data science best practices with pandas part 3.ipynb

{"cells":[{"source":"<a href=\"https://www.kaggle.com/code/faressayah/data-science-best-practices-with-pandas-part-3?scriptVersionId=119299208\" target=\"_blank\"><img align=\"left\" alt=\"Kaggle\" title=\"Open in Kaggle\" 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"}},"cell_type":"markdown","id":"49e23967","metadata":{"papermill":{"duration":0.014793,"end_time":"2023-02-15T22:47:09.674569","exception":false,"start_time":"2023-02-15T22:47:09.659776","status":"completed"},"tags":[]},"source":["***\n","\n","# 🚑 911 Calls Capstone Project\n","\n","\n","✔️ All good data analysis projects begin with trying to answer questions. Now that we know what column category data we have let's think of some questions or insights we would like to obtain from the data. So here's a list of questions we'll try to answer using our data analysis skills!\n","\n","✔️ First some basic questions:\n","\n","> 1. From where the calls come most?\n","> 2. Which are top townships for calls?\n","> 3. How many unique title?\n","> 4. What is the reason for most calls?\n","\n","✔️ Feature informations:\n","> * `lat` : String variable, Latitude\n","> * `lng`: String variable, Longitude\n","> * `desc`: String variable, Description of the Emergency Call\n","> * `zip`: String variable, Zipcode\n","> * `title`: String variable, Title\n","> * `timeStamp`: String variable, YYYY-MM-DD HH:MM:SS\n","> * `twp`: String variable, Township\n","> * `addr`: String variable, Address\n","> * `e`: String variable, Dummy variable (always 1)\n","\n","![istockphoto-911803146-612x612.jpg](attachment:istockphoto-911803146-612x612.jpg)"]},{"cell_type":"code","execution_count":1,"id":"da9cc012","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:47:09.70438Z","iopub.status.busy":"2023-02-15T22:47:09.703668Z","iopub.status.idle":"2023-02-15T22:47:10.668122Z","shell.execute_reply":"2023-02-15T22:47:10.666828Z"},"papermill":{"duration":0.982478,"end_time":"2023-02-15T22:47:10.670857","exception":false,"start_time":"2023-02-15T22:47:09.688379","status":"completed"},"tags":[]},"outputs":[],"source":["import pandas as pd\n","import numpy as np\n","import matplotlib.pyplot as plt\n","import seaborn as sns\n","\n","%matplotlib inline\n","sns.set_style(\"whitegrid\")\n","plt.style.use(\"fivethirtyeight\")"]},{"cell_type":"markdown","id":"ec95c765","metadata":{"papermill":{"duration":0.014784,"end_time":"2023-02-15T22:47:10.699506","exception":false,"start_time":"2023-02-15T22:47:10.684722","status":"completed"},"tags":[]},"source":["# 📂 Get the Data"]},{"cell_type":"code","execution_count":2,"id":"93fd1bf0","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:47:10.730454Z","iopub.status.busy":"2023-02-15T22:47:10.73009Z","iopub.status.idle":"2023-02-15T22:47:13.638649Z","shell.execute_reply":"2023-02-15T22:47:13.637342Z"},"papermill":{"duration":2.926948,"end_time":"2023-02-15T22:47:13.640772","exception":false,"start_time":"2023-02-15T22:47:10.713824","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>latitude</th>\n","      <th>longitude</th>\n","      <th>description</th>\n","      <th>zipcode</th>\n","      <th>title</th>\n","      <th>timestamp</th>\n","      <th>township</th>\n","      <th>address</th>\n","      <th>e</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>40.297876</td>\n","      <td>-75.581294</td>\n","      <td>REINDEER CT &amp; DEAD END;  NEW HANOVER; Station ...</td>\n","      <td>19525.0</td>\n","      <td>EMS: BACK PAINS/INJURY</td>\n","      <td>2015-12-10 17:10:52</td>\n","      <td>NEW HANOVER</td>\n","      <td>REINDEER CT &amp; DEAD END</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>40.258061</td>\n","      <td>-75.264680</td>\n","      <td>BRIAR PATH &amp; WHITEMARSH LN;  HATFIELD TOWNSHIP...</td>\n","      <td>19446.0</td>\n","      <td>EMS: DIABETIC EMERGENCY</td>\n","      <td>2015-12-10 17:29:21</td>\n","      <td>HATFIELD TOWNSHIP</td>\n","      <td>BRIAR PATH &amp; WHITEMARSH LN</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>40.121182</td>\n","      <td>-75.351975</td>\n","      <td>HAWS AVE; NORRISTOWN; 2015-12-10 @ 14:39:21-St...</td>\n","      <td>19401.0</td>\n","      <td>Fire: GAS-ODOR/LEAK</td>\n","      <td>2015-12-10 14:39:21</td>\n","      <td>NORRISTOWN</td>\n","      <td>HAWS AVE</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>40.116153</td>\n","      <td>-75.343513</td>\n","      <td>AIRY ST &amp; SWEDE ST;  NORRISTOWN; Station 308A;...</td>\n","      <td>19401.0</td>\n","      <td>EMS: CARDIAC EMERGENCY</td>\n","      <td>2015-12-10 16:47:36</td>\n","      <td>NORRISTOWN</td>\n","      <td>AIRY ST &amp; SWEDE ST</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>40.251492</td>\n","      <td>-75.603350</td>\n","      <td>CHERRYWOOD CT &amp; DEAD END;  LOWER POTTSGROVE; S...</td>\n","      <td>NaN</td>\n","      <td>EMS: DIZZINESS</td>\n","      <td>2015-12-10 16:56:52</td>\n","      <td>LOWER POTTSGROVE</td>\n","      <td>CHERRYWOOD CT &amp; DEAD END</td>\n","      <td>1</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["    latitude  longitude                                        description  \\\n","0  40.297876 -75.581294  REINDEER CT & DEAD END;  NEW HANOVER; Station ...   \n","1  40.258061 -75.264680  BRIAR PATH & WHITEMARSH LN;  HATFIELD TOWNSHIP...   \n","2  40.121182 -75.351975  HAWS AVE; NORRISTOWN; 2015-12-10 @ 14:39:21-St...   \n","3  40.116153 -75.343513  AIRY ST & SWEDE ST;  NORRISTOWN; Station 308A;...   \n","4  40.251492 -75.603350  CHERRYWOOD CT & DEAD END;  LOWER POTTSGROVE; S...   \n","\n","   zipcode                    title            timestamp           township  \\\n","0  19525.0   EMS: BACK PAINS/INJURY  2015-12-10 17:10:52        NEW HANOVER   \n","1  19446.0  EMS: DIABETIC EMERGENCY  2015-12-10 17:29:21  HATFIELD TOWNSHIP   \n","2  19401.0      Fire: GAS-ODOR/LEAK  2015-12-10 14:39:21         NORRISTOWN   \n","3  19401.0   EMS: CARDIAC EMERGENCY  2015-12-10 16:47:36         NORRISTOWN   \n","4      NaN           EMS: DIZZINESS  2015-12-10 16:56:52   LOWER POTTSGROVE   \n","\n","                      address  e  \n","0      REINDEER CT & DEAD END  1  \n","1  BRIAR PATH & WHITEMARSH LN  1  \n","2                    HAWS AVE  1  \n","3          AIRY ST & SWEDE ST  1  \n","4    CHERRYWOOD CT & DEAD END  1  "]},"execution_count":2,"metadata":{},"output_type":"execute_result"}],"source":["data = pd.read_csv(\"/kaggle/input/montcoalert/911.csv\")\n","column = ['latitude', 'longitude', 'description', 'zipcode', 'title', 'timestamp'\n","          , 'township', 'address', 'e']\n","data.columns = column\n","data.head()"]},{"cell_type":"code","execution_count":3,"id":"d8f7d464","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:47:13.670877Z","iopub.status.busy":"2023-02-15T22:47:13.670538Z","iopub.status.idle":"2023-02-15T22:47:13.720501Z","shell.execute_reply":"2023-02-15T22:47:13.719682Z"},"papermill":{"duration":0.066931,"end_time":"2023-02-15T22:47:13.722223","exception":false,"start_time":"2023-02-15T22:47:13.655292","status":"completed"},"tags":[]},"outputs":[],"source":["data.drop('e', axis=1, inplace=True)"]},{"cell_type":"markdown","id":"26f75068","metadata":{"papermill":{"duration":0.013385,"end_time":"2023-02-15T22:47:13.749454","exception":false,"start_time":"2023-02-15T22:47:13.736069","status":"completed"},"tags":[]},"source":["# 🔍 Exploratory Data Analysis (EDA)\n","\n","Exploratory Data Analysis refers to the critical process of performing initial investigations on data so as to discover patterns, to spot anomalies, to test hypothesis and to check assumptions with the help of summary statistics and graphical representations."]},{"cell_type":"code","execution_count":4,"id":"f422520e","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:47:13.779362Z","iopub.status.busy":"2023-02-15T22:47:13.778727Z","iopub.status.idle":"2023-02-15T22:47:13.936032Z","shell.execute_reply":"2023-02-15T22:47:13.934747Z"},"papermill":{"duration":0.175057,"end_time":"2023-02-15T22:47:13.938552","exception":false,"start_time":"2023-02-15T22:47:13.763495","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["<class 'pandas.core.frame.DataFrame'>\n","RangeIndex: 663522 entries, 0 to 663521\n","Data columns (total 8 columns):\n"," #   Column       Non-Null Count   Dtype  \n","---  ------       --------------   -----  \n"," 0   latitude     663522 non-null  float64\n"," 1   longitude    663522 non-null  float64\n"," 2   description  663522 non-null  object \n"," 3   zipcode      583323 non-null  float64\n"," 4   title        663522 non-null  object \n"," 5   timestamp    663522 non-null  object \n"," 6   township     663229 non-null  object \n"," 7   address      663522 non-null  object \n","dtypes: float64(3), object(5)\n","memory usage: 40.5+ MB\n"]}],"source":["data.info()"]},{"cell_type":"markdown","id":"36437717","metadata":{"papermill":{"duration":0.014978,"end_time":"2023-02-15T22:47:13.968007","exception":false,"start_time":"2023-02-15T22:47:13.953029","status":"completed"},"tags":[]},"source":["### 📌 Note:\n","> - Data have float, integer, and object values. `timestamp` is a date.\n","> - Some variable columns have null/missing values."]},{"cell_type":"markdown","id":"ae46c772","metadata":{"papermill":{"duration":0.013777,"end_time":"2023-02-15T22:47:13.996054","exception":false,"start_time":"2023-02-15T22:47:13.982277","status":"completed"},"tags":[]},"source":["> - The `describe()` function in pandas is very handy in getting various summary statistics.This function returns the `count`, `mean`, `standard deviation`, `minimum` and `maximum` values and the quantiles of the data."]},{"cell_type":"code","execution_count":5,"id":"a7ed18d3","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:47:14.027697Z","iopub.status.busy":"2023-02-15T22:47:14.027303Z","iopub.status.idle":"2023-02-15T22:47:14.141813Z","shell.execute_reply":"2023-02-15T22:47:14.140366Z"},"papermill":{"duration":0.134018,"end_time":"2023-02-15T22:47:14.144198","exception":false,"start_time":"2023-02-15T22:47:14.01018","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>latitude</th>\n","      <th>longitude</th>\n","      <th>zipcode</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>count</th>\n","      <td>663522.00</td>\n","      <td>663522.00</td>\n","      <td>583323.00</td>\n","    </tr>\n","    <tr>\n","      <th>mean</th>\n","      <td>40.16</td>\n","      <td>-75.30</td>\n","      <td>19236.06</td>\n","    </tr>\n","    <tr>\n","      <th>std</th>\n","      <td>0.22</td>\n","      <td>1.67</td>\n","      <td>298.22</td>\n","    </tr>\n","    <tr>\n","      <th>min</th>\n","      <td>0.00</td>\n","      <td>-119.70</td>\n","      <td>1104.00</td>\n","    </tr>\n","    <tr>\n","      <th>25%</th>\n","      <td>40.10</td>\n","      <td>-75.39</td>\n","      <td>19038.00</td>\n","    </tr>\n","    <tr>\n","      <th>50%</th>\n","      <td>40.14</td>\n","      <td>-75.31</td>\n","      <td>19401.00</td>\n","    </tr>\n","    <tr>\n","      <th>75%</th>\n","      <td>40.23</td>\n","      <td>-75.21</td>\n","      <td>19446.00</td>\n","    </tr>\n","    <tr>\n","      <th>max</th>\n","      <td>51.34</td>\n","      <td>87.85</td>\n","      <td>77316.00</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["       latitude  longitude   zipcode\n","count 663522.00  663522.00 583323.00\n","mean      40.16     -75.30  19236.06\n","std        0.22       1.67    298.22\n","min        0.00    -119.70   1104.00\n","25%       40.10     -75.39  19038.00\n","50%       40.14     -75.31  19401.00\n","75%       40.23     -75.21  19446.00\n","max       51.34      87.85  77316.00"]},"execution_count":5,"metadata":{},"output_type":"execute_result"}],"source":["pd.set_option(\"display.float_format\", \"{:.2f}\".format)\n","data.describe()"]},{"cell_type":"markdown","id":"11365d6c","metadata":{"papermill":{"duration":0.013799,"end_time":"2023-02-15T22:47:14.172319","exception":false,"start_time":"2023-02-15T22:47:14.15852","status":"completed"},"tags":[]},"source":["### 📌 Note:\n","> - We can compare the `mean` with the `median (50%)`.\n","> - We can compare the `75%` with the `100%` to detect outliers."]},{"cell_type":"code","execution_count":6,"id":"f5375215","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:47:14.201808Z","iopub.status.busy":"2023-02-15T22:47:14.20146Z","iopub.status.idle":"2023-02-15T22:47:14.346792Z","shell.execute_reply":"2023-02-15T22:47:14.34578Z"},"papermill":{"duration":0.162613,"end_time":"2023-02-15T22:47:14.348908","exception":false,"start_time":"2023-02-15T22:47:14.186295","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["latitude           0\n","longitude          0\n","description        0\n","zipcode        80199\n","title              0\n","timestamp          0\n","township         293\n","address            0\n","dtype: int64"]},"execution_count":6,"metadata":{},"output_type":"execute_result"}],"source":["data.isna().sum()"]},{"cell_type":"markdown","id":"b5a9f21f","metadata":{"papermill":{"duration":0.014368,"end_time":"2023-02-15T22:47:14.37846","exception":false,"start_time":"2023-02-15T22:47:14.364092","status":"completed"},"tags":[]},"source":["---\n","\n","> - `zip`: has 52129 missing values (Zipcode)\n","> - `twp`: has 159 missing values (Township)"]},{"cell_type":"markdown","id":"43623cab","metadata":{"papermill":{"duration":0.014188,"end_time":"2023-02-15T22:47:14.407151","exception":false,"start_time":"2023-02-15T22:47:14.392963","status":"completed"},"tags":[]},"source":["# 📝 \"desc\" : Description of the Emergency Call"]},{"cell_type":"code","execution_count":7,"id":"993a1786","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:47:14.437835Z","iopub.status.busy":"2023-02-15T22:47:14.437446Z","iopub.status.idle":"2023-02-15T22:47:18.04985Z","shell.execute_reply":"2023-02-15T22:47:18.048593Z"},"papermill":{"duration":3.630309,"end_time":"2023-02-15T22:47:18.051841","exception":false,"start_time":"2023-02-15T22:47:14.421532","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>latitude</th>\n","      <th>longitude</th>\n","      <th>description</th>\n","      <th>zipcode</th>\n","      <th>title</th>\n","      <th>timestamp</th>\n","      <th>township</th>\n","      <th>address</th>\n","      <th>station_num</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>40.30</td>\n","      <td>-75.58</td>\n","      <td>REINDEER CT &amp; DEAD END;  NEW HANOVER; Station ...</td>\n","      <td>19525.00</td>\n","      <td>EMS: BACK PAINS/INJURY</td>\n","      <td>2015-12-10 17:10:52</td>\n","      <td>NEW HANOVER</td>\n","      <td>REINDEER CT &amp; DEAD END</td>\n","      <td>332</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>40.26</td>\n","      <td>-75.26</td>\n","      <td>BRIAR PATH &amp; WHITEMARSH LN;  HATFIELD TOWNSHIP...</td>\n","      <td>19446.00</td>\n","      <td>EMS: DIABETIC EMERGENCY</td>\n","      <td>2015-12-10 17:29:21</td>\n","      <td>HATFIELD TOWNSHIP</td>\n","      <td>BRIAR PATH &amp; WHITEMARSH LN</td>\n","      <td>345</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>40.12</td>\n","      <td>-75.35</td>\n","      <td>HAWS AVE; NORRISTOWN; 2015-12-10 @ 14:39:21-St...</td>\n","      <td>19401.00</td>\n","      <td>Fire: GAS-ODOR/LEAK</td>\n","      <td>2015-12-10 14:39:21</td>\n","      <td>NORRISTOWN</td>\n","      <td>HAWS AVE</td>\n","      <td>:STA27</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>40.12</td>\n","      <td>-75.34</td>\n","      <td>AIRY ST &amp; SWEDE ST;  NORRISTOWN; Station 308A;...</td>\n","      <td>19401.00</td>\n","      <td>EMS: CARDIAC EMERGENCY</td>\n","      <td>2015-12-10 16:47:36</td>\n","      <td>NORRISTOWN</td>\n","      <td>AIRY ST &amp; SWEDE ST</td>\n","      <td>308A</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>40.25</td>\n","      <td>-75.60</td>\n","      <td>CHERRYWOOD CT &amp; DEAD END;  LOWER POTTSGROVE; S...</td>\n","      <td>NaN</td>\n","      <td>EMS: DIZZINESS</td>\n","      <td>2015-12-10 16:56:52</td>\n","      <td>LOWER POTTSGROVE</td>\n","      <td>CHERRYWOOD CT &amp; DEAD END</td>\n","      <td>329</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["   latitude  longitude                                        description  \\\n","0     40.30     -75.58  REINDEER CT & DEAD END;  NEW HANOVER; Station ...   \n","1     40.26     -75.26  BRIAR PATH & WHITEMARSH LN;  HATFIELD TOWNSHIP...   \n","2     40.12     -75.35  HAWS AVE; NORRISTOWN; 2015-12-10 @ 14:39:21-St...   \n","3     40.12     -75.34  AIRY ST & SWEDE ST;  NORRISTOWN; Station 308A;...   \n","4     40.25     -75.60  CHERRYWOOD CT & DEAD END;  LOWER POTTSGROVE; S...   \n","\n","   zipcode                    title            timestamp           township  \\\n","0 19525.00   EMS: BACK PAINS/INJURY  2015-12-10 17:10:52        NEW HANOVER   \n","1 19446.00  EMS: DIABETIC EMERGENCY  2015-12-10 17:29:21  HATFIELD TOWNSHIP   \n","2 19401.00      Fire: GAS-ODOR/LEAK  2015-12-10 14:39:21         NORRISTOWN   \n","3 19401.00   EMS: CARDIAC EMERGENCY  2015-12-10 16:47:36         NORRISTOWN   \n","4      NaN           EMS: DIZZINESS  2015-12-10 16:56:52   LOWER POTTSGROVE   \n","\n","                      address station_num  \n","0      REINDEER CT & DEAD END         332  \n","1  BRIAR PATH & WHITEMARSH LN         345  \n","2                    HAWS AVE      :STA27  \n","3          AIRY ST & SWEDE ST        308A  \n","4    CHERRYWOOD CT & DEAD END         329  "]},"execution_count":7,"metadata":{},"output_type":"execute_result"}],"source":["data['station_num'] = data.description.str.split('Station', expand=True)[1].str.split(';', expand=True)[0]\n","data.head()"]},{"cell_type":"code","execution_count":8,"id":"e1794bbc","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:47:18.083155Z","iopub.status.busy":"2023-02-15T22:47:18.082202Z","iopub.status.idle":"2023-02-15T22:47:18.323956Z","shell.execute_reply":"2023-02-15T22:47:18.323129Z"},"papermill":{"duration":0.259703,"end_time":"2023-02-15T22:47:18.32586","exception":false,"start_time":"2023-02-15T22:47:18.066157","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":[" 308A    25346\n"," 329     21895\n"," 313     20325\n"," 381     15949\n"," 345     14504\n"," 308     13963\n"," 351     12705\n"," 345B    12165\n"," 317     11802\n"," 382     11169\n","Name: station_num, dtype: int64"]},"execution_count":8,"metadata":{},"output_type":"execute_result"}],"source":["data.station_num.str.replace(':', '').value_counts()[:10]"]},{"cell_type":"code","execution_count":9,"id":"bb2db27d","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:47:18.357816Z","iopub.status.busy":"2023-02-15T22:47:18.357477Z","iopub.status.idle":"2023-02-15T22:47:18.846851Z","shell.execute_reply":"2023-02-15T22:47:18.845671Z"},"papermill":{"duration":0.508045,"end_time":"2023-02-15T22:47:18.849047","exception":false,"start_time":"2023-02-15T22:47:18.341002","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["<BarContainer object of 10 artists>"]},"execution_count":9,"metadata":{},"output_type":"execute_result"},{"data":{"image/png":"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\n","text/plain":["<Figure size 1200x800 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["df = data.station_num.str.replace(':', '').value_counts()[:10]\n","plt.figure(figsize=(12, 8))\n","x = list(df.index)\n","y = list(df.values)\n","x.reverse()\n","y.reverse()\n","\n","plt.title(\"Most Called Stations\")\n","plt.ylabel(\"Station\")\n","plt.xlabel(\"Number of calls\")\n","\n","plt.barh(x, y)"]},{"cell_type":"markdown","id":"69a48d16","metadata":{"papermill":{"duration":0.015473,"end_time":"2023-02-15T22:47:18.880167","exception":false,"start_time":"2023-02-15T22:47:18.864694","status":"completed"},"tags":[]},"source":["### 📌 Note:\n","> - The `description` feature have a lot of important information (township, address, timestamp ...) but the station number is missing for the most of the emergency calls.\n","> - Most of the calls come from stations `308A`, `329`, `313`, `381`, and `317`"]},{"cell_type":"markdown","id":"f171591b","metadata":{"papermill":{"duration":0.01524,"end_time":"2023-02-15T22:47:18.910669","exception":false,"start_time":"2023-02-15T22:47:18.895429","status":"completed"},"tags":[]},"source":["# 📍 \"Zipcode\""]},{"cell_type":"code","execution_count":10,"id":"ac076241","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:47:18.943462Z","iopub.status.busy":"2023-02-15T22:47:18.942465Z","iopub.status.idle":"2023-02-15T22:47:18.962963Z","shell.execute_reply":"2023-02-15T22:47:18.960971Z"},"papermill":{"duration":0.038851,"end_time":"2023-02-15T22:47:18.964925","exception":false,"start_time":"2023-02-15T22:47:18.926074","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["204\n","[19525. 19446. 19401.    nan 19044. 19426. 19438. 19462. 19428. 19040.\n"," 19027. 18936. 18974. 19031. 19403. 19422. 19085. 18964. 19038. 19406.\n"," 19468. 19010. 19095. 19464. 19444. 19041. 19440. 19405. 19002. 19096.\n"," 19454. 19465. 19004. 19066. 19072. 18041. 19046. 19090. 19012. 19025.\n"," 19473. 18073. 18969. 18074. 19460. 19001. 18054. 19009. 19006. 19035.\n"," 19150. 19075. 19034. 19151. 19453. 19003. 18914. 19512. 18976. 19120.\n"," 18915. 18076. 19477. 19087. 18966. 19131. 19128. 19083. 19053. 19475.\n"," 18960. 19504. 18070. 19492. 18932. 19118. 18092. 19490. 19518. 18056.\n"," 19119. 19107. 17752. 19111. 18927. 19435. 18951. 19472. 19503. 19126.\n"," 19505. 19423. 19138. 36107. 18036. 19116. 19139. 19129. 19115. 19355.\n"," 77316. 19457. 19082. 19127. 19443. 17555. 19520. 19063. 19020. 19404.\n"," 19382. 19474. 19057. 19073. 19121. 18958. 19026. 19018. 19047. 19064.\n"," 19602. 19486. 19348. 18051. 18049. 19333. 19144. 18101. 19607. 19450.\n"," 19380. 17506.  8361. 18940. 18104.  7203. 19030.  8033. 19104. 17545.\n","  8832. 19021. 19106.  8065. 15301. 18911. 18902. 18944.  3366. 19545.\n"," 19390. 19140. 18901. 19601. 19341. 19301. 19425. 23005. 19054. 18040.\n"," 18102. 17603. 18080. 17901. 19153. 21701. 18103. 19134. 19135.  8502.\n"," 19122. 19320.  3103. 19610. 19102. 17331. 19050. 19023. 17810.  8077.\n","  8628. 19605. 19437. 19312. 19147. 19456. 19604. 17507.  1104. 18042.\n"," 18011. 15090. 19543. 19124. 19609. 19445. 19310. 19070.  7081.  7726.\n"," 17566. 19008. 19365. 19103. 18938.]\n"]}],"source":["print(data.zipcode.nunique())\n","print(data.zipcode.unique())"]},{"cell_type":"code","execution_count":11,"id":"21ca7855","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:47:18.99927Z","iopub.status.busy":"2023-02-15T22:47:18.998065Z","iopub.status.idle":"2023-02-15T22:47:19.017596Z","shell.execute_reply":"2023-02-15T22:47:19.016352Z"},"papermill":{"duration":0.039143,"end_time":"2023-02-15T22:47:19.019429","exception":false,"start_time":"2023-02-15T22:47:18.980286","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["19401.00    45606\n","19464.00    43910\n","19403.00    34888\n","19446.00    32270\n","19406.00    22464\n","            ...  \n","77316.00        1\n","19134.00        1\n","19135.00        1\n","8502.00         1\n","18938.00        1\n","Name: zipcode, Length: 204, dtype: int64"]},"execution_count":11,"metadata":{},"output_type":"execute_result"}],"source":["data.zipcode.value_counts()"]},{"cell_type":"markdown","id":"93a257f4","metadata":{"papermill":{"duration":0.016139,"end_time":"2023-02-15T22:47:19.052248","exception":false,"start_time":"2023-02-15T22:47:19.036109","status":"completed"},"tags":[]},"source":["❓ **What are the top 5 zipcodes for 911 calls?**"]},{"cell_type":"code","execution_count":12,"id":"7bf09a63","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:47:19.086526Z","iopub.status.busy":"2023-02-15T22:47:19.085375Z","iopub.status.idle":"2023-02-15T22:47:19.101963Z","shell.execute_reply":"2023-02-15T22:47:19.101023Z"},"papermill":{"duration":0.035515,"end_time":"2023-02-15T22:47:19.103944","exception":false,"start_time":"2023-02-15T22:47:19.068429","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["19401.00    45606\n","19464.00    43910\n","19403.00    34888\n","19446.00    32270\n","19406.00    22464\n","Name: zipcode, dtype: int64"]},"execution_count":12,"metadata":{},"output_type":"execute_result"}],"source":["data.zipcode.value_counts().head()"]},{"cell_type":"markdown","id":"b0c727e0","metadata":{"papermill":{"duration":0.015794,"end_time":"2023-02-15T22:47:19.135723","exception":false,"start_time":"2023-02-15T22:47:19.119929","status":"completed"},"tags":[]},"source":["❓ **What are the top 5 townships (twp) for 911 calls?**"]},{"cell_type":"code","execution_count":13,"id":"5312c53c","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:47:19.169232Z","iopub.status.busy":"2023-02-15T22:47:19.16868Z","iopub.status.idle":"2023-02-15T22:47:19.20793Z","shell.execute_reply":"2023-02-15T22:47:19.207018Z"},"papermill":{"duration":0.058277,"end_time":"2023-02-15T22:47:19.209809","exception":false,"start_time":"2023-02-15T22:47:19.151532","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["LOWER MERION    55490\n","ABINGTON        39947\n","NORRISTOWN      37633\n","UPPER MERION    36010\n","CHELTENHAM      30574\n","Name: township, dtype: int64"]},"execution_count":13,"metadata":{},"output_type":"execute_result"}],"source":["data.township.value_counts().head()"]},{"cell_type":"markdown","id":"b70e60c5","metadata":{"papermill":{"duration":0.016095,"end_time":"2023-02-15T22:47:19.241891","exception":false,"start_time":"2023-02-15T22:47:19.225796","status":"completed"},"tags":[]},"source":["❓ **Take a look at the 'title' column, how many unique title codes are there?**"]},{"cell_type":"code","execution_count":14,"id":"69422526","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:47:19.275747Z","iopub.status.busy":"2023-02-15T22:47:19.275311Z","iopub.status.idle":"2023-02-15T22:47:19.282369Z","shell.execute_reply":"2023-02-15T22:47:19.28153Z"},"papermill":{"duration":0.026753,"end_time":"2023-02-15T22:47:19.284282","exception":false,"start_time":"2023-02-15T22:47:19.257529","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["0     EMS: BACK PAINS/INJURY\n","1    EMS: DIABETIC EMERGENCY\n","2        Fire: GAS-ODOR/LEAK\n","3     EMS: CARDIAC EMERGENCY\n","4             EMS: DIZZINESS\n","Name: title, dtype: object"]},"execution_count":14,"metadata":{},"output_type":"execute_result"}],"source":["data.title.head()"]},{"cell_type":"code","execution_count":15,"id":"131ccf06","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:47:19.318849Z","iopub.status.busy":"2023-02-15T22:47:19.318462Z","iopub.status.idle":"2023-02-15T22:47:19.37678Z","shell.execute_reply":"2023-02-15T22:47:19.375698Z"},"papermill":{"duration":0.078197,"end_time":"2023-02-15T22:47:19.378522","exception":false,"start_time":"2023-02-15T22:47:19.300325","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["148"]},"execution_count":15,"metadata":{},"output_type":"execute_result"}],"source":["data.title.nunique()"]},{"cell_type":"markdown","id":"8e988481","metadata":{"papermill":{"duration":0.015501,"end_time":"2023-02-15T22:47:19.410044","exception":false,"start_time":"2023-02-15T22:47:19.394543","status":"completed"},"tags":[]},"source":["#  Creating new features\n","\n","**In the titles column there are \"Reasons/Departments\" specified before the title code. These are `EMS`, `Fire`, and `Traffic`. Use .apply() with a custom lambda expression to create a new column called \"Reason\" that contains this string value.** \n","\n","**For example, if the title column value is EMS: BACK PAINS/INJURY , the Reason column value would be EMS.**"]},{"cell_type":"code","execution_count":16,"id":"8039e6de","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:47:19.444087Z","iopub.status.busy":"2023-02-15T22:47:19.443478Z","iopub.status.idle":"2023-02-15T22:47:19.447589Z","shell.execute_reply":"2023-02-15T22:47:19.446495Z"},"papermill":{"duration":0.02398,"end_time":"2023-02-15T22:47:19.449976","exception":false,"start_time":"2023-02-15T22:47:19.425996","status":"completed"},"tags":[]},"outputs":[],"source":["# data['Reason_category'] = data.title.apply(lambda title: title.split(': ')[0])"]},{"cell_type":"markdown","id":"2c1e16cb","metadata":{"papermill":{"duration":0.01616,"end_time":"2023-02-15T22:47:19.482453","exception":false,"start_time":"2023-02-15T22:47:19.466293","status":"completed"},"tags":[]},"source":["**What is the most common Reason for a 911 call based off of this new column?**"]},{"cell_type":"code","execution_count":17,"id":"9cffea17","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:47:19.517574Z","iopub.status.busy":"2023-02-15T22:47:19.517131Z","iopub.status.idle":"2023-02-15T22:47:23.785526Z","shell.execute_reply":"2023-02-15T22:47:23.784703Z"},"papermill":{"duration":4.288374,"end_time":"2023-02-15T22:47:23.787893","exception":false,"start_time":"2023-02-15T22:47:19.499519","status":"completed"},"tags":[]},"outputs":[],"source":["data['Reason_category'] = data.title.str.split(':', expand=True)[0]\n","data['Reason'] = data.title.str.split(':', expand=True)[1].str.replace(' -', '')"]},{"cell_type":"code","execution_count":18,"id":"f7501fae","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:47:23.822961Z","iopub.status.busy":"2023-02-15T22:47:23.82238Z","iopub.status.idle":"2023-02-15T22:47:24.096377Z","shell.execute_reply":"2023-02-15T22:47:24.095255Z"},"papermill":{"duration":0.294715,"end_time":"2023-02-15T22:47:24.099286","exception":false,"start_time":"2023-02-15T22:47:23.804571","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":[" VEHICLE ACCIDENT         184749\n"," DISABLED VEHICLE          47917\n"," FIRE ALARM                38452\n"," FALL VICTIM               34683\n"," RESPIRATORY EMERGENCY     34250\n","                           ...  \n"," ARMED SUBJECT                 2\n"," ANIMAL COMPLAINT              1\n"," PRISONER IN CUSTODY           1\n"," HIT + RUN                     1\n"," FOOT PATROL                   1\n","Name: Reason, Length: 88, dtype: int64\n","88\n"]}],"source":["print(data.Reason.value_counts())\n","print(data.Reason.nunique())"]},{"cell_type":"code","execution_count":19,"id":"52a28f39","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:47:24.134249Z","iopub.status.busy":"2023-02-15T22:47:24.133887Z","iopub.status.idle":"2023-02-15T22:47:24.245637Z","shell.execute_reply":"2023-02-15T22:47:24.244526Z"},"papermill":{"duration":0.132215,"end_time":"2023-02-15T22:47:24.248181","exception":false,"start_time":"2023-02-15T22:47:24.115966","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["EMS        332692\n","Traffic    230208\n","Fire       100622\n","Name: Reason_category, dtype: int64\n","3\n"]}],"source":["print(data.Reason_category.value_counts())\n","print(data.Reason_category.nunique())"]},{"cell_type":"code","execution_count":20,"id":"3d7feb0f","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:47:24.282518Z","iopub.status.busy":"2023-02-15T22:47:24.282104Z","iopub.status.idle":"2023-02-15T22:47:24.705434Z","shell.execute_reply":"2023-02-15T22:47:24.704364Z"},"papermill":{"duration":0.442579,"end_time":"2023-02-15T22:47:24.707354","exception":false,"start_time":"2023-02-15T22:47:24.264775","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["<BarContainer object of 10 artists>"]},"execution_count":20,"metadata":{},"output_type":"execute_result"},{"data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAABVIAAALuCAYAAABM7O3+AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/NK7nSAAAACXBIWXMAAA9hAAAPYQGoP6dpAADoTElEQVR4nOzdeVhV1f7H8Q+jCKigKE6IczjPmLPmLCIOOWVdu9ktm8u8mtYt7WqDaYOVlpdKM5xHRjUHHEhExTElyxEVRVFAVEDg/P7w4fxEzuGgTGrv1/P4XDh77bW/+5wFz+3D2mtZJSYmGgQAAAAAAAAAMMu6pAsAAAAAAAAAgAcdQSoAAAAAAAAAWECQCgAAAAAAAAAWEKQCAAAAAAAAgAUEqQAAAAAAAABgAUEqAAAAAAAAAFhAkAoAAAAAAAAAFhCkAgAAAAAAAIAFBKkAAAAAAAAAYIFtSRcAAAAAAMDDbseOHVq+fLmOHj2qa9euKTMzU5IUFRVVwpXl39SpUxUSEqIqVapo7dq1uY77+fkpLi5OPj4++uCDD0qgQgAoWQSpAAAARWzv3r166aWXjN+XKlVKYWFhcnZ2tnjukCFDFBsba/x+4sSJGjJkSJHUCQC4PytWrNCMGTNKugwAQBEjSAUAAChmaWlp2rRpk/z8/PJsd/DgwRwh6oPK0gwmAHiUpaamas6cOZKkGjVq6KWXXpKHh4dsbGxKuDIAQGEjSAUAAChGpUqVUlpamkJDQy0GqSEhITnOAQA8eI4cOaKUlBRJ0htvvKFOnTqVcEUAgKLCZlMAAADFqHPnzpKk/fv36/z582bbpaena9OmTZKkLl26FEttAIB7d+nSJePXnp6eJVgJAKCoEaQCAAAUoxYtWqhKlSoyGAwKCwsz227btm1KTk6Wvb29unfvXowVAgDuxa1bt4xf29ry0CcAPMr4LQ8AAFCMrKys1Lt3b82fP19hYWEaM2aMyXahoaGSpI4dO6ps2bL56ttgMGjjxo1at26djh49qsTERDk6OsrT01NdunTR0KFDVbp0abPnp6SkaMWKFdqxY4dOnTql69evy8nJSeXLl1e1atXk7e2trl27qkqVKpKkefPmyd/f33h+XFycvL29c/V7vztWp6Wlae3atdq6dauOHz+u5ORkOTs7q06dOurWrZsGDhwoe3t7k+eOHTtW0dHRatmypb777jvFxsbql19+0a5du5SQkKDy5curdevWev755433I0nHjx9XQECAoqOjdfnyZbm4uKhDhw564YUXVKFCBYs179mzR8HBwTpw4IAuX74sGxsbubu7q02bNho5cqSqVatm8rzg4GB9+OGHkqQ1a9aoYsWKWrVqlTZs2KDY2FglJSVp+PDhGjdunPGc1NRUBQQEaNOmTTp79qzs7e1Vq1Yt+fr6ytfXV9HR0cZNzubOnatWrVqZrTs8PFzr16/X4cOHdfXqVdnZ2alatWpq3769hg8fbvbe7xwDUVFRSk9P1/Lly7V+/XrFxsYqKytL1atXV69evTRixAiVKlUqz/fPYDBoy5Yt2rhxo37//XdduXJFdnZ2qlSpkurWravu3burffv2xn6eeeYZ/fHHH6pZs6aWLVuWZ9/p6enq16+fkpOT1alTJ82aNSvP9ne7e7fyP/74Q8uWLdPevXuVkJBgXPu4TJkyxnMKMoazsrK0d+9e/fbbbzp06JBOnz6tlJQUlS5dWlWqVJG3t7eGDx+uypUr51n3H3/8oRUrVmj//v2Kj49XRkaGXFxc5OrqKi8vL7Vt21ZdunQxW8ehQ4e0atUq7du3TwkJCbK1tZW7u7vatm2rkSNHmr3++fPnNXDgQEnS+++/r/79+ysqKkrLli3TkSNHlJSUJFdXV7Vp00bPPvtsnjM57/V30/24ePGilixZosjISF24cEEZGRkqX768WrRoocGDB6tp06a5zsn+PXOn7HvOln3v9yopKUmrVq3Szp07debMGSUnJ8vV1VXu7u5q1aqVunfvLi8vrxznFNaYKYj09HStWbNGW7Zs0YkTJ5ScnCxHR0e5uLiocuXKatOmjbp06aJatWoVWQ0AUJQIUgEAAIqZj4+P5s+frzNnzujw4cNq3LhxjuNXr17Vzp07JUn9+vXLV5/Xrl3Tv//971z/UZ+cnKxDhw7p0KFDWrZsmT7//HPVr18/1/mnTp3Sq6++qvj4+FznJycn69SpU4qIiFBCQoJeffXVe7nd+xITE6MJEybowoULOV5PTEzU3r17tXfvXq1YsUKff/65qlevnmdfUVFRmjhxoq5fv258LS4uTkFBQYqIiNB3332nmjVrav369frvf/+r9PR0Y7v4+HitXr1akZGR8vf3V8WKFU1eIzU1VVOnTjUux3CnkydP6uTJk1q9erUmTpyoAQMG5FlvUlKS3nnnHcXExJhtc/HiRb388ss5NiNLTU3VgQMHdODAAYWHh2v48OF5Xke6/X6+8847ucZNenq6jh07pmPHjmn58uWaPn262rdvn2dfCQkJevPNN/XHH3/keP3PP//Un3/+qe3bt+ubb76Rg4OD2Xt655139Pvvv+d4PS0tTSkpKTpx4oQ2bNiQI5jy8/PTjBkzdOrUKR08eNBk2JUtPDxcycnJkmTxM7Bk9erV+uyzz5SRkWG2TUHHsL+/f44/VGRLSUkxvqcrV67U1KlT1a1bN5M1LF26VF988YWysrJyvH7p0iVdunRJx44dU2BgoJYtW6aaNWvmaGMwGPTFF19oyZIlOV5PS0vTiRMndOLECa1atUqTJ09W3759zb4P2ebMmaP58+fneC0+Pl4hISHasmWLvvzySzVv3jzXecXxu2ndunWaPn16rrWo4+LiFBcXp9DQUA0bNkzjxo2TtXXRP9S5adMmTZs2LcfvLOn/P7fDhw9rwYIFuf5IVRhjpiAuX76s1157TcePH8/x+rVr13Tt2jXFxsZq9+7d+vPPPzV9+vRCvz4AFAeCVAAAgGLm6empRo0a6ffff1dYWFiuIHXdunXKzMyUi4uL2rdvrwMHDuTZX2ZmpsaNG2ds16RJEw0fPlweHh5KTEzUunXrFBYWpvj4eL388ssKCAiQu7t7jj4++OADxcfHy8bGRn5+fmrfvr3c3Nwk3f6P9yNHjmjbtm05znnyySfVvXt3zZ07V9u2bVPFihU1e/bsgr49OnHihMaOHasbN26odOnSGjJkiJo0aSJ3d3ddv35dO3fu1PLly3Xq1Cm98cYbWrBggZydnU32denSJU2ePFnOzs566aWX1KhRI926dUubN2/W0qVLdeXKFU2fPl1vvfWWpkyZoho1auipp55SvXr1dPPmTQUGBiosLExxcXH68ssvTf7Hf1ZWlsaPH28MNdq2bas+ffqoatWqKlWqlGJiYrRkyRKdOnVK06dPl6ura56b0fz3v//V8ePH1adPH/Xs2VMVK1bUpUuXlJmZKUnKyMjQW2+9ZQxR27dvr4EDB8rd3V3x8fFas2aNduzYocTExDzf59TUVL300ks6fvy4rKys1KNHD3Xq1ElVq1aVJB0+fFiLFi1SfHy8JkyYIH9//1wz4O40ceJEHT9+XE8++aQ6d+4sV1dXnTt3TgsXLtTvv/+ugwcP6scff9TLL7+c69zExET961//MoaOzZo1k6+vr2rVqiUbGxtdvHhR+/btyxVU9+nTR7Nnz1ZqaqoCAwPzDFKDgoIkSeXLl1eHDh3yfG/ycuTIEa1bt04VK1bUqFGj1LBhQxkMBh06dEh2dnaSCmcMZ2Zmys3NTV27dlWTJk1UrVo12dvb6+LFizp48KBWrlypGzdu6P3339fPP/+ca4bfn3/+aQxRq1SpoqFDh6p+/fpycXHRzZs3FRsbq+jo6Fw/19nmzp1rDFErVaqk0aNHq2HDhkpPT9euXbsUEBCgtLQ0TZkyRWXKlFHHjh3Nvmdr1qzRwYMH1axZMw0ZMkQ1atRQamqqNm3apBUrVujGjRv64IMPtHLlylyPxt/P76Z7sXPnTn3wwQcyGAwqVaqURo4cqXbt2sne3l5Hjx7VggULdPHiRS1btkz29vZ6/fXXjef+5z//UWpqqrZu3arvvvtOkjR79uwcf3CpVKnSPdXz66+/6r333pPBYJCdnZ18fX3VoUMHVaxYUWlpaTp58qR+++037dixI9e5BR0zBTVz5kxjiNqrVy898cQTqlixomxtbXXlyhXFxMQoIiJCVlZWhXpdAChOBKkAAAAloF+/fvr999+1YcMGvfXWWznCg+zH+nv16pWv9fZWr15tDFGfeOIJffTRRzlmTbVr105NmjTRjBkzlJycrM8//1yffvqp8fi5c+d09OhRSdKbb75pciZjly5d9NJLLykpKcn4Wvny5VW+fHnjo8y2traqU6fOvbwNuRgMBv3nP//RjRs3VLt2bX3zzTfG0CRbmzZt1KNHD40dO9b4yP7YsWNN9hcbGysPDw/5+/vL1dXV+Hrz5s1la2urX375RQcOHNBbb72lxo0b6+uvv84xY7JVq1bGjb82b96sq1ev5uhHkpYsWaKoqCjZ2Njo448/VteuXXMcb9iwofr166c333xT0dHRmjlzptq1a2f2s/3rr7/0zjvvaPDgwcbX7gwwV6xYob/++kuSNHjwYL3zzjvGYw0aNFCXLl302Wefafny5Sb7z/btt9/q+PHjcnR01OzZs3OFkE2bNpWPj49eeOEFnTx5UrNmzdL//vc/s/39/vvv+uqrr3Is7/DYY4+pffv2Gj16tHFW7gsvvJDr3j/99FNjiPrCCy/o+eefz3G8YcOG6tatm1577TXjrFJJcnZ2Vo8ePRQcHKxNmzbp7bffNrl8xYULF7R7925Jt3/2CrKO5cmTJ1WrVi3NmzdP5cqVM76e/f4V1hj28/PTv/71r1y1enl5qUuXLho2bJjGjBmj+Ph4zZ8/X1OnTs3RbvPmzcrKylLp0qX1ww8/5KqhWbNm6t+/v1JTU3MFW8ePH9fPP/8sSfLw8NAPP/wgFxcX4/EWLVqoc+fOGjt2rFJTU/XRRx9pzZo1ZpcHOHjwoHx9ffXuu+/m+N3UsmVLubq6at68eYqLi9OOHTty/Pzc7++m/MrIyND06dONIeqcOXPUpEkT4/FGjRqpR48eeuGFF3Tq1CktWrRIffr0Mc7qz16qI7tGSapRo4bxjxH3KvsPOwaDQeXKldPXX3+d648XzZo108CBA3Xx4sVc5xd0zBREWlqaMdB+6qmn9Oabb+Zq06FDB40ZM8biH3kA4EHGZlMAAAAloGfPnrK1tVVSUpIiIiKMrx8/ftz4aHR+H+vPDsycnZ01efJkk4+ePvnkk2rdurUkaevWrTkeN05ISDB+3bJlyzyvdWdwVBQiIiL0559/Srq9tuDd4U+2hg0b6sknn5T0/zMNzRk/fnyu8FOShgwZYvw6MTFRkydPNvnYeXa7zMxMHTp0KMexjIwMBQQESJIGDRqUK0TN5uDgoAkTJki6/bjw3r17zdbbqlWrHCHq3VatWiXpdpBtKqyQpNdff93sMgTS7ftds2aNJGnMmDFmZ3KWK1fOOAPvwIEDOnPmjNk+hw4danKNXAcHBw0bNkzS7WULTp48meP4mTNntHnzZkm3Q/+7Q9Q72dnZ5Vqv1c/PT5J0/fp1k0srSLfXoM1+vL2gj/VLt2ffmvtZKKwxXLVq1TwDX3d3dz399NOSbm9OZzAYchzP/rmuUaOG2Rqk25/P3WvXrly50vh+TZo0KUeIemf9o0ePlnT7ke7sz9CUChUqaMKECSZ/N40YMcJ4n/v27TN5D1LR/G4KDw83LhnwzDPP5AhRs7m4uGjSpEmSbs8+t/QHioJYunSpbty4IUmaMGFCnjPA736qQCr4mCmI5ORk41IXlj4rU+MJAB4WBKkAAAAlIPuxfUkKCwszvh4SEiJJqlWrlho2bGixn8uXLxuDqW7duuW5MdWgQYMk3Q4D9uzZY3z9zpAlODi4UP/j+l5t3bpVklSlShWL99+iRQtJtx/vvXsdymxlypTR448/bvJYtWrV5OTkJEmqW7eu2cdc69WrZ/z63LlzOY79/vvvunTpkiSpe/fuedZbu3ZtY9hzdyB7pz59+pg9dunSJZ06dUrS7c/b3HqjpUqVyrOeyMhI43qQlurOfp+lvOvOa53MBg0aGL+++z2MiIgwjrmRI0fmWYspzZo1M352gYGBuY4bDAZjUNmsWbNca4HeK3d39zyDosIew9lSUlJ07tw5HT9+3Pgv+/O/fv26zp8/n6N99s/1yZMnc607a8muXbsk3f4Zyf4DjCnZIfad55jyxBNPmN1ozNnZWTVq1JCUe2wU9e+mO9cYvfNe7taiRQvjuLnfzfPyI/tx/UqVKln8ucyPex0zBVGuXDnj0hahoaF5rh8MAA8zHu0HAAAoIT4+Ptq2bZt27Nhh3M17/fr1kvIOpe6U/Yi3JJOzqe5051qsd55XtWpVtWzZUtHR0Vq8eLEiIyPVrVs3tWzZUo0bN5ajo+O93FaBZD8iGxcXZ3J2ozkJCQkmd6L28PDIcz0+Z2dnXb9+3RjkmHLnLuzZs8XurleSXnrppXuq15w7g9u73fm55TVbTcoZXt7tyJEjxq/v3mU8L3nVndd6i3fOFrz7PczeVMvKykrNmjXLdy138vPz05dffqn9+/frzJkzOT7P3bt3Ky4uTlLhzEatW7dunscLcwyfP39eAQEB2r59u8WgNTEx0fiouST17t1bCxYsUHp6up5//nk9/vjj6tChg5o1a6Y6deqY3TQpPT3duP7u3es3383NzU1VqlRRXFxcrg2G7mRpLc7sPwDdPTaK+ndTds0VK1Y0OcPzTo0bN9apU6cUFxen69evG/8IU1gyMjKM9TRt2vS+N7UqyJgpCHt7e/Xq1UshISHavHmzBg8erO7du6tly5Zq1qxZnn/kA4CHCUEqAABACenYsaPKli2r5ORkbdy4UVWqVNGlS5dkbW2d7yD1zvUiTT2+fqc7H4m+8zxJmjZtmiZPnqz9+/cbd5n/8ccfZWNjowYNGqhHjx7y8/Mr9PDgblevXr2v81JTU02+bm7GZrbssCKvdncGGtkbPmW7cuVKfkvMwVy9kvIMHK5du2b82tLnndfjs4X9Pkt5v4d3htl37yCfvV6ik5OTyfVN86Nfv36aM2eO0tPTFRwcnGNDq+zZqI6OjurRo8d99X8nS4FQYb23v/32m95555083/M73b3jvKenpz766CNNmzbNuIRI9jIiZcuWVZs2bTRgwAC1a9cux3n38jtFuv17JS4uLs81SvP7c3j32JCK9ndT9r3m9z7vPK+wfxcmJSUZ7z+vpRjyUtAxU1Djx4/X9evXFR4ergsXLiggIEABAQGysrJS3bp19cQTT2jw4MH5er8B4EFFkAoAAFBC7Ozs1LNnT61cuVKhoaGqUqWKpNvry1maHWVKQXZCdnNz07x587R3715t2bJF0dHROnHihDIzM3X48GEdPnxYCxcu1GeffWZxllpBZAeVjRs31rvvvpvv8+53c5eCujP4+eabb3Kt32nOnbNc75bfmWgF+byz67axsdHChQvz3VdRBiAFuR8XFxd16dJFv/76q0JDQ/Xiiy/KxsZG165dU3h4uCSpR48e9x3U3snS51MYYzgxMdG4I7yjo6NGjRqlxx9/XNWrV5ezs7PxEerdu3frlVdekSSTj7136dJFrVu31qZNm7Rz507t379fCQkJSk5O1qZNm7Rp0yZ16NBBH3/8scmw80HYXb04fjfl5z5LcsmT/CisMVMQTk5OmjFjho4ePaqNGzcqOjpaMTExyszM1J9//qk///xTv/zyiz788EN16tSpUK8NAMWFIBUAAKAE9evXTytXrtTBgweNjzjnd5MpKefsOEuzI+98LNvcrLpWrVqpVatWkm7PftyzZ4+Cg4O1fft2JSQkaOLEiVq1apXZ9Q4LysXFRVeuXFFCQoLq1KlTJNcoTHfO+rS1tS3ymu8MYC193nntjJ1dd2ZmppycnIwhfknIriUlJUU3b96877DTz89Pv/76q+Lj4xUZGakOHTpo/fr1xll3hfFYf34UxhjetGmTcfbxjBkzzC4RcPfMclOcnJw0YMAA4/2fOXNGO3bs0PLly3Xu3DlFRERo7ty5euuttyTd2+8U6f9/rxT1RnRF8bsp+17zc593timKx9TLlSsna2trZWVl6fLly/d8fmGOmYJq0KCBcWmRmzdvav/+/Vq3bp3Wr1+v69ev691339WqVavue+YtAJQkNpsCAAAoQU2aNDGu55ieni4HBwc98cQT+T7/zvUaDx8+nGfbO49bWudRuh3adevWTbNmzTJuVHXp0iUdOHAgR7vCnLX22GOPSbq9vuTp06cLrd+iUr9+fePXO3fuLPLr1a5d2/h1dvBuzp3rt96tuOvOS/ZarwaDQfv377/vftq0aaPq1atL+v/H+bM3n6pZs6aaNm1asELzqTDG8IkTJyTdDuzyWmc1r8/YnBo1auipp57SggULVL58eUm3Q7hs9vb28vDwkJRzLV1TEhISjOvPFucfPvL7u8mS7JovXbqkixcv5tk2e8OuKlWqFMkSJ3f+IebAgQMmlznIS1GOmYIoXbq02rVrp6lTp2rs2LGSbi9jkb2xFgA8bAhSAQAASlj//v1lb28ve3t79ejR4542UHFzczNu5BIeHq6UlBSzbdeuXSvp9qPJee3Ebcqd7e+e6Whvby/pdhBcUF26dDF+vWDBggL3V9SaN29unFG5Zs2aPNeJLAzu7u7G4H3Lli1m10JMS0vLEY7drUOHDsZHfZcsWVIon9396tChgzGMX7JkyX33Y2VlZZx1uX37du3evdsYNhfXbFSpcMZw9vIA6enpZgO11NRUhYWF3Vf/0u3ALTvEvvtnum3btpKk2NhYRUdHm+0j+3fKnecUt7x+N1lyZ+CYHb6bcuDAAZ08eTLXOYUt+3H3S5cuaePGjfd0bnGMmYJq06aN8eui/l0JAEWFIBUAAKCEPfvss9qxY4d27Nih999//57PHzp0qKTbj2x+8sknJte9W7VqlaKioiTdDnru3B382LFj+uOPP/K8Rva5Uu71SLMfz7x69aquX79+z/XfqWvXrsZZWcHBwVq6dGme7c+dO6f169cX6JoFYW9vr2eeeUbS7WDgnXfeyTPMTk9P1/Llywu0yUv2DLwrV67oq6++Mtlm9uzZunTpktk+3Nzc5OfnJ0k6deqUPvzwQ926dcts+5SUFC1btuy+a85LjRo11K1bN0m3Z8f6+/ubbXvr1q08H8Pu37+/bGxsdOvWLePPkq2t7T0tl1FQhTGGs2eEpqammgzUMjMzNW3atDw/4y1btuT5GHdSUpIxaL77Z3rIkCHGtWA//fRTk/3ExMQYg2I3N7d7mkmfXwX93WRJ165dValSJUnSwoULTc7yTk5O1kcffSTpdlif/fu2KAwdOtT4h7TPPvssz3u/ewZtYYyZgjh37pz27t2bZ5vIyEjj1yW1rjUAFBRrpAIAADzkBg0apPXr1+vAgQPasGGDLl68qGHDhsnDw0NXr17Vhg0bFBoaKun2LLRx48blOP/YsWP68MMP5eXlpU6dOsnLy0sVKlSQwWDQhQsXtH79euOGPV5eXmrUqFGO87Mfmc7KytInn3yiYcOG5Vg7NPs/8PPD2tpaH330kcaMGaOUlBTNmjVL4eHh6tu3r2rVqiU7OzslJSXpr7/+0s6dO7Vnzx517dpVvXv3vo93rnCMGjVKe/fu1W+//aa9e/dq2LBhGjx4sJo1a6Zy5crp5s2bio2N1f79+xUeHq7k5GT5+Pjc9/WGDRum4OBgHT9+XCtXrlRcXJwGDx6sSpUqKT4+XqtXr1ZERIQaNWpkfBzZ1PILr7/+ug4dOqQ//vhDGzZs0NG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size 1200x800 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["df = data.Reason.value_counts()[:10]\n","plt.figure(figsize=(12, 8))\n","x = list(df.index)\n","y = list(df.values)\n","x.reverse()\n","y.reverse()\n","\n","plt.title(\"Most emergency reasons of calls\")\n","plt.ylabel(\"Reason\")\n","plt.xlabel(\"Number of calls\")\n","\n","plt.barh(x, y)"]},{"cell_type":"markdown","id":"9ffcddda","metadata":{"papermill":{"duration":0.016636,"end_time":"2023-02-15T22:47:24.74124","exception":false,"start_time":"2023-02-15T22:47:24.724604","status":"completed"},"tags":[]},"source":["**Now use seaborn to create a countplot of 911 calls by Reason.**"]},{"cell_type":"code","execution_count":21,"id":"ac8eef6e","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:47:24.776941Z","iopub.status.busy":"2023-02-15T22:47:24.776591Z","iopub.status.idle":"2023-02-15T22:47:25.660978Z","shell.execute_reply":"2023-02-15T22:47:25.659961Z"},"papermill":{"duration":0.905161,"end_time":"2023-02-15T22:47:25.663448","exception":false,"start_time":"2023-02-15T22:47:24.758287","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["<AxesSubplot:xlabel='Reason_category', ylabel='count'>"]},"execution_count":21,"metadata":{},"output_type":"execute_result"},{"data":{"image/png":"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\n","text/plain":["<Figure size 1000x800 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["plt.figure(figsize=(10, 8))\n","sns.countplot(x=data.Reason_category, data=data)"]},{"cell_type":"markdown","id":"4bd411ff","metadata":{"papermill":{"duration":0.017322,"end_time":"2023-02-15T22:47:25.698968","exception":false,"start_time":"2023-02-15T22:47:25.681646","status":"completed"},"tags":[]},"source":["**Now let us begin to focus on time information. What is the data type of the objects in the timeStamp column?**"]},{"cell_type":"code","execution_count":22,"id":"f4923c14","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:47:25.735621Z","iopub.status.busy":"2023-02-15T22:47:25.735269Z","iopub.status.idle":"2023-02-15T22:47:25.750013Z","shell.execute_reply":"2023-02-15T22:47:25.74903Z"},"papermill":{"duration":0.035712,"end_time":"2023-02-15T22:47:25.752146","exception":false,"start_time":"2023-02-15T22:47:25.716434","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>latitude</th>\n","      <th>longitude</th>\n","      <th>description</th>\n","      <th>zipcode</th>\n","      <th>title</th>\n","      <th>timestamp</th>\n","      <th>township</th>\n","      <th>address</th>\n","      <th>station_num</th>\n","      <th>Reason_category</th>\n","      <th>Reason</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>40.30</td>\n","      <td>-75.58</td>\n","      <td>REINDEER CT &amp; DEAD END;  NEW HANOVER; Station ...</td>\n","      <td>19525.00</td>\n","      <td>EMS: BACK PAINS/INJURY</td>\n","      <td>2015-12-10 17:10:52</td>\n","      <td>NEW HANOVER</td>\n","      <td>REINDEER CT &amp; DEAD END</td>\n","      <td>332</td>\n","      <td>EMS</td>\n","      <td>BACK PAINS/INJURY</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>40.26</td>\n","      <td>-75.26</td>\n","      <td>BRIAR PATH &amp; WHITEMARSH LN;  HATFIELD TOWNSHIP...</td>\n","      <td>19446.00</td>\n","      <td>EMS: DIABETIC EMERGENCY</td>\n","      <td>2015-12-10 17:29:21</td>\n","      <td>HATFIELD TOWNSHIP</td>\n","      <td>BRIAR PATH &amp; WHITEMARSH LN</td>\n","      <td>345</td>\n","      <td>EMS</td>\n","      <td>DIABETIC EMERGENCY</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>40.12</td>\n","      <td>-75.35</td>\n","      <td>HAWS AVE; NORRISTOWN; 2015-12-10 @ 14:39:21-St...</td>\n","      <td>19401.00</td>\n","      <td>Fire: GAS-ODOR/LEAK</td>\n","      <td>2015-12-10 14:39:21</td>\n","      <td>NORRISTOWN</td>\n","      <td>HAWS AVE</td>\n","      <td>:STA27</td>\n","      <td>Fire</td>\n","      <td>GAS-ODOR/LEAK</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>40.12</td>\n","      <td>-75.34</td>\n","      <td>AIRY ST &amp; SWEDE ST;  NORRISTOWN; Station 308A;...</td>\n","      <td>19401.00</td>\n","      <td>EMS: CARDIAC EMERGENCY</td>\n","      <td>2015-12-10 16:47:36</td>\n","      <td>NORRISTOWN</td>\n","      <td>AIRY ST &amp; SWEDE ST</td>\n","      <td>308A</td>\n","      <td>EMS</td>\n","      <td>CARDIAC EMERGENCY</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>40.25</td>\n","      <td>-75.60</td>\n","      <td>CHERRYWOOD CT &amp; DEAD END;  LOWER POTTSGROVE; S...</td>\n","      <td>NaN</td>\n","      <td>EMS: DIZZINESS</td>\n","      <td>2015-12-10 16:56:52</td>\n","      <td>LOWER POTTSGROVE</td>\n","      <td>CHERRYWOOD CT &amp; DEAD END</td>\n","      <td>329</td>\n","      <td>EMS</td>\n","      <td>DIZZINESS</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["   latitude  longitude                                        description  \\\n","0     40.30     -75.58  REINDEER CT & DEAD END;  NEW HANOVER; Station ...   \n","1     40.26     -75.26  BRIAR PATH & WHITEMARSH LN;  HATFIELD TOWNSHIP...   \n","2     40.12     -75.35  HAWS AVE; NORRISTOWN; 2015-12-10 @ 14:39:21-St...   \n","3     40.12     -75.34  AIRY ST & SWEDE ST;  NORRISTOWN; Station 308A;...   \n","4     40.25     -75.60  CHERRYWOOD CT & DEAD END;  LOWER POTTSGROVE; S...   \n","\n","   zipcode                    title            timestamp           township  \\\n","0 19525.00   EMS: BACK PAINS/INJURY  2015-12-10 17:10:52        NEW HANOVER   \n","1 19446.00  EMS: DIABETIC EMERGENCY  2015-12-10 17:29:21  HATFIELD TOWNSHIP   \n","2 19401.00      Fire: GAS-ODOR/LEAK  2015-12-10 14:39:21         NORRISTOWN   \n","3 19401.00   EMS: CARDIAC EMERGENCY  2015-12-10 16:47:36         NORRISTOWN   \n","4      NaN           EMS: DIZZINESS  2015-12-10 16:56:52   LOWER POTTSGROVE   \n","\n","                      address station_num Reason_category               Reason  \n","0      REINDEER CT & DEAD END         332             EMS    BACK PAINS/INJURY  \n","1  BRIAR PATH & WHITEMARSH LN         345             EMS   DIABETIC EMERGENCY  \n","2                    HAWS AVE      :STA27            Fire        GAS-ODOR/LEAK  \n","3          AIRY ST & SWEDE ST        308A             EMS    CARDIAC EMERGENCY  \n","4    CHERRYWOOD CT & DEAD END         329             EMS            DIZZINESS  "]},"execution_count":22,"metadata":{},"output_type":"execute_result"}],"source":["data.head()"]},{"cell_type":"code","execution_count":23,"id":"9e722492","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:47:25.790793Z","iopub.status.busy":"2023-02-15T22:47:25.790412Z","iopub.status.idle":"2023-02-15T22:47:25.915621Z","shell.execute_reply":"2023-02-15T22:47:25.914437Z"},"papermill":{"duration":0.14728,"end_time":"2023-02-15T22:47:25.918041","exception":false,"start_time":"2023-02-15T22:47:25.770761","status":"completed"},"tags":[]},"outputs":[],"source":["data['timestamp'] = pd.to_datetime(data.timestamp)"]},{"cell_type":"code","execution_count":24,"id":"920bc2eb","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:47:25.955102Z","iopub.status.busy":"2023-02-15T22:47:25.954738Z","iopub.status.idle":"2023-02-15T22:47:25.96329Z","shell.execute_reply":"2023-02-15T22:47:25.962286Z"},"papermill":{"duration":0.029257,"end_time":"2023-02-15T22:47:25.965122","exception":false,"start_time":"2023-02-15T22:47:25.935865","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["0        2015-12-10 17:10:52\n","1        2015-12-10 17:29:21\n","2        2015-12-10 14:39:21\n","3        2015-12-10 16:47:36\n","4        2015-12-10 16:56:52\n","                 ...        \n","663517   2020-07-29 15:46:51\n","663518   2020-07-29 15:52:19\n","663519   2020-07-29 15:52:52\n","663520   2020-07-29 15:54:08\n","663521   2020-07-29 15:52:46\n","Name: timestamp, Length: 663522, dtype: datetime64[ns]"]},"execution_count":24,"metadata":{},"output_type":"execute_result"}],"source":["data.timestamp"]},{"cell_type":"markdown","id":"cf94cb0c","metadata":{"papermill":{"duration":0.017334,"end_time":"2023-02-15T22:47:26.000708","exception":false,"start_time":"2023-02-15T22:47:25.983374","status":"completed"},"tags":[]},"source":["**You can now grab specific attributes from a Datetime object by calling them. For example:**\n","- `time = df['timeStamp'].iloc[0]`\n","- `time.hour`\n","\n","**You can use Jupyter's tab method to explore the various attributes you can call. Now that the timestamp column are actually DateTime objects, use .apply() to create 3 new columns called Hour, Month, and Day of Week. You will create these columns based off of the timeStamp column, reference the solutions if you get stuck on this step.**"]},{"cell_type":"code","execution_count":25,"id":"846b1100","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:47:26.037753Z","iopub.status.busy":"2023-02-15T22:47:26.037381Z","iopub.status.idle":"2023-02-15T22:47:26.10181Z","shell.execute_reply":"2023-02-15T22:47:26.100747Z"},"papermill":{"duration":0.085935,"end_time":"2023-02-15T22:47:26.104378","exception":false,"start_time":"2023-02-15T22:47:26.018443","status":"completed"},"tags":[]},"outputs":[],"source":["data['Hour'] = data.timestamp.dt.hour\n","data['Month'] = data.timestamp.dt.month\n","data['DayOfWeek'] = data.timestamp.dt.weekday"]},{"cell_type":"code","execution_count":26,"id":"dc34acea","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:47:26.142679Z","iopub.status.busy":"2023-02-15T22:47:26.142224Z","iopub.status.idle":"2023-02-15T22:47:26.159367Z","shell.execute_reply":"2023-02-15T22:47:26.15836Z"},"papermill":{"duration":0.038441,"end_time":"2023-02-15T22:47:26.161221","exception":false,"start_time":"2023-02-15T22:47:26.12278","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>latitude</th>\n","      <th>longitude</th>\n","      <th>description</th>\n","      <th>zipcode</th>\n","      <th>title</th>\n","      <th>timestamp</th>\n","      <th>township</th>\n","      <th>address</th>\n","      <th>station_num</th>\n","      <th>Reason_category</th>\n","      <th>Reason</th>\n","      <th>Hour</th>\n","      <th>Month</th>\n","      <th>DayOfWeek</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>40.30</td>\n","      <td>-75.58</td>\n","      <td>REINDEER CT &amp; DEAD END;  NEW HANOVER; Station ...</td>\n","      <td>19525.00</td>\n","      <td>EMS: BACK PAINS/INJURY</td>\n","      <td>2015-12-10 17:10:52</td>\n","      <td>NEW HANOVER</td>\n","      <td>REINDEER CT &amp; DEAD END</td>\n","      <td>332</td>\n","      <td>EMS</td>\n","      <td>BACK PAINS/INJURY</td>\n","      <td>17</td>\n","      <td>12</td>\n","      <td>3</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>40.26</td>\n","      <td>-75.26</td>\n","      <td>BRIAR PATH &amp; WHITEMARSH LN;  HATFIELD TOWNSHIP...</td>\n","      <td>19446.00</td>\n","      <td>EMS: DIABETIC EMERGENCY</td>\n","      <td>2015-12-10 17:29:21</td>\n","      <td>HATFIELD TOWNSHIP</td>\n","      <td>BRIAR PATH &amp; WHITEMARSH LN</td>\n","      <td>345</td>\n","      <td>EMS</td>\n","      <td>DIABETIC EMERGENCY</td>\n","      <td>17</td>\n","      <td>12</td>\n","      <td>3</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>40.12</td>\n","      <td>-75.35</td>\n","      <td>HAWS AVE; NORRISTOWN; 2015-12-10 @ 14:39:21-St...</td>\n","      <td>19401.00</td>\n","      <td>Fire: GAS-ODOR/LEAK</td>\n","      <td>2015-12-10 14:39:21</td>\n","      <td>NORRISTOWN</td>\n","      <td>HAWS AVE</td>\n","      <td>:STA27</td>\n","      <td>Fire</td>\n","      <td>GAS-ODOR/LEAK</td>\n","      <td>14</td>\n","      <td>12</td>\n","      <td>3</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>40.12</td>\n","      <td>-75.34</td>\n","      <td>AIRY ST &amp; SWEDE ST;  NORRISTOWN; Station 308A;...</td>\n","      <td>19401.00</td>\n","      <td>EMS: CARDIAC EMERGENCY</td>\n","      <td>2015-12-10 16:47:36</td>\n","      <td>NORRISTOWN</td>\n","      <td>AIRY ST &amp; SWEDE ST</td>\n","      <td>308A</td>\n","      <td>EMS</td>\n","      <td>CARDIAC EMERGENCY</td>\n","      <td>16</td>\n","      <td>12</td>\n","      <td>3</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>40.25</td>\n","      <td>-75.60</td>\n","      <td>CHERRYWOOD CT &amp; DEAD END;  LOWER POTTSGROVE; S...</td>\n","      <td>NaN</td>\n","      <td>EMS: DIZZINESS</td>\n","      <td>2015-12-10 16:56:52</td>\n","      <td>LOWER POTTSGROVE</td>\n","      <td>CHERRYWOOD CT &amp; DEAD END</td>\n","      <td>329</td>\n","      <td>EMS</td>\n","      <td>DIZZINESS</td>\n","      <td>16</td>\n","      <td>12</td>\n","      <td>3</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["   latitude  longitude                                        description  \\\n","0     40.30     -75.58  REINDEER CT & DEAD END;  NEW HANOVER; Station ...   \n","1     40.26     -75.26  BRIAR PATH & WHITEMARSH LN;  HATFIELD TOWNSHIP...   \n","2     40.12     -75.35  HAWS AVE; NORRISTOWN; 2015-12-10 @ 14:39:21-St...   \n","3     40.12     -75.34  AIRY ST & SWEDE ST;  NORRISTOWN; Station 308A;...   \n","4     40.25     -75.60  CHERRYWOOD CT & DEAD END;  LOWER POTTSGROVE; S...   \n","\n","   zipcode                    title           timestamp           township  \\\n","0 19525.00   EMS: BACK PAINS/INJURY 2015-12-10 17:10:52        NEW HANOVER   \n","1 19446.00  EMS: DIABETIC EMERGENCY 2015-12-10 17:29:21  HATFIELD TOWNSHIP   \n","2 19401.00      Fire: GAS-ODOR/LEAK 2015-12-10 14:39:21         NORRISTOWN   \n","3 19401.00   EMS: CARDIAC EMERGENCY 2015-12-10 16:47:36         NORRISTOWN   \n","4      NaN           EMS: DIZZINESS 2015-12-10 16:56:52   LOWER POTTSGROVE   \n","\n","                      address station_num Reason_category  \\\n","0      REINDEER CT & DEAD END         332             EMS   \n","1  BRIAR PATH & WHITEMARSH LN         345             EMS   \n","2                    HAWS AVE      :STA27            Fire   \n","3          AIRY ST & SWEDE ST        308A             EMS   \n","4    CHERRYWOOD CT & DEAD END         329             EMS   \n","\n","                Reason  Hour  Month  DayOfWeek  \n","0    BACK PAINS/INJURY    17     12          3  \n","1   DIABETIC EMERGENCY    17     12          3  \n","2        GAS-ODOR/LEAK    14     12          3  \n","3    CARDIAC EMERGENCY    16     12          3  \n","4            DIZZINESS    16     12          3  "]},"execution_count":26,"metadata":{},"output_type":"execute_result"}],"source":["data.head()"]},{"cell_type":"markdown","id":"7fba3df8","metadata":{"papermill":{"duration":0.018085,"end_time":"2023-02-15T22:47:26.197579","exception":false,"start_time":"2023-02-15T22:47:26.179494","status":"completed"},"tags":[]},"source":["The `description` feature isn't usefull anymore"]},{"cell_type":"code","execution_count":27,"id":"21de8676","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:47:26.236062Z","iopub.status.busy":"2023-02-15T22:47:26.234899Z","iopub.status.idle":"2023-02-15T22:47:26.445627Z","shell.execute_reply":"2023-02-15T22:47:26.444369Z"},"papermill":{"duration":0.232711,"end_time":"2023-02-15T22:47:26.448407","exception":false,"start_time":"2023-02-15T22:47:26.215696","status":"completed"},"tags":[]},"outputs":[],"source":["data.drop('description', axis=1, inplace=True)"]},{"cell_type":"code","execution_count":28,"id":"8e63bb08","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:47:26.488018Z","iopub.status.busy":"2023-02-15T22:47:26.487685Z","iopub.status.idle":"2023-02-15T22:47:26.537466Z","shell.execute_reply":"2023-02-15T22:47:26.53632Z"},"papermill":{"duration":0.072681,"end_time":"2023-02-15T22:47:26.540038","exception":false,"start_time":"2023-02-15T22:47:26.467357","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["Fri    102942\n","Wed     99157\n","Thu     98683\n","Tue     97684\n","Mon     96745\n","Sat     89452\n","Sun     78859\n","Name: DayOfWeek, dtype: int64"]},"execution_count":28,"metadata":{},"output_type":"execute_result"}],"source":["dmap = {0:'Mon', 1:'Tue', 2:'Wed', 3:'Thu', 4:'Fri', 5:'Sat', 6:'Sun'}\n","data['DayOfWeek'] = data.DayOfWeek.map(dmap)\n","data.DayOfWeek.value_counts()"]},{"cell_type":"markdown","id":"8b3e53a0","metadata":{"papermill":{"duration":0.018236,"end_time":"2023-02-15T22:47:26.577067","exception":false,"start_time":"2023-02-15T22:47:26.558831","status":"completed"},"tags":[]},"source":["**Now use seaborn to create a countplot of the Day of Week column with the hue based off of the Reason column.**"]},{"cell_type":"code","execution_count":29,"id":"e07107d8","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:47:26.616204Z","iopub.status.busy":"2023-02-15T22:47:26.615842Z","iopub.status.idle":"2023-02-15T22:47:27.746739Z","shell.execute_reply":"2023-02-15T22:47:27.745567Z"},"papermill":{"duration":1.153788,"end_time":"2023-02-15T22:47:27.748991","exception":false,"start_time":"2023-02-15T22:47:26.595203","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["<AxesSubplot:xlabel='DayOfWeek', ylabel='count'>"]},"execution_count":29,"metadata":{},"output_type":"execute_result"},{"data":{"image/png":"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\n","text/plain":["<Figure size 1000x800 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["plt.figure(figsize=(10, 8))\n","sns.countplot(x=data.DayOfWeek, data=data, hue='Reason_category')"]},{"cell_type":"markdown","id":"bdb5cd56","metadata":{"papermill":{"duration":0.018664,"end_time":"2023-02-15T22:47:27.786717","exception":false,"start_time":"2023-02-15T22:47:27.768053","status":"completed"},"tags":[]},"source":["**Now do the same for Month:**"]},{"cell_type":"code","execution_count":30,"id":"b7836253","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:47:27.826145Z","iopub.status.busy":"2023-02-15T22:47:27.82581Z","iopub.status.idle":"2023-02-15T22:47:28.705195Z","shell.execute_reply":"2023-02-15T22:47:28.704192Z"},"papermill":{"duration":0.901466,"end_time":"2023-02-15T22:47:28.707168","exception":false,"start_time":"2023-02-15T22:47:27.805702","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["<AxesSubplot:xlabel='Month', ylabel='count'>"]},"execution_count":30,"metadata":{},"output_type":"execute_result"},{"data":{"image/png":"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\n","text/plain":["<Figure size 1000x800 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["plt.figure(figsize=(10, 8))\n","sns.countplot(x=data.Month, data=data, hue='Reason_category')"]},{"cell_type":"markdown","id":"5e1bb26d","metadata":{"papermill":{"duration":0.01904,"end_time":"2023-02-15T22:47:28.746079","exception":false,"start_time":"2023-02-15T22:47:28.727039","status":"completed"},"tags":[]},"source":["**Did you notice something strange about the Plot?**\n","\n","_____\n","\n","You should have noticed it was missing some Months, let's see if we can maybe fill in this information by plotting the information in another way, possibly a simple line plot that fills in the missing months, in order to do this, we'll need to do some work with pandas...\n","\n","**Now create a gropuby object called byMonth, where you group the DataFrame by the month column and use the count() method for aggregation. Use the head() method on this returned DataFrame.**"]},{"cell_type":"code","execution_count":31,"id":"ce25e9dd","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:47:28.787774Z","iopub.status.busy":"2023-02-15T22:47:28.787374Z","iopub.status.idle":"2023-02-15T22:47:29.316664Z","shell.execute_reply":"2023-02-15T22:47:29.315317Z"},"papermill":{"duration":0.552225,"end_time":"2023-02-15T22:47:29.318574","exception":false,"start_time":"2023-02-15T22:47:28.766349","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>latitude</th>\n","      <th>longitude</th>\n","      <th>zipcode</th>\n","      <th>title</th>\n","      <th>timestamp</th>\n","      <th>township</th>\n","      <th>address</th>\n","      <th>station_num</th>\n","      <th>Reason_category</th>\n","      <th>Reason</th>\n","      <th>Hour</th>\n","      <th>DayOfWeek</th>\n","    </tr>\n","    <tr>\n","      <th>Month</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>1</th>\n","      <td>62336</td>\n","      <td>62336</td>\n","      <td>55294</td>\n","      <td>62336</td>\n","      <td>62336</td>\n","      <td>62312</td>\n","      <td>62336</td>\n","      <td>40057</td>\n","      <td>62336</td>\n","      <td>62336</td>\n","      <td>62336</td>\n","      <td>62336</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>55427</td>\n","      <td>55427</td>\n","      <td>48922</td>\n","      <td>55427</td>\n","      <td>55427</td>\n","      <td>55405</td>\n","      <td>55427</td>\n","      <td>36421</td>\n","      <td>55427</td>\n","      <td>55427</td>\n","      <td>55427</td>\n","      <td>55427</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>60027</td>\n","      <td>60027</td>\n","      <td>53252</td>\n","      <td>60027</td>\n","      <td>60027</td>\n","      <td>60001</td>\n","      <td>60027</td>\n","      <td>39124</td>\n","      <td>60027</td>\n","      <td>60027</td>\n","      <td>60027</td>\n","      <td>60027</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>53671</td>\n","      <td>53671</td>\n","      <td>47349</td>\n","      <td>53671</td>\n","      <td>53671</td>\n","      <td>53655</td>\n","      <td>53671</td>\n","      <td>36617</td>\n","      <td>53671</td>\n","      <td>53671</td>\n","      <td>53671</td>\n","      <td>53671</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>57509</td>\n","      <td>57509</td>\n","      <td>50354</td>\n","      <td>57509</td>\n","      <td>57509</td>\n","      <td>57474</td>\n","      <td>57509</td>\n","      <td>38164</td>\n","      <td>57509</td>\n","      <td>57509</td>\n","      <td>57509</td>\n","      <td>57509</td>\n","    </tr>\n","    <tr>\n","      <th>6</th>\n","      <td>60034</td>\n","      <td>60034</td>\n","      <td>52593</td>\n","      <td>60034</td>\n","      <td>60034</td>\n","      <td>60005</td>\n","      <td>60034</td>\n","      <td>39391</td>\n","      <td>60034</td>\n","      <td>60034</td>\n","      <td>60034</td>\n","      <td>60034</td>\n","    </tr>\n","    <tr>\n","      <th>7</th>\n","      <td>59832</td>\n","      <td>59832</td>\n","      <td>52507</td>\n","      <td>59832</td>\n","      <td>59832</td>\n","      <td>59802</td>\n","      <td>59832</td>\n","      <td>39692</td>\n","      <td>59832</td>\n","      <td>59832</td>\n","      <td>59832</td>\n","      <td>59832</td>\n","    </tr>\n","    <tr>\n","      <th>8</th>\n","      <td>48359</td>\n","      <td>48359</td>\n","      <td>42311</td>\n","      <td>48359</td>\n","      <td>48359</td>\n","      <td>48335</td>\n","      <td>48359</td>\n","      <td>32008</td>\n","      <td>48359</td>\n","      <td>48359</td>\n","      <td>48359</td>\n","      <td>48359</td>\n","    </tr>\n","    <tr>\n","      <th>9</th>\n","      <td>47213</td>\n","      <td>47213</td>\n","      <td>41289</td>\n","      <td>47213</td>\n","      <td>47213</td>\n","      <td>47196</td>\n","      <td>47213</td>\n","      <td>31240</td>\n","      <td>47213</td>\n","      <td>47213</td>\n","      <td>47213</td>\n","      <td>47213</td>\n","    </tr>\n","    <tr>\n","      <th>10</th>\n","      <td>51240</td>\n","      <td>51240</td>\n","      <td>44582</td>\n","      <td>51240</td>\n","      <td>51240</td>\n","      <td>51220</td>\n","      <td>51240</td>\n","      <td>32708</td>\n","      <td>51240</td>\n","      <td>51240</td>\n","      <td>51240</td>\n","      <td>51240</td>\n","    </tr>\n","    <tr>\n","      <th>11</th>\n","      <td>50182</td>\n","      <td>50182</td>\n","      <td>44087</td>\n","      <td>50182</td>\n","      <td>50182</td>\n","      <td>50157</td>\n","      <td>50182</td>\n","      <td>31065</td>\n","      <td>50182</td>\n","      <td>50182</td>\n","      <td>50182</td>\n","      <td>50182</td>\n","    </tr>\n","    <tr>\n","      <th>12</th>\n","      <td>57692</td>\n","      <td>57692</td>\n","      <td>50783</td>\n","      <td>57692</td>\n","      <td>57692</td>\n","      <td>57667</td>\n","      <td>57692</td>\n","      <td>36827</td>\n","      <td>57692</td>\n","      <td>57692</td>\n","      <td>57692</td>\n","      <td>57692</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["       latitude  longitude  zipcode  title  timestamp  township  address  \\\n","Month                                                                      \n","1         62336      62336    55294  62336      62336     62312    62336   \n","2         55427      55427    48922  55427      55427     55405    55427   \n","3         60027      60027    53252  60027      60027     60001    60027   \n","4         53671      53671    47349  53671      53671     53655    53671   \n","5         57509      57509    50354  57509      57509     57474    57509   \n","6         60034      60034    52593  60034      60034     60005    60034   \n","7         59832      59832    52507  59832      59832     59802    59832   \n","8         48359      48359    42311  48359      48359     48335    48359   \n","9         47213      47213    41289  47213      47213     47196    47213   \n","10        51240      51240    44582  51240      51240     51220    51240   \n","11        50182      50182    44087  50182      50182     50157    50182   \n","12        57692      57692    50783  57692      57692     57667    57692   \n","\n","       station_num  Reason_category  Reason   Hour  DayOfWeek  \n","Month                                                          \n","1            40057            62336   62336  62336      62336  \n","2            36421            55427   55427  55427      55427  \n","3            39124            60027   60027  60027      60027  \n","4            36617            53671   53671  53671      53671  \n","5            38164            57509   57509  57509      57509  \n","6            39391            60034   60034  60034      60034  \n","7            39692            59832   59832  59832      59832  \n","8            32008            48359   48359  48359      48359  \n","9            31240            47213   47213  47213      47213  \n","10           32708            51240   51240  51240      51240  \n","11           31065            50182   50182  50182      50182  \n","12           36827            57692   57692  57692      57692  "]},"execution_count":31,"metadata":{},"output_type":"execute_result"}],"source":["byMonth = data.groupby('Month').count()\n","byMonth"]},{"cell_type":"markdown","id":"93de2b8d","metadata":{"papermill":{"duration":0.020506,"end_time":"2023-02-15T22:47:29.360549","exception":false,"start_time":"2023-02-15T22:47:29.340043","status":"completed"},"tags":[]},"source":["**Now create a simple plot off of the dataframe indicating the count of calls per month.**"]},{"cell_type":"code","execution_count":32,"id":"1382e41c","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:47:29.402145Z","iopub.status.busy":"2023-02-15T22:47:29.401785Z","iopub.status.idle":"2023-02-15T22:47:29.67199Z","shell.execute_reply":"2023-02-15T22:47:29.670585Z"},"papermill":{"duration":0.294037,"end_time":"2023-02-15T22:47:29.674531","exception":false,"start_time":"2023-02-15T22:47:29.380494","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["<AxesSubplot:xlabel='Month'>"]},"execution_count":32,"metadata":{},"output_type":"execute_result"},{"data":{"image/png":"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\n","text/plain":["<Figure size 1000x800 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["byMonth.township.plot(figsize=(10, 8))"]},{"cell_type":"markdown","id":"1d39d61b","metadata":{"papermill":{"duration":0.021477,"end_time":"2023-02-15T22:47:29.717759","exception":false,"start_time":"2023-02-15T22:47:29.696282","status":"completed"},"tags":[]},"source":["**Now see if you can use seaborn's lmplot() to create a linear fit on the number of calls per month. Keep in mind you may need to reset the index to a column.**"]},{"cell_type":"code","execution_count":33,"id":"3db90dc0","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:47:29.762203Z","iopub.status.busy":"2023-02-15T22:47:29.761876Z","iopub.status.idle":"2023-02-15T22:47:30.19479Z","shell.execute_reply":"2023-02-15T22:47:30.193545Z"},"papermill":{"duration":0.458005,"end_time":"2023-02-15T22:47:30.196882","exception":false,"start_time":"2023-02-15T22:47:29.738877","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["<seaborn.axisgrid.FacetGrid at 0x7f791d00ef90>"]},"execution_count":33,"metadata":{},"output_type":"execute_result"},{"data":{"text/plain":["<Figure size 1200x800 with 0 Axes>"]},"metadata":{},"output_type":"display_data"},{"data":{"image/png":"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\n","text/plain":["<Figure size 500x500 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["plt.figure(figsize=(12, 8))\n","sns.lmplot(x='Month',y='township',data=byMonth.reset_index())"]},{"cell_type":"markdown","id":"7aab5f97","metadata":{"papermill":{"duration":0.022383,"end_time":"2023-02-15T22:47:30.241508","exception":false,"start_time":"2023-02-15T22:47:30.219125","status":"completed"},"tags":[]},"source":["**Create a new column called 'Date' that contains the date from the timeStamp column. You'll need to use apply along with the .date() method.** "]},{"cell_type":"code","execution_count":34,"id":"9b4d9052","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:47:30.289217Z","iopub.status.busy":"2023-02-15T22:47:30.288872Z","iopub.status.idle":"2023-02-15T22:47:30.421692Z","shell.execute_reply":"2023-02-15T22:47:30.420596Z"},"papermill":{"duration":0.159858,"end_time":"2023-02-15T22:47:30.424151","exception":false,"start_time":"2023-02-15T22:47:30.264293","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["0         2015-12-10\n","1         2015-12-10\n","2         2015-12-10\n","3         2015-12-10\n","4         2015-12-10\n","             ...    \n","663517    2020-07-29\n","663518    2020-07-29\n","663519    2020-07-29\n","663520    2020-07-29\n","663521    2020-07-29\n","Name: Date, Length: 663522, dtype: object"]},"execution_count":34,"metadata":{},"output_type":"execute_result"}],"source":["data['Date'] = data.timestamp.dt.date\n","data.Date"]},{"cell_type":"markdown","id":"7a7559d9","metadata":{"papermill":{"duration":0.023054,"end_time":"2023-02-15T22:47:30.469876","exception":false,"start_time":"2023-02-15T22:47:30.446822","status":"completed"},"tags":[]},"source":["**Now groupby this Date column with the count() aggregate and create a plot of counts of 911 calls.**"]},{"cell_type":"code","execution_count":35,"id":"44e57298","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:47:30.515555Z","iopub.status.busy":"2023-02-15T22:47:30.515181Z","iopub.status.idle":"2023-02-15T22:47:31.078255Z","shell.execute_reply":"2023-02-15T22:47:31.077413Z"},"papermill":{"duration":0.587975,"end_time":"2023-02-15T22:47:31.080089","exception":false,"start_time":"2023-02-15T22:47:30.492114","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>latitude</th>\n","      <th>longitude</th>\n","      <th>zipcode</th>\n","      <th>title</th>\n","      <th>timestamp</th>\n","      <th>township</th>\n","      <th>address</th>\n","      <th>station_num</th>\n","      <th>Reason_category</th>\n","      <th>Reason</th>\n","      <th>Hour</th>\n","      <th>Month</th>\n","      <th>DayOfWeek</th>\n","    </tr>\n","    <tr>\n","      <th>Date</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>2015-12-10</th>\n","      <td>114</td>\n","      <td>114</td>\n","      <td>100</td>\n","      <td>114</td>\n","      <td>114</td>\n","      <td>114</td>\n","      <td>114</td>\n","      <td>73</td>\n","      <td>114</td>\n","      <td>114</td>\n","      <td>114</td>\n","      <td>114</td>\n","      <td>114</td>\n","    </tr>\n","    <tr>\n","      <th>2015-12-11</th>\n","      <td>391</td>\n","      <td>391</td>\n","      <td>332</td>\n","      <td>391</td>\n","      <td>391</td>\n","      <td>391</td>\n","      <td>391</td>\n","      <td>254</td>\n","      <td>391</td>\n","      <td>391</td>\n","      <td>391</td>\n","      <td>391</td>\n","      <td>391</td>\n","    </tr>\n","    <tr>\n","      <th>2015-12-12</th>\n","      <td>402</td>\n","      <td>402</td>\n","      <td>334</td>\n","      <td>402</td>\n","      <td>402</td>\n","      <td>402</td>\n","      <td>402</td>\n","      <td>257</td>\n","      <td>402</td>\n","      <td>402</td>\n","      <td>402</td>\n","      <td>402</td>\n","      <td>402</td>\n","    </tr>\n","    <tr>\n","      <th>2015-12-13</th>\n","      <td>316</td>\n","      <td>316</td>\n","      <td>279</td>\n","      <td>316</td>\n","      <td>316</td>\n","      <td>316</td>\n","      <td>316</td>\n","      <td>241</td>\n","      <td>316</td>\n","      <td>316</td>\n","      <td>316</td>\n","      <td>316</td>\n","      <td>316</td>\n","    </tr>\n","    <tr>\n","      <th>2015-12-14</th>\n","      <td>444</td>\n","      <td>444</td>\n","      <td>386</td>\n","      <td>444</td>\n","      <td>444</td>\n","      <td>443</td>\n","      <td>444</td>\n","      <td>260</td>\n","      <td>444</td>\n","      <td>444</td>\n","      <td>444</td>\n","      <td>444</td>\n","      <td>444</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["            latitude  longitude  zipcode  title  timestamp  township  address  \\\n","Date                                                                            \n","2015-12-10       114        114      100    114        114       114      114   \n","2015-12-11       391        391      332    391        391       391      391   \n","2015-12-12       402        402      334    402        402       402      402   \n","2015-12-13       316        316      279    316        316       316      316   \n","2015-12-14       444        444      386    444        444       443      444   \n","\n","            station_num  Reason_category  Reason  Hour  Month  DayOfWeek  \n","Date                                                                      \n","2015-12-10           73              114     114   114    114        114  \n","2015-12-11          254              391     391   391    391        391  \n","2015-12-12          257              402     402   402    402        402  \n","2015-12-13          241              316     316   316    316        316  \n","2015-12-14          260              444     444   444    444        444  "]},"execution_count":35,"metadata":{},"output_type":"execute_result"}],"source":["byDate = data.groupby(\"Date\").count()\n","byDate.head()"]},{"cell_type":"code","execution_count":36,"id":"72ab0377","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:47:31.126753Z","iopub.status.busy":"2023-02-15T22:47:31.126375Z","iopub.status.idle":"2023-02-15T22:47:31.456891Z","shell.execute_reply":"2023-02-15T22:47:31.455849Z"},"papermill":{"duration":0.357179,"end_time":"2023-02-15T22:47:31.459856","exception":false,"start_time":"2023-02-15T22:47:31.102677","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["<AxesSubplot:xlabel='Date'>"]},"execution_count":36,"metadata":{},"output_type":"execute_result"},{"data":{"image/png":"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size 1000x800 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["byDate.township.plot(figsize=(10, 8))"]},{"cell_type":"markdown","id":"88840267","metadata":{"papermill":{"duration":0.023106,"end_time":"2023-02-15T22:47:31.506885","exception":false,"start_time":"2023-02-15T22:47:31.483779","status":"completed"},"tags":[]},"source":["**Now recreate this plot but create 3 separate plots with each plot representing a Reason for the 911 call**"]},{"cell_type":"code","execution_count":37,"id":"43eb5df7","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:47:31.556027Z","iopub.status.busy":"2023-02-15T22:47:31.555682Z","iopub.status.idle":"2023-02-15T22:47:33.681429Z","shell.execute_reply":"2023-02-15T22:47:33.680457Z"},"papermill":{"duration":2.153308,"end_time":"2023-02-15T22:47:33.683625","exception":false,"start_time":"2023-02-15T22:47:31.530317","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"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size 1500x1500 with 3 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["plt.figure(figsize=(15, 15))\n","\n","for i, reason in enumerate(data.Reason_category.unique(), 1):\n","    plt.subplot(2, 2, i)\n","    data[data['Reason_category']==reason].groupby('Date').count()['township'].plot()\n","    plt.title(reason)\n","    plt.tight_layout()"]},{"cell_type":"markdown","id":"1d2e9349","metadata":{"papermill":{"duration":0.025623,"end_time":"2023-02-15T22:47:33.735116","exception":false,"start_time":"2023-02-15T22:47:33.709493","status":"completed"},"tags":[]},"source":["____\n","**Now let's move on to creating  heatmaps with seaborn and our data. We'll first need to restructure the dataframe so that the columns become the Hours and the Index becomes the Day of the Week. There are lots of ways to do this, but I would recommend trying to combine groupby with an [unstack](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.unstack.html) method. Reference the solutions if you get stuck on this!**"]},{"cell_type":"code","execution_count":38,"id":"d1f3cf9d","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:47:33.788414Z","iopub.status.busy":"2023-02-15T22:47:33.78801Z","iopub.status.idle":"2023-02-15T22:47:34.215111Z","shell.execute_reply":"2023-02-15T22:47:34.214148Z"},"papermill":{"duration":0.456157,"end_time":"2023-02-15T22:47:34.217093","exception":false,"start_time":"2023-02-15T22:47:33.760936","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th>Hour</th>\n","      <th>0</th>\n","      <th>1</th>\n","      <th>2</th>\n","      <th>3</th>\n","      <th>4</th>\n","      <th>5</th>\n","      <th>6</th>\n","      <th>7</th>\n","      <th>8</th>\n","      <th>9</th>\n","      <th>...</th>\n","      <th>14</th>\n","      <th>15</th>\n","      <th>16</th>\n","      <th>17</th>\n","      <th>18</th>\n","      <th>19</th>\n","      <th>20</th>\n","      <th>21</th>\n","      <th>22</th>\n","      <th>23</th>\n","    </tr>\n","    <tr>\n","      <th>DayOfWeek</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>Fri</th>\n","      <td>1983</td>\n","      <td>1635</td>\n","      <td>1449</td>\n","      <td>1296</td>\n","      <td>1339</td>\n","      <td>1639</td>\n","      <td>2670</td>\n","      <td>4143</td>\n","      <td>5018</td>\n","      <td>5288</td>\n","      <td>...</td>\n","      <td>6394</td>\n","      <td>7040</td>\n","      <td>7065</td>\n","      <td>7113</td>\n","      <td>5668</td>\n","      <td>5056</td>\n","      <td>4375</td>\n","      <td>3913</td>\n","      <td>3422</td>\n","      <td>2834</td>\n","    </tr>\n","    <tr>\n","      <th>Mon</th>\n","      <td>1894</td>\n","      <td>1571</td>\n","      <td>1368</td>\n","      <td>1272</td>\n","      <td>1336</td>\n","      <td>1844</td>\n","      <td>2675</td>\n","      <td>4430</td>\n","      <td>5504</td>\n","      <td>5724</td>\n","      <td>...</td>\n","      <td>5713</td>\n","      <td>6289</td>\n","      <td>6346</td>\n","      <td>6408</td>\n","      <td>5441</td>\n","      <td>4488</td>\n","      <td>3823</td>\n","      <td>3254</td>\n","      <td>2658</td>\n","      <td>2072</td>\n","    </tr>\n","    <tr>\n","      <th>Sat</th>\n","      <td>2447</td>\n","      <td>2059</td>\n","      <td>1883</td>\n","      <td>1592</td>\n","      <td>1451</td>\n","      <td>1580</td>\n","      <td>1880</td>\n","      <td>2489</td>\n","      <td>3457</td>\n","      <td>4315</td>\n","      <td>...</td>\n","      <td>5421</td>\n","      <td>5181</td>\n","      <td>5211</td>\n","      <td>5213</td>\n","      <td>4980</td>\n","      <td>4753</td>\n","      <td>4127</td>\n","      <td>3895</td>\n","      <td>3226</td>\n","      <td>2965</td>\n","    </tr>\n","    <tr>\n","      <th>Sun</th>\n","      <td>2424</td>\n","      <td>2135</td>\n","      <td>1946</td>\n","      <td>1614</td>\n","      <td>1471</td>\n","      <td>1488</td>\n","      <td>1726</td>\n","      <td>2408</td>\n","      <td>3001</td>\n","      <td>3728</td>\n","      <td>...</td>\n","      <td>4744</td>\n","      <td>4475</td>\n","      <td>4560</td>\n","      <td>4505</td>\n","      <td>4402</td>\n","      <td>4135</td>\n","      <td>3748</td>\n","      <td>3161</td>\n","      <td>2629</td>\n","      <td>2323</td>\n","    </tr>\n","    <tr>\n","      <th>Thu</th>\n","      <td>1731</td>\n","      <td>1408</td>\n","      <td>1426</td>\n","      <td>1236</td>\n","      <td>1293</td>\n","      <td>1775</td>\n","      <td>2816</td>\n","      <td>4432</td>\n","      <td>5297</td>\n","      <td>5412</td>\n","      <td>...</td>\n","      <td>6079</td>\n","      <td>6493</td>\n","      <td>6375</td>\n","      <td>6935</td>\n","      <td>5512</td>\n","      <td>4703</td>\n","      <td>4045</td>\n","      <td>3490</td>\n","      <td>2844</td>\n","      <td>2354</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>5 rows × 24 columns</p>\n","</div>"],"text/plain":["Hour         0     1     2     3     4     5     6     7     8     9   ...  \\\n","DayOfWeek                                                              ...   \n","Fri        1983  1635  1449  1296  1339  1639  2670  4143  5018  5288  ...   \n","Mon        1894  1571  1368  1272  1336  1844  2675  4430  5504  5724  ...   \n","Sat        2447  2059  1883  1592  1451  1580  1880  2489  3457  4315  ...   \n","Sun        2424  2135  1946  1614  1471  1488  1726  2408  3001  3728  ...   \n","Thu        1731  1408  1426  1236  1293  1775  2816  4432  5297  5412  ...   \n","\n","Hour         14    15    16    17    18    19    20    21    22    23  \n","DayOfWeek                                                              \n","Fri        6394  7040  7065  7113  5668  5056  4375  3913  3422  2834  \n","Mon        5713  6289  6346  6408  5441  4488  3823  3254  2658  2072  \n","Sat        5421  5181  5211  5213  4980  4753  4127  3895  3226  2965  \n","Sun        4744  4475  4560  4505  4402  4135  3748  3161  2629  2323  \n","Thu        6079  6493  6375  6935  5512  4703  4045  3490  2844  2354  \n","\n","[5 rows x 24 columns]"]},"execution_count":38,"metadata":{},"output_type":"execute_result"}],"source":["dayHour = data.groupby(by=['DayOfWeek','Hour']).count()['Reason_category'].unstack()\n","dayHour.head()"]},{"cell_type":"markdown","id":"54aadc89","metadata":{"papermill":{"duration":0.025714,"end_time":"2023-02-15T22:47:34.26818","exception":false,"start_time":"2023-02-15T22:47:34.242466","status":"completed"},"tags":[]},"source":["**Now create a HeatMap using this new DataFrame.**"]},{"cell_type":"code","execution_count":39,"id":"a418b3d4","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:47:34.321291Z","iopub.status.busy":"2023-02-15T22:47:34.32094Z","iopub.status.idle":"2023-02-15T22:47:34.727213Z","shell.execute_reply":"2023-02-15T22:47:34.725816Z"},"papermill":{"duration":0.435447,"end_time":"2023-02-15T22:47:34.729244","exception":false,"start_time":"2023-02-15T22:47:34.293797","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["<AxesSubplot:xlabel='Hour', ylabel='DayOfWeek'>"]},"execution_count":39,"metadata":{},"output_type":"execute_result"},{"data":{"image/png":"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\n","text/plain":["<Figure size 1200x800 with 2 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["plt.figure(figsize=(12, 8))\n","sns.heatmap(dayHour)"]},{"cell_type":"markdown","id":"c2c24699","metadata":{"papermill":{"duration":0.026353,"end_time":"2023-02-15T22:47:34.783518","exception":false,"start_time":"2023-02-15T22:47:34.757165","status":"completed"},"tags":[]},"source":["**Now create a clustermap using this DataFrame.**"]},{"cell_type":"code","execution_count":40,"id":"effab62a","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:47:34.838256Z","iopub.status.busy":"2023-02-15T22:47:34.83778Z","iopub.status.idle":"2023-02-15T22:47:35.49061Z","shell.execute_reply":"2023-02-15T22:47:35.489464Z"},"papermill":{"duration":0.682694,"end_time":"2023-02-15T22:47:35.492557","exception":false,"start_time":"2023-02-15T22:47:34.809863","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["<seaborn.matrix.ClusterGrid at 0x7f791d1e0210>"]},"execution_count":40,"metadata":{},"output_type":"execute_result"},{"data":{"text/plain":["<Figure size 1200x800 with 0 Axes>"]},"metadata":{},"output_type":"display_data"},{"data":{"image/png":"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\n","text/plain":["<Figure size 1000x1000 with 4 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["plt.figure(figsize=(12, 8))\n","sns.clustermap(dayHour)"]},{"cell_type":"markdown","id":"7799a50b","metadata":{"papermill":{"duration":0.027471,"end_time":"2023-02-15T22:47:35.547486","exception":false,"start_time":"2023-02-15T22:47:35.520015","status":"completed"},"tags":[]},"source":["**Now repeat these same plots and operations, for a DataFrame that shows the Month as the column.**"]},{"cell_type":"code","execution_count":41,"id":"2569cfb1","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:47:35.604342Z","iopub.status.busy":"2023-02-15T22:47:35.603973Z","iopub.status.idle":"2023-02-15T22:47:36.019893Z","shell.execute_reply":"2023-02-15T22:47:36.018944Z"},"papermill":{"duration":0.447982,"end_time":"2023-02-15T22:47:36.023193","exception":false,"start_time":"2023-02-15T22:47:35.575211","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th>Month</th>\n","      <th>1</th>\n","      <th>2</th>\n","      <th>3</th>\n","      <th>4</th>\n","      <th>5</th>\n","      <th>6</th>\n","      <th>7</th>\n","      <th>8</th>\n","      <th>9</th>\n","      <th>10</th>\n","      <th>11</th>\n","      <th>12</th>\n","    </tr>\n","    <tr>\n","      <th>DayOfWeek</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>Fri</th>\n","      <td>9309</td>\n","      <td>8255</td>\n","      <td>10941</td>\n","      <td>7997</td>\n","      <td>8904</td>\n","      <td>9207</td>\n","      <td>8681</td>\n","      <td>7336</td>\n","      <td>7694</td>\n","      <td>6934</td>\n","      <td>8379</td>\n","      <td>9305</td>\n","    </tr>\n","    <tr>\n","      <th>Mon</th>\n","      <td>8896</td>\n","      <td>8747</td>\n","      <td>8060</td>\n","      <td>8410</td>\n","      <td>7881</td>\n","      <td>8511</td>\n","      <td>9499</td>\n","      <td>6854</td>\n","      <td>6598</td>\n","      <td>8075</td>\n","      <td>6722</td>\n","      <td>8492</td>\n","    </tr>\n","    <tr>\n","      <th>Sat</th>\n","      <td>8475</td>\n","      <td>7593</td>\n","      <td>8050</td>\n","      <td>7514</td>\n","      <td>7223</td>\n","      <td>8198</td>\n","      <td>7748</td>\n","      <td>6111</td>\n","      <td>6566</td>\n","      <td>6609</td>\n","      <td>6773</td>\n","      <td>8592</td>\n","    </tr>\n","    <tr>\n","      <th>Sun</th>\n","      <td>7478</td>\n","      <td>6452</td>\n","      <td>6766</td>\n","      <td>6865</td>\n","      <td>6694</td>\n","      <td>6837</td>\n","      <td>7859</td>\n","      <td>5275</td>\n","      <td>5956</td>\n","      <td>6316</td>\n","      <td>5196</td>\n","      <td>7165</td>\n","    </tr>\n","    <tr>\n","      <th>Thu</th>\n","      <td>9055</td>\n","      <td>7997</td>\n","      <td>8849</td>\n","      <td>7722</td>\n","      <td>8740</td>\n","      <td>9489</td>\n","      <td>8378</td>\n","      <td>7508</td>\n","      <td>6954</td>\n","      <td>7482</td>\n","      <td>8358</td>\n","      <td>8151</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["Month        1     2      3     4     5     6     7     8     9     10    11  \\\n","DayOfWeek                                                                      \n","Fri        9309  8255  10941  7997  8904  9207  8681  7336  7694  6934  8379   \n","Mon        8896  8747   8060  8410  7881  8511  9499  6854  6598  8075  6722   \n","Sat        8475  7593   8050  7514  7223  8198  7748  6111  6566  6609  6773   \n","Sun        7478  6452   6766  6865  6694  6837  7859  5275  5956  6316  5196   \n","Thu        9055  7997   8849  7722  8740  9489  8378  7508  6954  7482  8358   \n","\n","Month        12  \n","DayOfWeek        \n","Fri        9305  \n","Mon        8492  \n","Sat        8592  \n","Sun        7165  \n","Thu        8151  "]},"execution_count":41,"metadata":{},"output_type":"execute_result"}],"source":["dayMonth = data.groupby(by=['DayOfWeek','Month']).count()['Reason_category'].unstack()\n","dayMonth.head()"]},{"cell_type":"code","execution_count":42,"id":"5c42a089","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:47:36.091819Z","iopub.status.busy":"2023-02-15T22:47:36.091498Z","iopub.status.idle":"2023-02-15T22:47:36.433692Z","shell.execute_reply":"2023-02-15T22:47:36.432298Z"},"papermill":{"duration":0.378765,"end_time":"2023-02-15T22:47:36.436452","exception":false,"start_time":"2023-02-15T22:47:36.057687","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["<AxesSubplot:xlabel='Month', ylabel='DayOfWeek'>"]},"execution_count":42,"metadata":{},"output_type":"execute_result"},{"data":{"image/png":"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\n","text/plain":["<Figure size 1200x800 with 2 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["plt.figure(figsize=(12, 8))\n","sns.heatmap(dayMonth)"]},{"cell_type":"code","execution_count":43,"id":"06d6db42","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:47:36.494021Z","iopub.status.busy":"2023-02-15T22:47:36.493665Z","iopub.status.idle":"2023-02-15T22:47:37.022415Z","shell.execute_reply":"2023-02-15T22:47:37.021022Z"},"papermill":{"duration":0.560033,"end_time":"2023-02-15T22:47:37.024652","exception":false,"start_time":"2023-02-15T22:47:36.464619","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["<seaborn.matrix.ClusterGrid at 0x7f791d25e1d0>"]},"execution_count":43,"metadata":{},"output_type":"execute_result"},{"data":{"text/plain":["<Figure size 1200x800 with 0 Axes>"]},"metadata":{},"output_type":"display_data"},{"data":{"image/png":"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\n","text/plain":["<Figure size 1000x1000 with 4 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["plt.figure(figsize=(12, 8))\n","sns.clustermap(dayMonth)"]},{"cell_type":"markdown","id":"6786ac86","metadata":{"papermill":{"duration":0.028989,"end_time":"2023-02-15T22:47:37.084705","exception":false,"start_time":"2023-02-15T22:47:37.055716","status":"completed"},"tags":[]},"source":["## Longitude and Latitude"]},{"cell_type":"code","execution_count":44,"id":"c9ba46a5","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:47:37.145864Z","iopub.status.busy":"2023-02-15T22:47:37.145443Z","iopub.status.idle":"2023-02-15T22:47:55.843817Z","shell.execute_reply":"2023-02-15T22:47:55.842676Z"},"papermill":{"duration":18.730959,"end_time":"2023-02-15T22:47:55.845885","exception":false,"start_time":"2023-02-15T22:47:37.114926","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"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size 1200x800 with 2 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["plt.figure(figsize=(12, 8))\n","plt.scatter(data.longitude, data.latitude, c=data.Month, cmap='summer', \n","            edgecolor='black', linewidth=1, alpha=0.75)\n","\n","cbar = plt.colorbar()\n","cbar.set_label('Month')"]},{"cell_type":"code","execution_count":45,"id":"1e38ca13","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:47:55.908076Z","iopub.status.busy":"2023-02-15T22:47:55.907712Z","iopub.status.idle":"2023-02-15T22:47:55.924931Z","shell.execute_reply":"2023-02-15T22:47:55.923764Z"},"papermill":{"duration":0.050399,"end_time":"2023-02-15T22:47:55.926954","exception":false,"start_time":"2023-02-15T22:47:55.876555","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>latitude</th>\n","      <th>longitude</th>\n","      <th>zipcode</th>\n","      <th>title</th>\n","      <th>timestamp</th>\n","      <th>township</th>\n","      <th>address</th>\n","      <th>station_num</th>\n","      <th>Reason_category</th>\n","      <th>Reason</th>\n","      <th>Hour</th>\n","      <th>Month</th>\n","      <th>DayOfWeek</th>\n","      <th>Date</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>40.30</td>\n","      <td>-75.58</td>\n","      <td>19525.00</td>\n","      <td>EMS: BACK PAINS/INJURY</td>\n","      <td>2015-12-10 17:10:52</td>\n","      <td>NEW HANOVER</td>\n","      <td>REINDEER CT &amp; DEAD END</td>\n","      <td>332</td>\n","      <td>EMS</td>\n","      <td>BACK PAINS/INJURY</td>\n","      <td>17</td>\n","      <td>12</td>\n","      <td>Thu</td>\n","      <td>2015-12-10</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>40.26</td>\n","      <td>-75.26</td>\n","      <td>19446.00</td>\n","      <td>EMS: DIABETIC EMERGENCY</td>\n","      <td>2015-12-10 17:29:21</td>\n","      <td>HATFIELD TOWNSHIP</td>\n","      <td>BRIAR PATH &amp; WHITEMARSH LN</td>\n","      <td>345</td>\n","      <td>EMS</td>\n","      <td>DIABETIC EMERGENCY</td>\n","      <td>17</td>\n","      <td>12</td>\n","      <td>Thu</td>\n","      <td>2015-12-10</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>40.12</td>\n","      <td>-75.35</td>\n","      <td>19401.00</td>\n","      <td>Fire: GAS-ODOR/LEAK</td>\n","      <td>2015-12-10 14:39:21</td>\n","      <td>NORRISTOWN</td>\n","      <td>HAWS AVE</td>\n","      <td>:STA27</td>\n","      <td>Fire</td>\n","      <td>GAS-ODOR/LEAK</td>\n","      <td>14</td>\n","      <td>12</td>\n","      <td>Thu</td>\n","      <td>2015-12-10</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>40.12</td>\n","      <td>-75.34</td>\n","      <td>19401.00</td>\n","      <td>EMS: CARDIAC EMERGENCY</td>\n","      <td>2015-12-10 16:47:36</td>\n","      <td>NORRISTOWN</td>\n","      <td>AIRY ST &amp; SWEDE ST</td>\n","      <td>308A</td>\n","      <td>EMS</td>\n","      <td>CARDIAC EMERGENCY</td>\n","      <td>16</td>\n","      <td>12</td>\n","      <td>Thu</td>\n","      <td>2015-12-10</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>40.25</td>\n","      <td>-75.60</td>\n","      <td>NaN</td>\n","      <td>EMS: DIZZINESS</td>\n","      <td>2015-12-10 16:56:52</td>\n","      <td>LOWER POTTSGROVE</td>\n","      <td>CHERRYWOOD CT &amp; DEAD END</td>\n","      <td>329</td>\n","      <td>EMS</td>\n","      <td>DIZZINESS</td>\n","      <td>16</td>\n","      <td>12</td>\n","      <td>Thu</td>\n","      <td>2015-12-10</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["   latitude  longitude  zipcode                    title           timestamp  \\\n","0     40.30     -75.58 19525.00   EMS: BACK PAINS/INJURY 2015-12-10 17:10:52   \n","1     40.26     -75.26 19446.00  EMS: DIABETIC EMERGENCY 2015-12-10 17:29:21   \n","2     40.12     -75.35 19401.00      Fire: GAS-ODOR/LEAK 2015-12-10 14:39:21   \n","3     40.12     -75.34 19401.00   EMS: CARDIAC EMERGENCY 2015-12-10 16:47:36   \n","4     40.25     -75.60      NaN           EMS: DIZZINESS 2015-12-10 16:56:52   \n","\n","            township                     address station_num Reason_category  \\\n","0        NEW HANOVER      REINDEER CT & DEAD END         332             EMS   \n","1  HATFIELD TOWNSHIP  BRIAR PATH & WHITEMARSH LN         345             EMS   \n","2         NORRISTOWN                    HAWS AVE      :STA27            Fire   \n","3         NORRISTOWN          AIRY ST & SWEDE ST        308A             EMS   \n","4   LOWER POTTSGROVE    CHERRYWOOD CT & DEAD END         329             EMS   \n","\n","                Reason  Hour  Month DayOfWeek        Date  \n","0    BACK PAINS/INJURY    17     12       Thu  2015-12-10  \n","1   DIABETIC EMERGENCY    17     12       Thu  2015-12-10  \n","2        GAS-ODOR/LEAK    14     12       Thu  2015-12-10  \n","3    CARDIAC EMERGENCY    16     12       Thu  2015-12-10  \n","4            DIZZINESS    16     12       Thu  2015-12-10  "]},"execution_count":45,"metadata":{},"output_type":"execute_result"}],"source":["data.head()"]}],"metadata":{"kernelspec":{"display_name":"Python 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