From 9b33c72a4ce60c3b9ea1ffce52090e26ea91e3ec Mon Sep 17 00:00:00 2001 From: Giuseppe Riccio Date: Thu, 25 Aug 2022 19:37:39 +0200 Subject: [PATCH] Aggiunta dashboard Admin --- data/README.md | 2 + data/data.csv | 5435 +++++++++++++++++ data/data_preparation/README.md | 2 + data/data_preparation/data_preparation.py | 106 + .../data_viz/BreathingProblem.png | Bin 0 -> 108121 bytes data/data_preparation/data_viz/COVID-19.png | Bin 0 -> 77745 bytes data/data_preparation/data_viz/Fever.png | Bin 0 -> 99580 bytes data/data_preparation/data_viz/dry.png | Bin 0 -> 106779 bytes data/data_preparation/data_viz/sore.png | Bin 0 -> 104814 bytes data/data_preparation/dataset_statics.csv | 9 + data/data_preparation/info.txt | 28 + data/data_preparation/missing_value.csv | 22 + init_db.py | 7 + main.py | 151 + model.pkl | Bin 0 -> 868 bytes momentaneo.zip | Bin 726675 -> 0 bytes myTraining.py | 143 + requirements.txt | 15 + selftestcovid19.db | Bin 0 -> 12288 bytes selftestcovid19.sql | 14 + static/favicon.ico | Bin 0 -> 1150 bytes static/logo.png | Bin 0 -> 454076 bytes templates/About.html | 152 + templates/README.md | 2 + templates/creaFarmacia.html | 201 + templates/dashboardAdmin.html | 197 + templates/index.html | 420 ++ templates/listaFarmacie.html | 191 + templates/loginAdmin.html | 174 + templates/modificaFarmacia.html | 209 + templates/ricercaFarmacia.html | 188 + templates/rimozioneFarmacia.html | 202 + templates/show.html | 173 + templates/showMolecolare.html | 175 + templates/showRapido.html | 175 + 35 files changed, 8393 insertions(+) create mode 100644 data/README.md create mode 100644 data/data.csv create mode 100644 data/data_preparation/README.md create mode 100644 data/data_preparation/data_preparation.py create mode 100644 data/data_preparation/data_viz/BreathingProblem.png create mode 100644 data/data_preparation/data_viz/COVID-19.png create mode 100644 data/data_preparation/data_viz/Fever.png create mode 100644 data/data_preparation/data_viz/dry.png create mode 100644 data/data_preparation/data_viz/sore.png create mode 100644 data/data_preparation/dataset_statics.csv create mode 100644 data/data_preparation/info.txt create mode 100644 data/data_preparation/missing_value.csv create mode 100644 init_db.py create mode 100644 main.py create mode 100644 model.pkl delete mode 100644 momentaneo.zip create mode 100644 myTraining.py create mode 100644 requirements.txt create mode 100644 selftestcovid19.db create mode 100644 selftestcovid19.sql create mode 100644 static/favicon.ico create mode 100644 static/logo.png create mode 100644 templates/About.html create mode 100644 templates/README.md create mode 100644 templates/creaFarmacia.html create mode 100644 templates/dashboardAdmin.html create mode 100644 templates/index.html create mode 100644 templates/listaFarmacie.html create mode 100644 templates/loginAdmin.html create mode 100644 templates/modificaFarmacia.html create mode 100644 templates/ricercaFarmacia.html create mode 100644 templates/rimozioneFarmacia.html create mode 100644 templates/show.html create mode 100644 templates/showMolecolare.html create mode 100644 templates/showRapido.html diff --git a/data/README.md b/data/README.md new file mode 100644 index 0000000..d8d2b5e --- /dev/null +++ b/data/README.md @@ -0,0 +1,2 @@ +## Dati +In questa directory sarà presente il dataset di progetto e altri file utili per la preparazione del dataset. diff --git a/data/data.csv b/data/data.csv new file mode 100644 index 0000000..02ac2ec --- /dev/null +++ b/data/data.csv @@ -0,0 +1,5435 @@ +Breathing Problem,Fever,Dry Cough,Sore throat,Running Nose,Asthma,Chronic Lung Disease,Headache,Heart Disease,Diabetes,Hyper Tension,Fatigue ,Gastrointestinal ,Abroad travel,Contact with COVID Patient,Attended Large Gathering,Visited Public Exposed Places,Family working in Public Exposed Places,Wearing Masks,Sanitization from Market,COVID-19 +1,1,1,1,1,0,0,0,0,1,1,1,1,0,1,0,1,1,0,0,1 +1,1,1,1,0,1,1,1,0,0,0,1,0,0,0,1,1,0,0,0,1 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dei grafici +sns.set(context='notebook', style='darkgrid', palette='colorblind', font='sans-serif', font_scale=1, rc=None) +matplotlib.rcParams['figure.figsize'] =[8,8] +matplotlib.rcParams.update({'font.size': 15}) +matplotlib.rcParams['font.family'] = 'sans-serif' + + +# Configurazione del dataset e suddivisione dei dati in training e test set +def data_split(data, ratio): + np.random.seed(42) + shuffled = np.random.permutation(len(data)) + test_set_size = int(len(data) * ratio) + test_indices = shuffled[:test_set_size] + train_indices = shuffled[test_set_size:] + return data.iloc[train_indices], data.iloc[test_indices] + +# main +if __name__== "__main__": + + # Lettura dei dati e suddivisione dei dati con ratio 0.2 + covid = pd.read_csv('data/data.csv') + train, test = data_split(covid, 0.2) + X_train = train[['Breathing Problem', 'Fever', 'Dry Cough', 'Sore throat', + 'Running Nose', 'Asthma', 'Chronic Lung Disease', 'Headache', + 'Heart Disease', 'Diabetes', 'Hyper Tension', 'Fatigue ', + 'Gastrointestinal ', 'Abroad travel', 'Contact with COVID Patient', + 'Attended Large Gathering', 'Visited Public Exposed Places', + 'Family working in Public Exposed Places', 'Wearing Masks', + 'Sanitization from Market']].to_numpy() + + X_test = test[['Breathing Problem', 'Fever', 'Dry Cough', 'Sore throat', + 'Running Nose', 'Asthma', 'Chronic Lung Disease', 'Headache', + 'Heart Disease', 'Diabetes', 'Hyper Tension', 'Fatigue ', + 'Gastrointestinal ', 'Abroad travel', 'Contact with COVID Patient', + 'Attended Large Gathering', 'Visited Public Exposed Places', + 'Family working in Public Exposed Places', 'Wearing Masks', + 'Sanitization from Market']].to_numpy() + + Y_train = train[['COVID-19']].to_numpy().reshape(4348,) + Y_test = test[['COVID-19']].to_numpy().reshape(1086,) + +# Stampa delle informazioni del dataframe, inclusi l'indice dtype e le colonne, i valori non null e l'utilizzo della memoria. +# Scrittura delle informazioni su file.txt +with open('data/data_preparation/info.txt', 'w') as f: + covid.info(buf=f) + +# Genera statistiche descrittive +covid.describe().to_csv("data/data_preparation/dataset_statics.csv") # salvataggio su un file.csv per renderlo leggibile + + +## 4.3.1 Pulizia dei dati ## +# Verifica dei dati mancanti +missing_values=covid.isnull().sum() # valori mancanti +percent_missing = covid.isnull().sum()/covid.shape[0]*100 # valori mancanti % +value = { + 'missing_values ':missing_values, + 'percent_missing %':percent_missing +} +frame=pd.DataFrame(value) +frame.to_csv('data/data_preparation/missing_value.csv') # salvataggio su un file.csv per renderlo leggibile + + + +## 4.3.2 Visualizzazione dei dati ## +# - Il codice è commentato per evitare la sovrascrittura dei file - + +# COVID-19 +# sns_plot = sns.countplot(x='COVID-19', data=covid) +# figure = sns_plot.get_figure() +# figure.savefig('data/data_preparation/data_viz/COVID-19.png', dpi = 400) + +# Breathing Problem +# sns_breathing = sns.countplot(x='Breathing Problem',hue='COVID-19',data=covid) +# figure1 = sns_breathing.get_figure() +# figure1.savefig('data/data_preparation/data_viz/BreathingProblem.png', dpi = 400) + +# Fever +# sns_fever = sns.countplot(x='Fever', hue='COVID-19', data=covid) +# figure2 = sns_fever.get_figure() +# figure2.savefig('data/data_preparation/data_viz/Fever.png', dpi = 400) + +# Dry Cough +# sns_dry = sns.countplot(x='Dry Cough',hue='COVID-19',data=covid) +# figure3 = sns_dry.get_figure() +# figure3.savefig('data/data_preparation/data_viz/dry.png', dpi = 400) + +# Sore Throat +# sns_sore = sns.countplot(x='Sore throat',hue='COVID-19',data=covid) +# figure4 = sns_sore.get_figure() +# figure4.savefig('data/data_preparation/data_viz/sore.png', dpi = 400) + + + + + diff --git a/data/data_preparation/data_viz/BreathingProblem.png b/data/data_preparation/data_viz/BreathingProblem.png new file mode 100644 index 0000000000000000000000000000000000000000..8a310dcaca9db1d0d7544bebe22539dd4488c1d7 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