.0,94947.0,96303.0,39,23,Dry,0,0,1,0,0,Race circuit,Clockwise,5.451,56.0,305.066,94947.0,96303.0,95605.33333333331,22,1,34,9,2,3,0,2,0,1,0,0,1,0,1,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +3.0,9,5,4.0,56,5546326.0,56.0,3.0,96498.0,203.357,heidfeld,43.0,German,bmw_sauber,German,2008,17,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,135.0,3.0,1.0,96224.0,95403.0,97201.0,47,31,Dry,0,0,1,0,0,Race circuit,Clockwise,5.451,56.0,305.066,95403.0,97201.0,96276.0,29,2,52,4,4,0,2,2,2,0,0,3,1,0,0,1,1,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +4.0,11,6,3.0,56,5550622.0,56.0,7.0,96854.0,202.61,kubica,88.0,Polish,bmw_sauber,German,2008,17,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,1.0,135.0,3.0,1.0,96503.0,95814.0,95814.0,40,24,Dry,0,0,1,0,0,Race circuit,Clockwise,5.451,56.0,305.066,95814.0,96503.0,96043.66666666669,22,2,39,7,3,3,2,1,1,1,1,1,0,1,0,0,1,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +2.0,3,2,8.0,56,5532328.0,36.0,4.0,96591.0,203.161,massa,19.0,Brazilian,ferrari,Italian,2008,17,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,5.0,156.0,1.0,7.0,95971.0,95135.0,96889.0,43,27,Dry,0,0,1,0,0,Race circuit,Clockwise,5.451,56.0,305.066,95135.0,96889.0,95998.33333333331,25,2,52,8,1,2,0,1,1,1,0,0,0,0,0,3,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +8.0,17,12,0.0,56,5608250.0,54.0,17.0,98019.0,200.202,nakajima,48.0,Japanese,williams,British,2008,17,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,26.0,8.0,0.0,96863.0,96863.0,96863.0,39,23,Dry,0,0,1,0,0,Race circuit,Clockwise,5.451,56.0,305.066,96863.0,96863.0,96863.0,22,1,18,0,0,0,0,0,1,2,2,0,0,0,1,1,3,4,0,1,0,58.0,72.0,78.0,73.0,72.0 +6.0,10,8,1.0,56,5574048.0,56.0,8.0,96996.0,202.313,piquet_jr,56.0,Brazilian,renault,French,2008,17,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,72.0,4.0,2.0,96029.0,95722.0,95722.0,39,23,Dry,0,0,1,0,0,Race circuit,Clockwise,5.451,56.0,305.066,95722.0,96029.0,95824.33333333331,23,0,17,1,1,0,1,0,1,1,0,0,1,2,1,0,0,1,1,2,0,58.0,72.0,78.0,73.0,72.0 +1.0,2,3,6.0,56,5533848.0,14.0,2.0,96483.0,203.389,raikkonen,7.0,Finnish,ferrari,Italian,2008,17,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,2.0,156.0,1.0,7.0,95983.0,95355.0,96645.0,45,29,Dry,0,0,1,0,0,Race circuit,Clockwise,5.451,56.0,305.066,95355.0,96645.0,95994.33333333331,27,2,52,7,2,3,1,0,1,0,1,2,0,0,0,0,0,1,0,0,3,72.0,76.0,76.0,76.0,74.0 +7.0,14,15,0.0,55,,38.0,10.0,97246.0,201.793,rosberg,6.0,German,williams,British,2008,17,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+1 Lap,0.0,26.0,8.0,0.0,96434.0,96210.0,96210.0,39,23,Dry,0,0,1,0,0,Race circuit,Clockwise,5.451,56.0,305.066,96210.0,96434.0,96284.66666666669,21,2,52,2,1,1,0,0,0,0,3,1,2,1,1,0,4,0,2,0,0,72.0,76.0,76.0,76.0,74.0 +15.0,6,9,0.0,56,5581742.0,55.0,9.0,97212.0,201.863,vettel,5.0,German,toro_rosso,Italian,2008,17,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,1.0,34.0,6.0,1.0,95752.0,95386.0,97685.0,37,21,Dry,0,0,1,0,0,Race circuit,Clockwise,5.451,56.0,305.066,95386.0,97685.0,96274.33333333331,20,1,25,1,0,0,0,3,2,0,2,0,0,0,1,0,0,0,0,1,1,58.0,72.0,78.0,73.0,72.0 +10.0,16,14,0.0,56,5609825.0,10.0,13.0,97680.0,200.896,webber,91.0,Australian,red_bull,Austrian,2008,17,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,29.0,7.0,0.0,96238.0,95686.0,97083.0,48,32,Dry,0,0,1,0,0,Race circuit,Clockwise,5.451,56.0,305.066,95686.0,97083.0,96335.66666666669,30,2,52,0,0,0,1,1,1,3,3,1,1,0,2,0,0,0,0,1,1,72.0,76.0,76.0,76.0,74.0 +5.0,6,2,8.0,71,5664733.0,39.0,8.0,74229.0,208.98,alonso,14.0,Spanish,renault,French,2008,18,Brazilian Grand Prix,61200000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,2.0,80.0,4.0,2.0,72214.0,72090.0,72967.0,43,27,"Rain at beginning and end, otherwise drying",0,0,1,1,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,72090.0,72967.0,72423.66666666667,25,2,53,2,0,0,5,0,2,0,2,0,2,1,0,0,0,1,1,0,0,72.0,76.0,76.0,76.0,74.0 +17.0,15,15,0.0,70,,35.0,16.0,75414.0,205.696,barrichello,96.0,Brazilian,honda,Japanese,2008,18,Brazilian Grand Prix,61200000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,14.0,9.0,0.0,72548.0,73139.0,73139.0,52,36,"Rain at beginning and end, otherwise drying",0,0,1,1,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,72548.0,73139.0,72942.0,34,2,53,1,0,1,0,0,1,1,0,0,0,2,0,2,2,0,3,1,1,72.0,76.0,76.0,76.0,74.0 +14.0,9,14,0.0,70,,57.0,13.0,74951.0,206.967,bourdais,39.0,French,toro_rosso,Italian,2008,18,Brazilian Grand Prix,61200000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,39.0,6.0,1.0,72498.0,72075.0,74105.0,45,29,"Rain at beginning and end, otherwise drying",0,0,1,1,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,72075.0,74105.0,72892.66666666667,29,0,18,0,0,0,0,0,0,2,0,0,2,1,2,2,0,1,0,1,3,58.0,72.0,78.0,73.0,72.0 +16.0,17,13,0.0,70,,59.0,11.0,74759.0,207.498,button,22.0,British,honda,Japanese,2008,18,Brazilian Grand Prix,61200000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,14.0,9.0,0.0,72810.0,72810.0,72810.0,44,28,"Rain at beginning and end, otherwise drying",0,0,1,1,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,72810.0,72810.0,72810.0,26,2,53,0,0,0,0,0,1,0,0,1,1,3,1,1,1,3,1,1,1,72.0,76.0,76.0,76.0,74.0 +21.0,19,18,0.0,69,,36.0,15.0,75212.0,206.249,fisichella,84.0,Italian,force_india,Indian,2008,18,Brazilian Grand Prix,61200000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+2 Laps,0.0,0.0,10.0,0.0,73426.0,73426.0,73426.0,51,35,"Rain at beginning and end, otherwise drying",0,0,1,1,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,73426.0,73426.0,73426.0,33,2,53,0,0,0,0,0,0,0,0,0,1,0,2,0,3,1,2,3,2,72.0,76.0,76.0,76.0,74.0 +12.0,10,6,3.0,71,5695803.0,32.0,2.0,74057.0,209.465,glock,65.0,German,toyota,Japanese,2008,18,Brazilian Grand Prix,61200000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,56.0,5.0,0.0,72223.0,71909.0,74230.0,42,26,"Rain at beginning and end, otherwise drying",0,0,1,1,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,71909.0,74230.0,72787.33333333333,26,0,18,1,1,0,2,0,0,2,0,2,1,3,2,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +22.0,4,5,4.0,71,5690342.0,31.0,4.0,74159.0,209.177,hamilton,44.0,British,mclaren,British,2008,18,Brazilian Grand Prix,61200000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,5.0,151.0,2.0,6.0,72213.0,71856.0,72830.0,39,23,"Rain at beginning and end, otherwise drying",0,0,1,1,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,71856.0,72830.0,72299.66666666667,22,1,35,10,2,3,0,2,0,1,0,0,1,0,1,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +3.0,8,10,0.0,70,,41.0,10.0,74652.0,207.796,heidfeld,43.0,German,bmw_sauber,German,2008,18,Brazilian Grand Prix,61200000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,135.0,3.0,1.0,72371.0,72026.0,73297.0,47,31,"Rain at beginning and end, otherwise drying",0,0,1,1,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,72026.0,73297.0,72564.66666666667,29,2,53,4,4,0,2,3,2,0,0,3,1,0,0,1,1,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +23.0,5,7,2.0,71,5706509.0,36.0,6.0,74207.0,209.042,kovalainen,52.0,Finnish,mclaren,British,2008,18,Brazilian Grand Prix,61200000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,1.0,151.0,2.0,6.0,72366.0,71768.0,72917.0,43,27,"Rain at beginning and end, otherwise drying",0,0,1,1,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,71768.0,72917.0,72350.33333333333,26,1,35,3,1,1,2,4,0,0,1,1,2,0,1,0,0,0,0,2,1,58.0,72.0,78.0,73.0,72.0 +4.0,13,11,0.0,70,,61.0,9.0,74375.0,208.57,kubica,88.0,Polish,bmw_sauber,German,2008,18,Brazilian Grand Prix,61200000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,1.0,135.0,3.0,1.0,72381.0,72300.0,72300.0,40,24,"Rain at beginning and end, otherwise drying",0,0,1,1,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,72300.0,72381.0,72327.0,22,2,40,7,3,3,2,1,2,1,1,1,0,1,0,0,1,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +2.0,1,1,10.0,71,5651435.0,36.0,1.0,73736.0,210.377,massa,19.0,Brazilian,ferrari,Italian,2008,18,Brazilian Grand Prix,61200000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,5.0,172.0,1.0,8.0,71830.0,71875.0,72368.0,43,27,"Rain at beginning and end, otherwise drying",0,0,1,1,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,71830.0,72368.0,72024.33333333333,25,2,53,9,2,2,0,1,1,1,0,0,0,0,0,3,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +8.0,16,17,0.0,69,,50.0,18.0,75865.0,204.473,nakajima,48.0,Japanese,williams,British,2008,18,Brazilian Grand Prix,61200000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+2 Laps,0.0,26.0,8.0,0.0,72800.0,72800.0,72800.0,39,23,"Rain at beginning and end, otherwise drying",0,0,1,1,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,72800.0,72800.0,72800.0,22,1,19,0,0,0,0,0,1,2,2,0,0,0,2,1,3,4,0,1,0,58.0,72.0,78.0,73.0,72.0 +1.0,3,3,6.0,71,5667670.0,59.0,3.0,74117.0,209.296,raikkonen,7.0,Finnish,ferrari,Italian,2008,18,Brazilian Grand Prix,61200000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,2.0,172.0,1.0,8.0,72083.0,71950.0,72825.0,45,29,"Rain at beginning and end, otherwise drying",0,0,1,1,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,71950.0,72825.0,72286.0,27,2,53,8,2,4,1,0,1,0,1,2,0,0,0,0,0,1,0,0,3,72.0,76.0,76.0,76.0,74.0 +7.0,18,12,0.0,70,,35.0,12.0,74934.0,207.014,rosberg,6.0,German,williams,British,2008,18,Brazilian Grand Prix,61200000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,26.0,8.0,0.0,73002.0,73002.0,73002.0,39,23,"Rain at beginning and end, otherwise drying",0,0,1,1,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,73002.0,73002.0,73002.0,21,2,53,2,1,1,0,0,0,0,3,1,2,1,1,0,4,1,2,0,0,72.0,76.0,76.0,76.0,74.0 +20.0,20,16,0.0,69,,60.0,17.0,75773.0,204.721,sutil,99.0,German,force_india,Indian,2008,18,Brazilian Grand Prix,61200000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+2 Laps,0.0,0.0,10.0,0.0,73508.0,73508.0,73508.0,41,25,"Rain at beginning and end, otherwise drying",0,0,1,1,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,73508.0,73508.0,73508.0,24,1,35,0,0,0,0,0,0,0,0,0,0,0,0,1,0,2,2,1,2,58.0,72.0,78.0,73.0,72.0 +11.0,2,8,1.0,71,5719868.0,40.0,5.0,74167.0,209.155,trulli,75.0,Italian,toyota,Japanese,2008,18,Brazilian Grand Prix,61200000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,56.0,5.0,0.0,72226.0,72107.0,72737.0,50,34,"Rain at beginning and end, otherwise drying",0,0,1,1,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,72107.0,72737.0,72356.66666666667,32,2,53,1,0,1,1,2,2,2,1,1,1,0,0,2,0,1,2,0,0,72.0,76.0,76.0,76.0,74.0 +15.0,7,4,5.0,71,5689446.0,25.0,7.0,74214.0,209.022,vettel,5.0,German,toro_rosso,Italian,2008,18,Brazilian Grand Prix,61200000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,1.0,39.0,6.0,1.0,72390.0,71845.0,73082.0,37,21,"Rain at beginning and end, otherwise drying",0,0,1,1,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,71845.0,73082.0,72439.0,20,1,26,1,0,0,0,3,2,0,2,1,0,0,1,0,0,0,0,1,1,58.0,72.0,78.0,73.0,72.0 +10.0,12,9,0.0,71,5731101.0,40.0,14.0,75033.0,206.741,webber,91.0,Australian,red_bull,Austrian,2008,18,Brazilian Grand Prix,61200000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,29.0,7.0,0.0,72409.0,72289.0,72289.0,48,32,"Rain at beginning and end, otherwise drying",0,0,1,1,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,72289.0,72409.0,72329.0,30,2,53,0,0,0,1,1,1,3,3,1,1,0,2,0,1,0,0,1,1,72.0,76.0,76.0,76.0,74.0 +7.0,10,5,4.0,58,5660663.0,53.0,9.0,88712.0,215.199,alonso,14.0,Spanish,renault,French,2009,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,4.0,3.0,0.0,86026.0,85605.0,85605.0,43,28,Sunny with temperatures reaching up to 27 °C (81 °F)[2],1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,85605.0,86026.0,85745.33333333333,25,3,54,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +23.0,2,2,8.0,58,5656591.0,43.0,14.0,89066.0,214.344,barrichello,96.0,Brazilian,brawn,British,2009,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,18.0,1.0,1.0,85006.0,84783.0,86505.0,52,37,Sunny with temperatures reaching up to 27 °C (81 °F)[2],1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,84783.0,86505.0,85431.33333333333,34,3,54,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +11.0,17,8,1.0,58,5662082.0,50.0,17.0,89823.0,212.537,bourdais,39.0,French,toro_rosso,Italian,2009,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,3.0,5.0,0.0,86964.0,86964.0,86964.0,45,30,Sunny with temperatures reaching up to 27 °C (81 °F)[2],1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,86964.0,86964.0,86964.0,29,1,19,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +12.0,13,7,2.0,58,5661788.0,34.0,16.0,89230.0,213.95,buemi,92.0,Swiss,toro_rosso,Italian,2009,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,3.0,5.0,0.0,86503.0,86503.0,86503.0,36,21,Sunny with temperatures reaching up to 27 °C (81 °F)[2],1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,86503.0,86503.0,86503.0,21,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +22.0,1,1,10.0,58,5655784.0,17.0,3.0,88020.0,216.891,button,22.0,British,brawn,British,2009,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,18.0,1.0,1.0,85211.0,84855.0,86202.0,44,29,Sunny with temperatures reaching up to 27 °C (81 °F)[2],1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,84855.0,86202.0,85422.66666666667,26,3,54,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +21.0,15,11,0.0,58,5663158.0,51.0,12.0,89005.0,214.491,fisichella,84.0,Italian,force_india,Indian,2009,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,0.0,6.0,0.0,86677.0,86677.0,86677.0,51,36,Sunny with temperatures reaching up to 27 °C (81 °F)[2],1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,86677.0,86677.0,86677.0,33,3,54,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +10.0,19,4,5.0,58,5660219.0,53.0,6.0,88416.0,215.92,glock,65.0,German,toyota,Japanese,2009,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,11.0,2.0,0.0,85499.0,85281.0,86975.0,42,27,Sunny with temperatures reaching up to 27 °C (81 °F)[2],1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,85281.0,86975.0,85918.33333333333,26,1,19,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +6.0,9,10,0.0,58,5662869.0,48.0,5.0,88283.0,216.245,heidfeld,43.0,German,bmw_sauber,German,2009,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,0.0,7.0,0.0,85827.0,85504.0,85504.0,47,32,Sunny with temperatures reaching up to 27 °C (81 °F)[2],1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,85504.0,85827.0,85611.66666666667,29,3,54,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +16.0,5,6,3.0,58,5661506.0,48.0,1.0,87706.0,217.668,rosberg,6.0,German,williams,British,2009,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,3.0,4.0,0.0,85846.0,85123.0,86973.0,39,24,Sunny with temperatures reaching up to 27 °C (81 °F)[2],1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,85123.0,86973.0,85980.66666666667,21,3,54,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +20.0,16,9,0.0,58,5662119.0,43.0,11.0,88943.0,214.64,sutil,99.0,German,force_india,Indian,2009,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,0.0,6.0,0.0,86742.0,86742.0,86742.0,41,26,Sunny with temperatures reaching up to 27 °C (81 °F)[2],1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,86742.0,86742.0,86742.0,24,2,36,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +9.0,20,3,6.0,58,5657388.0,50.0,10.0,88916.0,214.706,trulli,75.0,Italian,toyota,Japanese,2009,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,11.0,2.0,0.0,86194.0,85265.0,87127.0,50,35,Sunny with temperatures reaching up to 27 °C (81 °F)[2],1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,85265.0,87127.0,86195.33333333333,32,3,54,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +14.0,8,12,0.0,57,,38.0,8.0,88508.0,215.695,webber,91.0,Australian,red_bull,Austrian,2009,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+1 Lap,0.0,0.0,8.0,0.0,85427.0,85241.0,87246.0,48,33,Sunny with temperatures reaching up to 27 °C (81 °F)[2],1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,85241.0,87246.0,85971.33333333333,30,3,54,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +7.0,9,11,0.0,31,,17.0,9.0,99006.0,201.551,alonso,14.0,Spanish,renault,French,2009,2,Malaysian Grand Prix,32400000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+1 Lap,0.0,4.0,4.0,0.0,95260.0,94706.0,97659.0,43,28,"Dry start, with heavy rain and thunderstorm/monsoon later",0,0,1,1,0,Race circuit,Clockwise,5.543,56.0,310.408,94706.0,97659.0,95875.0,25,3,55,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +23.0,8,5,2.0,31,4299452.0,17.0,2.0,97484.0,204.698,barrichello,96.0,Brazilian,brawn,British,2009,2,Malaysian Grand Prix,32400000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,25.0,1.0,2.0,94681.0,94387.0,95651.0,52,37,"Dry start, with heavy rain and thunderstorm/monsoon later",0,0,1,1,0,Race circuit,Clockwise,5.543,56.0,310.408,94387.0,95651.0,94906.33333333331,34,3,55,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +11.0,15,10,0.0,31,4354256.0,17.0,12.0,99242.0,201.072,bourdais,39.0,French,toro_rosso,Italian,2009,2,Malaysian Grand Prix,32400000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,3.0,6.0,0.0,95507.0,95431.0,95431.0,45,30,"Dry start, with heavy rain and thunderstorm/monsoon later",0,0,1,1,0,Race circuit,Clockwise,5.543,56.0,310.408,95431.0,95507.0,95456.33333333331,29,1,20,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +22.0,1,1,5.0,31,4252092.0,18.0,1.0,96641.0,206.483,button,22.0,British,brawn,British,2009,2,Malaysian Grand Prix,32400000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,1.0,25.0,1.0,2.0,95058.0,93784.0,95181.0,44,29,"Dry start, with heavy rain and thunderstorm/monsoon later",0,0,1,1,0,Race circuit,Clockwise,5.543,56.0,310.408,93784.0,95181.0,94674.33333333331,26,3,55,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +10.0,3,3,3.0,31,4275605.0,18.0,16.0,99406.0,200.74,glock,65.0,German,toyota,Japanese,2009,2,Malaysian Grand Prix,32400000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,16.5,2.0,0.0,94907.0,94258.0,95690.0,42,27,"Dry start, with heavy rain and thunderstorm/monsoon later",0,0,1,1,0,Race circuit,Clockwise,5.543,56.0,310.408,94258.0,95690.0,94951.66666666669,26,1,20,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +1.0,12,7,1.0,31,4312825.0,17.0,11.0,99141.0,201.276,hamilton,44.0,British,mclaren,British,2009,2,Malaysian Grand Prix,32400000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,1.0,8.0,0.0,95280.0,94905.0,94905.0,39,24,"Dry start, with heavy rain and thunderstorm/monsoon later",0,0,1,1,0,Race circuit,Clockwise,5.543,56.0,310.408,94905.0,95280.0,95030.0,22,2,37,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +6.0,10,2,4.0,31,4274814.0,17.0,10.0,99084.0,201.392,heidfeld,43.0,German,bmw_sauber,German,2009,2,Malaysian Grand Prix,32400000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,4.0,3.0,0.0,95110.0,94769.0,94769.0,47,32,"Dry start, with heavy rain and thunderstorm/monsoon later",0,0,1,1,0,Race circuit,Clockwise,5.543,56.0,310.408,94769.0,95110.0,94882.66666666669,29,3,55,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +3.0,16,9,0.0,31,4329024.0,17.0,13.0,99250.0,201.055,massa,19.0,Brazilian,ferrari,Italian,2009,2,Malaysian Grand Prix,32400000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,0.0,10.0,0.0,95642.0,95642.0,95642.0,43,28,"Dry start, with heavy rain and thunderstorm/monsoon later",0,0,1,1,0,Race circuit,Clockwise,5.543,56.0,310.408,95642.0,95642.0,95642.0,25,3,55,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +17.0,11,12,0.0,31,,17.0,15.0,99387.0,200.778,nakajima,48.0,Japanese,williams,British,2009,2,Malaysian Grand Prix,32400000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+1 Lap,0.0,3.5,5.0,0.0,95341.0,94788.0,94788.0,39,24,"Dry start, with heavy rain and thunderstorm/monsoon later",0,0,1,1,0,Race circuit,Clockwise,5.543,56.0,310.408,94788.0,95341.0,94972.33333333331,22,2,21,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +8.0,17,13,0.0,31,,18.0,14.0,99268.0,201.019,piquet_jr,56.0,Brazilian,renault,French,2009,2,Malaysian Grand Prix,32400000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+1 Lap,0.0,4.0,4.0,0.0,95708.0,95708.0,95708.0,39,24,"Dry start, with heavy rain and thunderstorm/monsoon later",0,0,1,1,0,Race circuit,Clockwise,5.543,56.0,310.408,95708.0,95708.0,95708.0,23,1,20,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +4.0,7,14,0.0,31,,17.0,7.0,98453.0,202.683,raikkonen,7.0,Finnish,ferrari,Italian,2009,2,Malaysian Grand Prix,32400000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+1 Lap,0.0,0.0,10.0,0.0,95476.0,94456.0,96170.0,45,30,"Dry start, with heavy rain and thunderstorm/monsoon later",0,0,1,1,0,Race circuit,Clockwise,5.543,56.0,310.408,94456.0,96170.0,95367.33333333331,27,3,55,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +16.0,4,8,0.5,31,4323668.0,13.0,4.0,97598.0,204.459,rosberg,6.0,German,williams,British,2009,2,Malaysian Grand Prix,32400000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,3.5,5.0,0.0,95083.0,94547.0,95750.0,39,24,"Dry start, with heavy rain and thunderstorm/monsoon later",0,0,1,1,0,Race circuit,Clockwise,5.543,56.0,310.408,94547.0,95750.0,95126.66666666669,21,3,55,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +20.0,19,17,0.0,30,,17.0,18.0,99464.0,200.623,sutil,99.0,German,force_india,Indian,2009,2,Malaysian Grand Prix,32400000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+1 Lap,0.0,0.0,9.0,0.0,95951.0,95951.0,95951.0,41,26,"Dry start, with heavy rain and thunderstorm/monsoon later",0,0,1,1,0,Race circuit,Clockwise,5.543,56.0,310.408,95951.0,95951.0,95951.0,24,2,37,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +9.0,2,4,2.5,31,4298265.0,12.0,3.0,97591.0,204.473,trulli,75.0,Italian,toyota,Japanese,2009,2,Malaysian Grand Prix,32400000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,16.5,2.0,0.0,94745.0,93990.0,95273.0,50,35,"Dry start, with heavy rain and thunderstorm/monsoon later",0,0,1,1,0,Race circuit,Clockwise,5.543,56.0,310.408,93990.0,95273.0,94669.33333333331,32,3,55,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +14.0,5,6,1.5,31,4304425.0,14.0,5.0,97672.0,204.304,webber,91.0,Australian,red_bull,Austrian,2009,2,Malaysian Grand Prix,32400000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,1.5,7.0,0.0,95027.0,94222.0,95797.0,48,33,"Dry start, with heavy rain and thunderstorm/monsoon later",0,0,1,1,0,Race circuit,Clockwise,5.543,56.0,310.408,94222.0,95797.0,95015.33333333331,30,3,55,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +7.0,2,9,0.0,56,7147794.0,38.0,9.0,114481.0,171.413,alonso,14.0,Spanish,renault,French,2009,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,4.0,6.0,0.0,96443.0,95803.0,96381.0,43,28,Rain,0,0,0,1,0,Race circuit,Clockwise,5.451,56.0,305.066,95803.0,96443.0,96209.0,25,3,56,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +23.0,4,4,5.0,56,7127189.0,42.0,1.0,112592.0,174.289,barrichello,96.0,Brazilian,brawn,British,2009,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,36.0,1.0,2.0,95701.0,95503.0,96493.0,52,37,Rain,0,0,0,1,0,Race circuit,Clockwise,5.451,56.0,305.066,95503.0,96493.0,95899.0,34,3,56,1,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +11.0,15,11,0.0,56,7157641.0,43.0,5.0,113474.0,172.934,bourdais,39.0,French,toro_rosso,Italian,2009,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,4.0,7.0,0.0,96906.0,96906.0,96906.0,45,30,Rain,0,0,0,1,0,Race circuit,Clockwise,5.451,56.0,305.066,96906.0,96906.0,96906.0,29,1,21,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +12.0,10,8,1.0,56,7139924.0,42.0,11.0,114590.0,171.25,buemi,92.0,Swiss,toro_rosso,Italian,2009,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,4.0,7.0,0.0,96284.0,95965.0,99321.0,36,21,Rain,0,0,0,1,0,Race circuit,Clockwise,5.451,56.0,305.066,95965.0,99321.0,97190.0,21,0,3,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +22.0,5,3,6.0,56,7108460.0,44.0,6.0,113546.0,172.825,button,22.0,British,brawn,British,2009,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,2.0,36.0,1.0,2.0,95533.0,95556.0,96532.0,44,29,Rain,0,0,0,1,0,Race circuit,Clockwise,5.451,56.0,305.066,95533.0,96532.0,95873.66666666669,26,3,56,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +21.0,20,14,0.0,55,,37.0,18.0,116239.0,168.821,fisichella,84.0,Italian,force_india,Indian,2009,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+1 Lap,0.0,0.0,10.0,0.0,97672.0,97672.0,97672.0,51,36,Rain,0,0,0,1,0,Race circuit,Clockwise,5.451,56.0,305.066,97672.0,97672.0,97672.0,33,3,56,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,72.0,76.0,76.0,76.0,74.0 +10.0,19,7,2.0,56,7137961.0,42.0,3.0,112703.0,174.117,glock,65.0,German,toyota,Japanese,2009,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,18.5,3.0,0.0,96364.0,96066.0,96066.0,42,27,Rain,0,0,0,1,0,Race circuit,Clockwise,5.451,56.0,305.066,96066.0,96364.0,96165.33333333331,26,1,21,1,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +1.0,9,6,3.0,56,7135351.0,39.0,12.0,114665.0,171.138,hamilton,44.0,British,mclaren,British,2009,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,8.0,4.0,0.0,95776.0,95740.0,98595.0,39,24,Rain,0,0,0,1,0,Race circuit,Clockwise,5.451,56.0,305.066,95740.0,98595.0,96703.66666666669,22,2,38,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +6.0,11,12,0.0,56,7159319.0,40.0,7.0,114158.0,171.898,heidfeld,43.0,German,bmw_sauber,German,2009,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,4.0,5.0,0.0,96525.0,95975.0,95975.0,47,32,Rain,0,0,0,1,0,Race circuit,Clockwise,5.451,56.0,305.066,95975.0,96525.0,96158.33333333331,29,3,56,1,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +2.0,12,5,4.0,56,7128587.0,41.0,10.0,114516.0,171.361,kovalainen,52.0,Finnish,mclaren,British,2009,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,8.0,4.0,0.0,96646.0,96032.0,96032.0,43,28,Rain,0,0,0,1,0,Race circuit,Clockwise,5.451,56.0,305.066,96032.0,96646.0,96236.66666666669,26,2,38,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +5.0,17,13,0.0,56,7170338.0,44.0,14.0,115350.0,170.122,kubica,88.0,Polish,bmw_sauber,German,2009,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,4.0,5.0,0.0,96966.0,96966.0,96966.0,40,25,Rain,0,0,0,1,0,Race circuit,Clockwise,5.451,56.0,305.066,96966.0,96966.0,96966.0,22,3,43,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +8.0,16,16,0.0,54,,42.0,16.0,115535.0,169.849,piquet_jr,56.0,Brazilian,renault,French,2009,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+2 Laps,0.0,4.0,6.0,0.0,96908.0,96908.0,96908.0,39,24,Rain,0,0,0,1,0,Race circuit,Clockwise,5.451,56.0,305.066,96908.0,96908.0,96908.0,23,1,21,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +4.0,8,10,0.0,56,7155235.0,38.0,15.0,115396.0,170.054,raikkonen,7.0,Finnish,ferrari,Italian,2009,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,0.0,9.0,0.0,96137.0,95856.0,98089.0,45,30,Rain,0,0,0,1,0,Race circuit,Clockwise,5.451,56.0,305.066,95856.0,98089.0,96694.0,27,3,56,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +16.0,7,15,0.0,55,,55.0,8.0,114243.0,171.77,rosberg,6.0,German,williams,British,2009,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+1 Lap,0.0,3.5,8.0,0.0,95941.0,95809.0,97397.0,39,24,Rain,0,0,0,1,0,Race circuit,Clockwise,5.451,56.0,305.066,95809.0,97397.0,96382.33333333331,21,3,56,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +15.0,1,1,10.0,56,7063485.0,42.0,2.0,112627.0,174.235,vettel,5.0,German,red_bull,Austrian,2009,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,19.5,2.0,1.0,96565.0,95130.0,96184.0,37,22,Rain,0,0,0,1,0,Race circuit,Clockwise,5.451,56.0,305.066,95130.0,96565.0,95959.66666666669,20,2,29,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +14.0,3,2,8.0,56,7074455.0,42.0,4.0,112980.0,173.69,webber,91.0,Australian,red_bull,Austrian,2009,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,19.5,2.0,1.0,95751.0,95173.0,96466.0,48,33,Rain,0,0,0,1,0,Race circuit,Clockwise,5.451,56.0,305.066,95173.0,96466.0,95796.66666666669,30,3,56,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +7.0,7,8,1.0,57,5560957.0,29.0,14.0,95722.0,203.539,alonso,14.0,Spanish,renault,French,2009,4,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,5.0,5.0,0.0,93627.0,92860.0,94578.0,43,28,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,92860.0,94578.0,93688.33333333331,25,3,57,0,0,0,0,1,0,0,0,1,0,1,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +23.0,6,5,4.0,57,5545961.0,25.0,5.0,94901.0,205.3,barrichello,96.0,Brazilian,brawn,British,2009,4,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,50.0,1.0,3.0,93116.0,92842.0,94239.0,52,37,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,92842.0,94239.0,93399.0,34,3,57,1,1,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +11.0,20,13,0.0,57,5586987.0,30.0,9.0,95410.0,204.205,bourdais,39.0,French,toro_rosso,Italian,2009,4,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,4.0,7.0,0.0,94159.0,94159.0,94159.0,45,30,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,94159.0,94159.0,94159.0,29,1,22,0,0,0,0,0,0,0,1,0,1,1,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +12.0,16,17,0.0,56,,38.0,20.0,96473.0,201.954,buemi,92.0,Swiss,toro_rosso,Italian,2009,4,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,4.0,7.0,0.0,93753.0,93753.0,93753.0,36,21,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,93753.0,93753.0,93753.0,21,0,4,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +22.0,4,1,10.0,57,5508182.0,11.0,3.0,94588.0,205.979,button,22.0,British,brawn,British,2009,4,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,2.0,50.0,1.0,3.0,92978.0,92842.0,94044.0,44,29,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,92842.0,94044.0,93288.0,26,3,57,3,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +21.0,17,15,0.0,56,,9.0,19.0,96376.0,202.158,fisichella,84.0,Italian,force_india,Indian,2009,4,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,0.0,10.0,0.0,93910.0,93910.0,93910.0,51,36,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,93910.0,93910.0,93910.0,33,3,57,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,1,72.0,76.0,76.0,76.0,74.0 +10.0,2,7,2.0,57,5551062.0,6.0,2.0,94574.0,206.01,glock,65.0,German,toyota,Japanese,2009,4,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,26.5,3.0,0.0,93165.0,92613.0,93712.0,42,27,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,92613.0,93712.0,93163.33333333331,26,1,22,1,0,1,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +1.0,5,4,5.0,57,5530278.0,13.0,6.0,94915.0,205.269,hamilton,44.0,British,mclaren,British,2009,4,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,13.0,4.0,0.0,92851.0,92877.0,94196.0,39,24,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,92851.0,94196.0,93308.0,22,2,39,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +6.0,14,19,0.0,56,,52.0,16.0,95924.0,203.11,heidfeld,43.0,German,bmw_sauber,German,2009,4,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,4.0,6.0,0.0,93377.0,93562.0,93562.0,47,32,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,93377.0,93562.0,93500.33333333331,29,3,57,1,1,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +2.0,11,12,0.0,57,5586006.0,54.0,12.0,95520.0,203.969,kovalainen,52.0,Finnish,mclaren,British,2009,4,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,13.0,4.0,0.0,93479.0,93242.0,93242.0,43,28,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,93242.0,93479.0,93321.0,26,2,39,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +5.0,13,18,0.0,56,,50.0,13.0,95706.0,203.573,kubica,88.0,Polish,bmw_sauber,German,2009,4,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,4.0,6.0,0.0,93495.0,93487.0,93487.0,40,25,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,93487.0,93495.0,93489.66666666669,22,3,44,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +3.0,8,14,0.0,56,,41.0,7.0,95065.0,204.946,massa,19.0,Brazilian,ferrari,Italian,2009,4,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,3.0,9.0,0.0,93297.0,93014.0,94818.0,43,28,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,93014.0,94818.0,93709.66666666669,25,3,57,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +8.0,15,10,0.0,57,5573331.0,37.0,10.0,95441.0,204.138,piquet_jr,56.0,Brazilian,renault,French,2009,4,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,5.0,5.0,0.0,93608.0,93941.0,93941.0,39,24,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,93608.0,93941.0,93830.0,23,1,22,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,1,0,58.0,72.0,78.0,73.0,72.0 +4.0,10,6,3.0,57,5550239.0,42.0,11.0,95498.0,204.016,raikkonen,7.0,Finnish,ferrari,Italian,2009,4,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,3.0,9.0,0.0,93117.0,92827.0,95380.0,45,30,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,92827.0,95380.0,93774.66666666669,27,3,57,0,0,0,0,0,0,0,0,0,1,0,0,0,1,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +16.0,9,9,0.0,57,5566380.0,37.0,15.0,95816.0,203.339,rosberg,6.0,German,williams,British,2009,4,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,3.5,8.0,0.0,93672.0,93166.0,95134.0,39,24,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,93166.0,95134.0,93990.66666666669,21,3,57,0,0,0,0,0,1,0,1,0,0,0,0,0,0,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +20.0,19,16,0.0,56,,28.0,18.0,96219.0,202.488,sutil,99.0,German,force_india,Indian,2009,4,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,0.0,10.0,0.0,93722.0,93722.0,93722.0,41,26,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,93722.0,93722.0,93722.0,24,2,39,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,2,0,72.0,76.0,76.0,76.0,74.0 +9.0,1,3,6.0,57,5517352.0,10.0,1.0,94556.0,206.049,trulli,75.0,Italian,toyota,Japanese,2009,4,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,26.5,3.0,0.0,92799.0,92671.0,93431.0,50,35,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,92671.0,93431.0,92967.0,32,3,57,1,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +15.0,3,2,8.0,57,5515369.0,16.0,4.0,94756.0,205.614,vettel,5.0,German,red_bull,Austrian,2009,4,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,1.0,27.5,2.0,1.0,92680.0,92474.0,94015.0,37,22,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,92474.0,94015.0,93056.33333333331,20,2,30,1,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +14.0,18,11,0.0,57,5575823.0,50.0,8.0,95165.0,204.73,webber,91.0,Australian,red_bull,Austrian,2009,4,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,27.5,2.0,1.0,94038.0,94038.0,94038.0,48,33,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,94038.0,94038.0,94038.0,30,3,57,1,1,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +7.0,8,5,4.0,66,5882368.0,14.0,6.0,83420.0,200.887,alonso,14.0,Spanish,renault,French,2009,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,9.0,5.0,0.0,81186.0,80509.0,81392.0,43,28,"Warm, Sunny",1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,80509.0,81392.0,81029.0,25,3,58,0,0,0,0,1,0,0,1,1,0,1,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +23.0,3,2,8.0,66,5852258.0,28.0,1.0,82762.0,202.484,barrichello,96.0,Brazilian,brawn,British,2009,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,68.0,1.0,4.0,80808.0,79954.0,80762.0,52,37,"Warm, Sunny",1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,79954.0,80808.0,80508.0,34,3,58,1,1,0,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +22.0,1,1,10.0,66,5839202.0,17.0,2.0,82899.0,202.149,button,22.0,British,brawn,British,2009,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,3.0,68.0,1.0,4.0,80707.0,80192.0,80527.0,44,29,"Warm, Sunny",1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,80192.0,80707.0,80475.33333333333,26,3,58,4,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +21.0,20,14,0.0,65,,63.0,8.0,83796.0,199.985,fisichella,84.0,Italian,force_india,Indian,2009,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,0.0,10.0,0.0,82204.0,82204.0,82204.0,51,36,"Warm, Sunny",1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,82204.0,82204.0,82204.0,33,3,58,0,0,0,0,0,0,0,0,0,0,1,0,0,1,1,0,0,1,72.0,76.0,76.0,76.0,74.0 +10.0,6,10,0.0,65,,44.0,12.0,84134.0,199.182,glock,65.0,German,toyota,Japanese,2009,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,26.5,3.0,0.0,80877.0,80107.0,81247.0,42,27,"Warm, Sunny",1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,80107.0,81247.0,80743.66666666667,26,1,23,1,0,1,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +1.0,14,9,0.0,65,,29.0,9.0,83839.0,199.883,hamilton,44.0,British,mclaren,British,2009,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,13.0,4.0,0.0,80991.0,80805.0,80805.0,39,24,"Warm, Sunny",1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,80805.0,80991.0,80867.0,22,2,40,0,0,0,1,0,1,1,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +6.0,13,7,2.0,66,5891514.0,29.0,10.0,83878.0,199.79,heidfeld,43.0,German,bmw_sauber,German,2009,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,6.0,6.0,0.0,81095.0,80676.0,80676.0,47,32,"Warm, Sunny",1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,80676.0,81095.0,80815.66666666667,29,3,58,1,1,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +5.0,10,11,0.0,65,,26.0,11.0,84078.0,199.314,kubica,88.0,Polish,bmw_sauber,German,2009,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,6.0,6.0,0.0,80931.0,80408.0,82685.0,40,25,"Warm, Sunny",1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,80408.0,82685.0,81341.33333333333,22,3,45,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,1,72.0,76.0,76.0,76.0,74.0 +3.0,4,6,3.0,66,5890029.0,14.0,3.0,83089.0,201.687,massa,19.0,Brazilian,ferrari,Italian,2009,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,6.0,7.0,0.0,80484.0,80149.0,80934.0,43,28,"Warm, Sunny",1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,80149.0,80934.0,80522.33333333333,25,3,58,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +17.0,11,13,0.0,65,,38.0,13.0,84155.0,199.132,nakajima,48.0,Japanese,williams,British,2009,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,4.5,8.0,0.0,80818.0,80531.0,80531.0,39,24,"Warm, Sunny",1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,80531.0,80818.0,80626.66666666667,22,2,24,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,2,58.0,72.0,78.0,73.0,72.0 +8.0,12,12,0.0,65,,41.0,14.0,84286.0,198.823,piquet_jr,56.0,Brazilian,renault,French,2009,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,9.0,5.0,0.0,81128.0,80604.0,80604.0,39,24,"Warm, Sunny",1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,80604.0,81128.0,80778.66666666667,23,1,23,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,1,1,0,58.0,72.0,78.0,73.0,72.0 +16.0,9,8,1.0,66,5904413.0,24.0,7.0,83621.0,200.404,rosberg,6.0,German,williams,British,2009,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,4.5,8.0,0.0,80745.0,80256.0,82558.0,39,24,"Warm, Sunny",1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,80256.0,82558.0,81186.33333333333,21,3,58,0,0,0,0,0,1,0,1,1,0,0,0,0,0,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +15.0,2,4,5.0,66,5858143.0,41.0,4.0,83090.0,201.684,vettel,5.0,German,red_bull,Austrian,2009,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,1.0,38.5,2.0,1.0,80715.0,80220.0,80660.0,37,22,"Warm, Sunny",1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,80220.0,80715.0,80531.66666666667,20,2,31,2,1,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +14.0,5,3,6.0,66,5853126.0,18.0,5.0,83112.0,201.631,webber,91.0,Australian,red_bull,Austrian,2009,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,38.5,2.0,1.0,80689.0,80007.0,81049.0,48,33,"Warm, Sunny",1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,80007.0,81049.0,80581.66666666667,30,3,58,1,1,0,0,0,1,0,0,0,0,1,1,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +7.0,9,7,2.0,78,6082121.0,64.0,4.0,75371.0,159.53,alonso,14.0,Spanish,renault,French,2009,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,11.0,6.0,0.0,75898.0,75200.0,76009.0,43,28,Sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,75200.0,76009.0,75702.33333333333,25,3,59,0,0,0,0,2,0,0,1,1,0,1,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +23.0,3,2,8.0,78,6051948.0,46.0,7.0,75685.0,158.868,barrichello,96.0,Brazilian,brawn,British,2009,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,86.0,1.0,5.0,75425.0,74829.0,75077.0,52,37,Sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,74829.0,75425.0,75110.33333333333,34,3,59,2,2,0,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +11.0,14,8,1.0,78,6107424.0,47.0,13.0,76178.0,157.84,bourdais,39.0,French,toro_rosso,Italian,2009,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,5.0,9.0,0.0,76120.0,76281.0,76281.0,45,30,Sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,76120.0,76281.0,76227.33333333333,29,1,24,0,0,0,0,0,0,0,1,0,1,1,0,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +22.0,1,1,10.0,78,6044282.0,49.0,2.0,75190.0,159.914,button,22.0,British,brawn,British,2009,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,4.0,86.0,1.0,5.0,75210.0,75016.0,74902.0,44,29,Sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,74902.0,75210.0,75042.66666666667,26,3,59,5,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +21.0,13,9,0.0,78,6109322.0,74.0,16.0,76419.0,157.343,fisichella,84.0,Italian,force_india,Indian,2009,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,0.0,10.0,0.0,76063.0,76146.0,76146.0,51,36,Sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,76063.0,76146.0,76118.33333333333,33,3,59,0,0,0,0,0,0,0,0,0,0,1,0,0,2,1,0,0,1,72.0,76.0,76.0,76.0,74.0 +10.0,20,10,0.0,77,,72.0,12.0,76066.0,158.073,glock,65.0,German,toyota,Japanese,2009,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,26.5,3.0,0.0,76788.0,76788.0,76788.0,42,27,Sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,76788.0,76788.0,76788.0,26,1,24,1,0,1,1,0,0,2,0,0,1,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +1.0,19,12,0.0,77,,65.0,8.0,75706.0,158.824,hamilton,44.0,British,mclaren,British,2009,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,13.0,5.0,0.0,76264.0,76264.0,76264.0,39,24,Sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,76264.0,76264.0,76264.0,22,2,41,0,0,0,1,0,1,1,0,1,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +6.0,16,11,0.0,77,,49.0,15.0,76268.0,157.654,heidfeld,43.0,German,bmw_sauber,German,2009,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,6.0,8.0,0.0,76264.0,76264.0,76264.0,47,32,Sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,76264.0,76264.0,76264.0,29,3,59,1,1,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +3.0,5,4,5.0,78,6059392.0,50.0,1.0,75154.0,159.991,massa,19.0,Brazilian,ferrari,Italian,2009,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,17.0,4.0,0.0,75340.0,75001.0,75437.0,43,28,Sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,75001.0,75437.0,75259.33333333333,25,3,59,0,0,0,0,0,1,0,0,1,0,0,0,0,1,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +4.0,2,3,6.0,78,6057724.0,47.0,5.0,75382.0,159.507,raikkonen,7.0,Finnish,ferrari,Italian,2009,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,17.0,4.0,0.0,75746.0,74514.0,74927.0,45,30,Sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,74514.0,75746.0,75062.33333333333,27,3,59,0,0,0,0,0,1,0,0,0,1,0,0,0,1,2,0,0,0,72.0,76.0,76.0,76.0,74.0 +16.0,6,6,3.0,78,6077868.0,48.0,9.0,75772.0,158.686,rosberg,6.0,German,williams,British,2009,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,7.5,7.0,0.0,75094.0,74846.0,75455.0,39,24,Sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,74846.0,75455.0,75131.66666666667,21,3,59,0,0,0,0,0,1,0,2,1,0,0,0,0,0,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +20.0,15,14,0.0,77,,66.0,14.0,76245.0,157.702,sutil,99.0,German,force_india,Indian,2009,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,0.0,10.0,0.0,76248.0,76545.0,76545.0,41,26,Sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,76248.0,76545.0,76446.0,24,2,41,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,2,0,72.0,76.0,76.0,76.0,74.0 +9.0,18,13,0.0,77,,57.0,11.0,76011.0,158.187,trulli,75.0,Italian,toyota,Japanese,2009,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,26.5,3.0,0.0,76548.0,76548.0,76548.0,50,35,Sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,76548.0,76548.0,76548.0,32,3,59,2,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +14.0,8,5,4.0,78,6060012.0,45.0,3.0,75321.0,159.636,webber,91.0,Australian,red_bull,Austrian,2009,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,42.5,2.0,1.0,75260.0,74825.0,75653.0,48,33,Sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,74825.0,75653.0,75246.0,30,3,59,2,1,1,0,0,1,0,0,0,0,1,1,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +7.0,8,10,0.0,58,5247268.0,57.0,13.0,88389.0,217.411,alonso,14.0,Spanish,renault,French,2009,7,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,0.0,11.0,7.0,0.0,87988.0,87473.0,89075.0,43,28,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,87473.0,89075.0,88178.66666666667,25,3,60,0,0,0,0,2,0,1,1,1,0,1,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +11.0,20,18,0.0,57,,53.0,17.0,89022.0,215.865,bourdais,39.0,French,toro_rosso,Italian,2009,7,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,+1 Lap,0.0,5.0,9.0,0.0,88918.0,88918.0,88918.0,45,30,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,88918.0,88918.0,88918.0,29,1,25,0,0,0,0,0,0,0,2,0,1,1,0,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +12.0,18,15,0.0,57,,57.0,16.0,88624.0,216.835,buemi,92.0,Swiss,toro_rosso,Italian,2009,7,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,+1 Lap,0.0,5.0,9.0,0.0,88708.0,88708.0,88708.0,36,21,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,88708.0,88708.0,88708.0,21,0,7,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,1,1,1,58.0,72.0,78.0,73.0,72.0 +22.0,2,1,10.0,58,5184848.0,40.0,1.0,87579.0,219.422,button,22.0,British,brawn,British,2009,7,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,5.0,96.0,1.0,6.0,87355.0,87230.0,88421.0,44,29,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,87230.0,88421.0,87668.66666666667,26,3,60,6,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +10.0,13,8,1.0,58,5231807.0,56.0,5.0,87883.0,218.663,glock,65.0,German,toyota,Japanese,2009,7,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,0.0,32.5,3.0,0.0,88160.0,87795.0,87795.0,42,27,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,87795.0,88160.0,87916.66666666667,26,1,25,1,0,1,1,0,0,2,0,0,2,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +1.0,16,13,0.0,58,5265302.0,53.0,15.0,88562.0,216.986,hamilton,44.0,British,mclaren,British,2009,7,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,0.0,13.0,5.0,0.0,88318.0,88318.0,88318.0,39,24,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,88318.0,88318.0,88318.0,22,2,42,0,0,0,1,0,1,1,0,1,0,0,1,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +6.0,11,11,0.0,58,5249175.0,43.0,10.0,88214.0,217.842,heidfeld,43.0,German,bmw_sauber,German,2009,7,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,0.0,8.0,8.0,0.0,87795.0,87521.0,87521.0,47,32,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,87521.0,87795.0,87612.33333333333,29,3,60,1,1,0,0,0,0,1,0,0,1,1,1,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +2.0,14,14,0.0,57,,41.0,18.0,89174.0,215.497,kovalainen,52.0,Finnish,mclaren,British,2009,7,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,+1 Lap,0.0,13.0,5.0,0.0,88199.0,88207.0,88207.0,43,28,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,88199.0,88207.0,88204.33333333333,26,2,42,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,2,0,0,72.0,76.0,76.0,76.0,74.0 +5.0,10,7,2.0,58,5231095.0,58.0,7.0,88008.0,218.352,kubica,88.0,Polish,bmw_sauber,German,2009,7,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,0.0,8.0,8.0,0.0,87788.0,87455.0,89357.0,40,25,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,87455.0,89357.0,88200.0,22,3,47,0,0,0,0,0,0,0,0,0,0,1,0,1,1,0,0,1,1,72.0,76.0,76.0,76.0,74.0 +3.0,7,6,3.0,58,5224844.0,41.0,9.0,88176.0,217.936,massa,19.0,Brazilian,ferrari,Italian,2009,7,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,0.0,20.0,4.0,0.0,87508.0,87349.0,88858.0,43,28,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,87349.0,88858.0,87905.0,25,3,60,0,0,0,1,0,1,0,0,1,0,0,0,0,1,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +17.0,12,12,0.0,58,5251224.0,58.0,6.0,87988.0,218.402,nakajima,48.0,Japanese,williams,British,2009,7,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,0.0,11.5,6.0,0.0,87691.0,87629.0,87629.0,39,24,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,87629.0,87691.0,87649.66666666667,22,2,26,0,0,0,0,0,0,0,0,0,0,0,1,1,0,1,0,0,2,58.0,72.0,78.0,73.0,72.0 +8.0,17,16,0.0,57,,45.0,12.0,88340.0,217.532,piquet_jr,56.0,Brazilian,renault,French,2009,7,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,+1 Lap,0.0,11.0,7.0,0.0,88582.0,88582.0,88582.0,39,24,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,88582.0,88582.0,88582.0,23,1,25,0,0,0,0,0,0,0,0,0,1,0,1,1,0,0,1,1,0,58.0,72.0,78.0,73.0,72.0 +4.0,6,9,0.0,58,5235094.0,58.0,8.0,88061.0,218.221,raikkonen,7.0,Finnish,ferrari,Italian,2009,7,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,0.0,20.0,4.0,0.0,87556.0,87387.0,88815.0,45,30,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,87387.0,88815.0,87919.33333333333,27,3,60,1,0,1,0,0,1,0,0,0,1,0,0,0,1,2,0,0,0,72.0,76.0,76.0,76.0,74.0 +16.0,9,5,4.0,58,5216387.0,36.0,11.0,88222.0,217.823,rosberg,6.0,German,williams,British,2009,7,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,0.0,11.5,6.0,0.0,87517.0,87418.0,89191.0,39,24,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,87418.0,89191.0,88042.0,21,3,60,0,0,0,0,0,2,0,2,1,0,0,0,0,0,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +20.0,15,17,0.0,57,,55.0,19.0,89192.0,215.454,sutil,99.0,German,force_india,Indian,2009,7,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,+1 Lap,0.0,0.0,10.0,0.0,88278.0,88391.0,88391.0,41,26,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,88278.0,88391.0,88353.33333333333,24,2,42,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,1,2,0,72.0,76.0,76.0,76.0,74.0 +9.0,5,4,5.0,58,5212691.0,40.0,4.0,87868.0,218.7,trulli,75.0,Italian,toyota,Japanese,2009,7,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,0.0,32.5,3.0,0.0,87529.0,87195.0,88666.0,50,35,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,87195.0,88666.0,87796.66666666667,32,3,60,2,0,2,1,0,0,0,0,0,0,0,0,1,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +15.0,1,3,6.0,58,5192309.0,51.0,2.0,87622.0,219.314,vettel,5.0,German,red_bull,Austrian,2009,7,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,1.0,56.5,2.0,1.0,87330.0,87016.0,88316.0,37,22,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,87016.0,88316.0,87554.0,20,2,33,2,1,0,1,0,0,0,0,0,0,0,0,1,0,1,0,0,1,58.0,72.0,78.0,73.0,72.0 +14.0,4,2,8.0,58,5191562.0,42.0,3.0,87809.0,218.847,webber,91.0,Australian,red_bull,Austrian,2009,7,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,0.0,56.5,2.0,1.0,87466.0,87416.0,88613.0,48,33,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,87416.0,88613.0,87831.66666666667,30,3,60,2,1,1,0,1,1,0,0,0,0,1,1,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +7.0,10,14,0.0,59,,36.0,12.0,81852.0,226.11,alonso,14.0,Spanish,renault,French,2009,8,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,11.0,7.0,0.0,79167.0,78761.0,80741.0,43,28,"Dry, overcast",0,0,1,0,1,Race circuit,Clockwise,5.891,52.0,306.198,78761.0,80741.0,79556.33333333333,25,3,61,0,0,0,0,2,0,1,1,1,1,1,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +23.0,2,3,6.0,60,5010503.0,18.0,5.0,81429.0,227.285,barrichello,96.0,Brazilian,brawn,British,2009,8,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,105.0,1.0,6.0,79325.0,78335.0,79856.0,52,37,"Dry, overcast",0,0,1,0,1,Race circuit,Clockwise,5.891,52.0,306.198,78335.0,79856.0,79172.0,34,3,61,3,3,0,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +12.0,19,18,0.0,59,,24.0,19.0,82711.0,223.762,buemi,92.0,Swiss,toro_rosso,Italian,2009,8,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,5.0,9.0,0.0,80236.0,80236.0,80236.0,36,21,"Dry, overcast",0,0,1,0,1,Race circuit,Clockwise,5.891,52.0,306.198,80236.0,80236.0,80236.0,21,0,8,0,0,0,0,0,0,1,1,0,0,0,0,0,0,1,1,1,1,58.0,72.0,78.0,73.0,72.0 +22.0,6,6,3.0,60,5015613.0,54.0,4.0,81189.0,227.956,button,22.0,British,brawn,British,2009,8,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,6.0,105.0,1.0,6.0,78957.0,78663.0,80289.0,44,29,"Dry, overcast",0,0,1,0,1,Race circuit,Clockwise,5.891,52.0,306.198,78663.0,80289.0,79303.0,26,3,61,7,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +21.0,16,10,0.0,60,5040850.0,20.0,10.0,81810.0,226.226,fisichella,84.0,Italian,force_india,Indian,2009,8,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,0.0,10.0,0.0,79802.0,79802.0,79802.0,51,36,"Dry, overcast",0,0,1,0,1,Race circuit,Clockwise,5.891,52.0,306.198,79802.0,79802.0,79802.0,33,3,61,0,0,0,0,0,0,0,0,1,0,1,0,0,2,1,0,0,1,72.0,76.0,76.0,76.0,74.0 +10.0,8,9,0.0,60,5039151.0,51.0,8.0,81671.0,226.611,glock,65.0,German,toyota,Japanese,2009,8,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,34.5,3.0,0.0,79198.0,78791.0,80490.0,42,27,"Dry, overcast",0,0,1,0,1,Race circuit,Clockwise,5.891,52.0,306.198,78791.0,80490.0,79493.0,26,1,26,1,0,1,1,0,0,2,1,0,2,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +1.0,18,16,0.0,59,,24.0,18.0,82576.0,224.128,hamilton,44.0,British,mclaren,British,2009,8,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,13.0,6.0,0.0,79917.0,79917.0,79917.0,39,24,"Dry, overcast",0,0,1,0,1,Race circuit,Clockwise,5.891,52.0,306.198,79917.0,79917.0,79917.0,22,2,43,0,0,0,1,0,1,1,0,1,0,0,1,1,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +6.0,15,15,0.0,59,,59.0,13.0,81956.0,225.823,heidfeld,43.0,German,bmw_sauber,German,2009,8,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,8.0,8.0,0.0,79559.0,79448.0,79448.0,47,32,"Dry, overcast",0,0,1,0,1,Race circuit,Clockwise,5.891,52.0,306.198,79448.0,79559.0,79485.0,29,3,61,1,1,0,0,0,0,1,0,0,1,2,1,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +5.0,12,13,0.0,59,,41.0,14.0,82182.0,225.202,kubica,88.0,Polish,bmw_sauber,German,2009,8,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,8.0,8.0,0.0,79730.0,79308.0,79308.0,40,25,"Dry, overcast",0,0,1,0,1,Race circuit,Clockwise,5.891,52.0,306.198,79308.0,79730.0,79448.66666666667,22,3,48,0,0,0,0,0,0,1,0,0,0,1,0,1,1,0,0,1,1,72.0,76.0,76.0,76.0,74.0 +3.0,11,4,5.0,60,5014371.0,22.0,6.0,81509.0,227.062,massa,19.0,Brazilian,ferrari,Italian,2009,8,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,26.0,4.0,0.0,79148.0,78927.0,78927.0,43,28,"Dry, overcast",0,0,1,0,1,Race circuit,Clockwise,5.891,52.0,306.198,78927.0,79148.0,79000.66666666667,25,3,61,0,0,0,1,0,2,0,0,1,0,0,0,0,1,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +17.0,5,11,0.0,60,5043351.0,14.0,11.0,81845.0,226.129,nakajima,48.0,Japanese,williams,British,2009,8,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,15.5,5.0,0.0,78530.0,78575.0,80216.0,39,24,"Dry, overcast",0,0,1,0,1,Race circuit,Clockwise,5.891,52.0,306.198,78530.0,80216.0,79107.0,22,2,27,0,0,0,0,0,0,0,0,0,0,0,2,1,0,1,0,0,2,58.0,72.0,78.0,73.0,72.0 +8.0,14,12,0.0,59,,25.0,17.0,82505.0,224.32,piquet_jr,56.0,Brazilian,renault,French,2009,8,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,11.0,7.0,0.0,79555.0,79392.0,79392.0,39,24,"Dry, overcast",0,0,1,0,1,Race circuit,Clockwise,5.891,52.0,306.198,79392.0,79555.0,79446.33333333333,23,1,26,0,0,0,0,0,0,0,0,0,1,0,1,1,0,0,2,1,0,58.0,72.0,78.0,73.0,72.0 +4.0,9,8,1.0,60,5038950.0,14.0,7.0,81656.0,226.653,raikkonen,7.0,Finnish,ferrari,Italian,2009,8,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,26.0,4.0,0.0,79010.0,78566.0,80715.0,45,30,"Dry, overcast",0,0,1,0,1,Race circuit,Clockwise,5.891,52.0,306.198,78566.0,80715.0,79430.33333333333,27,3,61,1,0,1,0,0,1,0,0,1,1,0,0,0,1,2,0,0,0,72.0,76.0,76.0,76.0,74.0 +16.0,7,5,4.0,60,5015243.0,17.0,3.0,81054.0,228.336,rosberg,6.0,German,williams,British,2009,8,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,15.5,5.0,0.0,79228.0,78591.0,80361.0,39,24,"Dry, overcast",0,0,1,0,1,Race circuit,Clockwise,5.891,52.0,306.198,78591.0,80361.0,79393.33333333333,21,3,61,0,0,0,0,1,2,0,2,1,0,0,0,0,0,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +20.0,20,17,0.0,59,,50.0,20.0,83475.0,221.714,sutil,99.0,German,force_india,Indian,2009,8,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,0.0,10.0,0.0,79909.0,79909.0,79909.0,41,26,"Dry, overcast",0,0,1,0,1,Race circuit,Clockwise,5.891,52.0,306.198,79909.0,79909.0,79909.0,24,2,43,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,1,3,0,72.0,76.0,76.0,76.0,74.0 +9.0,4,7,2.0,60,5037635.0,17.0,9.0,81806.0,226.237,trulli,75.0,Italian,toyota,Japanese,2009,8,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,34.5,3.0,0.0,78886.0,78240.0,80091.0,50,35,"Dry, overcast",0,0,1,0,1,Race circuit,Clockwise,5.891,52.0,306.198,78240.0,80091.0,79072.33333333333,32,3,61,2,0,2,2,0,0,0,0,0,0,0,0,1,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +15.0,1,1,10.0,60,4969328.0,16.0,1.0,80735.0,229.238,vettel,5.0,German,red_bull,Austrian,2009,8,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,1.0,74.5,2.0,2.0,78685.0,78119.0,79509.0,37,22,"Dry, overcast",0,0,1,0,1,Race circuit,Clockwise,5.891,52.0,306.198,78119.0,79509.0,78771.0,20,2,34,3,1,1,1,0,0,0,0,0,0,0,0,1,0,1,0,0,1,58.0,72.0,78.0,73.0,72.0 +14.0,3,2,8.0,60,4984516.0,57.0,2.0,80915.0,228.728,webber,91.0,Australian,red_bull,Austrian,2009,8,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,74.5,2.0,2.0,78674.0,78209.0,79868.0,48,33,"Dry, overcast",0,0,1,0,1,Race circuit,Clockwise,5.891,52.0,306.198,78209.0,79868.0,78917.0,30,3,61,3,2,1,0,1,1,0,0,0,0,1,1,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +7.0,12,7,2.0,60,5828198.0,49.0,1.0,93365.0,198.498,alonso,14.0,Spanish,renault,French,2009,9,German Grand Prix,43200000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,Finished,0.0,13.0,7.0,0.0,91302.0,102318.0,102318.0,43,28,Sunny and overcast,1,0,0,0,1,Race circuit,Clockwise,5.148,60.0,308.617,91302.0,102318.0,98646.0,25,3,62,0,0,0,0,2,0,1,1,1,1,1,0,0,1,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +23.0,2,6,3.0,60,5827778.0,54.0,11.0,94676.0,195.749,barrichello,96.0,Brazilian,brawn,British,2009,9,German Grand Prix,43200000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,Finished,0.0,112.0,1.0,6.0,91482.0,94455.0,92357.0,52,37,Sunny and overcast,1,0,0,0,1,Race circuit,Clockwise,5.148,60.0,308.617,91482.0,94455.0,92764.66666666669,34,3,62,4,3,1,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +12.0,17,16,0.0,60,5893535.0,24.0,19.0,96279.0,192.49,buemi,92.0,Swiss,toro_rosso,Italian,2009,9,German Grand Prix,43200000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,Finished,0.0,5.0,9.0,0.0,92251.0,92251.0,92251.0,36,21,Sunny and overcast,1,0,0,0,1,Race circuit,Clockwise,5.148,60.0,308.617,92251.0,92251.0,92251.0,21,0,9,0,0,0,0,0,0,1,1,0,0,0,0,0,0,1,1,1,2,58.0,72.0,78.0,73.0,72.0 +22.0,3,5,4.0,60,5826919.0,53.0,6.0,94252.0,196.63,button,22.0,British,brawn,British,2009,9,German Grand Prix,43200000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,Finished,6.0,112.0,1.0,6.0,91568.0,99032.0,92473.0,44,29,Sunny and overcast,1,0,0,0,1,Race circuit,Clockwise,5.148,60.0,308.617,91568.0,99032.0,94357.66666666669,26,3,62,7,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +21.0,18,11,0.0,60,5865637.0,54.0,13.0,95301.0,194.465,fisichella,84.0,Italian,force_india,Indian,2009,9,German Grand Prix,43200000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,Finished,0.0,0.0,10.0,0.0,92402.0,92402.0,92402.0,51,36,Sunny and overcast,1,0,0,0,1,Race circuit,Clockwise,5.148,60.0,308.617,92402.0,92402.0,92402.0,33,3,62,0,0,0,0,0,0,0,0,1,1,1,0,0,2,1,0,0,1,72.0,76.0,76.0,76.0,74.0 +10.0,20,9,0.0,60,5864767.0,40.0,16.0,95369.0,194.327,glock,65.0,German,toyota,Japanese,2009,9,German Grand Prix,43200000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,Finished,0.0,34.5,3.0,0.0,92423.0,92423.0,92423.0,42,27,Sunny and overcast,1,0,0,0,1,Race circuit,Clockwise,5.148,60.0,308.617,92423.0,92423.0,92423.0,26,1,27,1,0,1,1,0,0,2,1,1,2,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +1.0,5,18,0.0,59,,46.0,15.0,95367.0,194.331,hamilton,44.0,British,mclaren,British,2009,9,German Grand Prix,43200000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,+1 Lap,0.0,14.0,6.0,0.0,91473.0,99149.0,92616.0,39,24,Sunny and overcast,1,0,0,0,1,Race circuit,Clockwise,5.148,60.0,308.617,91473.0,99149.0,94412.66666666669,22,2,44,0,0,0,1,0,1,1,0,1,0,0,1,1,0,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +6.0,11,10,0.0,60,5865235.0,42.0,10.0,94559.0,195.991,heidfeld,43.0,German,bmw_sauber,German,2009,9,German Grand Prix,43200000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,Finished,0.0,8.0,8.0,0.0,91771.0,102310.0,102310.0,47,32,Sunny and overcast,1,0,0,0,1,Race circuit,Clockwise,5.148,60.0,308.617,91771.0,102310.0,98797.0,29,3,62,1,1,0,0,0,0,1,0,0,1,2,1,0,0,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +2.0,6,8,1.0,60,5862002.0,59.0,17.0,95524.0,194.011,kovalainen,52.0,Finnish,mclaren,British,2009,9,German Grand Prix,43200000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,Finished,0.0,14.0,6.0,0.0,91881.0,100826.0,93859.0,43,28,Sunny and overcast,1,0,0,0,1,Race circuit,Clockwise,5.148,60.0,308.617,91881.0,100826.0,95522.0,26,2,44,0,0,0,0,1,0,0,0,0,0,0,1,0,1,0,2,0,0,72.0,76.0,76.0,76.0,74.0 +5.0,16,14,0.0,60,5872865.0,47.0,9.0,94537.0,196.037,kubica,88.0,Polish,bmw_sauber,German,2009,9,German Grand Prix,43200000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,Finished,0.0,8.0,8.0,0.0,92190.0,92190.0,92190.0,40,25,Sunny and overcast,1,0,0,0,1,Race circuit,Clockwise,5.148,60.0,308.617,92190.0,92190.0,92190.0,22,3,49,0,0,0,0,0,0,1,0,0,0,1,0,2,1,0,0,1,1,72.0,76.0,76.0,76.0,74.0 +3.0,8,3,6.0,60,5819216.0,53.0,8.0,94458.0,196.201,massa,19.0,Brazilian,ferrari,Italian,2009,9,German Grand Prix,43200000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,Finished,0.0,32.0,4.0,0.0,91600.0,101708.0,94574.0,43,28,Sunny and overcast,1,0,0,0,1,Race circuit,Clockwise,5.148,60.0,308.617,91600.0,101708.0,95960.66666666669,25,3,62,0,0,0,2,0,2,0,0,1,0,0,0,0,1,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +17.0,13,12,0.0,60,5866186.0,49.0,5.0,94238.0,196.659,nakajima,48.0,Japanese,williams,British,2009,9,German Grand Prix,43200000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,Finished,0.0,20.5,5.0,0.0,91884.0,102500.0,102500.0,39,24,Sunny and overcast,1,0,0,0,1,Race circuit,Clockwise,5.148,60.0,308.617,91884.0,102500.0,98961.33333333331,22,2,28,0,0,0,0,0,0,0,0,0,0,1,2,1,0,1,0,0,2,58.0,72.0,78.0,73.0,72.0 +8.0,10,13,0.0,60,5871638.0,46.0,12.0,94876.0,195.337,piquet_jr,56.0,Brazilian,renault,French,2009,9,German Grand Prix,43200000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,Finished,0.0,13.0,7.0,0.0,92128.0,95737.0,94803.0,39,24,Sunny and overcast,1,0,0,0,1,Race circuit,Clockwise,5.148,60.0,308.617,92128.0,95737.0,94222.66666666669,23,1,27,0,0,0,0,0,0,0,0,0,1,0,2,1,0,0,2,1,0,58.0,72.0,78.0,73.0,72.0 +16.0,15,4,5.0,60,5824409.0,50.0,7.0,94403.0,196.315,rosberg,6.0,German,williams,British,2009,9,German Grand Prix,43200000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,Finished,0.0,20.5,5.0,0.0,91598.0,102859.0,102859.0,39,24,Sunny and overcast,1,0,0,0,1,Race circuit,Clockwise,5.148,60.0,308.617,91598.0,102859.0,99105.33333333331,21,3,62,0,0,0,0,2,2,0,2,1,0,0,0,0,0,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +20.0,7,15,0.0,60,5875251.0,43.0,14.0,95366.0,194.333,sutil,99.0,German,force_india,Indian,2009,9,German Grand Prix,43200000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,Finished,0.0,0.0,10.0,0.0,92015.0,96740.0,94316.0,41,26,Sunny and overcast,1,0,0,0,1,Race circuit,Clockwise,5.148,60.0,308.617,92015.0,96740.0,94357.0,24,2,44,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,1,4,0,72.0,76.0,76.0,76.0,74.0 +9.0,14,17,0.0,60,5894280.0,52.0,2.0,93654.0,197.885,trulli,75.0,Italian,toyota,Japanese,2009,9,German Grand Prix,43200000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,Finished,0.0,34.5,3.0,0.0,91760.0,102771.0,102771.0,50,35,Sunny and overcast,1,0,0,0,1,Race circuit,Clockwise,5.148,60.0,308.617,91760.0,102771.0,99100.66666666669,32,3,62,2,0,2,2,0,0,1,0,0,0,0,0,1,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +15.0,4,2,8.0,60,5812562.0,42.0,4.0,94089.0,196.97,vettel,5.0,German,red_bull,Austrian,2009,9,German Grand Prix,43200000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,Finished,2.0,92.5,2.0,3.0,91430.0,99504.0,92480.0,37,22,Sunny and overcast,1,0,0,0,1,Race circuit,Clockwise,5.148,60.0,308.617,91430.0,99504.0,94471.33333333331,20,2,35,4,1,1,1,0,0,0,0,0,0,0,0,1,0,1,0,0,1,58.0,72.0,78.0,73.0,72.0 +14.0,1,1,10.0,60,5803310.0,37.0,3.0,94003.0,197.151,webber,91.0,Australian,red_bull,Austrian,2009,9,German Grand Prix,43200000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,Finished,0.0,92.5,2.0,3.0,91257.0,98038.0,92230.0,48,33,Sunny and overcast,1,0,0,0,1,Race circuit,Clockwise,5.148,60.0,308.617,91257.0,98038.0,93841.66666666669,30,3,62,4,3,1,0,1,1,0,0,0,0,1,1,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +11.0,19,15,0.0,69,,69.0,16.0,83444.0,189.008,alguersuari,66.0,Spanish,toro_rosso,Italian,2009,10,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,5.0,9.0,0.0,82359.0,82359.0,82359.0,34,19,Sunny25 °C (77 °F)[3],1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,82359.0,82359.0,82359.0,19,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +23.0,12,10,0.0,70,5973132.0,55.0,9.0,83024.0,189.964,barrichello,96.0,Brazilian,brawn,British,2009,10,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,114.0,1.0,6.0,81558.0,81222.0,81222.0,52,37,Sunny25 °C (77 °F)[3],1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,81222.0,81558.0,81334.0,34,3,63,4,3,1,1,2,1,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +12.0,10,16,0.0,69,,69.0,7.0,82955.0,190.122,buemi,92.0,Swiss,toro_rosso,Italian,2009,10,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,5.0,9.0,0.0,81571.0,81002.0,81002.0,36,21,Sunny25 °C (77 °F)[3],1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,81002.0,81571.0,81191.66666666667,21,0,10,0,0,0,0,0,0,1,1,0,0,0,0,0,0,1,2,1,2,58.0,72.0,78.0,73.0,72.0 +22.0,8,7,2.0,70,5958964.0,57.0,6.0,82706.0,190.694,button,22.0,British,brawn,British,2009,10,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,6.0,114.0,1.0,6.0,81471.0,80707.0,82511.0,44,29,Sunny25 °C (77 °F)[3],1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,80707.0,82511.0,81563.0,26,3,63,7,0,1,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +21.0,16,14,0.0,69,,40.0,10.0,83174.0,189.621,fisichella,84.0,Italian,force_india,Indian,2009,10,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,0.0,10.0,0.0,81807.0,81807.0,81807.0,51,36,Sunny25 °C (77 °F)[3],1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,81807.0,81807.0,81807.0,33,3,63,0,0,0,0,0,0,0,0,1,1,2,0,0,2,1,0,0,1,72.0,76.0,76.0,76.0,74.0 +10.0,13,6,3.0,70,5939113.0,63.0,5.0,82506.0,191.157,glock,65.0,German,toyota,Japanese,2009,10,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,38.5,4.0,0.0,81584.0,81242.0,81242.0,42,27,Sunny25 °C (77 °F)[3],1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,81242.0,81584.0,81356.0,26,1,28,1,0,1,1,0,0,2,1,2,2,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +1.0,4,1,10.0,70,5903876.0,16.0,4.0,82479.0,191.219,hamilton,44.0,British,mclaren,British,2009,10,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,28.0,5.0,1.0,80842.0,80465.0,81839.0,39,24,Sunny25 °C (77 °F)[3],1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,80465.0,81839.0,81048.66666666667,22,2,45,0,0,0,1,0,1,1,0,1,0,0,1,1,0,0,1,0,1,72.0,76.0,76.0,76.0,74.0 +6.0,15,11,0.0,70,5974488.0,65.0,14.0,83282.0,189.375,heidfeld,43.0,German,bmw_sauber,German,2009,10,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,8.0,8.0,0.0,81738.0,81738.0,81738.0,47,32,Sunny25 °C (77 °F)[3],1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,81738.0,81738.0,81738.0,29,3,63,1,1,0,0,0,0,1,0,0,2,2,1,0,0,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +2.0,6,5,4.0,70,5938268.0,63.0,8.0,82958.0,190.115,kovalainen,52.0,Finnish,mclaren,British,2009,10,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,28.0,5.0,1.0,81659.0,80807.0,82095.0,43,28,Sunny25 °C (77 °F)[3],1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,80807.0,82095.0,81520.33333333333,26,2,45,0,0,0,0,1,0,0,1,0,0,0,1,0,1,0,2,0,0,72.0,76.0,76.0,76.0,74.0 +5.0,18,13,0.0,70,5977922.0,65.0,12.0,83224.0,189.507,kubica,88.0,Polish,bmw_sauber,German,2009,10,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,8.0,8.0,0.0,81901.0,81901.0,81901.0,40,25,Sunny25 °C (77 °F)[3],1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,81901.0,81901.0,81901.0,22,3,50,0,0,0,0,0,0,1,0,0,0,1,0,2,2,0,0,1,1,72.0,76.0,76.0,76.0,74.0 +17.0,9,9,0.0,70,5972650.0,55.0,11.0,83180.0,189.608,nakajima,48.0,Japanese,williams,British,2009,10,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,25.5,6.0,0.0,81407.0,80570.0,82835.0,39,24,Sunny25 °C (77 °F)[3],1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,80570.0,82835.0,81604.0,22,2,29,0,0,0,0,0,0,0,0,0,0,1,3,1,0,1,0,0,2,58.0,72.0,78.0,73.0,72.0 +8.0,14,12,0.0,70,5975388.0,65.0,15.0,83418.0,189.067,piquet_jr,56.0,Brazilian,renault,French,2009,10,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,13.0,7.0,0.0,81278.0,81389.0,81389.0,39,24,Sunny25 °C (77 °F)[3],1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,81278.0,81389.0,81352.0,23,1,28,0,0,0,0,0,0,0,0,0,1,0,2,2,0,0,2,1,0,58.0,72.0,78.0,73.0,72.0 +4.0,7,2,8.0,70,5915405.0,70.0,2.0,82434.0,191.323,raikkonen,7.0,Finnish,ferrari,Italian,2009,10,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,40.0,3.0,0.0,81500.0,80647.0,82468.0,45,30,Sunny25 °C (77 °F)[3],1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,80647.0,82468.0,81538.33333333333,27,3,63,1,0,1,0,0,1,0,1,1,1,0,0,0,1,2,0,0,0,72.0,76.0,76.0,76.0,74.0 +16.0,5,4,5.0,70,5930843.0,65.0,3.0,82468.0,191.245,rosberg,6.0,German,williams,British,2009,10,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,25.5,6.0,0.0,80793.0,80862.0,81890.0,39,24,Sunny25 °C (77 °F)[3],1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,80793.0,81890.0,81181.66666666667,21,3,63,0,0,0,1,2,2,0,2,1,0,0,0,0,0,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +9.0,11,8,1.0,70,5972048.0,65.0,13.0,83261.0,189.423,trulli,75.0,Italian,toyota,Japanese,2009,10,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,38.5,4.0,0.0,81416.0,81082.0,81082.0,50,35,Sunny25 °C (77 °F)[3],1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,81082.0,81416.0,81193.33333333333,32,3,63,2,0,2,2,0,0,1,0,0,0,0,0,1,0,0,0,2,0,72.0,76.0,76.0,76.0,74.0 +14.0,3,3,6.0,70,5920762.0,65.0,1.0,81931.0,192.498,webber,91.0,Australian,red_bull,Austrian,2009,10,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,1.0,98.5,2.0,3.0,80964.0,80358.0,81741.0,48,33,Sunny25 °C (77 °F)[3],1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,80358.0,81741.0,81021.0,30,3,63,5,3,1,0,1,1,0,0,0,0,1,1,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +11.0,19,16,0.0,56,,29.0,19.0,100935.0,193.276,alguersuari,66.0,Spanish,toro_rosso,Italian,2009,11,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,+1 Lap,0.0,5.0,9.0,0.0,99925.0,99925.0,99925.0,34,19,Hot and dry with temperatures reaching up to 33 °C (91 °F)[1],1,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,99925.0,99925.0,99925.0,19,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +7.0,8,6,3.0,57,5779033.0,46.0,10.0,99494.0,196.076,alonso,14.0,Spanish,renault,French,2009,11,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,Finished,0.0,16.0,7.0,0.0,99155.0,98717.0,100236.0,43,28,Hot and dry with temperatures reaching up to 33 °C (91 °F)[1],1,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,98717.0,100236.0,99369.33333333331,25,3,64,0,0,0,0,2,0,2,1,1,1,1,0,0,1,0,0,0,1,72.0,76.0,76.0,76.0,74.0 +3.0,20,17,0.0,56,,52.0,18.0,100590.0,193.939,badoer,71.0,Italian,ferrari,Italian,2009,11,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,+1 Lap,0.0,46.0,3.0,0.0,101413.0,101413.0,101413.0,53,38,Hot and dry with temperatures reaching up to 33 °C (91 °F)[1],1,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,101413.0,101413.0,101413.0,38,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +23.0,3,1,10.0,57,5751289.0,39.0,3.0,98990.0,197.074,barrichello,96.0,Brazilian,brawn,British,2009,11,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,Finished,0.0,126.0,1.0,7.0,99019.0,98076.0,99563.0,52,37,Hot and dry with temperatures reaching up to 33 °C (91 °F)[1],1,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,98076.0,99563.0,98886.0,34,3,64,4,3,1,1,2,1,0,0,0,1,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +22.0,5,7,2.0,57,5786202.0,46.0,2.0,98874.0,197.305,button,22.0,British,brawn,British,2009,11,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,Finished,6.0,126.0,1.0,7.0,98531.0,98601.0,99821.0,44,29,Hot and dry with temperatures reaching up to 33 °C (91 °F)[1],1,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,98531.0,99821.0,98984.33333333331,26,3,64,7,0,1,0,1,1,1,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +21.0,16,12,0.0,57,5814903.0,53.0,17.0,100111.0,194.867,fisichella,84.0,Italian,force_india,Indian,2009,11,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,Finished,0.0,0.0,10.0,0.0,99531.0,99531.0,99531.0,51,36,Hot and dry with temperatures reaching up to 33 °C (91 °F)[1],1,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,99531.0,99531.0,99531.0,33,3,64,0,0,0,0,0,0,0,0,1,1,2,0,0,3,1,0,0,1,72.0,76.0,76.0,76.0,74.0 +10.0,13,14,0.0,57,5837808.0,55.0,1.0,98683.0,197.687,glock,65.0,German,toyota,Japanese,2009,11,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,Finished,0.0,38.5,5.0,0.0,99459.0,98991.0,98991.0,42,27,Hot and dry with temperatures reaching up to 33 °C (91 °F)[1],1,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,98991.0,99459.0,99147.0,26,1,29,1,0,1,1,0,1,2,1,2,2,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,14,15,0.0,57,5843063.0,41.0,9.0,99428.0,196.206,grosjean,8.0,French,renault,French,2009,11,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,Finished,0.0,16.0,7.0,0.0,99322.0,99040.0,99040.0,38,23,Hot and dry with temperatures reaching up to 33 °C (91 °F)[1],1,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,99040.0,99322.0,99134.0,23,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +1.0,1,2,8.0,57,5753647.0,57.0,4.0,99056.0,196.943,hamilton,44.0,British,mclaren,British,2009,11,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,Finished,1.0,41.0,4.0,1.0,98649.0,98182.0,99489.0,39,24,Hot and dry with temperatures reaching up to 33 °C (91 °F)[1],1,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,98182.0,99489.0,98773.33333333331,22,2,46,1,0,0,1,0,1,1,0,1,0,0,1,1,0,0,1,0,1,72.0,76.0,76.0,76.0,74.0 +6.0,11,11,0.0,57,5800111.0,53.0,13.0,99704.0,195.663,heidfeld,43.0,German,bmw_sauber,German,2009,11,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,Finished,0.0,9.0,8.0,0.0,99032.0,98826.0,98826.0,47,32,Hot and dry with temperatures reaching up to 33 °C (91 °F)[1],1,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,98826.0,99032.0,98894.66666666669,29,3,64,1,1,0,0,0,0,1,0,0,2,3,1,0,0,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +2.0,2,4,5.0,57,5771321.0,56.0,7.0,99341.0,196.378,kovalainen,52.0,Finnish,mclaren,British,2009,11,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,Finished,0.0,41.0,4.0,1.0,98816.0,98230.0,99532.0,43,28,Hot and dry with temperatures reaching up to 33 °C (91 °F)[1],1,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,98230.0,99532.0,98859.33333333331,26,2,46,0,0,0,0,2,0,0,1,0,0,0,1,0,1,0,2,0,0,72.0,76.0,76.0,76.0,74.0 +5.0,10,8,1.0,57,5787956.0,55.0,8.0,99374.0,196.312,kubica,88.0,Polish,bmw_sauber,German,2009,11,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,Finished,0.0,9.0,8.0,0.0,98806.0,98747.0,100512.0,40,25,Hot and dry with temperatures reaching up to 33 °C (91 °F)[1],1,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,98747.0,100512.0,99355.0,22,3,51,0,0,0,0,0,0,1,0,0,0,1,0,3,2,0,0,1,1,72.0,76.0,76.0,76.0,74.0 +17.0,17,18,0.0,54,,53.0,14.0,99747.0,195.578,nakajima,48.0,Japanese,williams,British,2009,11,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,+3 Laps,0.0,29.5,6.0,0.0,99795.0,99795.0,99795.0,39,24,Hot and dry with temperatures reaching up to 33 °C (91 °F)[1],1,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,99795.0,99795.0,99795.0,22,2,30,0,0,0,0,0,0,0,0,1,0,1,3,1,0,1,0,0,2,58.0,72.0,78.0,73.0,72.0 +4.0,6,3,6.0,57,5767283.0,39.0,5.0,99207.0,196.643,raikkonen,7.0,Finnish,ferrari,Italian,2009,11,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,Finished,0.0,46.0,3.0,0.0,98843.0,98782.0,100144.0,45,30,Hot and dry with temperatures reaching up to 33 °C (91 °F)[1],1,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,98782.0,100144.0,99256.33333333331,27,3,64,2,1,1,0,0,1,0,1,1,1,0,0,0,1,2,0,0,0,72.0,76.0,76.0,76.0,74.0 +16.0,7,5,4.0,57,5772159.0,52.0,6.0,99329.0,196.401,rosberg,6.0,German,williams,British,2009,11,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,Finished,0.0,29.5,6.0,0.0,99039.0,98346.0,100185.0,39,24,Hot and dry with temperatures reaching up to 33 °C (91 °F)[1],1,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,98346.0,100185.0,99190.0,21,3,64,0,0,0,2,2,2,0,2,1,0,0,0,0,0,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +20.0,12,10,0.0,57,5799224.0,36.0,12.0,99622.0,195.824,sutil,99.0,German,force_india,Indian,2009,11,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,Finished,0.0,0.0,10.0,0.0,99145.0,98846.0,98846.0,41,26,Hot and dry with temperatures reaching up to 33 °C (91 °F)[1],1,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,98846.0,99145.0,98945.66666666669,24,2,46,0,0,0,0,0,0,0,0,1,0,0,0,0,1,1,1,4,0,72.0,76.0,76.0,76.0,74.0 +9.0,18,13,0.0,57,5815816.0,52.0,15.0,99941.0,195.199,trulli,75.0,Italian,toyota,Japanese,2009,11,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,Finished,0.0,38.5,5.0,0.0,99807.0,99807.0,99807.0,50,35,Hot and dry with temperatures reaching up to 33 °C (91 °F)[1],1,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,99807.0,99807.0,99807.0,32,3,64,2,0,2,2,0,0,1,1,0,0,0,0,1,0,0,0,2,0,72.0,76.0,76.0,76.0,74.0 +14.0,9,9,0.0,57,5796199.0,50.0,11.0,99528.0,196.009,webber,91.0,Australian,red_bull,Austrian,2009,11,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,Finished,1.0,98.5,2.0,3.0,98983.0,98625.0,100239.0,48,33,Hot and dry with temperatures reaching up to 33 °C (91 °F)[1],1,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,98625.0,100239.0,99282.33333333331,30,3,64,6,3,2,0,1,1,0,0,0,0,1,1,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +3.0,20,14,0.0,44,5133172.0,41.0,15.0,109803.0,229.633,badoer,71.0,Italian,ferrari,Italian,2009,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,56.0,3.0,1.0,106957.0,106957.0,106957.0,53,38,Clear but Mild,1,0,0,0,0,Race circuit,Clockwise,7.004,44.0,308.052,106957.0,106957.0,106957.0,38,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +23.0,4,7,2.0,44,5066456.0,37.0,12.0,108257.0,232.912,barrichello,96.0,Brazilian,brawn,British,2009,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,1.0,128.0,1.0,7.0,105237.0,104834.0,106513.0,52,37,Clear but Mild,1,0,0,0,0,Race circuit,Clockwise,7.004,44.0,308.052,104834.0,106513.0,105528.0,34,3,65,5,3,1,1,2,1,0,0,0,1,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +12.0,16,12,0.0,44,5077101.0,42.0,7.0,107763.0,233.98,buemi,92.0,Swiss,toro_rosso,Italian,2009,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,5.0,10.0,0.0,105951.0,105951.0,105951.0,36,21,Clear but Mild,1,0,0,0,0,Race circuit,Clockwise,7.004,44.0,308.052,105951.0,105951.0,105951.0,21,0,12,0,0,0,0,0,0,1,1,0,0,0,0,0,0,1,3,1,2,58.0,72.0,78.0,73.0,72.0 +21.0,1,2,8.0,44,5031934.0,43.0,6.0,107737.0,234.036,fisichella,84.0,Italian,force_india,Indian,2009,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,8.0,9.0,0.0,105102.0,104667.0,106308.0,51,36,Clear but Mild,1,0,0,0,0,Race circuit,Clockwise,7.004,44.0,308.052,104667.0,106308.0,105359.0,33,3,65,0,0,0,0,0,0,0,0,1,1,2,1,0,3,1,0,0,1,72.0,76.0,76.0,76.0,74.0 +10.0,7,10,0.0,44,5072485.0,40.0,5.0,107736.0,234.038,glock,65.0,German,toyota,Japanese,2009,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,38.5,5.0,0.0,105450.0,104877.0,106677.0,42,27,Clear but Mild,1,0,0,0,0,Race circuit,Clockwise,7.004,44.0,308.052,104877.0,106677.0,105668.0,26,1,30,1,0,1,1,0,1,2,1,2,2,0,0,0,1,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +6.0,3,5,4.0,44,5042271.0,35.0,2.0,107371.0,234.834,heidfeld,43.0,German,bmw_sauber,German,2009,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,18.0,7.0,0.0,105566.0,104709.0,106500.0,47,32,Clear but Mild,1,0,0,0,0,Race circuit,Clockwise,7.004,44.0,308.052,104709.0,106500.0,105591.66666666669,29,3,65,1,1,0,0,0,0,1,0,0,2,4,1,0,0,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +2.0,15,6,3.0,44,5063758.0,24.0,13.0,108348.0,232.716,kovalainen,52.0,Finnish,mclaren,British,2009,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,44.0,4.0,1.0,105705.0,105259.0,105259.0,43,28,Clear but Mild,1,0,0,0,0,Race circuit,Clockwise,7.004,44.0,308.052,105259.0,105705.0,105407.66666666669,26,2,47,0,0,0,1,2,0,0,1,0,0,0,1,0,1,0,2,0,0,72.0,76.0,76.0,76.0,74.0 +5.0,5,4,5.0,44,5040961.0,41.0,3.0,107664.0,234.195,kubica,88.0,Polish,bmw_sauber,German,2009,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,18.0,7.0,0.0,105655.0,104557.0,106586.0,40,25,Clear but Mild,1,0,0,0,0,Race circuit,Clockwise,7.004,44.0,308.052,104557.0,106586.0,105599.33333333331,22,3,52,0,0,0,0,0,0,1,1,0,0,1,0,3,2,0,0,1,1,72.0,76.0,76.0,76.0,74.0 +17.0,18,13,0.0,44,5085236.0,42.0,11.0,108205.0,233.024,nakajima,48.0,Japanese,williams,British,2009,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,30.5,6.0,0.0,106307.0,106307.0,106307.0,39,24,Clear but Mild,1,0,0,0,0,Race circuit,Clockwise,7.004,44.0,308.052,106307.0,106307.0,106307.0,22,2,31,0,0,0,0,0,0,0,0,1,0,1,3,1,0,1,0,0,3,58.0,72.0,78.0,73.0,72.0 +4.0,6,1,10.0,44,5030995.0,42.0,4.0,107674.0,234.173,raikkonen,7.0,Finnish,ferrari,Italian,2009,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,56.0,3.0,1.0,105579.0,104953.0,106633.0,45,30,Clear but Mild,1,0,0,0,0,Race circuit,Clockwise,7.004,44.0,308.052,104953.0,106633.0,105721.66666666669,27,3,65,3,1,2,0,0,1,0,1,1,1,0,0,0,1,2,0,0,0,72.0,76.0,76.0,76.0,74.0 +16.0,10,8,1.0,44,5067203.0,41.0,8.0,107766.0,233.973,rosberg,6.0,German,williams,British,2009,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,30.5,6.0,0.0,105486.0,105047.0,107362.0,39,24,Clear but Mild,1,0,0,0,0,Race circuit,Clockwise,7.004,44.0,308.052,105047.0,107362.0,105965.0,21,3,65,0,0,0,2,3,2,0,2,1,0,0,0,0,0,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +20.0,11,11,0.0,44,5073631.0,42.0,10.0,107859.0,233.771,sutil,99.0,German,force_india,Indian,2009,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,8.0,9.0,0.0,105239.0,105119.0,105119.0,41,26,Clear but Mild,1,0,0,0,0,Race circuit,Clockwise,7.004,44.0,308.052,105119.0,105239.0,105159.0,24,2,47,0,0,0,0,0,0,0,0,1,1,0,0,0,1,1,1,4,0,72.0,76.0,76.0,76.0,74.0 +15.0,8,3,6.0,44,5034870.0,38.0,1.0,107263.0,235.07,vettel,5.0,German,red_bull,Austrian,2009,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,2.0,104.5,2.0,3.0,105372.0,104592.0,106761.0,37,22,Clear but Mild,1,0,0,0,0,Race circuit,Clockwise,7.004,44.0,308.052,104592.0,106761.0,105575.0,20,2,38,5,2,1,1,0,0,0,0,0,0,0,0,1,0,1,0,1,1,72.0,76.0,76.0,76.0,74.0 +14.0,9,9,0.0,44,5067954.0,39.0,9.0,107783.0,233.936,webber,91.0,Australian,red_bull,Austrian,2009,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,1.0,104.5,2.0,3.0,105350.0,104924.0,106788.0,48,33,Clear but Mild,1,0,0,0,0,Race circuit,Clockwise,7.004,44.0,308.052,104924.0,106788.0,105687.33333333331,30,3,65,6,3,2,0,1,1,0,0,1,0,1,1,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +7.0,8,5,4.0,53,4640888.0,50.0,8.0,85199.0,244.777,alonso,14.0,Spanish,renault,French,2009,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,20.0,8.0,0.0,83708.0,83497.0,85072.0,43,28,Mainly sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,83497.0,85072.0,84092.33333333333,25,3,66,0,0,0,0,2,1,2,1,1,1,1,0,0,1,1,0,0,1,72.0,76.0,76.0,76.0,74.0 +23.0,5,1,10.0,53,4581706.0,48.0,5.0,84967.0,245.445,barrichello,96.0,Brazilian,brawn,British,2009,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,1.0,146.0,1.0,8.0,83483.0,82976.0,85015.0,52,37,Mainly sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,82976.0,85015.0,83824.66666666667,34,3,66,5,3,1,1,2,1,1,0,0,1,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +12.0,19,13,0.0,52,,50.0,11.0,85564.0,243.733,buemi,92.0,Swiss,toro_rosso,Italian,2009,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,5.0,10.0,0.0,84220.0,84220.0,84220.0,36,21,Mainly sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,84220.0,84220.0,84220.0,21,0,13,0,0,0,0,0,0,1,1,0,0,0,1,0,0,1,3,1,2,58.0,72.0,78.0,73.0,72.0 +22.0,6,2,8.0,53,4584572.0,46.0,4.0,84935.0,245.538,button,22.0,British,brawn,British,2009,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,6.0,146.0,1.0,8.0,83403.0,82955.0,85030.0,44,29,Mainly sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,82955.0,85030.0,83796.0,26,3,66,7,0,1,0,1,1,2,0,0,0,0,0,0,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +3.0,14,9,0.0,53,4668562.0,28.0,10.0,85498.0,243.921,fisichella,84.0,Italian,ferrari,Italian,2009,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,62.0,3.0,1.0,83828.0,83901.0,83901.0,51,36,Mainly sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,83828.0,83901.0,83876.66666666667,33,3,66,1,1,0,0,0,0,0,0,1,1,2,1,0,3,1,0,0,1,72.0,76.0,76.0,76.0,74.0 +10.0,16,11,0.0,53,4745631.0,50.0,14.0,85751.0,243.201,glock,65.0,German,toyota,Japanese,2009,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,38.5,5.0,0.0,84036.0,84036.0,84036.0,42,27,Mainly sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,84036.0,84036.0,84036.0,26,1,31,1,0,1,1,0,1,2,1,2,3,0,0,0,1,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,12,15,0.0,52,,51.0,12.0,85609.0,243.605,grosjean,8.0,French,renault,French,2009,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,20.0,8.0,0.0,83975.0,83728.0,83728.0,38,23,Mainly sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,83728.0,83975.0,83810.33333333333,23,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,58.0,72.0,78.0,73.0,72.0 +6.0,15,7,2.0,53,4664118.0,30.0,9.0,85488.0,243.95,heidfeld,43.0,German,bmw_sauber,German,2009,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,20.0,7.0,0.0,83584.0,84275.0,84275.0,47,32,Mainly sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,83584.0,84275.0,84044.66666666667,29,3,66,1,1,0,0,1,0,1,0,0,2,4,1,0,0,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +2.0,4,6,3.0,53,4642399.0,51.0,6.0,85109.0,245.036,kovalainen,52.0,Finnish,mclaren,British,2009,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,47.0,4.0,1.0,83515.0,83528.0,84845.0,43,28,Mainly sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,83515.0,84845.0,83962.66666666667,26,2,48,0,0,0,1,2,1,0,1,0,0,0,1,0,1,0,2,0,0,72.0,76.0,76.0,76.0,74.0 +17.0,17,10,0.0,53,4743869.0,51.0,16.0,85976.0,242.565,nakajima,48.0,Japanese,williams,British,2009,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,30.5,6.0,0.0,84074.0,84074.0,84074.0,39,24,Mainly sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,84074.0,84074.0,84074.0,22,2,32,0,0,0,0,0,0,0,0,1,0,1,3,2,0,1,0,0,3,58.0,72.0,78.0,73.0,72.0 +4.0,3,3,6.0,53,4612370.0,36.0,2.0,84761.0,246.042,raikkonen,7.0,Finnish,ferrari,Italian,2009,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,1.0,62.0,3.0,1.0,83349.0,83426.0,84523.0,45,30,Mainly sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,83349.0,84523.0,83766.0,27,3,66,4,1,2,0,0,1,0,1,1,1,0,0,0,1,2,0,0,0,72.0,76.0,76.0,76.0,74.0 +16.0,18,16,0.0,51,,50.0,15.0,85901.0,242.777,rosberg,6.0,German,williams,British,2009,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+2 Laps,0.0,30.5,6.0,0.0,84121.0,84121.0,84121.0,39,24,Mainly sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,84121.0,84121.0,84121.0,21,3,66,0,0,0,2,3,2,0,3,1,0,0,0,0,0,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +20.0,2,4,5.0,53,4612837.0,36.0,1.0,84739.0,246.106,sutil,99.0,German,force_india,Indian,2009,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,13.0,9.0,0.0,83576.0,83070.0,84261.0,41,26,Mainly sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,83070.0,84261.0,83635.66666666667,24,2,48,0,0,0,0,0,0,0,0,1,1,1,0,0,1,1,1,4,0,72.0,76.0,76.0,76.0,74.0 +9.0,11,14,0.0,52,,49.0,13.0,85700.0,243.346,trulli,75.0,Italian,toyota,Japanese,2009,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,38.5,5.0,0.0,84014.0,83611.0,83611.0,50,35,Mainly sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,83611.0,84014.0,83745.33333333333,32,3,66,2,0,2,2,0,0,1,1,0,0,0,0,2,0,0,1,2,0,72.0,76.0,76.0,76.0,74.0 +15.0,9,8,1.0,53,4667113.0,50.0,7.0,85194.0,244.791,vettel,5.0,German,red_bull,Austrian,2009,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,2.0,105.5,2.0,3.0,83558.0,83545.0,85180.0,37,22,Mainly sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,83545.0,85180.0,84094.33333333333,20,2,39,6,2,2,1,0,0,0,0,0,0,0,0,1,0,1,0,1,1,72.0,76.0,76.0,76.0,74.0 +7.0,5,3,6.0,61,6982961.0,53.0,1.0,108240.0,168.725,alonso,14.0,Spanish,renault,French,2009,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,26.0,7.0,0.0,107757.0,106767.0,109054.0,43,28,Hot and Dry,1,0,1,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,106767.0,109054.0,107859.33333333331,25,3,67,0,0,0,0,3,1,2,1,1,1,1,0,0,1,1,0,0,1,72.0,76.0,76.0,76.0,74.0 +23.0,9,6,3.0,61,6998195.0,50.0,8.0,108598.0,168.168,barrichello,96.0,Brazilian,brawn,British,2009,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,2.0,153.0,1.0,8.0,107397.0,106787.0,108828.0,52,37,Hot and Dry,1,0,1,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,106787.0,108828.0,107670.66666666669,34,3,67,6,3,1,1,2,1,1,0,0,1,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +22.0,11,5,4.0,61,6996352.0,54.0,4.0,108369.0,168.524,button,22.0,British,brawn,British,2009,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,6.0,153.0,1.0,8.0,107180.0,107141.0,107141.0,44,29,Hot and Dry,1,0,1,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,107141.0,107180.0,107154.0,26,3,67,8,1,1,0,1,1,2,0,0,0,0,0,0,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +3.0,17,13,0.0,61,7046227.0,49.0,14.0,109417.0,166.91,fisichella,84.0,Italian,ferrari,Italian,2009,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,62.0,3.0,1.0,108350.0,108350.0,108350.0,51,36,Hot and Dry,1,0,1,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,108350.0,108350.0,108350.0,33,3,67,1,1,0,0,0,0,0,0,2,1,2,1,0,3,1,0,0,1,72.0,76.0,76.0,76.0,74.0 +10.0,6,2,8.0,61,6975971.0,34.0,6.0,108396.0,168.482,glock,65.0,German,toyota,Japanese,2009,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,46.5,5.0,0.0,107770.0,106707.0,109180.0,42,27,Hot and Dry,1,0,1,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,106707.0,109180.0,107885.66666666669,26,1,32,1,0,1,1,0,1,2,1,2,3,1,0,0,1,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +1.0,1,1,10.0,61,6966337.0,36.0,2.0,108345.0,168.561,hamilton,44.0,British,mclaren,British,2009,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,1.0,59.0,4.0,2.0,106977.0,106657.0,107891.0,39,24,Hot and Dry,1,0,1,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,106657.0,107891.0,107175.0,22,2,49,2,1,0,1,0,1,1,0,1,0,0,2,1,0,0,1,0,1,72.0,76.0,76.0,76.0,74.0 +2.0,8,7,2.0,61,7002494.0,36.0,11.0,109283.0,167.114,kovalainen,52.0,Finnish,mclaren,British,2009,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,59.0,4.0,2.0,107542.0,106842.0,109778.0,43,28,Hot and Dry,1,0,1,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,106842.0,109778.0,108054.0,26,2,49,0,0,0,1,2,2,0,1,0,0,0,1,0,1,0,2,0,0,72.0,76.0,76.0,76.0,74.0 +5.0,7,8,1.0,61,7021391.0,44.0,10.0,108847.0,167.784,kubica,88.0,Polish,bmw_sauber,German,2009,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,21.0,8.0,0.0,107615.0,106813.0,109514.0,40,25,Hot and Dry,1,0,1,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,106813.0,109514.0,107980.66666666669,22,3,54,0,0,0,1,0,0,1,1,0,0,1,0,3,2,0,0,1,1,72.0,76.0,76.0,76.0,74.0 +21.0,19,14,0.0,61,7059839.0,48.0,15.0,109852.0,166.249,liuzzi,29.0,Italian,force_india,Indian,2009,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,13.0,9.0,0.0,108792.0,108792.0,108792.0,44,29,Hot and Dry,1,0,1,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,108792.0,108792.0,108792.0,26,3,37,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +17.0,10,9,0.0,61,7022391.0,45.0,13.0,109371.0,166.98,nakajima,48.0,Japanese,williams,British,2009,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,30.5,6.0,0.0,107637.0,107013.0,107013.0,39,24,Hot and Dry,1,0,1,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,107013.0,107637.0,107221.0,22,2,33,0,0,0,0,0,0,0,0,1,1,1,3,2,0,1,0,0,3,58.0,72.0,78.0,73.0,72.0 +4.0,12,10,0.0,61,7025229.0,54.0,5.0,108391.0,168.49,raikkonen,7.0,Finnish,ferrari,Italian,2009,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,1.0,62.0,3.0,1.0,107293.0,107177.0,107177.0,45,30,Hot and Dry,1,0,1,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,107177.0,107293.0,107215.66666666669,27,3,67,5,1,3,0,0,1,0,1,1,1,0,0,0,1,2,0,0,0,72.0,76.0,76.0,76.0,74.0 +16.0,3,11,0.0,61,7026114.0,9.0,3.0,108352.0,168.55,rosberg,6.0,German,williams,British,2009,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,30.5,6.0,0.0,107390.0,106197.0,108348.0,39,24,Hot and Dry,1,0,1,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,106197.0,108348.0,107311.66666666669,21,3,67,0,0,0,2,3,2,0,3,1,0,0,0,0,0,1,1,0,0,72.0,76.0,76.0,76.0,74.0 +9.0,14,12,0.0,61,7039346.0,54.0,9.0,108816.0,167.831,trulli,75.0,Italian,toyota,Japanese,2009,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,46.5,5.0,0.0,107690.0,107413.0,107413.0,50,35,Hot and Dry,1,0,1,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,107413.0,107690.0,107505.33333333331,32,3,67,2,0,2,2,0,0,1,1,0,0,0,0,2,1,0,1,2,0,72.0,76.0,76.0,76.0,74.0 +15.0,2,4,5.0,61,6986958.0,10.0,7.0,108398.0,168.479,vettel,5.0,German,red_bull,Austrian,2009,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,2.0,110.5,2.0,3.0,107541.0,106362.0,108204.0,37,22,Hot and Dry,1,0,1,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,106362.0,108204.0,107369.0,20,2,40,6,2,2,1,0,0,0,1,0,0,0,0,1,0,1,0,1,1,72.0,76.0,76.0,76.0,74.0 +7.0,16,10,0.0,53,5313508.0,28.0,14.0,93946.0,222.523,alonso,14.0,Spanish,renault,French,2009,15,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,26.0,7.0,0.0,91401.0,91638.0,91638.0,43,28,"Sunny, Dry",1,0,1,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,91401.0,91638.0,91559.0,25,3,68,1,0,1,0,3,1,2,1,1,1,1,0,0,1,1,0,0,1,72.0,76.0,76.0,76.0,74.0 +23.0,6,7,2.0,53,5311084.0,17.0,13.0,93910.0,222.608,barrichello,96.0,Brazilian,brawn,British,2009,15,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,2.0,156.0,1.0,8.0,91272.0,91055.0,92660.0,52,37,"Sunny, Dry",1,0,1,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,91055.0,92660.0,91662.33333333331,34,3,68,6,3,1,1,2,2,1,0,0,1,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +22.0,10,8,1.0,53,5311917.0,42.0,5.0,93251.0,224.182,button,22.0,British,brawn,British,2009,15,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,6.0,156.0,1.0,8.0,91041.0,90880.0,92962.0,44,29,"Sunny, Dry",1,0,1,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,90880.0,92962.0,91627.66666666669,26,3,68,8,1,1,0,2,1,2,0,0,0,0,0,0,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +3.0,14,12,0.0,53,5315039.0,33.0,8.0,93479.0,223.635,fisichella,84.0,Italian,ferrari,Italian,2009,15,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,67.0,3.0,1.0,91704.0,91704.0,91704.0,51,36,"Sunny, Dry",1,0,1,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,91704.0,91704.0,91704.0,33,3,68,1,1,0,0,0,0,0,0,2,1,2,1,1,3,1,0,0,1,72.0,76.0,76.0,76.0,74.0 +8.0,17,16,0.0,52,,39.0,17.0,94643.0,220.884,grosjean,8.0,French,renault,French,2009,15,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+1 Lap,0.0,26.0,7.0,0.0,92073.0,92073.0,92073.0,38,23,"Sunny, Dry",1,0,1,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,92073.0,92073.0,92073.0,23,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,1,58.0,72.0,78.0,73.0,72.0 +1.0,3,3,6.0,53,5306915.0,13.0,6.0,93259.0,224.162,hamilton,44.0,British,mclaren,British,2009,15,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,2.0,65.0,4.0,2.0,90917.0,90627.0,92395.0,39,24,"Sunny, Dry",1,0,1,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,90627.0,92395.0,91313.0,22,2,50,3,1,0,1,0,1,1,0,1,0,0,2,1,0,0,1,0,1,72.0,76.0,76.0,76.0,74.0 +6.0,4,6,3.0,53,5309952.0,13.0,10.0,93600.0,223.346,heidfeld,43.0,German,bmw_sauber,German,2009,15,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,24.0,8.0,0.0,91501.0,91260.0,92945.0,47,32,"Sunny, Dry",1,0,1,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,91260.0,92945.0,91902.0,29,3,68,1,1,0,0,1,0,2,0,0,2,4,1,0,0,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +2.0,11,11,0.0,53,5314178.0,35.0,12.0,93801.0,222.867,kovalainen,52.0,Finnish,mclaren,British,2009,15,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,65.0,4.0,2.0,91499.0,91223.0,91223.0,43,28,"Sunny, Dry",1,0,1,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,91223.0,91499.0,91315.0,26,2,50,0,0,0,1,2,2,1,1,0,0,0,1,0,1,0,2,0,0,72.0,76.0,76.0,76.0,74.0 +5.0,9,9,0.0,53,5312220.0,44.0,7.0,93334.0,223.982,kubica,88.0,Polish,bmw_sauber,German,2009,15,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,24.0,8.0,0.0,91417.0,92341.0,92341.0,40,25,"Sunny, Dry",1,0,1,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,91417.0,92341.0,92033.0,22,3,55,0,0,0,1,0,0,1,2,0,0,1,0,3,2,0,0,1,1,72.0,76.0,76.0,76.0,74.0 +21.0,18,14,0.0,53,5316177.0,36.0,16.0,94294.0,221.702,liuzzi,29.0,Italian,force_india,Indian,2009,15,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,13.0,9.0,0.0,92087.0,92087.0,92087.0,44,29,"Sunny, Dry",1,0,1,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,92087.0,92087.0,92087.0,26,3,38,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +17.0,15,15,0.0,53,5318416.0,26.0,18.0,94783.0,220.558,nakajima,48.0,Japanese,williams,British,2009,15,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,34.5,6.0,0.0,91718.0,91718.0,91718.0,39,24,"Sunny, Dry",1,0,1,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,91718.0,91718.0,91718.0,22,2,34,0,0,0,0,0,0,0,0,2,1,1,3,2,0,1,0,0,3,58.0,72.0,78.0,73.0,72.0 +4.0,5,4,5.0,53,5308383.0,33.0,3.0,92999.0,224.789,raikkonen,7.0,Finnish,ferrari,Italian,2009,15,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,1.0,67.0,3.0,1.0,91288.0,91052.0,92980.0,45,30,"Sunny, Dry",1,0,1,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,91052.0,92980.0,91773.33333333331,27,3,68,5,1,3,0,0,1,0,1,1,2,0,0,0,1,2,0,0,0,72.0,76.0,76.0,76.0,74.0 +16.0,7,5,4.0,53,5309236.0,43.0,9.0,93595.0,223.358,rosberg,6.0,German,williams,British,2009,15,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,34.5,6.0,0.0,91286.0,91482.0,91482.0,39,24,"Sunny, Dry",1,0,1,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,91286.0,91482.0,91416.66666666669,21,3,68,0,0,0,2,3,2,0,3,1,0,1,0,0,0,1,1,0,0,72.0,76.0,76.0,76.0,74.0 +20.0,8,13,0.0,53,5315402.0,36.0,11.0,93668.0,223.184,sutil,99.0,German,force_india,Indian,2009,15,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,13.0,9.0,0.0,91386.0,91222.0,92466.0,41,26,"Sunny, Dry",1,0,1,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,91222.0,92466.0,91691.33333333331,24,2,50,0,0,0,1,0,0,0,0,1,1,1,0,0,1,1,1,4,1,72.0,76.0,76.0,76.0,74.0 +9.0,2,2,8.0,53,5305320.0,38.0,4.0,93152.0,224.42,trulli,75.0,Italian,toyota,Japanese,2009,15,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,54.5,5.0,0.0,91063.0,90737.0,92220.0,50,35,"Sunny, Dry",1,0,1,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,90737.0,92220.0,91340.0,32,3,68,2,0,2,2,0,0,1,1,0,0,0,1,2,1,0,1,2,0,72.0,76.0,76.0,76.0,74.0 +15.0,1,1,10.0,53,5300443.0,43.0,2.0,92572.0,225.826,vettel,5.0,German,red_bull,Austrian,2009,15,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,2.0,120.5,2.0,4.0,90883.0,90341.0,92160.0,37,22,"Sunny, Dry",1,0,1,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,90341.0,92160.0,91128.0,20,2,41,6,2,2,2,0,0,0,1,0,0,0,0,1,0,1,0,1,1,72.0,76.0,76.0,76.0,74.0 +14.0,19,17,0.0,51,,50.0,1.0,92569.0,225.833,webber,91.0,Australian,red_bull,Austrian,2009,15,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+2 Laps,1.0,120.5,2.0,4.0,92087.0,92087.0,92087.0,48,33,"Sunny, Dry",1,0,1,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,92087.0,92087.0,92087.0,30,3,68,6,3,2,0,1,1,0,0,2,0,1,1,0,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +11.0,12,14,0.0,70,,59.0,13.0,74861.0,207.216,alguersuari,66.0,Spanish,toro_rosso,Italian,2009,16,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,7.0,10.0,0.0,84773.0,82231.0,82231.0,34,19,Partially cloudy and dry,0,0,1,0,1,Race circuit,Anti-clockwise,4.309,71.0,305.879,82231.0,84773.0,83078.33333333333,19,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,1,0,2,58.0,72.0,78.0,73.0,72.0 +23.0,1,8,1.0,71,5588535.0,20.0,3.0,73950.0,209.768,barrichello,96.0,Brazilian,brawn,British,2009,16,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,2.0,161.0,1.0,8.0,84100.0,81659.0,79576.0,52,37,Partially cloudy and dry,0,0,1,0,1,Race circuit,Anti-clockwise,4.309,71.0,305.879,79576.0,84100.0,81778.33333333333,34,3,69,6,3,1,1,2,2,2,0,0,1,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +12.0,6,7,2.0,71,5579072.0,58.0,10.0,74563.0,208.044,buemi,92.0,Swiss,toro_rosso,Italian,2009,16,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,7.0,10.0,0.0,84591.0,80701.0,80250.0,36,21,Partially cloudy and dry,0,0,1,0,1,Race circuit,Anti-clockwise,4.309,71.0,305.879,80250.0,84591.0,81847.33333333333,21,0,16,0,0,0,0,0,0,1,1,0,0,0,1,1,0,1,4,1,2,58.0,72.0,78.0,73.0,72.0 +22.0,14,5,4.0,71,5572086.0,46.0,7.0,74353.0,208.631,button,22.0,British,brawn,British,2009,16,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,6.0,161.0,1.0,8.0,84297.0,82504.0,82504.0,44,29,Partially cloudy and dry,0,0,1,0,1,Race circuit,Anti-clockwise,4.309,71.0,305.879,82504.0,84297.0,83101.66666666667,26,3,69,8,1,1,0,2,1,2,1,0,0,0,0,0,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +3.0,19,11,0.0,71,5613746.0,55.0,14.0,74931.0,207.022,fisichella,84.0,Italian,ferrari,Italian,2009,16,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,70.0,4.0,1.0,100703.0,100703.0,100703.0,51,36,Partially cloudy and dry,0,0,1,0,1,Race circuit,Anti-clockwise,4.309,71.0,305.879,100703.0,100703.0,100703.0,33,3,69,1,1,0,0,0,0,0,0,2,1,2,2,1,3,1,0,0,1,72.0,76.0,76.0,76.0,74.0 +8.0,13,13,0.0,70,,54.0,12.0,74789.0,207.415,grosjean,8.0,French,renault,French,2009,16,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,26.0,8.0,0.0,84394.0,82477.0,82477.0,38,23,Partially cloudy and dry,0,0,1,0,1,Race circuit,Anti-clockwise,4.309,71.0,305.879,82477.0,84394.0,83116.0,23,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,1,0,1,58.0,72.0,78.0,73.0,72.0 +1.0,17,3,6.0,71,5562025.0,59.0,6.0,74345.0,208.654,hamilton,44.0,British,mclaren,British,2009,16,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,2.0,71.0,3.0,2.0,85192.0,85192.0,85192.0,39,24,Partially cloudy and dry,0,0,1,0,1,Race circuit,Anti-clockwise,4.309,71.0,305.879,85192.0,85192.0,85192.0,22,2,51,4,1,1,1,0,1,1,0,1,0,0,2,1,0,0,1,0,1,72.0,76.0,76.0,76.0,74.0 +10.0,11,10,0.0,71,5606405.0,71.0,11.0,74676.0,207.729,kobayashi,10.0,Japanese,toyota,Japanese,2009,16,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,54.5,5.0,0.0,84335.0,81960.0,81960.0,38,23,Partially cloudy and dry,0,0,1,0,1,Race circuit,Anti-clockwise,4.309,71.0,305.879,81960.0,84335.0,82751.66666666667,23,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +2.0,16,9,0.0,71,5591580.0,68.0,5.0,74303.0,208.772,kovalainen,52.0,Finnish,mclaren,British,2009,16,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,71.0,3.0,2.0,85052.0,85052.0,85052.0,43,28,Partially cloudy and dry,0,0,1,0,1,Race circuit,Anti-clockwise,4.309,71.0,305.879,85052.0,85052.0,85052.0,26,2,51,0,0,0,1,2,2,1,1,0,0,1,1,0,1,0,2,0,0,72.0,76.0,76.0,76.0,74.0 +5.0,8,2,8.0,71,5550707.0,38.0,4.0,74155.0,209.188,kubica,88.0,Polish,bmw_sauber,German,2009,16,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,32.0,7.0,0.0,83072.0,81147.0,80631.0,40,25,Partially cloudy and dry,0,0,1,0,1,Race circuit,Anti-clockwise,4.309,71.0,305.879,80631.0,83072.0,81616.66666666667,22,3,56,0,0,0,1,0,0,1,2,1,0,1,0,3,2,0,0,1,1,72.0,76.0,76.0,76.0,74.0 +21.0,20,12,0.0,71,5614469.0,43.0,16.0,74990.0,206.859,liuzzi,29.0,Italian,force_india,Indian,2009,16,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,13.0,9.0,0.0,84645.0,84645.0,84645.0,44,29,Partially cloudy and dry,0,0,1,0,1,Race circuit,Anti-clockwise,4.309,71.0,305.879,84645.0,84645.0,84645.0,26,3,39,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +4.0,5,6,3.0,71,5576421.0,47.0,9.0,74558.0,208.058,raikkonen,7.0,Finnish,ferrari,Italian,2009,16,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,1.0,70.0,4.0,1.0,83047.0,81378.0,80168.0,45,30,Partially cloudy and dry,0,0,1,0,1,Race circuit,Anti-clockwise,4.309,71.0,305.879,80168.0,83047.0,81531.0,27,3,69,5,1,3,1,0,1,0,1,1,2,0,0,0,1,2,0,0,0,72.0,76.0,76.0,76.0,74.0 +15.0,15,4,5.0,71,5562733.0,59.0,2.0,73890.0,209.939,vettel,5.0,German,red_bull,Austrian,2009,16,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,3.0,135.5,2.0,5.0,85009.0,85009.0,85009.0,37,22,Partially cloudy and dry,0,0,1,0,1,Race circuit,Anti-clockwise,4.309,71.0,305.879,85009.0,85009.0,85009.0,20,2,42,7,2,2,2,0,0,0,1,0,0,0,0,1,0,1,0,1,1,72.0,76.0,76.0,76.0,74.0 +14.0,2,1,10.0,71,5543081.0,25.0,1.0,73733.0,210.386,webber,91.0,Australian,red_bull,Austrian,2009,16,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,1.0,135.5,2.0,5.0,84722.0,80803.0,79668.0,48,33,Partially cloudy and dry,0,0,1,0,1,Race circuit,Anti-clockwise,4.309,71.0,305.879,79668.0,84722.0,81731.0,30,3,69,6,3,2,0,1,1,0,0,2,0,1,1,0,0,0,0,2,0,72.0,76.0,76.0,76.0,74.0 +7.0,15,14,0.0,55,5713101.0,54.0,10.0,100757.0,198.441,alonso,14.0,Spanish,renault,French,2009,17,Abu Dhabi Grand Prix,39600000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,26.0,8.0,0.0,101667.0,101667.0,101667.0,43,28,Dry,0,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,101667.0,101667.0,101667.0,25,3,70,1,0,1,0,3,1,2,1,1,2,1,0,0,1,1,0,0,1,72.0,76.0,76.0,76.0,74.0 +23.0,4,4,5.0,55,5666149.0,54.0,4.0,100449.0,199.05,barrichello,96.0,Brazilian,brawn,British,2009,17,Abu Dhabi Grand Prix,39600000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,2.0,172.0,1.0,8.0,100574.0,100421.0,101786.0,52,37,Dry,0,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,100421.0,101786.0,100927.0,34,3,70,6,3,1,1,2,2,2,1,0,1,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +12.0,10,8,1.0,55,5684708.0,55.0,2.0,100326.0,199.294,buemi,92.0,Swiss,toro_rosso,Italian,2009,17,Abu Dhabi Grand Prix,39600000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,8.0,10.0,0.0,100908.0,100430.0,102713.0,36,21,Dry,0,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,100430.0,102713.0,101350.33333333331,21,0,17,0,0,0,0,0,0,2,1,0,0,0,1,1,0,1,4,1,2,58.0,72.0,78.0,73.0,72.0 +22.0,5,3,6.0,55,5661881.0,49.0,6.0,100642.0,198.668,button,22.0,British,brawn,British,2009,17,Abu Dhabi Grand Prix,39600000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,6.0,172.0,1.0,8.0,100378.0,100148.0,101892.0,44,29,Dry,0,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,100148.0,101892.0,100806.0,26,3,70,8,1,1,0,3,1,2,1,0,0,0,0,0,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +3.0,20,16,0.0,54,,54.0,16.0,101132.0,197.705,fisichella,84.0,Italian,ferrari,Italian,2009,17,Abu Dhabi Grand Prix,39600000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,70.0,4.0,1.0,102184.0,102184.0,102184.0,51,36,Dry,0,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,102184.0,102184.0,102184.0,33,3,70,1,1,0,0,0,0,0,0,2,1,3,2,1,3,1,0,0,1,72.0,76.0,76.0,76.0,74.0 +8.0,19,18,0.0,54,,47.0,19.0,102274.0,195.498,grosjean,8.0,French,renault,French,2009,17,Abu Dhabi Grand Prix,39600000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,26.0,8.0,0.0,101950.0,101950.0,101950.0,38,23,Dry,0,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,101950.0,101950.0,101950.0,23,0,7,0,0,0,0,0,0,0,0,0,0,0,0,1,0,2,1,0,1,58.0,72.0,78.0,73.0,72.0 +6.0,8,5,4.0,55,5669667.0,54.0,7.0,100672.0,198.609,heidfeld,43.0,German,bmw_sauber,German,2009,17,Abu Dhabi Grand Prix,39600000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,36.0,6.0,0.0,100558.0,100635.0,102343.0,47,32,Dry,0,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,100558.0,102343.0,101178.66666666669,29,3,70,1,1,0,0,1,1,2,0,0,2,4,1,0,0,1,0,1,0,72.0,76.0,76.0,76.0,74.0 +10.0,12,6,3.0,55,5671757.0,55.0,11.0,100779.0,198.398,kobayashi,10.0,Japanese,toyota,Japanese,2009,17,Abu Dhabi Grand Prix,39600000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,59.5,5.0,0.0,101035.0,100777.0,100777.0,38,23,Dry,0,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,100777.0,101035.0,100863.0,23,0,2,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +2.0,18,11,0.0,55,5696212.0,53.0,18.0,101316.0,197.346,kovalainen,52.0,Finnish,mclaren,British,2009,17,Abu Dhabi Grand Prix,39600000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,71.0,3.0,2.0,100808.0,100983.0,100983.0,43,28,Dry,0,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,100808.0,100983.0,100924.66666666669,26,2,52,0,0,0,1,2,2,1,1,1,0,1,1,0,1,0,2,0,0,72.0,76.0,76.0,76.0,74.0 +5.0,7,10,0.0,55,5691594.0,54.0,14.0,100924.0,198.113,kubica,88.0,Polish,bmw_sauber,German,2009,17,Abu Dhabi Grand Prix,39600000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,36.0,6.0,0.0,100520.0,100545.0,101992.0,40,25,Dry,0,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,100520.0,101992.0,101019.0,22,3,57,1,1,0,1,0,0,1,2,1,0,1,0,3,2,0,0,1,1,72.0,76.0,76.0,76.0,74.0 +21.0,16,15,0.0,55,5737864.0,54.0,17.0,101277.0,197.422,liuzzi,29.0,Italian,force_india,Indian,2009,17,Abu Dhabi Grand Prix,39600000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,13.0,9.0,0.0,101701.0,101701.0,101701.0,44,29,Dry,0,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,101701.0,101701.0,101701.0,26,3,40,0,0,0,0,0,0,0,0,0,0,0,1,0,2,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +17.0,13,13,0.0,55,5703253.0,54.0,9.0,100754.0,198.447,nakajima,48.0,Japanese,williams,British,2009,17,Abu Dhabi Grand Prix,39600000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,34.5,7.0,0.0,101096.0,101148.0,101148.0,39,24,Dry,0,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,101096.0,101148.0,101130.66666666669,22,2,36,0,0,0,0,0,0,0,0,2,1,1,3,2,0,3,0,0,3,58.0,72.0,78.0,73.0,72.0 +4.0,11,12,0.0,55,5697731.0,54.0,12.0,100843.0,198.272,raikkonen,7.0,Finnish,ferrari,Italian,2009,17,Abu Dhabi Grand Prix,39600000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,1.0,70.0,4.0,1.0,101100.0,100726.0,100726.0,45,30,Dry,0,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,100726.0,101100.0,100850.66666666669,27,3,70,5,1,3,1,0,2,0,1,1,2,0,0,0,1,2,0,0,0,72.0,76.0,76.0,76.0,74.0 +16.0,9,9,0.0,55,5689355.0,49.0,15.0,100997.0,197.97,rosberg,6.0,German,williams,British,2009,17,Abu Dhabi Grand Prix,39600000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,34.5,7.0,0.0,100842.0,100661.0,102583.0,39,24,Dry,0,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,100661.0,102583.0,101362.0,21,3,70,0,0,0,2,4,2,0,3,1,0,1,0,0,0,1,2,0,0,72.0,76.0,76.0,76.0,74.0 +20.0,17,17,0.0,54,,34.0,13.0,100904.0,198.152,sutil,99.0,German,force_india,Indian,2009,17,Abu Dhabi Grand Prix,39600000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,13.0,9.0,0.0,101836.0,101836.0,101836.0,41,26,Dry,0,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,101836.0,101836.0,101836.0,24,2,52,0,0,0,1,0,0,0,0,1,1,1,0,1,1,1,1,4,2,72.0,76.0,76.0,76.0,74.0 +9.0,6,7,2.0,55,5677780.0,49.0,8.0,100723.0,198.508,trulli,75.0,Italian,toyota,Japanese,2009,17,Abu Dhabi Grand Prix,39600000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,59.5,5.0,0.0,100517.0,100373.0,101897.0,50,35,Dry,0,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,100373.0,101897.0,100929.0,32,3,70,3,1,2,2,0,0,1,1,0,0,0,1,2,1,0,1,2,0,72.0,76.0,76.0,76.0,74.0 +15.0,2,1,10.0,55,5643414.0,54.0,1.0,100279.0,199.387,vettel,5.0,German,red_bull,Austrian,2009,17,Abu Dhabi Grand Prix,39600000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,3.0,153.5,2.0,6.0,100666.0,99984.0,101615.0,37,22,Dry,0,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,99984.0,101615.0,100755.0,20,2,43,7,2,2,3,0,0,0,1,0,0,0,0,1,0,1,0,1,1,72.0,76.0,76.0,76.0,74.0 +14.0,3,2,8.0,55,5661271.0,14.0,5.0,100571.0,198.808,webber,91.0,Australian,red_bull,Austrian,2009,17,Abu Dhabi Grand Prix,39600000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,2.0,153.5,2.0,6.0,100667.0,100272.0,101726.0,48,33,Dry,0,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,100272.0,101726.0,100888.33333333331,30,3,70,7,3,2,0,1,1,0,0,2,0,1,1,0,0,0,0,2,0,72.0,76.0,76.0,76.0,74.0 +17.0,18,13,0.0,49,6053052.0,28.0,8.0,119964.0,189.026,alguersuari,66.0,Spanish,toro_rosso,Italian,2010,1,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,0.0,8.0,0.0,117071.0,117071.0,117071.0,34,20,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,117071.0,117071.0,117071.0,19,1,9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,3,1,25.0,49,5960396.0,45.0,1.0,118287.0,191.706,alonso,14.0,Spanish,ferrari,Italian,2010,1,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,43.0,1.0,0.0,114612.0,114172.0,114608.0,43,29,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,114172.0,114612.0,114464.0,25,4,71,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +9.0,11,10,1.0,49,6022885.0,47.0,6.0,119833.0,189.233,barrichello,96.0,Brazilian,williams,British,2010,1,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,1.0,6.0,0.0,115969.0,115330.0,115330.0,52,38,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,115330.0,115969.0,115543.0,34,4,71,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +1.0,8,7,6.0,49,6005676.0,45.0,9.0,119970.0,189.017,button,22.0,British,mclaren,British,2010,1,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,21.0,2.0,0.0,115715.0,115168.0,115672.0,44,30,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,115168.0,115715.0,115518.33333333331,26,4,71,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +2.0,4,3,15.0,49,5983578.0,42.0,4.0,119560.0,189.665,hamilton,44.0,British,mclaren,British,2010,1,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,21.0,2.0,0.0,115341.0,114707.0,115217.0,39,25,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,114707.0,115341.0,115088.33333333331,22,3,53,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +10.0,13,14,0.0,48,,34.0,15.0,121401.0,186.789,hulkenberg,27.0,German,williams,British,2010,1,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,1.0,6.0,0.0,116375.0,115857.0,115857.0,37,23,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,115857.0,116375.0,116029.66666666669,23,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +19.0,21,15,0.0,47,,47.0,17.0,122701.0,184.81,kovalainen,52.0,Finnish,lotus_racing,Malaysian,2010,1,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+2 Laps,0.0,0.0,9.0,0.0,120313.0,120313.0,120313.0,43,29,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,120313.0,120313.0,120313.0,26,3,53,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +11.0,9,11,0.0,49,6029489.0,33.0,14.0,120474.0,188.226,kubica,88.0,Polish,renault,French,2010,1,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,0.0,7.0,0.0,115511.0,114963.0,115885.0,40,26,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,114963.0,115885.0,115453.0,22,4,58,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +15.0,12,9,2.0,49,6013404.0,39.0,7.0,119906.0,189.118,liuzzi,29.0,Italian,force_india,Indian,2010,1,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,2.0,5.0,0.0,115628.0,115623.0,115623.0,44,30,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,115623.0,115628.0,115624.66666666669,26,4,41,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +7.0,2,2,18.0,49,5976495.0,38.0,5.0,119732.0,189.392,massa,19.0,Brazilian,ferrari,Italian,2010,1,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,43.0,1.0,1.0,115313.0,114331.0,114242.0,43,29,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,114242.0,115313.0,114628.66666666669,25,4,64,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +3.0,7,6,8.0,49,6004559.0,45.0,11.0,120204.0,188.649,michael_schumacher,60.0,German,mercedes,German,2010,1,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,18.0,3.0,0.0,115593.0,115105.0,115524.0,55,41,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,115105.0,115593.0,115407.33333333331,37,4,19,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +4.0,5,5,10.0,49,6000609.0,45.0,13.0,120236.0,188.599,rosberg,6.0,German,mercedes,German,2010,1,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,18.0,3.0,0.0,115463.0,114682.0,115241.0,39,25,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,114682.0,115463.0,115128.66666666669,21,4,71,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +14.0,10,12,0.0,49,6043354.0,49.0,2.0,119393.0,189.93,sutil,99.0,German,force_india,Indian,2010,1,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,2.0,5.0,0.0,115213.0,114996.0,116309.0,41,27,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,114996.0,116309.0,115506.0,24,3,53,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +5.0,1,4,12.0,49,5999195.0,32.0,12.0,120218.0,188.627,vettel,5.0,German,red_bull,Austrian,2010,1,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,16.0,4.0,0.0,115029.0,113883.0,114101.0,37,23,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,113883.0,115029.0,114337.66666666669,20,3,44,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +6.0,6,8,4.0,49,6006756.0,45.0,3.0,119487.0,189.781,webber,91.0,Australian,red_bull,Austrian,2010,1,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,16.0,4.0,0.0,115298.0,114318.0,115284.0,48,34,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,114318.0,115298.0,114966.66666666669,30,4,71,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +17.0,17,11,0.0,58,5687832.0,49.0,11.0,89713.0,212.798,alguersuari,66.0,Spanish,toro_rosso,Italian,2010,2,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,0.0,8.0,0.0,86095.0,86089.0,86089.0,34,20,Overcast with light rain at start,0,0,0,1,1,Street circuit,Clockwise,5.278,58.0,306.124,86089.0,86095.0,86091.0,19,1,10,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,3,4,12.0,58,5632835.0,47.0,10.0,89707.0,212.812,alonso,14.0,Spanish,ferrari,Italian,2010,2,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,1.0,70.0,1.0,1.0,85082.0,84335.0,84111.0,43,29,Overcast with light rain at start,0,0,0,1,1,Street circuit,Clockwise,5.278,58.0,306.124,84111.0,85082.0,84509.33333333333,25,4,72,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +9.0,8,8,4.0,58,5677067.0,58.0,5.0,89210.0,213.998,barrichello,96.0,Brazilian,williams,British,2010,2,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,5.0,7.0,0.0,85702.0,85085.0,85217.0,52,38,Overcast with light rain at start,0,0,0,1,1,Street circuit,Clockwise,5.278,58.0,306.124,85085.0,85702.0,85334.66666666667,34,4,72,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +1.0,4,1,25.0,58,5616531.0,52.0,6.0,89291.0,213.804,button,22.0,British,mclaren,British,2010,2,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,54.0,2.0,1.0,84897.0,84531.0,84675.0,44,30,Overcast with light rain at start,0,0,0,1,1,Street circuit,Clockwise,5.278,58.0,306.124,84531.0,84897.0,84701.0,26,4,72,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +20.0,22,14,0.0,53,,48.0,16.0,95045.0,200.86,chandhok,73.0,Indian,hrt,Spanish,2010,2,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+5 Laps,0.0,0.0,11.0,0.0,90613.0,90613.0,90613.0,40,26,Overcast with light rain at start,0,0,0,1,1,Street circuit,Clockwise,5.278,58.0,306.124,90613.0,90613.0,90613.0,26,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +2.0,11,6,8.0,58,5646429.0,47.0,3.0,88506.0,215.7,hamilton,44.0,British,mclaren,British,2010,2,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,54.0,2.0,1.0,85046.0,85184.0,85184.0,39,25,Overcast with light rain at start,0,0,0,1,1,Street circuit,Clockwise,5.278,58.0,306.124,85046.0,85184.0,85138.0,22,3,54,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +19.0,19,13,0.0,56,,52.0,14.0,93638.0,203.878,kovalainen,52.0,Finnish,lotus_racing,Malaysian,2010,2,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+2 Laps,0.0,0.0,10.0,0.0,88797.0,88797.0,88797.0,43,29,Overcast with light rain at start,0,0,0,1,1,Street circuit,Clockwise,5.278,58.0,306.124,88797.0,88797.0,88797.0,26,3,54,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +11.0,9,2,18.0,58,5628565.0,52.0,8.0,89570.0,213.138,kubica,88.0,Polish,renault,French,2010,2,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,18.0,4.0,0.0,85588.0,85122.0,85372.0,40,26,Overcast with light rain at start,0,0,0,1,1,Street circuit,Clockwise,5.278,58.0,306.124,85122.0,85588.0,85360.66666666667,22,4,59,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +15.0,13,7,6.0,58,5676378.0,55.0,9.0,89685.0,212.865,liuzzi,29.0,Italian,force_india,Indian,2010,2,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,8.0,6.0,0.0,86170.0,85743.0,85743.0,44,30,Overcast with light rain at start,0,0,0,1,1,Street circuit,Clockwise,5.278,58.0,306.124,85743.0,86170.0,85885.33333333333,26,4,42,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +7.0,5,3,15.0,58,5631019.0,52.0,7.0,89537.0,213.216,massa,19.0,Brazilian,ferrari,Italian,2010,2,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,70.0,1.0,1.0,85548.0,85010.0,84837.0,43,29,Overcast with light rain at start,0,0,0,1,1,Street circuit,Clockwise,5.278,58.0,306.124,84837.0,85548.0,85131.66666666667,25,4,65,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +3.0,7,10,1.0,58,5685922.0,58.0,4.0,89185.0,214.058,michael_schumacher,60.0,German,mercedes,German,2010,2,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,29.0,3.0,0.0,85351.0,84871.0,84927.0,55,41,Overcast with light rain at start,0,0,0,1,1,Street circuit,Clockwise,5.278,58.0,306.124,84871.0,85351.0,85049.66666666667,37,4,20,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +22.0,14,12,0.0,58,5690615.0,54.0,12.0,90587.0,210.745,rosa,82.0,Spanish,sauber,Swiss,2010,2,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,0.0,9.0,0.0,86089.0,85747.0,85747.0,53,39,Overcast with light rain at start,0,0,0,1,1,Street circuit,Clockwise,5.278,58.0,306.124,85747.0,86089.0,85861.0,35,4,10,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +4.0,6,5,10.0,58,5633214.0,53.0,2.0,88489.0,215.742,rosberg,6.0,German,mercedes,German,2010,2,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,29.0,3.0,0.0,84788.0,84788.0,84884.0,39,25,Overcast with light rain at start,0,0,0,1,1,Street circuit,Clockwise,5.278,58.0,306.124,84788.0,84884.0,84820.0,21,4,72,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +6.0,2,9,2.0,58,5683850.0,47.0,1.0,88358.0,216.061,webber,91.0,Australian,red_bull,Austrian,2010,2,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,18.0,5.0,0.0,85286.0,84276.0,84035.0,48,34,Overcast with light rain at start,0,0,0,1,1,Street circuit,Clockwise,5.278,58.0,306.124,84035.0,85286.0,84532.33333333333,30,4,72,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +17.0,14,9,2.0,56,5699014.0,44.0,13.0,99489.0,200.572,alguersuari,66.0,Spanish,toro_rosso,Italian,2010,3,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,2.0,8.0,0.0,108655.0,109464.0,109464.0,34,20,"Mainly cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,5.543,56.0,310.408,108655.0,109464.0,109194.33333333331,19,1,11,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +9.0,7,12,0.0,55,,46.0,12.0,99428.0,200.695,barrichello,96.0,Brazilian,williams,British,2010,3,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+1 Lap,0.0,6.0,7.0,0.0,110301.0,108371.0,111511.0,52,38,"Mainly cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,5.543,56.0,310.408,108371.0,111511.0,110061.0,34,4,73,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +21.0,23,16,0.0,52,,39.0,22.0,105334.0,189.443,bruno_senna,85.0,Brazilian,hrt,Spanish,2010,3,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+4 Laps,0.0,0.0,11.0,0.0,117269.0,117269.0,117269.0,41,27,"Mainly cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,5.543,56.0,310.408,117269.0,117269.0,117269.0,27,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +16.0,13,11,0.0,56,5707350.0,54.0,3.0,97610.0,204.433,buemi,92.0,Swiss,toro_rosso,Italian,2010,3,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,2.0,8.0,0.0,108945.0,109207.0,109207.0,36,22,"Mainly cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,5.543,56.0,310.408,108945.0,109207.0,109119.66666666669,21,1,20,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +1.0,17,8,4.0,56,5666330.0,49.0,10.0,98501.0,202.584,button,22.0,British,mclaren,British,2010,3,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,1.0,66.0,2.0,1.0,112211.0,112211.0,112211.0,44,30,"Mainly cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,5.543,56.0,310.408,112211.0,112211.0,112211.0,26,4,73,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +20.0,22,15,0.0,53,,40.0,21.0,104790.0,190.426,chandhok,73.0,Indian,hrt,Spanish,2010,3,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+3 Laps,0.0,0.0,11.0,0.0,116299.0,116299.0,116299.0,40,26,"Mainly cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,5.543,56.0,310.408,116299.0,116299.0,116299.0,26,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +25.0,24,14,0.0,53,,28.0,18.0,103224.0,193.315,grassi,58.0,Brazilian,virgin,British,2010,3,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+3 Laps,0.0,0.0,12.0,0.0,119977.0,119977.0,119977.0,40,26,"Mainly cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,5.543,56.0,310.408,119977.0,119977.0,119977.0,26,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +2.0,20,6,8.0,56,5651883.0,32.0,4.0,97745.0,204.151,hamilton,44.0,British,mclaren,British,2010,3,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,66.0,2.0,1.0,113050.0,113050.0,113050.0,39,25,"Mainly cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,5.543,56.0,310.408,113050.0,113050.0,113050.0,22,3,55,1,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +10.0,5,10,1.0,56,5701811.0,51.0,11.0,99124.0,201.311,hulkenberg,27.0,German,williams,British,2010,3,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,6.0,7.0,0.0,109664.0,107346.0,111001.0,37,23,"Mainly cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,5.543,56.0,310.408,107346.0,111001.0,109337.0,23,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +19.0,15,18,0.0,46,,44.0,17.0,102701.0,194.299,kovalainen,52.0,Finnish,lotus_racing,Malaysian,2010,3,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+10 Laps,0.0,0.0,10.0,0.0,112875.0,112270.0,112270.0,43,29,"Mainly cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,5.543,56.0,310.408,112270.0,112875.0,112471.66666666669,26,3,55,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +11.0,6,4,12.0,56,5647001.0,55.0,7.0,98074.0,203.466,kubica,88.0,Polish,renault,French,2010,3,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,30.0,5.0,0.0,106283.0,106951.0,111051.0,40,26,"Mainly cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,5.543,56.0,310.408,106283.0,111051.0,108095.0,22,4,60,1,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +7.0,21,7,6.0,56,5655480.0,48.0,5.0,97784.0,204.07,massa,19.0,Brazilian,ferrari,Italian,2010,3,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,76.0,1.0,1.0,113283.0,113283.0,113283.0,43,29,"Mainly cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,5.543,56.0,310.408,113283.0,113283.0,113283.0,25,4,66,2,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +4.0,2,3,15.0,56,5641916.0,53.0,8.0,98129.0,203.352,rosberg,6.0,German,mercedes,German,2010,3,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,44.0,4.0,0.0,112560.0,107417.0,110673.0,39,25,"Mainly cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,5.543,56.0,310.408,107417.0,112560.0,110216.66666666669,21,4,73,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +14.0,4,5,10.0,56,5649471.0,55.0,9.0,98160.0,203.288,sutil,99.0,German,force_india,Indian,2010,3,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,18.0,6.0,0.0,109479.0,107085.0,110914.0,41,27,"Mainly cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,5.543,56.0,310.408,107085.0,110914.0,109159.33333333331,24,3,55,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,72.0,76.0,76.0,76.0,74.0 +18.0,18,17,0.0,51,,31.0,20.0,103753.0,192.329,trulli,75.0,Italian,lotus_racing,Malaysian,2010,3,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+5 Laps,0.0,0.0,10.0,0.0,112884.0,112884.0,112884.0,50,36,"Mainly cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,5.543,56.0,310.408,112884.0,112884.0,112884.0,32,4,73,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,74.0,75.0,75.0,72.0,71.0 +5.0,3,1,25.0,56,5628412.0,53.0,6.0,97813.0,204.009,vettel,5.0,German,red_bull,Austrian,2010,3,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,61.0,3.0,1.0,107632.0,106828.0,110789.0,37,23,"Mainly cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,5.543,56.0,310.408,106828.0,110789.0,108416.33333333331,20,3,46,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +6.0,1,2,18.0,56,5633261.0,53.0,1.0,97054.0,205.605,webber,91.0,Australian,red_bull,Austrian,2010,3,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,61.0,3.0,1.0,111886.0,108210.0,109327.0,48,34,"Mainly cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,5.543,56.0,310.408,108210.0,111886.0,109807.66666666669,30,4,73,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +17.0,12,13,0.0,56,6473579.0,14.0,7.0,103755.0,189.134,alguersuari,66.0,Spanish,toro_rosso,Italian,2010,4,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,2.0,8.0,0.0,96618.0,96047.0,96047.0,34,20,"Cloudy, rain",0,0,0,1,1,Race circuit,Clockwise,5.451,56.0,305.066,96047.0,96618.0,96237.33333333331,19,1,12,0,0,0,0,0,0,0,0,1,0,1,0,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,3,4,12.0,56,6414032.0,14.0,9.0,104134.0,188.445,alonso,14.0,Spanish,ferrari,Italian,2010,4,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,1.0,90.0,2.0,1.0,95987.0,95235.0,94913.0,43,29,"Cloudy, rain",0,0,0,1,1,Race circuit,Clockwise,5.451,56.0,305.066,94913.0,95987.0,95378.33333333331,25,4,74,1,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +9.0,11,12,0.0,56,6465828.0,17.0,14.0,105559.0,185.901,barrichello,96.0,Brazilian,williams,British,2010,4,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,6.0,7.0,0.0,96664.0,95748.0,95748.0,52,38,"Cloudy, rain",0,0,0,1,1,Race circuit,Clockwise,5.451,56.0,305.066,95748.0,96664.0,96053.33333333331,34,4,74,0,0,0,0,0,0,0,1,0,1,0,1,0,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +21.0,23,16,0.0,54,,16.0,17.0,108216.0,181.337,bruno_senna,85.0,Brazilian,hrt,Spanish,2010,4,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+2 Laps,0.0,0.0,11.0,0.0,100469.0,100469.0,100469.0,41,27,"Cloudy, rain",0,0,0,1,1,Race circuit,Clockwise,5.451,56.0,305.066,100469.0,100469.0,100469.0,27,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +1.0,5,1,25.0,56,6402163.0,14.0,4.0,102886.0,190.731,button,22.0,British,mclaren,British,2010,4,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,1.0,109.0,1.0,2.0,96122.0,95443.0,94979.0,44,30,"Cloudy, rain",0,0,0,1,1,Race circuit,Clockwise,5.451,56.0,305.066,94979.0,96122.0,95514.66666666669,26,4,74,1,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +20.0,24,17,0.0,52,,15.0,18.0,108788.0,180.383,chandhok,73.0,Indian,hrt,Spanish,2010,4,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+4 Laps,0.0,0.0,11.0,0.0,100578.0,100578.0,100578.0,40,26,"Cloudy, rain",0,0,0,1,1,Race circuit,Clockwise,5.451,56.0,305.066,100578.0,100578.0,100578.0,26,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +2.0,6,2,18.0,56,6403693.0,13.0,1.0,102061.0,192.273,hamilton,44.0,British,mclaren,British,2010,4,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,109.0,1.0,2.0,95641.0,94928.0,95034.0,39,25,"Cloudy, rain",0,0,0,1,1,Race circuit,Clockwise,5.451,56.0,305.066,94928.0,95641.0,95201.0,22,3,56,1,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +10.0,16,15,0.0,55,,13.0,12.0,104549.0,187.697,hulkenberg,27.0,German,williams,British,2010,4,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+1 Lap,0.0,6.0,7.0,0.0,97049.0,96647.0,96647.0,37,23,"Cloudy, rain",0,0,0,1,1,Race circuit,Clockwise,5.451,56.0,305.066,96647.0,97049.0,96781.0,23,0,4,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +19.0,21,14,0.0,55,,14.0,15.0,107141.0,183.156,kovalainen,52.0,Finnish,lotus_racing,Malaysian,2010,4,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+1 Lap,0.0,0.0,10.0,0.0,99520.0,99520.0,99520.0,43,29,"Cloudy, rain",0,0,0,1,1,Race circuit,Clockwise,5.451,56.0,305.066,99520.0,99520.0,99520.0,26,3,56,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,1,72.0,76.0,76.0,76.0,74.0 +11.0,8,5,10.0,56,6424376.0,14.0,6.0,103630.0,189.362,kubica,88.0,Polish,renault,French,2010,4,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,46.0,5.0,0.0,96348.0,95550.0,95364.0,40,26,"Cloudy, rain",0,0,0,1,1,Race circuit,Clockwise,5.451,56.0,305.066,95364.0,96348.0,95754.0,22,4,61,1,1,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +7.0,7,9,2.0,56,6459959.0,14.0,13.0,104594.0,187.616,massa,19.0,Brazilian,ferrari,Italian,2010,4,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,90.0,2.0,1.0,96076.0,95290.0,95180.0,43,29,"Cloudy, rain",0,0,0,1,1,Race circuit,Clockwise,5.451,56.0,305.066,95180.0,96076.0,95515.33333333331,25,4,67,2,1,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +3.0,9,10,1.0,56,6463912.0,14.0,10.0,104298.0,188.149,michael_schumacher,60.0,German,mercedes,German,2010,4,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,60.0,4.0,0.0,96484.0,95715.0,95646.0,55,41,"Cloudy, rain",0,0,0,1,1,Race circuit,Clockwise,5.451,56.0,305.066,95646.0,96484.0,95948.33333333331,37,4,22,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +12.0,14,7,6.0,56,6449763.0,14.0,8.0,103801.0,189.05,petrov,83.0,Russian,renault,French,2010,4,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,46.0,5.0,0.0,97031.0,96311.0,96311.0,40,26,"Cloudy, rain",0,0,0,1,1,Race circuit,Clockwise,5.451,56.0,305.066,96311.0,97031.0,96551.0,26,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +4.0,4,3,15.0,56,6411647.0,14.0,5.0,103245.0,190.068,rosberg,6.0,German,mercedes,German,2010,4,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,60.0,4.0,0.0,95952.0,95134.0,94923.0,39,25,"Cloudy, rain",0,0,0,1,1,Race circuit,Clockwise,5.451,56.0,305.066,94923.0,95952.0,95336.33333333331,21,4,74,1,0,1,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +14.0,10,11,0.0,56,6465037.0,14.0,11.0,104364.0,188.03,sutil,99.0,German,force_india,Indian,2010,4,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,18.0,6.0,0.0,96671.0,95665.0,95963.0,41,27,"Cloudy, rain",0,0,0,1,1,Race circuit,Clockwise,5.451,56.0,305.066,95665.0,96671.0,96099.66666666669,24,3,56,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,1,72.0,76.0,76.0,76.0,74.0 +5.0,1,6,8.0,56,6435473.0,14.0,2.0,102358.0,191.715,vettel,5.0,German,red_bull,Austrian,2010,4,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,1.0,73.0,3.0,1.0,96317.0,95280.0,94558.0,37,23,"Cloudy, rain",0,0,0,1,1,Race circuit,Clockwise,5.451,56.0,305.066,94558.0,96317.0,95385.0,20,3,47,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +6.0,2,8,4.0,56,6454335.0,14.0,3.0,102609.0,191.246,webber,91.0,Australian,red_bull,Austrian,2010,4,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,73.0,3.0,1.0,95978.0,95100.0,94808.0,48,34,"Cloudy, rain",0,0,0,1,1,Race circuit,Clockwise,5.451,56.0,305.066,94808.0,95978.0,95295.33333333331,30,4,74,1,1,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +17.0,15,10,1.0,65,,63.0,11.0,85655.0,195.645,alguersuari,66.0,Spanish,toro_rosso,Italian,2010,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,3.0,8.0,0.0,82593.0,82207.0,82207.0,34,20,"Mainly cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,4.657,66.0,307.236,82207.0,82593.0,82335.66666666667,19,1,13,0,0,0,0,0,0,0,0,1,0,1,0,2,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,4,2,18.0,66,5768166.0,57.0,3.0,84846.0,197.51,alonso,14.0,Spanish,ferrari,Italian,2010,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,1.0,116.0,2.0,1.0,81957.0,81549.0,80937.0,43,29,"Mainly cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,4.657,66.0,307.236,80937.0,81957.0,81481.0,25,4,75,1,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +9.0,17,9,2.0,65,,59.0,12.0,85728.0,195.478,barrichello,96.0,Brazilian,williams,British,2010,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,8.0,7.0,0.0,83125.0,83125.0,83125.0,52,38,"Mainly cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,4.657,66.0,307.236,83125.0,83125.0,83125.0,34,4,75,0,0,0,0,0,0,0,1,0,1,0,2,0,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +1.0,5,5,10.0,66,5807829.0,64.0,4.0,85166.0,196.768,button,22.0,British,mclaren,British,2010,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,2.0,119.0,1.0,2.0,81915.0,81168.0,80991.0,44,30,"Mainly cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,4.657,66.0,307.236,80991.0,81915.0,81358.0,26,4,75,2,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +24.0,22,18,0.0,63,,60.0,19.0,89776.0,186.664,glock,65.0,German,virgin,British,2010,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+3 Laps,0.0,0.0,12.0,0.0,85475.0,85475.0,85475.0,42,28,"Mainly cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,4.657,66.0,307.236,85475.0,85475.0,85475.0,26,2,38,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +25.0,23,19,0.0,62,,47.0,20.0,89904.0,186.398,grassi,58.0,Brazilian,virgin,British,2010,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+4 Laps,0.0,0.0,12.0,0.0,85556.0,85556.0,85556.0,40,26,"Mainly cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,4.657,66.0,307.236,85556.0,85556.0,85556.0,26,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +10.0,13,16,0.0,64,,63.0,17.0,86863.0,192.924,hulkenberg,27.0,German,williams,British,2010,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+2 Laps,0.0,8.0,7.0,0.0,82857.0,82131.0,82131.0,37,23,"Mainly cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,4.657,66.0,307.236,82131.0,82857.0,82373.0,23,0,5,0,0,0,0,0,0,0,0,0,1,0,0,0,1,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +23.0,10,12,0.0,65,,62.0,15.0,86083.0,194.672,kobayashi,10.0,Japanese,sauber,Swiss,2010,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,0.0,9.0,0.0,82577.0,81725.0,81984.0,38,24,"Mainly cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,4.657,66.0,307.236,81725.0,82577.0,82095.33333333333,23,1,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,7,8,4.0,66,5817778.0,66.0,7.0,85466.0,196.077,kubica,88.0,Polish,renault,French,2010,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,50.0,5.0,0.0,82488.0,81599.0,81353.0,40,26,"Mainly cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,4.657,66.0,307.236,81353.0,82488.0,81813.33333333333,22,4,62,1,1,0,1,1,0,0,0,0,0,1,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +7.0,9,6,8.0,66,5809868.0,64.0,9.0,85497.0,196.006,massa,19.0,Brazilian,ferrari,Italian,2010,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,116.0,2.0,1.0,82564.0,81841.0,81585.0,43,29,"Mainly cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,4.657,66.0,307.236,81585.0,82564.0,81996.66666666667,25,4,68,2,1,1,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +3.0,6,4,12.0,66,5806296.0,64.0,10.0,85529.0,195.933,michael_schumacher,60.0,German,mercedes,German,2010,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,72.0,4.0,0.0,82528.0,81557.0,81294.0,55,41,"Mainly cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,4.657,66.0,307.236,81294.0,82528.0,81793.0,37,4,23,0,0,0,0,0,1,0,0,0,2,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +12.0,19,11,0.0,65,,63.0,8.0,85470.0,196.068,petrov,83.0,Russian,renault,French,2010,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,50.0,5.0,0.0,82976.0,82139.0,82139.0,40,26,"Mainly cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,4.657,66.0,307.236,82139.0,82976.0,82418.0,26,0,5,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +4.0,8,13,0.0,65,,50.0,6.0,85455.0,196.103,rosberg,6.0,German,mercedes,German,2010,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,72.0,4.0,0.0,82419.0,81867.0,81408.0,39,25,"Mainly cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,4.657,66.0,307.236,81408.0,82419.0,81898.0,21,4,75,2,0,2,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +14.0,11,7,6.0,66,5817042.0,65.0,13.0,85845.0,195.212,sutil,99.0,German,force_india,Indian,2010,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,24.0,6.0,0.0,82628.0,81985.0,81985.0,41,27,"Mainly cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,4.657,66.0,307.236,81985.0,82628.0,82199.33333333333,24,3,57,0,0,0,0,1,0,0,0,0,0,1,1,0,0,0,0,0,1,72.0,76.0,76.0,76.0,74.0 +18.0,18,17,0.0,63,,56.0,18.0,89564.0,187.106,trulli,75.0,Italian,lotus_racing,Malaysian,2010,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+3 Laps,0.0,0.0,10.0,0.0,84674.0,84674.0,84674.0,50,36,"Mainly cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,4.657,66.0,307.236,84674.0,84674.0,84674.0,32,4,75,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,1,74.0,75.0,75.0,72.0,71.0 +5.0,2,3,15.0,66,5795439.0,56.0,5.0,85176.0,196.745,vettel,5.0,German,red_bull,Austrian,2010,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,1.0,113.0,3.0,2.0,81680.0,80772.0,80101.0,37,23,"Mainly cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,4.657,66.0,307.236,80101.0,81680.0,80851.0,20,3,48,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +6.0,1,1,25.0,66,5744101.0,62.0,2.0,84828.0,197.552,webber,91.0,Australian,red_bull,Austrian,2010,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,113.0,3.0,2.0,81412.0,80655.0,79995.0,48,34,"Mainly cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,4.657,66.0,307.236,79995.0,81412.0,80687.33333333333,30,4,75,1,1,0,0,0,0,0,2,1,0,0,0,0,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +17.0,17,11,0.0,78,6622490.0,73.0,11.0,76381.0,157.421,alguersuari,66.0,Spanish,toro_rosso,Italian,2010,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,4.0,8.0,0.0,76021.0,76176.0,76176.0,34,20,"Mainly cloudy, dry",0,0,1,0,1,Street circuit,Clockwise,3.337,78.0,260.286,76021.0,76176.0,76124.33333333333,19,1,14,0,0,0,0,0,0,0,0,1,1,1,0,2,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,24,6,8.0,78,6619696.0,73.0,6.0,75905.0,158.408,alonso,14.0,Spanish,ferrari,Italian,2010,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,1.0,136.0,2.0,1.0,79559.0,79559.0,79559.0,43,29,"Mainly cloudy, dry",0,0,1,0,1,Street circuit,Clockwise,3.337,78.0,260.286,79559.0,79559.0,79559.0,25,4,76,2,1,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +16.0,13,10,1.0,78,6621554.0,68.0,13.0,76493.0,157.19,buemi,92.0,Swiss,toro_rosso,Italian,2010,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,4.0,8.0,0.0,75961.0,75413.0,75413.0,36,22,"Mainly cloudy, dry",0,0,1,0,1,Street circuit,Clockwise,3.337,78.0,260.286,75413.0,75961.0,75595.66666666667,21,1,23,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +2.0,5,5,10.0,78,6617718.0,68.0,10.0,76219.0,157.755,hamilton,44.0,British,mclaren,British,2010,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,129.0,3.0,2.0,75676.0,74527.0,74432.0,39,25,"Mainly cloudy, dry",0,0,1,0,1,Street circuit,Clockwise,3.337,78.0,260.286,74432.0,75676.0,74878.33333333333,22,3,58,2,1,1,0,0,2,0,0,0,0,0,0,0,1,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +11.0,2,3,15.0,78,6615030.0,72.0,3.0,75353.0,159.568,kubica,88.0,Polish,renault,French,2010,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,65.0,5.0,0.0,75045.0,74549.0,74120.0,40,26,"Mainly cloudy, dry",0,0,1,0,1,Street circuit,Clockwise,3.337,78.0,260.286,74120.0,75045.0,74571.33333333333,22,4,63,1,1,0,1,1,0,0,1,0,0,1,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +15.0,10,9,2.0,78,6620660.0,72.0,9.0,76142.0,157.915,liuzzi,29.0,Italian,force_india,Indian,2010,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,30.0,6.0,0.0,75397.0,75061.0,75170.0,44,30,"Mainly cloudy, dry",0,0,1,0,1,Street circuit,Clockwise,3.337,78.0,260.286,75061.0,75397.0,75209.33333333333,26,4,46,0,0,0,0,0,0,1,0,1,0,0,0,0,0,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +7.0,4,4,12.0,78,6616021.0,68.0,4.0,75503.0,159.251,massa,19.0,Brazilian,ferrari,Italian,2010,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,136.0,2.0,1.0,74757.0,74405.0,74283.0,43,29,"Mainly cloudy, dry",0,0,1,0,1,Street circuit,Clockwise,3.337,78.0,260.286,74283.0,74757.0,74481.66666666667,25,4,69,2,1,1,0,0,1,1,0,1,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +3.0,7,12,0.0,78,6619067.0,71.0,5.0,75580.0,159.089,michael_schumacher,60.0,German,mercedes,German,2010,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,78.0,4.0,0.0,75649.0,74691.0,74590.0,55,41,"Mainly cloudy, dry",0,0,1,0,1,Street circuit,Clockwise,3.337,78.0,260.286,74590.0,75649.0,74976.66666666667,37,4,24,0,0,0,1,0,1,0,0,0,2,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +4.0,6,7,6.0,78,6620006.0,65.0,7.0,75959.0,158.295,rosberg,6.0,German,mercedes,German,2010,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,78.0,4.0,0.0,75188.0,74375.0,74544.0,39,25,"Mainly cloudy, dry",0,0,1,0,1,Street circuit,Clockwise,3.337,78.0,260.286,74375.0,75188.0,74702.33333333333,21,4,76,2,0,2,0,2,0,0,0,0,0,0,0,1,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +14.0,12,8,4.0,78,6620325.0,72.0,8.0,75963.0,158.287,sutil,99.0,German,force_india,Indian,2010,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,30.0,6.0,0.0,75445.0,75318.0,75318.0,41,27,"Mainly cloudy, dry",0,0,1,0,1,Street circuit,Clockwise,3.337,78.0,260.286,75318.0,75445.0,75360.33333333333,24,3,58,0,0,0,0,1,0,1,0,0,0,1,1,0,0,0,0,0,1,72.0,76.0,76.0,76.0,74.0 +5.0,3,2,18.0,78,6613803.0,71.0,1.0,75192.0,159.91,vettel,5.0,German,red_bull,Austrian,2010,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,1.0,156.0,1.0,3.0,75110.0,74568.0,74227.0,37,23,"Mainly cloudy, dry",0,0,1,0,1,Street circuit,Clockwise,3.337,78.0,260.286,74227.0,75110.0,74635.0,20,3,49,2,0,1,1,0,1,0,0,0,0,0,0,0,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +6.0,1,1,25.0,78,6613355.0,63.0,2.0,75318.0,159.643,webber,91.0,Australian,red_bull,Austrian,2010,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,1.0,156.0,1.0,3.0,75035.0,74462.0,73826.0,48,34,"Mainly cloudy, dry",0,0,1,0,1,Street circuit,Clockwise,3.337,78.0,260.286,73826.0,75035.0,74441.0,30,4,76,2,1,0,0,0,0,0,2,1,0,0,0,0,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +17.0,16,12,0.0,58,5395420.0,50.0,3.0,89535.0,214.628,alguersuari,66.0,Spanish,toro_rosso,Italian,2010,7,Turkish Grand Prix,39600000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,0.0,4.0,8.0,0.0,88460.0,88540.0,88540.0,34,20,Air: 28 to 29 °C (82 to 84 °F) Track: 39 to 49 °C (102 to 120 °F),0,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,88460.0,88540.0,88513.33333333333,19,1,15,0,0,0,0,0,0,0,0,1,1,2,0,2,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,12,8,4.0,58,5374164.0,56.0,11.0,90011.0,213.493,alonso,14.0,Spanish,ferrari,Italian,2010,7,Turkish Grand Prix,39600000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,1.0,146.0,3.0,1.0,87857.0,87612.0,87612.0,43,29,Air: 28 to 29 °C (82 to 84 °F) Track: 39 to 49 °C (102 to 120 °F),0,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,87612.0,87857.0,87693.66666666667,25,4,77,2,1,0,2,0,1,0,0,0,0,0,0,1,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +9.0,15,14,0.0,57,,53.0,17.0,90933.0,211.329,barrichello,96.0,Brazilian,williams,British,2010,7,Turkish Grand Prix,39600000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,+1 Lap,0.0,8.0,7.0,0.0,88336.0,88392.0,88392.0,52,38,Air: 28 to 29 °C (82 to 84 °F) Track: 39 to 49 °C (102 to 120 °F),0,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,88336.0,88392.0,88373.33333333333,34,4,77,0,0,0,0,0,0,0,1,1,1,0,2,0,0,0,0,0,1,74.0,75.0,75.0,72.0,71.0 +16.0,14,16,0.0,57,,57.0,5.0,89588.0,214.501,buemi,92.0,Swiss,toro_rosso,Italian,2010,7,Turkish Grand Prix,39600000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,+1 Lap,0.0,4.0,8.0,0.0,88534.0,88273.0,88273.0,36,22,Air: 28 to 29 °C (82 to 84 °F) Track: 39 to 49 °C (102 to 120 °F),0,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,88273.0,88534.0,88360.0,21,1,24,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +1.0,4,2,18.0,58,5330265.0,42.0,7.0,89895.0,213.769,button,22.0,British,mclaren,British,2010,7,Turkish Grand Prix,39600000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,2.0,172.0,1.0,3.0,87555.0,87277.0,86781.0,44,30,Air: 28 to 29 °C (82 to 84 °F) Track: 39 to 49 °C (102 to 120 °F),0,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,86781.0,87555.0,87204.33333333333,26,4,77,2,0,0,0,1,0,1,1,0,0,0,0,0,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +24.0,21,18,0.0,55,,48.0,19.0,92265.0,208.278,glock,65.0,German,virgin,British,2010,7,Turkish Grand Prix,39600000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,+3 Laps,0.0,0.0,12.0,0.0,90744.0,90744.0,90744.0,42,28,Air: 28 to 29 °C (82 to 84 °F) Track: 39 to 49 °C (102 to 120 °F),0,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,90744.0,90744.0,90744.0,26,2,40,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,72.0,76.0,76.0,76.0,74.0 +25.0,23,19,0.0,55,,55.0,20.0,93257.0,206.062,grassi,58.0,Brazilian,virgin,British,2010,7,Turkish Grand Prix,39600000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,+3 Laps,0.0,0.0,12.0,0.0,91989.0,91989.0,91989.0,40,26,Air: 28 to 29 °C (82 to 84 °F) Track: 39 to 49 °C (102 to 120 °F),0,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,91989.0,91989.0,91989.0,26,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +2.0,2,1,25.0,58,5327620.0,54.0,12.0,90075.0,213.342,hamilton,44.0,British,mclaren,British,2010,7,Turkish Grand Prix,39600000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,0.0,172.0,1.0,3.0,87667.0,87013.0,86433.0,39,25,Air: 28 to 29 °C (82 to 84 °F) Track: 39 to 49 °C (102 to 120 °F),0,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,86433.0,87667.0,87037.66666666667,22,3,59,2,1,1,0,1,2,0,0,0,0,0,0,0,1,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +10.0,17,17,0.0,57,,51.0,15.0,90620.0,212.059,hulkenberg,27.0,German,williams,British,2010,7,Turkish Grand Prix,39600000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,+1 Lap,0.0,8.0,7.0,0.0,88227.0,88841.0,88841.0,37,23,Air: 28 to 29 °C (82 to 84 °F) Track: 39 to 49 °C (102 to 120 °F),0,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,88227.0,88841.0,88636.33333333333,23,0,7,0,0,0,0,0,0,0,0,0,1,0,0,0,1,1,1,0,0,58.0,72.0,78.0,73.0,72.0 +23.0,10,10,1.0,58,5393270.0,42.0,16.0,90891.0,211.426,kobayashi,10.0,Japanese,sauber,Swiss,2010,7,Turkish Grand Prix,39600000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,0.0,1.0,9.0,0.0,88158.0,87434.0,88122.0,38,24,Air: 28 to 29 °C (82 to 84 °F) Track: 39 to 49 °C (102 to 120 °F),0,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,87434.0,88158.0,87904.66666666667,23,1,9,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,7,6,8.0,58,5360444.0,57.0,4.0,89580.0,214.521,kubica,88.0,Polish,renault,French,2010,7,Turkish Grand Prix,39600000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,0.0,73.0,5.0,0.0,87766.0,87426.0,87039.0,40,26,Air: 28 to 29 °C (82 to 84 °F) Track: 39 to 49 °C (102 to 120 °F),0,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,87039.0,87766.0,87410.33333333333,22,4,64,2,1,1,1,1,0,0,1,0,0,1,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +15.0,18,13,0.0,57,,53.0,18.0,91421.0,210.201,liuzzi,29.0,Italian,force_india,Indian,2010,7,Turkish Grand Prix,39600000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,+1 Lap,0.0,32.0,6.0,0.0,88958.0,88958.0,88958.0,44,30,Air: 28 to 29 °C (82 to 84 °F) Track: 39 to 49 °C (102 to 120 °F),0,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,88958.0,88958.0,88958.0,26,4,47,0,0,0,0,0,0,1,0,2,0,0,0,0,0,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +7.0,8,7,6.0,58,5364255.0,58.0,10.0,89996.0,213.529,massa,19.0,Brazilian,ferrari,Italian,2010,7,Turkish Grand Prix,39600000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,0.0,146.0,3.0,1.0,87993.0,87200.0,87082.0,43,29,Air: 28 to 29 °C (82 to 84 °F) Track: 39 to 49 °C (102 to 120 °F),0,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,87082.0,87993.0,87425.0,25,4,70,2,1,1,1,0,1,1,0,1,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +3.0,5,4,12.0,58,5358730.0,53.0,6.0,89810.0,213.971,michael_schumacher,60.0,German,mercedes,German,2010,7,Turkish Grand Prix,39600000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,0.0,100.0,4.0,0.0,87756.0,87438.0,86857.0,55,41,Air: 28 to 29 °C (82 to 84 °F) Track: 39 to 49 °C (102 to 120 °F),0,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,86857.0,87756.0,87350.33333333333,37,4,25,0,0,0,1,0,1,0,0,0,2,0,1,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +12.0,9,15,0.0,57,,57.0,1.0,89165.0,215.519,petrov,83.0,Russian,renault,French,2010,7,Turkish Grand Prix,39600000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,+1 Lap,0.0,73.0,5.0,0.0,87620.0,87387.0,87430.0,40,26,Air: 28 to 29 °C (82 to 84 °F) Track: 39 to 49 °C (102 to 120 °F),0,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,87387.0,87620.0,87479.0,26,0,7,0,0,0,0,0,0,1,0,0,0,1,0,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +22.0,13,11,0.0,58,5393564.0,50.0,14.0,90421.0,212.525,rosa,82.0,Spanish,sauber,Swiss,2010,7,Turkish Grand Prix,39600000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,0.0,1.0,9.0,0.0,88147.0,87879.0,87879.0,53,39,Air: 28 to 29 °C (82 to 84 °F) Track: 39 to 49 °C (102 to 120 °F),0,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,87879.0,88147.0,87968.33333333333,35,4,15,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +4.0,6,5,10.0,58,5359886.0,52.0,9.0,89977.0,213.574,rosberg,6.0,German,mercedes,German,2010,7,Turkish Grand Prix,39600000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,0.0,100.0,4.0,0.0,87649.0,87141.0,86952.0,39,25,Air: 28 to 29 °C (82 to 84 °F) Track: 39 to 49 °C (102 to 120 °F),0,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,86952.0,87649.0,87247.33333333333,21,4,77,2,0,2,0,2,0,1,0,0,0,0,0,1,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +14.0,11,9,2.0,58,5376649.0,55.0,8.0,89959.0,213.617,sutil,99.0,German,force_india,Indian,2010,7,Turkish Grand Prix,39600000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,0.0,32.0,6.0,0.0,87951.0,87525.0,87525.0,41,27,Air: 28 to 29 °C (82 to 84 °F) Track: 39 to 49 °C (102 to 120 °F),0,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,87525.0,87951.0,87667.0,24,3,59,0,0,0,0,1,0,1,1,0,0,1,1,0,0,0,0,0,1,72.0,76.0,76.0,76.0,74.0 +6.0,1,3,15.0,58,5351905.0,54.0,2.0,89195.0,215.447,webber,91.0,Australian,red_bull,Austrian,2010,7,Turkish Grand Prix,39600000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,2.0,171.0,2.0,3.0,87500.0,86818.0,86295.0,48,34,Air: 28 to 29 °C (82 to 84 °F) Track: 39 to 49 °C (102 to 120 °F),0,0,0,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,86295.0,87500.0,86871.0,30,4,77,3,1,0,0,0,0,0,2,1,0,0,0,0,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +17.0,16,12,0.0,69,,69.0,16.0,79842.0,196.633,alguersuari,66.0,Spanish,toro_rosso,Italian,2010,8,Canadian Grand Prix,57600000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,8.0,7.0,0.0,77027.0,77029.0,77029.0,34,20,Warm with temperatures approaching 26 °C (79 °F); wind speeds up to 4.9 kilometres per hour (3.0 mph)[1],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,77027.0,77029.0,77028.33333333333,19,1,16,0,0,0,0,0,0,0,0,1,1,2,1,2,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,3,3,15.0,70,5642670.0,44.0,6.0,78207.0,200.744,alonso,14.0,Spanish,ferrari,Italian,2010,8,Canadian Grand Prix,57600000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,1.0,161.0,3.0,1.0,76171.0,75597.0,75435.0,43,29,Warm with temperatures approaching 26 °C (79 °F); wind speeds up to 4.9 kilometres per hour (3.0 mph)[1],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,75435.0,76171.0,75734.33333333333,25,4,78,2,1,0,2,0,1,0,1,0,0,0,0,1,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +9.0,11,14,0.0,69,,65.0,10.0,79175.0,198.289,barrichello,96.0,Brazilian,williams,British,2010,8,Canadian Grand Prix,57600000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,8.0,8.0,0.0,76880.0,76434.0,76434.0,52,38,Warm with temperatures approaching 26 °C (79 °F); wind speeds up to 4.9 kilometres per hour (3.0 mph)[1],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,76434.0,76880.0,76582.66666666667,34,4,78,0,0,0,0,0,0,0,1,1,1,0,2,0,1,0,0,0,1,74.0,75.0,75.0,72.0,71.0 +16.0,15,8,4.0,69,,39.0,15.0,79784.0,196.776,buemi,92.0,Swiss,toro_rosso,Italian,2010,8,Canadian Grand Prix,57600000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,8.0,7.0,0.0,77356.0,76928.0,76928.0,36,22,Warm with temperatures approaching 26 °C (79 °F); wind speeds up to 4.9 kilometres per hour (3.0 mph)[1],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,76928.0,77356.0,77070.66666666667,21,1,25,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,2,0,0,58.0,72.0,78.0,73.0,72.0 +1.0,4,2,18.0,70,5635710.0,66.0,4.0,78144.0,200.906,button,22.0,British,mclaren,British,2010,8,Canadian Grand Prix,57600000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,2.0,215.0,1.0,4.0,76371.0,75742.0,75520.0,44,30,Warm with temperatures approaching 26 °C (79 °F); wind speeds up to 4.9 kilometres per hour (3.0 mph)[1],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,75520.0,76371.0,75877.66666666667,26,4,78,3,1,0,0,1,0,1,1,0,0,0,0,0,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +20.0,24,18,0.0,66,,47.0,21.0,81884.0,191.729,chandhok,73.0,Indian,hrt,Spanish,2010,8,Canadian Grand Prix,57600000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+4 Laps,0.0,0.0,11.0,0.0,87757.0,87757.0,87757.0,40,26,Warm with temperatures approaching 26 °C (79 °F); wind speeds up to 4.9 kilometres per hour (3.0 mph)[1],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,87757.0,87757.0,87757.0,26,0,8,0,0,0,0,0,0,0,0,0,0,0,0,0,2,1,0,1,0,58.0,72.0,78.0,73.0,72.0 +25.0,23,19,0.0,65,,49.0,22.0,81937.0,191.605,grassi,58.0,Brazilian,virgin,British,2010,8,Canadian Grand Prix,57600000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+5 Laps,0.0,0.0,12.0,0.0,79675.0,79675.0,79675.0,40,26,Warm with temperatures approaching 26 °C (79 °F); wind speeds up to 4.9 kilometres per hour (3.0 mph)[1],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,79675.0,79675.0,79675.0,26,0,8,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +2.0,1,1,25.0,70,5633456.0,62.0,2.0,77806.0,201.778,hamilton,44.0,British,mclaren,British,2010,8,Canadian Grand Prix,57600000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,1.0,215.0,1.0,4.0,75889.0,75528.0,75105.0,39,25,Warm with temperatures approaching 26 °C (79 °F); wind speeds up to 4.9 kilometres per hour (3.0 mph)[1],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,75105.0,75889.0,75507.33333333333,22,3,60,3,1,1,0,1,2,0,0,0,0,0,0,0,1,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +10.0,12,13,0.0,69,,64.0,9.0,78912.0,198.95,hulkenberg,27.0,German,williams,British,2010,8,Canadian Grand Prix,57600000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,8.0,8.0,0.0,76770.0,76438.0,76438.0,37,23,Warm with temperatures approaching 26 °C (79 °F); wind speeds up to 4.9 kilometres per hour (3.0 mph)[1],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,76438.0,76770.0,76548.66666666667,23,0,8,0,0,0,0,0,0,0,0,0,1,0,0,0,1,1,1,1,0,58.0,72.0,78.0,73.0,72.0 +19.0,19,16,0.0,68,,65.0,18.0,80654.0,194.653,kovalainen,52.0,Finnish,lotus_racing,Malaysian,2010,8,Canadian Grand Prix,57600000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+2 Laps,0.0,0.0,10.0,0.0,78237.0,78237.0,78237.0,43,29,Warm with temperatures approaching 26 °C (79 °F); wind speeds up to 4.9 kilometres per hour (3.0 mph)[1],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,78237.0,78237.0,78237.0,26,3,60,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,0,1,72.0,76.0,76.0,76.0,74.0 +11.0,8,7,6.0,70,5690756.0,67.0,1.0,76972.0,203.965,kubica,88.0,Polish,renault,French,2010,8,Canadian Grand Prix,57600000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,79.0,5.0,0.0,76370.0,75682.0,75715.0,40,26,Warm with temperatures approaching 26 °C (79 °F); wind speeds up to 4.9 kilometres per hour (3.0 mph)[1],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,75682.0,76370.0,75922.33333333333,22,4,65,2,1,1,1,1,1,0,1,0,0,1,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +15.0,5,9,2.0,69,,66.0,11.0,79349.0,197.855,liuzzi,29.0,Italian,force_india,Indian,2010,8,Canadian Grand Prix,57600000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,35.0,6.0,0.0,77086.0,76171.0,75648.0,44,30,Warm with temperatures approaching 26 °C (79 °F); wind speeds up to 4.9 kilometres per hour (3.0 mph)[1],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,75648.0,77086.0,76301.66666666667,26,4,48,0,0,0,0,0,0,1,0,2,0,0,0,1,0,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +7.0,6,15,0.0,69,,45.0,7.0,78325.0,200.441,massa,19.0,Brazilian,ferrari,Italian,2010,8,Canadian Grand Prix,57600000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,161.0,3.0,1.0,76673.0,76314.0,75688.0,43,29,Warm with temperatures approaching 26 °C (79 °F); wind speeds up to 4.9 kilometres per hour (3.0 mph)[1],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,75688.0,76673.0,76225.0,25,4,71,2,1,1,1,0,1,2,0,1,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +3.0,13,11,0.0,69,,44.0,14.0,79577.0,197.288,michael_schumacher,60.0,German,mercedes,German,2010,8,Canadian Grand Prix,57600000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,108.0,4.0,0.0,76598.0,76492.0,76492.0,55,41,Warm with temperatures approaching 26 °C (79 °F); wind speeds up to 4.9 kilometres per hour (3.0 mph)[1],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,76492.0,76598.0,76527.33333333333,37,4,26,0,0,0,2,0,1,0,0,0,2,0,1,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +12.0,14,17,0.0,68,,58.0,12.0,79453.0,197.596,petrov,83.0,Russian,renault,French,2010,8,Canadian Grand Prix,57600000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+2 Laps,0.0,79.0,5.0,0.0,76569.0,76844.0,76844.0,40,26,Warm with temperatures approaching 26 °C (79 °F); wind speeds up to 4.9 kilometres per hour (3.0 mph)[1],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,76569.0,76844.0,76752.33333333333,26,0,8,0,0,0,0,0,0,1,0,0,0,1,0,1,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +4.0,10,6,8.0,70,5689540.0,68.0,3.0,77832.0,201.711,rosberg,6.0,German,mercedes,German,2010,8,Canadian Grand Prix,57600000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,108.0,4.0,0.0,76350.0,76001.0,76071.0,39,25,Warm with temperatures approaching 26 °C (79 °F); wind speeds up to 4.9 kilometres per hour (3.0 mph)[1],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,76001.0,76350.0,76140.66666666667,21,4,78,2,0,2,0,3,0,1,0,0,0,0,0,1,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +14.0,9,10,1.0,69,,68.0,13.0,79530.0,197.404,sutil,99.0,German,force_india,Indian,2010,8,Canadian Grand Prix,57600000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,35.0,6.0,0.0,76495.0,76295.0,75881.0,41,27,Warm with temperatures approaching 26 °C (79 °F); wind speeds up to 4.9 kilometres per hour (3.0 mph)[1],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,75881.0,76495.0,76223.66666666667,24,3,60,0,0,0,0,1,0,1,1,1,0,1,1,0,0,0,0,0,1,72.0,76.0,76.0,76.0,74.0 +5.0,2,4,12.0,70,5671273.0,62.0,8.0,78417.0,200.206,vettel,5.0,German,red_bull,Austrian,2010,8,Canadian Grand Prix,57600000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,1.0,193.0,2.0,3.0,76129.0,75556.0,75420.0,37,23,Warm with temperatures approaching 26 °C (79 °F); wind speeds up to 4.9 kilometres per hour (3.0 mph)[1],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,75420.0,76129.0,75701.66666666667,20,3,51,3,1,1,1,0,1,0,0,0,0,0,0,0,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +6.0,7,5,10.0,70,5672747.0,62.0,5.0,78148.0,200.895,webber,91.0,Australian,red_bull,Austrian,2010,8,Canadian Grand Prix,57600000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,2.0,193.0,2.0,3.0,76423.0,75692.0,75373.0,48,34,Warm with temperatures approaching 26 °C (79 °F); wind speeds up to 4.9 kilometres per hour (3.0 mph)[1],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,75373.0,76423.0,75829.33333333333,30,4,78,4,1,1,0,0,0,0,2,1,0,0,0,0,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +17.0,17,13,0.0,57,6077810.0,55.0,15.0,100327.0,194.448,alguersuari,66.0,Spanish,toro_rosso,Italian,2010,9,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,Finished,0.0,10.0,8.0,0.0,99128.0,99458.0,99458.0,34,20,Dry[3],0,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,99128.0,99458.0,99348.0,19,1,17,0,0,0,0,0,0,0,0,1,1,2,2,2,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,4,8,4.0,57,6062380.0,50.0,10.0,99889.0,195.3,alonso,14.0,Spanish,ferrari,Italian,2010,9,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,Finished,1.0,165.0,3.0,1.0,98472.0,98179.0,98075.0,43,29,Dry[3],0,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,98075.0,98472.0,98242.0,25,4,79,3,1,1,2,0,1,0,1,0,0,0,0,1,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +9.0,9,4,12.0,57,6055198.0,56.0,5.0,99489.0,196.085,barrichello,96.0,Brazilian,williams,British,2010,9,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,Finished,0.0,20.0,7.0,0.0,98449.0,98326.0,98428.0,52,38,Dry[3],0,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,98326.0,98449.0,98401.0,34,4,79,0,0,0,0,0,0,0,1,1,1,0,2,0,2,0,0,0,1,74.0,75.0,75.0,72.0,71.0 +21.0,24,20,0.0,55,,55.0,21.0,102927.0,189.536,bruno_senna,85.0,Brazilian,hrt,Spanish,2010,9,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,+2 Laps,0.0,0.0,11.0,0.0,102851.0,102851.0,102851.0,41,27,Dry[3],0,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,102851.0,102851.0,102851.0,27,0,9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,1,0,58.0,72.0,78.0,73.0,72.0 +16.0,11,9,2.0,57,6065870.0,53.0,11.0,100084.0,194.92,buemi,92.0,Swiss,toro_rosso,Italian,2010,9,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,Finished,0.0,10.0,8.0,0.0,99096.0,98586.0,98586.0,36,22,Dry[3],0,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,98586.0,99096.0,98756.0,21,1,26,0,0,0,0,0,0,0,1,0,1,1,0,0,0,0,2,0,0,58.0,72.0,78.0,73.0,72.0 +1.0,7,3,15.0,57,6042229.0,54.0,1.0,98766.0,197.521,button,22.0,British,mclaren,British,2010,9,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,Finished,2.0,248.0,1.0,4.0,98360.0,98399.0,98210.0,44,30,Dry[3],0,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,98210.0,98399.0,98323.0,26,4,79,4,2,0,0,1,0,1,1,0,0,0,0,0,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +20.0,23,18,0.0,55,,51.0,22.0,103820.0,187.905,chandhok,73.0,Indian,hrt,Spanish,2010,9,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,+2 Laps,0.0,0.0,11.0,0.0,102600.0,102600.0,102600.0,40,26,Dry[3],0,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,102600.0,102600.0,102600.0,26,0,9,0,0,0,0,0,0,0,0,0,0,0,0,0,2,1,0,1,1,58.0,72.0,78.0,73.0,72.0 +24.0,22,19,0.0,55,,48.0,19.0,102319.0,190.662,glock,65.0,German,virgin,British,2010,9,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,+2 Laps,0.0,0.0,12.0,0.0,102140.0,102140.0,102140.0,42,28,Dry[3],0,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,102140.0,102140.0,102140.0,26,2,42,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,72.0,76.0,76.0,76.0,74.0 +25.0,21,17,0.0,56,,45.0,20.0,102414.0,190.485,grassi,58.0,Brazilian,virgin,British,2010,9,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,+1 Lap,0.0,0.0,12.0,0.0,102086.0,102086.0,102086.0,40,26,Dry[3],0,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,102086.0,102086.0,102086.0,26,0,9,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +2.0,3,2,18.0,57,6034613.0,56.0,4.0,99156.0,196.744,hamilton,44.0,British,mclaren,British,2010,9,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,Finished,2.0,248.0,1.0,4.0,98697.0,98158.0,97969.0,39,25,Dry[3],0,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,97969.0,98697.0,98274.66666666669,22,3,61,4,1,1,0,1,2,0,0,0,0,0,0,0,1,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +23.0,18,7,6.0,57,6060536.0,57.0,6.0,99517.0,196.03,kobayashi,10.0,Japanese,sauber,Swiss,2010,9,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,Finished,0.0,7.0,9.0,0.0,99343.0,99343.0,99343.0,38,24,Dry[3],0,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,99343.0,99343.0,99343.0,23,1,11,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,6,5,10.0,57,6056693.0,55.0,7.0,99542.0,195.981,kubica,88.0,Polish,renault,French,2010,9,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,Finished,0.0,89.0,5.0,0.0,98132.0,98062.0,98137.0,40,26,Dry[3],0,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,98062.0,98137.0,98110.33333333331,22,4,66,2,1,1,1,1,1,1,1,0,0,1,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +15.0,14,16,0.0,57,6080461.0,52.0,14.0,100305.0,194.49,liuzzi,29.0,Italian,force_india,Indian,2010,9,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,Finished,0.0,43.0,6.0,0.0,98969.0,98884.0,98884.0,44,30,Dry[3],0,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,98884.0,98969.0,98912.33333333331,26,4,49,0,0,0,0,0,0,1,0,3,0,0,0,1,0,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +7.0,5,11,0.0,57,6076192.0,52.0,13.0,100208.0,194.679,massa,19.0,Brazilian,ferrari,Italian,2010,9,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,Finished,0.0,165.0,3.0,1.0,98657.0,98046.0,98127.0,43,29,Dry[3],0,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,98046.0,98657.0,98276.66666666669,25,4,72,2,1,1,1,0,1,2,0,1,0,0,0,0,0,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +3.0,15,15,0.0,57,6078397.0,53.0,2.0,98968.0,197.118,michael_schumacher,60.0,German,mercedes,German,2010,9,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,Finished,0.0,109.0,4.0,0.0,98994.0,99234.0,99234.0,55,41,Dry[3],0,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,98994.0,99234.0,99154.0,37,4,27,0,0,0,2,0,1,0,0,0,2,1,1,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +12.0,10,14,0.0,57,6077858.0,57.0,12.0,100100.0,194.889,petrov,83.0,Russian,renault,French,2010,9,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,Finished,0.0,89.0,5.0,0.0,99004.0,98552.0,98523.0,40,26,Dry[3],0,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,98523.0,99004.0,98693.0,26,0,9,0,0,0,0,0,0,1,0,0,0,1,0,1,0,1,0,1,0,58.0,72.0,78.0,73.0,72.0 +22.0,16,12,0.0,57,6076985.0,56.0,16.0,100430.0,194.248,rosa,82.0,Spanish,sauber,Swiss,2010,9,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,Finished,0.0,7.0,9.0,0.0,99003.0,99264.0,99264.0,53,39,Dry[3],0,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,99003.0,99264.0,99177.0,35,4,17,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +4.0,12,10,1.0,57,6073953.0,57.0,9.0,99878.0,195.322,rosberg,6.0,German,mercedes,German,2010,9,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,Finished,0.0,109.0,4.0,0.0,98752.0,98627.0,98627.0,39,25,Dry[3],0,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,98627.0,98752.0,98668.66666666669,21,4,79,2,0,2,0,3,1,1,0,0,0,0,0,1,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +14.0,13,6,8.0,57,6059739.0,52.0,8.0,99803.0,195.469,sutil,99.0,German,force_india,Indian,2010,9,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,Finished,0.0,43.0,6.0,0.0,99021.0,98851.0,98851.0,41,27,Dry[3],0,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,98851.0,99021.0,98907.66666666669,24,3,61,0,0,0,0,1,0,1,1,1,1,1,1,0,0,0,0,0,1,72.0,76.0,76.0,76.0,74.0 +5.0,1,1,25.0,57,6029571.0,52.0,3.0,99141.0,196.774,vettel,5.0,German,red_bull,Austrian,2010,9,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,Finished,1.0,218.0,2.0,4.0,98324.0,98015.0,97587.0,37,23,Dry[3],0,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,97587.0,98324.0,97975.33333333331,20,3,52,3,1,1,2,0,1,0,0,0,0,0,0,0,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +8.0,3,14,0.0,52,5140585.0,52.0,1.0,90874.0,233.373,alonso,14.0,Spanish,ferrari,Italian,2010,10,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,1.0,165.0,3.0,1.0,90997.0,90700.0,90426.0,43,29,Mainly sunny,1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,90426.0,90997.0,90707.66666666669,25,4,80,3,1,1,2,0,1,0,2,0,0,0,0,1,0,0,0,0,0,77.0,76.0,76.0,70.0,71.0 +9.0,8,5,10.0,52,5109656.0,50.0,11.0,93615.0,226.54,barrichello,96.0,Brazilian,williams,British,2010,10,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,31.0,7.0,0.0,91424.0,91126.0,91175.0,52,38,Mainly sunny,1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,91126.0,91424.0,91241.66666666669,34,4,80,0,0,0,1,0,0,0,1,1,1,0,2,0,2,0,0,0,1,77.0,76.0,76.0,70.0,71.0 +16.0,16,12,0.0,52,5125827.0,52.0,8.0,92980.0,228.087,buemi,92.0,Swiss,toro_rosso,Italian,2010,10,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,10.0,9.0,0.0,91901.0,92012.0,92012.0,36,22,Mainly sunny,1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,91901.0,92012.0,91975.0,21,1,27,0,0,0,0,0,0,0,1,1,1,1,0,0,0,0,2,0,0,58.0,72.0,78.0,73.0,72.0 +1.0,14,4,12.0,52,5100186.0,52.0,9.0,93003.0,228.031,button,22.0,British,mclaren,British,2010,10,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,2.0,278.0,1.0,4.0,91435.0,91699.0,91699.0,44,30,Mainly sunny,1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,91435.0,91699.0,91611.0,26,4,80,5,2,1,0,1,0,1,1,0,0,0,0,0,0,0,0,0,0,77.0,76.0,76.0,70.0,71.0 +20.0,23,19,0.0,50,,40.0,23.0,98798.0,214.656,chandhok,73.0,Indian,hrt,Spanish,2010,10,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+2 Laps,0.0,0.0,11.0,0.0,96576.0,96576.0,96576.0,40,26,Mainly sunny,1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,96576.0,96576.0,96576.0,26,0,10,0,0,0,0,0,0,0,0,0,0,0,0,0,2,1,0,1,2,58.0,72.0,78.0,73.0,72.0 +24.0,19,18,0.0,50,,49.0,19.0,96415.0,219.961,glock,65.0,German,virgin,British,2010,10,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+2 Laps,0.0,0.0,12.0,0.0,94775.0,94775.0,94775.0,42,28,Mainly sunny,1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,94775.0,94775.0,94775.0,26,2,43,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,72.0,76.0,76.0,76.0,74.0 +2.0,4,2,18.0,52,5079560.0,43.0,6.0,92758.0,228.633,hamilton,44.0,British,mclaren,British,2010,10,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,2.0,278.0,1.0,4.0,91297.0,91118.0,90556.0,39,25,Mainly sunny,1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,90556.0,91297.0,90990.33333333331,22,3,62,5,2,1,0,1,2,0,0,0,0,0,0,0,1,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +10.0,13,10,1.0,52,5120212.0,48.0,13.0,93989.0,225.639,hulkenberg,27.0,German,williams,British,2010,10,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,31.0,7.0,0.0,92144.0,91635.0,91635.0,37,23,Mainly sunny,1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,91635.0,92144.0,91804.66666666669,23,0,10,0,0,0,0,0,0,0,0,0,1,0,0,1,1,1,1,1,0,58.0,72.0,78.0,73.0,72.0 +23.0,12,6,8.0,52,5110371.0,52.0,10.0,93558.0,226.678,kobayashi,10.0,Japanese,sauber,Swiss,2010,10,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,15.0,8.0,0.0,91851.0,91421.0,91421.0,38,24,Mainly sunny,1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,91421.0,91851.0,91564.33333333331,23,1,12,0,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +19.0,18,17,0.0,51,,48.0,18.0,96251.0,220.336,kovalainen,52.0,Finnish,lotus_racing,Malaysian,2010,10,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,0.0,10.0,0.0,94405.0,94405.0,94405.0,43,29,Mainly sunny,1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,94405.0,94405.0,94405.0,26,3,62,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,2,0,1,72.0,76.0,76.0,76.0,74.0 +15.0,20,11,0.0,52,5120659.0,51.0,14.0,94018.0,225.569,liuzzi,29.0,Italian,force_india,Indian,2010,10,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,47.0,6.0,0.0,92226.0,91708.0,91708.0,44,30,Mainly sunny,1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,91708.0,92226.0,91880.66666666669,26,4,50,0,0,0,0,0,0,1,0,3,0,0,0,1,0,1,1,0,0,72.0,76.0,76.0,76.0,74.0 +7.0,7,15,0.0,52,5145689.0,52.0,2.0,91646.0,231.407,massa,19.0,Brazilian,ferrari,Italian,2010,10,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,165.0,3.0,1.0,91313.0,91010.0,91172.0,43,29,Mainly sunny,1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,91010.0,91313.0,91165.0,25,4,73,2,1,1,1,0,1,2,0,1,0,1,0,0,0,1,0,0,0,74.0,75.0,75.0,72.0,71.0 +3.0,10,9,2.0,52,5119799.0,47.0,15.0,94171.0,225.203,michael_schumacher,60.0,German,mercedes,German,2010,10,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,126.0,4.0,0.0,92058.0,91022.0,91430.0,55,41,Mainly sunny,1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,91022.0,92058.0,91503.33333333331,37,4,28,0,0,0,2,0,1,0,0,0,2,1,1,0,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +12.0,15,13,0.0,52,5137574.0,52.0,5.0,92484.0,229.311,petrov,83.0,Russian,renault,French,2010,10,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,89.0,5.0,0.0,91638.0,91796.0,91796.0,40,26,Mainly sunny,1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,91638.0,91796.0,91743.33333333331,26,0,10,0,0,0,0,0,0,1,0,0,0,1,0,1,1,1,0,1,0,58.0,72.0,78.0,73.0,72.0 +4.0,5,3,15.0,52,5099507.0,50.0,7.0,92952.0,228.156,rosberg,6.0,German,mercedes,German,2010,10,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,126.0,4.0,0.0,91626.0,91085.0,90625.0,39,25,Mainly sunny,1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,90625.0,91626.0,91112.0,21,4,80,2,0,2,0,3,1,1,0,0,1,0,0,1,0,0,0,0,0,77.0,76.0,76.0,70.0,71.0 +14.0,11,8,4.0,52,5119132.0,42.0,16.0,94337.0,224.806,sutil,99.0,German,force_india,Indian,2010,10,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,47.0,6.0,0.0,91109.0,91399.0,91399.0,41,27,Mainly sunny,1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,91109.0,91399.0,91302.33333333331,24,3,62,0,0,0,0,1,1,1,1,1,1,1,1,0,0,0,0,0,1,72.0,76.0,76.0,76.0,74.0 +18.0,21,16,0.0,51,,44.0,20.0,96519.0,219.724,trulli,75.0,Italian,lotus_racing,Malaysian,2010,10,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,0.0,10.0,0.0,94864.0,94864.0,94864.0,50,36,Mainly sunny,1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,94864.0,94864.0,94864.0,32,4,80,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,3,1,77.0,76.0,76.0,70.0,71.0 +5.0,1,7,6.0,52,5114934.0,52.0,3.0,91967.0,230.6,vettel,5.0,German,red_bull,Austrian,2010,10,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,2.0,249.0,2.0,5.0,90841.0,90480.0,89615.0,37,23,Mainly sunny,1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,89615.0,90841.0,90312.0,20,3,53,4,1,1,2,0,1,0,0,0,0,0,0,0,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +6.0,2,1,25.0,52,5078200.0,45.0,4.0,92364.0,229.608,webber,91.0,Australian,red_bull,Austrian,2010,10,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,2.0,249.0,2.0,5.0,90858.0,90114.0,89758.0,48,34,Mainly sunny,1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,89758.0,90858.0,90243.33333333331,30,4,80,4,1,1,0,1,0,0,2,1,0,0,0,0,0,0,0,0,0,77.0,76.0,76.0,70.0,71.0 +21.0,24,20,0.0,50,,50.0,22.0,98309.0,215.723,yamamoto,15.0,Japanese,hrt,Spanish,2010,10,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+2 Laps,0.0,0.0,11.0,0.0,96968.0,96968.0,96968.0,42,28,Mainly sunny,1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,96968.0,96968.0,96968.0,24,4,15,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +17.0,15,15,0.0,66,,66.0,12.0,76971.0,213.929,alguersuari,66.0,Spanish,toro_rosso,Italian,2010,11,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,+1 Lap,0.0,10.0,9.0,0.0,76664.0,75588.0,75588.0,34,20,"Mainly cloudy, dry[4]",0,0,1,0,1,Race circuit,Clockwise,4.574,64.0,292.736,75588.0,76664.0,75946.66666666667,19,1,19,0,0,0,0,0,0,0,0,1,1,2,2,3,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,2,1,25.0,67,5258864.0,66.0,2.0,75880.0,217.005,alonso,14.0,Spanish,ferrari,Italian,2010,11,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,1.0,208.0,3.0,1.0,74808.0,74081.0,73793.0,43,29,"Mainly cloudy, dry[4]",0,0,1,0,1,Race circuit,Clockwise,4.574,64.0,292.736,73793.0,74808.0,74227.33333333333,25,4,81,3,1,1,2,0,1,0,2,0,0,0,0,1,1,0,0,0,0,77.0,76.0,76.0,70.0,71.0 +9.0,8,12,0.0,66,,63.0,13.0,77029.0,213.768,barrichello,96.0,Brazilian,williams,British,2010,11,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,+1 Lap,0.0,31.0,7.0,0.0,76398.0,74698.0,75109.0,52,38,"Mainly cloudy, dry[4]",0,0,1,0,1,Race circuit,Clockwise,4.574,64.0,292.736,74698.0,76398.0,75401.66666666667,34,4,81,0,0,0,1,1,0,0,1,1,1,0,2,0,2,0,0,0,1,77.0,76.0,76.0,70.0,71.0 +21.0,20,19,0.0,63,,57.0,21.0,80861.0,203.638,bruno_senna,85.0,Brazilian,hrt,Spanish,2010,11,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,+4 Laps,0.0,0.0,11.0,0.0,78592.0,78592.0,78592.0,41,27,"Mainly cloudy, dry[4]",0,0,1,0,1,Race circuit,Clockwise,4.574,64.0,292.736,78592.0,78592.0,78592.0,27,0,10,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,1,0,58.0,72.0,78.0,73.0,72.0 +1.0,5,5,10.0,67,5288346.0,65.0,4.0,76451.0,215.385,button,22.0,British,mclaren,British,2010,11,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,2.0,300.0,1.0,4.0,75823.0,74716.0,74427.0,44,30,"Mainly cloudy, dry[4]",0,0,1,0,1,Race circuit,Clockwise,4.574,64.0,292.736,74427.0,75823.0,74988.66666666667,26,4,81,5,2,1,1,1,0,1,1,0,0,0,0,0,0,0,0,0,0,77.0,76.0,76.0,70.0,71.0 +24.0,23,18,0.0,64,,62.0,18.0,78211.0,210.538,glock,65.0,German,virgin,British,2010,11,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,+3 Laps,0.0,0.0,12.0,0.0,78343.0,78343.0,78343.0,42,28,"Mainly cloudy, dry[4]",0,0,1,0,1,Race circuit,Clockwise,4.574,64.0,292.736,78343.0,78343.0,78343.0,26,2,44,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,3,72.0,76.0,76.0,76.0,74.0 +2.0,6,4,12.0,67,5285760.0,65.0,5.0,76503.0,215.238,hamilton,44.0,British,mclaren,British,2010,11,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,2.0,300.0,1.0,4.0,75505.0,74488.0,74566.0,39,25,"Mainly cloudy, dry[4]",0,0,1,0,1,Race circuit,Clockwise,4.574,64.0,292.736,74488.0,75505.0,74853.0,22,3,63,6,3,1,0,1,2,0,0,0,0,0,0,0,1,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +10.0,10,13,0.0,66,,61.0,11.0,76836.0,214.305,hulkenberg,27.0,German,williams,British,2010,11,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,+1 Lap,0.0,31.0,7.0,0.0,76387.0,74943.0,75339.0,37,23,"Mainly cloudy, dry[4]",0,0,1,0,1,Race circuit,Clockwise,4.574,64.0,292.736,74943.0,76387.0,75556.33333333333,23,0,11,0,0,0,0,0,0,0,0,0,2,0,0,1,1,1,1,1,0,58.0,72.0,78.0,73.0,72.0 +23.0,12,11,0.0,66,,63.0,15.0,77100.0,213.571,kobayashi,10.0,Japanese,sauber,Swiss,2010,11,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,+1 Lap,0.0,15.0,8.0,0.0,75951.0,75084.0,75084.0,38,24,"Mainly cloudy, dry[4]",0,0,1,0,1,Race circuit,Clockwise,4.574,64.0,292.736,75084.0,75951.0,75373.0,23,1,13,0,0,0,0,0,1,1,0,0,1,0,1,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,7,7,6.0,66,,62.0,16.0,77166.0,213.389,kubica,88.0,Polish,renault,French,2010,11,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,+1 Lap,0.0,96.0,5.0,0.0,75736.0,74835.0,75079.0,40,26,"Mainly cloudy, dry[4]",0,0,1,0,1,Race circuit,Clockwise,4.574,64.0,292.736,74835.0,75736.0,75216.66666666667,22,4,68,2,1,1,1,2,1,1,1,0,0,1,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +15.0,21,16,0.0,65,,64.0,7.0,76596.0,214.977,liuzzi,29.0,Italian,force_india,Indian,2010,11,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,+2 Laps,0.0,47.0,6.0,0.0,78952.0,78952.0,78952.0,44,30,"Mainly cloudy, dry[4]",0,0,1,0,1,Race circuit,Clockwise,4.574,64.0,292.736,78952.0,78952.0,78952.0,26,4,51,0,0,0,0,0,0,1,0,3,0,1,0,1,0,1,1,0,0,72.0,76.0,76.0,76.0,74.0 +7.0,3,2,18.0,67,5263060.0,66.0,3.0,76097.0,216.386,massa,19.0,Brazilian,ferrari,Italian,2010,11,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,0.0,208.0,3.0,2.0,75216.0,74478.0,74290.0,43,29,"Mainly cloudy, dry[4]",0,0,1,0,1,Race circuit,Clockwise,4.574,64.0,292.736,74290.0,75216.0,74661.33333333333,25,4,74,2,1,1,1,0,1,2,0,1,0,1,0,0,0,2,0,0,0,74.0,75.0,75.0,72.0,71.0 +3.0,11,9,2.0,66,,66.0,14.0,77088.0,213.605,michael_schumacher,60.0,German,mercedes,German,2010,11,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,+1 Lap,0.0,132.0,4.0,0.0,76084.0,75026.0,75026.0,55,41,"Mainly cloudy, dry[4]",0,0,1,0,1,Race circuit,Clockwise,4.574,64.0,292.736,75026.0,76084.0,75378.66666666667,37,4,29,0,0,0,2,0,1,0,0,1,2,1,1,0,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +12.0,13,10,1.0,66,,62.0,17.0,77198.0,213.3,petrov,83.0,Russian,renault,French,2010,11,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,+1 Lap,0.0,96.0,5.0,0.0,76521.0,75307.0,75307.0,40,26,"Mainly cloudy, dry[4]",0,0,1,0,1,Race circuit,Clockwise,4.574,64.0,292.736,75307.0,76521.0,75711.66666666667,26,0,11,0,0,0,0,0,0,1,0,0,0,1,0,2,1,1,0,1,0,58.0,72.0,78.0,73.0,72.0 +22.0,14,14,0.0,66,,61.0,6.0,76527.0,215.171,rosa,82.0,Spanish,sauber,Swiss,2010,11,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,+1 Lap,0.0,15.0,8.0,0.0,76450.0,75550.0,75550.0,53,39,"Mainly cloudy, dry[4]",0,0,1,0,1,Race circuit,Clockwise,4.574,64.0,292.736,75550.0,76450.0,75850.0,35,4,19,0,0,0,0,0,0,0,0,0,0,1,2,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +4.0,9,8,4.0,66,,66.0,8.0,76609.0,214.94,rosberg,6.0,German,mercedes,German,2010,11,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,+1 Lap,0.0,132.0,4.0,0.0,76178.0,75018.0,75179.0,39,25,"Mainly cloudy, dry[4]",0,0,1,0,1,Race circuit,Clockwise,4.574,64.0,292.736,75018.0,76178.0,75458.33333333333,21,4,81,3,0,3,0,3,1,1,0,0,1,0,0,1,0,0,0,0,0,77.0,76.0,76.0,70.0,71.0 +14.0,19,17,0.0,65,,65.0,10.0,76687.0,214.722,sutil,99.0,German,force_india,Indian,2010,11,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,+2 Laps,0.0,47.0,6.0,0.0,76220.0,75467.0,75467.0,41,27,"Mainly cloudy, dry[4]",0,0,1,0,1,Race circuit,Clockwise,4.574,64.0,292.736,75467.0,76220.0,75718.0,24,3,63,0,0,0,0,1,1,1,2,1,1,1,1,0,0,0,0,0,1,72.0,76.0,76.0,76.0,74.0 +5.0,1,3,15.0,67,5263985.0,67.0,1.0,75824.0,217.166,vettel,5.0,German,red_bull,Austrian,2010,11,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,2.0,272.0,2.0,5.0,75152.0,74249.0,73791.0,37,23,"Mainly cloudy, dry[4]",0,0,1,0,1,Race circuit,Clockwise,4.574,64.0,292.736,73791.0,75152.0,74397.33333333333,20,3,54,4,1,1,2,0,1,1,0,0,0,0,0,0,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +6.0,4,6,8.0,67,5302470.0,57.0,9.0,76678.0,214.747,webber,91.0,Australian,red_bull,Austrian,2010,11,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,3.0,272.0,2.0,5.0,75334.0,74340.0,74347.0,48,34,"Mainly cloudy, dry[4]",0,0,1,0,1,Race circuit,Clockwise,4.574,64.0,292.736,74340.0,75334.0,74673.66666666667,30,4,81,5,1,1,0,1,0,0,2,1,0,0,0,0,0,0,0,0,0,77.0,76.0,76.0,70.0,71.0 +8.0,3,2,18.0,70,6083392.0,67.0,4.0,83195.0,189.573,alonso,14.0,Spanish,ferrari,Italian,2010,12,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,2.0,238.0,3.0,2.0,81278.0,80237.0,79987.0,43,29,Mainly sunny28 °C (82 °F)[1],1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,79987.0,81278.0,80500.66666666667,25,4,82,4,1,1,2,0,1,0,2,0,0,0,0,1,1,0,0,0,0,77.0,76.0,76.0,70.0,71.0 +9.0,12,10,1.0,69,,68.0,3.0,82811.0,190.452,barrichello,96.0,Brazilian,williams,British,2010,12,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,40.0,7.0,0.0,81478.0,81331.0,81331.0,52,38,Mainly sunny28 °C (82 °F)[1],1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,81331.0,81478.0,81380.0,34,4,82,0,0,0,1,1,0,0,1,1,1,0,3,0,2,0,0,0,1,77.0,76.0,76.0,70.0,71.0 +21.0,22,17,0.0,67,,61.0,21.0,88093.0,179.033,bruno_senna,85.0,Brazilian,hrt,Spanish,2010,12,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+3 Laps,0.0,0.0,11.0,0.0,86391.0,86391.0,86391.0,41,27,Mainly sunny28 °C (82 °F)[1],1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,86391.0,86391.0,86391.0,27,0,11,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,1,0,58.0,72.0,78.0,73.0,72.0 +16.0,15,12,0.0,69,,58.0,13.0,85449.0,184.573,buemi,92.0,Swiss,toro_rosso,Italian,2010,12,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,10.0,9.0,0.0,81982.0,81897.0,81897.0,36,22,Mainly sunny28 °C (82 °F)[1],1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,81897.0,81982.0,81925.33333333333,21,1,29,0,0,0,0,0,0,0,1,1,1,1,1,0,0,0,2,0,0,58.0,72.0,78.0,73.0,72.0 +1.0,11,8,4.0,69,,61.0,8.0,84205.0,187.3,button,22.0,British,mclaren,British,2010,12,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,2.0,304.0,2.0,4.0,81422.0,81292.0,81292.0,44,30,Mainly sunny28 °C (82 °F)[1],1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,81292.0,81422.0,81335.33333333333,26,4,82,5,2,1,1,2,0,1,1,0,0,0,0,0,0,0,0,0,0,77.0,76.0,76.0,70.0,71.0 +24.0,18,16,0.0,67,,59.0,19.0,87674.0,179.889,glock,65.0,German,virgin,British,2010,12,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+3 Laps,0.0,0.0,12.0,0.0,84050.0,84050.0,84050.0,42,28,Mainly sunny28 °C (82 °F)[1],1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,84050.0,84050.0,84050.0,26,2,45,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,4,72.0,76.0,76.0,76.0,74.0 +25.0,21,18,0.0,66,,62.0,16.0,87287.0,180.686,grassi,58.0,Brazilian,virgin,British,2010,12,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+4 Laps,0.0,0.0,12.0,0.0,85118.0,85118.0,85118.0,40,26,Mainly sunny28 °C (82 °F)[1],1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,85118.0,85118.0,85118.0,26,0,12,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,1,0,58.0,72.0,78.0,73.0,72.0 +10.0,10,6,8.0,70,6142294.0,66.0,7.0,84204.0,187.302,hulkenberg,27.0,German,williams,British,2010,12,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,40.0,7.0,0.0,81598.0,81275.0,81710.0,37,23,Mainly sunny28 °C (82 °F)[1],1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,81275.0,81710.0,81527.66666666667,23,0,12,0,0,0,0,0,0,0,0,0,2,0,0,2,1,1,1,1,0,58.0,72.0,78.0,73.0,72.0 +23.0,23,9,2.0,69,,68.0,9.0,84282.0,187.128,kobayashi,10.0,Japanese,sauber,Swiss,2010,12,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,23.0,8.0,0.0,82222.0,82222.0,82222.0,38,24,Mainly sunny28 °C (82 °F)[1],1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,82222.0,82222.0,82222.0,23,1,14,0,0,0,0,0,1,1,0,0,1,1,1,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +19.0,19,14,0.0,67,,64.0,18.0,87457.0,180.335,kovalainen,52.0,Finnish,lotus_racing,Malaysian,2010,12,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+3 Laps,0.0,0.0,10.0,0.0,84120.0,84120.0,84120.0,43,29,Mainly sunny28 °C (82 °F)[1],1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,84120.0,84120.0,84120.0,26,3,64,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,2,1,1,72.0,76.0,76.0,76.0,74.0 +15.0,16,13,0.0,69,,58.0,11.0,85358.0,184.77,liuzzi,29.0,Italian,force_india,Indian,2010,12,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,47.0,6.0,0.0,81789.0,81927.0,81927.0,44,30,Mainly sunny28 °C (82 °F)[1],1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,81789.0,81927.0,81881.0,26,4,52,0,0,0,0,0,0,1,0,3,0,1,0,1,0,1,2,0,0,72.0,76.0,76.0,76.0,74.0 +7.0,4,4,12.0,70,6093045.0,69.0,5.0,83329.0,189.269,massa,19.0,Brazilian,ferrari,Italian,2010,12,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,238.0,3.0,2.0,81299.0,80857.0,80331.0,43,29,Mainly sunny28 °C (82 °F)[1],1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,80331.0,81299.0,80829.0,25,4,75,3,2,1,1,0,1,2,0,1,0,1,0,0,0,2,0,0,0,74.0,75.0,75.0,72.0,71.0 +3.0,14,11,0.0,69,,64.0,12.0,85372.0,184.739,michael_schumacher,60.0,German,mercedes,German,2010,12,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,132.0,4.0,0.0,81840.0,81630.0,81630.0,55,41,Mainly sunny28 °C (82 °F)[1],1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,81630.0,81840.0,81700.0,37,4,30,0,0,0,2,0,1,0,0,2,2,1,1,0,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +12.0,7,5,10.0,70,6138763.0,61.0,6.0,83799.0,188.207,petrov,83.0,Russian,renault,French,2010,12,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,106.0,5.0,0.0,81558.0,80797.0,81229.0,40,26,Mainly sunny28 °C (82 °F)[1],1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,80797.0,81558.0,81194.66666666667,26,0,12,0,0,0,0,0,0,1,0,0,1,1,0,2,1,1,0,1,0,58.0,72.0,78.0,73.0,72.0 +22.0,9,7,6.0,69,,65.0,10.0,84342.0,186.995,rosa,82.0,Spanish,sauber,Swiss,2010,12,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,23.0,8.0,0.0,81891.0,81273.0,81411.0,53,39,Mainly sunny28 °C (82 °F)[1],1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,81273.0,81891.0,81525.0,35,4,20,0,0,0,0,0,0,0,0,0,0,1,2,0,1,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +18.0,20,15,0.0,67,,58.0,17.0,87429.0,180.393,trulli,75.0,Italian,lotus_racing,Malaysian,2010,12,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+3 Laps,0.0,0.0,10.0,0.0,84199.0,84199.0,84199.0,50,36,Mainly sunny28 °C (82 °F)[1],1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,84199.0,84199.0,84199.0,32,4,82,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,3,1,77.0,76.0,76.0,70.0,71.0 +5.0,1,3,15.0,70,6084823.0,70.0,1.0,82362.0,191.491,vettel,5.0,German,red_bull,Austrian,2010,12,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,2.0,312.0,1.0,6.0,80417.0,79573.0,78773.0,37,23,Mainly sunny28 °C (82 °F)[1],1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,78773.0,80417.0,79587.66666666667,20,3,55,5,1,2,2,0,1,1,0,0,0,0,0,0,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +6.0,2,1,25.0,70,6065571.0,46.0,2.0,82651.0,190.821,webber,91.0,Australian,red_bull,Austrian,2010,12,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,3.0,312.0,1.0,6.0,81132.0,79531.0,79184.0,48,34,Mainly sunny28 °C (82 °F)[1],1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,79184.0,81132.0,79949.0,30,4,82,5,1,1,0,1,1,0,2,1,0,0,0,0,0,0,0,0,0,77.0,76.0,76.0,70.0,71.0 +20.0,24,19,0.0,66,,59.0,23.0,89278.0,176.657,yamamoto,15.0,Japanese,hrt,Spanish,2010,12,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+4 Laps,0.0,0.0,11.0,0.0,86453.0,86453.0,86453.0,42,28,Mainly sunny28 °C (82 °F)[1],1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,86453.0,86453.0,86453.0,24,4,17,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +17.0,11,13,0.0,44,5393725.0,31.0,9.0,111576.0,225.984,alguersuari,66.0,Spanish,toro_rosso,Italian,2010,13,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,10.0,9.0,0.0,118944.0,108267.0,108267.0,34,20,Intermittent rain,0,0,0,1,0,Race circuit,Clockwise,7.004,44.0,308.052,108267.0,118944.0,111826.0,19,1,21,0,0,0,0,0,0,0,0,1,1,2,2,3,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +16.0,16,12,0.0,44,5384163.0,30.0,17.0,112966.0,223.203,buemi,92.0,Swiss,toro_rosso,Italian,2010,13,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,10.0,9.0,0.0,120386.0,109209.0,109209.0,36,22,Intermittent rain,0,0,0,1,0,Race circuit,Clockwise,7.004,44.0,308.052,109209.0,120386.0,112934.66666666669,21,1,30,0,0,0,0,0,0,0,1,1,1,1,2,0,0,0,2,0,0,58.0,72.0,78.0,73.0,72.0 +24.0,20,18,0.0,43,,31.0,19.0,115268.0,218.745,glock,65.0,German,virgin,British,2010,13,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,+1 Lap,0.0,0.0,12.0,0.0,121316.0,112049.0,112049.0,42,28,Intermittent rain,0,0,0,1,0,Race circuit,Clockwise,7.004,44.0,308.052,112049.0,121316.0,115138.0,26,2,46,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,4,72.0,76.0,76.0,76.0,74.0 +25.0,22,17,0.0,43,,25.0,21.0,115705.0,217.919,grassi,58.0,Brazilian,virgin,British,2010,13,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,+1 Lap,0.0,0.0,12.0,0.0,138754.0,138754.0,138754.0,40,26,Intermittent rain,0,0,0,1,0,Race circuit,Clockwise,7.004,44.0,308.052,138754.0,138754.0,138754.0,26,0,13,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,1,1,58.0,72.0,78.0,73.0,72.0 +2.0,2,1,25.0,44,5344268.0,32.0,1.0,109069.0,231.178,hamilton,44.0,British,mclaren,British,2010,13,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,2.0,329.0,2.0,5.0,116706.0,106211.0,105863.0,39,25,Intermittent rain,0,0,0,1,0,Race circuit,Clockwise,7.004,44.0,308.052,105863.0,116706.0,109593.33333333331,22,3,65,6,3,1,1,1,2,0,0,0,0,0,0,0,1,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +10.0,9,14,0.0,43,,28.0,12.0,111864.0,225.402,hulkenberg,27.0,German,williams,British,2010,13,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,+1 Lap,0.0,40.0,7.0,0.0,115442.0,107821.0,107053.0,37,23,Intermittent rain,0,0,0,1,0,Race circuit,Clockwise,7.004,44.0,308.052,107053.0,115442.0,110105.33333333331,23,0,13,0,0,0,0,0,1,0,0,0,2,0,0,2,1,1,1,1,0,58.0,72.0,78.0,73.0,72.0 +23.0,17,8,4.0,44,5360946.0,29.0,11.0,111749.0,225.634,kobayashi,10.0,Japanese,sauber,Swiss,2010,13,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,27.0,8.0,0.0,122284.0,122284.0,122284.0,38,24,Intermittent rain,0,0,0,1,0,Race circuit,Clockwise,7.004,44.0,308.052,122284.0,122284.0,122284.0,23,1,15,0,0,0,0,0,1,1,0,1,1,1,1,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +19.0,13,16,0.0,43,,23.0,22.0,115797.0,217.746,kovalainen,52.0,Finnish,lotus_racing,Malaysian,2010,13,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,+1 Lap,0.0,0.0,10.0,0.0,121343.0,110980.0,110980.0,43,29,Intermittent rain,0,0,0,1,0,Race circuit,Clockwise,7.004,44.0,308.052,110980.0,121343.0,114434.33333333331,26,3,65,0,0,0,0,0,0,0,0,0,0,0,0,1,2,1,2,1,1,72.0,76.0,76.0,76.0,74.0 +11.0,3,3,15.0,44,5347761.0,29.0,3.0,109807.0,229.624,kubica,88.0,Polish,renault,French,2010,13,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,123.0,5.0,0.0,116041.0,107320.0,106100.0,40,26,Intermittent rain,0,0,0,1,0,Race circuit,Clockwise,7.004,44.0,308.052,106100.0,116041.0,109820.33333333331,22,4,70,2,1,1,1,2,1,2,1,0,0,1,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +15.0,12,10,1.0,44,5379099.0,31.0,14.0,112267.0,224.593,liuzzi,29.0,Italian,force_india,Indian,2010,13,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,58.0,6.0,0.0,121102.0,108680.0,108680.0,44,30,Intermittent rain,0,0,0,1,0,Race circuit,Clockwise,7.004,44.0,308.052,108680.0,121102.0,112820.66666666669,26,4,53,0,0,0,0,0,0,1,0,3,0,1,0,2,0,1,2,0,0,72.0,76.0,76.0,76.0,74.0 +7.0,6,4,12.0,44,5352532.0,26.0,4.0,110111.0,228.99,massa,19.0,Brazilian,ferrari,Italian,2010,13,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,250.0,3.0,2.0,118323.0,107322.0,106314.0,43,29,Intermittent rain,0,0,0,1,0,Race circuit,Clockwise,7.004,44.0,308.052,106314.0,118323.0,110653.0,25,4,76,3,2,1,2,0,1,2,0,1,0,1,0,0,0,2,0,0,0,74.0,75.0,75.0,72.0,71.0 +3.0,21,7,6.0,44,5359816.0,32.0,13.0,111914.0,225.301,michael_schumacher,60.0,German,mercedes,German,2010,13,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,146.0,4.0,0.0,116313.0,107874.0,107874.0,55,41,Intermittent rain,0,0,0,1,0,Race circuit,Clockwise,7.004,44.0,308.052,107874.0,116313.0,110687.0,37,4,31,0,0,0,2,0,1,0,0,2,2,2,1,0,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +12.0,23,9,2.0,44,5368119.0,32.0,7.0,111175.0,226.799,petrov,83.0,Russian,renault,French,2010,13,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,123.0,5.0,0.0,138754.0,138754.0,138754.0,40,26,Intermittent rain,0,0,0,1,0,Race circuit,Clockwise,7.004,44.0,308.052,138754.0,138754.0,138754.0,26,0,13,0,0,0,0,1,0,1,0,0,1,1,0,2,1,1,0,1,0,58.0,72.0,78.0,73.0,72.0 +22.0,24,11,0.0,44,5380287.0,31.0,15.0,112537.0,224.054,rosa,82.0,Spanish,sauber,Swiss,2010,13,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,27.0,8.0,0.0,125294.0,125294.0,125294.0,53,39,Intermittent rain,0,0,0,1,0,Race circuit,Clockwise,7.004,44.0,308.052,125294.0,125294.0,125294.0,35,4,21,0,0,0,0,0,0,1,0,0,0,1,2,0,1,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +4.0,14,6,8.0,44,5356627.0,31.0,10.0,111688.0,225.757,rosberg,6.0,German,mercedes,German,2010,13,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,146.0,4.0,0.0,114826.0,107885.0,107885.0,39,25,Intermittent rain,0,0,0,1,0,Race circuit,Clockwise,7.004,44.0,308.052,107885.0,114826.0,110198.66666666669,21,4,83,3,0,3,0,3,1,1,1,0,1,0,0,1,0,0,0,0,0,77.0,76.0,76.0,70.0,71.0 +14.0,8,5,10.0,44,5353362.0,25.0,5.0,110477.0,228.232,sutil,99.0,German,force_india,Indian,2010,13,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,58.0,6.0,0.0,118730.0,107292.0,106659.0,41,27,Intermittent rain,0,0,0,1,0,Race circuit,Clockwise,7.004,44.0,308.052,106659.0,118730.0,110893.66666666669,24,3,65,0,0,0,0,1,1,1,2,1,1,1,1,0,0,0,0,1,1,72.0,76.0,76.0,76.0,74.0 +18.0,15,19,0.0,43,,24.0,18.0,115103.0,219.059,trulli,75.0,Italian,lotus_racing,Malaysian,2010,13,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,+1 Lap,0.0,0.0,10.0,0.0,121491.0,121491.0,121491.0,50,36,Intermittent rain,0,0,0,1,0,Race circuit,Clockwise,7.004,44.0,308.052,121491.0,121491.0,121491.0,32,4,83,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,1,3,1,77.0,76.0,76.0,70.0,71.0 +5.0,4,15,0.0,43,,22.0,6.0,110868.0,227.427,vettel,5.0,German,red_bull,Austrian,2010,13,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,+1 Lap,2.0,330.0,1.0,6.0,118487.0,107245.0,106127.0,37,23,Intermittent rain,0,0,0,1,0,Race circuit,Clockwise,7.004,44.0,308.052,106127.0,118487.0,110619.66666666669,20,3,56,6,1,3,2,0,1,1,0,0,0,0,0,0,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +6.0,1,2,18.0,44,5345839.0,32.0,2.0,109395.0,230.489,webber,91.0,Australian,red_bull,Austrian,2010,13,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,4.0,330.0,1.0,6.0,117352.0,107253.0,105778.0,48,34,Intermittent rain,0,0,0,1,0,Race circuit,Clockwise,7.004,44.0,308.052,105778.0,117352.0,110127.66666666669,30,4,83,6,1,1,0,1,1,0,2,1,0,0,0,0,0,0,0,0,0,77.0,76.0,76.0,70.0,71.0 +20.0,19,20,0.0,42,,31.0,20.0,115484.0,218.336,yamamoto,15.0,Japanese,hrt,Spanish,2010,13,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,+2 Laps,0.0,0.0,11.0,0.0,123941.0,123941.0,123941.0,42,28,Intermittent rain,0,0,0,1,0,Race circuit,Clockwise,7.004,44.0,308.052,123941.0,123941.0,123941.0,24,4,18,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +17.0,15,15,0.0,52,,51.0,15.0,85472.0,243.995,alguersuari,66.0,Spanish,toro_rosso,Italian,2010,14,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,10.0,9.0,0.0,84083.0,83919.0,83919.0,34,20,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,83919.0,84083.0,83973.66666666667,19,1,22,0,0,0,0,0,0,0,0,1,1,2,2,4,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,1,1,25.0,53,4584572.0,52.0,1.0,84139.0,247.861,alonso,14.0,Spanish,ferrari,Italian,2010,14,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,2.0,290.0,3.0,2.0,82646.0,82297.0,81962.0,43,29,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,81962.0,82646.0,82301.66666666667,25,4,84,5,2,1,2,0,1,0,2,0,0,0,0,1,1,0,0,0,0,77.0,76.0,76.0,70.0,71.0 +9.0,10,10,1.0,53,4648785.0,48.0,14.0,85239.0,244.662,barrichello,96.0,Brazilian,williams,British,2010,14,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,47.0,7.0,0.0,83695.0,83142.0,83328.0,52,38,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,83142.0,83695.0,83388.33333333333,34,4,84,0,0,0,1,1,0,0,1,1,2,0,3,0,2,0,0,0,1,77.0,76.0,76.0,70.0,71.0 +16.0,14,11,0.0,53,4649628.0,51.0,13.0,85224.0,244.705,buemi,92.0,Swiss,toro_rosso,Italian,2010,14,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,10.0,9.0,0.0,83744.0,83681.0,83681.0,36,22,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,83681.0,83744.0,83702.0,21,1,31,0,0,0,0,0,0,0,1,1,1,1,3,0,0,0,2,0,0,58.0,72.0,78.0,73.0,72.0 +1.0,2,2,18.0,53,4587510.0,46.0,8.0,84598.0,246.516,button,22.0,British,mclaren,British,2010,14,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,2.0,347.0,2.0,5.0,83085.0,82354.0,82084.0,44,30,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,82084.0,83085.0,82507.66666666667,26,4,84,5,2,1,1,2,0,1,2,0,0,0,0,0,0,0,0,0,0,77.0,76.0,76.0,70.0,71.0 +24.0,24,17,0.0,51,,50.0,17.0,87765.0,237.62,glock,65.0,German,virgin,British,2010,14,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+2 Laps,0.0,0.0,12.0,0.0,85934.0,85934.0,85934.0,42,28,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,85934.0,85934.0,85934.0,26,2,47,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,5,72.0,76.0,76.0,76.0,74.0 +25.0,21,20,0.0,50,,46.0,19.0,88171.0,236.526,grassi,58.0,Brazilian,virgin,British,2010,14,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+3 Laps,0.0,0.0,12.0,0.0,85974.0,85974.0,85974.0,40,26,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,85974.0,85974.0,85974.0,26,0,14,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,2,1,58.0,72.0,78.0,73.0,72.0 +10.0,8,7,6.0,53,4617384.0,52.0,7.0,84576.0,246.58,hulkenberg,27.0,German,williams,British,2010,14,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,47.0,7.0,0.0,83516.0,82989.0,83037.0,37,23,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,82989.0,83516.0,83180.66666666667,23,0,14,0,0,0,0,0,1,0,0,0,2,0,0,2,2,1,1,1,0,58.0,72.0,78.0,73.0,72.0 +19.0,18,18,0.0,51,,50.0,18.0,87822.0,237.466,kovalainen,52.0,Finnish,lotus_racing,Malaysian,2010,14,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+2 Laps,0.0,0.0,10.0,0.0,85742.0,85742.0,85742.0,43,29,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,85742.0,85742.0,85742.0,26,3,66,0,0,0,0,0,0,0,0,0,0,0,0,1,2,1,3,1,1,72.0,76.0,76.0,76.0,74.0 +11.0,9,8,4.0,53,4618600.0,48.0,5.0,84560.0,246.627,kubica,88.0,Polish,renault,French,2010,14,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,127.0,5.0,0.0,83234.0,82880.0,83039.0,40,26,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,82880.0,83234.0,83051.0,22,4,71,3,1,2,1,2,1,2,1,0,0,1,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +15.0,19,12,0.0,53,4650678.0,51.0,12.0,85102.0,245.056,liuzzi,29.0,Italian,force_india,Indian,2010,14,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,58.0,6.0,0.0,85774.0,85774.0,85774.0,44,30,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,85774.0,85774.0,85774.0,26,4,54,0,0,0,0,0,0,1,0,3,1,1,0,2,0,1,2,0,0,72.0,76.0,76.0,76.0,74.0 +7.0,3,3,15.0,53,4588795.0,51.0,6.0,84575.0,246.583,massa,19.0,Brazilian,ferrari,Italian,2010,14,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,290.0,3.0,3.0,82421.0,82610.0,82293.0,43,29,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,82293.0,82610.0,82441.33333333333,25,4,77,3,2,1,3,0,1,2,0,1,0,1,0,0,0,2,0,0,0,74.0,75.0,75.0,72.0,71.0 +3.0,12,9,2.0,53,4629520.0,49.0,11.0,84947.0,245.503,michael_schumacher,60.0,German,mercedes,German,2010,14,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,158.0,4.0,0.0,83840.0,83388.0,83388.0,55,41,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,83388.0,83840.0,83538.66666666667,37,4,32,0,0,0,2,0,1,1,0,2,2,2,1,0,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +12.0,20,13,0.0,53,4663491.0,53.0,9.0,84644.0,246.382,petrov,83.0,Russian,renault,French,2010,14,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,127.0,5.0,0.0,84086.0,83819.0,83819.0,40,26,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,83819.0,84086.0,83908.0,26,0,14,0,0,0,0,1,0,1,0,1,1,1,0,2,1,1,0,1,0,58.0,72.0,78.0,73.0,72.0 +22.0,16,14,0.0,52,,47.0,16.0,86325.0,241.584,rosa,82.0,Spanish,sauber,Swiss,2010,14,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,27.0,8.0,0.0,84442.0,84044.0,84044.0,53,39,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,84044.0,84442.0,84176.66666666667,35,4,22,0,0,0,0,0,0,1,0,0,0,2,2,0,1,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +4.0,7,5,10.0,53,4614514.0,52.0,3.0,84491.0,246.828,rosberg,6.0,German,mercedes,German,2010,14,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,158.0,4.0,0.0,83529.0,83055.0,83027.0,39,25,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,83027.0,83529.0,83203.66666666667,21,4,84,3,0,3,0,3,2,1,1,0,1,0,0,1,0,0,0,0,0,77.0,76.0,76.0,70.0,71.0 +14.0,11,16,0.0,52,,51.0,10.0,84937.0,245.532,sutil,99.0,German,force_india,Indian,2010,14,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,58.0,6.0,0.0,83493.0,83199.0,83199.0,41,27,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,83199.0,83493.0,83297.0,24,3,66,0,0,0,0,2,1,1,2,1,1,1,1,0,0,0,0,1,1,72.0,76.0,76.0,76.0,74.0 +5.0,6,4,12.0,53,4612768.0,50.0,4.0,84493.0,246.822,vettel,5.0,German,red_bull,Austrian,2010,14,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,2.0,350.0,1.0,6.0,83235.0,82701.0,82675.0,37,23,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,82675.0,83235.0,82870.33333333333,20,3,57,6,1,3,2,0,1,1,0,0,0,0,0,0,0,1,0,1,0,72.0,76.0,76.0,76.0,74.0 +6.0,4,6,8.0,53,4615848.0,52.0,2.0,84278.0,247.452,webber,91.0,Australian,red_bull,Austrian,2010,14,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,4.0,350.0,1.0,6.0,83431.0,82706.0,82433.0,48,34,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,82433.0,83431.0,82856.66666666667,30,4,84,7,2,1,0,1,1,0,2,1,0,0,0,0,0,0,0,0,0,77.0,76.0,76.0,70.0,71.0 +20.0,23,19,0.0,51,,45.0,20.0,88875.0,234.653,yamamoto,15.0,Japanese,hrt,Spanish,2010,14,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+2 Laps,0.0,0.0,11.0,0.0,87020.0,87020.0,87020.0,42,28,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,87020.0,87020.0,87020.0,24,4,19,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +17.0,11,12,0.0,60,,43.0,14.0,112333.0,162.577,alguersuari,66.0,Spanish,toro_rosso,Italian,2010,15,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,+1 Lap,0.0,10.0,9.0,0.0,108127.0,107666.0,107666.0,34,20,"Clear; Air temp 29 to 30 °C (84 to 86 °F), Track temp 31 °C (88 °F)[5][6]",1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,107666.0,108127.0,107819.66666666669,19,1,23,0,0,0,0,0,0,0,0,1,1,2,2,4,0,2,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,1,1,25.0,61,7073579.0,58.0,1.0,107976.0,169.137,alonso,14.0,Spanish,ferrari,Italian,2010,15,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,3.0,319.0,3.0,3.0,106541.0,105809.0,105390.0,43,29,"Clear; Air temp 29 to 30 °C (84 to 86 °F), Track temp 31 °C (88 °F)[5][6]",1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,105390.0,106541.0,105913.33333333331,25,4,85,6,2,1,2,0,1,0,2,0,0,0,0,1,1,0,0,0,0,77.0,76.0,76.0,70.0,71.0 +9.0,6,6,8.0,61,7129680.0,52.0,9.0,110334.0,165.522,barrichello,96.0,Brazilian,williams,British,2010,15,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,56.0,7.0,0.0,108183.0,107019.0,106236.0,52,38,"Clear; Air temp 29 to 30 °C (84 to 86 °F), Track temp 31 °C (88 °F)[5][6]",1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,106236.0,108183.0,107146.0,34,4,85,0,0,0,1,1,0,0,1,1,3,0,3,0,2,0,0,0,1,77.0,76.0,76.0,70.0,71.0 +16.0,13,14,0.0,60,,59.0,6.0,109710.0,166.464,buemi,92.0,Swiss,toro_rosso,Italian,2010,15,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,+1 Lap,0.0,10.0,9.0,0.0,109063.0,108502.0,108502.0,36,22,"Clear; Air temp 29 to 30 °C (84 to 86 °F), Track temp 31 °C (88 °F)[5][6]",1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,108502.0,109063.0,108689.0,21,1,32,0,0,0,0,0,0,0,1,1,1,2,3,0,0,0,2,0,0,58.0,72.0,78.0,73.0,72.0 +1.0,4,4,12.0,61,7103963.0,61.0,7.0,109711.0,166.462,button,22.0,British,mclaren,British,2010,15,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,2.0,359.0,2.0,5.0,108032.0,106490.0,105944.0,44,30,"Clear; Air temp 29 to 30 °C (84 to 86 °F), Track temp 31 °C (88 °F)[5][6]",1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,105944.0,108032.0,106822.0,26,4,85,6,3,1,1,2,0,1,2,0,0,0,0,0,0,0,0,0,0,77.0,76.0,76.0,70.0,71.0 +25.0,20,15,0.0,59,,55.0,17.0,112513.0,162.317,grassi,58.0,Brazilian,virgin,British,2010,15,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,+2 Laps,0.0,0.0,12.0,0.0,111107.0,111107.0,111107.0,40,26,"Clear; Air temp 29 to 30 °C (84 to 86 °F), Track temp 31 °C (88 °F)[5][6]",1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,111107.0,111107.0,111107.0,26,0,15,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,2,1,58.0,72.0,78.0,73.0,72.0 +10.0,17,10,1.0,61,7206370.0,45.0,13.0,112213.0,162.751,hulkenberg,27.0,German,williams,British,2010,15,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,56.0,7.0,0.0,107984.0,107674.0,107674.0,37,23,"Clear; Air temp 29 to 30 °C (84 to 86 °F), Track temp 31 °C (88 °F)[5][6]",1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,107674.0,107984.0,107777.33333333331,23,0,15,0,0,0,0,0,1,1,0,0,2,0,0,2,2,1,1,1,0,58.0,72.0,78.0,73.0,72.0 +11.0,8,7,6.0,61,7160138.0,56.0,3.0,109255.0,167.157,kubica,88.0,Polish,renault,French,2010,15,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,133.0,5.0,0.0,107657.0,106949.0,106593.0,40,26,"Clear; Air temp 29 to 30 °C (84 to 86 °F), Track temp 31 °C (88 °F)[5][6]",1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,106593.0,107657.0,107066.33333333331,22,4,72,3,1,2,1,2,1,2,2,0,0,1,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +7.0,24,8,4.0,61,7186876.0,45.0,12.0,112079.0,162.945,massa,19.0,Brazilian,ferrari,Italian,2010,15,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,319.0,3.0,4.0,114174.0,114174.0,114174.0,43,29,"Clear; Air temp 29 to 30 °C (84 to 86 °F), Track temp 31 °C (88 °F)[5][6]",1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,114174.0,114174.0,114174.0,25,4,78,4,2,2,3,0,1,2,0,1,0,1,0,0,0,2,0,0,0,74.0,75.0,75.0,72.0,71.0 +3.0,9,13,0.0,60,,54.0,4.0,109680.0,166.509,michael_schumacher,60.0,German,mercedes,German,2010,15,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,+1 Lap,0.0,168.0,4.0,0.0,108425.0,107160.0,106702.0,55,41,"Clear; Air temp 29 to 30 °C (84 to 86 °F), Track temp 31 °C (88 °F)[5][6]",1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,106702.0,108425.0,107429.0,37,4,33,0,0,0,2,0,1,1,0,3,2,2,1,0,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +12.0,12,11,0.0,60,,46.0,11.0,111903.0,163.202,petrov,83.0,Russian,renault,French,2010,15,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,+1 Lap,0.0,133.0,5.0,0.0,108906.0,108165.0,108165.0,40,26,"Clear; Air temp 29 to 30 °C (84 to 86 °F), Track temp 31 °C (88 °F)[5][6]",1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,108165.0,108906.0,108412.0,26,0,15,0,0,0,0,1,0,1,0,1,1,1,0,3,1,1,0,1,0,58.0,72.0,78.0,73.0,72.0 +4.0,7,5,10.0,61,7122973.0,55.0,8.0,110125.0,165.837,rosberg,6.0,German,mercedes,German,2010,15,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,168.0,4.0,0.0,108554.0,106783.0,106443.0,39,25,"Clear; Air temp 29 to 30 °C (84 to 86 °F), Track temp 31 °C (88 °F)[5][6]",1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,106443.0,108554.0,107260.0,21,4,85,3,0,3,0,4,2,1,1,0,1,0,0,1,0,0,0,0,0,77.0,76.0,76.0,70.0,71.0 +14.0,15,9,2.0,61,7195995.0,45.0,15.0,112473.0,162.374,sutil,99.0,German,force_india,Indian,2010,15,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,60.0,6.0,0.0,108496.0,108899.0,108899.0,41,27,"Clear; Air temp 29 to 30 °C (84 to 86 °F), Track temp 31 °C (88 °F)[5][6]",1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,108496.0,108899.0,108764.66666666669,24,3,67,0,0,0,0,2,1,1,2,1,1,1,1,0,0,0,1,1,1,72.0,76.0,76.0,76.0,74.0 +5.0,2,2,18.0,61,7073872.0,59.0,2.0,108141.0,168.879,vettel,5.0,German,red_bull,Austrian,2010,15,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,2.0,383.0,1.0,6.0,106960.0,105561.0,105457.0,37,23,"Clear; Air temp 29 to 30 °C (84 to 86 °F), Track temp 31 °C (88 °F)[5][6]",1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,105457.0,106960.0,105992.66666666669,20,3,58,6,1,3,3,0,1,1,0,0,0,0,0,0,0,1,0,1,0,72.0,76.0,76.0,76.0,74.0 +6.0,5,3,15.0,61,7102720.0,54.0,5.0,109706.0,166.47,webber,91.0,Australian,red_bull,Austrian,2010,15,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,4.0,383.0,1.0,6.0,107088.0,105908.0,105977.0,48,34,"Clear; Air temp 29 to 30 °C (84 to 86 °F), Track temp 31 °C (88 °F)[5][6]",1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,105908.0,107088.0,106324.33333333331,30,4,85,7,2,1,0,1,2,0,2,1,0,0,0,0,0,0,0,0,0,77.0,76.0,76.0,70.0,71.0 +17.0,16,11,0.0,52,,49.0,5.0,94365.0,221.535,alguersuari,66.0,Spanish,toro_rosso,Italian,2010,16,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+1 Lap,0.0,11.0,9.0,0.0,93471.0,93071.0,93071.0,34,20,Sunny,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,93071.0,93471.0,93204.33333333331,19,1,24,0,0,0,0,0,0,0,0,1,1,2,3,4,0,2,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,4,3,15.0,53,5430044.0,53.0,4.0,93823.0,222.815,alonso,14.0,Spanish,ferrari,Italian,2010,16,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,4.0,334.0,3.0,4.0,92555.0,91819.0,91352.0,43,29,Sunny,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,91352.0,92555.0,91908.66666666669,25,4,86,7,2,1,2,0,1,0,2,0,0,0,0,1,1,0,0,0,0,91.0,83.0,77.0,75.0,75.0 +9.0,7,9,2.0,53,5498169.0,53.0,11.0,95597.0,218.68,barrichello,96.0,Brazilian,williams,British,2010,16,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,58.0,7.0,0.0,92361.0,91874.0,91535.0,52,38,Sunny,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,91535.0,92361.0,91923.33333333331,34,4,86,0,0,0,1,1,1,0,1,1,3,0,3,0,2,0,0,0,1,91.0,83.0,77.0,75.0,75.0 +21.0,23,15,0.0,51,,49.0,18.0,100329.0,208.366,bruno_senna,85.0,Brazilian,hrt,Spanish,2010,16,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+2 Laps,0.0,0.0,11.0,0.0,97270.0,97270.0,97270.0,41,27,Sunny,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,97270.0,97270.0,97270.0,27,0,15,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,2,0,58.0,72.0,78.0,73.0,72.0 +16.0,18,10,1.0,53,5500129.0,52.0,8.0,95116.0,219.786,buemi,92.0,Swiss,toro_rosso,Italian,2010,16,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,11.0,9.0,0.0,93568.0,93568.0,93568.0,36,22,Sunny,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,93568.0,93568.0,93568.0,21,1,33,0,0,0,0,0,0,0,1,1,1,2,3,0,1,0,2,0,0,58.0,72.0,78.0,73.0,72.0 +1.0,5,4,12.0,53,5440845.0,53.0,2.0,93529.0,223.515,button,22.0,British,mclaren,British,2010,16,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,2.0,381.0,2.0,5.0,92636.0,91763.0,91378.0,44,30,Sunny,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,91378.0,92636.0,91925.66666666669,26,4,86,6,3,1,2,2,0,1,2,0,0,0,0,0,0,0,0,0,0,91.0,83.0,77.0,75.0,75.0 +24.0,22,14,0.0,51,,51.0,17.0,99813.0,209.443,glock,65.0,German,virgin,British,2010,16,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+2 Laps,0.0,0.0,12.0,0.0,96332.0,96332.0,96332.0,42,28,Sunny,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,96332.0,96332.0,96332.0,26,2,49,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,2,5,72.0,76.0,76.0,76.0,74.0 +2.0,8,5,10.0,53,5466918.0,35.0,9.0,95182.0,219.633,hamilton,44.0,British,mclaren,British,2010,16,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,3.0,381.0,2.0,5.0,92809.0,91523.0,91169.0,39,25,Sunny,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,91169.0,92809.0,91833.66666666669,22,3,68,7,3,1,1,1,2,0,0,0,0,0,0,0,1,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +22.0,11,8,4.0,53,5496971.0,52.0,10.0,95521.0,218.854,heidfeld,43.0,German,sauber,Swiss,2010,16,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,37.0,8.0,0.0,93011.0,92187.0,92187.0,47,33,Sunny,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,92187.0,93011.0,92461.66666666669,29,4,72,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,72.0,76.0,76.0,76.0,74.0 +23.0,14,7,6.0,53,5491361.0,50.0,6.0,94486.0,221.251,kobayashi,10.0,Japanese,sauber,Swiss,2010,16,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,37.0,8.0,0.0,92783.0,92427.0,92427.0,38,24,Sunny,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,92427.0,92783.0,92545.66666666669,23,1,18,0,0,0,0,0,1,1,1,1,1,1,1,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +19.0,20,12,0.0,52,,51.0,14.0,97620.0,214.148,kovalainen,52.0,Finnish,lotus_racing,Malaysian,2010,16,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+1 Lap,0.0,0.0,10.0,0.0,95464.0,95464.0,95464.0,43,29,Sunny,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,95464.0,95464.0,95464.0,26,3,68,0,0,0,0,0,0,0,0,0,0,0,0,1,2,1,4,1,2,72.0,76.0,76.0,76.0,74.0 +3.0,10,6,8.0,53,5487256.0,52.0,7.0,94853.0,220.395,michael_schumacher,60.0,German,mercedes,German,2010,16,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,176.0,4.0,0.0,92513.0,92073.0,91846.0,55,41,Sunny,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,91846.0,92513.0,92144.0,37,4,34,0,0,0,2,0,1,1,0,3,2,2,1,1,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +18.0,19,13,0.0,51,,28.0,15.0,99710.0,209.66,trulli,75.0,Italian,lotus_racing,Malaysian,2010,16,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+2 Laps,0.0,0.0,10.0,0.0,95346.0,95346.0,95346.0,50,36,Sunny,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,95346.0,95346.0,95346.0,32,4,86,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,1,3,1,91.0,83.0,77.0,75.0,75.0 +5.0,1,1,25.0,53,5427323.0,51.0,3.0,93653.0,223.219,vettel,5.0,German,red_bull,Austrian,2010,16,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,2.0,426.0,1.0,7.0,92035.0,91184.0,90785.0,37,23,Sunny,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,90785.0,92035.0,91334.66666666669,20,3,59,7,2,3,3,0,1,1,0,0,0,0,0,0,0,1,0,1,0,72.0,76.0,76.0,76.0,74.0 +6.0,2,2,18.0,53,5428228.0,53.0,1.0,93474.0,223.647,webber,91.0,Australian,red_bull,Austrian,2010,16,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,4.0,426.0,1.0,7.0,92476.0,91241.0,90853.0,48,34,Sunny,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,90853.0,92476.0,91523.33333333331,30,4,86,8,2,2,0,1,2,0,2,1,0,0,0,0,0,0,0,0,0,91.0,83.0,77.0,75.0,75.0 +20.0,24,16,0.0,50,,33.0,16.0,99806.0,209.458,yamamoto,15.0,Japanese,hrt,Spanish,2010,16,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+3 Laps,0.0,0.0,11.0,0.0,97365.0,97365.0,97365.0,42,28,Sunny,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,97365.0,97365.0,97365.0,24,4,20,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +17.0,15,11,0.0,55,10184956.0,43.0,9.0,111962.0,180.543,alguersuari,66.0,Spanish,toro_rosso,Italian,2010,17,Korean Grand Prix,18000000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,Finished,0.0,11.0,9.0,0.0,98583.0,97853.0,97853.0,34,20,"Rain. Air 20 °C (68 °F), Track 18 °C (64 °F)",0,0,0,1,0,Race circuit,Anti-clockwise,5.615,55.0,309.155,97853.0,98583.0,98096.33333333331,19,1,25,0,0,0,0,0,0,0,0,1,1,3,3,4,0,2,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,3,1,25.0,55,10100810.0,42.0,1.0,110257.0,183.335,alonso,14.0,Spanish,ferrari,Italian,2010,17,Korean Grand Prix,18000000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,Finished,4.0,374.0,3.0,4.0,97144.0,96287.0,95766.0,43,29,"Rain. Air 20 °C (68 °F), Track 18 °C (64 °F)",0,0,0,1,0,Race circuit,Anti-clockwise,5.615,55.0,309.155,95766.0,97144.0,96399.0,25,4,87,8,2,2,2,0,1,0,2,0,0,0,0,1,1,0,0,0,0,91.0,83.0,77.0,75.0,75.0 +9.0,10,7,6.0,55,10170067.0,45.0,6.0,111564.0,181.187,barrichello,96.0,Brazilian,williams,British,2010,17,Korean Grand Prix,18000000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,Finished,0.0,65.0,7.0,0.0,98257.0,97511.0,96998.0,52,38,"Rain. Air 20 °C (68 °F), Track 18 °C (64 °F)",0,0,0,1,0,Race circuit,Anti-clockwise,5.615,55.0,309.155,96998.0,98257.0,97588.66666666669,34,4,87,0,0,0,1,1,1,0,1,2,3,0,3,0,2,0,0,0,1,91.0,83.0,77.0,75.0,75.0 +21.0,24,14,0.0,53,,30.0,20.0,119290.0,169.452,bruno_senna,85.0,Brazilian,hrt,Spanish,2010,17,Korean Grand Prix,18000000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,+2 Laps,0.0,0.0,11.0,0.0,103283.0,103283.0,103283.0,41,27,"Rain. Air 20 °C (68 °F), Track 18 °C (64 °F)",0,0,0,1,0,Race circuit,Anti-clockwise,5.615,55.0,309.155,103283.0,103283.0,103283.0,27,0,16,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,2,0,58.0,72.0,78.0,73.0,72.0 +1.0,7,12,0.0,55,10190749.0,42.0,11.0,112193.0,180.171,button,22.0,British,mclaren,British,2010,17,Korean Grand Prix,18000000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,Finished,2.0,399.0,2.0,5.0,98123.0,97064.0,96731.0,44,30,"Rain. Air 20 °C (68 °F), Track 18 °C (64 °F)",0,0,0,1,0,Race circuit,Anti-clockwise,5.615,55.0,309.155,96731.0,98123.0,97306.0,26,4,87,6,3,1,3,2,0,1,2,0,0,0,0,0,0,0,0,0,0,91.0,83.0,77.0,75.0,75.0 +2.0,4,2,18.0,55,10115809.0,42.0,3.0,110430.0,183.048,hamilton,44.0,British,mclaren,British,2010,17,Korean Grand Prix,18000000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,Finished,3.0,399.0,2.0,5.0,97113.0,96197.0,96062.0,39,25,"Rain. Air 20 °C (68 °F), Track 18 °C (64 °F)",0,0,0,1,0,Race circuit,Anti-clockwise,5.615,55.0,309.155,96062.0,97113.0,96457.33333333331,22,3,69,7,3,1,1,2,2,0,0,0,0,0,0,0,1,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +22.0,13,9,2.0,55,10180917.0,42.0,15.0,113263.0,178.469,heidfeld,43.0,German,sauber,Swiss,2010,17,Korean Grand Prix,18000000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,Finished,0.0,43.0,8.0,0.0,98171.0,97715.0,97715.0,47,33,"Rain. Air 20 °C (68 °F), Track 18 °C (64 °F)",0,0,0,1,0,Race circuit,Anti-clockwise,5.615,55.0,309.155,97715.0,98171.0,97867.0,29,4,73,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,74.0,75.0,75.0,72.0,71.0 +10.0,11,10,1.0,55,10181661.0,43.0,10.0,111982.0,180.511,hulkenberg,27.0,German,williams,British,2010,17,Korean Grand Prix,18000000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,Finished,0.0,65.0,7.0,0.0,98115.0,97620.0,97620.0,37,23,"Rain. Air 20 °C (68 °F), Track 18 °C (64 °F)",0,0,0,1,0,Race circuit,Anti-clockwise,5.615,55.0,309.155,97620.0,98115.0,97785.0,23,0,17,0,0,0,0,0,1,1,0,0,3,0,0,2,2,1,1,1,0,58.0,72.0,78.0,73.0,72.0 +23.0,12,8,4.0,55,10178699.0,42.0,14.0,113086.0,178.748,kobayashi,10.0,Japanese,sauber,Swiss,2010,17,Korean Grand Prix,18000000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,Finished,0.0,43.0,8.0,0.0,98429.0,97643.0,97643.0,38,24,"Rain. Air 20 °C (68 °F), Track 18 °C (64 °F)",0,0,0,1,0,Race circuit,Anti-clockwise,5.615,55.0,309.155,97643.0,98429.0,97905.0,23,1,19,0,0,0,0,0,1,2,1,1,1,1,1,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +19.0,21,13,0.0,54,,43.0,16.0,115018.0,175.746,kovalainen,52.0,Finnish,lotus_racing,Malaysian,2010,17,Korean Grand Prix,18000000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,+1 Lap,0.0,0.0,10.0,0.0,101768.0,101768.0,101768.0,43,29,"Rain. Air 20 °C (68 °F), Track 18 °C (64 °F)",0,0,0,1,0,Race circuit,Anti-clockwise,5.615,55.0,309.155,101768.0,101768.0,101768.0,26,3,69,0,0,0,0,0,0,0,0,0,0,0,1,1,2,1,4,1,2,72.0,76.0,76.0,76.0,74.0 +11.0,8,5,10.0,55,10148544.0,45.0,7.0,111604.0,181.122,kubica,88.0,Polish,renault,French,2010,17,Korean Grand Prix,18000000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,Finished,0.0,143.0,5.0,0.0,97703.0,97179.0,96824.0,40,26,"Rain. Air 20 °C (68 °F), Track 18 °C (64 °F)",0,0,0,1,0,Race circuit,Anti-clockwise,5.615,55.0,309.155,96824.0,97703.0,97235.33333333331,22,4,74,3,1,2,1,2,1,3,2,0,0,1,0,0,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +15.0,17,6,8.0,55,10154381.0,45.0,5.0,111371.0,181.501,liuzzi,29.0,Italian,force_india,Indian,2010,17,Korean Grand Prix,18000000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,Finished,0.0,68.0,6.0,0.0,98955.0,98955.0,98955.0,44,30,"Rain. Air 20 °C (68 °F), Track 18 °C (64 °F)",0,0,0,1,0,Race circuit,Anti-clockwise,5.615,55.0,309.155,98955.0,98955.0,98955.0,26,4,57,0,0,0,0,0,0,1,0,3,1,1,1,2,0,1,2,0,0,72.0,76.0,76.0,76.0,74.0 +7.0,6,3,15.0,55,10131678.0,44.0,4.0,110502.0,182.928,massa,19.0,Brazilian,ferrari,Italian,2010,17,Korean Grand Prix,18000000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,Finished,0.0,374.0,3.0,5.0,97515.0,96169.0,96571.0,43,29,"Rain. Air 20 °C (68 °F), Track 18 °C (64 °F)",0,0,0,1,0,Race circuit,Anti-clockwise,5.615,55.0,309.155,96169.0,97515.0,96751.66666666669,25,4,80,4,2,2,3,0,1,2,1,1,0,1,0,0,0,2,0,0,0,77.0,76.0,76.0,70.0,71.0 +3.0,9,4,12.0,55,10140498.0,43.0,8.0,111835.0,180.748,michael_schumacher,60.0,German,mercedes,German,2010,17,Korean Grand Prix,18000000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,Finished,0.0,188.0,4.0,0.0,97980.0,97077.0,96950.0,55,41,"Rain. Air 20 °C (68 °F), Track 18 °C (64 °F)",0,0,0,1,0,Race circuit,Anti-clockwise,5.615,55.0,309.155,96950.0,97980.0,97335.66666666669,37,4,35,0,0,0,2,0,2,1,0,3,2,2,1,1,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +20.0,23,15,0.0,53,,36.0,19.0,118313.0,170.851,yamamoto,15.0,Japanese,hrt,Spanish,2010,17,Korean Grand Prix,18000000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,+2 Laps,0.0,0.0,11.0,0.0,102444.0,102444.0,102444.0,42,28,"Rain. Air 20 °C (68 °F), Track 18 °C (64 °F)",0,0,0,1,0,Race circuit,Anti-clockwise,5.615,55.0,309.155,102444.0,102444.0,102444.0,24,4,21,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +17.0,14,11,0.0,70,,68.0,16.0,75695.0,204.932,alguersuari,66.0,Spanish,toro_rosso,Italian,2010,18,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,11.0,9.0,0.0,80158.0,79581.0,79581.0,34,20,Clear; 25 °C (77 °F),1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,79581.0,80158.0,79773.33333333333,19,1,26,0,0,0,0,0,0,0,0,1,1,4,3,4,0,2,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,5,3,15.0,71,5598610.0,67.0,2.0,73855.0,210.038,alonso,14.0,Spanish,ferrari,Italian,2010,18,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,5.0,389.0,3.0,5.0,78987.0,79010.0,75989.0,43,29,Clear; 25 °C (77 °F),1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,75989.0,79010.0,77995.33333333333,25,4,88,9,2,2,2,0,1,0,2,0,0,0,0,1,1,0,0,0,0,91.0,83.0,77.0,75.0,75.0 +9.0,6,14,0.0,70,,69.0,13.0,75227.0,206.207,barrichello,96.0,Brazilian,williams,British,2010,18,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,69.0,6.0,0.0,79799.0,78925.0,76203.0,52,38,Clear; 25 °C (77 °F),1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,76203.0,79799.0,78309.0,34,4,88,0,0,0,1,1,1,1,1,2,3,0,3,0,2,0,0,0,1,91.0,83.0,77.0,75.0,75.0 +16.0,19,13,0.0,70,,69.0,17.0,75935.0,204.285,buemi,92.0,Swiss,toro_rosso,Italian,2010,18,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,11.0,9.0,0.0,80096.0,79847.0,79847.0,36,22,Clear; 25 °C (77 °F),1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,79847.0,80096.0,79930.0,21,1,35,0,0,0,0,0,0,0,1,1,2,2,3,0,1,0,2,0,0,58.0,72.0,78.0,73.0,72.0 +1.0,11,5,10.0,71,5607396.0,71.0,3.0,73932.0,209.819,button,22.0,British,mclaren,British,2010,18,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,2.0,421.0,2.0,5.0,79905.0,79288.0,79288.0,44,30,Clear; 25 °C (77 °F),1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,79288.0,79905.0,79493.66666666667,26,4,88,6,3,1,3,2,0,1,2,0,0,0,1,0,0,0,0,0,0,91.0,83.0,77.0,75.0,75.0 +24.0,17,20,0.0,69,,66.0,23.0,77695.0,199.657,glock,65.0,German,virgin,British,2010,18,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+2 Laps,0.0,0.0,12.0,0.0,82130.0,82130.0,82130.0,42,28,Clear; 25 °C (77 °F),1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,82130.0,82130.0,82130.0,26,2,51,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,2,5,72.0,76.0,76.0,76.0,74.0 +2.0,4,4,12.0,71,5606437.0,66.0,1.0,73851.0,210.049,hamilton,44.0,British,mclaren,British,2010,18,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,3.0,421.0,2.0,5.0,79931.0,78921.0,75747.0,39,25,Clear; 25 °C (77 °F),1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,75747.0,79931.0,78199.66666666667,22,3,70,8,4,1,1,2,2,0,0,0,0,0,0,0,1,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +22.0,15,17,0.0,70,,68.0,10.0,75068.0,206.644,heidfeld,43.0,German,sauber,Swiss,2010,18,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,44.0,8.0,0.0,80174.0,79899.0,79899.0,47,33,Clear; 25 °C (77 °F),1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,79899.0,80174.0,79990.66666666667,29,4,74,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,1,74.0,75.0,75.0,72.0,71.0 +10.0,1,8,4.0,70,,70.0,8.0,74985.0,206.873,hulkenberg,27.0,German,williams,British,2010,18,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,69.0,6.0,0.0,80050.0,79144.0,74470.0,37,23,Clear; 25 °C (77 °F),1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,74470.0,80050.0,77888.0,23,0,18,0,0,0,0,0,1,1,0,0,4,0,0,2,2,1,1,1,0,58.0,72.0,78.0,73.0,72.0 +23.0,12,10,1.0,70,,65.0,7.0,74748.0,207.529,kobayashi,10.0,Japanese,sauber,Swiss,2010,18,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,44.0,8.0,0.0,79741.0,79385.0,79385.0,38,24,Clear; 25 °C (77 °F),1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,79385.0,79741.0,79503.66666666667,23,1,20,0,0,0,0,0,1,2,2,1,1,1,1,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +19.0,20,18,0.0,69,,69.0,20.0,77161.0,201.039,kovalainen,52.0,Finnish,lotus_racing,Malaysian,2010,18,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+2 Laps,0.0,0.0,10.0,0.0,82378.0,82378.0,82378.0,43,29,Clear; 25 °C (77 °F),1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,82378.0,82378.0,82378.0,26,3,70,0,0,0,0,0,0,0,0,0,0,0,1,2,2,1,4,1,2,72.0,76.0,76.0,76.0,74.0 +11.0,7,9,2.0,70,,61.0,11.0,75161.0,206.388,kubica,88.0,Polish,renault,French,2010,18,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,145.0,5.0,0.0,79249.0,78877.0,76552.0,40,26,Clear; 25 °C (77 °F),1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,76552.0,79249.0,78226.0,22,4,75,3,1,2,1,3,1,3,2,0,0,1,0,0,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +7.0,9,15,0.0,70,,69.0,14.0,75330.0,205.925,massa,19.0,Brazilian,ferrari,Italian,2010,18,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,389.0,3.0,5.0,79778.0,79200.0,77101.0,43,29,Clear; 25 °C (77 °F),1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,77101.0,79778.0,78693.0,25,4,81,5,2,3,3,0,1,2,1,1,0,1,0,0,0,2,0,0,0,77.0,76.0,76.0,70.0,71.0 +3.0,8,7,6.0,71,5635259.0,71.0,12.0,75219.0,206.229,michael_schumacher,60.0,German,mercedes,German,2010,18,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,202.0,4.0,0.0,79879.0,78923.0,76925.0,55,41,Clear; 25 °C (77 °F),1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,76925.0,79879.0,78575.66666666667,37,4,36,0,0,0,3,0,2,1,0,3,2,2,1,1,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +12.0,10,16,0.0,70,,70.0,15.0,75485.0,205.503,petrov,83.0,Russian,renault,French,2010,18,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,145.0,5.0,0.0,80189.0,79153.0,77656.0,40,26,Clear; 25 °C (77 °F),1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,77656.0,80189.0,78999.33333333333,26,0,18,0,0,0,0,1,0,1,0,1,1,2,0,3,1,1,0,1,1,58.0,72.0,78.0,73.0,72.0 +4.0,13,6,8.0,71,5627123.0,65.0,5.0,74184.0,209.107,rosberg,6.0,German,mercedes,German,2010,18,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,202.0,4.0,0.0,80153.0,79486.0,79486.0,39,25,Clear; 25 °C (77 °F),1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,79486.0,80153.0,79708.33333333333,21,4,88,3,0,3,0,5,2,1,1,0,1,0,0,1,0,0,0,1,0,91.0,83.0,77.0,75.0,75.0 +14.0,22,12,0.0,70,,64.0,9.0,74997.0,206.84,sutil,99.0,German,force_india,Indian,2010,18,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,68.0,7.0,0.0,80830.0,80830.0,80830.0,41,27,Clear; 25 °C (77 °F),1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,80830.0,80830.0,80830.0,24,3,70,0,0,0,0,2,1,1,2,2,1,1,1,0,0,0,2,1,2,72.0,76.0,76.0,76.0,74.0 +18.0,18,19,0.0,69,,69.0,21.0,77316.0,200.636,trulli,75.0,Italian,lotus_racing,Malaysian,2010,18,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+2 Laps,0.0,0.0,10.0,0.0,82250.0,82250.0,82250.0,50,36,Clear; 25 °C (77 °F),1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,82250.0,82250.0,82250.0,32,4,88,0,0,0,0,0,0,0,0,0,0,0,0,1,0,2,1,3,1,91.0,83.0,77.0,75.0,75.0 +5.0,2,1,25.0,71,5591803.0,70.0,6.0,74283.0,208.828,vettel,5.0,German,red_bull,Austrian,2010,18,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,3.0,469.0,1.0,8.0,79160.0,78691.0,75519.0,37,23,Clear; 25 °C (77 °F),1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,75519.0,79160.0,77790.0,20,3,61,8,2,3,3,0,1,1,0,0,0,0,0,0,0,1,0,2,0,72.0,76.0,76.0,76.0,74.0 +6.0,3,2,18.0,71,5596046.0,69.0,4.0,74047.0,209.493,webber,91.0,Australian,red_bull,Austrian,2010,18,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,4.0,469.0,1.0,8.0,79025.0,78516.0,75637.0,48,34,Clear; 25 °C (77 °F),1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,75637.0,79025.0,77726.0,30,4,88,9,3,2,0,1,2,0,2,1,0,0,0,0,0,0,0,0,0,91.0,83.0,77.0,75.0,75.0 +17.0,17,9,2.0,55,6027038.0,49.0,15.0,102727.0,194.636,alguersuari,66.0,Spanish,toro_rosso,Italian,2010,19,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,13.0,9.0,0.0,101707.0,101738.0,101738.0,34,20,Dry[3] Air Temp 28 °C (82 °F)[3] Track Temp 33 °C (91 °F) dropping to 29 °C (84 °F)[3],0,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,101707.0,101738.0,101727.66666666669,19,1,27,0,0,0,0,0,0,0,0,1,1,5,3,4,0,2,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,3,7,6.0,55,6020634.0,52.0,7.0,102227.0,195.588,alonso,14.0,Spanish,ferrari,Italian,2010,19,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,5.0,396.0,3.0,5.0,100170.0,100311.0,99792.0,43,29,Dry[3] Air Temp 28 °C (82 °F)[3] Track Temp 33 °C (91 °F) dropping to 29 °C (84 °F)[3],0,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,99792.0,100311.0,100091.0,25,4,89,10,2,3,2,0,1,0,2,0,0,0,0,1,1,0,0,0,0,91.0,83.0,77.0,75.0,75.0 +9.0,7,12,0.0,55,6034523.0,50.0,11.0,102669.0,194.746,barrichello,96.0,Brazilian,williams,British,2010,19,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,69.0,6.0,0.0,100904.0,100476.0,100203.0,52,38,Dry[3] Air Temp 28 °C (82 °F)[3] Track Temp 33 °C (91 °F) dropping to 29 °C (84 °F)[3],0,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,100203.0,100904.0,100527.66666666669,34,4,89,0,0,0,1,1,1,1,1,2,3,0,3,0,3,0,0,0,1,91.0,83.0,77.0,75.0,75.0 +21.0,23,19,0.0,53,,52.0,20.0,106255.0,188.173,bruno_senna,85.0,Brazilian,hrt,Spanish,2010,19,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+2 Laps,0.0,0.0,11.0,0.0,105085.0,105085.0,105085.0,41,27,Dry[3] Air Temp 28 °C (82 °F)[3] Track Temp 33 °C (91 °F) dropping to 29 °C (84 °F)[3],0,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,105085.0,105085.0,105085.0,27,0,18,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,2,2,0,58.0,72.0,78.0,73.0,72.0 +16.0,18,15,0.0,55,6040015.0,50.0,10.0,102573.0,194.928,buemi,92.0,Swiss,toro_rosso,Italian,2010,19,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,13.0,9.0,0.0,101824.0,101824.0,101824.0,36,22,Dry[3] Air Temp 28 °C (82 °F)[3] Track Temp 33 °C (91 °F) dropping to 29 °C (84 °F)[3],0,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,101824.0,101824.0,101824.0,21,1,36,0,0,0,0,0,0,0,1,1,2,2,3,1,1,0,2,0,0,58.0,72.0,78.0,73.0,72.0 +1.0,4,3,15.0,55,5987884.0,48.0,2.0,101636.0,196.725,button,22.0,British,mclaren,British,2010,19,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,2.0,454.0,2.0,5.0,100877.0,100014.0,99823.0,44,30,Dry[3] Air Temp 28 °C (82 °F)[3] Track Temp 33 °C (91 °F) dropping to 29 °C (84 °F)[3],0,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,99823.0,100877.0,100238.0,26,4,89,6,3,1,3,3,0,1,2,0,0,0,1,0,0,0,0,0,0,91.0,83.0,77.0,75.0,75.0 +25.0,22,18,0.0,53,,50.0,19.0,106126.0,188.402,grassi,58.0,Brazilian,virgin,British,2010,19,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+2 Laps,0.0,0.0,12.0,0.0,104510.0,104510.0,104510.0,40,26,Dry[3] Air Temp 28 °C (82 °F)[3] Track Temp 33 °C (91 °F) dropping to 29 °C (84 °F)[3],0,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,104510.0,104510.0,104510.0,26,0,19,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,2,1,58.0,72.0,78.0,73.0,72.0 +2.0,2,2,18.0,55,5986999.0,47.0,1.0,101274.0,197.428,hamilton,44.0,British,mclaren,British,2010,19,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,3.0,454.0,2.0,5.0,100335.0,100119.0,99425.0,39,25,Dry[3] Air Temp 28 °C (82 °F)[3] Track Temp 33 °C (91 °F) dropping to 29 °C (84 °F)[3],0,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,99425.0,100335.0,99959.66666666669,22,3,71,8,4,1,2,2,2,0,0,0,0,0,0,0,1,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +22.0,14,11,0.0,55,6028388.0,52.0,12.0,102673.0,194.738,heidfeld,43.0,German,sauber,Swiss,2010,19,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,44.0,8.0,0.0,101409.0,101113.0,101113.0,47,33,Dry[3] Air Temp 28 °C (82 °F)[3] Track Temp 33 °C (91 °F) dropping to 29 °C (84 °F)[3],0,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,101113.0,101409.0,101211.66666666669,29,4,75,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,1,1,74.0,75.0,75.0,72.0,71.0 +10.0,15,16,0.0,55,6041600.0,51.0,9.0,102397.0,195.263,hulkenberg,27.0,German,williams,British,2010,19,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,69.0,6.0,0.0,101015.0,101418.0,101418.0,37,23,Dry[3] Air Temp 28 °C (82 °F)[3] Track Temp 33 °C (91 °F) dropping to 29 °C (84 °F)[3],0,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,101015.0,101418.0,101283.66666666669,23,0,19,0,0,0,0,0,1,1,1,0,4,0,0,2,2,1,1,1,0,58.0,72.0,78.0,73.0,72.0 +20.0,24,20,0.0,53,,44.0,21.0,106646.0,187.483,klien,64.0,Austrian,hrt,Spanish,2010,19,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+2 Laps,0.0,0.0,11.0,0.0,105296.0,105296.0,105296.0,41,27,Dry[3] Air Temp 28 °C (82 °F)[3] Track Temp 33 °C (91 °F) dropping to 29 °C (84 °F)[3],0,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,105296.0,105296.0,105296.0,23,4,18,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +23.0,12,14,0.0,55,6036395.0,53.0,16.0,102733.0,194.624,kobayashi,10.0,Japanese,sauber,Swiss,2010,19,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,44.0,8.0,0.0,101045.0,100783.0,100783.0,38,24,Dry[3] Air Temp 28 °C (82 °F)[3] Track Temp 33 °C (91 °F) dropping to 29 °C (84 °F)[3],0,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,100783.0,101045.0,100870.33333333331,23,1,21,0,0,0,0,0,1,2,2,1,2,1,1,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +19.0,20,17,0.0,54,,52.0,17.0,105378.0,189.739,kovalainen,52.0,Finnish,lotus_racing,Malaysian,2010,19,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,0.0,10.0,0.0,103712.0,103712.0,103712.0,43,29,Dry[3] Air Temp 28 °C (82 °F)[3] Track Temp 33 °C (91 °F) dropping to 29 °C (84 °F)[3],0,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,103712.0,103712.0,103712.0,26,3,71,0,0,0,0,0,0,0,0,0,0,0,1,2,2,1,4,1,3,72.0,76.0,76.0,76.0,74.0 +11.0,11,5,10.0,55,6015863.0,51.0,5.0,101753.0,196.499,kubica,88.0,Polish,renault,French,2010,19,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,163.0,5.0,0.0,101336.0,100780.0,100780.0,40,26,Dry[3] Air Temp 28 °C (82 °F)[3] Track Temp 33 °C (91 °F) dropping to 29 °C (84 °F)[3],0,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,100780.0,101336.0,100965.33333333331,22,4,76,3,1,2,1,3,1,3,2,1,0,1,0,0,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +7.0,6,10,1.0,55,6027705.0,52.0,14.0,102725.0,194.64,massa,19.0,Brazilian,ferrari,Italian,2010,19,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,396.0,3.0,5.0,100942.0,100323.0,100202.0,43,29,Dry[3] Air Temp 28 °C (82 °F)[3] Track Temp 33 °C (91 °F) dropping to 29 °C (84 °F)[3],0,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,100202.0,100942.0,100489.0,25,4,82,5,2,3,3,0,1,2,1,1,0,1,0,0,0,3,0,0,0,77.0,76.0,76.0,70.0,71.0 +12.0,10,6,8.0,55,6020357.0,52.0,8.0,102311.0,195.427,petrov,83.0,Russian,renault,French,2010,19,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,163.0,5.0,0.0,101018.0,100658.0,100901.0,40,26,Dry[3] Air Temp 28 °C (82 °F)[3] Track Temp 33 °C (91 °F) dropping to 29 °C (84 °F)[3],0,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,100658.0,101018.0,100859.0,26,0,19,0,0,0,0,1,0,1,0,1,1,2,0,3,1,1,1,1,1,58.0,72.0,78.0,73.0,72.0 +4.0,9,4,12.0,55,6007584.0,52.0,3.0,101711.0,196.58,rosberg,6.0,German,mercedes,German,2010,19,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,214.0,4.0,0.0,100231.0,100060.0,100589.0,39,25,Dry[3] Air Temp 28 °C (82 °F)[3] Track Temp 33 °C (91 °F) dropping to 29 °C (84 °F)[3],0,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,100060.0,100589.0,100293.33333333331,21,4,89,3,0,3,0,5,3,1,1,0,1,0,0,1,0,0,0,1,0,91.0,83.0,77.0,75.0,75.0 +14.0,13,13,0.0,55,6035162.0,52.0,13.0,102695.0,194.696,sutil,99.0,German,force_india,Indian,2010,19,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,68.0,7.0,0.0,101473.0,100914.0,100914.0,41,27,Dry[3] Air Temp 28 °C (82 °F)[3] Track Temp 33 °C (91 °F) dropping to 29 °C (84 °F)[3],0,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,100914.0,101473.0,101100.33333333331,24,3,71,0,0,0,0,2,1,1,2,2,1,1,2,0,0,0,2,1,2,72.0,76.0,76.0,76.0,74.0 +5.0,1,1,25.0,55,5976837.0,50.0,4.0,101739.0,196.526,vettel,5.0,German,red_bull,Austrian,2010,19,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,4.0,498.0,1.0,9.0,100318.0,99874.0,99394.0,37,23,Dry[3] Air Temp 28 °C (82 °F)[3] Track Temp 33 °C (91 °F) dropping to 29 °C (84 °F)[3],0,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,99394.0,100318.0,99862.0,20,3,62,9,2,3,3,0,1,1,0,0,0,0,0,0,0,1,0,2,0,72.0,76.0,76.0,76.0,74.0 +6.0,5,8,4.0,55,6021080.0,52.0,6.0,102196.0,195.647,webber,91.0,Australian,red_bull,Austrian,2010,19,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,4.0,498.0,1.0,9.0,100690.0,100074.0,99925.0,48,34,Dry[3] Air Temp 28 °C (82 °F)[3] Track Temp 33 °C (91 °F) dropping to 29 °C (84 °F)[3],0,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,99925.0,100690.0,100229.66666666669,30,4,89,10,4,2,0,1,2,0,2,1,0,0,0,0,0,0,0,0,0,91.0,83.0,77.0,75.0,75.0 +19.0,12,11,0.0,57,,41.0,10.0,90467.0,211.025,alguersuari,66.0,Spanish,toro_rosso,Italian,2011,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+1 Lap,0.0,4.0,5.0,0.0,86620.0,86103.0,86103.0,34,21,"Sunny, 18°C",1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,86103.0,86620.0,86275.33333333333,19,2,28,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +5.0,5,4,12.0,58,5402031.0,49.0,2.0,89487.0,213.336,alonso,14.0,Spanish,ferrari,Italian,2011,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,18.0,3.0,0.0,85707.0,85242.0,84974.0,43,30,"Sunny, 18°C",1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,84974.0,85707.0,85307.66666666667,25,5,90,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,91.0,83.0,77.0,75.0,75.0 +25.0,22,14,0.0,54,,44.0,19.0,94523.0,201.969,ambrosio,70.0,Belgian,virgin,British,2011,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+4 Laps,0.0,0.0,8.0,0.0,90822.0,90822.0,90822.0,39,26,"Sunny, 18°C",1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,90822.0,90822.0,90822.0,26,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +18.0,10,8,4.0,57,,44.0,11.0,90836.0,210.167,buemi,92.0,Swiss,toro_rosso,Italian,2011,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+1 Lap,0.0,4.0,5.0,0.0,86232.0,85882.0,87066.0,36,23,"Sunny, 18°C",1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,85882.0,87066.0,86393.33333333333,21,2,37,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +4.0,4,6,8.0,58,5424563.0,49.0,5.0,89883.0,212.396,button,22.0,British,mclaren,British,2011,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,26.0,2.0,0.0,85886.0,84957.0,84779.0,44,31,"Sunny, 18°C",1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,84779.0,85886.0,85207.33333333333,26,5,90,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,91.0,83.0,77.0,75.0,75.0 +24.0,21,15,0.0,49,,48.0,22.0,95789.0,199.3,glock,65.0,German,virgin,British,2011,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+9 Laps,0.0,0.0,8.0,0.0,89858.0,89858.0,89858.0,42,29,"Sunny, 18°C",1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,89858.0,89858.0,89858.0,26,3,53,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +3.0,2,2,18.0,58,5392556.0,41.0,8.0,90314.0,211.382,hamilton,44.0,British,mclaren,British,2011,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,26.0,2.0,0.0,85384.0,84595.0,84307.0,39,26,"Sunny, 18°C",1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,84307.0,85384.0,84762.0,22,4,72,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +9.0,18,12,0.0,57,,43.0,15.0,92377.0,206.661,heidfeld,43.0,German,renault,French,2011,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+1 Lap,0.0,15.0,4.0,0.0,87239.0,87239.0,87239.0,47,34,"Sunny, 18°C",1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,87239.0,87239.0,87239.0,29,5,76,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +6.0,8,7,6.0,58,5455445.0,55.0,1.0,88947.0,214.631,massa,19.0,Brazilian,ferrari,Italian,2011,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,18.0,3.0,0.0,86031.0,85611.0,85599.0,43,30,"Sunny, 18°C",1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,85599.0,86031.0,85747.0,25,5,83,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,77.0,76.0,76.0,70.0,71.0 +10.0,6,3,15.0,58,5400819.0,55.0,7.0,90064.0,211.969,petrov,83.0,Russian,renault,French,2011,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,15.0,4.0,0.0,85543.0,85582.0,85247.0,40,27,"Sunny, 18°C",1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,85247.0,85582.0,85457.33333333333,26,1,20,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +15.0,14,10,1.0,57,,40.0,14.0,91941.0,207.641,resta,95.0,British,force_india,Indian,2011,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+1 Lap,0.0,3.0,6.0,0.0,87222.0,86739.0,86739.0,38,25,"Sunny, 18°C",1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,86739.0,87222.0,86900.0,25,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +14.0,16,9,2.0,57,,55.0,13.0,91526.0,208.583,sutil,99.0,German,force_india,Indian,2011,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+1 Lap,0.0,3.0,6.0,0.0,86245.0,91407.0,91407.0,41,28,"Sunny, 18°C",1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,86245.0,91407.0,89686.33333333333,24,4,72,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +21.0,20,13,0.0,56,,52.0,16.0,92550.0,206.275,trulli,75.0,Italian,lotus_racing,Malaysian,2011,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+2 Laps,0.0,0.0,7.0,0.0,89342.0,89342.0,89342.0,50,37,"Sunny, 18°C",1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,89342.0,89342.0,89342.0,32,5,90,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,91.0,83.0,77.0,75.0,75.0 +1.0,1,1,25.0,58,5370259.0,44.0,4.0,89844.0,212.488,vettel,5.0,German,red_bull,Austrian,2011,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,35.0,1.0,1.0,85296.0,84090.0,83529.0,37,24,"Sunny, 18°C",1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,83529.0,85296.0,84305.0,20,4,63,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +2.0,3,5,10.0,58,5408430.0,50.0,3.0,89600.0,213.066,webber,91.0,Australian,red_bull,Austrian,2011,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,35.0,1.0,1.0,85900.0,84658.0,84395.0,48,35,"Sunny, 18°C",1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,84395.0,85900.0,84984.33333333333,30,5,90,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,91.0,83.0,77.0,75.0,75.0 +19.0,13,14,0.0,55,,37.0,17.0,103744.0,192.346,alguersuari,66.0,Spanish,toro_rosso,Italian,2011,2,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+1 Lap,0.0,4.0,6.0,0.0,97677.0,97347.0,97347.0,34,21,"Cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,5.543,56.0,310.408,97347.0,97677.0,97457.0,19,2,29,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +5.0,5,6,8.0,56,5897080.0,49.0,2.0,100717.0,198.127,alonso,14.0,Spanish,ferrari,Italian,2011,2,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,36.0,3.0,0.0,96897.0,96320.0,95802.0,43,30,"Cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,5.543,56.0,310.408,95802.0,96897.0,96339.66666666669,25,5,91,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,96.0,84.0,79.0,78.0,77.0 +18.0,12,13,0.0,55,,36.0,12.0,102659.0,194.379,buemi,92.0,Swiss,toro_rosso,Italian,2011,2,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+1 Lap,0.0,4.0,6.0,0.0,97693.0,97160.0,97160.0,36,23,"Cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,5.543,56.0,310.408,97160.0,97693.0,97337.66666666669,21,2,38,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +4.0,4,2,18.0,56,5863093.0,50.0,4.0,101264.0,197.057,button,22.0,British,mclaren,British,2011,2,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,48.0,2.0,0.0,97033.0,95569.0,95200.0,44,31,"Cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,5.543,56.0,310.408,95200.0,97033.0,95934.0,26,5,91,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,96.0,84.0,79.0,78.0,77.0 +24.0,21,16,0.0,54,,50.0,20.0,105357.0,189.401,glock,65.0,German,virgin,British,2011,2,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+2 Laps,0.0,0.0,10.0,0.0,100648.0,100648.0,100648.0,42,29,"Cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,5.543,56.0,310.408,100648.0,100648.0,100648.0,26,3,54,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +3.0,2,8,4.0,56,5929789.0,54.0,5.0,101512.0,196.575,hamilton,44.0,British,mclaren,British,2011,2,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,48.0,2.0,0.0,96861.0,95852.0,94974.0,39,26,"Cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,5.543,56.0,310.408,94974.0,96861.0,95895.66666666669,22,4,73,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +9.0,6,3,15.0,56,5884907.0,47.0,7.0,101547.0,196.508,heidfeld,43.0,German,renault,French,2011,2,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,30.0,4.0,0.0,97224.0,96811.0,96124.0,47,34,"Cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,5.543,56.0,310.408,96124.0,97224.0,96719.66666666669,29,5,77,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +16.0,10,7,6.0,56,5926271.0,39.0,10.0,102095.0,195.453,kobayashi,10.0,Japanese,sauber,Swiss,2011,2,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,6.0,5.0,0.0,96994.0,96691.0,96820.0,38,25,"Cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,5.543,56.0,310.408,96691.0,96994.0,96835.0,23,2,23,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +20.0,19,15,0.0,55,,43.0,16.0,103677.0,192.47,kovalainen,52.0,Finnish,lotus_racing,Malaysian,2011,2,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+1 Lap,0.0,0.0,9.0,0.0,98645.0,98645.0,98645.0,43,30,"Cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,5.543,56.0,310.408,98645.0,98645.0,98645.0,26,4,73,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,74.0,75.0,75.0,72.0,71.0 +23.0,23,18,0.0,46,,42.0,23.0,106521.0,187.332,liuzzi,29.0,Italian,hrt,Spanish,2011,2,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+10 Laps,0.0,0.0,12.0,0.0,101549.0,101549.0,101549.0,44,31,"Cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,5.543,56.0,310.408,101549.0,101549.0,101549.0,26,5,61,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +6.0,7,5,10.0,56,5896790.0,41.0,9.0,101999.0,195.637,massa,19.0,Brazilian,ferrari,Italian,2011,2,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,36.0,3.0,0.0,96744.0,96557.0,96251.0,43,30,"Cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,5.543,56.0,310.408,96251.0,96744.0,96517.33333333331,25,5,84,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,77.0,76.0,76.0,70.0,71.0 +7.0,11,9,2.0,56,5944728.0,45.0,11.0,102491.0,194.698,michael_schumacher,60.0,German,mercedes,German,2011,2,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,2.0,8.0,0.0,96904.0,97035.0,97035.0,55,42,"Cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,5.543,56.0,310.408,96904.0,97035.0,96991.33333333331,37,5,39,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +15.0,14,10,1.0,56,5951395.0,48.0,13.0,102883.0,193.956,resta,95.0,British,force_india,Indian,2011,2,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,4.0,7.0,0.0,98045.0,97370.0,97370.0,38,25,"Cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,5.543,56.0,310.408,97370.0,98045.0,97595.0,25,0,2,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,9,12,0.0,55,,45.0,8.0,101778.0,196.062,rosberg,6.0,German,mercedes,German,2011,2,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+1 Lap,0.0,2.0,8.0,0.0,97316.0,96388.0,96809.0,39,26,"Cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,5.543,56.0,310.408,96388.0,97316.0,96837.66666666669,21,5,91,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,96.0,84.0,79.0,78.0,77.0 +14.0,17,11,0.0,55,5961211.0,34.0,14.0,102973.0,193.786,sutil,99.0,German,force_india,Indian,2011,2,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+1 Lap,0.0,4.0,7.0,0.0,97693.0,97593.0,97593.0,41,28,"Cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,5.543,56.0,310.408,97593.0,97693.0,97626.33333333331,24,4,73,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +1.0,1,1,25.0,56,5859832.0,33.0,6.0,101539.0,196.523,vettel,5.0,German,red_bull,Austrian,2011,2,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,1.0,72.0,1.0,2.0,97468.0,95934.0,94870.0,37,24,"Cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,5.543,56.0,310.408,94870.0,97468.0,96090.66666666669,20,4,64,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +2.0,3,4,12.0,56,5886216.0,46.0,1.0,100571.0,198.415,webber,91.0,Australian,red_bull,Austrian,2011,2,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,72.0,1.0,2.0,97924.0,96080.0,95179.0,48,35,"Cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,5.543,56.0,310.408,95179.0,97924.0,96394.33333333331,30,5,91,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,96.0,84.0,79.0,78.0,77.0 +5.0,5,7,6.0,56,5848848.0,41.0,15.0,102070.0,192.256,alonso,14.0,Spanish,ferrari,Italian,2011,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,50.0,3.0,0.0,95389.0,95165.0,95119.0,43,30,Fine and Dry[1] Air Temp 22 °C (72 °F)[1] Track Temp 32 °C (90 °F) dropping to 26 °C (79 °F)[1],1,0,1,0,0,Race circuit,Clockwise,5.451,56.0,305.066,95119.0,95389.0,95224.33333333331,25,5,92,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,96.0,84.0,79.0,78.0,77.0 +25.0,21,20,0.0,54,,45.0,22.0,104806.0,187.237,ambrosio,70.0,Belgian,virgin,British,2011,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+2 Laps,0.0,0.0,11.0,0.0,99119.0,99119.0,99119.0,39,26,Fine and Dry[1] Air Temp 22 °C (72 °F)[1] Track Temp 32 °C (90 °F) dropping to 26 °C (79 °F)[1],1,0,1,0,0,Race circuit,Clockwise,5.451,56.0,305.066,99119.0,99119.0,99119.0,26,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,15,13,0.0,56,5908415.0,45.0,13.0,102031.0,192.329,barrichello,96.0,Brazilian,williams,British,2011,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,0.0,10.0,0.0,95911.0,96465.0,96465.0,52,39,Fine and Dry[1] Air Temp 22 °C (72 °F)[1] Track Temp 32 °C (90 °F) dropping to 26 °C (79 °F)[1],1,0,1,0,0,Race circuit,Clockwise,5.451,56.0,305.066,95911.0,96465.0,96280.33333333331,34,5,92,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,96.0,84.0,79.0,78.0,77.0 +18.0,9,14,0.0,56,5908897.0,45.0,11.0,101696.0,192.963,buemi,92.0,Swiss,toro_rosso,Italian,2011,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,4.0,7.0,0.0,96110.0,95500.0,96203.0,36,23,Fine and Dry[1] Air Temp 22 °C (72 °F)[1] Track Temp 32 °C (90 °F) dropping to 26 °C (79 °F)[1],1,0,1,0,0,Race circuit,Clockwise,5.451,56.0,305.066,95500.0,96203.0,95937.66666666669,21,2,39,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +4.0,2,4,12.0,56,5828226.0,39.0,3.0,100623.0,195.021,button,22.0,British,mclaren,British,2011,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,85.0,2.0,1.0,95924.0,94662.0,94421.0,44,31,Fine and Dry[1] Air Temp 22 °C (72 °F)[1] Track Temp 32 °C (90 °F) dropping to 26 °C (79 °F)[1],1,0,1,0,0,Race circuit,Clockwise,5.451,56.0,305.066,94421.0,95924.0,95002.33333333331,26,5,92,1,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,96.0,84.0,79.0,78.0,77.0 +3.0,3,1,25.0,56,5818226.0,48.0,2.0,100415.0,195.424,hamilton,44.0,British,mclaren,British,2011,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,85.0,2.0,1.0,96091.0,94486.0,94463.0,39,26,Fine and Dry[1] Air Temp 22 °C (72 °F)[1] Track Temp 32 °C (90 °F) dropping to 26 °C (79 °F)[1],1,0,1,0,0,Race circuit,Clockwise,5.451,56.0,305.066,94463.0,96091.0,95013.33333333331,22,4,74,1,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +9.0,16,12,0.0,56,5890965.0,51.0,16.0,102406.0,191.625,heidfeld,43.0,German,renault,French,2011,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,32.0,4.0,0.0,95910.0,96611.0,96611.0,47,34,Fine and Dry[1] Air Temp 22 °C (72 °F)[1] Track Temp 32 °C (90 °F) dropping to 26 °C (79 °F)[1],1,0,1,0,0,Race circuit,Clockwise,5.451,56.0,305.066,95910.0,96611.0,96377.33333333331,29,5,78,1,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +16.0,13,10,1.0,56,5881499.0,32.0,17.0,102577.0,191.306,kobayashi,10.0,Japanese,sauber,Swiss,2011,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,7.0,6.0,0.0,96147.0,96236.0,96236.0,38,25,Fine and Dry[1] Air Temp 22 °C (72 °F)[1] Track Temp 32 °C (90 °F) dropping to 26 °C (79 °F)[1],1,0,1,0,0,Race circuit,Clockwise,5.451,56.0,305.066,96147.0,96236.0,96206.33333333331,23,2,24,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +20.0,19,16,0.0,55,,45.0,19.0,102672.0,191.129,kovalainen,52.0,Finnish,lotus_racing,Malaysian,2011,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+1 Lap,0.0,0.0,9.0,0.0,97894.0,97894.0,97894.0,43,30,Fine and Dry[1] Air Temp 22 °C (72 °F)[1] Track Temp 32 °C (90 °F) dropping to 26 °C (79 °F)[1],1,0,1,0,0,Race circuit,Clockwise,5.451,56.0,305.066,97894.0,97894.0,97894.0,26,4,74,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,74.0,75.0,75.0,72.0,71.0 +12.0,17,18,0.0,55,,46.0,12.0,101702.0,192.951,maldonado,13.0,Venezuelan,williams,British,2011,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+1 Lap,0.0,0.0,10.0,0.0,96121.0,96956.0,96956.0,39,26,Fine and Dry[1] Air Temp 22 °C (72 °F)[1] Track Temp 32 °C (90 °F) dropping to 26 °C (79 °F)[1],1,0,1,0,0,Race circuit,Clockwise,5.451,56.0,305.066,96121.0,96956.0,96677.66666666669,26,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +6.0,6,6,8.0,56,5834066.0,39.0,10.0,101678.0,192.997,massa,19.0,Brazilian,ferrari,Italian,2011,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,50.0,3.0,0.0,95478.0,95437.0,95145.0,43,30,Fine and Dry[1] Air Temp 22 °C (72 °F)[1] Track Temp 32 °C (90 °F) dropping to 26 °C (79 °F)[1],1,0,1,0,0,Race circuit,Clockwise,5.451,56.0,305.066,95145.0,95478.0,95353.33333333331,25,5,85,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,77.0,76.0,76.0,70.0,71.0 +7.0,14,8,4.0,56,5849252.0,46.0,6.0,101215.0,193.88,michael_schumacher,60.0,German,mercedes,German,2011,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,16.0,5.0,0.0,95508.0,96457.0,96457.0,55,42,Fine and Dry[1] Air Temp 22 °C (72 °F)[1] Track Temp 32 °C (90 °F) dropping to 26 °C (79 °F)[1],1,0,1,0,0,Race circuit,Clockwise,5.451,56.0,305.066,95508.0,96457.0,96140.66666666669,37,5,40,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +17.0,12,17,0.0,55,,39.0,9.0,101643.0,193.063,perez,11.0,Mexican,sauber,Swiss,2011,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+1 Lap,0.0,7.0,6.0,0.0,96046.0,96053.0,96053.0,34,21,Fine and Dry[1] Air Temp 22 °C (72 °F)[1] Track Temp 32 °C (90 °F) dropping to 26 °C (79 °F)[1],1,0,1,0,0,Race circuit,Clockwise,5.451,56.0,305.066,96046.0,96053.0,96050.66666666669,21,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +10.0,10,9,2.0,56,5875630.0,50.0,7.0,101261.0,193.792,petrov,83.0,Russian,renault,French,2011,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,32.0,4.0,0.0,95370.0,95149.0,95149.0,40,27,Fine and Dry[1] Air Temp 22 °C (72 °F)[1] Track Temp 32 °C (90 °F) dropping to 26 °C (79 °F)[1],1,0,1,0,0,Race circuit,Clockwise,5.451,56.0,305.066,95149.0,95370.0,95222.66666666669,26,1,22,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +15.0,8,11,0.0,56,5886983.0,45.0,18.0,102614.0,191.237,resta,95.0,British,force_india,Indian,2011,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,4.0,8.0,0.0,95702.0,95858.0,96190.0,38,25,Fine and Dry[1] Air Temp 22 °C (72 °F)[1] Track Temp 32 °C (90 °F) dropping to 26 °C (79 °F)[1],1,0,1,0,0,Race circuit,Clockwise,5.451,56.0,305.066,95702.0,96190.0,95916.66666666669,25,0,3,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,4,5,10.0,56,5831674.0,41.0,5.0,101166.0,193.974,rosberg,6.0,German,mercedes,German,2011,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,16.0,5.0,0.0,95272.0,95850.0,94670.0,39,26,Fine and Dry[1] Air Temp 22 °C (72 °F)[1] Track Temp 32 °C (90 °F) dropping to 26 °C (79 °F)[1],1,0,1,0,0,Race circuit,Clockwise,5.451,56.0,305.066,94670.0,95850.0,95264.0,21,5,92,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,96.0,84.0,79.0,78.0,77.0 +14.0,11,15,0.0,55,,54.0,4.0,101157.0,193.991,sutil,99.0,German,force_india,Indian,2011,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+1 Lap,0.0,4.0,8.0,0.0,96092.0,95874.0,95874.0,41,28,Fine and Dry[1] Air Temp 22 °C (72 °F)[1] Track Temp 32 °C (90 °F) dropping to 26 °C (79 °F)[1],1,0,1,0,0,Race circuit,Clockwise,5.451,56.0,305.066,95874.0,96092.0,95946.66666666669,24,4,74,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +21.0,20,19,0.0,55,,53.0,14.0,102052.0,192.29,trulli,75.0,Italian,lotus_racing,Malaysian,2011,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+1 Lap,0.0,0.0,9.0,0.0,98318.0,98318.0,98318.0,50,37,Fine and Dry[1] Air Temp 22 °C (72 °F)[1] Track Temp 32 °C (90 °F) dropping to 26 °C (79 °F)[1],1,0,1,0,0,Race circuit,Clockwise,5.451,56.0,305.066,98318.0,98318.0,98318.0,32,5,92,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,96.0,84.0,79.0,78.0,77.0 +1.0,1,2,18.0,56,5823424.0,47.0,8.0,101321.0,193.677,vettel,5.0,German,red_bull,Austrian,2011,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,2.0,105.0,1.0,2.0,95674.0,94776.0,93706.0,37,24,Fine and Dry[1] Air Temp 22 °C (72 °F)[1] Track Temp 32 °C (90 °F) dropping to 26 °C (79 °F)[1],1,0,1,0,0,Race circuit,Clockwise,5.451,56.0,305.066,93706.0,95674.0,94718.66666666669,20,4,65,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +2.0,18,3,15.0,56,5825781.0,42.0,1.0,98993.0,198.232,webber,91.0,Australian,red_bull,Austrian,2011,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,105.0,1.0,2.0,96468.0,96468.0,96468.0,48,35,Fine and Dry[1] Air Temp 22 °C (72 °F)[1] Track Temp 32 °C (90 °F) dropping to 26 °C (79 °F)[1],1,0,1,0,0,Race circuit,Clockwise,5.451,56.0,305.066,96468.0,96468.0,96468.0,30,5,92,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,96.0,84.0,79.0,78.0,77.0 +19.0,17,16,0.0,57,,57.0,2.0,89894.0,213.771,alguersuari,66.0,Spanish,toro_rosso,Italian,2011,4,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,+1 Lap,0.0,6.0,7.0,0.0,88055.0,87572.0,87572.0,34,21,"Sunny, Fine and Dry[2] Air Temp 17 °C (63 °F)[2] Track Temp 35 °C (95 °F) dropping to 30 °C (86 °F)[2]",1,0,1,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,87572.0,88055.0,87733.0,19,2,31,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +5.0,5,3,15.0,58,5427633.0,48.0,6.0,90279.0,212.86,alonso,14.0,Spanish,ferrari,Italian,2011,4,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,0.0,65.0,3.0,0.0,87349.0,86152.0,85851.0,43,30,"Sunny, Fine and Dry[2] Air Temp 17 °C (63 °F)[2] Track Temp 35 °C (95 °F) dropping to 30 °C (86 °F)[2]",1,0,1,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,85851.0,87349.0,86450.66666666667,25,5,93,0,0,0,1,0,1,1,0,0,0,0,0,0,0,0,0,0,0,96.0,84.0,79.0,78.0,77.0 +25.0,23,20,0.0,56,,55.0,23.0,94971.0,202.343,ambrosio,70.0,Belgian,virgin,British,2011,4,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,+2 Laps,0.0,0.0,11.0,0.0,90445.0,90445.0,90445.0,39,26,"Sunny, Fine and Dry[2] Air Temp 17 °C (63 °F)[2] Track Temp 35 °C (95 °F) dropping to 30 °C (86 °F)[2]",1,0,1,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,90445.0,90445.0,90445.0,26,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,11,15,0.0,57,,46.0,17.0,92079.0,208.699,barrichello,96.0,Brazilian,williams,British,2011,4,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,+1 Lap,0.0,0.0,10.0,0.0,88246.0,86764.0,86764.0,52,39,"Sunny, Fine and Dry[2] Air Temp 17 °C (63 °F)[2] Track Temp 35 °C (95 °F) dropping to 30 °C (86 °F)[2]",1,0,1,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,86764.0,88246.0,87258.0,34,5,93,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,96.0,84.0,79.0,78.0,77.0 +18.0,16,9,2.0,58,5486952.0,44.0,14.0,91360.0,210.341,buemi,92.0,Swiss,toro_rosso,Italian,2011,4,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,0.0,6.0,7.0,0.0,87620.0,87255.0,87255.0,36,23,"Sunny, Fine and Dry[2] Air Temp 17 °C (63 °F)[2] Track Temp 35 °C (95 °F) dropping to 30 °C (86 °F)[2]",1,0,1,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,87255.0,87620.0,87376.66666666667,21,2,40,0,0,0,0,0,0,0,1,0,0,0,0,1,1,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +4.0,6,6,8.0,58,5476989.0,47.0,13.0,91167.0,210.786,button,22.0,British,mclaren,British,2011,4,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,0.0,105.0,2.0,1.0,87374.0,86485.0,85982.0,44,31,"Sunny, Fine and Dry[2] Air Temp 17 °C (63 °F)[2] Track Temp 35 °C (95 °F) dropping to 30 °C (86 °F)[2]",1,0,1,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,85982.0,87374.0,86613.66666666667,26,5,93,1,1,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,96.0,84.0,79.0,78.0,77.0 +3.0,4,4,12.0,58,5457790.0,48.0,4.0,90108.0,213.264,hamilton,44.0,British,mclaren,British,2011,4,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,1.0,105.0,2.0,1.0,87091.0,86066.0,85595.0,39,26,"Sunny, Fine and Dry[2] Air Temp 17 °C (63 °F)[2] Track Temp 35 °C (95 °F) dropping to 30 °C (86 °F)[2]",1,0,1,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,85595.0,87091.0,86250.66666666667,22,4,75,2,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +9.0,9,7,6.0,58,5478415.0,52.0,5.0,90158.0,213.145,heidfeld,43.0,German,renault,French,2011,4,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,0.0,42.0,4.0,0.0,87901.0,86740.0,86659.0,47,34,"Sunny, Fine and Dry[2] Air Temp 17 °C (63 °F)[2] Track Temp 35 °C (95 °F) dropping to 30 °C (86 °F)[2]",1,0,1,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,86659.0,87901.0,87100.0,29,5,79,1,0,1,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +16.0,24,10,1.0,58,5495579.0,45.0,10.0,91038.0,211.085,kobayashi,10.0,Japanese,sauber,Swiss,2011,4,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,0.0,8.0,6.0,0.0,91564.0,91564.0,91564.0,38,25,"Sunny, Fine and Dry[2] Air Temp 17 °C (63 °F)[2] Track Temp 35 °C (95 °F) dropping to 30 °C (86 °F)[2]",1,0,1,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,91564.0,91564.0,91564.0,23,2,25,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +20.0,18,19,0.0,56,,55.0,19.0,92695.0,207.312,kovalainen,52.0,Finnish,lotus_racing,Malaysian,2011,4,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,+2 Laps,0.0,0.0,9.0,0.0,88780.0,88780.0,88780.0,43,30,"Sunny, Fine and Dry[2] Air Temp 17 °C (63 °F)[2] Track Temp 35 °C (95 °F) dropping to 30 °C (86 °F)[2]",1,0,1,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,88780.0,88780.0,88780.0,26,4,75,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,1,74.0,75.0,75.0,72.0,71.0 +12.0,14,17,0.0,57,,44.0,15.0,92044.0,208.778,maldonado,13.0,Venezuelan,williams,British,2011,4,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,+1 Lap,0.0,0.0,10.0,0.0,87396.0,87236.0,87236.0,39,26,"Sunny, Fine and Dry[2] Air Temp 17 °C (63 °F)[2] Track Temp 35 °C (95 °F) dropping to 30 °C (86 °F)[2]",1,0,1,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,87236.0,87396.0,87289.33333333333,26,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +6.0,10,11,0.0,58,5497381.0,57.0,11.0,91118.0,210.9,massa,19.0,Brazilian,ferrari,Italian,2011,4,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,0.0,65.0,3.0,0.0,87013.0,86395.0,86395.0,43,30,"Sunny, Fine and Dry[2] Air Temp 17 °C (63 °F)[2] Track Temp 35 °C (95 °F) dropping to 30 °C (86 °F)[2]",1,0,1,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,86395.0,87013.0,86601.0,25,5,86,0,0,0,0,1,1,1,0,0,0,0,0,0,0,0,0,0,0,91.0,83.0,77.0,75.0,75.0 +7.0,8,12,0.0,58,5503002.0,47.0,12.0,91153.0,210.819,michael_schumacher,60.0,German,mercedes,German,2011,4,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,0.0,26.0,5.0,0.0,87697.0,86121.0,86646.0,55,42,"Sunny, Fine and Dry[2] Air Temp 17 °C (63 °F)[2] Track Temp 35 °C (95 °F) dropping to 30 °C (86 °F)[2]",1,0,1,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,86121.0,87697.0,86821.33333333333,37,5,41,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +17.0,15,14,0.0,57,,46.0,9.0,90797.0,211.645,perez,11.0,Mexican,sauber,Swiss,2011,4,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,+1 Lap,0.0,8.0,6.0,0.0,87778.0,87244.0,87244.0,34,21,"Sunny, Fine and Dry[2] Air Temp 17 °C (63 °F)[2] Track Temp 35 °C (95 °F) dropping to 30 °C (86 °F)[2]",1,0,1,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,87244.0,87778.0,87422.0,21,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +10.0,7,8,4.0,58,5485726.0,48.0,8.0,90618.0,212.063,petrov,83.0,Russian,renault,French,2011,4,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,0.0,42.0,4.0,0.0,87475.0,86654.0,86296.0,40,27,"Sunny, Fine and Dry[2] Air Temp 17 °C (63 °F)[2] Track Temp 35 °C (95 °F) dropping to 30 °C (86 °F)[2]",1,0,1,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,86296.0,87475.0,86808.33333333333,26,1,23,1,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +8.0,3,5,10.0,58,5465097.0,47.0,7.0,90573.0,212.169,rosberg,6.0,German,mercedes,German,2011,4,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,0.0,26.0,5.0,0.0,87514.0,85801.0,85574.0,39,26,"Sunny, Fine and Dry[2] Air Temp 17 °C (63 °F)[2] Track Temp 35 °C (95 °F) dropping to 30 °C (86 °F)[2]",1,0,1,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,85574.0,87514.0,86296.33333333333,21,5,93,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,96.0,84.0,79.0,78.0,77.0 +14.0,12,13,0.0,57,,43.0,16.0,92070.0,208.719,sutil,99.0,German,force_india,Indian,2011,4,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,+1 Lap,0.0,4.0,8.0,0.0,87392.0,87027.0,87027.0,41,28,"Sunny, Fine and Dry[2] Air Temp 17 °C (63 °F)[2] Track Temp 35 °C (95 °F) dropping to 30 °C (86 °F)[2]",1,0,1,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,87027.0,87392.0,87148.66666666667,24,4,75,0,0,0,0,0,0,0,0,1,0,1,0,0,0,1,0,0,0,74.0,75.0,75.0,72.0,71.0 +21.0,19,18,0.0,57,,49.0,20.0,92862.0,206.939,trulli,75.0,Italian,lotus_racing,Malaysian,2011,4,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,+1 Lap,0.0,0.0,9.0,0.0,89673.0,89673.0,89673.0,50,37,"Sunny, Fine and Dry[2] Air Temp 17 °C (63 °F)[2] Track Temp 35 °C (95 °F) dropping to 30 °C (86 °F)[2]",1,0,1,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,89673.0,89673.0,89673.0,32,5,93,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,96.0,84.0,79.0,78.0,77.0 +1.0,1,1,25.0,58,5417558.0,50.0,3.0,89937.0,213.669,vettel,5.0,German,red_bull,Austrian,2011,4,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,2.0,148.0,1.0,3.0,87039.0,85610.0,85049.0,37,24,"Sunny, Fine and Dry[2] Air Temp 17 °C (63 °F)[2] Track Temp 35 °C (95 °F) dropping to 30 °C (86 °F)[2]",1,0,1,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,85049.0,87039.0,85899.33333333333,20,4,66,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +2.0,2,2,18.0,58,5426365.0,48.0,1.0,89703.0,214.226,webber,91.0,Australian,red_bull,Austrian,2011,4,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,0.0,148.0,1.0,3.0,87090.0,86075.0,85454.0,48,35,"Sunny, Fine and Dry[2] Air Temp 17 °C (63 °F)[2] Track Temp 35 °C (95 °F) dropping to 30 °C (86 °F)[2]",1,0,1,0,0,Race circuit,Anti-clockwise,5.338,58.0,309.396,85454.0,87090.0,86206.33333333333,30,5,93,1,0,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,96.0,84.0,79.0,78.0,77.0 +19.0,13,16,0.0,64,,52.0,12.0,89132.0,188.013,alguersuari,66.0,Spanish,toro_rosso,Italian,2011,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+2 Laps,0.0,6.0,7.0,0.0,84049.0,83694.0,83694.0,34,21,"Mainly sunny, Fine and Dry[3][4] Air Temp 27 °C (81 °F)[4] Track Temp 33 °C (91 °F) to 44 °C (111 °F)[4]",1,0,1,0,0,Race circuit,Clockwise,4.657,66.0,307.236,83694.0,84049.0,83812.33333333333,19,2,32,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +5.0,4,5,10.0,65,,22.0,9.0,88737.0,188.85,alonso,14.0,Spanish,ferrari,Italian,2011,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,75.0,3.0,0.0,83485.0,82813.0,81964.0,43,30,"Mainly sunny, Fine and Dry[3][4] Air Temp 27 °C (81 °F)[4] Track Temp 33 °C (91 °F) to 44 °C (111 °F)[4]",1,0,1,0,0,Race circuit,Clockwise,4.657,66.0,307.236,81964.0,83485.0,82754.0,25,5,94,1,0,1,1,0,1,1,0,0,0,0,0,0,0,0,0,0,0,96.0,84.0,79.0,78.0,77.0 +25.0,23,20,0.0,62,,36.0,22.0,92549.0,181.071,ambrosio,70.0,Belgian,virgin,British,2011,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+4 Laps,0.0,0.0,11.0,0.0,88556.0,88556.0,88556.0,39,26,"Mainly sunny, Fine and Dry[3][4] Air Temp 27 °C (81 °F)[4] Track Temp 33 °C (91 °F) to 44 °C (111 °F)[4]",1,0,1,0,0,Race circuit,Clockwise,4.657,66.0,307.236,88556.0,88556.0,88556.0,26,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,19,17,0.0,64,,60.0,2.0,86891.0,192.862,barrichello,96.0,Brazilian,williams,British,2011,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+2 Laps,0.0,0.0,9.0,0.0,86910.0,86910.0,86910.0,52,39,"Mainly sunny, Fine and Dry[3][4] Air Temp 27 °C (81 °F)[4] Track Temp 33 °C (91 °F) to 44 °C (111 °F)[4]",1,0,1,0,0,Race circuit,Clockwise,4.657,66.0,307.236,86910.0,86910.0,86910.0,34,5,94,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,1,0,0,96.0,84.0,79.0,78.0,77.0 +18.0,11,14,0.0,65,,27.0,18.0,90049.0,186.098,buemi,92.0,Swiss,toro_rosso,Italian,2011,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,6.0,7.0,0.0,83962.0,83231.0,83231.0,36,23,"Mainly sunny, Fine and Dry[3][4] Air Temp 27 °C (81 °F)[4] Track Temp 33 °C (91 °F) to 44 °C (111 °F)[4]",1,0,1,0,0,Race circuit,Clockwise,4.657,66.0,307.236,83231.0,83962.0,83474.66666666667,21,2,41,0,0,0,0,0,0,0,1,1,0,0,0,1,1,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +4.0,5,3,15.0,66,5978998.0,63.0,7.0,87518.0,191.48,button,22.0,British,mclaren,British,2011,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,138.0,2.0,1.0,84428.0,82050.0,81996.0,44,31,"Mainly sunny, Fine and Dry[3][4] Air Temp 27 °C (81 °F)[4] Track Temp 33 °C (91 °F) to 44 °C (111 °F)[4]",1,0,1,0,0,Race circuit,Clockwise,4.657,66.0,307.236,81996.0,84428.0,82824.66666666667,26,5,94,1,1,0,1,0,2,0,0,0,0,0,0,0,0,0,0,0,0,96.0,84.0,79.0,78.0,77.0 +24.0,20,19,0.0,63,,40.0,21.0,91635.0,182.877,glock,65.0,German,virgin,British,2011,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+3 Laps,0.0,0.0,11.0,0.0,87315.0,87315.0,87315.0,42,29,"Mainly sunny, Fine and Dry[3][4] Air Temp 27 °C (81 °F)[4] Track Temp 33 °C (91 °F) to 44 °C (111 °F)[4]",1,0,1,0,0,Race circuit,Clockwise,4.657,66.0,307.236,87315.0,87315.0,87315.0,26,3,57,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,72.0,76.0,76.0,76.0,74.0 +3.0,3,2,18.0,66,5943931.0,52.0,1.0,86727.0,193.227,hamilton,44.0,British,mclaren,British,2011,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,1.0,138.0,2.0,1.0,84370.0,82148.0,81961.0,39,26,"Mainly sunny, Fine and Dry[3][4] Air Temp 27 °C (81 °F)[4] Track Temp 33 °C (91 °F) to 44 °C (111 °F)[4]",1,0,1,0,0,Race circuit,Clockwise,4.657,66.0,307.236,81961.0,84370.0,82826.33333333333,22,4,76,2,1,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +9.0,24,8,4.0,65,,61.0,3.0,86958.0,192.713,heidfeld,43.0,German,renault,French,2011,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,46.0,4.0,0.0,88556.0,88556.0,88556.0,47,34,"Mainly sunny, Fine and Dry[3][4] Air Temp 27 °C (81 °F)[4] Track Temp 33 °C (91 °F) to 44 °C (111 °F)[4]",1,0,1,0,0,Race circuit,Clockwise,4.657,66.0,307.236,88556.0,88556.0,88556.0,29,5,80,1,0,1,0,0,0,1,0,0,0,0,2,0,0,0,0,0,0,77.0,76.0,76.0,70.0,71.0 +16.0,14,10,1.0,65,,52.0,8.0,87615.0,191.268,kobayashi,10.0,Japanese,sauber,Swiss,2011,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,11.0,6.0,0.0,83656.0,83702.0,83702.0,38,25,"Mainly sunny, Fine and Dry[3][4] Air Temp 27 °C (81 °F)[4] Track Temp 33 °C (91 °F) to 44 °C (111 °F)[4]",1,0,1,0,0,Race circuit,Clockwise,4.657,66.0,307.236,83656.0,83702.0,83686.66666666667,23,2,26,0,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +12.0,9,15,0.0,65,,64.0,14.0,89391.0,187.468,maldonado,13.0,Venezuelan,williams,British,2011,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,0.0,9.0,0.0,83406.0,82854.0,82952.0,39,26,"Mainly sunny, Fine and Dry[3][4] Air Temp 27 °C (81 °F)[4] Track Temp 33 °C (91 °F) to 44 °C (111 °F)[4]",1,0,1,0,0,Race circuit,Clockwise,4.657,66.0,307.236,82854.0,83406.0,83070.66666666667,26,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,58.0,72.0,78.0,73.0,72.0 +7.0,10,6,8.0,65,,34.0,15.0,89463.0,187.317,michael_schumacher,60.0,German,mercedes,German,2011,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,40.0,5.0,0.0,82960.0,82671.0,82671.0,55,42,"Mainly sunny, Fine and Dry[3][4] Air Temp 27 °C (81 °F)[4] Track Temp 33 °C (91 °F) to 44 °C (111 °F)[4]",1,0,1,0,0,Race circuit,Clockwise,4.657,66.0,307.236,82671.0,82960.0,82767.33333333333,37,5,42,0,0,0,0,0,0,0,1,1,0,0,1,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +17.0,12,9,2.0,65,,55.0,6.0,87247.0,192.075,perez,11.0,Mexican,sauber,Swiss,2011,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,11.0,6.0,0.0,84209.0,83367.0,83367.0,34,21,"Mainly sunny, Fine and Dry[3][4] Air Temp 27 °C (81 °F)[4] Track Temp 33 °C (91 °F) to 44 °C (111 °F)[4]",1,0,1,0,0,Race circuit,Clockwise,4.657,66.0,307.236,83367.0,84209.0,83647.66666666667,21,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +10.0,6,11,0.0,65,,35.0,17.0,89592.0,187.047,petrov,83.0,Russian,renault,French,2011,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,46.0,4.0,0.0,83069.0,82948.0,82471.0,40,27,"Mainly sunny, Fine and Dry[3][4] Air Temp 27 °C (81 °F)[4] Track Temp 33 °C (91 °F) to 44 °C (111 °F)[4]",1,0,1,0,0,Race circuit,Clockwise,4.657,66.0,307.236,82471.0,83069.0,82829.33333333333,26,1,24,1,0,1,0,0,0,0,1,1,0,0,0,0,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +15.0,16,12,0.0,65,,42.0,16.0,89469.0,187.305,resta,95.0,British,force_india,Indian,2011,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,4.0,8.0,0.0,84332.0,86126.0,86126.0,38,25,"Mainly sunny, Fine and Dry[3][4] Air Temp 27 °C (81 °F)[4] Track Temp 33 °C (91 °F) to 44 °C (111 °F)[4]",1,0,1,0,0,Race circuit,Clockwise,4.657,66.0,307.236,84332.0,86126.0,85528.0,25,0,5,0,0,0,0,0,0,0,0,0,2,1,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,7,7,6.0,65,,34.0,13.0,89155.0,187.964,rosberg,6.0,German,mercedes,German,2011,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,40.0,5.0,0.0,83507.0,82569.0,82599.0,39,26,"Mainly sunny, Fine and Dry[3][4] Air Temp 27 °C (81 °F)[4] Track Temp 33 °C (91 °F) to 44 °C (111 °F)[4]",1,0,1,0,0,Race circuit,Clockwise,4.657,66.0,307.236,82569.0,83507.0,82891.66666666667,21,5,94,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,1,0,96.0,84.0,79.0,78.0,77.0 +14.0,17,13,0.0,65,,52.0,10.0,88791.0,188.735,sutil,99.0,German,force_india,Indian,2011,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,4.0,8.0,0.0,84648.0,86571.0,86571.0,41,28,"Mainly sunny, Fine and Dry[3][4] Air Temp 27 °C (81 °F)[4] Track Temp 33 °C (91 °F) to 44 °C (111 °F)[4]",1,0,1,0,0,Race circuit,Clockwise,4.657,66.0,307.236,84648.0,86571.0,85930.0,24,4,76,0,0,0,0,0,0,0,0,1,0,1,0,1,0,1,0,0,0,74.0,75.0,75.0,72.0,71.0 +21.0,18,18,0.0,64,,34.0,20.0,90783.0,184.594,trulli,75.0,Italian,lotus_racing,Malaysian,2011,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+2 Laps,0.0,0.0,10.0,0.0,86521.0,86521.0,86521.0,50,37,"Mainly sunny, Fine and Dry[3][4] Air Temp 27 °C (81 °F)[4] Track Temp 33 °C (91 °F) to 44 °C (111 °F)[4]",1,0,1,0,0,Race circuit,Clockwise,4.657,66.0,307.236,86521.0,86521.0,86521.0,32,5,94,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,96.0,84.0,79.0,78.0,77.0 +1.0,2,1,25.0,66,5943301.0,60.0,4.0,87162.0,192.262,vettel,5.0,German,red_bull,Austrian,2011,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,3.0,185.0,1.0,4.0,84142.0,81540.0,81181.0,37,24,"Mainly sunny, Fine and Dry[3][4] Air Temp 27 °C (81 °F)[4] Track Temp 33 °C (91 °F) to 44 °C (111 °F)[4]",1,0,1,0,0,Race circuit,Clockwise,4.657,66.0,307.236,81181.0,84142.0,82287.66666666667,20,4,67,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +2.0,1,4,12.0,66,5991267.0,50.0,5.0,87187.0,192.207,webber,91.0,Australian,red_bull,Austrian,2011,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,185.0,1.0,4.0,83619.0,81773.0,80981.0,48,35,"Mainly sunny, Fine and Dry[3][4] Air Temp 27 °C (81 °F)[4] Track Temp 33 °C (91 °F) to 44 °C (111 °F)[4]",1,0,1,0,0,Race circuit,Clockwise,4.657,66.0,307.236,80981.0,83619.0,82124.33333333333,30,5,94,2,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,96.0,84.0,79.0,78.0,77.0 +5.0,4,2,18.0,78,7779511.0,77.0,4.0,76471.0,157.236,alonso,14.0,Spanish,ferrari,Italian,2011,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,93.0,3.0,0.0,76051.0,74569.0,74483.0,43,30,"Sunny, Fine and Dry[2]Air Temp 24 °C (75 °F)[2]Track Temp 44 °C (111 °F)[2]",1,0,1,0,0,Street circuit,Clockwise,3.337,78.0,260.286,74483.0,76051.0,75034.33333333333,25,5,95,1,0,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,96.0,84.0,79.0,78.0,77.0 +25.0,21,15,0.0,75,,75.0,20.0,81391.0,147.731,ambrosio,70.0,Belgian,virgin,British,2011,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+3 Laps,0.0,0.0,11.0,0.0,78736.0,78736.0,78736.0,39,26,"Sunny, Fine and Dry[2]Air Temp 24 °C (75 °F)[2]Track Temp 44 °C (111 °F)[2]",1,0,1,0,0,Street circuit,Clockwise,3.337,78.0,260.286,78736.0,78736.0,78736.0,26,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,11,9,2.0,77,,76.0,8.0,78584.0,153.008,barrichello,96.0,Brazilian,williams,British,2011,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,2.0,9.0,0.0,76616.0,75826.0,75826.0,52,39,"Sunny, Fine and Dry[2]Air Temp 24 °C (75 °F)[2]Track Temp 44 °C (111 °F)[2]",1,0,1,0,0,Street circuit,Clockwise,3.337,78.0,260.286,75826.0,76616.0,76089.33333333333,34,5,95,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,1,1,0,96.0,84.0,79.0,78.0,77.0 +18.0,16,10,1.0,77,,77.0,12.0,78832.0,152.526,buemi,92.0,Swiss,toro_rosso,Italian,2011,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,7.0,8.0,0.0,76358.0,76300.0,76300.0,36,23,"Sunny, Fine and Dry[2]Air Temp 24 °C (75 °F)[2]Track Temp 44 °C (111 °F)[2]",1,0,1,0,0,Street circuit,Clockwise,3.337,78.0,260.286,76300.0,76358.0,76319.33333333333,21,2,42,0,0,0,0,0,0,0,1,1,0,0,0,1,2,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +4.0,2,3,15.0,78,7780751.0,78.0,3.0,76463.0,157.252,button,22.0,British,mclaren,British,2011,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,161.0,2.0,1.0,75397.0,74545.0,73997.0,44,31,"Sunny, Fine and Dry[2]Air Temp 24 °C (75 °F)[2]Track Temp 44 °C (111 °F)[2]",1,0,1,0,0,Street circuit,Clockwise,3.337,78.0,260.286,73997.0,75397.0,74646.33333333333,26,5,95,2,1,1,1,0,2,0,0,0,0,0,0,0,0,0,0,0,0,96.0,84.0,79.0,78.0,77.0 +3.0,9,6,8.0,78,7805583.0,54.0,5.0,77847.0,154.456,hamilton,44.0,British,mclaren,British,2011,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,1.0,161.0,2.0,1.0,75207.0,74275.0,75280.0,39,26,"Sunny, Fine and Dry[2]Air Temp 24 °C (75 °F)[2]Track Temp 44 °C (111 °F)[2]",1,0,1,0,0,Street circuit,Clockwise,3.337,78.0,260.286,74275.0,75280.0,74920.66666666667,22,4,77,3,2,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +9.0,15,8,4.0,77,,77.0,6.0,77857.0,154.436,heidfeld,43.0,German,renault,French,2011,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,50.0,4.0,0.0,76681.0,76214.0,76214.0,47,34,"Sunny, Fine and Dry[2]Air Temp 24 °C (75 °F)[2]Track Temp 44 °C (111 °F)[2]",1,0,1,0,0,Street circuit,Clockwise,3.337,78.0,260.286,76214.0,76681.0,76369.66666666667,29,5,81,1,0,1,0,0,0,1,1,0,0,0,2,0,0,0,0,0,0,77.0,76.0,76.0,70.0,71.0 +22.0,22,17,0.0,74,,74.0,23.0,82731.0,145.338,karthikeyan,56.0,Indian,hrt,Spanish,2011,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+4 Laps,0.0,0.0,12.0,0.0,78736.0,78736.0,78736.0,47,34,"Sunny, Fine and Dry[2]Air Temp 24 °C (75 °F)[2]Track Temp 44 °C (111 °F)[2]",1,0,1,0,0,Street circuit,Clockwise,3.337,78.0,260.286,78736.0,78736.0,78736.0,34,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +16.0,12,5,10.0,78,7805289.0,76.0,7.0,78308.0,153.547,kobayashi,10.0,Japanese,sauber,Swiss,2011,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,21.0,6.0,0.0,76513.0,75973.0,75973.0,38,25,"Sunny, Fine and Dry[2]Air Temp 24 °C (75 °F)[2]Track Temp 44 °C (111 °F)[2]",1,0,1,0,0,Street circuit,Clockwise,3.337,78.0,260.286,75973.0,76513.0,76153.0,23,2,27,0,0,0,0,0,0,1,0,0,3,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +20.0,17,14,0.0,76,,54.0,18.0,80678.0,149.036,kovalainen,52.0,Finnish,lotus_racing,Malaysian,2011,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+2 Laps,0.0,0.0,10.0,0.0,77343.0,77343.0,77343.0,43,30,"Sunny, Fine and Dry[2]Air Temp 24 °C (75 °F)[2]Track Temp 44 °C (111 °F)[2]",1,0,1,0,0,Street circuit,Clockwise,3.337,78.0,260.286,77343.0,77343.0,77343.0,26,4,77,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,1,74.0,75.0,75.0,72.0,71.0 +23.0,23,16,0.0,75,,74.0,21.0,81566.0,147.414,liuzzi,29.0,Italian,hrt,Spanish,2011,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+3 Laps,0.0,0.0,12.0,0.0,78736.0,78736.0,78736.0,44,31,"Sunny, Fine and Dry[2]Air Temp 24 °C (75 °F)[2]Track Temp 44 °C (111 °F)[2]",1,0,1,0,0,Street circuit,Clockwise,3.337,78.0,260.286,78736.0,78736.0,78736.0,26,5,65,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,72.0,76.0,76.0,76.0,74.0 +15.0,13,12,0.0,76,,75.0,11.0,78724.0,152.736,resta,95.0,British,force_india,Indian,2011,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+2 Laps,0.0,10.0,7.0,0.0,76813.0,76118.0,76118.0,38,25,"Sunny, Fine and Dry[2]Air Temp 24 °C (75 °F)[2]Track Temp 44 °C (111 °F)[2]",1,0,1,0,0,Street circuit,Clockwise,3.337,78.0,260.286,76118.0,76813.0,76349.66666666667,25,0,6,0,0,0,0,0,0,0,0,0,2,1,1,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,7,11,0.0,76,,56.0,10.0,78699.0,152.784,rosberg,6.0,German,mercedes,German,2011,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+2 Laps,0.0,40.0,5.0,0.0,75858.0,74741.0,75766.0,39,26,"Sunny, Fine and Dry[2]Air Temp 24 °C (75 °F)[2]Track Temp 44 °C (111 °F)[2]",1,0,1,0,0,Street circuit,Clockwise,3.337,78.0,260.286,74741.0,75858.0,75455.0,21,5,95,0,0,0,0,2,0,1,0,0,0,0,1,0,0,0,0,1,0,96.0,84.0,79.0,78.0,77.0 +14.0,14,7,6.0,77,,77.0,13.0,78872.0,152.449,sutil,99.0,German,force_india,Indian,2011,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,10.0,7.0,0.0,76600.0,76121.0,76121.0,41,28,"Sunny, Fine and Dry[2]Air Temp 24 °C (75 °F)[2]Track Temp 44 °C (111 °F)[2]",1,0,1,0,0,Street circuit,Clockwise,3.337,78.0,260.286,76121.0,76600.0,76280.66666666667,24,4,77,0,0,0,0,0,0,0,0,1,0,1,0,2,0,1,0,0,0,74.0,75.0,75.0,72.0,71.0 +21.0,18,13,0.0,76,,66.0,19.0,81277.0,147.938,trulli,75.0,Italian,lotus_racing,Malaysian,2011,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+2 Laps,0.0,0.0,10.0,0.0,77381.0,77381.0,77381.0,50,37,"Sunny, Fine and Dry[2]Air Temp 24 °C (75 °F)[2]Track Temp 44 °C (111 °F)[2]",1,0,1,0,0,Street circuit,Clockwise,3.337,78.0,260.286,77381.0,77381.0,77381.0,32,5,95,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,2,96.0,84.0,79.0,78.0,77.0 +1.0,1,1,25.0,78,7778373.0,78.0,2.0,76267.0,157.656,vettel,5.0,German,red_bull,Austrian,2011,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,4.0,222.0,1.0,5.0,75606.0,74277.0,73556.0,37,24,"Sunny, Fine and Dry[2]Air Temp 24 °C (75 °F)[2]Track Temp 44 °C (111 °F)[2]",1,0,1,0,0,Street circuit,Clockwise,3.337,78.0,260.286,73556.0,75606.0,74479.66666666667,20,4,68,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +2.0,3,4,12.0,78,7801474.0,78.0,1.0,76234.0,157.724,webber,91.0,Australian,red_bull,Austrian,2011,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,222.0,1.0,5.0,76087.0,74742.0,74019.0,48,35,"Sunny, Fine and Dry[2]Air Temp 24 °C (75 °F)[2]Track Temp 44 °C (111 °F)[2]",1,0,1,0,0,Street circuit,Clockwise,3.337,78.0,260.286,74019.0,76087.0,74949.33333333333,30,5,95,2,1,1,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,96.0,84.0,79.0,78.0,77.0 +19.0,24,8,4.0,70,14715501.0,69.0,13.0,80371.0,195.339,alguersuari,66.0,Spanish,toro_rosso,Italian,2011,7,Canadian Grand Prix,61200000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,12.0,7.0,0.0,76294.0,76294.0,76294.0,34,21,"Wet at start, very heavy rain later, after rain stops, track drying towards the end. Temperatures up to 27 °C (81 °F); wind speeds up to 12 kilometres per hour (7.5 mph)[2]",0,0,1,1,0,Street circuit,Clockwise,4.361,70.0,305.27,76294.0,76294.0,76294.0,19,2,34,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,2,0,0,58.0,72.0,78.0,73.0,72.0 +25.0,23,15,0.0,69,,68.0,15.0,82495.0,190.309,ambrosio,70.0,Belgian,virgin,British,2011,7,Canadian Grand Prix,61200000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,0.0,12.0,0.0,79414.0,79414.0,79414.0,39,26,"Wet at start, very heavy rain later, after rain stops, track drying towards the end. Temperatures up to 27 °C (81 °F); wind speeds up to 12 kilometres per hour (7.5 mph)[2]",0,0,1,1,0,Street circuit,Clockwise,4.361,70.0,305.27,79414.0,79414.0,79414.0,26,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,16,9,2.0,70,14724654.0,68.0,11.0,80316.0,195.472,barrichello,96.0,Brazilian,williams,British,2011,7,Canadian Grand Prix,61200000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,4.0,9.0,0.0,75331.0,75361.0,75361.0,52,39,"Wet at start, very heavy rain later, after rain stops, track drying towards the end. Temperatures up to 27 °C (81 °F); wind speeds up to 12 kilometres per hour (7.5 mph)[2]",0,0,1,1,0,Street circuit,Clockwise,4.361,70.0,305.27,75331.0,75361.0,75351.0,34,5,96,0,0,0,0,0,0,0,0,1,0,0,0,1,0,1,1,1,0,96.0,84.0,79.0,78.0,77.0 +18.0,15,10,1.0,70,14726593.0,69.0,7.0,79507.0,197.461,buemi,92.0,Swiss,toro_rosso,Italian,2011,7,Canadian Grand Prix,61200000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,12.0,7.0,0.0,75901.0,75334.0,75334.0,36,23,"Wet at start, very heavy rain later, after rain stops, track drying towards the end. Temperatures up to 27 °C (81 °F); wind speeds up to 12 kilometres per hour (7.5 mph)[2]",0,0,1,1,0,Street circuit,Clockwise,4.361,70.0,305.27,75334.0,75901.0,75523.0,21,2,43,0,0,0,0,0,0,0,1,1,1,0,0,1,2,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +4.0,7,1,25.0,70,14679537.0,69.0,1.0,76956.0,204.007,button,22.0,British,mclaren,British,2011,7,Canadian Grand Prix,61200000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,186.0,2.0,2.0,74374.0,73955.0,73838.0,44,31,"Wet at start, very heavy rain later, after rain stops, track drying towards the end. Temperatures up to 27 °C (81 °F); wind speeds up to 12 kilometres per hour (7.5 mph)[2]",0,0,1,1,0,Street circuit,Clockwise,4.361,70.0,305.27,73838.0,74374.0,74055.66666666667,26,5,96,3,1,2,1,0,2,0,0,0,0,0,0,0,0,0,0,0,0,96.0,84.0,79.0,78.0,77.0 +24.0,21,16,0.0,69,,68.0,19.0,84590.0,185.596,glock,65.0,German,virgin,British,2011,7,Canadian Grand Prix,61200000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,0.0,12.0,0.0,78537.0,78537.0,78537.0,42,29,"Wet at start, very heavy rain later, after rain stops, track drying towards the end. Temperatures up to 27 °C (81 °F); wind speeds up to 12 kilometres per hour (7.5 mph)[2]",0,0,1,1,0,Street circuit,Clockwise,4.361,70.0,305.27,78537.0,78537.0,78537.0,26,3,59,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,72.0,76.0,76.0,76.0,74.0 +22.0,22,14,0.0,69,,66.0,16.0,83116.0,188.887,karthikeyan,56.0,Indian,hrt,Spanish,2011,7,Canadian Grand Prix,61200000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,0.0,11.0,0.0,78574.0,78574.0,78574.0,47,34,"Wet at start, very heavy rain later, after rain stops, track drying towards the end. Temperatures up to 27 °C (81 °F); wind speeds up to 12 kilometres per hour (7.5 mph)[2]",0,0,1,1,0,Street circuit,Clockwise,4.361,70.0,305.27,78574.0,78574.0,78574.0,34,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +16.0,13,7,6.0,70,14712807.0,70.0,10.0,80213.0,195.723,kobayashi,10.0,Japanese,sauber,Swiss,2011,7,Canadian Grand Prix,61200000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,27.0,6.0,0.0,75694.0,75285.0,75285.0,38,25,"Wet at start, very heavy rain later, after rain stops, track drying towards the end. Temperatures up to 27 °C (81 °F); wind speeds up to 12 kilometres per hour (7.5 mph)[2]",0,0,1,1,0,Street circuit,Clockwise,4.361,70.0,305.27,75285.0,75694.0,75421.33333333333,23,2,28,0,0,0,0,1,0,1,0,0,3,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +23.0,20,13,0.0,69,,63.0,17.0,83419.0,188.201,liuzzi,29.0,Italian,hrt,Spanish,2011,7,Canadian Grand Prix,61200000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,0.0,11.0,0.0,78424.0,78424.0,78424.0,44,31,"Wet at start, very heavy rain later, after rain stops, track drying towards the end. Temperatures up to 27 °C (81 °F); wind speeds up to 12 kilometres per hour (7.5 mph)[2]",0,0,1,1,0,Street circuit,Clockwise,4.361,70.0,305.27,78424.0,78424.0,78424.0,26,5,66,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,72.0,76.0,76.0,76.0,74.0 +6.0,3,6,8.0,70,14712762.0,68.0,5.0,79148.0,198.357,massa,19.0,Brazilian,ferrari,Italian,2011,7,Canadian Grand Prix,61200000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,101.0,3.0,0.0,74026.0,73431.0,73217.0,43,30,"Wet at start, very heavy rain later, after rain stops, track drying towards the end. Temperatures up to 27 °C (81 °F); wind speeds up to 12 kilometres per hour (7.5 mph)[2]",0,0,1,1,0,Street circuit,Clockwise,4.361,70.0,305.27,73217.0,74026.0,73558.0,25,5,89,0,0,0,0,1,1,1,0,0,0,1,0,0,0,0,0,0,0,91.0,83.0,77.0,75.0,75.0 +7.0,8,4,12.0,70,14693756.0,70.0,4.0,79138.0,198.382,michael_schumacher,60.0,German,mercedes,German,2011,7,Canadian Grand Prix,61200000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,52.0,5.0,0.0,74970.0,74242.0,73864.0,55,42,"Wet at start, very heavy rain later, after rain stops, track drying towards the end. Temperatures up to 27 °C (81 °F); wind speeds up to 12 kilometres per hour (7.5 mph)[2]",0,0,1,1,0,Street circuit,Clockwise,4.361,70.0,305.27,73864.0,74970.0,74358.66666666667,37,5,44,0,0,0,0,0,1,0,1,1,0,0,1,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +10.0,10,5,10.0,70,14699932.0,68.0,3.0,79054.0,198.593,petrov,83.0,Russian,renault,French,2011,7,Canadian Grand Prix,61200000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,60.0,4.0,0.0,74699.0,74354.0,74085.0,40,27,"Wet at start, very heavy rain later, after rain stops, track drying towards the end. Temperatures up to 27 °C (81 °F); wind speeds up to 12 kilometres per hour (7.5 mph)[2]",0,0,1,1,0,Street circuit,Clockwise,4.361,70.0,305.27,74085.0,74699.0,74379.33333333333,26,1,26,1,0,1,0,0,0,0,1,1,0,1,0,0,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +17.0,17,12,0.0,70,14743144.0,70.0,12.0,80369.0,195.343,rosa,82.0,Spanish,sauber,Swiss,2011,7,Canadian Grand Prix,61200000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,27.0,6.0,0.0,76229.0,75587.0,75587.0,53,40,"Wet at start, very heavy rain later, after rain stops, track drying towards the end. Temperatures up to 27 °C (81 °F); wind speeds up to 12 kilometres per hour (7.5 mph)[2]",0,0,1,1,0,Street circuit,Clockwise,4.361,70.0,305.27,75587.0,76229.0,75801.0,35,5,23,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,6,11,0.0,70,14729991.0,69.0,9.0,80071.0,196.07,rosberg,6.0,German,mercedes,German,2011,7,Canadian Grand Prix,61200000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,52.0,5.0,0.0,74920.0,73950.0,73814.0,39,26,"Wet at start, very heavy rain later, after rain stops, track drying towards the end. Temperatures up to 27 °C (81 °F); wind speeds up to 12 kilometres per hour (7.5 mph)[2]",0,0,1,1,0,Street circuit,Clockwise,4.361,70.0,305.27,73814.0,74920.0,74228.0,21,5,96,0,0,0,0,2,0,1,0,0,0,1,1,0,0,0,0,1,0,96.0,84.0,79.0,78.0,77.0 +21.0,18,17,0.0,69,,67.0,14.0,82233.0,190.916,trulli,75.0,Italian,lotus_racing,Malaysian,2011,7,Canadian Grand Prix,61200000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,0.0,10.0,0.0,76745.0,76745.0,76745.0,50,37,"Wet at start, very heavy rain later, after rain stops, track drying towards the end. Temperatures up to 27 °C (81 °F); wind speeds up to 12 kilometres per hour (7.5 mph)[2]",0,0,1,1,0,Street circuit,Clockwise,4.361,70.0,305.27,76745.0,76745.0,76745.0,32,5,96,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,2,96.0,84.0,79.0,78.0,77.0 +1.0,1,2,18.0,70,14682246.0,69.0,2.0,77217.0,203.317,vettel,5.0,German,red_bull,Austrian,2011,7,Canadian Grand Prix,61200000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,5.0,255.0,1.0,5.0,74011.0,73486.0,73014.0,37,24,"Wet at start, very heavy rain later, after rain stops, track drying towards the end. Temperatures up to 27 °C (81 °F); wind speeds up to 12 kilometres per hour (7.5 mph)[2]",0,0,1,1,0,Street circuit,Clockwise,4.361,70.0,305.27,73014.0,74011.0,73503.66666666667,20,4,69,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +2.0,4,3,15.0,70,14693365.0,65.0,8.0,79572.0,197.3,webber,91.0,Australian,red_bull,Austrian,2011,7,Canadian Grand Prix,61200000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,255.0,1.0,5.0,74375.0,73654.0,73429.0,48,35,"Wet at start, very heavy rain later, after rain stops, track drying towards the end. Temperatures up to 27 °C (81 °F); wind speeds up to 12 kilometres per hour (7.5 mph)[2]",0,0,1,1,0,Street circuit,Clockwise,4.361,70.0,305.27,73429.0,74375.0,73819.33333333333,30,5,96,2,1,1,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,96.0,84.0,79.0,78.0,77.0 +19.0,18,8,4.0,56,,53.0,11.0,103579.0,188.343,alguersuari,66.0,Spanish,toro_rosso,Italian,2011,8,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,+1 Lap,0.0,16.0,7.0,0.0,100232.0,100232.0,100232.0,34,21,"Clear, Fine and Dry[1][2]Air Temp 27 °C (81 °F)[2]Track Temp 47 °C (117 °F)[2]",1,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,100232.0,100232.0,100232.0,19,2,35,0,0,0,0,0,0,0,1,0,0,1,0,0,1,0,2,0,0,58.0,72.0,78.0,73.0,72.0 +5.0,4,2,18.0,57,5987060.0,49.0,2.0,102308.0,190.683,alonso,14.0,Spanish,ferrari,Italian,2011,8,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,Finished,0.0,129.0,3.0,0.0,99725.0,97930.0,97454.0,43,30,"Clear, Fine and Dry[1][2]Air Temp 27 °C (81 °F)[2]Track Temp 47 °C (117 °F)[2]",1,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,97454.0,99725.0,98369.66666666669,25,5,97,2,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,100.0,83.0,81.0,81.0,78.0 +11.0,13,12,0.0,56,,55.0,17.0,104131.0,187.344,barrichello,96.0,Brazilian,williams,British,2011,8,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,+1 Lap,0.0,4.0,9.0,0.0,99602.0,99489.0,99489.0,52,39,"Clear, Fine and Dry[1][2]Air Temp 27 °C (81 °F)[2]Track Temp 47 °C (117 °F)[2]",1,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,99489.0,99602.0,99526.66666666669,34,5,97,0,0,0,0,0,0,0,0,2,0,0,0,1,0,1,1,1,0,100.0,83.0,81.0,81.0,78.0 +18.0,17,13,0.0,56,,47.0,16.0,104103.0,187.395,buemi,92.0,Swiss,toro_rosso,Italian,2011,8,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,+1 Lap,0.0,16.0,7.0,0.0,99679.0,99711.0,99711.0,36,23,"Clear, Fine and Dry[1][2]Air Temp 27 °C (81 °F)[2]Track Temp 47 °C (117 °F)[2]",1,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,99679.0,99711.0,99700.33333333331,21,2,44,0,0,0,0,0,0,0,1,1,2,0,0,1,2,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +4.0,6,6,8.0,57,6036234.0,57.0,3.0,102340.0,190.623,button,22.0,British,mclaren,British,2011,8,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,Finished,1.0,206.0,2.0,2.0,99453.0,97749.0,97645.0,44,31,"Clear, Fine and Dry[1][2]Air Temp 27 °C (81 °F)[2]Track Temp 47 °C (117 °F)[2]",1,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,97645.0,99453.0,98282.33333333331,26,5,97,4,1,2,1,0,2,0,0,0,0,0,0,0,0,0,0,0,0,100.0,83.0,81.0,81.0,78.0 +3.0,3,4,12.0,57,6022359.0,47.0,6.0,102947.0,189.499,hamilton,44.0,British,mclaren,British,2011,8,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,Finished,1.0,206.0,2.0,2.0,99244.0,97727.0,97380.0,39,26,"Clear, Fine and Dry[1][2]Air Temp 27 °C (81 °F)[2]Track Temp 47 °C (117 °F)[2]",1,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,97380.0,99244.0,98117.0,22,4,79,3,2,0,1,0,1,0,1,0,0,0,0,0,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +9.0,9,10,1.0,56,,51.0,14.0,103901.0,187.759,heidfeld,43.0,German,renault,French,2011,8,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,+1 Lap,0.0,61.0,4.0,0.0,99877.0,98781.0,98781.0,47,34,"Clear, Fine and Dry[1][2]Air Temp 27 °C (81 °F)[2]Track Temp 47 °C (117 °F)[2]",1,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,98781.0,99877.0,99146.33333333331,29,5,83,1,0,1,0,0,0,1,2,0,0,0,2,0,0,0,0,0,0,77.0,76.0,76.0,70.0,71.0 +16.0,14,16,0.0,56,,42.0,9.0,103517.0,188.456,kobayashi,10.0,Japanese,sauber,Swiss,2011,8,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,+1 Lap,0.0,27.0,6.0,0.0,100131.0,99525.0,99525.0,38,25,"Clear, Fine and Dry[1][2]Air Temp 27 °C (81 °F)[2]Track Temp 47 °C (117 °F)[2]",1,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,99525.0,100131.0,99727.0,23,2,29,0,0,0,0,1,0,2,0,0,3,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +20.0,19,19,0.0,55,,44.0,19.0,105055.0,185.697,kovalainen,52.0,Finnish,lotus_racing,Malaysian,2011,8,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,+2 Laps,0.0,0.0,10.0,0.0,101664.0,101664.0,101664.0,43,30,"Clear, Fine and Dry[1][2]Air Temp 27 °C (81 °F)[2]Track Temp 47 °C (117 °F)[2]",1,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,101664.0,101664.0,101664.0,26,4,79,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,0,1,74.0,75.0,75.0,72.0,71.0 +12.0,15,18,0.0,56,,47.0,7.0,103134.0,189.155,maldonado,13.0,Venezuelan,williams,British,2011,8,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,+1 Lap,0.0,4.0,9.0,0.0,99690.0,99645.0,99645.0,39,26,"Clear, Fine and Dry[1][2]Air Temp 27 °C (81 °F)[2]Track Temp 47 °C (117 °F)[2]",1,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,99645.0,99690.0,99660.0,26,0,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,2,58.0,72.0,78.0,73.0,72.0 +6.0,5,5,10.0,57,6027874.0,53.0,5.0,102705.0,189.945,massa,19.0,Brazilian,ferrari,Italian,2011,8,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,Finished,0.0,129.0,3.0,0.0,98413.0,98566.0,97535.0,43,30,"Clear, Fine and Dry[1][2]Air Temp 27 °C (81 °F)[2]Track Temp 47 °C (117 °F)[2]",1,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,97535.0,98566.0,98171.33333333331,25,5,90,0,0,0,0,1,2,1,0,0,0,1,0,0,0,0,0,0,0,91.0,83.0,77.0,75.0,75.0 +7.0,8,17,0.0,56,,50.0,18.0,104578.0,186.544,michael_schumacher,60.0,German,mercedes,German,2011,8,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,+1 Lap,0.0,58.0,5.0,0.0,99198.0,98365.0,98240.0,55,42,"Clear, Fine and Dry[1][2]Air Temp 27 °C (81 °F)[2]Track Temp 47 °C (117 °F)[2]",1,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,98240.0,99198.0,98601.0,37,5,45,0,0,0,1,0,1,0,1,1,0,0,1,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +17.0,16,11,0.0,56,,41.0,15.0,103949.0,187.672,perez,11.0,Mexican,sauber,Swiss,2011,8,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,+1 Lap,0.0,27.0,6.0,0.0,99494.0,99657.0,99657.0,34,21,"Clear, Fine and Dry[1][2]Air Temp 27 °C (81 °F)[2]Track Temp 47 °C (117 °F)[2]",1,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,99494.0,99657.0,99602.66666666669,21,0,7,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +10.0,11,15,0.0,56,,41.0,8.0,103151.0,189.124,petrov,83.0,Russian,renault,French,2011,8,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,+1 Lap,0.0,61.0,4.0,0.0,99690.0,99068.0,99068.0,40,27,"Clear, Fine and Dry[1][2]Air Temp 27 °C (81 °F)[2]Track Temp 47 °C (117 °F)[2]",1,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,99068.0,99690.0,99275.33333333331,26,1,27,1,0,1,0,1,0,0,1,1,0,1,0,0,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +15.0,12,14,0.0,56,,54.0,13.0,103851.0,187.849,resta,95.0,British,force_india,Indian,2011,8,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,+1 Lap,0.0,12.0,8.0,0.0,99852.0,99422.0,99422.0,38,25,"Clear, Fine and Dry[1][2]Air Temp 27 °C (81 °F)[2]Track Temp 47 °C (117 °F)[2]",1,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,99422.0,99852.0,99565.33333333331,25,0,8,0,0,0,0,0,0,0,0,0,2,1,2,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +8.0,7,7,6.0,57,6074259.0,53.0,12.0,103649.0,188.215,rosberg,6.0,German,mercedes,German,2011,8,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,Finished,0.0,58.0,5.0,0.0,99266.0,98373.0,98231.0,39,26,"Clear, Fine and Dry[1][2]Air Temp 27 °C (81 °F)[2]Track Temp 47 °C (117 °F)[2]",1,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,98231.0,99266.0,98623.33333333331,21,5,97,0,0,0,0,2,0,1,0,0,0,2,1,0,0,0,0,1,0,100.0,83.0,81.0,81.0,78.0 +14.0,10,9,2.0,56,,53.0,10.0,103526.0,188.439,sutil,99.0,German,force_india,Indian,2011,8,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,+1 Lap,0.0,12.0,8.0,0.0,99329.0,99034.0,99034.0,41,28,"Clear, Fine and Dry[1][2]Air Temp 27 °C (81 °F)[2]Track Temp 47 °C (117 °F)[2]",1,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,99034.0,99329.0,99132.33333333331,24,4,79,0,0,0,0,0,0,1,0,1,0,1,0,2,0,1,0,0,0,74.0,75.0,75.0,72.0,71.0 +21.0,20,20,0.0,55,,28.0,20.0,106208.0,183.681,trulli,75.0,Italian,lotus_racing,Malaysian,2011,8,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,+2 Laps,0.0,0.0,10.0,0.0,102234.0,102234.0,102234.0,50,37,"Clear, Fine and Dry[1][2]Air Temp 27 °C (81 °F)[2]Track Temp 47 °C (117 °F)[2]",1,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,102234.0,102234.0,102234.0,32,5,97,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,1,2,100.0,83.0,81.0,81.0,78.0 +1.0,1,1,25.0,57,5976169.0,53.0,1.0,101852.0,191.536,vettel,5.0,German,red_bull,Austrian,2011,8,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,Finished,5.0,295.0,1.0,6.0,99116.0,97305.0,96975.0,37,24,"Clear, Fine and Dry[1][2]Air Temp 27 °C (81 °F)[2]Track Temp 47 °C (117 °F)[2]",1,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,96975.0,99116.0,97798.66666666669,20,4,70,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +2.0,2,3,15.0,57,6003424.0,39.0,4.0,102534.0,190.262,webber,91.0,Australian,red_bull,Austrian,2011,8,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,Finished,0.0,295.0,1.0,6.0,99956.0,98058.0,97163.0,48,35,"Clear, Fine and Dry[1][2]Air Temp 27 °C (81 °F)[2]Track Temp 47 °C (117 °F)[2]",1,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,97163.0,99956.0,98392.33333333331,30,5,97,3,1,2,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,100.0,83.0,81.0,81.0,78.0 +19.0,18,10,1.0,52,5400304.0,38.0,15.0,97160.0,218.275,alguersuari,66.0,Spanish,toro_rosso,Italian,2011,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,17.0,7.0,0.0,95245.0,95245.0,95245.0,34,21,Wet track at start; subsequently drying.[1]Air Temp 20 °C (68 °F)[1]Track Temp 22 °C (72 °F)[1],0,0,1,1,0,Race circuit,Clockwise,5.891,52.0,306.198,95245.0,95245.0,95245.0,19,2,36,0,0,0,0,0,0,0,2,0,0,1,0,0,1,0,2,0,0,58.0,72.0,78.0,73.0,72.0 +5.0,3,1,25.0,52,5321196.0,41.0,1.0,94908.0,223.454,alonso,14.0,Spanish,ferrari,Italian,2011,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,164.0,3.0,0.0,92986.0,91727.0,90516.0,43,30,Wet track at start; subsequently drying.[1]Air Temp 20 °C (68 °F)[1]Track Temp 22 °C (72 °F)[1],0,0,1,1,0,Race circuit,Clockwise,5.891,52.0,306.198,90516.0,92986.0,91743.0,25,5,98,3,2,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,100.0,83.0,81.0,81.0,78.0 +25.0,22,17,0.0,50,,30.0,20.0,100560.0,210.894,ambrosio,70.0,Belgian,virgin,British,2011,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+2 Laps,0.0,0.0,12.0,0.0,97154.0,97154.0,97154.0,39,26,Wet track at start; subsequently drying.[1]Air Temp 20 °C (68 °F)[1]Track Temp 22 °C (72 °F)[1],0,0,1,1,0,Race circuit,Clockwise,5.891,52.0,306.198,97154.0,97154.0,97154.0,26,0,9,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,0,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,15,13,0.0,51,,38.0,8.0,96733.0,219.238,barrichello,96.0,Brazilian,williams,British,2011,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,4.0,9.0,0.0,93532.0,93119.0,93119.0,52,39,Wet track at start; subsequently drying.[1]Air Temp 20 °C (68 °F)[1]Track Temp 22 °C (72 °F)[1],0,0,1,1,0,Race circuit,Clockwise,5.891,52.0,306.198,93119.0,93532.0,93256.66666666669,34,5,98,0,0,0,0,0,0,0,0,2,0,0,1,1,0,1,1,1,0,100.0,83.0,81.0,81.0,78.0 +24.0,20,16,0.0,50,,49.0,17.0,99811.0,212.477,glock,65.0,German,virgin,British,2011,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+2 Laps,0.0,0.0,12.0,0.0,96203.0,96203.0,96203.0,42,29,Wet track at start; subsequently drying.[1]Air Temp 20 °C (68 °F)[1]Track Temp 22 °C (72 °F)[1],0,0,1,1,0,Race circuit,Clockwise,5.891,52.0,306.198,96203.0,96203.0,96203.0,26,3,61,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,0,0,72.0,76.0,76.0,76.0,74.0 +3.0,10,4,12.0,52,5350182.0,39.0,5.0,96180.0,220.499,hamilton,44.0,British,mclaren,British,2011,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,1.0,218.0,2.0,2.0,93581.0,92505.0,92376.0,39,26,Wet track at start; subsequently drying.[1]Air Temp 20 °C (68 °F)[1]Track Temp 22 °C (72 °F)[1],0,0,1,1,0,Race circuit,Clockwise,5.891,52.0,306.198,92376.0,93581.0,92820.66666666669,22,4,80,3,2,0,2,0,1,0,1,0,0,0,0,0,0,0,0,0,0,77.0,76.0,76.0,70.0,71.0 +9.0,16,8,4.0,52,5396738.0,37.0,14.0,97117.0,218.371,heidfeld,43.0,German,renault,French,2011,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,65.0,5.0,0.0,95132.0,93805.0,93805.0,47,34,Wet track at start; subsequently drying.[1]Air Temp 20 °C (68 °F)[1]Track Temp 22 °C (72 °F)[1],0,0,1,1,0,Race circuit,Clockwise,5.891,52.0,306.198,93805.0,95132.0,94247.33333333331,29,5,84,1,0,1,0,0,0,1,2,0,1,0,2,0,0,0,0,0,0,77.0,76.0,76.0,70.0,71.0 +23.0,23,18,0.0,50,,40.0,19.0,100524.0,210.97,liuzzi,29.0,Italian,hrt,Spanish,2011,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+2 Laps,0.0,0.0,11.0,0.0,97484.0,97484.0,97484.0,44,31,Wet track at start; subsequently drying.[1]Air Temp 20 °C (68 °F)[1]Track Temp 22 °C (72 °F)[1],0,0,1,1,0,Race circuit,Clockwise,5.891,52.0,306.198,97484.0,97484.0,97484.0,26,5,68,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,1,72.0,76.0,76.0,76.0,74.0 +12.0,7,14,0.0,51,,41.0,12.0,97036.0,218.553,maldonado,13.0,Venezuelan,williams,British,2011,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,4.0,9.0,0.0,92702.0,92588.0,91933.0,39,26,Wet track at start; subsequently drying.[1]Air Temp 20 °C (68 °F)[1]Track Temp 22 °C (72 °F)[1],0,0,1,1,0,Race circuit,Clockwise,5.891,52.0,306.198,91933.0,92702.0,92407.66666666669,26,0,9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,3,58.0,72.0,78.0,73.0,72.0 +6.0,4,5,10.0,52,5350206.0,49.0,2.0,95474.0,222.129,massa,19.0,Brazilian,ferrari,Italian,2011,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,164.0,3.0,1.0,92760.0,91640.0,91124.0,43,30,Wet track at start; subsequently drying.[1]Air Temp 20 °C (68 °F)[1]Track Temp 22 °C (72 °F)[1],0,0,1,1,0,Race circuit,Clockwise,5.891,52.0,306.198,91124.0,92760.0,91841.33333333331,25,5,91,0,0,0,0,2,2,1,0,0,0,1,0,0,0,0,0,0,0,96.0,84.0,79.0,78.0,77.0 +7.0,13,9,2.0,52,5399108.0,34.0,11.0,97034.0,218.558,michael_schumacher,60.0,German,mercedes,German,2011,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,68.0,4.0,0.0,94160.0,92656.0,92656.0,55,42,Wet track at start; subsequently drying.[1]Air Temp 20 °C (68 °F)[1]Track Temp 22 °C (72 °F)[1],0,0,1,1,0,Race circuit,Clockwise,5.891,52.0,306.198,92656.0,94160.0,93157.33333333331,37,5,46,0,0,0,1,0,1,0,1,1,0,0,1,0,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +17.0,12,7,6.0,52,5386786.0,35.0,7.0,96656.0,219.413,perez,11.0,Mexican,sauber,Swiss,2011,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,33.0,6.0,0.0,94145.0,92624.0,92624.0,34,21,Wet track at start; subsequently drying.[1]Air Temp 20 °C (68 °F)[1]Track Temp 22 °C (72 °F)[1],0,0,1,1,0,Race circuit,Clockwise,5.891,52.0,306.198,92624.0,94145.0,93131.0,21,0,8,0,0,0,0,0,0,0,0,1,0,1,0,0,1,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +10.0,14,12,0.0,52,5401877.0,40.0,6.0,96308.0,220.206,petrov,83.0,Russian,renault,French,2011,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,65.0,5.0,0.0,94428.0,92734.0,92734.0,40,27,Wet track at start; subsequently drying.[1]Air Temp 20 °C (68 °F)[1]Track Temp 22 °C (72 °F)[1],0,0,1,1,0,Race circuit,Clockwise,5.891,52.0,306.198,92734.0,94428.0,93298.66666666669,26,1,28,1,0,1,0,1,0,0,1,1,0,1,0,0,0,1,0,1,0,58.0,72.0,78.0,73.0,72.0 +15.0,6,15,0.0,51,,48.0,16.0,97936.0,216.545,resta,95.0,British,force_india,Indian,2011,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,12.0,8.0,0.0,94472.0,92569.0,91929.0,38,25,Wet track at start; subsequently drying.[1]Air Temp 20 °C (68 °F)[1]Track Temp 22 °C (72 °F)[1],0,0,1,1,0,Race circuit,Clockwise,5.891,52.0,306.198,91929.0,94472.0,92990.0,25,0,9,0,0,0,0,0,0,0,0,0,2,1,2,0,1,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +22.0,24,19,0.0,49,,30.0,22.0,100910.0,210.163,ricciardo,3.0,Australian,hrt,Spanish,2011,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+3 Laps,0.0,0.0,11.0,0.0,98059.0,98059.0,98059.0,35,22,Wet track at start; subsequently drying.[1]Air Temp 20 °C (68 °F)[1]Track Temp 22 °C (72 °F)[1],0,0,1,1,0,Race circuit,Clockwise,5.891,52.0,306.198,98059.0,98059.0,98059.0,22,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,9,6,8.0,52,5381861.0,32.0,13.0,97073.0,218.47,rosberg,6.0,German,mercedes,German,2011,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,68.0,4.0,0.0,94186.0,92295.0,92209.0,39,26,Wet track at start; subsequently drying.[1]Air Temp 20 °C (68 °F)[1]Track Temp 22 °C (72 °F)[1],0,0,1,1,0,Race circuit,Clockwise,5.891,52.0,306.198,92209.0,94186.0,92896.66666666669,21,5,98,0,0,0,0,2,0,2,0,0,0,2,1,0,0,0,0,1,0,100.0,83.0,81.0,81.0,78.0 +14.0,11,11,0.0,52,5400908.0,42.0,9.0,96744.0,219.213,sutil,99.0,German,force_india,Indian,2011,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,12.0,8.0,0.0,94454.0,92617.0,92617.0,41,28,Wet track at start; subsequently drying.[1]Air Temp 20 °C (68 °F)[1]Track Temp 22 °C (72 °F)[1],0,0,1,1,0,Race circuit,Clockwise,5.891,52.0,306.198,92617.0,94454.0,93229.33333333331,24,4,80,0,0,0,0,0,0,1,0,2,0,1,0,2,0,1,0,0,0,77.0,76.0,76.0,70.0,71.0 +1.0,2,2,18.0,52,5337707.0,38.0,3.0,95565.0,221.918,vettel,5.0,German,red_bull,Austrian,2011,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,6.0,328.0,1.0,6.0,92977.0,92379.0,90431.0,37,24,Wet track at start; subsequently drying.[1]Air Temp 20 °C (68 °F)[1]Track Temp 22 °C (72 °F)[1],0,0,1,1,0,Race circuit,Clockwise,5.891,52.0,306.198,90431.0,92977.0,91929.0,20,4,71,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +2.0,1,3,15.0,52,5338143.0,49.0,4.0,95665.0,221.686,webber,91.0,Australian,red_bull,Austrian,2011,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,328.0,1.0,6.0,92670.0,91673.0,90399.0,48,35,Wet track at start; subsequently drying.[1]Air Temp 20 °C (68 °F)[1]Track Temp 22 °C (72 °F)[1],0,0,1,1,0,Race circuit,Clockwise,5.891,52.0,306.198,90399.0,92670.0,91580.66666666669,30,5,98,4,1,3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,100.0,83.0,81.0,81.0,78.0 +19.0,16,12,0.0,59,,59.0,14.0,97415.0,190.245,alguersuari,66.0,Spanish,toro_rosso,Italian,2011,10,German Grand Prix,43200000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,+1 Lap,0.0,17.0,8.0,0.0,93658.0,93698.0,93698.0,34,21,"Cloudy, (light) rain at start",0,0,0,1,1,Race circuit,Clockwise,5.148,60.0,308.617,93658.0,93698.0,93684.66666666669,19,2,37,0,0,0,0,0,0,0,2,0,1,1,0,0,1,0,2,0,0,72.0,76.0,76.0,76.0,74.0 +5.0,4,2,18.0,60,5854314.0,60.0,5.0,94626.0,195.853,alonso,14.0,Spanish,ferrari,Italian,2011,10,German Grand Prix,43200000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,Finished,1.0,192.0,3.0,1.0,92916.0,91150.0,90442.0,43,30,"Cloudy, (light) rain at start",0,0,0,1,1,Race circuit,Clockwise,5.148,60.0,308.617,90442.0,92916.0,91502.66666666669,25,5,99,4,2,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,100.0,83.0,81.0,81.0,78.0 +25.0,21,18,0.0,57,,57.0,20.0,99787.0,185.723,ambrosio,70.0,Belgian,virgin,British,2011,10,German Grand Prix,43200000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,+3 Laps,0.0,0.0,12.0,0.0,96641.0,96641.0,96641.0,39,26,"Cloudy, (light) rain at start",0,0,0,1,1,Race circuit,Clockwise,5.148,60.0,308.617,96641.0,96641.0,96641.0,26,0,10,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,0,1,0,58.0,72.0,78.0,73.0,72.0 +18.0,24,15,0.0,59,,48.0,16.0,97863.0,189.374,buemi,92.0,Swiss,toro_rosso,Italian,2011,10,German Grand Prix,43200000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,+1 Lap,0.0,17.0,8.0,0.0,93635.0,93546.0,93546.0,36,23,"Cloudy, (light) rain at start",0,0,0,1,1,Race circuit,Clockwise,5.148,60.0,308.617,93546.0,93635.0,93575.66666666669,21,2,46,0,0,0,0,0,0,0,1,1,2,0,0,2,2,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +21.0,20,20,0.0,56,,56.0,22.0,100435.0,184.525,chandhok,73.0,Indian,lotus_racing,Malaysian,2011,10,German Grand Prix,43200000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,+4 Laps,0.0,0.0,10.0,0.0,96422.0,96422.0,96422.0,40,27,"Cloudy, (light) rain at start",0,0,0,1,1,Race circuit,Clockwise,5.148,60.0,308.617,96422.0,96422.0,96422.0,26,1,11,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +24.0,19,17,0.0,57,,57.0,21.0,99982.0,185.361,glock,65.0,German,virgin,British,2011,10,German Grand Prix,43200000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,+3 Laps,0.0,0.0,12.0,0.0,96400.0,96400.0,96400.0,42,29,"Cloudy, (light) rain at start",0,0,0,1,1,Race circuit,Clockwise,5.148,60.0,308.617,96400.0,96400.0,96400.0,26,3,62,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,3,0,0,72.0,76.0,76.0,76.0,74.0 +3.0,2,1,25.0,60,5850334.0,59.0,1.0,94302.0,196.526,hamilton,44.0,British,mclaren,British,2011,10,German Grand Prix,43200000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,Finished,1.0,243.0,2.0,3.0,92934.0,90998.0,90134.0,39,26,"Cloudy, (light) rain at start",0,0,0,1,1,Race circuit,Clockwise,5.148,60.0,308.617,90134.0,92934.0,91355.33333333331,22,4,81,3,2,0,3,0,1,0,1,0,0,0,0,0,0,0,0,0,0,77.0,76.0,76.0,70.0,71.0 +16.0,17,9,2.0,59,,50.0,11.0,96659.0,191.733,kobayashi,10.0,Japanese,sauber,Swiss,2011,10,German Grand Prix,43200000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,+1 Lap,0.0,35.0,6.0,0.0,93786.0,93786.0,93786.0,38,25,"Cloudy, (light) rain at start",0,0,0,1,1,Race circuit,Clockwise,5.148,60.0,308.617,93786.0,93786.0,93786.0,23,2,31,0,0,0,0,1,0,2,0,0,3,0,0,0,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +20.0,18,16,0.0,58,,54.0,17.0,99050.0,187.105,kovalainen,52.0,Finnish,lotus_racing,Malaysian,2011,10,German Grand Prix,43200000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,+2 Laps,0.0,0.0,10.0,0.0,95599.0,95599.0,95599.0,43,30,"Cloudy, (light) rain at start",0,0,0,1,1,Race circuit,Clockwise,5.148,60.0,308.617,95599.0,95599.0,95599.0,26,4,81,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,0,1,77.0,76.0,76.0,70.0,71.0 +12.0,13,14,0.0,59,,50.0,15.0,97568.0,189.947,maldonado,13.0,Venezuelan,williams,British,2011,10,German Grand Prix,43200000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,+1 Lap,0.0,4.0,9.0,0.0,93003.0,92635.0,92635.0,39,26,"Cloudy, (light) rain at start",0,0,0,1,1,Race circuit,Clockwise,5.148,60.0,308.617,92635.0,93003.0,92757.66666666669,26,0,10,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,1,3,58.0,72.0,78.0,73.0,72.0 +6.0,5,5,10.0,60,5902586.0,51.0,4.0,94609.0,195.888,massa,19.0,Brazilian,ferrari,Italian,2011,10,German Grand Prix,43200000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,Finished,0.0,192.0,3.0,1.0,91826.0,91582.0,90910.0,43,30,"Cloudy, (light) rain at start",0,0,0,1,1,Race circuit,Clockwise,5.148,60.0,308.617,90910.0,91826.0,91439.33333333331,25,5,92,0,0,0,0,3,2,1,0,0,0,1,0,0,0,0,0,0,0,96.0,84.0,79.0,78.0,77.0 +7.0,10,8,4.0,59,,49.0,6.0,95628.0,193.8,michael_schumacher,60.0,German,mercedes,German,2011,10,German Grand Prix,43200000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,+1 Lap,0.0,78.0,4.0,0.0,92603.0,92180.0,92482.0,55,42,"Cloudy, (light) rain at start",0,0,0,1,1,Race circuit,Clockwise,5.148,60.0,308.617,92180.0,92603.0,92421.66666666669,37,5,47,0,0,0,1,0,1,0,1,2,0,0,1,0,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +17.0,15,11,0.0,59,,53.0,13.0,97033.0,190.994,perez,11.0,Mexican,sauber,Swiss,2011,10,German Grand Prix,43200000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,+1 Lap,0.0,35.0,6.0,0.0,93295.0,93176.0,93176.0,34,21,"Cloudy, (light) rain at start",0,0,0,1,1,Race circuit,Clockwise,5.148,60.0,308.617,93176.0,93295.0,93215.66666666669,21,0,9,0,0,0,0,0,0,1,0,1,0,1,0,0,1,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +10.0,9,10,1.0,59,,50.0,8.0,96186.0,192.676,petrov,83.0,Russian,renault,French,2011,10,German Grand Prix,43200000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,+1 Lap,0.0,66.0,5.0,0.0,93187.0,91985.0,92187.0,40,27,"Cloudy, (light) rain at start",0,0,0,1,1,Race circuit,Clockwise,5.148,60.0,308.617,91985.0,93187.0,92453.0,26,1,29,1,0,1,0,1,0,0,1,1,0,1,1,0,0,1,0,1,0,58.0,72.0,78.0,73.0,72.0 +15.0,12,13,0.0,59,,54.0,12.0,96715.0,191.622,resta,95.0,British,force_india,Indian,2011,10,German Grand Prix,43200000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,+1 Lap,0.0,20.0,7.0,0.0,92651.0,92560.0,92560.0,38,25,"Cloudy, (light) rain at start",0,0,0,1,1,Race circuit,Clockwise,5.148,60.0,308.617,92560.0,92651.0,92590.33333333331,25,0,10,0,0,0,0,0,0,0,0,0,2,1,2,0,1,1,0,0,1,58.0,72.0,78.0,73.0,72.0 +22.0,22,19,0.0,57,,57.0,23.0,100489.0,184.426,ricciardo,3.0,Australian,hrt,Spanish,2011,10,German Grand Prix,43200000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,+3 Laps,0.0,0.0,11.0,0.0,97036.0,97036.0,97036.0,35,22,"Cloudy, (light) rain at start",0,0,0,1,1,Race circuit,Clockwise,5.148,60.0,308.617,97036.0,97036.0,97036.0,22,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,6,7,6.0,59,,51.0,7.0,96181.0,192.686,rosberg,6.0,German,mercedes,German,2011,10,German Grand Prix,43200000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,+1 Lap,0.0,78.0,4.0,0.0,92785.0,91343.0,91263.0,39,26,"Cloudy, (light) rain at start",0,0,0,1,1,Race circuit,Clockwise,5.148,60.0,308.617,91263.0,92785.0,91797.0,21,5,99,0,0,0,0,2,1,2,0,0,0,2,1,0,0,0,0,1,0,100.0,83.0,81.0,81.0,78.0 +14.0,8,6,8.0,60,5936542.0,57.0,10.0,96653.0,191.745,sutil,99.0,German,force_india,Indian,2011,10,German Grand Prix,43200000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,Finished,0.0,20.0,7.0,0.0,92286.0,91809.0,92010.0,41,28,"Cloudy, (light) rain at start",0,0,0,1,1,Race circuit,Clockwise,5.148,60.0,308.617,91809.0,92286.0,92035.0,24,4,81,0,0,0,0,0,0,1,0,2,0,2,0,2,0,1,0,0,0,77.0,76.0,76.0,70.0,71.0 +1.0,3,4,12.0,60,5898255.0,47.0,3.0,94587.0,195.933,vettel,5.0,German,red_bull,Austrian,2011,10,German Grand Prix,43200000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,Finished,6.0,355.0,1.0,6.0,92973.0,91017.0,90216.0,37,24,"Cloudy, (light) rain at start",0,0,0,1,1,Race circuit,Clockwise,5.148,60.0,308.617,90216.0,92973.0,91402.0,20,4,72,9,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +2.0,1,3,15.0,60,5860122.0,60.0,2.0,94468.0,196.18,webber,91.0,Australian,red_bull,Austrian,2011,10,German Grand Prix,43200000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,Finished,0.0,355.0,1.0,6.0,93096.0,91311.0,90079.0,48,35,"Cloudy, (light) rain at start",0,0,0,1,1,Race circuit,Clockwise,5.148,60.0,308.617,90079.0,93096.0,91495.33333333331,30,5,99,5,1,4,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,100.0,83.0,81.0,81.0,78.0 +19.0,16,10,1.0,69,,68.0,16.0,86025.0,183.337,alguersuari,66.0,Spanish,toro_rosso,Italian,2011,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,22.0,8.0,0.0,83285.0,82979.0,82979.0,34,21,"Cloudy, rain showers",0,0,0,1,1,Race circuit,Clockwise,4.381,70.0,306.63,82979.0,83285.0,83081.0,19,2,38,0,0,0,0,0,0,0,2,0,1,1,1,0,1,0,2,0,0,72.0,76.0,76.0,76.0,74.0 +5.0,5,3,15.0,70,6422156.0,62.0,3.0,83711.0,188.405,alonso,14.0,Spanish,ferrari,Italian,2011,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,1.0,215.0,3.0,1.0,81578.0,80262.0,80365.0,43,30,"Cloudy, rain showers",0,0,0,1,1,Race circuit,Clockwise,4.381,70.0,306.63,80262.0,81578.0,80735.0,25,5,100,5,3,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,100.0,83.0,81.0,81.0,78.0 +25.0,24,19,0.0,65,,58.0,20.0,89068.0,177.073,ambrosio,70.0,Belgian,virgin,British,2011,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+5 Laps,0.0,0.0,12.0,0.0,86510.0,86510.0,86510.0,39,26,"Cloudy, rain showers",0,0,0,1,1,Race circuit,Clockwise,4.381,70.0,306.63,86510.0,86510.0,86510.0,26,0,11,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,0,1,1,58.0,72.0,78.0,73.0,72.0 +11.0,15,13,0.0,68,,65.0,11.0,85018.0,185.508,barrichello,96.0,Brazilian,williams,British,2011,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+2 Laps,0.0,4.0,9.0,0.0,83075.0,82684.0,82684.0,52,39,"Cloudy, rain showers",0,0,0,1,1,Race circuit,Clockwise,4.381,70.0,306.63,82684.0,83075.0,82814.33333333333,34,5,100,0,0,0,0,0,0,0,0,2,0,0,1,2,0,1,1,1,0,100.0,83.0,81.0,81.0,78.0 +18.0,23,8,4.0,69,,65.0,15.0,85977.0,183.439,buemi,92.0,Swiss,toro_rosso,Italian,2011,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,22.0,8.0,0.0,84070.0,84070.0,84070.0,36,23,"Cloudy, rain showers",0,0,0,1,1,Race circuit,Clockwise,4.381,70.0,306.63,84070.0,84070.0,84070.0,21,2,47,0,0,0,0,0,0,0,1,1,2,0,0,2,2,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +4.0,3,1,25.0,70,6402337.0,58.0,6.0,83937.0,187.898,button,22.0,British,mclaren,British,2011,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,1.0,280.0,2.0,4.0,82038.0,80578.0,80024.0,44,31,"Cloudy, rain showers",0,0,0,1,1,Race circuit,Clockwise,4.381,70.0,306.63,80024.0,82038.0,80880.0,26,5,100,4,1,2,1,0,3,0,0,0,0,0,0,0,0,0,0,0,0,100.0,83.0,81.0,81.0,78.0 +24.0,20,17,0.0,66,,59.0,18.0,88022.0,179.177,glock,65.0,German,virgin,British,2011,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+4 Laps,0.0,0.0,12.0,0.0,86294.0,86294.0,86294.0,42,29,"Cloudy, rain showers",0,0,0,1,1,Race circuit,Clockwise,4.381,70.0,306.63,86294.0,86294.0,86294.0,26,3,63,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,3,1,0,72.0,76.0,76.0,76.0,74.0 +3.0,2,4,12.0,70,6450675.0,61.0,2.0,83661.0,188.517,hamilton,44.0,British,mclaren,British,2011,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,2.0,280.0,2.0,4.0,81636.0,81105.0,79978.0,39,26,"Cloudy, rain showers",0,0,0,1,1,Race circuit,Clockwise,4.381,70.0,306.63,79978.0,81636.0,80906.33333333333,22,4,82,4,2,0,3,0,1,0,1,0,0,0,0,0,0,0,0,0,0,77.0,76.0,76.0,70.0,71.0 +16.0,13,11,0.0,69,,65.0,7.0,84664.0,186.284,kobayashi,10.0,Japanese,sauber,Swiss,2011,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,35.0,6.0,0.0,83278.0,82435.0,82435.0,38,25,"Cloudy, rain showers",0,0,0,1,1,Race circuit,Clockwise,4.381,70.0,306.63,82435.0,83278.0,82716.0,23,2,32,0,0,0,0,1,0,2,0,1,3,0,0,0,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +23.0,21,20,0.0,65,,53.0,21.0,89208.0,176.795,liuzzi,29.0,Italian,hrt,Spanish,2011,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+5 Laps,0.0,0.0,11.0,0.0,86323.0,86323.0,86323.0,44,31,"Cloudy, rain showers",0,0,0,1,1,Race circuit,Clockwise,4.381,70.0,306.63,86323.0,86323.0,86323.0,26,5,70,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,2,72.0,76.0,76.0,76.0,74.0 +12.0,17,16,0.0,68,,56.0,13.0,85724.0,183.981,maldonado,13.0,Venezuelan,williams,British,2011,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+2 Laps,0.0,4.0,9.0,0.0,83847.0,83847.0,83847.0,39,26,"Cloudy, rain showers",0,0,0,1,1,Race circuit,Clockwise,4.381,70.0,306.63,83847.0,83847.0,83847.0,26,0,11,0,0,0,0,0,0,0,0,0,0,0,0,0,2,1,0,1,3,58.0,72.0,78.0,73.0,72.0 +6.0,4,6,8.0,70,6485513.0,61.0,1.0,83415.0,189.073,massa,19.0,Brazilian,ferrari,Italian,2011,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,215.0,3.0,1.0,82130.0,81099.0,80350.0,43,30,"Cloudy, rain showers",0,0,0,1,1,Race circuit,Clockwise,4.381,70.0,306.63,80350.0,82130.0,81193.0,25,5,93,0,0,0,0,4,2,1,0,0,0,1,0,0,0,0,0,0,0,96.0,84.0,79.0,78.0,77.0 +17.0,10,15,0.0,68,,67.0,10.0,84999.0,185.55,perez,11.0,Mexican,sauber,Swiss,2011,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+2 Laps,0.0,35.0,6.0,0.0,83067.0,82157.0,82157.0,34,21,"Cloudy, rain showers",0,0,0,1,1,Race circuit,Clockwise,4.381,70.0,306.63,82157.0,83067.0,82460.33333333333,21,0,10,0,0,0,0,0,0,1,0,1,0,2,0,0,1,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +10.0,12,12,0.0,69,,68.0,8.0,84664.0,186.284,petrov,83.0,Russian,renault,French,2011,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,66.0,5.0,0.0,83070.0,82284.0,82284.0,40,27,"Cloudy, rain showers",0,0,0,1,1,Race circuit,Clockwise,4.381,70.0,306.63,82284.0,83070.0,82546.0,26,1,30,1,0,1,0,1,0,0,1,1,1,1,1,0,0,1,0,1,0,58.0,72.0,78.0,73.0,72.0 +15.0,11,7,6.0,69,,65.0,14.0,85935.0,183.529,resta,95.0,British,force_india,Indian,2011,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,26.0,7.0,0.0,82976.0,82256.0,82256.0,38,25,"Cloudy, rain showers",0,0,0,1,1,Race circuit,Clockwise,4.381,70.0,306.63,82256.0,82976.0,82496.0,25,0,11,0,0,0,0,0,0,0,0,0,2,1,2,1,1,1,0,0,1,58.0,72.0,78.0,73.0,72.0 +22.0,22,18,0.0,66,,62.0,19.0,88876.0,177.456,ricciardo,3.0,Australian,hrt,Spanish,2011,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+4 Laps,0.0,0.0,11.0,0.0,86479.0,86479.0,86479.0,35,22,"Cloudy, rain showers",0,0,0,1,1,Race circuit,Clockwise,4.381,70.0,306.63,86479.0,86479.0,86479.0,22,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,7,9,2.0,69,,64.0,9.0,84857.0,185.86,rosberg,6.0,German,mercedes,German,2011,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,80.0,4.0,0.0,82996.0,81243.0,81098.0,39,26,"Cloudy, rain showers",0,0,0,1,1,Race circuit,Clockwise,4.381,70.0,306.63,81098.0,82996.0,81779.0,21,5,100,0,0,0,0,2,1,3,0,0,0,2,1,0,0,0,0,1,0,100.0,83.0,81.0,81.0,78.0 +14.0,8,14,0.0,68,,66.0,12.0,85579.0,184.292,sutil,99.0,German,force_india,Indian,2011,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+2 Laps,0.0,26.0,7.0,0.0,82237.0,82000.0,81445.0,41,28,"Cloudy, rain showers",0,0,0,1,1,Race circuit,Clockwise,4.381,70.0,306.63,81445.0,82237.0,81894.0,24,4,82,0,0,0,0,0,1,1,0,2,0,2,0,2,0,1,0,0,0,77.0,76.0,76.0,70.0,71.0 +1.0,1,2,18.0,70,6405925.0,70.0,5.0,83875.0,188.036,vettel,5.0,German,red_bull,Austrian,2011,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,6.0,383.0,1.0,6.0,81740.0,81095.0,79815.0,37,24,"Cloudy, rain showers",0,0,0,1,1,Race circuit,Clockwise,4.381,70.0,306.63,79815.0,81740.0,80883.33333333333,20,4,73,9,3,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +2.0,6,5,10.0,70,6452079.0,61.0,4.0,83718.0,188.389,webber,91.0,Australian,red_bull,Austrian,2011,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,383.0,1.0,6.0,82208.0,80890.0,80474.0,48,35,"Cloudy, rain showers",0,0,0,1,1,Race circuit,Clockwise,4.381,70.0,306.63,80474.0,82208.0,81190.66666666667,30,5,100,6,1,5,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,100.0,83.0,81.0,81.0,78.0 +5.0,8,4,12.0,44,5217915.0,41.0,5.0,111107.0,226.937,alonso,14.0,Spanish,ferrari,Italian,2011,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,1.0,231.0,3.0,1.0,124450.0,122768.0,111251.0,43,30,"Cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,7.004,44.0,308.052,111251.0,124450.0,119489.66666666669,25,5,101,6,3,2,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,100.0,83.0,81.0,81.0,78.0 +25.0,20,17,0.0,43,,38.0,19.0,116319.0,216.769,ambrosio,70.0,Belgian,virgin,British,2011,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,+1 Lap,0.0,0.0,12.0,0.0,131601.0,131601.0,131601.0,39,26,"Cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,7.004,44.0,308.052,131601.0,131601.0,131601.0,26,0,12,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,0,1,1,58.0,72.0,78.0,73.0,72.0 +11.0,14,16,0.0,43,,42.0,3.0,110424.0,228.341,barrichello,96.0,Brazilian,williams,British,2011,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,+1 Lap,0.0,5.0,9.0,0.0,125720.0,127349.0,127349.0,52,39,"Cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,7.004,44.0,308.052,125720.0,127349.0,126806.0,34,5,101,0,0,0,0,0,0,0,0,2,0,0,1,3,0,1,1,1,0,100.0,83.0,81.0,81.0,78.0 +9.0,7,13,0.0,44,5297878.0,39.0,13.0,113585.0,221.987,bruno_senna,85.0,Brazilian,renault,French,2011,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,68.0,5.0,0.0,125047.0,124452.0,111121.0,41,28,"Cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,7.004,44.0,308.052,111121.0,125047.0,120206.66666666669,27,1,19,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +4.0,13,3,15.0,44,5214562.0,39.0,2.0,110062.0,229.092,button,22.0,British,mclaren,British,2011,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,2.0,295.0,2.0,4.0,121813.0,125150.0,125150.0,44,31,"Cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,7.004,44.0,308.052,121813.0,125150.0,124037.66666666669,26,5,101,5,1,2,1,0,3,0,0,0,0,0,0,0,0,0,0,0,0,100.0,83.0,81.0,81.0,78.0 +24.0,19,18,0.0,43,,37.0,20.0,116540.0,216.358,glock,65.0,German,virgin,British,2011,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,+1 Lap,0.0,0.0,12.0,0.0,129566.0,129566.0,129566.0,42,29,"Cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,7.004,44.0,308.052,129566.0,129566.0,129566.0,26,3,64,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,3,2,0,72.0,76.0,76.0,76.0,74.0 +16.0,12,12,0.0,44,5296869.0,35.0,14.0,113871.0,221.429,kobayashi,10.0,Japanese,sauber,Swiss,2011,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,35.0,6.0,0.0,127194.0,124757.0,124757.0,38,25,"Cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,7.004,44.0,308.052,124757.0,127194.0,125569.33333333331,23,2,33,0,0,0,0,1,0,2,0,1,3,1,0,0,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +20.0,16,15,0.0,43,,35.0,15.0,114051.0,221.08,kovalainen,52.0,Finnish,lotus_racing,Malaysian,2011,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,+1 Lap,0.0,0.0,10.0,0.0,126780.0,128354.0,128354.0,43,30,"Cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,7.004,44.0,308.052,126780.0,128354.0,127829.33333333331,26,4,83,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,2,0,1,77.0,76.0,76.0,70.0,71.0 +23.0,22,19,0.0,43,,42.0,22.0,118061.0,213.57,liuzzi,29.0,Italian,hrt,Spanish,2011,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,+1 Lap,0.0,0.0,11.0,0.0,131616.0,131616.0,131616.0,44,31,"Cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,7.004,44.0,308.052,131616.0,131616.0,131616.0,26,5,71,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,2,72.0,76.0,76.0,76.0,74.0 +12.0,21,10,1.0,44,5282508.0,43.0,12.0,113362.0,222.423,maldonado,13.0,Venezuelan,williams,British,2011,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,5.0,9.0,0.0,125621.0,128106.0,128106.0,39,26,"Cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,7.004,44.0,308.052,125621.0,128106.0,127277.66666666669,26,0,12,0,0,0,0,0,0,0,0,0,0,0,0,0,2,1,1,1,3,58.0,72.0,78.0,73.0,72.0 +6.0,4,8,4.0,44,5270969.0,42.0,7.0,111564.0,226.008,massa,19.0,Brazilian,ferrari,Italian,2011,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,231.0,3.0,1.0,125834.0,124507.0,110256.0,43,30,"Cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,7.004,44.0,308.052,110256.0,125834.0,120199.0,25,5,94,0,0,0,0,4,3,1,0,0,0,1,0,0,0,0,0,0,0,96.0,84.0,79.0,78.0,77.0 +7.0,24,5,10.0,44,5252357.0,34.0,6.0,111137.0,226.876,michael_schumacher,60.0,German,mercedes,German,2011,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,98.0,4.0,0.0,133077.0,133077.0,133077.0,55,42,"Cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,7.004,44.0,308.052,133077.0,133077.0,133077.0,37,5,49,0,0,0,1,0,1,0,2,2,0,0,1,0,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +10.0,10,9,2.0,44,5276810.0,34.0,9.0,112432.0,224.263,petrov,83.0,Russian,renault,French,2011,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,68.0,5.0,0.0,125292.0,123466.0,112303.0,40,27,"Cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,7.004,44.0,308.052,112303.0,125292.0,120353.66666666669,26,1,31,1,0,1,0,1,0,0,1,1,1,1,2,0,0,1,0,1,0,58.0,72.0,78.0,73.0,72.0 +15.0,17,11,0.0,44,5288887.0,32.0,11.0,113223.0,222.696,resta,95.0,British,force_india,Indian,2011,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,32.0,7.0,0.0,127758.0,127758.0,127758.0,38,25,"Cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,7.004,44.0,308.052,127758.0,127758.0,127758.0,25,0,12,0,0,0,0,0,0,1,0,0,2,1,2,1,1,1,0,0,1,58.0,72.0,78.0,73.0,72.0 +8.0,5,6,8.0,44,5253567.0,39.0,8.0,112263.0,224.601,rosberg,6.0,German,mercedes,German,2011,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,98.0,4.0,0.0,125091.0,123723.0,110552.0,39,26,"Cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,7.004,44.0,308.052,110552.0,125091.0,119788.66666666669,21,5,101,0,0,0,0,2,1,3,0,1,0,2,1,0,0,0,0,1,0,100.0,83.0,81.0,81.0,78.0 +14.0,15,7,6.0,44,5264606.0,33.0,10.0,112591.0,223.946,sutil,99.0,German,force_india,Indian,2011,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,32.0,7.0,0.0,126000.0,127777.0,127777.0,41,28,"Cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,7.004,44.0,308.052,126000.0,127777.0,127184.66666666669,24,4,83,0,0,0,0,0,1,1,0,2,0,2,0,2,1,1,0,0,0,77.0,76.0,76.0,70.0,71.0 +21.0,18,14,0.0,43,,38.0,17.0,114571.0,220.076,trulli,75.0,Italian,lotus_racing,Malaysian,2011,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,+1 Lap,0.0,0.0,10.0,0.0,128773.0,128773.0,128773.0,50,37,"Cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,7.004,44.0,308.052,128773.0,128773.0,128773.0,32,5,100,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,1,2,100.0,83.0,81.0,81.0,78.0 +1.0,1,1,25.0,44,5204893.0,36.0,4.0,110451.0,228.285,vettel,5.0,German,red_bull,Austrian,2011,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,6.0,426.0,1.0,7.0,123029.0,123317.0,108298.0,37,24,"Cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,7.004,44.0,308.052,108298.0,123317.0,118214.66666666669,20,4,74,10,4,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +2.0,3,2,18.0,44,5208634.0,33.0,1.0,109883.0,229.465,webber,91.0,Australian,red_bull,Austrian,2011,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,426.0,1.0,7.0,122827.0,123302.0,109376.0,48,35,"Cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,7.004,44.0,308.052,109376.0,123302.0,118501.66666666669,30,5,101,6,1,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,100.0,83.0,81.0,81.0,78.0 +19.0,18,7,6.0,52,,49.0,10.0,88357.0,236.028,alguersuari,66.0,Spanish,toro_rosso,Italian,2011,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,29.0,8.0,0.0,85334.0,85334.0,85334.0,34,21,Mainly sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,85334.0,85334.0,85334.0,19,2,40,0,0,0,0,0,0,0,2,0,2,1,1,0,1,0,2,0,0,72.0,76.0,76.0,76.0,74.0 +5.0,4,3,15.0,53,4863081.0,50.0,6.0,87191.0,239.185,alonso,14.0,Spanish,ferrari,Italian,2011,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,1.0,254.0,3.0,1.0,84134.0,83342.0,82841.0,43,30,Mainly sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,82841.0,84134.0,83439.0,25,5,102,6,3,2,2,1,1,1,0,0,0,0,0,0,0,0,0,0,0,102.0,87.0,81.0,81.0,79.0 +11.0,13,12,0.0,52,,49.0,11.0,88377.0,235.975,barrichello,96.0,Brazilian,williams,British,2011,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,5.0,9.0,0.0,84975.0,84648.0,84648.0,52,39,Mainly sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,84648.0,84975.0,84757.0,34,5,102,0,0,0,0,0,0,0,0,2,0,0,1,3,0,1,2,1,0,102.0,87.0,81.0,81.0,79.0 +9.0,10,9,2.0,52,,51.0,4.0,86895.0,240.0,bruno_senna,85.0,Brazilian,renault,French,2011,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,70.0,5.0,0.0,84914.0,84157.0,84157.0,41,28,Mainly sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,84157.0,84914.0,84409.33333333333,27,1,20,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +18.0,16,10,1.0,52,,51.0,9.0,88202.0,236.443,buemi,92.0,Swiss,toro_rosso,Italian,2011,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,29.0,8.0,0.0,85164.0,84932.0,84932.0,36,23,Mainly sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,84932.0,85164.0,85009.33333333333,21,2,49,0,0,0,0,0,0,0,2,1,2,0,0,2,2,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +4.0,3,2,18.0,53,4855762.0,52.0,2.0,86207.0,241.915,button,22.0,British,mclaren,British,2011,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,2.0,325.0,2.0,4.0,84013.0,83031.0,82777.0,44,31,Mainly sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,82777.0,84013.0,83273.66666666667,26,5,102,6,1,3,1,0,3,0,0,0,0,0,0,0,0,0,0,0,0,102.0,87.0,81.0,81.0,79.0 +24.0,21,15,0.0,51,,51.0,17.0,90783.0,229.721,glock,65.0,German,virgin,British,2011,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+2 Laps,0.0,0.0,12.0,0.0,87591.0,87591.0,87591.0,42,29,Mainly sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,87591.0,87591.0,87591.0,26,3,65,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,3,2,1,72.0,76.0,76.0,76.0,74.0 +3.0,2,4,12.0,53,4863589.0,52.0,1.0,86187.0,241.971,hamilton,44.0,British,mclaren,British,2011,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,2.0,325.0,2.0,4.0,83976.0,83172.0,82725.0,39,26,Mainly sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,82725.0,83976.0,83291.0,22,4,84,4,2,0,4,0,1,0,1,0,0,0,0,0,0,0,0,0,0,77.0,76.0,76.0,70.0,71.0 +20.0,20,13,0.0,51,,50.0,14.0,89639.0,232.653,kovalainen,52.0,Finnish,lotus_racing,Malaysian,2011,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+2 Laps,0.0,0.0,10.0,0.0,87184.0,87184.0,87184.0,43,30,Mainly sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,87184.0,87184.0,87184.0,26,4,84,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,2,0,1,77.0,76.0,76.0,70.0,71.0 +12.0,14,11,0.0,52,,51.0,12.0,88934.0,234.497,maldonado,13.0,Venezuelan,williams,British,2011,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,5.0,9.0,0.0,84798.0,84726.0,84726.0,39,26,Mainly sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,84726.0,84798.0,84750.0,26,0,13,0,0,0,0,0,0,0,0,0,1,0,0,0,2,1,1,1,3,58.0,72.0,78.0,73.0,72.0 +6.0,6,6,8.0,53,4889165.0,53.0,5.0,86924.0,239.919,massa,19.0,Brazilian,ferrari,Italian,2011,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,254.0,3.0,1.0,84523.0,83681.0,83188.0,43,30,Mainly sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,83188.0,84523.0,83797.33333333333,25,5,95,0,0,0,0,4,3,1,1,0,0,1,0,0,0,0,0,0,0,96.0,84.0,79.0,78.0,77.0 +7.0,8,5,10.0,53,4878849.0,46.0,7.0,87402.0,238.607,michael_schumacher,60.0,German,mercedes,German,2011,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,108.0,4.0,0.0,85108.0,83671.0,83777.0,55,42,Mainly sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,83671.0,85108.0,84185.33333333333,37,5,50,0,0,0,1,1,1,0,2,2,0,0,1,0,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +15.0,11,8,4.0,52,,52.0,8.0,88054.0,236.841,resta,95.0,British,force_india,Indian,2011,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,36.0,6.0,0.0,84574.0,84163.0,84163.0,38,25,Mainly sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,84163.0,84574.0,84300.0,25,0,13,0,0,0,0,0,0,1,0,0,2,2,2,1,1,1,0,0,1,58.0,72.0,78.0,73.0,72.0 +22.0,23,16,0.0,39,,36.0,20.0,92013.0,226.65,ricciardo,3.0,Australian,hrt,Spanish,2011,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+14 Laps,0.0,0.0,11.0,0.0,88054.0,88054.0,88054.0,35,22,Mainly sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,88054.0,88054.0,88054.0,22,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +21.0,19,14,0.0,51,,50.0,15.0,89825.0,232.171,trulli,75.0,Italian,lotus_racing,Malaysian,2011,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+2 Laps,0.0,0.0,10.0,0.0,86647.0,86647.0,86647.0,50,37,Mainly sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,86647.0,86647.0,86647.0,32,5,101,0,0,0,0,0,0,0,0,0,0,0,0,2,1,0,0,1,2,100.0,83.0,81.0,81.0,78.0 +1.0,1,1,25.0,53,4846172.0,49.0,3.0,86557.0,240.937,vettel,5.0,German,red_bull,Austrian,2011,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,7.0,451.0,1.0,8.0,84002.0,82914.0,82275.0,37,24,Mainly sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,82275.0,84002.0,83063.66666666667,20,4,75,11,4,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +5.0,5,4,12.0,61,7202206.0,58.0,5.0,110891.0,164.691,alonso,14.0,Spanish,ferrari,Italian,2011,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,1.0,268.0,3.0,1.0,107054.0,105779.0,104874.0,43,30,Hot and humid Air Temp 31 °C (88 °F)[1],1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,104874.0,107054.0,105902.33333333331,25,5,103,7,3,3,2,1,1,1,0,0,0,0,0,0,0,0,0,0,0,102.0,87.0,81.0,81.0,79.0 +25.0,22,18,0.0,59,,22.0,22.0,118730.0,153.817,ambrosio,70.0,Belgian,virgin,British,2011,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,+2 Laps,0.0,0.0,12.0,0.0,112363.0,112363.0,112363.0,39,26,Hot and humid Air Temp 31 °C (88 °F)[1],1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,112363.0,112363.0,112363.0,26,0,14,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,0,2,1,58.0,72.0,78.0,73.0,72.0 +11.0,12,13,0.0,60,,40.0,19.0,115235.0,158.483,barrichello,96.0,Brazilian,williams,British,2011,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,+1 Lap,0.0,5.0,9.0,0.0,108061.0,108082.0,108082.0,52,39,Hot and humid Air Temp 31 °C (88 °F)[1],1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,108061.0,108082.0,108075.0,34,5,103,0,0,0,0,0,0,0,0,2,0,0,2,3,0,1,2,1,0,102.0,87.0,81.0,81.0,79.0 +9.0,15,15,0.0,59,,55.0,12.0,113774.0,160.518,bruno_senna,85.0,Brazilian,renault,French,2011,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,+2 Laps,0.0,70.0,5.0,0.0,108861.0,108662.0,108662.0,41,28,Hot and humid Air Temp 31 °C (88 °F)[1],1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,108662.0,108861.0,108728.33333333331,27,1,21,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +18.0,14,12,0.0,60,,51.0,7.0,112197.0,162.774,buemi,92.0,Swiss,toro_rosso,Italian,2011,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,+1 Lap,0.0,29.0,8.0,0.0,108753.0,108634.0,108634.0,36,23,Hot and humid Air Temp 31 °C (88 °F)[1],1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,108634.0,108753.0,108673.66666666669,21,2,50,0,0,0,0,0,0,0,2,1,3,0,0,2,2,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +4.0,3,2,18.0,61,7148494.0,54.0,1.0,108454.0,168.392,button,22.0,British,mclaren,British,2011,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,2.0,353.0,2.0,4.0,106956.0,105472.0,104804.0,44,31,Hot and humid Air Temp 31 °C (88 °F)[1],1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,104804.0,106956.0,105744.0,26,5,103,7,2,3,1,0,3,0,0,0,0,0,0,0,0,0,0,0,0,102.0,87.0,81.0,81.0,79.0 +3.0,4,5,10.0,61,7214523.0,54.0,4.0,110832.0,164.779,hamilton,44.0,British,mclaren,British,2011,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,2.0,353.0,2.0,4.0,107014.0,106829.0,104809.0,39,26,Hot and humid Air Temp 31 °C (88 °F)[1],1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,104809.0,107014.0,106217.33333333331,22,4,85,4,2,0,5,0,1,0,1,0,0,0,0,0,0,0,0,0,0,77.0,76.0,76.0,70.0,71.0 +16.0,17,14,0.0,59,,56.0,6.0,111329.0,164.043,kobayashi,10.0,Japanese,sauber,Swiss,2011,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,+2 Laps,0.0,36.0,7.0,0.0,108054.0,108054.0,108054.0,38,25,Hot and humid Air Temp 31 °C (88 °F)[1],1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,108054.0,108054.0,108054.0,23,2,35,0,0,0,0,1,0,2,0,1,3,1,1,0,0,0,1,0,1,58.0,72.0,78.0,73.0,72.0 +20.0,19,16,0.0,59,,56.0,13.0,114063.0,160.111,kovalainen,52.0,Finnish,lotus_racing,Malaysian,2011,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,+2 Laps,0.0,0.0,10.0,0.0,110948.0,110948.0,110948.0,43,30,Hot and humid Air Temp 31 °C (88 °F)[1],1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,110948.0,110948.0,110948.0,26,4,85,0,0,0,0,0,0,0,0,0,0,0,0,1,1,2,2,0,1,77.0,76.0,76.0,70.0,71.0 +23.0,24,20,0.0,57,,41.0,21.0,118283.0,154.399,liuzzi,29.0,Italian,hrt,Spanish,2011,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,+4 Laps,0.0,0.0,11.0,0.0,112810.0,112810.0,112810.0,44,31,Hot and humid Air Temp 31 °C (88 °F)[1],1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,112810.0,112810.0,112810.0,26,5,73,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,2,74.0,75.0,75.0,72.0,71.0 +12.0,13,11,0.0,60,,50.0,10.0,113198.0,161.335,maldonado,13.0,Venezuelan,williams,British,2011,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,+1 Lap,0.0,5.0,9.0,0.0,109710.0,108270.0,108270.0,39,26,Hot and humid Air Temp 31 °C (88 °F)[1],1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,108270.0,109710.0,108750.0,26,0,14,0,0,0,0,0,0,0,0,0,1,1,0,0,2,1,1,1,3,58.0,72.0,78.0,73.0,72.0 +6.0,6,9,2.0,60,,26.0,8.0,112550.0,162.263,massa,19.0,Brazilian,ferrari,Italian,2011,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,+1 Lap,0.0,268.0,3.0,1.0,107945.0,105955.0,105800.0,43,30,Hot and humid Air Temp 31 °C (88 °F)[1],1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,105800.0,107945.0,106566.66666666669,25,5,96,0,0,0,0,4,4,1,1,0,0,1,0,0,0,0,0,0,0,96.0,84.0,79.0,78.0,77.0 +17.0,11,10,1.0,60,,42.0,18.0,114615.0,159.34,perez,11.0,Mexican,sauber,Swiss,2011,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,+1 Lap,0.0,36.0,7.0,0.0,107717.0,107616.0,107616.0,34,21,Hot and humid Air Temp 31 °C (88 °F)[1],1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,107616.0,107717.0,107649.66666666669,21,0,13,0,0,0,0,0,0,1,0,1,0,2,0,0,1,1,0,2,0,58.0,72.0,78.0,73.0,72.0 +10.0,18,17,0.0,59,,56.0,14.0,114204.0,159.913,petrov,83.0,Russian,renault,French,2011,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,+2 Laps,0.0,70.0,5.0,0.0,109835.0,109835.0,109835.0,40,27,Hot and humid Air Temp 31 °C (88 °F)[1],1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,109835.0,109835.0,109835.0,26,1,33,1,0,1,0,1,0,0,1,2,1,1,2,0,0,1,0,1,0,58.0,72.0,78.0,73.0,72.0 +15.0,10,6,8.0,61,7257824.0,41.0,15.0,114239.0,159.864,resta,95.0,British,force_india,Indian,2011,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,48.0,6.0,0.0,108022.0,107486.0,107486.0,38,25,Hot and humid Air Temp 31 °C (88 °F)[1],1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,107486.0,108022.0,107664.66666666669,25,0,14,0,0,0,0,0,0,1,1,0,2,2,2,1,1,1,0,0,1,58.0,72.0,78.0,73.0,72.0 +22.0,23,19,0.0,57,,40.0,23.0,119064.0,153.386,ricciardo,3.0,Australian,hrt,Spanish,2011,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,+4 Laps,0.0,0.0,11.0,0.0,112404.0,112404.0,112404.0,35,22,Hot and humid Air Temp 31 °C (88 °F)[1],1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,112404.0,112404.0,112404.0,22,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,58.0,72.0,78.0,73.0,72.0 +8.0,7,7,6.0,60,,42.0,16.0,114383.0,159.663,rosberg,6.0,German,mercedes,German,2011,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,+1 Lap,0.0,114.0,4.0,0.0,107688.0,106405.0,106013.0,39,26,Hot and humid Air Temp 31 °C (88 °F)[1],1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,106013.0,107688.0,106702.0,21,5,103,0,0,0,0,2,2,3,0,1,0,2,1,0,0,0,0,1,0,102.0,87.0,81.0,81.0,79.0 +14.0,9,8,4.0,60,,45.0,17.0,114564.0,159.411,sutil,99.0,German,force_india,Indian,2011,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,+1 Lap,0.0,48.0,6.0,0.0,107952.0,107093.0,107093.0,41,28,Hot and humid Air Temp 31 °C (88 °F)[1],1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,107093.0,107952.0,107379.33333333331,24,4,85,0,0,0,0,0,1,2,0,2,0,2,0,2,1,1,0,0,0,77.0,76.0,76.0,70.0,71.0 +1.0,1,1,25.0,61,7146757.0,51.0,2.0,108688.0,168.029,vettel,5.0,German,red_bull,Austrian,2011,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,8.0,491.0,1.0,9.0,106397.0,104931.0,104381.0,37,24,Hot and humid Air Temp 31 °C (88 °F)[1],1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,104381.0,106397.0,105236.33333333331,20,4,76,12,4,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +2.0,2,3,15.0,61,7176036.0,54.0,3.0,110088.0,165.892,webber,91.0,Australian,red_bull,Austrian,2011,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,491.0,1.0,9.0,107332.0,105651.0,104732.0,48,35,Hot and humid Air Temp 31 °C (88 °F)[1],1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,104732.0,107332.0,105905.0,30,5,103,7,2,5,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,102.0,87.0,81.0,81.0,79.0 +19.0,16,15,0.0,53,5520050.0,41.0,8.0,97411.0,214.608,alguersuari,66.0,Spanish,toro_rosso,Italian,2011,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,29.0,8.0,0.0,95111.0,93427.0,93427.0,34,21,Sunny and dry Air Temp 24 °C (75 °F)[3],1,0,1,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,93427.0,95111.0,93988.33333333331,19,2,42,0,0,0,0,0,0,1,2,0,2,1,1,0,1,0,2,0,0,72.0,76.0,76.0,76.0,74.0 +5.0,5,2,18.0,53,5454587.0,50.0,4.0,96682.0,216.226,alonso,14.0,Spanish,ferrari,Italian,2011,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,1.0,292.0,3.0,1.0,92817.0,91612.0,90886.0,43,30,Sunny and dry Air Temp 24 °C (75 °F)[3],1,0,1,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,90886.0,92817.0,91771.66666666669,25,5,104,7,3,3,3,1,1,1,0,0,0,0,0,0,0,0,0,0,0,107.0,80.0,80.0,79.0,78.0 +11.0,13,17,0.0,53,5527618.0,53.0,16.0,99080.0,210.993,barrichello,96.0,Brazilian,williams,British,2011,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,5.0,9.0,0.0,93921.0,93079.0,93079.0,52,39,Sunny and dry Air Temp 24 °C (75 °F)[3],1,0,1,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,93079.0,93921.0,93359.66666666669,34,5,104,0,0,0,0,0,0,0,0,2,0,0,2,4,0,1,2,1,0,107.0,80.0,80.0,79.0,78.0 +9.0,9,16,0.0,53,5526055.0,42.0,15.0,98407.0,212.436,bruno_senna,85.0,Brazilian,renault,French,2011,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,72.0,5.0,0.0,93359.0,92297.0,92297.0,41,28,Sunny and dry Air Temp 24 °C (75 °F)[3],1,0,1,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,92297.0,93359.0,92651.0,27,1,22,0,0,0,0,0,0,0,0,1,0,0,0,1,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +4.0,2,1,25.0,53,5453427.0,52.0,1.0,96568.0,216.481,button,22.0,British,mclaren,British,2011,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,2.0,388.0,2.0,5.0,92947.0,91434.0,90475.0,44,31,Sunny and dry Air Temp 24 °C (75 °F)[3],1,0,1,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,90475.0,92947.0,91618.66666666669,26,5,104,8,3,3,1,0,3,0,0,0,0,0,0,0,0,0,0,0,0,107.0,80.0,80.0,79.0,78.0 +24.0,21,20,0.0,51,,46.0,21.0,101704.0,205.549,glock,65.0,German,virgin,British,2011,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+2 Laps,0.0,0.0,12.0,0.0,96507.0,96507.0,96507.0,42,29,Sunny and dry Air Temp 24 °C (75 °F)[3],1,0,1,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,96507.0,96507.0,96507.0,26,3,67,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,3,2,1,72.0,76.0,76.0,76.0,74.0 +3.0,3,5,10.0,53,5477695.0,49.0,9.0,97645.0,214.093,hamilton,44.0,British,mclaren,British,2011,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,2.0,388.0,2.0,5.0,92843.0,91139.0,90617.0,39,26,Sunny and dry Air Temp 24 °C (75 °F)[3],1,0,1,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,90617.0,92843.0,91533.0,22,4,86,4,2,0,5,1,1,0,1,0,0,0,0,0,0,0,0,0,0,91.0,83.0,77.0,75.0,75.0 +16.0,7,13,0.0,53,5517132.0,44.0,19.0,99724.0,209.63,kobayashi,10.0,Japanese,sauber,Swiss,2011,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,40.0,7.0,0.0,92626.0,92380.0,92380.0,38,25,Sunny and dry Air Temp 24 °C (75 °F)[3],1,0,1,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,92380.0,92626.0,92462.0,23,2,36,0,0,0,0,1,0,2,0,1,3,1,1,0,1,0,1,0,1,58.0,72.0,78.0,73.0,72.0 +20.0,18,18,0.0,53,5541251.0,50.0,17.0,99297.0,210.532,kovalainen,52.0,Finnish,lotus_racing,Malaysian,2011,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,0.0,10.0,0.0,95454.0,95454.0,95454.0,43,30,Sunny and dry Air Temp 24 °C (75 °F)[3],1,0,1,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,95454.0,95454.0,95454.0,26,4,86,0,0,0,0,0,0,0,0,0,0,0,0,1,1,2,3,0,1,91.0,83.0,77.0,75.0,75.0 +12.0,14,14,0.0,53,5517621.0,50.0,10.0,97645.0,214.093,maldonado,13.0,Venezuelan,williams,British,2011,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,5.0,9.0,0.0,93781.0,93224.0,93224.0,39,26,Sunny and dry Air Temp 24 °C (75 °F)[3],1,0,1,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,93224.0,93781.0,93409.66666666669,26,0,15,0,0,0,0,0,0,0,0,0,1,2,0,0,2,1,1,1,3,58.0,72.0,78.0,73.0,72.0 +6.0,4,7,6.0,53,5481667.0,50.0,11.0,97800.0,213.754,massa,19.0,Brazilian,ferrari,Italian,2011,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,292.0,3.0,1.0,93235.0,91909.0,90804.0,43,30,Sunny and dry Air Temp 24 °C (75 °F)[3],1,0,1,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,90804.0,93235.0,91982.66666666669,25,5,97,0,0,0,0,4,4,1,1,1,0,1,0,0,0,0,0,0,0,100.0,83.0,81.0,81.0,78.0 +7.0,8,6,8.0,53,5480547.0,53.0,12.0,97916.0,213.501,michael_schumacher,60.0,German,mercedes,German,2011,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,123.0,4.0,0.0,93748.0,92116.0,92116.0,55,42,Sunny and dry Air Temp 24 °C (75 °F)[3],1,0,1,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,92116.0,93748.0,92660.0,37,5,52,0,0,0,1,2,1,0,2,2,0,0,1,0,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +17.0,17,8,4.0,53,5492804.0,39.0,2.0,96569.0,216.479,perez,11.0,Mexican,sauber,Swiss,2011,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,40.0,7.0,0.0,94704.0,94704.0,94704.0,34,21,Sunny and dry Air Temp 24 °C (75 °F)[3],1,0,1,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,94704.0,94704.0,94704.0,21,0,14,0,0,0,0,0,0,1,0,1,1,2,0,0,1,1,0,2,0,58.0,72.0,78.0,73.0,72.0 +10.0,10,9,2.0,53,5496034.0,47.0,7.0,97053.0,215.399,petrov,83.0,Russian,renault,French,2011,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,72.0,5.0,0.0,92877.0,92245.0,92245.0,40,27,Sunny and dry Air Temp 24 °C (75 °F)[3],1,0,1,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,92245.0,92877.0,92455.66666666669,26,1,34,1,0,1,0,1,0,0,1,2,1,1,2,0,0,1,0,2,0,58.0,72.0,78.0,73.0,72.0 +15.0,12,12,0.0,53,5515753.0,43.0,13.0,97970.0,213.383,resta,95.0,British,force_india,Indian,2011,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,48.0,6.0,0.0,93499.0,92746.0,92746.0,38,25,Sunny and dry Air Temp 24 °C (75 °F)[3],1,0,1,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,92746.0,93499.0,92997.0,25,0,15,0,0,0,0,0,1,1,1,0,2,2,2,1,1,1,0,0,1,58.0,72.0,78.0,73.0,72.0 +8.0,23,10,1.0,53,5497749.0,50.0,3.0,96614.0,216.378,rosberg,6.0,German,mercedes,German,2011,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,123.0,4.0,0.0,97846.0,97846.0,97846.0,39,26,Sunny and dry Air Temp 24 °C (75 °F)[3],1,0,1,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,97846.0,97846.0,97846.0,21,5,104,0,0,0,0,2,2,4,0,1,0,2,1,0,0,0,0,1,0,107.0,80.0,80.0,79.0,78.0 +14.0,11,11,0.0,53,5507874.0,43.0,14.0,98133.0,213.029,sutil,99.0,German,force_india,Indian,2011,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,48.0,6.0,0.0,92761.0,92463.0,92463.0,41,28,Sunny and dry Air Temp 24 °C (75 °F)[3],1,0,1,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,92463.0,92761.0,92562.33333333331,24,4,86,0,0,0,0,0,1,2,1,2,0,2,0,2,1,1,0,0,0,91.0,83.0,77.0,75.0,75.0 +21.0,19,19,0.0,53,5549567.0,49.0,18.0,99561.0,209.973,trulli,75.0,Italian,lotus_racing,Malaysian,2011,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,0.0,10.0,0.0,95514.0,95514.0,95514.0,50,37,Sunny and dry Air Temp 24 °C (75 °F)[3],1,0,1,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,95514.0,95514.0,95514.0,32,5,103,0,0,0,0,0,0,0,0,0,0,0,0,2,2,0,0,1,2,102.0,87.0,81.0,81.0,79.0 +1.0,1,3,15.0,53,5455433.0,52.0,6.0,96916.0,215.704,vettel,5.0,German,red_bull,Austrian,2011,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,9.0,518.0,1.0,9.0,93051.0,91424.0,90466.0,37,24,Sunny and dry Air Temp 24 °C (75 °F)[3],1,0,1,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,90466.0,93051.0,91647.0,20,4,77,13,4,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +2.0,6,4,12.0,53,5461498.0,47.0,5.0,96828.0,215.9,webber,91.0,Australian,red_bull,Austrian,2011,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,518.0,1.0,9.0,93135.0,91576.0,91156.0,48,35,Sunny and dry Air Temp 24 °C (75 °F)[3],1,0,1,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,91156.0,93135.0,91955.66666666669,30,5,104,8,2,6,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,107.0,80.0,80.0,79.0,78.0 +19.0,11,7,6.0,55,5931532.0,55.0,8.0,100940.0,200.257,alguersuari,66.0,Spanish,toro_rosso,Italian,2011,16,Korean Grand Prix,21600000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,Finished,0.0,37.0,8.0,0.0,99392.0,98315.0,98315.0,34,21,"Dry, light rain at the start Air Temp 21 °C (70 °F)[2]",0,0,1,1,0,Race circuit,Anti-clockwise,5.615,55.0,309.155,98315.0,99392.0,98674.0,19,2,43,0,0,0,0,0,0,1,2,0,2,1,1,0,1,1,2,0,0,72.0,76.0,76.0,76.0,74.0 +5.0,6,5,10.0,55,5897683.0,41.0,6.0,100547.0,201.04,alonso,14.0,Spanish,ferrari,Italian,2011,16,Korean Grand Prix,21600000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,Finished,1.0,310.0,3.0,1.0,98393.0,97352.0,96980.0,43,30,"Dry, light rain at the start Air Temp 21 °C (70 °F)[2]",0,0,1,1,0,Race circuit,Anti-clockwise,5.615,55.0,309.155,96980.0,98393.0,97575.0,25,5,105,8,4,3,3,1,1,1,0,0,0,0,0,0,0,0,0,0,0,107.0,80.0,80.0,79.0,78.0 +25.0,22,20,0.0,54,,53.0,20.0,104746.0,192.981,ambrosio,70.0,Belgian,virgin,British,2011,16,Korean Grand Prix,21600000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,+1 Lap,0.0,0.0,12.0,0.0,103483.0,103483.0,103483.0,39,26,"Dry, light rain at the start Air Temp 21 °C (70 °F)[2]",0,0,1,1,0,Race circuit,Anti-clockwise,5.615,55.0,309.155,103483.0,103483.0,103483.0,26,0,16,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,0,2,2,58.0,72.0,78.0,73.0,72.0 +11.0,18,12,0.0,55,5975062.0,54.0,13.0,102371.0,197.458,barrichello,96.0,Brazilian,williams,British,2011,16,Korean Grand Prix,21600000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,Finished,0.0,5.0,9.0,0.0,99538.0,99538.0,99538.0,52,39,"Dry, light rain at the start Air Temp 21 °C (70 °F)[2]",0,0,1,1,0,Race circuit,Anti-clockwise,5.615,55.0,309.155,99538.0,99538.0,99538.0,34,5,105,0,0,0,0,0,0,0,0,2,0,0,2,4,0,1,2,2,0,107.0,80.0,80.0,79.0,78.0 +9.0,15,13,0.0,54,,41.0,16.0,102549.0,197.115,bruno_senna,85.0,Brazilian,renault,French,2011,16,Korean Grand Prix,21600000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,+1 Lap,0.0,72.0,5.0,0.0,99316.0,98791.0,98791.0,41,28,"Dry, light rain at the start Air Temp 21 °C (70 °F)[2]",0,0,1,1,0,Race circuit,Anti-clockwise,5.615,55.0,309.155,98791.0,99316.0,98966.0,27,1,23,0,0,0,0,0,0,0,0,1,0,0,0,1,0,1,1,0,0,58.0,72.0,78.0,73.0,72.0 +18.0,13,9,2.0,55,5944756.0,50.0,4.0,100537.0,201.06,buemi,92.0,Swiss,toro_rosso,Italian,2011,16,Korean Grand Prix,21600000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,Finished,0.0,37.0,8.0,0.0,99352.0,98508.0,98508.0,36,23,"Dry, light rain at the start Air Temp 21 °C (70 °F)[2]",0,0,1,1,0,Race circuit,Anti-clockwise,5.615,55.0,309.155,98508.0,99352.0,98789.33333333331,21,2,52,0,0,0,0,0,0,0,2,1,3,0,1,2,2,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +4.0,3,4,12.0,55,5896688.0,55.0,7.0,100709.0,200.716,button,22.0,British,mclaren,British,2011,16,Korean Grand Prix,21600000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,Finished,3.0,418.0,2.0,5.0,97929.0,97302.0,96126.0,44,31,"Dry, light rain at the start Air Temp 21 °C (70 °F)[2]",0,0,1,1,0,Race circuit,Anti-clockwise,5.615,55.0,309.155,96126.0,97929.0,97119.0,26,5,105,9,3,3,1,0,3,0,0,0,0,0,0,0,0,0,0,0,0,107.0,80.0,80.0,79.0,78.0 +24.0,21,18,0.0,54,,53.0,18.0,104536.0,193.368,glock,65.0,German,virgin,British,2011,16,Korean Grand Prix,21600000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,+1 Lap,0.0,0.0,12.0,0.0,102091.0,102091.0,102091.0,42,29,"Dry, light rain at the start Air Temp 21 °C (70 °F)[2]",0,0,1,1,0,Race circuit,Anti-clockwise,5.615,55.0,309.155,102091.0,102091.0,102091.0,26,3,68,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,3,2,1,72.0,76.0,76.0,76.0,74.0 +3.0,1,2,18.0,55,5894013.0,54.0,3.0,100459.0,201.216,hamilton,44.0,British,mclaren,British,2011,16,Korean Grand Prix,21600000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,Finished,2.0,418.0,2.0,5.0,97525.0,96526.0,95820.0,39,26,"Dry, light rain at the start Air Temp 21 °C (70 °F)[2]",0,0,1,1,0,Race circuit,Anti-clockwise,5.615,55.0,309.155,95820.0,97525.0,96623.66666666669,22,4,87,4,2,0,5,2,1,0,1,0,0,0,0,0,0,0,0,0,0,91.0,83.0,77.0,75.0,75.0 +16.0,14,15,0.0,54,,45.0,11.0,102080.0,198.021,kobayashi,10.0,Japanese,sauber,Swiss,2011,16,Korean Grand Prix,21600000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,+1 Lap,0.0,40.0,7.0,0.0,99464.0,98775.0,98775.0,38,25,"Dry, light rain at the start Air Temp 21 °C (70 °F)[2]",0,0,1,1,0,Race circuit,Anti-clockwise,5.615,55.0,309.155,98775.0,99464.0,99004.66666666669,23,2,37,0,0,0,0,1,0,2,0,1,3,1,1,1,1,0,1,0,1,72.0,76.0,76.0,76.0,74.0 +20.0,19,14,0.0,54,,52.0,15.0,102456.0,197.294,kovalainen,52.0,Finnish,lotus_racing,Malaysian,2011,16,Korean Grand Prix,21600000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,+1 Lap,0.0,0.0,10.0,0.0,100522.0,100522.0,100522.0,43,30,"Dry, light rain at the start Air Temp 21 °C (70 °F)[2]",0,0,1,1,0,Race circuit,Anti-clockwise,5.615,55.0,309.155,100522.0,100522.0,100522.0,26,4,87,0,0,0,0,0,0,0,0,0,0,0,0,1,1,2,3,0,2,91.0,83.0,77.0,75.0,75.0 +6.0,5,6,8.0,55,5907127.0,51.0,5.0,100541.0,201.052,massa,19.0,Brazilian,ferrari,Italian,2011,16,Korean Grand Prix,21600000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,Finished,0.0,310.0,3.0,1.0,98670.0,97313.0,96831.0,43,30,"Dry, light rain at the start Air Temp 21 °C (70 °F)[2]",0,0,1,1,0,Race circuit,Anti-clockwise,5.615,55.0,309.155,96831.0,98670.0,97604.66666666669,25,5,98,0,0,0,0,4,4,2,1,1,0,1,0,0,0,0,0,0,0,100.0,83.0,81.0,81.0,78.0 +17.0,17,16,0.0,54,,39.0,14.0,102425.0,197.354,perez,11.0,Mexican,sauber,Swiss,2011,16,Korean Grand Prix,21600000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,+1 Lap,0.0,40.0,7.0,0.0,99097.0,99443.0,99443.0,34,21,"Dry, light rain at the start Air Temp 21 °C (70 °F)[2]",0,0,1,1,0,Race circuit,Anti-clockwise,5.615,55.0,309.155,99097.0,99443.0,99327.66666666669,21,0,15,0,0,0,0,0,0,1,1,1,1,2,0,0,1,1,0,2,0,58.0,72.0,78.0,73.0,72.0 +15.0,9,10,1.0,55,5950596.0,50.0,12.0,102102.0,197.978,resta,95.0,British,force_india,Indian,2011,16,Korean Grand Prix,21600000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,Finished,0.0,49.0,6.0,0.0,98549.0,98254.0,98254.0,38,25,"Dry, light rain at the start Air Temp 21 °C (70 °F)[2]",0,0,1,1,0,Race circuit,Anti-clockwise,5.615,55.0,309.155,98254.0,98549.0,98352.33333333331,25,0,16,0,0,0,0,0,1,1,1,0,2,2,3,1,1,1,0,0,1,58.0,72.0,78.0,73.0,72.0 +22.0,24,19,0.0,54,,53.0,21.0,104870.0,192.752,ricciardo,3.0,Australian,hrt,Spanish,2011,16,Korean Grand Prix,21600000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,+1 Lap,0.0,0.0,11.0,0.0,103758.0,103758.0,103758.0,35,22,"Dry, light rain at the start Air Temp 21 °C (70 °F)[2]",0,0,1,1,0,Race circuit,Anti-clockwise,5.615,55.0,309.155,103758.0,103758.0,103758.0,22,0,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,58.0,72.0,78.0,73.0,72.0 +8.0,7,8,4.0,55,5936047.0,49.0,9.0,101770.0,198.624,rosberg,6.0,German,mercedes,German,2011,16,Korean Grand Prix,21600000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,Finished,0.0,127.0,4.0,0.0,98426.0,97892.0,97754.0,39,26,"Dry, light rain at the start Air Temp 21 °C (70 °F)[2]",0,0,1,1,0,Race circuit,Anti-clockwise,5.615,55.0,309.155,97754.0,98426.0,98024.0,21,5,105,0,0,0,0,2,2,4,0,1,1,2,1,0,0,0,0,1,0,107.0,80.0,80.0,79.0,78.0 +14.0,10,11,0.0,55,5953223.0,49.0,10.0,102014.0,198.149,sutil,99.0,German,force_india,Indian,2011,16,Korean Grand Prix,21600000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,Finished,0.0,49.0,6.0,0.0,98789.0,98219.0,98219.0,41,28,"Dry, light rain at the start Air Temp 21 °C (70 °F)[2]",0,0,1,1,0,Race circuit,Anti-clockwise,5.615,55.0,309.155,98219.0,98789.0,98409.0,24,4,87,0,0,0,0,0,1,2,1,2,0,3,0,2,1,1,0,0,0,91.0,83.0,77.0,75.0,75.0 +21.0,20,17,0.0,54,,46.0,17.0,103009.0,196.235,trulli,75.0,Italian,lotus_racing,Malaysian,2011,16,Korean Grand Prix,21600000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,+1 Lap,0.0,0.0,10.0,0.0,101101.0,101101.0,101101.0,50,37,"Dry, light rain at the start Air Temp 21 °C (70 °F)[2]",0,0,1,1,0,Race circuit,Anti-clockwise,5.615,55.0,309.155,101101.0,101101.0,101101.0,32,5,104,0,0,0,0,0,0,0,0,0,0,0,0,2,2,0,0,1,2,107.0,80.0,80.0,79.0,78.0 +1.0,2,1,25.0,55,5881994.0,55.0,1.0,99605.0,202.941,vettel,5.0,German,red_bull,Austrian,2011,16,Korean Grand Prix,21600000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,Finished,9.0,558.0,1.0,10.0,99093.0,97285.0,96042.0,37,24,"Dry, light rain at the start Air Temp 21 °C (70 °F)[2]",0,0,1,1,0,Race circuit,Anti-clockwise,5.615,55.0,309.155,96042.0,99093.0,97473.33333333331,20,4,78,14,4,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +2.0,4,3,15.0,55,5894471.0,55.0,2.0,100294.0,201.547,webber,91.0,Australian,red_bull,Austrian,2011,16,Korean Grand Prix,21600000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,Finished,0.0,558.0,1.0,10.0,99071.0,97292.0,96468.0,48,35,"Dry, light rain at the start Air Temp 21 °C (70 °F)[2]",0,0,1,1,0,Race circuit,Anti-clockwise,5.615,55.0,309.155,96468.0,99071.0,97610.33333333331,30,5,105,8,2,6,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,107.0,80.0,80.0,79.0,78.0 +19.0,10,8,4.0,59,,57.0,10.0,89239.0,206.748,alguersuari,66.0,Spanish,toro_rosso,Italian,2011,17,Indian Grand Prix,34200000.0,buddh,Uttar Pradesh,India,28.3487,77.5331,194.0,+1 Lap,0.0,41.0,8.0,0.0,86557.0,86319.0,86319.0,34,21,Fine and Dry Air Temp 30 °C (86 °F)[1],1,0,1,0,0,Race circuit,Clockwise,5.141,60.0,307.249,86319.0,86557.0,86398.33333333333,19,2,44,0,0,0,0,0,0,2,2,0,2,1,1,0,1,1,2,0,0,72.0,76.0,76.0,76.0,74.0 +5.0,3,3,15.0,60,5459303.0,58.0,3.0,87953.0,209.771,alonso,14.0,Spanish,ferrari,Italian,2011,17,Indian Grand Prix,34200000.0,buddh,Uttar Pradesh,India,28.3487,77.5331,194.0,Finished,1.0,325.0,3.0,1.0,86774.0,85158.0,84519.0,43,30,Fine and Dry Air Temp 30 °C (86 °F)[1],1,0,1,0,0,Race circuit,Clockwise,5.141,60.0,307.249,84519.0,86774.0,85483.66666666667,25,5,106,8,4,3,3,2,1,1,0,0,0,0,0,0,0,0,0,0,0,107.0,80.0,80.0,79.0,78.0 +25.0,21,16,0.0,57,,51.0,21.0,91990.0,200.565,ambrosio,70.0,Belgian,virgin,British,2011,17,Indian Grand Prix,34200000.0,buddh,Uttar Pradesh,India,28.3487,77.5331,194.0,+3 Laps,0.0,0.0,12.0,0.0,90866.0,90866.0,90866.0,39,26,Fine and Dry Air Temp 30 °C (86 °F)[1],1,0,1,0,0,Race circuit,Clockwise,5.141,60.0,307.249,90866.0,90866.0,90866.0,26,0,17,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,0,2,2,58.0,72.0,78.0,73.0,72.0 +11.0,15,15,0.0,58,,56.0,7.0,88635.0,208.157,barrichello,96.0,Brazilian,williams,British,2011,17,Indian Grand Prix,34200000.0,buddh,Uttar Pradesh,India,28.3487,77.5331,194.0,+2 Laps,0.0,5.0,9.0,0.0,87479.0,87247.0,87247.0,52,39,Fine and Dry Air Temp 30 °C (86 °F)[1],1,0,1,0,0,Race circuit,Clockwise,5.141,60.0,307.249,87247.0,87479.0,87324.33333333333,34,5,106,0,0,0,0,0,0,0,0,2,0,0,3,4,0,1,2,2,0,107.0,80.0,80.0,79.0,78.0 +9.0,14,12,0.0,59,,55.0,13.0,89310.0,206.583,bruno_senna,85.0,Brazilian,renault,French,2011,17,Indian Grand Prix,34200000.0,buddh,Uttar Pradesh,India,28.3487,77.5331,194.0,+1 Lap,0.0,72.0,5.0,0.0,86766.0,86651.0,86651.0,41,28,Fine and Dry Air Temp 30 °C (86 °F)[1],1,0,1,0,0,Race circuit,Clockwise,5.141,60.0,307.249,86651.0,86766.0,86689.33333333333,27,1,24,0,0,0,0,0,0,0,0,1,0,0,0,2,0,1,1,0,0,58.0,72.0,78.0,73.0,72.0 +4.0,4,2,18.0,60,5443435.0,60.0,4.0,87967.0,209.737,button,22.0,British,mclaren,British,2011,17,Indian Grand Prix,34200000.0,buddh,Uttar Pradesh,India,28.3487,77.5331,194.0,Finished,3.0,442.0,2.0,5.0,86225.0,85299.0,84950.0,44,31,Fine and Dry Air Temp 30 °C (86 °F)[1],1,0,1,0,0,Race circuit,Clockwise,5.141,60.0,307.249,84950.0,86225.0,85491.33333333333,26,5,106,9,3,3,2,0,3,0,0,0,0,0,0,0,0,0,0,0,0,107.0,80.0,80.0,79.0,78.0 +3.0,5,7,6.0,60,5519185.0,58.0,9.0,88721.0,207.955,hamilton,44.0,British,mclaren,British,2011,17,Indian Grand Prix,34200000.0,buddh,Uttar Pradesh,India,28.3487,77.5331,194.0,Finished,2.0,442.0,2.0,5.0,86563.0,85019.0,84474.0,39,26,Fine and Dry Air Temp 30 °C (86 °F)[1],1,0,1,0,0,Race circuit,Clockwise,5.141,60.0,307.249,84474.0,86563.0,85352.0,22,4,88,5,3,0,5,2,1,0,1,0,0,0,0,0,0,0,0,0,0,91.0,83.0,77.0,75.0,75.0 +22.0,24,17,0.0,57,,44.0,20.0,91988.0,200.569,karthikeyan,56.0,Indian,hrt,Spanish,2011,17,Indian Grand Prix,34200000.0,buddh,Uttar Pradesh,India,28.3487,77.5331,194.0,+3 Laps,0.0,0.0,11.0,0.0,90238.0,90238.0,90238.0,47,34,Fine and Dry Air Temp 30 °C (86 °F)[1],1,0,1,0,0,Race circuit,Clockwise,5.141,60.0,307.249,90238.0,90238.0,90238.0,34,0,9,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +20.0,18,14,0.0,58,,58.0,16.0,90294.0,204.332,kovalainen,52.0,Finnish,lotus_racing,Malaysian,2011,17,Indian Grand Prix,34200000.0,buddh,Uttar Pradesh,India,28.3487,77.5331,194.0,+2 Laps,0.0,0.0,10.0,0.0,88565.0,88565.0,88565.0,43,30,Fine and Dry Air Temp 30 °C (86 °F)[1],1,0,1,0,0,Race circuit,Clockwise,5.141,60.0,307.249,88565.0,88565.0,88565.0,26,4,88,0,0,0,0,0,0,0,0,0,0,0,0,1,2,2,3,0,2,91.0,83.0,77.0,75.0,75.0 +7.0,11,5,10.0,60,5500423.0,48.0,5.0,88549.0,208.359,michael_schumacher,60.0,German,mercedes,German,2011,17,Indian Grand Prix,34200000.0,buddh,Uttar Pradesh,India,28.3487,77.5331,194.0,Finished,0.0,145.0,4.0,0.0,86790.0,86337.0,86337.0,55,42,Fine and Dry Air Temp 30 °C (86 °F)[1],1,0,1,0,0,Race circuit,Clockwise,5.141,60.0,307.249,86337.0,86790.0,86488.0,37,5,54,0,0,0,1,2,2,0,2,2,0,0,1,0,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +17.0,20,10,1.0,59,,58.0,14.0,89345.0,206.502,perez,11.0,Mexican,sauber,Swiss,2011,17,Indian Grand Prix,34200000.0,buddh,Uttar Pradesh,India,28.3487,77.5331,194.0,+1 Lap,0.0,41.0,7.0,0.0,87249.0,87562.0,87562.0,34,21,Fine and Dry Air Temp 30 °C (86 °F)[1],1,0,1,0,0,Race circuit,Clockwise,5.141,60.0,307.249,87249.0,87562.0,87457.66666666667,21,0,16,0,0,0,0,0,0,1,1,1,1,2,0,0,1,1,1,2,0,58.0,72.0,78.0,73.0,72.0 +10.0,16,11,0.0,59,,58.0,11.0,89289.0,206.632,petrov,83.0,Russian,renault,French,2011,17,Indian Grand Prix,34200000.0,buddh,Uttar Pradesh,India,28.3487,77.5331,194.0,+1 Lap,0.0,72.0,5.0,0.0,86189.0,86319.0,86319.0,40,27,Fine and Dry Air Temp 30 °C (86 °F)[1],1,0,1,0,0,Race circuit,Clockwise,5.141,60.0,307.249,86189.0,86319.0,86275.66666666667,26,1,36,1,0,1,0,1,0,0,1,3,1,1,2,0,0,1,0,2,0,58.0,72.0,78.0,73.0,72.0 +15.0,12,13,0.0,59,,59.0,8.0,88679.0,208.053,resta,95.0,British,force_india,Indian,2011,17,Indian Grand Prix,34200000.0,buddh,Uttar Pradesh,India,28.3487,77.5331,194.0,+1 Lap,0.0,51.0,6.0,0.0,86864.0,86503.0,86503.0,38,25,Fine and Dry Air Temp 30 °C (86 °F)[1],1,0,1,0,0,Race circuit,Clockwise,5.141,60.0,307.249,86503.0,86864.0,86623.33333333333,25,0,17,0,0,0,0,0,1,1,1,0,3,2,3,1,1,1,0,0,1,58.0,72.0,78.0,73.0,72.0 +23.0,23,18,0.0,57,,49.0,18.0,91674.0,201.256,ricciardo,3.0,Australian,hrt,Spanish,2011,17,Indian Grand Prix,34200000.0,buddh,Uttar Pradesh,India,28.3487,77.5331,194.0,+3 Laps,0.0,0.0,11.0,0.0,90216.0,90216.0,90216.0,35,22,Fine and Dry Air Temp 30 °C (86 °F)[1],1,0,1,0,0,Race circuit,Clockwise,5.141,60.0,307.249,90216.0,90216.0,90216.0,22,0,9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,58.0,72.0,78.0,73.0,72.0 +8.0,7,6,8.0,60,5501853.0,59.0,6.0,88600.0,208.239,rosberg,6.0,German,mercedes,German,2011,17,Indian Grand Prix,34200000.0,buddh,Uttar Pradesh,India,28.3487,77.5331,194.0,Finished,0.0,145.0,4.0,0.0,86364.0,85555.0,85451.0,39,26,Fine and Dry Air Temp 30 °C (86 °F)[1],1,0,1,0,0,Race circuit,Clockwise,5.141,60.0,307.249,85451.0,86364.0,85790.0,21,5,106,0,0,0,0,2,2,4,1,1,1,2,1,0,0,0,0,1,0,107.0,80.0,80.0,79.0,78.0 +14.0,8,9,2.0,59,,59.0,12.0,89289.0,206.632,sutil,99.0,German,force_india,Indian,2011,17,Indian Grand Prix,34200000.0,buddh,Uttar Pradesh,India,28.3487,77.5331,194.0,+1 Lap,0.0,51.0,6.0,0.0,86271.0,86140.0,86140.0,41,28,Fine and Dry Air Temp 30 °C (86 °F)[1],1,0,1,0,0,Race circuit,Clockwise,5.141,60.0,307.249,86140.0,86271.0,86183.66666666667,24,4,88,0,0,0,0,0,1,2,1,2,0,4,0,2,1,1,0,0,0,91.0,83.0,77.0,75.0,75.0 +21.0,19,19,0.0,55,,52.0,19.0,91691.0,201.219,trulli,75.0,Italian,lotus_racing,Malaysian,2011,17,Indian Grand Prix,34200000.0,buddh,Uttar Pradesh,India,28.3487,77.5331,194.0,+5 Laps,0.0,0.0,10.0,0.0,88752.0,88752.0,88752.0,50,37,Fine and Dry Air Temp 30 °C (86 °F)[1],1,0,1,0,0,Race circuit,Clockwise,5.141,60.0,307.249,88752.0,88752.0,88752.0,32,5,105,0,0,0,0,0,0,0,0,0,0,0,0,2,2,0,0,2,2,107.0,80.0,80.0,79.0,78.0 +1.0,1,1,25.0,60,5435002.0,60.0,1.0,87249.0,211.463,vettel,5.0,German,red_bull,Austrian,2011,17,Indian Grand Prix,34200000.0,buddh,Uttar Pradesh,India,28.3487,77.5331,194.0,Finished,10.0,595.0,1.0,11.0,86218.0,84657.0,84178.0,37,24,Fine and Dry Air Temp 30 °C (86 °F)[1],1,0,1,0,0,Race circuit,Clockwise,5.141,60.0,307.249,84178.0,86218.0,85017.66666666667,20,4,79,15,4,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +2.0,2,4,12.0,60,5460531.0,59.0,2.0,87520.0,210.808,webber,91.0,Australian,red_bull,Austrian,2011,17,Indian Grand Prix,34200000.0,buddh,Uttar Pradesh,India,28.3487,77.5331,194.0,Finished,0.0,595.0,1.0,11.0,86473.0,85282.0,84508.0,48,35,Fine and Dry Air Temp 30 °C (86 °F)[1],1,0,1,0,0,Race circuit,Clockwise,5.141,60.0,307.249,84508.0,86473.0,85421.0,30,5,106,9,2,7,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,107.0,80.0,80.0,79.0,78.0 +19.0,15,15,0.0,54,,47.0,8.0,104093.0,192.082,alguersuari,66.0,Spanish,toro_rosso,Italian,2011,18,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,41.0,8.0,0.0,101386.0,101162.0,101162.0,34,21,Fine and Dry Air Temp 25 °C (77 °F)[1],1,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,101162.0,101386.0,101236.66666666669,19,2,45,0,0,0,0,0,0,2,3,0,2,1,1,0,1,1,2,0,0,72.0,76.0,76.0,76.0,74.0 +5.0,5,2,18.0,55,5840343.0,41.0,6.0,103914.0,192.412,alonso,14.0,Spanish,ferrari,Italian,2011,18,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,1.0,353.0,3.0,1.0,101380.0,99058.0,99058.0,43,30,Fine and Dry Air Temp 25 °C (77 °F)[1],1,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,99058.0,101380.0,99832.0,25,5,107,9,4,4,3,2,1,1,0,0,0,0,0,0,0,0,0,0,0,107.0,80.0,80.0,79.0,78.0 +11.0,24,12,0.0,54,,50.0,11.0,104438.0,191.447,barrichello,96.0,Brazilian,williams,British,2011,18,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,5.0,9.0,0.0,105159.0,105159.0,105159.0,52,39,Fine and Dry Air Temp 25 °C (77 °F)[1],1,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,105159.0,105159.0,105159.0,34,5,107,0,0,0,0,0,0,0,0,2,0,0,3,4,0,2,2,2,0,107.0,80.0,80.0,79.0,78.0 +9.0,14,16,0.0,54,,32.0,16.0,106150.0,188.359,bruno_senna,85.0,Brazilian,renault,French,2011,18,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,72.0,5.0,0.0,101391.0,101079.0,101079.0,41,28,Fine and Dry Air Temp 25 °C (77 °F)[1],1,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,101079.0,101391.0,101183.0,27,1,25,0,0,0,0,0,0,0,0,1,0,0,1,2,0,1,1,0,0,58.0,72.0,78.0,73.0,72.0 +4.0,3,3,15.0,55,5857767.0,51.0,2.0,103154.0,193.83,button,22.0,British,mclaren,British,2011,18,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,3.0,482.0,2.0,6.0,100227.0,99097.0,98631.0,44,31,Fine and Dry Air Temp 25 °C (77 °F)[1],1,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,98631.0,100227.0,99318.33333333331,26,5,107,10,4,3,2,0,3,0,0,0,0,0,0,0,0,0,0,0,0,107.0,80.0,80.0,79.0,78.0 +24.0,19,19,0.0,53,,42.0,20.0,108085.0,184.987,glock,65.0,German,virgin,British,2011,18,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+2 Laps,0.0,0.0,12.0,0.0,104515.0,104515.0,104515.0,42,29,Fine and Dry Air Temp 25 °C (77 °F)[1],1,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,104515.0,104515.0,104515.0,26,3,70,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,3,2,2,72.0,76.0,76.0,76.0,74.0 +3.0,2,1,25.0,55,5831886.0,51.0,3.0,103461.0,193.255,hamilton,44.0,British,mclaren,British,2011,18,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,2.0,482.0,2.0,6.0,99782.0,98434.0,98622.0,39,26,Fine and Dry Air Temp 25 °C (77 °F)[1],1,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,98434.0,99782.0,98946.0,22,4,89,5,3,0,5,2,1,1,1,0,0,0,0,0,0,0,0,0,0,91.0,83.0,77.0,75.0,75.0 +16.0,16,10,1.0,54,,47.0,4.0,103521.0,193.143,kobayashi,10.0,Japanese,sauber,Swiss,2011,18,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,42.0,7.0,0.0,101613.0,101240.0,101240.0,38,25,Fine and Dry Air Temp 25 °C (77 °F)[1],1,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,101240.0,101613.0,101364.33333333331,23,2,39,0,0,0,0,1,0,2,0,1,3,1,1,1,1,1,1,0,1,72.0,76.0,76.0,76.0,74.0 +20.0,17,17,0.0,54,,50.0,17.0,106610.0,187.547,kovalainen,52.0,Finnish,lotus_racing,Malaysian,2011,18,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,0.0,10.0,0.0,102979.0,102979.0,102979.0,43,30,Fine and Dry Air Temp 25 °C (77 °F)[1],1,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,102979.0,102979.0,102979.0,26,4,89,0,0,0,0,0,0,0,0,0,0,0,0,1,3,2,3,0,2,91.0,83.0,77.0,75.0,75.0 +23.0,22,20,0.0,53,,52.0,22.0,109242.0,183.028,liuzzi,29.0,Italian,hrt,Spanish,2011,18,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+2 Laps,0.0,0.0,11.0,0.0,105159.0,105159.0,105159.0,44,31,Fine and Dry Air Temp 25 °C (77 °F)[1],1,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,105159.0,105159.0,105159.0,26,5,76,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,2,74.0,75.0,75.0,72.0,71.0 +12.0,23,14,0.0,54,,52.0,13.0,104628.0,191.099,maldonado,13.0,Venezuelan,williams,British,2011,18,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,5.0,9.0,0.0,102258.0,101760.0,101760.0,39,26,Fine and Dry Air Temp 25 °C (77 °F)[1],1,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,101760.0,102258.0,101926.0,26,0,18,0,0,0,0,0,0,0,0,0,1,2,0,0,3,1,1,1,3,58.0,72.0,78.0,73.0,72.0 +6.0,6,5,10.0,55,5882464.0,51.0,10.0,104288.0,191.722,massa,19.0,Brazilian,ferrari,Italian,2011,18,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,353.0,3.0,1.0,101592.0,99623.0,99695.0,43,30,Fine and Dry Air Temp 25 °C (77 °F)[1],1,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,99623.0,101592.0,100303.33333333331,25,5,100,0,0,0,0,4,5,2,1,1,0,1,0,0,0,0,0,0,0,100.0,83.0,81.0,81.0,78.0 +7.0,8,7,6.0,55,5907850.0,48.0,15.0,104916.0,190.575,michael_schumacher,60.0,German,mercedes,German,2011,18,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,159.0,4.0,0.0,102605.0,100554.0,100662.0,55,42,Fine and Dry Air Temp 25 °C (77 °F)[1],1,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,100554.0,102605.0,101273.66666666669,37,5,55,0,0,0,1,3,2,0,2,2,0,0,1,0,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +17.0,11,11,0.0,54,,41.0,12.0,104566.0,191.213,perez,11.0,Mexican,sauber,Swiss,2011,18,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,42.0,7.0,0.0,101311.0,100874.0,100874.0,34,21,Fine and Dry Air Temp 25 °C (77 °F)[1],1,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,100874.0,101311.0,101019.66666666669,21,0,17,0,0,0,0,0,0,1,1,1,2,2,0,0,1,1,1,2,0,58.0,72.0,78.0,73.0,72.0 +10.0,12,13,0.0,54,,52.0,5.0,103673.0,192.86,petrov,83.0,Russian,renault,French,2011,18,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,72.0,5.0,0.0,100955.0,100919.0,100919.0,40,27,Fine and Dry Air Temp 25 °C (77 °F)[1],1,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,100919.0,100955.0,100931.0,26,1,37,1,0,1,0,1,0,0,1,3,1,2,2,0,0,1,0,2,0,72.0,76.0,76.0,76.0,74.0 +15.0,10,9,2.0,55,5932973.0,49.0,9.0,104120.0,192.032,resta,95.0,British,force_india,Indian,2011,18,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,57.0,6.0,0.0,101064.0,100414.0,100414.0,38,25,Fine and Dry Air Temp 25 °C (77 °F)[1],1,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,100414.0,101064.0,100630.66666666669,25,0,18,0,0,0,0,0,1,1,1,0,3,2,3,2,1,1,0,0,1,58.0,72.0,78.0,73.0,72.0 +8.0,7,6,8.0,55,5884203.0,55.0,7.0,103993.0,192.266,rosberg,6.0,German,mercedes,German,2011,18,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,159.0,4.0,0.0,101120.0,99420.0,99773.0,39,26,Fine and Dry Air Temp 25 °C (77 °F)[1],1,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,99420.0,101120.0,100104.33333333331,21,5,107,0,0,0,0,2,3,4,1,1,1,2,1,0,0,0,0,1,0,107.0,80.0,80.0,79.0,78.0 +14.0,9,8,4.0,55,5909008.0,53.0,14.0,104709.0,190.952,sutil,99.0,German,force_india,Indian,2011,18,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,57.0,6.0,0.0,100595.0,100205.0,100768.0,41,28,Fine and Dry Air Temp 25 °C (77 °F)[1],1,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,100205.0,100768.0,100522.66666666669,24,4,89,0,0,0,0,0,1,2,1,3,0,4,0,2,1,1,0,0,0,91.0,83.0,77.0,75.0,75.0 +21.0,18,18,0.0,53,,36.0,19.0,107444.0,186.091,trulli,75.0,Italian,lotus_racing,Malaysian,2011,18,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+2 Laps,0.0,0.0,10.0,0.0,103884.0,103884.0,103884.0,50,37,Fine and Dry Air Temp 25 °C (77 °F)[1],1,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,103884.0,103884.0,103884.0,32,5,106,0,0,0,0,0,0,0,0,0,0,0,0,2,2,0,0,2,2,107.0,80.0,80.0,79.0,78.0 +2.0,4,4,12.0,55,5867670.0,51.0,1.0,102612.0,194.854,webber,91.0,Australian,red_bull,Austrian,2011,18,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,607.0,1.0,11.0,100167.0,98821.0,98858.0,48,35,Fine and Dry Air Temp 25 °C (77 °F)[1],1,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,98821.0,100167.0,99282.0,30,5,107,9,2,7,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,107.0,80.0,80.0,79.0,78.0 +19.0,13,11,0.0,70,,55.0,9.0,77162.0,201.036,alguersuari,66.0,Spanish,toro_rosso,Italian,2011,19,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,41.0,8.0,0.0,74225.0,73804.0,73804.0,34,21,Fine Air Temp 24 °C (75 °F) Track Temp 43 °C (109 °F)[1],1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,73804.0,74225.0,73944.33333333333,19,2,46,0,0,0,0,0,0,2,3,0,2,1,1,0,1,2,2,0,0,72.0,76.0,76.0,76.0,74.0 +5.0,5,4,12.0,71,5572512.0,65.0,4.0,76181.0,203.625,alonso,14.0,Spanish,ferrari,Italian,2011,19,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,1.0,375.0,3.0,1.0,73969.0,72870.0,72591.0,43,30,Fine Air Temp 24 °C (75 °F) Track Temp 43 °C (109 °F)[1],1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,72591.0,73969.0,73143.33333333333,25,5,108,10,5,4,3,2,1,1,0,0,0,0,0,0,0,0,0,0,0,107.0,80.0,80.0,79.0,78.0 +25.0,23,19,0.0,68,,60.0,22.0,79902.0,194.142,ambrosio,70.0,Belgian,virgin,British,2011,19,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+3 Laps,0.0,0.0,12.0,0.0,77019.0,77019.0,77019.0,39,26,Fine Air Temp 24 °C (75 °F) Track Temp 43 °C (109 °F)[1],1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,77019.0,77019.0,77019.0,26,0,19,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,1,2,2,58.0,72.0,78.0,73.0,72.0 +11.0,12,14,0.0,70,,70.0,6.0,76684.0,202.289,barrichello,96.0,Brazilian,williams,British,2011,19,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,5.0,9.0,0.0,74117.0,73801.0,73801.0,52,39,Fine Air Temp 24 °C (75 °F) Track Temp 43 °C (109 °F)[1],1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,73801.0,74117.0,73906.33333333333,34,5,108,0,0,0,0,0,0,0,0,2,0,0,4,4,0,2,2,2,0,107.0,80.0,80.0,79.0,78.0 +9.0,9,17,0.0,69,,62.0,18.0,78274.0,198.18,bruno_senna,85.0,Brazilian,renault,French,2011,19,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+2 Laps,0.0,73.0,5.0,0.0,74453.0,73300.0,73761.0,41,28,Fine Air Temp 24 °C (75 °F) Track Temp 43 °C (109 °F)[1],1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,73300.0,74453.0,73838.0,27,1,26,0,0,0,0,0,0,0,0,1,0,0,1,2,0,1,2,0,0,58.0,72.0,78.0,73.0,72.0 +18.0,14,12,0.0,70,,59.0,13.0,77428.0,200.346,buemi,92.0,Swiss,toro_rosso,Italian,2011,19,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,41.0,8.0,0.0,74500.0,73919.0,73919.0,36,23,Fine Air Temp 24 °C (75 °F) Track Temp 43 °C (109 °F)[1],1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,73919.0,74500.0,74112.66666666667,21,2,55,0,0,0,0,0,0,0,2,2,3,0,1,2,2,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +4.0,3,3,15.0,71,5565102.0,63.0,2.0,75580.0,205.244,button,22.0,British,mclaren,British,2011,19,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,3.0,497.0,2.0,6.0,73281.0,72820.0,72283.0,44,31,Fine Air Temp 24 °C (75 °F) Track Temp 43 °C (109 °F)[1],1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,72283.0,73281.0,72794.66666666667,26,5,108,11,4,4,2,0,3,0,0,0,0,0,0,0,0,0,0,0,0,107.0,80.0,80.0,79.0,78.0 +16.0,16,9,2.0,70,,55.0,15.0,77644.0,199.788,kobayashi,10.0,Japanese,sauber,Swiss,2011,19,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,44.0,7.0,0.0,74571.0,74129.0,74129.0,38,25,Fine Air Temp 24 °C (75 °F) Track Temp 43 °C (109 °F)[1],1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,74129.0,74571.0,74276.33333333333,23,2,40,0,0,0,0,1,0,2,0,1,4,1,1,1,1,1,1,0,1,72.0,76.0,76.0,76.0,74.0 +20.0,19,16,0.0,69,,69.0,17.0,78023.0,198.818,kovalainen,52.0,Finnish,lotus_racing,Malaysian,2011,19,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+2 Laps,0.0,0.0,10.0,0.0,75068.0,75068.0,75068.0,43,30,Fine Air Temp 24 °C (75 °F) Track Temp 43 °C (109 °F)[1],1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,75068.0,75068.0,75068.0,26,4,90,0,0,0,0,0,0,0,0,0,0,0,0,1,3,2,3,1,2,91.0,83.0,77.0,75.0,75.0 +6.0,7,5,10.0,71,5604197.0,64.0,12.0,77271.0,200.753,massa,19.0,Brazilian,ferrari,Italian,2011,19,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,375.0,3.0,1.0,74269.0,73291.0,73068.0,43,30,Fine Air Temp 24 °C (75 °F) Track Temp 43 °C (109 °F)[1],1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,73068.0,74269.0,73542.66666666667,25,5,101,0,0,0,0,5,5,2,1,1,0,1,0,0,0,0,0,0,0,100.0,83.0,81.0,81.0,78.0 +7.0,10,15,0.0,70,,62.0,5.0,76681.0,202.297,michael_schumacher,60.0,German,mercedes,German,2011,19,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,165.0,4.0,0.0,73694.0,73571.0,73571.0,55,42,Fine Air Temp 24 °C (75 °F) Track Temp 43 °C (109 °F)[1],1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,73571.0,73694.0,73612.0,37,5,56,0,0,0,1,3,2,1,2,2,0,0,1,0,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +17.0,17,13,0.0,70,,63.0,16.0,77780.0,199.439,perez,11.0,Mexican,sauber,Swiss,2011,19,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,44.0,7.0,0.0,74430.0,74182.0,74182.0,34,21,Fine Air Temp 24 °C (75 °F) Track Temp 43 °C (109 °F)[1],1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,74182.0,74430.0,74264.66666666667,21,0,18,0,0,0,0,0,0,1,1,1,2,3,0,0,1,1,1,2,0,58.0,72.0,78.0,73.0,72.0 +10.0,15,10,1.0,70,,58.0,7.0,77011.0,201.43,petrov,83.0,Russian,renault,French,2011,19,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,73.0,5.0,0.0,73859.0,74053.0,74053.0,40,27,Fine Air Temp 24 °C (75 °F) Track Temp 43 °C (109 °F)[1],1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,73859.0,74053.0,73988.33333333333,26,1,38,1,0,1,0,1,0,0,1,3,1,2,2,1,0,1,0,2,0,72.0,76.0,76.0,76.0,74.0 +15.0,11,8,4.0,70,,64.0,14.0,77452.0,200.284,resta,95.0,British,force_india,Indian,2011,19,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,69.0,6.0,0.0,73733.0,73584.0,73584.0,38,25,Fine Air Temp 24 °C (75 °F) Track Temp 43 °C (109 °F)[1],1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,73584.0,73733.0,73633.66666666667,25,0,19,0,0,0,0,0,1,1,1,1,3,2,3,2,1,1,0,0,1,58.0,72.0,78.0,73.0,72.0 +22.0,22,20,0.0,68,,64.0,20.0,79649.0,194.759,ricciardo,3.0,Australian,hrt,Spanish,2011,19,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+3 Laps,0.0,0.0,11.0,0.0,76890.0,76890.0,76890.0,35,22,Fine Air Temp 24 °C (75 °F) Track Temp 43 °C (109 °F)[1],1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,76890.0,76890.0,76890.0,22,0,11,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,2,58.0,72.0,78.0,73.0,72.0 +8.0,6,7,6.0,70,,45.0,10.0,77207.0,200.919,rosberg,6.0,German,mercedes,German,2011,19,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,165.0,4.0,0.0,74083.0,72569.0,73050.0,39,26,Fine Air Temp 24 °C (75 °F) Track Temp 43 °C (109 °F)[1],1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,72569.0,74083.0,73234.0,21,5,108,0,0,0,0,2,4,4,1,1,1,2,1,0,0,0,0,1,0,107.0,80.0,80.0,79.0,78.0 +14.0,8,6,8.0,70,,36.0,8.0,77161.0,201.039,sutil,99.0,German,force_india,Indian,2011,19,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,69.0,6.0,0.0,73480.0,73261.0,73298.0,41,28,Fine Air Temp 24 °C (75 °F) Track Temp 43 °C (109 °F)[1],1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,73261.0,73480.0,73346.33333333333,24,4,90,0,0,0,0,0,1,2,2,3,0,4,0,2,1,1,0,0,0,91.0,83.0,77.0,75.0,75.0 +21.0,20,18,0.0,69,,47.0,19.0,78596.0,197.368,trulli,75.0,Italian,lotus_racing,Malaysian,2011,19,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+2 Laps,0.0,0.0,10.0,0.0,75358.0,75358.0,75358.0,50,37,Fine Air Temp 24 °C (75 °F) Track Temp 43 °C (109 °F)[1],1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,75358.0,75358.0,75358.0,32,5,107,0,0,0,0,0,0,0,0,0,0,0,0,2,2,0,0,2,3,107.0,80.0,80.0,79.0,78.0 +1.0,1,2,18.0,71,5554447.0,68.0,3.0,76076.0,203.906,vettel,5.0,German,red_bull,Austrian,2011,19,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,11.0,650.0,1.0,12.0,73664.0,72446.0,71918.0,37,24,Fine Air Temp 24 °C (75 °F) Track Temp 43 °C (109 °F)[1],1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,71918.0,73664.0,72676.0,20,4,81,16,4,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,77.0,76.0,76.0,70.0,71.0 +2.0,2,1,25.0,71,5537464.0,71.0,1.0,75324.0,205.942,webber,91.0,Australian,red_bull,Austrian,2011,19,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,650.0,1.0,12.0,73467.0,72658.0,72099.0,48,35,Fine Air Temp 24 °C (75 °F) Track Temp 43 °C (109 °F)[1],1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,72099.0,73467.0,72741.33333333333,30,5,108,9,2,7,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,107.0,80.0,80.0,79.0,78.0 +5.0,12,5,10.0,58,5671130.0,52.0,7.0,90277.0,211.469,alonso,14.0,Spanish,ferrari,Italian,2012,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,10.0,4.0,0.0,86688.0,86494.0,86494.0,43,31,Fine[1] Air Temp 22 °C (72 °F)[1] Track Temp 30 °C (86 °F) dropping to 22 °C (72 °F)[1],1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,86494.0,86688.0,86558.66666666667,25,6,109,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,110.0,79.0,79.0,79.0,77.0 +3.0,2,1,25.0,58,5649565.0,56.0,1.0,89187.0,214.053,button,22.0,British,mclaren,British,2012,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,40.0,1.0,1.0,86832.0,85663.0,85074.0,44,32,Fine[1] Air Temp 22 °C (72 °F)[1] Track Temp 30 °C (86 °F) dropping to 22 °C (72 °F)[1],1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,85074.0,86832.0,85856.33333333333,26,6,109,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,110.0,79.0,79.0,79.0,77.0 +24.0,20,14,0.0,57,,43.0,19.0,94253.0,202.548,glock,65.0,German,marussia,Russian,2012,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+1 Lap,0.0,0.0,10.0,0.0,90923.0,90923.0,90923.0,42,30,Fine[1] Air Temp 22 °C (72 °F)[1] Track Temp 30 °C (86 °F) dropping to 22 °C (72 °F)[1],1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,90923.0,90923.0,90923.0,26,4,72,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +4.0,1,3,15.0,58,5653640.0,57.0,4.0,89538.0,213.214,hamilton,44.0,British,mclaren,British,2012,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,40.0,1.0,1.0,86800.0,85626.0,84922.0,39,27,Fine[1] Air Temp 22 °C (72 °F)[1] Track Temp 30 °C (86 °F) dropping to 22 °C (72 °F)[1],1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,84922.0,86800.0,85782.66666666667,22,5,91,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,96.0,84.0,79.0,78.0,77.0 +14.0,13,6,8.0,58,5686331.0,55.0,10.0,90620.0,210.668,kobayashi,10.0,Japanese,sauber,Swiss,2012,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,12.0,3.0,0.0,86182.0,86590.0,86590.0,38,26,Fine[1] Air Temp 22 °C (72 °F)[1] Track Temp 30 °C (86 °F) dropping to 22 °C (72 °F)[1],1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,86182.0,86590.0,86454.0,23,3,41,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +15.0,22,8,4.0,58,5689023.0,46.0,12.0,90843.0,210.151,perez,11.0,Mexican,sauber,Swiss,2012,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,12.0,3.0,0.0,86596.0,86596.0,86596.0,34,22,Fine[1] Air Temp 22 °C (72 °F)[1] Track Temp 30 °C (86 °F) dropping to 22 °C (72 °F)[1],1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,86596.0,86596.0,86596.0,21,1,19,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +25.0,21,15,0.0,53,,45.0,20.0,95011.0,200.932,pic,40.0,French,marussia,Russian,2012,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+5 Laps,0.0,0.0,10.0,0.0,91670.0,91670.0,91670.0,34,22,Fine[1] Air Temp 22 °C (72 °F)[1] Track Temp 30 °C (86 °F) dropping to 22 °C (72 °F)[1],1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,91670.0,91670.0,91670.0,22,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +9.0,17,7,6.0,58,5687579.0,50.0,11.0,90759.0,210.346,raikkonen,7.0,Finnish,lotus_f1,British,2012,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,6.0,5.0,0.0,87758.0,87758.0,87758.0,45,33,Fine[1] Air Temp 22 °C (72 °F)[1] Track Temp 30 °C (86 °F) dropping to 22 °C (72 °F)[1],1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,87758.0,87758.0,87758.0,27,6,71,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +11.0,15,10,1.0,58,5689302.0,57.0,9.0,90605.0,210.703,resta,95.0,British,force_india,Indian,2012,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,1.0,7.0,0.0,87469.0,87086.0,87086.0,38,26,Fine[1] Air Temp 22 °C (72 °F)[1] Track Temp 30 °C (86 °F) dropping to 22 °C (72 °F)[1],1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,87086.0,87469.0,87213.66666666667,25,1,20,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +16.0,10,9,2.0,58,5689121.0,53.0,8.0,90592.0,210.733,ricciardo,3.0,Australian,toro_rosso,Italian,2012,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,2.0,6.0,0.0,87024.0,86319.0,86319.0,35,23,Fine[1] Air Temp 22 °C (72 °F)[1] Track Temp 30 °C (86 °F) dropping to 22 °C (72 °F)[1],1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,86319.0,87024.0,86554.0,22,1,12,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,7,12,0.0,58,5707207.0,53.0,14.0,90931.0,209.948,rosberg,6.0,German,mercedes,German,2012,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,0.0,8.0,0.0,86763.0,85469.0,85686.0,39,27,Fine[1] Air Temp 22 °C (72 °F)[1] Track Temp 30 °C (86 °F) dropping to 22 °C (72 °F)[1],1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,85469.0,86763.0,85972.66666666667,21,6,109,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,110.0,79.0,79.0,79.0,77.0 +17.0,11,11,0.0,58,5689413.0,52.0,6.0,90274.0,211.476,vergne,25.0,French,toro_rosso,Italian,2012,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,2.0,6.0,0.0,86493.0,86429.0,86429.0,34,22,Fine[1] Air Temp 22 °C (72 °F)[1] Track Temp 30 °C (86 °F) dropping to 22 °C (72 °F)[1],1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,86429.0,86493.0,86450.33333333333,22,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +1.0,6,2,18.0,58,5651704.0,57.0,2.0,89417.0,213.503,vettel,5.0,German,red_bull,Austrian,2012,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,30.0,2.0,0.0,86773.0,85982.0,85668.0,37,25,Fine[1] Air Temp 22 °C (72 °F)[1] Track Temp 30 °C (86 °F) dropping to 22 °C (72 °F)[1],1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,85668.0,86773.0,86141.0,20,5,82,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,77.0,76.0,76.0,70.0,71.0 +2.0,5,4,12.0,58,5654112.0,57.0,3.0,89438.0,213.452,webber,91.0,Australian,red_bull,Austrian,2012,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,30.0,2.0,0.0,87117.0,86597.0,85651.0,48,36,Fine[1] Air Temp 22 °C (72 °F)[1] Track Temp 30 °C (86 °F) dropping to 22 °C (72 °F)[1],1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,85651.0,87117.0,86455.0,30,6,109,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,110.0,79.0,79.0,79.0,77.0 +5.0,8,1,25.0,56,9891812.0,53.0,7.0,101680.0,196.25,alonso,14.0,Spanish,ferrari,Italian,2012,2,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,35.0,3.0,0.0,98151.0,97379.0,97566.0,43,31,Heavy rain clearing to cloudy and dry[2] Air Temp 26 °C (79 °F)[2] Track Temp 29 °C (84 °F) dropping to 24 °C (75 °F) [2],1,0,1,1,1,Race circuit,Clockwise,5.543,56.0,310.408,97379.0,98151.0,97698.66666666669,25,6,110,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,110.0,79.0,79.0,79.0,77.0 +19.0,13,6,8.0,56,9929479.0,55.0,5.0,101404.0,196.785,bruno_senna,85.0,Brazilian,williams,British,2012,2,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,8.0,7.0,0.0,98437.0,97841.0,97841.0,41,29,Heavy rain clearing to cloudy and dry[2] Air Temp 26 °C (79 °F)[2] Track Temp 29 °C (84 °F) dropping to 24 °C (75 °F) [2],1,0,1,1,1,Race circuit,Clockwise,5.543,56.0,310.408,97841.0,98437.0,98039.66666666669,27,2,28,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +3.0,2,14,0.0,56,9971531.0,50.0,14.0,102100.0,195.443,button,22.0,British,mclaren,British,2012,2,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,1.0,55.0,1.0,1.0,97575.0,96928.0,96368.0,44,32,Heavy rain clearing to cloudy and dry[2] Air Temp 26 °C (79 °F)[2] Track Temp 29 °C (84 °F) dropping to 24 °C (75 °F) [2],1,0,1,1,1,Race circuit,Clockwise,5.543,56.0,310.408,96368.0,97575.0,96957.0,26,6,110,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,110.0,79.0,79.0,79.0,77.0 +24.0,20,17,0.0,55,,50.0,20.0,104757.0,190.486,glock,65.0,German,marussia,Russian,2012,2,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+1 Lap,0.0,0.0,10.0,0.0,100903.0,100903.0,100903.0,42,30,Heavy rain clearing to cloudy and dry[2] Air Temp 26 °C (79 °F)[2] Track Temp 29 °C (84 °F) dropping to 24 °C (75 °F) [2],1,0,1,1,1,Race circuit,Clockwise,5.543,56.0,310.408,100903.0,100903.0,100903.0,26,4,73,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +4.0,1,3,15.0,56,9906403.0,50.0,6.0,101539.0,196.523,hamilton,44.0,British,mclaren,British,2012,2,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,55.0,1.0,1.0,97813.0,97106.0,96219.0,39,27,Heavy rain clearing to cloudy and dry[2] Air Temp 26 °C (79 °F)[2] Track Temp 29 °C (84 °F) dropping to 24 °C (75 °F) [2],1,0,1,1,1,Race circuit,Clockwise,5.543,56.0,310.408,96219.0,97813.0,97046.0,22,5,92,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,96.0,84.0,79.0,78.0,77.0 +12.0,16,9,2.0,56,9939704.0,51.0,15.0,102173.0,195.304,hulkenberg,27.0,German,force_india,Indian,2012,2,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,9.0,6.0,0.0,98303.0,97890.0,97890.0,37,25,Heavy rain clearing to cloudy and dry[2] Air Temp 26 °C (79 °F)[2] Track Temp 29 °C (84 °F) dropping to 24 °C (75 °F) [2],1,0,1,1,1,Race circuit,Clockwise,5.543,56.0,310.408,97890.0,98303.0,98027.66666666669,23,2,21,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +20.0,24,18,0.0,55,,54.0,18.0,103803.0,192.237,kovalainen,52.0,Finnish,caterham,Malaysian,2012,2,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+1 Lap,0.0,0.0,11.0,0.0,99306.0,99306.0,99306.0,43,31,Heavy rain clearing to cloudy and dry[2] Air Temp 26 °C (79 °F)[2] Track Temp 29 °C (84 °F) dropping to 24 °C (75 °F) [2],1,0,1,1,1,Race circuit,Clockwise,5.543,56.0,310.408,99306.0,99306.0,99306.0,26,5,92,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,96.0,84.0,79.0,78.0,77.0 +6.0,12,15,0.0,56,9989131.0,56.0,13.0,102051.0,195.537,massa,19.0,Brazilian,ferrari,Italian,2012,2,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,35.0,3.0,1.0,98381.0,97731.0,97731.0,43,31,Heavy rain clearing to cloudy and dry[2] Air Temp 26 °C (79 °F)[2] Track Temp 29 °C (84 °F) dropping to 24 °C (75 °F) [2],1,0,1,1,1,Race circuit,Clockwise,5.543,56.0,310.408,97731.0,98381.0,97947.66666666669,25,6,103,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,102.0,87.0,81.0,81.0,79.0 +7.0,3,10,1.0,56,9941808.0,53.0,9.0,101760.0,196.096,michael_schumacher,60.0,German,mercedes,German,2012,2,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,1.0,9.0,0.0,97517.0,97017.0,96391.0,55,43,Heavy rain clearing to cloudy and dry[2] Air Temp 26 °C (79 °F)[2] Track Temp 29 °C (84 °F) dropping to 24 °C (75 °F) [2],1,0,1,1,1,Race circuit,Clockwise,5.543,56.0,310.408,96391.0,97517.0,96975.0,37,6,58,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +15.0,9,2,18.0,56,9894075.0,54.0,3.0,101021.0,197.531,perez,11.0,Mexican,sauber,Swiss,2012,2,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,30.0,4.0,0.0,97933.0,97477.0,97698.0,34,22,Heavy rain clearing to cloudy and dry[2] Air Temp 26 °C (79 °F)[2] Track Temp 29 °C (84 °F) dropping to 24 °C (75 °F) [2],1,0,1,1,1,Race circuit,Clockwise,5.543,56.0,310.408,97477.0,97933.0,97702.66666666669,21,1,20,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +21.0,19,16,0.0,55,,52.0,17.0,103513.0,192.775,petrov,83.0,Russian,caterham,Malaysian,2012,2,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+1 Lap,0.0,0.0,11.0,0.0,99567.0,99567.0,99567.0,40,28,Heavy rain clearing to cloudy and dry[2] Air Temp 26 °C (79 °F)[2] Track Temp 29 °C (84 °F) dropping to 24 °C (75 °F) [2],1,0,1,1,1,Race circuit,Clockwise,5.543,56.0,310.408,99567.0,99567.0,99567.0,26,2,40,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +25.0,21,20,0.0,54,,50.0,21.0,104813.0,190.384,pic,40.0,French,marussia,Russian,2012,2,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+2 Laps,0.0,0.0,10.0,0.0,101250.0,101250.0,101250.0,34,22,Heavy rain clearing to cloudy and dry[2] Air Temp 26 °C (79 °F)[2] Track Temp 29 °C (84 °F) dropping to 24 °C (75 °F) [2],1,0,1,1,1,Race circuit,Clockwise,5.543,56.0,310.408,101250.0,101250.0,101250.0,22,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +9.0,10,5,10.0,56,9921268.0,53.0,1.0,100722.0,198.117,raikkonen,7.0,Finnish,lotus_f1,British,2012,2,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,16.0,5.0,0.0,97961.0,96715.0,96461.0,45,33,Heavy rain clearing to cloudy and dry[2] Air Temp 26 °C (79 °F)[2] Track Temp 29 °C (84 °F) dropping to 24 °C (75 °F) [2],1,0,1,1,1,Race circuit,Clockwise,5.543,56.0,310.408,96461.0,97961.0,97045.66666666669,27,6,72,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +11.0,14,7,6.0,56,9936224.0,55.0,10.0,101819.0,195.983,resta,95.0,British,force_india,Indian,2012,2,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,9.0,6.0,0.0,98325.0,97877.0,97877.0,38,26,Heavy rain clearing to cloudy and dry[2] Air Temp 26 °C (79 °F)[2] Track Temp 29 °C (84 °F) dropping to 24 °C (75 °F) [2],1,0,1,1,1,Race circuit,Clockwise,5.543,56.0,310.408,97877.0,98325.0,98026.33333333331,25,1,21,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +16.0,15,12,0.0,56,9968640.0,54.0,8.0,101756.0,196.104,ricciardo,3.0,Australian,toro_rosso,Italian,2012,2,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,6.0,8.0,0.0,98419.0,97883.0,97883.0,35,23,Heavy rain clearing to cloudy and dry[2] Air Temp 26 °C (79 °F)[2] Track Temp 29 °C (84 °F) dropping to 24 °C (75 °F) [2],1,0,1,1,1,Race circuit,Clockwise,5.543,56.0,310.408,97883.0,98419.0,98061.66666666669,22,1,13,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,7,13,0.0,56,9970405.0,51.0,11.0,101863.0,195.898,rosberg,6.0,German,mercedes,German,2012,2,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,1.0,9.0,0.0,97696.0,96996.0,96664.0,39,27,Heavy rain clearing to cloudy and dry[2] Air Temp 26 °C (79 °F)[2] Track Temp 29 °C (84 °F) dropping to 24 °C (75 °F) [2],1,0,1,1,1,Race circuit,Clockwise,5.543,56.0,310.408,96664.0,97696.0,97118.66666666669,21,6,110,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,110.0,79.0,79.0,79.0,77.0 +17.0,18,8,4.0,56,9938797.0,55.0,12.0,101922.0,195.785,vergne,25.0,French,toro_rosso,Italian,2012,2,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,6.0,8.0,0.0,99077.0,99077.0,99077.0,34,22,Heavy rain clearing to cloudy and dry[2] Air Temp 26 °C (79 °F)[2] Track Temp 29 °C (84 °F) dropping to 24 °C (75 °F) [2],1,0,1,1,1,Race circuit,Clockwise,5.543,56.0,310.408,99077.0,99077.0,99077.0,22,0,2,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +1.0,5,11,0.0,56,9967339.0,50.0,4.0,101342.0,196.905,vettel,5.0,German,red_bull,Austrian,2012,2,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,42.0,2.0,0.0,98102.0,97419.0,96634.0,37,25,Heavy rain clearing to cloudy and dry[2] Air Temp 26 °C (79 °F)[2] Track Temp 29 °C (84 °F) dropping to 24 °C (75 °F) [2],1,0,1,1,1,Race circuit,Clockwise,5.543,56.0,310.408,96634.0,98102.0,97385.0,20,5,83,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,77.0,76.0,76.0,70.0,71.0 +2.0,4,4,12.0,56,9909500.0,52.0,2.0,101017.0,197.539,webber,91.0,Australian,red_bull,Austrian,2012,2,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,42.0,2.0,0.0,97172.0,97375.0,96461.0,48,36,Heavy rain clearing to cloudy and dry[2] Air Temp 26 °C (79 °F)[2] Track Temp 29 °C (84 °F) dropping to 24 °C (75 °F) [2],1,0,1,1,1,Race circuit,Clockwise,5.543,56.0,310.408,96461.0,97375.0,97002.66666666669,30,6,110,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,110.0,79.0,79.0,79.0,77.0 +5.0,9,9,2.0,56,5824185.0,41.0,12.0,101152.0,194.001,alonso,14.0,Spanish,ferrari,Italian,2012,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,1.0,37.0,3.0,1.0,96292.0,95982.0,96622.0,43,31,Overcast but Dry[1] Air Temp 22 °C (72 °F)[1] Track Temp 23 °C (73 °F)[1],0,0,1,0,1,Race circuit,Clockwise,5.451,56.0,305.066,95982.0,96622.0,96298.66666666669,25,6,111,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,112.0,80.0,79.0,81.0,78.0 +19.0,14,7,6.0,56,5821526.0,37.0,16.0,101293.0,193.731,bruno_senna,85.0,Brazilian,williams,British,2012,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,18.0,7.0,0.0,96674.0,96289.0,96289.0,41,29,Overcast but Dry[1] Air Temp 22 °C (72 °F)[1] Track Temp 23 °C (73 °F)[1],0,0,1,0,1,Race circuit,Clockwise,5.451,56.0,305.066,96289.0,96674.0,96417.33333333331,27,2,29,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +3.0,5,2,18.0,56,5807555.0,56.0,3.0,100422.0,195.411,button,22.0,British,mclaren,British,2012,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,1.0,88.0,1.0,1.0,96746.0,95942.0,96191.0,44,32,Overcast but Dry[1] Air Temp 22 °C (72 °F)[1] Track Temp 23 °C (73 °F)[1],0,0,1,0,1,Race circuit,Clockwise,5.451,56.0,305.066,95942.0,96746.0,96293.0,26,6,111,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,112.0,80.0,79.0,81.0,78.0 +24.0,20,19,0.0,55,,41.0,21.0,102748.0,190.987,glock,65.0,German,marussia,Russian,2012,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+1 Lap,0.0,0.0,10.0,0.0,99282.0,99282.0,99282.0,42,30,Overcast but Dry[1] Air Temp 22 °C (72 °F)[1] Track Temp 23 °C (73 °F)[1],0,0,1,0,1,Race circuit,Clockwise,5.451,56.0,305.066,99282.0,99282.0,99282.0,26,4,74,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,74.0,75.0,75.0,72.0,71.0 +10.0,10,6,8.0,56,5818420.0,35.0,11.0,101120.0,194.062,grosjean,8.0,French,lotus_f1,British,2012,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,24.0,6.0,0.0,96343.0,95903.0,95903.0,38,26,Overcast but Dry[1] Air Temp 22 °C (72 °F)[1] Track Temp 23 °C (73 °F)[1],0,0,1,0,1,Race circuit,Clockwise,5.451,56.0,305.066,95903.0,96343.0,96049.66666666669,23,3,10,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +4.0,7,3,15.0,56,5812941.0,40.0,6.0,100530.0,195.201,hamilton,44.0,British,mclaren,British,2012,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,88.0,1.0,1.0,96763.0,95902.0,95626.0,39,27,Overcast but Dry[1] Air Temp 22 °C (72 °F)[1] Track Temp 23 °C (73 °F)[1],0,0,1,0,1,Race circuit,Clockwise,5.451,56.0,305.066,95626.0,96763.0,96097.0,22,5,93,2,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,96.0,84.0,79.0,78.0,77.0 +12.0,16,15,0.0,56,5838142.0,48.0,9.0,100977.0,194.337,hulkenberg,27.0,German,force_india,Indian,2012,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,9.0,8.0,0.0,96921.0,96745.0,96745.0,37,25,Overcast but Dry[1] Air Temp 22 °C (72 °F)[1] Track Temp 23 °C (73 °F)[1],0,0,1,0,1,Race circuit,Clockwise,5.451,56.0,305.066,96745.0,96921.0,96803.66666666669,23,2,22,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +14.0,3,10,1.0,56,5825649.0,40.0,1.0,99960.0,196.314,kobayashi,10.0,Japanese,sauber,Swiss,2012,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,31.0,4.0,0.0,96863.0,95853.0,95784.0,38,26,Overcast but Dry[1] Air Temp 22 °C (72 °F)[1] Track Temp 23 °C (73 °F)[1],0,0,1,0,1,Race circuit,Clockwise,5.451,56.0,305.066,95784.0,96863.0,96166.66666666669,23,3,43,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +18.0,13,8,4.0,56,5822572.0,36.0,4.0,100482.0,195.294,maldonado,13.0,Venezuelan,williams,British,2012,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,18.0,7.0,0.0,96528.0,96283.0,96283.0,39,27,Overcast but Dry[1] Air Temp 22 °C (72 °F)[1] Track Temp 23 °C (73 °F)[1],0,0,1,0,1,Race circuit,Clockwise,5.451,56.0,305.066,96283.0,96528.0,96364.66666666669,26,1,22,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +6.0,12,13,0.0,56,5829708.0,48.0,14.0,101240.0,193.832,massa,19.0,Brazilian,ferrari,Italian,2012,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,37.0,3.0,1.0,96556.0,96255.0,96255.0,43,31,Overcast but Dry[1] Air Temp 22 °C (72 °F)[1] Track Temp 23 °C (73 °F)[1],0,0,1,0,1,Race circuit,Clockwise,5.451,56.0,305.066,96255.0,96556.0,96355.33333333331,25,6,104,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,107.0,80.0,80.0,79.0,78.0 +15.0,8,11,0.0,56,5827995.0,37.0,10.0,101071.0,194.156,perez,11.0,Mexican,sauber,Swiss,2012,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,31.0,4.0,0.0,96198.0,95831.0,96524.0,34,22,Overcast but Dry[1] Air Temp 22 °C (72 °F)[1] Track Temp 23 °C (73 °F)[1],0,0,1,0,1,Race circuit,Clockwise,5.451,56.0,305.066,95831.0,96524.0,96184.33333333331,21,1,21,1,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +21.0,19,18,0.0,55,,38.0,19.0,102385.0,191.664,petrov,83.0,Russian,caterham,Malaysian,2012,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+1 Lap,0.0,0.0,11.0,0.0,98677.0,98677.0,98677.0,40,28,Overcast but Dry[1] Air Temp 22 °C (72 °F)[1] Track Temp 23 °C (73 °F)[1],0,0,1,0,1,Race circuit,Clockwise,5.451,56.0,305.066,98677.0,98677.0,98677.0,26,2,41,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +25.0,21,20,0.0,55,,39.0,20.0,102621.0,191.224,pic,40.0,French,marussia,Russian,2012,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+1 Lap,0.0,0.0,10.0,0.0,99717.0,99717.0,99717.0,34,22,Overcast but Dry[1] Air Temp 22 °C (72 °F)[1] Track Temp 23 °C (73 °F)[1],0,0,1,0,1,Race circuit,Clockwise,5.451,56.0,305.066,99717.0,99717.0,99717.0,22,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +9.0,4,14,0.0,56,5837502.0,43.0,18.0,101794.0,192.777,raikkonen,7.0,Finnish,lotus_f1,British,2012,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,24.0,6.0,0.0,96850.0,95921.0,95898.0,45,33,Overcast but Dry[1] Air Temp 22 °C (72 °F)[1] Track Temp 23 °C (73 °F)[1],0,0,1,0,1,Race circuit,Clockwise,5.451,56.0,305.066,95898.0,96850.0,96223.0,27,6,73,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +11.0,15,12,0.0,56,5829202.0,40.0,17.0,101498.0,193.339,resta,95.0,British,force_india,Indian,2012,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,9.0,8.0,0.0,96639.0,96317.0,96317.0,38,26,Overcast but Dry[1] Air Temp 22 °C (72 °F)[1] Track Temp 23 °C (73 °F)[1],0,0,1,0,1,Race circuit,Clockwise,5.451,56.0,305.066,96317.0,96639.0,96424.33333333331,25,1,22,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +16.0,17,17,0.0,56,5850085.0,40.0,15.0,101251.0,193.811,ricciardo,3.0,Australian,toro_rosso,Italian,2012,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,6.0,9.0,0.0,96933.0,96956.0,96956.0,35,23,Overcast but Dry[1] Air Temp 22 °C (72 °F)[1] Track Temp 23 °C (73 °F)[1],0,0,1,0,1,Race circuit,Clockwise,5.451,56.0,305.066,96933.0,96956.0,96948.33333333331,22,1,14,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,1,1,25.0,56,5786929.0,40.0,8.0,100967.0,194.356,rosberg,6.0,German,mercedes,German,2012,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,26.0,5.0,1.0,96875.0,95725.0,95121.0,39,27,Overcast but Dry[1] Air Temp 22 °C (72 °F)[1] Track Temp 23 °C (73 °F)[1],0,0,1,0,1,Race circuit,Clockwise,5.451,56.0,305.066,95121.0,96875.0,95907.0,21,6,111,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,112.0,80.0,79.0,81.0,78.0 +17.0,24,16,0.0,56,5838685.0,48.0,2.0,100019.0,196.198,vergne,25.0,French,toro_rosso,Italian,2012,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,6.0,9.0,0.0,97714.0,97714.0,97714.0,34,22,Overcast but Dry[1] Air Temp 22 °C (72 °F)[1] Track Temp 23 °C (73 °F)[1],0,0,1,0,1,Race circuit,Clockwise,5.451,56.0,305.066,97714.0,97714.0,97714.0,22,0,3,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +1.0,11,5,10.0,56,5817412.0,33.0,7.0,100601.0,195.063,vettel,5.0,German,red_bull,Austrian,2012,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,64.0,2.0,0.0,96911.0,96031.0,96031.0,37,25,Overcast but Dry[1] Air Temp 22 °C (72 °F)[1] Track Temp 23 °C (73 °F)[1],0,0,1,0,1,Race circuit,Clockwise,5.451,56.0,305.066,96031.0,96911.0,96324.33333333331,20,5,84,1,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,77.0,76.0,76.0,70.0,71.0 +2.0,6,4,12.0,56,5814853.0,52.0,5.0,100490.0,195.279,webber,91.0,Australian,red_bull,Austrian,2012,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,64.0,2.0,0.0,96682.0,95700.0,96290.0,48,36,Overcast but Dry[1] Air Temp 22 °C (72 °F)[1] Track Temp 23 °C (73 °F)[1],0,0,1,0,1,Race circuit,Clockwise,5.451,56.0,305.066,95700.0,96682.0,96224.0,30,6,111,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,112.0,80.0,79.0,81.0,78.0 +5.0,9,7,6.0,57,5768793.0,44.0,15.0,98203.0,198.397,alonso,14.0,Spanish,ferrari,Italian,2012,4,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,1.0,45.0,4.0,1.0,94760.0,93403.0,93403.0,43,31,Sunny and hot[1][2] Air Temp 27 °C (81 °F)[2] Track Temp 33 °C (91 °F) dropping to 29 °C (84 °F)[2],1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,93403.0,94760.0,93855.33333333331,25,6,112,1,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,112.0,80.0,79.0,81.0,78.0 +24.0,23,19,0.0,55,,46.0,23.0,100323.0,194.204,glock,65.0,German,marussia,Russian,2012,4,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+2 Laps,0.0,0.0,10.0,0.0,97905.0,97905.0,97905.0,42,30,Sunny and hot[1][2] Air Temp 27 °C (81 °F)[2] Track Temp 33 °C (91 °F) dropping to 29 °C (84 °F)[2],1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,97905.0,97905.0,97905.0,26,4,75,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,74.0,75.0,75.0,72.0,71.0 +10.0,7,3,15.0,57,5721184.0,42.0,3.0,96928.0,201.006,grosjean,8.0,French,lotus_f1,British,2012,4,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,57.0,3.0,0.0,94041.0,93246.0,93008.0,38,26,Sunny and hot[1][2] Air Temp 27 °C (81 °F)[2] Track Temp 33 °C (91 °F) dropping to 29 °C (84 °F)[2],1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,93008.0,94041.0,93431.66666666669,23,3,11,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +4.0,2,8,4.0,57,5769974.0,38.0,7.0,97733.0,199.351,hamilton,44.0,British,mclaren,British,2012,4,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,92.0,2.0,1.0,94813.0,93209.0,92520.0,39,27,Sunny and hot[1][2] Air Temp 27 °C (81 °F)[2] Track Temp 33 °C (91 °F) dropping to 29 °C (84 °F)[2],1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,92520.0,94813.0,93514.0,22,5,94,3,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,96.0,84.0,79.0,78.0,77.0 +12.0,13,12,0.0,57,5787529.0,46.0,17.0,98312.0,198.177,hulkenberg,27.0,German,force_india,Indian,2012,4,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,17.0,8.0,0.0,94601.0,93807.0,93807.0,37,25,Sunny and hot[1][2] Air Temp 27 °C (81 °F)[2] Track Temp 33 °C (91 °F) dropping to 29 °C (84 °F)[2],1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,93807.0,94601.0,94071.66666666669,23,2,23,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +14.0,12,13,0.0,57,5801324.0,54.0,2.0,96700.0,201.48,kobayashi,10.0,Japanese,sauber,Swiss,2012,4,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,31.0,6.0,0.0,94131.0,93806.0,93806.0,38,26,Sunny and hot[1][2] Air Temp 27 °C (81 °F)[2] Track Temp 33 °C (91 °F) dropping to 29 °C (84 °F)[2],1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,93806.0,94131.0,93914.33333333331,23,3,44,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +20.0,16,17,0.0,56,,43.0,19.0,98441.0,197.917,kovalainen,52.0,Finnish,caterham,Malaysian,2012,4,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,0.0,11.0,0.0,94852.0,96132.0,96132.0,43,31,Sunny and hot[1][2] Air Temp 27 °C (81 °F)[2] Track Temp 33 °C (91 °F) dropping to 29 °C (84 °F)[2],1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,94852.0,96132.0,95705.33333333331,26,5,94,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,96.0,84.0,79.0,78.0,77.0 +6.0,14,9,2.0,57,5775989.0,42.0,12.0,98123.0,198.558,massa,19.0,Brazilian,ferrari,Italian,2012,4,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,45.0,4.0,1.0,94372.0,93912.0,93912.0,43,31,Sunny and hot[1][2] Air Temp 27 °C (81 °F)[2] Track Temp 33 °C (91 °F) dropping to 29 °C (84 °F)[2],1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,93912.0,94372.0,94065.33333333331,25,6,105,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,1,0,107.0,80.0,80.0,79.0,78.0 +7.0,22,10,1.0,57,5782480.0,39.0,13.0,98128.0,198.548,michael_schumacher,60.0,German,mercedes,German,2012,4,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,37.0,5.0,1.0,94865.0,94865.0,94865.0,55,43,Sunny and hot[1][2] Air Temp 27 °C (81 °F)[2] Track Temp 33 °C (91 °F) dropping to 29 °C (84 °F)[2],1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,94865.0,94865.0,94865.0,37,6,60,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +15.0,8,11,0.0,57,5783692.0,39.0,14.0,98146.0,198.512,perez,11.0,Mexican,sauber,Swiss,2012,4,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,31.0,6.0,0.0,93814.0,93660.0,93394.0,34,22,Sunny and hot[1][2] Air Temp 27 °C (81 °F)[2] Track Temp 33 °C (91 °F) dropping to 29 °C (84 °F)[2],1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,93394.0,93814.0,93622.66666666669,21,1,22,1,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +21.0,18,16,0.0,56,,42.0,16.0,98305.0,198.191,petrov,83.0,Russian,caterham,Malaysian,2012,4,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,0.0,11.0,0.0,95823.0,95823.0,95823.0,40,28,Sunny and hot[1][2] Air Temp 27 °C (81 °F)[2] Track Temp 33 °C (91 °F) dropping to 29 °C (84 °F)[2],1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,95823.0,95823.0,95823.0,26,2,42,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,72.0,76.0,76.0,76.0,74.0 +9.0,11,2,18.0,57,5714323.0,41.0,5.0,97116.0,200.617,raikkonen,7.0,Finnish,lotus_f1,British,2012,4,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,57.0,3.0,0.0,94552.0,93789.0,93789.0,45,33,Sunny and hot[1][2] Air Temp 27 °C (81 °F)[2] Track Temp 33 °C (91 °F) dropping to 29 °C (84 °F)[2],1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,93789.0,94552.0,94043.33333333331,27,6,74,0,0,0,0,1,0,1,0,0,0,0,0,0,1,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +11.0,10,6,8.0,57,5768533.0,41.0,18.0,98372.0,198.056,resta,95.0,British,force_india,Indian,2012,4,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,17.0,8.0,0.0,96624.0,93510.0,93510.0,38,26,Sunny and hot[1][2] Air Temp 27 °C (81 °F)[2] Track Temp 33 °C (91 °F) dropping to 29 °C (84 °F)[2],1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,93510.0,96624.0,94548.0,25,1,23,0,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +16.0,6,15,0.0,56,,42.0,8.0,97903.0,199.005,ricciardo,3.0,Australian,toro_rosso,Italian,2012,4,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,6.0,9.0,0.0,93988.0,93556.0,92912.0,35,23,Sunny and hot[1][2] Air Temp 27 °C (81 °F)[2] Track Temp 33 °C (91 °F) dropping to 29 °C (84 °F)[2],1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,92912.0,93988.0,93485.33333333331,22,1,15,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +22.0,20,20,0.0,55,,41.0,22.0,100237.0,194.371,rosa,82.0,Spanish,hrt,Spanish,2012,4,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+2 Laps,0.0,0.0,12.0,0.0,97883.0,97883.0,97883.0,53,41,Sunny and hot[1][2] Air Temp 27 °C (81 °F)[2] Track Temp 33 °C (91 °F) dropping to 29 °C (84 °F)[2],1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,97883.0,97883.0,97883.0,35,6,27,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,5,5,10.0,57,5766450.0,41.0,10.0,98080.0,198.646,rosberg,6.0,German,mercedes,German,2012,4,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,1.0,37.0,5.0,1.0,94588.0,93219.0,92821.0,39,27,Sunny and hot[1][2] Air Temp 27 °C (81 °F)[2] Track Temp 33 °C (91 °F) dropping to 29 °C (84 °F)[2],1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,92821.0,94588.0,93542.66666666669,21,6,112,1,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,112.0,80.0,79.0,81.0,78.0 +17.0,17,14,0.0,57,5804713.0,43.0,4.0,97058.0,200.737,vergne,25.0,French,toro_rosso,Italian,2012,4,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,6.0,9.0,0.0,95014.0,95014.0,95014.0,34,22,Sunny and hot[1][2] Air Temp 27 °C (81 °F)[2] Track Temp 33 °C (91 °F) dropping to 29 °C (84 °F)[2],1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,95014.0,95014.0,95014.0,22,0,4,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +1.0,1,1,25.0,57,5710990.0,41.0,1.0,96379.0,202.151,vettel,5.0,German,red_bull,Austrian,2012,4,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,101.0,1.0,1.0,94308.0,93527.0,92422.0,37,25,Sunny and hot[1][2] Air Temp 27 °C (81 °F)[2] Track Temp 33 °C (91 °F) dropping to 29 °C (84 °F)[2],1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,92422.0,94308.0,93419.0,20,5,85,1,1,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,77.0,76.0,76.0,70.0,71.0 +2.0,3,4,12.0,57,5749778.0,45.0,6.0,97437.0,199.956,webber,91.0,Australian,red_bull,Austrian,2012,4,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,101.0,1.0,1.0,94015.0,93311.0,92637.0,48,36,Sunny and hot[1][2] Air Temp 27 °C (81 °F)[2] Track Temp 33 °C (91 °F) dropping to 29 °C (84 °F)[2],1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,92637.0,94015.0,93321.0,30,6,112,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,112.0,80.0,79.0,81.0,78.0 +5.0,2,2,18.0,66,5952340.0,46.0,3.0,87390.0,191.761,alonso,14.0,Spanish,ferrari,Italian,2012,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,1.0,63.0,4.0,1.0,83276.0,82862.0,82302.0,43,31,"Partially cloudy, dry: Air 23 °C (73 °F), Track 36 °C (97 °F)",0,0,1,0,1,Race circuit,Clockwise,4.657,66.0,307.236,82302.0,83276.0,82813.33333333333,25,6,113,1,0,0,0,1,0,1,0,1,0,0,0,0,0,0,0,0,0,112.0,80.0,79.0,81.0,78.0 +3.0,10,9,2.0,66,6034391.0,41.0,14.0,88624.0,189.09,button,22.0,British,mclaren,British,2012,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,1.0,98.0,2.0,1.0,83510.0,82944.0,82944.0,44,32,"Partially cloudy, dry: Air 23 °C (73 °F), Track 36 °C (97 °F)",0,0,1,0,1,Race circuit,Clockwise,4.657,66.0,307.236,82944.0,83510.0,83132.66666666667,26,6,113,2,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,112.0,80.0,79.0,81.0,78.0 +24.0,21,18,0.0,64,,49.0,19.0,89599.0,187.033,glock,65.0,German,marussia,Russian,2012,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+2 Laps,0.0,0.0,10.0,0.0,87032.0,87032.0,87032.0,42,30,"Partially cloudy, dry: Air 23 °C (73 °F), Track 36 °C (97 °F)",0,0,1,0,1,Race circuit,Clockwise,4.657,66.0,307.236,87032.0,87032.0,87032.0,26,4,76,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,74.0,75.0,75.0,72.0,71.0 +10.0,3,4,12.0,66,5963944.0,53.0,1.0,86250.0,194.295,grosjean,8.0,French,lotus_f1,British,2012,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,84.0,3.0,0.0,83248.0,82667.0,82424.0,38,26,"Partially cloudy, dry: Air 23 °C (73 °F), Track 36 °C (97 °F)",0,0,1,0,1,Race circuit,Clockwise,4.657,66.0,307.236,82424.0,83248.0,82779.66666666667,23,3,12,1,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +4.0,24,8,4.0,66,6027285.0,50.0,18.0,88918.0,188.465,hamilton,44.0,British,mclaren,British,2012,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,98.0,2.0,1.0,82583.0,82465.0,81707.0,39,27,"Partially cloudy, dry: Air 23 °C (73 °F), Track 36 °C (97 °F)",0,0,1,0,1,Race circuit,Clockwise,4.657,66.0,307.236,81707.0,82583.0,82251.66666666667,22,5,95,3,0,3,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,96.0,84.0,79.0,78.0,77.0 +12.0,13,10,1.0,65,,48.0,17.0,88912.0,188.478,hulkenberg,27.0,German,force_india,Indian,2012,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,18.0,8.0,0.0,83720.0,83177.0,83177.0,37,25,"Partially cloudy, dry: Air 23 °C (73 °F), Track 36 °C (97 °F)",0,0,1,0,1,Race circuit,Clockwise,4.657,66.0,307.236,83177.0,83720.0,83358.0,23,2,24,0,0,0,0,0,0,0,0,1,0,0,1,0,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +14.0,9,5,10.0,66,6013786.0,45.0,8.0,88266.0,189.857,kobayashi,10.0,Japanese,sauber,Swiss,2012,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,41.0,7.0,0.0,83386.0,82897.0,82897.0,38,26,"Partially cloudy, dry: Air 23 °C (73 °F), Track 36 °C (97 °F)",0,0,1,0,1,Race circuit,Clockwise,4.657,66.0,307.236,82897.0,83386.0,83060.0,23,3,45,0,0,0,0,0,1,0,0,0,1,0,0,1,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +20.0,19,16,0.0,65,,50.0,15.0,88715.0,188.897,kovalainen,52.0,Finnish,caterham,Malaysian,2012,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,0.0,11.0,0.0,85507.0,85507.0,85507.0,43,31,"Partially cloudy, dry: Air 23 °C (73 °F), Track 36 °C (97 °F)",0,0,1,0,1,Race circuit,Clockwise,4.657,66.0,307.236,85507.0,85507.0,85507.0,26,5,95,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,96.0,84.0,79.0,78.0,77.0 +18.0,1,1,25.0,66,5949145.0,26.0,6.0,87906.0,190.635,maldonado,13.0,Venezuelan,williams,British,2012,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,43.0,6.0,1.0,83380.0,82105.0,82285.0,39,27,"Partially cloudy, dry: Air 23 °C (73 °F), Track 36 °C (97 °F)",0,0,1,0,1,Race circuit,Clockwise,4.657,66.0,307.236,82105.0,83380.0,82590.0,26,1,24,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +6.0,16,15,0.0,65,,47.0,11.0,88448.0,189.467,massa,19.0,Brazilian,ferrari,Italian,2012,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,63.0,4.0,1.0,83886.0,83444.0,83444.0,43,31,"Partially cloudy, dry: Air 23 °C (73 °F), Track 36 °C (97 °F)",0,0,1,0,1,Race circuit,Clockwise,4.657,66.0,307.236,83444.0,83886.0,83591.33333333333,25,6,106,0,0,0,0,0,0,0,0,1,0,0,0,1,0,1,0,1,0,107.0,80.0,80.0,79.0,78.0 +21.0,18,17,0.0,65,,48.0,16.0,88773.0,188.773,petrov,83.0,Russian,caterham,Malaysian,2012,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,0.0,11.0,0.0,85277.0,85277.0,85277.0,40,28,"Partially cloudy, dry: Air 23 °C (73 °F), Track 36 °C (97 °F)",0,0,1,0,1,Race circuit,Clockwise,4.657,66.0,307.236,85277.0,85277.0,85277.0,26,2,43,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,1,72.0,76.0,76.0,76.0,74.0 +9.0,4,3,15.0,66,5953029.0,50.0,2.0,86938.0,192.758,raikkonen,7.0,Finnish,lotus_f1,British,2012,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,84.0,3.0,0.0,83406.0,82856.0,82487.0,45,33,"Partially cloudy, dry: Air 23 °C (73 °F), Track 36 °C (97 °F)",0,0,1,0,1,Race circuit,Clockwise,4.657,66.0,307.236,82487.0,83406.0,82916.33333333333,27,6,75,1,1,0,0,1,0,1,0,0,0,0,0,0,1,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +11.0,12,14,0.0,65,,44.0,10.0,88313.0,189.756,resta,95.0,British,force_india,Indian,2012,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,18.0,8.0,0.0,83852.0,83125.0,83125.0,38,26,"Partially cloudy, dry: Air 23 °C (73 °F), Track 36 °C (97 °F)",0,0,1,0,1,Race circuit,Clockwise,4.657,66.0,307.236,83125.0,83852.0,83367.33333333333,25,1,24,0,0,0,0,0,1,1,0,0,1,0,1,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +16.0,15,13,0.0,65,,44.0,12.0,88587.0,189.169,ricciardo,3.0,Australian,toro_rosso,Italian,2012,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,6.0,9.0,0.0,83906.0,83442.0,83442.0,35,23,"Partially cloudy, dry: Air 23 °C (73 °F), Track 36 °C (97 °F)",0,0,1,0,1,Race circuit,Clockwise,4.657,66.0,307.236,83442.0,83906.0,83596.66666666667,22,1,16,0,0,0,0,0,0,0,0,1,0,0,1,0,0,1,0,1,0,58.0,72.0,78.0,73.0,72.0 +22.0,22,19,0.0,63,,54.0,20.0,90722.0,184.718,rosa,82.0,Spanish,hrt,Spanish,2012,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+3 Laps,0.0,0.0,12.0,0.0,87555.0,87555.0,87555.0,53,41,"Partially cloudy, dry: Air 23 °C (73 °F), Track 36 °C (97 °F)",0,0,1,0,1,Race circuit,Clockwise,4.657,66.0,307.236,87555.0,87555.0,87555.0,35,6,28,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,6,7,6.0,66,6027064.0,45.0,7.0,88150.0,190.107,rosberg,6.0,German,mercedes,German,2012,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,1.0,43.0,5.0,1.0,83370.0,82882.0,83005.0,39,27,"Partially cloudy, dry: Air 23 °C (73 °F), Track 36 °C (97 °F)",0,0,1,0,1,Race circuit,Clockwise,4.657,66.0,307.236,82882.0,83370.0,83085.66666666667,21,6,113,1,0,0,0,1,0,0,0,0,0,0,1,1,0,0,0,0,0,112.0,80.0,79.0,81.0,78.0 +17.0,14,12,0.0,65,,54.0,9.0,88308.0,189.767,vergne,25.0,French,toro_rosso,Italian,2012,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,6.0,9.0,0.0,84362.0,83265.0,83265.0,34,22,"Partially cloudy, dry: Air 23 °C (73 °F), Track 36 °C (97 °F)",0,0,1,0,1,Race circuit,Clockwise,4.657,66.0,307.236,83265.0,84362.0,83630.66666666667,22,0,5,0,0,0,0,0,0,0,1,0,0,1,0,0,1,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +1.0,7,6,8.0,66,6016721.0,65.0,4.0,87768.0,190.935,vettel,5.0,German,red_bull,Austrian,2012,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,1.0,109.0,1.0,1.0,83850.0,82884.0,82884.0,37,25,"Partially cloudy, dry: Air 23 °C (73 °F), Track 36 °C (97 °F)",0,0,1,0,1,Race circuit,Clockwise,4.657,66.0,307.236,82884.0,83850.0,83206.0,20,5,86,2,1,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,91.0,83.0,77.0,75.0,75.0 +2.0,11,11,0.0,65,,44.0,5.0,87857.0,190.741,webber,91.0,Australian,red_bull,Austrian,2012,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,109.0,1.0,1.0,83592.0,82977.0,82977.0,48,36,"Partially cloudy, dry: Air 23 °C (73 °F), Track 36 °C (97 °F)",0,0,1,0,1,Race circuit,Clockwise,4.657,66.0,307.236,82977.0,83592.0,83182.0,30,6,113,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,112.0,80.0,79.0,81.0,78.0 +5.0,5,3,15.0,78,6367504.0,45.0,5.0,78857.0,152.478,alonso,14.0,Spanish,ferrari,Italian,2012,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,1.0,86.0,3.0,1.0,76153.0,75128.0,74948.0,43,31,"Fine and Dry, showers threatening at end[2] Air Temp 21 °C (70 °F)[2] Track Temp 38 °C (100 °F) dropping to 31 °C (88 °F)[2]",1,0,1,1,0,Street circuit,Clockwise,3.337,78.0,260.286,74948.0,76153.0,75409.66666666667,25,6,114,2,1,0,0,1,0,1,0,1,0,0,0,0,0,0,0,0,0,115.0,80.0,78.0,82.0,78.0 +19.0,13,10,1.0,78,6411073.0,51.0,11.0,79187.0,151.843,bruno_senna,85.0,Brazilian,williams,British,2012,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,44.0,6.0,1.0,75923.0,75709.0,75709.0,41,29,"Fine and Dry, showers threatening at end[2] Air Temp 21 °C (70 °F)[2] Track Temp 38 °C (100 °F) dropping to 31 °C (88 °F)[2]",1,0,1,1,0,Street circuit,Clockwise,3.337,78.0,260.286,75709.0,75923.0,75780.33333333333,27,2,32,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +24.0,19,14,0.0,77,,60.0,15.0,79637.0,150.985,glock,65.0,German,marussia,Russian,2012,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,0.0,11.0,0.0,77947.0,77947.0,77947.0,42,30,"Fine and Dry, showers threatening at end[2] Air Temp 21 °C (70 °F)[2] Track Temp 38 °C (100 °F) dropping to 31 °C (88 °F)[2]",1,0,1,1,0,Street circuit,Clockwise,3.337,78.0,260.286,77947.0,77947.0,77947.0,26,4,77,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,1,74.0,75.0,75.0,72.0,71.0 +4.0,3,5,10.0,78,6370658.0,46.0,4.0,78806.0,152.577,hamilton,44.0,British,mclaren,British,2012,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,108.0,2.0,1.0,76063.0,75166.0,74583.0,39,27,"Fine and Dry, showers threatening at end[2] Air Temp 21 °C (70 °F)[2] Track Temp 38 °C (100 °F) dropping to 31 °C (88 °F)[2]",1,0,1,1,0,Street circuit,Clockwise,3.337,78.0,260.286,74583.0,76063.0,75270.66666666667,22,5,96,3,0,3,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,96.0,84.0,79.0,78.0,77.0 +12.0,10,8,4.0,78,6409119.0,35.0,2.0,78423.0,153.322,hulkenberg,27.0,German,force_india,Indian,2012,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,28.0,8.0,0.0,75418.0,75421.0,75421.0,37,25,"Fine and Dry, showers threatening at end[2] Air Temp 21 °C (70 °F)[2] Track Temp 38 °C (100 °F) dropping to 31 °C (88 °F)[2]",1,0,1,1,0,Street circuit,Clockwise,3.337,78.0,260.286,75418.0,75421.0,75420.0,23,2,25,0,0,0,0,0,0,0,0,1,1,0,1,0,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +23.0,22,15,0.0,76,,44.0,19.0,80286.0,149.764,karthikeyan,56.0,Indian,hrt,Spanish,2012,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+2 Laps,0.0,0.0,12.0,0.0,79310.0,79310.0,79310.0,47,35,"Fine and Dry, showers threatening at end[2] Air Temp 21 °C (70 °F)[2] Track Temp 38 °C (100 °F) dropping to 31 °C (88 °F)[2]",1,0,1,1,0,Street circuit,Clockwise,3.337,78.0,260.286,79310.0,79310.0,79310.0,34,1,15,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +20.0,17,13,0.0,77,,76.0,13.0,79305.0,151.617,kovalainen,52.0,Finnish,caterham,Malaysian,2012,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,0.0,10.0,0.0,76538.0,76538.0,76538.0,43,31,"Fine and Dry, showers threatening at end[2] Air Temp 21 °C (70 °F)[2] Track Temp 38 °C (100 °F) dropping to 31 °C (88 °F)[2]",1,0,1,1,0,Street circuit,Clockwise,3.337,78.0,260.286,76538.0,76538.0,76538.0,26,5,96,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,2,96.0,84.0,79.0,78.0,77.0 +6.0,7,6,8.0,78,6372752.0,41.0,10.0,79101.0,152.008,massa,19.0,Brazilian,ferrari,Italian,2012,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,86.0,3.0,1.0,75983.0,74911.0,75049.0,43,31,"Fine and Dry, showers threatening at end[2] Air Temp 21 °C (70 °F)[2] Track Temp 38 °C (100 °F) dropping to 31 °C (88 °F)[2]",1,0,1,1,0,Street circuit,Clockwise,3.337,78.0,260.286,74911.0,75983.0,75314.33333333333,25,6,107,0,0,0,0,0,0,0,0,1,0,0,0,1,0,2,0,1,0,107.0,80.0,80.0,79.0,78.0 +15.0,23,11,0.0,77,,49.0,1.0,77296.0,155.557,perez,11.0,Mexican,sauber,Swiss,2012,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,41.0,7.0,0.0,79310.0,79310.0,79310.0,34,22,"Fine and Dry, showers threatening at end[2] Air Temp 21 °C (70 °F)[2] Track Temp 38 °C (100 °F) dropping to 31 °C (88 °F)[2]",1,0,1,1,0,Street circuit,Clockwise,3.337,78.0,260.286,79310.0,79310.0,79310.0,21,1,24,1,1,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +9.0,8,9,2.0,78,6410593.0,51.0,12.0,79246.0,151.73,raikkonen,7.0,Finnish,lotus_f1,British,2012,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,86.0,4.0,0.0,75889.0,75322.0,75199.0,45,33,"Fine and Dry, showers threatening at end[2] Air Temp 21 °C (70 °F)[2] Track Temp 38 °C (100 °F) dropping to 31 °C (88 °F)[2]",1,0,1,1,0,Street circuit,Clockwise,3.337,78.0,260.286,75199.0,75889.0,75470.0,27,6,76,2,1,1,0,1,0,1,0,0,0,0,0,0,1,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +11.0,14,7,6.0,78,6408094.0,51.0,17.0,79757.0,150.757,resta,95.0,British,force_india,Indian,2012,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,28.0,8.0,0.0,76062.0,75718.0,75718.0,38,26,"Fine and Dry, showers threatening at end[2] Air Temp 21 °C (70 °F)[2] Track Temp 38 °C (100 °F) dropping to 31 °C (88 °F)[2]",1,0,1,1,0,Street circuit,Clockwise,3.337,78.0,260.286,75718.0,76062.0,75832.66666666667,25,1,25,0,0,0,0,0,1,1,0,0,1,0,1,0,1,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,2,2,18.0,78,6367200.0,46.0,7.0,78977.0,152.246,rosberg,6.0,German,mercedes,German,2012,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,1.0,61.0,5.0,1.0,75900.0,75022.0,74448.0,39,27,"Fine and Dry, showers threatening at end[2] Air Temp 21 °C (70 °F)[2] Track Temp 38 °C (100 °F) dropping to 31 °C (88 °F)[2]",1,0,1,1,0,Street circuit,Clockwise,3.337,78.0,260.286,74448.0,75900.0,75123.33333333333,21,6,114,1,0,0,0,1,0,1,0,0,0,0,1,1,0,0,0,0,0,115.0,80.0,78.0,82.0,78.0 +17.0,16,12,0.0,77,,25.0,8.0,79013.0,152.177,vergne,25.0,French,toro_rosso,Italian,2012,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,6.0,9.0,0.0,76491.0,76885.0,76885.0,34,22,"Fine and Dry, showers threatening at end[2] Air Temp 21 °C (70 °F)[2] Track Temp 38 °C (100 °F) dropping to 31 °C (88 °F)[2]",1,0,1,1,0,Street circuit,Clockwise,3.337,78.0,260.286,76491.0,76885.0,76753.66666666667,22,0,6,0,0,0,0,0,0,0,1,0,0,1,1,0,1,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +1.0,9,4,12.0,78,6367900.0,43.0,9.0,79076.0,152.056,vettel,5.0,German,red_bull,Austrian,2012,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,1.0,146.0,1.0,2.0,75757.0,75234.0,75234.0,37,25,"Fine and Dry, showers threatening at end[2] Air Temp 21 °C (70 °F)[2] Track Temp 38 °C (100 °F) dropping to 31 °C (88 °F)[2]",1,0,1,1,0,Street circuit,Clockwise,3.337,78.0,260.286,75234.0,75757.0,75408.33333333333,20,5,87,2,1,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,0,91.0,83.0,77.0,75.0,75.0 +2.0,1,1,25.0,78,6366557.0,45.0,3.0,78805.0,152.579,webber,91.0,Australian,red_bull,Austrian,2012,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,146.0,1.0,2.0,76013.0,75035.0,74381.0,48,36,"Fine and Dry, showers threatening at end[2] Air Temp 21 °C (70 °F)[2] Track Temp 38 °C (100 °F) dropping to 31 °C (88 °F)[2]",1,0,1,1,0,Street circuit,Clockwise,3.337,78.0,260.286,74381.0,76013.0,75143.0,30,6,114,0,0,0,4,0,0,0,0,0,0,1,0,0,0,0,0,0,0,115.0,80.0,78.0,82.0,78.0 +5.0,3,5,10.0,70,5562997.0,42.0,15.0,77820.0,201.742,alonso,14.0,Spanish,ferrari,Italian,2012,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,1.0,97.0,4.0,1.0,74916.0,74314.0,74151.0,43,31,"Fine, dry and warm;[2] with air temperature approaching 29 °C (84 °F)[2] Track Temp 45 °C (113 °F) dropping to 39 °C (102 °F)[2]",1,0,1,0,0,Street circuit,Clockwise,4.361,70.0,305.27,74151.0,74916.0,74460.33333333333,25,6,115,3,1,1,0,1,0,1,0,1,0,0,0,0,0,0,0,0,0,115.0,80.0,78.0,82.0,78.0 +19.0,16,17,0.0,69,,67.0,14.0,77817.0,201.75,bruno_senna,85.0,Brazilian,williams,British,2012,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,44.0,7.0,1.0,74995.0,75170.0,75170.0,41,29,"Fine, dry and warm;[2] with air temperature approaching 29 °C (84 °F)[2] Track Temp 45 °C (113 °F) dropping to 39 °C (102 °F)[2]",1,0,1,0,0,Street circuit,Clockwise,4.361,70.0,305.27,74995.0,75170.0,75111.66666666667,27,2,33,0,0,0,0,0,1,1,0,0,1,0,0,0,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +3.0,10,16,0.0,69,,63.0,16.0,77843.0,201.682,button,22.0,British,mclaren,British,2012,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,1.0,133.0,2.0,2.0,74799.0,74680.0,75182.0,44,32,"Fine, dry and warm;[2] with air temperature approaching 29 °C (84 °F)[2] Track Temp 45 °C (113 °F) dropping to 39 °C (102 °F)[2]",1,0,1,0,0,Street circuit,Clockwise,4.361,70.0,305.27,74680.0,75182.0,74887.0,26,6,115,2,1,0,0,0,0,0,0,1,0,0,0,0,1,0,1,0,1,115.0,80.0,78.0,82.0,78.0 +10.0,7,2,18.0,70,5552099.0,57.0,11.0,77264.0,203.194,grosjean,8.0,French,lotus_f1,British,2012,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,108.0,3.0,0.0,75163.0,74627.0,74645.0,38,26,"Fine, dry and warm;[2] with air temperature approaching 29 °C (84 °F)[2] Track Temp 45 °C (113 °F) dropping to 39 °C (102 °F)[2]",1,0,1,0,0,Street circuit,Clockwise,4.361,70.0,305.27,74627.0,75163.0,74811.66666666667,23,3,14,1,0,1,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +4.0,2,1,25.0,70,5549586.0,59.0,6.0,77020.0,203.837,hamilton,44.0,British,mclaren,British,2012,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,133.0,2.0,2.0,74891.0,74371.0,74087.0,39,27,"Fine, dry and warm;[2] with air temperature approaching 29 °C (84 °F)[2] Track Temp 45 °C (113 °F) dropping to 39 °C (102 °F)[2]",1,0,1,0,0,Street circuit,Clockwise,4.361,70.0,305.27,74087.0,74891.0,74449.66666666667,22,5,97,3,0,3,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,100.0,83.0,81.0,81.0,78.0 +12.0,13,12,0.0,70,5595822.0,62.0,9.0,77202.0,203.357,hulkenberg,27.0,German,force_india,Indian,2012,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,28.0,8.0,0.0,75106.0,74748.0,74748.0,37,25,"Fine, dry and warm;[2] with air temperature approaching 29 °C (84 °F)[2] Track Temp 45 °C (113 °F) dropping to 39 °C (102 °F)[2]",1,0,1,0,0,Street circuit,Clockwise,4.361,70.0,305.27,74748.0,75106.0,74867.33333333333,23,2,26,0,0,0,0,0,0,0,1,1,1,0,1,0,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +14.0,11,9,2.0,70,5574018.0,61.0,12.0,77464.0,202.669,kobayashi,10.0,Japanese,sauber,Swiss,2012,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,58.0,6.0,0.0,75101.0,74688.0,74688.0,38,26,"Fine, dry and warm;[2] with air temperature approaching 29 °C (84 °F)[2] Track Temp 45 °C (113 °F) dropping to 39 °C (102 °F)[2]",1,0,1,0,0,Street circuit,Clockwise,4.361,70.0,305.27,74688.0,75101.0,74825.66666666667,23,3,47,0,0,0,0,1,1,0,0,0,1,0,0,1,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +20.0,17,18,0.0,69,,62.0,19.0,78128.0,200.947,kovalainen,52.0,Finnish,caterham,Malaysian,2012,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,0.0,10.0,0.0,76263.0,76263.0,76263.0,43,31,"Fine, dry and warm;[2] with air temperature approaching 29 °C (84 °F)[2] Track Temp 45 °C (113 °F) dropping to 39 °C (102 °F)[2]",1,0,1,0,0,Street circuit,Clockwise,4.361,70.0,305.27,76263.0,76263.0,76263.0,26,5,97,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,1,2,100.0,83.0,81.0,81.0,78.0 +18.0,22,13,0.0,70,5596638.0,67.0,13.0,77489.0,202.604,maldonado,13.0,Venezuelan,williams,British,2012,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,1.0,44.0,7.0,1.0,74979.0,75231.0,75231.0,39,27,"Fine, dry and warm;[2] with air temperature approaching 29 °C (84 °F)[2] Track Temp 45 °C (113 °F) dropping to 39 °C (102 °F)[2]",1,0,1,0,0,Street circuit,Clockwise,4.361,70.0,305.27,74979.0,75231.0,75147.0,26,1,26,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +6.0,6,10,1.0,70,5574858.0,69.0,2.0,76182.0,206.08,massa,19.0,Brazilian,ferrari,Italian,2012,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,97.0,4.0,1.0,75194.0,74641.0,74465.0,43,31,"Fine, dry and warm;[2] with air temperature approaching 29 °C (84 °F)[2] Track Temp 45 °C (113 °F) dropping to 39 °C (102 °F)[2]",1,0,1,0,0,Street circuit,Clockwise,4.361,70.0,305.27,74465.0,75194.0,74766.66666666667,25,6,108,0,0,0,0,0,1,0,0,1,0,0,0,1,0,2,0,1,0,107.0,80.0,80.0,79.0,78.0 +15.0,15,3,15.0,70,5554846.0,67.0,3.0,76414.0,205.454,perez,11.0,Mexican,sauber,Swiss,2012,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,58.0,6.0,0.0,75326.0,75156.0,75156.0,34,22,"Fine, dry and warm;[2] with air temperature approaching 29 °C (84 °F)[2] Track Temp 45 °C (113 °F) dropping to 39 °C (102 °F)[2]",1,0,1,0,0,Street circuit,Clockwise,4.361,70.0,305.27,75156.0,75326.0,75212.66666666667,21,1,25,1,1,0,0,0,0,0,1,0,0,3,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +21.0,18,19,0.0,69,,58.0,18.0,78093.0,201.037,petrov,83.0,Russian,caterham,Malaysian,2012,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,0.0,10.0,0.0,76482.0,76482.0,76482.0,40,28,"Fine, dry and warm;[2] with air temperature approaching 29 °C (84 °F)[2] Track Temp 45 °C (113 °F) dropping to 39 °C (102 °F)[2]",1,0,1,0,0,Street circuit,Clockwise,4.361,70.0,305.27,76482.0,76482.0,76482.0,26,2,45,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,1,1,72.0,76.0,76.0,76.0,74.0 +25.0,23,20,0.0,69,,63.0,21.0,80632.0,194.706,pic,40.0,French,marussia,Russian,2012,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+3 Laps,0.0,0.0,11.0,0.0,78255.0,78255.0,78255.0,34,22,"Fine, dry and warm;[2] with air temperature approaching 29 °C (84 °F)[2] Track Temp 45 °C (113 °F) dropping to 39 °C (102 °F)[2]",1,0,1,0,0,Street circuit,Clockwise,4.361,70.0,305.27,78255.0,78255.0,78255.0,22,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,58.0,72.0,78.0,73.0,72.0 +9.0,12,8,4.0,70,5565153.0,70.0,5.0,76764.0,204.517,raikkonen,7.0,Finnish,lotus_f1,British,2012,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,108.0,3.0,0.0,74995.0,74734.0,74734.0,45,33,"Fine, dry and warm;[2] with air temperature approaching 29 °C (84 °F)[2] Track Temp 45 °C (113 °F) dropping to 39 °C (102 °F)[2]",1,0,1,0,0,Street circuit,Clockwise,4.361,70.0,305.27,74734.0,74995.0,74821.0,27,6,77,2,1,1,0,1,0,1,0,1,0,0,0,0,1,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +11.0,8,11,0.0,70,5587279.0,63.0,10.0,77219.0,203.312,resta,95.0,British,force_india,Indian,2012,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,28.0,8.0,0.0,75019.0,74639.0,74705.0,38,26,"Fine, dry and warm;[2] with air temperature approaching 29 °C (84 °F)[2] Track Temp 45 °C (113 °F) dropping to 39 °C (102 °F)[2]",1,0,1,0,0,Street circuit,Clockwise,4.361,70.0,305.27,74639.0,75019.0,74787.66666666667,25,1,26,0,0,0,0,0,1,2,0,0,1,0,1,0,1,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +16.0,14,14,0.0,70,5614061.0,70.0,4.0,76609.0,204.931,ricciardo,3.0,Australian,toro_rosso,Italian,2012,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,6.0,9.0,0.0,75552.0,75078.0,75078.0,35,23,"Fine, dry and warm;[2] with air temperature approaching 29 °C (84 °F)[2] Track Temp 45 °C (113 °F) dropping to 39 °C (102 °F)[2]",1,0,1,0,0,Street circuit,Clockwise,4.361,70.0,305.27,75078.0,75552.0,75236.0,22,1,18,0,0,0,0,0,0,0,0,1,0,0,1,1,0,1,0,2,0,58.0,72.0,78.0,73.0,72.0 +8.0,5,6,8.0,70,5563428.0,67.0,7.0,77060.0,203.732,rosberg,6.0,German,mercedes,German,2012,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,1.0,69.0,5.0,1.0,75098.0,74568.0,74411.0,39,27,"Fine, dry and warm;[2] with air temperature approaching 29 °C (84 °F)[2] Track Temp 45 °C (113 °F) dropping to 39 °C (102 °F)[2]",1,0,1,0,0,Street circuit,Clockwise,4.361,70.0,305.27,74411.0,75098.0,74692.33333333333,21,6,115,2,1,0,0,1,0,1,0,0,0,0,1,1,0,0,0,0,0,115.0,80.0,78.0,82.0,78.0 +17.0,19,15,0.0,69,,55.0,17.0,77875.0,201.6,vergne,25.0,French,toro_rosso,Italian,2012,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,6.0,9.0,0.0,76602.0,76602.0,76602.0,34,22,"Fine, dry and warm;[2] with air temperature approaching 29 °C (84 °F)[2] Track Temp 45 °C (113 °F) dropping to 39 °C (102 °F)[2]",1,0,1,0,0,Street circuit,Clockwise,4.361,70.0,305.27,76602.0,76602.0,76602.0,22,0,7,0,0,0,0,0,0,0,1,0,0,1,2,0,1,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +1.0,1,4,12.0,70,5556881.0,70.0,1.0,75752.0,207.249,vettel,5.0,German,red_bull,Austrian,2012,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,1.0,164.0,1.0,2.0,74661.0,74187.0,73784.0,37,25,"Fine, dry and warm;[2] with air temperature approaching 29 °C (84 °F)[2] Track Temp 45 °C (113 °F) dropping to 39 °C (102 °F)[2]",1,0,1,0,0,Street circuit,Clockwise,4.361,70.0,305.27,73784.0,74661.0,74210.66666666667,20,5,88,2,1,0,1,1,1,0,0,0,0,1,0,0,0,0,0,0,0,91.0,83.0,77.0,75.0,75.0 +2.0,4,7,6.0,70,5564671.0,62.0,8.0,77131.0,203.544,webber,91.0,Australian,red_bull,Austrian,2012,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,1.0,164.0,1.0,2.0,74956.0,74479.0,74346.0,48,36,"Fine, dry and warm;[2] with air temperature approaching 29 °C (84 °F)[2] Track Temp 45 °C (113 °F) dropping to 39 °C (102 °F)[2]",1,0,1,0,0,Street circuit,Clockwise,4.361,70.0,305.27,74346.0,74956.0,74593.66666666667,30,6,115,1,0,0,4,0,0,0,0,0,0,1,0,0,0,0,0,0,0,115.0,80.0,78.0,82.0,78.0 +5.0,11,1,25.0,57,6256649.0,40.0,5.0,103666.0,188.185,alonso,14.0,Spanish,ferrari,Italian,2012,8,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,Finished,1.0,122.0,4.0,1.0,99409.0,98707.0,98707.0,43,31,Fine and Dry[2] Air Temp 27 °C (81 °F)[2] Track Temp 45 °C (113 °F)[2],1,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,98707.0,99409.0,98941.0,25,6,116,3,1,1,0,2,0,1,0,1,0,0,0,0,0,0,0,0,0,115.0,80.0,78.0,82.0,78.0 +19.0,14,10,1.0,57,6292610.0,44.0,12.0,104111.0,187.38,bruno_senna,85.0,Brazilian,williams,British,2012,8,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,Finished,0.0,45.0,7.0,1.0,99449.0,99207.0,99207.0,41,29,Fine and Dry[2] Air Temp 27 °C (81 °F)[2] Track Temp 45 °C (113 °F)[2],1,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,99207.0,99449.0,99287.66666666669,27,2,34,0,0,0,0,0,1,1,0,0,1,0,0,0,0,0,1,1,0,58.0,72.0,78.0,73.0,72.0 +3.0,9,8,4.0,57,6281302.0,48.0,17.0,104806.0,186.138,button,22.0,British,mclaren,British,2012,8,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,Finished,1.0,137.0,2.0,2.0,99622.0,98563.0,98801.0,44,32,Fine and Dry[2] Air Temp 27 °C (81 °F)[2] Track Temp 45 °C (113 °F)[2],1,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,98563.0,99622.0,98995.33333333331,26,6,116,2,1,0,0,0,0,0,0,1,0,0,0,0,1,0,2,0,1,115.0,80.0,78.0,82.0,78.0 +12.0,8,5,10.0,57,6276642.0,40.0,13.0,104226.0,187.174,hulkenberg,27.0,German,force_india,Indian,2012,8,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,Finished,0.0,44.0,8.0,0.0,99009.0,98689.0,98752.0,37,25,Fine and Dry[2] Air Temp 27 °C (81 °F)[2] Track Temp 45 °C (113 °F)[2],1,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,98689.0,99009.0,98816.66666666669,23,2,27,0,0,0,0,0,0,0,1,1,1,0,2,0,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +23.0,22,18,0.0,56,,42.0,21.0,106388.0,183.37,karthikeyan,56.0,Indian,hrt,Spanish,2012,8,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,+1 Lap,0.0,0.0,12.0,0.0,102527.0,102527.0,102527.0,47,35,Fine and Dry[2] Air Temp 27 °C (81 °F)[2] Track Temp 45 °C (113 °F)[2],1,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,102527.0,102527.0,102527.0,34,1,17,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +20.0,16,14,0.0,57,6351303.0,40.0,19.0,105294.0,185.275,kovalainen,52.0,Finnish,caterham,Malaysian,2012,8,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,Finished,0.0,0.0,10.0,0.0,100087.0,100295.0,100295.0,43,31,Fine and Dry[2] Air Temp 27 °C (81 °F)[2] Track Temp 45 °C (113 °F)[2],1,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,100087.0,100295.0,100225.66666666669,26,5,98,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,1,3,100.0,83.0,81.0,81.0,78.0 +18.0,3,12,0.0,57,6311279.0,43.0,10.0,104064.0,187.465,maldonado,13.0,Venezuelan,williams,British,2012,8,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,Finished,1.0,45.0,7.0,1.0,98825.0,98570.0,98475.0,39,27,Fine and Dry[2] Air Temp 27 °C (81 °F)[2] Track Temp 45 °C (113 °F)[2],1,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,98475.0,98825.0,98623.33333333331,26,1,27,1,0,0,0,0,0,0,1,0,0,0,0,2,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +6.0,13,16,0.0,56,,36.0,15.0,104431.0,186.806,massa,19.0,Brazilian,ferrari,Italian,2012,8,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,+1 Lap,0.0,122.0,4.0,2.0,99388.0,98780.0,98780.0,43,31,Fine and Dry[2] Air Temp 27 °C (81 °F)[2] Track Temp 45 °C (113 °F)[2],1,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,98780.0,99388.0,98982.66666666669,25,6,109,0,0,0,0,0,1,0,0,1,1,0,0,1,0,2,0,1,0,110.0,79.0,79.0,79.0,77.0 +7.0,12,3,15.0,57,6269288.0,43.0,3.0,103099.0,189.22,michael_schumacher,60.0,German,mercedes,German,2012,8,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,Finished,0.0,92.0,5.0,1.0,99447.0,98770.0,98770.0,55,43,Fine and Dry[2] Air Temp 27 °C (81 °F)[2] Track Temp 45 °C (113 °F)[2],1,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,98770.0,99447.0,98995.66666666669,37,6,64,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +15.0,15,9,2.0,57,6284426.0,43.0,4.0,103526.0,188.439,perez,11.0,Mexican,sauber,Swiss,2012,8,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,Finished,0.0,60.0,6.0,0.0,99353.0,99358.0,99358.0,34,22,Fine and Dry[2] Air Temp 27 °C (81 °F)[2] Track Temp 45 °C (113 °F)[2],1,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,99353.0,99358.0,99356.33333333331,21,1,26,2,1,1,0,0,0,0,1,0,0,3,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +21.0,20,13,0.0,57,6332520.0,54.0,14.0,104253.0,187.125,petrov,83.0,Russian,caterham,Malaysian,2012,8,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,Finished,0.0,0.0,10.0,0.0,100457.0,100457.0,100457.0,40,28,Fine and Dry[2] Air Temp 27 °C (81 °F)[2] Track Temp 45 °C (113 °F)[2],1,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,100457.0,100457.0,100457.0,26,2,46,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,1,1,72.0,76.0,76.0,76.0,74.0 +25.0,23,15,0.0,57,6353200.0,43.0,22.0,106701.0,182.832,pic,40.0,French,marussia,Russian,2012,8,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,Finished,0.0,0.0,11.0,0.0,102675.0,102675.0,102675.0,34,22,Fine and Dry[2] Air Temp 27 °C (81 °F)[2] Track Temp 45 °C (113 °F)[2],1,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,102675.0,102675.0,102675.0,22,0,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,58.0,72.0,78.0,73.0,72.0 +9.0,5,2,18.0,57,6263070.0,43.0,7.0,103686.0,188.148,raikkonen,7.0,Finnish,lotus_f1,British,2012,8,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,Finished,0.0,126.0,3.0,0.0,99464.0,98531.0,98513.0,45,33,Fine and Dry[2] Air Temp 27 °C (81 °F)[2] Track Temp 45 °C (113 °F)[2],1,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,98513.0,99464.0,98836.0,27,6,78,2,1,1,0,1,0,1,1,1,0,0,0,0,1,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +11.0,10,7,6.0,57,6279515.0,45.0,11.0,104101.0,187.398,resta,95.0,British,force_india,Indian,2012,8,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,Finished,0.0,44.0,8.0,0.0,98858.0,98519.0,98992.0,38,26,Fine and Dry[2] Air Temp 27 °C (81 °F)[2] Track Temp 45 °C (113 °F)[2],1,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,98519.0,98992.0,98789.66666666669,25,1,27,0,0,0,0,0,1,2,0,0,1,1,1,0,1,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +16.0,17,11,0.0,57,6293690.0,44.0,6.0,103674.0,188.17,ricciardo,3.0,Australian,toro_rosso,Italian,2012,8,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,Finished,0.0,6.0,9.0,0.0,99924.0,100358.0,100358.0,35,23,Fine and Dry[2] Air Temp 27 °C (81 °F)[2] Track Temp 45 °C (113 °F)[2],1,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,99924.0,100358.0,100213.33333333331,22,1,19,0,0,0,0,0,0,0,0,1,0,0,1,1,1,1,0,2,0,58.0,72.0,78.0,73.0,72.0 +22.0,21,17,0.0,56,,36.0,23.0,106799.0,182.664,rosa,82.0,Spanish,hrt,Spanish,2012,8,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,+1 Lap,0.0,0.0,12.0,0.0,102171.0,102171.0,102171.0,53,41,Fine and Dry[2] Air Temp 27 °C (81 °F)[2] Track Temp 45 °C (113 °F)[2],1,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,102171.0,102171.0,102171.0,35,6,31,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,6,6,8.0,57,6277825.0,54.0,1.0,102163.0,190.953,rosberg,6.0,German,mercedes,German,2012,8,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,Finished,1.0,92.0,5.0,1.0,99061.0,98504.0,98623.0,39,27,Fine and Dry[2] Air Temp 27 °C (81 °F)[2] Track Temp 45 °C (113 °F)[2],1,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,98504.0,99061.0,98729.33333333331,21,6,116,2,1,0,0,1,1,1,0,0,0,0,1,1,0,0,0,0,0,115.0,80.0,78.0,82.0,78.0 +2.0,19,4,12.0,57,6270277.0,40.0,2.0,102717.0,189.923,webber,91.0,Australian,red_bull,Austrian,2012,8,European Grand Prix,43200000.0,valencia,Valencia,Spain,39.4589,-0.331667,4.0,Finished,1.0,176.0,1.0,2.0,100395.0,100395.0,100395.0,48,36,Fine and Dry[2] Air Temp 27 °C (81 °F)[2] Track Temp 45 °C (113 °F)[2],1,0,1,0,0,Street circuit,Clockwise,5.419,57.0,308.883,100395.0,100395.0,100395.0,30,6,116,1,0,0,4,0,0,1,0,0,0,1,0,0,0,0,0,0,0,115.0,80.0,78.0,82.0,78.0 +5.0,1,2,18.0,52,5114348.0,49.0,7.0,95385.0,222.336,alonso,14.0,Spanish,ferrari,Italian,2012,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,2.0,152.0,2.0,2.0,106515.0,116921.0,111746.0,43,31,DryAir Temp 20 °C (68 °F)[2]Track Temp 31 °C (88 °F)[2],0,0,1,0,0,Race circuit,Clockwise,5.891,52.0,306.198,106515.0,116921.0,111727.33333333331,25,6,117,4,1,1,0,2,0,1,0,1,0,0,0,0,0,0,0,0,0,115.0,80.0,78.0,82.0,78.0 +19.0,13,9,2.0,52,5154635.0,48.0,12.0,95863.0,221.228,bruno_senna,85.0,Brazilian,williams,British,2012,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,47.0,7.0,1.0,107105.0,117426.0,117426.0,41,29,DryAir Temp 20 °C (68 °F)[2]Track Temp 31 °C (88 °F)[2],0,0,1,0,0,Race circuit,Clockwise,5.891,52.0,306.198,107105.0,117426.0,113985.66666666669,27,2,35,0,0,0,0,0,1,1,0,0,2,0,0,0,0,0,1,1,0,58.0,72.0,78.0,73.0,72.0 +3.0,16,10,1.0,52,5155732.0,52.0,14.0,96086.0,220.714,button,22.0,British,mclaren,British,2012,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,1.0,142.0,4.0,2.0,108044.0,108044.0,108044.0,44,32,DryAir Temp 20 °C (68 °F)[2]Track Temp 31 °C (88 °F)[2],0,0,1,0,0,Race circuit,Clockwise,5.891,52.0,306.198,108044.0,108044.0,108044.0,26,6,117,2,1,0,0,0,0,0,1,1,0,0,0,0,1,0,2,0,1,115.0,80.0,78.0,82.0,78.0 +24.0,20,18,0.0,51,,50.0,16.0,97422.0,217.687,glock,65.0,German,marussia,Russian,2012,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,0.0,11.0,0.0,111618.0,111618.0,111618.0,42,30,DryAir Temp 20 °C (68 °F)[2]Track Temp 31 °C (88 °F)[2],0,0,1,0,0,Race circuit,Clockwise,5.891,52.0,306.198,111618.0,111618.0,111618.0,26,4,80,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,1,1,77.0,76.0,76.0,70.0,71.0 +10.0,9,6,8.0,52,5128389.0,50.0,2.0,94884.0,223.51,grosjean,8.0,French,lotus_f1,British,2012,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,144.0,3.0,0.0,107043.0,116388.0,116388.0,38,26,DryAir Temp 20 °C (68 °F)[2]Track Temp 31 °C (88 °F)[2],0,0,1,0,0,Race circuit,Clockwise,5.891,52.0,306.198,107043.0,116388.0,113273.0,23,3,16,2,1,1,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +4.0,8,8,4.0,52,5147751.0,44.0,15.0,96173.0,220.515,hamilton,44.0,British,mclaren,British,2012,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,1.0,142.0,4.0,2.0,107433.0,114897.0,113543.0,39,27,DryAir Temp 20 °C (68 °F)[2]Track Temp 31 °C (88 °F)[2],0,0,1,0,0,Race circuit,Clockwise,5.891,52.0,306.198,107433.0,114897.0,111957.66666666669,22,5,99,4,0,3,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,100.0,83.0,81.0,81.0,78.0 +12.0,14,12,0.0,52,5159144.0,37.0,13.0,95981.0,220.956,hulkenberg,27.0,German,force_india,Indian,2012,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,44.0,8.0,0.0,106334.0,115556.0,114382.0,37,25,DryAir Temp 20 °C (68 °F)[2]Track Temp 31 °C (88 °F)[2],0,0,1,0,0,Race circuit,Clockwise,5.891,52.0,306.198,106334.0,115556.0,112090.66666666669,23,2,28,0,0,0,0,1,0,0,1,1,1,0,2,0,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +14.0,17,11,0.0,52,5156658.0,48.0,9.0,95478.0,222.12,kobayashi,10.0,Japanese,sauber,Swiss,2012,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,60.0,6.0,0.0,106649.0,117071.0,117071.0,38,26,DryAir Temp 20 °C (68 °F)[2]Track Temp 31 °C (88 °F)[2],0,0,1,0,0,Race circuit,Clockwise,5.891,52.0,306.198,106649.0,117071.0,113597.0,23,3,49,0,0,0,0,1,1,0,0,1,1,0,0,1,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +20.0,19,17,0.0,51,,37.0,19.0,98050.0,216.293,kovalainen,52.0,Finnish,caterham,Malaysian,2012,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,0.0,10.0,0.0,109477.0,109477.0,109477.0,43,31,DryAir Temp 20 °C (68 °F)[2]Track Temp 31 °C (88 °F)[2],0,0,1,0,0,Race circuit,Clockwise,5.891,52.0,306.198,109477.0,109477.0,109477.0,26,5,99,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,1,1,3,100.0,83.0,81.0,81.0,78.0 +18.0,7,16,0.0,51,,34.0,17.0,97515.0,217.48,maldonado,13.0,Venezuelan,williams,British,2012,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,1.0,47.0,7.0,1.0,106449.0,116802.0,113539.0,39,27,DryAir Temp 20 °C (68 °F)[2]Track Temp 31 °C (88 °F)[2],0,0,1,0,0,Race circuit,Clockwise,5.891,52.0,306.198,106449.0,116802.0,112263.33333333331,26,1,28,1,0,0,0,0,0,0,1,0,0,0,1,2,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +6.0,5,4,12.0,52,5120807.0,50.0,5.0,95041.0,223.141,massa,19.0,Brazilian,ferrari,Italian,2012,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,152.0,2.0,2.0,107401.0,116388.0,113065.0,43,31,DryAir Temp 20 °C (68 °F)[2]Track Temp 31 °C (88 °F)[2],0,0,1,0,0,Race circuit,Clockwise,5.891,52.0,306.198,107401.0,116388.0,112284.66666666669,25,6,110,0,0,0,0,0,1,0,0,1,1,0,0,1,0,2,1,1,0,110.0,79.0,79.0,79.0,77.0 +7.0,3,7,6.0,52,5140441.0,52.0,6.0,95191.0,222.789,michael_schumacher,60.0,German,mercedes,German,2012,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,98.0,5.0,1.0,106571.0,115799.0,112020.0,55,43,DryAir Temp 20 °C (68 °F)[2]Track Temp 31 °C (88 °F)[2],0,0,1,0,0,Race circuit,Clockwise,5.891,52.0,306.198,106571.0,115799.0,111463.33333333331,37,6,65,1,0,1,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +25.0,24,19,0.0,51,,50.0,18.0,98008.0,216.386,pic,40.0,French,marussia,Russian,2012,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,0.0,11.0,0.0,114143.0,114143.0,114143.0,34,22,DryAir Temp 20 °C (68 °F)[2]Track Temp 31 °C (88 °F)[2],0,0,1,0,0,Race circuit,Clockwise,5.891,52.0,306.198,114143.0,114143.0,114143.0,22,0,9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,1,58.0,72.0,78.0,73.0,72.0 +9.0,6,5,10.0,52,5121602.0,50.0,1.0,94661.0,224.037,raikkonen,7.0,Finnish,lotus_f1,British,2012,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,144.0,3.0,0.0,107309.0,116469.0,113290.0,45,33,DryAir Temp 20 °C (68 °F)[2]Track Temp 31 °C (88 °F)[2],0,0,1,0,0,Race circuit,Clockwise,5.891,52.0,306.198,107309.0,116469.0,112356.0,27,6,79,3,2,1,0,1,0,1,1,1,0,0,0,0,1,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +16.0,12,13,0.0,52,5162529.0,49.0,8.0,95448.0,222.19,ricciardo,3.0,Australian,toro_rosso,Italian,2012,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,6.0,9.0,0.0,107266.0,117132.0,117132.0,35,23,DryAir Temp 20 °C (68 °F)[2]Track Temp 31 °C (88 °F)[2],0,0,1,0,0,Race circuit,Clockwise,5.891,52.0,306.198,107266.0,117132.0,113843.33333333331,22,1,20,0,0,0,0,0,0,0,0,1,0,1,1,1,1,1,0,2,0,58.0,72.0,78.0,73.0,72.0 +22.0,21,20,0.0,50,,44.0,21.0,99618.0,212.889,rosa,82.0,Spanish,hrt,Spanish,2012,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+2 Laps,0.0,0.0,12.0,0.0,112742.0,112742.0,112742.0,53,41,DryAir Temp 20 °C (68 °F)[2]Track Temp 31 °C (88 °F)[2],0,0,1,0,0,Race circuit,Clockwise,5.891,52.0,306.198,112742.0,112742.0,112742.0,35,6,32,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +8.0,11,15,0.0,52,5168682.0,49.0,11.0,95750.0,221.489,rosberg,6.0,German,mercedes,German,2012,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,1.0,98.0,5.0,1.0,107724.0,117108.0,117108.0,39,27,DryAir Temp 20 °C (68 °F)[2]Track Temp 31 °C (88 °F)[2],0,0,1,0,0,Race circuit,Clockwise,5.891,52.0,306.198,107724.0,117108.0,113980.0,21,6,117,2,1,0,0,1,2,1,0,0,0,0,1,1,0,0,0,0,0,115.0,80.0,78.0,82.0,78.0 +17.0,23,14,0.0,52,5164601.0,49.0,10.0,95514.0,222.036,vergne,25.0,French,toro_rosso,Italian,2012,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,6.0,9.0,0.0,107705.0,117719.0,117719.0,34,22,DryAir Temp 20 °C (68 °F)[2]Track Temp 31 °C (88 °F)[2],0,0,1,0,0,Race circuit,Clockwise,5.891,52.0,306.198,107705.0,117719.0,114381.0,22,0,9,0,0,0,0,0,0,0,1,0,0,1,2,0,1,1,1,0,0,58.0,72.0,78.0,73.0,72.0 +1.0,4,3,15.0,52,5116124.0,52.0,3.0,94897.0,223.48,vettel,5.0,German,red_bull,Austrian,2012,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,1.0,216.0,1.0,3.0,106279.0,116931.0,112199.0,37,25,DryAir Temp 20 °C (68 °F)[2]Track Temp 31 °C (88 °F)[2],0,0,1,0,0,Race circuit,Clockwise,5.891,52.0,306.198,106279.0,116931.0,111803.0,20,5,90,2,1,0,2,1,1,0,0,0,0,1,0,0,0,0,0,0,0,91.0,83.0,77.0,75.0,75.0 +2.0,2,1,25.0,52,5111288.0,49.0,4.0,94934.0,223.393,webber,91.0,Australian,red_bull,Austrian,2012,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,1.0,216.0,1.0,3.0,107276.0,115898.0,111793.0,48,36,DryAir Temp 20 °C (68 °F)[2]Track Temp 31 °C (88 °F)[2],0,0,1,0,0,Race circuit,Clockwise,5.891,52.0,306.198,107276.0,115898.0,111655.66666666669,30,6,117,1,0,0,5,0,0,1,0,0,0,1,0,0,0,0,0,0,0,115.0,80.0,78.0,82.0,78.0 +5.0,1,1,25.0,67,5465862.0,66.0,2.0,79044.0,208.319,alonso,14.0,Spanish,ferrari,Italian,2012,10,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,2.0,177.0,2.0,2.0,76073.0,98521.0,100621.0,43,31,Fine and Dry[2] Air Temp 22 °C (72 °F)[2] Track Temp 30 °C (86 °F)[2],1,0,1,0,0,Race circuit,Clockwise,4.574,64.0,292.736,76073.0,100621.0,91738.33333333331,25,6,118,5,2,1,0,2,0,1,0,1,0,0,0,0,0,0,0,0,0,115.0,80.0,78.0,82.0,78.0 +19.0,14,17,0.0,66,,62.0,15.0,79894.0,206.103,bruno_senna,85.0,Brazilian,williams,British,2012,10,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,+1 Lap,0.0,47.0,7.0,1.0,76426.0,100752.0,100752.0,41,29,Fine and Dry[2] Air Temp 22 °C (72 °F)[2] Track Temp 30 °C (86 °F)[2],1,0,1,0,0,Race circuit,Clockwise,4.574,64.0,292.736,76426.0,100752.0,92643.33333333331,27,2,36,0,0,0,0,0,1,1,0,1,2,0,0,0,0,0,1,1,0,58.0,72.0,78.0,73.0,72.0 +3.0,6,2,18.0,67,5472811.0,67.0,8.0,79469.0,207.205,button,22.0,British,mclaren,British,2012,10,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,1.0,160.0,3.0,2.0,76507.0,98659.0,104113.0,44,32,Fine and Dry[2] Air Temp 22 °C (72 °F)[2] Track Temp 30 °C (86 °F)[2],1,0,1,0,0,Race circuit,Clockwise,4.574,64.0,292.736,76507.0,104113.0,93093.0,26,6,118,2,1,0,0,0,0,0,1,1,1,0,0,0,1,0,2,0,1,115.0,80.0,78.0,82.0,78.0 +10.0,19,18,0.0,66,,60.0,17.0,80013.0,205.796,grosjean,8.0,French,lotus_f1,British,2012,10,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,+1 Lap,0.0,159.0,4.0,0.0,76685.0,100574.0,100574.0,38,26,Fine and Dry[2] Air Temp 22 °C (72 °F)[2] Track Temp 30 °C (86 °F)[2],1,0,1,0,0,Race circuit,Clockwise,4.574,64.0,292.736,76685.0,100574.0,92611.0,23,3,17,2,1,1,1,0,2,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +12.0,4,9,2.0,67,5514024.0,56.0,7.0,79372.0,207.458,hulkenberg,27.0,German,force_india,Indian,2012,10,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,0.0,46.0,8.0,0.0,76271.0,99467.0,103501.0,37,25,Fine and Dry[2] Air Temp 22 °C (72 °F)[2] Track Temp 30 °C (86 °F)[2],1,0,1,0,0,Race circuit,Clockwise,4.574,64.0,292.736,76271.0,103501.0,93079.66666666669,23,2,29,0,0,0,0,1,0,0,1,1,1,0,3,0,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +14.0,12,4,12.0,67,5487787.0,56.0,9.0,79485.0,207.163,kobayashi,10.0,Japanese,sauber,Swiss,2012,10,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,0.0,80.0,6.0,0.0,76481.0,99985.0,99985.0,38,26,Fine and Dry[2] Air Temp 22 °C (72 °F)[2] Track Temp 30 °C (86 °F)[2],1,0,1,0,0,Race circuit,Clockwise,4.574,64.0,292.736,76481.0,99985.0,92150.33333333331,23,3,50,0,0,0,0,1,1,0,0,1,1,1,0,1,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +20.0,16,19,0.0,65,,61.0,20.0,80596.0,204.307,kovalainen,52.0,Finnish,caterham,Malaysian,2012,10,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,+2 Laps,0.0,0.0,10.0,0.0,77620.0,77620.0,77620.0,43,31,Fine and Dry[2] Air Temp 22 °C (72 °F)[2] Track Temp 30 °C (86 °F)[2],1,0,1,0,0,Race circuit,Clockwise,4.574,64.0,292.736,77620.0,77620.0,77620.0,26,5,100,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,1,2,3,100.0,83.0,81.0,81.0,78.0 +18.0,5,15,0.0,66,,59.0,10.0,79607.0,206.846,maldonado,13.0,Venezuelan,williams,British,2012,10,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,+1 Lap,1.0,47.0,7.0,1.0,76181.0,98731.0,103950.0,39,27,Fine and Dry[2] Air Temp 22 °C (72 °F)[2] Track Temp 30 °C (86 °F)[2],1,0,1,0,0,Race circuit,Clockwise,4.574,64.0,292.736,76181.0,103950.0,92954.0,26,1,29,1,0,0,0,0,0,0,1,0,0,0,1,2,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +6.0,13,12,0.0,67,5537290.0,67.0,5.0,79225.0,207.843,massa,19.0,Brazilian,ferrari,Italian,2012,10,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,0.0,177.0,2.0,3.0,76265.0,100212.0,100212.0,43,31,Fine and Dry[2] Air Temp 22 °C (72 °F)[2] Track Temp 30 °C (86 °F)[2],1,0,1,0,0,Race circuit,Clockwise,4.574,64.0,292.736,76265.0,100212.0,92229.66666666669,25,6,111,0,0,0,1,0,1,0,0,1,1,0,0,1,0,2,1,1,0,112.0,80.0,79.0,81.0,78.0 +7.0,3,7,6.0,67,5494832.0,57.0,1.0,78725.0,209.163,michael_schumacher,60.0,German,mercedes,German,2012,10,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,0.0,105.0,5.0,1.0,76686.0,98010.0,102459.0,55,43,Fine and Dry[2] Air Temp 22 °C (72 °F)[2] Track Temp 30 °C (86 °F)[2],1,0,1,0,0,Race circuit,Clockwise,4.574,64.0,292.736,76686.0,102459.0,92385.0,37,6,66,1,0,1,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +15.0,17,6,8.0,67,5493758.0,62.0,6.0,79270.0,207.725,perez,11.0,Mexican,sauber,Swiss,2012,10,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,0.0,80.0,6.0,0.0,75726.0,99933.0,99933.0,34,22,Fine and Dry[2] Air Temp 22 °C (72 °F)[2] Track Temp 30 °C (86 °F)[2],1,0,1,0,0,Race circuit,Clockwise,4.574,64.0,292.736,75726.0,99933.0,91864.0,21,1,28,2,1,1,0,0,0,0,1,1,0,3,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +21.0,18,16,0.0,66,,62.0,16.0,79997.0,205.837,petrov,83.0,Russian,caterham,Malaysian,2012,10,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,+1 Lap,0.0,0.0,10.0,0.0,78531.0,78531.0,78531.0,40,28,Fine and Dry[2] Air Temp 22 °C (72 °F)[2] Track Temp 30 °C (86 °F)[2],1,0,1,0,0,Race circuit,Clockwise,4.574,64.0,292.736,78531.0,78531.0,78531.0,26,2,48,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,1,1,72.0,76.0,76.0,76.0,74.0 +25.0,20,20,0.0,65,,45.0,21.0,81753.0,201.416,pic,40.0,French,marussia,Russian,2012,10,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,+2 Laps,0.0,0.0,11.0,0.0,79220.0,79220.0,79220.0,34,22,Fine and Dry[2] Air Temp 22 °C (72 °F)[2] Track Temp 30 °C (86 °F)[2],1,0,1,0,0,Race circuit,Clockwise,4.574,64.0,292.736,79220.0,79220.0,79220.0,22,0,10,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,1,58.0,72.0,78.0,73.0,72.0 +9.0,10,3,15.0,67,5482271.0,62.0,13.0,79719.0,206.555,raikkonen,7.0,Finnish,lotus_f1,British,2012,10,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,0.0,159.0,4.0,0.0,75693.0,99729.0,105811.0,45,33,Fine and Dry[2] Air Temp 22 °C (72 °F)[2] Track Temp 30 °C (86 °F)[2],1,0,1,0,0,Race circuit,Clockwise,4.574,64.0,292.736,75693.0,105811.0,93744.33333333331,27,6,80,3,2,1,0,2,0,1,1,1,0,0,0,0,1,0,0,0,0,77.0,76.0,76.0,70.0,71.0 +11.0,9,11,0.0,67,5525089.0,67.0,12.0,79717.0,206.56,resta,95.0,British,force_india,Indian,2012,10,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,0.0,46.0,8.0,0.0,76352.0,99703.0,104889.0,38,26,Fine and Dry[2] Air Temp 22 °C (72 °F)[2] Track Temp 30 °C (86 °F)[2],1,0,1,0,0,Race circuit,Clockwise,4.574,64.0,292.736,76352.0,104889.0,93648.0,25,1,29,0,0,0,0,0,1,3,0,0,1,1,1,0,1,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +16.0,11,13,0.0,67,5542691.0,44.0,18.0,80066.0,205.66,ricciardo,3.0,Australian,toro_rosso,Italian,2012,10,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,0.0,6.0,9.0,0.0,76516.0,99789.0,99789.0,35,23,Fine and Dry[2] Air Temp 22 °C (72 °F)[2] Track Temp 30 °C (86 °F)[2],1,0,1,0,0,Race circuit,Clockwise,4.574,64.0,292.736,76516.0,99789.0,92031.33333333331,22,1,21,0,0,0,0,0,0,0,0,1,0,1,1,2,1,1,0,2,0,58.0,72.0,78.0,73.0,72.0 +8.0,21,10,1.0,67,5514751.0,59.0,3.0,79105.0,208.158,rosberg,6.0,German,mercedes,German,2012,10,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,1.0,105.0,5.0,1.0,75988.0,101551.0,101551.0,39,27,Fine and Dry[2] Air Temp 22 °C (72 °F)[2] Track Temp 30 °C (86 °F)[2],1,0,1,0,0,Race circuit,Clockwise,4.574,64.0,292.736,75988.0,101551.0,93030.0,21,6,118,2,1,0,0,1,2,1,0,0,0,0,1,1,0,1,0,0,0,115.0,80.0,78.0,82.0,78.0 +17.0,15,14,0.0,67,5542827.0,59.0,11.0,79645.0,206.747,vergne,25.0,French,toro_rosso,Italian,2012,10,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,0.0,6.0,9.0,0.0,76741.0,76741.0,76741.0,34,22,Fine and Dry[2] Air Temp 22 °C (72 °F)[2] Track Temp 30 °C (86 °F)[2],1,0,1,0,0,Race circuit,Clockwise,4.574,64.0,292.736,76741.0,76741.0,76741.0,22,0,10,0,0,0,0,0,0,0,1,0,0,1,2,0,2,1,1,0,0,58.0,72.0,78.0,73.0,72.0 +1.0,2,5,10.0,67,5489594.0,61.0,4.0,79161.0,208.011,vettel,5.0,German,red_bull,Austrian,2012,10,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,1.0,230.0,1.0,3.0,76393.0,98309.0,101026.0,37,25,Fine and Dry[2] Air Temp 22 °C (72 °F)[2] Track Temp 30 °C (86 °F)[2],1,0,1,0,0,Race circuit,Clockwise,4.574,64.0,292.736,76393.0,101026.0,91909.33333333331,20,5,91,3,1,1,2,1,1,0,0,0,0,1,0,0,0,0,0,0,0,96.0,84.0,79.0,78.0,77.0 +2.0,8,8,4.0,67,5512803.0,59.0,14.0,79794.0,206.361,webber,91.0,Australian,red_bull,Austrian,2012,10,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,2.0,230.0,1.0,3.0,76500.0,99382.0,101496.0,48,36,Fine and Dry[2] Air Temp 22 °C (72 °F)[2] Track Temp 30 °C (86 °F)[2],1,0,1,0,0,Race circuit,Clockwise,4.574,64.0,292.736,76500.0,101496.0,92459.33333333331,30,6,118,2,0,0,5,0,0,1,0,0,0,1,0,0,0,0,0,0,0,115.0,80.0,78.0,82.0,78.0 +5.0,6,5,10.0,69,6092156.0,65.0,7.0,85738.0,183.951,alonso,14.0,Spanish,ferrari,Italian,2012,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,3.0,189.0,4.0,3.0,82095.0,81598.0,81844.0,43,31,Fine and Dry. Very Hot[2][3] Air Temp 30 °C (86 °F)[3] Track Temp 45 °C (113 °F)[3],1,0,1,0,0,Race circuit,Clockwise,4.381,70.0,306.63,81598.0,82095.0,81845.66666666667,25,6,119,6,2,1,0,2,0,1,0,1,0,0,0,0,0,0,0,0,0,115.0,80.0,78.0,82.0,78.0 +19.0,9,7,6.0,69,6099402.0,65.0,16.0,86248.0,182.863,bruno_senna,85.0,Brazilian,williams,British,2012,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,53.0,7.0,1.0,82271.0,81697.0,82343.0,41,29,Fine and Dry. Very Hot[2][3] Air Temp 30 °C (86 °F)[3] Track Temp 45 °C (113 °F)[3],1,0,1,0,0,Race circuit,Clockwise,4.381,70.0,306.63,81697.0,82343.0,82103.66666666667,27,2,37,0,0,0,0,0,1,1,0,1,2,0,0,0,0,0,1,2,0,72.0,76.0,76.0,76.0,74.0 +3.0,4,6,8.0,69,6095746.0,58.0,10.0,85831.0,183.751,button,22.0,British,mclaren,British,2012,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,1.0,193.0,2.0,3.0,82028.0,81618.0,81583.0,44,32,Fine and Dry. Very Hot[2][3] Air Temp 30 °C (86 °F)[3] Track Temp 45 °C (113 °F)[3],1,0,1,0,0,Race circuit,Clockwise,4.381,70.0,306.63,81583.0,82028.0,81743.0,26,6,119,3,2,0,0,0,0,0,1,1,1,0,0,0,1,0,2,0,1,115.0,80.0,78.0,82.0,78.0 +10.0,2,3,15.0,69,6076021.0,59.0,13.0,86050.0,183.284,grosjean,8.0,French,lotus_f1,British,2012,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,192.0,3.0,0.0,82755.0,81657.0,81366.0,38,26,Fine and Dry. Very Hot[2][3] Air Temp 30 °C (86 °F)[3] Track Temp 45 °C (113 °F)[3],1,0,1,0,0,Race circuit,Clockwise,4.381,70.0,306.63,81366.0,82755.0,81926.0,23,3,18,2,1,1,1,0,2,0,0,0,0,0,0,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +4.0,1,1,25.0,69,6065503.0,65.0,4.0,85677.0,184.082,hamilton,44.0,British,mclaren,British,2012,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,1.0,193.0,2.0,3.0,81794.0,81060.0,80953.0,39,27,Fine and Dry. Very Hot[2][3] Air Temp 30 °C (86 °F)[3] Track Temp 45 °C (113 °F)[3],1,0,1,0,0,Race circuit,Clockwise,4.381,70.0,306.63,80953.0,81794.0,81269.0,22,5,101,4,0,3,0,1,0,0,3,0,0,0,0,0,0,0,0,0,0,100.0,83.0,81.0,81.0,78.0 +12.0,10,11,0.0,69,6122786.0,60.0,15.0,86073.0,183.235,hulkenberg,27.0,German,force_india,Indian,2012,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,46.0,8.0,0.0,82176.0,81653.0,82847.0,37,25,Fine and Dry. Very Hot[2][3] Air Temp 30 °C (86 °F)[3] Track Temp 45 °C (113 °F)[3],1,0,1,0,0,Race circuit,Clockwise,4.381,70.0,306.63,81653.0,82847.0,82225.33333333333,23,2,30,0,0,0,0,1,0,0,1,2,1,0,3,0,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +14.0,15,18,0.0,67,,61.0,8.0,85745.0,183.936,kobayashi,10.0,Japanese,sauber,Swiss,2012,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+2 Laps,0.0,80.0,6.0,0.0,82801.0,82300.0,82300.0,38,26,Fine and Dry. Very Hot[2][3] Air Temp 30 °C (86 °F)[3] Track Temp 45 °C (113 °F)[3],1,0,1,0,0,Race circuit,Clockwise,4.381,70.0,306.63,82300.0,82801.0,82467.0,23,3,51,0,0,0,1,1,1,0,0,1,1,1,0,1,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +20.0,19,17,0.0,68,,62.0,18.0,86595.0,182.13,kovalainen,52.0,Finnish,caterham,Malaysian,2012,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,0.0,10.0,0.0,83576.0,83576.0,83576.0,43,31,Fine and Dry. Very Hot[2][3] Air Temp 30 °C (86 °F)[3] Track Temp 45 °C (113 °F)[3],1,0,1,0,0,Race circuit,Clockwise,4.381,70.0,306.63,83576.0,83576.0,83576.0,26,5,101,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,1,2,3,100.0,83.0,81.0,81.0,78.0 +18.0,8,13,0.0,69,6129109.0,63.0,5.0,85723.0,183.983,maldonado,13.0,Venezuelan,williams,British,2012,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,1.0,53.0,7.0,1.0,82475.0,81504.0,81939.0,39,27,Fine and Dry. Very Hot[2][3] Air Temp 30 °C (86 °F)[3] Track Temp 45 °C (113 °F)[3],1,0,1,0,0,Race circuit,Clockwise,4.381,70.0,306.63,81504.0,82475.0,81972.66666666667,26,1,30,1,0,0,0,0,0,0,1,0,0,0,1,2,0,1,1,0,0,58.0,72.0,78.0,73.0,72.0 +6.0,7,9,2.0,69,6103853.0,54.0,11.0,85920.0,183.561,massa,19.0,Brazilian,ferrari,Italian,2012,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,189.0,4.0,3.0,82203.0,81534.0,81900.0,43,31,Fine and Dry. Very Hot[2][3] Air Temp 30 °C (86 °F)[3] Track Temp 45 °C (113 °F)[3],1,0,1,0,0,Race circuit,Clockwise,4.381,70.0,306.63,81534.0,82203.0,81879.0,25,6,112,0,0,0,1,0,1,0,0,1,1,0,1,1,0,2,1,1,0,112.0,80.0,79.0,81.0,78.0 +15.0,14,14,0.0,69,6129997.0,65.0,2.0,85218.0,185.073,perez,11.0,Mexican,sauber,Swiss,2012,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,80.0,6.0,0.0,82110.0,81895.0,81895.0,34,22,Fine and Dry. Very Hot[2][3] Air Temp 30 °C (86 °F)[3] Track Temp 45 °C (113 °F)[3],1,0,1,0,0,Race circuit,Clockwise,4.381,70.0,306.63,81895.0,82110.0,81966.66666666667,21,1,29,2,1,1,0,0,1,0,1,1,0,3,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +21.0,20,19,0.0,67,,59.0,20.0,87629.0,179.981,petrov,83.0,Russian,caterham,Malaysian,2012,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+2 Laps,0.0,0.0,10.0,0.0,84167.0,84167.0,84167.0,40,28,Fine and Dry. Very Hot[2][3] Air Temp 30 °C (86 °F)[3] Track Temp 45 °C (113 °F)[3],1,0,1,0,0,Race circuit,Clockwise,4.381,70.0,306.63,84167.0,84167.0,84167.0,26,2,49,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,3,1,1,72.0,76.0,76.0,76.0,74.0 +25.0,21,20,0.0,67,,22.0,22.0,88727.0,177.754,pic,40.0,French,marussia,Russian,2012,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+2 Laps,0.0,0.0,11.0,0.0,85244.0,85244.0,85244.0,34,22,Fine and Dry. Very Hot[2][3] Air Temp 30 °C (86 °F)[3] Track Temp 45 °C (113 °F)[3],1,0,1,0,0,Race circuit,Clockwise,4.381,70.0,306.63,85244.0,85244.0,85244.0,22,0,11,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,1,58.0,72.0,78.0,73.0,72.0 +9.0,5,2,18.0,69,6066535.0,41.0,6.0,85728.0,183.972,raikkonen,7.0,Finnish,lotus_f1,British,2012,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,192.0,3.0,0.0,82234.0,81583.0,81730.0,45,33,Fine and Dry. Very Hot[2][3] Air Temp 30 °C (86 °F)[3] Track Temp 45 °C (113 °F)[3],1,0,1,0,0,Race circuit,Clockwise,4.381,70.0,306.63,81583.0,82234.0,81849.0,27,6,81,4,2,2,0,2,0,1,1,1,0,0,0,0,1,0,0,0,0,77.0,76.0,76.0,70.0,71.0 +11.0,12,12,0.0,69,6128390.0,57.0,12.0,85976.0,183.441,resta,95.0,British,force_india,Indian,2012,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,46.0,8.0,0.0,81912.0,81813.0,81813.0,38,26,Fine and Dry. Very Hot[2][3] Air Temp 30 °C (86 °F)[3] Track Temp 45 °C (113 °F)[3],1,0,1,0,0,Race circuit,Clockwise,4.381,70.0,306.63,81813.0,81912.0,81846.0,25,1,30,0,0,0,0,0,1,3,0,0,1,2,1,0,1,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +16.0,18,15,0.0,68,,59.0,17.0,86508.0,182.313,ricciardo,3.0,Australian,toro_rosso,Italian,2012,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,6.0,9.0,0.0,83250.0,83250.0,83250.0,35,23,Fine and Dry. Very Hot[2][3] Air Temp 30 °C (86 °F)[3] Track Temp 45 °C (113 °F)[3],1,0,1,0,0,Race circuit,Clockwise,4.381,70.0,306.63,83250.0,83250.0,83250.0,22,1,22,0,0,0,0,0,0,0,0,1,0,1,1,3,1,1,0,2,0,58.0,72.0,78.0,73.0,72.0 +8.0,13,10,1.0,69,6116737.0,58.0,9.0,85830.0,183.753,rosberg,6.0,German,mercedes,German,2012,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,1.0,106.0,5.0,1.0,82079.0,81895.0,81895.0,39,27,Fine and Dry. Very Hot[2][3] Air Temp 30 °C (86 °F)[3] Track Temp 45 °C (113 °F)[3],1,0,1,0,0,Race circuit,Clockwise,4.381,70.0,306.63,81895.0,82079.0,81956.33333333333,21,6,119,2,1,0,0,1,2,1,0,0,1,0,1,1,0,1,0,0,0,115.0,80.0,78.0,82.0,78.0 +17.0,16,16,0.0,68,,66.0,14.0,86061.0,183.26,vergne,25.0,French,toro_rosso,Italian,2012,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,6.0,9.0,0.0,82799.0,82380.0,82380.0,34,22,Fine and Dry. Very Hot[2][3] Air Temp 30 °C (86 °F)[3] Track Temp 45 °C (113 °F)[3],1,0,1,0,0,Race circuit,Clockwise,4.381,70.0,306.63,82380.0,82799.0,82519.66666666667,22,0,11,0,0,0,0,0,0,0,1,0,0,1,2,0,3,1,1,0,0,58.0,72.0,78.0,73.0,72.0 +1.0,3,4,12.0,69,6077117.0,68.0,1.0,84136.0,187.453,vettel,5.0,German,red_bull,Austrian,2012,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,1.0,246.0,1.0,3.0,82948.0,81407.0,81416.0,37,25,Fine and Dry. Very Hot[2][3] Air Temp 30 °C (86 °F)[3] Track Temp 45 °C (113 °F)[3],1,0,1,0,0,Race circuit,Clockwise,4.381,70.0,306.63,81407.0,82948.0,81923.66666666667,20,5,92,3,1,1,2,2,1,0,0,0,0,1,0,0,0,0,0,0,0,96.0,84.0,79.0,78.0,77.0 +2.0,11,8,4.0,69,6099961.0,41.0,3.0,85402.0,184.674,webber,91.0,Australian,red_bull,Austrian,2012,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,2.0,246.0,1.0,3.0,82829.0,81715.0,81715.0,48,36,Fine and Dry. Very Hot[2][3] Air Temp 30 °C (86 °F)[3] Track Temp 45 °C (113 °F)[3],1,0,1,0,0,Race circuit,Clockwise,4.381,70.0,306.63,81715.0,82829.0,82086.33333333333,30,6,119,2,0,0,5,0,0,1,1,0,0,1,0,0,0,0,0,0,0,115.0,80.0,78.0,82.0,78.0 +19.0,17,12,0.0,44,5420059.0,43.0,1.0,112822.0,223.488,bruno_senna,85.0,Brazilian,williams,British,2012,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,53.0,8.0,1.0,109958.0,110088.0,110088.0,41,29,Fine and Dry[4] Air Temp 23 °C (73 °F)[4] Track Temp 33 °C (91 °F)[4],1,0,1,0,0,Race circuit,Clockwise,7.004,44.0,308.052,109958.0,110088.0,110044.66666666669,27,2,38,0,0,0,0,0,1,2,0,1,2,0,0,0,0,0,1,2,0,72.0,76.0,76.0,76.0,74.0 +3.0,1,1,25.0,44,5348530.0,40.0,10.0,114293.0,220.611,button,22.0,British,mclaren,British,2012,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,1.0,218.0,2.0,4.0,109250.0,107654.0,107573.0,44,32,Fine and Dry[4] Air Temp 23 °C (73 °F)[4] Track Temp 33 °C (91 °F)[4],1,0,1,0,0,Race circuit,Clockwise,7.004,44.0,308.052,107573.0,109250.0,108159.0,26,6,120,3,2,0,0,0,1,0,1,1,1,0,0,0,1,0,2,0,1,115.0,80.0,78.0,82.0,78.0 +24.0,20,15,0.0,43,,30.0,16.0,116956.0,215.588,glock,65.0,German,marussia,Russian,2012,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,+1 Lap,0.0,0.0,11.0,0.0,112336.0,112336.0,112336.0,42,30,Fine and Dry[4] Air Temp 23 °C (73 °F)[4] Track Temp 33 °C (91 °F)[4],1,0,1,0,0,Race circuit,Clockwise,7.004,44.0,308.052,112336.0,112336.0,112336.0,26,4,83,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,1,2,77.0,76.0,76.0,70.0,71.0 +12.0,11,4,12.0,44,5376373.0,40.0,6.0,113760.0,221.645,hulkenberg,27.0,German,force_india,Indian,2012,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,59.0,7.0,0.0,109362.0,108855.0,108855.0,37,25,Fine and Dry[4] Air Temp 23 °C (73 °F)[4] Track Temp 33 °C (91 °F)[4],1,0,1,0,0,Race circuit,Clockwise,7.004,44.0,308.052,108855.0,109362.0,109024.0,23,2,31,0,0,0,0,1,0,0,1,2,1,1,3,0,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +14.0,2,13,0.0,44,5464649.0,26.0,13.0,115598.0,218.121,kobayashi,10.0,Japanese,sauber,Swiss,2012,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,80.0,6.0,0.0,109686.0,108569.0,107871.0,38,26,Fine and Dry[4] Air Temp 23 °C (73 °F)[4] Track Temp 33 °C (91 °F)[4],1,0,1,0,0,Race circuit,Clockwise,7.004,44.0,308.052,107871.0,109686.0,108708.66666666669,23,3,52,0,0,0,1,1,1,0,0,1,1,1,0,1,0,0,0,0,1,72.0,76.0,76.0,76.0,74.0 +20.0,18,17,0.0,43,,33.0,14.0,116475.0,216.479,kovalainen,52.0,Finnish,caterham,Malaysian,2012,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,+1 Lap,0.0,0.0,10.0,0.0,111739.0,111739.0,111739.0,43,31,Fine and Dry[4] Air Temp 23 °C (73 °F)[4] Track Temp 33 °C (91 °F)[4],1,0,1,0,0,Race circuit,Clockwise,7.004,44.0,308.052,111739.0,111739.0,111739.0,26,5,102,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,1,3,3,102.0,87.0,81.0,81.0,79.0 +6.0,14,5,10.0,44,5378375.0,30.0,3.0,113464.0,222.223,massa,19.0,Brazilian,ferrari,Italian,2012,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,199.0,4.0,3.0,109588.0,109147.0,109147.0,43,31,Fine and Dry[4] Air Temp 23 °C (73 °F)[4] Track Temp 33 °C (91 °F)[4],1,0,1,0,0,Race circuit,Clockwise,7.004,44.0,308.052,109147.0,109588.0,109294.0,25,6,113,0,0,0,1,0,1,0,0,2,1,0,1,1,0,2,1,1,0,112.0,80.0,79.0,81.0,78.0 +7.0,13,7,6.0,44,5401904.0,37.0,4.0,113507.0,222.139,michael_schumacher,60.0,German,mercedes,German,2012,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,112.0,5.0,1.0,109742.0,109081.0,109081.0,55,43,Fine and Dry[4] Air Temp 23 °C (73 °F)[4] Track Temp 33 °C (91 °F)[4],1,0,1,0,0,Race circuit,Clockwise,7.004,44.0,308.052,109081.0,109742.0,109301.33333333331,37,6,68,1,0,1,0,0,0,2,0,0,2,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +21.0,19,14,0.0,43,,28.0,15.0,116741.0,215.985,petrov,83.0,Russian,caterham,Malaysian,2012,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,+1 Lap,0.0,0.0,10.0,0.0,111967.0,111967.0,111967.0,40,28,Fine and Dry[4] Air Temp 23 °C (73 °F)[4] Track Temp 33 °C (91 °F)[4],1,0,1,0,0,Race circuit,Clockwise,7.004,44.0,308.052,111967.0,111967.0,111967.0,26,2,50,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,3,1,1,72.0,76.0,76.0,76.0,74.0 +25.0,22,16,0.0,43,,27.0,18.0,117939.0,213.791,pic,40.0,French,marussia,Russian,2012,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,+1 Lap,0.0,0.0,11.0,0.0,113493.0,113493.0,113493.0,34,22,Fine and Dry[4] Air Temp 23 °C (73 °F)[4] Track Temp 33 °C (91 °F)[4],1,0,1,0,0,Race circuit,Clockwise,7.004,44.0,308.052,113493.0,113493.0,113493.0,22,0,12,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,1,58.0,72.0,78.0,73.0,72.0 +9.0,3,3,15.0,44,5373864.0,34.0,5.0,113640.0,221.879,raikkonen,7.0,Finnish,lotus_f1,British,2012,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,207.0,3.0,0.0,109546.0,108414.0,108205.0,45,33,Fine and Dry[4] Air Temp 23 °C (73 °F)[4] Track Temp 33 °C (91 °F)[4],1,0,1,0,0,Race circuit,Clockwise,7.004,44.0,308.052,108205.0,109546.0,108721.66666666669,27,6,82,5,3,2,0,2,0,1,1,1,0,0,0,0,1,0,0,0,0,77.0,76.0,76.0,70.0,71.0 +11.0,9,10,1.0,44,5412313.0,28.0,11.0,114562.0,220.093,resta,95.0,British,force_india,Indian,2012,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,59.0,7.0,0.0,110033.0,108729.0,108890.0,38,26,Fine and Dry[4] Air Temp 23 °C (73 °F)[4] Track Temp 33 °C (91 °F)[4],1,0,1,0,0,Race circuit,Clockwise,7.004,44.0,308.052,108729.0,110033.0,109217.33333333331,25,1,31,0,0,0,0,0,1,3,0,0,1,2,2,0,1,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +16.0,16,9,2.0,44,5411512.0,42.0,12.0,114605.0,220.011,ricciardo,3.0,Australian,toro_rosso,Italian,2012,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,12.0,9.0,0.0,109572.0,109543.0,109543.0,35,23,Fine and Dry[4] Air Temp 23 °C (73 °F)[4] Track Temp 33 °C (91 °F)[4],1,0,1,0,0,Race circuit,Clockwise,7.004,44.0,308.052,109543.0,109572.0,109552.66666666669,22,1,23,0,0,0,0,0,0,0,0,1,0,1,1,3,1,2,0,2,0,58.0,72.0,78.0,73.0,72.0 +22.0,21,18,0.0,43,,30.0,17.0,117315.0,214.929,rosa,82.0,Spanish,hrt,Spanish,2012,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,+1 Lap,0.0,0.0,12.0,0.0,113030.0,113030.0,113030.0,53,41,Fine and Dry[4] Air Temp 23 °C (73 °F)[4] Track Temp 33 °C (91 °F)[4],1,0,1,0,0,Race circuit,Clockwise,7.004,44.0,308.052,113030.0,113030.0,113030.0,35,6,35,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +8.0,23,11,0.0,44,5413641.0,39.0,2.0,113073.0,222.992,rosberg,6.0,German,mercedes,German,2012,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,1.0,112.0,5.0,1.0,110181.0,110181.0,110181.0,39,27,Fine and Dry[4] Air Temp 23 °C (73 °F)[4] Track Temp 33 °C (91 °F)[4],1,0,1,0,0,Race circuit,Clockwise,7.004,44.0,308.052,110181.0,110181.0,110181.0,21,6,120,2,1,0,0,1,2,1,0,0,2,0,1,1,0,1,0,0,0,115.0,80.0,78.0,82.0,78.0 +17.0,15,8,4.0,44,5407395.0,31.0,8.0,113995.0,221.188,vergne,25.0,French,toro_rosso,Italian,2012,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,12.0,9.0,0.0,109763.0,109354.0,109354.0,34,22,Fine and Dry[4] Air Temp 23 °C (73 °F)[4] Track Temp 33 °C (91 °F)[4],1,0,1,0,0,Race circuit,Clockwise,7.004,44.0,308.052,109354.0,109763.0,109490.33333333331,22,0,12,0,0,0,0,0,0,0,1,0,0,1,2,0,3,1,2,0,0,58.0,72.0,78.0,73.0,72.0 +1.0,10,2,18.0,44,5362154.0,39.0,9.0,114198.0,220.795,vettel,5.0,German,red_bull,Austrian,2012,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,1.0,272.0,1.0,3.0,109722.0,108792.0,108792.0,37,25,Fine and Dry[4] Air Temp 23 °C (73 °F)[4] Track Temp 33 °C (91 °F)[4],1,0,1,0,0,Race circuit,Clockwise,7.004,44.0,308.052,108792.0,109722.0,109102.0,20,5,93,3,1,1,3,2,1,0,0,0,0,1,0,0,0,0,0,0,0,96.0,84.0,79.0,78.0,77.0 +2.0,12,6,8.0,44,5379774.0,42.0,7.0,113768.0,221.629,webber,91.0,Australian,red_bull,Austrian,2012,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,2.0,272.0,1.0,3.0,109859.0,108546.0,108392.0,48,36,Fine and Dry[4] Air Temp 23 °C (73 °F)[4] Track Temp 33 °C (91 °F)[4],1,0,1,0,0,Race circuit,Clockwise,7.004,44.0,308.052,108392.0,109859.0,108932.33333333331,30,6,120,2,0,0,5,0,0,1,2,0,0,1,0,0,0,0,0,0,0,115.0,80.0,78.0,82.0,78.0 +5.0,10,3,15.0,53,4801815.0,44.0,11.0,88835.0,234.758,alonso,14.0,Spanish,ferrari,Italian,2012,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,3.0,226.0,3.0,3.0,84175.0,84242.0,85678.0,43,31,Dry and sizzlingly sunny[2] Air temp 28 °C (82 °F)[2] Track temp 40 °C (104 °F)[2],1,0,1,0,0,Race circuit,Clockwise,5.793,51.0,295.134,84175.0,85678.0,84698.33333333333,25,6,121,6,2,1,0,3,0,1,0,1,0,0,0,0,0,0,0,0,0,123.0,88.0,82.0,85.0,83.0 +10.0,15,13,0.0,53,4857082.0,52.0,8.0,88677.0,235.177,ambrosio,70.0,Belgian,lotus_f1,British,2012,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,217.0,4.0,0.0,85834.0,85408.0,85408.0,39,27,Dry and sizzlingly sunny[2] Air temp 28 °C (82 °F)[2] Track temp 40 °C (104 °F)[2],1,0,1,0,0,Race circuit,Clockwise,5.793,51.0,295.134,85408.0,85834.0,85550.0,26,1,20,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +19.0,13,10,1.0,53,4829365.0,52.0,10.0,88742.0,235.004,bruno_senna,85.0,Brazilian,williams,British,2012,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,54.0,8.0,1.0,85135.0,85042.0,85042.0,41,29,Dry and sizzlingly sunny[2] Air temp 28 °C (82 °F)[2] Track temp 40 °C (104 °F)[2],1,0,1,0,0,Race circuit,Clockwise,5.793,51.0,295.134,85042.0,85135.0,85073.0,27,2,39,0,0,0,0,0,1,2,0,1,2,0,1,0,0,0,1,2,0,72.0,76.0,76.0,76.0,74.0 +24.0,19,17,0.0,52,,50.0,21.0,89888.0,232.008,glock,65.0,German,marussia,Russian,2012,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,0.0,11.0,0.0,87039.0,87039.0,87039.0,42,30,Dry and sizzlingly sunny[2] Air temp 28 °C (82 °F)[2] Track temp 40 °C (104 °F)[2],1,0,1,0,0,Race circuit,Clockwise,5.793,51.0,295.134,87039.0,87039.0,87039.0,26,4,84,0,0,0,0,0,0,0,0,0,0,0,0,0,2,1,0,1,2,77.0,76.0,76.0,70.0,71.0 +4.0,1,1,25.0,53,4781221.0,52.0,5.0,88427.0,235.841,hamilton,44.0,British,mclaren,British,2012,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,2.0,243.0,2.0,5.0,84211.0,84394.0,84010.0,39,27,Dry and sizzlingly sunny[2] Air temp 28 °C (82 °F)[2] Track temp 40 °C (104 °F)[2],1,0,1,0,0,Race circuit,Clockwise,5.793,51.0,295.134,84010.0,84394.0,84205.0,22,5,103,5,0,3,0,1,0,0,3,0,0,0,0,0,0,0,0,0,0,102.0,87.0,81.0,81.0,79.0 +23.0,21,19,0.0,52,,44.0,23.0,91086.0,228.957,karthikeyan,56.0,Indian,hrt,Spanish,2012,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,0.0,12.0,0.0,87441.0,87441.0,87441.0,47,35,Dry and sizzlingly sunny[2] Air temp 28 °C (82 °F)[2] Track temp 40 °C (104 °F)[2],1,0,1,0,0,Race circuit,Clockwise,5.793,51.0,295.134,87441.0,87441.0,87441.0,34,1,22,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,58.0,72.0,78.0,73.0,72.0 +14.0,8,9,2.0,53,4825119.0,39.0,14.0,89032.0,234.239,kobayashi,10.0,Japanese,sauber,Swiss,2012,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,100.0,6.0,0.0,85317.0,84683.0,85109.0,38,26,Dry and sizzlingly sunny[2] Air temp 28 °C (82 °F)[2] Track temp 40 °C (104 °F)[2],1,0,1,0,0,Race circuit,Clockwise,5.793,51.0,295.134,84683.0,85317.0,85036.33333333333,23,3,53,0,0,0,1,1,1,0,0,1,1,1,0,2,0,0,0,0,1,72.0,76.0,76.0,76.0,74.0 +20.0,17,14,0.0,52,,46.0,19.0,89399.0,233.277,kovalainen,52.0,Finnish,caterham,Malaysian,2012,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,0.0,10.0,0.0,86382.0,86382.0,86382.0,43,31,Dry and sizzlingly sunny[2] Air temp 28 °C (82 °F)[2] Track temp 40 °C (104 °F)[2],1,0,1,0,0,Race circuit,Clockwise,5.793,51.0,295.134,86382.0,86382.0,86382.0,26,5,103,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,1,4,3,102.0,87.0,81.0,81.0,79.0 +18.0,22,11,0.0,53,4829903.0,51.0,4.0,88053.0,236.843,maldonado,13.0,Venezuelan,williams,British,2012,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,1.0,54.0,8.0,1.0,85103.0,84820.0,84820.0,39,27,Dry and sizzlingly sunny[2] Air temp 28 °C (82 °F)[2] Track temp 40 °C (104 °F)[2],1,0,1,0,0,Race circuit,Clockwise,5.793,51.0,295.134,84820.0,85103.0,84914.33333333333,26,1,32,1,0,0,0,0,0,0,1,0,0,0,1,3,0,1,1,0,0,58.0,72.0,78.0,73.0,72.0 +6.0,3,4,12.0,53,4810888.0,33.0,12.0,88914.0,234.55,massa,19.0,Brazilian,ferrari,Italian,2012,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,226.0,3.0,3.0,84882.0,84505.0,84247.0,43,31,Dry and sizzlingly sunny[2] Air temp 28 °C (82 °F)[2] Track temp 40 °C (104 °F)[2],1,0,1,0,0,Race circuit,Clockwise,5.793,51.0,295.134,84247.0,84882.0,84544.66666666667,25,6,114,0,0,0,1,1,1,0,0,2,1,0,1,1,0,2,1,1,0,115.0,80.0,78.0,82.0,78.0 +7.0,4,6,8.0,53,4812480.0,51.0,3.0,87718.0,237.748,michael_schumacher,60.0,German,mercedes,German,2012,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,126.0,5.0,1.0,85302.0,84675.0,84540.0,55,43,Dry and sizzlingly sunny[2] Air temp 28 °C (82 °F)[2] Track temp 40 °C (104 °F)[2],1,0,1,0,0,Race circuit,Clockwise,5.793,51.0,295.134,84540.0,85302.0,84839.0,37,6,69,1,0,1,0,0,0,3,0,0,2,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +15.0,12,2,18.0,53,4785577.0,53.0,2.0,87562.0,238.171,perez,11.0,Mexican,sauber,Swiss,2012,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,100.0,6.0,0.0,85300.0,84901.0,84901.0,34,22,Dry and sizzlingly sunny[2] Air temp 28 °C (82 °F)[2] Track temp 40 °C (104 °F)[2],1,0,1,0,0,Race circuit,Clockwise,5.793,51.0,295.134,84901.0,85300.0,85034.0,21,1,31,2,1,1,0,0,1,0,1,1,0,3,0,0,1,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +21.0,18,15,0.0,52,,46.0,15.0,89066.0,234.149,petrov,83.0,Russian,caterham,Malaysian,2012,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,0.0,10.0,0.0,86887.0,86887.0,86887.0,40,28,Dry and sizzlingly sunny[2] Air temp 28 °C (82 °F)[2] Track temp 40 °C (104 °F)[2],1,0,1,0,0,Race circuit,Clockwise,5.793,51.0,295.134,86887.0,86887.0,86887.0,26,2,51,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,3,1,1,72.0,76.0,76.0,76.0,74.0 +25.0,20,16,0.0,52,,44.0,20.0,89753.0,232.357,pic,40.0,French,marussia,Russian,2012,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,0.0,11.0,0.0,87073.0,87073.0,87073.0,34,22,Dry and sizzlingly sunny[2] Air temp 28 °C (82 °F)[2] Track temp 40 °C (104 °F)[2],1,0,1,0,0,Race circuit,Clockwise,5.793,51.0,295.134,87073.0,87073.0,87073.0,22,0,13,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,1,0,1,58.0,72.0,78.0,73.0,72.0 +9.0,7,5,10.0,53,4812102.0,52.0,17.0,89109.0,234.036,raikkonen,7.0,Finnish,lotus_f1,British,2012,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,217.0,4.0,0.0,85151.0,84742.0,84855.0,45,33,Dry and sizzlingly sunny[2] Air temp 28 °C (82 °F)[2] Track temp 40 °C (104 °F)[2],1,0,1,0,0,Race circuit,Clockwise,5.793,51.0,295.134,84742.0,85151.0,84916.0,27,6,83,6,3,3,0,2,0,1,1,1,0,0,0,0,1,0,0,0,0,77.0,76.0,76.0,70.0,71.0 +11.0,9,8,4.0,53,4822278.0,51.0,16.0,89068.0,234.144,resta,95.0,British,force_india,Indian,2012,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,63.0,7.0,0.0,84875.0,84345.0,84304.0,38,26,Dry and sizzlingly sunny[2] Air temp 28 °C (82 °F)[2] Track temp 40 °C (104 °F)[2],1,0,1,0,0,Race circuit,Clockwise,5.793,51.0,295.134,84304.0,84875.0,84508.0,25,1,32,0,0,0,0,0,1,3,0,0,2,2,2,0,1,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +16.0,14,12,0.0,53,4831537.0,46.0,7.0,88621.0,235.325,ricciardo,3.0,Australian,toro_rosso,Italian,2012,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,12.0,9.0,0.0,85728.0,85312.0,85312.0,35,23,Dry and sizzlingly sunny[2] Air temp 28 °C (82 °F)[2] Track temp 40 °C (104 °F)[2],1,0,1,0,0,Race circuit,Clockwise,5.793,51.0,295.134,85312.0,85728.0,85450.66666666667,22,1,24,0,0,0,0,0,0,0,0,2,0,1,1,3,1,2,0,2,0,58.0,72.0,78.0,73.0,72.0 +22.0,23,18,0.0,52,,51.0,22.0,90398.0,230.699,rosa,82.0,Spanish,hrt,Spanish,2012,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,0.0,12.0,0.0,87629.0,87629.0,87629.0,53,41,Dry and sizzlingly sunny[2] Air temp 28 °C (82 °F)[2] Track temp 40 °C (104 °F)[2],1,0,1,0,0,Race circuit,Clockwise,5.793,51.0,295.134,87629.0,87629.0,87629.0,35,6,36,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,58.0,72.0,78.0,73.0,72.0 +8.0,6,7,6.0,53,4814771.0,53.0,1.0,87239.0,239.053,rosberg,6.0,German,mercedes,German,2012,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,1.0,126.0,5.0,1.0,84689.0,84515.0,84833.0,39,27,Dry and sizzlingly sunny[2] Air temp 28 °C (82 °F)[2] Track temp 40 °C (104 °F)[2],1,0,1,0,0,Race circuit,Clockwise,5.793,51.0,295.134,84515.0,84833.0,84679.0,21,6,121,2,1,0,0,1,2,1,0,0,2,1,1,1,0,1,0,0,0,123.0,88.0,82.0,85.0,83.0 +5.0,5,3,15.0,59,7241371.0,53.0,5.0,112709.0,162.034,alonso,14.0,Spanish,ferrari,Italian,2012,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,3.0,245.0,3.0,3.0,109391.0,107567.0,107216.0,43,31,Hot and humid[2]Air Temp 29 °C (84 °F)[2]Track Temp 31 °C (88 °F)[2],1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,107216.0,109391.0,108058.0,25,6,122,7,2,2,0,3,0,1,0,1,0,0,0,0,0,0,0,0,0,123.0,88.0,82.0,85.0,83.0 +3.0,4,2,18.0,59,7235103.0,47.0,4.0,112625.0,162.155,button,22.0,British,mclaren,British,2012,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,2.0,261.0,2.0,5.0,109381.0,107661.0,106939.0,44,32,Hot and humid[2]Air Temp 29 °C (84 °F)[2]Track Temp 31 °C (88 °F)[2],1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,106939.0,109381.0,107993.66666666669,26,6,122,4,2,0,0,0,1,0,1,1,1,0,0,0,1,0,2,0,1,123.0,88.0,82.0,85.0,83.0 +24.0,20,12,0.0,59,7318062.0,30.0,21.0,116057.0,157.36,glock,65.0,German,marussia,Russian,2012,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,0.0,10.0,0.0,111370.0,111370.0,111370.0,42,30,Hot and humid[2]Air Temp 29 °C (84 °F)[2]Track Temp 31 °C (88 °F)[2],1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,111370.0,111370.0,111370.0,26,4,85,0,0,0,0,0,0,0,0,0,0,0,0,0,2,1,0,2,2,77.0,76.0,76.0,70.0,71.0 +10.0,8,7,6.0,59,7262842.0,56.0,14.0,114123.0,160.027,grosjean,8.0,French,lotus_f1,British,2012,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,231.0,4.0,0.0,107688.0,107529.0,107788.0,38,26,Hot and humid[2]Air Temp 29 °C (84 °F)[2]Track Temp 31 °C (88 °F)[2],1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,107529.0,107788.0,107668.33333333331,23,3,20,3,1,2,1,0,2,0,0,0,0,0,0,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +12.0,11,14,0.0,59,7325557.0,52.0,1.0,111033.0,164.48,hulkenberg,27.0,German,force_india,Indian,2012,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,75.0,7.0,0.0,109547.0,107975.0,107975.0,37,25,Hot and humid[2]Air Temp 29 °C (84 °F)[2]Track Temp 31 °C (88 °F)[2],1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,107975.0,109547.0,108499.0,23,2,33,0,0,0,1,1,0,0,1,2,1,1,3,0,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +14.0,17,13,0.0,59,7323285.0,52.0,2.0,111690.0,163.513,kobayashi,10.0,Japanese,sauber,Swiss,2012,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,101.0,6.0,0.0,109933.0,109933.0,109933.0,38,26,Hot and humid[2]Air Temp 29 °C (84 °F)[2]Track Temp 31 °C (88 °F)[2],1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,109933.0,109933.0,109933.0,23,3,54,0,0,0,1,1,1,0,0,2,1,1,0,2,0,0,0,0,1,72.0,76.0,76.0,76.0,74.0 +20.0,19,15,0.0,59,7334111.0,48.0,18.0,115233.0,158.485,kovalainen,52.0,Finnish,caterham,Malaysian,2012,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,0.0,11.0,0.0,111137.0,111137.0,111137.0,43,31,Hot and humid[2]Air Temp 29 °C (84 °F)[2]Track Temp 31 °C (88 °F)[2],1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,111137.0,111137.0,111137.0,26,5,104,0,0,0,0,0,0,0,0,0,0,0,0,1,2,0,1,4,3,107.0,80.0,80.0,79.0,78.0 +6.0,13,8,4.0,59,7268973.0,47.0,13.0,113997.0,160.204,massa,19.0,Brazilian,ferrari,Italian,2012,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,245.0,3.0,3.0,109767.0,108344.0,108344.0,43,31,Hot and humid[2]Air Temp 29 °C (84 °F)[2]Track Temp 31 °C (88 °F)[2],1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,108344.0,109767.0,108818.33333333331,25,6,115,0,0,0,2,1,1,0,0,2,1,0,1,1,0,2,1,1,0,115.0,80.0,78.0,82.0,78.0 +15.0,14,10,1.0,59,7276763.0,51.0,6.0,112778.0,161.935,perez,11.0,Mexican,sauber,Swiss,2012,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,101.0,6.0,0.0,109055.0,108505.0,108505.0,34,22,Hot and humid[2]Air Temp 29 °C (84 °F)[2]Track Temp 31 °C (88 °F)[2],1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,108505.0,109055.0,108688.33333333331,21,1,32,3,2,1,0,0,1,0,1,1,0,3,0,0,1,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +21.0,18,19,0.0,57,,44.0,17.0,115140.0,158.613,petrov,83.0,Russian,caterham,Malaysian,2012,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,+2 Laps,0.0,0.0,11.0,0.0,110846.0,110846.0,110846.0,40,28,Hot and humid[2]Air Temp 29 °C (84 °F)[2]Track Temp 31 °C (88 °F)[2],1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,110846.0,110846.0,110846.0,26,2,52,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,3,1,1,72.0,76.0,76.0,76.0,74.0 +25.0,21,16,0.0,59,7359069.0,37.0,22.0,116486.0,156.781,pic,40.0,French,marussia,Russian,2012,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,0.0,10.0,0.0,111762.0,111762.0,111762.0,34,22,Hot and humid[2]Air Temp 29 °C (84 °F)[2]Track Temp 31 °C (88 °F)[2],1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,111762.0,111762.0,111762.0,22,0,14,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,2,0,1,58.0,72.0,78.0,73.0,72.0 +9.0,12,6,8.0,59,7261903.0,53.0,11.0,113785.0,160.502,raikkonen,7.0,Finnish,lotus_f1,British,2012,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,231.0,4.0,0.0,108169.0,108261.0,108261.0,45,33,Hot and humid[2]Air Temp 29 °C (84 °F)[2]Track Temp 31 °C (88 °F)[2],1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,108169.0,108261.0,108230.33333333331,27,6,84,6,3,3,0,3,0,1,1,1,0,0,0,0,1,0,0,0,0,77.0,76.0,76.0,70.0,71.0 +11.0,6,4,12.0,59,7245207.0,54.0,7.0,112931.0,161.716,resta,95.0,British,force_india,Indian,2012,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,75.0,7.0,0.0,108028.0,107667.0,107241.0,38,26,Hot and humid[2]Air Temp 29 °C (84 °F)[2]Track Temp 31 °C (88 °F)[2],1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,107241.0,108028.0,107645.33333333331,25,1,33,0,0,0,0,0,1,3,1,0,2,2,2,0,1,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +16.0,15,9,2.0,59,7271964.0,53.0,15.0,114267.0,159.825,ricciardo,3.0,Australian,toro_rosso,Italian,2012,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,14.0,9.0,0.0,109023.0,108774.0,108774.0,35,23,Hot and humid[2]Air Temp 29 °C (84 °F)[2]Track Temp 31 °C (88 °F)[2],1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,108774.0,109023.0,108857.0,22,1,25,0,0,0,0,0,0,0,0,2,0,1,2,3,1,2,0,2,0,58.0,72.0,78.0,73.0,72.0 +22.0,24,17,0.0,58,,48.0,23.0,117671.0,155.202,rosa,82.0,Spanish,hrt,Spanish,2012,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,+1 Lap,0.0,0.0,12.0,0.0,113355.0,113355.0,113355.0,53,41,Hot and humid[2]Air Temp 29 °C (84 °F)[2]Track Temp 31 °C (88 °F)[2],1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,113355.0,113355.0,113355.0,35,6,37,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,72.0,76.0,76.0,76.0,74.0 +8.0,10,5,10.0,59,7260928.0,55.0,12.0,113897.0,160.344,rosberg,6.0,German,mercedes,German,2012,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,1.0,136.0,5.0,1.0,109463.0,107943.0,107943.0,39,27,Hot and humid[2]Air Temp 29 °C (84 °F)[2]Track Temp 31 °C (88 °F)[2],1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,107943.0,109463.0,108449.66666666669,21,6,122,2,1,0,0,1,2,2,0,0,2,1,1,1,0,1,0,0,0,123.0,88.0,82.0,85.0,83.0 +1.0,3,1,25.0,59,7226144.0,50.0,3.0,112134.0,162.865,vettel,5.0,German,red_bull,Austrian,2012,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,1.0,297.0,1.0,4.0,108240.0,106791.0,106905.0,37,25,Hot and humid[2]Air Temp 29 °C (84 °F)[2]Track Temp 31 °C (88 °F)[2],1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,106791.0,108240.0,107312.0,20,5,95,4,2,1,3,2,1,0,0,0,0,1,0,0,0,0,0,0,0,96.0,84.0,79.0,78.0,77.0 +2.0,7,11,0.0,59,7313319.0,53.0,10.0,113726.0,160.585,webber,91.0,Australian,red_bull,Austrian,2012,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,2.0,297.0,1.0,4.0,108717.0,107513.0,107475.0,48,36,Hot and humid[2]Air Temp 29 °C (84 °F)[2]Track Temp 31 °C (88 °F)[2],1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,107475.0,108717.0,107901.66666666669,30,6,122,2,0,0,5,0,1,1,2,0,0,1,0,0,0,0,0,0,0,123.0,88.0,82.0,85.0,83.0 +19.0,16,14,0.0,53,5424951.0,44.0,4.0,96819.0,215.92,bruno_senna,85.0,Brazilian,williams,British,2012,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,58.0,8.0,1.0,93405.0,93405.0,93405.0,41,29,Fine and Dry[2] Air Temp 23 °C (73 °F)[2] Track Temp 32 °C (90 °F)[2],1,0,1,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,93405.0,93405.0,93405.0,27,2,41,0,0,0,0,0,1,2,0,1,3,0,1,0,0,0,1,2,1,72.0,76.0,76.0,76.0,74.0 +3.0,8,4,12.0,53,5361340.0,51.0,2.0,96606.0,216.396,button,22.0,British,mclaren,British,2012,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,2.0,283.0,2.0,5.0,93077.0,91772.0,91290.0,44,32,Fine and Dry[2] Air Temp 23 °C (73 °F)[2] Track Temp 32 °C (90 °F)[2],1,0,1,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,91290.0,93077.0,92046.33333333331,26,6,123,5,3,0,0,0,1,0,1,1,1,0,0,0,1,0,2,0,1,123.0,88.0,82.0,85.0,83.0 +24.0,18,16,0.0,52,,48.0,18.0,98756.0,211.685,glock,65.0,German,marussia,Russian,2012,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+1 Lap,0.0,0.0,10.0,0.0,95213.0,95213.0,95213.0,42,30,Fine and Dry[2] Air Temp 23 °C (73 °F)[2] Track Temp 32 °C (90 °F)[2],1,0,1,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,95213.0,95213.0,95213.0,26,4,86,0,0,0,0,0,0,0,0,0,0,0,1,0,2,1,0,2,2,91.0,83.0,77.0,75.0,75.0 +10.0,4,19,0.0,51,,32.0,16.0,98277.0,212.717,grosjean,8.0,French,lotus_f1,British,2012,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+2 Laps,0.0,239.0,4.0,0.0,92029.0,91988.0,91898.0,38,26,Fine and Dry[2] Air Temp 23 °C (73 °F)[2] Track Temp 32 °C (90 °F)[2],1,0,1,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,91898.0,92029.0,91971.66666666669,23,3,21,3,1,2,1,0,2,1,0,0,0,0,0,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +4.0,9,5,10.0,53,5382732.0,45.0,11.0,97760.0,213.842,hamilton,44.0,British,mclaren,British,2012,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,3.0,283.0,2.0,5.0,93061.0,92121.0,92327.0,39,27,Fine and Dry[2] Air Temp 23 °C (73 °F)[2] Track Temp 32 °C (90 °F)[2],1,0,1,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,92121.0,93061.0,92503.0,22,5,105,6,0,3,0,1,0,0,3,0,0,0,0,0,0,0,0,0,0,107.0,80.0,80.0,79.0,78.0 +12.0,15,7,6.0,53,5387401.0,46.0,14.0,97938.0,213.453,hulkenberg,27.0,German,force_india,Indian,2012,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,81.0,7.0,0.0,92828.0,92272.0,92272.0,37,25,Fine and Dry[2] Air Temp 23 °C (73 °F)[2] Track Temp 32 °C (90 °F)[2],1,0,1,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,92272.0,92828.0,92457.33333333331,23,2,34,0,0,0,1,1,0,0,1,2,1,1,3,0,1,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +14.0,3,3,15.0,53,5360780.0,52.0,3.0,96679.0,216.233,kobayashi,10.0,Japanese,sauber,Swiss,2012,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,116.0,6.0,0.0,92042.0,91886.0,91700.0,38,26,Fine and Dry[2] Air Temp 23 °C (73 °F)[2] Track Temp 32 °C (90 °F)[2],1,0,1,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,91700.0,92042.0,91876.0,23,3,55,0,0,0,1,1,1,0,0,2,1,1,0,3,0,0,0,0,1,72.0,76.0,76.0,76.0,74.0 +20.0,17,15,0.0,52,,52.0,15.0,98043.0,213.224,kovalainen,52.0,Finnish,caterham,Malaysian,2012,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+1 Lap,0.0,0.0,11.0,0.0,94657.0,94657.0,94657.0,43,31,Fine and Dry[2] Air Temp 23 °C (73 °F)[2] Track Temp 32 °C (90 °F)[2],1,0,1,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,94657.0,94657.0,94657.0,26,5,105,0,0,0,0,0,0,0,0,0,0,0,0,1,2,1,1,4,3,107.0,80.0,80.0,79.0,78.0 +18.0,12,8,4.0,53,5388606.0,45.0,12.0,97771.0,213.818,maldonado,13.0,Venezuelan,williams,British,2012,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,1.0,58.0,8.0,1.0,92834.0,92512.0,92512.0,39,27,Fine and Dry[2] Air Temp 23 °C (73 °F)[2] Track Temp 32 °C (90 °F)[2],1,0,1,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,92512.0,92834.0,92619.33333333331,26,1,34,1,0,0,0,0,0,0,1,0,0,1,1,3,0,1,1,0,0,58.0,72.0,78.0,73.0,72.0 +6.0,10,2,18.0,53,5356881.0,50.0,5.0,96894.0,215.753,massa,19.0,Brazilian,ferrari,Italian,2012,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,263.0,3.0,3.0,92946.0,92293.0,92293.0,43,31,Fine and Dry[2] Air Temp 23 °C (73 °F)[2] Track Temp 32 °C (90 °F)[2],1,0,1,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,92293.0,92946.0,92510.66666666669,25,6,116,0,0,0,2,1,1,0,1,2,1,0,1,1,0,2,1,1,0,115.0,80.0,78.0,82.0,78.0 +7.0,23,11,0.0,53,5404011.0,43.0,6.0,96942.0,215.646,michael_schumacher,60.0,German,mercedes,German,2012,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,136.0,5.0,1.0,93349.0,92469.0,92469.0,55,43,Fine and Dry[2] Air Temp 23 °C (73 °F)[2] Track Temp 32 °C (90 °F)[2],1,0,1,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,92469.0,93349.0,92762.33333333331,37,6,71,1,0,1,0,0,1,3,0,0,2,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +21.0,22,17,0.0,52,,47.0,17.0,98344.0,212.572,petrov,83.0,Russian,caterham,Malaysian,2012,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+1 Lap,0.0,0.0,11.0,0.0,95432.0,95432.0,95432.0,40,28,Fine and Dry[2] Air Temp 23 °C (73 °F)[2] Track Temp 32 °C (90 °F)[2],1,0,1,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,95432.0,95432.0,95432.0,26,2,53,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,3,1,1,72.0,76.0,76.0,76.0,74.0 +9.0,7,6,8.0,53,5386666.0,49.0,13.0,97886.0,213.566,raikkonen,7.0,Finnish,lotus_f1,British,2012,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,239.0,4.0,0.0,92221.0,91826.0,92208.0,45,33,Fine and Dry[2] Air Temp 23 °C (73 °F)[2] Track Temp 32 °C (90 °F)[2],1,0,1,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,91826.0,92221.0,92085.0,27,6,85,6,3,3,0,3,1,1,1,1,0,0,0,0,1,0,0,0,0,77.0,76.0,76.0,70.0,71.0 +11.0,11,12,0.0,53,5419702.0,48.0,10.0,97535.0,214.335,resta,95.0,British,force_india,Indian,2012,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,81.0,7.0,0.0,92898.0,92327.0,92327.0,38,26,Fine and Dry[2] Air Temp 23 °C (73 °F)[2] Track Temp 32 °C (90 °F)[2],1,0,1,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,92327.0,92898.0,92517.33333333331,25,1,34,0,0,0,1,0,1,3,1,0,2,2,2,0,1,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +16.0,14,10,1.0,53,5403161.0,50.0,8.0,97455.0,214.511,ricciardo,3.0,Australian,toro_rosso,Italian,2012,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,15.0,9.0,0.0,93059.0,92954.0,92954.0,35,23,Fine and Dry[2] Air Temp 23 °C (73 °F)[2] Track Temp 32 °C (90 °F)[2],1,0,1,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,92954.0,93059.0,92989.0,22,1,26,0,0,0,0,0,0,0,0,3,0,1,2,3,1,2,0,2,0,58.0,72.0,78.0,73.0,72.0 +22.0,20,18,0.0,52,,50.0,20.0,99351.0,210.417,rosa,82.0,Spanish,hrt,Spanish,2012,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+1 Lap,0.0,0.0,12.0,0.0,95385.0,95385.0,95385.0,53,41,Fine and Dry[2] Air Temp 23 °C (73 °F)[2] Track Temp 32 °C (90 °F)[2],1,0,1,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,95385.0,95385.0,95385.0,35,6,38,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,2,72.0,76.0,76.0,76.0,74.0 +17.0,19,13,0.0,53,5424887.0,39.0,9.0,97533.0,214.339,vergne,25.0,French,toro_rosso,Italian,2012,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,15.0,9.0,0.0,93370.0,93368.0,93368.0,34,22,Fine and Dry[2] Air Temp 23 °C (73 °F)[2] Track Temp 32 °C (90 °F)[2],1,0,1,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,93368.0,93370.0,93368.66666666669,22,0,15,0,0,0,0,0,0,0,2,0,0,1,2,0,3,1,2,0,0,58.0,72.0,78.0,73.0,72.0 +1.0,1,1,25.0,53,5336242.0,52.0,1.0,95774.0,218.276,vettel,5.0,German,red_bull,Austrian,2012,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,2.0,324.0,1.0,5.0,92608.0,91501.0,90839.0,37,25,Fine and Dry[2] Air Temp 23 °C (73 °F)[2] Track Temp 32 °C (90 °F)[2],1,0,1,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,90839.0,92608.0,91649.33333333331,20,5,96,5,2,1,3,2,1,0,0,0,0,1,0,0,0,0,0,0,0,96.0,84.0,79.0,78.0,77.0 +2.0,2,9,2.0,53,5390917.0,49.0,7.0,97128.0,215.233,webber,91.0,Australian,red_bull,Austrian,2012,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,2.0,324.0,1.0,5.0,92951.0,91950.0,91090.0,48,36,Fine and Dry[2] Air Temp 23 °C (73 °F)[2] Track Temp 32 °C (90 °F)[2],1,0,1,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,91090.0,92951.0,91997.0,30,6,123,2,0,0,5,0,1,1,2,0,0,2,0,0,0,0,0,0,0,123.0,88.0,82.0,85.0,83.0 +5.0,4,3,15.0,55,5802595.0,52.0,3.0,102442.0,197.321,alonso,14.0,Spanish,ferrari,Italian,2012,16,Korean Grand Prix,21600000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,Finished,3.0,290.0,2.0,3.0,99144.0,97987.0,97534.0,43,31,Fine and Dry[3] Air Temp 21 °C (70 °F)[3] Track Temp 27 °C (81 °F) dropping to 23 °C (73 °F)[3],1,0,1,0,0,Race circuit,Anti-clockwise,5.615,55.0,309.155,97534.0,99144.0,98221.66666666669,25,6,124,8,2,3,0,3,0,1,0,1,0,0,0,0,0,0,0,0,0,123.0,88.0,82.0,85.0,83.0 +19.0,17,15,0.0,55,5885553.0,49.0,14.0,103411.0,195.472,bruno_senna,85.0,Brazilian,williams,British,2012,16,Korean Grand Prix,21600000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,Finished,0.0,58.0,8.0,1.0,99443.0,99443.0,99443.0,41,29,Fine and Dry[3] Air Temp 21 °C (70 °F)[3] Track Temp 27 °C (81 °F) dropping to 23 °C (73 °F)[3],1,0,1,0,0,Race circuit,Anti-clockwise,5.615,55.0,309.155,99443.0,99443.0,99443.0,27,2,42,0,0,0,0,0,1,2,0,1,3,0,1,0,1,0,1,2,1,72.0,76.0,76.0,76.0,74.0 +24.0,20,18,0.0,54,,42.0,19.0,105236.0,192.082,glock,65.0,German,marussia,Russian,2012,16,Korean Grand Prix,21600000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,+1 Lap,0.0,0.0,10.0,0.0,101371.0,101371.0,101371.0,42,30,Fine and Dry[3] Air Temp 21 °C (70 °F)[3] Track Temp 27 °C (81 °F) dropping to 23 °C (73 °F)[3],1,0,1,0,0,Race circuit,Anti-clockwise,5.615,55.0,309.155,101371.0,101371.0,101371.0,26,4,87,0,0,0,0,0,0,0,0,0,0,0,1,0,2,1,1,2,2,91.0,83.0,77.0,75.0,75.0 +10.0,7,7,6.0,55,5843463.0,44.0,10.0,102783.0,196.666,grosjean,8.0,French,lotus_f1,British,2012,16,Korean Grand Prix,21600000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,Finished,0.0,255.0,4.0,0.0,98863.0,98275.0,97934.0,38,26,Fine and Dry[3] Air Temp 21 °C (70 °F)[3] Track Temp 27 °C (81 °F) dropping to 23 °C (73 °F)[3],1,0,1,0,0,Race circuit,Anti-clockwise,5.615,55.0,309.155,97934.0,98863.0,98357.33333333331,23,3,22,3,1,2,1,0,2,1,0,0,0,0,0,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +4.0,3,10,1.0,55,5868343.0,49.0,9.0,102721.0,196.785,hamilton,44.0,British,mclaren,British,2012,16,Korean Grand Prix,21600000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,Finished,3.0,284.0,3.0,5.0,99180.0,98000.0,97469.0,39,27,Fine and Dry[3] Air Temp 21 °C (70 °F)[3] Track Temp 27 °C (81 °F) dropping to 23 °C (73 °F)[3],1,0,1,0,0,Race circuit,Anti-clockwise,5.615,55.0,309.155,97469.0,99180.0,98216.33333333331,22,5,106,6,0,3,0,2,0,0,3,0,0,0,0,0,0,0,0,0,0,107.0,80.0,80.0,79.0,78.0 +12.0,8,6,8.0,55,5833952.0,54.0,6.0,102645.0,196.931,hulkenberg,27.0,German,force_india,Indian,2012,16,Korean Grand Prix,21600000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,Finished,0.0,89.0,7.0,0.0,98981.0,98428.0,98266.0,37,25,Fine and Dry[3] Air Temp 21 °C (70 °F)[3] Track Temp 27 °C (81 °F) dropping to 23 °C (73 °F)[3],1,0,1,0,0,Race circuit,Anti-clockwise,5.615,55.0,309.155,98266.0,98981.0,98558.33333333331,23,2,35,0,0,0,1,1,0,1,1,2,1,1,3,0,1,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +23.0,23,20,0.0,53,,39.0,21.0,107068.0,188.795,karthikeyan,56.0,Indian,hrt,Spanish,2012,16,Korean Grand Prix,21600000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,+2 Laps,0.0,0.0,12.0,0.0,102881.0,102881.0,102881.0,47,35,Fine and Dry[3] Air Temp 21 °C (70 °F)[3] Track Temp 27 °C (81 °F) dropping to 23 °C (73 °F)[3],1,0,1,0,0,Race circuit,Anti-clockwise,5.615,55.0,309.155,102881.0,102881.0,102881.0,34,1,25,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,58.0,72.0,78.0,73.0,72.0 +20.0,19,17,0.0,54,,43.0,17.0,104955.0,192.596,kovalainen,52.0,Finnish,caterham,Malaysian,2012,16,Korean Grand Prix,21600000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,+1 Lap,0.0,0.0,11.0,0.0,100333.0,100333.0,100333.0,43,31,Fine and Dry[3] Air Temp 21 °C (70 °F)[3] Track Temp 27 °C (81 °F) dropping to 23 °C (73 °F)[3],1,0,1,0,0,Race circuit,Anti-clockwise,5.615,55.0,309.155,100333.0,100333.0,100333.0,26,5,106,0,0,0,0,0,0,0,0,0,0,0,0,1,2,2,1,4,3,107.0,80.0,80.0,79.0,78.0 +18.0,15,14,0.0,55,5883575.0,55.0,7.0,102679.0,196.865,maldonado,13.0,Venezuelan,williams,British,2012,16,Korean Grand Prix,21600000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,Finished,1.0,58.0,8.0,1.0,99024.0,98725.0,98725.0,39,27,Fine and Dry[3] Air Temp 21 °C (70 °F)[3] Track Temp 27 °C (81 °F) dropping to 23 °C (73 °F)[3],1,0,1,0,0,Race circuit,Anti-clockwise,5.615,55.0,309.155,98725.0,99024.0,98824.66666666669,26,1,35,1,0,0,0,0,0,0,2,0,0,1,1,3,0,1,1,0,0,58.0,72.0,78.0,73.0,72.0 +6.0,6,4,12.0,55,5808819.0,48.0,2.0,102242.0,197.707,massa,19.0,Brazilian,ferrari,Italian,2012,16,Korean Grand Prix,21600000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,Finished,0.0,290.0,2.0,3.0,98937.0,98253.0,97884.0,43,31,Fine and Dry[3] Air Temp 21 °C (70 °F)[3] Track Temp 27 °C (81 °F) dropping to 23 °C (73 °F)[3],1,0,1,0,0,Race circuit,Anti-clockwise,5.615,55.0,309.155,97884.0,98937.0,98358.0,25,6,117,1,1,0,2,1,1,0,1,2,1,0,1,1,0,2,1,1,0,115.0,80.0,78.0,82.0,78.0 +7.0,10,13,0.0,55,5877892.0,49.0,13.0,103184.0,195.902,michael_schumacher,60.0,German,mercedes,German,2012,16,Korean Grand Prix,21600000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,Finished,0.0,136.0,5.0,1.0,98808.0,98436.0,98513.0,55,43,Fine and Dry[3] Air Temp 21 °C (70 °F)[3] Track Temp 27 °C (81 °F) dropping to 23 °C (73 °F)[3],1,0,1,0,0,Race circuit,Anti-clockwise,5.615,55.0,309.155,98436.0,98808.0,98585.66666666669,37,6,72,1,0,1,0,0,1,3,0,0,2,1,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +15.0,12,11,0.0,55,5868713.0,49.0,4.0,102495.0,197.219,perez,11.0,Mexican,sauber,Swiss,2012,16,Korean Grand Prix,21600000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,Finished,0.0,116.0,6.0,0.0,98630.0,98460.0,98460.0,34,22,Fine and Dry[3] Air Temp 21 °C (70 °F)[3] Track Temp 27 °C (81 °F) dropping to 23 °C (73 °F)[3],1,0,1,0,0,Race circuit,Anti-clockwise,5.615,55.0,309.155,98460.0,98630.0,98516.66666666669,21,1,34,3,2,1,0,0,1,0,1,1,1,3,0,0,1,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +21.0,18,16,0.0,54,,50.0,18.0,105013.0,192.49,petrov,83.0,Russian,caterham,Malaysian,2012,16,Korean Grand Prix,21600000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,+1 Lap,0.0,0.0,11.0,0.0,100207.0,100207.0,100207.0,40,28,Fine and Dry[3] Air Temp 21 °C (70 °F)[3] Track Temp 27 °C (81 °F) dropping to 23 °C (73 °F)[3],1,0,1,0,0,Race circuit,Anti-clockwise,5.615,55.0,309.155,100207.0,100207.0,100207.0,26,2,54,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,3,2,1,72.0,76.0,76.0,76.0,74.0 +25.0,24,19,0.0,53,,52.0,16.0,104462.0,193.505,pic,40.0,French,marussia,Russian,2012,16,Korean Grand Prix,21600000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,+2 Laps,0.0,0.0,10.0,0.0,101317.0,101317.0,101317.0,34,22,Fine and Dry[3] Air Temp 21 °C (70 °F)[3] Track Temp 27 °C (81 °F) dropping to 23 °C (73 °F)[3],1,0,1,0,0,Race circuit,Anti-clockwise,5.615,55.0,309.155,101317.0,101317.0,101317.0,22,0,16,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,3,0,1,58.0,72.0,78.0,73.0,72.0 +9.0,5,5,10.0,55,5825390.0,51.0,11.0,102822.0,196.592,raikkonen,7.0,Finnish,lotus_f1,British,2012,16,Korean Grand Prix,21600000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,Finished,0.0,255.0,4.0,0.0,98887.0,98227.0,97625.0,45,33,Fine and Dry[3] Air Temp 21 °C (70 °F)[3] Track Temp 27 °C (81 °F) dropping to 23 °C (73 °F)[3],1,0,1,0,0,Race circuit,Anti-clockwise,5.615,55.0,309.155,97625.0,98887.0,98246.33333333331,27,6,86,6,3,3,0,3,2,1,1,1,0,0,0,0,1,0,0,0,0,91.0,83.0,77.0,75.0,75.0 +11.0,14,12,0.0,55,5873099.0,48.0,15.0,103517.0,195.272,resta,95.0,British,force_india,Indian,2012,16,Korean Grand Prix,21600000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,Finished,0.0,89.0,7.0,0.0,98942.0,98643.0,98643.0,38,26,Fine and Dry[3] Air Temp 21 °C (70 °F)[3] Track Temp 27 °C (81 °F) dropping to 23 °C (73 °F)[3],1,0,1,0,0,Race circuit,Anti-clockwise,5.615,55.0,309.155,98643.0,98942.0,98742.66666666669,25,1,35,0,0,0,1,0,1,3,1,0,2,2,3,0,1,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +16.0,21,9,2.0,55,5860438.0,45.0,12.0,103148.0,195.97,ricciardo,3.0,Australian,toro_rosso,Italian,2012,16,Korean Grand Prix,21600000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,Finished,0.0,21.0,9.0,0.0,98784.0,99084.0,99084.0,35,23,Fine and Dry[3] Air Temp 21 °C (70 °F)[3] Track Temp 27 °C (81 °F) dropping to 23 °C (73 °F)[3],1,0,1,0,0,Race circuit,Anti-clockwise,5.615,55.0,309.155,98784.0,99084.0,98984.0,22,1,27,0,0,0,0,0,0,0,0,3,1,1,2,3,1,2,0,2,0,58.0,72.0,78.0,73.0,72.0 +17.0,16,8,4.0,55,5858240.0,48.0,8.0,102721.0,196.785,vergne,25.0,French,toro_rosso,Italian,2012,16,Korean Grand Prix,21600000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,Finished,0.0,21.0,9.0,0.0,98744.0,99340.0,99340.0,34,22,Fine and Dry[3] Air Temp 21 °C (70 °F)[3] Track Temp 27 °C (81 °F) dropping to 23 °C (73 °F)[3],1,0,1,0,0,Race circuit,Anti-clockwise,5.615,55.0,309.155,98744.0,99340.0,99141.33333333331,22,0,16,0,0,0,0,0,0,0,2,0,0,1,2,1,3,1,2,0,0,58.0,72.0,78.0,73.0,72.0 +1.0,2,1,25.0,55,5788651.0,55.0,5.0,102499.0,197.211,vettel,5.0,German,red_bull,Austrian,2012,16,Korean Grand Prix,21600000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,Finished,3.0,367.0,1.0,6.0,98208.0,97767.0,97316.0,37,25,Fine and Dry[3] Air Temp 21 °C (70 °F)[3] Track Temp 27 °C (81 °F) dropping to 23 °C (73 °F)[3],1,0,1,0,0,Race circuit,Anti-clockwise,5.615,55.0,309.155,97316.0,98208.0,97763.66666666669,20,5,97,6,2,1,3,2,1,0,0,0,0,1,0,0,0,0,0,0,0,100.0,83.0,81.0,81.0,78.0 +2.0,1,2,18.0,55,5796882.0,54.0,1.0,102037.0,198.104,webber,91.0,Australian,red_bull,Austrian,2012,16,Korean Grand Prix,21600000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,Finished,2.0,367.0,1.0,6.0,98397.0,98220.0,97242.0,48,36,Fine and Dry[3] Air Temp 21 °C (70 °F)[3] Track Temp 27 °C (81 °F) dropping to 23 °C (73 °F)[3],1,0,1,0,0,Race circuit,Anti-clockwise,5.615,55.0,309.155,97242.0,98397.0,97953.0,30,6,124,2,0,0,5,0,1,1,2,1,0,2,0,0,0,0,0,0,0,123.0,88.0,82.0,85.0,83.0 +5.0,5,2,18.0,60,5480181.0,60.0,3.0,88630.0,208.168,alonso,14.0,Spanish,ferrari,Italian,2012,17,Indian Grand Prix,34200000.0,buddh,Uttar Pradesh,India,28.3487,77.5331,194.0,Finished,3.0,316.0,2.0,3.0,86829.0,85834.0,85773.0,43,31,"Fine, Dry, a little hazy and a little dusty[2] Air Temp 30 °C (86 °F)[2] Track Temp 36 °C (97 °F) dropping to 31 °C (88 °F)[2]",1,0,1,0,0,Race circuit,Clockwise,5.141,60.0,307.249,85773.0,86829.0,86145.33333333333,25,6,125,9,2,4,0,3,0,1,0,1,0,0,0,0,0,0,0,0,0,123.0,88.0,82.0,85.0,83.0 +19.0,13,10,1.0,60,5545719.0,60.0,2.0,88431.0,208.637,bruno_senna,85.0,Brazilian,williams,British,2012,17,Indian Grand Prix,34200000.0,buddh,Uttar Pradesh,India,28.3487,77.5331,194.0,Finished,0.0,59.0,8.0,1.0,86851.0,86331.0,86331.0,41,29,"Fine, Dry, a little hazy and a little dusty[2] Air Temp 30 °C (86 °F)[2] Track Temp 36 °C (97 °F) dropping to 31 °C (88 °F)[2]",1,0,1,0,0,Race circuit,Clockwise,5.141,60.0,307.249,86331.0,86851.0,86504.33333333333,27,2,43,0,0,0,0,0,1,2,0,1,3,0,1,0,1,1,1,2,1,72.0,76.0,76.0,76.0,74.0 +3.0,4,5,10.0,60,5497010.0,60.0,1.0,88203.0,209.176,button,22.0,British,mclaren,British,2012,17,Indian Grand Prix,34200000.0,buddh,Uttar Pradesh,India,28.3487,77.5331,194.0,Finished,2.0,306.0,3.0,5.0,86564.0,85467.0,85659.0,44,32,"Fine, Dry, a little hazy and a little dusty[2] Air Temp 30 °C (86 °F)[2] Track Temp 36 °C (97 °F) dropping to 31 °C (88 °F)[2]",1,0,1,0,0,Race circuit,Clockwise,5.141,60.0,307.249,85467.0,86564.0,85896.66666666667,26,6,125,5,3,0,1,0,1,0,1,1,1,0,0,0,1,0,2,0,1,123.0,88.0,82.0,85.0,83.0 +24.0,21,20,0.0,58,,56.0,21.0,91721.0,201.153,glock,65.0,German,marussia,Russian,2012,17,Indian Grand Prix,34200000.0,buddh,Uttar Pradesh,India,28.3487,77.5331,194.0,+2 Laps,0.0,0.0,10.0,0.0,89613.0,89613.0,89613.0,42,30,"Fine, Dry, a little hazy and a little dusty[2] Air Temp 30 °C (86 °F)[2] Track Temp 36 °C (97 °F) dropping to 31 °C (88 °F)[2]",1,0,1,0,0,Race circuit,Clockwise,5.141,60.0,307.249,89613.0,89613.0,89613.0,26,4,88,0,0,0,0,0,0,0,0,0,0,0,1,0,2,1,1,2,3,91.0,83.0,77.0,75.0,75.0 +10.0,11,9,2.0,60,5526847.0,57.0,15.0,89522.0,206.094,grosjean,8.0,French,lotus_f1,British,2012,17,Indian Grand Prix,34200000.0,buddh,Uttar Pradesh,India,28.3487,77.5331,194.0,Finished,0.0,263.0,4.0,0.0,86897.0,86136.0,86136.0,38,26,"Fine, Dry, a little hazy and a little dusty[2] Air Temp 30 °C (86 °F)[2] Track Temp 36 °C (97 °F) dropping to 31 °C (88 °F)[2]",1,0,1,0,0,Race circuit,Clockwise,5.141,60.0,307.249,86136.0,86897.0,86389.66666666667,23,3,23,3,1,2,1,0,2,2,0,0,0,0,0,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +4.0,3,4,12.0,60,5484653.0,58.0,5.0,88944.0,207.433,hamilton,44.0,British,mclaren,British,2012,17,Indian Grand Prix,34200000.0,buddh,Uttar Pradesh,India,28.3487,77.5331,194.0,Finished,3.0,306.0,3.0,5.0,86516.0,85816.0,85544.0,39,27,"Fine, Dry, a little hazy and a little dusty[2] Air Temp 30 °C (86 °F)[2] Track Temp 36 °C (97 °F) dropping to 31 °C (88 °F)[2]",1,0,1,0,0,Race circuit,Clockwise,5.141,60.0,307.249,85544.0,86516.0,85958.66666666667,22,5,107,6,0,3,0,2,0,0,3,0,1,0,0,0,0,0,0,0,0,107.0,80.0,80.0,79.0,78.0 +12.0,12,8,4.0,60,5525742.0,60.0,10.0,89230.0,206.769,hulkenberg,27.0,German,force_india,Indian,2012,17,Indian Grand Prix,34200000.0,buddh,Uttar Pradesh,India,28.3487,77.5331,194.0,Finished,0.0,93.0,7.0,0.0,87185.0,86241.0,86241.0,37,25,"Fine, Dry, a little hazy and a little dusty[2] Air Temp 30 °C (86 °F)[2] Track Temp 36 °C (97 °F) dropping to 31 °C (88 °F)[2]",1,0,1,0,0,Race circuit,Clockwise,5.141,60.0,307.249,86241.0,87185.0,86555.66666666667,23,2,36,0,0,0,1,1,1,1,1,2,1,1,3,0,1,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +14.0,17,14,0.0,60,5557239.0,51.0,8.0,89204.0,206.829,kobayashi,10.0,Japanese,sauber,Swiss,2012,17,Indian Grand Prix,34200000.0,buddh,Uttar Pradesh,India,28.3487,77.5331,194.0,Finished,0.0,116.0,6.0,0.0,87517.0,87219.0,87219.0,38,26,"Fine, Dry, a little hazy and a little dusty[2] Air Temp 30 °C (86 °F)[2] Track Temp 36 °C (97 °F) dropping to 31 °C (88 °F)[2]",1,0,1,0,0,Race circuit,Clockwise,5.141,60.0,307.249,87219.0,87517.0,87318.33333333333,23,3,57,1,0,1,1,1,1,0,0,2,1,1,0,3,0,0,0,0,1,72.0,76.0,76.0,76.0,74.0 +20.0,20,18,0.0,59,,57.0,18.0,90786.0,203.225,kovalainen,52.0,Finnish,caterham,Malaysian,2012,17,Indian Grand Prix,34200000.0,buddh,Uttar Pradesh,India,28.3487,77.5331,194.0,+1 Lap,0.0,0.0,11.0,0.0,89500.0,89500.0,89500.0,43,31,"Fine, Dry, a little hazy and a little dusty[2] Air Temp 30 °C (86 °F)[2] Track Temp 36 °C (97 °F) dropping to 31 °C (88 °F)[2]",1,0,1,0,0,Race circuit,Clockwise,5.141,60.0,307.249,89500.0,89500.0,89500.0,26,5,107,0,0,0,0,0,0,0,0,0,0,0,0,1,2,2,1,5,3,107.0,80.0,80.0,79.0,78.0 +18.0,9,16,0.0,59,,50.0,16.0,90067.0,204.847,maldonado,13.0,Venezuelan,williams,British,2012,17,Indian Grand Prix,34200000.0,buddh,Uttar Pradesh,India,28.3487,77.5331,194.0,+1 Lap,1.0,59.0,8.0,1.0,86048.0,85983.0,86713.0,39,27,"Fine, Dry, a little hazy and a little dusty[2] Air Temp 30 °C (86 °F)[2] Track Temp 36 °C (97 °F) dropping to 31 °C (88 °F)[2]",1,0,1,0,0,Race circuit,Clockwise,5.141,60.0,307.249,85983.0,86713.0,86248.0,26,1,36,1,0,0,0,0,0,0,2,0,0,1,1,3,1,1,1,0,0,58.0,72.0,78.0,73.0,72.0 +6.0,6,6,8.0,60,5515418.0,59.0,11.0,89283.0,206.646,massa,19.0,Brazilian,ferrari,Italian,2012,17,Indian Grand Prix,34200000.0,buddh,Uttar Pradesh,India,28.3487,77.5331,194.0,Finished,0.0,316.0,2.0,3.0,86939.0,86111.0,85857.0,43,31,"Fine, Dry, a little hazy and a little dusty[2] Air Temp 30 °C (86 °F)[2] Track Temp 36 °C (97 °F) dropping to 31 °C (88 °F)[2]",1,0,1,0,0,Race circuit,Clockwise,5.141,60.0,307.249,85857.0,86939.0,86302.33333333333,25,6,118,1,1,0,3,1,1,0,1,2,1,0,1,1,0,2,1,1,0,115.0,80.0,78.0,82.0,78.0 +21.0,19,17,0.0,59,,58.0,19.0,91163.0,202.384,petrov,83.0,Russian,caterham,Malaysian,2012,17,Indian Grand Prix,34200000.0,buddh,Uttar Pradesh,India,28.3487,77.5331,194.0,+1 Lap,0.0,0.0,11.0,0.0,88756.0,88756.0,88756.0,40,28,"Fine, Dry, a little hazy and a little dusty[2] Air Temp 30 °C (86 °F)[2] Track Temp 36 °C (97 °F) dropping to 31 °C (88 °F)[2]",1,0,1,0,0,Race circuit,Clockwise,5.141,60.0,307.249,88756.0,88756.0,88756.0,26,2,55,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,4,2,1,72.0,76.0,76.0,76.0,74.0 +25.0,24,19,0.0,59,,55.0,20.0,91366.0,201.935,pic,40.0,French,marussia,Russian,2012,17,Indian Grand Prix,34200000.0,buddh,Uttar Pradesh,India,28.3487,77.5331,194.0,+1 Lap,0.0,0.0,10.0,0.0,90662.0,90662.0,90662.0,34,22,"Fine, Dry, a little hazy and a little dusty[2] Air Temp 30 °C (86 °F)[2] Track Temp 36 °C (97 °F) dropping to 31 °C (88 °F)[2]",1,0,1,0,0,Race circuit,Clockwise,5.141,60.0,307.249,90662.0,90662.0,90662.0,22,0,17,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,3,0,1,58.0,72.0,78.0,73.0,72.0 +9.0,7,7,6.0,60,5515971.0,54.0,12.0,89354.0,206.482,raikkonen,7.0,Finnish,lotus_f1,British,2012,17,Indian Grand Prix,34200000.0,buddh,Uttar Pradesh,India,28.3487,77.5331,194.0,Finished,0.0,263.0,4.0,0.0,86740.0,86101.0,86236.0,45,33,"Fine, Dry, a little hazy and a little dusty[2] Air Temp 30 °C (86 °F)[2] Track Temp 36 °C (97 °F) dropping to 31 °C (88 °F)[2]",1,0,1,0,0,Race circuit,Clockwise,5.141,60.0,307.249,86101.0,86740.0,86359.0,27,6,87,6,3,3,0,4,2,1,1,1,0,0,0,0,1,0,0,0,0,91.0,83.0,77.0,75.0,75.0 +11.0,16,12,0.0,60,5553559.0,59.0,7.0,89086.0,207.103,resta,95.0,British,force_india,Indian,2012,17,Indian Grand Prix,34200000.0,buddh,Uttar Pradesh,India,28.3487,77.5331,194.0,Finished,0.0,93.0,7.0,0.0,87462.0,86989.0,86989.0,38,26,"Fine, Dry, a little hazy and a little dusty[2] Air Temp 30 °C (86 °F)[2] Track Temp 36 °C (97 °F) dropping to 31 °C (88 °F)[2]",1,0,1,0,0,Race circuit,Clockwise,5.141,60.0,307.249,86989.0,87462.0,87146.66666666667,25,1,36,0,0,0,1,0,1,3,1,0,2,2,4,0,1,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +16.0,15,13,0.0,60,5556808.0,57.0,13.0,89440.0,206.283,ricciardo,3.0,Australian,toro_rosso,Italian,2012,17,Indian Grand Prix,34200000.0,buddh,Uttar Pradesh,India,28.3487,77.5331,194.0,Finished,0.0,21.0,9.0,0.0,87006.0,86777.0,86777.0,35,23,"Fine, Dry, a little hazy and a little dusty[2] Air Temp 30 °C (86 °F)[2] Track Temp 36 °C (97 °F) dropping to 31 °C (88 °F)[2]",1,0,1,0,0,Race circuit,Clockwise,5.141,60.0,307.249,86777.0,87006.0,86853.33333333333,22,1,28,0,0,0,0,0,0,0,0,4,1,1,2,3,1,2,0,2,0,58.0,72.0,78.0,73.0,72.0 +8.0,10,11,0.0,60,5552438.0,59.0,14.0,89492.0,206.163,rosberg,6.0,German,mercedes,German,2012,17,Indian Grand Prix,34200000.0,buddh,Uttar Pradesh,India,28.3487,77.5331,194.0,Finished,1.0,136.0,5.0,1.0,86458.0,85976.0,85976.0,39,27,"Fine, Dry, a little hazy and a little dusty[2] Air Temp 30 °C (86 °F)[2] Track Temp 36 °C (97 °F) dropping to 31 °C (88 °F)[2]",1,0,1,0,0,Race circuit,Clockwise,5.141,60.0,307.249,85976.0,86458.0,86136.66666666667,21,6,125,2,1,0,0,2,2,2,0,0,2,1,1,1,0,1,0,0,0,123.0,88.0,82.0,85.0,83.0 +17.0,18,15,0.0,59,,59.0,17.0,90091.0,204.792,vergne,25.0,French,toro_rosso,Italian,2012,17,Indian Grand Prix,34200000.0,buddh,Uttar Pradesh,India,28.3487,77.5331,194.0,+1 Lap,0.0,21.0,9.0,0.0,87525.0,87525.0,87525.0,34,22,"Fine, Dry, a little hazy and a little dusty[2] Air Temp 30 °C (86 °F)[2] Track Temp 36 °C (97 °F) dropping to 31 °C (88 °F)[2]",1,0,1,0,0,Race circuit,Clockwise,5.141,60.0,307.249,87525.0,87525.0,87525.0,22,0,17,0,0,0,0,0,0,0,3,0,0,1,2,1,3,1,2,0,0,58.0,72.0,78.0,73.0,72.0 +1.0,1,1,25.0,60,5470744.0,60.0,4.0,88723.0,207.95,vettel,5.0,German,red_bull,Austrian,2012,17,Indian Grand Prix,34200000.0,buddh,Uttar Pradesh,India,28.3487,77.5331,194.0,Finished,4.0,407.0,1.0,7.0,86387.0,85435.0,85283.0,37,25,"Fine, Dry, a little hazy and a little dusty[2] Air Temp 30 °C (86 °F)[2] Track Temp 36 °C (97 °F) dropping to 31 °C (88 °F)[2]",1,0,1,0,0,Race circuit,Clockwise,5.141,60.0,307.249,85283.0,86387.0,85701.66666666667,20,5,98,7,2,1,3,2,1,0,0,0,0,1,0,0,0,0,0,0,0,100.0,83.0,81.0,81.0,78.0 +2.0,2,3,15.0,60,5483961.0,59.0,6.0,89029.0,207.235,webber,91.0,Australian,red_bull,Austrian,2012,17,Indian Grand Prix,34200000.0,buddh,Uttar Pradesh,India,28.3487,77.5331,194.0,Finished,2.0,407.0,1.0,7.0,86744.0,85610.0,85327.0,48,36,"Fine, Dry, a little hazy and a little dusty[2] Air Temp 30 °C (86 °F)[2] Track Temp 36 °C (97 °F) dropping to 31 °C (88 °F)[2]",1,0,1,0,0,Race circuit,Clockwise,5.141,60.0,307.249,85327.0,86744.0,85893.66666666667,30,6,125,3,1,0,5,0,1,1,2,1,0,2,0,0,0,0,0,0,0,123.0,88.0,82.0,85.0,83.0 +5.0,6,2,18.0,55,6359519.0,53.0,2.0,104090.0,192.087,alonso,14.0,Spanish,ferrari,Italian,2012,18,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,3.0,340.0,2.0,3.0,101939.0,101514.0,101582.0,43,31,Dry[2] Air Temp 29 °C (84 °F)[2] Track Temp 34 °C (93 °F) dropping to 29 °C (84 °F)[2],0,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,101514.0,101939.0,101678.33333333331,25,6,126,10,3,4,0,3,0,1,0,1,0,0,0,0,0,0,0,0,0,130.0,89.0,85.0,82.0,82.0 +19.0,14,8,4.0,55,6382209.0,49.0,10.0,105693.0,189.174,bruno_senna,85.0,Brazilian,williams,British,2012,18,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,73.0,8.0,1.0,103298.0,102330.0,102330.0,41,29,Dry[2] Air Temp 29 °C (84 °F)[2] Track Temp 34 °C (93 °F) dropping to 29 °C (84 °F)[2],0,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,102330.0,103298.0,102652.66666666669,27,2,44,0,0,0,0,0,1,2,0,1,4,0,1,0,1,1,1,2,1,72.0,76.0,76.0,76.0,74.0 +3.0,5,4,12.0,55,6366454.0,50.0,4.0,104533.0,191.273,button,22.0,British,mclaren,British,2012,18,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,2.0,318.0,3.0,5.0,102342.0,101873.0,101290.0,44,32,Dry[2] Air Temp 29 °C (84 °F)[2] Track Temp 34 °C (93 °F) dropping to 29 °C (84 °F)[2],0,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,101290.0,102342.0,101835.0,26,6,126,5,3,0,1,1,1,0,1,1,1,0,0,0,1,0,2,0,1,130.0,89.0,85.0,82.0,82.0 +24.0,21,14,0.0,55,6415140.0,54.0,18.0,107661.0,185.716,glock,65.0,German,marussia,Russian,2012,18,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,0.0,10.0,0.0,105426.0,105426.0,105426.0,42,30,Dry[2] Air Temp 29 °C (84 °F)[2] Track Temp 34 °C (93 °F) dropping to 29 °C (84 °F)[2],0,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,105426.0,105426.0,105426.0,26,4,89,0,0,0,0,0,0,0,0,0,0,0,1,0,2,1,1,2,3,91.0,83.0,77.0,75.0,75.0 +14.0,15,6,8.0,55,6378743.0,55.0,8.0,105423.0,189.658,kobayashi,10.0,Japanese,sauber,Swiss,2012,18,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,124.0,6.0,0.0,103582.0,102606.0,102606.0,38,26,Dry[2] Air Temp 29 °C (84 °F)[2] Track Temp 34 °C (93 °F) dropping to 29 °C (84 °F)[2],0,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,102606.0,103582.0,102931.33333333331,23,3,58,1,0,1,1,1,1,0,0,2,1,1,0,3,1,0,0,0,1,72.0,76.0,76.0,76.0,74.0 +20.0,18,13,0.0,55,6406431.0,51.0,15.0,107115.0,186.662,kovalainen,52.0,Finnish,caterham,Malaysian,2012,18,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,0.0,11.0,0.0,104956.0,104956.0,104956.0,43,31,Dry[2] Air Temp 29 °C (84 °F)[2] Track Temp 34 °C (93 °F) dropping to 29 °C (84 °F)[2],0,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,104956.0,104956.0,104956.0,26,5,108,0,0,0,0,0,0,0,0,0,0,0,0,1,2,2,1,5,4,107.0,80.0,80.0,79.0,78.0 +18.0,3,5,10.0,55,6371674.0,55.0,5.0,104833.0,190.726,maldonado,13.0,Venezuelan,williams,British,2012,18,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,1.0,73.0,8.0,1.0,101981.0,101907.0,101226.0,39,27,Dry[2] Air Temp 29 °C (84 °F)[2] Track Temp 34 °C (93 °F) dropping to 29 °C (84 °F)[2],0,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,101226.0,101981.0,101704.66666666669,26,1,37,1,0,0,0,0,0,0,2,0,0,1,1,3,1,1,2,0,0,72.0,76.0,76.0,76.0,74.0 +6.0,8,7,6.0,55,6381563.0,53.0,11.0,105700.0,189.161,massa,19.0,Brazilian,ferrari,Italian,2012,18,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,340.0,2.0,3.0,101974.0,101846.0,101723.0,43,31,Dry[2] Air Temp 29 °C (84 °F)[2] Track Temp 34 °C (93 °F) dropping to 29 °C (84 °F)[2],0,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,101723.0,101974.0,101847.66666666669,25,6,119,1,1,0,3,1,2,0,1,2,1,0,1,1,0,2,1,1,0,115.0,80.0,78.0,82.0,78.0 +7.0,13,11,0.0,55,6386742.0,51.0,6.0,105225.0,190.015,michael_schumacher,60.0,German,mercedes,German,2012,18,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,136.0,5.0,1.0,102735.0,102289.0,102289.0,55,43,Dry[2] Air Temp 29 °C (84 °F)[2] Track Temp 34 °C (93 °F) dropping to 29 °C (84 °F)[2],0,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,102289.0,102735.0,102437.66666666669,37,6,74,1,0,1,0,0,1,3,0,0,2,1,0,1,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +15.0,11,15,0.0,55,6415435.0,54.0,7.0,105410.0,189.682,perez,11.0,Mexican,sauber,Swiss,2012,18,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,124.0,6.0,0.0,102624.0,102084.0,102084.0,34,22,Dry[2] Air Temp 29 °C (84 °F)[2] Track Temp 34 °C (93 °F) dropping to 29 °C (84 °F)[2],0,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,102084.0,102624.0,102264.0,21,1,36,3,2,1,0,0,1,0,1,1,1,4,0,0,1,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +21.0,20,16,0.0,55,6423262.0,50.0,19.0,108308.0,184.606,petrov,83.0,Russian,caterham,Malaysian,2012,18,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,0.0,11.0,0.0,105151.0,105151.0,105151.0,40,28,Dry[2] Air Temp 29 °C (84 °F)[2] Track Temp 34 °C (93 °F) dropping to 29 °C (84 °F)[2],0,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,105151.0,105151.0,105151.0,26,2,56,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,4,3,1,72.0,76.0,76.0,76.0,74.0 +9.0,4,1,25.0,55,6358667.0,50.0,3.0,104458.0,191.41,raikkonen,7.0,Finnish,lotus_f1,British,2012,18,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,288.0,4.0,1.0,102222.0,101532.0,101260.0,45,33,Dry[2] Air Temp 29 °C (84 °F)[2] Track Temp 34 °C (93 °F) dropping to 29 °C (84 °F)[2],0,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,101260.0,102222.0,101671.33333333331,27,6,88,6,3,3,0,4,2,2,1,1,0,0,0,0,1,0,0,0,0,91.0,83.0,77.0,75.0,75.0 +11.0,12,9,2.0,55,6382827.0,53.0,9.0,105617.0,189.31,resta,95.0,British,force_india,Indian,2012,18,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,95.0,7.0,0.0,102572.0,102218.0,102218.0,38,26,Dry[2] Air Temp 29 °C (84 °F)[2] Track Temp 34 °C (93 °F) dropping to 29 °C (84 °F)[2],0,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,102218.0,102572.0,102336.0,25,1,37,0,0,0,1,0,1,3,1,0,2,2,5,0,1,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +16.0,16,10,1.0,55,6386130.0,53.0,12.0,105903.0,188.799,ricciardo,3.0,Australian,toro_rosso,Italian,2012,18,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,22.0,9.0,0.0,103280.0,102765.0,102765.0,35,23,Dry[2] Air Temp 29 °C (84 °F)[2] Track Temp 34 °C (93 °F) dropping to 29 °C (84 °F)[2],0,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,102765.0,103280.0,102936.66666666669,22,1,29,0,0,0,0,0,0,0,0,4,1,1,2,4,1,2,0,2,0,58.0,72.0,78.0,73.0,72.0 +22.0,22,17,0.0,55,6430445.0,47.0,20.0,108619.0,184.078,rosa,82.0,Spanish,hrt,Spanish,2012,18,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,0.0,12.0,0.0,105766.0,105766.0,105766.0,53,41,Dry[2] Air Temp 29 °C (84 °F)[2] Track Temp 34 °C (93 °F) dropping to 29 °C (84 °F)[2],0,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,105766.0,105766.0,105766.0,35,6,41,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,3,72.0,76.0,76.0,76.0,74.0 +17.0,17,12,0.0,55,6393573.0,53.0,13.0,106113.0,188.425,vergne,25.0,French,toro_rosso,Italian,2012,18,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,22.0,9.0,0.0,104058.0,104058.0,104058.0,34,22,Dry[2] Air Temp 29 °C (84 °F)[2] Track Temp 34 °C (93 °F) dropping to 29 °C (84 °F)[2],0,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,104058.0,104058.0,104058.0,22,0,18,0,0,0,0,0,0,0,3,0,0,1,2,1,3,2,2,0,0,58.0,72.0,78.0,73.0,72.0 +1.0,24,3,15.0,55,6362830.0,54.0,1.0,103964.0,192.32,vettel,5.0,German,red_bull,Austrian,2012,18,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,5.0,422.0,1.0,7.0,102160.0,101511.0,101073.0,37,25,Dry[2] Air Temp 29 °C (84 °F)[2] Track Temp 34 °C (93 °F) dropping to 29 °C (84 °F)[2],0,0,1,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,101073.0,102160.0,101581.33333333331,20,5,99,8,2,1,3,2,1,0,0,0,0,1,0,0,0,0,0,0,0,100.0,83.0,81.0,81.0,78.0 +5.0,7,3,15.0,56,5794498.0,56.0,4.0,99672.0,199.121,alonso,14.0,Spanish,ferrari,Italian,2012,19,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,3.0,367.0,2.0,3.0,97968.0,97123.0,97300.0,43,31,Scattered clouds[2][3]Air temp 24 °C (75 °F)[3]Track temp 32 °C (90 °F)[3],0,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,97123.0,97968.0,97463.66666666669,25,6,127,11,4,4,0,3,0,1,0,1,0,0,0,0,0,0,0,0,0,130.0,89.0,85.0,82.0,82.0 +19.0,10,10,1.0,56,5830402.0,53.0,13.0,100745.0,197.0,bruno_senna,85.0,Brazilian,williams,British,2012,19,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,0.0,76.0,8.0,1.0,97520.0,97604.0,97604.0,41,29,Scattered clouds[2][3]Air temp 24 °C (75 °F)[3]Track temp 32 °C (90 °F)[3],0,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,97520.0,97604.0,97576.0,27,2,45,0,0,0,0,0,1,2,1,1,4,0,1,0,1,1,1,2,1,72.0,76.0,76.0,76.0,74.0 +3.0,12,5,10.0,56,5811701.0,54.0,6.0,100150.0,198.17,button,22.0,British,mclaren,British,2012,19,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,2.0,353.0,3.0,6.0,97565.0,97616.0,97616.0,44,32,Scattered clouds[2][3]Air temp 24 °C (75 °F)[3]Track temp 32 °C (90 °F)[3],0,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,97565.0,97616.0,97599.0,26,6,127,5,3,0,2,1,1,0,1,1,1,0,0,0,1,0,2,0,1,130.0,89.0,85.0,82.0,82.0 +24.0,19,19,0.0,55,,40.0,20.0,103324.0,192.083,glock,65.0,German,marussia,Russian,2012,19,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,+1 Lap,0.0,0.0,10.0,0.0,100056.0,100056.0,100056.0,42,30,Scattered clouds[2][3]Air temp 24 °C (75 °F)[3]Track temp 32 °C (90 °F)[3],0,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,100056.0,100056.0,100056.0,26,4,90,0,0,0,0,0,0,0,0,0,0,0,1,0,3,1,1,2,3,91.0,83.0,77.0,75.0,75.0 +10.0,8,7,6.0,56,5825582.0,55.0,10.0,100625.0,197.235,grosjean,8.0,French,lotus_f1,British,2012,19,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,0.0,302.0,4.0,1.0,97486.0,96906.0,96587.0,38,26,Scattered clouds[2][3]Air temp 24 °C (75 °F)[3]Track temp 32 °C (90 °F)[3],0,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,96587.0,97486.0,96993.0,23,3,25,3,1,2,1,0,2,2,0,1,0,0,0,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +4.0,2,1,25.0,56,5755269.0,55.0,5.0,99709.0,199.047,hamilton,44.0,British,mclaren,British,2012,19,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,3.0,353.0,3.0,6.0,97058.0,96795.0,95766.0,39,27,Scattered clouds[2][3]Air temp 24 °C (75 °F)[3]Track temp 32 °C (90 °F)[3],0,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,95766.0,97058.0,96539.66666666669,22,5,109,6,0,3,1,2,0,0,3,0,1,0,0,0,0,0,0,0,0,110.0,79.0,79.0,79.0,77.0 +12.0,6,8,4.0,56,5829061.0,53.0,16.0,101048.0,196.409,hulkenberg,27.0,German,force_india,Indian,2012,19,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,0.0,99.0,7.0,0.0,97756.0,97066.0,97141.0,37,25,Scattered clouds[2][3]Air temp 24 °C (75 °F)[3]Track temp 32 °C (90 °F)[3],0,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,97066.0,97756.0,97321.0,23,2,38,0,0,0,1,1,1,1,2,2,1,1,3,0,1,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +14.0,16,14,0.0,55,,55.0,7.0,100315.0,197.844,kobayashi,10.0,Japanese,sauber,Swiss,2012,19,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,+1 Lap,0.0,124.0,6.0,0.0,98418.0,98437.0,98437.0,38,26,Scattered clouds[2][3]Air temp 24 °C (75 °F)[3]Track temp 32 °C (90 °F)[3],0,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,98418.0,98437.0,98430.66666666669,23,3,59,1,0,1,1,1,2,0,0,2,1,1,0,3,1,0,0,0,1,72.0,76.0,76.0,76.0,74.0 +20.0,22,18,0.0,55,,50.0,19.0,103072.0,192.552,kovalainen,52.0,Finnish,caterham,Malaysian,2012,19,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,+1 Lap,0.0,0.0,11.0,0.0,101166.0,101166.0,101166.0,43,31,Scattered clouds[2][3]Air temp 24 °C (75 °F)[3]Track temp 32 °C (90 °F)[3],0,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,101166.0,101166.0,101166.0,26,5,109,0,0,0,0,0,0,0,0,0,0,0,0,2,2,2,1,5,4,110.0,79.0,79.0,79.0,77.0 +18.0,9,9,2.0,56,5829794.0,53.0,12.0,100719.0,197.051,maldonado,13.0,Venezuelan,williams,British,2012,19,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,1.0,76.0,8.0,1.0,97537.0,97011.0,97842.0,39,27,Scattered clouds[2][3]Air temp 24 °C (75 °F)[3]Track temp 32 °C (90 °F)[3],0,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,97011.0,97842.0,97463.33333333331,26,1,38,1,0,0,0,1,0,0,2,0,0,1,1,3,1,1,2,0,0,72.0,76.0,76.0,76.0,74.0 +6.0,11,4,12.0,56,5801282.0,56.0,2.0,99402.0,199.661,massa,19.0,Brazilian,ferrari,Italian,2012,19,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,0.0,367.0,2.0,3.0,97667.0,96549.0,96937.0,43,31,Scattered clouds[2][3]Air temp 24 °C (75 °F)[3]Track temp 32 °C (90 °F)[3],0,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,96549.0,97667.0,97051.0,25,6,120,1,1,0,3,1,2,1,1,2,1,0,1,1,0,2,1,1,0,115.0,80.0,78.0,82.0,78.0 +7.0,5,16,0.0,55,,54.0,15.0,100923.0,196.652,michael_schumacher,60.0,German,mercedes,German,2012,19,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,+1 Lap,0.0,136.0,5.0,1.0,97927.0,97102.0,96794.0,55,43,Scattered clouds[2][3]Air temp 24 °C (75 °F)[3]Track temp 32 °C (90 °F)[3],0,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,96794.0,97927.0,97274.33333333331,37,6,75,1,0,1,0,0,1,3,0,0,2,2,0,1,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +15.0,15,11,0.0,56,5839610.0,53.0,11.0,100701.0,197.086,perez,11.0,Mexican,sauber,Swiss,2012,19,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,0.0,124.0,6.0,0.0,98500.0,98206.0,98206.0,34,22,Scattered clouds[2][3]Air temp 24 °C (75 °F)[3]Track temp 32 °C (90 °F)[3],0,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,98206.0,98500.0,98304.0,21,1,37,3,2,1,0,0,1,0,1,1,1,4,0,0,1,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +21.0,21,17,0.0,55,,55.0,18.0,102824.0,193.017,petrov,83.0,Russian,caterham,Malaysian,2012,19,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,+1 Lap,0.0,0.0,11.0,0.0,100809.0,100809.0,100809.0,40,28,Scattered clouds[2][3]Air temp 24 °C (75 °F)[3]Track temp 32 °C (90 °F)[3],0,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,100809.0,100809.0,100809.0,26,2,57,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,5,3,1,72.0,76.0,76.0,76.0,74.0 +25.0,20,20,0.0,54,,54.0,17.0,102481.0,193.663,pic,40.0,French,marussia,Russian,2012,19,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,+2 Laps,0.0,0.0,10.0,0.0,100664.0,100664.0,100664.0,34,22,Scattered clouds[2][3]Air temp 24 °C (75 °F)[3]Track temp 32 °C (90 °F)[3],0,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,100664.0,100664.0,100664.0,22,0,19,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,3,0,2,58.0,72.0,78.0,73.0,72.0 +9.0,4,6,8.0,56,5819694.0,56.0,3.0,99474.0,199.517,raikkonen,7.0,Finnish,lotus_f1,British,2012,19,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,1.0,302.0,4.0,1.0,98051.0,97404.0,96708.0,45,33,Scattered clouds[2][3]Air temp 24 °C (75 °F)[3]Track temp 32 °C (90 °F)[3],0,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,96708.0,98051.0,97387.66666666669,27,6,89,7,3,3,0,4,2,2,1,1,0,0,0,0,1,0,0,0,0,91.0,83.0,77.0,75.0,75.0 +11.0,13,15,0.0,55,,55.0,9.0,100594.0,197.296,resta,95.0,British,force_india,Indian,2012,19,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,+1 Lap,0.0,99.0,7.0,0.0,98104.0,97665.0,97665.0,38,26,Scattered clouds[2][3]Air temp 24 °C (75 °F)[3]Track temp 32 °C (90 °F)[3],0,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,97665.0,98104.0,97811.33333333331,25,1,38,0,0,0,1,0,1,3,1,1,2,2,5,0,1,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +16.0,18,12,0.0,56,5840140.0,53.0,14.0,100772.0,196.947,ricciardo,3.0,Australian,toro_rosso,Italian,2012,19,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,0.0,22.0,9.0,0.0,99114.0,99114.0,99114.0,35,23,Scattered clouds[2][3]Air temp 24 °C (75 °F)[3]Track temp 32 °C (90 °F)[3],0,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,99114.0,99114.0,99114.0,22,1,30,0,0,0,0,0,0,0,0,4,2,1,2,4,1,2,0,2,0,58.0,72.0,78.0,73.0,72.0 +8.0,17,13,0.0,56,5840779.0,51.0,8.0,100428.0,197.622,rosberg,6.0,German,mercedes,German,2012,19,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,1.0,136.0,5.0,1.0,98862.0,98501.0,98501.0,39,27,Scattered clouds[2][3]Air temp 24 °C (75 °F)[3]Track temp 32 °C (90 °F)[3],0,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,98501.0,98862.0,98621.33333333331,21,6,127,2,1,0,0,2,2,2,0,0,2,2,1,1,0,1,0,0,0,130.0,89.0,85.0,82.0,82.0 +1.0,1,2,18.0,56,5755944.0,56.0,1.0,99347.0,199.772,vettel,5.0,German,red_bull,Austrian,2012,19,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,5.0,440.0,1.0,7.0,96558.0,95796.0,95657.0,37,25,Scattered clouds[2][3]Air temp 24 °C (75 °F)[3]Track temp 32 °C (90 °F)[3],0,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,95657.0,96558.0,96003.66666666669,20,5,100,9,2,2,3,2,1,0,0,0,0,1,0,0,0,0,0,0,0,100.0,83.0,81.0,81.0,78.0 +5.0,7,2,18.0,71,6325410.0,36.0,4.0,78623.0,197.301,alonso,14.0,Spanish,ferrari,Italian,2012,20,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,3.0,400.0,2.0,3.0,76097.0,73856.0,73253.0,43,31,"Race start: drops of rain, light rain shower getting heavier at the end.[2] Air Temp 19 °C (66 °F)[2] Track Temp 21 °C (70 °F)[2]",0,0,0,1,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,73253.0,76097.0,74402.0,25,6,128,12,4,5,0,3,0,1,0,1,0,0,0,0,0,0,0,0,0,133.0,90.0,90.0,81.0,84.0 +3.0,2,1,25.0,71,6322656.0,37.0,2.0,78108.0,198.601,button,22.0,British,mclaren,British,2012,20,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,2.0,378.0,3.0,7.0,75456.0,73515.0,72513.0,44,32,"Race start: drops of rain, light rain shower getting heavier at the end.[2] Air Temp 19 °C (66 °F)[2] Track Temp 21 °C (70 °F)[2]",0,0,0,1,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,72513.0,75456.0,73828.0,26,6,128,5,3,0,2,2,1,0,1,1,1,0,0,0,1,0,2,0,1,133.0,90.0,90.0,81.0,84.0 +24.0,21,16,0.0,70,,34.0,14.0,79686.0,194.669,glock,65.0,German,marussia,Russian,2012,20,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,0.0,11.0,0.0,77508.0,77508.0,77508.0,42,30,"Race start: drops of rain, light rain shower getting heavier at the end.[2] Air Temp 19 °C (66 °F)[2] Track Temp 21 °C (70 °F)[2]",0,0,0,1,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,77508.0,77508.0,77508.0,26,4,91,0,0,0,0,0,0,0,0,0,0,0,1,0,3,1,1,2,3,96.0,84.0,79.0,78.0,77.0 +12.0,6,5,10.0,71,6328364.0,38.0,3.0,78210.0,198.342,hulkenberg,27.0,German,force_india,Indian,2012,20,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,109.0,7.0,0.0,75536.0,73704.0,73206.0,37,25,"Race start: drops of rain, light rain shower getting heavier at the end.[2] Air Temp 19 °C (66 °F)[2] Track Temp 21 °C (70 °F)[2]",0,0,0,1,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,73206.0,75536.0,74148.66666666667,23,2,39,0,0,0,1,1,1,1,3,2,1,1,3,0,1,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +23.0,23,18,0.0,69,,40.0,20.0,81544.0,190.233,karthikeyan,56.0,Indian,hrt,Spanish,2012,20,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+2 Laps,0.0,0.0,12.0,0.0,79576.0,79576.0,79576.0,47,35,"Race start: drops of rain, light rain shower getting heavier at the end.[2] Air Temp 19 °C (66 °F)[2] Track Temp 21 °C (70 °F)[2]",0,0,0,1,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,79576.0,79576.0,79576.0,34,1,29,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,58.0,72.0,78.0,73.0,72.0 +14.0,14,9,2.0,71,6353906.0,35.0,7.0,78973.0,196.426,kobayashi,10.0,Japanese,sauber,Swiss,2012,20,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,126.0,6.0,0.0,76400.0,74380.0,74380.0,38,26,"Race start: drops of rain, light rain shower getting heavier at the end.[2] Air Temp 19 °C (66 °F)[2] Track Temp 21 °C (70 °F)[2]",0,0,0,1,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,74380.0,76400.0,75053.33333333333,23,3,60,1,0,1,1,1,2,0,0,2,1,1,0,3,2,0,0,0,1,72.0,76.0,76.0,76.0,74.0 +20.0,20,14,0.0,70,,39.0,10.0,79256.0,195.725,kovalainen,52.0,Finnish,caterham,Malaysian,2012,20,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,0.0,10.0,0.0,77086.0,77086.0,77086.0,43,31,"Race start: drops of rain, light rain shower getting heavier at the end.[2] Air Temp 19 °C (66 °F)[2] Track Temp 21 °C (70 °F)[2]",0,0,0,1,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,77086.0,77086.0,77086.0,26,5,110,0,0,0,0,0,0,0,0,0,0,0,0,2,2,2,1,5,5,110.0,79.0,79.0,79.0,77.0 +6.0,5,3,15.0,71,6326271.0,37.0,5.0,78879.0,196.66,massa,19.0,Brazilian,ferrari,Italian,2012,20,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,400.0,2.0,3.0,76263.0,74048.0,72987.0,43,31,"Race start: drops of rain, light rain shower getting heavier at the end.[2] Air Temp 19 °C (66 °F)[2] Track Temp 21 °C (70 °F)[2]",0,0,0,1,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,72987.0,76263.0,74432.66666666667,25,6,121,1,1,0,4,1,2,1,1,2,1,0,1,1,0,2,1,1,0,123.0,88.0,82.0,85.0,83.0 +7.0,13,7,6.0,71,6334563.0,37.0,15.0,80158.0,193.522,michael_schumacher,60.0,German,mercedes,German,2012,20,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,142.0,5.0,1.0,76005.0,74334.0,74334.0,55,43,"Race start: drops of rain, light rain shower getting heavier at the end.[2] Air Temp 19 °C (66 °F)[2] Track Temp 21 °C (70 °F)[2]",0,0,0,1,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,74334.0,76005.0,74891.0,37,6,76,1,0,1,0,0,1,3,0,0,2,2,0,1,0,0,1,0,0,74.0,75.0,75.0,72.0,71.0 +21.0,19,11,0.0,70,,39.0,18.0,80528.0,192.633,petrov,83.0,Russian,caterham,Malaysian,2012,20,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,0.0,10.0,0.0,77073.0,77073.0,77073.0,40,28,"Race start: drops of rain, light rain shower getting heavier at the end.[2] Air Temp 19 °C (66 °F)[2] Track Temp 21 °C (70 °F)[2]",0,0,0,1,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,77073.0,77073.0,77073.0,26,2,58,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,5,4,1,72.0,76.0,76.0,76.0,74.0 +25.0,22,12,0.0,70,,36.0,17.0,80310.0,193.156,pic,40.0,French,marussia,Russian,2012,20,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,0.0,11.0,0.0,78104.0,78104.0,78104.0,34,22,"Race start: drops of rain, light rain shower getting heavier at the end.[2] Air Temp 19 °C (66 °F)[2] Track Temp 21 °C (70 °F)[2]",0,0,0,1,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,78104.0,78104.0,78104.0,22,0,20,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,3,0,2,58.0,72.0,78.0,73.0,72.0 +9.0,8,10,1.0,70,,34.0,13.0,79444.0,195.262,raikkonen,7.0,Finnish,lotus_f1,British,2012,20,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,1.0,303.0,4.0,1.0,76432.0,73698.0,73298.0,45,33,"Race start: drops of rain, light rain shower getting heavier at the end.[2] Air Temp 19 °C (66 °F)[2] Track Temp 21 °C (70 °F)[2]",0,0,0,1,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,73298.0,76432.0,74476.0,27,6,90,7,3,3,0,4,3,2,1,1,0,0,0,0,1,0,0,0,0,91.0,83.0,77.0,75.0,75.0 +16.0,15,13,0.0,70,,36.0,11.0,79308.0,195.596,ricciardo,3.0,Australian,toro_rosso,Italian,2012,20,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,26.0,9.0,0.0,76744.0,74574.0,74574.0,35,23,"Race start: drops of rain, light rain shower getting heavier at the end.[2] Air Temp 19 °C (66 °F)[2] Track Temp 21 °C (70 °F)[2]",0,0,0,1,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,74574.0,76744.0,75297.33333333333,22,1,31,0,0,0,0,0,0,0,0,4,2,1,3,4,1,2,0,2,0,58.0,72.0,78.0,73.0,72.0 +22.0,24,17,0.0,69,,37.0,19.0,81085.0,191.31,rosa,82.0,Spanish,hrt,Spanish,2012,20,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+2 Laps,0.0,0.0,12.0,0.0,79699.0,79699.0,79699.0,53,41,"Race start: drops of rain, light rain shower getting heavier at the end.[2] Air Temp 19 °C (66 °F)[2] Track Temp 21 °C (70 °F)[2]",0,0,0,1,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,79699.0,79699.0,79699.0,35,6,43,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,3,72.0,76.0,76.0,76.0,74.0 +8.0,9,15,0.0,70,,38.0,16.0,80266.0,193.262,rosberg,6.0,German,mercedes,German,2012,20,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,1.0,142.0,5.0,1.0,75929.0,73848.0,73489.0,39,27,"Race start: drops of rain, light rain shower getting heavier at the end.[2] Air Temp 19 °C (66 °F)[2] Track Temp 21 °C (70 °F)[2]",0,0,0,1,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,73489.0,75929.0,74422.0,21,6,128,2,1,0,0,2,2,2,0,0,2,2,1,2,0,1,0,0,0,133.0,90.0,90.0,81.0,84.0 +17.0,17,8,4.0,71,6351309.0,39.0,8.0,78983.0,196.401,vergne,25.0,French,toro_rosso,Italian,2012,20,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,26.0,9.0,0.0,76722.0,74619.0,74619.0,34,22,"Race start: drops of rain, light rain shower getting heavier at the end.[2] Air Temp 19 °C (66 °F)[2] Track Temp 21 °C (70 °F)[2]",0,0,0,1,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,74619.0,76722.0,75320.0,22,0,20,0,0,0,0,0,0,0,3,0,0,1,3,1,3,2,2,0,0,58.0,72.0,78.0,73.0,72.0 +1.0,4,6,8.0,71,6332109.0,36.0,9.0,79090.0,196.136,vettel,5.0,German,red_bull,Austrian,2012,20,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,5.0,460.0,1.0,7.0,75644.0,73209.0,72760.0,37,25,"Race start: drops of rain, light rain shower getting heavier at the end.[2] Air Temp 19 °C (66 °F)[2] Track Temp 21 °C (70 °F)[2]",0,0,0,1,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,72760.0,75644.0,73871.0,20,5,101,10,3,2,3,2,1,0,0,0,0,1,0,0,0,0,0,0,0,100.0,83.0,81.0,81.0,78.0 +2.0,3,4,12.0,71,6327592.0,39.0,6.0,78903.0,196.6,webber,91.0,Australian,red_bull,Austrian,2012,20,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,2.0,460.0,1.0,7.0,76180.0,73667.0,72581.0,48,36,"Race start: drops of rain, light rain shower getting heavier at the end.[2] Air Temp 19 °C (66 °F)[2] Track Temp 21 °C (70 °F)[2]",0,0,0,1,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,72581.0,76180.0,74142.66666666667,30,6,128,4,1,1,5,0,1,1,2,1,0,2,0,0,0,0,0,0,0,133.0,90.0,90.0,81.0,84.0 +3.0,5,2,18.0,58,5415676.0,53.0,3.0,89560.0,213.162,alonso,14.0,Spanish,ferrari,Italian,2013,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,30.0,1.0,0.0,103850.0,96691.0,88493.0,43,32,"Scattered Clouds, Fine and Dry[2] Air Temp 18 °C (64 °F)[2] Track Temp 25 °C (77 °F) dropping to 19 °C (66 °F)[2]",1,0,1,0,1,Street circuit,Clockwise,5.278,58.0,306.124,88493.0,103850.0,96344.66666666669,25,7,129,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,133.0,90.0,90.0,81.0,84.0 +17.0,16,14,0.0,57,,42.0,12.0,90652.0,210.594,bottas,77.0,Finnish,williams,British,2013,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+1 Lap,0.0,0.0,9.0,0.0,107328.0,100290.0,100290.0,35,24,"Scattered Clouds, Fine and Dry[2] Air Temp 18 °C (64 °F)[2] Track Temp 25 °C (77 °F) dropping to 19 °C (66 °F)[2]",1,0,1,0,1,Street circuit,Clockwise,5.278,58.0,306.124,100290.0,107328.0,102636.0,24,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +5.0,10,9,2.0,58,5484855.0,41.0,7.0,90198.0,211.654,button,22.0,British,mclaren,British,2013,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,2.0,6.0,0.0,104688.0,96644.0,90357.0,44,33,"Scattered Clouds, Fine and Dry[2] Air Temp 18 °C (64 °F)[2] Track Temp 25 °C (77 °F) dropping to 19 °C (66 °F)[2]",1,0,1,0,1,Street circuit,Clockwise,5.278,58.0,306.124,90357.0,104688.0,97229.66666666669,26,7,129,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,133.0,90.0,90.0,81.0,84.0 +23.0,20,17,0.0,56,,49.0,17.0,92210.0,207.036,chilton,4.0,British,marussia,Russian,2013,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+2 Laps,0.0,0.0,10.0,0.0,108909.0,108909.0,108909.0,33,22,"Scattered Clouds, Fine and Dry[2] Air Temp 18 °C (64 °F)[2] Track Temp 25 °C (77 °F) dropping to 19 °C (66 °F)[2]",1,0,1,0,1,Street circuit,Clockwise,5.278,58.0,306.124,108909.0,108909.0,108909.0,22,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +21.0,21,18,0.0,56,,39.0,20.0,92636.0,206.084,garde,32.0,Dutch,caterham,Malaysian,2013,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+2 Laps,0.0,0.0,11.0,0.0,109519.0,109519.0,109519.0,39,28,"Scattered Clouds, Fine and Dry[2] Air Temp 18 °C (64 °F)[2] Track Temp 25 °C (77 °F) dropping to 19 °C (66 °F)[2]",1,0,1,0,1,Street circuit,Clockwise,5.278,58.0,306.124,109519.0,109519.0,109519.0,28,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,8,10,1.0,58,5485984.0,41.0,9.0,90395.0,211.193,grosjean,8.0,French,lotus_f1,British,2013,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,26.0,2.0,1.0,104284.0,97641.0,89013.0,38,27,"Scattered Clouds, Fine and Dry[2] Air Temp 18 °C (64 °F)[2] Track Temp 25 °C (77 °F) dropping to 19 °C (66 °F)[2]",1,0,1,0,1,Street circuit,Clockwise,5.278,58.0,306.124,89013.0,104284.0,96979.33333333331,23,4,27,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +12.0,18,13,0.0,57,,32.0,16.0,91415.0,208.836,gutierrez,21.0,Mexican,sauber,Swiss,2013,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+1 Lap,0.0,0.0,8.0,0.0,107776.0,107776.0,107776.0,33,22,"Scattered Clouds, Fine and Dry[2] Air Temp 18 °C (64 °F)[2] Track Temp 25 °C (77 °F) dropping to 19 °C (66 °F)[2]",1,0,1,0,1,Street circuit,Clockwise,5.278,58.0,306.124,107776.0,107776.0,107776.0,22,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +10.0,3,5,10.0,58,5448786.0,45.0,5.0,89759.0,212.689,hamilton,44.0,British,mercedes,German,2013,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,10.0,4.0,0.0,105456.0,96625.0,88087.0,39,28,"Scattered Clouds, Fine and Dry[2] Air Temp 18 °C (64 °F)[2] Track Temp 25 °C (77 °F) dropping to 19 °C (66 °F)[2]",1,0,1,0,1,Street circuit,Clockwise,5.278,58.0,306.124,88087.0,105456.0,96722.66666666669,22,6,111,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,112.0,80.0,79.0,81.0,78.0 +22.0,19,15,0.0,57,,52.0,11.0,90454.0,211.055,jules_bianchi,17.0,French,marussia,Russian,2013,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+1 Lap,0.0,0.0,10.0,0.0,108147.0,108147.0,108147.0,35,24,"Scattered Clouds, Fine and Dry[2] Air Temp 18 °C (64 °F)[2] Track Temp 25 °C (77 °F) dropping to 19 °C (66 °F)[2]",1,0,1,0,1,Street circuit,Clockwise,5.278,58.0,306.124,108147.0,108147.0,108147.0,24,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +4.0,4,4,12.0,58,5436802.0,38.0,8.0,90239.0,211.558,massa,19.0,Brazilian,ferrari,Italian,2013,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,30.0,1.0,0.0,104635.0,96666.0,88490.0,43,32,"Scattered Clouds, Fine and Dry[2] Air Temp 18 °C (64 °F)[2] Track Temp 25 °C (77 °F) dropping to 19 °C (66 °F)[2]",1,0,1,0,1,Street circuit,Clockwise,5.278,58.0,306.124,88490.0,104635.0,96597.0,25,7,122,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,123.0,88.0,82.0,85.0,83.0 +6.0,15,11,0.0,58,5486592.0,46.0,6.0,89926.0,212.294,perez,11.0,Mexican,mclaren,British,2013,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,2.0,6.0,0.0,104400.0,99900.0,99900.0,34,23,"Scattered Clouds, Fine and Dry[2] Air Temp 18 °C (64 °F)[2] Track Temp 25 °C (77 °F) dropping to 19 °C (66 °F)[2]",1,0,1,0,1,Street circuit,Clockwise,5.278,58.0,306.124,99900.0,104400.0,101400.0,21,2,39,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +20.0,22,16,0.0,56,,55.0,19.0,92261.0,206.921,pic,40.0,French,caterham,Malaysian,2013,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+2 Laps,0.0,0.0,11.0,0.0,110626.0,110626.0,110626.0,34,23,"Scattered Clouds, Fine and Dry[2] Air Temp 18 °C (64 °F)[2] Track Temp 25 °C (77 °F) dropping to 19 °C (66 °F)[2]",1,0,1,0,1,Street circuit,Clockwise,5.278,58.0,306.124,110626.0,110626.0,110626.0,22,1,21,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +7.0,7,1,25.0,58,5403225.0,56.0,1.0,89274.0,213.845,raikkonen,7.0,Finnish,lotus_f1,British,2013,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,26.0,2.0,1.0,105545.0,97517.0,88738.0,45,34,"Scattered Clouds, Fine and Dry[2] Air Temp 18 °C (64 °F)[2] Track Temp 25 °C (77 °F) dropping to 19 °C (66 °F)[2]",1,0,1,0,1,Street circuit,Clockwise,5.278,58.0,306.124,88738.0,105545.0,97266.66666666669,27,7,91,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,96.0,84.0,79.0,78.0,77.0 +14.0,9,8,4.0,58,5471674.0,56.0,15.0,90894.0,210.033,resta,95.0,British,force_india,Indian,2013,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,10.0,5.0,0.0,105601.0,96901.0,89305.0,38,27,"Scattered Clouds, Fine and Dry[2] Air Temp 18 °C (64 °F)[2] Track Temp 25 °C (77 °F) dropping to 19 °C (66 °F)[2]",1,0,1,0,1,Street circuit,Clockwise,5.278,58.0,306.124,89305.0,105601.0,97269.0,25,2,40,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +15.0,12,7,6.0,58,5468293.0,49.0,13.0,90710.0,210.459,sutil,99.0,German,force_india,Indian,2013,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,10.0,5.0,0.0,107330.0,98134.0,98134.0,41,30,"Scattered Clouds, Fine and Dry[2] Air Temp 18 °C (64 °F)[2] Track Temp 25 °C (77 °F) dropping to 19 °C (66 °F)[2]",1,0,1,0,1,Street circuit,Clockwise,5.278,58.0,306.124,98134.0,107330.0,101199.33333333331,24,6,91,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,96.0,84.0,79.0,78.0,77.0 +18.0,13,12,0.0,58,5487082.0,50.0,2.0,89498.0,213.309,vergne,25.0,French,toro_rosso,Italian,2013,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,0.0,7.0,0.0,104871.0,98778.0,98778.0,34,23,"Scattered Clouds, Fine and Dry[2] Air Temp 18 °C (64 °F)[2] Track Temp 25 °C (77 °F) dropping to 19 °C (66 °F)[2]",1,0,1,0,1,Street circuit,Clockwise,5.278,58.0,306.124,98778.0,104871.0,100809.0,22,1,21,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +1.0,1,3,15.0,58,5425571.0,42.0,10.0,90409.0,211.16,vettel,5.0,German,red_bull,Austrian,2013,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,23.0,3.0,0.0,104657.0,96745.0,87407.0,37,26,"Scattered Clouds, Fine and Dry[2] Air Temp 18 °C (64 °F)[2] Track Temp 25 °C (77 °F) dropping to 19 °C (66 °F)[2]",1,0,1,0,1,Street circuit,Clockwise,5.278,58.0,306.124,87407.0,104657.0,96269.66666666669,20,6,102,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,102.0,87.0,81.0,81.0,79.0 +2.0,2,6,8.0,58,5450025.0,45.0,4.0,89732.0,212.753,webber,91.0,Australian,red_bull,Austrian,2013,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,23.0,3.0,0.0,104472.0,96524.0,87827.0,48,37,"Scattered Clouds, Fine and Dry[2] Air Temp 18 °C (64 °F)[2] Track Temp 25 °C (77 °F) dropping to 19 °C (66 °F)[2]",1,0,1,0,1,Street circuit,Clockwise,5.278,58.0,306.124,87827.0,104472.0,96274.33333333331,30,7,129,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,133.0,90.0,90.0,81.0,84.0 +17.0,18,11,0.0,56,6025291.0,54.0,12.0,101373.0,196.845,bottas,77.0,Finnish,williams,British,2013,2,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,0.0,9.0,0.0,98207.0,98207.0,98207.0,35,24,Light rain clearing to cloudy and dry,1,0,1,1,1,Race circuit,Clockwise,5.543,56.0,310.408,98207.0,98207.0,98207.0,24,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +23.0,21,16,0.0,54,,44.0,19.0,103150.0,193.454,chilton,4.0,British,marussia,Russian,2013,2,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+2 Laps,0.0,0.0,10.0,0.0,99672.0,99672.0,99672.0,33,22,Light rain clearing to cloudy and dry,1,0,1,1,1,Race circuit,Clockwise,5.543,56.0,310.408,99672.0,99672.0,99672.0,22,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +21.0,22,15,0.0,55,,44.0,20.0,103157.0,193.441,garde,32.0,Dutch,caterham,Malaysian,2013,2,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+1 Lap,0.0,0.0,11.0,0.0,99932.0,99932.0,99932.0,39,28,Light rain clearing to cloudy and dry,1,0,1,1,1,Race circuit,Clockwise,5.543,56.0,310.408,99932.0,99932.0,99932.0,28,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +8.0,11,6,8.0,56,5972245.0,37.0,11.0,101226.0,197.131,grosjean,8.0,French,lotus_f1,British,2013,2,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,40.0,2.0,1.0,97363.0,97636.0,97636.0,38,27,Light rain clearing to cloudy and dry,1,0,1,1,1,Race circuit,Clockwise,5.543,56.0,310.408,97363.0,97636.0,97545.0,23,4,28,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +12.0,14,12,0.0,55,,54.0,9.0,100929.0,197.711,gutierrez,21.0,Mexican,sauber,Swiss,2013,2,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+1 Lap,0.0,4.0,6.0,0.0,97707.0,99221.0,99221.0,33,22,Light rain clearing to cloudy and dry,1,0,1,1,1,Race circuit,Clockwise,5.543,56.0,310.408,97707.0,99221.0,98716.33333333331,22,0,2,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +10.0,4,3,15.0,56,5948862.0,32.0,10.0,101001.0,197.57,hamilton,44.0,British,mercedes,German,2013,2,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,37.0,4.0,0.0,97513.0,96517.0,111699.0,39,28,Light rain clearing to cloudy and dry,1,0,1,1,1,Race circuit,Clockwise,5.543,56.0,310.408,96517.0,111699.0,101909.66666666669,22,6,112,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,112.0,80.0,79.0,81.0,78.0 +11.0,12,8,4.0,56,5989725.0,46.0,7.0,100727.0,198.107,hulkenberg,27.0,German,sauber,Swiss,2013,2,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,4.0,6.0,0.0,97931.0,98125.0,98125.0,37,26,Light rain clearing to cloudy and dry,1,0,1,1,1,Race circuit,Clockwise,5.543,56.0,310.408,97931.0,98125.0,98060.33333333331,23,3,41,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +22.0,19,13,0.0,55,,47.0,14.0,102423.0,194.827,jules_bianchi,17.0,French,marussia,Russian,2013,2,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+1 Lap,0.0,0.0,10.0,0.0,98434.0,98434.0,98434.0,35,24,Light rain clearing to cloudy and dry,1,0,1,1,1,Race circuit,Clockwise,5.543,56.0,310.408,98434.0,98434.0,98434.0,24,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +4.0,2,5,10.0,56,5962329.0,50.0,2.0,99805.0,199.937,massa,19.0,Brazilian,ferrari,Italian,2013,2,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,40.0,3.0,0.0,97712.0,96874.0,110587.0,43,32,Light rain clearing to cloudy and dry,1,0,1,1,1,Race circuit,Clockwise,5.543,56.0,310.408,96874.0,110587.0,101724.33333333331,25,7,123,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,123.0,88.0,82.0,85.0,83.0 +6.0,9,9,2.0,56,6009038.0,56.0,1.0,99199.0,201.159,perez,11.0,Mexican,mclaren,British,2013,2,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,4.0,7.0,0.0,97702.0,97342.0,114136.0,34,23,Light rain clearing to cloudy and dry,1,0,1,1,1,Race circuit,Clockwise,5.543,56.0,310.408,97342.0,114136.0,103060.0,21,2,40,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +20.0,20,14,0.0,55,,51.0,17.0,102942.0,193.845,pic,40.0,French,caterham,Malaysian,2013,2,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+1 Lap,0.0,0.0,11.0,0.0,99314.0,99314.0,99314.0,34,23,Light rain clearing to cloudy and dry,1,0,1,1,1,Race circuit,Clockwise,5.543,56.0,310.408,99314.0,99314.0,99314.0,22,1,22,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +7.0,10,7,6.0,56,5985160.0,37.0,13.0,101769.0,196.079,raikkonen,7.0,Finnish,lotus_f1,British,2013,2,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,1.0,40.0,2.0,1.0,96959.0,96640.0,112970.0,45,34,Light rain clearing to cloudy and dry,1,0,1,1,1,Race circuit,Clockwise,5.543,56.0,310.408,96640.0,112970.0,102189.66666666669,27,7,92,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,96.0,84.0,79.0,78.0,77.0 +9.0,6,4,12.0,56,5949321.0,44.0,8.0,100755.0,198.052,rosberg,6.0,German,mercedes,German,2013,2,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,37.0,4.0,0.0,97239.0,96190.0,112519.0,39,28,Light rain clearing to cloudy and dry,1,0,1,1,1,Race circuit,Clockwise,5.543,56.0,310.408,96190.0,112519.0,101982.66666666669,21,7,130,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,133.0,90.0,90.0,81.0,84.0 +18.0,17,10,1.0,56,6023805.0,45.0,4.0,100492.0,198.571,vergne,25.0,French,toro_rosso,Italian,2013,2,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,1.0,8.0,0.0,98157.0,98157.0,98157.0,34,23,Light rain clearing to cloudy and dry,1,0,1,1,1,Race circuit,Clockwise,5.543,56.0,310.408,98157.0,98157.0,98157.0,22,1,22,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +1.0,1,1,25.0,56,5936681.0,45.0,3.0,100446.0,198.661,vettel,5.0,German,red_bull,Austrian,2013,2,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,66.0,1.0,1.0,97899.0,97245.0,109674.0,37,26,Light rain clearing to cloudy and dry,1,0,1,1,1,Race circuit,Clockwise,5.543,56.0,310.408,97245.0,109674.0,101606.0,20,6,103,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,102.0,87.0,81.0,81.0,79.0 +2.0,5,2,18.0,56,5940979.0,45.0,6.0,100685.0,198.19,webber,91.0,Australian,red_bull,Austrian,2013,2,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,66.0,1.0,1.0,97619.0,96449.0,112244.0,48,37,Light rain clearing to cloudy and dry,1,0,1,1,1,Race circuit,Clockwise,5.543,56.0,310.408,96449.0,112244.0,102104.0,30,7,130,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,133.0,90.0,90.0,81.0,84.0 +3.0,3,1,25.0,56,5786945.0,46.0,4.0,99506.0,197.21,alonso,14.0,Spanish,ferrari,Italian,2013,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,73.0,2.0,0.0,96253.0,95148.0,94788.0,43,32,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.451,56.0,305.066,94788.0,96253.0,95396.33333333331,25,7,131,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,133.0,90.0,90.0,81.0,84.0 +17.0,16,13,0.0,56,5880806.0,53.0,3.0,98200.0,199.832,bottas,77.0,Finnish,williams,British,2013,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,0.0,9.0,0.0,97769.0,97769.0,97769.0,35,24,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.451,56.0,305.066,97769.0,97769.0,97769.0,24,0,3,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +5.0,8,5,10.0,56,5822230.0,56.0,2.0,98058.0,200.122,button,22.0,British,mclaren,British,2013,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,14.0,5.0,0.0,96667.0,95784.0,125673.0,44,33,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.451,56.0,305.066,95784.0,125673.0,106041.33333333331,26,7,131,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,133.0,90.0,90.0,81.0,84.0 +23.0,19,17,0.0,55,,39.0,16.0,101978.0,192.429,chilton,4.0,British,marussia,Russian,2013,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+1 Lap,0.0,0.0,10.0,0.0,99537.0,99537.0,99537.0,33,22,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.451,56.0,305.066,99537.0,99537.0,99537.0,22,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,58.0,72.0,78.0,73.0,72.0 +21.0,21,18,0.0,55,,42.0,18.0,102357.0,191.717,garde,32.0,Dutch,caterham,Malaysian,2013,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+1 Lap,0.0,0.0,11.0,0.0,99660.0,99660.0,99660.0,39,28,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.451,56.0,305.066,99660.0,99660.0,99660.0,28,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,58.0,72.0,78.0,73.0,72.0 +8.0,6,9,2.0,56,5840368.0,55.0,11.0,100563.0,195.137,grosjean,8.0,French,lotus_f1,British,2013,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,60.0,3.0,1.0,96929.0,96065.0,95364.0,38,27,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.451,56.0,305.066,95364.0,96929.0,96119.33333333331,23,4,29,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +10.0,1,3,15.0,56,5799267.0,50.0,6.0,99981.0,196.273,hamilton,44.0,British,mercedes,German,2013,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,52.0,4.0,0.0,95793.0,95078.0,94484.0,39,28,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.451,56.0,305.066,94484.0,95793.0,95118.33333333331,22,6,113,1,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,112.0,80.0,79.0,81.0,78.0 +11.0,10,10,1.0,56,5843543.0,31.0,12.0,100630.0,195.007,hulkenberg,27.0,German,sauber,Swiss,2013,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,5.0,8.0,0.0,96985.0,96261.0,96261.0,37,26,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.451,56.0,305.066,96261.0,96985.0,96502.33333333331,23,3,42,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +22.0,18,15,0.0,55,,35.0,15.0,101537.0,193.265,jules_bianchi,17.0,French,marussia,Russian,2013,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+1 Lap,0.0,0.0,10.0,0.0,98780.0,98780.0,98780.0,35,24,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.451,56.0,305.066,98780.0,98780.0,98780.0,24,0,3,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +16.0,14,14,0.0,56,5882398.0,54.0,13.0,100968.0,194.354,maldonado,13.0,Venezuelan,williams,British,2013,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,0.0,9.0,0.0,97281.0,97139.0,97139.0,39,28,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.451,56.0,305.066,97139.0,97281.0,97186.33333333331,26,2,42,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +4.0,5,6,8.0,56,5827772.0,55.0,10.0,100284.0,195.68,massa,19.0,Brazilian,ferrari,Italian,2013,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,73.0,2.0,1.0,95972.0,95403.0,94933.0,43,32,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.451,56.0,305.066,94933.0,95972.0,95436.0,25,7,124,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,123.0,88.0,82.0,85.0,83.0 +6.0,12,11,0.0,56,5850805.0,55.0,14.0,101281.0,193.754,perez,11.0,Mexican,mclaren,British,2013,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,14.0,5.0,0.0,96952.0,96314.0,96314.0,34,23,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.451,56.0,305.066,96314.0,96952.0,96526.66666666669,21,2,41,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +20.0,20,16,0.0,55,,48.0,17.0,101997.0,192.393,pic,40.0,French,caterham,Malaysian,2013,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+1 Lap,0.0,0.0,11.0,0.0,99614.0,99614.0,99614.0,34,23,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.451,56.0,305.066,99614.0,99614.0,99614.0,22,1,23,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +7.0,2,2,18.0,56,5797113.0,51.0,5.0,99955.0,196.324,raikkonen,7.0,Finnish,lotus_f1,British,2013,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,1.0,60.0,3.0,1.0,97046.0,95659.0,94761.0,45,34,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.451,56.0,305.066,94761.0,97046.0,95822.0,27,7,93,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,96.0,84.0,79.0,78.0,77.0 +14.0,11,8,4.0,56,5838029.0,55.0,7.0,100101.0,196.038,resta,95.0,British,force_india,Indian,2013,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,14.0,6.0,0.0,97478.0,96287.0,96287.0,38,27,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.451,56.0,305.066,96287.0,97478.0,96684.0,25,2,42,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +19.0,7,7,6.0,56,5829636.0,55.0,9.0,100240.0,195.766,ricciardo,3.0,Australian,toro_rosso,Italian,2013,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,7.0,7.0,0.0,96993.0,96258.0,95998.0,35,24,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.451,56.0,305.066,95998.0,96993.0,96416.33333333331,22,2,34,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +18.0,15,12,0.0,56,5859549.0,56.0,8.0,100138.0,195.965,vergne,25.0,French,toro_rosso,Italian,2013,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,7.0,7.0,0.0,97508.0,97199.0,97199.0,34,23,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.451,56.0,305.066,97199.0,97508.0,97302.0,22,1,23,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +1.0,9,4,12.0,56,5799470.0,53.0,1.0,96808.0,202.706,vettel,5.0,German,red_bull,Austrian,2013,3,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,1.0,78.0,1.0,1.0,96537.0,95343.0,95343.0,37,26,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.451,56.0,305.066,95343.0,96537.0,95741.0,20,6,104,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,107.0,80.0,80.0,79.0,78.0 +3.0,3,8,4.0,57,5798072.0,41.0,3.0,97204.0,200.436,alonso,14.0,Spanish,ferrari,Italian,2013,4,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,1.0,77.0,3.0,1.0,92878.0,93316.0,92667.0,43,32,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,92667.0,93316.0,92953.66666666669,25,7,132,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,133.0,90.0,90.0,81.0,84.0 +17.0,15,14,0.0,57,5842009.0,57.0,9.0,98192.0,198.419,bottas,77.0,Finnish,williams,British,2013,4,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,0.0,9.0,0.0,94425.0,94105.0,94105.0,35,24,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,94105.0,94425.0,94211.66666666669,24,0,4,0,0,0,0,0,0,0,0,0,0,1,0,1,1,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +5.0,10,10,1.0,57,5807129.0,49.0,6.0,97743.0,199.33,button,22.0,British,mclaren,British,2013,4,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,23.0,6.0,0.0,94071.0,93702.0,93702.0,44,33,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,93702.0,94071.0,93825.0,26,7,132,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,1,0,133.0,90.0,90.0,81.0,84.0 +23.0,21,20,0.0,56,,50.0,18.0,99279.0,196.246,chilton,4.0,British,marussia,Russian,2013,4,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,0.0,10.0,0.0,96476.0,96476.0,96476.0,33,22,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,96476.0,96476.0,96476.0,22,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,0,58.0,72.0,78.0,73.0,72.0 +8.0,11,3,15.0,57,5780005.0,52.0,5.0,97627.0,199.567,grosjean,8.0,French,lotus_f1,British,2013,4,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,93.0,2.0,1.0,93498.0,93762.0,93762.0,38,27,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,93498.0,93762.0,93674.0,23,4,30,0,0,0,0,0,1,0,0,1,1,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +12.0,22,18,0.0,56,,45.0,10.0,98202.0,198.399,gutierrez,21.0,Mexican,sauber,Swiss,2013,4,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,5.0,8.0,0.0,94730.0,94730.0,94730.0,33,22,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,94730.0,94730.0,94730.0,22,0,4,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +10.0,9,5,10.0,57,5795728.0,48.0,11.0,98204.0,198.395,hamilton,44.0,British,mercedes,German,2013,4,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,64.0,4.0,0.0,93498.0,93346.0,92762.0,39,28,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,92762.0,93498.0,93202.0,22,6,114,2,0,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,115.0,80.0,78.0,82.0,78.0 +11.0,14,12,0.0,57,5833431.0,43.0,15.0,98770.0,197.258,hulkenberg,27.0,German,sauber,Swiss,2013,4,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,5.0,8.0,0.0,94409.0,93976.0,93976.0,37,26,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,93976.0,94409.0,94120.33333333331,23,3,43,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +22.0,19,19,0.0,56,,50.0,14.0,98756.0,197.286,jules_bianchi,17.0,French,marussia,Russian,2013,4,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,0.0,10.0,0.0,96178.0,96178.0,96178.0,35,24,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,96178.0,96178.0,96178.0,24,0,4,0,0,0,0,0,0,0,0,0,0,0,0,1,0,2,0,0,0,58.0,72.0,78.0,73.0,72.0 +16.0,17,11,0.0,57,5826948.0,57.0,17.0,98962.0,196.875,maldonado,13.0,Venezuelan,williams,British,2013,4,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,0.0,9.0,0.0,94425.0,94425.0,94425.0,39,28,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,94425.0,94425.0,94425.0,26,2,43,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +4.0,4,15,0.0,57,5846862.0,42.0,16.0,98839.0,197.12,massa,19.0,Brazilian,ferrari,Italian,2013,4,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,77.0,3.0,1.0,93780.0,93358.0,93207.0,43,32,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,93207.0,93780.0,93448.33333333331,25,7,125,0,0,0,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,123.0,88.0,82.0,85.0,83.0 +6.0,12,6,8.0,57,5796496.0,41.0,7.0,97913.0,198.984,perez,11.0,Mexican,mclaren,British,2013,4,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,23.0,6.0,0.0,94310.0,93914.0,93914.0,34,23,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,93914.0,94310.0,94046.0,21,2,42,0,0,0,0,0,0,0,0,1,0,2,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +20.0,18,17,0.0,56,,37.0,20.0,99546.0,195.72,pic,40.0,French,caterham,Malaysian,2013,4,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,0.0,11.0,0.0,95283.0,95283.0,95283.0,34,23,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,95283.0,95283.0,95283.0,22,1,24,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,2,0,0,58.0,72.0,78.0,73.0,72.0 +7.0,8,2,18.0,57,5769609.0,57.0,8.0,98164.0,198.476,raikkonen,7.0,Finnish,lotus_f1,British,2013,4,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,1.0,93.0,2.0,1.0,93827.0,93146.0,93327.0,45,34,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,93146.0,93827.0,93433.33333333331,27,7,94,2,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,96.0,84.0,79.0,78.0,77.0 +14.0,5,4,12.0,57,5782225.0,57.0,12.0,98336.0,198.128,resta,95.0,British,force_india,Indian,2013,4,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,26.0,5.0,0.0,93762.0,93335.0,93235.0,38,27,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,93235.0,93762.0,93444.0,25,2,43,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +19.0,13,16,0.0,56,,51.0,21.0,99579.0,195.655,ricciardo,3.0,Australian,toro_rosso,Italian,2013,4,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,7.0,7.0,0.0,94120.0,93974.0,93974.0,35,24,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,93974.0,94120.0,94022.66666666669,22,2,35,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +9.0,1,9,2.0,57,5801624.0,48.0,4.0,97588.0,199.647,rosberg,6.0,German,mercedes,German,2013,4,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,64.0,4.0,0.0,93364.0,92867.0,92330.0,39,28,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,92330.0,93364.0,92853.66666666669,21,7,132,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,133.0,90.0,90.0,81.0,84.0 +15.0,6,13,0.0,57,5837217.0,44.0,2.0,97070.0,200.712,sutil,99.0,German,force_india,Indian,2013,4,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,26.0,5.0,0.0,94048.0,93378.0,93246.0,41,30,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,93246.0,94048.0,93557.33333333331,24,6,94,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,96.0,84.0,79.0,78.0,77.0 +1.0,2,1,25.0,57,5760498.0,55.0,1.0,96961.0,200.938,vettel,5.0,German,red_bull,Austrian,2013,4,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,1.0,109.0,1.0,2.0,93327.0,92746.0,92584.0,37,26,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,92584.0,93327.0,92885.66666666669,20,6,105,2,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,107.0,80.0,80.0,79.0,78.0 +2.0,7,7,6.0,57,5797742.0,52.0,13.0,98557.0,197.684,webber,91.0,Australian,red_bull,Austrian,2013,4,Bahrain Grand Prix,43200000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,109.0,1.0,2.0,93966.0,93098.0,93078.0,48,37,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,93078.0,93966.0,93380.66666666669,30,7,132,1,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,133.0,90.0,90.0,81.0,84.0 +3.0,5,1,25.0,66,5956596.0,53.0,5.0,86681.0,193.329,alonso,14.0,Spanish,ferrari,Italian,2013,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,1.0,117.0,2.0,1.0,82264.0,81646.0,81218.0,43,32,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,81218.0,82264.0,81709.33333333333,25,7,133,2,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,134.0,87.0,90.0,80.0,83.0 +17.0,16,16,0.0,65,,27.0,20.0,89747.0,186.724,bottas,77.0,Finnish,williams,British,2013,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,0.0,9.0,0.0,83260.0,83260.0,83260.0,35,24,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,83260.0,83260.0,83260.0,24,0,5,0,0,0,0,0,0,0,0,0,0,1,0,1,2,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +5.0,14,8,4.0,66,6036102.0,55.0,14.0,87957.0,190.524,button,22.0,British,mclaren,British,2013,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,29.0,6.0,0.0,83166.0,82355.0,82355.0,44,33,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,82355.0,83166.0,82625.33333333333,26,7,133,0,0,0,0,1,0,0,0,1,1,0,0,0,0,0,0,1,0,134.0,87.0,90.0,80.0,83.0 +23.0,21,19,0.0,64,,49.0,15.0,88011.0,190.408,chilton,4.0,British,marussia,Russian,2013,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+2 Laps,0.0,0.0,10.0,0.0,84996.0,84996.0,84996.0,33,22,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,84996.0,84996.0,84996.0,22,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,0,58.0,72.0,78.0,73.0,72.0 +12.0,19,11,0.0,65,,56.0,1.0,86217.0,194.37,gutierrez,21.0,Mexican,sauber,Swiss,2013,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,5.0,8.0,0.0,83218.0,82793.0,82793.0,33,22,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,82793.0,83218.0,82934.66666666667,22,0,5,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +10.0,2,12,0.0,65,,53.0,13.0,87895.0,190.659,hamilton,44.0,British,mercedes,German,2013,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,72.0,4.0,0.0,81728.0,81001.0,80972.0,39,28,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,80972.0,81728.0,81233.66666666667,22,6,115,2,0,2,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,115.0,80.0,78.0,82.0,78.0 +11.0,15,15,0.0,65,,58.0,4.0,86586.0,193.541,hulkenberg,27.0,German,sauber,Swiss,2013,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,5.0,8.0,0.0,83058.0,82389.0,82389.0,37,26,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,82389.0,83058.0,82612.0,23,3,44,0,0,0,0,0,0,0,1,0,1,0,1,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +22.0,20,18,0.0,64,,55.0,18.0,88884.0,188.537,jules_bianchi,17.0,French,marussia,Russian,2013,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+2 Laps,0.0,0.0,10.0,0.0,84713.0,84713.0,84713.0,35,24,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,84713.0,84713.0,84713.0,24,0,5,0,0,0,0,0,0,0,0,0,0,0,0,1,0,2,0,0,0,58.0,72.0,78.0,73.0,72.0 +16.0,17,14,0.0,65,,56.0,12.0,87849.0,190.759,maldonado,13.0,Venezuelan,williams,British,2013,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,0.0,9.0,0.0,83318.0,83318.0,83318.0,39,28,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,83318.0,83318.0,83318.0,26,2,44,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +4.0,9,3,15.0,66,5982645.0,56.0,2.0,86394.0,193.971,massa,19.0,Brazilian,ferrari,Italian,2013,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,117.0,2.0,2.0,82492.0,81978.0,81219.0,43,32,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,81219.0,82492.0,81896.33333333333,25,7,126,0,0,0,1,1,1,0,0,0,0,0,0,0,0,1,0,0,0,130.0,89.0,85.0,82.0,82.0 +6.0,8,9,2.0,66,6038334.0,55.0,10.0,87251.0,192.066,perez,11.0,Mexican,mclaren,British,2013,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,29.0,6.0,0.0,83116.0,81790.0,82069.0,34,23,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,81790.0,83116.0,82325.0,21,2,43,0,0,0,0,0,1,0,0,1,0,2,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +20.0,22,17,0.0,65,,43.0,19.0,89362.0,187.529,pic,40.0,French,caterham,Malaysian,2013,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,0.0,11.0,0.0,85070.0,85070.0,85070.0,34,23,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,85070.0,85070.0,85070.0,22,1,25,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,2,1,0,58.0,72.0,78.0,73.0,72.0 +7.0,4,2,18.0,66,5965934.0,47.0,6.0,86757.0,193.16,raikkonen,7.0,Finnish,lotus_f1,British,2013,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,1.0,111.0,3.0,1.0,82210.0,81676.0,81177.0,45,34,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,81177.0,82210.0,81687.66666666667,27,7,95,3,2,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,96.0,84.0,79.0,78.0,77.0 +14.0,10,7,6.0,66,6025584.0,55.0,7.0,86776.0,193.117,resta,95.0,British,force_india,Indian,2013,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,32.0,5.0,0.0,82663.0,82019.0,82233.0,38,27,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,82019.0,82663.0,82305.0,25,2,44,0,0,0,1,0,0,0,2,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +19.0,11,10,1.0,65,,55.0,16.0,88083.0,190.252,ricciardo,3.0,Australian,toro_rosso,Italian,2013,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,8.0,7.0,0.0,82905.0,82127.0,82127.0,35,24,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,82127.0,82905.0,82386.33333333333,22,2,36,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,1,58.0,72.0,78.0,73.0,72.0 +9.0,1,6,8.0,66,6024616.0,56.0,11.0,87591.0,191.321,rosberg,6.0,German,mercedes,German,2013,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,72.0,4.0,0.0,81913.0,81776.0,80718.0,39,28,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,80718.0,81913.0,81469.0,21,7,133,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,134.0,87.0,90.0,80.0,83.0 +15.0,13,13,0.0,65,,38.0,3.0,86564.0,193.59,sutil,99.0,German,force_india,Indian,2013,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,32.0,5.0,0.0,82952.0,82346.0,82346.0,41,30,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,82346.0,82952.0,82548.0,24,6,95,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,96.0,84.0,79.0,78.0,77.0 +1.0,3,4,12.0,66,5994869.0,55.0,9.0,87036.0,192.541,vettel,5.0,German,red_bull,Austrian,2013,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,2.0,131.0,1.0,2.0,82158.0,81602.0,81054.0,37,26,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,81054.0,82158.0,81604.66666666667,20,6,106,3,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,107.0,80.0,80.0,79.0,78.0 +2.0,7,5,10.0,66,6004559.0,55.0,8.0,87017.0,192.583,webber,91.0,Australian,red_bull,Austrian,2013,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,131.0,1.0,2.0,82342.0,81718.0,81570.0,48,37,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,81570.0,82342.0,81876.66666666667,30,7,133,1,1,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,134.0,87.0,90.0,80.0,83.0 +3.0,6,7,6.0,78,8298790.0,77.0,12.0,79340.0,151.55,alonso,14.0,Spanish,ferrari,Italian,2013,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,2.0,123.0,2.0,2.0,83712.0,76510.0,74824.0,43,32,Warm and sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,74824.0,83712.0,78348.66666666667,25,7,134,3,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,134.0,87.0,90.0,80.0,83.0 +17.0,14,12,0.0,78,8314747.0,68.0,20.0,80921.0,148.589,bottas,77.0,Finnish,williams,British,2013,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,0.0,9.0,0.0,84681.0,79077.0,79077.0,35,24,Warm and sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,79077.0,84681.0,80945.0,24,0,6,0,0,0,0,0,0,0,0,0,0,1,0,1,2,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +5.0,9,6,8.0,78,8295159.0,76.0,8.0,78720.0,152.743,button,22.0,British,mclaren,British,2013,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,37.0,6.0,0.0,83744.0,77420.0,75647.0,44,33,Warm and sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,75647.0,83744.0,78937.0,26,7,134,0,0,0,0,1,0,0,1,1,1,0,0,0,0,0,0,1,0,134.0,87.0,90.0,80.0,83.0 +23.0,22,14,0.0,78,8321941.0,78.0,9.0,79016.0,152.171,chilton,4.0,British,marussia,Russian,2013,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,0.0,10.0,0.0,87303.0,87303.0,87303.0,33,22,Warm and sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,87303.0,87303.0,87303.0,22,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,0,58.0,72.0,78.0,73.0,72.0 +21.0,15,15,0.0,78,8334646.0,50.0,17.0,80494.0,149.377,garde,32.0,Dutch,caterham,Malaysian,2013,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,0.0,11.0,0.0,86095.0,79408.0,79408.0,39,28,Warm and sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,79408.0,86095.0,81637.0,28,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,58.0,72.0,78.0,73.0,72.0 +12.0,19,13,0.0,78,8315268.0,71.0,7.0,78685.0,152.811,gutierrez,21.0,Mexican,sauber,Swiss,2013,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,5.0,8.0,0.0,86917.0,86917.0,86917.0,33,22,Warm and sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,86917.0,86917.0,86917.0,22,0,6,0,0,0,0,0,0,0,0,0,0,1,1,1,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +10.0,2,4,12.0,78,8285950.0,76.0,3.0,78133.0,153.891,hamilton,44.0,British,mercedes,German,2013,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,109.0,4.0,1.0,83779.0,76265.0,73967.0,39,28,Warm and sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,73967.0,83779.0,78003.66666666667,22,6,116,2,0,2,0,2,0,0,0,0,0,0,1,0,0,0,0,0,0,115.0,80.0,78.0,82.0,78.0 +11.0,11,11,0.0,78,8314628.0,29.0,15.0,79853.0,150.576,hulkenberg,27.0,German,sauber,Swiss,2013,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,5.0,8.0,0.0,85547.0,78331.0,78331.0,37,26,Warm and sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,78331.0,85547.0,80736.33333333333,23,3,45,0,0,0,0,0,0,0,1,0,1,0,1,0,0,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +7.0,5,10,1.0,78,8308638.0,78.0,2.0,77392.0,155.364,raikkonen,7.0,Finnish,lotus_f1,British,2013,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,1.0,112.0,3.0,1.0,85835.0,76040.0,74822.0,45,34,Warm and sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,74822.0,85835.0,78899.0,27,7,96,4,3,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,96.0,84.0,79.0,78.0,77.0 +14.0,17,9,2.0,78,8299664.0,77.0,11.0,79215.0,151.789,resta,95.0,British,force_india,Indian,2013,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,44.0,5.0,0.0,86322.0,86322.0,86322.0,38,27,Warm and sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,86322.0,86322.0,86322.0,25,2,45,0,0,0,1,0,0,1,2,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +9.0,1,1,25.0,78,8272056.0,74.0,6.0,78327.0,153.51,rosberg,6.0,German,mercedes,German,2013,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,109.0,4.0,1.0,84620.0,76135.0,73876.0,39,28,Warm and sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,73876.0,84620.0,78210.33333333333,21,7,134,0,0,0,1,0,1,0,0,1,0,0,0,0,0,0,0,0,0,134.0,87.0,90.0,80.0,83.0 +15.0,8,5,10.0,78,8293533.0,74.0,5.0,78292.0,153.578,sutil,99.0,German,force_india,Indian,2013,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,44.0,5.0,0.0,85108.0,77261.0,75383.0,41,30,Warm and sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,75383.0,85108.0,79250.66666666667,24,6,96,0,0,0,0,0,0,1,0,0,0,0,0,2,0,0,0,0,0,96.0,84.0,79.0,78.0,77.0 +18.0,10,8,4.0,78,8299279.0,77.0,10.0,79151.0,151.912,vergne,25.0,French,toro_rosso,Italian,2013,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,12.0,7.0,0.0,83699.0,77623.0,75703.0,34,23,Warm and sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,75703.0,83699.0,79008.33333333333,22,1,26,0,0,0,0,0,0,0,0,0,1,0,2,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +1.0,3,2,18.0,78,8275944.0,77.0,1.0,76577.0,157.018,vettel,5.0,German,red_bull,Austrian,2013,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,2.0,164.0,1.0,2.0,84243.0,75988.0,73980.0,37,26,Warm and sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,73980.0,84243.0,78070.33333333333,20,6,107,3,0,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,107.0,80.0,80.0,79.0,78.0 +2.0,4,3,15.0,78,8278370.0,77.0,4.0,78262.0,153.637,webber,91.0,Australian,red_bull,Austrian,2013,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,164.0,1.0,2.0,85352.0,77322.0,74181.0,48,37,Warm and sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,74181.0,85352.0,78951.66666666667,30,7,134,1,1,0,0,1,1,1,0,0,0,0,0,0,0,0,0,0,0,134.0,87.0,90.0,80.0,83.0 +3.0,6,2,18.0,70,5543551.0,69.0,2.0,76203.0,206.023,alonso,14.0,Spanish,ferrari,Italian,2013,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,2.0,145.0,2.0,2.0,83224.0,88788.0,86504.0,43,32,Mild with temperatures approaching 23 °C (73 °F); wind speeds up to 15 kilometres per hour (9.3 mph)[2],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,83224.0,88788.0,86172.0,25,7,135,3,1,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,134.0,87.0,90.0,80.0,83.0 +17.0,3,14,0.0,69,,63.0,14.0,78004.0,201.266,bottas,77.0,Finnish,williams,British,2013,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,0.0,9.0,0.0,83446.0,88419.0,85897.0,35,24,Mild with temperatures approaching 23 °C (73 °F); wind speeds up to 15 kilometres per hour (9.3 mph)[2],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,83446.0,88419.0,85920.66666666667,24,0,7,0,0,0,0,0,0,0,0,0,0,1,1,1,2,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +5.0,14,12,0.0,69,,68.0,8.0,77458.0,202.685,button,22.0,British,mclaren,British,2013,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,37.0,6.0,0.0,84021.0,90068.0,90068.0,44,33,Mild with temperatures approaching 23 °C (73 °F); wind speeds up to 15 kilometres per hour (9.3 mph)[2],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,84021.0,90068.0,88052.33333333333,26,7,135,0,0,0,0,1,1,0,1,1,1,0,0,0,0,0,0,1,0,134.0,87.0,90.0,80.0,83.0 +23.0,20,19,0.0,67,,67.0,21.0,79566.0,197.315,chilton,4.0,British,marussia,Russian,2013,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+3 Laps,0.0,0.0,10.0,0.0,87062.0,87062.0,87062.0,33,22,Mild with temperatures approaching 23 °C (73 °F); wind speeds up to 15 kilometres per hour (9.3 mph)[2],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,87062.0,87062.0,87062.0,22,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,2,0,58.0,72.0,78.0,73.0,72.0 +8.0,22,13,0.0,69,,62.0,9.0,77607.0,202.296,grosjean,8.0,French,lotus_f1,British,2013,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,114.0,4.0,1.0,85716.0,85716.0,85716.0,38,27,Mild with temperatures approaching 23 °C (73 °F); wind speeds up to 15 kilometres per hour (9.3 mph)[2],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,85716.0,85716.0,85716.0,23,4,33,1,0,1,0,0,1,0,0,1,1,0,0,0,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +10.0,2,3,15.0,70,5545085.0,69.0,3.0,76354.0,205.615,hamilton,44.0,British,mercedes,German,2013,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,134.0,3.0,1.0,83801.0,87649.0,85512.0,39,28,Mild with temperatures approaching 23 °C (73 °F); wind speeds up to 15 kilometres per hour (9.3 mph)[2],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,83801.0,87649.0,85654.0,22,6,117,2,0,2,1,2,0,0,0,0,0,0,1,0,0,0,0,0,0,115.0,80.0,78.0,82.0,78.0 +22.0,19,17,0.0,68,,68.0,17.0,78873.0,199.049,jules_bianchi,17.0,French,marussia,Russian,2013,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+2 Laps,0.0,0.0,10.0,0.0,86508.0,86508.0,86508.0,35,24,Mild with temperatures approaching 23 °C (73 °F); wind speeds up to 15 kilometres per hour (9.3 mph)[2],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,86508.0,86508.0,86508.0,24,0,7,0,0,0,0,0,0,0,0,0,0,0,0,1,0,2,0,0,1,58.0,72.0,78.0,73.0,72.0 +16.0,13,16,0.0,68,,68.0,15.0,78105.0,201.006,maldonado,13.0,Venezuelan,williams,British,2013,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+2 Laps,0.0,0.0,9.0,0.0,84776.0,89917.0,89917.0,39,28,Mild with temperatures approaching 23 °C (73 °F); wind speeds up to 15 kilometres per hour (9.3 mph)[2],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,84776.0,89917.0,88203.33333333333,26,2,46,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +4.0,16,8,4.0,69,,69.0,6.0,76939.0,204.052,massa,19.0,Brazilian,ferrari,Italian,2013,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,145.0,2.0,2.0,83735.0,90354.0,90354.0,43,32,Mild with temperatures approaching 23 °C (73 °F); wind speeds up to 15 kilometres per hour (9.3 mph)[2],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,83735.0,90354.0,88147.66666666667,25,7,128,1,0,1,1,1,1,0,0,0,0,0,0,0,0,1,0,0,0,133.0,90.0,90.0,81.0,84.0 +6.0,12,11,0.0,69,,69.0,7.0,77369.0,202.918,perez,11.0,Mexican,mclaren,British,2013,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,37.0,6.0,0.0,84176.0,89761.0,89761.0,34,23,Mild with temperatures approaching 23 °C (73 °F); wind speeds up to 15 kilometres per hour (9.3 mph)[2],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,84176.0,89761.0,87899.33333333333,21,2,45,0,0,0,0,0,1,0,0,2,0,2,0,0,0,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +20.0,18,18,0.0,67,,60.0,19.0,79380.0,197.777,pic,40.0,French,caterham,Malaysian,2013,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+3 Laps,0.0,0.0,11.0,0.0,85626.0,85626.0,85626.0,34,23,Mild with temperatures approaching 23 °C (73 °F); wind speeds up to 15 kilometres per hour (9.3 mph)[2],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,85626.0,85626.0,85626.0,22,1,27,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,2,2,0,58.0,72.0,78.0,73.0,72.0 +7.0,10,9,2.0,69,,61.0,11.0,77766.0,201.882,raikkonen,7.0,Finnish,lotus_f1,British,2013,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,1.0,114.0,4.0,1.0,84451.0,88667.0,87432.0,45,34,Mild with temperatures approaching 23 °C (73 °F); wind speeds up to 15 kilometres per hour (9.3 mph)[2],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,84451.0,88667.0,86850.0,27,7,97,4,3,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,100.0,83.0,81.0,81.0,78.0 +14.0,17,7,6.0,69,,63.0,12.0,77841.0,201.688,resta,95.0,British,force_india,Indian,2013,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,51.0,5.0,0.0,84908.0,84908.0,84908.0,38,27,Mild with temperatures approaching 23 °C (73 °F); wind speeds up to 15 kilometres per hour (9.3 mph)[2],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,84908.0,84908.0,84908.0,25,2,46,0,0,0,1,0,0,1,2,1,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +19.0,11,15,0.0,68,,68.0,16.0,78257.0,200.615,ricciardo,3.0,Australian,toro_rosso,Italian,2013,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+2 Laps,0.0,20.0,7.0,0.0,84770.0,89359.0,87946.0,35,24,Mild with temperatures approaching 23 °C (73 °F); wind speeds up to 15 kilometres per hour (9.3 mph)[2],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,84770.0,89359.0,87358.33333333333,22,2,38,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,1,0,2,72.0,76.0,76.0,76.0,74.0 +9.0,4,5,10.0,70,5598868.0,70.0,4.0,76534.0,205.132,rosberg,6.0,German,mercedes,German,2013,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,1.0,134.0,3.0,1.0,83840.0,88420.0,86008.0,39,28,Mild with temperatures approaching 23 °C (73 °F); wind speeds up to 15 kilometres per hour (9.3 mph)[2],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,83840.0,88420.0,86089.33333333333,21,7,135,1,0,0,1,0,1,0,0,1,0,0,0,0,0,0,0,0,0,134.0,87.0,90.0,80.0,83.0 +15.0,8,10,1.0,69,,68.0,10.0,77694.0,202.069,sutil,99.0,German,force_india,Indian,2013,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,51.0,5.0,0.0,84551.0,88799.0,87348.0,41,30,Mild with temperatures approaching 23 °C (73 °F); wind speeds up to 15 kilometres per hour (9.3 mph)[2],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,84551.0,88799.0,86899.33333333333,24,6,97,0,0,0,0,1,0,1,0,0,0,0,0,2,0,0,0,0,0,100.0,83.0,81.0,81.0,78.0 +18.0,7,6,8.0,69,,61.0,13.0,77909.0,201.512,vergne,25.0,French,toro_rosso,Italian,2013,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,20.0,7.0,0.0,84159.0,88527.0,86543.0,34,23,Mild with temperatures approaching 23 °C (73 °F); wind speeds up to 15 kilometres per hour (9.3 mph)[2],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,84159.0,88527.0,86409.66666666667,22,1,27,0,0,0,0,0,0,0,1,0,1,0,2,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +1.0,1,1,25.0,70,5529143.0,55.0,5.0,76561.0,205.06,vettel,5.0,German,red_bull,Austrian,2013,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,2.0,201.0,1.0,3.0,82318.0,88166.0,85425.0,37,26,Mild with temperatures approaching 23 °C (73 °F); wind speeds up to 15 kilometres per hour (9.3 mph)[2],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,82318.0,88166.0,85303.0,20,6,108,4,1,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,107.0,80.0,80.0,79.0,78.0 +2.0,5,4,12.0,70,5554874.0,69.0,1.0,76182.0,206.08,webber,91.0,Australian,red_bull,Austrian,2013,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,201.0,1.0,3.0,83247.0,88145.0,86208.0,48,37,Mild with temperatures approaching 23 °C (73 °F); wind speeds up to 15 kilometres per hour (9.3 mph)[2],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,83247.0,88145.0,85866.66666666667,30,7,135,2,1,1,0,1,1,1,0,0,0,0,0,0,0,0,0,0,0,134.0,87.0,90.0,80.0,83.0 +3.0,9,3,15.0,52,5586580.0,50.0,3.0,94090.0,225.396,alonso,14.0,Spanish,ferrari,Italian,2013,8,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,2.0,168.0,3.0,2.0,92266.0,91387.0,90979.0,43,32,Dry,0,0,1,0,0,Race circuit,Clockwise,5.891,52.0,306.198,90979.0,92266.0,91544.0,25,7,136,4,2,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,134.0,87.0,90.0,80.0,83.0 +17.0,16,12,0.0,52,5604550.0,52.0,15.0,96312.0,220.196,bottas,77.0,Finnish,williams,British,2013,8,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,0.0,9.0,0.0,92664.0,92664.0,92664.0,35,24,Dry,0,0,1,0,0,Race circuit,Clockwise,5.891,52.0,306.198,92664.0,92664.0,92664.0,24,0,8,0,0,0,0,0,0,0,0,0,0,1,1,1,3,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +5.0,10,13,0.0,52,5605425.0,39.0,16.0,96356.0,220.096,button,22.0,British,mclaren,British,2013,8,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,37.0,6.0,0.0,91979.0,91649.0,91649.0,44,33,Dry,0,0,1,0,0,Race circuit,Clockwise,5.891,52.0,306.198,91649.0,91979.0,91759.0,26,7,136,0,0,0,0,1,1,0,1,1,1,0,1,0,0,0,0,1,0,134.0,87.0,90.0,80.0,83.0 +23.0,20,17,0.0,52,5647116.0,50.0,22.0,99156.0,213.881,chilton,4.0,British,marussia,Russian,2013,8,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,0.0,10.0,0.0,95858.0,95858.0,95858.0,33,22,Dry,0,0,1,0,0,Race circuit,Clockwise,5.891,52.0,306.198,95858.0,95858.0,95858.0,22,0,8,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,2,0,58.0,72.0,78.0,73.0,72.0 +21.0,22,18,0.0,52,5647215.0,50.0,21.0,98722.0,214.821,garde,32.0,Dutch,caterham,Malaysian,2013,8,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,0.0,11.0,0.0,95481.0,95481.0,95481.0,39,28,Dry,0,0,1,0,0,Race circuit,Clockwise,5.891,52.0,306.198,95481.0,95481.0,95481.0,28,0,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,2,58.0,72.0,78.0,73.0,72.0 +12.0,17,14,0.0,52,5605741.0,32.0,17.0,96439.0,219.906,gutierrez,21.0,Mexican,sauber,Swiss,2013,8,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,6.0,8.0,0.0,92666.0,92666.0,92666.0,33,22,Dry,0,0,1,0,0,Race circuit,Clockwise,5.891,52.0,306.198,92666.0,92666.0,92666.0,22,0,8,0,0,0,0,0,0,0,0,0,0,1,1,2,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +10.0,1,4,12.0,52,5587212.0,51.0,4.0,94159.0,225.231,hamilton,44.0,British,mercedes,German,2013,8,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,171.0,2.0,2.0,90995.0,91224.0,89607.0,39,28,Dry,0,0,1,0,0,Race circuit,Clockwise,5.891,52.0,306.198,89607.0,91224.0,90608.66666666669,22,6,118,3,0,3,1,2,0,0,0,0,0,0,1,0,0,0,0,0,0,115.0,80.0,78.0,82.0,78.0 +11.0,14,10,1.0,52,5599165.0,48.0,13.0,96013.0,220.882,hulkenberg,27.0,German,sauber,Swiss,2013,8,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,6.0,8.0,0.0,92168.0,92211.0,92211.0,37,26,Dry,0,0,1,0,0,Race circuit,Clockwise,5.891,52.0,306.198,92168.0,92211.0,92196.66666666669,23,3,47,0,0,0,0,0,0,0,1,0,1,1,1,0,0,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +22.0,19,16,0.0,52,5615553.0,51.0,19.0,97978.0,216.452,jules_bianchi,17.0,French,marussia,Russian,2013,8,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,0.0,10.0,0.0,94108.0,94108.0,94108.0,35,24,Dry,0,0,1,0,0,Race circuit,Clockwise,5.891,52.0,306.198,94108.0,94108.0,94108.0,24,0,8,0,0,0,0,0,0,0,0,0,0,0,0,1,0,2,0,1,1,58.0,72.0,78.0,73.0,72.0 +16.0,15,11,0.0,52,5600591.0,52.0,10.0,95907.0,221.126,maldonado,13.0,Venezuelan,williams,British,2013,8,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,0.0,9.0,0.0,92512.0,92359.0,92359.0,39,28,Dry,0,0,1,0,0,Race circuit,Clockwise,5.891,52.0,306.198,92359.0,92512.0,92410.0,26,2,47,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +4.0,11,6,8.0,52,5594029.0,51.0,6.0,95273.0,222.598,massa,19.0,Brazilian,ferrari,Italian,2013,8,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,168.0,3.0,2.0,92241.0,91779.0,91779.0,43,32,Dry,0,0,1,0,0,Race circuit,Clockwise,5.891,52.0,306.198,91779.0,92241.0,91933.0,25,7,129,1,0,1,1,1,1,0,1,0,0,0,0,0,0,1,0,0,0,133.0,90.0,90.0,81.0,84.0 +20.0,18,15,0.0,52,5611069.0,52.0,18.0,97091.0,218.43,pic,40.0,French,caterham,Malaysian,2013,8,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,0.0,11.0,0.0,93866.0,93866.0,93866.0,34,23,Dry,0,0,1,0,0,Race circuit,Clockwise,5.891,52.0,306.198,93866.0,93866.0,93866.0,22,1,28,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,2,2,1,58.0,72.0,78.0,73.0,72.0 +7.0,8,5,10.0,52,5590713.0,49.0,8.0,95384.0,222.339,raikkonen,7.0,Finnish,lotus_f1,British,2013,8,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,1.0,124.0,4.0,1.0,91400.0,91592.0,90962.0,45,34,Dry,0,0,1,0,0,Race circuit,Clockwise,5.891,52.0,306.198,90962.0,91592.0,91318.0,27,7,98,4,3,0,0,0,0,1,0,1,1,0,0,0,0,0,0,0,0,100.0,83.0,81.0,81.0,78.0 +14.0,21,9,2.0,52,5597399.0,52.0,7.0,95330.0,222.465,resta,95.0,British,force_india,Indian,2013,8,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,59.0,5.0,0.0,92062.0,91291.0,90736.0,38,27,Dry,0,0,1,0,0,Race circuit,Clockwise,5.891,52.0,306.198,90736.0,92062.0,91363.0,25,2,47,0,0,0,1,0,0,2,2,1,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +19.0,5,8,4.0,52,5595999.0,37.0,11.0,95927.0,221.08,ricciardo,3.0,Australian,toro_rosso,Italian,2013,8,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,24.0,7.0,0.0,92097.0,91182.0,90757.0,35,24,Dry,0,0,1,0,0,Race circuit,Clockwise,5.891,52.0,306.198,90757.0,92097.0,91345.33333333331,22,2,39,0,0,0,0,0,0,1,0,0,1,0,0,0,0,1,1,0,2,72.0,76.0,76.0,76.0,74.0 +9.0,2,1,25.0,52,5579456.0,50.0,2.0,93531.0,226.744,rosberg,6.0,German,mercedes,German,2013,8,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,1.0,171.0,2.0,2.0,91355.0,91028.0,90059.0,39,28,Dry,0,0,1,0,0,Race circuit,Clockwise,5.891,52.0,306.198,90059.0,91355.0,90814.0,21,7,136,1,0,0,1,1,1,0,0,1,0,0,0,0,0,0,0,0,0,134.0,87.0,90.0,80.0,83.0 +15.0,6,7,6.0,52,5595791.0,35.0,12.0,95961.0,221.002,sutil,99.0,German,force_india,Indian,2013,8,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,59.0,5.0,0.0,92002.0,91097.0,90908.0,41,30,Dry,0,0,1,0,0,Race circuit,Clockwise,5.891,52.0,306.198,90908.0,92002.0,91335.66666666669,24,6,98,0,0,0,0,1,0,1,0,0,1,0,0,2,0,0,0,0,0,100.0,83.0,81.0,81.0,78.0 +2.0,4,2,18.0,52,5580221.0,52.0,1.0,93401.0,227.059,webber,91.0,Australian,red_bull,Austrian,2013,8,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,219.0,1.0,3.0,91605.0,91002.0,90220.0,48,37,Dry,0,0,1,0,0,Race circuit,Clockwise,5.891,52.0,306.198,90220.0,91605.0,90942.33333333331,30,7,136,2,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,134.0,87.0,90.0,80.0,83.0 +3.0,8,4,12.0,60,6082432.0,51.0,1.0,93468.0,198.279,alonso,14.0,Spanish,ferrari,Italian,2013,9,German Grand Prix,43200000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,Finished,2.0,180.0,3.0,2.0,90709.0,89962.0,91209.0,43,32,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.148,60.0,308.617,89962.0,91209.0,90626.66666666669,25,7,137,5,2,1,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,134.0,87.0,90.0,80.0,83.0 +17.0,17,16,0.0,59,,56.0,3.0,93972.0,197.216,bottas,77.0,Finnish,williams,British,2013,9,German Grand Prix,43200000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,+1 Lap,0.0,0.0,9.0,0.0,91693.0,91693.0,91693.0,35,24,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.148,60.0,308.617,91693.0,91693.0,91693.0,24,0,9,0,0,0,0,0,0,0,0,0,0,1,2,1,3,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +5.0,9,6,8.0,60,6102707.0,49.0,7.0,94201.0,196.736,button,22.0,British,mclaren,British,2013,9,German Grand Prix,43200000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,Finished,0.0,49.0,6.0,0.0,91181.0,90269.0,90269.0,44,33,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.148,60.0,308.617,90269.0,91181.0,90573.0,26,7,137,0,0,0,0,1,1,0,1,1,1,0,1,1,0,0,0,1,0,134.0,87.0,90.0,80.0,83.0 +23.0,21,19,0.0,59,,47.0,18.0,98383.0,188.374,chilton,4.0,British,marussia,Russian,2013,9,German Grand Prix,43200000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,+1 Lap,0.0,0.0,10.0,0.0,94098.0,94098.0,94098.0,33,22,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.148,60.0,308.617,94098.0,94098.0,94098.0,22,0,9,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,3,0,58.0,72.0,78.0,73.0,72.0 +21.0,20,18,0.0,59,,40.0,19.0,98509.0,188.133,garde,32.0,Dutch,caterham,Malaysian,2013,9,German Grand Prix,43200000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,+1 Lap,0.0,0.0,11.0,0.0,93734.0,93734.0,93734.0,39,28,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.148,60.0,308.617,93734.0,93734.0,93734.0,28,0,9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,3,58.0,72.0,78.0,73.0,72.0 +8.0,5,3,15.0,60,6080541.0,57.0,10.0,94576.0,195.956,grosjean,8.0,French,lotus_f1,British,2013,9,German Grand Prix,43200000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,Finished,0.0,157.0,4.0,1.0,91242.0,90005.0,89959.0,38,27,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.148,60.0,308.617,89959.0,91242.0,90402.0,23,4,35,1,0,1,0,0,1,0,0,1,1,0,0,1,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +12.0,14,14,0.0,60,6134871.0,56.0,12.0,95792.0,193.469,gutierrez,21.0,Mexican,sauber,Swiss,2013,9,German Grand Prix,43200000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,Finished,0.0,7.0,8.0,0.0,91681.0,91010.0,91010.0,33,22,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.148,60.0,308.617,91010.0,91681.0,91233.66666666669,22,0,9,0,0,0,0,0,0,0,0,0,0,1,1,2,1,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +10.0,1,5,10.0,60,6101638.0,57.0,4.0,94156.0,196.83,hamilton,44.0,British,mercedes,German,2013,9,German Grand Prix,43200000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,Finished,0.0,183.0,2.0,2.0,91131.0,90152.0,89398.0,39,28,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.148,60.0,308.617,89398.0,91131.0,90227.0,22,6,119,3,0,3,2,2,0,0,0,0,0,0,1,0,0,0,0,0,0,115.0,80.0,78.0,82.0,78.0 +11.0,10,10,1.0,60,6124603.0,58.0,8.0,94244.0,196.647,hulkenberg,27.0,German,sauber,Swiss,2013,9,German Grand Prix,43200000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,Finished,0.0,7.0,8.0,0.0,91132.0,90231.0,90231.0,37,26,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.148,60.0,308.617,90231.0,91132.0,90531.33333333331,23,3,48,0,0,0,0,0,0,0,1,0,2,1,1,0,0,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +16.0,18,15,0.0,60,6136640.0,56.0,9.0,94293.0,196.544,maldonado,13.0,Venezuelan,williams,British,2013,9,German Grand Prix,43200000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,Finished,0.0,0.0,9.0,0.0,91707.0,91707.0,91707.0,39,28,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.148,60.0,308.617,91707.0,91707.0,91707.0,26,2,48,0,0,0,0,0,0,0,0,0,0,2,0,0,2,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +6.0,13,8,4.0,60,6113017.0,50.0,15.0,96134.0,192.78,perez,11.0,Mexican,mclaren,British,2013,9,German Grand Prix,43200000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,Finished,0.0,49.0,6.0,0.0,91498.0,90933.0,90933.0,34,23,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.148,60.0,308.617,90933.0,91498.0,91121.33333333331,21,2,47,0,0,0,0,0,1,0,0,2,0,3,0,0,0,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +20.0,22,17,0.0,59,,51.0,17.0,97584.0,189.916,pic,40.0,French,caterham,Malaysian,2013,9,German Grand Prix,43200000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,+1 Lap,0.0,0.0,11.0,0.0,92937.0,92937.0,92937.0,34,23,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.148,60.0,308.617,92937.0,92937.0,92937.0,22,1,29,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,2,2,1,58.0,72.0,78.0,73.0,72.0 +7.0,4,2,18.0,60,6075719.0,57.0,2.0,93767.0,197.647,raikkonen,7.0,Finnish,lotus_f1,British,2013,9,German Grand Prix,43200000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,Finished,1.0,157.0,4.0,1.0,90676.0,89852.0,89892.0,45,34,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.148,60.0,308.617,89852.0,90676.0,90140.0,27,7,99,4,3,0,0,1,0,1,0,1,1,0,0,0,0,0,0,0,0,100.0,83.0,81.0,81.0,78.0 +14.0,12,11,0.0,60,6128482.0,43.0,16.0,96566.0,191.918,resta,95.0,British,force_india,Indian,2013,9,German Grand Prix,43200000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,Finished,0.0,59.0,5.0,0.0,91322.0,90697.0,90697.0,38,27,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.148,60.0,308.617,90697.0,91322.0,90905.33333333331,25,2,48,0,0,0,1,0,0,2,2,2,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +19.0,6,12,0.0,60,6131686.0,58.0,14.0,95982.0,193.086,ricciardo,3.0,Australian,toro_rosso,Italian,2013,9,German Grand Prix,43200000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,Finished,0.0,24.0,7.0,0.0,91081.0,90223.0,90528.0,35,24,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.148,60.0,308.617,90223.0,91081.0,90610.66666666669,22,2,40,0,0,0,0,0,0,1,1,0,1,0,0,0,0,1,1,0,2,72.0,76.0,76.0,76.0,74.0 +9.0,11,9,2.0,60,6121532.0,55.0,6.0,94181.0,196.778,rosberg,6.0,German,mercedes,German,2013,9,German Grand Prix,43200000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,Finished,2.0,183.0,2.0,2.0,91322.0,90326.0,90326.0,39,28,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.148,60.0,308.617,90326.0,91322.0,90658.0,21,7,137,2,0,0,1,1,1,0,0,1,0,0,0,0,0,0,0,0,0,134.0,87.0,90.0,80.0,83.0 +15.0,15,13,0.0,60,6132449.0,60.0,13.0,95816.0,193.42,sutil,99.0,German,force_india,Indian,2013,9,German Grand Prix,43200000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,Finished,0.0,59.0,5.0,0.0,91320.0,91010.0,91010.0,41,30,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.148,60.0,308.617,91010.0,91320.0,91113.33333333331,24,6,99,0,0,0,0,1,0,2,0,0,1,0,0,2,0,0,0,0,0,100.0,83.0,81.0,81.0,78.0 +1.0,2,1,25.0,60,6074711.0,59.0,5.0,94164.0,196.814,vettel,5.0,German,red_bull,Austrian,2013,9,German Grand Prix,43200000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,Finished,3.0,250.0,1.0,4.0,91269.0,89992.0,89501.0,37,26,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.148,60.0,308.617,89501.0,91269.0,90254.0,20,6,110,5,1,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,110.0,79.0,79.0,79.0,77.0 +2.0,3,7,6.0,60,6112273.0,55.0,11.0,94782.0,195.53,webber,91.0,Australian,red_bull,Austrian,2013,9,German Grand Prix,43200000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,Finished,0.0,250.0,1.0,4.0,91428.0,90217.0,89608.0,48,37,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.148,60.0,308.617,89608.0,91428.0,90417.66666666669,30,7,137,3,2,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,134.0,87.0,90.0,80.0,83.0 +3.0,5,5,10.0,70,6180856.0,56.0,8.0,85394.0,184.692,alonso,14.0,Spanish,ferrari,Italian,2013,10,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,2.0,194.0,3.0,2.0,80652.0,80183.0,79791.0,43,32,"Very hot and sunny, 35 °C.",1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,79791.0,80652.0,80208.66666666667,25,7,138,5,2,1,1,0,0,1,1,0,0,0,0,0,0,0,0,0,0,137.0,87.0,90.0,80.0,83.0 +5.0,13,7,6.0,70,6203264.0,56.0,11.0,86195.0,182.975,button,22.0,British,mclaren,British,2013,10,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,57.0,6.0,0.0,81131.0,80777.0,80777.0,44,33,"Very hot and sunny, 35 °C.",1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,80777.0,81131.0,80895.0,26,7,138,0,0,0,0,1,2,0,1,1,1,0,1,1,0,0,0,1,0,137.0,87.0,90.0,80.0,83.0 +23.0,22,17,0.0,67,,65.0,19.0,88160.0,178.897,chilton,4.0,British,marussia,Russian,2013,10,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+3 Laps,0.0,0.0,10.0,0.0,83997.0,83997.0,83997.0,33,22,"Very hot and sunny, 35 °C.",1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,83997.0,83997.0,83997.0,22,0,10,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,3,0,58.0,72.0,78.0,73.0,72.0 +21.0,20,14,0.0,68,,47.0,17.0,87473.0,180.302,garde,32.0,Dutch,caterham,Malaysian,2013,10,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+2 Laps,0.0,0.0,11.0,0.0,83333.0,83333.0,83333.0,39,28,"Very hot and sunny, 35 °C.",1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,83333.0,83333.0,83333.0,28,0,10,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,4,58.0,72.0,78.0,73.0,72.0 +8.0,3,6,8.0,70,6201740.0,54.0,7.0,85328.0,184.834,grosjean,8.0,French,lotus_f1,British,2013,10,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,183.0,4.0,1.0,80447.0,80101.0,79595.0,38,27,"Very hot and sunny, 35 °C.",1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,79595.0,80447.0,80047.66666666667,23,4,36,2,0,2,0,0,1,0,0,1,1,0,0,1,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +10.0,1,1,25.0,70,6149445.0,69.0,3.0,84647.0,186.322,hamilton,44.0,British,mercedes,German,2013,10,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,208.0,2.0,3.0,80363.0,79862.0,79388.0,39,28,"Very hot and sunny, 35 °C.",1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,79388.0,80363.0,79871.0,22,6,120,3,0,3,2,3,0,0,0,0,0,0,1,0,0,0,0,0,0,115.0,80.0,78.0,82.0,78.0 +11.0,12,11,0.0,69,,58.0,14.0,86740.0,181.826,hulkenberg,27.0,German,sauber,Swiss,2013,10,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,7.0,8.0,0.0,81028.0,80580.0,80580.0,37,26,"Very hot and sunny, 35 °C.",1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,80580.0,81028.0,80729.33333333333,23,3,49,0,0,0,0,0,0,0,1,0,3,1,1,0,0,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +22.0,21,16,0.0,67,,57.0,20.0,88250.0,178.715,jules_bianchi,17.0,French,marussia,Russian,2013,10,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+3 Laps,0.0,0.0,10.0,0.0,83787.0,83787.0,83787.0,35,24,"Very hot and sunny, 35 °C.",1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,83787.0,83787.0,83787.0,24,0,10,0,0,0,0,0,0,0,0,0,0,0,0,1,0,2,1,1,1,58.0,72.0,78.0,73.0,72.0 +16.0,15,10,1.0,69,,69.0,9.0,85597.0,184.254,maldonado,13.0,Venezuelan,williams,British,2013,10,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,1.0,9.0,0.0,80816.0,81133.0,81133.0,39,28,"Very hot and sunny, 35 °C.",1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,80816.0,81133.0,81027.33333333333,26,2,49,0,0,0,0,0,0,0,0,0,0,2,0,0,2,1,1,0,0,72.0,76.0,76.0,76.0,74.0 +4.0,7,8,4.0,70,6205892.0,59.0,5.0,85176.0,185.164,massa,19.0,Brazilian,ferrari,Italian,2013,10,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,194.0,3.0,2.0,81004.0,80460.0,79929.0,43,32,"Very hot and sunny, 35 °C.",1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,79929.0,81004.0,80464.33333333333,25,7,131,1,0,1,1,1,2,0,1,0,0,0,0,0,0,1,0,0,0,133.0,90.0,90.0,81.0,84.0 +6.0,9,9,2.0,69,,59.0,10.0,86143.0,183.086,perez,11.0,Mexican,mclaren,British,2013,10,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,57.0,6.0,0.0,81612.0,80545.0,82398.0,34,23,"Very hot and sunny, 35 °C.",1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,80545.0,82398.0,81518.33333333333,21,2,48,0,0,0,0,0,1,0,1,2,0,3,0,0,0,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +20.0,19,15,0.0,68,,54.0,18.0,87725.0,179.784,pic,40.0,French,caterham,Malaysian,2013,10,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+2 Laps,0.0,0.0,11.0,0.0,83007.0,83007.0,83007.0,34,23,"Very hot and sunny, 35 °C.",1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,83007.0,83007.0,83007.0,22,1,30,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,2,3,1,58.0,72.0,78.0,73.0,72.0 +7.0,6,2,18.0,70,6160383.0,61.0,6.0,85260.0,184.982,raikkonen,7.0,Finnish,lotus_f1,British,2013,10,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,1.0,183.0,4.0,1.0,80867.0,80243.0,79851.0,45,34,"Very hot and sunny, 35 °C.",1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,79851.0,80867.0,80320.33333333333,27,7,100,5,4,0,0,1,0,1,0,1,1,0,0,0,0,0,0,0,0,100.0,83.0,81.0,81.0,78.0 +19.0,8,13,0.0,69,,58.0,15.0,86863.0,181.568,ricciardo,3.0,Australian,toro_rosso,Italian,2013,10,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,24.0,7.0,0.0,81181.0,80527.0,80641.0,35,24,"Very hot and sunny, 35 °C.",1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,80527.0,81181.0,80783.0,22,2,41,0,0,0,0,0,0,1,1,0,1,0,1,0,0,1,1,0,2,72.0,76.0,76.0,76.0,74.0 +18.0,14,12,0.0,69,,53.0,12.0,86491.0,182.349,vergne,25.0,French,toro_rosso,Italian,2013,10,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,24.0,7.0,0.0,81345.0,81029.0,81029.0,34,23,"Very hot and sunny, 35 °C.",1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,81029.0,81345.0,81134.33333333333,22,1,30,0,0,0,0,0,1,0,1,0,1,0,2,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +1.0,2,3,15.0,70,6161904.0,57.0,2.0,84553.0,186.529,vettel,5.0,German,red_bull,Austrian,2013,10,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,4.0,277.0,1.0,4.0,80646.0,79992.0,79426.0,37,26,"Very hot and sunny, 35 °C.",1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,79426.0,80646.0,80021.33333333333,20,6,111,6,1,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,112.0,80.0,79.0,81.0,78.0 +2.0,10,4,12.0,70,6167489.0,61.0,1.0,84069.0,187.603,webber,91.0,Australian,red_bull,Austrian,2013,10,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,277.0,1.0,4.0,81264.0,80503.0,80503.0,48,37,"Very hot and sunny, 35 °C.",1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,80503.0,81264.0,80756.66666666667,30,7,138,3,2,1,1,1,1,2,0,0,0,0,0,0,0,0,0,0,0,137.0,87.0,90.0,80.0,83.0 +3.0,9,2,18.0,44,5039065.0,36.0,4.0,111383.0,226.375,alonso,14.0,Spanish,ferrari,Italian,2013,11,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,2.0,218.0,3.0,2.0,120190.0,108309.0,123482.0,43,32,Cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,108309.0,123482.0,117327.0,25,7,139,5,2,1,1,1,0,1,1,0,0,0,0,0,0,0,0,0,0,137.0,87.0,90.0,80.0,83.0 +17.0,20,15,0.0,44,5129652.0,31.0,13.0,112688.0,223.754,bottas,77.0,Finnish,williams,British,2013,11,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,1.0,9.0,0.0,123432.0,123432.0,123432.0,35,24,Cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,123432.0,123432.0,123432.0,24,0,11,0,0,0,0,0,0,0,0,0,0,1,2,1,3,0,2,0,0,58.0,72.0,78.0,73.0,72.0 +5.0,6,6,8.0,44,5062990.0,36.0,2.0,110823.0,227.519,button,22.0,British,mclaren,British,2013,11,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,65.0,5.0,0.0,121301.0,108641.0,123075.0,44,33,Cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,108641.0,123075.0,117672.33333333331,26,7,139,0,0,0,0,1,2,1,1,1,1,0,1,1,0,0,0,1,0,137.0,87.0,90.0,80.0,83.0 +23.0,16,19,0.0,42,,31.0,21.0,114924.0,219.4,chilton,4.0,British,marussia,Russian,2013,11,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,+2 Laps,0.0,0.0,10.0,0.0,122948.0,112762.0,112762.0,33,22,Cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,112762.0,122948.0,116157.33333333331,22,0,11,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,4,0,58.0,72.0,78.0,73.0,72.0 +21.0,14,16,0.0,43,,43.0,18.0,113995.0,221.188,garde,32.0,Dutch,caterham,Malaysian,2013,11,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,+1 Lap,0.0,0.0,11.0,0.0,120564.0,112036.0,112036.0,39,28,Cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,112036.0,120564.0,114878.66666666669,28,0,11,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,0,0,4,58.0,72.0,78.0,73.0,72.0 +8.0,7,8,4.0,44,5078042.0,34.0,11.0,112497.0,224.133,grosjean,8.0,French,lotus_f1,British,2013,11,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,187.0,4.0,1.0,122476.0,108649.0,123081.0,38,27,Cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,108649.0,123081.0,118068.66666666669,23,4,37,2,0,2,0,0,2,0,0,1,1,0,0,1,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +12.0,21,14,0.0,44,5122632.0,30.0,8.0,111849.0,225.432,gutierrez,21.0,Mexican,sauber,Swiss,2013,11,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,7.0,8.0,0.0,124324.0,124324.0,124324.0,33,22,Cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,124324.0,124324.0,124324.0,22,0,11,0,0,0,0,0,0,0,0,0,0,1,1,2,2,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +10.0,1,3,15.0,44,5049930.0,39.0,7.0,111596.0,225.943,hamilton,44.0,British,mercedes,German,2013,11,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,1.0,235.0,2.0,3.0,120368.0,109067.0,121012.0,39,28,Cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,109067.0,121012.0,116815.66666666669,22,6,121,4,0,3,2,3,0,0,0,0,0,0,1,0,0,0,0,0,0,123.0,88.0,82.0,85.0,83.0 +11.0,11,13,0.0,44,5110454.0,41.0,15.0,113110.0,222.919,hulkenberg,27.0,German,sauber,Swiss,2013,11,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,7.0,8.0,0.0,121712.0,109088.0,109088.0,37,26,Cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,109088.0,121712.0,113296.0,23,3,50,0,0,0,0,0,0,0,1,0,3,2,1,0,0,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +22.0,15,18,0.0,43,,37.0,20.0,114894.0,219.457,jules_bianchi,17.0,French,marussia,Russian,2013,11,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,+1 Lap,0.0,0.0,10.0,0.0,122110.0,112563.0,112563.0,35,24,Cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,112563.0,122110.0,115745.33333333331,24,0,11,0,0,0,0,0,0,0,0,0,0,0,0,1,0,2,2,1,1,58.0,72.0,78.0,73.0,72.0 +16.0,17,17,0.0,43,,35.0,12.0,112579.0,223.97,maldonado,13.0,Venezuelan,williams,British,2013,11,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,+1 Lap,0.0,1.0,9.0,0.0,123072.0,123072.0,123072.0,39,28,Cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,123072.0,123072.0,123072.0,26,2,50,0,0,0,0,0,0,0,0,0,1,2,0,0,2,1,1,0,0,72.0,76.0,76.0,76.0,74.0 +4.0,10,7,6.0,44,5076118.0,40.0,9.0,112182.0,224.763,massa,19.0,Brazilian,ferrari,Italian,2013,11,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,218.0,3.0,2.0,121462.0,109020.0,124059.0,43,32,Cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,109020.0,124059.0,118180.33333333331,25,7,132,1,0,1,1,1,2,0,2,0,0,0,0,0,0,1,0,0,0,133.0,90.0,90.0,81.0,84.0 +6.0,13,11,0.0,44,5104132.0,34.0,16.0,113472.0,222.208,perez,11.0,Mexican,mclaren,British,2013,11,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,65.0,5.0,0.0,122425.0,109304.0,109304.0,34,23,Cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,109304.0,122425.0,113677.66666666669,21,2,49,0,0,0,0,0,1,0,1,3,0,3,0,0,0,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +19.0,19,10,1.0,44,5095666.0,38.0,3.0,110967.0,227.224,ricciardo,3.0,Australian,toro_rosso,Italian,2013,11,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,25.0,7.0,0.0,123317.0,123317.0,123317.0,35,24,Cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,123317.0,123317.0,123317.0,22,2,42,0,0,0,0,0,0,1,1,0,1,0,1,1,0,1,1,0,2,72.0,76.0,76.0,76.0,74.0 +9.0,4,4,12.0,44,5052068.0,39.0,6.0,111582.0,225.971,rosberg,6.0,German,mercedes,German,2013,11,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,2.0,235.0,2.0,3.0,121099.0,108552.0,122251.0,39,28,Cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,108552.0,122251.0,117300.66666666669,21,7,139,2,0,0,1,1,1,0,0,2,0,0,0,0,0,0,0,0,0,137.0,87.0,90.0,80.0,83.0 +15.0,12,9,2.0,44,5091743.0,35.0,10.0,112226.0,224.675,sutil,99.0,German,force_india,Indian,2013,11,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,61.0,6.0,0.0,122749.0,109103.0,109103.0,41,30,Cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,109103.0,122749.0,113651.66666666669,24,6,101,0,0,0,0,1,0,2,0,0,1,0,0,3,0,0,0,0,0,100.0,83.0,81.0,81.0,78.0 +18.0,18,12,0.0,44,5108936.0,29.0,14.0,113065.0,223.008,vergne,25.0,French,toro_rosso,Italian,2013,11,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,25.0,7.0,0.0,123300.0,123300.0,123300.0,34,23,Cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,123300.0,123300.0,123300.0,22,1,31,0,0,0,0,0,1,0,1,0,1,0,3,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +1.0,2,1,25.0,44,5022196.0,40.0,1.0,110756.0,227.657,vettel,5.0,German,red_bull,Austrian,2013,11,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,4.0,312.0,1.0,5.0,121863.0,108646.0,121200.0,37,26,Cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,108646.0,121863.0,117236.33333333331,20,6,112,7,1,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,112.0,80.0,79.0,81.0,78.0 +2.0,3,5,10.0,44,5056041.0,31.0,5.0,111397.0,226.347,webber,91.0,Australian,red_bull,Austrian,2013,11,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,312.0,1.0,5.0,121597.0,108641.0,121325.0,48,37,Cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,108641.0,121597.0,117187.66666666669,30,7,139,3,2,1,2,1,1,2,0,0,0,0,0,0,0,0,0,0,0,137.0,87.0,90.0,80.0,83.0 +3.0,5,2,18.0,53,4718819.0,52.0,5.0,86797.0,240.27,alonso,14.0,Spanish,ferrari,Italian,2013,12,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,2.0,248.0,2.0,2.0,84661.0,84227.0,84142.0,43,32,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.793,51.0,295.134,84142.0,84661.0,84343.33333333333,25,7,140,6,3,1,1,1,0,1,1,0,0,0,0,0,0,0,0,0,0,139.0,90.0,87.0,80.0,83.0 +17.0,18,15,0.0,53,4770179.0,53.0,11.0,87166.0,239.253,bottas,77.0,Finnish,williams,British,2013,12,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,1.0,9.0,0.0,85291.0,85291.0,85291.0,35,24,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.793,51.0,295.134,85291.0,85291.0,85291.0,24,0,12,0,0,0,0,0,0,0,0,0,0,1,2,1,3,1,2,0,0,58.0,72.0,78.0,73.0,72.0 +5.0,9,10,1.0,53,4751679.0,46.0,16.0,87830.0,237.445,button,22.0,British,mclaren,British,2013,12,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,66.0,5.0,0.0,84739.0,84563.0,84515.0,44,33,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.793,51.0,295.134,84515.0,84739.0,84605.66666666667,26,7,140,0,0,0,0,1,3,1,1,1,1,0,1,1,0,0,0,1,0,139.0,90.0,87.0,80.0,83.0 +23.0,22,20,0.0,52,,48.0,19.0,89491.0,233.037,chilton,4.0,British,marussia,Russian,2013,12,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,0.0,10.0,0.0,87480.0,87480.0,87480.0,33,22,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.793,51.0,295.134,87480.0,87480.0,87480.0,22,0,12,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,4,0,58.0,72.0,78.0,73.0,72.0 +21.0,19,18,0.0,52,,52.0,18.0,88663.0,235.214,garde,32.0,Dutch,caterham,Malaysian,2013,12,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,0.0,11.0,0.0,86406.0,86406.0,86406.0,39,28,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.793,51.0,295.134,86406.0,86406.0,86406.0,28,0,12,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,1,0,4,58.0,72.0,78.0,73.0,72.0 +8.0,13,8,4.0,53,4746482.0,52.0,8.0,87043.0,239.591,grosjean,8.0,French,lotus_f1,British,2013,12,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,191.0,4.0,1.0,84737.0,84848.0,84848.0,38,27,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.793,51.0,295.134,84737.0,84848.0,84811.0,23,4,38,2,0,2,0,0,2,0,1,1,1,0,0,1,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +12.0,16,13,0.0,53,4754232.0,53.0,9.0,87092.0,239.457,gutierrez,21.0,Mexican,sauber,Swiss,2013,12,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,17.0,8.0,0.0,85226.0,85226.0,85226.0,33,22,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.793,51.0,295.134,85226.0,85226.0,85226.0,22,0,12,0,0,0,0,0,0,0,0,0,0,1,1,2,3,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +10.0,12,9,2.0,53,4746879.0,51.0,1.0,85849.0,242.924,hamilton,44.0,British,mercedes,German,2013,12,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,1.0,245.0,3.0,3.0,84589.0,84803.0,84803.0,39,28,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.793,51.0,295.134,84589.0,84803.0,84731.66666666667,22,6,122,5,0,4,2,3,0,0,0,0,0,0,1,0,0,0,0,0,0,123.0,88.0,82.0,85.0,83.0 +11.0,3,5,10.0,53,4723707.0,48.0,4.0,86716.0,240.495,hulkenberg,27.0,German,sauber,Swiss,2013,12,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,17.0,8.0,0.0,84776.0,84305.0,84065.0,37,26,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.793,51.0,295.134,84065.0,84776.0,84382.0,23,3,51,0,0,0,0,0,0,0,1,0,3,2,1,1,0,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +22.0,21,19,0.0,52,,47.0,20.0,89595.0,232.767,jules_bianchi,17.0,French,marussia,Russian,2013,12,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,0.0,10.0,0.0,87085.0,87085.0,87085.0,35,24,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.793,51.0,295.134,87085.0,87085.0,87085.0,24,0,12,0,0,0,0,0,0,0,0,0,0,0,0,1,0,2,2,1,2,58.0,72.0,78.0,73.0,72.0 +16.0,14,14,0.0,53,4762437.0,51.0,7.0,86981.0,239.762,maldonado,13.0,Venezuelan,williams,British,2013,12,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,1.0,9.0,0.0,84905.0,85011.0,85011.0,39,28,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.793,51.0,295.134,84905.0,85011.0,84975.66666666667,26,2,51,0,0,0,0,0,0,0,0,0,1,2,0,0,2,1,1,1,0,72.0,76.0,76.0,76.0,74.0 +4.0,4,4,12.0,53,4722713.0,48.0,10.0,87095.0,239.448,massa,19.0,Brazilian,ferrari,Italian,2013,12,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,248.0,2.0,2.0,84950.0,84479.0,84132.0,43,32,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.793,51.0,295.134,84132.0,84950.0,84520.33333333333,25,7,133,1,0,1,1,1,2,1,2,0,0,0,0,0,0,1,0,0,0,134.0,87.0,90.0,80.0,83.0 +6.0,8,12,0.0,53,4753117.0,44.0,15.0,87607.0,238.049,perez,11.0,Mexican,mclaren,British,2013,12,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,66.0,5.0,0.0,84635.0,84592.0,84502.0,34,23,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.793,51.0,295.134,84502.0,84635.0,84576.33333333333,21,2,50,0,0,0,0,0,1,0,1,3,0,4,0,0,0,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +20.0,20,17,0.0,52,,52.0,17.0,88620.0,235.328,pic,40.0,French,caterham,Malaysian,2013,12,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,0.0,11.0,0.0,86563.0,86563.0,86563.0,34,23,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.793,51.0,295.134,86563.0,86563.0,86563.0,22,1,32,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,2,3,1,58.0,72.0,78.0,73.0,72.0 +7.0,11,11,0.0,53,4752047.0,45.0,6.0,86948.0,239.853,raikkonen,7.0,Finnish,lotus_f1,British,2013,12,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,1.0,191.0,4.0,1.0,84819.0,84610.0,84610.0,45,34,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.793,51.0,295.134,84610.0,84819.0,84679.66666666667,27,7,102,6,5,0,0,1,0,1,0,1,1,0,0,0,0,0,0,0,0,102.0,87.0,81.0,81.0,79.0 +19.0,7,7,6.0,53,4745681.0,52.0,13.0,87294.0,238.903,ricciardo,3.0,Australian,toro_rosso,Italian,2013,12,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,31.0,7.0,0.0,84655.0,84290.0,84209.0,35,24,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.793,51.0,295.134,84209.0,84655.0,84384.66666666667,22,2,43,0,0,0,0,0,0,1,1,0,2,0,1,1,0,1,1,0,2,72.0,76.0,76.0,76.0,74.0 +9.0,6,6,8.0,53,4724351.0,50.0,2.0,86500.0,241.095,rosberg,6.0,German,mercedes,German,2013,12,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,2.0,245.0,3.0,3.0,84527.0,84393.0,84192.0,39,28,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.793,51.0,295.134,84192.0,84527.0,84370.66666666667,21,7,140,2,0,0,2,1,1,0,0,2,0,0,0,0,0,0,0,0,0,139.0,90.0,87.0,80.0,83.0 +15.0,17,16,0.0,52,,38.0,14.0,87418.0,238.564,sutil,99.0,German,force_india,Indian,2013,12,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,61.0,6.0,0.0,85030.0,84932.0,84932.0,41,30,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.793,51.0,295.134,84932.0,85030.0,84964.66666666667,24,6,102,0,0,0,0,1,0,2,0,1,1,0,0,3,0,0,0,0,0,102.0,87.0,81.0,81.0,79.0 +1.0,1,1,25.0,53,4713352.0,52.0,12.0,87190.0,239.187,vettel,5.0,German,red_bull,Austrian,2013,12,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,5.0,352.0,1.0,6.0,84319.0,83977.0,83755.0,37,26,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.793,51.0,295.134,83755.0,84319.0,84017.0,20,6,113,8,1,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,112.0,80.0,79.0,81.0,78.0 +2.0,2,3,15.0,53,4719702.0,53.0,3.0,86690.0,240.567,webber,91.0,Australian,red_bull,Austrian,2013,12,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,352.0,1.0,6.0,84923.0,84263.0,83968.0,48,37,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.793,51.0,295.134,83968.0,84923.0,84384.66666666667,30,7,140,3,2,1,2,2,1,2,0,0,0,0,0,0,0,0,0,0,0,139.0,90.0,87.0,80.0,83.0 +3.0,7,2,18.0,61,7185759.0,44.0,11.0,111082.0,164.149,alonso,14.0,Spanish,ferrari,Italian,2013,13,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,2.0,274.0,2.0,2.0,105115.0,104153.0,103938.0,43,32,Dry and 29 degrees,0,0,1,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,103938.0,105115.0,104402.0,25,7,141,7,4,1,1,1,0,1,1,0,0,0,0,0,0,0,0,0,0,141.0,89.0,85.0,83.0,83.0 +17.0,16,13,0.0,61,7258293.0,53.0,14.0,111706.0,163.232,bottas,77.0,Finnish,williams,British,2013,13,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,1.0,9.0,0.0,105982.0,105388.0,105388.0,35,24,Dry and 29 degrees,0,0,1,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,105388.0,105982.0,105586.0,24,0,13,0,0,0,0,0,0,0,0,0,0,1,2,1,3,2,2,0,0,58.0,72.0,78.0,73.0,72.0 +5.0,8,7,6.0,61,7236486.0,46.0,15.0,111740.0,163.182,button,22.0,British,mclaren,British,2013,13,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,76.0,5.0,0.0,105009.0,104497.0,104282.0,44,33,Dry and 29 degrees,0,0,1,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,104282.0,105009.0,104596.0,26,7,141,0,0,0,0,1,3,1,1,1,2,0,1,1,0,0,0,1,0,141.0,89.0,85.0,83.0,83.0 +23.0,22,17,0.0,60,,50.0,21.0,113041.0,161.304,chilton,4.0,British,marussia,Russian,2013,13,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,+1 Lap,0.0,0.0,10.0,0.0,108930.0,108930.0,108930.0,33,22,Dry and 29 degrees,0,0,1,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,108930.0,108930.0,108930.0,22,0,13,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,4,0,58.0,72.0,78.0,73.0,72.0 +21.0,20,16,0.0,60,,44.0,19.0,112472.0,162.12,garde,32.0,Dutch,caterham,Malaysian,2013,13,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,+1 Lap,0.0,0.0,11.0,0.0,108320.0,108320.0,108320.0,39,28,Dry and 29 degrees,0,0,1,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,108320.0,108320.0,108320.0,28,0,13,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,1,0,5,58.0,72.0,78.0,73.0,72.0 +12.0,10,12,0.0,61,7251026.0,37.0,17.0,112007.0,162.793,gutierrez,21.0,Mexican,sauber,Swiss,2013,13,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,19.0,8.0,0.0,105483.0,104245.0,104245.0,33,22,Dry and 29 degrees,0,0,1,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,104245.0,105483.0,104657.66666666669,22,0,13,0,0,0,0,0,0,0,0,0,0,1,1,3,3,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +10.0,5,5,10.0,61,7206291.0,59.0,4.0,109916.0,165.89,hamilton,44.0,British,mercedes,German,2013,13,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,1.0,267.0,3.0,3.0,104196.0,103920.0,103254.0,39,28,Dry and 29 degrees,0,0,1,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,103254.0,104196.0,103790.0,22,6,123,5,0,4,2,3,0,0,0,1,0,0,1,0,0,0,0,0,0,123.0,88.0,82.0,85.0,83.0 +11.0,11,9,2.0,61,7237393.0,47.0,18.0,112186.0,162.533,hulkenberg,27.0,German,sauber,Swiss,2013,13,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,19.0,8.0,0.0,105381.0,104555.0,104555.0,37,26,Dry and 29 degrees,0,0,1,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,104555.0,105381.0,104830.33333333331,23,3,52,0,0,0,0,1,0,0,1,0,3,2,1,1,0,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +22.0,21,18,0.0,60,,45.0,20.0,112898.0,161.508,jules_bianchi,17.0,French,marussia,Russian,2013,13,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,+1 Lap,0.0,0.0,10.0,0.0,108830.0,108830.0,108830.0,35,24,Dry and 29 degrees,0,0,1,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,108830.0,108830.0,108830.0,24,0,13,0,0,0,0,0,0,0,0,0,0,0,0,1,0,2,2,1,2,58.0,72.0,78.0,73.0,72.0 +16.0,18,11,0.0,61,7241611.0,46.0,8.0,110708.0,164.703,maldonado,13.0,Venezuelan,williams,British,2013,13,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,1.0,9.0,0.0,106619.0,106619.0,106619.0,39,28,Dry and 29 degrees,0,0,1,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,106619.0,106619.0,106619.0,26,2,52,0,0,0,0,0,0,0,0,0,1,2,0,0,3,1,1,1,0,72.0,76.0,76.0,76.0,74.0 +4.0,6,6,8.0,61,7217009.0,45.0,7.0,110509.0,165.0,massa,19.0,Brazilian,ferrari,Italian,2013,13,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,274.0,2.0,2.0,105658.0,104376.0,103890.0,43,32,Dry and 29 degrees,0,0,1,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,103890.0,105658.0,104641.33333333331,25,7,134,1,0,1,2,1,2,1,2,0,0,0,0,0,0,1,0,0,0,134.0,87.0,90.0,80.0,83.0 +6.0,14,8,4.0,61,7236952.0,46.0,16.0,111926.0,162.911,perez,11.0,Mexican,mclaren,British,2013,13,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,76.0,5.0,0.0,105164.0,104752.0,104752.0,34,23,Dry and 29 degrees,0,0,1,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,104752.0,105164.0,104889.33333333331,21,2,51,0,0,0,0,0,1,0,1,3,0,4,1,0,0,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +20.0,19,19,0.0,60,,58.0,10.0,110990.0,164.285,pic,40.0,French,caterham,Malaysian,2013,13,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,+1 Lap,0.0,0.0,11.0,0.0,108111.0,108111.0,108111.0,34,23,Dry and 29 degrees,0,0,1,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,108111.0,108111.0,108111.0,22,1,33,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,2,4,1,58.0,72.0,78.0,73.0,72.0 +7.0,13,3,15.0,61,7197052.0,55.0,13.0,111140.0,164.063,raikkonen,7.0,Finnish,lotus_f1,British,2013,13,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,1.0,206.0,4.0,1.0,105522.0,104658.0,104658.0,45,34,Dry and 29 degrees,0,0,1,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,104658.0,105522.0,104946.0,27,7,103,6,5,0,0,1,0,1,0,1,1,1,0,0,0,0,0,0,0,102.0,87.0,81.0,81.0,79.0 +9.0,2,4,12.0,61,7204287.0,51.0,6.0,110353.0,165.233,rosberg,6.0,German,mercedes,German,2013,13,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,2.0,267.0,3.0,3.0,105208.0,103892.0,102932.0,39,28,Dry and 29 degrees,0,0,1,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,102932.0,105208.0,104010.66666666669,21,7,141,2,0,0,2,1,2,0,0,2,0,0,0,0,0,0,0,0,0,141.0,89.0,85.0,83.0,83.0 +15.0,15,10,1.0,61,7237800.0,43.0,2.0,109656.0,166.283,sutil,99.0,German,force_india,Indian,2013,13,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,62.0,6.0,0.0,105960.0,105185.0,105185.0,41,30,Dry and 29 degrees,0,0,1,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,105185.0,105960.0,105443.33333333331,24,6,103,0,0,0,0,1,0,2,0,1,1,0,0,3,0,0,1,0,0,102.0,87.0,81.0,81.0,79.0 +18.0,12,14,0.0,61,7266644.0,45.0,5.0,110328.0,165.27,vergne,25.0,French,toro_rosso,Italian,2013,13,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,31.0,7.0,0.0,105657.0,104588.0,104588.0,34,23,Dry and 29 degrees,0,0,1,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,104588.0,105657.0,104944.33333333331,22,1,33,0,0,0,0,0,1,0,1,0,1,0,4,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +1.0,1,1,25.0,61,7153132.0,46.0,1.0,108574.0,167.94,vettel,5.0,German,red_bull,Austrian,2013,13,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,6.0,377.0,1.0,7.0,105376.0,102905.0,102841.0,37,26,Dry and 29 degrees,0,0,1,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,102841.0,105376.0,103707.33333333331,20,6,114,9,1,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,115.0,80.0,78.0,82.0,78.0 +3.0,5,6,8.0,55,6219890.0,54.0,7.0,102709.0,196.808,alonso,14.0,Spanish,ferrari,Italian,2013,14,Korean Grand Prix,21600000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,Finished,2.0,284.0,2.0,2.0,98520.0,97978.0,98038.0,43,32,Cloudy with maximum temperatures reaching 29 degrees during the day,0,0,0,0,1,Race circuit,Anti-clockwise,5.615,55.0,309.155,97978.0,98520.0,98178.66666666669,25,7,142,8,5,1,1,1,0,1,1,0,0,0,0,0,0,0,0,0,0,141.0,89.0,85.0,83.0,83.0 +17.0,17,12,0.0,55,6240750.0,44.0,14.0,103869.0,194.61,bottas,77.0,Finnish,williams,British,2013,14,Korean Grand Prix,21600000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,Finished,0.0,1.0,9.0,0.0,99470.0,99470.0,99470.0,35,24,Cloudy with maximum temperatures reaching 29 degrees during the day,0,0,0,0,1,Race circuit,Anti-clockwise,5.615,55.0,309.155,99470.0,99470.0,99470.0,24,0,14,0,0,0,0,0,0,0,0,0,0,1,2,2,3,2,2,0,0,58.0,72.0,78.0,73.0,72.0 +5.0,11,8,4.0,55,6225963.0,45.0,12.0,103073.0,196.113,button,22.0,British,mclaren,British,2013,14,Korean Grand Prix,21600000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,Finished,0.0,81.0,5.0,0.0,98882.0,98365.0,98365.0,44,33,Cloudy with maximum temperatures reaching 29 degrees during the day,0,0,0,0,1,Race circuit,Anti-clockwise,5.615,55.0,309.155,98365.0,98882.0,98537.33333333331,26,7,142,0,0,0,0,1,3,2,1,1,2,0,1,1,0,0,0,1,0,141.0,89.0,85.0,83.0,83.0 +23.0,21,17,0.0,55,6266599.0,48.0,21.0,105408.0,191.769,chilton,4.0,British,marussia,Russian,2013,14,Korean Grand Prix,21600000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,Finished,0.0,0.0,10.0,0.0,101322.0,101322.0,101322.0,33,22,Cloudy with maximum temperatures reaching 29 degrees during the day,0,0,0,0,1,Race circuit,Anti-clockwise,5.615,55.0,309.155,101322.0,101322.0,101322.0,22,0,14,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,5,0,58.0,72.0,78.0,73.0,72.0 +21.0,20,15,0.0,55,6258202.0,55.0,18.0,104375.0,193.667,garde,32.0,Dutch,caterham,Malaysian,2013,14,Korean Grand Prix,21600000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,Finished,0.0,0.0,11.0,0.0,100871.0,100871.0,100871.0,39,28,Cloudy with maximum temperatures reaching 29 degrees during the day,0,0,0,0,1,Race circuit,Anti-clockwise,5.615,55.0,309.155,100871.0,100871.0,100871.0,28,0,14,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,2,0,5,58.0,72.0,78.0,73.0,72.0 +8.0,3,3,15.0,55,6198628.0,46.0,2.0,101936.0,198.3,grosjean,8.0,French,lotus_f1,British,2013,14,Korean Grand Prix,21600000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,Finished,0.0,239.0,4.0,1.0,99065.0,98076.0,97531.0,38,27,Cloudy with maximum temperatures reaching 29 degrees during the day,0,0,0,0,1,Race circuit,Anti-clockwise,5.615,55.0,309.155,97531.0,99065.0,98224.0,23,4,40,2,0,2,0,0,2,0,2,1,1,0,0,1,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +12.0,8,11,0.0,55,6229691.0,55.0,8.0,102744.0,196.741,gutierrez,21.0,Mexican,sauber,Swiss,2013,14,Korean Grand Prix,21600000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,Finished,0.0,31.0,7.0,0.0,98725.0,98327.0,98405.0,33,22,Cloudy with maximum temperatures reaching 29 degrees during the day,0,0,0,0,1,Race circuit,Anti-clockwise,5.615,55.0,309.155,98327.0,98725.0,98485.66666666669,22,0,14,0,0,0,0,0,0,0,0,0,0,1,2,3,3,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +10.0,2,5,10.0,55,6218956.0,53.0,5.0,102539.0,197.134,hamilton,44.0,British,mercedes,German,2013,14,Korean Grand Prix,21600000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,Finished,1.0,283.0,3.0,3.0,98574.0,97824.0,97420.0,39,28,Cloudy with maximum temperatures reaching 29 degrees during the day,0,0,0,0,1,Race circuit,Anti-clockwise,5.615,55.0,309.155,97420.0,98574.0,97939.33333333331,22,6,124,5,0,4,2,4,0,0,0,1,0,0,1,0,0,0,0,0,0,123.0,88.0,82.0,85.0,83.0 +11.0,7,4,12.0,55,6217815.0,53.0,6.0,102608.0,197.002,hulkenberg,27.0,German,sauber,Swiss,2013,14,Korean Grand Prix,21600000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,Finished,0.0,31.0,7.0,0.0,98427.0,97913.0,98237.0,37,26,Cloudy with maximum temperatures reaching 29 degrees during the day,0,0,0,0,1,Race circuit,Anti-clockwise,5.615,55.0,309.155,97913.0,98427.0,98192.33333333331,23,3,53,0,0,0,0,1,0,0,1,1,3,2,1,1,0,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +22.0,22,16,0.0,55,6261671.0,54.0,20.0,104991.0,192.53,jules_bianchi,17.0,French,marussia,Russian,2013,14,Korean Grand Prix,21600000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,Finished,0.0,0.0,10.0,0.0,101169.0,101169.0,101169.0,35,24,Cloudy with maximum temperatures reaching 29 degrees during the day,0,0,0,0,1,Race circuit,Anti-clockwise,5.615,55.0,309.155,101169.0,101169.0,101169.0,24,0,14,0,0,0,0,0,0,0,0,0,0,0,0,1,0,2,2,1,3,58.0,72.0,78.0,73.0,72.0 +16.0,18,13,0.0,55,6243714.0,43.0,17.0,104136.0,194.111,maldonado,13.0,Venezuelan,williams,British,2013,14,Korean Grand Prix,21600000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,Finished,0.0,1.0,9.0,0.0,99987.0,99987.0,99987.0,39,28,Cloudy with maximum temperatures reaching 29 degrees during the day,0,0,0,0,1,Race circuit,Anti-clockwise,5.615,55.0,309.155,99987.0,99987.0,99987.0,26,2,53,0,0,0,0,0,0,0,0,0,1,3,0,0,3,1,1,1,0,72.0,76.0,76.0,76.0,74.0 +4.0,6,9,2.0,55,6228091.0,47.0,10.0,102954.0,196.34,massa,19.0,Brazilian,ferrari,Italian,2013,14,Korean Grand Prix,21600000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,Finished,0.0,284.0,2.0,2.0,98884.0,98295.0,98223.0,43,32,Cloudy with maximum temperatures reaching 29 degrees during the day,0,0,0,0,1,Race circuit,Anti-clockwise,5.615,55.0,309.155,98223.0,98884.0,98467.33333333331,25,7,135,1,0,1,2,1,3,1,2,0,0,0,0,0,0,1,0,0,0,134.0,87.0,90.0,80.0,83.0 +6.0,10,10,1.0,55,6228856.0,47.0,11.0,102973.0,196.303,perez,11.0,Mexican,mclaren,British,2013,14,Korean Grand Prix,21600000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,Finished,0.0,81.0,5.0,0.0,99049.0,98362.0,98362.0,34,23,Cloudy with maximum temperatures reaching 29 degrees during the day,0,0,0,0,1,Race circuit,Anti-clockwise,5.615,55.0,309.155,98362.0,99049.0,98591.0,21,2,52,0,0,0,0,0,1,0,2,3,0,4,1,0,0,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +20.0,19,14,0.0,55,6257279.0,54.0,19.0,104477.0,193.477,pic,40.0,French,caterham,Malaysian,2013,14,Korean Grand Prix,21600000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,Finished,0.0,0.0,11.0,0.0,100864.0,100864.0,100864.0,34,23,Cloudy with maximum temperatures reaching 29 degrees during the day,0,0,0,0,1,Race circuit,Anti-clockwise,5.615,55.0,309.155,100864.0,100864.0,100864.0,22,1,34,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,2,4,1,58.0,72.0,78.0,73.0,72.0 +7.0,9,2,18.0,55,6197925.0,51.0,3.0,101975.0,198.225,raikkonen,7.0,Finnish,lotus_f1,British,2013,14,Korean Grand Prix,21600000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,Finished,1.0,239.0,4.0,1.0,98341.0,98181.0,98822.0,45,34,Cloudy with maximum temperatures reaching 29 degrees during the day,0,0,0,0,1,Race circuit,Anti-clockwise,5.615,55.0,309.155,98181.0,98822.0,98448.0,27,7,104,7,5,1,0,1,0,1,0,1,1,1,0,0,0,0,0,0,0,107.0,80.0,80.0,79.0,78.0 +19.0,12,19,0.0,52,,52.0,9.0,102947.0,196.353,ricciardo,3.0,Australian,toro_rosso,Italian,2013,14,Korean Grand Prix,21600000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,+3 Laps,0.0,31.0,8.0,0.0,98525.0,98417.0,98417.0,35,24,Cloudy with maximum temperatures reaching 29 degrees during the day,0,0,0,0,1,Race circuit,Anti-clockwise,5.615,55.0,309.155,98417.0,98525.0,98453.0,22,2,45,0,0,0,0,0,0,2,1,0,2,0,1,1,0,1,1,0,2,72.0,76.0,76.0,76.0,74.0 +9.0,4,7,6.0,55,6220399.0,54.0,4.0,102471.0,197.265,rosberg,6.0,German,mercedes,German,2013,14,Korean Grand Prix,21600000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,Finished,2.0,283.0,3.0,3.0,98418.0,98031.0,97679.0,39,28,Cloudy with maximum temperatures reaching 29 degrees during the day,0,0,0,0,1,Race circuit,Anti-clockwise,5.615,55.0,309.155,97679.0,98418.0,98042.66666666669,21,7,142,2,0,0,3,1,2,0,0,2,0,0,0,0,0,0,0,0,0,141.0,89.0,85.0,83.0,83.0 +18.0,16,18,0.0,53,,52.0,15.0,104090.0,194.197,vergne,25.0,French,toro_rosso,Italian,2013,14,Korean Grand Prix,21600000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,+2 Laps,0.0,31.0,8.0,0.0,99075.0,98781.0,98781.0,34,23,Cloudy with maximum temperatures reaching 29 degrees during the day,0,0,0,0,1,Race circuit,Anti-clockwise,5.615,55.0,309.155,98781.0,99075.0,98879.0,22,1,34,0,0,0,0,0,1,0,1,0,1,0,4,0,1,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +1.0,1,1,25.0,55,6193701.0,53.0,1.0,101380.0,199.388,vettel,5.0,German,red_bull,Austrian,2013,14,Korean Grand Prix,21600000.0,yeongam,Yeongam County,Korea,34.7333,126.417,0.0,Finished,7.0,402.0,1.0,8.0,98683.0,97569.0,97202.0,37,26,Cloudy with maximum temperatures reaching 29 degrees during the day,0,0,0,0,1,Race circuit,Anti-clockwise,5.615,55.0,309.155,97202.0,98683.0,97818.0,20,6,115,10,1,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,115.0,80.0,78.0,82.0,78.0 +3.0,8,4,12.0,53,5254906.0,39.0,8.0,95877.0,218.041,alonso,14.0,Spanish,ferrari,Italian,2013,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,2.0,297.0,2.0,2.0,92371.0,91828.0,91665.0,43,32,Warm and sunny,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,91665.0,92371.0,91954.66666666669,25,7,143,8,5,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,147.0,88.0,80.0,84.0,83.0 +17.0,13,17,0.0,52,,43.0,18.0,97856.0,213.632,bottas,77.0,Finnish,williams,British,2013,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+1 Lap,0.0,1.0,9.0,0.0,92613.0,92013.0,92013.0,35,24,Warm and sunny,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,92013.0,92613.0,92213.0,24,0,15,0,0,0,0,0,0,0,0,0,0,1,3,2,3,2,2,0,0,58.0,72.0,78.0,73.0,72.0 +5.0,10,9,2.0,53,5290122.0,53.0,6.0,95549.0,218.79,button,22.0,British,mclaren,British,2013,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,83.0,5.0,0.0,92606.0,91838.0,91827.0,44,33,Warm and sunny,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,91827.0,92606.0,92090.33333333331,26,7,143,0,0,0,0,1,3,2,2,1,2,0,1,1,0,0,0,1,0,147.0,88.0,80.0,84.0,83.0 +23.0,18,19,0.0,52,,45.0,19.0,98713.0,211.777,chilton,4.0,British,marussia,Russian,2013,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+1 Lap,0.0,0.0,10.0,0.0,94320.0,94320.0,94320.0,33,22,Warm and sunny,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,94320.0,94320.0,94320.0,22,0,15,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,6,0,58.0,72.0,78.0,73.0,72.0 +8.0,4,3,15.0,53,5219211.0,48.0,10.0,95991.0,217.782,grosjean,8.0,French,lotus_f1,British,2013,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,264.0,4.0,1.0,91824.0,91565.0,91365.0,38,27,Warm and sunny,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,91365.0,91824.0,91584.66666666669,23,4,41,3,0,3,0,0,2,0,2,1,1,0,0,1,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +12.0,14,7,6.0,53,5280931.0,50.0,12.0,96499.0,216.636,gutierrez,21.0,Mexican,sauber,Swiss,2013,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,45.0,7.0,0.0,92673.0,92063.0,92063.0,33,22,Warm and sunny,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,92063.0,92673.0,92266.33333333331,22,0,15,0,0,0,0,0,0,0,0,0,0,2,2,3,3,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +11.0,7,6,8.0,53,5260916.0,33.0,11.0,96482.0,216.674,hulkenberg,27.0,German,sauber,Swiss,2013,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,45.0,7.0,0.0,92465.0,91848.0,91644.0,37,26,Warm and sunny,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,91644.0,92465.0,91985.66666666669,23,3,54,0,0,0,1,1,0,0,1,1,3,2,1,1,0,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +16.0,15,16,0.0,52,,30.0,16.0,97423.0,214.581,maldonado,13.0,Venezuelan,williams,British,2013,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+1 Lap,0.0,1.0,9.0,0.0,92875.0,92093.0,92093.0,39,28,Warm and sunny,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,92093.0,92875.0,92353.66666666669,26,2,54,0,0,0,0,0,0,0,0,0,1,3,0,1,3,1,1,1,0,72.0,76.0,76.0,76.0,74.0 +4.0,5,10,1.0,53,5298564.0,30.0,13.0,97001.0,215.515,massa,19.0,Brazilian,ferrari,Italian,2013,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,297.0,2.0,2.0,91994.0,91668.0,91378.0,43,32,Warm and sunny,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,91378.0,91994.0,91680.0,25,7,136,1,0,1,2,1,3,1,2,1,0,0,0,0,0,1,0,0,0,134.0,87.0,90.0,80.0,83.0 +6.0,11,15,0.0,52,,46.0,7.0,95845.0,218.114,perez,11.0,Mexican,mclaren,British,2013,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+1 Lap,0.0,83.0,5.0,0.0,92718.0,91989.0,91989.0,34,23,Warm and sunny,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,91989.0,92718.0,92232.0,21,2,53,0,0,0,0,0,1,0,2,3,1,4,1,0,0,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +20.0,20,18,0.0,52,,51.0,17.0,97489.0,214.436,pic,40.0,French,caterham,Malaysian,2013,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+1 Lap,0.0,0.0,11.0,0.0,94556.0,94556.0,94556.0,34,23,Warm and sunny,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,94556.0,94556.0,94556.0,22,1,35,0,0,0,0,0,0,0,0,0,0,0,0,0,2,2,2,4,1,58.0,72.0,78.0,73.0,72.0 +7.0,9,5,10.0,53,5256626.0,35.0,5.0,95516.0,218.865,raikkonen,7.0,Finnish,lotus_f1,British,2013,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,1.0,264.0,4.0,1.0,92377.0,91662.0,91684.0,45,34,Warm and sunny,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,91662.0,92377.0,91907.66666666669,27,7,105,8,6,1,0,1,0,1,0,1,1,1,0,0,0,0,0,0,0,107.0,80.0,80.0,79.0,78.0 +14.0,12,11,0.0,53,5307873.0,41.0,15.0,97407.0,214.617,resta,95.0,British,force_india,Indian,2013,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,62.0,6.0,0.0,92286.0,91992.0,91992.0,38,27,Warm and sunny,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,91992.0,92286.0,92090.0,25,2,54,0,0,0,1,0,0,2,2,2,0,1,0,0,0,0,0,0,1,72.0,76.0,76.0,76.0,74.0 +19.0,16,13,0.0,52,,52.0,3.0,95020.0,220.008,ricciardo,3.0,Australian,toro_rosso,Italian,2013,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+1 Lap,0.0,31.0,8.0,0.0,92804.0,92485.0,92485.0,35,24,Warm and sunny,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,92485.0,92804.0,92591.33333333331,22,2,46,0,0,0,0,0,0,2,1,0,2,0,1,1,0,1,1,0,2,72.0,76.0,76.0,76.0,74.0 +9.0,6,8,4.0,53,5281324.0,46.0,2.0,94650.0,220.868,rosberg,6.0,German,mercedes,German,2013,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,2.0,287.0,3.0,3.0,92244.0,91764.0,91397.0,39,28,Warm and sunny,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,91397.0,92244.0,91801.66666666669,21,7,143,2,0,0,3,1,2,1,0,2,0,0,0,0,0,0,0,0,0,147.0,88.0,80.0,84.0,83.0 +15.0,22,14,0.0,52,,29.0,14.0,97367.0,214.705,sutil,99.0,German,force_india,Indian,2013,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+1 Lap,0.0,62.0,6.0,0.0,92890.0,92890.0,92890.0,41,30,Warm and sunny,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,92890.0,92890.0,92890.0,24,6,105,0,0,0,0,1,0,2,0,1,2,0,0,3,0,0,1,0,0,107.0,80.0,80.0,79.0,78.0 +18.0,17,12,0.0,52,,52.0,9.0,95895.0,218.0,vergne,25.0,French,toro_rosso,Italian,2013,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+1 Lap,0.0,31.0,8.0,0.0,93357.0,93357.0,93357.0,34,23,Warm and sunny,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,93357.0,93357.0,93357.0,22,1,35,0,0,0,0,0,1,0,1,0,1,0,4,0,1,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +1.0,2,1,25.0,53,5209301.0,39.0,4.0,95317.0,219.322,vettel,5.0,German,red_bull,Austrian,2013,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,8.0,445.0,1.0,9.0,92397.0,91290.0,91089.0,37,26,Warm and sunny,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,91089.0,92397.0,91592.0,20,6,116,11,1,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,115.0,80.0,78.0,82.0,78.0 +2.0,1,2,18.0,53,5216430.0,44.0,1.0,94587.0,221.015,webber,91.0,Australian,red_bull,Austrian,2013,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,445.0,1.0,9.0,92271.0,91513.0,90915.0,48,37,Warm and sunny,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,90915.0,92271.0,91566.33333333331,30,7,143,4,2,2,2,2,1,2,0,0,0,0,0,0,0,1,0,0,0,147.0,88.0,80.0,84.0,83.0 +3.0,8,11,0.0,60,5550484.0,58.0,6.0,88709.0,207.983,alonso,14.0,Spanish,ferrari,Italian,2013,16,Indian Grand Prix,34200000.0,buddh,Uttar Pradesh,India,28.3487,77.5331,194.0,Finished,2.0,309.0,3.0,2.0,85934.0,84885.0,85826.0,43,32,"Sunny, haze",1,0,0,0,0,Race circuit,Clockwise,5.141,60.0,307.249,84885.0,85934.0,85548.33333333333,25,7,144,8,5,1,2,1,1,1,1,0,0,0,0,0,0,0,0,0,0,147.0,88.0,80.0,84.0,83.0 +17.0,15,16,0.0,59,,52.0,12.0,88928.0,207.471,bottas,77.0,Finnish,williams,British,2013,16,Indian Grand Prix,34200000.0,buddh,Uttar Pradesh,India,28.3487,77.5331,194.0,+1 Lap,0.0,1.0,9.0,0.0,86178.0,86134.0,86134.0,35,24,"Sunny, haze",1,0,0,0,0,Race circuit,Clockwise,5.141,60.0,307.249,86134.0,86178.0,86148.66666666667,24,0,16,0,0,0,0,0,0,0,0,0,0,1,3,2,3,2,2,1,0,58.0,72.0,78.0,73.0,72.0 +5.0,10,14,0.0,59,,57.0,8.0,88814.0,207.737,button,22.0,British,mclaren,British,2013,16,Indian Grand Prix,34200000.0,buddh,Uttar Pradesh,India,28.3487,77.5331,194.0,+1 Lap,0.0,93.0,5.0,0.0,85574.0,85458.0,86487.0,44,33,"Sunny, haze",1,0,0,0,0,Race circuit,Clockwise,5.141,60.0,307.249,85458.0,86487.0,85839.66666666667,26,7,144,0,0,0,0,1,3,2,2,2,2,0,1,1,0,0,0,1,0,147.0,88.0,80.0,84.0,83.0 +23.0,22,17,0.0,58,,56.0,20.0,90335.0,204.239,chilton,4.0,British,marussia,Russian,2013,16,Indian Grand Prix,34200000.0,buddh,Uttar Pradesh,India,28.3487,77.5331,194.0,+2 Laps,0.0,0.0,10.0,0.0,88138.0,88138.0,88138.0,33,22,"Sunny, haze",1,0,0,0,0,Race circuit,Clockwise,5.141,60.0,307.249,88138.0,88138.0,88138.0,22,0,16,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,6,0,58.0,72.0,78.0,73.0,72.0 +8.0,17,3,15.0,60,5512079.0,57.0,7.0,88796.0,207.779,grosjean,8.0,French,lotus_f1,British,2013,16,Indian Grand Prix,34200000.0,buddh,Uttar Pradesh,India,28.3487,77.5331,194.0,Finished,0.0,285.0,4.0,1.0,86577.0,86577.0,86577.0,38,27,"Sunny, haze",1,0,0,0,0,Race circuit,Clockwise,5.141,60.0,307.249,86577.0,86577.0,86577.0,23,4,42,4,0,4,0,0,2,0,2,1,1,0,0,1,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +12.0,16,15,0.0,59,,49.0,5.0,88682.0,208.046,gutierrez,21.0,Mexican,sauber,Swiss,2013,16,Indian Grand Prix,34200000.0,buddh,Uttar Pradesh,India,28.3487,77.5331,194.0,+1 Lap,0.0,45.0,7.0,0.0,86057.0,86366.0,86366.0,33,22,"Sunny, haze",1,0,0,0,0,Race circuit,Clockwise,5.141,60.0,307.249,86057.0,86366.0,86263.0,22,0,16,0,0,0,0,0,0,1,0,0,0,2,2,3,3,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +10.0,3,6,8.0,60,5524662.0,53.0,15.0,89052.0,207.182,hamilton,44.0,British,mercedes,German,2013,16,Indian Grand Prix,34200000.0,buddh,Uttar Pradesh,India,28.3487,77.5331,194.0,Finished,1.0,313.0,2.0,3.0,85802.0,85259.0,84941.0,39,28,"Sunny, haze",1,0,0,0,0,Race circuit,Clockwise,5.141,60.0,307.249,84941.0,85802.0,85334.0,22,6,126,5,0,4,2,5,0,0,0,1,0,0,1,0,0,0,0,0,0,130.0,89.0,85.0,82.0,82.0 +22.0,19,18,0.0,58,,57.0,19.0,90171.0,204.611,jules_bianchi,17.0,French,marussia,Russian,2013,16,Indian Grand Prix,34200000.0,buddh,Uttar Pradesh,India,28.3487,77.5331,194.0,+2 Laps,0.0,0.0,10.0,0.0,86970.0,86970.0,86970.0,35,24,"Sunny, haze",1,0,0,0,0,Race circuit,Clockwise,5.141,60.0,307.249,86970.0,86970.0,86970.0,24,0,16,0,0,0,0,0,0,0,0,0,0,0,0,1,0,2,3,1,3,58.0,72.0,78.0,73.0,72.0 +16.0,18,12,0.0,60,5551138.0,56.0,14.0,89012.0,207.275,maldonado,13.0,Venezuelan,williams,British,2013,16,Indian Grand Prix,34200000.0,buddh,Uttar Pradesh,India,28.3487,77.5331,194.0,Finished,0.0,1.0,9.0,0.0,86842.0,86842.0,86842.0,39,28,"Sunny, haze",1,0,0,0,0,Race circuit,Clockwise,5.141,60.0,307.249,86842.0,86842.0,86842.0,26,2,55,0,0,0,0,0,0,0,0,0,1,3,0,1,3,1,2,1,0,72.0,76.0,76.0,76.0,74.0 +4.0,5,4,12.0,60,5513879.0,54.0,11.0,88886.0,207.569,massa,19.0,Brazilian,ferrari,Italian,2013,16,Indian Grand Prix,34200000.0,buddh,Uttar Pradesh,India,28.3487,77.5331,194.0,Finished,0.0,309.0,3.0,2.0,85793.0,85389.0,85201.0,43,32,"Sunny, haze",1,0,0,0,0,Race circuit,Clockwise,5.141,60.0,307.249,85201.0,85793.0,85461.0,25,7,137,1,0,1,2,1,3,1,2,1,1,0,0,0,0,1,0,0,0,134.0,87.0,90.0,80.0,83.0 +6.0,9,5,10.0,60,5516016.0,59.0,4.0,88503.0,208.467,perez,11.0,Mexican,mclaren,British,2013,16,Indian Grand Prix,34200000.0,buddh,Uttar Pradesh,India,28.3487,77.5331,194.0,Finished,0.0,93.0,5.0,0.0,86107.0,85365.0,86153.0,34,23,"Sunny, haze",1,0,0,0,0,Race circuit,Clockwise,5.141,60.0,307.249,85365.0,86153.0,85875.0,21,2,54,0,0,0,0,0,1,0,2,3,1,4,1,0,0,1,1,0,0,72.0,76.0,76.0,76.0,74.0 +7.0,6,7,6.0,60,5540175.0,60.0,1.0,87679.0,210.426,raikkonen,7.0,Finnish,lotus_f1,British,2013,16,Indian Grand Prix,34200000.0,buddh,Uttar Pradesh,India,28.3487,77.5331,194.0,Finished,1.0,285.0,4.0,1.0,85819.0,85191.0,85248.0,45,34,"Sunny, haze",1,0,0,0,0,Race circuit,Clockwise,5.141,60.0,307.249,85191.0,85819.0,85419.33333333333,27,7,106,8,6,1,0,2,0,1,0,1,1,1,0,0,0,0,0,0,0,107.0,80.0,80.0,79.0,78.0 +14.0,12,8,4.0,60,5545055.0,58.0,17.0,89300.0,206.606,resta,95.0,British,force_india,Indian,2013,16,Indian Grand Prix,34200000.0,buddh,Uttar Pradesh,India,28.3487,77.5331,194.0,Finished,0.0,68.0,6.0,0.0,85908.0,85711.0,85711.0,38,27,"Sunny, haze",1,0,0,0,0,Race circuit,Clockwise,5.141,60.0,307.249,85711.0,85908.0,85776.66666666667,25,2,55,0,0,0,1,0,0,2,2,2,0,2,0,0,0,0,0,0,1,72.0,76.0,76.0,76.0,74.0 +19.0,11,10,1.0,60,5548424.0,60.0,10.0,88831.0,207.697,ricciardo,3.0,Australian,toro_rosso,Italian,2013,16,Indian Grand Prix,34200000.0,buddh,Uttar Pradesh,India,28.3487,77.5331,194.0,Finished,0.0,32.0,8.0,0.0,85673.0,85519.0,85519.0,35,24,"Sunny, haze",1,0,0,0,0,Race circuit,Clockwise,5.141,60.0,307.249,85519.0,85673.0,85570.33333333333,22,2,47,0,0,0,0,0,0,2,1,0,2,0,1,2,0,1,1,0,2,72.0,76.0,76.0,76.0,74.0 +9.0,2,2,18.0,60,5502010.0,49.0,9.0,88816.0,207.732,rosberg,6.0,German,mercedes,German,2013,16,Indian Grand Prix,34200000.0,buddh,Uttar Pradesh,India,28.3487,77.5331,194.0,Finished,2.0,313.0,2.0,3.0,85833.0,85304.0,84871.0,39,28,"Sunny, haze",1,0,0,0,0,Race circuit,Clockwise,5.141,60.0,307.249,84871.0,85833.0,85336.0,21,7,144,2,0,0,3,1,2,1,1,2,0,0,0,0,0,0,0,0,0,147.0,88.0,80.0,84.0,83.0 +15.0,13,9,2.0,60,5546921.0,60.0,3.0,88419.0,208.665,sutil,99.0,German,force_india,Indian,2013,16,Indian Grand Prix,34200000.0,buddh,Uttar Pradesh,India,28.3487,77.5331,194.0,Finished,0.0,68.0,6.0,0.0,86164.0,85740.0,85740.0,41,30,"Sunny, haze",1,0,0,0,0,Race circuit,Clockwise,5.141,60.0,307.249,85740.0,86164.0,85881.33333333333,24,6,106,0,0,0,0,1,0,2,0,1,2,0,0,3,1,0,1,0,0,107.0,80.0,80.0,79.0,78.0 +18.0,14,13,0.0,59,,53.0,16.0,89280.0,206.653,vergne,25.0,French,toro_rosso,Italian,2013,16,Indian Grand Prix,34200000.0,buddh,Uttar Pradesh,India,28.3487,77.5331,194.0,+1 Lap,0.0,32.0,8.0,0.0,86155.0,85798.0,85798.0,34,23,"Sunny, haze",1,0,0,0,0,Race circuit,Clockwise,5.141,60.0,307.249,85798.0,86155.0,85917.0,22,1,36,0,0,0,0,0,1,0,1,0,1,0,5,0,1,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +1.0,1,1,25.0,60,5472187.0,54.0,2.0,88116.0,209.383,vettel,5.0,German,red_bull,Austrian,2013,16,Indian Grand Prix,34200000.0,buddh,Uttar Pradesh,India,28.3487,77.5331,194.0,Finished,9.0,470.0,1.0,10.0,85943.0,84568.0,84119.0,37,26,"Sunny, haze",1,0,0,0,0,Race circuit,Clockwise,5.141,60.0,307.249,84119.0,85943.0,84876.66666666667,20,6,117,12,1,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,115.0,80.0,78.0,82.0,78.0 +3.0,10,5,10.0,55,5953287.0,55.0,1.0,103434.0,193.305,alonso,14.0,Spanish,ferrari,Italian,2013,17,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,2.0,323.0,3.0,2.0,101397.0,101093.0,101093.0,43,32,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,101093.0,101397.0,101194.33333333331,25,7,145,8,5,1,2,1,1,1,1,0,0,1,0,0,0,0,0,0,0,147.0,88.0,80.0,84.0,83.0 +17.0,15,15,0.0,54,,54.0,4.0,104351.0,191.607,bottas,77.0,Finnish,williams,British,2013,17,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,1.0,9.0,0.0,101862.0,101447.0,101447.0,35,24,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,101447.0,101862.0,101585.33333333331,24,0,17,0,0,0,0,0,0,0,0,0,0,1,3,2,3,2,3,1,0,58.0,72.0,78.0,73.0,72.0 +5.0,12,12,0.0,55,5989873.0,43.0,17.0,106336.0,188.03,button,22.0,British,mclaren,British,2013,17,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,95.0,5.0,0.0,101817.0,101200.0,101200.0,44,33,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,101200.0,101817.0,101405.66666666669,26,7,145,0,0,0,0,1,3,2,2,2,2,0,1,1,1,0,0,1,0,147.0,88.0,80.0,84.0,83.0 +21.0,18,18,0.0,54,,48.0,19.0,106592.0,187.578,garde,32.0,Dutch,caterham,Malaysian,2013,17,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,0.0,11.0,0.0,103252.0,103252.0,103252.0,39,28,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,103252.0,103252.0,103252.0,28,0,17,0,0,0,0,0,0,0,0,0,0,0,0,0,1,3,2,0,5,58.0,72.0,78.0,73.0,72.0 +8.0,6,4,12.0,55,5920908.0,54.0,3.0,104301.0,191.699,grosjean,8.0,French,lotus_f1,British,2013,17,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,297.0,4.0,1.0,101447.0,100948.0,100997.0,38,27,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,100948.0,101447.0,101130.66666666669,23,4,43,5,0,5,0,0,2,0,2,1,1,0,0,1,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +12.0,16,13,0.0,55,5990401.0,43.0,15.0,105974.0,188.672,gutierrez,21.0,Mexican,sauber,Swiss,2013,17,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,45.0,7.0,0.0,101999.0,101999.0,101999.0,33,22,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,101999.0,101999.0,101999.0,22,0,17,0,0,0,0,0,0,1,0,0,0,2,2,3,3,1,0,0,1,58.0,72.0,78.0,73.0,72.0 +10.0,4,7,6.0,55,5965373.0,47.0,10.0,105463.0,189.586,hamilton,44.0,British,mercedes,German,2013,17,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,1.0,334.0,2.0,3.0,100693.0,100477.0,100501.0,39,28,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,100477.0,100693.0,100557.0,22,6,127,5,0,4,2,5,1,0,0,1,0,0,1,0,0,0,0,0,0,130.0,89.0,85.0,82.0,82.0 +11.0,5,14,0.0,54,,52.0,12.0,105570.0,189.394,hulkenberg,27.0,German,sauber,Swiss,2013,17,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,45.0,7.0,0.0,101631.0,100931.0,100576.0,37,26,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,100576.0,101631.0,101046.0,23,3,56,0,0,0,1,1,1,0,1,1,3,2,1,1,0,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +22.0,21,20,0.0,53,,52.0,20.0,107619.0,185.788,jules_bianchi,17.0,French,marussia,Russian,2013,17,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+2 Laps,0.0,0.0,10.0,0.0,103398.0,103398.0,103398.0,35,24,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,103398.0,103398.0,103398.0,24,0,17,0,0,0,0,0,0,0,0,0,0,0,0,1,0,2,3,1,4,58.0,72.0,78.0,73.0,72.0 +16.0,14,11,0.0,55,5982095.0,55.0,11.0,105530.0,189.466,maldonado,13.0,Venezuelan,williams,British,2013,17,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,1.0,9.0,0.0,101365.0,101395.0,101395.0,39,28,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,101365.0,101395.0,101385.0,26,2,56,0,0,0,0,0,0,0,0,0,1,3,1,1,3,1,2,1,0,72.0,76.0,76.0,76.0,74.0 +4.0,7,8,4.0,55,5968992.0,52.0,9.0,105447.0,189.615,massa,19.0,Brazilian,ferrari,Italian,2013,17,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,323.0,3.0,2.0,101254.0,100989.0,101015.0,43,32,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,100989.0,101254.0,101086.0,25,7,138,1,0,1,3,1,3,1,2,1,1,0,0,0,0,1,0,0,0,137.0,87.0,90.0,80.0,83.0 +6.0,8,9,2.0,55,5977304.0,51.0,8.0,105435.0,189.637,perez,11.0,Mexican,mclaren,British,2013,17,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,95.0,5.0,0.0,101687.0,100812.0,101068.0,34,23,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,100812.0,101687.0,101189.0,21,2,55,0,0,0,0,1,1,0,2,3,1,4,1,0,0,1,1,0,0,72.0,76.0,76.0,76.0,74.0 +20.0,19,19,0.0,54,,50.0,18.0,106432.0,187.86,pic,40.0,French,caterham,Malaysian,2013,17,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,0.0,11.0,0.0,103528.0,103528.0,103528.0,34,23,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,103528.0,103528.0,103528.0,22,1,37,0,0,0,0,0,0,0,0,0,0,0,0,0,2,2,2,4,2,72.0,76.0,76.0,76.0,74.0 +14.0,11,6,8.0,55,5964280.0,55.0,14.0,105786.0,189.007,resta,95.0,British,force_india,Indian,2013,17,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,77.0,6.0,0.0,101676.0,101133.0,101133.0,38,27,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,101133.0,101676.0,101314.0,25,2,56,0,0,0,1,0,0,2,3,2,0,2,0,0,0,0,0,0,1,72.0,76.0,76.0,76.0,74.0 +19.0,9,16,0.0,54,,46.0,16.0,106042.0,188.551,ricciardo,3.0,Australian,toro_rosso,Italian,2013,17,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,32.0,8.0,0.0,101884.0,100852.0,101111.0,35,24,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,100852.0,101884.0,101282.33333333331,22,2,48,0,0,0,0,0,0,2,1,0,3,0,1,2,0,1,1,0,2,72.0,76.0,76.0,76.0,74.0 +9.0,3,3,15.0,55,5919756.0,51.0,6.0,104458.0,191.41,rosberg,6.0,German,mercedes,German,2013,17,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,2.0,334.0,2.0,3.0,101420.0,100473.0,100419.0,39,28,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,100419.0,101420.0,100770.66666666669,21,7,145,3,1,0,3,1,2,1,1,2,0,0,0,0,0,0,0,0,0,147.0,88.0,80.0,84.0,83.0 +15.0,17,10,1.0,55,5979363.0,48.0,13.0,105609.0,189.324,sutil,99.0,German,force_india,Indian,2013,17,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,77.0,6.0,0.0,102051.0,102051.0,102051.0,41,30,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,102051.0,102051.0,102051.0,24,6,107,0,0,0,0,1,0,2,0,2,2,0,0,3,1,0,1,0,0,107.0,80.0,80.0,79.0,78.0 +18.0,13,17,0.0,54,,53.0,7.0,104517.0,191.302,vergne,25.0,French,toro_rosso,Italian,2013,17,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,32.0,8.0,0.0,101692.0,101279.0,101279.0,34,23,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,101279.0,101692.0,101416.66666666669,22,1,37,0,0,0,0,0,1,0,1,0,1,0,5,1,1,0,0,0,1,72.0,76.0,76.0,76.0,74.0 +1.0,2,1,25.0,55,5886106.0,51.0,2.0,103893.0,192.451,vettel,5.0,German,red_bull,Austrian,2013,17,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,10.0,513.0,1.0,11.0,101683.0,100781.0,100075.0,37,26,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,100075.0,101683.0,100846.33333333331,20,6,118,13,1,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,115.0,80.0,78.0,82.0,78.0 +2.0,1,2,18.0,55,5916935.0,49.0,5.0,104364.0,191.583,webber,91.0,Australian,red_bull,Austrian,2013,17,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,513.0,1.0,11.0,101568.0,100575.0,99957.0,48,37,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,99957.0,101568.0,100700.0,30,7,145,5,3,2,2,2,1,2,0,0,0,0,0,0,0,1,0,0,0,147.0,88.0,80.0,84.0,83.0 +3.0,6,5,10.0,56,5986740.0,52.0,10.0,101186.0,196.141,alonso,14.0,Spanish,ferrari,Italian,2013,18,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,2.0,333.0,3.0,2.0,98929.0,97368.0,97376.0,43,32,"Partly cloudy, warmTemperatures reaching up to 89.1 °F (31.7 °C); wind speeds approaching speeds of 11.1 miles per hour (17.9 km/h)[2]",1,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,97368.0,98929.0,97891.0,25,7,146,8,5,1,2,2,1,1,1,0,0,1,0,0,0,0,0,0,0,147.0,88.0,80.0,84.0,83.0 +17.0,9,8,4.0,56,6011657.0,54.0,3.0,100492.0,197.496,bottas,77.0,Finnish,williams,British,2013,18,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,0.0,5.0,9.0,0.0,97821.0,97439.0,97836.0,35,24,"Partly cloudy, warmTemperatures reaching up to 89.1 °F (31.7 °C); wind speeds approaching speeds of 11.1 miles per hour (17.9 km/h)[2]",1,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,97439.0,97836.0,97698.66666666669,24,0,18,0,0,0,0,0,0,0,0,0,0,1,3,2,3,3,3,1,0,58.0,72.0,78.0,73.0,72.0 +5.0,15,10,1.0,56,6034426.0,50.0,12.0,101285.0,195.95,button,22.0,British,mclaren,British,2013,18,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,0.0,102.0,5.0,0.0,98588.0,98217.0,98217.0,44,33,"Partly cloudy, warmTemperatures reaching up to 89.1 °F (31.7 °C); wind speeds approaching speeds of 11.1 miles per hour (17.9 km/h)[2]",1,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,98217.0,98588.0,98340.66666666669,26,7,146,0,0,0,0,1,3,2,2,2,2,0,2,1,1,0,0,1,0,147.0,88.0,80.0,84.0,83.0 +21.0,18,19,0.0,55,,45.0,20.0,103933.0,190.957,garde,32.0,Dutch,caterham,Malaysian,2013,18,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,+1 Lap,0.0,0.0,11.0,0.0,100491.0,100491.0,100491.0,39,28,"Partly cloudy, warmTemperatures reaching up to 89.1 °F (31.7 °C); wind speeds approaching speeds of 11.1 miles per hour (17.9 km/h)[2]",1,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,100491.0,100491.0,100491.0,28,0,18,0,0,0,0,0,0,0,0,0,0,0,0,0,1,3,2,0,6,58.0,72.0,78.0,73.0,72.0 +8.0,3,2,18.0,56,5963432.0,52.0,2.0,100445.0,197.588,grosjean,8.0,French,lotus_f1,British,2013,18,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,0.0,315.0,4.0,1.0,98676.0,97523.0,97155.0,38,27,"Partly cloudy, warmTemperatures reaching up to 89.1 °F (31.7 °C); wind speeds approaching speeds of 11.1 miles per hour (17.9 km/h)[2]",1,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,97155.0,98676.0,97784.66666666669,23,4,44,5,0,5,1,0,2,0,2,1,1,0,0,1,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +12.0,20,14,0.0,56,6048855.0,51.0,14.0,101401.0,195.725,gutierrez,21.0,Mexican,sauber,Swiss,2013,18,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,0.0,53.0,7.0,0.0,98082.0,98031.0,98034.0,33,22,"Partly cloudy, warmTemperatures reaching up to 89.1 °F (31.7 °C); wind speeds approaching speeds of 11.1 miles per hour (17.9 km/h)[2]",1,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,98031.0,98082.0,98049.0,22,0,18,0,0,0,0,0,0,1,0,0,0,2,2,4,3,1,0,0,1,58.0,72.0,78.0,73.0,72.0 +10.0,5,4,12.0,56,5984506.0,50.0,5.0,100818.0,196.857,hamilton,44.0,British,mercedes,German,2013,18,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,1.0,348.0,2.0,3.0,97959.0,97854.0,97345.0,39,28,"Partly cloudy, warmTemperatures reaching up to 89.1 °F (31.7 °C); wind speeds approaching speeds of 11.1 miles per hour (17.9 km/h)[2]",1,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,97345.0,97959.0,97719.33333333331,22,6,128,5,0,4,2,5,1,1,0,1,0,0,1,0,0,0,0,0,0,133.0,90.0,90.0,81.0,84.0 +11.0,4,6,8.0,56,5987548.0,54.0,6.0,100952.0,196.596,hulkenberg,27.0,German,sauber,Swiss,2013,18,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,0.0,53.0,7.0,0.0,98339.0,97828.0,97296.0,37,26,"Partly cloudy, warmTemperatures reaching up to 89.1 °F (31.7 °C); wind speeds approaching speeds of 11.1 miles per hour (17.9 km/h)[2]",1,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,97296.0,98339.0,97821.0,23,3,57,0,0,0,1,1,1,0,1,1,3,2,1,1,1,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +22.0,19,18,0.0,55,,45.0,18.0,103419.0,191.906,jules_bianchi,17.0,French,marussia,Russian,2013,18,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,+1 Lap,0.0,0.0,10.0,0.0,100528.0,100528.0,100528.0,35,24,"Partly cloudy, warmTemperatures reaching up to 89.1 °F (31.7 °C); wind speeds approaching speeds of 11.1 miles per hour (17.9 km/h)[2]",1,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,100528.0,100528.0,100528.0,24,0,18,0,0,0,0,0,0,0,0,0,0,0,0,1,0,2,3,1,4,58.0,72.0,78.0,73.0,72.0 +7.0,8,15,0.0,56,6052211.0,52.0,7.0,101028.0,196.448,kovalainen,52.0,Finnish,lotus_f1,British,2013,18,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,0.0,315.0,4.0,1.0,98375.0,98078.0,97715.0,43,32,"Partly cloudy, warmTemperatures reaching up to 89.1 °F (31.7 °C); wind speeds approaching speeds of 11.1 miles per hour (17.9 km/h)[2]",1,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,97715.0,98375.0,98056.0,26,6,111,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,112.0,80.0,79.0,81.0,78.0 +16.0,17,17,0.0,55,,42.0,17.0,103058.0,192.578,maldonado,13.0,Venezuelan,williams,British,2013,18,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,+1 Lap,0.0,5.0,9.0,0.0,99351.0,99351.0,99351.0,39,28,"Partly cloudy, warmTemperatures reaching up to 89.1 °F (31.7 °C); wind speeds approaching speeds of 11.1 miles per hour (17.9 km/h)[2]",1,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,99351.0,99351.0,99351.0,26,2,57,0,0,0,0,0,0,0,0,0,1,4,1,1,3,1,2,1,0,72.0,76.0,76.0,76.0,74.0 +4.0,13,13,0.0,56,6044062.0,53.0,11.0,101209.0,196.097,massa,19.0,Brazilian,ferrari,Italian,2013,18,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,0.0,333.0,3.0,2.0,99094.0,98592.0,98592.0,43,32,"Partly cloudy, warmTemperatures reaching up to 89.1 °F (31.7 °C); wind speeds approaching speeds of 11.1 miles per hour (17.9 km/h)[2]",1,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,98592.0,99094.0,98759.33333333331,25,7,139,1,0,1,3,1,3,1,3,1,1,0,0,0,0,1,0,0,0,137.0,87.0,90.0,80.0,83.0 +6.0,7,7,6.0,56,6003840.0,47.0,15.0,101830.0,194.901,perez,11.0,Mexican,mclaren,British,2013,18,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,0.0,102.0,5.0,0.0,98367.0,98040.0,97452.0,34,23,"Partly cloudy, warmTemperatures reaching up to 89.1 °F (31.7 °C); wind speeds approaching speeds of 11.1 miles per hour (17.9 km/h)[2]",1,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,97452.0,98367.0,97953.0,21,2,56,0,0,0,0,1,1,0,2,4,1,4,1,0,0,1,1,0,0,72.0,76.0,76.0,76.0,74.0 +20.0,22,20,0.0,55,,48.0,21.0,103968.0,190.893,pic,40.0,French,caterham,Malaysian,2013,18,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,+1 Lap,0.0,0.0,11.0,0.0,100596.0,100596.0,100596.0,34,23,"Partly cloudy, warmTemperatures reaching up to 89.1 °F (31.7 °C); wind speeds approaching speeds of 11.1 miles per hour (17.9 km/h)[2]",1,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,100596.0,100596.0,100596.0,22,1,38,0,0,0,0,0,0,0,0,0,0,0,0,0,2,2,2,4,2,72.0,76.0,76.0,76.0,74.0 +14.0,11,16,0.0,56,6054001.0,54.0,9.0,101148.0,196.215,resta,95.0,British,force_india,Indian,2013,18,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,0.0,77.0,6.0,0.0,98894.0,98139.0,98139.0,38,27,"Partly cloudy, warmTemperatures reaching up to 89.1 °F (31.7 °C); wind speeds approaching speeds of 11.1 miles per hour (17.9 km/h)[2]",1,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,98139.0,98894.0,98390.66666666669,25,2,57,0,0,0,1,0,1,2,3,2,0,2,0,0,0,0,0,0,1,72.0,76.0,76.0,76.0,74.0 +19.0,10,11,0.0,56,6038152.0,45.0,16.0,102119.0,194.349,ricciardo,3.0,Australian,toro_rosso,Italian,2013,18,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,0.0,32.0,8.0,0.0,98882.0,98131.0,98131.0,35,24,"Partly cloudy, warmTemperatures reaching up to 89.1 °F (31.7 °C); wind speeds approaching speeds of 11.1 miles per hour (17.9 km/h)[2]",1,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,98131.0,98882.0,98381.33333333331,22,2,49,0,0,0,0,0,0,2,1,0,3,0,1,2,0,1,2,0,2,72.0,76.0,76.0,76.0,74.0 +9.0,12,9,2.0,56,6016289.0,51.0,8.0,101133.0,196.244,rosberg,6.0,German,mercedes,German,2013,18,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,2.0,348.0,2.0,3.0,98743.0,98364.0,98364.0,39,28,"Partly cloudy, warmTemperatures reaching up to 89.1 °F (31.7 °C); wind speeds approaching speeds of 11.1 miles per hour (17.9 km/h)[2]",1,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,98364.0,98743.0,98490.33333333331,21,7,146,4,1,1,3,1,2,1,1,2,0,0,0,0,0,0,0,0,0,147.0,88.0,80.0,84.0,83.0 +18.0,14,12,0.0,56,6041722.0,52.0,13.0,101320.0,195.882,vergne,25.0,French,toro_rosso,Italian,2013,18,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,0.0,32.0,8.0,0.0,98880.0,98696.0,98696.0,34,23,"Partly cloudy, warmTemperatures reaching up to 89.1 °F (31.7 °C); wind speeds approaching speeds of 11.1 miles per hour (17.9 km/h)[2]",1,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,98696.0,98880.0,98757.33333333331,22,1,38,0,0,0,0,0,1,0,1,0,1,0,5,1,1,0,0,1,1,72.0,76.0,76.0,76.0,74.0 +1.0,1,1,25.0,56,5957148.0,54.0,1.0,99856.0,198.754,vettel,5.0,German,red_bull,Austrian,2013,18,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,11.0,553.0,1.0,12.0,98516.0,97065.0,96338.0,37,26,"Partly cloudy, warmTemperatures reaching up to 89.1 °F (31.7 °C); wind speeds approaching speeds of 11.1 miles per hour (17.9 km/h)[2]",1,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,96338.0,98516.0,97306.33333333331,20,6,119,14,1,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,115.0,80.0,78.0,82.0,78.0 +2.0,2,3,15.0,56,5965544.0,52.0,4.0,100591.0,197.301,webber,91.0,Australian,red_bull,Austrian,2013,18,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,0.0,553.0,1.0,12.0,98161.0,97312.0,96441.0,48,37,"Partly cloudy, warmTemperatures reaching up to 89.1 °F (31.7 °C); wind speeds approaching speeds of 11.1 miles per hour (17.9 km/h)[2]",1,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,96441.0,98161.0,97304.66666666669,30,7,146,6,4,2,2,2,1,2,0,0,0,0,0,0,0,1,0,0,0,147.0,88.0,80.0,84.0,83.0 +3.0,3,3,15.0,71,5575213.0,50.0,2.0,75496.0,205.473,alonso,14.0,Spanish,ferrari,Italian,2013,19,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,2.0,354.0,3.0,2.0,86656.0,86590.0,87539.0,43,32,"Cloudy, Air Temp: 18°C",0,0,0,0,1,Race circuit,Anti-clockwise,4.309,71.0,305.879,86590.0,87539.0,86928.33333333333,25,7,147,8,5,1,2,3,1,1,1,0,0,1,0,0,0,0,0,0,0,147.0,88.0,80.0,84.0,83.0 +5.0,14,4,12.0,71,5593660.0,52.0,7.0,76450.0,202.909,button,22.0,British,mclaren,British,2013,19,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,122.0,5.0,0.0,86398.0,88308.0,88308.0,44,33,"Cloudy, Air Temp: 18°C",0,0,0,0,1,Race circuit,Anti-clockwise,4.309,71.0,305.879,86398.0,88308.0,87671.33333333333,26,7,147,0,0,0,0,1,3,2,2,2,3,0,2,1,1,0,0,1,0,147.0,88.0,80.0,84.0,83.0 +23.0,22,19,0.0,69,,68.0,17.0,77281.0,200.727,chilton,4.0,British,marussia,Russian,2013,19,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+2 Laps,0.0,0.0,10.0,0.0,88950.0,88950.0,88950.0,33,22,"Cloudy, Air Temp: 18°C",0,0,0,0,1,Race circuit,Anti-clockwise,4.309,71.0,305.879,88950.0,88950.0,88950.0,22,0,19,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,7,0,58.0,72.0,78.0,73.0,72.0 +21.0,20,18,0.0,69,,51.0,19.0,77590.0,199.927,garde,32.0,Dutch,caterham,Malaysian,2013,19,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+2 Laps,0.0,0.0,11.0,0.0,88320.0,88320.0,88320.0,39,28,"Cloudy, Air Temp: 18°C",0,0,0,0,1,Race circuit,Anti-clockwise,4.309,71.0,305.879,88320.0,88320.0,88320.0,28,0,19,0,0,0,0,0,0,0,0,0,0,0,0,0,1,3,2,0,6,58.0,72.0,78.0,73.0,72.0 +12.0,17,12,0.0,70,,59.0,9.0,76528.0,202.702,gutierrez,21.0,Mexican,sauber,Swiss,2013,19,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,57.0,7.0,0.0,87455.0,87455.0,87455.0,33,22,"Cloudy, Air Temp: 18°C",0,0,0,0,1,Race circuit,Anti-clockwise,4.309,71.0,305.879,87455.0,87455.0,87455.0,22,0,19,0,0,0,0,0,0,1,0,0,0,2,2,4,4,1,0,0,1,58.0,72.0,78.0,73.0,72.0 +10.0,5,9,2.0,71,5629203.0,51.0,10.0,76692.0,202.268,hamilton,44.0,British,mercedes,German,2013,19,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,1.0,360.0,2.0,3.0,85342.0,86698.0,87677.0,39,28,"Cloudy, Air Temp: 18°C",0,0,0,0,1,Race circuit,Anti-clockwise,4.309,71.0,305.879,85342.0,87677.0,86572.33333333333,22,6,129,5,0,4,3,5,1,1,0,1,0,0,1,0,0,0,0,0,0,133.0,90.0,90.0,81.0,84.0 +11.0,10,8,4.0,71,5620552.0,49.0,12.0,76802.0,201.979,hulkenberg,27.0,German,sauber,Swiss,2013,19,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,57.0,7.0,0.0,86071.0,87441.0,89582.0,37,26,"Cloudy, Air Temp: 18°C",0,0,0,0,1,Race circuit,Anti-clockwise,4.309,71.0,305.879,86071.0,89582.0,87698.0,23,3,58,0,0,0,1,1,2,0,1,1,3,2,1,1,1,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +22.0,21,17,0.0,69,,67.0,20.0,77717.0,199.601,jules_bianchi,17.0,French,marussia,Russian,2013,19,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+2 Laps,0.0,0.0,10.0,0.0,88366.0,88366.0,88366.0,35,24,"Cloudy, Air Temp: 18°C",0,0,0,0,1,Race circuit,Anti-clockwise,4.309,71.0,305.879,88366.0,88366.0,88366.0,24,0,19,0,0,0,0,0,0,0,0,0,0,0,0,1,0,2,3,1,5,58.0,72.0,78.0,73.0,72.0 +7.0,11,14,0.0,70,,70.0,16.0,77249.0,200.81,kovalainen,52.0,Finnish,lotus_f1,British,2013,19,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,315.0,4.0,1.0,86266.0,87456.0,87456.0,43,32,"Cloudy, Air Temp: 18°C",0,0,0,0,1,Race circuit,Anti-clockwise,4.309,71.0,305.879,86266.0,87456.0,87059.33333333333,26,6,112,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,112.0,80.0,79.0,81.0,78.0 +16.0,16,16,0.0,70,,45.0,18.0,77554.0,200.02,maldonado,13.0,Venezuelan,williams,British,2013,19,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,5.0,9.0,0.0,87367.0,87367.0,87367.0,39,28,"Cloudy, Air Temp: 18°C",0,0,0,0,1,Race circuit,Anti-clockwise,4.309,71.0,305.879,87367.0,87367.0,87367.0,26,2,58,0,0,0,0,0,0,0,0,0,1,4,1,1,3,1,2,2,0,72.0,76.0,76.0,76.0,74.0 +4.0,9,7,6.0,71,5605410.0,49.0,8.0,76470.0,202.856,massa,19.0,Brazilian,ferrari,Italian,2013,19,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,354.0,3.0,2.0,86817.0,87049.0,88109.0,43,32,"Cloudy, Air Temp: 18°C",0,0,0,0,1,Race circuit,Anti-clockwise,4.309,71.0,305.879,86817.0,88109.0,87325.0,25,7,140,1,0,1,3,1,3,1,3,1,1,0,0,1,0,1,0,0,0,139.0,90.0,87.0,80.0,83.0 +6.0,19,6,8.0,71,5600351.0,50.0,5.0,76246.0,203.451,perez,11.0,Mexican,mclaren,British,2013,19,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,122.0,5.0,0.0,86741.0,88269.0,88269.0,34,23,"Cloudy, Air Temp: 18°C",0,0,0,0,1,Race circuit,Anti-clockwise,4.309,71.0,305.879,86741.0,88269.0,87759.66666666667,21,2,57,0,0,0,0,1,1,1,2,4,1,4,1,0,0,1,1,0,0,72.0,76.0,76.0,76.0,74.0 +14.0,12,11,0.0,70,,58.0,14.0,76855.0,201.839,resta,95.0,British,force_india,Indian,2013,19,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,77.0,6.0,0.0,86275.0,87798.0,87798.0,38,27,"Cloudy, Air Temp: 18°C",0,0,0,0,1,Race circuit,Anti-clockwise,4.309,71.0,305.879,86275.0,87798.0,87290.33333333333,25,2,58,0,0,0,1,0,1,2,3,2,0,2,0,0,0,0,1,0,1,72.0,76.0,76.0,76.0,74.0 +19.0,7,10,1.0,70,,45.0,15.0,76974.0,201.527,ricciardo,3.0,Australian,toro_rosso,Italian,2013,19,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,33.0,8.0,0.0,87209.0,87078.0,88052.0,35,24,"Cloudy, Air Temp: 18°C",0,0,0,0,1,Race circuit,Anti-clockwise,4.309,71.0,305.879,87078.0,88052.0,87446.33333333333,22,2,50,0,0,0,0,0,0,2,1,0,3,1,1,2,0,1,2,0,2,72.0,76.0,76.0,76.0,74.0 +9.0,2,5,10.0,71,5595348.0,60.0,6.0,76442.0,202.93,rosberg,6.0,German,mercedes,German,2013,19,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,2.0,360.0,2.0,3.0,85556.0,86626.0,87102.0,39,28,"Cloudy, Air Temp: 18°C",0,0,0,0,1,Race circuit,Anti-clockwise,4.309,71.0,305.879,85556.0,87102.0,86428.0,21,7,147,4,1,1,3,1,2,1,1,3,0,0,0,0,0,0,0,0,0,147.0,88.0,80.0,84.0,83.0 +15.0,15,13,0.0,70,,57.0,4.0,76049.0,203.979,sutil,99.0,German,force_india,Indian,2013,19,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,77.0,6.0,0.0,86874.0,88586.0,88586.0,41,30,"Cloudy, Air Temp: 18°C",0,0,0,0,1,Race circuit,Anti-clockwise,4.309,71.0,305.879,86874.0,88586.0,88015.33333333333,24,6,109,0,0,0,0,1,0,2,0,2,3,0,0,3,1,0,1,0,0,110.0,79.0,79.0,79.0,77.0 +18.0,8,15,0.0,70,,49.0,11.0,76790.0,202.01,vergne,25.0,French,toro_rosso,Italian,2013,19,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,33.0,8.0,0.0,87124.0,87363.0,88081.0,34,23,"Cloudy, Air Temp: 18°C",0,0,0,0,1,Race circuit,Anti-clockwise,4.309,71.0,305.879,87124.0,88081.0,87522.66666666667,22,1,39,0,0,0,0,0,1,0,1,0,1,0,6,1,1,0,0,1,1,72.0,76.0,76.0,76.0,74.0 +1.0,1,1,25.0,71,5556300.0,51.0,3.0,75624.0,205.125,vettel,5.0,German,red_bull,Austrian,2013,19,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,12.0,596.0,1.0,13.0,85381.0,86420.0,86479.0,37,26,"Cloudy, Air Temp: 18°C",0,0,0,0,1,Race circuit,Anti-clockwise,4.309,71.0,305.879,85381.0,86479.0,86093.33333333333,20,6,120,15,1,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,115.0,80.0,78.0,82.0,78.0 +2.0,4,2,18.0,71,5566752.0,51.0,1.0,75436.0,205.636,webber,91.0,Australian,red_bull,Austrian,2013,19,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,596.0,1.0,13.0,86689.0,86963.0,87572.0,48,37,"Cloudy, Air Temp: 18°C",0,0,0,0,1,Race circuit,Anti-clockwise,4.309,71.0,305.879,86689.0,87572.0,87074.66666666667,30,7,147,7,4,3,2,2,1,2,0,0,0,0,0,0,0,1,0,0,0,147.0,88.0,80.0,84.0,83.0 +14.0,5,4,12.0,57,5613994.0,57.0,7.0,93186.0,204.867,alonso,14.0,Spanish,ferrari,Italian,2014,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,18.0,3.0,0.0,91388.0,102805.0,105819.0,43,33,"Overcast, 19 °C(66 °F)",0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,91388.0,105819.0,100004.0,25,8,148,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,148.0,87.0,77.0,83.0,82.0 +77.0,15,5,10.0,57,5626349.0,56.0,3.0,92616.0,206.128,bottas,77.0,Finnish,williams,British,2014,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,10.0,4.0,0.0,91601.0,103852.0,108147.0,35,25,"Overcast, 19 °C(66 °F)",0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,91601.0,108147.0,101200.0,24,1,20,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +22.0,10,3,15.0,57,5608737.0,39.0,5.0,92917.0,205.46,button,22.0,British,mclaren,British,2014,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,33.0,1.0,0.0,91396.0,104437.0,104437.0,44,34,"Overcast, 19 °C(66 °F)",0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,91396.0,104437.0,100090.0,26,8,148,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,148.0,87.0,77.0,83.0,82.0 +4.0,17,13,0.0,55,,33.0,12.0,94202.0,202.658,chilton,4.0,British,marussia,Russian,2014,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+2 Laps,0.0,0.0,8.0,0.0,94293.0,94293.0,94293.0,33,23,"Overcast, 19 °C(66 °F)",0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,94293.0,94293.0,94293.0,22,1,20,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +21.0,20,12,0.0,56,,41.0,13.0,94564.0,201.882,gutierrez,21.0,Mexican,sauber,Swiss,2014,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+1 Lap,0.0,0.0,7.0,0.0,95117.0,95117.0,95117.0,33,23,"Overcast, 19 °C(66 °F)",0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,95117.0,95117.0,95117.0,22,1,20,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +27.0,7,6,8.0,57,5629428.0,56.0,2.0,92568.0,206.235,hulkenberg,27.0,German,force_india,Indian,2014,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,9.0,5.0,0.0,93893.0,103658.0,106030.0,37,27,"Overcast, 19 °C(66 °F)",0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,93893.0,106030.0,101193.66666666669,23,4,59,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +17.0,18,14,0.0,49,,55.0,16.0,95635.0,199.621,jules_bianchi,17.0,French,marussia,Russian,2014,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+8 Laps,0.0,0.0,8.0,0.0,94794.0,94794.0,94794.0,35,25,"Overcast, 19 °C(66 °F)",0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,94794.0,94794.0,94794.0,24,1,20,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +20.0,4,2,18.0,57,5605487.0,49.0,6.0,93066.0,205.131,kevin_magnussen,20.0,Danish,mclaren,British,2014,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,33.0,1.0,0.0,90949.0,103247.0,105745.0,32,22,"Overcast, 19 °C(66 °F)",0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,90949.0,105745.0,99980.33333333331,22,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +26.0,8,9,2.0,57,5642295.0,35.0,11.0,93864.0,203.387,kvyat,26.0,Russian,toro_rosso,Italian,2014,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,6.0,6.0,0.0,93777.0,104331.0,107368.0,30,20,"Overcast, 19 °C(66 °F)",0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,93777.0,107368.0,101825.33333333331,20,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,16,10,1.0,57,5664626.0,38.0,4.0,92634.0,206.088,perez,11.0,Mexican,force_india,Indian,2014,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,9.0,5.0,0.0,94141.0,107293.0,107293.0,34,24,"Overcast, 19 °C(66 °F)",0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,94141.0,107293.0,102909.0,21,3,58,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +7.0,11,7,6.0,57,5636385.0,56.0,8.0,93210.0,204.814,raikkonen,7.0,Finnish,ferrari,Italian,2014,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,18.0,3.0,0.0,92439.0,104494.0,104494.0,45,35,"Overcast, 19 °C(66 °F)",0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,92439.0,104494.0,100475.66666666669,27,8,108,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,107.0,80.0,80.0,79.0,78.0 +6.0,3,1,25.0,57,5578710.0,19.0,1.0,92478.0,206.436,rosberg,6.0,German,mercedes,German,2014,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,25.0,2.0,1.0,92564.0,102264.0,104595.0,39,29,"Overcast, 19 °C(66 °F)",0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,92564.0,104595.0,99807.66666666669,21,8,148,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,148.0,87.0,77.0,83.0,82.0 +99.0,13,11,0.0,56,,34.0,9.0,93366.0,204.472,sutil,99.0,German,sauber,Swiss,2014,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+1 Lap,0.0,0.0,7.0,0.0,93673.0,105655.0,105655.0,41,31,"Overcast, 19 °C(66 °F)",0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,93673.0,105655.0,101661.0,24,7,110,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,110.0,79.0,79.0,79.0,77.0 +25.0,6,8,4.0,57,5639151.0,56.0,10.0,93691.0,203.763,vergne,25.0,French,toro_rosso,Italian,2014,1,Australian Grand Prix,21600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,6.0,6.0,0.0,93488.0,103849.0,105864.0,34,24,"Overcast, 19 °C(66 °F)",0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,93488.0,105864.0,101067.0,22,2,40,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +14.0,4,4,12.0,56,6061966.0,47.0,3.0,104165.0,191.569,alonso,14.0,Spanish,ferrari,Italian,2014,2,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,30.0,3.0,0.0,118889.0,121356.0,120175.0,43,33,"Dry, 32°C",0,0,1,0,0,Race circuit,Clockwise,5.543,56.0,310.408,118889.0,121356.0,120140.0,25,8,149,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,148.0,87.0,77.0,83.0,82.0 +77.0,18,8,4.0,56,6111511.0,31.0,9.0,105475.0,189.189,bottas,77.0,Finnish,williams,British,2014,2,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,20.0,4.0,0.0,119709.0,122756.0,122756.0,35,25,"Dry, 32°C",0,0,1,0,0,Race circuit,Clockwise,5.543,56.0,310.408,119709.0,122756.0,121740.33333333331,24,1,21,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +22.0,10,6,8.0,56,6109665.0,47.0,11.0,106039.0,188.183,button,22.0,British,mclaren,British,2014,2,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,43.0,2.0,0.0,120889.0,121810.0,124053.0,44,34,"Dry, 32°C",0,0,1,0,0,Race circuit,Clockwise,5.543,56.0,310.408,120889.0,124053.0,122250.66666666669,26,8,149,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,148.0,87.0,77.0,83.0,82.0 +4.0,21,15,0.0,54,,49.0,18.0,108249.0,184.341,chilton,4.0,British,marussia,Russian,2014,2,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+2 Laps,0.0,0.0,11.0,0.0,124388.0,124388.0,124388.0,33,23,"Dry, 32°C",0,0,1,0,0,Race circuit,Clockwise,5.543,56.0,310.408,124388.0,124388.0,124388.0,22,1,21,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +9.0,22,14,0.0,54,,40.0,14.0,107500.0,185.626,ericsson,9.0,Swedish,caterham,Malaysian,2014,2,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+2 Laps,0.0,0.0,10.0,0.0,124407.0,124407.0,124407.0,34,24,"Dry, 32°C",0,0,1,0,0,Race circuit,Clockwise,5.543,56.0,310.408,124407.0,124407.0,124407.0,24,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +8.0,15,11,0.0,55,,42.0,12.0,106224.0,187.855,grosjean,8.0,French,lotus_f1,British,2014,2,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+1 Lap,0.0,0.0,9.0,0.0,120202.0,122885.0,122885.0,38,28,"Dry, 32°C",0,0,1,0,0,Race circuit,Clockwise,5.543,56.0,310.408,120202.0,122885.0,121990.66666666669,23,5,47,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +44.0,1,1,25.0,56,6025974.0,53.0,1.0,103066.0,193.611,hamilton,44.0,British,mercedes,German,2014,2,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,68.0,1.0,2.0,117202.0,119041.0,119431.0,39,29,"Dry, 32°C",0,0,1,0,0,Race circuit,Clockwise,5.543,56.0,310.408,117202.0,119431.0,118558.0,22,7,131,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,133.0,90.0,90.0,81.0,84.0 +27.0,7,5,10.0,56,6073173.0,38.0,10.0,105982.0,188.284,hulkenberg,27.0,German,force_india,Indian,2014,2,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,19.0,5.0,0.0,118883.0,120839.0,121712.0,37,27,"Dry, 32°C",0,0,1,0,0,Race circuit,Clockwise,5.543,56.0,310.408,118883.0,121712.0,120478.0,23,4,60,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +20.0,8,9,2.0,55,,44.0,8.0,105373.0,189.372,kevin_magnussen,20.0,Danish,mclaren,British,2014,2,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+1 Lap,0.0,43.0,2.0,0.0,120356.0,122094.0,122213.0,32,22,"Dry, 32°C",0,0,1,0,0,Race circuit,Clockwise,5.543,56.0,310.408,120356.0,122213.0,121554.33333333331,22,0,2,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +10.0,20,13,0.0,55,,53.0,15.0,107753.0,185.19,kobayashi,10.0,Japanese,caterham,Malaysian,2014,2,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+1 Lap,0.0,0.0,10.0,0.0,123595.0,123595.0,123595.0,38,28,"Dry, 32°C",0,0,1,0,0,Race circuit,Clockwise,5.543,56.0,310.408,123595.0,123595.0,123595.0,23,5,62,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +26.0,11,10,1.0,55,,36.0,13.0,106695.0,187.026,kvyat,26.0,Russian,toro_rosso,Italian,2014,2,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+1 Lap,0.0,7.0,7.0,0.0,121175.0,122351.0,122351.0,30,20,"Dry, 32°C",0,0,1,0,0,Race circuit,Clockwise,5.543,56.0,310.408,121175.0,122351.0,121959.0,20,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +19.0,13,7,6.0,56,6111050.0,44.0,6.0,104897.0,190.232,massa,19.0,Brazilian,williams,British,2014,2,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,20.0,4.0,0.0,120047.0,122460.0,122460.0,43,33,"Dry, 32°C",0,0,1,0,0,Race circuit,Clockwise,5.543,56.0,310.408,120047.0,122460.0,121655.66666666669,25,8,142,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,141.0,89.0,85.0,83.0,83.0 +7.0,6,12,0.0,55,,36.0,7.0,105129.0,189.812,raikkonen,7.0,Finnish,ferrari,Italian,2014,2,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+1 Lap,0.0,30.0,3.0,0.0,119257.0,121532.0,121218.0,45,35,"Dry, 32°C",0,0,1,0,0,Race circuit,Clockwise,5.543,56.0,310.408,119257.0,121532.0,120669.0,27,8,109,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,110.0,79.0,79.0,79.0,77.0 +6.0,3,2,18.0,56,6043287.0,55.0,2.0,103960.0,191.946,rosberg,6.0,German,mercedes,German,2014,2,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,1.0,68.0,1.0,2.0,117183.0,119445.0,120050.0,39,29,"Dry, 32°C",0,0,1,0,0,Race circuit,Clockwise,5.543,56.0,310.408,117183.0,120050.0,118892.66666666669,21,8,149,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,148.0,87.0,77.0,83.0,82.0 +1.0,2,3,15.0,56,6050508.0,51.0,4.0,104289.0,191.341,vettel,5.0,German,red_bull,Austrian,2014,2,Malaysian Grand Prix,28800000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,15.0,6.0,0.0,117654.0,119399.0,119486.0,37,27,"Dry, 32°C",0,0,1,0,0,Race circuit,Clockwise,5.543,56.0,310.408,117654.0,119486.0,118846.33333333331,20,7,122,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,123.0,88.0,82.0,85.0,83.0 +14.0,9,9,2.0,57,6015338.0,53.0,12.0,99732.0,195.355,alonso,14.0,Spanish,ferrari,Italian,2014,3,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,33.0,5.0,0.0,95251.0,94723.0,94992.0,43,33,Dry,0,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,94723.0,95251.0,94988.66666666669,25,8,150,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,152.0,88.0,78.0,87.0,84.0 +77.0,3,8,4.0,57,6014619.0,50.0,13.0,99762.0,195.296,bottas,77.0,Finnish,williams,British,2014,3,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,30.0,6.0,0.0,94934.0,94842.0,94247.0,35,25,Dry,0,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,94247.0,94934.0,94674.33333333331,24,1,22,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +4.0,21,13,0.0,57,6042652.0,48.0,21.0,101825.0,191.34,chilton,4.0,British,marussia,Russian,2014,3,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,0.0,10.0,0.0,97913.0,97913.0,97913.0,33,23,Dry,0,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,97913.0,97913.0,97913.0,22,1,22,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,16,12,0.0,57,6025886.0,39.0,9.0,99443.0,195.923,grosjean,8.0,French,lotus_f1,British,2014,3,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,0.0,8.0,0.0,96654.0,95908.0,95908.0,38,28,Dry,0,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,95908.0,96654.0,96156.66666666669,23,5,48,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +44.0,2,1,25.0,57,5982743.0,49.0,2.0,97108.0,200.634,hamilton,44.0,British,mercedes,German,2014,3,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,1.0,111.0,1.0,3.0,95323.0,93872.0,93464.0,39,29,Dry,0,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,93464.0,95323.0,94219.66666666669,22,7,132,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,133.0,90.0,90.0,81.0,84.0 +27.0,11,5,10.0,57,6011397.0,37.0,3.0,98785.0,197.228,hulkenberg,27.0,German,force_india,Indian,2014,3,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,44.0,2.0,0.0,94874.0,95116.0,95116.0,37,27,Dry,0,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,94874.0,95116.0,95035.33333333331,23,4,61,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +17.0,19,16,0.0,56,,44.0,22.0,102175.0,190.684,jules_bianchi,17.0,French,marussia,Russian,2014,3,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,0.0,10.0,0.0,97310.0,97310.0,97310.0,35,25,Dry,0,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,97310.0,97310.0,97310.0,24,1,22,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +10.0,18,15,0.0,57,6070643.0,17.0,18.0,101246.0,192.434,kobayashi,10.0,Japanese,caterham,Malaysian,2014,3,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,0.0,11.0,0.0,97085.0,97085.0,97085.0,38,28,Dry,0,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,97085.0,97085.0,97085.0,23,5,63,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +26.0,12,11,0.0,57,6024085.0,12.0,15.0,100160.0,194.52,kvyat,26.0,Russian,toro_rosso,Italian,2014,3,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,7.0,7.0,0.0,95395.0,95145.0,95145.0,30,20,Dry,0,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,95145.0,95395.0,95228.33333333331,20,0,3,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +13.0,17,14,0.0,57,6045546.0,52.0,11.0,99666.0,195.484,maldonado,13.0,Venezuelan,lotus_f1,British,2014,3,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,0.0,8.0,0.0,96663.0,96663.0,96663.0,39,29,Dry,0,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,96663.0,96663.0,96663.0,26,3,61,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +19.0,7,7,6.0,57,6014008.0,40.0,5.0,99272.0,196.26,massa,19.0,Brazilian,williams,British,2014,3,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,30.0,6.0,0.0,95085.0,94842.0,94511.0,43,33,Dry,0,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,94511.0,95085.0,94812.66666666669,25,8,143,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,147.0,88.0,80.0,84.0,83.0 +11.0,4,3,15.0,57,6006810.0,36.0,7.0,99320.0,196.165,perez,11.0,Mexican,force_india,Indian,2014,3,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,44.0,2.0,0.0,94998.0,94747.0,94346.0,34,24,Dry,0,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,94346.0,94998.0,94697.0,21,3,60,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +7.0,5,10,1.0,57,6016205.0,35.0,8.0,99438.0,195.933,raikkonen,7.0,Finnish,ferrari,Italian,2014,3,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,33.0,5.0,0.0,95234.0,94925.0,94368.0,45,35,Dry,0,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,94368.0,95234.0,94842.33333333331,27,8,110,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,110.0,79.0,79.0,79.0,77.0 +3.0,13,4,12.0,57,6007232.0,38.0,4.0,99269.0,196.266,ricciardo,3.0,Australian,red_bull,Austrian,2014,3,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,35.0,4.0,0.0,96220.0,94592.0,94051.0,35,25,Dry,0,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,94051.0,96220.0,94954.33333333331,22,3,53,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +6.0,1,2,18.0,57,5983828.0,49.0,1.0,97020.0,200.816,rosberg,6.0,German,mercedes,German,2014,3,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,1.0,111.0,1.0,3.0,95439.0,93708.0,93185.0,39,29,Dry,0,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,93185.0,95439.0,94110.66666666669,21,8,150,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,152.0,88.0,78.0,87.0,84.0 +1.0,10,6,8.0,57,6012622.0,18.0,6.0,99312.0,196.181,vettel,5.0,German,red_bull,Austrian,2014,3,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,35.0,4.0,0.0,95549.0,94985.0,94985.0,37,27,Dry,0,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,94985.0,95549.0,95173.0,20,7,123,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,123.0,88.0,82.0,85.0,83.0 +14.0,5,3,15.0,54,5631942.0,48.0,4.0,102081.0,192.235,alonso,14.0,Spanish,ferrari,Italian,2014,4,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,52.0,4.0,0.0,116961.0,115765.0,115637.0,43,33,"Mostly cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,5.451,56.0,305.066,115637.0,116961.0,116121.0,25,8,151,0,0,0,2,0,0,0,0,1,0,0,0,0,0,0,0,0,0,152.0,88.0,78.0,87.0,84.0 +77.0,7,7,6.0,54,5664035.0,52.0,11.0,102660.0,191.151,bottas,77.0,Finnish,williams,British,2014,4,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,36.0,6.0,0.0,116501.0,116253.0,116282.0,35,25,"Mostly cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,5.451,56.0,305.066,116253.0,116501.0,116345.33333333331,24,1,23,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +22.0,12,11,0.0,53,,30.0,18.0,103375.0,189.829,button,22.0,British,mclaren,British,2014,4,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+1 Lap,0.0,43.0,5.0,0.0,117783.0,116963.0,116963.0,44,34,"Mostly cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,5.451,56.0,305.066,116963.0,117783.0,117236.33333333331,26,8,151,1,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,152.0,88.0,78.0,87.0,84.0 +4.0,21,19,0.0,52,,50.0,13.0,102875.0,190.751,chilton,4.0,British,marussia,Russian,2014,4,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+2 Laps,0.0,0.0,10.0,0.0,120865.0,120865.0,120865.0,33,23,"Mostly cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,5.451,56.0,305.066,120865.0,120865.0,120865.0,22,1,23,0,0,0,0,0,0,0,0,0,0,0,0,2,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +9.0,20,20,0.0,52,,30.0,19.0,103620.0,189.38,ericsson,9.0,Swedish,caterham,Malaysian,2014,4,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+2 Laps,0.0,0.0,11.0,0.0,120646.0,120646.0,120646.0,34,24,"Mostly cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,5.451,56.0,305.066,120646.0,120646.0,120646.0,24,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +21.0,17,16,0.0,53,,42.0,7.0,102257.0,191.904,gutierrez,21.0,Mexican,sauber,Swiss,2014,4,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+1 Lap,0.0,0.0,9.0,0.0,118988.0,118988.0,118988.0,33,23,"Mostly cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,5.451,56.0,305.066,118988.0,118988.0,118988.0,22,1,23,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +44.0,1,1,25.0,54,5608338.0,42.0,2.0,101196.0,193.916,hamilton,44.0,British,mercedes,German,2014,4,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,2.0,154.0,1.0,4.0,115516.0,114029.0,113860.0,39,29,"Mostly cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,5.451,56.0,305.066,113860.0,115516.0,114468.33333333331,22,7,133,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,134.0,87.0,90.0,80.0,83.0 +27.0,8,6,8.0,54,5662633.0,33.0,10.0,102624.0,191.218,hulkenberg,27.0,German,force_india,Indian,2014,4,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,54.0,3.0,0.0,115913.0,116847.0,116366.0,37,27,"Mostly cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,5.451,56.0,305.066,115913.0,116847.0,116375.33333333331,23,4,62,0,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +17.0,19,17,0.0,53,,36.0,21.0,104825.0,187.203,jules_bianchi,17.0,French,marussia,Russian,2014,4,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+1 Lap,0.0,0.0,10.0,0.0,119326.0,119326.0,119326.0,35,25,"Mostly cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,5.451,56.0,305.066,119326.0,119326.0,119326.0,24,1,23,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +20.0,15,13,0.0,53,,33.0,12.0,102701.0,191.075,kevin_magnussen,20.0,Danish,mclaren,British,2014,4,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+1 Lap,0.0,43.0,5.0,0.0,117369.0,117675.0,117675.0,32,22,"Mostly cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,5.451,56.0,305.066,117369.0,117675.0,117573.0,22,0,4,1,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +10.0,18,18,0.0,53,,48.0,16.0,103323.0,189.924,kobayashi,10.0,Japanese,caterham,Malaysian,2014,4,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+1 Lap,0.0,0.0,11.0,0.0,119260.0,119260.0,119260.0,38,28,"Mostly cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,5.451,56.0,305.066,119260.0,119260.0,119260.0,23,5,64,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +26.0,13,10,1.0,53,,33.0,17.0,103337.0,189.899,kvyat,26.0,Russian,toro_rosso,Italian,2014,4,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+1 Lap,0.0,8.0,7.0,0.0,117261.0,117289.0,117289.0,30,20,"Mostly cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,5.451,56.0,305.066,117261.0,117289.0,117279.66666666669,20,0,4,0,0,0,0,0,0,0,0,1,1,1,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +13.0,22,14,0.0,53,,34.0,15.0,103067.0,190.396,maldonado,13.0,Venezuelan,lotus_f1,British,2014,4,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+1 Lap,0.0,0.0,8.0,0.0,120865.0,120865.0,120865.0,39,29,"Mostly cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,5.451,56.0,305.066,120865.0,120865.0,120865.0,26,3,62,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +19.0,6,15,0.0,53,,34.0,9.0,102379.0,191.676,massa,19.0,Brazilian,williams,British,2014,4,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+1 Lap,0.0,36.0,6.0,0.0,116850.0,116757.0,116147.0,43,33,"Mostly cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,5.451,56.0,305.066,116147.0,116850.0,116584.66666666669,25,8,144,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,147.0,88.0,80.0,84.0,83.0 +11.0,16,9,2.0,54,5690985.0,32.0,6.0,102228.0,191.959,perez,11.0,Mexican,force_india,Indian,2014,4,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,54.0,3.0,0.0,118362.0,118264.0,118264.0,34,24,"Mostly cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,5.451,56.0,305.066,118264.0,118362.0,118296.66666666669,21,3,61,1,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +7.0,11,8,4.0,54,5684673.0,34.0,8.0,102300.0,191.824,raikkonen,7.0,Finnish,ferrari,Italian,2014,4,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,52.0,4.0,0.0,118279.0,116860.0,116860.0,45,35,"Mostly cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,5.451,56.0,305.066,116860.0,118279.0,117333.0,27,8,111,0,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,112.0,80.0,79.0,81.0,78.0 +3.0,2,4,12.0,54,5635474.0,39.0,3.0,101473.0,193.387,ricciardo,3.0,Australian,red_bull,Austrian,2014,4,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,57.0,2.0,0.0,116641.0,115302.0,114455.0,35,25,"Mostly cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,5.451,56.0,305.066,114455.0,116641.0,115466.0,22,3,54,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +6.0,4,2,18.0,54,5626400.0,39.0,1.0,100402.0,195.45,rosberg,6.0,German,mercedes,German,2014,4,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,1.0,154.0,1.0,4.0,116058.0,115294.0,115143.0,39,29,"Mostly cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,5.451,56.0,305.066,115143.0,116058.0,115498.33333333331,21,8,151,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,152.0,88.0,78.0,87.0,84.0 +25.0,9,12,0.0,53,,34.0,14.0,102896.0,190.712,vergne,25.0,French,toro_rosso,Italian,2014,4,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+1 Lap,0.0,8.0,7.0,0.0,117477.0,116584.0,116773.0,34,24,"Mostly cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,5.451,56.0,305.066,116584.0,117477.0,116944.66666666669,22,2,43,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +1.0,3,5,10.0,54,5656116.0,37.0,5.0,102169.0,192.07,vettel,5.0,German,red_bull,Austrian,2014,4,Chinese Grand Prix,25200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,57.0,2.0,0.0,115926.0,114499.0,114960.0,37,27,"Mostly cloudy, dry",0,0,1,0,1,Race circuit,Clockwise,5.451,56.0,305.066,114499.0,115926.0,115128.33333333331,20,7,124,1,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,123.0,88.0,82.0,85.0,83.0 +14.0,7,6,8.0,66,6152898.0,55.0,4.0,89898.0,186.411,alonso,14.0,Spanish,ferrari,Italian,2014,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,66.0,3.0,0.0,88329.0,87602.0,87140.0,43,33,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,87140.0,88329.0,87690.33333333333,25,8,152,1,0,1,2,0,0,0,0,1,0,0,0,0,0,0,0,0,0,152.0,88.0,78.0,87.0,84.0 +77.0,4,5,10.0,66,6144448.0,47.0,8.0,90424.0,185.326,bottas,77.0,Finnish,williams,British,2014,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,46.0,5.0,0.0,88198.0,87563.0,86632.0,35,25,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,86632.0,88198.0,87464.33333333333,24,1,24,0,0,0,0,1,0,1,2,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +22.0,8,11,0.0,65,,43.0,10.0,90563.0,185.042,button,22.0,British,mclaren,British,2014,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,43.0,6.0,0.0,88279.0,87570.0,87335.0,44,34,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,87335.0,88279.0,87728.0,26,8,152,1,0,1,0,0,1,0,0,0,0,1,0,0,0,0,0,1,0,152.0,88.0,78.0,87.0,84.0 +4.0,17,19,0.0,64,,44.0,18.0,91767.0,182.614,chilton,4.0,British,marussia,Russian,2014,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+2 Laps,0.0,0.0,10.0,0.0,89586.0,89586.0,89586.0,33,23,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,89586.0,89586.0,89586.0,22,1,24,0,0,0,0,0,0,0,0,0,0,0,0,2,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +9.0,19,20,0.0,64,,54.0,22.0,93350.0,179.517,ericsson,9.0,Swedish,caterham,Malaysian,2014,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+2 Laps,0.0,0.0,11.0,0.0,90312.0,90312.0,90312.0,34,24,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,90312.0,90312.0,90312.0,24,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +8.0,5,8,4.0,65,,47.0,14.0,91068.0,184.016,grosjean,8.0,French,lotus_f1,British,2014,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,4.0,8.0,0.0,88472.0,87258.0,86960.0,38,28,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,86960.0,88472.0,87563.33333333333,23,5,50,0,0,0,0,0,0,0,0,0,0,1,1,0,0,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +21.0,13,16,0.0,65,,55.0,12.0,90666.0,184.832,gutierrez,21.0,Mexican,sauber,Swiss,2014,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,0.0,9.0,0.0,88374.0,88280.0,88280.0,33,23,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,88280.0,88374.0,88311.33333333333,22,1,24,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,1,0,58.0,72.0,78.0,73.0,72.0 +44.0,1,1,25.0,66,6065155.0,54.0,3.0,89483.0,187.275,hamilton,44.0,British,mercedes,German,2014,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,3.0,197.0,1.0,5.0,87238.0,86210.0,85232.0,39,29,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,85232.0,87238.0,86226.66666666667,22,7,134,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,134.0,87.0,90.0,80.0,83.0 +27.0,10,10,1.0,65,,42.0,16.0,91411.0,183.325,hulkenberg,27.0,German,force_india,Indian,2014,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,57.0,4.0,0.0,88155.0,87685.0,87685.0,37,27,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,87685.0,88155.0,87841.66666666667,23,4,63,0,0,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +17.0,18,18,0.0,64,,46.0,20.0,91784.0,182.58,jules_bianchi,17.0,French,marussia,Russian,2014,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+2 Laps,0.0,0.0,10.0,0.0,90177.0,90177.0,90177.0,35,25,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,90177.0,90177.0,90177.0,24,1,24,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,1,0,58.0,72.0,78.0,73.0,72.0 +20.0,14,12,0.0,65,,43.0,7.0,90318.0,185.544,kevin_magnussen,20.0,Danish,mclaren,British,2014,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,43.0,6.0,0.0,88389.0,88389.0,88389.0,32,22,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,88389.0,88389.0,88389.0,22,0,5,1,1,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +26.0,12,14,0.0,65,,59.0,6.0,90269.0,185.645,kvyat,26.0,Russian,toro_rosso,Italian,2014,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,8.0,7.0,0.0,88074.0,88039.0,88039.0,30,20,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,88039.0,88074.0,88050.66666666667,20,0,5,0,0,0,0,0,0,0,0,1,2,1,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +13.0,22,15,0.0,65,,39.0,15.0,91235.0,183.679,maldonado,13.0,Venezuelan,lotus_f1,British,2014,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,4.0,8.0,0.0,90375.0,90375.0,90375.0,39,29,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,90375.0,90375.0,90375.0,26,3,63,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +19.0,9,13,0.0,65,,55.0,9.0,90468.0,185.236,massa,19.0,Brazilian,williams,British,2014,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,46.0,5.0,0.0,88061.0,87016.0,87402.0,43,33,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,87016.0,88061.0,87493.0,25,8,145,0,0,0,0,0,0,2,0,0,0,0,0,0,0,1,0,0,0,147.0,88.0,80.0,84.0,83.0 +11.0,11,9,2.0,65,,39.0,13.0,90756.0,184.648,perez,11.0,Mexican,force_india,Indian,2014,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,57.0,4.0,0.0,88469.0,88002.0,88002.0,34,24,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,88002.0,88469.0,88157.66666666667,21,3,62,1,0,1,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +7.0,6,7,6.0,65,,53.0,11.0,90580.0,185.007,raikkonen,7.0,Finnish,ferrari,Italian,2014,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,66.0,3.0,0.0,88308.0,87335.0,87104.0,45,35,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,87104.0,88308.0,87582.33333333333,27,8,112,0,0,0,0,0,0,1,1,0,1,0,1,0,0,0,0,0,0,112.0,80.0,79.0,81.0,78.0 +3.0,3,3,15.0,66,6114169.0,65.0,5.0,90012.0,186.175,ricciardo,3.0,Australian,red_bull,Austrian,2014,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,84.0,2.0,0.0,88053.0,86613.0,86285.0,35,25,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,86285.0,88053.0,86983.66666666667,22,3,55,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +6.0,2,2,18.0,66,6065791.0,51.0,2.0,89236.0,187.794,rosberg,6.0,German,mercedes,German,2014,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,1.0,197.0,1.0,5.0,86764.0,86088.0,85400.0,39,29,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,85400.0,86764.0,86084.0,21,8,152,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,152.0,88.0,78.0,87.0,84.0 +99.0,16,17,0.0,65,,38.0,17.0,91473.0,183.201,sutil,99.0,German,sauber,Swiss,2014,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,0.0,9.0,0.0,88563.0,88563.0,88563.0,41,31,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,88563.0,88563.0,88563.0,24,7,114,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,115.0,80.0,78.0,82.0,78.0 +1.0,15,4,12.0,66,6141857.0,55.0,1.0,88918.0,188.465,vettel,5.0,German,red_bull,Austrian,2014,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,84.0,2.0,0.0,87958.0,87052.0,87052.0,37,27,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,87052.0,87958.0,87354.0,20,7,125,1,0,1,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,123.0,88.0,82.0,85.0,83.0 +14.0,5,4,12.0,78,6600113.0,54.0,5.0,79727.0,150.814,alonso,14.0,Spanish,ferrari,Italian,2014,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,78.0,3.0,0.0,77853.0,77200.0,76686.0,43,33,"Overcast, Air: 20 to 21 °C (68 to 70 °F), Track: 28 to 30 °C (82 to 86 °F).",0,0,0,0,1,Street circuit,Clockwise,3.337,78.0,260.286,76686.0,77853.0,77246.33333333333,25,8,153,1,0,1,2,0,1,0,0,1,0,0,0,0,0,0,0,0,0,152.0,88.0,78.0,87.0,84.0 +22.0,12,6,8.0,77,,42.0,12.0,81047.0,148.358,button,22.0,British,mclaren,British,2014,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,52.0,5.0,0.0,77890.0,77988.0,77988.0,44,34,"Overcast, Air: 20 to 21 °C (68 to 70 °F), Track: 28 to 30 °C (82 to 86 °F).",0,0,0,0,1,Street circuit,Clockwise,3.337,78.0,260.286,77890.0,77988.0,77955.33333333333,26,8,153,1,0,1,0,0,1,0,0,0,0,2,0,0,0,0,0,1,0,152.0,88.0,78.0,87.0,84.0 +4.0,19,14,0.0,75,,69.0,7.0,80579.0,149.22,chilton,4.0,British,marussia,Russian,2014,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+3 Laps,0.0,2.0,9.0,0.0,79928.0,79928.0,79928.0,33,23,"Overcast, Air: 20 to 21 °C (68 to 70 °F), Track: 28 to 30 °C (82 to 86 °F).",0,0,0,0,1,Street circuit,Clockwise,3.337,78.0,260.286,79928.0,79928.0,79928.0,22,1,25,0,0,0,0,0,0,0,0,0,0,0,0,2,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +9.0,22,11,0.0,77,,53.0,10.0,80911.0,148.607,ericsson,9.0,Swedish,caterham,Malaysian,2014,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,0.0,11.0,0.0,81732.0,81732.0,81732.0,34,24,"Overcast, Air: 20 to 21 °C (68 to 70 °F), Track: 28 to 30 °C (82 to 86 °F).",0,0,0,0,1,Street circuit,Clockwise,3.337,78.0,260.286,81732.0,81732.0,81732.0,24,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +8.0,14,8,4.0,77,,53.0,11.0,80979.0,148.482,grosjean,8.0,French,lotus_f1,British,2014,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,8.0,7.0,0.0,78335.0,78196.0,78196.0,38,28,"Overcast, Air: 20 to 21 °C (68 to 70 °F), Track: 28 to 30 °C (82 to 86 °F).",0,0,0,0,1,Street circuit,Clockwise,3.337,78.0,260.286,78196.0,78335.0,78242.33333333333,23,5,51,0,0,0,0,0,0,0,1,0,0,1,1,0,0,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +44.0,2,2,18.0,78,6576871.0,34.0,3.0,79361.0,151.51,hamilton,44.0,British,mercedes,German,2014,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,4.0,240.0,1.0,6.0,77823.0,76354.0,76048.0,39,29,"Overcast, Air: 20 to 21 °C (68 to 70 °F), Track: 28 to 30 °C (82 to 86 °F).",0,0,0,0,1,Street circuit,Clockwise,3.337,78.0,260.286,76048.0,77823.0,76741.66666666667,22,7,135,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,134.0,87.0,90.0,80.0,83.0 +27.0,11,5,10.0,77,,38.0,9.0,80767.0,148.872,hulkenberg,27.0,German,force_india,Indian,2014,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,67.0,4.0,0.0,78432.0,77846.0,77846.0,37,27,"Overcast, Air: 20 to 21 °C (68 to 70 °F), Track: 28 to 30 °C (82 to 86 °F).",0,0,0,0,1,Street circuit,Clockwise,3.337,78.0,260.286,77846.0,78432.0,78041.33333333333,23,4,64,0,0,0,0,2,2,0,0,0,1,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +17.0,21,9,2.0,77,,42.0,16.0,81254.0,147.98,jules_bianchi,17.0,French,marussia,Russian,2014,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,2.0,9.0,0.0,79332.0,79332.0,79332.0,35,25,"Overcast, Air: 20 to 21 °C (68 to 70 °F), Track: 28 to 30 °C (82 to 86 °F).",0,0,0,0,1,Street circuit,Clockwise,3.337,78.0,260.286,79332.0,79332.0,79332.0,24,1,25,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,1,1,58.0,72.0,78.0,73.0,72.0 +20.0,8,10,1.0,77,,75.0,8.0,80657.0,149.075,kevin_magnussen,20.0,Danish,mclaren,British,2014,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,52.0,5.0,0.0,77978.0,77609.0,77555.0,32,22,"Overcast, Air: 20 to 21 °C (68 to 70 °F), Track: 28 to 30 °C (82 to 86 °F).",0,0,0,0,1,Street circuit,Clockwise,3.337,78.0,260.286,77555.0,77978.0,77714.0,22,0,6,1,1,0,0,0,0,0,0,1,0,0,1,1,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +10.0,20,13,0.0,75,,16.0,19.0,82425.0,145.878,kobayashi,10.0,Japanese,caterham,Malaysian,2014,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+2 Laps,0.0,0.0,11.0,0.0,80133.0,80133.0,80133.0,38,28,"Overcast, Air: 20 to 21 °C (68 to 70 °F), Track: 28 to 30 °C (82 to 86 °F).",0,0,0,0,1,Street circuit,Clockwise,3.337,78.0,260.286,80133.0,80133.0,80133.0,23,5,66,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,1,72.0,76.0,76.0,76.0,74.0 +19.0,16,7,6.0,77,,48.0,6.0,80314.0,149.712,massa,19.0,Brazilian,williams,British,2014,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,52.0,6.0,0.0,78209.0,78209.0,78209.0,43,33,"Overcast, Air: 20 to 21 °C (68 to 70 °F), Track: 28 to 30 °C (82 to 86 °F).",0,0,0,0,1,Street circuit,Clockwise,3.337,78.0,260.286,78209.0,78209.0,78209.0,25,8,146,0,0,0,0,0,0,2,0,0,0,0,0,1,0,1,0,0,0,147.0,88.0,80.0,84.0,83.0 +7.0,6,12,0.0,77,,75.0,1.0,78479.0,153.212,raikkonen,7.0,Finnish,ferrari,Italian,2014,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,78.0,3.0,0.0,77902.0,77398.0,77389.0,45,35,"Overcast, Air: 20 to 21 °C (68 to 70 °F), Track: 28 to 30 °C (82 to 86 °F).",0,0,0,0,1,Street circuit,Clockwise,3.337,78.0,260.286,77389.0,77902.0,77563.0,27,8,113,0,0,0,0,0,0,2,1,0,1,0,1,0,0,0,0,0,0,112.0,80.0,79.0,81.0,78.0 +3.0,3,3,15.0,78,6577275.0,70.0,2.0,79252.0,151.718,ricciardo,3.0,Australian,red_bull,Austrian,2014,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,99.0,2.0,0.0,77900.0,77233.0,76384.0,35,25,"Overcast, Air: 20 to 21 °C (68 to 70 °F), Track: 28 to 30 °C (82 to 86 °F).",0,0,0,0,1,Street circuit,Clockwise,3.337,78.0,260.286,76384.0,77900.0,77172.33333333333,22,3,56,1,0,1,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +6.0,1,1,25.0,78,6567661.0,33.0,4.0,79425.0,151.388,rosberg,6.0,German,mercedes,German,2014,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,1.0,240.0,1.0,6.0,77678.0,76465.0,75989.0,39,29,"Overcast, Air: 20 to 21 °C (68 to 70 °F), Track: 28 to 30 °C (82 to 86 °F).",0,0,0,0,1,Street circuit,Clockwise,3.337,78.0,260.286,75989.0,77678.0,76710.66666666667,21,8,153,5,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,152.0,88.0,78.0,87.0,84.0 +14.0,7,6,8.0,70,5967699.0,64.0,3.0,78614.0,199.704,alonso,14.0,Spanish,ferrari,Italian,2014,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,87.0,3.0,0.0,77010.0,76131.0,75814.0,43,33,Temperatures up to 27.6 °C (81.7 °F); wind speeds up to 16.4 kilometres per hour (10.2 mph)[5],0,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,75814.0,77010.0,76318.33333333333,25,8,154,1,0,1,3,0,1,0,0,1,0,0,0,0,0,0,0,0,0,152.0,88.0,78.0,87.0,84.0 +77.0,4,7,6.0,70,5976408.0,52.0,11.0,79321.0,197.924,bottas,77.0,Finnish,williams,British,2014,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,58.0,6.0,0.0,76772.0,75806.0,75550.0,35,25,Temperatures up to 27.6 °C (81.7 °F); wind speeds up to 16.4 kilometres per hour (10.2 mph)[5],0,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,75550.0,76772.0,76042.66666666667,24,1,26,0,0,0,0,2,0,1,2,0,0,0,0,0,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +22.0,9,4,12.0,70,5964585.0,64.0,5.0,78759.0,199.337,button,22.0,British,mclaren,British,2014,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,66.0,5.0,0.0,76631.0,76214.0,76182.0,44,34,Temperatures up to 27.6 °C (81.7 °F); wind speeds up to 16.4 kilometres per hour (10.2 mph)[5],0,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,76182.0,76631.0,76342.33333333333,26,8,154,1,0,1,0,0,2,0,0,0,0,2,0,0,0,0,0,1,0,152.0,88.0,78.0,87.0,84.0 +27.0,11,5,10.0,70,5965673.0,64.0,8.0,78936.0,198.89,hulkenberg,27.0,German,force_india,Indian,2014,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,77.0,4.0,0.0,76897.0,76300.0,76300.0,37,27,Temperatures up to 27.6 °C (81.7 °F); wind speeds up to 16.4 kilometres per hour (10.2 mph)[5],0,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,76300.0,76897.0,76499.0,23,4,65,0,0,0,0,3,2,0,0,0,1,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +20.0,12,9,2.0,70,5982084.0,56.0,6.0,78819.0,199.185,kevin_magnussen,20.0,Danish,mclaren,British,2014,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,66.0,5.0,0.0,76446.0,76310.0,76310.0,32,22,Temperatures up to 27.6 °C (81.7 °F); wind speeds up to 16.4 kilometres per hour (10.2 mph)[5],0,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,76310.0,76446.0,76355.33333333333,22,0,7,1,1,0,0,0,0,0,0,1,1,0,1,1,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +7.0,10,10,1.0,70,6006508.0,68.0,2.0,78529.0,199.921,raikkonen,7.0,Finnish,ferrari,Italian,2014,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,87.0,3.0,0.0,77013.0,76245.0,76214.0,45,35,Temperatures up to 27.6 °C (81.7 °F); wind speeds up to 16.4 kilometres per hour (10.2 mph)[5],0,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,76214.0,77013.0,76490.66666666667,27,8,114,0,0,0,0,0,0,2,1,0,1,0,2,0,0,0,0,0,0,115.0,80.0,78.0,82.0,78.0 +3.0,6,1,25.0,70,5952830.0,68.0,4.0,78640.0,199.638,ricciardo,3.0,Australian,red_bull,Austrian,2014,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,139.0,2.0,1.0,77113.0,75897.0,75589.0,35,25,Temperatures up to 27.6 °C (81.7 °F); wind speeds up to 16.4 kilometres per hour (10.2 mph)[5],0,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,75589.0,77113.0,76199.66666666667,22,3,57,2,0,2,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +6.0,1,2,18.0,70,5957066.0,33.0,7.0,78881.0,199.028,rosberg,6.0,German,mercedes,German,2014,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,2.0,258.0,1.0,6.0,76471.0,75289.0,74874.0,39,29,Temperatures up to 27.6 °C (81.7 °F); wind speeds up to 16.4 kilometres per hour (10.2 mph)[5],0,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,74874.0,76471.0,75544.66666666667,21,8,154,6,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,152.0,88.0,78.0,87.0,84.0 +99.0,16,13,0.0,69,,66.0,17.0,80226.0,195.692,sutil,99.0,German,sauber,Swiss,2014,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,0.0,10.0,0.0,77519.0,77314.0,77314.0,41,31,Temperatures up to 27.6 °C (81.7 °F); wind speeds up to 16.4 kilometres per hour (10.2 mph)[5],0,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,77314.0,77519.0,77382.33333333333,24,7,116,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,2,115.0,80.0,78.0,82.0,78.0 +25.0,8,8,4.0,70,5980856.0,56.0,12.0,79399.0,197.73,vergne,25.0,French,toro_rosso,Italian,2014,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,12.0,7.0,0.0,77178.0,76255.0,76162.0,34,24,Temperatures up to 27.6 °C (81.7 °F); wind speeds up to 16.4 kilometres per hour (10.2 mph)[5],0,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,76162.0,77178.0,76531.66666666667,22,2,46,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +1.0,3,3,15.0,70,5958077.0,48.0,10.0,79171.0,198.299,vettel,5.0,German,red_bull,Austrian,2014,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,139.0,2.0,1.0,77470.0,76109.0,75548.0,37,27,Temperatures up to 27.6 °C (81.7 °F); wind speeds up to 16.4 kilometres per hour (10.2 mph)[5],0,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,75548.0,77470.0,76375.66666666667,20,7,127,1,0,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,1,130.0,89.0,85.0,82.0,82.0 +14.0,4,5,10.0,71,5293529.0,58.0,5.0,72595.0,214.527,alonso,14.0,Spanish,ferrari,Italian,2014,8,Austrian Grand Prix,43200000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,0.0,98.0,3.0,0.0,70405.0,69479.0,69285.0,43,33,"Partially cloudy, hot and dry",1,0,1,0,1,Race circuit,Clockwise,4.318,71.0,306.452,69285.0,70405.0,69723.0,25,8,155,1,0,1,3,0,2,0,0,1,0,0,0,0,0,0,0,0,0,157.0,91.0,83.0,88.0,87.0 +77.0,2,3,15.0,71,5283148.0,63.0,3.0,72581.0,214.568,bottas,77.0,Finnish,williams,British,2014,8,Austrian Grand Prix,43200000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,0.0,85.0,5.0,0.0,70356.0,69096.0,68846.0,35,25,"Partially cloudy, hot and dry",1,0,1,0,1,Race circuit,Clockwise,4.318,71.0,306.452,68846.0,70356.0,69432.66666666667,24,1,27,0,0,0,0,2,0,2,2,0,0,0,0,0,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +22.0,11,11,0.0,71,5325942.0,60.0,8.0,72858.0,213.752,button,22.0,British,mclaren,British,2014,8,Austrian Grand Prix,43200000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,0.0,72.0,6.0,0.0,70252.0,69780.0,69780.0,44,34,"Partially cloudy, hot and dry",1,0,1,0,1,Race circuit,Clockwise,4.318,71.0,306.452,69780.0,70252.0,69937.33333333333,26,8,155,1,0,1,1,0,2,0,0,0,0,2,0,0,0,0,0,1,0,157.0,91.0,83.0,88.0,87.0 +4.0,21,17,0.0,69,,40.0,21.0,74847.0,208.072,chilton,4.0,British,marussia,Russian,2014,8,Austrian Grand Prix,43200000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+2 Laps,0.0,2.0,9.0,0.0,71775.0,71775.0,71775.0,33,23,"Partially cloudy, hot and dry",1,0,1,0,1,Race circuit,Clockwise,4.318,71.0,306.452,71775.0,71775.0,71775.0,22,1,27,0,0,0,0,0,0,0,0,0,0,0,0,2,1,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +9.0,20,18,0.0,69,,33.0,20.0,74672.0,208.56,ericsson,9.0,Swedish,caterham,Malaysian,2014,8,Austrian Grand Prix,43200000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+2 Laps,0.0,0.0,11.0,0.0,72673.0,72673.0,72673.0,34,24,"Partially cloudy, hot and dry",1,0,1,0,1,Race circuit,Clockwise,4.318,71.0,306.452,72673.0,72673.0,72673.0,24,0,8,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +8.0,22,14,0.0,70,,42.0,15.0,73953.0,210.587,grosjean,8.0,French,lotus_f1,British,2014,8,Austrian Grand Prix,43200000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,8.0,8.0,0.0,70461.0,70642.0,70642.0,38,28,"Partially cloudy, hot and dry",1,0,1,0,1,Race circuit,Clockwise,4.318,71.0,306.452,70461.0,70642.0,70581.66666666667,23,5,53,0,0,0,0,0,0,0,2,0,0,1,1,0,0,2,0,0,0,72.0,76.0,76.0,76.0,74.0 +21.0,17,19,0.0,69,,53.0,16.0,74036.0,210.351,gutierrez,21.0,Mexican,sauber,Swiss,2014,8,Austrian Grand Prix,43200000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+2 Laps,0.0,0.0,10.0,0.0,71349.0,71349.0,71349.0,33,23,"Partially cloudy, hot and dry",1,0,1,0,1,Race circuit,Clockwise,4.318,71.0,306.452,71349.0,71349.0,71349.0,22,1,27,0,0,0,0,0,0,0,0,0,0,0,1,0,1,1,2,1,0,58.0,72.0,78.0,73.0,72.0 +44.0,9,2,18.0,71,5276908.0,41.0,2.0,72217.0,215.65,hamilton,44.0,British,mercedes,German,2014,8,Austrian Grand Prix,43200000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,4.0,301.0,1.0,7.0,69514.0,69092.0,69092.0,39,29,"Partially cloudy, hot and dry",1,0,1,0,1,Race circuit,Clockwise,4.318,71.0,306.452,69092.0,69514.0,69232.66666666667,22,7,137,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,134.0,87.0,90.0,80.0,83.0 +27.0,10,9,2.0,71,5319113.0,60.0,11.0,73156.0,212.882,hulkenberg,27.0,German,force_india,Indian,2014,8,Austrian Grand Prix,43200000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,0.0,87.0,4.0,0.0,70389.0,69624.0,69624.0,37,27,"Partially cloudy, hot and dry",1,0,1,0,1,Race circuit,Clockwise,4.318,71.0,306.452,69624.0,70389.0,69879.0,23,4,66,0,0,0,0,4,2,0,0,0,1,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +17.0,18,15,0.0,69,,65.0,19.0,74476.0,209.108,jules_bianchi,17.0,French,marussia,Russian,2014,8,Austrian Grand Prix,43200000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+2 Laps,0.0,2.0,9.0,0.0,71412.0,71412.0,71412.0,35,25,"Partially cloudy, hot and dry",1,0,1,0,1,Race circuit,Clockwise,4.318,71.0,306.452,71412.0,71412.0,71412.0,24,1,27,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,1,1,1,58.0,72.0,78.0,73.0,72.0 +20.0,6,7,6.0,71,5307007.0,53.0,7.0,72746.0,214.081,kevin_magnussen,20.0,Danish,mclaren,British,2014,8,Austrian Grand Prix,43200000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,0.0,72.0,6.0,0.0,70081.0,69473.0,69515.0,32,22,"Partially cloudy, hot and dry",1,0,1,0,1,Race circuit,Clockwise,4.318,71.0,306.452,69473.0,70081.0,69689.66666666667,22,0,8,1,1,0,0,0,0,0,0,2,1,0,1,1,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +10.0,19,16,0.0,69,,40.0,22.0,75274.0,206.892,kobayashi,10.0,Japanese,caterham,Malaysian,2014,8,Austrian Grand Prix,43200000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+2 Laps,0.0,0.0,11.0,0.0,71673.0,71673.0,71673.0,38,28,"Partially cloudy, hot and dry",1,0,1,0,1,Race circuit,Clockwise,4.318,71.0,306.452,71673.0,71673.0,71673.0,23,5,68,0,0,0,0,0,0,0,0,0,0,0,0,2,0,1,0,0,2,72.0,76.0,76.0,76.0,74.0 +13.0,13,12,0.0,70,,64.0,12.0,73187.0,212.791,maldonado,13.0,Venezuelan,lotus_f1,British,2014,8,Austrian Grand Prix,43200000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,8.0,8.0,0.0,70821.0,69939.0,69939.0,39,29,"Partially cloudy, hot and dry",1,0,1,0,1,Race circuit,Clockwise,4.318,71.0,306.452,69939.0,70821.0,70233.0,26,3,66,0,0,0,0,0,0,0,0,0,0,0,0,0,2,1,1,0,0,72.0,76.0,76.0,76.0,74.0 +19.0,1,4,12.0,71,5292334.0,63.0,4.0,72586.0,214.553,massa,19.0,Brazilian,williams,British,2014,8,Austrian Grand Prix,43200000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,0.0,85.0,5.0,0.0,70292.0,69239.0,68759.0,43,33,"Partially cloudy, hot and dry",1,0,1,0,1,Race circuit,Clockwise,4.318,71.0,306.452,68759.0,70292.0,69430.0,25,8,148,0,0,0,0,0,0,3,0,0,0,0,1,1,0,1,0,0,0,148.0,87.0,77.0,83.0,82.0 +11.0,15,6,8.0,71,5303522.0,59.0,1.0,72142.0,215.874,perez,11.0,Mexican,force_india,Indian,2014,8,Austrian Grand Prix,43200000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,0.0,87.0,4.0,0.0,70124.0,69754.0,69754.0,34,24,"Partially cloudy, hot and dry",1,0,1,0,1,Race circuit,Clockwise,4.318,71.0,306.452,69754.0,70124.0,69877.33333333333,21,3,65,1,0,1,0,0,0,0,0,2,1,1,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +7.0,8,10,1.0,71,5322753.0,55.0,9.0,72884.0,213.676,raikkonen,7.0,Finnish,ferrari,Italian,2014,8,Austrian Grand Prix,43200000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,0.0,98.0,3.0,0.0,70285.0,69657.0,70795.0,45,35,"Partially cloudy, hot and dry",1,0,1,0,1,Race circuit,Clockwise,4.318,71.0,306.452,69657.0,70795.0,70245.66666666667,27,8,115,0,0,0,0,0,0,2,1,0,2,0,2,0,0,0,0,0,0,115.0,80.0,78.0,82.0,78.0 +3.0,5,8,4.0,71,5318498.0,55.0,10.0,73060.0,213.161,ricciardo,3.0,Australian,red_bull,Austrian,2014,8,Austrian Grand Prix,43200000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,1.0,143.0,2.0,1.0,70395.0,69638.0,69466.0,35,25,"Partially cloudy, hot and dry",1,0,1,0,1,Race circuit,Clockwise,4.318,71.0,306.452,69466.0,70395.0,69833.0,22,3,58,3,0,2,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +6.0,3,1,25.0,71,5274976.0,50.0,6.0,72598.0,214.518,rosberg,6.0,German,mercedes,German,2014,8,Austrian Grand Prix,43200000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,2.0,301.0,1.0,7.0,69695.0,68974.0,68944.0,39,29,"Partially cloudy, hot and dry",1,0,1,0,1,Race circuit,Clockwise,4.318,71.0,306.452,68944.0,69695.0,69204.33333333333,21,8,155,7,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,157.0,91.0,83.0,88.0,87.0 +99.0,16,13,0.0,70,,59.0,14.0,73709.0,211.284,sutil,99.0,German,sauber,Swiss,2014,8,Austrian Grand Prix,43200000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,0.0,10.0,0.0,70825.0,70825.0,70825.0,41,31,"Partially cloudy, hot and dry",1,0,1,0,1,Race circuit,Clockwise,4.318,71.0,306.452,70825.0,70825.0,70825.0,24,7,117,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,1,2,115.0,80.0,78.0,82.0,78.0 +14.0,16,6,8.0,52,8872040.0,52.0,8.0,98587.0,215.115,alonso,14.0,Spanish,ferrari,Italian,2014,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,106.0,3.0,0.0,105935.0,105935.0,105935.0,43,33,Mostly cloudy with maximum temperatures reaching 21 degrees during the day.,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,105935.0,105935.0,105935.0,25,8,156,1,0,1,3,1,2,0,0,1,0,0,0,0,0,0,0,0,0,157.0,91.0,83.0,88.0,87.0 +77.0,14,2,18.0,52,8842229.0,34.0,4.0,98264.0,215.822,bottas,77.0,Finnish,williams,British,2014,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,103.0,4.0,0.0,105318.0,105318.0,105318.0,35,25,Mostly cloudy with maximum temperatures reaching 21 degrees during the day.,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,105318.0,105318.0,105318.0,24,1,28,1,0,1,0,2,0,2,2,0,0,0,0,0,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +22.0,3,4,12.0,52,8859484.0,52.0,5.0,98284.0,215.778,button,22.0,British,mclaren,British,2014,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,90.0,6.0,0.0,104425.0,96579.0,98200.0,44,34,Mostly cloudy with maximum temperatures reaching 21 degrees during the day.,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,96579.0,104425.0,99734.66666666669,26,8,156,1,0,1,1,0,2,0,0,0,0,3,0,0,0,0,0,1,0,157.0,91.0,83.0,88.0,87.0 +4.0,17,16,0.0,50,,50.0,17.0,100399.0,211.233,chilton,4.0,British,marussia,Russian,2014,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+2 Laps,0.0,2.0,9.0,0.0,102082.0,99800.0,99800.0,33,23,Mostly cloudy with maximum temperatures reaching 21 degrees during the day.,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,99800.0,102082.0,100560.66666666669,22,1,28,0,0,0,0,0,0,0,0,0,0,0,0,2,1,1,0,1,0,58.0,72.0,78.0,73.0,72.0 +8.0,11,12,0.0,51,,48.0,12.0,98919.0,214.393,grosjean,8.0,French,lotus_f1,British,2014,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,8.0,8.0,0.0,103121.0,98496.0,98496.0,38,28,Mostly cloudy with maximum temperatures reaching 21 degrees during the day.,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,98496.0,103121.0,100037.66666666669,23,5,54,0,0,0,0,0,0,0,2,0,0,1,1,0,1,2,0,0,0,72.0,76.0,76.0,76.0,74.0 +44.0,6,1,25.0,52,8812094.0,26.0,1.0,97176.0,218.239,hamilton,44.0,British,mercedes,German,2014,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,4.0,326.0,1.0,8.0,101058.0,94870.0,99232.0,39,29,Mostly cloudy with maximum temperatures reaching 21 degrees during the day.,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,94870.0,101058.0,98386.66666666669,22,7,138,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,137.0,87.0,90.0,80.0,83.0 +27.0,4,8,4.0,52,8900786.0,52.0,9.0,98625.0,215.032,hulkenberg,27.0,German,force_india,Indian,2014,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,91.0,5.0,0.0,101271.0,97112.0,98329.0,37,27,Mostly cloudy with maximum temperatures reaching 21 degrees during the day.,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,97112.0,101271.0,98904.0,23,4,67,0,0,0,0,4,2,0,0,1,1,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +17.0,12,14,0.0,51,,51.0,14.0,99961.0,212.158,jules_bianchi,17.0,French,marussia,Russian,2014,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,2.0,9.0,0.0,101169.0,98709.0,98709.0,35,25,Mostly cloudy with maximum temperatures reaching 21 degrees during the day.,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,98709.0,101169.0,99529.0,24,1,28,0,0,0,0,0,0,0,0,1,0,0,0,0,1,1,1,1,1,58.0,72.0,78.0,73.0,72.0 +20.0,5,7,6.0,52,8874657.0,32.0,10.0,98677.0,214.919,kevin_magnussen,20.0,Danish,mclaren,British,2014,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,90.0,6.0,0.0,102507.0,97370.0,98417.0,32,22,Mostly cloudy with maximum temperatures reaching 21 degrees during the day.,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,97370.0,102507.0,99431.33333333331,22,0,9,1,1,0,0,0,0,1,0,2,1,0,1,1,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +10.0,22,15,0.0,50,,31.0,18.0,101462.0,209.02,kobayashi,10.0,Japanese,caterham,Malaysian,2014,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+2 Laps,0.0,0.0,11.0,0.0,109625.0,109625.0,109625.0,38,28,Mostly cloudy with maximum temperatures reaching 21 degrees during the day.,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,109625.0,109625.0,109625.0,23,5,69,0,0,0,0,0,0,0,0,0,0,0,0,2,0,1,1,0,2,72.0,76.0,76.0,76.0,74.0 +26.0,9,9,2.0,52,8901434.0,45.0,6.0,98407.0,215.509,kvyat,26.0,Russian,toro_rosso,Italian,2014,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,15.0,7.0,0.0,101032.0,96813.0,100707.0,30,20,Mostly cloudy with maximum temperatures reaching 21 degrees during the day.,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,96813.0,101032.0,99517.33333333331,20,0,9,0,0,0,0,0,0,0,0,1,2,1,0,0,1,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +13.0,20,17,0.0,49,,48.0,16.0,100314.0,211.412,maldonado,13.0,Venezuelan,lotus_f1,British,2014,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+3 Laps,0.0,8.0,8.0,0.0,103892.0,104018.0,104018.0,39,29,Mostly cloudy with maximum temperatures reaching 21 degrees during the day.,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,103892.0,104018.0,103976.0,26,3,67,0,0,0,0,0,0,0,0,0,0,0,1,0,2,1,1,0,0,72.0,76.0,76.0,76.0,74.0 +11.0,7,11,0.0,51,,41.0,11.0,98716.0,214.834,perez,11.0,Mexican,force_india,Indian,2014,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,91.0,5.0,0.0,102146.0,97350.0,100457.0,34,24,Mostly cloudy with maximum temperatures reaching 21 degrees during the day.,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,97350.0,102146.0,99984.33333333331,21,3,66,1,0,1,0,0,1,0,0,2,1,1,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +3.0,8,3,15.0,52,8858589.0,34.0,7.0,98459.0,215.395,ricciardo,3.0,Australian,red_bull,Austrian,2014,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,1.0,168.0,2.0,1.0,104710.0,98166.0,100606.0,35,25,Mostly cloudy with maximum temperatures reaching 21 degrees during the day.,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,98166.0,104710.0,101160.66666666669,22,3,59,3,0,2,2,0,0,0,1,0,0,0,0,0,0,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +99.0,13,13,0.0,51,,34.0,15.0,100041.0,211.989,sutil,99.0,German,sauber,Swiss,2014,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,0.0,10.0,0.0,102603.0,102603.0,102603.0,41,31,Mostly cloudy with maximum temperatures reaching 21 degrees during the day.,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,102603.0,102603.0,102603.0,24,7,118,0,0,0,0,0,0,0,0,0,0,1,0,2,0,0,0,1,2,115.0,80.0,78.0,82.0,78.0 +25.0,10,10,1.0,51,,44.0,13.0,99261.0,213.654,vergne,25.0,French,toro_rosso,Italian,2014,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,15.0,7.0,0.0,103040.0,97800.0,100855.0,34,24,Mostly cloudy with maximum temperatures reaching 21 degrees during the day.,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,97800.0,103040.0,100565.0,22,2,48,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +1.0,2,5,10.0,52,8865958.0,52.0,2.0,97481.0,217.556,vettel,5.0,German,red_bull,Austrian,2014,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,168.0,2.0,1.0,105086.0,96410.0,97386.0,37,27,Mostly cloudy with maximum temperatures reaching 21 degrees during the day.,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,96410.0,105086.0,99627.33333333331,20,7,129,2,0,2,1,1,1,0,0,0,0,0,0,0,0,0,0,0,1,133.0,90.0,90.0,81.0,84.0 +14.0,7,5,10.0,67,5675381.0,57.0,3.0,80548.0,204.429,alonso,14.0,Spanish,ferrari,Italian,2014,10,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,0.0,116.0,4.0,0.0,78389.0,77866.0,77649.0,43,33,Cloudy with maximum temperatures reaching 26 degrees during the day.,0,0,0,0,1,Race circuit,Clockwise,4.574,64.0,292.736,77649.0,78389.0,77968.0,25,8,157,1,0,1,3,1,3,0,0,1,0,0,0,0,0,0,0,0,0,158.0,89.0,81.0,86.0,84.0 +77.0,2,2,18.0,67,5643703.0,45.0,9.0,81494.0,202.056,bottas,77.0,Finnish,williams,British,2014,10,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,0.0,121.0,3.0,0.0,78215.0,77353.0,76759.0,35,25,Cloudy with maximum temperatures reaching 26 degrees during the day.,0,0,0,0,1,Race circuit,Clockwise,4.574,64.0,292.736,76759.0,78215.0,77442.33333333333,24,1,29,2,1,1,0,2,0,2,2,0,0,0,0,0,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +22.0,11,8,4.0,67,5707625.0,64.0,8.0,81346.0,202.424,button,22.0,British,mclaren,British,2014,10,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,0.0,96.0,6.0,0.0,78425.0,78193.0,78193.0,44,34,Cloudy with maximum temperatures reaching 26 degrees during the day.,0,0,0,0,1,Race circuit,Clockwise,4.574,64.0,292.736,78193.0,78425.0,78270.33333333333,26,8,157,1,0,1,2,0,2,0,0,0,0,3,0,0,0,0,0,1,0,158.0,89.0,81.0,86.0,84.0 +4.0,21,17,0.0,65,,50.0,19.0,83035.0,198.306,chilton,4.0,British,marussia,Russian,2014,10,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,+2 Laps,0.0,2.0,9.0,0.0,80489.0,80489.0,80489.0,33,23,Cloudy with maximum temperatures reaching 26 degrees during the day.,0,0,0,0,1,Race circuit,Clockwise,4.574,64.0,292.736,80489.0,80489.0,80489.0,22,1,29,0,0,0,0,0,0,0,0,0,0,0,0,2,1,1,1,1,0,58.0,72.0,78.0,73.0,72.0 +9.0,22,18,0.0,65,,49.0,20.0,83230.0,197.842,ericsson,9.0,Swedish,caterham,Malaysian,2014,10,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,+2 Laps,0.0,0.0,11.0,0.0,80489.0,80489.0,80489.0,34,24,Cloudy with maximum temperatures reaching 26 degrees during the day.,0,0,0,0,1,Race circuit,Clockwise,4.574,64.0,292.736,80489.0,80489.0,80489.0,24,0,10,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,1,1,58.0,72.0,78.0,73.0,72.0 +21.0,16,14,0.0,66,,61.0,12.0,82008.0,200.79,gutierrez,21.0,Mexican,sauber,Swiss,2014,10,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,+1 Lap,0.0,0.0,10.0,0.0,78739.0,78787.0,78787.0,33,23,Cloudy with maximum temperatures reaching 26 degrees during the day.,0,0,0,0,1,Race circuit,Clockwise,4.574,64.0,292.736,78739.0,78787.0,78771.0,22,1,29,0,0,0,0,0,0,0,0,0,0,0,1,0,1,1,2,1,0,58.0,72.0,78.0,73.0,72.0 +44.0,20,3,15.0,67,5645444.0,53.0,1.0,79908.0,206.066,hamilton,44.0,British,mercedes,German,2014,10,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,5.0,366.0,1.0,9.0,78683.0,78683.0,78683.0,39,29,Cloudy with maximum temperatures reaching 26 degrees during the day.,0,0,0,0,1,Race circuit,Clockwise,4.574,64.0,292.736,78683.0,78683.0,78683.0,22,7,139,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,137.0,87.0,90.0,80.0,83.0 +27.0,9,7,6.0,67,5687092.0,44.0,13.0,82098.0,200.57,hulkenberg,27.0,German,force_india,Indian,2014,10,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,0.0,98.0,5.0,0.0,78927.0,78017.0,78014.0,37,27,Cloudy with maximum temperatures reaching 26 degrees during the day.,0,0,0,0,1,Race circuit,Clockwise,4.574,64.0,292.736,78014.0,78927.0,78319.33333333333,23,4,68,0,0,0,0,4,2,0,1,1,1,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +17.0,17,15,0.0,66,,57.0,16.0,82522.0,199.539,jules_bianchi,17.0,French,marussia,Russian,2014,10,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,+1 Lap,0.0,2.0,9.0,0.0,79676.0,79676.0,79676.0,35,25,Cloudy with maximum temperatures reaching 26 degrees during the day.,0,0,0,0,1,Race circuit,Clockwise,4.574,64.0,292.736,79676.0,79676.0,79676.0,24,1,29,0,0,0,0,0,0,0,0,1,0,0,0,0,2,1,1,1,1,58.0,72.0,78.0,73.0,72.0 +20.0,4,9,2.0,66,,56.0,2.0,80224.0,205.255,kevin_magnussen,20.0,Danish,mclaren,British,2014,10,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,+1 Lap,0.0,96.0,6.0,0.0,78260.0,77788.0,77214.0,32,22,Cloudy with maximum temperatures reaching 26 degrees during the day.,0,0,0,0,1,Race circuit,Clockwise,4.574,64.0,292.736,77214.0,78260.0,77754.0,22,0,10,1,1,0,0,0,0,2,0,2,1,0,1,1,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +10.0,19,16,0.0,65,,50.0,18.0,82866.0,198.711,kobayashi,10.0,Japanese,caterham,Malaysian,2014,10,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,+2 Laps,0.0,0.0,11.0,0.0,80408.0,80408.0,80408.0,38,28,Cloudy with maximum temperatures reaching 26 degrees during the day.,0,0,0,0,1,Race circuit,Clockwise,4.574,64.0,292.736,80408.0,80408.0,80408.0,23,5,70,0,0,0,0,0,0,0,0,0,0,0,0,2,0,2,1,0,2,72.0,76.0,76.0,76.0,74.0 +13.0,18,12,0.0,66,,41.0,15.0,82305.0,200.065,maldonado,13.0,Venezuelan,lotus_f1,British,2014,10,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,+1 Lap,0.0,8.0,8.0,0.0,80195.0,80195.0,80195.0,39,29,Cloudy with maximum temperatures reaching 26 degrees during the day.,0,0,0,0,1,Race circuit,Clockwise,4.574,64.0,292.736,80195.0,80195.0,80195.0,26,3,68,0,0,0,0,0,0,0,0,0,0,0,1,0,2,1,1,1,0,72.0,76.0,76.0,76.0,74.0 +11.0,10,10,1.0,66,,54.0,4.0,80752.0,203.913,perez,11.0,Mexican,force_india,Indian,2014,10,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,+1 Lap,0.0,98.0,5.0,0.0,78916.0,78161.0,78035.0,34,24,Cloudy with maximum temperatures reaching 26 degrees during the day.,0,0,0,0,1,Race circuit,Clockwise,4.574,64.0,292.736,78035.0,78916.0,78370.66666666667,21,3,67,1,0,1,0,0,1,0,0,2,1,2,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +7.0,12,11,0.0,66,,55.0,7.0,81338.0,202.444,raikkonen,7.0,Finnish,ferrari,Italian,2014,10,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,+1 Lap,0.0,116.0,4.0,0.0,78534.0,78273.0,78273.0,45,35,Cloudy with maximum temperatures reaching 26 degrees during the day.,0,0,0,0,1,Race circuit,Clockwise,4.574,64.0,292.736,78273.0,78534.0,78360.0,27,8,117,0,0,0,0,0,0,2,1,0,3,0,2,0,0,0,0,0,0,115.0,80.0,78.0,82.0,78.0 +3.0,5,6,8.0,67,5675463.0,53.0,5.0,80846.0,203.676,ricciardo,3.0,Australian,red_bull,Austrian,2014,10,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,1.0,188.0,2.0,1.0,78117.0,77855.0,77273.0,35,25,Cloudy with maximum temperatures reaching 26 degrees during the day.,0,0,0,0,1,Race circuit,Clockwise,4.574,64.0,292.736,77273.0,78117.0,77748.33333333333,22,3,60,4,0,3,2,0,0,0,1,0,0,0,0,0,0,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +6.0,1,1,25.0,67,5622914.0,67.0,6.0,81298.0,202.543,rosberg,6.0,German,mercedes,German,2014,10,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,3.0,366.0,1.0,9.0,77631.0,77109.0,76540.0,39,29,Cloudy with maximum temperatures reaching 26 degrees during the day.,0,0,0,0,1,Race circuit,Clockwise,4.574,64.0,292.736,76540.0,77631.0,77093.33333333333,21,8,157,8,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,158.0,89.0,81.0,86.0,84.0 +25.0,13,13,0.0,66,,58.0,11.0,81876.0,201.113,vergne,25.0,French,toro_rosso,Italian,2014,10,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,+1 Lap,0.0,15.0,7.0,0.0,78496.0,78285.0,78285.0,34,24,Cloudy with maximum temperatures reaching 26 degrees during the day.,0,0,0,0,1,Race circuit,Clockwise,4.574,64.0,292.736,78285.0,78496.0,78355.33333333333,22,2,49,0,0,0,0,0,0,0,2,0,1,0,1,0,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +1.0,6,4,12.0,67,5666928.0,39.0,10.0,81545.0,201.93,vettel,5.0,German,red_bull,Austrian,2014,10,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,0.0,188.0,2.0,1.0,78194.0,77646.0,77577.0,37,27,Cloudy with maximum temperatures reaching 26 degrees during the day.,0,0,0,0,1,Race circuit,Clockwise,4.574,64.0,292.736,77577.0,78194.0,77805.66666666667,20,7,130,2,0,2,1,2,1,0,0,0,0,0,0,0,0,0,0,0,1,133.0,90.0,90.0,81.0,84.0 +14.0,5,2,18.0,70,6790283.0,40.0,5.0,87419.0,180.413,alonso,14.0,Spanish,ferrari,Italian,2014,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,142.0,3.0,0.0,86087.0,84249.0,83909.0,43,33,"Overcast. Wet track at start, then drying.Scattered thunderstorms during the day, temperatures reaching a maximum of 26 degrees.[1]",0,0,1,1,1,Race circuit,Clockwise,4.381,70.0,306.63,83909.0,86087.0,84748.33333333333,25,8,158,1,0,1,3,2,3,0,0,1,0,0,0,0,0,0,0,0,0,158.0,89.0,81.0,86.0,84.0 +77.0,3,8,4.0,70,6826402.0,63.0,3.0,86850.0,181.595,bottas,77.0,Finnish,williams,British,2014,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,135.0,4.0,0.0,85690.0,83776.0,83354.0,35,25,"Overcast. Wet track at start, then drying.Scattered thunderstorms during the day, temperatures reaching a maximum of 26 degrees.[1]",0,0,1,1,1,Race circuit,Clockwise,4.381,70.0,306.63,83354.0,85690.0,84273.33333333333,24,1,30,3,2,1,0,2,0,2,2,0,0,0,0,0,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +22.0,7,10,1.0,70,6852338.0,50.0,13.0,89156.0,176.898,button,22.0,British,mclaren,British,2014,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,97.0,6.0,0.0,86612.0,84502.0,84294.0,44,34,"Overcast. Wet track at start, then drying.Scattered thunderstorms during the day, temperatures reaching a maximum of 26 degrees.[1]",0,0,1,1,1,Race circuit,Clockwise,4.381,70.0,306.63,84294.0,86612.0,85136.0,26,8,158,1,0,1,2,0,2,0,1,0,0,3,0,0,0,0,0,1,0,158.0,89.0,81.0,86.0,84.0 +4.0,18,16,0.0,69,,47.0,15.0,89499.0,176.22,chilton,4.0,British,marussia,Russian,2014,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,2.0,9.0,0.0,87819.0,87819.0,87819.0,33,23,"Overcast. Wet track at start, then drying.Scattered thunderstorms during the day, temperatures reaching a maximum of 26 degrees.[1]",0,0,1,1,1,Race circuit,Clockwise,4.381,70.0,306.63,87819.0,87819.0,87819.0,22,1,30,0,0,0,0,0,0,0,0,0,0,0,0,2,1,1,1,2,0,58.0,72.0,78.0,73.0,72.0 +44.0,22,3,15.0,70,6790915.0,36.0,4.0,87380.0,180.494,hamilton,44.0,British,mercedes,German,2014,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,5.0,393.0,1.0,9.0,88643.0,88643.0,88643.0,39,29,"Overcast. Wet track at start, then drying.Scattered thunderstorms during the day, temperatures reaching a maximum of 26 degrees.[1]",0,0,1,1,1,Race circuit,Clockwise,4.381,70.0,306.63,88643.0,88643.0,88643.0,22,7,140,8,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,139.0,90.0,87.0,80.0,83.0 +17.0,15,15,0.0,69,,49.0,16.0,89883.0,175.468,jules_bianchi,17.0,French,marussia,Russian,2014,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,2.0,9.0,0.0,86728.0,87419.0,87419.0,35,25,"Overcast. Wet track at start, then drying.Scattered thunderstorms during the day, temperatures reaching a maximum of 26 degrees.[1]",0,0,1,1,1,Race circuit,Clockwise,4.381,70.0,306.63,86728.0,87419.0,87188.66666666667,24,1,30,0,0,0,0,0,0,0,0,1,0,0,0,0,2,2,1,1,1,58.0,72.0,78.0,73.0,72.0 +20.0,21,12,0.0,70,6863523.0,41.0,10.0,88883.0,177.442,kevin_magnussen,20.0,Danish,mclaren,British,2014,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,97.0,6.0,0.0,86578.0,84585.0,84585.0,32,22,"Overcast. Wet track at start, then drying.Scattered thunderstorms during the day, temperatures reaching a maximum of 26 degrees.[1]",0,0,1,1,1,Race circuit,Clockwise,4.381,70.0,306.63,84585.0,86578.0,85249.33333333333,22,0,11,1,1,0,0,0,0,2,0,3,1,0,1,1,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +26.0,10,14,0.0,69,,51.0,14.0,89401.0,176.414,kvyat,26.0,Russian,toro_rosso,Italian,2014,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,17.0,7.0,0.0,85361.0,84706.0,84706.0,30,20,"Overcast. Wet track at start, then drying.Scattered thunderstorms during the day, temperatures reaching a maximum of 26 degrees.[1]",0,0,1,1,1,Race circuit,Clockwise,4.381,70.0,306.63,84706.0,85361.0,84924.33333333333,20,0,11,0,0,0,0,0,0,0,0,2,2,1,0,0,1,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +13.0,20,13,0.0,70,6869082.0,45.0,12.0,89128.0,176.954,maldonado,13.0,Venezuelan,lotus_f1,British,2014,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,8.0,8.0,0.0,88643.0,88643.0,88643.0,39,29,"Overcast. Wet track at start, then drying.Scattered thunderstorms during the day, temperatures reaching a maximum of 26 degrees.[1]",0,0,1,1,1,Race circuit,Clockwise,4.381,70.0,306.63,88643.0,88643.0,88643.0,26,3,69,0,0,0,0,0,0,0,0,0,0,0,2,0,2,1,1,1,0,72.0,76.0,76.0,76.0,74.0 +19.0,6,5,10.0,70,6814899.0,51.0,7.0,88229.0,178.757,massa,19.0,Brazilian,williams,British,2014,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,135.0,4.0,0.0,86592.0,84030.0,84223.0,43,33,"Overcast. Wet track at start, then drying.Scattered thunderstorms during the day, temperatures reaching a maximum of 26 degrees.[1]",0,0,1,1,1,Race circuit,Clockwise,4.381,70.0,306.63,84030.0,86592.0,84948.33333333333,25,8,151,0,0,0,1,0,0,3,0,0,0,0,1,1,0,1,0,0,0,152.0,88.0,78.0,87.0,84.0 +7.0,16,6,8.0,70,6816549.0,47.0,6.0,87983.0,179.257,raikkonen,7.0,Finnish,ferrari,Italian,2014,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,142.0,3.0,0.0,86792.0,86792.0,86792.0,45,35,"Overcast. Wet track at start, then drying.Scattered thunderstorms during the day, temperatures reaching a maximum of 26 degrees.[1]",0,0,1,1,1,Race circuit,Clockwise,4.381,70.0,306.63,86792.0,86792.0,86792.0,27,8,118,0,0,0,0,0,0,2,1,0,3,1,2,0,0,0,0,0,0,115.0,80.0,78.0,82.0,78.0 +3.0,4,1,25.0,70,6785058.0,58.0,2.0,86608.0,182.103,ricciardo,3.0,Australian,red_bull,Austrian,2014,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,1.0,219.0,2.0,2.0,85495.0,83676.0,83391.0,35,25,"Overcast. Wet track at start, then drying.Scattered thunderstorms during the day, temperatures reaching a maximum of 26 degrees.[1]",0,0,1,1,1,Race circuit,Clockwise,4.381,70.0,306.63,83391.0,85495.0,84187.33333333333,22,3,61,4,0,3,2,0,1,0,1,0,0,0,0,0,0,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +6.0,1,4,12.0,70,6791419.0,64.0,1.0,85724.0,183.981,rosberg,6.0,German,mercedes,German,2014,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,4.0,393.0,1.0,9.0,85227.0,83310.0,82715.0,39,29,"Overcast. Wet track at start, then drying.Scattered thunderstorms during the day, temperatures reaching a maximum of 26 degrees.[1]",0,0,1,1,1,Race circuit,Clockwise,4.381,70.0,306.63,82715.0,85227.0,83750.66666666667,21,8,158,9,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,158.0,89.0,81.0,86.0,84.0 +99.0,11,11,0.0,70,6853227.0,41.0,8.0,88704.0,177.8,sutil,99.0,German,sauber,Swiss,2014,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,0.0,10.0,0.0,86027.0,85136.0,85136.0,41,31,"Overcast. Wet track at start, then drying.Scattered thunderstorms during the day, temperatures reaching a maximum of 26 degrees.[1]",0,0,1,1,1,Race circuit,Clockwise,4.381,70.0,306.63,85136.0,86027.0,85433.0,24,7,120,0,0,0,0,0,0,0,0,0,0,1,0,3,0,0,0,1,2,115.0,80.0,78.0,82.0,78.0 +25.0,8,9,2.0,70,6843585.0,31.0,11.0,89120.0,176.97,vergne,25.0,French,toro_rosso,Italian,2014,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,17.0,7.0,0.0,84941.0,84637.0,84720.0,34,24,"Overcast. Wet track at start, then drying.Scattered thunderstorms during the day, temperatures reaching a maximum of 26 degrees.[1]",0,0,1,1,1,Race circuit,Clockwise,4.381,70.0,306.63,84637.0,84941.0,84766.0,22,2,50,0,0,0,0,0,0,0,2,0,1,0,1,1,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +1.0,2,7,6.0,70,6826022.0,52.0,9.0,88746.0,177.716,vettel,5.0,German,red_bull,Austrian,2014,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,219.0,2.0,2.0,85662.0,83606.0,83201.0,37,27,"Overcast. Wet track at start, then drying.Scattered thunderstorms during the day, temperatures reaching a maximum of 26 degrees.[1]",0,0,1,1,1,Race circuit,Clockwise,4.381,70.0,306.63,83201.0,85662.0,84156.33333333333,20,7,131,2,0,2,2,2,1,0,0,0,0,0,0,0,0,0,0,0,1,133.0,90.0,90.0,81.0,84.0 +14.0,4,7,6.0,44,5137718.0,29.0,11.0,113879.0,221.413,alonso,14.0,Spanish,ferrari,Italian,2014,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,160.0,3.0,0.0,130197.0,128450.0,127786.0,43,33,Mostly cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,127786.0,130197.0,128811.0,25,8,159,2,1,1,3,2,3,0,0,1,0,0,0,0,0,0,0,0,0,158.0,89.0,81.0,86.0,84.0 +77.0,6,3,15.0,44,5104588.0,40.0,4.0,112716.0,223.698,bottas,77.0,Finnish,williams,British,2014,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,150.0,4.0,0.0,129250.0,128451.0,128049.0,35,25,Mostly cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,128049.0,129250.0,128583.33333333331,24,1,31,3,2,1,0,2,0,2,3,0,0,0,0,0,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +22.0,10,6,8.0,44,5131136.0,38.0,8.0,113483.0,222.186,button,22.0,British,mclaren,British,2014,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,105.0,5.0,0.0,130529.0,129272.0,129776.0,44,34,Mostly cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,129272.0,130529.0,129859.0,26,8,159,1,0,1,2,0,2,0,1,0,1,3,0,0,0,0,0,1,0,158.0,89.0,81.0,86.0,84.0 +4.0,19,16,0.0,43,,31.0,17.0,115247.0,218.785,chilton,4.0,British,marussia,Russian,2014,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,+1 Lap,0.0,2.0,9.0,0.0,132566.0,132566.0,132566.0,33,23,Mostly cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,132566.0,132566.0,132566.0,22,1,31,0,0,0,0,0,0,0,0,0,0,0,0,2,1,1,2,2,0,58.0,72.0,78.0,73.0,72.0 +9.0,22,17,0.0,43,,26.0,19.0,115900.0,217.553,ericsson,9.0,Swedish,caterham,Malaysian,2014,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,+1 Lap,0.0,0.0,11.0,0.0,134438.0,134438.0,134438.0,34,24,Mostly cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,134438.0,134438.0,134438.0,24,0,12,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,1,2,58.0,72.0,78.0,73.0,72.0 +21.0,20,15,0.0,44,5167381.0,32.0,12.0,114000.0,221.178,gutierrez,21.0,Mexican,sauber,Swiss,2014,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,0.0,10.0,0.0,133414.0,133414.0,133414.0,33,23,Mostly cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,133414.0,133414.0,133414.0,22,1,31,0,0,0,0,0,0,0,0,0,0,0,1,0,2,1,2,2,0,58.0,72.0,78.0,73.0,72.0 +27.0,18,10,1.0,44,5142253.0,40.0,9.0,113612.0,221.934,hulkenberg,27.0,German,force_india,Indian,2014,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,103.0,6.0,0.0,131267.0,131267.0,131267.0,37,27,Mostly cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,131267.0,131267.0,131267.0,23,4,70,0,0,0,0,4,2,1,1,1,1,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +20.0,7,12,0.0,44,5150818.0,28.0,15.0,114203.0,220.785,kevin_magnussen,20.0,Danish,mclaren,British,2014,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,105.0,5.0,0.0,131081.0,128901.0,128679.0,32,22,Mostly cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,128679.0,131081.0,129553.66666666669,22,0,12,1,1,0,0,0,0,2,0,3,1,0,2,1,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +26.0,11,9,2.0,44,5141903.0,26.0,14.0,114159.0,220.87,kvyat,26.0,Russian,toro_rosso,Italian,2014,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,19.0,7.0,0.0,130445.0,129377.0,129377.0,30,20,Mostly cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,129377.0,130445.0,129733.0,20,0,12,0,0,0,0,0,0,0,0,2,2,1,0,0,2,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +19.0,9,13,0.0,44,5152531.0,37.0,3.0,112512.0,224.104,massa,19.0,Brazilian,williams,British,2014,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,150.0,4.0,0.0,128403.0,128833.0,129178.0,43,33,Mostly cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,128403.0,129178.0,128804.66666666669,25,8,152,0,0,0,1,1,0,3,0,0,0,0,1,1,0,1,0,0,0,152.0,88.0,78.0,87.0,84.0 +11.0,13,8,4.0,44,5140849.0,28.0,16.0,114532.0,220.151,perez,11.0,Mexican,force_india,Indian,2014,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,103.0,6.0,0.0,130666.0,130084.0,130084.0,34,24,Mostly cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,130084.0,130666.0,130278.0,21,3,69,1,0,1,0,0,1,0,0,2,2,2,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +7.0,8,4,12.0,44,5113371.0,39.0,13.0,114090.0,221.004,raikkonen,7.0,Finnish,ferrari,Italian,2014,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,160.0,3.0,0.0,129885.0,128646.0,128780.0,45,35,Mostly cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,128646.0,129885.0,129103.66666666669,27,8,119,0,0,0,0,0,1,2,1,0,3,1,2,0,0,0,0,0,0,115.0,80.0,78.0,82.0,78.0 +3.0,5,1,25.0,44,5076556.0,44.0,6.0,112974.0,223.187,ricciardo,3.0,Australian,red_bull,Austrian,2014,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,2.0,254.0,2.0,3.0,130089.0,128989.0,127911.0,35,25,Mostly cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,127911.0,130089.0,128996.33333333331,22,3,62,5,0,3,2,0,1,0,1,0,0,0,0,0,0,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +6.0,1,2,18.0,44,5079939.0,36.0,1.0,110511.0,228.161,rosberg,6.0,German,mercedes,German,2014,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,4.0,411.0,1.0,9.0,127130.0,126723.0,125591.0,39,29,Mostly cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,125591.0,127130.0,126481.33333333331,21,8,159,9,5,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,158.0,89.0,81.0,86.0,84.0 +99.0,14,14,0.0,44,5159003.0,36.0,2.0,112413.0,224.301,sutil,99.0,German,sauber,Swiss,2014,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,0.0,10.0,0.0,131051.0,130238.0,130238.0,41,31,Mostly cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,130238.0,131051.0,130509.0,24,7,121,0,0,0,0,0,0,0,0,0,0,2,0,3,0,0,0,1,2,123.0,88.0,82.0,85.0,83.0 +25.0,12,11,0.0,44,5148476.0,31.0,7.0,113276.0,222.592,vergne,25.0,French,toro_rosso,Italian,2014,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,19.0,7.0,0.0,129811.0,129805.0,129805.0,34,24,Mostly cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,129805.0,129811.0,129807.0,22,2,51,0,0,0,0,0,0,0,2,1,1,0,1,1,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +1.0,3,5,10.0,44,5128752.0,36.0,5.0,112953.0,223.229,vettel,5.0,German,red_bull,Austrian,2014,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,254.0,2.0,3.0,130105.0,128868.0,127717.0,37,27,Mostly cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,127717.0,130105.0,128896.66666666669,20,7,132,2,0,2,2,2,1,1,0,0,0,0,0,0,0,0,0,0,1,133.0,90.0,90.0,81.0,84.0 +77.0,3,4,12.0,53,4791022.0,50.0,5.0,88559.0,235.49,bottas,77.0,Finnish,williams,British,2014,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,177.0,3.0,0.0,86012.0,84858.0,84697.0,35,25,"Sunny; Air: 25 °C (77 °F), Track: 37 to 42 °C (99 to 108 °F)",1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,84697.0,86012.0,85189.0,24,1,32,4,2,2,0,2,0,2,3,0,0,0,0,0,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +22.0,6,8,4.0,53,4813299.0,35.0,11.0,89245.0,233.68,button,22.0,British,mclaren,British,2014,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,110.0,5.0,0.0,86328.0,85630.0,85379.0,44,34,"Sunny; Air: 25 °C (77 °F), Track: 37 to 42 °C (99 to 108 °F)",1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,85379.0,86328.0,85779.0,26,8,160,1,0,1,2,0,3,0,1,0,1,3,0,0,0,0,0,1,0,158.0,89.0,81.0,86.0,84.0 +9.0,22,20,0.0,51,,47.0,19.0,90280.0,231.001,ericsson,9.0,Swedish,caterham,Malaysian,2014,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+2 Laps,0.0,0.0,11.0,0.0,88562.0,88562.0,88562.0,34,24,"Sunny; Air: 25 °C (77 °F), Track: 37 to 42 °C (99 to 108 °F)",1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,88562.0,88562.0,88562.0,24,0,13,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,2,2,58.0,72.0,78.0,73.0,72.0 +8.0,17,16,0.0,52,,38.0,18.0,90083.0,231.506,grosjean,8.0,French,lotus_f1,British,2014,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,8.0,8.0,0.0,87632.0,87632.0,87632.0,38,28,"Sunny; Air: 25 °C (77 °F), Track: 37 to 42 °C (99 to 108 °F)",1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,87632.0,87632.0,87632.0,23,5,58,0,0,0,0,0,0,0,2,0,0,1,2,0,1,2,0,0,0,72.0,76.0,76.0,76.0,74.0 +21.0,15,19,0.0,51,,40.0,15.0,89449.0,233.147,gutierrez,21.0,Mexican,sauber,Swiss,2014,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+2 Laps,0.0,0.0,10.0,0.0,86999.0,86692.0,86692.0,33,23,"Sunny; Air: 25 °C (77 °F), Track: 37 to 42 °C (99 to 108 °F)",1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,86692.0,86999.0,86794.33333333333,22,1,32,0,0,0,0,0,0,0,0,0,0,0,1,0,2,2,2,2,0,58.0,72.0,78.0,73.0,72.0 +44.0,1,1,25.0,53,4750236.0,29.0,1.0,88004.0,236.975,hamilton,44.0,British,mercedes,German,2014,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,5.0,454.0,1.0,10.0,85363.0,84560.0,84109.0,39,29,"Sunny; Air: 25 °C (77 °F), Track: 37 to 42 °C (99 to 108 °F)",1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,84109.0,85363.0,84677.33333333333,22,7,142,9,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,141.0,89.0,85.0,83.0,83.0 +27.0,13,12,0.0,53,4822842.0,35.0,13.0,89366.0,233.363,hulkenberg,27.0,German,force_india,Indian,2014,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,109.0,6.0,0.0,86371.0,86279.0,86279.0,37,27,"Sunny; Air: 25 °C (77 °F), Track: 37 to 42 °C (99 to 108 °F)",1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,86279.0,86371.0,86309.66666666667,23,4,71,0,0,0,0,4,2,1,1,1,2,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +17.0,19,18,0.0,52,,51.0,20.0,90521.0,230.386,jules_bianchi,17.0,French,marussia,Russian,2014,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,2.0,9.0,0.0,87738.0,87738.0,87738.0,35,25,"Sunny; Air: 25 °C (77 °F), Track: 37 to 42 °C (99 to 108 °F)",1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,87738.0,87738.0,87738.0,24,1,32,0,0,0,0,0,0,0,0,1,0,0,0,0,2,3,1,1,2,58.0,72.0,78.0,73.0,72.0 +20.0,5,10,1.0,53,4816407.0,34.0,12.0,89283.0,233.58,kevin_magnussen,20.0,Danish,mclaren,British,2014,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,110.0,5.0,0.0,86337.0,85973.0,85314.0,32,22,"Sunny; Air: 25 °C (77 °F), Track: 37 to 42 °C (99 to 108 °F)",1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,85314.0,86337.0,85874.66666666667,22,0,13,1,1,0,0,0,0,2,0,3,1,0,3,1,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +10.0,18,17,0.0,52,,35.0,21.0,90758.0,229.784,kobayashi,10.0,Japanese,caterham,Malaysian,2014,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,0.0,11.0,0.0,87671.0,87671.0,87671.0,38,28,"Sunny; Air: 25 °C (77 °F), Track: 37 to 42 °C (99 to 108 °F)",1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,87671.0,87671.0,87671.0,23,5,72,0,0,0,0,0,0,0,0,0,0,0,0,2,0,2,2,0,3,72.0,76.0,76.0,76.0,74.0 +26.0,21,11,0.0,53,4821420.0,51.0,4.0,88486.0,235.684,kvyat,26.0,Russian,toro_rosso,Italian,2014,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,19.0,7.0,0.0,86261.0,86070.0,86070.0,30,20,"Sunny; Air: 25 °C (77 °F), Track: 37 to 42 °C (99 to 108 °F)",1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,86070.0,86261.0,86133.66666666667,20,0,13,0,0,0,0,0,0,0,0,3,2,1,0,0,2,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +13.0,16,14,0.0,52,,32.0,17.0,89856.0,232.091,maldonado,13.0,Venezuelan,lotus_f1,British,2014,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,8.0,8.0,0.0,87520.0,87520.0,87520.0,39,29,"Sunny; Air: 25 °C (77 °F), Track: 37 to 42 °C (99 to 108 °F)",1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,87520.0,87520.0,87520.0,26,3,71,0,0,0,0,0,0,0,0,0,0,0,2,1,2,1,1,1,0,72.0,76.0,76.0,76.0,74.0 +19.0,4,3,15.0,53,4775262.0,46.0,3.0,88342.0,236.068,massa,19.0,Brazilian,williams,British,2014,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,177.0,3.0,0.0,85528.0,85046.0,84865.0,43,33,"Sunny; Air: 25 °C (77 °F), Track: 37 to 42 °C (99 to 108 °F)",1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,84865.0,85528.0,85146.33333333333,25,8,153,0,0,0,1,1,0,3,0,0,0,0,1,2,0,1,0,0,0,152.0,88.0,78.0,87.0,84.0 +11.0,10,7,6.0,53,4812754.0,35.0,8.0,89107.0,234.042,perez,11.0,Mexican,force_india,Indian,2014,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,109.0,6.0,0.0,86569.0,85863.0,85944.0,34,24,"Sunny; Air: 25 °C (77 °F), Track: 37 to 42 °C (99 to 108 °F)",1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,85863.0,86569.0,86125.33333333333,21,3,70,1,0,1,0,0,1,0,1,2,2,2,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +7.0,11,9,2.0,53,4813771.0,43.0,7.0,88942.0,234.476,raikkonen,7.0,Finnish,ferrari,Italian,2014,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,162.0,4.0,0.0,86689.0,86110.0,86110.0,45,35,"Sunny; Air: 25 °C (77 °F), Track: 37 to 42 °C (99 to 108 °F)",1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,86110.0,86689.0,86303.0,27,8,120,0,0,0,1,0,1,2,1,0,3,1,2,0,0,0,0,0,0,115.0,80.0,78.0,82.0,78.0 +3.0,9,5,10.0,53,4800545.0,53.0,6.0,88588.0,235.413,ricciardo,3.0,Australian,red_bull,Austrian,2014,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,3.0,272.0,2.0,3.0,86721.0,85946.0,85709.0,35,25,"Sunny; Air: 25 °C (77 °F), Track: 37 to 42 °C (99 to 108 °F)",1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,85709.0,86721.0,86125.33333333333,22,3,63,6,0,3,2,0,1,0,1,0,0,0,0,0,0,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +6.0,2,2,18.0,53,4753411.0,51.0,2.0,88206.0,236.432,rosberg,6.0,German,mercedes,German,2014,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,4.0,454.0,1.0,10.0,85493.0,84600.0,84383.0,39,29,"Sunny; Air: 25 °C (77 °F), Track: 37 to 42 °C (99 to 108 °F)",1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,84383.0,85493.0,84825.33333333333,21,8,160,10,6,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,158.0,89.0,81.0,86.0,84.0 +99.0,14,15,0.0,52,,46.0,14.0,89375.0,233.34,sutil,99.0,German,sauber,Swiss,2014,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,0.0,10.0,0.0,87034.0,86588.0,86588.0,41,31,"Sunny; Air: 25 °C (77 °F), Track: 37 to 42 °C (99 to 108 °F)",1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,86588.0,87034.0,86736.66666666667,24,7,122,0,0,0,0,0,0,0,0,0,0,2,0,3,1,0,0,1,2,123.0,88.0,82.0,85.0,83.0 +25.0,12,13,0.0,53,4823329.0,39.0,9.0,89121.0,234.005,vergne,25.0,French,toro_rosso,Italian,2014,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,19.0,7.0,0.0,86140.0,86157.0,86157.0,34,24,"Sunny; Air: 25 °C (77 °F), Track: 37 to 42 °C (99 to 108 °F)",1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,86140.0,86157.0,86151.33333333333,22,2,52,0,0,0,0,0,0,0,2,1,1,1,1,1,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +1.0,8,6,8.0,53,4810201.0,34.0,10.0,89141.0,233.952,vettel,5.0,German,red_bull,Austrian,2014,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,272.0,2.0,3.0,86631.0,85769.0,85436.0,37,27,"Sunny; Air: 25 °C (77 °F), Track: 37 to 42 °C (99 to 108 °F)",1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,85436.0,86631.0,85945.33333333333,20,7,133,2,0,2,2,3,1,1,0,0,0,0,0,0,0,0,0,0,1,134.0,87.0,90.0,80.0,83.0 +14.0,5,4,12.0,60,7220184.0,27.0,6.0,112115.0,162.636,alonso,14.0,Spanish,ferrari,Italian,2014,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,178.0,4.0,0.0,106889.0,106328.0,105907.0,43,33,Clear. Air: 28 to 30 °C (82 to 86 °F) Track: 33 to 37 °C (91 to 99 °F).,1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,105907.0,106889.0,106374.66666666669,25,8,161,2,1,1,3,2,3,1,0,1,0,0,0,0,0,0,0,0,0,158.0,89.0,81.0,86.0,84.0 +77.0,8,11,0.0,60,7269860.0,25.0,7.0,112515.0,162.058,bottas,77.0,Finnish,williams,British,2014,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,187.0,3.0,0.0,107196.0,106622.0,106187.0,35,25,Clear. Air: 28 to 30 °C (82 to 86 °F) Track: 33 to 37 °C (91 to 99 °F).,1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,106187.0,107196.0,106668.33333333331,24,1,33,4,2,2,1,2,0,2,3,0,0,0,0,0,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +4.0,21,17,0.0,59,,43.0,17.0,113807.0,160.218,chilton,4.0,British,marussia,Russian,2014,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,+1 Lap,0.0,2.0,9.0,0.0,110473.0,110473.0,110473.0,33,23,Clear. Air: 28 to 30 °C (82 to 86 °F) Track: 33 to 37 °C (91 to 99 °F).,1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,110473.0,110473.0,110473.0,22,1,33,0,0,0,0,0,0,0,0,0,0,0,0,2,1,1,3,2,0,58.0,72.0,78.0,73.0,72.0 +9.0,22,15,0.0,60,7298983.0,14.0,19.0,115416.0,157.985,ericsson,9.0,Swedish,caterham,Malaysian,2014,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,0.0,11.0,0.0,112287.0,112287.0,112287.0,34,24,Clear. Air: 28 to 30 °C (82 to 86 °F) Track: 33 to 37 °C (91 to 99 °F).,1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,112287.0,112287.0,112287.0,24,0,14,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,2,2,58.0,72.0,78.0,73.0,72.0 +8.0,16,13,0.0,60,7272824.0,25.0,15.0,113543.0,160.591,grosjean,8.0,French,lotus_f1,British,2014,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,8.0,8.0,0.0,107862.0,107812.0,107812.0,38,28,Clear. Air: 28 to 30 °C (82 to 86 °F) Track: 33 to 37 °C (91 to 99 °F).,1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,107812.0,107862.0,107828.66666666669,23,5,59,0,0,0,0,0,0,0,2,0,0,1,2,0,1,2,1,0,0,72.0,76.0,76.0,76.0,74.0 +44.0,1,1,25.0,60,7204795.0,39.0,1.0,110417.0,165.137,hamilton,44.0,British,mercedes,German,2014,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,6.0,479.0,1.0,11.0,106921.0,106287.0,105681.0,39,29,Clear. Air: 28 to 30 °C (82 to 86 °F) Track: 33 to 37 °C (91 to 99 °F).,1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,105681.0,106921.0,106296.33333333331,22,7,143,10,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,147.0,88.0,80.0,84.0,83.0 +27.0,13,9,2.0,60,7266456.0,27.0,10.0,112762.0,161.703,hulkenberg,27.0,German,force_india,Indian,2014,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,117.0,5.0,0.0,107370.0,107308.0,107308.0,37,27,Clear. Air: 28 to 30 °C (82 to 86 °F) Track: 33 to 37 °C (91 to 99 °F).,1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,107308.0,107370.0,107328.66666666669,23,4,72,0,0,0,0,4,2,1,1,1,2,0,1,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +17.0,19,16,0.0,60,7299338.0,47.0,14.0,113538.0,160.598,jules_bianchi,17.0,French,marussia,Russian,2014,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,2.0,9.0,0.0,109440.0,109440.0,109440.0,35,25,Clear. Air: 28 to 30 °C (82 to 86 °F) Track: 33 to 37 °C (91 to 99 °F).,1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,109440.0,109440.0,109440.0,24,1,33,0,0,0,0,0,0,0,0,1,0,0,0,0,2,3,1,1,3,58.0,72.0,78.0,73.0,72.0 +20.0,9,10,1.0,60,7267025.0,48.0,2.0,111639.0,163.33,kevin_magnussen,20.0,Danish,mclaren,British,2014,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,111.0,6.0,0.0,107976.0,106700.0,106250.0,32,22,Clear. Air: 28 to 30 °C (82 to 86 °F) Track: 33 to 37 °C (91 to 99 °F).,1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,106250.0,107976.0,106975.33333333331,22,0,14,1,1,0,0,0,0,2,0,3,2,0,3,1,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +26.0,10,14,0.0,60,7276803.0,45.0,3.0,111761.0,163.151,kvyat,26.0,Russian,toro_rosso,Italian,2014,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,27.0,7.0,0.0,107656.0,106926.0,107362.0,30,20,Clear. Air: 28 to 30 °C (82 to 86 °F) Track: 33 to 37 °C (91 to 99 °F).,1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,106926.0,107656.0,107314.66666666669,20,0,14,0,0,0,0,0,0,0,0,3,2,2,0,0,2,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +13.0,18,12,0.0,60,7271710.0,26.0,12.0,113213.0,161.059,maldonado,13.0,Venezuelan,lotus_f1,British,2014,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,8.0,8.0,0.0,109063.0,109063.0,109063.0,39,29,Clear. Air: 28 to 30 °C (82 to 86 °F) Track: 33 to 37 °C (91 to 99 °F).,1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,109063.0,109063.0,109063.0,26,3,72,0,0,0,0,0,0,0,0,0,0,0,2,1,3,1,1,1,0,72.0,76.0,76.0,76.0,74.0 +19.0,6,5,10.0,60,7246956.0,27.0,13.0,113283.0,160.959,massa,19.0,Brazilian,williams,British,2014,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,187.0,3.0,0.0,107615.0,106472.0,106000.0,43,33,Clear. Air: 28 to 30 °C (82 to 86 °F) Track: 33 to 37 °C (91 to 99 °F).,1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,106000.0,107615.0,106695.66666666669,25,8,154,1,0,1,1,1,0,3,0,0,0,0,1,2,0,1,0,0,0,152.0,88.0,78.0,87.0,84.0 +11.0,15,7,6.0,60,7263833.0,46.0,5.0,112007.0,162.793,perez,11.0,Mexican,force_india,Indian,2014,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,117.0,5.0,0.0,108143.0,107575.0,107575.0,34,24,Clear. Air: 28 to 30 °C (82 to 86 °F) Track: 33 to 37 °C (91 to 99 °F).,1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,107575.0,108143.0,107764.33333333331,21,3,71,1,0,1,0,0,1,1,1,2,2,2,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +7.0,7,8,4.0,60,7265436.0,28.0,11.0,112872.0,161.545,raikkonen,7.0,Finnish,ferrari,Italian,2014,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,178.0,4.0,0.0,106685.0,106359.0,106170.0,45,35,Clear. Air: 28 to 30 °C (82 to 86 °F) Track: 33 to 37 °C (91 to 99 °F).,1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,106170.0,106685.0,106404.66666666669,27,8,121,0,0,0,1,0,1,2,1,1,3,1,2,0,0,0,0,0,0,123.0,88.0,82.0,85.0,83.0 +3.0,3,3,15.0,60,7219068.0,30.0,9.0,112569.0,161.98,ricciardo,3.0,Australian,red_bull,Austrian,2014,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,3.0,305.0,2.0,3.0,107488.0,106493.0,105854.0,35,25,Clear. Air: 28 to 30 °C (82 to 86 °F) Track: 33 to 37 °C (91 to 99 °F).,1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,105854.0,107488.0,106611.66666666669,22,3,64,6,0,3,2,1,1,0,1,0,0,0,0,0,0,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +25.0,12,6,8.0,60,7261596.0,48.0,4.0,111937.0,162.895,vergne,25.0,French,toro_rosso,Italian,2014,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,27.0,7.0,0.0,107407.0,106989.0,106989.0,34,24,Clear. Air: 28 to 30 °C (82 to 86 °F) Track: 33 to 37 °C (91 to 99 °F).,1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,106989.0,107407.0,107128.33333333331,22,2,53,0,0,0,0,0,0,0,2,1,1,1,1,2,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +1.0,4,2,18.0,60,7218329.0,27.0,8.0,112519.0,162.052,vettel,5.0,German,red_bull,Austrian,2014,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,305.0,2.0,3.0,107476.0,106586.0,105902.0,37,27,Clear. Air: 28 to 30 °C (82 to 86 °F) Track: 33 to 37 °C (91 to 99 °F).,1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,105902.0,107476.0,106654.66666666669,20,7,134,2,0,2,2,3,2,1,0,0,0,0,0,0,0,0,0,0,1,134.0,87.0,90.0,80.0,83.0 +77.0,3,6,8.0,44,6816794.0,41.0,13.0,114103.0,183.213,bottas,77.0,Finnish,williams,British,2014,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,201.0,3.0,0.0,94301.0,93443.0,93128.0,35,25,Rain. Air: 20 °C (68 °F) Track: 24 °C (75 °F),0,0,0,1,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,93128.0,94301.0,93624.0,24,1,34,4,2,2,1,2,0,2,3,0,0,1,0,0,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +22.0,8,5,10.0,44,6770571.0,33.0,2.0,111721.0,187.119,button,22.0,British,mclaren,British,2014,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,121.0,6.0,0.0,95150.0,94648.0,94317.0,44,34,Rain. Air: 20 °C (68 °F) Track: 24 °C (75 °F),0,0,0,1,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,94317.0,95150.0,94705.0,26,8,162,1,0,1,2,0,3,0,2,0,1,3,0,0,0,0,0,1,1,158.0,89.0,81.0,86.0,84.0 +4.0,21,18,0.0,43,,25.0,21.0,116472.0,179.486,chilton,4.0,British,marussia,Russian,2014,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+1 Lap,0.0,2.0,9.0,0.0,97481.0,97481.0,97481.0,33,23,Rain. Air: 20 °C (68 °F) Track: 24 °C (75 °F),0,0,0,1,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,97481.0,97481.0,97481.0,22,1,34,0,0,0,0,0,0,0,0,0,0,0,0,2,1,1,3,3,0,58.0,72.0,78.0,73.0,72.0 +9.0,17,17,0.0,43,,27.0,14.0,114669.0,182.309,ericsson,9.0,Swedish,caterham,Malaysian,2014,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+1 Lap,0.0,0.0,11.0,0.0,96813.0,96813.0,96813.0,34,24,Rain. Air: 20 °C (68 °F) Track: 24 °C (75 °F),0,0,0,1,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,96813.0,96813.0,96813.0,24,0,15,0,0,0,0,0,0,0,0,0,0,1,0,0,1,1,0,2,2,58.0,72.0,78.0,73.0,72.0 +8.0,16,15,0.0,43,,28.0,16.0,115302.0,181.308,grosjean,8.0,French,lotus_f1,British,2014,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+1 Lap,0.0,8.0,8.0,0.0,95984.0,95984.0,95984.0,38,28,Rain. Air: 20 °C (68 °F) Track: 24 °C (75 °F),0,0,0,1,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,95984.0,95984.0,95984.0,23,5,60,0,0,0,0,0,0,0,2,0,0,1,2,1,1,2,1,0,0,72.0,76.0,76.0,76.0,74.0 +21.0,15,13,0.0,43,,40.0,17.0,115372.0,181.198,gutierrez,21.0,Mexican,sauber,Swiss,2014,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+1 Lap,0.0,0.0,10.0,0.0,95308.0,95681.0,95681.0,33,23,Rain. Air: 20 °C (68 °F) Track: 24 °C (75 °F),0,0,0,1,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,95308.0,95681.0,95556.66666666669,22,1,34,0,0,0,0,0,0,0,0,0,0,0,1,0,2,2,2,2,0,58.0,72.0,78.0,73.0,72.0 +44.0,2,1,25.0,44,6703021.0,39.0,1.0,111600.0,187.322,hamilton,44.0,British,mercedes,German,2014,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,7.0,522.0,1.0,12.0,93611.0,92982.0,92703.0,39,29,Rain. Air: 20 °C (68 °F) Track: 24 °C (75 °F),0,0,0,1,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,92703.0,93611.0,93098.66666666669,22,7,144,11,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,147.0,88.0,80.0,84.0,83.0 +27.0,13,8,4.0,44,6818969.0,28.0,7.0,112814.0,185.306,hulkenberg,27.0,German,force_india,Indian,2014,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,122.0,5.0,0.0,95000.0,95099.0,95099.0,37,27,Rain. Air: 20 °C (68 °F) Track: 24 °C (75 °F),0,0,0,1,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,95000.0,95099.0,95066.0,23,4,73,0,0,0,0,4,2,1,1,2,2,0,1,0,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +20.0,7,14,0.0,43,,38.0,9.0,113510.0,184.17,kevin_magnussen,20.0,Danish,mclaren,British,2014,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+1 Lap,0.0,121.0,6.0,0.0,94930.0,94229.0,94242.0,32,22,Rain. Air: 20 °C (68 °F) Track: 24 °C (75 °F),0,0,0,1,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,94229.0,94930.0,94467.0,22,0,15,1,1,0,0,0,0,2,0,3,3,0,3,1,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +10.0,19,19,0.0,43,,29.0,18.0,115641.0,180.776,kobayashi,10.0,Japanese,caterham,Malaysian,2014,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+1 Lap,0.0,0.0,11.0,0.0,97015.0,97015.0,97015.0,38,28,Rain. Air: 20 °C (68 °F) Track: 24 °C (75 °F),0,0,0,1,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,97015.0,97015.0,97015.0,23,5,74,0,0,0,0,0,0,0,0,0,0,0,0,2,0,2,2,1,3,74.0,75.0,75.0,72.0,71.0 +26.0,12,11,0.0,43,,25.0,12.0,114021.0,183.345,kvyat,26.0,Russian,toro_rosso,Italian,2014,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+1 Lap,0.0,29.0,7.0,0.0,95210.0,95092.0,95092.0,30,20,Rain. Air: 20 °C (68 °F) Track: 24 °C (75 °F),0,0,0,1,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,95092.0,95210.0,95131.33333333331,20,0,15,0,0,0,0,0,0,0,0,3,2,2,0,0,3,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +13.0,22,16,0.0,43,,26.0,15.0,114702.0,182.256,maldonado,13.0,Venezuelan,lotus_f1,British,2014,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+1 Lap,0.0,8.0,8.0,0.0,95917.0,95917.0,95917.0,39,29,Rain. Air: 20 °C (68 °F) Track: 24 °C (75 °F),0,0,0,1,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,95917.0,95917.0,95917.0,26,3,73,0,0,0,0,0,0,0,0,0,0,0,3,1,3,1,1,1,0,74.0,75.0,75.0,72.0,71.0 +19.0,4,7,6.0,44,6818147.0,39.0,8.0,113450.0,184.267,massa,19.0,Brazilian,williams,British,2014,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,201.0,3.0,0.0,94483.0,93551.0,93527.0,43,33,Rain. Air: 20 °C (68 °F) Track: 24 °C (75 °F),0,0,0,1,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,93527.0,94483.0,93853.66666666669,25,8,155,1,0,1,1,2,0,3,0,0,0,0,1,2,0,1,0,0,0,157.0,91.0,83.0,88.0,87.0 +11.0,11,10,1.0,43,,27.0,10.0,113556.0,184.095,perez,11.0,Mexican,force_india,Indian,2014,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+1 Lap,0.0,122.0,5.0,0.0,95439.0,95089.0,95089.0,34,24,Rain. Air: 20 °C (68 °F) Track: 24 °C (75 °F),0,0,0,1,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,95089.0,95439.0,95205.66666666669,21,3,72,1,0,1,0,0,1,2,1,2,2,2,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +7.0,10,12,0.0,43,,36.0,5.0,112426.0,185.946,raikkonen,7.0,Finnish,ferrari,Italian,2014,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+1 Lap,0.0,178.0,4.0,0.0,94984.0,94771.0,94548.0,45,35,Rain. Air: 20 °C (68 °F) Track: 24 °C (75 °F),0,0,0,1,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,94548.0,94984.0,94767.66666666669,27,8,122,0,0,0,1,0,1,2,2,1,3,1,2,0,0,0,0,0,0,123.0,88.0,82.0,85.0,83.0 +3.0,6,4,12.0,44,6741839.0,38.0,4.0,112231.0,186.269,ricciardo,3.0,Australian,red_bull,Austrian,2014,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,3.0,332.0,2.0,3.0,95593.0,94466.0,94075.0,35,25,Rain. Air: 20 °C (68 °F) Track: 24 °C (75 °F),0,0,0,1,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,94075.0,95593.0,94711.33333333331,22,3,65,7,0,4,2,1,1,0,1,0,0,0,0,0,0,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +6.0,1,2,18.0,44,6712201.0,15.0,6.0,112551.0,185.739,rosberg,6.0,German,mercedes,German,2014,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,4.0,522.0,1.0,12.0,93671.0,92950.0,92506.0,39,29,Rain. Air: 20 °C (68 °F) Track: 24 °C (75 °F),0,0,0,1,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,92506.0,93671.0,93042.33333333331,21,8,162,11,7,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,158.0,89.0,81.0,86.0,84.0 +25.0,20,9,2.0,44,6830659.0,35.0,11.0,113562.0,184.086,vergne,25.0,French,toro_rosso,Italian,2014,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,29.0,7.0,0.0,95155.0,94984.0,94984.0,34,24,Rain. Air: 20 °C (68 °F) Track: 24 °C (75 °F),0,0,0,1,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,94984.0,95155.0,95041.0,22,2,54,0,0,0,0,0,1,0,2,1,1,1,1,2,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +1.0,9,3,15.0,44,6732143.0,32.0,3.0,111915.0,186.795,vettel,5.0,German,red_bull,Austrian,2014,15,Japanese Grand Prix,21600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,332.0,2.0,3.0,95517.0,94784.0,94432.0,37,27,Rain. Air: 20 °C (68 °F) Track: 24 °C (75 °F),0,0,0,1,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,94432.0,95517.0,94911.0,20,7,135,3,1,2,2,3,2,1,0,0,0,0,0,0,0,0,0,0,1,134.0,87.0,90.0,80.0,83.0 +14.0,7,6,8.0,53,5570760.0,53.0,6.0,102179.0,206.038,alonso,14.0,Spanish,ferrari,Italian,2014,16,Russian Grand Prix,39600000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,0.0,188.0,4.0,0.0,100255.0,99786.0,99709.0,43,33,"Fine and dry;21 °C (70 °F) ambient temperature,33 °C (91 °F) track temperature[4]",1,0,1,0,0,Race circuit,Clockwise,5.848,53.0,309.745,99709.0,100255.0,99916.66666666669,25,8,163,2,1,1,4,2,3,1,0,1,0,0,0,0,0,0,0,0,0,158.0,89.0,81.0,86.0,84.0 +77.0,3,3,15.0,53,5528169.0,53.0,1.0,100896.0,208.658,bottas,77.0,Finnish,williams,British,2014,16,Russian Grand Prix,39600000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,0.0,216.0,3.0,0.0,99125.0,98971.0,98920.0,35,25,"Fine and dry;21 °C (70 °F) ambient temperature,33 °C (91 °F) track temperature[4]",1,0,1,0,0,Race circuit,Clockwise,5.848,53.0,309.745,98920.0,99125.0,99005.33333333331,24,1,35,4,2,2,1,2,1,2,3,0,0,1,0,0,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +22.0,4,4,12.0,53,5540978.0,47.0,4.0,101964.0,206.472,button,22.0,British,mclaren,British,2014,16,Russian Grand Prix,39600000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,0.0,143.0,5.0,0.0,99560.0,99381.0,99121.0,44,34,"Fine and dry;21 °C (70 °F) ambient temperature,33 °C (91 °F) track temperature[4]",1,0,1,0,0,Race circuit,Clockwise,5.848,53.0,309.745,99121.0,99560.0,99354.0,26,8,163,1,0,1,2,1,3,0,2,0,1,3,0,0,0,0,0,1,1,158.0,89.0,81.0,86.0,84.0 +9.0,16,19,0.0,51,,48.0,16.0,103979.0,202.471,ericsson,9.0,Swedish,caterham,Malaysian,2014,16,Russian Grand Prix,39600000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,+2 Laps,0.0,0.0,11.0,0.0,102648.0,102648.0,102648.0,34,24,"Fine and dry;21 °C (70 °F) ambient temperature,33 °C (91 °F) track temperature[4]",1,0,1,0,0,Race circuit,Clockwise,5.848,53.0,309.745,102648.0,102648.0,102648.0,24,0,16,0,0,0,0,0,0,0,0,0,0,1,0,0,1,1,0,3,2,58.0,72.0,78.0,73.0,72.0 +8.0,15,17,0.0,52,,49.0,19.0,104461.0,201.537,grosjean,8.0,French,lotus_f1,British,2014,16,Russian Grand Prix,39600000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,+1 Lap,0.0,8.0,8.0,0.0,102526.0,101397.0,101397.0,38,28,"Fine and dry;21 °C (70 °F) ambient temperature,33 °C (91 °F) track temperature[4]",1,0,1,0,0,Race circuit,Clockwise,5.848,53.0,309.745,101397.0,102526.0,101773.33333333331,23,5,61,0,0,0,0,0,0,0,2,0,0,1,2,1,1,3,1,0,0,72.0,76.0,76.0,76.0,74.0 +21.0,13,15,0.0,52,,45.0,18.0,104075.0,202.284,gutierrez,21.0,Mexican,sauber,Swiss,2014,16,Russian Grand Prix,39600000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,+1 Lap,0.0,0.0,10.0,0.0,101159.0,100536.0,100536.0,33,23,"Fine and dry;21 °C (70 °F) ambient temperature,33 °C (91 °F) track temperature[4]",1,0,1,0,0,Race circuit,Clockwise,5.848,53.0,309.745,100536.0,101159.0,100743.66666666669,22,1,35,0,0,0,0,0,0,0,0,0,0,0,1,1,2,2,2,2,0,58.0,72.0,78.0,73.0,72.0 +44.0,1,1,25.0,53,5510744.0,48.0,3.0,101606.0,207.2,hamilton,44.0,British,mercedes,German,2014,16,Russian Grand Prix,39600000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,8.0,565.0,1.0,13.0,98759.0,98338.0,98513.0,39,29,"Fine and dry;21 °C (70 °F) ambient temperature,33 °C (91 °F) track temperature[4]",1,0,1,0,0,Race circuit,Clockwise,5.848,53.0,309.745,98338.0,98759.0,98536.66666666669,22,7,145,12,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,147.0,88.0,80.0,84.0,83.0 +27.0,17,12,0.0,53,5592053.0,50.0,9.0,102685.0,205.023,hulkenberg,27.0,German,force_india,Indian,2014,16,Russian Grand Prix,39600000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,0.0,123.0,6.0,0.0,100273.0,100058.0,100058.0,37,27,"Fine and dry;21 °C (70 °F) ambient temperature,33 °C (91 °F) track temperature[4]",1,0,1,0,0,Race circuit,Clockwise,5.848,53.0,309.745,100058.0,100273.0,100129.66666666669,23,4,74,0,0,0,0,4,2,1,2,2,2,0,1,0,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +20.0,11,5,10.0,53,5564360.0,44.0,14.0,103076.0,204.245,kevin_magnussen,20.0,Danish,mclaren,British,2014,16,Russian Grand Prix,39600000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,0.0,143.0,5.0,0.0,99735.0,99022.0,99629.0,32,22,"Fine and dry;21 °C (70 °F) ambient temperature,33 °C (91 °F) track temperature[4]",1,0,1,0,0,Race circuit,Clockwise,5.848,53.0,309.745,99022.0,99735.0,99462.0,22,0,16,1,1,0,0,0,0,2,0,3,3,0,3,1,1,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +26.0,5,14,0.0,52,,52.0,5.0,102022.0,206.355,kvyat,26.0,Russian,toro_rosso,Italian,2014,16,Russian Grand Prix,39600000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,+1 Lap,0.0,29.0,7.0,0.0,100074.0,99296.0,99277.0,30,20,"Fine and dry;21 °C (70 °F) ambient temperature,33 °C (91 °F) track temperature[4]",1,0,1,0,0,Race circuit,Clockwise,5.848,53.0,309.745,99277.0,100074.0,99549.0,20,0,16,0,0,0,0,0,0,0,0,3,2,3,0,0,3,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +13.0,21,18,0.0,52,,50.0,17.0,104030.0,202.372,maldonado,13.0,Venezuelan,lotus_f1,British,2014,16,Russian Grand Prix,39600000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,+1 Lap,0.0,8.0,8.0,0.0,103205.0,103205.0,103205.0,39,29,"Fine and dry;21 °C (70 °F) ambient temperature,33 °C (91 °F) track temperature[4]",1,0,1,0,0,Race circuit,Clockwise,5.848,53.0,309.745,103205.0,103205.0,103205.0,26,3,74,0,0,0,0,0,0,0,0,0,0,0,3,1,3,1,2,1,0,74.0,75.0,75.0,72.0,71.0 +19.0,18,11,0.0,53,5591621.0,47.0,10.0,102879.0,204.636,massa,19.0,Brazilian,williams,British,2014,16,Russian Grand Prix,39600000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,0.0,216.0,3.0,0.0,103064.0,103064.0,103064.0,43,33,"Fine and dry;21 °C (70 °F) ambient temperature,33 °C (91 °F) track temperature[4]",1,0,1,0,0,Race circuit,Clockwise,5.848,53.0,309.745,103064.0,103064.0,103064.0,25,8,156,1,0,1,1,2,0,4,0,0,0,0,1,2,0,1,0,0,0,157.0,91.0,83.0,88.0,87.0 +11.0,12,10,1.0,53,5590811.0,47.0,12.0,102924.0,204.547,perez,11.0,Mexican,force_india,Indian,2014,16,Russian Grand Prix,39600000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,0.0,123.0,6.0,0.0,100723.0,100163.0,100163.0,34,24,"Fine and dry;21 °C (70 °F) ambient temperature,33 °C (91 °F) track temperature[4]",1,0,1,0,0,Race circuit,Clockwise,5.848,53.0,309.745,100163.0,100723.0,100349.66666666669,21,3,73,1,0,1,0,0,1,2,1,2,3,2,0,0,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +7.0,8,9,2.0,53,5589621.0,45.0,11.0,102919.0,204.556,raikkonen,7.0,Finnish,ferrari,Italian,2014,16,Russian Grand Prix,39600000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,0.0,188.0,4.0,0.0,100098.0,99838.0,99771.0,45,35,"Fine and dry;21 °C (70 °F) ambient temperature,33 °C (91 °F) track temperature[4]",1,0,1,0,0,Race circuit,Clockwise,5.848,53.0,309.745,99771.0,100098.0,99902.33333333331,27,8,123,0,0,0,1,0,1,2,2,1,3,1,3,0,0,0,0,0,0,123.0,88.0,82.0,85.0,83.0 +3.0,6,7,6.0,53,5572556.0,50.0,13.0,103050.0,204.296,ricciardo,3.0,Australian,red_bull,Austrian,2014,16,Russian Grand Prix,39600000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,3.0,342.0,2.0,3.0,100519.0,99666.0,99635.0,35,25,"Fine and dry;21 °C (70 °F) ambient temperature,33 °C (91 °F) track temperature[4]",1,0,1,0,0,Race circuit,Clockwise,5.848,53.0,309.745,99635.0,100519.0,99940.0,22,3,66,7,0,4,3,1,1,0,1,0,0,0,0,0,0,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +6.0,2,2,18.0,53,5524401.0,52.0,2.0,101360.0,207.703,rosberg,6.0,German,mercedes,German,2014,16,Russian Grand Prix,39600000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,4.0,565.0,1.0,13.0,99076.0,98606.0,98713.0,39,29,"Fine and dry;21 °C (70 °F) ambient temperature,33 °C (91 °F) track temperature[4]",1,0,1,0,0,Race circuit,Clockwise,5.848,53.0,309.745,98606.0,99076.0,98798.33333333331,21,8,163,12,8,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,158.0,89.0,81.0,86.0,84.0 +99.0,14,16,0.0,52,,42.0,15.0,103822.0,202.777,sutil,99.0,German,sauber,Swiss,2014,16,Russian Grand Prix,39600000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,+1 Lap,0.0,0.0,10.0,0.0,100766.0,100984.0,100984.0,41,31,"Fine and dry;21 °C (70 °F) ambient temperature,33 °C (91 °F) track temperature[4]",1,0,1,0,0,Race circuit,Clockwise,5.848,53.0,309.745,100766.0,100984.0,100911.33333333331,24,7,125,0,0,0,0,0,0,0,0,0,0,2,0,3,1,1,0,1,2,123.0,88.0,82.0,85.0,83.0 +25.0,9,13,0.0,53,5608039.0,53.0,7.0,102550.0,205.293,vergne,25.0,French,toro_rosso,Italian,2014,16,Russian Grand Prix,39600000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,0.0,29.0,7.0,0.0,100354.0,99929.0,100020.0,34,24,"Fine and dry;21 °C (70 °F) ambient temperature,33 °C (91 °F) track temperature[4]",1,0,1,0,0,Race circuit,Clockwise,5.848,53.0,309.745,99929.0,100354.0,100101.0,22,2,55,0,0,0,0,0,1,0,2,2,1,1,1,2,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +1.0,10,8,4.0,53,5576929.0,53.0,8.0,102630.0,205.133,vettel,5.0,German,red_bull,Austrian,2014,16,Russian Grand Prix,39600000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,0.0,342.0,2.0,3.0,100382.0,100052.0,100052.0,37,27,"Fine and dry;21 °C (70 °F) ambient temperature,33 °C (91 °F) track temperature[4]",1,0,1,0,0,Race circuit,Clockwise,5.848,53.0,309.745,100052.0,100382.0,100162.0,20,7,136,4,1,3,2,3,2,1,0,0,0,0,0,0,0,0,0,0,1,134.0,87.0,90.0,80.0,83.0 +14.0,6,6,8.0,56,6100016.0,47.0,2.0,101474.0,195.585,alonso,14.0,Spanish,ferrari,Italian,2014,17,United States Grand Prix,72000000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,0.0,196.0,4.0,0.0,98349.0,98010.0,97610.0,43,33,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,97610.0,98349.0,97989.66666666669,25,8,164,2,1,1,4,2,4,1,0,1,0,0,0,0,0,0,0,0,0,162.0,86.0,81.0,84.0,83.0 +77.0,3,5,10.0,56,6035777.0,55.0,6.0,102505.0,193.617,bottas,77.0,Finnish,williams,British,2014,17,United States Grand Prix,72000000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,0.0,238.0,3.0,0.0,98249.0,97499.0,96906.0,35,25,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,96906.0,98249.0,97551.33333333331,24,1,36,5,2,3,1,2,1,2,3,0,0,1,0,0,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +22.0,12,12,0.0,55,,33.0,13.0,104255.0,190.367,button,22.0,British,mclaren,British,2014,17,United States Grand Prix,72000000.0,americas,Austin,USA,30.1328,-97.6411,161.0,+1 Lap,0.0,147.0,5.0,0.0,98574.0,98024.0,97655.0,44,34,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,97655.0,98574.0,98084.33333333331,26,8,164,1,0,1,3,1,3,0,2,0,1,3,0,0,0,0,0,1,1,162.0,86.0,81.0,84.0,83.0 +8.0,16,11,0.0,55,,51.0,15.0,104440.0,190.03,grosjean,8.0,French,lotus_f1,British,2014,17,United States Grand Prix,72000000.0,americas,Austin,USA,30.1328,-97.6411,161.0,+1 Lap,0.0,10.0,8.0,0.0,99679.0,99679.0,99679.0,38,28,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,99679.0,99679.0,99679.0,23,5,62,0,0,0,0,0,0,0,2,0,0,1,2,1,1,3,1,1,0,72.0,76.0,76.0,76.0,74.0 +21.0,15,14,0.0,55,,47.0,10.0,103006.0,192.676,gutierrez,21.0,Mexican,sauber,Swiss,2014,17,United States Grand Prix,72000000.0,americas,Austin,USA,30.1328,-97.6411,161.0,+1 Lap,0.0,0.0,10.0,0.0,99555.0,99555.0,99555.0,33,23,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,99555.0,99555.0,99555.0,22,1,36,0,0,0,0,0,0,0,0,0,0,0,1,1,2,3,2,2,0,58.0,72.0,78.0,73.0,72.0 +44.0,2,1,25.0,56,6004785.0,49.0,4.0,101929.0,194.712,hamilton,44.0,British,mercedes,German,2014,17,United States Grand Prix,72000000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,9.0,608.0,1.0,14.0,97196.0,97287.0,96443.0,39,29,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,96443.0,97287.0,96975.33333333331,22,7,146,13,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,147.0,88.0,80.0,84.0,83.0 +20.0,7,8,4.0,56,6105467.0,29.0,14.0,104287.0,190.309,kevin_magnussen,20.0,Danish,mclaren,British,2014,17,United States Grand Prix,72000000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,0.0,147.0,5.0,0.0,98557.0,98047.0,97706.0,32,22,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,97706.0,98557.0,98103.33333333331,22,0,17,1,1,0,0,1,0,2,0,3,3,0,3,1,1,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +26.0,17,15,0.0,55,,53.0,3.0,101689.0,195.171,kvyat,26.0,Russian,toro_rosso,Italian,2014,17,United States Grand Prix,72000000.0,americas,Austin,USA,30.1328,-97.6411,161.0,+1 Lap,0.0,30.0,7.0,0.0,98936.0,98699.0,98699.0,30,20,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,98699.0,98936.0,98778.0,20,0,17,0,0,0,0,0,0,0,0,3,2,3,0,0,4,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +13.0,10,9,2.0,56,6112655.0,38.0,11.0,103808.0,191.187,maldonado,13.0,Venezuelan,lotus_f1,British,2014,17,United States Grand Prix,72000000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,0.0,10.0,8.0,0.0,98608.0,98467.0,98467.0,39,29,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,98467.0,98608.0,98514.0,26,3,75,0,0,0,0,0,0,0,0,0,0,0,3,1,3,1,2,1,1,74.0,75.0,75.0,72.0,71.0 +19.0,4,4,12.0,56,6031709.0,50.0,9.0,102971.0,192.741,massa,19.0,Brazilian,williams,British,2014,17,United States Grand Prix,72000000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,0.0,238.0,3.0,0.0,97877.0,97347.0,97205.0,43,33,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,97205.0,97877.0,97476.33333333331,25,8,157,1,0,1,1,2,0,4,0,0,0,1,1,2,0,1,0,0,0,158.0,89.0,81.0,86.0,84.0 +7.0,8,13,0.0,55,,54.0,8.0,102888.0,192.897,raikkonen,7.0,Finnish,ferrari,Italian,2014,17,United States Grand Prix,72000000.0,americas,Austin,USA,30.1328,-97.6411,161.0,+1 Lap,0.0,196.0,4.0,0.0,98669.0,98263.0,97804.0,45,35,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,97804.0,98669.0,98245.33333333331,27,8,124,0,0,0,1,0,1,2,2,2,3,1,3,0,0,0,0,0,0,123.0,88.0,82.0,85.0,83.0 +3.0,5,3,15.0,56,6030345.0,33.0,7.0,102831.0,193.004,ricciardo,3.0,Australian,red_bull,Austrian,2014,17,United States Grand Prix,72000000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,3.0,363.0,2.0,3.0,98814.0,97873.0,97244.0,35,25,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,97244.0,98814.0,97977.0,22,3,67,7,0,4,3,1,1,1,1,0,0,0,0,0,0,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +6.0,1,2,18.0,56,6009099.0,48.0,5.0,101932.0,194.706,rosberg,6.0,German,mercedes,German,2014,17,United States Grand Prix,72000000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,4.0,608.0,1.0,14.0,98303.0,96290.0,96067.0,39,29,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,96067.0,98303.0,96886.66666666669,21,8,164,13,9,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,162.0,86.0,81.0,84.0,83.0 +25.0,14,10,1.0,56,6113648.0,17.0,12.0,104180.0,190.504,vergne,25.0,French,toro_rosso,Italian,2014,17,United States Grand Prix,72000000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,0.0,30.0,7.0,0.0,99250.0,99250.0,99250.0,34,24,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,99250.0,99250.0,99250.0,22,2,56,0,0,0,0,0,1,0,2,2,1,1,1,3,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +1.0,18,7,6.0,56,6100519.0,50.0,1.0,101379.0,195.768,vettel,5.0,German,red_bull,Austrian,2014,17,United States Grand Prix,72000000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,0.0,363.0,2.0,3.0,99621.0,99621.0,99621.0,37,27,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,99621.0,99621.0,99621.0,20,7,137,4,1,3,2,3,2,1,1,0,0,0,0,0,0,0,0,0,1,134.0,87.0,90.0,80.0,83.0 +14.0,8,6,8.0,71,5464461.0,55.0,10.0,74313.0,208.744,alonso,14.0,Spanish,ferrari,Italian,2014,18,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,210.0,4.0,0.0,71558.0,71215.0,70977.0,43,33,"Sunny, Air: 23 to 24 °C (73 to 75 °F), Track: 46 to 50 °C (115 to 122 °F)",1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,70977.0,71558.0,71250.0,25,8,165,2,1,1,4,2,5,1,0,1,0,0,0,0,0,0,0,0,0,162.0,86.0,81.0,84.0,83.0 +77.0,4,10,1.0,70,,64.0,9.0,74229.0,208.98,bottas,77.0,Finnish,williams,British,2014,18,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,254.0,3.0,0.0,70832.0,70421.0,70305.0,35,25,"Sunny, Air: 23 to 24 °C (73 to 75 °F), Track: 46 to 50 °C (115 to 122 °F)",1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,70305.0,70832.0,70519.33333333333,24,1,37,5,2,3,1,3,1,2,3,0,0,1,0,0,0,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +22.0,5,4,12.0,71,5451213.0,68.0,4.0,73999.0,209.629,button,22.0,British,mclaren,British,2014,18,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,161.0,5.0,0.0,71097.0,71127.0,70930.0,44,34,"Sunny, Air: 23 to 24 °C (73 to 75 °F), Track: 46 to 50 °C (115 to 122 °F)",1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,70930.0,71127.0,71051.33333333333,26,8,165,1,0,1,3,1,3,0,2,0,1,3,1,0,0,0,0,1,1,162.0,86.0,81.0,84.0,83.0 +8.0,14,17,0.0,63,,63.0,6.0,74070.0,209.428,grosjean,8.0,French,lotus_f1,British,2014,18,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+8 Laps,0.0,10.0,8.0,0.0,72037.0,72037.0,72037.0,38,28,"Sunny, Air: 23 to 24 °C (73 to 75 °F), Track: 46 to 50 °C (115 to 122 °F)",1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,72037.0,72037.0,72037.0,23,5,63,0,0,0,0,0,0,0,2,0,0,2,2,1,1,3,1,1,0,72.0,76.0,76.0,76.0,74.0 +21.0,11,14,0.0,70,,64.0,16.0,74875.0,207.177,gutierrez,21.0,Mexican,sauber,Swiss,2014,18,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,0.0,10.0,0.0,71520.0,71591.0,71591.0,33,23,"Sunny, Air: 23 to 24 °C (73 to 75 °F), Track: 46 to 50 °C (115 to 122 °F)",1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,71520.0,71591.0,71567.33333333333,22,1,37,0,0,0,0,0,0,0,0,0,0,0,1,1,3,3,2,2,0,72.0,76.0,76.0,76.0,74.0 +44.0,2,2,18.0,71,5404012.0,62.0,1.0,73555.0,210.895,hamilton,44.0,British,mercedes,German,2014,18,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,10.0,651.0,1.0,15.0,70457.0,70712.0,70056.0,39,29,"Sunny, Air: 23 to 24 °C (73 to 75 °F), Track: 46 to 50 °C (115 to 122 °F)",1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,70056.0,70712.0,70408.33333333333,22,7,147,14,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,147.0,88.0,80.0,84.0,83.0 +27.0,12,8,4.0,71,5466489.0,70.0,3.0,73728.0,210.4,hulkenberg,27.0,German,force_india,Indian,2014,18,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,127.0,6.0,0.0,71848.0,71976.0,71976.0,37,27,"Sunny, Air: 23 to 24 °C (73 to 75 °F), Track: 46 to 50 °C (115 to 122 °F)",1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,71848.0,71976.0,71933.33333333333,23,4,76,0,0,0,0,4,2,1,2,2,2,0,2,0,0,0,1,0,0,74.0,75.0,75.0,72.0,71.0 +20.0,7,9,2.0,71,5472640.0,62.0,11.0,74544.0,208.097,kevin_magnussen,20.0,Danish,mclaren,British,2014,18,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,161.0,5.0,0.0,71134.0,71211.0,70969.0,32,22,"Sunny, Air: 23 to 24 °C (73 to 75 °F), Track: 46 to 50 °C (115 to 122 °F)",1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,70969.0,71211.0,71104.66666666667,22,0,18,1,1,0,0,1,0,2,1,3,3,0,3,1,1,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +26.0,17,11,0.0,70,,62.0,8.0,74144.0,209.219,kvyat,26.0,Russian,toro_rosso,Italian,2014,18,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,30.0,7.0,0.0,71423.0,71423.0,71423.0,30,20,"Sunny, Air: 23 to 24 °C (73 to 75 °F), Track: 46 to 50 °C (115 to 122 °F)",1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,71423.0,71423.0,71423.0,20,0,18,0,0,0,0,0,0,0,0,3,2,3,0,0,4,1,1,0,0,58.0,72.0,78.0,73.0,72.0 +13.0,16,12,0.0,70,,47.0,14.0,74810.0,207.357,maldonado,13.0,Venezuelan,lotus_f1,British,2014,18,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,10.0,8.0,0.0,72233.0,72233.0,72233.0,39,29,"Sunny, Air: 23 to 24 °C (73 to 75 °F), Track: 46 to 50 °C (115 to 122 °F)",1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,72233.0,72233.0,72233.0,26,3,76,0,0,0,0,0,0,0,0,1,0,0,3,1,3,1,2,1,1,74.0,75.0,75.0,72.0,71.0 +19.0,3,3,15.0,71,5443586.0,59.0,7.0,74101.0,209.341,massa,19.0,Brazilian,williams,British,2014,18,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,254.0,3.0,0.0,70602.0,70343.0,70247.0,43,33,"Sunny, Air: 23 to 24 °C (73 to 75 °F), Track: 46 to 50 °C (115 to 122 °F)",1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,70247.0,70602.0,70397.33333333333,25,8,158,1,0,1,2,2,0,4,0,0,0,1,1,2,0,1,0,0,0,158.0,89.0,81.0,86.0,84.0 +11.0,18,15,0.0,70,,70.0,12.0,74550.0,208.08,perez,11.0,Mexican,force_india,Indian,2014,18,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,127.0,6.0,0.0,72076.0,72076.0,72076.0,34,24,"Sunny, Air: 23 to 24 °C (73 to 75 °F), Track: 46 to 50 °C (115 to 122 °F)",1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,72076.0,72076.0,72076.0,21,3,75,1,0,1,0,0,1,2,1,2,4,2,0,0,0,0,0,1,0,74.0,75.0,75.0,72.0,71.0 +7.0,10,7,6.0,71,5466285.0,37.0,17.0,74963.0,206.934,raikkonen,7.0,Finnish,ferrari,Italian,2014,18,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,210.0,4.0,0.0,71193.0,71188.0,71099.0,45,35,"Sunny, Air: 23 to 24 °C (73 to 75 °F), Track: 46 to 50 °C (115 to 122 °F)",1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,71099.0,71193.0,71160.0,27,8,125,0,0,0,1,0,1,2,2,2,3,1,3,1,0,0,0,0,0,123.0,88.0,82.0,85.0,83.0 +6.0,1,1,25.0,71,5402555.0,62.0,2.0,73619.0,210.711,rosberg,6.0,German,mercedes,German,2014,18,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,4.0,651.0,1.0,15.0,70347.0,70303.0,70023.0,39,29,"Sunny, Air: 23 to 24 °C (73 to 75 °F), Track: 46 to 50 °C (115 to 122 °F)",1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,70023.0,70347.0,70224.33333333333,21,8,165,14,10,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,162.0,86.0,81.0,84.0,83.0 +99.0,13,16,0.0,70,,42.0,15.0,74834.0,207.29,sutil,99.0,German,sauber,Swiss,2014,18,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,0.0,10.0,0.0,71943.0,72099.0,72099.0,41,31,"Sunny, Air: 23 to 24 °C (73 to 75 °F), Track: 46 to 50 °C (115 to 122 °F)",1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,71943.0,72099.0,72047.0,24,7,127,0,0,0,0,0,0,0,0,0,0,2,0,3,1,1,1,1,3,130.0,89.0,85.0,82.0,82.0 +25.0,15,13,0.0,70,,65.0,13.0,74774.0,207.457,vergne,25.0,French,toro_rosso,Italian,2014,18,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,30.0,7.0,0.0,72040.0,72040.0,72040.0,34,24,"Sunny, Air: 23 to 24 °C (73 to 75 °F), Track: 46 to 50 °C (115 to 122 °F)",1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,72040.0,72040.0,72040.0,22,2,57,0,0,0,0,0,1,0,2,2,2,1,1,3,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +1.0,6,5,10.0,71,5453975.0,68.0,5.0,74018.0,209.576,vettel,5.0,German,red_bull,Austrian,2014,18,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,373.0,2.0,3.0,71880.0,71129.0,70938.0,37,27,"Sunny, Air: 23 to 24 °C (73 to 75 °F), Track: 46 to 50 °C (115 to 122 °F)",1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,70938.0,71880.0,71315.66666666667,20,7,138,4,1,3,2,3,2,2,1,0,0,0,0,0,0,0,0,0,1,137.0,87.0,90.0,80.0,83.0 +14.0,8,9,4.0,55,6028432.0,45.0,12.0,107424.0,186.126,alonso,14.0,Spanish,ferrari,Italian,2014,19,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,216.0,4.0,0.0,102467.0,101940.0,102866.0,43,33,"Clear skies; Air temp: 30 °C (86 °F) during the day, dropping to 24 °C (75.2 °F). Wind speed: 8 km/h (4.9 mph).[2] (Night race)",1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,101940.0,102866.0,102424.33333333331,25,8,166,2,1,1,4,2,6,1,0,1,0,0,0,0,0,0,0,0,0,165.0,89.0,83.0,87.0,85.0 +77.0,3,3,30.0,55,5971499.0,54.0,6.0,105727.0,189.113,bottas,77.0,Finnish,williams,British,2014,19,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,320.0,3.0,0.0,102346.0,101376.0,101025.0,35,25,"Clear skies; Air temp: 30 °C (86 °F) during the day, dropping to 24 °C (75.2 °F). Wind speed: 8 km/h (4.9 mph).[2] (Night race)",1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,101025.0,102346.0,101582.33333333331,24,1,38,5,2,3,1,3,1,2,3,0,1,1,0,0,0,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +22.0,6,5,20.0,55,6002953.0,47.0,9.0,106739.0,187.32,button,22.0,British,mclaren,British,2014,19,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,181.0,5.0,0.0,102137.0,101875.0,101964.0,44,34,"Clear skies; Air temp: 30 °C (86 °F) during the day, dropping to 24 °C (75.2 °F). Wind speed: 8 km/h (4.9 mph).[2] (Night race)",1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,101875.0,102137.0,101992.0,26,8,166,1,0,1,4,1,3,0,2,0,1,3,1,0,0,0,0,1,1,165.0,89.0,83.0,87.0,85.0 +8.0,18,13,0.0,54,,35.0,17.0,107897.0,185.31,grosjean,8.0,French,lotus_f1,British,2014,19,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,10.0,8.0,0.0,102768.0,102768.0,102768.0,38,28,"Clear skies; Air temp: 30 °C (86 °F) during the day, dropping to 24 °C (75.2 °F). Wind speed: 8 km/h (4.9 mph).[2] (Night race)",1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,102768.0,102768.0,102768.0,23,5,64,0,0,0,0,0,0,0,2,0,0,2,2,1,1,3,1,2,0,72.0,76.0,76.0,76.0,74.0 +21.0,14,15,0.0,54,,43.0,15.0,107698.0,185.652,gutierrez,21.0,Mexican,sauber,Swiss,2014,19,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,0.0,10.0,0.0,102819.0,102819.0,102819.0,33,23,"Clear skies; Air temp: 30 °C (86 °F) during the day, dropping to 24 °C (75.2 °F). Wind speed: 8 km/h (4.9 mph).[2] (Night race)",1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,102819.0,102819.0,102819.0,22,1,38,0,0,0,0,0,0,0,0,0,0,0,1,1,4,3,2,2,0,72.0,76.0,76.0,76.0,74.0 +44.0,2,1,50.0,55,5942619.0,49.0,4.0,105599.0,189.342,hamilton,44.0,British,mercedes,German,2014,19,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,10.0,701.0,1.0,16.0,101207.0,100920.0,100866.0,39,29,"Clear skies; Air temp: 30 °C (86 °F) during the day, dropping to 24 °C (75.2 °F). Wind speed: 8 km/h (4.9 mph).[2] (Night race)",1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,100866.0,101207.0,100997.66666666669,22,7,148,15,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,148.0,87.0,77.0,83.0,82.0 +27.0,12,6,16.0,55,6004767.0,47.0,7.0,105777.0,189.024,hulkenberg,27.0,German,force_india,Indian,2014,19,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,155.0,6.0,0.0,102444.0,102384.0,102384.0,37,27,"Clear skies; Air temp: 30 °C (86 °F) during the day, dropping to 24 °C (75.2 °F). Wind speed: 8 km/h (4.9 mph).[2] (Night race)",1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,102384.0,102444.0,102404.0,23,4,77,0,0,0,0,4,2,1,3,2,2,0,2,0,0,0,1,0,0,74.0,75.0,75.0,72.0,71.0 +20.0,9,11,0.0,55,6032995.0,37.0,10.0,106824.0,187.171,kevin_magnussen,20.0,Danish,mclaren,British,2014,19,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,181.0,5.0,0.0,102104.0,102198.0,102198.0,32,22,"Clear skies; Air temp: 30 °C (86 °F) during the day, dropping to 24 °C (75.2 °F). Wind speed: 8 km/h (4.9 mph).[2] (Night race)",1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,102104.0,102198.0,102166.66666666669,22,0,19,1,1,0,0,1,0,2,1,4,3,0,3,1,1,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +19.0,4,2,36.0,55,5945195.0,47.0,2.0,104826.0,190.738,massa,19.0,Brazilian,williams,British,2014,19,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,320.0,3.0,0.0,101475.0,101144.0,101119.0,43,33,"Clear skies; Air temp: 30 °C (86 °F) during the day, dropping to 24 °C (75.2 °F). Wind speed: 8 km/h (4.9 mph).[2] (Night race)",1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,101119.0,101475.0,101246.0,25,8,159,2,0,2,2,2,0,4,0,0,0,1,1,2,0,1,0,0,0,158.0,89.0,81.0,86.0,84.0 +11.0,11,7,12.0,55,6013679.0,49.0,8.0,105808.0,188.968,perez,11.0,Mexican,force_india,Indian,2014,19,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,155.0,6.0,0.0,102654.0,102239.0,102239.0,34,24,"Clear skies; Air temp: 30 °C (86 °F) during the day, dropping to 24 °C (75.2 °F). Wind speed: 8 km/h (4.9 mph).[2] (Night race)",1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,102239.0,102654.0,102377.33333333331,21,3,76,1,0,1,0,0,1,2,1,2,4,2,0,0,0,1,0,1,0,74.0,75.0,75.0,72.0,71.0 +7.0,7,10,2.0,55,6030439.0,46.0,16.0,107736.0,185.586,raikkonen,7.0,Finnish,ferrari,Italian,2014,19,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,216.0,4.0,0.0,102439.0,102168.0,102236.0,45,35,"Clear skies; Air temp: 30 °C (86 °F) during the day, dropping to 24 °C (75.2 °F). Wind speed: 8 km/h (4.9 mph).[2] (Night race)",1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,102168.0,102439.0,102281.0,27,8,126,0,0,0,1,0,1,3,2,2,3,1,3,1,0,0,0,0,0,130.0,89.0,85.0,82.0,82.0 +3.0,20,4,24.0,55,5979856.0,50.0,1.0,104496.0,191.341,ricciardo,3.0,Australian,red_bull,Austrian,2014,19,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,3.0,405.0,2.0,3.0,105095.0,105095.0,105095.0,35,25,"Clear skies; Air temp: 30 °C (86 °F) during the day, dropping to 24 °C (75.2 °F). Wind speed: 8 km/h (4.9 mph).[2] (Night race)",1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,105095.0,105095.0,105095.0,22,3,69,8,0,5,3,1,1,1,1,0,0,0,0,0,0,0,1,0,1,72.0,76.0,76.0,76.0,74.0 +6.0,1,14,0.0,54,,17.0,11.0,106869.0,187.092,rosberg,6.0,German,mercedes,German,2014,19,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,5.0,701.0,1.0,16.0,101308.0,101459.0,100480.0,39,29,"Clear skies; Air temp: 30 °C (86 °F) during the day, dropping to 24 °C (75.2 °F). Wind speed: 8 km/h (4.9 mph).[2] (Night race)",1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,100480.0,101459.0,101082.33333333331,21,8,166,15,10,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,165.0,89.0,83.0,87.0,85.0 +46.0,17,17,0.0,54,,47.0,18.0,108398.0,184.453,stevens,28.0,British,caterham,Malaysian,2014,19,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,0.0,11.0,0.0,105095.0,105095.0,105095.0,33,23,"Clear skies; Air temp: 30 °C (86 °F) during the day, dropping to 24 °C (75.2 °F). Wind speed: 8 km/h (4.9 mph).[2] (Night race)",1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,105095.0,105095.0,105095.0,23,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +99.0,13,16,0.0,54,,44.0,14.0,107508.0,185.98,sutil,99.0,German,sauber,Swiss,2014,19,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,0.0,10.0,0.0,102746.0,103074.0,103074.0,41,31,"Clear skies; Air temp: 30 °C (86 °F) during the day, dropping to 24 °C (75.2 °F). Wind speed: 8 km/h (4.9 mph).[2] (Night race)",1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,102746.0,103074.0,102964.66666666669,24,7,128,0,0,0,0,0,0,0,0,0,0,2,0,3,1,1,2,1,3,133.0,90.0,90.0,81.0,84.0 +25.0,10,12,0.0,55,6034566.0,50.0,5.0,105686.0,189.186,vergne,25.0,French,toro_rosso,Italian,2014,19,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,30.0,7.0,0.0,102413.0,102207.0,102207.0,34,24,"Clear skies; Air temp: 30 °C (86 °F) during the day, dropping to 24 °C (75.2 °F). Wind speed: 8 km/h (4.9 mph).[2] (Night race)",1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,102207.0,102413.0,102275.66666666669,22,2,58,0,0,0,0,0,1,0,2,2,2,1,1,4,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +1.0,19,8,8.0,55,6014664.0,51.0,3.0,105552.0,189.427,vettel,5.0,German,red_bull,Austrian,2014,19,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,405.0,2.0,3.0,105095.0,105095.0,105095.0,37,27,"Clear skies; Air temp: 30 °C (86 °F) during the day, dropping to 24 °C (75.2 °F). Wind speed: 8 km/h (4.9 mph).[2] (Night race)",1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,105095.0,105095.0,105095.0,20,7,139,4,1,3,2,4,2,2,1,0,0,0,0,0,0,0,0,0,1,137.0,87.0,90.0,80.0,83.0 +22.0,16,11,0.0,56,,56.0,12.0,93338.0,204.534,button,22.0,British,mclaren,British,2015,1,Australian Grand Prix,18000000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+2 Laps,0.0,0.0,8.0,0.0,91422.0,91422.0,91422.0,44,35,Partly cloudy17–18 °C (63–64 °F) air temperature32–37 °C (90–99 °F) track temperature6 m/s (20 ft/s) wind from the south[3],0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,91422.0,91422.0,91422.0,26,9,167,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,165.0,89.0,83.0,87.0,85.0 +9.0,15,8,4.0,57,,51.0,5.0,91560.0,208.505,ericsson,9.0,Swedish,sauber,Swiss,2015,1,Australian Grand Prix,18000000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+1 Lap,0.0,14.0,3.0,0.0,91376.0,91376.0,91376.0,34,25,Partly cloudy17–18 °C (63–64 °F) air temperature32–37 °C (90–99 °F) track temperature6 m/s (20 ft/s) wind from the south[3],0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,91376.0,91376.0,91376.0,24,1,17,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +44.0,1,1,25.0,58,5514067.0,50.0,1.0,90945.0,209.915,hamilton,44.0,British,mercedes,German,2015,1,Australian Grand Prix,18000000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,43.0,1.0,1.0,88586.0,86894.0,86327.0,39,30,Partly cloudy17–18 °C (63–64 °F) air temperature32–37 °C (90–99 °F) track temperature6 m/s (20 ft/s) wind from the south[3],0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,86327.0,88586.0,87269.0,22,8,149,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,148.0,87.0,77.0,83.0,82.0 +27.0,13,7,6.0,57,,48.0,8.0,91970.0,207.576,hulkenberg,27.0,German,force_india,Indian,2015,1,Australian Grand Prix,18000000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+1 Lap,0.0,7.0,6.0,0.0,89651.0,89208.0,89208.0,37,28,Partly cloudy17–18 °C (63–64 °F) air temperature32–37 °C (90–99 °F) track temperature6 m/s (20 ft/s) wind from the south[3],0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,89208.0,89651.0,89355.66666666667,23,5,78,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +19.0,3,4,12.0,58,5552263.0,50.0,6.0,91719.0,208.144,massa,19.0,Brazilian,williams,British,2015,1,Australian Grand Prix,18000000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,12.0,4.0,0.0,89246.0,87895.0,87718.0,43,34,Partly cloudy17–18 °C (63–64 °F) air temperature32–37 °C (90–99 °F) track temperature6 m/s (20 ft/s) wind from the south[3],0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,87718.0,89246.0,88286.33333333333,25,9,160,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,158.0,89.0,81.0,86.0,84.0 +12.0,10,5,10.0,58,5609216.0,46.0,9.0,92612.0,206.137,nasr,12.0,Brazilian,sauber,Swiss,2015,1,Australian Grand Prix,18000000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,14.0,3.0,0.0,90430.0,88800.0,88800.0,32,23,Partly cloudy17–18 °C (63–64 °F) air temperature32–37 °C (90–99 °F) track temperature6 m/s (20 ft/s) wind from the south[3],0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,88800.0,90430.0,89343.33333333333,23,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,14,10,1.0,57,,46.0,7.0,91959.0,207.601,perez,11.0,Mexican,force_india,Indian,2015,1,Australian Grand Prix,18000000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+1 Lap,0.0,7.0,6.0,0.0,89990.0,89209.0,89209.0,34,25,Partly cloudy17–18 °C (63–64 °F) air temperature32–37 °C (90–99 °F) track temperature6 m/s (20 ft/s) wind from the south[3],0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,89209.0,89990.0,89469.33333333333,21,4,77,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +3.0,6,6,8.0,57,,46.0,10.0,92797.0,205.726,ricciardo,3.0,Australian,red_bull,Austrian,2015,1,Australian Grand Prix,18000000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+1 Lap,0.0,8.0,5.0,0.0,89788.0,88679.0,88329.0,35,26,Partly cloudy17–18 °C (63–64 °F) air temperature32–37 °C (90–99 °F) track temperature6 m/s (20 ft/s) wind from the south[3],0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,88329.0,89788.0,88932.0,22,4,70,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +6.0,2,2,18.0,58,5515427.0,47.0,2.0,91092.0,209.577,rosberg,6.0,German,mercedes,German,2015,1,Australian Grand Prix,18000000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,43.0,1.0,1.0,88906.0,87097.0,86921.0,39,30,Partly cloudy17–18 °C (63–64 °F) air temperature32–37 °C (90–99 °F) track temperature6 m/s (20 ft/s) wind from the south[3],0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,86921.0,88906.0,87641.33333333333,21,9,167,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,165.0,89.0,83.0,87.0,85.0 +55.0,7,9,2.0,57,,49.0,11.0,92872.0,205.56,sainz,55.0,Spanish,toro_rosso,Italian,2015,1,Australian Grand Prix,18000000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+1 Lap,0.0,2.0,7.0,0.0,89597.0,88601.0,88510.0,30,21,Partly cloudy17–18 °C (63–64 °F) air temperature32–37 °C (90–99 °F) track temperature6 m/s (20 ft/s) wind from the south[3],0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,88510.0,89597.0,88902.66666666667,21,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +5.0,4,3,15.0,58,5548590.0,52.0,4.0,91457.0,208.74,vettel,5.0,German,ferrari,Italian,2015,1,Australian Grand Prix,18000000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,15.0,2.0,0.0,89307.0,87742.0,87757.0,37,28,Partly cloudy17–18 °C (63–64 °F) air temperature32–37 °C (90–99 °F) track temperature6 m/s (20 ft/s) wind from the south[3],0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,87742.0,89307.0,88268.66666666667,20,8,140,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,139.0,90.0,87.0,80.0,83.0 +77.0,8,5,10.0,56,6136202.0,42.0,6.0,104088.0,191.71,bottas,77.0,Finnish,williams,British,2015,2,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,30.0,3.0,0.0,100249.0,100650.0,113179.0,35,26,Sunny32–33 °C (90–91 °F) air temperature53–58 °C (127–136 °F) track temperature2 m/s (6.6 ft/s) wind from the south[3],1,0,0,0,0,Race circuit,Clockwise,5.543,56.0,310.408,100249.0,113179.0,104692.66666666669,24,2,40,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,72.0,76.0,76.0,76.0,74.0 +8.0,10,11,0.0,55,,36.0,10.0,104812.0,190.386,grosjean,8.0,French,lotus_f1,British,2015,2,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+1 Lap,0.0,0.0,8.0,0.0,100303.0,101209.0,112981.0,38,29,Sunny32–33 °C (90–91 °F) air temperature53–58 °C (127–136 °F) track temperature2 m/s (6.6 ft/s) wind from the south[3],1,0,0,0,0,Race circuit,Clockwise,5.543,56.0,310.408,100303.0,112981.0,104831.0,23,6,66,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +44.0,1,2,18.0,56,6074362.0,45.0,2.0,103125.0,193.501,hamilton,44.0,British,mercedes,German,2015,2,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,1.0,76.0,1.0,1.0,99269.0,101517.0,109834.0,39,30,Sunny32–33 °C (90–91 °F) air temperature53–58 °C (127–136 °F) track temperature2 m/s (6.6 ft/s) wind from the south[3],1,0,0,0,0,Race circuit,Clockwise,5.543,56.0,310.408,99269.0,109834.0,103540.0,22,8,150,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,152.0,88.0,78.0,87.0,84.0 +27.0,13,14,0.0,55,,46.0,11.0,104822.0,190.368,hulkenberg,27.0,German,force_india,Indian,2015,2,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+1 Lap,0.0,7.0,7.0,0.0,100830.0,103023.0,103023.0,37,28,Sunny32–33 °C (90–91 °F) air temperature53–58 °C (127–136 °F) track temperature2 m/s (6.6 ft/s) wind from the south[3],1,0,0,0,0,Race circuit,Clockwise,5.543,56.0,310.408,100830.0,103023.0,102292.0,23,5,79,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +26.0,5,9,2.0,55,,41.0,8.0,104514.0,190.929,kvyat,26.0,Russian,red_bull,Austrian,2015,2,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+1 Lap,0.0,11.0,6.0,0.0,100546.0,101665.0,111951.0,30,21,Sunny32–33 °C (90–91 °F) air temperature53–58 °C (127–136 °F) track temperature2 m/s (6.6 ft/s) wind from the south[3],1,0,0,0,0,Race circuit,Clockwise,5.543,56.0,310.408,100546.0,111951.0,104720.66666666669,20,1,21,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +19.0,7,6,8.0,56,6139379.0,40.0,5.0,103990.0,191.891,massa,19.0,Brazilian,williams,British,2015,2,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,30.0,3.0,0.0,100543.0,101230.0,112473.0,43,34,Sunny32–33 °C (90–91 °F) air temperature53–58 °C (127–136 °F) track temperature2 m/s (6.6 ft/s) wind from the south[3],1,0,0,0,0,Race circuit,Clockwise,5.543,56.0,310.408,100543.0,112473.0,104748.66666666669,25,9,161,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,158.0,89.0,81.0,86.0,84.0 +33.0,6,7,6.0,56,6163555.0,42.0,9.0,104579.0,190.81,max_verstappen,33.0,Dutch,toro_rosso,Italian,2015,2,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,12.0,5.0,0.0,100793.0,101430.0,111981.0,27,18,Sunny32–33 °C (90–91 °F) air temperature53–58 °C (127–136 °F) track temperature2 m/s (6.6 ft/s) wind from the south[3],1,0,0,0,0,Race circuit,Clockwise,5.543,56.0,310.408,100793.0,111981.0,104734.66666666669,18,0,2,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +98.0,19,15,0.0,53,,44.0,19.0,109040.0,183.004,merhi,98.0,Spanish,manor,British,2015,2,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+3 Laps,0.0,0.0,10.0,0.0,106677.0,106677.0,106677.0,33,24,Sunny32–33 °C (90–91 °F) air temperature53–58 °C (127–136 °F) track temperature2 m/s (6.6 ft/s) wind from the south[3],1,0,0,0,0,Race circuit,Clockwise,5.543,56.0,310.408,106677.0,106677.0,106677.0,24,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +12.0,16,12,0.0,55,,45.0,4.0,103902.0,192.054,nasr,12.0,Brazilian,sauber,Swiss,2015,2,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+1 Lap,0.0,14.0,4.0,0.0,101308.0,101308.0,101308.0,32,23,Sunny32–33 °C (90–91 °F) air temperature53–58 °C (127–136 °F) track temperature2 m/s (6.6 ft/s) wind from the south[3],1,0,0,0,0,Race circuit,Clockwise,5.543,56.0,310.408,101308.0,101308.0,101308.0,23,0,2,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,14,13,0.0,55,,37.0,14.0,105345.0,189.423,perez,11.0,Mexican,force_india,Indian,2015,2,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+1 Lap,0.0,7.0,7.0,0.0,101036.0,103469.0,103469.0,34,25,Sunny32–33 °C (90–91 °F) air temperature53–58 °C (127–136 °F) track temperature2 m/s (6.6 ft/s) wind from the south[3],1,0,0,0,0,Race circuit,Clockwise,5.543,56.0,310.408,101036.0,103469.0,102658.0,21,4,78,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +7.0,11,4,12.0,56,6119615.0,40.0,7.0,104124.0,191.644,raikkonen,7.0,Finnish,ferrari,Italian,2015,2,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,52.0,2.0,1.0,100415.0,102173.0,102173.0,45,36,Sunny32–33 °C (90–91 °F) air temperature53–58 °C (127–136 °F) track temperature2 m/s (6.6 ft/s) wind from the south[3],1,0,0,0,0,Race circuit,Clockwise,5.543,56.0,310.408,100415.0,102173.0,101587.0,27,9,128,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,133.0,90.0,90.0,81.0,84.0 +3.0,4,10,1.0,55,,42.0,13.0,105312.0,189.482,ricciardo,3.0,Australian,red_bull,Austrian,2015,2,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+1 Lap,0.0,11.0,6.0,0.0,100504.0,101085.0,111541.0,35,26,Sunny32–33 °C (90–91 °F) air temperature53–58 °C (127–136 °F) track temperature2 m/s (6.6 ft/s) wind from the south[3],1,0,0,0,0,Race circuit,Clockwise,5.543,56.0,310.408,100504.0,111541.0,104376.66666666669,22,4,71,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +6.0,3,3,15.0,56,6078103.0,43.0,1.0,102062.0,195.516,rosberg,6.0,German,mercedes,German,2015,2,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,76.0,1.0,1.0,99374.0,99377.0,110299.0,39,30,Sunny32–33 °C (90–91 °F) air temperature53–58 °C (127–136 °F) track temperature2 m/s (6.6 ft/s) wind from the south[3],1,0,0,0,0,Race circuit,Clockwise,5.543,56.0,310.408,99374.0,110299.0,103016.66666666669,21,9,168,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,165.0,89.0,83.0,87.0,85.0 +55.0,15,8,4.0,55,,37.0,15.0,105507.0,189.132,sainz,55.0,Spanish,toro_rosso,Italian,2015,2,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+1 Lap,0.0,12.0,5.0,0.0,99814.0,103701.0,103701.0,30,21,Sunny32–33 °C (90–91 °F) air temperature53–58 °C (127–136 °F) track temperature2 m/s (6.6 ft/s) wind from the south[3],1,0,0,0,0,Race circuit,Clockwise,5.543,56.0,310.408,99814.0,103701.0,102405.33333333331,21,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +5.0,2,1,25.0,56,6065793.0,46.0,3.0,103648.0,193.501,vettel,5.0,German,ferrari,Italian,2015,2,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,52.0,2.0,1.0,99814.0,99632.0,109908.0,37,28,Sunny32–33 °C (90–91 °F) air temperature53–58 °C (127–136 °F) track temperature2 m/s (6.6 ft/s) wind from the south[3],1,0,0,0,0,Race circuit,Clockwise,5.543,56.0,310.408,99632.0,109908.0,103118.0,20,8,141,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,141.0,89.0,85.0,83.0,83.0 +14.0,18,12,0.0,55,,40.0,13.0,103728.0,189.183,alonso,14.0,Spanish,mclaren,British,2015,3,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+1 Lap,0.0,0.0,9.0,0.0,99280.0,99280.0,99280.0,43,34,Sunny21 °C (70 °F) air temperature46 °C (115 °F) track temperature1.4 m/s (4.6 ft/s) wind from the northwest[1],1,0,0,0,0,Race circuit,Clockwise,5.451,56.0,305.066,99280.0,99280.0,99280.0,25,9,168,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,165.0,89.0,83.0,87.0,85.0 +77.0,5,6,8.0,56,5991893.0,37.0,7.0,103051.0,190.426,bottas,77.0,Finnish,williams,British,2015,3,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,48.0,3.0,0.0,98014.0,97763.0,97143.0,35,26,Sunny21 °C (70 °F) air temperature46 °C (115 °F) track temperature1.4 m/s (4.6 ft/s) wind from the northwest[1],1,0,0,0,0,Race circuit,Clockwise,5.451,56.0,305.066,97143.0,98014.0,97640.0,24,2,41,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,72.0,76.0,76.0,76.0,74.0 +22.0,17,14,0.0,55,,21.0,16.0,104991.0,186.907,button,22.0,British,mclaren,British,2015,3,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+1 Lap,0.0,0.0,9.0,0.0,99276.0,99276.0,99276.0,44,35,Sunny21 °C (70 °F) air temperature46 °C (115 °F) track temperature1.4 m/s (4.6 ft/s) wind from the northwest[1],1,0,0,0,0,Race circuit,Clockwise,5.451,56.0,305.066,99276.0,99276.0,99276.0,26,9,169,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,176.0,88.0,87.0,89.0,87.0 +9.0,10,10,1.0,55,,32.0,15.0,104204.0,188.319,ericsson,9.0,Swedish,sauber,Swiss,2015,3,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+1 Lap,0.0,19.0,4.0,0.0,98941.0,98127.0,98158.0,34,25,Sunny21 °C (70 °F) air temperature46 °C (115 °F) track temperature1.4 m/s (4.6 ft/s) wind from the northwest[1],1,0,0,0,0,Race circuit,Clockwise,5.451,56.0,305.066,98127.0,98941.0,98408.66666666669,24,1,19,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,8,7,6.0,56,6001016.0,34.0,8.0,103134.0,190.272,grosjean,8.0,French,lotus_f1,British,2015,3,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,6.0,8.0,0.0,98209.0,98063.0,97905.0,38,29,Sunny21 °C (70 °F) air temperature46 °C (115 °F) track temperature1.4 m/s (4.6 ft/s) wind from the northwest[1],1,0,0,0,0,Race circuit,Clockwise,5.451,56.0,305.066,97905.0,98209.0,98059.0,23,6,67,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +44.0,1,1,25.0,56,5982008.0,31.0,1.0,102208.0,191.996,hamilton,44.0,British,mercedes,German,2015,3,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,1.0,119.0,1.0,2.0,98285.0,96423.0,95782.0,39,30,Sunny21 °C (70 °F) air temperature46 °C (115 °F) track temperature1.4 m/s (4.6 ft/s) wind from the northwest[1],1,0,0,0,0,Race circuit,Clockwise,5.451,56.0,305.066,95782.0,98285.0,96830.0,22,8,151,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,152.0,88.0,78.0,87.0,84.0 +19.0,4,5,10.0,56,5990552.0,37.0,4.0,102734.0,191.013,massa,19.0,Brazilian,williams,British,2015,3,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,48.0,3.0,0.0,98433.0,97357.0,96954.0,43,34,Sunny21 °C (70 °F) air temperature46 °C (115 °F) track temperature1.4 m/s (4.6 ft/s) wind from the northwest[1],1,0,0,0,0,Race circuit,Clockwise,5.451,56.0,305.066,96954.0,98433.0,97581.33333333331,25,9,162,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,158.0,89.0,81.0,86.0,84.0 +98.0,20,16,0.0,54,,43.0,19.0,105963.0,185.192,merhi,98.0,Spanish,manor,British,2015,3,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+2 Laps,0.0,0.0,10.0,0.0,102842.0,102842.0,102842.0,33,24,Sunny21 °C (70 °F) air temperature46 °C (115 °F) track temperature1.4 m/s (4.6 ft/s) wind from the northwest[1],1,0,0,0,0,Race circuit,Clockwise,5.451,56.0,305.066,102842.0,102842.0,102842.0,24,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +12.0,9,8,4.0,56,6004633.0,46.0,12.0,103692.0,189.248,nasr,12.0,Brazilian,sauber,Swiss,2015,3,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,19.0,4.0,0.0,98521.0,98017.0,98067.0,32,23,Sunny21 °C (70 °F) air temperature46 °C (115 °F) track temperature1.4 m/s (4.6 ft/s) wind from the northwest[1],1,0,0,0,0,Race circuit,Clockwise,5.451,56.0,305.066,98017.0,98521.0,98201.66666666669,23,0,3,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,15,11,0.0,55,,44.0,10.0,103512.0,189.578,perez,11.0,Mexican,force_india,Indian,2015,3,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+1 Lap,0.0,7.0,7.0,0.0,98903.0,99290.0,99290.0,34,25,Sunny21 °C (70 °F) air temperature46 °C (115 °F) track temperature1.4 m/s (4.6 ft/s) wind from the northwest[1],1,0,0,0,0,Race circuit,Clockwise,5.451,56.0,305.066,98903.0,99290.0,99161.0,21,4,79,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +7.0,6,4,12.0,56,5985843.0,48.0,6.0,103026.0,190.472,raikkonen,7.0,Finnish,ferrari,Italian,2015,3,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,79.0,2.0,1.0,97790.0,97109.0,97232.0,45,36,Sunny21 °C (70 °F) air temperature46 °C (115 °F) track temperature1.4 m/s (4.6 ft/s) wind from the northwest[1],1,0,0,0,0,Race circuit,Clockwise,5.451,56.0,305.066,97109.0,97790.0,97377.0,27,9,129,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,133.0,90.0,90.0,81.0,84.0 +3.0,7,9,2.0,56,6014125.0,46.0,9.0,103245.0,190.068,ricciardo,3.0,Australian,red_bull,Austrian,2015,3,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,13.0,5.0,0.0,98534.0,97939.0,97540.0,35,26,Sunny21 °C (70 °F) air temperature46 °C (115 °F) track temperature1.4 m/s (4.6 ft/s) wind from the northwest[1],1,0,0,0,0,Race circuit,Clockwise,5.451,56.0,305.066,97540.0,98534.0,98004.33333333331,22,4,72,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +6.0,2,2,18.0,56,5982722.0,39.0,2.0,102565.0,191.328,rosberg,6.0,German,mercedes,German,2015,3,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,119.0,1.0,2.0,98496.0,96747.0,95828.0,39,30,Sunny21 °C (70 °F) air temperature46 °C (115 °F) track temperature1.4 m/s (4.6 ft/s) wind from the northwest[1],1,0,0,0,0,Race circuit,Clockwise,5.451,56.0,305.066,95828.0,98496.0,97023.66666666669,21,9,169,2,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,176.0,88.0,87.0,89.0,87.0 +55.0,14,13,0.0,55,,41.0,3.0,102652.0,191.166,sainz,55.0,Spanish,toro_rosso,Italian,2015,3,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+1 Lap,0.0,12.0,6.0,0.0,98622.0,98538.0,98538.0,30,21,Sunny21 °C (70 °F) air temperature46 °C (115 °F) track temperature1.4 m/s (4.6 ft/s) wind from the northwest[1],1,0,0,0,0,Race circuit,Clockwise,5.451,56.0,305.066,98538.0,98622.0,98566.0,21,0,3,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +28.0,19,15,0.0,54,,40.0,17.0,105414.0,186.157,stevens,28.0,British,manor,British,2015,3,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+2 Laps,0.0,0.0,10.0,0.0,102091.0,102091.0,102091.0,33,24,Sunny21 °C (70 °F) air temperature46 °C (115 °F) track temperature1.4 m/s (4.6 ft/s) wind from the northwest[1],1,0,0,0,0,Race circuit,Clockwise,5.451,56.0,305.066,102091.0,102091.0,102091.0,23,1,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +5.0,3,3,15.0,56,5984996.0,15.0,5.0,103018.0,190.487,vettel,5.0,German,ferrari,Italian,2015,3,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,1.0,79.0,2.0,1.0,97502.0,96957.0,96687.0,37,28,Sunny21 °C (70 °F) air temperature46 °C (115 °F) track temperature1.4 m/s (4.6 ft/s) wind from the northwest[1],1,0,0,0,0,Race circuit,Clockwise,5.451,56.0,305.066,96687.0,97502.0,97048.66666666669,20,8,142,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,141.0,89.0,85.0,83.0,83.0 +14.0,14,11,0.0,56,,38.0,13.0,98992.0,196.815,alonso,14.0,Spanish,mclaren,British,2015,4,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,0.0,9.0,0.0,95205.0,95039.0,95039.0,43,34,"Sunny, clear24–26 °C (75–79 °F) air temperature28–31 °C (82–88 °F) track temperature1.5 m/s (4.9 ft/s) wind from the north[1]",1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,95039.0,95205.0,95094.33333333331,25,9,169,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,176.0,88.0,87.0,89.0,87.0 +77.0,5,4,12.0,57,5748766.0,16.0,6.0,98095.0,198.615,bottas,77.0,Finnish,williams,British,2015,4,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,61.0,3.0,0.0,94161.0,93897.0,93381.0,35,26,"Sunny, clear24–26 °C (75–79 °F) air temperature28–31 °C (82–88 °F) track temperature1.5 m/s (4.9 ft/s) wind from the north[1]",1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,93381.0,94161.0,93813.0,24,2,42,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,72.0,76.0,76.0,76.0,74.0 +9.0,13,14,0.0,56,,27.0,9.0,98422.0,197.955,ericsson,9.0,Swedish,sauber,Swiss,2015,4,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,19.0,5.0,0.0,95438.0,95034.0,95034.0,34,25,"Sunny, clear24–26 °C (75–79 °F) air temperature28–31 °C (82–88 °F) track temperature1.5 m/s (4.9 ft/s) wind from the north[1]",1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,95034.0,95438.0,95168.66666666669,24,1,20,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,10,7,6.0,57,5790572.0,34.0,15.0,99161.0,196.48,grosjean,8.0,French,lotus_f1,British,2015,4,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,12.0,6.0,0.0,95007.0,94123.0,94484.0,38,29,"Sunny, clear24–26 °C (75–79 °F) air temperature28–31 °C (82–88 °F) track temperature1.5 m/s (4.9 ft/s) wind from the north[1]",1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,94123.0,95007.0,94538.0,23,6,68,0,0,0,0,0,0,1,0,0,0,1,0,0,1,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +44.0,1,1,25.0,57,5705809.0,38.0,5.0,97857.0,199.098,hamilton,44.0,British,mercedes,German,2015,4,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,2.0,159.0,1.0,3.0,93928.0,92669.0,92571.0,39,30,"Sunny, clear24–26 °C (75–79 °F) air temperature28–31 °C (82–88 °F) track temperature1.5 m/s (4.9 ft/s) wind from the north[1]",1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,92571.0,93928.0,93056.0,22,8,152,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,152.0,88.0,78.0,87.0,84.0 +27.0,8,13,0.0,56,,40.0,10.0,98653.0,197.492,hulkenberg,27.0,German,force_india,Indian,2015,4,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,11.0,8.0,0.0,95653.0,94613.0,94450.0,37,28,"Sunny, clear24–26 °C (75–79 °F) air temperature28–31 °C (82–88 °F) track temperature1.5 m/s (4.9 ft/s) wind from the north[1]",1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,94450.0,95653.0,94905.33333333331,23,5,81,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,77.0,76.0,76.0,70.0,71.0 +26.0,17,9,2.0,56,,36.0,11.0,98725.0,197.348,kvyat,26.0,Russian,red_bull,Austrian,2015,4,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,23.0,4.0,0.0,95800.0,95800.0,95800.0,30,21,"Sunny, clear24–26 °C (75–79 °F) air temperature28–31 °C (82–88 °F) track temperature1.5 m/s (4.9 ft/s) wind from the north[1]",1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,95800.0,95800.0,95800.0,20,1,23,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +13.0,16,15,0.0,56,,43.0,4.0,97665.0,199.49,maldonado,13.0,Venezuelan,lotus_f1,British,2015,4,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,12.0,6.0,0.0,95677.0,95677.0,95677.0,39,30,"Sunny, clear24–26 °C (75–79 °F) air temperature28–31 °C (82–88 °F) track temperature1.5 m/s (4.9 ft/s) wind from the north[1]",1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,95677.0,95677.0,95677.0,26,4,81,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,1,77.0,76.0,76.0,70.0,71.0 +19.0,6,10,1.0,56,,12.0,14.0,99094.0,196.613,massa,19.0,Brazilian,williams,British,2015,4,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,61.0,3.0,0.0,94488.0,93551.0,93744.0,43,34,"Sunny, clear24–26 °C (75–79 °F) air temperature28–31 °C (82–88 °F) track temperature1.5 m/s (4.9 ft/s) wind from the north[1]",1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,93551.0,94488.0,93927.66666666669,25,9,163,0,0,0,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,158.0,89.0,81.0,86.0,84.0 +98.0,19,17,0.0,54,,36.0,19.0,102033.0,190.949,merhi,98.0,Spanish,manor,British,2015,4,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+3 Laps,0.0,0.0,10.0,0.0,99722.0,99722.0,99722.0,33,24,"Sunny, clear24–26 °C (75–79 °F) air temperature28–31 °C (82–88 °F) track temperature1.5 m/s (4.9 ft/s) wind from the north[1]",1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,99722.0,99722.0,99722.0,24,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,58.0,72.0,78.0,73.0,72.0 +12.0,12,12,0.0,56,,43.0,7.0,98216.0,198.37,nasr,12.0,Brazilian,sauber,Swiss,2015,4,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,19.0,5.0,0.0,95310.0,94737.0,94737.0,32,23,"Sunny, clear24–26 °C (75–79 °F) air temperature28–31 °C (82–88 °F) track temperature1.5 m/s (4.9 ft/s) wind from the north[1]",1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,94737.0,95310.0,94928.0,23,0,4,0,0,0,0,1,0,0,1,0,0,0,1,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,11,8,4.0,56,,39.0,8.0,98338.0,198.124,perez,11.0,Mexican,force_india,Indian,2015,4,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,11.0,8.0,0.0,95451.0,94704.0,94704.0,34,25,"Sunny, clear24–26 °C (75–79 °F) air temperature28–31 °C (82–88 °F) track temperature1.5 m/s (4.9 ft/s) wind from the north[1]",1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,94704.0,95451.0,94953.0,21,4,80,0,0,0,0,0,0,0,0,0,1,1,0,1,0,0,0,0,0,77.0,76.0,76.0,70.0,71.0 +7.0,4,2,18.0,57,5709189.0,42.0,1.0,96311.0,202.294,raikkonen,7.0,Finnish,ferrari,Italian,2015,4,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,107.0,2.0,1.0,94568.0,93540.0,93227.0,45,36,"Sunny, clear24–26 °C (75–79 °F) air temperature28–31 °C (82–88 °F) track temperature1.5 m/s (4.9 ft/s) wind from the north[1]",1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,93227.0,94568.0,93778.33333333331,27,9,130,0,0,0,2,0,0,0,0,0,0,0,1,0,0,0,0,0,0,133.0,90.0,90.0,81.0,84.0 +3.0,7,6,8.0,57,5767560.0,53.0,12.0,98948.0,196.903,ricciardo,3.0,Australian,red_bull,Austrian,2015,4,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,23.0,4.0,0.0,94691.0,94403.0,93832.0,35,26,"Sunny, clear24–26 °C (75–79 °F) air temperature28–31 °C (82–88 °F) track temperature1.5 m/s (4.9 ft/s) wind from the north[1]",1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,93832.0,94691.0,94308.66666666669,22,4,73,0,0,0,0,0,1,0,0,1,1,0,0,0,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +6.0,3,3,15.0,57,5711842.0,36.0,3.0,97326.0,200.184,rosberg,6.0,German,mercedes,German,2015,4,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,159.0,1.0,3.0,94398.0,93878.0,93129.0,39,30,"Sunny, clear24–26 °C (75–79 °F) air temperature28–31 °C (82–88 °F) track temperature1.5 m/s (4.9 ft/s) wind from the north[1]",1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,93129.0,94398.0,93801.66666666669,21,9,170,3,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,176.0,88.0,87.0,89.0,87.0 +28.0,18,16,0.0,55,,36.0,18.0,101759.0,191.464,stevens,28.0,British,manor,British,2015,4,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+2 Laps,0.0,0.0,10.0,0.0,98713.0,98713.0,98713.0,33,24,"Sunny, clear24–26 °C (75–79 °F) air temperature28–31 °C (82–88 °F) track temperature1.5 m/s (4.9 ft/s) wind from the north[1]",1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,98713.0,98713.0,98713.0,23,1,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +5.0,2,5,10.0,57,5749798.0,38.0,2.0,96624.0,201.639,vettel,5.0,German,ferrari,Italian,2015,4,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,1.0,107.0,2.0,1.0,94919.0,93623.0,92982.0,37,28,"Sunny, clear24–26 °C (75–79 °F) air temperature28–31 °C (82–88 °F) track temperature1.5 m/s (4.9 ft/s) wind from the north[1]",1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,92982.0,94919.0,93841.33333333331,20,8,143,3,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,147.0,88.0,80.0,84.0,83.0 +77.0,4,4,12.0,66,6131772.0,44.0,5.0,90711.0,184.74,bottas,77.0,Finnish,williams,British,2015,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,81.0,3.0,0.0,87262.0,86197.0,85694.0,35,26,Sunny25 °C (77 °F) air temperature44 °C (111 °F) track temperature1.8 m/s (5.9 ft/s) wind from the northeast[3],1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,85694.0,87262.0,86384.33333333333,24,2,43,0,0,0,1,1,1,0,0,0,0,0,0,0,0,0,0,0,1,72.0,76.0,76.0,76.0,74.0 +22.0,14,16,0.0,65,,46.0,10.0,91162.0,183.826,button,22.0,British,mclaren,British,2015,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,0.0,9.0,0.0,87813.0,87854.0,87854.0,44,35,Sunny25 °C (77 °F) air temperature44 °C (111 °F) track temperature1.8 m/s (5.9 ft/s) wind from the northeast[3],1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,87813.0,87854.0,87840.33333333333,26,9,171,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,1,0,176.0,88.0,87.0,89.0,87.0 +9.0,16,14,0.0,65,,52.0,16.0,92222.0,181.713,ericsson,9.0,Swedish,sauber,Swiss,2015,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,19.0,5.0,0.0,88112.0,88112.0,88112.0,34,25,Sunny25 °C (77 °F) air temperature44 °C (111 °F) track temperature1.8 m/s (5.9 ft/s) wind from the northeast[3],1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,88112.0,88112.0,88112.0,24,1,21,0,0,0,0,0,0,0,1,0,1,0,0,0,1,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,11,8,4.0,65,,46.0,15.0,91945.0,182.261,grosjean,8.0,French,lotus_f1,British,2015,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,16.0,6.0,0.0,87383.0,87375.0,87375.0,38,29,Sunny25 °C (77 °F) air temperature44 °C (111 °F) track temperature1.8 m/s (5.9 ft/s) wind from the northeast[3],1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,87375.0,87383.0,87377.66666666667,23,6,69,0,0,0,0,0,0,2,0,0,0,1,0,0,1,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +44.0,2,2,18.0,66,6090106.0,54.0,1.0,88270.0,189.849,hamilton,44.0,British,mercedes,German,2015,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,3.0,202.0,1.0,4.0,86382.0,85740.0,84948.0,39,30,Sunny25 °C (77 °F) air temperature44 °C (111 °F) track temperature1.8 m/s (5.9 ft/s) wind from the northeast[3],1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,84948.0,86382.0,85690.0,22,8,153,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,152.0,88.0,78.0,87.0,84.0 +27.0,17,15,0.0,65,,51.0,7.0,90888.0,184.38,hulkenberg,27.0,German,force_india,Indian,2015,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,11.0,8.0,0.0,88365.0,88365.0,88365.0,37,28,Sunny25 °C (77 °F) air temperature44 °C (111 °F) track temperature1.8 m/s (5.9 ft/s) wind from the northeast[3],1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,88365.0,88365.0,88365.0,23,5,82,0,0,0,0,0,0,1,0,0,0,0,0,1,1,0,0,0,0,77.0,76.0,76.0,70.0,71.0 +26.0,8,10,1.0,65,,40.0,11.0,91887.0,182.376,kvyat,26.0,Russian,red_bull,Austrian,2015,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,30.0,4.0,0.0,87833.0,86889.0,86629.0,30,21,Sunny25 °C (77 °F) air temperature44 °C (111 °F) track temperature1.8 m/s (5.9 ft/s) wind from the northeast[3],1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,86629.0,87833.0,87117.0,20,1,24,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +19.0,9,6,8.0,66,6153869.0,51.0,4.0,90374.0,185.429,massa,19.0,Brazilian,williams,British,2015,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,81.0,3.0,0.0,87165.0,86147.0,86757.0,43,34,Sunny25 °C (77 °F) air temperature44 °C (111 °F) track temperature1.8 m/s (5.9 ft/s) wind from the northeast[3],1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,86147.0,87165.0,86689.66666666667,25,9,164,0,0,0,1,1,1,0,0,0,1,0,0,0,0,0,0,0,0,162.0,86.0,81.0,84.0,83.0 +33.0,6,11,0.0,65,,46.0,12.0,91896.0,182.358,max_verstappen,33.0,Dutch,toro_rosso,Italian,2015,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,14.0,7.0,0.0,87393.0,86441.0,86249.0,27,18,Sunny25 °C (77 °F) air temperature44 °C (111 °F) track temperature1.8 m/s (5.9 ft/s) wind from the northeast[3],1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,86249.0,87393.0,86694.33333333333,18,0,5,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,1,1,58.0,72.0,78.0,73.0,72.0 +98.0,20,18,0.0,62,,51.0,20.0,94211.0,177.877,merhi,98.0,Spanish,manor,British,2015,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+4 Laps,0.0,0.0,10.0,0.0,92038.0,92038.0,92038.0,33,24,Sunny25 °C (77 °F) air temperature44 °C (111 °F) track temperature1.8 m/s (5.9 ft/s) wind from the northeast[3],1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,92038.0,92038.0,92038.0,24,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,0,58.0,72.0,78.0,73.0,72.0 +12.0,15,12,0.0,65,,41.0,13.0,91928.0,182.294,nasr,12.0,Brazilian,sauber,Swiss,2015,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,19.0,5.0,0.0,87625.0,88005.0,88005.0,32,23,Sunny25 °C (77 °F) air temperature44 °C (111 °F) track temperature1.8 m/s (5.9 ft/s) wind from the northeast[3],1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,87625.0,88005.0,87878.33333333333,23,0,5,0,0,0,0,1,0,0,1,0,0,0,2,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,18,13,0.0,65,,38.0,14.0,91932.0,182.286,perez,11.0,Mexican,force_india,Indian,2015,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,11.0,8.0,0.0,88442.0,88442.0,88442.0,34,25,Sunny25 °C (77 °F) air temperature44 °C (111 °F) track temperature1.8 m/s (5.9 ft/s) wind from the northeast[3],1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,88442.0,88442.0,88442.0,21,4,81,0,0,0,0,0,0,0,1,0,1,1,0,1,0,0,0,0,0,77.0,76.0,76.0,70.0,71.0 +7.0,7,5,10.0,66,6132557.0,47.0,3.0,89931.0,186.342,raikkonen,7.0,Finnish,ferrari,Italian,2015,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,132.0,2.0,1.0,86637.0,86016.0,86414.0,45,36,Sunny25 °C (77 °F) air temperature44 °C (111 °F) track temperature1.8 m/s (5.9 ft/s) wind from the northeast[3],1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,86016.0,86637.0,86355.66666666667,27,9,131,1,1,0,2,0,0,0,0,0,0,0,1,0,0,0,0,0,0,133.0,90.0,90.0,81.0,84.0 +3.0,10,7,6.0,65,,56.0,8.0,91124.0,183.903,ricciardo,3.0,Australian,red_bull,Austrian,2015,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,30.0,4.0,0.0,87611.0,86692.0,86770.0,35,26,Sunny25 °C (77 °F) air temperature44 °C (111 °F) track temperature1.8 m/s (5.9 ft/s) wind from the northeast[3],1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,86692.0,87611.0,87024.33333333333,22,4,74,0,0,0,0,0,2,0,0,1,1,0,0,0,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +6.0,1,1,25.0,66,6072555.0,53.0,2.0,89109.0,188.061,rosberg,6.0,German,mercedes,German,2015,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,202.0,1.0,4.0,86490.0,85166.0,84681.0,39,30,Sunny25 °C (77 °F) air temperature44 °C (111 °F) track temperature1.8 m/s (5.9 ft/s) wind from the northeast[3],1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,84681.0,86490.0,85445.66666666667,21,9,171,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,176.0,88.0,87.0,89.0,87.0 +55.0,5,9,2.0,65,,62.0,9.0,91156.0,183.838,sainz,55.0,Spanish,toro_rosso,Italian,2015,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,14.0,7.0,0.0,86773.0,86475.0,86136.0,30,21,Sunny25 °C (77 °F) air temperature44 °C (111 °F) track temperature1.8 m/s (5.9 ft/s) wind from the northeast[3],1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,86136.0,86773.0,86461.33333333333,21,0,5,0,0,0,0,0,0,0,1,1,0,0,0,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +28.0,19,17,0.0,63,,49.0,19.0,93655.0,178.933,stevens,28.0,British,manor,British,2015,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+3 Laps,0.0,0.0,10.0,0.0,91200.0,91200.0,91200.0,33,24,Sunny25 °C (77 °F) air temperature44 °C (111 °F) track temperature1.8 m/s (5.9 ft/s) wind from the northeast[3],1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,91200.0,91200.0,91200.0,23,1,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,58.0,72.0,78.0,73.0,72.0 +5.0,3,3,15.0,66,6117897.0,61.0,6.0,90737.0,184.687,vettel,5.0,German,ferrari,Italian,2015,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,1.0,132.0,2.0,1.0,87534.0,86167.0,85458.0,37,28,Sunny25 °C (77 °F) air temperature44 °C (111 °F) track temperature1.8 m/s (5.9 ft/s) wind from the northeast[3],1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,85458.0,87534.0,86386.33333333333,20,8,144,3,0,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,147.0,88.0,80.0,84.0,83.0 +77.0,16,14,0.0,78,6604209.0,74.0,6.0,78944.0,152.173,bottas,77.0,Finnish,williams,British,2015,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,81.0,3.0,0.0,78434.0,78434.0,78434.0,35,26,Partly cloudy18–19 °C (64–66 °F) air temperature31–37 °C (88–99 °F) track temperature1.5 m/s (4.9 ft/s) wind from the west[2],0,0,0,0,1,Street circuit,Clockwise,3.337,78.0,260.286,78434.0,78434.0,78434.0,24,2,44,0,0,0,2,1,1,0,0,0,0,0,0,0,0,0,0,0,1,72.0,76.0,76.0,76.0,74.0 +22.0,10,8,4.0,78,6574483.0,76.0,9.0,79490.0,151.128,button,22.0,British,mclaren,British,2015,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,4.0,9.0,0.0,77492.0,77093.0,77093.0,44,35,Partly cloudy18–19 °C (64–66 °F) air temperature31–37 °C (88–99 °F) track temperature1.5 m/s (4.9 ft/s) wind from the west[2],0,0,0,0,1,Street circuit,Clockwise,3.337,78.0,260.286,77093.0,77492.0,77226.0,26,9,172,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,1,1,0,176.0,88.0,87.0,89.0,87.0 +9.0,17,13,0.0,78,6589579.0,75.0,8.0,79285.0,151.519,ericsson,9.0,Swedish,sauber,Swiss,2015,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,21.0,5.0,0.0,78513.0,78513.0,78513.0,34,25,Partly cloudy18–19 °C (64–66 °F) air temperature31–37 °C (88–99 °F) track temperature1.5 m/s (4.9 ft/s) wind from the west[2],0,0,0,0,1,Street circuit,Clockwise,3.337,78.0,260.286,78513.0,78513.0,78513.0,24,1,22,0,0,0,0,0,0,0,1,0,1,0,0,0,2,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,15,12,0.0,78,6586835.0,40.0,17.0,80483.0,149.263,grosjean,8.0,French,lotus_f1,British,2015,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,16.0,7.0,0.0,77767.0,77007.0,77007.0,38,29,Partly cloudy18–19 °C (64–66 °F) air temperature31–37 °C (88–99 °F) track temperature1.5 m/s (4.9 ft/s) wind from the west[2],0,0,0,0,1,Street circuit,Clockwise,3.337,78.0,260.286,77007.0,77767.0,77260.33333333333,23,6,70,0,0,0,0,0,0,2,1,0,0,1,0,0,1,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +44.0,1,3,15.0,78,6564473.0,42.0,3.0,78676.0,152.692,hamilton,44.0,British,mercedes,German,2015,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,3.0,242.0,1.0,5.0,76588.0,75864.0,75098.0,39,30,Partly cloudy18–19 °C (64–66 °F) air temperature31–37 °C (88–99 °F) track temperature1.5 m/s (4.9 ft/s) wind from the west[2],0,0,0,0,1,Street circuit,Clockwise,3.337,78.0,260.286,75098.0,76588.0,75850.0,22,8,154,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,152.0,88.0,78.0,87.0,84.0 +27.0,11,11,0.0,78,6584652.0,46.0,14.0,79921.0,150.313,hulkenberg,27.0,German,force_india,Indian,2015,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,17.0,6.0,0.0,77552.0,77193.0,77193.0,37,28,Partly cloudy18–19 °C (64–66 °F) air temperature31–37 °C (88–99 °F) track temperature1.5 m/s (4.9 ft/s) wind from the west[2],0,0,0,0,1,Street circuit,Clockwise,3.337,78.0,260.286,77193.0,77552.0,77312.66666666667,23,5,83,0,0,0,0,0,0,1,0,0,0,0,0,1,1,1,0,0,0,77.0,76.0,76.0,70.0,71.0 +26.0,5,4,12.0,78,6570385.0,75.0,7.0,79130.0,151.815,kvyat,26.0,Russian,red_bull,Austrian,2015,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,52.0,4.0,0.0,76845.0,76453.0,76182.0,30,21,Partly cloudy18–19 °C (64–66 °F) air temperature31–37 °C (88–99 °F) track temperature1.5 m/s (4.9 ft/s) wind from the west[2],0,0,0,0,1,Street circuit,Clockwise,3.337,78.0,260.286,76182.0,76845.0,76493.33333333333,20,1,25,0,0,0,0,0,0,0,0,2,1,0,0,0,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +19.0,12,15,0.0,77,,72.0,12.0,79764.0,150.609,massa,19.0,Brazilian,williams,British,2015,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,81.0,3.0,0.0,77679.0,77278.0,77278.0,43,34,Partly cloudy18–19 °C (64–66 °F) air temperature31–37 °C (88–99 °F) track temperature1.5 m/s (4.9 ft/s) wind from the west[2],0,0,0,0,1,Street circuit,Clockwise,3.337,78.0,260.286,77278.0,77679.0,77411.66666666667,25,9,165,0,0,0,1,1,2,0,0,0,1,0,0,0,0,0,0,0,0,162.0,86.0,81.0,84.0,83.0 +98.0,19,16,0.0,76,,47.0,18.0,81715.0,147.013,merhi,98.0,Spanish,manor,British,2015,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+2 Laps,0.0,0.0,10.0,0.0,80904.0,80904.0,80904.0,33,24,Partly cloudy18–19 °C (64–66 °F) air temperature31–37 °C (88–99 °F) track temperature1.5 m/s (4.9 ft/s) wind from the west[2],0,0,0,0,1,Street circuit,Clockwise,3.337,78.0,260.286,80904.0,80904.0,80904.0,24,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,58.0,72.0,78.0,73.0,72.0 +12.0,14,9,2.0,78,6582046.0,76.0,15.0,80017.0,150.133,nasr,12.0,Brazilian,sauber,Swiss,2015,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,21.0,5.0,0.0,78101.0,78101.0,78101.0,32,23,Partly cloudy18–19 °C (64–66 °F) air temperature31–37 °C (88–99 °F) track temperature1.5 m/s (4.9 ft/s) wind from the west[2],0,0,0,0,1,Street circuit,Clockwise,3.337,78.0,260.286,78101.0,78101.0,78101.0,23,0,6,0,0,0,0,1,0,0,1,0,0,0,3,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,7,7,6.0,78,6573433.0,74.0,11.0,79657.0,150.811,perez,11.0,Mexican,force_india,Indian,2015,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,17.0,6.0,0.0,77376.0,76999.0,76808.0,34,25,Partly cloudy18–19 °C (64–66 °F) air temperature31–37 °C (88–99 °F) track temperature1.5 m/s (4.9 ft/s) wind from the west[2],0,0,0,0,1,Street circuit,Clockwise,3.337,78.0,260.286,76808.0,77376.0,77061.0,21,4,82,0,0,0,0,0,0,0,1,0,1,1,0,2,0,0,0,0,0,77.0,76.0,76.0,70.0,71.0 +7.0,6,6,8.0,78,6572765.0,74.0,10.0,79651.0,150.822,raikkonen,7.0,Finnish,ferrari,Italian,2015,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,158.0,2.0,1.0,77660.0,76440.0,76427.0,45,36,Partly cloudy18–19 °C (64–66 °F) air temperature31–37 °C (88–99 °F) track temperature1.5 m/s (4.9 ft/s) wind from the west[2],0,0,0,0,1,Street circuit,Clockwise,3.337,78.0,260.286,76427.0,77660.0,76842.33333333333,27,9,132,1,1,0,2,1,0,0,0,0,0,0,1,0,0,0,0,0,0,133.0,90.0,90.0,81.0,84.0 +3.0,4,5,10.0,78,6572028.0,74.0,1.0,78063.0,153.891,ricciardo,3.0,Australian,red_bull,Austrian,2015,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,52.0,4.0,0.0,77254.0,76706.0,76041.0,35,26,Partly cloudy18–19 °C (64–66 °F) air temperature31–37 °C (88–99 °F) track temperature1.5 m/s (4.9 ft/s) wind from the west[2],0,0,0,0,1,Street circuit,Clockwise,3.337,78.0,260.286,76041.0,77254.0,76667.0,22,4,75,0,0,0,0,0,2,1,0,1,1,0,0,0,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +6.0,2,1,25.0,78,6558420.0,76.0,2.0,78599.0,152.841,rosberg,6.0,German,mercedes,German,2015,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,1.0,242.0,1.0,5.0,76528.0,75471.0,75440.0,39,30,Partly cloudy18–19 °C (64–66 °F) air temperature31–37 °C (88–99 °F) track temperature1.5 m/s (4.9 ft/s) wind from the west[2],0,0,0,0,1,Street circuit,Clockwise,3.337,78.0,260.286,75440.0,76528.0,75813.0,21,9,172,5,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,176.0,88.0,87.0,89.0,87.0 +55.0,20,10,1.0,78,6583476.0,48.0,13.0,79816.0,150.511,sainz,55.0,Spanish,toro_rosso,Italian,2015,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,15.0,8.0,0.0,77246.0,76762.0,76931.0,30,21,Partly cloudy18–19 °C (64–66 °F) air temperature31–37 °C (88–99 °F) track temperature1.5 m/s (4.9 ft/s) wind from the west[2],0,0,0,0,1,Street circuit,Clockwise,3.337,78.0,260.286,76762.0,77246.0,76979.66666666667,21,0,6,0,0,0,0,0,0,0,1,2,0,0,0,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +28.0,18,17,0.0,76,,58.0,20.0,82693.0,145.274,stevens,28.0,British,manor,British,2015,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+2 Laps,0.0,0.0,10.0,0.0,80655.0,80655.0,80655.0,33,24,Partly cloudy18–19 °C (64–66 °F) air temperature31–37 °C (88–99 °F) track temperature1.5 m/s (4.9 ft/s) wind from the west[2],0,0,0,0,1,Street circuit,Clockwise,3.337,78.0,260.286,80655.0,80655.0,80655.0,23,1,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,0,58.0,72.0,78.0,73.0,72.0 +5.0,3,2,18.0,78,6562906.0,75.0,4.0,78854.0,152.347,vettel,5.0,German,ferrari,Italian,2015,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,1.0,158.0,2.0,1.0,77502.0,76181.0,75849.0,37,28,Partly cloudy18–19 °C (64–66 °F) air temperature31–37 °C (88–99 °F) track temperature1.5 m/s (4.9 ft/s) wind from the west[2],0,0,0,0,1,Street circuit,Clockwise,3.337,78.0,260.286,75849.0,77502.0,76510.66666666667,20,8,145,4,0,3,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,147.0,88.0,80.0,84.0,83.0 +77.0,4,3,15.0,70,5553811.0,67.0,6.0,77922.0,201.478,bottas,77.0,Finnish,williams,British,2015,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,104.0,3.0,0.0,76552.0,75506.0,75102.0,35,26,Sunny20–21 °C (68–70 °F) air temperature39 °C (102 °F) track temperature4 m/s (13 ft/s) wind from the north[2],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,75102.0,76552.0,75720.0,24,2,45,0,0,0,2,1,1,0,0,0,0,0,0,0,1,0,0,0,1,72.0,76.0,76.0,76.0,74.0 +9.0,12,14,0.0,69,,58.0,15.0,78890.0,199.006,ericsson,9.0,Swedish,sauber,Swiss,2015,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,21.0,6.0,0.0,76796.0,76262.0,76262.0,34,25,Sunny20–21 °C (68–70 °F) air temperature39 °C (102 °F) track temperature4 m/s (13 ft/s) wind from the north[2],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,76262.0,76796.0,76440.0,24,1,23,0,0,0,0,0,0,0,1,0,1,0,0,1,2,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,5,10,1.0,69,,51.0,7.0,77969.0,201.356,grosjean,8.0,French,lotus_f1,British,2015,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,23.0,5.0,0.0,75833.0,75187.0,75194.0,38,29,Sunny20–21 °C (68–70 °F) air temperature39 °C (102 °F) track temperature4 m/s (13 ft/s) wind from the north[2],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,75187.0,75833.0,75404.66666666667,23,6,71,0,0,0,0,0,0,2,1,0,0,1,1,0,1,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +44.0,1,1,25.0,70,5513145.0,64.0,3.0,77472.0,202.648,hamilton,44.0,British,mercedes,German,2015,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,3.0,285.0,1.0,6.0,75895.0,74661.0,74393.0,39,30,Sunny20–21 °C (68–70 °F) air temperature39 °C (102 °F) track temperature4 m/s (13 ft/s) wind from the north[2],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,74393.0,75895.0,74983.0,22,8,155,6,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,157.0,91.0,83.0,88.0,87.0 +27.0,7,8,4.0,69,,66.0,9.0,78238.0,200.664,hulkenberg,27.0,German,force_india,Indian,2015,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,21.0,7.0,0.0,76186.0,75706.0,75614.0,37,28,Sunny20–21 °C (68–70 °F) air temperature39 °C (102 °F) track temperature4 m/s (13 ft/s) wind from the north[2],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,75614.0,76186.0,75835.33333333333,23,5,84,0,0,0,0,0,0,1,0,0,0,1,0,1,1,1,0,0,0,77.0,76.0,76.0,70.0,71.0 +26.0,8,9,2.0,69,,69.0,8.0,78048.0,201.153,kvyat,26.0,Russian,red_bull,Austrian,2015,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,54.0,4.0,0.0,76415.0,75891.0,76079.0,30,21,Sunny20–21 °C (68–70 °F) air temperature39 °C (102 °F) track temperature4 m/s (13 ft/s) wind from the north[2],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,75891.0,76415.0,76128.33333333333,20,1,26,0,0,0,1,0,0,0,0,2,1,0,0,0,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +13.0,6,7,6.0,70,5579809.0,51.0,10.0,78385.0,200.288,maldonado,13.0,Venezuelan,lotus_f1,British,2015,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,23.0,5.0,0.0,76098.0,75622.0,75329.0,39,30,Sunny20–21 °C (68–70 °F) air temperature39 °C (102 °F) track temperature4 m/s (13 ft/s) wind from the north[2],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,75329.0,76098.0,75683.0,26,4,84,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,1,0,1,77.0,76.0,76.0,70.0,71.0 +19.0,15,6,8.0,70,5569526.0,64.0,4.0,77553.0,202.437,massa,19.0,Brazilian,williams,British,2015,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,104.0,3.0,0.0,77886.0,77886.0,77886.0,43,34,Sunny20–21 °C (68–70 °F) air temperature39 °C (102 °F) track temperature4 m/s (13 ft/s) wind from the north[2],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,77886.0,77886.0,77886.0,25,9,166,0,0,0,1,1,2,0,0,0,1,0,0,0,0,1,0,0,0,165.0,89.0,83.0,87.0,85.0 +33.0,19,15,0.0,69,,50.0,11.0,78616.0,199.699,max_verstappen,33.0,Dutch,toro_rosso,Italian,2015,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,15.0,8.0,0.0,76361.0,76245.0,76245.0,27,18,Sunny20–21 °C (68–70 °F) air temperature39 °C (102 °F) track temperature4 m/s (13 ft/s) wind from the north[2],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,76245.0,76361.0,76283.66666666667,18,0,7,0,0,0,0,0,0,1,0,0,0,1,0,1,0,0,0,1,2,58.0,72.0,78.0,73.0,72.0 +12.0,14,16,0.0,68,,47.0,17.0,79088.0,198.507,nasr,12.0,Brazilian,sauber,Swiss,2015,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+2 Laps,0.0,21.0,6.0,0.0,76968.0,76620.0,76620.0,32,23,Sunny20–21 °C (68–70 °F) air temperature39 °C (102 °F) track temperature4 m/s (13 ft/s) wind from the north[2],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,76620.0,76968.0,76736.0,23,0,7,0,0,0,0,1,0,0,1,1,0,0,3,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,10,11,0.0,69,,49.0,14.0,78889.0,199.008,perez,11.0,Mexican,force_india,Indian,2015,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,21.0,7.0,0.0,76827.0,75974.0,76338.0,34,25,Sunny20–21 °C (68–70 °F) air temperature39 °C (102 °F) track temperature4 m/s (13 ft/s) wind from the north[2],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,75974.0,76827.0,76379.66666666667,21,4,83,0,0,0,0,0,0,1,1,0,1,1,0,2,0,0,0,0,0,77.0,76.0,76.0,70.0,71.0 +7.0,3,4,12.0,70,5558770.0,42.0,1.0,76987.0,203.925,raikkonen,7.0,Finnish,ferrari,Italian,2015,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,180.0,2.0,1.0,76259.0,75348.0,75014.0,45,36,Sunny20–21 °C (68–70 °F) air temperature39 °C (102 °F) track temperature4 m/s (13 ft/s) wind from the north[2],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,75014.0,76259.0,75540.33333333333,27,9,133,1,1,0,2,1,1,0,0,0,0,0,1,0,0,0,0,0,0,134.0,87.0,90.0,80.0,83.0 +3.0,9,13,0.0,69,,67.0,16.0,79060.0,198.578,ricciardo,3.0,Australian,red_bull,Austrian,2015,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,54.0,4.0,0.0,76410.0,76006.0,76114.0,35,26,Sunny20–21 °C (68–70 °F) air temperature39 °C (102 °F) track temperature4 m/s (13 ft/s) wind from the north[2],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,76006.0,76410.0,76176.66666666667,22,4,76,0,0,0,0,1,2,1,0,1,1,0,0,0,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +6.0,2,2,18.0,70,5515430.0,63.0,5.0,77637.0,202.218,rosberg,6.0,German,mercedes,German,2015,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,2.0,285.0,1.0,6.0,75893.0,74673.0,74702.0,39,30,Sunny20–21 °C (68–70 °F) air temperature39 °C (102 °F) track temperature4 m/s (13 ft/s) wind from the north[2],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,74673.0,75893.0,75089.33333333333,21,9,173,6,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,176.0,88.0,87.0,89.0,87.0 +55.0,11,12,0.0,69,,61.0,12.0,78811.0,199.205,sainz,55.0,Spanish,toro_rosso,Italian,2015,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,15.0,8.0,0.0,76611.0,76042.0,76042.0,30,21,Sunny20–21 °C (68–70 °F) air temperature39 °C (102 °F) track temperature4 m/s (13 ft/s) wind from the north[2],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,76042.0,76611.0,76231.66666666667,21,0,7,0,0,0,0,0,0,0,1,2,1,0,0,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +28.0,17,17,0.0,66,,38.0,19.0,80707.0,194.525,stevens,28.0,British,manor,British,2015,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+4 Laps,0.0,0.0,10.0,0.0,79157.0,79157.0,79157.0,33,24,Sunny20–21 °C (68–70 °F) air temperature39 °C (102 °F) track temperature4 m/s (13 ft/s) wind from the north[2],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,79157.0,79157.0,79157.0,23,1,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,2,0,58.0,72.0,78.0,73.0,72.0 +5.0,18,5,10.0,70,5563048.0,59.0,2.0,77105.0,203.613,vettel,5.0,German,ferrari,Italian,2015,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,1.0,180.0,2.0,1.0,77344.0,77344.0,77344.0,37,28,Sunny20–21 °C (68–70 °F) air temperature39 °C (102 °F) track temperature4 m/s (13 ft/s) wind from the north[2],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,77344.0,77344.0,77344.0,20,8,146,5,1,3,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,147.0,88.0,80.0,84.0,83.0 +77.0,6,5,10.0,71,5470534.0,52.0,7.0,72248.0,215.557,bottas,77.0,Finnish,williams,British,2015,8,Austrian Grand Prix,43200000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,0.0,129.0,3.0,0.0,71894.0,69598.0,69319.0,35,26,Cloudy14–15 °C (57–59 °F) air temperature27–32 °C (81–90 °F) track temperature2 m/s (6.6 ft/s) wind from the west[2],0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,69319.0,71894.0,70270.33333333333,24,2,46,1,0,1,2,1,1,0,0,0,0,0,0,0,1,0,0,0,1,72.0,76.0,76.0,76.0,74.0 +9.0,11,13,0.0,69,,56.0,11.0,72516.0,214.76,ericsson,9.0,Swedish,sauber,Swiss,2015,8,Austrian Grand Prix,43200000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+2 Laps,0.0,21.0,7.0,0.0,72388.0,70426.0,70426.0,34,25,Cloudy14–15 °C (57–59 °F) air temperature27–32 °C (81–90 °F) track temperature2 m/s (6.6 ft/s) wind from the west[2],0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,70426.0,72388.0,71080.0,24,1,24,0,0,0,0,0,0,0,1,0,1,0,0,1,3,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +44.0,1,2,18.0,71,5425730.0,60.0,2.0,71475.0,217.888,hamilton,44.0,British,mercedes,German,2015,8,Austrian Grand Prix,43200000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,4.0,328.0,1.0,7.0,72218.0,69062.0,68455.0,39,30,Cloudy14–15 °C (57–59 °F) air temperature27–32 °C (81–90 °F) track temperature2 m/s (6.6 ft/s) wind from the west[2],0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,68455.0,72218.0,69911.66666666667,22,8,156,7,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,157.0,91.0,83.0,88.0,87.0 +27.0,5,6,8.0,71,5481005.0,62.0,12.0,72541.0,214.686,hulkenberg,27.0,German,force_india,Indian,2015,8,Austrian Grand Prix,43200000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,0.0,31.0,5.0,0.0,71319.0,69604.0,69278.0,37,28,Cloudy14–15 °C (57–59 °F) air temperature27–32 °C (81–90 °F) track temperature2 m/s (6.6 ft/s) wind from the west[2],0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,69278.0,71319.0,70067.0,23,5,85,0,0,0,0,0,0,1,1,0,0,1,0,1,1,1,0,0,0,77.0,76.0,76.0,70.0,71.0 +26.0,15,12,0.0,70,,54.0,8.0,72316.0,215.354,kvyat,26.0,Russian,red_bull,Austrian,2015,8,Austrian Grand Prix,43200000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,55.0,4.0,0.0,72092.0,70187.0,69694.0,30,21,Cloudy14–15 °C (57–59 °F) air temperature27–32 °C (81–90 °F) track temperature2 m/s (6.6 ft/s) wind from the west[2],0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,69694.0,72092.0,70657.66666666667,20,1,27,0,0,0,1,0,0,0,0,3,1,0,0,0,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +13.0,10,7,6.0,70,,58.0,6.0,71785.0,216.947,maldonado,13.0,Venezuelan,lotus_f1,British,2015,8,Austrian Grand Prix,43200000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,29.0,6.0,0.0,71661.0,70374.0,70374.0,39,30,Cloudy14–15 °C (57–59 °F) air temperature27–32 °C (81–90 °F) track temperature2 m/s (6.6 ft/s) wind from the west[2],0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,70374.0,71661.0,70803.0,26,4,85,0,0,0,0,0,0,1,0,0,0,0,0,0,0,2,1,0,1,77.0,76.0,76.0,70.0,71.0 +19.0,4,3,15.0,71,5434503.0,58.0,4.0,71613.0,217.468,massa,19.0,Brazilian,williams,British,2015,8,Austrian Grand Prix,43200000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,0.0,129.0,3.0,0.0,71830.0,69719.0,69192.0,43,34,Cloudy14–15 °C (57–59 °F) air temperature27–32 °C (81–90 °F) track temperature2 m/s (6.6 ft/s) wind from the west[2],0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,69192.0,71830.0,70247.0,25,9,167,0,0,0,1,1,3,0,0,0,1,0,0,0,0,1,0,0,0,165.0,89.0,83.0,87.0,85.0 +33.0,7,8,4.0,70,,64.0,9.0,72349.0,215.256,max_verstappen,33.0,Dutch,toro_rosso,Italian,2015,8,Austrian Grand Prix,43200000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,19.0,8.0,0.0,71307.0,69631.0,69612.0,27,18,Cloudy14–15 °C (57–59 °F) air temperature27–32 °C (81–90 °F) track temperature2 m/s (6.6 ft/s) wind from the west[2],0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,69612.0,71307.0,70183.33333333333,18,0,8,0,0,0,0,0,0,1,0,0,0,1,0,1,0,1,0,1,2,58.0,72.0,78.0,73.0,72.0 +98.0,16,14,0.0,68,,58.0,16.0,74939.0,207.817,merhi,98.0,Spanish,manor,British,2015,8,Austrian Grand Prix,43200000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+3 Laps,0.0,0.0,10.0,0.0,74071.0,74071.0,74071.0,33,24,Cloudy14–15 °C (57–59 °F) air temperature27–32 °C (81–90 °F) track temperature2 m/s (6.6 ft/s) wind from the west[2],0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,74071.0,74071.0,74071.0,24,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,1,2,58.0,72.0,78.0,73.0,72.0 +12.0,8,11,0.0,70,,57.0,14.0,73050.0,213.19,nasr,12.0,Brazilian,sauber,Swiss,2015,8,Austrian Grand Prix,43200000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,21.0,7.0,0.0,72001.0,69652.0,69713.0,32,23,Cloudy14–15 °C (57–59 °F) air temperature27–32 °C (81–90 °F) track temperature2 m/s (6.6 ft/s) wind from the west[2],0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,69652.0,72001.0,70455.33333333333,23,0,8,0,0,0,0,1,0,0,1,1,0,0,3,0,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,13,9,2.0,70,,58.0,10.0,72377.0,215.173,perez,11.0,Mexican,force_india,Indian,2015,8,Austrian Grand Prix,43200000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,31.0,5.0,0.0,72522.0,72522.0,72522.0,34,25,Cloudy14–15 °C (57–59 °F) air temperature27–32 °C (81–90 °F) track temperature2 m/s (6.6 ft/s) wind from the west[2],0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,72522.0,72522.0,72522.0,21,4,84,0,0,0,0,0,0,1,1,0,1,2,0,2,0,0,0,0,0,77.0,76.0,76.0,70.0,71.0 +3.0,18,10,1.0,70,,69.0,5.0,71689.0,217.238,ricciardo,3.0,Australian,red_bull,Austrian,2015,8,Austrian Grand Prix,43200000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,55.0,4.0,0.0,71973.0,70482.0,70482.0,35,26,Cloudy14–15 °C (57–59 °F) air temperature27–32 °C (81–90 °F) track temperature2 m/s (6.6 ft/s) wind from the west[2],0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,70482.0,71973.0,70979.0,22,4,77,0,0,0,0,1,2,1,0,1,1,0,0,1,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +6.0,2,1,25.0,71,5416930.0,35.0,1.0,71235.0,218.622,rosberg,6.0,German,mercedes,German,2015,8,Austrian Grand Prix,43200000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,2.0,328.0,1.0,7.0,70976.0,68634.0,68655.0,39,30,Cloudy14–15 °C (57–59 °F) air temperature27–32 °C (81–90 °F) track temperature2 m/s (6.6 ft/s) wind from the west[2],0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,68634.0,70976.0,69421.66666666667,21,9,174,7,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,176.0,88.0,87.0,89.0,87.0 +5.0,3,4,12.0,71,5435111.0,44.0,3.0,71499.0,217.815,vettel,5.0,German,ferrari,Italian,2015,8,Austrian Grand Prix,43200000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,1.0,192.0,2.0,1.0,71184.0,69392.0,68810.0,37,28,Cloudy14–15 °C (57–59 °F) air temperature27–32 °C (81–90 °F) track temperature2 m/s (6.6 ft/s) wind from the west[2],0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,68810.0,71184.0,69795.33333333333,20,8,147,5,1,3,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,147.0,88.0,80.0,84.0,83.0 +14.0,17,10,1.0,51,,30.0,12.0,98883.0,214.471,alonso,14.0,Spanish,mclaren,British,2015,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,5.0,9.0,0.0,94959.0,94959.0,94959.0,43,34,"Cloudy, rain at times17–20 °C (63–68 °F) air temperature24–32 °C (75–90 °F) track temperature2.5 m/s (8.2 ft/s) wind from the east[2]",0,0,0,1,1,Race circuit,Clockwise,5.891,52.0,306.198,94959.0,94959.0,94959.0,25,9,174,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,1,176.0,88.0,87.0,89.0,87.0 +77.0,4,5,10.0,52,5550923.0,32.0,5.0,97513.0,217.484,bottas,77.0,Finnish,williams,British,2015,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,151.0,3.0,0.0,94171.0,93020.0,93149.0,35,26,"Cloudy, rain at times17–20 °C (63–68 °F) air temperature24–32 °C (75–90 °F) track temperature2.5 m/s (8.2 ft/s) wind from the east[2]",0,0,0,1,1,Race circuit,Clockwise,5.891,52.0,306.198,93020.0,94171.0,93446.66666666669,24,2,47,1,0,1,2,2,1,0,0,0,0,0,0,0,1,0,0,0,1,72.0,76.0,76.0,76.0,74.0 +9.0,15,11,0.0,51,,31.0,8.0,98131.0,216.115,ericsson,9.0,Swedish,sauber,Swiss,2015,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,21.0,7.0,0.0,94643.0,94868.0,94868.0,34,25,"Cloudy, rain at times17–20 °C (63–68 °F) air temperature24–32 °C (75–90 °F) track temperature2.5 m/s (8.2 ft/s) wind from the east[2]",0,0,0,1,1,Race circuit,Clockwise,5.891,52.0,306.198,94643.0,94868.0,94793.0,24,1,25,0,0,0,0,0,0,0,1,0,1,0,0,2,3,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +44.0,1,1,25.0,52,5487729.0,29.0,1.0,97093.0,218.425,hamilton,44.0,British,mercedes,German,2015,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,4.0,371.0,1.0,8.0,93796.0,93068.0,92248.0,39,30,"Cloudy, rain at times17–20 °C (63–68 °F) air temperature24–32 °C (75–90 °F) track temperature2.5 m/s (8.2 ft/s) wind from the east[2]",0,0,0,1,1,Race circuit,Clockwise,5.891,52.0,306.198,92248.0,93796.0,93037.33333333331,22,8,157,8,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,158.0,89.0,81.0,86.0,84.0 +27.0,9,7,6.0,52,5566473.0,32.0,9.0,98296.0,215.752,hulkenberg,27.0,German,force_india,Indian,2015,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,39.0,5.0,0.0,94594.0,93693.0,93673.0,37,28,"Cloudy, rain at times17–20 °C (63–68 °F) air temperature24–32 °C (75–90 °F) track temperature2.5 m/s (8.2 ft/s) wind from the east[2]",0,0,0,1,1,Race circuit,Clockwise,5.891,52.0,306.198,93673.0,94594.0,93986.66666666669,23,5,86,0,0,0,0,0,1,1,1,0,0,1,0,1,1,1,0,0,0,91.0,83.0,77.0,75.0,75.0 +26.0,7,6,8.0,52,5551684.0,28.0,7.0,97910.0,216.603,kvyat,26.0,Russian,red_bull,Austrian,2015,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,63.0,4.0,0.0,94422.0,93520.0,93636.0,30,21,"Cloudy, rain at times17–20 °C (63–68 °F) air temperature24–32 °C (75–90 °F) track temperature2.5 m/s (8.2 ft/s) wind from the east[2]",0,0,0,1,1,Race circuit,Clockwise,5.891,52.0,306.198,93520.0,94422.0,93859.33333333331,20,1,28,0,0,0,1,0,0,0,0,3,1,0,1,0,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +19.0,3,4,12.0,52,5524568.0,26.0,3.0,97466.0,217.589,massa,19.0,Brazilian,williams,British,2015,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,151.0,3.0,0.0,94542.0,93707.0,93085.0,43,34,"Cloudy, rain at times17–20 °C (63–68 °F) air temperature24–32 °C (75–90 °F) track temperature2.5 m/s (8.2 ft/s) wind from the east[2]",0,0,0,1,1,Race circuit,Clockwise,5.891,52.0,306.198,93085.0,94542.0,93778.0,25,9,168,1,0,1,1,1,3,0,0,0,1,0,0,0,0,1,0,0,0,165.0,89.0,83.0,87.0,85.0 +98.0,20,12,0.0,49,,26.0,15.0,102324.0,207.259,merhi,98.0,Spanish,manor,British,2015,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+3 Laps,0.0,0.0,10.0,0.0,99377.0,99377.0,99377.0,33,24,"Cloudy, rain at times17–20 °C (63–68 °F) air temperature24–32 °C (75–90 °F) track temperature2.5 m/s (8.2 ft/s) wind from the east[2]",0,0,0,1,1,Race circuit,Clockwise,5.891,52.0,306.198,99377.0,99377.0,99377.0,24,0,8,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,2,1,2,58.0,72.0,78.0,73.0,72.0 +11.0,11,9,2.0,51,,25.0,10.0,98466.0,215.379,perez,11.0,Mexican,force_india,Indian,2015,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,39.0,5.0,0.0,94250.0,94268.0,94268.0,34,25,"Cloudy, rain at times17–20 °C (63–68 °F) air temperature24–32 °C (75–90 °F) track temperature2.5 m/s (8.2 ft/s) wind from the east[2]",0,0,0,1,1,Race circuit,Clockwise,5.891,52.0,306.198,94250.0,94268.0,94262.0,21,4,85,0,0,0,0,0,0,1,1,1,1,2,0,2,0,0,0,0,0,77.0,76.0,76.0,70.0,71.0 +7.0,5,8,4.0,51,,31.0,4.0,97493.0,217.529,raikkonen,7.0,Finnish,ferrari,Italian,2015,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,211.0,2.0,1.0,93426.0,93911.0,93379.0,45,36,"Cloudy, rain at times17–20 °C (63–68 °F) air temperature24–32 °C (75–90 °F) track temperature2.5 m/s (8.2 ft/s) wind from the east[2]",0,0,0,1,1,Race circuit,Clockwise,5.891,52.0,306.198,93379.0,93911.0,93572.0,27,9,135,1,1,0,3,1,1,0,0,0,0,0,1,0,0,0,0,0,0,134.0,87.0,90.0,80.0,83.0 +6.0,2,2,18.0,52,5498685.0,24.0,2.0,97403.0,217.73,rosberg,6.0,German,mercedes,German,2015,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,3.0,371.0,1.0,8.0,93475.0,92737.0,92361.0,39,30,"Cloudy, rain at times17–20 °C (63–68 °F) air temperature24–32 °C (75–90 °F) track temperature2.5 m/s (8.2 ft/s) wind from the east[2]",0,0,0,1,1,Race circuit,Clockwise,5.891,52.0,306.198,92361.0,93475.0,92857.66666666669,21,9,175,8,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,176.0,88.0,87.0,89.0,87.0 +28.0,19,13,0.0,49,,28.0,14.0,101919.0,208.082,stevens,28.0,British,manor,British,2015,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+3 Laps,0.0,0.0,10.0,0.0,97364.0,97364.0,97364.0,33,24,"Cloudy, rain at times17–20 °C (63–68 °F) air temperature24–32 °C (75–90 °F) track temperature2.5 m/s (8.2 ft/s) wind from the east[2]",0,0,0,1,1,Race circuit,Clockwise,5.891,52.0,306.198,97364.0,97364.0,97364.0,23,1,9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,3,1,58.0,72.0,78.0,73.0,72.0 +5.0,6,3,15.0,52,5513172.0,31.0,6.0,97707.0,217.053,vettel,5.0,German,ferrari,Italian,2015,9,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,1.0,211.0,2.0,1.0,93562.0,93641.0,93547.0,37,28,"Cloudy, rain at times17–20 °C (63–68 °F) air temperature24–32 °C (75–90 °F) track temperature2.5 m/s (8.2 ft/s) wind from the east[2]",0,0,0,1,1,Race circuit,Clockwise,5.891,52.0,306.198,93547.0,93641.0,93583.33333333331,20,8,148,5,1,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,148.0,87.0,77.0,83.0,82.0 +14.0,15,5,10.0,69,6419064.0,67.0,10.0,87311.0,180.637,alonso,14.0,Spanish,mclaren,British,2015,10,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,17.0,9.0,0.0,84563.0,84563.0,84563.0,43,34,Sunny22–24 °C (72–75 °F) air temperature41–48 °C (106–118 °F) track temperature3.2 m/s (10 ft/s) wind from the east[2],1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,84563.0,84563.0,84563.0,25,9,175,0,0,0,0,0,0,0,0,0,1,1,1,0,0,0,0,0,1,176.0,88.0,87.0,89.0,87.0 +77.0,6,13,0.0,69,6450213.0,51.0,8.0,87058.0,181.161,bottas,77.0,Finnish,williams,British,2015,10,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,151.0,3.0,0.0,83649.0,83555.0,83222.0,35,26,Sunny22–24 °C (72–75 °F) air temperature41–48 °C (106–118 °F) track temperature3.2 m/s (10 ft/s) wind from the east[2],1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,83222.0,83649.0,83475.33333333333,24,2,48,1,0,1,2,3,1,0,0,0,0,0,0,0,1,0,0,0,1,72.0,76.0,76.0,76.0,74.0 +22.0,16,9,2.0,69,6437013.0,65.0,17.0,88535.0,178.139,button,22.0,British,mclaren,British,2015,10,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,17.0,9.0,0.0,84739.0,84739.0,84739.0,44,35,Sunny22–24 °C (72–75 °F) air temperature41–48 °C (106–118 °F) track temperature3.2 m/s (10 ft/s) wind from the east[2],1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,84739.0,84739.0,84739.0,26,9,176,0,0,0,0,0,0,0,1,0,0,1,0,0,1,0,1,2,0,176.0,88.0,87.0,89.0,87.0 +9.0,17,10,1.0,69,6439115.0,60.0,12.0,88004.0,179.214,ericsson,9.0,Swedish,sauber,Swiss,2015,10,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,22.0,8.0,0.0,84843.0,84843.0,84843.0,34,25,Sunny22–24 °C (72–75 °F) air temperature41–48 °C (106–118 °F) track temperature3.2 m/s (10 ft/s) wind from the east[2],1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,84843.0,84843.0,84843.0,24,1,26,0,0,0,0,0,0,0,1,0,1,1,0,2,3,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,10,7,6.0,69,6428563.0,60.0,14.0,88080.0,179.059,grosjean,8.0,French,lotus_f1,British,2015,10,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,35.0,6.0,0.0,84242.0,83805.0,84181.0,38,29,Sunny22–24 °C (72–75 °F) air temperature41–48 °C (106–118 °F) track temperature3.2 m/s (10 ft/s) wind from the east[2],1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,83805.0,84242.0,84076.0,23,6,74,0,0,0,0,0,0,2,1,0,1,1,1,0,1,1,0,1,0,74.0,75.0,75.0,72.0,71.0 +44.0,1,6,8.0,69,6422010.0,68.0,3.0,85727.0,183.974,hamilton,44.0,British,mercedes,German,2015,10,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,5.0,383.0,1.0,8.0,82890.0,82285.0,82020.0,39,30,Sunny22–24 °C (72–75 °F) air temperature41–48 °C (106–118 °F) track temperature3.2 m/s (10 ft/s) wind from the east[2],1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,82020.0,82890.0,82398.33333333333,22,8,158,9,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,158.0,89.0,81.0,86.0,84.0 +26.0,7,2,18.0,69,6385733.0,57.0,4.0,86519.0,182.29,kvyat,26.0,Russian,red_bull,Austrian,2015,10,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,96.0,4.0,0.0,83587.0,83597.0,83332.0,30,21,Sunny22–24 °C (72–75 °F) air temperature41–48 °C (106–118 °F) track temperature3.2 m/s (10 ft/s) wind from the east[2],1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,83332.0,83597.0,83505.33333333333,20,1,29,0,0,0,1,0,1,0,0,3,1,0,1,0,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +13.0,14,14,0.0,69,6455127.0,62.0,9.0,87130.0,181.012,maldonado,13.0,Venezuelan,lotus_f1,British,2015,10,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,35.0,6.0,0.0,83895.0,84609.0,84609.0,39,30,Sunny22–24 °C (72–75 °F) air temperature41–48 °C (106–118 °F) track temperature3.2 m/s (10 ft/s) wind from the east[2],1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,83895.0,84609.0,84371.0,26,4,87,0,0,0,0,0,0,2,0,0,0,0,0,0,0,2,1,0,2,91.0,83.0,77.0,75.0,75.0 +19.0,8,12,0.0,69,6444263.0,59.0,6.0,86864.0,181.566,massa,19.0,Brazilian,williams,British,2015,10,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,151.0,3.0,0.0,83895.0,83598.0,83537.0,43,34,Sunny22–24 °C (72–75 °F) air temperature41–48 °C (106–118 °F) track temperature3.2 m/s (10 ft/s) wind from the east[2],1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,83537.0,83895.0,83676.66666666667,25,9,169,1,0,1,2,1,3,0,0,0,1,0,0,0,0,1,0,0,0,176.0,88.0,87.0,89.0,87.0 +33.0,9,4,12.0,69,6414236.0,62.0,11.0,87650.0,179.938,max_verstappen,33.0,Dutch,toro_rosso,Italian,2015,10,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,31.0,7.0,0.0,84032.0,83781.0,83679.0,27,18,Sunny22–24 °C (72–75 °F) air temperature41–48 °C (106–118 °F) track temperature3.2 m/s (10 ft/s) wind from the east[2],1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,83679.0,84032.0,83830.66666666667,18,0,10,0,0,0,0,0,0,1,1,0,0,1,0,1,0,1,1,1,2,58.0,72.0,78.0,73.0,72.0 +98.0,19,15,0.0,67,,59.0,20.0,89868.0,175.497,merhi,98.0,Spanish,manor,British,2015,10,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+2 Laps,0.0,0.0,10.0,0.0,87416.0,87416.0,87416.0,33,24,Sunny22–24 °C (72–75 °F) air temperature41–48 °C (106–118 °F) track temperature3.2 m/s (10 ft/s) wind from the east[2],1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,87416.0,87416.0,87416.0,24,0,9,0,0,0,0,0,0,0,0,0,0,0,1,0,1,1,2,1,2,58.0,72.0,78.0,73.0,72.0 +12.0,18,11,0.0,69,6443443.0,51.0,15.0,88268.0,178.678,nasr,12.0,Brazilian,sauber,Swiss,2015,10,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,22.0,8.0,0.0,84997.0,84997.0,84997.0,32,23,Sunny22–24 °C (72–75 °F) air temperature41–48 °C (106–118 °F) track temperature3.2 m/s (10 ft/s) wind from the east[2],1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,84997.0,84997.0,84997.0,23,0,10,0,0,0,0,1,0,0,1,1,0,1,3,0,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +3.0,4,3,15.0,69,6395069.0,68.0,1.0,84821.0,185.939,ricciardo,3.0,Australian,red_bull,Austrian,2015,10,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,96.0,4.0,0.0,84408.0,83230.0,82774.0,35,26,Sunny22–24 °C (72–75 °F) air temperature41–48 °C (106–118 °F) track temperature3.2 m/s (10 ft/s) wind from the east[2],1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,82774.0,84408.0,83470.66666666667,22,4,79,0,0,0,0,1,2,1,0,1,2,0,0,1,0,1,0,0,0,74.0,75.0,75.0,72.0,71.0 +6.0,2,8,4.0,69,6428861.0,68.0,2.0,85149.0,185.223,rosberg,6.0,German,mercedes,German,2015,10,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,3.0,383.0,1.0,8.0,82979.0,82775.0,82595.0,39,30,Sunny22–24 °C (72–75 °F) air temperature41–48 °C (106–118 °F) track temperature3.2 m/s (10 ft/s) wind from the east[2],1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,82595.0,82979.0,82783.0,21,9,176,9,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,176.0,88.0,87.0,89.0,87.0 +28.0,20,16,0.0,65,,56.0,19.0,89543.0,176.134,stevens,28.0,British,manor,British,2015,10,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+4 Laps,0.0,0.0,10.0,0.0,87949.0,87949.0,87949.0,33,24,Sunny22–24 °C (72–75 °F) air temperature41–48 °C (106–118 °F) track temperature3.2 m/s (10 ft/s) wind from the east[2],1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,87949.0,87949.0,87949.0,23,1,10,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,1,3,1,58.0,72.0,78.0,73.0,72.0 +5.0,3,1,25.0,69,6369985.0,63.0,5.0,86772.0,181.759,vettel,5.0,German,ferrari,Italian,2015,10,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,1.0,236.0,2.0,2.0,83312.0,83168.0,82739.0,37,28,Sunny22–24 °C (72–75 °F) air temperature41–48 °C (106–118 °F) track temperature3.2 m/s (10 ft/s) wind from the east[2],1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,82739.0,83312.0,83073.0,20,8,149,6,1,4,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,148.0,87.0,77.0,83.0,82.0 +14.0,20,13,0.0,42,,34.0,5.0,113692.0,221.778,alonso,14.0,Spanish,mclaren,British,2015,11,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,+1 Lap,0.0,17.0,9.0,0.0,111420.0,111420.0,111420.0,43,34,Cloudy23 °C (73 °F) air temperature33–37 °C (91–99 °F) track temperature3.5 m/s (11 ft/s) wind from the northwest[2],0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,111420.0,111420.0,111420.0,25,9,176,0,0,0,0,1,0,0,0,0,1,1,1,0,0,0,0,0,1,176.0,88.0,87.0,89.0,87.0 +22.0,19,14,0.0,42,,38.0,15.0,115533.0,218.244,button,22.0,British,mclaren,British,2015,11,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,+1 Lap,0.0,17.0,9.0,0.0,110978.0,110978.0,110978.0,44,35,Cloudy23 °C (73 °F) air temperature33–37 °C (91–99 °F) track temperature3.5 m/s (11 ft/s) wind from the northwest[2],0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,110978.0,110978.0,110978.0,26,9,177,0,0,0,0,0,0,0,1,1,0,1,0,0,1,0,1,2,0,176.0,88.0,87.0,89.0,87.0 +9.0,13,10,1.0,43,5111621.0,30.0,7.0,114022.0,221.136,ericsson,9.0,Swedish,sauber,Swiss,2015,11,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,23.0,8.0,0.0,109523.0,109586.0,109586.0,34,25,Cloudy23 °C (73 °F) air temperature33–37 °C (91–99 °F) track temperature3.5 m/s (11 ft/s) wind from the northwest[2],0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,109523.0,109586.0,109565.0,24,1,27,0,0,0,0,0,0,0,1,0,2,1,0,2,3,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,9,3,15.0,43,5058375.0,37.0,12.0,114779.0,219.677,grosjean,8.0,French,lotus_f1,British,2015,11,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,50.0,5.0,0.0,109353.0,108981.0,108561.0,38,29,Cloudy23 °C (73 °F) air temperature33–37 °C (91–99 °F) track temperature3.5 m/s (11 ft/s) wind from the northwest[2],0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,108561.0,109353.0,108965.0,23,6,75,0,0,0,0,0,0,3,1,0,1,1,1,0,1,1,0,1,0,74.0,75.0,75.0,72.0,71.0 +44.0,1,1,25.0,43,5020387.0,34.0,2.0,112504.0,224.12,hamilton,44.0,British,mercedes,German,2015,11,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,5.0,426.0,1.0,9.0,108908.0,108024.0,107197.0,39,30,Cloudy23 °C (73 °F) air temperature33–37 °C (91–99 °F) track temperature3.5 m/s (11 ft/s) wind from the northwest[2],0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,107197.0,108908.0,108043.0,22,8,159,9,3,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,158.0,89.0,81.0,86.0,84.0 +26.0,12,4,12.0,43,5066079.0,29.0,3.0,113032.0,223.073,kvyat,26.0,Russian,red_bull,Austrian,2015,11,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,108.0,4.0,0.0,109469.0,109228.0,109228.0,30,21,Cloudy23 °C (73 °F) air temperature33–37 °C (91–99 °F) track temperature3.5 m/s (11 ft/s) wind from the northwest[2],0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,109228.0,109469.0,109308.33333333331,20,1,30,1,1,0,1,0,1,0,0,3,1,0,1,0,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +19.0,6,6,8.0,43,5075670.0,23.0,8.0,114093.0,220.998,massa,19.0,Brazilian,williams,British,2015,11,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,161.0,3.0,0.0,109688.0,108806.0,108685.0,43,34,Cloudy23 °C (73 °F) air temperature33–37 °C (91–99 °F) track temperature3.5 m/s (11 ft/s) wind from the northwest[2],0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,108685.0,109688.0,109059.66666666669,25,9,170,1,0,1,2,1,3,0,0,0,1,0,1,0,0,1,0,0,0,176.0,88.0,87.0,89.0,87.0 +33.0,18,8,4.0,43,5076463.0,36.0,4.0,113276.0,222.592,max_verstappen,33.0,Dutch,toro_rosso,Italian,2015,11,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,35.0,7.0,0.0,109831.0,109831.0,109831.0,27,18,Cloudy23 °C (73 °F) air temperature33–37 °C (91–99 °F) track temperature3.5 m/s (11 ft/s) wind from the northwest[2],0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,109831.0,109831.0,109831.0,18,0,11,0,0,0,1,0,0,1,1,0,0,1,0,1,0,1,1,1,2,58.0,72.0,78.0,73.0,72.0 +98.0,17,15,0.0,42,,32.0,18.0,118174.0,213.366,merhi,98.0,Spanish,manor,British,2015,11,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,+1 Lap,0.0,0.0,10.0,0.0,111420.0,111420.0,111420.0,33,24,Cloudy23 °C (73 °F) air temperature33–37 °C (91–99 °F) track temperature3.5 m/s (11 ft/s) wind from the northwest[2],0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,111420.0,111420.0,111420.0,24,0,10,0,0,0,0,0,0,0,0,0,0,0,1,0,1,2,2,1,2,58.0,72.0,78.0,73.0,72.0 +12.0,14,11,0.0,43,5122698.0,29.0,6.0,113991.0,221.196,nasr,12.0,Brazilian,sauber,Swiss,2015,11,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,23.0,8.0,0.0,109952.0,109952.0,109952.0,32,23,Cloudy23 °C (73 °F) air temperature33–37 °C (91–99 °F) track temperature3.5 m/s (11 ft/s) wind from the northwest[2],0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,109952.0,109952.0,109952.0,23,0,11,0,0,0,0,1,0,0,1,1,0,2,3,0,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,4,5,10.0,43,5074384.0,29.0,13.0,114796.0,219.645,perez,11.0,Mexican,force_india,Indian,2015,11,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,49.0,6.0,0.0,109006.0,108792.0,108599.0,34,25,Cloudy23 °C (73 °F) air temperature33–37 °C (91–99 °F) track temperature3.5 m/s (11 ft/s) wind from the northwest[2],0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,108599.0,109006.0,108799.0,21,4,87,0,0,0,0,0,0,1,1,2,1,2,0,2,0,0,0,0,0,91.0,83.0,77.0,75.0,75.0 +7.0,16,7,6.0,43,5076090.0,30.0,9.0,114517.0,220.18,raikkonen,7.0,Finnish,ferrari,Italian,2015,11,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,242.0,2.0,2.0,109288.0,109288.0,109288.0,45,36,Cloudy23 °C (73 °F) air temperature33–37 °C (91–99 °F) track temperature3.5 m/s (11 ft/s) wind from the northwest[2],0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,109288.0,109288.0,109288.0,27,9,137,1,1,0,3,1,1,0,1,0,0,0,1,0,0,0,0,0,1,134.0,87.0,90.0,80.0,83.0 +6.0,2,2,18.0,43,5022445.0,34.0,1.0,112416.0,224.295,rosberg,6.0,German,mercedes,German,2015,11,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,3.0,426.0,1.0,9.0,108923.0,107955.0,107655.0,39,30,Cloudy23 °C (73 °F) air temperature33–37 °C (91–99 °F) track temperature3.5 m/s (11 ft/s) wind from the northwest[2],0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,107655.0,108923.0,108177.66666666669,21,9,177,9,4,2,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,176.0,88.0,87.0,89.0,87.0 +28.0,15,16,0.0,42,,33.0,17.0,118150.0,213.41,stevens,28.0,British,manor,British,2015,11,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,+1 Lap,0.0,0.0,10.0,0.0,111420.0,111420.0,111420.0,33,24,Cloudy23 °C (73 °F) air temperature33–37 °C (91–99 °F) track temperature3.5 m/s (11 ft/s) wind from the northwest[2],0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,111420.0,111420.0,111420.0,23,1,11,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,2,3,1,58.0,72.0,78.0,73.0,72.0 +14.0,16,18,0.0,47,,42.0,15.0,89285.0,233.575,alonso,14.0,Spanish,mclaren,British,2015,12,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+6 Laps,0.0,17.0,9.0,0.0,86154.0,86154.0,86154.0,43,34,Partly cloudy22–23 °C (72–73 °F) air temperature38–39 °C (100–102 °F) track temperature1.5 m/s (4.9 ft/s) wind from changing directions[2],0,0,0,0,1,Race circuit,Clockwise,5.793,51.0,295.134,86154.0,86154.0,86154.0,25,9,177,0,0,0,0,1,0,0,0,0,1,1,1,1,0,0,0,0,1,176.0,88.0,87.0,89.0,87.0 +77.0,6,4,12.0,53,4728684.0,49.0,6.0,87525.0,238.272,bottas,77.0,Finnish,williams,British,2015,12,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,188.0,3.0,0.0,84979.0,84313.0,84127.0,35,26,Partly cloudy22–23 °C (72–73 °F) air temperature38–39 °C (100–102 °F) track temperature1.5 m/s (4.9 ft/s) wind from changing directions[2],0,0,0,0,1,Race circuit,Clockwise,5.793,51.0,295.134,84127.0,84979.0,84473.0,24,2,50,1,0,1,2,3,1,0,0,1,0,0,0,1,1,0,0,0,1,72.0,76.0,76.0,76.0,74.0 +22.0,15,14,0.0,52,,33.0,16.0,89766.0,232.324,button,22.0,British,mclaren,British,2015,12,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,17.0,9.0,0.0,86058.0,86058.0,86058.0,44,35,Partly cloudy22–23 °C (72–73 °F) air temperature38–39 °C (100–102 °F) track temperature1.5 m/s (4.9 ft/s) wind from changing directions[2],0,0,0,0,1,Race circuit,Clockwise,5.793,51.0,295.134,86058.0,86058.0,86058.0,26,9,178,0,0,0,0,0,0,0,1,1,0,1,0,0,2,0,1,2,0,176.0,88.0,87.0,89.0,87.0 +9.0,12,9,2.0,52,,22.0,12.0,88516.0,235.604,ericsson,9.0,Swedish,sauber,Swiss,2015,12,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,25.0,8.0,0.0,85122.0,84457.0,86214.0,34,25,Partly cloudy22–23 °C (72–73 °F) air temperature38–39 °C (100–102 °F) track temperature1.5 m/s (4.9 ft/s) wind from changing directions[2],0,0,0,0,1,Race circuit,Clockwise,5.793,51.0,295.134,84457.0,86214.0,85264.33333333333,24,1,28,0,0,0,0,0,0,0,1,0,3,1,0,2,3,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +44.0,1,1,25.0,53,4680688.0,48.0,1.0,86672.0,240.617,hamilton,44.0,British,mercedes,German,2015,12,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,6.0,451.0,1.0,10.0,84251.0,83383.0,83397.0,39,30,Partly cloudy22–23 °C (72–73 °F) air temperature38–39 °C (100–102 °F) track temperature1.5 m/s (4.9 ft/s) wind from changing directions[2],0,0,0,0,1,Race circuit,Clockwise,5.793,51.0,295.134,83383.0,84251.0,83677.0,22,8,160,10,3,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,158.0,89.0,81.0,86.0,84.0 +27.0,9,7,6.0,52,,36.0,14.0,88913.0,234.552,hulkenberg,27.0,German,force_india,Indian,2015,12,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,63.0,5.0,0.0,84937.0,84510.0,85317.0,37,28,Partly cloudy22–23 °C (72–73 °F) air temperature38–39 °C (100–102 °F) track temperature1.5 m/s (4.9 ft/s) wind from changing directions[2],0,0,0,0,1,Race circuit,Clockwise,5.793,51.0,295.134,84510.0,85317.0,84921.33333333333,23,5,89,0,0,0,0,0,1,2,1,0,0,1,0,1,1,1,0,0,0,91.0,83.0,77.0,75.0,75.0 +26.0,18,10,1.0,52,,39.0,11.0,88231.0,236.365,kvyat,26.0,Russian,red_bull,Austrian,2015,12,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,113.0,4.0,0.0,85742.0,85796.0,85796.0,30,21,Partly cloudy22–23 °C (72–73 °F) air temperature38–39 °C (100–102 °F) track temperature1.5 m/s (4.9 ft/s) wind from changing directions[2],0,0,0,0,1,Race circuit,Clockwise,5.793,51.0,295.134,85742.0,85796.0,85778.0,20,1,31,1,1,0,2,0,1,0,0,3,1,0,1,0,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +19.0,5,3,15.0,53,4728323.0,31.0,8.0,87874.0,237.326,massa,19.0,Brazilian,williams,British,2015,12,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,188.0,3.0,0.0,85184.0,83983.0,83940.0,43,34,Partly cloudy22–23 °C (72–73 °F) air temperature38–39 °C (100–102 °F) track temperature1.5 m/s (4.9 ft/s) wind from changing directions[2],0,0,0,0,1,Race circuit,Clockwise,5.793,51.0,295.134,83940.0,85184.0,84369.0,25,9,171,1,0,1,2,1,4,0,0,0,1,0,1,0,0,1,0,0,0,176.0,88.0,87.0,89.0,87.0 +33.0,20,12,0.0,52,,35.0,4.0,87390.0,238.64,max_verstappen,33.0,Dutch,toro_rosso,Italian,2015,12,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,35.0,7.0,0.0,87912.0,87912.0,87912.0,27,18,Partly cloudy22–23 °C (72–73 °F) air temperature38–39 °C (100–102 °F) track temperature1.5 m/s (4.9 ft/s) wind from changing directions[2],0,0,0,0,1,Race circuit,Clockwise,5.793,51.0,295.134,87912.0,87912.0,87912.0,18,0,12,0,0,0,1,0,0,1,2,0,0,1,0,1,0,1,1,1,2,58.0,72.0,78.0,73.0,72.0 +98.0,14,16,0.0,51,,29.0,18.0,91311.0,228.393,merhi,98.0,Spanish,manor,British,2015,12,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+2 Laps,0.0,0.0,10.0,0.0,87912.0,87912.0,87912.0,33,24,Partly cloudy22–23 °C (72–73 °F) air temperature38–39 °C (100–102 °F) track temperature1.5 m/s (4.9 ft/s) wind from changing directions[2],0,0,0,0,1,Race circuit,Clockwise,5.793,51.0,295.134,87912.0,87912.0,87912.0,24,0,11,0,0,0,0,0,0,0,0,0,0,0,1,0,1,3,2,1,2,58.0,72.0,78.0,73.0,72.0 +12.0,17,13,0.0,52,,51.0,13.0,88653.0,235.24,nasr,12.0,Brazilian,sauber,Swiss,2015,12,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,25.0,8.0,0.0,85121.0,84898.0,84898.0,32,23,Partly cloudy22–23 °C (72–73 °F) air temperature38–39 °C (100–102 °F) track temperature1.5 m/s (4.9 ft/s) wind from changing directions[2],0,0,0,0,1,Race circuit,Clockwise,5.793,51.0,295.134,84898.0,85121.0,84972.33333333333,23,0,12,0,0,0,0,1,0,0,1,1,0,3,3,0,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,7,6,8.0,53,4753471.0,46.0,10.0,88140.0,236.609,perez,11.0,Mexican,force_india,Indian,2015,12,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,63.0,5.0,0.0,84801.0,84379.0,84626.0,34,25,Partly cloudy22–23 °C (72–73 °F) air temperature38–39 °C (100–102 °F) track temperature1.5 m/s (4.9 ft/s) wind from changing directions[2],0,0,0,0,1,Race circuit,Clockwise,5.793,51.0,295.134,84379.0,84801.0,84602.0,21,4,88,0,0,0,0,1,0,1,1,2,1,2,0,2,0,0,0,0,0,91.0,83.0,77.0,75.0,75.0 +7.0,2,5,10.0,53,4749548.0,43.0,7.0,87584.0,238.111,raikkonen,7.0,Finnish,ferrari,Italian,2015,12,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,270.0,2.0,2.0,84662.0,83757.0,83631.0,45,36,Partly cloudy22–23 °C (72–73 °F) air temperature38–39 °C (100–102 °F) track temperature1.5 m/s (4.9 ft/s) wind from changing directions[2],0,0,0,0,1,Race circuit,Clockwise,5.793,51.0,295.134,83631.0,84662.0,84016.66666666667,27,9,138,1,1,0,3,1,1,1,1,0,0,0,1,0,0,0,0,0,1,137.0,87.0,90.0,80.0,83.0 +3.0,19,8,4.0,52,,50.0,9.0,88065.0,236.811,ricciardo,3.0,Australian,red_bull,Austrian,2015,12,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,113.0,4.0,0.0,85633.0,85633.0,85633.0,35,26,Partly cloudy22–23 °C (72–73 °F) air temperature38–39 °C (100–102 °F) track temperature1.5 m/s (4.9 ft/s) wind from changing directions[2],0,0,0,0,1,Race circuit,Clockwise,5.793,51.0,295.134,85633.0,85633.0,85633.0,22,4,81,1,0,1,0,1,2,1,0,1,2,0,0,1,0,1,0,0,1,77.0,76.0,76.0,70.0,71.0 +6.0,4,17,0.0,50,,43.0,2.0,87067.0,239.525,rosberg,6.0,German,mercedes,German,2015,12,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+3 Laps,3.0,451.0,1.0,10.0,84609.0,83864.0,83703.0,39,30,Partly cloudy22–23 °C (72–73 °F) air temperature38–39 °C (100–102 °F) track temperature1.5 m/s (4.9 ft/s) wind from changing directions[2],0,0,0,0,1,Race circuit,Clockwise,5.793,51.0,295.134,83703.0,84609.0,84058.66666666667,21,9,178,10,5,2,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,176.0,88.0,87.0,89.0,87.0 +55.0,17,11,0.0,52,,38.0,5.0,87510.0,238.313,sainz,55.0,Spanish,toro_rosso,Italian,2015,12,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,35.0,7.0,0.0,85410.0,85618.0,85618.0,30,21,Partly cloudy22–23 °C (72–73 °F) air temperature38–39 °C (100–102 °F) track temperature1.5 m/s (4.9 ft/s) wind from changing directions[2],0,0,0,0,1,Race circuit,Clockwise,5.793,51.0,295.134,85410.0,85618.0,85548.66666666667,21,0,12,0,0,0,0,0,0,0,1,2,1,0,1,1,1,0,1,2,0,58.0,72.0,78.0,73.0,72.0 +28.0,13,15,0.0,51,,51.0,17.0,91098.0,228.927,stevens,28.0,British,manor,British,2015,12,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+2 Laps,0.0,0.0,10.0,0.0,87731.0,87731.0,87731.0,33,24,Partly cloudy22–23 °C (72–73 °F) air temperature38–39 °C (100–102 °F) track temperature1.5 m/s (4.9 ft/s) wind from changing directions[2],0,0,0,0,1,Race circuit,Clockwise,5.793,51.0,295.134,87731.0,87731.0,87731.0,23,1,12,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,3,3,1,58.0,72.0,78.0,73.0,72.0 +5.0,3,2,18.0,53,4705730.0,52.0,3.0,87376.0,238.678,vettel,5.0,German,ferrari,Italian,2015,12,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,2.0,270.0,2.0,2.0,84989.0,83577.0,83685.0,37,28,Partly cloudy22–23 °C (72–73 °F) air temperature38–39 °C (100–102 °F) track temperature1.5 m/s (4.9 ft/s) wind from changing directions[2],0,0,0,0,1,Race circuit,Clockwise,5.793,51.0,295.134,83577.0,84989.0,84083.66666666667,20,8,151,7,1,4,1,2,0,0,0,0,0,0,1,0,0,0,0,0,0,152.0,88.0,78.0,87.0,84.0 +77.0,7,5,10.0,61,7316322.0,49.0,10.0,111342.0,163.765,bottas,77.0,Finnish,williams,British,2015,13,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,198.0,3.0,0.0,106231.0,105887.0,105676.0,35,26,Dry28–29 °C (82–84 °F) air temperature34–36 °C (93–97 °F) track temperature0.5 m/s (1.6 ft/s) wind from the west[2],0,0,1,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,105676.0,106231.0,105931.33333333331,24,2,51,1,0,1,3,3,1,0,0,1,0,0,0,1,1,0,0,0,1,72.0,76.0,76.0,76.0,74.0 +9.0,17,11,0.0,61,7379625.0,30.0,11.0,111594.0,163.395,ericsson,9.0,Swedish,sauber,Swiss,2015,13,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,26.0,8.0,0.0,107088.0,107088.0,107088.0,34,25,Dry28–29 °C (82–84 °F) air temperature34–36 °C (93–97 °F) track temperature0.5 m/s (1.6 ft/s) wind from the west[2],0,0,1,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,107088.0,107088.0,107088.0,24,1,29,0,0,0,0,0,0,0,1,1,3,1,0,2,3,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +26.0,4,6,8.0,61,7317626.0,36.0,8.0,111109.0,164.109,kvyat,26.0,Russian,red_bull,Austrian,2015,13,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,139.0,4.0,0.0,105340.0,104979.0,104745.0,30,21,Dry28–29 °C (82–84 °F) air temperature34–36 °C (93–97 °F) track temperature0.5 m/s (1.6 ft/s) wind from the west[2],0,0,1,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,104745.0,105340.0,105021.33333333331,20,1,32,1,1,0,2,0,1,0,0,3,2,0,1,0,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +13.0,18,12,0.0,61,7379836.0,57.0,3.0,110175.0,165.5,maldonado,13.0,Venezuelan,lotus_f1,British,2015,13,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,50.0,6.0,0.0,107323.0,107323.0,107323.0,39,30,Dry28–29 °C (82–84 °F) air temperature34–36 °C (93–97 °F) track temperature0.5 m/s (1.6 ft/s) wind from the west[2],0,0,1,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,107323.0,107323.0,107323.0,26,4,90,0,0,0,0,0,0,2,0,0,0,0,0,0,1,2,1,0,2,91.0,83.0,77.0,75.0,75.0 +33.0,8,8,4.0,61,7333568.0,43.0,4.0,110298.0,165.315,max_verstappen,33.0,Dutch,toro_rosso,Italian,2015,13,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,41.0,7.0,0.0,106483.0,105635.0,105798.0,27,18,Dry28–29 °C (82–84 °F) air temperature34–36 °C (93–97 °F) track temperature0.5 m/s (1.6 ft/s) wind from the west[2],0,0,1,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,105635.0,106483.0,105972.0,18,0,13,0,0,0,1,0,0,1,2,0,0,1,1,1,0,1,1,1,2,58.0,72.0,78.0,73.0,72.0 +12.0,16,10,1.0,61,7372163.0,36.0,15.0,112566.0,161.984,nasr,12.0,Brazilian,sauber,Swiss,2015,13,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,26.0,8.0,0.0,106965.0,106965.0,106965.0,32,23,Dry28–29 °C (82–84 °F) air temperature34–36 °C (93–97 °F) track temperature0.5 m/s (1.6 ft/s) wind from the west[2],0,0,1,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,106965.0,106965.0,106965.0,23,0,13,0,0,0,0,1,0,0,1,1,0,3,3,1,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,13,7,6.0,61,7332954.0,44.0,12.0,111970.0,162.847,perez,11.0,Mexican,force_india,Indian,2015,13,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,69.0,5.0,0.0,106576.0,106385.0,106385.0,34,25,Dry28–29 °C (82–84 °F) air temperature34–36 °C (93–97 °F) track temperature0.5 m/s (1.6 ft/s) wind from the west[2],0,0,1,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,106385.0,106576.0,106448.66666666669,21,4,89,0,0,0,0,1,1,1,1,2,1,2,0,2,0,0,0,0,0,91.0,83.0,77.0,75.0,75.0 +7.0,3,3,15.0,61,7299272.0,48.0,5.0,110341.0,165.251,raikkonen,7.0,Finnish,ferrari,Italian,2015,13,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,310.0,2.0,3.0,106467.0,105140.0,104667.0,45,36,Dry28–29 °C (82–84 °F) air temperature34–36 °C (93–97 °F) track temperature0.5 m/s (1.6 ft/s) wind from the west[2],0,0,1,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,104667.0,106467.0,105424.66666666669,27,9,139,1,1,0,3,2,1,1,1,0,0,0,1,0,0,0,0,0,1,137.0,87.0,90.0,80.0,83.0 +3.0,2,2,18.0,61,7283596.0,52.0,1.0,110041.0,165.701,ricciardo,3.0,Australian,red_bull,Austrian,2015,13,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,139.0,4.0,0.0,106166.0,105291.0,104428.0,35,26,Dry28–29 °C (82–84 °F) air temperature34–36 °C (93–97 °F) track temperature0.5 m/s (1.6 ft/s) wind from the west[2],0,0,1,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,104428.0,106166.0,105295.0,22,4,82,1,0,1,0,1,2,1,1,1,2,0,0,1,0,1,0,0,1,77.0,76.0,76.0,70.0,71.0 +6.0,6,4,12.0,61,7306838.0,50.0,7.0,110934.0,164.368,rosberg,6.0,German,mercedes,German,2015,13,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,3.0,463.0,1.0,10.0,106201.0,105653.0,105415.0,39,30,Dry28–29 °C (82–84 °F) air temperature34–36 °C (93–97 °F) track temperature0.5 m/s (1.6 ft/s) wind from the west[2],0,0,1,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,105415.0,106201.0,105756.33333333331,21,9,179,10,5,2,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,176.0,88.0,87.0,89.0,87.0 +53.0,20,14,0.0,59,,43.0,19.0,115312.0,158.127,rossi,53.0,American,manor,British,2015,13,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,+2 Laps,0.0,0.0,10.0,0.0,111523.0,111523.0,111523.0,33,24,Dry28–29 °C (82–84 °F) air temperature34–36 °C (93–97 °F) track temperature0.5 m/s (1.6 ft/s) wind from the west[2],0,0,1,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,111523.0,111523.0,111523.0,24,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +55.0,14,9,2.0,61,7334978.0,43.0,6.0,110401.0,165.161,sainz,55.0,Spanish,toro_rosso,Italian,2015,13,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,41.0,7.0,0.0,106465.0,106894.0,106894.0,30,21,Dry28–29 °C (82–84 °F) air temperature34–36 °C (93–97 °F) track temperature0.5 m/s (1.6 ft/s) wind from the west[2],0,0,1,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,106465.0,106894.0,106751.0,21,0,13,0,0,0,0,0,0,0,1,2,1,1,1,1,1,0,1,2,0,58.0,72.0,78.0,73.0,72.0 +28.0,19,15,0.0,59,,45.0,20.0,115890.0,157.338,stevens,28.0,British,manor,British,2015,13,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,+2 Laps,0.0,0.0,10.0,0.0,111021.0,111021.0,111021.0,33,24,Dry28–29 °C (82–84 °F) air temperature34–36 °C (93–97 °F) track temperature0.5 m/s (1.6 ft/s) wind from the west[2],0,0,1,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,111021.0,111021.0,111021.0,23,1,13,0,0,0,0,0,0,0,0,0,0,0,0,1,0,2,3,3,1,58.0,72.0,78.0,73.0,72.0 +5.0,1,1,25.0,61,7282118.0,53.0,2.0,110069.0,165.659,vettel,5.0,German,ferrari,Italian,2015,13,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,2.0,310.0,2.0,3.0,106017.0,104743.0,103885.0,37,28,Dry28–29 °C (82–84 °F) air temperature34–36 °C (93–97 °F) track temperature0.5 m/s (1.6 ft/s) wind from the west[2],0,0,1,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,103885.0,106017.0,104881.66666666669,20,8,152,8,2,4,1,2,0,0,0,0,0,0,1,0,0,0,0,0,0,152.0,88.0,78.0,87.0,84.0 +14.0,12,11,0.0,52,,45.0,16.0,99614.0,209.862,alonso,14.0,Spanish,mclaren,British,2015,14,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+1 Lap,0.0,17.0,9.0,0.0,95467.0,94785.0,94785.0,43,34,Partly cloudy27 °C (81 °F) air temperature52–54 °C (126–129 °F) track temperature4.5 m/s (15 ft/s) wind from the east[2],0,0,0,0,1,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,94785.0,95467.0,95012.33333333331,25,9,179,0,0,0,0,1,0,0,0,0,1,1,1,1,0,0,0,1,2,176.0,88.0,87.0,89.0,87.0 +77.0,3,5,10.0,53,5323254.0,41.0,8.0,98241.0,212.795,bottas,77.0,Finnish,williams,British,2015,14,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,208.0,3.0,0.0,94326.0,93416.0,93024.0,35,26,Partly cloudy27 °C (81 °F) air temperature52–54 °C (126–129 °F) track temperature4.5 m/s (15 ft/s) wind from the east[2],0,0,0,0,1,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,93024.0,94326.0,93588.66666666669,24,2,52,1,0,1,3,4,1,0,0,1,0,0,0,1,1,0,0,0,1,72.0,76.0,76.0,76.0,74.0 +22.0,14,16,0.0,52,,31.0,18.0,100121.0,208.799,button,22.0,British,mclaren,British,2015,14,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+1 Lap,0.0,17.0,9.0,0.0,95664.0,95664.0,95664.0,44,35,Partly cloudy27 °C (81 °F) air temperature52–54 °C (126–129 °F) track temperature4.5 m/s (15 ft/s) wind from the east[2],0,0,0,0,1,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,95664.0,95664.0,95664.0,26,9,180,0,0,0,0,0,0,0,1,1,0,1,0,0,3,0,2,2,0,176.0,88.0,87.0,89.0,87.0 +9.0,15,14,0.0,52,,28.0,15.0,99343.0,210.434,ericsson,9.0,Swedish,sauber,Swiss,2015,14,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+1 Lap,0.0,26.0,8.0,0.0,95673.0,95673.0,95673.0,34,25,Partly cloudy27 °C (81 °F) air temperature52–54 °C (126–129 °F) track temperature4.5 m/s (15 ft/s) wind from the east[2],0,0,0,0,1,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,95673.0,95673.0,95673.0,24,1,30,0,0,0,0,0,0,0,1,1,3,2,0,2,3,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,8,7,6.0,53,5358806.0,35.0,6.0,98167.0,212.955,grosjean,8.0,French,lotus_f1,British,2015,14,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,60.0,6.0,0.0,94398.0,94278.0,93967.0,38,29,Partly cloudy27 °C (81 °F) air temperature52–54 °C (126–129 °F) track temperature4.5 m/s (15 ft/s) wind from the east[2],0,0,0,0,1,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,93967.0,94398.0,94214.33333333331,23,6,78,1,0,1,0,0,0,3,1,0,1,1,1,1,1,1,0,1,0,74.0,75.0,75.0,72.0,71.0 +44.0,2,1,25.0,53,5286508.0,33.0,1.0,96145.0,217.434,hamilton,44.0,British,mercedes,German,2015,14,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,7.0,506.0,1.0,11.0,92844.0,92789.0,92660.0,39,30,Partly cloudy27 °C (81 °F) air temperature52–54 °C (126–129 °F) track temperature4.5 m/s (15 ft/s) wind from the east[2],0,0,0,0,1,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,92660.0,92844.0,92764.33333333331,22,8,162,11,3,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,158.0,89.0,81.0,86.0,84.0 +27.0,13,6,8.0,53,5342067.0,43.0,9.0,98331.0,212.6,hulkenberg,27.0,German,force_india,Indian,2015,14,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,77.0,5.0,0.0,95328.0,94390.0,94390.0,37,28,Partly cloudy27 °C (81 °F) air temperature52–54 °C (126–129 °F) track temperature4.5 m/s (15 ft/s) wind from the east[2],0,0,0,0,1,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,94390.0,95328.0,94702.66666666669,23,5,91,0,0,0,0,0,1,3,1,0,0,1,0,1,1,1,0,0,0,96.0,84.0,79.0,78.0,77.0 +26.0,20,13,0.0,52,,36.0,10.0,98366.0,212.524,kvyat,26.0,Russian,red_bull,Austrian,2015,14,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+1 Lap,0.0,139.0,4.0,0.0,94646.0,94201.0,94201.0,30,21,Partly cloudy27 °C (81 °F) air temperature52–54 °C (126–129 °F) track temperature4.5 m/s (15 ft/s) wind from the east[2],0,0,0,0,1,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,94201.0,94646.0,94349.33333333331,20,1,33,1,1,0,2,0,2,0,0,3,2,0,1,0,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +13.0,11,8,4.0,53,5360083.0,39.0,5.0,98136.0,213.022,maldonado,13.0,Venezuelan,lotus_f1,British,2015,14,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,60.0,6.0,0.0,94796.0,94497.0,94497.0,39,30,Partly cloudy27 °C (81 °F) air temperature52–54 °C (126–129 °F) track temperature4.5 m/s (15 ft/s) wind from the east[2],0,0,0,0,1,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,94497.0,94796.0,94596.66666666669,26,4,91,0,0,0,0,0,0,2,0,0,0,0,1,0,1,2,1,0,2,96.0,84.0,79.0,78.0,77.0 +19.0,5,17,0.0,51,,51.0,12.0,98595.0,212.031,massa,19.0,Brazilian,williams,British,2015,14,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+2 Laps,0.0,208.0,3.0,0.0,94744.0,93377.0,93337.0,43,34,Partly cloudy27 °C (81 °F) air temperature52–54 °C (126–129 °F) track temperature4.5 m/s (15 ft/s) wind from the east[2],0,0,0,0,1,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,93337.0,94744.0,93819.33333333331,25,9,173,2,0,2,2,1,4,0,0,0,1,0,1,0,0,1,0,0,0,176.0,88.0,87.0,89.0,87.0 +33.0,17,9,2.0,53,5381823.0,32.0,7.0,98237.0,212.803,max_verstappen,33.0,Dutch,toro_rosso,Italian,2015,14,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,44.0,7.0,0.0,94522.0,94522.0,94522.0,27,18,Partly cloudy27 °C (81 °F) air temperature52–54 °C (126–129 °F) track temperature4.5 m/s (15 ft/s) wind from the east[2],0,0,0,0,1,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,94522.0,94522.0,94522.0,18,0,14,0,0,0,1,0,0,1,3,0,0,1,1,1,0,1,1,1,2,58.0,72.0,78.0,73.0,72.0 +11.0,9,12,0.0,52,,50.0,11.0,98591.0,212.039,perez,11.0,Mexican,force_india,Indian,2015,14,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+1 Lap,0.0,77.0,5.0,0.0,95001.0,94174.0,94174.0,34,25,Partly cloudy27 °C (81 °F) air temperature52–54 °C (126–129 °F) track temperature4.5 m/s (15 ft/s) wind from the east[2],0,0,0,0,1,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,94174.0,95001.0,94449.66666666669,21,4,90,0,0,0,0,1,1,2,1,2,1,2,0,2,0,0,0,0,0,91.0,83.0,77.0,75.0,75.0 +7.0,6,4,12.0,53,5320276.0,32.0,4.0,98035.0,213.242,raikkonen,7.0,Finnish,ferrari,Italian,2015,14,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,337.0,2.0,3.0,94171.0,93361.0,93347.0,45,36,Partly cloudy27 °C (81 °F) air temperature52–54 °C (126–129 °F) track temperature4.5 m/s (15 ft/s) wind from the east[2],0,0,0,0,1,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,93347.0,94171.0,93626.33333333331,27,9,140,2,1,1,3,2,1,1,1,0,0,0,1,0,0,0,0,0,1,139.0,90.0,87.0,80.0,83.0 +3.0,7,15,0.0,52,,32.0,14.0,98898.0,211.381,ricciardo,3.0,Australian,red_bull,Austrian,2015,14,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+1 Lap,0.0,139.0,4.0,0.0,94399.0,94153.0,93497.0,35,26,Partly cloudy27 °C (81 °F) air temperature52–54 °C (126–129 °F) track temperature4.5 m/s (15 ft/s) wind from the east[2],0,0,0,0,1,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,93497.0,94399.0,94016.33333333331,22,4,83,2,1,1,0,1,2,1,1,1,2,0,0,1,0,1,0,0,1,77.0,76.0,76.0,70.0,71.0 +6.0,1,2,18.0,53,5305472.0,31.0,2.0,97147.0,215.191,rosberg,6.0,German,mercedes,German,2015,14,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,3.0,506.0,1.0,11.0,93015.0,92632.0,92584.0,39,30,Partly cloudy27 °C (81 °F) air temperature52–54 °C (126–129 °F) track temperature4.5 m/s (15 ft/s) wind from the east[2],0,0,0,0,1,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,92584.0,93015.0,92743.66666666669,21,9,180,10,5,2,1,0,0,0,1,0,0,0,0,0,0,0,0,1,0,176.0,88.0,87.0,89.0,87.0 +53.0,19,18,0.0,51,,35.0,20.0,101467.0,206.029,rossi,53.0,American,manor,British,2015,14,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+2 Laps,0.0,0.0,10.0,0.0,107114.0,107114.0,107114.0,33,24,Partly cloudy27 °C (81 °F) air temperature52–54 °C (126–129 °F) track temperature4.5 m/s (15 ft/s) wind from the east[2],0,0,0,0,1,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,107114.0,107114.0,107114.0,24,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +55.0,10,10,1.0,52,,16.0,13.0,98686.0,211.835,sainz,55.0,Spanish,toro_rosso,Italian,2015,14,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+1 Lap,0.0,44.0,7.0,0.0,94873.0,94453.0,94453.0,30,21,Partly cloudy27 °C (81 °F) air temperature52–54 °C (126–129 °F) track temperature4.5 m/s (15 ft/s) wind from the east[2],0,0,0,0,1,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,94453.0,94873.0,94593.0,21,0,14,0,0,0,0,0,0,0,1,3,1,1,1,1,1,0,1,2,0,58.0,72.0,78.0,73.0,72.0 +28.0,18,19,0.0,50,,44.0,19.0,101452.0,206.06,stevens,28.0,British,manor,British,2015,14,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+3 Laps,0.0,0.0,10.0,0.0,98783.0,98783.0,98783.0,33,24,Partly cloudy27 °C (81 °F) air temperature52–54 °C (126–129 °F) track temperature4.5 m/s (15 ft/s) wind from the east[2],0,0,0,0,1,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,98783.0,98783.0,98783.0,23,1,14,0,0,0,0,0,0,0,0,0,0,0,0,1,0,3,3,3,1,58.0,72.0,78.0,73.0,72.0 +5.0,4,3,15.0,53,5307358.0,32.0,3.0,97906.0,213.523,vettel,5.0,German,ferrari,Italian,2015,14,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,3.0,337.0,2.0,3.0,94431.0,93844.0,93245.0,37,28,Partly cloudy27 °C (81 °F) air temperature52–54 °C (126–129 °F) track temperature4.5 m/s (15 ft/s) wind from the east[2],0,0,0,0,1,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,93245.0,94431.0,93840.0,20,8,153,9,2,4,1,2,0,0,0,0,0,0,1,0,0,0,0,0,0,152.0,88.0,78.0,87.0,84.0 +14.0,19,11,0.0,53,5922234.0,29.0,12.0,102639.0,205.115,alonso,14.0,Spanish,mclaren,British,2015,15,Russian Grand Prix,39600000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,0.0,19.0,9.0,0.0,100144.0,100144.0,100144.0,43,34,Partly cloudy18 °C (64 °F) air temperature25–27 °C (77–81 °F) track temperature1.5 m/s (4.9 ft/s) wind from the north[2],0,0,0,0,1,Race circuit,Clockwise,5.848,53.0,309.745,100144.0,100144.0,100144.0,25,9,180,0,0,0,0,1,0,0,0,0,1,2,1,1,0,0,0,1,2,176.0,88.0,87.0,89.0,87.0 +22.0,13,9,2.0,53,5910491.0,53.0,13.0,103068.0,204.261,button,22.0,British,mclaren,British,2015,15,Russian Grand Prix,39600000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,0.0,19.0,9.0,0.0,99739.0,99763.0,99763.0,44,35,Partly cloudy18 °C (64 °F) air temperature25–27 °C (77–81 °F) track temperature1.5 m/s (4.9 ft/s) wind from the north[2],0,0,0,0,1,Race circuit,Clockwise,5.848,53.0,309.745,99739.0,99763.0,99755.0,26,9,181,0,0,0,0,0,0,0,1,1,0,1,0,0,3,0,3,2,0,179.0,87.0,90.0,88.0,87.0 +44.0,2,1,25.0,53,5831024.0,44.0,3.0,100573.0,209.328,hamilton,44.0,British,mercedes,German,2015,15,Russian Grand Prix,39600000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,8.0,531.0,1.0,12.0,98558.0,97672.0,97433.0,39,30,Partly cloudy18 °C (64 °F) air temperature25–27 °C (77–81 °F) track temperature1.5 m/s (4.9 ft/s) wind from the north[2],0,0,0,0,1,Race circuit,Clockwise,5.848,53.0,309.745,97433.0,98558.0,97887.66666666669,22,8,163,12,3,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,158.0,89.0,81.0,86.0,84.0 +26.0,11,5,10.0,53,5878590.0,,0.0,,,kvyat,26.0,Russian,red_bull,Austrian,2015,15,Russian Grand Prix,39600000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,0.0,149.0,4.0,0.0,99580.0,99214.0,99214.0,30,21,Partly cloudy18 °C (64 °F) air temperature25–27 °C (77–81 °F) track temperature1.5 m/s (4.9 ft/s) wind from the north[2],0,0,0,0,1,Race circuit,Clockwise,5.848,53.0,309.745,99214.0,99580.0,99336.0,20,1,34,1,1,0,2,0,2,0,0,3,2,0,1,1,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +13.0,14,7,6.0,53,5892112.0,52.0,7.0,101507.0,207.402,maldonado,13.0,Venezuelan,lotus_f1,British,2015,15,Russian Grand Prix,39600000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,0.0,66.0,6.0,0.0,99724.0,99811.0,99811.0,39,30,Partly cloudy18 °C (64 °F) air temperature25–27 °C (77–81 °F) track temperature1.5 m/s (4.9 ft/s) wind from the north[2],0,0,0,0,1,Race circuit,Clockwise,5.848,53.0,309.745,99724.0,99811.0,99782.0,26,4,92,0,0,0,0,0,0,2,1,0,0,0,1,0,1,2,1,0,2,96.0,84.0,79.0,78.0,77.0 +19.0,15,4,12.0,53,5869855.0,48.0,4.0,100881.0,208.689,massa,19.0,Brazilian,williams,British,2015,15,Russian Grand Prix,39600000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,0.0,220.0,3.0,0.0,98926.0,99895.0,99895.0,43,34,Partly cloudy18 °C (64 °F) air temperature25–27 °C (77–81 °F) track temperature1.5 m/s (4.9 ft/s) wind from the north[2],0,0,0,0,1,Race circuit,Clockwise,5.848,53.0,309.745,98926.0,99895.0,99572.0,25,9,174,2,0,2,2,1,4,0,0,0,1,0,1,0,0,1,0,1,0,176.0,88.0,87.0,89.0,87.0 +33.0,9,10,1.0,53,5919448.0,45.0,15.0,103265.0,203.871,max_verstappen,33.0,Dutch,toro_rosso,Italian,2015,15,Russian Grand Prix,39600000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,0.0,45.0,7.0,0.0,99411.0,99119.0,98924.0,27,18,Partly cloudy18 °C (64 °F) air temperature25–27 °C (77–81 °F) track temperature1.5 m/s (4.9 ft/s) wind from the north[2],0,0,0,0,1,Race circuit,Clockwise,5.848,53.0,309.745,98924.0,99411.0,99151.33333333331,18,0,15,0,0,0,1,0,0,1,3,1,0,1,1,1,0,1,1,1,2,58.0,72.0,78.0,73.0,72.0 +98.0,18,13,0.0,52,,50.0,17.0,105049.0,200.409,merhi,98.0,Spanish,manor,British,2015,15,Russian Grand Prix,39600000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,+1 Lap,0.0,0.0,10.0,0.0,100660.0,100660.0,100660.0,33,24,Partly cloudy18 °C (64 °F) air temperature25–27 °C (77–81 °F) track temperature1.5 m/s (4.9 ft/s) wind from the north[2],0,0,0,0,1,Race circuit,Clockwise,5.848,53.0,309.745,100660.0,100660.0,100660.0,24,0,12,0,0,0,0,0,0,0,0,0,0,0,1,0,1,3,3,1,2,58.0,72.0,78.0,73.0,72.0 +12.0,12,6,8.0,53,5887532.0,52.0,6.0,101372.0,207.678,nasr,12.0,Brazilian,sauber,Swiss,2015,15,Russian Grand Prix,39600000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,0.0,34.0,8.0,0.0,100042.0,99323.0,99323.0,32,23,Partly cloudy18 °C (64 °F) air temperature25–27 °C (77–81 °F) track temperature1.5 m/s (4.9 ft/s) wind from the north[2],0,0,0,0,1,Race circuit,Clockwise,5.848,53.0,309.745,99323.0,100042.0,99562.66666666669,23,0,15,0,0,0,0,1,0,0,1,1,1,3,3,1,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,7,3,15.0,53,5859942.0,48.0,9.0,101772.0,206.862,perez,11.0,Mexican,force_india,Indian,2015,15,Russian Grand Prix,39600000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,0.0,92.0,5.0,0.0,99617.0,98914.0,98691.0,34,25,Partly cloudy18 °C (64 °F) air temperature25–27 °C (77–81 °F) track temperature1.5 m/s (4.9 ft/s) wind from the north[2],0,0,0,0,1,Race circuit,Clockwise,5.848,53.0,309.745,98691.0,99617.0,99074.0,21,4,91,0,0,0,0,1,1,2,1,2,1,2,1,2,0,0,0,0,0,96.0,84.0,79.0,78.0,77.0 +7.0,5,8,4.0,53,5903382.0,48.0,2.0,100294.0,209.91,raikkonen,7.0,Finnish,ferrari,Italian,2015,15,Russian Grand Prix,39600000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,0.0,359.0,2.0,3.0,99207.0,98224.0,98348.0,45,36,Partly cloudy18 °C (64 °F) air temperature25–27 °C (77–81 °F) track temperature1.5 m/s (4.9 ft/s) wind from the north[2],0,0,0,0,1,Race circuit,Clockwise,5.848,53.0,309.745,98224.0,99207.0,98593.0,27,9,141,2,1,1,4,2,1,1,1,0,0,0,1,0,0,0,0,0,1,141.0,89.0,85.0,83.0,83.0 +28.0,17,14,0.0,51,,50.0,16.0,104926.0,200.644,stevens,28.0,British,manor,British,2015,15,Russian Grand Prix,39600000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,+2 Laps,0.0,0.0,10.0,0.0,100660.0,100660.0,100660.0,33,24,Partly cloudy18 °C (64 °F) air temperature25–27 °C (77–81 °F) track temperature1.5 m/s (4.9 ft/s) wind from the north[2],0,0,0,0,1,Race circuit,Clockwise,5.848,53.0,309.745,100660.0,100660.0,100660.0,23,1,15,0,0,0,0,0,0,0,0,0,0,0,0,1,0,3,3,3,1,58.0,72.0,78.0,73.0,72.0 +5.0,4,2,18.0,53,5836977.0,51.0,1.0,100071.0,210.378,vettel,5.0,German,ferrari,Italian,2015,15,Russian Grand Prix,39600000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,3.0,359.0,2.0,3.0,98598.0,98402.0,97965.0,37,28,Partly cloudy18 °C (64 °F) air temperature25–27 °C (77–81 °F) track temperature1.5 m/s (4.9 ft/s) wind from the north[2],0,0,0,0,1,Race circuit,Clockwise,5.848,53.0,309.745,97965.0,98598.0,98321.66666666669,20,8,154,10,2,5,1,2,0,0,0,0,0,0,1,0,0,0,0,0,0,152.0,88.0,78.0,87.0,84.0 +14.0,9,11,0.0,56,6707519.0,55.0,11.0,104323.0,190.243,alonso,14.0,Spanish,mclaren,British,2015,16,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,0.0,27.0,9.0,0.0,119704.0,120265.0,120265.0,43,34,Very cloudy17 °C (63 °F) air temperature17–20 °C (63–68 °F) track temperature8 m/s (26 ft/s) wind from the south[2],0,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,119704.0,120265.0,120078.0,25,9,181,0,0,0,0,1,0,0,0,0,1,3,1,1,0,0,0,1,2,179.0,87.0,90.0,88.0,87.0 +22.0,11,6,8.0,56,6680761.0,50.0,8.0,103026.0,192.638,button,22.0,British,mclaren,British,2015,16,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,0.0,27.0,9.0,0.0,120261.0,121193.0,121193.0,44,35,Very cloudy17 °C (63 °F) air temperature17–20 °C (63–68 °F) track temperature8 m/s (26 ft/s) wind from the south[2],0,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,120261.0,121193.0,120882.33333333331,26,9,182,0,0,0,0,0,0,0,1,2,0,1,0,0,3,0,3,2,0,179.0,87.0,90.0,88.0,87.0 +44.0,2,1,25.0,56,6652703.0,48.0,2.0,100738.0,197.014,hamilton,44.0,British,mercedes,German,2015,16,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,9.0,574.0,1.0,13.0,116871.0,116929.0,116929.0,39,30,Very cloudy17 °C (63 °F) air temperature17–20 °C (63–68 °F) track temperature8 m/s (26 ft/s) wind from the south[2],0,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,116871.0,116929.0,116909.66666666669,22,8,164,13,3,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,162.0,86.0,81.0,84.0,83.0 +13.0,12,8,4.0,56,6684976.0,51.0,6.0,102849.0,192.97,maldonado,13.0,Venezuelan,lotus_f1,British,2015,16,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,0.0,70.0,6.0,0.0,120844.0,121604.0,121604.0,39,30,Very cloudy17 °C (63 °F) air temperature17–20 °C (63–68 °F) track temperature8 m/s (26 ft/s) wind from the south[2],0,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,120844.0,121604.0,121350.66666666669,26,4,93,0,0,0,0,0,0,3,1,0,0,0,1,0,1,2,1,0,2,96.0,84.0,79.0,78.0,77.0 +33.0,8,4,12.0,56,6675062.0,51.0,9.0,103172.0,192.366,max_verstappen,33.0,Dutch,toro_rosso,Italian,2015,16,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,0.0,63.0,7.0,0.0,118689.0,120199.0,120199.0,27,18,Very cloudy17 °C (63 °F) air temperature17–20 °C (63–68 °F) track temperature8 m/s (26 ft/s) wind from the south[2],0,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,118689.0,120199.0,119695.66666666669,18,0,16,0,0,0,1,0,0,1,3,1,1,1,1,1,0,1,1,1,2,58.0,72.0,78.0,73.0,72.0 +12.0,15,9,2.0,56,6692960.0,54.0,12.0,104407.0,190.09,nasr,12.0,Brazilian,sauber,Swiss,2015,16,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,0.0,36.0,8.0,0.0,123194.0,123194.0,123194.0,32,23,Very cloudy17 °C (63 °F) air temperature17–20 °C (63–68 °F) track temperature8 m/s (26 ft/s) wind from the south[2],0,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,123194.0,123194.0,123194.0,23,0,16,0,0,0,0,1,1,0,1,1,1,3,3,1,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,5,5,10.0,56,6677116.0,54.0,7.0,103010.0,192.668,perez,11.0,Mexican,force_india,Indian,2015,16,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,0.0,102.0,5.0,0.0,119264.0,119210.0,119210.0,34,25,Very cloudy17 °C (63 °F) air temperature17–20 °C (63–68 °F) track temperature8 m/s (26 ft/s) wind from the south[2],0,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,119210.0,119264.0,119228.0,21,4,92,1,0,1,0,1,1,2,1,2,1,2,1,2,0,0,0,0,0,96.0,84.0,79.0,78.0,77.0 +3.0,3,10,1.0,56,6706074.0,53.0,4.0,101980.0,194.614,ricciardo,3.0,Australian,red_bull,Austrian,2015,16,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,0.0,150.0,4.0,0.0,116495.0,117969.0,117969.0,35,26,Very cloudy17 °C (63 °F) air temperature17–20 °C (63–68 °F) track temperature8 m/s (26 ft/s) wind from the south[2],0,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,116495.0,117969.0,117477.66666666669,22,4,85,2,1,1,0,1,2,1,1,1,2,0,0,1,0,3,0,0,1,77.0,76.0,76.0,70.0,71.0 +6.0,1,2,18.0,56,6655553.0,49.0,1.0,100666.0,197.154,rosberg,6.0,German,mercedes,German,2015,16,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,3.0,574.0,1.0,13.0,116671.0,116824.0,116824.0,39,30,Very cloudy17 °C (63 °F) air temperature17–20 °C (63–68 °F) track temperature8 m/s (26 ft/s) wind from the south[2],0,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,116671.0,116824.0,116773.0,21,9,182,11,6,2,1,0,0,0,1,0,0,0,0,0,0,0,0,1,1,179.0,87.0,90.0,88.0,87.0 +53.0,17,12,0.0,56,6727980.0,50.0,16.0,108173.0,183.472,rossi,53.0,American,manor,British,2015,16,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,0.0,0.0,10.0,0.0,127304.0,127304.0,127304.0,33,24,Very cloudy17 °C (63 °F) air temperature17–20 °C (63–68 °F) track temperature8 m/s (26 ft/s) wind from the south[2],0,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,127304.0,127304.0,127304.0,24,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +55.0,20,7,6.0,56,6683322.0,51.0,5.0,102660.0,193.325,sainz,55.0,Spanish,toro_rosso,Italian,2015,16,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,0.0,63.0,7.0,0.0,127304.0,127304.0,127304.0,30,21,Very cloudy17 °C (63 °F) air temperature17–20 °C (63–68 °F) track temperature8 m/s (26 ft/s) wind from the south[2],0,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,127304.0,127304.0,127304.0,21,0,16,0,0,0,0,0,0,0,1,3,2,1,1,1,1,0,2,2,0,58.0,72.0,78.0,73.0,72.0 +5.0,13,3,15.0,56,6656084.0,52.0,3.0,101330.0,195.863,vettel,5.0,German,ferrari,Italian,2015,16,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,3.0,374.0,2.0,3.0,120950.0,118596.0,118596.0,37,28,Very cloudy17 °C (63 °F) air temperature17–20 °C (63–68 °F) track temperature8 m/s (26 ft/s) wind from the south[2],0,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,118596.0,120950.0,119380.66666666669,20,8,155,11,3,5,1,2,0,0,0,0,0,0,1,0,0,0,0,0,0,157.0,91.0,83.0,88.0,87.0 +77.0,6,3,15.0,71,6169630.0,68.0,4.0,81585.0,189.917,bottas,77.0,Finnish,williams,British,2015,17,Mexican Grand Prix,68400000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,Finished,0.0,243.0,3.0,0.0,80817.0,80458.0,80448.0,35,26,Partly cloudy22–24 °C (72–75 °F) air temperature48–56 °C (118–133 °F) track temperature1.5 m/s (4.9 ft/s) wind from the northwest[2],0,0,0,0,1,Race circuit,Clockwise,4.304,71.0,305.354,80448.0,80817.0,80574.33333333333,24,2,55,1,0,1,3,5,1,0,0,1,0,0,1,1,1,0,0,0,1,72.0,76.0,76.0,76.0,74.0 +22.0,20,14,0.0,71,6204252.0,49.0,15.0,83006.0,186.666,button,22.0,British,mclaren,British,2015,17,Mexican Grand Prix,68400000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,Finished,0.0,27.0,9.0,0.0,81788.0,81788.0,81788.0,44,35,Partly cloudy22–24 °C (72–75 °F) air temperature48–56 °C (118–133 °F) track temperature1.5 m/s (4.9 ft/s) wind from the northwest[2],0,0,0,0,1,Race circuit,Clockwise,4.304,71.0,305.354,81788.0,81788.0,81788.0,26,9,183,0,0,0,0,0,1,0,1,2,0,1,0,0,3,0,3,2,0,183.0,90.0,89.0,91.0,90.0 +9.0,14,12,0.0,71,6195218.0,62.0,11.0,82716.0,187.32,ericsson,9.0,Swedish,sauber,Swiss,2015,17,Mexican Grand Prix,68400000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,Finished,0.0,36.0,8.0,0.0,81299.0,81544.0,81544.0,34,25,Partly cloudy22–24 °C (72–75 °F) air temperature48–56 °C (118–133 °F) track temperature1.5 m/s (4.9 ft/s) wind from the northwest[2],0,0,0,0,1,Race circuit,Clockwise,4.304,71.0,305.354,81299.0,81544.0,81462.33333333333,24,1,33,0,0,0,0,0,0,0,1,1,3,2,0,2,4,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,12,10,1.0,71,6192972.0,69.0,13.0,82893.0,186.92,grosjean,8.0,French,lotus_f1,British,2015,17,Mexican Grand Prix,68400000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,Finished,0.0,71.0,6.0,0.0,81577.0,81038.0,81038.0,38,29,Partly cloudy22–24 °C (72–75 °F) air temperature48–56 °C (118–133 °F) track temperature1.5 m/s (4.9 ft/s) wind from the northwest[2],0,0,0,0,1,Race circuit,Clockwise,4.304,71.0,305.354,81038.0,81577.0,81217.66666666667,23,6,81,1,0,1,0,0,0,4,1,0,1,1,1,1,1,1,0,2,1,77.0,76.0,76.0,70.0,71.0 +44.0,2,2,18.0,71,6156992.0,67.0,2.0,80723.0,191.945,hamilton,44.0,British,mercedes,German,2015,17,Mexican Grand Prix,68400000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,Finished,10.0,617.0,1.0,14.0,80808.0,79829.0,79668.0,39,30,Partly cloudy22–24 °C (72–75 °F) air temperature48–56 °C (118–133 °F) track temperature1.5 m/s (4.9 ft/s) wind from the northwest[2],0,0,0,0,1,Race circuit,Clockwise,4.304,71.0,305.354,79668.0,80808.0,80101.66666666667,22,8,165,14,3,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,162.0,86.0,81.0,84.0,83.0 +27.0,10,7,6.0,71,6180898.0,69.0,9.0,82391.0,188.059,hulkenberg,27.0,German,force_india,Indian,2015,17,Mexican Grand Prix,68400000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,Finished,0.0,112.0,5.0,0.0,81315.0,80935.0,80788.0,37,28,Partly cloudy22–24 °C (72–75 °F) air temperature48–56 °C (118–133 °F) track temperature1.5 m/s (4.9 ft/s) wind from the northwest[2],0,0,0,0,1,Race circuit,Clockwise,4.304,71.0,305.354,80788.0,81315.0,81012.66666666667,23,5,94,0,0,0,0,0,2,3,1,0,0,1,0,1,2,1,0,0,0,96.0,84.0,79.0,78.0,77.0 +26.0,4,4,12.0,71,6171610.0,69.0,3.0,81549.0,190.001,kvyat,26.0,Russian,red_bull,Austrian,2015,17,Mexican Grand Prix,68400000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,Finished,0.0,172.0,4.0,0.0,80826.0,80490.0,80398.0,30,21,Partly cloudy22–24 °C (72–75 °F) air temperature48–56 °C (118–133 °F) track temperature1.5 m/s (4.9 ft/s) wind from the northwest[2],0,0,0,0,1,Race circuit,Clockwise,4.304,71.0,305.354,80398.0,80826.0,80571.33333333333,20,1,36,1,1,0,2,1,2,0,0,3,2,0,1,2,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +13.0,13,11,0.0,71,6193576.0,70.0,14.0,82963.0,186.762,maldonado,13.0,Venezuelan,lotus_f1,British,2015,17,Mexican Grand Prix,68400000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,Finished,0.0,71.0,6.0,0.0,81520.0,81261.0,81261.0,39,30,Partly cloudy22–24 °C (72–75 °F) air temperature48–56 °C (118–133 °F) track temperature1.5 m/s (4.9 ft/s) wind from the northwest[2],0,0,0,0,1,Race circuit,Clockwise,4.304,71.0,305.354,81261.0,81520.0,81347.33333333333,26,4,94,0,0,0,0,0,0,3,2,0,0,0,1,0,1,2,1,0,2,96.0,84.0,79.0,78.0,77.0 +19.0,7,6,8.0,71,6176531.0,71.0,7.0,82009.0,188.935,massa,19.0,Brazilian,williams,British,2015,17,Mexican Grand Prix,68400000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,Finished,0.0,243.0,3.0,0.0,81379.0,80642.0,80567.0,43,34,Partly cloudy22–24 °C (72–75 °F) air temperature48–56 °C (118–133 °F) track temperature1.5 m/s (4.9 ft/s) wind from the northwest[2],0,0,0,0,1,Race circuit,Clockwise,4.304,71.0,305.354,80567.0,81379.0,80862.66666666667,25,9,176,2,0,2,3,1,4,0,0,0,1,0,1,0,0,1,0,2,0,176.0,88.0,87.0,89.0,87.0 +33.0,8,9,2.0,71,6190267.0,70.0,10.0,82603.0,187.576,max_verstappen,33.0,Dutch,toro_rosso,Italian,2015,17,Mexican Grand Prix,68400000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,Finished,0.0,65.0,7.0,0.0,80995.0,80894.0,80710.0,27,18,Partly cloudy22–24 °C (72–75 °F) air temperature48–56 °C (118–133 °F) track temperature1.5 m/s (4.9 ft/s) wind from the northwest[2],0,0,0,0,1,Race circuit,Clockwise,4.304,71.0,305.354,80710.0,80995.0,80866.33333333333,18,0,17,0,0,0,2,0,0,1,3,1,1,1,1,1,0,1,1,1,2,58.0,72.0,78.0,73.0,72.0 +11.0,9,8,4.0,71,6189381.0,51.0,12.0,82757.0,187.227,perez,11.0,Mexican,force_india,Indian,2015,17,Mexican Grand Prix,68400000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,Finished,0.0,112.0,5.0,0.0,80966.0,80669.0,80716.0,34,25,Partly cloudy22–24 °C (72–75 °F) air temperature48–56 °C (118–133 °F) track temperature1.5 m/s (4.9 ft/s) wind from the northwest[2],0,0,0,0,1,Race circuit,Clockwise,4.304,71.0,305.354,80669.0,80966.0,80783.66666666667,21,4,93,1,0,1,0,2,1,2,1,2,1,2,1,2,0,0,0,0,0,96.0,84.0,79.0,78.0,77.0 +3.0,5,5,10.0,71,6174720.0,70.0,5.0,81625.0,189.824,ricciardo,3.0,Australian,red_bull,Austrian,2015,17,Mexican Grand Prix,68400000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,Finished,0.0,172.0,4.0,0.0,81166.0,80783.0,80399.0,35,26,Partly cloudy22–24 °C (72–75 °F) air temperature48–56 °C (118–133 °F) track temperature1.5 m/s (4.9 ft/s) wind from the northwest[2],0,0,0,0,1,Race circuit,Clockwise,4.304,71.0,305.354,80399.0,81166.0,80782.66666666667,22,4,86,2,1,1,0,1,2,1,1,1,3,0,0,1,0,3,0,0,1,91.0,83.0,77.0,75.0,75.0 +6.0,1,1,25.0,71,6155038.0,67.0,1.0,80521.0,192.426,rosberg,6.0,German,mercedes,German,2015,17,Mexican Grand Prix,68400000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,Finished,3.0,617.0,1.0,14.0,80436.0,80053.0,79480.0,39,30,Partly cloudy22–24 °C (72–75 °F) air temperature48–56 °C (118–133 °F) track temperature1.5 m/s (4.9 ft/s) wind from the northwest[2],0,0,0,0,1,Race circuit,Clockwise,4.304,71.0,305.354,79480.0,80436.0,79989.66666666667,21,9,183,12,7,2,1,0,0,0,1,0,0,0,0,0,0,0,0,1,1,183.0,90.0,89.0,91.0,90.0 +53.0,16,15,0.0,69,,69.0,18.0,85005.0,182.276,rossi,53.0,American,manor,British,2015,17,Mexican Grand Prix,68400000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,+2 Laps,0.0,0.0,10.0,0.0,81788.0,81788.0,81788.0,33,24,Partly cloudy22–24 °C (72–75 °F) air temperature48–56 °C (118–133 °F) track temperature1.5 m/s (4.9 ft/s) wind from the northwest[2],0,0,0,0,1,Race circuit,Clockwise,4.304,71.0,305.354,81788.0,81788.0,81788.0,24,0,4,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +55.0,11,13,0.0,71,6203810.0,46.0,8.0,82172.0,188.56,sainz,55.0,Spanish,toro_rosso,Italian,2015,17,Mexican Grand Prix,68400000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,Finished,0.0,65.0,7.0,0.0,80960.0,80942.0,80942.0,30,21,Partly cloudy22–24 °C (72–75 °F) air temperature48–56 °C (118–133 °F) track temperature1.5 m/s (4.9 ft/s) wind from the northwest[2],0,0,0,0,1,Race circuit,Clockwise,4.304,71.0,305.354,80942.0,80960.0,80948.0,21,0,17,0,0,0,0,0,0,1,1,3,2,1,1,1,1,0,2,2,0,58.0,72.0,78.0,73.0,72.0 +28.0,17,16,0.0,69,,67.0,19.0,85540.0,181.136,stevens,28.0,British,manor,British,2015,17,Mexican Grand Prix,68400000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,+2 Laps,0.0,0.0,10.0,0.0,81788.0,81788.0,81788.0,33,24,Partly cloudy22–24 °C (72–75 °F) air temperature48–56 °C (118–133 °F) track temperature1.5 m/s (4.9 ft/s) wind from the northwest[2],0,0,0,0,1,Race circuit,Clockwise,4.304,71.0,305.354,81788.0,81788.0,81788.0,23,1,17,0,0,0,0,0,0,0,0,0,0,0,0,1,1,3,3,3,1,58.0,72.0,78.0,73.0,72.0 +14.0,20,15,0.0,70,,54.0,15.0,76519.0,202.726,alonso,14.0,Spanish,mclaren,British,2015,18,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,27.0,9.0,0.0,73425.0,73425.0,73425.0,43,34,Dry22–28 °C (72–82 °F) air temperature38–48 °C (100–118 °F) track temperature2.5 m/s (8.2 ft/s) wind from the north[2],0,0,1,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,73425.0,73425.0,73425.0,25,9,183,0,0,0,0,1,0,0,0,0,1,4,1,1,0,0,0,1,2,183.0,90.0,89.0,91.0,90.0 +77.0,7,5,10.0,70,,61.0,10.0,76039.0,204.005,bottas,77.0,Finnish,williams,British,2015,18,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,253.0,3.0,0.0,72934.0,72374.0,72085.0,35,26,Dry22–28 °C (72–82 °F) air temperature38–48 °C (100–118 °F) track temperature2.5 m/s (8.2 ft/s) wind from the north[2],0,0,1,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,72085.0,72934.0,72464.33333333333,24,2,56,2,0,2,3,5,1,0,0,1,0,0,1,1,1,0,0,0,1,72.0,76.0,76.0,76.0,74.0 +22.0,16,14,0.0,70,,53.0,12.0,76321.0,203.252,button,22.0,British,mclaren,British,2015,18,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,27.0,9.0,0.0,73425.0,73425.0,73425.0,44,35,Dry22–28 °C (72–82 °F) air temperature38–48 °C (100–118 °F) track temperature2.5 m/s (8.2 ft/s) wind from the north[2],0,0,1,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,73425.0,73425.0,73425.0,26,9,184,0,0,0,0,0,1,0,1,2,0,1,0,0,4,0,3,2,0,183.0,90.0,89.0,91.0,90.0 +9.0,12,16,0.0,69,,57.0,7.0,75789.0,204.678,ericsson,9.0,Swedish,sauber,Swiss,2015,18,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+2 Laps,0.0,36.0,8.0,0.0,73346.0,73233.0,73233.0,34,25,Dry22–28 °C (72–82 °F) air temperature38–48 °C (100–118 °F) track temperature2.5 m/s (8.2 ft/s) wind from the north[2],0,0,1,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,73233.0,73346.0,73270.66666666667,24,1,34,0,0,0,0,0,0,0,1,1,3,2,1,2,4,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,14,8,4.0,70,,57.0,5.0,75739.0,204.813,grosjean,8.0,French,lotus_f1,British,2015,18,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,76.0,6.0,0.0,73056.0,73913.0,73913.0,38,29,Dry22–28 °C (72–82 °F) air temperature38–48 °C (100–118 °F) track temperature2.5 m/s (8.2 ft/s) wind from the north[2],0,0,1,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,73056.0,73913.0,73627.33333333333,23,6,82,1,0,1,0,0,0,4,1,0,2,1,1,1,1,1,0,2,1,77.0,76.0,76.0,70.0,71.0 +44.0,2,2,18.0,71,5476846.0,51.0,1.0,74832.0,207.296,hamilton,44.0,British,mercedes,German,2015,18,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,10.0,660.0,1.0,15.0,71682.0,71665.0,71360.0,39,30,Dry22–28 °C (72–82 °F) air temperature38–48 °C (100–118 °F) track temperature2.5 m/s (8.2 ft/s) wind from the north[2],0,0,1,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,71360.0,71682.0,71569.0,22,8,166,15,4,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,165.0,89.0,83.0,87.0,85.0 +27.0,5,6,8.0,70,,66.0,16.0,76774.0,202.052,hulkenberg,27.0,German,force_india,Indian,2015,18,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,120.0,5.0,0.0,72595.0,72485.0,72265.0,37,28,Dry22–28 °C (72–82 °F) air temperature38–48 °C (100–118 °F) track temperature2.5 m/s (8.2 ft/s) wind from the north[2],0,0,1,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,72265.0,72595.0,72448.33333333333,23,5,95,0,0,0,0,0,2,4,1,0,0,1,0,1,2,1,0,0,0,96.0,84.0,79.0,78.0,77.0 +26.0,6,7,6.0,70,,41.0,14.0,76500.0,202.776,kvyat,26.0,Russian,red_bull,Austrian,2015,18,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,178.0,4.0,0.0,72730.0,72527.0,72322.0,30,21,Dry22–28 °C (72–82 °F) air temperature38–48 °C (100–118 °F) track temperature2.5 m/s (8.2 ft/s) wind from the north[2],0,0,1,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,72322.0,72730.0,72526.33333333333,20,1,37,1,1,0,3,1,2,0,0,3,2,0,1,2,0,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +13.0,15,10,1.0,70,,63.0,13.0,76354.0,203.164,maldonado,13.0,Venezuelan,lotus_f1,British,2015,18,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,76.0,6.0,0.0,73385.0,73385.0,73385.0,39,30,Dry22–28 °C (72–82 °F) air temperature38–48 °C (100–118 °F) track temperature2.5 m/s (8.2 ft/s) wind from the north[2],0,0,1,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,73385.0,73385.0,73385.0,26,4,95,0,0,0,0,0,0,3,2,0,0,1,1,0,1,2,1,0,2,96.0,84.0,79.0,78.0,77.0 +33.0,9,9,2.0,70,,56.0,9.0,75972.0,204.185,max_verstappen,33.0,Dutch,toro_rosso,Italian,2015,18,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,67.0,7.0,0.0,72824.0,72712.0,72739.0,27,18,Dry22–28 °C (72–82 °F) air temperature38–48 °C (100–118 °F) track temperature2.5 m/s (8.2 ft/s) wind from the north[2],0,0,1,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,72712.0,72824.0,72758.33333333333,18,0,18,0,0,0,2,0,0,1,3,2,1,1,1,1,0,1,1,1,2,58.0,72.0,78.0,73.0,72.0 +12.0,13,13,0.0,70,,41.0,17.0,76794.0,202.0,nasr,12.0,Brazilian,sauber,Swiss,2015,18,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,36.0,8.0,0.0,73111.0,72989.0,72989.0,32,23,Dry22–28 °C (72–82 °F) air temperature38–48 °C (100–118 °F) track temperature2.5 m/s (8.2 ft/s) wind from the north[2],0,0,1,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,72989.0,73111.0,73029.66666666667,23,0,18,0,0,0,0,1,1,0,1,2,1,3,3,1,0,0,1,1,0,58.0,72.0,78.0,73.0,72.0 +11.0,11,12,0.0,70,,53.0,8.0,75970.0,204.191,perez,11.0,Mexican,force_india,Indian,2015,18,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,120.0,5.0,0.0,73140.0,73147.0,73147.0,34,25,Dry22–28 °C (72–82 °F) air temperature38–48 °C (100–118 °F) track temperature2.5 m/s (8.2 ft/s) wind from the north[2],0,0,1,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,73140.0,73147.0,73144.66666666667,21,4,94,1,0,1,0,2,1,2,2,2,1,2,1,2,0,0,0,0,0,96.0,84.0,79.0,78.0,77.0 +7.0,4,4,12.0,71,5516633.0,48.0,4.0,75416.0,205.691,raikkonen,7.0,Finnish,ferrari,Italian,2015,18,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,401.0,2.0,3.0,72185.0,72243.0,72144.0,45,36,Dry22–28 °C (72–82 °F) air temperature38–48 °C (100–118 °F) track temperature2.5 m/s (8.2 ft/s) wind from the north[2],0,0,1,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,72144.0,72243.0,72190.66666666667,27,9,144,2,1,1,4,2,1,1,2,0,0,0,1,0,0,0,1,0,1,147.0,88.0,80.0,84.0,83.0 +3.0,19,11,0.0,70,,56.0,11.0,76313.0,203.273,ricciardo,3.0,Australian,red_bull,Austrian,2015,18,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,178.0,4.0,0.0,72639.0,72825.0,72417.0,35,26,Dry22–28 °C (72–82 °F) air temperature38–48 °C (100–118 °F) track temperature2.5 m/s (8.2 ft/s) wind from the north[2],0,0,1,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,72417.0,72825.0,72627.0,22,4,87,2,1,1,0,2,2,1,1,1,3,0,0,1,0,3,0,0,1,91.0,83.0,77.0,75.0,75.0 +6.0,1,1,25.0,71,5469090.0,57.0,2.0,74957.0,206.95,rosberg,6.0,German,mercedes,German,2015,18,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,4.0,660.0,1.0,15.0,71746.0,72213.0,71282.0,39,30,Dry22–28 °C (72–82 °F) air temperature38–48 °C (100–118 °F) track temperature2.5 m/s (8.2 ft/s) wind from the north[2],0,0,1,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,71282.0,72213.0,71747.0,21,9,184,13,7,2,1,0,0,0,1,0,0,0,0,0,0,0,0,1,1,183.0,90.0,89.0,91.0,90.0 +53.0,17,18,0.0,67,,43.0,18.0,78617.0,197.316,rossi,53.0,American,manor,British,2015,18,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+4 Laps,0.0,0.0,10.0,0.0,73425.0,73425.0,73425.0,33,24,Dry22–28 °C (72–82 °F) air temperature38–48 °C (100–118 °F) track temperature2.5 m/s (8.2 ft/s) wind from the north[2],0,0,1,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,73425.0,73425.0,73425.0,24,0,5,0,0,0,0,0,0,0,0,0,0,0,1,0,1,1,0,0,1,58.0,72.0,78.0,73.0,72.0 +28.0,18,17,0.0,67,,42.0,19.0,79098.0,196.116,stevens,28.0,British,manor,British,2015,18,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+4 Laps,0.0,0.0,10.0,0.0,73425.0,73425.0,73425.0,33,24,Dry22–28 °C (72–82 °F) air temperature38–48 °C (100–118 °F) track temperature2.5 m/s (8.2 ft/s) wind from the north[2],0,0,1,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,73425.0,73425.0,73425.0,23,1,18,0,0,0,0,0,0,0,0,0,0,0,0,1,1,3,4,3,1,58.0,72.0,78.0,73.0,72.0 +5.0,3,3,15.0,71,5483334.0,57.0,3.0,75046.0,206.705,vettel,5.0,German,ferrari,Italian,2015,18,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,3.0,401.0,2.0,3.0,72240.0,71928.0,71804.0,37,28,Dry22–28 °C (72–82 °F) air temperature38–48 °C (100–118 °F) track temperature2.5 m/s (8.2 ft/s) wind from the north[2],0,0,1,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,71804.0,72240.0,71990.66666666667,20,8,157,12,3,6,1,2,0,0,0,0,0,0,1,0,0,0,0,0,1,158.0,89.0,81.0,86.0,84.0 +14.0,16,17,0.0,53,,52.0,3.0,104796.0,190.793,alonso,14.0,Spanish,mclaren,British,2015,19,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+2 Laps,0.0,27.0,9.0,0.0,103187.0,103187.0,103187.0,43,34,Clear25–27 °C (77–81 °F) air temperature28–29 °C (82–84 °F) track temperature1.5 m/s (4.9 ft/s) wind from the south[3],1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,103187.0,103187.0,103187.0,25,9,184,0,0,0,0,1,0,0,0,0,1,4,1,1,0,1,0,1,2,183.0,90.0,89.0,91.0,90.0 +77.0,6,13,0.0,54,,45.0,11.0,106464.0,187.804,bottas,77.0,Finnish,williams,British,2015,19,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,257.0,3.0,0.0,102608.0,101868.0,101656.0,35,26,Clear25–27 °C (77–81 °F) air temperature28–29 °C (82–84 °F) track temperature1.5 m/s (4.9 ft/s) wind from the south[3],1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,101656.0,102608.0,102044.0,24,2,57,2,0,2,3,6,1,0,0,1,0,0,1,1,1,0,0,0,1,72.0,76.0,76.0,76.0,74.0 +22.0,12,12,0.0,54,,29.0,17.0,107509.0,185.978,button,22.0,British,mclaren,British,2015,19,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,27.0,9.0,0.0,102570.0,102668.0,102668.0,44,35,Clear25–27 °C (77–81 °F) air temperature28–29 °C (82–84 °F) track temperature1.5 m/s (4.9 ft/s) wind from the south[3],1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,102570.0,102668.0,102635.33333333331,26,9,185,0,0,0,0,0,1,0,1,2,0,1,0,0,5,0,3,2,0,183.0,90.0,89.0,91.0,90.0 +9.0,17,14,0.0,54,,48.0,12.0,106517.0,187.71,ericsson,9.0,Swedish,sauber,Swiss,2015,19,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,36.0,8.0,0.0,103838.0,103838.0,103838.0,34,25,Clear25–27 °C (77–81 °F) air temperature28–29 °C (82–84 °F) track temperature1.5 m/s (4.9 ft/s) wind from the south[3],1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,103838.0,103838.0,103838.0,24,1,35,0,0,0,0,0,0,0,1,1,3,2,1,2,4,1,1,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,18,9,2.0,55,6008376.0,47.0,7.0,105859.0,188.877,grosjean,8.0,French,lotus_f1,British,2015,19,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,78.0,6.0,0.0,102585.0,102585.0,102585.0,38,29,Clear25–27 °C (77–81 °F) air temperature28–29 °C (82–84 °F) track temperature1.5 m/s (4.9 ft/s) wind from the south[3],1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,102585.0,102585.0,102585.0,23,6,83,1,0,1,0,0,0,4,2,0,2,1,1,1,1,1,0,2,1,77.0,76.0,76.0,70.0,71.0 +44.0,2,2,18.0,55,5918446.0,44.0,1.0,104517.0,191.302,hamilton,44.0,British,mercedes,German,2015,19,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,10.0,703.0,1.0,16.0,100974.0,100758.0,100614.0,39,30,Clear25–27 °C (77–81 °F) air temperature28–29 °C (82–84 °F) track temperature1.5 m/s (4.9 ft/s) wind from the south[3],1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,100614.0,100974.0,100782.0,22,8,167,16,5,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,165.0,89.0,83.0,87.0,85.0 +27.0,7,7,6.0,55,6003793.0,29.0,16.0,107064.0,186.751,hulkenberg,27.0,German,force_india,Indian,2015,19,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,136.0,5.0,0.0,101996.0,101925.0,101686.0,37,28,Clear25–27 °C (77–81 °F) air temperature28–29 °C (82–84 °F) track temperature1.5 m/s (4.9 ft/s) wind from the south[3],1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,101686.0,101996.0,101869.0,23,5,96,0,0,0,0,0,3,4,1,0,0,1,0,1,2,1,0,0,0,96.0,84.0,79.0,78.0,77.0 +26.0,9,10,1.0,55,6012546.0,27.0,13.0,106882.0,187.069,kvyat,26.0,Russian,red_bull,Austrian,2015,19,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,187.0,4.0,0.0,102540.0,102328.0,101933.0,30,21,Clear25–27 °C (77–81 °F) air temperature28–29 °C (82–84 °F) track temperature1.5 m/s (4.9 ft/s) wind from the south[3],1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,101933.0,102540.0,102267.0,20,1,38,1,1,0,3,1,2,1,0,3,2,0,1,2,0,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +19.0,8,8,4.0,55,6007926.0,33.0,14.0,106984.0,186.891,massa,19.0,Brazilian,williams,British,2015,19,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,257.0,3.0,0.0,102303.0,102349.0,101759.0,43,34,Clear25–27 °C (77–81 °F) air temperature28–29 °C (82–84 °F) track temperature1.5 m/s (4.9 ft/s) wind from the south[3],1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,101759.0,102349.0,102137.0,25,9,178,2,0,2,3,1,5,0,0,0,1,0,1,0,0,1,0,2,0,176.0,88.0,87.0,89.0,87.0 +33.0,11,16,0.0,54,,40.0,6.0,105746.0,189.079,max_verstappen,33.0,Dutch,toro_rosso,Italian,2015,19,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,67.0,7.0,0.0,102889.0,102521.0,102521.0,27,18,Clear25–27 °C (77–81 °F) air temperature28–29 °C (82–84 °F) track temperature1.5 m/s (4.9 ft/s) wind from the south[3],1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,102521.0,102889.0,102643.66666666669,18,0,19,0,0,0,2,0,0,1,3,3,1,1,1,1,0,1,1,1,2,58.0,72.0,78.0,73.0,72.0 +98.0,20,19,0.0,52,,26.0,19.0,111213.0,179.784,merhi,98.0,Spanish,manor,British,2015,19,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+3 Laps,0.0,0.0,10.0,0.0,107434.0,107434.0,107434.0,33,24,Clear25–27 °C (77–81 °F) air temperature28–29 °C (82–84 °F) track temperature1.5 m/s (4.9 ft/s) wind from the south[3],1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,107434.0,107434.0,107434.0,24,0,13,0,0,0,0,0,0,0,0,0,0,0,1,1,1,3,3,1,2,58.0,72.0,78.0,73.0,72.0 +12.0,14,15,0.0,54,,46.0,10.0,106424.0,187.874,nasr,12.0,Brazilian,sauber,Swiss,2015,19,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,36.0,8.0,0.0,102896.0,103614.0,103614.0,32,23,Clear25–27 °C (77–81 °F) air temperature28–29 °C (82–84 °F) track temperature1.5 m/s (4.9 ft/s) wind from the south[3],1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,102896.0,103614.0,103374.66666666669,23,0,19,0,0,0,0,1,1,0,1,2,1,3,3,2,0,0,1,1,0,58.0,72.0,78.0,73.0,72.0 +11.0,4,5,10.0,55,5974127.0,30.0,8.0,105892.0,188.818,perez,11.0,Mexican,force_india,Indian,2015,19,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,136.0,5.0,0.0,101983.0,101560.0,101184.0,34,25,Clear25–27 °C (77–81 °F) air temperature28–29 °C (82–84 °F) track temperature1.5 m/s (4.9 ft/s) wind from the south[3],1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,101184.0,101983.0,101575.66666666669,21,4,95,1,0,1,0,2,1,2,2,2,1,2,2,2,0,0,0,0,0,96.0,84.0,79.0,78.0,77.0 +7.0,3,3,15.0,55,5929605.0,47.0,4.0,104942.0,190.528,raikkonen,7.0,Finnish,ferrari,Italian,2015,19,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,428.0,2.0,3.0,102500.0,101612.0,101051.0,45,36,Clear25–27 °C (77–81 °F) air temperature28–29 °C (82–84 °F) track temperature1.5 m/s (4.9 ft/s) wind from the south[3],1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,101051.0,102500.0,101721.0,27,9,145,2,1,1,5,2,1,1,2,0,0,0,1,0,0,0,1,0,1,147.0,88.0,80.0,84.0,83.0 +3.0,5,6,8.0,55,5975185.0,46.0,9.0,106305.0,188.085,ricciardo,3.0,Australian,red_bull,Austrian,2015,19,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,187.0,4.0,0.0,102275.0,101830.0,101444.0,35,26,Clear25–27 °C (77–81 °F) air temperature28–29 °C (82–84 °F) track temperature1.5 m/s (4.9 ft/s) wind from the south[3],1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,101444.0,102275.0,101849.66666666669,22,4,88,2,1,1,0,2,2,1,1,1,3,1,0,1,0,3,0,0,1,91.0,83.0,77.0,75.0,75.0 +6.0,1,1,25.0,55,5910175.0,37.0,5.0,105356.0,189.779,rosberg,6.0,German,mercedes,German,2015,19,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,5.0,703.0,1.0,16.0,101111.0,100979.0,100237.0,39,30,Clear25–27 °C (77–81 °F) air temperature28–29 °C (82–84 °F) track temperature1.5 m/s (4.9 ft/s) wind from the south[3],1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,100237.0,101111.0,100775.66666666669,21,9,185,14,7,2,1,0,0,0,1,0,0,0,0,0,0,0,0,1,1,183.0,90.0,89.0,91.0,90.0 +55.0,10,11,0.0,55,6013700.0,38.0,15.0,106998.0,186.867,sainz,55.0,Spanish,toro_rosso,Italian,2015,19,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,67.0,7.0,0.0,102911.0,102482.0,102708.0,30,21,Clear25–27 °C (77–81 °F) air temperature28–29 °C (82–84 °F) track temperature1.5 m/s (4.9 ft/s) wind from the south[3],1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,102482.0,102911.0,102700.33333333331,21,0,19,0,0,0,0,0,0,1,1,3,2,1,1,2,1,0,2,2,0,58.0,72.0,78.0,73.0,72.0 +28.0,19,18,0.0,53,,53.0,18.0,109610.0,182.414,stevens,28.0,British,manor,British,2015,19,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+2 Laps,0.0,0.0,10.0,0.0,106297.0,106297.0,106297.0,33,24,Clear25–27 °C (77–81 °F) air temperature28–29 °C (82–84 °F) track temperature1.5 m/s (4.9 ft/s) wind from the south[3],1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,106297.0,106297.0,106297.0,23,1,19,0,0,0,0,0,0,0,0,0,0,0,0,1,1,3,4,4,1,58.0,72.0,78.0,73.0,72.0 +5.0,15,4,12.0,55,5953910.0,48.0,2.0,104550.0,191.242,vettel,5.0,German,ferrari,Italian,2015,19,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,3.0,428.0,2.0,3.0,102941.0,102941.0,102941.0,37,28,Clear25–27 °C (77–81 °F) air temperature28–29 °C (82–84 °F) track temperature1.5 m/s (4.9 ft/s) wind from the south[3],1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,102941.0,102941.0,102941.0,20,8,158,13,3,7,1,2,0,0,0,0,0,0,1,0,0,0,0,0,1,158.0,89.0,81.0,86.0,84.0 +77.0,16,8,4.0,57,6570718.0,51.0,14.0,92725.0,205.886,bottas,77.0,Finnish,williams,British,2016,1,Australian Grand Prix,18000000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,14.0,3.0,0.0,87135.0,85961.0,85961.0,35,27,Partly cloudy22–23 °C (72–73 °F) air temperature26–36 °C (79–97 °F) track temperature4 m/s (8.9 mph; 14 km/h) wind from the south[4],0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,85961.0,87135.0,86352.33333333333,24,3,58,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +22.0,12,14,0.0,56,,33.0,8.0,91684.0,208.223,button,22.0,British,mclaren,British,2016,1,Australian Grand Prix,18000000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+1 Lap,0.0,0.0,9.0,0.0,86740.0,86304.0,86304.0,44,36,Partly cloudy22–23 °C (72–73 °F) air temperature26–36 °C (79–97 °F) track temperature4 m/s (8.9 mph; 14 km/h) wind from the south[4],0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,86304.0,86740.0,86449.33333333333,26,10,186,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,186.0,90.0,88.0,92.0,90.0 +8.0,19,6,8.0,57,6567646.0,48.0,17.0,92862.0,205.582,grosjean,8.0,French,haas,American,2016,1,Australian Grand Prix,18000000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,8.0,5.0,0.0,88322.0,88322.0,88322.0,38,30,Partly cloudy22–23 °C (72–73 °F) air temperature26–36 °C (79–97 °F) track temperature4 m/s (8.9 mph; 14 km/h) wind from the south[4],0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,88322.0,88322.0,88322.0,23,7,84,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,77.0,76.0,76.0,70.0,71.0 +44.0,1,2,18.0,57,6503625.0,48.0,4.0,90646.0,210.608,hamilton,44.0,British,mercedes,German,2016,1,Australian Grand Prix,18000000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,43.0,1.0,1.0,85351.0,84605.0,83837.0,39,31,Partly cloudy22–23 °C (72–73 °F) air temperature26–36 °C (79–97 °F) track temperature4 m/s (8.9 mph; 14 km/h) wind from the south[4],0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,83837.0,85351.0,84597.66666666667,22,9,168,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,165.0,89.0,83.0,87.0,85.0 +27.0,10,7,6.0,57,6569764.0,49.0,16.0,92833.0,205.646,hulkenberg,27.0,German,force_india,Indian,2016,1,Australian Grand Prix,18000000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,6.0,6.0,0.0,86550.0,85865.0,85865.0,37,29,Partly cloudy22–23 °C (72–73 °F) air temperature26–36 °C (79–97 °F) track temperature4 m/s (8.9 mph; 14 km/h) wind from the south[4],0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,85865.0,86550.0,86093.33333333333,23,6,97,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,100.0,83.0,81.0,81.0,78.0 +30.0,13,11,0.0,57,6578964.0,14.0,18.0,92955.0,205.376,jolyon_palmer,30.0,British,renault,French,2016,1,Australian Grand Prix,18000000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,0.0,8.0,0.0,87241.0,87601.0,87601.0,33,25,Partly cloudy22–23 °C (72–73 °F) air temperature26–36 °C (79–97 °F) track temperature4 m/s (8.9 mph; 14 km/h) wind from the south[4],0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,87241.0,87601.0,87481.0,25,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +20.0,14,12,0.0,57,6581171.0,45.0,10.0,92452.0,206.494,kevin_magnussen,20.0,Danish,renault,French,2016,1,Australian Grand Prix,18000000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,0.0,8.0,0.0,87297.0,87742.0,87742.0,32,24,Partly cloudy22–23 °C (72–73 °F) air temperature26–36 °C (79–97 °F) track temperature4 m/s (8.9 mph; 14 km/h) wind from the south[4],0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,87297.0,87742.0,87593.66666666667,22,2,21,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +19.0,6,5,10.0,57,6554544.0,39.0,9.0,92288.0,206.861,massa,19.0,Brazilian,williams,British,2016,1,Australian Grand Prix,18000000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,14.0,3.0,0.0,85918.0,85644.0,85458.0,43,35,Partly cloudy22–23 °C (72–73 °F) air temperature26–36 °C (79–97 °F) track temperature4 m/s (8.9 mph; 14 km/h) wind from the south[4],0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,85458.0,85918.0,85673.33333333333,25,10,179,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,176.0,88.0,87.0,89.0,87.0 +33.0,5,10,1.0,57,6572398.0,44.0,6.0,91516.0,208.606,max_verstappen,33.0,Dutch,toro_rosso,Italian,2016,1,Australian Grand Prix,18000000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,3.0,7.0,0.0,86934.0,85615.0,85434.0,27,19,Partly cloudy22–23 °C (72–73 °F) air temperature26–36 °C (79–97 °F) track temperature4 m/s (8.9 mph; 14 km/h) wind from the south[4],0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,85434.0,86934.0,85994.33333333333,18,1,20,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +12.0,17,15,0.0,56,,48.0,13.0,92711.0,205.917,nasr,12.0,Brazilian,sauber,Swiss,2016,1,Australian Grand Prix,18000000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+1 Lap,0.0,0.0,10.0,0.0,87958.0,87958.0,87958.0,32,24,Partly cloudy22–23 °C (72–73 °F) air temperature26–36 °C (79–97 °F) track temperature4 m/s (8.9 mph; 14 km/h) wind from the south[4],0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,87958.0,87958.0,87958.0,23,1,20,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,9,13,0.0,57,6587264.0,39.0,15.0,92780.0,205.764,perez,11.0,Mexican,force_india,Indian,2016,1,Australian Grand Prix,18000000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,6.0,6.0,0.0,86607.0,85753.0,85753.0,34,26,Partly cloudy22–23 °C (72–73 °F) air temperature26–36 °C (79–97 °F) track temperature4 m/s (8.9 mph; 14 km/h) wind from the south[4],0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,85753.0,86607.0,86037.66666666667,21,5,96,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,96.0,84.0,79.0,78.0,77.0 +3.0,8,4,12.0,57,6519895.0,49.0,1.0,88997.0,214.51,ricciardo,3.0,Australian,red_bull,Austrian,2016,1,Australian Grand Prix,18000000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,12.0,4.0,0.0,86945.0,85599.0,85589.0,35,27,Partly cloudy22–23 °C (72–73 °F) air temperature26–36 °C (79–97 °F) track temperature4 m/s (8.9 mph; 14 km/h) wind from the south[4],0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,85589.0,86945.0,86044.33333333333,22,5,89,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,91.0,83.0,77.0,75.0,75.0 +6.0,2,1,25.0,57,6495565.0,21.0,3.0,90557.0,210.815,rosberg,6.0,German,mercedes,German,2016,1,Australian Grand Prix,18000000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,43.0,1.0,1.0,86934.0,84796.0,84197.0,39,31,Partly cloudy22–23 °C (72–73 °F) air temperature26–36 °C (79–97 °F) track temperature4 m/s (8.9 mph; 14 km/h) wind from the south[4],0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,84197.0,86934.0,85309.0,21,10,186,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,186.0,90.0,88.0,92.0,90.0 +55.0,7,9,2.0,57,6571245.0,23.0,7.0,91671.0,208.253,sainz,55.0,Spanish,toro_rosso,Italian,2016,1,Australian Grand Prix,18000000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,3.0,7.0,0.0,87057.0,85384.0,85582.0,30,22,Partly cloudy22–23 °C (72–73 °F) air temperature26–36 °C (79–97 °F) track temperature4 m/s (8.9 mph; 14 km/h) wind from the south[4],0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,85384.0,87057.0,86007.66666666667,21,1,20,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +5.0,3,3,15.0,57,6505208.0,23.0,2.0,89951.0,212.235,vettel,5.0,German,ferrari,Italian,2016,1,Australian Grand Prix,18000000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,15.0,2.0,0.0,86945.0,85257.0,84675.0,37,29,Partly cloudy22–23 °C (72–73 °F) air temperature26–36 °C (79–97 °F) track temperature4 m/s (8.9 mph; 14 km/h) wind from the south[4],0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,84675.0,86945.0,85625.66666666667,20,9,159,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,158.0,89.0,81.0,86.0,84.0 +94.0,21,16,0.0,56,,34.0,12.0,92673.0,206.001,wehrlein,94.0,German,manor,British,2016,1,Australian Grand Prix,18000000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+1 Lap,0.0,0.0,11.0,0.0,89642.0,89642.0,89642.0,30,22,Partly cloudy22–23 °C (72–73 °F) air temperature26–36 °C (79–97 °F) track temperature4 m/s (8.9 mph; 14 km/h) wind from the south[4],0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,89642.0,89642.0,89642.0,22,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +77.0,6,9,2.0,56,,37.0,15.0,97077.0,200.698,bottas,77.0,Finnish,williams,British,2016,2,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,20.0,4.0,0.0,91672.0,90931.0,91153.0,35,27,Dry21–22 °C (70–72 °F) air temperature26–29 °C (79–84 °F) track temperature2 m/s (6.6 ft/s) wind from the southwest[4],0,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,90931.0,91672.0,91252.0,24,3,59,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +9.0,17,12,0.0,56,,32.0,17.0,98003.0,198.802,ericsson,9.0,Swedish,sauber,Swiss,2016,2,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,0.0,10.0,0.0,92840.0,92840.0,92840.0,34,26,Dry21–22 °C (70–72 °F) air temperature26–29 °C (79–84 °F) track temperature2 m/s (6.6 ft/s) wind from the southwest[4],0,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,92840.0,92840.0,92840.0,24,2,37,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +8.0,9,5,10.0,57,5692995.0,42.0,11.0,96095.0,202.749,grosjean,8.0,French,haas,American,2016,2,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,18.0,5.0,0.0,92005.0,91756.0,91756.0,38,30,Dry21–22 °C (70–72 °F) air temperature26–29 °C (79–84 °F) track temperature2 m/s (6.6 ft/s) wind from the southwest[4],0,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,91756.0,92005.0,91839.0,23,7,85,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,77.0,76.0,76.0,70.0,71.0 +44.0,1,3,15.0,57,5644844.0,43.0,2.0,94677.0,205.785,hamilton,44.0,British,mercedes,German,2016,2,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,83.0,1.0,2.0,91391.0,90039.0,89493.0,39,31,Dry21–22 °C (70–72 °F) air temperature26–29 °C (79–84 °F) track temperature2 m/s (6.6 ft/s) wind from the southwest[4],0,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,89493.0,91391.0,90307.66666666669,22,9,169,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,176.0,88.0,87.0,89.0,87.0 +88.0,20,17,0.0,56,,47.0,13.0,96685.0,201.512,haryanto,88.0,Indonesian,manor,British,2016,2,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,0.0,11.0,0.0,94190.0,94190.0,94190.0,31,23,Dry21–22 °C (70–72 °F) air temperature26–29 °C (79–84 °F) track temperature2 m/s (6.6 ft/s) wind from the southwest[4],0,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,94190.0,94190.0,94190.0,23,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +27.0,8,15,0.0,56,,53.0,4.0,95188.0,204.681,hulkenberg,27.0,German,force_india,Indian,2016,2,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,6.0,7.0,0.0,91987.0,91604.0,91620.0,37,29,Dry21–22 °C (70–72 °F) air temperature26–29 °C (79–84 °F) track temperature2 m/s (6.6 ft/s) wind from the southwest[4],0,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,91604.0,91987.0,91737.0,23,6,98,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,100.0,83.0,81.0,81.0,78.0 +20.0,22,11,0.0,56,,40.0,14.0,96730.0,201.418,kevin_magnussen,20.0,Danish,renault,French,2016,2,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,0.0,9.0,0.0,93181.0,93181.0,93181.0,32,24,Dry21–22 °C (70–72 °F) air temperature26–29 °C (79–84 °F) track temperature2 m/s (6.6 ft/s) wind from the southwest[4],0,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,93181.0,93181.0,93181.0,22,2,22,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +26.0,15,7,6.0,56,,36.0,8.0,95678.0,203.633,kvyat,26.0,Russian,red_bull,Austrian,2016,2,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,30.0,3.0,0.0,92559.0,92241.0,92241.0,30,22,Dry21–22 °C (70–72 °F) air temperature26–29 °C (79–84 °F) track temperature2 m/s (6.6 ft/s) wind from the southwest[4],0,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,92241.0,92559.0,92347.0,20,2,40,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +19.0,7,8,4.0,56,,31.0,16.0,97560.0,199.704,massa,19.0,Brazilian,williams,British,2016,2,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,20.0,4.0,0.0,92045.0,91374.0,91155.0,43,35,Dry21–22 °C (70–72 °F) air temperature26–29 °C (79–84 °F) track temperature2 m/s (6.6 ft/s) wind from the southwest[4],0,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,91155.0,92045.0,91524.66666666669,25,10,180,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,176.0,88.0,87.0,89.0,87.0 +33.0,10,6,8.0,57,5695625.0,49.0,7.0,95504.0,204.004,max_verstappen,33.0,Dutch,toro_rosso,Italian,2016,2,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,11.0,6.0,0.0,91888.0,91772.0,91772.0,27,19,Dry21–22 °C (70–72 °F) air temperature26–29 °C (79–84 °F) track temperature2 m/s (6.6 ft/s) wind from the southwest[4],0,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,91772.0,91888.0,91810.66666666669,18,1,21,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +12.0,21,14,0.0,56,,49.0,5.0,95360.0,204.312,nasr,12.0,Brazilian,sauber,Swiss,2016,2,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,0.0,10.0,0.0,94388.0,94388.0,94388.0,32,24,Dry21–22 °C (70–72 °F) air temperature26–29 °C (79–84 °F) track temperature2 m/s (6.6 ft/s) wind from the southwest[4],0,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,94388.0,94388.0,94388.0,23,1,21,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,18,16,0.0,56,,39.0,10.0,96067.0,202.808,perez,11.0,Mexican,force_india,Indian,2016,2,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,6.0,7.0,0.0,92911.0,92911.0,92911.0,34,26,Dry21–22 °C (70–72 °F) air temperature26–29 °C (79–84 °F) track temperature2 m/s (6.6 ft/s) wind from the southwest[4],0,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,92911.0,92911.0,92911.0,21,5,97,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,100.0,83.0,81.0,81.0,78.0 +7.0,4,2,18.0,57,5624978.0,39.0,3.0,95158.0,204.745,raikkonen,7.0,Finnish,ferrari,Italian,2016,2,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,33.0,2.0,0.0,91685.0,90559.0,90244.0,45,37,Dry21–22 °C (70–72 °F) air temperature26–29 °C (79–84 °F) track temperature2 m/s (6.6 ft/s) wind from the southwest[4],0,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,90244.0,91685.0,90829.33333333331,27,10,147,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,147.0,88.0,80.0,84.0,83.0 +3.0,5,4,12.0,57,5677190.0,44.0,9.0,96064.0,202.814,ricciardo,3.0,Australian,red_bull,Austrian,2016,2,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,30.0,3.0,0.0,91403.0,91122.0,90854.0,35,27,Dry21–22 °C (70–72 °F) air temperature26–29 °C (79–84 °F) track temperature2 m/s (6.6 ft/s) wind from the southwest[4],0,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,90854.0,91403.0,91126.33333333331,22,5,90,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,91.0,83.0,77.0,75.0,75.0 +6.0,2,1,25.0,57,5614696.0,41.0,1.0,94482.0,206.21,rosberg,6.0,German,mercedes,German,2016,2,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,1.0,83.0,1.0,2.0,91325.0,90535.0,89570.0,39,31,Dry21–22 °C (70–72 °F) air temperature26–29 °C (79–84 °F) track temperature2 m/s (6.6 ft/s) wind from the southwest[4],0,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,89570.0,91325.0,90476.66666666669,21,10,187,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,186.0,90.0,88.0,92.0,90.0 +47.0,12,10,1.0,56,,44.0,12.0,96121.0,202.694,vandoorne,2.0,Belgian,mclaren,British,2016,2,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,1.0,8.0,0.0,92472.0,91934.0,91934.0,32,24,Dry21–22 °C (70–72 °F) air temperature26–29 °C (79–84 °F) track temperature2 m/s (6.6 ft/s) wind from the southwest[4],0,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,91934.0,92472.0,92113.33333333331,24,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +94.0,16,13,0.0,56,,43.0,6.0,95448.0,204.123,wehrlein,94.0,German,manor,British,2016,2,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,0.0,11.0,0.0,92806.0,92806.0,92806.0,30,22,Dry21–22 °C (70–72 °F) air temperature26–29 °C (79–84 °F) track temperature2 m/s (6.6 ft/s) wind from the southwest[4],0,0,1,0,0,Race circuit,Clockwise,5.412,57.0,308.238,92806.0,92806.0,92806.0,22,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +14.0,11,12,0.0,56,6031144.0,36.0,19.0,102226.0,191.962,alonso,14.0,Spanish,mclaren,British,2016,3,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,1.0,8.0,0.0,98451.0,98826.0,98826.0,43,35,Sunny21 °C (70 °F) air temperature37 °C (99 °F) track temperature4.8 m/s (16 ft/s) wind from the northeast[4],1,0,0,0,0,Race circuit,Clockwise,5.451,56.0,305.066,98451.0,98826.0,98701.0,25,10,186,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,186.0,90.0,88.0,92.0,90.0 +77.0,5,10,1.0,56,6020083.0,23.0,15.0,101558.0,193.225,bottas,77.0,Finnish,williams,British,2016,3,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,29.0,4.0,0.0,97537.0,96831.0,96296.0,35,27,Sunny21 °C (70 °F) air temperature37 °C (99 °F) track temperature4.8 m/s (16 ft/s) wind from the northeast[4],1,0,0,0,0,Race circuit,Clockwise,5.451,56.0,305.066,96296.0,97537.0,96888.0,24,3,60,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +22.0,12,13,0.0,56,6035881.0,46.0,3.0,100298.0,195.652,button,22.0,British,mclaren,British,2016,3,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,1.0,8.0,0.0,97593.0,99093.0,99093.0,44,36,Sunny21 °C (70 °F) air temperature37 °C (99 °F) track temperature4.8 m/s (16 ft/s) wind from the northeast[4],1,0,0,0,0,Race circuit,Clockwise,5.451,56.0,305.066,97593.0,99093.0,98593.0,26,10,188,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,186.0,90.0,88.0,92.0,90.0 +9.0,15,16,0.0,55,,41.0,22.0,103269.0,190.024,ericsson,9.0,Swedish,sauber,Swiss,2016,3,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+1 Lap,0.0,0.0,10.0,0.0,98321.0,100742.0,100742.0,34,26,Sunny21 °C (70 °F) air temperature37 °C (99 °F) track temperature4.8 m/s (16 ft/s) wind from the northeast[4],1,0,0,0,0,Race circuit,Clockwise,5.451,56.0,305.066,98321.0,100742.0,99935.0,24,2,38,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +8.0,14,19,0.0,55,,47.0,2.0,99923.0,196.387,grosjean,8.0,French,haas,American,2016,3,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+1 Lap,0.0,18.0,5.0,0.0,98425.0,99830.0,99830.0,38,30,Sunny21 °C (70 °F) air temperature37 °C (99 °F) track temperature4.8 m/s (16 ft/s) wind from the northeast[4],1,0,0,0,0,Race circuit,Clockwise,5.451,56.0,305.066,98425.0,99830.0,99361.66666666669,23,7,86,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,91.0,83.0,77.0,75.0,75.0 +21.0,18,14,0.0,55,,45.0,4.0,100368.0,195.516,gutierrez,21.0,Mexican,haas,American,2016,3,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+1 Lap,0.0,18.0,5.0,0.0,98770.0,98770.0,98770.0,33,25,Sunny21 °C (70 °F) air temperature37 °C (99 °F) track temperature4.8 m/s (16 ft/s) wind from the northeast[4],1,0,0,0,0,Race circuit,Clockwise,5.451,56.0,305.066,98770.0,98770.0,98770.0,22,3,41,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +44.0,22,7,6.0,56,6012121.0,32.0,10.0,100662.0,194.945,hamilton,44.0,British,mercedes,German,2016,3,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,114.0,1.0,3.0,100264.0,100264.0,100264.0,39,31,Sunny21 °C (70 °F) air temperature37 °C (99 °F) track temperature4.8 m/s (16 ft/s) wind from the northeast[4],1,0,0,0,0,Race circuit,Clockwise,5.451,56.0,305.066,100264.0,100264.0,100264.0,22,9,170,2,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,176.0,88.0,87.0,89.0,87.0 +27.0,13,15,0.0,55,,48.0,1.0,99824.0,196.581,hulkenberg,27.0,German,force_india,Indian,2016,3,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+1 Lap,0.0,6.0,7.0,0.0,98165.0,97333.0,97333.0,37,29,Sunny21 °C (70 °F) air temperature37 °C (99 °F) track temperature4.8 m/s (16 ft/s) wind from the northeast[4],1,0,0,0,0,Race circuit,Clockwise,5.451,56.0,305.066,97333.0,98165.0,97610.33333333331,23,6,99,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,100.0,83.0,81.0,81.0,78.0 +20.0,17,17,0.0,55,,22.0,21.0,102311.0,191.803,kevin_magnussen,20.0,Danish,renault,French,2016,3,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+1 Lap,0.0,0.0,9.0,0.0,98673.0,98673.0,98673.0,32,24,Sunny21 °C (70 °F) air temperature37 °C (99 °F) track temperature4.8 m/s (16 ft/s) wind from the northeast[4],1,0,0,0,0,Race circuit,Clockwise,5.451,56.0,305.066,98673.0,98673.0,98673.0,22,2,23,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +26.0,6,3,15.0,56,5979827.0,38.0,14.0,101546.0,193.248,kvyat,26.0,Russian,red_bull,Austrian,2016,3,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,57.0,3.0,0.0,97719.0,96948.0,96399.0,30,22,Sunny21 °C (70 °F) air temperature37 °C (99 °F) track temperature4.8 m/s (16 ft/s) wind from the northeast[4],1,0,0,0,0,Race circuit,Clockwise,5.451,56.0,305.066,96399.0,97719.0,97022.0,20,2,41,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +19.0,10,6,8.0,56,6009402.0,34.0,16.0,101815.0,192.737,massa,19.0,Brazilian,williams,British,2016,3,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,29.0,4.0,0.0,98016.0,97347.0,97347.0,43,35,Sunny21 °C (70 °F) air temperature37 °C (99 °F) track temperature4.8 m/s (16 ft/s) wind from the northeast[4],1,0,0,0,0,Race circuit,Clockwise,5.451,56.0,305.066,97347.0,98016.0,97570.0,25,10,181,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,179.0,87.0,90.0,88.0,87.0 +33.0,9,8,4.0,56,6013159.0,41.0,5.0,100399.0,195.456,max_verstappen,33.0,Dutch,toro_rosso,Italian,2016,3,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,17.0,6.0,0.0,98181.0,97265.0,97194.0,27,19,Sunny21 °C (70 °F) air temperature37 °C (99 °F) track temperature4.8 m/s (16 ft/s) wind from the northeast[4],1,0,0,0,0,Race circuit,Clockwise,5.451,56.0,305.066,97194.0,98181.0,97546.66666666669,18,1,22,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +12.0,16,20,0.0,55,,42.0,7.0,100582.0,195.1,nasr,12.0,Brazilian,sauber,Swiss,2016,3,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+1 Lap,0.0,0.0,10.0,0.0,98654.0,102430.0,102430.0,32,24,Sunny21 °C (70 °F) air temperature37 °C (99 °F) track temperature4.8 m/s (16 ft/s) wind from the northeast[4],1,0,0,0,0,Race circuit,Clockwise,5.451,56.0,305.066,98654.0,102430.0,101171.33333333331,23,1,22,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,7,11,0.0,56,6028174.0,30.0,17.0,101846.0,192.679,perez,11.0,Mexican,force_india,Indian,2016,3,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,6.0,7.0,0.0,98096.0,97149.0,96865.0,34,26,Sunny21 °C (70 °F) air temperature37 °C (99 °F) track temperature4.8 m/s (16 ft/s) wind from the northeast[4],1,0,0,0,0,Race circuit,Clockwise,5.451,56.0,305.066,96865.0,98096.0,97370.0,21,5,98,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,100.0,83.0,81.0,81.0,78.0 +7.0,3,5,10.0,56,5999763.0,40.0,8.0,100593.0,195.079,raikkonen,7.0,Finnish,ferrari,Italian,2016,3,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,61.0,2.0,0.0,97347.0,96118.0,95972.0,45,37,Sunny21 °C (70 °F) air temperature37 °C (99 °F) track temperature4.8 m/s (16 ft/s) wind from the northeast[4],1,0,0,0,0,Race circuit,Clockwise,5.451,56.0,305.066,95972.0,97347.0,96479.0,27,10,148,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,148.0,87.0,77.0,83.0,82.0 +3.0,2,4,12.0,56,5986579.0,55.0,11.0,101015.0,194.264,ricciardo,3.0,Australian,red_bull,Austrian,2016,3,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,57.0,3.0,0.0,97672.0,96815.0,95917.0,35,27,Sunny21 °C (70 °F) air temperature37 °C (99 °F) track temperature4.8 m/s (16 ft/s) wind from the northeast[4],1,0,0,0,0,Race circuit,Clockwise,5.451,56.0,305.066,95917.0,97672.0,96801.33333333331,22,5,91,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,96.0,84.0,79.0,78.0,77.0 +6.0,1,1,25.0,56,5933891.0,38.0,6.0,100418.0,195.419,rosberg,6.0,German,mercedes,German,2016,3,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,2.0,114.0,1.0,3.0,97669.0,96240.0,95402.0,39,31,Sunny21 °C (70 °F) air temperature37 °C (99 °F) track temperature4.8 m/s (16 ft/s) wind from the northeast[4],1,0,0,0,0,Race circuit,Clockwise,5.451,56.0,305.066,95402.0,97669.0,96437.0,21,10,188,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,186.0,90.0,88.0,92.0,90.0 +55.0,8,9,2.0,56,6018018.0,35.0,12.0,101485.0,193.364,sainz,55.0,Spanish,toro_rosso,Italian,2016,3,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,17.0,6.0,0.0,97656.0,97204.0,96881.0,30,22,Sunny21 °C (70 °F) air temperature37 °C (99 °F) track temperature4.8 m/s (16 ft/s) wind from the northeast[4],1,0,0,0,0,Race circuit,Clockwise,5.451,56.0,305.066,96881.0,97656.0,97247.0,21,1,22,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +5.0,4,2,18.0,56,5971667.0,37.0,9.0,100610.0,195.046,vettel,5.0,German,ferrari,Italian,2016,3,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,61.0,2.0,0.0,97001.0,96183.0,96246.0,37,29,Sunny21 °C (70 °F) air temperature37 °C (99 °F) track temperature4.8 m/s (16 ft/s) wind from the northeast[4],1,0,0,0,0,Race circuit,Clockwise,5.451,56.0,305.066,96183.0,97001.0,96476.66666666669,20,9,161,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,158.0,89.0,81.0,86.0,84.0 +94.0,21,18,0.0,55,,48.0,13.0,101489.0,193.356,wehrlein,94.0,German,manor,British,2016,3,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+1 Lap,0.0,0.0,11.0,0.0,100264.0,100264.0,100264.0,30,22,Sunny21 °C (70 °F) air temperature37 °C (99 °F) track temperature4.8 m/s (16 ft/s) wind from the northeast[4],1,0,0,0,0,Race circuit,Clockwise,5.451,56.0,305.066,100264.0,100264.0,100264.0,22,0,3,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +14.0,14,6,8.0,52,,52.0,5.0,100347.0,209.799,alonso,14.0,Spanish,mclaren,British,2016,4,Russian Grand Prix,43200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,+1 Lap,0.0,10.0,7.0,0.0,97971.0,97807.0,97807.0,43,35,Partly cloudy16 °C (61 °F) air temperature37–41 °C (99–106 °F) track temperature2.5 m/s (8.2 ft/s) wind from the southwest[4],0,0,0,0,1,Race circuit,Clockwise,5.848,53.0,309.745,97807.0,97971.0,97861.66666666669,25,10,187,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,186.0,90.0,88.0,92.0,90.0 +77.0,2,4,12.0,53,5612214.0,37.0,6.0,101159.0,208.115,bottas,77.0,Finnish,williams,British,2016,4,Russian Grand Prix,43200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,0.0,51.0,4.0,0.0,97746.0,97140.0,96536.0,35,27,Partly cloudy16 °C (61 °F) air temperature37–41 °C (99–106 °F) track temperature2.5 m/s (8.2 ft/s) wind from the southwest[4],0,0,0,0,1,Race circuit,Clockwise,5.848,53.0,309.745,96536.0,97746.0,97140.66666666669,24,3,61,0,0,0,0,0,0,0,1,1,1,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +22.0,12,10,1.0,52,,50.0,8.0,101720.0,206.968,button,22.0,British,mclaren,British,2016,4,Russian Grand Prix,43200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,+1 Lap,0.0,10.0,7.0,0.0,98332.0,97701.0,97701.0,44,36,Partly cloudy16 °C (61 °F) air temperature37–41 °C (99–106 °F) track temperature2.5 m/s (8.2 ft/s) wind from the southwest[4],0,0,0,0,1,Race circuit,Clockwise,5.848,53.0,309.745,97701.0,98332.0,97911.33333333331,26,10,189,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,186.0,90.0,88.0,92.0,90.0 +9.0,22,14,0.0,52,,45.0,14.0,102050.0,206.298,ericsson,9.0,Swedish,sauber,Swiss,2016,4,Russian Grand Prix,43200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,+1 Lap,0.0,0.0,10.0,0.0,99519.0,99519.0,99519.0,34,26,Partly cloudy16 °C (61 °F) air temperature37–41 °C (99–106 °F) track temperature2.5 m/s (8.2 ft/s) wind from the southwest[4],0,0,0,0,1,Race circuit,Clockwise,5.848,53.0,309.745,99519.0,99519.0,99519.0,24,2,39,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,1,0,72.0,76.0,76.0,76.0,74.0 +8.0,15,8,4.0,52,,51.0,12.0,102026.0,206.347,grosjean,8.0,French,haas,American,2016,4,Russian Grand Prix,43200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,+1 Lap,0.0,22.0,5.0,0.0,98383.0,98055.0,98055.0,38,30,Partly cloudy16 °C (61 °F) air temperature37–41 °C (99–106 °F) track temperature2.5 m/s (8.2 ft/s) wind from the southwest[4],0,0,0,0,1,Race circuit,Clockwise,5.848,53.0,309.745,98055.0,98383.0,98164.33333333331,23,7,87,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,91.0,83.0,77.0,75.0,75.0 +21.0,16,17,0.0,52,,52.0,18.0,102378.0,205.637,gutierrez,21.0,Mexican,haas,American,2016,4,Russian Grand Prix,43200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,+1 Lap,0.0,22.0,5.0,0.0,98678.0,98115.0,98115.0,33,25,Partly cloudy16 °C (61 °F) air temperature37–41 °C (99–106 °F) track temperature2.5 m/s (8.2 ft/s) wind from the southwest[4],0,0,0,0,1,Race circuit,Clockwise,5.848,53.0,309.745,98115.0,98678.0,98302.66666666669,22,3,42,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +44.0,10,2,18.0,53,5587019.0,36.0,4.0,100266.0,209.969,hamilton,44.0,British,mercedes,German,2016,4,Russian Grand Prix,43200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,0.0,157.0,1.0,4.0,96006.0,95820.0,95820.0,39,31,Partly cloudy16 °C (61 °F) air temperature37–41 °C (99–106 °F) track temperature2.5 m/s (8.2 ft/s) wind from the southwest[4],0,0,0,0,1,Race circuit,Clockwise,5.848,53.0,309.745,95820.0,96006.0,95882.0,22,9,171,2,1,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,176.0,88.0,87.0,89.0,87.0 +30.0,18,13,0.0,52,,37.0,19.0,102660.0,205.073,jolyon_palmer,30.0,British,renault,French,2016,4,Russian Grand Prix,43200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,+1 Lap,0.0,6.0,9.0,0.0,99009.0,99009.0,99009.0,33,25,Partly cloudy16 °C (61 °F) air temperature37–41 °C (99–106 °F) track temperature2.5 m/s (8.2 ft/s) wind from the southwest[4],0,0,0,0,1,Race circuit,Clockwise,5.848,53.0,309.745,99009.0,99009.0,99009.0,25,0,4,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +20.0,17,7,6.0,52,,50.0,9.0,101832.0,206.74,kevin_magnussen,20.0,Danish,renault,French,2016,4,Russian Grand Prix,43200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,+1 Lap,0.0,6.0,9.0,0.0,98914.0,98914.0,98914.0,32,24,Partly cloudy16 °C (61 °F) air temperature37–41 °C (99–106 °F) track temperature2.5 m/s (8.2 ft/s) wind from the southwest[4],0,0,0,0,1,Race circuit,Clockwise,5.848,53.0,309.745,98914.0,98914.0,98914.0,22,2,24,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +26.0,8,15,0.0,52,,44.0,17.0,102344.0,205.706,kvyat,26.0,Russian,red_bull,Austrian,2016,4,Russian Grand Prix,43200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,+1 Lap,0.0,57.0,3.0,0.0,98265.0,97606.0,97459.0,30,22,Partly cloudy16 °C (61 °F) air temperature37–41 °C (99–106 °F) track temperature2.5 m/s (8.2 ft/s) wind from the southwest[4],0,0,0,0,1,Race circuit,Clockwise,5.848,53.0,309.745,97459.0,98265.0,97776.66666666669,20,2,42,1,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +19.0,4,5,10.0,53,5636424.0,52.0,2.0,99743.0,211.07,massa,19.0,Brazilian,williams,British,2016,4,Russian Grand Prix,43200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,0.0,51.0,4.0,0.0,97753.0,97230.0,97016.0,43,35,Partly cloudy16 °C (61 °F) air temperature37–41 °C (99–106 °F) track temperature2.5 m/s (8.2 ft/s) wind from the southwest[4],0,0,0,0,1,Race circuit,Clockwise,5.848,53.0,309.745,97016.0,97753.0,97333.0,25,10,182,0,0,0,0,1,1,0,1,0,0,0,0,0,0,0,0,0,0,179.0,87.0,90.0,88.0,87.0 +12.0,19,16,0.0,52,,50.0,16.0,102253.0,205.889,nasr,12.0,Brazilian,sauber,Swiss,2016,4,Russian Grand Prix,43200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,+1 Lap,0.0,0.0,10.0,0.0,99018.0,99018.0,99018.0,32,24,Partly cloudy16 °C (61 °F) air temperature37–41 °C (99–106 °F) track temperature2.5 m/s (8.2 ft/s) wind from the southwest[4],0,0,0,0,1,Race circuit,Clockwise,5.848,53.0,309.745,99018.0,99018.0,99018.0,23,1,23,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,6,9,2.0,52,,47.0,10.0,101897.0,206.608,perez,11.0,Mexican,force_india,Indian,2016,4,Russian Grand Prix,43200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,+1 Lap,0.0,8.0,8.0,0.0,98006.0,97282.0,97212.0,34,26,Partly cloudy16 °C (61 °F) air temperature37–41 °C (99–106 °F) track temperature2.5 m/s (8.2 ft/s) wind from the southwest[4],0,0,0,0,1,Race circuit,Clockwise,5.848,53.0,309.745,97212.0,98006.0,97500.0,21,5,99,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,1,0,0,100.0,83.0,81.0,81.0,78.0 +7.0,3,3,15.0,53,5593995.0,47.0,3.0,100101.0,210.315,raikkonen,7.0,Finnish,ferrari,Italian,2016,4,Russian Grand Prix,43200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,0.0,76.0,2.0,0.0,96976.0,96741.0,96663.0,45,37,Partly cloudy16 °C (61 °F) air temperature37–41 °C (99–106 °F) track temperature2.5 m/s (8.2 ft/s) wind from the southwest[4],0,0,0,0,1,Race circuit,Clockwise,5.848,53.0,309.745,96663.0,96976.0,96793.33333333331,27,10,149,1,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,148.0,87.0,77.0,83.0,82.0 +3.0,5,11,0.0,52,,46.0,7.0,101179.0,208.074,ricciardo,3.0,Australian,red_bull,Austrian,2016,4,Russian Grand Prix,43200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,+1 Lap,0.0,57.0,3.0,0.0,98091.0,97569.0,97125.0,35,27,Partly cloudy16 °C (61 °F) air temperature37–41 °C (99–106 °F) track temperature2.5 m/s (8.2 ft/s) wind from the southwest[4],0,0,0,0,1,Race circuit,Clockwise,5.848,53.0,309.745,97125.0,98091.0,97595.0,22,5,92,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,96.0,84.0,79.0,78.0,77.0 +6.0,1,1,25.0,53,5561997.0,52.0,1.0,99094.0,212.452,rosberg,6.0,German,mercedes,German,2016,4,Russian Grand Prix,43200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,3.0,157.0,1.0,4.0,96119.0,95337.0,95417.0,39,31,Partly cloudy16 °C (61 °F) air temperature37–41 °C (99–106 °F) track temperature2.5 m/s (8.2 ft/s) wind from the southwest[4],0,0,0,0,1,Race circuit,Clockwise,5.848,53.0,309.745,95337.0,96119.0,95624.33333333331,21,10,189,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,186.0,90.0,88.0,92.0,90.0 +55.0,11,12,0.0,52,,41.0,15.0,102205.0,205.986,sainz,55.0,Spanish,toro_rosso,Italian,2016,4,Russian Grand Prix,43200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,+1 Lap,0.0,17.0,6.0,0.0,97784.0,97652.0,97652.0,30,22,Partly cloudy16 °C (61 °F) air temperature37–41 °C (99–106 °F) track temperature2.5 m/s (8.2 ft/s) wind from the southwest[4],0,0,0,0,1,Race circuit,Clockwise,5.848,53.0,309.745,97652.0,97784.0,97696.0,21,1,23,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +94.0,20,18,0.0,51,,43.0,11.0,101907.0,206.588,wehrlein,94.0,German,manor,British,2016,4,Russian Grand Prix,43200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,+2 Laps,0.0,0.0,11.0,0.0,99399.0,99399.0,99399.0,30,22,Partly cloudy16 °C (61 °F) air temperature37–41 °C (99–106 °F) track temperature2.5 m/s (8.2 ft/s) wind from the southwest[4],0,0,0,0,1,Race circuit,Clockwise,5.848,53.0,309.745,99399.0,99399.0,99399.0,22,0,4,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,1,58.0,72.0,78.0,73.0,72.0 +77.0,7,5,10.0,66,6145288.0,60.0,8.0,89081.0,188.12,bottas,77.0,Finnish,williams,British,2016,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,65.0,4.0,0.0,84251.0,84023.0,83522.0,35,27,Partly cloudy20–22 °C (68–72 °F) air temperature39–41 °C (102–106 °F) track temperature2 m/s (6.6 ft/s) wind from the north[4],0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,83522.0,84251.0,83932.0,24,3,62,0,0,0,1,0,0,0,1,1,1,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +22.0,12,9,2.0,65,,39.0,18.0,90260.0,185.663,button,22.0,British,mclaren,British,2016,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,12.0,8.0,0.0,84583.0,84348.0,84348.0,44,36,Partly cloudy20–22 °C (68–72 °F) air temperature39–41 °C (102–106 °F) track temperature2 m/s (6.6 ft/s) wind from the north[4],0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,84348.0,84583.0,84426.33333333333,26,10,190,0,0,0,0,0,0,0,0,0,1,0,0,1,1,0,0,0,0,191.0,86.0,84.0,88.0,86.0 +9.0,19,12,0.0,65,,42.0,12.0,89715.0,186.791,ericsson,9.0,Swedish,sauber,Swiss,2016,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,0.0,10.0,0.0,85202.0,85202.0,85202.0,34,26,Partly cloudy20–22 °C (68–72 °F) air temperature39–41 °C (102–106 °F) track temperature2 m/s (6.6 ft/s) wind from the north[4],0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,85202.0,85202.0,85202.0,24,2,40,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,1,1,0,72.0,76.0,76.0,76.0,74.0 +21.0,16,11,0.0,65,,34.0,17.0,90139.0,185.912,gutierrez,21.0,Mexican,haas,American,2016,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,22.0,6.0,0.0,84406.0,84778.0,84778.0,33,25,Partly cloudy20–22 °C (68–72 °F) air temperature39–41 °C (102–106 °F) track temperature2 m/s (6.6 ft/s) wind from the north[4],0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,84406.0,84778.0,84654.0,22,3,43,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +88.0,22,17,0.0,65,,52.0,10.0,89402.0,187.445,haryanto,88.0,Indonesian,manor,British,2016,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,0.0,11.0,0.0,85939.0,85939.0,85939.0,31,23,Partly cloudy20–22 °C (68–72 °F) air temperature39–41 °C (102–106 °F) track temperature2 m/s (6.6 ft/s) wind from the north[4],0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,85939.0,85939.0,85939.0,23,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +30.0,17,13,0.0,65,,35.0,14.0,89779.0,186.658,jolyon_palmer,30.0,British,renault,French,2016,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,6.0,9.0,0.0,84903.0,84903.0,84903.0,33,25,Partly cloudy20–22 °C (68–72 °F) air temperature39–41 °C (102–106 °F) track temperature2 m/s (6.6 ft/s) wind from the north[4],0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,84903.0,84903.0,84903.0,25,0,5,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +20.0,15,14,0.0,65,,57.0,5.0,88716.0,188.894,kevin_magnussen,20.0,Danish,renault,French,2016,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,6.0,9.0,0.0,84669.0,84625.0,84625.0,32,24,Partly cloudy20–22 °C (68–72 °F) air temperature39–41 °C (102–106 °F) track temperature2 m/s (6.6 ft/s) wind from the north[4],0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,84625.0,84669.0,84639.66666666667,22,2,25,0,0,0,0,0,0,1,0,0,0,1,1,0,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +26.0,13,10,1.0,65,,53.0,1.0,86948.0,192.735,kvyat,26.0,Russian,toro_rosso,Italian,2016,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,26.0,5.0,0.0,84696.0,84445.0,84445.0,30,22,Partly cloudy20–22 °C (68–72 °F) air temperature39–41 °C (102–106 °F) track temperature2 m/s (6.6 ft/s) wind from the north[4],0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,84445.0,84696.0,84528.66666666667,20,2,43,1,0,1,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +19.0,18,8,4.0,66,6180724.0,43.0,9.0,89238.0,187.789,massa,19.0,Brazilian,williams,British,2016,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,65.0,4.0,0.0,84941.0,84941.0,84941.0,43,35,Partly cloudy20–22 °C (68–72 °F) air temperature39–41 °C (102–106 °F) track temperature2 m/s (6.6 ft/s) wind from the north[4],0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,84941.0,84941.0,84941.0,25,10,183,0,0,0,0,2,1,0,1,0,0,0,0,0,0,0,0,0,0,183.0,90.0,89.0,91.0,90.0 +33.0,4,1,25.0,66,6100017.0,36.0,6.0,88816.0,188.682,max_verstappen,33.0,Dutch,red_bull,Austrian,2016,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,94.0,3.0,1.0,83578.0,83178.0,83087.0,27,19,Partly cloudy20–22 °C (68–72 °F) air temperature39–41 °C (102–106 °F) track temperature2 m/s (6.6 ft/s) wind from the north[4],0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,83087.0,83578.0,83281.0,18,1,24,0,0,0,0,0,1,0,1,0,1,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +12.0,20,15,0.0,65,,38.0,16.0,89905.0,186.396,nasr,12.0,Brazilian,sauber,Swiss,2016,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,0.0,10.0,0.0,85579.0,85579.0,85579.0,32,24,Partly cloudy20–22 °C (68–72 °F) air temperature39–41 °C (102–106 °F) track temperature2 m/s (6.6 ft/s) wind from the north[4],0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,85579.0,85579.0,85579.0,23,1,24,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,9,7,6.0,66,6179555.0,37.0,15.0,89801.0,186.612,perez,11.0,Mexican,force_india,Indian,2016,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,14.0,7.0,0.0,84698.0,84003.0,83782.0,34,26,Partly cloudy20–22 °C (68–72 °F) air temperature39–41 °C (102–106 °F) track temperature2 m/s (6.6 ft/s) wind from the north[4],0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,83782.0,84698.0,84161.0,21,5,100,0,0,0,0,0,0,0,0,1,0,1,0,1,0,0,1,0,0,100.0,83.0,81.0,81.0,78.0 +7.0,5,2,18.0,66,6100633.0,38.0,4.0,88538.0,189.274,raikkonen,7.0,Finnish,ferrari,Italian,2016,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,109.0,2.0,0.0,83796.0,83504.0,83113.0,45,37,Partly cloudy20–22 °C (68–72 °F) air temperature39–41 °C (102–106 °F) track temperature2 m/s (6.6 ft/s) wind from the north[4],0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,83113.0,83796.0,83471.0,27,10,150,2,1,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,152.0,88.0,78.0,87.0,84.0 +3.0,3,4,12.0,66,6143967.0,46.0,3.0,88209.0,189.98,ricciardo,3.0,Australian,red_bull,Austrian,2016,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,94.0,3.0,1.0,83749.0,83585.0,82680.0,35,27,Partly cloudy20–22 °C (68–72 °F) air temperature39–41 °C (102–106 °F) track temperature2 m/s (6.6 ft/s) wind from the north[4],0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,82680.0,83749.0,83338.0,22,5,93,0,0,0,3,0,0,0,0,0,0,1,0,0,0,0,0,0,0,96.0,84.0,79.0,78.0,77.0 +55.0,8,6,8.0,66,6161412.0,42.0,11.0,89663.0,186.899,sainz,55.0,Spanish,toro_rosso,Italian,2016,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,26.0,5.0,0.0,84496.0,84077.0,83643.0,30,22,Partly cloudy20–22 °C (68–72 °F) air temperature39–41 °C (102–106 °F) track temperature2 m/s (6.6 ft/s) wind from the north[4],0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,83643.0,84496.0,84072.0,21,1,24,0,0,0,0,0,0,0,0,2,0,0,1,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +5.0,6,3,15.0,66,6105598.0,39.0,2.0,87974.0,190.488,vettel,5.0,German,ferrari,Italian,2016,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,109.0,2.0,0.0,84124.0,83688.0,83334.0,37,29,Partly cloudy20–22 °C (68–72 °F) air temperature39–41 °C (102–106 °F) track temperature2 m/s (6.6 ft/s) wind from the north[4],0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,83334.0,84124.0,83715.33333333333,20,9,163,2,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,158.0,89.0,81.0,86.0,84.0 +94.0,21,16,0.0,65,,37.0,19.0,91182.0,183.786,wehrlein,94.0,German,manor,British,2016,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,0.0,11.0,0.0,85745.0,85745.0,85745.0,30,22,Partly cloudy20–22 °C (68–72 °F) air temperature39–41 °C (102–106 °F) track temperature2 m/s (6.6 ft/s) wind from the north[4],0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,85745.0,85745.0,85745.0,22,0,5,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,2,58.0,72.0,78.0,73.0,72.0 +14.0,9,5,10.0,78,7254209.0,72.0,8.0,79170.0,151.739,alonso,14.0,Spanish,mclaren,British,2016,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,24.0,7.0,0.0,75504.0,75107.0,75363.0,43,35,"Rainy at start, dry later17–18 °C (63–64 °F) air temperature20–22 °C (68–72 °F) track temperature2 m/s (6.6 ft/s) wind from the north[4]",0,0,1,1,0,Street circuit,Clockwise,3.337,78.0,260.286,75107.0,75504.0,75324.66666666667,25,10,189,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,186.0,90.0,88.0,92.0,90.0 +77.0,10,12,0.0,77,,66.0,10.0,79223.0,151.637,bottas,77.0,Finnish,williams,British,2016,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,66.0,4.0,0.0,75521.0,75273.0,75273.0,35,27,"Rainy at start, dry later17–18 °C (63–64 °F) air temperature20–22 °C (68–72 °F) track temperature2 m/s (6.6 ft/s) wind from the north[4]",0,0,1,1,0,Street circuit,Clockwise,3.337,78.0,260.286,75273.0,75521.0,75355.66666666667,24,3,63,0,0,0,1,1,0,0,1,1,1,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +22.0,13,9,2.0,77,,66.0,12.0,79670.0,150.786,button,22.0,British,mclaren,British,2016,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,24.0,7.0,0.0,75554.0,75352.0,75352.0,44,36,"Rainy at start, dry later17–18 °C (63–64 °F) air temperature20–22 °C (68–72 °F) track temperature2 m/s (6.6 ft/s) wind from the north[4]",0,0,1,1,0,Street circuit,Clockwise,3.337,78.0,260.286,75352.0,75554.0,75419.33333333333,26,10,191,0,0,0,0,0,0,0,0,1,1,0,0,1,1,0,0,0,0,191.0,86.0,84.0,88.0,86.0 +8.0,15,13,0.0,76,,65.0,14.0,80219.0,149.755,grosjean,8.0,French,haas,American,2016,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+2 Laps,0.0,22.0,8.0,0.0,75465.0,75571.0,75571.0,38,30,"Rainy at start, dry later17–18 °C (63–64 °F) air temperature20–22 °C (68–72 °F) track temperature2 m/s (6.6 ft/s) wind from the north[4]",0,0,1,1,0,Street circuit,Clockwise,3.337,78.0,260.286,75465.0,75571.0,75535.66666666667,23,7,89,0,0,0,0,1,1,0,1,0,0,0,0,0,0,0,0,0,1,91.0,83.0,77.0,75.0,75.0 +21.0,12,11,0.0,77,,69.0,7.0,79131.0,151.814,gutierrez,21.0,Mexican,haas,American,2016,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,22.0,8.0,0.0,75592.0,75293.0,75293.0,33,25,"Rainy at start, dry later17–18 °C (63–64 °F) air temperature20–22 °C (68–72 °F) track temperature2 m/s (6.6 ft/s) wind from the north[4]",0,0,1,1,0,Street circuit,Clockwise,3.337,78.0,260.286,75293.0,75592.0,75392.66666666667,22,3,44,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +44.0,3,1,25.0,78,7169133.0,71.0,1.0,77939.0,154.135,hamilton,44.0,British,mercedes,German,2016,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,188.0,1.0,5.0,74826.0,74056.0,73942.0,39,31,"Rainy at start, dry later17–18 °C (63–64 °F) air temperature20–22 °C (68–72 °F) track temperature2 m/s (6.6 ft/s) wind from the north[4]",0,0,1,1,0,Street circuit,Clockwise,3.337,78.0,260.286,73942.0,74826.0,74274.66666666667,22,9,173,3,2,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,176.0,88.0,87.0,89.0,87.0 +88.0,19,15,0.0,74,,70.0,13.0,79868.0,150.413,haryanto,88.0,Indonesian,manor,British,2016,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+4 Laps,0.0,0.0,11.0,0.0,77295.0,77295.0,77295.0,31,23,"Rainy at start, dry later17–18 °C (63–64 °F) air temperature20–22 °C (68–72 °F) track temperature2 m/s (6.6 ft/s) wind from the north[4]",0,0,1,1,0,Street circuit,Clockwise,3.337,78.0,260.286,77295.0,77295.0,77295.0,23,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,58.0,72.0,78.0,73.0,72.0 +27.0,5,6,8.0,78,7262132.0,74.0,11.0,79232.0,151.62,hulkenberg,27.0,German,force_india,Indian,2016,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,37.0,5.0,0.0,75333.0,74989.0,74726.0,37,29,"Rainy at start, dry later17–18 °C (63–64 °F) air temperature20–22 °C (68–72 °F) track temperature2 m/s (6.6 ft/s) wind from the north[4]",0,0,1,1,0,Street circuit,Clockwise,3.337,78.0,260.286,74726.0,75333.0,75016.0,23,6,102,0,0,0,0,0,0,1,0,0,0,0,0,0,0,2,0,0,0,102.0,87.0,81.0,81.0,79.0 +19.0,14,10,1.0,77,,69.0,9.0,79213.0,151.656,massa,19.0,Brazilian,williams,British,2016,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,66.0,4.0,0.0,75710.0,75385.0,75385.0,43,35,"Rainy at start, dry later17–18 °C (63–64 °F) air temperature20–22 °C (68–72 °F) track temperature2 m/s (6.6 ft/s) wind from the north[4]",0,0,1,1,0,Street circuit,Clockwise,3.337,78.0,260.286,75385.0,75710.0,75493.33333333333,25,10,184,0,0,0,0,2,1,0,2,0,0,0,0,0,0,0,0,0,0,183.0,90.0,89.0,91.0,90.0 +11.0,7,3,15.0,78,7182958.0,64.0,4.0,78446.0,153.139,perez,11.0,Mexican,force_india,Indian,2016,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,37.0,5.0,0.0,75328.0,74937.0,74902.0,34,26,"Rainy at start, dry later17–18 °C (63–64 °F) air temperature20–22 °C (68–72 °F) track temperature2 m/s (6.6 ft/s) wind from the north[4]",0,0,1,1,0,Street circuit,Clockwise,3.337,78.0,260.286,74902.0,75328.0,75055.66666666667,21,5,101,0,0,0,0,0,0,1,0,1,0,1,0,1,0,0,1,0,0,100.0,83.0,81.0,81.0,78.0 +3.0,1,2,18.0,78,7176385.0,67.0,3.0,78294.0,153.437,ricciardo,3.0,Australian,red_bull,Austrian,2016,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,112.0,3.0,1.0,74912.0,74357.0,73622.0,35,27,"Rainy at start, dry later17–18 °C (63–64 °F) air temperature20–22 °C (68–72 °F) track temperature2 m/s (6.6 ft/s) wind from the north[4]",0,0,1,1,0,Street circuit,Clockwise,3.337,78.0,260.286,73622.0,74912.0,74297.0,22,5,94,0,0,0,4,0,0,0,0,0,0,1,0,0,0,0,0,0,0,96.0,84.0,79.0,78.0,77.0 +6.0,2,7,6.0,78,7262423.0,74.0,6.0,78763.0,152.523,rosberg,6.0,German,mercedes,German,2016,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,4.0,188.0,1.0,5.0,74873.0,74043.0,73791.0,39,31,"Rainy at start, dry later17–18 °C (63–64 °F) air temperature20–22 °C (68–72 °F) track temperature2 m/s (6.6 ft/s) wind from the north[4]",0,0,1,1,0,Street circuit,Clockwise,3.337,78.0,260.286,73791.0,74873.0,74235.66666666667,21,10,191,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,191.0,86.0,84.0,88.0,86.0 +55.0,6,8,4.0,77,,70.0,5.0,78519.0,152.997,sainz,55.0,Spanish,toro_rosso,Italian,2016,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,30.0,6.0,0.0,75467.0,74805.0,74749.0,30,22,"Rainy at start, dry later17–18 °C (63–64 °F) air temperature20–22 °C (68–72 °F) track temperature2 m/s (6.6 ft/s) wind from the north[4]",0,0,1,1,0,Street circuit,Clockwise,3.337,78.0,260.286,74749.0,75467.0,75007.0,21,1,25,0,0,0,0,0,1,0,0,2,0,0,1,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +5.0,4,4,12.0,78,7184979.0,62.0,2.0,78005.0,154.005,vettel,5.0,German,ferrari,Italian,2016,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,121.0,2.0,0.0,74610.0,74318.0,74552.0,37,29,"Rainy at start, dry later17–18 °C (63–64 °F) air temperature20–22 °C (68–72 °F) track temperature2 m/s (6.6 ft/s) wind from the north[4]",0,0,1,1,0,Street circuit,Clockwise,3.337,78.0,260.286,74318.0,74610.0,74493.33333333333,20,9,164,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,162.0,86.0,81.0,84.0,83.0 +94.0,20,14,0.0,76,,60.0,15.0,80372.0,149.469,wehrlein,94.0,German,manor,British,2016,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+2 Laps,0.0,0.0,11.0,0.0,77452.0,77452.0,77452.0,30,22,"Rainy at start, dry later17–18 °C (63–64 °F) air temperature20–22 °C (68–72 °F) track temperature2 m/s (6.6 ft/s) wind from the north[4]",0,0,1,1,0,Street circuit,Clockwise,3.337,78.0,260.286,77452.0,77452.0,77452.0,22,0,6,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,2,58.0,72.0,78.0,73.0,72.0 +14.0,10,11,0.0,69,,67.0,13.0,77307.0,203.081,alonso,14.0,Spanish,mclaren,British,2016,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,24.0,7.0,0.0,75026.0,74260.0,74338.0,43,35,Cloudy12 °C (54 °F) air temperature21–23 °C (70–73 °F) track temperature2.5 m/s (8.2 ft/s) wind from the southeast[4],0,0,0,0,1,Street circuit,Clockwise,4.361,70.0,305.27,74260.0,75026.0,74541.33333333333,25,10,190,0,0,0,0,1,1,0,0,0,0,0,1,0,0,0,0,0,0,191.0,86.0,84.0,88.0,86.0 +77.0,7,3,15.0,70,5511718.0,68.0,10.0,76938.0,204.055,bottas,77.0,Finnish,williams,British,2016,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,81.0,4.0,0.0,74389.0,73791.0,73670.0,35,27,Cloudy12 °C (54 °F) air temperature21–23 °C (70–73 °F) track temperature2.5 m/s (8.2 ft/s) wind from the southeast[4],0,0,0,0,1,Street circuit,Clockwise,4.361,70.0,305.27,73670.0,74389.0,73950.0,24,3,64,0,0,0,1,1,0,0,1,1,1,0,1,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +9.0,21,15,0.0,68,,63.0,17.0,78100.0,201.019,ericsson,9.0,Swedish,sauber,Swiss,2016,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+2 Laps,0.0,0.0,10.0,0.0,75635.0,75635.0,75635.0,34,26,Cloudy12 °C (54 °F) air temperature21–23 °C (70–73 °F) track temperature2.5 m/s (8.2 ft/s) wind from the southeast[4],0,0,0,0,1,Street circuit,Clockwise,4.361,70.0,305.27,75635.0,75635.0,75635.0,24,2,42,0,0,0,0,0,0,0,0,0,0,0,2,0,1,0,2,1,0,72.0,76.0,76.0,76.0,74.0 +8.0,14,14,0.0,68,,50.0,12.0,77281.0,203.149,grosjean,8.0,French,haas,American,2016,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+2 Laps,0.0,22.0,8.0,0.0,75444.0,74803.0,74803.0,38,30,Cloudy12 °C (54 °F) air temperature21–23 °C (70–73 °F) track temperature2.5 m/s (8.2 ft/s) wind from the southeast[4],0,0,0,0,1,Street circuit,Clockwise,4.361,70.0,305.27,74803.0,75444.0,75016.66666666667,23,7,90,0,0,0,0,1,1,0,1,0,0,0,0,1,0,0,0,0,1,91.0,83.0,77.0,75.0,75.0 +21.0,13,13,0.0,68,,48.0,15.0,77728.0,201.981,gutierrez,21.0,Mexican,haas,American,2016,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+2 Laps,0.0,22.0,8.0,0.0,75148.0,74571.0,74571.0,33,25,Cloudy12 °C (54 °F) air temperature21–23 °C (70–73 °F) track temperature2.5 m/s (8.2 ft/s) wind from the southeast[4],0,0,0,0,1,Street circuit,Clockwise,4.361,70.0,305.27,74571.0,75148.0,74763.33333333333,22,3,45,0,0,0,0,0,0,0,0,0,0,2,0,0,1,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +44.0,1,1,25.0,70,5465296.0,68.0,2.0,75981.0,206.625,hamilton,44.0,British,mercedes,German,2016,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,1.0,223.0,1.0,6.0,74121.0,73076.0,72812.0,39,31,Cloudy12 °C (54 °F) air temperature21–23 °C (70–73 °F) track temperature2.5 m/s (8.2 ft/s) wind from the southeast[4],0,0,0,0,1,Street circuit,Clockwise,4.361,70.0,305.27,72812.0,74121.0,73336.33333333333,22,9,174,4,2,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,176.0,88.0,87.0,89.0,87.0 +88.0,19,19,0.0,68,,57.0,20.0,78658.0,199.593,haryanto,88.0,Indonesian,manor,British,2016,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+2 Laps,0.0,0.0,11.0,0.0,77052.0,77052.0,77052.0,31,23,Cloudy12 °C (54 °F) air temperature21–23 °C (70–73 °F) track temperature2.5 m/s (8.2 ft/s) wind from the southeast[4],0,0,0,0,1,Street circuit,Clockwise,4.361,70.0,305.27,77052.0,77052.0,77052.0,23,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,2,0,58.0,72.0,78.0,73.0,72.0 +27.0,9,8,4.0,69,,68.0,8.0,76604.0,204.944,hulkenberg,27.0,German,force_india,Indian,2016,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,42.0,5.0,0.0,74663.0,74166.0,73952.0,37,29,Cloudy12 °C (54 °F) air temperature21–23 °C (70–73 °F) track temperature2.5 m/s (8.2 ft/s) wind from the southeast[4],0,0,0,0,1,Street circuit,Clockwise,4.361,70.0,305.27,73952.0,74663.0,74260.33333333333,23,6,103,0,0,0,0,0,1,1,0,0,0,0,0,0,0,2,0,0,0,102.0,87.0,81.0,81.0,79.0 +20.0,22,16,0.0,68,,42.0,18.0,78224.0,200.7,kevin_magnussen,20.0,Danish,renault,French,2016,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+2 Laps,0.0,6.0,9.0,0.0,77052.0,77052.0,77052.0,32,24,Cloudy12 °C (54 °F) air temperature21–23 °C (70–73 °F) track temperature2.5 m/s (8.2 ft/s) wind from the southeast[4],0,0,0,0,1,Street circuit,Clockwise,4.361,70.0,305.27,77052.0,77052.0,77052.0,22,2,27,0,0,0,0,0,0,1,0,0,0,1,1,0,1,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +26.0,15,12,0.0,69,,50.0,11.0,76942.0,204.044,kvyat,26.0,Russian,toro_rosso,Italian,2016,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,32.0,6.0,0.0,74829.0,74457.0,74457.0,30,22,Cloudy12 °C (54 °F) air temperature21–23 °C (70–73 °F) track temperature2.5 m/s (8.2 ft/s) wind from the southeast[4],0,0,0,0,1,Street circuit,Clockwise,4.361,70.0,305.27,74457.0,74829.0,74581.0,20,2,45,1,0,1,0,0,0,1,0,0,1,0,0,0,0,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +33.0,5,4,12.0,70,5518316.0,49.0,4.0,76319.0,205.71,max_verstappen,33.0,Dutch,red_bull,Austrian,2016,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,1.0,130.0,3.0,1.0,74601.0,73793.0,73414.0,27,19,Cloudy12 °C (54 °F) air temperature21–23 °C (70–73 °F) track temperature2.5 m/s (8.2 ft/s) wind from the southeast[4],0,0,0,0,1,Street circuit,Clockwise,4.361,70.0,305.27,73414.0,74601.0,73936.0,18,1,26,1,0,0,0,0,1,0,1,0,1,0,0,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +12.0,18,18,0.0,68,,66.0,16.0,77883.0,201.579,nasr,12.0,Brazilian,sauber,Swiss,2016,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+2 Laps,0.0,0.0,10.0,0.0,76663.0,76663.0,76663.0,32,24,Cloudy12 °C (54 °F) air temperature21–23 °C (70–73 °F) track temperature2.5 m/s (8.2 ft/s) wind from the southeast[4],0,0,0,0,1,Street circuit,Clockwise,4.361,70.0,305.27,76663.0,76663.0,76663.0,23,1,26,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,1,1,0,58.0,72.0,78.0,73.0,72.0 +11.0,11,10,1.0,69,,54.0,6.0,76559.0,205.065,perez,11.0,Mexican,force_india,Indian,2016,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,42.0,5.0,0.0,74814.0,74317.0,74317.0,34,26,Cloudy12 °C (54 °F) air temperature21–23 °C (70–73 °F) track temperature2.5 m/s (8.2 ft/s) wind from the southeast[4],0,0,0,0,1,Street circuit,Clockwise,4.361,70.0,305.27,74317.0,74814.0,74482.66666666667,21,5,102,1,0,1,0,0,0,1,0,1,0,1,0,1,0,0,1,0,0,102.0,87.0,81.0,81.0,79.0 +7.0,6,6,8.0,70,5528313.0,44.0,9.0,76919.0,204.105,raikkonen,7.0,Finnish,ferrari,Italian,2016,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,147.0,2.0,0.0,74477.0,73849.0,73579.0,45,37,Cloudy12 °C (54 °F) air temperature21–23 °C (70–73 °F) track temperature2.5 m/s (8.2 ft/s) wind from the southeast[4],0,0,0,0,1,Street circuit,Clockwise,4.361,70.0,305.27,73579.0,74477.0,73968.33333333333,27,10,152,3,2,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,152.0,88.0,78.0,87.0,84.0 +3.0,4,7,6.0,70,5528930.0,51.0,5.0,76506.0,205.207,ricciardo,3.0,Australian,red_bull,Austrian,2016,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,130.0,3.0,1.0,74030.0,73540.0,73166.0,35,27,Cloudy12 °C (54 °F) air temperature21–23 °C (70–73 °F) track temperature2.5 m/s (8.2 ft/s) wind from the southeast[4],0,0,0,0,1,Street circuit,Clockwise,4.361,70.0,305.27,73166.0,74030.0,73578.66666666667,22,5,95,1,1,0,4,0,0,0,0,0,0,1,0,0,0,0,0,0,0,96.0,84.0,79.0,78.0,77.0 +6.0,2,5,10.0,70,5527389.0,60.0,1.0,75599.0,207.669,rosberg,6.0,German,mercedes,German,2016,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,4.0,223.0,1.0,6.0,73714.0,73094.0,72874.0,39,31,Cloudy12 °C (54 °F) air temperature21–23 °C (70–73 °F) track temperature2.5 m/s (8.2 ft/s) wind from the southeast[4],0,0,0,0,1,Street circuit,Clockwise,4.361,70.0,305.27,72874.0,73714.0,73227.33333333333,21,10,192,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,191.0,86.0,84.0,88.0,86.0 +55.0,20,9,2.0,69,,54.0,7.0,76578.0,205.014,sainz,55.0,Spanish,toro_rosso,Italian,2016,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,32.0,6.0,0.0,74714.0,81956.0,81956.0,30,22,Cloudy12 °C (54 °F) air temperature21–23 °C (70–73 °F) track temperature2.5 m/s (8.2 ft/s) wind from the southeast[4],0,0,0,0,1,Street circuit,Clockwise,4.361,70.0,305.27,74714.0,81956.0,79542.0,21,1,26,0,0,0,0,0,1,0,1,2,0,0,1,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +5.0,3,2,18.0,70,5470307.0,70.0,3.0,76297.0,205.769,vettel,5.0,German,ferrari,Italian,2016,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,147.0,2.0,0.0,73925.0,73857.0,72990.0,37,29,Cloudy12 °C (54 °F) air temperature21–23 °C (70–73 °F) track temperature2.5 m/s (8.2 ft/s) wind from the southeast[4],0,0,0,0,1,Street circuit,Clockwise,4.361,70.0,305.27,72990.0,73925.0,73590.66666666667,20,9,165,3,1,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,162.0,86.0,81.0,84.0,83.0 +94.0,17,17,0.0,68,,48.0,19.0,78282.0,200.551,wehrlein,94.0,German,manor,British,2016,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+2 Laps,0.0,0.0,11.0,0.0,75599.0,75599.0,75599.0,30,22,Cloudy12 °C (54 °F) air temperature21–23 °C (70–73 °F) track temperature2.5 m/s (8.2 ft/s) wind from the southeast[4],0,0,0,0,1,Street circuit,Clockwise,4.361,70.0,305.27,75599.0,75599.0,75599.0,22,0,7,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,2,0,2,58.0,72.0,78.0,73.0,72.0 +77.0,8,6,8.0,51,5633252.0,50.0,9.0,107604.0,200.836,bottas,77.0,Finnish,williams,British,2016,8,European Grand Prix,46800000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,90.0,4.0,0.0,104706.0,104477.0,105246.0,35,27,Partly cloudy30–33 °C (86–91 °F) air temperature39–45 °C (102–113 °F) track temperature2.5 m/s (8.2 ft/s) wind from the southeast[4],0,0,0,0,1,Street circuit,Anti-clockwise,6.003,51.0,306.049,104477.0,105246.0,104809.66666666669,24,3,65,1,0,1,1,1,0,0,1,1,1,0,1,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +22.0,19,11,0.0,51,5677183.0,50.0,10.0,107622.0,200.802,button,22.0,British,mclaren,British,2016,8,European Grand Prix,46800000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,24.0,7.0,0.0,105804.0,105804.0,105804.0,44,36,Partly cloudy30–33 °C (86–91 °F) air temperature39–45 °C (102–113 °F) track temperature2.5 m/s (8.2 ft/s) wind from the southeast[4],0,0,0,0,1,Street circuit,Anti-clockwise,6.003,51.0,306.049,105804.0,105804.0,105804.0,26,10,193,0,0,0,0,0,0,0,0,2,1,0,0,1,1,0,0,0,0,197.0,86.0,85.0,88.0,86.0 +9.0,20,17,0.0,50,,48.0,17.0,108898.0,198.449,ericsson,9.0,Swedish,sauber,Swiss,2016,8,European Grand Prix,46800000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,+1 Lap,0.0,0.0,10.0,0.0,106231.0,106231.0,106231.0,34,26,Partly cloudy30–33 °C (86–91 °F) air temperature39–45 °C (102–113 °F) track temperature2.5 m/s (8.2 ft/s) wind from the southeast[4],0,0,0,0,1,Street circuit,Anti-clockwise,6.003,51.0,306.049,106231.0,106231.0,106231.0,24,2,43,0,0,0,0,0,0,0,0,0,0,0,2,0,1,1,2,1,0,72.0,76.0,76.0,76.0,74.0 +8.0,11,13,0.0,50,,48.0,14.0,107943.0,200.205,grosjean,8.0,French,haas,American,2016,8,European Grand Prix,46800000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,+1 Lap,0.0,22.0,8.0,0.0,105507.0,104755.0,104755.0,38,30,Partly cloudy30–33 °C (86–91 °F) air temperature39–45 °C (102–113 °F) track temperature2.5 m/s (8.2 ft/s) wind from the southeast[4],0,0,0,0,1,Street circuit,Anti-clockwise,6.003,51.0,306.049,104755.0,105507.0,105005.66666666669,23,7,91,0,0,0,0,1,1,0,1,0,0,0,0,1,1,0,0,0,1,96.0,84.0,79.0,78.0,77.0 +21.0,14,16,0.0,50,,50.0,7.0,107563.0,200.912,gutierrez,21.0,Mexican,haas,American,2016,8,European Grand Prix,46800000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,+1 Lap,0.0,22.0,8.0,0.0,105300.0,105349.0,105349.0,33,25,Partly cloudy30–33 °C (86–91 °F) air temperature39–45 °C (102–113 °F) track temperature2.5 m/s (8.2 ft/s) wind from the southeast[4],0,0,0,0,1,Street circuit,Anti-clockwise,6.003,51.0,306.049,105300.0,105349.0,105332.66666666669,22,3,46,0,0,0,0,0,0,0,0,0,0,2,0,1,1,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +44.0,10,5,10.0,51,5628701.0,42.0,2.0,106822.0,202.306,hamilton,44.0,British,mercedes,German,2016,8,European Grand Prix,46800000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,2.0,258.0,1.0,7.0,104259.0,103526.0,121954.0,39,31,Partly cloudy30–33 °C (86–91 °F) air temperature39–45 °C (102–113 °F) track temperature2.5 m/s (8.2 ft/s) wind from the southeast[4],0,0,0,0,1,Street circuit,Anti-clockwise,6.003,51.0,306.049,103526.0,121954.0,109913.0,22,9,175,5,2,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,176.0,88.0,87.0,89.0,87.0 +88.0,16,18,0.0,49,,27.0,21.0,111365.0,194.053,haryanto,88.0,Indonesian,manor,British,2016,8,European Grand Prix,46800000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,+2 Laps,0.0,0.0,11.0,0.0,105665.0,105665.0,105665.0,31,23,Partly cloudy30–33 °C (86–91 °F) air temperature39–45 °C (102–113 °F) track temperature2.5 m/s (8.2 ft/s) wind from the southeast[4],0,0,0,0,1,Street circuit,Anti-clockwise,6.003,51.0,306.049,105665.0,105665.0,105665.0,23,0,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,2,0,58.0,72.0,78.0,73.0,72.0 +27.0,12,9,2.0,51,5650074.0,37.0,15.0,108012.0,200.077,hulkenberg,27.0,German,force_india,Indian,2016,8,European Grand Prix,46800000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,59.0,5.0,0.0,104860.0,104824.0,104824.0,37,29,Partly cloudy30–33 °C (86–91 °F) air temperature39–45 °C (102–113 °F) track temperature2.5 m/s (8.2 ft/s) wind from the southeast[4],0,0,0,0,1,Street circuit,Anti-clockwise,6.003,51.0,306.049,104824.0,104860.0,104836.0,23,6,104,0,0,0,0,0,1,1,1,0,0,0,0,0,0,2,0,0,0,107.0,80.0,80.0,79.0,78.0 +30.0,21,15,0.0,50,,48.0,8.0,107583.0,200.875,jolyon_palmer,30.0,British,renault,French,2016,8,European Grand Prix,46800000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,+1 Lap,0.0,6.0,9.0,0.0,106394.0,106394.0,106394.0,33,25,Partly cloudy30–33 °C (86–91 °F) air temperature39–45 °C (102–113 °F) track temperature2.5 m/s (8.2 ft/s) wind from the southeast[4],0,0,0,0,1,Street circuit,Anti-clockwise,6.003,51.0,306.049,106394.0,106394.0,106394.0,25,0,8,0,0,0,0,0,0,0,0,0,0,1,0,2,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +20.0,22,14,0.0,50,,41.0,19.0,109282.0,197.752,kevin_magnussen,20.0,Danish,renault,French,2016,8,European Grand Prix,46800000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,+1 Lap,0.0,6.0,9.0,0.0,106348.0,106348.0,106348.0,32,24,Partly cloudy30–33 °C (86–91 °F) air temperature39–45 °C (102–113 °F) track temperature2.5 m/s (8.2 ft/s) wind from the southeast[4],0,0,0,0,1,Street circuit,Anti-clockwise,6.003,51.0,306.049,106348.0,106348.0,106348.0,22,2,28,0,0,0,0,0,0,1,0,0,0,1,1,0,1,0,1,1,0,58.0,72.0,78.0,73.0,72.0 +19.0,5,10,1.0,51,5657741.0,35.0,13.0,107761.0,200.543,massa,19.0,Brazilian,williams,British,2016,8,European Grand Prix,46800000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,90.0,4.0,0.0,105494.0,104696.0,104483.0,43,35,Partly cloudy30–33 °C (86–91 °F) air temperature39–45 °C (102–113 °F) track temperature2.5 m/s (8.2 ft/s) wind from the southeast[4],0,0,0,0,1,Street circuit,Anti-clockwise,6.003,51.0,306.049,104483.0,105494.0,104891.0,25,10,186,0,0,0,0,2,1,0,2,0,1,0,0,0,0,0,0,0,0,186.0,90.0,88.0,92.0,90.0 +33.0,9,8,4.0,51,5643062.0,50.0,3.0,106973.0,202.021,max_verstappen,33.0,Dutch,red_bull,Austrian,2016,8,European Grand Prix,46800000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,1.0,140.0,3.0,1.0,104939.0,104387.0,105570.0,27,19,Partly cloudy30–33 °C (86–91 °F) air temperature39–45 °C (102–113 °F) track temperature2.5 m/s (8.2 ft/s) wind from the southeast[4],0,0,0,0,1,Street circuit,Anti-clockwise,6.003,51.0,306.049,104387.0,105570.0,104965.33333333331,18,1,27,1,0,0,1,0,1,0,1,0,1,0,0,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +12.0,15,12,0.0,50,,48.0,11.0,107708.0,200.642,nasr,12.0,Brazilian,sauber,Swiss,2016,8,European Grand Prix,46800000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,+1 Lap,0.0,0.0,10.0,0.0,105549.0,106048.0,106048.0,32,24,Partly cloudy30–33 °C (86–91 °F) air temperature39–45 °C (102–113 °F) track temperature2.5 m/s (8.2 ft/s) wind from the southeast[4],0,0,0,0,1,Street circuit,Anti-clockwise,6.003,51.0,306.049,105549.0,106048.0,105881.66666666669,23,1,27,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,1,1,1,58.0,72.0,78.0,73.0,72.0 +11.0,7,3,15.0,51,5597607.0,45.0,4.0,106990.0,201.988,perez,11.0,Mexican,force_india,Indian,2016,8,European Grand Prix,46800000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,59.0,5.0,0.0,104462.0,103939.0,103515.0,34,26,Partly cloudy30–33 °C (86–91 °F) air temperature39–45 °C (102–113 °F) track temperature2.5 m/s (8.2 ft/s) wind from the southeast[4],0,0,0,0,1,Street circuit,Anti-clockwise,6.003,51.0,306.049,103515.0,104462.0,103972.0,21,5,103,1,0,1,0,0,0,1,0,1,1,1,0,1,0,0,1,0,0,102.0,87.0,81.0,81.0,79.0 +7.0,4,4,12.0,51,5605468.0,41.0,6.0,107181.0,201.629,raikkonen,7.0,Finnish,ferrari,Italian,2016,8,European Grand Prix,46800000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,177.0,2.0,0.0,104936.0,104533.0,104269.0,45,37,Partly cloudy30–33 °C (86–91 °F) air temperature39–45 °C (102–113 °F) track temperature2.5 m/s (8.2 ft/s) wind from the southeast[4],0,0,0,0,1,Street circuit,Anti-clockwise,6.003,51.0,306.049,104269.0,104936.0,104579.33333333331,27,10,153,3,2,1,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,152.0,88.0,78.0,87.0,84.0 +3.0,2,7,6.0,51,5641595.0,51.0,12.0,107736.0,200.59,ricciardo,3.0,Australian,red_bull,Austrian,2016,8,European Grand Prix,46800000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,140.0,3.0,1.0,104570.0,104141.0,103966.0,35,27,Partly cloudy30–33 °C (86–91 °F) air temperature39–45 °C (102–113 °F) track temperature2.5 m/s (8.2 ft/s) wind from the southeast[4],0,0,0,0,1,Street circuit,Anti-clockwise,6.003,51.0,306.049,103966.0,104570.0,104225.66666666669,22,5,96,1,1,0,4,0,0,1,0,0,0,1,0,0,0,0,0,0,0,96.0,84.0,79.0,78.0,77.0 +6.0,1,1,25.0,51,5572366.0,48.0,1.0,106485.0,202.946,rosberg,6.0,German,mercedes,German,2016,8,European Grand Prix,46800000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,4.0,258.0,1.0,7.0,103685.0,102520.0,102758.0,39,31,Partly cloudy30–33 °C (86–91 °F) air temperature39–45 °C (102–113 °F) track temperature2.5 m/s (8.2 ft/s) wind from the southeast[4],0,0,0,0,1,Street circuit,Anti-clockwise,6.003,51.0,306.049,102520.0,103685.0,102987.66666666669,21,10,193,4,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,197.0,86.0,85.0,88.0,86.0 +5.0,3,2,18.0,51,5589062.0,49.0,5.0,107028.0,201.917,vettel,5.0,German,ferrari,Italian,2016,8,European Grand Prix,46800000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,177.0,2.0,0.0,105062.0,104461.0,103966.0,37,29,Partly cloudy30–33 °C (86–91 °F) air temperature39–45 °C (102–113 °F) track temperature2.5 m/s (8.2 ft/s) wind from the southeast[4],0,0,0,0,1,Street circuit,Anti-clockwise,6.003,51.0,306.049,103966.0,105062.0,104496.33333333331,20,9,166,4,2,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,165.0,89.0,83.0,87.0,85.0 +77.0,7,9,2.0,70,,55.0,12.0,70210.0,221.814,bottas,77.0,Finnish,williams,British,2016,9,Austrian Grand Prix,43200000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,92.0,4.0,0.0,67148.0,66911.0,70440.0,35,27,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,66911.0,70440.0,68166.33333333333,24,3,66,1,0,1,1,1,1,0,1,1,1,0,1,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +22.0,3,6,8.0,71,5295813.0,70.0,9.0,70001.0,222.476,button,22.0,British,mclaren,British,2016,9,Austrian Grand Prix,43200000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,0.0,32.0,7.0,0.0,67653.0,67572.0,69900.0,44,36,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,67572.0,69900.0,68375.0,26,10,194,0,0,0,0,0,0,0,0,2,1,1,0,1,1,0,0,0,0,197.0,86.0,85.0,88.0,86.0 +9.0,18,15,0.0,70,,58.0,18.0,70704.0,220.264,ericsson,9.0,Swedish,sauber,Swiss,2016,9,Austrian Grand Prix,43200000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,0.0,11.0,0.0,68418.0,68418.0,68418.0,34,26,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,68418.0,68418.0,68418.0,24,2,44,0,0,0,0,0,0,0,0,0,0,0,2,0,1,1,2,2,0,72.0,76.0,76.0,76.0,74.0 +8.0,13,7,6.0,71,5302775.0,67.0,8.0,69925.0,222.718,grosjean,8.0,French,haas,American,2016,9,Austrian Grand Prix,43200000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,0.0,28.0,8.0,0.0,67662.0,67850.0,67850.0,38,30,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,67662.0,67850.0,67787.33333333333,23,7,92,0,0,0,0,1,1,0,1,0,0,0,0,2,1,0,0,0,1,96.0,84.0,79.0,78.0,77.0 +21.0,11,11,0.0,70,,55.0,6.0,69694.0,223.456,gutierrez,21.0,Mexican,haas,American,2016,9,Austrian Grand Prix,43200000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,28.0,8.0,0.0,67660.0,67578.0,67578.0,33,25,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,67578.0,67660.0,67605.33333333333,22,3,47,0,0,0,0,0,0,0,0,0,0,2,0,1,1,0,1,1,0,72.0,76.0,76.0,76.0,74.0 +44.0,1,1,25.0,71,5258107.0,67.0,1.0,68411.0,227.647,hamilton,44.0,British,mercedes,German,2016,9,Austrian Grand Prix,43200000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,2.0,295.0,1.0,8.0,66947.0,66228.0,67922.0,39,31,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,66228.0,67922.0,67032.33333333333,22,9,176,5,2,1,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,176.0,88.0,87.0,89.0,87.0 +88.0,20,16,0.0,70,,66.0,15.0,70342.0,221.398,haryanto,88.0,Indonesian,manor,British,2016,9,Austrian Grand Prix,43200000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,1.0,10.0,0.0,68026.0,68026.0,68026.0,31,23,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,68026.0,68026.0,68026.0,23,0,9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,2,1,58.0,72.0,78.0,73.0,72.0 +30.0,19,12,0.0,70,,53.0,13.0,70228.0,221.757,jolyon_palmer,30.0,British,renault,French,2016,9,Austrian Grand Prix,43200000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,6.0,9.0,0.0,67965.0,67965.0,67965.0,33,25,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,67965.0,67965.0,67965.0,25,0,9,0,0,0,0,0,0,0,0,0,0,1,0,2,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +20.0,17,14,0.0,70,,56.0,17.0,70450.0,221.058,kevin_magnussen,20.0,Danish,renault,French,2016,9,Austrian Grand Prix,43200000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,6.0,9.0,0.0,67941.0,67941.0,67941.0,32,24,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,67941.0,67941.0,67941.0,22,2,29,0,0,0,0,0,0,1,0,0,0,1,1,0,2,0,1,1,0,58.0,72.0,78.0,73.0,72.0 +33.0,8,2,18.0,71,5263826.0,69.0,5.0,69618.0,223.7,max_verstappen,33.0,Dutch,red_bull,Austrian,2016,9,Austrian Grand Prix,43200000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,1.0,168.0,3.0,1.0,67131.0,66866.0,71153.0,27,19,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,66866.0,71153.0,68383.33333333333,18,1,28,1,0,0,1,0,1,0,2,0,1,0,0,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +12.0,21,13,0.0,70,,46.0,16.0,70415.0,221.168,nasr,12.0,Brazilian,sauber,Swiss,2016,9,Austrian Grand Prix,43200000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,0.0,11.0,0.0,68446.0,68446.0,68446.0,32,24,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,68446.0,68446.0,68446.0,23,1,28,0,0,0,0,0,0,0,0,0,0,0,1,0,1,2,1,1,1,58.0,72.0,78.0,73.0,72.0 +7.0,4,3,15.0,71,5264131.0,66.0,4.0,68876.0,226.11,raikkonen,7.0,Finnish,ferrari,Italian,2016,9,Austrian Grand Prix,43200000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,0.0,192.0,2.0,0.0,67240.0,66940.0,69901.0,45,37,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,66940.0,69901.0,68027.0,27,10,154,3,2,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,1,152.0,88.0,78.0,87.0,84.0 +3.0,5,5,10.0,71,5289088.0,66.0,3.0,68770.0,226.459,ricciardo,3.0,Australian,red_bull,Austrian,2016,9,Austrian Grand Prix,43200000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,0.0,168.0,3.0,1.0,67500.0,66840.0,69980.0,35,27,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,66840.0,69980.0,68106.66666666667,22,5,97,1,1,0,4,0,0,2,0,0,0,1,0,0,0,0,0,0,0,100.0,83.0,81.0,81.0,78.0 +6.0,6,4,12.0,71,5274817.0,66.0,2.0,68491.0,227.381,rosberg,6.0,German,mercedes,German,2016,9,Austrian Grand Prix,43200000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,5.0,295.0,1.0,8.0,66516.0,66403.0,68465.0,39,31,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,66403.0,68465.0,67128.0,21,10,194,5,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,197.0,86.0,85.0,88.0,86.0 +55.0,15,8,4.0,71,5305507.0,68.0,11.0,70138.0,222.042,sainz,55.0,Spanish,toro_rosso,Italian,2016,9,Austrian Grand Prix,43200000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,0.0,36.0,6.0,0.0,67618.0,67618.0,67618.0,30,22,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,67618.0,67618.0,67618.0,21,1,28,0,0,0,0,0,1,0,1,3,0,0,1,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +94.0,12,10,1.0,70,,67.0,19.0,70859.0,219.782,wehrlein,94.0,German,manor,British,2016,9,Austrian Grand Prix,43200000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,1.0,10.0,0.0,67565.0,67700.0,67700.0,30,22,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,67565.0,67700.0,67655.0,22,0,9,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,2,1,2,58.0,72.0,78.0,73.0,72.0 +14.0,9,13,0.0,51,,43.0,2.0,95669.0,221.676,alonso,14.0,Spanish,mclaren,British,2016,10,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,32.0,7.0,0.0,92281.0,91740.0,92343.0,43,35,"Wet at start, dry later",0,0,1,1,0,Race circuit,Clockwise,5.891,52.0,306.198,91740.0,92343.0,92121.33333333331,25,10,193,0,0,0,0,1,1,0,0,0,0,1,1,0,0,0,0,0,1,197.0,86.0,85.0,88.0,86.0 +77.0,6,14,0.0,51,,45.0,9.0,97383.0,217.775,bottas,77.0,Finnish,williams,British,2016,10,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,92.0,4.0,0.0,91913.0,91478.0,91557.0,35,27,"Wet at start, dry later",0,0,1,1,0,Race circuit,Clockwise,5.891,52.0,306.198,91478.0,91913.0,91649.33333333331,24,3,67,1,0,1,1,1,1,0,1,2,1,0,1,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +22.0,17,12,0.0,51,,36.0,16.0,97907.0,216.609,button,22.0,British,mclaren,British,2016,10,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,32.0,7.0,0.0,92788.0,92788.0,92788.0,44,36,"Wet at start, dry later",0,0,1,1,0,Race circuit,Clockwise,5.891,52.0,306.198,92788.0,92788.0,92788.0,26,10,195,0,0,0,0,0,1,0,0,2,1,1,0,1,1,0,0,0,0,197.0,86.0,85.0,88.0,86.0 +21.0,14,16,0.0,51,,44.0,14.0,97713.0,217.039,gutierrez,21.0,Mexican,haas,American,2016,10,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,28.0,8.0,0.0,92237.0,92241.0,92241.0,33,25,"Wet at start, dry later",0,0,1,1,0,Race circuit,Clockwise,5.891,52.0,306.198,92237.0,92241.0,92239.66666666669,22,3,48,0,0,0,0,0,0,0,0,0,0,3,0,1,1,0,1,1,0,72.0,76.0,76.0,76.0,74.0 +44.0,1,1,25.0,52,5695831.0,45.0,3.0,95771.0,221.44,hamilton,44.0,British,mercedes,German,2016,10,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,3.0,335.0,1.0,9.0,90739.0,89243.0,89287.0,39,31,"Wet at start, dry later",0,0,1,1,0,Race circuit,Clockwise,5.891,52.0,306.198,89243.0,90739.0,89756.33333333333,22,9,177,6,2,1,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,176.0,88.0,87.0,89.0,87.0 +27.0,8,7,6.0,52,5773543.0,51.0,11.0,97618.0,217.25,hulkenberg,27.0,German,force_india,Indian,2016,10,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,73.0,5.0,0.0,92349.0,91770.0,92172.0,37,29,"Wet at start, dry later",0,0,1,1,0,Race circuit,Clockwise,5.891,52.0,306.198,91770.0,92349.0,92097.0,23,6,106,0,0,0,0,0,1,1,1,1,0,0,0,0,0,2,0,0,0,107.0,80.0,80.0,79.0,78.0 +26.0,15,10,1.0,52,5788431.0,35.0,13.0,97667.0,217.141,kvyat,26.0,Russian,toro_rosso,Italian,2016,10,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,41.0,6.0,0.0,92553.0,92306.0,92306.0,30,22,"Wet at start, dry later",0,0,1,1,0,Race circuit,Clockwise,5.891,52.0,306.198,92306.0,92553.0,92388.33333333331,20,2,48,1,0,1,0,0,0,1,0,0,1,0,1,0,0,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +19.0,12,11,0.0,51,,40.0,5.0,96141.0,220.588,massa,19.0,Brazilian,williams,British,2016,10,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,92.0,4.0,0.0,92146.0,92002.0,92002.0,43,35,"Wet at start, dry later",0,0,1,1,0,Race circuit,Clockwise,5.891,52.0,306.198,92002.0,92146.0,92050.0,25,10,188,0,0,0,0,2,1,0,2,0,2,0,0,0,0,0,0,0,0,186.0,90.0,88.0,92.0,90.0 +33.0,3,2,18.0,52,5704081.0,41.0,6.0,96407.0,219.979,max_verstappen,33.0,Dutch,red_bull,Austrian,2016,10,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,1.0,198.0,3.0,1.0,91305.0,90697.0,90313.0,27,19,"Wet at start, dry later",0,0,1,1,0,Race circuit,Clockwise,5.891,52.0,306.198,90313.0,91305.0,90771.66666666669,18,1,29,2,1,0,1,0,1,0,2,0,1,0,0,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +12.0,21,15,0.0,51,,43.0,17.0,98710.0,214.847,nasr,12.0,Brazilian,sauber,Swiss,2016,10,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,0.0,11.0,0.0,93544.0,93544.0,93544.0,32,24,"Wet at start, dry later",0,0,1,1,0,Race circuit,Clockwise,5.891,52.0,306.198,93544.0,93544.0,93544.0,23,1,29,0,0,0,0,0,0,0,0,0,0,0,1,1,1,2,1,1,1,58.0,72.0,78.0,73.0,72.0 +11.0,10,6,8.0,52,5772772.0,35.0,15.0,97900.0,216.625,perez,11.0,Mexican,force_india,Indian,2016,10,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,73.0,5.0,0.0,92336.0,91875.0,91875.0,34,26,"Wet at start, dry later",0,0,1,1,0,Race circuit,Clockwise,5.891,52.0,306.198,91875.0,92336.0,92028.66666666669,21,5,105,2,0,2,0,0,0,1,0,1,1,1,0,1,0,0,1,1,0,107.0,80.0,80.0,79.0,78.0 +7.0,5,5,10.0,52,5765574.0,39.0,8.0,96994.0,218.648,raikkonen,7.0,Finnish,ferrari,Italian,2016,10,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,204.0,2.0,0.0,91326.0,91385.0,90881.0,45,37,"Wet at start, dry later",0,0,1,1,0,Race circuit,Clockwise,5.891,52.0,306.198,90881.0,91385.0,91197.33333333331,27,10,155,4,2,2,1,1,1,0,0,0,0,0,0,0,0,0,0,0,1,157.0,91.0,83.0,88.0,87.0 +3.0,4,4,12.0,52,5722042.0,52.0,4.0,96013.0,220.882,ricciardo,3.0,Australian,red_bull,Austrian,2016,10,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,198.0,3.0,1.0,91684.0,91319.0,90618.0,35,27,"Wet at start, dry later",0,0,1,1,0,Race circuit,Clockwise,5.891,52.0,306.198,90618.0,91684.0,91207.0,22,5,98,1,1,0,4,1,0,2,0,0,0,1,0,0,0,0,0,0,0,100.0,83.0,81.0,81.0,78.0 +6.0,2,3,15.0,52,5712742.0,44.0,1.0,95548.0,221.957,rosberg,6.0,German,mercedes,German,2016,10,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,5.0,335.0,1.0,9.0,90724.0,89970.0,89606.0,39,31,"Wet at start, dry later",0,0,1,1,0,Race circuit,Clockwise,5.891,52.0,306.198,89606.0,90724.0,90100.0,21,10,195,5,0,0,1,1,0,1,0,0,0,0,0,0,0,0,0,0,0,197.0,86.0,85.0,88.0,86.0 +55.0,7,8,4.0,52,5781689.0,43.0,10.0,97401.0,217.734,sainz,55.0,Spanish,toro_rosso,Italian,2016,10,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,41.0,6.0,0.0,92115.0,91708.0,91989.0,30,22,"Wet at start, dry later",0,0,1,1,0,Race circuit,Clockwise,5.891,52.0,306.198,91708.0,92115.0,91937.33333333331,21,1,29,0,0,0,0,0,1,0,2,3,0,0,1,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +5.0,11,9,2.0,52,5787485.0,44.0,7.0,96933.0,218.786,vettel,5.0,German,ferrari,Italian,2016,10,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,204.0,2.0,0.0,91606.0,90711.0,91490.0,37,29,"Wet at start, dry later",0,0,1,1,0,Race circuit,Clockwise,5.891,52.0,306.198,90711.0,91606.0,91269.0,20,9,168,5,3,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,165.0,89.0,83.0,87.0,85.0 +14.0,7,7,6.0,69,,62.0,8.0,84958.0,185.639,alonso,14.0,Spanish,mclaren,British,2016,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,38.0,7.0,0.0,95165.0,83816.0,81211.0,43,35,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,81211.0,95165.0,86730.66666666667,25,10,194,0,0,0,0,1,1,0,0,0,0,1,1,1,0,0,0,0,1,197.0,86.0,85.0,88.0,86.0 +77.0,10,9,2.0,69,,59.0,11.0,85273.0,184.954,bottas,77.0,Finnish,williams,British,2016,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,94.0,4.0,0.0,102758.0,84506.0,82182.0,35,27,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,82182.0,102758.0,89815.33333333333,24,3,68,1,0,1,1,1,1,0,1,2,1,0,1,0,1,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +9.0,22,20,0.0,68,,47.0,14.0,85475.0,184.517,ericsson,9.0,Swedish,sauber,Swiss,2016,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+2 Laps,0.0,0.0,11.0,0.0,106984.0,106984.0,106984.0,34,26,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,106984.0,106984.0,106984.0,24,2,46,0,0,0,0,0,0,0,0,0,0,0,2,0,1,2,2,2,0,72.0,76.0,76.0,76.0,74.0 +8.0,11,14,0.0,69,,56.0,18.0,85958.0,183.48,grosjean,8.0,French,haas,American,2016,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,28.0,8.0,0.0,95906.0,84941.0,84941.0,38,30,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,84941.0,95906.0,88596.0,23,7,94,0,0,0,0,1,1,1,1,0,0,0,0,2,1,0,0,0,1,96.0,84.0,79.0,78.0,77.0 +21.0,15,13,0.0,69,,39.0,17.0,85955.0,183.486,gutierrez,21.0,Mexican,haas,American,2016,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,28.0,8.0,0.0,98959.0,86189.0,86189.0,33,25,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,86189.0,98959.0,90445.66666666669,22,3,49,0,0,0,0,0,0,0,0,0,0,3,0,1,1,0,2,1,0,72.0,76.0,76.0,76.0,74.0 +44.0,2,1,25.0,70,6030115.0,69.0,3.0,83849.0,188.095,hamilton,44.0,British,mercedes,German,2016,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,4.0,378.0,1.0,10.0,94210.0,84836.0,80108.0,39,31,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,80108.0,94210.0,86384.66666666667,22,9,178,7,2,1,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,176.0,88.0,87.0,89.0,87.0 +27.0,9,10,1.0,69,,69.0,13.0,85392.0,184.696,hulkenberg,27.0,German,force_india,Indian,2016,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,74.0,5.0,0.0,101471.0,83901.0,81823.0,37,29,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,81823.0,101471.0,89065.0,23,6,107,0,0,0,0,0,1,2,1,1,0,0,0,0,0,2,0,0,0,107.0,80.0,80.0,79.0,78.0 +30.0,17,12,0.0,69,,41.0,16.0,85743.0,183.94,jolyon_palmer,30.0,British,renault,French,2016,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,6.0,9.0,0.0,103965.0,103965.0,103965.0,33,25,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,103965.0,103965.0,103965.0,25,0,11,0,0,0,0,0,0,0,0,0,0,1,1,2,0,1,0,0,1,58.0,72.0,78.0,73.0,72.0 +20.0,19,15,0.0,69,,39.0,19.0,86230.0,182.901,kevin_magnussen,20.0,Danish,renault,French,2016,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,6.0,9.0,0.0,104543.0,104543.0,104543.0,32,24,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,104543.0,104543.0,104543.0,22,2,31,0,0,0,0,0,0,1,0,0,0,1,1,0,3,0,1,2,0,58.0,72.0,78.0,73.0,72.0 +26.0,12,16,0.0,69,,48.0,6.0,84669.0,186.273,kvyat,26.0,Russian,toro_rosso,Italian,2016,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,45.0,6.0,0.0,96714.0,85301.0,85301.0,30,22,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,85301.0,96714.0,89105.33333333333,20,2,49,1,0,1,0,0,0,1,0,0,2,0,1,0,0,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +19.0,18,18,0.0,68,,68.0,12.0,85296.0,184.904,massa,19.0,Brazilian,williams,British,2016,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+2 Laps,0.0,94.0,4.0,0.0,103999.0,103999.0,103999.0,43,35,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,103999.0,103999.0,103999.0,25,10,189,0,0,0,0,2,1,0,2,0,2,1,0,0,0,0,0,0,0,186.0,90.0,88.0,92.0,90.0 +33.0,4,5,10.0,70,6078774.0,40.0,7.0,84687.0,186.234,max_verstappen,33.0,Dutch,red_bull,Austrian,2016,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,1.0,223.0,3.0,1.0,100424.0,82660.0,80557.0,27,19,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,80557.0,100424.0,87880.33333333333,18,1,30,3,2,0,1,0,1,0,2,0,1,0,0,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +12.0,16,17,0.0,69,,66.0,15.0,85676.0,184.084,nasr,12.0,Brazilian,sauber,Swiss,2016,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,0.0,11.0,0.0,97772.0,87063.0,87063.0,32,24,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,87063.0,97772.0,90632.66666666669,23,1,30,0,0,0,0,0,0,0,0,0,0,0,1,1,1,3,1,1,1,58.0,72.0,78.0,73.0,72.0 +11.0,13,11,0.0,69,,65.0,9.0,85021.0,185.502,perez,11.0,Mexican,force_india,Indian,2016,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,74.0,5.0,0.0,101411.0,85416.0,85416.0,34,26,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,85416.0,101411.0,90747.66666666669,21,5,106,2,0,2,0,0,1,1,0,1,1,1,0,1,0,0,1,1,0,107.0,80.0,80.0,79.0,78.0 +7.0,14,6,8.0,70,6079159.0,52.0,1.0,83086.0,189.822,raikkonen,7.0,Finnish,ferrari,Italian,2016,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,224.0,2.0,0.0,96853.0,85435.0,85435.0,45,37,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,85435.0,96853.0,89241.0,27,10,156,4,2,2,1,2,1,0,0,0,0,0,0,0,0,0,0,0,1,157.0,91.0,83.0,88.0,87.0 +3.0,3,3,15.0,70,6057654.0,60.0,5.0,84608.0,186.407,ricciardo,3.0,Australian,red_bull,Austrian,2016,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,223.0,3.0,1.0,99968.0,83234.0,80280.0,35,27,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,80280.0,99968.0,87827.33333333333,22,5,99,1,1,0,5,1,0,2,0,0,0,1,0,0,0,0,0,0,0,100.0,83.0,81.0,81.0,78.0 +6.0,1,2,18.0,70,6032092.0,60.0,2.0,83670.0,188.497,rosberg,6.0,German,mercedes,German,2016,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,5.0,378.0,1.0,10.0,93302.0,82806.0,79965.0,39,31,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,79965.0,93302.0,85357.66666666667,21,10,196,6,0,1,1,1,0,1,0,0,0,0,0,0,0,0,0,0,0,197.0,86.0,85.0,88.0,86.0 +55.0,6,8,4.0,69,,67.0,10.0,85103.0,185.323,sainz,55.0,Spanish,toro_rosso,Italian,2016,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,45.0,6.0,0.0,96115.0,84734.0,81131.0,30,22,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,81131.0,96115.0,87326.66666666667,21,1,30,0,0,0,0,0,1,0,3,3,0,0,1,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +5.0,5,4,12.0,70,6058328.0,59.0,4.0,84383.0,186.904,vettel,5.0,German,ferrari,Italian,2016,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,224.0,2.0,0.0,95718.0,84082.0,80874.0,37,29,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,80874.0,95718.0,86891.33333333333,20,9,169,5,3,2,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,176.0,88.0,87.0,89.0,87.0 +94.0,20,19,0.0,68,,47.0,20.0,86524.0,182.28,wehrlein,94.0,German,manor,British,2016,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+2 Laps,0.0,1.0,10.0,0.0,107343.0,107343.0,107343.0,30,22,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,107343.0,107343.0,107343.0,22,0,11,0,0,0,0,0,0,0,0,0,1,0,0,1,1,0,2,1,2,58.0,72.0,78.0,73.0,72.0 +14.0,13,12,0.0,66,,50.0,13.0,80132.0,205.49,alonso,14.0,Spanish,mclaren,British,2016,12,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,+1 Lap,0.0,42.0,7.0,0.0,76338.0,76041.0,76041.0,43,35,Partially cloudy and dry,0,0,1,0,1,Race circuit,Clockwise,4.574,64.0,292.736,76041.0,76338.0,76140.0,25,10,195,0,0,0,0,1,1,1,0,0,0,1,1,1,0,0,0,0,1,197.0,86.0,85.0,88.0,86.0 +77.0,7,9,2.0,66,,36.0,15.0,80442.0,204.699,bottas,77.0,Finnish,williams,British,2016,12,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,+1 Lap,0.0,96.0,4.0,0.0,75952.0,75490.0,75530.0,35,27,Partially cloudy and dry,0,0,1,0,1,Race circuit,Clockwise,4.574,64.0,292.736,75490.0,75952.0,75657.33333333333,24,3,69,1,0,1,1,1,1,0,1,3,1,0,1,0,1,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +22.0,12,8,4.0,66,,48.0,9.0,79781.0,206.395,button,22.0,British,mclaren,British,2016,12,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,+1 Lap,0.0,42.0,7.0,0.0,76172.0,75909.0,75909.0,44,36,Partially cloudy and dry,0,0,1,0,1,Race circuit,Clockwise,4.574,64.0,292.736,75909.0,76172.0,75996.66666666667,26,10,197,0,0,0,0,0,1,0,0,2,1,1,1,1,1,0,0,0,0,197.0,86.0,85.0,88.0,86.0 +9.0,22,18,0.0,65,,35.0,18.0,81212.0,202.758,ericsson,9.0,Swedish,sauber,Swiss,2016,12,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,+2 Laps,0.0,0.0,11.0,0.0,77238.0,77238.0,77238.0,34,26,Partially cloudy and dry,0,0,1,0,1,Race circuit,Clockwise,4.574,64.0,292.736,77238.0,77238.0,77238.0,24,2,47,0,0,0,0,0,0,0,0,0,0,0,2,0,1,2,2,2,0,72.0,76.0,76.0,76.0,74.0 +8.0,20,13,0.0,66,,58.0,14.0,80250.0,205.188,grosjean,8.0,French,haas,American,2016,12,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,+1 Lap,0.0,28.0,8.0,0.0,76328.0,76086.0,76086.0,38,30,Partially cloudy and dry,0,0,1,0,1,Race circuit,Clockwise,4.574,64.0,292.736,76086.0,76328.0,76166.66666666667,23,7,95,0,0,0,0,1,1,1,1,0,0,0,0,2,2,0,0,0,1,96.0,84.0,79.0,78.0,77.0 +21.0,11,11,0.0,66,,56.0,10.0,79883.0,206.131,gutierrez,21.0,Mexican,haas,American,2016,12,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,+1 Lap,0.0,28.0,8.0,0.0,75987.0,75883.0,75883.0,33,25,Partially cloudy and dry,0,0,1,0,1,Race circuit,Clockwise,4.574,64.0,292.736,75883.0,75987.0,75917.66666666667,22,3,50,0,0,0,0,0,0,0,0,0,0,3,0,2,1,0,2,1,0,72.0,76.0,76.0,76.0,74.0 +44.0,2,1,25.0,67,5444200.0,52.0,3.0,78746.0,209.107,hamilton,44.0,British,mercedes,German,2016,12,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,5.0,415.0,1.0,11.0,75243.0,74748.0,74470.0,39,31,Partially cloudy and dry,0,0,1,0,1,Race circuit,Clockwise,4.574,64.0,292.736,74470.0,75243.0,74820.33333333333,22,9,179,8,2,1,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,176.0,88.0,87.0,89.0,87.0 +88.0,19,20,0.0,65,,56.0,22.0,81845.0,201.19,haryanto,88.0,Indonesian,manor,British,2016,12,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,+2 Laps,0.0,1.0,10.0,0.0,76977.0,76977.0,76977.0,31,23,Partially cloudy and dry,0,0,1,0,1,Race circuit,Clockwise,4.574,64.0,292.736,76977.0,76977.0,76977.0,23,0,12,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,2,1,58.0,72.0,78.0,73.0,72.0 +27.0,8,7,6.0,67,5514249.0,46.0,12.0,80056.0,205.686,hulkenberg,27.0,German,force_india,Indian,2016,12,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,0.0,81.0,5.0,0.0,76301.0,75623.0,75510.0,37,29,Partially cloudy and dry,0,0,1,0,1,Race circuit,Clockwise,4.574,64.0,292.736,75510.0,76301.0,75811.33333333333,23,6,108,0,0,0,0,0,1,2,1,1,1,0,0,0,0,2,0,0,0,107.0,80.0,80.0,79.0,78.0 +30.0,14,19,0.0,65,,55.0,17.0,81127.0,202.97,jolyon_palmer,30.0,British,renault,French,2016,12,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,+2 Laps,0.0,6.0,9.0,0.0,76636.0,76665.0,76665.0,33,25,Partially cloudy and dry,0,0,1,0,1,Race circuit,Clockwise,4.574,64.0,292.736,76636.0,76665.0,76655.33333333333,25,0,12,0,0,0,0,0,0,0,0,0,0,1,2,2,0,1,0,0,1,58.0,72.0,78.0,73.0,72.0 +20.0,16,16,0.0,66,,42.0,21.0,81649.0,201.673,kevin_magnussen,20.0,Danish,renault,French,2016,12,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,+1 Lap,0.0,6.0,9.0,0.0,76716.0,76716.0,76716.0,32,24,Partially cloudy and dry,0,0,1,0,1,Race circuit,Clockwise,4.574,64.0,292.736,76716.0,76716.0,76716.0,22,2,32,0,0,0,0,0,0,1,0,0,0,1,1,0,3,1,1,2,0,58.0,72.0,78.0,73.0,72.0 +26.0,18,15,0.0,66,,51.0,7.0,79585.0,206.903,kvyat,26.0,Russian,toro_rosso,Italian,2016,12,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,+1 Lap,0.0,45.0,6.0,0.0,76876.0,76876.0,76876.0,30,22,Partially cloudy and dry,0,0,1,0,1,Race circuit,Clockwise,4.574,64.0,292.736,76876.0,76876.0,76876.0,20,2,50,1,0,1,0,0,0,1,0,0,2,0,1,0,0,1,1,0,0,72.0,76.0,76.0,76.0,74.0 +33.0,4,3,15.0,67,5457613.0,47.0,4.0,78910.0,208.673,max_verstappen,33.0,Dutch,red_bull,Austrian,2016,12,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,1.0,256.0,2.0,1.0,75875.0,75124.0,74834.0,27,19,Partially cloudy and dry,0,0,1,0,1,Race circuit,Clockwise,4.574,64.0,292.736,74834.0,75875.0,75277.66666666667,18,1,31,3,2,0,1,1,1,0,2,0,1,0,0,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +11.0,9,10,1.0,66,,46.0,8.0,79606.0,206.848,perez,11.0,Mexican,force_india,Indian,2016,12,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,+1 Lap,0.0,81.0,5.0,0.0,76169.0,75500.0,75537.0,34,26,Partially cloudy and dry,0,0,1,0,1,Race circuit,Clockwise,4.574,64.0,292.736,75500.0,76169.0,75735.33333333333,21,5,107,2,0,2,0,0,1,1,0,1,1,2,0,1,0,0,1,1,0,107.0,80.0,80.0,79.0,78.0 +7.0,5,6,8.0,67,5481223.0,36.0,6.0,79572.0,206.937,raikkonen,7.0,Finnish,ferrari,Italian,2016,12,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,0.0,242.0,3.0,0.0,75752.0,75242.0,75142.0,45,37,Partially cloudy and dry,0,0,1,0,1,Race circuit,Clockwise,4.574,64.0,292.736,75142.0,75752.0,75378.66666666667,27,10,157,4,2,2,1,2,2,0,0,0,0,0,0,0,0,0,0,0,1,158.0,89.0,81.0,86.0,84.0 +3.0,3,2,18.0,67,5451196.0,48.0,1.0,78442.0,209.918,ricciardo,3.0,Australian,red_bull,Austrian,2016,12,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,0.0,256.0,2.0,1.0,75591.0,75545.0,74726.0,35,27,Partially cloudy and dry,0,0,1,0,1,Race circuit,Clockwise,4.574,64.0,292.736,74726.0,75591.0,75287.33333333333,22,5,100,2,1,1,5,1,0,2,0,0,0,1,0,0,0,0,0,0,0,100.0,83.0,81.0,81.0,78.0 +6.0,1,4,12.0,67,5460045.0,51.0,5.0,79122.0,208.114,rosberg,6.0,German,mercedes,German,2016,12,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,5.0,415.0,1.0,11.0,75485.0,74839.0,74363.0,39,31,Partially cloudy and dry,0,0,1,0,1,Race circuit,Clockwise,4.574,64.0,292.736,74363.0,75485.0,74895.66666666667,21,10,197,7,1,1,1,1,0,1,0,0,0,0,0,0,0,0,0,0,0,197.0,86.0,85.0,88.0,86.0 +55.0,15,14,0.0,66,,54.0,11.0,79957.0,205.94,sainz,55.0,Spanish,toro_rosso,Italian,2016,12,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,+1 Lap,0.0,45.0,6.0,0.0,76317.0,75989.0,75989.0,30,22,Partially cloudy and dry,0,0,1,0,1,Race circuit,Clockwise,4.574,64.0,292.736,75989.0,76317.0,76098.33333333333,21,1,31,0,0,0,0,0,1,0,4,3,0,0,1,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +5.0,6,5,10.0,67,5476770.0,48.0,2.0,78710.0,209.203,vettel,5.0,German,ferrari,Italian,2016,12,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,0.0,242.0,3.0,0.0,75927.0,75630.0,75315.0,37,29,Partially cloudy and dry,0,0,1,0,1,Race circuit,Clockwise,4.574,64.0,292.736,75315.0,75927.0,75624.0,20,9,170,5,3,2,2,0,0,0,0,1,0,0,0,0,0,0,0,0,0,176.0,88.0,87.0,89.0,87.0 +94.0,17,17,0.0,65,,49.0,16.0,80710.0,204.019,wehrlein,94.0,German,manor,British,2016,12,German Grand Prix,43200000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,+2 Laps,0.0,1.0,10.0,0.0,76717.0,76717.0,76717.0,30,22,Partially cloudy and dry,0,0,1,0,1,Race circuit,Clockwise,4.574,64.0,292.736,76717.0,76717.0,76717.0,22,0,12,0,0,0,0,0,0,0,0,0,1,0,0,1,1,0,2,1,2,58.0,72.0,78.0,73.0,72.0 +14.0,22,7,6.0,44,6350503.0,43.0,15.0,114484.0,220.243,alonso,14.0,Spanish,mclaren,British,2016,13,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,48.0,6.0,0.0,110033.0,110033.0,110033.0,43,35,Partially cloudy and dry,0,0,1,0,1,Race circuit,Clockwise,7.004,44.0,308.052,110033.0,110033.0,110033.0,25,10,196,0,0,0,0,1,1,1,0,0,0,1,2,1,0,0,0,0,1,197.0,86.0,85.0,88.0,86.0 +77.0,8,8,4.0,44,6351209.0,31.0,12.0,114120.0,220.946,bottas,77.0,Finnish,williams,British,2016,13,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,101.0,5.0,0.0,108655.0,107918.0,107612.0,35,27,Partially cloudy and dry,0,0,1,0,1,Race circuit,Clockwise,7.004,44.0,308.052,107612.0,108655.0,108061.66666666669,24,3,70,1,0,1,1,1,1,0,1,4,1,0,1,0,1,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +8.0,11,13,0.0,44,6367532.0,25.0,11.0,113803.0,221.561,grosjean,8.0,French,haas,American,2016,13,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,28.0,8.0,0.0,108751.0,108316.0,108316.0,38,30,Partially cloudy and dry,0,0,1,0,1,Race circuit,Clockwise,7.004,44.0,308.052,108316.0,108751.0,108461.0,23,7,96,0,0,0,0,1,1,1,1,0,0,0,0,3,2,0,0,0,1,96.0,84.0,79.0,78.0,77.0 +21.0,18,12,0.0,44,6364935.0,26.0,13.0,114335.0,220.53,gutierrez,21.0,Mexican,haas,American,2016,13,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,28.0,8.0,0.0,108748.0,108598.0,108598.0,33,25,Partially cloudy and dry,0,0,1,0,1,Race circuit,Clockwise,7.004,44.0,308.052,108598.0,108748.0,108648.0,22,3,51,0,0,0,0,0,0,0,0,0,0,4,0,2,1,0,2,1,0,72.0,76.0,76.0,76.0,74.0 +44.0,21,3,15.0,44,6318692.0,40.0,1.0,111583.0,225.969,hamilton,44.0,British,mercedes,German,2016,13,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,6.0,455.0,1.0,12.0,110033.0,110033.0,110033.0,39,31,Partially cloudy and dry,0,0,1,0,1,Race circuit,Clockwise,7.004,44.0,308.052,110033.0,110033.0,110033.0,22,9,180,9,2,1,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,176.0,88.0,87.0,89.0,87.0 +27.0,7,4,12.0,44,6326965.0,41.0,10.0,113530.0,222.094,hulkenberg,27.0,German,force_india,Indian,2016,13,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,103.0,4.0,0.0,108080.0,107317.0,107543.0,37,29,Partially cloudy and dry,0,0,1,0,1,Race circuit,Clockwise,7.004,44.0,308.052,107317.0,108080.0,107646.66666666669,23,6,109,0,0,0,0,0,1,3,1,1,1,0,0,0,0,2,0,0,0,110.0,79.0,79.0,79.0,77.0 +30.0,13,15,0.0,44,6384223.0,41.0,6.0,113251.0,222.641,jolyon_palmer,30.0,British,renault,French,2016,13,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,6.0,9.0,0.0,108901.0,108888.0,108888.0,33,25,Partially cloudy and dry,0,0,1,0,1,Race circuit,Clockwise,7.004,44.0,308.052,108888.0,108901.0,108892.33333333331,25,0,13,0,0,0,0,0,0,0,0,0,0,1,2,2,0,1,0,0,1,58.0,72.0,78.0,73.0,72.0 +26.0,19,14,0.0,44,6378155.0,37.0,3.0,112081.0,224.965,kvyat,26.0,Russian,toro_rosso,Italian,2016,13,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,45.0,7.0,0.0,109058.0,109058.0,109058.0,30,22,Partially cloudy and dry,0,0,1,0,1,Race circuit,Clockwise,7.004,44.0,308.052,109058.0,109058.0,109058.0,20,2,51,1,0,1,0,0,0,1,0,0,2,0,1,0,0,2,1,0,0,72.0,76.0,76.0,76.0,74.0 +19.0,10,10,1.0,44,6356931.0,25.0,14.0,114342.0,220.517,massa,19.0,Brazilian,williams,British,2016,13,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,101.0,5.0,0.0,107738.0,107667.0,108263.0,43,35,Partially cloudy and dry,0,0,1,0,1,Race circuit,Clockwise,7.004,44.0,308.052,107667.0,108263.0,107889.33333333331,25,10,191,0,0,0,0,2,1,0,2,0,2,1,0,0,0,0,0,0,1,191.0,86.0,84.0,88.0,86.0 +33.0,2,11,0.0,44,6362196.0,32.0,7.0,113281.0,222.582,max_verstappen,33.0,Dutch,red_bull,Austrian,2016,13,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,1.0,274.0,2.0,1.0,108407.0,107163.0,106893.0,27,19,Partially cloudy and dry,0,0,1,0,1,Race circuit,Clockwise,7.004,44.0,308.052,106893.0,108407.0,107487.66666666669,18,1,32,4,2,1,1,1,1,0,2,0,1,0,0,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +12.0,16,17,0.0,43,,31.0,17.0,116152.0,217.081,nasr,12.0,Brazilian,sauber,Swiss,2016,13,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,+1 Lap,0.0,0.0,11.0,0.0,108949.0,108949.0,108949.0,32,24,Partially cloudy and dry,0,0,1,0,1,Race circuit,Clockwise,7.004,44.0,308.052,108949.0,108949.0,108949.0,23,1,32,0,0,0,0,0,0,0,0,0,0,0,1,1,1,3,1,2,1,58.0,72.0,78.0,73.0,72.0 +31.0,17,16,0.0,43,,26.0,16.0,115734.0,217.865,ocon,31.0,French,manor,British,2016,13,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,+1 Lap,0.0,1.0,10.0,0.0,109050.0,109050.0,109050.0,28,20,Partially cloudy and dry,0,0,1,0,1,Race circuit,Clockwise,7.004,44.0,308.052,109050.0,109050.0,109050.0,20,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,6,5,10.0,44,6331718.0,34.0,8.0,113414.0,222.321,perez,11.0,Mexican,force_india,Indian,2016,13,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,103.0,4.0,0.0,108106.0,107485.0,107407.0,34,26,Partially cloudy and dry,0,0,1,0,1,Race circuit,Clockwise,7.004,44.0,308.052,107407.0,108106.0,107666.0,21,5,108,2,0,2,0,0,1,1,0,1,2,2,0,1,0,0,1,1,0,107.0,80.0,80.0,79.0,78.0 +7.0,3,9,2.0,44,6352167.0,27.0,9.0,113498.0,222.157,raikkonen,7.0,Finnish,ferrari,Italian,2016,13,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,252.0,3.0,0.0,107912.0,107664.0,106910.0,45,37,Partially cloudy and dry,0,0,1,0,1,Race circuit,Clockwise,7.004,44.0,308.052,106910.0,107912.0,107495.33333333331,27,10,158,4,2,2,1,2,3,0,0,0,0,0,0,0,0,0,0,0,1,158.0,89.0,81.0,86.0,84.0 +3.0,5,2,18.0,44,6305171.0,11.0,4.0,112461.0,224.205,ricciardo,3.0,Australian,red_bull,Austrian,2016,13,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,274.0,2.0,1.0,108407.0,108027.0,107216.0,35,27,Partially cloudy and dry,0,0,1,0,1,Race circuit,Clockwise,7.004,44.0,308.052,107216.0,108407.0,107883.33333333331,22,5,101,3,2,1,5,1,0,2,0,0,0,1,0,0,0,0,0,0,0,100.0,83.0,81.0,81.0,78.0 +6.0,1,1,25.0,44,6291058.0,11.0,2.0,111746.0,225.64,rosberg,6.0,German,mercedes,German,2016,13,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,5.0,455.0,1.0,12.0,108019.0,106999.0,106744.0,39,31,Partially cloudy and dry,0,0,1,0,1,Race circuit,Clockwise,7.004,44.0,308.052,106744.0,108019.0,107254.0,21,10,198,7,1,1,2,1,0,1,0,0,0,0,0,0,0,0,0,0,0,200.0,86.0,85.0,88.0,86.0 +5.0,4,6,8.0,44,6336452.0,35.0,5.0,112728.0,223.674,vettel,5.0,German,ferrari,Italian,2016,13,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,252.0,3.0,0.0,107802.0,107944.0,107108.0,37,29,Partially cloudy and dry,0,0,1,0,1,Race circuit,Clockwise,7.004,44.0,308.052,107108.0,107944.0,107618.0,20,9,171,5,3,2,2,1,0,0,0,1,0,0,0,0,0,0,0,0,0,176.0,88.0,87.0,89.0,87.0 +14.0,12,14,0.0,52,,51.0,1.0,85340.0,244.373,alonso,14.0,Spanish,mclaren,British,2016,14,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,48.0,6.0,0.0,83783.0,83273.0,83273.0,43,35,"Sunny, warm",1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,83273.0,83783.0,83443.0,25,10,197,0,0,0,0,1,1,2,0,0,0,1,2,1,0,0,0,0,1,197.0,86.0,85.0,88.0,86.0 +77.0,5,6,8.0,53,4699104.0,46.0,10.0,86708.0,240.517,bottas,77.0,Finnish,williams,British,2016,14,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,111.0,4.0,0.0,83264.0,82499.0,82388.0,35,27,"Sunny, warm",1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,82388.0,83264.0,82717.0,24,3,71,1,0,1,1,1,1,0,2,4,1,0,1,0,1,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +22.0,14,12,0.0,52,,40.0,6.0,86354.0,241.503,button,22.0,British,mclaren,British,2016,14,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,48.0,6.0,0.0,83666.0,83399.0,83399.0,44,36,"Sunny, warm",1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,83399.0,83666.0,83488.0,26,10,199,0,0,0,0,0,1,0,1,2,1,1,1,1,1,0,0,0,0,200.0,86.0,85.0,88.0,86.0 +9.0,19,16,0.0,52,,37.0,19.0,88552.0,235.509,ericsson,9.0,Swedish,sauber,Swiss,2016,14,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,0.0,11.0,0.0,84087.0,84087.0,84087.0,34,26,"Sunny, warm",1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,84087.0,84087.0,84087.0,24,2,49,0,0,0,0,0,0,0,0,0,0,0,2,0,1,2,2,2,1,72.0,76.0,76.0,76.0,74.0 +8.0,17,11,0.0,52,,50.0,15.0,87227.0,239.086,grosjean,8.0,French,haas,American,2016,14,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,28.0,8.0,0.0,83421.0,83092.0,83092.0,38,30,"Sunny, warm",1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,83092.0,83421.0,83201.66666666667,23,7,97,0,0,0,0,1,1,1,1,0,0,0,0,4,2,0,0,0,1,100.0,83.0,81.0,81.0,78.0 +21.0,10,13,0.0,52,,42.0,14.0,87106.0,239.418,gutierrez,21.0,Mexican,haas,American,2016,14,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,28.0,8.0,0.0,83386.0,82856.0,83184.0,33,25,"Sunny, warm",1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,82856.0,83386.0,83142.0,22,3,52,0,0,0,0,0,0,0,0,0,0,4,1,2,1,0,2,1,0,72.0,76.0,76.0,76.0,74.0 +44.0,1,2,18.0,53,4663159.0,27.0,4.0,86303.0,241.646,hamilton,44.0,British,mercedes,German,2016,14,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,6.0,498.0,1.0,13.0,81854.0,81498.0,81135.0,39,31,"Sunny, warm",1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,81135.0,81854.0,81495.66666666667,22,9,181,10,2,2,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,179.0,87.0,90.0,88.0,87.0 +27.0,9,10,1.0,53,4726745.0,40.0,13.0,86954.0,239.837,hulkenberg,27.0,German,force_india,Indian,2016,14,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,108.0,5.0,0.0,83259.0,82951.0,82836.0,37,29,"Sunny, warm",1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,82836.0,83259.0,83015.33333333333,23,6,110,0,0,0,1,0,1,3,1,1,1,0,0,0,0,2,0,0,0,110.0,79.0,79.0,79.0,77.0 +20.0,21,17,0.0,52,,52.0,16.0,87618.0,238.019,kevin_magnussen,20.0,Danish,renault,French,2016,14,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,6.0,9.0,0.0,84436.0,84436.0,84436.0,32,24,"Sunny, warm",1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,84436.0,84436.0,84436.0,22,2,34,0,0,0,0,0,0,1,0,0,0,1,1,0,3,1,2,2,1,58.0,72.0,78.0,73.0,72.0 +19.0,11,9,2.0,53,4713706.0,50.0,7.0,86400.0,241.375,massa,19.0,Brazilian,williams,British,2016,14,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,111.0,4.0,0.0,83489.0,82967.0,82967.0,43,35,"Sunny, warm",1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,82967.0,83489.0,83141.0,25,10,192,0,0,0,0,2,1,0,2,0,3,1,0,0,0,0,0,0,1,191.0,86.0,84.0,88.0,86.0 +33.0,7,7,6.0,53,4702325.0,50.0,8.0,86405.0,241.361,max_verstappen,33.0,Dutch,red_bull,Austrian,2016,14,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,1.0,290.0,2.0,1.0,83229.0,82857.0,82411.0,27,19,"Sunny, warm",1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,82411.0,83229.0,82832.33333333333,18,1,33,4,2,1,1,1,1,0,2,0,1,1,0,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +31.0,22,18,0.0,51,,51.0,18.0,88534.0,235.556,ocon,31.0,French,manor,British,2016,14,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+2 Laps,0.0,1.0,10.0,0.0,84436.0,84436.0,84436.0,28,20,"Sunny, warm",1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,84436.0,84436.0,84436.0,20,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,8,8,4.0,53,4713043.0,40.0,12.0,86920.0,239.93,perez,11.0,Mexican,force_india,Indian,2016,14,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,108.0,5.0,0.0,83439.0,82922.0,82814.0,34,26,"Sunny, warm",1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,82814.0,83439.0,83058.33333333333,21,5,109,2,0,2,0,1,1,1,0,1,2,2,0,1,0,0,1,1,0,110.0,79.0,79.0,79.0,77.0 +7.0,4,4,12.0,53,4675650.0,50.0,3.0,86016.0,242.452,raikkonen,7.0,Finnish,ferrari,Italian,2016,14,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,279.0,3.0,0.0,83217.0,82568.0,82065.0,45,37,"Sunny, warm",1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,82065.0,83217.0,82616.66666666667,27,10,159,4,2,2,1,2,3,0,0,1,0,0,0,0,0,0,0,0,1,158.0,89.0,81.0,86.0,84.0 +3.0,6,5,10.0,53,4693384.0,52.0,2.0,85919.0,242.726,ricciardo,3.0,Australian,red_bull,Austrian,2016,14,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,290.0,2.0,1.0,83158.0,82638.0,82389.0,35,27,"Sunny, warm",1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,82389.0,83158.0,82728.33333333333,22,5,102,4,3,1,5,1,0,2,0,0,0,1,0,0,0,0,0,0,0,102.0,87.0,81.0,81.0,79.0 +6.0,2,1,25.0,53,4648089.0,26.0,9.0,86599.0,240.82,rosberg,6.0,German,mercedes,German,2016,14,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,6.0,498.0,1.0,13.0,82497.0,81809.0,81613.0,39,31,"Sunny, warm",1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,81613.0,82497.0,81973.0,21,10,199,8,1,1,2,1,0,1,0,0,0,0,0,0,0,0,0,0,0,200.0,86.0,85.0,88.0,86.0 +55.0,15,15,0.0,52,,41.0,11.0,86751.0,240.398,sainz,55.0,Spanish,toro_rosso,Italian,2016,14,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,45.0,7.0,0.0,83661.0,83496.0,83496.0,30,22,"Sunny, warm",1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,83496.0,83661.0,83551.0,21,1,33,0,0,0,0,0,1,0,4,3,0,0,1,0,1,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +5.0,3,3,15.0,53,4669079.0,48.0,5.0,86310.0,241.626,vettel,5.0,German,ferrari,Italian,2016,14,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,279.0,3.0,0.0,83077.0,82275.0,81972.0,37,29,"Sunny, warm",1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,81972.0,83077.0,82441.33333333333,20,9,172,5,3,2,2,1,1,0,0,1,0,0,0,0,0,0,0,0,0,176.0,88.0,87.0,89.0,87.0 +14.0,9,7,6.0,61,7038148.0,49.0,12.0,111249.0,163.902,alonso,14.0,Spanish,mclaren,British,2016,15,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,54.0,6.0,0.0,105373.0,104653.0,104553.0,43,35,Clear30 °C (86 °F) air temperature34–35 °C (93–95 °F) track temperature1.5 m/s (4.9 ft/s) wind from the east[2],1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,104553.0,105373.0,104859.66666666669,25,10,198,0,0,0,0,1,1,2,0,0,0,1,2,1,1,0,0,0,1,200.0,86.0,85.0,88.0,86.0 +9.0,14,17,0.0,60,,27.0,10.0,110963.0,164.325,ericsson,9.0,Swedish,sauber,Swiss,2016,15,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,+1 Lap,0.0,0.0,11.0,0.0,106427.0,107827.0,107827.0,34,26,Clear30 °C (86 °F) air temperature34–35 °C (93–95 °F) track temperature1.5 m/s (4.9 ft/s) wind from the east[2],1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,106427.0,107827.0,107360.33333333331,24,2,50,0,0,0,0,0,0,0,0,0,0,0,2,0,1,2,3,2,1,72.0,76.0,76.0,76.0,74.0 +21.0,13,11,0.0,60,,39.0,11.0,111075.0,164.159,gutierrez,21.0,Mexican,haas,American,2016,15,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,+1 Lap,0.0,28.0,8.0,0.0,105465.0,105593.0,105593.0,33,25,Clear30 °C (86 °F) air temperature34–35 °C (93–95 °F) track temperature1.5 m/s (4.9 ft/s) wind from the east[2],1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,105465.0,105593.0,105550.33333333331,22,3,53,0,0,0,0,0,0,0,0,0,0,4,1,3,1,0,2,1,0,72.0,76.0,76.0,76.0,74.0 +44.0,3,3,15.0,61,6956988.0,52.0,3.0,107752.0,169.221,hamilton,44.0,British,mercedes,German,2016,15,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,6.0,538.0,1.0,14.0,105167.0,103471.0,103288.0,39,31,Clear30 °C (86 °F) air temperature34–35 °C (93–95 °F) track temperature1.5 m/s (4.9 ft/s) wind from the east[2],1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,103288.0,105167.0,103975.33333333331,22,9,182,11,3,2,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,179.0,87.0,90.0,88.0,87.0 +30.0,18,15,0.0,60,,36.0,19.0,111777.0,163.128,jolyon_palmer,30.0,British,renault,French,2016,15,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,+1 Lap,0.0,7.0,9.0,0.0,106960.0,106960.0,106960.0,33,25,Clear30 °C (86 °F) air temperature34–35 °C (93–95 °F) track temperature1.5 m/s (4.9 ft/s) wind from the east[2],1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,106960.0,106960.0,106960.0,25,0,15,0,0,0,0,0,0,0,0,0,0,1,2,2,0,2,0,0,1,58.0,72.0,78.0,73.0,72.0 +20.0,15,10,1.0,61,7068902.0,44.0,8.0,110858.0,164.48,kevin_magnussen,20.0,Danish,renault,French,2016,15,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,7.0,9.0,0.0,106825.0,106825.0,106825.0,32,24,Clear30 °C (86 °F) air temperature34–35 °C (93–95 °F) track temperature1.5 m/s (4.9 ft/s) wind from the east[2],1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,106825.0,106825.0,106825.0,22,2,35,0,0,0,0,0,0,1,0,0,0,1,1,0,3,1,2,3,1,58.0,72.0,78.0,73.0,72.0 +26.0,7,9,2.0,61,7060507.0,39.0,9.0,110944.0,164.353,kvyat,26.0,Russian,toro_rosso,Italian,2016,15,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,47.0,7.0,0.0,105291.0,104475.0,104469.0,30,22,Clear30 °C (86 °F) air temperature34–35 °C (93–95 °F) track temperature1.5 m/s (4.9 ft/s) wind from the east[2],1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,104469.0,105291.0,104745.0,20,2,53,1,0,1,0,0,0,1,0,0,2,0,1,0,1,2,1,0,0,72.0,76.0,76.0,76.0,74.0 +19.0,11,12,0.0,60,,53.0,14.0,111455.0,163.599,massa,19.0,Brazilian,williams,British,2016,15,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,+1 Lap,0.0,111.0,5.0,0.0,106056.0,104991.0,104991.0,43,35,Clear30 °C (86 °F) air temperature34–35 °C (93–95 °F) track temperature1.5 m/s (4.9 ft/s) wind from the east[2],1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,104991.0,106056.0,105346.0,25,10,193,0,0,0,0,2,1,0,2,1,3,1,0,0,0,0,0,0,1,197.0,86.0,85.0,88.0,86.0 +33.0,4,6,8.0,61,7020147.0,46.0,5.0,109050.0,167.207,max_verstappen,33.0,Dutch,red_bull,Austrian,2016,15,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,1.0,316.0,2.0,1.0,105036.0,104112.0,103328.0,27,19,Clear30 °C (86 °F) air temperature34–35 °C (93–95 °F) track temperature1.5 m/s (4.9 ft/s) wind from the east[2],1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,103328.0,105036.0,104158.66666666669,18,1,34,4,2,1,1,1,1,1,2,0,1,1,0,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +12.0,16,13,0.0,60,,41.0,17.0,111683.0,163.265,nasr,12.0,Brazilian,sauber,Swiss,2016,15,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,+1 Lap,0.0,0.0,11.0,0.0,106860.0,106860.0,106860.0,32,24,Clear30 °C (86 °F) air temperature34–35 °C (93–95 °F) track temperature1.5 m/s (4.9 ft/s) wind from the east[2],1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,106860.0,106860.0,106860.0,23,1,34,0,0,0,0,0,0,0,0,0,0,0,1,1,1,3,1,3,1,58.0,72.0,78.0,73.0,72.0 +31.0,21,18,0.0,59,,47.0,18.0,111748.0,163.17,ocon,31.0,French,manor,British,2016,15,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,+2 Laps,0.0,1.0,10.0,0.0,108296.0,108296.0,108296.0,28,20,Clear30 °C (86 °F) air temperature34–35 °C (93–95 °F) track temperature1.5 m/s (4.9 ft/s) wind from the east[2],1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,108296.0,108296.0,108296.0,20,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,58.0,72.0,78.0,73.0,72.0 +11.0,17,8,4.0,61,7060012.0,34.0,15.0,111517.0,163.508,perez,11.0,Mexican,force_india,Indian,2016,15,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,112.0,4.0,0.0,105204.0,104703.0,104582.0,34,26,Clear30 °C (86 °F) air temperature34–35 °C (93–95 °F) track temperature1.5 m/s (4.9 ft/s) wind from the east[2],1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,104582.0,105204.0,104829.66666666669,21,5,110,2,0,2,0,1,1,1,1,1,2,2,0,1,0,0,1,1,0,110.0,79.0,79.0,79.0,77.0 +7.0,5,4,12.0,61,6959169.0,51.0,4.0,108204.0,168.515,raikkonen,7.0,Finnish,ferrari,Italian,2016,15,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,301.0,3.0,0.0,104964.0,104159.0,103540.0,45,37,Clear30 °C (86 °F) air temperature34–35 °C (93–95 °F) track temperature1.5 m/s (4.9 ft/s) wind from the east[2],1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,103540.0,104964.0,104221.0,27,10,160,4,2,2,2,2,3,0,0,1,0,0,0,0,0,0,0,0,1,158.0,89.0,81.0,86.0,84.0 +3.0,2,2,18.0,61,6949438.0,49.0,1.0,107187.0,170.113,ricciardo,3.0,Australian,red_bull,Austrian,2016,15,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,316.0,2.0,1.0,104255.0,103933.0,103115.0,35,27,Clear30 °C (86 °F) air temperature34–35 °C (93–95 °F) track temperature1.5 m/s (4.9 ft/s) wind from the east[2],1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,103115.0,104255.0,103767.66666666669,22,5,103,4,3,1,5,2,0,2,0,0,0,1,0,0,0,0,0,0,0,102.0,87.0,81.0,81.0,79.0 +6.0,1,1,25.0,61,6948950.0,38.0,6.0,110296.0,165.318,rosberg,6.0,German,mercedes,German,2016,15,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,7.0,538.0,1.0,14.0,105316.0,103020.0,102584.0,39,31,Clear30 °C (86 °F) air temperature34–35 °C (93–95 °F) track temperature1.5 m/s (4.9 ft/s) wind from the east[2],1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,102584.0,105316.0,103640.0,21,10,200,9,1,1,2,1,0,1,0,0,0,0,0,0,0,0,0,0,0,200.0,86.0,85.0,88.0,86.0 +55.0,6,14,0.0,60,,56.0,7.0,110532.0,164.965,sainz,55.0,Spanish,toro_rosso,Italian,2016,15,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,+1 Lap,0.0,47.0,7.0,0.0,105499.0,104493.0,104197.0,30,22,Clear30 °C (86 °F) air temperature34–35 °C (93–95 °F) track temperature1.5 m/s (4.9 ft/s) wind from the east[2],1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,104197.0,105499.0,104729.66666666669,21,1,34,0,0,0,0,0,1,0,4,3,0,0,1,0,1,1,0,0,1,58.0,72.0,78.0,73.0,72.0 +5.0,22,5,10.0,61,6976644.0,45.0,2.0,107345.0,169.863,vettel,5.0,German,ferrari,Italian,2016,15,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,301.0,3.0,0.0,109116.0,109116.0,109116.0,37,29,Clear30 °C (86 °F) air temperature34–35 °C (93–95 °F) track temperature1.5 m/s (4.9 ft/s) wind from the east[2],1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,109116.0,109116.0,109116.0,20,9,173,6,3,3,2,1,1,0,0,1,0,0,0,0,0,0,0,0,0,176.0,88.0,87.0,89.0,87.0 +94.0,19,16,0.0,60,,40.0,20.0,112021.0,162.773,wehrlein,94.0,German,manor,British,2016,15,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,+1 Lap,0.0,1.0,10.0,0.0,107667.0,107667.0,107667.0,30,22,Clear30 °C (86 °F) air temperature34–35 °C (93–95 °F) track temperature1.5 m/s (4.9 ft/s) wind from the east[2],1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,107667.0,107667.0,107667.0,22,0,15,0,0,0,0,0,0,0,0,0,1,0,0,1,1,0,2,2,2,58.0,72.0,78.0,73.0,72.0 +14.0,22,7,6.0,56,5897981.0,44.0,6.0,98291.0,203.017,alonso,14.0,Spanish,mclaren,British,2016,16,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,62.0,6.0,0.0,97155.0,97155.0,97155.0,43,35,Sunny33 °C (91 °F) air temperature49 °C (120 °F) track temperature2.8 m/s (9.2 ft/s) wind from the west[2],1,0,0,0,0,Race circuit,Clockwise,5.543,56.0,310.408,97155.0,97155.0,97155.0,25,10,199,0,0,0,0,1,1,3,0,0,0,1,2,1,1,0,0,0,1,200.0,86.0,85.0,88.0,86.0 +77.0,11,5,10.0,56,5894358.0,53.0,9.0,99199.0,201.159,bottas,77.0,Finnish,williams,British,2016,16,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,121.0,5.0,0.0,95166.0,94577.0,94577.0,35,27,Sunny33 °C (91 °F) air temperature49 °C (120 °F) track temperature2.8 m/s (9.2 ft/s) wind from the west[2],1,0,0,0,0,Race circuit,Clockwise,5.543,56.0,310.408,94577.0,95166.0,94773.33333333331,24,3,73,1,0,1,1,1,2,0,2,4,1,0,1,0,1,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +22.0,9,9,2.0,56,5914592.0,51.0,8.0,98740.0,202.094,button,22.0,British,mclaren,British,2016,16,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,62.0,6.0,0.0,95267.0,94431.0,94518.0,44,36,Sunny33 °C (91 °F) air temperature49 °C (120 °F) track temperature2.8 m/s (9.2 ft/s) wind from the west[2],1,0,0,0,0,Race circuit,Clockwise,5.543,56.0,310.408,94431.0,95267.0,94738.66666666669,26,10,201,0,0,0,0,0,1,0,1,2,1,1,2,1,1,0,0,0,0,203.0,84.0,82.0,87.0,85.0 +9.0,17,12,0.0,55,,55.0,14.0,99781.0,199.985,ericsson,9.0,Swedish,sauber,Swiss,2016,16,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+1 Lap,0.0,0.0,11.0,0.0,95816.0,95816.0,95816.0,34,26,Sunny33 °C (91 °F) air temperature49 °C (120 °F) track temperature2.8 m/s (9.2 ft/s) wind from the west[2],1,0,0,0,0,Race circuit,Clockwise,5.543,56.0,310.408,95816.0,95816.0,95816.0,24,2,51,0,0,0,0,0,0,0,0,0,0,0,2,0,1,2,3,3,1,72.0,76.0,76.0,76.0,74.0 +27.0,8,8,4.0,56,5906838.0,43.0,5.0,97793.0,204.051,hulkenberg,27.0,German,force_india,Indian,2016,16,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,124.0,4.0,0.0,94827.0,94441.0,94489.0,37,29,Sunny33 °C (91 °F) air temperature49 °C (120 °F) track temperature2.8 m/s (9.2 ft/s) wind from the west[2],1,0,0,0,0,Race circuit,Clockwise,5.543,56.0,310.408,94441.0,94827.0,94585.66666666669,23,6,112,0,0,0,1,0,1,3,1,1,2,0,0,0,0,2,0,0,0,112.0,80.0,79.0,81.0,78.0 +30.0,19,10,1.0,56,5928242.0,53.0,12.0,99350.0,200.853,jolyon_palmer,30.0,British,renault,French,2016,16,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,8.0,9.0,0.0,95999.0,95999.0,95999.0,33,25,Sunny33 °C (91 °F) air temperature49 °C (120 °F) track temperature2.8 m/s (9.2 ft/s) wind from the west[2],1,0,0,0,0,Race circuit,Clockwise,5.543,56.0,310.408,95999.0,95999.0,95999.0,25,0,16,0,0,0,0,0,0,0,0,0,0,1,2,2,0,3,0,0,1,58.0,72.0,78.0,73.0,72.0 +26.0,15,14,0.0,55,,43.0,15.0,99798.0,199.951,kvyat,26.0,Russian,toro_rosso,Italian,2016,16,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+1 Lap,0.0,47.0,7.0,0.0,95695.0,95369.0,95369.0,30,22,Sunny33 °C (91 °F) air temperature49 °C (120 °F) track temperature2.8 m/s (9.2 ft/s) wind from the west[2],1,0,0,0,0,Race circuit,Clockwise,5.543,56.0,310.408,95369.0,95695.0,95477.66666666669,20,2,54,1,0,1,0,0,0,1,0,1,2,0,1,0,1,2,1,0,0,72.0,76.0,76.0,76.0,74.0 +19.0,10,13,0.0,55,,53.0,16.0,99920.0,199.707,massa,19.0,Brazilian,williams,British,2016,16,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+1 Lap,0.0,121.0,5.0,0.0,95267.0,94422.0,94671.0,43,35,Sunny33 °C (91 °F) air temperature49 °C (120 °F) track temperature2.8 m/s (9.2 ft/s) wind from the west[2],1,0,0,0,0,Race circuit,Clockwise,5.543,56.0,310.408,94422.0,95267.0,94786.66666666669,25,10,194,0,0,0,0,2,1,0,2,1,3,1,1,0,0,0,0,0,1,197.0,86.0,85.0,88.0,86.0 +33.0,3,2,18.0,56,5835219.0,44.0,2.0,97376.0,204.925,max_verstappen,33.0,Dutch,red_bull,Austrian,2016,16,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,1.0,359.0,2.0,2.0,95443.0,93775.0,93420.0,27,19,Sunny33 °C (91 °F) air temperature49 °C (120 °F) track temperature2.8 m/s (9.2 ft/s) wind from the west[2],1,0,0,0,0,Race circuit,Clockwise,5.543,56.0,310.408,93420.0,95443.0,94212.66666666669,18,1,35,4,2,1,1,1,2,1,2,0,1,1,0,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +31.0,20,16,0.0,55,,45.0,18.0,101467.0,196.662,ocon,31.0,French,manor,British,2016,16,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+1 Lap,0.0,1.0,10.0,0.0,96451.0,96451.0,96451.0,28,20,Sunny33 °C (91 °F) air temperature49 °C (120 °F) track temperature2.8 m/s (9.2 ft/s) wind from the west[2],1,0,0,0,0,Race circuit,Clockwise,5.543,56.0,310.408,96451.0,96451.0,96451.0,20,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,2,58.0,72.0,78.0,73.0,72.0 +11.0,7,6,8.0,56,5896570.0,51.0,11.0,99328.0,200.898,perez,11.0,Mexican,force_india,Indian,2016,16,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,124.0,4.0,0.0,95068.0,94538.0,94319.0,34,26,Sunny33 °C (91 °F) air temperature49 °C (120 °F) track temperature2.8 m/s (9.2 ft/s) wind from the west[2],1,0,0,0,0,Race circuit,Clockwise,5.543,56.0,310.408,94319.0,95068.0,94641.66666666669,21,5,111,2,0,2,0,1,1,1,2,1,2,2,0,1,0,0,1,1,0,112.0,80.0,79.0,81.0,78.0 +7.0,6,4,12.0,56,5861561.0,47.0,4.0,97466.0,204.736,raikkonen,7.0,Finnish,ferrari,Italian,2016,16,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,313.0,3.0,0.0,94556.0,93903.0,93632.0,45,37,Sunny33 °C (91 °F) air temperature49 °C (120 °F) track temperature2.8 m/s (9.2 ft/s) wind from the west[2],1,0,0,0,0,Race circuit,Clockwise,5.543,56.0,310.408,93632.0,94556.0,94030.33333333331,27,10,161,4,2,2,3,2,3,0,0,1,0,0,0,0,0,0,0,0,1,158.0,89.0,81.0,86.0,84.0 +3.0,4,1,25.0,56,5832776.0,44.0,3.0,97449.0,204.771,ricciardo,3.0,Australian,red_bull,Austrian,2016,16,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,359.0,2.0,2.0,95079.0,93888.0,93467.0,35,27,Sunny33 °C (91 °F) air temperature49 °C (120 °F) track temperature2.8 m/s (9.2 ft/s) wind from the west[2],1,0,0,0,0,Race circuit,Clockwise,5.543,56.0,310.408,93467.0,95079.0,94144.66666666669,22,5,104,5,4,1,5,2,0,2,0,0,0,1,0,0,0,0,0,0,0,107.0,80.0,80.0,79.0,78.0 +6.0,2,3,15.0,56,5858292.0,44.0,1.0,96424.0,206.948,rosberg,6.0,German,mercedes,German,2016,16,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,8.0,553.0,1.0,14.0,94460.0,93609.0,93264.0,39,31,Sunny33 °C (91 °F) air temperature49 °C (120 °F) track temperature2.8 m/s (9.2 ft/s) wind from the west[2],1,0,0,0,0,Race circuit,Clockwise,5.543,56.0,310.408,93264.0,94460.0,93777.66666666669,21,10,201,10,1,1,2,1,0,1,0,0,0,0,0,0,0,0,0,0,0,203.0,84.0,82.0,87.0,85.0 +55.0,16,11,0.0,56,5931654.0,44.0,10.0,99243.0,201.07,sainz,55.0,Spanish,toro_rosso,Italian,2016,16,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,47.0,7.0,0.0,95605.0,95374.0,95374.0,30,22,Sunny33 °C (91 °F) air temperature49 °C (120 °F) track temperature2.8 m/s (9.2 ft/s) wind from the west[2],1,0,0,0,0,Race circuit,Clockwise,5.543,56.0,310.408,95374.0,95605.0,95451.0,21,1,35,0,0,0,0,0,1,0,4,3,0,0,1,0,2,1,0,0,1,58.0,72.0,78.0,73.0,72.0 +94.0,21,15,0.0,55,,55.0,13.0,99653.0,200.242,wehrlein,94.0,German,manor,British,2016,16,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+1 Lap,0.0,1.0,10.0,0.0,96587.0,96587.0,96587.0,30,22,Sunny33 °C (91 °F) air temperature49 °C (120 °F) track temperature2.8 m/s (9.2 ft/s) wind from the west[2],1,0,0,0,0,Race circuit,Clockwise,5.543,56.0,310.408,96587.0,96587.0,96587.0,22,0,16,0,0,0,0,0,0,0,0,0,1,0,0,1,1,0,3,2,2,58.0,72.0,78.0,73.0,72.0 +14.0,15,16,0.0,52,,29.0,19.0,98208.0,212.866,alonso,14.0,Spanish,mclaren,British,2016,17,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+1 Lap,0.0,62.0,6.0,0.0,92819.0,92689.0,92689.0,43,35,Cloudy,0,0,0,0,1,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,92689.0,92819.0,92732.33333333331,25,10,200,0,0,0,0,1,1,4,0,0,0,1,2,1,1,0,0,0,1,200.0,86.0,85.0,88.0,86.0 +77.0,11,10,1.0,53,5301656.0,33.0,15.0,97844.0,213.658,bottas,77.0,Finnish,williams,British,2016,17,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,124.0,5.0,0.0,92383.0,92315.0,92315.0,35,27,Cloudy,0,0,0,0,1,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,92315.0,92383.0,92337.66666666669,24,3,74,1,0,1,1,2,2,0,2,4,1,0,1,0,1,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +22.0,22,18,0.0,52,,39.0,9.0,97177.0,215.124,button,22.0,British,mclaren,British,2016,17,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+1 Lap,0.0,62.0,6.0,0.0,92851.0,92851.0,92851.0,44,36,Cloudy,0,0,0,0,1,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,92851.0,92851.0,92851.0,26,10,202,0,0,0,0,0,1,0,1,3,1,1,2,1,1,0,0,0,0,203.0,84.0,82.0,87.0,85.0 +9.0,18,15,0.0,52,,28.0,21.0,98496.0,212.244,ericsson,9.0,Swedish,sauber,Swiss,2016,17,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+1 Lap,0.0,0.0,11.0,0.0,93222.0,93222.0,93222.0,34,26,Cloudy,0,0,0,0,1,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,93222.0,93222.0,93222.0,24,2,52,0,0,0,0,0,0,0,0,0,0,0,3,0,1,2,3,3,1,72.0,76.0,76.0,76.0,74.0 +8.0,7,11,0.0,53,5302587.0,32.0,8.0,97020.0,215.473,grosjean,8.0,French,haas,American,2016,17,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,28.0,8.0,0.0,92458.0,92176.0,91961.0,38,30,Cloudy,0,0,0,0,1,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,91961.0,92458.0,92198.33333333331,23,7,100,0,0,0,0,1,1,1,1,0,0,1,0,4,2,0,0,0,1,100.0,83.0,81.0,81.0,78.0 +21.0,10,20,0.0,52,,30.0,13.0,97775.0,213.809,gutierrez,21.0,Mexican,haas,American,2016,17,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+1 Lap,0.0,28.0,8.0,0.0,92620.0,92155.0,92547.0,33,25,Cloudy,0,0,0,0,1,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,92155.0,92620.0,92440.66666666669,22,3,55,0,0,0,0,0,0,0,0,0,0,5,1,3,1,0,2,1,0,72.0,76.0,76.0,76.0,74.0 +44.0,2,3,15.0,53,5209109.0,36.0,2.0,95152.0,219.703,hamilton,44.0,British,mercedes,German,2016,17,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,6.0,593.0,1.0,15.0,92218.0,91129.0,90660.0,39,31,Cloudy,0,0,0,0,1,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,90660.0,92218.0,91335.66666666669,22,9,184,12,3,3,0,1,0,1,0,0,0,0,0,0,0,0,0,0,1,183.0,90.0,89.0,91.0,90.0 +27.0,9,8,4.0,53,5262510.0,39.0,10.0,97351.0,214.74,hulkenberg,27.0,German,force_india,Indian,2016,17,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,134.0,4.0,0.0,92448.0,92200.0,92142.0,37,29,Cloudy,0,0,0,0,1,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,92142.0,92448.0,92263.33333333331,23,6,113,0,0,0,1,0,1,3,2,1,2,0,0,0,0,2,0,0,0,112.0,80.0,79.0,81.0,78.0 +30.0,16,12,0.0,52,,43.0,16.0,97978.0,213.366,jolyon_palmer,30.0,British,renault,French,2016,17,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+1 Lap,0.0,8.0,9.0,0.0,92796.0,92807.0,92807.0,33,25,Cloudy,0,0,0,0,1,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,92796.0,92807.0,92803.33333333331,25,0,17,0,0,0,0,0,0,0,0,0,1,1,2,2,0,3,0,0,1,58.0,72.0,78.0,73.0,72.0 +20.0,17,14,0.0,52,,27.0,18.0,98036.0,213.24,kevin_magnussen,20.0,Danish,renault,French,2016,17,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+1 Lap,0.0,8.0,9.0,0.0,93023.0,93023.0,93023.0,32,24,Cloudy,0,0,0,0,1,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,93023.0,93023.0,93023.0,22,2,37,0,0,0,0,0,0,1,0,0,1,1,1,0,3,1,2,3,1,72.0,76.0,76.0,76.0,74.0 +26.0,13,13,0.0,52,,25.0,11.0,97597.0,214.199,kvyat,26.0,Russian,toro_rosso,Italian,2016,17,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+1 Lap,0.0,47.0,7.0,0.0,92645.0,92623.0,92623.0,30,22,Cloudy,0,0,0,0,1,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,92623.0,92645.0,92630.33333333331,20,2,55,1,0,1,0,0,0,1,0,1,2,0,1,0,2,2,1,0,0,72.0,76.0,76.0,76.0,74.0 +19.0,12,9,2.0,53,5301096.0,35.0,14.0,97785.0,213.787,massa,19.0,Brazilian,williams,British,2016,17,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,124.0,5.0,0.0,92562.0,92380.0,92380.0,43,35,Cloudy,0,0,0,0,1,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,92380.0,92562.0,92440.66666666669,25,10,195,0,0,0,0,2,1,0,2,1,3,1,1,1,0,0,0,0,1,197.0,86.0,85.0,88.0,86.0 +33.0,3,2,18.0,53,5208311.0,43.0,6.0,96386.0,216.89,max_verstappen,33.0,Dutch,red_bull,Austrian,2016,17,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,1.0,385.0,2.0,2.0,92487.0,91489.0,91178.0,27,19,Cloudy,0,0,0,0,1,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,91178.0,92487.0,91718.0,18,1,36,5,3,1,1,1,2,1,2,0,1,1,0,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +12.0,19,19,0.0,52,,28.0,22.0,98544.0,212.14,nasr,12.0,Brazilian,sauber,Swiss,2016,17,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+1 Lap,0.0,0.0,11.0,0.0,93332.0,93332.0,93332.0,32,24,Cloudy,0,0,0,0,1,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,93332.0,93332.0,93332.0,23,1,36,0,0,0,0,0,0,0,0,0,0,0,1,2,1,3,1,4,1,58.0,72.0,78.0,73.0,72.0 +11.0,5,7,6.0,53,5260828.0,31.0,7.0,96756.0,216.061,perez,11.0,Mexican,force_india,Indian,2016,17,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,134.0,4.0,0.0,92682.0,92237.0,91961.0,34,26,Cloudy,0,0,0,0,1,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,91961.0,92682.0,92293.33333333331,21,5,112,2,0,2,0,1,2,1,2,1,2,2,0,1,0,0,1,1,0,112.0,80.0,79.0,81.0,78.0 +7.0,8,5,10.0,53,5231703.0,33.0,4.0,95990.0,217.785,raikkonen,7.0,Finnish,ferrari,Italian,2016,17,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,335.0,3.0,0.0,91674.0,91406.0,90949.0,45,37,Cloudy,0,0,0,0,1,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,90949.0,91674.0,91343.0,27,10,162,4,2,2,4,2,3,0,0,1,0,0,0,0,0,0,0,0,1,158.0,89.0,81.0,86.0,84.0 +3.0,4,6,8.0,53,5237274.0,36.0,3.0,95511.0,218.877,ricciardo,3.0,Australian,red_bull,Austrian,2016,17,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,1.0,385.0,2.0,2.0,92538.0,91719.0,91240.0,35,27,Cloudy,0,0,0,0,1,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,91240.0,92538.0,91832.33333333331,22,5,105,6,4,1,5,2,0,2,0,0,0,1,0,0,0,0,0,0,0,107.0,80.0,80.0,79.0,78.0 +6.0,1,1,25.0,53,5203333.0,31.0,5.0,96049.0,217.651,rosberg,6.0,German,mercedes,German,2016,17,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,8.0,593.0,1.0,15.0,91858.0,90714.0,90647.0,39,31,Cloudy,0,0,0,0,1,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,90647.0,91858.0,91073.0,21,10,202,11,1,2,2,1,0,1,0,0,0,0,0,0,0,0,0,0,0,203.0,84.0,82.0,87.0,85.0 +55.0,14,17,0.0,52,,41.0,12.0,97723.0,213.923,sainz,55.0,Spanish,toro_rosso,Italian,2016,17,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+1 Lap,0.0,47.0,7.0,0.0,92789.0,92685.0,92685.0,30,22,Cloudy,0,0,0,0,1,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,92685.0,92789.0,92719.66666666669,21,1,36,0,0,0,0,0,1,0,4,3,0,1,1,0,2,1,0,0,1,58.0,72.0,78.0,73.0,72.0 +5.0,6,4,12.0,53,5223602.0,36.0,1.0,95118.0,219.781,vettel,5.0,German,ferrari,Italian,2016,17,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,335.0,3.0,0.0,91659.0,91227.0,91028.0,37,29,Cloudy,0,0,0,0,1,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,91028.0,91659.0,91304.66666666669,20,9,175,6,3,3,2,2,1,0,0,1,0,0,0,0,0,0,0,0,0,176.0,88.0,87.0,89.0,87.0 +14.0,12,5,10.0,56,5986571.0,36.0,10.0,103502.0,191.752,alonso,14.0,Spanish,mclaren,British,2016,18,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,0.0,74.0,6.0,0.0,97913.0,97417.0,97417.0,43,35,Sunny and hot with temperatures reaching up to 84 °F (29 °C); wind speeds approaching speeds of 9.2 miles per hour (14.8 km/h)[2],1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,97417.0,97913.0,97582.33333333331,25,10,201,0,0,0,0,1,1,4,0,0,0,1,2,1,1,0,1,0,1,203.0,84.0,82.0,87.0,85.0 +77.0,8,16,0.0,55,,34.0,18.0,104977.0,189.058,bottas,77.0,Finnish,williams,British,2016,18,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,+1 Lap,0.0,130.0,5.0,0.0,97456.0,97202.0,97116.0,35,27,Sunny and hot with temperatures reaching up to 84 °F (29 °C); wind speeds approaching speeds of 9.2 miles per hour (14.8 km/h)[2],1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,97116.0,97456.0,97258.0,24,3,75,1,0,1,1,2,2,0,2,4,2,0,1,0,1,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +22.0,19,9,2.0,55,,37.0,15.0,104468.0,189.979,button,22.0,British,mclaren,British,2016,18,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,+1 Lap,0.0,74.0,6.0,0.0,98327.0,98327.0,98327.0,44,36,Sunny and hot with temperatures reaching up to 84 °F (29 °C); wind speeds approaching speeds of 9.2 miles per hour (14.8 km/h)[2],1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,98327.0,98327.0,98327.0,26,10,203,0,0,0,0,0,1,0,1,3,1,1,2,1,1,0,0,0,1,207.0,83.0,82.0,86.0,84.0 +9.0,16,14,0.0,55,,19.0,19.0,105140.0,188.765,ericsson,9.0,Swedish,sauber,Swiss,2016,18,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,+1 Lap,0.0,0.0,11.0,0.0,98040.0,99356.0,99356.0,34,26,Sunny and hot with temperatures reaching up to 84 °F (29 °C); wind speeds approaching speeds of 9.2 miles per hour (14.8 km/h)[2],1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,98040.0,99356.0,98917.33333333331,24,2,53,0,0,0,0,0,0,0,0,0,0,0,3,0,1,3,3,3,1,72.0,76.0,76.0,76.0,74.0 +8.0,17,10,1.0,55,,35.0,14.0,104335.0,190.221,grosjean,8.0,French,haas,American,2016,18,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,+1 Lap,0.0,29.0,8.0,0.0,98308.0,98308.0,98308.0,38,30,Sunny and hot with temperatures reaching up to 84 °F (29 °C); wind speeds approaching speeds of 9.2 miles per hour (14.8 km/h)[2],1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,98308.0,98308.0,98308.0,23,7,101,0,0,0,0,1,1,1,1,0,0,2,0,4,2,0,0,0,1,100.0,83.0,81.0,81.0,78.0 +44.0,1,1,25.0,56,5892618.0,45.0,4.0,102386.0,193.842,hamilton,44.0,British,mercedes,German,2016,18,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,6.0,636.0,1.0,16.0,96296.0,96450.0,94999.0,39,31,Sunny and hot with temperatures reaching up to 84 °F (29 °C); wind speeds approaching speeds of 9.2 miles per hour (14.8 km/h)[2],1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,94999.0,96450.0,95915.0,22,9,185,13,3,4,0,1,0,1,0,0,0,0,0,0,0,0,0,0,1,183.0,90.0,89.0,91.0,90.0 +30.0,15,13,0.0,55,,18.0,16.0,104724.0,189.515,jolyon_palmer,30.0,British,renault,French,2016,18,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,+1 Lap,0.0,8.0,9.0,0.0,98084.0,97935.0,97935.0,33,25,Sunny and hot with temperatures reaching up to 84 °F (29 °C); wind speeds approaching speeds of 9.2 miles per hour (14.8 km/h)[2],1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,97935.0,98084.0,97984.66666666669,25,0,18,0,0,0,0,0,0,0,0,0,1,1,3,2,0,3,0,0,1,58.0,72.0,78.0,73.0,72.0 +20.0,18,12,0.0,55,,48.0,17.0,104730.0,189.504,kevin_magnussen,20.0,Danish,renault,French,2016,18,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,+1 Lap,0.0,8.0,9.0,0.0,98317.0,98317.0,98317.0,32,24,Sunny and hot with temperatures reaching up to 84 °F (29 °C); wind speeds approaching speeds of 9.2 miles per hour (14.8 km/h)[2],1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,98317.0,98317.0,98317.0,22,2,38,0,0,0,0,0,0,1,0,0,1,1,1,0,4,1,2,3,1,72.0,76.0,76.0,76.0,74.0 +26.0,13,11,0.0,55,,45.0,6.0,102475.0,193.674,kvyat,26.0,Russian,toro_rosso,Italian,2016,18,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,+1 Lap,0.0,55.0,7.0,0.0,97844.0,97480.0,97480.0,30,22,Sunny and hot with temperatures reaching up to 84 °F (29 °C); wind speeds approaching speeds of 9.2 miles per hour (14.8 km/h)[2],1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,97480.0,97844.0,97601.33333333331,20,2,56,1,0,1,0,0,0,1,0,1,2,0,1,1,2,2,1,0,0,72.0,76.0,76.0,76.0,74.0 +19.0,9,7,6.0,55,,33.0,9.0,103414.0,191.915,massa,19.0,Brazilian,williams,British,2016,18,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,+1 Lap,0.0,130.0,5.0,0.0,97402.0,97214.0,97269.0,43,35,Sunny and hot with temperatures reaching up to 84 °F (29 °C); wind speeds approaching speeds of 9.2 miles per hour (14.8 km/h)[2],1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,97214.0,97402.0,97295.0,25,10,196,0,0,0,0,2,1,0,2,2,3,1,1,1,0,0,0,0,1,197.0,86.0,85.0,88.0,86.0 +12.0,21,15,0.0,55,,55.0,13.0,104117.0,190.62,nasr,12.0,Brazilian,sauber,Swiss,2016,18,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,+1 Lap,0.0,0.0,11.0,0.0,98583.0,98583.0,98583.0,32,24,Sunny and hot with temperatures reaching up to 84 °F (29 °C); wind speeds approaching speeds of 9.2 miles per hour (14.8 km/h)[2],1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,98583.0,98583.0,98583.0,23,1,37,0,0,0,0,0,0,0,0,0,0,0,1,2,1,3,1,4,1,72.0,76.0,76.0,76.0,74.0 +31.0,22,18,0.0,54,,46.0,11.0,103585.0,191.599,ocon,31.0,French,manor,British,2016,18,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,+2 Laps,0.0,1.0,10.0,0.0,98806.0,98806.0,98806.0,28,20,Sunny and hot with temperatures reaching up to 84 °F (29 °C); wind speeds approaching speeds of 9.2 miles per hour (14.8 km/h)[2],1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,98806.0,98806.0,98806.0,20,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,2,58.0,72.0,78.0,73.0,72.0 +11.0,11,8,4.0,55,,33.0,12.0,103925.0,190.972,perez,11.0,Mexican,force_india,Indian,2016,18,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,+1 Lap,0.0,138.0,4.0,0.0,97345.0,97353.0,97353.0,34,26,Sunny and hot with temperatures reaching up to 84 °F (29 °C); wind speeds approaching speeds of 9.2 miles per hour (14.8 km/h)[2],1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,97345.0,97353.0,97350.33333333331,21,5,113,2,0,2,0,1,2,2,2,1,2,2,0,1,0,0,1,1,0,112.0,80.0,79.0,81.0,78.0 +3.0,3,3,15.0,56,5912310.0,51.0,7.0,102555.0,193.523,ricciardo,3.0,Australian,red_bull,Austrian,2016,18,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,1.0,400.0,2.0,2.0,96759.0,96255.0,95509.0,35,27,Sunny and hot with temperatures reaching up to 84 °F (29 °C); wind speeds approaching speeds of 9.2 miles per hour (14.8 km/h)[2],1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,95509.0,96759.0,96174.33333333331,22,5,106,6,4,1,5,2,1,2,0,0,0,1,0,0,0,0,0,0,0,107.0,80.0,80.0,79.0,78.0 +6.0,2,2,18.0,56,5897138.0,34.0,3.0,101897.0,194.773,rosberg,6.0,German,mercedes,German,2016,18,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,9.0,636.0,1.0,16.0,96397.0,96351.0,95215.0,39,31,Sunny and hot with temperatures reaching up to 84 °F (29 °C); wind speeds approaching speeds of 9.2 miles per hour (14.8 km/h)[2],1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,95215.0,96397.0,95987.66666666669,21,10,203,12,1,2,2,1,0,1,0,0,0,0,0,0,0,0,0,0,0,207.0,83.0,82.0,86.0,84.0 +55.0,10,6,8.0,56,5988742.0,33.0,8.0,102832.0,193.002,sainz,55.0,Spanish,toro_rosso,Italian,2016,18,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,0.0,55.0,7.0,0.0,97744.0,97175.0,97326.0,30,22,Sunny and hot with temperatures reaching up to 84 °F (29 °C); wind speeds approaching speeds of 9.2 miles per hour (14.8 km/h)[2],1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,97175.0,97744.0,97415.0,21,1,37,0,0,0,0,0,1,0,4,3,0,1,1,0,2,1,0,1,1,72.0,76.0,76.0,76.0,74.0 +5.0,6,4,12.0,56,5935752.0,55.0,1.0,99877.0,198.712,vettel,5.0,German,ferrari,Italian,2016,18,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,0.0,347.0,3.0,0.0,97151.0,96462.0,96358.0,37,29,Sunny and hot with temperatures reaching up to 84 °F (29 °C); wind speeds approaching speeds of 9.2 miles per hour (14.8 km/h)[2],1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,96358.0,97151.0,96657.0,20,9,176,6,3,3,3,2,1,0,0,1,0,0,0,0,0,0,0,0,0,176.0,88.0,87.0,89.0,87.0 +94.0,20,17,0.0,55,,36.0,21.0,105451.0,188.208,wehrlein,94.0,German,manor,British,2016,18,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,+1 Lap,0.0,1.0,10.0,0.0,98548.0,98548.0,98548.0,30,22,Sunny and hot with temperatures reaching up to 84 °F (29 °C); wind speeds approaching speeds of 9.2 miles per hour (14.8 km/h)[2],1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,98548.0,98548.0,98548.0,22,0,18,0,0,0,0,0,0,0,0,0,1,0,0,1,1,1,3,2,2,58.0,72.0,78.0,73.0,72.0 +14.0,11,13,0.0,70,,69.0,16.0,83668.0,185.189,alonso,14.0,Spanish,mclaren,British,2016,19,Mexican Grand Prix,68400000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,+1 Lap,0.0,74.0,6.0,0.0,80552.0,80282.0,80282.0,43,35,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.304,71.0,305.354,80282.0,80552.0,80372.0,25,10,202,0,0,0,0,2,1,4,0,0,0,1,2,1,1,0,1,0,1,203.0,84.0,82.0,87.0,85.0 +77.0,8,8,4.0,71,6097014.0,65.0,11.0,83540.0,185.472,bottas,77.0,Finnish,williams,British,2016,19,Mexican Grand Prix,68400000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,Finished,0.0,136.0,5.0,0.0,80338.0,79958.0,79551.0,35,27,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.304,71.0,305.354,79551.0,80338.0,79949.0,24,3,76,1,0,1,1,2,2,0,2,4,2,0,1,0,1,0,1,0,0,74.0,75.0,75.0,72.0,71.0 +22.0,13,12,0.0,70,,70.0,17.0,83777.0,184.948,button,22.0,British,mclaren,British,2016,19,Mexican Grand Prix,68400000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,+1 Lap,0.0,74.0,6.0,0.0,81333.0,80673.0,80673.0,44,36,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.304,71.0,305.354,80673.0,81333.0,80893.0,26,10,204,0,0,0,0,0,1,0,1,4,1,1,2,1,1,0,0,0,1,207.0,83.0,82.0,86.0,84.0 +9.0,15,11,0.0,70,,65.0,18.0,84340.0,183.713,ericsson,9.0,Swedish,sauber,Swiss,2016,19,Mexican Grand Prix,68400000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,+1 Lap,0.0,0.0,11.0,0.0,81062.0,81536.0,81536.0,34,26,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.304,71.0,305.354,81062.0,81536.0,81378.0,24,2,54,0,0,0,0,0,0,0,0,0,0,0,3,0,2,3,3,3,1,72.0,76.0,76.0,76.0,74.0 +8.0,22,20,0.0,70,,53.0,8.0,83278.0,186.056,grosjean,8.0,French,haas,American,2016,19,Mexican Grand Prix,68400000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,+1 Lap,0.0,29.0,8.0,0.0,81916.0,81916.0,81916.0,38,30,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.304,71.0,305.354,81916.0,81916.0,81916.0,23,7,102,0,0,0,0,1,1,1,1,0,1,2,0,4,2,0,0,0,1,102.0,87.0,81.0,81.0,79.0 +21.0,17,19,0.0,70,,63.0,10.0,83456.0,185.659,gutierrez,21.0,Mexican,haas,American,2016,19,Mexican Grand Prix,68400000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,+1 Lap,0.0,29.0,8.0,0.0,81401.0,81401.0,81401.0,33,25,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.304,71.0,305.354,81401.0,81401.0,81401.0,22,3,57,0,0,0,0,0,0,0,0,0,0,5,1,3,1,0,2,1,0,72.0,76.0,76.0,76.0,74.0 +44.0,1,1,25.0,71,6031402.0,66.0,4.0,82596.0,187.592,hamilton,44.0,British,mercedes,German,2016,19,Mexican Grand Prix,68400000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,Finished,7.0,679.0,1.0,17.0,79447.0,79137.0,78704.0,39,31,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.304,71.0,305.354,78704.0,79447.0,79096.0,22,9,186,14,3,4,0,1,0,1,0,0,0,0,0,0,0,0,0,0,1,186.0,90.0,88.0,92.0,90.0 +27.0,5,7,6.0,71,6090293.0,50.0,9.0,83288.0,186.034,hulkenberg,27.0,German,force_india,Indian,2016,19,Mexican Grand Prix,68400000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,Finished,0.0,145.0,4.0,0.0,80599.0,79769.0,79330.0,37,29,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.304,71.0,305.354,79330.0,80599.0,79899.33333333333,23,6,115,0,0,0,1,0,1,3,3,1,2,0,0,0,0,2,0,0,0,115.0,80.0,78.0,82.0,78.0 +30.0,21,14,0.0,70,,64.0,20.0,84574.0,183.205,jolyon_palmer,30.0,British,renault,French,2016,19,Mexican Grand Prix,68400000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,+1 Lap,0.0,8.0,9.0,0.0,81916.0,81916.0,81916.0,33,25,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.304,71.0,305.354,81916.0,81916.0,81916.0,25,0,19,0,0,0,0,0,0,0,0,0,1,1,3,3,0,3,0,0,1,58.0,72.0,78.0,73.0,72.0 +20.0,14,17,0.0,70,,53.0,7.0,83146.0,186.351,kevin_magnussen,20.0,Danish,renault,French,2016,19,Mexican Grand Prix,68400000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,+1 Lap,0.0,8.0,9.0,0.0,81254.0,81131.0,81131.0,32,24,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.304,71.0,305.354,81131.0,81254.0,81172.0,22,2,39,0,0,0,0,0,0,1,0,0,1,1,2,0,4,1,2,3,1,72.0,76.0,76.0,76.0,74.0 +26.0,18,18,0.0,70,,59.0,14.0,83618.0,185.299,kvyat,26.0,Russian,toro_rosso,Italian,2016,19,Mexican Grand Prix,68400000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,+1 Lap,0.0,55.0,7.0,0.0,81454.0,81454.0,81454.0,30,22,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.304,71.0,305.354,81454.0,81454.0,81454.0,20,2,57,1,0,1,0,0,0,1,0,1,2,1,1,1,2,2,1,0,0,72.0,76.0,76.0,76.0,74.0 +19.0,9,9,2.0,71,6107608.0,64.0,12.0,83576.0,185.392,massa,19.0,Brazilian,williams,British,2016,19,Mexican Grand Prix,68400000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,Finished,0.0,136.0,5.0,0.0,80423.0,80151.0,80032.0,43,35,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.304,71.0,305.354,80032.0,80423.0,80202.0,25,10,197,0,0,0,0,2,1,1,2,2,3,1,1,1,0,0,0,0,1,197.0,86.0,85.0,88.0,86.0 +33.0,3,4,12.0,71,6052725.0,66.0,6.0,82887.0,186.934,max_verstappen,33.0,Dutch,red_bull,Austrian,2016,19,Mexican Grand Prix,68400000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,Finished,1.0,427.0,2.0,2.0,79874.0,78972.0,79054.0,27,19,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.304,71.0,305.354,78972.0,79874.0,79300.0,18,1,38,6,4,1,1,1,2,1,2,0,1,1,0,0,0,0,0,0,1,72.0,76.0,76.0,76.0,74.0 +12.0,19,15,0.0,70,,58.0,15.0,83657.0,185.213,nasr,12.0,Brazilian,sauber,Swiss,2016,19,Mexican Grand Prix,68400000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,+1 Lap,0.0,0.0,11.0,0.0,81692.0,81692.0,81692.0,32,24,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.304,71.0,305.354,81692.0,81692.0,81692.0,23,1,38,0,0,0,0,0,0,0,0,0,0,0,1,2,1,4,1,4,1,72.0,76.0,76.0,76.0,74.0 +11.0,12,10,1.0,71,6108200.0,62.0,13.0,83607.0,185.324,perez,11.0,Mexican,force_india,Indian,2016,19,Mexican Grand Prix,68400000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,Finished,0.0,145.0,4.0,0.0,80308.0,80287.0,80287.0,34,26,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.304,71.0,305.354,80287.0,80308.0,80294.0,21,5,114,2,0,2,0,1,2,2,3,1,2,2,0,1,0,0,1,1,0,115.0,80.0,78.0,82.0,78.0 +7.0,6,6,8.0,71,6080778.0,47.0,3.0,82512.0,187.783,raikkonen,7.0,Finnish,ferrari,Italian,2016,19,Mexican Grand Prix,68400000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,Finished,0.0,365.0,3.0,0.0,79554.0,79936.0,79376.0,45,37,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.304,71.0,305.354,79376.0,79936.0,79622.0,27,10,164,4,2,2,4,3,3,0,0,1,0,0,0,0,0,0,0,0,1,162.0,86.0,81.0,84.0,83.0 +3.0,4,3,15.0,71,6052260.0,53.0,1.0,81134.0,190.972,ricciardo,3.0,Australian,red_bull,Austrian,2016,19,Mexican Grand Prix,68400000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,Finished,1.0,427.0,2.0,2.0,79713.0,79553.0,79133.0,35,27,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.304,71.0,305.354,79133.0,79713.0,79466.33333333333,22,5,107,7,4,2,5,2,1,2,0,0,0,1,0,0,0,0,0,0,0,107.0,80.0,80.0,79.0,78.0 +6.0,2,2,18.0,71,6039756.0,43.0,5.0,82792.0,187.148,rosberg,6.0,German,mercedes,German,2016,19,Mexican Grand Prix,68400000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,Finished,9.0,679.0,1.0,17.0,79996.0,79761.0,78958.0,39,31,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.304,71.0,305.354,78958.0,79996.0,79571.66666666667,21,10,204,13,2,2,2,1,0,1,0,0,0,0,0,0,0,0,0,0,0,207.0,83.0,82.0,86.0,84.0 +55.0,10,16,0.0,70,,52.0,19.0,84467.0,183.437,sainz,55.0,Spanish,toro_rosso,Italian,2016,19,Mexican Grand Prix,68400000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,+1 Lap,0.0,55.0,7.0,0.0,80457.0,80169.0,80378.0,30,22,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.304,71.0,305.354,80169.0,80457.0,80334.66666666667,21,1,38,0,0,0,0,0,2,0,4,3,0,1,1,0,2,1,0,1,1,72.0,76.0,76.0,76.0,74.0 +5.0,7,5,10.0,71,6058715.0,61.0,2.0,82497.0,187.817,vettel,5.0,German,ferrari,Italian,2016,19,Mexican Grand Prix,68400000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,Finished,0.0,365.0,3.0,0.0,79865.0,79385.0,79381.0,37,29,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.304,71.0,305.354,79381.0,79865.0,79543.66666666667,20,9,177,6,3,3,4,2,1,0,0,1,0,0,0,0,0,0,0,0,0,176.0,88.0,87.0,89.0,87.0 +14.0,10,10,1.0,71,10905767.0,70.0,12.0,87104.0,178.09,alonso,14.0,Spanish,mclaren,British,2016,20,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,75.0,6.0,0.0,72700.0,72312.0,72266.0,43,35,Rain and 16 °C (60.8 °F),0,0,0,1,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,72266.0,72700.0,72426.0,25,10,203,0,0,0,0,2,1,4,0,0,0,1,2,2,1,0,1,0,1,207.0,83.0,82.0,86.0,84.0 +77.0,11,11,0.0,71,10906627.0,70.0,4.0,86062.0,180.246,bottas,77.0,Finnish,williams,British,2016,20,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,136.0,5.0,0.0,72680.0,72420.0,72420.0,35,27,Rain and 16 °C (60.8 °F),0,0,0,1,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,72420.0,72680.0,72506.66666666667,24,3,77,1,0,1,1,2,2,0,3,4,2,0,1,0,1,0,1,0,0,74.0,75.0,75.0,72.0,71.0 +22.0,17,16,0.0,71,10943329.0,38.0,10.0,86983.0,178.338,button,22.0,British,mclaren,British,2016,20,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,75.0,6.0,0.0,73276.0,73276.0,73276.0,44,36,Rain and 16 °C (60.8 °F),0,0,0,1,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,73276.0,73276.0,73276.0,26,10,205,0,0,0,0,0,1,0,1,4,1,1,3,1,1,0,0,0,1,207.0,83.0,82.0,86.0,84.0 +44.0,1,1,25.0,71,10861335.0,44.0,3.0,85639.0,181.137,hamilton,44.0,British,mercedes,German,2016,20,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,8.0,722.0,1.0,18.0,71511.0,71238.0,70736.0,39,31,Rain and 16 °C (60.8 °F),0,0,0,1,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,70736.0,71511.0,71161.66666666667,22,9,187,15,3,4,0,1,0,1,0,0,0,0,0,0,0,0,0,0,1,186.0,90.0,88.0,92.0,90.0 +27.0,8,7,6.0,71,10891162.0,69.0,8.0,86728.0,178.862,hulkenberg,27.0,German,force_india,Indian,2016,20,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,163.0,4.0,0.0,72428.0,72360.0,72104.0,37,29,Rain and 16 °C (60.8 °F),0,0,0,1,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,72104.0,72428.0,72297.33333333333,23,6,116,0,0,0,1,0,1,4,3,1,2,0,0,0,0,2,0,0,0,115.0,80.0,78.0,82.0,78.0 +20.0,18,14,0.0,71,10912890.0,69.0,7.0,86524.0,179.284,kevin_magnussen,20.0,Danish,renault,French,2016,20,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,8.0,9.0,0.0,73410.0,73410.0,73410.0,32,24,Rain and 16 °C (60.8 °F),0,0,0,1,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,73410.0,73410.0,73410.0,22,2,40,0,0,0,0,0,0,1,0,0,1,1,2,0,4,1,2,4,1,72.0,76.0,76.0,76.0,74.0 +26.0,14,13,0.0,71,10912527.0,42.0,14.0,87476.0,177.333,kvyat,26.0,Russian,toro_rosso,Italian,2016,20,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,63.0,7.0,0.0,73071.0,72726.0,72726.0,30,22,Rain and 16 °C (60.8 °F),0,0,0,1,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,72726.0,73071.0,72841.0,20,2,58,1,0,1,0,0,0,1,0,1,2,1,1,1,2,2,1,0,1,72.0,76.0,76.0,76.0,74.0 +33.0,4,3,15.0,71,10882816.0,67.0,1.0,85305.0,181.846,max_verstappen,33.0,Dutch,red_bull,Austrian,2016,20,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,1.0,446.0,2.0,2.0,71957.0,71834.0,71485.0,27,19,Rain and 16 °C (60.8 °F),0,0,0,1,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,71485.0,71957.0,71758.66666666667,18,1,39,6,4,1,2,1,2,1,2,0,1,1,0,0,0,0,0,0,1,72.0,76.0,76.0,76.0,74.0 +12.0,21,9,2.0,71,10903955.0,70.0,15.0,87547.0,177.189,nasr,12.0,Brazilian,sauber,Swiss,2016,20,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,2.0,10.0,0.0,73681.0,73681.0,73681.0,32,24,Rain and 16 °C (60.8 °F),0,0,0,1,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,73681.0,73681.0,73681.0,23,1,39,0,0,0,0,0,0,0,0,0,0,0,1,2,1,5,1,4,1,72.0,76.0,76.0,76.0,74.0 +31.0,22,12,0.0,71,10907144.0,47.0,16.0,87796.0,176.686,ocon,31.0,French,manor,British,2016,20,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,1.0,11.0,0.0,73432.0,73432.0,73432.0,28,20,Rain and 16 °C (60.8 °F),0,0,0,1,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,73432.0,73432.0,73432.0,20,0,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,3,58.0,72.0,78.0,73.0,72.0 +11.0,9,4,12.0,71,10886681.0,41.0,11.0,87093.0,178.113,perez,11.0,Mexican,force_india,Indian,2016,20,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,163.0,4.0,0.0,72684.0,72331.0,72165.0,34,26,Rain and 16 °C (60.8 °F),0,0,0,1,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,72165.0,72684.0,72393.33333333333,21,5,115,2,0,2,0,1,2,2,3,1,3,2,0,1,0,0,1,1,0,115.0,80.0,78.0,82.0,78.0 +3.0,6,8,4.0,71,10891821.0,42.0,2.0,85532.0,181.363,ricciardo,3.0,Australian,red_bull,Austrian,2016,20,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,1.0,446.0,2.0,2.0,72409.0,72047.0,71540.0,35,27,Rain and 16 °C (60.8 °F),0,0,0,1,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,71540.0,72409.0,71998.66666666667,22,5,108,8,4,3,5,2,1,2,0,0,0,1,0,0,0,0,0,0,0,107.0,80.0,80.0,79.0,78.0 +6.0,2,2,18.0,71,10872790.0,47.0,6.0,86222.0,179.912,rosberg,6.0,German,mercedes,German,2016,20,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,9.0,722.0,1.0,18.0,71815.0,71373.0,70838.0,39,31,Rain and 16 °C (60.8 °F),0,0,0,1,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,70838.0,71815.0,71342.0,21,10,205,14,3,2,2,1,0,1,0,0,0,0,0,0,0,0,0,0,0,207.0,83.0,82.0,86.0,84.0 +55.0,15,6,8.0,71,10890495.0,38.0,13.0,87153.0,177.99,sainz,55.0,Spanish,toro_rosso,Italian,2016,20,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,63.0,7.0,0.0,72950.0,72920.0,72920.0,30,22,Rain and 16 °C (60.8 °F),0,0,0,1,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,72920.0,72950.0,72930.0,21,1,39,0,0,0,0,0,2,0,4,3,0,1,1,0,2,1,1,1,1,72.0,76.0,76.0,76.0,74.0 +5.0,5,5,10.0,71,10887669.0,70.0,5.0,86195.0,179.968,vettel,5.0,German,ferrari,Italian,2016,20,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,375.0,3.0,0.0,72159.0,72010.0,71495.0,37,29,Rain and 16 °C (60.8 °F),0,0,0,1,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,71495.0,72159.0,71888.0,20,9,178,6,3,3,4,3,1,0,0,1,0,0,0,0,0,0,0,0,0,176.0,88.0,87.0,89.0,87.0 +94.0,19,15,0.0,71,10921833.0,69.0,18.0,87919.0,176.439,wehrlein,94.0,German,manor,British,2016,20,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,1.0,11.0,0.0,73427.0,73427.0,73427.0,30,22,Rain and 16 °C (60.8 °F),0,0,0,1,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,73427.0,73427.0,73427.0,22,0,20,0,0,0,0,0,0,0,0,0,1,0,0,1,1,1,3,3,2,58.0,72.0,78.0,73.0,72.0 +14.0,9,10,1.0,55,5943909.0,50.0,2.0,104495.0,191.343,alonso,14.0,Spanish,mclaren,British,2016,21,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,76.0,6.0,0.0,101616.0,101044.0,101106.0,43,35,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,101044.0,101616.0,101255.33333333331,25,10,204,0,0,0,0,2,1,4,0,0,1,1,2,2,1,0,1,0,1,207.0,83.0,82.0,86.0,84.0 +9.0,22,15,0.0,54,,40.0,16.0,106216.0,188.242,ericsson,9.0,Swedish,sauber,Swiss,2016,21,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,2.0,10.0,0.0,102637.0,102637.0,102637.0,34,26,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,102637.0,102637.0,102637.0,24,2,56,0,0,0,0,0,0,0,0,0,0,1,3,0,2,3,3,3,1,72.0,76.0,76.0,76.0,74.0 +8.0,14,11,0.0,55,5960790.0,45.0,4.0,104970.0,190.477,grosjean,8.0,French,haas,American,2016,21,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,29.0,8.0,0.0,101467.0,101564.0,101564.0,38,30,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,101467.0,101564.0,101531.66666666669,23,7,104,0,0,0,0,1,1,1,1,0,1,2,0,4,2,0,0,0,1,107.0,80.0,80.0,79.0,78.0 +21.0,13,12,0.0,55,5979126.0,45.0,12.0,105928.0,188.754,gutierrez,21.0,Mexican,haas,American,2016,21,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,29.0,8.0,0.0,101639.0,101480.0,101480.0,33,25,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,101480.0,101639.0,101533.0,22,3,59,0,0,0,0,0,0,0,0,0,0,5,1,3,1,0,2,2,0,72.0,76.0,76.0,76.0,74.0 +44.0,1,1,25.0,55,5884013.0,37.0,5.0,105137.0,190.174,hamilton,44.0,British,mercedes,German,2016,21,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,9.0,765.0,1.0,19.0,99487.0,99382.0,98755.0,39,31,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,98755.0,99487.0,99208.0,22,9,188,16,3,4,0,1,0,1,0,0,0,0,0,0,0,0,0,0,1,186.0,90.0,88.0,92.0,90.0 +27.0,7,7,6.0,55,5934127.0,31.0,13.0,105949.0,188.717,hulkenberg,27.0,German,force_india,Indian,2016,21,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,173.0,4.0,0.0,101000.0,100709.0,100501.0,37,29,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,100501.0,101000.0,100736.66666666669,23,6,117,0,0,0,1,0,1,5,3,1,2,0,0,0,0,2,0,0,0,115.0,80.0,78.0,82.0,78.0 +30.0,15,17,0.0,54,,46.0,11.0,105715.0,189.134,jolyon_palmer,30.0,British,renault,French,2016,21,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,8.0,9.0,0.0,101775.0,101820.0,101820.0,33,25,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,101775.0,101820.0,101805.0,25,0,21,0,0,0,0,0,0,0,0,0,1,1,3,3,1,3,0,0,1,58.0,72.0,78.0,73.0,72.0 +19.0,10,9,2.0,55,5943449.0,33.0,10.0,105675.0,189.206,massa,19.0,Brazilian,williams,British,2016,21,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,138.0,5.0,0.0,101157.0,100858.0,101213.0,43,35,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,100858.0,101213.0,101076.0,25,10,199,0,0,0,0,2,1,1,2,3,3,1,1,1,0,0,0,0,2,200.0,86.0,85.0,88.0,86.0 +33.0,6,4,12.0,55,5885698.0,36.0,7.0,105187.0,190.084,max_verstappen,33.0,Dutch,red_bull,Austrian,2016,21,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,1.0,468.0,2.0,2.0,100424.0,99903.0,99818.0,27,19,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,99818.0,100424.0,100048.33333333331,18,1,40,7,4,2,2,1,2,1,2,0,1,1,0,0,0,0,0,0,1,72.0,76.0,76.0,76.0,74.0 +12.0,19,16,0.0,54,,44.0,17.0,106287.0,188.117,nasr,12.0,Brazilian,sauber,Swiss,2016,21,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,2.0,10.0,0.0,102247.0,102247.0,102247.0,32,24,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,102247.0,102247.0,102247.0,23,1,40,0,0,0,0,0,0,0,0,1,0,0,1,2,1,5,1,4,1,72.0,76.0,76.0,76.0,74.0 +31.0,20,13,0.0,54,,46.0,15.0,106189.0,188.29,ocon,31.0,French,manor,British,2016,21,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,1.0,11.0,0.0,102286.0,102286.0,102286.0,28,20,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,102286.0,102286.0,102286.0,20,0,9,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,2,0,3,58.0,72.0,78.0,73.0,72.0 +11.0,8,8,4.0,55,5942789.0,30.0,8.0,105249.0,189.972,perez,11.0,Mexican,force_india,Indian,2016,21,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,173.0,4.0,0.0,100864.0,100743.0,100519.0,34,26,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,100519.0,100864.0,100708.66666666669,21,5,116,2,0,2,1,1,2,2,3,1,3,2,0,1,0,0,1,1,0,115.0,80.0,78.0,82.0,78.0 +7.0,4,6,8.0,55,5902829.0,35.0,6.0,105163.0,190.127,raikkonen,7.0,Finnish,ferrari,Italian,2016,21,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,398.0,3.0,0.0,100338.0,99629.0,99604.0,45,37,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,99604.0,100338.0,99857.0,27,10,166,4,2,2,4,3,4,0,0,1,0,0,0,0,0,0,0,0,1,165.0,89.0,83.0,87.0,85.0 +3.0,3,5,10.0,55,5889328.0,29.0,3.0,104889.0,190.624,ricciardo,3.0,Australian,red_bull,Austrian,2016,21,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,1.0,468.0,2.0,2.0,101002.0,100429.0,99589.0,35,27,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,99589.0,101002.0,100340.0,22,5,109,8,4,3,5,2,1,2,1,0,0,1,0,0,0,0,0,0,0,110.0,79.0,79.0,79.0,77.0 +6.0,2,2,18.0,55,5884452.0,33.0,9.0,105261.0,189.95,rosberg,6.0,German,mercedes,German,2016,21,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,9.0,765.0,1.0,19.0,100511.0,99490.0,99058.0,39,31,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,99058.0,100511.0,99686.33333333331,21,10,206,15,4,2,2,1,0,1,0,0,0,0,0,0,0,0,0,0,0,207.0,83.0,82.0,86.0,84.0 +5.0,5,3,15.0,55,5884856.0,43.0,1.0,103729.0,192.756,vettel,5.0,German,ferrari,Italian,2016,21,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,398.0,3.0,0.0,100341.0,100034.0,99661.0,37,29,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,99661.0,100341.0,100012.0,20,9,179,6,3,3,4,4,1,0,0,1,0,0,0,0,0,0,0,0,0,176.0,88.0,87.0,89.0,87.0 +94.0,16,14,0.0,54,,26.0,14.0,106145.0,188.368,wehrlein,94.0,German,manor,British,2016,21,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,1.0,11.0,0.0,101886.0,101995.0,101995.0,30,22,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,101886.0,101995.0,101958.66666666669,22,0,21,0,0,0,0,0,0,0,0,0,1,0,0,1,1,2,3,3,2,58.0,72.0,78.0,73.0,72.0 +77.0,3,3,15.0,57,5062922.0,56.0,2.0,86593.0,220.465,bottas,77.0,Finnish,mercedes,German,2017,1,Australian Grand Prix,18000000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,33.0,2.0,0.0,84514.0,83215.0,82481.0,35,28,Partly cloudy24 °C (75 °F) air temperature31–36 °C (88–97 °F) track temperature2 m/s (4.5 mph; 7.2 km/h) wind from the northwest[3],0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,82481.0,84514.0,83403.33333333333,24,4,79,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +36.0,16,12,0.0,55,,51.0,13.0,89052.0,214.378,giovinazzi,99.0,Italian,sauber,Swiss,2017,1,Australian Grand Prix,18000000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+2 Laps,0.0,0.0,8.0,0.0,86419.0,86419.0,86419.0,31,24,Partly cloudy24 °C (75 °F) air temperature31–36 °C (88–97 °F) track temperature2 m/s (4.5 mph; 7.2 km/h) wind from the northwest[3],0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,86419.0,86419.0,86419.0,24,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +44.0,1,2,18.0,57,5061647.0,44.0,6.0,87033.0,219.351,hamilton,44.0,British,mercedes,German,2017,1,Australian Grand Prix,18000000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,33.0,2.0,0.0,84191.0,83251.0,82188.0,39,32,Partly cloudy24 °C (75 °F) air temperature31–36 °C (88–97 °F) track temperature2 m/s (4.5 mph; 7.2 km/h) wind from the northwest[3],0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,82188.0,84191.0,83210.0,22,10,189,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,186.0,90.0,88.0,92.0,90.0 +27.0,11,11,0.0,56,,55.0,12.0,88486.0,215.749,hulkenberg,27.0,German,renault,French,2017,1,Australian Grand Prix,18000000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+1 Lap,0.0,0.0,7.0,0.0,84975.0,85091.0,85091.0,37,30,Partly cloudy24 °C (75 °F) air temperature31–36 °C (88–97 °F) track temperature2 m/s (4.5 mph; 7.2 km/h) wind from the northwest[3],0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,84975.0,85091.0,85052.33333333333,23,7,118,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,115.0,80.0,78.0,82.0,78.0 +26.0,9,9,2.0,56,,51.0,4.0,86711.0,220.165,kvyat,26.0,Russian,toro_rosso,Italian,2017,1,Australian Grand Prix,18000000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+1 Lap,0.0,6.0,6.0,0.0,85970.0,84864.0,84512.0,30,23,Partly cloudy24 °C (75 °F) air temperature31–36 °C (88–97 °F) track temperature2 m/s (4.5 mph; 7.2 km/h) wind from the northwest[3],0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,84512.0,85970.0,85115.33333333333,20,3,60,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +19.0,7,6,8.0,57,5135058.0,49.0,9.0,88045.0,216.83,massa,19.0,Brazilian,williams,British,2017,1,Australian Grand Prix,18000000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,8.0,4.0,0.0,85099.0,84597.0,84443.0,43,36,Partly cloudy24 °C (75 °F) air temperature31–36 °C (88–97 °F) track temperature2 m/s (4.5 mph; 7.2 km/h) wind from the northwest[3],0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,84443.0,85099.0,84713.0,25,11,200,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,200.0,86.0,85.0,88.0,86.0 +33.0,5,5,10.0,57,5080499.0,43.0,5.0,86964.0,219.525,max_verstappen,33.0,Dutch,red_bull,Austrian,2017,1,Australian Grand Prix,18000000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,10.0,3.0,0.0,84482.0,84092.0,83485.0,27,20,Partly cloudy24 °C (75 °F) air temperature31–36 °C (88–97 °F) track temperature2 m/s (4.5 mph; 7.2 km/h) wind from the northwest[3],0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,83485.0,84482.0,84019.66666666667,18,2,41,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +31.0,13,10,1.0,56,,55.0,11.0,88475.0,215.776,ocon,31.0,French,force_india,Indian,2017,1,Australian Grand Prix,18000000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+1 Lap,0.0,7.0,5.0,0.0,86009.0,85568.0,85568.0,28,21,Partly cloudy24 °C (75 °F) air temperature31–36 °C (88–97 °F) track temperature2 m/s (4.5 mph; 7.2 km/h) wind from the northwest[3],0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,85568.0,86009.0,85715.0,20,1,10,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,10,7,6.0,56,,56.0,10.0,88336.0,216.115,perez,11.0,Mexican,force_india,Indian,2017,1,Australian Grand Prix,18000000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+1 Lap,0.0,7.0,5.0,0.0,85064.0,85081.0,85081.0,34,27,Partly cloudy24 °C (75 °F) air temperature31–36 °C (88–97 °F) track temperature2 m/s (4.5 mph; 7.2 km/h) wind from the northwest[3],0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,85064.0,85081.0,85075.33333333333,21,6,117,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,115.0,80.0,78.0,82.0,78.0 +7.0,4,4,12.0,57,5074065.0,56.0,1.0,86538.0,220.605,raikkonen,7.0,Finnish,ferrari,Italian,2017,1,Australian Grand Prix,18000000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,37.0,1.0,1.0,84352.0,83376.0,83033.0,45,38,Partly cloudy24 °C (75 °F) air temperature31–36 °C (88–97 °F) track temperature2 m/s (4.5 mph; 7.2 km/h) wind from the northwest[3],0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,83033.0,84352.0,83587.0,27,11,167,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,165.0,89.0,83.0,87.0,85.0 +55.0,8,8,4.0,56,,53.0,8.0,87677.0,217.74,sainz,55.0,Spanish,toro_rosso,Italian,2017,1,Australian Grand Prix,18000000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+1 Lap,0.0,6.0,6.0,0.0,85542.0,84997.0,84487.0,30,23,Partly cloudy24 °C (75 °F) air temperature31–36 °C (88–97 °F) track temperature2 m/s (4.5 mph; 7.2 km/h) wind from the northwest[3],0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,84487.0,85542.0,85008.66666666667,21,2,41,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +2.0,18,13,0.0,55,,53.0,15.0,89440.0,213.448,vandoorne,2.0,Belgian,mclaren,British,2017,1,Australian Grand Prix,18000000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+2 Laps,0.0,0.0,9.0,0.0,86858.0,86858.0,86858.0,32,25,Partly cloudy24 °C (75 °F) air temperature31–36 °C (88–97 °F) track temperature2 m/s (4.5 mph; 7.2 km/h) wind from the northwest[3],0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,86858.0,86858.0,86858.0,24,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +5.0,2,1,25.0,57,5051672.0,53.0,3.0,86638.0,220.351,vettel,5.0,German,ferrari,Italian,2017,1,Australian Grand Prix,18000000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,37.0,1.0,1.0,85210.0,83401.0,82456.0,37,30,Partly cloudy24 °C (75 °F) air temperature31–36 °C (88–97 °F) track temperature2 m/s (4.5 mph; 7.2 km/h) wind from the northwest[3],0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,82456.0,85210.0,83689.0,20,10,180,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,176.0,88.0,87.0,89.0,87.0 +77.0,3,6,8.0,56,5904966.0,41.0,3.0,95849.0,204.734,bottas,77.0,Finnish,mercedes,German,2017,2,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,66.0,1.0,1.0,93684.0,92552.0,91865.0,35,28,"Light rain at start, drying later.",0,0,1,1,0,Race circuit,Clockwise,5.451,56.0,305.066,91865.0,93684.0,92700.33333333331,24,4,80,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,77.0,76.0,76.0,70.0,71.0 +9.0,14,15,0.0,55,,50.0,16.0,99732.0,196.763,ericsson,9.0,Swedish,sauber,Swiss,2017,2,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+1 Lap,0.0,0.0,9.0,0.0,94892.0,95046.0,95046.0,34,27,"Light rain at start, drying later.",0,0,1,1,0,Race circuit,Clockwise,5.451,56.0,305.066,94892.0,95046.0,94994.66666666669,24,3,58,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,72.0,76.0,76.0,76.0,74.0 +8.0,19,11,0.0,55,,50.0,12.0,97551.0,201.162,grosjean,8.0,French,haas,American,2017,2,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+1 Lap,0.0,4.0,7.0,0.0,95223.0,95223.0,95223.0,38,31,"Light rain at start, drying later.",0,0,1,1,0,Race circuit,Clockwise,5.451,56.0,305.066,95223.0,95223.0,95223.0,23,8,106,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,107.0,80.0,80.0,79.0,78.0 +44.0,1,1,25.0,56,5856158.0,44.0,1.0,95378.0,205.745,hamilton,44.0,British,mercedes,German,2017,2,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,66.0,1.0,1.0,93333.0,92406.0,91678.0,39,32,"Light rain at start, drying later.",0,0,1,1,0,Race circuit,Clockwise,5.451,56.0,305.066,91678.0,93333.0,92472.33333333331,22,10,190,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,191.0,86.0,84.0,88.0,86.0 +27.0,7,12,0.0,55,,36.0,13.0,98015.0,200.21,hulkenberg,27.0,German,renault,French,2017,2,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+1 Lap,0.0,0.0,8.0,0.0,94453.0,93636.0,93580.0,37,30,"Light rain at start, drying later.",0,0,1,1,0,Race circuit,Clockwise,5.451,56.0,305.066,93580.0,94453.0,93889.66666666669,23,7,119,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,115.0,80.0,78.0,82.0,78.0 +30.0,20,13,0.0,55,,47.0,14.0,98181.0,199.871,jolyon_palmer,30.0,British,renault,French,2017,2,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+1 Lap,0.0,0.0,8.0,0.0,95279.0,95279.0,95279.0,33,26,"Light rain at start, drying later.",0,0,1,1,0,Race circuit,Clockwise,5.451,56.0,305.066,95279.0,95279.0,95279.0,25,1,23,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +20.0,12,8,4.0,55,,35.0,11.0,97528.0,201.209,kevin_magnussen,20.0,Danish,haas,American,2017,2,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+1 Lap,0.0,4.0,7.0,0.0,94942.0,94164.0,94164.0,32,25,"Light rain at start, drying later.",0,0,1,1,0,Race circuit,Clockwise,5.451,56.0,305.066,94164.0,94942.0,94423.33333333331,22,3,43,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +19.0,6,14,0.0,55,,50.0,5.0,96511.0,203.33,massa,19.0,Brazilian,williams,British,2017,2,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+1 Lap,0.0,8.0,6.0,0.0,94205.0,93759.0,93507.0,43,36,"Light rain at start, drying later.",0,0,1,1,0,Race circuit,Clockwise,5.451,56.0,305.066,93507.0,94205.0,93823.66666666669,25,11,201,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,203.0,84.0,82.0,87.0,85.0 +33.0,16,3,15.0,56,5901350.0,31.0,7.0,96722.0,202.886,max_verstappen,33.0,Dutch,red_bull,Austrian,2017,2,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,37.0,3.0,0.0,95433.0,95433.0,95433.0,27,20,"Light rain at start, drying later.",0,0,1,1,0,Race circuit,Clockwise,5.451,56.0,305.066,95433.0,95433.0,95433.0,18,2,42,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +31.0,17,10,1.0,55,,55.0,9.0,97036.0,202.23,ocon,31.0,French,force_india,Indian,2017,2,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+1 Lap,0.0,10.0,5.0,0.0,95496.0,95496.0,95496.0,28,21,"Light rain at start, drying later.",0,0,1,1,0,Race circuit,Clockwise,5.451,56.0,305.066,95496.0,95496.0,95496.0,20,1,11,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,8,9,2.0,55,,55.0,6.0,96531.0,203.288,perez,11.0,Mexican,force_india,Indian,2017,2,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+1 Lap,0.0,10.0,5.0,0.0,94657.0,93920.0,93706.0,34,27,"Light rain at start, drying later.",0,0,1,1,0,Race circuit,Clockwise,5.451,56.0,305.066,93706.0,94657.0,94094.33333333331,21,6,118,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,115.0,80.0,78.0,82.0,78.0 +7.0,4,5,10.0,56,5904234.0,42.0,4.0,96003.0,204.406,raikkonen,7.0,Finnish,ferrari,Italian,2017,2,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,65.0,2.0,1.0,93341.0,92181.0,92140.0,45,38,"Light rain at start, drying later.",0,0,1,1,0,Race circuit,Clockwise,5.451,56.0,305.066,92140.0,93341.0,92554.0,27,11,168,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,165.0,89.0,83.0,87.0,85.0 +3.0,5,4,12.0,56,5902193.0,36.0,8.0,96791.0,202.741,ricciardo,3.0,Australian,red_bull,Austrian,2017,2,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,37.0,3.0,0.0,94041.0,93546.0,93033.0,35,28,"Light rain at start, drying later.",0,0,1,1,0,Race circuit,Clockwise,5.451,56.0,305.066,93033.0,94041.0,93540.0,22,6,111,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,112.0,80.0,79.0,81.0,78.0 +55.0,11,7,6.0,56,5929051.0,30.0,10.0,97398.0,201.478,sainz,55.0,Spanish,toro_rosso,Italian,2017,2,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,12.0,4.0,0.0,94567.0,94150.0,94150.0,30,23,"Light rain at start, drying later.",0,0,1,1,0,Race circuit,Clockwise,5.451,56.0,305.066,94150.0,94567.0,94289.0,21,2,42,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +5.0,2,2,18.0,56,5862408.0,40.0,2.0,95423.0,205.648,vettel,5.0,German,ferrari,Italian,2017,2,Chinese Grand Prix,21600000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,1.0,65.0,2.0,1.0,93078.0,92391.0,91864.0,37,30,"Light rain at start, drying later.",0,0,1,1,0,Race circuit,Clockwise,5.451,56.0,305.066,91864.0,93078.0,92444.33333333331,20,10,181,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,179.0,87.0,90.0,88.0,87.0 +77.0,1,3,15.0,57,5653771.0,33.0,5.0,94087.0,207.076,bottas,77.0,Finnish,mercedes,German,2017,3,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,99.0,2.0,1.0,91041.0,89555.0,88769.0,35,28,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,88769.0,91041.0,89788.33333333333,24,4,81,1,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,77.0,76.0,76.0,70.0,71.0 +8.0,9,8,4.0,57,5708239.0,33.0,8.0,94948.0,205.198,grosjean,8.0,French,haas,American,2017,3,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,8.0,7.0,0.0,91691.0,90857.0,90763.0,38,31,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,90763.0,91691.0,91103.66666666669,23,8,107,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,107.0,80.0,80.0,79.0,78.0 +44.0,2,2,18.0,57,5640034.0,46.0,1.0,92798.0,209.952,hamilton,44.0,British,mercedes,German,2017,3,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,1.0,99.0,2.0,1.0,90814.0,89535.0,88792.0,39,32,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,88792.0,90814.0,89713.66666666667,22,10,191,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,191.0,86.0,84.0,88.0,86.0 +27.0,7,9,2.0,57,5713562.0,40.0,12.0,95372.0,204.286,hulkenberg,27.0,German,renault,French,2017,3,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,2.0,8.0,0.0,91057.0,90169.0,89842.0,37,30,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,89842.0,91057.0,90356.0,23,7,120,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,115.0,80.0,78.0,82.0,78.0 +30.0,10,13,0.0,56,,43.0,13.0,95552.0,203.901,jolyon_palmer,30.0,British,renault,French,2017,3,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,2.0,8.0,0.0,91458.0,90899.0,91074.0,33,26,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,90899.0,91458.0,91143.66666666669,25,1,24,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +26.0,11,12,0.0,56,,45.0,9.0,94985.0,205.118,kvyat,26.0,Russian,toro_rosso,Italian,2017,3,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,12.0,6.0,0.0,91531.0,90923.0,90923.0,30,23,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,90923.0,91531.0,91125.66666666669,20,3,62,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +19.0,8,6,8.0,57,5687700.0,39.0,6.0,94256.0,206.705,massa,19.0,Brazilian,williams,British,2017,3,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,16.0,5.0,0.0,91373.0,90677.0,90074.0,43,36,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,90074.0,91373.0,90708.0,25,11,202,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,203.0,84.0,82.0,87.0,85.0 +31.0,14,10,1.0,57,5729085.0,39.0,11.0,95179.0,204.7,ocon,31.0,French,force_india,Indian,2017,3,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,17.0,4.0,0.0,91774.0,91684.0,91684.0,28,21,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,91684.0,91774.0,91714.0,20,1,12,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,18,7,6.0,57,5695980.0,39.0,7.0,94609.0,205.933,perez,11.0,Mexican,force_india,Indian,2017,3,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,17.0,4.0,0.0,92318.0,92318.0,92318.0,34,27,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,92318.0,92318.0,92318.0,21,6,119,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,115.0,80.0,78.0,82.0,78.0 +7.0,5,4,12.0,57,5655849.0,55.0,3.0,93720.0,207.887,raikkonen,7.0,Finnish,ferrari,Italian,2017,3,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,102.0,1.0,2.0,90988.0,89843.0,89567.0,45,38,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,89567.0,90988.0,90132.66666666669,27,11,169,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,176.0,88.0,87.0,89.0,87.0 +3.0,4,5,10.0,57,5672720.0,42.0,2.0,93495.0,208.387,ricciardo,3.0,Australian,red_bull,Austrian,2017,3,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,47.0,3.0,0.0,91667.0,90497.0,89545.0,35,28,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,89545.0,91667.0,90569.66666666669,22,6,112,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,112.0,80.0,79.0,81.0,78.0 +5.0,3,1,25.0,57,5633374.0,36.0,4.0,93826.0,207.652,vettel,5.0,German,ferrari,Italian,2017,3,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,1.0,102.0,1.0,2.0,91037.0,89596.0,89247.0,37,30,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,89247.0,91037.0,89960.0,20,10,182,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,179.0,87.0,90.0,88.0,87.0 +94.0,13,11,0.0,56,,43.0,17.0,96786.0,201.301,wehrlein,94.0,German,sauber,Swiss,2017,3,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,0.0,9.0,0.0,91995.0,91414.0,91414.0,30,23,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,91414.0,91995.0,91607.66666666669,22,1,22,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +77.0,3,1,25.0,52,5288743.0,49.0,3.0,97367.0,216.221,bottas,77.0,Finnish,mercedes,German,2017,4,Russian Grand Prix,43200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,0.0,136.0,1.0,2.0,94041.0,93264.0,93289.0,35,28,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.848,53.0,309.745,93264.0,94041.0,93531.33333333331,24,4,82,2,0,2,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,77.0,76.0,76.0,70.0,71.0 +9.0,18,15,0.0,51,,48.0,15.0,99835.0,210.875,ericsson,9.0,Swedish,sauber,Swiss,2017,4,Russian Grand Prix,43200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,+1 Lap,0.0,0.0,9.0,0.0,97507.0,97507.0,97507.0,34,27,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.848,53.0,309.745,97507.0,97507.0,97507.0,24,3,60,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,1,72.0,76.0,76.0,76.0,74.0 +44.0,4,4,12.0,52,5325063.0,18.0,6.0,98398.0,213.955,hamilton,44.0,British,mercedes,German,2017,4,Russian Grand Prix,43200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,1.0,136.0,1.0,2.0,94409.0,93760.0,93767.0,39,32,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.848,53.0,309.745,93760.0,94409.0,93978.66666666669,22,10,192,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,191.0,86.0,84.0,88.0,86.0 +27.0,8,8,4.0,52,5384931.0,52.0,7.0,98418.0,213.912,hulkenberg,27.0,German,renault,French,2017,4,Russian Grand Prix,43200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,0.0,6.0,8.0,0.0,95507.0,95328.0,95285.0,37,30,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.848,53.0,309.745,95285.0,95507.0,95373.33333333331,23,7,121,0,0,0,0,0,0,0,0,1,0,1,1,0,0,0,0,0,0,123.0,88.0,82.0,85.0,83.0 +20.0,13,13,0.0,51,,40.0,13.0,99566.0,211.445,kevin_magnussen,20.0,Danish,haas,American,2017,4,Russian Grand Prix,43200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,+1 Lap,0.0,8.0,7.0,0.0,96408.0,96017.0,96017.0,32,25,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.848,53.0,309.745,96017.0,96408.0,96147.33333333331,22,3,45,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +26.0,12,12,0.0,51,,50.0,5.0,98300.0,214.168,kvyat,26.0,Russian,toro_rosso,Italian,2017,4,Russian Grand Prix,43200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,+1 Lap,0.0,13.0,6.0,0.0,95984.0,95968.0,95968.0,30,23,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.848,53.0,309.745,95968.0,95984.0,95973.33333333331,20,3,63,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +19.0,6,9,2.0,51,,45.0,4.0,98232.0,214.317,massa,19.0,Brazilian,williams,British,2017,4,Russian Grand Prix,43200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,+1 Lap,0.0,18.0,5.0,0.0,95828.0,95049.0,95110.0,43,36,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.848,53.0,309.745,95049.0,95828.0,95329.0,25,11,203,0,0,0,0,0,2,0,0,0,0,0,0,0,1,0,0,0,0,207.0,83.0,82.0,86.0,84.0 +33.0,7,5,10.0,52,5349159.0,47.0,8.0,98429.0,213.888,max_verstappen,33.0,Dutch,red_bull,Austrian,2017,4,Russian Grand Prix,43200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,0.0,57.0,3.0,0.0,95301.0,95221.0,95161.0,27,20,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.848,53.0,309.745,95161.0,95301.0,95227.66666666669,18,2,44,1,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,72.0,76.0,76.0,76.0,74.0 +31.0,10,7,6.0,52,5383747.0,50.0,10.0,98745.0,213.203,ocon,31.0,French,force_india,Indian,2017,4,Russian Grand Prix,43200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,0.0,31.0,4.0,0.0,95372.0,95729.0,95430.0,28,21,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.848,53.0,309.745,95372.0,95729.0,95510.33333333331,20,1,13,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,9,6,8.0,52,5375531.0,51.0,9.0,98661.0,213.385,perez,11.0,Mexican,force_india,Indian,2017,4,Russian Grand Prix,43200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,0.0,31.0,4.0,0.0,96185.0,95513.0,95337.0,34,27,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.848,53.0,309.745,95337.0,96185.0,95678.33333333331,21,6,120,0,0,0,0,0,0,2,0,1,0,0,0,0,0,0,0,0,0,115.0,80.0,78.0,82.0,78.0 +7.0,2,3,15.0,52,5299743.0,49.0,1.0,96844.0,217.388,raikkonen,7.0,Finnish,ferrari,Italian,2017,4,Russian Grand Prix,43200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,0.0,135.0,2.0,2.0,94953.0,93663.0,93253.0,45,38,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.848,53.0,309.745,93253.0,94953.0,93956.33333333331,27,11,170,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,176.0,88.0,87.0,89.0,87.0 +55.0,14,10,1.0,51,,51.0,11.0,98858.0,212.96,sainz,55.0,Spanish,toro_rosso,Italian,2017,4,Russian Grand Prix,43200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,+1 Lap,0.0,13.0,6.0,0.0,95827.0,95948.0,95948.0,30,23,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.848,53.0,309.745,95827.0,95948.0,95907.66666666669,21,2,44,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +18.0,11,11,0.0,51,,50.0,12.0,98870.0,212.934,stroll,18.0,Canadian,williams,British,2017,4,Russian Grand Prix,43200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,+1 Lap,0.0,18.0,5.0,0.0,96279.0,95964.0,95964.0,26,19,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.848,53.0,309.745,95964.0,96279.0,96069.0,19,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,58.0,72.0,78.0,73.0,72.0 +2.0,20,14,0.0,51,,47.0,14.0,99790.0,210.971,vandoorne,2.0,Belgian,mclaren,British,2017,4,Russian Grand Prix,43200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,+1 Lap,0.0,0.0,10.0,0.0,97070.0,97070.0,97070.0,32,25,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.848,53.0,309.745,97070.0,97070.0,97070.0,24,1,5,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +5.0,1,2,18.0,52,5289360.0,49.0,2.0,97312.0,216.343,vettel,5.0,German,ferrari,Italian,2017,4,Russian Grand Prix,43200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,2.0,135.0,2.0,2.0,94493.0,94038.0,93194.0,37,30,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.848,53.0,309.745,93194.0,94493.0,93908.33333333331,20,10,183,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,183.0,90.0,89.0,91.0,90.0 +94.0,17,16,0.0,50,,37.0,16.0,100922.0,208.604,wehrlein,94.0,German,sauber,Swiss,2017,4,Russian Grand Prix,43200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,+2 Laps,0.0,0.0,9.0,0.0,97332.0,97332.0,97332.0,30,23,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.848,53.0,309.745,97332.0,97332.0,97332.0,22,1,23,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +14.0,7,12,0.0,64,,64.0,4.0,83894.0,199.752,alonso,14.0,Spanish,mclaren,British,2017,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+2 Laps,0.0,0.0,10.0,0.0,82015.0,81251.0,81048.0,43,36,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,81048.0,82015.0,81438.0,25,11,209,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,1,0,0,209.0,86.0,83.0,89.0,86.0 +9.0,16,11,0.0,64,,60.0,10.0,86213.0,194.379,ericsson,9.0,Swedish,sauber,Swiss,2017,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+2 Laps,0.0,4.0,9.0,0.0,82332.0,82332.0,82332.0,34,27,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,82332.0,82332.0,82332.0,24,3,61,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,1,72.0,76.0,76.0,76.0,74.0 +8.0,14,10,1.0,65,,50.0,17.0,86871.0,192.906,grosjean,8.0,French,haas,American,2017,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,9.0,8.0,0.0,81822.0,81517.0,81517.0,38,31,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,81517.0,81822.0,81618.66666666667,23,8,109,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,110.0,79.0,79.0,79.0,77.0 +44.0,1,1,25.0,66,5756497.0,64.0,1.0,83593.0,200.471,hamilton,44.0,British,mercedes,German,2017,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,1.0,161.0,1.0,3.0,80511.0,80210.0,79149.0,39,32,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,79149.0,80511.0,79956.66666666667,22,10,193,3,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,197.0,86.0,85.0,88.0,86.0 +27.0,13,6,8.0,65,,56.0,15.0,86703.0,193.28,hulkenberg,27.0,German,renault,French,2017,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,14.0,7.0,0.0,82091.0,81397.0,81397.0,37,30,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,81397.0,82091.0,81628.33333333333,23,7,122,0,0,0,0,0,0,0,1,1,0,1,1,0,0,0,0,0,0,123.0,88.0,82.0,85.0,83.0 +30.0,17,15,0.0,64,,44.0,6.0,84843.0,197.517,jolyon_palmer,30.0,British,renault,French,2017,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+2 Laps,0.0,14.0,7.0,0.0,82401.0,82401.0,82401.0,33,26,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,82401.0,82401.0,82401.0,25,1,26,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +20.0,11,14,0.0,64,,15.0,12.0,86371.0,194.023,kevin_magnussen,20.0,Danish,haas,American,2017,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+2 Laps,0.0,9.0,8.0,0.0,81945.0,81329.0,81329.0,32,25,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,81329.0,81945.0,81534.33333333333,22,3,46,0,0,0,0,0,0,0,1,0,0,0,0,1,0,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +26.0,19,9,2.0,65,,37.0,8.0,85976.0,194.914,kvyat,26.0,Russian,toro_rosso,Italian,2017,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,21.0,5.0,0.0,82746.0,82746.0,82746.0,30,23,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,82746.0,82746.0,82746.0,20,3,64,0,0,0,0,0,0,0,0,1,0,0,2,0,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +19.0,9,13,0.0,64,,64.0,13.0,86472.0,193.796,massa,19.0,Brazilian,williams,British,2017,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+2 Laps,0.0,18.0,6.0,0.0,82138.0,81222.0,81232.0,43,36,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,81222.0,82138.0,81530.66666666667,25,11,204,0,0,0,0,0,2,0,0,1,0,0,0,0,1,0,0,0,0,207.0,83.0,82.0,86.0,84.0 +31.0,10,5,10.0,65,,40.0,11.0,86276.0,194.237,ocon,31.0,French,force_india,Indian,2017,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,53.0,4.0,0.0,81901.0,81148.0,81272.0,28,21,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,81148.0,81901.0,81440.33333333333,20,1,14,0,0,0,0,0,0,1,0,0,3,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,8,4,12.0,65,,51.0,7.0,85755.0,195.417,perez,11.0,Mexican,force_india,Indian,2017,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,53.0,4.0,0.0,81998.0,81239.0,81070.0,34,27,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,81070.0,81998.0,81435.66666666667,21,6,121,0,0,0,0,0,1,2,0,1,0,0,0,0,0,0,0,0,0,123.0,88.0,82.0,85.0,83.0 +3.0,6,3,15.0,66,5832317.0,40.0,3.0,83686.0,200.248,ricciardo,3.0,Australian,red_bull,Austrian,2017,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,72.0,3.0,0.0,81704.0,80855.0,80175.0,35,28,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,80175.0,81704.0,80911.33333333333,22,6,114,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,2,0,115.0,80.0,78.0,82.0,78.0 +55.0,12,7,6.0,65,,61.0,9.0,86186.0,194.439,sainz,55.0,Spanish,toro_rosso,Italian,2017,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,21.0,5.0,0.0,81941.0,81371.0,81371.0,30,23,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,81371.0,81941.0,81561.0,21,2,45,0,0,0,0,0,0,1,1,0,1,0,0,0,0,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +18.0,18,16,0.0,64,,50.0,16.0,86838.0,192.98,stroll,18.0,Canadian,williams,British,2017,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+2 Laps,0.0,18.0,6.0,0.0,82411.0,82411.0,82411.0,26,19,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,82411.0,82411.0,82411.0,19,0,5,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,1,0,58.0,72.0,78.0,73.0,72.0 +5.0,2,2,18.0,66,5759987.0,43.0,2.0,83674.0,200.277,vettel,5.0,German,ferrari,Italian,2017,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,2.0,153.0,2.0,2.0,80939.0,80295.0,79200.0,37,30,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,79200.0,80939.0,80144.66666666667,20,10,184,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,183.0,90.0,89.0,91.0,90.0 +94.0,15,8,4.0,65,,58.0,14.0,86476.0,193.787,wehrlein,94.0,German,sauber,Swiss,2017,5,Spanish Grand Prix,43200000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,4.0,9.0,0.0,82327.0,81803.0,81803.0,30,23,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,81803.0,82327.0,81977.66666666667,22,1,24,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +77.0,3,4,12.0,78,6289857.0,22.0,9.0,76439.0,157.16,bottas,77.0,Finnish,mercedes,German,2017,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,1.0,179.0,2.0,3.0,73325.0,72901.0,72223.0,35,28,Sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,72223.0,73325.0,72816.33333333333,24,4,84,3,0,2,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,77.0,76.0,76.0,70.0,71.0 +8.0,8,8,4.0,78,6302490.0,45.0,18.0,77095.0,155.823,grosjean,8.0,French,haas,American,2017,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,14.0,8.0,0.0,73786.0,73203.0,73349.0,38,31,Sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,73203.0,73786.0,73446.0,23,8,110,0,0,0,0,0,0,0,1,0,1,1,0,0,0,0,0,0,0,110.0,79.0,79.0,79.0,77.0 +44.0,13,7,6.0,78,6300141.0,54.0,5.0,75825.0,158.433,hamilton,44.0,British,mercedes,German,2017,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,2.0,179.0,2.0,3.0,73640.0,74106.0,74106.0,39,32,Sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,73640.0,74106.0,73950.66666666667,22,10,194,4,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,197.0,86.0,85.0,88.0,86.0 +30.0,16,11,0.0,78,6307077.0,55.0,13.0,76614.0,156.801,jolyon_palmer,30.0,British,renault,French,2017,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,14.0,7.0,0.0,74696.0,74696.0,74696.0,33,26,Sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,74696.0,74696.0,74696.0,25,1,27,0,0,0,0,0,0,0,0,0,0,0,0,2,0,1,0,0,1,58.0,72.0,78.0,73.0,72.0 +20.0,11,10,1.0,78,6305783.0,44.0,7.0,76313.0,157.42,kevin_magnussen,20.0,Danish,haas,American,2017,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,14.0,8.0,0.0,73531.0,73959.0,73959.0,32,25,Sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,73531.0,73959.0,73816.33333333333,22,3,47,0,0,0,0,0,0,0,1,0,0,0,0,1,1,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +19.0,14,9,2.0,78,6303785.0,50.0,12.0,76543.0,156.947,massa,19.0,Brazilian,williams,British,2017,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,20.0,6.0,0.0,73796.0,80529.0,80529.0,43,36,Sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,73796.0,80529.0,78284.66666666667,25,11,205,0,0,0,0,0,2,0,0,1,0,0,0,1,1,0,0,0,0,207.0,83.0,82.0,86.0,84.0 +33.0,4,5,10.0,78,6290539.0,56.0,8.0,76329.0,157.387,max_verstappen,33.0,Dutch,red_bull,Austrian,2017,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,97.0,3.0,0.0,73078.0,72697.0,72496.0,27,20,Sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,72496.0,73078.0,72757.0,18,2,46,1,0,1,0,2,0,0,0,0,0,0,0,0,0,0,0,0,1,72.0,76.0,76.0,76.0,74.0 +31.0,15,12,0.0,78,6308065.0,52.0,10.0,76482.0,157.072,ocon,31.0,French,force_india,Indian,2017,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,53.0,4.0,0.0,74101.0,74101.0,74101.0,28,21,Sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,74101.0,74101.0,74101.0,20,1,15,0,0,0,0,1,0,1,0,0,3,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,7,13,0.0,78,6323429.0,76.0,1.0,74820.0,160.561,perez,11.0,Mexican,force_india,Indian,2017,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,53.0,4.0,0.0,73530.0,73430.0,73329.0,34,27,Sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,73329.0,73530.0,73429.66666666667,21,6,122,0,0,0,1,0,1,2,0,1,0,0,0,0,0,0,0,0,0,123.0,88.0,82.0,85.0,83.0 +7.0,1,2,18.0,78,6287485.0,39.0,3.0,75527.0,159.058,raikkonen,7.0,Finnish,ferrari,Italian,2017,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,196.0,1.0,3.0,73117.0,72231.0,72178.0,45,38,Sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,72178.0,73117.0,72508.66666666667,27,11,172,1,0,1,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,176.0,88.0,87.0,89.0,87.0 +3.0,5,3,15.0,78,6288085.0,51.0,4.0,75756.0,158.577,ricciardo,3.0,Australian,red_bull,Austrian,2017,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,97.0,3.0,0.0,73219.0,73011.0,72998.0,35,28,Sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,72998.0,73219.0,73076.0,22,6,115,1,0,1,1,1,0,0,0,0,0,0,0,0,0,0,0,2,0,115.0,80.0,78.0,82.0,78.0 +55.0,6,6,8.0,78,6296378.0,39.0,14.0,76649.0,156.73,sainz,55.0,Spanish,toro_rosso,Italian,2017,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,29.0,5.0,0.0,73526.0,73397.0,73162.0,30,23,Sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,73162.0,73526.0,73361.66666666667,21,2,46,0,0,0,0,0,0,2,1,0,1,0,0,0,0,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +5.0,2,1,25.0,78,6284340.0,38.0,2.0,75238.0,159.669,vettel,5.0,German,ferrari,Italian,2017,6,Monaco Grand Prix,43200000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,2.0,196.0,1.0,3.0,73090.0,72449.0,72221.0,37,30,Sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,72221.0,73090.0,72586.66666666667,20,10,185,5,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,183.0,90.0,89.0,91.0,90.0 +77.0,3,2,18.0,70,5604937.0,65.0,5.0,75894.0,206.862,bottas,77.0,Finnish,mercedes,German,2017,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,1.0,222.0,1.0,4.0,72685.0,72563.0,72177.0,35,28,Sunny and hot with temperatures reaching up to 29 °C (84 °F); wind speeds reaching 12.9 kilometres per hour (8.0 mph)[4],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,72177.0,72685.0,72475.0,24,4,85,3,0,2,1,0,1,0,0,0,0,0,0,0,0,0,0,1,0,77.0,76.0,76.0,70.0,71.0 +9.0,19,13,0.0,69,,50.0,16.0,76995.0,203.904,ericsson,9.0,Swedish,sauber,Swiss,2017,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,4.0,9.0,0.0,74495.0,74495.0,74495.0,34,27,Sunny and hot with temperatures reaching up to 29 °C (84 °F); wind speeds reaching 12.9 kilometres per hour (8.0 mph)[4],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,74495.0,74495.0,74495.0,24,3,63,0,0,0,0,0,0,0,0,0,0,1,0,0,0,3,0,1,1,72.0,76.0,76.0,76.0,74.0 +8.0,14,10,1.0,69,,58.0,15.0,76949.0,204.026,grosjean,8.0,French,haas,American,2017,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,15.0,8.0,0.0,73780.0,73839.0,73839.0,38,31,Sunny and hot with temperatures reaching up to 29 °C (84 °F); wind speeds reaching 12.9 kilometres per hour (8.0 mph)[4],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,73780.0,73839.0,73819.33333333333,23,8,111,0,0,0,0,0,0,0,2,0,1,1,0,0,0,0,0,0,0,112.0,80.0,79.0,81.0,78.0 +44.0,1,1,25.0,70,5585154.0,64.0,1.0,74551.0,210.588,hamilton,44.0,British,mercedes,German,2017,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,2.0,222.0,1.0,4.0,72692.0,72496.0,71459.0,39,32,Sunny and hot with temperatures reaching up to 29 °C (84 °F); wind speeds reaching 12.9 kilometres per hour (8.0 mph)[4],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,71459.0,72692.0,72215.66666666667,22,10,195,4,2,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,197.0,86.0,85.0,88.0,86.0 +27.0,10,8,4.0,70,5645528.0,64.0,7.0,76136.0,206.204,hulkenberg,27.0,German,renault,French,2017,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,18.0,7.0,0.0,73804.0,73406.0,73271.0,37,30,Sunny and hot with temperatures reaching up to 29 °C (84 °F); wind speeds reaching 12.9 kilometres per hour (8.0 mph)[4],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,73271.0,73804.0,73493.66666666667,23,7,124,0,0,0,0,0,1,0,1,1,0,1,1,0,0,0,0,0,0,123.0,88.0,82.0,85.0,83.0 +30.0,15,11,0.0,69,,64.0,12.0,76704.0,204.677,jolyon_palmer,30.0,British,renault,French,2017,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,18.0,7.0,0.0,73990.0,74293.0,74293.0,33,26,Sunny and hot with temperatures reaching up to 29 °C (84 °F); wind speeds reaching 12.9 kilometres per hour (8.0 mph)[4],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,73990.0,74293.0,74192.0,25,1,28,0,0,0,0,0,0,0,0,0,0,1,0,2,0,1,0,0,1,58.0,72.0,78.0,73.0,72.0 +20.0,18,12,0.0,69,,65.0,10.0,76341.0,205.65,kevin_magnussen,20.0,Danish,haas,American,2017,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,15.0,8.0,0.0,74318.0,74318.0,74318.0,32,25,Sunny and hot with temperatures reaching up to 29 °C (84 °F); wind speeds reaching 12.9 kilometres per hour (8.0 mph)[4],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,74318.0,74318.0,74318.0,22,3,48,0,0,0,0,0,0,0,1,0,1,0,0,1,1,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +31.0,9,6,8.0,70,5625870.0,68.0,9.0,76247.0,205.904,ocon,31.0,French,force_india,Indian,2017,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,71.0,4.0,0.0,73520.0,73320.0,73135.0,28,21,Sunny and hot with temperatures reaching up to 29 °C (84 °F); wind speeds reaching 12.9 kilometres per hour (8.0 mph)[4],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,73135.0,73520.0,73325.0,20,1,16,0,0,0,0,1,0,1,0,0,3,0,1,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,8,5,10.0,70,5625630.0,62.0,11.0,76367.0,205.58,perez,11.0,Mexican,force_india,Indian,2017,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,71.0,4.0,0.0,73470.0,73262.0,73018.0,34,27,Sunny and hot with temperatures reaching up to 29 °C (84 °F); wind speeds reaching 12.9 kilometres per hour (8.0 mph)[4],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,73018.0,73470.0,73250.0,21,6,123,0,0,0,1,0,1,2,0,1,0,0,0,1,0,0,0,0,0,123.0,88.0,82.0,85.0,83.0 +7.0,4,7,6.0,70,5643786.0,59.0,3.0,75388.0,208.25,raikkonen,7.0,Finnish,ferrari,Italian,2017,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,214.0,2.0,3.0,73548.0,72580.0,72252.0,45,38,Sunny and hot with temperatures reaching up to 29 °C (84 °F); wind speeds reaching 12.9 kilometres per hour (8.0 mph)[4],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,72252.0,73548.0,72793.33333333333,27,11,173,2,1,1,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,176.0,88.0,87.0,89.0,87.0 +3.0,6,3,15.0,70,5620451.0,67.0,8.0,76165.0,206.126,ricciardo,3.0,Australian,red_bull,Austrian,2017,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,112.0,3.0,0.0,73543.0,72810.0,72557.0,35,28,Sunny and hot with temperatures reaching up to 29 °C (84 °F); wind speeds reaching 12.9 kilometres per hour (8.0 mph)[4],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,72557.0,73543.0,72970.0,22,6,116,2,0,2,1,1,0,0,0,0,0,0,0,0,0,0,0,2,0,115.0,80.0,78.0,82.0,78.0 +18.0,17,9,2.0,69,,64.0,6.0,75979.0,206.63,stroll,18.0,Canadian,williams,British,2017,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,22.0,6.0,0.0,74209.0,74209.0,74209.0,26,19,Sunny and hot with temperatures reaching up to 29 °C (84 °F); wind speeds reaching 12.9 kilometres per hour (8.0 mph)[4],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,74209.0,74209.0,74209.0,19,0,7,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,2,1,0,58.0,72.0,78.0,73.0,72.0 +2.0,16,14,0.0,69,,69.0,14.0,76774.0,204.491,vandoorne,2.0,Belgian,mclaren,British,2017,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,0.0,10.0,0.0,74182.0,74182.0,74182.0,32,25,Sunny and hot with temperatures reaching up to 29 °C (84 °F); wind speeds reaching 12.9 kilometres per hour (8.0 mph)[4],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,74182.0,74182.0,74182.0,24,1,8,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,1,0,2,58.0,72.0,78.0,73.0,72.0 +5.0,2,4,12.0,70,5621061.0,70.0,2.0,74719.0,210.115,vettel,5.0,German,ferrari,Italian,2017,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,3.0,214.0,2.0,3.0,73046.0,72749.0,71789.0,37,30,Sunny and hot with temperatures reaching up to 29 °C (84 °F); wind speeds reaching 12.9 kilometres per hour (8.0 mph)[4],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,71789.0,73046.0,72528.0,20,10,186,6,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,186.0,90.0,88.0,92.0,90.0 +94.0,20,15,0.0,68,,66.0,17.0,77091.0,203.65,wehrlein,94.0,German,sauber,Swiss,2017,7,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+2 Laps,0.0,4.0,9.0,0.0,74810.0,74810.0,74810.0,30,23,Sunny and hot with temperatures reaching up to 29 °C (84 °F); wind speeds reaching 12.9 kilometres per hour (8.0 mph)[4],1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,74810.0,74810.0,74810.0,22,1,26,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +14.0,19,9,2.0,51,7495124.0,49.0,6.0,105168.0,205.488,alonso,14.0,Spanish,mclaren,British,2017,8,Azerbaijan Grand Prix,46800000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,2.0,10.0,0.0,104334.0,104334.0,104334.0,43,36,Sunny,1,0,0,0,0,Street circuit,Anti-clockwise,6.003,51.0,306.049,104334.0,104334.0,104334.0,25,11,211,0,0,0,0,0,0,0,0,0,0,0,1,0,2,0,2,0,0,210.0,88.0,85.0,90.0,88.0 +77.0,2,2,18.0,51,7439477.0,51.0,3.0,103925.0,207.946,bottas,77.0,Finnish,mercedes,German,2017,8,Azerbaijan Grand Prix,46800000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,1.0,250.0,1.0,4.0,103026.0,101502.0,101027.0,35,28,Sunny,1,0,0,0,0,Street circuit,Anti-clockwise,6.003,51.0,306.049,101027.0,103026.0,101851.66666666669,24,4,86,4,1,2,1,0,1,0,0,0,0,0,0,0,0,0,0,1,0,91.0,83.0,77.0,75.0,75.0 +9.0,17,11,0.0,51,7527367.0,45.0,16.0,107186.0,201.619,ericsson,9.0,Swedish,sauber,Swiss,2017,8,Azerbaijan Grand Prix,46800000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,5.0,9.0,0.0,104795.0,104795.0,104795.0,34,27,Sunny,1,0,0,0,0,Street circuit,Anti-clockwise,6.003,51.0,306.049,104795.0,104795.0,104795.0,24,3,64,0,0,0,0,0,0,0,0,0,0,1,0,1,0,3,0,1,1,72.0,76.0,76.0,76.0,74.0 +8.0,16,13,0.0,50,,45.0,14.0,106831.0,202.289,grosjean,8.0,French,haas,American,2017,8,Azerbaijan Grand Prix,46800000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,+1 Lap,0.0,21.0,7.0,0.0,104468.0,104468.0,104468.0,38,31,Sunny,1,0,0,0,0,Street circuit,Anti-clockwise,6.003,51.0,306.049,104468.0,104468.0,104468.0,23,8,112,0,0,0,0,0,0,0,2,0,2,1,0,0,0,0,0,0,0,112.0,80.0,79.0,81.0,78.0 +44.0,1,5,10.0,51,7441761.0,46.0,2.0,103469.0,208.862,hamilton,44.0,British,mercedes,German,2017,8,Azerbaijan Grand Prix,46800000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,3.0,250.0,1.0,4.0,101983.0,101275.0,100593.0,39,32,Sunny,1,0,0,0,0,Street circuit,Anti-clockwise,6.003,51.0,306.049,100593.0,101983.0,101283.66666666669,22,10,196,5,2,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,197.0,86.0,85.0,88.0,86.0 +20.0,12,7,6.0,51,7477326.0,45.0,11.0,106312.0,203.277,kevin_magnussen,20.0,Danish,haas,American,2017,8,Azerbaijan Grand Prix,46800000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,21.0,7.0,0.0,104029.0,103796.0,103796.0,32,25,Sunny,1,0,0,0,0,Street circuit,Anti-clockwise,6.003,51.0,306.049,103796.0,104029.0,103873.66666666669,22,3,49,0,0,0,0,0,0,0,1,0,1,0,1,1,1,1,0,0,0,72.0,76.0,76.0,76.0,74.0 +31.0,7,6,8.0,51,7465871.0,39.0,9.0,105634.0,204.581,ocon,31.0,French,force_india,Indian,2017,8,Azerbaijan Grand Prix,46800000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,79.0,4.0,0.0,103051.0,102751.0,102186.0,28,21,Sunny,1,0,0,0,0,Street circuit,Anti-clockwise,6.003,51.0,306.049,102186.0,103051.0,102662.66666666669,20,1,17,0,0,0,0,1,1,1,0,0,3,0,1,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +3.0,10,1,25.0,51,7435573.0,46.0,4.0,104882.0,206.048,ricciardo,3.0,Australian,red_bull,Austrian,2017,8,Azerbaijan Grand Prix,46800000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,137.0,3.0,1.0,102857.0,102215.0,103414.0,35,28,Sunny,1,0,0,0,0,Street circuit,Anti-clockwise,6.003,51.0,306.049,102215.0,103414.0,102828.66666666669,22,6,117,3,0,3,1,1,0,0,0,0,0,0,0,0,0,0,0,2,0,115.0,80.0,78.0,82.0,78.0 +55.0,15,8,4.0,51,7484973.0,46.0,10.0,105866.0,204.133,sainz,55.0,Spanish,toro_rosso,Italian,2017,8,Azerbaijan Grand Prix,46800000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,33.0,6.0,0.0,103489.0,103347.0,103347.0,30,23,Sunny,1,0,0,0,0,Street circuit,Anti-clockwise,6.003,51.0,306.049,103347.0,103489.0,103394.33333333331,21,2,48,0,0,0,0,0,1,2,1,0,1,0,0,0,0,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +18.0,8,3,15.0,51,7439582.0,44.0,5.0,105108.0,205.605,stroll,18.0,Canadian,williams,British,2017,8,Azerbaijan Grand Prix,46800000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,37.0,5.0,0.0,103613.0,102284.0,102753.0,26,19,Sunny,1,0,0,0,0,Street circuit,Anti-clockwise,6.003,51.0,306.049,102284.0,103613.0,102883.33333333331,19,0,8,0,0,0,0,0,0,0,0,1,0,1,0,0,0,1,2,1,0,58.0,72.0,78.0,73.0,72.0 +2.0,18,12,0.0,51,7527733.0,45.0,13.0,106648.0,202.636,vandoorne,2.0,Belgian,mclaren,British,2017,8,Azerbaijan Grand Prix,46800000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,2.0,10.0,0.0,105030.0,105030.0,105030.0,32,25,Sunny,1,0,0,0,0,Street circuit,Anti-clockwise,6.003,51.0,306.049,105030.0,105030.0,105030.0,24,1,9,0,0,0,0,0,0,0,0,0,0,0,0,1,2,0,1,0,2,58.0,72.0,78.0,73.0,72.0 +5.0,4,4,12.0,51,7441549.0,47.0,1.0,103441.0,208.919,vettel,5.0,German,ferrari,Italian,2017,8,Azerbaijan Grand Prix,46800000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,3.0,226.0,2.0,3.0,102952.0,101911.0,101841.0,37,30,Sunny,1,0,0,0,0,Street circuit,Anti-clockwise,6.003,51.0,306.049,101841.0,102952.0,102234.66666666669,20,10,187,6,3,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,186.0,90.0,88.0,92.0,90.0 +94.0,14,10,1.0,51,7524666.0,46.0,15.0,107120.0,201.743,wehrlein,94.0,German,sauber,Swiss,2017,8,Azerbaijan Grand Prix,46800000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,5.0,9.0,0.0,104317.0,104603.0,104603.0,30,23,Sunny,1,0,0,0,0,Street circuit,Anti-clockwise,6.003,51.0,306.049,104317.0,104603.0,104507.66666666669,22,1,27,0,0,0,0,0,0,0,1,0,0,1,0,0,0,1,1,0,0,58.0,72.0,78.0,73.0,72.0 +77.0,1,1,25.0,71,4908523.0,51.0,5.0,67847.0,229.115,bottas,77.0,Finnish,mercedes,German,2017,9,Austrian Grand Prix,43200000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,1.0,287.0,1.0,5.0,65760.0,64316.0,64251.00000000001,35,28,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,64251.00000000001,65760.0,64775.66666666666,24,4,87,5,2,2,1,0,1,0,0,0,0,0,0,0,0,0,0,1,0,91.0,83.0,77.0,75.0,75.0 +9.0,19,15,0.0,69,,56.0,17.0,69284.0,224.363,ericsson,9.0,Swedish,sauber,Swiss,2017,9,Austrian Grand Prix,43200000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+2 Laps,0.0,5.0,9.0,0.0,66857.0,66857.0,66857.0,34,27,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,66857.0,66857.0,66857.0,24,3,65,0,0,0,0,0,0,0,0,0,0,2,0,1,0,3,0,1,1,72.0,76.0,76.0,76.0,74.0 +8.0,6,6,8.0,71,4981683.0,65.0,10.0,68590.0,226.633,grosjean,8.0,French,haas,American,2017,9,Austrian Grand Prix,43200000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,0.0,29.0,7.0,0.0,65902.0,65319.0,65480.00000000001,38,31,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,65319.0,65902.0,65567.0,23,8,113,0,0,0,0,0,0,0,2,0,2,1,0,1,0,0,0,0,0,112.0,80.0,79.0,81.0,78.0 +44.0,8,4,12.0,71,4915953.0,69.0,1.0,67411.0,230.597,hamilton,44.0,British,mercedes,German,2017,9,Austrian Grand Prix,43200000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,3.0,287.0,1.0,5.0,65063.99999999999,64800.0,64424.00000000001,39,32,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,64424.00000000001,65063.99999999999,64762.66666666666,22,10,197,5,2,0,1,1,0,1,0,0,0,0,0,0,0,0,0,0,0,197.0,86.0,85.0,88.0,86.0 +27.0,11,13,0.0,70,,64.0,14.0,69043.0,225.146,hulkenberg,27.0,German,renault,French,2017,9,Austrian Grand Prix,43200000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,18.0,8.0,0.0,66174.0,65597.0,65597.0,37,30,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,65597.0,66174.0,65789.33333333333,23,7,126,0,0,0,0,0,1,0,2,1,0,1,1,0,0,0,0,1,0,130.0,89.0,85.0,82.0,82.0 +30.0,16,11,0.0,70,,64.0,11.0,68652.0,226.428,jolyon_palmer,30.0,British,renault,French,2017,9,Austrian Grand Prix,43200000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,18.0,8.0,0.0,66345.0,66345.0,66345.0,33,26,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,66345.0,66345.0,66345.0,25,1,30,0,0,0,0,0,0,0,0,0,0,2,0,2,0,1,0,0,1,58.0,72.0,78.0,73.0,72.0 +26.0,14,16,0.0,68,,57.0,6.0,68061.0,228.395,kvyat,26.0,Russian,toro_rosso,Italian,2017,9,Austrian Grand Prix,43200000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+3 Laps,0.0,33.0,6.0,0.0,65990.0,65884.0,65884.0,30,23,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,65884.0,65990.0,65919.33333333333,20,3,68,0,0,0,0,0,0,0,0,2,0,0,2,0,1,0,0,2,0,72.0,76.0,76.0,76.0,74.0 +19.0,17,9,2.0,70,,49.0,7.0,68419.0,227.2,massa,19.0,Brazilian,williams,British,2017,9,Austrian Grand Prix,43200000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,40.0,5.0,0.0,66534.0,66534.0,66534.0,43,36,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,66534.0,66534.0,66534.0,25,11,208,0,0,0,0,0,2,0,0,2,0,0,0,1,1,0,1,0,0,209.0,86.0,83.0,89.0,86.0 +31.0,9,8,4.0,70,,68.0,12.0,68659.0,226.405,ocon,31.0,French,force_india,Indian,2017,9,Austrian Grand Prix,43200000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,89.0,4.0,0.0,66033.0,65550.0,65674.0,28,21,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,65550.0,66033.0,65752.33333333333,20,1,18,0,0,0,0,1,2,1,0,0,3,0,1,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,7,7,6.0,70,,58.0,9.0,68470.0,227.03,perez,11.0,Mexican,force_india,Indian,2017,9,Austrian Grand Prix,43200000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,89.0,4.0,0.0,65975.0,65435.0,65605.0,34,27,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,65435.0,65975.0,65671.66666666667,21,6,125,0,0,0,1,1,1,2,0,1,0,0,0,1,0,1,0,0,0,123.0,88.0,82.0,85.0,83.0 +7.0,3,5,10.0,71,4928893.0,68.0,3.0,67486.0,230.341,raikkonen,7.0,Finnish,ferrari,Italian,2017,9,Austrian Grand Prix,43200000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,0.0,254.0,2.0,3.0,65147.99999999999,65004.00000000001,64779.0,45,38,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,64779.0,65147.99999999999,64977.0,27,11,175,2,1,1,2,1,0,1,0,0,0,0,0,0,1,0,0,0,0,176.0,88.0,87.0,89.0,87.0 +3.0,4,3,15.0,71,4914535.0,69.0,2.0,67442.0,230.491,ricciardo,3.0,Australian,red_bull,Austrian,2017,9,Austrian Grand Prix,43200000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,1.0,152.0,3.0,1.0,65854.0,65161.0,64896.0,35,28,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,64896.0,65854.0,65303.66666666666,22,6,118,4,0,3,1,1,0,0,0,0,0,0,0,0,0,0,0,2,0,115.0,80.0,78.0,82.0,78.0 +18.0,18,10,1.0,70,,67.0,13.0,68777.0,226.017,stroll,18.0,Canadian,williams,British,2017,9,Austrian Grand Prix,43200000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,40.0,5.0,0.0,66608.0,66608.0,66608.0,26,19,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,66608.0,66608.0,66608.0,19,0,9,1,0,1,0,0,0,0,0,1,0,1,0,0,0,1,2,1,0,58.0,72.0,78.0,73.0,72.0 +2.0,13,12,0.0,70,,67.0,8.0,68422.0,227.19,vandoorne,2.0,Belgian,mclaren,British,2017,9,Austrian Grand Prix,43200000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,2.0,10.0,0.0,66316.0,65741.0,65741.0,32,25,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,65741.0,66316.0,65932.66666666667,24,1,10,0,0,0,0,0,0,0,0,0,0,0,1,1,2,0,1,0,2,58.0,72.0,78.0,73.0,72.0 +5.0,2,2,18.0,71,4909181.0,69.0,4.0,67496.0,230.306,vettel,5.0,German,ferrari,Italian,2017,9,Austrian Grand Prix,43200000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,3.0,254.0,2.0,3.0,65585.0,64772.00000000001,64293.00000000001,37,30,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,64293.00000000001,65585.0,64883.333333333336,20,10,188,6,3,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,186.0,90.0,88.0,92.0,90.0 +94.0,20,14,0.0,70,,60.0,16.0,69241.0,224.502,wehrlein,94.0,German,sauber,Swiss,2017,9,Austrian Grand Prix,43200000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,5.0,9.0,0.0,67011.0,67011.0,67011.0,30,23,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,67011.0,67011.0,67011.0,22,1,28,0,0,0,0,0,0,0,1,0,1,1,0,0,0,1,1,0,0,58.0,72.0,78.0,73.0,72.0 +77.0,9,2,18.0,51,4901493.0,46.0,3.0,90905.0,233.294,bottas,77.0,Finnish,mercedes,German,2017,10,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,2.0,330.0,1.0,6.0,99698.0,88732.0,87376.0,35,28,Overcast,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,87376.0,99698.0,91935.33333333331,24,4,88,6,2,2,1,0,1,0,0,0,0,0,0,0,0,0,0,1,0,91.0,83.0,77.0,75.0,75.0 +9.0,18,14,0.0,50,,30.0,10.0,93119.0,227.747,ericsson,9.0,Swedish,sauber,Swiss,2017,10,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,5.0,9.0,0.0,102633.0,102633.0,102633.0,34,27,Overcast,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,102633.0,102633.0,102633.0,24,3,66,0,0,0,0,0,0,0,0,0,0,2,0,1,0,4,0,1,1,72.0,76.0,76.0,76.0,74.0 +8.0,10,13,0.0,50,,45.0,7.0,92290.0,229.793,grosjean,8.0,French,haas,American,2017,10,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,29.0,7.0,0.0,102042.0,89966.0,89549.0,38,31,Overcast,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,89549.0,102042.0,93852.33333333331,23,8,114,0,0,0,0,0,1,0,2,0,2,1,0,1,0,0,0,0,0,115.0,80.0,78.0,82.0,78.0 +44.0,1,1,25.0,51,4887430.0,48.0,1.0,90621.0,234.025,hamilton,44.0,British,mercedes,German,2017,10,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,3.0,330.0,1.0,6.0,99069.0,87893.0,86600.0,39,32,Overcast,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,86600.0,99069.0,91187.33333333331,22,10,198,5,2,0,2,1,0,1,0,0,0,0,0,0,0,0,0,0,0,200.0,86.0,85.0,88.0,86.0 +27.0,5,6,8.0,51,4955539.0,43.0,8.0,92577.0,229.08,hulkenberg,27.0,German,renault,French,2017,10,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,26.0,8.0,0.0,99201.0,89340.0,88856.0,37,30,Overcast,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,88856.0,99201.0,92465.66666666669,23,7,127,0,0,0,0,0,1,0,2,1,0,1,1,1,0,0,0,1,0,130.0,89.0,85.0,82.0,82.0 +20.0,16,12,0.0,50,,41.0,9.0,92683.0,228.818,kevin_magnussen,20.0,Danish,haas,American,2017,10,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,29.0,7.0,0.0,102577.0,102577.0,102577.0,32,25,Overcast,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,102577.0,102577.0,102577.0,22,3,51,0,0,0,0,0,0,1,1,0,1,0,1,1,1,1,0,0,1,72.0,76.0,76.0,76.0,74.0 +26.0,12,15,0.0,50,,29.0,17.0,93594.0,226.591,kvyat,26.0,Russian,toro_rosso,Italian,2017,10,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,33.0,6.0,0.0,101726.0,90355.0,90355.0,30,23,Overcast,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,90355.0,101726.0,94145.33333333331,20,3,69,0,0,0,0,0,0,0,0,2,0,0,2,0,1,0,1,2,0,72.0,76.0,76.0,76.0,74.0 +19.0,14,10,1.0,50,,39.0,16.0,93562.0,226.668,massa,19.0,Brazilian,williams,British,2017,10,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,41.0,5.0,0.0,101874.0,91482.0,91482.0,43,36,Overcast,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,91482.0,101874.0,94946.0,25,11,209,0,0,0,0,0,2,0,0,3,0,0,0,1,1,0,1,0,0,209.0,86.0,83.0,89.0,86.0 +33.0,4,4,12.0,51,4939555.0,51.0,2.0,90678.0,233.878,max_verstappen,33.0,Dutch,red_bull,Austrian,2017,10,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,174.0,3.0,1.0,98912.0,89431.0,88130.0,27,20,Overcast,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,88130.0,98912.0,92157.66666666669,18,2,50,1,0,1,0,3,0,0,0,0,0,0,0,0,0,0,0,0,3,72.0,76.0,76.0,76.0,74.0 +31.0,7,8,4.0,50,,39.0,15.0,93521.0,226.768,ocon,31.0,French,force_india,Indian,2017,10,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,95.0,4.0,0.0,99738.0,89701.0,89074.0,28,21,Overcast,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,89074.0,99738.0,92837.66666666669,20,1,19,0,0,0,0,1,2,1,1,0,3,0,1,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,6,9,2.0,50,,42.0,14.0,93504.0,226.809,perez,11.0,Mexican,force_india,Indian,2017,10,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,95.0,4.0,0.0,102009.0,89824.0,88902.0,34,27,Overcast,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,88902.0,102009.0,93578.33333333331,21,6,126,0,0,0,1,1,1,3,0,1,0,0,0,1,0,1,0,0,0,130.0,89.0,85.0,82.0,82.0 +7.0,2,3,15.0,51,4924000.0,44.0,4.0,91517.0,231.733,raikkonen,7.0,Finnish,ferrari,Italian,2017,10,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,275.0,2.0,3.0,100455.0,88992.0,87147.0,45,38,Overcast,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,87147.0,100455.0,92198.0,27,11,176,2,1,1,2,2,0,1,0,0,0,0,0,0,1,0,0,0,0,176.0,88.0,87.0,89.0,87.0 +3.0,19,5,10.0,51,4953385.0,47.0,6.0,91874.0,230.833,ricciardo,3.0,Australian,red_bull,Austrian,2017,10,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,1.0,174.0,3.0,1.0,102966.0,102966.0,102966.0,35,28,Overcast,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,102966.0,102966.0,102966.0,22,6,119,5,0,4,1,1,0,0,0,0,0,0,0,0,0,0,0,2,0,115.0,80.0,78.0,82.0,78.0 +18.0,15,16,0.0,50,,44.0,12.0,93400.0,227.062,stroll,18.0,Canadian,williams,British,2017,10,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,41.0,5.0,0.0,102573.0,102573.0,102573.0,26,19,Overcast,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,102573.0,102573.0,102573.0,19,0,10,1,0,1,0,0,0,0,0,1,1,1,0,0,0,1,2,1,0,58.0,72.0,78.0,73.0,72.0 +2.0,8,11,0.0,50,,43.0,13.0,93464.0,226.906,vandoorne,2.0,Belgian,mclaren,British,2017,10,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,2.0,10.0,0.0,100011.0,90105.0,89418.0,32,25,Overcast,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,89418.0,100011.0,93178.0,24,1,11,0,0,0,0,0,0,0,0,0,0,0,2,1,2,0,1,0,2,58.0,72.0,78.0,73.0,72.0 +5.0,3,7,6.0,51,4981419.0,38.0,5.0,91872.0,230.838,vettel,5.0,German,ferrari,Italian,2017,10,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,3.0,275.0,2.0,3.0,99962.0,88978.0,87356.0,37,30,Overcast,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,87356.0,99962.0,92098.66666666669,20,10,189,7,4,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,186.0,90.0,88.0,92.0,90.0 +94.0,17,17,0.0,50,,34.0,11.0,93342.0,227.203,wehrlein,94.0,German,sauber,Swiss,2017,10,British Grand Prix,43200000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,5.0,9.0,0.0,102593.0,102593.0,102593.0,30,23,Overcast,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,102593.0,102593.0,102593.0,22,1,29,0,0,0,0,0,0,0,1,0,1,1,0,0,1,1,1,0,0,58.0,72.0,78.0,73.0,72.0 +14.0,7,6,8.0,70,6057936.0,69.0,1.0,80182.0,196.697,alonso,14.0,Spanish,mclaren,British,2017,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,11.0,9.0,0.0,78395.0,77919.0,77549.0,43,36,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,77549.0,78395.0,77954.33333333333,25,11,214,0,0,0,0,0,0,0,0,1,0,0,1,0,2,0,2,0,1,214.0,90.0,82.0,90.0,88.0 +77.0,3,3,15.0,70,5999175.0,68.0,6.0,81214.0,194.198,bottas,77.0,Finnish,mercedes,German,2017,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,2.0,357.0,1.0,6.0,78058.0,77362.0,76530.0,35,28,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,76530.0,78058.0,77316.66666666667,24,4,89,7,3,2,1,0,1,0,0,0,0,0,0,0,0,0,0,1,0,91.0,83.0,77.0,75.0,75.0 +9.0,20,16,0.0,68,,66.0,10.0,81752.0,192.92,ericsson,9.0,Swedish,sauber,Swiss,2017,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+2 Laps,0.0,5.0,10.0,0.0,79972.0,79972.0,79972.0,34,27,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,79972.0,79972.0,79972.0,24,3,67,0,0,0,0,0,0,0,0,0,0,2,0,1,1,4,0,1,1,72.0,76.0,76.0,76.0,74.0 +44.0,4,4,12.0,70,5999598.0,66.0,5.0,80818.0,195.149,hamilton,44.0,British,mercedes,German,2017,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,4.0,357.0,1.0,6.0,77492.0,76693.0,76707.0,39,32,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,76693.0,77492.0,76964.0,22,10,199,6,2,0,2,1,0,1,0,0,0,0,0,0,0,0,0,0,0,200.0,86.0,85.0,88.0,86.0 +30.0,10,12,0.0,69,,68.0,7.0,81589.0,193.305,jolyon_palmer,30.0,British,renault,French,2017,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,26.0,8.0,0.0,78699.0,78415.0,78415.0,33,26,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,78415.0,78699.0,78509.66666666667,25,1,32,0,0,0,0,0,0,0,0,0,0,3,0,2,0,1,0,0,1,58.0,72.0,78.0,73.0,72.0 +20.0,15,13,0.0,69,,67.0,13.0,82100.0,192.102,kevin_magnussen,20.0,Danish,haas,American,2017,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,29.0,7.0,0.0,79095.0,79095.0,79095.0,32,25,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,79095.0,79095.0,79095.0,22,3,52,0,0,0,0,0,0,1,1,0,1,0,2,1,1,1,0,0,1,72.0,76.0,76.0,76.0,74.0 +26.0,16,11,0.0,69,,42.0,9.0,81631.0,193.206,kvyat,26.0,Russian,toro_rosso,Italian,2017,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,39.0,6.0,0.0,78702.0,78538.0,78538.0,30,23,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,78538.0,78702.0,78592.66666666667,20,3,70,0,0,0,0,0,0,0,0,2,0,0,2,0,1,1,1,2,0,72.0,76.0,76.0,76.0,74.0 +33.0,5,5,10.0,70,5999989.0,44.0,3.0,80490.0,195.944,max_verstappen,33.0,Dutch,red_bull,Austrian,2017,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,184.0,3.0,1.0,77266.0,77028.0,76797.0,27,20,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,76797.0,77266.0,77030.33333333333,18,2,51,1,0,1,1,3,0,0,0,0,0,0,0,0,0,0,0,0,3,72.0,76.0,76.0,76.0,74.0 +31.0,11,9,2.0,69,,60.0,15.0,82431.0,191.33,ocon,31.0,French,force_india,Indian,2017,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,101.0,4.0,0.0,78843.0,78495.0,78495.0,28,21,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,78495.0,78843.0,78611.0,20,1,20,0,0,0,0,1,2,1,2,0,3,0,1,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,13,8,4.0,69,,68.0,14.0,82105.0,192.09,perez,11.0,Mexican,force_india,Indian,2017,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,101.0,4.0,0.0,79095.0,78639.0,78639.0,34,27,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,78639.0,79095.0,78791.0,21,6,127,0,0,0,1,1,1,3,0,2,0,0,0,1,0,1,0,0,0,130.0,89.0,85.0,82.0,82.0 +7.0,2,2,18.0,70,5987621.0,70.0,2.0,80461.0,196.015,raikkonen,7.0,Finnish,ferrari,Italian,2017,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,318.0,2.0,4.0,77364.0,77207.0,76444.0,45,38,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,76444.0,77364.0,77005.0,27,11,177,3,1,2,2,2,0,1,0,0,0,0,0,0,1,0,0,0,0,176.0,88.0,87.0,89.0,87.0 +55.0,9,7,6.0,69,,67.0,11.0,81871.0,192.639,sainz,55.0,Spanish,toro_rosso,Italian,2017,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,39.0,6.0,0.0,78948.0,78311.0,78912.0,30,23,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,78311.0,78948.0,78723.66666666667,21,2,51,0,0,0,0,0,1,2,2,0,1,0,0,0,0,0,1,1,0,72.0,76.0,76.0,76.0,74.0 +18.0,17,14,0.0,69,,53.0,16.0,82830.0,190.409,stroll,18.0,Canadian,williams,British,2017,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,41.0,5.0,0.0,79102.0,79102.0,79102.0,26,19,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,79102.0,79102.0,79102.0,19,0,11,1,0,1,0,0,0,0,0,1,1,1,0,0,0,1,3,1,0,58.0,72.0,78.0,73.0,72.0 +2.0,8,10,1.0,69,,44.0,12.0,81960.0,192.43,vandoorne,2.0,Belgian,mclaren,British,2017,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,11.0,9.0,0.0,78479.0,78000.0,77894.0,32,25,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,77894.0,78479.0,78124.33333333333,24,1,12,0,0,0,0,0,0,0,0,0,0,1,2,1,2,0,1,0,2,58.0,72.0,78.0,73.0,72.0 +5.0,1,1,25.0,70,5986713.0,69.0,4.0,80807.0,195.176,vettel,5.0,German,ferrari,Italian,2017,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,3.0,318.0,2.0,4.0,77244.0,76802.0,76276.0,37,30,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,76276.0,77244.0,76774.0,20,10,190,7,4,0,2,0,0,1,0,0,0,0,0,0,0,0,0,0,0,191.0,86.0,84.0,88.0,86.0 +94.0,18,15,0.0,68,,50.0,18.0,83573.0,188.716,wehrlein,94.0,German,sauber,Swiss,2017,11,Hungarian Grand Prix,43200000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+2 Laps,0.0,5.0,10.0,0.0,79839.0,79839.0,79839.0,30,23,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,79839.0,79839.0,79839.0,22,1,30,0,0,0,0,0,0,0,1,0,1,1,0,0,1,1,1,1,0,58.0,72.0,78.0,73.0,72.0 +77.0,3,5,10.0,44,5099276.0,37.0,4.0,107721.0,234.071,bottas,77.0,Finnish,mercedes,German,2017,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,2.0,392.0,1.0,7.0,104773.0,103249.0,103094.0,35,28,Partially cloudy and dry,0,0,1,0,1,Race circuit,Clockwise,7.004,44.0,308.052,103094.0,104773.0,103705.33333333331,24,4,90,8,3,3,1,0,1,0,0,0,0,0,0,0,0,0,0,1,0,91.0,83.0,77.0,75.0,75.0 +9.0,17,16,0.0,44,5152531.0,25.0,17.0,110775.0,227.618,ericsson,9.0,Swedish,sauber,Swiss,2017,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,5.0,10.0,0.0,107214.0,107214.0,107214.0,34,27,Partially cloudy and dry,0,0,1,0,1,Race circuit,Clockwise,7.004,44.0,308.052,107214.0,107214.0,107214.0,24,3,68,0,0,0,0,0,0,0,0,0,0,2,0,1,1,4,1,1,1,72.0,76.0,76.0,76.0,74.0 +8.0,11,7,6.0,44,5114373.0,37.0,8.0,109087.0,231.14,grosjean,8.0,French,haas,American,2017,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,35.0,7.0,0.0,105728.0,105133.0,105133.0,38,31,Partially cloudy and dry,0,0,1,0,1,Race circuit,Clockwise,7.004,44.0,308.052,105133.0,105728.0,105331.33333333331,23,8,116,0,0,0,0,0,1,0,2,0,2,1,0,2,0,0,0,0,0,115.0,80.0,78.0,82.0,78.0 +44.0,1,1,25.0,44,5082820.0,35.0,2.0,106603.0,236.526,hamilton,44.0,British,mercedes,German,2017,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,4.0,392.0,1.0,7.0,104184.0,102927.0,102553.0,39,32,Partially cloudy and dry,0,0,1,0,1,Race circuit,Clockwise,7.004,44.0,308.052,102553.0,104184.0,103221.33333333331,22,10,200,6,2,0,3,1,0,1,0,0,0,0,0,0,0,0,0,0,0,200.0,86.0,85.0,88.0,86.0 +27.0,7,6,8.0,44,5110907.0,39.0,7.0,108922.0,231.49,hulkenberg,27.0,German,renault,French,2017,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,34.0,8.0,0.0,105280.0,104988.0,104982.0,37,30,Partially cloudy and dry,0,0,1,0,1,Race circuit,Clockwise,7.004,44.0,308.052,104982.0,105280.0,105083.33333333331,23,7,129,0,0,0,0,0,2,0,2,1,0,1,1,1,0,0,0,2,0,133.0,90.0,90.0,81.0,84.0 +30.0,14,13,0.0,44,5136059.0,44.0,10.0,109283.0,230.725,jolyon_palmer,30.0,British,renault,French,2017,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,34.0,8.0,0.0,105447.0,104685.0,104685.0,33,26,Partially cloudy and dry,0,0,1,0,1,Race circuit,Clockwise,7.004,44.0,308.052,104685.0,105447.0,104939.0,25,1,33,0,0,0,0,0,0,0,0,0,0,3,1,2,0,1,0,0,1,58.0,72.0,78.0,73.0,72.0 +20.0,12,15,0.0,44,5150082.0,36.0,9.0,109126.0,231.057,kevin_magnussen,20.0,Danish,haas,American,2017,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,35.0,7.0,0.0,105535.0,105400.0,105400.0,32,25,Partially cloudy and dry,0,0,1,0,1,Race circuit,Clockwise,7.004,44.0,308.052,105400.0,105535.0,105445.0,22,3,53,0,0,0,0,0,0,1,1,0,1,0,2,2,1,1,0,0,1,72.0,76.0,76.0,76.0,74.0 +26.0,19,12,0.0,44,5132760.0,39.0,12.0,109708.0,229.831,kvyat,26.0,Russian,toro_rosso,Italian,2017,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,40.0,6.0,0.0,106028.0,106028.0,106028.0,30,23,Partially cloudy and dry,0,0,1,0,1,Race circuit,Clockwise,7.004,44.0,308.052,106028.0,106028.0,106028.0,20,3,71,0,0,0,0,0,0,0,0,2,0,1,2,0,1,1,1,2,0,72.0,76.0,76.0,76.0,74.0 +19.0,16,8,4.0,44,5119469.0,37.0,11.0,109637.0,229.98,massa,19.0,Brazilian,williams,British,2017,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,45.0,5.0,0.0,105823.0,105823.0,105823.0,43,36,Partially cloudy and dry,0,0,1,0,1,Race circuit,Clockwise,7.004,44.0,308.052,105823.0,105823.0,105823.0,25,11,210,0,0,0,0,0,2,0,0,3,1,0,0,1,1,0,1,0,0,210.0,88.0,85.0,90.0,88.0 +31.0,9,9,2.0,44,5120974.0,37.0,14.0,109721.0,229.804,ocon,31.0,French,force_india,Indian,2017,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,103.0,4.0,0.0,105277.0,105006.0,105369.0,28,21,Partially cloudy and dry,0,0,1,0,1,Race circuit,Clockwise,7.004,44.0,308.052,105006.0,105369.0,105217.33333333331,20,1,21,0,0,0,0,1,2,1,2,1,3,0,1,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +7.0,4,4,12.0,44,5097291.0,36.0,5.0,107730.0,234.051,raikkonen,7.0,Finnish,ferrari,Italian,2017,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,348.0,2.0,4.0,104729.0,103700.0,103270.0,45,38,Partially cloudy and dry,0,0,1,0,1,Race circuit,Clockwise,7.004,44.0,308.052,103270.0,104729.0,103899.66666666669,27,11,178,4,2,2,2,2,0,1,0,0,0,0,0,0,1,0,0,0,0,176.0,88.0,87.0,89.0,87.0 +3.0,6,3,15.0,44,5093611.0,44.0,3.0,107549.0,234.445,ricciardo,3.0,Australian,red_bull,Austrian,2017,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,1.0,199.0,3.0,1.0,105114.0,104224.0,103863.0,35,28,Partially cloudy and dry,0,0,1,0,1,Race circuit,Clockwise,7.004,44.0,308.052,103863.0,105114.0,104400.33333333331,22,6,121,5,0,4,1,2,0,0,0,0,0,0,0,0,0,0,0,2,0,123.0,88.0,82.0,85.0,83.0 +55.0,13,10,1.0,44,5122267.0,39.0,13.0,109709.0,229.829,sainz,55.0,Spanish,toro_rosso,Italian,2017,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,40.0,6.0,0.0,105374.0,105439.0,105439.0,30,23,Partially cloudy and dry,0,0,1,0,1,Race circuit,Clockwise,7.004,44.0,308.052,105374.0,105439.0,105417.33333333331,21,2,52,0,0,0,0,0,1,3,2,0,1,0,0,0,0,0,1,1,0,72.0,76.0,76.0,76.0,74.0 +18.0,15,11,0.0,44,5131819.0,41.0,16.0,110543.0,228.095,stroll,18.0,Canadian,williams,British,2017,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,45.0,5.0,0.0,106915.0,106915.0,106915.0,26,19,Partially cloudy and dry,0,0,1,0,1,Race circuit,Clockwise,7.004,44.0,308.052,106915.0,106915.0,106915.0,19,0,12,1,0,1,0,0,0,0,0,1,1,1,0,0,1,1,3,1,0,58.0,72.0,78.0,73.0,72.0 +2.0,20,14,0.0,44,5139898.0,44.0,15.0,109907.0,229.415,vandoorne,2.0,Belgian,mclaren,British,2017,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,11.0,9.0,0.0,105441.0,105441.0,105441.0,32,25,Partially cloudy and dry,0,0,1,0,1,Race circuit,Clockwise,7.004,44.0,308.052,105441.0,105441.0,105441.0,24,1,13,0,0,0,0,0,0,0,0,0,1,1,2,1,2,0,1,0,2,58.0,72.0,78.0,73.0,72.0 +5.0,2,2,18.0,44,5085178.0,41.0,1.0,106577.0,236.583,vettel,5.0,German,ferrari,Italian,2017,12,Belgian Grand Prix,43200000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,4.0,348.0,2.0,4.0,104275.0,103987.0,102795.0,37,30,Partially cloudy and dry,0,0,1,0,1,Race circuit,Clockwise,7.004,44.0,308.052,102795.0,104275.0,103685.66666666669,20,10,191,8,4,0,2,0,0,1,0,0,0,0,0,0,0,0,0,0,0,191.0,86.0,84.0,88.0,86.0 +77.0,4,2,18.0,53,4536783.0,53.0,3.0,83488.0,249.095,bottas,77.0,Finnish,mercedes,German,2017,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,2.0,435.0,1.0,8.0,95716.0,95396.0,97833.0,35,28,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,95396.0,97833.0,96315.0,24,4,91,8,3,3,1,1,1,0,0,0,0,0,0,0,0,0,0,1,0,96.0,84.0,79.0,78.0,77.0 +8.0,20,15,0.0,52,,48.0,7.0,85020.0,245.292,grosjean,8.0,French,haas,American,2017,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,35.0,7.0,0.0,103355.0,103355.0,103355.0,38,31,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,103355.0,103355.0,103355.0,23,8,117,0,0,0,0,0,1,1,2,0,2,1,0,2,0,0,0,0,0,115.0,80.0,78.0,82.0,78.0 +44.0,1,1,25.0,53,4532312.0,50.0,2.0,83488.0,249.793,hamilton,44.0,British,mercedes,German,2017,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,5.0,435.0,1.0,8.0,96009.0,94660.0,95554.0,39,32,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,94660.0,96009.0,95407.66666666669,22,10,201,7,2,0,3,1,0,1,0,0,0,0,0,0,0,0,0,0,0,203.0,84.0,82.0,87.0,85.0 +27.0,14,13,0.0,52,,46.0,16.0,86131.0,242.128,hulkenberg,27.0,German,renault,French,2017,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,34.0,8.0,0.0,99242.0,98059.0,98059.0,37,30,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,98059.0,99242.0,98453.33333333331,23,7,130,0,0,0,0,0,3,0,2,1,0,1,1,1,0,0,0,2,0,133.0,90.0,90.0,81.0,84.0 +20.0,9,11,0.0,52,,48.0,15.0,86037.0,242.393,kevin_magnussen,20.0,Danish,haas,American,2017,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,35.0,7.0,0.0,100489.0,100489.0,100489.0,32,25,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,100489.0,100489.0,100489.0,22,3,54,0,0,0,0,0,0,1,1,0,1,0,2,2,1,2,0,0,1,72.0,76.0,76.0,76.0,74.0 +26.0,8,12,0.0,52,,43.0,14.0,85894.0,242.796,kvyat,26.0,Russian,toro_rosso,Italian,2017,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,40.0,6.0,0.0,99183.0,98245.0,98245.0,30,23,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,98245.0,99183.0,98557.66666666669,20,3,72,0,0,0,0,0,0,0,0,2,0,1,3,0,1,1,1,2,0,72.0,76.0,76.0,76.0,74.0 +19.0,7,8,4.0,53,4607146.0,30.0,9.0,85477.0,243.981,massa,19.0,Brazilian,williams,British,2017,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,55.0,5.0,0.0,98338.0,97456.0,98251.0,43,36,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,97456.0,98338.0,98015.0,25,11,211,0,0,0,0,0,2,0,1,3,1,0,0,1,1,0,1,0,0,210.0,88.0,85.0,90.0,88.0 +33.0,13,10,1.0,52,,48.0,5.0,84351.0,247.238,max_verstappen,33.0,Dutch,red_bull,Austrian,2017,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,212.0,3.0,1.0,97344.0,96113.0,96702.0,27,20,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,96113.0,97344.0,96719.66666666669,18,2,53,1,0,1,1,4,0,0,0,0,0,0,0,0,0,0,0,0,3,72.0,76.0,76.0,76.0,74.0 +31.0,3,6,8.0,53,4603840.0,53.0,11.0,85054.0,243.482,ocon,31.0,French,force_india,Indian,2017,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,113.0,4.0,0.0,98775.0,97580.0,97719.0,28,21,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,97580.0,98775.0,98024.66666666669,20,1,22,0,0,0,0,1,2,1,2,2,3,0,1,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,10,9,2.0,53,4607588.0,48.0,6.0,84968.0,245.442,perez,11.0,Mexican,force_india,Indian,2017,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,113.0,4.0,0.0,98511.0,97582.0,97582.0,34,27,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,97582.0,98511.0,97891.66666666669,21,6,129,0,0,0,1,1,1,3,1,2,0,0,0,1,0,1,0,1,0,133.0,90.0,90.0,81.0,84.0 +7.0,5,5,10.0,53,4592394.0,43.0,8.0,85054.0,245.194,raikkonen,7.0,Finnish,ferrari,Italian,2017,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,373.0,2.0,4.0,98235.0,97031.0,97987.0,45,38,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,97031.0,98235.0,97751.0,27,11,179,4,2,2,3,2,0,1,0,0,0,0,0,0,1,0,0,0,0,176.0,88.0,87.0,89.0,87.0 +3.0,16,4,12.0,53,4572647.0,49.0,1.0,83361.0,250.174,ricciardo,3.0,Australian,red_bull,Austrian,2017,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,1.0,212.0,3.0,1.0,98304.0,97313.0,96841.0,35,28,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,96841.0,98304.0,97486.0,22,6,122,6,0,5,1,2,0,0,0,0,0,0,0,0,0,0,0,2,0,123.0,88.0,82.0,85.0,83.0 +55.0,15,14,0.0,52,,46.0,17.0,86210.0,241.906,sainz,55.0,Spanish,toro_rosso,Italian,2017,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,40.0,6.0,0.0,99788.0,98526.0,98526.0,30,23,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,98526.0,99788.0,98946.66666666669,21,2,53,0,0,0,0,0,1,3,2,0,2,0,0,0,0,0,1,1,0,72.0,76.0,76.0,76.0,74.0 +18.0,2,7,6.0,53,4606468.0,51.0,10.0,85625.0,243.559,stroll,18.0,Canadian,williams,British,2017,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,55.0,5.0,0.0,97653.0,97002.0,97032.0,26,19,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,97002.0,97653.0,97229.0,19,0,13,1,0,1,0,0,0,0,0,1,1,2,0,0,1,1,3,1,0,58.0,72.0,78.0,73.0,72.0 +5.0,6,3,15.0,53,4568629.0,51.0,4.0,83897.0,248.576,vettel,5.0,German,ferrari,Italian,2017,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,4.0,373.0,2.0,4.0,97198.0,96223.0,98064.0,37,30,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,96223.0,98064.0,97161.66666666669,20,10,192,9,5,0,2,0,0,1,0,0,0,0,0,0,0,0,0,0,0,191.0,86.0,84.0,88.0,86.0 +94.0,12,16,0.0,51,,47.0,18.0,86547.0,240.965,wehrlein,94.0,German,sauber,Swiss,2017,13,Italian Grand Prix,43200000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+2 Laps,0.0,5.0,10.0,0.0,101875.0,101875.0,101875.0,30,23,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,101875.0,101875.0,101875.0,22,1,32,0,0,0,0,0,0,0,1,0,1,1,0,0,1,2,1,1,0,58.0,72.0,78.0,73.0,72.0 +77.0,6,3,15.0,58,7412344.0,54.0,3.0,105405.0,172.989,bottas,77.0,Finnish,mercedes,German,2017,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,2.0,475.0,1.0,9.0,103137.0,101409.0,100810.0,35,28,"Wet at start, then drying. Air temperature: 28°C (82°F)",0,0,1,1,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,100810.0,103137.0,101785.33333333331,24,4,92,9,4,3,1,1,1,0,0,0,0,0,0,0,0,0,0,1,0,96.0,84.0,79.0,78.0,77.0 +8.0,15,9,2.0,58,7446826.0,54.0,11.0,107637.0,169.402,grosjean,8.0,French,haas,American,2017,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,37.0,8.0,0.0,103627.0,103883.0,103883.0,38,31,"Wet at start, then drying. Air temperature: 28°C (82°F)",0,0,1,1,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,103627.0,103883.0,103797.66666666669,23,8,118,0,0,0,0,0,1,1,2,0,2,1,0,2,0,1,0,0,0,115.0,80.0,78.0,82.0,78.0 +44.0,5,1,25.0,58,7403544.0,55.0,1.0,105008.0,173.643,hamilton,44.0,British,mercedes,German,2017,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,6.0,475.0,1.0,9.0,102455.0,100577.0,100126.0,39,32,"Wet at start, then drying. Air temperature: 28°C (82°F)",0,0,1,1,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,100126.0,102455.0,101052.66666666669,22,10,202,8,2,0,3,1,0,1,0,0,0,0,0,0,0,0,0,0,0,203.0,84.0,82.0,87.0,85.0 +30.0,11,6,8.0,58,7430803.0,52.0,5.0,106722.0,170.855,jolyon_palmer,30.0,British,renault,French,2017,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,42.0,7.0,0.0,102472.0,102107.0,102107.0,33,26,"Wet at start, then drying. Air temperature: 28°C (82°F)",0,0,1,1,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,102107.0,102472.0,102228.66666666669,25,1,35,0,0,0,0,0,0,0,0,0,0,3,1,3,0,1,0,0,1,58.0,72.0,78.0,73.0,72.0 +19.0,17,11,0.0,58,7450080.0,58.0,8.0,107055.0,170.323,massa,19.0,Brazilian,williams,British,2017,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,59.0,5.0,0.0,104014.0,104014.0,104014.0,43,36,"Wet at start, then drying. Air temperature: 28°C (82°F)",0,0,1,1,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,104014.0,104014.0,104014.0,25,11,212,0,0,0,0,0,2,0,2,3,1,0,0,1,1,0,1,0,0,214.0,90.0,82.0,90.0,88.0 +31.0,14,10,1.0,58,7448339.0,52.0,12.0,107677.0,169.339,ocon,31.0,French,force_india,Indian,2017,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,124.0,4.0,0.0,103626.0,102760.0,102760.0,28,21,"Wet at start, then drying. Air temperature: 28°C (82°F)",0,0,1,1,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,102760.0,103626.0,103048.66666666669,20,1,23,0,0,0,0,1,3,1,2,2,3,0,1,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,12,5,10.0,58,7428903.0,52.0,7.0,106731.0,170.84,perez,11.0,Mexican,force_india,Indian,2017,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,124.0,4.0,0.0,103594.0,102246.0,102246.0,34,27,"Wet at start, then drying. Air temperature: 28°C (82°F)",0,0,1,1,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,102246.0,103594.0,102695.33333333331,21,6,130,0,0,0,1,1,1,3,1,3,0,0,0,1,0,1,0,1,0,133.0,90.0,90.0,81.0,84.0 +3.0,3,2,18.0,58,7408051.0,57.0,2.0,105301.0,173.16,ricciardo,3.0,Australian,red_bull,Austrian,2017,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,1.0,230.0,3.0,1.0,102063.0,100385.0,99840.0,35,28,"Wet at start, then drying. Air temperature: 28°C (82°F)",0,0,1,1,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,99840.0,102063.0,100762.66666666669,22,6,123,6,0,5,2,2,0,0,0,0,0,0,0,0,0,0,0,2,0,123.0,88.0,82.0,85.0,83.0 +55.0,10,4,12.0,58,7426366.0,52.0,4.0,106537.0,171.151,sainz,55.0,Spanish,toro_rosso,Italian,2017,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,52.0,6.0,0.0,102176.0,101826.0,102056.0,30,23,"Wet at start, then drying. Air temperature: 28°C (82°F)",0,0,1,1,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,101826.0,102176.0,102019.33333333331,21,2,54,0,0,0,0,0,1,3,2,0,2,0,0,0,1,0,1,1,0,72.0,76.0,76.0,76.0,74.0 +18.0,18,8,4.0,58,7445240.0,55.0,9.0,107512.0,169.599,stroll,18.0,Canadian,williams,British,2017,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,59.0,5.0,0.0,104728.0,104728.0,104728.0,26,19,"Wet at start, then drying. Air temperature: 28°C (82°F)",0,0,1,1,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,104728.0,104728.0,104728.0,19,0,14,1,0,1,0,0,0,1,0,1,1,2,0,0,1,1,3,1,0,58.0,72.0,78.0,73.0,72.0 +2.0,9,7,6.0,58,7433932.0,57.0,6.0,106722.0,170.855,vandoorne,2.0,Belgian,mclaren,British,2017,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,17.0,9.0,0.0,102222.0,101227.0,101398.0,32,25,"Wet at start, then drying. Air temperature: 28°C (82°F)",0,0,1,1,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,101227.0,102222.0,101615.66666666669,24,1,15,0,0,0,0,0,0,0,0,0,1,1,2,1,3,0,1,0,2,58.0,72.0,78.0,73.0,72.0 +94.0,19,12,0.0,56,,56.0,14.0,109061.0,167.19,wehrlein,94.0,German,sauber,Swiss,2017,14,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,+2 Laps,0.0,5.0,10.0,0.0,105059.0,105059.0,105059.0,30,23,"Wet at start, then drying. Air temperature: 28°C (82°F)",0,0,1,1,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,105059.0,105059.0,105059.0,22,1,33,0,0,0,0,0,0,0,1,0,1,1,0,0,1,2,2,1,0,58.0,72.0,78.0,73.0,72.0 +14.0,10,11,0.0,55,,11.0,11.0,96501.0,206.783,alonso,14.0,Spanish,mclaren,British,2017,15,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+1 Lap,0.0,23.0,9.0,0.0,93049.0,92010.0,91704.0,43,36,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.543,56.0,310.408,91704.0,93049.0,92254.33333333331,25,11,218,0,0,0,0,0,1,0,0,1,0,0,1,0,2,0,2,2,2,219.0,90.0,82.0,87.0,87.0 +77.0,5,5,10.0,56,5457311.0,44.0,6.0,95284.0,209.424,bottas,77.0,Finnish,mercedes,German,2017,15,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,2.0,503.0,1.0,9.0,92254.0,90803.0,90758.0,35,28,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.543,56.0,310.408,90758.0,92254.0,91271.66666666669,24,4,93,10,4,4,1,1,1,0,0,0,0,0,0,0,0,0,0,1,0,96.0,84.0,79.0,78.0,77.0 +9.0,19,18,0.0,54,,54.0,13.0,96630.0,206.507,ericsson,9.0,Swedish,sauber,Swiss,2017,15,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+2 Laps,0.0,5.0,10.0,0.0,93970.0,93970.0,93970.0,34,27,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.543,56.0,310.408,93970.0,93970.0,93970.0,24,3,71,0,0,0,0,0,0,0,0,0,0,2,0,1,1,5,2,1,2,72.0,76.0,76.0,76.0,74.0 +10.0,15,14,0.0,55,,45.0,16.0,97170.0,205.359,gasly,10.0,French,toro_rosso,Italian,2017,15,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+1 Lap,0.0,52.0,6.0,0.0,92547.0,92558.0,92558.0,28,21,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.543,56.0,310.408,92547.0,92558.0,92554.33333333331,21,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,16,13,0.0,55,,49.0,8.0,95796.0,208.305,grosjean,8.0,French,haas,American,2017,15,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+1 Lap,0.0,37.0,8.0,0.0,93308.0,93308.0,93308.0,38,31,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.543,56.0,310.408,93308.0,93308.0,93308.0,23,8,119,0,0,0,0,0,1,1,2,1,2,1,0,2,0,1,0,0,0,115.0,80.0,78.0,82.0,78.0 +44.0,1,2,18.0,56,5414060.0,48.0,3.0,94452.0,211.269,hamilton,44.0,British,mercedes,German,2017,15,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,7.0,503.0,1.0,9.0,91605.0,90977.0,90076.0,39,32,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.543,56.0,310.408,90076.0,91605.0,90886.0,22,10,203,9,2,0,3,1,0,1,0,0,0,0,0,0,0,0,0,0,0,207.0,83.0,82.0,86.0,84.0 +27.0,8,16,0.0,55,,52.0,2.0,94266.0,211.686,hulkenberg,27.0,German,renault,French,2017,15,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+1 Lap,0.0,42.0,7.0,0.0,92586.0,91778.0,91607.0,37,30,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.543,56.0,310.408,91607.0,92586.0,91990.33333333331,23,7,132,0,0,0,0,0,3,0,2,1,0,1,1,2,1,0,0,2,0,133.0,90.0,90.0,81.0,84.0 +30.0,12,15,0.0,55,,45.0,17.0,97186.0,205.325,jolyon_palmer,30.0,British,renault,French,2017,15,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+1 Lap,0.0,42.0,7.0,0.0,92576.0,92100.0,92100.0,33,26,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.543,56.0,310.408,92100.0,92576.0,92258.66666666669,25,1,36,0,0,0,0,0,1,0,0,0,0,3,1,3,0,1,0,0,1,58.0,72.0,78.0,73.0,72.0 +20.0,17,12,0.0,55,,46.0,18.0,97192.0,205.313,kevin_magnussen,20.0,Danish,haas,American,2017,15,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+1 Lap,0.0,37.0,8.0,0.0,93434.0,93434.0,93434.0,32,25,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.543,56.0,310.408,93434.0,93434.0,93434.0,22,3,56,0,0,0,0,0,0,1,1,0,1,1,2,3,1,2,0,0,1,72.0,76.0,76.0,76.0,74.0 +19.0,11,9,2.0,55,,44.0,14.0,96944.0,205.838,massa,19.0,Brazilian,williams,British,2017,15,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+1 Lap,0.0,65.0,5.0,0.0,92267.0,92034.0,92034.0,43,36,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.543,56.0,310.408,92034.0,92267.0,92111.66666666669,25,11,213,0,0,0,0,0,2,0,2,3,1,1,0,1,1,0,1,0,0,214.0,90.0,82.0,90.0,88.0 +33.0,3,1,25.0,56,5401290.0,50.0,4.0,94467.0,211.235,max_verstappen,33.0,Dutch,red_bull,Austrian,2017,15,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,270.0,3.0,2.0,91920.0,90931.0,90541.0,27,20,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.543,56.0,310.408,90541.0,91920.0,91130.66666666669,18,2,55,1,0,1,1,4,0,0,0,0,1,0,0,0,0,0,0,0,3,72.0,76.0,76.0,76.0,74.0 +31.0,6,10,1.0,55,,36.0,15.0,97075.0,205.56,ocon,31.0,French,force_india,Indian,2017,15,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+1 Lap,0.0,133.0,4.0,0.0,92527.0,91651.0,91478.0,28,21,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.543,56.0,310.408,91478.0,92527.0,91885.33333333331,20,1,24,0,0,0,0,1,3,1,2,2,4,0,1,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,9,6,8.0,56,5479920.0,32.0,7.0,95591.0,208.751,perez,11.0,Mexican,force_india,Indian,2017,15,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,0.0,133.0,4.0,0.0,92768.0,91484.0,91658.0,34,27,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.543,56.0,310.408,91484.0,92768.0,91970.0,21,6,131,0,0,0,1,2,1,3,1,3,0,0,0,1,0,1,0,1,0,133.0,90.0,90.0,81.0,84.0 +3.0,4,3,15.0,56,5423809.0,55.0,5.0,94770.0,210.56,ricciardo,3.0,Australian,red_bull,Austrian,2017,15,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,1.0,270.0,3.0,2.0,92416.0,91061.0,90595.0,35,28,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.543,56.0,310.408,90595.0,92416.0,91357.33333333331,22,6,124,7,1,5,2,2,0,0,0,0,0,0,0,0,0,0,0,2,0,123.0,88.0,82.0,85.0,83.0 +18.0,13,8,4.0,55,,46.0,12.0,96627.0,206.513,stroll,18.0,Canadian,williams,British,2017,15,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+1 Lap,0.0,65.0,5.0,0.0,93000.0,92307.0,92307.0,26,19,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.543,56.0,310.408,92307.0,93000.0,92538.0,19,0,15,1,0,1,0,0,0,1,1,1,1,2,0,0,1,1,3,1,0,58.0,72.0,78.0,73.0,72.0 +2.0,7,7,6.0,55,,49.0,9.0,95931.0,208.012,vandoorne,2.0,Belgian,mclaren,British,2017,15,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+1 Lap,0.0,23.0,9.0,0.0,92838.0,91848.0,91582.0,32,25,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.543,56.0,310.408,91582.0,92838.0,92089.33333333331,24,1,16,0,0,0,0,0,0,1,0,0,1,1,2,1,3,0,1,0,2,58.0,72.0,78.0,73.0,72.0 +5.0,20,4,12.0,56,5438652.0,41.0,1.0,94080.0,212.104,vettel,5.0,German,ferrari,Italian,2017,15,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,Finished,4.0,385.0,2.0,4.0,93970.0,93970.0,93970.0,37,30,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.543,56.0,310.408,93970.0,93970.0,93970.0,20,10,194,10,5,1,2,0,0,1,0,0,0,0,0,0,0,0,0,0,1,197.0,86.0,85.0,88.0,86.0 +94.0,18,17,0.0,55,,53.0,10.0,96395.0,207.01,wehrlein,94.0,German,sauber,Swiss,2017,15,Malaysian Grand Prix,25200000.0,sepang,Kuala Lumpur,Malaysia,2.76083,101.738,18.0,+1 Lap,0.0,5.0,10.0,0.0,93483.0,93483.0,93483.0,30,23,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.543,56.0,310.408,93483.0,93483.0,93483.0,22,1,34,0,0,0,0,0,0,0,1,0,1,1,1,0,1,2,2,1,0,58.0,72.0,78.0,73.0,72.0 +14.0,20,11,0.0,52,,45.0,12.0,95111.0,219.797,alonso,14.0,Spanish,mclaren,British,2017,16,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+1 Lap,0.0,23.0,9.0,0.0,90525.0,89749.0,90687.0,43,36,Sunny,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,89749.0,90687.0,90320.33333333331,25,11,219,0,0,0,0,0,1,0,0,1,0,1,1,0,2,0,2,2,2,219.0,90.0,82.0,87.0,87.0 +77.0,6,4,12.0,53,5261774.0,50.0,1.0,93144.0,224.439,bottas,77.0,Finnish,mercedes,German,2017,16,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,2.0,540.0,1.0,10.0,89332.0,88543.0,87651.0,35,28,Sunny,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,87651.0,89332.0,88508.66666666667,24,4,94,10,4,4,1,2,1,0,0,0,0,0,0,0,0,0,0,1,0,96.0,84.0,79.0,78.0,77.0 +10.0,14,13,0.0,52,,45.0,8.0,94533.0,221.141,gasly,10.0,French,toro_rosso,Italian,2017,16,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+1 Lap,0.0,52.0,6.0,0.0,91317.0,91317.0,91317.0,28,21,Sunny,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,91317.0,91317.0,91317.0,21,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,13,9,2.0,53,5341077.0,50.0,14.0,95347.0,219.253,grosjean,8.0,French,haas,American,2017,16,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,43.0,7.0,0.0,90849.0,90849.0,90849.0,38,31,Sunny,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,90849.0,90849.0,90849.0,23,8,120,0,0,0,0,0,1,1,2,1,2,1,0,3,0,1,0,0,0,115.0,80.0,78.0,82.0,78.0 +44.0,1,1,25.0,53,5251194.0,43.0,6.0,93780.0,222.917,hamilton,44.0,British,mercedes,German,2017,16,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,7.0,540.0,1.0,10.0,89047.0,87819.0,87319.0,39,32,Sunny,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,87319.0,89047.0,88061.66666666667,22,10,204,10,3,0,3,1,0,1,0,0,0,0,0,0,0,0,0,0,0,207.0,83.0,82.0,86.0,84.0 +30.0,18,12,0.0,52,,50.0,7.0,94095.0,222.171,jolyon_palmer,30.0,British,renault,French,2017,16,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+1 Lap,0.0,42.0,8.0,0.0,90516.0,90022.0,90022.0,33,26,Sunny,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,90022.0,90516.0,90186.66666666669,25,1,37,0,0,0,0,0,1,0,0,0,0,3,1,3,0,2,0,0,1,72.0,76.0,76.0,76.0,74.0 +20.0,12,8,4.0,53,5340147.0,50.0,13.0,95338.0,219.274,kevin_magnussen,20.0,Danish,haas,American,2017,16,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,43.0,7.0,0.0,90774.0,89972.0,89972.0,32,25,Sunny,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,89972.0,90774.0,90239.33333333331,22,3,57,0,0,0,0,0,0,1,1,0,1,1,3,3,1,2,0,0,1,72.0,76.0,76.0,76.0,74.0 +19.0,8,10,1.0,52,,50.0,16.0,95943.0,217.891,massa,19.0,Brazilian,williams,British,2017,16,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+1 Lap,0.0,66.0,5.0,0.0,90352.0,89687.0,89480.0,43,36,Sunny,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,89480.0,90352.0,89839.66666666667,25,11,214,0,0,0,0,0,2,0,2,4,1,1,0,1,1,0,1,0,0,214.0,90.0,82.0,90.0,88.0 +33.0,4,2,18.0,53,5252405.0,51.0,5.0,93730.0,223.036,max_verstappen,33.0,Dutch,red_bull,Austrian,2017,16,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,1.0,303.0,3.0,2.0,89181.0,88747.0,88332.0,27,20,Sunny,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,88332.0,89181.0,88753.33333333333,18,2,56,2,0,1,1,4,0,0,0,0,1,0,0,0,0,0,0,0,3,72.0,76.0,76.0,76.0,74.0 +31.0,5,6,8.0,53,5318982.0,50.0,11.0,94843.0,220.419,ocon,31.0,French,force_india,Indian,2017,16,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,147.0,4.0,0.0,90115.0,89199.0,89111.0,28,21,Sunny,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,89111.0,90115.0,89475.0,20,1,25,0,0,0,0,1,3,1,2,2,5,0,1,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,7,7,6.0,53,5322618.0,23.0,10.0,94744.0,220.649,perez,11.0,Mexican,force_india,Indian,2017,16,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,147.0,4.0,0.0,89696.0,89343.0,89260.0,34,27,Sunny,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,89260.0,89696.0,89433.0,21,6,132,0,0,0,1,2,2,3,1,3,0,0,0,1,0,1,0,1,0,133.0,90.0,90.0,81.0,84.0 +7.0,10,5,10.0,53,5283816.0,50.0,2.0,93175.0,224.364,raikkonen,7.0,Finnish,ferrari,Italian,2017,16,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,395.0,2.0,4.0,89163.0,89079.0,88498.0,45,38,Sunny,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,88498.0,89163.0,88913.33333333333,27,11,182,4,2,2,3,3,0,1,0,0,0,0,0,0,1,0,0,0,0,179.0,87.0,90.0,88.0,87.0 +3.0,3,3,15.0,53,5260873.0,52.0,3.0,93694.0,223.122,ricciardo,3.0,Australian,red_bull,Austrian,2017,16,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,1.0,303.0,3.0,2.0,89475.0,88935.0,88306.0,35,28,Sunny,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,88306.0,89475.0,88905.33333333333,22,6,125,8,1,6,2,2,0,0,0,0,0,0,0,0,0,0,0,2,0,123.0,88.0,82.0,85.0,83.0 +2.0,9,14,0.0,52,,49.0,4.0,93724.0,223.05,vandoorne,2.0,Belgian,mclaren,British,2017,16,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+1 Lap,0.0,23.0,9.0,0.0,90654.0,89778.0,89778.0,32,25,Sunny,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,89778.0,90654.0,90070.0,24,1,17,0,0,0,0,0,0,2,0,0,1,1,2,1,3,0,1,0,2,58.0,72.0,78.0,73.0,72.0 +94.0,17,15,0.0,51,,27.0,17.0,96430.0,216.791,wehrlein,94.0,German,sauber,Swiss,2017,16,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+2 Laps,0.0,5.0,10.0,0.0,91885.0,91885.0,91885.0,30,23,Sunny,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,91885.0,91885.0,91885.0,22,1,35,0,0,0,0,0,0,0,1,0,1,1,1,0,1,2,2,2,0,58.0,72.0,78.0,73.0,72.0 +77.0,3,5,10.0,56,5665958.0,54.0,2.0,97767.0,203.001,bottas,77.0,Finnish,mercedes,German,2017,17,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,2.0,575.0,1.0,11.0,95309.0,93769.0,93568.0,35,28,Sunny with temperatures reaching up to 82.9 °F (28.3 °C); wind speeds approaching speeds of 13.8 miles per hour (22.2 km/h)[4],1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,93568.0,95309.0,94215.33333333331,24,4,95,10,4,4,2,2,1,0,0,0,0,0,0,0,0,0,0,1,0,96.0,84.0,79.0,78.0,77.0 +39.0,19,13,0.0,55,,47.0,8.0,99979.0,198.509,brendon_hartley,28.0,New Zealander,toro_rosso,Italian,2017,17,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,+1 Lap,0.0,53.0,6.0,0.0,96889.0,96889.0,96889.0,35,28,Sunny with temperatures reaching up to 82.9 °F (28.3 °C); wind speeds approaching speeds of 13.8 miles per hour (22.2 km/h)[4],1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,96889.0,96889.0,96889.0,28,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +9.0,13,15,0.0,55,,42.0,16.0,101041.0,196.423,ericsson,9.0,Swedish,sauber,Swiss,2017,17,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,+1 Lap,0.0,5.0,10.0,0.0,96842.0,96842.0,96842.0,34,27,Sunny with temperatures reaching up to 82.9 °F (28.3 °C); wind speeds approaching speeds of 13.8 miles per hour (22.2 km/h)[4],1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,96842.0,96842.0,96842.0,24,3,73,0,0,0,0,0,0,0,0,0,0,2,0,1,1,5,2,1,4,74.0,75.0,75.0,72.0,71.0 +8.0,12,14,0.0,55,,36.0,17.0,101259.0,196.0,grosjean,8.0,French,haas,American,2017,17,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,+1 Lap,0.0,43.0,8.0,0.0,96835.0,95870.0,95870.0,38,31,Sunny with temperatures reaching up to 82.9 °F (28.3 °C); wind speeds approaching speeds of 13.8 miles per hour (22.2 km/h)[4],1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,95870.0,96835.0,96191.66666666669,23,8,121,0,0,0,0,0,1,1,2,2,2,1,0,3,0,1,0,0,0,123.0,88.0,82.0,85.0,83.0 +44.0,1,1,25.0,56,5630991.0,48.0,5.0,98776.0,200.927,hamilton,44.0,British,mercedes,German,2017,17,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,8.0,575.0,1.0,11.0,94822.0,93437.0,93108.0,39,32,Sunny with temperatures reaching up to 82.9 °F (28.3 °C); wind speeds approaching speeds of 13.8 miles per hour (22.2 km/h)[4],1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,93108.0,94822.0,93789.0,22,10,205,11,3,0,3,1,0,1,0,0,0,0,0,0,0,0,0,0,0,207.0,83.0,82.0,86.0,84.0 +20.0,17,16,0.0,55,,51.0,3.0,97893.0,202.739,kevin_magnussen,20.0,Danish,haas,American,2017,17,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,+1 Lap,0.0,43.0,8.0,0.0,97394.0,97394.0,97394.0,32,25,Sunny with temperatures reaching up to 82.9 °F (28.3 °C); wind speeds approaching speeds of 13.8 miles per hour (22.2 km/h)[4],1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,97394.0,97394.0,97394.0,22,3,58,0,0,0,0,0,0,1,2,0,1,1,3,3,1,2,0,0,1,72.0,76.0,76.0,76.0,74.0 +26.0,11,10,1.0,55,,19.0,15.0,100971.0,196.559,kvyat,26.0,Russian,toro_rosso,Italian,2017,17,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,+1 Lap,0.0,53.0,6.0,0.0,96073.0,95529.0,95529.0,30,23,Sunny with temperatures reaching up to 82.9 °F (28.3 °C); wind speeds approaching speeds of 13.8 miles per hour (22.2 km/h)[4],1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,95529.0,96073.0,95710.33333333331,20,3,74,0,0,0,0,0,0,0,0,2,0,1,4,0,1,1,2,2,0,74.0,75.0,75.0,72.0,71.0 +19.0,10,9,2.0,55,,36.0,10.0,100131.0,198.208,massa,19.0,Brazilian,williams,British,2017,17,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,+1 Lap,0.0,68.0,5.0,0.0,95603.0,95155.0,95155.0,43,36,Sunny with temperatures reaching up to 82.9 °F (28.3 °C); wind speeds approaching speeds of 13.8 miles per hour (22.2 km/h)[4],1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,95155.0,95603.0,95304.33333333331,25,11,215,0,0,0,0,0,2,0,2,4,2,1,0,1,1,0,1,0,0,215.0,89.0,83.0,90.0,88.0 +33.0,16,4,12.0,56,5647759.0,39.0,4.0,98060.0,202.394,max_verstappen,33.0,Dutch,red_bull,Austrian,2017,17,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,1.0,315.0,3.0,2.0,94899.0,94716.0,93658.0,27,20,Sunny with temperatures reaching up to 82.9 °F (28.3 °C); wind speeds approaching speeds of 13.8 miles per hour (22.2 km/h)[4],1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,93658.0,94899.0,94424.33333333331,18,2,57,3,1,1,1,4,0,0,0,0,1,0,0,0,0,0,0,0,3,72.0,76.0,76.0,76.0,74.0 +31.0,6,6,8.0,56,5721971.0,53.0,13.0,100499.0,197.482,ocon,31.0,French,force_india,Indian,2017,17,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,0.0,159.0,4.0,0.0,95849.0,95113.0,94647.0,28,21,Sunny with temperatures reaching up to 82.9 °F (28.3 °C); wind speeds approaching speeds of 13.8 miles per hour (22.2 km/h)[4],1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,94647.0,95849.0,95203.0,20,1,26,0,0,0,0,1,4,1,2,2,5,0,1,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,9,8,4.0,55,,14.0,14.0,100851.0,196.793,perez,11.0,Mexican,force_india,Indian,2017,17,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,+1 Lap,0.0,159.0,4.0,0.0,96358.0,94789.0,95148.0,34,27,Sunny with temperatures reaching up to 82.9 °F (28.3 °C); wind speeds approaching speeds of 13.8 miles per hour (22.2 km/h)[4],1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,94789.0,96358.0,95431.66666666669,21,6,133,0,0,0,1,2,2,4,1,3,0,0,0,1,0,1,0,1,0,134.0,87.0,90.0,80.0,83.0 +7.0,5,3,15.0,56,5646770.0,42.0,6.0,98809.0,200.86,raikkonen,7.0,Finnish,ferrari,Italian,2017,17,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,0.0,428.0,2.0,4.0,95649.0,93840.0,93577.0,45,38,Sunny with temperatures reaching up to 82.9 °F (28.3 °C); wind speeds approaching speeds of 13.8 miles per hour (22.2 km/h)[4],1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,93577.0,95649.0,94355.33333333331,27,11,183,4,2,2,3,4,0,1,0,0,0,0,0,0,1,0,0,0,0,183.0,90.0,89.0,91.0,90.0 +55.0,7,7,6.0,56,5723935.0,43.0,12.0,100462.0,197.555,sainz,55.0,Spanish,renault,French,2017,17,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,0.0,48.0,7.0,0.0,95517.0,94899.0,94852.0,30,23,Sunny with temperatures reaching up to 82.9 °F (28.3 °C); wind speeds approaching speeds of 13.8 miles per hour (22.2 km/h)[4],1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,94852.0,95517.0,95089.33333333331,21,2,57,0,0,0,1,0,1,3,2,0,2,0,0,0,1,0,1,1,0,72.0,76.0,76.0,76.0,74.0 +18.0,15,11,0.0,55,,38.0,7.0,99666.0,199.133,stroll,18.0,Canadian,williams,British,2017,17,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,+1 Lap,0.0,68.0,5.0,0.0,96868.0,96868.0,96868.0,26,19,Sunny with temperatures reaching up to 82.9 °F (28.3 °C); wind speeds approaching speeds of 13.8 miles per hour (22.2 km/h)[4],1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,96868.0,96868.0,96868.0,19,0,17,1,0,1,0,0,0,1,2,1,1,2,0,0,1,1,4,1,0,58.0,72.0,78.0,73.0,72.0 +2.0,20,12,0.0,55,,27.0,11.0,100349.0,197.777,vandoorne,2.0,Belgian,mclaren,British,2017,17,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,+1 Lap,0.0,23.0,9.0,0.0,96286.0,95641.0,95641.0,32,25,Sunny with temperatures reaching up to 82.9 °F (28.3 °C); wind speeds approaching speeds of 13.8 miles per hour (22.2 km/h)[4],1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,95641.0,96286.0,95856.0,24,1,18,0,0,0,0,0,0,2,0,0,1,1,2,1,4,0,1,0,2,58.0,72.0,78.0,73.0,72.0 +5.0,2,2,18.0,56,5641134.0,51.0,1.0,97766.0,203.003,vettel,5.0,German,ferrari,Italian,2017,17,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,4.0,428.0,2.0,4.0,95420.0,94103.0,93347.0,37,30,Sunny with temperatures reaching up to 82.9 °F (28.3 °C); wind speeds approaching speeds of 13.8 miles per hour (22.2 km/h)[4],1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,93347.0,95420.0,94290.0,20,10,196,10,5,1,3,0,0,1,0,0,0,0,0,0,0,0,0,0,1,197.0,86.0,85.0,88.0,86.0 +14.0,18,10,1.0,70,,50.0,11.0,81014.0,191.255,alonso,14.0,Spanish,mclaren,British,2017,18,Mexican Grand Prix,68400000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,+1 Lap,0.0,24.0,9.0,0.0,77710.0,77710.0,77710.0,43,36,"Sunny, dry",1,0,1,0,0,Race circuit,Clockwise,4.304,71.0,305.354,77710.0,77710.0,77710.0,25,11,221,0,0,0,0,0,1,0,0,1,0,2,1,0,2,0,2,3,2,219.0,90.0,82.0,87.0,87.0 +77.0,4,2,18.0,71,5806230.0,70.0,3.0,79374.0,195.207,bottas,77.0,Finnish,mercedes,German,2017,18,Mexican Grand Prix,68400000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,Finished,2.0,595.0,1.0,11.0,77578.0,77161.0,76958.0,35,28,"Sunny, dry",1,0,1,0,0,Race circuit,Clockwise,4.304,71.0,305.354,76958.0,77578.0,77232.33333333333,24,4,96,10,4,4,2,3,1,0,0,0,0,0,0,0,0,0,0,1,0,96.0,84.0,79.0,78.0,77.0 +10.0,20,13,0.0,70,,70.0,8.0,80859.0,191.622,gasly,10.0,French,toro_rosso,Italian,2017,18,Mexican Grand Prix,68400000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,+1 Lap,0.0,53.0,6.0,0.0,79473.0,79473.0,79473.0,28,21,"Sunny, dry",1,0,1,0,0,Race circuit,Clockwise,4.304,71.0,305.354,79473.0,79473.0,79473.0,21,0,3,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,15,15,0.0,69,,64.0,7.0,80345.0,192.848,grosjean,8.0,French,haas,American,2017,18,Mexican Grand Prix,68400000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,+2 Laps,0.0,47.0,8.0,0.0,79473.0,79473.0,79473.0,38,31,"Sunny, dry",1,0,1,0,0,Race circuit,Clockwise,4.304,71.0,305.354,79473.0,79473.0,79473.0,23,8,122,0,0,0,0,0,1,1,2,2,2,1,0,3,1,1,0,0,0,123.0,88.0,82.0,85.0,83.0 +44.0,3,9,2.0,70,,69.0,5.0,79945.0,193.813,hamilton,44.0,British,mercedes,German,2017,18,Mexican Grand Prix,68400000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,+1 Lap,9.0,595.0,1.0,11.0,77518.0,77035.0,76934.0,39,32,"Sunny, dry",1,0,1,0,0,Race circuit,Clockwise,4.304,71.0,305.354,76934.0,77518.0,77162.33333333333,22,10,206,12,3,0,3,1,0,1,0,0,0,0,0,0,0,0,0,0,0,207.0,83.0,82.0,86.0,84.0 +20.0,14,8,4.0,70,,68.0,14.0,81214.0,190.784,kevin_magnussen,20.0,Danish,haas,American,2017,18,Mexican Grand Prix,68400000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,+1 Lap,0.0,47.0,8.0,0.0,79443.0,79443.0,79443.0,32,25,"Sunny, dry",1,0,1,0,0,Race circuit,Clockwise,4.304,71.0,305.354,79443.0,79443.0,79443.0,22,3,59,0,0,0,0,0,0,1,2,0,1,1,3,3,1,2,1,0,1,72.0,76.0,76.0,76.0,74.0 +19.0,10,11,0.0,70,,55.0,13.0,81136.0,190.968,massa,19.0,Brazilian,williams,British,2017,18,Mexican Grand Prix,68400000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,+1 Lap,0.0,76.0,5.0,0.0,78570.0,78099.0,78099.0,43,36,"Sunny, dry",1,0,1,0,0,Race circuit,Clockwise,4.304,71.0,305.354,78099.0,78570.0,78256.0,25,11,216,0,0,0,0,0,2,0,2,5,2,1,0,1,1,0,1,0,0,215.0,89.0,83.0,90.0,88.0 +33.0,2,1,25.0,71,5786552.0,65.0,2.0,78892.0,196.4,max_verstappen,33.0,Dutch,red_bull,Austrian,2017,18,Mexican Grand Prix,68400000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,Finished,1.0,340.0,3.0,3.0,77630.0,76524.0,76574.0,27,20,"Sunny, dry",1,0,1,0,0,Race circuit,Clockwise,4.304,71.0,305.354,76524.0,77630.0,76909.33333333333,18,2,58,3,1,1,2,4,0,0,0,0,1,0,0,0,0,0,0,0,3,72.0,76.0,76.0,76.0,74.0 +31.0,6,5,10.0,70,,67.0,9.0,80946.0,191.416,ocon,31.0,French,force_india,Indian,2017,18,Mexican Grand Prix,68400000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,+1 Lap,0.0,175.0,4.0,0.0,78336.0,77827.0,77437.0,28,21,"Sunny, dry",1,0,1,0,0,Race circuit,Clockwise,4.304,71.0,305.354,77437.0,78336.0,77866.66666666667,20,1,27,0,0,0,0,1,5,1,2,2,5,0,1,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,9,7,6.0,70,,54.0,4.0,79929.0,193.852,perez,11.0,Mexican,force_india,Indian,2017,18,Mexican Grand Prix,68400000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,+1 Lap,0.0,175.0,4.0,0.0,78020.0,77868.0,77807.0,34,27,"Sunny, dry",1,0,1,0,0,Race circuit,Clockwise,4.304,71.0,305.354,77807.0,78020.0,77898.33333333333,21,6,134,0,0,0,1,2,2,4,2,3,0,0,0,1,0,1,0,1,0,134.0,87.0,90.0,80.0,83.0 +7.0,5,3,15.0,71,5840559.0,59.0,6.0,80054.0,193.549,raikkonen,7.0,Finnish,ferrari,Italian,2017,18,Mexican Grand Prix,68400000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,Finished,0.0,455.0,2.0,4.0,78148.0,77534.0,77238.0,45,38,"Sunny, dry",1,0,1,0,0,Race circuit,Clockwise,4.304,71.0,305.354,77238.0,78148.0,77640.0,27,11,184,5,2,3,3,4,0,1,0,0,0,0,0,0,1,0,0,0,0,183.0,90.0,89.0,91.0,90.0 +18.0,11,6,8.0,70,,53.0,12.0,81062.0,191.142,stroll,18.0,Canadian,williams,British,2017,18,Mexican Grand Prix,68400000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,+1 Lap,0.0,76.0,5.0,0.0,78902.0,79159.0,79159.0,26,19,"Sunny, dry",1,0,1,0,0,Race circuit,Clockwise,4.304,71.0,305.354,78902.0,79159.0,79073.33333333333,19,0,18,1,0,1,0,0,0,1,2,1,1,3,0,0,1,1,4,1,0,58.0,72.0,78.0,73.0,72.0 +2.0,19,12,0.0,70,,66.0,10.0,80972.0,191.355,vandoorne,2.0,Belgian,mclaren,British,2017,18,Mexican Grand Prix,68400000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,+1 Lap,0.0,24.0,9.0,0.0,78578.0,78578.0,78578.0,32,25,"Sunny, dry",1,0,1,0,0,Race circuit,Clockwise,4.304,71.0,305.354,78578.0,78578.0,78578.0,24,1,19,0,0,0,0,0,0,2,0,0,1,1,3,1,4,0,1,0,2,58.0,72.0,78.0,73.0,72.0 +5.0,1,4,12.0,71,5856630.0,68.0,1.0,78785.0,196.666,vettel,5.0,German,ferrari,Italian,2017,18,Mexican Grand Prix,68400000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,Finished,4.0,455.0,2.0,4.0,77665.0,76870.0,76488.0,37,30,"Sunny, dry",1,0,1,0,0,Race circuit,Clockwise,4.304,71.0,305.354,76488.0,77665.0,77007.66666666667,20,10,197,11,6,1,3,0,0,1,0,0,0,0,0,0,0,0,0,0,1,197.0,86.0,85.0,88.0,86.0 +94.0,13,14,0.0,69,,56.0,16.0,81638.0,189.793,wehrlein,94.0,German,sauber,Swiss,2017,18,Mexican Grand Prix,68400000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,+2 Laps,0.0,5.0,10.0,0.0,79333.0,79333.0,79333.0,30,23,"Sunny, dry",1,0,1,0,0,Race circuit,Clockwise,4.304,71.0,305.354,79333.0,79333.0,79333.0,22,1,37,0,0,0,0,0,0,0,1,0,1,1,1,0,1,3,2,2,0,72.0,76.0,76.0,76.0,74.0 +14.0,6,8,4.0,71,5555625.0,57.0,10.0,73451.0,211.193,alonso,14.0,Spanish,mclaren,British,2017,19,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,28.0,9.0,0.0,70172.0,69593.0,69617.0,43,36,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,69593.0,70172.0,69794.0,25,11,222,0,0,0,0,0,1,0,0,1,1,2,1,0,2,0,2,3,2,220.0,91.0,79.0,86.0,86.0 +77.0,1,2,18.0,71,5489024.0,58.0,5.0,72466.0,214.064,bottas,77.0,Finnish,mercedes,German,2017,19,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,2.0,625.0,1.0,11.0,69452.0,68638.0,68322.0,35,28,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,68322.0,69452.0,68804.0,24,4,97,11,5,4,2,3,1,0,0,0,0,0,0,0,0,0,0,1,0,100.0,83.0,81.0,81.0,78.0 +9.0,17,13,0.0,70,,70.0,14.0,73666.0,210.577,ericsson,9.0,Swedish,sauber,Swiss,2017,19,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,5.0,10.0,0.0,70875.0,70875.0,70875.0,34,27,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,70875.0,70875.0,70875.0,24,3,75,0,0,0,0,0,0,0,0,0,0,2,0,1,1,6,2,2,4,74.0,75.0,75.0,72.0,71.0 +10.0,19,12,0.0,70,,61.0,9.0,73323.0,211.562,gasly,10.0,French,toro_rosso,Italian,2017,19,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,53.0,6.0,0.0,70686.0,70686.0,70686.0,28,21,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,70686.0,70686.0,70686.0,21,0,4,0,0,0,0,0,0,0,0,0,0,0,0,2,1,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,11,15,0.0,69,,66.0,12.0,73532.0,210.961,grosjean,8.0,French,haas,American,2017,19,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+2 Laps,0.0,47.0,8.0,0.0,70148.0,69879.0,69879.0,38,31,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,69879.0,70148.0,69968.66666666667,23,8,123,0,0,0,0,0,1,1,2,2,2,1,0,3,1,2,0,0,0,123.0,88.0,82.0,85.0,83.0 +44.0,20,4,12.0,71,5491730.0,63.0,2.0,71845.0,215.914,hamilton,44.0,British,mercedes,German,2017,19,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,9.0,625.0,1.0,11.0,70875.0,70875.0,70875.0,39,32,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,70875.0,70875.0,70875.0,22,10,207,12,3,0,3,1,0,1,0,1,0,0,0,0,0,0,0,0,0,209.0,86.0,83.0,89.0,86.0 +27.0,7,10,1.0,70,,57.0,15.0,73758.0,210.314,hulkenberg,27.0,German,renault,French,2017,19,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,49.0,7.0,0.0,70078.0,69726.0,69703.0,37,30,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,69703.0,70078.0,69835.66666666667,23,7,136,0,0,0,0,0,3,0,2,1,0,1,1,2,1,0,1,3,0,134.0,87.0,90.0,80.0,83.0 +19.0,9,7,6.0,71,5555144.0,60.0,11.0,73452.0,211.19,massa,19.0,Brazilian,williams,British,2017,19,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,82.0,5.0,0.0,69789.0,69612.0,69841.0,43,36,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,69612.0,69841.0,69747.33333333333,25,11,217,0,0,0,0,0,2,0,2,5,2,2,0,1,1,0,1,0,0,219.0,90.0,82.0,87.0,87.0 +33.0,4,5,10.0,71,5519202.0,64.0,1.0,71044.0,218.349,max_verstappen,33.0,Dutch,red_bull,Austrian,2017,19,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,2.0,358.0,3.0,3.0,69820.0,69050.0,68925.0,27,20,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,68925.0,69820.0,69265.0,18,2,59,4,1,1,2,4,0,0,0,0,1,0,0,0,0,0,0,0,3,72.0,76.0,76.0,76.0,74.0 +11.0,5,9,2.0,71,5555762.0,61.0,8.0,73052.0,212.347,perez,11.0,Mexican,force_india,Indian,2017,19,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,177.0,4.0,0.0,70145.0,69760.0,69598.0,34,27,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,69598.0,70145.0,69834.33333333333,21,6,135,0,0,0,1,2,2,5,2,3,0,0,0,1,0,1,0,1,0,134.0,87.0,90.0,80.0,83.0 +7.0,3,3,15.0,71,5490862.0,61.0,6.0,72492.0,213.987,raikkonen,7.0,Finnish,ferrari,Italian,2017,19,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,495.0,2.0,5.0,69405.0,69116.0,68538.0,45,38,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,68538.0,69405.0,69019.66666666667,27,11,185,6,2,4,3,4,0,1,0,0,0,0,0,0,1,0,0,0,0,183.0,90.0,89.0,91.0,90.0 +3.0,14,6,8.0,71,5534953.0,71.0,4.0,72029.0,215.363,ricciardo,3.0,Australian,red_bull,Austrian,2017,19,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,1.0,358.0,3.0,3.0,69828.0,69533.0,69330.0,35,28,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,69330.0,69828.0,69563.66666666667,22,6,128,9,1,7,2,2,0,0,0,0,0,0,0,0,0,0,0,2,1,133.0,90.0,90.0,81.0,84.0 +55.0,8,11,0.0,70,,67.0,13.0,73625.0,210.694,sainz,55.0,Spanish,renault,French,2017,19,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,49.0,7.0,0.0,70227.0,69768.0,69805.0,30,23,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,69768.0,70227.0,69933.33333333333,21,2,59,0,0,0,1,0,1,4,2,0,2,0,0,0,1,0,2,1,0,72.0,76.0,76.0,76.0,74.0 +18.0,16,16,0.0,69,,69.0,3.0,71862.0,215.863,stroll,18.0,Canadian,williams,British,2017,19,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+2 Laps,0.0,82.0,5.0,0.0,70776.0,70776.0,70776.0,26,19,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,70776.0,70776.0,70776.0,19,0,19,1,0,1,0,0,1,1,2,1,1,3,0,0,1,1,4,1,0,58.0,72.0,78.0,73.0,72.0 +5.0,2,1,25.0,71,5486262.0,63.0,7.0,72539.0,213.849,vettel,5.0,German,ferrari,Italian,2017,19,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,4.0,495.0,2.0,5.0,69643.0,68494.0,68360.0,37,30,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,68360.0,69643.0,68832.33333333333,20,10,198,11,6,1,4,0,0,1,0,0,0,0,0,0,0,0,0,0,1,200.0,86.0,85.0,88.0,86.0 +94.0,15,14,0.0,70,,60.0,17.0,74812.0,207.351,wehrlein,94.0,German,sauber,Swiss,2017,19,Brazilian Grand Prix,57600000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,5.0,10.0,0.0,70678.0,70678.0,70678.0,30,23,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,70678.0,70678.0,70678.0,22,1,38,0,0,0,0,0,0,0,1,0,1,1,1,0,2,3,2,2,0,72.0,76.0,76.0,76.0,74.0 +14.0,11,9,2.0,54,,26.0,4.0,103378.0,193.41,alonso,14.0,Spanish,mclaren,British,2017,20,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,30.0,9.0,0.0,98820.0,98636.0,98636.0,43,36,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,98636.0,98820.0,98697.33333333331,25,11,223,0,0,0,0,0,1,0,1,1,1,2,1,0,2,0,2,3,2,220.0,91.0,79.0,86.0,86.0 +77.0,1,1,25.0,55,5654062.0,52.0,1.0,100650.0,198.652,bottas,77.0,Finnish,mercedes,German,2017,20,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,2.0,668.0,1.0,12.0,97356.0,96822.0,96231.0,35,28,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,96231.0,97356.0,96803.0,24,4,98,12,6,4,2,3,1,0,0,0,0,0,0,0,0,0,0,1,0,100.0,83.0,81.0,81.0,78.0 +28.0,20,15,0.0,54,,52.0,18.0,103897.0,192.444,brendon_hartley,28.0,New Zealander,toro_rosso,Italian,2017,20,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,53.0,7.0,0.0,100471.0,100471.0,100471.0,35,28,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,100471.0,100471.0,100471.0,28,0,4,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,1,58.0,72.0,78.0,73.0,72.0 +9.0,19,17,0.0,54,,36.0,15.0,103567.0,193.057,ericsson,9.0,Swedish,sauber,Swiss,2017,20,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,5.0,10.0,0.0,99994.0,99994.0,99994.0,34,27,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,99994.0,99994.0,99994.0,24,3,76,0,0,0,0,0,0,0,0,0,0,2,0,2,1,6,2,2,4,74.0,75.0,75.0,72.0,71.0 +10.0,17,16,0.0,54,,33.0,16.0,103844.0,192.542,gasly,10.0,French,toro_rosso,Italian,2017,20,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,53.0,7.0,0.0,99724.0,99724.0,99724.0,28,21,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,99724.0,99724.0,99724.0,21,0,5,0,0,0,0,0,0,0,0,0,0,0,1,2,1,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,16,11,0.0,54,,51.0,9.0,102437.0,195.187,grosjean,8.0,French,haas,American,2017,20,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,47.0,8.0,0.0,99516.0,99516.0,99516.0,38,31,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,99516.0,99516.0,99516.0,23,8,124,0,0,0,0,0,1,1,2,2,2,1,0,3,1,3,0,0,0,123.0,88.0,82.0,85.0,83.0 +44.0,2,2,18.0,55,5657961.0,51.0,3.0,101473.0,197.041,hamilton,44.0,British,mercedes,German,2017,20,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,9.0,668.0,1.0,12.0,97391.0,96742.0,96403.0,39,32,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,96403.0,97391.0,96845.33333333331,22,10,208,12,3,0,4,1,0,1,0,1,0,0,0,0,0,0,0,0,0,209.0,86.0,83.0,89.0,86.0 +27.0,7,6,8.0,55,5739775.0,53.0,8.0,102376.0,195.303,hulkenberg,27.0,German,renault,French,2017,20,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,57.0,6.0,0.0,98781.0,98138.0,98282.0,37,30,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,98138.0,98781.0,98400.33333333331,23,7,137,0,0,0,0,0,3,0,2,1,1,1,1,2,1,0,1,3,0,134.0,87.0,90.0,80.0,83.0 +20.0,14,13,0.0,54,,50.0,19.0,103928.0,192.387,kevin_magnussen,20.0,Danish,haas,American,2017,20,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,47.0,8.0,0.0,99395.0,99298.0,99298.0,32,25,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,99298.0,99395.0,99330.33333333331,22,3,61,0,0,0,0,0,0,1,3,0,1,1,3,3,1,2,1,0,1,72.0,76.0,76.0,76.0,74.0 +19.0,10,10,1.0,54,,45.0,13.0,103026.0,194.071,massa,19.0,Brazilian,williams,British,2017,20,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,83.0,5.0,0.0,98629.0,98565.0,98550.0,43,36,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,98550.0,98629.0,98581.33333333331,25,11,218,0,0,0,0,0,2,1,2,5,2,2,0,1,1,0,1,0,0,219.0,90.0,82.0,87.0,87.0 +33.0,6,5,10.0,55,5700331.0,43.0,5.0,102028.0,195.969,max_verstappen,33.0,Dutch,red_bull,Austrian,2017,20,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,2.0,368.0,3.0,3.0,98021.0,97777.0,97328.0,27,20,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,97328.0,98021.0,97708.66666666669,18,2,60,4,1,1,2,5,0,0,0,0,1,0,0,0,0,0,0,0,3,72.0,76.0,76.0,76.0,74.0 +31.0,9,8,4.0,55,5752973.0,47.0,10.0,102609.0,194.86,ocon,31.0,French,force_india,Indian,2017,20,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,187.0,4.0,0.0,98896.0,98392.0,98397.0,28,21,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,98392.0,98896.0,98561.66666666669,20,1,29,0,0,0,0,2,5,1,2,2,5,0,1,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +11.0,8,7,6.0,55,5746124.0,52.0,11.0,102689.0,194.708,perez,11.0,Mexican,force_india,Indian,2017,20,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,187.0,4.0,0.0,98601.0,98359.0,98374.0,34,27,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,98359.0,98601.0,98444.66666666669,21,6,136,0,0,0,1,2,2,5,2,4,0,0,0,1,0,1,0,1,0,134.0,87.0,90.0,80.0,83.0 +7.0,5,4,12.0,55,5699448.0,53.0,7.0,102338.0,195.376,raikkonen,7.0,Finnish,ferrari,Italian,2017,20,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,522.0,2.0,5.0,97453.0,97302.0,96985.0,45,38,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,96985.0,97453.0,97246.66666666669,27,11,186,7,2,5,3,4,0,1,0,0,0,0,0,0,1,0,0,0,0,186.0,90.0,88.0,92.0,90.0 +18.0,15,18,0.0,54,,52.0,6.0,102324.0,195.402,stroll,18.0,Canadian,williams,British,2017,20,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,83.0,5.0,0.0,99503.0,99646.0,99646.0,26,19,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,99503.0,99646.0,99598.33333333331,19,0,20,1,0,1,0,0,1,1,2,1,1,3,0,0,1,1,5,1,0,58.0,72.0,78.0,73.0,72.0 +2.0,13,12,0.0,54,,50.0,20.0,103986.0,192.279,vandoorne,2.0,Belgian,mclaren,British,2017,20,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,30.0,9.0,0.0,98777.0,98808.0,98808.0,32,25,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,98777.0,98808.0,98797.66666666669,24,1,21,0,0,0,0,0,0,2,0,0,1,1,4,1,4,0,1,0,2,58.0,72.0,78.0,73.0,72.0 +5.0,3,3,15.0,55,5673392.0,5.0,2.0,100770.0,198.416,vettel,5.0,German,ferrari,Italian,2017,20,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,5.0,522.0,2.0,5.0,97817.0,97023.0,96777.0,37,30,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,96777.0,97817.0,97205.66666666669,20,10,199,12,6,1,4,0,0,1,0,0,0,0,0,0,0,0,0,0,1,200.0,86.0,85.0,88.0,86.0 +94.0,18,14,0.0,54,,50.0,17.0,103867.0,192.5,wehrlein,94.0,German,sauber,Swiss,2017,20,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,5.0,10.0,0.0,99930.0,99930.0,99930.0,30,23,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,99930.0,99930.0,99930.0,22,1,39,0,0,0,0,0,0,0,1,0,1,1,1,0,3,3,2,2,0,72.0,76.0,76.0,76.0,74.0 +14.0,10,5,10.0,58,5401169.0,57.0,7.0,86978.0,219.489,alonso,14.0,Spanish,mclaren,British,2018,1,Australian Grand Prix,18600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,12.0,4.0,0.0,83597.0,83692.0,83692.0,43,37,Sunny,1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,83597.0,83692.0,83660.33333333333,25,12,224,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,220.0,91.0,79.0,86.0,86.0 +77.0,15,8,4.0,58,5407622.0,54.0,8.0,87019.0,219.386,bottas,77.0,Finnish,mercedes,German,2018,1,Australian Grand Prix,18600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,22.0,2.0,0.0,83686.0,82089.0,82089.0,35,29,Sunny,1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,82089.0,83686.0,82621.33333333333,24,5,99,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,100.0,83.0,81.0,81.0,78.0 +28.0,16,15,0.0,57,,57.0,13.0,88176.0,216.507,brendon_hartley,28.0,New Zealander,toro_rosso,Italian,2018,1,Australian Grand Prix,18600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+1 Lap,0.0,0.0,9.0,0.0,84532.0,84532.0,84532.0,35,29,Sunny,1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,84532.0,84532.0,84532.0,28,1,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +44.0,1,2,18.0,58,5378319.0,50.0,3.0,86444.0,220.845,hamilton,44.0,British,mercedes,German,2018,1,Australian Grand Prix,18600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,22.0,2.0,0.0,82824.0,82051.0,81164.0,39,33,Sunny,1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,81164.0,82824.0,82013.0,22,11,209,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,209.0,86.0,83.0,89.0,86.0 +27.0,7,7,6.0,58,5405954.0,57.0,9.0,87081.0,219.23,hulkenberg,27.0,German,renault,French,2018,1,Australian Grand Prix,18600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,7.0,5.0,0.0,83782.0,83544.0,83532.0,37,31,Sunny,1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,83532.0,83782.0,83619.33333333333,23,8,138,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,137.0,87.0,90.0,80.0,83.0 +16.0,18,13,0.0,58,5449042.0,56.0,15.0,88759.0,215.085,leclerc,16.0,Monegasque,sauber,Swiss,2018,1,Australian Grand Prix,18600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,0.0,7.0,0.0,84636.0,84636.0,84636.0,27,21,Sunny,1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,84636.0,84636.0,84636.0,21,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +33.0,4,6,8.0,58,5402228.0,54.0,5.0,86880.0,219.737,max_verstappen,33.0,Dutch,red_bull,Austrian,2018,1,Australian Grand Prix,18600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,20.0,3.0,0.0,83483.0,82416.0,81879.0,27,21,Sunny,1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,81879.0,83483.0,82592.66666666667,18,3,61,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +31.0,14,12,0.0,58,5433561.0,57.0,10.0,87600.0,217.931,ocon,31.0,French,force_india,Indian,2018,1,Australian Grand Prix,18600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,0.0,6.0,0.0,84503.0,84786.0,84786.0,28,22,Sunny,1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,84503.0,84786.0,84691.66666666667,20,2,30,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,12,11,0.0,58,5420100.0,51.0,11.0,87633.0,217.849,perez,11.0,Mexican,force_india,Indian,2018,1,Australian Grand Prix,18600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,0.0,6.0,0.0,84344.0,84005.0,84005.0,34,28,Sunny,1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,84005.0,84344.0,84118.0,21,7,137,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,134.0,87.0,90.0,80.0,83.0 +7.0,2,3,15.0,58,5379592.0,57.0,2.0,86373.0,221.027,raikkonen,7.0,Finnish,ferrari,Italian,2018,1,Australian Grand Prix,18600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,40.0,1.0,1.0,83096.0,82507.0,81828.0,45,39,Sunny,1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,81828.0,83096.0,82477.0,27,12,187,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,186.0,90.0,88.0,92.0,90.0 +3.0,8,4,12.0,58,5380352.0,54.0,1.0,85945.0,222.128,ricciardo,3.0,Australian,red_bull,Austrian,2018,1,Australian Grand Prix,18600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,20.0,3.0,0.0,83494.0,82897.0,82152.0,35,29,Sunny,1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,82152.0,83494.0,82847.66666666667,22,7,130,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,133.0,90.0,90.0,81.0,84.0 +55.0,9,10,1.0,58,5419005.0,51.0,12.0,87944.0,217.079,sainz,55.0,Spanish,renault,French,2018,1,Australian Grand Prix,18600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,7.0,5.0,0.0,83529.0,83061.0,83577.0,30,24,Sunny,1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,83061.0,83577.0,83389.0,21,3,61,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +18.0,13,14,0.0,58,5451571.0,55.0,14.0,88511.0,215.688,stroll,18.0,Canadian,williams,British,2018,1,Australian Grand Prix,18600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,0.0,8.0,0.0,84464.0,84230.0,84230.0,26,20,Sunny,1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,84230.0,84464.0,84308.0,19,1,21,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +2.0,11,9,2.0,58,5408204.0,57.0,6.0,86958.0,219.54,vandoorne,2.0,Belgian,mclaren,British,2018,1,Australian Grand Prix,18600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,12.0,4.0,0.0,84073.0,83853.0,83853.0,32,26,Sunny,1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,83853.0,84073.0,83926.33333333333,24,2,22,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +5.0,3,1,25.0,58,5373283.0,53.0,4.0,86469.0,220.782,vettel,5.0,German,ferrari,Italian,2018,1,Australian Grand Prix,18600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,40.0,1.0,1.0,83348.0,81944.0,81838.0,37,31,Sunny,1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,81838.0,83348.0,82376.66666666667,20,11,200,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,200.0,86.0,85.0,88.0,86.0 +14.0,13,7,6.0,56,,47.0,4.0,94168.0,206.898,alonso,14.0,Spanish,mclaren,British,2018,2,Bahrain Grand Prix,54600000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,22.0,3.0,0.0,90530.0,90212.0,90212.0,43,37,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,90212.0,90530.0,90318.0,25,12,225,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,223.0,91.0,82.0,86.0,87.0 +77.0,3,2,18.0,57,5522639.0,22.0,1.0,93740.0,207.842,bottas,77.0,Finnish,mercedes,German,2018,2,Bahrain Grand Prix,54600000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,55.0,2.0,0.0,89275.0,88794.0,88124.0,35,29,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,88124.0,89275.0,88731.0,24,5,100,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,100.0,83.0,81.0,81.0,78.0 +28.0,11,17,0.0,56,,42.0,8.0,94563.0,206.034,brendon_hartley,28.0,New Zealander,toro_rosso,Italian,2018,2,Bahrain Grand Prix,54600000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,12.0,6.0,0.0,90412.0,90105.0,90105.0,35,29,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,90105.0,90412.0,90207.33333333331,28,1,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +9.0,17,9,2.0,56,,26.0,15.0,95093.0,204.885,ericsson,9.0,Swedish,sauber,Swiss,2018,2,Bahrain Grand Prix,54600000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,2.0,8.0,0.0,91063.0,91063.0,91063.0,34,28,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,91063.0,91063.0,91063.0,24,4,78,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +10.0,5,4,12.0,57,5584174.0,46.0,11.0,94863.0,205.382,gasly,10.0,French,toro_rosso,Italian,2018,2,Bahrain Grand Prix,54600000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,12.0,6.0,0.0,90121.0,89836.0,89329.0,28,22,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,89329.0,90121.0,89762.0,21,1,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +8.0,16,13,0.0,56,,44.0,10.0,94689.0,205.759,grosjean,8.0,French,haas,American,2018,2,Bahrain Grand Prix,54600000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,10.0,7.0,0.0,90530.0,90530.0,90530.0,38,32,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,90530.0,90530.0,90530.0,23,9,126,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,130.0,89.0,85.0,82.0,82.0 +44.0,9,3,15.0,57,5528452.0,51.0,2.0,93953.0,207.371,hamilton,44.0,British,mercedes,German,2018,2,Bahrain Grand Prix,54600000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,55.0,2.0,0.0,89396.0,88458.0,88220.0,39,33,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,88220.0,89396.0,88691.33333333333,22,11,210,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,210.0,88.0,85.0,90.0,88.0 +27.0,7,6,8.0,57,5620964.0,50.0,9.0,94667.0,205.807,hulkenberg,27.0,German,renault,French,2018,2,Bahrain Grand Prix,54600000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,15.0,5.0,0.0,90260.0,89187.0,89570.0,37,31,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,89187.0,90260.0,89672.33333333333,23,8,139,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,137.0,87.0,90.0,80.0,83.0 +20.0,6,5,10.0,57,5596986.0,29.0,5.0,94327.0,206.549,kevin_magnussen,20.0,Danish,haas,American,2018,2,Bahrain Grand Prix,54600000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,10.0,7.0,0.0,89594.0,89623.0,89358.0,32,26,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,89358.0,89623.0,89525.0,22,4,63,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +16.0,19,12,0.0,56,,35.0,14.0,95075.0,204.924,leclerc,16.0,Monegasque,sauber,Swiss,2018,2,Bahrain Grand Prix,54600000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,2.0,8.0,0.0,91420.0,91420.0,91420.0,27,21,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,91420.0,91420.0,91420.0,21,0,2,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +31.0,8,10,1.0,56,,38.0,12.0,95043.0,204.993,ocon,31.0,French,force_india,Indian,2018,2,Bahrain Grand Prix,54600000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,1.0,9.0,0.0,90338.0,90009.0,89874.0,28,22,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,89874.0,90338.0,90073.66666666669,20,2,31,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,12,16,0.0,56,,32.0,17.0,95266.0,204.513,perez,11.0,Mexican,force_india,Indian,2018,2,Bahrain Grand Prix,54600000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,1.0,9.0,0.0,90218.0,90156.0,90156.0,34,28,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,90156.0,90218.0,90176.66666666669,21,7,138,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,137.0,87.0,90.0,80.0,83.0 +55.0,10,11,0.0,56,,35.0,18.0,95535.0,203.937,sainz,55.0,Spanish,renault,French,2018,2,Bahrain Grand Prix,54600000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,15.0,5.0,0.0,89893.0,89802.0,89986.0,30,24,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,89802.0,89986.0,89893.66666666667,21,3,62,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +35.0,18,15,0.0,56,,47.0,3.0,94053.0,207.151,sirotkin,35.0,Russian,williams,British,2018,2,Bahrain Grand Prix,54600000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,0.0,10.0,0.0,91414.0,91414.0,91414.0,29,23,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,91414.0,91414.0,91414.0,23,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +18.0,20,14,0.0,56,,40.0,13.0,95058.0,204.961,stroll,18.0,Canadian,williams,British,2018,2,Bahrain Grand Prix,54600000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,0.0,10.0,0.0,91503.0,91503.0,91503.0,26,20,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,91503.0,91503.0,91503.0,19,1,22,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +2.0,14,8,4.0,56,,30.0,16.0,95131.0,204.803,vandoorne,2.0,Belgian,mclaren,British,2018,2,Bahrain Grand Prix,54600000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,22.0,3.0,0.0,90479.0,90525.0,90525.0,32,26,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,90479.0,90525.0,90509.66666666669,24,2,23,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +5.0,1,1,25.0,57,5521940.0,21.0,7.0,94453.0,206.274,vettel,5.0,German,ferrari,Italian,2018,2,Bahrain Grand Prix,54600000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,1.0,65.0,1.0,2.0,89060.0,88341.0,87958.0,37,31,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,87958.0,89060.0,88453.0,20,11,201,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,203.0,84.0,82.0,87.0,85.0 +14.0,13,7,6.0,56,5767019.0,56.0,7.0,97234.0,201.818,alonso,14.0,Spanish,mclaren,British,2018,3,Chinese Grand Prix,22200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,28.0,4.0,0.0,93428.0,93232.0,93232.0,43,37,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.451,56.0,305.066,93232.0,93428.0,93297.33333333331,25,12,226,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,223.0,91.0,82.0,86.0,87.0 +77.0,3,2,18.0,56,5745274.0,50.0,6.0,96987.0,202.332,bottas,77.0,Finnish,mercedes,German,2018,3,Chinese Grand Prix,22200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,85.0,1.0,0.0,92921.0,92063.0,91625.0,35,29,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.451,56.0,305.066,91625.0,92921.0,92203.0,24,5,101,1,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,100.0,83.0,81.0,81.0,78.0 +9.0,20,16,0.0,56,5798984.0,52.0,16.0,98386.0,199.455,ericsson,9.0,Swedish,sauber,Swiss,2018,3,Chinese Grand Prix,22200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,2.0,8.0,0.0,94914.0,94914.0,94914.0,34,28,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.451,56.0,305.066,94914.0,94914.0,94914.0,24,4,79,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +10.0,17,18,0.0,56,5802710.0,54.0,15.0,98367.0,199.493,gasly,10.0,French,toro_rosso,Italian,2018,3,Chinese Grand Prix,22200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,12.0,6.0,0.0,94101.0,94101.0,94101.0,28,22,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.451,56.0,305.066,94101.0,94101.0,94101.0,21,1,8,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +8.0,10,17,0.0,56,5801676.0,51.0,8.0,97410.0,201.453,grosjean,8.0,French,haas,American,2018,3,Chinese Grand Prix,22200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,11.0,7.0,0.0,93238.0,92524.0,92855.0,38,32,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.451,56.0,305.066,92524.0,93238.0,92872.33333333331,23,9,127,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,130.0,89.0,85.0,82.0,82.0 +44.0,4,4,12.0,56,5753365.0,20.0,4.0,96878.0,202.559,hamilton,44.0,British,mercedes,German,2018,3,Chinese Grand Prix,22200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,85.0,1.0,0.0,93283.0,91914.0,91675.0,39,33,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.451,56.0,305.066,91675.0,93283.0,92290.66666666669,22,11,211,2,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,210.0,88.0,85.0,90.0,88.0 +27.0,7,6,8.0,56,5757432.0,56.0,5.0,96881.0,202.553,hulkenberg,27.0,German,renault,French,2018,3,Chinese Grand Prix,22200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,25.0,5.0,0.0,93545.0,92494.0,92532.0,37,31,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.451,56.0,305.066,92494.0,93545.0,92857.0,23,8,140,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,139.0,90.0,87.0,80.0,83.0 +20.0,11,10,1.0,56,5775974.0,54.0,14.0,98152.0,199.93,kevin_magnussen,20.0,Danish,haas,American,2018,3,Chinese Grand Prix,22200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,11.0,7.0,0.0,93359.0,92986.0,92986.0,32,26,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.451,56.0,305.066,92986.0,93359.0,93110.33333333331,22,4,64,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +16.0,19,19,0.0,56,5818955.0,23.0,19.0,98808.0,198.603,leclerc,16.0,Monegasque,sauber,Swiss,2018,3,Chinese Grand Prix,22200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,2.0,8.0,0.0,94454.0,94454.0,94454.0,27,21,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.451,56.0,305.066,94454.0,94454.0,94454.0,21,0,3,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +33.0,5,5,10.0,56,5756816.0,50.0,2.0,96206.0,203.974,max_verstappen,33.0,Dutch,red_bull,Austrian,2018,3,Chinese Grand Prix,22200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,55.0,3.0,1.0,92932.0,92809.0,91796.0,27,21,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.451,56.0,305.066,91796.0,92932.0,92512.33333333331,18,3,63,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +31.0,12,11,0.0,56,5780430.0,47.0,12.0,97985.0,200.271,ocon,31.0,French,force_india,Indian,2018,3,Chinese Grand Prix,22200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,1.0,9.0,0.0,93585.0,93057.0,93057.0,28,22,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.451,56.0,305.066,93057.0,93585.0,93233.0,20,2,32,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,8,12,0.0,56,5781105.0,54.0,10.0,97673.0,200.911,perez,11.0,Mexican,force_india,Indian,2018,3,Chinese Grand Prix,22200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,1.0,9.0,0.0,93464.0,92931.0,92758.0,34,28,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.451,56.0,305.066,92758.0,93464.0,93051.0,21,7,139,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,137.0,87.0,90.0,80.0,83.0 +7.0,2,3,15.0,56,5746017.0,48.0,3.0,96456.0,203.446,raikkonen,7.0,Finnish,ferrari,Italian,2018,3,Chinese Grand Prix,22200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,84.0,2.0,2.0,92474.0,92286.0,91182.0,45,39,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.451,56.0,305.066,91182.0,92474.0,91980.66666666669,27,12,189,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,186.0,90.0,88.0,92.0,90.0 +3.0,6,1,25.0,56,5736380.0,55.0,1.0,95785.0,204.871,ricciardo,3.0,Australian,red_bull,Austrian,2018,3,Chinese Grand Prix,22200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,55.0,3.0,1.0,93877.0,92688.0,91948.0,35,29,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.451,56.0,305.066,91948.0,93877.0,92837.66666666669,22,7,132,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,133.0,90.0,90.0,81.0,84.0 +55.0,9,9,2.0,56,5772143.0,54.0,11.0,97754.0,200.744,sainz,55.0,Spanish,renault,French,2018,3,Chinese Grand Prix,22200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,25.0,5.0,0.0,93315.0,92970.0,92819.0,30,24,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.451,56.0,305.066,92819.0,93315.0,93034.66666666669,21,3,63,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +35.0,16,15,0.0,56,5794621.0,47.0,18.0,98624.0,198.973,sirotkin,35.0,Russian,williams,British,2018,3,Chinese Grand Prix,22200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,0.0,10.0,0.0,94062.0,94062.0,94062.0,29,23,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.451,56.0,305.066,94062.0,94062.0,94062.0,23,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +18.0,18,14,0.0,56,5791870.0,54.0,17.0,98500.0,199.224,stroll,18.0,Canadian,williams,British,2018,3,Chinese Grand Prix,22200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,0.0,10.0,0.0,94285.0,94285.0,94285.0,26,20,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.451,56.0,305.066,94285.0,94285.0,94285.0,19,1,23,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +2.0,14,13,0.0,56,5785753.0,54.0,13.0,98137.0,199.961,vandoorne,2.0,Belgian,mclaren,British,2018,3,Chinese Grand Prix,22200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,28.0,4.0,0.0,93824.0,93505.0,93505.0,32,26,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.451,56.0,305.066,93505.0,93824.0,93611.33333333331,24,2,24,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +5.0,1,8,4.0,56,5771666.0,24.0,9.0,97479.0,201.311,vettel,5.0,German,ferrari,Italian,2018,3,Chinese Grand Prix,22200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,2.0,84.0,2.0,2.0,92171.0,92385.0,91095.0,37,31,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.451,56.0,305.066,91095.0,92385.0,91883.66666666669,20,11,202,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,203.0,84.0,82.0,87.0,85.0 +14.0,12,7,6.0,51,6235222.0,32.0,12.0,107449.0,201.126,alonso,14.0,Spanish,mclaren,British,2018,4,Azerbaijan Grand Prix,43800000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,36.0,4.0,0.0,104010.0,104019.0,104019.0,43,37,Cloudy,0,0,0,0,1,Street circuit,Anti-clockwise,6.003,51.0,306.049,104010.0,104019.0,104016.0,25,12,227,0,0,0,0,1,0,2,0,0,0,0,0,0,0,0,0,0,0,227.0,89.0,82.0,84.0,85.0 +28.0,19,10,1.0,51,6242321.0,51.0,17.0,108288.0,199.567,brendon_hartley,28.0,New Zealander,toro_rosso,Italian,2018,4,Azerbaijan Grand Prix,43800000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,13.0,7.0,0.0,117354.0,117354.0,117354.0,35,29,Cloudy,0,0,0,0,1,Street circuit,Anti-clockwise,6.003,51.0,306.049,117354.0,117354.0,117354.0,28,1,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,58.0,72.0,78.0,73.0,72.0 +9.0,18,11,0.0,51,6242803.0,51.0,14.0,107925.0,200.239,ericsson,9.0,Swedish,sauber,Swiss,2018,4,Azerbaijan Grand Prix,43800000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,10.0,9.0,0.0,105541.0,105541.0,105541.0,34,28,Cloudy,0,0,0,0,1,Street circuit,Anti-clockwise,6.003,51.0,306.049,105541.0,105541.0,105541.0,24,4,80,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,77.0,76.0,76.0,70.0,71.0 +10.0,17,12,0.0,51,6249011.0,38.0,15.0,108035.0,200.035,gasly,10.0,French,toro_rosso,Italian,2018,4,Azerbaijan Grand Prix,43800000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,13.0,7.0,0.0,104496.0,104496.0,104496.0,28,22,Cloudy,0,0,0,0,1,Street circuit,Anti-clockwise,6.003,51.0,306.049,104496.0,104496.0,104496.0,21,1,9,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,2,58.0,72.0,78.0,73.0,72.0 +44.0,2,1,25.0,51,6224291.0,35.0,2.0,105412.0,205.012,hamilton,44.0,British,mercedes,German,2018,4,Azerbaijan Grand Prix,43800000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,110.0,2.0,1.0,102693.0,102676.0,101677.0,39,33,Cloudy,0,0,0,0,1,Street circuit,Anti-clockwise,6.003,51.0,306.049,101677.0,102693.0,102348.66666666669,22,11,212,2,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,214.0,90.0,82.0,90.0,88.0 +20.0,15,13,0.0,51,6264954.0,35.0,16.0,108155.0,199.813,kevin_magnussen,20.0,Danish,haas,American,2018,4,Azerbaijan Grand Prix,43800000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,11.0,8.0,0.0,103674.0,104759.0,104759.0,32,26,Cloudy,0,0,0,0,1,Street circuit,Anti-clockwise,6.003,51.0,306.049,103674.0,104759.0,104397.33333333331,22,4,65,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +16.0,13,6,8.0,51,6233449.0,31.0,11.0,107403.0,201.212,leclerc,16.0,Monegasque,sauber,Swiss,2018,4,Azerbaijan Grand Prix,43800000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,10.0,9.0,0.0,103752.0,104074.0,104074.0,27,21,Cloudy,0,0,0,0,1,Street circuit,Anti-clockwise,6.003,51.0,306.049,103752.0,104074.0,103966.66666666669,21,0,4,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,8,3,15.0,51,6228315.0,51.0,6.0,106206.0,203.48,perez,11.0,Mexican,force_india,Indian,2018,4,Azerbaijan Grand Prix,43800000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,16.0,6.0,0.0,103992.0,103366.0,102547.0,34,28,Cloudy,0,0,0,0,1,Street circuit,Anti-clockwise,6.003,51.0,306.049,102547.0,103992.0,103301.66666666669,21,7,140,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,1,0,0,139.0,90.0,87.0,80.0,83.0 +7.0,6,2,18.0,51,6226751.0,50.0,7.0,106523.0,202.874,raikkonen,7.0,Finnish,ferrari,Italian,2018,4,Azerbaijan Grand Prix,43800000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,114.0,1.0,2.0,102538.0,102510.0,102490.0,45,39,Cloudy,0,0,0,0,1,Street circuit,Anti-clockwise,6.003,51.0,306.049,102490.0,102538.0,102512.66666666669,27,12,190,2,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,191.0,86.0,84.0,88.0,86.0 +55.0,9,5,10.0,51,6231806.0,50.0,9.0,106856.0,202.242,sainz,55.0,Spanish,renault,French,2018,4,Azerbaijan Grand Prix,43800000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,35.0,5.0,0.0,103426.0,103464.0,103351.0,30,24,Cloudy,0,0,0,0,1,Street circuit,Anti-clockwise,6.003,51.0,306.049,103351.0,103464.0,103413.66666666669,21,3,64,0,0,0,0,0,0,0,0,1,1,1,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +18.0,10,8,4.0,51,6236837.0,50.0,8.0,106815.0,202.319,stroll,18.0,Canadian,williams,British,2018,4,Azerbaijan Grand Prix,43800000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,4.0,10.0,0.0,104359.0,103585.0,103585.0,26,20,Cloudy,0,0,0,0,1,Street circuit,Anti-clockwise,6.003,51.0,306.049,103585.0,104359.0,103843.0,19,1,24,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +2.0,16,9,2.0,51,6238443.0,50.0,13.0,107666.0,200.72,vandoorne,2.0,Belgian,mclaren,British,2018,4,Azerbaijan Grand Prix,43800000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,36.0,4.0,0.0,104489.0,104489.0,104489.0,32,26,Cloudy,0,0,0,0,1,Street circuit,Anti-clockwise,6.003,51.0,306.049,104489.0,104489.0,104489.0,24,2,25,0,0,0,0,0,0,0,1,1,0,0,0,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +5.0,1,4,12.0,51,6229620.0,38.0,4.0,105530.0,204.783,vettel,5.0,German,ferrari,Italian,2018,4,Azerbaijan Grand Prix,43800000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,2.0,114.0,1.0,2.0,102762.0,103015.0,101498.0,37,31,Cloudy,0,0,0,0,1,Street circuit,Anti-clockwise,6.003,51.0,306.049,101498.0,103015.0,102425.0,20,11,203,2,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,207.0,83.0,82.0,86.0,84.0 +14.0,8,8,4.0,65,,64.0,7.0,80727.0,207.588,alonso,14.0,Spanish,mclaren,British,2018,5,Spanish Grand Prix,47400000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,40.0,5.0,0.0,78276.0,78100.0,77721.0,43,37,"Partially cloudy and dry, 16°C and cold.",0,1,1,0,1,Race circuit,Clockwise,4.657,66.0,307.236,77721.0,78276.0,78032.33333333333,25,12,228,0,0,0,0,1,0,3,0,0,0,0,0,0,0,0,0,0,0,227.0,89.0,82.0,84.0,85.0 +77.0,2,2,18.0,66,5750565.0,56.0,5.0,79478.0,210.85,bottas,77.0,Finnish,mercedes,German,2018,5,Spanish Grand Prix,47400000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,153.0,1.0,2.0,77674.0,77111.0,76213.0,35,29,"Partially cloudy and dry, 16°C and cold.",0,1,1,0,1,Race circuit,Clockwise,4.657,66.0,307.236,76213.0,77674.0,76999.33333333333,24,5,103,2,2,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,102.0,87.0,81.0,81.0,79.0 +28.0,20,12,0.0,64,,63.0,10.0,81439.0,205.773,brendon_hartley,28.0,New Zealander,toro_rosso,Italian,2018,5,Spanish Grand Prix,47400000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+2 Laps,0.0,13.0,8.0,0.0,80225.0,80225.0,80225.0,35,29,"Partially cloudy and dry, 16°C and cold.",0,1,1,0,1,Race circuit,Clockwise,4.657,66.0,307.236,80225.0,80225.0,80225.0,28,1,9,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,1,0,58.0,72.0,78.0,73.0,72.0 +9.0,17,13,0.0,64,,50.0,15.0,82487.0,203.159,ericsson,9.0,Swedish,sauber,Swiss,2018,5,Spanish Grand Prix,47400000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+2 Laps,0.0,11.0,9.0,0.0,79493.0,79493.0,79493.0,34,28,"Partially cloudy and dry, 16°C and cold.",0,1,1,0,1,Race circuit,Clockwise,4.657,66.0,307.236,79493.0,79493.0,79493.0,24,4,81,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,1,0,0,77.0,76.0,76.0,70.0,71.0 +44.0,1,1,25.0,66,5729972.0,64.0,3.0,79133.0,211.77,hamilton,44.0,British,mercedes,German,2018,5,Spanish Grand Prix,47400000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,1.0,153.0,1.0,2.0,77633.0,77166.0,76173.0,39,33,"Partially cloudy and dry, 16°C and cold.",0,1,1,0,1,Race circuit,Clockwise,4.657,66.0,307.236,76173.0,77633.0,76990.66666666667,22,11,213,3,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,214.0,90.0,82.0,90.0,88.0 +20.0,7,6,8.0,65,,64.0,6.0,80246.0,208.832,kevin_magnussen,20.0,Danish,haas,American,2018,5,Spanish Grand Prix,47400000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,19.0,6.0,0.0,78169.0,77618.0,77676.0,32,26,"Partially cloudy and dry, 16°C and cold.",0,1,1,0,1,Race circuit,Clockwise,4.657,66.0,307.236,77618.0,78169.0,77821.0,22,4,66,0,0,0,0,1,0,0,0,0,1,0,0,1,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +16.0,14,10,1.0,64,,51.0,14.0,82122.0,204.062,leclerc,16.0,Monegasque,sauber,Swiss,2018,5,Spanish Grand Prix,47400000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+2 Laps,0.0,11.0,9.0,0.0,78661.0,78910.0,78910.0,27,21,"Partially cloudy and dry, 16°C and cold.",0,1,1,0,1,Race circuit,Clockwise,4.657,66.0,307.236,78661.0,78910.0,78827.0,21,0,5,0,0,0,0,0,1,0,0,0,0,0,1,1,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +33.0,5,3,15.0,66,5756845.0,62.0,4.0,79422.0,210.999,max_verstappen,33.0,Dutch,red_bull,Austrian,2018,5,Spanish Grand Prix,47400000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,80.0,3.0,1.0,77411.0,77266.0,76816.0,27,21,"Partially cloudy and dry, 16°C and cold.",0,1,1,0,1,Race circuit,Clockwise,4.657,66.0,307.236,76816.0,77411.0,77164.33333333333,18,3,65,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +11.0,15,9,2.0,64,,43.0,8.0,81128.0,206.562,perez,11.0,Mexican,force_india,Indian,2018,5,Spanish Grand Prix,47400000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+2 Laps,0.0,18.0,7.0,0.0,78740.0,79098.0,79098.0,34,28,"Partially cloudy and dry, 16°C and cold.",0,1,1,0,1,Race circuit,Clockwise,4.657,66.0,307.236,78740.0,79098.0,78978.66666666667,21,7,141,1,0,1,0,0,0,0,0,0,0,1,1,0,0,0,1,0,0,141.0,89.0,85.0,83.0,83.0 +3.0,6,5,10.0,66,5780030.0,61.0,1.0,78441.0,213.638,ricciardo,3.0,Australian,red_bull,Austrian,2018,5,Spanish Grand Prix,47400000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,1.0,80.0,3.0,1.0,77623.0,77638.0,76818.0,35,29,"Partially cloudy and dry, 16°C and cold.",0,1,1,0,1,Race circuit,Clockwise,4.657,66.0,307.236,76818.0,77638.0,77359.66666666667,22,7,134,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,134.0,87.0,90.0,80.0,83.0 +55.0,9,7,6.0,65,,61.0,9.0,81324.0,206.064,sainz,55.0,Spanish,renault,French,2018,5,Spanish Grand Prix,47400000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,41.0,4.0,0.0,78480.0,77803.0,77790.0,30,24,"Partially cloudy and dry, 16°C and cold.",0,1,1,0,1,Race circuit,Clockwise,4.657,66.0,307.236,77790.0,78480.0,78024.33333333333,21,3,65,0,0,0,0,1,0,0,0,1,1,1,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +35.0,19,14,0.0,63,,57.0,17.0,82680.0,202.685,sirotkin,35.0,Russian,williams,British,2018,5,Spanish Grand Prix,47400000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+3 Laps,0.0,4.0,10.0,0.0,79695.0,79695.0,79695.0,29,23,"Partially cloudy and dry, 16°C and cold.",0,1,1,0,1,Race circuit,Clockwise,4.657,66.0,307.236,79695.0,79695.0,79695.0,23,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,58.0,72.0,78.0,73.0,72.0 +18.0,18,11,0.0,64,,60.0,12.0,82095.0,204.129,stroll,18.0,Canadian,williams,British,2018,5,Spanish Grand Prix,47400000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+2 Laps,0.0,4.0,10.0,0.0,80225.0,80225.0,80225.0,26,20,"Partially cloudy and dry, 16°C and cold.",0,1,1,0,1,Race circuit,Clockwise,4.657,66.0,307.236,80225.0,80225.0,80225.0,19,1,25,0,0,0,0,0,0,0,1,0,0,0,0,0,3,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +5.0,3,4,12.0,66,5757556.0,61.0,2.0,79128.0,211.783,vettel,5.0,German,ferrari,Italian,2018,5,Spanish Grand Prix,47400000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,2.0,126.0,2.0,2.0,77031.0,76802.0,76305.0,37,31,"Partially cloudy and dry, 16°C and cold.",0,1,1,0,1,Race circuit,Clockwise,4.657,66.0,307.236,76305.0,77031.0,76712.66666666667,20,11,204,2,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,207.0,83.0,82.0,86.0,84.0 +77.0,5,5,10.0,78,6193629.0,21.0,9.0,76312.0,157.422,bottas,77.0,Finnish,mercedes,German,2018,6,Monaco Grand Prix,47400000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,178.0,1.0,2.0,72434.0,72002.0,71441.0,35,29,Sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,71441.0,72434.0,71959.0,24,5,104,3,3,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,107.0,80.0,80.0,79.0,78.0 +9.0,16,11,0.0,78,6244671.0,19.0,12.0,76936.0,156.145,ericsson,9.0,Swedish,sauber,Swiss,2018,6,Monaco Grand Prix,47400000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,11.0,9.0,0.0,73265.0,73265.0,73265.0,34,28,Sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,73265.0,73265.0,73265.0,24,4,82,0,0,0,0,0,0,0,0,1,0,1,0,1,0,0,1,0,0,77.0,76.0,76.0,70.0,71.0 +10.0,10,7,6.0,78,6199138.0,68.0,15.0,77099.0,155.815,gasly,10.0,French,toro_rosso,Italian,2018,6,Monaco Grand Prix,47400000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,19.0,7.0,0.0,72941.0,72313.0,72221.0,28,22,Sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,72221.0,72941.0,72491.66666666667,21,1,11,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,2,58.0,72.0,78.0,73.0,72.0 +8.0,18,15,0.0,77,,74.0,2.0,74822.0,160.557,grosjean,8.0,French,haas,American,2018,6,Monaco Grand Prix,47400000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,19.0,8.0,0.0,72930.0,72728.0,72728.0,38,32,Sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,72728.0,72930.0,72795.33333333333,23,9,130,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,1,1,1,133.0,90.0,90.0,81.0,84.0 +44.0,3,3,15.0,78,6191820.0,15.0,8.0,76270.0,157.508,hamilton,44.0,British,mercedes,German,2018,6,Monaco Grand Prix,47400000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,2.0,178.0,1.0,2.0,72460.0,71584.0,71232.0,39,33,Sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,71232.0,72460.0,71758.66666666667,22,11,214,4,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,214.0,90.0,82.0,90.0,88.0 +27.0,11,8,4.0,78,6199646.0,57.0,6.0,76061.0,157.941,hulkenberg,27.0,German,renault,French,2018,6,Monaco Grand Prix,47400000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,46.0,4.0,0.0,73065.0,72411.0,72411.0,37,31,Sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,72411.0,73065.0,72629.0,23,8,143,0,0,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,1,147.0,88.0,80.0,84.0,83.0 +20.0,19,13,0.0,78,6249630.0,20.0,17.0,77476.0,155.057,kevin_magnussen,20.0,Danish,haas,American,2018,6,Monaco Grand Prix,47400000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,19.0,8.0,0.0,73393.0,73393.0,73393.0,32,26,Sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,73393.0,73393.0,73393.0,22,4,67,0,0,0,0,1,1,0,0,0,1,0,0,1,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +33.0,20,9,2.0,78,6200124.0,60.0,1.0,74260.0,161.772,max_verstappen,33.0,Dutch,red_bull,Austrian,2018,6,Monaco Grand Prix,47400000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,107.0,3.0,2.0,73393.0,73393.0,73393.0,27,21,Sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,73393.0,73393.0,73393.0,18,3,66,1,0,1,0,1,1,0,0,0,0,0,0,0,0,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +31.0,6,6,8.0,78,6198474.0,63.0,14.0,77027.0,155.96,ocon,31.0,French,force_india,Indian,2018,6,Monaco Grand Prix,47400000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,26.0,6.0,0.0,73028.0,72188.0,72061.0,28,22,Sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,72061.0,73028.0,72425.66666666667,20,2,35,0,0,0,0,0,0,0,0,0,1,1,1,0,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,9,12,0.0,78,6245268.0,24.0,19.0,77546.0,154.917,perez,11.0,Mexican,force_india,Indian,2018,6,Monaco Grand Prix,47400000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,26.0,6.0,0.0,72848.0,72194.0,72154.0,34,28,Sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,72154.0,72848.0,72398.66666666667,21,7,142,1,0,1,0,0,0,0,0,1,0,1,1,0,0,0,1,0,0,141.0,89.0,85.0,83.0,83.0 +7.0,4,4,12.0,78,6192934.0,13.0,10.0,76392.0,157.257,raikkonen,7.0,Finnish,ferrari,Italian,2018,6,Monaco Grand Prix,47400000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,156.0,2.0,2.0,72639.0,71391.0,71266.0,45,39,Sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,71266.0,72639.0,71765.33333333333,27,12,192,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,191.0,86.0,84.0,88.0,86.0 +3.0,1,1,25.0,78,6174807.0,13.0,5.0,75562.0,158.984,ricciardo,3.0,Australian,red_bull,Austrian,2018,6,Monaco Grand Prix,47400000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,1.0,107.0,3.0,2.0,72013.0,71278.0,70810.0,35,29,Sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,70810.0,72013.0,71367.0,22,7,135,1,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,134.0,87.0,90.0,80.0,83.0 +55.0,8,10,1.0,78,6243820.0,19.0,18.0,77491.0,155.027,sainz,55.0,Spanish,renault,French,2018,6,Monaco Grand Prix,47400000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,46.0,4.0,0.0,72950.0,72286.0,72130.0,30,24,Sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,72130.0,72950.0,72455.33333333333,21,3,66,0,0,0,0,1,0,1,0,1,1,1,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +35.0,13,16,0.0,77,,75.0,4.0,75325.0,159.484,sirotkin,35.0,Russian,williams,British,2018,6,Monaco Grand Prix,47400000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,4.0,10.0,0.0,72706.0,72521.0,72521.0,29,23,Sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,72521.0,72706.0,72582.66666666667,23,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,0,0,0,58.0,72.0,78.0,73.0,72.0 +18.0,17,17,0.0,76,,61.0,3.0,74944.0,160.295,stroll,18.0,Canadian,williams,British,2018,6,Monaco Grand Prix,47400000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+2 Laps,0.0,4.0,10.0,0.0,73323.0,73323.0,73323.0,26,20,Sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,73323.0,73323.0,73323.0,19,1,26,0,0,0,0,0,0,0,1,0,0,1,0,0,3,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +2.0,12,14,0.0,77,,76.0,11.0,76864.0,156.291,vandoorne,2.0,Belgian,mclaren,British,2018,6,Monaco Grand Prix,47400000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,40.0,5.0,0.0,72463.0,72440.0,72440.0,32,26,Sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,72440.0,72463.0,72447.66666666667,24,2,27,0,0,0,0,0,0,0,1,2,0,0,0,1,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +5.0,2,2,18.0,78,6182143.0,14.0,7.0,76065.0,157.933,vettel,5.0,German,ferrari,Italian,2018,6,Monaco Grand Prix,47400000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,2.0,156.0,2.0,2.0,72415.0,71518.0,71039.0,37,31,Sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,71039.0,72415.0,71657.33333333333,20,11,205,2,0,0,2,0,0,0,1,0,0,0,0,0,0,0,0,0,0,207.0,83.0,82.0,86.0,84.0 +77.0,2,2,18.0,68,5318753.0,51.0,3.0,73992.0,212.179,bottas,77.0,Finnish,mercedes,German,2018,7,Canadian Grand Prix,65400000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,206.0,1.0,2.0,71950.0,71514.0,70857.0,35,29,Temperatures reaching up to 22.7 °C (72.9 °F); with wind speeds reaching 11.1 kilometres per hour (6.9 mph)[2],0,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,70857.0,71950.0,71440.33333333333,24,5,105,3,3,0,0,1,0,0,1,0,0,0,0,0,1,0,0,0,0,107.0,80.0,80.0,79.0,78.0 +9.0,19,15,0.0,66,,62.0,18.0,76403.0,205.484,ericsson,9.0,Swedish,sauber,Swiss,2018,7,Canadian Grand Prix,65400000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+2 Laps,0.0,12.0,9.0,0.0,74593.0,74593.0,74593.0,34,28,Temperatures reaching up to 22.7 °C (72.9 °F); with wind speeds reaching 11.1 kilometres per hour (6.9 mph)[2],0,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,74593.0,74593.0,74593.0,24,4,83,0,0,0,0,0,0,0,0,1,0,2,0,1,0,0,1,0,0,77.0,76.0,76.0,70.0,71.0 +10.0,16,11,0.0,67,,67.0,14.0,75699.0,207.395,gasly,10.0,French,toro_rosso,Italian,2018,7,Canadian Grand Prix,65400000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,19.0,7.0,0.0,73047.0,73047.0,73047.0,28,22,Temperatures reaching up to 22.7 °C (72.9 °F); with wind speeds reaching 11.1 kilometres per hour (6.9 mph)[2],0,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,73047.0,73047.0,73047.0,21,1,12,0,0,0,1,0,0,1,0,0,0,0,1,0,0,0,0,0,2,58.0,72.0,78.0,73.0,72.0 +8.0,20,12,0.0,67,,56.0,9.0,75470.0,208.024,grosjean,8.0,French,haas,American,2018,7,Canadian Grand Prix,65400000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,19.0,8.0,0.0,74593.0,74593.0,74593.0,38,32,Temperatures reaching up to 22.7 °C (72.9 °F); with wind speeds reaching 11.1 kilometres per hour (6.9 mph)[2],0,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,74593.0,74593.0,74593.0,23,9,131,0,0,0,0,0,0,0,0,0,0,0,0,1,0,2,1,1,1,133.0,90.0,90.0,81.0,84.0 +44.0,4,5,10.0,68,5332936.0,66.0,6.0,74183.0,211.633,hamilton,44.0,British,mercedes,German,2018,7,Canadian Grand Prix,65400000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,2.0,206.0,1.0,2.0,71835.0,71740.0,70996.0,39,33,Temperatures reaching up to 22.7 °C (72.9 °F); with wind speeds reaching 11.1 kilometres per hour (6.9 mph)[2],0,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,70996.0,71835.0,71523.66666666667,22,11,215,5,1,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,215.0,89.0,83.0,90.0,88.0 +27.0,7,7,6.0,67,,64.0,11.0,75588.0,207.699,hulkenberg,27.0,German,renault,French,2018,7,Canadian Grand Prix,65400000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,56.0,4.0,0.0,72795.0,71916.0,71973.0,37,31,Temperatures reaching up to 22.7 °C (72.9 °F); with wind speeds reaching 11.1 kilometres per hour (6.9 mph)[2],0,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,71916.0,72795.0,72228.0,23,8,144,0,0,0,0,0,2,1,1,0,0,0,0,0,0,0,0,0,1,147.0,88.0,80.0,84.0,83.0 +20.0,11,13,0.0,67,,65.0,8.0,75401.0,208.214,kevin_magnussen,20.0,Danish,haas,American,2018,7,Canadian Grand Prix,65400000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,19.0,8.0,0.0,72680.0,72606.0,72606.0,32,26,Temperatures reaching up to 22.7 °C (72.9 °F); with wind speeds reaching 11.1 kilometres per hour (6.9 mph)[2],0,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,72606.0,72680.0,72630.66666666667,22,4,68,0,0,0,0,1,1,0,0,0,1,0,0,2,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +16.0,13,10,1.0,67,,65.0,10.0,75480.0,207.996,leclerc,16.0,Monegasque,sauber,Swiss,2018,7,Canadian Grand Prix,65400000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,12.0,9.0,0.0,72945.0,72661.0,72661.0,27,21,Temperatures reaching up to 22.7 °C (72.9 °F); with wind speeds reaching 11.1 kilometres per hour (6.9 mph)[2],0,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,72661.0,72945.0,72755.66666666667,21,0,7,0,0,0,0,0,1,0,0,0,1,0,1,1,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +33.0,3,3,15.0,68,5319737.0,65.0,1.0,73864.0,212.547,max_verstappen,33.0,Dutch,red_bull,Austrian,2018,7,Canadian Grand Prix,65400000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,134.0,3.0,2.0,72008.0,71472.0,70937.0,27,21,Temperatures reaching up to 22.7 °C (72.9 °F); with wind speeds reaching 11.1 kilometres per hour (6.9 mph)[2],0,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,70937.0,72008.0,71472.33333333333,18,3,67,1,0,1,0,1,1,0,0,1,0,0,0,0,0,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +31.0,8,9,2.0,67,,61.0,12.0,75610.0,207.639,ocon,31.0,French,force_india,Indian,2018,7,Canadian Grand Prix,65400000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,28.0,6.0,0.0,72577.0,72141.0,72084.0,28,22,Temperatures reaching up to 22.7 °C (72.9 °F); with wind speeds reaching 11.1 kilometres per hour (6.9 mph)[2],0,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,72084.0,72577.0,72267.33333333333,20,2,36,0,0,0,0,0,1,0,0,0,1,1,1,0,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,10,14,0.0,67,,64.0,7.0,75100.0,209.049,perez,11.0,Mexican,force_india,Indian,2018,7,Canadian Grand Prix,65400000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,28.0,6.0,0.0,72702.0,72395.0,72671.0,34,28,Temperatures reaching up to 22.7 °C (72.9 °F); with wind speeds reaching 11.1 kilometres per hour (6.9 mph)[2],0,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,72395.0,72702.0,72589.33333333333,21,7,143,1,0,1,0,0,0,0,0,1,0,1,2,0,0,0,1,0,0,147.0,88.0,80.0,84.0,83.0 +7.0,5,6,8.0,68,5338561.0,59.0,4.0,74075.0,211.941,raikkonen,7.0,Finnish,ferrari,Italian,2018,7,Canadian Grand Prix,65400000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,189.0,2.0,3.0,71725.0,71620.0,71095.0,45,39,Temperatures reaching up to 22.7 °C (72.9 °F); with wind speeds reaching 11.1 kilometres per hour (6.9 mph)[2],0,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,71095.0,71725.0,71480.0,27,12,193,3,1,2,1,0,0,0,0,0,0,0,0,0,0,0,0,1,1,197.0,86.0,85.0,88.0,86.0 +3.0,6,4,12.0,68,5332269.0,59.0,5.0,74159.0,211.701,ricciardo,3.0,Australian,red_bull,Austrian,2018,7,Canadian Grand Prix,65400000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,2.0,134.0,3.0,2.0,72459.0,71434.0,71116.0,35,29,Temperatures reaching up to 22.7 °C (72.9 °F); with wind speeds reaching 11.1 kilometres per hour (6.9 mph)[2],0,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,71116.0,72459.0,71669.66666666667,22,7,136,2,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,134.0,87.0,90.0,80.0,83.0 +55.0,9,8,4.0,67,,61.0,13.0,75666.0,207.485,sainz,55.0,Spanish,renault,French,2018,7,Canadian Grand Prix,65400000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,56.0,4.0,0.0,72689.0,72097.0,72168.0,30,24,Temperatures reaching up to 22.7 °C (72.9 °F); with wind speeds reaching 11.1 kilometres per hour (6.9 mph)[2],0,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,72097.0,72689.0,72318.0,21,3,67,0,0,0,0,1,0,1,0,1,2,1,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +35.0,18,17,0.0,66,,53.0,16.0,75924.0,206.78,sirotkin,35.0,Russian,williams,British,2018,7,Canadian Grand Prix,65400000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+2 Laps,0.0,4.0,10.0,0.0,73643.0,73643.0,73643.0,29,23,Temperatures reaching up to 22.7 °C (72.9 °F); with wind speeds reaching 11.1 kilometres per hour (6.9 mph)[2],0,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,73643.0,73643.0,73643.0,23,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,1,0,0,58.0,72.0,78.0,73.0,72.0 +2.0,15,16,0.0,66,,55.0,15.0,75765.0,207.214,vandoorne,2.0,Belgian,mclaren,British,2018,7,Canadian Grand Prix,65400000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+2 Laps,0.0,40.0,5.0,0.0,72998.0,72865.0,72865.0,32,26,Temperatures reaching up to 22.7 °C (72.9 °F); with wind speeds reaching 11.1 kilometres per hour (6.9 mph)[2],0,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,72865.0,72998.0,72909.33333333333,24,2,28,0,0,0,0,0,0,0,1,2,0,0,0,1,1,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +5.0,1,1,25.0,68,5311377.0,57.0,2.0,73964.0,212.26,vettel,5.0,German,ferrari,Italian,2018,7,Canadian Grand Prix,65400000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,2.0,189.0,2.0,3.0,71710.0,71524.0,70764.0,37,31,Temperatures reaching up to 22.7 °C (72.9 °F); with wind speeds reaching 11.1 kilometres per hour (6.9 mph)[2],0,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,70764.0,71710.0,71332.66666666667,20,11,206,3,1,0,2,0,0,0,1,0,0,0,0,0,0,0,0,0,0,207.0,83.0,82.0,86.0,84.0 +77.0,2,7,6.0,53,5492017.0,41.0,1.0,94225.0,223.201,bottas,77.0,Finnish,mercedes,German,2018,8,French Grand Prix,51000000.0,ricard,Le Castellet,France,43.2506,5.79167,432.0,Finished,0.0,237.0,1.0,3.0,91776.0,91227.0,90147.0,35,29,"Partially cloudy, warm and dry",1,0,1,0,1,Race circuit,Clockwise,5.842,53.0,309.626,90147.0,91776.0,91050.0,24,5,106,4,4,0,0,1,0,0,1,0,0,0,0,0,1,0,0,0,0,107.0,80.0,80.0,79.0,78.0 +28.0,20,14,0.0,52,,40.0,15.0,96839.0,217.176,brendon_hartley,28.0,New Zealander,toro_rosso,Italian,2018,8,French Grand Prix,51000000.0,ricard,Le Castellet,France,43.2506,5.79167,432.0,+1 Lap,0.0,19.0,8.0,0.0,93025.0,93025.0,93025.0,35,29,"Partially cloudy, warm and dry",1,0,1,0,1,Race circuit,Clockwise,5.842,53.0,309.626,93025.0,93025.0,93025.0,28,1,12,0,0,0,0,0,0,0,0,0,1,0,1,0,0,1,0,1,0,58.0,72.0,78.0,73.0,72.0 +9.0,15,13,0.0,52,,37.0,13.0,96494.0,217.953,ericsson,9.0,Swedish,sauber,Swiss,2018,8,French Grand Prix,51000000.0,ricard,Le Castellet,France,43.2506,5.79167,432.0,+1 Lap,0.0,13.0,9.0,0.0,92804.0,92820.0,92820.0,34,28,"Partially cloudy, warm and dry",1,0,1,0,1,Race circuit,Clockwise,5.842,53.0,309.626,92804.0,92820.0,92814.66666666669,24,4,84,0,0,0,0,0,0,0,0,1,0,2,0,1,0,1,1,0,0,77.0,76.0,76.0,70.0,71.0 +8.0,10,11,0.0,52,,47.0,10.0,95695.0,219.773,grosjean,8.0,French,haas,American,2018,8,French Grand Prix,51000000.0,ricard,Le Castellet,France,43.2506,5.79167,432.0,+1 Lap,0.0,27.0,7.0,0.0,92083.0,91472.0,91472.0,38,32,"Partially cloudy, warm and dry",1,0,1,0,1,Race circuit,Clockwise,5.842,53.0,309.626,91472.0,92083.0,91675.66666666669,23,9,132,0,0,0,0,0,0,0,0,0,0,0,1,1,0,2,1,1,1,133.0,90.0,90.0,81.0,84.0 +44.0,1,1,25.0,53,5411385.0,49.0,5.0,94509.0,222.531,hamilton,44.0,British,mercedes,German,2018,8,French Grand Prix,51000000.0,ricard,Le Castellet,France,43.2506,5.79167,432.0,Finished,2.0,237.0,1.0,3.0,91271.0,90645.0,90029.0,39,33,"Partially cloudy, warm and dry",1,0,1,0,1,Race circuit,Clockwise,5.842,53.0,309.626,90029.0,91271.0,90648.33333333331,22,11,216,5,1,2,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,215.0,89.0,83.0,90.0,88.0 +27.0,12,9,2.0,53,5503374.0,46.0,11.0,95873.0,219.365,hulkenberg,27.0,German,renault,French,2018,8,French Grand Prix,51000000.0,ricard,Le Castellet,France,43.2506,5.79167,432.0,Finished,0.0,62.0,4.0,0.0,92949.0,92115.0,92115.0,37,31,"Partially cloudy, warm and dry",1,0,1,0,1,Race circuit,Clockwise,5.842,53.0,309.626,92115.0,92949.0,92393.0,23,8,145,0,0,0,0,0,2,2,1,0,0,0,0,0,0,0,0,0,1,147.0,88.0,80.0,84.0,83.0 +20.0,9,6,8.0,53,5490749.0,50.0,8.0,95425.0,220.395,kevin_magnussen,20.0,Danish,haas,American,2018,8,French Grand Prix,51000000.0,ricard,Le Castellet,France,43.2506,5.79167,432.0,Finished,0.0,27.0,7.0,0.0,92169.0,91510.0,92930.0,32,26,"Partially cloudy, warm and dry",1,0,1,0,1,Race circuit,Clockwise,5.842,53.0,309.626,91510.0,92930.0,92203.0,22,4,69,0,0,0,0,1,1,0,0,0,1,0,0,3,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +16.0,8,10,1.0,53,5505258.0,45.0,12.0,95977.0,219.127,leclerc,16.0,Monegasque,sauber,Swiss,2018,8,French Grand Prix,51000000.0,ricard,Le Castellet,France,43.2506,5.79167,432.0,Finished,0.0,13.0,9.0,0.0,92538.0,92055.0,92635.0,27,21,"Partially cloudy, warm and dry",1,0,1,0,1,Race circuit,Clockwise,5.842,53.0,309.626,92055.0,92635.0,92409.33333333331,21,0,8,0,0,0,0,0,1,0,0,0,2,0,1,1,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +33.0,4,2,18.0,53,5418475.0,47.0,2.0,94275.0,223.083,max_verstappen,33.0,Dutch,red_bull,Austrian,2018,8,French Grand Prix,51000000.0,ricard,Le Castellet,France,43.2506,5.79167,432.0,Finished,0.0,164.0,3.0,2.0,91531.0,90818.0,90705.0,27,21,"Partially cloudy, warm and dry",1,0,1,0,1,Race circuit,Clockwise,5.842,53.0,309.626,90705.0,91531.0,91018.0,18,3,68,2,0,2,0,1,1,0,0,1,0,0,0,0,0,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +7.0,6,3,15.0,53,5437273.0,48.0,3.0,94398.0,222.792,raikkonen,7.0,Finnish,ferrari,Italian,2018,8,French Grand Prix,51000000.0,ricard,Le Castellet,France,43.2506,5.79167,432.0,Finished,0.0,214.0,2.0,3.0,91567.0,90772.0,91057.0,45,39,"Partially cloudy, warm and dry",1,0,1,0,1,Race circuit,Clockwise,5.842,53.0,309.626,90772.0,91567.0,91132.0,27,12,194,3,1,2,1,0,1,0,0,0,0,0,0,0,0,0,0,1,1,197.0,86.0,85.0,88.0,86.0 +3.0,5,4,12.0,53,5446121.0,37.0,7.0,95382.0,220.494,ricciardo,3.0,Australian,red_bull,Austrian,2018,8,French Grand Prix,51000000.0,ricard,Le Castellet,France,43.2506,5.79167,432.0,Finished,2.0,164.0,3.0,2.0,91910.0,91538.0,90895.0,35,29,"Partially cloudy, warm and dry",1,0,1,0,1,Race circuit,Clockwise,5.842,53.0,309.626,90895.0,91910.0,91447.66666666669,22,7,137,2,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,1,0,134.0,87.0,90.0,80.0,83.0 +55.0,7,8,4.0,53,5498569.0,46.0,9.0,95638.0,219.904,sainz,55.0,Spanish,renault,French,2018,8,French Grand Prix,51000000.0,ricard,Le Castellet,France,43.2506,5.79167,432.0,Finished,0.0,62.0,4.0,0.0,92394.0,92016.0,92126.0,30,24,"Partially cloudy, warm and dry",1,0,1,0,1,Race circuit,Clockwise,5.842,53.0,309.626,92016.0,92394.0,92178.66666666669,21,3,68,0,0,0,0,1,0,1,1,1,2,1,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +35.0,18,15,0.0,52,,35.0,16.0,98300.0,213.949,sirotkin,35.0,Russian,williams,British,2018,8,French Grand Prix,51000000.0,ricard,Le Castellet,France,43.2506,5.79167,432.0,+1 Lap,0.0,4.0,10.0,0.0,93636.0,93636.0,93636.0,29,23,"Partially cloudy, warm and dry",1,0,1,0,1,Race circuit,Clockwise,5.842,53.0,309.626,93636.0,93636.0,93636.0,23,0,8,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,1,1,0,58.0,72.0,78.0,73.0,72.0 +2.0,17,12,0.0,52,,48.0,14.0,96675.0,217.545,vandoorne,2.0,Belgian,mclaren,British,2018,8,French Grand Prix,51000000.0,ricard,Le Castellet,France,43.2506,5.79167,432.0,+1 Lap,0.0,40.0,5.0,0.0,93162.0,93162.0,93162.0,32,26,"Partially cloudy, warm and dry",1,0,1,0,1,Race circuit,Clockwise,5.842,53.0,309.626,93162.0,93162.0,93162.0,24,2,29,0,0,0,0,0,0,0,1,2,0,0,0,1,1,1,1,0,0,58.0,72.0,78.0,73.0,72.0 +5.0,3,5,10.0,53,5473320.0,42.0,4.0,94485.0,222.587,vettel,5.0,German,ferrari,Italian,2018,8,French Grand Prix,51000000.0,ricard,Le Castellet,France,43.2506,5.79167,432.0,Finished,3.0,214.0,2.0,3.0,91820.0,90751.0,90400.0,37,31,"Partially cloudy, warm and dry",1,0,1,0,1,Race circuit,Clockwise,5.842,53.0,309.626,90400.0,91820.0,90990.33333333331,20,11,207,4,1,0,2,0,0,0,1,0,0,0,0,0,0,0,0,0,0,209.0,86.0,83.0,89.0,86.0 +14.0,13,8,4.0,70,,69.0,9.0,68661.0,226.399,alonso,14.0,Spanish,mclaren,British,2018,9,Austrian Grand Prix,47400000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,44.0,6.0,0.0,64965.0,65058.00000000001,65058.00000000001,43,37,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.318,71.0,306.452,64965.0,65058.00000000001,65027.0,25,12,232,0,0,0,0,1,0,3,1,0,0,0,0,0,0,0,1,0,1,234.0,89.0,86.0,84.0,85.0 +9.0,20,10,1.0,70,,67.0,6.0,68216.0,227.876,ericsson,9.0,Swedish,sauber,Swiss,2018,9,Austrian Grand Prix,47400000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,16.0,9.0,0.0,65479.0,65479.0,65479.0,34,28,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.318,71.0,306.452,65479.0,65479.0,65479.0,24,4,85,0,0,0,0,0,0,0,0,1,0,2,0,2,0,1,1,0,0,77.0,76.0,76.0,70.0,71.0 +10.0,12,11,0.0,70,,38.0,19.0,69295.0,224.327,gasly,10.0,French,toro_rosso,Italian,2018,9,Austrian Grand Prix,47400000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,19.0,8.0,0.0,65010.99999999999,64873.99999999999,64873.99999999999,28,22,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.318,71.0,306.452,64873.99999999999,65010.99999999999,64919.66666666666,21,1,14,0,0,0,1,0,0,1,0,0,0,1,1,0,0,0,0,0,2,58.0,72.0,78.0,73.0,72.0 +8.0,5,4,12.0,70,,17.0,16.0,69071.0,225.055,grosjean,8.0,French,haas,American,2018,9,Austrian Grand Prix,47400000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,49.0,5.0,0.0,64242.00000000001,64059.0,63892.0,38,32,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.318,71.0,306.452,63892.0,64242.00000000001,64064.333333333336,23,9,133,0,0,0,0,0,0,0,0,0,0,1,1,1,0,2,1,1,1,134.0,87.0,90.0,80.0,83.0 +20.0,8,5,10.0,70,,70.0,7.0,68476.0,227.01,kevin_magnussen,20.0,Danish,haas,American,2018,9,Austrian Grand Prix,47400000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,49.0,5.0,0.0,64459.99999999999,64291.0,64051.0,32,26,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.318,71.0,306.452,64051.0,64459.99999999999,64267.333333333336,22,4,70,0,0,0,0,1,2,0,0,0,1,0,0,3,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +16.0,18,9,2.0,70,,68.0,14.0,69006.0,225.267,leclerc,16.0,Monegasque,sauber,Swiss,2018,9,Austrian Grand Prix,47400000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,16.0,9.0,0.0,64967.0,64979.0,64979.0,27,21,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.318,71.0,306.452,64967.0,64979.0,64975.0,21,0,9,0,0,0,0,0,1,0,0,0,3,0,1,1,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +33.0,4,1,25.0,71,4916024.0,70.0,4.0,67442.0,230.491,max_verstappen,33.0,Dutch,red_bull,Austrian,2018,9,Austrian Grand Prix,47400000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,0.0,189.0,3.0,3.0,64272.99999999999,64001.00000000001,63840.0,27,21,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.318,71.0,306.452,63840.0,64272.99999999999,64038.0,18,3,69,3,1,2,0,1,1,0,0,1,0,0,0,0,0,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +31.0,11,6,8.0,70,,64.0,11.0,68850.0,225.777,ocon,31.0,French,force_india,Indian,2018,9,Austrian Grand Prix,47400000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,42.0,7.0,0.0,65147.99999999999,64845.0,64845.0,28,22,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.318,71.0,306.452,64845.0,65147.99999999999,64946.0,20,2,38,0,0,0,0,0,1,0,0,1,1,1,1,0,0,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +11.0,16,7,6.0,70,,66.0,8.0,68504.0,226.918,perez,11.0,Mexican,force_india,Indian,2018,9,Austrian Grand Prix,47400000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,42.0,7.0,0.0,65279.0,65279.0,65279.0,34,28,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.318,71.0,306.452,65279.0,65279.0,65279.0,21,7,145,1,0,1,0,0,0,0,0,1,0,1,2,0,1,0,1,0,1,147.0,88.0,80.0,84.0,83.0 +7.0,3,2,18.0,71,4917528.0,71.0,1.0,66957.0,232.16,raikkonen,7.0,Finnish,ferrari,Italian,2018,9,Austrian Grand Prix,47400000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,0.0,247.0,1.0,3.0,64233.99999999999,63975.0,63660.0,45,39,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.318,71.0,306.452,63660.0,64233.99999999999,63956.333333333336,27,12,195,4,1,3,1,0,1,0,0,0,0,0,0,0,0,0,0,1,1,197.0,86.0,85.0,88.0,86.0 +55.0,9,12,0.0,70,,37.0,10.0,68766.0,226.053,sainz,55.0,Spanish,renault,French,2018,9,Austrian Grand Prix,47400000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,62.0,4.0,0.0,64947.99999999999,64561.00000000001,64724.99999999999,30,24,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.318,71.0,306.452,64561.00000000001,64947.99999999999,64744.66666666666,21,3,69,0,0,0,0,1,0,1,2,1,2,1,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +35.0,17,13,0.0,69,,64.0,13.0,68971.0,225.381,sirotkin,35.0,Russian,williams,British,2018,9,Austrian Grand Prix,47400000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+2 Laps,0.0,4.0,10.0,0.0,65322.0,65322.0,65322.0,29,23,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.318,71.0,306.452,65322.0,65322.0,65322.0,23,0,9,0,0,0,0,0,0,0,0,0,0,0,0,0,1,3,1,1,0,58.0,72.0,78.0,73.0,72.0 +18.0,14,14,0.0,69,,68.0,18.0,69203.0,224.626,stroll,18.0,Canadian,williams,British,2018,9,Austrian Grand Prix,47400000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+2 Laps,0.0,4.0,10.0,0.0,65263.99999999999,65286.0,65286.0,26,20,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.318,71.0,306.452,65263.99999999999,65286.0,65278.66666666666,19,1,29,0,0,0,0,0,0,0,1,0,0,1,0,0,3,0,0,2,0,58.0,72.0,78.0,73.0,72.0 +5.0,6,3,15.0,71,4919205.0,67.0,2.0,67082.0,231.728,vettel,5.0,German,ferrari,Italian,2018,9,Austrian Grand Prix,47400000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,3.0,247.0,1.0,3.0,64346.99999999999,63544.0,63464.0,37,31,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.318,71.0,306.452,63464.0,64346.99999999999,63785.0,20,11,208,4,1,0,2,1,0,0,1,0,0,0,0,0,0,0,0,0,0,209.0,86.0,83.0,89.0,86.0 +14.0,13,8,4.0,52,5280899.0,52.0,10.0,93482.0,226.862,alonso,14.0,Spanish,mclaren,British,2018,10,British Grand Prix,47400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,48.0,7.0,0.0,88187.0,88139.0,88139.0,43,37,Sunny 27.0 °C (80.6 °F)[2],1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,88139.0,88187.0,88155.0,25,12,233,0,0,0,0,1,0,3,2,0,0,0,0,0,0,0,1,0,1,234.0,89.0,86.0,84.0,85.0 +77.0,4,4,12.0,52,5258667.0,43.0,4.0,91377.0,232.089,bottas,77.0,Finnish,mercedes,German,2018,10,British Grand Prix,47400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,267.0,2.0,3.0,87025.0,86413.0,86217.0,35,29,Sunny 27.0 °C (80.6 °F)[2],1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,86217.0,87025.0,86551.66666666667,24,5,108,4,4,0,0,1,0,1,1,0,0,0,0,0,1,0,0,0,0,107.0,80.0,80.0,79.0,78.0 +10.0,14,13,0.0,52,5288913.0,48.0,8.0,93465.0,226.904,gasly,10.0,French,toro_rosso,Italian,2018,10,British Grand Prix,47400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,19.0,8.0,0.0,88399.0,88343.0,88343.0,28,22,Sunny 27.0 °C (80.6 °F)[2],1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,88343.0,88399.0,88361.66666666667,21,1,15,0,0,0,1,0,0,1,0,0,0,2,1,0,0,0,0,0,2,58.0,72.0,78.0,73.0,72.0 +44.0,1,2,18.0,52,5252048.0,52.0,3.0,91245.0,232.424,hamilton,44.0,British,mercedes,German,2018,10,British Grand Prix,47400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,3.0,267.0,2.0,3.0,86818.0,86256.0,85892.0,39,33,Sunny 27.0 °C (80.6 °F)[2],1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,85892.0,86818.0,86322.0,22,11,218,6,1,2,1,1,0,0,0,0,0,0,0,0,0,0,1,0,0,219.0,90.0,82.0,87.0,87.0 +27.0,11,6,8.0,52,5278004.0,48.0,7.0,93405.0,227.049,hulkenberg,27.0,German,renault,French,2018,10,British Grand Prix,47400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,70.0,4.0,0.0,88017.0,87901.0,87901.0,37,31,Sunny 27.0 °C (80.6 °F)[2],1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,87901.0,88017.0,87939.66666666667,23,8,147,0,0,0,0,0,2,2,1,1,0,0,0,0,0,0,0,0,1,147.0,88.0,80.0,84.0,83.0 +20.0,7,9,2.0,52,5282972.0,48.0,12.0,93604.0,226.567,kevin_magnussen,20.0,Danish,haas,American,2018,10,British Grand Prix,47400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,51.0,5.0,0.0,88143.0,87730.0,87244.0,32,26,Sunny 27.0 °C (80.6 °F)[2],1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,87244.0,88143.0,87705.66666666667,22,4,71,0,0,0,0,2,2,0,0,0,1,0,0,3,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +31.0,10,7,6.0,52,5279714.0,48.0,13.0,93606.0,226.562,ocon,31.0,French,force_india,Indian,2018,10,British Grand Prix,47400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,49.0,6.0,0.0,88279.0,87843.0,88194.0,28,22,Sunny 27.0 °C (80.6 °F)[2],1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,87843.0,88279.0,88105.33333333333,20,2,39,0,0,0,0,0,2,0,0,1,1,1,1,0,0,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +11.0,12,10,1.0,52,5284492.0,48.0,9.0,93472.0,226.887,perez,11.0,Mexican,force_india,Indian,2018,10,British Grand Prix,47400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,49.0,6.0,0.0,88210.0,87928.0,87928.0,34,28,Sunny 27.0 °C (80.6 °F)[2],1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,87928.0,88210.0,88022.0,21,7,146,1,0,1,0,0,0,1,0,1,0,1,2,0,1,0,1,0,1,147.0,88.0,80.0,84.0,83.0 +7.0,3,3,15.0,52,5253436.0,51.0,2.0,90795.0,233.576,raikkonen,7.0,Finnish,ferrari,Italian,2018,10,British Grand Prix,47400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,287.0,1.0,4.0,87549.0,86483.0,85990.0,45,39,Sunny 27.0 °C (80.6 °F)[2],1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,85990.0,87549.0,86674.0,27,12,196,5,2,3,1,0,1,0,0,0,0,0,0,0,0,0,0,1,1,197.0,86.0,85.0,88.0,86.0 +3.0,6,5,10.0,52,5259284.0,46.0,5.0,91589.0,231.551,ricciardo,3.0,Australian,red_bull,Austrian,2018,10,British Grand Prix,47400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,2.0,199.0,3.0,3.0,87979.0,87369.0,87099.0,35,29,Sunny 27.0 °C (80.6 °F)[2],1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,87099.0,87979.0,87482.33333333333,22,7,139,2,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,1,1,137.0,87.0,90.0,80.0,83.0 +35.0,18,14,0.0,52,5297897.0,52.0,18.0,94620.0,224.134,sirotkin,35.0,Russian,williams,British,2018,10,British Grand Prix,47400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,4.0,10.0,0.0,89252.0,89252.0,89252.0,29,23,Sunny 27.0 °C (80.6 °F)[2],1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,89252.0,89252.0,89252.0,23,0,10,0,0,0,0,0,0,0,0,0,0,0,0,1,1,3,1,1,0,58.0,72.0,78.0,73.0,72.0 +18.0,19,12,0.0,52,5287890.0,48.0,15.0,93869.0,225.927,stroll,18.0,Canadian,williams,British,2018,10,British Grand Prix,47400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,4.0,10.0,0.0,89252.0,89252.0,89252.0,26,20,Sunny 27.0 °C (80.6 °F)[2],1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,89252.0,89252.0,89252.0,19,1,30,0,0,0,0,0,0,0,1,0,0,1,0,0,4,0,0,2,0,58.0,72.0,78.0,73.0,72.0 +2.0,17,11,0.0,52,5285558.0,48.0,11.0,93551.0,226.695,vandoorne,2.0,Belgian,mclaren,British,2018,10,British Grand Prix,47400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,48.0,7.0,0.0,89096.0,89096.0,89096.0,32,26,Sunny 27.0 °C (80.6 °F)[2],1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,89096.0,89096.0,89096.0,24,2,31,0,0,0,0,0,0,0,1,2,0,0,1,1,1,2,1,0,0,58.0,72.0,78.0,73.0,72.0 +5.0,2,1,25.0,52,5249784.0,47.0,1.0,90696.0,233.831,vettel,5.0,German,ferrari,Italian,2018,10,British Grand Prix,47400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,3.0,287.0,1.0,4.0,86585.0,86372.0,85936.0,37,31,Sunny 27.0 °C (80.6 °F)[2],1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,85936.0,86585.0,86297.66666666667,20,11,209,5,1,1,2,1,0,0,1,0,0,0,0,0,0,0,0,0,0,209.0,86.0,83.0,89.0,86.0 +77.0,2,2,18.0,67,5554380.0,65.0,2.0,75721.0,217.461,bottas,77.0,Finnish,mercedes,German,2018,11,German Grand Prix,47400000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,0.0,310.0,1.0,4.0,72962.0,72152.0,71416.0,35,29,Overcast with intermittent rain,0,0,0,1,1,Race circuit,Clockwise,4.574,64.0,292.736,71416.0,72962.0,72176.66666666667,24,5,109,4,4,0,1,1,0,1,1,0,0,0,0,0,1,0,0,0,0,110.0,79.0,79.0,79.0,77.0 +28.0,17,10,1.0,67,5584042.0,66.0,9.0,77681.0,211.974,brendon_hartley,28.0,New Zealander,toro_rosso,Italian,2018,11,German Grand Prix,47400000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,0.0,20.0,8.0,0.0,74045.0,74045.0,74045.0,35,29,Overcast with intermittent rain,0,0,0,1,1,Race circuit,Clockwise,4.574,64.0,292.736,74045.0,74045.0,74045.0,28,1,15,0,0,0,0,0,0,0,0,0,1,0,1,0,1,1,0,2,0,58.0,72.0,78.0,73.0,72.0 +9.0,13,9,2.0,67,5582207.0,65.0,12.0,77745.0,211.8,ericsson,9.0,Swedish,sauber,Swiss,2018,11,German Grand Prix,47400000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,0.0,18.0,9.0,0.0,73562.0,73736.0,73736.0,34,28,Overcast with intermittent rain,0,0,0,1,1,Race circuit,Clockwise,4.574,64.0,292.736,73562.0,73736.0,73678.0,24,4,87,0,0,0,0,0,0,0,0,1,1,2,0,2,0,1,1,0,1,91.0,83.0,77.0,75.0,75.0 +10.0,16,14,0.0,66,,66.0,13.0,77762.0,211.753,gasly,10.0,French,toro_rosso,Italian,2018,11,German Grand Prix,47400000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,+1 Lap,0.0,20.0,8.0,0.0,73749.0,73749.0,73749.0,28,22,Overcast with intermittent rain,0,0,0,1,1,Race circuit,Clockwise,4.574,64.0,292.736,73749.0,73749.0,73749.0,21,1,16,0,0,0,1,0,0,1,0,0,0,2,1,1,0,0,0,0,2,58.0,72.0,78.0,73.0,72.0 +8.0,6,6,8.0,67,5578716.0,66.0,5.0,76716.0,214.641,grosjean,8.0,French,haas,American,2018,11,German Grand Prix,47400000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,0.0,59.0,6.0,0.0,72986.0,72722.0,72544.0,38,32,Overcast with intermittent rain,0,0,0,1,1,Race circuit,Clockwise,4.574,64.0,292.736,72544.0,72986.0,72750.66666666667,23,9,135,0,0,0,1,0,0,0,0,0,0,1,1,1,0,2,2,1,1,134.0,87.0,90.0,80.0,83.0 +44.0,14,1,25.0,67,5549845.0,66.0,1.0,75545.0,217.968,hamilton,44.0,British,mercedes,German,2018,11,German Grand Prix,47400000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,3.0,310.0,1.0,4.0,73012.0,73012.0,73012.0,39,33,Overcast with intermittent rain,0,0,0,1,1,Race circuit,Clockwise,4.574,64.0,292.736,73012.0,73012.0,73012.0,22,11,219,7,2,2,1,1,0,0,0,0,0,0,0,0,0,0,1,0,0,219.0,90.0,82.0,87.0,87.0 +27.0,7,5,10.0,67,5576454.0,66.0,16.0,77910.0,211.351,hulkenberg,27.0,German,renault,French,2018,11,German Grand Prix,47400000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,0.0,80.0,4.0,0.0,73479.0,72946.0,72560.0,37,31,Overcast with intermittent rain,0,0,0,1,1,Race circuit,Clockwise,4.574,64.0,292.736,72560.0,73479.0,72995.0,23,8,148,0,0,0,0,0,3,2,1,1,0,0,0,0,0,0,0,0,1,148.0,87.0,77.0,83.0,82.0 +20.0,5,11,0.0,67,5584764.0,66.0,10.0,77697.0,211.93,kevin_magnussen,20.0,Danish,haas,American,2018,11,German Grand Prix,47400000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,0.0,59.0,6.0,0.0,73105.0,72523.0,72200.0,32,26,Overcast with intermittent rain,0,0,0,1,1,Race circuit,Clockwise,4.574,64.0,292.736,72200.0,73105.0,72609.33333333333,22,4,72,0,0,0,0,2,2,0,0,1,1,0,0,3,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +16.0,9,15,0.0,66,,64.0,14.0,77852.0,211.509,leclerc,16.0,Monegasque,sauber,Swiss,2018,11,German Grand Prix,47400000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,+1 Lap,0.0,18.0,9.0,0.0,73077.0,72995.0,72717.0,27,21,Overcast with intermittent rain,0,0,0,1,1,Race circuit,Clockwise,4.574,64.0,292.736,72717.0,73077.0,72929.66666666667,21,0,11,0,0,0,0,0,1,0,0,1,3,0,1,1,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +33.0,4,4,12.0,67,5557499.0,66.0,3.0,75852.0,217.085,max_verstappen,33.0,Dutch,red_bull,Austrian,2018,11,German Grand Prix,47400000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,1.0,211.0,3.0,3.0,73127.0,72188.0,71822.0,27,21,Overcast with intermittent rain,0,0,0,1,1,Race circuit,Clockwise,4.574,64.0,292.736,71822.0,73127.0,72379.0,18,3,71,4,1,2,0,1,1,0,0,1,0,0,0,0,0,1,1,0,0,72.0,76.0,76.0,76.0,74.0 +31.0,15,8,4.0,67,5581595.0,64.0,17.0,77941.0,211.267,ocon,31.0,French,force_india,Indian,2018,11,German Grand Prix,47400000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,0.0,59.0,5.0,0.0,73720.0,73720.0,73720.0,28,22,Overcast with intermittent rain,0,0,0,1,1,Race circuit,Clockwise,4.574,64.0,292.736,73720.0,73720.0,73720.0,20,2,40,0,0,0,0,0,2,1,0,1,1,1,1,0,0,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +11.0,10,7,6.0,67,5580401.0,66.0,15.0,77867.0,211.468,perez,11.0,Mexican,force_india,Indian,2018,11,German Grand Prix,47400000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,0.0,59.0,5.0,0.0,73427.0,73072.0,72774.0,34,28,Overcast with intermittent rain,0,0,0,1,1,Race circuit,Clockwise,4.574,64.0,292.736,72774.0,73427.0,73091.0,21,7,147,1,0,1,0,0,0,1,0,1,1,1,2,0,1,0,1,0,1,147.0,88.0,80.0,84.0,83.0 +7.0,3,3,15.0,67,5556577.0,64.0,4.0,75990.0,216.691,raikkonen,7.0,Finnish,ferrari,Italian,2018,11,German Grand Prix,47400000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,0.0,302.0,2.0,4.0,72505.0,72336.0,71547.0,45,39,Overcast with intermittent rain,0,0,0,1,1,Race circuit,Clockwise,4.574,64.0,292.736,71547.0,72505.0,72129.33333333333,27,12,197,6,2,4,1,0,1,0,0,0,0,0,0,0,0,0,0,1,1,197.0,86.0,85.0,88.0,86.0 +55.0,8,12,0.0,67,5592914.0,63.0,7.0,77430.0,212.661,sainz,55.0,Spanish,renault,French,2018,11,German Grand Prix,47400000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,0.0,80.0,4.0,0.0,73324.0,73032.0,72692.0,30,24,Overcast with intermittent rain,0,0,0,1,1,Race circuit,Clockwise,4.574,64.0,292.736,72692.0,73324.0,73016.0,21,3,71,0,0,0,0,1,0,1,2,1,2,1,1,0,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +2.0,19,13,0.0,67,5596462.0,67.0,8.0,77537.0,212.368,vandoorne,2.0,Belgian,mclaren,British,2018,11,German Grand Prix,47400000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,0.0,48.0,7.0,0.0,74401.0,74401.0,74401.0,32,26,Overcast with intermittent rain,0,0,0,1,1,Race circuit,Clockwise,4.574,64.0,292.736,74401.0,74401.0,74401.0,24,2,32,0,0,0,0,0,0,0,1,2,0,1,1,1,1,2,1,0,0,58.0,72.0,78.0,73.0,72.0 +14.0,11,8,4.0,69,,68.0,9.0,82090.0,192.125,alonso,14.0,Spanish,mclaren,British,2018,12,Hungarian Grand Prix,47400000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,52.0,7.0,0.0,78208.0,95214.0,95214.0,43,37,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,78208.0,95214.0,89545.33333333333,25,12,235,0,0,0,0,1,0,3,3,0,0,0,0,0,0,0,2,0,1,234.0,89.0,86.0,84.0,85.0 +77.0,2,5,10.0,70,5886427.0,39.0,8.0,81736.0,192.957,bottas,77.0,Finnish,mercedes,German,2018,12,Hungarian Grand Prix,47400000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,345.0,1.0,5.0,77123.0,92081.0,95918.0,35,29,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,77123.0,95918.0,88374.0,24,5,110,5,5,0,1,1,0,1,1,0,0,0,0,0,1,0,0,0,0,110.0,79.0,79.0,79.0,77.0 +28.0,8,11,0.0,69,,62.0,11.0,82612.0,190.911,brendon_hartley,28.0,New Zealander,toro_rosso,Italian,2018,12,Hungarian Grand Prix,47400000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,28.0,8.0,0.0,78429.0,92590.0,98128.0,35,29,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,78429.0,98128.0,89715.66666666667,28,1,16,0,0,0,0,0,0,0,0,0,2,0,1,0,1,1,0,2,0,58.0,72.0,78.0,73.0,72.0 +9.0,14,15,0.0,68,,53.0,17.0,83671.0,188.495,ericsson,9.0,Swedish,sauber,Swiss,2018,12,Hungarian Grand Prix,47400000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+2 Laps,0.0,18.0,9.0,0.0,78641.0,97075.0,97075.0,34,28,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,78641.0,97075.0,90930.33333333331,24,4,88,0,0,0,0,0,0,0,0,2,1,2,0,2,0,1,1,0,1,91.0,83.0,77.0,75.0,75.0 +10.0,6,6,8.0,70,5909700.0,64.0,7.0,81685.0,193.078,gasly,10.0,French,toro_rosso,Italian,2018,12,Hungarian Grand Prix,47400000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,28.0,8.0,0.0,78577.0,91286.0,97591.0,28,22,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,78577.0,97591.0,89151.33333333333,21,1,17,0,0,0,1,0,0,1,0,0,0,2,1,1,1,0,0,0,2,58.0,72.0,78.0,73.0,72.0 +8.0,10,10,1.0,69,,58.0,10.0,82606.0,190.925,grosjean,8.0,French,haas,American,2018,12,Hungarian Grand Prix,47400000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,66.0,5.0,0.0,77901.0,93650.0,100593.0,38,32,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,77901.0,100593.0,90714.66666666669,23,9,136,0,0,0,1,0,1,0,0,0,0,1,1,1,0,2,2,1,1,134.0,87.0,90.0,80.0,83.0 +44.0,1,1,25.0,70,5836427.0,63.0,4.0,81107.0,194.454,hamilton,44.0,British,mercedes,German,2018,12,Hungarian Grand Prix,47400000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,4.0,345.0,1.0,5.0,77419.0,91242.0,95658.0,39,33,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,77419.0,95658.0,88106.33333333333,22,11,220,8,2,2,1,1,0,0,0,0,0,0,0,0,0,0,1,0,0,219.0,90.0,82.0,87.0,87.0 +27.0,13,12,0.0,69,,69.0,5.0,81261.0,194.085,hulkenberg,27.0,German,renault,French,2018,12,Hungarian Grand Prix,47400000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,82.0,4.0,0.0,77905.0,96506.0,96506.0,37,31,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,77905.0,96506.0,90305.66666666669,23,8,149,0,0,0,0,1,3,2,1,1,0,0,0,0,0,0,0,0,1,148.0,87.0,77.0,83.0,82.0 +20.0,9,7,6.0,69,,60.0,6.0,81302.0,193.987,kevin_magnussen,20.0,Danish,haas,American,2018,12,Hungarian Grand Prix,47400000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,66.0,5.0,0.0,78314.0,92968.0,99858.0,32,26,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,78314.0,99858.0,90380.0,22,4,73,0,0,0,0,2,2,0,0,1,1,1,0,3,0,0,0,1,0,74.0,75.0,75.0,72.0,71.0 +31.0,18,13,0.0,69,,63.0,14.0,82876.0,190.303,ocon,31.0,French,force_india,Indian,2018,12,Hungarian Grand Prix,47400000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,59.0,6.0,0.0,79142.0,79142.0,79142.0,28,22,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,79142.0,79142.0,79142.0,20,2,41,0,0,0,0,0,2,1,1,1,1,1,1,0,0,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +11.0,19,14,0.0,69,,56.0,16.0,83263.0,189.419,perez,11.0,Mexican,force_india,Indian,2018,12,Hungarian Grand Prix,47400000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,59.0,6.0,0.0,79200.0,79200.0,79200.0,34,28,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,79200.0,79200.0,79200.0,21,7,148,1,0,1,0,0,0,2,0,1,1,1,2,0,1,0,1,0,1,148.0,87.0,77.0,83.0,82.0 +7.0,3,3,15.0,70,5856528.0,55.0,3.0,80292.0,196.428,raikkonen,7.0,Finnish,ferrari,Italian,2018,12,Hungarian Grand Prix,47400000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,335.0,2.0,4.0,77526.0,92762.0,96186.0,45,39,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,77526.0,96186.0,88824.66666666667,27,12,198,7,2,5,1,0,1,0,0,0,0,0,0,0,0,0,0,1,1,200.0,86.0,85.0,88.0,86.0 +3.0,12,4,12.0,70,5882846.0,46.0,1.0,80012.0,197.115,ricciardo,3.0,Australian,red_bull,Austrian,2018,12,Hungarian Grand Prix,47400000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,2.0,223.0,3.0,3.0,78540.0,96442.0,96442.0,35,29,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,78540.0,96442.0,90474.66666666669,22,7,141,2,0,0,3,2,0,0,0,0,0,0,0,0,0,0,0,1,1,141.0,89.0,85.0,83.0,83.0 +55.0,5,9,2.0,69,,58.0,13.0,82774.0,190.538,sainz,55.0,Spanish,renault,French,2018,12,Hungarian Grand Prix,47400000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,82.0,4.0,0.0,77829.0,90771.0,96743.0,30,24,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,77829.0,96743.0,88447.66666666667,21,3,72,0,0,0,0,1,0,1,2,1,2,1,2,0,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +35.0,20,16,0.0,68,,53.0,18.0,83708.0,188.412,sirotkin,35.0,Russian,williams,British,2018,12,Hungarian Grand Prix,47400000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+2 Laps,0.0,4.0,10.0,0.0,79301.0,79301.0,79301.0,29,23,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,79301.0,79301.0,79301.0,23,0,12,0,0,0,0,0,0,0,0,0,0,0,0,1,2,3,1,1,0,58.0,72.0,78.0,73.0,72.0 +18.0,15,17,0.0,68,,51.0,12.0,82660.0,190.8,stroll,18.0,Canadian,williams,British,2018,12,Hungarian Grand Prix,47400000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+2 Laps,0.0,4.0,10.0,0.0,78560.0,78560.0,78560.0,26,20,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,78560.0,78560.0,78560.0,19,1,32,0,0,0,0,0,0,0,1,0,0,1,1,0,4,0,0,3,0,58.0,72.0,78.0,73.0,72.0 +5.0,4,2,18.0,70,5853550.0,70.0,2.0,80056.0,197.007,vettel,5.0,German,ferrari,Italian,2018,12,Hungarian Grand Prix,47400000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,4.0,335.0,2.0,4.0,76666.0,88636.0,96210.0,37,31,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,76666.0,96210.0,87170.66666666667,20,11,211,6,1,1,2,1,0,0,1,0,0,0,0,0,0,0,0,0,1,210.0,88.0,85.0,90.0,88.0 +77.0,19,4,12.0,44,5078081.0,32.0,1.0,106286.0,237.231,bottas,77.0,Finnish,mercedes,German,2018,13,Belgian Grand Prix,47400000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,375.0,1.0,5.0,102805.0,102191.0,102191.0,35,29,Cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,102191.0,102805.0,102395.66666666669,24,5,111,5,5,0,1,2,0,1,1,0,0,0,0,0,1,0,0,0,0,112.0,80.0,79.0,81.0,78.0 +28.0,11,14,0.0,43,,33.0,12.0,108756.0,231.843,brendon_hartley,28.0,New Zealander,toro_rosso,Italian,2018,13,Belgian Grand Prix,47400000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,+1 Lap,0.0,30.0,7.0,0.0,104153.0,103865.0,103865.0,35,29,Cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,103865.0,104153.0,103961.0,28,1,17,0,0,0,0,0,0,0,0,0,2,1,1,0,1,1,0,2,0,58.0,72.0,78.0,73.0,72.0 +9.0,13,10,1.0,43,,35.0,11.0,108694.0,231.976,ericsson,9.0,Swedish,sauber,Swiss,2018,13,Belgian Grand Prix,47400000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,+1 Lap,0.0,19.0,8.0,0.0,103846.0,104301.0,104301.0,34,28,Cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,103846.0,104301.0,104149.33333333331,24,4,89,0,0,0,0,0,0,0,0,2,1,2,0,2,0,2,1,0,1,91.0,83.0,77.0,75.0,75.0 +10.0,10,9,2.0,44,5120368.0,36.0,9.0,108588.0,232.202,gasly,10.0,French,toro_rosso,Italian,2018,13,Belgian Grand Prix,47400000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,30.0,7.0,0.0,104221.0,103844.0,103844.0,28,22,Cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,103844.0,104221.0,103969.66666666669,21,1,18,0,0,0,1,0,1,1,0,0,0,2,1,1,1,0,0,0,2,58.0,72.0,78.0,73.0,72.0 +8.0,5,7,6.0,44,5100429.0,35.0,8.0,108283.0,232.856,grosjean,8.0,French,haas,American,2018,13,Belgian Grand Prix,47400000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,76.0,5.0,0.0,103597.0,103042.0,122122.0,38,32,Cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,103042.0,122122.0,109587.0,23,9,137,0,0,0,1,0,1,0,0,0,1,1,1,1,0,2,2,1,1,134.0,87.0,90.0,80.0,83.0 +44.0,1,2,18.0,44,5025537.0,23.0,3.0,106721.0,236.264,hamilton,44.0,British,mercedes,German,2018,13,Belgian Grand Prix,47400000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,5.0,375.0,1.0,5.0,102977.0,101553.0,118179.0,39,33,Cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,101553.0,118179.0,107569.66666666669,22,11,221,9,2,2,1,1,0,0,0,0,0,0,0,0,0,0,1,0,0,219.0,90.0,82.0,87.0,87.0 +20.0,9,8,4.0,44,5102115.0,36.0,5.0,107937.0,233.602,kevin_magnussen,20.0,Danish,haas,American,2018,13,Belgian Grand Prix,47400000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,76.0,5.0,0.0,103834.0,103320.0,124933.0,32,26,Cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,103320.0,124933.0,110695.66666666669,22,4,74,0,0,0,0,2,2,1,0,1,1,1,0,3,0,0,0,1,0,74.0,75.0,75.0,72.0,71.0 +33.0,7,3,15.0,44,5045848.0,36.0,4.0,106946.0,235.767,max_verstappen,33.0,Dutch,red_bull,Austrian,2018,13,Belgian Grand Prix,47400000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,1.0,238.0,3.0,3.0,103199.0,102554.0,122769.0,27,21,Cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,102554.0,122769.0,109507.33333333331,18,3,73,4,1,2,1,1,1,0,0,1,0,0,0,0,0,1,1,0,0,74.0,75.0,75.0,72.0,71.0 +31.0,3,6,8.0,44,5093996.0,35.0,6.0,108078.0,233.298,ocon,31.0,French,force_india,Indian,2018,13,Belgian Grand Prix,47400000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,18.0,9.0,0.0,104003.0,103302.0,121851.0,28,22,Cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,103302.0,121851.0,109718.66666666669,20,2,42,0,0,0,0,0,2,1,1,1,1,1,1,1,0,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +11.0,4,5,10.0,44,5085499.0,38.0,7.0,108080.0,233.293,perez,11.0,Mexican,force_india,Indian,2018,13,Belgian Grand Prix,47400000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,18.0,9.0,0.0,104004.0,103014.0,121894.0,34,28,Cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,103014.0,121894.0,109637.33333333331,21,7,149,1,0,1,0,0,0,2,0,1,1,1,2,0,2,0,1,0,1,148.0,87.0,77.0,83.0,82.0 +55.0,14,11,0.0,43,,32.0,10.0,108670.0,232.027,sainz,55.0,Spanish,renault,French,2018,13,Belgian Grand Prix,47400000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,+1 Lap,0.0,82.0,4.0,0.0,104489.0,104489.0,104489.0,30,24,Cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,104489.0,104489.0,104489.0,21,3,73,0,0,0,0,1,0,1,2,2,2,1,2,0,0,0,0,1,0,74.0,75.0,75.0,72.0,71.0 +35.0,16,12,0.0,43,,42.0,14.0,109113.0,231.085,sirotkin,35.0,Russian,williams,British,2018,13,Belgian Grand Prix,47400000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,+1 Lap,0.0,4.0,10.0,0.0,104998.0,104998.0,104998.0,29,23,Cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,104998.0,104998.0,104998.0,23,0,13,0,0,0,0,0,0,0,0,0,0,0,0,1,2,3,2,1,0,58.0,72.0,78.0,73.0,72.0 +18.0,17,13,0.0,43,,39.0,16.0,109287.0,230.717,stroll,18.0,Canadian,williams,British,2018,13,Belgian Grand Prix,47400000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,+1 Lap,0.0,4.0,10.0,0.0,105134.0,105134.0,105134.0,26,20,Cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,105134.0,105134.0,105134.0,19,1,33,0,0,0,0,0,0,0,1,0,0,1,1,0,4,0,0,4,0,58.0,72.0,78.0,73.0,72.0 +2.0,18,15,0.0,43,,38.0,13.0,108956.0,231.418,vandoorne,2.0,Belgian,mclaren,British,2018,13,Belgian Grand Prix,47400000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,+1 Lap,0.0,52.0,6.0,0.0,105307.0,105307.0,105307.0,32,26,Cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,105307.0,105307.0,105307.0,24,2,34,0,0,0,0,0,0,0,1,2,0,1,1,2,1,2,1,0,1,58.0,72.0,78.0,73.0,72.0 +5.0,2,1,25.0,44,5014476.0,25.0,2.0,106644.0,236.435,vettel,5.0,German,ferrari,Italian,2018,13,Belgian Grand Prix,47400000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,4.0,360.0,2.0,5.0,103035.0,101501.0,118905.0,37,31,Cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,101501.0,118905.0,107813.66666666669,20,11,212,7,2,1,2,1,0,0,1,0,0,0,0,0,0,0,0,0,1,214.0,90.0,82.0,90.0,88.0 +77.0,4,3,15.0,53,4628550.0,39.0,3.0,82907.0,251.544,bottas,77.0,Finnish,mercedes,German,2018,14,Italian Grand Prix,47400000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,415.0,1.0,6.0,81381.0,80427.0,79656.0,35,29,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,79656.0,81381.0,80488.0,24,5,112,5,5,0,2,2,0,1,1,0,0,0,0,0,1,0,0,0,0,112.0,80.0,79.0,81.0,78.0 +9.0,18,15,0.0,52,,46.0,15.0,84767.0,246.024,ericsson,9.0,Swedish,sauber,Swiss,2018,14,Italian Grand Prix,47400000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,19.0,9.0,0.0,82048.0,82048.0,82048.0,34,28,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,82048.0,82048.0,82048.0,24,4,90,0,0,0,0,0,0,0,0,2,2,2,0,2,0,2,1,0,1,91.0,83.0,77.0,75.0,75.0 +10.0,9,14,0.0,52,,47.0,10.0,84059.0,248.097,gasly,10.0,French,toro_rosso,Italian,2018,14,Italian Grand Prix,47400000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,30.0,8.0,0.0,81834.0,81667.0,81350.0,28,22,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,81350.0,81834.0,81617.0,21,1,19,0,0,0,1,0,1,1,0,1,0,2,1,1,1,0,0,0,2,58.0,72.0,78.0,73.0,72.0 +44.0,3,1,25.0,53,4614484.0,30.0,1.0,82497.0,252.794,hamilton,44.0,British,mercedes,German,2018,14,Italian Grand Prix,47400000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,5.0,415.0,1.0,6.0,80810.0,79798.0,79294.0,39,33,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,79294.0,80810.0,79967.33333333333,22,11,222,10,3,2,1,1,0,0,0,0,0,0,0,0,0,0,1,0,0,220.0,91.0,79.0,86.0,86.0 +27.0,20,13,0.0,52,,47.0,16.0,84772.0,246.01,hulkenberg,27.0,German,renault,French,2018,14,Italian Grand Prix,47400000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,86.0,4.0,0.0,81801.0,81801.0,81801.0,37,31,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,81801.0,81801.0,81801.0,23,8,151,0,0,0,0,1,3,2,1,1,0,0,1,0,0,0,0,0,1,152.0,88.0,78.0,87.0,84.0 +20.0,11,16,0.0,52,,44.0,7.0,83768.0,248.959,kevin_magnussen,20.0,Danish,haas,American,2018,14,Italian Grand Prix,47400000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,76.0,5.0,0.0,81783.0,81669.0,81669.0,32,26,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,81669.0,81783.0,81707.0,22,4,75,0,0,0,0,2,2,1,1,1,1,1,0,3,0,0,0,1,0,74.0,75.0,75.0,72.0,71.0 +16.0,15,11,0.0,52,,52.0,8.0,83768.0,248.959,leclerc,16.0,Monegasque,sauber,Swiss,2018,14,Italian Grand Prix,47400000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,19.0,9.0,0.0,81889.0,81889.0,81889.0,27,21,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,81889.0,81889.0,81889.0,21,0,14,0,0,0,0,0,1,0,0,1,3,0,1,1,0,1,0,0,2,58.0,72.0,78.0,73.0,72.0 +33.0,5,5,10.0,53,4632692.0,41.0,6.0,83609.0,249.432,max_verstappen,33.0,Dutch,red_bull,Austrian,2018,14,Italian Grand Prix,47400000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,1.0,248.0,3.0,3.0,81381.0,80333.0,80615.0,27,21,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,80333.0,81381.0,80776.33333333333,18,3,74,5,1,3,1,1,1,0,0,1,0,0,0,0,0,1,1,0,0,74.0,75.0,75.0,72.0,71.0 +31.0,8,6,8.0,53,4672245.0,48.0,12.0,84243.0,247.555,ocon,31.0,French,force_india,Indian,2018,14,Italian Grand Prix,47400000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,32.0,7.0,0.0,81570.0,81315.0,81099.0,28,22,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,81099.0,81570.0,81328.0,20,2,43,0,0,0,0,0,3,1,1,1,1,1,1,1,0,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +11.0,14,7,6.0,53,4673162.0,44.0,11.0,84179.0,247.743,perez,11.0,Mexican,force_india,Indian,2018,14,Italian Grand Prix,47400000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,32.0,7.0,0.0,81888.0,81888.0,81888.0,34,28,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,81888.0,81888.0,81888.0,21,7,150,1,0,1,0,1,0,2,0,1,1,1,2,0,2,0,1,0,1,152.0,88.0,78.0,87.0,84.0 +7.0,1,2,18.0,53,4623189.0,28.0,4.0,83515.0,249.713,raikkonen,7.0,Finnish,ferrari,Italian,2018,14,Italian Grand Prix,47400000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,390.0,2.0,5.0,80722.0,79846.0,79119.0,45,39,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,79119.0,80722.0,79895.66666666667,27,12,200,8,2,6,1,0,1,0,0,0,0,0,0,0,0,0,0,2,1,200.0,86.0,85.0,88.0,86.0 +55.0,7,8,4.0,53,4692624.0,43.0,5.0,83529.0,249.671,sainz,55.0,Spanish,renault,French,2018,14,Italian Grand Prix,47400000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,86.0,4.0,0.0,81732.0,81552.0,81041.0,30,24,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,81041.0,81732.0,81441.66666666667,21,3,74,0,0,0,0,1,0,1,2,2,2,2,2,0,0,0,0,1,0,74.0,75.0,75.0,72.0,71.0 +35.0,12,10,1.0,52,,39.0,14.0,84580.0,246.568,sirotkin,35.0,Russian,williams,British,2018,14,Italian Grand Prix,47400000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,7.0,10.0,0.0,81813.0,81732.0,81732.0,29,23,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,81732.0,81813.0,81759.0,23,0,14,0,0,0,0,0,0,0,0,0,0,0,1,1,2,3,2,1,0,58.0,72.0,78.0,73.0,72.0 +18.0,10,9,2.0,52,,52.0,9.0,84056.0,248.106,stroll,18.0,Canadian,williams,British,2018,14,Italian Grand Prix,47400000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,7.0,10.0,0.0,81838.0,81494.0,81627.0,26,20,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,81494.0,81838.0,81653.0,19,1,34,0,0,0,0,0,0,0,1,0,0,1,1,1,4,0,0,4,0,58.0,72.0,78.0,73.0,72.0 +2.0,17,12,0.0,52,,52.0,13.0,84504.0,246.79,vandoorne,2.0,Belgian,mclaren,British,2018,14,Italian Grand Prix,47400000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,52.0,6.0,0.0,82085.0,82085.0,82085.0,32,26,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,82085.0,82085.0,82085.0,24,2,35,0,0,0,0,0,0,0,1,2,0,1,1,2,1,3,1,0,1,58.0,72.0,78.0,73.0,72.0 +5.0,2,4,12.0,53,4630635.0,51.0,2.0,82505.0,252.77,vettel,5.0,German,ferrari,Italian,2018,14,Italian Grand Prix,47400000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,5.0,390.0,2.0,5.0,80542.0,79629.0,79280.0,37,31,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,79280.0,80542.0,79817.0,20,11,213,8,2,1,2,1,0,0,1,0,0,0,0,0,0,0,0,0,1,214.0,90.0,82.0,90.0,88.0 +14.0,11,7,6.0,61,6774612.0,57.0,4.0,103164.0,176.677,alonso,14.0,Spanish,mclaren,British,2018,15,Singapore Grand Prix,43800000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,58.0,6.0,0.0,99022.0,98641.0,98641.0,43,37,Clear,1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,98641.0,99022.0,98768.0,25,12,238,0,0,0,0,1,0,3,4,0,0,0,0,0,0,0,2,0,2,238.0,88.0,88.0,85.0,86.0 +77.0,4,4,12.0,61,6723541.0,42.0,8.0,104720.0,174.052,bottas,77.0,Finnish,mercedes,German,2018,15,Singapore Grand Prix,43800000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,452.0,1.0,7.0,99291.0,97254.0,96702.0,35,29,Clear,1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,96702.0,99291.0,97749.0,24,5,113,6,5,1,2,2,0,1,1,0,0,0,0,0,1,0,0,0,0,112.0,80.0,79.0,81.0,78.0 +28.0,17,17,0.0,60,,38.0,9.0,104889.0,173.772,brendon_hartley,28.0,New Zealander,toro_rosso,Italian,2018,15,Singapore Grand Prix,43800000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,+1 Lap,0.0,30.0,8.0,0.0,99809.0,99809.0,99809.0,35,29,Clear,1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,99809.0,99809.0,99809.0,28,1,19,0,0,0,0,0,0,0,0,0,2,1,1,0,2,1,0,2,0,58.0,72.0,78.0,73.0,72.0 +9.0,14,11,0.0,60,,50.0,10.0,105169.0,173.309,ericsson,9.0,Swedish,sauber,Swiss,2018,15,Singapore Grand Prix,43800000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,+1 Lap,0.0,21.0,9.0,0.0,99366.0,99453.0,99453.0,34,28,Clear,1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,99366.0,99453.0,99424.0,24,4,91,0,0,0,0,0,0,0,0,2,2,2,0,2,0,3,1,0,1,96.0,84.0,79.0,78.0,77.0 +10.0,15,13,0.0,60,,56.0,18.0,106063.0,171.848,gasly,10.0,French,toro_rosso,Italian,2018,15,Singapore Grand Prix,43800000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,+1 Lap,0.0,30.0,8.0,0.0,99614.0,99691.0,99691.0,28,22,Clear,1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,99614.0,99691.0,99665.33333333331,21,1,20,0,0,0,1,0,1,1,0,1,0,2,1,1,2,0,0,0,2,58.0,72.0,78.0,73.0,72.0 +8.0,8,15,0.0,60,,57.0,16.0,105904.0,172.106,grosjean,8.0,French,haas,American,2018,15,Singapore Grand Prix,43800000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,+1 Lap,0.0,76.0,5.0,0.0,98685.0,98367.0,98320.0,38,32,Clear,1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,98320.0,98685.0,98457.33333333331,23,9,139,0,0,0,1,0,1,1,0,0,1,1,1,1,0,2,2,1,1,137.0,87.0,90.0,80.0,83.0 +44.0,1,1,25.0,61,6671611.0,56.0,2.0,102913.0,177.108,hamilton,44.0,British,mercedes,German,2018,15,Singapore Grand Prix,43800000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,6.0,452.0,1.0,7.0,99403.0,97344.0,96015.0,39,33,Clear,1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,96015.0,99403.0,97587.33333333331,22,11,223,11,3,2,1,1,0,0,0,0,0,0,0,0,0,0,1,0,0,220.0,91.0,79.0,86.0,86.0 +27.0,10,10,1.0,60,,53.0,19.0,106093.0,171.8,hulkenberg,27.0,German,renault,French,2018,15,Singapore Grand Prix,43800000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,+1 Lap,0.0,91.0,4.0,0.0,98932.0,98450.0,98588.0,37,31,Clear,1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,98450.0,98932.0,98656.66666666669,23,8,152,0,0,0,0,1,3,2,1,1,0,0,1,1,0,0,0,0,1,152.0,88.0,78.0,87.0,84.0 +20.0,16,18,0.0,59,,50.0,1.0,101905.0,178.86,kevin_magnussen,20.0,Danish,haas,American,2018,15,Singapore Grand Prix,43800000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,+2 Laps,0.0,76.0,5.0,0.0,99644.0,99644.0,99644.0,32,26,Clear,1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,99644.0,99644.0,99644.0,22,4,76,0,0,0,0,2,2,1,1,1,1,1,0,3,0,0,1,1,0,74.0,75.0,75.0,72.0,71.0 +16.0,13,9,2.0,60,,57.0,11.0,105203.0,173.253,leclerc,16.0,Monegasque,sauber,Swiss,2018,15,Singapore Grand Prix,43800000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,+1 Lap,0.0,21.0,9.0,0.0,99206.0,98747.0,98747.0,27,21,Clear,1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,98747.0,99206.0,98900.0,21,0,15,0,0,0,0,0,1,0,0,1,3,1,1,1,0,1,0,0,2,58.0,72.0,78.0,73.0,72.0 +33.0,2,2,18.0,61,6680572.0,54.0,5.0,103345.0,176.368,max_verstappen,33.0,Dutch,red_bull,Austrian,2018,15,Singapore Grand Prix,43800000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,1.0,274.0,3.0,3.0,98751.0,97214.0,96334.0,27,21,Clear,1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,96334.0,98751.0,97433.0,18,3,75,5,1,3,1,2,1,0,0,1,0,0,0,0,0,1,1,0,0,74.0,75.0,75.0,72.0,71.0 +11.0,7,16,0.0,60,,48.0,13.0,105389.0,172.947,perez,11.0,Mexican,force_india,Indian,2018,15,Singapore Grand Prix,43800000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,+1 Lap,0.0,32.0,7.0,0.0,98814.0,98342.0,97985.0,34,28,Clear,1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,97985.0,98814.0,98380.33333333331,21,7,151,1,0,1,0,1,0,3,0,1,1,1,2,0,2,0,1,0,1,152.0,88.0,78.0,87.0,84.0 +7.0,5,5,10.0,61,6724612.0,46.0,7.0,104715.0,174.061,raikkonen,7.0,Finnish,ferrari,Italian,2018,15,Singapore Grand Prix,43800000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,415.0,2.0,5.0,98534.0,97194.0,96794.0,45,39,Clear,1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,96794.0,98534.0,97507.33333333331,27,12,201,9,3,6,1,0,1,0,0,0,0,0,0,0,0,0,0,2,1,203.0,84.0,82.0,87.0,85.0 +3.0,6,6,8.0,61,6725593.0,59.0,3.0,103120.0,176.753,ricciardo,3.0,Australian,red_bull,Austrian,2018,15,Singapore Grand Prix,43800000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,2.0,274.0,3.0,3.0,98153.0,97406.0,96996.0,35,29,Clear,1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,96996.0,98153.0,97518.33333333331,22,7,144,2,0,0,4,2,0,0,0,0,0,0,0,0,0,0,1,2,1,147.0,88.0,80.0,84.0,83.0 +55.0,12,8,4.0,60,,50.0,12.0,105211.0,173.24,sainz,55.0,Spanish,renault,French,2018,15,Singapore Grand Prix,43800000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,+1 Lap,0.0,91.0,4.0,0.0,99103.0,98716.0,98716.0,30,24,Clear,1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,98716.0,99103.0,98845.0,21,3,75,0,0,0,0,1,0,1,3,2,2,2,2,0,0,0,0,1,0,74.0,75.0,75.0,72.0,71.0 +35.0,19,19,0.0,59,,48.0,15.0,105902.0,172.11,sirotkin,35.0,Russian,williams,British,2018,15,Singapore Grand Prix,43800000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,+2 Laps,0.0,7.0,10.0,0.0,101263.0,101263.0,101263.0,29,23,Clear,1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,101263.0,101263.0,101263.0,23,0,15,0,0,0,0,0,0,0,0,0,1,0,1,1,2,3,2,1,0,58.0,72.0,78.0,73.0,72.0 +18.0,20,14,0.0,60,,53.0,17.0,106033.0,171.897,stroll,18.0,Canadian,williams,British,2018,15,Singapore Grand Prix,43800000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,+1 Lap,0.0,7.0,10.0,0.0,101334.0,101334.0,101334.0,26,20,Clear,1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,101334.0,101334.0,101334.0,19,1,35,0,0,0,0,0,0,0,1,1,0,1,1,1,4,0,0,4,0,58.0,72.0,78.0,73.0,72.0 +2.0,18,12,0.0,60,,50.0,14.0,105555.0,172.675,vandoorne,2.0,Belgian,mclaren,British,2018,15,Singapore Grand Prix,43800000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,+1 Lap,0.0,58.0,6.0,0.0,99864.0,99864.0,99864.0,32,26,Clear,1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,99864.0,99864.0,99864.0,24,2,36,0,0,0,0,0,0,0,1,2,0,1,2,2,1,3,1,0,1,58.0,72.0,78.0,73.0,72.0 +5.0,3,3,15.0,61,6711595.0,48.0,6.0,104669.0,174.137,vettel,5.0,German,ferrari,Italian,2018,15,Singapore Grand Prix,43800000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,5.0,415.0,2.0,5.0,98218.0,97876.0,96628.0,37,31,Clear,1,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,96628.0,98218.0,97574.0,20,11,214,8,2,1,3,1,0,0,1,0,0,0,0,0,0,0,0,0,1,214.0,90.0,82.0,90.0,88.0 +14.0,16,14,0.0,52,,44.0,15.0,99590.0,211.394,alonso,14.0,Spanish,mclaren,British,2018,16,Russian Grand Prix,40200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,+1 Lap,0.0,58.0,6.0,0.0,95504.0,95504.0,95504.0,43,37,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.848,53.0,309.745,95504.0,95504.0,95504.0,25,12,239,0,0,0,0,1,0,4,4,0,0,0,0,0,0,0,2,0,2,238.0,88.0,88.0,85.0,86.0 +77.0,1,2,18.0,53,5247726.0,50.0,1.0,95861.0,219.617,bottas,77.0,Finnish,mercedes,German,2018,16,Russian Grand Prix,40200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,0.0,495.0,1.0,8.0,92964.0,92744.0,91387.0,35,29,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.848,53.0,309.745,91387.0,92964.0,92365.0,24,5,114,6,5,1,3,2,0,1,1,0,0,0,0,0,1,0,0,0,0,115.0,80.0,78.0,82.0,78.0 +9.0,10,13,0.0,52,,39.0,7.0,97931.0,214.975,ericsson,9.0,Swedish,sauber,Swiss,2018,16,Russian Grand Prix,40200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,+1 Lap,0.0,27.0,9.0,0.0,94170.0,93995.0,95196.0,34,28,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.848,53.0,309.745,93995.0,95196.0,94453.66666666669,24,4,92,0,0,0,0,0,0,0,0,2,2,3,0,2,0,3,1,0,1,96.0,84.0,79.0,78.0,77.0 +8.0,9,11,0.0,52,,46.0,10.0,98244.0,214.29,grosjean,8.0,French,haas,American,2018,16,Russian Grand Prix,40200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,+1 Lap,0.0,80.0,5.0,0.0,94022.0,93517.0,93704.0,38,32,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.848,53.0,309.745,93517.0,94022.0,93747.66666666669,23,9,140,0,0,0,1,0,1,1,0,0,1,1,1,1,0,3,2,1,1,139.0,90.0,87.0,80.0,83.0 +44.0,2,1,25.0,53,5245181.0,50.0,2.0,95916.0,219.492,hamilton,44.0,British,mercedes,German,2018,16,Russian Grand Prix,40200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,7.0,495.0,1.0,8.0,92410.0,92595.0,91532.0,39,33,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.848,53.0,309.745,91532.0,92595.0,92179.0,22,11,224,12,3,2,1,1,0,0,0,0,0,0,0,0,0,0,1,0,0,220.0,91.0,79.0,86.0,86.0 +27.0,12,12,0.0,52,,52.0,13.0,99108.0,212.422,hulkenberg,27.0,German,renault,French,2018,16,Russian Grand Prix,40200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,+1 Lap,0.0,91.0,4.0,0.0,94655.0,94655.0,94655.0,37,31,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.848,53.0,309.745,94655.0,94655.0,94655.0,23,8,153,0,0,0,0,1,3,2,1,1,1,0,1,1,0,0,0,0,1,152.0,88.0,78.0,87.0,84.0 +20.0,5,8,4.0,52,,52.0,8.0,98015.0,214.791,kevin_magnussen,20.0,Danish,haas,American,2018,16,Russian Grand Prix,40200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,+1 Lap,0.0,80.0,5.0,0.0,94078.0,93747.0,93181.0,32,26,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.848,53.0,309.745,93181.0,94078.0,93668.66666666669,22,4,77,0,0,0,0,2,2,1,1,1,1,1,0,3,0,0,1,1,1,74.0,75.0,75.0,72.0,71.0 +16.0,7,7,6.0,53,5343571.0,52.0,9.0,98107.0,214.59,leclerc,16.0,Monegasque,sauber,Swiss,2018,16,Russian Grand Prix,40200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,0.0,27.0,9.0,0.0,93924.0,93488.0,93419.0,27,21,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.848,53.0,309.745,93419.0,93924.0,93610.33333333331,21,0,16,0,0,0,0,0,1,0,0,2,3,1,1,1,0,1,0,0,2,58.0,72.0,78.0,73.0,72.0 +33.0,19,5,10.0,53,5276197.0,45.0,4.0,96283.0,218.655,max_verstappen,33.0,Dutch,red_bull,Austrian,2018,16,Russian Grand Prix,40200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,1.0,292.0,3.0,3.0,93048.0,93048.0,93048.0,27,21,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.848,53.0,309.745,93048.0,93048.0,93048.0,18,3,76,6,2,3,1,2,1,0,0,1,0,0,0,0,0,1,1,0,0,74.0,75.0,75.0,72.0,71.0 +31.0,6,9,2.0,52,,52.0,12.0,98366.0,214.025,ocon,31.0,French,force_india,Indian,2018,16,Russian Grand Prix,40200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,+1 Lap,0.0,35.0,7.0,0.0,94290.0,93596.0,93413.0,28,22,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.848,53.0,309.745,93413.0,94290.0,93766.33333333331,20,2,45,0,0,0,0,0,4,1,1,1,1,1,1,1,0,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +11.0,8,10,1.0,52,,47.0,11.0,98300.0,214.168,perez,11.0,Mexican,force_india,Indian,2018,16,Russian Grand Prix,40200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,+1 Lap,0.0,35.0,7.0,0.0,94084.0,93923.0,93563.0,34,28,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.848,53.0,309.745,93563.0,94084.0,93856.66666666669,21,7,152,1,0,1,0,1,0,3,0,1,1,1,2,0,2,0,2,0,1,152.0,88.0,78.0,87.0,84.0 +7.0,4,4,12.0,53,5261724.0,47.0,6.0,96611.0,217.913,raikkonen,7.0,Finnish,ferrari,Italian,2018,16,Russian Grand Prix,40200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,0.0,442.0,2.0,5.0,93341.0,93065.0,92237.0,45,39,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.848,53.0,309.745,92237.0,93341.0,92881.0,27,12,202,9,3,6,1,1,1,0,0,0,0,0,0,0,0,0,0,2,1,203.0,84.0,82.0,87.0,85.0 +3.0,18,6,8.0,53,5325632.0,41.0,5.0,96345.0,218.514,ricciardo,3.0,Australian,red_bull,Austrian,2018,16,Russian Grand Prix,40200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,2.0,292.0,3.0,3.0,93247.0,93247.0,93247.0,35,29,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.848,53.0,309.745,93247.0,93247.0,93247.0,22,7,145,2,0,0,4,2,1,0,0,0,0,0,0,0,0,0,1,2,1,147.0,88.0,80.0,84.0,83.0 +55.0,11,17,0.0,51,,35.0,16.0,99731.0,211.095,sainz,55.0,Spanish,renault,French,2018,16,Russian Grand Prix,40200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,+2 Laps,0.0,91.0,4.0,0.0,94626.0,94626.0,94626.0,30,24,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.848,53.0,309.745,94626.0,94626.0,94626.0,21,3,76,0,0,0,0,1,0,1,4,2,2,2,2,0,0,0,0,1,0,74.0,75.0,75.0,72.0,71.0 +35.0,13,18,0.0,51,,43.0,17.0,99838.0,210.869,sirotkin,35.0,Russian,williams,British,2018,16,Russian Grand Prix,40200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,+2 Laps,0.0,7.0,10.0,0.0,95612.0,95612.0,95612.0,29,23,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.848,53.0,309.745,95612.0,95612.0,95612.0,23,0,16,0,0,0,0,0,0,0,0,0,1,0,1,1,2,3,2,1,0,58.0,72.0,78.0,73.0,72.0 +18.0,14,15,0.0,52,,44.0,14.0,99435.0,211.724,stroll,18.0,Canadian,williams,British,2018,16,Russian Grand Prix,40200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,+1 Lap,0.0,7.0,10.0,0.0,96437.0,96437.0,96437.0,26,20,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.848,53.0,309.745,96437.0,96437.0,96437.0,19,1,36,0,0,0,0,0,0,0,1,1,0,1,1,1,5,0,0,4,0,58.0,72.0,78.0,73.0,72.0 +2.0,15,16,0.0,51,,41.0,18.0,99922.0,210.692,vandoorne,2.0,Belgian,mclaren,British,2018,16,Russian Grand Prix,40200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,+2 Laps,0.0,58.0,6.0,0.0,95977.0,95977.0,95977.0,32,26,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.848,53.0,309.745,95977.0,95977.0,95977.0,24,2,37,0,0,0,0,0,0,0,1,2,0,1,3,2,1,3,1,0,1,72.0,76.0,76.0,76.0,74.0 +5.0,3,3,15.0,53,5252668.0,50.0,3.0,95990.0,219.322,vettel,5.0,German,ferrari,Italian,2018,16,Russian Grand Prix,40200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,5.0,442.0,2.0,5.0,93476.0,93045.0,91943.0,37,31,Cloudy,0,0,0,0,1,Race circuit,Clockwise,5.848,53.0,309.745,91943.0,93476.0,92821.33333333331,20,11,215,9,2,2,3,1,0,0,1,0,0,0,0,0,0,0,0,0,1,215.0,89.0,83.0,90.0,88.0 +14.0,18,14,0.0,52,,28.0,7.0,93943.0,222.53,alonso,14.0,Spanish,mclaren,British,2018,17,Japanese Grand Prix,18600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+1 Lap,0.0,58.0,6.0,0.0,90573.0,90573.0,90573.0,43,37,Partly cloudy,0,0,0,0,1,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,90573.0,90573.0,90573.0,25,12,240,0,0,0,0,1,0,4,4,0,0,0,0,0,1,0,2,0,2,238.0,88.0,88.0,85.0,86.0 +77.0,2,2,18.0,53,5249981.0,46.0,3.0,93110.0,224.521,bottas,77.0,Finnish,mercedes,German,2018,17,Japanese Grand Prix,18600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,538.0,1.0,9.0,89297.0,87987.0,88059.0,35,29,Partly cloudy,0,0,0,0,1,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,87987.0,89297.0,88447.66666666667,24,5,115,7,6,1,3,2,0,1,1,0,0,0,0,0,1,0,0,0,0,115.0,80.0,78.0,82.0,78.0 +28.0,6,13,0.0,52,,30.0,16.0,94857.0,220.386,brendon_hartley,28.0,New Zealander,toro_rosso,Italian,2018,17,Japanese Grand Prix,18600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+1 Lap,0.0,30.0,8.0,0.0,90248.0,89848.0,90023.0,35,29,Partly cloudy,0,0,0,0,1,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,89848.0,90248.0,90039.66666666667,28,1,21,0,0,0,0,0,0,0,0,0,2,1,1,0,2,1,0,3,0,58.0,72.0,78.0,73.0,72.0 +9.0,20,12,0.0,52,,8.0,19.0,96294.0,217.097,ericsson,9.0,Swedish,sauber,Swiss,2018,17,Japanese Grand Prix,18600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+1 Lap,0.0,27.0,9.0,0.0,91213.0,91213.0,91213.0,34,28,Partly cloudy,0,0,0,0,1,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,91213.0,91213.0,91213.0,24,4,93,0,0,0,0,0,0,0,0,2,2,3,0,3,0,3,1,0,1,96.0,84.0,79.0,78.0,77.0 +10.0,7,11,0.0,52,,35.0,10.0,94133.0,222.081,gasly,10.0,French,toro_rosso,Italian,2018,17,Japanese Grand Prix,18600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+1 Lap,0.0,30.0,8.0,0.0,90137.0,89810.0,90093.0,28,22,Partly cloudy,0,0,0,0,1,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,89810.0,90137.0,90013.33333333333,21,1,22,0,0,0,1,0,1,1,0,1,0,2,1,2,2,0,0,0,2,58.0,72.0,78.0,73.0,72.0 +8.0,5,8,4.0,53,5324260.0,47.0,15.0,94786.0,220.551,grosjean,8.0,French,haas,American,2018,17,Japanese Grand Prix,18600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,84.0,5.0,0.0,89724.0,89678.0,89761.0,38,32,Partly cloudy,0,0,0,0,1,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,89678.0,89761.0,89721.0,23,9,141,0,0,0,1,0,1,1,0,0,1,2,1,1,0,3,2,1,1,141.0,89.0,85.0,83.0,83.0 +44.0,1,1,25.0,53,5237062.0,51.0,2.0,92785.0,225.307,hamilton,44.0,British,mercedes,German,2018,17,Japanese Grand Prix,18600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,8.0,538.0,1.0,9.0,88702.0,88017.0,87760.0,39,33,Partly cloudy,0,0,0,0,1,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,87760.0,88702.0,88159.66666666667,22,11,225,13,3,2,1,1,0,0,0,0,0,0,0,0,0,0,1,0,0,223.0,91.0,82.0,86.0,87.0 +33.0,3,3,15.0,53,5251357.0,50.0,6.0,93367.0,223.903,max_verstappen,33.0,Dutch,red_bull,Austrian,2018,17,Japanese Grand Prix,18600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,1.0,319.0,3.0,3.0,89480.0,88849.0,89057.0,27,21,Partly cloudy,0,0,0,0,1,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,88849.0,89480.0,89128.66666666667,18,3,77,6,2,3,1,3,1,0,0,1,0,0,0,0,0,1,1,0,0,74.0,75.0,75.0,72.0,71.0 +31.0,11,9,2.0,53,5325117.0,50.0,14.0,94670.0,220.821,ocon,31.0,French,force_india,Indian,2018,17,Japanese Grand Prix,18600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,43.0,7.0,0.0,89899.0,89538.0,90126.0,28,22,Partly cloudy,0,0,0,0,1,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,89538.0,90126.0,89854.33333333333,20,2,46,0,0,0,0,0,4,1,1,2,1,1,1,1,0,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +11.0,9,7,6.0,53,5316441.0,43.0,9.0,94073.0,222.223,perez,11.0,Mexican,force_india,Indian,2018,17,Japanese Grand Prix,18600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,43.0,7.0,0.0,90247.0,89567.0,97229.0,34,28,Partly cloudy,0,0,0,0,1,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,89567.0,97229.0,92347.66666666669,21,7,153,1,0,1,0,1,0,3,0,1,2,1,2,0,2,0,2,0,1,152.0,88.0,78.0,87.0,84.0 +7.0,4,5,10.0,53,5288060.0,28.0,12.0,94223.0,221.869,raikkonen,7.0,Finnish,ferrari,Italian,2018,17,Japanese Grand Prix,18600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,460.0,2.0,5.0,89631.0,88595.0,89521.0,45,39,Partly cloudy,0,0,0,0,1,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,88595.0,89631.0,89249.0,27,12,203,9,3,6,2,1,1,0,0,0,0,0,0,0,0,0,0,2,1,207.0,83.0,82.0,86.0,84.0 +3.0,15,4,12.0,53,5256557.0,50.0,4.0,93187.0,224.336,ricciardo,3.0,Australian,red_bull,Austrian,2018,17,Japanese Grand Prix,18600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,2.0,319.0,3.0,3.0,89806.0,89806.0,89806.0,35,29,Partly cloudy,0,0,0,0,1,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,89806.0,89806.0,89806.0,22,7,146,2,0,0,4,2,2,0,0,0,0,0,0,0,0,0,1,2,1,147.0,88.0,80.0,84.0,83.0 +55.0,13,10,1.0,52,,50.0,11.0,94197.0,221.93,sainz,55.0,Spanish,renault,French,2018,17,Japanese Grand Prix,18600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+1 Lap,0.0,92.0,4.0,0.0,90236.0,90490.0,90490.0,30,24,Partly cloudy,0,0,0,0,1,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,90236.0,90490.0,90405.33333333331,21,3,77,0,0,0,0,1,0,1,4,2,2,2,2,0,0,0,0,2,0,74.0,75.0,75.0,72.0,71.0 +35.0,17,16,0.0,52,,41.0,8.0,93985.0,222.431,sirotkin,35.0,Russian,williams,British,2018,17,Japanese Grand Prix,18600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+1 Lap,0.0,7.0,10.0,0.0,90372.0,90372.0,90372.0,29,23,Partly cloudy,0,0,0,0,1,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,90372.0,90372.0,90372.0,23,0,17,0,0,0,0,0,0,0,0,0,1,0,1,1,2,3,2,1,1,58.0,72.0,78.0,73.0,72.0 +18.0,14,17,0.0,52,,41.0,5.0,93354.0,223.934,stroll,18.0,Canadian,williams,British,2018,17,Japanese Grand Prix,18600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+1 Lap,0.0,7.0,10.0,0.0,90317.0,90714.0,90714.0,26,20,Partly cloudy,0,0,0,0,1,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,90317.0,90714.0,90581.66666666669,19,1,37,0,0,0,0,0,0,0,1,1,0,1,1,1,5,1,0,4,0,72.0,76.0,76.0,76.0,74.0 +2.0,19,15,0.0,52,,25.0,18.0,95023.0,220.001,vandoorne,2.0,Belgian,mclaren,British,2018,17,Japanese Grand Prix,18600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+1 Lap,0.0,58.0,6.0,0.0,91041.0,91041.0,91041.0,32,26,Partly cloudy,0,0,0,0,1,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,91041.0,91041.0,91041.0,24,2,38,0,0,0,0,0,0,0,1,2,0,1,3,2,1,3,2,0,1,72.0,76.0,76.0,76.0,74.0 +5.0,8,6,8.0,53,5306935.0,53.0,1.0,92318.0,226.447,vettel,5.0,German,ferrari,Italian,2018,17,Japanese Grand Prix,18600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,5.0,460.0,2.0,5.0,89049.0,88279.0,92192.0,37,31,Partly cloudy,0,0,0,0,1,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,88279.0,92192.0,89840.0,20,11,216,10,2,3,3,1,0,0,1,0,0,0,0,0,0,0,0,0,1,215.0,89.0,83.0,90.0,88.0 +77.0,3,5,10.0,56,5683387.0,46.0,4.0,98470.0,201.551,bottas,77.0,Finnish,mercedes,German,2018,18,United States Grand Prix,65400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,0.0,563.0,1.0,9.0,94518.0,93702.0,92616.0,35,29,Partly cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,92616.0,94518.0,93612.0,24,5,116,8,7,1,3,2,0,1,1,0,0,0,0,0,1,0,0,0,0,115.0,80.0,78.0,82.0,78.0 +28.0,20,9,2.0,55,,32.0,6.0,98963.0,200.547,brendon_hartley,28.0,New Zealander,toro_rosso,Italian,2018,18,United States Grand Prix,65400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,+1 Lap,0.0,32.0,8.0,0.0,95206.0,95206.0,95206.0,35,29,Partly cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,95206.0,95206.0,95206.0,28,1,22,0,0,0,0,0,0,0,0,0,2,1,1,1,2,1,0,3,0,58.0,72.0,78.0,73.0,72.0 +9.0,16,10,1.0,55,,36.0,9.0,99569.0,199.327,ericsson,9.0,Swedish,sauber,Swiss,2018,18,United States Grand Prix,65400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,+1 Lap,0.0,28.0,9.0,0.0,95536.0,95536.0,95536.0,34,28,Partly cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,95536.0,95536.0,95536.0,24,4,94,0,0,0,0,0,0,0,0,2,2,3,1,3,0,3,1,0,1,96.0,84.0,79.0,78.0,77.0 +10.0,19,12,0.0,55,,33.0,14.0,100098.0,198.273,gasly,10.0,French,toro_rosso,Italian,2018,18,United States Grand Prix,65400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,+1 Lap,0.0,32.0,8.0,0.0,94850.0,94850.0,94850.0,28,22,Partly cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,94850.0,94850.0,94850.0,21,1,23,0,0,0,1,0,1,1,0,1,0,3,1,2,2,0,0,0,2,58.0,72.0,78.0,73.0,72.0 +44.0,1,3,15.0,56,5660985.0,40.0,1.0,97392.0,203.782,hamilton,44.0,British,mercedes,German,2018,18,United States Grand Prix,65400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,9.0,563.0,1.0,9.0,94130.0,93480.0,92237.0,39,33,Partly cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,92237.0,94130.0,93282.33333333331,22,11,226,14,3,2,1,1,0,0,0,0,0,0,0,0,0,0,1,0,0,223.0,91.0,82.0,86.0,87.0 +27.0,7,6,8.0,56,5745853.0,51.0,8.0,99548.0,199.369,hulkenberg,27.0,German,renault,French,2018,18,United States Grand Prix,65400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,0.0,106.0,4.0,0.0,94932.0,94564.0,94215.0,37,31,Partly cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,94215.0,94932.0,94570.33333333331,23,8,155,0,0,0,0,1,3,2,1,1,1,0,2,1,0,0,0,0,1,157.0,91.0,83.0,88.0,87.0 +33.0,18,2,18.0,56,5659924.0,45.0,2.0,98246.0,202.011,max_verstappen,33.0,Dutch,red_bull,Austrian,2018,18,United States Grand Prix,65400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,1.0,337.0,3.0,3.0,94766.0,94766.0,94766.0,27,21,Partly cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,94766.0,94766.0,94766.0,18,3,78,7,2,4,1,3,1,0,0,1,0,0,0,0,0,1,1,0,0,74.0,75.0,75.0,72.0,71.0 +11.0,10,8,4.0,56,5759723.0,45.0,13.0,99992.0,198.483,perez,11.0,Mexican,force_india,Indian,2018,18,United States Grand Prix,65400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,0.0,47.0,7.0,0.0,95193.0,94525.0,94594.0,34,28,Partly cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,94525.0,95193.0,94770.66666666669,21,7,154,1,0,1,0,1,0,4,0,1,2,1,2,0,2,0,2,0,1,152.0,88.0,78.0,87.0,84.0 +7.0,2,1,25.0,56,5658643.0,45.0,5.0,98482.0,201.527,raikkonen,7.0,Finnish,ferrari,Italian,2018,18,United States Grand Prix,65400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,0.0,497.0,2.0,6.0,94703.0,92884.0,92307.0,45,39,Partly cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,92307.0,94703.0,93298.0,27,12,204,9,3,6,2,2,1,0,0,0,0,0,0,0,0,0,0,2,1,207.0,83.0,82.0,86.0,84.0 +55.0,11,7,6.0,56,5753637.0,45.0,11.0,99858.0,198.75,sainz,55.0,Spanish,renault,French,2018,18,United States Grand Prix,65400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,0.0,106.0,4.0,0.0,94891.0,94566.0,94566.0,30,24,Partly cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,94566.0,94891.0,94674.33333333331,21,3,78,0,0,0,0,1,0,1,4,2,3,2,2,0,0,0,0,2,0,74.0,75.0,75.0,72.0,71.0 +35.0,14,13,0.0,55,,42.0,7.0,99240.0,199.987,sirotkin,35.0,Russian,williams,British,2018,18,United States Grand Prix,65400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,+1 Lap,0.0,7.0,10.0,0.0,95362.0,95362.0,95362.0,29,23,Partly cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,95362.0,95362.0,95362.0,23,0,18,0,0,0,0,0,0,0,0,0,1,0,1,1,2,3,3,1,1,58.0,72.0,78.0,73.0,72.0 +18.0,15,14,0.0,54,,38.0,10.0,99646.0,199.173,stroll,18.0,Canadian,williams,British,2018,18,United States Grand Prix,65400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,+2 Laps,0.0,7.0,10.0,0.0,95480.0,95480.0,95480.0,26,20,Partly cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,95480.0,95480.0,95480.0,19,1,38,0,0,0,0,0,0,0,1,1,0,1,1,1,5,1,0,5,0,72.0,76.0,76.0,76.0,74.0 +2.0,17,11,0.0,55,,52.0,12.0,99915.0,198.636,vandoorne,2.0,Belgian,mclaren,British,2018,18,United States Grand Prix,65400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,+1 Lap,0.0,58.0,6.0,0.0,95735.0,95735.0,95735.0,32,26,Partly cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,95735.0,95735.0,95735.0,24,2,39,0,0,0,0,0,0,0,1,2,0,1,3,2,1,4,2,0,1,72.0,76.0,76.0,76.0,74.0 +5.0,5,4,12.0,56,5676865.0,41.0,3.0,98280.0,201.941,vettel,5.0,German,ferrari,Italian,2018,18,United States Grand Prix,65400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,5.0,497.0,2.0,6.0,94569.0,93079.0,92298.0,37,31,Partly cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,92298.0,94569.0,93315.33333333331,20,11,217,10,2,3,3,1,1,0,1,0,0,0,0,0,0,0,0,0,1,219.0,90.0,82.0,87.0,87.0 +77.0,5,5,10.0,70,,65.0,1.0,78741.0,196.776,bottas,77.0,Finnish,mercedes,German,2018,19,Mexican Grand Prix,69000000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,+1 Lap,0.0,585.0,1.0,9.0,75580.0,75923.0,75160.0,35,29,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.304,71.0,305.354,75160.0,75923.0,75554.33333333333,24,5,117,8,7,1,3,3,0,1,1,0,0,0,0,0,1,0,0,0,0,115.0,80.0,78.0,82.0,78.0 +28.0,14,14,0.0,69,,26.0,13.0,82438.0,187.952,brendon_hartley,28.0,New Zealander,toro_rosso,Italian,2018,19,Mexican Grand Prix,69000000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,+2 Laps,0.0,33.0,9.0,0.0,76682.0,77184.0,77184.0,35,29,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.304,71.0,305.354,76682.0,77184.0,77016.66666666667,28,1,23,0,0,0,0,0,0,0,0,1,2,1,1,1,2,1,0,3,0,58.0,72.0,78.0,73.0,72.0 +9.0,10,9,2.0,69,,18.0,14.0,82440.0,187.947,ericsson,9.0,Swedish,sauber,Swiss,2018,19,Mexican Grand Prix,69000000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,+2 Laps,0.0,36.0,8.0,0.0,76701.0,76633.0,76513.0,34,28,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.304,71.0,305.354,76513.0,76701.0,76615.66666666667,24,4,95,0,0,0,0,0,0,0,0,2,3,3,1,3,0,3,1,0,1,96.0,84.0,79.0,78.0,77.0 +10.0,20,10,1.0,69,,69.0,17.0,82755.0,187.232,gasly,10.0,French,toro_rosso,Italian,2018,19,Mexican Grand Prix,69000000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,+2 Laps,0.0,33.0,9.0,0.0,76828.0,76828.0,76828.0,28,22,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.304,71.0,305.354,76828.0,76828.0,76828.0,21,1,24,0,0,0,1,0,1,1,0,1,0,3,2,2,2,0,0,0,2,58.0,72.0,78.0,73.0,72.0 +8.0,18,16,0.0,68,,46.0,9.0,81370.0,190.419,grosjean,8.0,French,haas,American,2018,19,Mexican Grand Prix,69000000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,+3 Laps,0.0,84.0,5.0,0.0,76911.0,76911.0,76911.0,38,32,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.304,71.0,305.354,76911.0,76911.0,76911.0,23,9,143,0,0,0,1,0,1,1,1,0,1,2,1,1,0,3,2,2,1,147.0,88.0,80.0,84.0,83.0 +44.0,3,4,12.0,71,5987589.0,49.0,8.0,80728.0,191.933,hamilton,44.0,British,mercedes,German,2018,19,Mexican Grand Prix,69000000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,Finished,9.0,585.0,1.0,9.0,75673.0,75644.0,74894.0,39,33,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.304,71.0,305.354,74894.0,75673.0,75403.66666666667,22,11,227,15,3,3,1,1,0,0,0,0,0,0,0,0,0,0,1,0,0,227.0,89.0,82.0,84.0,85.0 +27.0,7,6,8.0,69,,67.0,7.0,80637.0,192.15,hulkenberg,27.0,German,renault,French,2018,19,Mexican Grand Prix,69000000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,+2 Laps,0.0,114.0,4.0,0.0,76498.0,76126.0,75827.0,37,31,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.304,71.0,305.354,75827.0,76498.0,76150.33333333333,23,8,156,0,0,0,0,1,4,2,1,1,1,0,2,1,0,0,0,0,1,157.0,91.0,83.0,88.0,87.0 +20.0,16,15,0.0,69,,45.0,10.0,81874.0,189.246,kevin_magnussen,20.0,Danish,haas,American,2018,19,Mexican Grand Prix,69000000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,+2 Laps,0.0,84.0,5.0,0.0,77599.0,77599.0,77599.0,32,26,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.304,71.0,305.354,77599.0,77599.0,77599.0,22,4,80,0,0,0,0,2,2,1,2,1,1,1,0,3,0,0,1,1,1,77.0,76.0,76.0,70.0,71.0 +16.0,9,7,6.0,69,,67.0,6.0,80537.0,192.388,leclerc,16.0,Monegasque,sauber,Swiss,2018,19,Mexican Grand Prix,69000000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,+2 Laps,0.0,36.0,8.0,0.0,76862.0,76320.0,76189.0,27,21,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.304,71.0,305.354,76189.0,76862.0,76457.0,21,0,19,0,0,0,0,0,1,1,0,2,3,1,1,1,0,2,0,0,3,58.0,72.0,78.0,73.0,72.0 +33.0,2,1,25.0,71,5908851.0,66.0,2.0,79186.0,195.67,max_verstappen,33.0,Dutch,red_bull,Austrian,2018,19,Mexican Grand Prix,69000000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,Finished,1.0,362.0,3.0,4.0,75756.0,75640.0,74785.0,27,21,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.304,71.0,305.354,74785.0,75756.0,75393.66666666667,18,3,79,8,3,4,1,3,1,0,0,1,0,0,0,0,0,1,1,0,0,74.0,75.0,75.0,72.0,71.0 +31.0,11,11,0.0,69,,6.0,15.0,82629.0,187.517,ocon,31.0,French,force_india,Indian,2018,19,Mexican Grand Prix,69000000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,+2 Laps,0.0,47.0,7.0,0.0,76252.0,76844.0,76844.0,28,22,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.304,71.0,305.354,76252.0,76844.0,76646.66666666667,20,2,48,0,0,0,0,0,4,1,1,3,1,1,1,1,0,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +7.0,6,3,15.0,71,5958765.0,19.0,5.0,80334.0,192.874,raikkonen,7.0,Finnish,ferrari,Italian,2018,19,Mexican Grand Prix,69000000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,Finished,1.0,530.0,2.0,6.0,76446.0,75996.0,75330.0,45,39,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.304,71.0,305.354,75330.0,76446.0,75924.0,27,12,205,10,3,6,2,2,1,0,0,0,0,0,0,0,0,0,0,2,1,207.0,83.0,82.0,86.0,84.0 +35.0,19,13,0.0,69,,66.0,16.0,82640.0,187.492,sirotkin,35.0,Russian,williams,British,2018,19,Mexican Grand Prix,69000000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,+2 Laps,0.0,7.0,10.0,0.0,77886.0,77886.0,77886.0,29,23,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.304,71.0,305.354,77886.0,77886.0,77886.0,23,0,19,0,0,0,0,0,0,0,0,0,1,0,1,2,2,3,3,1,1,58.0,72.0,78.0,73.0,72.0 +18.0,17,12,0.0,69,,27.0,18.0,82983.0,186.717,stroll,18.0,Canadian,williams,British,2018,19,Mexican Grand Prix,69000000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,+2 Laps,0.0,7.0,10.0,0.0,77689.0,77689.0,77689.0,26,20,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.304,71.0,305.354,77689.0,77689.0,77689.0,19,1,39,0,0,0,0,0,0,0,1,1,0,1,1,1,6,1,0,5,0,72.0,76.0,76.0,76.0,74.0 +2.0,15,8,4.0,69,,14.0,11.0,81921.0,189.138,vandoorne,2.0,Belgian,mclaren,British,2018,19,Mexican Grand Prix,69000000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,+2 Laps,0.0,62.0,6.0,0.0,76966.0,76966.0,76966.0,32,26,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.304,71.0,305.354,76966.0,76966.0,76966.0,24,2,40,0,0,0,0,0,0,0,1,2,0,2,3,2,1,4,2,0,1,72.0,76.0,76.0,76.0,74.0 +5.0,4,2,18.0,71,5926167.0,49.0,4.0,79522.0,194.844,vettel,5.0,German,ferrari,Italian,2018,19,Mexican Grand Prix,69000000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,Finished,5.0,530.0,2.0,6.0,76089.0,75715.0,74970.0,37,31,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.304,71.0,305.354,74970.0,76089.0,75591.33333333333,20,11,218,10,2,3,4,1,1,0,1,0,0,0,0,0,0,0,0,0,1,219.0,90.0,82.0,87.0,87.0 +14.0,17,17,0.0,69,,57.0,14.0,72643.0,213.542,alonso,14.0,Spanish,mclaren,British,2018,20,Brazilian Grand Prix,61800000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+2 Laps,0.0,62.0,6.0,0.0,69402.0,69402.0,69402.0,43,37,Cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,4.309,71.0,305.879,69402.0,69402.0,69402.0,25,12,243,0,0,0,0,1,0,4,4,0,0,0,0,0,2,0,2,0,3,244.0,89.0,86.0,87.0,87.0 +77.0,3,5,10.0,71,5252009.0,65.0,1.0,70540.0,219.909,bottas,77.0,Finnish,mercedes,German,2018,20,Brazilian Grand Prix,61800000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,620.0,1.0,10.0,68492.0,67727.0,67441.0,35,29,Cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,4.309,71.0,305.879,67441.0,68492.0,67886.66666666667,24,5,118,8,7,1,3,4,0,1,1,0,0,0,0,0,1,0,0,0,0,115.0,80.0,78.0,82.0,78.0 +28.0,16,11,0.0,70,,53.0,15.0,72949.0,212.647,brendon_hartley,28.0,New Zealander,toro_rosso,Italian,2018,20,Brazilian Grand Prix,61800000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,33.0,9.0,0.0,69280.0,69280.0,69280.0,35,29,Cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,4.309,71.0,305.879,69280.0,69280.0,69280.0,28,1,24,0,0,0,0,0,0,0,0,1,2,1,1,1,3,1,0,3,0,58.0,72.0,78.0,73.0,72.0 +10.0,9,13,0.0,70,,55.0,17.0,73822.0,210.132,gasly,10.0,French,toro_rosso,Italian,2018,20,Brazilian Grand Prix,61800000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,33.0,9.0,0.0,69046.0,68616.0,69029.0,28,22,Cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,4.309,71.0,305.879,68616.0,69046.0,68897.0,21,1,25,0,0,0,1,0,1,1,0,1,1,3,2,2,2,0,0,0,2,58.0,72.0,78.0,73.0,72.0 +8.0,8,8,4.0,71,5280296.0,71.0,12.0,72362.0,214.372,grosjean,8.0,French,haas,American,2018,20,Brazilian Grand Prix,61800000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,90.0,5.0,0.0,68735.0,68239.0,68517.0,38,32,Cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,4.309,71.0,305.879,68239.0,68735.0,68497.0,23,9,144,0,0,0,1,0,1,1,1,0,1,2,1,1,0,3,3,2,1,147.0,88.0,80.0,84.0,83.0 +44.0,1,1,25.0,71,5229066.0,70.0,7.0,71795.0,216.065,hamilton,44.0,British,mercedes,German,2018,20,Brazilian Grand Prix,61800000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,9.0,620.0,1.0,10.0,68464.0,67795.0,67281.0,39,33,Cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,4.309,71.0,305.879,67281.0,68464.0,67846.66666666667,22,11,228,15,3,3,2,1,0,0,0,0,0,0,0,0,0,0,1,0,0,227.0,89.0,82.0,84.0,85.0 +20.0,10,9,2.0,71,5281923.0,67.0,10.0,72206.0,214.835,kevin_magnussen,20.0,Danish,haas,American,2018,20,Brazilian Grand Prix,61800000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,90.0,5.0,0.0,68474.0,68659.0,68659.0,32,26,Cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,4.309,71.0,305.879,68474.0,68659.0,68597.33333333333,22,4,81,0,0,0,0,2,2,1,2,1,1,1,0,3,0,1,1,1,1,77.0,76.0,76.0,70.0,71.0 +16.0,7,7,6.0,71,5273265.0,70.0,8.0,72082.0,215.204,leclerc,16.0,Monegasque,sauber,Swiss,2018,20,Brazilian Grand Prix,61800000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,42.0,8.0,0.0,68667.0,68335.0,68492.0,27,21,Cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,4.309,71.0,305.879,68335.0,68667.0,68498.0,21,0,20,0,0,0,0,0,1,2,0,2,3,1,1,1,0,2,0,0,3,58.0,72.0,78.0,73.0,72.0 +33.0,5,2,18.0,71,5230535.0,61.0,4.0,71578.0,216.72,max_verstappen,33.0,Dutch,red_bull,Austrian,2018,20,Brazilian Grand Prix,61800000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,2.0,392.0,3.0,4.0,68205.0,68017.0,67778.0,27,21,Cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,4.309,71.0,305.879,67778.0,68205.0,68000.0,18,3,80,9,3,4,1,3,1,0,0,1,0,0,0,0,0,1,1,0,0,77.0,76.0,76.0,70.0,71.0 +31.0,18,15,0.0,70,,70.0,11.0,72352.0,214.401,ocon,31.0,French,force_india,Indian,2018,20,Brazilian Grand Prix,61800000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,48.0,7.0,0.0,69264.0,68770.0,68770.0,28,22,Cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,4.309,71.0,305.879,68770.0,69264.0,68934.66666666667,20,2,49,0,0,0,0,0,4,1,1,3,1,2,1,1,0,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +11.0,12,10,1.0,70,,58.0,13.0,72472.0,214.046,perez,11.0,Mexican,force_india,Indian,2018,20,Brazilian Grand Prix,61800000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,48.0,7.0,0.0,69217.0,68741.0,68741.0,34,28,Cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,4.309,71.0,305.879,68741.0,69217.0,68899.66666666667,21,7,156,1,0,1,0,1,0,4,1,1,2,1,2,0,2,0,2,0,2,157.0,91.0,83.0,88.0,87.0 +7.0,4,3,15.0,71,5233830.0,64.0,6.0,71769.0,216.143,raikkonen,7.0,Finnish,ferrari,Italian,2018,20,Brazilian Grand Prix,61800000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,1.0,553.0,2.0,6.0,68452.0,68028.0,67456.0,45,39,Cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,4.309,71.0,305.879,67456.0,68452.0,67978.66666666667,27,12,206,11,3,7,2,2,1,0,0,0,0,0,0,0,0,0,0,2,1,207.0,83.0,82.0,86.0,84.0 +3.0,11,4,12.0,71,5234259.0,62.0,3.0,71343.0,217.434,ricciardo,3.0,Australian,red_bull,Austrian,2018,20,Brazilian Grand Prix,61800000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,2.0,392.0,3.0,4.0,68544.0,68055.0,67780.0,35,29,Cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,4.309,71.0,305.879,67780.0,68544.0,68126.33333333333,22,7,149,2,0,0,5,2,2,0,0,0,0,0,0,0,0,0,2,3,1,148.0,87.0,77.0,83.0,82.0 +55.0,15,12,0.0,70,,50.0,9.0,72169.0,214.945,sainz,55.0,Spanish,renault,French,2018,20,Brazilian Grand Prix,61800000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,114.0,4.0,0.0,69269.0,69269.0,69269.0,30,24,Cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,4.309,71.0,305.879,69269.0,69269.0,69269.0,21,3,80,0,0,0,0,1,0,2,4,2,3,2,2,0,0,0,0,2,0,77.0,76.0,76.0,70.0,71.0 +35.0,14,16,0.0,69,,52.0,19.0,74262.0,208.887,sirotkin,35.0,Russian,williams,British,2018,20,Brazilian Grand Prix,61800000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+2 Laps,0.0,7.0,10.0,0.0,69259.0,70381.0,70381.0,29,23,Cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,4.309,71.0,305.879,69259.0,70381.0,70007.0,23,0,20,0,0,0,0,0,0,0,0,0,1,0,1,3,2,3,3,1,1,58.0,72.0,78.0,73.0,72.0 +18.0,19,18,0.0,69,,68.0,5.0,71751.0,216.197,stroll,18.0,Canadian,williams,British,2018,20,Brazilian Grand Prix,61800000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+2 Laps,0.0,7.0,10.0,0.0,69441.0,69441.0,69441.0,26,20,Cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,4.309,71.0,305.879,69441.0,69441.0,69441.0,19,1,40,0,0,0,0,0,0,0,1,1,0,1,2,1,6,1,0,5,0,72.0,76.0,76.0,76.0,74.0 +2.0,20,14,0.0,70,,68.0,16.0,72968.0,212.591,vandoorne,2.0,Belgian,mclaren,British,2018,20,Brazilian Grand Prix,61800000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,62.0,6.0,0.0,69601.0,69601.0,69601.0,32,26,Cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,4.309,71.0,305.879,69601.0,69601.0,69601.0,24,2,41,0,0,0,0,0,0,0,2,2,0,2,3,2,1,4,2,0,1,72.0,76.0,76.0,76.0,74.0 +5.0,2,6,8.0,71,5256063.0,71.0,2.0,70831.0,219.005,vettel,5.0,German,ferrari,Italian,2018,20,Brazilian Grand Prix,61800000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,5.0,553.0,2.0,6.0,68452.0,67776.0,67374.0,37,31,Cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,4.309,71.0,305.879,67374.0,68452.0,67867.33333333333,20,11,219,11,3,3,4,1,1,0,1,0,0,0,0,0,0,0,0,0,1,219.0,90.0,82.0,87.0,87.0 +14.0,15,11,0.0,54,,53.0,7.0,102393.0,195.271,alonso,14.0,Spanish,mclaren,British,2018,21,Abu Dhabi Grand Prix,47400000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,62.0,6.0,0.0,97890.0,97743.0,97743.0,43,37,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,97743.0,97890.0,97792.0,25,12,244,0,0,0,0,1,0,4,4,0,0,0,0,0,2,0,2,1,3,244.0,89.0,86.0,87.0,87.0 +77.0,2,5,10.0,55,6028339.0,42.0,2.0,100953.0,198.056,bottas,77.0,Finnish,mercedes,German,2018,21,Abu Dhabi Grand Prix,47400000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,655.0,1.0,11.0,96789.0,96392.0,94956.0,35,29,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,94956.0,96789.0,96045.66666666669,24,5,119,8,7,1,3,5,0,1,1,0,0,0,0,0,1,0,0,0,0,115.0,80.0,78.0,82.0,78.0 +28.0,16,12,0.0,54,,53.0,17.0,104174.0,191.932,brendon_hartley,28.0,New Zealander,toro_rosso,Italian,2018,21,Abu Dhabi Grand Prix,47400000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,33.0,9.0,0.0,97994.0,97994.0,97994.0,35,29,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,97994.0,97994.0,97994.0,28,1,25,0,0,0,0,0,0,0,0,1,2,2,1,1,3,1,0,3,0,58.0,72.0,78.0,73.0,72.0 +8.0,7,9,2.0,54,,54.0,11.0,103195.0,193.753,grosjean,8.0,French,haas,American,2018,21,Abu Dhabi Grand Prix,47400000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,93.0,5.0,0.0,97575.0,96732.0,96192.0,38,32,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,96192.0,97575.0,96833.0,23,9,145,0,0,0,1,0,1,1,2,0,1,2,1,1,0,3,3,2,1,147.0,88.0,80.0,84.0,83.0 +44.0,1,1,25.0,55,5980382.0,53.0,5.0,101357.0,197.267,hamilton,44.0,British,mercedes,German,2018,21,Abu Dhabi Grand Prix,47400000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,10.0,655.0,1.0,11.0,96828.0,95693.0,94794.0,39,33,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,94794.0,96828.0,95771.66666666669,22,11,229,16,3,3,2,1,0,0,0,0,0,0,0,0,0,0,1,0,0,230.0,89.0,83.0,85.0,85.0 +20.0,13,10,1.0,54,,53.0,9.0,102822.0,194.456,kevin_magnussen,20.0,Danish,haas,American,2018,21,Abu Dhabi Grand Prix,47400000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,93.0,5.0,0.0,97934.0,97309.0,97309.0,32,26,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,97309.0,97934.0,97517.33333333331,22,4,82,0,0,0,0,2,2,1,2,2,1,1,0,3,0,1,1,1,1,77.0,76.0,76.0,70.0,71.0 +16.0,8,7,6.0,55,6071171.0,54.0,10.0,102876.0,194.354,leclerc,16.0,Monegasque,sauber,Swiss,2018,21,Abu Dhabi Grand Prix,47400000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,48.0,8.0,0.0,97124.0,96580.0,96237.0,27,21,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,96237.0,97124.0,96647.0,21,0,21,0,0,0,0,0,1,3,0,2,3,1,1,1,0,2,0,0,3,58.0,72.0,78.0,73.0,72.0 +33.0,6,3,15.0,55,5993088.0,51.0,6.0,101909.0,196.198,max_verstappen,33.0,Dutch,red_bull,Austrian,2018,21,Abu Dhabi Grand Prix,47400000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,2.0,419.0,3.0,4.0,97195.0,96144.0,95589.0,27,21,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,95589.0,97195.0,96309.33333333331,18,3,81,10,4,4,1,3,1,0,0,1,0,0,0,0,0,1,1,0,0,77.0,76.0,76.0,70.0,71.0 +11.0,14,8,4.0,55,6071657.0,53.0,8.0,102816.0,194.467,perez,11.0,Mexican,force_india,Indian,2018,21,Abu Dhabi Grand Prix,47400000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,52.0,7.0,0.0,97255.0,97541.0,97541.0,34,28,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,97255.0,97541.0,97445.66666666669,21,7,157,1,0,1,0,1,0,4,1,1,3,1,2,0,2,0,2,0,2,158.0,89.0,81.0,86.0,84.0 +3.0,5,4,12.0,55,5995761.0,35.0,3.0,101249.0,197.477,ricciardo,3.0,Australian,red_bull,Austrian,2018,21,Abu Dhabi Grand Prix,47400000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,2.0,419.0,3.0,4.0,97117.0,96964.0,95401.0,35,29,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,95401.0,97117.0,96494.0,22,7,150,2,0,0,6,2,2,0,0,0,0,0,0,0,0,0,2,3,1,152.0,88.0,78.0,87.0,84.0 +55.0,11,6,8.0,55,6052930.0,54.0,4.0,101351.0,197.278,sainz,55.0,Spanish,renault,French,2018,21,Abu Dhabi Grand Prix,47400000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,122.0,4.0,0.0,97757.0,96982.0,96982.0,30,24,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,96982.0,97757.0,97240.33333333331,21,3,81,0,0,0,0,1,0,2,4,2,3,2,3,0,0,0,0,2,0,77.0,76.0,76.0,70.0,71.0 +35.0,19,15,0.0,54,,54.0,14.0,103831.0,192.566,sirotkin,35.0,Russian,williams,British,2018,21,Abu Dhabi Grand Prix,47400000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,7.0,10.0,0.0,98635.0,98635.0,98635.0,29,23,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,98635.0,98635.0,98635.0,23,0,21,0,0,0,0,0,0,0,0,0,1,0,1,3,2,3,4,1,1,58.0,72.0,78.0,73.0,72.0 +18.0,20,13,0.0,54,,53.0,16.0,104033.0,192.192,stroll,18.0,Canadian,williams,British,2018,21,Abu Dhabi Grand Prix,47400000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,7.0,10.0,0.0,98682.0,98682.0,98682.0,26,20,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,98682.0,98682.0,98682.0,19,1,41,0,0,0,0,0,0,0,1,1,0,1,2,1,6,1,0,5,1,72.0,76.0,76.0,76.0,74.0 +2.0,18,14,0.0,54,,53.0,12.0,103249.0,193.652,vandoorne,2.0,Belgian,mclaren,British,2018,21,Abu Dhabi Grand Prix,47400000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,62.0,6.0,0.0,98577.0,98577.0,98577.0,32,26,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,98577.0,98577.0,98577.0,24,2,42,0,0,0,0,0,0,0,2,2,0,2,3,2,2,4,2,0,1,72.0,76.0,76.0,76.0,74.0 +5.0,3,2,18.0,55,5982963.0,54.0,1.0,100867.0,198.225,vettel,5.0,German,ferrari,Italian,2018,21,Abu Dhabi Grand Prix,47400000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,5.0,571.0,2.0,6.0,96775.0,96345.0,95125.0,37,31,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,95125.0,96775.0,96081.66666666669,20,11,220,11,3,3,4,1,2,0,1,0,0,0,0,0,0,0,0,0,1,219.0,90.0,82.0,87.0,87.0 +23.0,13,14,0.0,57,,43.0,10.0,88188.0,216.478,albon,23.0,Thai,toro_rosso,Italian,2019,1,Australian Grand Prix,18600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+1 Lap,0.0,1.0,8.0,0.0,82757.0,82636.0,82636.0,28,23,Sunny,1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,82636.0,82757.0,82676.33333333333,23,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +77.0,2,1,26.0,58,5127325.0,57.0,1.0,85580.0,223.075,bottas,77.0,Finnish,mercedes,German,2019,1,Australian Grand Prix,18600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,44.0,1.0,1.0,82367.0,81193.0,80598.0,35,30,Sunny,1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,80598.0,82367.0,81386.0,24,6,120,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,115.0,80.0,78.0,82.0,78.0 +10.0,17,11,0.0,57,,39.0,5.0,87229.0,218.858,gasly,10.0,French,red_bull,Austrian,2019,1,Australian Grand Prix,18600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+1 Lap,0.0,15.0,3.0,0.0,83020.0,83020.0,83020.0,28,23,Sunny,1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,83020.0,83020.0,83020.0,21,2,27,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +99.0,14,15,0.0,57,,29.0,14.0,88479.0,215.766,giovinazzi,99.0,Italian,alfa,Swiss,2019,1,Australian Grand Prix,18600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+1 Lap,0.0,4.0,6.0,0.0,82431.0,82714.0,82714.0,31,26,Sunny,1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,82431.0,82714.0,82619.66666666667,24,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +44.0,1,2,18.0,58,5148211.0,57.0,2.0,86057.0,221.839,hamilton,44.0,British,mercedes,German,2019,1,Australian Grand Prix,18600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,44.0,1.0,1.0,82043.0,81014.0,80486.0,39,34,Sunny,1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,80486.0,82043.0,81181.0,22,12,230,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,230.0,89.0,83.0,85.0,85.0 +27.0,11,7,6.0,57,,52.0,12.0,88444.0,215.851,hulkenberg,27.0,German,renault,French,2019,1,Australian Grand Prix,18600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+1 Lap,0.0,6.0,5.0,0.0,82540.0,82562.0,82562.0,37,32,Sunny,1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,82540.0,82562.0,82554.66666666667,23,9,159,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,158.0,89.0,81.0,86.0,84.0 +20.0,7,6,8.0,58,5214481.0,56.0,9.0,88182.0,216.493,kevin_magnussen,20.0,Danish,haas,American,2019,1,Australian Grand Prix,18600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,8.0,4.0,0.0,82519.0,82221.0,82099.0,32,27,Sunny,1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,82099.0,82519.0,82279.66666666667,22,5,83,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,77.0,76.0,76.0,70.0,71.0 +88.0,20,17,0.0,55,,30.0,18.0,89284.0,213.821,kubica,88.0,Polish,williams,British,2019,1,Australian Grand Prix,18600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+3 Laps,0.0,0.0,10.0,0.0,86067.0,86067.0,86067.0,40,35,Sunny,1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,86067.0,86067.0,86067.0,22,13,77,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +26.0,15,10,1.0,57,,39.0,6.0,87448.0,218.31,kvyat,26.0,Russian,toro_rosso,Italian,2019,1,Australian Grand Prix,18600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+1 Lap,0.0,1.0,8.0,0.0,82511.0,82774.0,82774.0,30,25,Sunny,1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,82511.0,82774.0,82686.33333333333,20,5,75,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +16.0,5,5,10.0,58,5185528.0,58.0,4.0,86926.0,219.621,leclerc,16.0,Monegasque,ferrari,Italian,2019,1,Australian Grand Prix,18600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,22.0,2.0,0.0,82017.0,81739.0,81442.0,27,22,Sunny,1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,81442.0,82017.0,81732.66666666667,21,1,22,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +33.0,4,3,15.0,58,5149845.0,57.0,3.0,86256.0,221.327,max_verstappen,33.0,Dutch,red_bull,Austrian,2019,1,Australian Grand Prix,18600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,15.0,3.0,0.0,82876.0,81678.0,81320.0,27,22,Sunny,1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,81320.0,82876.0,81958.0,18,4,82,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,77.0,76.0,76.0,70.0,71.0 +4.0,8,12,0.0,57,,17.0,16.0,88555.0,215.581,norris,4.0,British,mclaren,British,2019,1,Australian Grand Prix,18600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+1 Lap,0.0,0.0,9.0,0.0,82702.0,82423.0,82304.0,25,20,Sunny,1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,82304.0,82702.0,82476.33333333333,20,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,10,13,0.0,57,,41.0,15.0,88485.0,215.751,perez,11.0,Mexican,racing_point,British,2019,1,Australian Grand Prix,18600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+1 Lap,0.0,2.0,7.0,0.0,82908.0,82532.0,82781.0,34,29,Sunny,1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,82532.0,82908.0,82740.33333333333,21,8,158,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,158.0,89.0,81.0,86.0,84.0 +7.0,9,8,4.0,57,,52.0,11.0,88270.0,216.277,raikkonen,7.0,Finnish,alfa,Swiss,2019,1,Australian Grand Prix,18600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+1 Lap,0.0,4.0,6.0,0.0,82966.0,82349.0,82314.0,45,40,Sunny,1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,82314.0,82966.0,82543.0,27,13,208,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,209.0,86.0,83.0,89.0,86.0 +63.0,19,16,0.0,56,,55.0,17.0,88713.0,215.197,russell,63.0,British,williams,British,2019,1,Australian Grand Prix,18600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+2 Laps,0.0,0.0,10.0,0.0,84360.0,84360.0,84360.0,26,21,Sunny,1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,84360.0,84360.0,84360.0,21,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +18.0,16,9,2.0,57,,29.0,7.0,87568.0,218.011,stroll,18.0,Canadian,racing_point,British,2019,1,Australian Grand Prix,18600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+1 Lap,0.0,2.0,7.0,0.0,83017.0,83017.0,83017.0,26,21,Sunny,1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,83017.0,83017.0,83017.0,19,2,42,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +5.0,3,4,12.0,58,5184434.0,16.0,8.0,87954.0,217.054,vettel,5.0,German,ferrari,Italian,2019,1,Australian Grand Prix,18600000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,22.0,2.0,0.0,82885.0,81912.0,81190.0,37,32,Sunny,1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,81190.0,82885.0,81995.66666666667,20,12,221,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,219.0,90.0,82.0,87.0,87.0 +23.0,12,9,2.0,57,5723992.0,39.0,16.0,96752.0,201.372,albon,23.0,Thai,toro_rosso,Italian,2019,2,Bahrain Grand Prix,54600000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,3.0,8.0,0.0,89514.0,89513.0,89513.0,28,23,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,89513.0,89514.0,89513.33333333333,23,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +77.0,4,2,18.0,57,5664275.0,42.0,3.0,94209.0,206.808,bottas,77.0,Finnish,mercedes,German,2019,2,Bahrain Grand Prix,54600000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,1.0,87.0,1.0,2.0,89498.0,88830.0,88256.0,35,30,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,88256.0,89498.0,88861.33333333333,24,6,121,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,123.0,88.0,82.0,85.0,83.0 +10.0,13,8,4.0,57,5719389.0,42.0,8.0,95291.0,204.46,gasly,10.0,French,red_bull,Austrian,2019,2,Bahrain Grand Prix,54600000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,31.0,3.0,0.0,89900.0,89526.0,89526.0,28,23,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,89526.0,89900.0,89650.66666666667,21,2,28,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +99.0,16,11,0.0,57,5725894.0,42.0,7.0,95237.0,204.575,giovinazzi,99.0,Italian,alfa,Swiss,2019,2,Bahrain Grand Prix,54600000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,10.0,4.0,0.0,90026.0,90026.0,90026.0,31,26,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,90026.0,90026.0,90026.0,24,2,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +44.0,3,1,25.0,57,5661295.0,36.0,2.0,93528.0,208.314,hamilton,44.0,British,mercedes,German,2019,2,Bahrain Grand Prix,54600000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,87.0,1.0,2.0,89262.0,88578.0,88190.0,39,34,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,88190.0,89262.0,88676.66666666667,22,12,231,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,230.0,89.0,83.0,85.0,85.0 +20.0,6,13,0.0,56,,41.0,13.0,95892.0,203.178,kevin_magnussen,20.0,Danish,haas,American,2019,2,Bahrain Grand Prix,54600000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,8.0,6.0,0.0,89532.0,89017.0,88757.0,32,27,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,88757.0,89532.0,89102.0,22,5,84,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,77.0,76.0,76.0,70.0,71.0 +88.0,20,16,0.0,55,,13.0,20.0,97903.0,199.005,kubica,88.0,Polish,williams,British,2019,2,Bahrain Grand Prix,54600000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+2 Laps,0.0,0.0,10.0,0.0,91799.0,91799.0,91799.0,40,35,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,91799.0,91799.0,91799.0,22,13,78,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,74.0,75.0,75.0,72.0,71.0 +26.0,15,12,0.0,56,,40.0,5.0,94934.0,205.228,kvyat,26.0,Russian,toro_rosso,Italian,2019,2,Bahrain Grand Prix,54600000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,3.0,8.0,0.0,89876.0,89854.0,89854.0,30,25,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,89854.0,89876.0,89861.33333333333,20,5,76,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +16.0,1,3,16.0,57,5667426.0,38.0,1.0,93411.0,208.575,leclerc,16.0,Monegasque,ferrari,Italian,2019,2,Bahrain Grand Prix,54600000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,48.0,2.0,0.0,88495.0,88046.0,87866.0,27,22,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,87866.0,88495.0,88135.66666666667,21,1,23,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +33.0,5,4,12.0,57,5667703.0,47.0,9.0,95311.0,204.417,max_verstappen,33.0,Dutch,red_bull,Austrian,2019,2,Bahrain Grand Prix,54600000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,31.0,3.0,0.0,89579.0,89109.0,88752.0,27,22,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,88752.0,89579.0,89146.66666666667,18,4,83,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,77.0,76.0,76.0,70.0,71.0 +4.0,9,6,8.0,57,5707049.0,14.0,12.0,95777.0,203.422,norris,4.0,British,mclaren,British,2019,2,Bahrain Grand Prix,54600000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,8.0,5.0,0.0,89381.0,89258.0,89043.0,25,20,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,89043.0,89381.0,89227.33333333333,20,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +11.0,14,10,1.0,57,5724991.0,51.0,14.0,96330.0,202.254,perez,11.0,Mexican,racing_point,British,2019,2,Bahrain Grand Prix,54600000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,3.0,9.0,0.0,89893.0,89756.0,89756.0,34,29,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,89756.0,89893.0,89801.66666666667,21,8,159,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,158.0,89.0,81.0,86.0,84.0 +7.0,8,7,6.0,57,5708765.0,45.0,11.0,95589.0,203.822,raikkonen,7.0,Finnish,alfa,Swiss,2019,2,Bahrain Grand Prix,54600000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,10.0,4.0,0.0,89959.0,89471.0,89022.0,45,40,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,89022.0,89959.0,89484.0,27,13,209,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,209.0,86.0,83.0,89.0,86.0 +63.0,19,15,0.0,56,,14.0,19.0,97313.0,200.211,russell,63.0,British,williams,British,2019,2,Bahrain Grand Prix,54600000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,0.0,10.0,0.0,91759.0,91759.0,91759.0,26,21,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,91759.0,91759.0,91759.0,21,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,58.0,72.0,78.0,73.0,72.0 +18.0,18,14,0.0,56,,31.0,17.0,97037.0,200.781,stroll,18.0,Canadian,racing_point,British,2019,2,Bahrain Grand Prix,54600000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,3.0,9.0,0.0,90217.0,90217.0,90217.0,26,21,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,90217.0,90217.0,90217.0,19,2,43,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +5.0,2,5,10.0,57,5697363.0,43.0,4.0,94895.0,205.313,vettel,5.0,German,ferrari,Italian,2019,2,Bahrain Grand Prix,54600000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,48.0,2.0,0.0,88733.0,88356.0,88160.0,37,32,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,88160.0,88733.0,88416.33333333333,20,12,222,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,220.0,91.0,79.0,86.0,86.0 +23.0,20,10,1.0,55,,22.0,18.0,98901.0,198.416,albon,23.0,Thai,toro_rosso,Italian,2019,3,Chinese Grand Prix,22200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+1 Lap,0.0,4.0,9.0,0.0,95281.0,95281.0,95281.0,28,23,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.451,56.0,305.066,95281.0,95281.0,95281.0,23,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +77.0,1,2,18.0,56,5532902.0,38.0,4.0,94872.0,206.842,bottas,77.0,Finnish,mercedes,German,2019,3,Chinese Grand Prix,22200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,1.0,130.0,1.0,3.0,92658.0,91728.0,91547.0,35,30,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.451,56.0,305.066,91547.0,92658.0,91977.66666666669,24,6,122,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,123.0,88.0,82.0,85.0,83.0 +10.0,6,6,9.0,56,5615657.0,55.0,1.0,94742.0,207.126,gasly,10.0,French,red_bull,Austrian,2019,3,Chinese Grand Prix,22200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,52.0,3.0,0.0,93863.0,92948.0,92930.0,28,23,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.451,56.0,305.066,92930.0,93863.0,93247.0,21,2,29,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +99.0,19,15,0.0,55,,32.0,14.0,98048.0,200.142,giovinazzi,99.0,Italian,alfa,Swiss,2019,3,Chinese Grand Prix,22200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+1 Lap,0.0,12.0,5.0,0.0,95281.0,95281.0,95281.0,31,26,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.451,56.0,305.066,95281.0,95281.0,95281.0,24,2,5,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,10,11,0.0,55,,37.0,8.0,96873.0,202.57,grosjean,8.0,French,haas,American,2019,3,Chinese Grand Prix,22200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+1 Lap,0.0,8.0,6.0,0.0,93752.0,93156.0,93156.0,38,33,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.451,56.0,305.066,93156.0,93752.0,93354.66666666669,23,10,148,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,148.0,87.0,77.0,83.0,82.0 +44.0,2,1,25.0,56,5526350.0,47.0,5.0,95892.0,204.642,hamilton,44.0,British,mercedes,German,2019,3,Chinese Grand Prix,22200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,1.0,130.0,1.0,3.0,93115.0,91637.0,91570.0,39,34,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.451,56.0,305.066,91570.0,93115.0,92107.33333333331,22,12,232,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,234.0,89.0,86.0,84.0,85.0 +20.0,9,13,0.0,55,,35.0,10.0,97471.0,201.327,kevin_magnussen,20.0,Danish,haas,American,2019,3,Chinese Grand Prix,22200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+1 Lap,0.0,8.0,6.0,0.0,94036.0,93150.0,93150.0,32,27,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.451,56.0,305.066,93150.0,94036.0,93445.33333333331,22,5,85,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,77.0,76.0,76.0,70.0,71.0 +88.0,18,17,0.0,54,,28.0,20.0,99772.0,196.684,kubica,88.0,Polish,williams,British,2019,3,Chinese Grand Prix,22200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+2 Laps,0.0,0.0,10.0,0.0,95281.0,95281.0,95281.0,40,35,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.451,56.0,305.066,95281.0,95281.0,95281.0,22,13,79,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,74.0,75.0,75.0,72.0,71.0 +16.0,4,5,10.0,56,5557626.0,45.0,3.0,94860.0,206.869,leclerc,16.0,Monegasque,ferrari,Italian,2019,3,Chinese Grand Prix,22200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,73.0,2.0,0.0,92712.0,92324.0,91865.0,27,22,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.451,56.0,305.066,91865.0,92712.0,92300.33333333331,21,1,24,1,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +33.0,5,4,12.0,56,5553977.0,45.0,6.0,96143.0,204.108,max_verstappen,33.0,Dutch,red_bull,Austrian,2019,3,Chinese Grand Prix,22200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,52.0,3.0,0.0,93274.0,92369.0,92089.0,27,22,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.451,56.0,305.066,92089.0,93274.0,92577.33333333331,18,4,84,1,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,77.0,76.0,76.0,70.0,71.0 +11.0,12,8,4.0,55,,37.0,17.0,98702.0,198.816,perez,11.0,Mexican,racing_point,British,2019,3,Chinese Grand Prix,22200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+1 Lap,0.0,7.0,8.0,0.0,94026.0,93299.0,93299.0,34,29,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.451,56.0,305.066,93299.0,94026.0,93541.33333333331,21,8,160,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,158.0,89.0,81.0,86.0,84.0 +7.0,13,9,2.0,55,,27.0,12.0,97812.0,200.625,raikkonen,7.0,Finnish,alfa,Swiss,2019,3,Chinese Grand Prix,22200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+1 Lap,0.0,12.0,5.0,0.0,94125.0,93419.0,93419.0,45,40,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.451,56.0,305.066,93419.0,94125.0,93654.33333333331,27,13,210,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,210.0,88.0,85.0,90.0,88.0 +3.0,7,7,6.0,55,,38.0,16.0,98632.0,198.957,ricciardo,3.0,Australian,renault,French,2019,3,Chinese Grand Prix,22200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+1 Lap,0.0,12.0,4.0,0.0,93709.0,93214.0,92958.0,35,30,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.451,56.0,305.066,92958.0,93709.0,93293.66666666669,22,8,153,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,152.0,88.0,78.0,87.0,84.0 +63.0,17,16,0.0,54,,51.0,9.0,97283.0,201.716,russell,63.0,British,williams,British,2019,3,Chinese Grand Prix,22200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+2 Laps,0.0,0.0,10.0,0.0,95253.0,95253.0,95253.0,26,21,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.451,56.0,305.066,95253.0,95253.0,95253.0,21,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,58.0,72.0,78.0,73.0,72.0 +55.0,14,14,0.0,55,,44.0,11.0,97502.0,201.263,sainz,55.0,Spanish,mclaren,British,2019,3,Chinese Grand Prix,22200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+1 Lap,0.0,8.0,7.0,0.0,93686.0,93523.0,93523.0,30,25,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.451,56.0,305.066,93523.0,93686.0,93577.33333333331,21,4,84,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,77.0,76.0,76.0,70.0,71.0 +18.0,16,12,0.0,55,,46.0,7.0,96678.0,202.978,stroll,18.0,Canadian,racing_point,British,2019,3,Chinese Grand Prix,22200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,+1 Lap,0.0,7.0,8.0,0.0,94292.0,94292.0,94292.0,26,21,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.451,56.0,305.066,94292.0,94292.0,94292.0,19,2,44,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +5.0,3,3,15.0,56,5540124.0,37.0,2.0,94836.0,206.921,vettel,5.0,German,ferrari,Italian,2019,3,Chinese Grand Prix,22200000.0,shanghai,Shanghai,China,31.3389,121.22,5.0,Finished,0.0,73.0,2.0,0.0,93557.0,92232.0,91848.0,37,32,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.451,56.0,305.066,91848.0,93557.0,92545.66666666669,20,12,223,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,220.0,91.0,79.0,86.0,86.0 +23.0,11,11,0.0,50,,49.0,9.0,105754.0,204.349,albon,23.0,Thai,toro_rosso,Italian,2019,4,Azerbaijan Grand Prix,43800000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,+1 Lap,0.0,4.0,9.0,0.0,102154.0,102494.0,102494.0,28,23,Mostly sunny,1,0,0,0,0,Street circuit,Anti-clockwise,6.003,51.0,306.049,102154.0,102494.0,102380.66666666669,23,0,4,0,0,0,0,0,0,0,0,1,1,0,0,0,1,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +77.0,1,1,25.0,51,5512942.0,50.0,2.0,104024.0,207.748,bottas,77.0,Finnish,mercedes,German,2019,4,Azerbaijan Grand Prix,43800000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,1.0,173.0,1.0,4.0,102026.0,101500.0,100495.0,35,30,Mostly sunny,1,0,0,0,0,Street circuit,Anti-clockwise,6.003,51.0,306.049,100495.0,102026.0,101340.33333333331,24,6,123,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,123.0,88.0,82.0,85.0,83.0 +99.0,17,12,0.0,50,,45.0,11.0,105969.0,203.935,giovinazzi,99.0,Italian,alfa,Swiss,2019,4,Azerbaijan Grand Prix,43800000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,+1 Lap,0.0,13.0,6.0,0.0,102140.0,102381.0,102424.0,31,26,Mostly sunny,1,0,0,0,0,Street circuit,Anti-clockwise,6.003,51.0,306.049,102140.0,102424.0,102315.0,24,2,6,0,0,0,0,0,0,0,0,0,0,1,0,0,0,2,0,0,0,58.0,72.0,78.0,73.0,72.0 +44.0,2,2,18.0,51,5514466.0,48.0,3.0,104166.0,207.465,hamilton,44.0,British,mercedes,German,2019,4,Azerbaijan Grand Prix,43800000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,2.0,173.0,1.0,4.0,101614.0,101580.0,100554.0,39,34,Mostly sunny,1,0,0,0,0,Street circuit,Anti-clockwise,6.003,51.0,306.049,100554.0,101614.0,101249.33333333331,22,12,233,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,234.0,89.0,86.0,84.0,85.0 +27.0,15,14,0.0,50,,43.0,17.0,107407.0,201.204,hulkenberg,27.0,German,renault,French,2019,4,Azerbaijan Grand Prix,43800000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,+1 Lap,0.0,12.0,7.0,0.0,103427.0,103427.0,103427.0,37,32,Mostly sunny,1,0,0,0,0,Street circuit,Anti-clockwise,6.003,51.0,306.049,103427.0,103427.0,103427.0,23,9,162,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,158.0,89.0,81.0,86.0,84.0 +20.0,12,13,0.0,50,,42.0,14.0,106682.0,202.572,kevin_magnussen,20.0,Danish,haas,American,2019,4,Azerbaijan Grand Prix,43800000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,+1 Lap,0.0,8.0,8.0,0.0,102382.0,102699.0,102699.0,32,27,Mostly sunny,1,0,0,0,0,Street circuit,Anti-clockwise,6.003,51.0,306.049,102382.0,102699.0,102593.33333333331,22,5,86,0,0,0,0,0,1,0,0,0,0,0,0,2,0,0,0,0,0,91.0,83.0,77.0,75.0,75.0 +88.0,18,16,0.0,49,,45.0,19.0,107709.0,200.64,kubica,88.0,Polish,williams,British,2019,4,Azerbaijan Grand Prix,43800000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,+2 Laps,0.0,0.0,10.0,0.0,105455.0,105455.0,105455.0,40,35,Mostly sunny,1,0,0,0,0,Street circuit,Anti-clockwise,6.003,51.0,306.049,105455.0,105455.0,105455.0,22,13,80,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,0,77.0,76.0,76.0,70.0,71.0 +16.0,8,5,11.0,51,5582049.0,50.0,1.0,103009.0,209.795,leclerc,16.0,Monegasque,ferrari,Italian,2019,4,Azerbaijan Grand Prix,43800000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,99.0,2.0,0.0,101426.0,101995.0,101995.0,27,22,Mostly sunny,1,0,0,0,0,Street circuit,Anti-clockwise,6.003,51.0,306.049,101426.0,101995.0,101805.33333333331,21,1,25,1,0,1,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +33.0,4,4,12.0,51,5530435.0,39.0,5.0,104794.0,206.221,max_verstappen,33.0,Dutch,red_bull,Austrian,2019,4,Azerbaijan Grand Prix,43800000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,64.0,3.0,0.0,101727.0,101388.0,101069.0,27,22,Mostly sunny,1,0,0,0,0,Street circuit,Anti-clockwise,6.003,51.0,306.049,101069.0,101727.0,101394.66666666669,18,4,85,1,0,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,77.0,76.0,76.0,70.0,71.0 +4.0,7,8,4.0,51,5613210.0,43.0,6.0,105394.0,205.047,norris,4.0,British,mclaren,British,2019,4,Azerbaijan Grand Prix,43800000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,18.0,4.0,0.0,102371.0,102084.0,101886.0,25,20,Mostly sunny,1,0,0,0,0,Street circuit,Anti-clockwise,6.003,51.0,306.049,101886.0,102371.0,102113.66666666669,20,0,4,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +11.0,5,6,8.0,51,5589358.0,49.0,7.0,105524.0,204.795,perez,11.0,Mexican,racing_point,British,2019,4,Azerbaijan Grand Prix,43800000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,17.0,5.0,0.0,102249.0,101870.0,101593.0,34,29,Mostly sunny,1,0,0,0,0,Street circuit,Anti-clockwise,6.003,51.0,306.049,101593.0,102249.0,101904.0,21,8,161,0,0,0,0,0,0,0,1,0,1,0,0,1,0,0,0,0,0,158.0,89.0,81.0,86.0,84.0 +7.0,18,10,1.0,50,,48.0,13.0,106479.0,202.958,raikkonen,7.0,Finnish,alfa,Swiss,2019,4,Azerbaijan Grand Prix,43800000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,+1 Lap,0.0,13.0,6.0,0.0,105455.0,105455.0,105455.0,45,40,Mostly sunny,1,0,0,0,0,Street circuit,Anti-clockwise,6.003,51.0,306.049,105455.0,105455.0,105455.0,27,13,211,0,0,0,0,0,0,1,1,1,0,0,0,0,0,0,0,0,0,210.0,88.0,85.0,90.0,88.0 +63.0,16,15,0.0,49,,42.0,16.0,107251.0,201.497,russell,63.0,British,williams,British,2019,4,Azerbaijan Grand Prix,43800000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,+2 Laps,0.0,0.0,10.0,0.0,105062.0,105062.0,105062.0,26,21,Mostly sunny,1,0,0,0,0,Street circuit,Anti-clockwise,6.003,51.0,306.049,105062.0,105062.0,105062.0,21,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,0,0,58.0,72.0,78.0,73.0,72.0 +55.0,9,7,6.0,51,5596768.0,43.0,10.0,105807.0,204.247,sainz,55.0,Spanish,mclaren,British,2019,4,Azerbaijan Grand Prix,43800000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,18.0,4.0,0.0,101936.0,102398.0,102398.0,30,25,Mostly sunny,1,0,0,0,0,Street circuit,Anti-clockwise,6.003,51.0,306.049,101936.0,102398.0,102244.0,21,4,85,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,77.0,76.0,76.0,70.0,71.0 +18.0,13,9,2.0,51,5616758.0,38.0,12.0,106009.0,203.858,stroll,18.0,Canadian,racing_point,British,2019,4,Azerbaijan Grand Prix,43800000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,17.0,5.0,0.0,102630.0,102630.0,102630.0,26,21,Mostly sunny,1,0,0,0,0,Street circuit,Anti-clockwise,6.003,51.0,306.049,102630.0,102630.0,102630.0,19,2,45,0,0,0,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +5.0,3,3,15.0,51,5524681.0,46.0,4.0,104629.0,206.546,vettel,5.0,German,ferrari,Italian,2019,4,Azerbaijan Grand Prix,43800000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,99.0,2.0,0.0,102042.0,101889.0,100797.0,37,32,Mostly sunny,1,0,0,0,0,Street circuit,Anti-clockwise,6.003,51.0,306.049,100797.0,102042.0,101576.0,20,12,224,1,0,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,220.0,91.0,79.0,86.0,86.0 +23.0,11,11,0.0,66,5785888.0,65.0,11.0,81028.0,206.817,albon,23.0,Thai,toro_rosso,Italian,2019,5,Spanish Grand Prix,47400000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,6.0,9.0,0.0,77796.0,77445.0,77445.0,28,23,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,77445.0,77796.0,77562.0,23,0,5,0,0,0,0,0,0,0,0,1,1,1,0,0,1,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +77.0,1,2,18.0,66,5754517.0,55.0,2.0,78737.0,212.835,bottas,77.0,Finnish,mercedes,German,2019,5,Spanish Grand Prix,47400000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,2.0,217.0,1.0,5.0,76979.0,75924.0,75406.0,35,30,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,75406.0,76979.0,76103.0,24,6,124,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,123.0,88.0,82.0,85.0,83.0 +10.0,6,6,8.0,66,5770019.0,57.0,6.0,80536.0,208.08,gasly,10.0,French,red_bull,Austrian,2019,5,Spanish Grand Prix,47400000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,87.0,3.0,0.0,77862.0,76932.0,76708.0,28,23,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,76708.0,77862.0,77167.33333333333,21,2,31,0,0,0,0,0,1,0,1,0,0,1,0,0,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +99.0,18,16,0.0,66,5798134.0,64.0,15.0,81833.0,204.782,giovinazzi,99.0,Italian,alfa,Swiss,2019,5,Spanish Grand Prix,47400000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,13.0,7.0,0.0,78664.0,78664.0,78664.0,31,26,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,78664.0,78664.0,78664.0,24,2,7,0,0,0,0,0,0,0,0,0,0,1,1,0,0,2,0,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,7,10,1.0,66,5785084.0,64.0,12.0,81057.0,206.743,grosjean,8.0,French,haas,American,2019,5,Spanish Grand Prix,47400000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,15.0,6.0,0.0,78042.0,77066.0,76911.0,38,33,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,76911.0,78042.0,77339.66666666667,23,10,150,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,2,152.0,88.0,78.0,87.0,84.0 +44.0,2,1,26.0,66,5750443.0,54.0,1.0,78492.0,213.499,hamilton,44.0,British,mercedes,German,2019,5,Spanish Grand Prix,47400000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,2.0,217.0,1.0,5.0,77292.0,76038.0,76040.0,39,34,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,76038.0,77292.0,76456.66666666667,22,12,234,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,234.0,89.0,86.0,84.0,85.0 +27.0,20,13,0.0,66,5789684.0,65.0,13.0,81282.0,206.171,hulkenberg,27.0,German,renault,French,2019,5,Spanish Grand Prix,47400000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,12.0,8.0,0.0,78404.0,78404.0,78404.0,37,32,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,78404.0,78404.0,78404.0,23,9,163,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,1,0,158.0,89.0,81.0,86.0,84.0 +20.0,8,7,6.0,66,5778602.0,66.0,9.0,80770.0,207.478,kevin_magnussen,20.0,Danish,haas,American,2019,5,Spanish Grand Prix,47400000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,15.0,6.0,0.0,77669.0,77272.0,76922.0,32,27,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,76922.0,77669.0,77287.66666666667,22,5,87,0,0,0,0,0,1,0,0,0,0,0,0,3,0,0,0,0,0,91.0,83.0,77.0,75.0,75.0 +88.0,17,18,0.0,65,,65.0,19.0,83202.0,201.413,kubica,88.0,Polish,williams,British,2019,5,Spanish Grand Prix,47400000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,0.0,10.0,0.0,80254.0,80254.0,80254.0,40,35,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,80254.0,80254.0,80254.0,22,13,81,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,2,0,77.0,76.0,76.0,70.0,71.0 +26.0,9,9,2.0,66,5783499.0,64.0,8.0,80726.0,207.591,kvyat,26.0,Russian,toro_rosso,Italian,2019,5,Spanish Grand Prix,47400000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,6.0,9.0,0.0,77914.0,77243.0,77573.0,30,25,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,77243.0,77914.0,77576.66666666667,20,5,79,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,74.0,75.0,75.0,72.0,71.0 +16.0,5,5,10.0,66,5763804.0,57.0,5.0,80002.0,209.469,leclerc,16.0,Monegasque,ferrari,Italian,2019,5,Spanish Grand Prix,47400000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,121.0,2.0,0.0,77388.0,76714.0,76588.0,27,22,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,76588.0,77388.0,76896.66666666667,21,1,26,1,0,1,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +33.0,4,3,15.0,66,5758122.0,57.0,3.0,79769.0,210.081,max_verstappen,33.0,Dutch,red_bull,Austrian,2019,5,Spanish Grand Prix,47400000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,87.0,3.0,0.0,77244.0,76726.0,76357.0,27,22,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,76357.0,77244.0,76775.66666666667,18,4,86,1,0,1,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,91.0,83.0,77.0,75.0,75.0 +11.0,15,15,0.0,66,5797320.0,65.0,16.0,81859.0,204.717,perez,11.0,Mexican,racing_point,British,2019,5,Spanish Grand Prix,47400000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,17.0,5.0,0.0,78286.0,77886.0,77886.0,34,29,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,77886.0,78286.0,78019.33333333333,21,8,162,0,0,0,0,0,1,0,1,0,1,0,0,1,0,0,0,0,0,158.0,89.0,81.0,86.0,84.0 +7.0,14,14,0.0,66,5792246.0,66.0,14.0,81382.0,205.917,raikkonen,7.0,Finnish,alfa,Swiss,2019,5,Spanish Grand Prix,47400000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,13.0,7.0,0.0,78132.0,77788.0,77788.0,45,40,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,77788.0,78132.0,77902.66666666667,27,13,212,0,0,0,0,0,0,1,1,1,1,0,0,0,0,0,0,0,0,214.0,90.0,82.0,90.0,88.0 +3.0,13,12,0.0,66,5787201.0,56.0,7.0,80615.0,207.876,ricciardo,3.0,Australian,renault,French,2019,5,Spanish Grand Prix,47400000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,12.0,8.0,0.0,78385.0,77299.0,78106.0,35,30,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,77299.0,78385.0,77930.0,22,8,155,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,157.0,91.0,83.0,88.0,87.0 +63.0,19,17,0.0,65,,64.0,17.0,82382.0,203.418,russell,63.0,British,williams,British,2019,5,Spanish Grand Prix,47400000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,0.0,10.0,0.0,79072.0,79072.0,79072.0,26,21,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,79072.0,79072.0,79072.0,21,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,2,0,0,58.0,72.0,78.0,73.0,72.0 +55.0,12,8,4.0,66,5782785.0,59.0,10.0,80859.0,207.249,sainz,55.0,Spanish,mclaren,British,2019,5,Spanish Grand Prix,47400000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,22.0,4.0,0.0,77760.0,77599.0,77599.0,30,25,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,77599.0,77760.0,77652.66666666667,21,4,86,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,91.0,83.0,77.0,75.0,75.0 +5.0,3,4,12.0,66,5759610.0,64.0,4.0,79820.0,209.947,vettel,5.0,German,ferrari,Italian,2019,5,Spanish Grand Prix,47400000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,121.0,2.0,0.0,77425.0,76667.0,76272.0,37,32,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,76272.0,77425.0,76788.0,20,12,225,2,0,2,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,223.0,91.0,82.0,86.0,87.0 +23.0,10,8,4.0,78,6263637.0,43.0,3.0,75607.0,158.89,albon,23.0,Thai,toro_rosso,Italian,2019,6,Monaco Grand Prix,47400000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,16.0,7.0,0.0,72007.0,71429.0,71653.0,28,23,Overcast,0,0,0,0,1,Street circuit,Clockwise,3.337,78.0,260.286,71429.0,72007.0,71696.33333333333,23,0,6,0,0,0,0,0,0,0,0,1,1,2,0,0,1,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +77.0,2,3,15.0,78,6211599.0,65.0,2.0,75163.0,159.828,bottas,77.0,Finnish,mercedes,German,2019,6,Monaco Grand Prix,47400000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,2.0,257.0,1.0,6.0,71562.0,70701.0,70252.0,35,30,Overcast,0,0,0,0,1,Street circuit,Clockwise,3.337,78.0,260.286,70252.0,71562.0,70838.33333333333,24,6,125,5,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,123.0,88.0,82.0,85.0,83.0 +10.0,8,5,11.0,78,6218383.0,72.0,1.0,74279.0,161.73,gasly,10.0,French,red_bull,Austrian,2019,6,Monaco Grand Prix,47400000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,110.0,3.0,0.0,71740.0,71457.0,71041.0,28,23,Overcast,0,0,0,0,1,Street circuit,Clockwise,3.337,78.0,260.286,71041.0,71740.0,71412.66666666667,21,2,32,0,0,0,0,0,2,0,1,0,0,1,0,0,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +99.0,18,19,0.0,76,,46.0,11.0,76299.0,157.448,giovinazzi,99.0,Italian,alfa,Swiss,2019,6,Monaco Grand Prix,47400000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+2 Laps,0.0,13.0,9.0,0.0,71976.0,72185.0,72185.0,31,26,Overcast,0,0,0,0,1,Street circuit,Clockwise,3.337,78.0,260.286,71976.0,72185.0,72115.33333333333,24,2,8,0,0,0,0,0,0,0,0,0,0,1,1,0,0,2,1,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,13,10,1.0,78,6269471.0,41.0,16.0,76746.0,156.531,grosjean,8.0,French,haas,American,2019,6,Monaco Grand Prix,47400000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,16.0,6.0,0.0,71837.0,72027.0,72027.0,38,33,Overcast,0,0,0,0,1,Street circuit,Clockwise,3.337,78.0,260.286,71837.0,72027.0,71963.66666666667,23,10,151,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,2,152.0,88.0,78.0,87.0,84.0 +44.0,1,1,25.0,78,6208437.0,9.0,6.0,76167.0,157.721,hamilton,44.0,British,mercedes,German,2019,6,Monaco Grand Prix,47400000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,3.0,257.0,1.0,6.0,71542.0,70835.0,70166.0,39,34,Overcast,0,0,0,0,1,Street circuit,Clockwise,3.337,78.0,260.286,70166.0,71542.0,70847.66666666667,22,12,235,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,234.0,89.0,86.0,84.0,85.0 +27.0,11,13,0.0,77,,65.0,8.0,76276.0,157.496,hulkenberg,27.0,German,renault,French,2019,6,Monaco Grand Prix,47400000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,14.0,8.0,0.0,72097.0,71670.0,71670.0,37,32,Overcast,0,0,0,0,1,Street circuit,Clockwise,3.337,78.0,260.286,71670.0,72097.0,71812.33333333333,23,9,164,0,0,0,0,0,0,1,0,0,0,0,0,1,1,0,0,1,0,162.0,86.0,81.0,84.0,83.0 +20.0,5,14,0.0,77,,61.0,17.0,76992.0,156.031,kevin_magnussen,20.0,Danish,haas,American,2019,6,Monaco Grand Prix,47400000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,16.0,6.0,0.0,71865.0,71363.0,71109.0,32,27,Overcast,0,0,0,0,1,Street circuit,Clockwise,3.337,78.0,260.286,71109.0,71865.0,71445.66666666667,22,5,88,0,0,0,0,0,1,1,0,0,0,0,0,3,0,0,0,0,0,91.0,83.0,77.0,75.0,75.0 +88.0,20,18,0.0,77,,32.0,19.0,77388.0,155.233,kubica,88.0,Polish,williams,British,2019,6,Monaco Grand Prix,47400000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,0.0,10.0,0.0,73751.0,73751.0,73751.0,40,35,Overcast,0,0,0,0,1,Street circuit,Clockwise,3.337,78.0,260.286,73751.0,73751.0,73751.0,22,13,82,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,2,1,77.0,76.0,76.0,70.0,71.0 +26.0,7,7,6.0,78,6263011.0,31.0,10.0,76288.0,157.471,kvyat,26.0,Russian,toro_rosso,Italian,2019,6,Monaco Grand Prix,47400000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,16.0,7.0,0.0,71602.0,71412.0,71271.0,30,25,Overcast,0,0,0,0,1,Street circuit,Clockwise,3.337,78.0,260.286,71271.0,71602.0,71428.33333333333,20,5,80,0,0,0,0,0,0,0,0,1,1,0,1,0,0,0,0,0,0,77.0,76.0,76.0,70.0,71.0 +33.0,3,4,12.0,78,6213974.0,9.0,7.0,76229.0,157.593,max_verstappen,33.0,Dutch,red_bull,Austrian,2019,6,Monaco Grand Prix,47400000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,110.0,3.0,0.0,71597.0,70618.0,70641.0,27,22,Overcast,0,0,0,0,1,Street circuit,Clockwise,3.337,78.0,260.286,70618.0,71597.0,70952.0,18,4,87,2,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,91.0,83.0,77.0,75.0,75.0 +4.0,12,11,0.0,78,6275238.0,61.0,13.0,76413.0,157.214,norris,4.0,British,mclaren,British,2019,6,Monaco Grand Prix,47400000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,30.0,4.0,0.0,71845.0,71724.0,71724.0,25,20,Overcast,0,0,0,0,1,Street circuit,Clockwise,3.337,78.0,260.286,71724.0,71845.0,71764.33333333333,20,0,6,0,0,0,0,0,1,0,1,0,0,0,1,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +11.0,16,12,0.0,77,,67.0,15.0,76613.0,156.803,perez,11.0,Mexican,racing_point,British,2019,6,Monaco Grand Prix,47400000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,17.0,5.0,0.0,72233.0,72233.0,72233.0,34,29,Overcast,0,0,0,0,1,Street circuit,Clockwise,3.337,78.0,260.286,72233.0,72233.0,72233.0,21,8,163,0,0,0,0,0,1,0,1,0,1,0,0,1,0,1,0,0,0,158.0,89.0,81.0,86.0,84.0 +7.0,14,17,0.0,77,,50.0,14.0,76436.0,157.166,raikkonen,7.0,Finnish,alfa,Swiss,2019,6,Monaco Grand Prix,47400000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,13.0,9.0,0.0,71993.0,72115.0,72115.0,45,40,Overcast,0,0,0,0,1,Street circuit,Clockwise,3.337,78.0,260.286,71993.0,72115.0,72074.33333333333,27,13,213,0,0,0,0,0,0,1,1,1,1,0,0,0,1,0,0,0,0,214.0,90.0,82.0,90.0,88.0 +3.0,6,9,2.0,78,6269331.0,78.0,4.0,75697.0,158.701,ricciardo,3.0,Australian,renault,French,2019,6,Monaco Grand Prix,47400000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,14.0,8.0,0.0,71767.0,71543.0,71218.0,35,30,Overcast,0,0,0,0,1,Street circuit,Clockwise,3.337,78.0,260.286,71218.0,71767.0,71509.33333333333,22,8,156,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,1,157.0,91.0,83.0,88.0,87.0 +63.0,19,15,0.0,77,,76.0,18.0,77038.0,155.938,russell,63.0,British,williams,British,2019,6,Monaco Grand Prix,47400000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,0.0,10.0,0.0,73477.0,73477.0,73477.0,26,21,Overcast,0,0,0,0,1,Street circuit,Clockwise,3.337,78.0,260.286,73477.0,73477.0,73477.0,21,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,2,1,0,58.0,72.0,78.0,73.0,72.0 +55.0,9,6,8.0,78,6261891.0,32.0,5.0,75891.0,158.295,sainz,55.0,Spanish,mclaren,British,2019,6,Monaco Grand Prix,47400000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,30.0,4.0,0.0,71872.0,71608.0,71417.0,30,25,Overcast,0,0,0,0,1,Street circuit,Clockwise,3.337,78.0,260.286,71417.0,71872.0,71632.33333333333,21,4,87,0,0,0,0,0,0,1,1,0,0,0,0,0,1,0,0,0,0,91.0,83.0,77.0,75.0,75.0 +18.0,17,16,0.0,77,,45.0,12.0,76379.0,157.284,stroll,18.0,Canadian,racing_point,British,2019,6,Monaco Grand Prix,47400000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,17.0,5.0,0.0,72846.0,72846.0,72846.0,26,21,Overcast,0,0,0,0,1,Street circuit,Clockwise,3.337,78.0,260.286,72846.0,72846.0,72846.0,19,2,47,0,0,0,0,0,0,0,0,2,0,0,1,0,1,0,0,0,0,72.0,76.0,76.0,76.0,74.0 +5.0,4,2,18.0,78,6211039.0,9.0,9.0,76277.0,157.494,vettel,5.0,German,ferrari,Italian,2019,6,Monaco Grand Prix,47400000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,139.0,2.0,0.0,71434.0,71227.0,70947.0,37,32,Overcast,0,0,0,0,1,Street circuit,Clockwise,3.337,78.0,260.286,70947.0,71434.0,71202.66666666667,20,12,226,2,0,2,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,223.0,91.0,82.0,86.0,87.0 +77.0,6,4,13.0,70,5398127.0,69.0,1.0,73078.0,214.833,bottas,77.0,Finnish,mercedes,German,2019,7,Canadian Grand Prix,65400000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,2.0,295.0,1.0,7.0,71229.0,71095.0,71101.0,35,30,Temperatures reaching up to 29.6 °C (85.3 °F); wind speeds negligible[2],0,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,71095.0,71229.0,71141.66666666667,24,6,126,6,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,130.0,89.0,85.0,82.0,82.0 +10.0,5,8,4.0,69,,51.0,10.0,76157.0,206.147,gasly,10.0,French,red_bull,Austrian,2019,7,Canadian Grand Prix,65400000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,124.0,3.0,0.0,72023.0,71196.0,71079.0,28,23,Temperatures reaching up to 29.6 °C (85.3 °F); wind speeds negligible[2],0,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,71079.0,72023.0,71432.66666666667,21,2,33,0,0,0,0,1,2,0,1,0,0,1,0,0,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +99.0,12,13,0.0,69,,69.0,14.0,76365.0,205.586,giovinazzi,99.0,Italian,alfa,Swiss,2019,7,Canadian Grand Prix,65400000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,13.0,9.0,0.0,72122.0,72136.0,72136.0,31,26,Temperatures reaching up to 29.6 °C (85.3 °F); wind speeds negligible[2],0,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,72122.0,72136.0,72131.33333333333,24,2,9,0,0,0,0,0,0,0,0,0,0,1,1,0,0,2,1,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,14,14,0.0,69,,60.0,12.0,76245.0,205.909,grosjean,8.0,French,haas,American,2019,7,Canadian Grand Prix,65400000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,16.0,8.0,0.0,72109.0,72109.0,72109.0,38,33,Temperatures reaching up to 29.6 °C (85.3 °F); wind speeds negligible[2],0,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,72109.0,72109.0,72109.0,23,10,152,0,0,0,0,0,0,0,0,0,2,1,0,0,0,0,0,0,2,152.0,88.0,78.0,87.0,84.0 +44.0,2,1,25.0,70,5347084.0,62.0,4.0,74813.0,209.851,hamilton,44.0,British,mercedes,German,2019,7,Canadian Grand Prix,65400000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,4.0,295.0,1.0,7.0,71518.0,71010.0,70446.0,39,34,Temperatures reaching up to 29.6 °C (85.3 °F); wind speeds negligible[2],0,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,70446.0,71518.0,70991.33333333333,22,12,236,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,238.0,88.0,88.0,85.0,86.0 +27.0,7,7,6.0,69,,57.0,7.0,75995.0,206.587,hulkenberg,27.0,German,renault,French,2019,7,Canadian Grand Prix,65400000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,28.0,5.0,0.0,71720.0,71553.0,71324.0,37,32,Temperatures reaching up to 29.6 °C (85.3 °F); wind speeds negligible[2],0,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,71324.0,71720.0,71532.33333333333,23,9,165,0,0,0,0,0,0,1,0,0,0,0,0,2,1,0,0,1,0,162.0,86.0,81.0,84.0,83.0 +20.0,20,17,0.0,68,,41.0,19.0,77309.0,203.075,kevin_magnussen,20.0,Danish,haas,American,2019,7,Canadian Grand Prix,65400000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+2 Laps,0.0,16.0,8.0,0.0,72107.0,71786.0,71786.0,32,27,Temperatures reaching up to 29.6 °C (85.3 °F); wind speeds negligible[2],0,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,71786.0,72107.0,71893.0,22,5,89,0,0,0,0,0,1,1,0,0,0,0,0,3,1,0,0,0,0,91.0,83.0,77.0,75.0,75.0 +88.0,19,18,0.0,67,,64.0,18.0,77285.0,203.139,kubica,88.0,Polish,williams,British,2019,7,Canadian Grand Prix,65400000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+3 Laps,0.0,0.0,10.0,0.0,74393.0,74393.0,74393.0,40,35,Temperatures reaching up to 29.6 °C (85.3 °F); wind speeds negligible[2],0,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,74393.0,74393.0,74393.0,22,13,83,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,2,2,77.0,76.0,76.0,70.0,71.0 +26.0,10,10,1.0,69,,44.0,11.0,76198.0,206.036,kvyat,26.0,Russian,toro_rosso,Italian,2019,7,Canadian Grand Prix,65400000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,17.0,7.0,0.0,71965.0,71921.0,71921.0,30,25,Temperatures reaching up to 29.6 °C (85.3 °F); wind speeds negligible[2],0,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,71921.0,71965.0,71935.66666666667,20,5,81,0,0,0,0,0,0,1,0,1,1,0,1,0,0,0,0,0,0,77.0,76.0,76.0,70.0,71.0 +16.0,3,3,15.0,70,5351780.0,63.0,2.0,74356.0,211.14,leclerc,16.0,Monegasque,ferrari,Italian,2019,7,Canadian Grand Prix,65400000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,172.0,2.0,0.0,71214.0,71205.0,70920.0,27,22,Temperatures reaching up to 29.6 °C (85.3 °F); wind speeds negligible[2],0,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,70920.0,71214.0,71113.0,21,1,28,1,0,1,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +33.0,9,5,10.0,70,5404739.0,67.0,3.0,74767.0,209.98,max_verstappen,33.0,Dutch,red_bull,Austrian,2019,7,Canadian Grand Prix,65400000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,124.0,3.0,0.0,71619.0,71800.0,71800.0,27,22,Temperatures reaching up to 29.6 °C (85.3 °F); wind speeds negligible[2],0,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,71619.0,71800.0,71739.66666666667,18,4,88,2,0,2,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,91.0,83.0,77.0,75.0,75.0 +11.0,15,12,0.0,69,,61.0,13.0,76314.0,205.723,perez,11.0,Mexican,racing_point,British,2019,7,Canadian Grand Prix,65400000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,19.0,6.0,0.0,72197.0,72197.0,72197.0,34,29,Temperatures reaching up to 29.6 °C (85.3 °F); wind speeds negligible[2],0,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,72197.0,72197.0,72197.0,21,8,164,0,0,0,0,0,1,0,1,0,1,0,1,1,0,1,0,0,0,162.0,86.0,81.0,84.0,83.0 +7.0,16,15,0.0,69,,60.0,6.0,75442.0,208.101,raikkonen,7.0,Finnish,alfa,Swiss,2019,7,Canadian Grand Prix,65400000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,13.0,9.0,0.0,72230.0,72230.0,72230.0,45,40,Temperatures reaching up to 29.6 °C (85.3 °F); wind speeds negligible[2],0,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,72230.0,72230.0,72230.0,27,13,214,0,0,0,0,0,0,1,1,1,1,0,0,0,1,0,0,1,0,214.0,90.0,82.0,90.0,88.0 +3.0,4,6,8.0,69,,55.0,9.0,76075.0,206.37,ricciardo,3.0,Australian,renault,French,2019,7,Canadian Grand Prix,65400000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,28.0,5.0,0.0,71837.0,71532.0,71071.0,35,30,Temperatures reaching up to 29.6 °C (85.3 °F); wind speeds negligible[2],0,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,71071.0,71837.0,71480.0,22,8,157,0,0,0,0,0,0,1,0,1,0,0,1,0,0,0,0,0,1,158.0,89.0,81.0,86.0,84.0 +63.0,18,16,0.0,68,,58.0,17.0,77241.0,203.254,russell,63.0,British,williams,British,2019,7,Canadian Grand Prix,65400000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+2 Laps,0.0,0.0,10.0,0.0,73617.0,73617.0,73617.0,26,21,Temperatures reaching up to 29.6 °C (85.3 °F); wind speeds negligible[2],0,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,73617.0,73617.0,73617.0,21,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,2,1,0,58.0,72.0,78.0,73.0,72.0 +55.0,11,11,0.0,69,,37.0,15.0,76471.0,205.301,sainz,55.0,Spanish,mclaren,British,2019,7,Canadian Grand Prix,65400000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,30.0,4.0,0.0,71750.0,71572.0,73981.0,30,25,Temperatures reaching up to 29.6 °C (85.3 °F); wind speeds negligible[2],0,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,71572.0,73981.0,72434.33333333333,21,4,88,0,0,0,0,0,1,1,1,0,0,0,0,0,1,0,0,0,0,91.0,83.0,77.0,75.0,75.0 +18.0,17,9,2.0,69,,47.0,8.0,76043.0,206.456,stroll,18.0,Canadian,racing_point,British,2019,7,Canadian Grand Prix,65400000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,19.0,6.0,0.0,72266.0,72266.0,72266.0,26,21,Temperatures reaching up to 29.6 °C (85.3 °F); wind speeds negligible[2],0,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,72266.0,72266.0,72266.0,19,2,48,0,0,0,0,0,0,0,0,2,0,0,1,0,1,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +5.0,1,2,18.0,70,5350742.0,57.0,5.0,74875.0,209.677,vettel,5.0,German,ferrari,Italian,2019,7,Canadian Grand Prix,65400000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,172.0,2.0,0.0,71200.0,71142.0,70240.0,37,32,Temperatures reaching up to 29.6 °C (85.3 °F); wind speeds negligible[2],0,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,70240.0,71200.0,70860.66666666667,20,12,227,3,1,2,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,227.0,89.0,82.0,84.0,85.0 +23.0,11,15,0.0,52,,51.0,12.0,95029.0,221.313,albon,23.0,Thai,toro_rosso,Italian,2019,8,French Grand Prix,47400000.0,ricard,Le Castellet,France,43.2506,5.79167,432.0,+1 Lap,0.0,17.0,8.0,0.0,91445.0,90461.0,90461.0,28,23,Clear,1,0,0,0,0,Race circuit,Clockwise,5.842,53.0,309.626,90461.0,91445.0,90789.0,23,0,8,0,0,0,0,0,0,0,1,1,1,2,0,0,1,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +77.0,2,2,18.0,53,5089254.0,43.0,3.0,93586.0,224.725,bottas,77.0,Finnish,mercedes,German,2019,8,French Grand Prix,47400000.0,ricard,Le Castellet,France,43.2506,5.79167,432.0,Finished,2.0,338.0,1.0,8.0,90550.0,89437.0,88605.0,35,30,Clear,1,0,0,0,0,Race circuit,Clockwise,5.842,53.0,309.626,88605.0,90550.0,89530.66666666667,24,6,127,6,3,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,130.0,89.0,85.0,82.0,82.0 +10.0,9,10,1.0,52,,47.0,15.0,95197.0,220.922,gasly,10.0,French,red_bull,Austrian,2019,8,French Grand Prix,47400000.0,ricard,Le Castellet,France,43.2506,5.79167,432.0,+1 Lap,0.0,137.0,3.0,0.0,91152.0,90421.0,90184.0,28,23,Clear,1,0,0,0,0,Race circuit,Clockwise,5.842,53.0,309.626,90184.0,91152.0,90585.66666666669,21,2,34,0,0,0,0,1,2,0,2,0,0,1,0,0,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +99.0,10,16,0.0,52,,50.0,13.0,95115.0,221.113,giovinazzi,99.0,Italian,alfa,Swiss,2019,8,French Grand Prix,47400000.0,ricard,Le Castellet,France,43.2506,5.79167,432.0,+1 Lap,0.0,19.0,7.0,0.0,91180.0,90408.0,93420.0,31,26,Clear,1,0,0,0,0,Race circuit,Clockwise,5.842,53.0,309.626,90408.0,93420.0,91669.33333333331,24,2,10,0,0,0,0,0,0,0,0,0,0,1,1,1,0,2,1,0,0,58.0,72.0,78.0,73.0,72.0 +44.0,1,1,25.0,53,5071198.0,53.0,2.0,92764.0,226.717,hamilton,44.0,British,mercedes,German,2019,8,French Grand Prix,47400000.0,ricard,Le Castellet,France,43.2506,5.79167,432.0,Finished,5.0,338.0,1.0,8.0,90609.0,89520.0,88319.0,39,34,Clear,1,0,0,0,0,Race circuit,Clockwise,5.842,53.0,309.626,88319.0,90609.0,89482.66666666667,22,12,237,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,238.0,88.0,88.0,85.0,86.0 +27.0,13,8,4.0,52,,46.0,10.0,94950.0,221.497,hulkenberg,27.0,German,renault,French,2019,8,French Grand Prix,47400000.0,ricard,Le Castellet,France,43.2506,5.79167,432.0,+1 Lap,0.0,32.0,5.0,0.0,90865.0,90544.0,90544.0,37,32,Clear,1,0,0,0,0,Race circuit,Clockwise,5.842,53.0,309.626,90544.0,90865.0,90651.0,23,9,166,0,0,0,0,0,0,2,0,0,0,0,0,2,1,0,0,1,0,165.0,89.0,83.0,87.0,85.0 +20.0,15,17,0.0,52,,50.0,18.0,95692.0,219.78,kevin_magnussen,20.0,Danish,haas,American,2019,8,French Grand Prix,47400000.0,ricard,Le Castellet,France,43.2506,5.79167,432.0,+1 Lap,0.0,16.0,9.0,0.0,91166.0,91440.0,91440.0,32,27,Clear,1,0,0,0,0,Race circuit,Clockwise,5.842,53.0,309.626,91166.0,91440.0,91348.66666666669,22,5,90,0,0,0,0,0,1,1,0,0,0,0,0,3,1,0,0,1,0,91.0,83.0,77.0,75.0,75.0 +88.0,18,18,0.0,51,,50.0,20.0,96608.0,217.696,kubica,88.0,Polish,williams,British,2019,8,French Grand Prix,47400000.0,ricard,Le Castellet,France,43.2506,5.79167,432.0,+2 Laps,0.0,0.0,10.0,0.0,93205.0,93205.0,93205.0,40,35,Clear,1,0,0,0,0,Race circuit,Clockwise,5.842,53.0,309.626,93205.0,93205.0,93205.0,22,13,84,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,2,3,77.0,76.0,76.0,70.0,71.0 +26.0,19,14,0.0,52,,43.0,16.0,95225.0,220.857,kvyat,26.0,Russian,toro_rosso,Italian,2019,8,French Grand Prix,47400000.0,ricard,Le Castellet,France,43.2506,5.79167,432.0,+1 Lap,0.0,17.0,8.0,0.0,91564.0,91564.0,91564.0,30,25,Clear,1,0,0,0,0,Race circuit,Clockwise,5.842,53.0,309.626,91564.0,91564.0,91564.0,20,5,82,0,0,0,0,0,0,1,0,1,2,0,1,0,0,0,0,0,0,77.0,76.0,76.0,70.0,71.0 +16.0,3,3,15.0,53,5090183.0,40.0,4.0,93828.0,224.146,leclerc,16.0,Monegasque,ferrari,Italian,2019,8,French Grand Prix,47400000.0,ricard,Le Castellet,France,43.2506,5.79167,432.0,Finished,0.0,198.0,2.0,0.0,90647.0,89699.0,88965.0,27,22,Clear,1,0,0,0,0,Race circuit,Clockwise,5.842,53.0,309.626,88965.0,90647.0,89770.33333333333,21,1,29,2,0,2,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +33.0,4,4,12.0,53,5106103.0,38.0,5.0,94162.0,223.351,max_verstappen,33.0,Dutch,red_bull,Austrian,2019,8,French Grand Prix,47400000.0,ricard,Le Castellet,France,43.2506,5.79167,432.0,Finished,0.0,137.0,3.0,0.0,91327.0,90099.0,89409.0,27,22,Clear,1,0,0,0,0,Race circuit,Clockwise,5.842,53.0,309.626,89409.0,91327.0,90278.33333333331,18,4,89,2,0,2,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,91.0,83.0,77.0,75.0,75.0 +4.0,5,9,2.0,52,,45.0,7.0,94754.0,221.955,norris,4.0,British,mclaren,British,2019,8,French Grand Prix,47400000.0,ricard,Le Castellet,France,43.2506,5.79167,432.0,+1 Lap,0.0,40.0,4.0,0.0,90989.0,90019.0,89418.0,25,20,Clear,1,0,0,0,0,Race circuit,Clockwise,5.842,53.0,309.626,89418.0,90989.0,90142.0,20,0,8,0,0,0,0,0,1,0,1,0,0,1,1,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +11.0,14,12,0.0,52,,42.0,11.0,95014.0,221.348,perez,11.0,Mexican,racing_point,British,2019,8,French Grand Prix,47400000.0,ricard,Le Castellet,France,43.2506,5.79167,432.0,+1 Lap,0.0,19.0,6.0,0.0,90964.0,90738.0,90738.0,34,29,Clear,1,0,0,0,0,Race circuit,Clockwise,5.842,53.0,309.626,90738.0,90964.0,90813.33333333331,21,8,165,0,0,0,0,0,1,0,1,0,1,0,2,1,0,1,0,0,0,162.0,86.0,81.0,84.0,83.0 +7.0,12,7,6.0,52,,47.0,8.0,94873.0,221.677,raikkonen,7.0,Finnish,alfa,Swiss,2019,8,French Grand Prix,47400000.0,ricard,Le Castellet,France,43.2506,5.79167,432.0,+1 Lap,0.0,19.0,7.0,0.0,90972.0,90533.0,90533.0,45,40,Clear,1,0,0,0,0,Race circuit,Clockwise,5.842,53.0,309.626,90533.0,90972.0,90679.33333333331,27,13,215,0,0,0,0,0,0,1,1,1,1,0,0,0,1,1,0,1,0,215.0,89.0,83.0,90.0,88.0 +3.0,8,11,0.0,52,,42.0,14.0,95150.0,221.032,ricciardo,3.0,Australian,renault,French,2019,8,French Grand Prix,47400000.0,ricard,Le Castellet,France,43.2506,5.79167,432.0,+1 Lap,0.0,32.0,5.0,0.0,90954.0,90369.0,89918.0,35,30,Clear,1,0,0,0,0,Race circuit,Clockwise,5.842,53.0,309.626,89918.0,90954.0,90413.66666666669,22,8,158,0,0,0,0,0,1,1,0,1,0,0,1,0,0,0,0,0,1,158.0,89.0,81.0,86.0,84.0 +63.0,20,19,0.0,51,,51.0,19.0,95830.0,219.463,russell,63.0,British,williams,British,2019,8,French Grand Prix,47400000.0,ricard,Le Castellet,France,43.2506,5.79167,432.0,+2 Laps,0.0,0.0,10.0,0.0,92789.0,92789.0,92789.0,26,21,Clear,1,0,0,0,0,Race circuit,Clockwise,5.842,53.0,309.626,92789.0,92789.0,92789.0,21,0,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,3,1,0,58.0,72.0,78.0,73.0,72.0 +55.0,6,6,8.0,53,5166660.0,52.0,6.0,94561.0,222.408,sainz,55.0,Spanish,mclaren,British,2019,8,French Grand Prix,47400000.0,ricard,Le Castellet,France,43.2506,5.79167,432.0,Finished,0.0,40.0,4.0,0.0,91073.0,90319.0,89522.0,30,25,Clear,1,0,0,0,0,Race circuit,Clockwise,5.842,53.0,309.626,89522.0,91073.0,90304.66666666669,21,4,89,0,0,0,0,0,1,1,1,0,0,1,0,0,1,0,0,0,0,91.0,83.0,77.0,75.0,75.0 +18.0,17,13,0.0,52,,44.0,9.0,94924.0,221.558,stroll,18.0,Canadian,racing_point,British,2019,8,French Grand Prix,47400000.0,ricard,Le Castellet,France,43.2506,5.79167,432.0,+1 Lap,0.0,19.0,6.0,0.0,91726.0,91726.0,91726.0,26,21,Clear,1,0,0,0,0,Race circuit,Clockwise,5.842,53.0,309.626,91726.0,91726.0,91726.0,19,2,49,0,0,0,0,0,0,0,0,3,0,0,1,0,1,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +5.0,7,5,11.0,53,5133994.0,53.0,1.0,92740.0,226.775,vettel,5.0,German,ferrari,Italian,2019,8,French Grand Prix,47400000.0,ricard,Le Castellet,France,43.2506,5.79167,432.0,Finished,0.0,198.0,2.0,0.0,91075.0,89506.0,89799.0,37,32,Clear,1,0,0,0,0,Race circuit,Clockwise,5.842,53.0,309.626,89506.0,91075.0,90126.66666666669,20,12,228,4,2,2,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,227.0,89.0,82.0,84.0,85.0 +23.0,18,15,0.0,70,,59.0,11.0,68946.0,225.463,albon,23.0,Thai,toro_rosso,Italian,2019,9,Austrian Grand Prix,47400000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,17.0,8.0,0.0,64708.0,64665.00000000001,64665.00000000001,28,23,"Sunny, 36C (97F)",1,0,0,0,0,Race circuit,Clockwise,4.318,71.0,306.452,64665.00000000001,64708.0,64679.333333333336,23,0,9,0,0,0,0,0,0,0,1,1,1,2,0,0,1,1,0,0,0,58.0,72.0,78.0,73.0,72.0 +77.0,3,3,15.0,71,4940782.0,53.0,7.0,68565.0,226.716,bottas,77.0,Finnish,mercedes,German,2019,9,Austrian Grand Prix,47400000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,2.0,363.0,1.0,8.0,64084.0,63863.0,63537.0,35,30,"Sunny, 36C (97F)",1,0,0,0,0,Race circuit,Clockwise,4.318,71.0,306.452,63537.0,64084.0,63828.0,24,6,128,7,4,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,133.0,90.0,90.0,81.0,84.0 +10.0,8,7,6.0,70,,63.0,9.0,68790.0,225.974,gasly,10.0,French,red_bull,Austrian,2019,9,Austrian Grand Prix,47400000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,169.0,3.0,1.0,64412.00000000001,63988.0,64199.0,28,23,"Sunny, 36C (97F)",1,0,0,0,0,Race circuit,Clockwise,4.318,71.0,306.452,63988.0,64412.00000000001,64199.66666666666,21,2,35,0,0,0,0,1,2,0,2,0,1,1,0,0,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +99.0,7,10,1.0,70,,57.0,13.0,69051.0,225.12,giovinazzi,99.0,Italian,alfa,Swiss,2019,9,Austrian Grand Prix,47400000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,22.0,6.0,0.0,64450.0,64194.0,64179.0,31,26,"Sunny, 36C (97F)",1,0,0,0,0,Race circuit,Clockwise,4.318,71.0,306.452,64179.0,64450.0,64274.333333333336,24,2,11,0,0,0,0,0,0,0,0,0,0,1,1,1,0,2,2,0,0,58.0,72.0,78.0,73.0,72.0 +8.0,11,16,0.0,70,,56.0,12.0,68987.0,225.329,grosjean,8.0,French,haas,American,2019,9,Austrian Grand Prix,47400000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,16.0,9.0,0.0,64552.00000000001,64489.99999999999,64489.99999999999,38,33,"Sunny, 36C (97F)",1,0,0,0,0,Race circuit,Clockwise,4.318,71.0,306.452,64489.99999999999,64552.00000000001,64510.66666666666,23,10,154,0,0,0,0,0,0,0,0,0,2,1,0,0,1,0,0,0,2,152.0,88.0,78.0,87.0,84.0 +44.0,4,5,10.0,71,4944627.0,69.0,5.0,68050.0,228.432,hamilton,44.0,British,mercedes,German,2019,9,Austrian Grand Prix,47400000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,6.0,363.0,1.0,8.0,63818.0,63803.0,63262.0,39,34,"Sunny, 36C (97F)",1,0,0,0,0,Race circuit,Clockwise,4.318,71.0,306.452,63262.0,63818.0,63627.66666666666,22,12,238,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,238.0,88.0,88.0,85.0,86.0 +27.0,15,13,0.0,70,,59.0,16.0,69248.0,224.48,hulkenberg,27.0,German,renault,French,2019,9,Austrian Grand Prix,47400000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,32.0,5.0,0.0,64733.00000000001,64516.00000000001,64516.00000000001,37,32,"Sunny, 36C (97F)",1,0,0,0,0,Race circuit,Clockwise,4.318,71.0,306.452,64516.00000000001,64733.00000000001,64588.33333333334,23,9,167,0,0,0,0,0,0,2,1,0,0,0,0,2,1,0,0,1,0,165.0,89.0,83.0,87.0,85.0 +20.0,10,19,0.0,69,,69.0,10.0,68903.0,225.604,kevin_magnussen,20.0,Danish,haas,American,2019,9,Austrian Grand Prix,47400000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+2 Laps,0.0,16.0,9.0,0.0,64778.00000000001,64465.99999999999,64072.0,32,27,"Sunny, 36C (97F)",1,0,0,0,0,Race circuit,Clockwise,4.318,71.0,306.452,64072.0,64778.00000000001,64438.66666666666,22,5,91,0,0,0,0,0,1,1,0,0,0,0,0,3,1,0,0,2,0,96.0,84.0,79.0,78.0,77.0 +88.0,17,20,0.0,68,,55.0,20.0,70964.0,219.051,kubica,88.0,Polish,williams,British,2019,9,Austrian Grand Prix,47400000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+3 Laps,0.0,0.0,10.0,0.0,66206.0,66206.0,66206.0,40,35,"Sunny, 36C (97F)",1,0,0,0,0,Race circuit,Clockwise,4.318,71.0,306.452,66206.0,66206.0,66206.0,22,13,85,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,2,4,77.0,76.0,76.0,70.0,71.0 +26.0,16,17,0.0,70,,58.0,18.0,69498.0,223.672,kvyat,26.0,Russian,toro_rosso,Italian,2019,9,Austrian Grand Prix,47400000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,17.0,8.0,0.0,65324.0,65324.0,65324.0,30,25,"Sunny, 36C (97F)",1,0,0,0,0,Race circuit,Clockwise,4.318,71.0,306.452,65324.0,65324.0,65324.0,20,5,83,0,0,0,0,0,0,1,0,1,2,0,1,0,1,0,0,0,0,77.0,76.0,76.0,70.0,71.0 +16.0,1,2,18.0,71,4924546.0,58.0,3.0,67994.0,228.62,leclerc,16.0,Monegasque,ferrari,Italian,2019,9,Austrian Grand Prix,47400000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,0.0,228.0,2.0,0.0,64138.00000000001,63378.0,63003.0,27,22,"Sunny, 36C (97F)",1,0,0,0,0,Race circuit,Clockwise,4.318,71.0,306.452,63003.0,64138.00000000001,63506.333333333336,21,1,30,3,0,3,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +33.0,2,1,26.0,71,4921822.0,60.0,1.0,67475.0,230.378,max_verstappen,33.0,Dutch,red_bull,Austrian,2019,9,Austrian Grand Prix,47400000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,0.0,169.0,3.0,1.0,63807.0,63835.0,63439.0,27,22,"Sunny, 36C (97F)",1,0,0,0,0,Race circuit,Clockwise,4.318,71.0,306.452,63439.0,63835.0,63693.66666666666,18,4,90,2,0,2,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,91.0,83.0,77.0,75.0,75.0 +4.0,5,6,8.0,70,,69.0,8.0,68699.0,226.274,norris,4.0,British,mclaren,British,2019,9,Austrian Grand Prix,47400000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,52.0,4.0,0.0,64361.00000000001,64211.0,64099.00000000001,25,20,"Sunny, 36C (97F)",1,0,0,0,0,Race circuit,Clockwise,4.318,71.0,306.452,64099.00000000001,64361.00000000001,64223.66666666666,20,0,9,0,0,0,0,0,1,0,1,1,0,1,1,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +11.0,13,11,0.0,70,,67.0,14.0,69061.0,225.087,perez,11.0,Mexican,racing_point,British,2019,9,Austrian Grand Prix,47400000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,19.0,7.0,0.0,64789.0,64789.0,64789.0,34,29,"Sunny, 36C (97F)",1,0,0,0,0,Race circuit,Clockwise,4.318,71.0,306.452,64789.0,64789.0,64789.0,21,8,166,0,0,0,0,0,1,0,1,0,1,0,3,1,0,1,0,0,0,165.0,89.0,83.0,87.0,85.0 +7.0,6,9,2.0,70,,57.0,15.0,69126.0,224.876,raikkonen,7.0,Finnish,alfa,Swiss,2019,9,Austrian Grand Prix,47400000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,22.0,6.0,0.0,64614.99999999999,64056.0,64166.0,45,40,"Sunny, 36C (97F)",1,0,0,0,0,Race circuit,Clockwise,4.318,71.0,306.452,64056.0,64614.99999999999,64279.0,27,13,216,0,0,0,0,0,0,2,1,1,1,0,0,0,1,1,0,1,0,215.0,89.0,83.0,90.0,88.0 +3.0,12,12,0.0,70,,65.0,4.0,68019.0,228.536,ricciardo,3.0,Australian,renault,French,2019,9,Austrian Grand Prix,47400000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,32.0,5.0,0.0,64647.00000000001,64790.00000000001,64790.00000000001,35,30,"Sunny, 36C (97F)",1,0,0,0,0,Race circuit,Clockwise,4.318,71.0,306.452,64647.00000000001,64790.00000000001,64742.33333333334,22,8,159,0,0,0,0,0,1,1,0,1,0,1,1,0,0,0,0,0,1,158.0,89.0,81.0,86.0,84.0 +63.0,20,18,0.0,69,,52.0,19.0,69926.0,222.303,russell,63.0,British,williams,British,2019,9,Austrian Grand Prix,47400000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+2 Laps,0.0,0.0,10.0,0.0,65904.0,65904.0,65904.0,26,21,"Sunny, 36C (97F)",1,0,0,0,0,Race circuit,Clockwise,4.318,71.0,306.452,65904.0,65904.0,65904.0,21,0,9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,3,1,0,58.0,72.0,78.0,73.0,72.0 +55.0,19,8,4.0,70,,53.0,6.0,68117.0,228.207,sainz,55.0,Spanish,mclaren,British,2019,9,Austrian Grand Prix,47400000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,52.0,4.0,0.0,64453.0,73601.0,73601.0,30,25,"Sunny, 36C (97F)",1,0,0,0,0,Race circuit,Clockwise,4.318,71.0,306.452,64453.0,73601.0,70551.66666666667,21,4,90,0,0,0,0,0,2,1,1,0,0,1,0,0,1,0,0,0,0,91.0,83.0,77.0,75.0,75.0 +18.0,14,14,0.0,70,,57.0,17.0,69288.0,224.35,stroll,18.0,Canadian,racing_point,British,2019,9,Austrian Grand Prix,47400000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,19.0,7.0,0.0,64831.99999999999,64831.99999999999,64831.99999999999,26,21,"Sunny, 36C (97F)",1,0,0,0,0,Race circuit,Clockwise,4.318,71.0,306.452,64831.99999999999,64831.99999999999,64831.99999999999,19,2,50,0,0,0,0,0,0,0,0,3,0,0,1,1,1,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +5.0,9,4,12.0,71,4941432.0,62.0,2.0,67676.0,229.694,vettel,5.0,German,ferrari,Italian,2019,9,Austrian Grand Prix,47400000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,0.0,228.0,2.0,0.0,64430.00000000001,63667.0,63667.0,37,32,"Sunny, 36C (97F)",1,0,0,0,0,Race circuit,Clockwise,4.318,71.0,306.452,63667.0,64430.00000000001,63921.333333333336,20,12,229,4,2,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,230.0,89.0,83.0,85.0,85.0 +23.0,9,12,0.0,52,4944069.0,46.0,15.0,90872.0,233.378,albon,23.0,Thai,toro_rosso,Italian,2019,10,British Grand Prix,47400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,19.0,8.0,0.0,86482.0,86403.0,86345.0,28,23,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,86345.0,86482.0,86410.0,23,0,10,0,0,0,0,0,0,0,1,1,1,2,0,0,1,2,0,0,0,58.0,72.0,78.0,73.0,72.0 +77.0,1,2,18.0,52,4893380.0,47.0,2.0,87406.0,242.633,bottas,77.0,Finnish,mercedes,German,2019,10,British Grand Prix,47400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,2.0,407.0,1.0,9.0,85750.0,85672.0,85093.0,35,30,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,85093.0,85750.0,85505.0,24,6,129,8,4,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,133.0,90.0,90.0,81.0,84.0 +10.0,5,4,12.0,52,4903144.0,48.0,8.0,89544.0,236.839,gasly,10.0,French,red_bull,Austrian,2019,10,British Grand Prix,47400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,191.0,3.0,1.0,86273.0,86038.0,85590.0,28,23,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,85590.0,86273.0,85967.0,21,2,36,0,0,0,0,1,2,1,2,0,1,1,0,0,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +44.0,2,1,26.0,52,4868452.0,52.0,1.0,87369.0,242.735,hamilton,44.0,British,mercedes,German,2019,10,British Grand Prix,47400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,6.0,407.0,1.0,9.0,85513.0,85840.0,85099.0,39,34,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,85099.0,85840.0,85484.0,22,12,239,8,2,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,238.0,88.0,88.0,85.0,86.0 +27.0,10,10,1.0,52,4941185.0,51.0,13.0,89949.0,235.773,hulkenberg,27.0,German,renault,French,2019,10,British Grand Prix,47400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,39.0,5.0,0.0,86568.0,86397.0,86386.0,37,32,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,86386.0,86568.0,86450.33333333333,23,9,168,0,0,0,0,0,0,2,1,0,0,0,0,3,1,0,0,1,0,165.0,89.0,83.0,87.0,85.0 +88.0,20,15,0.0,51,,50.0,17.0,91509.0,231.754,kubica,88.0,Polish,williams,British,2019,10,British Grand Prix,47400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,0.0,10.0,0.0,88257.0,88257.0,88257.0,40,35,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,88257.0,88257.0,88257.0,22,13,86,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,2,4,91.0,83.0,77.0,75.0,75.0 +26.0,17,9,2.0,52,4935172.0,51.0,12.0,89910.0,235.875,kvyat,26.0,Russian,toro_rosso,Italian,2019,10,British Grand Prix,47400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,19.0,8.0,0.0,86721.0,86721.0,86721.0,30,25,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,86721.0,86721.0,86721.0,20,5,84,0,0,0,0,0,0,1,0,1,2,0,1,0,1,0,0,1,0,77.0,76.0,76.0,70.0,71.0 +16.0,3,3,15.0,52,4898569.0,47.0,5.0,89313.0,237.452,leclerc,16.0,Monegasque,ferrari,Italian,2019,10,British Grand Prix,47400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,243.0,2.0,0.0,85533.0,85546.0,85172.0,27,22,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,85172.0,85546.0,85417.0,21,1,31,4,1,3,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +33.0,4,5,10.0,52,4907910.0,45.0,4.0,89272.0,237.561,max_verstappen,33.0,Dutch,red_bull,Austrian,2019,10,British Grand Prix,47400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,1.0,191.0,3.0,1.0,85700.0,85848.0,85276.0,27,22,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,85276.0,85848.0,85608.0,18,4,91,3,0,2,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,96.0,84.0,79.0,78.0,77.0 +4.0,8,11,0.0,52,4942733.0,50.0,10.0,89636.0,236.596,norris,4.0,British,mclaren,British,2019,10,British Grand Prix,47400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,60.0,4.0,0.0,86079.0,86385.0,86224.0,25,20,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,86079.0,86385.0,86229.33333333333,20,0,10,0,0,0,0,0,2,0,1,1,0,1,1,0,0,0,0,0,1,58.0,72.0,78.0,73.0,72.0 +11.0,15,17,0.0,51,,50.0,7.0,89456.0,237.072,perez,11.0,Mexican,racing_point,British,2019,10,British Grand Prix,47400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,19.0,7.0,0.0,86649.0,86928.0,86928.0,34,29,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,86649.0,86928.0,86835.0,21,8,167,0,0,0,0,0,1,0,1,0,1,1,3,1,0,1,0,0,0,165.0,89.0,83.0,87.0,85.0 +7.0,12,8,4.0,52,4933992.0,51.0,14.0,90034.0,235.551,raikkonen,7.0,Finnish,alfa,Swiss,2019,10,British Grand Prix,47400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,26.0,6.0,0.0,86558.0,86546.0,86546.0,45,40,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,86546.0,86558.0,86550.0,27,13,217,0,0,0,0,0,0,2,1,2,1,0,0,0,1,1,0,1,0,219.0,90.0,82.0,87.0,87.0 +3.0,7,7,6.0,52,4922853.0,50.0,9.0,89624.0,236.628,ricciardo,3.0,Australian,renault,French,2019,10,British Grand Prix,47400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,39.0,5.0,0.0,86428.0,86283.0,86182.0,35,30,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,86182.0,86428.0,86297.66666666667,22,8,160,0,0,0,0,0,1,1,0,1,0,1,2,0,0,0,0,0,1,158.0,89.0,81.0,86.0,84.0 +63.0,19,14,0.0,51,,50.0,16.0,91013.0,233.017,russell,63.0,British,williams,British,2019,10,British Grand Prix,47400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,0.0,10.0,0.0,87789.0,87789.0,87789.0,26,21,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,87789.0,87789.0,87789.0,21,0,10,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,3,1,1,58.0,72.0,78.0,73.0,72.0 +55.0,13,6,8.0,52,4922091.0,50.0,11.0,89757.0,236.277,sainz,55.0,Spanish,mclaren,British,2019,10,British Grand Prix,47400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,60.0,4.0,0.0,86203.0,86578.0,86578.0,30,25,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,86203.0,86578.0,86453.0,21,4,91,0,0,0,0,0,2,1,2,0,0,1,0,0,1,0,0,0,0,96.0,84.0,79.0,78.0,77.0 +18.0,18,13,0.0,52,4949538.0,49.0,6.0,89390.0,237.248,stroll,18.0,Canadian,racing_point,British,2019,10,British Grand Prix,47400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,19.0,7.0,0.0,86762.0,86762.0,86762.0,26,21,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,86762.0,86762.0,86762.0,19,2,51,0,0,0,0,0,0,0,0,3,0,0,1,1,2,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +5.0,6,16,0.0,51,,46.0,3.0,88733.0,239.004,vettel,5.0,German,ferrari,Italian,2019,10,British Grand Prix,47400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,243.0,2.0,0.0,85898.0,86023.0,85787.0,37,32,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,85787.0,86023.0,85902.66666666667,20,12,230,4,2,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,230.0,89.0,83.0,85.0,85.0 +23.0,16,6,8.0,64,6281327.0,63.0,10.0,77850.0,211.514,albon,23.0,Thai,toro_rosso,Italian,2019,11,German Grand Prix,47400000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,0.0,42.0,5.0,0.0,73461.0,73461.0,73461.0,28,23,"Early rain, Late clouds",0,0,0,1,1,Race circuit,Clockwise,4.574,64.0,292.736,73461.0,73461.0,73461.0,23,0,11,0,0,0,0,0,0,0,1,1,1,2,1,0,1,2,0,0,0,58.0,72.0,78.0,73.0,72.0 +99.0,11,13,0.0,64,6315124.0,60.0,14.0,79300.0,207.646,giovinazzi,99.0,Italian,alfa,Swiss,2019,11,German Grand Prix,47400000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,0.0,26.0,9.0,0.0,73170.0,72786.0,72786.0,31,26,"Early rain, Late clouds",0,0,0,1,1,Race circuit,Clockwise,4.574,64.0,292.736,72786.0,73170.0,72914.0,24,2,13,0,0,0,0,0,0,0,0,0,1,1,1,1,0,2,2,0,1,58.0,72.0,78.0,73.0,72.0 +8.0,6,7,6.0,64,6288113.0,55.0,7.0,77746.0,211.797,grosjean,8.0,French,haas,American,2019,11,German Grand Prix,47400000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,0.0,26.0,8.0,0.0,73146.0,72769.0,72851.0,38,33,"Early rain, Late clouds",0,0,0,1,1,Race circuit,Clockwise,4.574,64.0,292.736,72769.0,73146.0,72922.0,23,10,156,0,0,0,0,0,0,0,0,0,2,1,0,0,1,0,1,0,2,157.0,91.0,83.0,88.0,87.0 +44.0,1,9,2.0,64,6290942.0,64.0,12.0,78811.0,208.935,hamilton,44.0,British,mercedes,German,2019,11,German Grand Prix,47400000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,7.0,409.0,1.0,9.0,72852.0,72149.0,71767.0,39,34,"Early rain, Late clouds",0,0,0,1,1,Race circuit,Clockwise,4.574,64.0,292.736,71767.0,72852.0,72256.0,22,12,240,9,2,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,238.0,88.0,88.0,85.0,86.0 +20.0,12,8,4.0,64,6290040.0,62.0,5.0,77507.0,212.45,kevin_magnussen,20.0,Danish,haas,American,2019,11,German Grand Prix,47400000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,0.0,26.0,8.0,0.0,73103.0,72789.0,72789.0,32,27,"Early rain, Late clouds",0,0,0,1,1,Race circuit,Clockwise,4.574,64.0,292.736,72789.0,73103.0,72893.66666666667,22,5,93,0,0,0,0,0,1,1,0,0,0,0,0,3,1,0,0,2,0,96.0,84.0,79.0,78.0,77.0 +88.0,18,10,1.0,64,6296262.0,63.0,13.0,79062.0,208.271,kubica,88.0,Polish,williams,British,2019,11,German Grand Prix,47400000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,0.0,1.0,10.0,0.0,74839.0,74839.0,74839.0,40,35,"Early rain, Late clouds",0,0,0,1,1,Race circuit,Clockwise,4.574,64.0,292.736,74839.0,74839.0,74839.0,22,13,87,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,2,4,91.0,83.0,77.0,75.0,75.0 +26.0,14,3,15.0,64,6279580.0,61.0,6.0,77708.0,211.9,kvyat,26.0,Russian,toro_rosso,Italian,2019,11,German Grand Prix,47400000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,0.0,42.0,5.0,0.0,73278.0,73135.0,73135.0,30,25,"Early rain, Late clouds",0,0,0,1,1,Race circuit,Clockwise,4.574,64.0,292.736,73135.0,73278.0,73182.66666666667,20,5,85,0,0,0,0,0,0,1,0,2,2,0,1,0,1,0,0,1,0,77.0,76.0,76.0,70.0,71.0 +33.0,2,1,26.0,64,6271275.0,61.0,1.0,76645.0,214.839,max_verstappen,33.0,Dutch,red_bull,Austrian,2019,11,German Grand Prix,47400000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,1.0,217.0,3.0,2.0,72593.0,72427.0,72113.0,27,22,"Early rain, Late clouds",0,0,0,1,1,Race circuit,Clockwise,4.574,64.0,292.736,72113.0,72593.0,72377.66666666667,18,4,92,3,0,2,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,96.0,84.0,79.0,78.0,77.0 +7.0,5,12,0.0,64,6313489.0,60.0,15.0,79563.0,206.96,raikkonen,7.0,Finnish,alfa,Swiss,2019,11,German Grand Prix,47400000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,0.0,26.0,9.0,0.0,73066.0,72519.0,72538.0,45,40,"Early rain, Late clouds",0,0,0,1,1,Race circuit,Clockwise,4.574,64.0,292.736,72519.0,73066.0,72707.66666666667,27,13,218,0,0,0,0,0,0,2,2,2,1,0,0,0,1,1,0,1,0,219.0,90.0,82.0,87.0,87.0 +63.0,17,11,0.0,64,6297679.0,60.0,3.0,77485.0,212.51,russell,63.0,British,williams,British,2019,11,German Grand Prix,47400000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,0.0,1.0,10.0,0.0,74721.0,74721.0,74721.0,26,21,"Early rain, Late clouds",0,0,0,1,1,Race circuit,Clockwise,4.574,64.0,292.736,74721.0,74721.0,74721.0,21,0,11,0,0,0,0,0,0,0,0,0,0,0,0,0,1,3,3,1,1,58.0,72.0,78.0,73.0,72.0 +55.0,7,5,10.0,64,6280858.0,63.0,9.0,77841.0,211.538,sainz,55.0,Spanish,mclaren,British,2019,11,German Grand Prix,47400000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,0.0,70.0,4.0,0.0,73221.0,72632.0,72897.0,30,25,"Early rain, Late clouds",0,0,0,1,1,Race circuit,Clockwise,4.574,64.0,292.736,72632.0,73221.0,72916.66666666667,21,4,92,0,0,0,0,0,3,1,2,0,0,1,0,0,1,0,0,0,0,96.0,84.0,79.0,78.0,77.0 +18.0,15,4,12.0,64,6280241.0,61.0,8.0,77831.0,211.566,stroll,18.0,Canadian,racing_point,British,2019,11,German Grand Prix,47400000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,0.0,31.0,7.0,0.0,73256.0,73450.0,73450.0,26,21,"Early rain, Late clouds",0,0,0,1,1,Race circuit,Clockwise,4.574,64.0,292.736,73256.0,73450.0,73385.33333333333,19,2,52,0,0,0,0,0,0,0,0,3,0,0,1,2,2,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +5.0,20,2,18.0,64,6278608.0,63.0,2.0,76794.0,214.423,vettel,5.0,German,ferrari,Italian,2019,11,German Grand Prix,47400000.0,hockenheimring,Hockenheim,Germany,49.3278,8.56583,103.0,Finished,0.0,261.0,2.0,0.0,74839.0,74839.0,74839.0,37,32,"Early rain, Late clouds",0,0,0,1,1,Race circuit,Clockwise,4.574,64.0,292.736,74839.0,74839.0,74839.0,20,12,231,4,2,2,3,2,0,0,0,0,0,0,0,0,0,0,1,0,0,230.0,89.0,83.0,85.0,85.0 +23.0,12,10,1.0,69,,65.0,7.0,80621.0,195.626,albon,23.0,Thai,toro_rosso,Italian,2019,12,Hungarian Grand Prix,47400000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,43.0,5.0,0.0,76912.0,76687.0,76687.0,28,23,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,76687.0,76912.0,76762.0,23,0,12,0,0,0,0,0,1,0,1,1,1,2,1,0,1,2,0,0,0,58.0,72.0,78.0,73.0,72.0 +77.0,2,8,4.0,69,,59.0,3.0,79331.0,198.807,bottas,77.0,Finnish,mercedes,German,2019,12,Hungarian Grand Prix,47400000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,2.0,438.0,1.0,10.0,76078.0,75669.0,74590.0,35,30,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,74590.0,76078.0,75445.66666666667,24,6,131,9,5,2,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,133.0,90.0,90.0,81.0,84.0 +10.0,6,6,8.0,69,,65.0,12.0,81045.0,194.602,gasly,10.0,French,red_bull,Austrian,2019,12,Hungarian Grand Prix,47400000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,244.0,3.0,2.0,76716.0,76393.0,75450.0,28,23,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,75450.0,76716.0,76186.33333333333,21,2,38,0,0,0,1,1,2,1,2,0,1,1,0,0,1,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +99.0,17,18,0.0,68,,64.0,19.0,83134.0,189.712,giovinazzi,99.0,Italian,alfa,Swiss,2019,12,Hungarian Grand Prix,47400000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+2 Laps,0.0,32.0,7.0,0.0,76894.0,76804.0,76804.0,31,26,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,76804.0,76894.0,76834.0,24,2,14,0,0,0,0,0,0,0,0,0,1,1,1,2,0,2,2,0,1,58.0,72.0,78.0,73.0,72.0 +44.0,3,1,25.0,70,5703796.0,60.0,2.0,78528.0,200.84,hamilton,44.0,British,mercedes,German,2019,12,Hungarian Grand Prix,47400000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,7.0,438.0,1.0,10.0,76068.0,75548.0,74769.0,39,34,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,74769.0,76068.0,75461.66666666667,22,12,241,9,2,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,242.0,89.0,86.0,87.0,87.0 +27.0,11,12,0.0,69,,59.0,14.0,81650.0,193.161,hulkenberg,27.0,German,renault,French,2019,12,Hungarian Grand Prix,47400000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,39.0,6.0,0.0,76790.0,76565.0,76565.0,37,32,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,76565.0,76790.0,76640.0,23,9,170,0,0,0,0,0,0,2,1,0,1,0,0,3,1,0,1,1,0,176.0,88.0,87.0,89.0,87.0 +20.0,14,13,0.0,69,,67.0,11.0,81008.0,194.691,kevin_magnussen,20.0,Danish,haas,American,2019,12,Hungarian Grand Prix,47400000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,26.0,9.0,0.0,76122.0,77081.0,77081.0,32,27,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,76122.0,77081.0,76761.33333333333,22,5,94,0,0,0,0,0,1,1,1,0,0,0,0,3,1,0,0,2,0,96.0,84.0,79.0,78.0,77.0 +88.0,19,19,0.0,67,,42.0,20.0,83436.0,189.026,kubica,88.0,Polish,williams,British,2019,12,Hungarian Grand Prix,47400000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+3 Laps,0.0,1.0,10.0,0.0,78324.0,78324.0,78324.0,40,35,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,78324.0,78324.0,78324.0,22,13,88,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,2,2,4,91.0,83.0,77.0,75.0,75.0 +26.0,13,15,0.0,68,,55.0,16.0,81932.0,192.496,kvyat,26.0,Russian,toro_rosso,Italian,2019,12,Hungarian Grand Prix,47400000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+2 Laps,0.0,43.0,5.0,0.0,76750.0,76692.0,76692.0,30,25,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,76692.0,76750.0,76711.33333333333,20,5,86,1,0,1,0,0,0,1,0,2,2,0,1,0,1,0,0,1,0,91.0,83.0,77.0,75.0,75.0 +16.0,4,4,12.0,70,5769046.0,49.0,5.0,80493.0,195.937,leclerc,16.0,Monegasque,ferrari,Italian,2019,12,Hungarian Grand Prix,47400000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,288.0,2.0,0.0,76337.0,75792.0,75043.0,27,22,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,75043.0,76337.0,75724.0,21,1,33,5,1,4,0,4,0,0,0,0,0,0,0,0,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +33.0,1,2,19.0,70,5721592.0,69.0,1.0,77103.0,204.552,max_verstappen,33.0,Dutch,red_bull,Austrian,2019,12,Hungarian Grand Prix,47400000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,2.0,244.0,3.0,2.0,75817.0,75573.0,74572.0,27,22,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,74572.0,75817.0,75320.66666666667,18,4,93,4,0,2,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,96.0,84.0,79.0,78.0,77.0 +4.0,7,9,2.0,69,,65.0,13.0,81188.0,194.26,norris,4.0,British,mclaren,British,2019,12,Hungarian Grand Prix,47400000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,82.0,4.0,0.0,76697.0,76060.0,75800.0,25,20,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,75800.0,76697.0,76185.66666666667,20,0,12,0,0,0,0,0,2,0,1,1,0,2,1,0,0,0,0,0,2,58.0,72.0,78.0,73.0,72.0 +11.0,16,11,0.0,69,,47.0,15.0,81734.0,192.962,perez,11.0,Mexican,racing_point,British,2019,12,Hungarian Grand Prix,47400000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,31.0,8.0,0.0,77109.0,77109.0,77109.0,34,29,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,77109.0,77109.0,77109.0,21,8,169,0,0,0,0,0,1,0,1,0,1,1,3,1,0,1,0,1,0,176.0,88.0,87.0,89.0,87.0 +7.0,10,7,6.0,69,,65.0,9.0,80880.0,195.0,raikkonen,7.0,Finnish,alfa,Swiss,2019,12,Hungarian Grand Prix,47400000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,32.0,7.0,0.0,76506.0,76518.0,76041.0,45,40,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,76041.0,76518.0,76355.0,27,13,219,0,0,0,0,0,0,2,2,2,1,0,1,0,1,1,0,1,0,219.0,90.0,82.0,87.0,87.0 +3.0,20,14,0.0,69,,49.0,8.0,80839.0,195.098,ricciardo,3.0,Australian,renault,French,2019,12,Hungarian Grand Prix,47400000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,39.0,6.0,0.0,77257.0,77257.0,77257.0,35,30,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,77257.0,77257.0,77257.0,22,8,162,0,0,0,0,0,1,2,0,1,0,1,2,0,0,0,0,0,1,158.0,89.0,81.0,86.0,84.0 +63.0,15,16,0.0,68,,66.0,17.0,82386.0,191.435,russell,63.0,British,williams,British,2019,12,Hungarian Grand Prix,47400000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+2 Laps,0.0,1.0,10.0,0.0,77031.0,77031.0,77031.0,26,21,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,77031.0,77031.0,77031.0,21,0,12,0,0,0,0,0,0,0,0,0,0,1,0,0,1,3,3,1,1,58.0,72.0,78.0,73.0,72.0 +55.0,8,5,10.0,69,,66.0,10.0,81002.0,194.706,sainz,55.0,Spanish,mclaren,British,2019,12,Hungarian Grand Prix,47400000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,82.0,4.0,0.0,76493.0,76308.0,75852.0,30,25,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,75852.0,76493.0,76217.66666666667,21,4,93,0,0,0,0,1,3,1,2,0,0,1,0,0,1,0,0,0,0,96.0,84.0,79.0,78.0,77.0 +18.0,18,17,0.0,68,,52.0,6.0,80603.0,195.67,stroll,18.0,Canadian,racing_point,British,2019,12,Hungarian Grand Prix,47400000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+2 Laps,0.0,31.0,8.0,0.0,77542.0,77542.0,77542.0,26,21,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,77542.0,77542.0,77542.0,19,2,53,0,0,0,1,0,0,0,0,3,0,0,1,2,2,0,1,0,0,72.0,76.0,76.0,76.0,74.0 +5.0,5,3,15.0,70,5765229.0,65.0,4.0,79786.0,197.673,vettel,5.0,German,ferrari,Italian,2019,12,Hungarian Grand Prix,47400000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,288.0,2.0,0.0,76452.0,75885.0,75071.0,37,32,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,75071.0,76452.0,75802.66666666667,20,12,232,5,3,2,3,2,0,0,0,0,0,0,0,0,0,0,1,0,0,234.0,89.0,86.0,84.0,85.0 +23.0,17,5,10.0,44,5107035.0,41.0,5.0,107507.0,234.537,albon,23.0,Thai,red_bull,Austrian,2019,13,Belgian Grand Prix,47400000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,254.0,3.0,2.0,105528.0,105799.0,105799.0,28,23,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,105528.0,105799.0,105708.66666666669,23,0,13,0,0,0,0,0,1,0,1,1,2,2,1,0,1,2,0,0,0,58.0,72.0,78.0,73.0,72.0 +77.0,4,3,15.0,44,5038295.0,27.0,2.0,106465.0,236.832,bottas,77.0,Finnish,mercedes,German,2019,13,Belgian Grand Prix,47400000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,2.0,471.0,1.0,10.0,105141.0,103980.0,103415.0,35,30,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,103415.0,105141.0,104178.66666666669,24,6,132,9,5,2,1,0,0,0,1,0,0,0,0,0,0,1,0,0,0,133.0,90.0,90.0,81.0,84.0 +10.0,13,9,2.0,44,5134878.0,21.0,17.0,109700.0,229.848,gasly,10.0,French,toro_rosso,Italian,2019,13,Belgian Grand Prix,47400000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,51.0,5.0,0.0,106435.0,106435.0,106435.0,28,23,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,106435.0,106435.0,106435.0,21,2,39,0,0,0,1,1,3,1,2,0,1,1,0,0,1,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +8.0,9,13,0.0,43,,18.0,16.0,109274.0,230.744,grosjean,8.0,French,haas,American,2019,13,Belgian Grand Prix,47400000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,+1 Lap,0.0,26.0,9.0,0.0,105694.0,104797.0,104797.0,38,33,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,104797.0,105694.0,105096.0,23,10,158,0,0,0,0,0,0,1,0,0,2,1,0,0,1,0,1,0,2,158.0,89.0,81.0,86.0,84.0 +44.0,3,2,18.0,44,5026691.0,24.0,3.0,106580.0,236.577,hamilton,44.0,British,mercedes,German,2019,13,Belgian Grand Prix,47400000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,8.0,471.0,1.0,10.0,105260.0,103592.0,103282.0,39,34,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,103282.0,105260.0,104044.66666666669,22,12,242,10,2,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,242.0,89.0,86.0,87.0,87.0 +27.0,12,8,4.0,44,5132349.0,34.0,9.0,108349.0,232.714,hulkenberg,27.0,German,renault,French,2019,13,Belgian Grand Prix,47400000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,43.0,6.0,0.0,105899.0,104549.0,104542.0,37,32,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,104542.0,105899.0,104996.66666666669,23,9,171,0,0,0,0,0,0,2,1,0,1,0,1,3,1,0,1,1,0,176.0,88.0,87.0,89.0,87.0 +20.0,8,12,0.0,43,,33.0,11.0,108677.0,232.012,kevin_magnussen,20.0,Danish,haas,American,2019,13,Belgian Grand Prix,47400000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,+1 Lap,0.0,26.0,9.0,0.0,105839.0,104738.0,105086.0,32,27,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,104738.0,105839.0,105221.0,22,5,95,0,0,0,0,0,1,1,1,0,0,0,0,4,1,0,0,2,0,96.0,84.0,79.0,78.0,77.0 +88.0,20,17,0.0,43,,33.0,15.0,109220.0,230.858,kubica,88.0,Polish,williams,British,2019,13,Belgian Grand Prix,47400000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,+1 Lap,0.0,1.0,10.0,0.0,107548.0,107548.0,107548.0,40,35,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,107548.0,107548.0,107548.0,22,13,89,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,2,2,4,91.0,83.0,77.0,75.0,75.0 +26.0,19,7,6.0,44,5115367.0,26.0,7.0,108143.0,233.157,kvyat,26.0,Russian,toro_rosso,Italian,2019,13,Belgian Grand Prix,47400000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,51.0,5.0,0.0,106518.0,106518.0,106518.0,30,25,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,106518.0,106518.0,106518.0,20,5,87,1,0,1,0,0,0,1,0,2,2,0,1,0,1,1,0,1,0,91.0,83.0,77.0,75.0,75.0 +16.0,1,1,25.0,44,5025710.0,23.0,4.0,106664.0,236.39,leclerc,16.0,Monegasque,ferrari,Italian,2019,13,Belgian Grand Prix,47400000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,326.0,2.0,1.0,103587.0,102938.0,102519.0,27,22,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,102519.0,103587.0,103014.66666666669,21,1,34,5,1,4,1,4,0,0,0,0,0,0,0,0,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +11.0,7,6,8.0,44,5110158.0,29.0,13.0,108781.0,231.79,perez,11.0,Mexican,racing_point,British,2019,13,Belgian Grand Prix,47400000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,40.0,7.0,0.0,105732.0,104707.0,104706.0,34,29,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,104706.0,105732.0,105048.33333333331,21,8,170,0,0,0,0,0,1,0,1,0,1,2,3,1,0,1,0,1,0,176.0,88.0,87.0,89.0,87.0 +7.0,6,16,0.0,43,,37.0,12.0,108753.0,231.85,raikkonen,7.0,Finnish,alfa,Swiss,2019,13,Belgian Grand Prix,47400000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,+1 Lap,0.0,32.0,8.0,0.0,105842.0,104140.0,104557.0,45,40,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,104140.0,105842.0,104846.33333333331,27,13,220,0,0,0,0,0,0,3,2,2,1,0,1,0,1,1,0,1,0,219.0,90.0,82.0,87.0,87.0 +3.0,10,14,0.0,43,,21.0,18.0,110451.0,228.285,ricciardo,3.0,Australian,renault,French,2019,13,Belgian Grand Prix,47400000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,+1 Lap,0.0,43.0,6.0,0.0,105560.0,104103.0,104257.0,35,30,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,104103.0,105560.0,104640.0,22,8,163,0,0,0,0,0,1,2,0,1,0,1,2,0,1,0,0,0,1,158.0,89.0,81.0,86.0,84.0 +63.0,14,15,0.0,43,,34.0,14.0,108860.0,231.622,russell,63.0,British,williams,British,2019,13,Belgian Grand Prix,47400000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,+1 Lap,0.0,1.0,10.0,0.0,107548.0,107548.0,107548.0,26,21,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,107548.0,107548.0,107548.0,21,0,13,0,0,0,0,0,0,0,0,0,0,1,0,0,1,3,4,1,1,58.0,72.0,78.0,73.0,72.0 +18.0,16,10,1.0,44,5135548.0,34.0,10.0,108357.0,232.697,stroll,18.0,Canadian,racing_point,British,2019,13,Belgian Grand Prix,47400000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,40.0,7.0,0.0,106000.0,105047.0,105047.0,26,21,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,105047.0,106000.0,105364.66666666669,19,2,54,0,0,0,1,0,0,0,0,3,0,0,1,2,2,0,1,1,0,72.0,76.0,76.0,76.0,74.0 +5.0,2,4,13.0,44,5052132.0,36.0,1.0,106409.0,236.957,vettel,5.0,German,ferrari,Italian,2019,13,Belgian Grand Prix,47400000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,326.0,2.0,1.0,104109.0,103037.0,103267.0,37,32,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,103037.0,104109.0,103471.0,20,12,233,6,3,3,3,2,0,0,0,0,0,0,0,0,0,0,1,0,0,234.0,89.0,86.0,84.0,85.0 +23.0,8,6,8.0,53,4585980.0,45.0,6.0,83364.0,250.165,albon,23.0,Thai,red_bull,Austrian,2019,14,Italian Grand Prix,47400000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,266.0,3.0,2.0,80382.0,80021.0,80021.0,28,23,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.793,51.0,295.134,80021.0,80382.0,80141.33333333333,23,0,14,0,0,0,0,1,1,0,1,1,2,2,1,0,1,2,0,0,0,58.0,72.0,78.0,73.0,72.0 +77.0,3,2,18.0,53,4527500.0,47.0,3.0,82859.0,251.69,bottas,77.0,Finnish,mercedes,German,2019,14,Italian Grand Prix,47400000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,2.0,505.0,1.0,10.0,80156.0,80018.0,79354.0,35,30,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.793,51.0,295.134,79354.0,80156.0,79842.66666666667,24,6,133,10,5,3,1,0,0,0,1,0,0,0,0,0,0,1,0,0,0,134.0,87.0,90.0,80.0,83.0 +10.0,17,11,0.0,52,,51.0,10.0,83885.0,248.611,gasly,10.0,French,toro_rosso,Italian,2019,14,Italian Grand Prix,47400000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,51.0,6.0,0.0,80508.0,81125.0,81125.0,28,23,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.793,51.0,295.134,80508.0,81125.0,80919.33333333333,21,2,40,0,0,0,1,1,3,1,2,1,1,1,0,0,1,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +99.0,10,9,2.0,52,,44.0,15.0,84503.0,246.793,giovinazzi,99.0,Italian,alfa,Swiss,2019,14,Italian Grand Prix,47400000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,34.0,8.0,0.0,80657.0,80517.0,80517.0,31,26,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.793,51.0,295.134,80517.0,80657.0,80563.66666666667,24,2,16,0,0,0,0,0,0,0,0,0,1,1,1,2,0,2,2,0,3,58.0,72.0,78.0,73.0,72.0 +8.0,13,16,0.0,52,,31.0,17.0,84985.0,245.393,grosjean,8.0,French,haas,American,2019,14,Italian Grand Prix,47400000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,26.0,9.0,0.0,80784.0,80784.0,80784.0,38,33,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.793,51.0,295.134,80784.0,80784.0,80784.0,23,10,159,0,0,0,0,0,0,1,0,0,2,1,0,1,1,0,1,0,2,158.0,89.0,81.0,86.0,84.0 +44.0,2,3,16.0,53,4561864.0,51.0,1.0,81779.0,255.014,hamilton,44.0,British,mercedes,German,2019,14,Italian Grand Prix,47400000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,8.0,505.0,1.0,10.0,80272.0,79464.0,79346.0,39,34,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.793,51.0,295.134,79346.0,80272.0,79694.0,22,12,243,11,3,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,244.0,89.0,86.0,87.0,87.0 +27.0,6,5,10.0,53,4584830.0,53.0,8.0,83641.0,249.337,hulkenberg,27.0,German,renault,French,2019,14,Italian Grand Prix,47400000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,65.0,5.0,0.0,80155.0,80275.0,80049.0,37,32,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.793,51.0,295.134,80049.0,80275.0,80159.66666666667,23,9,172,0,0,0,0,0,0,2,2,0,1,0,1,3,1,0,1,1,0,176.0,88.0,87.0,89.0,87.0 +88.0,15,17,0.0,51,,47.0,18.0,84989.0,245.382,kubica,88.0,Polish,williams,British,2019,14,Italian Grand Prix,47400000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+2 Laps,0.0,1.0,10.0,0.0,82356.0,82356.0,82356.0,40,35,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.793,51.0,295.134,82356.0,82356.0,82356.0,22,13,90,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,2,3,4,91.0,83.0,77.0,75.0,75.0 +16.0,1,1,25.0,53,4526665.0,47.0,4.0,83009.0,251.235,leclerc,16.0,Monegasque,ferrari,Italian,2019,14,Italian Grand Prix,47400000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,1.0,351.0,2.0,2.0,80126.0,79553.0,79307.0,27,22,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.793,51.0,295.134,79307.0,80126.0,79662.0,21,1,35,6,1,4,1,4,0,0,0,0,0,0,0,0,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +33.0,19,8,4.0,53,4601157.0,41.0,5.0,83143.0,250.83,max_verstappen,33.0,Dutch,red_bull,Austrian,2019,14,Italian Grand Prix,47400000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,2.0,266.0,3.0,2.0,82356.0,82356.0,82356.0,27,22,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.793,51.0,295.134,82356.0,82356.0,82356.0,18,4,95,5,1,2,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,96.0,84.0,79.0,78.0,77.0 +4.0,16,10,1.0,52,,52.0,11.0,84044.0,248.141,norris,4.0,British,mclaren,British,2019,14,Italian Grand Prix,47400000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,83.0,4.0,0.0,80646.0,81068.0,81068.0,25,20,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.793,51.0,295.134,80646.0,81068.0,80927.33333333333,20,0,14,0,0,0,0,0,2,0,1,2,0,3,1,0,0,0,0,0,2,58.0,72.0,78.0,73.0,72.0 +11.0,18,7,6.0,53,4600467.0,35.0,9.0,83770.0,248.953,perez,11.0,Mexican,racing_point,British,2019,14,Italian Grand Prix,47400000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,46.0,7.0,0.0,81291.0,81291.0,81291.0,34,29,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.793,51.0,295.134,81291.0,81291.0,81291.0,21,8,171,0,0,0,0,0,2,0,1,0,1,2,3,1,0,1,0,1,0,176.0,88.0,87.0,89.0,87.0 +7.0,20,15,0.0,52,,52.0,13.0,84419.0,247.039,raikkonen,7.0,Finnish,alfa,Swiss,2019,14,Italian Grand Prix,47400000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,34.0,8.0,0.0,80634.0,80515.0,80515.0,45,40,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.793,51.0,295.134,80515.0,80634.0,80554.66666666667,27,13,221,0,0,0,0,0,0,3,2,2,1,0,1,0,1,1,1,1,0,219.0,90.0,82.0,87.0,87.0 +3.0,5,4,12.0,53,4572180.0,53.0,7.0,83466.0,249.859,ricciardo,3.0,Australian,renault,French,2019,14,Italian Grand Prix,47400000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,65.0,5.0,0.0,80374.0,79833.0,79839.0,35,30,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.793,51.0,295.134,79833.0,80374.0,80015.33333333333,22,8,164,0,0,0,0,0,1,2,0,1,0,1,2,0,2,0,0,0,1,162.0,86.0,81.0,84.0,83.0 +63.0,14,14,0.0,52,,51.0,16.0,84842.0,245.807,russell,63.0,British,williams,British,2019,14,Italian Grand Prix,47400000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,1.0,10.0,0.0,81800.0,81800.0,81800.0,26,21,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.793,51.0,295.134,81800.0,81800.0,81800.0,21,0,14,0,0,0,0,0,0,0,0,0,0,1,0,0,1,4,4,1,1,58.0,72.0,78.0,73.0,72.0 +18.0,9,12,0.0,52,,31.0,12.0,84165.0,247.784,stroll,18.0,Canadian,racing_point,British,2019,14,Italian Grand Prix,47400000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,46.0,7.0,0.0,80643.0,80498.0,80498.0,26,21,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.793,51.0,295.134,80498.0,80643.0,80546.33333333333,19,2,55,0,0,0,1,0,0,0,0,3,1,0,1,2,2,0,1,1,0,72.0,76.0,76.0,76.0,74.0 +5.0,4,13,0.0,52,,50.0,2.0,82799.0,251.872,vettel,5.0,German,ferrari,Italian,2019,14,Italian Grand Prix,47400000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,351.0,2.0,2.0,80378.0,79715.0,79457.0,37,32,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.793,51.0,295.134,79457.0,80378.0,79850.0,20,12,234,6,3,3,4,2,0,0,0,0,0,0,0,0,0,0,1,0,0,234.0,89.0,86.0,84.0,85.0 +23.0,6,6,8.0,61,7125330.0,59.0,9.0,105260.0,173.159,albon,23.0,Thai,red_bull,Austrian,2019,15,Singapore Grand Prix,43800000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,289.0,3.0,2.0,99106.0,97865.0,97411.0,28,23,Slightly hazy,0,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,97411.0,99106.0,98127.33333333331,23,0,15,0,0,0,0,1,2,0,1,1,2,2,1,0,1,2,0,0,0,58.0,72.0,78.0,73.0,72.0 +77.0,5,5,10.0,61,7119786.0,58.0,2.0,103534.0,176.046,bottas,77.0,Finnish,mercedes,German,2019,15,Singapore Grand Prix,43800000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,2.0,527.0,1.0,10.0,97317.0,97142.0,97146.0,35,30,Slightly hazy,0,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,97142.0,97317.0,97201.66666666669,24,6,134,11,6,3,1,0,0,0,1,0,0,0,0,0,0,1,0,0,0,134.0,87.0,90.0,80.0,83.0 +10.0,11,8,4.0,61,7129214.0,58.0,13.0,105769.0,172.326,gasly,10.0,French,toro_rosso,Italian,2019,15,Singapore Grand Prix,43800000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,55.0,6.0,0.0,99085.0,98699.0,98699.0,28,23,Slightly hazy,0,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,98699.0,99085.0,98827.66666666669,21,2,41,0,0,0,1,1,3,1,2,1,1,2,0,0,1,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +99.0,10,10,1.0,61,7141522.0,59.0,10.0,105630.0,172.553,giovinazzi,99.0,Italian,alfa,Swiss,2019,15,Singapore Grand Prix,43800000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,35.0,8.0,0.0,99272.0,98697.0,98697.0,31,26,Slightly hazy,0,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,98697.0,99272.0,98888.66666666669,24,2,17,0,0,0,0,0,0,0,0,1,1,1,1,2,0,2,2,0,3,58.0,72.0,78.0,73.0,72.0 +8.0,17,11,0.0,61,7149103.0,54.0,16.0,106274.0,171.507,grosjean,8.0,French,haas,American,2019,15,Singapore Grand Prix,43800000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,26.0,9.0,0.0,100277.0,100277.0,100277.0,38,33,Slightly hazy,0,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,100277.0,100277.0,100277.0,23,10,160,0,0,0,0,0,0,1,0,0,2,1,0,1,1,0,2,0,2,158.0,89.0,81.0,86.0,84.0 +44.0,2,4,12.0,61,7118275.0,58.0,7.0,104914.0,173.73,hamilton,44.0,British,mercedes,German,2019,15,Singapore Grand Prix,43800000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,8.0,527.0,1.0,10.0,97565.0,96933.0,96408.0,39,34,Slightly hazy,0,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,96408.0,97565.0,96968.66666666669,22,12,244,12,3,1,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,244.0,89.0,86.0,87.0,87.0 +27.0,8,9,2.0,61,7130385.0,59.0,12.0,105765.0,172.333,hulkenberg,27.0,German,renault,French,2019,15,Singapore Grand Prix,43800000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,67.0,5.0,0.0,99001.0,98580.0,98264.0,37,32,Slightly hazy,0,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,98264.0,99001.0,98615.0,23,9,173,0,0,0,0,1,0,2,2,0,1,0,1,3,1,0,1,1,0,176.0,88.0,87.0,89.0,87.0 +20.0,13,17,0.0,61,7200189.0,58.0,1.0,102301.0,178.168,kevin_magnussen,20.0,Danish,haas,American,2019,15,Singapore Grand Prix,43800000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,26.0,9.0,0.0,99942.0,99650.0,99650.0,32,27,Slightly hazy,0,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,99650.0,99942.0,99747.33333333331,22,5,97,0,0,0,0,0,1,1,1,0,0,0,1,4,1,0,0,2,1,100.0,83.0,81.0,81.0,78.0 +88.0,19,16,0.0,61,7160691.0,59.0,18.0,106793.0,170.674,kubica,88.0,Polish,williams,British,2019,15,Singapore Grand Prix,43800000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,1.0,10.0,0.0,101186.0,101186.0,101186.0,40,35,Slightly hazy,0,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,101186.0,101186.0,101186.0,22,13,91,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,2,4,4,96.0,84.0,79.0,78.0,77.0 +26.0,14,15,0.0,61,7151845.0,57.0,3.0,104371.0,174.634,kvyat,26.0,Russian,toro_rosso,Italian,2019,15,Singapore Grand Prix,43800000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,55.0,6.0,0.0,99957.0,99957.0,99957.0,30,25,Slightly hazy,0,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,99957.0,99957.0,99957.0,20,5,89,1,0,1,0,0,0,2,0,2,2,0,1,0,1,1,0,1,0,91.0,83.0,77.0,75.0,75.0 +16.0,1,2,18.0,61,7116308.0,59.0,4.0,104723.0,174.047,leclerc,16.0,Monegasque,ferrari,Italian,2019,15,Singapore Grand Prix,43800000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,2.0,394.0,2.0,3.0,98014.0,96650.0,96217.0,27,22,Slightly hazy,0,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,96217.0,98014.0,96960.33333333331,21,1,36,7,1,4,1,4,0,0,0,0,0,0,0,0,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +33.0,4,3,15.0,61,7117488.0,56.0,8.0,105176.0,173.298,max_verstappen,33.0,Dutch,red_bull,Austrian,2019,15,Singapore Grand Prix,43800000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,2.0,289.0,3.0,2.0,98540.0,97089.0,96813.0,27,22,Slightly hazy,0,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,96813.0,98540.0,97480.66666666669,18,4,96,5,1,2,5,2,0,0,1,0,0,0,0,0,0,0,0,0,0,96.0,84.0,79.0,78.0,77.0 +4.0,9,7,6.0,61,7128436.0,58.0,11.0,105716.0,172.412,norris,4.0,British,mclaren,British,2019,15,Singapore Grand Prix,43800000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,89.0,4.0,0.0,98606.0,97572.0,98329.0,25,20,Slightly hazy,0,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,97572.0,98606.0,98169.0,20,0,15,0,0,0,0,0,2,0,1,2,1,3,1,0,0,0,0,0,2,58.0,72.0,78.0,73.0,72.0 +3.0,20,14,0.0,61,7151327.0,55.0,14.0,105915.0,172.088,ricciardo,3.0,Australian,renault,French,2019,15,Singapore Grand Prix,43800000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,67.0,5.0,0.0,101186.0,101186.0,101186.0,35,30,Slightly hazy,0,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,101186.0,101186.0,101186.0,22,8,165,0,0,0,1,0,1,2,0,1,0,1,2,0,2,0,0,0,1,162.0,86.0,81.0,84.0,83.0 +55.0,7,12,0.0,61,7149641.0,41.0,15.0,105969.0,172.001,sainz,55.0,Spanish,mclaren,British,2019,15,Singapore Grand Prix,43800000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,89.0,4.0,0.0,98882.0,97982.0,97818.0,30,25,Slightly hazy,0,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,97818.0,98882.0,98227.33333333331,21,4,96,0,0,0,0,2,3,1,2,0,0,1,0,0,1,0,0,0,0,96.0,84.0,79.0,78.0,77.0 +18.0,16,13,0.0,61,7150086.0,57.0,6.0,104896.0,173.76,stroll,18.0,Canadian,racing_point,British,2019,15,Singapore Grand Prix,43800000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,46.0,7.0,0.0,99979.0,99979.0,99979.0,26,21,Slightly hazy,0,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,99979.0,99979.0,99979.0,19,2,56,0,0,0,1,0,0,0,0,3,1,0,2,2,2,0,1,1,0,72.0,76.0,76.0,76.0,74.0 +5.0,3,1,25.0,61,7113667.0,57.0,5.0,104802.0,173.916,vettel,5.0,German,ferrari,Italian,2019,15,Singapore Grand Prix,43800000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,394.0,2.0,3.0,98374.0,96720.0,96437.0,37,32,Slightly hazy,0,0,0,0,0,Street circuit,Anti-clockwise,4.94,62.0,306.143,96437.0,98374.0,97177.0,20,12,235,6,3,3,4,2,0,0,0,0,0,0,0,1,0,0,1,0,0,234.0,89.0,86.0,84.0,85.0 +23.0,20,5,10.0,53,5657340.0,50.0,4.0,96762.0,217.573,albon,23.0,Thai,red_bull,Austrian,2019,16,Russian Grand Prix,40200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,0.0,311.0,3.0,2.0,99197.0,99197.0,99197.0,28,23,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.848,53.0,309.745,99197.0,99197.0,99197.0,23,0,16,0,0,0,0,1,3,0,1,1,2,2,1,0,1,2,0,0,0,58.0,72.0,78.0,73.0,72.0 +77.0,4,2,18.0,53,5622821.0,50.0,3.0,96316.0,218.58,bottas,77.0,Finnish,mercedes,German,2019,16,Russian Grand Prix,40200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,2.0,571.0,1.0,11.0,93413.0,93281.0,92632.0,35,30,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.848,53.0,309.745,92632.0,93413.0,93108.66666666669,24,6,135,11,6,3,1,1,0,0,1,0,0,0,0,0,0,1,0,0,0,134.0,87.0,90.0,80.0,83.0 +10.0,16,14,0.0,53,5689068.0,51.0,14.0,98606.0,213.504,gasly,10.0,French,toro_rosso,Italian,2019,16,Russian Grand Prix,40200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,0.0,55.0,6.0,0.0,94456.0,93950.0,93950.0,28,23,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.848,53.0,309.745,93950.0,94456.0,94118.66666666669,21,2,42,0,0,0,1,1,3,1,3,1,1,2,0,0,1,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +99.0,12,15,0.0,53,5692338.0,51.0,16.0,98696.0,213.309,giovinazzi,99.0,Italian,alfa,Swiss,2019,16,Russian Grand Prix,40200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,0.0,35.0,8.0,0.0,94755.0,94037.0,94037.0,31,26,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.848,53.0,309.745,94037.0,94755.0,94276.33333333331,24,2,18,0,0,0,0,0,0,0,0,1,2,1,1,2,0,2,2,0,3,58.0,72.0,78.0,73.0,72.0 +44.0,2,1,26.0,53,5618992.0,51.0,1.0,95761.0,219.847,hamilton,44.0,British,mercedes,German,2019,16,Russian Grand Prix,40200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,8.0,571.0,1.0,11.0,93230.0,93134.0,92030.0,39,34,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.848,53.0,309.745,92030.0,93230.0,92798.0,22,12,245,12,3,1,1,1,0,0,0,1,0,0,0,0,0,0,0,0,0,244.0,89.0,86.0,87.0,87.0 +27.0,6,10,1.0,53,5678833.0,53.0,12.0,98519.0,213.692,hulkenberg,27.0,German,renault,French,2019,16,Russian Grand Prix,40200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,0.0,68.0,5.0,0.0,94236.0,93898.0,93289.0,37,32,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.848,53.0,309.745,93289.0,94236.0,93807.66666666669,23,9,174,0,0,0,0,1,0,2,2,1,1,0,1,3,1,0,1,1,0,176.0,88.0,87.0,89.0,87.0 +20.0,13,9,2.0,53,5677771.0,53.0,8.0,98130.0,214.539,kevin_magnussen,20.0,Danish,haas,American,2019,16,Russian Grand Prix,40200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,0.0,28.0,9.0,0.0,93889.0,94082.0,94082.0,32,27,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.848,53.0,309.745,93889.0,94082.0,94017.66666666669,22,5,98,0,0,0,0,0,1,1,1,0,0,0,1,4,1,0,0,3,1,100.0,83.0,81.0,81.0,78.0 +26.0,19,12,0.0,53,5681488.0,52.0,9.0,98228.0,214.325,kvyat,26.0,Russian,toro_rosso,Italian,2019,16,Russian Grand Prix,40200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,0.0,55.0,6.0,0.0,99544.0,99544.0,99544.0,30,25,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.848,53.0,309.745,99544.0,99544.0,99544.0,20,5,90,1,0,1,0,0,0,2,0,2,2,0,1,0,1,2,0,1,0,91.0,83.0,77.0,75.0,75.0 +16.0,1,3,15.0,53,5624204.0,52.0,2.0,96193.0,218.86,leclerc,16.0,Monegasque,ferrari,Italian,2019,16,Russian Grand Prix,40200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,2.0,409.0,2.0,3.0,93613.0,92434.0,91628.0,27,22,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.848,53.0,309.745,91628.0,93613.0,92558.33333333331,21,1,37,8,2,4,1,4,0,0,0,0,0,0,0,0,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +33.0,9,4,12.0,53,5633202.0,47.0,5.0,96937.0,217.18,max_verstappen,33.0,Dutch,red_bull,Austrian,2019,16,Russian Grand Prix,40200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,2.0,311.0,3.0,2.0,93368.0,92634.0,92310.0,27,22,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.848,53.0,309.745,92310.0,93368.0,92770.66666666669,18,4,97,6,1,3,5,2,0,0,1,0,0,0,0,0,0,0,0,0,0,100.0,83.0,81.0,81.0,78.0 +4.0,7,8,4.0,53,5676741.0,52.0,11.0,98301.0,214.166,norris,4.0,British,mclaren,British,2019,16,Russian Grand Prix,40200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,0.0,101.0,4.0,0.0,94201.0,93725.0,93301.0,25,20,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.848,53.0,309.745,93301.0,94201.0,93742.33333333331,20,0,16,0,0,0,0,0,2,1,1,2,1,3,1,0,0,0,0,0,2,58.0,72.0,78.0,73.0,72.0 +11.0,11,7,6.0,53,5667720.0,49.0,7.0,98043.0,214.73,perez,11.0,Mexican,racing_point,British,2019,16,Russian Grand Prix,40200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,0.0,52.0,7.0,0.0,94336.0,93958.0,93958.0,34,29,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.848,53.0,309.745,93958.0,94336.0,94084.0,21,8,173,0,0,0,0,0,2,1,1,0,1,2,3,1,0,1,0,1,0,176.0,88.0,87.0,89.0,87.0 +7.0,15,13,0.0,53,5687902.0,51.0,13.0,98589.0,213.541,raikkonen,7.0,Finnish,alfa,Swiss,2019,16,Russian Grand Prix,40200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,0.0,35.0,8.0,0.0,94840.0,94840.0,94840.0,45,40,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.848,53.0,309.745,94840.0,94840.0,94840.0,27,13,223,0,0,0,0,0,0,3,2,2,1,0,1,0,1,2,1,1,1,220.0,91.0,79.0,86.0,86.0 +55.0,5,6,8.0,53,5664881.0,53.0,6.0,98020.0,214.78,sainz,55.0,Spanish,mclaren,British,2019,16,Russian Grand Prix,40200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,0.0,101.0,4.0,0.0,94184.0,93807.0,93222.0,30,25,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.848,53.0,309.745,93222.0,94184.0,93737.66666666669,21,4,97,0,0,0,0,2,3,1,2,0,0,1,1,0,1,0,0,0,0,100.0,83.0,81.0,81.0,78.0 +18.0,14,11,0.0,53,5679813.0,53.0,15.0,98611.0,213.493,stroll,18.0,Canadian,racing_point,British,2019,16,Russian Grand Prix,40200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,0.0,52.0,7.0,0.0,94287.0,94233.0,94233.0,26,21,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.848,53.0,309.745,94233.0,94287.0,94251.0,19,2,57,0,0,0,1,0,0,0,0,3,1,0,2,3,2,0,1,1,0,72.0,76.0,76.0,76.0,74.0 +23.0,6,4,12.0,52,4966292.0,36.0,8.0,92775.0,225.332,albon,23.0,Thai,red_bull,Austrian,2019,17,Japanese Grand Prix,18600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,323.0,3.0,2.0,89351.0,88156.0,87851.0,28,23,Sunny,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,87851.0,89351.0,88452.66666666667,23,0,17,0,0,0,0,2,3,0,1,1,2,2,1,0,1,2,0,0,0,58.0,72.0,78.0,73.0,72.0 +77.0,3,1,25.0,52,4906755.0,49.0,4.0,91862.0,227.571,bottas,77.0,Finnish,mercedes,German,2019,17,Japanese Grand Prix,18600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,2.0,612.0,1.0,12.0,88896.0,87688.0,87293.0,35,30,Sunny,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,87293.0,88896.0,87959.0,24,6,136,12,7,3,1,1,0,0,1,0,0,0,0,0,0,1,0,0,0,134.0,87.0,90.0,80.0,83.0 +10.0,9,7,6.0,51,,43.0,17.0,95321.0,219.313,gasly,10.0,French,toro_rosso,Italian,2019,17,Japanese Grand Prix,18600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+1 Lap,0.0,62.0,6.0,0.0,89411.0,88779.0,88836.0,28,23,Sunny,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,88779.0,89411.0,89008.66666666667,21,2,43,0,0,0,1,1,3,1,3,1,1,2,0,0,2,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +99.0,11,14,0.0,51,,51.0,6.0,92369.0,226.322,giovinazzi,99.0,Italian,alfa,Swiss,2019,17,Japanese Grand Prix,18600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+1 Lap,0.0,35.0,8.0,0.0,89604.0,89254.0,89254.0,31,26,Sunny,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,89254.0,89604.0,89370.66666666667,24,2,19,0,0,0,0,0,0,0,0,1,2,1,1,2,0,3,2,0,3,58.0,72.0,78.0,73.0,72.0 +8.0,10,13,0.0,51,,18.0,16.0,94988.0,220.082,grosjean,8.0,French,haas,American,2019,17,Japanese Grand Prix,18600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+1 Lap,0.0,28.0,9.0,0.0,89572.0,89144.0,89341.0,38,33,Sunny,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,89144.0,89572.0,89352.33333333333,23,10,162,0,0,0,0,0,0,1,0,0,2,2,0,1,1,0,2,0,2,158.0,89.0,81.0,86.0,84.0 +44.0,4,3,16.0,52,4920613.0,45.0,1.0,90983.0,229.77,hamilton,44.0,British,mercedes,German,2019,17,Japanese Grand Prix,18600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,9.0,612.0,1.0,12.0,88735.0,87826.0,87302.0,39,34,Sunny,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,87302.0,88735.0,87954.33333333333,22,12,246,13,3,1,1,1,0,0,0,1,0,0,0,0,0,0,0,0,0,244.0,89.0,86.0,87.0,87.0 +20.0,19,15,0.0,51,,49.0,3.0,91732.0,227.894,kevin_magnussen,20.0,Danish,haas,American,2019,17,Japanese Grand Prix,18600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+1 Lap,0.0,28.0,9.0,0.0,90364.0,90364.0,90364.0,32,27,Sunny,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,90364.0,90364.0,90364.0,22,5,99,0,0,0,0,0,1,1,1,1,0,0,1,4,1,0,0,3,1,100.0,83.0,81.0,81.0,78.0 +88.0,20,17,0.0,50,,44.0,19.0,96332.0,217.012,kubica,88.0,Polish,williams,British,2019,17,Japanese Grand Prix,18600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+2 Laps,0.0,1.0,10.0,0.0,90364.0,90364.0,90364.0,40,35,Sunny,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,90364.0,90364.0,90364.0,22,13,93,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,4,4,4,96.0,84.0,79.0,78.0,77.0 +26.0,14,10,1.0,51,,47.0,10.0,93239.0,224.21,kvyat,26.0,Russian,toro_rosso,Italian,2019,17,Japanese Grand Prix,18600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+1 Lap,0.0,62.0,6.0,0.0,89723.0,89563.0,89563.0,30,25,Sunny,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,89563.0,89723.0,89616.33333333333,20,5,91,1,0,1,0,0,0,2,0,2,2,0,2,0,1,2,0,1,0,96.0,84.0,79.0,78.0,77.0 +16.0,2,6,8.0,51,,48.0,2.0,91611.0,228.195,leclerc,16.0,Monegasque,ferrari,Italian,2019,17,Japanese Grand Prix,18600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+1 Lap,2.0,435.0,2.0,3.0,88405.0,88179.0,87253.0,27,22,Sunny,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,87253.0,88405.0,87945.66666666667,21,1,38,9,2,5,1,4,0,0,0,0,0,0,0,0,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +4.0,8,11,0.0,51,,31.0,13.0,94116.0,222.121,norris,4.0,British,mclaren,British,2019,17,Japanese Grand Prix,18600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+1 Lap,0.0,111.0,4.0,0.0,88873.0,88571.0,88464.0,25,20,Sunny,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,88464.0,88873.0,88636.0,20,0,17,0,0,0,0,0,2,1,2,2,1,3,1,0,0,0,0,0,2,58.0,72.0,78.0,73.0,72.0 +11.0,17,8,4.0,51,,46.0,7.0,92621.0,225.706,perez,11.0,Mexican,racing_point,British,2019,17,Japanese Grand Prix,18600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+1 Lap,0.0,58.0,7.0,0.0,90344.0,90344.0,90344.0,34,29,Sunny,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,90344.0,90344.0,90344.0,21,8,174,0,0,0,0,0,2,2,1,0,1,2,3,1,0,1,0,1,0,176.0,88.0,87.0,89.0,87.0 +7.0,13,12,0.0,51,,50.0,9.0,93190.0,224.328,raikkonen,7.0,Finnish,alfa,Swiss,2019,17,Japanese Grand Prix,18600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+1 Lap,0.0,35.0,8.0,0.0,89636.0,89358.0,89358.0,45,40,Sunny,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,89358.0,89636.0,89450.66666666667,27,13,224,0,0,0,0,0,0,3,2,2,1,0,1,1,1,2,1,1,1,220.0,91.0,79.0,86.0,86.0 +63.0,18,16,0.0,50,,27.0,18.0,95458.0,218.998,russell,63.0,British,williams,British,2019,17,Japanese Grand Prix,18600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+2 Laps,0.0,1.0,10.0,0.0,90364.0,90364.0,90364.0,26,21,Sunny,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,90364.0,90364.0,90364.0,21,0,17,0,0,0,0,0,0,0,0,0,0,1,0,0,2,4,4,2,1,58.0,72.0,78.0,73.0,72.0 +55.0,7,5,10.0,52,4975856.0,46.0,12.0,93563.0,223.434,sainz,55.0,Spanish,mclaren,British,2019,17,Japanese Grand Prix,18600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,111.0,4.0,0.0,89018.0,88577.0,88304.0,30,25,Sunny,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,88304.0,89018.0,88633.0,21,4,98,0,0,0,0,2,4,1,2,0,0,1,1,0,1,0,0,0,0,100.0,83.0,81.0,81.0,78.0 +18.0,12,9,2.0,51,,26.0,14.0,94713.0,220.721,stroll,18.0,Canadian,racing_point,British,2019,17,Japanese Grand Prix,18600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,+1 Lap,0.0,58.0,7.0,0.0,89594.0,89345.0,89345.0,26,21,Sunny,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,89345.0,89594.0,89428.0,19,2,58,0,0,0,1,0,0,0,0,3,1,1,2,3,2,0,1,1,0,72.0,76.0,76.0,76.0,74.0 +5.0,1,2,18.0,52,4920098.0,38.0,5.0,92122.0,226.929,vettel,5.0,German,ferrari,Italian,2019,17,Japanese Grand Prix,18600000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,1.0,435.0,2.0,3.0,88988.0,88174.0,87064.0,37,32,Sunny,1,0,0,0,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,87064.0,88988.0,88075.33333333333,20,12,237,7,3,3,4,2,0,0,0,0,0,0,0,1,0,0,1,0,1,238.0,88.0,88.0,85.0,86.0 +23.0,5,5,10.0,71,5830303.0,48.0,2.0,79325.0,195.328,albon,23.0,Thai,red_bull,Austrian,2019,18,Mexican Grand Prix,69000000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,Finished,0.0,341.0,3.0,2.0,76175.0,76574.0,75336.0,28,23,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.304,71.0,305.354,75336.0,76574.0,76028.33333333333,23,0,18,0,0,0,1,2,3,0,1,1,2,2,1,0,1,2,0,0,0,58.0,72.0,78.0,73.0,72.0 +77.0,6,3,15.0,71,5812457.0,66.0,5.0,79494.0,194.912,bottas,77.0,Finnish,mercedes,German,2019,18,Mexican Grand Prix,69000000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,Finished,3.0,652.0,1.0,13.0,77062.0,75852.0,75338.0,35,30,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.304,71.0,305.354,75338.0,77062.0,76084.0,24,6,137,13,7,3,1,1,0,0,1,0,0,0,0,0,0,1,0,0,0,134.0,87.0,90.0,80.0,83.0 +10.0,10,9,2.0,70,,53.0,6.0,79530.0,194.824,gasly,10.0,French,toro_rosso,Italian,2019,18,Mexican Grand Prix,69000000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,+1 Lap,0.0,64.0,6.0,0.0,77065.0,76679.0,76586.0,28,23,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.304,71.0,305.354,76586.0,77065.0,76776.66666666667,21,2,44,0,0,0,1,1,3,2,3,1,1,2,0,0,2,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +99.0,15,14,0.0,70,,65.0,16.0,81014.0,191.255,giovinazzi,99.0,Italian,alfa,Swiss,2019,18,Mexican Grand Prix,69000000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,+1 Lap,0.0,35.0,8.0,0.0,77794.0,77269.0,77269.0,31,26,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.304,71.0,305.354,77269.0,77794.0,77444.0,24,2,20,0,0,0,0,0,0,0,0,1,2,1,1,2,1,3,2,0,3,58.0,72.0,78.0,73.0,72.0 +8.0,18,17,0.0,69,,68.0,18.0,81581.0,189.926,grosjean,8.0,French,haas,American,2019,18,Mexican Grand Prix,69000000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,+2 Laps,0.0,28.0,9.0,0.0,78599.0,78599.0,78599.0,38,33,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.304,71.0,305.354,78599.0,78599.0,78599.0,23,10,163,0,0,0,0,0,0,1,0,0,2,2,0,2,1,0,2,0,2,158.0,89.0,81.0,86.0,84.0 +44.0,3,1,25.0,71,5808904.0,66.0,4.0,79461.0,194.993,hamilton,44.0,British,mercedes,German,2019,18,Mexican Grand Prix,69000000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,Finished,9.0,652.0,1.0,13.0,76424.0,75721.0,75262.0,39,34,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.304,71.0,305.354,75262.0,76424.0,75802.33333333333,22,12,247,14,3,2,1,1,0,0,0,1,0,0,0,0,0,0,0,0,0,244.0,89.0,86.0,87.0,87.0 +27.0,12,10,1.0,70,,59.0,14.0,80791.0,191.783,hulkenberg,27.0,German,renault,French,2019,18,Mexican Grand Prix,69000000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,+1 Lap,0.0,73.0,5.0,0.0,77608.0,76885.0,76885.0,37,32,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.304,71.0,305.354,76885.0,77608.0,77126.0,23,9,176,0,0,0,0,1,0,2,2,1,2,0,1,3,1,0,1,1,0,176.0,88.0,87.0,89.0,87.0 +20.0,17,15,0.0,69,,53.0,20.0,81682.0,189.691,kevin_magnussen,20.0,Danish,haas,American,2019,18,Mexican Grand Prix,69000000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,+2 Laps,0.0,28.0,9.0,0.0,78436.0,78436.0,78436.0,32,27,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.304,71.0,305.354,78436.0,78436.0,78436.0,22,5,100,0,0,0,0,0,1,1,1,1,0,0,1,4,1,1,0,3,1,100.0,83.0,81.0,81.0,78.0 +88.0,20,18,0.0,69,,63.0,13.0,80696.0,192.009,kubica,88.0,Polish,williams,British,2019,18,Mexican Grand Prix,69000000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,+2 Laps,0.0,1.0,10.0,0.0,80179.0,80179.0,80179.0,40,35,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.304,71.0,305.354,80179.0,80179.0,80179.0,22,13,94,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,4,5,4,96.0,84.0,79.0,78.0,77.0 +26.0,9,11,0.0,70,,48.0,7.0,79905.0,193.91,kvyat,26.0,Russian,toro_rosso,Italian,2019,18,Mexican Grand Prix,69000000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,+1 Lap,0.0,64.0,6.0,0.0,77041.0,76657.0,76469.0,30,25,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.304,71.0,305.354,76469.0,77041.0,76722.33333333333,20,5,92,1,0,1,0,0,0,2,0,2,3,0,2,0,1,2,0,1,0,96.0,84.0,79.0,78.0,77.0 +16.0,1,4,13.0,71,5815272.0,53.0,1.0,79232.0,195.557,leclerc,16.0,Monegasque,ferrari,Italian,2019,18,Mexican Grand Prix,69000000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,Finished,2.0,466.0,2.0,3.0,76364.0,76219.0,75024.0,27,22,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.304,71.0,305.354,75024.0,76364.0,75869.0,21,1,39,9,2,5,1,4,1,0,0,0,0,0,0,0,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +33.0,4,6,8.0,71,5877711.0,65.0,11.0,80406.0,192.702,max_verstappen,33.0,Dutch,red_bull,Austrian,2019,18,Mexican Grand Prix,69000000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,Finished,2.0,341.0,3.0,2.0,75949.0,76136.0,74758.0,27,22,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.304,71.0,305.354,74758.0,76136.0,75614.33333333333,18,4,99,6,1,3,6,2,0,0,1,0,0,0,0,0,0,0,0,0,1,100.0,83.0,81.0,81.0,78.0 +11.0,11,7,6.0,71,5882723.0,70.0,12.0,80485.0,192.512,perez,11.0,Mexican,racing_point,British,2019,18,Mexican Grand Prix,69000000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,Finished,0.0,64.0,7.0,0.0,77465.0,76687.0,76687.0,34,29,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.304,71.0,305.354,76687.0,77465.0,76946.33333333333,21,8,175,0,0,0,0,0,2,2,2,0,1,2,3,1,0,1,0,1,0,176.0,88.0,87.0,89.0,87.0 +3.0,13,8,4.0,71,5883828.0,53.0,9.0,80146.0,193.327,ricciardo,3.0,Australian,renault,French,2019,18,Mexican Grand Prix,69000000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,Finished,0.0,73.0,5.0,0.0,77270.0,76933.0,76933.0,35,30,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.304,71.0,305.354,76933.0,77270.0,77045.33333333333,22,8,168,0,0,0,1,0,1,2,0,1,0,1,2,0,3,0,0,0,1,165.0,89.0,83.0,87.0,85.0 +63.0,19,16,0.0,69,,69.0,17.0,81286.0,190.615,russell,63.0,British,williams,British,2019,18,Mexican Grand Prix,69000000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,+2 Laps,0.0,1.0,10.0,0.0,78823.0,78823.0,78823.0,26,21,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.304,71.0,305.354,78823.0,78823.0,78823.0,21,0,18,0,0,0,0,0,0,0,0,0,0,1,0,0,2,4,5,2,1,58.0,72.0,78.0,73.0,72.0 +55.0,7,13,0.0,70,,66.0,10.0,80311.0,192.929,sainz,55.0,Spanish,mclaren,British,2019,18,Mexican Grand Prix,69000000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,+1 Lap,0.0,111.0,4.0,0.0,77044.0,76267.0,76014.0,30,25,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.304,71.0,305.354,76014.0,77044.0,76441.66666666667,21,4,99,0,0,0,0,3,4,1,2,0,0,1,1,0,1,0,0,0,0,100.0,83.0,81.0,81.0,78.0 +18.0,16,12,0.0,70,,68.0,15.0,80922.0,191.473,stroll,18.0,Canadian,racing_point,British,2019,18,Mexican Grand Prix,69000000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,+1 Lap,0.0,64.0,7.0,0.0,78065.0,78065.0,78065.0,26,21,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.304,71.0,305.354,78065.0,78065.0,78065.0,19,2,59,0,0,0,1,0,0,0,0,4,1,1,2,3,2,0,1,1,0,72.0,76.0,76.0,76.0,74.0 +5.0,2,2,18.0,71,5810670.0,68.0,3.0,79381.0,195.19,vettel,5.0,German,ferrari,Italian,2019,18,Mexican Grand Prix,69000000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,Finished,1.0,466.0,2.0,3.0,76696.0,75914.0,75170.0,37,32,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.304,71.0,305.354,75170.0,76696.0,75926.66666666667,20,12,238,8,4,3,4,2,0,0,0,0,0,0,0,1,0,0,1,0,1,238.0,88.0,88.0,85.0,86.0 +23.0,6,5,10.0,56,5713691.0,42.0,3.0,98029.0,202.458,albon,23.0,Thai,red_bull,Austrian,2019,19,United States Grand Prix,69000000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,0.0,366.0,3.0,2.0,93984.0,92898.0,92548.0,28,23,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,92548.0,93984.0,93143.33333333331,23,0,19,0,0,0,1,3,3,0,1,1,2,2,1,0,1,2,0,0,0,58.0,72.0,78.0,73.0,72.0 +77.0,1,1,25.0,56,5635653.0,37.0,2.0,96957.0,204.696,bottas,77.0,Finnish,mercedes,German,2019,19,United States Grand Prix,69000000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,3.0,695.0,1.0,14.0,93750.0,93160.0,92029.0,35,30,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,92029.0,93750.0,92979.66666666669,24,6,138,14,7,4,1,1,0,0,1,0,0,0,0,0,0,1,0,0,0,137.0,87.0,90.0,80.0,83.0 +99.0,16,14,0.0,55,,41.0,10.0,99964.0,198.539,giovinazzi,99.0,Italian,alfa,Swiss,2019,19,United States Grand Prix,69000000.0,americas,Austin,USA,30.1328,-97.6411,161.0,+1 Lap,0.0,35.0,8.0,0.0,94226.0,94226.0,94226.0,31,26,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,94226.0,94226.0,94226.0,24,2,21,0,0,0,0,0,0,0,0,1,2,1,1,2,2,3,2,0,3,58.0,72.0,78.0,73.0,72.0 +8.0,15,15,0.0,55,,52.0,18.0,101270.0,195.979,grosjean,8.0,French,haas,American,2019,19,United States Grand Prix,69000000.0,americas,Austin,USA,30.1328,-97.6411,161.0,+1 Lap,0.0,28.0,9.0,0.0,94161.0,94158.0,94158.0,38,33,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,94158.0,94161.0,94159.0,23,10,164,0,0,0,0,0,0,1,0,0,2,2,0,2,1,0,2,1,2,162.0,86.0,81.0,84.0,83.0 +44.0,5,2,18.0,56,5639801.0,26.0,7.0,98446.0,201.6,hamilton,44.0,British,mercedes,German,2019,19,United States Grand Prix,69000000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,10.0,695.0,1.0,14.0,93454.0,93045.0,92321.0,39,34,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,92321.0,93454.0,92940.0,22,12,248,15,3,2,1,1,0,0,0,1,0,0,0,0,0,0,0,0,0,244.0,89.0,86.0,87.0,87.0 +27.0,11,9,2.0,55,,47.0,6.0,98437.0,201.619,hulkenberg,27.0,German,renault,French,2019,19,United States Grand Prix,69000000.0,americas,Austin,USA,30.1328,-97.6411,161.0,+1 Lap,0.0,83.0,5.0,0.0,94092.0,93815.0,93815.0,37,32,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,93815.0,94092.0,93907.33333333331,23,9,177,0,0,0,0,1,0,2,2,1,3,0,1,3,1,0,1,1,0,176.0,88.0,87.0,89.0,87.0 +26.0,13,12,0.0,55,,41.0,8.0,98969.0,200.535,kvyat,26.0,Russian,toro_rosso,Italian,2019,19,United States Grand Prix,69000000.0,americas,Austin,USA,30.1328,-97.6411,161.0,+1 Lap,0.0,64.0,7.0,0.0,94138.0,93989.0,93989.0,30,25,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,93989.0,94138.0,94038.66666666669,20,5,93,1,0,1,0,0,0,2,0,2,3,1,2,0,1,2,0,1,0,96.0,84.0,79.0,78.0,77.0 +16.0,4,4,13.0,56,5687892.0,44.0,1.0,96169.0,206.374,leclerc,16.0,Monegasque,ferrari,Italian,2019,19,United States Grand Prix,69000000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,2.0,479.0,2.0,3.0,93988.0,92760.0,92137.0,27,22,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,92137.0,93988.0,92961.66666666669,21,1,40,9,2,5,2,4,1,0,0,0,0,0,0,0,0,0,0,1,0,72.0,76.0,76.0,76.0,74.0 +33.0,3,3,15.0,56,5640655.0,42.0,5.0,98214.0,202.077,max_verstappen,33.0,Dutch,red_bull,Austrian,2019,19,United States Grand Prix,69000000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,2.0,366.0,3.0,2.0,93549.0,93120.0,92096.0,27,22,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,92096.0,93549.0,92921.66666666669,18,4,100,6,1,3,6,2,1,0,1,0,0,0,0,0,0,0,0,0,1,100.0,83.0,81.0,81.0,78.0 +4.0,8,7,6.0,56,5726417.0,44.0,4.0,98074.0,202.365,norris,4.0,British,mclaren,British,2019,19,United States Grand Prix,69000000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,0.0,121.0,4.0,0.0,93353.0,93316.0,93175.0,25,20,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,93175.0,93353.0,93281.33333333331,20,0,19,0,0,0,0,0,2,1,2,2,1,4,1,0,0,0,0,0,2,58.0,72.0,78.0,73.0,72.0 +11.0,20,10,1.0,55,,34.0,11.0,100165.0,198.141,perez,11.0,Mexican,racing_point,British,2019,19,United States Grand Prix,69000000.0,americas,Austin,USA,30.1328,-97.6411,161.0,+1 Lap,0.0,65.0,6.0,0.0,95808.0,95808.0,95808.0,34,29,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,95808.0,95808.0,95808.0,21,8,176,0,0,0,0,0,2,3,2,0,1,2,3,1,0,1,0,1,0,176.0,88.0,87.0,89.0,87.0 +7.0,17,11,0.0,55,,46.0,9.0,99608.0,199.249,raikkonen,7.0,Finnish,alfa,Swiss,2019,19,United States Grand Prix,69000000.0,americas,Austin,USA,30.1328,-97.6411,161.0,+1 Lap,0.0,35.0,8.0,0.0,94369.0,94369.0,94369.0,45,40,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,94369.0,94369.0,94369.0,27,13,226,0,0,0,0,0,0,3,2,2,1,0,2,1,1,2,1,1,1,223.0,91.0,82.0,86.0,87.0 +3.0,9,6,8.0,56,5726019.0,28.0,14.0,100564.0,197.354,ricciardo,3.0,Australian,renault,French,2019,19,United States Grand Prix,69000000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,0.0,83.0,5.0,0.0,93835.0,93608.0,93488.0,35,30,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,93488.0,93835.0,93643.66666666669,22,8,169,0,0,0,1,0,1,2,1,1,0,1,2,0,3,0,0,0,1,176.0,88.0,87.0,89.0,87.0 +63.0,18,17,0.0,54,,54.0,17.0,101239.0,196.039,russell,63.0,British,williams,British,2019,19,United States Grand Prix,69000000.0,americas,Austin,USA,30.1328,-97.6411,161.0,+2 Laps,0.0,1.0,10.0,0.0,95372.0,95372.0,95372.0,26,21,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,95372.0,95372.0,95372.0,21,0,19,0,0,0,0,0,0,0,0,0,0,1,0,0,2,4,6,2,1,58.0,72.0,78.0,73.0,72.0 +55.0,7,8,4.0,55,,44.0,15.0,100844.0,196.806,sainz,55.0,Spanish,mclaren,British,2019,19,United States Grand Prix,69000000.0,americas,Austin,USA,30.1328,-97.6411,161.0,+1 Lap,0.0,121.0,4.0,0.0,93916.0,93422.0,92847.0,30,25,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,92847.0,93916.0,93395.0,21,4,100,0,0,0,0,3,4,1,2,0,0,1,1,1,1,0,0,0,0,100.0,83.0,81.0,81.0,78.0 +18.0,14,13,0.0,55,,42.0,13.0,100380.0,197.716,stroll,18.0,Canadian,racing_point,British,2019,19,United States Grand Prix,69000000.0,americas,Austin,USA,30.1328,-97.6411,161.0,+1 Lap,0.0,65.0,6.0,0.0,93921.0,94100.0,94100.0,26,21,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,93921.0,94100.0,94040.33333333331,19,2,60,0,0,0,1,0,0,0,0,4,1,1,3,3,2,0,1,1,0,72.0,76.0,76.0,76.0,74.0 +23.0,5,14,0.0,71,5609605.0,52.0,4.0,71087.0,218.217,albon,23.0,Thai,red_bull,Austrian,2019,20,Brazilian Grand Prix,61800000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,391.0,3.0,3.0,68503.0,68117.0,67935.0,28,23,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,67935.0,68503.0,68185.0,23,0,20,0,0,0,1,4,3,0,1,1,2,2,1,0,1,2,0,0,0,58.0,72.0,78.0,73.0,72.0 +10.0,6,2,18.0,71,5600755.0,65.0,9.0,72425.0,214.185,gasly,10.0,French,toro_rosso,Italian,2019,20,Brazilian Grand Prix,61800000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,83.0,6.0,0.0,68909.0,68770.0,68837.0,28,23,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,68770.0,68909.0,68838.66666666667,21,2,46,0,0,0,1,1,3,2,3,2,1,2,0,0,2,0,1,1,0,72.0,76.0,76.0,76.0,74.0 +99.0,12,5,10.0,71,5604879.0,49.0,14.0,73020.0,212.44,giovinazzi,99.0,Italian,alfa,Swiss,2019,20,Brazilian Grand Prix,61800000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,57.0,8.0,0.0,69175.0,68919.0,68919.0,31,26,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,68919.0,69175.0,69004.33333333333,24,2,22,0,0,0,0,0,0,0,0,1,2,1,1,2,3,3,2,0,3,58.0,72.0,78.0,73.0,72.0 +8.0,7,13,0.0,71,5608925.0,29.0,18.0,73619.0,210.711,grosjean,8.0,French,haas,American,2019,20,Brazilian Grand Prix,61800000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,28.0,9.0,0.0,69197.0,68705.0,68854.0,38,33,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,68705.0,69197.0,68918.66666666667,23,10,165,0,0,0,0,0,0,1,0,0,2,2,0,2,1,1,2,1,2,162.0,86.0,81.0,84.0,83.0 +44.0,3,7,6.0,71,5605817.0,46.0,3.0,71082.0,218.232,hamilton,44.0,British,mercedes,German,2019,20,Brazilian Grand Prix,61800000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,10.0,701.0,1.0,14.0,68614.0,68088.0,67699.0,39,34,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,67699.0,68614.0,68133.66666666667,22,12,249,16,4,2,1,1,0,0,0,1,0,0,0,0,0,0,0,0,0,249.0,89.0,85.0,86.0,87.0 +27.0,13,15,0.0,71,5612737.0,64.0,13.0,72934.0,212.69,hulkenberg,27.0,German,renault,French,2019,20,Brazilian Grand Prix,61800000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,91.0,5.0,0.0,69050.0,68921.0,68921.0,37,32,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,68921.0,69050.0,68964.0,23,9,178,0,0,0,0,1,0,2,2,2,3,0,1,3,1,0,1,1,0,176.0,88.0,87.0,89.0,87.0 +20.0,9,11,0.0,71,5607410.0,65.0,17.0,73262.0,211.738,kevin_magnussen,20.0,Danish,haas,American,2019,20,Brazilian Grand Prix,61800000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,28.0,9.0,0.0,68875.0,68803.0,69037.0,32,27,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,68803.0,69037.0,68905.0,22,5,102,0,0,0,0,0,1,1,1,1,0,0,1,4,1,2,0,3,2,102.0,87.0,81.0,81.0,79.0 +88.0,19,16,0.0,70,,63.0,20.0,74553.0,208.072,kubica,88.0,Polish,williams,British,2019,20,Brazilian Grand Prix,61800000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,1.0,10.0,0.0,70614.0,70614.0,70614.0,40,35,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,70614.0,70614.0,70614.0,22,13,96,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,4,5,5,96.0,84.0,79.0,78.0,77.0 +26.0,16,10,1.0,71,5606609.0,49.0,8.0,72385.0,214.304,kvyat,26.0,Russian,toro_rosso,Italian,2019,20,Brazilian Grand Prix,61800000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,83.0,6.0,0.0,69320.0,69320.0,69320.0,30,25,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,69320.0,69320.0,69320.0,20,5,94,1,0,1,0,0,0,2,0,2,3,1,3,0,1,2,0,1,0,96.0,84.0,79.0,78.0,77.0 +33.0,1,1,25.0,71,5594678.0,61.0,2.0,70862.0,218.909,max_verstappen,33.0,Dutch,red_bull,Austrian,2019,20,Brazilian Grand Prix,61800000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,2.0,391.0,3.0,3.0,68242.0,67503.0,67508.0,27,22,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,67503.0,68242.0,67751.0,18,4,101,7,1,4,6,2,1,0,1,0,0,0,0,0,0,0,0,0,1,100.0,83.0,81.0,81.0,78.0 +4.0,10,8,4.0,71,5605882.0,63.0,7.0,72328.0,214.472,norris,4.0,British,mclaren,British,2019,20,Brazilian Grand Prix,61800000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,140.0,4.0,0.0,68891.0,68868.0,68868.0,25,20,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,68868.0,68891.0,68875.66666666667,20,0,20,0,0,0,0,0,2,2,2,2,1,4,1,0,0,0,0,0,2,58.0,72.0,78.0,73.0,72.0 +11.0,15,9,2.0,71,5606207.0,64.0,12.0,72840.0,212.965,perez,11.0,Mexican,racing_point,British,2019,20,Brazilian Grand Prix,61800000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,67.0,7.0,0.0,69288.0,69035.0,69035.0,34,29,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,69035.0,69288.0,69119.33333333333,21,8,177,0,0,0,0,0,2,3,2,0,2,2,3,1,0,1,0,1,0,176.0,88.0,87.0,89.0,87.0 +7.0,8,4,12.0,71,5604130.0,65.0,15.0,73135.0,212.106,raikkonen,7.0,Finnish,alfa,Swiss,2019,20,Brazilian Grand Prix,61800000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,57.0,8.0,0.0,69276.0,68858.0,68984.0,45,40,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,68858.0,69276.0,69039.33333333333,27,13,227,0,0,0,0,0,0,3,2,2,1,1,2,1,1,2,1,1,1,227.0,89.0,82.0,84.0,85.0 +3.0,11,6,8.0,71,5605219.0,44.0,11.0,72733.0,213.278,ricciardo,3.0,Australian,renault,French,2019,20,Brazilian Grand Prix,61800000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,91.0,5.0,0.0,69086.0,68903.0,68903.0,35,30,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,68903.0,69086.0,68964.0,22,8,170,0,0,0,1,0,2,2,1,1,0,1,2,0,3,0,0,0,1,176.0,88.0,87.0,89.0,87.0 +63.0,18,12,0.0,71,5608277.0,57.0,19.0,73752.0,210.331,russell,63.0,British,williams,British,2019,20,Brazilian Grand Prix,61800000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,1.0,10.0,0.0,70126.0,70126.0,70126.0,26,21,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,70126.0,70126.0,70126.0,21,0,20,0,0,0,0,0,0,0,0,0,0,1,0,0,2,4,6,3,1,58.0,72.0,78.0,73.0,72.0 +55.0,20,3,15.0,71,5603574.0,63.0,16.0,73158.0,212.039,sainz,55.0,Spanish,mclaren,British,2019,20,Brazilian Grand Prix,61800000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,140.0,4.0,0.0,70614.0,70614.0,70614.0,30,25,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,70614.0,70614.0,70614.0,21,4,101,0,0,0,0,3,4,1,3,0,0,1,1,1,1,0,0,0,0,100.0,83.0,81.0,81.0,78.0 +23.0,5,6,8.0,55,5714920.0,49.0,8.0,102219.0,195.603,albon,23.0,Thai,red_bull,Austrian,2019,21,Abu Dhabi Grand Prix,47400000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,417.0,3.0,3.0,96102.0,96718.0,95682.0,28,23,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,95682.0,96718.0,96167.33333333331,23,0,21,0,0,0,1,4,3,0,1,1,2,2,1,0,2,2,0,0,0,58.0,72.0,78.0,73.0,72.0 +77.0,20,4,12.0,55,5690094.0,31.0,2.0,99715.0,200.515,bottas,77.0,Finnish,mercedes,German,2019,21,Abu Dhabi Grand Prix,47400000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,4.0,739.0,1.0,15.0,96200.0,95674.0,94973.0,35,30,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,94973.0,96200.0,95615.66666666669,24,6,140,15,7,4,1,1,0,0,1,0,0,0,0,0,0,1,0,0,0,139.0,90.0,87.0,80.0,83.0 +10.0,11,18,0.0,53,,53.0,10.0,102414.0,195.231,gasly,10.0,French,toro_rosso,Italian,2019,21,Abu Dhabi Grand Prix,47400000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+2 Laps,0.0,85.0,6.0,0.0,97198.0,97089.0,97089.0,28,23,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,97089.0,97198.0,97125.33333333331,21,2,47,1,1,0,1,1,3,2,3,2,1,2,0,0,2,0,1,1,0,72.0,76.0,76.0,76.0,74.0 +99.0,16,16,0.0,54,,28.0,15.0,103256.0,193.639,giovinazzi,99.0,Italian,alfa,Swiss,2019,21,Abu Dhabi Grand Prix,47400000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,57.0,8.0,0.0,98114.0,98114.0,98114.0,31,26,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,98114.0,98114.0,98114.0,24,2,23,0,0,0,0,1,0,0,0,1,2,1,1,2,3,3,2,0,3,58.0,72.0,78.0,73.0,72.0 +8.0,15,15,0.0,54,,33.0,18.0,103666.0,192.873,grosjean,8.0,French,haas,American,2019,21,Abu Dhabi Grand Prix,47400000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,28.0,9.0,0.0,98051.0,98051.0,98051.0,38,33,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,98051.0,98051.0,98051.0,23,10,166,0,0,0,0,0,0,1,0,0,2,2,0,3,1,1,2,1,2,165.0,89.0,83.0,87.0,85.0 +44.0,1,1,26.0,55,5645715.0,53.0,1.0,99283.0,201.387,hamilton,44.0,British,mercedes,German,2019,21,Abu Dhabi Grand Prix,47400000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,10.0,739.0,1.0,15.0,95851.0,95634.0,94779.0,39,34,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,94779.0,95851.0,95421.33333333331,22,12,250,16,4,2,1,1,0,1,0,1,0,0,0,0,0,0,0,0,0,249.0,89.0,85.0,86.0,87.0 +27.0,9,12,0.0,54,,52.0,16.0,103274.0,193.605,hulkenberg,27.0,German,renault,French,2019,21,Abu Dhabi Grand Prix,47400000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,91.0,5.0,0.0,97506.0,96859.0,96710.0,37,32,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,96710.0,97506.0,97025.0,23,9,179,0,0,0,0,1,0,2,2,2,3,0,1,3,1,1,1,1,0,176.0,88.0,87.0,89.0,87.0 +20.0,14,14,0.0,54,,22.0,19.0,103790.0,192.642,kevin_magnussen,20.0,Danish,haas,American,2019,21,Abu Dhabi Grand Prix,47400000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,28.0,9.0,0.0,97710.0,97254.0,97254.0,32,27,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,97254.0,97710.0,97406.0,22,5,103,0,0,0,0,0,1,1,1,1,0,1,1,4,1,2,0,3,2,102.0,87.0,81.0,81.0,79.0 +88.0,19,19,0.0,53,,51.0,20.0,104500.0,191.333,kubica,88.0,Polish,williams,British,2019,21,Abu Dhabi Grand Prix,47400000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+2 Laps,0.0,1.0,10.0,0.0,99236.0,99236.0,99236.0,40,35,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,99236.0,99236.0,99236.0,22,13,97,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,5,5,5,100.0,83.0,81.0,81.0,78.0 +26.0,13,9,2.0,54,,42.0,9.0,102222.0,195.597,kvyat,26.0,Russian,toro_rosso,Italian,2019,21,Abu Dhabi Grand Prix,47400000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,85.0,6.0,0.0,97683.0,97141.0,97141.0,30,25,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,97141.0,97683.0,97321.66666666669,20,5,95,1,0,1,0,0,0,2,0,2,4,1,3,0,1,2,0,1,0,96.0,84.0,79.0,78.0,77.0 +16.0,3,3,15.0,55,5689150.0,44.0,4.0,100442.0,199.064,leclerc,16.0,Monegasque,ferrari,Italian,2019,21,Abu Dhabi Grand Prix,47400000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,2.0,504.0,2.0,3.0,96478.0,95543.0,95219.0,27,22,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,95219.0,96478.0,95746.66666666669,21,1,42,9,2,5,3,4,1,0,0,0,0,0,0,0,0,0,0,1,1,72.0,76.0,76.0,76.0,74.0 +33.0,2,2,18.0,55,5662487.0,55.0,5.0,101119.0,197.731,max_verstappen,33.0,Dutch,red_bull,Austrian,2019,21,Abu Dhabi Grand Prix,47400000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,3.0,417.0,3.0,3.0,96390.0,96275.0,95139.0,27,22,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,95139.0,96390.0,95934.66666666669,18,4,102,8,1,4,6,2,1,0,1,0,0,0,0,0,0,0,0,0,1,102.0,87.0,81.0,81.0,79.0 +4.0,6,8,4.0,54,,50.0,12.0,103026.0,194.071,norris,4.0,British,mclaren,British,2019,21,Abu Dhabi Grand Prix,47400000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,145.0,4.0,0.0,97545.0,96764.0,96436.0,25,20,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,96436.0,97545.0,96915.0,20,0,21,0,0,0,0,0,2,2,3,2,1,4,1,0,0,0,0,0,2,58.0,72.0,78.0,73.0,72.0 +11.0,10,7,6.0,54,,39.0,11.0,102639.0,194.803,perez,11.0,Mexican,racing_point,British,2019,21,Abu Dhabi Grand Prix,47400000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,73.0,7.0,0.0,96961.0,97055.0,97055.0,34,29,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,96961.0,97055.0,97023.66666666669,21,8,178,0,0,0,0,0,2,3,2,1,2,2,3,1,0,1,0,1,0,176.0,88.0,87.0,89.0,87.0 +7.0,17,13,0.0,54,,25.0,14.0,103142.0,193.853,raikkonen,7.0,Finnish,alfa,Swiss,2019,21,Abu Dhabi Grand Prix,47400000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,57.0,8.0,0.0,98383.0,98383.0,98383.0,45,40,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,98383.0,98383.0,98383.0,27,13,228,0,0,0,1,0,0,3,2,2,1,1,2,1,1,2,1,1,1,227.0,89.0,82.0,84.0,85.0 +3.0,7,11,0.0,54,,51.0,6.0,101190.0,197.592,ricciardo,3.0,Australian,renault,French,2019,21,Abu Dhabi Grand Prix,47400000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,91.0,5.0,0.0,97106.0,96785.0,96456.0,35,30,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,96456.0,97106.0,96782.33333333331,22,8,171,0,0,0,1,0,3,2,1,1,0,1,2,0,3,0,0,0,1,176.0,88.0,87.0,89.0,87.0 +63.0,18,17,0.0,54,,50.0,13.0,103074.0,193.981,russell,63.0,British,williams,British,2019,21,Abu Dhabi Grand Prix,47400000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,1.0,10.0,0.0,98717.0,98717.0,98717.0,26,21,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,98717.0,98717.0,98717.0,21,0,21,0,0,0,0,0,0,0,0,0,0,1,1,0,2,4,6,3,1,58.0,72.0,78.0,73.0,72.0 +55.0,8,10,1.0,54,,43.0,7.0,101294.0,197.389,sainz,55.0,Spanish,mclaren,British,2019,21,Abu Dhabi Grand Prix,47400000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,145.0,4.0,0.0,97358.0,96308.0,96459.0,30,25,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,96308.0,97358.0,96708.33333333331,21,4,102,1,0,1,0,3,4,1,3,0,0,1,1,1,1,0,0,0,0,102.0,87.0,81.0,81.0,79.0 +5.0,4,5,10.0,55,5710072.0,55.0,3.0,100128.0,199.688,vettel,5.0,German,ferrari,Italian,2019,21,Abu Dhabi Grand Prix,47400000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,1.0,504.0,2.0,3.0,96963.0,95786.0,95339.0,37,32,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,95339.0,96963.0,96029.33333333331,20,12,241,9,5,3,4,2,0,0,0,0,0,0,0,1,0,0,1,1,1,242.0,89.0,86.0,87.0,87.0 +77.0,1,1,25.0,71,5455739.0,68.0,2.0,67657.0,229.758,bottas,77.0,Finnish,mercedes,German,2020,1,Austrian Grand Prix,47400000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,0.0,37.0,1.0,1.0,64111.00000000001,63015.0,62939.0,35,31,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.318,71.0,306.452,62939.0,64111.00000000001,63355.0,24,7,141,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,188.0,89.0,99.0,91.0,90.0 +10.0,12,7,6.0,71,5472421.0,64.0,11.0,69025.0,225.205,gasly,10.0,French,alphatauri,Italian,2020,1,Austrian Grand Prix,47400000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,0.0,6.0,5.0,0.0,64602.99999999999,64305.00000000001,64305.00000000001,28,24,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.318,71.0,306.452,64305.00000000001,64602.99999999999,64404.333333333336,21,3,48,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,102.0,85.0,87.0,80.0,80.0 +99.0,18,9,2.0,71,5476885.0,70.0,9.0,68796.0,225.954,giovinazzi,99.0,Italian,alfa,Swiss,2020,1,Austrian Grand Prix,47400000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,0.0,2.0,7.0,0.0,65175.0,65175.0,65175.0,31,27,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.318,71.0,306.452,65175.0,65175.0,65175.0,24,3,24,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,73.0,83.0,70.0,79.0,73.0 +44.0,5,4,12.0,71,5461428.0,67.0,3.0,67712.0,229.572,hamilton,44.0,British,mercedes,German,2020,1,Austrian Grand Prix,47400000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,0.0,37.0,1.0,1.0,64197.99999999999,63096.0,62951.0,39,35,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.318,71.0,306.452,62951.0,64197.99999999999,63415.0,22,13,251,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,274.0,93.0,95.0,96.0,94.0 +6.0,20,11,0.0,71,5487389.0,63.0,16.0,69662.0,223.146,latifi,6.0,Canadian,williams,British,2020,1,Austrian Grand Prix,47400000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,0.0,0.0,8.0,0.0,65757.0,65757.0,65757.0,29,25,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.318,71.0,306.452,65757.0,65757.0,65757.0,25,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.0,60.0,80.0,64.0,64.0 +16.0,7,2,18.0,71,5458439.0,64.0,4.0,67901.0,228.933,leclerc,16.0,Monegasque,ferrari,Italian,2020,1,Austrian Grand Prix,47400000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,0.0,19.0,3.0,0.0,64500.0,64041.0,63923.0,27,23,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.318,71.0,306.452,63923.0,64500.0,64154.66666666666,21,2,43,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,116.0,92.0,82.0,93.0,86.0 +4.0,3,3,16.0,71,5461230.0,71.0,1.0,67475.0,230.378,norris,4.0,British,mclaren,British,2020,1,Austrian Grand Prix,47400000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,0.0,26.0,2.0,0.0,64605.99999999999,63819.0,63626.0,25,21,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.318,71.0,306.452,63626.0,64605.99999999999,64017.0,20,1,22,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,97.0,89.0,78.0,80.0,79.0 +31.0,14,8,4.0,71,5473195.0,64.0,10.0,68932.0,225.509,ocon,31.0,French,renault,French,2020,1,Austrian Grand Prix,47400000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,0.0,4.0,6.0,0.0,64933.00000000001,64643.0,64643.0,28,24,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.318,71.0,306.452,64643.0,64933.00000000001,64739.66666666666,20,4,51,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,106.0,90.0,79.0,82.0,80.0 +11.0,6,6,8.0,71,5470831.0,63.0,6.0,68305.0,227.579,perez,11.0,Mexican,racing_point,British,2020,1,Austrian Grand Prix,47400000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,0.0,8.0,4.0,0.0,64543.00000000001,63860.0,63868.0,34,30,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.318,71.0,306.452,63860.0,64543.00000000001,64090.333333333336,21,9,179,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,221.0,91.0,80.0,86.0,85.0 +55.0,8,5,10.0,71,5464642.0,63.0,5.0,67974.0,228.687,sainz,55.0,Spanish,mclaren,British,2020,1,Austrian Grand Prix,47400000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,0.0,26.0,2.0,0.0,64537.00000000001,63971.0,63971.0,30,26,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.318,71.0,306.452,63971.0,64537.00000000001,64159.66666666666,21,5,103,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,159.0,88.0,81.0,84.0,82.0 +5.0,11,10,1.0,71,5480284.0,71.0,8.0,68623.0,226.524,vettel,5.0,German,ferrari,Italian,2020,1,Austrian Grand Prix,47400000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,0.0,19.0,3.0,0.0,64554.0,64206.0,64206.0,37,33,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.318,71.0,306.452,64206.0,64554.0,64322.0,20,13,242,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,269.0,89.0,91.0,94.0,89.0 +23.0,6,4,12.0,71,5015083.0,67.0,6.0,67299.0,230.981,albon,23.0,Thai,red_bull,Austrian,2020,2,Styrian Grand Prix,47400000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,0.0,27.0,3.0,0.0,80882.0,79014.0,81011.0,28,24,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.318,71.0,306.452,79014.0,81011.0,80302.33333333333,23,1,23,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,97.0,87.0,78.0,83.0,79.0 +77.0,4,2,18.0,71,4984402.0,62.0,7.0,67534.0,230.177,bottas,77.0,Finnish,mercedes,German,2020,2,Styrian Grand Prix,47400000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,1.0,80.0,1.0,2.0,78791.0,78657.0,80701.0,35,31,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.318,71.0,306.452,78657.0,80701.0,79383.0,24,7,142,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,188.0,89.0,99.0,91.0,90.0 +10.0,7,15,0.0,70,,69.0,8.0,67827.0,229.183,gasly,10.0,French,alphatauri,Italian,2020,2,Styrian Grand Prix,47400000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,7.0,7.0,0.0,80192.0,78744.0,81028.0,28,24,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.318,71.0,306.452,78744.0,81028.0,79988.0,21,3,49,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,102.0,85.0,87.0,80.0,80.0 +99.0,19,14,0.0,70,,54.0,15.0,68512.0,226.891,giovinazzi,99.0,Italian,alfa,Swiss,2020,2,Styrian Grand Prix,47400000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,2.0,8.0,0.0,81831.0,81831.0,81831.0,31,27,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.318,71.0,306.452,81831.0,81831.0,81831.0,24,3,25,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,73.0,83.0,70.0,79.0,73.0 +8.0,20,13,0.0,70,,69.0,12.0,68047.0,228.442,grosjean,8.0,French,haas,American,2020,2,Styrian Grand Prix,47400000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,0.0,10.0,0.0,81831.0,81831.0,81831.0,38,34,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.318,71.0,306.452,81831.0,81831.0,81831.0,23,11,168,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,207.0,81.0,77.0,83.0,80.0 +44.0,1,1,25.0,71,4970683.0,68.0,3.0,66719.0,232.989,hamilton,44.0,British,mercedes,German,2020,2,Styrian Grand Prix,47400000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,0.0,80.0,1.0,2.0,78188.0,77825.0,79273.0,39,35,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.318,71.0,306.452,77825.0,79273.0,78428.66666666667,22,13,252,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,274.0,93.0,95.0,96.0,94.0 +20.0,15,12,0.0,70,,69.0,11.0,68009.0,228.569,kevin_magnussen,20.0,Danish,haas,American,2020,2,Styrian Grand Prix,47400000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,0.0,10.0,0.0,81140.0,80211.0,80211.0,32,28,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.318,71.0,306.452,80211.0,81140.0,80520.66666666667,22,6,105,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,159.0,79.0,73.0,83.0,78.0 +26.0,13,10,1.0,70,,60.0,13.0,68378.0,227.336,kvyat,26.0,Russian,alphatauri,Italian,2020,2,Styrian Grand Prix,47400000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,7.0,7.0,0.0,79824.0,79717.0,79717.0,30,26,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.318,71.0,306.452,79717.0,79824.0,79752.66666666667,20,6,97,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,150.0,86.0,74.0,85.0,80.0 +6.0,18,17,0.0,69,,68.0,17.0,68806.0,225.922,latifi,6.0,Canadian,williams,British,2020,2,Styrian Grand Prix,47400000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+2 Laps,0.0,0.0,9.0,0.0,81759.0,81759.0,81759.0,29,25,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.318,71.0,306.452,81759.0,81759.0,81759.0,25,0,2,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1.0,60.0,80.0,64.0,64.0 +33.0,2,3,15.0,71,5004381.0,70.0,2.0,66145.0,235.01,max_verstappen,33.0,Dutch,red_bull,Austrian,2020,2,Styrian Grand Prix,47400000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,0.0,27.0,3.0,0.0,78297.0,77938.0,80489.0,27,23,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.318,71.0,306.452,77938.0,80489.0,78908.0,18,5,104,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,173.0,94.0,84.0,96.0,90.0 +4.0,9,5,10.0,71,5032153.0,66.0,5.0,67193.0,231.345,norris,4.0,British,mclaren,British,2020,2,Styrian Grand Prix,47400000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,0.0,39.0,2.0,0.0,78504.0,78448.0,80925.0,25,21,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.318,71.0,306.452,78448.0,80925.0,79292.33333333333,20,1,23,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,97.0,89.0,78.0,80.0,79.0 +11.0,17,6,8.0,71,5033070.0,68.0,4.0,67188.0,231.362,perez,11.0,Mexican,racing_point,British,2020,2,Styrian Grand Prix,47400000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,0.0,22.0,4.0,0.0,81607.0,81607.0,81607.0,34,30,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.318,71.0,306.452,81607.0,81607.0,81607.0,21,9,180,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,221.0,91.0,80.0,86.0,85.0 +7.0,16,11,0.0,70,,57.0,14.0,68382.0,227.322,raikkonen,7.0,Finnish,alfa,Swiss,2020,2,Styrian Grand Prix,47400000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,2.0,8.0,0.0,81140.0,81140.0,81140.0,45,41,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.318,71.0,306.452,81140.0,81140.0,81140.0,27,14,230,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,317.0,84.0,91.0,83.0,87.0 +3.0,8,8,4.0,71,5033274.0,65.0,9.0,67832.0,229.166,ricciardo,3.0,Australian,renault,French,2020,2,Styrian Grand Prix,47400000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,0.0,8.0,6.0,0.0,79662.0,79229.0,81192.0,35,31,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.318,71.0,306.452,79229.0,81192.0,80027.66666666667,22,9,173,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,212.0,90.0,86.0,90.0,87.0 +63.0,11,16,0.0,69,,36.0,16.0,68601.0,226.597,russell,63.0,British,williams,British,2020,2,Styrian Grand Prix,47400000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+2 Laps,0.0,0.0,9.0,0.0,80382.0,79636.0,79636.0,26,22,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.318,71.0,306.452,79636.0,80382.0,79884.66666666667,21,1,23,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,97.0,73.0,78.0,80.0,75.0 +55.0,3,9,3.0,70,,68.0,1.0,65619.0,236.894,sainz,55.0,Spanish,mclaren,British,2020,2,Styrian Grand Prix,47400000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,39.0,2.0,0.0,78590.0,78836.0,80671.0,30,26,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.318,71.0,306.452,78590.0,80671.0,79365.66666666667,21,5,104,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,159.0,88.0,81.0,84.0,82.0 +18.0,12,7,6.0,71,5033136.0,65.0,10.0,67833.0,229.162,stroll,18.0,Canadian,racing_point,British,2020,2,Styrian Grand Prix,47400000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,0.0,22.0,4.0,0.0,79697.0,79645.0,79645.0,26,22,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.318,71.0,306.452,79645.0,79697.0,79662.33333333333,19,3,64,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,121.0,86.0,73.0,83.0,78.0 +23.0,13,5,10.0,70,5850789.0,68.0,5.0,79440.0,198.534,albon,23.0,Thai,red_bull,Austrian,2020,3,Hungarian Grand Prix,47400000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,55.0,2.0,0.0,75722.0,75715.0,75715.0,28,24,"Wet at start, partly cloudy",0,0,0,1,1,Race circuit,Clockwise,4.381,70.0,306.63,75715.0,75722.0,75717.33333333333,23,1,24,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,97.0,87.0,78.0,83.0,79.0 +77.0,2,3,15.0,70,5781925.0,66.0,2.0,77665.0,203.072,bottas,77.0,Finnish,mercedes,German,2020,3,Hungarian Grand Prix,47400000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,1.0,121.0,1.0,3.0,75474.0,74530.0,73554.0,35,31,"Wet at start, partly cloudy",0,0,0,1,1,Race circuit,Clockwise,4.381,70.0,306.63,73554.0,75474.0,74519.33333333333,24,7,143,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,188.0,89.0,99.0,91.0,90.0 +99.0,19,17,0.0,69,,44.0,11.0,80096.0,196.908,giovinazzi,99.0,Italian,alfa,Swiss,2020,3,Hungarian Grand Prix,47400000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,2.0,8.0,0.0,76506.0,76506.0,76506.0,31,27,"Wet at start, partly cloudy",0,0,0,1,1,Race circuit,Clockwise,4.381,70.0,306.63,76506.0,76506.0,76506.0,24,3,26,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,73.0,83.0,70.0,79.0,73.0 +8.0,21,16,0.0,69,,61.0,12.0,80232.0,196.574,grosjean,8.0,French,haas,American,2020,3,Hungarian Grand Prix,47400000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,1.0,9.0,0.0,76407.0,76407.0,76407.0,38,34,"Wet at start, partly cloudy",0,0,0,1,1,Race circuit,Clockwise,4.381,70.0,306.63,76407.0,76407.0,76407.0,23,11,169,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,207.0,81.0,77.0,83.0,80.0 +44.0,1,1,26.0,70,5772473.0,70.0,1.0,76627.0,205.823,hamilton,44.0,British,mercedes,German,2020,3,Hungarian Grand Prix,47400000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,1.0,121.0,1.0,3.0,74907.0,74261.0,73447.0,39,35,"Wet at start, partly cloudy",0,0,0,1,1,Race circuit,Clockwise,4.381,70.0,306.63,73447.0,74907.0,74205.0,22,13,253,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,274.0,93.0,95.0,96.0,94.0 +20.0,21,10,1.0,69,,67.0,6.0,79457.0,198.492,kevin_magnussen,20.0,Danish,haas,American,2020,3,Hungarian Grand Prix,47400000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,1.0,9.0,0.0,76152.0,76152.0,76152.0,32,28,"Wet at start, partly cloudy",0,0,0,1,1,Race circuit,Clockwise,4.381,70.0,306.63,76152.0,76152.0,76152.0,22,6,106,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,159.0,79.0,73.0,83.0,78.0 +26.0,17,12,0.0,69,,51.0,18.0,80946.0,194.841,kvyat,26.0,Russian,alphatauri,Italian,2020,3,Hungarian Grand Prix,47400000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,7.0,7.0,0.0,76204.0,76204.0,76204.0,30,26,"Wet at start, partly cloudy",0,0,0,1,1,Race circuit,Clockwise,4.381,70.0,306.63,76204.0,76204.0,76204.0,20,6,98,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,150.0,86.0,74.0,85.0,80.0 +6.0,15,19,0.0,65,,64.0,19.0,81198.0,194.236,latifi,6.0,Canadian,williams,British,2020,3,Hungarian Grand Prix,47400000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+5 Laps,0.0,0.0,10.0,0.0,76105.0,76544.0,76544.0,29,25,"Wet at start, partly cloudy",0,0,0,1,1,Race circuit,Clockwise,4.381,70.0,306.63,76105.0,76544.0,76397.66666666667,25,0,3,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,1.0,60.0,80.0,64.0,64.0 +16.0,6,11,0.0,69,,64.0,16.0,80821.0,195.142,leclerc,16.0,Monegasque,ferrari,Italian,2020,3,Hungarian Grand Prix,47400000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,27.0,5.0,0.0,75793.0,75006.0,74817.0,27,23,"Wet at start, partly cloudy",0,0,0,1,1,Race circuit,Clockwise,4.381,70.0,306.63,74817.0,75793.0,75205.33333333333,21,2,45,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,116.0,92.0,82.0,93.0,86.0 +33.0,7,2,18.0,70,5781175.0,60.0,4.0,79184.0,199.176,max_verstappen,33.0,Dutch,red_bull,Austrian,2020,3,Hungarian Grand Prix,47400000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,55.0,2.0,0.0,75495.0,74976.0,74849.0,27,23,"Wet at start, partly cloudy",0,0,0,1,1,Race circuit,Clockwise,4.381,70.0,306.63,74849.0,75495.0,75106.66666666667,18,5,105,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,173.0,94.0,84.0,96.0,90.0 +4.0,8,13,0.0,69,,42.0,8.0,79945.0,197.28,norris,4.0,British,mclaren,British,2020,3,Hungarian Grand Prix,47400000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,41.0,3.0,0.0,75444.0,75085.0,74966.0,25,21,"Wet at start, partly cloudy",0,0,0,1,1,Race circuit,Clockwise,4.381,70.0,306.63,74966.0,75444.0,75165.0,20,1,24,1,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,97.0,89.0,78.0,80.0,79.0 +31.0,14,14,0.0,69,,40.0,13.0,80261.0,196.503,ocon,31.0,French,renault,French,2020,3,Hungarian Grand Prix,47400000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,12.0,6.0,0.0,75719.0,75742.0,75742.0,28,24,"Wet at start, partly cloudy",0,0,0,1,1,Race circuit,Clockwise,4.381,70.0,306.63,75719.0,75742.0,75734.33333333333,20,4,53,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,106.0,90.0,79.0,82.0,80.0 +11.0,4,7,6.0,69,,39.0,10.0,80090.0,196.923,perez,11.0,Mexican,racing_point,British,2020,3,Hungarian Grand Prix,47400000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,40.0,4.0,0.0,74681.0,75394.0,74545.0,34,30,"Wet at start, partly cloudy",0,0,0,1,1,Race circuit,Clockwise,4.381,70.0,306.63,74545.0,75394.0,74873.33333333333,21,9,181,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,221.0,91.0,80.0,86.0,85.0 +7.0,20,15,0.0,69,,67.0,17.0,80889.0,194.978,raikkonen,7.0,Finnish,alfa,Swiss,2020,3,Hungarian Grand Prix,47400000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,2.0,8.0,0.0,76614.0,76614.0,76614.0,45,41,"Wet at start, partly cloudy",0,0,0,1,1,Race circuit,Clockwise,4.381,70.0,306.63,76614.0,76614.0,76614.0,27,14,231,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,317.0,84.0,91.0,83.0,87.0 +3.0,11,8,4.0,69,,46.0,7.0,79532.0,198.305,ricciardo,3.0,Australian,renault,French,2020,3,Hungarian Grand Prix,47400000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,12.0,6.0,0.0,75848.0,75661.0,75661.0,35,31,"Wet at start, partly cloudy",0,0,0,1,1,Race circuit,Clockwise,4.381,70.0,306.63,75661.0,75848.0,75723.33333333333,22,9,174,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,212.0,90.0,86.0,90.0,87.0 +63.0,12,18,0.0,69,,67.0,9.0,79984.0,197.184,russell,63.0,British,williams,British,2020,3,Hungarian Grand Prix,47400000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,0.0,10.0,0.0,75585.0,75698.0,75698.0,26,22,"Wet at start, partly cloudy",0,0,0,1,1,Race circuit,Clockwise,4.381,70.0,306.63,75585.0,75698.0,75660.33333333333,21,1,24,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,97.0,73.0,78.0,80.0,75.0 +55.0,9,9,2.0,69,,68.0,15.0,80477.0,195.976,sainz,55.0,Spanish,mclaren,British,2020,3,Hungarian Grand Prix,47400000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,41.0,3.0,0.0,75281.0,75267.0,75027.0,30,26,"Wet at start, partly cloudy",0,0,0,1,1,Race circuit,Clockwise,4.381,70.0,306.63,75027.0,75281.0,75191.66666666667,21,5,105,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,159.0,88.0,81.0,84.0,82.0 +18.0,3,4,12.0,70,5830052.0,68.0,3.0,78973.0,199.708,stroll,18.0,Canadian,racing_point,British,2020,3,Hungarian Grand Prix,47400000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,40.0,4.0,0.0,74895.0,75176.0,74377.0,26,22,"Wet at start, partly cloudy",0,0,0,1,1,Race circuit,Clockwise,4.381,70.0,306.63,74377.0,75176.0,74816.0,19,3,65,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,121.0,86.0,73.0,83.0,78.0 +5.0,5,6,8.0,69,,49.0,14.0,80363.0,196.254,vettel,5.0,German,ferrari,Italian,2020,3,Hungarian Grand Prix,47400000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,27.0,5.0,0.0,75455.0,75131.0,74774.0,37,33,"Wet at start, partly cloudy",0,0,0,1,1,Race circuit,Clockwise,4.381,70.0,306.63,74774.0,75455.0,75120.0,20,13,244,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,269.0,89.0,91.0,94.0,89.0 +23.0,12,8,4.0,52,5313953.0,52.0,2.0,88689.0,239.123,albon,23.0,Thai,red_bull,Austrian,2020,4,British Grand Prix,47400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,78.0,2.0,0.0,86565.0,86545.0,86545.0,28,24,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,86545.0,86565.0,86551.66666666667,23,1,25,0,0,0,1,1,0,0,0,0,0,0,0,1,0,0,0,0,0,97.0,87.0,78.0,83.0,79.0 +77.0,2,11,0.0,52,5323450.0,41.0,4.0,89265.0,237.58,bottas,77.0,Finnish,mercedes,German,2020,4,British Grand Prix,47400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,1.0,146.0,1.0,4.0,85801.0,85015.0,84616.0,35,31,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,84616.0,85801.0,85144.0,24,7,144,3,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,188.0,89.0,99.0,91.0,90.0 +10.0,11,7,6.0,52,5312471.0,52.0,7.0,89603.0,236.684,gasly,10.0,French,alphatauri,Italian,2020,4,British Grand Prix,47400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,13.0,7.0,0.0,86343.0,86501.0,86501.0,28,24,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,86343.0,86501.0,86448.33333333333,21,3,51,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,102.0,85.0,87.0,80.0,80.0 +99.0,15,14,0.0,52,5335488.0,49.0,17.0,90977.0,233.109,giovinazzi,99.0,Italian,alfa,Swiss,2020,4,British Grand Prix,47400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,2.0,8.0,0.0,87164.0,87164.0,87164.0,31,27,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,87164.0,87164.0,87164.0,24,3,27,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,1,0,73.0,83.0,70.0,79.0,73.0 +8.0,17,16,0.0,52,5336333.0,49.0,8.0,89782.0,236.212,grosjean,8.0,French,haas,American,2020,4,British Grand Prix,47400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,1.0,9.0,0.0,87643.0,87643.0,87643.0,38,34,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,87643.0,87643.0,87643.0,23,11,170,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,207.0,81.0,77.0,83.0,80.0 +44.0,1,1,25.0,52,5281283.0,45.0,3.0,89238.0,237.652,hamilton,44.0,British,mercedes,German,2020,4,British Grand Prix,47400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,2.0,146.0,1.0,4.0,85900.0,85347.0,84303.0,39,35,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,84303.0,85900.0,85183.33333333333,22,13,254,2,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,274.0,93.0,95.0,96.0,94.0 +6.0,18,15,0.0,52,5335832.0,44.0,14.0,90501.0,234.335,latifi,6.0,Canadian,williams,British,2020,4,British Grand Prix,47400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,0.0,10.0,0.0,87705.0,87705.0,87705.0,29,25,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,87705.0,87705.0,87705.0,25,0,4,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,1.0,60.0,80.0,64.0,64.0 +16.0,4,3,15.0,52,5299757.0,49.0,9.0,89813.0,236.13,leclerc,16.0,Monegasque,ferrari,Italian,2020,4,British Grand Prix,47400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,43.0,4.0,0.0,86550.0,86203.0,85427.0,27,23,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,85427.0,86550.0,86060.0,21,2,46,1,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,116.0,92.0,82.0,93.0,86.0 +33.0,3,2,19.0,52,5287139.0,52.0,1.0,87097.0,243.494,max_verstappen,33.0,Dutch,red_bull,Austrian,2020,4,British Grand Prix,47400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,78.0,2.0,0.0,86115.0,86144.0,85325.0,27,23,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,85325.0,86144.0,85861.33333333333,18,5,106,2,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,173.0,94.0,84.0,96.0,90.0 +4.0,5,5,10.0,52,5303560.0,41.0,12.0,90058.0,235.488,norris,4.0,British,mclaren,British,2020,4,British Grand Prix,47400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,51.0,3.0,0.0,86855.0,86420.0,85782.0,25,21,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,85782.0,86855.0,86352.33333333333,20,1,25,1,0,1,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,97.0,89.0,78.0,80.0,79.0 +31.0,9,6,8.0,52,5308220.0,50.0,6.0,89491.0,236.98,ocon,31.0,French,renault,French,2020,4,British Grand Prix,47400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,32.0,6.0,0.0,86396.0,86252.0,86209.0,28,24,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,86209.0,86396.0,86285.66666666667,20,4,54,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,1,106.0,90.0,79.0,82.0,80.0 +7.0,16,17,0.0,51,,49.0,11.0,89973.0,235.71,raikkonen,7.0,Finnish,alfa,Swiss,2020,4,British Grand Prix,47400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,2.0,8.0,0.0,87366.0,87366.0,87366.0,45,41,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,87366.0,87366.0,87366.0,27,14,232,0,0,0,0,0,0,0,0,0,0,1,0,0,1,1,0,0,0,317.0,84.0,91.0,83.0,87.0 +3.0,8,4,12.0,52,5300933.0,49.0,5.0,89482.0,237.004,ricciardo,3.0,Australian,renault,French,2020,4,British Grand Prix,47400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,32.0,6.0,0.0,86677.0,86339.0,86009.0,35,31,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,86009.0,86677.0,86341.66666666667,22,9,175,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,212.0,90.0,86.0,90.0,87.0 +63.0,20,12,0.0,52,5333287.0,41.0,16.0,90862.0,233.404,russell,63.0,British,williams,British,2020,4,British Grand Prix,47400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,0.0,10.0,0.0,86732.0,87092.0,87092.0,26,22,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,86732.0,87092.0,86972.0,21,1,25,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,1,97.0,73.0,78.0,80.0,75.0 +55.0,7,13,0.0,52,5334653.0,47.0,10.0,89948.0,235.776,sainz,55.0,Spanish,mclaren,British,2020,4,British Grand Prix,47400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,51.0,3.0,0.0,86715.0,86149.0,85965.0,30,26,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,85965.0,86715.0,86276.33333333333,21,5,106,0,0,0,0,1,0,0,0,2,0,0,0,0,0,0,0,0,0,159.0,88.0,81.0,84.0,82.0 +18.0,6,9,2.0,52,5318594.0,44.0,13.0,90475.0,234.402,stroll,18.0,Canadian,racing_point,British,2020,4,British Grand Prix,47400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,42.0,5.0,0.0,86243.0,86501.0,85839.0,26,22,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,85839.0,86501.0,86194.33333333333,19,3,66,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,1,121.0,86.0,73.0,83.0,78.0 +5.0,10,10,1.0,52,5323140.0,44.0,15.0,90537.0,234.242,vettel,5.0,German,ferrari,Italian,2020,4,British Grand Prix,47400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,43.0,4.0,0.0,86469.0,86455.0,86339.0,37,33,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,86339.0,86469.0,86421.0,20,13,245,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,269.0,89.0,91.0,94.0,89.0 +23.0,9,5,10.0,52,4821139.0,46.0,3.0,89477.0,237.017,albon,23.0,Thai,red_bull,Austrian,2020,5,70th Anniversary Grand Prix,47400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,113.0,2.0,1.0,87153.0,86642.0,86669.0,28,24,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,86642.0,87153.0,86821.33333333333,23,1,26,0,0,0,1,1,0,0,1,0,0,0,0,1,0,0,0,0,0,97.0,87.0,78.0,83.0,79.0 +77.0,1,3,15.0,52,4801224.0,44.0,4.0,89765.0,236.256,bottas,77.0,Finnish,mercedes,German,2020,5,70th Anniversary Grand Prix,47400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,1.0,180.0,1.0,4.0,86738.0,85785.0,85154.0,35,31,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,85154.0,86738.0,85892.33333333333,24,7,145,3,1,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,188.0,89.0,99.0,91.0,90.0 +10.0,7,11,0.0,52,4852635.0,52.0,7.0,90092.0,235.399,gasly,10.0,French,alphatauri,Italian,2020,5,70th Anniversary Grand Prix,47400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,14.0,7.0,0.0,87154.0,86523.0,86534.0,28,24,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,86523.0,87154.0,86737.0,21,3,52,0,0,0,0,0,0,2,0,0,0,0,0,0,0,1,0,0,0,102.0,85.0,87.0,80.0,80.0 +99.0,19,17,0.0,51,,37.0,19.0,91826.0,230.954,giovinazzi,99.0,Italian,alfa,Swiss,2020,5,70th Anniversary Grand Prix,47400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,2.0,8.0,0.0,88433.0,88433.0,88433.0,31,27,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,88433.0,88433.0,88433.0,24,3,28,0,0,0,0,0,0,0,0,1,0,0,0,0,2,0,0,1,0,73.0,83.0,70.0,79.0,73.0 +8.0,13,16,0.0,51,,51.0,14.0,90793.0,233.581,grosjean,8.0,French,haas,American,2020,5,70th Anniversary Grand Prix,47400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,1.0,9.0,0.0,87519.0,87254.0,87254.0,38,34,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,87254.0,87519.0,87342.33333333333,23,11,171,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,3,0,0,207.0,81.0,77.0,83.0,80.0 +44.0,2,2,19.0,52,4793319.0,43.0,1.0,88451.0,239.766,hamilton,44.0,British,mercedes,German,2020,5,70th Anniversary Grand Prix,47400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,3.0,180.0,1.0,4.0,86818.0,86266.0,85217.0,39,35,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,85217.0,86818.0,86100.33333333333,22,13,255,3,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,274.0,93.0,95.0,96.0,94.0 +27.0,3,7,6.0,52,4837944.0,52.0,6.0,90087.0,235.412,hulkenberg,27.0,German,racing_point,British,2020,5,70th Anniversary Grand Prix,47400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,41.0,5.0,0.0,87279.0,86261.0,86082.0,37,33,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,86082.0,87279.0,86540.66666666667,23,10,181,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,179.0,87.0,90.0,88.0,87.0 +26.0,16,10,1.0,52,4851662.0,52.0,12.0,90738.0,233.723,kvyat,26.0,Russian,alphatauri,Italian,2020,5,70th Anniversary Grand Prix,47400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,14.0,7.0,0.0,87882.0,87882.0,87882.0,30,26,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,87882.0,87882.0,87882.0,20,6,100,0,0,0,0,0,0,0,0,0,1,0,2,0,0,0,0,0,1,150.0,86.0,74.0,85.0,80.0 +6.0,18,19,0.0,51,,48.0,5.0,89950.0,235.77,latifi,6.0,Canadian,williams,British,2020,5,70th Anniversary Grand Prix,47400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,0.0,10.0,0.0,88430.0,88430.0,88430.0,29,25,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,88430.0,88430.0,88430.0,25,0,5,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,1,0,1.0,60.0,80.0,64.0,64.0 +16.0,8,4,12.0,52,4811282.0,39.0,8.0,90552.0,234.203,leclerc,16.0,Monegasque,ferrari,Italian,2020,5,70th Anniversary Grand Prix,47400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,55.0,3.0,0.0,87427.0,86709.0,86614.0,27,23,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,86614.0,87427.0,86916.66666666667,21,2,47,2,1,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,116.0,92.0,82.0,93.0,86.0 +33.0,4,1,25.0,52,4781993.0,46.0,2.0,89465.0,237.049,max_verstappen,33.0,Dutch,red_bull,Austrian,2020,5,70th Anniversary Grand Prix,47400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,113.0,2.0,1.0,87154.0,86779.0,86176.0,27,23,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,86176.0,87154.0,86703.0,18,5,107,3,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,173.0,94.0,84.0,96.0,90.0 +4.0,10,9,2.0,52,4847537.0,49.0,11.0,90698.0,233.826,norris,4.0,British,mclaren,British,2020,5,70th Anniversary Grand Prix,47400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,53.0,4.0,0.0,87217.0,86885.0,86778.0,25,21,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,86778.0,87217.0,86960.0,20,1,26,1,0,1,0,2,0,0,0,0,0,0,0,1,0,0,0,0,0,97.0,89.0,78.0,80.0,79.0 +31.0,14,8,4.0,52,4846766.0,50.0,10.0,90575.0,234.144,ocon,31.0,French,renault,French,2020,5,70th Anniversary Grand Prix,47400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,36.0,6.0,0.0,87278.0,87011.0,87011.0,28,24,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,87011.0,87278.0,87100.0,20,4,55,0,0,0,0,0,1,0,1,0,0,0,0,0,1,0,0,0,1,106.0,90.0,79.0,82.0,80.0 +7.0,20,15,0.0,51,,30.0,18.0,91756.0,231.13,raikkonen,7.0,Finnish,alfa,Swiss,2020,5,70th Anniversary Grand Prix,47400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,2.0,8.0,0.0,88493.0,88493.0,88493.0,45,41,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,88493.0,88493.0,88493.0,27,14,233,0,0,0,0,0,0,0,0,0,0,1,0,0,1,1,0,1,0,317.0,84.0,91.0,83.0,87.0 +3.0,5,14,0.0,51,,39.0,16.0,91168.0,232.621,ricciardo,3.0,Australian,renault,French,2020,5,70th Anniversary Grand Prix,47400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,36.0,6.0,0.0,87442.0,86636.0,86297.0,35,31,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,86297.0,87442.0,86791.66666666667,22,9,176,0,0,0,1,0,0,0,2,0,0,0,0,0,0,0,0,0,0,212.0,90.0,86.0,90.0,87.0 +63.0,15,18,0.0,51,,50.0,17.0,91408.0,232.01,russell,63.0,British,williams,British,2020,5,70th Anniversary Grand Prix,47400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,0.0,10.0,0.0,87757.0,87455.0,87455.0,26,22,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,87455.0,87757.0,87555.66666666667,21,1,26,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,1,0,1,97.0,73.0,78.0,80.0,75.0 +55.0,12,13,0.0,52,4856063.0,49.0,9.0,90556.0,234.193,sainz,55.0,Spanish,mclaren,British,2020,5,70th Anniversary Grand Prix,47400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,53.0,4.0,0.0,87450.0,87083.0,87083.0,30,26,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,87083.0,87450.0,87205.33333333333,21,5,107,0,0,0,0,1,0,0,0,2,0,0,0,1,0,0,0,0,0,159.0,88.0,81.0,84.0,82.0 +18.0,6,6,8.0,52,4824531.0,45.0,15.0,90877.0,233.365,stroll,18.0,Canadian,racing_point,British,2020,5,70th Anniversary Grand Prix,47400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,41.0,5.0,0.0,87187.0,86674.0,86428.0,26,22,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,86428.0,87187.0,86763.0,19,3,67,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,1,121.0,86.0,73.0,83.0,78.0 +5.0,11,12,0.0,52,4855363.0,49.0,13.0,90785.0,233.602,vettel,5.0,German,ferrari,Italian,2020,5,70th Anniversary Grand Prix,47400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,55.0,3.0,0.0,87612.0,87078.0,87078.0,37,33,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,87078.0,87612.0,87256.0,20,13,246,0,0,0,0,0,1,0,0,0,2,0,0,0,0,0,0,0,0,269.0,89.0,91.0,94.0,89.0 +23.0,6,8,4.0,65,,41.0,11.0,82194.0,203.883,albon,23.0,Thai,red_bull,Austrian,2020,6,Spanish Grand Prix,47400000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,135.0,2.0,1.0,77419.0,77163.0,77029.0,28,24,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,77029.0,77419.0,77203.66666666667,23,1,27,0,0,0,1,2,0,0,1,0,0,0,0,1,0,0,0,0,0,97.0,87.0,78.0,83.0,79.0 +77.0,2,3,16.0,66,5550031.0,66.0,1.0,78183.0,214.343,bottas,77.0,Finnish,mercedes,German,2020,6,Spanish Grand Prix,47400000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,1.0,221.0,1.0,5.0,77243.0,76152.0,75643.0,35,31,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,75643.0,77243.0,76346.0,24,7,146,4,1,2,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,188.0,89.0,99.0,91.0,90.0 +10.0,10,9,2.0,65,,44.0,17.0,82543.0,203.021,gasly,10.0,French,alphatauri,Italian,2020,6,Spanish Grand Prix,47400000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,16.0,7.0,0.0,77356.0,76800.0,77136.0,28,24,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,76800.0,77356.0,77097.33333333333,21,3,53,0,0,0,0,0,0,2,0,0,0,1,0,0,0,1,0,0,0,102.0,85.0,87.0,80.0,80.0 +99.0,20,16,0.0,65,,47.0,6.0,81801.0,204.863,giovinazzi,99.0,Italian,alfa,Swiss,2020,6,Spanish Grand Prix,47400000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,2.0,8.0,0.0,78697.0,78697.0,78697.0,31,27,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,78697.0,78697.0,78697.0,24,3,29,0,0,0,0,0,0,0,0,1,0,0,0,0,2,0,0,2,0,73.0,83.0,70.0,79.0,73.0 +8.0,17,19,0.0,64,,64.0,3.0,80409.0,208.409,grosjean,8.0,French,haas,American,2020,6,Spanish Grand Prix,47400000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+2 Laps,0.0,1.0,9.0,0.0,78089.0,78089.0,78089.0,38,34,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,78089.0,78089.0,78089.0,23,11,172,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,4,0,0,207.0,81.0,77.0,83.0,80.0 +44.0,1,1,25.0,66,5505279.0,63.0,2.0,79822.0,209.942,hamilton,44.0,British,mercedes,German,2020,6,Spanish Grand Prix,47400000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,3.0,221.0,1.0,5.0,76872.0,76013.0,75584.0,39,35,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,75584.0,76872.0,76156.33333333333,22,13,256,4,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,274.0,93.0,95.0,96.0,94.0 +20.0,16,15,0.0,65,,64.0,19.0,83474.0,200.757,kevin_magnussen,20.0,Danish,haas,American,2020,6,Spanish Grand Prix,47400000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,1.0,9.0,0.0,77908.0,77908.0,77908.0,32,28,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,77908.0,77908.0,77908.0,22,6,109,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,1,0,159.0,79.0,73.0,83.0,78.0 +26.0,12,12,0.0,65,,47.0,12.0,82336.0,203.531,kvyat,26.0,Russian,alphatauri,Italian,2020,6,Spanish Grand Prix,47400000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,16.0,7.0,0.0,77676.0,77192.0,77192.0,30,26,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,77192.0,77676.0,77353.33333333333,20,6,101,0,0,0,0,0,0,0,0,0,2,0,2,0,0,0,0,0,1,150.0,86.0,74.0,85.0,80.0 +6.0,19,18,0.0,64,,60.0,9.0,82030.0,204.291,latifi,6.0,Canadian,williams,British,2020,6,Spanish Grand Prix,47400000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+2 Laps,0.0,0.0,10.0,0.0,78532.0,78532.0,78532.0,29,25,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,78532.0,78532.0,78532.0,25,0,6,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,1,0,1.0,60.0,80.0,64.0,64.0 +33.0,3,2,18.0,66,5529456.0,53.0,4.0,81477.0,205.677,max_verstappen,33.0,Dutch,red_bull,Austrian,2020,6,Spanish Grand Prix,47400000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,1.0,135.0,2.0,1.0,77213.0,76518.0,76292.0,27,23,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,76292.0,77213.0,76674.33333333333,18,5,108,4,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,173.0,94.0,84.0,96.0,90.0 +4.0,8,10,1.0,65,,56.0,13.0,82392.0,203.393,norris,4.0,British,mclaren,British,2020,6,Spanish Grand Prix,47400000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,62.0,4.0,0.0,77577.0,77166.0,77084.0,25,21,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,77084.0,77577.0,77275.66666666667,20,1,27,1,0,1,0,2,0,0,0,1,0,0,0,1,0,0,0,0,0,97.0,89.0,78.0,80.0,79.0 +31.0,15,13,0.0,65,,65.0,10.0,82174.0,203.933,ocon,31.0,French,renault,French,2020,6,Spanish Grand Prix,47400000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,36.0,6.0,0.0,77765.0,77567.0,77567.0,28,24,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,77567.0,77765.0,77633.0,20,4,56,0,0,0,0,0,1,0,2,0,0,0,0,0,1,0,0,0,1,106.0,90.0,79.0,82.0,80.0 +11.0,4,5,10.0,65,,58.0,16.0,82515.0,203.09,perez,11.0,Mexican,racing_point,British,2020,6,Spanish Grand Prix,47400000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,63.0,3.0,0.0,77117.0,76936.0,76482.0,34,30,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,76482.0,77117.0,76845.0,21,9,182,0,0,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,221.0,91.0,80.0,86.0,85.0 +7.0,14,14,0.0,65,,47.0,7.0,81888.0,204.645,raikkonen,7.0,Finnish,alfa,Swiss,2020,6,Spanish Grand Prix,47400000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,2.0,8.0,0.0,77797.0,77386.0,77386.0,45,41,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,77386.0,77797.0,77523.0,27,14,234,0,0,0,0,0,0,0,0,0,0,1,0,0,1,2,0,1,0,317.0,84.0,91.0,83.0,87.0 +3.0,13,11,0.0,65,,51.0,14.0,82464.0,203.215,ricciardo,3.0,Australian,renault,French,2020,6,Spanish Grand Prix,47400000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,36.0,6.0,0.0,77667.0,77198.0,77198.0,35,31,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,77198.0,77667.0,77354.33333333333,22,9,177,0,0,0,1,0,0,0,2,0,0,0,0,0,1,0,0,0,0,212.0,90.0,86.0,90.0,87.0 +63.0,18,17,0.0,65,,37.0,15.0,82503.0,203.119,russell,63.0,British,williams,British,2020,6,Spanish Grand Prix,47400000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,0.0,10.0,0.0,78099.0,78099.0,78099.0,26,22,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,78099.0,78099.0,78099.0,21,1,27,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,1,0,2,97.0,73.0,78.0,80.0,75.0 +55.0,7,6,8.0,65,,59.0,5.0,81771.0,204.938,sainz,55.0,Spanish,mclaren,British,2020,6,Spanish Grand Prix,47400000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,62.0,4.0,0.0,77438.0,76876.0,77044.0,30,26,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,76876.0,77438.0,77119.33333333333,21,5,108,0,0,0,0,1,0,0,0,2,0,0,0,2,0,0,0,0,0,159.0,88.0,81.0,84.0,82.0 +18.0,5,4,12.0,65,,56.0,8.0,82024.0,204.306,stroll,18.0,Canadian,racing_point,British,2020,6,Spanish Grand Prix,47400000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,63.0,3.0,0.0,77316.0,76666.0,76589.0,26,22,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,76589.0,77316.0,76857.0,19,3,68,0,0,0,1,0,1,1,0,1,0,0,0,0,0,0,0,0,1,121.0,86.0,73.0,83.0,78.0 +5.0,11,7,6.0,65,,48.0,18.0,82707.0,202.618,vettel,5.0,German,ferrari,Italian,2020,6,Spanish Grand Prix,47400000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,61.0,5.0,0.0,77573.0,77168.0,77168.0,37,33,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,77168.0,77573.0,77303.0,20,13,247,0,0,0,0,0,1,0,0,0,2,0,1,0,0,0,0,0,0,269.0,89.0,91.0,94.0,89.0 +23.0,5,6,8.0,44,5091473.0,27.0,12.0,108736.0,231.886,albon,23.0,Thai,red_bull,Austrian,2020,7,Belgian Grand Prix,47400000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,158.0,2.0,1.0,103418.0,102193.0,102264.0,28,24,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,102193.0,103418.0,102625.0,23,1,28,0,0,0,1,2,0,0,2,0,0,0,0,1,0,0,0,0,0,97.0,87.0,78.0,83.0,79.0 +77.0,2,2,18.0,44,5057209.0,27.0,5.0,107983.0,233.503,bottas,77.0,Finnish,mercedes,German,2020,7,Belgian Grand Prix,47400000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,1.0,264.0,1.0,6.0,102534.0,102126.0,101763.0,35,31,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,101763.0,102534.0,102141.0,24,7,147,5,1,3,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,188.0,89.0,99.0,91.0,90.0 +10.0,12,8,4.0,44,5096132.0,29.0,3.0,107839.0,233.815,gasly,10.0,French,alphatauri,Italian,2020,7,Belgian Grand Prix,47400000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,20.0,7.0,0.0,103262.0,102745.0,102745.0,28,24,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,102745.0,103262.0,102917.33333333331,21,3,54,0,0,0,0,0,0,2,0,1,0,1,0,0,0,1,0,0,0,102.0,85.0,87.0,80.0,80.0 +8.0,17,15,0.0,44,5125554.0,28.0,17.0,110018.0,229.184,grosjean,8.0,French,haas,American,2020,7,Belgian Grand Prix,47400000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,1.0,9.0,0.0,103838.0,103838.0,103838.0,38,34,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,103838.0,103838.0,103838.0,23,11,173,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,4,0,0,207.0,81.0,77.0,83.0,80.0 +44.0,1,1,25.0,44,5048761.0,28.0,2.0,107758.0,233.99,hamilton,44.0,British,mercedes,German,2020,7,Belgian Grand Prix,47400000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,4.0,264.0,1.0,6.0,102323.0,102014.0,101252.0,39,35,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,101252.0,102323.0,101863.0,22,13,257,5,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,274.0,93.0,95.0,96.0,94.0 +20.0,20,17,0.0,44,5134301.0,37.0,7.0,108083.0,233.287,kevin_magnussen,20.0,Danish,haas,American,2020,7,Belgian Grand Prix,47400000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,1.0,9.0,0.0,104314.0,104314.0,104314.0,32,28,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,104314.0,104314.0,104314.0,22,6,110,0,0,0,0,0,0,0,0,0,1,0,1,0,0,1,0,1,0,159.0,79.0,73.0,83.0,78.0 +26.0,11,11,0.0,44,5118961.0,28.0,15.0,109832.0,229.572,kvyat,26.0,Russian,alphatauri,Italian,2020,7,Belgian Grand Prix,47400000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,20.0,7.0,0.0,103267.0,102730.0,102730.0,30,26,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,102730.0,103267.0,102909.0,20,6,102,0,0,0,0,0,0,0,0,0,2,0,3,0,0,0,0,0,1,150.0,86.0,74.0,85.0,80.0 +6.0,19,16,0.0,44,5126556.0,32.0,6.0,108048.0,233.362,latifi,6.0,Canadian,williams,British,2020,7,Belgian Grand Prix,47400000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,0.0,10.0,0.0,104138.0,104138.0,104138.0,29,25,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,104138.0,104138.0,104138.0,25,0,7,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,1,1,1.0,60.0,80.0,64.0,64.0 +16.0,13,14,0.0,44,5123681.0,26.0,4.0,107840.0,233.813,leclerc,16.0,Monegasque,ferrari,Italian,2020,7,Belgian Grand Prix,47400000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,61.0,5.0,0.0,103656.0,102996.0,102996.0,27,23,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,102996.0,103656.0,103216.0,21,2,49,2,1,1,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,116.0,92.0,82.0,93.0,86.0 +33.0,3,3,15.0,44,5064216.0,27.0,8.0,108305.0,232.809,max_verstappen,33.0,Dutch,red_bull,Austrian,2020,7,Belgian Grand Prix,47400000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,1.0,158.0,2.0,1.0,103197.0,102473.0,101778.0,27,23,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,101778.0,103197.0,102482.66666666669,18,5,109,5,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,173.0,94.0,84.0,96.0,90.0 +4.0,10,7,6.0,44,5092535.0,39.0,11.0,108552.0,232.279,norris,4.0,British,mclaren,British,2020,7,Belgian Grand Prix,47400000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,68.0,3.0,0.0,103514.0,102722.0,102657.0,25,21,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,102657.0,103514.0,102964.33333333331,20,1,28,1,0,1,0,2,0,0,0,1,1,0,0,1,0,0,0,0,0,97.0,89.0,78.0,80.0,79.0 +31.0,6,5,10.0,44,5089411.0,44.0,10.0,108540.0,232.305,ocon,31.0,French,renault,French,2020,7,Belgian Grand Prix,47400000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,59.0,6.0,0.0,103505.0,102534.0,102396.0,28,24,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,102396.0,103505.0,102811.66666666669,20,4,57,0,0,0,0,0,1,0,2,0,0,0,0,1,1,0,0,0,1,106.0,90.0,79.0,82.0,80.0 +11.0,8,10,1.0,44,5101940.0,20.0,9.0,108389.0,232.628,perez,11.0,Mexican,racing_point,British,2020,7,Belgian Grand Prix,47400000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,66.0,4.0,0.0,103349.0,102670.0,102532.0,34,30,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,102532.0,103349.0,102850.33333333331,21,9,183,0,0,0,0,1,2,1,0,0,0,0,0,0,0,0,0,0,0,221.0,91.0,80.0,86.0,85.0 +7.0,16,12,0.0,44,5120265.0,28.0,14.0,109822.0,229.593,raikkonen,7.0,Finnish,alfa,Swiss,2020,7,Belgian Grand Prix,47400000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,2.0,8.0,0.0,103743.0,103743.0,103743.0,45,41,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,103743.0,103743.0,103743.0,27,14,235,0,0,0,0,0,0,0,0,0,0,1,0,0,2,2,0,1,0,317.0,84.0,91.0,83.0,87.0 +3.0,4,4,13.0,44,5067638.0,44.0,1.0,107483.0,234.589,ricciardo,3.0,Australian,renault,French,2020,7,Belgian Grand Prix,47400000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,59.0,6.0,0.0,103309.0,102487.0,102061.0,35,31,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,102061.0,103309.0,102619.0,22,9,178,0,0,0,1,0,0,0,2,0,0,1,0,0,1,0,0,0,0,212.0,90.0,86.0,90.0,87.0 +18.0,9,9,2.0,44,5101364.0,34.0,13.0,109136.0,231.036,stroll,18.0,Canadian,racing_point,British,2020,7,Belgian Grand Prix,47400000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,66.0,4.0,0.0,103265.0,102491.0,102603.0,26,22,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,102491.0,103265.0,102786.33333333331,19,3,69,0,0,0,2,0,1,1,0,1,0,0,0,0,0,0,0,0,1,121.0,86.0,73.0,83.0,78.0 +5.0,14,13,0.0,44,5121655.0,31.0,16.0,109958.0,229.309,vettel,5.0,German,ferrari,Italian,2020,7,Belgian Grand Prix,47400000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,61.0,5.0,0.0,103567.0,103261.0,103261.0,37,33,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,7.004,44.0,308.052,103261.0,103567.0,103363.0,20,13,248,0,0,0,0,0,1,1,0,0,2,0,1,0,0,0,0,0,0,269.0,89.0,91.0,94.0,89.0 +23.0,9,15,0.0,53,6463589.0,48.0,15.0,84926.0,245.564,albon,23.0,Thai,red_bull,Austrian,2020,8,Italian Grand Prix,47400000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,158.0,2.0,1.0,81104.0,80064.0,80090.0,28,24,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,80064.0,81104.0,80419.33333333333,23,1,29,0,0,0,1,2,1,0,2,0,0,0,0,1,0,0,0,0,0,97.0,87.0,78.0,83.0,79.0 +77.0,2,5,10.0,53,6433164.0,51.0,5.0,83961.0,248.386,bottas,77.0,Finnish,mercedes,German,2020,8,Italian Grand Prix,47400000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,1.0,281.0,1.0,6.0,79786.0,78952.0,78956.0,35,31,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,78952.0,79786.0,79231.33333333333,24,7,148,6,2,3,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,188.0,89.0,99.0,91.0,90.0 +10.0,10,1,25.0,53,6426056.0,34.0,6.0,84037.0,248.162,gasly,10.0,French,alphatauri,Italian,2020,8,Italian Grand Prix,47400000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,47.0,7.0,1.0,80145.0,79909.0,80177.0,28,24,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,79909.0,80177.0,80077.0,21,3,55,0,0,0,0,0,0,2,1,1,0,1,0,0,0,1,0,0,0,102.0,85.0,87.0,80.0,80.0 +99.0,18,16,0.0,53,6481255.0,43.0,14.0,84856.0,245.766,giovinazzi,99.0,Italian,alfa,Swiss,2020,8,Italian Grand Prix,47400000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,2.0,8.0,0.0,81206.0,81206.0,81206.0,31,27,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,81206.0,81206.0,81206.0,24,3,31,0,0,0,0,0,0,0,0,1,0,0,0,0,2,0,1,2,1,73.0,83.0,70.0,79.0,73.0 +8.0,16,12,0.0,53,6461220.0,48.0,12.0,84785.0,245.972,grosjean,8.0,French,haas,American,2020,8,Italian Grand Prix,47400000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,1.0,9.0,0.0,81139.0,81139.0,81139.0,38,34,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,81139.0,81139.0,81139.0,23,11,174,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,4,0,0,207.0,81.0,77.0,83.0,80.0 +44.0,1,7,7.0,53,6443301.0,34.0,1.0,82746.0,252.033,hamilton,44.0,British,mercedes,German,2020,8,Italian Grand Prix,47400000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,5.0,281.0,1.0,6.0,79514.0,79092.0,78887.0,39,35,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,78887.0,79514.0,79164.33333333333,22,13,258,6,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,274.0,93.0,95.0,96.0,94.0 +26.0,11,9,2.0,53,6448264.0,44.0,10.0,84479.0,246.863,kvyat,26.0,Russian,alphatauri,Italian,2020,8,Italian Grand Prix,47400000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,47.0,7.0,1.0,80307.0,80169.0,80169.0,30,26,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,80169.0,80307.0,80215.0,20,6,103,0,0,0,0,0,0,0,0,0,2,1,3,0,0,0,0,0,1,150.0,86.0,74.0,85.0,80.0 +6.0,20,11,0.0,53,6458932.0,39.0,16.0,84999.0,245.353,latifi,6.0,Canadian,williams,British,2020,8,Italian Grand Prix,47400000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,0.0,10.0,0.0,81717.0,81717.0,81717.0,29,25,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,81717.0,81717.0,81717.0,25,0,8,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,1,1,1,1.0,60.0,80.0,64.0,64.0 +4.0,6,4,12.0,53,6432056.0,50.0,7.0,84232.0,247.587,norris,4.0,British,mclaren,British,2020,8,Italian Grand Prix,47400000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,98.0,3.0,0.0,80344.0,79962.0,79820.0,25,21,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,79820.0,80344.0,80042.0,20,1,29,1,0,1,0,2,0,1,0,1,1,0,0,1,0,0,0,0,0,97.0,89.0,78.0,80.0,79.0 +31.0,12,8,4.0,53,6444747.0,52.0,11.0,84490.0,246.831,ocon,31.0,French,renault,French,2020,8,Italian Grand Prix,47400000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,71.0,5.0,0.0,80747.0,80234.0,80234.0,28,24,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,80234.0,80747.0,80405.0,20,4,58,0,0,0,0,1,1,0,2,0,0,0,0,1,1,0,0,0,1,106.0,90.0,79.0,82.0,80.0 +11.0,4,10,1.0,53,6449280.0,50.0,8.0,84336.0,247.282,perez,11.0,Mexican,racing_point,British,2020,8,Italian Grand Prix,47400000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,82.0,4.0,0.0,80048.0,79718.0,79720.0,34,30,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,79718.0,80048.0,79828.66666666667,21,9,184,0,0,0,0,1,2,1,0,0,1,0,0,0,0,0,0,0,0,221.0,91.0,80.0,86.0,85.0 +7.0,14,13,0.0,53,6462368.0,29.0,13.0,84835.0,245.827,raikkonen,7.0,Finnish,alfa,Swiss,2020,8,Italian Grand Prix,47400000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,2.0,8.0,0.0,81010.0,80926.0,80926.0,45,41,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,80926.0,81010.0,80954.0,27,14,236,0,0,0,0,0,0,0,0,0,0,1,1,0,2,2,0,1,0,317.0,84.0,91.0,83.0,87.0 +3.0,7,6,8.0,53,6434447.0,38.0,4.0,83898.0,248.573,ricciardo,3.0,Australian,renault,French,2020,8,Italian Grand Prix,47400000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,71.0,5.0,0.0,80548.0,80031.0,79864.0,35,31,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,79864.0,80548.0,80147.66666666667,22,9,179,0,0,0,2,0,0,0,2,0,0,1,0,0,1,0,0,0,0,212.0,90.0,86.0,90.0,87.0 +63.0,19,14,0.0,53,6462649.0,39.0,9.0,84421.0,247.033,russell,63.0,British,williams,British,2020,8,Italian Grand Prix,47400000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,0.0,10.0,0.0,81587.0,81587.0,81587.0,26,22,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,81587.0,81587.0,81587.0,21,1,29,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,1,1,2,97.0,73.0,78.0,80.0,75.0 +55.0,3,2,18.0,53,6426471.0,40.0,2.0,83882.0,248.62,sainz,55.0,Spanish,mclaren,British,2020,8,Italian Grand Prix,47400000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,98.0,3.0,0.0,80099.0,79705.0,79695.0,30,26,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,79695.0,80099.0,79833.0,21,5,110,0,0,0,0,1,1,0,0,2,0,0,0,2,0,0,0,0,0,159.0,88.0,81.0,84.0,82.0 +18.0,8,3,15.0,53,6429414.0,42.0,3.0,83897.0,248.576,stroll,18.0,Canadian,racing_point,British,2020,8,Italian Grand Prix,47400000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,82.0,4.0,0.0,80400.0,79924.0,80049.0,26,22,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,79924.0,80400.0,80124.33333333333,19,3,70,0,0,0,2,0,1,1,0,2,0,0,0,0,0,0,0,0,1,121.0,86.0,73.0,83.0,78.0 +23.0,4,3,15.0,59,8383124.0,51.0,3.0,80039.0,235.909,albon,23.0,Thai,red_bull,Austrian,2020,9,Tuscan Grand Prix,47400000.0,mugello,Mugello,Italy,43.9975,11.3719,255.0,Finished,0.0,173.0,2.0,1.0,76527.0,75914.0,75954.0,28,24,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.245,59.0,309.497,75914.0,76527.0,76131.66666666667,23,1,30,0,0,0,1,2,1,0,2,0,0,0,0,1,0,1,0,0,0,97.0,87.0,78.0,83.0,79.0 +77.0,2,2,18.0,59,8379940.0,53.0,2.0,79432.0,237.712,bottas,77.0,Finnish,mercedes,German,2020,9,Tuscan Grand Prix,47400000.0,mugello,Mugello,Italy,43.9975,11.3719,255.0,Finished,1.0,325.0,1.0,7.0,75749.0,75322.0,75203.0,35,31,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.245,59.0,309.497,75203.0,75749.0,75424.66666666667,24,7,149,6,2,3,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,188.0,89.0,99.0,91.0,90.0 +8.0,15,12,0.0,59,8417096.0,59.0,13.0,82263.0,229.532,grosjean,8.0,French,haas,American,2020,9,Tuscan Grand Prix,47400000.0,mugello,Mugello,Italy,43.9975,11.3719,255.0,Finished,0.0,1.0,9.0,0.0,77069.0,77254.0,77254.0,38,34,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.245,59.0,309.497,77069.0,77254.0,77192.33333333333,23,11,175,0,0,0,0,0,0,0,0,0,0,0,1,1,0,1,4,0,0,207.0,81.0,77.0,83.0,80.0 +44.0,1,1,26.0,59,8375060.0,58.0,1.0,78833.0,239.518,hamilton,44.0,British,mercedes,German,2020,9,Tuscan Grand Prix,47400000.0,mugello,Mugello,Italy,43.9975,11.3719,255.0,Finished,5.0,325.0,1.0,7.0,75778.0,75309.0,75144.0,39,35,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.245,59.0,309.497,75144.0,75778.0,75410.33333333333,22,13,259,6,1,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,274.0,93.0,95.0,96.0,94.0 +26.0,12,7,6.0,59,8396816.0,51.0,10.0,81458.0,231.8,kvyat,26.0,Russian,alphatauri,Italian,2020,9,Tuscan Grand Prix,47400000.0,mugello,Mugello,Italy,43.9975,11.3719,255.0,Finished,0.0,53.0,7.0,1.0,76928.0,76854.0,76854.0,30,26,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.245,59.0,309.497,76854.0,76928.0,76878.66666666667,20,6,104,0,0,0,0,0,0,0,0,1,2,1,3,0,0,0,0,0,1,150.0,86.0,74.0,85.0,80.0 +16.0,5,8,4.0,59,8403405.0,50.0,9.0,81229.0,232.453,leclerc,16.0,Monegasque,ferrari,Italian,2020,9,Tuscan Grand Prix,47400000.0,mugello,Mugello,Italy,43.9975,11.3719,255.0,Finished,0.0,66.0,6.0,0.0,76698.0,76324.0,76270.0,27,23,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.245,59.0,309.497,76270.0,76698.0,76430.66666666667,21,2,51,2,1,1,1,0,0,0,0,0,0,1,0,0,1,0,0,0,1,116.0,92.0,82.0,93.0,86.0 +4.0,11,6,8.0,59,8393943.0,59.0,7.0,81198.0,232.542,norris,4.0,British,mclaren,British,2020,9,Tuscan Grand Prix,47400000.0,mugello,Mugello,Italy,43.9975,11.3719,255.0,Finished,0.0,106.0,3.0,0.0,76895.0,76640.0,76640.0,25,21,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.245,59.0,309.497,76640.0,76895.0,76725.0,20,1,30,1,0,1,1,2,0,1,0,1,1,0,0,1,0,0,0,0,0,97.0,89.0,78.0,80.0,79.0 +11.0,7,5,10.0,59,8390710.0,59.0,5.0,80632.0,234.175,perez,11.0,Mexican,racing_point,British,2020,9,Tuscan Grand Prix,47400000.0,mugello,Mugello,Italy,43.9975,11.3719,255.0,Finished,0.0,92.0,4.0,0.0,76596.0,76489.0,76311.0,34,30,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.245,59.0,309.497,76311.0,76596.0,76465.33333333333,21,9,185,0,0,0,0,1,2,1,0,0,2,0,0,0,0,0,0,0,0,221.0,91.0,80.0,86.0,85.0 +7.0,13,9,2.0,59,8404830.0,59.0,6.0,81164.0,232.64,raikkonen,7.0,Finnish,alfa,Swiss,2020,9,Tuscan Grand Prix,47400000.0,mugello,Mugello,Italy,43.9975,11.3719,255.0,Finished,0.0,4.0,8.0,0.0,77059.0,76854.0,76854.0,45,41,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.245,59.0,309.497,76854.0,77059.0,76922.33333333333,27,14,237,0,0,0,0,0,0,0,0,0,0,1,1,1,2,2,0,1,0,317.0,84.0,91.0,83.0,87.0 +3.0,8,4,12.0,59,8385477.0,57.0,4.0,80426.0,234.774,ricciardo,3.0,Australian,renault,French,2020,9,Tuscan Grand Prix,47400000.0,mugello,Mugello,Italy,43.9975,11.3719,255.0,Finished,0.0,83.0,5.0,0.0,76981.0,76243.0,76543.0,35,31,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.245,59.0,309.497,76243.0,76981.0,76589.0,22,9,180,0,0,0,2,0,1,0,2,0,0,1,0,0,1,0,0,0,0,212.0,90.0,86.0,90.0,87.0 +63.0,18,11,0.0,59,8407464.0,58.0,11.0,81645.0,231.269,russell,63.0,British,williams,British,2020,9,Tuscan Grand Prix,47400000.0,mugello,Mugello,Italy,43.9975,11.3719,255.0,Finished,0.0,0.0,10.0,0.0,77232.0,77232.0,77232.0,26,22,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.245,59.0,309.497,77232.0,77232.0,77232.0,21,1,30,0,0,0,0,0,0,0,0,0,0,0,1,0,1,1,1,1,2,97.0,73.0,78.0,80.0,75.0 +5.0,14,10,1.0,59,8405043.0,59.0,8.0,81202.0,232.531,vettel,5.0,German,ferrari,Italian,2020,9,Tuscan Grand Prix,47400000.0,mugello,Mugello,Italy,43.9975,11.3719,255.0,Finished,0.0,66.0,6.0,0.0,77072.0,76858.0,76858.0,37,33,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.245,59.0,309.497,76858.0,77072.0,76929.33333333333,20,13,250,0,0,0,0,0,1,1,0,0,2,0,1,1,0,0,0,0,0,269.0,89.0,91.0,94.0,89.0 +23.0,15,10,1.0,53,5738224.0,51.0,9.0,98377.0,214.001,albon,23.0,Thai,red_bull,Austrian,2020,10,Russian Grand Prix,40200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,0.0,192.0,2.0,1.0,93919.0,93153.0,93008.0,28,24,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.848,53.0,309.745,93008.0,93919.0,93360.0,23,1,31,1,0,1,1,2,1,0,2,0,0,0,0,1,0,1,0,0,0,97.0,87.0,78.0,83.0,79.0 +77.0,3,1,26.0,53,5640364.0,51.0,1.0,97030.0,216.972,bottas,77.0,Finnish,mercedes,German,2020,10,Russian Grand Prix,40200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,1.0,366.0,1.0,8.0,92656.0,92405.0,91956.0,35,31,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.848,53.0,309.745,91956.0,92656.0,92339.0,24,7,150,7,3,3,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,188.0,89.0,99.0,91.0,90.0 +10.0,9,9,2.0,53,5730130.0,50.0,2.0,97231.0,216.523,gasly,10.0,French,alphatauri,Italian,2020,10,Russian Grand Prix,40200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,1.0,59.0,7.0,1.0,93734.0,93139.0,93000.0,28,24,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.848,53.0,309.745,93000.0,93734.0,93291.0,21,3,57,1,0,0,0,0,0,2,1,1,0,1,0,0,0,1,0,0,0,102.0,85.0,87.0,80.0,80.0 +99.0,17,11,0.0,52,,44.0,16.0,99766.0,211.021,giovinazzi,99.0,Italian,alfa,Swiss,2020,10,Russian Grand Prix,40200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,+1 Lap,0.0,4.0,8.0,0.0,94594.0,94594.0,94594.0,31,27,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.848,53.0,309.745,94594.0,94594.0,94594.0,24,3,33,0,0,0,0,0,0,0,0,1,0,0,0,0,2,0,2,3,1,73.0,83.0,70.0,79.0,73.0 +8.0,16,17,0.0,52,,44.0,15.0,99614.0,211.343,grosjean,8.0,French,haas,American,2020,10,Russian Grand Prix,40200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,+1 Lap,0.0,1.0,9.0,0.0,94592.0,94592.0,94592.0,38,34,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.848,53.0,309.745,94592.0,94592.0,94592.0,23,11,176,0,0,0,0,0,0,0,0,0,0,0,2,1,0,1,4,0,0,207.0,81.0,77.0,83.0,80.0 +44.0,1,3,15.0,53,5663093.0,48.0,7.0,98075.0,214.66,hamilton,44.0,British,mercedes,German,2020,10,Russian Grand Prix,40200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,6.0,366.0,1.0,8.0,92983.0,92835.0,91304.0,39,35,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.848,53.0,309.745,91304.0,92983.0,92374.0,22,13,260,7,1,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,274.0,93.0,95.0,96.0,94.0 +20.0,18,12,0.0,52,,52.0,17.0,100380.0,209.731,kevin_magnussen,20.0,Danish,haas,American,2020,10,Russian Grand Prix,40200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,+1 Lap,0.0,1.0,9.0,0.0,94681.0,94681.0,94681.0,32,28,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.848,53.0,309.745,94681.0,94681.0,94681.0,22,6,113,0,0,0,0,0,0,0,0,0,1,0,1,0,0,1,1,2,0,159.0,79.0,73.0,83.0,78.0 +26.0,11,8,4.0,53,5709104.0,48.0,12.0,99133.0,212.369,kvyat,26.0,Russian,alphatauri,Italian,2020,10,Russian Grand Prix,40200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,0.0,59.0,7.0,1.0,93511.0,93249.0,93249.0,30,26,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.848,53.0,309.745,93249.0,93511.0,93336.33333333331,20,6,105,0,0,0,0,0,0,1,0,1,2,1,3,0,0,0,0,0,1,150.0,86.0,74.0,85.0,80.0 +6.0,20,16,0.0,52,,47.0,18.0,101044.0,208.352,latifi,6.0,Canadian,williams,British,2020,10,Russian Grand Prix,40200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,+1 Lap,0.0,0.0,10.0,0.0,95066.0,95066.0,95066.0,29,25,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.848,53.0,309.745,95066.0,95066.0,95066.0,25,0,10,0,0,0,0,0,0,0,0,0,0,2,0,0,0,2,1,1,1,1.0,60.0,80.0,64.0,64.0 +16.0,10,6,8.0,53,5702550.0,47.0,11.0,99053.0,212.54,leclerc,16.0,Monegasque,ferrari,Italian,2020,10,Russian Grand Prix,40200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,0.0,74.0,6.0,0.0,94071.0,93239.0,93239.0,27,23,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.848,53.0,309.745,93239.0,94071.0,93516.33333333331,21,2,52,2,1,1,1,0,0,0,1,0,0,1,0,0,1,0,0,0,1,116.0,92.0,82.0,93.0,86.0 +33.0,2,2,18.0,53,5648093.0,53.0,3.0,97332.0,216.298,max_verstappen,33.0,Dutch,red_bull,Austrian,2020,10,Russian Grand Prix,40200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,1.0,192.0,2.0,1.0,93630.0,93157.0,91867.0,27,23,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.848,53.0,309.745,91867.0,93630.0,92884.66666666669,18,5,112,6,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,173.0,94.0,84.0,96.0,90.0 +4.0,8,15,0.0,52,,50.0,5.0,97377.0,216.198,norris,4.0,British,mclaren,British,2020,10,Russian Grand Prix,40200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,+1 Lap,0.0,106.0,3.0,0.0,93804.0,93081.0,92847.0,25,21,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.848,53.0,309.745,92847.0,93804.0,93244.0,20,1,31,1,0,1,1,2,1,1,0,1,1,0,0,1,0,0,0,0,0,97.0,89.0,78.0,80.0,79.0 +31.0,7,7,6.0,53,5708370.0,48.0,13.0,99216.0,212.191,ocon,31.0,French,renault,French,2020,10,Russian Grand Prix,40200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,0.0,99.0,5.0,0.0,93557.0,93196.0,92624.0,28,24,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.848,53.0,309.745,92624.0,93557.0,93125.66666666669,20,4,60,0,0,0,0,1,1,0,3,0,0,0,0,1,2,0,0,0,1,106.0,90.0,79.0,82.0,80.0 +11.0,4,4,12.0,53,5670922.0,52.0,8.0,98141.0,214.515,perez,11.0,Mexican,racing_point,British,2020,10,Russian Grand Prix,40200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,0.0,104.0,4.0,0.0,93704.0,93038.0,92317.0,34,30,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.848,53.0,309.745,92317.0,93704.0,93019.66666666669,21,9,186,0,0,0,0,2,2,1,0,0,2,0,0,0,0,0,0,0,0,221.0,91.0,80.0,86.0,85.0 +7.0,19,14,0.0,52,,37.0,10.0,98858.0,212.96,raikkonen,7.0,Finnish,alfa,Swiss,2020,10,Russian Grand Prix,40200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,+1 Lap,0.0,4.0,8.0,0.0,95267.0,95267.0,95267.0,45,41,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.848,53.0,309.745,95267.0,95267.0,95267.0,27,14,238,0,0,0,0,0,0,0,0,1,0,1,1,1,2,2,0,1,0,317.0,84.0,91.0,83.0,87.0 +3.0,5,5,10.0,53,5692429.0,53.0,6.0,97886.0,215.074,ricciardo,3.0,Australian,renault,French,2020,10,Russian Grand Prix,40200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,0.0,99.0,5.0,0.0,93650.0,92218.0,92364.0,35,31,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.848,53.0,309.745,92218.0,93650.0,92744.0,22,9,181,0,0,0,3,0,1,0,2,0,0,1,0,0,1,0,0,0,0,212.0,90.0,86.0,90.0,87.0 +63.0,13,18,0.0,52,,52.0,4.0,97352.0,216.254,russell,63.0,British,williams,British,2020,10,Russian Grand Prix,40200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,+1 Lap,0.0,0.0,10.0,0.0,94020.0,93583.0,93583.0,26,22,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.848,53.0,309.745,93583.0,94020.0,93728.66666666669,21,1,31,0,0,0,0,0,0,0,0,0,0,1,1,0,1,1,1,1,2,97.0,73.0,78.0,80.0,75.0 +5.0,14,13,0.0,52,,46.0,14.0,99588.0,211.398,vettel,5.0,German,ferrari,Italian,2020,10,Russian Grand Prix,40200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,+1 Lap,0.0,74.0,6.0,0.0,94134.0,93609.0,93609.0,37,33,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.848,53.0,309.745,93609.0,94134.0,93784.0,20,13,251,0,0,0,0,0,1,1,0,0,3,0,1,1,0,0,0,0,0,269.0,89.0,91.0,94.0,89.0 +10.0,12,6,8.0,60,5772407.0,53.0,5.0,90110.0,205.668,gasly,10.0,French,alphatauri,Italian,2020,11,Eifel Grand Prix,47400000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,Finished,1.0,67.0,7.0,1.0,87072.0,86776.0,86776.0,28,24,"Partly cloudy, 10 °C (50 °F)",0,0,0,0,1,Race circuit,Clockwise,5.148,60.0,308.617,86776.0,87072.0,86874.66666666667,21,3,58,1,0,0,0,0,0,2,1,2,0,1,0,0,0,1,0,0,0,102.0,85.0,87.0,80.0,80.0 +99.0,14,10,1.0,60,5789676.0,38.0,12.0,90909.0,203.861,giovinazzi,99.0,Italian,alfa,Swiss,2020,11,Eifel Grand Prix,47400000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,Finished,0.0,5.0,8.0,0.0,87532.0,86936.0,86936.0,31,27,"Partly cloudy, 10 °C (50 °F)",0,0,0,0,1,Race circuit,Clockwise,5.148,60.0,308.617,86936.0,87532.0,87134.66666666667,24,3,34,0,0,0,0,0,0,0,0,1,0,1,0,0,2,0,2,3,1,73.0,83.0,70.0,79.0,73.0 +8.0,16,9,2.0,60,5788722.0,54.0,14.0,91562.0,202.407,grosjean,8.0,French,haas,American,2020,11,Eifel Grand Prix,47400000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,Finished,0.0,3.0,9.0,0.0,87552.0,87552.0,87552.0,38,34,"Partly cloudy, 10 °C (50 °F)",0,0,0,0,1,Race circuit,Clockwise,5.148,60.0,308.617,87552.0,87552.0,87552.0,23,11,177,0,0,0,0,0,0,0,0,0,0,0,2,1,0,1,4,1,0,207.0,81.0,77.0,83.0,80.0 +44.0,2,1,25.0,60,5749641.0,58.0,2.0,88145.0,210.253,hamilton,44.0,British,mercedes,German,2020,11,Eifel Grand Prix,47400000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,Finished,6.0,391.0,1.0,9.0,86620.0,85390.0,85525.0,39,35,"Partly cloudy, 10 °C (50 °F)",0,0,0,0,1,Race circuit,Clockwise,5.148,60.0,308.617,85390.0,86620.0,85845.0,22,13,261,8,1,1,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,274.0,93.0,95.0,96.0,94.0 +27.0,20,8,4.0,60,5782237.0,58.0,11.0,90733.0,204.256,hulkenberg,27.0,German,racing_point,British,2020,11,Eifel Grand Prix,47400000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,Finished,0.0,120.0,3.0,0.0,88021.0,88021.0,88021.0,37,33,"Partly cloudy, 10 °C (50 °F)",0,0,0,0,1,Race circuit,Clockwise,5.148,60.0,308.617,88021.0,88021.0,88021.0,23,10,182,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,179.0,87.0,90.0,88.0,87.0 +20.0,15,13,0.0,60,5799226.0,37.0,8.0,90456.0,204.881,kevin_magnussen,20.0,Danish,haas,American,2020,11,Eifel Grand Prix,47400000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,Finished,0.0,3.0,9.0,0.0,87231.0,87125.0,87125.0,32,28,"Partly cloudy, 10 °C (50 °F)",0,0,0,0,1,Race circuit,Clockwise,5.148,60.0,308.617,87125.0,87231.0,87160.33333333333,22,6,114,0,0,0,0,0,0,0,0,0,1,0,2,0,0,1,1,2,0,159.0,79.0,73.0,83.0,78.0 +26.0,13,15,0.0,60,5805229.0,41.0,16.0,92214.0,200.975,kvyat,26.0,Russian,alphatauri,Italian,2020,11,Eifel Grand Prix,47400000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,Finished,0.0,67.0,7.0,1.0,87285.0,86848.0,86848.0,30,26,"Partly cloudy, 10 °C (50 °F)",0,0,0,0,1,Race circuit,Clockwise,5.148,60.0,308.617,86848.0,87285.0,86993.66666666667,20,6,106,0,0,0,0,0,0,1,1,1,2,1,3,0,0,0,0,0,1,150.0,86.0,74.0,85.0,80.0 +6.0,18,14,0.0,60,5804090.0,39.0,13.0,91377.0,202.816,latifi,6.0,Canadian,williams,British,2020,11,Eifel Grand Prix,47400000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,Finished,0.0,0.0,10.0,0.0,87812.0,87812.0,87812.0,29,25,"Partly cloudy, 10 °C (50 °F)",0,0,0,0,1,Race circuit,Clockwise,5.148,60.0,308.617,87812.0,87812.0,87812.0,25,0,11,0,0,0,0,0,0,0,0,0,0,2,0,0,0,2,2,1,1,1.0,60.0,80.0,64.0,64.0 +16.0,4,7,6.0,60,5780455.0,54.0,10.0,90712.0,204.303,leclerc,16.0,Monegasque,ferrari,Italian,2020,11,Eifel Grand Prix,47400000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,Finished,0.0,80.0,6.0,0.0,86857.0,86240.0,86035.0,27,23,"Partly cloudy, 10 °C (50 °F)",0,0,0,0,1,Race circuit,Clockwise,5.148,60.0,308.617,86035.0,86857.0,86377.33333333333,21,2,53,2,1,1,1,0,1,0,1,0,0,1,0,0,1,0,0,0,1,116.0,92.0,82.0,93.0,86.0 +33.0,3,2,19.0,60,5754111.0,60.0,1.0,88139.0,210.267,max_verstappen,33.0,Dutch,red_bull,Austrian,2020,11,Eifel Grand Prix,47400000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,Finished,1.0,211.0,2.0,1.0,86319.0,85467.0,85562.0,27,23,"Partly cloudy, 10 °C (50 °F)",0,0,0,0,1,Race circuit,Clockwise,5.148,60.0,308.617,85467.0,86319.0,85782.66666666667,18,5,113,7,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,173.0,94.0,84.0,96.0,90.0 +11.0,9,4,12.0,60,5765711.0,58.0,4.0,89700.0,206.608,perez,11.0,Mexican,racing_point,British,2020,11,Eifel Grand Prix,47400000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,Finished,0.0,120.0,3.0,0.0,87120.0,86330.0,86704.0,34,30,"Partly cloudy, 10 °C (50 °F)",0,0,0,0,1,Race circuit,Clockwise,5.148,60.0,308.617,86330.0,87120.0,86718.0,21,9,187,0,0,0,1,2,2,1,0,0,2,0,0,0,0,0,0,0,0,221.0,91.0,80.0,86.0,85.0 +7.0,19,12,0.0,60,5791117.0,54.0,9.0,90512.0,204.755,raikkonen,7.0,Finnish,alfa,Swiss,2020,11,Eifel Grand Prix,47400000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,Finished,0.0,5.0,8.0,0.0,87817.0,87817.0,87817.0,45,41,"Partly cloudy, 10 °C (50 °F)",0,0,0,0,1,Race circuit,Clockwise,5.148,60.0,308.617,87817.0,87817.0,87817.0,27,14,239,0,0,0,0,0,0,0,0,1,0,1,1,1,3,2,0,1,0,317.0,84.0,91.0,83.0,87.0 +3.0,6,3,15.0,60,5764254.0,53.0,3.0,89584.0,206.876,ricciardo,3.0,Australian,renault,French,2020,11,Eifel Grand Prix,47400000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,Finished,0.0,114.0,5.0,0.0,86836.0,86096.0,86223.0,35,31,"Partly cloudy, 10 °C (50 °F)",0,0,0,0,1,Race circuit,Clockwise,5.148,60.0,308.617,86096.0,86836.0,86385.0,22,9,182,0,0,0,3,1,1,0,2,0,0,1,0,0,1,0,0,0,0,212.0,90.0,86.0,90.0,87.0 +55.0,10,5,10.0,60,5771546.0,53.0,6.0,90129.0,205.625,sainz,55.0,Spanish,mclaren,British,2020,11,Eifel Grand Prix,47400000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,Finished,0.0,116.0,4.0,0.0,87378.0,86361.0,86709.0,30,26,"Partly cloudy, 10 °C (50 °F)",0,0,0,0,1,Race circuit,Clockwise,5.148,60.0,308.617,86361.0,87378.0,86816.0,21,5,113,1,1,0,0,1,1,0,0,2,0,0,0,2,0,0,0,0,1,159.0,88.0,81.0,84.0,82.0 +5.0,11,11,0.0,60,5790451.0,43.0,7.0,90408.0,204.99,vettel,5.0,German,ferrari,Italian,2020,11,Eifel Grand Prix,47400000.0,nurburgring,Nürburg,Germany,50.3356,6.9475,578.0,Finished,0.0,80.0,6.0,0.0,87107.0,86738.0,86738.0,37,33,"Partly cloudy, 10 °C (50 °F)",0,0,0,0,1,Race circuit,Clockwise,5.148,60.0,308.617,86738.0,87107.0,86861.0,20,13,252,0,0,0,0,0,1,1,0,0,3,0,1,2,0,0,0,0,0,269.0,89.0,91.0,94.0,89.0 +23.0,6,12,0.0,65,,61.0,5.0,79890.0,209.673,albon,23.0,Thai,red_bull,Austrian,2020,12,Portuguese Grand Prix,43800000.0,portimao,Portimão,Portugal,37.227,-8.6267,108.0,+1 Lap,0.0,226.0,2.0,1.0,77435.0,77411.0,77437.0,28,24,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.653,66.0,306.826,77411.0,77437.0,77427.66666666667,23,1,33,1,0,1,1,2,1,0,2,0,1,0,0,1,0,1,0,1,0,97.0,87.0,78.0,83.0,79.0 +77.0,2,2,18.0,66,5422420.0,66.0,2.0,79345.0,211.113,bottas,77.0,Finnish,mercedes,German,2020,12,Portuguese Grand Prix,43800000.0,portimao,Portimão,Portugal,37.227,-8.6267,108.0,Finished,2.0,435.0,1.0,10.0,76945.0,76466.0,76754.0,35,31,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.653,66.0,306.826,76466.0,76945.0,76721.66666666667,24,7,152,8,3,3,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,188.0,89.0,99.0,91.0,90.0 +10.0,9,5,10.0,65,,65.0,9.0,80551.0,207.952,gasly,10.0,French,alphatauri,Italian,2020,12,Portuguese Grand Prix,43800000.0,portimao,Portimão,Portugal,37.227,-8.6267,108.0,+1 Lap,1.0,77.0,7.0,1.0,77209.0,77367.0,77803.0,28,24,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.653,66.0,306.826,77209.0,77803.0,77459.66666666667,21,3,59,1,0,0,0,0,1,2,1,2,0,1,0,0,0,1,0,0,0,102.0,85.0,87.0,80.0,80.0 +99.0,17,15,0.0,65,,46.0,20.0,81893.0,204.544,giovinazzi,99.0,Italian,alfa,Swiss,2020,12,Portuguese Grand Prix,43800000.0,portimao,Portimão,Portugal,37.227,-8.6267,108.0,+1 Lap,0.0,5.0,8.0,0.0,78323.0,78323.0,78323.0,31,27,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.653,66.0,306.826,78323.0,78323.0,78323.0,24,3,35,0,0,0,0,0,0,0,0,1,1,1,0,0,2,0,2,3,1,73.0,83.0,70.0,79.0,73.0 +8.0,18,17,0.0,65,,59.0,17.0,81664.0,205.118,grosjean,8.0,French,haas,American,2020,12,Portuguese Grand Prix,43800000.0,portimao,Portimão,Portugal,37.227,-8.6267,108.0,+1 Lap,0.0,3.0,9.0,0.0,78364.0,78364.0,78364.0,38,34,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.653,66.0,306.826,78364.0,78364.0,78364.0,23,11,178,0,0,0,0,0,0,0,0,1,0,0,2,1,0,1,4,1,0,207.0,81.0,77.0,83.0,80.0 +44.0,1,1,26.0,66,5396828.0,63.0,1.0,78750.0,212.708,hamilton,44.0,British,mercedes,German,2020,12,Portuguese Grand Prix,43800000.0,portimao,Portimão,Portugal,37.227,-8.6267,108.0,Finished,7.0,435.0,1.0,10.0,76828.0,76824.0,76652.0,39,35,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.653,66.0,306.826,76652.0,76828.0,76768.0,22,13,262,9,1,1,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,274.0,93.0,95.0,96.0,94.0 +20.0,19,16,0.0,65,,63.0,16.0,81460.0,205.632,kevin_magnussen,20.0,Danish,haas,American,2020,12,Portuguese Grand Prix,43800000.0,portimao,Portimão,Portugal,37.227,-8.6267,108.0,+1 Lap,0.0,3.0,9.0,0.0,78508.0,78508.0,78508.0,32,28,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.653,66.0,306.826,78508.0,78508.0,78508.0,22,6,115,0,0,0,0,0,0,0,0,0,1,0,2,1,0,1,1,2,0,159.0,79.0,73.0,83.0,78.0 +26.0,13,19,0.0,64,,59.0,8.0,80449.0,208.216,kvyat,26.0,Russian,alphatauri,Italian,2020,12,Portuguese Grand Prix,43800000.0,portimao,Portimão,Portugal,37.227,-8.6267,108.0,+2 Laps,0.0,77.0,7.0,1.0,77841.0,77728.0,77728.0,30,26,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.653,66.0,306.826,77728.0,77841.0,77765.66666666667,20,6,107,0,0,0,0,0,0,1,1,1,2,1,3,0,0,1,0,0,1,150.0,86.0,74.0,85.0,80.0 +6.0,20,18,0.0,64,,53.0,19.0,81859.0,204.629,latifi,6.0,Canadian,williams,British,2020,12,Portuguese Grand Prix,43800000.0,portimao,Portimão,Portugal,37.227,-8.6267,108.0,+2 Laps,0.0,0.0,10.0,0.0,78777.0,78777.0,78777.0,29,25,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.653,66.0,306.826,78777.0,78777.0,78777.0,25,0,12,0,0,0,0,0,0,0,0,0,0,2,0,0,1,2,2,1,1,1.0,60.0,80.0,64.0,64.0 +16.0,4,4,12.0,66,5462140.0,66.0,7.0,80408.0,208.322,leclerc,16.0,Monegasque,ferrari,Italian,2020,12,Portuguese Grand Prix,43800000.0,portimao,Portimão,Portugal,37.227,-8.6267,108.0,Finished,0.0,93.0,6.0,0.0,77421.0,77367.0,77090.0,27,23,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.653,66.0,306.826,77090.0,77421.0,77292.66666666667,21,2,54,2,1,1,1,0,1,1,1,0,0,1,0,0,1,0,0,0,1,116.0,92.0,82.0,93.0,86.0 +33.0,3,3,15.0,66,5431336.0,62.0,4.0,79854.0,209.767,max_verstappen,33.0,Dutch,red_bull,Austrian,2020,12,Portuguese Grand Prix,43800000.0,portimao,Portimão,Portugal,37.227,-8.6267,108.0,Finished,1.0,226.0,2.0,1.0,76879.0,77038.0,76904.0,27,23,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.653,66.0,306.826,76879.0,77038.0,76940.33333333333,18,5,114,8,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,173.0,94.0,84.0,96.0,90.0 +4.0,8,13,0.0,65,,65.0,3.0,79360.0,211.073,norris,4.0,British,mclaren,British,2020,12,Portuguese Grand Prix,43800000.0,portimao,Portimão,Portugal,37.227,-8.6267,108.0,+1 Lap,0.0,124.0,4.0,0.0,77547.0,77321.0,77525.0,25,21,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.653,66.0,306.826,77321.0,77547.0,77464.33333333333,20,1,33,1,0,1,1,2,1,1,0,1,1,0,0,1,0,1,1,0,0,97.0,89.0,78.0,80.0,79.0 +31.0,11,8,4.0,65,,61.0,12.0,80859.0,207.16,ocon,31.0,French,renault,French,2020,12,Portuguese Grand Prix,43800000.0,portimao,Portimão,Portugal,37.227,-8.6267,108.0,+1 Lap,0.0,120.0,5.0,0.0,77775.0,77614.0,77614.0,28,24,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.653,66.0,306.826,77614.0,77775.0,77667.66666666667,20,4,62,0,0,0,0,1,1,1,3,0,0,0,0,1,2,0,0,0,2,106.0,90.0,79.0,82.0,80.0 +11.0,5,7,6.0,65,,49.0,11.0,80802.0,207.306,perez,11.0,Mexican,racing_point,British,2020,12,Portuguese Grand Prix,43800000.0,portimao,Portimão,Portugal,37.227,-8.6267,108.0,+1 Lap,0.0,126.0,3.0,0.0,77370.0,77129.0,77223.0,34,30,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.653,66.0,306.826,77129.0,77370.0,77240.66666666667,21,9,188,0,0,0,2,2,2,1,0,0,2,0,0,0,0,0,0,0,0,221.0,91.0,80.0,86.0,85.0 +7.0,16,11,0.0,65,,60.0,15.0,81058.0,206.652,raikkonen,7.0,Finnish,alfa,Swiss,2020,12,Portuguese Grand Prix,43800000.0,portimao,Portimão,Portugal,37.227,-8.6267,108.0,+1 Lap,0.0,5.0,8.0,0.0,78201.0,78201.0,78201.0,45,41,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.653,66.0,306.826,78201.0,78201.0,78201.0,27,14,240,0,0,0,0,0,0,0,0,1,0,1,2,1,3,2,0,1,0,317.0,84.0,91.0,83.0,87.0 +3.0,10,9,2.0,65,,61.0,14.0,80906.0,207.04,ricciardo,3.0,Australian,renault,French,2020,12,Portuguese Grand Prix,43800000.0,portimao,Portimão,Portugal,37.227,-8.6267,108.0,+1 Lap,0.0,120.0,5.0,0.0,77621.0,77481.0,77481.0,35,31,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.653,66.0,306.826,77481.0,77621.0,77527.66666666667,22,9,183,1,0,1,3,1,1,0,2,0,0,1,0,0,1,0,0,0,0,212.0,90.0,86.0,90.0,87.0 +63.0,14,14,0.0,65,,62.0,13.0,80882.0,207.101,russell,63.0,British,williams,British,2020,12,Portuguese Grand Prix,43800000.0,portimao,Portimão,Portugal,37.227,-8.6267,108.0,+1 Lap,0.0,0.0,10.0,0.0,77931.0,77788.0,77788.0,26,22,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.653,66.0,306.826,77788.0,77931.0,77835.66666666667,21,1,33,0,0,0,0,0,0,0,0,0,0,1,1,0,1,1,1,1,3,97.0,73.0,78.0,80.0,75.0 +55.0,7,6,8.0,65,,65.0,6.0,80268.0,208.685,sainz,55.0,Spanish,mclaren,British,2020,12,Portuguese Grand Prix,43800000.0,portimao,Portimão,Portugal,37.227,-8.6267,108.0,+1 Lap,0.0,124.0,4.0,0.0,77627.0,77183.0,77520.0,30,26,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.653,66.0,306.826,77183.0,77627.0,77443.33333333333,21,5,114,1,1,0,0,2,1,0,0,2,0,0,0,2,0,0,0,0,1,159.0,88.0,81.0,84.0,82.0 +5.0,15,10,1.0,65,,62.0,10.0,80731.0,207.489,vettel,5.0,German,ferrari,Italian,2020,12,Portuguese Grand Prix,43800000.0,portimao,Portimão,Portugal,37.227,-8.6267,108.0,+1 Lap,0.0,93.0,6.0,0.0,77446.0,77919.0,77919.0,37,33,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.653,66.0,306.826,77446.0,77919.0,77761.33333333333,20,13,253,0,0,0,0,0,1,1,0,0,3,1,1,2,0,0,0,0,0,269.0,89.0,91.0,94.0,89.0 +23.0,6,15,0.0,63,5369714.0,63.0,3.0,76177.0,231.991,albon,23.0,Thai,red_bull,Austrian,2020,13,Emilia Romagna Grand Prix,43800000.0,imola,Imola,Italy,44.3439,11.7167,37.0,Finished,0.0,226.0,2.0,1.0,75402.0,74745.0,74572.0,28,24,Partly cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,4.909,63.0,309.049,74572.0,75402.0,74906.33333333333,23,1,34,1,0,1,1,2,1,0,2,0,1,0,1,1,0,1,0,1,0,97.0,87.0,78.0,83.0,79.0 +77.0,1,2,18.0,63,5318213.0,63.0,2.0,75902.0,232.831,bottas,77.0,Finnish,mercedes,German,2020,13,Emilia Romagna Grand Prix,43800000.0,imola,Imola,Italy,44.3439,11.7167,37.0,Finished,2.0,479.0,1.0,11.0,74221.0,74585.0,73609.0,35,31,Partly cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,4.909,63.0,309.049,73609.0,74585.0,74138.33333333333,24,7,153,9,4,3,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,188.0,89.0,99.0,91.0,90.0 +99.0,20,10,1.0,63,5338828.0,61.0,15.0,78794.0,224.286,giovinazzi,99.0,Italian,alfa,Swiss,2020,13,Emilia Romagna Grand Prix,43800000.0,imola,Imola,Italy,44.3439,11.7167,37.0,Finished,0.0,8.0,8.0,0.0,76208.0,76208.0,76208.0,31,27,Partly cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,4.909,63.0,309.049,76208.0,76208.0,76208.0,24,3,36,0,0,0,0,0,0,0,0,1,1,1,0,0,2,1,2,3,1,73.0,83.0,70.0,79.0,73.0 +8.0,16,14,0.0,63,5345365.0,45.0,17.0,78822.0,224.206,grosjean,8.0,French,haas,American,2020,13,Emilia Romagna Grand Prix,43800000.0,imola,Imola,Italy,44.3439,11.7167,37.0,Finished,0.0,3.0,9.0,0.0,75918.0,75918.0,75918.0,38,34,Partly cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,4.909,63.0,309.049,75918.0,75918.0,75918.0,23,11,179,0,0,0,0,0,0,0,0,1,0,0,2,1,0,1,4,2,0,207.0,81.0,77.0,83.0,80.0 +44.0,2,1,26.0,63,5312430.0,63.0,1.0,75484.0,234.121,hamilton,44.0,British,mercedes,German,2020,13,Emilia Romagna Grand Prix,43800000.0,imola,Imola,Italy,44.3439,11.7167,37.0,Finished,8.0,479.0,1.0,11.0,74229.0,74643.0,73706.0,39,35,Partly cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,4.909,63.0,309.049,73706.0,74643.0,74192.66666666667,22,13,263,10,1,1,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,274.0,93.0,95.0,96.0,94.0 +26.0,8,4,12.0,63,5327571.0,62.0,6.0,77666.0,227.543,kvyat,26.0,Russian,alphatauri,Italian,2020,13,Emilia Romagna Grand Prix,43800000.0,imola,Imola,Italy,44.3439,11.7167,37.0,Finished,0.0,89.0,7.0,1.0,75412.0,75022.0,74696.0,30,26,Partly cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,4.909,63.0,309.049,74696.0,75412.0,75043.33333333333,20,6,108,0,0,0,0,0,0,1,1,1,2,1,3,0,0,1,0,0,1,150.0,86.0,74.0,85.0,80.0 +6.0,19,11,0.0,63,5339565.0,37.0,14.0,78719.0,224.499,latifi,6.0,Canadian,williams,British,2020,13,Emilia Romagna Grand Prix,43800000.0,imola,Imola,Italy,44.3439,11.7167,37.0,Finished,0.0,0.0,10.0,0.0,75987.0,75987.0,75987.0,29,25,Partly cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,4.909,63.0,309.049,75987.0,75987.0,75987.0,25,0,13,0,0,0,0,0,0,0,0,0,0,2,0,0,1,2,2,1,2,1.0,60.0,80.0,64.0,64.0 +16.0,7,5,10.0,63,5331541.0,62.0,12.0,78173.0,226.067,leclerc,16.0,Monegasque,ferrari,Italian,2020,13,Emilia Romagna Grand Prix,43800000.0,imola,Imola,Italy,44.3439,11.7167,37.0,Finished,0.0,103.0,6.0,0.0,75123.0,75017.0,74616.0,27,23,Partly cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,4.909,63.0,309.049,74616.0,75123.0,74918.66666666667,21,2,55,2,1,1,2,0,1,1,1,0,0,1,0,0,1,0,0,0,1,116.0,92.0,82.0,93.0,86.0 +4.0,9,8,4.0,63,5333561.0,63.0,8.0,78069.0,226.368,norris,4.0,British,mclaren,British,2020,13,Emilia Romagna Grand Prix,43800000.0,imola,Imola,Italy,44.3439,11.7167,37.0,Finished,0.0,134.0,4.0,0.0,75274.0,75051.0,74814.0,25,21,Partly cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,4.909,63.0,309.049,74814.0,75274.0,75046.33333333333,20,1,34,1,0,1,1,2,1,1,0,1,1,0,0,2,0,1,1,0,0,97.0,89.0,78.0,80.0,79.0 +11.0,11,6,8.0,63,5332082.0,49.0,9.0,78084.0,226.325,perez,11.0,Mexican,racing_point,British,2020,13,Emilia Romagna Grand Prix,43800000.0,imola,Imola,Italy,44.3439,11.7167,37.0,Finished,0.0,134.0,5.0,0.0,75407.0,75061.0,75061.0,34,30,Partly cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,4.909,63.0,309.049,75061.0,75407.0,75176.33333333333,21,9,189,0,0,0,2,2,2,2,0,0,2,0,0,0,0,0,0,0,0,221.0,91.0,80.0,86.0,85.0 +7.0,18,9,2.0,63,5334654.0,63.0,10.0,78088.0,226.313,raikkonen,7.0,Finnish,alfa,Swiss,2020,13,Emilia Romagna Grand Prix,43800000.0,imola,Imola,Italy,44.3439,11.7167,37.0,Finished,0.0,8.0,8.0,0.0,75953.0,75953.0,75953.0,45,41,Partly cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,4.909,63.0,309.049,75953.0,75953.0,75953.0,27,14,241,0,0,0,0,0,0,0,0,1,0,2,2,1,3,2,0,1,0,317.0,84.0,91.0,83.0,87.0 +3.0,5,3,15.0,63,5326750.0,62.0,4.0,77552.0,227.878,ricciardo,3.0,Australian,renault,French,2020,13,Emilia Romagna Grand Prix,43800000.0,imola,Imola,Italy,44.3439,11.7167,37.0,Finished,0.0,135.0,3.0,0.0,75474.0,74953.0,74520.0,35,31,Partly cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,4.909,63.0,309.049,74520.0,75474.0,74982.33333333333,22,9,184,1,0,1,3,1,1,0,2,1,0,1,0,0,1,0,0,0,0,212.0,90.0,86.0,90.0,87.0 +55.0,10,7,6.0,63,5332660.0,62.0,11.0,78118.0,226.226,sainz,55.0,Spanish,mclaren,British,2020,13,Emilia Romagna Grand Prix,43800000.0,imola,Imola,Italy,44.3439,11.7167,37.0,Finished,0.0,134.0,4.0,0.0,75528.0,75027.0,74911.0,30,26,Partly cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,4.909,63.0,309.049,74911.0,75528.0,75155.33333333333,21,5,115,1,1,0,0,2,2,0,0,2,0,0,0,2,0,0,0,0,1,159.0,88.0,81.0,84.0,82.0 +18.0,15,13,0.0,63,5341593.0,46.0,13.0,78360.0,225.528,stroll,18.0,Canadian,racing_point,British,2020,13,Emilia Romagna Grand Prix,43800000.0,imola,Imola,Italy,44.3439,11.7167,37.0,Finished,0.0,134.0,5.0,0.0,75822.0,75494.0,75494.0,26,22,Partly cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,4.909,63.0,309.049,75494.0,75822.0,75603.33333333333,19,3,74,1,0,1,2,0,1,1,0,2,0,0,0,1,0,0,0,0,1,121.0,86.0,73.0,83.0,78.0 +5.0,14,12,0.0,63,5340883.0,44.0,7.0,77767.0,227.248,vettel,5.0,German,ferrari,Italian,2020,13,Emilia Romagna Grand Prix,43800000.0,imola,Imola,Italy,44.3439,11.7167,37.0,Finished,0.0,103.0,6.0,0.0,75571.0,75385.0,75385.0,37,33,Partly cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,4.909,63.0,309.049,75385.0,75571.0,75447.0,20,13,254,0,0,0,0,0,1,1,0,0,4,1,1,2,0,0,0,0,0,269.0,89.0,91.0,94.0,89.0 +23.0,4,7,6.0,58,6185797.0,54.0,5.0,99099.0,193.915,albon,23.0,Thai,red_bull,Austrian,2020,14,Turkish Grand Prix,36600000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,0.0,240.0,2.0,1.0,119431.0,112282.0,110448.0,28,24,Overcast. Wet and drying track. Air: 11–14 °C (52–57 °F); Track: 14–17 °C (57–63 °F),0,0,1,1,1,Race circuit,Anti-clockwise,5.338,58.0,309.396,110448.0,119431.0,114053.66666666669,23,1,35,1,0,1,1,2,1,0,2,0,1,0,1,1,0,2,0,1,0,97.0,87.0,78.0,83.0,79.0 +77.0,9,14,0.0,57,,57.0,2.0,98193.0,195.704,bottas,77.0,Finnish,mercedes,German,2020,14,Turkish Grand Prix,36600000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,+1 Lap,2.0,504.0,1.0,12.0,127001.0,113767.0,113258.0,35,31,Overcast. Wet and drying track. Air: 11–14 °C (52–57 °F); Track: 14–17 °C (57–63 °F),0,0,1,1,1,Race circuit,Anti-clockwise,5.338,58.0,309.396,113258.0,127001.0,118008.66666666669,24,7,154,10,5,3,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,188.0,89.0,99.0,91.0,90.0 +10.0,19,13,0.0,57,,53.0,7.0,99586.0,192.966,gasly,10.0,French,alphatauri,Italian,2020,14,Turkish Grand Prix,36600000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,+1 Lap,1.0,89.0,7.0,1.0,125579.0,118556.0,118556.0,28,24,Overcast. Wet and drying track. Air: 11–14 °C (52–57 °F); Track: 14–17 °C (57–63 °F),0,0,1,1,1,Race circuit,Anti-clockwise,5.338,58.0,309.396,118556.0,125579.0,120897.0,21,3,61,1,0,0,0,1,1,2,1,2,0,1,0,0,0,1,0,0,0,102.0,85.0,87.0,80.0,80.0 +44.0,6,1,25.0,58,6139313.0,56.0,6.0,99413.0,193.302,hamilton,44.0,British,mercedes,German,2020,14,Turkish Grand Prix,36600000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,9.0,504.0,1.0,12.0,127599.0,112709.0,112560.0,39,35,Overcast. Wet and drying track. Air: 11–14 °C (52–57 °F); Track: 14–17 °C (57–63 °F),0,0,1,1,1,Race circuit,Anti-clockwise,5.338,58.0,309.396,112560.0,127599.0,117622.66666666669,22,13,264,11,1,1,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,274.0,93.0,95.0,96.0,94.0 +26.0,16,12,0.0,57,,53.0,17.0,101019.0,190.229,kvyat,26.0,Russian,alphatauri,Italian,2020,14,Turkish Grand Prix,36600000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,+1 Lap,0.0,89.0,7.0,1.0,129070.0,129070.0,129070.0,30,26,Overcast. Wet and drying track. Air: 11–14 °C (52–57 °F); Track: 14–17 °C (57–63 °F),0,0,1,1,1,Race circuit,Anti-clockwise,5.338,58.0,309.396,129070.0,129070.0,129070.0,20,6,109,0,0,0,1,0,0,1,1,1,2,1,3,0,0,1,0,0,1,150.0,86.0,74.0,85.0,80.0 +16.0,12,4,12.0,58,6173171.0,47.0,11.0,99961.0,192.242,leclerc,16.0,Monegasque,ferrari,Italian,2020,14,Turkish Grand Prix,36600000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,0.0,130.0,6.0,0.0,124464.0,116696.0,116696.0,27,23,Overcast. Wet and drying track. Air: 11–14 °C (52–57 °F); Track: 14–17 °C (57–63 °F),0,0,1,1,1,Race circuit,Anti-clockwise,5.338,58.0,309.396,116696.0,124464.0,119285.33333333331,21,2,56,2,1,1,2,1,1,1,1,0,0,1,0,0,1,0,0,0,1,116.0,92.0,82.0,93.0,86.0 +33.0,2,6,8.0,58,6184186.0,53.0,3.0,98431.0,195.231,max_verstappen,33.0,Dutch,red_bull,Austrian,2020,14,Turkish Grand Prix,36600000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,1.0,240.0,2.0,1.0,117485.0,110293.0,108055.0,27,23,Overcast. Wet and drying track. Air: 11–14 °C (52–57 °F); Track: 14–17 °C (57–63 °F),0,0,1,1,1,Race circuit,Anti-clockwise,5.338,58.0,309.396,108055.0,117485.0,111944.33333333331,18,5,116,9,5,3,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,173.0,94.0,84.0,96.0,90.0 +4.0,14,8,5.0,58,6200572.0,58.0,1.0,96806.0,198.508,norris,4.0,British,mclaren,British,2020,14,Turkish Grand Prix,36600000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,0.0,149.0,4.0,0.0,127167.0,114945.0,114945.0,25,21,Overcast. Wet and drying track. Air: 11–14 °C (52–57 °F); Track: 14–17 °C (57–63 °F),0,0,1,1,1,Race circuit,Anti-clockwise,5.338,58.0,309.396,114945.0,127167.0,119019.0,20,1,35,1,0,1,1,2,1,1,1,1,1,0,0,2,0,1,1,0,0,97.0,89.0,78.0,80.0,79.0 +31.0,7,11,0.0,57,,55.0,16.0,101006.0,190.254,ocon,31.0,French,renault,French,2020,14,Turkish Grand Prix,36600000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,+1 Lap,0.0,136.0,5.0,0.0,126115.0,113657.0,112622.0,28,24,Overcast. Wet and drying track. Air: 11–14 °C (52–57 °F); Track: 14–17 °C (57–63 °F),0,0,1,1,1,Race circuit,Anti-clockwise,5.338,58.0,309.396,112622.0,126115.0,117464.66666666669,20,4,64,0,0,0,0,1,1,1,4,0,0,0,0,1,2,0,0,0,2,106.0,90.0,79.0,82.0,80.0 +11.0,3,2,18.0,58,6170946.0,50.0,12.0,100392.0,191.417,perez,11.0,Mexican,racing_point,British,2020,14,Turkish Grand Prix,36600000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,0.0,154.0,3.0,0.0,127614.0,114097.0,109321.0,34,30,Overcast. Wet and drying track. Air: 11–14 °C (52–57 °F); Track: 14–17 °C (57–63 °F),0,0,1,1,1,Race circuit,Anti-clockwise,5.338,58.0,309.396,109321.0,127614.0,117010.66666666669,21,9,190,0,0,0,2,2,3,2,0,0,2,0,0,0,0,0,0,0,0,221.0,91.0,80.0,86.0,85.0 +7.0,8,15,0.0,57,,57.0,9.0,99743.0,192.663,raikkonen,7.0,Finnish,alfa,Swiss,2020,14,Turkish Grand Prix,36600000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,+1 Lap,0.0,8.0,8.0,0.0,121249.0,113793.0,112745.0,45,41,Overcast. Wet and drying track. Air: 11–14 °C (52–57 °F); Track: 14–17 °C (57–63 °F),0,0,1,1,1,Race circuit,Anti-clockwise,5.338,58.0,309.396,112745.0,121249.0,115929.0,27,14,242,0,0,0,0,0,0,0,0,2,0,2,2,1,3,2,0,1,0,317.0,84.0,91.0,83.0,87.0 +3.0,5,10,1.0,58,6234773.0,54.0,13.0,100677.0,190.875,ricciardo,3.0,Australian,renault,French,2020,14,Turkish Grand Prix,36600000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,0.0,136.0,5.0,0.0,125598.0,114278.0,111595.0,35,31,Overcast. Wet and drying track. Air: 11–14 °C (52–57 °F); Track: 14–17 °C (57–63 °F),0,0,1,1,1,Race circuit,Anti-clockwise,5.338,58.0,309.396,111595.0,125598.0,117157.0,22,9,185,2,0,2,3,1,1,0,2,1,0,1,0,0,1,0,0,0,0,212.0,90.0,86.0,90.0,87.0 +63.0,20,16,0.0,57,,51.0,14.0,100814.0,190.616,russell,63.0,British,williams,British,2020,14,Turkish Grand Prix,36600000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,+1 Lap,0.0,0.0,10.0,0.0,130017.0,130017.0,130017.0,26,22,Overcast. Wet and drying track. Air: 11–14 °C (52–57 °F); Track: 14–17 °C (57–63 °F),0,0,1,1,1,Race circuit,Anti-clockwise,5.338,58.0,309.396,130017.0,130017.0,130017.0,21,1,35,0,0,0,0,0,0,0,0,0,0,1,1,0,2,1,2,1,3,97.0,73.0,78.0,80.0,75.0 +55.0,15,5,10.0,58,6173676.0,56.0,4.0,98754.0,194.592,sainz,55.0,Spanish,mclaren,British,2020,14,Turkish Grand Prix,36600000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,0.0,149.0,4.0,0.0,127489.0,115410.0,115410.0,30,26,Overcast. Wet and drying track. Air: 11–14 °C (52–57 °F); Track: 14–17 °C (57–63 °F),0,0,1,1,1,Race circuit,Anti-clockwise,5.338,58.0,309.396,115410.0,127489.0,119436.33333333331,21,5,116,1,1,0,0,2,2,1,0,2,0,0,0,2,0,0,0,0,1,159.0,88.0,81.0,84.0,82.0 +18.0,1,9,2.0,58,6211666.0,55.0,10.0,99921.0,192.319,stroll,18.0,Canadian,racing_point,British,2020,14,Turkish Grand Prix,36600000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,0.0,154.0,3.0,0.0,127467.0,113372.0,107765.0,26,22,Overcast. Wet and drying track. Air: 11–14 °C (52–57 °F); Track: 14–17 °C (57–63 °F),0,0,1,1,1,Race circuit,Anti-clockwise,5.338,58.0,309.396,107765.0,127467.0,116201.33333333331,19,3,75,1,0,1,2,0,1,1,0,2,0,0,0,2,0,0,0,0,1,121.0,86.0,73.0,83.0,78.0 +5.0,11,3,15.0,58,6171273.0,53.0,8.0,99662.0,192.819,vettel,5.0,German,ferrari,Italian,2020,14,Turkish Grand Prix,36600000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,0.0,130.0,6.0,0.0,123356.0,115169.0,115169.0,37,33,Overcast. Wet and drying track. Air: 11–14 °C (52–57 °F); Track: 14–17 °C (57–63 °F),0,0,1,1,1,Race circuit,Anti-clockwise,5.338,58.0,309.396,115169.0,123356.0,117898.0,20,13,255,0,0,0,0,0,1,1,0,0,4,1,2,2,0,0,0,0,0,269.0,89.0,91.0,94.0,89.0 +23.0,4,3,15.0,57,10795520.0,41.0,10.0,93684.0,207.967,albon,23.0,Thai,red_bull,Austrian,2020,15,Bahrain Grand Prix,51000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,274.0,2.0,1.0,88732.0,88749.0,88274.0,28,24,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,88274.0,88749.0,88585.0,23,1,36,1,0,1,1,2,1,1,2,0,1,0,1,1,0,2,0,1,0,97.0,87.0,78.0,83.0,79.0 +77.0,2,8,4.0,57,10807195.0,28.0,4.0,93352.0,208.706,bottas,77.0,Finnish,mercedes,German,2020,15,Bahrain Grand Prix,51000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,2.0,533.0,1.0,13.0,88767.0,88063.0,87553.0,35,31,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,87553.0,88767.0,88127.66666666667,24,7,155,10,5,3,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,188.0,89.0,99.0,91.0,90.0 +10.0,8,6,8.0,57,10799457.0,48.0,16.0,94817.0,205.482,gasly,10.0,French,alphatauri,Italian,2020,15,Bahrain Grand Prix,51000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,1.0,97.0,7.0,1.0,88971.0,89008.0,88448.0,28,24,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,88448.0,89008.0,88809.0,21,3,62,1,0,0,0,1,1,2,1,2,0,1,0,1,0,1,0,0,0,102.0,85.0,87.0,80.0,80.0 +99.0,16,16,0.0,56,,22.0,14.0,94536.0,206.092,giovinazzi,99.0,Italian,alfa,Swiss,2020,15,Bahrain Grand Prix,51000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,8.0,8.0,0.0,89491.0,89491.0,89491.0,31,27,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,89491.0,89491.0,89491.0,24,3,38,0,0,0,0,0,0,0,0,1,2,1,0,0,2,1,2,3,1,73.0,83.0,70.0,79.0,73.0 +44.0,1,1,25.0,57,10787515.0,38.0,3.0,92864.0,209.803,hamilton,44.0,British,mercedes,German,2020,15,Bahrain Grand Prix,51000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,10.0,533.0,1.0,13.0,88343.0,87586.0,87264.0,39,35,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,87264.0,88343.0,87731.0,22,13,265,12,1,1,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,274.0,93.0,95.0,96.0,94.0 +20.0,18,17,0.0,56,,29.0,18.0,95241.0,204.567,kevin_magnussen,20.0,Danish,haas,American,2020,15,Bahrain Grand Prix,51000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,3.0,9.0,0.0,90111.0,90111.0,90111.0,32,28,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,90111.0,90111.0,90111.0,22,6,118,0,0,0,0,0,0,0,0,0,1,0,2,1,0,1,2,3,1,159.0,79.0,73.0,83.0,78.0 +26.0,10,11,0.0,56,,35.0,12.0,94141.0,206.957,kvyat,26.0,Russian,alphatauri,Italian,2020,15,Bahrain Grand Prix,51000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,97.0,7.0,1.0,89158.0,88944.0,88618.0,30,26,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,88618.0,89158.0,88906.66666666667,20,6,110,0,0,0,1,0,0,1,1,1,2,1,4,0,0,1,0,0,1,150.0,86.0,74.0,85.0,80.0 +6.0,20,14,0.0,56,,39.0,15.0,94591.0,205.973,latifi,6.0,Canadian,williams,British,2020,15,Bahrain Grand Prix,51000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,0.0,10.0,0.0,90182.0,90182.0,90182.0,29,25,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,90182.0,90182.0,90182.0,25,0,15,0,0,0,0,0,0,0,0,0,0,3,0,0,1,2,2,1,2,1.0,60.0,80.0,64.0,64.0 +16.0,12,10,1.0,56,,44.0,8.0,93625.0,208.098,leclerc,16.0,Monegasque,ferrari,Italian,2020,15,Bahrain Grand Prix,51000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,131.0,6.0,0.0,89137.0,89165.0,89165.0,27,23,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,89137.0,89165.0,89155.66666666667,21,2,57,2,1,1,3,1,1,1,1,0,0,1,0,0,1,0,0,0,1,116.0,92.0,82.0,93.0,86.0 +33.0,3,2,19.0,57,10788769.0,48.0,1.0,92014.0,211.741,max_verstappen,33.0,Dutch,red_bull,Austrian,2020,15,Bahrain Grand Prix,51000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,1.0,274.0,2.0,1.0,88885.0,88025.0,87678.0,27,23,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,87678.0,88885.0,88196.0,18,5,117,9,5,3,0,0,1,0,0,0,0,0,0,0,0,0,0,2,0,173.0,94.0,84.0,96.0,90.0 +4.0,9,4,12.0,57,10798852.0,53.0,7.0,93588.0,208.18,norris,4.0,British,mclaren,British,2020,15,Bahrain Grand Prix,51000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,171.0,3.0,0.0,89464.0,88877.0,88542.0,25,21,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,88542.0,89464.0,88961.0,20,1,36,1,0,1,1,2,1,1,2,1,1,0,0,2,0,1,1,0,0,97.0,89.0,78.0,80.0,79.0 +31.0,7,9,2.0,57,10810318.0,37.0,13.0,94354.0,206.49,ocon,31.0,French,renault,French,2020,15,Bahrain Grand Prix,51000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,144.0,5.0,0.0,89203.0,88937.0,88419.0,28,24,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,88419.0,89203.0,88853.0,20,4,65,0,0,0,0,1,1,1,4,0,0,1,0,1,2,0,0,0,2,106.0,90.0,79.0,82.0,80.0 +7.0,17,15,0.0,56,,43.0,6.0,93573.0,208.213,raikkonen,7.0,Finnish,alfa,Swiss,2020,15,Bahrain Grand Prix,51000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,8.0,8.0,0.0,89810.0,89810.0,89810.0,45,41,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,89810.0,89810.0,89810.0,27,14,243,0,0,0,0,0,0,0,0,2,0,2,2,1,3,3,0,1,0,317.0,84.0,91.0,83.0,87.0 +3.0,6,7,6.0,57,10806883.0,38.0,2.0,92827.0,209.887,ricciardo,3.0,Australian,renault,French,2020,15,Bahrain Grand Prix,51000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,144.0,5.0,0.0,89005.0,88648.0,88417.0,35,31,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,88417.0,89005.0,88690.0,22,9,186,2,0,2,3,1,1,0,2,1,1,1,0,0,1,0,0,0,0,212.0,90.0,86.0,90.0,87.0 +63.0,14,12,0.0,56,,47.0,17.0,95042.0,204.995,russell,63.0,British,williams,British,2020,15,Bahrain Grand Prix,51000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,0.0,10.0,0.0,89294.0,91218.0,91218.0,26,22,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,89294.0,91218.0,90576.66666666669,21,1,36,0,0,0,0,0,0,0,0,0,0,1,1,0,2,1,3,1,3,97.0,73.0,78.0,80.0,75.0 +55.0,15,5,10.0,57,10799302.0,46.0,5.0,93411.0,208.575,sainz,55.0,Spanish,mclaren,British,2020,15,Bahrain Grand Prix,51000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,171.0,3.0,0.0,88975.0,88975.0,88975.0,30,26,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,88975.0,88975.0,88975.0,21,5,117,1,1,0,0,3,2,1,0,2,0,0,0,2,0,0,0,0,1,159.0,88.0,81.0,84.0,82.0 +5.0,11,13,0.0,56,,41.0,11.0,93861.0,207.575,vettel,5.0,German,ferrari,Italian,2020,15,Bahrain Grand Prix,51000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,131.0,6.0,0.0,89142.0,89149.0,89149.0,37,33,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,89142.0,89149.0,89146.66666666667,20,13,256,1,0,1,0,0,1,1,0,0,4,1,2,2,0,0,0,0,0,269.0,89.0,91.0,94.0,89.0 +89.0,17,16,0.0,87,5508788.0,56.0,15.0,57392.0,222.24,aitken,89.0,British,williams,British,2020,16,Sakhir Grand Prix,61800000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,0.0,10.0,0.0,54892.0,54892.0,54892.0,29,25,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,54892.0,54892.0,54892.0,25,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +23.0,12,6,8.0,87,5488956.0,52.0,8.0,57056.0,223.548,albon,23.0,Thai,red_bull,Austrian,2020,16,Sakhir Grand Prix,61800000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,282.0,2.0,1.0,54620.0,54026.0,54026.0,28,24,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,54026.0,54620.0,54224.0,23,1,37,2,0,2,1,2,1,1,2,0,1,0,1,1,0,2,0,1,0,97.0,87.0,78.0,83.0,79.0 +77.0,1,8,4.0,87,5490503.0,60.0,2.0,56563.0,225.497,bottas,77.0,Finnish,mercedes,German,2020,16,Sakhir Grand Prix,61800000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,2.0,540.0,1.0,13.0,53904.0,53803.0,53377.0,35,31,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,53377.0,53904.0,53694.66666666666,24,7,156,10,5,3,0,1,0,0,1,0,0,1,0,0,1,0,0,0,0,188.0,89.0,99.0,91.0,90.0 +10.0,9,11,0.0,87,5495641.0,53.0,10.0,57220.0,222.908,gasly,10.0,French,alphatauri,Italian,2020,16,Sakhir Grand Prix,61800000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,1.0,103.0,7.0,1.0,54207.0,53941.0,54154.0,28,24,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,53941.0,54207.0,54100.66666666666,21,3,63,1,0,0,0,1,2,2,1,2,0,1,0,1,0,1,0,0,0,102.0,85.0,87.0,80.0,80.0 +99.0,14,13,0.0,87,5499225.0,56.0,4.0,56887.0,224.212,giovinazzi,99.0,Italian,alfa,Swiss,2020,16,Sakhir Grand Prix,61800000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,8.0,8.0,0.0,54523.0,54377.0,54377.0,31,27,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,54377.0,54523.0,54425.66666666666,24,3,39,0,0,0,0,0,0,0,0,1,2,1,0,0,2,1,3,3,1,73.0,83.0,70.0,79.0,73.0 +20.0,15,15,0.0,87,5507484.0,57.0,16.0,57516.0,221.76,kevin_magnussen,20.0,Danish,haas,American,2020,16,Sakhir Grand Prix,61800000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,3.0,9.0,0.0,54705.0,54705.0,54705.0,32,28,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,54705.0,54705.0,54705.0,22,6,119,0,0,0,0,0,0,0,0,0,1,0,2,1,0,1,2,4,1,159.0,79.0,73.0,83.0,78.0 +26.0,6,7,6.0,87,5489648.0,80.0,7.0,57001.0,223.764,kvyat,26.0,Russian,alphatauri,Italian,2020,16,Sakhir Grand Prix,61800000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,103.0,7.0,1.0,54346.0,53856.0,53906.0,30,26,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,53856.0,54346.0,54036.0,20,6,111,0,0,0,1,0,0,1,1,1,2,2,4,0,0,1,0,0,1,150.0,86.0,74.0,85.0,80.0 +4.0,19,10,1.0,87,5494655.0,85.0,11.0,57270.0,222.713,norris,4.0,British,mclaren,British,2020,16,Sakhir Grand Prix,61800000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,184.0,4.0,0.0,54194.0,54693.0,54693.0,25,21,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,54194.0,54693.0,54526.66666666666,20,1,37,1,0,1,2,2,1,1,2,1,1,0,0,2,0,1,1,0,0,97.0,89.0,78.0,80.0,79.0 +31.0,11,2,18.0,87,5485632.0,75.0,12.0,57350.0,222.402,ocon,31.0,French,renault,French,2020,16,Sakhir Grand Prix,61800000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,172.0,5.0,0.0,54309.0,53995.0,53995.0,28,24,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,53995.0,54309.0,54099.66666666666,20,4,66,0,0,0,0,1,1,1,4,1,0,1,0,1,2,0,0,0,2,106.0,90.0,79.0,82.0,80.0 +11.0,5,1,25.0,87,5475114.0,69.0,3.0,56789.0,224.599,perez,11.0,Mexican,racing_point,British,2020,16,Sakhir Grand Prix,61800000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,194.0,3.0,1.0,54236.0,53787.0,53790.0,34,30,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,53787.0,54236.0,53937.66666666666,21,9,192,1,1,0,2,2,3,2,0,0,2,0,0,0,0,0,0,0,1,221.0,91.0,80.0,86.0,85.0 +51.0,20,17,0.0,87,5511972.0,56.0,17.0,57742.0,220.892,pietro_fittipaldi,51.0,Brazilian,haas,American,2020,16,Sakhir Grand Prix,61800000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,3.0,9.0,0.0,55426.0,55426.0,55426.0,28,24,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,55426.0,55426.0,55426.0,24,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +7.0,18,14,0.0,87,5501267.0,56.0,13.0,57375.0,222.305,raikkonen,7.0,Finnish,alfa,Swiss,2020,16,Sakhir Grand Prix,61800000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,8.0,8.0,0.0,54963.0,54963.0,54963.0,45,41,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,54963.0,54963.0,54963.0,27,14,244,0,0,0,0,0,0,0,0,2,0,2,2,1,3,4,0,1,0,317.0,84.0,91.0,83.0,87.0 +3.0,7,5,10.0,87,5488444.0,57.0,6.0,56979.0,223.85,ricciardo,3.0,Australian,renault,French,2020,16,Sakhir Grand Prix,61800000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,172.0,5.0,0.0,54388.0,53871.0,53957.0,35,31,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,53871.0,54388.0,54072.0,22,9,187,2,0,2,3,1,1,1,2,1,1,1,0,0,1,0,0,0,0,212.0,90.0,86.0,90.0,87.0 +63.0,2,9,3.0,87,5493670.0,80.0,1.0,55404.0,230.214,russell,63.0,British,mercedes,German,2020,16,Sakhir Grand Prix,61800000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,540.0,1.0,13.0,54160.0,53819.0,53403.0,26,22,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,53403.0,54160.0,53794.0,21,1,37,0,0,0,0,0,0,0,0,0,0,1,2,0,2,1,3,1,3,97.0,73.0,78.0,80.0,75.0 +55.0,8,4,12.0,87,5487694.0,80.0,9.0,57165.0,223.122,sainz,55.0,Spanish,mclaren,British,2020,16,Sakhir Grand Prix,61800000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,184.0,4.0,0.0,54450.0,53818.0,54010.0,30,26,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,53818.0,54450.0,54092.66666666666,21,5,118,1,1,0,0,4,2,1,0,2,0,0,0,2,0,0,0,0,1,159.0,88.0,81.0,84.0,82.0 +18.0,10,3,15.0,87,5486983.0,85.0,14.0,57388.0,222.255,stroll,18.0,Canadian,racing_point,British,2020,16,Sakhir Grand Prix,61800000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,194.0,3.0,1.0,54595.0,53840.0,54200.0,26,22,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,53840.0,54595.0,54211.66666666666,19,3,77,1,0,1,2,0,1,1,0,3,0,0,0,2,0,0,0,0,1,121.0,86.0,73.0,83.0,78.0 +5.0,13,12,0.0,87,5497725.0,56.0,5.0,56905.0,224.141,vettel,5.0,German,ferrari,Italian,2020,16,Sakhir Grand Prix,61800000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,131.0,6.0,0.0,54301.0,54175.0,54175.0,37,33,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,54175.0,54301.0,54217.0,20,13,257,1,0,1,0,0,1,1,0,0,4,1,2,3,0,0,0,0,0,269.0,89.0,91.0,94.0,89.0 +23.0,5,4,12.0,55,5808632.0,42.0,4.0,101227.0,197.52,albon,23.0,Thai,red_bull,Austrian,2020,17,Abu Dhabi Grand Prix,47400000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,319.0,2.0,2.0,96106.0,95654.0,95571.0,28,24,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,95571.0,96106.0,95777.0,23,1,38,2,0,2,1,2,2,1,2,0,1,0,1,1,0,2,0,1,0,97.0,87.0,78.0,83.0,79.0 +77.0,2,2,18.0,55,5804621.0,40.0,3.0,101131.0,197.707,bottas,77.0,Finnish,mercedes,German,2020,17,Abu Dhabi Grand Prix,47400000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,2.0,573.0,1.0,13.0,95699.0,95527.0,95271.0,35,31,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,95271.0,95699.0,95499.0,24,7,157,10,5,3,0,1,0,0,2,0,0,1,0,0,1,0,0,0,0,188.0,89.0,99.0,91.0,90.0 +10.0,9,8,4.0,55,5878363.0,53.0,15.0,102474.0,195.116,gasly,10.0,French,alphatauri,Italian,2020,17,Abu Dhabi Grand Prix,47400000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,1.0,107.0,7.0,1.0,96545.0,96282.0,96242.0,28,24,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,96242.0,96545.0,96356.33333333331,21,3,64,1,0,0,0,1,2,2,1,2,0,2,0,1,0,1,0,0,0,102.0,85.0,87.0,80.0,80.0 +99.0,14,16,0.0,54,,29.0,7.0,101675.0,196.65,giovinazzi,99.0,Italian,alfa,Swiss,2020,17,Abu Dhabi Grand Prix,47400000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,8.0,8.0,0.0,97075.0,98248.0,98248.0,31,27,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,97075.0,98248.0,97857.0,24,3,40,0,0,0,0,0,0,0,0,1,2,1,0,1,2,1,3,3,1,73.0,83.0,70.0,79.0,73.0 +44.0,3,3,15.0,55,5807060.0,37.0,5.0,101420.0,197.144,hamilton,44.0,British,mercedes,German,2020,17,Abu Dhabi Grand Prix,47400000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,11.0,573.0,1.0,13.0,95528.0,95466.0,95332.0,39,35,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,95332.0,95528.0,95442.0,22,13,266,13,1,1,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,274.0,93.0,95.0,96.0,94.0 +20.0,20,18,0.0,54,,50.0,13.0,101999.0,196.025,kevin_magnussen,20.0,Danish,haas,American,2020,17,Abu Dhabi Grand Prix,47400000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,3.0,9.0,0.0,97863.0,97863.0,97863.0,32,28,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,97863.0,97863.0,97863.0,22,6,120,0,0,0,0,0,0,0,0,0,1,0,2,1,0,2,2,4,1,159.0,79.0,73.0,83.0,78.0 +26.0,7,11,0.0,54,,47.0,17.0,102704.0,194.679,kvyat,26.0,Russian,alphatauri,Italian,2020,17,Abu Dhabi Grand Prix,47400000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,107.0,7.0,1.0,96459.0,96214.0,95963.0,30,26,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,95963.0,96459.0,96212.0,20,6,112,0,0,0,1,0,0,2,1,1,2,2,4,0,0,1,0,0,1,150.0,86.0,74.0,85.0,80.0 +6.0,18,17,0.0,54,,49.0,16.0,102497.0,195.073,latifi,6.0,Canadian,williams,British,2020,17,Abu Dhabi Grand Prix,47400000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,0.0,10.0,0.0,98443.0,98443.0,98443.0,29,25,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,98443.0,98443.0,98443.0,25,0,17,0,0,0,0,0,0,0,0,0,0,3,0,0,2,2,2,1,3,1.0,60.0,80.0,64.0,64.0 +16.0,12,13,0.0,54,,24.0,10.0,101908.0,196.2,leclerc,16.0,Monegasque,ferrari,Italian,2020,17,Abu Dhabi Grand Prix,47400000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,131.0,6.0,0.0,95881.0,95932.0,96065.0,27,23,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,95881.0,96065.0,95959.33333333331,21,2,59,2,1,1,3,1,1,1,1,0,1,1,0,0,1,0,0,0,1,116.0,92.0,82.0,93.0,86.0 +33.0,1,1,25.0,55,5788645.0,14.0,2.0,100958.0,198.046,max_verstappen,33.0,Dutch,red_bull,Austrian,2020,17,Abu Dhabi Grand Prix,47400000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,1.0,319.0,2.0,2.0,95993.0,95641.0,95246.0,27,23,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,95246.0,95993.0,95626.66666666669,18,5,119,10,6,3,0,0,1,0,0,0,0,0,0,0,0,0,0,2,0,173.0,94.0,84.0,96.0,90.0 +4.0,4,5,10.0,55,5849374.0,53.0,12.0,101964.0,196.092,norris,4.0,British,mclaren,British,2020,17,Abu Dhabi Grand Prix,47400000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,202.0,3.0,0.0,96016.0,95849.0,95497.0,25,21,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,95497.0,96016.0,95787.33333333331,20,1,38,1,0,1,2,2,1,1,2,1,2,0,0,2,0,1,1,0,0,97.0,89.0,78.0,80.0,79.0 +31.0,10,9,2.0,55,5799996.0,47.0,18.0,102894.0,194.32,ocon,31.0,French,renault,French,2020,17,Abu Dhabi Grand Prix,47400000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,181.0,5.0,0.0,96783.0,96359.0,96359.0,28,24,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,96359.0,96783.0,96500.33333333331,20,4,67,1,1,0,0,1,1,1,4,1,0,1,0,1,2,0,0,0,2,106.0,90.0,79.0,82.0,80.0 +51.0,17,19,0.0,53,,50.0,8.0,101707.0,196.588,pietro_fittipaldi,51.0,Brazilian,haas,American,2020,17,Abu Dhabi Grand Prix,47400000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+2 Laps,0.0,3.0,9.0,0.0,98173.0,98173.0,98173.0,28,24,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,98173.0,98173.0,98173.0,24,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,58.0,72.0,78.0,73.0,72.0 +7.0,15,12,0.0,54,,53.0,14.0,102148.0,195.739,raikkonen,7.0,Finnish,alfa,Swiss,2020,17,Abu Dhabi Grand Prix,47400000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,8.0,8.0,0.0,97555.0,97555.0,97555.0,45,41,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,97555.0,97555.0,97555.0,27,14,245,0,0,0,0,0,0,0,0,2,0,2,2,1,4,4,0,1,0,317.0,84.0,91.0,83.0,87.0 +3.0,11,7,7.0,55,5862393.0,55.0,1.0,100926.0,198.109,ricciardo,3.0,Australian,renault,French,2020,17,Abu Dhabi Grand Prix,47400000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,181.0,5.0,0.0,96704.0,96406.0,96406.0,35,31,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,96406.0,96704.0,96505.33333333331,22,9,188,2,0,2,3,2,1,1,2,1,1,1,0,0,1,0,0,0,0,212.0,90.0,86.0,90.0,87.0 +63.0,16,15,0.0,54,,54.0,20.0,103328.0,193.504,russell,63.0,British,williams,British,2020,17,Abu Dhabi Grand Prix,47400000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,0.0,10.0,0.0,98045.0,98045.0,98045.0,26,22,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,98045.0,98045.0,98045.0,21,1,38,0,0,0,0,0,0,0,0,1,0,1,2,0,2,1,3,1,3,97.0,73.0,78.0,80.0,75.0 +55.0,6,6,8.0,55,5854307.0,48.0,11.0,101947.0,196.125,sainz,55.0,Spanish,mclaren,British,2020,17,Abu Dhabi Grand Prix,47400000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,202.0,3.0,0.0,96517.0,96192.0,95815.0,30,26,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,95815.0,96517.0,96174.66666666669,21,5,119,1,1,0,1,4,2,1,0,2,0,0,0,2,0,0,0,0,1,159.0,88.0,81.0,84.0,82.0 +18.0,8,10,1.0,55,5790314.0,41.0,9.0,101866.0,196.281,stroll,18.0,Canadian,racing_point,British,2020,17,Abu Dhabi Grand Prix,47400000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,195.0,4.0,1.0,96502.0,96143.0,96046.0,26,22,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,96046.0,96502.0,96230.33333333331,19,3,78,2,0,2,2,0,1,1,0,3,0,0,0,2,0,0,0,0,1,121.0,86.0,73.0,83.0,78.0 +5.0,13,14,0.0,54,,37.0,6.0,101475.0,197.037,vettel,5.0,German,ferrari,Italian,2020,17,Abu Dhabi Grand Prix,47400000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,131.0,6.0,0.0,96655.0,96631.0,96631.0,37,33,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,96631.0,96655.0,96639.0,20,13,258,1,0,1,0,0,1,1,0,0,4,1,3,3,0,0,0,0,0,269.0,89.0,91.0,94.0,89.0 +77.0,3,3,16.0,56,5561280.0,56.0,1.0,92090.0,211.566,bottas,77.0,Finnish,mercedes,German,2021,1,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,41.0,1.0,1.0,91200.0,90186.0,89586.0,35,32,"Clear, 21 °C (70 °F)",1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,89586.0,91200.0,90324.0,24,8,158,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,207.0,89.0,99.0,92.0,92.0 +99.0,12,12,0.0,55,,32.0,13.0,95122.0,204.823,giovinazzi,99.0,Italian,alfa,Swiss,2021,1,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,0.0,7.0,0.0,90998.0,90708.0,90708.0,31,28,"Clear, 21 °C (70 °F)",1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,90708.0,90998.0,90804.66666666669,24,4,41,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,106.0,82.0,82.0,80.0,79.0 +44.0,2,1,25.0,56,5523897.0,44.0,4.0,94015.0,207.235,hamilton,44.0,British,mercedes,German,2021,1,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,41.0,1.0,1.0,90617.0,90085.0,89385.0,39,36,"Clear, 21 °C (70 °F)",1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,89385.0,90617.0,90029.0,22,14,267,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,288.0,94.0,89.0,98.0,95.0 +16.0,4,6,8.0,56,5582987.0,39.0,11.0,94988.0,205.112,leclerc,16.0,Monegasque,ferrari,Italian,2021,1,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,12.0,4.0,0.0,90691.0,90010.0,89678.0,27,24,"Clear, 21 °C (70 °F)",1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,89678.0,90691.0,90126.33333333331,21,3,60,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,145.0,88.0,87.0,92.0,88.0 +33.0,1,2,18.0,56,5524642.0,41.0,2.0,93228.0,208.984,max_verstappen,33.0,Dutch,red_bull,Austrian,2021,1,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,28.0,2.0,0.0,90499.0,90318.0,88997.0,27,24,"Clear, 21 °C (70 °F)",1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,88997.0,90499.0,89938.0,18,6,120,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,178.0,96.0,96.0,97.0,95.0 +47.0,18,16,0.0,55,,38.0,18.0,96134.0,202.667,mick_schumacher,47.0,German,haas,American,2021,1,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,0.0,10.0,0.0,92449.0,92449.0,92449.0,25,22,"Clear, 21 °C (70 °F)",1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,92449.0,92449.0,92449.0,22,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,73.0,65.0,81.0,83.0,76.0 +4.0,7,4,12.0,56,5570363.0,38.0,6.0,94396.0,206.398,norris,4.0,British,mclaren,British,2021,1,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,18.0,3.0,0.0,90902.0,90099.0,89974.0,25,22,"Clear, 21 °C (70 °F)",1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,89974.0,90902.0,90325.0,20,2,39,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,135.0,96.0,99.0,89.0,91.0 +31.0,16,13,0.0,55,,33.0,15.0,95250.0,204.548,ocon,31.0,French,alpine,French,2021,1,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,0.0,8.0,0.0,91724.0,91724.0,91724.0,28,25,"Clear, 21 °C (70 °F)",1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,91724.0,91724.0,91724.0,20,5,68,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,135.0,93.0,98.0,79.0,86.0 +11.0,21,5,10.0,56,5575944.0,44.0,3.0,93970.0,207.334,perez,11.0,Mexican,red_bull,Austrian,2021,1,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,28.0,2.0,0.0,91165.0,90659.0,90659.0,34,31,"Clear, 21 °C (70 °F)",1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,90659.0,91165.0,90827.66666666669,21,10,194,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,236.0,92.0,84.0,87.0,87.0 +7.0,14,11,0.0,56,5612761.0,45.0,14.0,95192.0,204.672,raikkonen,7.0,Finnish,alfa,Swiss,2021,1,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,0.0,7.0,0.0,91547.0,91238.0,91238.0,45,42,"Clear, 21 °C (70 °F)",1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,91238.0,91547.0,91341.0,27,15,246,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,322.0,91.0,84.0,86.0,87.0 +3.0,6,7,6.0,56,5589901.0,36.0,10.0,94932.0,205.233,ricciardo,3.0,Australian,mclaren,British,2021,1,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,18.0,3.0,0.0,90795.0,90222.0,89927.0,35,32,"Clear, 21 °C (70 °F)",1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,89927.0,90795.0,90314.66666666669,22,10,189,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,231.0,94.0,91.0,88.0,90.0 +63.0,15,14,0.0,55,,40.0,12.0,95036.0,205.008,russell,63.0,British,williams,British,2021,1,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,0.0,9.0,0.0,91316.0,93430.0,93430.0,26,23,"Clear, 21 °C (70 °F)",1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,91316.0,93430.0,92725.33333333331,21,2,39,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,135.0,76.0,99.0,83.0,84.0 +55.0,8,8,4.0,56,5590997.0,48.0,7.0,94509.0,206.151,sainz,55.0,Spanish,ferrari,Italian,2021,1,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,12.0,4.0,0.0,91653.0,90009.0,90215.0,30,27,"Clear, 21 °C (70 °F)",1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,90009.0,91653.0,90625.66666666669,21,6,120,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,178.0,88.0,94.0,85.0,87.0 +18.0,10,10,1.0,56,5610610.0,31.0,9.0,94865.0,205.378,stroll,18.0,Canadian,aston_martin,British,2021,1,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,1.0,6.0,0.0,91261.0,90624.0,90601.0,26,23,"Clear, 21 °C (70 °F)",1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,90601.0,91261.0,90828.66666666669,19,4,79,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,145.0,93.0,82.0,82.0,83.0 +22.0,13,9,2.0,56,5609589.0,38.0,8.0,94761.0,205.603,tsunoda,22.0,Japanese,alphatauri,Italian,2021,1,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,2.0,5.0,0.0,90607.0,91203.0,91203.0,24,21,"Clear, 21 °C (70 °F)",1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,90607.0,91203.0,91004.33333333331,21,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,68.0,88.0,78.0,86.0,82.0 +5.0,20,15,0.0,55,,26.0,16.0,95566.0,203.871,vettel,5.0,German,aston_martin,British,2021,1,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,1.0,6.0,0.0,92056.0,92056.0,92056.0,37,34,"Clear, 21 °C (70 °F)",1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,92056.0,92056.0,92056.0,20,14,259,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,284.0,93.0,87.0,88.0,89.0 +14.0,15,10,1.0,63,7421159.0,62.0,14.0,79417.0,222.526,alonso,14.0,Spanish,alpine,French,2021,2,Emilia Romagna Grand Prix,46800000.0,imola,Imola,Italy,44.3439,11.7167,37.0,Finished,0.0,3.0,7.0,0.0,75832.0,75593.0,75593.0,43,40,"Wet at start, drying during race, 9 °C (48 °F)",0,0,1,1,0,Race circuit,Anti-clockwise,4.909,63.0,309.049,75593.0,75832.0,75672.66666666667,25,15,246,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,322.0,89.0,94.0,86.0,89.0 +10.0,5,7,6.0,63,7407416.0,52.0,9.0,78994.0,223.718,gasly,10.0,French,alphatauri,Italian,2021,2,Emilia Romagna Grand Prix,46800000.0,imola,Imola,Italy,44.3439,11.7167,37.0,Finished,0.0,8.0,5.0,0.0,75548.0,74927.0,74790.0,28,25,"Wet at start, drying during race, 9 °C (48 °F)",0,0,1,1,0,Race circuit,Anti-clockwise,4.909,63.0,309.049,74790.0,75548.0,75088.33333333333,21,4,66,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,130.0,92.0,99.0,89.0,90.0 +99.0,17,14,0.0,62,,57.0,16.0,79470.0,222.378,giovinazzi,99.0,Italian,alfa,Swiss,2021,2,Emilia Romagna Grand Prix,46800000.0,imola,Imola,Italy,44.3439,11.7167,37.0,+1 Lap,0.0,0.0,8.0,0.0,76122.0,76122.0,76122.0,31,28,"Wet at start, drying during race, 9 °C (48 °F)",0,0,1,1,0,Race circuit,Anti-clockwise,4.909,63.0,309.049,76122.0,76122.0,76122.0,24,4,42,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,106.0,82.0,82.0,80.0,79.0 +44.0,1,2,19.0,63,7376598.0,60.0,1.0,76702.0,230.403,hamilton,44.0,British,mercedes,German,2021,2,Emilia Romagna Grand Prix,46800000.0,imola,Imola,Italy,44.3439,11.7167,37.0,Finished,1.0,60.0,1.0,1.0,74823.0,74817.0,74411.0,39,36,"Wet at start, drying during race, 9 °C (48 °F)",0,0,1,1,0,Race circuit,Anti-clockwise,4.909,63.0,309.049,74411.0,74823.0,74683.66666666667,22,14,268,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,288.0,94.0,89.0,98.0,95.0 +16.0,4,4,12.0,63,7380177.0,60.0,6.0,78379.0,225.473,leclerc,16.0,Monegasque,ferrari,Italian,2021,2,Emilia Romagna Grand Prix,46800000.0,imola,Imola,Italy,44.3439,11.7167,37.0,Finished,0.0,34.0,4.0,0.0,75413.0,74808.0,74740.0,27,24,"Wet at start, drying during race, 9 °C (48 °F)",0,0,1,1,0,Race circuit,Anti-clockwise,4.909,63.0,309.049,74740.0,75413.0,74987.0,21,3,61,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,145.0,88.0,87.0,92.0,88.0 +33.0,3,1,25.0,63,7354598.0,60.0,2.0,77524.0,227.96,max_verstappen,33.0,Dutch,red_bull,Austrian,2021,2,Emilia Romagna Grand Prix,46800000.0,imola,Imola,Italy,44.3439,11.7167,37.0,Finished,0.0,53.0,2.0,1.0,75109.0,74884.0,74498.0,27,24,"Wet at start, drying during race, 9 °C (48 °F)",0,0,1,1,0,Race circuit,Anti-clockwise,4.909,63.0,309.049,74498.0,75109.0,74830.33333333333,18,6,121,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,178.0,96.0,96.0,97.0,95.0 +9.0,19,17,0.0,61,,55.0,17.0,80402.0,219.8,mazepin,9.0,Russian,haas,American,2021,2,Emilia Romagna Grand Prix,46800000.0,imola,Imola,Italy,44.3439,11.7167,37.0,+2 Laps,0.0,0.0,10.0,0.0,76797.0,76797.0,76797.0,25,22,"Wet at start, drying during race, 9 °C (48 °F)",0,0,1,1,0,Race circuit,Anti-clockwise,4.909,63.0,309.049,76797.0,76797.0,76797.0,22,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,73.0,65.0,78.0,66.0,67.0 +47.0,18,16,0.0,61,,58.0,11.0,79193.0,223.156,mick_schumacher,47.0,German,haas,American,2021,2,Emilia Romagna Grand Prix,46800000.0,imola,Imola,Italy,44.3439,11.7167,37.0,+2 Laps,0.0,0.0,10.0,0.0,76279.0,76279.0,76279.0,25,22,"Wet at start, drying during race, 9 °C (48 °F)",0,0,1,1,0,Race circuit,Anti-clockwise,4.909,63.0,309.049,76279.0,76279.0,76279.0,22,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,73.0,65.0,81.0,83.0,76.0 +4.0,7,3,15.0,63,7378300.0,63.0,3.0,78259.0,225.819,norris,4.0,British,mclaren,British,2021,2,Emilia Romagna Grand Prix,46800000.0,imola,Imola,Italy,44.3439,11.7167,37.0,Finished,0.0,41.0,3.0,0.0,75009.0,74718.0,74875.0,25,22,"Wet at start, drying during race, 9 °C (48 °F)",0,0,1,1,0,Race circuit,Anti-clockwise,4.909,63.0,309.049,74718.0,75009.0,74867.33333333333,20,2,40,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,135.0,96.0,99.0,89.0,91.0 +31.0,9,9,2.0,63,7420302.0,62.0,15.0,79422.0,222.512,ocon,31.0,French,alpine,French,2021,2,Emilia Romagna Grand Prix,46800000.0,imola,Imola,Italy,44.3439,11.7167,37.0,Finished,0.0,3.0,7.0,0.0,75385.0,75117.0,75210.0,28,25,"Wet at start, drying during race, 9 °C (48 °F)",0,0,1,1,0,Race circuit,Anti-clockwise,4.909,63.0,309.049,75117.0,75385.0,75237.33333333333,20,5,69,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,135.0,93.0,98.0,79.0,86.0 +11.0,2,11,0.0,63,7421749.0,62.0,13.0,79396.0,222.585,perez,11.0,Mexican,red_bull,Austrian,2021,2,Emilia Romagna Grand Prix,46800000.0,imola,Imola,Italy,44.3439,11.7167,37.0,Finished,0.0,53.0,2.0,1.0,75395.0,74716.0,74446.0,34,31,"Wet at start, drying during race, 9 °C (48 °F)",0,0,1,1,0,Race circuit,Anti-clockwise,4.909,63.0,309.049,74446.0,75395.0,74852.33333333333,21,10,195,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,236.0,92.0,84.0,87.0,87.0 +7.0,16,13,0.0,63,7449371.0,62.0,5.0,78353.0,225.548,raikkonen,7.0,Finnish,alfa,Swiss,2021,2,Emilia Romagna Grand Prix,46800000.0,imola,Imola,Italy,44.3439,11.7167,37.0,Finished,0.0,0.0,8.0,0.0,75974.0,75974.0,75974.0,45,42,"Wet at start, drying during race, 9 °C (48 °F)",0,0,1,1,0,Race circuit,Anti-clockwise,4.909,63.0,309.049,75974.0,75974.0,75974.0,27,15,247,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,322.0,91.0,84.0,86.0,87.0 +3.0,6,6,8.0,63,7405818.0,54.0,12.0,79341.0,222.739,ricciardo,3.0,Australian,mclaren,British,2021,2,Emilia Romagna Grand Prix,46800000.0,imola,Imola,Italy,44.3439,11.7167,37.0,Finished,0.0,41.0,3.0,0.0,75669.0,75033.0,74826.0,35,32,"Wet at start, drying during race, 9 °C (48 °F)",0,0,1,1,0,Race circuit,Anti-clockwise,4.909,63.0,309.049,74826.0,75669.0,75176.0,22,10,190,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,231.0,94.0,91.0,88.0,90.0 +55.0,11,5,10.0,63,7381634.0,60.0,7.0,78490.0,225.154,sainz,55.0,Spanish,ferrari,Italian,2021,2,Emilia Romagna Grand Prix,46800000.0,imola,Imola,Italy,44.3439,11.7167,37.0,Finished,0.0,34.0,4.0,0.0,75406.0,75199.0,75199.0,30,27,"Wet at start, drying during race, 9 °C (48 °F)",0,0,1,1,0,Race circuit,Anti-clockwise,4.909,63.0,309.049,75199.0,75406.0,75268.0,21,6,121,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,178.0,88.0,94.0,85.0,87.0 +18.0,10,8,4.0,63,7411507.0,59.0,8.0,78782.0,224.32,stroll,18.0,Canadian,aston_martin,British,2021,2,Emilia Romagna Grand Prix,46800000.0,imola,Imola,Italy,44.3439,11.7167,37.0,Finished,0.0,5.0,6.0,0.0,75522.0,75138.0,75138.0,26,23,"Wet at start, drying during race, 9 °C (48 °F)",0,0,1,1,0,Race circuit,Anti-clockwise,4.909,63.0,309.049,75138.0,75522.0,75266.0,19,4,80,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,145.0,93.0,82.0,82.0,83.0 +22.0,20,12,0.0,63,7427782.0,49.0,4.0,78334.0,225.603,tsunoda,22.0,Japanese,alphatauri,Italian,2021,2,Emilia Romagna Grand Prix,46800000.0,imola,Imola,Italy,44.3439,11.7167,37.0,Finished,0.0,8.0,5.0,0.0,76797.0,76797.0,76797.0,24,21,"Wet at start, drying during race, 9 °C (48 °F)",0,0,1,1,0,Race circuit,Anti-clockwise,4.909,63.0,309.049,76797.0,76797.0,76797.0,21,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,68.0,88.0,78.0,86.0,82.0 +14.0,13,8,4.0,66,5673229.0,66.0,5.0,81032.0,206.718,alonso,14.0,Spanish,alpine,French,2021,3,Portuguese Grand Prix,50400000.0,portimao,Portimão,Portugal,37.227,-8.6267,108.0,Finished,0.0,13.0,5.0,0.0,79728.0,79456.0,79456.0,43,40,Light cloud,0,0,0,0,1,Race circuit,Clockwise,4.653,66.0,306.826,79456.0,79728.0,79546.66666666667,25,15,247,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,322.0,89.0,94.0,86.0,89.0 +77.0,1,3,16.0,66,5704951.0,65.0,1.0,79865.0,209.738,bottas,77.0,Finnish,mercedes,German,2021,3,Portuguese Grand Prix,50400000.0,portimao,Portimão,Portugal,37.227,-8.6267,108.0,Finished,0.0,101.0,1.0,2.0,78722.0,78458.0,78348.0,35,32,Light cloud,0,0,0,0,1,Race circuit,Clockwise,4.653,66.0,306.826,78348.0,78722.0,78509.33333333333,24,8,160,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,207.0,89.0,99.0,92.0,92.0 +10.0,9,10,1.0,66,5747884.0,65.0,11.0,82014.0,204.243,gasly,10.0,French,alphatauri,Italian,2021,3,Portuguese Grand Prix,50400000.0,portimao,Portimão,Portugal,37.227,-8.6267,108.0,Finished,0.0,9.0,6.0,0.0,79464.0,79052.0,79475.0,28,25,Light cloud,0,0,0,0,1,Race circuit,Clockwise,4.653,66.0,306.826,79052.0,79475.0,79330.33333333333,21,4,67,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,130.0,92.0,99.0,89.0,90.0 +99.0,12,12,0.0,65,,60.0,13.0,82167.0,203.862,giovinazzi,99.0,Italian,alfa,Swiss,2021,3,Portuguese Grand Prix,50400000.0,portimao,Portimão,Portugal,37.227,-8.6267,108.0,+1 Lap,0.0,0.0,8.0,0.0,79410.0,79216.0,79216.0,31,28,Light cloud,0,0,0,0,1,Race circuit,Clockwise,4.653,66.0,306.826,79216.0,79410.0,79280.66666666667,24,4,43,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,106.0,82.0,82.0,80.0,79.0 +44.0,2,1,25.0,66,5671421.0,47.0,4.0,80933.0,206.971,hamilton,44.0,British,mercedes,German,2021,3,Portuguese Grand Prix,50400000.0,portimao,Portimão,Portugal,37.227,-8.6267,108.0,Finished,1.0,101.0,1.0,2.0,78857.0,77968.0,78355.0,39,36,Light cloud,0,0,0,0,1,Race circuit,Clockwise,4.653,66.0,306.826,77968.0,78857.0,78393.33333333333,22,14,269,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,288.0,94.0,89.0,98.0,95.0 +6.0,18,18,0.0,64,,60.0,18.0,83155.0,201.44,latifi,6.0,Canadian,williams,British,2021,3,Portuguese Grand Prix,50400000.0,portimao,Portimão,Portugal,37.227,-8.6267,108.0,+2 Laps,0.0,0.0,9.0,0.0,80285.0,80285.0,80285.0,29,26,Light cloud,0,0,0,0,1,Race circuit,Clockwise,4.653,66.0,306.826,80285.0,80285.0,80285.0,25,1,20,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,111.0,69.0,79.0,70.0,71.0 +16.0,8,6,8.0,66,5727202.0,63.0,6.0,81496.0,205.541,leclerc,16.0,Monegasque,ferrari,Italian,2021,3,Portuguese Grand Prix,50400000.0,portimao,Portimão,Portugal,37.227,-8.6267,108.0,Finished,0.0,42.0,4.0,0.0,79373.0,78769.0,79306.0,27,24,Light cloud,0,0,0,0,1,Race circuit,Clockwise,4.653,66.0,306.826,78769.0,79373.0,79149.33333333333,21,3,62,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,145.0,88.0,87.0,92.0,88.0 +33.0,3,2,18.0,66,5700569.0,62.0,3.0,80695.0,207.581,max_verstappen,33.0,Dutch,red_bull,Austrian,2021,3,Portuguese Grand Prix,50400000.0,portimao,Portimão,Portugal,37.227,-8.6267,108.0,Finished,1.0,83.0,2.0,1.0,79485.0,78650.0,78746.0,27,24,Light cloud,0,0,0,0,1,Race circuit,Clockwise,4.653,66.0,306.826,78650.0,79485.0,78960.33333333333,18,6,122,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,178.0,96.0,96.0,97.0,95.0 +9.0,20,19,0.0,64,,64.0,19.0,83641.0,200.27,mazepin,9.0,Russian,haas,American,2021,3,Portuguese Grand Prix,50400000.0,portimao,Portimão,Portugal,37.227,-8.6267,108.0,+2 Laps,0.0,0.0,10.0,0.0,80912.0,80912.0,80912.0,25,22,Light cloud,0,0,0,0,1,Race circuit,Clockwise,4.653,66.0,306.826,80912.0,80912.0,80912.0,22,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,73.0,65.0,78.0,66.0,67.0 +47.0,19,17,0.0,64,,61.0,17.0,82755.0,202.414,mick_schumacher,47.0,German,haas,American,2021,3,Portuguese Grand Prix,50400000.0,portimao,Portimão,Portugal,37.227,-8.6267,108.0,+2 Laps,0.0,0.0,10.0,0.0,80452.0,80452.0,80452.0,25,22,Light cloud,0,0,0,0,1,Race circuit,Clockwise,4.653,66.0,306.826,80452.0,80452.0,80452.0,22,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,73.0,65.0,81.0,83.0,76.0 +4.0,7,5,10.0,66,5722790.0,55.0,7.0,81696.0,205.038,norris,4.0,British,mclaren,British,2021,3,Portuguese Grand Prix,50400000.0,portimao,Portimão,Portugal,37.227,-8.6267,108.0,Finished,0.0,53.0,3.0,0.0,78794.0,78481.0,79116.0,25,22,Light cloud,0,0,0,0,1,Race circuit,Clockwise,4.653,66.0,306.826,78481.0,79116.0,78797.0,20,2,41,1,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,135.0,96.0,99.0,89.0,91.0 +31.0,6,7,6.0,66,5735170.0,34.0,8.0,81886.0,204.562,ocon,31.0,French,alpine,French,2021,3,Portuguese Grand Prix,50400000.0,portimao,Portimão,Portugal,37.227,-8.6267,108.0,Finished,0.0,13.0,5.0,0.0,79092.0,78586.0,79042.0,28,25,Light cloud,0,0,0,0,1,Race circuit,Clockwise,4.653,66.0,306.826,78586.0,79092.0,78906.66666666667,20,5,70,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,135.0,93.0,98.0,79.0,86.0 +11.0,4,4,12.0,66,5711156.0,55.0,2.0,80643.0,207.715,perez,11.0,Mexican,red_bull,Austrian,2021,3,Portuguese Grand Prix,50400000.0,portimao,Portimão,Portugal,37.227,-8.6267,108.0,Finished,0.0,83.0,2.0,1.0,79337.0,78845.0,78890.0,34,31,Light cloud,0,0,0,0,1,Race circuit,Clockwise,4.653,66.0,306.826,78845.0,79337.0,79024.0,21,10,196,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,236.0,92.0,84.0,87.0,87.0 +3.0,16,9,2.0,66,5746790.0,64.0,10.0,81987.0,204.31,ricciardo,3.0,Australian,mclaren,British,2021,3,Portuguese Grand Prix,50400000.0,portimao,Portimão,Portugal,37.227,-8.6267,108.0,Finished,0.0,53.0,3.0,0.0,79839.0,79839.0,79839.0,35,32,Light cloud,0,0,0,0,1,Race circuit,Clockwise,4.653,66.0,306.826,79839.0,79839.0,79839.0,22,10,191,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,231.0,94.0,91.0,88.0,90.0 +63.0,11,16,0.0,65,,60.0,16.0,82654.0,202.661,russell,63.0,British,williams,British,2021,3,Portuguese Grand Prix,50400000.0,portimao,Portimão,Portugal,37.227,-8.6267,108.0,+1 Lap,0.0,0.0,9.0,0.0,79797.0,79109.0,79109.0,26,23,Light cloud,0,0,0,0,1,Race circuit,Clockwise,4.653,66.0,306.826,79109.0,79797.0,79338.33333333333,21,2,41,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,135.0,76.0,99.0,83.0,84.0 +55.0,5,11,0.0,66,5750376.0,60.0,14.0,82325.0,203.471,sainz,55.0,Spanish,ferrari,Italian,2021,3,Portuguese Grand Prix,50400000.0,portimao,Portimão,Portugal,37.227,-8.6267,108.0,Finished,0.0,42.0,4.0,0.0,79309.0,78813.0,79039.0,30,27,Light cloud,0,0,0,0,1,Race circuit,Clockwise,4.653,66.0,306.826,78813.0,79309.0,79053.66666666667,21,6,122,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,178.0,88.0,94.0,85.0,87.0 +18.0,17,14,0.0,65,,59.0,9.0,81970.0,204.352,stroll,18.0,Canadian,aston_martin,British,2021,3,Portuguese Grand Prix,50400000.0,portimao,Portimão,Portugal,37.227,-8.6267,108.0,+1 Lap,0.0,5.0,7.0,0.0,79913.0,79913.0,79913.0,26,23,Light cloud,0,0,0,0,1,Race circuit,Clockwise,4.653,66.0,306.826,79913.0,79913.0,79913.0,19,4,81,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,145.0,93.0,82.0,82.0,83.0 +22.0,14,15,0.0,65,,61.0,12.0,82058.0,204.133,tsunoda,22.0,Japanese,alphatauri,Italian,2021,3,Portuguese Grand Prix,50400000.0,portimao,Portimão,Portugal,37.227,-8.6267,108.0,+1 Lap,0.0,9.0,6.0,0.0,79684.0,79463.0,79463.0,24,21,Light cloud,0,0,0,0,1,Race circuit,Clockwise,4.653,66.0,306.826,79463.0,79684.0,79536.66666666667,21,0,3,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,68.0,88.0,78.0,86.0,82.0 +5.0,10,13,0.0,65,,60.0,15.0,82416.0,203.246,vettel,5.0,German,aston_martin,British,2021,3,Portuguese Grand Prix,50400000.0,portimao,Portimão,Portugal,37.227,-8.6267,108.0,+1 Lap,0.0,5.0,7.0,0.0,79403.0,78970.0,79659.0,37,34,Light cloud,0,0,0,0,1,Race circuit,Clockwise,4.653,66.0,306.826,78970.0,79659.0,79344.0,20,14,261,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,284.0,93.0,87.0,88.0,89.0 +14.0,10,17,0.0,65,,63.0,6.0,81182.0,207.311,alonso,14.0,Spanish,alpine,French,2021,4,Spanish Grand Prix,46800000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,15.0,5.0,0.0,78281.0,77966.0,78147.0,43,40,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,77966.0,78281.0,78131.33333333333,25,15,248,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,322.0,89.0,94.0,86.0,89.0 +77.0,3,3,15.0,66,5614290.0,65.0,2.0,79430.0,211.884,bottas,77.0,Finnish,mercedes,German,2021,4,Spanish Grand Prix,46800000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,141.0,1.0,3.0,78005.0,77142.0,76873.0,35,32,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,76873.0,78005.0,77340.0,24,8,161,2,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,207.0,89.0,99.0,92.0,92.0 +10.0,12,10,1.0,65,,64.0,8.0,81375.0,206.82,gasly,10.0,French,alphatauri,Italian,2021,4,Spanish Grand Prix,46800000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,10.0,6.0,0.0,78190.0,77982.0,77982.0,28,25,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,77982.0,78190.0,78051.33333333333,21,4,68,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,130.0,92.0,99.0,89.0,90.0 +99.0,14,15,0.0,65,,42.0,13.0,82802.0,203.255,giovinazzi,99.0,Italian,alfa,Swiss,2021,4,Spanish Grand Prix,46800000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,0.0,8.0,0.0,78549.0,78356.0,78356.0,31,28,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,78356.0,78549.0,78420.33333333333,24,4,44,0,0,0,0,0,0,0,0,0,0,0,2,0,1,0,0,0,0,106.0,82.0,82.0,80.0,79.0 +44.0,1,1,25.0,66,5587680.0,54.0,5.0,80665.0,208.64,hamilton,44.0,British,mercedes,German,2021,4,Spanish Grand Prix,46800000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,2.0,141.0,1.0,3.0,78245.0,77166.0,76741.0,39,36,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,76741.0,78245.0,77384.0,22,14,270,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,288.0,94.0,89.0,98.0,95.0 +6.0,19,16,0.0,65,,57.0,16.0,82905.0,203.003,latifi,6.0,Canadian,williams,British,2021,4,Spanish Grand Prix,46800000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,0.0,9.0,0.0,79219.0,79219.0,79219.0,29,26,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,79219.0,79219.0,79219.0,25,1,21,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,111.0,69.0,79.0,70.0,71.0 +16.0,4,4,12.0,66,5642296.0,64.0,4.0,80459.0,209.174,leclerc,16.0,Monegasque,ferrari,Italian,2021,4,Spanish Grand Prix,46800000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,60.0,4.0,0.0,78041.0,77717.0,77510.0,27,24,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,77510.0,78041.0,77756.0,21,3,63,0,0,0,1,0,2,0,0,0,0,0,0,0,0,0,0,0,0,145.0,88.0,87.0,92.0,88.0 +33.0,2,2,19.0,66,5603521.0,62.0,1.0,78149.0,215.357,max_verstappen,33.0,Dutch,red_bull,Austrian,2021,4,Spanish Grand Prix,46800000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,1.0,112.0,2.0,1.0,78090.0,76922.0,76777.0,27,24,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,76777.0,78090.0,77263.0,18,6,123,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,178.0,96.0,96.0,97.0,95.0 +9.0,20,19,0.0,64,,45.0,19.0,84040.0,200.261,mazepin,9.0,Russian,haas,American,2021,4,Spanish Grand Prix,46800000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+2 Laps,0.0,0.0,10.0,0.0,79807.0,79807.0,79807.0,25,22,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,79807.0,79807.0,79807.0,22,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,73.0,65.0,78.0,66.0,67.0 +47.0,18,18,0.0,64,,54.0,12.0,82637.0,203.661,mick_schumacher,47.0,German,haas,American,2021,4,Spanish Grand Prix,46800000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+2 Laps,0.0,0.0,10.0,0.0,79117.0,79117.0,79117.0,25,22,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,79117.0,79117.0,79117.0,22,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,1,0,73.0,65.0,81.0,83.0,76.0 +4.0,9,8,4.0,65,,56.0,7.0,81279.0,207.064,norris,4.0,British,mclaren,British,2021,4,Spanish Grand Prix,46800000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,65.0,3.0,0.0,77821.0,77696.0,78010.0,25,22,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,77696.0,78010.0,77842.33333333333,20,2,42,1,0,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,135.0,96.0,99.0,89.0,91.0 +31.0,5,9,2.0,65,,46.0,18.0,83311.0,202.014,ocon,31.0,French,alpine,French,2021,4,Spanish Grand Prix,46800000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,15.0,5.0,0.0,78281.0,77743.0,77580.0,28,25,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,77580.0,78281.0,77868.0,20,5,71,0,0,0,0,0,0,1,0,1,0,0,0,1,0,0,0,0,0,135.0,93.0,98.0,79.0,86.0 +11.0,8,5,10.0,66,5651351.0,60.0,3.0,79483.0,211.743,perez,11.0,Mexican,red_bull,Austrian,2021,4,Spanish Grand Prix,46800000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,112.0,2.0,1.0,78203.0,77669.0,77701.0,34,31,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,77669.0,78203.0,77857.66666666667,21,10,197,0,0,0,1,1,0,0,0,0,0,1,0,0,0,0,0,0,0,236.0,92.0,84.0,87.0,87.0 +7.0,17,12,0.0,65,,54.0,15.0,82868.0,203.094,raikkonen,7.0,Finnish,alfa,Swiss,2021,4,Spanish Grand Prix,46800000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,0.0,8.0,0.0,78917.0,78917.0,78917.0,45,42,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,78917.0,78917.0,78917.0,27,15,249,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,322.0,91.0,84.0,86.0,87.0 +3.0,7,6,8.0,66,5661448.0,60.0,10.0,81853.0,205.612,ricciardo,3.0,Australian,mclaren,British,2021,4,Spanish Grand Prix,46800000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,65.0,3.0,0.0,78264.0,77719.0,77622.0,35,32,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,77622.0,78264.0,77868.33333333333,22,10,192,0,0,0,0,0,1,1,0,1,0,0,0,0,0,0,0,0,0,231.0,94.0,91.0,88.0,90.0 +63.0,15,14,0.0,65,,30.0,17.0,83208.0,202.264,russell,63.0,British,williams,British,2021,4,Spanish Grand Prix,46800000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,0.0,9.0,0.0,78445.0,79154.0,79154.0,26,23,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,78445.0,79154.0,78917.66666666667,21,2,42,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,135.0,76.0,99.0,83.0,84.0 +55.0,6,7,6.0,66,5662350.0,53.0,9.0,81568.0,206.33,sainz,55.0,Spanish,ferrari,Italian,2021,4,Spanish Grand Prix,46800000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,60.0,4.0,0.0,78205.0,77656.0,77620.0,30,27,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,77620.0,78205.0,77827.0,21,6,123,0,0,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,178.0,88.0,94.0,85.0,87.0 +18.0,11,11,0.0,65,,47.0,11.0,82607.0,203.735,stroll,18.0,Canadian,aston_martin,British,2021,4,Spanish Grand Prix,46800000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,5.0,7.0,0.0,78241.0,77974.0,77974.0,26,23,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,77974.0,78241.0,78063.0,19,4,82,0,0,0,0,0,0,0,1,0,1,0,0,0,1,0,0,0,0,145.0,93.0,82.0,82.0,83.0 +5.0,13,13,0.0,65,,56.0,14.0,82820.0,203.211,vettel,5.0,German,aston_martin,British,2021,4,Spanish Grand Prix,46800000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,5.0,7.0,0.0,78289.0,78079.0,78079.0,37,34,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,78079.0,78289.0,78149.0,20,14,262,0,0,0,0,0,0,0,0,0,0,0,0,1,0,2,0,0,0,284.0,93.0,87.0,88.0,89.0 +14.0,17,13,0.0,77,,70.0,10.0,75026.0,160.12,alonso,14.0,Spanish,alpine,French,2021,5,Monaco Grand Prix,46800000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,17.0,7.0,0.0,72205.0,72205.0,72205.0,43,40,Sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,72205.0,72205.0,72205.0,25,15,249,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,1,0,322.0,89.0,94.0,86.0,89.0 +10.0,6,6,8.0,78,5990716.0,71.0,14.0,75412.0,159.3,gasly,10.0,French,alphatauri,Italian,2021,5,Monaco Grand Prix,46800000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,18.0,6.0,0.0,71560.0,71179.0,70900.0,28,25,Sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,70900.0,71560.0,71213.0,21,4,69,0,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,1,0,130.0,92.0,99.0,89.0,90.0 +99.0,10,10,1.0,77,,41.0,13.0,75331.0,159.472,giovinazzi,99.0,Italian,alfa,Swiss,2021,5,Monaco Grand Prix,46800000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,1.0,8.0,0.0,71658.0,71409.0,71779.0,31,28,Sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,71409.0,71779.0,71615.33333333333,24,4,45,0,0,0,0,0,0,0,0,0,0,0,2,0,1,1,0,0,0,106.0,82.0,82.0,80.0,79.0 +44.0,7,7,7.0,78,6005051.0,69.0,1.0,72909.0,164.769,hamilton,44.0,British,mercedes,German,2021,5,Monaco Grand Prix,46800000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,3.0,148.0,2.0,3.0,71622.0,71116.0,71095.0,39,36,Sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,71095.0,71622.0,71277.66666666667,22,14,271,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,288.0,94.0,89.0,98.0,95.0 +6.0,18,15,0.0,77,,66.0,16.0,75573.0,158.961,latifi,6.0,Canadian,williams,British,2021,5,Monaco Grand Prix,46800000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,0.0,9.0,0.0,72366.0,72366.0,72366.0,29,26,Sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,72366.0,72366.0,72366.0,25,1,22,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,2,111.0,69.0,79.0,70.0,71.0 +33.0,2,1,25.0,78,5936820.0,58.0,6.0,74649.0,160.929,max_verstappen,33.0,Dutch,red_bull,Austrian,2021,5,Monaco Grand Prix,46800000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,1.0,149.0,1.0,2.0,71124.0,70650.0,70576.0,27,24,Sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,70576.0,71124.0,70783.33333333333,18,6,124,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,178.0,96.0,96.0,97.0,95.0 +9.0,19,17,0.0,75,,64.0,19.0,76866.0,156.287,mazepin,9.0,Russian,haas,American,2021,5,Monaco Grand Prix,46800000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+3 Laps,0.0,0.0,10.0,0.0,72958.0,72958.0,72958.0,25,22,Sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,72958.0,72958.0,72958.0,22,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,73.0,65.0,78.0,66.0,67.0 +47.0,20,18,0.0,75,,51.0,18.0,76425.0,157.189,mick_schumacher,47.0,German,haas,American,2021,5,Monaco Grand Prix,46800000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+3 Laps,0.0,0.0,10.0,0.0,72958.0,72958.0,72958.0,25,22,Sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,72958.0,72958.0,72958.0,22,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,1,1,73.0,65.0,81.0,83.0,76.0 +4.0,5,3,15.0,78,5956247.0,76.0,7.0,74670.0,160.883,norris,4.0,British,mclaren,British,2021,5,Monaco Grand Prix,46800000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,80.0,3.0,0.0,71321.0,71031.0,70620.0,25,22,Sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,70620.0,71321.0,70990.66666666667,20,2,43,1,0,1,1,1,0,0,1,0,0,0,0,0,0,0,0,0,0,135.0,96.0,99.0,89.0,91.0 +31.0,11,9,2.0,77,,41.0,12.0,75316.0,159.503,ocon,31.0,French,alpine,French,2021,5,Monaco Grand Prix,46800000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,17.0,7.0,0.0,71740.0,71486.0,71486.0,28,25,Sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,71486.0,71740.0,71570.66666666667,20,5,72,0,0,0,0,0,0,1,0,2,0,0,0,1,0,0,0,0,0,135.0,93.0,98.0,79.0,86.0 +11.0,9,4,12.0,78,5957310.0,32.0,3.0,74552.0,161.138,perez,11.0,Mexican,red_bull,Austrian,2021,5,Monaco Grand Prix,46800000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,149.0,1.0,2.0,71644.0,71019.0,71573.0,34,31,Sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,71019.0,71644.0,71412.0,21,10,198,0,0,0,1,2,0,0,0,0,0,1,0,0,0,0,0,0,0,236.0,92.0,84.0,87.0,87.0 +7.0,14,11,0.0,77,,55.0,9.0,74971.0,160.237,raikkonen,7.0,Finnish,alfa,Swiss,2021,5,Monaco Grand Prix,46800000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,1.0,8.0,0.0,71899.0,71642.0,71642.0,45,42,Sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,71642.0,71899.0,71727.66666666667,27,15,250,0,0,0,0,0,0,0,0,0,0,1,1,1,0,0,0,0,0,322.0,91.0,84.0,86.0,87.0 +3.0,12,12,0.0,77,,43.0,4.0,74578.0,161.082,ricciardo,3.0,Australian,mclaren,British,2021,5,Monaco Grand Prix,46800000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,80.0,3.0,0.0,71747.0,71598.0,71598.0,35,32,Sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,71598.0,71747.0,71647.66666666667,22,10,193,0,0,0,0,0,2,1,0,1,0,0,0,0,0,0,0,0,0,231.0,94.0,91.0,88.0,90.0 +63.0,15,14,0.0,77,,59.0,15.0,75539.0,159.033,russell,63.0,British,williams,British,2021,5,Monaco Grand Prix,46800000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,0.0,9.0,0.0,72016.0,71830.0,71830.0,26,23,Sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,71830.0,72016.0,71892.0,21,2,43,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,1,0,0,135.0,76.0,99.0,83.0,84.0 +55.0,4,2,18.0,78,5945788.0,35.0,5.0,74621.0,160.989,sainz,55.0,Spanish,ferrari,Italian,2021,5,Monaco Grand Prix,46800000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,78.0,4.0,0.0,71324.0,70806.0,70611.0,30,27,Sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,70611.0,71324.0,70913.66666666667,21,6,124,0,0,0,0,1,0,1,1,0,0,1,0,0,0,0,0,0,0,178.0,88.0,94.0,85.0,87.0 +18.0,13,8,4.0,77,,74.0,8.0,74674.0,160.875,stroll,18.0,Canadian,aston_martin,British,2021,5,Monaco Grand Prix,46800000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,19.0,5.0,0.0,71979.0,71600.0,71600.0,26,23,Sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,71600.0,71979.0,71726.33333333333,19,4,83,0,0,0,0,0,0,0,1,0,1,1,0,0,1,0,0,0,0,145.0,93.0,82.0,82.0,83.0 +22.0,16,16,0.0,77,,66.0,2.0,74037.0,162.259,tsunoda,22.0,Japanese,alphatauri,Italian,2021,5,Monaco Grand Prix,46800000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,18.0,6.0,0.0,72096.0,72096.0,72096.0,24,21,Sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,72096.0,72096.0,72096.0,21,0,5,0,0,0,0,0,0,0,0,1,0,0,1,0,0,1,0,0,0,68.0,88.0,78.0,86.0,82.0 +5.0,8,5,10.0,78,5989411.0,33.0,11.0,75316.0,159.503,vettel,5.0,German,aston_martin,British,2021,5,Monaco Grand Prix,46800000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,19.0,5.0,0.0,72078.0,71309.0,71419.0,37,34,Sunny,1,0,0,0,0,Street circuit,Clockwise,3.337,78.0,260.286,71309.0,72078.0,71602.0,20,14,263,0,0,0,0,0,0,0,0,0,0,0,0,2,0,2,0,0,0,284.0,93.0,87.0,88.0,89.0 +14.0,8,6,8.0,51,8022792.0,42.0,11.0,105624.0,204.601,alonso,14.0,Spanish,alpine,French,2021,6,Azerbaijan Grand Prix,43200000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,25.0,7.0,0.0,102934.0,102195.0,102327.0,43,40,Sunny,1,0,0,0,0,Street circuit,Anti-clockwise,6.003,51.0,306.049,102195.0,102934.0,102485.33333333331,25,15,250,0,0,0,0,0,0,0,1,0,1,0,0,1,0,0,0,1,0,322.0,89.0,94.0,86.0,89.0 +77.0,10,12,0.0,51,8027674.0,43.0,12.0,105665.0,204.521,bottas,77.0,Finnish,mercedes,German,2021,6,Azerbaijan Grand Prix,43200000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,148.0,2.0,3.0,102701.0,102106.0,102659.0,35,32,Sunny,1,0,0,0,0,Street circuit,Anti-clockwise,6.003,51.0,306.049,102106.0,102701.0,102488.66666666669,24,8,163,3,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,207.0,89.0,99.0,92.0,92.0 +10.0,4,3,15.0,51,8019172.0,44.0,6.0,105220.0,205.386,gasly,10.0,French,alphatauri,Italian,2021,6,Azerbaijan Grand Prix,43200000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,39.0,5.0,0.0,102288.0,101932.0,101565.0,28,25,Sunny,1,0,0,0,0,Street circuit,Anti-clockwise,6.003,51.0,306.049,101565.0,102288.0,101928.33333333331,21,4,70,0,0,0,0,0,1,1,0,0,2,0,0,0,0,0,0,1,0,130.0,92.0,99.0,89.0,90.0 +99.0,20,11,0.0,51,8026664.0,44.0,9.0,105575.0,204.696,giovinazzi,99.0,Italian,alfa,Swiss,2021,6,Azerbaijan Grand Prix,43200000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,2.0,8.0,0.0,104238.0,104238.0,104238.0,31,28,Sunny,1,0,0,0,0,Street circuit,Anti-clockwise,6.003,51.0,306.049,104238.0,104238.0,104238.0,24,4,46,0,0,0,0,0,0,0,0,0,1,0,2,0,1,1,0,0,0,106.0,82.0,82.0,80.0,79.0 +44.0,2,15,0.0,51,8034078.0,43.0,3.0,104769.0,206.27,hamilton,44.0,British,mercedes,German,2021,6,Azerbaijan Grand Prix,43200000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,3.0,148.0,2.0,3.0,101545.0,101634.0,101450.0,39,36,Sunny,1,0,0,0,0,Street circuit,Anti-clockwise,6.003,51.0,306.049,101450.0,101634.0,101543.0,22,14,272,4,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,288.0,94.0,89.0,98.0,95.0 +6.0,16,16,0.0,51,8059789.0,42.0,17.0,106608.0,202.712,latifi,6.0,Canadian,williams,British,2021,6,Azerbaijan Grand Prix,43200000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,0.0,10.0,0.0,103128.0,103128.0,103128.0,29,26,Sunny,1,0,0,0,0,Street circuit,Anti-clockwise,6.003,51.0,306.049,103128.0,103128.0,103128.0,25,1,23,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,2,111.0,69.0,79.0,70.0,71.0 +16.0,1,4,12.0,51,8020238.0,46.0,8.0,105382.0,205.071,leclerc,16.0,Monegasque,ferrari,Italian,2021,6,Azerbaijan Grand Prix,43200000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,94.0,3.0,0.0,102241.0,101659.0,101218.0,27,24,Sunny,1,0,0,0,0,Street circuit,Anti-clockwise,6.003,51.0,306.049,101218.0,102241.0,101706.0,21,3,65,0,0,0,2,0,2,0,0,0,0,0,0,0,0,0,0,0,0,145.0,88.0,87.0,92.0,88.0 +9.0,18,14,0.0,51,8030725.0,40.0,19.0,107747.0,200.569,mazepin,9.0,Russian,haas,American,2021,6,Azerbaijan Grand Prix,43200000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,0.0,9.0,0.0,104238.0,104238.0,104238.0,25,22,Sunny,1,0,0,0,0,Street circuit,Anti-clockwise,6.003,51.0,306.049,104238.0,104238.0,104238.0,22,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,73.0,65.0,78.0,66.0,67.0 +47.0,17,13,0.0,51,8030651.0,41.0,18.0,107624.0,200.799,mick_schumacher,47.0,German,haas,American,2021,6,Azerbaijan Grand Prix,43200000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,0.0,9.0,0.0,104158.0,104158.0,104158.0,25,22,Sunny,1,0,0,0,0,Street circuit,Anti-clockwise,6.003,51.0,306.049,104158.0,104158.0,104158.0,22,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,1,2,73.0,65.0,81.0,83.0,76.0 +4.0,9,5,10.0,51,8021164.0,41.0,7.0,105326.0,205.18,norris,4.0,British,mclaren,British,2021,6,Azerbaijan Grand Prix,43200000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,92.0,4.0,0.0,102167.0,101813.0,101747.0,25,22,Sunny,1,0,0,0,0,Street circuit,Anti-clockwise,6.003,51.0,306.049,101747.0,102167.0,101909.0,20,2,44,2,0,2,1,1,0,0,1,0,0,0,0,0,0,0,0,0,0,135.0,96.0,99.0,89.0,91.0 +11.0,6,1,25.0,51,8016410.0,45.0,2.0,104687.0,206.432,perez,11.0,Mexican,red_bull,Austrian,2021,6,Azerbaijan Grand Prix,43200000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,174.0,1.0,3.0,101968.0,101630.0,101917.0,34,31,Sunny,1,0,0,0,0,Street circuit,Anti-clockwise,6.003,51.0,306.049,101630.0,101968.0,101838.33333333331,21,10,199,0,0,0,2,2,0,0,0,0,0,1,0,0,0,0,0,0,0,236.0,92.0,84.0,87.0,87.0 +7.0,14,10,1.0,51,8025986.0,43.0,10.0,105601.0,204.645,raikkonen,7.0,Finnish,alfa,Swiss,2021,6,Azerbaijan Grand Prix,43200000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,2.0,8.0,0.0,102923.0,102587.0,102587.0,45,42,Sunny,1,0,0,0,0,Street circuit,Anti-clockwise,6.003,51.0,306.049,102587.0,102923.0,102699.0,27,15,251,0,0,0,0,0,0,0,0,0,0,2,1,1,0,0,0,0,0,322.0,91.0,84.0,86.0,87.0 +3.0,13,9,2.0,51,8025284.0,43.0,14.0,105713.0,204.428,ricciardo,3.0,Australian,mclaren,British,2021,6,Azerbaijan Grand Prix,43200000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,92.0,4.0,0.0,102304.0,102558.0,102558.0,35,32,Sunny,1,0,0,0,0,Street circuit,Anti-clockwise,6.003,51.0,306.049,102304.0,102558.0,102473.33333333331,22,10,194,0,0,0,0,0,2,1,0,1,0,0,1,0,0,0,0,0,0,231.0,94.0,91.0,88.0,90.0 +55.0,5,8,4.0,51,8024119.0,42.0,13.0,105700.0,204.454,sainz,55.0,Spanish,ferrari,Italian,2021,6,Azerbaijan Grand Prix,43200000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,94.0,3.0,0.0,102121.0,101740.0,101576.0,30,27,Sunny,1,0,0,0,0,Street circuit,Anti-clockwise,6.003,51.0,306.049,101576.0,102121.0,101812.33333333331,21,6,125,1,1,0,0,1,0,1,1,0,0,1,0,0,0,0,0,0,0,178.0,88.0,94.0,85.0,87.0 +22.0,7,7,6.0,51,8023034.0,46.0,5.0,104939.0,205.936,tsunoda,22.0,Japanese,alphatauri,Italian,2021,6,Azerbaijan Grand Prix,43200000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,39.0,5.0,0.0,102521.0,101654.0,102211.0,24,21,Sunny,1,0,0,0,0,Street circuit,Anti-clockwise,6.003,51.0,306.049,101654.0,102521.0,102128.66666666669,21,0,6,0,0,0,0,0,0,0,0,1,0,0,1,0,0,1,1,0,0,68.0,88.0,78.0,86.0,82.0 +5.0,11,2,18.0,51,8017795.0,41.0,4.0,104890.0,206.032,vettel,5.0,German,aston_martin,British,2021,6,Azerbaijan Grand Prix,43200000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,37.0,6.0,0.0,102460.0,102224.0,102224.0,37,34,Sunny,1,0,0,0,0,Street circuit,Anti-clockwise,6.003,51.0,306.049,102224.0,102460.0,102302.66666666669,20,14,264,0,0,0,0,1,0,0,0,0,0,0,0,2,0,2,0,0,0,284.0,93.0,87.0,88.0,89.0 +14.0,9,8,4.0,53,5323465.0,44.0,7.0,97646.0,215.382,alonso,14.0,Spanish,alpine,French,2021,7,French Grand Prix,46800000.0,ricard,Le Castellet,France,43.2506,5.79167,432.0,Finished,0.0,29.0,7.0,0.0,92158.0,91549.0,91340.0,43,40,Windy and partly cloudy. Ambient temperature: 24 to 27 °C (75 to 81 °F); Surface temperature: 33 to 38 °C (91 to 100 °F),0,0,0,0,1,Race circuit,Clockwise,5.842,53.0,309.626,91340.0,92158.0,91682.33333333331,25,15,251,0,0,0,0,0,1,0,1,0,1,0,0,1,0,0,0,1,0,322.0,89.0,94.0,86.0,89.0 +77.0,3,4,12.0,53,5260388.0,19.0,3.0,96960.0,216.905,bottas,77.0,Finnish,mercedes,German,2021,7,French Grand Prix,46800000.0,ricard,Le Castellet,France,43.2506,5.79167,432.0,Finished,0.0,178.0,2.0,3.0,91669.0,90735.0,90376.0,35,32,Windy and partly cloudy. Ambient temperature: 24 to 27 °C (75 to 81 °F); Surface temperature: 33 to 38 °C (91 to 100 °F),0,0,0,0,1,Race circuit,Clockwise,5.842,53.0,309.626,90376.0,91669.0,90926.66666666669,24,8,164,3,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,207.0,89.0,99.0,92.0,92.0 +10.0,6,7,6.0,53,5322366.0,44.0,11.0,98103.0,214.378,gasly,10.0,French,alphatauri,Italian,2021,7,French Grand Prix,46800000.0,ricard,Le Castellet,France,43.2506,5.79167,432.0,Finished,0.0,45.0,5.0,0.0,91898.0,91353.0,90868.0,28,25,Windy and partly cloudy. Ambient temperature: 24 to 27 °C (75 to 81 °F); Surface temperature: 33 to 38 °C (91 to 100 °F),0,0,0,0,1,Race circuit,Clockwise,5.842,53.0,309.626,90868.0,91898.0,91373.0,21,4,71,1,0,1,0,0,1,1,0,0,2,0,0,0,0,0,0,1,0,130.0,92.0,99.0,89.0,90.0 +99.0,13,15,0.0,52,,36.0,16.0,98702.0,213.077,giovinazzi,99.0,Italian,alfa,Swiss,2021,7,French Grand Prix,46800000.0,ricard,Le Castellet,France,43.2506,5.79167,432.0,+1 Lap,0.0,2.0,8.0,0.0,92722.0,91813.0,91813.0,31,28,Windy and partly cloudy. Ambient temperature: 24 to 27 °C (75 to 81 °F); Surface temperature: 33 to 38 °C (91 to 100 °F),0,0,0,0,1,Race circuit,Clockwise,5.842,53.0,309.626,91813.0,92722.0,92116.0,24,4,47,0,0,0,0,0,0,0,0,0,1,1,2,0,1,1,0,0,0,106.0,82.0,82.0,80.0,79.0 +44.0,2,2,18.0,53,5248674.0,44.0,5.0,97410.0,215.903,hamilton,44.0,British,mercedes,German,2021,7,French Grand Prix,46800000.0,ricard,Le Castellet,France,43.2506,5.79167,432.0,Finished,3.0,178.0,2.0,3.0,91237.0,90788.0,90248.0,39,36,Windy and partly cloudy. Ambient temperature: 24 to 27 °C (75 to 81 °F); Surface temperature: 33 to 38 °C (91 to 100 °F),0,0,0,0,1,Race circuit,Clockwise,5.842,53.0,309.626,90248.0,91237.0,90757.66666666669,22,14,273,4,1,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,288.0,94.0,89.0,98.0,95.0 +6.0,16,18,0.0,52,,50.0,12.0,98313.0,213.92,latifi,6.0,Canadian,williams,British,2021,7,French Grand Prix,46800000.0,ricard,Le Castellet,France,43.2506,5.79167,432.0,+1 Lap,0.0,0.0,9.0,0.0,93062.0,93062.0,93062.0,29,26,Windy and partly cloudy. Ambient temperature: 24 to 27 °C (75 to 81 °F); Surface temperature: 33 to 38 °C (91 to 100 °F),0,0,0,0,1,Race circuit,Clockwise,5.842,53.0,309.626,93062.0,93062.0,93062.0,25,1,24,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,0,2,111.0,69.0,79.0,70.0,71.0 +16.0,7,16,0.0,52,,43.0,8.0,97681.0,215.304,leclerc,16.0,Monegasque,ferrari,Italian,2021,7,French Grand Prix,46800000.0,ricard,Le Castellet,France,43.2506,5.79167,432.0,+1 Lap,0.0,94.0,4.0,0.0,92209.0,91567.0,90987.0,27,24,Windy and partly cloudy. Ambient temperature: 24 to 27 °C (75 to 81 °F); Surface temperature: 33 to 38 °C (91 to 100 °F),0,0,0,0,1,Race circuit,Clockwise,5.842,53.0,309.626,90987.0,92209.0,91587.66666666669,21,3,66,0,0,0,3,0,2,0,0,0,0,0,0,0,0,0,0,0,0,145.0,88.0,87.0,92.0,88.0 +33.0,1,1,26.0,53,5245770.0,35.0,1.0,96404.0,218.156,max_verstappen,33.0,Dutch,red_bull,Austrian,2021,7,French Grand Prix,46800000.0,ricard,Le Castellet,France,43.2506,5.79167,432.0,Finished,2.0,215.0,1.0,4.0,91001.0,91080.0,89990.0,27,24,Windy and partly cloudy. Ambient temperature: 24 to 27 °C (75 to 81 °F); Surface temperature: 33 to 38 °C (91 to 100 °F),0,0,0,0,1,Race circuit,Clockwise,5.842,53.0,309.626,89990.0,91080.0,90690.33333333331,18,6,126,5,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,178.0,96.0,96.0,97.0,95.0 +9.0,18,20,0.0,52,,34.0,20.0,99317.0,211.758,mazepin,9.0,Russian,haas,American,2021,7,French Grand Prix,46800000.0,ricard,Le Castellet,France,43.2506,5.79167,432.0,+1 Lap,0.0,0.0,10.0,0.0,93554.0,93554.0,93554.0,25,22,Windy and partly cloudy. Ambient temperature: 24 to 27 °C (75 to 81 °F); Surface temperature: 33 to 38 °C (91 to 100 °F),0,0,0,0,1,Race circuit,Clockwise,5.842,53.0,309.626,93554.0,93554.0,93554.0,22,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,73.0,65.0,78.0,66.0,67.0 +47.0,15,19,0.0,52,,51.0,17.0,98847.0,212.765,mick_schumacher,47.0,German,haas,American,2021,7,French Grand Prix,46800000.0,ricard,Le Castellet,France,43.2506,5.79167,432.0,+1 Lap,0.0,0.0,10.0,0.0,92942.0,92942.0,92942.0,25,22,Windy and partly cloudy. Ambient temperature: 24 to 27 °C (75 to 81 °F); Surface temperature: 33 to 38 °C (91 to 100 °F),0,0,0,0,1,Race circuit,Clockwise,5.842,53.0,309.626,92942.0,92942.0,92942.0,22,0,7,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,1,2,73.0,65.0,81.0,83.0,76.0 +4.0,8,5,10.0,53,5309802.0,52.0,6.0,97425.0,215.87,norris,4.0,British,mclaren,British,2021,7,French Grand Prix,46800000.0,ricard,Le Castellet,France,43.2506,5.79167,432.0,Finished,0.0,110.0,3.0,0.0,91733.0,91542.0,91252.0,25,22,Windy and partly cloudy. Ambient temperature: 24 to 27 °C (75 to 81 °F); Surface temperature: 33 to 38 °C (91 to 100 °F),0,0,0,0,1,Race circuit,Clockwise,5.842,53.0,309.626,91252.0,91733.0,91509.0,20,2,45,2,0,2,1,2,0,0,1,0,0,0,0,0,0,0,0,0,0,135.0,96.0,99.0,89.0,91.0 +31.0,11,14,0.0,52,,33.0,15.0,98645.0,213.2,ocon,31.0,French,alpine,French,2021,7,French Grand Prix,46800000.0,ricard,Le Castellet,France,43.2506,5.79167,432.0,+1 Lap,0.0,29.0,7.0,0.0,92139.0,91736.0,91736.0,28,25,Windy and partly cloudy. Ambient temperature: 24 to 27 °C (75 to 81 °F); Surface temperature: 33 to 38 °C (91 to 100 °F),0,0,0,0,1,Race circuit,Clockwise,5.842,53.0,309.626,91736.0,92139.0,91870.33333333331,20,5,74,0,0,0,0,0,0,1,0,3,0,0,0,1,0,0,0,0,0,135.0,93.0,98.0,79.0,86.0 +11.0,4,3,15.0,53,5254581.0,53.0,2.0,96693.0,217.504,perez,11.0,Mexican,red_bull,Austrian,2021,7,French Grand Prix,46800000.0,ricard,Le Castellet,France,43.2506,5.79167,432.0,Finished,1.0,215.0,1.0,4.0,91560.0,90971.0,90445.0,34,31,Windy and partly cloudy. Ambient temperature: 24 to 27 °C (75 to 81 °F); Surface temperature: 33 to 38 °C (91 to 100 °F),0,0,0,0,1,Race circuit,Clockwise,5.842,53.0,309.626,90445.0,91560.0,90992.0,21,10,200,1,0,0,2,2,0,0,0,0,0,1,0,0,0,0,0,0,0,236.0,92.0,84.0,87.0,87.0 +7.0,17,17,0.0,52,,46.0,10.0,97992.0,214.621,raikkonen,7.0,Finnish,alfa,Swiss,2021,7,French Grand Prix,46800000.0,ricard,Le Castellet,France,43.2506,5.79167,432.0,+1 Lap,0.0,2.0,8.0,0.0,93354.0,93354.0,93354.0,45,42,Windy and partly cloudy. Ambient temperature: 24 to 27 °C (75 to 81 °F); Surface temperature: 33 to 38 °C (91 to 100 °F),0,0,0,0,1,Race circuit,Clockwise,5.842,53.0,309.626,93354.0,93354.0,93354.0,27,15,252,0,0,0,0,0,0,0,0,0,1,2,1,1,0,0,0,0,0,322.0,91.0,84.0,86.0,87.0 +3.0,10,6,8.0,53,5321627.0,45.0,14.0,98324.0,213.896,ricciardo,3.0,Australian,mclaren,British,2021,7,French Grand Prix,46800000.0,ricard,Le Castellet,France,43.2506,5.79167,432.0,Finished,0.0,110.0,3.0,0.0,92181.0,91615.0,91382.0,35,32,Windy and partly cloudy. Ambient temperature: 24 to 27 °C (75 to 81 °F); Surface temperature: 33 to 38 °C (91 to 100 °F),0,0,0,0,1,Race circuit,Clockwise,5.842,53.0,309.626,91382.0,92181.0,91726.0,22,10,195,0,0,0,0,0,2,1,0,2,0,0,1,0,0,0,0,0,0,231.0,94.0,91.0,88.0,90.0 +63.0,14,12,0.0,52,,52.0,13.0,98314.0,213.918,russell,63.0,British,williams,British,2021,7,French Grand Prix,46800000.0,ricard,Le Castellet,France,43.2506,5.79167,432.0,+1 Lap,0.0,0.0,9.0,0.0,93060.0,92065.0,92065.0,26,23,Windy and partly cloudy. Ambient temperature: 24 to 27 °C (75 to 81 °F); Surface temperature: 33 to 38 °C (91 to 100 °F),0,0,0,0,1,Race circuit,Clockwise,5.842,53.0,309.626,92065.0,93060.0,92396.66666666669,21,2,45,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,1,1,0,135.0,76.0,99.0,83.0,84.0 +55.0,5,11,0.0,53,5345107.0,19.0,18.0,98931.0,212.584,sainz,55.0,Spanish,ferrari,Italian,2021,7,French Grand Prix,46800000.0,ricard,Le Castellet,France,43.2506,5.79167,432.0,Finished,0.0,94.0,4.0,0.0,92079.0,91146.0,90840.0,30,27,Windy and partly cloudy. Ambient temperature: 24 to 27 °C (75 to 81 °F); Surface temperature: 33 to 38 °C (91 to 100 °F),0,0,0,0,1,Race circuit,Clockwise,5.842,53.0,309.626,90840.0,92079.0,91355.0,21,6,126,1,1,0,0,1,0,1,2,0,0,1,0,0,0,0,0,0,0,178.0,88.0,94.0,85.0,87.0 +18.0,19,10,1.0,53,5337716.0,44.0,9.0,97828.0,214.981,stroll,18.0,Canadian,aston_martin,British,2021,7,French Grand Prix,46800000.0,ricard,Le Castellet,France,43.2506,5.79167,432.0,Finished,0.0,40.0,6.0,0.0,93554.0,93554.0,93554.0,26,23,Windy and partly cloudy. Ambient temperature: 24 to 27 °C (75 to 81 °F); Surface temperature: 33 to 38 °C (91 to 100 °F),0,0,0,0,1,Race circuit,Clockwise,5.842,53.0,309.626,93554.0,93554.0,93554.0,19,4,85,0,0,0,0,0,0,0,2,0,1,1,0,0,1,0,0,0,0,145.0,93.0,82.0,82.0,83.0 +22.0,20,13,0.0,52,,18.0,19.0,98980.0,212.479,tsunoda,22.0,Japanese,alphatauri,Italian,2021,7,French Grand Prix,46800000.0,ricard,Le Castellet,France,43.2506,5.79167,432.0,+1 Lap,0.0,45.0,5.0,0.0,93554.0,93554.0,93554.0,24,21,Windy and partly cloudy. Ambient temperature: 24 to 27 °C (75 to 81 °F); Surface temperature: 33 to 38 °C (91 to 100 °F),0,0,0,0,1,Race circuit,Clockwise,5.842,53.0,309.626,93554.0,93554.0,93554.0,21,0,7,0,0,0,0,0,0,1,0,1,0,0,1,0,0,1,1,0,0,68.0,88.0,78.0,86.0,82.0 +5.0,12,9,2.0,53,5325436.0,52.0,4.0,97138.0,216.508,vettel,5.0,German,aston_martin,British,2021,7,French Grand Prix,46800000.0,ricard,Le Castellet,France,43.2506,5.79167,432.0,Finished,0.0,40.0,6.0,0.0,92132.0,91767.0,91767.0,37,34,Windy and partly cloudy. Ambient temperature: 24 to 27 °C (75 to 81 °F); Surface temperature: 33 to 38 °C (91 to 100 °F),0,0,0,0,1,Race circuit,Clockwise,5.842,53.0,309.626,91767.0,92132.0,91888.66666666669,20,14,265,1,1,0,0,1,0,0,0,0,0,0,0,2,0,2,0,0,0,284.0,93.0,87.0,88.0,89.0 +14.0,8,9,2.0,70,,61.0,13.0,69749.0,222.867,alonso,14.0,Spanish,alpine,French,2021,8,Styrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,31.0,7.0,0.0,64971.0,64581.99999999999,64574.0,43,40,Partly cloudy. Ambient temperature: 25 to 29 °C (77 to 84 °F); Surface temperature: 48 to 56 °C (118 to 133 °F),0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,64574.0,64971.0,64709.0,25,15,252,0,0,0,0,0,1,0,2,0,1,0,0,1,0,0,0,1,0,322.0,89.0,94.0,86.0,89.0 +77.0,5,3,15.0,71,4985832.0,43.0,5.0,68619.0,226.537,bottas,77.0,Finnish,mercedes,German,2021,8,Styrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,0.0,212.0,2.0,3.0,64537.00000000001,64443.0,64035.0,35,32,Partly cloudy. Ambient temperature: 25 to 29 °C (77 to 84 °F); Surface temperature: 48 to 56 °C (118 to 133 °F),0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,64035.0,64537.00000000001,64338.333333333336,24,8,165,3,0,3,1,0,0,0,0,0,0,0,1,0,0,0,0,0,1,207.0,89.0,99.0,92.0,92.0 +99.0,15,15,0.0,70,,39.0,12.0,69723.0,222.95,giovinazzi,99.0,Italian,alfa,Swiss,2021,8,Styrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,2.0,8.0,0.0,65092.0,64913.0,64913.0,31,28,Partly cloudy. Ambient temperature: 25 to 29 °C (77 to 84 °F); Surface temperature: 48 to 56 °C (118 to 133 °F),0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,64913.0,65092.0,64972.66666666666,24,4,48,0,0,0,0,0,0,0,0,0,1,1,2,0,1,2,0,0,0,106.0,82.0,82.0,80.0,79.0 +44.0,2,2,19.0,71,4974668.0,71.0,1.0,67058.0,231.811,hamilton,44.0,British,mercedes,German,2021,8,Styrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,3.0,212.0,2.0,3.0,64672.0,64512.0,64066.99999999999,39,36,Partly cloudy. Ambient temperature: 25 to 29 °C (77 to 84 °F); Surface temperature: 48 to 56 °C (118 to 133 °F),0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,64066.99999999999,64672.0,64417.0,22,14,274,5,2,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,288.0,94.0,89.0,98.0,95.0 +6.0,16,17,0.0,68,,34.0,17.0,70104.0,221.739,latifi,6.0,Canadian,williams,British,2021,8,Styrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+3 Laps,0.0,0.0,9.0,0.0,65175.0,65175.0,65175.0,29,26,Partly cloudy. Ambient temperature: 25 to 29 °C (77 to 84 °F); Surface temperature: 48 to 56 °C (118 to 133 °F),0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,65175.0,65175.0,65175.0,25,1,25,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,0,3,111.0,69.0,79.0,70.0,71.0 +16.0,7,7,6.0,70,,64.0,6.0,68738.0,226.145,leclerc,16.0,Monegasque,ferrari,Italian,2021,8,Styrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,108.0,4.0,0.0,64745.00000000001,64646.0,64471.99999999999,27,24,Partly cloudy. Ambient temperature: 25 to 29 °C (77 to 84 °F); Surface temperature: 48 to 56 °C (118 to 133 °F),0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,64471.99999999999,64745.00000000001,64621.0,21,3,67,0,0,0,3,0,2,0,0,0,0,0,0,0,0,0,1,0,0,145.0,88.0,87.0,92.0,88.0 +33.0,1,1,25.0,71,4938925.0,68.0,3.0,68017.0,228.542,max_verstappen,33.0,Dutch,red_bull,Austrian,2021,8,Styrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,3.0,252.0,1.0,5.0,64489.00000000001,64433.00000000001,63841.0,27,24,Partly cloudy. Ambient temperature: 25 to 29 °C (77 to 84 °F); Surface temperature: 48 to 56 °C (118 to 133 °F),0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,63841.0,64489.00000000001,64254.333333333336,18,6,127,6,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,178.0,96.0,96.0,97.0,95.0 +9.0,20,18,0.0,68,,39.0,19.0,70951.0,219.092,mazepin,9.0,Russian,haas,American,2021,8,Styrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+3 Laps,0.0,0.0,10.0,0.0,66192.0,66192.0,66192.0,25,22,Partly cloudy. Ambient temperature: 25 to 29 °C (77 to 84 °F); Surface temperature: 48 to 56 °C (118 to 133 °F),0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,66192.0,66192.0,66192.0,22,0,8,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,73.0,65.0,78.0,66.0,67.0 +47.0,19,16,0.0,69,,57.0,16.0,70005.0,222.052,mick_schumacher,47.0,German,haas,American,2021,8,Styrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+2 Laps,0.0,0.0,10.0,0.0,66041.0,66041.0,66041.0,25,22,Partly cloudy. Ambient temperature: 25 to 29 °C (77 to 84 °F); Surface temperature: 48 to 56 °C (118 to 133 °F),0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,66041.0,66041.0,66041.0,22,0,8,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,1,2,73.0,65.0,81.0,83.0,76.0 +4.0,3,5,10.0,70,,65.0,7.0,68903.0,225.604,norris,4.0,British,mclaren,British,2021,8,Styrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,120.0,3.0,0.0,64584.0,64298.0,64120.00000000001,25,22,Partly cloudy. Ambient temperature: 25 to 29 °C (77 to 84 °F); Surface temperature: 48 to 56 °C (118 to 133 °F),0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,64120.00000000001,64584.0,64334.0,20,2,46,2,0,2,1,3,0,0,1,0,0,0,0,0,0,0,0,0,0,135.0,96.0,99.0,89.0,91.0 +31.0,17,14,0.0,70,,70.0,10.0,69576.0,223.421,ocon,31.0,French,alpine,French,2021,8,Styrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,31.0,7.0,0.0,65217.0,65217.0,65217.0,28,25,Partly cloudy. Ambient temperature: 25 to 29 °C (77 to 84 °F); Surface temperature: 48 to 56 °C (118 to 133 °F),0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,65217.0,65217.0,65217.0,20,5,75,0,0,0,0,0,0,1,0,3,0,0,0,1,1,0,0,0,0,135.0,93.0,98.0,79.0,86.0 +11.0,4,4,12.0,71,4986359.0,57.0,2.0,67894.0,228.956,perez,11.0,Mexican,red_bull,Austrian,2021,8,Styrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,1.0,252.0,1.0,5.0,64638.00000000001,64197.0,64168.00000000001,34,31,Partly cloudy. Ambient temperature: 25 to 29 °C (77 to 84 °F); Surface temperature: 48 to 56 °C (118 to 133 °F),0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,64168.00000000001,64638.00000000001,64334.333333333336,21,10,201,2,0,1,2,2,0,0,0,0,0,1,0,0,0,0,0,0,0,236.0,92.0,84.0,87.0,87.0 +7.0,18,11,0.0,70,,57.0,8.0,69128.0,224.869,raikkonen,7.0,Finnish,alfa,Swiss,2021,8,Styrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,2.0,8.0,0.0,65429.0,65429.0,65429.0,45,42,Partly cloudy. Ambient temperature: 25 to 29 °C (77 to 84 °F); Surface temperature: 48 to 56 °C (118 to 133 °F),0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,65429.0,65429.0,65429.0,27,15,253,0,0,0,0,0,0,0,0,0,1,2,1,1,0,0,0,1,0,322.0,91.0,84.0,86.0,87.0 +3.0,13,13,0.0,70,,45.0,9.0,69305.0,224.295,ricciardo,3.0,Australian,mclaren,British,2021,8,Styrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,120.0,3.0,0.0,65141.99999999999,64808.00000000001,64808.00000000001,35,32,Partly cloudy. Ambient temperature: 25 to 29 °C (77 to 84 °F); Surface temperature: 48 to 56 °C (118 to 133 °F),0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,64808.00000000001,65141.99999999999,64919.333333333336,22,10,196,0,0,0,0,0,3,1,0,2,0,0,1,0,0,0,0,0,0,231.0,94.0,91.0,88.0,90.0 +55.0,12,6,8.0,70,,64.0,4.0,68609.0,226.57,sainz,55.0,Spanish,ferrari,Italian,2021,8,Styrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,108.0,4.0,0.0,64858.99999999999,64800.0,64800.0,30,27,Partly cloudy. Ambient temperature: 25 to 29 °C (77 to 84 °F); Surface temperature: 48 to 56 °C (118 to 133 °F),0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,64800.0,64858.99999999999,64819.66666666666,21,6,127,1,1,0,0,1,0,1,2,0,0,2,0,0,0,0,0,0,0,178.0,88.0,94.0,85.0,87.0 +18.0,9,8,4.0,70,,32.0,14.0,69787.0,222.746,stroll,18.0,Canadian,aston_martin,British,2021,8,Styrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,44.0,6.0,0.0,64821.0,64663.0,64708.0,26,23,Partly cloudy. Ambient temperature: 25 to 29 °C (77 to 84 °F); Surface temperature: 48 to 56 °C (118 to 133 °F),0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,64663.0,64821.0,64730.66666666666,19,4,86,0,0,0,0,0,0,0,2,0,2,1,0,0,1,0,0,0,0,145.0,93.0,82.0,82.0,83.0 +22.0,11,10,1.0,70,,41.0,11.0,69650.0,223.184,tsunoda,22.0,Japanese,alphatauri,Italian,2021,8,Styrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,46.0,5.0,0.0,64608.00000000001,64631.0,64513.99999999999,24,21,Partly cloudy. Ambient temperature: 25 to 29 °C (77 to 84 °F); Surface temperature: 48 to 56 °C (118 to 133 °F),0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,64513.99999999999,64631.0,64584.333333333336,21,0,8,0,0,0,0,0,0,1,0,1,0,0,1,1,0,1,1,0,0,68.0,88.0,78.0,86.0,82.0 +5.0,14,12,0.0,70,,64.0,15.0,69821.0,222.637,vettel,5.0,German,aston_martin,British,2021,8,Styrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,44.0,6.0,0.0,65051.0,64875.0,64875.0,37,34,Partly cloudy. Ambient temperature: 25 to 29 °C (77 to 84 °F); Surface temperature: 48 to 56 °C (118 to 133 °F),0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,64875.0,65051.0,64933.66666666666,20,14,266,1,1,0,0,1,0,0,0,1,0,0,0,2,0,2,0,0,0,284.0,93.0,87.0,88.0,89.0 +14.0,14,10,1.0,70,,70.0,7.0,68405.0,227.246,alonso,14.0,Spanish,alpine,French,2021,9,Austrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,32.0,7.0,0.0,64471.99999999999,64855.99999999999,64855.99999999999,43,40,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,64471.99999999999,64855.99999999999,64727.99999999999,25,15,253,0,0,0,0,0,1,0,2,1,1,0,0,1,0,0,0,1,0,322.0,89.0,94.0,86.0,89.0 +77.0,5,2,18.0,71,5052516.0,52.0,6.0,68374.0,227.349,bottas,77.0,Finnish,mercedes,German,2021,9,Austrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,0.0,242.0,2.0,3.0,64563.0,64376.00000000001,64049.00000000001,35,32,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,64049.00000000001,64563.0,64329.333333333336,24,8,166,4,0,4,1,0,0,0,0,0,0,0,1,0,0,0,0,0,1,207.0,89.0,99.0,92.0,92.0 +10.0,6,9,2.0,71,5096387.0,54.0,4.0,68146.0,228.11,gasly,10.0,French,alphatauri,Italian,2021,9,Austrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,0.0,48.0,5.0,0.0,64840.99999999999,64412.00000000001,64107.0,28,25,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,64107.0,64840.99999999999,64453.333333333336,21,4,73,1,0,1,0,0,1,2,0,0,2,0,0,0,0,0,0,1,0,130.0,92.0,99.0,89.0,90.0 +99.0,15,14,0.0,70,,55.0,17.0,69042.0,225.149,giovinazzi,99.0,Italian,alfa,Swiss,2021,9,Austrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,2.0,8.0,0.0,64782.0,65083.0,65083.0,31,28,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,64782.0,65083.0,64982.66666666666,24,4,49,0,0,0,0,0,0,0,0,0,1,1,2,0,1,3,0,0,0,106.0,82.0,82.0,80.0,79.0 +44.0,4,4,12.0,71,5080995.0,55.0,3.0,68126.0,228.177,hamilton,44.0,British,mercedes,German,2021,9,Austrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,3.0,242.0,2.0,3.0,64506.0,64257.99999999999,64013.99999999999,39,36,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,64013.99999999999,64506.0,64259.333333333336,22,14,275,6,3,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,288.0,94.0,89.0,98.0,95.0 +6.0,18,16,0.0,70,,62.0,11.0,68520.0,226.865,latifi,6.0,Canadian,williams,British,2021,9,Austrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,0.0,9.0,0.0,65194.99999999999,65194.99999999999,65194.99999999999,29,26,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,65194.99999999999,65194.99999999999,65194.99999999999,25,1,26,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,1,3,111.0,69.0,79.0,70.0,71.0 +16.0,12,8,4.0,71,5095738.0,55.0,13.0,68698.0,226.277,leclerc,16.0,Monegasque,ferrari,Italian,2021,9,Austrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,0.0,122.0,4.0,0.0,64906.00000000001,64599.99999999999,64599.99999999999,27,24,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,64599.99999999999,64906.00000000001,64702.0,21,3,68,0,0,0,3,0,2,1,0,0,0,0,0,0,0,0,1,0,0,145.0,88.0,87.0,92.0,88.0 +33.0,1,1,26.0,71,5034543.0,62.0,1.0,66200.0,234.815,max_verstappen,33.0,Dutch,red_bull,Austrian,2021,9,Austrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,4.0,286.0,1.0,6.0,64248.99999999999,63927.0,63720.0,27,24,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,63720.0,64248.99999999999,63965.333333333336,18,6,128,7,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,178.0,96.0,96.0,97.0,95.0 +9.0,20,19,0.0,69,,49.0,19.0,69757.0,222.842,mazepin,9.0,Russian,haas,American,2021,9,Austrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+2 Laps,0.0,0.0,10.0,0.0,65951.0,65951.0,65951.0,25,22,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,65951.0,65951.0,65951.0,22,0,9,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,1,73.0,65.0,78.0,66.0,67.0 +47.0,19,18,0.0,69,,56.0,18.0,69394.0,224.007,mick_schumacher,47.0,German,haas,American,2021,9,Austrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+2 Laps,0.0,0.0,10.0,0.0,65427.00000000001,65427.00000000001,65427.00000000001,25,22,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,65427.00000000001,65427.00000000001,65427.00000000001,22,0,9,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,3,1,2,73.0,65.0,81.0,83.0,76.0 +4.0,2,3,15.0,71,5054562.0,62.0,10.0,68471.0,227.027,norris,4.0,British,mclaren,British,2021,9,Austrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,0.0,141.0,3.0,0.0,64345.0,64415.00000000001,63768.0,25,22,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,63768.0,64415.00000000001,64176.0,20,2,47,2,0,2,1,4,0,0,1,0,0,0,0,0,0,0,0,0,0,135.0,96.0,99.0,89.0,91.0 +11.0,3,6,8.0,71,5092458.0,55.0,5.0,68192.0,227.956,perez,11.0,Mexican,red_bull,Austrian,2021,9,Austrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,1.0,286.0,1.0,6.0,64833.0,64483.00000000001,63990.0,34,31,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,63990.0,64833.0,64435.333333333336,21,10,202,2,0,1,3,2,0,0,0,0,0,1,0,0,0,0,0,0,0,236.0,92.0,84.0,87.0,87.0 +7.0,16,15,0.0,70,,69.0,15.0,68874.0,225.699,raikkonen,7.0,Finnish,alfa,Swiss,2021,9,Austrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,2.0,8.0,0.0,65009.0,65009.0,65009.0,45,42,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,65009.0,65009.0,65009.0,27,15,254,0,0,0,0,0,0,0,0,0,1,3,1,1,0,0,0,1,0,322.0,91.0,84.0,86.0,87.0 +3.0,13,7,6.0,71,5094938.0,56.0,14.0,68820.0,225.876,ricciardo,3.0,Australian,mclaren,British,2021,9,Austrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,0.0,141.0,3.0,0.0,64977.00000000001,64718.99999999999,64718.99999999999,35,32,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,64718.99999999999,64977.00000000001,64805.0,22,10,197,0,0,0,0,0,3,1,0,2,0,0,1,1,0,0,0,0,0,231.0,94.0,91.0,88.0,90.0 +63.0,8,11,0.0,70,,56.0,16.0,68900.0,225.613,russell,63.0,British,williams,British,2021,9,Austrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,0.0,9.0,0.0,64907.0,64553.0,64590.99999999999,26,23,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,64553.0,64907.0,64683.66666666666,21,2,47,0,0,0,0,0,0,0,0,0,0,0,1,0,3,0,1,1,0,135.0,76.0,99.0,83.0,84.0 +55.0,10,5,10.0,71,5091687.0,70.0,2.0,67762.0,229.402,sainz,55.0,Spanish,ferrari,Italian,2021,9,Austrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,0.0,122.0,4.0,0.0,64596.0,64559.0,64559.0,30,27,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,64559.0,64596.0,64571.333333333336,21,6,128,1,1,0,0,1,1,1,2,0,0,2,0,0,0,0,0,0,0,178.0,88.0,94.0,85.0,87.0 +18.0,9,13,0.0,70,,54.0,12.0,68659.0,226.405,stroll,18.0,Canadian,aston_martin,British,2021,9,Austrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,44.0,6.0,0.0,64927.00000000001,64547.0,64617.99999999999,26,23,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,64547.0,64927.00000000001,64697.333333333336,19,4,87,0,0,0,0,0,0,0,3,0,2,1,0,0,1,0,0,0,0,145.0,93.0,82.0,82.0,83.0 +22.0,7,12,0.0,70,,54.0,9.0,68455.0,227.08,tsunoda,22.0,Japanese,alphatauri,Italian,2021,9,Austrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,48.0,5.0,0.0,64967.0,64518.0,64272.99999999999,24,21,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,64272.99999999999,64967.0,64586.0,21,0,9,0,0,0,0,0,0,1,0,1,1,0,1,1,0,1,1,0,0,68.0,88.0,78.0,86.0,82.0 +14.0,7,7,6.0,52,7175377.0,48.0,10.0,91698.0,231.276,alonso,14.0,Spanish,alpine,French,2021,10,British Grand Prix,50400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,40.0,7.0,0.0,87580.0,87245.0,87245.0,43,40,Clear. Ambient: 29 to 31 °C (84 to 88 °F); Surface: 48 to 52 °C (118 to 126 °F),1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,87245.0,87580.0,87356.66666666667,25,15,254,0,0,0,0,0,1,0,2,1,2,0,0,1,0,0,0,1,0,322.0,89.0,94.0,86.0,89.0 +77.0,3,3,15.0,52,7114409.0,45.0,4.0,90524.0,234.275,bottas,77.0,Finnish,mercedes,German,2021,10,British Grand Prix,50400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,285.0,2.0,4.0,87487.0,86764.0,86328.0,35,32,Clear. Ambient: 29 to 31 °C (84 to 88 °F); Surface: 48 to 52 °C (118 to 126 °F),1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,86328.0,87487.0,86859.66666666667,24,8,167,5,1,4,1,0,0,0,0,0,0,0,1,0,0,0,0,0,1,207.0,89.0,99.0,92.0,92.0 +10.0,11,11,0.0,52,7188611.0,52.0,3.0,90266.0,234.945,gasly,10.0,French,alphatauri,Italian,2021,10,British Grand Prix,50400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,49.0,5.0,0.0,87600.0,87273.0,87273.0,28,25,Clear. Ambient: 29 to 31 °C (84 to 88 °F); Surface: 48 to 52 °C (118 to 126 °F),1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,87273.0,87600.0,87382.0,21,4,74,1,0,1,0,0,1,2,0,1,2,0,0,0,0,0,0,1,0,130.0,92.0,99.0,89.0,90.0 +99.0,15,13,0.0,51,,49.0,15.0,92346.0,229.653,giovinazzi,99.0,Italian,alfa,Swiss,2021,10,British Grand Prix,50400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,2.0,8.0,0.0,87595.0,87617.0,87617.0,31,28,Clear. Ambient: 29 to 31 °C (84 to 88 °F); Surface: 48 to 52 °C (118 to 126 °F),1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,87595.0,87617.0,87609.66666666667,24,4,50,0,0,0,0,0,0,0,0,0,1,1,2,0,2,3,0,0,0,106.0,82.0,82.0,80.0,79.0 +44.0,2,1,25.0,52,7103284.0,45.0,2.0,89699.0,236.43,hamilton,44.0,British,mercedes,German,2021,10,British Grand Prix,50400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,3.0,285.0,2.0,4.0,86786.0,86023.0,86134.0,39,36,Clear. Ambient: 29 to 31 °C (84 to 88 °F); Surface: 48 to 52 °C (118 to 126 °F),1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,86023.0,86786.0,86314.33333333333,22,14,276,6,3,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,288.0,94.0,89.0,98.0,95.0 +6.0,17,14,0.0,51,,51.0,16.0,92477.0,229.328,latifi,6.0,Canadian,williams,British,2021,10,British Grand Prix,50400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,0.0,9.0,0.0,88254.0,88254.0,88254.0,29,26,Clear. Ambient: 29 to 31 °C (84 to 88 °F); Surface: 48 to 52 °C (118 to 126 °F),1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,88254.0,88254.0,88254.0,25,1,27,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,3,1,3,111.0,69.0,79.0,70.0,71.0 +16.0,4,2,18.0,52,7107155.0,45.0,5.0,90569.0,234.159,leclerc,16.0,Monegasque,ferrari,Italian,2021,10,British Grand Prix,50400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,148.0,4.0,0.0,87051.0,86919.0,86828.0,27,24,Clear. Ambient: 29 to 31 °C (84 to 88 °F); Surface: 48 to 52 °C (118 to 126 °F),1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,86828.0,87051.0,86932.66666666667,21,3,69,0,0,0,3,0,2,1,1,0,0,0,0,0,0,0,1,0,0,145.0,88.0,87.0,92.0,88.0 +9.0,19,17,0.0,51,,51.0,18.0,92909.0,228.262,mazepin,9.0,Russian,haas,American,2021,10,British Grand Prix,50400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,0.0,10.0,0.0,89051.0,89051.0,89051.0,25,22,Clear. Ambient: 29 to 31 °C (84 to 88 °F); Surface: 48 to 52 °C (118 to 126 °F),1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,89051.0,89051.0,89051.0,22,0,10,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,1,73.0,65.0,78.0,66.0,67.0 +47.0,18,18,0.0,51,,50.0,17.0,92862.0,228.377,mick_schumacher,47.0,German,haas,American,2021,10,British Grand Prix,50400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,0.0,10.0,0.0,88738.0,88738.0,88738.0,25,22,Clear. Ambient: 29 to 31 °C (84 to 88 °F); Surface: 48 to 52 °C (118 to 126 °F),1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,88738.0,88738.0,88738.0,22,0,10,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,3,1,3,73.0,65.0,81.0,83.0,76.0 +4.0,5,4,12.0,52,7131857.0,44.0,9.0,91420.0,231.979,norris,4.0,British,mclaren,British,2021,10,British Grand Prix,50400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,163.0,3.0,0.0,87444.0,87220.0,86897.0,25,22,Clear. Ambient: 29 to 31 °C (84 to 88 °F); Surface: 48 to 52 °C (118 to 126 °F),1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,86897.0,87444.0,87187.0,20,2,48,3,0,3,1,4,0,0,1,0,0,0,0,0,0,0,0,0,0,135.0,96.0,99.0,89.0,91.0 +31.0,9,9,2.0,52,7179446.0,48.0,14.0,92210.0,229.992,ocon,31.0,French,alpine,French,2021,10,British Grand Prix,50400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,40.0,7.0,0.0,87415.0,87340.0,87340.0,28,25,Clear. Ambient: 29 to 31 °C (84 to 88 °F); Surface: 48 to 52 °C (118 to 126 °F),1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,87340.0,87415.0,87365.0,20,5,77,0,0,0,0,0,0,1,0,3,0,0,0,1,2,0,0,0,0,135.0,93.0,98.0,79.0,86.0 +11.0,20,16,0.0,51,,50.0,1.0,88617.0,239.317,perez,11.0,Mexican,red_bull,Austrian,2021,10,British Grand Prix,50400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,1.0,289.0,1.0,6.0,87121.0,87073.0,86844.0,34,31,Clear. Ambient: 29 to 31 °C (84 to 88 °F); Surface: 48 to 52 °C (118 to 126 °F),1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,86844.0,87121.0,87012.66666666667,21,10,203,2,0,1,3,2,1,0,0,0,0,1,0,0,0,0,0,0,0,236.0,92.0,84.0,87.0,87.0 +7.0,13,15,0.0,51,,48.0,11.0,91895.0,230.78,raikkonen,7.0,Finnish,alfa,Swiss,2021,10,British Grand Prix,50400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,2.0,8.0,0.0,88062.0,88062.0,88062.0,45,42,Clear. Ambient: 29 to 31 °C (84 to 88 °F); Surface: 48 to 52 °C (118 to 126 °F),1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,88062.0,88062.0,88062.0,27,15,255,0,0,0,0,0,0,0,0,0,1,3,1,1,0,1,0,1,0,322.0,91.0,84.0,86.0,87.0 +3.0,6,5,10.0,52,7145908.0,51.0,8.0,91284.0,232.325,ricciardo,3.0,Australian,mclaren,British,2021,10,British Grand Prix,50400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,163.0,3.0,0.0,87323.0,87125.0,86899.0,35,32,Clear. Ambient: 29 to 31 °C (84 to 88 °F); Surface: 48 to 52 °C (118 to 126 °F),1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,86899.0,87323.0,87115.66666666667,22,10,198,0,0,0,0,0,3,2,0,2,0,0,1,1,0,0,0,0,0,231.0,94.0,91.0,88.0,90.0 +63.0,12,12,0.0,51,,49.0,13.0,92049.0,230.394,russell,63.0,British,williams,British,2021,10,British Grand Prix,50400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,+1 Lap,0.0,0.0,9.0,0.0,87671.0,87080.0,86971.0,26,23,Clear. Ambient: 29 to 31 °C (84 to 88 °F); Surface: 48 to 52 °C (118 to 126 °F),1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,86971.0,87671.0,87240.66666666667,21,2,48,0,0,0,0,0,0,0,0,0,0,1,1,0,3,0,1,1,0,135.0,76.0,99.0,83.0,84.0 +55.0,10,6,8.0,52,7146738.0,51.0,7.0,91223.0,232.48,sainz,55.0,Spanish,ferrari,Italian,2021,10,British Grand Prix,50400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,148.0,4.0,0.0,87337.0,86848.0,87007.0,30,27,Clear. Ambient: 29 to 31 °C (84 to 88 °F); Surface: 48 to 52 °C (118 to 126 °F),1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,86848.0,87337.0,87064.0,21,6,129,1,1,0,0,2,1,1,2,0,0,2,0,0,0,0,0,0,0,178.0,88.0,94.0,85.0,87.0 +18.0,14,8,4.0,52,7177573.0,48.0,12.0,91992.0,230.537,stroll,18.0,Canadian,aston_martin,British,2021,10,British Grand Prix,50400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,48.0,6.0,0.0,88017.0,87665.0,87665.0,26,23,Clear. Ambient: 29 to 31 °C (84 to 88 °F); Surface: 48 to 52 °C (118 to 126 °F),1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,87665.0,88017.0,87782.33333333333,19,4,88,0,0,0,0,0,0,0,3,0,2,1,0,1,1,0,0,0,0,145.0,93.0,82.0,82.0,83.0 +22.0,16,10,1.0,52,7185349.0,51.0,6.0,90826.0,233.497,tsunoda,22.0,Japanese,alphatauri,Italian,2021,10,British Grand Prix,50400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,49.0,5.0,0.0,88043.0,88043.0,88043.0,24,21,Clear. Ambient: 29 to 31 °C (84 to 88 °F); Surface: 48 to 52 °C (118 to 126 °F),1,0,0,0,0,Race circuit,Clockwise,5.891,52.0,306.198,88043.0,88043.0,88043.0,21,0,10,0,0,0,0,0,0,1,0,1,1,0,2,1,0,1,1,0,0,68.0,88.0,78.0,86.0,82.0 +14.0,9,4,12.0,70,7498850.0,41.0,3.0,80359.0,196.264,alonso,14.0,Spanish,alpine,French,2021,11,Hungarian Grand Prix,46800000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,77.0,5.0,0.0,77123.0,76541.0,76715.0,43,40,Rain and sunny. Ambient: 26 to 29 °C (79 to 84 °F); Surface: 31 to 52 °C (88 to 126 °F).[3],1,0,0,1,0,Race circuit,Clockwise,4.381,70.0,306.63,76541.0,77123.0,76793.0,25,15,255,0,0,0,0,0,1,1,2,1,2,0,0,1,0,0,0,1,0,322.0,89.0,94.0,86.0,89.0 +10.0,5,5,11.0,70,7546813.0,70.0,1.0,78394.0,201.183,gasly,10.0,French,alphatauri,Italian,2021,11,Hungarian Grand Prix,46800000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,68.0,6.0,0.0,76874.0,76394.0,76483.0,28,25,Rain and sunny. Ambient: 26 to 29 °C (79 to 84 °F); Surface: 31 to 52 °C (88 to 126 °F).[3],1,0,0,1,0,Race circuit,Clockwise,4.381,70.0,306.63,76394.0,76874.0,76583.66666666667,21,4,75,1,0,1,0,0,1,2,0,1,2,1,0,0,0,0,0,1,0,130.0,92.0,99.0,89.0,90.0 +99.0,21,13,0.0,69,,44.0,12.0,82736.0,190.625,giovinazzi,99.0,Italian,alfa,Swiss,2021,11,Hungarian Grand Prix,46800000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,3.0,9.0,0.0,77776.0,77583.0,77583.0,31,28,Rain and sunny. Ambient: 26 to 29 °C (79 to 84 °F); Surface: 31 to 52 °C (88 to 126 °F).[3],1,0,0,1,0,Race circuit,Clockwise,4.381,70.0,306.63,77583.0,77776.0,77647.33333333333,24,4,51,0,0,0,0,0,0,0,0,0,1,1,2,1,2,3,0,0,0,106.0,82.0,82.0,80.0,79.0 +44.0,1,2,18.0,70,7485935.0,49.0,2.0,78715.0,200.363,hamilton,44.0,British,mercedes,German,2021,11,Hungarian Grand Prix,46800000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,4.0,303.0,1.0,4.0,76424.0,76553.0,75419.0,39,36,Rain and sunny. Ambient: 26 to 29 °C (79 to 84 °F); Surface: 31 to 52 °C (88 to 126 °F).[3],1,0,0,1,0,Race circuit,Clockwise,4.381,70.0,306.63,75419.0,76553.0,76132.0,22,14,277,7,3,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,288.0,94.0,89.0,98.0,95.0 +6.0,18,7,6.0,70,7561109.0,62.0,14.0,82831.0,190.406,latifi,6.0,Canadian,williams,British,2021,11,Hungarian Grand Prix,46800000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,10.0,8.0,0.0,78036.0,78036.0,78036.0,29,26,Rain and sunny. Ambient: 26 to 29 °C (79 to 84 °F); Surface: 31 to 52 °C (88 to 126 °F).[3],1,0,0,1,0,Race circuit,Clockwise,4.381,70.0,306.63,78036.0,78036.0,78036.0,25,1,28,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,3,1,3,111.0,69.0,79.0,70.0,71.0 +33.0,3,9,2.0,70,7563443.0,43.0,4.0,80945.0,194.843,max_verstappen,33.0,Dutch,red_bull,Austrian,2021,11,Hungarian Grand Prix,46800000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,5.0,291.0,2.0,6.0,76214.0,75650.0,75840.0,27,24,Rain and sunny. Ambient: 26 to 29 °C (79 to 84 °F); Surface: 31 to 52 °C (88 to 126 °F).[3],1,0,0,1,0,Race circuit,Clockwise,4.381,70.0,306.63,75650.0,76214.0,75901.33333333333,18,6,130,8,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,178.0,96.0,96.0,97.0,95.0 +47.0,20,12,0.0,69,,44.0,11.0,82711.0,190.683,mick_schumacher,47.0,German,haas,American,2021,11,Hungarian Grand Prix,46800000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,0.0,10.0,0.0,78922.0,78922.0,78922.0,25,22,Rain and sunny. Ambient: 26 to 29 °C (79 to 84 °F); Surface: 31 to 52 °C (88 to 126 °F).[3],1,0,0,1,0,Race circuit,Clockwise,4.381,70.0,306.63,78922.0,78922.0,78922.0,22,0,11,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,3,1,4,73.0,65.0,81.0,83.0,76.0 +31.0,8,1,25.0,70,7483199.0,54.0,5.0,81421.0,193.704,ocon,31.0,French,alpine,French,2021,11,Hungarian Grand Prix,46800000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,77.0,5.0,1.0,77367.0,76766.0,76653.0,28,25,Rain and sunny. Ambient: 26 to 29 °C (79 to 84 °F); Surface: 31 to 52 °C (88 to 126 °F).[3],1,0,0,1,0,Race circuit,Clockwise,4.381,70.0,306.63,76653.0,77367.0,76928.66666666667,20,5,78,0,0,0,0,0,0,1,0,4,0,0,0,1,2,0,0,0,0,135.0,93.0,98.0,79.0,86.0 +7.0,13,10,1.0,69,,58.0,8.0,81518.0,193.473,raikkonen,7.0,Finnish,alfa,Swiss,2021,11,Hungarian Grand Prix,46800000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,3.0,9.0,0.0,77553.0,77564.0,77564.0,45,42,Rain and sunny. Ambient: 26 to 29 °C (79 to 84 °F); Surface: 31 to 52 °C (88 to 126 °F).[3],1,0,0,1,0,Race circuit,Clockwise,4.381,70.0,306.63,77553.0,77564.0,77560.33333333333,27,15,256,0,0,0,0,0,0,0,0,0,1,3,1,1,0,2,0,1,0,322.0,91.0,84.0,86.0,87.0 +3.0,11,11,0.0,69,,58.0,13.0,82802.0,190.473,ricciardo,3.0,Australian,mclaren,British,2021,11,Hungarian Grand Prix,46800000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,163.0,4.0,0.0,77664.0,76871.0,76871.0,35,32,Rain and sunny. Ambient: 26 to 29 °C (79 to 84 °F); Surface: 31 to 52 °C (88 to 126 °F).[3],1,0,0,1,0,Race circuit,Clockwise,4.381,70.0,306.63,76871.0,77664.0,77135.33333333333,22,10,199,0,0,0,0,1,3,2,0,2,0,0,1,1,0,0,0,0,0,231.0,94.0,91.0,88.0,90.0 +63.0,17,8,4.0,70,7562293.0,62.0,9.0,82112.0,192.074,russell,63.0,British,williams,British,2021,11,Hungarian Grand Prix,46800000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,10.0,8.0,0.0,77944.0,77944.0,77944.0,26,23,Rain and sunny. Ambient: 26 to 29 °C (79 to 84 °F); Surface: 31 to 52 °C (88 to 126 °F).[3],1,0,0,1,0,Race circuit,Clockwise,4.381,70.0,306.63,77944.0,77944.0,77944.0,21,2,49,0,0,0,0,0,0,0,0,0,0,1,2,0,3,0,1,1,0,135.0,76.0,99.0,83.0,84.0 +55.0,15,3,15.0,70,7498217.0,54.0,6.0,81423.0,193.699,sainz,55.0,Spanish,ferrari,Italian,2021,11,Hungarian Grand Prix,46800000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,163.0,3.0,0.0,76649.0,76649.0,76649.0,30,27,Rain and sunny. Ambient: 26 to 29 °C (79 to 84 °F); Surface: 31 to 52 °C (88 to 126 °F).[3],1,0,0,1,0,Race circuit,Clockwise,4.381,70.0,306.63,76649.0,76649.0,76649.0,21,6,130,1,1,0,0,2,2,1,2,0,0,2,0,0,0,0,0,0,0,178.0,88.0,94.0,85.0,87.0 +22.0,16,6,8.0,70,7559002.0,43.0,10.0,82450.0,191.286,tsunoda,22.0,Japanese,alphatauri,Italian,2021,11,Hungarian Grand Prix,46800000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,68.0,6.0,0.0,77919.0,77919.0,77919.0,24,21,Rain and sunny. Ambient: 26 to 29 °C (79 to 84 °F); Surface: 31 to 52 °C (88 to 126 °F).[3],1,0,0,1,0,Race circuit,Clockwise,4.381,70.0,306.63,77919.0,77919.0,77919.0,21,0,11,0,0,0,0,0,0,1,0,1,2,0,2,1,0,1,1,0,0,68.0,88.0,78.0,86.0,82.0 +14.0,12,11,0.0,1,227661.0,,0.0,,,alonso,14.0,Spanish,alpine,French,2021,12,Belgian Grand Prix,46800000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,80.0,5.0,1.0,121653.0,118205.0,118205.0,43,40,Wet; persistent rain,0,0,0,1,0,Race circuit,Clockwise,7.004,44.0,308.052,118205.0,121653.0,119354.33333333331,25,15,256,0,0,0,1,0,1,1,2,1,2,0,0,1,0,0,0,1,0,322.0,89.0,94.0,86.0,89.0 +77.0,13,12,0.0,1,229485.0,,0.0,,,bottas,77.0,Finnish,mercedes,German,2021,12,Belgian Grand Prix,46800000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,310.5,1.0,4.0,119870.0,116295.0,122502.0,35,32,Wet; persistent rain,0,0,0,1,0,Race circuit,Clockwise,7.004,44.0,308.052,116295.0,122502.0,119555.66666666669,24,8,169,6,1,5,1,0,0,0,0,0,0,0,1,0,0,0,1,0,1,207.0,89.0,99.0,92.0,92.0 +10.0,6,6,4.0,1,217248.0,,0.0,,,gasly,10.0,French,alphatauri,Italian,2021,12,Belgian Grand Prix,46800000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,72.0,6.0,0.0,120387.0,116440.0,121164.0,28,25,Wet; persistent rain,0,0,0,1,0,Race circuit,Clockwise,7.004,44.0,308.052,116440.0,121164.0,119330.33333333331,21,4,76,1,0,1,0,1,1,2,0,1,2,1,0,0,0,0,0,1,0,130.0,92.0,99.0,89.0,90.0 +99.0,14,13,0.0,1,231234.0,,0.0,,,giovinazzi,99.0,Italian,alfa,Swiss,2021,12,Belgian Grand Prix,46800000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,3.0,9.0,0.0,122306.0,122306.0,122306.0,31,28,Wet; persistent rain,0,0,0,1,0,Race circuit,Clockwise,7.004,44.0,308.052,122306.0,122306.0,122306.0,24,4,52,0,0,0,0,0,0,0,0,0,1,1,2,2,2,3,0,0,0,106.0,82.0,82.0,80.0,79.0 +44.0,3,3,7.5,1,209672.0,,0.0,,,hamilton,44.0,British,mercedes,German,2021,12,Belgian Grand Prix,46800000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,4.0,310.5,1.0,4.0,119218.0,116229.0,120099.0,39,36,Wet; persistent rain,0,0,0,1,0,Race circuit,Clockwise,7.004,44.0,308.052,116229.0,120099.0,118515.33333333331,22,14,278,8,4,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,288.0,94.0,89.0,98.0,95.0 +6.0,10,9,1.0,1,222556.0,,0.0,,,latifi,6.0,Canadian,williams,British,2021,12,Belgian Grand Prix,46800000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,20.0,8.0,0.0,120966.0,118056.0,118056.0,29,26,Wet; persistent rain,0,0,0,1,0,Race circuit,Clockwise,7.004,44.0,308.052,118056.0,120966.0,119026.0,25,1,29,0,0,0,0,0,0,1,0,0,0,0,0,0,1,1,3,1,3,111.0,69.0,79.0,70.0,71.0 +16.0,9,8,2.0,1,219679.0,,0.0,,,leclerc,16.0,Monegasque,ferrari,Italian,2021,12,Belgian Grand Prix,46800000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,165.5,4.0,0.0,120728.0,117721.0,117721.0,27,24,Wet; persistent rain,0,0,0,1,0,Race circuit,Clockwise,7.004,44.0,308.052,117721.0,120728.0,118723.33333333331,21,3,71,1,1,0,3,0,2,1,1,0,0,0,0,0,0,0,1,0,1,145.0,88.0,87.0,92.0,88.0 +33.0,1,1,12.5,1,207071.0,,0.0,,,max_verstappen,33.0,Dutch,red_bull,Austrian,2021,12,Belgian Grand Prix,46800000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,5.0,303.5,2.0,7.0,118717.0,116559.0,119765.0,27,24,Wet; persistent rain,0,0,0,1,0,Race circuit,Clockwise,7.004,44.0,308.052,116559.0,119765.0,118347.0,18,6,131,8,3,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,178.0,96.0,96.0,97.0,95.0 +9.0,18,17,0.0,1,239064.0,,0.0,,,mazepin,9.0,Russian,haas,American,2021,12,Belgian Grand Prix,46800000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,0.0,10.0,0.0,124939.0,124939.0,124939.0,25,22,Wet; persistent rain,0,0,0,1,0,Race circuit,Clockwise,7.004,44.0,308.052,124939.0,124939.0,124939.0,22,0,12,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,3,1,73.0,65.0,78.0,66.0,67.0 +47.0,17,16,0.0,1,236578.0,,0.0,,,mick_schumacher,47.0,German,haas,American,2021,12,Belgian Grand Prix,46800000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,0.0,10.0,0.0,123973.0,123973.0,123973.0,25,22,Wet; persistent rain,0,0,0,1,0,Race circuit,Clockwise,7.004,44.0,308.052,123973.0,123973.0,123973.0,22,0,12,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,3,1,4,73.0,65.0,81.0,83.0,76.0 +4.0,15,14,0.0,1,234181.0,,0.0,,,norris,4.0,British,mclaren,British,2021,12,Belgian Grand Prix,46800000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,169.0,3.0,0.0,118301.0,116025.0,116025.0,25,22,Wet; persistent rain,0,0,0,1,0,Race circuit,Clockwise,7.004,44.0,308.052,116025.0,118301.0,116783.66666666669,20,2,50,3,0,3,2,4,0,0,1,0,0,0,0,0,0,1,0,0,0,135.0,96.0,99.0,89.0,91.0 +31.0,8,7,3.0,1,218650.0,,0.0,,,ocon,31.0,French,alpine,French,2021,12,Belgian Grand Prix,46800000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,1.0,80.0,5.0,1.0,121824.0,117354.0,123513.0,28,25,Wet; persistent rain,0,0,0,1,0,Race circuit,Clockwise,7.004,44.0,308.052,117354.0,123513.0,120897.0,20,5,79,1,0,0,0,0,0,1,0,4,0,0,0,1,2,0,0,0,0,135.0,93.0,98.0,79.0,86.0 +11.0,20,19,0.0,1,245276.0,,0.0,,,perez,11.0,Mexican,red_bull,Austrian,2021,12,Belgian Grand Prix,46800000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,1.0,303.5,2.0,7.0,119334.0,116886.0,122112.0,34,31,Wet; persistent rain,0,0,0,1,0,Race circuit,Clockwise,7.004,44.0,308.052,116886.0,122112.0,119444.0,21,10,205,2,0,1,3,2,1,0,0,0,0,1,0,0,0,0,1,1,0,236.0,92.0,84.0,87.0,87.0 +7.0,20,18,0.0,1,243125.0,,0.0,,,raikkonen,7.0,Finnish,alfa,Swiss,2021,12,Belgian Grand Prix,46800000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,3.0,9.0,0.0,124452.0,124452.0,124452.0,45,42,Wet; persistent rain,0,0,0,1,0,Race circuit,Clockwise,7.004,44.0,308.052,124452.0,124452.0,124452.0,27,15,257,0,0,0,0,0,0,0,0,0,2,3,1,1,0,2,0,1,0,322.0,91.0,84.0,86.0,87.0 +3.0,4,4,6.0,1,211567.0,,0.0,,,ricciardo,3.0,Australian,mclaren,British,2021,12,Belgian Grand Prix,46800000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,169.0,3.0,0.0,121583.0,117127.0,120864.0,35,32,Wet; persistent rain,0,0,0,1,0,Race circuit,Clockwise,7.004,44.0,308.052,117127.0,121583.0,119858.0,22,10,200,0,0,0,0,1,3,2,0,2,0,1,1,1,0,0,0,0,0,231.0,94.0,91.0,88.0,90.0 +63.0,2,2,9.0,1,209066.0,,0.0,,,russell,63.0,British,williams,British,2021,12,Belgian Grand Prix,46800000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,20.0,8.0,0.0,119864.0,116950.0,120086.0,26,23,Wet; persistent rain,0,0,0,1,0,Race circuit,Clockwise,7.004,44.0,308.052,116950.0,120086.0,118966.66666666669,21,2,50,0,0,0,0,0,0,0,1,0,0,1,2,0,3,0,1,1,0,135.0,76.0,99.0,83.0,84.0 +55.0,11,10,0.5,1,223237.0,,0.0,,,sainz,55.0,Spanish,ferrari,Italian,2021,12,Belgian Grand Prix,46800000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,165.5,4.0,0.0,121184.0,118137.0,118137.0,30,27,Wet; persistent rain,0,0,0,1,0,Race circuit,Clockwise,7.004,44.0,308.052,118137.0,121184.0,119152.66666666669,21,6,131,2,1,1,0,2,2,1,2,0,0,2,0,0,0,0,0,0,0,178.0,88.0,94.0,85.0,87.0 +18.0,19,20,0.0,1,251179.0,,0.0,,,stroll,18.0,Canadian,aston_martin,British,2021,12,Belgian Grand Prix,46800000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,53.0,7.0,0.0,121597.0,118231.0,118231.0,26,23,Wet; persistent rain,0,0,0,1,0,Race circuit,Clockwise,7.004,44.0,308.052,118231.0,121597.0,119353.0,19,4,90,0,0,0,0,0,0,0,4,0,2,1,0,1,1,0,0,0,0,145.0,93.0,82.0,82.0,83.0 +22.0,16,15,0.0,1,235400.0,,0.0,,,tsunoda,22.0,Japanese,alphatauri,Italian,2021,12,Belgian Grand Prix,46800000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,72.0,6.0,0.0,122413.0,122413.0,122413.0,24,21,Wet; persistent rain,0,0,0,1,0,Race circuit,Clockwise,7.004,44.0,308.052,122413.0,122413.0,122413.0,21,0,12,0,0,0,0,0,1,1,0,1,2,0,2,1,0,1,1,0,0,68.0,88.0,78.0,86.0,82.0 +5.0,5,5,5.0,1,214550.0,,0.0,,,vettel,5.0,German,aston_martin,British,2021,12,Belgian Grand Prix,46800000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,53.0,7.0,0.0,120175.0,116814.0,120935.0,37,34,Wet; persistent rain,0,0,0,1,0,Race circuit,Clockwise,7.004,44.0,308.052,116814.0,120935.0,119308.0,20,14,270,1,1,0,0,1,0,0,0,1,0,0,1,2,0,2,0,1,0,284.0,93.0,87.0,88.0,89.0 +14.0,9,6,8.0,71,,60.0,7.0,74323.0,206.294,alonso,14.0,Spanish,alpine,French,2021,13,Dutch Grand Prix,46800000.0,zandvoort,Zandvoort,Netherlands,52.3888,4.54092,6.0,+1 Lap,0.0,90.0,5.0,1.0,70435.0,70020.0,69956.0,43,40,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.259,72.0,306.587,69956.0,70435.0,70137.0,25,15,257,0,0,0,1,0,1,1,2,1,2,1,0,1,0,0,0,1,0,322.0,89.0,94.0,86.0,89.0 +77.0,3,3,15.0,72,5461855.0,69.0,2.0,72549.0,211.338,bottas,77.0,Finnish,mercedes,German,2021,13,Dutch Grand Prix,46800000.0,zandvoort,Zandvoort,Netherlands,52.3888,4.54092,6.0,Finished,0.0,344.5,1.0,4.0,70219.0,69769.0,69222.0,35,32,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.259,72.0,306.587,69222.0,70219.0,69736.66666666667,24,8,170,6,1,5,1,0,0,0,0,0,0,0,2,0,0,0,1,0,1,207.0,89.0,99.0,92.0,92.0 +10.0,4,4,12.0,71,,57.0,10.0,74818.0,204.929,gasly,10.0,French,alphatauri,Italian,2021,13,Dutch Grand Prix,46800000.0,zandvoort,Zandvoort,Netherlands,52.3888,4.54092,6.0,+1 Lap,0.0,84.0,6.0,0.0,70274.0,69541.0,69478.0,28,25,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.259,72.0,306.587,69478.0,70274.0,69764.33333333333,21,4,77,1,0,1,0,1,2,2,0,1,2,1,0,0,0,0,0,1,0,130.0,92.0,99.0,89.0,90.0 +99.0,7,14,0.0,70,,66.0,12.0,75125.0,204.091,giovinazzi,99.0,Italian,alfa,Swiss,2021,13,Dutch Grand Prix,46800000.0,zandvoort,Zandvoort,Netherlands,52.3888,4.54092,6.0,+2 Laps,0.0,3.0,9.0,0.0,70050.0,70033.0,69590.0,31,28,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.259,72.0,306.587,69590.0,70050.0,69891.0,24,4,53,0,0,0,0,0,0,0,0,0,1,1,2,3,2,3,0,0,0,106.0,82.0,82.0,80.0,79.0 +44.0,2,2,19.0,72,5426327.0,72.0,1.0,71097.0,215.654,hamilton,44.0,British,mercedes,German,2021,13,Dutch Grand Prix,46800000.0,zandvoort,Zandvoort,Netherlands,52.3888,4.54092,6.0,Finished,4.0,344.5,1.0,4.0,70114.0,69726.0,68923.0,39,36,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.259,72.0,306.587,68923.0,70114.0,69587.66666666667,22,14,279,9,4,1,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,288.0,94.0,89.0,98.0,95.0 +88.0,16,15,0.0,70,,44.0,14.0,75442.0,203.234,kubica,88.0,Polish,alfa,Swiss,2021,13,Dutch Grand Prix,46800000.0,zandvoort,Zandvoort,Netherlands,52.3888,4.54092,6.0,+2 Laps,0.0,3.0,9.0,0.0,71301.0,71301.0,71301.0,40,37,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.259,72.0,306.587,71301.0,71301.0,71301.0,22,15,98,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,100.0,83.0,81.0,81.0,78.0 +6.0,19,16,0.0,70,,25.0,18.0,75790.0,202.301,latifi,6.0,Canadian,williams,British,2021,13,Dutch Grand Prix,46800000.0,zandvoort,Zandvoort,Netherlands,52.3888,4.54092,6.0,+2 Laps,0.0,20.0,8.0,0.0,70093.0,71161.0,71161.0,29,26,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.259,72.0,306.587,70093.0,71161.0,70805.0,25,1,30,0,0,0,0,0,0,1,0,1,0,0,0,0,1,1,3,1,3,111.0,69.0,79.0,70.0,71.0 +16.0,5,5,10.0,71,,58.0,9.0,74780.0,205.033,leclerc,16.0,Monegasque,ferrari,Italian,2021,13,Dutch Grand Prix,46800000.0,zandvoort,Zandvoort,Netherlands,52.3888,4.54092,6.0,+1 Lap,0.0,181.5,3.0,0.0,69829.0,69437.0,69527.0,27,24,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.259,72.0,306.587,69437.0,69829.0,69597.66666666667,21,3,72,1,1,0,3,0,2,1,2,0,0,0,0,0,0,0,1,0,1,145.0,88.0,87.0,92.0,88.0 +33.0,1,1,25.0,72,5405395.0,60.0,3.0,73275.0,209.244,max_verstappen,33.0,Dutch,red_bull,Austrian,2021,13,Dutch Grand Prix,46800000.0,zandvoort,Zandvoort,Netherlands,52.3888,4.54092,6.0,Finished,6.0,332.5,2.0,8.0,70036.0,69071.0,68885.0,27,24,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.259,72.0,306.587,68885.0,70036.0,69330.66666666667,18,6,132,9,3,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,178.0,96.0,96.0,97.0,95.0 +47.0,17,18,0.0,69,,36.0,19.0,75927.0,201.936,mick_schumacher,47.0,German,haas,American,2021,13,Dutch Grand Prix,46800000.0,zandvoort,Zandvoort,Netherlands,52.3888,4.54092,6.0,+3 Laps,0.0,0.0,10.0,0.0,71387.0,71387.0,71387.0,25,22,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.259,72.0,306.587,71387.0,71387.0,71387.0,22,0,13,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,4,1,4,73.0,65.0,81.0,83.0,76.0 +4.0,13,10,1.0,71,,48.0,6.0,74236.0,206.535,norris,4.0,British,mclaren,British,2021,13,Dutch Grand Prix,46800000.0,zandvoort,Zandvoort,Netherlands,52.3888,4.54092,6.0,+1 Lap,0.0,170.0,4.0,0.0,70489.0,70406.0,70406.0,25,22,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.259,72.0,306.587,70406.0,70489.0,70433.66666666667,20,2,51,3,0,3,2,4,0,0,1,0,0,0,0,0,1,1,0,0,0,135.0,96.0,99.0,89.0,91.0 +31.0,8,9,2.0,71,,54.0,8.0,74675.0,205.321,ocon,31.0,French,alpine,French,2021,13,Dutch Grand Prix,46800000.0,zandvoort,Zandvoort,Netherlands,52.3888,4.54092,6.0,+1 Lap,1.0,90.0,5.0,1.0,70179.0,69919.0,69933.0,28,25,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.259,72.0,306.587,69919.0,70179.0,70010.33333333333,20,5,80,1,0,0,0,0,0,2,0,4,0,0,0,1,2,0,0,0,0,135.0,93.0,98.0,79.0,86.0 +11.0,19,8,4.0,71,,59.0,4.0,73461.0,208.714,perez,11.0,Mexican,red_bull,Austrian,2021,13,Dutch Grand Prix,46800000.0,zandvoort,Zandvoort,Netherlands,52.3888,4.54092,6.0,+1 Lap,1.0,332.5,2.0,8.0,70530.0,70530.0,70530.0,34,31,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.259,72.0,306.587,70530.0,70530.0,70530.0,21,10,206,2,0,1,3,2,1,0,0,0,0,1,0,0,0,0,1,1,0,236.0,92.0,84.0,87.0,87.0 +3.0,10,11,0.0,71,,59.0,11.0,74920.0,204.65,ricciardo,3.0,Australian,mclaren,British,2021,13,Dutch Grand Prix,46800000.0,zandvoort,Zandvoort,Netherlands,52.3888,4.54092,6.0,+1 Lap,0.0,170.0,4.0,0.0,70255.0,69865.0,70166.0,35,32,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.259,72.0,306.587,69865.0,70255.0,70095.33333333333,22,10,201,0,0,0,1,1,3,2,0,2,0,1,1,1,0,0,0,0,0,231.0,94.0,91.0,88.0,90.0 +55.0,6,7,6.0,71,,45.0,13.0,75260.0,203.725,sainz,55.0,Spanish,ferrari,Italian,2021,13,Dutch Grand Prix,46800000.0,zandvoort,Zandvoort,Netherlands,52.3888,4.54092,6.0,+1 Lap,0.0,181.5,3.0,0.0,70022.0,69870.0,69537.0,30,27,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.259,72.0,306.587,69537.0,70022.0,69809.66666666667,21,6,132,2,1,1,0,2,2,1,2,0,1,2,0,0,0,0,0,0,0,178.0,88.0,94.0,85.0,87.0 +18.0,12,12,0.0,70,,57.0,15.0,75611.0,202.78,stroll,18.0,Canadian,aston_martin,British,2021,13,Dutch Grand Prix,46800000.0,zandvoort,Zandvoort,Netherlands,52.3888,4.54092,6.0,+2 Laps,0.0,53.0,7.0,0.0,70438.0,70367.0,70367.0,26,23,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.259,72.0,306.587,70367.0,70438.0,70390.66666666667,19,4,91,0,0,0,0,0,0,0,4,0,2,1,0,1,1,0,0,0,0,145.0,93.0,82.0,82.0,83.0 +5.0,15,13,0.0,70,,63.0,5.0,73958.0,207.312,vettel,5.0,German,aston_martin,British,2021,13,Dutch Grand Prix,46800000.0,zandvoort,Zandvoort,Netherlands,52.3888,4.54092,6.0,+2 Laps,0.0,53.0,7.0,0.0,70731.0,70731.0,70731.0,37,34,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.259,72.0,306.587,70731.0,70731.0,70731.0,20,14,271,1,1,0,0,2,0,0,0,1,0,0,1,2,0,2,0,1,0,284.0,93.0,87.0,88.0,89.0 +14.0,10,8,4.0,53,4931566.0,52.0,7.0,85472.0,243.995,alonso,14.0,Spanish,alpine,French,2021,14,Italian Grand Prix,46800000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,95.0,5.0,1.0,81487.0,81069.0,81069.0,43,40,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,81069.0,81487.0,81208.33333333333,25,15,258,0,0,0,1,0,2,1,2,1,2,1,0,1,0,0,0,1,0,322.0,89.0,94.0,86.0,89.0 +77.0,19,3,15.0,53,4919286.0,34.0,2.0,84827.0,245.85,bottas,77.0,Finnish,mercedes,German,2021,14,Italian Grand Prix,46800000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,362.5,1.0,4.0,80685.0,80032.0,79555.0,35,32,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,79555.0,80685.0,80090.66666666667,24,8,171,7,1,6,1,0,0,0,0,0,0,0,2,0,0,0,1,0,1,207.0,89.0,99.0,92.0,92.0 +99.0,7,13,0.0,53,4941581.0,50.0,10.0,85718.0,243.295,giovinazzi,99.0,Italian,alfa,Swiss,2021,14,Italian Grand Prix,46800000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,3.0,9.0,0.0,81197.0,80726.0,80808.0,31,28,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,80726.0,81197.0,80910.33333333333,24,4,54,0,0,0,0,0,0,0,0,0,1,1,2,3,3,3,0,0,0,106.0,82.0,82.0,80.0,79.0 +88.0,17,14,0.0,53,4944134.0,53.0,12.0,85849.0,242.924,kubica,88.0,Polish,alfa,Swiss,2021,14,Italian Grand Prix,46800000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,3.0,9.0,0.0,82530.0,82530.0,82530.0,40,37,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,82530.0,82530.0,82530.0,22,15,99,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,100.0,83.0,81.0,81.0,78.0 +6.0,13,11,0.0,53,4938108.0,50.0,16.0,85953.0,242.63,latifi,6.0,Canadian,williams,British,2021,14,Italian Grand Prix,46800000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,22.0,8.0,0.0,81925.0,81925.0,81925.0,29,26,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,81925.0,81925.0,81925.0,25,1,31,0,0,0,0,0,0,1,0,1,0,0,0,0,1,1,4,1,3,111.0,69.0,79.0,70.0,71.0 +16.0,5,4,12.0,53,4921674.0,53.0,6.0,85319.0,244.433,leclerc,16.0,Monegasque,ferrari,Italian,2021,14,Italian Grand Prix,46800000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,201.5,4.0,0.0,81219.0,80767.0,80510.0,27,24,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,80510.0,81219.0,80832.0,21,3,73,1,1,0,3,1,2,1,2,0,0,0,0,0,0,0,1,0,1,145.0,88.0,87.0,92.0,88.0 +47.0,18,15,0.0,53,4965453.0,52.0,17.0,86707.0,240.52,mick_schumacher,47.0,German,haas,American,2021,14,Italian Grand Prix,46800000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,0.0,10.0,0.0,82248.0,82248.0,82248.0,25,22,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,82248.0,82248.0,82248.0,22,0,14,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,4,1,5,73.0,65.0,81.0,83.0,76.0 +4.0,3,2,18.0,53,4916112.0,53.0,3.0,84971.0,245.434,norris,4.0,British,mclaren,British,2021,14,Italian Grand Prix,46800000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,215.0,3.0,1.0,80916.0,80059.0,79989.0,25,22,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,79989.0,80916.0,80321.33333333333,20,2,52,3,0,3,2,4,0,0,1,0,1,0,0,0,1,1,0,0,0,135.0,96.0,99.0,89.0,91.0 +31.0,12,10,1.0,53,4935233.0,53.0,9.0,85566.0,243.727,ocon,31.0,French,alpine,French,2021,14,Italian Grand Prix,46800000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,1.0,95.0,5.0,1.0,81500.0,81103.0,81103.0,28,25,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,81103.0,81500.0,81235.33333333333,20,5,81,1,0,0,0,0,0,2,0,5,0,0,0,1,2,0,0,0,0,135.0,93.0,98.0,79.0,86.0 +11.0,8,5,10.0,53,4923088.0,53.0,4.0,85156.0,244.901,perez,11.0,Mexican,red_bull,Austrian,2021,14,Italian Grand Prix,46800000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,1.0,344.5,2.0,8.0,81308.0,80882.0,80611.0,34,31,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,80611.0,81308.0,80933.66666666667,21,10,207,2,0,1,3,2,1,0,1,0,0,1,0,0,0,0,1,1,0,236.0,92.0,84.0,87.0,87.0 +3.0,2,1,26.0,53,4914365.0,53.0,1.0,84812.0,245.894,ricciardo,3.0,Australian,mclaren,British,2021,14,Italian Grand Prix,46800000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,215.0,3.0,1.0,81292.0,80435.0,79995.0,35,32,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,79995.0,81292.0,80574.0,22,10,202,0,0,0,1,1,3,2,0,2,0,2,1,1,0,0,0,0,0,231.0,94.0,91.0,88.0,90.0 +63.0,14,9,2.0,53,4934107.0,53.0,11.0,85835.0,242.963,russell,63.0,British,williams,British,2021,14,Italian Grand Prix,46800000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,22.0,8.0,0.0,81890.0,81392.0,81392.0,26,23,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,81392.0,81890.0,81558.0,21,2,52,1,1,0,0,0,0,0,1,0,0,1,2,0,3,0,1,2,0,135.0,76.0,99.0,83.0,84.0 +55.0,6,6,8.0,53,4924900.0,53.0,8.0,85559.0,243.747,sainz,55.0,Spanish,ferrari,Italian,2021,14,Italian Grand Prix,46800000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,201.5,4.0,0.0,81118.0,80750.0,80462.0,30,27,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,80462.0,81118.0,80776.66666666667,21,6,133,2,1,1,0,2,2,2,2,0,1,2,0,0,0,0,0,0,0,178.0,88.0,94.0,85.0,87.0 +18.0,9,7,6.0,53,4930169.0,52.0,13.0,85853.0,242.912,stroll,18.0,Canadian,aston_martin,British,2021,14,Italian Grand Prix,46800000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,59.0,7.0,0.0,81415.0,81020.0,81020.0,26,23,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,81020.0,81415.0,81151.66666666667,19,4,92,0,0,0,0,0,0,0,4,0,2,1,1,1,1,0,0,0,0,145.0,93.0,82.0,82.0,83.0 +5.0,11,12,0.0,53,4938986.0,50.0,15.0,85938.0,242.672,vettel,5.0,German,aston_martin,British,2021,14,Italian Grand Prix,46800000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,59.0,7.0,0.0,81394.0,80913.0,80913.0,37,34,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,80913.0,81394.0,81073.33333333333,20,14,272,1,1,0,0,2,0,0,0,1,0,0,1,3,0,2,0,1,0,284.0,93.0,87.0,88.0,89.0 +14.0,6,6,8.0,53,5522322.0,44.0,6.0,98686.0,213.331,alonso,14.0,Spanish,alpine,French,2021,15,Russian Grand Prix,43200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,0.0,103.0,5.0,1.0,107877.0,105514.0,104204.0,43,40,Cloudy and rainy,0,0,0,1,1,Race circuit,Clockwise,5.848,53.0,309.745,104204.0,107877.0,105865.0,25,15,259,0,0,0,1,0,2,1,3,1,2,1,0,1,0,0,0,1,0,322.0,89.0,94.0,86.0,89.0 +77.0,16,5,10.0,53,5508534.0,31.0,3.0,98216.0,214.352,bottas,77.0,Finnish,mercedes,German,2021,15,Russian Grand Prix,43200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,0.0,397.5,1.0,5.0,106396.0,105306.0,104710.0,35,32,Cloudy and rainy,0,0,0,1,1,Race circuit,Clockwise,5.848,53.0,309.745,104710.0,106396.0,105470.66666666669,24,8,172,8,1,7,1,0,0,0,0,0,0,0,2,0,0,0,1,0,1,207.0,89.0,99.0,92.0,92.0 +10.0,11,13,0.0,52,,35.0,4.0,98279.0,214.214,gasly,10.0,French,alphatauri,Italian,2021,15,Russian Grand Prix,43200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,+1 Lap,0.0,84.0,6.0,0.0,107828.0,106641.0,106641.0,28,25,Cloudy and rainy,0,0,0,1,1,Race circuit,Clockwise,5.848,53.0,309.745,106641.0,107828.0,107036.66666666669,21,4,79,1,0,1,1,1,2,2,0,1,2,1,0,0,0,0,0,1,0,130.0,92.0,99.0,89.0,90.0 +99.0,17,16,0.0,52,,39.0,8.0,99058.0,212.53,giovinazzi,99.0,Italian,alfa,Swiss,2021,15,Russian Grand Prix,43200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,+1 Lap,0.0,7.0,9.0,0.0,111023.0,111023.0,111023.0,31,28,Cloudy and rainy,0,0,0,1,1,Race circuit,Clockwise,5.848,53.0,309.745,111023.0,111023.0,111023.0,24,4,55,0,0,0,0,0,0,0,0,0,1,1,2,4,3,3,0,0,0,106.0,82.0,82.0,80.0,79.0 +44.0,4,1,25.0,53,5441001.0,43.0,2.0,97575.0,215.76,hamilton,44.0,British,mercedes,German,2021,15,Russian Grand Prix,43200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,4.0,397.5,1.0,5.0,105992.0,105129.0,104050.0,39,36,Cloudy and rainy,0,0,0,1,1,Race circuit,Clockwise,5.848,53.0,309.745,104050.0,105992.0,105057.0,22,14,281,10,5,1,1,0,0,1,0,0,0,0,0,0,0,1,0,1,0,288.0,94.0,89.0,98.0,95.0 +16.0,19,15,0.0,52,,45.0,7.0,98994.0,212.667,leclerc,16.0,Monegasque,ferrari,Italian,2021,15,Russian Grand Prix,43200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,+1 Lap,0.0,216.5,4.0,0.0,108470.0,108470.0,108470.0,27,24,Cloudy and rainy,0,0,0,1,1,Race circuit,Clockwise,5.848,53.0,309.745,108470.0,108470.0,108470.0,21,3,74,1,1,0,4,1,2,1,2,0,0,0,0,0,0,0,1,0,1,145.0,88.0,87.0,92.0,88.0 +33.0,20,2,18.0,53,5494272.0,28.0,5.0,98396.0,213.959,max_verstappen,33.0,Dutch,red_bull,Austrian,2021,15,Russian Grand Prix,43200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,7.0,364.5,2.0,8.0,113764.0,113764.0,113764.0,27,24,Cloudy and rainy,0,0,0,1,1,Race circuit,Clockwise,5.848,53.0,309.745,113764.0,113764.0,113764.0,18,6,134,10,3,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,2,178.0,96.0,96.0,97.0,95.0 +9.0,15,18,0.0,51,,24.0,20.0,101713.0,206.982,mazepin,9.0,Russian,haas,American,2021,15,Russian Grand Prix,43200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,+2 Laps,0.0,0.0,10.0,0.0,113764.0,113764.0,113764.0,25,22,Cloudy and rainy,0,0,0,1,1,Race circuit,Clockwise,5.848,53.0,309.745,113764.0,113764.0,113764.0,22,0,15,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,1,4,1,73.0,65.0,78.0,66.0,67.0 +4.0,1,7,7.0,53,5528225.0,39.0,1.0,97423.0,216.096,norris,4.0,British,mclaren,British,2021,15,Russian Grand Prix,43200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,0.0,234.0,3.0,1.0,107238.0,105827.0,101993.0,25,22,Cloudy and rainy,0,0,0,1,1,Race circuit,Clockwise,5.848,53.0,309.745,101993.0,107238.0,105019.33333333331,20,2,53,4,1,3,2,4,0,0,1,0,1,0,0,0,1,1,0,0,0,135.0,96.0,99.0,89.0,91.0 +31.0,9,14,0.0,52,,34.0,19.0,100598.0,209.276,ocon,31.0,French,alpine,French,2021,15,Russian Grand Prix,43200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,+1 Lap,1.0,103.0,5.0,1.0,108099.0,106070.0,105865.0,28,25,Cloudy and rainy,0,0,0,1,1,Race circuit,Clockwise,5.848,53.0,309.745,105865.0,108099.0,106678.0,20,5,82,1,0,0,0,0,0,2,0,5,1,0,0,1,2,0,0,0,0,135.0,93.0,98.0,79.0,86.0 +11.0,8,9,2.0,53,5531077.0,45.0,10.0,99215.0,212.193,perez,11.0,Mexican,red_bull,Austrian,2021,15,Russian Grand Prix,43200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,1.0,364.5,2.0,8.0,106455.0,105834.0,105337.0,34,31,Cloudy and rainy,0,0,0,1,1,Race circuit,Clockwise,5.848,53.0,309.745,105337.0,106455.0,105875.33333333331,21,10,208,2,0,1,3,3,1,0,1,0,0,1,0,0,0,0,1,1,0,236.0,92.0,84.0,87.0,87.0 +7.0,13,8,4.0,53,5529956.0,34.0,16.0,100289.0,209.921,raikkonen,7.0,Finnish,alfa,Swiss,2021,15,Russian Grand Prix,43200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,0.0,7.0,9.0,0.0,109586.0,109586.0,109586.0,45,42,Cloudy and rainy,0,0,0,1,1,Race circuit,Clockwise,5.848,53.0,309.745,109586.0,109586.0,109586.0,27,15,258,0,0,0,0,0,0,0,0,0,2,3,1,1,0,2,0,1,1,322.0,91.0,84.0,86.0,87.0 +3.0,5,4,12.0,53,5506608.0,24.0,9.0,99124.0,212.388,ricciardo,3.0,Australian,mclaren,British,2021,15,Russian Grand Prix,43200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,1.0,234.0,3.0,1.0,108345.0,106361.0,104156.0,35,32,Cloudy and rainy,0,0,0,1,1,Race circuit,Clockwise,5.848,53.0,309.745,104156.0,108345.0,106287.33333333331,22,10,203,1,0,0,1,1,3,2,0,2,0,2,1,1,0,0,0,0,0,231.0,94.0,91.0,88.0,90.0 +63.0,3,10,1.0,53,5541552.0,40.0,18.0,100596.0,209.28,russell,63.0,British,williams,British,2021,15,Russian Grand Prix,43200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,0.0,23.0,8.0,0.0,108303.0,106435.0,102983.0,26,23,Cloudy and rainy,0,0,0,1,1,Race circuit,Clockwise,5.848,53.0,309.745,102983.0,108303.0,105907.0,21,2,53,1,1,0,0,0,0,0,1,1,0,1,2,0,3,0,1,2,0,135.0,76.0,99.0,83.0,84.0 +55.0,2,3,15.0,53,5503476.0,40.0,12.0,99294.0,212.024,sainz,55.0,Spanish,ferrari,Italian,2021,15,Russian Grand Prix,43200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,0.0,216.5,4.0,0.0,107924.0,106521.0,102510.0,30,27,Cloudy and rainy,0,0,0,1,1,Race circuit,Clockwise,5.848,53.0,309.745,102510.0,107924.0,105651.66666666669,21,6,134,2,1,1,0,2,3,2,2,0,1,2,0,0,0,0,0,0,0,178.0,88.0,94.0,85.0,87.0 +18.0,7,11,0.0,53,5547199.0,35.0,17.0,100464.0,209.555,stroll,18.0,Canadian,aston_martin,British,2021,15,Russian Grand Prix,43200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,Finished,0.0,59.0,7.0,0.0,108322.0,106360.0,104956.0,26,23,Cloudy and rainy,0,0,0,1,1,Race circuit,Clockwise,5.848,53.0,309.745,104956.0,108322.0,106546.0,19,4,93,0,0,0,0,0,0,1,4,0,2,1,1,1,1,0,0,0,0,145.0,93.0,82.0,82.0,83.0 +22.0,12,17,0.0,52,,42.0,13.0,99960.0,210.612,tsunoda,22.0,Japanese,alphatauri,Italian,2021,15,Russian Grand Prix,43200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,+1 Lap,0.0,84.0,6.0,0.0,108854.0,106751.0,106751.0,24,21,Cloudy and rainy,0,0,0,1,1,Race circuit,Clockwise,5.848,53.0,309.745,106751.0,108854.0,107452.0,21,0,15,0,0,0,0,0,1,1,0,1,2,0,2,1,0,2,1,0,0,68.0,88.0,78.0,86.0,82.0 +5.0,10,12,0.0,52,,44.0,11.0,99251.0,212.116,vettel,5.0,German,aston_martin,British,2021,15,Russian Grand Prix,43200000.0,sochi,Sochi,Russia,43.4057,39.9578,2.0,+1 Lap,0.0,59.0,7.0,0.0,107205.0,106573.0,106573.0,37,34,Cloudy and rainy,0,0,0,1,1,Race circuit,Clockwise,5.848,53.0,309.745,106573.0,107205.0,106783.66666666669,20,14,273,1,1,0,0,2,0,0,0,1,0,0,2,3,0,2,0,1,0,284.0,93.0,87.0,88.0,89.0 +14.0,5,16,0.0,57,,55.0,14.0,93252.0,206.073,alonso,14.0,Spanish,alpine,French,2021,16,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,+1 Lap,0.0,104.0,5.0,1.0,85174.0,83914.0,83477.0,43,40,Overcast with intermittent rain,0,0,0,1,1,Race circuit,Anti-clockwise,5.338,58.0,309.396,83477.0,85174.0,84188.33333333333,25,15,260,0,0,0,1,0,3,1,3,1,2,1,0,1,0,0,0,1,0,322.0,89.0,94.0,86.0,89.0 +77.0,1,1,26.0,58,5464103.0,58.0,1.0,90432.0,212.5,bottas,77.0,Finnish,mercedes,German,2021,16,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,0.0,433.5,1.0,6.0,85047.0,83579.0,82998.0,35,32,Overcast with intermittent rain,0,0,0,1,1,Race circuit,Anti-clockwise,5.338,58.0,309.396,82998.0,85047.0,83874.66666666667,24,8,173,8,1,7,1,1,0,0,0,0,0,0,2,0,0,0,1,0,1,207.0,89.0,99.0,92.0,92.0 +10.0,4,6,8.0,58,5508395.0,50.0,11.0,92814.0,207.046,gasly,10.0,French,alphatauri,Italian,2021,16,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,0.0,92.0,6.0,0.0,84704.0,83817.0,83326.0,28,25,Overcast with intermittent rain,0,0,0,1,1,Race circuit,Anti-clockwise,5.338,58.0,309.396,83326.0,84704.0,83949.0,21,4,80,1,0,1,1,1,2,2,0,1,2,1,0,1,0,0,0,1,0,130.0,92.0,99.0,89.0,90.0 +99.0,16,11,0.0,57,,57.0,13.0,92904.0,206.845,giovinazzi,99.0,Italian,alfa,Swiss,2021,16,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,+1 Lap,0.0,7.0,9.0,0.0,86430.0,86430.0,86430.0,31,28,Overcast with intermittent rain,0,0,0,1,1,Race circuit,Anti-clockwise,5.338,58.0,309.396,86430.0,86430.0,86430.0,24,4,56,0,0,0,0,0,0,0,0,0,1,1,2,4,3,3,1,0,0,106.0,82.0,82.0,80.0,79.0 +44.0,11,5,10.0,58,5505915.0,52.0,10.0,92763.0,207.16,hamilton,44.0,British,mercedes,German,2021,16,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,5.0,433.5,1.0,6.0,84585.0,83082.0,82868.0,39,36,Overcast with intermittent rain,0,0,0,1,1,Race circuit,Anti-clockwise,5.338,58.0,309.396,82868.0,84585.0,83511.66666666667,22,14,282,11,5,1,1,0,0,1,0,0,0,0,0,0,0,1,0,1,0,288.0,94.0,89.0,98.0,95.0 +6.0,15,17,0.0,57,,48.0,17.0,93672.0,205.149,latifi,6.0,Canadian,williams,British,2021,16,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,+1 Lap,0.0,23.0,8.0,0.0,86086.0,86086.0,86086.0,29,26,Overcast with intermittent rain,0,0,0,1,1,Race circuit,Anti-clockwise,5.338,58.0,309.396,86086.0,86086.0,86086.0,25,1,33,0,0,0,0,0,0,1,0,1,0,1,0,0,1,1,4,1,3,111.0,69.0,79.0,70.0,71.0 +16.0,3,4,12.0,58,5501917.0,57.0,8.0,92737.0,207.218,leclerc,16.0,Monegasque,ferrari,Italian,2021,16,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,0.0,232.5,4.0,0.0,84869.0,84015.0,83265.0,27,24,Overcast with intermittent rain,0,0,0,1,1,Race circuit,Anti-clockwise,5.338,58.0,309.396,83265.0,84869.0,84049.66666666667,21,3,75,1,1,0,4,1,2,1,2,0,0,0,0,0,0,1,1,0,1,145.0,88.0,87.0,92.0,88.0 +33.0,2,2,18.0,58,5478687.0,53.0,9.0,92759.0,207.169,max_verstappen,33.0,Dutch,red_bull,Austrian,2021,16,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,7.0,397.5,2.0,8.0,84592.0,83732.0,83196.0,27,24,Overcast with intermittent rain,0,0,0,1,1,Race circuit,Anti-clockwise,5.338,58.0,309.396,83196.0,84592.0,83840.0,18,6,135,11,4,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,2,178.0,96.0,96.0,97.0,95.0 +9.0,18,20,0.0,56,,52.0,20.0,95438.0,201.353,mazepin,9.0,Russian,haas,American,2021,16,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,+2 Laps,0.0,0.0,10.0,0.0,88449.0,88449.0,88449.0,25,22,Overcast with intermittent rain,0,0,0,1,1,Race circuit,Anti-clockwise,5.338,58.0,309.396,88449.0,88449.0,88449.0,22,0,16,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,1,4,2,73.0,65.0,78.0,66.0,67.0 +47.0,14,19,0.0,56,,52.0,18.0,94209.0,203.98,mick_schumacher,47.0,German,haas,American,2021,16,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,+2 Laps,0.0,0.0,10.0,0.0,85555.0,85200.0,85200.0,25,22,Overcast with intermittent rain,0,0,0,1,1,Race circuit,Anti-clockwise,5.338,58.0,309.396,85200.0,85555.0,85318.33333333333,22,0,16,0,0,0,0,0,0,0,0,0,0,0,1,1,0,1,4,1,5,73.0,65.0,81.0,83.0,76.0 +4.0,7,7,6.0,58,5511316.0,50.0,3.0,92446.0,207.87,norris,4.0,British,mclaren,British,2021,16,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,0.0,240.0,3.0,1.0,85138.0,84642.0,83954.0,25,22,Overcast with intermittent rain,0,0,0,1,1,Race circuit,Anti-clockwise,5.338,58.0,309.396,83954.0,85138.0,84578.0,20,2,54,4,1,3,2,4,0,1,1,0,1,0,0,0,1,1,0,0,0,135.0,96.0,99.0,89.0,91.0 +31.0,12,10,1.0,57,,24.0,19.0,94584.0,203.171,ocon,31.0,French,alpine,French,2021,16,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,+1 Lap,1.0,104.0,5.0,1.0,85422.0,84842.0,84842.0,28,25,Overcast with intermittent rain,0,0,0,1,1,Race circuit,Anti-clockwise,5.338,58.0,309.396,84842.0,85422.0,85035.33333333333,20,5,83,1,0,0,0,0,0,2,0,5,1,0,0,1,3,0,0,0,0,135.0,93.0,98.0,79.0,86.0 +11.0,6,3,15.0,58,5497574.0,53.0,4.0,92459.0,207.841,perez,11.0,Mexican,red_bull,Austrian,2021,16,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,1.0,397.5,2.0,8.0,84963.0,83961.0,83706.0,34,31,Overcast with intermittent rain,0,0,0,1,1,Race circuit,Anti-clockwise,5.338,58.0,309.396,83706.0,84963.0,84210.0,21,10,209,2,0,1,3,3,1,0,1,1,0,1,0,0,0,0,1,1,0,236.0,92.0,84.0,87.0,87.0 +7.0,17,12,0.0,57,,50.0,5.0,92586.0,207.556,raikkonen,7.0,Finnish,alfa,Swiss,2021,16,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,+1 Lap,0.0,7.0,9.0,0.0,87525.0,87525.0,87525.0,45,42,Overcast with intermittent rain,0,0,0,1,1,Race circuit,Anti-clockwise,5.338,58.0,309.396,87525.0,87525.0,87525.0,27,15,259,0,0,0,0,0,0,0,1,0,2,3,1,1,0,2,0,1,1,322.0,91.0,84.0,86.0,87.0 +3.0,20,13,0.0,57,,34.0,15.0,93255.0,206.067,ricciardo,3.0,Australian,mclaren,British,2021,16,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,+1 Lap,1.0,240.0,3.0,1.0,85881.0,85881.0,85881.0,35,32,Overcast with intermittent rain,0,0,0,1,1,Race circuit,Anti-clockwise,5.338,58.0,309.396,85881.0,85881.0,85881.0,22,10,204,1,0,0,2,1,3,2,0,2,0,2,1,1,0,0,0,0,0,231.0,94.0,91.0,88.0,90.0 +63.0,13,15,0.0,57,,53.0,16.0,93399.0,205.749,russell,63.0,British,williams,British,2021,16,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,+1 Lap,0.0,23.0,8.0,0.0,85417.0,85007.0,85007.0,26,23,Overcast with intermittent rain,0,0,0,1,1,Race circuit,Anti-clockwise,5.338,58.0,309.396,85007.0,85417.0,85143.66666666667,21,2,54,1,1,0,0,0,0,0,1,1,1,1,2,0,3,0,1,2,0,135.0,76.0,99.0,83.0,84.0 +55.0,19,8,4.0,58,5515629.0,49.0,2.0,91921.0,209.057,sainz,55.0,Spanish,ferrari,Italian,2021,16,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,0.0,232.5,4.0,0.0,85177.0,85177.0,85177.0,30,27,Overcast with intermittent rain,0,0,0,1,1,Race circuit,Anti-clockwise,5.338,58.0,309.396,85177.0,85177.0,85177.0,21,6,135,3,1,2,0,2,3,2,2,0,1,2,0,0,0,0,0,0,0,178.0,88.0,94.0,85.0,87.0 +18.0,8,9,2.0,58,5546121.0,58.0,6.0,92608.0,207.506,stroll,18.0,Canadian,aston_martin,British,2021,16,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,Finished,0.0,61.0,7.0,0.0,85511.0,84601.0,84305.0,26,23,Overcast with intermittent rain,0,0,0,1,1,Race circuit,Anti-clockwise,5.338,58.0,309.396,84305.0,85511.0,84805.66666666667,19,4,94,0,0,0,0,0,0,1,4,0,2,2,1,1,1,0,0,0,0,145.0,93.0,82.0,82.0,83.0 +22.0,9,14,0.0,57,,54.0,12.0,92844.0,206.979,tsunoda,22.0,Japanese,alphatauri,Italian,2021,16,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,+1 Lap,0.0,92.0,6.0,0.0,85409.0,84054.0,84368.0,24,21,Overcast with intermittent rain,0,0,0,1,1,Race circuit,Anti-clockwise,5.338,58.0,309.396,84054.0,85409.0,84610.33333333333,21,0,16,0,0,0,0,0,1,1,0,1,2,0,2,1,0,2,1,1,0,68.0,88.0,78.0,86.0,82.0 +5.0,10,18,0.0,57,,54.0,7.0,92730.0,207.233,vettel,5.0,German,aston_martin,British,2021,16,Turkish Grand Prix,43200000.0,istanbul,Istanbul,Turkey,40.9517,29.405,130.0,+1 Lap,0.0,61.0,7.0,0.0,85787.0,84795.0,84795.0,37,34,Overcast with intermittent rain,0,0,0,1,1,Race circuit,Anti-clockwise,5.338,58.0,309.396,84795.0,85787.0,85125.66666666667,20,14,274,1,1,0,0,2,0,0,0,1,0,0,3,3,0,2,0,1,0,284.0,93.0,87.0,88.0,89.0 +77.0,9,6,8.0,56,5756680.0,41.0,6.0,100147.0,198.176,bottas,77.0,Finnish,mercedes,German,2021,17,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,1.0,460.5,1.0,6.0,94590.0,93959.0,93475.0,35,32,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,93475.0,94590.0,94008.0,24,8,174,9,1,7,1,1,0,0,0,0,0,0,2,0,0,0,1,0,1,207.0,89.0,99.0,92.0,92.0 +99.0,12,11,0.0,55,,44.0,12.0,101145.0,196.221,giovinazzi,99.0,Italian,alfa,Swiss,2021,17,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,+1 Lap,0.0,7.0,9.0,0.0,95920.0,95794.0,95794.0,31,28,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,95794.0,95920.0,95836.0,24,4,57,0,0,0,0,0,0,0,0,0,1,2,2,4,3,3,1,0,0,106.0,82.0,82.0,80.0,79.0 +44.0,2,2,19.0,56,5677885.0,41.0,1.0,98485.0,201.521,hamilton,44.0,British,mercedes,German,2021,17,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,5.0,460.5,1.0,6.0,94579.0,93797.0,93119.0,39,36,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,93119.0,94579.0,93831.66666666669,22,14,283,11,5,1,1,1,0,1,0,0,0,0,0,0,0,1,0,1,0,288.0,94.0,89.0,98.0,95.0 +6.0,14,15,0.0,55,,46.0,17.0,101818.0,194.924,latifi,6.0,Canadian,williams,British,2021,17,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,+1 Lap,0.0,23.0,8.0,0.0,95995.0,95995.0,95995.0,29,26,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,95995.0,95995.0,95995.0,25,1,34,0,0,0,0,0,0,1,0,1,0,1,0,0,1,1,4,2,3,111.0,69.0,79.0,70.0,71.0 +16.0,4,4,12.0,56,5728798.0,41.0,3.0,99303.0,199.861,leclerc,16.0,Monegasque,ferrari,Italian,2021,17,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,0.0,250.5,4.0,0.0,94153.0,93928.0,93606.0,27,24,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,93606.0,94153.0,93895.66666666669,21,3,76,1,1,0,5,1,2,1,2,0,0,0,0,0,0,1,1,0,1,145.0,88.0,87.0,92.0,88.0 +33.0,1,1,25.0,56,5676552.0,52.0,2.0,99096.0,200.278,max_verstappen,33.0,Dutch,red_bull,Austrian,2021,17,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,7.0,437.5,2.0,9.0,94352.0,93464.0,92910.0,27,24,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,92910.0,94352.0,93575.33333333331,18,6,136,12,5,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,2,178.0,96.0,96.0,97.0,95.0 +9.0,17,17,0.0,54,,42.0,20.0,102886.0,192.9,mazepin,9.0,Russian,haas,American,2021,17,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,+2 Laps,0.0,0.0,10.0,0.0,96796.0,96796.0,96796.0,25,22,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,96796.0,96796.0,96796.0,22,0,17,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,1,4,2,73.0,65.0,78.0,66.0,67.0 +47.0,16,16,0.0,54,,36.0,16.0,101395.0,195.737,mick_schumacher,47.0,German,haas,American,2021,17,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,+2 Laps,0.0,0.0,10.0,0.0,96499.0,96499.0,96499.0,25,22,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,96499.0,96499.0,96499.0,22,0,17,0,0,0,0,0,0,0,0,0,0,0,1,1,0,1,4,1,5,73.0,65.0,81.0,83.0,76.0 +4.0,7,8,4.0,56,5760947.0,41.0,7.0,100228.0,198.016,norris,4.0,British,mclaren,British,2021,17,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,0.0,254.0,3.0,1.0,94551.0,93880.0,93887.0,25,22,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,93880.0,94551.0,94106.0,20,2,55,4,1,3,2,4,0,2,1,0,1,0,0,0,1,1,0,0,0,135.0,96.0,99.0,89.0,91.0 +11.0,3,3,15.0,56,5718775.0,32.0,4.0,99566.0,199.333,perez,11.0,Mexican,red_bull,Austrian,2021,17,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,1.0,437.5,2.0,9.0,94369.0,94178.0,93134.0,34,31,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,93134.0,94369.0,93893.66666666669,21,10,210,3,0,2,3,3,1,0,1,1,0,1,0,0,0,0,1,1,0,236.0,92.0,84.0,87.0,87.0 +7.0,15,13,0.0,55,,43.0,15.0,101340.0,195.843,raikkonen,7.0,Finnish,alfa,Swiss,2021,17,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,+1 Lap,0.0,7.0,9.0,0.0,96311.0,96311.0,96311.0,45,42,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,96311.0,96311.0,96311.0,27,15,260,0,0,0,0,0,0,0,1,0,2,3,2,1,0,2,0,1,1,322.0,91.0,84.0,86.0,87.0 +3.0,6,5,10.0,56,5753406.0,43.0,8.0,100345.0,197.785,ricciardo,3.0,Australian,mclaren,British,2021,17,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,1.0,254.0,3.0,1.0,94407.0,94643.0,93808.0,35,32,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,93808.0,94643.0,94286.0,22,10,205,1,0,0,2,1,3,2,0,2,0,2,1,2,0,0,0,0,0,231.0,94.0,91.0,88.0,90.0 +63.0,20,14,0.0,55,,36.0,11.0,101120.0,196.269,russell,63.0,British,williams,British,2021,17,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,+1 Lap,0.0,23.0,8.0,0.0,95746.0,95746.0,95746.0,26,23,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,95746.0,95746.0,95746.0,21,2,55,1,1,0,0,0,0,0,1,1,1,1,2,0,3,1,1,2,0,135.0,76.0,99.0,83.0,84.0 +55.0,5,7,6.0,56,5760097.0,40.0,9.0,100377.0,197.722,sainz,55.0,Spanish,ferrari,Italian,2021,17,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,0.0,250.5,4.0,0.0,94558.0,94126.0,93792.0,30,27,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,93792.0,94558.0,94158.66666666669,21,6,136,3,1,2,0,2,3,2,3,0,1,2,0,0,0,0,0,0,0,178.0,88.0,94.0,85.0,87.0 +18.0,13,12,0.0,55,,36.0,14.0,101189.0,196.135,stroll,18.0,Canadian,aston_martin,British,2021,17,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,+1 Lap,0.0,62.0,7.0,0.0,95983.0,95983.0,95983.0,26,23,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,95983.0,95983.0,95983.0,19,4,95,0,0,0,0,0,0,1,4,1,2,2,1,1,1,0,0,0,0,145.0,93.0,82.0,82.0,83.0 +22.0,10,9,2.0,55,,47.0,13.0,101151.0,196.209,tsunoda,22.0,Japanese,alphatauri,Italian,2021,17,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,+1 Lap,0.0,94.0,6.0,0.0,95360.0,95137.0,94918.0,24,21,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,94918.0,95360.0,95138.33333333331,21,0,17,0,0,0,0,0,1,1,0,1,2,0,2,1,1,2,1,1,0,68.0,88.0,78.0,86.0,82.0 +5.0,18,10,1.0,55,,40.0,10.0,100481.0,197.517,vettel,5.0,German,aston_martin,British,2021,17,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,+1 Lap,0.0,62.0,7.0,0.0,95281.0,95500.0,95500.0,37,34,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,5.513,56.0,308.405,95281.0,95500.0,95427.0,20,14,275,1,1,0,0,2,0,0,0,1,0,0,3,3,0,2,0,1,1,284.0,93.0,87.0,88.0,89.0 +14.0,12,9,2.0,70,,54.0,10.0,80711.0,191.973,alonso,14.0,Spanish,alpine,French,2021,18,Mexico City Grand Prix,68400000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,+1 Lap,0.0,106.0,5.0,1.0,78452.0,78452.0,78452.0,43,40,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.304,71.0,305.354,78452.0,78452.0,78452.0,25,15,262,0,0,0,1,0,3,1,3,1,2,1,0,1,0,0,1,1,1,322.0,89.0,94.0,86.0,89.0 +77.0,1,15,0.0,69,,69.0,1.0,77774.0,199.223,bottas,77.0,Finnish,mercedes,German,2021,18,Mexico City Grand Prix,68400000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,+2 Laps,1.0,478.5,1.0,6.0,76727.0,76864.0,75875.0,35,32,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.304,71.0,305.354,75875.0,76864.0,76488.66666666667,24,8,175,9,1,7,1,1,1,0,0,0,0,0,2,0,0,0,1,0,1,207.0,89.0,99.0,92.0,92.0 +10.0,5,4,12.0,71,5982931.0,66.0,7.0,80510.0,192.453,gasly,10.0,French,alphatauri,Italian,2021,18,Mexico City Grand Prix,68400000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,Finished,0.0,106.0,6.0,0.0,76908.0,76955.0,76456.0,28,25,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.304,71.0,305.354,76456.0,76955.0,76773.0,21,4,82,1,0,1,1,1,3,2,0,1,2,1,0,1,0,0,0,1,0,130.0,92.0,99.0,89.0,90.0 +99.0,11,11,0.0,70,,68.0,16.0,81523.0,190.061,giovinazzi,99.0,Italian,alfa,Swiss,2021,18,Mexico City Grand Prix,68400000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,+1 Lap,0.0,11.0,9.0,0.0,77897.0,78290.0,78290.0,31,28,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.304,71.0,305.354,77897.0,78290.0,78159.0,24,4,58,0,0,0,0,0,0,0,0,0,1,3,2,4,3,3,1,0,0,106.0,82.0,82.0,80.0,79.0 +44.0,2,2,18.0,71,5935641.0,66.0,4.0,79820.0,194.116,hamilton,44.0,British,mercedes,German,2021,18,Mexico City Grand Prix,68400000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,Finished,5.0,478.5,1.0,6.0,77207.0,76474.0,76020.0,39,36,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.304,71.0,305.354,76020.0,77207.0,76567.0,22,14,284,12,6,1,1,1,0,1,0,0,0,0,0,0,0,1,0,1,0,288.0,94.0,89.0,98.0,95.0 +6.0,13,17,0.0,69,,66.0,17.0,81546.0,190.008,latifi,6.0,Canadian,williams,British,2021,18,Mexico City Grand Prix,68400000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,+2 Laps,0.0,23.0,8.0,0.0,78756.0,78756.0,78756.0,29,26,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.304,71.0,305.354,78756.0,78756.0,78756.0,25,1,35,0,0,0,0,0,0,1,0,1,0,1,0,0,1,2,4,2,3,111.0,69.0,79.0,70.0,71.0 +16.0,8,5,10.0,71,6000123.0,63.0,9.0,80665.0,192.083,leclerc,16.0,Monegasque,ferrari,Italian,2021,18,Mexico City Grand Prix,68400000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,Finished,0.0,268.5,3.0,0.0,76748.0,77034.0,76837.0,27,24,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.304,71.0,305.354,76748.0,77034.0,76873.0,21,3,77,1,1,0,6,1,2,1,2,0,0,0,0,0,0,1,1,0,1,145.0,88.0,87.0,92.0,88.0 +33.0,3,1,25.0,71,5919086.0,52.0,2.0,78999.0,196.134,max_verstappen,33.0,Dutch,red_bull,Austrian,2021,18,Mexico City Grand Prix,68400000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,Finished,8.0,477.5,2.0,10.0,76788.0,76483.0,76225.0,27,24,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.304,71.0,305.354,76225.0,76788.0,76498.66666666667,18,6,137,13,5,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,2,178.0,96.0,96.0,97.0,95.0 +9.0,15,18,0.0,68,,61.0,15.0,81402.0,190.344,mazepin,9.0,Russian,haas,American,2021,18,Mexico City Grand Prix,68400000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,+3 Laps,0.0,0.0,10.0,0.0,79303.0,79303.0,79303.0,25,22,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.304,71.0,305.354,79303.0,79303.0,79303.0,22,0,18,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,1,5,2,73.0,65.0,78.0,66.0,67.0 +4.0,18,10,1.0,70,,67.0,8.0,80617.0,192.197,norris,4.0,British,mclaren,British,2021,18,Mexico City Grand Prix,68400000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,+1 Lap,0.0,255.0,4.0,1.0,77569.0,77473.0,96830.0,25,22,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.304,71.0,305.354,77473.0,96830.0,83957.33333333333,20,2,56,4,1,3,2,4,0,2,2,0,1,0,0,0,1,1,0,0,0,135.0,96.0,99.0,89.0,91.0 +31.0,19,13,0.0,70,,67.0,14.0,81348.0,190.47,ocon,31.0,French,alpine,French,2021,18,Mexico City Grand Prix,68400000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,+1 Lap,1.0,106.0,5.0,1.0,78126.0,78405.0,78405.0,28,25,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.304,71.0,305.354,78126.0,78405.0,78312.0,20,5,85,1,0,0,0,0,0,2,0,5,2,0,0,1,3,0,0,0,0,135.0,93.0,98.0,79.0,86.0 +11.0,4,3,15.0,71,5936838.0,49.0,3.0,79468.0,194.976,perez,11.0,Mexican,red_bull,Austrian,2021,18,Mexico City Grand Prix,68400000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,Finished,1.0,477.5,2.0,10.0,77003.0,77055.0,76342.0,34,31,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.304,71.0,305.354,76342.0,77055.0,76800.0,21,10,211,4,0,3,3,3,1,0,1,1,0,1,0,0,0,0,1,1,0,236.0,92.0,84.0,87.0,87.0 +7.0,10,8,4.0,70,,63.0,11.0,80713.0,191.969,raikkonen,7.0,Finnish,alfa,Swiss,2021,18,Mexico City Grand Prix,68400000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,+1 Lap,0.0,11.0,9.0,0.0,77606.0,77958.0,77958.0,45,42,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.304,71.0,305.354,77606.0,77958.0,77840.66666666667,27,15,261,0,0,0,0,0,0,0,1,0,2,3,2,2,0,2,0,1,1,322.0,91.0,84.0,86.0,87.0 +3.0,7,12,0.0,70,,40.0,13.0,81069.0,191.126,ricciardo,3.0,Australian,mclaren,British,2021,18,Mexico City Grand Prix,68400000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,+1 Lap,1.0,255.0,4.0,1.0,77719.0,77092.0,76763.0,35,32,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.304,71.0,305.354,76763.0,77719.0,77191.33333333333,22,10,206,1,0,0,2,2,3,2,0,2,0,2,1,2,0,0,0,0,0,231.0,94.0,91.0,88.0,90.0 +63.0,16,16,0.0,69,,61.0,18.0,82016.0,188.919,russell,63.0,British,williams,British,2021,18,Mexico City Grand Prix,68400000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,+2 Laps,0.0,23.0,8.0,0.0,77958.0,78172.0,78172.0,26,23,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.304,71.0,305.354,77958.0,78172.0,78100.66666666667,21,2,56,1,1,0,0,0,0,0,1,1,1,1,2,0,4,1,1,2,0,135.0,76.0,99.0,83.0,84.0 +55.0,6,6,8.0,70,,63.0,5.0,80081.0,193.484,sainz,55.0,Spanish,ferrari,Italian,2021,18,Mexico City Grand Prix,68400000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,+1 Lap,0.0,268.5,3.0,0.0,77517.0,77248.0,76761.0,30,27,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.304,71.0,305.354,76761.0,77517.0,77175.33333333333,21,6,137,3,1,2,0,2,3,3,3,0,1,2,0,0,0,0,0,0,0,178.0,88.0,94.0,85.0,87.0 +18.0,20,14,0.0,69,,61.0,12.0,80930.0,191.454,stroll,18.0,Canadian,aston_martin,British,2021,18,Mexico City Grand Prix,68400000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,+2 Laps,0.0,68.0,7.0,0.0,80873.0,80873.0,80873.0,26,23,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.304,71.0,305.354,80873.0,80873.0,80873.0,19,4,96,0,0,0,0,0,0,1,4,1,2,2,2,1,1,0,0,0,0,145.0,93.0,82.0,82.0,83.0 +5.0,9,7,6.0,70,,70.0,6.0,80460.0,192.572,vettel,5.0,German,aston_martin,British,2021,18,Mexico City Grand Prix,68400000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,+1 Lap,0.0,68.0,7.0,0.0,77502.0,77746.0,77746.0,37,34,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.304,71.0,305.354,77502.0,77746.0,77664.66666666667,20,14,276,1,1,0,0,2,0,0,0,1,1,0,3,3,0,2,0,1,1,284.0,93.0,87.0,88.0,89.0 +14.0,12,9,2.0,70,,37.0,12.0,73922.0,209.848,alonso,14.0,Spanish,alpine,French,2021,19,São Paulo Grand Prix,61200000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,112.0,5.0,1.0,69391.0,69137.0,69113.0,43,40,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,69113.0,69391.0,69213.66666666667,25,15,263,0,0,0,1,0,3,1,3,2,2,1,0,1,0,0,1,1,1,322.0,89.0,94.0,86.0,89.0 +77.0,1,3,15.0,71,5556427.0,49.0,4.0,72526.0,213.887,bottas,77.0,Finnish,mercedes,German,2021,19,São Paulo Grand Prix,61200000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,1.0,521.5,1.0,7.0,69040.0,68426.0,68469.0,35,32,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,68426.0,69040.0,68645.0,24,8,176,9,1,7,1,1,1,0,0,0,0,0,2,0,0,1,1,0,1,207.0,89.0,99.0,92.0,92.0 +10.0,7,7,6.0,70,,53.0,8.0,73227.0,211.839,gasly,10.0,French,alphatauri,Italian,2021,19,São Paulo Grand Prix,61200000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,112.0,6.0,0.0,69347.0,68903.0,68777.0,28,25,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,68777.0,69347.0,69009.0,21,4,83,1,0,1,2,1,3,2,0,1,2,1,0,1,0,0,0,1,0,130.0,92.0,99.0,89.0,90.0 +99.0,13,14,0.0,70,,44.0,14.0,74227.0,208.985,giovinazzi,99.0,Italian,alfa,Swiss,2021,19,São Paulo Grand Prix,61200000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,11.0,9.0,0.0,69342.0,70227.0,70227.0,31,28,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,69342.0,70227.0,69932.0,24,4,59,0,0,0,0,0,0,0,0,0,1,4,2,4,3,3,1,0,0,106.0,82.0,82.0,80.0,79.0 +44.0,10,1,25.0,71,5542851.0,46.0,2.0,71982.0,215.503,hamilton,44.0,British,mercedes,German,2021,19,São Paulo Grand Prix,61200000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,5.0,521.5,1.0,7.0,68733.0,68068.0,67934.0,39,36,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,67934.0,68733.0,68245.0,22,14,285,13,7,1,1,1,0,1,0,0,0,0,0,0,0,1,0,1,0,288.0,94.0,89.0,98.0,95.0 +6.0,16,16,0.0,70,,57.0,18.0,74616.0,207.896,latifi,6.0,Canadian,williams,British,2021,19,São Paulo Grand Prix,61200000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,23.0,8.0,0.0,69897.0,69897.0,69897.0,29,26,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,69897.0,69897.0,69897.0,25,1,36,0,0,0,0,0,0,1,0,1,0,1,0,0,1,2,4,3,3,111.0,69.0,79.0,70.0,71.0 +16.0,6,5,10.0,71,5592368.0,61.0,7.0,72822.0,213.018,leclerc,16.0,Monegasque,ferrari,Italian,2021,19,São Paulo Grand Prix,61200000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,287.5,3.0,0.0,69155.0,68859.0,68960.0,27,24,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,68859.0,69155.0,68991.33333333333,21,3,78,1,1,0,6,2,2,1,2,0,0,0,0,0,0,1,1,0,1,145.0,88.0,87.0,92.0,88.0 +33.0,2,2,18.0,71,5553347.0,47.0,3.0,72486.0,214.005,max_verstappen,33.0,Dutch,red_bull,Austrian,2021,19,São Paulo Grand Prix,61200000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,9.0,510.5,2.0,10.0,69329.0,68499.0,68372.0,27,24,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,68372.0,69329.0,68733.33333333333,18,6,138,14,5,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,2,178.0,96.0,96.0,97.0,95.0 +9.0,19,17,0.0,69,,36.0,19.0,74954.0,206.958,mazepin,9.0,Russian,haas,American,2021,19,São Paulo Grand Prix,61200000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+2 Laps,0.0,0.0,10.0,0.0,70589.0,70589.0,70589.0,25,22,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,70589.0,70589.0,70589.0,22,0,19,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,1,5,3,73.0,65.0,78.0,66.0,67.0 +47.0,18,18,0.0,69,,66.0,11.0,73793.0,210.215,mick_schumacher,47.0,German,haas,American,2021,19,São Paulo Grand Prix,61200000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+2 Laps,0.0,0.0,10.0,0.0,70329.0,70329.0,70329.0,25,22,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,70329.0,70329.0,70329.0,22,0,19,0,0,0,0,0,0,0,0,0,0,0,1,1,0,1,5,1,5,73.0,65.0,81.0,83.0,76.0 +4.0,5,10,1.0,70,,53.0,10.0,73761.0,210.306,norris,4.0,British,mclaren,British,2021,19,São Paulo Grand Prix,61200000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,256.0,4.0,1.0,69365.0,69030.0,68980.0,25,22,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,68980.0,69365.0,69125.0,20,2,57,4,1,3,2,4,0,2,2,0,2,0,0,0,1,1,0,0,0,135.0,96.0,99.0,89.0,91.0 +31.0,8,8,4.0,70,,48.0,16.0,74430.0,208.415,ocon,31.0,French,alpine,French,2021,19,São Paulo Grand Prix,61200000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,1.0,112.0,5.0,1.0,69430.0,69189.0,69189.0,28,25,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,69189.0,69430.0,69269.33333333333,20,5,86,1,0,0,0,0,0,2,0,5,2,0,0,2,3,0,0,0,0,135.0,93.0,98.0,79.0,86.0 +11.0,4,4,13.0,71,5582791.0,71.0,1.0,71010.0,218.453,perez,11.0,Mexican,red_bull,Austrian,2021,19,São Paulo Grand Prix,61200000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,1.0,510.5,2.0,10.0,69172.0,68973.0,68483.0,34,31,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,68483.0,69172.0,68876.0,21,10,212,5,0,4,3,3,1,0,1,1,0,1,0,0,0,0,1,1,0,236.0,92.0,84.0,87.0,87.0 +7.0,20,12,0.0,70,,54.0,5.0,72621.0,213.607,raikkonen,7.0,Finnish,alfa,Swiss,2021,19,São Paulo Grand Prix,61200000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,11.0,9.0,0.0,69598.0,69503.0,69503.0,45,42,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,69503.0,69598.0,69534.66666666667,27,15,262,0,0,0,0,0,0,0,2,0,2,3,2,2,0,2,0,1,1,322.0,91.0,84.0,86.0,87.0 +63.0,17,13,0.0,70,,45.0,15.0,74355.0,208.626,russell,63.0,British,williams,British,2021,19,São Paulo Grand Prix,61200000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,23.0,8.0,0.0,69953.0,69953.0,69953.0,26,23,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,69953.0,69953.0,69953.0,21,2,57,1,1,0,0,0,0,0,1,1,1,1,2,0,4,1,2,2,0,135.0,76.0,99.0,83.0,84.0 +55.0,3,6,8.0,71,5594671.0,63.0,6.0,72710.0,213.346,sainz,55.0,Spanish,ferrari,Italian,2021,19,São Paulo Grand Prix,61200000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,287.5,3.0,0.0,69046.0,69031.0,68826.0,30,27,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,68826.0,69046.0,68967.66666666667,21,6,138,3,1,2,0,2,4,3,3,0,1,2,0,0,0,0,0,0,0,178.0,88.0,94.0,85.0,87.0 +22.0,15,15,0.0,70,,62.0,13.0,74204.0,209.05,tsunoda,22.0,Japanese,alphatauri,Italian,2021,19,São Paulo Grand Prix,61200000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,112.0,6.0,0.0,69350.0,69483.0,69483.0,24,21,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,69350.0,69483.0,69438.66666666667,21,0,19,0,0,0,0,0,1,1,0,2,2,0,2,1,1,2,1,1,0,68.0,88.0,78.0,86.0,82.0 +5.0,9,11,0.0,70,,69.0,9.0,73634.0,210.668,vettel,5.0,German,aston_martin,British,2021,19,São Paulo Grand Prix,61200000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,68.0,7.0,0.0,69451.0,69399.0,69399.0,37,34,Sunny,1,0,0,0,0,Race circuit,Anti-clockwise,4.309,71.0,305.879,69399.0,69451.0,69416.33333333333,20,14,277,1,1,0,0,2,0,1,0,1,1,0,3,3,0,2,0,1,1,284.0,93.0,87.0,88.0,89.0 +14.0,3,3,15.0,57,5127928.0,48.0,10.0,86682.0,223.437,alonso,14.0,Spanish,alpine,French,2021,20,Qatar Grand Prix,50400000.0,losail,Al Daayen,Qatar,25.49,51.4542,20.0,Finished,0.0,137.0,5.0,1.0,82422.0,81894.0,81670.0,43,40,Clear,1,0,0,0,0,Race circuit,Clockwise,5.419,57.0,308.611,81670.0,82422.0,81995.33333333333,25,15,264,0,0,0,1,0,3,1,3,3,2,1,0,1,0,0,1,1,1,322.0,89.0,94.0,86.0,89.0 +10.0,2,11,0.0,56,,46.0,11.0,87019.0,222.572,gasly,10.0,French,alphatauri,Italian,2021,20,Qatar Grand Prix,50400000.0,losail,Al Daayen,Qatar,25.49,51.4542,20.0,+1 Lap,0.0,112.0,6.0,0.0,82535.0,81728.0,81640.0,28,25,Clear,1,0,0,0,0,Race circuit,Clockwise,5.419,57.0,308.611,81640.0,82535.0,81967.66666666667,21,4,84,1,0,1,2,1,3,3,0,1,2,1,0,1,0,0,0,1,0,130.0,92.0,99.0,89.0,90.0 +99.0,18,15,0.0,56,,40.0,18.0,87823.0,220.534,giovinazzi,99.0,Italian,alfa,Swiss,2021,20,Qatar Grand Prix,50400000.0,losail,Al Daayen,Qatar,25.49,51.4542,20.0,+1 Lap,0.0,11.0,9.0,0.0,83262.0,83262.0,83262.0,31,28,Clear,1,0,0,0,0,Race circuit,Clockwise,5.419,57.0,308.611,83262.0,83262.0,83262.0,24,4,60,0,0,0,0,0,0,0,0,0,1,4,2,4,4,3,1,0,0,106.0,82.0,82.0,80.0,79.0 +44.0,1,1,25.0,57,5068471.0,50.0,2.0,85084.0,227.633,hamilton,44.0,British,mercedes,German,2021,20,Qatar Grand Prix,50400000.0,losail,Al Daayen,Qatar,25.49,51.4542,20.0,Finished,6.0,546.5,1.0,8.0,81901.0,81682.0,80827.0,39,36,Clear,1,0,0,0,0,Race circuit,Clockwise,5.419,57.0,308.611,80827.0,81901.0,81470.0,22,14,286,14,7,1,1,1,0,1,0,0,0,0,0,0,0,1,0,1,0,288.0,94.0,89.0,98.0,95.0 +16.0,13,8,4.0,57,5151597.0,46.0,8.0,86555.0,223.765,leclerc,16.0,Monegasque,ferrari,Italian,2021,20,Qatar Grand Prix,50400000.0,losail,Al Daayen,Qatar,25.49,51.4542,20.0,Finished,0.0,297.5,3.0,0.0,82742.0,82463.0,82463.0,27,24,Clear,1,0,0,0,0,Race circuit,Clockwise,5.419,57.0,308.611,82463.0,82742.0,82556.0,21,3,79,1,1,0,6,3,2,1,2,0,0,0,0,0,0,1,1,0,1,145.0,88.0,87.0,92.0,88.0 +33.0,7,2,19.0,57,5094214.0,57.0,1.0,83196.0,232.799,max_verstappen,33.0,Dutch,red_bull,Austrian,2021,20,Qatar Grand Prix,50400000.0,losail,Al Daayen,Qatar,25.49,51.4542,20.0,Finished,9.0,541.5,2.0,10.0,81996.0,81984.0,81282.0,27,24,Clear,1,0,0,0,0,Race circuit,Clockwise,5.419,57.0,308.611,81282.0,81996.0,81754.0,18,6,139,15,6,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,2,178.0,96.0,96.0,97.0,95.0 +9.0,20,18,0.0,55,,55.0,16.0,87340.0,221.754,mazepin,9.0,Russian,haas,American,2021,20,Qatar Grand Prix,50400000.0,losail,Al Daayen,Qatar,25.49,51.4542,20.0,+2 Laps,0.0,0.0,10.0,0.0,85859.0,85859.0,85859.0,25,22,Clear,1,0,0,0,0,Race circuit,Clockwise,5.419,57.0,308.611,85859.0,85859.0,85859.0,22,0,20,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,1,6,3,73.0,65.0,78.0,66.0,67.0 +47.0,19,16,0.0,56,,46.0,19.0,88412.0,219.065,mick_schumacher,47.0,German,haas,American,2021,20,Qatar Grand Prix,50400000.0,losail,Al Daayen,Qatar,25.49,51.4542,20.0,+1 Lap,0.0,0.0,10.0,0.0,83407.0,83407.0,83407.0,25,22,Clear,1,0,0,0,0,Race circuit,Clockwise,5.419,57.0,308.611,83407.0,83407.0,83407.0,22,0,20,0,0,0,0,0,0,0,0,0,0,0,1,1,0,1,5,1,6,73.0,65.0,81.0,83.0,76.0 +4.0,4,9,2.0,56,,51.0,4.0,85746.0,225.876,norris,4.0,British,mclaren,British,2021,20,Qatar Grand Prix,50400000.0,losail,Al Daayen,Qatar,25.49,51.4542,20.0,+1 Lap,0.0,258.0,4.0,1.0,82839.0,82216.0,81731.0,25,22,Clear,1,0,0,0,0,Race circuit,Clockwise,5.419,57.0,308.611,81731.0,82839.0,82262.0,20,2,58,4,1,3,2,4,0,2,2,0,3,0,0,0,1,1,0,0,0,135.0,96.0,99.0,89.0,91.0 +31.0,9,5,10.0,57,5149041.0,46.0,13.0,87061.0,222.464,ocon,31.0,French,alpine,French,2021,20,Qatar Grand Prix,50400000.0,losail,Al Daayen,Qatar,25.49,51.4542,20.0,Finished,1.0,137.0,5.0,1.0,82565.0,82012.0,82028.0,28,25,Clear,1,0,0,0,0,Race circuit,Clockwise,5.419,57.0,308.611,82012.0,82565.0,82201.66666666667,20,5,87,1,0,0,0,0,0,2,1,5,2,0,0,2,3,0,0,0,0,135.0,93.0,98.0,79.0,86.0 +11.0,11,4,12.0,57,5130777.0,49.0,3.0,85613.0,226.227,perez,11.0,Mexican,red_bull,Austrian,2021,20,Qatar Grand Prix,50400000.0,losail,Al Daayen,Qatar,25.49,51.4542,20.0,Finished,1.0,541.5,2.0,10.0,82398.0,82346.0,82346.0,34,31,Clear,1,0,0,0,0,Race circuit,Clockwise,5.419,57.0,308.611,82346.0,82398.0,82363.33333333333,21,10,213,5,0,4,4,3,1,0,1,1,0,1,0,0,0,0,1,1,0,236.0,92.0,84.0,87.0,87.0 +7.0,16,14,0.0,56,,53.0,6.0,86358.0,224.275,raikkonen,7.0,Finnish,alfa,Swiss,2021,20,Qatar Grand Prix,50400000.0,losail,Al Daayen,Qatar,25.49,51.4542,20.0,+1 Lap,0.0,11.0,9.0,0.0,83156.0,83156.0,83156.0,45,42,Clear,1,0,0,0,0,Race circuit,Clockwise,5.419,57.0,308.611,83156.0,83156.0,83156.0,27,15,263,0,0,0,0,0,0,0,2,0,2,3,3,2,0,2,0,1,1,322.0,91.0,84.0,86.0,87.0 +3.0,14,12,0.0,56,,50.0,14.0,87198.0,222.115,ricciardo,3.0,Australian,mclaren,British,2021,20,Qatar Grand Prix,50400000.0,losail,Al Daayen,Qatar,25.49,51.4542,20.0,+1 Lap,1.0,258.0,4.0,1.0,82688.0,82597.0,82597.0,35,32,Clear,1,0,0,0,0,Race circuit,Clockwise,5.419,57.0,308.611,82597.0,82688.0,82627.33333333333,22,10,208,1,0,0,2,2,3,2,0,2,0,2,2,2,0,0,0,0,0,231.0,94.0,91.0,88.0,90.0 +63.0,15,17,0.0,55,,55.0,5.0,85768.0,225.818,russell,63.0,British,williams,British,2021,20,Qatar Grand Prix,50400000.0,losail,Al Daayen,Qatar,25.49,51.4542,20.0,+2 Laps,0.0,23.0,8.0,0.0,82863.0,82756.0,82756.0,26,23,Clear,1,0,0,0,0,Race circuit,Clockwise,5.419,57.0,308.611,82756.0,82863.0,82791.66666666667,21,2,58,1,1,0,0,0,0,0,1,1,1,1,2,1,4,1,2,2,0,135.0,76.0,99.0,83.0,84.0 +55.0,5,7,6.0,57,5150382.0,46.0,9.0,86570.0,223.726,sainz,55.0,Spanish,ferrari,Italian,2021,20,Qatar Grand Prix,50400000.0,losail,Al Daayen,Qatar,25.49,51.4542,20.0,Finished,0.0,297.5,3.0,0.0,82304.0,82241.0,81840.0,30,27,Clear,1,0,0,0,0,Race circuit,Clockwise,5.419,57.0,308.611,81840.0,82304.0,82128.33333333333,21,6,139,3,1,2,0,2,5,3,3,0,1,2,0,0,0,0,0,0,0,178.0,88.0,94.0,85.0,87.0 +18.0,12,6,8.0,57,5149745.0,44.0,17.0,87356.0,221.713,stroll,18.0,Canadian,aston_martin,British,2021,20,Qatar Grand Prix,50400000.0,losail,Al Daayen,Qatar,25.49,51.4542,20.0,Finished,0.0,77.0,7.0,0.0,82551.0,82460.0,82460.0,26,23,Clear,1,0,0,0,0,Race circuit,Clockwise,5.419,57.0,308.611,82460.0,82551.0,82490.33333333333,19,4,98,0,0,0,0,0,0,1,4,1,2,2,2,1,2,0,0,0,0,145.0,93.0,82.0,82.0,83.0 +22.0,8,13,0.0,56,,50.0,12.0,87043.0,222.51,tsunoda,22.0,Japanese,alphatauri,Italian,2021,20,Qatar Grand Prix,50400000.0,losail,Al Daayen,Qatar,25.49,51.4542,20.0,+1 Lap,0.0,112.0,6.0,0.0,82458.0,82058.0,81881.0,24,21,Clear,1,0,0,0,0,Race circuit,Clockwise,5.419,57.0,308.611,81881.0,82458.0,82132.33333333333,21,0,20,0,0,0,0,0,1,1,0,2,2,0,2,1,1,3,1,1,0,68.0,88.0,78.0,86.0,82.0 +5.0,10,10,1.0,56,,53.0,7.0,86434.0,224.078,vettel,5.0,German,aston_martin,British,2021,20,Qatar Grand Prix,50400000.0,losail,Al Daayen,Qatar,25.49,51.4542,20.0,+1 Lap,0.0,77.0,7.0,0.0,82549.0,82146.0,82785.0,37,34,Clear,1,0,0,0,0,Race circuit,Clockwise,5.419,57.0,308.611,82146.0,82785.0,82493.33333333333,20,14,278,1,1,0,0,2,0,1,0,1,1,1,3,3,0,2,0,1,1,284.0,93.0,87.0,88.0,89.0 +14.0,13,13,0.0,49,,46.0,5.0,91633.0,242.558,alonso,14.0,Spanish,alpine,French,2021,21,Saudi Arabian Grand Prix,63000000.0,jeddah,Jeddah,Saudi Arabia,21.6319,39.1044,15.0,+1 Lap,0.0,149.0,5.0,1.0,88944.0,88920.0,88920.0,43,40,Clear,1,0,0,0,0,Street circuit,Anti-clockwise,6.174,50.0,308.45,88920.0,88944.0,88928.0,25,15,265,1,0,1,1,0,3,1,3,3,2,1,0,1,0,0,1,1,1,322.0,89.0,94.0,86.0,89.0 +77.0,2,3,15.0,50,7602649.0,47.0,2.0,91408.0,243.155,bottas,77.0,Finnish,mercedes,German,2021,21,Saudi Arabian Grand Prix,63000000.0,jeddah,Jeddah,Saudi Arabia,21.6319,39.1044,15.0,Finished,1.0,587.5,1.0,9.0,88057.0,88054.0,87622.0,35,32,Clear,1,0,0,0,0,Street circuit,Anti-clockwise,6.174,50.0,308.45,87622.0,88057.0,87911.0,24,8,178,10,1,8,1,1,1,0,0,0,0,0,2,0,0,1,1,0,1,207.0,89.0,99.0,92.0,92.0 +10.0,6,6,8.0,50,7616731.0,46.0,9.0,92297.0,240.813,gasly,10.0,French,alphatauri,Italian,2021,21,Saudi Arabian Grand Prix,63000000.0,jeddah,Jeddah,Saudi Arabia,21.6319,39.1044,15.0,Finished,0.0,120.0,6.0,0.0,88401.0,88314.0,88125.0,28,25,Clear,1,0,0,0,0,Street circuit,Anti-clockwise,6.174,50.0,308.45,88125.0,88401.0,88280.0,21,4,85,1,0,1,2,1,3,3,0,1,2,2,0,1,0,0,0,1,0,130.0,92.0,99.0,89.0,90.0 +99.0,10,9,2.0,50,7633623.0,37.0,15.0,92865.0,239.34,giovinazzi,99.0,Italian,alfa,Swiss,2021,21,Saudi Arabian Grand Prix,63000000.0,jeddah,Jeddah,Saudi Arabia,21.6319,39.1044,15.0,Finished,0.0,13.0,9.0,0.0,88899.0,88616.0,88754.0,31,28,Clear,1,0,0,0,0,Street circuit,Anti-clockwise,6.174,50.0,308.45,88616.0,88899.0,88756.33333333333,24,4,61,0,0,0,0,0,0,0,0,0,1,4,2,4,4,4,1,0,0,106.0,82.0,82.0,80.0,79.0 +44.0,1,1,26.0,50,7575118.0,47.0,1.0,90734.0,244.962,hamilton,44.0,British,mercedes,German,2021,21,Saudi Arabian Grand Prix,63000000.0,jeddah,Jeddah,Saudi Arabia,21.6319,39.1044,15.0,Finished,7.0,587.5,1.0,9.0,88466.0,87712.0,87511.0,39,36,Clear,1,0,0,0,0,Street circuit,Anti-clockwise,6.174,50.0,308.45,87511.0,88466.0,87896.33333333333,22,14,287,15,7,1,1,1,0,1,0,0,0,0,0,0,0,1,0,1,0,288.0,94.0,89.0,98.0,95.0 +6.0,16,12,0.0,50,7658367.0,49.0,12.0,92751.0,239.635,latifi,6.0,Canadian,williams,British,2021,21,Saudi Arabian Grand Prix,63000000.0,jeddah,Jeddah,Saudi Arabia,21.6319,39.1044,15.0,Finished,0.0,23.0,8.0,0.0,89177.0,89177.0,89177.0,29,26,Clear,1,0,0,0,0,Street circuit,Anti-clockwise,6.174,50.0,308.45,89177.0,89177.0,89177.0,25,1,38,0,0,0,0,0,0,1,0,1,0,1,0,0,1,2,5,3,3,111.0,69.0,79.0,70.0,71.0 +16.0,4,7,6.0,50,7619593.0,46.0,4.0,91601.0,242.643,leclerc,16.0,Monegasque,ferrari,Italian,2021,21,Saudi Arabian Grand Prix,63000000.0,jeddah,Jeddah,Saudi Arabia,21.6319,39.1044,15.0,Finished,0.0,307.5,3.0,0.0,88310.0,88459.0,88054.0,27,24,Clear,1,0,0,0,0,Street circuit,Anti-clockwise,6.174,50.0,308.45,88054.0,88459.0,88274.33333333333,21,3,80,1,1,0,6,3,2,1,3,0,0,0,0,0,0,1,1,0,1,145.0,88.0,87.0,92.0,88.0 +33.0,3,2,18.0,50,7586943.0,35.0,3.0,91488.0,242.943,max_verstappen,33.0,Dutch,red_bull,Austrian,2021,21,Saudi Arabian Grand Prix,63000000.0,jeddah,Jeddah,Saudi Arabia,21.6319,39.1044,15.0,Finished,9.0,559.5,2.0,10.0,88285.0,87953.0,87653.0,27,24,Clear,1,0,0,0,0,Street circuit,Anti-clockwise,6.174,50.0,308.45,87653.0,88285.0,87963.66666666667,18,6,140,16,7,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,2,178.0,96.0,96.0,97.0,95.0 +4.0,7,10,1.0,50,7636476.0,49.0,8.0,91914.0,241.817,norris,4.0,British,mclaren,British,2021,21,Saudi Arabian Grand Prix,63000000.0,jeddah,Jeddah,Saudi Arabia,21.6319,39.1044,15.0,Finished,0.0,269.0,4.0,1.0,88338.0,88344.0,88180.0,25,22,Clear,1,0,0,0,0,Street circuit,Anti-clockwise,6.174,50.0,308.45,88180.0,88344.0,88287.33333333333,20,2,59,4,1,3,2,4,0,2,2,1,3,0,0,0,1,1,0,0,0,135.0,96.0,99.0,89.0,91.0 +31.0,9,4,12.0,50,7602751.0,47.0,6.0,91797.0,242.125,ocon,31.0,French,alpine,French,2021,21,Saudi Arabian Grand Prix,63000000.0,jeddah,Jeddah,Saudi Arabia,21.6319,39.1044,15.0,Finished,1.0,149.0,5.0,1.0,88752.0,88574.0,88647.0,28,25,Clear,1,0,0,0,0,Street circuit,Anti-clockwise,6.174,50.0,308.45,88574.0,88752.0,88657.66666666667,20,5,88,1,0,0,0,1,0,2,1,5,2,0,0,2,3,0,0,0,0,135.0,93.0,98.0,79.0,86.0 +7.0,12,15,0.0,49,,45.0,13.0,92778.0,239.565,raikkonen,7.0,Finnish,alfa,Swiss,2021,21,Saudi Arabian Grand Prix,63000000.0,jeddah,Jeddah,Saudi Arabia,21.6319,39.1044,15.0,+1 Lap,0.0,13.0,9.0,0.0,88856.0,88885.0,88885.0,45,42,Clear,1,0,0,0,0,Street circuit,Anti-clockwise,6.174,50.0,308.45,88856.0,88885.0,88875.33333333333,27,15,264,0,0,0,0,0,0,0,2,0,2,3,3,2,1,2,0,1,1,322.0,91.0,84.0,86.0,87.0 +3.0,11,5,10.0,50,7615239.0,43.0,11.0,92716.0,239.725,ricciardo,3.0,Australian,mclaren,British,2021,21,Saudi Arabian Grand Prix,63000000.0,jeddah,Jeddah,Saudi Arabia,21.6319,39.1044,15.0,Finished,1.0,269.0,4.0,1.0,88216.0,88668.0,88668.0,35,32,Clear,1,0,0,0,0,Street circuit,Anti-clockwise,6.174,50.0,308.45,88216.0,88668.0,88517.33333333333,22,10,209,1,0,0,2,2,3,2,0,2,0,2,3,2,0,0,0,0,0,231.0,94.0,91.0,88.0,90.0 +55.0,15,8,4.0,50,7621724.0,37.0,7.0,91851.0,241.983,sainz,55.0,Spanish,ferrari,Italian,2021,21,Saudi Arabian Grand Prix,63000000.0,jeddah,Jeddah,Saudi Arabia,21.6319,39.1044,15.0,Finished,0.0,307.5,3.0,0.0,88237.0,113652.0,113652.0,30,27,Clear,1,0,0,0,0,Street circuit,Anti-clockwise,6.174,50.0,308.45,88237.0,113652.0,105180.33333333331,21,6,140,3,1,2,0,2,5,4,3,0,1,2,0,0,0,0,0,0,0,178.0,88.0,94.0,85.0,87.0 +18.0,18,11,0.0,50,7652330.0,45.0,14.0,92804.0,239.498,stroll,18.0,Canadian,aston_martin,British,2021,21,Saudi Arabian Grand Prix,63000000.0,jeddah,Jeddah,Saudi Arabia,21.6319,39.1044,15.0,Finished,0.0,77.0,7.0,0.0,89368.0,89368.0,89368.0,26,23,Clear,1,0,0,0,0,Street circuit,Anti-clockwise,6.174,50.0,308.45,89368.0,89368.0,89368.0,19,4,99,0,0,0,0,0,1,1,4,1,2,2,2,1,2,0,0,0,0,145.0,93.0,82.0,82.0,83.0 +22.0,8,14,0.0,49,,44.0,10.0,92506.0,240.269,tsunoda,22.0,Japanese,alphatauri,Italian,2021,21,Saudi Arabian Grand Prix,63000000.0,jeddah,Jeddah,Saudi Arabia,21.6319,39.1044,15.0,+1 Lap,0.0,120.0,6.0,0.0,88503.0,88222.0,88442.0,24,21,Clear,1,0,0,0,0,Street circuit,Anti-clockwise,6.174,50.0,308.45,88222.0,88503.0,88389.0,21,0,21,0,0,0,0,0,1,1,0,2,2,0,2,2,1,3,1,1,0,68.0,88.0,78.0,86.0,82.0 +14.0,11,8,4.0,58,5479053.0,58.0,8.0,87607.0,217.01,alonso,14.0,Spanish,alpine,French,2021,22,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,155.0,5.0,1.0,83846.0,83460.0,83460.0,43,40,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,83460.0,83846.0,83588.66666666667,25,15,266,1,0,1,1,0,3,1,3,3,2,1,0,2,0,0,1,1,1,322.0,89.0,94.0,86.0,89.0 +77.0,6,6,8.0,58,5424808.0,51.0,5.0,86862.0,218.871,bottas,77.0,Finnish,mercedes,German,2021,22,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,1.0,613.5,1.0,9.0,83117.0,83246.0,83036.0,35,32,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,83036.0,83246.0,83133.0,24,8,179,11,1,9,1,1,1,0,0,0,0,0,2,0,0,1,1,0,1,207.0,89.0,99.0,92.0,92.0 +10.0,12,5,10.0,58,5423876.0,49.0,6.0,87342.0,217.668,gasly,10.0,French,alphatauri,Italian,2021,22,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,142.0,6.0,0.0,83489.0,84043.0,84043.0,28,25,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,83489.0,84043.0,83858.33333333333,21,4,86,1,0,1,2,1,4,3,0,1,2,2,0,1,0,0,0,1,0,130.0,92.0,99.0,89.0,90.0 +44.0,2,2,18.0,58,5419601.0,43.0,3.0,86615.0,219.495,hamilton,44.0,British,mercedes,German,2021,22,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,8.0,613.5,1.0,9.0,82845.0,83145.0,82480.0,39,36,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,82480.0,83145.0,82823.33333333333,22,14,288,16,7,1,1,1,0,1,0,0,0,0,0,0,0,1,0,1,0,288.0,94.0,89.0,98.0,95.0 +16.0,7,10,1.0,58,5483402.0,40.0,12.0,88433.0,214.983,leclerc,16.0,Monegasque,ferrari,Italian,2021,22,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,323.5,3.0,0.0,83467.0,83202.0,83122.0,27,24,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,83122.0,83467.0,83263.66666666667,21,3,81,1,1,0,6,3,2,2,3,0,0,0,0,0,0,1,1,0,1,145.0,88.0,87.0,92.0,88.0 +33.0,1,1,26.0,58,5417345.0,39.0,1.0,86103.0,220.8,max_verstappen,33.0,Dutch,red_bull,Austrian,2021,22,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,9.0,585.5,2.0,11.0,83322.0,82800.0,82109.0,27,24,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,82109.0,83322.0,82743.66666666667,18,6,141,17,8,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,2,178.0,96.0,96.0,97.0,95.0 +47.0,19,14,0.0,57,,42.0,17.0,89457.0,212.522,mick_schumacher,47.0,German,haas,American,2021,22,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,0.0,10.0,0.0,84906.0,84906.0,84906.0,25,22,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,84906.0,84906.0,84906.0,22,0,22,0,0,0,0,0,0,0,0,0,0,0,1,1,0,1,6,1,6,73.0,65.0,81.0,83.0,76.0 +4.0,3,7,6.0,58,5476545.0,58.0,4.0,86762.0,219.123,norris,4.0,British,mclaren,British,2021,22,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,275.0,4.0,1.0,83553.0,83256.0,82931.0,25,22,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,82931.0,83553.0,83246.66666666667,20,2,60,4,1,3,2,4,0,2,2,1,4,0,0,0,1,1,0,0,0,135.0,96.0,99.0,89.0,91.0 +31.0,9,9,2.0,58,5481371.0,58.0,10.0,88249.0,215.431,ocon,31.0,French,alpine,French,2021,22,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,1.0,155.0,5.0,1.0,83764.0,83420.0,83389.0,28,25,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,83389.0,83764.0,83524.33333333333,20,5,89,1,0,0,1,1,0,2,1,5,2,0,0,2,3,0,0,0,0,135.0,93.0,98.0,79.0,86.0 +3.0,10,12,0.0,57,,48.0,14.0,88723.0,214.28,ricciardo,3.0,Australian,mclaren,British,2021,22,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,1.0,275.0,4.0,1.0,83829.0,83448.0,83409.0,35,32,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,83409.0,83829.0,83562.0,22,10,210,1,0,0,2,3,3,2,0,2,0,2,3,2,0,0,0,0,0,231.0,94.0,91.0,88.0,90.0 +55.0,5,3,15.0,58,5422518.0,51.0,9.0,87618.0,216.982,sainz,55.0,Spanish,ferrari,Italian,2021,22,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,323.5,3.0,0.0,83624.0,83174.0,82992.0,30,27,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,82992.0,83624.0,83263.33333333333,21,6,141,3,1,2,0,2,5,4,4,0,1,2,0,0,0,0,0,0,0,178.0,88.0,94.0,85.0,87.0 +18.0,13,13,0.0,57,,48.0,13.0,88567.0,214.657,stroll,18.0,Canadian,aston_martin,British,2021,22,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,77.0,7.0,0.0,84061.0,84066.0,84066.0,26,23,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,84061.0,84066.0,84064.33333333333,19,4,100,0,0,0,0,0,1,1,4,1,2,3,2,1,2,0,0,0,0,145.0,93.0,82.0,82.0,83.0 +22.0,8,4,12.0,58,5423037.0,50.0,7.0,87496.0,217.285,tsunoda,22.0,Japanese,alphatauri,Italian,2021,22,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,142.0,6.0,0.0,83428.0,83404.0,83220.0,24,21,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,83220.0,83428.0,83350.66666666667,21,0,22,0,0,0,0,0,1,1,0,2,2,0,2,2,2,3,1,1,0,68.0,88.0,78.0,86.0,82.0 +5.0,15,11,0.0,58,5484872.0,58.0,11.0,88303.0,215.299,vettel,5.0,German,aston_martin,British,2021,22,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,77.0,7.0,0.0,84225.0,84305.0,84305.0,37,34,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,84225.0,84305.0,84278.33333333333,20,14,280,1,1,0,0,2,0,1,0,1,2,1,3,3,0,2,1,1,1,284.0,93.0,87.0,88.0,89.0 +23.0,14,13,0.0,57,5907516.0,50.0,18.0,97355.0,200.125,albon,23.0,Thai,williams,British,2022,1,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,0.0,8.0,0.0,92726.0,92664.0,92664.0,28,26,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,92664.0,92726.0,92684.66666666669,23,3,39,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,130.0,90.0,76.0,81.0,82.0 +14.0,8,9,2.0,57,5875974.0,44.0,10.0,96733.0,201.412,alonso,14.0,Spanish,alpine,French,2022,1,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,8.0,5.0,0.0,92346.0,91621.0,92195.0,43,41,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,91621.0,92346.0,92054.0,25,16,267,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,317.0,88.0,78.0,89.0,89.0 +77.0,6,6,8.0,57,5869703.0,53.0,7.0,96599.0,201.691,bottas,77.0,Finnish,alfa,Swiss,2022,1,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,9.0,4.0,0.0,91919.0,91717.0,91560.0,35,33,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,91560.0,91919.0,91732.0,24,9,180,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,217.0,84.0,93.0,90.0,88.0 +44.0,5,3,15.0,57,5863259.0,53.0,5.0,96228.0,202.469,hamilton,44.0,British,mercedes,German,2022,1,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,27.0,2.0,0.0,92285.0,91048.0,91238.0,39,37,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,91048.0,92285.0,91523.66666666669,22,15,289,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,293.0,96.0,92.0,93.0,94.0 +27.0,17,17,0.0,57,5917413.0,49.0,19.0,98201.0,198.401,hulkenberg,27.0,German,aston_martin,British,2022,1,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,0.0,7.0,0.0,92777.0,92777.0,92777.0,37,35,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,92777.0,92777.0,92777.0,23,12,183,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,183.0,90.0,89.0,91.0,90.0 +20.0,7,5,10.0,57,5868338.0,53.0,8.0,96623.0,201.641,kevin_magnussen,20.0,Danish,haas,American,2022,1,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,10.0,3.0,0.0,91955.0,91461.0,91808.0,32,30,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,91461.0,91955.0,91741.33333333331,22,8,121,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,173.0,82.0,84.0,82.0,81.0 +6.0,20,16,0.0,57,5915379.0,51.0,20.0,98251.0,198.3,latifi,6.0,Canadian,williams,British,2022,1,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,0.0,8.0,0.0,93634.0,93634.0,93634.0,29,27,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,93634.0,93634.0,93634.0,25,2,40,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,135.0,80.0,76.0,66.0,70.0 +16.0,1,1,26.0,57,5853584.0,51.0,1.0,94570.0,206.018,leclerc,16.0,Monegasque,ferrari,Italian,2022,1,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,44.0,1.0,1.0,91471.0,90932.0,90558.0,27,25,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,90558.0,91471.0,90987.0,21,4,82,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,159.0,94.0,91.0,95.0,92.0 +47.0,12,11,0.0,57,5886158.0,37.0,11.0,96956.0,200.948,mick_schumacher,47.0,German,haas,American,2022,1,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,10.0,3.0,0.0,92380.0,91998.0,91998.0,25,23,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,91998.0,92380.0,92125.33333333331,22,1,23,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,116.0,79.0,80.0,79.0,77.0 +4.0,13,15,0.0,57,5909919.0,51.0,12.0,96988.0,200.882,norris,4.0,British,mclaren,British,2022,1,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,0.0,9.0,0.0,92239.0,92008.0,92008.0,25,23,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,92008.0,92239.0,92085.0,20,3,61,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,154.0,94.0,82.0,92.0,90.0 +31.0,11,7,6.0,57,5873007.0,53.0,14.0,97110.0,200.63,ocon,31.0,French,alpine,French,2022,1,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,8.0,5.0,0.0,92041.0,91782.0,91782.0,28,26,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,91782.0,92041.0,91868.33333333331,20,6,90,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,150.0,90.0,76.0,82.0,83.0 +3.0,18,14,0.0,57,5908559.0,50.0,16.0,97261.0,200.318,ricciardo,3.0,Australian,mclaren,British,2022,1,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,0.0,9.0,0.0,92945.0,92945.0,92945.0,35,33,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,92945.0,92945.0,92945.0,22,11,211,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,241.0,88.0,93.0,80.0,83.0 +63.0,9,4,12.0,57,5864795.0,56.0,6.0,96302.0,202.313,russell,63.0,British,mercedes,German,2022,1,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,27.0,2.0,0.0,92269.0,91252.0,92216.0,26,24,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,91252.0,92269.0,91912.33333333331,21,3,61,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,154.0,90.0,86.0,93.0,90.0 +55.0,3,2,18.0,57,5859182.0,52.0,3.0,95740.0,203.501,sainz,55.0,Spanish,ferrari,Italian,2022,1,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,44.0,1.0,1.0,91567.0,90787.0,90687.0,30,28,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,90687.0,91567.0,91013.66666666669,21,7,142,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,193.0,89.0,89.0,87.0,87.0 +18.0,19,12,0.0,57,5899457.0,49.0,15.0,97146.0,200.555,stroll,18.0,Canadian,aston_martin,British,2022,1,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,0.0,7.0,0.0,93032.0,93032.0,93032.0,26,24,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,93032.0,93032.0,93032.0,19,5,101,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,159.0,89.0,76.0,77.0,80.0 +22.0,16,8,4.0,57,5873970.0,53.0,13.0,97104.0,200.642,tsunoda,22.0,Japanese,alphatauri,Italian,2022,1,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,4.0,6.0,0.0,92750.0,92750.0,92750.0,24,22,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,92750.0,92750.0,92750.0,21,1,23,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,111.0,76.0,74.0,83.0,78.0 +24.0,15,10,1.0,57,5876648.0,39.0,9.0,96685.0,201.512,zhou,24.0,Chinese,alfa,Swiss,2022,1,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,9.0,4.0,0.0,92493.0,93543.0,93543.0,25,23,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,92493.0,93543.0,93193.0,23,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,73.0,80.0,73.0,67.0,70.0 +10.0,9,8,4.0,50,5122239.0,42.0,10.0,93468.0,237.796,gasly,10.0,French,alphatauri,Italian,2022,2,Saudi Arabian Grand Prix,61200000.0,jeddah,Jeddah,Saudi Arabia,21.6319,39.1044,15.0,Finished,0.0,8.0,7.0,0.0,89891.0,89418.0,89254.0,28,26,Clear,1,0,0,0,0,Street circuit,Anti-clockwise,6.174,50.0,308.45,89254.0,89891.0,89521.0,21,5,88,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,145.0,90.0,79.0,84.0,84.0 +44.0,15,10,1.0,50,5133241.0,47.0,8.0,92997.0,239.001,hamilton,44.0,British,mercedes,German,2022,2,Saudi Arabian Grand Prix,61200000.0,jeddah,Jeddah,Saudi Arabia,21.6319,39.1044,15.0,Finished,0.0,38.0,2.0,0.0,90343.0,90343.0,90343.0,39,37,Clear,1,0,0,0,0,Street circuit,Anti-clockwise,6.174,50.0,308.45,90343.0,90343.0,90343.0,22,15,290,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,293.0,96.0,92.0,93.0,94.0 +27.0,17,12,0.0,50,5151035.0,47.0,11.0,93651.0,237.332,hulkenberg,27.0,German,aston_martin,British,2022,2,Saudi Arabian Grand Prix,61200000.0,jeddah,Jeddah,Saudi Arabia,21.6319,39.1044,15.0,Finished,0.0,0.0,9.0,0.0,90543.0,90543.0,90543.0,37,35,Clear,1,0,0,0,0,Street circuit,Anti-clockwise,6.174,50.0,308.45,90543.0,90543.0,90543.0,23,12,184,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,183.0,90.0,89.0,91.0,90.0 +20.0,10,9,2.0,50,5123601.0,48.0,6.0,92779.0,239.562,kevin_magnussen,20.0,Danish,haas,American,2022,2,Saudi Arabian Grand Prix,61200000.0,jeddah,Jeddah,Saudi Arabia,21.6319,39.1044,15.0,Finished,0.0,12.0,5.0,0.0,89831.0,89546.0,89588.0,32,30,Clear,1,0,0,0,0,Street circuit,Anti-clockwise,6.174,50.0,308.45,89546.0,89831.0,89655.0,22,8,122,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,173.0,82.0,84.0,82.0,81.0 +16.0,2,2,19.0,50,5059842.0,48.0,1.0,91634.0,242.556,leclerc,16.0,Monegasque,ferrari,Italian,2022,2,Saudi Arabian Grand Prix,61200000.0,jeddah,Jeddah,Saudi Arabia,21.6319,39.1044,15.0,Finished,1.0,78.0,1.0,1.0,89039.0,88780.0,88225.0,27,25,Clear,1,0,0,0,0,Street circuit,Anti-clockwise,6.174,50.0,308.45,88225.0,89039.0,88681.33333333333,21,4,83,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,159.0,94.0,91.0,95.0,92.0 +1.0,4,1,25.0,50,5059293.0,50.0,2.0,91772.0,242.191,max_verstappen,33.0,Dutch,red_bull,Austrian,2022,2,Saudi Arabian Grand Prix,61200000.0,jeddah,Jeddah,Saudi Arabia,21.6319,39.1044,15.0,Finished,0.0,37.0,3.0,1.0,88928.0,88945.0,88461.0,27,25,Clear,1,0,0,0,0,Street circuit,Anti-clockwise,6.174,50.0,308.45,88461.0,88945.0,88778.0,18,7,143,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,193.0,98.0,79.0,97.0,94.0 +4.0,11,7,6.0,50,5115417.0,46.0,5.0,92753.0,239.629,norris,4.0,British,mclaren,British,2022,2,Saudi Arabian Grand Prix,61200000.0,jeddah,Jeddah,Saudi Arabia,21.6319,39.1044,15.0,Finished,0.0,6.0,8.0,0.0,89957.0,89651.0,89651.0,25,23,Clear,1,0,0,0,0,Street circuit,Anti-clockwise,6.174,50.0,308.45,89651.0,89957.0,89753.0,20,3,62,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,154.0,94.0,82.0,92.0,90.0 +31.0,5,6,8.0,50,5115310.0,46.0,9.0,93103.0,238.729,ocon,31.0,French,alpine,French,2022,2,Saudi Arabian Grand Prix,61200000.0,jeddah,Jeddah,Saudi Arabia,21.6319,39.1044,15.0,Finished,0.0,16.0,4.0,0.0,90093.0,89584.0,89068.0,28,26,Clear,1,0,0,0,0,Street circuit,Anti-clockwise,6.174,50.0,308.45,89068.0,90093.0,89581.66666666667,20,6,91,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,150.0,90.0,76.0,82.0,83.0 +11.0,1,4,12.0,50,5070093.0,46.0,4.0,92042.0,241.481,perez,11.0,Mexican,red_bull,Austrian,2022,2,Saudi Arabian Grand Prix,61200000.0,jeddah,Jeddah,Saudi Arabia,21.6319,39.1044,15.0,Finished,0.0,37.0,3.0,1.0,89705.0,88924.0,88200.0,34,32,Clear,1,0,0,0,0,Street circuit,Anti-clockwise,6.174,50.0,308.45,88200.0,89705.0,88943.0,21,11,217,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,245.0,89.0,85.0,89.0,88.0 +63.0,6,5,10.0,50,5092025.0,43.0,7.0,92821.0,239.454,russell,63.0,British,mercedes,German,2022,2,Saudi Arabian Grand Prix,61200000.0,jeddah,Jeddah,Saudi Arabia,21.6319,39.1044,15.0,Finished,0.0,38.0,2.0,0.0,89680.0,89618.0,89104.0,26,24,Clear,1,0,0,0,0,Street circuit,Anti-clockwise,6.174,50.0,308.45,89104.0,89680.0,89467.33333333333,21,3,62,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,154.0,90.0,86.0,93.0,90.0 +55.0,3,3,15.0,50,5067390.0,48.0,3.0,91905.0,241.841,sainz,55.0,Spanish,ferrari,Italian,2022,2,Saudi Arabian Grand Prix,61200000.0,jeddah,Jeddah,Saudi Arabia,21.6319,39.1044,15.0,Finished,0.0,78.0,1.0,1.0,88855.0,88686.0,88402.0,30,28,Clear,1,0,0,0,0,Street circuit,Anti-clockwise,6.174,50.0,308.45,88402.0,88855.0,88647.66666666667,21,7,143,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,193.0,89.0,89.0,87.0,87.0 +18.0,13,13,0.0,49,,46.0,16.0,94446.0,235.334,stroll,18.0,Canadian,aston_martin,British,2022,2,Saudi Arabian Grand Prix,61200000.0,jeddah,Jeddah,Saudi Arabia,21.6319,39.1044,15.0,+1 Lap,0.0,0.0,9.0,0.0,90256.0,91009.0,91009.0,26,24,Clear,1,0,0,0,0,Street circuit,Anti-clockwise,6.174,50.0,308.45,90256.0,91009.0,90758.0,19,5,102,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,159.0,89.0,76.0,77.0,80.0 +24.0,12,11,0.0,50,5141508.0,45.0,13.0,93924.0,236.642,zhou,24.0,Chinese,alfa,Swiss,2022,2,Saudi Arabian Grand Prix,61200000.0,jeddah,Jeddah,Saudi Arabia,21.6319,39.1044,15.0,Finished,0.0,9.0,6.0,0.0,89978.0,89819.0,89819.0,25,23,Clear,1,0,0,0,0,Street circuit,Anti-clockwise,6.174,50.0,308.45,89819.0,89978.0,89872.0,23,0,2,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,73.0,80.0,73.0,67.0,70.0 +23.0,20,10,1.0,58,5345930.0,54.0,12.0,82589.0,230.064,albon,23.0,Thai,williams,British,2022,3,Australian Grand Prix,18000000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,1.0,9.0,0.0,80135.0,80135.0,80135.0,28,26,Partly cloudy,0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,80135.0,80135.0,80135.0,23,3,41,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,130.0,90.0,76.0,81.0,82.0 +14.0,10,17,0.0,57,,57.0,2.0,80846.0,235.024,alonso,14.0,Spanish,alpine,French,2022,3,Australian Grand Prix,18000000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+1 Lap,0.0,22.0,5.0,0.0,79192.0,78815.0,78815.0,43,41,Partly cloudy,0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,78815.0,79192.0,78940.66666666667,25,16,269,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,317.0,88.0,78.0,89.0,89.0 +77.0,12,8,4.0,58,5334987.0,54.0,5.0,81651.0,232.707,bottas,77.0,Finnish,alfa,Swiss,2022,3,Australian Grand Prix,18000000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,13.0,6.0,0.0,79251.0,79410.0,79410.0,35,33,Partly cloudy,0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,79251.0,79410.0,79357.0,24,9,182,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,217.0,84.0,93.0,90.0,88.0 +10.0,11,9,2.0,58,5342769.0,52.0,13.0,82731.0,229.669,gasly,10.0,French,alphatauri,Italian,2022,3,Australian Grand Prix,18000000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,10.0,8.0,0.0,79580.0,79226.0,79226.0,28,26,Partly cloudy,0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,79226.0,79580.0,79344.0,21,5,89,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,145.0,90.0,79.0,84.0,84.0 +44.0,5,4,12.0,58,5295091.0,51.0,7.0,81886.0,232.039,hamilton,44.0,British,mercedes,German,2022,3,Australian Grand Prix,18000000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,65.0,2.0,0.0,79401.0,79106.0,78825.0,39,37,Partly cloudy,0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,78825.0,79401.0,79110.66666666667,22,15,291,1,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,293.0,96.0,92.0,93.0,94.0 +20.0,16,14,0.0,57,,44.0,15.0,83071.0,228.729,kevin_magnussen,20.0,Danish,haas,American,2022,3,Australian Grand Prix,18000000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+1 Lap,0.0,12.0,7.0,0.0,80254.0,80254.0,80254.0,32,30,Partly cloudy,0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,80254.0,80254.0,80254.0,22,8,123,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,173.0,82.0,84.0,82.0,81.0 +6.0,18,16,0.0,57,,49.0,18.0,83882.0,226.518,latifi,6.0,Canadian,williams,British,2022,3,Australian Grand Prix,18000000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+1 Lap,0.0,1.0,9.0,0.0,81372.0,81372.0,81372.0,29,27,Partly cloudy,0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,81372.0,81372.0,81372.0,25,2,42,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,135.0,80.0,76.0,66.0,70.0 +16.0,1,1,26.0,58,5266548.0,58.0,1.0,80260.0,236.74,leclerc,16.0,Monegasque,ferrari,Italian,2022,3,Australian Grand Prix,18000000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,1.0,104.0,1.0,2.0,78881.0,78606.0,77868.0,27,25,Partly cloudy,0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,77868.0,78881.0,78451.66666666667,21,4,84,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,159.0,94.0,91.0,95.0,92.0 +47.0,15,13,0.0,57,,55.0,14.0,83006.0,228.908,mick_schumacher,47.0,German,haas,American,2022,3,Australian Grand Prix,18000000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+1 Lap,0.0,12.0,7.0,0.0,80104.0,80465.0,80465.0,25,23,Partly cloudy,0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,80104.0,80465.0,80344.66666666667,22,1,25,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,116.0,79.0,80.0,79.0,77.0 +4.0,4,5,10.0,58,5319851.0,55.0,8.0,82248.0,231.018,norris,4.0,British,mclaren,British,2022,3,Australian Grand Prix,18000000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,24.0,4.0,0.0,79280.0,79066.0,78703.0,25,23,Partly cloudy,0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,78703.0,79280.0,79016.33333333333,20,3,63,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,154.0,94.0,82.0,92.0,90.0 +31.0,8,7,6.0,58,5328231.0,58.0,10.0,82469.0,230.399,ocon,31.0,French,alpine,French,2022,3,Australian Grand Prix,18000000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,22.0,5.0,0.0,79605.0,79136.0,79061.0,28,26,Partly cloudy,0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,79061.0,79605.0,79267.33333333333,20,6,92,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,150.0,90.0,76.0,82.0,83.0 +11.0,3,2,18.0,58,5287072.0,58.0,3.0,81094.0,234.305,perez,11.0,Mexican,red_bull,Austrian,2022,3,Australian Grand Prix,18000000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,55.0,3.0,1.0,78834.0,78340.0,78240.0,34,32,Partly cloudy,0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,78240.0,78834.0,78471.33333333333,21,11,218,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,245.0,89.0,85.0,89.0,88.0 +3.0,7,6,8.0,58,5320285.0,54.0,9.0,82451.0,230.449,ricciardo,3.0,Australian,mclaren,British,2022,3,Australian Grand Prix,18000000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,24.0,4.0,0.0,79665.0,79130.0,79032.0,35,33,Partly cloudy,0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,79032.0,79665.0,79275.66666666667,22,11,213,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,241.0,88.0,93.0,80.0,83.0 +63.0,6,3,15.0,58,5292141.0,53.0,4.0,81495.0,233.152,russell,63.0,British,mercedes,German,2022,3,Australian Grand Prix,18000000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,65.0,2.0,0.0,79405.0,79076.0,78933.0,26,24,Partly cloudy,0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,78933.0,79405.0,79138.0,21,3,63,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,154.0,90.0,86.0,93.0,90.0 +18.0,19,12,0.0,58,5355146.0,48.0,17.0,83592.0,227.304,stroll,18.0,Canadian,aston_martin,British,2022,3,Australian Grand Prix,18000000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,0.0,10.0,0.0,81372.0,81372.0,81372.0,26,24,Partly cloudy,0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,81372.0,81372.0,81372.0,19,5,103,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,159.0,89.0,76.0,77.0,80.0 +22.0,13,15,0.0,57,,56.0,16.0,83342.0,227.985,tsunoda,22.0,Japanese,alphatauri,Italian,2022,3,Australian Grand Prix,18000000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,+1 Lap,0.0,10.0,8.0,0.0,79742.0,79424.0,79424.0,24,22,Partly cloudy,0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,79424.0,79742.0,79530.0,21,1,25,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,111.0,76.0,74.0,83.0,78.0 +24.0,14,11,0.0,58,5348243.0,55.0,11.0,82541.0,230.198,zhou,24.0,Chinese,alfa,Swiss,2022,3,Australian Grand Prix,18000000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,13.0,6.0,0.0,79910.0,80155.0,80155.0,25,23,Partly cloudy,0,0,0,0,1,Street circuit,Clockwise,5.278,58.0,306.124,79910.0,80155.0,80073.33333333333,23,0,3,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,73.0,80.0,73.0,67.0,70.0 +23.0,18,11,0.0,62,,61.0,17.0,81757.0,216.157,albon,23.0,Thai,williams,British,2022,4,Emilia Romagna Grand Prix,46800000.0,imola,Imola,Italy,44.3439,11.7167,37.0,+1 Lap,0.0,1.0,10.0,0.0,82338.0,82338.0,82338.0,28,26,Cloudy in a wet and drying track[2],0,0,1,1,1,Race circuit,Anti-clockwise,4.909,63.0,309.049,82338.0,82338.0,82338.0,23,3,42,0,0,0,0,0,0,0,0,0,1,0,0,1,1,0,0,0,0,130.0,90.0,76.0,81.0,82.0 +77.0,7,5,10.0,63,5571167.0,43.0,6.0,80758.0,218.831,bottas,77.0,Finnish,alfa,Swiss,2022,4,Emilia Romagna Grand Prix,46800000.0,imola,Imola,Italy,44.3439,11.7167,37.0,Finished,0.0,25.0,5.0,0.0,80419.0,80192.0,90439.0,35,33,Cloudy in a wet and drying track[2],0,0,1,1,1,Race circuit,Anti-clockwise,4.909,63.0,309.049,80192.0,90439.0,83683.33333333333,24,9,183,0,0,0,0,0,1,0,1,0,0,0,0,0,0,1,0,0,0,217.0,84.0,93.0,90.0,88.0 +10.0,17,12,0.0,62,,34.0,15.0,81713.0,216.274,gasly,10.0,French,alphatauri,Italian,2022,4,Emilia Romagna Grand Prix,46800000.0,imola,Imola,Italy,44.3439,11.7167,37.0,+1 Lap,0.0,16.0,7.0,0.0,80732.0,80732.0,80732.0,28,26,Cloudy in a wet and drying track[2],0,0,1,1,1,Race circuit,Anti-clockwise,4.909,63.0,309.049,80732.0,80732.0,80732.0,21,5,90,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,145.0,90.0,79.0,84.0,84.0 +44.0,14,13,0.0,62,,50.0,13.0,81419.0,217.054,hamilton,44.0,British,mercedes,German,2022,4,Emilia Romagna Grand Prix,46800000.0,imola,Imola,Italy,44.3439,11.7167,37.0,+1 Lap,0.0,77.0,3.0,0.0,80470.0,81138.0,81138.0,39,37,Cloudy in a wet and drying track[2],0,0,1,1,1,Race circuit,Anti-clockwise,4.909,63.0,309.049,80470.0,81138.0,80915.33333333333,22,15,292,1,0,1,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,293.0,96.0,92.0,93.0,94.0 +20.0,8,9,2.0,63,5603246.0,61.0,10.0,81238.0,217.538,kevin_magnussen,20.0,Danish,haas,American,2022,4,Emilia Romagna Grand Prix,46800000.0,imola,Imola,Italy,44.3439,11.7167,37.0,Finished,0.0,15.0,8.0,0.0,80147.0,79902.0,89164.0,32,30,Cloudy in a wet and drying track[2],0,0,1,1,1,Race circuit,Anti-clockwise,4.909,63.0,309.049,79902.0,89164.0,83071.0,22,8,124,0,0,0,0,1,0,0,0,1,0,0,0,0,1,0,0,0,0,173.0,82.0,84.0,82.0,81.0 +6.0,19,16,0.0,62,,62.0,12.0,81338.0,217.271,latifi,6.0,Canadian,williams,British,2022,4,Emilia Romagna Grand Prix,46800000.0,imola,Imola,Italy,44.3439,11.7167,37.0,+1 Lap,0.0,1.0,10.0,0.0,81971.0,81971.0,81971.0,29,27,Cloudy in a wet and drying track[2],0,0,1,1,1,Race circuit,Anti-clockwise,4.909,63.0,309.049,81971.0,81971.0,81971.0,25,2,43,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,1,135.0,80.0,76.0,66.0,70.0 +16.0,2,6,8.0,63,5584058.0,63.0,2.0,78574.0,224.914,leclerc,16.0,Monegasque,ferrari,Italian,2022,4,Emilia Romagna Grand Prix,46800000.0,imola,Imola,Italy,44.3439,11.7167,37.0,Finished,2.0,124.0,1.0,2.0,78796.0,79584.0,88778.0,27,25,Cloudy in a wet and drying track[2],0,0,1,1,1,Race circuit,Anti-clockwise,4.909,63.0,309.049,78796.0,88778.0,82386.0,21,4,85,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,159.0,94.0,91.0,95.0,92.0 +1.0,1,1,26.0,63,5527986.0,55.0,1.0,78446.0,225.281,max_verstappen,33.0,Dutch,red_bull,Austrian,2022,4,Emilia Romagna Grand Prix,46800000.0,imola,Imola,Italy,44.3439,11.7167,37.0,Finished,1.0,113.0,2.0,2.0,79295.0,78793.0,87999.0,27,25,Cloudy in a wet and drying track[2],0,0,1,1,1,Race circuit,Anti-clockwise,4.909,63.0,309.049,78793.0,87999.0,82029.0,18,7,145,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,193.0,98.0,79.0,97.0,94.0 +47.0,10,17,0.0,62,,55.0,4.0,78999.0,223.704,mick_schumacher,47.0,German,haas,American,2022,4,Emilia Romagna Grand Prix,46800000.0,imola,Imola,Italy,44.3439,11.7167,37.0,+1 Lap,0.0,15.0,8.0,0.0,80422.0,80916.0,80916.0,25,23,Cloudy in a wet and drying track[2],0,0,1,1,1,Race circuit,Anti-clockwise,4.909,63.0,309.049,80422.0,80916.0,80751.33333333333,22,1,26,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,116.0,79.0,80.0,79.0,77.0 +4.0,5,3,15.0,63,5562820.0,61.0,7.0,80903.0,218.439,norris,4.0,British,mclaren,British,2022,4,Emilia Romagna Grand Prix,46800000.0,imola,Imola,Italy,44.3439,11.7167,37.0,Finished,0.0,46.0,4.0,0.0,80168.0,79294.0,89131.0,25,23,Cloudy in a wet and drying track[2],0,0,1,1,1,Race circuit,Anti-clockwise,4.909,63.0,309.049,79294.0,89131.0,82864.33333333333,20,3,64,0,0,0,0,1,0,1,0,0,0,0,0,0,0,1,0,0,0,154.0,94.0,82.0,92.0,90.0 +31.0,16,14,0.0,62,,37.0,18.0,81887.0,215.814,ocon,31.0,French,alpine,French,2022,4,Emilia Romagna Grand Prix,46800000.0,imola,Imola,Italy,44.3439,11.7167,37.0,+1 Lap,0.0,22.0,6.0,0.0,82338.0,82338.0,82338.0,28,26,Cloudy in a wet and drying track[2],0,0,1,1,1,Race circuit,Anti-clockwise,4.909,63.0,309.049,82338.0,82338.0,82338.0,20,6,93,0,0,0,0,0,1,2,0,0,0,0,0,0,0,0,0,0,0,150.0,90.0,76.0,82.0,83.0 +11.0,3,2,18.0,63,5544513.0,52.0,3.0,78949.0,223.845,perez,11.0,Mexican,red_bull,Austrian,2022,4,Emilia Romagna Grand Prix,46800000.0,imola,Imola,Italy,44.3439,11.7167,37.0,Finished,0.0,113.0,2.0,2.0,79773.0,79296.0,89808.0,34,32,Cloudy in a wet and drying track[2],0,0,1,1,1,Race circuit,Anti-clockwise,4.909,63.0,309.049,79296.0,89808.0,82959.0,21,11,219,1,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,245.0,89.0,85.0,89.0,88.0 +3.0,6,18,0.0,62,,61.0,14.0,81577.0,216.634,ricciardo,3.0,Australian,mclaren,British,2022,4,Emilia Romagna Grand Prix,46800000.0,imola,Imola,Italy,44.3439,11.7167,37.0,+1 Lap,0.0,46.0,4.0,0.0,79980.0,80031.0,89742.0,35,33,Cloudy in a wet and drying track[2],0,0,1,1,1,Race circuit,Anti-clockwise,4.909,63.0,309.049,79980.0,89742.0,83251.0,22,11,214,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,1,0,241.0,88.0,93.0,80.0,83.0 +63.0,11,4,12.0,63,5570492.0,57.0,8.0,80962.0,218.28,russell,63.0,British,mercedes,German,2022,4,Emilia Romagna Grand Prix,46800000.0,imola,Imola,Italy,44.3439,11.7167,37.0,Finished,0.0,77.0,3.0,0.0,80383.0,80757.0,80757.0,26,24,Cloudy in a wet and drying track[2],0,0,1,1,1,Race circuit,Anti-clockwise,4.909,63.0,309.049,80383.0,80757.0,80632.33333333333,21,3,64,1,0,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,154.0,90.0,86.0,93.0,90.0 +18.0,15,10,1.0,62,,46.0,16.0,81750.0,216.176,stroll,18.0,Canadian,aston_martin,British,2022,4,Emilia Romagna Grand Prix,46800000.0,imola,Imola,Italy,44.3439,11.7167,37.0,+1 Lap,0.0,5.0,9.0,0.0,80342.0,88119.0,88119.0,26,24,Cloudy in a wet and drying track[2],0,0,1,1,1,Race circuit,Anti-clockwise,4.909,63.0,309.049,80342.0,88119.0,85526.66666666667,19,5,104,0,0,0,0,0,0,0,0,0,0,0,2,1,0,0,0,0,0,159.0,89.0,76.0,77.0,80.0 +22.0,12,7,6.0,63,5589096.0,61.0,5.0,80544.0,219.412,tsunoda,22.0,Japanese,alphatauri,Italian,2022,4,Emilia Romagna Grand Prix,46800000.0,imola,Imola,Italy,44.3439,11.7167,37.0,Finished,0.0,16.0,7.0,0.0,80474.0,80474.0,80474.0,24,22,Cloudy in a wet and drying track[2],0,0,1,1,1,Race circuit,Anti-clockwise,4.909,63.0,309.049,80474.0,80474.0,80474.0,21,1,26,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,111.0,76.0,74.0,83.0,78.0 +5.0,13,8,4.0,63,5598878.0,47.0,9.0,81211.0,217.61,vettel,5.0,German,aston_martin,British,2022,4,Emilia Romagna Grand Prix,46800000.0,imola,Imola,Italy,44.3439,11.7167,37.0,Finished,0.0,5.0,9.0,0.0,80364.0,79957.0,91062.0,37,35,Cloudy in a wet and drying track[2],0,0,1,1,1,Race circuit,Anti-clockwise,4.909,63.0,309.049,79957.0,91062.0,83794.33333333333,20,15,282,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,284.0,87.0,92.0,83.0,85.0 +24.0,20,15,0.0,62,,61.0,11.0,81286.0,217.41,zhou,24.0,Chinese,alfa,Swiss,2022,4,Emilia Romagna Grand Prix,46800000.0,imola,Imola,Italy,44.3439,11.7167,37.0,+1 Lap,0.0,25.0,5.0,0.0,79730.0,81434.0,81434.0,25,23,Cloudy in a wet and drying track[2],0,0,1,1,1,Race circuit,Anti-clockwise,4.909,63.0,309.049,79730.0,81434.0,80866.0,23,0,4,0,0,0,0,0,0,0,0,0,1,2,0,0,0,0,0,0,0,73.0,80.0,73.0,67.0,70.0 +23.0,18,9,2.0,57,5696623.0,57.0,15.0,93447.0,208.494,albon,23.0,Thai,williams,British,2022,5,Miami Grand Prix,70200000.0,miami,Miami,USA,25.9581,-80.2389,2.0,Finished,0.0,3.0,10.0,0.0,91266.0,91266.0,91266.0,28,26,"Warm, partly cloudy",1,0,0,0,1,Street circuit,Anti-clockwise,5.412,57.0,308.326,91266.0,91266.0,91266.0,23,3,43,0,0,0,0,0,0,0,0,0,1,1,0,1,1,0,0,0,0,130.0,90.0,76.0,81.0,82.0 +14.0,11,11,0.0,57,5701386.0,53.0,13.0,93331.0,208.753,alonso,14.0,Spanish,alpine,French,2022,5,Miami Grand Prix,70200000.0,miami,Miami,USA,25.9581,-80.2389,2.0,Finished,0.0,26.0,6.0,0.0,90407.0,90160.0,90160.0,43,41,"Warm, partly cloudy",1,0,0,0,1,Street circuit,Anti-clockwise,5.412,57.0,308.326,90160.0,90407.0,90242.33333333331,25,16,271,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,1,0,317.0,88.0,78.0,89.0,89.0 +77.0,5,7,6.0,57,5689331.0,56.0,10.0,93184.0,209.083,bottas,77.0,Finnish,alfa,Swiss,2022,5,Miami Grand Prix,70200000.0,miami,Miami,USA,25.9581,-80.2389,2.0,Finished,0.0,31.0,5.0,0.0,90845.0,89751.0,89475.0,35,33,"Warm, partly cloudy",1,0,0,0,1,Street circuit,Anti-clockwise,5.412,57.0,308.326,89475.0,90845.0,90023.66666666667,24,9,184,0,0,0,0,1,1,0,1,0,0,0,0,0,0,1,0,0,0,217.0,84.0,93.0,90.0,88.0 +44.0,6,6,8.0,57,5685626.0,55.0,7.0,92941.0,209.629,hamilton,44.0,British,mercedes,German,2022,5,Miami Grand Prix,70200000.0,miami,Miami,USA,25.9581,-80.2389,2.0,Finished,0.0,95.0,3.0,0.0,90388.0,89797.0,89625.0,39,37,"Warm, partly cloudy",1,0,0,0,1,Street circuit,Anti-clockwise,5.412,57.0,308.326,89625.0,90388.0,89936.66666666667,22,15,293,1,0,1,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,293.0,96.0,92.0,93.0,94.0 +6.0,19,14,0.0,57,5714194.0,53.0,18.0,94169.0,206.896,latifi,6.0,Canadian,williams,British,2022,5,Miami Grand Prix,70200000.0,miami,Miami,USA,25.9581,-80.2389,2.0,Finished,0.0,3.0,10.0,0.0,91325.0,91325.0,91325.0,29,27,"Warm, partly cloudy",1,0,0,0,1,Street circuit,Anti-clockwise,5.412,57.0,308.326,91325.0,91325.0,91325.0,25,2,44,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,1,135.0,80.0,76.0,66.0,70.0 +16.0,1,2,18.0,57,5668044.0,53.0,2.0,91488.0,212.959,leclerc,16.0,Monegasque,ferrari,Italian,2022,5,Miami Grand Prix,70200000.0,miami,Miami,USA,25.9581,-80.2389,2.0,Finished,2.0,157.0,1.0,2.0,89474.0,89130.0,88796.0,27,25,"Warm, partly cloudy",1,0,0,0,1,Street circuit,Anti-clockwise,5.412,57.0,308.326,88796.0,89474.0,89133.33333333333,21,4,86,3,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,159.0,94.0,91.0,95.0,92.0 +1.0,3,1,26.0,57,5664258.0,54.0,1.0,91361.0,213.255,max_verstappen,33.0,Dutch,red_bull,Austrian,2022,5,Miami Grand Prix,70200000.0,miami,Miami,USA,25.9581,-80.2389,2.0,Finished,2.0,151.0,2.0,3.0,89836.0,89202.0,88991.0,27,25,"Warm, partly cloudy",1,0,0,0,1,Street circuit,Anti-clockwise,5.412,57.0,308.326,88991.0,89836.0,89343.0,18,7,146,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,193.0,98.0,79.0,97.0,94.0 +47.0,15,15,0.0,57,5737563.0,57.0,6.0,92528.0,210.565,mick_schumacher,47.0,German,haas,American,2022,5,Miami Grand Prix,70200000.0,miami,Miami,USA,25.9581,-80.2389,2.0,Finished,0.0,15.0,8.0,0.0,90645.0,90423.0,90423.0,25,23,"Warm, partly cloudy",1,0,0,0,1,Street circuit,Anti-clockwise,5.412,57.0,308.326,90423.0,90645.0,90497.0,22,1,27,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,1,0,116.0,79.0,80.0,79.0,77.0 +31.0,20,8,4.0,57,5692644.0,56.0,9.0,93163.0,209.13,ocon,31.0,French,alpine,French,2022,5,Miami Grand Prix,70200000.0,miami,Miami,USA,25.9581,-80.2389,2.0,Finished,0.0,26.0,6.0,0.0,91325.0,91325.0,91325.0,28,26,"Warm, partly cloudy",1,0,0,0,1,Street circuit,Anti-clockwise,5.412,57.0,308.326,91325.0,91325.0,91325.0,20,6,94,0,0,0,0,0,1,2,0,0,0,0,0,0,1,0,0,0,0,150.0,90.0,76.0,82.0,83.0 +11.0,4,4,12.0,57,5674896.0,54.0,4.0,91819.0,212.191,perez,11.0,Mexican,red_bull,Austrian,2022,5,Miami Grand Prix,70200000.0,miami,Miami,USA,25.9581,-80.2389,2.0,Finished,0.0,151.0,2.0,3.0,90055.0,89673.0,89036.0,34,32,"Warm, partly cloudy",1,0,0,0,1,Street circuit,Anti-clockwise,5.412,57.0,308.326,89036.0,90055.0,89588.0,21,11,220,2,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,245.0,89.0,85.0,89.0,88.0 +3.0,14,13,0.0,57,5705160.0,56.0,11.0,93265.0,208.901,ricciardo,3.0,Australian,mclaren,British,2022,5,Miami Grand Prix,70200000.0,miami,Miami,USA,25.9581,-80.2389,2.0,Finished,0.0,46.0,4.0,0.0,90583.0,90310.0,90310.0,35,33,"Warm, partly cloudy",1,0,0,0,1,Street circuit,Anti-clockwise,5.412,57.0,308.326,90310.0,90583.0,90401.0,22,11,215,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,1,1,241.0,88.0,93.0,80.0,83.0 +63.0,12,5,10.0,57,5682840.0,56.0,5.0,92195.0,211.325,russell,63.0,British,mercedes,German,2022,5,Miami Grand Prix,70200000.0,miami,Miami,USA,25.9581,-80.2389,2.0,Finished,0.0,95.0,3.0,0.0,90490.0,90173.0,90173.0,26,24,"Warm, partly cloudy",1,0,0,0,1,Street circuit,Anti-clockwise,5.412,57.0,308.326,90173.0,90490.0,90278.66666666669,21,3,65,1,0,1,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,154.0,90.0,86.0,93.0,90.0 +55.0,2,3,15.0,57,5672487.0,56.0,3.0,91790.0,212.258,sainz,55.0,Spanish,ferrari,Italian,2022,5,Miami Grand Prix,70200000.0,miami,Miami,USA,25.9581,-80.2389,2.0,Finished,0.0,157.0,1.0,2.0,90079.0,89729.0,88986.0,30,28,"Warm, partly cloudy",1,0,0,0,1,Street circuit,Anti-clockwise,5.412,57.0,308.326,88986.0,90079.0,89598.0,21,7,146,2,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,193.0,89.0,89.0,87.0,87.0 +18.0,21,10,1.0,57,5701284.0,52.0,12.0,93312.0,208.796,stroll,18.0,Canadian,aston_martin,British,2022,5,Miami Grand Prix,70200000.0,miami,Miami,USA,25.9581,-80.2389,2.0,Finished,0.0,6.0,9.0,0.0,90441.0,89996.0,90676.0,26,24,"Warm, partly cloudy",1,0,0,0,1,Street circuit,Anti-clockwise,5.412,57.0,308.326,89996.0,90676.0,90371.0,19,5,105,0,0,0,0,0,0,0,0,0,1,0,2,1,0,0,0,0,0,159.0,89.0,76.0,77.0,80.0 +22.0,9,12,0.0,57,5704404.0,55.0,8.0,93035.0,209.417,tsunoda,22.0,Japanese,alphatauri,Italian,2022,5,Miami Grand Prix,70200000.0,miami,Miami,USA,25.9581,-80.2389,2.0,Finished,0.0,16.0,7.0,0.0,90485.0,90031.0,89932.0,24,22,"Warm, partly cloudy",1,0,0,0,1,Street circuit,Anti-clockwise,5.412,57.0,308.326,89932.0,90485.0,90149.33333333331,21,1,27,0,0,0,0,0,0,1,1,0,0,0,0,0,0,1,0,0,0,111.0,76.0,74.0,83.0,78.0 +23.0,18,18,0.0,64,,56.0,19.0,88281.0,190.641,albon,23.0,Thai,williams,British,2022,6,Spanish Grand Prix,46800000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+2 Laps,0.0,3.0,10.0,0.0,81645.0,81645.0,81645.0,28,26,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,81645.0,81645.0,81645.0,23,3,44,0,0,0,0,0,0,0,0,1,1,1,0,1,1,0,0,0,0,130.0,90.0,76.0,81.0,82.0 +14.0,20,9,2.0,65,,56.0,9.0,86599.0,194.344,alonso,14.0,Spanish,alpine,French,2022,6,Spanish Grand Prix,46800000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,34.0,6.0,0.0,81043.0,81043.0,81043.0,43,41,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,81043.0,81043.0,81043.0,25,16,272,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,1,1,0,317.0,88.0,78.0,89.0,89.0 +77.0,7,6,8.0,66,5900451.0,36.0,8.0,86395.0,194.802,bottas,77.0,Finnish,alfa,Swiss,2022,6,Spanish Grand Prix,46800000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,39.0,5.0,0.0,80355.0,80053.0,79608.0,35,33,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,79608.0,80355.0,80005.33333333333,24,9,185,0,0,0,0,1,1,1,1,0,0,0,0,0,0,1,0,0,0,217.0,84.0,93.0,90.0,88.0 +10.0,14,13,0.0,65,,51.0,12.0,86987.0,193.477,gasly,10.0,French,alphatauri,Italian,2022,6,Spanish Grand Prix,46800000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,17.0,7.0,0.0,80719.0,80861.0,80861.0,28,26,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,80719.0,80861.0,80813.66666666667,21,5,92,0,0,0,0,0,0,0,1,1,0,0,1,0,0,0,0,0,1,145.0,90.0,79.0,84.0,84.0 +44.0,6,5,10.0,66,5895009.0,51.0,2.0,84253.0,199.755,hamilton,44.0,British,mercedes,German,2022,6,Spanish Grand Prix,46800000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,120.0,3.0,0.0,80252.0,79794.0,79512.0,39,37,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,79512.0,80252.0,79852.66666666667,22,15,294,1,0,1,1,0,1,0,0,0,1,0,0,1,0,0,0,0,0,293.0,96.0,92.0,93.0,94.0 +20.0,8,17,0.0,64,,3.0,17.0,87537.0,192.261,kevin_magnussen,20.0,Danish,haas,American,2022,6,Spanish Grand Prix,46800000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+2 Laps,0.0,15.0,8.0,0.0,80227.0,79810.0,79682.0,32,30,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,79682.0,80227.0,79906.33333333333,22,8,126,0,0,0,0,1,0,0,0,2,0,0,0,0,1,0,1,0,0,173.0,82.0,84.0,82.0,81.0 +6.0,19,16,0.0,64,,52.0,14.0,87246.0,192.902,latifi,6.0,Canadian,williams,British,2022,6,Spanish Grand Prix,46800000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+2 Laps,0.0,3.0,10.0,0.0,81915.0,81915.0,81915.0,29,27,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,81915.0,81915.0,81915.0,25,2,45,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,3,0,1,135.0,80.0,76.0,66.0,70.0 +1.0,2,1,25.0,66,5840475.0,46.0,4.0,85456.0,196.943,max_verstappen,33.0,Dutch,red_bull,Austrian,2022,6,Spanish Grand Prix,46800000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,3.0,195.0,1.0,4.0,80091.0,79219.0,79073.0,27,25,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,79073.0,80091.0,79461.0,18,7,147,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,193.0,98.0,79.0,97.0,94.0 +47.0,10,14,0.0,65,,32.0,16.0,87447.0,192.459,mick_schumacher,47.0,German,haas,American,2022,6,Spanish Grand Prix,46800000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,15.0,8.0,0.0,80683.0,80436.0,80368.0,25,23,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,80368.0,80683.0,80495.66666666667,22,1,28,0,0,0,0,0,0,0,0,0,0,1,0,1,0,1,0,1,0,116.0,79.0,80.0,79.0,77.0 +4.0,11,8,4.0,66,5923710.0,53.0,5.0,85619.0,196.568,norris,4.0,British,mclaren,British,2022,6,Spanish Grand Prix,46800000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,50.0,4.0,0.0,80838.0,80471.0,80471.0,25,23,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,80471.0,80838.0,80593.33333333333,20,3,66,1,0,1,0,1,0,1,0,0,0,0,0,0,0,1,0,0,0,154.0,94.0,82.0,92.0,90.0 +31.0,12,7,6.0,66,5915872.0,54.0,6.0,85935.0,195.845,ocon,31.0,French,alpine,French,2022,6,Spanish Grand Prix,46800000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,34.0,6.0,0.0,80880.0,80638.0,80638.0,28,26,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,80638.0,80880.0,80718.66666666667,20,6,95,0,0,0,0,0,1,2,1,0,0,0,0,0,1,0,0,0,0,150.0,90.0,76.0,82.0,83.0 +11.0,5,2,19.0,66,5853547.0,55.0,1.0,84108.0,200.099,perez,11.0,Mexican,red_bull,Austrian,2022,6,Spanish Grand Prix,46800000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,195.0,1.0,4.0,80447.0,79830.0,79420.0,34,32,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,79420.0,80447.0,79899.0,21,11,221,2,2,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,1,245.0,89.0,85.0,89.0,88.0 +3.0,9,12,0.0,65,,54.0,15.0,87285.0,192.816,ricciardo,3.0,Australian,mclaren,British,2022,6,Spanish Grand Prix,46800000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,50.0,4.0,0.0,80549.0,80287.0,80297.0,35,33,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,80287.0,80549.0,80377.66666666667,22,11,216,0,0,0,0,0,1,0,0,0,0,0,0,1,1,0,0,1,1,241.0,88.0,93.0,80.0,83.0 +63.0,4,3,15.0,66,5873402.0,53.0,3.0,84636.0,198.851,russell,63.0,British,mercedes,German,2022,6,Spanish Grand Prix,46800000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,120.0,3.0,0.0,80218.0,79470.0,79393.0,26,24,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,79393.0,80218.0,79693.66666666667,21,3,66,1,0,1,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,154.0,90.0,86.0,93.0,90.0 +55.0,3,4,12.0,66,5885683.0,49.0,7.0,85985.0,195.731,sainz,55.0,Spanish,ferrari,Italian,2022,6,Spanish Grand Prix,46800000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,169.0,2.0,2.0,79892.0,79453.0,79166.0,30,28,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,79166.0,79892.0,79503.66666666667,21,7,147,3,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,193.0,89.0,89.0,87.0,87.0 +18.0,17,15,0.0,65,,54.0,11.0,86876.0,193.724,stroll,18.0,Canadian,aston_martin,British,2022,6,Spanish Grand Prix,46800000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,6.0,9.0,0.0,81418.0,81418.0,81418.0,26,24,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,81418.0,81418.0,81418.0,19,5,106,0,0,0,0,0,0,0,0,0,2,0,2,1,0,0,0,0,0,159.0,89.0,76.0,77.0,80.0 +22.0,13,10,1.0,65,,59.0,10.0,86828.0,193.831,tsunoda,22.0,Japanese,alphatauri,Italian,2022,6,Spanish Grand Prix,46800000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,17.0,7.0,0.0,80707.0,80639.0,80639.0,24,22,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,80639.0,80707.0,80661.66666666667,21,1,28,0,0,0,0,0,0,1,1,0,0,0,1,0,0,1,0,0,0,111.0,76.0,74.0,83.0,78.0 +5.0,16,11,0.0,65,,59.0,18.0,87629.0,192.059,vettel,5.0,German,aston_martin,British,2022,6,Spanish Grand Prix,46800000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,6.0,9.0,0.0,80954.0,80954.0,80954.0,37,35,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.657,66.0,307.236,80954.0,80954.0,80954.0,20,15,284,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,284.0,87.0,92.0,83.0,85.0 +14.0,7,7,6.0,64,7036623.0,50.0,3.0,75882.0,158.314,alonso,14.0,Spanish,alpine,French,2022,7,Monaco Grand Prix,46800000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,40.0,6.0,0.0,73394.0,72688.0,72247.0,43,41,Rain and partly cloudy in wet-and-drying track conditions,0,0,1,1,1,Street circuit,Clockwise,3.337,78.0,260.286,72247.0,73394.0,72776.33333333333,25,16,273,0,0,0,0,0,0,0,0,2,0,1,0,0,0,0,1,1,0,317.0,88.0,78.0,89.0,89.0 +77.0,12,9,2.0,64,7042790.0,57.0,14.0,77600.0,154.809,bottas,77.0,Finnish,alfa,Swiss,2022,7,Monaco Grand Prix,46800000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,41.0,5.0,0.0,73541.0,72909.0,72909.0,35,33,Rain and partly cloudy in wet-and-drying track conditions,0,0,1,1,1,Street circuit,Clockwise,3.337,78.0,260.286,72909.0,73541.0,73119.66666666667,24,9,186,0,0,0,0,1,2,1,1,0,0,0,0,0,0,1,0,0,0,217.0,84.0,93.0,90.0,88.0 +10.0,17,11,0.0,64,7044554.0,61.0,10.0,77344.0,155.321,gasly,10.0,French,alphatauri,Italian,2022,7,Monaco Grand Prix,46800000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,17.0,7.0,0.0,73660.0,73660.0,73660.0,28,26,Rain and partly cloudy in wet-and-drying track conditions,0,0,1,1,1,Street circuit,Clockwise,3.337,78.0,260.286,73660.0,73660.0,73660.0,21,5,93,0,0,0,0,0,0,0,1,1,0,0,1,1,0,0,0,0,1,145.0,90.0,79.0,84.0,84.0 +44.0,8,8,4.0,64,7040653.0,51.0,9.0,77203.0,155.605,hamilton,44.0,British,mercedes,German,2022,7,Monaco Grand Prix,46800000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,134.0,3.0,0.0,73444.0,72595.0,72560.0,39,37,Rain and partly cloudy in wet-and-drying track conditions,0,0,1,1,1,Street circuit,Clockwise,3.337,78.0,260.286,72560.0,73444.0,72866.33333333333,22,15,295,1,0,1,1,1,1,0,0,0,1,0,0,1,0,0,0,0,0,293.0,96.0,92.0,93.0,94.0 +6.0,19,15,0.0,63,,43.0,18.0,78579.0,152.88,latifi,6.0,Canadian,williams,British,2022,7,Monaco Grand Prix,46800000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,3.0,10.0,0.0,74403.0,74403.0,74403.0,29,27,Rain and partly cloudy in wet-and-drying track conditions,0,0,1,1,1,Street circuit,Clockwise,3.337,78.0,260.286,74403.0,74403.0,74403.0,25,2,46,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,4,0,1,135.0,80.0,76.0,66.0,70.0 +16.0,1,4,12.0,64,6993187.0,46.0,6.0,76249.0,157.552,leclerc,16.0,Monegasque,ferrari,Italian,2022,7,Monaco Grand Prix,46800000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,2.0,199.0,2.0,2.0,72569.0,71864.0,71376.0,27,25,Rain and partly cloudy in wet-and-drying track conditions,0,0,1,1,1,Street circuit,Clockwise,3.337,78.0,260.286,71376.0,72569.0,71936.33333333333,21,4,88,4,2,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,159.0,94.0,91.0,95.0,92.0 +1.0,4,3,15.0,64,6991756.0,47.0,5.0,76052.0,157.96,max_verstappen,33.0,Dutch,red_bull,Austrian,2022,7,Monaco Grand Prix,46800000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,4.0,235.0,1.0,5.0,72993.0,72117.0,71666.0,27,25,Rain and partly cloudy in wet-and-drying track conditions,0,0,1,1,1,Street circuit,Clockwise,3.337,78.0,260.286,71666.0,72993.0,72258.66666666667,18,7,148,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,193.0,98.0,79.0,97.0,94.0 +4.0,5,6,9.0,64,7002496.0,55.0,1.0,74693.0,160.834,norris,4.0,British,mclaren,British,2022,7,Monaco Grand Prix,46800000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,59.0,4.0,0.0,72927.0,72266.0,71849.0,25,23,Rain and partly cloudy in wet-and-drying track conditions,0,0,1,1,1,Street circuit,Clockwise,3.337,78.0,260.286,71849.0,72927.0,72347.33333333333,20,3,67,1,0,1,0,1,0,1,1,0,0,0,0,0,0,1,0,0,0,154.0,94.0,82.0,92.0,90.0 +31.0,10,12,0.0,64,7045909.0,50.0,13.0,77571.0,154.867,ocon,31.0,French,alpine,French,2022,7,Monaco Grand Prix,46800000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,40.0,6.0,0.0,72848.0,72528.0,73047.0,28,26,Rain and partly cloudy in wet-and-drying track conditions,0,0,1,1,1,Street circuit,Clockwise,3.337,78.0,260.286,72528.0,73047.0,72807.66666666667,20,6,96,0,0,0,0,0,1,3,1,0,0,0,0,0,1,0,0,0,0,150.0,90.0,76.0,82.0,83.0 +11.0,3,1,25.0,64,6990265.0,46.0,4.0,76028.0,158.01,perez,11.0,Mexican,red_bull,Austrian,2022,7,Monaco Grand Prix,46800000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,235.0,1.0,5.0,73004.0,71954.0,71629.0,34,32,Rain and partly cloudy in wet-and-drying track conditions,0,0,1,1,1,Street circuit,Clockwise,3.337,78.0,260.286,71629.0,73004.0,72195.66666666667,21,11,222,3,3,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,1,245.0,89.0,85.0,89.0,88.0 +3.0,14,13,0.0,64,7047900.0,59.0,11.0,77532.0,154.945,ricciardo,3.0,Australian,mclaren,British,2022,7,Monaco Grand Prix,46800000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,59.0,4.0,0.0,73338.0,72964.0,72964.0,35,33,Rain and partly cloudy in wet-and-drying track conditions,0,0,1,1,1,Street circuit,Clockwise,3.337,78.0,260.286,72964.0,73338.0,73088.66666666667,22,11,217,0,0,0,0,0,1,0,0,0,0,0,1,1,1,0,0,1,1,241.0,88.0,93.0,80.0,83.0 +63.0,6,5,10.0,64,7002233.0,42.0,8.0,76830.0,156.36,russell,63.0,British,mercedes,German,2022,7,Monaco Grand Prix,46800000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,134.0,3.0,0.0,72787.0,72617.0,72112.0,26,24,Rain and partly cloudy in wet-and-drying track conditions,0,0,1,1,1,Street circuit,Clockwise,3.337,78.0,260.286,72112.0,72787.0,72505.33333333333,21,3,67,2,0,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,154.0,90.0,86.0,93.0,90.0 +55.0,2,2,18.0,64,6991419.0,47.0,7.0,76421.0,157.197,sainz,55.0,Spanish,ferrari,Italian,2022,7,Monaco Grand Prix,46800000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,199.0,2.0,2.0,72616.0,72074.0,71601.0,30,28,Rain and partly cloudy in wet-and-drying track conditions,0,0,1,1,1,Street circuit,Clockwise,3.337,78.0,260.286,71601.0,72616.0,72097.0,21,7,148,3,1,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,193.0,89.0,89.0,87.0,87.0 +18.0,18,14,0.0,64,7051067.0,56.0,15.0,77672.0,154.665,stroll,18.0,Canadian,aston_martin,British,2022,7,Monaco Grand Prix,46800000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,7.0,9.0,0.0,73678.0,73678.0,73678.0,26,24,Rain and partly cloudy in wet-and-drying track conditions,0,0,1,1,1,Street circuit,Clockwise,3.337,78.0,260.286,73678.0,73678.0,73678.0,19,5,107,0,0,0,0,0,0,0,0,0,2,0,2,1,0,1,0,0,0,159.0,89.0,76.0,77.0,80.0 +22.0,11,17,0.0,63,,61.0,2.0,75334.0,159.465,tsunoda,22.0,Japanese,alphatauri,Italian,2022,7,Monaco Grand Prix,46800000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,17.0,7.0,0.0,73110.0,72797.0,72797.0,24,22,Rain and partly cloudy in wet-and-drying track conditions,0,0,1,1,1,Street circuit,Clockwise,3.337,78.0,260.286,72797.0,73110.0,72901.33333333333,21,1,29,0,0,0,0,0,0,1,1,0,1,0,1,0,0,1,0,0,0,111.0,76.0,74.0,83.0,78.0 +5.0,9,10,1.0,64,7043801.0,54.0,12.0,77558.0,154.893,vettel,5.0,German,aston_martin,British,2022,7,Monaco Grand Prix,46800000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,7.0,9.0,0.0,73313.0,72613.0,72732.0,37,35,Rain and partly cloudy in wet-and-drying track conditions,0,0,1,1,1,Street circuit,Clockwise,3.337,78.0,260.286,72613.0,73313.0,72886.0,20,15,285,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,1,0,284.0,87.0,92.0,83.0,85.0 +24.0,20,16,0.0,63,,52.0,17.0,78200.0,153.621,zhou,24.0,Chinese,alfa,Swiss,2022,7,Monaco Grand Prix,46800000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,41.0,5.0,0.0,75606.0,75606.0,75606.0,25,23,Rain and partly cloudy in wet-and-drying track conditions,0,0,1,1,1,Street circuit,Clockwise,3.337,78.0,260.286,75606.0,75606.0,75606.0,23,0,7,0,0,0,0,0,0,0,0,0,1,2,0,0,0,1,0,0,0,73.0,80.0,73.0,67.0,70.0 +23.0,17,12,0.0,50,,48.0,7.0,107966.0,200.163,albon,23.0,Thai,williams,British,2022,8,Azerbaijan Grand Prix,39600000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,+1 Lap,0.0,3.0,10.0,0.0,104719.0,104719.0,104719.0,28,26,Sunny,1,0,0,0,0,Street circuit,Anti-clockwise,6.003,51.0,306.049,104719.0,104719.0,104719.0,23,3,46,0,0,0,0,0,0,0,0,1,1,1,0,1,1,0,0,0,2,130.0,90.0,76.0,81.0,82.0 +14.0,10,7,6.0,51,5734537.0,49.0,8.0,107989.0,200.12,alonso,14.0,Spanish,alpine,French,2022,8,Azerbaijan Grand Prix,39600000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,47.0,5.0,0.0,104083.0,103360.0,103173.0,43,41,Sunny,1,0,0,0,0,Street circuit,Anti-clockwise,6.003,51.0,306.049,103173.0,104083.0,103538.66666666669,25,16,274,0,0,0,0,0,0,1,0,2,0,1,0,0,0,0,1,1,0,317.0,88.0,78.0,89.0,89.0 +77.0,15,11,0.0,50,,42.0,11.0,108179.0,199.768,bottas,77.0,Finnish,alfa,Swiss,2022,8,Azerbaijan Grand Prix,39600000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,+1 Lap,0.0,41.0,6.0,0.0,104478.0,104444.0,104444.0,35,33,Sunny,1,0,0,0,0,Street circuit,Anti-clockwise,6.003,51.0,306.049,104444.0,104478.0,104455.33333333331,24,9,187,0,0,0,0,1,2,1,1,1,0,0,0,0,0,1,0,0,0,217.0,84.0,93.0,90.0,88.0 +10.0,6,5,10.0,51,5723240.0,39.0,16.0,108519.0,199.143,gasly,10.0,French,alphatauri,Italian,2022,8,Azerbaijan Grand Prix,39600000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,27.0,7.0,0.0,103268.0,103129.0,102845.0,28,26,Sunny,1,0,0,0,0,Street circuit,Anti-clockwise,6.003,51.0,306.049,102845.0,103268.0,103080.66666666669,21,5,94,0,0,0,0,0,0,0,1,1,0,1,1,1,0,0,0,0,1,145.0,90.0,79.0,84.0,84.0 +44.0,7,4,12.0,51,5717620.0,39.0,3.0,107044.0,201.887,hamilton,44.0,British,mercedes,German,2022,8,Azerbaijan Grand Prix,39600000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,161.0,3.0,0.0,103939.0,103182.0,102924.0,39,37,Sunny,1,0,0,0,0,Street circuit,Anti-clockwise,6.003,51.0,306.049,102924.0,103939.0,103348.33333333331,22,15,296,1,0,1,1,1,1,0,1,0,1,0,0,1,0,0,0,0,0,293.0,96.0,92.0,93.0,94.0 +6.0,18,15,0.0,50,,37.0,20.0,109583.0,197.209,latifi,6.0,Canadian,williams,British,2022,8,Azerbaijan Grand Prix,39600000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,+1 Lap,0.0,3.0,10.0,0.0,105367.0,105367.0,105367.0,29,27,Sunny,1,0,0,0,0,Street circuit,Anti-clockwise,6.003,51.0,306.049,105367.0,105367.0,105367.0,25,2,47,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,4,0,1,135.0,80.0,76.0,66.0,70.0 +1.0,3,1,25.0,51,5645941.0,50.0,2.0,106050.0,203.779,max_verstappen,33.0,Dutch,red_bull,Austrian,2022,8,Azerbaijan Grand Prix,39600000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,4.0,279.0,1.0,6.0,102722.0,102227.0,101706.0,27,25,Sunny,1,0,0,0,0,Street circuit,Anti-clockwise,6.003,51.0,306.049,101706.0,102722.0,102218.33333333331,18,7,149,5,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,193.0,98.0,79.0,97.0,94.0 +47.0,20,14,0.0,50,,40.0,15.0,108410.0,199.343,mick_schumacher,47.0,German,haas,American,2022,8,Azerbaijan Grand Prix,39600000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,+1 Lap,0.0,15.0,8.0,0.0,105775.0,105775.0,105775.0,25,23,Sunny,1,0,0,0,0,Street circuit,Anti-clockwise,6.003,51.0,306.049,105775.0,105775.0,105775.0,22,1,30,0,0,0,0,0,0,0,0,0,0,1,0,1,1,1,0,1,0,116.0,79.0,80.0,79.0,77.0 +4.0,11,9,2.0,51,5738497.0,37.0,9.0,107997.0,200.105,norris,4.0,British,mclaren,British,2022,8,Azerbaijan Grand Prix,39600000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,65.0,4.0,0.0,104237.0,103398.0,103398.0,25,23,Sunny,1,0,0,0,0,Street circuit,Anti-clockwise,6.003,51.0,306.049,103398.0,104237.0,103677.66666666669,20,3,68,1,0,1,0,1,1,1,1,0,0,0,0,0,0,1,0,0,0,154.0,94.0,82.0,92.0,90.0 +31.0,13,10,1.0,51,5754125.0,36.0,14.0,108297.0,199.551,ocon,31.0,French,alpine,French,2022,8,Azerbaijan Grand Prix,39600000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,47.0,5.0,0.0,103903.0,103585.0,103585.0,28,26,Sunny,1,0,0,0,0,Street circuit,Anti-clockwise,6.003,51.0,306.049,103585.0,103903.0,103691.0,20,6,97,0,0,0,0,0,1,3,1,0,0,0,1,0,1,0,0,0,0,150.0,90.0,76.0,82.0,83.0 +11.0,2,2,19.0,51,5666764.0,36.0,1.0,106046.0,203.787,perez,11.0,Mexican,red_bull,Austrian,2022,8,Azerbaijan Grand Prix,39600000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,1.0,279.0,1.0,6.0,102733.0,101955.0,101641.0,34,32,Sunny,1,0,0,0,0,Street circuit,Anti-clockwise,6.003,51.0,306.049,101641.0,102733.0,102109.66666666669,21,11,223,4,3,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,1,245.0,89.0,85.0,89.0,88.0 +3.0,12,8,4.0,51,5738148.0,44.0,13.0,108276.0,199.589,ricciardo,3.0,Australian,mclaren,British,2022,8,Azerbaijan Grand Prix,39600000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,65.0,4.0,0.0,104437.0,103574.0,103574.0,35,33,Sunny,1,0,0,0,0,Street circuit,Anti-clockwise,6.003,51.0,306.049,103574.0,104437.0,103861.66666666669,22,11,218,0,0,0,0,0,1,0,0,0,0,0,1,2,1,0,0,1,1,241.0,88.0,93.0,80.0,83.0 +63.0,5,3,15.0,51,5691936.0,42.0,4.0,107177.0,201.636,russell,63.0,British,mercedes,German,2022,8,Azerbaijan Grand Prix,39600000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,161.0,3.0,0.0,103754.0,103281.0,102712.0,26,24,Sunny,1,0,0,0,0,Street circuit,Anti-clockwise,6.003,51.0,306.049,102712.0,103754.0,103249.0,21,3,68,2,0,2,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,154.0,90.0,86.0,93.0,90.0 +22.0,8,13,0.0,50,,42.0,5.0,107523.0,200.987,tsunoda,22.0,Japanese,alphatauri,Italian,2022,8,Azerbaijan Grand Prix,39600000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,+1 Lap,0.0,27.0,7.0,0.0,103595.0,103376.0,103056.0,24,22,Sunny,1,0,0,0,0,Street circuit,Anti-clockwise,6.003,51.0,306.049,103056.0,103595.0,103342.33333333331,21,1,30,0,0,0,0,0,0,1,1,0,1,0,1,0,0,1,0,1,0,111.0,76.0,74.0,83.0,78.0 +5.0,9,6,8.0,51,5730040.0,41.0,12.0,108206.0,199.719,vettel,5.0,German,aston_martin,British,2022,8,Azerbaijan Grand Prix,39600000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,15.0,9.0,0.0,103279.0,103268.0,103091.0,37,35,Sunny,1,0,0,0,0,Street circuit,Anti-clockwise,6.003,51.0,306.049,103091.0,103279.0,103212.66666666669,20,15,286,0,0,0,0,0,0,0,1,0,1,1,0,0,0,0,0,1,0,284.0,87.0,92.0,83.0,85.0 +23.0,12,13,0.0,70,5826650.0,59.0,14.0,77951.0,201.403,albon,23.0,Thai,williams,British,2022,9,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,3.0,10.0,0.0,94047.0,86858.0,86858.0,28,26,Sunny,1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,86858.0,94047.0,89254.33333333333,23,3,47,0,0,0,0,0,0,0,0,1,1,1,1,1,1,0,0,0,2,130.0,90.0,76.0,81.0,82.0 +14.0,2,9,2.0,70,5811702.0,63.0,6.0,76578.0,205.014,alonso,14.0,Spanish,alpine,French,2022,9,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,57.0,5.0,0.0,92277.0,84848.0,81944.0,43,41,Sunny,1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,81944.0,92277.0,86356.33333333333,25,16,275,0,0,0,0,0,0,2,0,2,0,1,0,0,0,0,1,1,0,317.0,88.0,78.0,89.0,89.0 +77.0,11,7,6.0,70,5807004.0,64.0,8.0,77010.0,203.864,bottas,77.0,Finnish,alfa,Swiss,2022,9,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,51.0,6.0,0.0,93689.0,86788.0,86788.0,35,33,Sunny,1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,86788.0,93689.0,89088.33333333333,24,9,188,0,0,0,0,1,2,1,1,1,0,1,0,0,0,1,0,0,0,217.0,84.0,93.0,90.0,88.0 +10.0,15,14,0.0,70,5826940.0,60.0,12.0,77810.0,201.768,gasly,10.0,French,alphatauri,Italian,2022,9,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,27.0,7.0,0.0,94492.0,94492.0,94492.0,28,26,Sunny,1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,94492.0,94492.0,94492.0,21,5,95,0,0,0,0,1,0,0,1,1,0,1,1,1,0,0,0,0,1,145.0,90.0,79.0,84.0,84.0 +44.0,4,3,15.0,70,5788763.0,69.0,4.0,76167.0,206.12,hamilton,44.0,British,mercedes,German,2022,9,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,188.0,3.0,0.0,93841.0,85543.0,82891.0,39,37,Sunny,1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,82891.0,93841.0,87425.0,22,15,297,1,0,1,2,1,1,0,1,0,1,0,0,1,0,0,0,0,0,293.0,96.0,92.0,93.0,94.0 +20.0,5,17,0.0,70,5849937.0,11.0,16.0,78046.0,201.158,kevin_magnussen,20.0,Danish,haas,American,2022,9,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,15.0,9.0,0.0,92957.0,86254.0,82960.0,32,30,Sunny,1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,82960.0,92957.0,87390.33333333333,22,8,129,0,0,0,0,1,0,0,0,2,0,0,0,0,1,0,1,2,0,173.0,82.0,84.0,82.0,81.0 +6.0,18,16,0.0,70,5841735.0,61.0,18.0,78540.0,199.893,latifi,6.0,Canadian,williams,British,2022,9,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,3.0,10.0,0.0,95660.0,95660.0,95660.0,29,27,Sunny,1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,95660.0,95660.0,95660.0,25,2,48,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,4,0,1,135.0,80.0,76.0,66.0,70.0 +16.0,19,5,10.0,70,5796925.0,62.0,3.0,75901.0,206.843,leclerc,16.0,Monegasque,ferrari,Italian,2022,9,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,2.0,228.0,2.0,2.0,93008.0,93008.0,93008.0,27,25,Sunny,1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,93008.0,93008.0,93008.0,21,4,90,4,2,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,159.0,94.0,91.0,95.0,92.0 +1.0,1,1,25.0,70,5781757.0,64.0,2.0,75839.0,207.012,max_verstappen,33.0,Dutch,red_bull,Austrian,2022,9,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,5.0,304.0,1.0,7.0,92219.0,83746.0,81299.0,27,25,Sunny,1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,81299.0,92219.0,85754.66666666667,18,7,150,6,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,193.0,98.0,79.0,97.0,94.0 +4.0,14,15,0.0,70,5833902.0,63.0,11.0,77495.0,202.588,norris,4.0,British,mclaren,British,2022,9,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,65.0,4.0,0.0,94066.0,94066.0,94066.0,25,23,Sunny,1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,94066.0,94066.0,94066.0,20,3,69,1,0,1,0,1,1,1,1,1,0,0,0,0,0,1,0,0,0,154.0,94.0,82.0,92.0,90.0 +31.0,7,6,8.0,70,5805647.0,62.0,9.0,77110.0,203.6,ocon,31.0,French,alpine,French,2022,9,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,57.0,5.0,0.0,93012.0,86135.0,83529.0,28,26,Sunny,1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,83529.0,93012.0,87558.66666666667,20,6,98,0,0,0,0,0,1,3,1,0,1,0,1,0,1,0,0,0,0,150.0,90.0,76.0,82.0,83.0 +3.0,9,11,0.0,70,5824804.0,59.0,13.0,77932.0,201.452,ricciardo,3.0,Australian,mclaren,British,2022,9,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,65.0,4.0,0.0,93636.0,86375.0,83749.0,35,33,Sunny,1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,83749.0,93636.0,87920.0,22,11,219,0,0,0,0,0,1,0,1,0,0,0,1,2,1,0,0,1,1,241.0,88.0,93.0,80.0,83.0 +63.0,8,4,12.0,70,5794070.0,63.0,5.0,76418.0,205.443,russell,63.0,British,mercedes,German,2022,9,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,188.0,3.0,0.0,93160.0,84950.0,83557.0,26,24,Sunny,1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,83557.0,93160.0,87222.33333333333,21,3,69,3,0,3,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,154.0,90.0,86.0,93.0,90.0 +55.0,3,2,19.0,70,5782750.0,63.0,1.0,75749.0,207.258,sainz,55.0,Spanish,ferrari,Italian,2022,9,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,228.0,2.0,2.0,92781.0,85197.0,82096.0,30,28,Sunny,1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,82096.0,92781.0,86691.33333333333,21,7,150,4,2,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,193.0,89.0,89.0,87.0,87.0 +18.0,17,10,1.0,70,5819979.0,64.0,10.0,77421.0,202.782,stroll,18.0,Canadian,aston_martin,British,2022,9,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,16.0,8.0,0.0,95532.0,95532.0,95532.0,26,24,Sunny,1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,95532.0,95532.0,95532.0,19,5,109,0,0,0,0,0,0,0,0,0,2,0,2,1,1,1,1,0,0,159.0,89.0,76.0,77.0,80.0 +5.0,16,12,0.0,70,5826002.0,63.0,15.0,77956.0,201.39,vettel,5.0,German,aston_martin,British,2022,9,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,16.0,8.0,0.0,94512.0,94512.0,94512.0,37,35,Sunny,1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,94512.0,94512.0,94512.0,20,15,287,0,0,0,0,0,1,0,1,0,1,1,0,0,0,0,0,1,0,284.0,87.0,92.0,83.0,85.0 +24.0,10,8,4.0,70,5808709.0,60.0,7.0,76927.0,204.084,zhou,24.0,Chinese,alfa,Swiss,2022,9,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,51.0,6.0,0.0,93692.0,86116.0,84030.0,25,23,Sunny,1,0,0,0,0,Street circuit,Clockwise,4.361,70.0,305.27,84030.0,93692.0,87946.0,23,0,9,0,0,0,0,0,0,0,0,0,1,2,0,0,0,1,1,0,1,73.0,80.0,73.0,67.0,70.0 +14.0,7,5,10.0,52,8279882.0,47.0,5.0,91609.0,231.501,alonso,14.0,Spanish,alpine,French,2022,10,British Grand Prix,50400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,67.0,5.0,0.0,101598.0,102209.0,102116.0,43,41,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,101598.0,102209.0,101974.33333333331,25,16,276,0,0,0,0,0,0,2,0,3,0,1,0,0,0,0,1,1,0,317.0,88.0,78.0,89.0,89.0 +44.0,5,3,16.0,52,8276536.0,52.0,1.0,90510.0,234.312,hamilton,44.0,British,mercedes,German,2022,10,British Grand Prix,50400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,204.0,3.0,0.0,100428.0,101062.0,101995.0,39,37,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,100428.0,101995.0,101161.66666666669,22,15,298,2,0,2,2,1,1,0,1,0,1,0,0,1,0,0,0,0,0,293.0,96.0,92.0,93.0,94.0 +20.0,17,10,1.0,52,8294901.0,52.0,12.0,92661.0,228.872,kevin_magnussen,20.0,Danish,haas,American,2022,10,British Grand Prix,50400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,20.0,8.0,0.0,102159.0,102159.0,102159.0,32,30,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,102159.0,102159.0,102159.0,22,8,130,0,0,0,0,1,0,0,0,2,0,0,0,0,1,0,1,3,0,173.0,82.0,84.0,82.0,81.0 +6.0,10,12,0.0,52,8302822.0,48.0,13.0,93286.0,227.339,latifi,6.0,Canadian,williams,British,2022,10,British Grand Prix,50400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,3.0,10.0,0.0,101998.0,103273.0,123095.0,29,27,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,101998.0,123095.0,109455.33333333331,25,2,49,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,5,0,1,135.0,80.0,76.0,66.0,70.0 +16.0,3,4,12.0,52,8278857.0,52.0,4.0,91282.0,232.33,leclerc,16.0,Monegasque,ferrari,Italian,2022,10,British Grand Prix,50400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,2.0,265.0,2.0,3.0,99846.0,101247.0,101298.0,27,25,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,99846.0,101298.0,100797.0,21,4,91,4,2,0,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,159.0,94.0,91.0,95.0,92.0 +1.0,2,7,6.0,52,8289088.0,44.0,8.0,92354.0,229.633,max_verstappen,33.0,Dutch,red_bull,Austrian,2022,10,British Grand Prix,50400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,6.0,328.0,1.0,7.0,99129.0,100655.0,101055.0,27,25,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,99129.0,101055.0,100279.66666666669,18,7,151,7,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,193.0,98.0,79.0,97.0,94.0 +47.0,19,8,4.0,52,8289306.0,48.0,7.0,92109.0,230.244,mick_schumacher,47.0,German,haas,American,2022,10,British Grand Prix,50400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,20.0,8.0,0.0,102708.0,102708.0,102708.0,25,23,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,102708.0,102708.0,102708.0,22,1,32,0,0,0,0,0,0,0,0,0,0,1,0,1,2,1,0,1,0,116.0,79.0,80.0,79.0,77.0 +4.0,6,6,8.0,52,8282254.0,47.0,6.0,91645.0,231.41,norris,4.0,British,mclaren,British,2022,10,British Grand Prix,50400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,73.0,4.0,0.0,101515.0,101821.0,102084.0,25,23,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,101515.0,102084.0,101806.66666666669,20,3,70,1,0,1,0,1,1,1,1,1,0,0,0,0,0,2,0,0,0,154.0,94.0,82.0,92.0,90.0 +11.0,4,2,18.0,52,8274090.0,47.0,3.0,90937.0,233.212,perez,11.0,Mexican,red_bull,Austrian,2022,10,British Grand Prix,50400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,1.0,328.0,1.0,7.0,100521.0,102513.0,101616.0,34,32,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,100521.0,102513.0,101550.0,21,11,225,5,4,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,1,245.0,89.0,85.0,89.0,88.0 +3.0,14,13,0.0,52,8303128.0,34.0,11.0,92644.0,228.914,ricciardo,3.0,Australian,mclaren,British,2022,10,British Grand Prix,50400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,73.0,4.0,0.0,101933.0,104355.0,104355.0,35,33,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,101933.0,104355.0,103547.66666666669,22,11,220,0,0,0,0,0,1,0,1,0,0,1,1,2,1,0,0,1,1,241.0,88.0,93.0,80.0,83.0 +55.0,1,1,25.0,52,8270311.0,44.0,2.0,90813.0,233.53,sainz,55.0,Spanish,ferrari,Italian,2022,10,British Grand Prix,50400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,265.0,2.0,3.0,100190.0,101602.0,100983.0,30,28,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,100190.0,101602.0,100925.0,21,7,151,5,3,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,193.0,89.0,89.0,87.0,87.0 +18.0,20,11,0.0,52,8296458.0,52.0,9.0,92379.0,229.571,stroll,18.0,Canadian,aston_martin,British,2022,10,British Grand Prix,50400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,18.0,9.0,0.0,103430.0,103430.0,103430.0,26,24,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,103430.0,103430.0,103430.0,19,5,110,0,0,0,0,0,0,0,0,0,3,0,2,1,1,1,1,0,0,159.0,89.0,76.0,77.0,80.0 +22.0,13,14,0.0,52,8311221.0,51.0,15.0,93832.0,226.016,tsunoda,22.0,Japanese,alphatauri,Italian,2022,10,British Grand Prix,50400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,27.0,7.0,0.0,101893.0,104311.0,104311.0,24,22,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,101893.0,104311.0,103505.0,21,1,32,0,0,0,0,0,0,1,1,0,1,0,1,1,0,1,0,1,1,111.0,76.0,74.0,83.0,78.0 +5.0,18,9,2.0,52,8292667.0,52.0,10.0,92471.0,229.343,vettel,5.0,German,aston_martin,British,2022,10,British Grand Prix,50400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,18.0,9.0,0.0,102666.0,102666.0,102666.0,37,35,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,102666.0,102666.0,102666.0,20,15,288,0,0,0,0,0,1,0,1,0,1,1,1,0,0,0,0,1,0,284.0,87.0,92.0,83.0,85.0 +23.0,15,12,0.0,70,,60.0,12.0,69669.0,223.123,albon,23.0,Thai,williams,British,2022,11,Austrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,3.0,10.0,0.0,66516.0,66230.0,66230.0,28,26,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,66230.0,66516.0,66325.33333333333,23,3,49,0,0,0,0,0,0,0,0,1,1,1,1,2,1,0,0,0,2,130.0,90.0,76.0,81.0,82.0 +14.0,19,10,1.0,70,,62.0,3.0,68558.0,226.739,alonso,14.0,Spanish,alpine,French,2022,11,Austrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,81.0,5.0,0.0,66016.0,66082.0,66103.0,43,41,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,66016.0,66103.0,66067.0,25,16,277,0,0,0,0,1,0,2,0,3,0,1,0,0,0,0,1,1,0,317.0,88.0,78.0,89.0,89.0 +77.0,20,11,0.0,70,,61.0,7.0,69266.0,224.421,bottas,77.0,Finnish,alfa,Swiss,2022,11,Austrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,51.0,6.0,0.0,66442.0,66319.0,66319.0,35,33,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,66319.0,66442.0,66360.0,24,9,190,0,0,0,0,1,2,2,1,1,0,1,0,0,0,1,0,1,0,217.0,84.0,93.0,90.0,88.0 +10.0,14,15,0.0,70,,61.0,18.0,70104.0,221.739,gasly,10.0,French,alphatauri,Italian,2022,11,Austrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,27.0,8.0,0.0,66589.0,66160.0,66160.0,28,26,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,66160.0,66589.0,66303.0,21,5,97,0,0,0,0,1,0,0,1,1,0,1,1,1,1,0,1,0,1,145.0,90.0,79.0,84.0,84.0 +44.0,8,3,15.0,71,5105529.0,63.0,5.0,69000.0,225.286,hamilton,44.0,British,mercedes,German,2022,11,Austrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,0.0,237.0,3.0,0.0,66079.0,65474.99999999999,73151.0,39,37,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,65474.99999999999,73151.0,68235.0,22,15,299,3,0,3,2,1,1,0,1,0,1,0,0,1,0,0,0,0,0,293.0,96.0,92.0,93.0,94.0 +20.0,7,8,4.0,70,,61.0,14.0,69938.0,222.265,kevin_magnussen,20.0,Danish,haas,American,2022,11,Austrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,34.0,7.0,0.0,66366.0,65894.0,65879.0,32,30,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,65879.0,66366.0,66046.33333333333,22,8,131,0,0,0,0,1,0,0,0,2,1,0,0,0,1,0,1,3,0,173.0,82.0,84.0,82.0,81.0 +16.0,2,1,25.0,71,5064312.0,62.0,2.0,67583.0,230.01,leclerc,16.0,Monegasque,ferrari,Italian,2022,11,Austrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,2.0,303.0,2.0,4.0,65419.0,65287.00000000001,65013.00000000001,27,25,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,65013.00000000001,65419.0,65239.66666666666,21,4,92,4,2,0,2,1,1,0,0,0,0,0,0,0,0,0,0,0,0,159.0,94.0,91.0,95.0,92.0 +1.0,1,2,19.0,71,5065844.0,62.0,1.0,67275.0,231.063,max_verstappen,33.0,Dutch,red_bull,Austrian,2022,11,Austrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,6.0,359.0,1.0,7.0,65852.0,65373.99999999999,64983.99999999999,27,25,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,64983.99999999999,65852.0,65403.333333333336,18,7,152,7,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,193.0,98.0,79.0,97.0,94.0 +47.0,9,6,8.0,70,,50.0,11.0,69625.0,223.264,mick_schumacher,47.0,German,haas,American,2022,11,Austrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,34.0,7.0,0.0,66405.0,66151.0,66011.0,25,23,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,66011.0,66405.0,66189.0,22,1,33,0,0,0,0,0,0,0,1,0,0,1,0,1,2,1,0,1,0,116.0,79.0,80.0,79.0,77.0 +4.0,10,7,6.0,70,,62.0,8.0,69304.0,224.298,norris,4.0,British,mclaren,British,2022,11,Austrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,81.0,4.0,0.0,66330.0,85847.0,85847.0,25,23,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,66330.0,85847.0,79341.33333333333,20,3,71,1,0,1,0,1,2,1,1,1,0,0,0,0,0,2,0,0,0,154.0,94.0,82.0,92.0,90.0 +31.0,6,5,10.0,71,5132748.0,62.0,10.0,69559.0,223.476,ocon,31.0,French,alpine,French,2022,11,Austrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,0.0,81.0,5.0,0.0,66468.0,65993.0,65726.0,28,26,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,65726.0,66468.0,66062.33333333333,20,6,100,0,0,0,0,0,2,3,1,0,1,0,1,0,1,1,0,0,0,150.0,90.0,76.0,82.0,83.0 +3.0,11,9,2.0,70,,61.0,13.0,69924.0,222.309,ricciardo,3.0,Australian,mclaren,British,2022,11,Austrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,81.0,4.0,0.0,66613.0,66613.0,66613.0,35,33,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,66613.0,66613.0,66613.0,22,11,221,0,0,0,0,0,1,0,1,0,0,1,1,3,1,0,0,1,1,241.0,88.0,93.0,80.0,83.0 +63.0,4,4,12.0,71,5123284.0,61.0,6.0,69075.0,225.042,russell,63.0,British,mercedes,German,2022,11,Austrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,0.0,237.0,3.0,0.0,66235.0,65697.0,65431.0,26,24,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,65431.0,66235.0,65787.66666666667,21,3,71,3,0,3,3,3,0,0,0,0,0,0,0,0,0,0,0,0,1,154.0,90.0,86.0,93.0,90.0 +18.0,12,13,0.0,70,,64.0,17.0,70048.0,221.916,stroll,18.0,Canadian,aston_martin,British,2022,11,Austrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,18.0,9.0,0.0,66847.0,66847.0,66847.0,26,24,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,66847.0,66847.0,66847.0,19,5,111,0,0,0,0,0,0,0,0,0,3,1,2,1,1,1,1,0,0,159.0,89.0,76.0,77.0,80.0 +22.0,16,16,0.0,70,,62.0,16.0,70023.0,221.995,tsunoda,22.0,Japanese,alphatauri,Italian,2022,11,Austrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,27.0,8.0,0.0,66463.0,66851.0,66851.0,24,22,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,66463.0,66851.0,66721.66666666667,21,1,33,0,0,0,0,0,0,1,1,0,1,0,1,1,1,1,0,1,1,111.0,76.0,74.0,83.0,78.0 +5.0,18,17,0.0,70,,62.0,15.0,70001.0,222.065,vettel,5.0,German,aston_martin,British,2022,11,Austrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,18.0,9.0,0.0,67083.0,67083.0,67083.0,37,35,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,67083.0,67083.0,67083.0,20,15,289,0,0,0,0,0,1,0,1,1,1,1,1,0,0,0,0,1,0,284.0,87.0,92.0,83.0,85.0 +24.0,13,14,0.0,70,,50.0,9.0,69380.0,224.053,zhou,24.0,Chinese,alfa,Swiss,2022,11,Austrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,51.0,6.0,0.0,66901.0,66901.0,66901.0,25,23,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,66901.0,66901.0,66901.0,23,0,11,0,0,0,0,0,0,0,1,0,1,2,0,0,0,1,1,0,1,73.0,80.0,73.0,67.0,70.0 +23.0,13,13,0.0,53,5470677.0,53.0,16.0,99199.0,212.01,albon,23.0,Thai,williams,British,2022,12,French Grand Prix,46800000.0,ricard,Le Castellet,France,43.2506,5.79167,432.0,Finished,0.0,3.0,10.0,0.0,93423.0,93307.0,93307.0,28,26,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.842,53.0,309.626,93307.0,93423.0,93345.66666666669,23,3,50,0,0,0,0,0,0,0,0,1,1,1,2,2,1,0,0,0,2,130.0,90.0,76.0,81.0,82.0 +14.0,7,6,8.0,53,5444991.0,53.0,8.0,98160.0,214.254,alonso,14.0,Spanish,alpine,French,2022,12,French Grand Prix,46800000.0,ricard,Le Castellet,France,43.2506,5.79167,432.0,Finished,0.0,93.0,4.0,0.0,92819.0,92631.0,92552.0,43,41,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.842,53.0,309.626,92552.0,92819.0,92667.33333333331,25,16,278,0,0,0,0,1,0,2,0,3,1,1,0,0,0,0,1,1,0,317.0,88.0,78.0,89.0,89.0 +77.0,11,14,0.0,53,5478778.0,52.0,6.0,97963.0,214.685,bottas,77.0,Finnish,alfa,Swiss,2022,12,French Grand Prix,46800000.0,ricard,Le Castellet,France,43.2506,5.79167,432.0,Finished,0.0,51.0,6.0,0.0,93034.0,93052.0,93052.0,35,33,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.842,53.0,309.626,93034.0,93052.0,93046.0,24,9,191,0,0,0,0,1,2,2,1,1,0,2,0,0,0,1,0,1,0,217.0,84.0,93.0,90.0,88.0 +10.0,14,12,0.0,53,5467560.0,53.0,10.0,98786.0,212.896,gasly,10.0,French,alphatauri,Italian,2022,12,French Grand Prix,46800000.0,ricard,Le Castellet,France,43.2506,5.79167,432.0,Finished,0.0,27.0,8.0,0.0,93439.0,93439.0,93439.0,28,26,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.842,53.0,309.626,93439.0,93439.0,93439.0,21,5,98,0,0,0,0,1,0,0,1,1,0,1,1,1,1,1,1,0,1,145.0,90.0,79.0,84.0,84.0 +44.0,4,2,18.0,53,5412699.0,30.0,4.0,97668.0,215.333,hamilton,44.0,British,mercedes,German,2022,12,French Grand Prix,46800000.0,ricard,Le Castellet,France,43.2506,5.79167,432.0,Finished,0.0,270.0,3.0,0.0,93041.0,92274.0,91765.0,39,37,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.842,53.0,309.626,91765.0,93041.0,92360.0,22,15,300,4,0,4,2,1,1,0,1,0,1,0,0,1,0,0,0,0,0,293.0,96.0,92.0,93.0,94.0 +1.0,2,1,25.0,53,5402112.0,30.0,2.0,97491.0,215.724,max_verstappen,33.0,Dutch,red_bull,Austrian,2022,12,French Grand Prix,46800000.0,ricard,Le Castellet,France,43.2506,5.79167,432.0,Finished,6.0,396.0,1.0,8.0,91891.0,91990.0,91176.0,27,25,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.842,53.0,309.626,91176.0,91990.0,91685.66666666669,18,7,153,8,1,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,193.0,98.0,79.0,97.0,94.0 +47.0,17,15,0.0,53,5482506.0,48.0,13.0,99068.0,212.29,mick_schumacher,47.0,German,haas,American,2022,12,French Grand Prix,46800000.0,ricard,Le Castellet,France,43.2506,5.79167,432.0,Finished,0.0,34.0,7.0,0.0,93701.0,93701.0,93701.0,25,23,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.842,53.0,309.626,93701.0,93701.0,93701.0,22,1,34,0,0,0,0,0,1,0,1,0,0,1,0,1,2,1,0,1,0,116.0,79.0,80.0,79.0,77.0 +4.0,5,7,6.0,53,5454138.0,43.0,11.0,99037.0,212.356,norris,4.0,British,mclaren,British,2022,12,French Grand Prix,46800000.0,ricard,Le Castellet,France,43.2506,5.79167,432.0,Finished,0.0,89.0,5.0,0.0,92672.0,92777.0,92032.0,25,23,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.842,53.0,309.626,92032.0,92777.0,92493.66666666669,20,3,72,1,0,1,0,1,2,2,1,1,0,0,0,0,0,2,0,0,0,154.0,94.0,82.0,92.0,90.0 +31.0,10,8,4.0,53,5459071.0,53.0,9.0,98684.0,213.116,ocon,31.0,French,alpine,French,2022,12,French Grand Prix,46800000.0,ricard,Le Castellet,France,43.2506,5.79167,432.0,Finished,0.0,93.0,4.0,0.0,93346.0,93048.0,93048.0,28,26,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.842,53.0,309.626,93048.0,93346.0,93147.33333333331,20,6,101,0,0,0,0,1,2,3,1,0,1,0,1,0,1,1,0,0,0,150.0,90.0,76.0,82.0,83.0 +11.0,3,4,12.0,53,5419422.0,45.0,5.0,97780.0,215.086,perez,11.0,Mexican,red_bull,Austrian,2022,12,French Grand Prix,46800000.0,ricard,Le Castellet,France,43.2506,5.79167,432.0,Finished,1.0,396.0,1.0,8.0,92354.0,92120.0,91335.0,34,32,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.842,53.0,309.626,91335.0,92354.0,91936.33333333331,21,11,227,6,5,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,1,245.0,89.0,85.0,89.0,88.0 +3.0,9,9,2.0,53,5462484.0,27.0,14.0,99133.0,212.151,ricciardo,3.0,Australian,mclaren,British,2022,12,French Grand Prix,46800000.0,ricard,Le Castellet,France,43.2506,5.79167,432.0,Finished,0.0,89.0,5.0,0.0,93404.0,92922.0,92922.0,35,33,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.842,53.0,309.626,92922.0,93404.0,93082.66666666669,22,11,222,0,0,0,0,0,1,0,1,1,0,1,1,3,1,0,0,1,1,241.0,88.0,93.0,80.0,83.0 +63.0,6,3,15.0,53,5418607.0,51.0,3.0,97548.0,215.598,russell,63.0,British,mercedes,German,2022,12,French Grand Prix,46800000.0,ricard,Le Castellet,France,43.2506,5.79167,432.0,Finished,0.0,270.0,3.0,0.0,93109.0,92633.0,92131.0,26,24,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.842,53.0,309.626,92131.0,93109.0,92624.33333333331,21,3,72,3,0,3,4,3,0,0,0,0,0,0,0,0,0,0,0,0,1,154.0,90.0,86.0,93.0,90.0 +55.0,19,5,11.0,53,5430984.0,51.0,1.0,95781.0,219.575,sainz,55.0,Spanish,ferrari,Italian,2022,12,French Grand Prix,46800000.0,ricard,Le Castellet,France,43.2506,5.79167,432.0,Finished,1.0,314.0,2.0,4.0,92297.0,91081.0,91081.0,30,28,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.842,53.0,309.626,91081.0,92297.0,91486.33333333331,21,7,153,6,3,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,193.0,89.0,89.0,87.0,87.0 +18.0,15,10,1.0,53,5464661.0,52.0,15.0,99185.0,212.04,stroll,18.0,Canadian,aston_martin,British,2022,12,French Grand Prix,46800000.0,ricard,Le Castellet,France,43.2506,5.79167,432.0,Finished,0.0,19.0,9.0,0.0,93439.0,93439.0,93439.0,26,24,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.842,53.0,309.626,93439.0,93439.0,93439.0,19,5,112,0,0,0,0,0,0,0,0,0,3,1,2,2,1,1,1,0,0,159.0,89.0,76.0,77.0,80.0 +5.0,12,11,0.0,53,5466606.0,43.0,12.0,99044.0,212.341,vettel,5.0,German,aston_martin,British,2022,12,French Grand Prix,46800000.0,ricard,Le Castellet,France,43.2506,5.79167,432.0,Finished,0.0,19.0,9.0,0.0,93285.0,93276.0,93276.0,37,35,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.842,53.0,309.626,93276.0,93285.0,93279.0,20,15,290,0,0,0,0,0,1,0,1,1,1,1,1,0,0,0,0,2,0,284.0,87.0,92.0,83.0,85.0 +24.0,16,16,0.0,47,,25.0,18.0,99368.0,211.649,zhou,24.0,Chinese,alfa,Swiss,2022,12,French Grand Prix,46800000.0,ricard,Le Castellet,France,43.2506,5.79167,432.0,+6 Laps,0.0,51.0,6.0,0.0,93674.0,93674.0,93674.0,25,23,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.842,53.0,309.626,93674.0,93674.0,93674.0,23,0,12,0,0,0,0,0,0,0,1,0,1,2,0,0,1,1,1,0,1,73.0,80.0,73.0,67.0,70.0 +23.0,17,17,0.0,69,,43.0,12.0,83047.0,189.911,albon,23.0,Thai,williams,British,2022,13,Hungarian Grand Prix,46800000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,3.0,10.0,0.0,79256.0,79256.0,79256.0,28,26,"Overcast with drizzle throughout, light rain at the end",0,0,0,1,1,Race circuit,Clockwise,4.381,70.0,306.63,79256.0,79256.0,79256.0,23,3,51,0,0,0,0,0,0,0,0,1,1,1,2,3,1,0,0,0,2,130.0,90.0,76.0,81.0,82.0 +14.0,6,8,4.0,69,,47.0,18.0,83979.0,187.804,alonso,14.0,Spanish,alpine,French,2022,13,Hungarian Grand Prix,46800000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,99.0,4.0,0.0,78716.0,77904.0,78078.0,43,41,"Overcast with drizzle throughout, light rain at the end",0,0,0,1,1,Race circuit,Clockwise,4.381,70.0,306.63,77904.0,78716.0,78232.66666666667,25,16,279,0,0,0,0,1,1,2,0,3,1,1,0,0,0,0,1,1,0,317.0,88.0,78.0,89.0,89.0 +10.0,20,12,0.0,69,,58.0,14.0,83199.0,189.564,gasly,10.0,French,alphatauri,Italian,2022,13,Hungarian Grand Prix,46800000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,27.0,8.0,0.0,79527.0,79527.0,79527.0,28,26,"Overcast with drizzle throughout, light rain at the end",0,0,0,1,1,Race circuit,Clockwise,4.381,70.0,306.63,79527.0,79527.0,79527.0,21,5,99,0,0,0,0,1,0,0,1,1,0,1,2,1,1,1,1,0,1,145.0,90.0,79.0,84.0,84.0 +44.0,7,2,19.0,70,5983746.0,57.0,1.0,81386.0,193.787,hamilton,44.0,British,mercedes,German,2022,13,Hungarian Grand Prix,46800000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,304.0,3.0,0.0,78374.0,78035.0,78142.0,39,37,"Overcast with drizzle throughout, light rain at the end",0,0,0,1,1,Race circuit,Clockwise,4.381,70.0,306.63,78035.0,78374.0,78183.66666666667,22,15,301,5,1,4,2,1,1,0,1,0,1,0,0,1,0,0,0,0,0,293.0,96.0,92.0,93.0,94.0 +20.0,13,16,0.0,69,,37.0,15.0,83511.0,188.856,kevin_magnussen,20.0,Danish,haas,American,2022,13,Hungarian Grand Prix,46800000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,34.0,7.0,0.0,78993.0,78825.0,78825.0,32,30,"Overcast with drizzle throughout, light rain at the end",0,0,0,1,1,Race circuit,Clockwise,4.381,70.0,306.63,78825.0,78993.0,78881.0,22,8,133,0,0,0,0,1,0,0,1,2,1,0,0,0,1,0,1,3,1,173.0,82.0,84.0,82.0,81.0 +6.0,19,18,0.0,69,,60.0,8.0,82478.0,191.221,latifi,6.0,Canadian,williams,British,2022,13,Hungarian Grand Prix,46800000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,3.0,10.0,0.0,79570.0,79570.0,79570.0,29,27,"Overcast with drizzle throughout, light rain at the end",0,0,0,1,1,Race circuit,Clockwise,4.381,70.0,306.63,79570.0,79570.0,79570.0,25,2,52,0,0,0,0,0,0,0,0,0,0,0,1,0,1,2,5,1,1,135.0,80.0,76.0,66.0,70.0 +16.0,3,6,8.0,70,5991959.0,57.0,2.0,81622.0,193.227,leclerc,16.0,Monegasque,ferrari,Italian,2022,13,Hungarian Grand Prix,46800000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,3.0,334.0,2.0,4.0,78806.0,77768.0,77567.0,27,25,"Overcast with drizzle throughout, light rain at the end",0,0,0,1,1,Race circuit,Clockwise,4.381,70.0,306.63,77567.0,78806.0,78047.0,21,4,94,5,2,0,2,1,1,0,0,0,0,0,0,0,0,0,0,0,0,159.0,94.0,91.0,95.0,92.0 +1.0,10,1,25.0,70,5975912.0,45.0,6.0,82126.0,192.041,max_verstappen,33.0,Dutch,red_bull,Austrian,2022,13,Hungarian Grand Prix,46800000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,7.0,431.0,1.0,9.0,78509.0,77703.0,78823.0,27,25,"Overcast with drizzle throughout, light rain at the end",0,0,0,1,1,Race circuit,Clockwise,4.381,70.0,306.63,77703.0,78823.0,78345.0,18,7,154,9,1,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,193.0,98.0,79.0,97.0,94.0 +47.0,15,14,0.0,69,,50.0,13.0,83151.0,189.674,mick_schumacher,47.0,German,haas,American,2022,13,Hungarian Grand Prix,46800000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,34.0,7.0,0.0,79164.0,79202.0,79202.0,25,23,"Overcast with drizzle throughout, light rain at the end",0,0,0,1,1,Race circuit,Clockwise,4.381,70.0,306.63,79164.0,79202.0,79189.33333333333,22,1,35,0,0,0,0,0,1,0,1,0,0,1,0,1,2,2,0,1,0,116.0,79.0,80.0,79.0,77.0 +4.0,4,7,6.0,70,6054212.0,47.0,11.0,83043.0,189.92,norris,4.0,British,mclaren,British,2022,13,Hungarian Grand Prix,46800000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,95.0,5.0,0.0,78653.0,78121.0,77769.0,25,23,"Overcast with drizzle throughout, light rain at the end",0,0,0,1,1,Race circuit,Clockwise,4.381,70.0,306.63,77769.0,78653.0,78181.0,20,3,73,1,0,1,0,1,2,3,1,1,0,0,0,0,0,2,0,0,0,154.0,94.0,82.0,92.0,90.0 +31.0,5,9,2.0,69,,60.0,20.0,84149.0,187.424,ocon,31.0,French,alpine,French,2022,13,Hungarian Grand Prix,46800000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,99.0,4.0,0.0,78866.0,78216.0,78018.0,28,26,"Overcast with drizzle throughout, light rain at the end",0,0,0,1,1,Race circuit,Clockwise,4.381,70.0,306.63,78018.0,78866.0,78366.66666666667,20,6,102,0,0,0,0,1,2,3,2,0,1,0,1,0,1,1,0,0,0,150.0,90.0,76.0,82.0,83.0 +11.0,11,5,10.0,70,5991600.0,44.0,3.0,81940.0,192.477,perez,11.0,Mexican,red_bull,Austrian,2022,13,Hungarian Grand Prix,46800000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,1.0,431.0,1.0,9.0,79118.0,78516.0,78516.0,34,32,"Overcast with drizzle throughout, light rain at the end",0,0,0,1,1,Race circuit,Clockwise,4.381,70.0,306.63,78516.0,79118.0,78716.66666666667,21,11,228,6,5,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,1,245.0,89.0,85.0,89.0,88.0 +3.0,9,15,0.0,69,,63.0,17.0,83654.0,188.533,ricciardo,3.0,Australian,mclaren,British,2022,13,Hungarian Grand Prix,46800000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,95.0,5.0,0.0,78775.0,78198.0,78379.0,35,33,"Overcast with drizzle throughout, light rain at the end",0,0,0,1,1,Race circuit,Clockwise,4.381,70.0,306.63,78198.0,78775.0,78450.66666666667,22,11,223,0,0,0,0,0,1,0,1,2,0,1,1,3,1,0,0,1,1,241.0,88.0,93.0,80.0,83.0 +63.0,1,3,15.0,70,5988249.0,57.0,9.0,82766.0,190.556,russell,63.0,British,mercedes,German,2022,13,Hungarian Grand Prix,46800000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,304.0,3.0,0.0,78407.0,78154.0,77377.0,26,24,"Overcast with drizzle throughout, light rain at the end",0,0,0,1,1,Race circuit,Clockwise,4.381,70.0,306.63,77377.0,78407.0,77979.33333333333,21,3,73,4,0,4,4,3,0,0,0,0,0,0,0,0,0,0,0,0,1,154.0,90.0,86.0,93.0,90.0 +55.0,2,4,12.0,70,5990491.0,51.0,4.0,82000.0,192.336,sainz,55.0,Spanish,ferrari,Italian,2022,13,Hungarian Grand Prix,46800000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,1.0,334.0,2.0,4.0,78434.0,77946.0,77421.0,30,28,"Overcast with drizzle throughout, light rain at the end",0,0,0,1,1,Race circuit,Clockwise,4.381,70.0,306.63,77421.0,78434.0,77933.66666666667,21,7,154,6,3,2,1,1,0,0,0,0,0,0,0,0,0,0,0,0,1,193.0,89.0,89.0,87.0,87.0 +18.0,14,11,0.0,69,,51.0,7.0,82437.0,191.317,stroll,18.0,Canadian,aston_martin,British,2022,13,Hungarian Grand Prix,46800000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,20.0,9.0,0.0,79205.0,79137.0,79137.0,26,24,"Overcast with drizzle throughout, light rain at the end",0,0,0,1,1,Race circuit,Clockwise,4.381,70.0,306.63,79137.0,79205.0,79159.66666666667,19,5,113,0,0,0,0,0,0,0,0,0,4,1,2,2,1,1,1,0,0,159.0,89.0,76.0,77.0,80.0 +22.0,16,19,0.0,68,,58.0,16.0,83538.0,188.795,tsunoda,22.0,Japanese,alphatauri,Italian,2022,13,Hungarian Grand Prix,46800000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+2 Laps,0.0,27.0,8.0,0.0,79240.0,79240.0,79240.0,24,22,"Overcast with drizzle throughout, light rain at the end",0,0,0,1,1,Race circuit,Clockwise,4.381,70.0,306.63,79240.0,79240.0,79240.0,21,1,35,0,0,0,0,0,0,1,1,0,1,0,1,1,1,1,1,1,1,111.0,76.0,74.0,83.0,78.0 +5.0,18,10,1.0,69,,51.0,10.0,82824.0,190.423,vettel,5.0,German,aston_martin,British,2022,13,Hungarian Grand Prix,46800000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,20.0,9.0,0.0,79273.0,79273.0,79273.0,37,35,"Overcast with drizzle throughout, light rain at the end",0,0,0,1,1,Race circuit,Clockwise,4.381,70.0,306.63,79273.0,79273.0,79273.0,20,15,291,0,0,0,0,0,1,0,1,1,1,2,1,0,0,0,0,2,0,284.0,87.0,92.0,83.0,85.0 +24.0,12,13,0.0,69,,58.0,5.0,82029.0,192.268,zhou,24.0,Chinese,alfa,Swiss,2022,13,Hungarian Grand Prix,46800000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,51.0,6.0,0.0,78973.0,78573.0,78573.0,25,23,"Overcast with drizzle throughout, light rain at the end",0,0,0,1,1,Race circuit,Clockwise,4.381,70.0,306.63,78573.0,78973.0,78706.33333333333,23,0,13,0,0,0,0,0,0,0,1,0,1,2,0,0,1,1,2,0,1,73.0,80.0,73.0,67.0,70.0 +23.0,6,10,1.0,44,5254794.0,28.0,16.0,113055.0,223.027,albon,23.0,Thai,williams,British,2022,14,Belgian Grand Prix,46800000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,4.0,10.0,0.0,105672.0,105675.0,105837.0,28,26,Sunny,1,0,0,0,0,Race circuit,Clockwise,7.004,44.0,308.052,105672.0,105837.0,105728.0,23,3,52,0,0,0,0,0,0,0,0,1,1,1,2,3,1,0,0,1,2,130.0,90.0,76.0,81.0,82.0 +14.0,3,5,10.0,44,5226150.0,35.0,13.0,112868.0,223.397,alonso,14.0,Spanish,alpine,French,2022,14,Belgian Grand Prix,46800000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,115.0,4.0,0.0,106075.0,105552.0,105368.0,43,41,Sunny,1,0,0,0,0,Race circuit,Clockwise,7.004,44.0,308.052,105368.0,106075.0,105665.0,25,16,280,0,0,0,0,1,1,2,1,3,1,1,0,0,0,0,1,1,0,317.0,88.0,78.0,89.0,89.0 +10.0,20,9,2.0,44,5245075.0,24.0,15.0,113002.0,223.132,gasly,10.0,French,alphatauri,Italian,2022,14,Belgian Grand Prix,46800000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,29.0,8.0,0.0,106183.0,105827.0,105827.0,28,26,Sunny,1,0,0,0,0,Race circuit,Clockwise,7.004,44.0,308.052,105827.0,106183.0,105945.66666666669,21,5,100,0,0,0,0,1,0,0,1,1,0,1,3,1,1,1,1,0,1,145.0,90.0,79.0,84.0,84.0 +20.0,12,16,0.0,43,,29.0,18.0,113332.0,222.482,kevin_magnussen,20.0,Danish,haas,American,2022,14,Belgian Grand Prix,46800000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,+1 Lap,0.0,34.0,7.0,0.0,106557.0,106557.0,106557.0,32,30,Sunny,1,0,0,0,0,Race circuit,Clockwise,7.004,44.0,308.052,106557.0,106557.0,106557.0,22,8,134,0,0,0,0,1,0,0,1,2,1,0,0,0,1,0,2,3,1,173.0,82.0,84.0,82.0,81.0 +6.0,11,18,0.0,43,,38.0,8.0,112256.0,224.615,latifi,6.0,Canadian,williams,British,2022,14,Belgian Grand Prix,46800000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,+1 Lap,0.0,4.0,10.0,0.0,106401.0,106401.0,106401.0,29,27,Sunny,1,0,0,0,0,Race circuit,Clockwise,7.004,44.0,308.052,106401.0,106401.0,106401.0,25,2,53,0,0,0,0,0,0,0,0,0,0,0,1,0,1,2,5,1,2,135.0,80.0,76.0,66.0,70.0 +16.0,15,6,8.0,44,5227830.0,44.0,2.0,109984.0,229.255,leclerc,16.0,Monegasque,ferrari,Italian,2022,14,Belgian Grand Prix,46800000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,3.0,357.0,2.0,4.0,105572.0,104551.0,104553.0,27,25,Sunny,1,0,0,0,0,Race circuit,Clockwise,7.004,44.0,308.052,104551.0,105572.0,104892.0,21,4,95,5,2,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,159.0,94.0,91.0,95.0,92.0 +1.0,14,1,26.0,44,5152894.0,32.0,1.0,109354.0,230.575,max_verstappen,33.0,Dutch,red_bull,Austrian,2022,14,Belgian Grand Prix,46800000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,8.0,475.0,1.0,10.0,104581.0,104723.0,103665.0,27,25,Sunny,1,0,0,0,0,Race circuit,Clockwise,7.004,44.0,308.052,103665.0,104723.0,104323.0,18,7,155,10,1,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,193.0,98.0,79.0,97.0,94.0 +47.0,19,17,0.0,43,,35.0,12.0,112646.0,223.837,mick_schumacher,47.0,German,haas,American,2022,14,Belgian Grand Prix,46800000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,+1 Lap,0.0,34.0,7.0,0.0,106342.0,107718.0,107718.0,25,23,Sunny,1,0,0,0,0,Race circuit,Clockwise,7.004,44.0,308.052,106342.0,107718.0,107259.33333333331,22,1,36,0,0,0,0,0,1,0,1,0,0,1,0,1,3,2,0,1,0,116.0,79.0,80.0,79.0,77.0 +4.0,17,12,0.0,44,5257633.0,31.0,5.0,111678.0,225.777,norris,4.0,British,mclaren,British,2022,14,Belgian Grand Prix,46800000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,95.0,5.0,0.0,105745.0,105603.0,106178.0,25,23,Sunny,1,0,0,0,0,Race circuit,Clockwise,7.004,44.0,308.052,105603.0,106178.0,105842.0,20,3,74,1,0,1,0,1,2,4,1,1,0,0,0,0,0,2,0,0,0,154.0,94.0,82.0,92.0,90.0 +31.0,16,7,6.0,44,5228534.0,36.0,6.0,111717.0,225.698,ocon,31.0,French,alpine,French,2022,14,Belgian Grand Prix,46800000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,115.0,4.0,0.0,106039.0,105475.0,105180.0,28,26,Sunny,1,0,0,0,0,Race circuit,Clockwise,7.004,44.0,308.052,105180.0,106039.0,105564.66666666669,20,6,103,0,0,0,0,1,2,3,2,1,1,0,1,0,1,1,0,0,0,150.0,90.0,76.0,82.0,83.0 +11.0,2,2,18.0,44,5170735.0,29.0,3.0,110764.0,227.64,perez,11.0,Mexican,red_bull,Austrian,2022,14,Belgian Grand Prix,46800000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,1.0,475.0,1.0,10.0,105377.0,104794.0,104462.0,34,32,Sunny,1,0,0,0,0,Race circuit,Clockwise,7.004,44.0,308.052,104462.0,105377.0,104877.66666666669,21,11,229,6,5,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,1,245.0,89.0,85.0,89.0,88.0 +3.0,7,15,0.0,44,5260057.0,34.0,17.0,113080.0,222.978,ricciardo,3.0,Australian,mclaren,British,2022,14,Belgian Grand Prix,46800000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,95.0,5.0,0.0,106212.0,105767.0,105767.0,35,33,Sunny,1,0,0,0,0,Race circuit,Clockwise,7.004,44.0,308.052,105767.0,106212.0,105915.33333333331,22,11,224,0,0,0,0,0,1,0,1,2,0,1,1,3,1,1,0,1,1,241.0,88.0,93.0,80.0,83.0 +63.0,5,4,12.0,44,5182034.0,31.0,4.0,110793.0,227.581,russell,63.0,British,mercedes,German,2022,14,Belgian Grand Prix,46800000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,316.0,3.0,0.0,105650.0,105461.0,105776.0,26,24,Sunny,1,0,0,0,0,Race circuit,Clockwise,7.004,44.0,308.052,105461.0,105776.0,105629.0,21,3,74,5,0,5,4,3,0,0,0,0,0,0,0,0,0,0,0,0,1,154.0,90.0,86.0,93.0,90.0 +55.0,1,3,15.0,44,5179780.0,32.0,7.0,111977.0,225.174,sainz,55.0,Spanish,ferrari,Italian,2022,14,Belgian Grand Prix,46800000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,1.0,357.0,2.0,4.0,105050.0,105418.0,104297.0,30,28,Sunny,1,0,0,0,0,Race circuit,Clockwise,7.004,44.0,308.052,104297.0,105418.0,104921.66666666669,21,7,155,6,3,2,2,1,0,0,0,0,0,0,0,0,0,0,0,0,1,193.0,89.0,89.0,87.0,87.0 +18.0,9,11,0.0,44,5255972.0,29.0,14.0,112880.0,223.373,stroll,18.0,Canadian,aston_martin,British,2022,14,Belgian Grand Prix,46800000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,24.0,9.0,0.0,106256.0,106611.0,106611.0,26,24,Sunny,1,0,0,0,0,Race circuit,Clockwise,7.004,44.0,308.052,106256.0,106611.0,106492.66666666669,19,5,114,0,0,0,0,0,0,0,0,0,4,2,2,2,1,1,1,0,0,159.0,89.0,76.0,77.0,80.0 +22.0,20,13,0.0,44,5258111.0,32.0,10.0,112436.0,224.255,tsunoda,22.0,Japanese,alphatauri,Italian,2022,14,Belgian Grand Prix,46800000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,29.0,8.0,0.0,106692.0,106692.0,106692.0,24,22,Sunny,1,0,0,0,0,Race circuit,Clockwise,7.004,44.0,308.052,106692.0,106692.0,106692.0,21,1,36,0,0,0,0,0,0,1,1,0,1,0,1,1,1,1,1,1,1,111.0,76.0,74.0,83.0,78.0 +5.0,10,8,4.0,44,5231001.0,40.0,11.0,112515.0,224.098,vettel,5.0,German,aston_martin,British,2022,14,Belgian Grand Prix,46800000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,24.0,9.0,0.0,106344.0,106344.0,106344.0,37,35,Sunny,1,0,0,0,0,Race circuit,Clockwise,7.004,44.0,308.052,106344.0,106344.0,106344.0,20,15,292,0,0,0,0,0,1,0,1,1,2,2,1,0,0,0,0,2,0,284.0,87.0,92.0,83.0,85.0 +24.0,18,14,0.0,44,5259146.0,30.0,9.0,112317.0,224.493,zhou,24.0,Chinese,alfa,Swiss,2022,14,Belgian Grand Prix,46800000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,51.0,6.0,0.0,106178.0,106085.0,106085.0,25,23,Sunny,1,0,0,0,0,Race circuit,Clockwise,7.004,44.0,308.052,106085.0,106178.0,106116.0,23,0,14,0,0,0,0,0,0,0,1,0,1,2,0,1,1,1,2,0,1,73.0,80.0,73.0,67.0,70.0 +23.0,15,12,0.0,72,5833163.0,65.0,15.0,75534.0,202.986,albon,23.0,Thai,williams,British,2022,15,Dutch Grand Prix,46800000.0,zandvoort,Zandvoort,Netherlands,52.3888,4.54092,6.0,Finished,0.0,4.0,10.0,0.0,71695.0,71802.0,71802.0,28,26,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.259,72.0,306.587,71695.0,71802.0,71766.33333333333,23,3,53,0,0,0,0,0,0,0,0,1,2,1,2,3,1,0,0,1,2,130.0,90.0,76.0,81.0,82.0 +14.0,13,6,8.0,72,5821527.0,51.0,4.0,74144.0,206.792,alonso,14.0,Spanish,alpine,French,2022,15,Dutch Grand Prix,46800000.0,zandvoort,Zandvoort,Netherlands,52.3888,4.54092,6.0,Finished,0.0,125.0,4.0,0.0,71667.0,71613.0,71613.0,43,41,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.259,72.0,306.587,71613.0,71667.0,71631.0,25,16,281,0,0,0,0,2,1,2,1,3,1,1,0,0,0,0,1,1,0,317.0,88.0,78.0,89.0,89.0 +10.0,11,11,0.0,72,5829782.0,65.0,12.0,75165.0,203.983,gasly,10.0,French,alphatauri,Italian,2022,15,Dutch Grand Prix,46800000.0,zandvoort,Zandvoort,Netherlands,52.3888,4.54092,6.0,Finished,0.0,29.0,8.0,0.0,71705.0,71512.0,71512.0,28,26,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.259,72.0,306.587,71512.0,71705.0,71576.33333333333,21,5,101,0,0,0,0,1,0,0,1,2,0,1,3,1,1,1,1,0,1,145.0,90.0,79.0,84.0,84.0 +44.0,4,4,12.0,72,5815789.0,54.0,3.0,73854.0,207.604,hamilton,44.0,British,mercedes,German,2022,15,Dutch Grand Prix,46800000.0,zandvoort,Zandvoort,Netherlands,52.3888,4.54092,6.0,Finished,0.0,346.0,3.0,0.0,71331.0,71075.0,70648.0,39,37,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.259,72.0,306.587,70648.0,71331.0,71018.0,22,15,303,6,2,4,2,1,1,0,1,0,1,0,0,1,0,0,0,0,0,293.0,96.0,92.0,93.0,94.0 +20.0,18,15,0.0,72,5839642.0,53.0,14.0,75369.0,203.431,kevin_magnussen,20.0,Danish,haas,American,2022,15,Dutch Grand Prix,46800000.0,zandvoort,Zandvoort,Netherlands,52.3888,4.54092,6.0,Finished,0.0,34.0,7.0,0.0,72319.0,72319.0,72319.0,32,30,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.259,72.0,306.587,72319.0,72319.0,72319.0,22,8,135,0,0,0,0,1,0,0,1,2,1,0,0,0,1,0,3,3,1,173.0,82.0,84.0,82.0,81.0 +6.0,20,18,0.0,71,,62.0,18.0,76066.0,201.567,latifi,6.0,Canadian,williams,British,2022,15,Dutch Grand Prix,46800000.0,zandvoort,Zandvoort,Netherlands,52.3888,4.54092,6.0,+1 Lap,0.0,4.0,10.0,0.0,73353.0,73353.0,73353.0,29,27,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.259,72.0,306.587,73353.0,73353.0,73353.0,25,2,54,0,0,0,0,0,0,0,0,0,0,0,1,0,1,2,5,1,3,135.0,80.0,76.0,66.0,70.0 +16.0,2,3,15.0,72,5813702.0,62.0,6.0,74413.0,206.044,leclerc,16.0,Monegasque,ferrari,Italian,2022,15,Dutch Grand Prix,46800000.0,zandvoort,Zandvoort,Netherlands,52.3888,4.54092,6.0,Finished,3.0,376.0,2.0,4.0,71443.0,70988.0,70363.0,27,25,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.259,72.0,306.587,70363.0,71443.0,70931.33333333333,21,4,96,5,2,0,2,1,3,0,0,0,0,0,0,0,0,0,0,0,0,159.0,94.0,91.0,95.0,92.0 +1.0,1,1,26.0,72,5802773.0,62.0,1.0,73652.0,208.173,max_verstappen,33.0,Dutch,red_bull,Austrian,2022,15,Dutch Grand Prix,46800000.0,zandvoort,Zandvoort,Netherlands,52.3888,4.54092,6.0,Finished,9.0,511.0,1.0,11.0,71317.0,70927.0,70342.0,27,25,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.259,72.0,306.587,70342.0,71317.0,70862.0,18,7,156,11,1,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,193.0,98.0,79.0,97.0,94.0 +47.0,8,13,0.0,72,5835768.0,51.0,13.0,75233.0,203.798,mick_schumacher,47.0,German,haas,American,2022,15,Dutch Grand Prix,46800000.0,zandvoort,Zandvoort,Netherlands,52.3888,4.54092,6.0,Finished,0.0,34.0,7.0,0.0,71741.0,71420.0,71442.0,25,23,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.259,72.0,306.587,71420.0,71741.0,71534.33333333333,22,1,37,0,0,0,0,0,1,0,1,0,0,1,0,1,3,2,0,2,0,116.0,79.0,80.0,79.0,77.0 +4.0,7,7,6.0,72,5822079.0,63.0,8.0,74706.0,205.236,norris,4.0,British,mclaren,British,2022,15,Dutch Grand Prix,46800000.0,zandvoort,Zandvoort,Netherlands,52.3888,4.54092,6.0,Finished,0.0,101.0,5.0,0.0,71556.0,71116.0,71174.0,25,23,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.259,72.0,306.587,71116.0,71556.0,71282.0,20,3,75,1,0,1,0,1,2,4,1,1,0,0,1,0,0,2,0,0,0,154.0,94.0,82.0,92.0,90.0 +31.0,12,9,2.0,72,5823890.0,64.0,11.0,75084.0,204.203,ocon,31.0,French,alpine,French,2022,15,Dutch Grand Prix,46800000.0,zandvoort,Zandvoort,Netherlands,52.3888,4.54092,6.0,Finished,0.0,125.0,4.0,0.0,71748.0,71605.0,71605.0,28,26,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.259,72.0,306.587,71605.0,71748.0,71652.66666666667,20,6,104,0,0,0,0,1,2,4,2,1,1,0,1,0,1,1,0,0,0,150.0,90.0,76.0,82.0,83.0 +11.0,5,5,10.0,72,5820941.0,63.0,5.0,74404.0,206.069,perez,11.0,Mexican,red_bull,Austrian,2022,15,Dutch Grand Prix,46800000.0,zandvoort,Zandvoort,Netherlands,52.3888,4.54092,6.0,Finished,1.0,511.0,1.0,11.0,71641.0,71314.0,71077.0,34,32,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.259,72.0,306.587,71077.0,71641.0,71344.0,21,11,230,7,6,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,1,245.0,89.0,85.0,89.0,88.0 +3.0,17,17,0.0,72,5840537.0,52.0,16.0,75577.0,202.871,ricciardo,3.0,Australian,mclaren,British,2022,15,Dutch Grand Prix,46800000.0,zandvoort,Zandvoort,Netherlands,52.3888,4.54092,6.0,Finished,0.0,101.0,5.0,0.0,72081.0,72081.0,72081.0,35,33,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.259,72.0,306.587,72081.0,72081.0,72081.0,22,11,225,0,0,0,0,0,1,0,1,2,0,1,1,3,1,2,0,1,1,241.0,88.0,93.0,80.0,83.0 +63.0,6,2,18.0,72,5806844.0,72.0,2.0,73671.0,208.119,russell,63.0,British,mercedes,German,2022,15,Dutch Grand Prix,46800000.0,zandvoort,Zandvoort,Netherlands,52.3888,4.54092,6.0,Finished,0.0,346.0,3.0,0.0,71561.0,70824.0,71147.0,26,24,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.259,72.0,306.587,70824.0,71561.0,71177.33333333333,21,3,75,5,0,5,5,3,0,0,0,0,0,0,0,0,0,0,0,0,1,154.0,90.0,86.0,93.0,90.0 +55.0,3,8,4.0,72,5823689.0,63.0,7.0,74643.0,205.409,sainz,55.0,Spanish,ferrari,Italian,2022,15,Dutch Grand Prix,46800000.0,zandvoort,Zandvoort,Netherlands,52.3888,4.54092,6.0,Finished,1.0,376.0,2.0,4.0,71767.0,70814.0,70434.0,30,28,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.259,72.0,306.587,70434.0,71767.0,71005.0,21,7,156,7,3,3,2,1,0,0,0,0,0,0,0,0,0,0,0,0,1,193.0,89.0,89.0,87.0,87.0 +18.0,10,10,1.0,72,5825232.0,65.0,10.0,75043.0,204.314,stroll,18.0,Canadian,aston_martin,British,2022,15,Dutch Grand Prix,46800000.0,zandvoort,Zandvoort,Netherlands,52.3888,4.54092,6.0,Finished,0.0,25.0,9.0,0.0,71568.0,71416.0,71416.0,26,24,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.259,72.0,306.587,71416.0,71568.0,71466.66666666667,19,5,115,0,0,0,0,0,0,0,0,0,4,3,2,2,1,1,1,0,0,159.0,89.0,76.0,77.0,80.0 +5.0,19,14,0.0,72,5838780.0,50.0,9.0,74862.0,204.808,vettel,5.0,German,aston_martin,British,2022,15,Dutch Grand Prix,46800000.0,zandvoort,Zandvoort,Netherlands,52.3888,4.54092,6.0,Finished,0.0,25.0,9.0,0.0,72391.0,72391.0,72391.0,37,35,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.259,72.0,306.587,72391.0,72391.0,72391.0,20,15,293,0,0,0,0,0,1,0,2,1,2,2,1,0,0,0,0,2,0,284.0,87.0,92.0,83.0,85.0 +24.0,14,16,0.0,72,5840093.0,63.0,17.0,75940.0,201.901,zhou,24.0,Chinese,alfa,Swiss,2022,15,Dutch Grand Prix,46800000.0,zandvoort,Zandvoort,Netherlands,52.3888,4.54092,6.0,Finished,0.0,51.0,6.0,0.0,71826.0,71704.0,71704.0,25,23,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.259,72.0,306.587,71704.0,71826.0,71744.66666666667,23,0,15,0,0,0,0,0,0,0,1,0,1,2,0,1,2,1,2,0,1,73.0,80.0,73.0,67.0,70.0 +77.0,15,13,0.0,52,,45.0,9.0,85706.0,243.329,bottas,77.0,Finnish,alfa,Swiss,2022,16,Italian Grand Prix,46800000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,52.0,6.0,0.0,82254.0,82235.0,82235.0,35,33,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,82235.0,82254.0,82241.33333333333,24,9,195,0,0,0,0,1,2,2,1,1,0,2,0,0,1,1,0,1,0,217.0,84.0,93.0,90.0,88.0 +45.0,8,9,2.0,53,4834633.0,41.0,13.0,86624.0,240.75,de_vries,21.0,Dutch,williams,British,2022,16,Italian Grand Prix,46800000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,6.0,10.0,0.0,82567.0,82471.0,82471.0,29,27,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,82471.0,82567.0,82503.0,27,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,58.0,72.0,78.0,73.0,72.0 +10.0,5,8,4.0,53,4833907.0,30.0,14.0,86718.0,240.489,gasly,10.0,French,alphatauri,Italian,2022,16,Italian Grand Prix,46800000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,33.0,8.0,0.0,82010.0,82062.0,82648.0,28,26,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,82010.0,82648.0,82240.0,21,5,102,0,0,0,0,1,0,0,1,2,0,2,3,1,1,1,1,0,1,145.0,90.0,79.0,84.0,84.0 +44.0,19,5,10.0,53,4832891.0,43.0,3.0,84434.0,246.995,hamilton,44.0,British,mercedes,German,2022,16,Italian Grand Prix,46800000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,371.0,3.0,0.0,82048.0,81708.0,81524.0,39,37,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,81524.0,82048.0,81760.0,22,15,304,6,2,4,3,1,1,0,1,0,1,0,0,1,0,0,0,0,0,293.0,96.0,92.0,93.0,94.0 +20.0,16,16,0.0,52,,37.0,16.0,86798.0,240.268,kevin_magnussen,20.0,Danish,haas,American,2022,16,Italian Grand Prix,46800000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,34.0,7.0,0.0,82908.0,82908.0,82908.0,32,30,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,82908.0,82908.0,82908.0,22,8,136,0,0,0,0,1,0,0,1,2,1,0,0,0,1,1,3,3,1,173.0,82.0,84.0,82.0,81.0 +6.0,10,15,0.0,52,,17.0,15.0,86798.0,240.268,latifi,6.0,Canadian,williams,British,2022,16,Italian Grand Prix,46800000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,6.0,10.0,0.0,82587.0,82587.0,82587.0,29,27,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,82587.0,82587.0,82587.0,25,2,55,0,0,0,0,0,0,0,0,0,0,0,1,0,1,2,5,1,4,135.0,80.0,76.0,66.0,70.0 +16.0,1,2,18.0,53,4829957.0,38.0,2.0,84336.0,247.282,leclerc,16.0,Monegasque,ferrari,Italian,2022,16,Italian Grand Prix,46800000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,3.0,406.0,2.0,4.0,81280.0,81208.0,80161.0,27,25,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,80161.0,81280.0,80883.0,21,4,97,6,2,1,2,1,3,0,0,0,0,0,0,0,0,0,0,0,0,159.0,94.0,91.0,95.0,92.0 +1.0,7,1,25.0,53,4827511.0,38.0,6.0,84745.0,246.088,max_verstappen,33.0,Dutch,red_bull,Austrian,2022,16,Italian Grand Prix,46800000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,10.0,545.0,1.0,12.0,80922.0,81265.0,80306.0,27,25,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,80306.0,81265.0,80831.0,18,7,157,12,1,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,193.0,98.0,79.0,97.0,94.0 +47.0,17,12,0.0,53,4836060.0,43.0,8.0,85298.0,244.493,mick_schumacher,47.0,German,haas,American,2022,16,Italian Grand Prix,46800000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,34.0,7.0,0.0,83005.0,83005.0,83005.0,25,23,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,83005.0,83005.0,83005.0,22,1,38,0,0,0,0,0,1,0,1,0,0,1,0,2,3,2,0,2,0,116.0,79.0,80.0,79.0,77.0 +4.0,3,7,6.0,53,4833718.0,43.0,5.0,84718.0,246.167,norris,4.0,British,mclaren,British,2022,16,Italian Grand Prix,46800000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,107.0,5.0,0.0,82130.0,81831.0,81584.0,25,23,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,81584.0,82130.0,81848.33333333333,20,3,76,1,0,1,0,1,2,5,1,1,0,0,1,0,0,2,0,0,0,154.0,94.0,82.0,92.0,90.0 +31.0,14,11,0.0,53,4835834.0,37.0,11.0,86593.0,240.837,ocon,31.0,French,alpine,French,2022,16,Italian Grand Prix,46800000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,125.0,4.0,0.0,82166.0,82130.0,82130.0,28,26,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,82130.0,82166.0,82142.0,20,6,105,0,0,0,0,1,2,4,2,2,1,0,1,0,1,1,0,0,0,150.0,90.0,76.0,82.0,83.0 +11.0,13,6,9.0,53,4833602.0,46.0,1.0,84030.0,248.182,perez,11.0,Mexican,red_bull,Austrian,2022,16,Italian Grand Prix,46800000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,1.0,545.0,1.0,12.0,81495.0,81358.0,81206.0,34,32,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,81206.0,81495.0,81353.0,21,11,231,7,6,0,3,2,0,0,0,0,0,0,0,0,0,0,0,0,1,245.0,89.0,85.0,89.0,88.0 +63.0,2,3,15.0,53,4830916.0,40.0,7.0,85288.0,244.522,russell,63.0,British,mercedes,German,2022,16,Italian Grand Prix,46800000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,371.0,3.0,0.0,81785.0,81747.0,81542.0,26,24,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,81542.0,81785.0,81691.33333333333,21,3,76,6,1,5,5,3,0,0,0,0,0,0,0,0,0,0,0,0,1,154.0,90.0,86.0,93.0,90.0 +55.0,18,4,12.0,53,4832572.0,41.0,4.0,84446.0,246.96,sainz,55.0,Spanish,ferrari,Italian,2022,16,Italian Grand Prix,46800000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,1.0,406.0,2.0,4.0,81348.0,80878.0,80429.0,30,28,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,80429.0,81348.0,80885.0,21,7,157,7,3,3,2,1,0,0,1,0,0,0,0,0,0,0,0,0,1,193.0,89.0,89.0,87.0,87.0 +22.0,20,14,0.0,52,,43.0,17.0,86857.0,240.105,tsunoda,22.0,Japanese,alphatauri,Italian,2022,16,Italian Grand Prix,46800000.0,monza,Monza,Italy,45.6156,9.28111,162.0,+1 Lap,0.0,33.0,8.0,0.0,82020.0,82020.0,82020.0,24,22,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,82020.0,82020.0,82020.0,21,1,38,0,0,0,0,0,0,1,1,0,1,0,1,2,1,1,1,1,1,111.0,76.0,74.0,83.0,78.0 +24.0,9,10,1.0,53,4835421.0,41.0,10.0,86361.0,241.484,zhou,24.0,Chinese,alfa,Swiss,2022,16,Italian Grand Prix,46800000.0,monza,Monza,Italy,45.6156,9.28111,162.0,Finished,0.0,52.0,6.0,0.0,82003.0,82577.0,82577.0,25,23,Sunny,1,0,0,0,0,Race circuit,Clockwise,5.793,51.0,295.134,82003.0,82577.0,82385.66666666667,23,0,16,0,0,0,0,0,0,0,1,0,1,2,0,1,2,1,3,0,1,73.0,80.0,73.0,67.0,70.0 +77.0,15,11,0.0,59,7429082.0,52.0,13.0,111864.0,162.937,bottas,77.0,Finnish,alfa,Swiss,2022,17,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,52.0,6.0,0.0,116083.0,116083.0,116083.0,35,33,Partly cloudy in a wet and drying track,0,0,1,1,1,Street circuit,Anti-clockwise,4.94,62.0,306.143,116083.0,116083.0,116083.0,24,9,196,0,0,0,0,1,2,2,1,1,0,2,0,1,1,1,0,1,0,217.0,84.0,93.0,90.0,88.0 +10.0,7,10,1.0,59,7409814.0,56.0,9.0,110569.0,164.845,gasly,10.0,French,alphatauri,Italian,2022,17,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,34.0,9.0,0.0,115606.0,113546.0,111211.0,28,26,Partly cloudy in a wet and drying track,0,0,1,1,1,Street circuit,Anti-clockwise,4.94,62.0,306.143,111211.0,115606.0,113454.33333333331,21,5,103,0,0,0,0,1,0,0,2,2,0,2,3,1,1,1,1,0,1,145.0,90.0,79.0,84.0,84.0 +44.0,3,9,2.0,59,7401753.0,58.0,10.0,110622.0,164.766,hamilton,44.0,British,mercedes,German,2022,17,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,373.0,3.0,0.0,113161.0,112691.0,109466.0,39,37,Partly cloudy in a wet and drying track,0,0,1,1,1,Street circuit,Anti-clockwise,4.94,62.0,306.143,109466.0,113161.0,111772.66666666669,22,15,305,6,2,4,3,2,1,0,1,0,1,0,0,1,0,0,0,0,0,293.0,96.0,92.0,93.0,94.0 +20.0,9,12,0.0,59,7432848.0,59.0,14.0,112067.0,162.641,kevin_magnussen,20.0,Danish,haas,American,2022,17,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,34.0,8.0,0.0,115103.0,114006.0,111573.0,32,30,Partly cloudy in a wet and drying track,0,0,1,1,1,Street circuit,Anti-clockwise,4.94,62.0,306.143,111573.0,115103.0,113560.66666666669,22,8,137,0,0,0,0,1,0,0,1,2,1,0,0,0,1,1,4,3,1,173.0,82.0,84.0,82.0,81.0 +16.0,1,2,18.0,59,7342833.0,54.0,4.0,108753.0,167.598,leclerc,16.0,Monegasque,ferrari,Italian,2022,17,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,3.0,439.0,2.0,4.0,114129.0,112343.0,109412.0,27,25,Partly cloudy in a wet and drying track,0,0,1,1,1,Street circuit,Anti-clockwise,4.94,62.0,306.143,109412.0,114129.0,111961.33333333331,21,4,98,7,3,1,2,1,3,0,0,0,0,0,0,0,0,0,0,0,0,159.0,94.0,91.0,95.0,92.0 +1.0,8,7,6.0,59,7399063.0,52.0,5.0,109142.0,167.0,max_verstappen,33.0,Dutch,red_bull,Austrian,2022,17,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,11.0,576.0,1.0,13.0,113057.0,112723.0,111395.0,27,25,Partly cloudy in a wet and drying track,0,0,1,1,1,Street circuit,Anti-clockwise,4.94,62.0,306.143,111395.0,113057.0,112391.66666666669,18,7,158,13,1,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,193.0,98.0,79.0,97.0,94.0 +47.0,12,13,0.0,58,,58.0,8.0,110290.0,165.262,mick_schumacher,47.0,German,haas,American,2022,17,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,+1 Lap,0.0,34.0,8.0,0.0,115736.0,114370.0,114370.0,25,23,Partly cloudy in a wet and drying track,0,0,1,1,1,Street circuit,Anti-clockwise,4.94,62.0,306.143,114370.0,115736.0,114825.33333333331,22,1,39,0,0,0,0,0,1,0,1,0,0,1,1,2,3,2,0,2,0,116.0,79.0,80.0,79.0,77.0 +4.0,6,4,12.0,59,7361371.0,56.0,6.0,109212.0,166.893,norris,4.0,British,mclaren,British,2022,17,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,129.0,4.0,0.0,115914.0,113942.0,110584.0,25,23,Partly cloudy in a wet and drying track,0,0,1,1,1,Street circuit,Anti-clockwise,4.94,62.0,306.143,110584.0,115914.0,113480.0,20,3,77,1,0,1,0,1,2,6,1,1,0,0,1,0,0,2,0,0,0,154.0,94.0,82.0,92.0,90.0 +11.0,2,1,25.0,59,7340238.0,57.0,2.0,108165.0,168.509,perez,11.0,Mexican,red_bull,Austrian,2022,17,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,1.0,576.0,1.0,13.0,114404.0,112818.0,109434.0,34,32,Partly cloudy in a wet and drying track,0,0,1,1,1,Street circuit,Anti-clockwise,4.94,62.0,306.143,109434.0,114404.0,112218.66666666669,21,11,232,7,6,0,3,2,1,0,0,0,0,0,0,0,0,0,0,0,1,245.0,89.0,85.0,89.0,88.0 +3.0,16,5,10.0,59,7393520.0,57.0,12.0,111006.0,164.196,ricciardo,3.0,Australian,mclaren,British,2022,17,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,129.0,4.0,0.0,116226.0,116226.0,116226.0,35,33,Partly cloudy in a wet and drying track,0,0,1,1,1,Street circuit,Anti-clockwise,4.94,62.0,306.143,116226.0,116226.0,116226.0,22,11,227,0,0,0,0,0,1,0,1,2,0,1,1,3,1,2,0,3,1,241.0,88.0,93.0,80.0,83.0 +63.0,20,14,0.0,57,,54.0,1.0,106458.0,171.211,russell,63.0,British,mercedes,German,2022,17,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,+2 Laps,0.0,373.0,3.0,0.0,114633.0,114012.0,114012.0,26,24,Partly cloudy in a wet and drying track,0,0,1,1,1,Street circuit,Anti-clockwise,4.94,62.0,306.143,114012.0,114633.0,114219.0,21,3,77,7,1,6,5,3,0,0,0,0,0,0,0,0,0,0,0,0,1,154.0,90.0,86.0,93.0,90.0 +55.0,4,3,15.0,59,7350543.0,59.0,3.0,108414.0,168.122,sainz,55.0,Spanish,ferrari,Italian,2022,17,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,1.0,439.0,2.0,4.0,114559.0,113219.0,109583.0,30,28,Partly cloudy in a wet and drying track,0,0,1,1,1,Street circuit,Anti-clockwise,4.94,62.0,306.143,109583.0,114559.0,112453.66666666669,21,7,158,7,3,3,3,1,0,0,1,0,0,0,0,0,0,0,0,0,1,193.0,89.0,89.0,87.0,87.0 +18.0,11,6,8.0,59,7396568.0,58.0,7.0,110283.0,165.272,stroll,18.0,Canadian,aston_martin,British,2022,17,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,37.0,7.0,0.0,115629.0,114211.0,114211.0,26,24,Partly cloudy in a wet and drying track,0,0,1,1,1,Street circuit,Anti-clockwise,4.94,62.0,306.143,114211.0,115629.0,114683.66666666669,19,5,117,0,0,0,0,0,0,0,0,0,5,3,2,2,1,1,1,0,1,159.0,89.0,76.0,77.0,80.0 +5.0,13,8,4.0,59,7400270.0,58.0,11.0,110669.0,164.696,vettel,5.0,German,aston_martin,British,2022,17,Singapore Grand Prix,43200000.0,marina_bay,Marina Bay,Singapore,1.2914,103.864,18.0,Finished,0.0,37.0,7.0,0.0,115602.0,114380.0,114380.0,37,35,Partly cloudy in a wet and drying track,0,0,1,1,1,Street circuit,Anti-clockwise,4.94,62.0,306.143,114380.0,115602.0,114787.33333333331,20,15,295,0,0,0,0,0,1,0,2,1,2,2,1,0,1,0,0,2,0,284.0,87.0,92.0,83.0,85.0 +14.0,7,7,6.0,28,10950373.0,25.0,2.0,104412.0,200.218,alonso,14.0,Spanish,alpine,French,2022,18,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,143.0,4.0,0.0,90603.0,90343.0,90322.0,43,41,Rain,0,0,0,1,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,90322.0,90603.0,90422.66666666669,25,16,284,0,0,0,0,2,2,2,1,3,1,1,0,0,0,0,1,1,1,317.0,88.0,78.0,89.0,89.0 +77.0,12,15,0.0,28,10990500.0,11.0,14.0,107820.0,193.889,bottas,77.0,Finnish,alfa,Swiss,2022,18,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,52.0,6.0,0.0,91226.0,90709.0,90709.0,35,33,Rain,0,0,0,1,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,90709.0,91226.0,90881.33333333331,24,9,197,0,0,0,0,1,2,2,1,1,0,3,0,1,1,1,0,1,0,217.0,84.0,93.0,90.0,88.0 +10.0,17,18,0.0,28,11012095.0,13.0,10.0,106545.0,196.21,gasly,10.0,French,alphatauri,Italian,2022,18,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,34.0,9.0,0.0,91322.0,91322.0,91322.0,28,26,Rain,0,0,0,1,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,91322.0,91322.0,91322.0,21,5,104,0,0,0,0,1,0,0,2,2,1,2,3,1,1,1,1,0,1,145.0,90.0,79.0,84.0,84.0 +44.0,6,5,10.0,28,10944330.0,11.0,7.0,105530.0,198.097,hamilton,44.0,British,mercedes,German,2022,18,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,387.0,3.0,0.0,90906.0,90443.0,90261.0,39,37,Rain,0,0,0,1,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,90261.0,90906.0,90536.66666666669,22,15,306,6,2,4,3,2,1,0,1,1,1,0,0,1,0,0,0,0,0,293.0,96.0,92.0,93.0,94.0 +20.0,18,14,0.0,28,10990020.0,10.0,16.0,108072.0,193.437,kevin_magnussen,20.0,Danish,haas,American,2022,18,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,34.0,8.0,0.0,91352.0,91352.0,91352.0,32,30,Rain,0,0,0,1,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,91352.0,91352.0,91352.0,22,8,138,0,0,0,0,1,0,0,1,2,1,0,1,0,1,1,4,3,1,173.0,82.0,84.0,82.0,81.0 +6.0,20,9,2.0,28,10974147.0,12.0,18.0,108371.0,192.904,latifi,6.0,Canadian,williams,British,2022,18,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,8.0,10.0,0.0,91511.0,91511.0,91511.0,29,27,Rain,0,0,0,1,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,91511.0,91511.0,91511.0,25,2,57,0,0,0,0,0,0,0,0,0,0,0,1,0,1,3,5,1,4,135.0,80.0,76.0,66.0,70.0 +16.0,2,3,15.0,28,10935767.0,10.0,3.0,104489.0,200.07,leclerc,16.0,Monegasque,ferrari,Italian,2022,18,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,3.0,454.0,2.0,4.0,90402.0,90486.0,89314.0,27,25,Rain,0,0,0,1,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,89314.0,90486.0,90067.33333333333,21,4,99,8,4,1,2,1,3,0,0,0,0,0,0,0,0,0,0,0,0,159.0,94.0,91.0,95.0,92.0 +1.0,1,1,25.0,28,10904004.0,10.0,4.0,104911.0,199.266,max_verstappen,33.0,Dutch,red_bull,Austrian,2022,18,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,11.0,619.0,1.0,14.0,90224.0,90346.0,89304.0,27,25,Rain,0,0,0,1,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,89304.0,90346.0,89958.0,18,7,159,13,1,1,0,0,0,2,0,0,0,0,0,0,0,0,0,0,1,193.0,98.0,79.0,97.0,94.0 +47.0,15,17,0.0,28,10996527.0,22.0,6.0,105387.0,198.366,mick_schumacher,47.0,German,haas,American,2022,18,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,34.0,8.0,0.0,91152.0,91439.0,91439.0,25,23,Rain,0,0,0,1,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,91152.0,91439.0,91343.33333333331,22,1,40,0,0,0,0,0,1,0,1,0,0,1,1,3,3,2,0,2,0,116.0,79.0,80.0,79.0,77.0 +4.0,10,10,1.0,28,10974786.0,8.0,17.0,108175.0,193.253,norris,4.0,British,mclaren,British,2022,18,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,130.0,5.0,0.0,90881.0,90473.0,91003.0,25,23,Rain,0,0,0,1,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,90473.0,91003.0,90785.66666666669,20,3,78,1,0,1,1,1,2,6,1,1,0,0,1,0,0,2,0,0,0,154.0,94.0,82.0,92.0,90.0 +31.0,5,4,12.0,28,10943689.0,11.0,11.0,106559.0,196.184,ocon,31.0,French,alpine,French,2022,18,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,143.0,4.0,0.0,90696.0,90357.0,90165.0,28,26,Rain,0,0,0,1,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,90165.0,90696.0,90406.0,20,6,107,0,0,0,0,1,2,4,2,2,1,1,1,0,1,1,1,0,0,150.0,90.0,76.0,82.0,83.0 +11.0,4,2,18.0,28,10931070.0,11.0,9.0,106120.0,196.995,perez,11.0,Mexican,red_bull,Austrian,2022,18,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,2.0,619.0,1.0,14.0,90622.0,89925.0,89709.0,34,32,Rain,0,0,0,1,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,89709.0,90622.0,90085.33333333331,21,11,233,8,6,0,3,2,1,0,0,0,0,0,0,0,0,0,0,0,1,245.0,89.0,85.0,89.0,88.0 +3.0,11,11,0.0,28,10976881.0,11.0,15.0,107843.0,193.848,ricciardo,3.0,Australian,mclaren,British,2022,18,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,130.0,5.0,0.0,90880.0,90659.0,90659.0,35,33,Rain,0,0,0,1,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,90659.0,90880.0,90732.66666666669,22,11,228,0,0,0,0,1,1,0,1,2,0,1,1,3,1,2,0,3,1,241.0,88.0,93.0,80.0,83.0 +63.0,8,8,4.0,28,10951665.0,21.0,13.0,107004.0,195.368,russell,63.0,British,mercedes,German,2022,18,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,387.0,3.0,0.0,90865.0,90465.0,90389.0,26,24,Rain,0,0,0,1,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,90389.0,90865.0,90573.0,21,3,78,7,1,6,5,3,0,0,0,0,0,0,0,0,1,0,0,0,1,154.0,90.0,86.0,93.0,90.0 +18.0,19,12,0.0,28,10977908.0,21.0,5.0,105205.0,198.709,stroll,18.0,Canadian,aston_martin,British,2022,18,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,45.0,7.0,0.0,91419.0,91419.0,91419.0,26,24,Rain,0,0,0,1,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,91419.0,91419.0,91419.0,19,5,118,0,0,0,0,0,1,0,0,0,5,3,2,2,1,1,1,0,1,159.0,89.0,76.0,77.0,80.0 +22.0,13,13,0.0,28,10979603.0,22.0,8.0,105893.0,197.418,tsunoda,22.0,Japanese,alphatauri,Italian,2022,18,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,34.0,9.0,0.0,91130.0,90808.0,90808.0,24,22,Rain,0,0,0,1,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,90808.0,91130.0,90915.33333333331,21,1,40,0,0,0,0,0,0,1,1,0,1,0,1,2,2,2,1,1,1,111.0,76.0,74.0,83.0,78.0 +5.0,9,6,8.0,28,10950362.0,13.0,12.0,106964.0,195.441,vettel,5.0,German,aston_martin,British,2022,18,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,45.0,7.0,0.0,91256.0,90656.0,90554.0,37,35,Rain,0,0,0,1,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,90554.0,91256.0,90822.0,20,15,296,0,0,0,0,0,1,0,3,1,2,2,1,0,1,0,0,2,0,284.0,87.0,92.0,83.0,85.0 +24.0,14,16,0.0,28,10991047.0,20.0,1.0,104411.0,200.22,zhou,24.0,Chinese,alfa,Swiss,2022,18,Japanese Grand Prix,18000000.0,suzuka,Suzuka,Japan,34.8431,136.541,45.0,Finished,0.0,52.0,6.0,0.0,90894.0,90953.0,90953.0,25,23,Rain,0,0,0,1,0,Race circuit,Part clockwise and part anti-clockwise (figure eight),5.807,53.0,307.471,90894.0,90953.0,90933.33333333331,23,0,18,0,0,0,0,0,0,0,1,0,2,2,0,1,2,1,3,0,1,73.0,80.0,73.0,67.0,70.0 +23.0,8,13,0.0,56,6211744.0,55.0,9.0,101674.0,195.2,albon,23.0,Thai,williams,British,2022,19,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,0.0,8.0,10.0,0.0,96932.0,96368.0,96368.0,28,26,Partly cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,96368.0,96932.0,96556.0,23,3,56,0,0,0,0,0,0,0,0,1,2,1,3,3,1,0,0,2,2,130.0,90.0,76.0,81.0,82.0 +14.0,14,7,6.0,56,6186765.0,39.0,8.0,101538.0,195.461,alonso,14.0,Spanish,alpine,French,2022,19,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,0.0,149.0,4.0,0.0,96446.0,95988.0,95876.0,43,41,Partly cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,95876.0,96446.0,96103.33333333331,25,16,285,0,0,0,0,2,2,3,1,3,1,1,0,0,0,0,1,1,1,317.0,88.0,78.0,89.0,89.0 +10.0,11,14,0.0,56,6213450.0,55.0,12.0,102320.0,193.967,gasly,10.0,French,alphatauri,Italian,2022,19,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,0.0,35.0,9.0,0.0,96577.0,96740.0,96740.0,28,26,Partly cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,96577.0,96740.0,96685.66666666669,21,5,105,0,0,0,0,1,0,0,2,2,1,2,3,1,1,1,1,0,2,145.0,90.0,79.0,84.0,84.0 +44.0,3,2,18.0,56,6136710.0,45.0,5.0,99830.0,198.805,hamilton,44.0,British,mercedes,German,2022,19,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,0.0,416.0,3.0,0.0,96148.0,95732.0,94947.0,39,37,Partly cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,94947.0,96148.0,95609.0,22,15,307,6,2,4,3,3,1,0,1,1,1,0,0,1,0,0,0,0,0,293.0,96.0,92.0,93.0,94.0 +20.0,13,9,2.0,56,6197521.0,36.0,11.0,102206.0,194.184,kevin_magnussen,20.0,Danish,haas,American,2022,19,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,0.0,36.0,8.0,0.0,96949.0,96949.0,96949.0,32,30,Partly cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,96949.0,96949.0,96949.0,22,8,139,0,0,0,0,1,0,0,1,2,1,0,1,0,2,1,4,3,1,173.0,82.0,84.0,82.0,81.0 +6.0,17,17,0.0,56,6235275.0,54.0,19.0,103485.0,191.784,latifi,6.0,Canadian,williams,British,2022,19,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,0.0,8.0,10.0,0.0,97244.0,97244.0,97244.0,29,27,Partly cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,97244.0,97244.0,97244.0,25,2,58,0,0,0,0,0,0,0,0,1,0,0,1,0,1,3,5,1,4,135.0,80.0,76.0,66.0,70.0 +16.0,12,3,15.0,56,6139188.0,37.0,4.0,99731.0,199.003,leclerc,16.0,Monegasque,ferrari,Italian,2022,19,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,3.0,469.0,2.0,4.0,95795.0,95246.0,94421.0,27,25,Partly cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,94421.0,95795.0,95154.0,21,4,100,9,4,2,2,1,3,0,0,0,0,0,0,0,0,0,0,0,0,159.0,94.0,91.0,95.0,92.0 +1.0,2,1,25.0,56,6131687.0,37.0,2.0,99541.0,199.383,max_verstappen,33.0,Dutch,red_bull,Austrian,2022,19,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,12.0,656.0,1.0,15.0,95864.0,95294.0,94448.0,27,25,Partly cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,94448.0,95864.0,95202.0,18,7,160,14,1,1,0,0,0,2,0,0,0,0,0,0,0,0,0,0,1,193.0,98.0,79.0,97.0,94.0 +47.0,16,15,0.0,56,6216177.0,51.0,10.0,101804.0,194.951,mick_schumacher,47.0,German,haas,American,2022,19,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,0.0,36.0,8.0,0.0,97111.0,97111.0,97111.0,25,23,Partly cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,97111.0,97111.0,97111.0,22,1,41,0,0,0,0,0,1,0,1,0,0,1,1,3,3,2,0,3,0,116.0,79.0,80.0,79.0,77.0 +4.0,6,6,8.0,56,6185472.0,49.0,7.0,101322.0,195.878,norris,4.0,British,mclaren,British,2022,19,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,0.0,138.0,5.0,0.0,96465.0,96341.0,95690.0,25,23,Partly cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,95690.0,96465.0,96165.33333333331,20,3,79,1,0,1,1,1,2,6,1,1,1,0,1,0,0,2,0,0,0,154.0,94.0,82.0,92.0,90.0 +31.0,20,11,0.0,56,6204562.0,39.0,13.0,102394.0,193.827,ocon,31.0,French,alpine,French,2022,19,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,0.0,149.0,4.0,0.0,97068.0,97068.0,97068.0,28,26,Partly cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,97068.0,97068.0,97068.0,20,6,108,0,0,0,1,1,2,4,2,2,1,1,1,0,1,1,1,0,0,150.0,90.0,76.0,82.0,83.0 +11.0,9,4,12.0,56,6139980.0,44.0,3.0,99563.0,199.339,perez,11.0,Mexican,red_bull,Austrian,2022,19,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,2.0,656.0,1.0,15.0,96163.0,95864.0,94645.0,34,32,Partly cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,94645.0,96163.0,95557.33333333331,21,11,234,9,7,0,3,2,1,0,0,0,0,0,0,0,0,0,0,0,1,245.0,89.0,85.0,89.0,88.0 +3.0,15,16,0.0,56,6222174.0,55.0,14.0,102420.0,193.778,ricciardo,3.0,Australian,mclaren,British,2022,19,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,0.0,138.0,5.0,0.0,97046.0,97046.0,97046.0,35,33,Partly cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,97046.0,97046.0,97046.0,22,11,229,0,0,0,0,1,1,0,1,2,0,2,1,3,1,2,0,3,1,241.0,88.0,93.0,80.0,83.0 +63.0,4,5,11.0,56,6176502.0,56.0,1.0,98788.0,200.902,russell,63.0,British,mercedes,German,2022,19,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,0.0,416.0,3.0,0.0,96195.0,95692.0,94988.0,26,24,Partly cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,94988.0,96195.0,95625.0,21,3,79,7,1,6,5,3,0,0,1,0,0,0,0,0,1,0,0,0,1,154.0,90.0,86.0,93.0,90.0 +22.0,19,10,1.0,56,6202606.0,49.0,6.0,101243.0,196.031,tsunoda,22.0,Japanese,alphatauri,Italian,2022,19,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,0.0,35.0,9.0,0.0,96808.0,97147.0,97147.0,24,22,Partly cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,96808.0,97147.0,97034.0,21,1,41,0,0,0,0,0,0,1,1,0,1,0,1,3,2,2,1,1,1,111.0,76.0,74.0,83.0,78.0 +5.0,10,8,4.0,56,6197041.0,35.0,16.0,102546.0,193.54,vettel,5.0,German,aston_martin,British,2022,19,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,0.0,49.0,7.0,0.0,96695.0,96398.0,96398.0,37,35,Partly cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,96398.0,96695.0,96497.0,20,15,297,0,0,0,0,0,2,0,3,1,2,2,1,0,1,0,0,2,0,284.0,87.0,92.0,83.0,85.0 +24.0,18,12,0.0,56,6207851.0,46.0,15.0,102471.0,193.682,zhou,24.0,Chinese,alfa,Swiss,2022,19,United States Grand Prix,68400000.0,americas,Austin,USA,30.1328,-97.6411,161.0,Finished,0.0,52.0,6.0,0.0,96656.0,96970.0,96970.0,25,23,Partly cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,5.513,56.0,308.405,96656.0,96970.0,96865.33333333331,23,0,19,0,0,0,0,0,0,0,1,0,2,2,0,1,2,1,4,0,1,73.0,80.0,73.0,67.0,70.0 +23.0,17,12,0.0,70,,48.0,12.0,82914.0,186.873,albon,23.0,Thai,williams,British,2022,20,Mexico City Grand Prix,72000000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,+1 Lap,0.0,8.0,10.0,0.0,80859.0,80859.0,80859.0,28,26,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.304,71.0,305.354,80859.0,80859.0,80859.0,23,3,57,0,0,0,0,0,0,0,0,1,2,1,3,4,1,0,0,2,2,130.0,90.0,76.0,81.0,82.0 +77.0,6,10,1.0,70,,43.0,16.0,83363.0,185.866,bottas,77.0,Finnish,alfa,Swiss,2022,20,Mexico City Grand Prix,72000000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,+1 Lap,0.0,53.0,6.0,0.0,79523.0,78762.0,78401.0,35,33,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.304,71.0,305.354,78401.0,79523.0,78895.33333333333,24,9,199,0,0,0,0,1,2,2,1,1,0,3,0,1,1,2,0,1,0,217.0,84.0,93.0,90.0,88.0 +10.0,14,11,0.0,70,,42.0,8.0,82277.0,188.319,gasly,10.0,French,alphatauri,Italian,2022,20,Mexico City Grand Prix,72000000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,+1 Lap,0.0,35.0,9.0,0.0,80256.0,79672.0,79672.0,28,26,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.304,71.0,305.354,79672.0,80256.0,79866.66666666667,21,5,106,0,0,0,0,1,0,0,2,2,1,2,3,1,2,1,1,0,2,145.0,90.0,79.0,84.0,84.0 +44.0,3,2,18.0,71,5931915.0,32.0,5.0,82062.0,188.813,hamilton,44.0,British,mercedes,German,2022,20,Mexico City Grand Prix,72000000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,Finished,0.0,447.0,3.0,0.0,79169.0,78552.0,78084.0,39,37,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.304,71.0,305.354,78084.0,79169.0,78601.66666666667,22,15,308,7,3,4,3,3,1,0,1,1,1,0,0,1,0,0,0,0,0,293.0,96.0,92.0,93.0,94.0 +20.0,19,17,0.0,70,,49.0,15.0,83300.0,186.007,kevin_magnussen,20.0,Danish,haas,American,2022,20,Mexico City Grand Prix,72000000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,+1 Lap,0.0,36.0,8.0,0.0,80293.0,79833.0,79833.0,32,30,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.304,71.0,305.354,79833.0,80293.0,79986.33333333333,22,8,140,0,0,0,0,1,0,0,1,3,1,0,1,0,2,1,4,3,1,173.0,82.0,84.0,82.0,81.0 +6.0,18,18,0.0,69,,56.0,20.0,83709.0,185.098,latifi,6.0,Canadian,williams,British,2022,20,Mexico City Grand Prix,72000000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,+2 Laps,0.0,8.0,10.0,0.0,81167.0,81167.0,81167.0,29,27,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.304,71.0,305.354,81167.0,81167.0,81167.0,25,2,59,0,0,0,0,0,0,0,0,1,0,0,1,0,1,3,5,2,4,135.0,80.0,76.0,66.0,70.0 +16.0,7,6,8.0,71,5985503.0,48.0,10.0,82603.0,187.576,leclerc,16.0,Monegasque,ferrari,Italian,2022,20,Mexico City Grand Prix,72000000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,Finished,3.0,487.0,2.0,4.0,79505.0,79109.0,78555.0,27,25,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.304,71.0,305.354,78555.0,79505.0,79056.33333333333,21,4,101,10,4,3,2,1,3,0,0,0,0,0,0,0,0,0,0,0,0,159.0,94.0,91.0,95.0,92.0 +1.0,1,1,25.0,71,5916729.0,36.0,4.0,82046.0,188.85,max_verstappen,33.0,Dutch,red_bull,Austrian,2022,20,Mexico City Grand Prix,72000000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,Finished,13.0,696.0,1.0,16.0,79222.0,78566.0,77775.0,27,25,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.304,71.0,305.354,77775.0,79222.0,78521.0,18,7,161,15,1,1,0,0,0,2,0,0,0,0,0,0,0,0,0,0,1,193.0,98.0,79.0,97.0,94.0 +47.0,15,16,0.0,70,,30.0,19.0,83641.0,185.248,mick_schumacher,47.0,German,haas,American,2022,20,Mexico City Grand Prix,72000000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,+1 Lap,0.0,36.0,8.0,0.0,80419.0,80419.0,80419.0,25,23,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.304,71.0,305.354,80419.0,80419.0,80419.0,22,1,42,0,0,0,0,0,1,0,1,0,0,1,1,3,3,3,0,3,0,116.0,79.0,80.0,79.0,77.0 +4.0,8,9,2.0,70,,48.0,17.0,83402.0,185.779,norris,4.0,British,mclaren,British,2022,20,Mexico City Grand Prix,72000000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,+1 Lap,0.0,146.0,5.0,0.0,79857.0,79119.0,78721.0,25,23,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.304,71.0,305.354,78721.0,79857.0,79232.33333333333,20,3,80,1,0,1,1,1,3,6,1,1,1,0,1,0,0,2,0,0,0,154.0,94.0,82.0,92.0,90.0 +31.0,10,8,4.0,70,,48.0,14.0,83279.0,186.054,ocon,31.0,French,alpine,French,2022,20,Mexico City Grand Prix,72000000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,+1 Lap,0.0,153.0,4.0,0.0,79945.0,79081.0,79010.0,28,26,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.304,71.0,305.354,79010.0,79945.0,79345.33333333333,20,6,109,0,0,0,1,1,2,4,2,2,1,2,1,0,1,1,1,0,0,150.0,90.0,76.0,82.0,83.0 +11.0,4,3,15.0,71,5934826.0,30.0,2.0,81775.0,189.476,perez,11.0,Mexican,red_bull,Austrian,2022,20,Mexico City Grand Prix,72000000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,Finished,2.0,696.0,1.0,16.0,79706.0,78615.0,78128.0,34,32,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.304,71.0,305.354,78128.0,79706.0,78816.33333333333,21,11,235,9,7,0,4,2,1,0,0,0,0,0,0,0,0,0,0,0,1,245.0,89.0,85.0,89.0,88.0 +3.0,11,7,6.0,70,,48.0,3.0,82022.0,188.905,ricciardo,3.0,Australian,mclaren,British,2022,20,Mexico City Grand Prix,72000000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,+1 Lap,0.0,146.0,5.0,0.0,80279.0,79325.0,79325.0,35,33,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.304,71.0,305.354,79325.0,80279.0,79643.0,22,11,230,0,0,0,0,1,1,0,1,2,0,2,1,3,1,2,1,3,1,241.0,88.0,93.0,80.0,83.0 +63.0,2,4,13.0,71,5966160.0,71.0,1.0,80153.0,193.31,russell,63.0,British,mercedes,German,2022,20,Mexico City Grand Prix,72000000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,Finished,0.0,447.0,3.0,0.0,79583.0,78565.0,78079.0,26,24,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.304,71.0,305.354,78079.0,79583.0,78742.33333333333,21,3,80,7,1,6,5,4,0,0,1,0,0,0,0,0,1,0,0,0,1,154.0,90.0,86.0,93.0,90.0 +55.0,5,5,10.0,71,5974852.0,32.0,6.0,82199.0,188.498,sainz,55.0,Spanish,ferrari,Italian,2022,20,Mexico City Grand Prix,72000000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,Finished,1.0,487.0,2.0,4.0,79566.0,78560.0,78351.0,30,28,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.304,71.0,305.354,78351.0,79566.0,78825.66666666667,21,7,161,8,3,4,3,1,0,0,1,0,0,0,0,0,0,0,0,0,1,193.0,89.0,89.0,87.0,87.0 +18.0,20,15,0.0,70,,42.0,9.0,82463.0,187.895,stroll,18.0,Canadian,aston_martin,British,2022,20,Mexico City Grand Prix,72000000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,+1 Lap,0.0,49.0,7.0,0.0,80520.0,80520.0,80520.0,26,24,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.304,71.0,305.354,80520.0,80520.0,80520.0,19,5,120,0,0,0,0,0,1,0,0,0,5,3,3,2,1,1,1,0,2,159.0,89.0,76.0,77.0,80.0 +5.0,16,14,0.0,70,,45.0,13.0,83086.0,186.486,vettel,5.0,German,aston_martin,British,2022,20,Mexico City Grand Prix,72000000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,+1 Lap,0.0,49.0,7.0,0.0,80419.0,80419.0,80419.0,37,35,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.304,71.0,305.354,80419.0,80419.0,80419.0,20,15,298,0,0,0,0,0,2,0,4,1,2,2,1,0,1,0,0,2,0,284.0,87.0,92.0,83.0,85.0 +24.0,12,13,0.0,70,,47.0,7.0,82260.0,188.358,zhou,24.0,Chinese,alfa,Swiss,2022,20,Mexico City Grand Prix,72000000.0,rodriguez,Mexico City,Mexico,19.4042,-99.0907,2227.0,+1 Lap,0.0,53.0,6.0,0.0,80283.0,79476.0,79476.0,25,23,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,4.304,71.0,305.354,79476.0,80283.0,79745.0,23,0,20,0,0,0,0,0,0,0,1,0,2,2,1,1,2,1,4,0,1,73.0,80.0,73.0,67.0,70.0 +23.0,19,15,0.0,71,5950060.0,49.0,16.0,75613.0,205.155,albon,23.0,Thai,williams,British,2022,21,Brazilian Grand Prix,64800000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,8.0,10.0,0.0,74324.0,71631.0,71631.0,28,26,Cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,4.309,71.0,305.879,71631.0,74324.0,72528.66666666667,23,3,58,0,0,0,0,0,0,0,0,1,2,1,4,4,1,0,0,2,2,130.0,90.0,76.0,81.0,82.0 +14.0,17,5,10.0,71,5923605.0,62.0,4.0,74164.0,209.163,alonso,14.0,Spanish,alpine,French,2022,21,Brazilian Grand Prix,64800000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,167.0,4.0,0.0,73542.0,71394.0,72504.0,43,41,Cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,4.309,71.0,305.879,71394.0,73542.0,72480.0,25,16,287,0,0,0,0,2,2,4,1,3,1,1,0,0,0,0,1,1,1,317.0,88.0,78.0,89.0,89.0 +77.0,14,9,2.0,71,5936596.0,62.0,14.0,75511.0,205.432,bottas,77.0,Finnish,alfa,Swiss,2022,21,Brazilian Grand Prix,64800000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,55.0,6.0,0.0,75486.0,75486.0,75486.0,35,33,Cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,4.309,71.0,305.879,75486.0,75486.0,75486.0,24,9,200,0,0,0,0,1,2,2,1,1,1,3,0,1,1,2,0,1,0,217.0,84.0,93.0,90.0,88.0 +10.0,10,14,0.0,71,5945911.0,64.0,12.0,75327.0,205.934,gasly,10.0,French,alphatauri,Italian,2022,21,Brazilian Grand Prix,64800000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,35.0,9.0,0.0,74371.0,71675.0,71675.0,28,26,Cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,4.309,71.0,305.879,71675.0,74371.0,72573.66666666667,21,5,107,0,0,0,0,1,0,0,2,2,1,3,3,1,2,1,1,0,2,145.0,90.0,79.0,84.0,84.0 +44.0,2,2,18.0,71,5915573.0,63.0,2.0,73942.0,209.791,hamilton,44.0,British,mercedes,German,2022,21,Brazilian Grand Prix,64800000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,505.0,3.0,1.0,73403.0,71539.0,72611.0,39,37,Cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,4.309,71.0,305.879,71539.0,73403.0,72517.66666666667,22,15,309,8,4,4,3,3,1,0,1,1,1,0,0,1,0,0,0,0,0,293.0,96.0,92.0,93.0,94.0 +6.0,18,16,0.0,71,5951082.0,59.0,11.0,75327.0,205.934,latifi,6.0,Canadian,williams,British,2022,21,Brazilian Grand Prix,64800000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,8.0,10.0,0.0,75095.0,75095.0,75095.0,29,27,Cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,4.309,71.0,305.879,75095.0,75095.0,75095.0,25,2,60,0,0,0,0,0,0,0,0,1,0,0,1,0,1,3,5,2,5,135.0,80.0,76.0,66.0,70.0 +16.0,5,4,12.0,71,5922485.0,63.0,6.0,74253.0,208.912,leclerc,16.0,Monegasque,ferrari,Italian,2022,21,Brazilian Grand Prix,64800000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,3.0,524.0,2.0,4.0,74486.0,70950.0,70950.0,27,25,Cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,4.309,71.0,305.879,70950.0,74486.0,72128.66666666667,21,4,102,10,4,3,2,1,4,0,0,0,0,0,0,0,0,0,0,0,0,159.0,94.0,91.0,95.0,92.0 +1.0,3,6,8.0,71,5924100.0,64.0,5.0,74195.0,209.076,max_verstappen,33.0,Dutch,red_bull,Austrian,2022,21,Brazilian Grand Prix,64800000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,14.0,719.0,1.0,16.0,73625.0,70881.0,71877.0,27,25,Cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,4.309,71.0,305.879,70881.0,73625.0,72127.66666666667,18,7,162,16,1,1,0,0,0,2,0,0,0,0,0,0,0,0,0,0,1,193.0,98.0,79.0,97.0,94.0 +47.0,12,13,0.0,71,5943943.0,63.0,10.0,75251.0,206.142,mick_schumacher,47.0,German,haas,American,2022,21,Brazilian Grand Prix,64800000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,37.0,8.0,0.0,76361.0,76361.0,76361.0,25,23,Cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,4.309,71.0,305.879,76361.0,76361.0,76361.0,22,1,43,0,0,0,0,0,1,0,1,0,0,1,1,3,3,3,1,3,0,116.0,79.0,80.0,79.0,77.0 +31.0,16,8,4.0,71,5932734.0,65.0,9.0,75093.0,206.575,ocon,31.0,French,alpine,French,2022,21,Brazilian Grand Prix,64800000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,167.0,4.0,0.0,74663.0,71587.0,72425.0,28,26,Cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,4.309,71.0,305.879,71587.0,74663.0,72891.66666666667,20,6,110,0,0,0,1,1,2,4,3,2,1,2,1,0,1,1,1,0,0,150.0,90.0,76.0,82.0,83.0 +11.0,4,7,6.0,71,5928124.0,62.0,7.0,74283.0,208.828,perez,11.0,Mexican,red_bull,Austrian,2022,21,Brazilian Grand Prix,64800000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,2.0,719.0,1.0,16.0,73613.0,71456.0,75601.0,34,32,Cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,4.309,71.0,305.879,71456.0,75601.0,73556.66666666667,21,11,236,10,7,1,4,2,1,0,0,0,0,0,0,0,0,0,0,0,1,245.0,89.0,85.0,89.0,88.0 +63.0,1,1,26.0,71,5914044.0,61.0,1.0,73785.0,210.237,russell,63.0,British,mercedes,German,2022,21,Brazilian Grand Prix,64800000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,505.0,3.0,1.0,74427.0,71318.0,72059.0,26,24,Cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,4.309,71.0,305.879,71318.0,74427.0,72601.33333333333,21,3,81,7,1,6,6,4,0,0,1,0,0,0,0,0,1,0,0,0,1,154.0,90.0,86.0,93.0,90.0 +55.0,7,3,15.0,71,5918095.0,65.0,3.0,73953.0,209.76,sainz,55.0,Spanish,ferrari,Italian,2022,21,Brazilian Grand Prix,64800000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,1.0,524.0,2.0,4.0,74680.0,70890.0,72357.0,30,28,Cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,4.309,71.0,305.879,70890.0,74680.0,72642.33333333333,21,7,162,8,3,4,3,2,0,0,1,0,0,0,0,0,0,0,0,0,1,193.0,89.0,89.0,87.0,87.0 +18.0,15,10,1.0,71,5937596.0,50.0,8.0,74831.0,207.299,stroll,18.0,Canadian,aston_martin,British,2022,21,Brazilian Grand Prix,64800000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,50.0,7.0,0.0,74398.0,72210.0,72210.0,26,24,Cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,4.309,71.0,305.879,72210.0,74398.0,72939.33333333333,19,5,121,0,0,0,0,0,1,0,0,0,5,3,3,2,1,2,1,0,2,159.0,89.0,76.0,77.0,80.0 +22.0,20,17,0.0,70,,63.0,13.0,75508.0,205.44,tsunoda,22.0,Japanese,alphatauri,Italian,2022,21,Brazilian Grand Prix,64800000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,+1 Lap,0.0,35.0,9.0,0.0,76264.0,76264.0,76264.0,24,22,Cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,4.309,71.0,305.879,76264.0,76264.0,76264.0,21,1,43,0,0,0,0,0,0,1,1,0,2,0,1,3,2,2,1,1,1,111.0,76.0,74.0,83.0,78.0 +5.0,9,11,0.0,71,5940227.0,64.0,15.0,75549.0,205.328,vettel,5.0,German,aston_martin,British,2022,21,Brazilian Grand Prix,64800000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,50.0,7.0,0.0,73597.0,71678.0,71678.0,37,35,Cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,4.309,71.0,305.879,71678.0,73597.0,72317.66666666667,20,15,299,0,0,0,0,0,2,0,4,1,2,2,1,0,2,0,0,2,0,284.0,87.0,92.0,83.0,85.0 +24.0,13,12,0.0,71,5943369.0,64.0,17.0,75802.0,204.643,zhou,24.0,Chinese,alfa,Swiss,2022,21,Brazilian Grand Prix,64800000.0,interlagos,São Paulo,Brazil,-23.7036,-46.6997,785.0,Finished,0.0,55.0,6.0,0.0,75197.0,75197.0,75197.0,25,23,Cloudy,0,0,0,0,1,Race circuit,Anti-clockwise,4.309,71.0,305.879,75197.0,75197.0,75197.0,23,0,21,0,0,0,0,0,0,0,1,0,2,2,1,2,2,1,4,0,1,73.0,80.0,73.0,67.0,70.0 +23.0,19,13,0.0,57,,40.0,13.0,89939.0,211.383,albon,23.0,Thai,williams,British,2022,22,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,8.0,10.0,0.0,86028.0,86028.0,86028.0,28,26,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,86028.0,86028.0,86028.0,23,3,59,0,0,0,0,0,0,0,0,1,2,1,4,4,1,1,0,2,2,130.0,90.0,76.0,81.0,82.0 +77.0,18,15,0.0,57,,47.0,16.0,90352.0,210.417,bottas,77.0,Finnish,alfa,Swiss,2022,22,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,55.0,6.0,0.0,85892.0,85892.0,85892.0,35,33,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,85892.0,85892.0,85892.0,24,9,201,0,0,0,0,1,2,2,1,2,1,3,0,1,1,2,0,1,0,217.0,84.0,93.0,90.0,88.0 +10.0,17,14,0.0,57,,16.0,19.0,91081.0,208.732,gasly,10.0,French,alphatauri,Italian,2022,22,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,35.0,9.0,0.0,85859.0,85859.0,85859.0,28,26,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,85859.0,85859.0,85859.0,21,5,108,0,0,0,0,1,0,0,2,2,1,3,3,1,3,1,1,0,2,145.0,90.0,79.0,84.0,84.0 +20.0,16,17,0.0,57,,40.0,20.0,91158.0,208.556,kevin_magnussen,20.0,Danish,haas,American,2022,22,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,37.0,8.0,0.0,85834.0,85834.0,85834.0,32,30,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,85834.0,85834.0,85834.0,22,8,142,0,0,0,0,1,0,0,1,3,1,0,1,0,2,1,4,4,1,173.0,82.0,84.0,82.0,81.0 +16.0,3,2,18.0,58,5274685.0,48.0,10.0,89719.0,211.901,leclerc,16.0,Monegasque,ferrari,Italian,2022,22,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,3.0,554.0,2.0,4.0,85211.0,84517.0,84092.0,27,25,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,84092.0,85211.0,84606.66666666667,21,4,103,10,4,3,3,1,4,0,0,0,0,0,0,0,0,0,0,0,0,159.0,94.0,91.0,95.0,92.0 +1.0,1,1,25.0,58,5265914.0,54.0,6.0,89392.0,212.676,max_verstappen,33.0,Dutch,red_bull,Austrian,2022,22,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,14.0,759.0,1.0,17.0,84754.0,84622.0,83824.0,27,25,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,83824.0,84754.0,84400.0,18,7,163,16,1,1,0,0,1,2,0,0,0,0,0,0,0,0,0,0,1,193.0,98.0,79.0,97.0,94.0 +47.0,12,16,0.0,57,,39.0,12.0,89833.0,211.632,mick_schumacher,47.0,German,haas,American,2022,22,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,37.0,8.0,0.0,85711.0,85225.0,85225.0,25,23,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,85225.0,85711.0,85387.0,22,1,44,0,0,0,0,0,1,0,1,0,0,1,1,4,3,3,1,3,0,116.0,79.0,80.0,79.0,77.0 +4.0,7,6,9.0,58,5322148.0,44.0,1.0,88391.0,215.085,norris,4.0,British,mclaren,British,2022,22,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,159.0,5.0,0.0,85387.0,84903.0,84769.0,25,23,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,84769.0,85387.0,85019.66666666667,20,3,82,1,0,1,1,1,3,6,1,2,1,0,1,0,0,2,0,0,1,154.0,94.0,82.0,92.0,90.0 +31.0,8,7,6.0,58,5323154.0,45.0,5.0,89333.0,212.817,ocon,31.0,French,alpine,French,2022,22,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,173.0,4.0,0.0,85735.0,85007.0,84830.0,28,26,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,84830.0,85735.0,85190.66666666667,20,6,111,0,0,0,1,1,2,4,4,2,1,2,1,0,1,1,1,0,0,150.0,90.0,76.0,82.0,83.0 +11.0,2,3,15.0,58,5276007.0,52.0,4.0,88972.0,213.68,perez,11.0,Mexican,red_bull,Austrian,2022,22,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,2.0,759.0,1.0,17.0,84820.0,84419.0,84052.0,34,32,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,84052.0,84820.0,84430.33333333333,21,11,237,10,7,1,4,2,1,1,0,0,0,0,0,0,0,0,0,0,1,245.0,89.0,85.0,89.0,88.0 +3.0,13,9,2.0,58,5349182.0,45.0,18.0,90785.0,209.413,ricciardo,3.0,Australian,mclaren,British,2022,22,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,159.0,5.0,0.0,85766.0,85068.0,85045.0,35,33,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,85045.0,85766.0,85293.0,22,11,232,0,0,0,0,1,1,1,1,2,0,2,1,3,1,2,1,3,1,241.0,88.0,93.0,80.0,83.0 +63.0,6,5,10.0,58,5301802.0,48.0,2.0,88836.0,214.007,russell,63.0,British,mercedes,German,2022,22,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,1.0,515.0,3.0,1.0,85545.0,84940.0,84511.0,26,24,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,84511.0,85545.0,84998.66666666667,21,3,82,8,1,6,6,4,0,0,1,0,0,0,0,0,1,0,0,0,1,154.0,90.0,86.0,93.0,90.0 +55.0,4,4,12.0,58,5290806.0,50.0,3.0,88879.0,213.904,sainz,55.0,Spanish,ferrari,Italian,2022,22,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,1.0,554.0,2.0,4.0,85090.0,84521.0,84242.0,30,28,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,84242.0,85090.0,84617.66666666667,21,7,163,9,3,5,3,2,0,0,1,0,0,0,0,0,0,0,0,0,1,193.0,89.0,89.0,87.0,87.0 +18.0,14,8,4.0,58,5342845.0,42.0,9.0,89620.0,212.135,stroll,18.0,Canadian,aston_martin,British,2022,22,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,55.0,7.0,0.0,85741.0,85359.0,85359.0,26,24,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,85359.0,85741.0,85486.33333333333,19,5,122,0,0,0,0,0,1,0,0,0,6,3,3,2,1,2,1,0,2,159.0,89.0,76.0,77.0,80.0 +22.0,11,11,0.0,58,5355285.0,40.0,7.0,89489.0,212.446,tsunoda,22.0,Japanese,alphatauri,Italian,2022,22,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,35.0,9.0,0.0,85630.0,85219.0,85219.0,24,22,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,85219.0,85630.0,85356.0,21,1,44,0,0,0,0,0,0,1,1,0,2,0,1,3,2,2,1,2,1,111.0,76.0,74.0,83.0,78.0 +5.0,9,10,1.0,58,5349812.0,35.0,15.0,90312.0,210.51,vettel,5.0,German,aston_martin,British,2022,22,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,Finished,0.0,55.0,7.0,0.0,85523.0,84974.0,84961.0,37,35,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,84961.0,85523.0,85152.66666666667,20,15,300,0,0,0,0,0,2,0,4,1,2,3,1,0,2,0,0,2,0,284.0,87.0,92.0,83.0,85.0 +24.0,15,12,0.0,57,,53.0,8.0,89600.0,212.183,zhou,24.0,Chinese,alfa,Swiss,2022,22,Abu Dhabi Grand Prix,46800000.0,yas_marina,Abu Dhabi,UAE,24.4672,54.6031,3.0,+1 Lap,0.0,55.0,6.0,0.0,85594.0,85408.0,85408.0,25,23,Clear,1,0,0,0,0,Race circuit,Anti-clockwise,5.281,58.0,306.183,85408.0,85594.0,85470.0,23,0,22,0,0,0,0,0,0,0,1,0,2,2,2,2,2,1,4,0,1,73.0,80.0,73.0,67.0,70.0 +23.0,15,10,1.0,57,5726510.0,43.0,15.0,97144.0,200.559,albon,23.0,Thai,williams,British,2023,1,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,1.0,7.0,0.0,91461.0,91461.0,91461.0,28,27,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,91461.0,91461.0,91461.0,23,4,60,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,207.0,81.0,78.0,86.0,83.0 +14.0,5,3,15.0,57,5675373.0,36.0,5.0,96156.0,202.62,alonso,14.0,Spanish,aston_martin,British,2023,1,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,23.0,2.0,0.0,91158.0,90645.0,90336.0,43,42,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,90336.0,91158.0,90713.0,25,17,289,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,322.0,91.0,78.0,93.0,92.0 +77.0,12,8,4.0,57,5709383.0,31.0,18.0,97379.0,200.075,bottas,77.0,Finnish,alfa,Swiss,2023,1,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,4.0,5.0,0.0,91504.0,91443.0,91443.0,35,34,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,91443.0,91504.0,91463.33333333331,24,10,202,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,269.0,86.0,97.0,86.0,87.0 +21.0,19,14,0.0,56,,30.0,19.0,97709.0,199.4,de_vries,21.0,Dutch,alphatauri,Italian,2023,1,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,0.0,8.0,0.0,92121.0,92121.0,92121.0,29,28,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,92121.0,92121.0,92121.0,27,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,87.0,84.0,75.0,67.0,71.0 +10.0,20,9,2.0,57,5710489.0,42.0,2.0,95068.0,204.939,gasly,10.0,French,alpine,French,2023,1,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,2.0,6.0,0.0,92181.0,92181.0,92181.0,28,27,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,92181.0,92181.0,92181.0,21,6,109,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,221.0,89.0,76.0,85.0,85.0 +44.0,7,5,10.0,57,5687713.0,36.0,10.0,96546.0,201.802,hamilton,44.0,British,mercedes,German,2023,1,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,16.0,3.0,0.0,91543.0,90513.0,90384.0,39,38,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,90384.0,91543.0,90813.33333333331,22,16,311,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,312.0,94.0,94.0,90.0,92.0 +27.0,10,15,0.0,56,,42.0,11.0,96616.0,201.656,hulkenberg,27.0,German,haas,American,2023,1,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,0.0,9.0,0.0,91204.0,90809.0,90809.0,37,36,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,90809.0,91204.0,90940.66666666669,23,13,185,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,260.0,79.0,81.0,80.0,80.0 +20.0,17,13,0.0,56,,42.0,8.0,96471.0,201.959,kevin_magnussen,20.0,Danish,haas,American,2023,1,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,0.0,9.0,0.0,91892.0,91892.0,91892.0,32,31,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,91892.0,91892.0,91892.0,22,9,143,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,236.0,79.0,85.0,82.0,81.0 +1.0,1,1,25.0,57,5636736.0,44.0,6.0,96236.0,202.452,max_verstappen,33.0,Dutch,red_bull,Austrian,2023,1,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,43.0,1.0,1.0,91295.0,90503.0,89708.0,27,26,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,89708.0,91295.0,90502.0,18,8,164,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,250.0,97.0,85.0,95.0,94.0 +4.0,11,17,0.0,55,,51.0,3.0,95822.0,203.327,norris,4.0,British,mclaren,British,2023,1,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+2 Laps,0.0,0.0,10.0,0.0,91652.0,91381.0,91381.0,25,24,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,91381.0,91652.0,91471.33333333331,20,4,83,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,212.0,91.0,79.0,91.0,89.0 +11.0,2,2,18.0,57,5648723.0,37.0,7.0,96344.0,202.225,perez,11.0,Mexican,red_bull,Austrian,2023,1,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,43.0,1.0,1.0,91479.0,90746.0,89846.0,34,33,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,89846.0,91479.0,90690.33333333331,21,12,238,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,284.0,93.0,86.0,87.0,89.0 +63.0,6,7,6.0,57,5692609.0,33.0,17.0,97221.0,200.401,russell,63.0,British,mercedes,German,2023,1,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,16.0,3.0,0.0,91057.0,90507.0,90340.0,26,25,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,90340.0,91057.0,90634.66666666669,21,4,83,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,212.0,87.0,83.0,91.0,88.0 +55.0,4,4,12.0,57,5684788.0,37.0,14.0,97130.0,200.588,sainz,55.0,Spanish,ferrari,Italian,2023,1,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,12.0,4.0,0.0,90993.0,90515.0,90154.0,30,29,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,90154.0,90993.0,90554.0,21,8,164,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,250.0,92.0,81.0,87.0,88.0 +2.0,16,12,0.0,56,,42.0,4.0,96037.0,202.871,sargeant,2.0,American,williams,British,2023,1,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,1.0,7.0,0.0,91652.0,91652.0,91652.0,24,23,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,91652.0,91652.0,91652.0,23,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,78.0,84.0,75.0,67.0,71.0 +18.0,8,6,8.0,57,5691238.0,32.0,9.0,96546.0,201.802,stroll,18.0,Canadian,aston_martin,British,2023,1,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,23.0,2.0,0.0,91184.0,91127.0,90836.0,26,25,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,90836.0,91184.0,91049.0,19,6,123,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,226.0,91.0,78.0,81.0,84.0 +22.0,14,11,0.0,57,5727606.0,42.0,12.0,96637.0,201.612,tsunoda,22.0,Japanese,alphatauri,Italian,2023,1,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,Finished,0.0,0.0,8.0,0.0,91400.0,92510.0,92510.0,24,23,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,91400.0,92510.0,92140.0,21,2,45,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,178.0,79.0,75.0,87.0,83.0 +24.0,13,16,0.0,56,,56.0,1.0,93996.0,207.276,zhou,24.0,Chinese,alfa,Swiss,2023,1,Bahrain Grand Prix,54000000.0,bahrain,Sakhir,Bahrain,26.0325,50.5106,7.0,+1 Lap,0.0,4.0,5.0,0.0,91615.0,91473.0,91473.0,25,24,Clear,1,0,0,0,0,Race circuit,Clockwise,5.412,57.0,308.238,91473.0,91615.0,91520.33333333331,23,1,23,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,150.0,78.0,74.0,81.0,78.0 +14.0,2,3,15.0,50,4895622.0,50.0,3.0,92240.0,240.962,alonso,14.0,Spanish,aston_martin,British,2023,2,Saudi Arabian Grand Prix,61200000.0,jeddah,Jeddah,Saudi Arabia,21.6319,39.1044,15.0,Finished,0.0,38.0,2.0,0.0,89298.0,88757.0,88730.0,43,42,Clear,1,0,0,0,0,Street circuit,Anti-clockwise,6.174,50.0,308.45,88730.0,89298.0,88928.33333333333,25,17,290,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,322.0,91.0,78.0,93.0,92.0 +77.0,14,18,0.0,49,,37.0,17.0,94384.0,235.489,bottas,77.0,Finnish,alfa,Swiss,2023,2,Saudi Arabian Grand Prix,61200000.0,jeddah,Jeddah,Saudi Arabia,21.6319,39.1044,15.0,+1 Lap,0.0,4.0,6.0,0.0,89929.0,89668.0,89668.0,35,34,Clear,1,0,0,0,0,Street circuit,Anti-clockwise,6.174,50.0,308.45,89668.0,89929.0,89755.0,24,10,203,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,269.0,86.0,97.0,86.0,87.0 +21.0,18,14,0.0,50,4952372.0,49.0,11.0,93609.0,237.438,de_vries,21.0,Dutch,alphatauri,Italian,2023,2,Saudi Arabian Grand Prix,61200000.0,jeddah,Jeddah,Saudi Arabia,21.6319,39.1044,15.0,Finished,0.0,0.0,9.0,0.0,90244.0,90244.0,90244.0,29,28,Clear,1,0,0,0,0,Street circuit,Anti-clockwise,6.174,50.0,308.45,90244.0,90244.0,90244.0,27,1,3,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,87.0,84.0,75.0,67.0,71.0 +10.0,9,9,2.0,50,4929641.0,50.0,10.0,93392.0,237.99,gasly,10.0,French,alpine,French,2023,2,Saudi Arabian Grand Prix,61200000.0,jeddah,Jeddah,Saudi Arabia,21.6319,39.1044,15.0,Finished,0.0,8.0,5.0,0.0,89890.0,89411.0,89357.0,28,27,Clear,1,0,0,0,0,Street circuit,Anti-clockwise,6.174,50.0,308.45,89357.0,89890.0,89552.66666666667,21,6,110,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,221.0,89.0,76.0,85.0,85.0 +44.0,7,5,10.0,50,4905959.0,47.0,6.0,92941.0,239.145,hamilton,44.0,British,mercedes,German,2023,2,Saudi Arabian Grand Prix,61200000.0,jeddah,Jeddah,Saudi Arabia,21.6319,39.1044,15.0,Finished,0.0,38.0,3.0,0.0,89689.0,89374.0,89223.0,39,38,Clear,1,0,0,0,0,Street circuit,Anti-clockwise,6.174,50.0,308.45,89223.0,89689.0,89428.66666666667,22,16,312,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,312.0,94.0,94.0,90.0,92.0 +27.0,10,12,0.0,50,4945482.0,50.0,12.0,93780.0,237.005,hulkenberg,27.0,German,haas,American,2023,2,Saudi Arabian Grand Prix,61200000.0,jeddah,Jeddah,Saudi Arabia,21.6319,39.1044,15.0,Finished,0.0,1.0,7.0,0.0,89547.0,89451.0,89451.0,37,36,Clear,1,0,0,0,0,Street circuit,Anti-clockwise,6.174,50.0,308.45,89451.0,89547.0,89483.0,23,13,186,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,260.0,79.0,81.0,80.0,80.0 +20.0,13,10,1.0,50,4939720.0,44.0,9.0,93374.0,238.036,kevin_magnussen,20.0,Danish,haas,American,2023,2,Saudi Arabian Grand Prix,61200000.0,jeddah,Jeddah,Saudi Arabia,21.6319,39.1044,15.0,Finished,0.0,1.0,7.0,0.0,89744.0,89634.0,89634.0,32,31,Clear,1,0,0,0,0,Street circuit,Anti-clockwise,6.174,50.0,308.45,89634.0,89744.0,89670.66666666667,22,9,144,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,236.0,79.0,85.0,82.0,81.0 +16.0,12,7,6.0,50,4918056.0,47.0,7.0,93056.0,238.849,leclerc,16.0,Monegasque,ferrari,Italian,2023,2,Saudi Arabian Grand Prix,61200000.0,jeddah,Jeddah,Saudi Arabia,21.6319,39.1044,15.0,Finished,0.0,26.0,4.0,0.0,89376.0,88903.0,88420.0,27,26,Clear,1,0,0,0,0,Street circuit,Anti-clockwise,6.174,50.0,308.45,88420.0,89376.0,88899.66666666667,21,5,105,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,217.0,92.0,85.0,90.0,89.0 +1.0,15,2,19.0,50,4880249.0,50.0,1.0,91906.0,241.838,max_verstappen,33.0,Dutch,red_bull,Austrian,2023,2,Saudi Arabian Grand Prix,61200000.0,jeddah,Jeddah,Saudi Arabia,21.6319,39.1044,15.0,Finished,1.0,87.0,1.0,2.0,88761.0,109953.0,109953.0,27,26,Clear,1,0,0,0,0,Street circuit,Anti-clockwise,6.174,50.0,308.45,88761.0,109953.0,102889.0,18,8,165,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,250.0,97.0,85.0,95.0,94.0 +4.0,19,17,0.0,50,4961339.0,49.0,15.0,94122.0,236.144,norris,4.0,British,mclaren,British,2023,2,Saudi Arabian Grand Prix,61200000.0,jeddah,Jeddah,Saudi Arabia,21.6319,39.1044,15.0,Finished,0.0,0.0,10.0,0.0,90447.0,90447.0,90447.0,25,24,Clear,1,0,0,0,0,Street circuit,Anti-clockwise,6.174,50.0,308.45,90447.0,90447.0,90447.0,20,4,84,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,212.0,91.0,79.0,91.0,89.0 +31.0,6,8,4.0,50,4927726.0,49.0,8.0,93222.0,238.424,ocon,31.0,French,alpine,French,2023,2,Saudi Arabian Grand Prix,61200000.0,jeddah,Jeddah,Saudi Arabia,21.6319,39.1044,15.0,Finished,0.0,8.0,5.0,0.0,89707.0,89255.0,89078.0,28,27,Clear,1,0,0,0,0,Street circuit,Anti-clockwise,6.174,50.0,308.45,89078.0,89707.0,89346.66666666667,20,7,113,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,217.0,92.0,76.0,86.0,86.0 +11.0,1,1,25.0,50,4874894.0,38.0,2.0,92188.0,241.098,perez,11.0,Mexican,red_bull,Austrian,2023,2,Saudi Arabian Grand Prix,61200000.0,jeddah,Jeddah,Saudi Arabia,21.6319,39.1044,15.0,Finished,0.0,87.0,1.0,2.0,89244.0,88635.0,88265.0,34,33,Clear,1,0,0,0,0,Street circuit,Anti-clockwise,6.174,50.0,308.45,88265.0,89244.0,88714.66666666667,21,12,239,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,284.0,93.0,86.0,87.0,89.0 +81.0,8,15,0.0,50,4959915.0,48.0,16.0,94287.0,235.731,piastri,81.0,Australian,mclaren,British,2023,2,Saudi Arabian Grand Prix,61200000.0,jeddah,Jeddah,Saudi Arabia,21.6319,39.1044,15.0,Finished,0.0,0.0,10.0,0.0,89706.0,89378.0,89243.0,23,22,Clear,1,0,0,0,0,Street circuit,Anti-clockwise,6.174,50.0,308.45,89243.0,89706.0,89442.33333333333,22,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,202.0,73.0,79.0,77.0,74.0 +63.0,3,4,12.0,50,4900760.0,50.0,4.0,92433.0,240.459,russell,63.0,British,mercedes,German,2023,2,Saudi Arabian Grand Prix,61200000.0,jeddah,Jeddah,Saudi Arabia,21.6319,39.1044,15.0,Finished,0.0,38.0,3.0,0.0,89592.0,89132.0,88857.0,26,25,Clear,1,0,0,0,0,Street circuit,Anti-clockwise,6.174,50.0,308.45,88857.0,89592.0,89193.66666666667,21,4,84,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,212.0,87.0,83.0,91.0,88.0 +55.0,4,6,8.0,50,4910770.0,50.0,5.0,92822.0,239.451,sainz,55.0,Spanish,ferrari,Italian,2023,2,Saudi Arabian Grand Prix,61200000.0,jeddah,Jeddah,Saudi Arabia,21.6319,39.1044,15.0,Finished,0.0,26.0,4.0,0.0,89411.0,88957.0,88931.0,30,29,Clear,1,0,0,0,0,Street circuit,Anti-clockwise,6.174,50.0,308.45,88931.0,89411.0,89099.66666666667,21,8,165,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,250.0,92.0,81.0,87.0,88.0 +2.0,20,16,0.0,50,4961187.0,49.0,18.0,94469.0,235.277,sargeant,2.0,American,williams,British,2023,2,Saudi Arabian Grand Prix,61200000.0,jeddah,Jeddah,Saudi Arabia,21.6319,39.1044,15.0,Finished,0.0,1.0,8.0,0.0,128510.0,128510.0,128510.0,24,23,Clear,1,0,0,0,0,Street circuit,Anti-clockwise,6.174,50.0,308.45,128510.0,128510.0,128510.0,23,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,78.0,84.0,75.0,67.0,71.0 +22.0,16,11,0.0,50,4942388.0,50.0,14.0,93931.0,236.624,tsunoda,22.0,Japanese,alphatauri,Italian,2023,2,Saudi Arabian Grand Prix,61200000.0,jeddah,Jeddah,Saudi Arabia,21.6319,39.1044,15.0,Finished,0.0,0.0,9.0,0.0,89939.0,89939.0,89939.0,24,23,Clear,1,0,0,0,0,Street circuit,Anti-clockwise,6.174,50.0,308.45,89939.0,89939.0,89939.0,21,2,46,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,178.0,79.0,75.0,87.0,83.0 +24.0,11,13,0.0,50,4950954.0,49.0,13.0,93894.0,236.718,zhou,24.0,Chinese,alfa,Swiss,2023,2,Saudi Arabian Grand Prix,61200000.0,jeddah,Jeddah,Saudi Arabia,21.6319,39.1044,15.0,Finished,0.0,4.0,6.0,0.0,89654.0,89461.0,89461.0,25,24,Clear,1,0,0,0,0,Street circuit,Anti-clockwise,6.174,50.0,308.45,89461.0,89654.0,89525.33333333333,23,1,24,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,150.0,78.0,74.0,81.0,78.0 +14.0,4,3,15.0,58,9159140.0,53.0,4.0,80476.0,236.105,alonso,14.0,Spanish,aston_martin,British,2023,3,Australian Grand Prix,18000000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,65.0,2.0,0.0,77832.0,77283.0,77139.0,43,42,Sunny,1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,77139.0,77832.0,77418.0,25,17,291,2,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,322.0,91.0,78.0,93.0,92.0 +77.0,19,11,0.0,58,9164884.0,46.0,17.0,82233.0,231.06,bottas,77.0,Finnish,alfa,Swiss,2023,3,Australian Grand Prix,18000000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,6.0,8.0,0.0,78714.0,78714.0,78714.0,35,34,Sunny,1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,78714.0,78714.0,78714.0,24,10,204,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,269.0,86.0,97.0,86.0,87.0 +44.0,3,2,18.0,58,9158550.0,49.0,5.0,80613.0,235.703,hamilton,44.0,British,mercedes,German,2023,3,Australian Grand Prix,18000000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,56.0,3.0,0.0,77689.0,77551.0,77104.0,39,38,Sunny,1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,77104.0,77689.0,77448.0,22,16,313,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,312.0,94.0,94.0,90.0,92.0 +27.0,10,7,6.0,58,9163310.0,46.0,8.0,81124.0,234.219,hulkenberg,27.0,German,haas,American,2023,3,Australian Grand Prix,18000000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,7.0,7.0,0.0,78029.0,77412.0,77735.0,37,36,Sunny,1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,77412.0,78029.0,77725.33333333333,23,13,187,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,260.0,79.0,81.0,80.0,80.0 +1.0,1,1,25.0,58,9158371.0,49.0,2.0,80342.0,236.498,max_verstappen,33.0,Dutch,red_bull,Austrian,2023,3,Australian Grand Prix,18000000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,1.0,123.0,1.0,3.0,77384.0,77056.0,76732.0,27,26,Sunny,1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,76732.0,77384.0,77057.33333333333,18,8,166,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,250.0,97.0,85.0,95.0,94.0 +4.0,13,6,8.0,58,9162072.0,46.0,9.0,81173.0,234.077,norris,4.0,British,mclaren,British,2023,3,Australian Grand Prix,18000000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,12.0,5.0,0.0,78243.0,78119.0,78119.0,25,24,Sunny,1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,78119.0,78243.0,78160.33333333333,20,4,85,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,212.0,91.0,79.0,91.0,89.0 +11.0,19,5,11.0,58,9161691.0,53.0,1.0,80235.0,236.814,perez,11.0,Mexican,red_bull,Austrian,2023,3,Australian Grand Prix,18000000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,1.0,123.0,1.0,3.0,78714.0,78714.0,78714.0,34,33,Sunny,1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,78714.0,78714.0,78714.0,21,12,240,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,284.0,93.0,86.0,87.0,89.0 +81.0,16,8,4.0,58,9163753.0,53.0,12.0,81335.0,233.611,piastri,81.0,Australian,mclaren,British,2023,3,Australian Grand Prix,18000000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,12.0,5.0,0.0,78517.0,78517.0,78517.0,23,22,Sunny,1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,78517.0,78517.0,78517.0,22,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,202.0,73.0,79.0,77.0,74.0 +55.0,5,12,0.0,58,9164965.0,53.0,3.0,80467.0,236.131,sainz,55.0,Spanish,ferrari,Italian,2023,3,Australian Grand Prix,18000000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,26.0,4.0,0.0,77928.0,77349.0,77270.0,30,29,Sunny,1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,77270.0,77928.0,77515.66666666667,21,8,166,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,250.0,92.0,81.0,87.0,88.0 +18.0,6,4,12.0,58,9161453.0,50.0,6.0,80934.0,234.769,stroll,18.0,Canadian,aston_martin,British,2023,3,Australian Grand Prix,18000000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,65.0,2.0,0.0,77873.0,77616.0,77308.0,26,25,Sunny,1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,77308.0,77873.0,77599.0,19,6,125,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,226.0,91.0,78.0,81.0,84.0 +22.0,12,10,1.0,58,9164423.0,52.0,15.0,81789.0,232.314,tsunoda,22.0,Japanese,alphatauri,Italian,2023,3,Australian Grand Prix,18000000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,1.0,9.0,0.0,78471.0,78099.0,78099.0,24,23,Sunny,1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,78099.0,78471.0,78223.0,21,2,47,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,178.0,79.0,75.0,87.0,83.0 +24.0,17,9,2.0,58,9164084.0,48.0,16.0,81819.0,232.229,zhou,24.0,Chinese,alfa,Swiss,2023,3,Australian Grand Prix,18000000.0,albert_park,Melbourne,Australia,-37.8497,144.968,10.0,Finished,0.0,6.0,8.0,0.0,78540.0,78540.0,78540.0,25,24,Sunny,1,0,0,0,0,Street circuit,Clockwise,5.278,58.0,306.124,78540.0,78540.0,78540.0,23,1,25,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,150.0,78.0,74.0,81.0,78.0 +23.0,12,12,0.0,51,5651059.0,51.0,15.0,105925.0,204.019,albon,23.0,Thai,williams,British,2023,4,Azerbaijan Grand Prix,39600000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,1.0,10.0,0.0,102171.0,101818.0,101818.0,28,27,Partly cloudy,0,0,0,0,1,Street circuit,Anti-clockwise,6.003,51.0,306.049,101818.0,102171.0,101935.66666666669,23,4,63,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,207.0,81.0,78.0,86.0,83.0 +14.0,6,4,12.0,51,5584460.0,49.0,3.0,104241.0,207.315,alonso,14.0,Spanish,aston_martin,British,2023,4,Azerbaijan Grand Prix,39600000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,87.0,2.0,0.0,101720.0,101370.0,101253.0,43,42,Partly cloudy,0,0,0,0,1,Street circuit,Anti-clockwise,6.003,51.0,306.049,101253.0,101720.0,101447.66666666669,25,17,292,3,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,322.0,91.0,78.0,93.0,92.0 +77.0,13,18,0.0,50,,36.0,16.0,106304.0,203.292,bottas,77.0,Finnish,alfa,Swiss,2023,4,Azerbaijan Grand Prix,39600000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,+1 Lap,0.0,6.0,8.0,0.0,102582.0,102259.0,102259.0,35,34,Partly cloudy,0,0,0,0,1,Street circuit,Anti-clockwise,6.003,51.0,306.049,102259.0,102582.0,102366.66666666669,24,10,205,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,269.0,86.0,97.0,86.0,87.0 +10.0,17,14,0.0,51,5653768.0,47.0,8.0,105540.0,204.764,gasly,10.0,French,alpine,French,2023,4,Azerbaijan Grand Prix,39600000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,8.0,6.0,0.0,104853.0,104853.0,104853.0,28,27,Partly cloudy,0,0,0,0,1,Street circuit,Anti-clockwise,6.003,51.0,306.049,104853.0,104853.0,104853.0,21,6,112,0,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,221.0,89.0,76.0,85.0,85.0 +44.0,5,6,8.0,51,5608581.0,48.0,7.0,105346.0,205.141,hamilton,44.0,British,mercedes,German,2023,4,Azerbaijan Grand Prix,39600000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,76.0,3.0,0.0,102113.0,101650.0,101177.0,39,38,Partly cloudy,0,0,0,0,1,Street circuit,Anti-clockwise,6.003,51.0,306.049,101177.0,102113.0,101646.66666666669,22,16,314,1,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,312.0,94.0,94.0,90.0,92.0 +27.0,19,17,0.0,50,,34.0,18.0,106731.0,202.479,hulkenberg,27.0,German,haas,American,2023,4,Azerbaijan Grand Prix,39600000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,+1 Lap,0.0,7.0,7.0,0.0,102755.0,102755.0,102755.0,37,36,Partly cloudy,0,0,0,0,1,Street circuit,Anti-clockwise,6.003,51.0,306.049,102755.0,102755.0,102755.0,23,13,188,0,0,0,0,0,0,1,0,0,0,0,1,0,0,1,0,0,0,260.0,79.0,81.0,80.0,80.0 +20.0,16,13,0.0,51,5652165.0,51.0,13.0,105850.0,204.164,kevin_magnussen,20.0,Danish,haas,American,2023,4,Azerbaijan Grand Prix,39600000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,7.0,7.0,0.0,103417.0,103417.0,103417.0,32,31,Partly cloudy,0,0,0,0,1,Street circuit,Anti-clockwise,6.003,51.0,306.049,103417.0,103417.0,103417.0,22,9,146,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,1,0,236.0,79.0,85.0,82.0,81.0 +16.0,1,3,15.0,51,5583653.0,49.0,4.0,104561.0,206.681,leclerc,16.0,Monegasque,ferrari,Italian,2023,4,Azerbaijan Grand Prix,39600000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,62.0,4.0,0.0,101269.0,101037.0,100203.0,27,26,Partly cloudy,0,0,0,0,1,Street circuit,Anti-clockwise,6.003,51.0,306.049,100203.0,101269.0,100836.33333333331,21,5,107,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,217.0,92.0,85.0,90.0,89.0 +1.0,2,2,18.0,51,5564573.0,51.0,2.0,104232.0,207.333,max_verstappen,33.0,Dutch,red_bull,Austrian,2023,4,Azerbaijan Grand Prix,39600000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,2.0,180.0,1.0,4.0,101398.0,100822.0,100391.0,27,26,Partly cloudy,0,0,0,0,1,Street circuit,Anti-clockwise,6.003,51.0,306.049,100391.0,101398.0,100870.33333333331,18,8,167,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,250.0,97.0,85.0,95.0,94.0 +4.0,7,9,2.0,51,5642812.0,49.0,12.0,105738.0,204.38,norris,4.0,British,mclaren,British,2023,4,Azerbaijan Grand Prix,39600000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,14.0,5.0,0.0,102154.0,101485.0,101281.0,25,24,Partly cloudy,0,0,0,0,1,Street circuit,Anti-clockwise,6.003,51.0,306.049,101281.0,102154.0,101640.0,20,4,86,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,2,0,212.0,91.0,79.0,91.0,89.0 +31.0,19,15,0.0,51,5660230.0,49.0,14.0,105908.0,204.052,ocon,31.0,French,alpine,French,2023,4,Azerbaijan Grand Prix,39600000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,8.0,6.0,0.0,102622.0,101798.0,101798.0,28,27,Partly cloudy,0,0,0,0,1,Street circuit,Anti-clockwise,6.003,51.0,306.049,101798.0,102622.0,102072.66666666669,20,7,115,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,1,217.0,92.0,76.0,86.0,86.0 +11.0,3,1,25.0,51,5562436.0,50.0,5.0,104589.0,206.625,perez,11.0,Mexican,red_bull,Austrian,2023,4,Azerbaijan Grand Prix,39600000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,1.0,180.0,1.0,4.0,101756.0,101131.0,100495.0,34,33,Partly cloudy,0,0,0,0,1,Street circuit,Anti-clockwise,6.003,51.0,306.049,100495.0,101756.0,101127.33333333331,21,12,241,2,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,284.0,93.0,86.0,87.0,89.0 +81.0,10,11,0.0,51,5648937.0,51.0,10.0,105631.0,204.587,piastri,81.0,Australian,mclaren,British,2023,4,Azerbaijan Grand Prix,39600000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,14.0,5.0,0.0,102455.0,101636.0,101611.0,23,22,Partly cloudy,0,0,0,0,1,Street circuit,Anti-clockwise,6.003,51.0,306.049,101611.0,102455.0,101900.66666666669,22,0,4,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,202.0,73.0,79.0,77.0,74.0 +63.0,11,8,5.0,51,5636676.0,51.0,1.0,103370.0,209.062,russell,63.0,British,mercedes,German,2023,4,Azerbaijan Grand Prix,39600000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,76.0,3.0,0.0,102073.0,101654.0,101654.0,26,25,Partly cloudy,0,0,0,0,1,Street circuit,Anti-clockwise,6.003,51.0,306.049,101654.0,102073.0,101793.66666666669,21,4,86,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,1,212.0,87.0,83.0,91.0,88.0 +55.0,4,5,10.0,51,5607927.0,48.0,6.0,105175.0,205.474,sainz,55.0,Spanish,ferrari,Italian,2023,4,Azerbaijan Grand Prix,39600000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,62.0,4.0,0.0,102197.0,101369.0,101016.0,30,29,Partly cloudy,0,0,0,0,1,Street circuit,Anti-clockwise,6.003,51.0,306.049,101016.0,102197.0,101527.33333333331,21,8,167,0,0,0,1,0,1,0,0,0,0,0,1,0,0,0,0,0,0,250.0,92.0,81.0,87.0,88.0 +2.0,14,16,0.0,51,5663379.0,49.0,17.0,106501.0,202.916,sargeant,2.0,American,williams,British,2023,4,Azerbaijan Grand Prix,39600000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,1.0,10.0,0.0,102242.0,102395.0,102395.0,24,23,Partly cloudy,0,0,0,0,1,Street circuit,Anti-clockwise,6.003,51.0,306.049,102242.0,102395.0,102344.0,23,0,4,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,2,0,0,78.0,84.0,75.0,67.0,71.0 +18.0,9,7,6.0,51,5614053.0,45.0,9.0,105627.0,204.595,stroll,18.0,Canadian,aston_martin,British,2023,4,Azerbaijan Grand Prix,39600000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,87.0,2.0,0.0,102524.0,101576.0,101611.0,26,25,Partly cloudy,0,0,0,0,1,Street circuit,Anti-clockwise,6.003,51.0,306.049,101576.0,102524.0,101903.66666666669,19,6,126,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,226.0,91.0,78.0,81.0,84.0 +22.0,8,10,1.0,51,5646298.0,51.0,11.0,105727.0,204.401,tsunoda,22.0,Japanese,alphatauri,Italian,2023,4,Azerbaijan Grand Prix,39600000.0,baku,Baku,Azerbaijan,40.3725,49.8533,-7.0,Finished,0.0,2.0,9.0,0.0,102234.0,101569.0,101581.0,24,23,Partly cloudy,0,0,0,0,1,Street circuit,Anti-clockwise,6.003,51.0,306.049,101569.0,102234.0,101794.66666666669,21,2,48,0,0,0,0,0,0,0,0,0,1,2,0,0,0,0,0,0,0,178.0,79.0,75.0,87.0,83.0 +23.0,11,14,0.0,57,5331102.0,55.0,16.0,91852.0,212.115,albon,23.0,Thai,williams,British,2023,5,Miami Grand Prix,70200000.0,miami,Miami,USA,25.9581,-80.2389,2.0,Finished,0.0,1.0,10.0,0.0,88234.0,87795.0,87795.0,28,27,Partly cloudy,0,0,0,0,1,Street circuit,Anti-clockwise,5.412,57.0,308.326,87795.0,88234.0,87941.33333333333,23,4,64,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,207.0,81.0,78.0,86.0,83.0 +14.0,2,3,15.0,57,5284546.0,57.0,2.0,90519.0,215.238,alonso,14.0,Spanish,aston_martin,British,2023,5,Miami Grand Prix,70200000.0,miami,Miami,USA,25.9581,-80.2389,2.0,Finished,0.0,102.0,2.0,0.0,88179.0,87097.0,87202.0,43,42,Partly cloudy,0,0,0,0,1,Street circuit,Anti-clockwise,5.412,57.0,308.326,87097.0,88179.0,87492.66666666667,25,17,293,3,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,322.0,91.0,78.0,93.0,92.0 +77.0,10,13,0.0,57,5329878.0,56.0,15.0,91838.0,212.147,bottas,77.0,Finnish,alfa,Swiss,2023,5,Miami Grand Prix,70200000.0,miami,Miami,USA,25.9581,-80.2389,2.0,Finished,0.0,6.0,8.0,0.0,87864.0,87564.0,87564.0,35,34,Partly cloudy,0,0,0,0,1,Street circuit,Anti-clockwise,5.412,57.0,308.326,87564.0,87864.0,87664.0,24,10,206,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,2,269.0,86.0,97.0,86.0,87.0 +21.0,15,18,0.0,57,5347190.0,57.0,12.0,91562.0,212.786,de_vries,21.0,Dutch,alphatauri,Italian,2023,5,Miami Grand Prix,70200000.0,miami,Miami,USA,25.9581,-80.2389,2.0,Finished,0.0,2.0,9.0,0.0,88325.0,88395.0,88395.0,29,28,Partly cloudy,0,0,0,0,1,Street circuit,Anti-clockwise,5.412,57.0,308.326,88325.0,88395.0,88371.66666666667,27,1,6,0,0,0,0,0,0,0,0,0,0,0,0,0,2,1,0,0,0,87.0,84.0,75.0,67.0,71.0 +10.0,5,8,4.0,57,5313911.0,55.0,17.0,91971.0,211.84,gasly,10.0,French,alpine,French,2023,5,Miami Grand Prix,70200000.0,miami,Miami,USA,25.9581,-80.2389,2.0,Finished,0.0,14.0,6.0,0.0,88061.0,87612.0,87786.0,28,27,Partly cloudy,0,0,0,0,1,Street circuit,Anti-clockwise,5.412,57.0,308.326,87612.0,88061.0,87819.66666666667,21,6,113,0,0,0,0,0,0,0,0,2,0,0,0,1,1,0,0,0,0,221.0,89.0,76.0,85.0,85.0 +44.0,13,6,8.0,57,5309490.0,57.0,4.0,90669.0,214.882,hamilton,44.0,British,mercedes,German,2023,5,Miami Grand Prix,70200000.0,miami,Miami,USA,25.9581,-80.2389,2.0,Finished,0.0,96.0,3.0,0.0,87846.0,87975.0,87975.0,39,38,Partly cloudy,0,0,0,0,1,Street circuit,Anti-clockwise,5.412,57.0,308.326,87846.0,87975.0,87932.0,22,16,315,1,1,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,312.0,94.0,94.0,90.0,92.0 +27.0,12,15,0.0,57,5333191.0,36.0,6.0,90901.0,214.334,hulkenberg,27.0,German,haas,American,2023,5,Miami Grand Prix,70200000.0,miami,Miami,USA,25.9581,-80.2389,2.0,Finished,0.0,8.0,7.0,0.0,87945.0,87903.0,87903.0,37,36,Partly cloudy,0,0,0,0,1,Street circuit,Anti-clockwise,5.412,57.0,308.326,87903.0,87945.0,87917.0,23,13,189,0,0,0,0,0,0,1,0,0,0,0,1,0,0,1,0,1,0,260.0,79.0,81.0,80.0,80.0 +20.0,4,10,1.0,57,5321186.0,53.0,13.0,91691.0,212.487,kevin_magnussen,20.0,Danish,haas,American,2023,5,Miami Grand Prix,70200000.0,miami,Miami,USA,25.9581,-80.2389,2.0,Finished,0.0,8.0,7.0,0.0,87809.0,87673.0,87767.0,32,31,Partly cloudy,0,0,0,0,1,Street circuit,Anti-clockwise,5.412,57.0,308.326,87673.0,87809.0,87749.66666666667,22,9,147,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,0,1,0,236.0,79.0,85.0,82.0,81.0 +16.0,7,7,6.0,57,5311229.0,57.0,11.0,91434.0,213.084,leclerc,16.0,Monegasque,ferrari,Italian,2023,5,Miami Grand Prix,70200000.0,miami,Miami,USA,25.9581,-80.2389,2.0,Finished,0.0,78.0,4.0,0.0,87713.0,86964.0,87861.0,27,26,Partly cloudy,0,0,0,0,1,Street circuit,Anti-clockwise,5.412,57.0,308.326,86964.0,87861.0,87512.66666666667,21,5,108,1,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,217.0,92.0,85.0,90.0,89.0 +1.0,9,1,26.0,57,5258241.0,56.0,1.0,89708.0,217.184,max_verstappen,33.0,Dutch,red_bull,Austrian,2023,5,Miami Grand Prix,70200000.0,miami,Miami,USA,25.9581,-80.2389,2.0,Finished,2.0,224.0,1.0,5.0,87363.0,86814.0,86814.0,27,26,Partly cloudy,0,0,0,0,1,Street circuit,Anti-clockwise,5.412,57.0,308.326,86814.0,87363.0,86997.0,18,8,168,4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,250.0,97.0,85.0,95.0,94.0 +4.0,16,17,0.0,57,5345958.0,47.0,20.0,92401.0,210.854,norris,4.0,British,mclaren,British,2023,5,Miami Grand Prix,70200000.0,miami,Miami,USA,25.9581,-80.2389,2.0,Finished,0.0,14.0,5.0,0.0,88394.0,88394.0,88394.0,25,24,Partly cloudy,0,0,0,0,1,Street circuit,Anti-clockwise,5.412,57.0,308.326,88394.0,88394.0,88394.0,20,4,87,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,2,0,212.0,91.0,79.0,91.0,89.0 +31.0,8,9,2.0,57,5316364.0,56.0,9.0,91143.0,213.765,ocon,31.0,French,alpine,French,2023,5,Miami Grand Prix,70200000.0,miami,Miami,USA,25.9581,-80.2389,2.0,Finished,0.0,14.0,6.0,0.0,87872.0,87444.0,87935.0,28,27,Partly cloudy,0,0,0,0,1,Street circuit,Anti-clockwise,5.412,57.0,308.326,87444.0,87935.0,87750.33333333333,20,7,116,0,0,0,0,0,0,0,1,0,0,0,0,0,1,1,0,0,1,217.0,92.0,76.0,86.0,86.0 +11.0,1,2,18.0,57,5263625.0,57.0,3.0,90560.0,215.141,perez,11.0,Mexican,red_bull,Austrian,2023,5,Miami Grand Prix,70200000.0,miami,Miami,USA,25.9581,-80.2389,2.0,Finished,2.0,224.0,1.0,5.0,87713.0,87328.0,86841.0,34,33,Partly cloudy,0,0,0,0,1,Street circuit,Anti-clockwise,5.412,57.0,308.326,86841.0,87713.0,87294.0,21,12,242,3,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,284.0,93.0,86.0,87.0,89.0 +81.0,19,19,0.0,56,,56.0,18.0,92006.0,211.76,piastri,81.0,Australian,mclaren,British,2023,5,Miami Grand Prix,70200000.0,miami,Miami,USA,25.9581,-80.2389,2.0,+1 Lap,0.0,14.0,5.0,0.0,88484.0,88484.0,88484.0,23,22,Partly cloudy,0,0,0,0,1,Street circuit,Anti-clockwise,5.412,57.0,308.326,88484.0,88484.0,88484.0,22,0,5,0,0,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,0,202.0,73.0,79.0,77.0,74.0 +63.0,6,4,12.0,57,5291470.0,57.0,7.0,91015.0,214.065,russell,63.0,British,mercedes,German,2023,5,Miami Grand Prix,70200000.0,miami,Miami,USA,25.9581,-80.2389,2.0,Finished,0.0,96.0,3.0,0.0,88086.0,87743.0,87804.0,26,25,Partly cloudy,0,0,0,0,1,Street circuit,Anti-clockwise,5.412,57.0,308.326,87743.0,88086.0,87877.66666666667,21,4,87,0,0,0,1,0,0,1,1,0,0,0,0,0,0,0,0,0,1,212.0,87.0,83.0,91.0,88.0 +55.0,3,5,10.0,57,5300752.0,55.0,10.0,91362.0,213.252,sainz,55.0,Spanish,ferrari,Italian,2023,5,Miami Grand Prix,70200000.0,miami,Miami,USA,25.9581,-80.2389,2.0,Finished,0.0,78.0,4.0,0.0,87686.0,87148.0,87349.0,30,29,Partly cloudy,0,0,0,0,1,Street circuit,Anti-clockwise,5.412,57.0,308.326,87148.0,87686.0,87394.33333333333,21,8,168,0,0,0,1,1,1,0,0,0,0,0,1,0,0,0,0,0,0,250.0,92.0,81.0,87.0,88.0 +2.0,20,20,0.0,56,,50.0,19.0,92384.0,210.893,sargeant,2.0,American,williams,British,2023,5,Miami Grand Prix,70200000.0,miami,Miami,USA,25.9581,-80.2389,2.0,+1 Lap,0.0,1.0,10.0,0.0,88577.0,88577.0,88577.0,24,23,Partly cloudy,0,0,0,0,1,Street circuit,Anti-clockwise,5.412,57.0,308.326,88577.0,88577.0,88577.0,23,0,5,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,3,0,0,78.0,84.0,75.0,67.0,71.0 +18.0,18,12,0.0,57,5322995.0,44.0,5.0,90862.0,214.426,stroll,18.0,Canadian,aston_martin,British,2023,5,Miami Grand Prix,70200000.0,miami,Miami,USA,25.9581,-80.2389,2.0,Finished,0.0,102.0,2.0,0.0,88476.0,88476.0,88476.0,26,25,Partly cloudy,0,0,0,0,1,Street circuit,Anti-clockwise,5.412,57.0,308.326,88476.0,88476.0,88476.0,19,6,127,0,0,0,1,0,1,1,0,0,0,0,0,0,0,0,0,0,0,226.0,91.0,78.0,81.0,84.0 +22.0,17,11,0.0,57,5322550.0,56.0,8.0,91038.0,214.011,tsunoda,22.0,Japanese,alphatauri,Italian,2023,5,Miami Grand Prix,70200000.0,miami,Miami,USA,25.9581,-80.2389,2.0,Finished,0.0,2.0,9.0,0.0,88429.0,88429.0,88429.0,24,23,Partly cloudy,0,0,0,0,1,Street circuit,Anti-clockwise,5.412,57.0,308.326,88429.0,88429.0,88429.0,21,2,49,0,0,0,0,0,0,0,0,0,2,2,0,0,0,0,0,0,0,178.0,79.0,75.0,87.0,83.0 +24.0,14,16,0.0,57,5336681.0,56.0,14.0,91736.0,212.383,zhou,24.0,Chinese,alfa,Swiss,2023,5,Miami Grand Prix,70200000.0,miami,Miami,USA,25.9581,-80.2389,2.0,Finished,0.0,6.0,8.0,0.0,88180.0,88091.0,88091.0,25,24,Partly cloudy,0,0,0,0,1,Street circuit,Anti-clockwise,5.412,57.0,308.326,88091.0,88180.0,88120.66666666667,23,1,27,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,1,0,0,150.0,78.0,74.0,81.0,78.0 +23.0,13,14,0.0,77,,24.0,8.0,76672.0,156.683,albon,23.0,Thai,williams,British,2023,6,Monaco Grand Prix,46800000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,1.0,10.0,0.0,72706.0,72527.0,72527.0,28,27,"Cloudy, with some rain intervals",0,0,0,1,1,Street circuit,Clockwise,3.337,78.0,260.286,72527.0,72706.0,72586.66666666667,23,4,65,0,0,0,0,0,0,0,0,0,1,0,1,0,1,0,0,0,0,207.0,81.0,78.0,86.0,83.0 +14.0,2,2,18.0,78,6559901.0,43.0,9.0,76674.0,156.678,alonso,14.0,Spanish,aston_martin,British,2023,6,Monaco Grand Prix,46800000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,120.0,2.0,0.0,72886.0,72107.0,71449.0,43,42,"Cloudy, with some rain intervals",0,0,0,1,1,Street circuit,Clockwise,3.337,78.0,260.286,71449.0,72886.0,72147.33333333333,25,17,294,4,0,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,322.0,91.0,78.0,93.0,92.0 +77.0,15,11,0.0,77,,19.0,18.0,77824.0,154.363,bottas,77.0,Finnish,alfa,Swiss,2023,6,Monaco Grand Prix,46800000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,6.0,8.0,0.0,73038.0,72625.0,72625.0,35,34,"Cloudy, with some rain intervals",0,0,0,1,1,Street circuit,Clockwise,3.337,78.0,260.286,72625.0,73038.0,72762.66666666667,24,10,207,0,0,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,2,269.0,86.0,97.0,86.0,87.0 +21.0,12,12,0.0,77,,43.0,15.0,77561.0,154.887,de_vries,21.0,Dutch,alphatauri,Italian,2023,6,Monaco Grand Prix,46800000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,2.0,9.0,0.0,73054.0,72428.0,72428.0,29,28,"Cloudy, with some rain intervals",0,0,0,1,1,Street circuit,Clockwise,3.337,78.0,260.286,72428.0,73054.0,72636.66666666667,27,1,7,0,0,0,0,0,0,0,0,0,0,0,0,0,2,1,0,0,1,87.0,84.0,75.0,67.0,71.0 +10.0,7,7,6.0,78,6594342.0,49.0,3.0,75831.0,158.42,gasly,10.0,French,alpine,French,2023,6,Monaco Grand Prix,46800000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,35.0,5.0,0.0,73033.0,72169.0,71933.0,28,27,"Cloudy, with some rain intervals",0,0,0,1,1,Street circuit,Clockwise,3.337,78.0,260.286,71933.0,73033.0,72378.33333333333,21,6,114,0,0,0,0,0,0,0,1,2,0,0,0,1,1,0,0,0,0,221.0,89.0,76.0,85.0,85.0 +44.0,5,4,13.0,78,6571042.0,33.0,1.0,75650.0,158.799,hamilton,44.0,British,mercedes,German,2023,6,Monaco Grand Prix,46800000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,119.0,3.0,0.0,72872.0,72156.0,71725.0,39,38,"Cloudy, with some rain intervals",0,0,0,1,1,Street circuit,Clockwise,3.337,78.0,260.286,71725.0,72872.0,72251.0,22,16,316,1,1,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,312.0,94.0,94.0,90.0,92.0 +27.0,18,17,0.0,76,,6.0,12.0,76991.0,156.033,hulkenberg,27.0,German,haas,American,2023,6,Monaco Grand Prix,46800000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+2 Laps,0.0,8.0,7.0,0.0,73279.0,73279.0,73279.0,37,36,"Cloudy, with some rain intervals",0,0,0,1,1,Street circuit,Clockwise,3.337,78.0,260.286,73279.0,73279.0,73279.0,23,13,190,0,0,0,0,0,0,1,0,0,0,0,1,0,0,2,0,1,0,260.0,79.0,81.0,80.0,80.0 +16.0,6,6,8.0,78,6593870.0,46.0,2.0,75773.0,158.541,leclerc,16.0,Monegasque,ferrari,Italian,2023,6,Monaco Grand Prix,46800000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,90.0,4.0,0.0,72912.0,72103.0,71471.0,27,26,"Cloudy, with some rain intervals",0,0,0,1,1,Street circuit,Clockwise,3.337,78.0,260.286,71471.0,72912.0,72162.0,21,5,109,1,0,1,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,217.0,92.0,85.0,90.0,89.0 +1.0,1,1,25.0,78,6531980.0,23.0,7.0,76604.0,156.822,max_verstappen,33.0,Dutch,red_bull,Austrian,2023,6,Monaco Grand Prix,46800000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,3.0,249.0,1.0,6.0,72386.0,71908.0,71365.0,27,26,"Cloudy, with some rain intervals",0,0,0,1,1,Street circuit,Clockwise,3.337,78.0,260.286,71365.0,72386.0,71886.33333333333,18,8,169,5,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,250.0,97.0,85.0,95.0,94.0 +4.0,10,9,2.0,77,,46.0,19.0,77844.0,154.324,norris,4.0,British,mclaren,British,2023,6,Monaco Grand Prix,46800000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,17.0,6.0,0.0,72877.0,72377.0,72254.0,25,24,"Cloudy, with some rain intervals",0,0,0,1,1,Street circuit,Clockwise,3.337,78.0,260.286,72254.0,72877.0,72502.66666666667,20,4,88,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,3,0,212.0,91.0,79.0,91.0,89.0 +31.0,3,3,15.0,78,6568970.0,41.0,6.0,76528.0,156.977,ocon,31.0,French,alpine,French,2023,6,Monaco Grand Prix,46800000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,35.0,5.0,0.0,72967.0,72248.0,71553.0,28,27,"Cloudy, with some rain intervals",0,0,0,1,1,Street circuit,Clockwise,3.337,78.0,260.286,71553.0,72967.0,72256.0,20,7,117,0,0,0,0,0,0,0,1,1,0,0,0,0,1,1,0,0,1,217.0,92.0,76.0,86.0,86.0 +11.0,20,16,0.0,76,,5.0,4.0,76269.0,157.51,perez,11.0,Mexican,red_bull,Austrian,2023,6,Monaco Grand Prix,46800000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+2 Laps,2.0,249.0,1.0,6.0,73850.0,73850.0,73850.0,34,33,"Cloudy, with some rain intervals",0,0,0,1,1,Street circuit,Clockwise,3.337,78.0,260.286,73850.0,73850.0,73850.0,21,12,243,4,2,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,284.0,93.0,86.0,87.0,89.0 +81.0,11,10,1.0,77,,47.0,14.0,77513.0,154.983,piastri,81.0,Australian,mclaren,British,2023,6,Monaco Grand Prix,46800000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,17.0,6.0,0.0,73006.0,72395.0,72395.0,23,22,"Cloudy, with some rain intervals",0,0,0,1,1,Street circuit,Clockwise,3.337,78.0,260.286,72395.0,73006.0,72598.66666666667,22,0,6,0,0,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,0,202.0,73.0,79.0,77.0,74.0 +63.0,8,5,10.0,78,6588264.0,48.0,10.0,76798.0,156.425,russell,63.0,British,mercedes,German,2023,6,Monaco Grand Prix,46800000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,119.0,3.0,0.0,72769.0,72151.0,71964.0,26,25,"Cloudy, with some rain intervals",0,0,0,1,1,Street circuit,Clockwise,3.337,78.0,260.286,71964.0,72769.0,72294.66666666667,21,4,88,0,0,0,2,0,0,1,1,0,0,0,0,0,0,0,0,0,1,212.0,87.0,83.0,91.0,88.0 +55.0,4,8,4.0,78,6595371.0,43.0,5.0,76449.0,157.14,sainz,55.0,Spanish,ferrari,Italian,2023,6,Monaco Grand Prix,46800000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,Finished,0.0,90.0,4.0,0.0,72717.0,72210.0,71630.0,30,29,"Cloudy, with some rain intervals",0,0,0,1,1,Street circuit,Clockwise,3.337,78.0,260.286,71630.0,72717.0,72185.66666666667,21,8,169,0,0,0,1,2,1,0,0,0,0,0,1,0,0,0,0,0,0,250.0,92.0,81.0,87.0,88.0 +2.0,16,18,0.0,76,,32.0,13.0,77302.0,155.406,sargeant,2.0,American,williams,British,2023,6,Monaco Grand Prix,46800000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+2 Laps,0.0,1.0,10.0,0.0,73113.0,73113.0,73113.0,24,23,"Cloudy, with some rain intervals",0,0,0,1,1,Street circuit,Clockwise,3.337,78.0,260.286,73113.0,73113.0,73113.0,23,0,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,3,0,0,78.0,84.0,75.0,67.0,71.0 +22.0,9,15,0.0,76,,36.0,16.0,77680.0,154.649,tsunoda,22.0,Japanese,alphatauri,Italian,2023,6,Monaco Grand Prix,46800000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+2 Laps,0.0,2.0,9.0,0.0,72642.0,72249.0,72082.0,24,23,"Cloudy, with some rain intervals",0,0,0,1,1,Street circuit,Clockwise,3.337,78.0,260.286,72082.0,72642.0,72324.33333333333,21,2,50,0,0,0,0,0,0,0,0,0,2,3,0,0,0,0,0,0,0,178.0,79.0,75.0,87.0,83.0 +24.0,19,13,0.0,77,,5.0,11.0,76926.0,156.165,zhou,24.0,Chinese,alfa,Swiss,2023,6,Monaco Grand Prix,46800000.0,monaco,Monte-Carlo,Monaco,43.7347,7.42056,7.0,+1 Lap,0.0,6.0,8.0,0.0,73523.0,73523.0,73523.0,25,24,"Cloudy, with some rain intervals",0,0,0,1,1,Street circuit,Clockwise,3.337,78.0,260.286,73523.0,73523.0,73523.0,23,1,28,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,2,0,0,150.0,78.0,74.0,81.0,78.0 +23.0,18,16,0.0,65,,59.0,19.0,79133.0,211.861,albon,23.0,Thai,williams,British,2023,7,Spanish Grand Prix,46800000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,1.0,10.0,0.0,74063.0,74063.0,74063.0,28,27,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,74063.0,74063.0,74063.0,23,4,66,0,0,0,0,0,0,0,0,0,1,0,1,0,2,0,0,0,0,207.0,81.0,78.0,86.0,83.0 +14.0,8,7,6.0,66,5342067.0,49.0,7.0,78083.0,214.709,alonso,14.0,Spanish,aston_martin,British,2023,7,Spanish Grand Prix,46800000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,134.0,3.0,0.0,73747.0,73098.0,73507.0,43,42,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,73098.0,73747.0,73450.66666666667,25,17,295,5,1,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,322.0,91.0,78.0,93.0,92.0 +77.0,16,19,0.0,65,,50.0,8.0,78242.0,214.273,bottas,77.0,Finnish,alfa,Swiss,2023,7,Spanish Grand Prix,46800000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,8.0,8.0,0.0,73977.0,73977.0,73977.0,35,34,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,73977.0,73977.0,73977.0,24,10,208,0,0,0,0,0,0,0,1,0,0,2,0,1,0,0,0,0,2,269.0,86.0,97.0,86.0,87.0 +21.0,14,14,0.0,65,,41.0,12.0,78594.0,213.313,de_vries,21.0,Dutch,alphatauri,Italian,2023,7,Spanish Grand Prix,46800000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,2.0,9.0,0.0,73581.0,74083.0,74083.0,29,28,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,73581.0,74083.0,73915.66666666667,27,1,8,0,0,0,0,0,0,0,0,0,0,0,1,0,2,1,0,0,1,87.0,84.0,75.0,67.0,71.0 +10.0,10,10,1.0,66,5351470.0,41.0,10.0,78375.0,213.91,gasly,10.0,French,alpine,French,2023,7,Spanish Grand Prix,46800000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,40.0,5.0,0.0,73471.0,73186.0,72816.0,28,27,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,72816.0,73471.0,73157.66666666667,21,6,115,0,0,0,0,0,0,1,1,2,0,0,0,1,1,0,0,0,0,221.0,89.0,76.0,85.0,85.0 +44.0,4,2,18.0,66,5302030.0,62.0,3.0,76676.0,218.649,hamilton,44.0,British,mercedes,German,2023,7,Spanish Grand Prix,46800000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,152.0,2.0,0.0,72937.0,72999.0,72818.0,39,38,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,72818.0,72999.0,72918.0,22,16,317,1,1,0,1,2,2,0,0,0,0,0,0,0,0,0,0,0,0,312.0,94.0,94.0,90.0,92.0 +27.0,7,15,0.0,65,,53.0,16.0,78776.0,212.821,hulkenberg,27.0,German,haas,American,2023,7,Spanish Grand Prix,46800000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,8.0,7.0,0.0,73420.0,73283.0,73229.0,37,36,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,73229.0,73420.0,73310.66666666667,23,13,191,0,0,0,0,0,0,1,0,0,0,0,1,0,0,2,0,2,0,260.0,79.0,81.0,80.0,80.0 +20.0,17,18,0.0,65,,44.0,6.0,78069.0,214.748,kevin_magnussen,20.0,Danish,haas,American,2023,7,Spanish Grand Prix,46800000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,8.0,7.0,0.0,74042.0,74042.0,74042.0,32,31,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,74042.0,74042.0,74042.0,22,9,149,0,0,0,0,0,0,0,0,0,2,0,0,2,0,0,0,1,0,236.0,79.0,85.0,82.0,81.0 +16.0,19,11,0.0,66,5352359.0,52.0,9.0,78357.0,213.959,leclerc,16.0,Monegasque,ferrari,Italian,2023,7,Spanish Grand Prix,46800000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,100.0,4.0,0.0,74079.0,74079.0,74079.0,27,26,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,74079.0,74079.0,74079.0,21,5,110,1,0,1,0,0,1,2,0,0,0,0,0,0,0,0,0,0,0,217.0,92.0,85.0,90.0,89.0 +1.0,1,1,26.0,66,5277940.0,61.0,1.0,76330.0,219.641,max_verstappen,33.0,Dutch,red_bull,Austrian,2023,7,Spanish Grand Prix,46800000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,4.0,287.0,1.0,7.0,73615.0,72760.0,72272.0,27,26,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,72272.0,73615.0,72882.33333333333,18,8,170,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,250.0,97.0,85.0,95.0,94.0 +4.0,3,17,0.0,65,,55.0,4.0,77182.0,217.216,norris,4.0,British,mclaren,British,2023,7,Spanish Grand Prix,46800000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,17.0,6.0,0.0,73295.0,72776.0,72792.0,25,24,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,72776.0,73295.0,72954.33333333333,20,4,89,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,3,0,212.0,91.0,79.0,91.0,89.0 +31.0,6,8,4.0,66,5347182.0,54.0,18.0,78946.0,212.362,ocon,31.0,French,alpine,French,2023,7,Spanish Grand Prix,46800000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,40.0,5.0,0.0,73433.0,73001.0,73083.0,28,27,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,73001.0,73433.0,73172.33333333333,20,7,118,1,0,1,0,0,0,0,1,1,0,0,0,0,1,1,0,0,1,217.0,92.0,76.0,86.0,86.0 +11.0,11,4,12.0,66,5313752.0,52.0,2.0,76666.0,218.678,perez,11.0,Mexican,red_bull,Austrian,2023,7,Spanish Grand Prix,46800000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,2.0,287.0,1.0,7.0,73874.0,73334.0,73334.0,34,33,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,73334.0,73874.0,73514.0,21,12,244,4,2,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,284.0,93.0,86.0,87.0,89.0 +81.0,9,13,0.0,65,,41.0,13.0,78679.0,213.083,piastri,81.0,Australian,mclaren,British,2023,7,Spanish Grand Prix,46800000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,17.0,6.0,0.0,73691.0,73059.0,73682.0,23,22,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,73059.0,73691.0,73477.33333333333,22,0,7,0,0,0,0,0,0,0,1,0,1,1,0,0,0,1,0,0,0,202.0,73.0,79.0,77.0,74.0 +63.0,12,3,15.0,66,5310329.0,48.0,5.0,77875.0,215.283,russell,63.0,British,mercedes,German,2023,7,Spanish Grand Prix,46800000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,152.0,2.0,0.0,73326.0,73447.0,73447.0,26,25,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,73326.0,73447.0,73406.66666666667,21,4,89,0,0,0,2,1,0,1,1,0,0,0,0,0,0,0,0,0,1,212.0,87.0,83.0,91.0,88.0 +55.0,2,5,10.0,66,5323638.0,60.0,11.0,78403.0,213.833,sainz,55.0,Spanish,ferrari,Italian,2023,7,Spanish Grand Prix,46800000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,100.0,4.0,0.0,73411.0,72790.0,72734.0,30,29,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,72734.0,73411.0,72978.33333333333,21,8,170,0,0,0,1,2,1,0,1,0,0,0,1,0,0,0,0,0,0,250.0,92.0,81.0,87.0,88.0 +2.0,20,20,0.0,65,,41.0,20.0,79247.0,211.556,sargeant,2.0,American,williams,British,2023,7,Spanish Grand Prix,46800000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,+1 Lap,0.0,1.0,10.0,0.0,74699.0,74699.0,74699.0,24,23,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,74699.0,74699.0,74699.0,23,0,7,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,3,0,1,78.0,84.0,75.0,67.0,71.0 +18.0,5,6,8.0,66,5341260.0,56.0,14.0,78722.0,212.967,stroll,18.0,Canadian,aston_martin,British,2023,7,Spanish Grand Prix,46800000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,134.0,3.0,0.0,73766.0,73082.0,72994.0,26,25,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,72994.0,73766.0,73280.66666666667,19,6,129,0,0,0,1,0,1,1,0,0,0,0,1,0,0,0,0,0,0,226.0,91.0,78.0,81.0,84.0 +22.0,15,12,0.0,66,5353356.0,59.0,17.0,78904.0,212.475,tsunoda,22.0,Japanese,alphatauri,Italian,2023,7,Spanish Grand Prix,46800000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,2.0,9.0,0.0,73862.0,74477.0,74477.0,24,23,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,73862.0,74477.0,74272.0,21,2,51,0,0,0,0,0,0,0,0,0,2,3,0,0,0,1,0,0,0,178.0,79.0,75.0,87.0,83.0 +24.0,13,9,2.0,66,5349818.0,38.0,15.0,78753.0,212.883,zhou,24.0,Chinese,alfa,Swiss,2023,7,Spanish Grand Prix,46800000.0,catalunya,Montmeló,Spain,41.57,2.26111,109.0,Finished,0.0,8.0,8.0,0.0,73677.0,73521.0,73521.0,25,24,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.657,66.0,307.236,73521.0,73677.0,73573.0,23,1,29,0,0,0,0,0,0,0,0,1,0,0,0,2,0,0,2,0,0,150.0,78.0,74.0,81.0,78.0 +23.0,9,7,6.0,70,5699161.0,68.0,16.0,76917.0,204.11,albon,23.0,Thai,williams,British,2023,8,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,7.0,9.0,0.0,81938.0,78725.0,78725.0,28,27,Partly cloudy,0,0,0,0,1,Street circuit,Clockwise,4.361,70.0,305.27,78725.0,81938.0,79796.0,23,4,67,0,0,0,0,0,0,0,0,0,1,0,1,0,2,0,1,0,0,207.0,81.0,78.0,86.0,83.0 +14.0,2,2,18.0,70,5647918.0,62.0,4.0,75779.0,207.176,alonso,14.0,Spanish,aston_martin,British,2023,8,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,154.0,3.0,0.0,81481.0,79776.0,87286.0,43,42,Partly cloudy,0,0,0,0,1,Street circuit,Clockwise,4.361,70.0,305.27,79776.0,87286.0,82847.66666666667,25,17,296,5,1,4,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,322.0,91.0,78.0,93.0,92.0 +77.0,14,10,1.0,70,5702780.0,52.0,12.0,76625.0,204.888,bottas,77.0,Finnish,alfa,Swiss,2023,8,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,9.0,7.0,0.0,82332.0,81821.0,81821.0,35,34,Partly cloudy,0,0,0,0,1,Street circuit,Clockwise,4.361,70.0,305.27,81821.0,82332.0,81991.33333333333,24,10,209,0,0,0,0,0,0,0,1,0,0,2,0,1,0,0,0,0,2,269.0,86.0,97.0,86.0,87.0 +21.0,17,18,0.0,69,,52.0,13.0,76656.0,204.805,de_vries,21.0,Dutch,alphatauri,Italian,2023,8,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,2.0,10.0,0.0,83137.0,83137.0,83137.0,29,28,Partly cloudy,0,0,0,0,1,Street circuit,Clockwise,4.361,70.0,305.27,83137.0,83137.0,83137.0,27,1,9,0,0,0,0,0,0,0,0,0,0,0,1,0,3,1,0,0,1,87.0,84.0,75.0,67.0,71.0 +10.0,15,12,0.0,70,5703597.0,67.0,9.0,76425.0,205.424,gasly,10.0,French,alpine,French,2023,8,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,44.0,5.0,0.0,82886.0,82886.0,82886.0,28,27,Partly cloudy,0,0,0,0,1,Street circuit,Clockwise,4.361,70.0,305.27,82886.0,82886.0,82886.0,21,6,116,0,0,0,0,0,0,1,1,2,1,0,0,1,1,0,0,0,0,221.0,89.0,76.0,85.0,85.0 +44.0,3,3,15.0,70,5642946.0,47.0,2.0,75396.0,208.228,hamilton,44.0,British,mercedes,German,2023,8,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,167.0,2.0,0.0,81554.0,80426.0,87627.0,39,38,Partly cloudy,0,0,0,0,1,Street circuit,Clockwise,4.361,70.0,305.27,80426.0,87627.0,83202.33333333333,22,16,318,2,2,0,1,2,2,0,0,0,0,0,0,0,0,0,0,0,0,312.0,94.0,94.0,90.0,92.0 +27.0,5,15,0.0,69,,37.0,19.0,77232.0,203.278,hulkenberg,27.0,German,haas,American,2023,8,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,8.0,8.0,0.0,82730.0,80305.0,87102.0,37,36,Partly cloudy,0,0,0,0,1,Street circuit,Clockwise,4.361,70.0,305.27,80305.0,87102.0,83379.0,23,13,192,0,0,0,0,0,0,1,0,0,0,0,1,0,0,3,0,2,0,260.0,79.0,81.0,80.0,80.0 +20.0,13,17,0.0,69,,55.0,7.0,76126.0,206.231,kevin_magnussen,20.0,Danish,haas,American,2023,8,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,8.0,8.0,0.0,82351.0,81678.0,81678.0,32,31,Partly cloudy,0,0,0,0,1,Street circuit,Clockwise,4.361,70.0,305.27,81678.0,82351.0,81902.33333333333,22,9,150,0,0,0,0,0,0,0,0,0,2,0,0,2,0,0,0,1,1,236.0,79.0,85.0,82.0,81.0 +16.0,10,4,12.0,70,5656996.0,47.0,5.0,75907.0,206.826,leclerc,16.0,Monegasque,ferrari,Italian,2023,8,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,122.0,4.0,0.0,81843.0,80615.0,80615.0,27,26,Partly cloudy,0,0,0,0,1,Street circuit,Clockwise,4.361,70.0,305.27,80615.0,81843.0,81024.33333333333,21,5,111,1,0,1,0,0,1,2,0,0,0,1,0,0,0,0,0,0,0,217.0,92.0,85.0,90.0,89.0 +1.0,1,1,25.0,70,5638348.0,68.0,3.0,75594.0,207.683,max_verstappen,33.0,Dutch,red_bull,Austrian,2023,8,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,5.0,321.0,1.0,8.0,80851.0,79092.0,85858.0,27,26,Partly cloudy,0,0,0,0,1,Street circuit,Clockwise,4.361,70.0,305.27,79092.0,85858.0,81933.66666666667,18,8,171,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,250.0,97.0,85.0,95.0,94.0 +4.0,7,13,0.0,70,5706711.0,65.0,8.0,76374.0,205.562,norris,4.0,British,mclaren,British,2023,8,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,17.0,6.0,0.0,81998.0,79347.0,88046.0,25,24,Partly cloudy,0,0,0,0,1,Street circuit,Clockwise,4.361,70.0,305.27,79347.0,88046.0,83130.33333333333,20,4,90,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,4,0,212.0,91.0,79.0,91.0,89.0 +31.0,6,8,4.0,70,5700040.0,63.0,15.0,76782.0,204.469,ocon,31.0,French,alpine,French,2023,8,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,44.0,5.0,0.0,82114.0,80406.0,87945.0,28,27,Partly cloudy,0,0,0,0,1,Street circuit,Clockwise,4.361,70.0,305.27,80406.0,87945.0,83488.33333333333,20,7,119,1,0,1,0,0,0,0,2,1,0,0,0,0,1,1,0,0,1,217.0,92.0,76.0,86.0,86.0 +11.0,12,6,9.0,70,5689376.0,70.0,1.0,74481.0,210.786,perez,11.0,Mexican,red_bull,Austrian,2023,8,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,2.0,321.0,1.0,8.0,82151.0,80959.0,80959.0,34,33,Partly cloudy,0,0,0,0,1,Street circuit,Clockwise,4.361,70.0,305.27,80959.0,82151.0,81356.33333333333,21,12,245,4,2,0,1,1,0,0,0,0,0,0,0,0,0,0,1,0,0,284.0,93.0,86.0,87.0,89.0 +81.0,8,11,0.0,70,5703449.0,59.0,11.0,76598.0,204.96,piastri,81.0,Australian,mclaren,British,2023,8,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,17.0,6.0,0.0,82190.0,79659.0,91349.0,23,22,Partly cloudy,0,0,0,0,1,Street circuit,Clockwise,4.361,70.0,305.27,79659.0,91349.0,84399.33333333333,22,0,8,0,0,0,0,0,0,0,1,0,1,1,0,1,0,1,0,0,0,202.0,73.0,79.0,77.0,74.0 +55.0,11,5,10.0,70,5659888.0,47.0,6.0,75911.0,206.815,sainz,55.0,Spanish,ferrari,Italian,2023,8,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,122.0,4.0,0.0,82248.0,79856.0,89294.0,30,29,Partly cloudy,0,0,0,0,1,Street circuit,Clockwise,4.361,70.0,305.27,79856.0,89294.0,83799.33333333333,21,8,171,0,0,0,1,3,1,0,1,0,0,0,1,0,0,0,0,0,0,250.0,92.0,81.0,87.0,88.0 +18.0,16,9,2.0,70,5702750.0,58.0,10.0,76564.0,205.051,stroll,18.0,Canadian,aston_martin,British,2023,8,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,154.0,3.0,0.0,82677.0,81484.0,81484.0,26,25,Partly cloudy,0,0,0,0,1,Street circuit,Clockwise,4.361,70.0,305.27,81484.0,82677.0,81881.66666666667,19,6,130,0,0,0,1,0,2,1,0,0,0,0,1,0,0,0,0,0,0,226.0,91.0,78.0,81.0,84.0 +22.0,19,14,0.0,70,5711771.0,68.0,14.0,76666.0,204.779,tsunoda,22.0,Japanese,alphatauri,Italian,2023,8,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,Finished,0.0,2.0,10.0,0.0,82746.0,82746.0,82746.0,24,23,Partly cloudy,0,0,0,0,1,Street circuit,Clockwise,4.361,70.0,305.27,82746.0,82746.0,82746.0,21,2,52,0,0,0,0,0,0,0,0,0,2,3,1,0,0,1,0,0,0,178.0,79.0,75.0,87.0,83.0 +24.0,20,16,0.0,69,,58.0,17.0,77090.0,203.652,zhou,24.0,Chinese,alfa,Swiss,2023,8,Canadian Grand Prix,64800000.0,villeneuve,Montreal,Canada,45.5,-73.5228,13.0,+1 Lap,0.0,9.0,7.0,0.0,83342.0,83342.0,83342.0,25,24,Partly cloudy,0,0,0,0,1,Street circuit,Clockwise,4.361,70.0,305.27,83342.0,83342.0,83342.0,23,1,30,0,0,0,0,0,0,0,0,2,0,0,0,2,0,0,2,0,0,150.0,78.0,74.0,81.0,78.0 +23.0,10,11,0.0,71,5213374.0,53.0,11.0,69560.0,223.473,albon,23.0,Thai,williams,British,2023,9,Austrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,0.0,7.0,9.0,0.0,65673.0,65387.0,65823.0,28,27,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,65387.0,65823.0,65627.66666666667,23,4,68,0,0,0,0,0,0,1,0,0,1,0,1,0,2,0,1,0,0,207.0,81.0,78.0,86.0,83.0 +14.0,7,5,10.0,71,5163924.0,48.0,4.0,68739.0,226.142,alonso,14.0,Spanish,aston_martin,British,2023,9,Austrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,0.0,175.0,3.0,0.0,65655.0,65181.0,64911.0,43,42,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,64911.0,65655.0,65249.0,25,17,297,6,2,4,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,322.0,91.0,78.0,93.0,92.0 +77.0,14,15,0.0,70,,46.0,16.0,69852.0,222.539,bottas,77.0,Finnish,alfa,Swiss,2023,9,Austrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,9.0,8.0,0.0,65763.0,65680.0,65680.0,35,34,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,65680.0,65763.0,65707.66666666667,24,10,210,0,0,0,0,0,0,0,1,0,1,2,0,1,0,0,0,0,2,269.0,86.0,97.0,86.0,87.0 +21.0,19,17,0.0,70,,46.0,17.0,69862.0,222.507,de_vries,21.0,Dutch,alphatauri,Italian,2023,9,Austrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,2.0,10.0,0.0,65974.0,65974.0,65974.0,29,28,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,65974.0,65974.0,65974.0,27,1,10,0,0,0,0,0,0,0,0,0,0,0,1,0,3,1,0,0,2,87.0,84.0,75.0,67.0,71.0 +10.0,9,10,1.0,71,5201274.0,57.0,3.0,68463.0,227.054,gasly,10.0,French,alpine,French,2023,9,Austrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,0.0,47.0,5.0,0.0,65515.0,65308.00000000001,65170.0,28,27,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,65170.0,65515.0,65331.0,21,6,117,0,0,0,0,0,0,1,1,2,1,0,1,1,1,0,0,0,0,221.0,89.0,76.0,85.0,85.0 +44.0,5,8,4.0,71,5182803.0,49.0,10.0,69283.0,224.366,hamilton,44.0,British,mercedes,German,2023,9,Austrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,0.0,178.0,2.0,0.0,65673.0,65188.0,64819.0,39,38,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,64819.0,65673.0,65226.66666666666,22,16,319,3,2,1,1,2,2,0,0,0,0,0,0,0,0,0,0,0,0,312.0,94.0,94.0,90.0,92.0 +20.0,19,18,0.0,70,,45.0,13.0,69620.0,223.28,kevin_magnussen,20.0,Danish,haas,American,2023,9,Austrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,11.0,7.0,0.0,65971.0,65971.0,65971.0,32,31,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,65971.0,65971.0,65971.0,22,9,151,0,0,0,0,0,0,0,0,0,2,0,0,2,0,0,0,2,1,236.0,79.0,85.0,82.0,81.0 +16.0,2,2,18.0,71,5138762.0,51.0,5.0,68820.0,225.876,leclerc,16.0,Monegasque,ferrari,Italian,2023,9,Austrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,0.0,154.0,4.0,0.0,65577.0,65087.0,64438.99999999999,27,26,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,64438.99999999999,65577.0,65034.333333333336,21,5,112,1,0,1,1,0,1,2,0,0,0,1,0,0,0,0,0,0,0,217.0,92.0,85.0,90.0,89.0 +1.0,1,1,26.0,71,5133607.0,71.0,1.0,67012.0,231.97,max_verstappen,33.0,Dutch,red_bull,Austrian,2023,9,Austrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,6.0,377.0,1.0,9.0,65116.0,64950.99999999999,64391.00000000001,27,26,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,64391.00000000001,65116.0,64819.333333333336,18,8,172,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,250.0,97.0,85.0,95.0,94.0 +4.0,4,4,12.0,71,5159934.0,50.0,6.0,68880.0,225.679,norris,4.0,British,mclaren,British,2023,9,Austrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,0.0,29.0,6.0,0.0,65617.0,65038.0,64658.0,25,24,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,64658.0,65617.0,65104.333333333336,20,4,91,0,0,0,0,0,1,0,0,2,0,0,0,1,0,0,0,4,0,212.0,91.0,79.0,91.0,89.0 +31.0,12,14,0.0,70,,46.0,14.0,69786.0,222.749,ocon,31.0,French,alpine,French,2023,9,Austrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,47.0,5.0,0.0,65729.0,65453.0,65453.0,28,27,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,65453.0,65729.0,65545.0,20,7,120,1,0,1,0,0,0,0,3,1,0,0,0,0,1,1,0,0,1,217.0,92.0,76.0,86.0,86.0 +11.0,15,3,15.0,71,5150795.0,52.0,2.0,68111.0,228.227,perez,11.0,Mexican,red_bull,Austrian,2023,9,Austrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,2.0,377.0,1.0,9.0,65177.00000000001,126688.0,126688.0,34,33,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,65177.00000000001,126688.0,106184.33333333331,21,12,246,4,2,0,1,1,1,0,0,0,0,0,0,0,0,0,1,0,0,284.0,93.0,86.0,87.0,89.0 +81.0,13,16,0.0,70,,49.0,18.0,69940.0,222.259,piastri,81.0,Australian,mclaren,British,2023,9,Austrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,29.0,6.0,0.0,65683.0,65605.0,65605.0,23,22,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,65605.0,65683.0,65631.0,22,0,9,0,0,0,0,0,0,0,1,0,1,2,0,1,0,1,0,0,0,202.0,73.0,79.0,77.0,74.0 +63.0,11,7,6.0,71,5182010.0,48.0,9.0,69160.0,224.765,russell,63.0,British,mercedes,German,2023,9,Austrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,0.0,178.0,2.0,0.0,65686.0,65428.0,65428.0,26,25,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,65428.0,65686.0,65514.0,21,4,91,1,0,1,2,1,0,1,1,0,0,0,0,0,0,0,0,0,1,212.0,87.0,83.0,91.0,88.0 +55.0,3,6,8.0,71,5164984.0,54.0,8.0,69108.0,224.934,sainz,55.0,Spanish,ferrari,Italian,2023,9,Austrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,0.0,154.0,4.0,0.0,65339.0,64974.99999999999,64581.0,30,29,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,64581.0,65339.0,64965.0,21,8,172,0,0,0,1,4,1,0,1,0,0,0,1,0,0,0,0,0,0,250.0,92.0,81.0,87.0,88.0 +2.0,18,13,0.0,70,,45.0,12.0,69611.0,223.309,sargeant,2.0,American,williams,British,2023,9,Austrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,7.0,9.0,0.0,65948.0,65948.0,65948.0,24,23,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,65948.0,65948.0,65948.0,23,0,9,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,3,0,1,78.0,84.0,75.0,67.0,71.0 +18.0,6,9,2.0,71,5192650.0,48.0,7.0,69046.0,225.136,stroll,18.0,Canadian,aston_martin,British,2023,9,Austrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,Finished,0.0,175.0,3.0,0.0,65710.0,65120.99999999999,64893.0,26,25,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,64893.0,65710.0,65241.333333333336,19,6,131,0,0,0,1,0,2,1,0,1,0,0,1,0,0,0,0,0,0,226.0,91.0,78.0,81.0,84.0 +22.0,16,19,0.0,70,,37.0,19.0,70176.0,221.511,tsunoda,22.0,Japanese,alphatauri,Italian,2023,9,Austrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,2.0,10.0,0.0,65784.0,65784.0,65784.0,24,23,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,65784.0,65784.0,65784.0,21,2,53,0,0,0,0,0,0,0,0,0,2,3,1,0,1,1,0,0,0,178.0,79.0,75.0,87.0,83.0 +24.0,17,12,0.0,70,,50.0,15.0,69797.0,222.714,zhou,24.0,Chinese,alfa,Swiss,2023,9,Austrian Grand Prix,46800000.0,red_bull_ring,Spielberg,Austria,47.2197,14.7647,678.0,+1 Lap,0.0,9.0,8.0,0.0,65818.0,65818.0,65818.0,25,24,Cloudy,0,0,0,0,1,Race circuit,Clockwise,4.318,71.0,306.452,65818.0,65818.0,65818.0,23,1,31,0,0,0,0,0,0,0,0,2,0,0,0,2,0,0,3,0,0,150.0,78.0,74.0,81.0,78.0 +23.0,8,8,4.0,52,5134816.0,41.0,8.0,91273.0,232.353,albon,23.0,Thai,williams,British,2023,10,British Grand Prix,50400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,11.0,7.0,0.0,89466.0,88067.0,87530.0,28,27,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,87530.0,89466.0,88354.33333333333,23,4,69,0,0,0,0,0,0,1,0,0,1,1,1,0,2,0,1,0,0,207.0,81.0,78.0,86.0,83.0 +14.0,9,7,6.0,52,5134131.0,48.0,9.0,91338.0,232.188,alonso,14.0,Spanish,aston_martin,British,2023,10,British Grand Prix,50400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,181.0,3.0,0.0,89949.0,88368.0,87659.0,43,42,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,87659.0,89949.0,88658.66666666667,25,17,298,6,2,4,1,1,0,1,0,0,0,0,0,0,0,0,0,0,0,322.0,91.0,78.0,93.0,92.0 +77.0,20,12,0.0,52,5142768.0,52.0,16.0,91852.0,230.888,bottas,77.0,Finnish,alfa,Swiss,2023,10,British Grand Prix,50400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,9.0,9.0,0.0,89798.0,89798.0,89798.0,35,34,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,89798.0,89798.0,89798.0,24,10,211,0,0,0,0,0,0,0,1,0,1,2,0,1,0,1,0,0,2,269.0,86.0,97.0,86.0,87.0 +21.0,18,17,0.0,52,5150066.0,48.0,18.0,92353.0,229.636,de_vries,21.0,Dutch,alphatauri,Italian,2023,10,British Grand Prix,50400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,2.0,10.0,0.0,90513.0,90513.0,90513.0,29,28,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,90513.0,90513.0,90513.0,27,1,11,0,0,0,0,0,0,0,0,0,0,0,1,0,3,1,0,1,2,87.0,84.0,75.0,67.0,71.0 +44.0,7,3,15.0,52,5123721.0,43.0,3.0,90545.0,234.221,hamilton,44.0,British,mercedes,German,2023,10,British Grand Prix,50400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,203.0,2.0,0.0,89415.0,88545.0,87211.0,39,38,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,87211.0,89415.0,88390.33333333333,22,16,320,3,2,1,1,2,2,0,1,0,0,0,0,0,0,0,0,0,0,312.0,94.0,94.0,90.0,92.0 +27.0,11,13,0.0,52,5143601.0,52.0,15.0,91776.0,231.08,hulkenberg,27.0,German,haas,American,2023,10,British Grand Prix,50400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,11.0,8.0,0.0,89603.0,88896.0,88896.0,37,36,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,88896.0,89603.0,89131.66666666667,23,13,194,0,0,0,0,0,0,1,0,0,0,0,1,0,0,4,0,2,0,260.0,79.0,81.0,80.0,80.0 +16.0,4,9,2.0,52,5135627.0,48.0,7.0,91255.0,232.399,leclerc,16.0,Monegasque,ferrari,Italian,2023,10,British Grand Prix,50400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,157.0,4.0,0.0,89143.0,88361.0,87136.0,27,26,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,87136.0,89143.0,88213.33333333333,21,5,113,2,1,1,1,0,1,2,0,0,0,1,0,0,0,0,0,0,0,217.0,92.0,85.0,90.0,89.0 +1.0,1,1,26.0,52,5116938.0,42.0,1.0,90275.0,234.922,max_verstappen,33.0,Dutch,red_bull,Austrian,2023,10,British Grand Prix,50400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,7.0,411.0,1.0,10.0,89428.0,87702.0,86720.0,27,26,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,86720.0,89428.0,87950.0,18,8,173,9,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,250.0,97.0,85.0,95.0,94.0 +4.0,2,2,18.0,52,5120736.0,43.0,2.0,90543.0,234.226,norris,4.0,British,mclaren,British,2023,10,British Grand Prix,50400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,59.0,5.0,0.0,88917.0,88042.0,86961.0,25,24,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,86961.0,88917.0,87973.33333333333,20,4,92,0,0,0,1,0,1,0,0,2,0,0,0,1,0,0,0,4,0,212.0,91.0,79.0,91.0,89.0 +11.0,15,6,8.0,52,5129820.0,51.0,5.0,90914.0,233.271,perez,11.0,Mexican,red_bull,Austrian,2023,10,British Grand Prix,50400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,2.0,411.0,1.0,10.0,89968.0,89968.0,89968.0,34,33,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,89968.0,89968.0,89968.0,21,12,247,5,2,1,1,1,1,0,0,0,0,0,0,0,0,0,1,0,0,284.0,93.0,86.0,87.0,89.0 +81.0,3,4,12.0,52,5124714.0,41.0,4.0,90850.0,233.435,piastri,81.0,Australian,mclaren,British,2023,10,British Grand Prix,50400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,59.0,5.0,0.0,89874.0,87845.0,87092.0,23,22,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,87092.0,89874.0,88270.33333333333,22,0,10,0,0,0,0,0,0,0,1,0,1,2,0,1,0,1,1,0,0,202.0,73.0,79.0,77.0,74.0 +63.0,6,5,10.0,52,5128144.0,41.0,6.0,91124.0,232.733,russell,63.0,British,mercedes,German,2023,10,British Grand Prix,50400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,203.0,2.0,0.0,89412.0,88782.0,87155.0,26,25,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,87155.0,89412.0,88449.66666666667,21,4,92,1,0,1,2,1,0,2,1,0,0,0,0,0,0,0,0,0,1,212.0,87.0,83.0,91.0,88.0 +55.0,5,10,1.0,52,5136386.0,51.0,10.0,91366.0,232.116,sainz,55.0,Spanish,ferrari,Italian,2023,10,British Grand Prix,50400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,157.0,4.0,0.0,89865.0,88265.0,87148.0,30,29,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,87148.0,89865.0,88426.0,21,8,173,0,0,0,1,4,2,0,1,0,0,0,1,0,0,0,0,0,0,250.0,92.0,81.0,87.0,88.0 +2.0,14,11,0.0,52,5140570.0,42.0,13.0,91699.0,231.274,sargeant,2.0,American,williams,British,2023,10,British Grand Prix,50400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,11.0,7.0,0.0,89873.0,89031.0,89031.0,24,23,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,89031.0,89873.0,89311.66666666667,23,0,10,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,3,0,1,78.0,84.0,75.0,67.0,71.0 +18.0,12,14,0.0,52,5144421.0,42.0,11.0,91508.0,231.756,stroll,18.0,Canadian,aston_martin,British,2023,10,British Grand Prix,50400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,181.0,3.0,0.0,89448.0,88935.0,88935.0,26,25,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,88935.0,89448.0,89106.0,19,6,132,0,0,0,1,0,2,1,0,2,0,0,1,0,0,0,0,0,0,226.0,91.0,78.0,81.0,84.0 +22.0,16,16,0.0,52,5148163.0,48.0,17.0,92084.0,230.307,tsunoda,22.0,Japanese,alphatauri,Italian,2023,10,British Grand Prix,50400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,2.0,10.0,0.0,90025.0,90025.0,90025.0,24,23,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,90025.0,90025.0,90025.0,21,2,54,0,0,0,0,0,0,0,0,0,2,3,1,0,1,1,0,0,0,178.0,79.0,75.0,87.0,83.0 +24.0,17,15,0.0,52,5146758.0,48.0,14.0,91769.0,231.097,zhou,24.0,Chinese,alfa,Swiss,2023,10,British Grand Prix,50400000.0,silverstone,Silverstone,UK,52.0786,-1.01694,153.0,Finished,0.0,9.0,9.0,0.0,90123.0,90123.0,90123.0,25,24,Partly cloudy,0,0,0,0,1,Race circuit,Clockwise,5.891,52.0,306.198,90123.0,90123.0,90123.0,23,1,32,0,0,0,0,0,0,0,0,2,0,0,1,2,0,0,3,0,0,150.0,78.0,74.0,81.0,78.0 +23.0,16,11,0.0,69,,54.0,18.0,84051.0,187.643,albon,23.0,Thai,williams,British,2023,11,Hungarian Grand Prix,46800000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,11.0,7.0,0.0,78917.0,78917.0,78917.0,28,27,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,78917.0,78917.0,78917.0,23,4,70,0,0,0,0,0,0,1,1,0,1,1,1,0,2,0,1,0,0,207.0,81.0,78.0,86.0,83.0 +14.0,8,9,2.0,70,5964343.0,51.0,9.0,82745.0,190.604,alonso,14.0,Spanish,aston_martin,British,2023,11,Hungarian Grand Prix,46800000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,184.0,3.0,0.0,78580.0,77701.0,77035.0,43,42,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,77035.0,78580.0,77772.0,25,17,299,6,2,4,1,1,0,2,0,0,0,0,0,0,0,0,0,0,0,322.0,91.0,78.0,93.0,92.0 +77.0,7,12,0.0,69,,42.0,14.0,83651.0,188.54,bottas,77.0,Finnish,alfa,Swiss,2023,11,Hungarian Grand Prix,46800000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,9.0,9.0,0.0,78775.0,77563.0,77034.0,35,34,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,77034.0,78775.0,77790.66666666667,24,10,212,0,0,0,0,0,0,0,1,0,1,2,1,1,0,1,0,0,2,269.0,86.0,97.0,86.0,87.0 +44.0,1,4,12.0,70,5927768.0,54.0,2.0,81601.0,193.277,hamilton,44.0,British,mercedes,German,2023,11,Hungarian Grand Prix,46800000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,223.0,2.0,0.0,78577.0,77427.0,76609.0,39,38,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,76609.0,78577.0,77537.66666666667,22,16,321,4,2,2,1,2,2,0,1,0,0,0,0,0,0,0,0,0,0,312.0,94.0,94.0,90.0,92.0 +27.0,10,14,0.0,69,,42.0,13.0,83573.0,188.716,hulkenberg,27.0,German,haas,American,2023,11,Hungarian Grand Prix,46800000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,11.0,8.0,0.0,78695.0,77652.0,77186.0,37,36,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,77186.0,78695.0,77844.33333333333,23,13,195,0,0,0,0,0,0,1,0,0,0,0,1,1,0,4,0,2,0,260.0,79.0,81.0,80.0,80.0 +20.0,19,17,0.0,69,,54.0,16.0,83864.0,188.061,kevin_magnussen,20.0,Danish,haas,American,2023,11,Hungarian Grand Prix,46800000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,11.0,8.0,0.0,79206.0,79206.0,79206.0,32,31,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,79206.0,79206.0,79206.0,22,9,153,0,0,0,0,0,0,0,0,0,2,0,0,2,0,0,0,2,2,236.0,79.0,85.0,82.0,81.0 +16.0,6,7,6.0,70,5958951.0,50.0,6.0,82469.0,191.242,leclerc,16.0,Monegasque,ferrari,Italian,2023,11,Hungarian Grand Prix,46800000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,167.0,4.0,0.0,78440.0,77580.0,76992.0,27,26,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,76992.0,78440.0,77670.66666666667,21,5,114,2,1,1,1,0,1,2,0,1,0,1,0,0,0,0,0,0,0,217.0,92.0,85.0,90.0,89.0 +1.0,2,1,26.0,70,5888634.0,53.0,1.0,80504.0,195.91,max_verstappen,33.0,Dutch,red_bull,Austrian,2023,11,Hungarian Grand Prix,46800000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,8.0,452.0,1.0,11.0,78318.0,77547.0,76612.0,27,26,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,76612.0,78318.0,77492.33333333333,18,8,174,10,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,250.0,97.0,85.0,95.0,94.0 +4.0,3,2,18.0,70,5922365.0,50.0,4.0,82178.0,191.919,norris,4.0,British,mclaren,British,2023,11,Hungarian Grand Prix,46800000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,87.0,5.0,0.0,78697.0,77328.0,76694.0,25,24,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,76694.0,78697.0,77573.0,20,4,93,1,1,0,1,0,1,0,0,2,0,0,0,1,0,0,0,4,0,212.0,91.0,79.0,91.0,89.0 +11.0,9,3,15.0,70,5926237.0,53.0,5.0,82295.0,191.647,perez,11.0,Mexican,red_bull,Austrian,2023,11,Hungarian Grand Prix,46800000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,2.0,452.0,1.0,11.0,78360.0,77675.0,77045.0,34,33,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,77045.0,78360.0,77693.33333333333,21,12,248,5,2,1,1,1,2,0,0,0,0,0,0,0,0,0,1,0,0,284.0,93.0,86.0,87.0,89.0 +81.0,4,5,10.0,70,5951206.0,45.0,8.0,82736.0,190.625,piastri,81.0,Australian,mclaren,British,2023,11,Hungarian Grand Prix,46800000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,87.0,5.0,0.0,78464.0,77571.0,76905.0,23,22,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,76905.0,78464.0,77646.66666666667,22,0,11,0,0,0,1,0,0,0,1,0,1,2,0,1,0,1,1,0,0,202.0,73.0,79.0,77.0,74.0 +3.0,13,13,0.0,69,,67.0,17.0,83934.0,187.904,ricciardo,3.0,Australian,alphatauri,Italian,2023,11,Hungarian Grand Prix,46800000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,2.0,10.0,0.0,78906.0,78002.0,78002.0,35,34,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,78002.0,78906.0,78303.33333333333,22,12,233,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,234.0,89.0,86.0,84.0,85.0 +63.0,18,6,8.0,70,5954459.0,48.0,3.0,82158.0,191.966,russell,63.0,British,mercedes,German,2023,11,Hungarian Grand Prix,46800000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,223.0,2.0,0.0,79027.0,79027.0,79027.0,26,25,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,79027.0,79027.0,79027.0,21,4,93,1,0,1,2,2,0,2,1,0,0,0,0,0,0,0,0,0,1,212.0,87.0,83.0,91.0,88.0 +55.0,11,8,4.0,70,5959707.0,54.0,7.0,82584.0,190.976,sainz,55.0,Spanish,ferrari,Italian,2023,11,Hungarian Grand Prix,46800000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,Finished,0.0,167.0,4.0,0.0,78393.0,77703.0,77703.0,30,29,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,77703.0,78393.0,77933.0,21,8,174,0,0,0,1,4,2,0,1,0,1,0,1,0,0,0,0,0,0,250.0,92.0,81.0,87.0,88.0 +18.0,14,10,1.0,69,,54.0,11.0,83425.0,189.051,stroll,18.0,Canadian,aston_martin,British,2023,11,Hungarian Grand Prix,46800000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,184.0,3.0,0.0,78782.0,78144.0,78144.0,26,25,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,78144.0,78782.0,78356.66666666667,19,6,133,0,0,0,1,0,2,1,0,2,0,0,1,0,1,0,0,0,0,226.0,91.0,78.0,81.0,84.0 +22.0,17,15,0.0,69,,68.0,10.0,83269.0,189.405,tsunoda,22.0,Japanese,alphatauri,Italian,2023,11,Hungarian Grand Prix,46800000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,2.0,10.0,0.0,78919.0,78919.0,78919.0,24,23,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,78919.0,78919.0,78919.0,21,2,55,0,0,0,0,0,0,0,0,0,2,3,1,0,1,1,1,0,0,178.0,79.0,75.0,87.0,83.0 +24.0,5,16,0.0,69,,12.0,15.0,83743.0,188.333,zhou,24.0,Chinese,alfa,Swiss,2023,11,Hungarian Grand Prix,46800000.0,hungaroring,Budapest,Hungary,47.5789,19.2486,264.0,+1 Lap,0.0,9.0,9.0,0.0,78143.0,77700.0,76971.0,25,24,Sunny,1,0,0,0,0,Race circuit,Clockwise,4.381,70.0,306.63,76971.0,78143.0,77604.66666666667,23,1,33,0,0,0,0,0,0,0,0,2,0,0,1,2,0,1,3,0,0,150.0,78.0,74.0,81.0,78.0 +23.0,15,14,0.0,44,5046634.0,35.0,3.0,109841.0,229.553,albon,23.0,Thai,williams,British,2023,12,Belgian Grand Prix,46800000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,11.0,7.0,0.0,120314.0,120314.0,120314.0,28,27,"Partly cloudy, with a rain interval",0,0,0,1,1,Race circuit,Clockwise,7.004,44.0,308.052,120314.0,120314.0,120314.0,23,4,71,0,0,0,0,0,0,1,1,0,1,2,1,0,2,0,1,0,0,207.0,81.0,78.0,86.0,83.0 +14.0,9,5,10.0,44,5006634.0,42.0,13.0,110938.0,227.283,alonso,14.0,Spanish,aston_martin,British,2023,12,Belgian Grand Prix,46800000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,196.0,3.0,0.0,118834.0,112751.0,107843.0,43,42,"Partly cloudy, with a rain interval",0,0,0,1,1,Race circuit,Clockwise,7.004,44.0,308.052,107843.0,118834.0,113142.66666666669,25,17,300,6,2,4,1,1,0,2,0,1,0,0,0,0,0,0,0,0,0,322.0,91.0,78.0,93.0,92.0 +77.0,13,12,0.0,44,5035641.0,26.0,10.0,110515.0,228.153,bottas,77.0,Finnish,alfa,Swiss,2023,12,Belgian Grand Prix,46800000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,9.0,9.0,0.0,119484.0,114694.0,114694.0,35,34,"Partly cloudy, with a rain interval",0,0,0,1,1,Race circuit,Clockwise,7.004,44.0,308.052,114694.0,119484.0,116290.66666666669,24,10,213,0,0,0,0,0,0,0,1,0,1,2,2,1,0,1,0,0,2,269.0,86.0,97.0,86.0,87.0 +10.0,12,11,0.0,44,5033534.0,25.0,12.0,110911.0,227.339,gasly,10.0,French,alpine,French,2023,12,Belgian Grand Prix,46800000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,57.0,6.0,0.0,119511.0,113671.0,113671.0,28,27,"Partly cloudy, with a rain interval",0,0,0,1,1,Race circuit,Clockwise,7.004,44.0,308.052,113671.0,119511.0,115617.66666666669,21,6,120,0,0,0,0,0,0,1,1,2,2,0,1,1,1,0,0,0,1,221.0,89.0,76.0,85.0,85.0 +44.0,3,4,13.0,44,5000121.0,44.0,1.0,107305.0,234.978,hamilton,44.0,British,mercedes,German,2023,12,Belgian Grand Prix,46800000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,247.0,2.0,0.0,118563.0,112345.0,107087.0,39,38,"Partly cloudy, with a rain interval",0,0,0,1,1,Race circuit,Clockwise,7.004,44.0,308.052,107087.0,118563.0,112665.0,22,16,322,4,2,2,2,2,2,0,1,0,0,0,0,0,0,0,0,0,0,312.0,94.0,94.0,90.0,92.0 +27.0,20,18,0.0,44,5060900.0,26.0,4.0,109907.0,229.415,hulkenberg,27.0,German,haas,American,2023,12,Belgian Grand Prix,46800000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,11.0,8.0,0.0,123166.0,123166.0,123166.0,37,36,"Partly cloudy, with a rain interval",0,0,0,1,1,Race circuit,Clockwise,7.004,44.0,308.052,123166.0,123166.0,123166.0,23,13,196,0,0,0,0,0,0,1,0,0,0,0,1,1,1,4,0,2,0,260.0,79.0,81.0,80.0,80.0 +20.0,16,15,0.0,44,5052204.0,27.0,14.0,110993.0,227.171,kevin_magnussen,20.0,Danish,haas,American,2023,12,Belgian Grand Prix,46800000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,11.0,8.0,0.0,120020.0,114160.0,114160.0,32,31,"Partly cloudy, with a rain interval",0,0,0,1,1,Race circuit,Clockwise,7.004,44.0,308.052,114160.0,120020.0,116113.33333333331,22,9,154,0,0,0,0,0,0,0,0,0,2,0,0,2,0,0,0,3,2,236.0,79.0,85.0,82.0,81.0 +16.0,1,3,15.0,44,4982709.0,30.0,7.0,110436.0,228.316,leclerc,16.0,Monegasque,ferrari,Italian,2023,12,Belgian Grand Prix,46800000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,191.0,4.0,0.0,118300.0,112017.0,106988.0,27,26,"Partly cloudy, with a rain interval",0,0,0,1,1,Race circuit,Clockwise,7.004,44.0,308.052,106988.0,118300.0,112435.0,21,5,115,2,1,1,1,0,1,3,0,1,0,1,0,0,0,0,0,0,0,217.0,92.0,85.0,90.0,89.0 +1.0,6,1,25.0,44,4950450.0,32.0,2.0,108922.0,231.49,max_verstappen,33.0,Dutch,red_bull,Austrian,2023,12,Belgian Grand Prix,46800000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,9.0,503.0,1.0,12.0,118515.0,112784.0,106168.0,27,26,"Partly cloudy, with a rain interval",0,0,0,1,1,Race circuit,Clockwise,7.004,44.0,308.052,106168.0,118515.0,112489.0,18,8,175,11,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,250.0,97.0,85.0,95.0,94.0 +4.0,7,7,6.0,44,5024169.0,26.0,18.0,111682.0,225.769,norris,4.0,British,mclaren,British,2023,12,Belgian Grand Prix,46800000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,103.0,5.0,0.0,119981.0,112252.0,107669.0,25,24,"Partly cloudy, with a rain interval",0,0,0,1,1,Race circuit,Clockwise,7.004,44.0,308.052,107669.0,119981.0,113300.66666666669,20,4,94,2,2,0,1,0,1,0,0,2,0,0,0,1,0,0,0,4,0,212.0,91.0,79.0,91.0,89.0 +31.0,14,8,4.0,44,5025169.0,27.0,8.0,110439.0,228.31,ocon,31.0,French,alpine,French,2023,12,Belgian Grand Prix,46800000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,57.0,6.0,0.0,119634.0,116372.0,116372.0,28,27,"Partly cloudy, with a rain interval",0,0,0,1,1,Race circuit,Clockwise,7.004,44.0,308.052,116372.0,119634.0,117459.33333333331,20,7,123,1,0,1,0,0,0,0,3,1,0,0,0,0,2,1,0,0,1,217.0,92.0,76.0,86.0,86.0 +11.0,2,2,18.0,44,4972755.0,31.0,6.0,110308.0,228.581,perez,11.0,Mexican,red_bull,Austrian,2023,12,Belgian Grand Prix,46800000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,2.0,503.0,1.0,12.0,118899.0,112353.0,107045.0,34,33,"Partly cloudy, with a rain interval",0,0,0,1,1,Race circuit,Clockwise,7.004,44.0,308.052,107045.0,118899.0,112765.66666666669,21,12,249,6,2,2,1,1,2,0,0,0,0,0,0,0,0,0,1,0,0,284.0,93.0,86.0,87.0,89.0 +3.0,19,16,0.0,44,5053521.0,25.0,15.0,110994.0,227.169,ricciardo,3.0,Australian,alphatauri,Italian,2023,12,Belgian Grand Prix,46800000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,3.0,10.0,0.0,122159.0,122159.0,122159.0,35,34,"Partly cloudy, with a rain interval",0,0,0,1,1,Race circuit,Clockwise,7.004,44.0,308.052,122159.0,122159.0,122159.0,22,12,234,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,234.0,89.0,86.0,84.0,85.0 +63.0,8,6,8.0,44,5013551.0,25.0,11.0,110603.0,227.972,russell,63.0,British,mercedes,German,2023,12,Belgian Grand Prix,46800000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,247.0,2.0,0.0,119035.0,112605.0,107805.0,26,25,"Partly cloudy, with a rain interval",0,0,0,1,1,Race circuit,Clockwise,7.004,44.0,308.052,107805.0,119035.0,113148.33333333331,21,4,94,1,0,1,2,2,1,2,1,0,0,0,0,0,0,0,0,0,1,212.0,87.0,83.0,91.0,88.0 +2.0,18,17,0.0,44,5054926.0,37.0,9.0,110486.0,228.213,sargeant,2.0,American,williams,British,2023,12,Belgian Grand Prix,46800000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,11.0,7.0,0.0,121535.0,121535.0,121535.0,24,23,"Partly cloudy, with a rain interval",0,0,0,1,1,Race circuit,Clockwise,7.004,44.0,308.052,121535.0,121535.0,121535.0,23,0,12,0,0,0,0,0,0,0,0,0,0,1,1,1,0,0,3,0,2,78.0,84.0,75.0,67.0,71.0 +18.0,10,9,2.0,44,5029790.0,26.0,16.0,111297.0,226.55,stroll,18.0,Canadian,aston_martin,British,2023,12,Belgian Grand Prix,46800000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,196.0,3.0,0.0,119663.0,112193.0,108841.0,26,25,"Partly cloudy, with a rain interval",0,0,0,1,1,Race circuit,Clockwise,7.004,44.0,308.052,108841.0,119663.0,113565.66666666669,19,6,134,0,0,0,1,0,2,1,0,2,1,0,1,0,1,0,0,0,0,226.0,91.0,78.0,81.0,84.0 +22.0,11,10,1.0,44,5030671.0,26.0,17.0,111394.0,226.353,tsunoda,22.0,Japanese,alphatauri,Italian,2023,12,Belgian Grand Prix,46800000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,3.0,10.0,0.0,119044.0,113148.0,113148.0,24,23,"Partly cloudy, with a rain interval",0,0,0,1,1,Race circuit,Clockwise,7.004,44.0,308.052,113148.0,119044.0,115113.33333333331,21,2,56,0,0,0,0,0,0,0,0,0,2,3,1,0,1,2,1,0,0,178.0,79.0,75.0,87.0,83.0 +24.0,17,13,0.0,44,5045891.0,27.0,5.0,110188.0,228.83,zhou,24.0,Chinese,alfa,Swiss,2023,12,Belgian Grand Prix,46800000.0,spa,Spa,Belgium,50.4372,5.97139,401.0,Finished,0.0,9.0,9.0,0.0,120832.0,120832.0,120832.0,25,24,"Partly cloudy, with a rain interval",0,0,0,1,1,Race circuit,Clockwise,7.004,44.0,308.052,120832.0,120832.0,120832.0,23,1,34,0,0,0,0,0,0,0,0,2,0,0,1,2,0,1,4,0,0,150.0,78.0,74.0,81.0,78.0 diff --git a/f1_prediction/assets/data/processed/final_model_X.csv b/f1_prediction/assets/data/processed/final_model_X.csv new file mode 100644 index 0000000..61327a5 --- /dev/null +++ b/f1_prediction/assets/data/processed/final_model_X.csv @@ -0,0 +1,5740 @@ +carNumber,positionGrid,driverRef,driverNumber,driverNationality,constructorRef,constructorNationality,raceYear,raceRound,grandPrix,raceTime,circuitRef,circuitLocation,circuitCountry,circuitLat,circuitLng,circuitAlt,driverWins,constructorWins,q1,q2,q3,driverAgeToday,driverAgeAtRace,weather,weatherWarm,weatherCold,weatherDry,weatherWet,weatherCloudy,circuitType,circuitDirection,circuitLength,circuitLaps,circuitDist,qMin,qMax,qAvg,driverAgeStarted,driverExpYear,driverExpRace,driverPodiums,driverPos2,driverPos3,driverPos4,driverPos5,driverPos6,driverPos7,driverPos8,driverPos9,driverPos10,driverPos11,driverPos12,driverPos13,driverPos14,driverPos15,driverPos16,driverPos17,driverPos18,driverExp,driverRac,driverAwa,driverPac,driverOvr +-0.8125,-0.5454545454545454,-1.0238095238095237,-0.22727272727272727,1.0,0.38461538461538464,-0.2,-1.125,-0.9,-0.5789473684210527,2.142857142857143,-0.85,0.35294117647058826,-0.5294117647058824,-0.7161777483354698,0.7876943539976222,-0.4343891402714932,0.0,0.0,0.22126583640422842,0.16648011138715227,0.18898846227630245,0.5454545454545454,-0.2857142857142857,-0.4270833333333333,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.09277620396600583,-0.058823529411764705,0.7571004662992862,0.1970867358199073,0.19528006214674132,0.19584895309499772,0.4,-0.6,-0.6344086021505376,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,-0.1724137931034483,-0.26666666666666666,0.0,-0.3,-0.18181818181818182 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"markdown", "metadata": {}, "source": [ - "First we will do the tuning of the model that predicts the final position of each driver at a ±1 interval.\n" + "First we will do the selection of the model that predicts the final position of each driver at a ±1 interval.\n" ] }, { diff --git a/f1_prediction/final_model/advanced_tuning.ipynb b/f1_prediction/final_model/advanced_tuning.ipynb new file mode 100644 index 0000000..342d6c8 --- /dev/null +++ b/f1_prediction/final_model/advanced_tuning.ipynb @@ -0,0 +1,32 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Advanced hyperparamenter tuning\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Tuning methods\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "After feature selection, we proceed to advanced hyperparameter tuning. For this purpose, optuna, an automatic hyperparameter optimization software framework specially designed for machine learning, will be used.\n" + ] + } + ], + "metadata": { + "language_info": { + "name": "python" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/f1_prediction/final_model/advanced_tuning_pdm.ipynb b/f1_prediction/final_model/advanced_tuning_pdm.ipynb new file mode 100644 index 0000000..bf8eafb --- /dev/null +++ b/f1_prediction/final_model/advanced_tuning_pdm.ipynb @@ -0,0 +1,621 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Is podium\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Dependencies\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The dependencies used are as follows\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.neighbors import KNeighborsClassifier\n", + "from sklearn.tree import DecisionTreeClassifier\n", + "from sklearn.ensemble import RandomForestClassifier\n", + "from sklearn.neural_network import MLPClassifier\n", + "from sklearn.metrics import make_scorer\n", + "\n", + "from xgboost import XGBClassifier, XGBRegressor, XGBRanker\n", + "\n", + "import sys\n", + "\n", + "sys.path.append(\"..\")\n", + "\n", + "from utils.visualization import model_tuning\n", + "from utils.custom_cvs import VariableTimeSeriesSplit\n", + "from utils.custom_scorers import balanced_accuracy_score, balanced_accuracy_ranker\n", + "\n", + "import pandas as pd\n", + "import numpy as np\n", + "\n", + "pd.set_option(\"display.max_columns\", None)\n", + "pd.set_option(\"display.max_rows\", None)\n", + "\n", + "import warnings\n", + "\n", + "warnings.simplefilter(\"ignore\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Initialization\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We continue with the tuning of the model that predicts the podium\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "df = pd.read_csv(\"../assets/data/processed/final_model.csv\")\n", + "\n", + "mid_rc = df.groupby(\"raceYear\")[\"raceRound\"].max().to_numpy() // 2\n", + "get_half = lambda x: f'{x[\"raceYear\"]}{x[\"raceRound\"] <= mid_rc[x[\"raceYear\"] - 2006]}'\n", + "instances_per_half = df.apply(get_half, axis=1).value_counts(sort=False).to_numpy()\n", + "\n", + "n_splits = len(instances_per_half) - 10\n", + "max_train_size = [instances_per_half[i : 10 + i].sum() for i in range(n_splits)]\n", + "test_size = instances_per_half[10:].tolist()\n", + "tscv = VariableTimeSeriesSplit(\n", + " n_splits=n_splits, max_train_size=max_train_size, test_size=test_size\n", + ")\n", + "\n", + "podiums = df[df[\"positionFinal\"].isin([1, 2, 3])][\n", + " [\"raceYear\", \"raceRound\", \"driverRef\"]\n", + "]\n", + "podiums = podiums.groupby(by=[\"raceYear\", \"raceRound\"]).agg({\"driverRef\": \",\".join})\n", + "\n", + "X = pd.read_csv(\"../assets/data/processed/final_model_X.csv\")\n", + "y = df.merge(podiums, how=\"left\", on=[\"raceYear\", \"raceRound\"], suffixes=(\"\", \"Podium\"))\n", + "y = y.apply(lambda x: x[\"driverRef\"] in x[\"driverRefPodium\"], axis=1)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## K-Nearest Neighbors\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "KNeighborsClassifier: 0.826 with {'n_neighbors': 16, 'metric': 'cosine', 'weights':\n", + "\t'distance'}\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "X_selected = X[\n", + " [\n", + " \"carNumber\",\n", + " \"positionGrid\",\n", + " \"driverNationality\",\n", + " \"raceRound\",\n", + " \"circuitLocation\",\n", + " \"driverWins\",\n", + " \"constructorWins\",\n", + " \"weatherCold\",\n", + " \"weatherWet\",\n", + " \"circuitType\",\n", + " \"circuitDirection\",\n", + " \"driverPos7\",\n", + " \"driverPos9\",\n", + " \"driverPos10\",\n", + " \"driverPos11\",\n", + " \"driverPos12\",\n", + " \"driverPos13\",\n", + " \"driverPos14\",\n", + " \"driverPos15\",\n", + " \"driverPos16\",\n", + " \"driverPos17\",\n", + " \"driverRac\",\n", + " ]\n", + "]\n", + "params = [\n", + " (\"int\", (\"n_neighbors\", 1, 101)),\n", + " (\"categorical\", (\"metric\", [\"cosine\", \"euclidean\", \"manhattan\"])),\n", + " (\"categorical\", (\"weights\", [\"distance\", \"uniform\"])),\n", + "]\n", + "model = KNeighborsClassifier\n", + "scoring = make_scorer(balanced_accuracy_score)\n", + "model_tuning(params, model, X_selected, y, tscv, scoring)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Decision Tree\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "DecisionTreeClassifier: 0.851 with {'max_depth': 1, 'criterion': 'entropy', 'splitter':\n", + "\t'best'}\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "X_selected = X[\n", + " [\n", + " \"positionGrid\",\n", + " \"driverNationality\",\n", + " \"grandPrix\",\n", + " \"driverWins\",\n", + " \"circuitLaps\",\n", + " \"driverAgeStarted\",\n", + " \"driverPos2\",\n", + " \"driverPos4\",\n", + " \"driverPos9\",\n", + " ]\n", + "]\n", + "params = [\n", + " (\"int\", (\"max_depth\", 1, 15)),\n", + " (\"categorical\", (\"criterion\", [\"gini\", \"log_loss\", \"entropy\"])),\n", + " (\"categorical\", (\"splitter\", [\"best\", \"random\"])),\n", + "]\n", + "model = DecisionTreeClassifier\n", + "scoring = make_scorer(balanced_accuracy_score)\n", + "model_tuning(params, model, X_selected, y, tscv, scoring)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Random Forest\n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "RandomForestClassifier: 0.826 with {'max_depth': 8, 'n_estimators': 436, 'criterion':\n", + "\t'gini'}\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "X_selected = X[\n", + " [\n", + " \"positionGrid\",\n", + " \"driverNumber\",\n", + " \"constructorRef\",\n", + " \"raceYear\",\n", + " \"driverWins\",\n", + " \"constructorWins\",\n", + " \"weatherDry\",\n", + " \"driverAgeStarted\",\n", + " \"driverPodiums\",\n", + " \"driverPos2\",\n", + " \"driverPos9\",\n", + " \"driverPos10\",\n", + " \"driverPos11\",\n", + " \"driverPos12\",\n", + " \"driverPos17\",\n", + " \"driverExp\",\n", + " \"driverRac\",\n", + " ]\n", + "]\n", + "params = [\n", + " (\"int\", (\"max_depth\", 1, 50)),\n", + " (\"int\", (\"n_estimators\", 1, 500)),\n", + " (\"categorical\", (\"criterion\", [\"gini\", \"log_loss\", \"entropy\"])),\n", + "]\n", + "model = RandomForestClassifier\n", + "scoring = make_scorer(balanced_accuracy_score)\n", + "model_tuning(params, model, X_selected, y, tscv, scoring)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Multilayer Perceptron\n" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "MLPClassifier: 0.842 with {'activation': 'logistic', 'n_layers': 5, 'n_units_0': 33,\n", + "\t'n_units_1': 31, 'n_units_2': 41, 'n_units_3': 35, 'n_units_4': 38}\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "X_selected = X[\n", + " [\n", + " \"positionGrid\",\n", + " \"driverRef\",\n", + " \"driverNationality\",\n", + " \"constructorNationality\",\n", + " \"grandPrix\",\n", + " \"circuitRef\",\n", + " \"circuitLocation\",\n", + " \"circuitLat\",\n", + " \"constructorWins\",\n", + " \"q1\",\n", + " \"q2\",\n", + " \"q3\",\n", + " \"driverAgeToday\",\n", + " \"weatherDry\",\n", + " \"weatherWet\",\n", + " \"circuitLength\",\n", + " \"qMax\",\n", + " \"qAvg\",\n", + " \"driverPos6\",\n", + " \"driverPos7\",\n", + " \"driverPos10\",\n", + " \"driverPos11\",\n", + " \"driverPos15\",\n", + " \"driverPos16\",\n", + " \"driverExp\",\n", + " \"driverRac\",\n", + " \"driverPac\",\n", + " ]\n", + "]\n", + "params = [\n", + " (\"categorical\", (\"activation\", [\"tanh\", \"logistic\", \"relu\", \"identity\"])),\n", + " (\"mlp\", (\"hidden_layer_sizes\", 10, 100)),\n", + "]\n", + "model = MLPClassifier\n", + "scoring = make_scorer(balanced_accuracy_score)\n", + "model_tuning(params, model, X_selected, y, tscv, scoring)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## XGBClassifier\n" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "XGBClassifier: 0.829 with {'objective': 'binary:logistic', 'learning_rate':\n", + "\t0.18294957954812197, 'n_estimators': 351, 'max_depth': 8, 'min_child_weight': 4,\n", + "\t'gamma': 0.29050118255571056, 'subsample': 0.5806111623793364, 'colsample_bytree':\n", + "\t0.7819840716854337, 'reg_alpha': 3, 'reg_lambda': 88}\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "X_selected = X[\n", + " [\n", + " \"carNumber\",\n", + " \"positionGrid\",\n", + " \"driverNumber\",\n", + " \"constructorRef\",\n", + " \"circuitLat\",\n", + " \"circuitLng\",\n", + " \"circuitAlt\",\n", + " \"circuitDist\",\n", + " \"driverPodiums\",\n", + " \"driverPos2\",\n", + " \"driverPos15\",\n", + " \"driverPos17\",\n", + " \"driverOvr\",\n", + " ]\n", + "]\n", + "params = [\n", + " (\"categorical\", (\"objective\", [\"binary:logistic\"])),\n", + " (\"float\", (\"learning_rate\", 0.01, 0.2)),\n", + " (\"int\", (\"n_estimators\", 20, 500)),\n", + " (\"int\", (\"max_depth\", 1, 20)),\n", + " (\"int\", (\"min_child_weight\", 1, 500)),\n", + " (\"float\", (\"gamma\", 0, 0.9)),\n", + " (\"float\", (\"subsample\", 0.5, 0.9)),\n", + " (\"float\", (\"colsample_bytree\", 0.5, 0.9)),\n", + " (\"int\", (\"reg_alpha\", 0, 101)),\n", + " (\"int\", (\"reg_lambda\", 0, 101)),\n", + "]\n", + "model = XGBClassifier\n", + "scoring = make_scorer(balanced_accuracy_score)\n", + "model_tuning(params, model, X_selected, y, tscv, scoring)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## XGBRegressor\n" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "XGBRegressor: 0.854 with {'objective': 'reg:linear', 'learning_rate':\n", + "\t0.1295066190445028, 'n_estimators': 382, 'max_depth': 19, 'min_child_weight': 233,\n", + "\t'gamma': 0.649204254388373, 'subsample': 0.6713490871313639, 'colsample_bytree':\n", + "\t0.5178145572350884, 'reg_alpha': 0, 'reg_lambda': 36}\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "X_selected = X[\n", + " [\n", + " \"positionGrid\",\n", + " \"constructorRef\",\n", + " \"driverPos9\",\n", + " \"driverOvr\",\n", + " ]\n", + "]\n", + "params = [\n", + " (\"categorical\", (\"objective\", [\"reg:linear\"])),\n", + " (\"float\", (\"learning_rate\", 0.01, 0.2)),\n", + " (\"int\", (\"n_estimators\", 20, 500)),\n", + " (\"int\", (\"max_depth\", 1, 20)),\n", + " (\"int\", (\"min_child_weight\", 1, 500)),\n", + " (\"float\", (\"gamma\", 0, 0.9)),\n", + " (\"float\", (\"subsample\", 0.5, 0.9)),\n", + " (\"float\", (\"colsample_bytree\", 0.5, 0.9)),\n", + " (\"int\", (\"reg_alpha\", 0, 101)),\n", + " (\"int\", (\"reg_lambda\", 0, 101)),\n", + "]\n", + "model = XGBRegressor\n", + "scoring = make_scorer(balanced_accuracy_score)\n", + "model_tuning(params, model, X_selected, y, tscv, scoring)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## XGBRanker\n" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "XGBRanker: 0.840 with {'objective': 'rank:pairwise', 'learning_rate':\n", + "\t0.1283629986012046, 'n_estimators': 391, 'max_depth': 4, 'min_child_weight': 42,\n", + "\t'gamma': 0.8067325416889871, 'subsample': 0.805170010669889, 'colsample_bytree':\n", + "\t0.749726439873576, 'reg_alpha': 5, 'reg_lambda': 70}\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "races_per_year = np.cumsum([0] + df.groupby(\"raceYear\")[\"raceRound\"].max().to_list())\n", + "set_id = lambda y, r: r + (races_per_year[y - 2006])\n", + "\n", + "X[\"qid\"] = df.apply(lambda x: set_id(x[\"raceYear\"], x[\"raceRound\"]), axis=1)\n", + "\n", + "X_selected = X[\n", + " [\n", + " \"carNumber\",\n", + " \"positionGrid\",\n", + " \"driverNumber\",\n", + " \"driverNationality\",\n", + " \"constructorRef\",\n", + " \"constructorNationality\",\n", + " \"raceYear\",\n", + " \"raceRound\",\n", + " \"circuitLocation\",\n", + " \"circuitLat\",\n", + " \"circuitLng\",\n", + " \"constructorWins\",\n", + " \"q2\",\n", + " \"q3\",\n", + " \"driverAgeToday\",\n", + " \"driverAgeAtRace\",\n", + " \"weatherWarm\",\n", + " \"weatherCold\",\n", + " \"weatherDry\",\n", + " \"circuitLaps\",\n", + " \"qMax\",\n", + " \"driverExpYear\",\n", + " \"driverExpRace\",\n", + " \"driverPodiums\",\n", + " \"driverPos2\",\n", + " \"driverPos3\",\n", + " \"driverPos4\",\n", + " \"driverPos6\",\n", + " \"driverPos14\",\n", + " \"driverPos15\",\n", + " \"driverPos17\",\n", + " \"qid\",\n", + " ]\n", + "]\n", + "params = [\n", + " (\"categorical\", (\"objective\", [\"rank:pairwise\"])),\n", + " (\"float\", (\"learning_rate\", 0.01, 0.2)),\n", + " (\"int\", (\"n_estimators\", 20, 500)),\n", + " (\"int\", (\"max_depth\", 1, 20)),\n", + " (\"int\", (\"min_child_weight\", 1, 500)),\n", + " (\"float\", (\"gamma\", 0, 0.9)),\n", + " (\"float\", (\"subsample\", 0.5, 0.9)),\n", + " (\"float\", (\"colsample_bytree\", 0.5, 0.9)),\n", + " (\"int\", (\"reg_alpha\", 0, 101)),\n", + " (\"int\", (\"reg_lambda\", 0, 101)),\n", + "]\n", + "model = XGBRanker\n", + "scoring = balanced_accuracy_ranker\n", + "model_tuning(params, model, X_selected, y, tscv, scoring)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Results\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Therefore, the tuning for each algorithm are as follows\n", + "\n", + "- KNeighborsClassifier: 0.826 with {'n_neighbors': 16, 'metric': 'cosine', 'weights': 'distance'}\n", + "- DecisionTreeClassifier: 0.851 with {'max_depth': 1, 'criterion': 'entropy', 'splitter': 'best'}\n", + "- RandomForestClassifier: 0.826 with {'max_depth': 8, 'n_estimators': 436, 'criterion': 'gini'}\n", + "- MLPClassifier: 0.842 with {'activation': 'logistic', 'n_layers': 5, 'n_units_0': 33, 'n_units_1': 31, 'n_units_2': 41, 'n_units_3': 35, 'n_units_4': 38}\n", + "- XGBClassifier: 0.829 with {'objective': 'binary:logistic', 'learning_rate': 0.18294957954812197, 'n_estimators': 351, 'max_depth': 8, 'min_child_weight': 4, 'gamma': 0.29050118255571056, 'subsample': 0.5806111623793364, 'colsample_bytree': 0.7819840716854337, 'reg_alpha': 3, 'reg_lambda': 88}\n", + "- XGBRegressor: 0.854 with {'objective': 'reg:linear', 'learning_rate': 0.1295066190445028, 'n_estimators': 382, 'max_depth': 19, 'min_child_weight': 233, 'gamma': 0.649204254388373, 'subsample': 0.6713490871313639, 'colsample_bytree': 0.5178145572350884, 'reg_alpha': 0, 'reg_lambda': 36}\n", + "- XGBRanker: 0.840 with {'objective': 'rank:pairwise', 'learning_rate': 0.1283629986012046, 'n_estimators': 391, 'max_depth': 4, 'min_child_weight': 42, 'gamma': 0.8067325416889871, 'subsample': 0.805170010669889, 'colsample_bytree': 0.749726439873576, 'reg_alpha': 5, 'reg_lambda': 70}\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.11" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/f1_prediction/final_model/advanced_tuning_posvar.ipynb b/f1_prediction/final_model/advanced_tuning_posvar.ipynb new file mode 100644 index 0000000..392a58c --- /dev/null +++ b/f1_prediction/final_model/advanced_tuning_posvar.ipynb @@ -0,0 +1,727 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Final position in variable interval\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Dependencies\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The dependencies used are as follows\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.neighbors import KNeighborsClassifier\n", + "from sklearn.tree import DecisionTreeClassifier\n", + "from sklearn.ensemble import RandomForestClassifier\n", + "from sklearn.neural_network import MLPClassifier\n", + "from sklearn.metrics import make_scorer\n", + "\n", + "from xgboost import XGBClassifier, XGBRegressor, XGBRanker\n", + "\n", + "import sys\n", + "\n", + "sys.path.append(\"..\")\n", + "\n", + "from utils.visualization import model_tuning\n", + "from utils.custom_cvs import VariableTimeSeriesSplit\n", + "from utils.custom_scorers import (\n", + " balanced_accuracy_1interval_score,\n", + " balanced_accuracy_1interval_ranker,\n", + ")\n", + "\n", + "import pandas as pd\n", + "import numpy as np\n", + "\n", + "pd.set_option(\"display.max_columns\", None)\n", + "pd.set_option(\"display.max_rows\", None)\n", + "\n", + "import warnings\n", + "\n", + "warnings.simplefilter(\"ignore\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Initialization\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "First we will do the tuning of the model that predicts the final position of each driver at a ±1 interval.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "df = pd.read_csv(\"../assets/data/processed/final_model.csv\")\n", + "\n", + "mid_rc = df.groupby(\"raceYear\")[\"raceRound\"].max().to_numpy() // 2\n", + "get_half = lambda x: f'{x[\"raceYear\"]}{x[\"raceRound\"] <= mid_rc[x[\"raceYear\"] - 2006]}'\n", + "instances_per_half = df.apply(get_half, axis=1).value_counts(sort=False).to_numpy()\n", + "\n", + "n_splits = len(instances_per_half) - 10\n", + "max_train_size = [instances_per_half[i : 10 + i].sum() for i in range(n_splits)]\n", + "test_size = instances_per_half[10:].tolist()\n", + "tscv = VariableTimeSeriesSplit(\n", + " n_splits=n_splits, max_train_size=max_train_size, test_size=test_size\n", + ")\n", + "\n", + "X = pd.read_csv(\"../assets/data/processed/final_model_X.csv\")\n", + "y = df[\"positionFinal\"]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## K-Nearest Neighbors\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "KNeighborsClassifier: 0.389 with {'n_neighbors': 16, 'metric': 'manhattan', 'weights':\n", + "\t'distance'}\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "X_selected = X[\n", + " [\n", + " \"positionGrid\",\n", + " \"driverRef\",\n", + " \"raceYear\",\n", + " \"raceRound\",\n", + " \"driverWins\",\n", + " \"constructorWins\",\n", + " \"driverAgeToday\",\n", + " \"weatherCold\",\n", + " \"weatherDry\",\n", + " \"weatherWet\",\n", + " \"circuitLaps\",\n", + " \"driverExpYear\",\n", + " \"driverExpRace\",\n", + " \"driverPos2\",\n", + " \"driverPos3\",\n", + " \"driverPos4\",\n", + " \"driverPos5\",\n", + " \"driverPos8\",\n", + " \"driverPos9\",\n", + " \"driverPos12\",\n", + " \"driverPos13\",\n", + " \"driverPos17\",\n", + " \"driverPos18\",\n", + " \"driverRac\",\n", + " \"driverPac\",\n", + " ]\n", + "]\n", + "\n", + "\n", + "params = [\n", + " (\"int\", (\"n_neighbors\", 1, 101)),\n", + " (\"categorical\", (\"metric\", [\"cosine\", \"euclidean\", \"manhattan\"])),\n", + " (\"categorical\", (\"weights\", [\"distance\", \"uniform\"])),\n", + "]\n", + "\n", + "\n", + "model = KNeighborsClassifier\n", + "\n", + "\n", + "scoring = make_scorer(balanced_accuracy_1interval_score)\n", + "\n", + "\n", + "model_tuning(params, model, X_selected, y, tscv, scoring)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Decision Tree\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "DecisionTreeClassifier: 0.402 with {'max_depth': 4, 'criterion': 'gini', 'splitter':\n", + "\t'best'}\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "X_selected = X[\n", + " [\n", + " \"positionGrid\",\n", + " \"driverNationality\",\n", + " \"raceYear\",\n", + " \"grandPrix\",\n", + " \"raceTime\",\n", + " \"circuitRef\",\n", + " \"circuitLocation\",\n", + " \"circuitCountry\",\n", + " \"circuitLat\",\n", + " \"circuitLng\",\n", + " \"circuitAlt\",\n", + " \"constructorWins\",\n", + " \"q1\",\n", + " \"q2\",\n", + " \"q3\",\n", + " \"weather\",\n", + " \"weatherWarm\",\n", + " \"weatherCold\",\n", + " \"weatherDry\",\n", + " \"weatherWet\",\n", + " \"weatherCloudy\",\n", + " \"circuitType\",\n", + " \"circuitDirection\",\n", + " \"circuitLength\",\n", + " \"circuitLaps\",\n", + " \"circuitDist\",\n", + " \"qMin\",\n", + " \"qMax\",\n", + " \"qAvg\",\n", + " \"driverAgeStarted\",\n", + " \"driverPodiums\",\n", + " \"driverPos3\",\n", + " \"driverPos4\",\n", + " \"driverPos5\",\n", + " \"driverPos8\",\n", + " \"driverPos10\",\n", + " \"driverPos11\",\n", + " \"driverPos12\",\n", + " \"driverPos15\",\n", + " \"driverPos17\",\n", + " \"driverPos18\",\n", + " \"driverPac\",\n", + " ]\n", + "]\n", + "\n", + "\n", + "params = [\n", + " (\"int\", (\"max_depth\", 1, 15)),\n", + " (\"categorical\", (\"criterion\", [\"gini\", \"log_loss\", \"entropy\"])),\n", + " (\"categorical\", (\"splitter\", [\"best\", \"random\"])),\n", + "]\n", + "\n", + "\n", + "model = DecisionTreeClassifier\n", + "\n", + "\n", + "scoring = make_scorer(balanced_accuracy_1interval_score)\n", + "\n", + "\n", + "model_tuning(params, model, X_selected, y, tscv, scoring)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Random Forest\n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "RandomForestClassifier: 0.428 with {'max_depth': 7, 'n_estimators': 292, 'criterion':\n", + "\t'entropy'}\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "X_selected = X[\n", + " [\n", + " \"positionGrid\",\n", + " \"constructorRef\",\n", + " \"raceYear\",\n", + " \"circuitCountry\",\n", + " \"driverWins\",\n", + " \"weatherDry\",\n", + " \"circuitType\",\n", + " \"qMax\",\n", + " \"driverExpYear\",\n", + " \"driverPos3\",\n", + " \"driverPos5\",\n", + " \"driverPos7\",\n", + " \"driverPos8\",\n", + " \"driverPos13\",\n", + " ]\n", + "]\n", + "\n", + "\n", + "params = [\n", + " (\"int\", (\"max_depth\", 1, 50)),\n", + " (\"int\", (\"n_estimators\", 1, 500)),\n", + " (\"categorical\", (\"criterion\", [\"gini\", \"log_loss\", \"entropy\"])),\n", + "]\n", + "\n", + "\n", + "model = RandomForestClassifier\n", + "\n", + "\n", + "scoring = make_scorer(balanced_accuracy_1interval_score)\n", + "\n", + "\n", + "model_tuning(params, model, X_selected, y, tscv, scoring)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Multilayer Perceptron\n" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "MLPClassifier: 0.437 with {'activation': 'logistic', 'n_layers': 2, 'n_units_0': 47,\n", + "\t'n_units_1': 25}\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "X_selected = X[\n", + " [\n", + " \"positionGrid\",\n", + " \"driverNumber\",\n", + " \"constructorNationality\",\n", + " \"circuitCountry\",\n", + " \"circuitLat\",\n", + " \"circuitLng\",\n", + " \"driverWins\",\n", + " \"weatherWarm\",\n", + " \"weatherCloudy\",\n", + " \"circuitLaps\",\n", + " \"qMin\",\n", + " \"driverPodiums\",\n", + " \"driverPos3\",\n", + " \"driverPos6\",\n", + " \"driverPos9\",\n", + " \"driverPos15\",\n", + " \"driverPos17\",\n", + " \"driverRac\",\n", + " \"driverAwa\",\n", + " ]\n", + "]\n", + "\n", + "\n", + "params = [\n", + " (\"categorical\", (\"activation\", [\"tanh\", \"logistic\", \"identity\", \"relu\"])),\n", + " (\"mlp\", (\"hidden_layer_sizes\", 4, 50)),\n", + "]\n", + "\n", + "\n", + "model = MLPClassifier\n", + "\n", + "\n", + "scoring = make_scorer(balanced_accuracy_1interval_score)\n", + "\n", + "\n", + "model_tuning(params, model, X_selected, y, tscv, scoring)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## XGBClassifier\n" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "XGBClassifier: 0.421 with {'objective': 'multi:softmax', 'learning_rate':\n", + "\t0.08582939395916275, 'n_estimators': 334, 'max_depth': 14, 'min_child_weight': 1,\n", + "\t'gamma': 0.2007647640582077, 'subsample': 0.8028533603905642, 'colsample_bytree':\n", + "\t0.7154227055164297, 'reg_alpha': 4, 'reg_lambda': 55}\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "X_selected = X[\n", + " [\n", + " \"carNumber\",\n", + " \"positionGrid\",\n", + " \"driverRef\",\n", + " \"driverNumber\",\n", + " \"constructorRef\",\n", + " \"constructorNationality\",\n", + " \"raceYear\",\n", + " \"raceRound\",\n", + " \"grandPrix\",\n", + " \"raceTime\",\n", + " \"circuitRef\",\n", + " \"circuitLat\",\n", + " \"circuitLng\",\n", + " \"circuitAlt\",\n", + " \"driverWins\",\n", + " \"constructorWins\",\n", + " \"q3\",\n", + " \"driverAgeAtRace\",\n", + " \"weatherWarm\",\n", + " \"weatherDry\",\n", + " \"circuitType\",\n", + " \"circuitDirection\",\n", + " \"circuitLength\",\n", + " \"qMin\",\n", + " \"qMax\",\n", + " \"qAvg\",\n", + " \"driverPodiums\",\n", + " \"driverPos2\",\n", + " \"driverPos5\",\n", + " \"driverPos7\",\n", + " \"driverPos8\",\n", + " \"driverPos9\",\n", + " \"driverPos10\",\n", + " \"driverPos15\",\n", + " \"driverPos17\",\n", + " \"driverExp\",\n", + " \"driverRac\",\n", + " \"driverOvr\",\n", + " ]\n", + "]\n", + "params = [\n", + " (\"categorical\", (\"objective\", [\"multi:softmax\"])),\n", + " (\"float\", (\"learning_rate\", 0.01, 0.2)),\n", + " (\"int\", (\"n_estimators\", 20, 500)),\n", + " (\"int\", (\"max_depth\", 1, 20)),\n", + " (\"int\", (\"min_child_weight\", 1, 500)),\n", + " (\"float\", (\"gamma\", 0, 0.9)),\n", + " (\"float\", (\"subsample\", 0.5, 0.9)),\n", + " (\"float\", (\"colsample_bytree\", 0.5, 0.9)),\n", + " (\"int\", (\"reg_alpha\", 0, 101)),\n", + " (\"int\", (\"reg_lambda\", 0, 101)),\n", + "]\n", + "model = XGBClassifier\n", + "scoring = make_scorer(balanced_accuracy_1interval_score)\n", + "model_tuning(params, model, X_selected, y - 1, tscv, scoring)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## XGBRegressor\n" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "XGBRegressor: 0.411 with {'objective': 'reg:linear', 'learning_rate':\n", + "\t0.18517350997324947, 'n_estimators': 395, 'max_depth': 16, 'min_child_weight': 94,\n", + "\t'gamma': 0.16242064862534417, 'subsample': 0.6071469551618005, 'colsample_bytree':\n", + "\t0.7848869553625191, 'reg_alpha': 64, 'reg_lambda': 100}\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "X_selected = X[\n", + " [\n", + " \"positionGrid\",\n", + " \"driverRef\",\n", + " \"weatherWet\",\n", + " \"circuitType\",\n", + " \"driverPodiums\",\n", + " \"driverPos2\",\n", + " \"driverPos3\",\n", + " \"driverPos5\",\n", + " \"driverPos6\",\n", + " \"driverPos7\",\n", + " \"driverPos8\",\n", + " \"driverPos10\",\n", + " \"driverPos12\",\n", + " \"driverPos14\",\n", + " \"driverPos15\",\n", + " \"driverPos17\",\n", + " \"driverPac\",\n", + " \"driverOvr\",\n", + " ]\n", + "]\n", + "params = [\n", + " (\"categorical\", (\"objective\", [\"reg:linear\"])),\n", + " (\"float\", (\"learning_rate\", 0.01, 0.2)),\n", + " (\"int\", (\"n_estimators\", 20, 500)),\n", + " (\"int\", (\"max_depth\", 1, 20)),\n", + " (\"int\", (\"min_child_weight\", 1, 500)),\n", + " (\"float\", (\"gamma\", 0, 0.9)),\n", + " (\"float\", (\"subsample\", 0.5, 0.9)),\n", + " (\"float\", (\"colsample_bytree\", 0.5, 0.9)),\n", + " (\"int\", (\"reg_alpha\", 0, 101)),\n", + " (\"int\", (\"reg_lambda\", 0, 101)),\n", + "]\n", + "model = XGBRegressor\n", + "scoring = make_scorer(balanced_accuracy_1interval_score)\n", + "model_tuning(params, model, X_selected, y - 1, tscv, scoring)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## XGBRanker\n" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "XGBRanker: 0.541 with {'objective': 'rank:pairwise', 'learning_rate':\n", + "\t0.04189820511305815, 'n_estimators': 192, 'max_depth': 9, 'min_child_weight': 54,\n", + "\t'gamma': 0.8661594450075584, 'subsample': 0.8739552860337986, 'colsample_bytree':\n", + "\t0.7763941630015024, 'reg_alpha': 7, 'reg_lambda': 14}\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "races_per_year = np.cumsum([0] + df.groupby(\"raceYear\")[\"raceRound\"].max().to_list())\n", + "set_id = lambda y, r: r + (races_per_year[y - 2006])\n", + "\n", + "X[\"qid\"] = df.apply(lambda x: set_id(x[\"raceYear\"], x[\"raceRound\"]), axis=1)\n", + "\n", + "X_selected = X[\n", + " [\n", + " \"carNumber\",\n", + " \"positionGrid\",\n", + " \"driverRef\",\n", + " \"driverNumber\",\n", + " \"driverNationality\",\n", + " \"constructorNationality\",\n", + " \"raceRound\",\n", + " \"raceTime\",\n", + " \"circuitAlt\",\n", + " \"driverWins\",\n", + " \"constructorWins\",\n", + " \"q1\",\n", + " \"q2\",\n", + " \"weather\",\n", + " \"weatherWarm\",\n", + " \"weatherDry\",\n", + " \"weatherWet\",\n", + " \"weatherCloudy\",\n", + " \"circuitType\",\n", + " \"circuitLength\",\n", + " \"circuitLaps\",\n", + " \"circuitDist\",\n", + " \"qMin\",\n", + " \"qMax\",\n", + " \"driverAgeStarted\",\n", + " \"driverExpYear\",\n", + " \"driverExpRace\",\n", + " \"driverPodiums\",\n", + " \"driverPos2\",\n", + " \"driverPos3\",\n", + " \"driverPos4\",\n", + " \"driverPos5\",\n", + " \"driverPos6\",\n", + " \"driverPos7\",\n", + " \"driverPos8\",\n", + " \"driverPos9\",\n", + " \"driverPos10\",\n", + " \"driverPos11\",\n", + " \"driverPos14\",\n", + " \"driverPos16\",\n", + " \"driverPos18\",\n", + " \"driverExp\",\n", + " \"driverAwa\",\n", + " \"driverPac\",\n", + " \"qid\",\n", + " ]\n", + "]\n", + "params = [\n", + " (\"categorical\", (\"objective\", [\"rank:pairwise\"])),\n", + " (\"float\", (\"learning_rate\", 0.01, 0.2)),\n", + " (\"int\", (\"n_estimators\", 20, 500)),\n", + " (\"int\", (\"max_depth\", 1, 20)),\n", + " (\"int\", (\"min_child_weight\", 1, 500)),\n", + " (\"float\", (\"gamma\", 0, 0.9)),\n", + " (\"float\", (\"subsample\", 0.5, 0.9)),\n", + " (\"float\", (\"colsample_bytree\", 0.5, 0.9)),\n", + " (\"int\", (\"reg_alpha\", 0, 101)),\n", + " (\"int\", (\"reg_lambda\", 0, 101)),\n", + "]\n", + "model = XGBRanker\n", + "scoring = balanced_accuracy_1interval_ranker\n", + "model_tuning(params, model, X_selected, y, tscv, scoring)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Results\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Therefore, the tuning for each algorithm are as follows\n", + "\n", + "- KNeighborsClassifier: 0.389 with {'n_neighbors': 16, 'metric': 'manhattan', 'weights': 'distance'}\n", + "- DecisionTreeClassifier: 0.402 with {'max_depth': 4, 'criterion': 'gini', 'splitter': 'best'}\n", + "- RandomForestClassifier: 0.428 with {'max_depth': 7, 'n_estimators': 292, 'criterion': 'entropy'}\n", + "- MLPClassifier: 0.437 with {'activation': 'logistic', 'n_layers': 2, 'n_units_0': 47, 'n_units_1': 25}\n", + "- XGBClassifier: 0.421 with {'objective': 'multi:softmax', 'learning_rate': 0.08582939395916275, 'n_estimators': 334, 'max_depth': 14, 'min_child_weight': 1, 'gamma': 0.2007647640582077, 'subsample': 0.8028533603905642, 'colsample_bytree': 0.7154227055164297, 'reg_alpha': 4, 'reg_lambda': 55}\n", + "- XGBRegressor: 0.411 with {'objective': 'reg:linear', 'learning_rate': 0.18517350997324947, 'n_estimators': 395, 'max_depth': 16, 'min_child_weight': 94, 'gamma': 0.16242064862534417, 'subsample': 0.6071469551618005, 'colsample_bytree': 0.7848869553625191, 'reg_alpha': 64, 'reg_lambda': 100}\n", + "- XGBRanker: 0.541 with {'objective': 'rank:pairwise', 'learning_rate': 0.04189820511305815, 'n_estimators': 192, 'max_depth': 9, 'min_child_weight': 54, 'gamma': 0.8661594450075584, 'subsample': 0.8739552860337986, 'colsample_bytree': 0.7763941630015024, 'reg_alpha': 7, 'reg_lambda': 14}\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.11" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/f1_prediction/final_model/feature_selection.ipynb b/f1_prediction/final_model/feature_selection.ipynb new file mode 100644 index 0000000..f361513 --- /dev/null +++ b/f1_prediction/final_model/feature_selection.ipynb @@ -0,0 +1,112 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Feature selection\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Dependencies\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The dependencies used are as follows\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.model_selection import cross_val_score" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Selection methods\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "After hyperparameter tuning, we proceed to attribute selection. Three methods will be used for this\n", + "\n", + "- To see the most important attributes, PermutationImportance\n", + "- For a more exhaustive search, SequentialForwardSelector\n", + "- For a more stochastic search, GeneticAlgorithms\n", + "\n", + "The main method will be Sequential forward selection (SFS), in which features are sequentially added to an empty candidate set until the addition of more features does not lower the criterion.\n", + "\n", + "PermutationImportance we will use it to corroborate the results, as well as to see which attributes contribute the most to the performance of the model. The performance obtained by this measure and the previous one may differ because, even if one measure is of little relevance by itself, combined with others it can improve the model significantly.\n", + "\n", + "Finally, we will use genetic algorithms to check with a small stochastic search if there is a possibility that there are other combinations that improve performance. This is because SequentialForwardSelector adds measures starting from one measure, i.e., it does not check all combinations and there may be a better one. Regarding the genetic algorithm itself, the fitness function will correspond to the cross-validation of a binary individual, where a 1 in position i will represent that measure i is taken for the evaluation, and if it is 0 it is not.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "def fitness_func(ga_instance, individual, individual_idx):\n", + " res = []\n", + "\n", + " if rank:\n", + " individual[X.columns.get_loc(\"qid\")] = 1\n", + "\n", + " idx = [i for i in range(len(individual)) if individual[i] == 1]\n", + "\n", + " attributes = X.iloc[:, idx]\n", + " objective = y\n", + "\n", + " if not attributes.empty:\n", + " res.extend(\n", + " cross_val_score(\n", + " estimator=estimator,\n", + " X=attributes,\n", + " y=objective,\n", + " cv=tscv,\n", + " scoring=scor,\n", + " n_jobs=-1,\n", + " )\n", + " )\n", + "\n", + " avg_cross_val_score = sum(res) / len(res) if not attributes.empty else -10000\n", + " return avg_cross_val_score" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.11" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/f1_prediction/final_model/feature_selection_pdm.ipynb b/f1_prediction/final_model/feature_selection_pdm.ipynb new file mode 100644 index 0000000..caab7a4 --- /dev/null +++ b/f1_prediction/final_model/feature_selection_pdm.ipynb @@ -0,0 +1,566 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Is podium\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Dependencies\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The dependencies used are as follows\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.neighbors import KNeighborsClassifier\n", + "from sklearn.tree import DecisionTreeClassifier\n", + "from sklearn.ensemble import RandomForestClassifier\n", + "from sklearn.neural_network import MLPClassifier\n", + "from sklearn.metrics import make_scorer\n", + "\n", + "from xgboost import XGBClassifier, XGBRegressor, XGBRanker\n", + "\n", + "import sys\n", + "\n", + "sys.path.append(\"..\")\n", + "\n", + "from utils.visualization import model_selection\n", + "from utils.custom_cvs import VariableTimeSeriesSplit\n", + "from utils.custom_scorers import balanced_accuracy_score, balanced_accuracy_ranker\n", + "\n", + "import pandas as pd\n", + "import numpy as np\n", + "\n", + "pd.set_option(\"display.max_columns\", None)\n", + "pd.set_option(\"display.max_rows\", None)\n", + "\n", + "import warnings\n", + "\n", + "warnings.simplefilter(\"ignore\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Initialization\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We continue with the selection of the model that predicts the podium\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "df = pd.read_csv(\"../assets/data/processed/final_model.csv\")\n", + "\n", + "mid_rc = df.groupby(\"raceYear\")[\"raceRound\"].max().to_numpy() // 2\n", + "get_half = lambda x: f'{x[\"raceYear\"]}{x[\"raceRound\"] <= mid_rc[x[\"raceYear\"] - 2006]}'\n", + "instances_per_half = df.apply(get_half, axis=1).value_counts(sort=False).to_numpy()\n", + "\n", + "n_splits = len(instances_per_half) - 10\n", + "max_train_size = [instances_per_half[i : 10 + i].sum() for i in range(n_splits)]\n", + "test_size = instances_per_half[10:].tolist()\n", + "tscv = VariableTimeSeriesSplit(\n", + " n_splits=n_splits, max_train_size=max_train_size, test_size=test_size\n", + ")\n", + "\n", + "podiums = df[df[\"positionFinal\"].isin([1, 2, 3])][\n", + " [\"raceYear\", \"raceRound\", \"driverRef\"]\n", + "]\n", + "podiums = podiums.groupby(by=[\"raceYear\", \"raceRound\"]).agg({\"driverRef\": \",\".join})\n", + "\n", + "X = pd.read_csv(\"../assets/data/processed/final_model_X.csv\")\n", + "y = df.merge(podiums, how=\"left\", on=[\"raceYear\", \"raceRound\"], suffixes=(\"\", \"Podium\"))\n", + "y = y.apply(lambda x: x[\"driverRef\"] in x[\"driverRefPodium\"], axis=1)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## K-Nearest Neighbors\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "PI: 0.771 with (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19,\n", + "\t20, 21, 22, 23, 24, 25, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42,\n", + "\t43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63) ==\n", + "\t('carNumber', 'circuitAlt', 'circuitCountry', 'circuitDirection', 'circuitDist',\n", + "\t'circuitLaps', 'circuitLat', 'circuitLength', 'circuitLng', 'circuitLocation',\n", + "\t'circuitRef', 'circuitType', 'constructorNationality', 'constructorRef',\n", + "\t'constructorWins', 'driverAgeAtRace', 'driverAgeStarted', 'driverAgeToday',\n", + "\t'driverAwa', 'driverExp', 'driverExpRace', 'driverExpYear', 'driverNationality',\n", + "\t'driverNumber', 'driverOvr', 'driverPac', 'driverPodiums', 'driverPos10',\n", + "\t'driverPos11', 'driverPos12', 'driverPos13', 'driverPos14', 'driverPos15',\n", + "\t'driverPos16', 'driverPos17', 'driverPos18', 'driverPos2', 'driverPos3', 'driverPos4',\n", + "\t'driverPos5', 'driverPos6', 'driverPos7', 'driverPos8', 'driverPos9', 'driverRac',\n", + "\t'driverRef', 'driverWins', 'grandPrix', 'positionGrid', 'q1', 'q2', 'q3', 'qAvg',\n", + "\t'qMax', 'qMin', 'raceRound', 'raceTime', 'raceYear', 'weather', 'weatherCloudy',\n", + "\t'weatherDry', 'weatherWarm', 'weatherWet')\n", + "SFS: 0.831 with (0, 1, 4, 8, 12, 17, 18, 26, 28, 30, 31, 47, 49, 50, 51, 52, 53, 54, 55,\n", + "\t56, 57, 60) == ('carNumber', 'positionGrid', 'driverNationality', 'raceRound',\n", + "\t'circuitLocation', 'driverWins', 'constructorWins', 'weatherCold', 'weatherWet',\n", + "\t'circuitType', 'circuitDirection', 'driverPos7', 'driverPos9', 'driverPos10',\n", + "\t'driverPos11', 'driverPos12', 'driverPos13', 'driverPos14', 'driverPos15',\n", + "\t'driverPos16', 'driverPos17', 'driverRac')\n", + "GA: 0.797 with (1, 8, 12, 13, 18, 27, 28, 29, 37, 47, 50, 51, 52, 55, 60) ==\n", + "\t('positionGrid', 'raceRound', 'circuitLocation', 'circuitCountry', 'constructorWins',\n", + "\t'weatherDry', 'weatherWet', 'weatherCloudy', 'qAvg', 'driverPos7', 'driverPos10',\n", + "\t'driverPos11', 'driverPos12', 'driverPos15', 'driverRac')\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "knn = KNeighborsClassifier(n_neighbors=9, metric=\"cosine\", weights=\"distance\")\n", + "scoring = make_scorer(balanced_accuracy_score)\n", + "model_selection(knn, X, y, tscv, scoring)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Decision Tree\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "PI: 0.791 with (1, 18) == ('constructorWins', 'positionGrid')\n", + "SFS: 0.829 with (1, 4, 9, 17, 33, 38, 42, 44, 49) == ('positionGrid',\n", + "\t'driverNationality', 'grandPrix', 'driverWins', 'circuitLaps', 'driverAgeStarted',\n", + "\t'driverPos2', 'driverPos4', 'driverPos9')\n", + "GA: 0.816 with (1, 3, 4, 6, 8, 9, 11, 12, 13, 14, 16, 18, 20, 24, 27, 30, 33, 35, 44,\n", + "\t53, 54, 56, 59) == ('positionGrid', 'driverNumber', 'driverNationality',\n", + "\t'constructorNationality', 'raceRound', 'grandPrix', 'circuitRef', 'circuitLocation',\n", + "\t'circuitCountry', 'circuitLat', 'circuitAlt', 'constructorWins', 'q2', 'weather',\n", + "\t'weatherDry', 'circuitType', 'circuitLaps', 'qMin', 'driverPos4', 'driverPos13',\n", + "\t'driverPos14', 'driverPos16', 'driverExp')\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "tree = DecisionTreeClassifier(criterion=\"entropy\", max_depth=3, splitter=\"best\")\n", + "scoring = make_scorer(balanced_accuracy_score)\n", + "model_selection(tree, X, y, tscv, scoring)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Random Forest\n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "PI: 0.803 with (0, 1, 2, 3, 5, 6, 7, 9, 12, 13, 15, 16, 17, 18, 19, 20, 22, 32, 33, 35,\n", + "\t36, 38, 39, 40, 41, 42, 43, 44, 45, 49, 50, 51, 52, 53, 54, 55, 56, 58, 60, 62, 63) ==\n", + "\t('carNumber', 'circuitAlt', 'circuitCountry', 'circuitLaps', 'circuitLength',\n", + "\t'circuitLng', 'circuitLocation', 'constructorNationality', 'constructorRef',\n", + "\t'constructorWins', 'driverAgeStarted', 'driverAgeToday', 'driverExpRace',\n", + "\t'driverExpYear', 'driverNumber', 'driverOvr', 'driverPac', 'driverPodiums',\n", + "\t'driverPos10', 'driverPos11', 'driverPos12', 'driverPos13', 'driverPos14',\n", + "\t'driverPos15', 'driverPos16', 'driverPos18', 'driverPos2', 'driverPos3', 'driverPos4',\n", + "\t'driverPos5', 'driverPos9', 'driverRac', 'driverRef', 'driverWins', 'grandPrix',\n", + "\t'positionGrid', 'q1', 'q2', 'qMax', 'qMin', 'raceYear')\n", + "SFS: 0.826 with (1, 3, 5, 7, 17, 18, 27, 38, 41, 42, 49, 50, 51, 52, 57, 59, 60) ==\n", + "\t('positionGrid', 'driverNumber', 'constructorRef', 'raceYear', 'driverWins',\n", + "\t'constructorWins', 'weatherDry', 'driverAgeStarted', 'driverPodiums', 'driverPos2',\n", + "\t'driverPos9', 'driverPos10', 'driverPos11', 'driverPos12', 'driverPos17', 'driverExp',\n", + "\t'driverRac')\n", + "GA: 0.813 with (0, 1, 3, 6, 7, 11, 13, 14, 15, 16, 18, 19, 20, 26, 30, 38, 39, 41, 42,\n", + "\t43, 44, 46, 48, 52, 54, 56, 57, 58, 60, 62, 63) == ('carNumber', 'positionGrid',\n", + "\t'driverNumber', 'constructorNationality', 'raceYear', 'circuitRef', 'circuitCountry',\n", + "\t'circuitLat', 'circuitLng', 'circuitAlt', 'constructorWins', 'q1', 'q2', 'weatherCold',\n", + "\t'circuitType', 'driverAgeStarted', 'driverExpYear', 'driverPodiums', 'driverPos2',\n", + "\t'driverPos3', 'driverPos4', 'driverPos6', 'driverPos8', 'driverPos12', 'driverPos14',\n", + "\t'driverPos16', 'driverPos17', 'driverPos18', 'driverRac', 'driverPac', 'driverOvr')\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "random_forest = RandomForestClassifier(criterion=\"gini\", max_depth=6, n_estimators=100)\n", + "scoring = make_scorer(balanced_accuracy_score)\n", + "model_selection(random_forest, X, y, tscv, scoring)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Multilayer Perceptron\n" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "PI: 0.815 with (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19,\n", + "\t20, 21, 23, 24, 25, 26, 27, 28, 29, 30, 31, 33, 34, 35, 36, 38, 39, 40, 41, 42, 43, 44,\n", + "\t45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 61, 62, 63) ==\n", + "\t('carNumber', 'circuitAlt', 'circuitCountry', 'circuitDirection', 'circuitDist',\n", + "\t'circuitLaps', 'circuitLat', 'circuitLng', 'circuitLocation', 'circuitRef',\n", + "\t'circuitType', 'constructorNationality', 'constructorRef', 'constructorWins',\n", + "\t'driverAgeAtRace', 'driverAgeStarted', 'driverAwa', 'driverExp', 'driverExpRace',\n", + "\t'driverExpYear', 'driverNationality', 'driverNumber', 'driverOvr', 'driverPac',\n", + "\t'driverPodiums', 'driverPos10', 'driverPos11', 'driverPos12', 'driverPos13',\n", + "\t'driverPos14', 'driverPos15', 'driverPos16', 'driverPos17', 'driverPos18',\n", + "\t'driverPos2', 'driverPos3', 'driverPos4', 'driverPos5', 'driverPos6', 'driverPos7',\n", + "\t'driverPos8', 'driverPos9', 'driverRef', 'driverWins', 'grandPrix', 'positionGrid',\n", + "\t'q1', 'q2', 'q3', 'qMax', 'qMin', 'raceRound', 'raceTime', 'raceYear', 'weather',\n", + "\t'weatherCloudy', 'weatherCold', 'weatherDry', 'weatherWarm', 'weatherWet')\n", + "SFS: 0.851 with (1, 2, 4, 6, 9, 11, 12, 14, 18, 19, 20, 21, 22, 27, 28, 32, 36, 37, 46,\n", + "\t47, 50, 51, 55, 56, 59, 60, 62) == ('positionGrid', 'driverRef', 'driverNationality',\n", + "\t'constructorNationality', 'grandPrix', 'circuitRef', 'circuitLocation', 'circuitLat',\n", + "\t'constructorWins', 'q1', 'q2', 'q3', 'driverAgeToday', 'weatherDry', 'weatherWet',\n", + "\t'circuitLength', 'qMax', 'qAvg', 'driverPos6', 'driverPos7', 'driverPos10',\n", + "\t'driverPos11', 'driverPos15', 'driverPos16', 'driverExp', 'driverRac', 'driverPac')\n", + "GA: 0.839 with (0, 1, 2, 8, 9, 10, 12, 17, 19, 20, 21, 22, 25, 26, 28, 32, 34, 35, 36,\n", + "\t37, 40, 41, 42, 43, 45, 49, 52, 60, 61, 62) == ('carNumber', 'positionGrid',\n", + "\t'driverRef', 'raceRound', 'grandPrix', 'raceTime', 'circuitLocation', 'driverWins',\n", + "\t'q1', 'q2', 'q3', 'driverAgeToday', 'weatherWarm', 'weatherCold', 'weatherWet',\n", + "\t'circuitLength', 'circuitDist', 'qMin', 'qMax', 'qAvg', 'driverExpRace',\n", + "\t'driverPodiums', 'driverPos2', 'driverPos3', 'driverPos5', 'driverPos9', 'driverPos12',\n", + "\t'driverRac', 'driverAwa', 'driverPac')\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "nn = MLPClassifier(activation=\"logistic\", hidden_layer_sizes=(50, 20, 5))\n", + "scoring = make_scorer(balanced_accuracy_score)\n", + "model_selection(nn, X, y, tscv, scoring)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## XGBClassifier\n" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "PI: 0.812 with (0, 1, 3, 17, 18, 40, 41, 42, 43, 45, 47, 50, 52, 55, 62, 63) ==\n", + "\t('carNumber', 'constructorWins', 'driverExpRace', 'driverNumber', 'driverOvr',\n", + "\t'driverPac', 'driverPodiums', 'driverPos10', 'driverPos12', 'driverPos15',\n", + "\t'driverPos2', 'driverPos3', 'driverPos5', 'driverPos7', 'driverWins', 'positionGrid')\n", + "SFS: 0.826 with (0, 1, 3, 5, 14, 15, 16, 34, 41, 42, 55, 57, 63) == ('carNumber',\n", + "\t'positionGrid', 'driverNumber', 'constructorRef', 'circuitLat', 'circuitLng',\n", + "\t'circuitAlt', 'circuitDist', 'driverPodiums', 'driverPos2', 'driverPos15',\n", + "\t'driverPos17', 'driverOvr')\n", + "GA: 0.819 with (0, 1, 2, 3, 4, 5, 9, 10, 11, 15, 28, 29, 31, 34, 35, 36, 37, 40, 41, 42,\n", + "\t43, 44, 48, 51, 53, 54, 55, 56, 58, 59, 61, 62, 63) == ('carNumber', 'positionGrid',\n", + "\t'driverRef', 'driverNumber', 'driverNationality', 'constructorRef', 'grandPrix',\n", + "\t'raceTime', 'circuitRef', 'circuitLng', 'weatherWet', 'weatherCloudy',\n", + "\t'circuitDirection', 'circuitDist', 'qMin', 'qMax', 'qAvg', 'driverExpRace',\n", + "\t'driverPodiums', 'driverPos2', 'driverPos3', 'driverPos4', 'driverPos8', 'driverPos11',\n", + "\t'driverPos13', 'driverPos14', 'driverPos15', 'driverPos16', 'driverPos18', 'driverExp',\n", + "\t'driverAwa', 'driverPac', 'driverOvr')\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "xgbc = XGBClassifier(\n", + " objective=\"binary:logistic\",\n", + " subsample=0.75,\n", + " reg_lambda=10,\n", + " reg_alpha=10,\n", + " n_estimators=50,\n", + " min_child_weight=15,\n", + " max_depth=3,\n", + " learning_rate=0.2,\n", + " gamma=0.5,\n", + " colsample_bytree=0.9,\n", + ")\n", + "scoring = make_scorer(balanced_accuracy_score)\n", + "model_selection(xgbc, X, y, tscv, scoring)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## XGBRegressor\n" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "PI: 0.822 with (0, 1, 2, 13, 17, 18, 19, 41, 42, 62) == ('carNumber', 'circuitCountry',\n", + "\t'constructorWins', 'driverPac', 'driverPodiums', 'driverPos2', 'driverRef',\n", + "\t'driverWins', 'positionGrid', 'q1')\n", + "SFS: 0.834 with (1, 5, 49, 63) == ('positionGrid', 'constructorRef', 'driverPos9',\n", + "\t'driverOvr')\n", + "GA: 0.832 with (0, 1, 2, 3, 8, 12, 14, 16, 17, 25, 26, 27, 28, 30, 31, 32, 33, 34, 35,\n", + "\t36, 38, 40, 41, 45, 46, 47, 48, 53, 57, 59) == ('carNumber', 'positionGrid',\n", + "\t'driverRef', 'driverNumber', 'raceRound', 'circuitLocation', 'circuitLat',\n", + "\t'circuitAlt', 'driverWins', 'weatherWarm', 'weatherCold', 'weatherDry', 'weatherWet',\n", + "\t'circuitType', 'circuitDirection', 'circuitLength', 'circuitLaps', 'circuitDist',\n", + "\t'qMin', 'qMax', 'driverAgeStarted', 'driverExpRace', 'driverPodiums', 'driverPos5',\n", + "\t'driverPos6', 'driverPos7', 'driverPos8', 'driverPos13', 'driverPos17', 'driverExp')\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "xgbr = XGBRegressor(\n", + " objective=\"reg:linear\",\n", + " subsample=0.75,\n", + " reg_lambda=0,\n", + " reg_alpha=0,\n", + " n_estimators=50,\n", + " min_child_weight=200,\n", + " max_depth=3,\n", + " learning_rate=0.1,\n", + " gamma=0,\n", + " colsample_bytree=0.75,\n", + ")\n", + "scoring = make_scorer(balanced_accuracy_score)\n", + "model_selection(xgbr, X, y, tscv, scoring)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## XGBRanker\n" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "PI: 0.837 with (0, 1, 2, 3, 4, 5, 6, 7, 8, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22,\n", + "\t23, 24, 25, 28, 29, 32, 33, 34, 37, 38, 39, 40, 41, 42, 44, 45, 48, 50, 58, 59, 60, 61,\n", + "\t62, 63, 64) == ('carNumber', 'circuitAlt', 'circuitCountry', 'circuitDist',\n", + "\t'circuitLaps', 'circuitLat', 'circuitLength', 'circuitLng', 'circuitRef',\n", + "\t'constructorNationality', 'constructorRef', 'constructorWins', 'driverAgeAtRace',\n", + "\t'driverAgeStarted', 'driverAgeToday', 'driverAwa', 'driverExp', 'driverExpRace',\n", + "\t'driverExpYear', 'driverNationality', 'driverNumber', 'driverOvr', 'driverPac',\n", + "\t'driverPodiums', 'driverPos10', 'driverPos18', 'driverPos2', 'driverPos4',\n", + "\t'driverPos5', 'driverPos8', 'driverRac', 'driverRef', 'driverWins', 'positionGrid',\n", + "\t'q1', 'q2', 'q3', 'qAvg', 'qid', 'raceRound', 'raceYear', 'weather', 'weatherCloudy',\n", + "\t'weatherWarm', 'weatherWet')\n", + "SFS: 0.849 with (0, 1, 3, 4, 5, 6, 7, 8, 12, 14, 15, 18, 20, 21, 22, 23, 25, 26, 27, 33,\n", + "\t36, 39, 40, 41, 42, 43, 44, 46, 54, 55, 57, 64) == ('carNumber', 'positionGrid',\n", + "\t'driverNumber', 'driverNationality', 'constructorRef', 'constructorNationality',\n", + "\t'raceYear', 'raceRound', 'circuitLocation', 'circuitLat', 'circuitLng',\n", + "\t'constructorWins', 'q2', 'q3', 'driverAgeToday', 'driverAgeAtRace', 'weatherWarm',\n", + "\t'weatherCold', 'weatherDry', 'circuitLaps', 'qMax', 'driverExpYear', 'driverExpRace',\n", + "\t'driverPodiums', 'driverPos2', 'driverPos3', 'driverPos4', 'driverPos6', 'driverPos14',\n", + "\t'driverPos15', 'driverPos17', 'qid')\n", + "GA: 0.840 with (1, 3, 4, 5, 6, 7, 9, 11, 13, 15, 18, 23, 26, 27, 28, 31, 34, 35, 36, 39,\n", + "\t40, 42, 43, 45, 48, 49, 50, 52, 53, 58, 62, 63, 64) == ('positionGrid', 'driverNumber',\n", + "\t'driverNationality', 'constructorRef', 'constructorNationality', 'raceYear',\n", + "\t'grandPrix', 'circuitRef', 'circuitCountry', 'circuitLng', 'constructorWins',\n", + "\t'driverAgeAtRace', 'weatherCold', 'weatherDry', 'weatherWet', 'circuitDirection',\n", + "\t'circuitDist', 'qMin', 'qMax', 'driverExpYear', 'driverExpRace', 'driverPos2',\n", + "\t'driverPos3', 'driverPos5', 'driverPos8', 'driverPos9', 'driverPos10', 'driverPos12',\n", + "\t'driverPos13', 'driverPos18', 'driverPac', 'driverOvr', 'qid')\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "races_per_year = np.cumsum([0] + df.groupby(\"raceYear\")[\"raceRound\"].max().to_list())\n", + "set_id = lambda y, r: r + (races_per_year[y - 2006])\n", + "\n", + "X[\"qid\"] = df.apply(lambda x: set_id(x[\"raceYear\"], x[\"raceRound\"]), axis=1)\n", + "\n", + "xgbk = XGBRanker(\n", + " objective=\"rank:pairwise\",\n", + " subsample=0.5,\n", + " reg_lambda=3,\n", + " reg_alpha=0,\n", + " n_estimators=150,\n", + " min_child_weight=15,\n", + " max_depth=5,\n", + " learning_rate=0.01,\n", + " gamma=0.9,\n", + " colsample_bytree=0.5,\n", + ")\n", + "scoring = balanced_accuracy_ranker\n", + "model_selection(xgbk, X, y, tscv, scoring, rank=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Results\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Therefore, the selection for each algorithm are as follows\n", + "\n", + "- KNeighborsClassifier: 0.831 with ('carNumber', 'positionGrid', 'driverNationality', 'raceRound', 'circuitLocation', 'driverWins', 'constructorWins', 'weatherCold', 'weatherWet', 'circuitType', 'circuitDirection', 'driverPos7', 'driverPos9', 'driverPos10', 'driverPos11', 'driverPos12', 'driverPos13', 'driverPos14', 'driverPos15', 'driverPos16', 'driverPos17', 'driverRac')\n", + "- DecisionTreeClassifier: 0.829 with ('positionGrid', 'driverNationality', 'grandPrix', 'driverWins', 'circuitLaps', 'driverAgeStarted', 'driverPos2', 'driverPos4', 'driverPos9')\n", + "- RandomForestClassifier: 0.826 with ('positionGrid', 'driverNumber', 'constructorRef', 'raceYear', 'driverWins', 'constructorWins', 'weatherDry', 'driverAgeStarted', 'driverPodiums', 'driverPos2', 'driverPos9', 'driverPos10', 'driverPos11', 'driverPos12', 'driverPos17', 'driverExp', 'driverRac')\n", + "- MLPClassifier: 0.851 with ('positionGrid', 'driverRef', 'driverNationality', 'constructorNationality', 'grandPrix', 'circuitRef', 'circuitLocation', 'circuitLat', 'constructorWins', 'q1', 'q2', 'q3', 'driverAgeToday', 'weatherDry', 'weatherWet', 'circuitLength', 'qMax', 'qAvg', 'driverPos6', 'driverPos7', 'driverPos10', 'driverPos11', 'driverPos15', 'driverPos16', 'driverExp', 'driverRac', 'driverPac')\n", + "- XGBClassifier: 0.826 with ('carNumber', 'positionGrid', 'driverNumber', 'constructorRef', 'circuitLat', 'circuitLng', 'circuitAlt', 'circuitDist', 'driverPodiums', 'driverPos2', 'driverPos15', 'driverPos17', 'driverOvr')\n", + "- XGBRegressor: 0.834 with ('positionGrid', 'constructorRef', 'driverPos9', 'driverOvr')\n", + "- XGBRanker: 0.849 with ('carNumber', 'positionGrid', 'driverNumber', 'driverNationality', 'constructorRef', 'constructorNationality', 'raceYear', 'raceRound', 'circuitLocation', 'circuitLat', 'circuitLng', 'constructorWins', 'q2', 'q3', 'driverAgeToday', 'driverAgeAtRace', 'weatherWarm', 'weatherCold', 'weatherDry', 'circuitLaps', 'qMax', 'driverExpYear', 'driverExpRace', 'driverPodiums', 'driverPos2', 'driverPos3', 'driverPos4', 'driverPos6', 'driverPos14', 'driverPos15', 'driverPos17', 'qid')\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.11" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/f1_prediction/final_model/feature_selection_posvar.ipynb b/f1_prediction/final_model/feature_selection_posvar.ipynb new file mode 100644 index 0000000..4031e34 --- /dev/null +++ b/f1_prediction/final_model/feature_selection_posvar.ipynb @@ -0,0 +1,598 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Final position in variable interval\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Dependencies\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The dependencies used are as follows\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.neighbors import KNeighborsClassifier\n", + "from sklearn.tree import DecisionTreeClassifier\n", + "from sklearn.ensemble import RandomForestClassifier\n", + "from sklearn.neural_network import MLPClassifier\n", + "from sklearn.metrics import make_scorer\n", + "\n", + "from xgboost import XGBClassifier, XGBRegressor, XGBRanker\n", + "\n", + "import sys\n", + "\n", + "sys.path.append(\"..\")\n", + "\n", + "from utils.visualization import model_selection\n", + "from utils.custom_cvs import VariableTimeSeriesSplit\n", + "from utils.custom_scorers import (\n", + " balanced_accuracy_1interval_score,\n", + " balanced_accuracy_1interval_ranker,\n", + ")\n", + "\n", + "import pandas as pd\n", + "import numpy as np\n", + "\n", + "pd.set_option(\"display.max_columns\", None)\n", + "pd.set_option(\"display.max_rows\", None)\n", + "\n", + "import warnings\n", + "\n", + "warnings.simplefilter(\"ignore\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Initialization\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "First we will do the selection of the model that predicts the final position of each driver at a ±1 interval.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "df = pd.read_csv(\"../assets/data/processed/final_model.csv\")\n", + "\n", + "mid_rc = df.groupby(\"raceYear\")[\"raceRound\"].max().to_numpy() // 2\n", + "get_half = lambda x: f'{x[\"raceYear\"]}{x[\"raceRound\"] <= mid_rc[x[\"raceYear\"] - 2006]}'\n", + "instances_per_half = df.apply(get_half, axis=1).value_counts(sort=False).to_numpy()\n", + "\n", + "n_splits = len(instances_per_half) - 10\n", + "max_train_size = [instances_per_half[i : 10 + i].sum() for i in range(n_splits)]\n", + "test_size = instances_per_half[10:].tolist()\n", + "tscv = VariableTimeSeriesSplit(\n", + " n_splits=n_splits, max_train_size=max_train_size, test_size=test_size\n", + ")\n", + "\n", + "X = pd.read_csv(\"../assets/data/processed/final_model_X.csv\")\n", + "y = df[\"positionFinal\"]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## K-Nearest Neighbors\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "PI: 0.308 with (0, 9, 10, 14, 15, 16, 17, 18, 34, 40, 41, 42, 43, 44, 45, 46, 47, 51,\n", + "\t52, 54, 55, 56, 57, 58, 59, 61) == ('carNumber', 'circuitAlt', 'circuitDist',\n", + "\t'circuitLat', 'circuitLng', 'constructorWins', 'driverAwa', 'driverExp',\n", + "\t'driverExpRace', 'driverPodiums', 'driverPos11', 'driverPos12', 'driverPos14',\n", + "\t'driverPos15', 'driverPos16', 'driverPos17', 'driverPos18', 'driverPos2', 'driverPos3',\n", + "\t'driverPos4', 'driverPos5', 'driverPos6', 'driverPos7', 'driverWins', 'grandPrix',\n", + "\t'raceTime')\n", + "SFS: 0.387 with (1, 2, 7, 8, 17, 18, 22, 26, 27, 28, 33, 39, 40, 42, 43, 44, 45, 48, 49,\n", + "\t52, 53, 57, 58, 60, 62) == ('positionGrid', 'driverRef', 'raceYear', 'raceRound',\n", + "\t'driverWins', 'constructorWins', 'driverAgeToday', 'weatherCold', 'weatherDry',\n", + "\t'weatherWet', 'circuitLaps', 'driverExpYear', 'driverExpRace', 'driverPos2',\n", + "\t'driverPos3', 'driverPos4', 'driverPos5', 'driverPos8', 'driverPos9', 'driverPos12',\n", + "\t'driverPos13', 'driverPos17', 'driverPos18', 'driverRac', 'driverPac')\n", + "GA: 0.358 with (0, 1, 3, 4, 5, 8, 9, 17, 18, 24, 25, 26, 29, 31, 32, 33, 35, 36, 38, 40,\n", + "\t41, 43, 44, 46, 49, 52, 53, 54, 55, 56, 57, 59, 60, 61) == ('carNumber',\n", + "\t'positionGrid', 'driverNumber', 'driverNationality', 'constructorRef', 'raceRound',\n", + "\t'grandPrix', 'driverWins', 'constructorWins', 'weather', 'weatherWarm', 'weatherCold',\n", + "\t'weatherCloudy', 'circuitDirection', 'circuitLength', 'circuitLaps', 'qMin', 'qMax',\n", + "\t'driverAgeStarted', 'driverExpRace', 'driverPodiums', 'driverPos3', 'driverPos4',\n", + "\t'driverPos6', 'driverPos9', 'driverPos12', 'driverPos13', 'driverPos14', 'driverPos15',\n", + "\t'driverPos16', 'driverPos17', 'driverExp', 'driverRac', 'driverAwa')\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "knn = KNeighborsClassifier(n_neighbors=15, metric=\"manhattan\", weights=\"distance\")\n", + "scoring = make_scorer(balanced_accuracy_1interval_score)\n", + "model_selection(knn, X, y, tscv, scoring)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Decision Tree\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "PI: 0.377 with (0, 1, 18, 41, 42, 52) == ('carNumber', 'constructorWins',\n", + "\t'driverPodiums', 'driverPos12', 'driverPos2', 'positionGrid')\n", + "SFS: 0.402 with (1, 4, 7, 9, 10, 11, 12, 13, 14, 15, 16, 18, 19, 20, 21, 24, 25, 26, 27,\n", + "\t28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 41, 43, 44, 45, 48, 50, 51, 52, 55, 57, 58,\n", + "\t62) == ('positionGrid', 'driverNationality', 'raceYear', 'grandPrix', 'raceTime',\n", + "\t'circuitRef', 'circuitLocation', 'circuitCountry', 'circuitLat', 'circuitLng',\n", + "\t'circuitAlt', 'constructorWins', 'q1', 'q2', 'q3', 'weather', 'weatherWarm',\n", + "\t'weatherCold', 'weatherDry', 'weatherWet', 'weatherCloudy', 'circuitType',\n", + "\t'circuitDirection', 'circuitLength', 'circuitLaps', 'circuitDist', 'qMin', 'qMax',\n", + "\t'qAvg', 'driverAgeStarted', 'driverPodiums', 'driverPos3', 'driverPos4', 'driverPos5',\n", + "\t'driverPos8', 'driverPos10', 'driverPos11', 'driverPos12', 'driverPos15',\n", + "\t'driverPos17', 'driverPos18', 'driverPac')\n", + "GA: 0.393 with (1, 3, 4, 7, 8, 11, 12, 16, 17, 18, 19, 20, 26, 28, 30, 31, 32, 33, 35,\n", + "\t36, 40, 41, 45, 48, 49, 52, 57, 61) == ('positionGrid', 'driverNumber',\n", + "\t'driverNationality', 'raceYear', 'raceRound', 'circuitRef', 'circuitLocation',\n", + "\t'circuitAlt', 'driverWins', 'constructorWins', 'q1', 'q2', 'weatherCold', 'weatherWet',\n", + "\t'circuitType', 'circuitDirection', 'circuitLength', 'circuitLaps', 'qMin', 'qMax',\n", + "\t'driverExpRace', 'driverPodiums', 'driverPos5', 'driverPos8', 'driverPos9',\n", + "\t'driverPos12', 'driverPos17', 'driverAwa')\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "tree = DecisionTreeClassifier(criterion=\"gini\", max_depth=4, splitter=\"best\")\n", + "scoring = make_scorer(balanced_accuracy_1interval_score)\n", + "model_selection(tree, X, y, tscv, scoring)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Random Forest\n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "PI: 0.386 with (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19,\n", + "\t20, 21, 22, 23, 24, 25, 28, 30, 31, 32, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45,\n", + "\t46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63) ==\n", + "\t('carNumber', 'circuitAlt', 'circuitCountry', 'circuitDirection', 'circuitDist',\n", + "\t'circuitLat', 'circuitLength', 'circuitLng', 'circuitLocation', 'circuitRef',\n", + "\t'circuitType', 'constructorNationality', 'constructorRef', 'constructorWins',\n", + "\t'driverAgeAtRace', 'driverAgeStarted', 'driverAgeToday', 'driverAwa', 'driverExp',\n", + "\t'driverExpRace', 'driverExpYear', 'driverNationality', 'driverNumber', 'driverOvr',\n", + "\t'driverPac', 'driverPodiums', 'driverPos10', 'driverPos11', 'driverPos12',\n", + "\t'driverPos13', 'driverPos14', 'driverPos15', 'driverPos16', 'driverPos17',\n", + "\t'driverPos18', 'driverPos2', 'driverPos3', 'driverPos4', 'driverPos5', 'driverPos6',\n", + "\t'driverPos7', 'driverPos8', 'driverPos9', 'driverRac', 'driverRef', 'driverWins',\n", + "\t'grandPrix', 'positionGrid', 'q1', 'q2', 'q3', 'qAvg', 'qMax', 'qMin', 'raceRound',\n", + "\t'raceTime', 'raceYear', 'weather', 'weatherWarm', 'weatherWet')\n", + "SFS: 0.427 with (1, 5, 7, 13, 17, 27, 30, 36, 39, 43, 45, 47, 48, 53) ==\n", + "\t('positionGrid', 'constructorRef', 'raceYear', 'circuitCountry', 'driverWins',\n", + "\t'weatherDry', 'circuitType', 'qMax', 'driverExpYear', 'driverPos3', 'driverPos5',\n", + "\t'driverPos7', 'driverPos8', 'driverPos13')\n", + "GA: 0.405 with (1, 2, 4, 6, 9, 12, 13, 19, 21, 26, 30, 34, 40, 41, 42, 44, 46, 53, 54,\n", + "\t59) == ('positionGrid', 'driverRef', 'driverNationality', 'constructorNationality',\n", + "\t'grandPrix', 'circuitLocation', 'circuitCountry', 'q1', 'q3', 'weatherCold',\n", + "\t'circuitType', 'circuitDist', 'driverExpRace', 'driverPodiums', 'driverPos2',\n", + "\t'driverPos4', 'driverPos6', 'driverPos13', 'driverPos14', 'driverExp')\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "random_forest = RandomForestClassifier(\n", + " criterion=\"log_loss\", max_depth=6, n_estimators=200\n", + ")\n", + "\n", + "scoring = make_scorer(balanced_accuracy_1interval_score)\n", + "model_selection(random_forest, X, y, tscv, scoring)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Multilayer Perceptron\n" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "PI: 0.409 with (0, 1, 2, 3, 5, 8, 9, 10, 14, 15, 16, 17, 18, 19, 24, 25, 26, 29, 30, 31,\n", + "\t32, 34, 35, 38, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 57, 60,\n", + "\t62, 63) == ('carNumber', 'circuitAlt', 'circuitDirection', 'circuitDist', 'circuitLat',\n", + "\t'circuitLength', 'circuitLng', 'circuitType', 'constructorRef', 'constructorWins',\n", + "\t'driverAgeStarted', 'driverExpRace', 'driverNumber', 'driverOvr', 'driverPac',\n", + "\t'driverPodiums', 'driverPos10', 'driverPos11', 'driverPos12', 'driverPos13',\n", + "\t'driverPos14', 'driverPos15', 'driverPos17', 'driverPos2', 'driverPos3', 'driverPos4',\n", + "\t'driverPos5', 'driverPos6', 'driverPos7', 'driverPos8', 'driverPos9', 'driverRac',\n", + "\t'driverRef', 'driverWins', 'grandPrix', 'positionGrid', 'q1', 'qMin', 'raceRound',\n", + "\t'raceTime', 'weather', 'weatherCloudy', 'weatherCold', 'weatherWarm')\n", + "SFS: 0.431 with (1, 3, 6, 13, 14, 15, 17, 25, 29, 33, 35, 41, 43, 46, 49, 55, 57, 60,\n", + "\t61) == ('positionGrid', 'driverNumber', 'constructorNationality', 'circuitCountry',\n", + "\t'circuitLat', 'circuitLng', 'driverWins', 'weatherWarm', 'weatherCloudy',\n", + "\t'circuitLaps', 'qMin', 'driverPodiums', 'driverPos3', 'driverPos6', 'driverPos9',\n", + "\t'driverPos15', 'driverPos17', 'driverRac', 'driverAwa')\n", + "GA: 0.422 with (1, 8, 10, 12, 13, 14, 16, 17, 18, 19, 22, 24, 25, 32, 34, 36, 38, 41,\n", + "\t43, 44, 45, 46, 48, 49, 51, 52, 58, 62) == ('positionGrid', 'raceRound', 'raceTime',\n", + "\t'circuitLocation', 'circuitCountry', 'circuitLat', 'circuitAlt', 'driverWins',\n", + "\t'constructorWins', 'q1', 'driverAgeToday', 'weather', 'weatherWarm', 'circuitLength',\n", + "\t'circuitDist', 'qMax', 'driverAgeStarted', 'driverPodiums', 'driverPos3', 'driverPos4',\n", + "\t'driverPos5', 'driverPos6', 'driverPos8', 'driverPos9', 'driverPos11', 'driverPos12',\n", + "\t'driverPos18', 'driverPac')\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "nn = MLPClassifier(activation=\"logistic\", hidden_layer_sizes=(50, 25))\n", + "scoring = make_scorer(balanced_accuracy_1interval_score)\n", + "model_selection(nn, X, y, tscv, scoring)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## XGBClassifier\n" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "PI: 0.407 with (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19,\n", + "\t20, 21, 22, 23, 24, 25, 27, 28, 29, 30, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43,\n", + "\t44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63) ==\n", + "\t('carNumber', 'circuitAlt', 'circuitCountry', 'circuitDist', 'circuitLaps',\n", + "\t'circuitLat', 'circuitLength', 'circuitLng', 'circuitLocation', 'circuitRef',\n", + "\t'circuitType', 'constructorNationality', 'constructorRef', 'constructorWins',\n", + "\t'driverAgeAtRace', 'driverAgeStarted', 'driverAgeToday', 'driverAwa', 'driverExp',\n", + "\t'driverExpRace', 'driverExpYear', 'driverNationality', 'driverNumber', 'driverOvr',\n", + "\t'driverPac', 'driverPodiums', 'driverPos10', 'driverPos11', 'driverPos12',\n", + "\t'driverPos13', 'driverPos14', 'driverPos15', 'driverPos16', 'driverPos17',\n", + "\t'driverPos18', 'driverPos2', 'driverPos3', 'driverPos4', 'driverPos5', 'driverPos6',\n", + "\t'driverPos7', 'driverPos8', 'driverPos9', 'driverRac', 'driverRef', 'driverWins',\n", + "\t'grandPrix', 'positionGrid', 'q1', 'q2', 'q3', 'qAvg', 'qMax', 'qMin', 'raceRound',\n", + "\t'raceTime', 'raceYear', 'weather', 'weatherCloudy', 'weatherDry', 'weatherWarm',\n", + "\t'weatherWet')\n", + "SFS: 0.428 with (0, 1, 2, 3, 5, 6, 7, 8, 9, 10, 11, 14, 15, 16, 17, 18, 21, 23, 25, 27,\n", + "\t30, 31, 32, 35, 36, 37, 41, 42, 45, 47, 48, 49, 50, 55, 57, 59, 60, 63) ==\n", + "\t('carNumber', 'positionGrid', 'driverRef', 'driverNumber', 'constructorRef',\n", + "\t'constructorNationality', 'raceYear', 'raceRound', 'grandPrix', 'raceTime',\n", + "\t'circuitRef', 'circuitLat', 'circuitLng', 'circuitAlt', 'driverWins',\n", + "\t'constructorWins', 'q3', 'driverAgeAtRace', 'weatherWarm', 'weatherDry', 'circuitType',\n", + "\t'circuitDirection', 'circuitLength', 'qMin', 'qMax', 'qAvg', 'driverPodiums',\n", + "\t'driverPos2', 'driverPos5', 'driverPos7', 'driverPos8', 'driverPos9', 'driverPos10',\n", + "\t'driverPos15', 'driverPos17', 'driverExp', 'driverRac', 'driverOvr')\n", + "GA: 0.412 with (1, 2, 5, 8, 10, 14, 16, 18, 19, 20, 23, 25, 27, 31, 32, 38, 40, 43, 44,\n", + "\t45, 48, 49, 53, 55, 58, 60, 62) == ('positionGrid', 'driverRef', 'constructorRef',\n", + "\t'raceRound', 'raceTime', 'circuitLat', 'circuitAlt', 'constructorWins', 'q1', 'q2',\n", + "\t'driverAgeAtRace', 'weatherWarm', 'weatherDry', 'circuitDirection', 'circuitLength',\n", + "\t'driverAgeStarted', 'driverExpRace', 'driverPos3', 'driverPos4', 'driverPos5',\n", + "\t'driverPos8', 'driverPos9', 'driverPos13', 'driverPos15', 'driverPos18', 'driverRac',\n", + "\t'driverPac')\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "xgbc = XGBClassifier(\n", + " objective=\"multi:softmax\",\n", + " subsample=0.9,\n", + " reg_lambda=0,\n", + " reg_alpha=3,\n", + " n_estimators=150,\n", + " min_child_weight=5,\n", + " max_depth=10,\n", + " learning_rate=0.1,\n", + " gamma=0.5,\n", + " colsample_bytree=0.75,\n", + ")\n", + "scoring = make_scorer(balanced_accuracy_1interval_score)\n", + "model_selection(xgbc, X, y - 1, tscv, scoring)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## XGBRegressor\n" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "PI: 0.387 with (0, 1, 2, 3, 5, 6, 7, 8, 9, 10, 13, 14, 15, 17, 18, 19, 20, 21, 22, 23,\n", + "\t24, 28, 30, 32, 33, 34, 36, 37, 38, 39, 40, 41, 42, 44, 45, 46, 47, 48, 49, 51, 52, 54,\n", + "\t55, 56, 57, 58, 60, 61, 62, 63) == ('carNumber', 'circuitCountry', 'circuitDist',\n", + "\t'circuitLaps', 'circuitLat', 'circuitLength', 'circuitLng', 'circuitType',\n", + "\t'constructorNationality', 'constructorRef', 'constructorWins', 'driverAgeAtRace',\n", + "\t'driverAgeStarted', 'driverAgeToday', 'driverAwa', 'driverExpRace', 'driverExpYear',\n", + "\t'driverNumber', 'driverOvr', 'driverPac', 'driverPodiums', 'driverPos11',\n", + "\t'driverPos12', 'driverPos14', 'driverPos15', 'driverPos16', 'driverPos17',\n", + "\t'driverPos18', 'driverPos2', 'driverPos4', 'driverPos5', 'driverPos6', 'driverPos7',\n", + "\t'driverPos8', 'driverPos9', 'driverRac', 'driverRef', 'driverWins', 'grandPrix',\n", + "\t'positionGrid', 'q1', 'q2', 'q3', 'qAvg', 'qMax', 'raceRound', 'raceTime', 'raceYear',\n", + "\t'weather', 'weatherWet')\n", + "SFS: 0.409 with (1, 2, 28, 30, 41, 42, 43, 45, 46, 47, 48, 50, 52, 54, 55, 57, 62, 63)\n", + "\t== ('positionGrid', 'driverRef', 'weatherWet', 'circuitType', 'driverPodiums',\n", + "\t'driverPos2', 'driverPos3', 'driverPos5', 'driverPos6', 'driverPos7', 'driverPos8',\n", + "\t'driverPos10', 'driverPos12', 'driverPos14', 'driverPos15', 'driverPos17', 'driverPac',\n", + "\t'driverOvr')\n", + "GA: 0.394 with (1, 2, 4, 6, 7, 8, 12, 16, 18, 19, 20, 22, 26, 33, 36, 40, 42, 45, 46,\n", + "\t47, 48, 49, 50, 51, 52, 53, 57, 58, 59, 60, 62) == ('positionGrid', 'driverRef',\n", + "\t'driverNationality', 'constructorNationality', 'raceYear', 'raceRound',\n", + "\t'circuitLocation', 'circuitAlt', 'constructorWins', 'q1', 'q2', 'driverAgeToday',\n", + "\t'weatherCold', 'circuitLaps', 'qMax', 'driverExpRace', 'driverPos2', 'driverPos5',\n", + "\t'driverPos6', 'driverPos7', 'driverPos8', 'driverPos9', 'driverPos10', 'driverPos11',\n", + "\t'driverPos12', 'driverPos13', 'driverPos17', 'driverPos18', 'driverExp', 'driverRac',\n", + "\t'driverPac')\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "xgbr = XGBRegressor(\n", + " objective=\"reg:linear\",\n", + " subsample=0.9,\n", + " reg_lambda=10,\n", + " reg_alpha=0,\n", + " n_estimators=50,\n", + " min_child_weight=200,\n", + " max_depth=5,\n", + " learning_rate=0.2,\n", + " gamma=0.75,\n", + " colsample_bytree=0.9,\n", + ")\n", + "scoring = make_scorer(balanced_accuracy_1interval_score)\n", + "model_selection(xgbr, X, y - 1, tscv, scoring)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## XGBRanker\n" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "PI: 0.528 with (0, 1, 2, 3, 4, 5, 6, 7, 8, 12, 14, 15, 18, 19, 20, 22, 23, 24, 27, 28,\n", + "\t32, 34, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55,\n", + "\t56, 57, 58, 60, 61, 62, 64) == ('carNumber', 'circuitDist', 'circuitLat',\n", + "\t'circuitLength', 'circuitLng', 'circuitLocation', 'constructorNationality',\n", + "\t'constructorRef', 'constructorWins', 'driverAgeAtRace', 'driverAgeStarted',\n", + "\t'driverAgeToday', 'driverAwa', 'driverExpRace', 'driverExpYear', 'driverNationality',\n", + "\t'driverNumber', 'driverPac', 'driverPodiums', 'driverPos10', 'driverPos11',\n", + "\t'driverPos12', 'driverPos13', 'driverPos14', 'driverPos15', 'driverPos16',\n", + "\t'driverPos17', 'driverPos18', 'driverPos2', 'driverPos3', 'driverPos4', 'driverPos5',\n", + "\t'driverPos6', 'driverPos7', 'driverPos8', 'driverPos9', 'driverRac', 'driverRef',\n", + "\t'positionGrid', 'q1', 'q2', 'qAvg', 'qMax', 'qid', 'raceRound', 'raceYear', 'weather',\n", + "\t'weatherDry', 'weatherWet')\n", + "SFS: 0.549 with (0, 1, 2, 3, 4, 6, 8, 10, 16, 17, 18, 19, 20, 24, 25, 27, 28, 29, 30,\n", + "\t32, 33, 34, 35, 36, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 54, 56, 58,\n", + "\t59, 61, 62, 64) == ('carNumber', 'positionGrid', 'driverRef', 'driverNumber',\n", + "\t'driverNationality', 'constructorNationality', 'raceRound', 'raceTime', 'circuitAlt',\n", + "\t'driverWins', 'constructorWins', 'q1', 'q2', 'weather', 'weatherWarm', 'weatherDry',\n", + "\t'weatherWet', 'weatherCloudy', 'circuitType', 'circuitLength', 'circuitLaps',\n", + "\t'circuitDist', 'qMin', 'qMax', 'driverAgeStarted', 'driverExpYear', 'driverExpRace',\n", + "\t'driverPodiums', 'driverPos2', 'driverPos3', 'driverPos4', 'driverPos5', 'driverPos6',\n", + "\t'driverPos7', 'driverPos8', 'driverPos9', 'driverPos10', 'driverPos11', 'driverPos14',\n", + "\t'driverPos16', 'driverPos18', 'driverExp', 'driverAwa', 'driverPac', 'qid')\n", + "GA: 0.532 with (0, 1, 2, 5, 7, 8, 11, 12, 13, 16, 17, 19, 21, 23, 25, 30, 31, 32, 36,\n", + "\t37, 40, 41, 42, 46, 47, 48, 52, 53, 54, 55, 57, 60, 61, 62, 64) == ('carNumber',\n", + "\t'positionGrid', 'driverRef', 'constructorRef', 'raceYear', 'raceRound', 'circuitRef',\n", + "\t'circuitLocation', 'circuitCountry', 'circuitAlt', 'driverWins', 'q1', 'q3',\n", + "\t'driverAgeAtRace', 'weatherWarm', 'circuitType', 'circuitDirection', 'circuitLength',\n", + "\t'qMax', 'qAvg', 'driverExpRace', 'driverPodiums', 'driverPos2', 'driverPos6',\n", + "\t'driverPos7', 'driverPos8', 'driverPos12', 'driverPos13', 'driverPos14', 'driverPos15',\n", + "\t'driverPos17', 'driverRac', 'driverAwa', 'driverPac', 'qid')\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "races_per_year = np.cumsum([0] + df.groupby(\"raceYear\")[\"raceRound\"].max().to_list())\n", + "set_id = lambda y, r: r + (races_per_year[y - 2006])\n", + "\n", + "X[\"qid\"] = df.apply(lambda x: set_id(x[\"raceYear\"], x[\"raceRound\"]), axis=1)\n", + "\n", + "xgbk = XGBRanker(\n", + " objective=\"rank:pairwise\",\n", + " subsample=0.75,\n", + " reg_lambda=3,\n", + " reg_alpha=3,\n", + " n_estimators=75,\n", + " min_child_weight=15,\n", + " max_depth=5,\n", + " learning_rate=0.1,\n", + " gamma=0.9,\n", + " colsample_bytree=0.9,\n", + ")\n", + "scoring = balanced_accuracy_1interval_ranker\n", + "model_selection(xgbk, X, y, tscv, scoring, rank=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Results\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Therefore, the selection for each algorithm are as follows\n", + "\n", + "- KNeighborsClassifier: 0.387 with ('positionGrid', 'driverRef', 'raceYear', 'raceRound', 'driverWins', 'constructorWins', 'driverAgeToday', 'weatherCold', 'weatherDry', 'weatherWet', 'circuitLaps', 'driverExpYear', 'driverExpRace', 'driverPos2', 'driverPos3', 'driverPos4', 'driverPos5', 'driverPos8', 'driverPos9', 'driverPos12', 'driverPos13', 'driverPos17', 'driverPos18', 'driverRac', 'driverPac')\n", + "- DecisionTreeClassifier: 0.402 with ('positionGrid', 'driverNationality', 'raceYear', 'grandPrix', 'raceTime', 'circuitRef', 'circuitLocation', 'circuitCountry', 'circuitLat', 'circuitLng', 'circuitAlt', 'constructorWins', 'q1', 'q2', 'q3', 'weather', 'weatherWarm', 'weatherCold', 'weatherDry', 'weatherWet', 'weatherCloudy', 'circuitType', 'circuitDirection', 'circuitLength', 'circuitLaps', 'circuitDist', 'qMin', 'qMax', 'qAvg', 'driverAgeStarted', 'driverPodiums', 'driverPos3', 'driverPos4', 'driverPos5', 'driverPos8', 'driverPos10', 'driverPos11', 'driverPos12', 'driverPos15', 'driverPos17', 'driverPos18', 'driverPac')\n", + "- RandomForestClassifier: 0.427 with ('positionGrid', 'constructorRef', 'raceYear', 'circuitCountry', 'driverWins', 'weatherDry', 'circuitType', 'qMax', 'driverExpYear', 'driverPos3', 'driverPos5', 'driverPos7', 'driverPos8', 'driverPos13')\n", + "- MLPClassifier: 0.431 with ('positionGrid', 'driverNumber', 'constructorNationality', 'circuitCountry', 'circuitLat', 'circuitLng', 'driverWins', 'weatherWarm', 'weatherCloudy', 'circuitLaps', 'qMin', 'driverPodiums', 'driverPos3', 'driverPos6', 'driverPos9', 'driverPos15', 'driverPos17', 'driverRac', 'driverAwa')\n", + "- XGBClassifier: 0.428 with ('carNumber', 'positionGrid', 'driverRef', 'driverNumber', 'constructorRef', 'constructorNationality', 'raceYear', 'raceRound', 'grandPrix', 'raceTime', 'circuitRef', 'circuitLat', 'circuitLng', 'circuitAlt', 'driverWins', 'constructorWins', 'q3', 'driverAgeAtRace', 'weatherWarm', 'weatherDry', 'circuitType', 'circuitDirection', 'circuitLength', 'qMin', 'qMax', 'qAvg', 'driverPodiums', 'driverPos2', 'driverPos5', 'driverPos7', 'driverPos8', 'driverPos9', 'driverPos10', 'driverPos15', 'driverPos17', 'driverExp', 'driverRac', 'driverOvr')\n", + "- XGBRegressor: 0.409 with ('positionGrid', 'driverRef', 'weatherWet', 'circuitType', 'driverPodiums', 'driverPos2', 'driverPos3', 'driverPos5', 'driverPos6', 'driverPos7', 'driverPos8', 'driverPos10', 'driverPos12', 'driverPos14', 'driverPos15', 'driverPos17', 'driverPac', 'driverOvr')\n", + "- XGBRanker: 0.549 with ('carNumber', 'positionGrid', 'driverRef', 'driverNumber', 'driverNationality', 'constructorNationality', 'raceRound', 'raceTime', 'circuitAlt', 'driverWins', 'constructorWins', 'q1', 'q2', 'weather', 'weatherWarm', 'weatherDry', 'weatherWet', 'weatherCloudy', 'circuitType', 'circuitLength', 'circuitLaps', 'circuitDist', 'qMin', 'qMax', 'driverAgeStarted', 'driverExpYear', 'driverExpRace', 'driverPodiums', 'driverPos2', 'driverPos3', 'driverPos4', 'driverPos5', 'driverPos6', 'driverPos7', 'driverPos8', 'driverPos9', 'driverPos10', 'driverPos11', 'driverPos14', 'driverPos16', 'driverPos18', 'driverExp', 'driverAwa', 'driverPac', 'qid')\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.11" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/f1_prediction/final_model/model_validation.ipynb b/f1_prediction/final_model/model_validation.ipynb new file mode 100644 index 0000000..993e5d3 --- /dev/null +++ b/f1_prediction/final_model/model_validation.ipynb @@ -0,0 +1,172 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Model validation\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Dependencies\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The dependencies used are as follows\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.preprocessing import LabelEncoder, RobustScaler\n", + "\n", + "import pandas as pd\n", + "\n", + "pd.set_option(\"display.max_columns\", None)\n", + "pd.set_option(\"display.max_rows\", None)\n", + "\n", + "import warnings\n", + "\n", + "warnings.simplefilter(\"ignore\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Improvements\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "For the final model we will combine everything previously done in a single model. Specifically:\n", + "\n", + "- All new added data,\n", + "- the manual outlier treatment, and\n", + "- all the models used, including the last 3 related to XGBoost\n", + "\n", + "For this, we will start from the data in adding_data.csv and remove the outliers again. Note that the \"qid\" column will always be created prior to the ranker model, because if we create it before normalizing it will give problems in that model and if we create it after normalizing it will affect other models such as KNN and MLP.\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Outliers manual treatment\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We will only replicate what was done in the previous section related to outliers.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "df = pd.read_csv(\"../assets/data/processed/adding_data.csv\")\n", + "df = df[df[\"positionFinal\"] <= 20]\n", + "df = df[(df[\"driverStatus\"] == \"Finished\") | (df[\"driverStatus\"].str.contains(\"Lap\"))]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Encoding and normalization\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now we proceed to re-encode and re-normalize.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "X = df.drop(\n", + " [\n", + " \"positionFinal\",\n", + " \"pointsDriverEarned\",\n", + " \"lapsCompleted\",\n", + " \"timeTakenInMillisec\",\n", + " \"fastestLap\",\n", + " \"fastestLapRank\",\n", + " \"fastestLapTime\",\n", + " \"maxSpeed\",\n", + " \"driverStatus\",\n", + " \"pointsConstructorEarned\",\n", + " \"constructorPosition\",\n", + " ],\n", + " axis=1,\n", + ")\n", + "\n", + "enc = LabelEncoder()\n", + "for c in X.columns:\n", + " if X[c].dtype == \"object\":\n", + " X[c] = enc.fit_transform(X[c])\n", + "\n", + "scaler = RobustScaler()\n", + "X = pd.DataFrame(scaler.fit_transform(X), index=X.index, columns=X.columns)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Finally, we write down the results for later sections\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "df.to_csv(\"../assets/data/processed/final_model.csv\", index=False)\n", + "X.to_csv(\"../assets/data/processed/final_model_X.csv\", index=False)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.11" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/f1_prediction/final_model/model_validation_pdm.ipynb b/f1_prediction/final_model/model_validation_pdm.ipynb new file mode 100644 index 0000000..7fe8f01 --- /dev/null +++ b/f1_prediction/final_model/model_validation_pdm.ipynb @@ -0,0 +1,547 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Is podium\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Dependencies\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The dependencies used are as follows\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.neighbors import KNeighborsClassifier\n", + "from sklearn.tree import DecisionTreeClassifier\n", + "from sklearn.ensemble import RandomForestClassifier\n", + "from sklearn.neural_network import MLPClassifier\n", + "\n", + "from xgboost import XGBClassifier, XGBRegressor, XGBRanker\n", + "\n", + "import sys\n", + "\n", + "sys.path.append(\"..\")\n", + "\n", + "from utils.custom_cvs import VariableTimeSeriesSplit\n", + "from utils.visualization import model_test\n", + "from utils.custom_scorers import balanced_accuracy_ranker, mean_absolute_ranker\n", + "\n", + "import pandas as pd\n", + "import numpy as np\n", + "\n", + "pd.set_option(\"display.max_columns\", None)\n", + "pd.set_option(\"display.max_rows\", None)\n", + "\n", + "import warnings\n", + "\n", + "warnings.simplefilter(\"ignore\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Initialization\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We continue with the validation of the model that predicts the podium\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "df = pd.read_csv(\"../assets/data/processed/final_model.csv\")\n", + "\n", + "mid_rc = df.groupby(\"raceYear\")[\"raceRound\"].max().to_numpy() // 2\n", + "get_half = lambda x: f'{x[\"raceYear\"]}{x[\"raceRound\"] <= mid_rc[x[\"raceYear\"] - 2006]}'\n", + "instances_per_half = df.apply(get_half, axis=1).value_counts(sort=False).to_numpy()\n", + "\n", + "n_splits = len(instances_per_half) - 10\n", + "max_train_size = [instances_per_half[i : 10 + i].sum() for i in range(n_splits)]\n", + "test_size = instances_per_half[10:].tolist()\n", + "tscv = VariableTimeSeriesSplit(\n", + " n_splits=n_splits, max_train_size=max_train_size, test_size=test_size\n", + ")\n", + "\n", + "scorers_ranker = [\n", + " balanced_accuracy_ranker,\n", + " mean_absolute_ranker,\n", + "]\n", + "\n", + "labels = np.array([\"not_podium\", \"podium\"])\n", + "podiums = df[df[\"positionFinal\"].isin([1, 2, 3])][\n", + " [\"raceYear\", \"raceRound\", \"driverRef\"]\n", + "]\n", + "podiums = podiums.groupby(by=[\"raceYear\", \"raceRound\"]).agg({\"driverRef\": \",\".join})\n", + "\n", + "X = pd.read_csv(\"../assets/data/processed/final_model_X.csv\")\n", + "y = df.merge(podiums, how=\"left\", on=[\"raceYear\", \"raceRound\"], suffixes=(\"\", \"Podium\"))\n", + "y = y.apply(lambda x: int(x[\"driverRef\"] in x[\"driverRefPodium\"]), axis=1)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## K-Nearest Neighbors\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "KNeighborsClassifier(metric='cosine', n_neighbors=62, weights='distance'):\n", + "CV with make_scorer(balanced_accuracy_score): 0.7598422200293372\n", + "CV with neg_mean_absolute_error: -0.12862397219077254\n", + " precision recall f1-score support\n", + "\n", + " not_podium 0.92 0.93 0.92 3559\n", + " podium 0.65 0.60 0.62 756\n", + "\n", + " accuracy 0.87 4315\n", + " macro avg 0.78 0.76 0.77 4315\n", + "weighted avg 0.87 0.87 0.87 4315\n", + "\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "knn = KNeighborsClassifier(n_neighbors=62, metric=\"cosine\", weights=\"distance\")\n", + "model_test((knn,), X, y, tscv, labels=labels)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Decision Tree\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "DecisionTreeClassifier(criterion='entropy', max_depth=4):\n", + "CV with make_scorer(balanced_accuracy_score): 0.7867866092540647\n", + "CV with neg_mean_absolute_error: -0.11788112758628581\n", + " precision recall f1-score support\n", + "\n", + " not_podium 0.93 0.93 0.93 3559\n", + " podium 0.67 0.66 0.67 756\n", + "\n", + " accuracy 0.88 4315\n", + " macro avg 0.80 0.79 0.80 4315\n", + "weighted avg 0.88 0.88 0.88 4315\n", + "\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "tree = DecisionTreeClassifier(max_depth=4, criterion=\"entropy\", splitter=\"best\")\n", + "model_test((tree,), X, y, tscv, labels=labels)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Random Forest\n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "RandomForestClassifier(max_depth=10, n_estimators=355):\n", + "CV with make_scorer(balanced_accuracy_score): 0.7977721077108655\n", + "CV with neg_mean_absolute_error: -0.10382764541997742\n", + " precision recall f1-score support\n", + "\n", + " not_podium 0.93 0.95 0.94 3559\n", + " podium 0.73 0.65 0.69 756\n", + "\n", + " accuracy 0.90 4315\n", + " macro avg 0.83 0.80 0.81 4315\n", + "weighted avg 0.89 0.90 0.89 4315\n", + "\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "random_forest = RandomForestClassifier(n_estimators=355, max_depth=10, criterion=\"gini\")\n", + "model_test((random_forest,), X, y, tscv, labels=labels)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Multilayer Perceptron\n" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "MLPClassifier(activation='logistic',\n", + " hidden_layer_sizes=(83, 40, 53, 88, 85, 68)):\n", + "CV with make_scorer(balanced_accuracy_score): 0.8221898068734821\n", + "CV with neg_mean_absolute_error: -0.14464304260011313\n", + " precision recall f1-score support\n", + "\n", + " not_podium 0.95 0.87 0.91 3559\n", + " podium 0.56 0.78 0.65 756\n", + "\n", + " accuracy 0.85 4315\n", + " macro avg 0.76 0.83 0.78 4315\n", + "weighted avg 0.88 0.85 0.86 4315\n", + "\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "nn = MLPClassifier(hidden_layer_sizes=(83, 40, 53, 88, 85, 68), activation=\"logistic\")\n", + "model_test((nn,), X, y, tscv, labels=labels)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## XGBClassifier\n" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "XGBClassifier(base_score=None, booster=None, callbacks=None,\n", + " colsample_bylevel=None, colsample_bynode=None,\n", + " colsample_bytree=0.75, device=None, early_stopping_rounds=None,\n", + " enable_categorical=False, eval_metric=None, feature_types=None,\n", + " gamma=0, grow_policy=None, importance_type=None,\n", + " interaction_constraints=None, learning_rate=0.1, max_bin=None,\n", + " max_cat_threshold=None, max_cat_to_onehot=None,\n", + " max_delta_step=None, max_depth=3, max_leaves=None,\n", + " min_child_weight=1, missing=nan, monotone_constraints=None,\n", + " multi_strategy=None, n_estimators=75, n_jobs=None,\n", + " num_parallel_tree=None, random_state=None, ...):\n", + "CV with make_scorer(balanced_accuracy_score): 0.8076836079330991\n", + "CV with neg_mean_absolute_error: -0.0993533376767532\n", + " precision recall f1-score support\n", + "\n", + " not_podium 0.93 0.95 0.94 3559\n", + " podium 0.74 0.67 0.70 756\n", + "\n", + " accuracy 0.90 4315\n", + " macro avg 0.83 0.81 0.82 4315\n", + "weighted avg 0.90 0.90 0.90 4315\n", + "\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "model = XGBClassifier(\n", + " objective=\"binary:logistic\",\n", + " learning_rate=0.1,\n", + " n_estimators=75,\n", + " max_depth=3,\n", + " min_child_weight=1,\n", + " gamma=0,\n", + " subsample=0.75,\n", + " colsample_bytree=0.75,\n", + " reg_alpha=2,\n", + " reg_lambda=2,\n", + ")\n", + "model_test((model,), X, y, tscv, labels=labels)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## XGBRegressor\n" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "XGBRegressor(base_score=None, booster=None, callbacks=None,\n", + " colsample_bylevel=None, colsample_bynode=None,\n", + " colsample_bytree=0.75, device=None, early_stopping_rounds=None,\n", + " enable_categorical=False, eval_metric=None, feature_types=None,\n", + " gamma=0, grow_policy=None, importance_type=None,\n", + " interaction_constraints=None, learning_rate=0.1, max_bin=None,\n", + " max_cat_threshold=None, max_cat_to_onehot=None,\n", + " max_delta_step=None, max_depth=3, max_leaves=None,\n", + " min_child_weight=1, missing=nan, monotone_constraints=None,\n", + " multi_strategy=None, n_estimators=75, n_jobs=None,\n", + " num_parallel_tree=None, objective='reg:linear', ...):" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "CV with make_scorer(balanced_accuracy_score): 0.8025572683475668\n", + "CV with neg_mean_absolute_error: -0.14848410933769876\n", + " precision recall f1-score support\n", + "\n", + " not_podium 0.93 0.95 0.94 3559\n", + " podium 0.74 0.65 0.69 756\n", + "\n", + " accuracy 0.90 4315\n", + " macro avg 0.83 0.80 0.82 4315\n", + "weighted avg 0.90 0.90 0.90 4315\n", + "\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "model = XGBRegressor(\n", + " objective=\"reg:linear\",\n", + " learning_rate=0.1,\n", + " n_estimators=75,\n", + " max_depth=3,\n", + " min_child_weight=1,\n", + " gamma=0,\n", + " subsample=0.75,\n", + " colsample_bytree=0.75,\n", + " reg_alpha=2,\n", + " reg_lambda=2,\n", + ")\n", + "model_test((model,), X, y, tscv, labels=labels)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## XGBRanker\n" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "XGBRanker(base_score=None, booster=None, callbacks=None, colsample_bylevel=None,\n", + " colsample_bynode=None, colsample_bytree=0.75, device=None,\n", + " early_stopping_rounds=None, enable_categorical=False,\n", + " eval_metric=None, feature_types=None, gamma=0, grow_policy=None,\n", + " importance_type=None, interaction_constraints=None, learning_rate=0.1,\n", + " max_bin=None, max_cat_threshold=None, max_cat_to_onehot=None,\n", + " max_delta_step=None, max_depth=3, max_leaves=None, min_child_weight=1,\n", + " missing=nan, monotone_constraints=None, multi_strategy=None,\n", + " n_estimators=75, n_jobs=None, num_parallel_tree=None,\n", + " objective='rank:pairwise', ...):\n", + "CV with balanced_accuracy_ranker: 0.8281581004922944\n", + "CV with mean_absolute_ranker: -0.099208309535747\n", + " precision recall f1-score support\n", + "\n", + " not_podium 0.94 0.94 0.94 3559\n", + " podium 0.72 0.72 0.72 756\n", + "\n", + " accuracy 0.90 4315\n", + " macro avg 0.83 0.83 0.83 4315\n", + "weighted avg 0.90 0.90 0.90 4315\n", + "\n" + ] + }, + { + "data": { + "image/png": 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rV6WkpGjVqlUOx0V2BAAAAIekpqbaHenp6Td9TnZ2thYvXqzLly8rOjpaO3fuVGZmplq1amUbU7VqVZUtW1bbtm2TJG3btk21atWyJcKSFBMTo9TUVFt1edu2bXZz5I7JncNRJMMAAAAmY5WXsp145G7TFhkZqZCQENsxderU68bwww8/KDAwUH5+furXr5+WLFmi6tWrKykpSb6+vgoNDbUbHxYWpqSkJElSUlKSXSKcez332o3GpKam6urVqw5/VuwmAQAAAIccP37crk3Cz8/vumOrVKmiPXv26MKFC/rf//6nXr16aePGjbcizHwhGQYAADAZ59+BLmeJWe7uEI7w9fVV5cqVJUn16tXTd999p1dffVWPPfaYMjIylJKSYlcdPn36tMLDwyVJ4eHh+vbbb+3my91t4o9j/rwDxenTpxUcHKyAgACH3xttEgAAACZj/f/WBmcefzsmq1Xp6emqV6+eChUqpLVr19quJSQk6NixY4qOjpYkRUdH64cfftCZM2dsY+Lj4xUcHKzq1avbxvxxjtwxuXM4isowAAAAnOr5559X27ZtVbZsWV28eFGLFi3Shg0btHr1aoWEhKhPnz4aNmyYihUrpuDgYA0cOFDR0dFq1KiRJKl169aqXr26evTooWnTpikpKUljxozRgAEDbK0Z/fr105w5czRq1Cg99dRTWrdunT7++GOtWLEiX7GSDAMAAJhMtmFRtuHEO9Dlc64zZ86oZ8+eSkxMVEhIiKKiorR69Wrdf//9kqSZM2fKy8tLXbp0UXp6umJiYvTGG2/Ynu/t7a3ly5erf//+io6OVpEiRdSrVy9NmjTJNqZChQpasWKFhg4dqldffVVlypTR/PnzFRMTk69Y2WfY5NhnGLg12GcYKHjsM3xzub/3/7u7lgo7cZ/hKxez1aPuD6b87KkMAwAAmEzulmjOm8+8tVNKhQAAAPBYVIYBAABMxmp4yerErdWsJu6qJRkGAAAwGdokHEebBAAAADwWlWEAAACTsSr/26HdbD6zojIMAAAAj0VlGAAAwGScdQvlP85nViTDAAAAJpNteCnbibtJOHMud2PedwYAAADcBJVhAAAAk7HKIqucuYDOeXO5GyrDAAAA8FhUhgEAAEyGnmHHkQwDAACYjPPvQGfeZNi87wwAAAC4CSrDAAAAJmM1LLI68w50TpzL3VAZBgAAgMeiMgwAAGAyVif3DJv5DnTmfWcAAADATVAZBgAAMBmr4SWrE7dDc+Zc7oZkGAAAwGSyZVG2E+8a58y53I1503wAAADgJqgMAwAAmAxtEo4z7zsDAAAAboLKMAAAgMlky7l9vtlOm8n9kAwDAACYDG0SjjPvOwMAAABugsowAACAyWQbXsp2YjXXmXO5G/O+MwAAAOAmqAwDAACYjCGLrE5cQGdw0w0AAADAfKgMAwAAmAw9w44jGQYAADAZq2GR1XBea4Mz53I35k3zAQAAgJugMgwAAGAy2fJSthNrns6cy92Y950BAAAAN0FlGAAAwGToGXYcyTAAAIDJWOUlqxMbAJw5l7sx7zsDAAAAboLKMAAAgMlkGxZlO7G1wZlzuRsqwwAAAPBYVIYBAABMhgV0jiMZBgAAMBnD8JLVibdQNkx8O2bzvjMAAADgJqgMAwAAmEy2LMqWExfQOXEud0NlGAAAAB6LyjAAAIDJWA3nLnqzGk6byu1QGQYAAIDHojIMFIBl7xfXigUldPq4rySpXJU0dRuapAYtLkqSXh1VRrs3B+nc6UIKKGxVtfqX1effp1T2zvQ8c6Ume6v//VX0W6KvPj3wgwJDsiVJe7cGatTDlfOM/3DPPhUrlVWA7w5wT4/FnlbjdhcUWTldGWle+nFHYb3zYmmdOOxvG9O22zk1f+i8Kte6qiJBVnWuWlOXU72vOV8hX6teXfGzKtVIU//779KR/QG36q0Af5vVybtJOHMud0My7CS9e/dWSkqKli5dKklq1qyZ6tSpo1mzZrk0LrhGydKZeupfp3RHhXQZhkXxnxTVhCcr6PWvflL5Kmm6M+qqWnQ+r5J3ZOrieW99MD1c/3q8kt7f/qO8//R7ecbwsqpQLU2/Jfpe87Xe2XxAhYOybY9DS5AIwzNFRV/WsrgS+mlPYXn7GOr9XKKmfHhET99XRelXc36w/AOs2rEhSDs2BKnPv5JuOF+fMYk6l1RIlWqk3YrwAaeyyiKrExe9OXMud3NbJ8MTJkzQ0qVLtWfPHleHksdnn32mQoUKuToMuEij1ql2j598LknLF5TQwZ2FVb5Kmtp1P2e7Fh4p9RqdqP6tqur0cV9FlM+wXVv2fnFdTvVWt6FJ+m5d8DVfK7RElq1aDHiyf3eraPd4+pCy+njfft0ZdVX7tgdKkpbMLylJioq+dMO56jdPVb37Lmpy3/L6R8uEggkYgFu4rZNhd1asWDFXhwA3kZ0tbV4WqvQrXqpW/3Ke62lXvPTVR8UUXjZdJSMybed//clPi2aG69XlPynxmN9153/2/irKzLCoXJU09RiepBr/yPsagCcqEpzzJfFiyrXbIK4ntESmhrx8QhOfKq/0q+b90zDMLduwKNuJC+icOZe7celPebNmzTRo0CCNGjVKxYoVU3h4uCZMmGC7fuzYMXXs2FGBgYEKDg7Wo48+qtOnT0uS4uLiNHHiRO3du1cWi0UWi0VxcXE3fU2LxaK5c+eqbdu2CggIUMWKFfW///3PbswPP/ygFi1aKCAgQMWLF9czzzyjS5d+ryJkZ2dr2LBhCg0NVfHixTVq1CgZhv0yy2bNmmnIkCF2r5vbQpErNDTUFvMvv/wii8Wijz/+WE2aNFFAQIAaNGign376Sd99953q16+vwMBAtW3bVmfPnr35hwuXO3rAXx0r19ID5Wtr9nORGvfOUZW76/ee4GVxxdWxci11rByl79YFa+riwyrkm/P/o4x0i6Y+W159x55SqTKZ15y/WKlMDfrPcY2df1Rj3j6qkhEZGvlwZf38PX2NgMViqN/Ek9r3bWH9mpCfnwlDI2Yd14r/FtfP3xcusPgAuA+Xf+V9//33VaRIEW3fvl3Tpk3TpEmTFB8fL6vVqo4dOyo5OVkbN25UfHy8jhw5oscee0yS9Nhjj2n48OGqUaOGEhMTlZiYaLt2M2PHjlWXLl20d+9edevWTV27dtWBAwckSZcvX1ZMTIyKFi2q7777Tp988onWrFmj2NhY2/OnT5+uuLg4vfvuu9qyZYuSk5O1ZMkSp3we48eP15gxY7Rr1y75+PjoiSee0KhRo/Tqq69q8+bNOnTokMaNG3fd56enpys1NdXugGuUqZSuN+ITNHvFT3qg5296ZXA5/frT7xXeFp3P642vEvTKZz+rTMV0vfjP8spIy/nm/d7U0ipbOU0tu5y/7vyRldPVvsc53Rl1VTUaXNHwmcdVvf5lLXm7ZIG/N8DdxU45qXJV0zS1f7l8Pa9jn98UEJitj14rVUCRAbdG7gI6Zx5m5fI2iaioKI0fP16SdOedd2rOnDlau3atpJwK7dGjRxUZGSlJWrBggWrUqKHvvvtODRo0UGBgoHx8fBQeHp6v13zkkUfUt29fSdLkyZMVHx+v1157TW+88YYWLVqktLQ0LViwQEWKFJEkzZkzRw8++KD+85//KCwsTLNmzdLzzz+vzp07S5LmzZun1atXO+XzGDFihGJiYiRJgwcP1uOPP661a9eqcePGkqQ+ffrcsAI+depUTZw40Smx4O8p5Gvojgo5/b93Rl1Vwp7CWjq/pAZPOyFJKhJsVZHgDN1RMUNV7/5FXarV1NcrQ9T8oRTt2RKkXw76q21kaM5k//+Hh0dq1tTjg06r58hrL/ypUueK9n9XpKDfGuDWBrx4Qg3vT9Xwhypdd+Hp9dRpfEnV6l3R8l++tzs/Z+VPWvdZUb0ypKwzQwUKjFUW5+4zzAK6ghMVFWX3uHTp0jpz5owOHDigyMhIWyIsSdWrV1doaKgOHDigBg0a/OXXjI6OzvM4dxHegQMHVLt2bVsiLEmNGzeW1WpVQkKC/P39lZiYqIYNG9qu+/j4qH79+nlaJf6KP34eYWFhkqRatWrZnTtz5sx1n//8889r2LBhtsepqal2nyFcxzCkzIxrf7M2DEmGxXZ97Pyjykj7fWzCnsKaMayspi/52W6B3Z8d3h+gYqWu3VYBmJ+hAS+e1D1tLmjkw5V1+vj1e+2v542xdyjuP78XWIqHZ2nqh0c0pV85HdxN2wRgRi5Phv+844LFYpHVanVRNAXHYrHkSZYzM/MmLX/8PCwWyzXP3ejz8fPzk59f/n8BwLnenVJaDVqkquQdmbp6yUvrlxTV91sD9eKiw0r81VcbvwhVvfsuKqRYls4mFtLHc8LkG2DVP1rmtLX8OeG9kJzzo1r2znTbzhGfvV1S4ZHpKlclTZnpXlq5qLj2fh2oKR8evrVvFnATsVNOqvlD5zXhyQq6eslLRUvm/Df28kVv25fLoiUzVbRUliIq5PTvV6h6VVcue+vsyUK6mOKjsyftK8lpl3N+Fk/96pfvKjPgSoaTt1YzqAzfetWqVdPx48d1/PhxW2Xzxx9/VEpKiqpXry5J8vX1VXZ2/reU+uabb9SzZ0+7x3Xr1rW9blxcnC5fvmyrDn/99dfy8vJSlSpVFBISotKlS2v79u1q2rSpJCkrK0s7d+7U3Xfffd3XLFmypBITE22Pf/75Z125ciXfseP2kPKbj14eVE7JZ3xUOChbFaql6cVFh1Xvvks6l+SjfdsDteTtkrp0wVuhJbJUq9Elzfz853ztEZyVYdFbk+7QuaRC8guwqkK1q5r60WHVaXzjLaMAs3qwd86Wha98Zv+F8JUhkYr/OGeHn/Y9z6nH8NO2a9OXHs4zBoBncdtkuFWrVqpVq5a6deumWbNmKSsrS88++6zuu+8+1a9fX5JUvnx5HT16VHv27FGZMmUUFBTkUFX0k08+Uf369XXvvfdq4cKF+vbbb/XOO+9Ikrp166bx48erV69emjBhgs6ePauBAweqR48etraFwYMH66WXXtKdd96pqlWrasaMGUpJSbnha7Zo0UJz5sxRdHS0srOzNXr0aPYhNrFhM45f91rx8Cy98MGRfM1X+55LWn1qj925Rwec0aMDrt8yA3iamIjaNx3zwfRwfTDd8XUmp0/4OjQv4G6shpN7htla7dazWCz6/PPPVbRoUTVt2lStWrVSxYoV9dFHH9nGdOnSRW3atFHz5s1VsmRJffjhhw7NPXHiRC1evFhRUVFasGCBPvzwQ1u1uXDhwlq9erWSk5PVoEEDPfzww2rZsqXmzJlje/7w4cPVo0cP9erVS9HR0QoKCtJDDz10w9ecPn26IiMj1aRJEz3xxBMaMWKEChem/wwAAJjP1KlT1aBBAwUFBalUqVLq1KmTEhLsb2DTrFkz2/a4uUe/fv3sxhw7dkzt27dX4cKFVapUKY0cOVJZWfZ/Rd2wYYPuvvtu+fn5qXLlyg5ttftHFsMZq75uIxaLRUuWLFGnTp1cHcotkZqaqpCQEJ3/qaKCg9z2uw9w24uJqOPqEADTyzIytUGf68KFCwoOvvZdOT1d7u/9h+KfVKEizutzz7ycoSX3v+fwZ9+mTRt17dpVDRo0UFZWlv71r39p3759+vHHH21tqM2aNdNdd92lSZMm2Z5XuHBh2/zZ2dmqU6eOwsPD9fLLLysxMVE9e/bU008/rSlTpkiSjh49qpo1a6pfv37q27ev1q5dqyFDhmjFihW23bluxm3bJAAAAPDXuLpNYtWqVXaP4+LiVKpUKe3cudO25krKSX6vt0XuV199pR9//FFr1qxRWFiY6tSpo8mTJ2v06NGaMGGCfH19NW/ePFWoUEHTp0+XlLP2a8uWLZo5c6bDybCpSoULFy5UYGDgNY8aNWq4OjwAAIDb2p9v7JWenn7zJ0m6cOGCJKlYMfuFqgsXLlSJEiVUs2ZNPf/883abC2zbtk21atWyrdmSpJiYGKWmpmr//v22Ma1atbKbMyYmRtu2bXP4PZmqMtyhQwe7/X//KHexmod1hQAAAA9kdfLWarlz/fneBePHj9eECRNu/FyrVUOGDFHjxo1Vs2ZN2/knnnhC5cqVU0REhL7//nuNHj1aCQkJ+uyzzyRJSUlJdomw9Ps9GJKSkm44JjU1VVevXlVAwM1vx26qZDgoKEhBQUGuDgMAAMCUjh8/btcz7MguXgMGDNC+ffu0ZcsWu/PPPPOM7d+1atVS6dKl1bJlSx0+fFiVKlVyXtA3Yao2CQAAAPzeM+zMQ5KCg4Ptjpslw7GxsVq+fLnWr1+vMmXK3HBs7l/3Dx06JEkKDw/X6dOn7cbkPs7tM77emODgYIeqwhLJMAAAgOkUVDLsKMMwFBsbqyVLlmjdunWqUKHCTZ+zZ88eSVLp0qUlSdHR0frhhx905szve+rHx8crODjYtiVudHS01q5dazdPfHy8oqOjHY6VZBgAAABONWDAAH3wwQdatGiRgoKClJSUpKSkJF29elWSdPjwYU2ePFk7d+7UL7/8oi+++EI9e/ZU06ZNFRUVJUlq3bq1qlevrh49emjv3r1avXq1xowZowEDBtgq0v369dORI0c0atQoHTx4UG+88YY+/vhjDR061OFYSYYBAABMxtWV4blz5+rChQtq1qyZSpcubTtyb57m6+urNWvWqHXr1qpataqGDx+uLl26aNmyZbY5vL29tXz5cnl7eys6Olrdu3dXz5497fYlrlChglasWKH4+HjVrl1b06dP1/z58x3eVk0y2QI6AAAAuN7Ndu+KjIzUxo0bbzpPuXLl9OWXX95wTLNmzbR79+58xfdHJMMAAAAm4+qbbtxOSIYBAABMxpCcus+wme/SQM8wAAAAPBaVYQAAAJOhTcJxVIYBAADgsagMAwAAmAyVYcdRGQYAAIDHojIMAABgMlSGHUcyDAAAYDIkw46jTQIAAAAei8owAACAyRiGRYYTq7nOnMvdUBkGAACAx6IyDAAAYDJWWZx6O2ZnzuVuSIYBAABMhgV0jqNNAgAAAB6LyjAAAIDJsIDOcVSGAQAA4LGoDAMAAJgMPcOOIxkGAAAwGdokHEebBAAAADwWlWEAAACTMZzcJkFlGAAAADAhKsMAAAAmY0gyDOfOZ1ZUhgEAAOCxqAwDAACYjFUWWeTErdWcOJe7IRkGAAAwGbZWcxxtEgAAAPBYVIYBAABMxmpYZOEOdA6hMgwAAACPRWUYAADAZAzDyVurmXhvNZJhAAAAk2EBneNokwAAAIDHojIMAABgMlSGHUdlGAAAAB6LyjAAAIDJsLWa46gMAwAAwGNRGQYAADAZtlZzHMkwAACAyeQkw85cQOe0qdwObRIAAADwWFSGAQAATIat1RxHZRgAAAAei8owAACAyRj/fzhzPrMiGQYAADAZ2iQcR5sEAAAAPBaVYQAAALOhT8JhVIYBAADgsagMAwAAmI2Te4Zl4p5hkmEAAACT4XbMjqNNAgAAAB6LyjAAAIDJsLWa46gMAwAAwGNRGQYAADAbw+LcRW9UhgEAAADzoTIMAABgMuwm4TiSYQAAALPhDnQOo00CAAAAHovKMAAAgMmwtZrjqAwDAADAY5EMAwAAmJHhxCOfpk6dqgYNGigoKEilSpVSp06dlJCQYDcmLS1NAwYMUPHixRUYGKguXbro9OnTdmOOHTum9u3bq3DhwipVqpRGjhyprKwsuzEbNmzQ3XffLT8/P1WuXFlxcXH5ipVkGAAAwGRy2ySceeTHxo0bNWDAAH3zzTeKj49XZmamWrdurcuXL9vGDB06VMuWLdMnn3yijRs36tSpU+rcubPtenZ2ttq3b6+MjAxt3bpV77//vuLi4jRu3DjbmKNHj6p9+/Zq3ry59uzZoyFDhqhv375avXq1w7FaDMPMm2UgNTVVISEhOv9TRQUH8d0HKCgxEXVcHQJgellGpjboc124cEHBwcGuDsct5f7ej3xzvLwC/J02r/Vqmo7/c+Jf/uzPnj2rUqVKaePGjWratKkuXLigkiVLatGiRXr44YclSQcPHlS1atW0bds2NWrUSCtXrtQDDzygU6dOKSwsTJI0b948jR49WmfPnpWvr69Gjx6tFStWaN++fbbX6tq1q1JSUrRq1SqHYnNoAd0XX3zh8Jvt0KGDw2MBAABQANxsa7ULFy5IkooVKyZJ2rlzpzIzM9WqVSvbmKpVq6ps2bK2ZHjbtm2qVauWLRGWpJiYGPXv31/79+9X3bp1tW3bNrs5cscMGTLE4dgcSoY7derk0GQWi0XZ2dkOvzgAAABuH6mpqXaP/fz85Ofnd8PnWK1WDRkyRI0bN1bNmjUlSUlJSfL19VVoaKjd2LCwMCUlJdnG/DERzr2ee+1GY1JTU3X16lUFBATc9D059Hdzq9Xq0EEiDAAA4A4sBXBIkZGRCgkJsR1Tp069aSQDBgzQvn37tHjxYme+Qaf5W/sMp6Wlyd/fef0oAAAAcIICapM4fvy4Xc/wzarCsbGxWr58uTZt2qQyZcrYzoeHhysjI0MpKSl21eHTp08rPDzcNubbb7+1my93t4k/jvnzDhSnT59WcHCwQ1Vh6S/sJpGdna3JkyfrjjvuUGBgoI4cOSJJGjt2rN555538TgcAAIDbRHBwsN1xvWTYMAzFxsZqyZIlWrdunSpUqGB3vV69eipUqJDWrl1rO5eQkKBjx44pOjpakhQdHa0ffvhBZ86csY2Jj49XcHCwqlevbhvzxzlyx+TO4Yh8J8Mvvvii4uLiNG3aNPn6+trO16xZU/Pnz8/vdAAAAHA2Z+4x/BeqzAMGDNAHH3ygRYsWKSgoSElJSUpKStLVq1clSSEhIerTp4+GDRum9evXa+fOnXryyScVHR2tRo0aSZJat26t6tWrq0ePHtq7d69Wr16tMWPGaMCAAbYkvF+/fjpy5IhGjRqlgwcP6o033tDHH3+soUOHOhxrvpPhBQsW6K233lK3bt3k7e1tO1+7dm0dPHgwv9MBAADAZObOnasLFy6oWbNmKl26tO346KOPbGNmzpypBx54QF26dFHTpk0VHh6uzz77zHbd29tby5cvl7e3t6Kjo9W9e3f17NlTkyZNso2pUKGCVqxYofj4eNWuXVvTp0/X/PnzFRMT43Cs+e4ZPnnypCpXrpznvNVqVWZmZn6nAwAAgLMZlpzDmfPlZ7gDt7Hw9/fX66+/rtdff/26Y8qVK6cvv/zyhvM0a9ZMu3fvzld8f5TvynD16tW1efPmPOf/97//qW7dun85EAAAAOBWy3dleNy4cerVq5dOnjwpq9Wqzz77TAkJCVqwYIGWL19eEDECAAAgHwwj53DmfGaV78pwx44dtWzZMq1Zs0ZFihTRuHHjdODAAS1btkz3339/QcQIAACA/HDxArrbyV/aZ7hJkyaKj493diwAAADALfWXb7qxY8cOHThwQFJOH3G9evWcFhQAAAD+BhcvoLud5DsZPnHihB5//HF9/fXXtjuGpKSk6J577tHixYvt7i4CAAAAuLN89wz37dtXmZmZOnDggJKTk5WcnKwDBw7IarWqb9++BREjAAAA8sFiOP8wq3xXhjdu3KitW7eqSpUqtnNVqlTRa6+9piZNmjg1OAAAAPwFzl70ZuJkON+V4cjIyGveXCM7O1sRERFOCQoAAAC4FfKdDL/88ssaOHCgduzYYTu3Y8cODR48WK+88opTgwMAAMBfkLuAzpmHSTnUJlG0aFFZLL9/CJcvX1bDhg3l45Pz9KysLPn4+Oipp55Sp06dCiRQAAAAwNkcSoZnzZpVwGEAAADAaegZdphDyXCvXr0KOg4AAADglvvLN92QpLS0NGVkZNidCw4O/lsBAQAA4G+iMuywfC+gu3z5smJjY1WqVCkVKVJERYsWtTsAAADgYkYBHCaV72R41KhRWrdunebOnSs/Pz/Nnz9fEydOVEREhBYsWFAQMQIAAAAFIt9tEsuWLdOCBQvUrFkzPfnkk2rSpIkqV66scuXKaeHCherWrVtBxAkAAABHOXs7NBNvrZbvynBycrIqVqwoKac/ODk5WZJ07733atOmTc6NDgAAAChA+U6GK1asqKNHj0qSqlatqo8//lhSTsU4NDTUqcEBAAAg/yyG8w+zyncy/OSTT2rv3r2SpOeee06vv/66/P39NXToUI0cOdLpAQIAACCfWEDnsHz3DA8dOtT271atWungwYPauXOnKleurKioKKcGBwAAABSkv7XPsCSVK1dO5cqVc0YsAAAAwC3lUDI8e/ZshyccNGjQXw4GAAAAuJUcSoZnzpzp0GQWi4VkGAAAwMUscu6iN/NurOZgMpy7ewRuXw/dVUs+lkKuDgMwLe/KFVwdAmB6Rna6dMTVUdwm2GfYYfneTQIAAAAwi7+9gA4AAABuxtnboZl4azUqwwAAAPBYVIYBAADMhsqww6gMAwAAwGP9pWR48+bN6t69u6Kjo3Xy5ElJ0n//+19t2bLFqcEBAAAg/yyG8w+zyncy/OmnnyomJkYBAQHavXu30tPTJUkXLlzQlClTnB4gAAAA8skogMOk8p0Mv/DCC5o3b57efvttFSr0+761jRs31q5du5waHAAAAFCQ8r2ALiEhQU2bNs1zPiQkRCkpKc6ICQAAAH8HC+gclu/KcHh4uA4dOpTn/JYtW1SxYkWnBAUAAADcCvlOhp9++mkNHjxY27dvl8Vi0alTp7Rw4UKNGDFC/fv3L4gYAQAAkA8soHNcvtsknnvuOVmtVrVs2VJXrlxR06ZN5efnpxEjRmjgwIEFESMAAADyw7DkHM6cz6TynQxbLBb9+9//1siRI3Xo0CFdunRJ1atXV2BgYEHEBwAAABSYv3wHOl9fX1WvXt2ZsQAAAMAZWEDnsHwnw82bN5fFcv1S+bp16/5WQAAAAMCtku9kuE6dOnaPMzMztWfPHu3bt0+9evVyVlwAAAD4i5y96I0FdH8wc+bMa56fMGGCLl269LcDAgAAAG6VfG+tdj3du3fXu+++66zpAAAA8FdxO2aH/eUFdH+2bds2+fv7O2s6AAAA/FXO3huYZPh3nTt3tntsGIYSExO1Y8cOjR071mmBAQAAAAUt38lwSEiI3WMvLy9VqVJFkyZNUuvWrZ0WGAAAAP4itlZzWL6S4ezsbD355JOqVauWihYtWlAxAQAAALdEvhbQeXt7q3Xr1kpJSSmgcAAAAPC3sYDOYfneTaJmzZo6cuRIQcQCAAAAJ8jdZ9iZh1nlOxl+4YUXNGLECC1fvlyJiYlKTU21OwAAAIDbhcM9w5MmTdLw4cPVrl07SVKHDh3sbstsGIYsFouys7OdHyUAAABQABxOhidOnKh+/fpp/fr1BRkPAAAAcMs4nAwbRk6zyH333VdgwQAAAMAJ2FrNYfnaWu2PbREAAABwT85e9GbmBXT5SobvuuuumybEycnJfysgAAAA4FbJVzI8ceLEPHegAwAAgBsycTXXmfKVDHft2lWlSpUqqFgAAACAW8rhZJh+YQAAgNsEC+gc5vBNN3J3kwAAAADMwuFk2Gq10iIBAABwG3D17Zg3bdqkBx98UBEREbJYLFq6dKnd9d69e8tisdgdbdq0sRuTnJysbt26KTg4WKGhoerTp48uXbpkN+b7779XkyZN5O/vr8jISE2bNi3fn1W+b8cMAAAAN2cUwJEPly9fVu3atfX6669fd0ybNm2UmJhoOz788EO76926ddP+/fsVHx+v5cuXa9OmTXrmmWds11NTU9W6dWuVK1dOO3fu1Msvv6wJEyborbfeyles+VpABwAAANxM27Zt1bZt2xuO8fPzU3h4+DWvHThwQKtWrdJ3332n+vXrS5Jee+01tWvXTq+88ooiIiK0cOFCZWRk6N1335Wvr69q1KihPXv2aMaMGXZJ881QGQYAADCZgmqTSE1NtTvS09P/cowbNmxQqVKlVKVKFfXv31/nzp2zXdu2bZtCQ0NtibAktWrVSl5eXtq+fbttTNOmTeXr62sbExMTo4SEBJ0/f97hOEiGAQAA4JDIyEiFhITYjqlTp/6ledq0aaMFCxZo7dq1+s9//qONGzeqbdu2ys7OliQlJSXlWavm4+OjYsWKKSkpyTYmLCzMbkzu49wxjqBNAgAAwGwKaGu148ePKzg42Hbaz8/vL03XtWtX279r1aqlqKgoVapUSRs2bFDLli3/Vqj5RWUYAADAbApoAV1wcLDd8VeT4T+rWLGiSpQooUOHDkmSwsPDdebMGbsxWVlZSk5OtvUZh4eH6/Tp03Zjch9frxf5WkiGAQAA4FInTpzQuXPnVLp0aUlSdHS0UlJStHPnTtuYdevWyWq1qmHDhrYxmzZtUmZmpm1MfHy8qlSpoqJFizr82iTDAAAAJuPqfYYvXbqkPXv2aM+ePZKko0ePas+ePTp27JguXbqkkSNH6ptvvtEvv/yitWvXqmPHjqpcubJiYmIkSdWqVVObNm309NNP69tvv9XXX3+t2NhYde3aVREREZKkJ554Qr6+vurTp4/279+vjz76SK+++qqGDRuWr1hJhgEAAOBUO3bsUN26dVW3bl1J0rBhw1S3bl2NGzdO3t7e+v7779WhQwfddddd6tOnj+rVq6fNmzfbtV0sXLhQVatWVcuWLdWuXTvde++9dnsIh4SE6KuvvtLRo0dVr149DR8+XOPGjcvXtmoSC+gAAADMp4AW0DmqWbNmMozrP2n16tU3naNYsWJatGjRDcdERUVp8+bN+QvuT0iGAQAAzMbFyfDthDYJAAAAeCwqwwAAACbzVxa93Ww+s6IyDAAAAI9FZRgAAMBs6Bl2GJVhAAAAeCwqwwAAACZDz7DjSIYBAADMhjYJh9EmAQAAAI9FZRgAAMBsqAw7jMowAAAAPBaVYQAAAJOx/P/hzPnMimQYAADAbGiTcBhtEgAAAPBYVIYBAABMhn2GHUdlGAAAAB6LyjAAAIDZ0DPsMCrDAAAA8FhUhgEAAMzIxNVcZyIZBgAAMBkW0DmONgkAAAB4LCrDAAAAZsMCOodRGQYAAIDHojIMAABgMvQMO45kGAAAwGxok3AYbRIAAADwWFSGAQAATIY2CcdRGQYAAIDHojIMAABgNvQMO4xkGAAAwGxIhh1GmwQAAAA8FpVhAAAAk2EBneOoDAMAAMBjURkGAAAwG3qGHUZlGAAAAB6LyjAAAIDJWAxDFsN55VxnzuVuSIYBAADMhjYJh9EmAQAAAI9FZRgAAMBk2FrNcVSGAQAA4LGoDAMAAJgNPcMOIxkGAAAwGdokHEebBAAAADwWlWEAAACzoU3CYVSGAQAA4LGoDAMAAJgMPcOOIxkGAAAwG9okHEabBAAAADwWlWEAAAATMnNrgzNRGQYAAIDHojIMAABgNoaRczhzPpOiMgwAAACPRWUYAADAZNhazXEkwwAAAGbD1moOo00CAAAAHovKMAAAgMlYrDmHM+czKyrDAAAA8FhUhgEAAMyGnmGHkQw7SVxcnIYMGaKUlBRJ0oQJE7R06VLt2bPHpXHBPTwWe1qN211QZOV0ZaR56ccdhfXOi6V14rC/bUzbbufU/KHzqlzrqooEWdW5ak1dTvW+5nyFfK16dcXPqlQjTf3vv0tH9gfcqrcCuLVuTx5QtycT7M4d/zVQ/+zR6k8jDU2atk31G53R5H/9Q9u2REiSKlS6oEe6/aQaUckKDknX6aTCWvl5BX3+v0q36B0AzsFuEo6jTaKAjBgxQmvXrnV1GHATUdGXtSyuhIY8cKee71pR3j6Gpnx4RH4B2bYx/gFW7dgQpMWvlbrpfH3GJOpcUqGCDBm4bf1yJEjdOrWxHSNjm+QZ0+mRwzJkyXO+cpUUXUjx08uT66l/z5b6aEEV9XrmRz3Q+citCB0wjU2bNunBBx9URESELBaLli5danfdMAyNGzdOpUuXVkBAgFq1aqWff/7ZbkxycrK6deum4OBghYaGqk+fPrp06ZLdmO+//15NmjSRv7+/IiMjNW3atHzHSjJcQAIDA1W8eHFXhwE38e9uFRX/cTH9+pO/jvwYoOlDyiqsTKbujLpqG7Nkfkl9PCdMB3cWueFc9Zunqt59F/X2pIiCDhu4LWVnW3Q+2d92pF7ws7tesXKKOj92SLNeqpvnufFfltObs6O0b28JJSUW0fr4SK1ZWVaNm566VeEDzpF7BzpnHvlw+fJl1a5dW6+//vo1r0+bNk2zZ8/WvHnztH37dhUpUkQxMTFKS0uzjenWrZv279+v+Ph4LV++XJs2bdIzzzxju56amqrWrVurXLly2rlzp15++WVNmDBBb731Vr5i9chkuFmzZoqNjVVsbKxCQkJUokQJjR07Vsb//w99/vx59ezZU0WLFlXhwoXVtm3bPN9W4uLiVLZsWRUuXFgPPfSQzp07Z3d9woQJqlOnjt1rDhkyxG5Mp06d1Lt3b9vj8uXL64UXXlDPnj0VGBiocuXK6YsvvtDZs2fVsWNHBQYGKioqSjt27HDq54Fbr0hwTkX4Ysq12yCuJ7REpoa8fELTBpZV+lWP/PEFbuqOMpf1389W6Z3FX2nk2B0qWeqK7ZqfX5ZGjdupN2bV1vlk/xvM8rvCRTJ1MdW3oMIFTKlt27Z64YUX9NBDD+W5ZhiGZs2apTFjxqhjx46KiorSggULdOrUKVsF+cCBA1q1apXmz5+vhg0b6t5779Vrr72mxYsX69SpnC+nCxcuVEZGht59913VqFFDXbt21aBBgzRjxox8xeqxv03ff/99+fj46Ntvv9Wrr76qGTNmaP78+ZKk3r17a8eOHfriiy+0bds2GYahdu3aKTMzU5K0fft29enTR7GxsdqzZ4+aN2+uF154wSlxzZw5U40bN9bu3bvVvn179ejRQz179lT37t21a9cuVapUST179rQl7rj9WCyG+k08qX3fFtavCfnp9TU0YtZxrfhvcf38feECiw+4nSX8WEwzpt6tsSOi9fr02gorfUUvz9msgICc/34/PXCfDuwrpm+2lHZovmo1z6lpi5Nauax8AUYNOF9uz7AzDymnGvvHIz09Pd+xHT16VElJSWrV6vde/pCQEDVs2FDbtm2TJG3btk2hoaGqX7++bUyrVq3k5eWl7du328Y0bdpUvr6/f1mNiYlRQkKCzp8/73A8HruALjIyUjNnzpTFYlGVKlX0ww8/aObMmWrWrJm++OILff3117rnnnsk5XzziIyM1NKlS/XII4/o1VdfVZs2bTRq1ChJ0l133aWtW7dq1apVfzuudu3a6Z///Kckady4cZo7d64aNGigRx55RJI0evRoRUdH6/Tp0woPD8/z/PT0dLv/Y6ampv7tmOBcsVNOqlzVNA3vVDlfz+vY5zcFBGbrIwd6igFPtWN7mO3fvxwJUcKBoor7+Cs1aXFSF1L8VPvusxrYp7lDc5WrkKpxU7ZrUVxV7f6OnztAysmf/mj8+PGaMGFCvuZISkqSJIWFhdmdDwsLs11LSkpSqVL2P3c+Pj4qVqyY3ZgKFSrkmSP3WtGiRR2Kx2OT4UaNGsli+X3xRHR0tKZPn64ff/xRPj4+atiwoe1a8eLFVaVKFR04cEBSTun+z2X/6OhopyTDUVFRtn/n/g9aq1atPOfOnDlzzWR46tSpmjhx4t+OAwVjwIsn1PD+VA1/qJJ+S8zfn13rNL6kavWuaPkv39udn7PyJ637rKheGVLWmaECpnD5kq9OHg9UxB2XVb5iqkpHXNYnK1bYjfnX5G+1//viem7w7wvtIsulasrMr7Xyi/JavKDKrQ4b+PsKaGu148ePKzg42Hbaz8/vOk+4fXhsMnyreXl55WltyG27+KNChX7fISA3Wb/WOav12reCef755zVs2DDb49TU1Dzf4uAKhga8eFL3tLmgkQ9X1unj+f+Pxxtj71Dcf37/AlQ8PEtTPzyiKf3K6eBu2iaAa/EPyFLpOy5r3VeR2rz+Dq1eXt7u+tz31+ntObW0fevvP1tly6dq6qyvtXZVpBbMr36LIwaco6C2VgsODrZLhv+K3GLe6dOnVbr07y1Lp0+ftq23Cg8P15kzZ+yel5WVpeTkZNvzw8PDdfr0absxuY+vVTC8Ho/tGc7tN8n1zTff6M4771T16tWVlZVld/3cuXNKSEhQ9eo5/1GsVq3aNZ9/IyVLllRiYqLtcXZ2tvbt2/d330Yefn5+tv+jOuP/sHCO2Ckn1aLzeb00oJyuXvJS0ZKZKloyU77+v3+pKVoyUxVrXFVEhZw2lwpVr6pijasKCs2SJJ096atfEwJsx8nDOQn1qV/98l1lBsyqz7P7VLP2byoVflnVap7T2Be2y2q1aMOaMjqf7K9fjwbbHZJ09nSATifm7OJSrkKqXnp1i3Z/V1JLPq6sosXSVLRYmoJD8t8XCeDaKlSooPDwcLstaFNTU7V9+3ZFR0dLyvmLe0pKinbu3Gkbs27dOlmtVttf76Ojo7Vp0ya74mJ8fLyqVKnicIuE5MGV4WPHjmnYsGH65z//qV27dum1117T9OnTdeedd6pjx456+umn9eabbyooKEjPPfec7rjjDnXs2FGSNGjQIDVu3FivvPKKOnbsqNWrV9+0RaJFixYaNmyYVqxYoUqVKmnGjBm2G3TA/B7snbPbyCufHbY7/8qQSMV/XEyS1L7nOfUY/vs33OlLD+cZA+DGSpS8qtHjdyg4OEMXUny1/4fiGtrvvjzbq13Pvc1OKrRohlrEnFCLmBO286cTA/TkYzEFFTbgfH9hO7SbzpcPly5d0qFDh2yPjx49qj179qhYsWIqW7ashgwZohdeeEF33nmnKlSooLFjxyoiIkKdOnWSlFN4bNOmjZ5++mnNmzdPmZmZio2NVdeuXRURkbO16BNPPKGJEyeqT58+Gj16tPbt26dXX31VM2fOzFesHpsM9+zZU1evXtU//vEPeXt7a/Dgwba969577z0NHjxYDzzwgDIyMtS0aVN9+eWXtnaFRo0a6e2339b48eM1btw4tWrVSmPGjNHkyZOv+3pPPfWU9u7dq549e8rHx0dDhw5V8+aOLeLA7S8movZNx3wwPVwfTHf8zzqnT/g6NC/gSf4zsUG+xrdr2snu8cL3qmnhe9WcGBHgmXbs2GGX5+S2cPbq1UtxcXEaNWqULl++rGeeeUYpKSm69957tWrVKvn7/77l4cKFCxUbG6uWLVvKy8tLXbp00ezZs23XQ0JC9NVXX2nAgAGqV6+eSpQooXHjxtntRewIi+GBe3Q1a9ZMderU0axZs1wdSoFLTU1VSEiImqmjfCzcsQwoKN6VK9x8EIC/JSs7XWuPzNaFCxdoA7yO3N/70W0nyaeQY3tpOyIrM03bVo4z5WfvsZVhAAAA0yqg3STMyGMX0AEAAAAeWRnesGGDq0MAAAAoMAW1tZoZURkGAACAx/LIyjAAAICpWY2cw5nzmRTJMAAAgNmwgM5htEkAAADAY1EZBgAAMBmLnLyAznlTuR0qwwAAAPBYVIYBAADMxjByDmfOZ1JUhgEAAOCxqAwDAACYDDfdcBzJMAAAgNmwtZrDaJMAAACAx6IyDAAAYDIWw5DFiYvenDmXu6EyDAAAAI9FZRgAAMBsrP9/OHM+kyIZBgAAMBnaJBxHmwQAAAA8FpVhAAAAs2FrNYdRGQYAAIDHojIMAABgNoaRczhzPpOiMgwAAACPRWUYAADAZCxGzuHM+cyKZBgAAMBsaJNwGG0SAAAA8FhUhgEAAEzGYs05nDmfWVEZBgAAgMeiMgwAAGA29Aw7jGQYAADAbLgDncNokwAAAIDHojIMAABgMhbDkMWJrQ3OnMvdUBkGAACAx6IyDAAAYDYsoHMYyTAAAIDZGJKcuTeweXNh2iQAAADguagMAwAAmAwL6BxHZRgAAAAei8owAACA2Rhy8gI6503lbqgMAwAAwGNRGQYAADAbtlZzGMkwAACA2VglWZw8n0nRJgEAAACPRWUYAADAZNhazXFUhgEAAOCxqAwDAACYDQvoHEYyDAAAYDYkww6jTQIAAAAei8owAACA2VAZdhiVYQAAAHgsKsMAAABmw003HEYyDAAAYDLsM+w42iQAAADgsagMAwAAmA0L6BxGZRgAAAAei8owAACA2VgNyeLEaq6VyjAAAABgOlSGAQAAzIaeYYdRGQYAADAd4/eE2BmH8pcMT5gwQRaLxe6oWrWq7XpaWpoGDBig4sWLKzAwUF26dNHp06ft5jh27Jjat2+vwoULq1SpUho5cqSysrKc8eHYoTIMAAAAp6tRo4bWrFlje+zj83vaOXToUK1YsUKffPKJQkJCFBsbq86dO+vrr7+WJGVnZ6t9+/YKDw/X1q1blZiYqJ49e6pQoUKaMmWKU+MkGQYAADAbN2iT8PHxUXh4eJ7zFy5c0DvvvKNFixapRYsWkqT33ntP1apV0zfffKNGjRrpq6++0o8//qg1a9YoLCxMderU0eTJkzV69GhNmDBBvr6+f/st5aJNAgAAAE73888/KyIiQhUrVlS3bt107NgxSdLOnTuVmZmpVq1a2cZWrVpVZcuW1bZt2yRJ27ZtU61atRQWFmYbExMTo9TUVO3fv9+pcVIZBgAAMBtr/vt8bz6flJqaanfaz89Pfn5+eYY3bNhQcXFxqlKlihITEzVx4kQ1adJE+/btU1JSknx9fRUaGmr3nLCwMCUlJUmSkpKS7BLh3Ou515yJZBgAAMBsDGvO4cz5JEVGRtqdHj9+vCZMmJBneNu2bW3/joqKUsOGDVWuXDl9/PHHCggIcF5cTkAyDAAAAIccP35cwcHBtsfXqgpfS2hoqO666y4dOnRI999/vzIyMpSSkmJXHT59+rStxzg8PFzffvut3Ry5u01cqw/576BnGAAAwGycua3aHxbjBQcH2x2OJsOXLl3S4cOHVbp0adWrV0+FChXS2rVrbdcTEhJ07NgxRUdHS5Kio6P1ww8/6MyZM7Yx8fHxCg4OVvXq1Z34QVEZBgAAgJONGDFCDz74oMqVK6dTp05p/Pjx8vb21uOPP66QkBD16dNHw4YNU7FixRQcHKyBAwcqOjpajRo1kiS1bt1a1atXV48ePTRt2jQlJSVpzJgxGjBggMMJuKNIhgEAAMymgBbQOerEiRN6/PHHde7cOZUsWVL33nuvvvnmG5UsWVKSNHPmTHl5ealLly5KT09XTEyM3njjDdvzvb29tXz5cvXv31/R0dEqUqSIevXqpUmTJjnvPf0/i2GY+P56UGpqqkJCQtRMHeVjKeTqcADT8q5cwdUhAKaXlZ2utUdm68KFC3Z9q/hd7u/9Vnf0k4+X8yqoWdZ0rTk5z5SfPZVhAAAAs3GDm27cLkiGAQAAzMaQk5Nh503lbthNAgAAAB6LyjAAAIDZ0CbhMCrDAAAA8FhUhgEAAMzGapXkxNsxW504l5shGQYAADAb2iQcRpsEAAAAPBaVYQAAALOhMuwwKsMAAADwWFSGAQAAzMZqyKl3yrCatzJMMgwAAGAyhmGVYThvBwhnzuVuaJMAAACAx6IyDAAAYDaG4dzWBhbQAQAAAOZDZRgAAMBsDCcvoKMyDAAAAJgPlWEAAACzsVolixN3gDDxbhIkwwAAAGZDm4TDaJMAAACAx6IyDAAAYDKG1SrDiW0S3HQDAAAAMCEqwwAAAGZDz7DDSIYBAADMxmpIFpJhR9AmAQAAAI9FZRgAAMBsDEOSM/cZpjIMAAAAmA6VYQAAAJMxrIYMJ/YMGyauDJMMAwAAmI1hlXPbJNhnGAAAADAdKsMAAAAmQ5uE46gMAwAAwGNRGQYAADAbeoYdRjJscrl/1shSplPvygjAnpGd7uoQANPLsub8nJn5T/bO4uzf+1nKdN5kboZk2OQuXrwoSdqiL10cCWByR1wdAOA5Ll68qJCQEFeH4ZZ8fX0VHh6uLUnO/70fHh4uX19fp8/rahaDr1emZrVaderUKQUFBclisbg6HDggNTVVkZGROn78uIKDg10dDmBa/KzdfgzD0MWLFxURESEvL5Y9XU9aWpoyMjKcPq+vr6/8/f2dPq+rURk2OS8vL5UpU8bVYeAvCA4O5hc0cAvws3Z7oSJ8c/7+/qZMWgsKX6sAAADgsUiGAQAA4LFIhgE34+fnp/Hjx8vPz8/VoQCmxs8aAIkFdAAAAPBgVIYBAADgsUiGAQAA4LFIhgEAAOCxSIYBAADgsUiGAQAA4LFIhgEAAOCxuB0z4CbOnTuncePGaf369Tpz5oysVqvd9eTkZBdFBpjPmTNnrvlzFhUV5aKIALgKyTDgJnr06KFDhw6pT58+CgsLk8VicXVIgOns3LlTvXr10oEDB5S7zb7FYpFhGLJYLMrOznZxhABuNW66AbiJoKAgbdmyRbVr13Z1KIBp1a5dW5UqVdLo0aOv+aWzXLlyLooMgKtQGQbcRNWqVXX16lVXhwGY2pEjR/Tpp5+qcuXKrg4FgJtgAR3gJt544w39+9//1saNG3Xu3DmlpqbaHQD+vpYtW2rv3r2uDgOAG6EyDLiJ0NBQpaamqkWLFnbn6WUEnGf+/Pnq1auX9u3bp5o1a6pQoUJ21zt06OCiyAC4Cskw4Ca6deumQoUKadGiRSygAwrItm3b9PXXX2vlypV5rvGlE/BMLKAD3EThwoW1e/duValSxdWhAKZVvnx5PfDAAxo7dqzCwsJcHQ4AN0DPMOAm6tevr+PHj7s6DMDUzp07p6FDh5IIA7ChTQJwEwMHDtTgwYM1cuRI1apVK08vIzcDAP6+zp07a/369apUqZKrQwHgJmiTANyEl1feP9RwMwDAuV588UXNmjVL7du3v+aXzkGDBrkoMgCuQjIMuIlff/31hte5GQDw91WoUOG61ywWi44cOXILowHgDkiGAQAA4LHoGQbcxIIFC254vWfPnrcoEgAAPAeVYcBNFC1a1O5xZmamrly5Il9fXxUuXFjJyckuigwwj6eeeuqG1999991bFAkAd0FlGHAT58+fz3Pu559/Vv/+/TVy5EgXRASYz59/zjIzM7Vv3z6lpKTkufsjAM9AZRhwczt27FD37t118OBBV4cCmJLValX//v1VqVIljRo1ytXhALjFSIYBN7dnzx41bdpUqamprg4FMK2EhAQ1a9ZMiYmJrg4FwC1GmwTgJr744gu7x4ZhKDExUXPmzFHjxo1dFBXgGQ4fPqysrCxXhwHABUiGATfRqVMnu8cWi0UlS5ZUixYtNH36dNcEBZjMsGHD7B7nfulcsWKFevXq5aKoALgSbRIAAI/RvHlzu8deXl62L51PPfWUfHyoEQGehmQYAAAAHouvwIALDRs2TJMnT1aRIkXy/Pn2z2bMmHGLogIAwHOQDAMutHv3bmVmZtr+fT0Wi+VWhQSYzt133621a9eqaNGiqlu37g1/nnbt2nULIwPgDkiGARdav379Nf8NwHk6duwoPz8/SXkXqgIAPcMAAADwWFSGARfq3Lmzw2M/++yzAowEAADPRDIMuFBISIjt34ZhaMmSJQoJCVH9+vUlSTt37lRKSkq+kmYA9ooWLepw331ycnIBRwPA3ZAMAy703nvv2f49evRoPfroo5o3b568vb0lSdnZ2Xr22WcVHBzsqhCB296sWbNs/z537pxeeOEFxcTEKDo6WpK0bds2rV69WmPHjnVRhABciZ5hwE2ULFlSW7ZsUZUqVezOJyQk6J577tG5c+dcFBlgHl26dFHz5s0VGxtrd37OnDlas2aNli5d6prAALiMl6sDAJAjKytLBw8ezHP+4MGDslqtLogIMJ/Vq1erTZs2ec63adNGa9ascUFEAFyNNgnATTz55JPq06ePDh8+rH/84x+SpO3bt+ull17Sk08+6eLoAHMoXry4Pv/8cw0fPtzu/Oeff67ixYu7KCoArkQyDLiJV155ReHh4Zo+fboSExMlSaVLl9bIkSPz/OIG8NdMnDhRffv21YYNG9SwYUNJOV86V61apbffftvF0QFwBXqGATeUmpoqSSycAwrA9u3bNXv2bB04cECSVK1aNQ0aNMiWHAPwLCTDgJs5e/asEhISJElVq1ZViRIlXBwRAADmRZsE4CYuX76sgQMHasGCBbYFc97e3urZs6dee+01FS5c2MURAuaQnZ2tpUuX2irDNWrUUIcOHWxbGgLwLFSGATfxz3/+U2vWrNGcOXPUuHFjSdKWLVs0aNAg3X///Zo7d66LIwRuf4cOHVL79u114sQJ2zaGCQkJioyM1IoVK1SpUiUXRwjgViMZBtxEiRIl9L///U/NmjWzO79+/Xo9+uijOnv2rGsCA0ykXbt2MgxDCxcuVLFixSTl3Iije/fu8vLy0ooVK1wcIYBbjTYJwE1cuXJFYWFhec6XKlVKV65ccUFEgPls3LhR33zzjS0RlnK2W3vppZdsf5EB4Fm46QbgJqKjozV+/HilpaXZzl29elUTJ0603TYWwN/j5+enixcv5jl/6dIl+fr6uiAiAK5GmwTgJvbt26eYmBilp6erdu3akqS9e/fK399fq1evVo0aNVwcIXD769mzp3bt2qV33nnH7uY2Tz/9tOrVq6e4uDjXBgjgliMZBtzIlStXtHDhQtttmatVq6Zu3bopICDAxZEB5pCSkqJevXpp2bJlKlSokCQpMzNTHTt2VFxcnEJCQlwcIYBbjWQYAOBxDh06pB9//FGSVL16dVWuXNnFEQFwFRbQAW4kISFBr732mt2dsWJjY1W1alUXRwaYxzvvvKOZM2fq559/liTdeeedGjJkiPr27eviyAC4AgvoADfx6aefqmbNmtq5c6dq166t2rVra9euXapVq5Y+/fRTV4cHmMK4ceM0ePBgPfjgg/rkk0/0ySef6MEHH9TQoUM1btw4V4cHwAVokwDcRKVKldStWzdNmjTJ7vz48eP1wQcf6PDhwy6KDDCPkiVLavbs2Xr88cftzn/44YcaOHCgfvvtNxdFBsBVqAwDbiIxMVE9e/bMc7579+5KTEx0QUSA+WRmZqp+/fp5zterV09ZWVkuiAiAq5EMA26iWbNm2rx5c57zW7ZsUZMmTVwQEWA+PXr0uOatzd966y1169bNBREBcDXaJAA3MW/ePI0bN06PPvqoGjVqJEn65ptv9Mknn2jixImKiIiwje3QoYOrwgRuawMHDtSCBQsUGRlp+znbvn27jh07pp49e9q2W5OkGTNmuCpMALcQyTDgJry8HPtDjcViUXZ2dgFHA5hT8+bNHRpnsVi0bt26Ao4GgDsgGQYAAIDHomcYuM3UqlVLx48fd3UYAACYAskwcJv55ZdflJmZ6eowAAAwBZJhAAAAeCySYQAAAHgskmEAAAB4LJJhAAAAeCySYQAAAHgskmHATSxYsEDp6el5zmdkZGjBggW2x2+++abCwsJuZWgAAJgWN90A3IS3t7cSExNVqlQpu/Pnzp1TqVKluOscAAAFgMow4CYMw5DFYslz/sSJEwoJCXFBRAAAmJ+PqwMAPF3dunVlsVhksVjUsmVL+fj8/mOZnZ2to0ePqk2bNi6MEAAA8yIZBlysU6dOkqQ9e/YoJiZGgYGBtmu+vr4qX768unTp4qLoAAAwN3qGATfx/vvv67HHHpO/v7+rQwEAwGOQDANuZufOnTpw4IAkqUaNGqpbt66LIwIAwLxokwDcxJkzZ9S1a1dt2LBBoaGhkqSUlBQ1b95cixcvVsmSJV0bIAAAJsRuEoCbGDhwoC5evKj9+/crOTlZycnJ2rdvn1JTUzVo0CBXhwcAgCnRJgG4iZCQEK1Zs0YNGjSwO//tt9+qdevWSklJcU1gAACYGJVhwE1YrVYVKlQoz/lChQrJarW6ICIAAMyPZBhwEy1atNDgwYN16tQp27mTJ09q6NChatmypQsjAwDAvGiTANzE8ePH1aFDB+3fv1+RkZGSpGPHjqlWrVr64osvVKZMGRdHCACA+ZAMA27EMAytXbvWtrVatWrV1KpVKxdHBQCAeZEMA25k7dq1Wrt2rc6cOZOnT/jdd991UVQAAJgX+wwDbmLixImaNGmS6tevr9KlS8tisbg6JAAATI/KMOAmSpcurWnTpqlHjx6uDgUAAI/BbhKAm8jIyNA999zj6jAAAPAoJMOAm+jbt68WLVrk6jAAAPAo9AwDbiItLU1vvfWW1qxZo6ioqDw34JgxY4aLIgMAwLzoGQbcRPPmza97zWKxaN26dbcwGgAAPAPJMAAAADwWPcMAAADwWCTDAAAA8FgkwwAAAPBYJMMAAADwWCTDADxG79691alTJ9vjZs2aaciQIbc8jg0bNshisSglJeW6YywWi5YuXerwnBMmTFCdOnX+Vly//PKLLBaL9uzZ87fmAYDbCckwAJfq3bu3LBaLLBaLfH19VblyZU2aNElZWVkF/tqfffaZJk+e7NBYRxJYAMDth5tuAHC5Nm3a6L333lN6erq+/PJLDRgwQIUKFdLzzz+fZ2xGRoZ8fX2d8rrFihVzyjwAgNsXlWEALufn56fw8HCVK1dO/fv3V6tWrfTFF19I+r214cUXX1RERISqVKkiSTp+/LgeffRRhYaGqlixYurYsaN++eUX25zZ2dkaNmyYQkNDVbx4cY0aNUp/3lb9z20S6enpGj16tCIjI+Xn56fKlSvrnXfe0S+//GK7KUrRokVlsVjUu3dvSZLVatXUqVNVoUIFBQQEqHbt2vrf//5n9zpffvml7rrrLgUEBKh58+Z2cTpq9OjRuuuuu1S4cGFVrFhRY8eOVWZmZp5xb775piIjI1W4cGE9+uijunDhgt31+fPnq1q1avL391fVqlX1xhtv5DsWADATkmEAbicgIEAZGRm2x2vXrlVCQoLi4+O1fPlyZWZmKiYmRkFBQdq8ebO+/vprBQYGqk2bNrbnTZ8+XXFxcXr33Xe1ZcsWJScna8mSJTd83Z49e+rDDz/U7NmzdeDAAb355psKDAxUZGSkPv30U0lSQkKCEhMT9eqrr0qSpk6dqgULFmjevHnav3+/hg4dqu7du2vjxo2ScpL2zp0768EHH9SePXvUt29fPffcc/n+TIKCghQXF6cff/xRr776qt5++23NnDnTbsyhQ4f08ccfa9myZVq1apV2796tZ5991nZ94cKFGjdunF588UUdOHBAU6ZM0dixY/X+++/nOx4AMA0DAFyoV69eRseOHQ3DMAyr1WrEx8cbfn5+xogRI2zXw8LCjPT0dNtz/vvf/xpVqlQxrFar7Vx6eroREBBgrF692jAMwyhdurQxbdo02/XMzEyjTJkyttcyDMO47777jMGDBxuGYRgJCQmGJCM+Pv6aca5fv96QZJw/f952Li0tzShcuLCxdetWu7F9+vQxHn/8ccMwDOP55583qlevbnd99OjReeb6M0nGkiVLrnv95ZdfNurVq2d7PH78eMPb29s4ceKE7dzKlSsNLy8vIzEx0TAMw6hUqZKxaNEiu3kmT55sREdHG4ZhGEePHjUkGbt3777u6wKA2dAzDMDlli9frsDAQGVmZspqteqJJ57QhAkTbNdr1apl1ye8d+9eHTp0SEFBQXbzpKWl6fDhw7pw4YISExPVsGFD2zUfHx/Vr18/T6tErj179sjb21v33Xefw3EfOnRIV65c0f333293PiMjQ3Xr1pUkHThwwC4OSYqOjnb4NXJ99NFHmj17tg4fPqxLly4pKytLwcHBdmPKli2rO+64w+51rFarEhISFBQUpMOHD6tPnz56+umnbWOysrIUEhKS73gAwCxIhgG4XPPmzTV37lz5+voqIiJCPj72/2kqUqSI3eNLly6pXr16WrhwYZ65SpYs+ZdiCAgIyPdzLl26JElasWKFXRIq5fRBO8u2bdvUrVs3TZw4UTExMQoJCdHixYs1ffr0fMf69ttv50nOvb29nRYrANxuSIYBuFyRIkVUuXJlh8fffffd+uijj1SqVKk81dFcpUuX1vbt29W0aVNJORXQnTt36u67777m+Fq1aslqtWrjxo1q1apVnuu5lens7GzbuerVq8vPz0/Hjh27bkW5WrVqtsWAub755pubv8k/2Lp1q8qVK6d///vftnO//vprnnHHjh3TqVOnFBERYXsdLy8vValSRWFhYYqIiNCRI0fUrVu3fL0+AJgZC+gA3Ha6deumEiVKqGPHjtq8ebOOHj2qDRs2aNCgQTpx4oQkafDgwXrppZe0dOlSHTx4UM8+++wN9wguX768evXqpaeeekpLly61zfnxxx9LksqVKyeLxaLly5fr7NmzunTpkoKCgjRixAgNHTpU77//vg4fPqxdu3bptddesy1K69evn37++WeNHDlSCQkJWrRokeLi4vL1fu+8804dO3ZMixcv1uHDhzV79uxrLgb09/dXr169tHfvXm3evFmDBg3So48+qvDwcEnSxIkTNXXqVM2ePVs//fSTfvjhB7333nuaMWNGvuIBADMhGQZw2ylcuLA2bdqksmXLqnPnzqpWrZr69OmjtLQ0W6V4+PDh6tGjh3r16qXo6GgFBQXpoYceuuG8c+fO1cMPP6xnn31WVatW1dNPP63Lly9Lku644w5NnDhRzz33nMLCwhQbGytJmjx5ssaOHaupU6eqWrVqatOmjVasWKEKFSpIyunj/fTTT7V06VLVrl1b8+bN05QpU/L1fjt06KChQ4cqNjZWderU0datWzV27Ng84ypXrqzOnTurXbt2at26taKiouy2Tuvbt6/mz5+v9957T7Vq1dJ9992nuLg4W6wA4IksxvVWkwAAAAAmR2UYAAAAHotkGAAAAB6LZBgAAAAei2QYAAAAHotkGAAAAB6LZBgAAAAei2QYAAAAHotkGAAAAB6LZBgAAAAei2QYAAAAHotkGAAAAB6LZBgAAAAe6/8AANq5xsGvcaQAAAAASUVORK5CYII=", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "races_per_year = np.cumsum([0] + df.groupby(\"raceYear\")[\"raceRound\"].max().to_list())\n", + "set_id = lambda y, r: r + (races_per_year[y - 2006])\n", + "\n", + "X[\"qid\"] = df.apply(lambda x: set_id(x[\"raceYear\"], x[\"raceRound\"]), axis=1)\n", + "\n", + "model = XGBRanker(\n", + " objective=\"rank:pairwise\",\n", + " learning_rate=0.1,\n", + " n_estimators=75,\n", + " max_depth=3,\n", + " min_child_weight=1,\n", + " gamma=0,\n", + " subsample=0.75,\n", + " colsample_bytree=0.75,\n", + " reg_alpha=2,\n", + " reg_lambda=2,\n", + ")\n", + "model_test(\n", + " (model,),\n", + " X,\n", + " y,\n", + " tscv,\n", + " scorers=scorers_ranker,\n", + " labels=labels,\n", + " rank=True,\n", + " multiclass=False,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Results\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In general, the results are the same as in previous sections.\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.11" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/f1_prediction/final_model/model_validation_posvar.ipynb b/f1_prediction/final_model/model_validation_posvar.ipynb new file mode 100644 index 0000000..844ad06 --- /dev/null +++ b/f1_prediction/final_model/model_validation_posvar.ipynb @@ -0,0 +1,673 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Final position in variable interval\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Dependencies\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The dependencies used are as follows\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.neighbors import KNeighborsClassifier\n", + "from sklearn.tree import DecisionTreeClassifier\n", + "from sklearn.ensemble import RandomForestClassifier\n", + "from sklearn.neural_network import MLPClassifier\n", + "from sklearn.metrics import make_scorer\n", + "\n", + "from xgboost import XGBClassifier, XGBRegressor, XGBRanker\n", + "\n", + "import sys\n", + "\n", + "sys.path.append(\"..\")\n", + "\n", + "from utils.custom_cvs import VariableTimeSeriesSplit\n", + "from utils.visualization import model_test\n", + "from utils.custom_scorers import (\n", + " balanced_accuracy_1interval_score,\n", + " mean_absolute_1interval_error,\n", + " balanced_accuracy_1interval_ranker,\n", + " mean_absolute_1interval_ranker,\n", + ")\n", + "\n", + "import pandas as pd\n", + "import numpy as np\n", + "\n", + "pd.set_option(\"display.max_columns\", None)\n", + "pd.set_option(\"display.max_rows\", None)\n", + "\n", + "import warnings\n", + "\n", + "warnings.simplefilter(\"ignore\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Initialization\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "First we will do the validation of the model that predicts the final position of each driver at a ±1 interval.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "df = pd.read_csv(\"../assets/data/processed/final_model.csv\")\n", + "\n", + "mid_rc = df.groupby(\"raceYear\")[\"raceRound\"].max().to_numpy() // 2\n", + "get_half = lambda x: f'{x[\"raceYear\"]}{x[\"raceRound\"] <= mid_rc[x[\"raceYear\"] - 2006]}'\n", + "instances_per_half = df.apply(get_half, axis=1).value_counts(sort=False).to_numpy()\n", + "\n", + "n_splits = len(instances_per_half) - 10\n", + "max_train_size = [instances_per_half[i : 10 + i].sum() for i in range(n_splits)]\n", + "test_size = instances_per_half[10:].tolist()\n", + "tscv = VariableTimeSeriesSplit(\n", + " n_splits=n_splits, max_train_size=max_train_size, test_size=test_size\n", + ")\n", + "\n", + "scorers = [\n", + " make_scorer(balanced_accuracy_1interval_score),\n", + " make_scorer(mean_absolute_1interval_error, greater_is_better=False),\n", + "]\n", + "\n", + "scorers_ranker = [\n", + " balanced_accuracy_1interval_ranker,\n", + " mean_absolute_1interval_ranker,\n", + "]\n", + "\n", + "X = pd.read_csv(\"../assets/data/processed/final_model_X.csv\")\n", + "y = df[\"positionFinal\"]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## K-Nearest Neighbors\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "KNeighborsClassifier(metric='manhattan', n_neighbors=31):\n", + "CV with make_scorer(balanced_accuracy_1interval_score): 0.30046491520175733\n", + "CV with make_scorer(mean_absolute_1interval_error, greater_is_better=False): -3.0308351673519005\n", + " precision recall f1-score support\n", + "\n", + " 1 0.46 0.85 0.59 252\n", + " 2 0.55 0.81 0.65 252\n", + " 3 0.39 0.40 0.40 252\n", + " 4 0.42 0.30 0.35 252\n", + " 5 0.29 0.24 0.26 252\n", + " 6 0.25 0.34 0.29 252\n", + " 7 0.25 0.32 0.28 252\n", + " 8 0.25 0.27 0.26 252\n", + " 9 0.26 0.27 0.27 251\n", + " 10 0.24 0.24 0.24 252\n", + " 11 0.26 0.23 0.24 250\n", + " 12 0.28 0.28 0.28 247\n", + " 13 0.27 0.25 0.26 244\n", + " 14 0.25 0.22 0.24 236\n", + " 15 0.33 0.20 0.25 223\n", + " 16 0.28 0.23 0.25 199\n", + " 17 0.39 0.18 0.24 165\n", + " 18 0.35 0.16 0.22 118\n", + " 19 0.36 0.16 0.22 75\n", + " 20 0.60 0.15 0.24 39\n", + "\n", + " accuracy 0.33 4315\n", + " macro avg 0.34 0.31 0.30 4315\n", + "weighted avg 0.32 0.33 0.31 4315\n", + "\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "knn = KNeighborsClassifier(n_neighbors=31, metric=\"manhattan\", weights=\"uniform\")\n", + "model_test((knn,), X, y, tscv, scorers=scorers, interval=1)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Decision Tree\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "DecisionTreeClassifier(criterion='log_loss', max_depth=4):\n", + "CV with make_scorer(balanced_accuracy_1interval_score): 0.3662371349458552\n", + "CV with make_scorer(mean_absolute_1interval_error, greater_is_better=False): -2.396004680424357\n", + " precision recall f1-score support\n", + "\n", + " 1 0.67 0.78 0.72 252\n", + " 2 0.66 0.75 0.70 252\n", + " 3 0.52 0.62 0.57 252\n", + " 4 0.45 0.46 0.45 252\n", + " 5 0.47 0.35 0.40 252\n", + " 6 0.32 0.40 0.35 252\n", + " 7 0.37 0.48 0.42 252\n", + " 8 0.34 0.31 0.33 252\n", + " 9 0.33 0.25 0.28 251\n", + " 10 0.37 0.22 0.28 252\n", + " 11 0.26 0.30 0.28 250\n", + " 12 0.29 0.45 0.35 247\n", + " 13 0.32 0.43 0.37 244\n", + " 14 0.28 0.41 0.33 236\n", + " 15 0.38 0.28 0.32 223\n", + " 16 0.38 0.20 0.26 199\n", + " 17 0.45 0.09 0.15 165\n", + " 18 0.56 0.21 0.31 118\n", + " 19 0.26 0.29 0.28 75\n", + " 20 1.00 0.23 0.38 39\n", + "\n", + " accuracy 0.40 4315\n", + " macro avg 0.43 0.37 0.38 4315\n", + "weighted avg 0.41 0.40 0.39 4315\n", + "\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "tree = DecisionTreeClassifier(max_depth=4, criterion=\"log_loss\", splitter=\"best\")\n", + "model_test((tree,), X, y, tscv, scorers=scorers, interval=1)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Random Forest\n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "RandomForestClassifier(criterion='entropy', max_depth=6, n_estimators=303):\n", + "CV with make_scorer(balanced_accuracy_1interval_score): 0.400653022325494\n", + "CV with make_scorer(mean_absolute_1interval_error, greater_is_better=False): -2.251820535859503\n", + " precision recall f1-score support\n", + "\n", + " 1 0.60 0.88 0.71 252\n", + " 2 0.67 0.81 0.73 252\n", + " 3 0.56 0.58 0.57 252\n", + " 4 0.49 0.48 0.48 252\n", + " 5 0.40 0.41 0.41 252\n", + " 6 0.39 0.51 0.44 252\n", + " 7 0.29 0.39 0.33 252\n", + " 8 0.52 0.39 0.45 252\n", + " 9 0.30 0.28 0.29 251\n", + " 10 0.29 0.25 0.27 252\n", + " 11 0.39 0.35 0.37 250\n", + " 12 0.29 0.38 0.33 247\n", + " 13 0.41 0.39 0.40 244\n", + " 14 0.30 0.29 0.30 236\n", + " 15 0.38 0.30 0.34 223\n", + " 16 0.40 0.32 0.36 199\n", + " 17 0.50 0.22 0.30 165\n", + " 18 0.56 0.36 0.44 118\n", + " 19 0.46 0.29 0.36 75\n", + " 20 0.36 0.26 0.30 39\n", + "\n", + " accuracy 0.43 4315\n", + " macro avg 0.43 0.41 0.41 4315\n", + "weighted avg 0.43 0.43 0.42 4315\n", + "\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "random_forest = RandomForestClassifier(\n", + " n_estimators=303, max_depth=6, criterion=\"entropy\"\n", + ")\n", + "\n", + "\n", + "model_test((random_forest,), X, y, tscv, scorers=scorers, interval=1)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Multilayer Perceptron\n" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "MLPClassifier(activation='logistic', hidden_layer_sizes=(39, 48)):\n", + "CV with make_scorer(balanced_accuracy_1interval_score): 0.3978028524622952\n", + "CV with make_scorer(mean_absolute_1interval_error, greater_is_better=False): -2.128927529865145\n", + " precision recall f1-score support\n", + "\n", + " 1 0.63 0.86 0.73 252\n", + " 2 0.64 0.78 0.70 252\n", + " 3 0.58 0.50 0.54 252\n", + " 4 0.52 0.43 0.47 252\n", + " 5 0.40 0.48 0.43 252\n", + " 6 0.35 0.51 0.42 252\n", + " 7 0.39 0.37 0.38 252\n", + " 8 0.31 0.27 0.28 252\n", + " 9 0.38 0.27 0.32 251\n", + " 10 0.34 0.30 0.32 252\n", + " 11 0.30 0.35 0.32 250\n", + " 12 0.40 0.43 0.42 247\n", + " 13 0.32 0.37 0.34 244\n", + " 14 0.43 0.39 0.41 236\n", + " 15 0.44 0.32 0.37 223\n", + " 16 0.37 0.37 0.37 199\n", + " 17 0.37 0.33 0.35 165\n", + " 18 0.64 0.47 0.54 118\n", + " 19 0.26 0.25 0.26 75\n", + " 20 1.00 0.33 0.50 39\n", + "\n", + " accuracy 0.43 4315\n", + " macro avg 0.45 0.42 0.42 4315\n", + "weighted avg 0.43 0.43 0.43 4315\n", + "\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "nn = MLPClassifier(hidden_layer_sizes=(39, 48), activation=\"logistic\")\n", + "model_test((nn,), X, y, tscv, scorers=scorers, interval=1)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## XGBClassifier\n" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "XGBClassifier(base_score=None, booster=None, callbacks=None,\n", + " colsample_bylevel=None, colsample_bynode=None,\n", + " colsample_bytree=0.75, device=None, early_stopping_rounds=None,\n", + " enable_categorical=False, eval_metric=None, feature_types=None,\n", + " gamma=0, grow_policy=None, importance_type=None,\n", + " interaction_constraints=None, learning_rate=0.1, max_bin=None,\n", + " max_cat_threshold=None, max_cat_to_onehot=None,\n", + " max_delta_step=None, max_depth=3, max_leaves=None,\n", + " min_child_weight=1, missing=nan, monotone_constraints=None,\n", + " multi_strategy=None, n_estimators=75, n_jobs=None,\n", + " num_parallel_tree=None, objective='multi:softmax', ...):\n", + "CV with make_scorer(balanced_accuracy_1interval_score): 0.415256642723748\n", + "CV with make_scorer(mean_absolute_1interval_error, greater_is_better=False): -2.1755048443675324\n", + " precision recall f1-score support\n", + "\n", + " 0 0.70 0.83 0.76 252\n", + " 1 0.67 0.77 0.72 252\n", + " 2 0.57 0.62 0.59 252\n", + " 3 0.47 0.54 0.51 252\n", + " 4 0.43 0.49 0.45 252\n", + " 5 0.43 0.46 0.45 252\n", + " 6 0.32 0.33 0.32 252\n", + " 7 0.39 0.34 0.36 252\n", + " 8 0.33 0.26 0.29 251\n", + " 9 0.36 0.36 0.36 252\n", + " 10 0.31 0.30 0.31 250\n", + " 11 0.39 0.36 0.37 247\n", + " 12 0.36 0.37 0.36 244\n", + " 13 0.35 0.37 0.36 236\n", + " 14 0.37 0.34 0.36 223\n", + " 15 0.37 0.35 0.36 199\n", + " 16 0.40 0.26 0.32 165\n", + " 17 0.53 0.40 0.46 118\n", + " 18 0.46 0.37 0.41 75\n", + " 19 0.31 0.28 0.29 39\n", + "\n", + " accuracy 0.44 4315\n", + " macro avg 0.43 0.42 0.42 4315\n", + "weighted avg 0.43 0.44 0.43 4315\n", + "\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "model = XGBClassifier(\n", + " objective=\"multi:softmax\",\n", + " learning_rate=0.1,\n", + " n_estimators=75,\n", + " max_depth=3,\n", + " min_child_weight=1,\n", + " gamma=0,\n", + " subsample=0.75,\n", + " colsample_bytree=0.75,\n", + " reg_alpha=2,\n", + " reg_lambda=2,\n", + ")\n", + "model_test((model,), X, y - 1, tscv, scorers=scorers, interval=1)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## XGBRegressor\n" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "XGBRegressor(base_score=None, booster=None, callbacks=None,\n", + " colsample_bylevel=None, colsample_bynode=None,\n", + " colsample_bytree=0.75, device=None, early_stopping_rounds=None,\n", + " enable_categorical=False, eval_metric=None, feature_types=None,\n", + " gamma=0, grow_policy=None, importance_type=None,\n", + " interaction_constraints=None, learning_rate=0.1, max_bin=None,\n", + " max_cat_threshold=None, max_cat_to_onehot=None,\n", + " max_delta_step=None, max_depth=3, max_leaves=None,\n", + " min_child_weight=1, missing=nan, monotone_constraints=None,\n", + " multi_strategy=None, n_estimators=75, n_jobs=None,\n", + " num_parallel_tree=None, objective='reg:linear', ...):\n", + "CV with make_scorer(balanced_accuracy_1interval_score): 0.3843026370058104\n", + "CV with make_scorer(mean_absolute_1interval_error, greater_is_better=False): -2.111647245802256\n", + " precision recall f1-score support\n", + "\n", + " 0 0.97 0.56 0.71 252\n", + " 1 0.81 0.61 0.70 252\n", + " 2 0.51 0.51 0.51 252\n", + " 3 0.56 0.52 0.54 252\n", + " 4 0.45 0.44 0.45 252\n", + " 5 0.44 0.45 0.44 252\n", + " 6 0.34 0.38 0.36 252\n", + " 7 0.35 0.44 0.39 252\n", + " 8 0.33 0.41 0.36 251\n", + " 9 0.30 0.41 0.35 252\n", + " 10 0.34 0.49 0.40 250\n", + " 11 0.35 0.49 0.41 247\n", + " 12 0.32 0.41 0.36 244\n", + " 13 0.35 0.42 0.38 236\n", + " 14 0.41 0.32 0.36 223\n", + " 15 0.46 0.28 0.35 199\n", + " 16 0.47 0.24 0.31 165\n", + " 17 0.61 0.19 0.29 118\n", + " 18 0.80 0.05 0.10 75\n", + " 19 1.00 0.03 0.05 39\n", + "\n", + " accuracy 0.42 4315\n", + " macro avg 0.51 0.38 0.39 4315\n", + "weighted avg 0.47 0.42 0.42 4315\n", + "\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "model = XGBRegressor(\n", + " objective=\"reg:linear\",\n", + " learning_rate=0.1,\n", + " n_estimators=75,\n", + " max_depth=3,\n", + " min_child_weight=1,\n", + " gamma=0,\n", + " subsample=0.75,\n", + " colsample_bytree=0.75,\n", + " reg_alpha=2,\n", + " reg_lambda=2,\n", + ")\n", + "model_test((model,), X, y - 1, tscv, scorers=scorers, interval=1)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## XGBRanker\n" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "XGBRanker(base_score=None, booster=None, callbacks=None, colsample_bylevel=None,\n", + " colsample_bynode=None, colsample_bytree=0.75, device=None,\n", + " early_stopping_rounds=None, enable_categorical=False,\n", + " eval_metric=None, feature_types=None, gamma=0, grow_policy=None,\n", + " importance_type=None, interaction_constraints=None, learning_rate=0.1,\n", + " max_bin=None, max_cat_threshold=None, max_cat_to_onehot=None,\n", + " max_delta_step=None, max_depth=3, max_leaves=None, min_child_weight=1,\n", + " missing=nan, monotone_constraints=None, multi_strategy=None,\n", + " n_estimators=75, n_jobs=None, num_parallel_tree=None,\n", + " objective='rank:pairwise', ...):\n", + "CV with balanced_accuracy_1interval_ranker: 0.522327745807493\n", + "CV with mean_absolute_1interval_ranker: -1.7154524290649638\n", + " precision recall f1-score support\n", + "\n", + " 1 0.81 0.81 0.81 252\n", + " 2 0.70 0.73 0.71 252\n", + " 3 0.62 0.63 0.63 252\n", + " 4 0.53 0.53 0.53 252\n", + " 5 0.53 0.52 0.52 252\n", + " 6 0.45 0.44 0.45 252\n", + " 7 0.42 0.42 0.42 252\n", + " 8 0.41 0.42 0.42 252\n", + " 9 0.39 0.39 0.39 251\n", + " 10 0.36 0.35 0.36 252\n", + " 11 0.40 0.42 0.41 250\n", + " 12 0.35 0.34 0.35 247\n", + " 13 0.41 0.39 0.40 244\n", + " 14 0.48 0.50 0.49 236\n", + " 15 0.50 0.50 0.50 223\n", + " 16 0.54 0.54 0.54 199\n", + " 17 0.61 0.59 0.60 165\n", + " 18 0.69 0.72 0.71 118\n", + " 19 0.77 0.67 0.71 75\n", + " 20 0.82 0.79 0.81 39\n", + "\n", + " accuracy 0.51 4315\n", + " macro avg 0.54 0.54 0.54 4315\n", + "weighted avg 0.51 0.51 0.51 4315\n", + "\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "races_per_year = np.cumsum([0] + df.groupby(\"raceYear\")[\"raceRound\"].max().to_list())\n", + "set_id = lambda y, r: r + (races_per_year[y - 2006])\n", + "\n", + "X[\"qid\"] = df.apply(lambda x: set_id(x[\"raceYear\"], x[\"raceRound\"]), axis=1)\n", + "\n", + "model = XGBRanker(\n", + " objective=\"rank:pairwise\",\n", + " learning_rate=0.1,\n", + " n_estimators=75,\n", + " max_depth=3,\n", + " min_child_weight=1,\n", + " gamma=0,\n", + " subsample=0.75,\n", + " colsample_bytree=0.75,\n", + " reg_alpha=2,\n", + " reg_lambda=2,\n", + ")\n", + "model_test(\n", + " (model,),\n", + " X,\n", + " y,\n", + " tscv,\n", + " scorers=scorers_ranker,\n", + " interval=1,\n", + " rank=True,\n", + " multiclass=True,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Results\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "It can be seen that in general the results are maintained or slightly improved, with the difference of the XGBRanker, which has improved drastically.\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.11" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/f1_prediction/final_model/simple_tuning.ipynb b/f1_prediction/final_model/simple_tuning.ipynb new file mode 100644 index 0000000..bc83668 --- /dev/null +++ b/f1_prediction/final_model/simple_tuning.ipynb @@ -0,0 +1,39 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Simple hyperparameter tuning\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Tuning methods\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "For the improvement of the selected models, we will first do a simple hyperparameter tuning. For this we can use mainly two methods\n", + "\n", + "- For a more exhaustive search, GridSearch\n", + "- For a more stochastic search, RandomizedSearch\n", + "\n", + "In our case we will use the first option mentioned above for classical models and second option for XGBoost models. Likewise, the hyperparameters will be re-selected in later sections in a more rigorous way.\n", + "\n", + "Note that only one metric will be used, since using both in the next sections increases the execution time unnecessarily and we would obtain similar results. Therefore, either of the two will be used, specifically, the classification metric, since it is more representative of what we want to achieve and can be used in the two cases to be studied.\n" + ] + } + ], + "metadata": { + "language_info": { + "name": "python" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/f1_prediction/final_model/simple_tuning_pdm.ipynb b/f1_prediction/final_model/simple_tuning_pdm.ipynb new file mode 100644 index 0000000..2f55128 --- /dev/null +++ b/f1_prediction/final_model/simple_tuning_pdm.ipynb @@ -0,0 +1,439 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Is podium\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Dependencies\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The dependencies used are as follows\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.neighbors import KNeighborsClassifier\n", + "from sklearn.tree import DecisionTreeClassifier\n", + "from sklearn.ensemble import RandomForestClassifier\n", + "from sklearn.neural_network import MLPClassifier\n", + "from sklearn.model_selection import GridSearchCV, RandomizedSearchCV\n", + "from sklearn.metrics import make_scorer\n", + "\n", + "from xgboost import XGBClassifier, XGBRegressor, XGBRanker\n", + "\n", + "import sys\n", + "\n", + "sys.path.append(\"..\")\n", + "\n", + "from utils.custom_cvs import VariableTimeSeriesSplit\n", + "from utils.custom_scorers import balanced_accuracy_score, balanced_accuracy_ranker\n", + "\n", + "import textwrap\n", + "import pandas as pd\n", + "import numpy as np\n", + "\n", + "pd.set_option(\"display.max_columns\", None)\n", + "pd.set_option(\"display.max_rows\", None)\n", + "\n", + "import warnings\n", + "\n", + "warnings.simplefilter(\"ignore\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Initialization\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We continue with the tuning of the model that predicts the podium\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "df = pd.read_csv(\"../assets/data/processed/final_model.csv\")\n", + "\n", + "mid_rc = df.groupby(\"raceYear\")[\"raceRound\"].max().to_numpy() // 2\n", + "get_half = lambda x: f'{x[\"raceYear\"]}{x[\"raceRound\"] <= mid_rc[x[\"raceYear\"] - 2006]}'\n", + "instances_per_half = df.apply(get_half, axis=1).value_counts(sort=False).to_numpy()\n", + "\n", + "n_splits = len(instances_per_half) - 10\n", + "max_train_size = [instances_per_half[i : 10 + i].sum() for i in range(n_splits)]\n", + "test_size = instances_per_half[10:].tolist()\n", + "tscv = VariableTimeSeriesSplit(\n", + " n_splits=n_splits, max_train_size=max_train_size, test_size=test_size\n", + ")\n", + "\n", + "podiums = df[df[\"positionFinal\"].isin([1, 2, 3])][\n", + " [\"raceYear\", \"raceRound\", \"driverRef\"]\n", + "]\n", + "podiums = podiums.groupby(by=[\"raceYear\", \"raceRound\"]).agg({\"driverRef\": \",\".join})\n", + "\n", + "X = pd.read_csv(\"../assets/data/processed/final_model_X.csv\")\n", + "y = df.merge(podiums, how=\"left\", on=[\"raceYear\", \"raceRound\"], suffixes=(\"\", \"Podium\"))\n", + "y = y.apply(lambda x: int(x[\"driverRef\"] in x[\"driverRefPodium\"]), axis=1)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## K-Nearest Neighbors\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "KNeighborsClassifier: 0.7712286583402587 with {'metric': 'cosine', 'n_neighbors': 9,\n", + "\t'weights': 'distance'}\n" + ] + } + ], + "source": [ + "grid = dict(\n", + " n_neighbors=[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 15, 21, 31, 51, 101],\n", + " weights=[\"uniform\", \"distance\", None],\n", + " metric=[\"euclidean\", \"manhattan\", \"cosine\"],\n", + ")\n", + "search = GridSearchCV(\n", + " KNeighborsClassifier(),\n", + " grid,\n", + " scoring=make_scorer(balanced_accuracy_score),\n", + " cv=tscv,\n", + " n_jobs=-1,\n", + ").fit(X, y)\n", + "output = f\"KNeighborsClassifier: {search.best_score_} with {search.best_params_}\"\n", + "print(\"\\n\".join(textwrap.wrap(output, 88, subsequent_indent=\"\\t\")))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Decision Tree\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "DecisionTreeClassifier: 0.806103572882649 with {'criterion': 'entropy', 'max_depth': 3,\n", + "\t'splitter': 'best'}\n" + ] + } + ], + "source": [ + "grid = dict(\n", + " criterion=[\"gini\", \"entropy\", \"log_loss\"],\n", + " splitter=[\"best\", \"random\"],\n", + " max_depth=[2, 3, 4, 5, 6, 10, 20],\n", + ")\n", + "search = GridSearchCV(\n", + " DecisionTreeClassifier(),\n", + " grid,\n", + " scoring=make_scorer(balanced_accuracy_score),\n", + " cv=tscv,\n", + " n_jobs=-1,\n", + ").fit(X, y)\n", + "output = f\"DecisionTreeClassifier: {search.best_score_} with {search.best_params_}\"\n", + "print(\"\\n\".join(textwrap.wrap(output, 88, subsequent_indent=\"\\t\")))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Random Forest\n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "RandomForestClassifier: 0.803026762510689 with {'criterion': 'gini', 'max_depth': 6,\n", + "\t'n_estimators': 100}\n" + ] + } + ], + "source": [ + "grid = dict(\n", + " n_estimators=[10, 30, 50, 100, 200],\n", + " criterion=[\"gini\", \"entropy\", \"log_loss\"],\n", + " max_depth=[2, 3, 4, 5, 6, 10, 20],\n", + ")\n", + "search = GridSearchCV(\n", + " RandomForestClassifier(),\n", + " grid,\n", + " scoring=make_scorer(balanced_accuracy_score),\n", + " cv=tscv,\n", + " n_jobs=-1,\n", + ").fit(X, y)\n", + "output = f\"RandomForestClassifier: {search.best_score_} with {search.best_params_}\"\n", + "print(\"\\n\".join(textwrap.wrap(output, 88, subsequent_indent=\"\\t\")))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Multilayer Perceptron\n" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "MLPClassifier: 0.8079596679237415 with {'activation': 'logistic', 'hidden_layer_sizes':\n", + "\t(50, 20, 5)}\n" + ] + } + ], + "source": [ + "grid = dict(\n", + " hidden_layer_sizes=[(100,), (50, 25), (50, 20, 5)],\n", + " activation=[\"relu\", \"logistic\"],\n", + ")\n", + "search = GridSearchCV(\n", + " MLPClassifier(),\n", + " grid,\n", + " scoring=make_scorer(balanced_accuracy_score),\n", + " cv=tscv,\n", + " n_jobs=-1,\n", + ").fit(X, y)\n", + "output = f\"MLPClassifier: {search.best_score_} with {search.best_params_}\"\n", + "print(\"\\n\".join(textwrap.wrap(output, 88, subsequent_indent=\"\\t\")))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## XGBClassifier\n" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "XGBClassifier: 0.8126726830996678 with {'subsample': 0.75, 'reg_lambda': 10,\n", + "\t'reg_alpha': 10, 'n_estimators': 50, 'min_child_weight': 15, 'max_depth': 3,\n", + "\t'learning_rate': 0.2, 'gamma': 0.5, 'colsample_bytree': 0.9}\n" + ] + } + ], + "source": [ + "grid = dict(\n", + " learning_rate=[0.01, 0.1, 0.2],\n", + " n_estimators=[50, 75, 150],\n", + " max_depth=[3, 5, 10],\n", + " min_child_weight=[1, 5, 15, 200],\n", + " gamma=[0, 0.5, 0.75, 0.9],\n", + " subsample=[0.5, 0.75, 0.9],\n", + " colsample_bytree=[0.5, 0.75, 0.9],\n", + " reg_alpha=[0, 3, 10],\n", + " reg_lambda=[0, 3, 10],\n", + ")\n", + "search = RandomizedSearchCV(\n", + " XGBClassifier(objective=\"binary:logistic\"),\n", + " grid,\n", + " scoring=make_scorer(balanced_accuracy_score),\n", + " cv=tscv,\n", + " n_jobs=-1,\n", + " n_iter=30,\n", + ").fit(X, y)\n", + "output = f\"XGBClassifier: {search.best_score_} with {search.best_params_}\"\n", + "print(\"\\n\".join(textwrap.wrap(output, 88, subsequent_indent=\"\\t\")))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## XGBRegressor\n" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "XGBRegressor: 0.825580718403798 with {'subsample': 0.75, 'reg_lambda': 0, 'reg_alpha':\n", + "\t0, 'n_estimators': 50, 'min_child_weight': 200, 'max_depth': 3, 'learning_rate': 0.1,\n", + "\t'gamma': 0, 'colsample_bytree': 0.75}\n" + ] + } + ], + "source": [ + "grid = dict(\n", + " learning_rate=[0.01, 0.1, 0.2],\n", + " n_estimators=[50, 75, 150],\n", + " max_depth=[3, 5, 10],\n", + " min_child_weight=[1, 5, 15, 200],\n", + " gamma=[0, 0.5, 0.75, 0.9],\n", + " subsample=[0.5, 0.75, 0.9],\n", + " colsample_bytree=[0.5, 0.75, 0.9],\n", + " reg_alpha=[0, 3, 10],\n", + " reg_lambda=[0, 3, 10],\n", + ")\n", + "search = RandomizedSearchCV(\n", + " XGBRegressor(objective=\"reg:linear\"),\n", + " grid,\n", + " scoring=make_scorer(balanced_accuracy_score),\n", + " cv=tscv,\n", + " n_jobs=-1,\n", + " n_iter=50,\n", + ").fit(X, y)\n", + "output = f\"XGBRegressor: {search.best_score_} with {search.best_params_}\"\n", + "print(\"\\n\".join(textwrap.wrap(output, 88, subsequent_indent=\"\\t\")))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## XGBRanker\n" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "XGBRanker: 0.8438580134166631 with {'subsample': 0.5, 'reg_lambda': 3, 'reg_alpha': 0,\n", + "\t'n_estimators': 150, 'min_child_weight': 15, 'max_depth': 5, 'learning_rate': 0.01,\n", + "\t'gamma': 0.9, 'colsample_bytree': 0.5}\n" + ] + } + ], + "source": [ + "races_per_year = np.cumsum([0] + df.groupby(\"raceYear\")[\"raceRound\"].max().to_list())\n", + "set_id = lambda y, r: r + (races_per_year[y - 2006])\n", + "\n", + "X[\"qid\"] = df.apply(lambda x: set_id(x[\"raceYear\"], x[\"raceRound\"]), axis=1)\n", + "\n", + "grid = dict(\n", + " learning_rate=[0.01, 0.1, 0.2],\n", + " n_estimators=[50, 75, 150],\n", + " max_depth=[3, 5, 10],\n", + " min_child_weight=[1, 5, 15, 200],\n", + " gamma=[0, 0.5, 0.75, 0.9],\n", + " subsample=[0.5, 0.75, 0.9],\n", + " colsample_bytree=[0.5, 0.75, 0.9],\n", + " reg_alpha=[0, 3, 10],\n", + " reg_lambda=[0, 3, 10],\n", + ")\n", + "search = RandomizedSearchCV(\n", + " XGBRanker(objective=\"rank:pairwise\"),\n", + " grid,\n", + " scoring=balanced_accuracy_ranker,\n", + " cv=tscv,\n", + " n_jobs=-1,\n", + " n_iter=50,\n", + ").fit(X, y)\n", + "output = f\"XGBRanker: {search.best_score_} with {search.best_params_}\"\n", + "print(\"\\n\".join(textwrap.wrap(output, 88, subsequent_indent=\"\\t\")))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Results\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "After viewing several runs, the hyperparameters for each algorithm are as follows\n", + "\n", + "- KNeighborsClassifier: 0.7712286583402587 with {'metric': 'cosine', 'n_neighbors': 9, 'weights': 'distance'}\n", + "- DecisionTreeClassifier: 0.806103572882649 with {'criterion': 'entropy', 'max_depth': 3, 'splitter': 'best'}\n", + "- RandomForestClassifier: 0.803026762510689 with {'criterion': 'gini', 'max_depth': 6, 'n_estimators': 100}\n", + "- MLPClassifier: 0.8079596679237415 with {'activation': 'logistic', 'hidden_layer_sizes': (50, 20, 5)}\n", + "- XGBClassifier: 0.8126726830996678 with {'subsample': 0.75, 'reg_lambda': 10, 'reg_alpha': 10, 'n_estimators': 50, 'min_child_weight': 15, 'max_depth': 3, 'learning_rate': 0.2, 'gamma': 0.5, 'colsample_bytree': 0.9}\n", + "- XGBRegressor: 0.825580718403798 with {'subsample': 0.75, 'reg_lambda': 0, 'reg_alpha': 0, 'n_estimators': 50, 'min_child_weight': 200, 'max_depth': 3, 'learning_rate': 0.1, 'gamma': 0, 'colsample_bytree': 0.75}\n", + "- XGBRanker: 0.8438580134166631 with {'subsample': 0.5, 'reg_lambda': 3, 'reg_alpha': 0, 'n_estimators': 150, 'min_child_weight': 15, 'max_depth': 5, 'learning_rate': 0.01, 'gamma': 0.9, 'colsample_bytree': 0.5}\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.11" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/f1_prediction/final_model/simple_tuning_posvar.ipynb b/f1_prediction/final_model/simple_tuning_posvar.ipynb new file mode 100644 index 0000000..e313a08 --- /dev/null +++ b/f1_prediction/final_model/simple_tuning_posvar.ipynb @@ -0,0 +1,436 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Final position in variable interval\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Dependencies\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The dependencies used are as follows\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.neighbors import KNeighborsClassifier\n", + "from sklearn.tree import DecisionTreeClassifier\n", + "from sklearn.ensemble import RandomForestClassifier\n", + "from sklearn.neural_network import MLPClassifier\n", + "from sklearn.model_selection import GridSearchCV, RandomizedSearchCV\n", + "from sklearn.metrics import make_scorer\n", + "\n", + "from xgboost import XGBClassifier, XGBRegressor, XGBRanker\n", + "\n", + "import sys\n", + "\n", + "sys.path.append(\"..\")\n", + "\n", + "from utils.custom_cvs import VariableTimeSeriesSplit\n", + "from utils.custom_scorers import (\n", + " balanced_accuracy_1interval_score,\n", + " balanced_accuracy_1interval_ranker,\n", + ")\n", + "\n", + "import textwrap\n", + "import pandas as pd\n", + "import numpy as np\n", + "\n", + "pd.set_option(\"display.max_columns\", None)\n", + "pd.set_option(\"display.max_rows\", None)\n", + "\n", + "import warnings\n", + "\n", + "warnings.simplefilter(\"ignore\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Initialization\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "First we will do the tuning of the model that predicts the final position of each driver at a ±1 interval.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "df = pd.read_csv(\"../assets/data/processed/final_model.csv\")\n", + "\n", + "mid_rc = df.groupby(\"raceYear\")[\"raceRound\"].max().to_numpy() // 2\n", + "get_half = lambda x: f'{x[\"raceYear\"]}{x[\"raceRound\"] <= mid_rc[x[\"raceYear\"] - 2006]}'\n", + "instances_per_half = df.apply(get_half, axis=1).value_counts(sort=False).to_numpy()\n", + "\n", + "n_splits = len(instances_per_half) - 10\n", + "max_train_size = [instances_per_half[i : 10 + i].sum() for i in range(n_splits)]\n", + "test_size = instances_per_half[10:].tolist()\n", + "tscv = VariableTimeSeriesSplit(\n", + " n_splits=n_splits, max_train_size=max_train_size, test_size=test_size\n", + ")\n", + "\n", + "X = pd.read_csv(\"../assets/data/processed/final_model_X.csv\")\n", + "y = df[\"positionFinal\"]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## K-Nearest Neighbors\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "KNeighborsClassifier: 0.3356910953253832 with {'metric': 'manhattan', 'n_neighbors': 15,\n", + "\t'weights': 'distance'}\n" + ] + } + ], + "source": [ + "grid = dict(\n", + " n_neighbors=[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 15, 21, 31, 51, 101],\n", + " weights=[\"uniform\", \"distance\", None],\n", + " metric=[\"euclidean\", \"manhattan\", \"cosine\"],\n", + ")\n", + "search = GridSearchCV(\n", + " KNeighborsClassifier(),\n", + " grid,\n", + " scoring=make_scorer(balanced_accuracy_1interval_score),\n", + " cv=tscv,\n", + " n_jobs=-1,\n", + ").fit(X, y)\n", + "output = f\"KNeighborsClassifier: {search.best_score_} with {search.best_params_}\"\n", + "print(\"\\n\".join(textwrap.wrap(output, 88, subsequent_indent=\"\\t\")))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Decision Tree\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "DecisionTreeClassifier: 0.3792287733670603 with {'criterion': 'gini', 'max_depth': 4,\n", + "\t'splitter': 'best'}\n" + ] + } + ], + "source": [ + "grid = dict(\n", + " criterion=[\"gini\", \"entropy\", \"log_loss\"],\n", + " splitter=[\"best\", \"random\"],\n", + " max_depth=[2, 3, 4, 5, 6, 10, 20],\n", + ")\n", + "search = GridSearchCV(\n", + " DecisionTreeClassifier(),\n", + " grid,\n", + " scoring=make_scorer(balanced_accuracy_1interval_score),\n", + " cv=tscv,\n", + " n_jobs=-1,\n", + ").fit(X, y)\n", + "output = f\"DecisionTreeClassifier: {search.best_score_} with {search.best_params_}\"\n", + "print(\"\\n\".join(textwrap.wrap(output, 88, subsequent_indent=\"\\t\")))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Random Forest\n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "RandomForestClassifier: 0.40066126402168717 with {'criterion': 'log_loss', 'max_depth':\n", + "\t6, 'n_estimators': 200}\n" + ] + } + ], + "source": [ + "grid = dict(\n", + " n_estimators=[10, 30, 50, 100, 200],\n", + " criterion=[\"gini\", \"entropy\", \"log_loss\"],\n", + " max_depth=[2, 3, 4, 5, 6, 10, 20],\n", + ")\n", + "search = GridSearchCV(\n", + " RandomForestClassifier(),\n", + " grid,\n", + " scoring=make_scorer(balanced_accuracy_1interval_score),\n", + " cv=tscv,\n", + " n_jobs=-1,\n", + ").fit(X, y)\n", + "output = f\"RandomForestClassifier: {search.best_score_} with {search.best_params_}\"\n", + "print(\"\\n\".join(textwrap.wrap(output, 88, subsequent_indent=\"\\t\")))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Multilayer Perceptron\n" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "MLPClassifier: 0.40441382956282335 with {'activation': 'logistic', 'hidden_layer_sizes':\n", + "\t(50, 25)}\n" + ] + } + ], + "source": [ + "grid = dict(\n", + " hidden_layer_sizes=[(100,), (50, 25), (50, 20, 5)],\n", + " activation=[\"relu\", \"logistic\"],\n", + ")\n", + "search = GridSearchCV(\n", + " MLPClassifier(),\n", + " grid,\n", + " scoring=make_scorer(balanced_accuracy_1interval_score),\n", + " cv=tscv,\n", + " n_jobs=-1,\n", + ").fit(X, y)\n", + "output = f\"MLPClassifier: {search.best_score_} with {search.best_params_}\"\n", + "print(\"\\n\".join(textwrap.wrap(output, 88, subsequent_indent=\"\\t\")))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## XGBClassifier\n" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "XGBClassifier: 0.40849538130046387 with {'subsample': 0.9, 'reg_lambda': 0, 'reg_alpha':\n", + "\t3, 'n_estimators': 150, 'min_child_weight': 5, 'max_depth': 10, 'learning_rate': 0.1,\n", + "\t'gamma': 0.5, 'colsample_bytree': 0.75}\n" + ] + } + ], + "source": [ + "grid = dict(\n", + " learning_rate=[0.01, 0.1, 0.2],\n", + " n_estimators=[50, 75, 150],\n", + " max_depth=[3, 5, 10],\n", + " min_child_weight=[1, 5, 15, 200],\n", + " gamma=[0, 0.5, 0.75, 0.9],\n", + " subsample=[0.5, 0.75, 0.9],\n", + " colsample_bytree=[0.5, 0.75, 0.9],\n", + " reg_alpha=[0, 3, 10],\n", + " reg_lambda=[0, 3, 10],\n", + ")\n", + "search = RandomizedSearchCV(\n", + " XGBClassifier(objective=\"multi:softmax\"),\n", + " grid,\n", + " scoring=make_scorer(balanced_accuracy_1interval_score),\n", + " cv=tscv,\n", + " n_jobs=-1,\n", + " n_iter=30,\n", + ").fit(X, y - 1)\n", + "output = f\"XGBClassifier: {search.best_score_} with {search.best_params_}\"\n", + "print(\"\\n\".join(textwrap.wrap(output, 88, subsequent_indent=\"\\t\")))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## XGBRegressor\n" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "XGBRegressor: 0.390913353764876 with {'subsample': 0.9, 'reg_lambda': 10, 'reg_alpha':\n", + "\t0, 'n_estimators': 50, 'min_child_weight': 200, 'max_depth': 5, 'learning_rate': 0.2,\n", + "\t'gamma': 0.75, 'colsample_bytree': 0.9}\n" + ] + } + ], + "source": [ + "grid = dict(\n", + " learning_rate=[0.01, 0.1, 0.2],\n", + " n_estimators=[50, 75, 150],\n", + " max_depth=[3, 5, 10],\n", + " min_child_weight=[1, 5, 15, 200],\n", + " gamma=[0, 0.5, 0.75, 0.9],\n", + " subsample=[0.5, 0.75, 0.9],\n", + " colsample_bytree=[0.5, 0.75, 0.9],\n", + " reg_alpha=[0, 3, 10],\n", + " reg_lambda=[0, 3, 10],\n", + ")\n", + "search = RandomizedSearchCV(\n", + " XGBRegressor(objective=\"reg:linear\"),\n", + " grid,\n", + " scoring=make_scorer(balanced_accuracy_1interval_score),\n", + " cv=tscv,\n", + " n_jobs=-1,\n", + " n_iter=50,\n", + ").fit(X, y - 1)\n", + "output = f\"XGBRegressor: {search.best_score_} with {search.best_params_}\"\n", + "print(\"\\n\".join(textwrap.wrap(output, 88, subsequent_indent=\"\\t\")))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## XGBRanker\n" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "XGBRanker: 0.5374805117864973 with {'subsample': 0.75, 'reg_lambda': 3, 'reg_alpha': 3,\n", + "\t'n_estimators': 75, 'min_child_weight': 15, 'max_depth': 5, 'learning_rate': 0.1,\n", + "\t'gamma': 0.9, 'colsample_bytree': 0.9}\n" + ] + } + ], + "source": [ + "races_per_year = np.cumsum([0] + df.groupby(\"raceYear\")[\"raceRound\"].max().to_list())\n", + "set_id = lambda y, r: r + (races_per_year[y - 2006])\n", + "\n", + "X[\"qid\"] = df.apply(lambda x: set_id(x[\"raceYear\"], x[\"raceRound\"]), axis=1)\n", + "\n", + "grid = dict(\n", + " learning_rate=[0.01, 0.1, 0.2],\n", + " n_estimators=[50, 75, 150],\n", + " max_depth=[3, 5, 10],\n", + " min_child_weight=[1, 5, 15, 200],\n", + " gamma=[0, 0.5, 0.75, 0.9],\n", + " subsample=[0.5, 0.75, 0.9],\n", + " colsample_bytree=[0.5, 0.75, 0.9],\n", + " reg_alpha=[0, 3, 10],\n", + " reg_lambda=[0, 3, 10],\n", + ")\n", + "search = RandomizedSearchCV(\n", + " XGBRanker(objective=\"rank:pairwise\"),\n", + " grid,\n", + " scoring=balanced_accuracy_1interval_ranker,\n", + " cv=tscv,\n", + " n_jobs=-1,\n", + " n_iter=30,\n", + ").fit(X, y)\n", + "output = f\"XGBRanker: {search.best_score_} with {search.best_params_}\"\n", + "print(\"\\n\".join(textwrap.wrap(output, 88, subsequent_indent=\"\\t\")))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Results\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "After viewing several runs, the hyperparameters for each algorithm are as follows\n", + "\n", + "- KNeighborsClassifier: 0.3356910953253832 with {'metric': 'manhattan', 'n_neighbors': 15, 'weights': 'distance'}\n", + "- DecisionTreeClassifier: 0.3792287733670603 with {'criterion': 'gini', 'max_depth': 4, 'splitter': 'best'}\n", + "- RandomForestClassifier: 0.40066126402168717 with {'criterion': 'log_loss', 'max_depth': 6, 'n_estimators': 200}\n", + "- MLPClassifier: 0.40441382956282335 with {'activation': 'logistic', 'hidden_layer_sizes': (50, 25)}\n", + "- XGBClassifier: 0.40849538130046387 with {'subsample': 0.9, 'reg_lambda': 0, 'reg_alpha': 3, 'n_estimators': 150, 'min_child_weight': 5, 'max_depth': 10, 'learning_rate': 0.1, 'gamma': 0.5, 'colsample_bytree': 0.75}\n", + "- XGBRegressor: 0.390913353764876 with {'subsample': 0.9, 'reg_lambda': 10, 'reg_alpha': 0, 'n_estimators': 50, 'min_child_weight': 200, 'max_depth': 5, 'learning_rate': 0.2, 'gamma': 0.75, 'colsample_bytree': 0.9}\n", + "- XGBRanker: 0.5374805117864973 with {'subsample': 0.75, 'reg_lambda': 3, 'reg_alpha': 3, 'n_estimators': 75, 'min_child_weight': 15, 'max_depth': 5, 'learning_rate': 0.1, 'gamma': 0.9, 'colsample_bytree': 0.9}\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.11" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/f1_prediction/other_models/feature_selection_posvar.ipynb b/f1_prediction/other_models/feature_selection_posvar.ipynb index 2eb0d8e..3a5c5b6 100644 --- a/f1_prediction/other_models/feature_selection_posvar.ipynb +++ b/f1_prediction/other_models/feature_selection_posvar.ipynb @@ -63,7 +63,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "First we will do the tuning of the model that predicts the final position of each driver at a ±1 interval.\n" + "First we will do the selection of the model that predicts the final position of each driver at a ±1 interval.\n" ] }, { diff --git a/f1_prediction/other_models/model_validation_pdm.ipynb b/f1_prediction/other_models/model_validation_pdm.ipynb index e9a43d6..4a7140a 100644 --- a/f1_prediction/other_models/model_validation_pdm.ipynb +++ b/f1_prediction/other_models/model_validation_pdm.ipynb @@ -59,7 +59,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "The fifth objective attribute to be addressed will be if the driver is podium or not.\n" + "We continue with the validation of the model that predicts the podium\n" ] }, { @@ -256,9 +256,16 @@ " max_delta_step=None, max_depth=3, max_leaves=None, min_child_weight=1,\n", " missing=nan, monotone_constraints=None, multi_strategy=None,\n", " n_estimators=75, n_jobs=None, num_parallel_tree=None,\n", - " objective='rank:pairwise', ...):\n", + " objective='rank:pairwise', ...):" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", "CV with balanced_accuracy_ranker: 0.8091303281845245\n", - "CV with mean_absolute_ranker: 0.09304303943174165\n", + "CV with mean_absolute_ranker: -0.09304303943174165\n", " precision recall f1-score support\n", "\n", " not_podium 0.95 0.95 0.95 4545\n", diff --git a/f1_prediction/other_models/model_validation_posvar.ipynb b/f1_prediction/other_models/model_validation_posvar.ipynb index 8e7e699..ea2a291 100644 --- a/f1_prediction/other_models/model_validation_posvar.ipynb +++ b/f1_prediction/other_models/model_validation_posvar.ipynb @@ -65,7 +65,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "The second objective attribute to be addressed will be the final position in a ±1 interval of each driver.\n" + "First we will do the validation of the model that predicts the final position of each driver at a ±1 interval.\n" ] }, { diff --git a/f1_prediction/outliers/feature_selection_posvar.ipynb b/f1_prediction/outliers/feature_selection_posvar.ipynb index 7c16860..5798e5f 100644 --- a/f1_prediction/outliers/feature_selection_posvar.ipynb +++ b/f1_prediction/outliers/feature_selection_posvar.ipynb @@ -62,7 +62,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "First we will do the tuning of the model that predicts the final position of each driver at a ±1 interval.\n" + "First we will do the selection of the model that predicts the final position of each driver at a ±1 interval.\n" ] }, { diff --git a/f1_prediction/outliers/model_validation_atm_posvar.ipynb b/f1_prediction/outliers/model_validation_atm_posvar.ipynb index e8471f3..e7a0c2c 100644 --- a/f1_prediction/outliers/model_validation_atm_posvar.ipynb +++ b/f1_prediction/outliers/model_validation_atm_posvar.ipynb @@ -61,7 +61,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "First we will do the tuning of the model that predicts the final position of each driver at a ±1 interval.\n" + "First we will do the validation of the model that predicts the final position of each driver at a ±1 interval.\n" ] }, { diff --git a/f1_prediction/outliers/model_validation_mnl_posvar.ipynb b/f1_prediction/outliers/model_validation_mnl_posvar.ipynb index d93ff03..3d31af3 100644 --- a/f1_prediction/outliers/model_validation_mnl_posvar.ipynb +++ b/f1_prediction/outliers/model_validation_mnl_posvar.ipynb @@ -65,7 +65,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "First we will do the tuning of the model that predicts the final position of each driver at a ±1 interval.\n" + "First we will do the validation of the model that predicts the final position of each driver at a ±1 interval.\n" ] }, { diff --git a/f1_prediction/utils/custom_scorers.py b/f1_prediction/utils/custom_scorers.py index b4cd6c7..7df031e 100644 --- a/f1_prediction/utils/custom_scorers.py +++ b/f1_prediction/utils/custom_scorers.py @@ -140,7 +140,7 @@ def mean_absolute_ranker(ranker, X_test, y_test): .to_numpy(dtype=int) ) - return mean_absolute_error(y_true, y_pred) + return -mean_absolute_error(y_true, y_pred) @validate_params(