build-an-app-for-public-health-1.ipynb

{"cells":[{"source":"<a href=\"https://www.kaggle.com/code/ndohmoise/build-an-app-for-public-health-1?scriptVersionId=150828852\" target=\"_blank\"><img align=\"left\" alt=\"Kaggle\" title=\"Open in Kaggle\" src=\"https://kaggle.com/static/images/open-in-kaggle.svg\"></a>","metadata":{},"cell_type":"markdown"},{"cell_type":"code","execution_count":1,"id":"d341a189","metadata":{"execution":{"iopub.execute_input":"2023-11-15T13:47:33.573187Z","iopub.status.busy":"2023-11-15T13:47:33.572516Z","iopub.status.idle":"2023-11-15T13:47:36.47557Z","shell.execute_reply":"2023-11-15T13:47:36.473768Z"},"papermill":{"duration":2.925546,"end_time":"2023-11-15T13:47:36.478211","exception":false,"start_time":"2023-11-15T13:47:33.552665","status":"completed"},"tags":[]},"outputs":[],"source":["#importation des bibliothèques nécessaires\n","import pandas as pd\n","import numpy as np\n","import seaborn as sns\n","import matplotlib.pyplot as plt\n","#permet d'identifier les valeurs manquantes par dessin avant l'apprentissage automatique\n","import missingno as msno\n","#permet d'imputer afin de compléter les valeurs manquantes à l'aide des k-voisins les plus proches\n","from sklearn.impute import KNNImputer\n","#permet l'analyse des donnéees statistiques\n","from scipy.stats import pearsonr\n","#il s'agit d'un estimateur qui permet de standardiser les données\n","from sklearn.experimental import enable_iterative_imputer\n","#il permet de standardiser les données\n","from sklearn.impute import IterativeImputer\n","#il permet de standardiser les données avec la fonction minmax ((x-xmin)/(xmin-xmax))\n","from sklearn.preprocessing import MinMaxScaler\n","#gestion avec knn\n","from sklearn.neighbors import KNeighborsClassifier\n","from sklearn.model_selection import train_test_split"]},{"cell_type":"code","execution_count":2,"id":"821c088d","metadata":{"execution":{"iopub.execute_input":"2023-11-15T13:47:36.512606Z","iopub.status.busy":"2023-11-15T13:47:36.512105Z","iopub.status.idle":"2023-11-15T13:48:56.799373Z","shell.execute_reply":"2023-11-15T13:48:56.798384Z"},"papermill":{"duration":80.306659,"end_time":"2023-11-15T13:48:56.8015","exception":false,"start_time":"2023-11-15T13:47:36.494841","status":"completed"},"tags":[]},"outputs":[{"name":"stderr","output_type":"stream","text":["/tmp/ipykernel_20/560133198.py:1: DtypeWarning: Columns (0,24,25,26,28,44,49) have mixed types. Specify dtype option on import or set low_memory=False.\n","  data_food = pd.read_csv('/kaggle/input/fropenfoodfactsorg-2020/fr.openfoodfacts.org.products.csv', sep='\\t')\n"]},{"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>code</th>\n","      <th>url</th>\n","      <th>creator</th>\n","      <th>created_t</th>\n","      <th>created_datetime</th>\n","      <th>last_modified_t</th>\n","      <th>last_modified_datetime</th>\n","      <th>product_name</th>\n","      <th>generic_name</th>\n","      <th>quantity</th>\n","      <th>...</th>\n","      <th>carbon-footprint-from-meat-or-fish_100g</th>\n","      <th>nutrition-score-fr_100g</th>\n","      <th>nutrition-score-uk_100g</th>\n","      <th>glycemic-index_100g</th>\n","      <th>water-hardness_100g</th>\n","      <th>choline_100g</th>\n","      <th>phylloquinone_100g</th>\n","      <th>beta-glucan_100g</th>\n","      <th>inositol_100g</th>\n","      <th>carnitine_100g</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>0000000000017</td>\n","      <td>http://world-fr.openfoodfacts.org/produit/0000...</td>\n","      <td>kiliweb</td>\n","      <td>1529059080</td>\n","      <td>2018-06-15T10:38:00Z</td>\n","      <td>1561463718</td>\n","      <td>2019-06-25T11:55:18Z</td>\n","      <td>Vitória crackers</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>...</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>0000000000031</td>\n","      <td>http://world-fr.openfoodfacts.org/produit/0000...</td>\n","      <td>isagoofy</td>\n","      <td>1539464774</td>\n","      <td>2018-10-13T21:06:14Z</td>\n","      <td>1539464817</td>\n","      <td>2018-10-13T21:06:57Z</td>\n","      <td>Cacao</td>\n","      <td>NaN</td>\n","      <td>130 g</td>\n","      <td>...</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>000000000003327986</td>\n","      <td>http://world-fr.openfoodfacts.org/produit/0000...</td>\n","      <td>kiliweb</td>\n","      <td>1574175736</td>\n","      <td>2019-11-19T15:02:16Z</td>\n","      <td>1574175737</td>\n","      <td>2019-11-19T15:02:17Z</td>\n","      <td>Filetes de pollo empanado</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>...</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>0000000000100</td>\n","      <td>http://world-fr.openfoodfacts.org/produit/0000...</td>\n","      <td>del51</td>\n","      <td>1444572561</td>\n","      <td>2015-10-11T14:09:21Z</td>\n","      <td>1444659212</td>\n","      <td>2015-10-12T14:13:32Z</td>\n","      <td>moutarde au moût de raisin</td>\n","      <td>NaN</td>\n","      <td>100g</td>\n","      <td>...</td>\n","      <td>NaN</td>\n","      <td>18.0</td>\n","      <td>18.0</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>00000000001111111111</td>\n","      <td>http://world-fr.openfoodfacts.org/produit/0000...</td>\n","      <td>openfoodfacts-contributors</td>\n","      <td>1560020173</td>\n","      <td>2019-06-08T18:56:13Z</td>\n","      <td>1560020173</td>\n","      <td>2019-06-08T18:56:13Z</td>\n","      <td>Sfiudwx</td>\n","      <td>NaN</td>\n","      <td>dgesc</td>\n","      <td>...</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>1146390</th>\n","      <td>9999999175305</td>\n","      <td>http://world-fr.openfoodfacts.org/produit/9999...</td>\n","      <td>sil</td>\n","      <td>1577002381</td>\n","      <td>2019-12-22T08:13:01Z</td>\n","      <td>1577083824</td>\n","      <td>2019-12-23T06:50:24Z</td>\n","      <td>Erdbeerkuchen 1019g tiefgefroren</td>\n","      <td>NaN</td>\n","      <td>1,019 kg</td>\n","      <td>...</td>\n","      <td>NaN</td>\n","      <td>12.0</td>\n","      <td>12.0</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <th>1146391</th>\n","      <td>99999995</td>\n","      <td>http://world-fr.openfoodfacts.org/produit/9999...</td>\n","      <td>kiliweb</td>\n","      <td>1538818432</td>\n","      <td>2018-10-06T09:33:52Z</td>\n","      <td>1552167501</td>\n","      <td>2019-03-09T21:38:21Z</td>\n","      <td>Steak haché pur boeuf</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>...</td>\n","      <td>NaN</td>\n","      <td>-2.0</td>\n","      <td>-2.0</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <th>1146392</th>\n","      <td>9999999900686</td>\n","      <td>http://world-fr.openfoodfacts.org/produit/9999...</td>\n","      <td>kiliweb</td>\n","      <td>1563261470</td>\n","      <td>2019-07-16T07:17:50Z</td>\n","      <td>1563261481</td>\n","      <td>2019-07-16T07:18:01Z</td>\n","      <td>Marrons glacés</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>...</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <th>1146393</th>\n","      <td>9999999910128</td>\n","      <td>http://world-fr.openfoodfacts.org/produit/9999...</td>\n","      <td>kiliweb</td>\n","      <td>1572513866</td>\n","      <td>2019-10-31T09:24:26Z</td>\n","      <td>1572513866</td>\n","      <td>2019-10-31T09:24:26Z</td>\n","      <td>Sandwich club Rillette poisson combava</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>...</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <th>1146394</th>\n","      <td>9999999990397</td>\n","      <td>http://world-fr.openfoodfacts.org/produit/9999...</td>\n","      <td>kiliweb</td>\n","      <td>1581171613</td>\n","      <td>2020-02-08T14:20:13Z</td>\n","      <td>1581172415</td>\n","      <td>2020-02-08T14:33:35Z</td>\n","      <td>Fati</td>\n","      <td>NaN</td>\n","      <td>440 g</td>\n","      <td>...</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>1146395 rows × 178 columns</p>\n","</div>"],"text/plain":["                         code  \\\n","0               0000000000017   \n","1               0000000000031   \n","2          000000000003327986   \n","3               0000000000100   \n","4        00000000001111111111   \n","...                       ...   \n","1146390         9999999175305   \n","1146391              99999995   \n","1146392         9999999900686   \n","1146393         9999999910128   \n","1146394         9999999990397   \n","\n","                                                       url  \\\n","0        http://world-fr.openfoodfacts.org/produit/0000...   \n","1        http://world-fr.openfoodfacts.org/produit/0000...   \n","2        http://world-fr.openfoodfacts.org/produit/0000...   \n","3        http://world-fr.openfoodfacts.org/produit/0000...   \n","4        http://world-fr.openfoodfacts.org/produit/0000...   \n","...                                                    ...   \n","1146390  http://world-fr.openfoodfacts.org/produit/9999...   \n","1146391  http://world-fr.openfoodfacts.org/produit/9999...   \n","1146392  http://world-fr.openfoodfacts.org/produit/9999...   \n","1146393  http://world-fr.openfoodfacts.org/produit/9999...   \n","1146394  http://world-fr.openfoodfacts.org/produit/9999...   \n","\n","                            creator   created_t      created_datetime  \\\n","0                           kiliweb  1529059080  2018-06-15T10:38:00Z   \n","1                          isagoofy  1539464774  2018-10-13T21:06:14Z   \n","2                           kiliweb  1574175736  2019-11-19T15:02:16Z   \n","3                             del51  1444572561  2015-10-11T14:09:21Z   \n","4        openfoodfacts-contributors  1560020173  2019-06-08T18:56:13Z   \n","...                             ...         ...                   ...   \n","1146390                         sil  1577002381  2019-12-22T08:13:01Z   \n","1146391                     kiliweb  1538818432  2018-10-06T09:33:52Z   \n","1146392                     kiliweb  1563261470  2019-07-16T07:17:50Z   \n","1146393                     kiliweb  1572513866  2019-10-31T09:24:26Z   \n","1146394                     kiliweb  1581171613  2020-02-08T14:20:13Z   \n","\n","         last_modified_t last_modified_datetime  \\\n","0             1561463718   2019-06-25T11:55:18Z   \n","1             1539464817   2018-10-13T21:06:57Z   \n","2             1574175737   2019-11-19T15:02:17Z   \n","3             1444659212   2015-10-12T14:13:32Z   \n","4             1560020173   2019-06-08T18:56:13Z   \n","...                  ...                    ...   \n","1146390       1577083824   2019-12-23T06:50:24Z   \n","1146391       1552167501   2019-03-09T21:38:21Z   \n","1146392       1563261481   2019-07-16T07:18:01Z   \n","1146393       1572513866   2019-10-31T09:24:26Z   \n","1146394       1581172415   2020-02-08T14:33:35Z   \n","\n","                                   product_name generic_name  quantity  ...  \\\n","0                              Vitória crackers          NaN       NaN  ...   \n","1                                         Cacao          NaN     130 g  ...   \n","2                     Filetes de pollo empanado          NaN       NaN  ...   \n","3                   moutarde au moût de raisin           NaN      100g  ...   \n","4                                       Sfiudwx          NaN     dgesc  ...   \n","...                                         ...          ...       ...  ...   \n","1146390        Erdbeerkuchen 1019g tiefgefroren          NaN  1,019 kg  ...   \n","1146391                   Steak haché pur boeuf          NaN       NaN  ...   \n","1146392                          Marrons glacés          NaN       NaN  ...   \n","1146393  Sandwich club Rillette poisson combava          NaN       NaN  ...   \n","1146394                                    Fati          NaN     440 g  ...   \n","\n","        carbon-footprint-from-meat-or-fish_100g nutrition-score-fr_100g  \\\n","0                                           NaN                     NaN   \n","1                                           NaN                     NaN   \n","2                                           NaN                     NaN   \n","3                                           NaN                    18.0   \n","4                                           NaN                     NaN   \n","...                                         ...                     ...   \n","1146390                                     NaN                    12.0   \n","1146391                                     NaN                    -2.0   \n","1146392                                     NaN                     NaN   \n","1146393                                     NaN                     NaN   \n","1146394                                     NaN                     NaN   \n","\n","        nutrition-score-uk_100g glycemic-index_100g water-hardness_100g  \\\n","0                           NaN                 NaN                 NaN   \n","1                           NaN                 NaN                 NaN   \n","2                           NaN                 NaN                 NaN   \n","3                          18.0                 NaN                 NaN   \n","4                           NaN                 NaN                 NaN   \n","...                         ...                 ...                 ...   \n","1146390                    12.0                 NaN                 NaN   \n","1146391                    -2.0                 NaN                 NaN   \n","1146392                     NaN                 NaN                 NaN   \n","1146393                     NaN                 NaN                 NaN   \n","1146394                     NaN                 NaN                 NaN   \n","\n","        choline_100g phylloquinone_100g beta-glucan_100g inositol_100g  \\\n","0                NaN                NaN              NaN           NaN   \n","1                NaN                NaN              NaN           NaN   \n","2                NaN                NaN              NaN           NaN   \n","3                NaN                NaN              NaN           NaN   \n","4                NaN                NaN              NaN           NaN   \n","...              ...                ...              ...           ...   \n","1146390          NaN                NaN              NaN           NaN   \n","1146391          NaN                NaN              NaN           NaN   \n","1146392          NaN                NaN              NaN           NaN   \n","1146393          NaN                NaN              NaN           NaN   \n","1146394          NaN                NaN              NaN           NaN   \n","\n","        carnitine_100g  \n","0                  NaN  \n","1                  NaN  \n","2                  NaN  \n","3                  NaN  \n","4                  NaN  \n","...                ...  \n","1146390            NaN  \n","1146391            NaN  \n","1146392            NaN  \n","1146393            NaN  \n","1146394            NaN  \n","\n","[1146395 rows x 178 columns]"]},"execution_count":2,"metadata":{},"output_type":"execute_result"}],"source":["data_food = pd.read_csv('/kaggle/input/fropenfoodfactsorg-2020/fr.openfoodfacts.org.products.csv', sep='\\t')\n","data_food"]},{"cell_type":"code","execution_count":3,"id":"d6e95335","metadata":{"execution":{"iopub.execute_input":"2023-11-15T13:48:56.847774Z","iopub.status.busy":"2023-11-15T13:48:56.847332Z","iopub.status.idle":"2023-11-15T13:48:56.854617Z","shell.execute_reply":"2023-11-15T13:48:56.852984Z"},"papermill":{"duration":0.033618,"end_time":"2023-11-15T13:48:56.856987","exception":false,"start_time":"2023-11-15T13:48:56.823369","status":"completed"},"tags":[]},"outputs":[],"source":["#mise en place de la fontion pourcentage des données\n","def pourcentage(data):\n","  n = data.shape[0]\n","  ret = pd.DataFrame(data.isnull().sum(), columns=['nb_manquants'])\n","  ret['pourcentage_manquant'] = (ret['nb_manquants']/n)*100\n","  ret['types'] = data.dtypes\n","  ret['doublons'] = data.duplicated()\n","  return ret"]},{"cell_type":"code","execution_count":4,"id":"1e64eb1c","metadata":{"execution":{"iopub.execute_input":"2023-11-15T13:48:56.897518Z","iopub.status.busy":"2023-11-15T13:48:56.89687Z","iopub.status.idle":"2023-11-15T13:48:56.904276Z","shell.execute_reply":"2023-11-15T13:48:56.902927Z"},"papermill":{"duration":0.028041,"end_time":"2023-11-15T13:48:56.906192","exception":false,"start_time":"2023-11-15T13:48:56.878151","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["(1146395, 178)"]},"execution_count":4,"metadata":{},"output_type":"execute_result"}],"source":["#déterminons la taille\n","data_food.shape"]},{"cell_type":"code","execution_count":5,"id":"a4e5d578","metadata":{"execution":{"iopub.execute_input":"2023-11-15T13:48:57.020845Z","iopub.status.busy":"2023-11-15T13:48:57.020465Z","iopub.status.idle":"2023-11-15T13:49:11.462973Z","shell.execute_reply":"2023-11-15T13:49:11.461938Z"},"papermill":{"duration":14.541527,"end_time":"2023-11-15T13:49:11.465295","exception":false,"start_time":"2023-11-15T13:48:56.923768","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>nb_manquants</th>\n","      <th>pourcentage_manquant</th>\n","      <th>types</th>\n","      <th>doublons</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>code</th>\n","      <td>0</td>\n","      <td>0.000000</td>\n","      <td>object</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <th>url</th>\n","      <td>0</td>\n","      <td>0.000000</td>\n","      <td>object</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <th>creator</th>\n","      <td>4</td>\n","      <td>0.000349</td>\n","      <td>object</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <th>created_t</th>\n","      <td>0</td>\n","      <td>0.000000</td>\n","      <td>int64</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <th>created_datetime</th>\n","      <td>1</td>\n","      <td>0.000087</td>\n","      <td>object</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>choline_100g</th>\n","      <td>1146358</td>\n","      <td>99.996772</td>\n","      <td>float64</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <th>phylloquinone_100g</th>\n","      <td>1146388</td>\n","      <td>99.999389</td>\n","      <td>float64</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <th>beta-glucan_100g</th>\n","      <td>1146373</td>\n","      <td>99.998081</td>\n","      <td>float64</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <th>inositol_100g</th>\n","      <td>1146356</td>\n","      <td>99.996598</td>\n","      <td>float64</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <th>carnitine_100g</th>\n","      <td>1146378</td>\n","      <td>99.998517</td>\n","      <td>float64</td>\n","      <td>NaN</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>178 rows × 4 columns</p>\n","</div>"],"text/plain":["                    nb_manquants  pourcentage_manquant    types doublons\n","code                           0              0.000000   object      NaN\n","url                            0              0.000000   object      NaN\n","creator                        4              0.000349   object      NaN\n","created_t                      0              0.000000    int64      NaN\n","created_datetime               1              0.000087   object      NaN\n","...                          ...                   ...      ...      ...\n","choline_100g             1146358             99.996772  float64      NaN\n","phylloquinone_100g       1146388             99.999389  float64      NaN\n","beta-glucan_100g         1146373             99.998081  float64      NaN\n","inositol_100g            1146356             99.996598  float64      NaN\n","carnitine_100g           1146378             99.998517  float64      NaN\n","\n","[178 rows x 4 columns]"]},"execution_count":5,"metadata":{},"output_type":"execute_result"}],"source":["#voyons les tendances de données manquantes\n","pourcentage(data_food)"]},{"cell_type":"code","execution_count":6,"id":"4899394f","metadata":{"execution":{"iopub.execute_input":"2023-11-15T13:49:11.502724Z","iopub.status.busy":"2023-11-15T13:49:11.501101Z","iopub.status.idle":"2023-11-15T13:49:11.643952Z","shell.execute_reply":"2023-11-15T13:49:11.642884Z"},"papermill":{"duration":0.163782,"end_time":"2023-11-15T13:49:11.646304","exception":false,"start_time":"2023-11-15T13:49:11.482522","status":"completed"},"tags":[]},"outputs":[],"source":["#nous remarquons qu'il y'a énormément de variables avec des valeurs manquantes\n","#séparons d'abord les données quantitatives\n","data_food_num = data_food.select_dtypes(include=['float64', 'int64'])"]},{"cell_type":"code","execution_count":7,"id":"80d488f7","metadata":{"execution":{"iopub.execute_input":"2023-11-15T13:49:11.681814Z","iopub.status.busy":"2023-11-15T13:49:11.681523Z","iopub.status.idle":"2023-11-15T13:49:12.179281Z","shell.execute_reply":"2023-11-15T13:49:12.177494Z"},"papermill":{"duration":0.519064,"end_time":"2023-11-15T13:49:12.182745","exception":false,"start_time":"2023-11-15T13:49:11.663681","status":"completed"},"tags":[]},"outputs":[],"source":["#séparons les données qualitatives\n","data_food_string = data_food.select_dtypes(include=['O'])"]},{"cell_type":"code","execution_count":8,"id":"5fd7f192","metadata":{"execution":{"iopub.execute_input":"2023-11-15T13:49:12.219709Z","iopub.status.busy":"2023-11-15T13:49:12.219304Z","iopub.status.idle":"2023-11-15T13:49:12.227584Z","shell.execute_reply":"2023-11-15T13:49:12.225536Z"},"papermill":{"duration":0.030136,"end_time":"2023-11-15T13:49:12.230756","exception":false,"start_time":"2023-11-15T13:49:12.20062","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["Index(['created_t', 'last_modified_t', 'cities', 'allergens_fr',\n","       'serving_quantity', 'no_nutriments', 'additives_n',\n","       'ingredients_from_palm_oil_n', 'ingredients_from_palm_oil',\n","       'ingredients_that_may_be_from_palm_oil_n',\n","       ...\n","       'carbon-footprint-from-meat-or-fish_100g', 'nutrition-score-fr_100g',\n","       'nutrition-score-uk_100g', 'glycemic-index_100g', 'water-hardness_100g',\n","       'choline_100g', 'phylloquinone_100g', 'beta-glucan_100g',\n","       'inositol_100g', 'carnitine_100g'],\n","      dtype='object', length=122)"]},"execution_count":8,"metadata":{},"output_type":"execute_result"}],"source":["#affichons les colonnes des nouvelles variables\n","#variables quantitatives\n","data_food_num.columns"]},{"cell_type":"code","execution_count":9,"id":"7d152ae8","metadata":{"execution":{"iopub.execute_input":"2023-11-15T13:49:12.271553Z","iopub.status.busy":"2023-11-15T13:49:12.271207Z","iopub.status.idle":"2023-11-15T13:49:12.279317Z","shell.execute_reply":"2023-11-15T13:49:12.278282Z"},"papermill":{"duration":0.030999,"end_time":"2023-11-15T13:49:12.281563","exception":false,"start_time":"2023-11-15T13:49:12.250564","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["Index(['code', 'url', 'creator', 'created_datetime', 'last_modified_datetime',\n","       'product_name', 'generic_name', 'quantity', 'packaging',\n","       'packaging_tags', 'brands', 'brands_tags', 'categories',\n","       'categories_tags', 'categories_fr', 'origins', 'origins_tags',\n","       'manufacturing_places', 'manufacturing_places_tags', 'labels',\n","       'labels_tags', 'labels_fr', 'emb_codes', 'emb_codes_tags',\n","       'first_packaging_code_geo', 'cities_tags', 'purchase_places', 'stores',\n","       'countries', 'countries_tags', 'countries_fr', 'ingredients_text',\n","       'allergens', 'traces', 'traces_tags', 'traces_fr', 'serving_size',\n","       'additives', 'additives_tags', 'additives_fr',\n","       'ingredients_from_palm_oil_tags',\n","       'ingredients_that_may_be_from_palm_oil_tags', 'nutriscore_grade',\n","       'pnns_groups_1', 'pnns_groups_2', 'states', 'states_tags', 'states_fr',\n","       'main_category', 'main_category_fr', 'image_url', 'image_small_url',\n","       'image_ingredients_url', 'image_ingredients_small_url',\n","       'image_nutrition_url', 'image_nutrition_small_url'],\n","      dtype='object')"]},"execution_count":9,"metadata":{},"output_type":"execute_result"}],"source":["#affichons les colonnes des nouvelles variables quantitatives\n","data_food_string.columns"]},{"cell_type":"code","execution_count":10,"id":"36e7700e","metadata":{"execution":{"iopub.execute_input":"2023-11-15T13:49:12.322944Z","iopub.status.busy":"2023-11-15T13:49:12.322619Z","iopub.status.idle":"2023-11-15T13:49:14.293975Z","shell.execute_reply":"2023-11-15T13:49:14.292715Z"},"papermill":{"duration":1.995138,"end_time":"2023-11-15T13:49:14.296175","exception":false,"start_time":"2023-11-15T13:49:12.301037","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["code                        0\n","url                         0\n","creator                     4\n","created_t                   0\n","created_datetime            1\n","                       ...   \n","choline_100g          1146358\n","phylloquinone_100g    1146388\n","beta-glucan_100g      1146373\n","inositol_100g         1146356\n","carnitine_100g        1146378\n","Length: 178, dtype: int64"]},"execution_count":10,"metadata":{},"output_type":"execute_result"}],"source":["data_food.isna().sum()"]},{"cell_type":"code","execution_count":11,"id":"6cceed62","metadata":{"execution":{"iopub.execute_input":"2023-11-15T13:49:14.332943Z","iopub.status.busy":"2023-11-15T13:49:14.332594Z","iopub.status.idle":"2023-11-15T13:49:14.339718Z","shell.execute_reply":"2023-11-15T13:49:14.337842Z"},"papermill":{"duration":0.028756,"end_time":"2023-11-15T13:49:14.342802","exception":false,"start_time":"2023-11-15T13:49:14.314046","status":"completed"},"tags":[]},"outputs":[],"source":["#cherchons les variables avec le plus de valeurs manquantes\n","def null_factor(df, tx):\n","    null_rate = ((df.isnull().sum() / df.shape[0])*100).sort_values(ascending=False).reset_index()\n","    null_rate.columns = ['Variable','Taux_de_Null']\n","    high_null_rate = null_rate[null_rate.Taux_de_Null >= tx]\n","    return high_null_rate"]},{"cell_type":"code","execution_count":12,"id":"5e62f534","metadata":{"execution":{"iopub.execute_input":"2023-11-15T13:49:14.38173Z","iopub.status.busy":"2023-11-15T13:49:14.381334Z","iopub.status.idle":"2023-11-15T13:49:16.379057Z","shell.execute_reply":"2023-11-15T13:49:16.377596Z"},"papermill":{"duration":2.019899,"end_time":"2023-11-15T13:49:16.381274","exception":false,"start_time":"2023-11-15T13:49:14.361375","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>Variable</th>\n","      <th>Taux_de_Null</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>mead-acid_100g</td>\n","      <td>100.0</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>erucic-acid_100g</td>\n","      <td>100.0</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>ingredients_that_may_be_from_palm_oil</td>\n","      <td>100.0</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>gondoic-acid_100g</td>\n","      <td>100.0</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>elaidic-acid_100g</td>\n","      <td>100.0</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>no_nutriments</td>\n","      <td>100.0</td>\n","    </tr>\n","    <tr>\n","      <th>6</th>\n","      <td>water-hardness_100g</td>\n","      <td>100.0</td>\n","    </tr>\n","    <tr>\n","      <th>7</th>\n","      <td>nervonic-acid_100g</td>\n","      <td>100.0</td>\n","    </tr>\n","    <tr>\n","      <th>8</th>\n","      <td>melissic-acid_100g</td>\n","      <td>100.0</td>\n","    </tr>\n","    <tr>\n","      <th>9</th>\n","      <td>allergens_fr</td>\n","      <td>100.0</td>\n","    </tr>\n","    <tr>\n","      <th>10</th>\n","      <td>cities</td>\n","      <td>100.0</td>\n","    </tr>\n","    <tr>\n","      <th>11</th>\n","      <td>lignoceric-acid_100g</td>\n","      <td>100.0</td>\n","    </tr>\n","    <tr>\n","      <th>12</th>\n","      <td>ingredients_from_palm_oil</td>\n","      <td>100.0</td>\n","    </tr>\n","    <tr>\n","      <th>13</th>\n","      <td>caproic-acid_100g</td>\n","      <td>100.0</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                                 Variable  Taux_de_Null\n","0                          mead-acid_100g         100.0\n","1                        erucic-acid_100g         100.0\n","2   ingredients_that_may_be_from_palm_oil         100.0\n","3                       gondoic-acid_100g         100.0\n","4                       elaidic-acid_100g         100.0\n","5                           no_nutriments         100.0\n","6                     water-hardness_100g         100.0\n","7                      nervonic-acid_100g         100.0\n","8                      melissic-acid_100g         100.0\n","9                            allergens_fr         100.0\n","10                                 cities         100.0\n","11                   lignoceric-acid_100g         100.0\n","12              ingredients_from_palm_oil         100.0\n","13                      caproic-acid_100g         100.0"]},"execution_count":12,"metadata":{},"output_type":"execute_result"}],"source":["#affichons les variables avec 100% de valeurs manquantes\n","null_factor(data_food, 100)"]},{"cell_type":"code","execution_count":13,"id":"f60c7ef4","metadata":{"execution":{"iopub.execute_input":"2023-11-15T13:49:16.417969Z","iopub.status.busy":"2023-11-15T13:49:16.417516Z","iopub.status.idle":"2023-11-15T13:49:20.74722Z","shell.execute_reply":"2023-11-15T13:49:20.745486Z"},"papermill":{"duration":4.350654,"end_time":"2023-11-15T13:49:20.749497","exception":false,"start_time":"2023-11-15T13:49:16.398843","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 2000x3500 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["#Affichons le taux de remplissage des variables et afin d'avoir un jeu de données pertinent pour notre analyse,\n","#nous décidons de ne considérer que les variables ayant un taux de remplissage supérieur ou egal à 25%.\n","filling_features = null_factor(data_food, 0)\n","filling_features[\"taux_de_remplissage\"] = 100-filling_features['Taux_de_Null']\n","filling_features = filling_features.sort_values(\"taux_de_remplissage\", ascending=False)\n","\n","#définition du seuil\n","sup_threshold = 25\n","fig = plt.figure(figsize=(20, 35))\n","font_title = {'family': 'serif',\n","              'color': '#114b98',\n","              'weight': 'bold',\n","              'size': 18,\n","              }\n","\n","sns.barplot(x='taux_de_remplissage', y='Variable', data=filling_features, palette=\"flare\")\n","\n","#seuil pour suppression des variables\n","plt.axvline(x=sup_threshold, linewidth=2, color='r')\n","plt.text(sup_threshold+2, 65, 'Seuil de suppression des variables', fontsize=\"16\", color='b')\n","\n","plt.title(\"Taux de remplissage des variables dans le jeu de données (%)\", fontdict=font_title)\n","plt.xlabel(\"Taux de remplissage (%)\")\n","plt.show()"]},{"cell_type":"code","execution_count":14,"id":"ffbe84c9","metadata":{"execution":{"iopub.execute_input":"2023-11-15T13:49:20.799056Z","iopub.status.busy":"2023-11-15T13:49:20.797647Z","iopub.status.idle":"2023-11-15T13:49:30.968871Z","shell.execute_reply":"2023-11-15T13:49:30.967249Z"},"papermill":{"duration":10.199095,"end_time":"2023-11-15T13:49:30.97131","exception":false,"start_time":"2023-11-15T13:49:20.772215","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["Index(['code', 'created_t', 'last_modified_t', 'last_modified_datetime',\n","       'states_fr', 'states_tags', 'states', 'url', 'created_datetime',\n","       'creator', 'pnns_groups_2', 'countries', 'countries_fr',\n","       'countries_tags', 'pnns_groups_1', 'product_name', 'energy_100g',\n","       'proteins_100g', 'fat_100g', 'carbohydrates_100g', 'salt_100g',\n","       'sodium_100g', 'sugars_100g', 'image_small_url', 'image_url',\n","       'saturated-fat_100g', 'energy-kcal_100g', 'brands', 'brands_tags',\n","       'image_ingredients_url', 'image_ingredients_small_url',\n","       'ingredients_text', 'ingredients_that_may_be_from_palm_oil_n',\n","       'ingredients_from_palm_oil_n', 'additives_n', 'image_nutrition_url',\n","       'image_nutrition_small_url', 'categories', 'categories_tags',\n","       'categories_fr', 'main_category', 'main_category_fr', 'quantity',\n","       'nova_group', 'nutrition-score-uk_100g', 'nutrition-score-fr_100g',\n","       'nutriscore_score', 'nutriscore_grade', 'fiber_100g'],\n","      dtype='object')"]},"execution_count":14,"metadata":{},"output_type":"execute_result"}],"source":["#mettons donc en place la liste des varialbles à conserver\n","features_to_conserve = list(filling_features.loc[filling_features['taux_de_remplissage']>=sup_threshold, 'Variable'].values)\n","data_food_25 = data_food[features_to_conserve].sort_values([\"created_datetime\",\"last_modified_datetime\"], ascending=True)\n","data_food_25.columns"]},{"cell_type":"code","execution_count":15,"id":"113f9047","metadata":{"execution":{"iopub.execute_input":"2023-11-15T13:49:31.020742Z","iopub.status.busy":"2023-11-15T13:49:31.019627Z","iopub.status.idle":"2023-11-15T13:49:42.618911Z","shell.execute_reply":"2023-11-15T13:49:42.618205Z"},"papermill":{"duration":11.627488,"end_time":"2023-11-15T13:49:42.621292","exception":false,"start_time":"2023-11-15T13:49:30.993804","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["65"]},"execution_count":15,"metadata":{},"output_type":"execute_result"}],"source":["#cherchons les doublons pour chaque variable des 50 restants\n","data_food_25.duplicated().sum()"]},{"cell_type":"code","execution_count":16,"id":"9cdff982","metadata":{"execution":{"iopub.execute_input":"2023-11-15T13:49:42.667861Z","iopub.status.busy":"2023-11-15T13:49:42.666995Z","iopub.status.idle":"2023-11-15T13:49:53.849136Z","shell.execute_reply":"2023-11-15T13:49:53.847757Z"},"papermill":{"duration":11.208623,"end_time":"2023-11-15T13:49:53.852035","exception":false,"start_time":"2023-11-15T13:49:42.643412","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["0"]},"execution_count":16,"metadata":{},"output_type":"execute_result"}],"source":["#supprimons les doublons en conservant les valeurs nulles\n","data_food_25 = data_food_25[~(data_food_25.duplicated('code',keep='last')) | (data_food_25['code'].isnull())]\n","data_food_25.duplicated().sum()"]},{"cell_type":"code","execution_count":17,"id":"02777b70","metadata":{"execution":{"iopub.execute_input":"2023-11-15T13:49:53.897377Z","iopub.status.busy":"2023-11-15T13:49:53.896992Z","iopub.status.idle":"2023-11-15T13:49:54.177092Z","shell.execute_reply":"2023-11-15T13:49:54.175694Z"},"papermill":{"duration":0.305979,"end_time":"2023-11-15T13:49:54.180295","exception":false,"start_time":"2023-11-15T13:49:53.874316","status":"completed"},"tags":[]},"outputs":[],"source":["#Conservons les features nutritionnelles et catégorielles des produits utiles à notre problématique\n","data_food_25=data_food_25[[ 'code','product_name', 'countries_fr', 'energy_100g', 'fat_100g','saturated-fat_100g', \n","                       'carbohydrates_100g', 'sugars_100g', 'fiber_100g', 'proteins_100g', 'salt_100g', 'sodium_100g',\n","                       'nutriscore_grade','nutrition-score-fr_100g']]"]},{"cell_type":"code","execution_count":18,"id":"ae29d0f2","metadata":{"execution":{"iopub.execute_input":"2023-11-15T13:49:54.23019Z","iopub.status.busy":"2023-11-15T13:49:54.229552Z","iopub.status.idle":"2023-11-15T13:49:54.349578Z","shell.execute_reply":"2023-11-15T13:49:54.348662Z"},"papermill":{"duration":0.148851,"end_time":"2023-11-15T13:49:54.352389","exception":false,"start_time":"2023-11-15T13:49:54.203538","status":"completed"},"tags":[]},"outputs":[],"source":["#ajoutons les features catégorielles utiles pour catégoriser les produits \n","data_food_25['pnns_groups_1']=data_food['pnns_groups_1']\n","data_food_25['pnns_groups_2']=data_food['pnns_groups_2']"]},{"cell_type":"markdown","id":"bffa43d6","metadata":{"papermill":{"duration":0.023558,"end_time":"2023-11-15T13:49:54.398855","exception":false,"start_time":"2023-11-15T13:49:54.375297","status":"completed"},"tags":[]},"source":["En rapport avec notre problématique(diabétique résident en France nous allons considérer que les produits qu'on pourra trouver en France:"]},{"cell_type":"code","execution_count":19,"id":"cf9ca848","metadata":{"execution":{"iopub.execute_input":"2023-11-15T13:49:54.447969Z","iopub.status.busy":"2023-11-15T13:49:54.447637Z","iopub.status.idle":"2023-11-15T13:49:55.335562Z","shell.execute_reply":"2023-11-15T13:49:55.334092Z"},"papermill":{"duration":0.916056,"end_time":"2023-11-15T13:49:55.338801","exception":false,"start_time":"2023-11-15T13:49:54.422745","status":"completed"},"tags":[]},"outputs":[],"source":["choosen_France = data_food_25['countries_fr'].str.contains('France', case=False, na=False)\n","data_food_25['countries_fr'] = data_food_25[choosen_France]['countries_fr']\n","data_food_25 = data_food_25[~((data_food_25.countries_fr.isnull()))]"]},{"cell_type":"markdown","id":"8a55991c","metadata":{"papermill":{"duration":0.021647,"end_time":"2023-11-15T13:49:55.383387","exception":false,"start_time":"2023-11-15T13:49:55.36174","status":"completed"},"tags":[]},"source":["Un aperçu de la variable countries_fr:"]},{"cell_type":"code","execution_count":20,"id":"91547bcd","metadata":{"execution":{"iopub.execute_input":"2023-11-15T13:49:55.428386Z","iopub.status.busy":"2023-11-15T13:49:55.427682Z","iopub.status.idle":"2023-11-15T13:49:55.433954Z","shell.execute_reply":"2023-11-15T13:49:55.433304Z"},"papermill":{"duration":0.030915,"end_time":"2023-11-15T13:49:55.435858","exception":false,"start_time":"2023-11-15T13:49:55.404943","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["645238                                      France\n","372552                                      France\n","446595                                      France\n","396289                                      France\n","944480    Belgique,France,Italie,Luxembourg,Suisse\n","Name: countries_fr, dtype: object"]},"execution_count":20,"metadata":{},"output_type":"execute_result"}],"source":["data_food_25['countries_fr'].head()"]},{"cell_type":"markdown","id":"b1f06a3e","metadata":{"papermill":{"duration":0.02251,"end_time":"2023-11-15T13:49:55.48255","exception":false,"start_time":"2023-11-15T13:49:55.46004","status":"completed"},"tags":[]},"source":["**Les catégories de produits**"]},{"cell_type":"code","execution_count":21,"id":"4ce79698","metadata":{"execution":{"iopub.execute_input":"2023-11-15T13:49:55.531433Z","iopub.status.busy":"2023-11-15T13:49:55.531008Z","iopub.status.idle":"2023-11-15T13:49:55.571524Z","shell.execute_reply":"2023-11-15T13:49:55.570286Z"},"papermill":{"duration":0.06754,"end_time":"2023-11-15T13:49:55.573626","exception":false,"start_time":"2023-11-15T13:49:55.506086","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["array(['Sugary snacks', 'Salty snacks', 'Beverages', 'Fish Meat Eggs',\n","       'Milk and dairy products', 'Cereals and potatoes',\n","       'Fruits and vegetables', 'Fat and sauces', 'Composite foods',\n","       'unknown', nan, 'sugary-snacks', 'fruits-and-vegetables',\n","       'cereals-and-potatoes', 'salty-snacks'], dtype=object)"]},"execution_count":21,"metadata":{},"output_type":"execute_result"}],"source":["#Affichons les catégories présntes dans pnns_groups_1 et pnns_groups_2\n","data_food_25['pnns_groups_1'].unique()"]},{"cell_type":"code","execution_count":22,"id":"1d11de34","metadata":{"execution":{"iopub.execute_input":"2023-11-15T13:49:55.620158Z","iopub.status.busy":"2023-11-15T13:49:55.619755Z","iopub.status.idle":"2023-11-15T13:49:55.666503Z","shell.execute_reply":"2023-11-15T13:49:55.665091Z"},"papermill":{"duration":0.072264,"end_time":"2023-11-15T13:49:55.668473","exception":false,"start_time":"2023-11-15T13:49:55.596209","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["array(['Sweets', 'Appetizers', 'Biscuits and cakes',\n","       'Waters and flavored waters', 'Chocolate products',\n","       'Fish and seafood', 'Processed meat', 'Cheese', 'Fruit juices',\n","       'Cereals', 'Sweetened beverages', 'Dried fruits', 'Eggs', 'Fats',\n","       'One-dish meals', 'Bread', 'Dressings and sauces', 'Legumes',\n","       'Milk and yogurt', 'unknown', 'Salty and fatty products',\n","       'Ice cream', 'Alcoholic beverages', 'Fruits', 'Soups',\n","       'Plant-based milk substitutes', 'Vegetables', 'Breakfast cereals',\n","       'Pizza pies and quiche', 'Potatoes',\n","       'Artificially sweetened beverages', 'Unsweetened beverages',\n","       'Nuts', 'pastries', 'vegetables', 'Meat', 'Dairy desserts',\n","       'Pizza pies and quiches', 'Sandwiches', 'Fruit nectars', 'fruits',\n","       'Offals', 'Teas and herbal teas and coffees', 'cereals', 'legumes',\n","       'nuts', nan], dtype=object)"]},"execution_count":22,"metadata":{},"output_type":"execute_result"}],"source":["#Affichons les catégories présntes dans pnns_groups_1 et pnns_groups_2\n","data_food_25['pnns_groups_2'].unique()"]},{"cell_type":"code","execution_count":23,"id":"dd96c055","metadata":{"execution":{"iopub.execute_input":"2023-11-15T13:49:55.71805Z","iopub.status.busy":"2023-11-15T13:49:55.716397Z","iopub.status.idle":"2023-11-15T13:49:55.78141Z","shell.execute_reply":"2023-11-15T13:49:55.780112Z"},"papermill":{"duration":0.093156,"end_time":"2023-11-15T13:49:55.784128","exception":false,"start_time":"2023-11-15T13:49:55.690972","status":"completed"},"tags":[]},"outputs":[],"source":["#remplacons les valeurs manquantes par unknow afin d'avoir de pouoir bien caractériser tous les prouduits \n","data_food_25.loc[data_food_25['pnns_groups_1'].isna(), 'pnns_groups_1'] = 'unknown'\n","data_food_25.loc[data_food_25['pnns_groups_2'].isna(), 'pnns_groups_2'] = 'unknown'"]},{"cell_type":"code","execution_count":24,"id":"357e2b56","metadata":{"execution":{"iopub.execute_input":"2023-11-15T13:49:55.830943Z","iopub.status.busy":"2023-11-15T13:49:55.830601Z","iopub.status.idle":"2023-11-15T13:49:56.453588Z","shell.execute_reply":"2023-11-15T13:49:56.45231Z"},"papermill":{"duration":0.648898,"end_time":"2023-11-15T13:49:56.456097","exception":false,"start_time":"2023-11-15T13:49:55.807199","status":"completed"},"tags":[]},"outputs":[],"source":["#corrigeons les erreurs de formatage\n","data_food_25[\"pnns_groups_1\"] = data_food_25[\"pnns_groups_1\"].str.lower().str.replace('-', ' ')\n","data_food_25[\"pnns_groups_2\"] = data_food_25[\"pnns_groups_2\"].str.lower().str.replace('-', ' ')"]},{"cell_type":"code","execution_count":25,"id":"e29284d5","metadata":{"execution":{"iopub.execute_input":"2023-11-15T13:49:56.50282Z","iopub.status.busy":"2023-11-15T13:49:56.502509Z","iopub.status.idle":"2023-11-15T13:49:56.593636Z","shell.execute_reply":"2023-11-15T13:49:56.592284Z"},"papermill":{"duration":0.117643,"end_time":"2023-11-15T13:49:56.596228","exception":false,"start_time":"2023-11-15T13:49:56.478585","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["10 catégories sont représentées dans la variable pnns_group_1:\n"]},{"data":{"text/plain":["array(['sugary snacks', 'salty snacks', 'beverages', 'fish meat eggs',\n","       'milk and dairy products', 'cereals and potatoes',\n","       'fruits and vegetables', 'fat and sauces', 'composite foods',\n","       'unknown'], dtype=object)"]},"execution_count":25,"metadata":{},"output_type":"execute_result"}],"source":["print(\"{} catégories sont représentées dans la variable pnns_group_1:\".format(len(data_food_25['pnns_groups_1'].unique())))\n","data_food_25['pnns_groups_1'].unique()"]},{"cell_type":"code","execution_count":26,"id":"7f15c7fc","metadata":{"execution":{"iopub.execute_input":"2023-11-15T13:49:56.644698Z","iopub.status.busy":"2023-11-15T13:49:56.644285Z","iopub.status.idle":"2023-11-15T13:49:56.734625Z","shell.execute_reply":"2023-11-15T13:49:56.733285Z"},"papermill":{"duration":0.117518,"end_time":"2023-11-15T13:49:56.736891","exception":false,"start_time":"2023-11-15T13:49:56.619373","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["41 catégories sont représentées dans la variable pnns_group_2:\n"]},{"data":{"text/plain":["array(['sweets', 'appetizers', 'biscuits and cakes',\n","       'waters and flavored waters', 'chocolate products',\n","       'fish and seafood', 'processed meat', 'cheese', 'fruit juices',\n","       'cereals', 'sweetened beverages', 'dried fruits', 'eggs', 'fats',\n","       'one dish meals', 'bread', 'dressings and sauces', 'legumes',\n","       'milk and yogurt', 'unknown', 'salty and fatty products',\n","       'ice cream', 'alcoholic beverages', 'fruits', 'soups',\n","       'plant based milk substitutes', 'vegetables', 'breakfast cereals',\n","       'pizza pies and quiche', 'potatoes',\n","       'artificially sweetened beverages', 'unsweetened beverages',\n","       'nuts', 'pastries', 'meat', 'dairy desserts',\n","       'pizza pies and quiches', 'sandwiches', 'fruit nectars', 'offals',\n","       'teas and herbal teas and coffees'], dtype=object)"]},"execution_count":26,"metadata":{},"output_type":"execute_result"}],"source":["print(\"{} catégories sont représentées dans la variable pnns_group_2:\".format(len(data_food_25['pnns_groups_2'].unique())))\n","data_food_25['pnns_groups_2'].unique()"]},{"cell_type":"code","execution_count":27,"id":"1a122b71","metadata":{"execution":{"iopub.execute_input":"2023-11-15T13:49:56.786036Z","iopub.status.busy":"2023-11-15T13:49:56.78564Z","iopub.status.idle":"2023-11-15T13:49:56.815512Z","shell.execute_reply":"2023-11-15T13:49:56.813197Z"},"papermill":{"duration":0.058363,"end_time":"2023-11-15T13:49:56.818755","exception":false,"start_time":"2023-11-15T13:49:56.760392","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>code</th>\n","      <th>product_name</th>\n","      <th>countries_fr</th>\n","      <th>energy_100g</th>\n","      <th>fat_100g</th>\n","      <th>saturated-fat_100g</th>\n","      <th>carbohydrates_100g</th>\n","      <th>sugars_100g</th>\n","      <th>fiber_100g</th>\n","      <th>proteins_100g</th>\n","      <th>salt_100g</th>\n","      <th>sodium_100g</th>\n","      <th>nutriscore_grade</th>\n","      <th>nutrition-score-fr_100g</th>\n","      <th>pnns_groups_1</th>\n","      <th>pnns_groups_2</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>645238</th>\n","      <td>3760029248001</td>\n","      <td>Caramels tendres au beurre salé au sel de Guér...</td>\n","      <td>France</td>\n","      <td>1717.0</td>\n","      <td>10.9</td>\n","      <td>7.0</td>\n","      <td>73.5</td>\n","      <td>49.3</td>\n","      <td>NaN</td>\n","      <td>3.0</td>\n","      <td>1.7000</td>\n","      <td>0.68000</td>\n","      <td>e</td>\n","      <td>28.0</td>\n","      <td>sugary snacks</td>\n","      <td>sweets</td>\n","    </tr>\n","    <tr>\n","      <th>372552</th>\n","      <td>3029330062806</td>\n","      <td>Jacquet Les bouchées créatives à garnir</td>\n","      <td>France</td>\n","      <td>1898.0</td>\n","      <td>15.5</td>\n","      <td>1.3</td>\n","      <td>68.0</td>\n","      <td>2.0</td>\n","      <td>3.0</td>\n","      <td>8.5</td>\n","      <td>1.7526</td>\n","      <td>0.70104</td>\n","      <td>c</td>\n","      <td>10.0</td>\n","      <td>salty snacks</td>\n","      <td>appetizers</td>\n","    </tr>\n","    <tr>\n","      <th>446595</th>\n","      <td>3257980112590</td>\n","      <td>Boudoirs</td>\n","      <td>France</td>\n","      <td>1615.0</td>\n","      <td>3.2</td>\n","      <td>1.2</td>\n","      <td>80.4</td>\n","      <td>51.8</td>\n","      <td>1.6</td>\n","      <td>6.9</td>\n","      <td>0.0900</td>\n","      <td>0.03600</td>\n","      <td>d</td>\n","      <td>14.0</td>\n","      <td>sugary snacks</td>\n","      <td>biscuits and cakes</td>\n","    </tr>\n","    <tr>\n","      <th>396289</th>\n","      <td>3160181210524</td>\n","      <td>Cookies tout chocolat Biocoop</td>\n","      <td>France</td>\n","      <td>2040.0</td>\n","      <td>25.0</td>\n","      <td>14.0</td>\n","      <td>56.0</td>\n","      <td>33.0</td>\n","      <td>5.5</td>\n","      <td>7.0</td>\n","      <td>0.3810</td>\n","      <td>0.15240</td>\n","      <td>e</td>\n","      <td>19.0</td>\n","      <td>sugary snacks</td>\n","      <td>biscuits and cakes</td>\n","    </tr>\n","    <tr>\n","      <th>944480</th>\n","      <td>8002270014901</td>\n","      <td>Eau minérale naturelle avec adjonction de gaz ...</td>\n","      <td>Belgique,France,Italie,Luxembourg,Suisse</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>a</td>\n","      <td>0.0</td>\n","      <td>beverages</td>\n","      <td>waters and flavored waters</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>644452</th>\n","      <td>3760025190069</td>\n","      <td>Gwada original</td>\n","      <td>France</td>\n","      <td>88.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>5.0</td>\n","      <td>1.3</td>\n","      <td>NaN</td>\n","      <td>0.0</td>\n","      <td>0.0000</td>\n","      <td>0.00000</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>unknown</td>\n","      <td>unknown</td>\n","    </tr>\n","    <tr>\n","      <th>622642</th>\n","      <td>3700048100027</td>\n","      <td>Boulettes au boeuf</td>\n","      <td>France</td>\n","      <td>862.0</td>\n","      <td>15.0</td>\n","      <td>5.7</td>\n","      <td>0.7</td>\n","      <td>0.3</td>\n","      <td>NaN</td>\n","      <td>17.0</td>\n","      <td>0.1200</td>\n","      <td>0.04800</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>unknown</td>\n","      <td>unknown</td>\n","    </tr>\n","    <tr>\n","      <th>89389</th>\n","      <td>66200021030</td>\n","      <td>Assaisonnement La Grille (poulet De Barbecue)</td>\n","      <td>France</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>unknown</td>\n","      <td>unknown</td>\n","    </tr>\n","    <tr>\n","      <th>85567</th>\n","      <td>60383993542</td>\n","      <td>Honey mustard</td>\n","      <td>France</td>\n","      <td>837.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>40.0</td>\n","      <td>40.0</td>\n","      <td>NaN</td>\n","      <td>4.0</td>\n","      <td>1.2500</td>\n","      <td>0.50000</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>unknown</td>\n","      <td>unknown</td>\n","    </tr>\n","    <tr>\n","      <th>368169</th>\n","      <td>3017760038409</td>\n","      <td>Lulu la barquette (Fraise)</td>\n","      <td>Belgique,Canada,France,Suisse</td>\n","      <td>1480.0</td>\n","      <td>2.1</td>\n","      <td>0.5</td>\n","      <td>78.0</td>\n","      <td>60.0</td>\n","      <td>1.2</td>\n","      <td>4.2</td>\n","      <td>0.0800</td>\n","      <td>0.03200</td>\n","      <td>d</td>\n","      <td>13.0</td>\n","      <td>fish meat eggs</td>\n","      <td>eggs</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>656654 rows × 16 columns</p>\n","</div>"],"text/plain":["                 code                                       product_name  \\\n","645238  3760029248001  Caramels tendres au beurre salé au sel de Guér...   \n","372552  3029330062806            Jacquet Les bouchées créatives à garnir   \n","446595  3257980112590                                           Boudoirs   \n","396289  3160181210524                      Cookies tout chocolat Biocoop   \n","944480  8002270014901  Eau minérale naturelle avec adjonction de gaz ...   \n","...               ...                                                ...   \n","644452  3760025190069                                     Gwada original   \n","622642  3700048100027                                 Boulettes au boeuf   \n","89389     66200021030      Assaisonnement La Grille (poulet De Barbecue)   \n","85567     60383993542                                      Honey mustard   \n","368169  3017760038409                         Lulu la barquette (Fraise)   \n","\n","                                    countries_fr  energy_100g  fat_100g  \\\n","645238                                    France       1717.0      10.9   \n","372552                                    France       1898.0      15.5   \n","446595                                    France       1615.0       3.2   \n","396289                                    France       2040.0      25.0   \n","944480  Belgique,France,Italie,Luxembourg,Suisse          NaN       NaN   \n","...                                          ...          ...       ...   \n","644452                                    France         88.0       0.0   \n","622642                                    France        862.0      15.0   \n","89389                                     France          NaN       NaN   \n","85567                                     France        837.0       0.0   \n","368169             Belgique,Canada,France,Suisse       1480.0       2.1   \n","\n","        saturated-fat_100g  carbohydrates_100g  sugars_100g  fiber_100g  \\\n","645238                 7.0                73.5         49.3         NaN   \n","372552                 1.3                68.0          2.0         3.0   \n","446595                 1.2                80.4         51.8         1.6   \n","396289                14.0                56.0         33.0         5.5   \n","944480                 NaN                 NaN          NaN         NaN   \n","...                    ...                 ...          ...         ...   \n","644452                 0.0                 5.0          1.3         NaN   \n","622642                 5.7                 0.7          0.3         NaN   \n","89389                  NaN                 NaN          NaN         NaN   \n","85567                  0.0                40.0         40.0         NaN   \n","368169                 0.5                78.0         60.0         1.2   \n","\n","        proteins_100g  salt_100g  sodium_100g nutriscore_grade  \\\n","645238            3.0     1.7000      0.68000                e   \n","372552            8.5     1.7526      0.70104                c   \n","446595            6.9     0.0900      0.03600                d   \n","396289            7.0     0.3810      0.15240                e   \n","944480            NaN        NaN          NaN                a   \n","...               ...        ...          ...              ...   \n","644452            0.0     0.0000      0.00000              NaN   \n","622642           17.0     0.1200      0.04800              NaN   \n","89389             NaN        NaN          NaN              NaN   \n","85567             4.0     1.2500      0.50000              NaN   \n","368169            4.2     0.0800      0.03200                d   \n","\n","        nutrition-score-fr_100g   pnns_groups_1               pnns_groups_2  \n","645238                     28.0   sugary snacks                      sweets  \n","372552                     10.0    salty snacks                  appetizers  \n","446595                     14.0   sugary snacks          biscuits and cakes  \n","396289                     19.0   sugary snacks          biscuits and cakes  \n","944480                      0.0       beverages  waters and flavored waters  \n","...                         ...             ...                         ...  \n","644452                      NaN         unknown                     unknown  \n","622642                      NaN         unknown                     unknown  \n","89389                       NaN         unknown                     unknown  \n","85567                       NaN         unknown                     unknown  \n","368169                     13.0  fish meat eggs                        eggs  \n","\n","[656654 rows x 16 columns]"]},"execution_count":27,"metadata":{},"output_type":"execute_result"}],"source":["#identifions la taille du jeu de données \n","data_food_25"]},{"cell_type":"markdown","id":"81670547","metadata":{"papermill":{"duration":0.027408,"end_time":"2023-11-15T13:49:56.877857","exception":false,"start_time":"2023-11-15T13:49:56.850449","status":"completed"},"tags":[]},"source":["**Traitement des valeurs aberrantes**"]},{"cell_type":"code","execution_count":28,"id":"5913e1e3","metadata":{"execution":{"iopub.execute_input":"2023-11-15T13:49:56.928535Z","iopub.status.busy":"2023-11-15T13:49:56.926282Z","iopub.status.idle":"2023-11-15T13:49:57.133544Z","shell.execute_reply":"2023-11-15T13:49:57.1318Z"},"papermill":{"duration":0.234451,"end_time":"2023-11-15T13:49:57.136146","exception":false,"start_time":"2023-11-15T13:49:56.901695","status":"completed"},"tags":[]},"outputs":[],"source":["data_food_aberr = data_food_25.copy()"]},{"cell_type":"code","execution_count":29,"id":"54b8efa7","metadata":{"execution":{"iopub.execute_input":"2023-11-15T13:49:57.184861Z","iopub.status.busy":"2023-11-15T13:49:57.183622Z","iopub.status.idle":"2023-11-15T13:49:57.230218Z","shell.execute_reply":"2023-11-15T13:49:57.22902Z"},"papermill":{"duration":0.072789,"end_time":"2023-11-15T13:49:57.232305","exception":false,"start_time":"2023-11-15T13:49:57.159516","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["count    5.265380e+05\n","mean     1.813984e+03\n","std      4.763734e+05\n","min      0.000000e+00\n","25%      4.690000e+02\n","50%      1.109000e+03\n","75%      1.678000e+03\n","max      3.456712e+08\n","Name: energy_100g, dtype: float64"]},"execution_count":29,"metadata":{},"output_type":"execute_result"}],"source":["#Energy_100g\n","data_food_aberr['energy_100g'].describe()"]},{"cell_type":"markdown","id":"c4b1d5b5","metadata":{"papermill":{"duration":0.023243,"end_time":"2023-11-15T13:49:57.279225","exception":false,"start_time":"2023-11-15T13:49:57.255982","status":"completed"},"tags":[]},"source":["En considérant 900kcal (3768.12 kJ) comme valeur énergétique maximale possible pour 100g, toutes les valeurs étant positives,seules celles supérieures à ce seuil seront considérées aberrantes et remplaçées par NaN c'est à dire considerées comme valeurs manquantes.\n","\n"]},{"cell_type":"code","execution_count":30,"id":"bcaa776b","metadata":{"execution":{"iopub.execute_input":"2023-11-15T13:49:57.328551Z","iopub.status.busy":"2023-11-15T13:49:57.328023Z","iopub.status.idle":"2023-11-15T13:49:57.336549Z","shell.execute_reply":"2023-11-15T13:49:57.335173Z"},"papermill":{"duration":0.036609,"end_time":"2023-11-15T13:49:57.339313","exception":false,"start_time":"2023-11-15T13:49:57.302704","status":"completed"},"tags":[]},"outputs":[],"source":["mask = data_food_aberr['energy_100g'] > 3768.12\n","data_food_aberr.loc[mask, 'energy_100g'] = np.NaN"]},{"cell_type":"code","execution_count":31,"id":"c17afcd9","metadata":{"execution":{"iopub.execute_input":"2023-11-15T13:49:57.391195Z","iopub.status.busy":"2023-11-15T13:49:57.390723Z","iopub.status.idle":"2023-11-15T13:49:57.482785Z","shell.execute_reply":"2023-11-15T13:49:57.480938Z"},"papermill":{"duration":0.121332,"end_time":"2023-11-15T13:49:57.485897","exception":false,"start_time":"2023-11-15T13:49:57.364565","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["count    525268.000000\n","mean       1148.134639\n","std         784.708491\n","min           0.000000\n","25%         464.000000\n","50%        1105.000000\n","75%        1674.000000\n","max        3768.000000\n","Name: energy_100g, dtype: float64"]},"execution_count":31,"metadata":{},"output_type":"execute_result"}],"source":["data_food_aberr['energy_100g'].describe()"]},{"cell_type":"code","execution_count":32,"id":"dd6a02fc","metadata":{"execution":{"iopub.execute_input":"2023-11-15T13:49:57.536136Z","iopub.status.busy":"2023-11-15T13:49:57.535419Z","iopub.status.idle":"2023-11-15T13:49:57.562613Z","shell.execute_reply":"2023-11-15T13:49:57.56143Z"},"papermill":{"duration":0.05519,"end_time":"2023-11-15T13:49:57.564934","exception":false,"start_time":"2023-11-15T13:49:57.509744","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>code</th>\n","      <th>product_name</th>\n","      <th>countries_fr</th>\n","      <th>energy_100g</th>\n","      <th>fat_100g</th>\n","      <th>saturated-fat_100g</th>\n","      <th>carbohydrates_100g</th>\n","      <th>sugars_100g</th>\n","      <th>fiber_100g</th>\n","      <th>proteins_100g</th>\n","      <th>salt_100g</th>\n","      <th>sodium_100g</th>\n","      <th>nutriscore_grade</th>\n","      <th>nutrition-score-fr_100g</th>\n","      <th>pnns_groups_1</th>\n","      <th>pnns_groups_2</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>645238</th>\n","      <td>3760029248001</td>\n","      <td>Caramels tendres au beurre salé au sel de Guér...</td>\n","      <td>France</td>\n","      <td>1717.0</td>\n","      <td>10.9</td>\n","      <td>7.0</td>\n","      <td>73.5</td>\n","      <td>49.3</td>\n","      <td>NaN</td>\n","      <td>3.0</td>\n","      <td>1.7000</td>\n","      <td>0.68000</td>\n","      <td>e</td>\n","      <td>28.0</td>\n","      <td>sugary snacks</td>\n","      <td>sweets</td>\n","    </tr>\n","    <tr>\n","      <th>372552</th>\n","      <td>3029330062806</td>\n","      <td>Jacquet Les bouchées créatives à garnir</td>\n","      <td>France</td>\n","      <td>1898.0</td>\n","      <td>15.5</td>\n","      <td>1.3</td>\n","      <td>68.0</td>\n","      <td>2.0</td>\n","      <td>3.0</td>\n","      <td>8.5</td>\n","      <td>1.7526</td>\n","      <td>0.70104</td>\n","      <td>c</td>\n","      <td>10.0</td>\n","      <td>salty snacks</td>\n","      <td>appetizers</td>\n","    </tr>\n","    <tr>\n","      <th>446595</th>\n","      <td>3257980112590</td>\n","      <td>Boudoirs</td>\n","      <td>France</td>\n","      <td>1615.0</td>\n","      <td>3.2</td>\n","      <td>1.2</td>\n","      <td>80.4</td>\n","      <td>51.8</td>\n","      <td>1.6</td>\n","      <td>6.9</td>\n","      <td>0.0900</td>\n","      <td>0.03600</td>\n","      <td>d</td>\n","      <td>14.0</td>\n","      <td>sugary snacks</td>\n","      <td>biscuits and cakes</td>\n","    </tr>\n","    <tr>\n","      <th>396289</th>\n","      <td>3160181210524</td>\n","      <td>Cookies tout chocolat Biocoop</td>\n","      <td>France</td>\n","      <td>2040.0</td>\n","      <td>25.0</td>\n","      <td>14.0</td>\n","      <td>56.0</td>\n","      <td>33.0</td>\n","      <td>5.5</td>\n","      <td>7.0</td>\n","      <td>0.3810</td>\n","      <td>0.15240</td>\n","      <td>e</td>\n","      <td>19.0</td>\n","      <td>sugary snacks</td>\n","      <td>biscuits and cakes</td>\n","    </tr>\n","    <tr>\n","      <th>944480</th>\n","      <td>8002270014901</td>\n","      <td>Eau minérale naturelle avec adjonction de gaz ...</td>\n","      <td>Belgique,France,Italie,Luxembourg,Suisse</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>a</td>\n","      <td>0.0</td>\n","      <td>beverages</td>\n","      <td>waters and flavored waters</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>644452</th>\n","      <td>3760025190069</td>\n","      <td>Gwada original</td>\n","      <td>France</td>\n","      <td>88.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>5.0</td>\n","      <td>1.3</td>\n","      <td>NaN</td>\n","      <td>0.0</td>\n","      <td>0.0000</td>\n","      <td>0.00000</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>unknown</td>\n","      <td>unknown</td>\n","    </tr>\n","    <tr>\n","      <th>622642</th>\n","      <td>3700048100027</td>\n","      <td>Boulettes au boeuf</td>\n","      <td>France</td>\n","      <td>862.0</td>\n","      <td>15.0</td>\n","      <td>5.7</td>\n","      <td>0.7</td>\n","      <td>0.3</td>\n","      <td>NaN</td>\n","      <td>17.0</td>\n","      <td>0.1200</td>\n","      <td>0.04800</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>unknown</td>\n","      <td>unknown</td>\n","    </tr>\n","    <tr>\n","      <th>89389</th>\n","      <td>66200021030</td>\n","      <td>Assaisonnement La Grille (poulet De Barbecue)</td>\n","      <td>France</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>unknown</td>\n","      <td>unknown</td>\n","    </tr>\n","    <tr>\n","      <th>85567</th>\n","      <td>60383993542</td>\n","      <td>Honey mustard</td>\n","      <td>France</td>\n","      <td>837.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>40.0</td>\n","      <td>40.0</td>\n","      <td>NaN</td>\n","      <td>4.0</td>\n","      <td>1.2500</td>\n","      <td>0.50000</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>unknown</td>\n","      <td>unknown</td>\n","    </tr>\n","    <tr>\n","      <th>368169</th>\n","      <td>3017760038409</td>\n","      <td>Lulu la barquette (Fraise)</td>\n","      <td>Belgique,Canada,France,Suisse</td>\n","      <td>1480.0</td>\n","      <td>2.1</td>\n","      <td>0.5</td>\n","      <td>78.0</td>\n","      <td>60.0</td>\n","      <td>1.2</td>\n","      <td>4.2</td>\n","      <td>0.0800</td>\n","      <td>0.03200</td>\n","      <td>d</td>\n","      <td>13.0</td>\n","      <td>fish meat eggs</td>\n","      <td>eggs</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>656654 rows × 16 columns</p>\n","</div>"],"text/plain":["                 code                                       product_name  \\\n","645238  3760029248001  Caramels tendres au beurre salé au sel de Guér...   \n","372552  3029330062806            Jacquet Les bouchées créatives à garnir   \n","446595  3257980112590                                           Boudoirs   \n","396289  3160181210524                      Cookies tout chocolat Biocoop   \n","944480  8002270014901  Eau minérale naturelle avec adjonction de gaz ...   \n","...               ...                                                ...   \n","644452  3760025190069                                     Gwada original   \n","622642  3700048100027                                 Boulettes au boeuf   \n","89389     66200021030      Assaisonnement La Grille (poulet De Barbecue)   \n","85567     60383993542                                      Honey mustard   \n","368169  3017760038409                         Lulu la barquette (Fraise)   \n","\n","                                    countries_fr  energy_100g  fat_100g  \\\n","645238                                    France       1717.0      10.9   \n","372552                                    France       1898.0      15.5   \n","446595                                    France       1615.0       3.2   \n","396289                                    France       2040.0      25.0   \n","944480  Belgique,France,Italie,Luxembourg,Suisse          NaN       NaN   \n","...                                          ...          ...       ...   \n","644452                                    France         88.0       0.0   \n","622642                                    France        862.0      15.0   \n","89389                                     France          NaN       NaN   \n","85567                                     France        837.0       0.0   \n","368169             Belgique,Canada,France,Suisse       1480.0       2.1   \n","\n","        saturated-fat_100g  carbohydrates_100g  sugars_100g  fiber_100g  \\\n","645238                 7.0                73.5         49.3         NaN   \n","372552                 1.3                68.0          2.0         3.0   \n","446595                 1.2                80.4         51.8         1.6   \n","396289                14.0                56.0         33.0         5.5   \n","944480                 NaN                 NaN          NaN         NaN   \n","...                    ...                 ...          ...         ...   \n","644452                 0.0                 5.0          1.3         NaN   \n","622642                 5.7                 0.7          0.3         NaN   \n","89389                  NaN                 NaN          NaN         NaN   \n","85567                  0.0                40.0         40.0         NaN   \n","368169                 0.5                78.0         60.0         1.2   \n","\n","        proteins_100g  salt_100g  sodium_100g nutriscore_grade  \\\n","645238            3.0     1.7000      0.68000                e   \n","372552            8.5     1.7526      0.70104                c   \n","446595            6.9     0.0900      0.03600                d   \n","396289            7.0     0.3810      0.15240                e   \n","944480            NaN        NaN          NaN                a   \n","...               ...        ...          ...              ...   \n","644452            0.0     0.0000      0.00000              NaN   \n","622642           17.0     0.1200      0.04800              NaN   \n","89389             NaN        NaN          NaN              NaN   \n","85567             4.0     1.2500      0.50000              NaN   \n","368169            4.2     0.0800      0.03200                d   \n","\n","        nutrition-score-fr_100g   pnns_groups_1               pnns_groups_2  \n","645238                     28.0   sugary snacks                      sweets  \n","372552                     10.0    salty snacks                  appetizers  \n","446595                     14.0   sugary snacks          biscuits and cakes  \n","396289                     19.0   sugary snacks          biscuits and cakes  \n","944480                      0.0       beverages  waters and flavored waters  \n","...                         ...             ...                         ...  \n","644452                      NaN         unknown                     unknown  \n","622642                      NaN         unknown                     unknown  \n","89389                       NaN         unknown                     unknown  \n","85567                       NaN         unknown                     unknown  \n","368169                     13.0  fish meat eggs                        eggs  \n","\n","[656654 rows x 16 columns]"]},"execution_count":32,"metadata":{},"output_type":"execute_result"}],"source":["data_food_25"]},{"cell_type":"markdown","id":"fdaf141c","metadata":{"papermill":{"duration":0.023556,"end_time":"2023-11-15T13:49:57.612729","exception":false,"start_time":"2023-11-15T13:49:57.589173","status":"completed"},"tags":[]},"source":["**Liste des produits dont les valeurs doivent être comprises entre 0 et 100g**"]},{"cell_type":"code","execution_count":33,"id":"2877bdb6","metadata":{"execution":{"iopub.execute_input":"2023-11-15T13:49:57.662503Z","iopub.status.busy":"2023-11-15T13:49:57.662019Z","iopub.status.idle":"2023-11-15T13:49:57.669234Z","shell.execute_reply":"2023-11-15T13:49:57.667875Z"},"papermill":{"duration":0.034699,"end_time":"2023-11-15T13:49:57.671184","exception":false,"start_time":"2023-11-15T13:49:57.636485","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["['fat_100g',\n"," 'saturated-fat_100g',\n"," 'carbohydrates_100g',\n"," 'sugars_100g',\n"," 'fiber_100g',\n"," 'proteins_100g',\n"," 'salt_100g',\n"," 'sodium_100g']"]},"execution_count":33,"metadata":{},"output_type":"execute_result"}],"source":["list_100g=['fat_100g','saturated-fat_100g', 'carbohydrates_100g', 'sugars_100g', 'fiber_100g', 'proteins_100g',\n","           'salt_100g','sodium_100g']\n","list_100g"]},{"cell_type":"code","execution_count":34,"id":"3c73ab38","metadata":{"execution":{"iopub.execute_input":"2023-11-15T13:49:57.720877Z","iopub.status.busy":"2023-11-15T13:49:57.720066Z","iopub.status.idle":"2023-11-15T13:49:58.006702Z","shell.execute_reply":"2023-11-15T13:49:58.005211Z"},"papermill":{"duration":0.314351,"end_time":"2023-11-15T13:49:58.008916","exception":false,"start_time":"2023-11-15T13:49:57.694565","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>fat_100g</th>\n","      <th>saturated-fat_100g</th>\n","      <th>carbohydrates_100g</th>\n","      <th>sugars_100g</th>\n","      <th>fiber_100g</th>\n","      <th>proteins_100g</th>\n","      <th>salt_100g</th>\n","      <th>sodium_100g</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>count</th>\n","      <td>522448.000000</td>\n","      <td>523224.000000</td>\n","      <td>522251.000000</td>\n","      <td>523545.000000</td>\n","      <td>127100.000000</td>\n","      <td>524788.000000</td>\n","      <td>515408.000000</td>\n","      <td>515402.000000</td>\n","    </tr>\n","    <tr>\n","      <th>mean</th>\n","      <td>14.014720</td>\n","      <td>5.416390</td>\n","      <td>27.431131</td>\n","      <td>13.989972</td>\n","      <td>3.036715</td>\n","      <td>8.717708</td>\n","      <td>1.297003</td>\n","      <td>0.518949</td>\n","    </tr>\n","    <tr>\n","      <th>std</th>\n","      <td>17.400267</td>\n","      <td>11.116678</td>\n","      <td>30.919240</td>\n","      <td>20.221968</td>\n","      <td>7.129487</td>\n","      <td>15.256111</td>\n","      <td>6.204293</td>\n","      <td>2.484101</td>\n","    </tr>\n","    <tr>\n","      <th>min</th>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>-0.100000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","    </tr>\n","    <tr>\n","      <th>25%</th>\n","      <td>1.000000</td>\n","      <td>0.200000</td>\n","      <td>2.800000</td>\n","      <td>0.700000</td>\n","      <td>0.010000</td>\n","      <td>1.400000</td>\n","      <td>0.050000</td>\n","      <td>0.020000</td>\n","    </tr>\n","    <tr>\n","      <th>50%</th>\n","      <td>7.700000</td>\n","      <td>2.000000</td>\n","      <td>14.000000</td>\n","      <td>3.600000</td>\n","      <td>1.600000</td>\n","      <td>6.040000</td>\n","      <td>0.500000</td>\n","      <td>0.200000</td>\n","    </tr>\n","    <tr>\n","      <th>75%</th>\n","      <td>22.000000</td>\n","      <td>8.000000</td>\n","      <td>52.865000</td>\n","      <td>20.000000</td>\n","      <td>3.600000</td>\n","      <td>12.200000</td>\n","      <td>1.300000</td>\n","      <td>0.520000</td>\n","    </tr>\n","    <tr>\n","      <th>max</th>\n","      <td>670.000000</td>\n","      <td>5555.000000</td>\n","      <td>9700.000000</td>\n","      <td>365.000000</td>\n","      <td>900.000000</td>\n","      <td>8466.000000</td>\n","      <td>1900.000000</td>\n","      <td>762.000000</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["            fat_100g  saturated-fat_100g  carbohydrates_100g    sugars_100g  \\\n","count  522448.000000       523224.000000       522251.000000  523545.000000   \n","mean       14.014720            5.416390           27.431131      13.989972   \n","std        17.400267           11.116678           30.919240      20.221968   \n","min         0.000000            0.000000            0.000000      -0.100000   \n","25%         1.000000            0.200000            2.800000       0.700000   \n","50%         7.700000            2.000000           14.000000       3.600000   \n","75%        22.000000            8.000000           52.865000      20.000000   \n","max       670.000000         5555.000000         9700.000000     365.000000   \n","\n","          fiber_100g  proteins_100g      salt_100g    sodium_100g  \n","count  127100.000000  524788.000000  515408.000000  515402.000000  \n","mean        3.036715       8.717708       1.297003       0.518949  \n","std         7.129487      15.256111       6.204293       2.484101  \n","min         0.000000       0.000000       0.000000       0.000000  \n","25%         0.010000       1.400000       0.050000       0.020000  \n","50%         1.600000       6.040000       0.500000       0.200000  \n","75%         3.600000      12.200000       1.300000       0.520000  \n","max       900.000000    8466.000000    1900.000000     762.000000  "]},"execution_count":34,"metadata":{},"output_type":"execute_result"}],"source":["data_food_aberr[list_100g].describe()"]},{"cell_type":"code","execution_count":35,"id":"39a8b1c7","metadata":{"execution":{"iopub.execute_input":"2023-11-15T13:49:58.059564Z","iopub.status.busy":"2023-11-15T13:49:58.059192Z","iopub.status.idle":"2023-11-15T13:49:58.065602Z","shell.execute_reply":"2023-11-15T13:49:58.064297Z"},"papermill":{"duration":0.034374,"end_time":"2023-11-15T13:49:58.067594","exception":false,"start_time":"2023-11-15T13:49:58.03322","status":"completed"},"tags":[]},"outputs":[],"source":["#fonction capable de transformer les valeurs aberrantes en manquantes \n","def valeurs_aber_100g(df,liste):\n","    for i in liste:\n","        mask=df[i]<0\n","        df.loc[mask,i]=np.NaN\n","        mask2=df[i]>100\n","        df.loc[mask2,i]=np.NaN\n","    return df"]},{"cell_type":"code","execution_count":36,"id":"77e2d992","metadata":{"execution":{"iopub.execute_input":"2023-11-15T13:49:58.11869Z","iopub.status.busy":"2023-11-15T13:49:58.118259Z","iopub.status.idle":"2023-11-15T13:49:58.49796Z","shell.execute_reply":"2023-11-15T13:49:58.497076Z"},"papermill":{"duration":0.407858,"end_time":"2023-11-15T13:49:58.500103","exception":false,"start_time":"2023-11-15T13:49:58.092245","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>energy_100g</th>\n","      <th>fat_100g</th>\n","      <th>saturated-fat_100g</th>\n","      <th>carbohydrates_100g</th>\n","      <th>sugars_100g</th>\n","      <th>fiber_100g</th>\n","      <th>proteins_100g</th>\n","      <th>salt_100g</th>\n","      <th>sodium_100g</th>\n","      <th>nutrition-score-fr_100g</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>count</th>\n","      <td>525268.000000</td>\n","      <td>522440.000000</td>\n","      <td>523217.000000</td>\n","      <td>522225.000000</td>\n","      <td>523530.000000</td>\n","      <td>127088.000000</td>\n","      <td>524786.000000</td>\n","      <td>515392.000000</td>\n","      <td>515391.000000</td>\n","      <td>224648.000000</td>\n","    </tr>\n","    <tr>\n","      <th>mean</th>\n","      <td>1148.134639</td>\n","      <td>14.010243</td>\n","      <td>5.402837</td>\n","      <td>27.404433</td>\n","      <td>13.985853</td>\n","      <td>2.997880</td>\n","      <td>8.701399</td>\n","      <td>1.280566</td>\n","      <td>0.512924</td>\n","      <td>9.632314</td>\n","    </tr>\n","    <tr>\n","      <th>std</th>\n","      <td>784.708491</td>\n","      <td>17.342258</td>\n","      <td>7.981429</td>\n","      <td>27.834768</td>\n","      <td>20.202481</td>\n","      <td>5.315117</td>\n","      <td>9.820127</td>\n","      <td>4.812096</td>\n","      <td>1.934941</td>\n","      <td>8.749686</td>\n","    </tr>\n","    <tr>\n","      <th>min</th>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>-15.000000</td>\n","    </tr>\n","    <tr>\n","      <th>25%</th>\n","      <td>464.000000</td>\n","      <td>1.000000</td>\n","      <td>0.200000</td>\n","      <td>2.800000</td>\n","      <td>0.700000</td>\n","      <td>0.010000</td>\n","      <td>1.400000</td>\n","      <td>0.050000</td>\n","      <td>0.020000</td>\n","      <td>2.000000</td>\n","    </tr>\n","    <tr>\n","      <th>50%</th>\n","      <td>1105.000000</td>\n","      <td>7.700000</td>\n","      <td>2.000000</td>\n","      <td>14.000000</td>\n","      <td>3.600000</td>\n","      <td>1.600000</td>\n","      <td>6.040000</td>\n","      <td>0.500000</td>\n","      <td>0.200000</td>\n","      <td>11.000000</td>\n","    </tr>\n","    <tr>\n","      <th>75%</th>\n","      <td>1674.000000</td>\n","      <td>22.000000</td>\n","      <td>8.000000</td>\n","      <td>52.800000</td>\n","      <td>20.000000</td>\n","      <td>3.600000</td>\n","      <td>12.200000</td>\n","      <td>1.300000</td>\n","      <td>0.520000</td>\n","      <td>16.000000</td>\n","    </tr>\n","    <tr>\n","      <th>max</th>\n","      <td>3768.000000</td>\n","      <td>100.000000</td>\n","      <td>100.000000</td>\n","      <td>100.000000</td>\n","      <td>100.000000</td>\n","      <td>100.000000</td>\n","      <td>100.000000</td>\n","      <td>100.000000</td>\n","      <td>78.740000</td>\n","      <td>40.000000</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["         energy_100g       fat_100g  saturated-fat_100g  carbohydrates_100g  \\\n","count  525268.000000  522440.000000       523217.000000       522225.000000   \n","mean     1148.134639      14.010243            5.402837           27.404433   \n","std       784.708491      17.342258            7.981429           27.834768   \n","min         0.000000       0.000000            0.000000            0.000000   \n","25%       464.000000       1.000000            0.200000            2.800000   \n","50%      1105.000000       7.700000            2.000000           14.000000   \n","75%      1674.000000      22.000000            8.000000           52.800000   \n","max      3768.000000     100.000000          100.000000          100.000000   \n","\n","         sugars_100g     fiber_100g  proteins_100g      salt_100g  \\\n","count  523530.000000  127088.000000  524786.000000  515392.000000   \n","mean       13.985853       2.997880       8.701399       1.280566   \n","std        20.202481       5.315117       9.820127       4.812096   \n","min         0.000000       0.000000       0.000000       0.000000   \n","25%         0.700000       0.010000       1.400000       0.050000   \n","50%         3.600000       1.600000       6.040000       0.500000   \n","75%        20.000000       3.600000      12.200000       1.300000   \n","max       100.000000     100.000000     100.000000     100.000000   \n","\n","         sodium_100g  nutrition-score-fr_100g  \n","count  515391.000000            224648.000000  \n","mean        0.512924                 9.632314  \n","std         1.934941                 8.749686  \n","min         0.000000               -15.000000  \n","25%         0.020000                 2.000000  \n","50%         0.200000                11.000000  \n","75%         0.520000                16.000000  \n","max        78.740000                40.000000  "]},"execution_count":36,"metadata":{},"output_type":"execute_result"}],"source":["#transformations \n","data_food_aberr = valeurs_aber_100g(data_food_aberr, list_100g)\n","data_food_aberr.describe()"]},{"cell_type":"markdown","id":"17c4f40e","metadata":{"papermill":{"duration":0.02426,"end_time":"2023-11-15T13:49:58.549265","exception":false,"start_time":"2023-11-15T13:49:58.525005","status":"completed"},"tags":[]},"source":["D'autre part, les valeurs de \"saturated-fat_100g\" ne peuvent pas être supérieures à \"fat_100g\", de même pour les valeurs de \"sodium_100g\" qui ne peuvent pas être supérieures à \"salt_100g\" idem pour \"sugars_100g\" et \"carbohydrates_100g\". Nous allons transformer en valeurs manquantes celles qui remplissent ces conditions :\n","\n","Définissons une fonction qui transforme ces valeurs aberrantes en manquantes:"]},{"cell_type":"code","execution_count":37,"id":"46fb2e34","metadata":{"execution":{"iopub.execute_input":"2023-11-15T13:49:58.600577Z","iopub.status.busy":"2023-11-15T13:49:58.599092Z","iopub.status.idle":"2023-11-15T13:49:58.607612Z","shell.execute_reply":"2023-11-15T13:49:58.606398Z"},"papermill":{"duration":0.036089,"end_time":"2023-11-15T13:49:58.609559","exception":false,"start_time":"2023-11-15T13:49:58.57347","status":"completed"},"tags":[]},"outputs":[],"source":["def valeurs_aber(df,liste):\n","    mask=(df[liste[0]] > df[liste[1]]) | (df[liste[2]] > df[liste[3]] )\n","    mask_= df[liste[4]] > df[liste[5]]\n","    for i in liste:\n","        df.loc[mask,i]=np.NaN\n","        df.loc[mask_,i]=np.NaN\n","    return df"]},{"cell_type":"code","execution_count":38,"id":"8087c51d","metadata":{"execution":{"iopub.execute_input":"2023-11-15T13:49:58.66422Z","iopub.status.busy":"2023-11-15T13:49:58.663822Z","iopub.status.idle":"2023-11-15T13:49:58.669833Z","shell.execute_reply":"2023-11-15T13:49:58.668096Z"},"papermill":{"duration":0.036673,"end_time":"2023-11-15T13:49:58.672179","exception":false,"start_time":"2023-11-15T13:49:58.635506","status":"completed"},"tags":[]},"outputs":[],"source":["liste=['saturated-fat_100g','fat_100g','sodium_100g','salt_100g','sugars_100g','carbohydrates_100g']"]},{"cell_type":"code","execution_count":39,"id":"71f3f921","metadata":{"execution":{"iopub.execute_input":"2023-11-15T13:49:58.726975Z","iopub.status.busy":"2023-11-15T13:49:58.726369Z","iopub.status.idle":"2023-11-15T13:49:58.956056Z","shell.execute_reply":"2023-11-15T13:49:58.954817Z"},"papermill":{"duration":0.259815,"end_time":"2023-11-15T13:49:58.957922","exception":false,"start_time":"2023-11-15T13:49:58.698107","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>saturated-fat_100g</th>\n","      <th>fat_100g</th>\n","      <th>sodium_100g</th>\n","      <th>salt_100g</th>\n","      <th>sugars_100g</th>\n","      <th>carbohydrates_100g</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>count</th>\n","      <td>522904.000000</td>\n","      <td>522126.000000</td>\n","      <td>515090.000000</td>\n","      <td>515091.000000</td>\n","      <td>523216.000000</td>\n","      <td>521917.000000</td>\n","    </tr>\n","    <tr>\n","      <th>mean</th>\n","      <td>5.401216</td>\n","      <td>14.014458</td>\n","      <td>0.512648</td>\n","      <td>1.280181</td>\n","      <td>13.984017</td>\n","      <td>27.408602</td>\n","    </tr>\n","    <tr>\n","      <th>std</th>\n","      <td>7.973863</td>\n","      <td>17.344348</td>\n","      <td>1.932262</td>\n","      <td>4.808523</td>\n","      <td>20.200112</td>\n","      <td>27.835087</td>\n","    </tr>\n","    <tr>\n","      <th>min</th>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","    </tr>\n","    <tr>\n","      <th>25%</th>\n","      <td>0.200000</td>\n","      <td>1.000000</td>\n","      <td>0.020000</td>\n","      <td>0.050000</td>\n","      <td>0.700000</td>\n","      <td>2.800000</td>\n","    </tr>\n","    <tr>\n","      <th>50%</th>\n","      <td>2.000000</td>\n","      <td>7.700000</td>\n","      <td>0.200000</td>\n","      <td>0.500000</td>\n","      <td>3.600000</td>\n","      <td>14.000000</td>\n","    </tr>\n","    <tr>\n","      <th>75%</th>\n","      <td>8.000000</td>\n","      <td>22.000000</td>\n","      <td>0.520000</td>\n","      <td>1.300000</td>\n","      <td>20.000000</td>\n","      <td>52.890000</td>\n","    </tr>\n","    <tr>\n","      <th>max</th>\n","      <td>100.000000</td>\n","      <td>100.000000</td>\n","      <td>78.740000</td>\n","      <td>100.000000</td>\n","      <td>100.000000</td>\n","      <td>100.000000</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["       saturated-fat_100g       fat_100g    sodium_100g      salt_100g  \\\n","count       522904.000000  522126.000000  515090.000000  515091.000000   \n","mean             5.401216      14.014458       0.512648       1.280181   \n","std              7.973863      17.344348       1.932262       4.808523   \n","min              0.000000       0.000000       0.000000       0.000000   \n","25%              0.200000       1.000000       0.020000       0.050000   \n","50%              2.000000       7.700000       0.200000       0.500000   \n","75%              8.000000      22.000000       0.520000       1.300000   \n","max            100.000000     100.000000      78.740000     100.000000   \n","\n","         sugars_100g  carbohydrates_100g  \n","count  523216.000000       521917.000000  \n","mean       13.984017           27.408602  \n","std        20.200112           27.835087  \n","min         0.000000            0.000000  \n","25%         0.700000            2.800000  \n","50%         3.600000           14.000000  \n","75%        20.000000           52.890000  \n","max       100.000000          100.000000  "]},"execution_count":39,"metadata":{},"output_type":"execute_result"}],"source":["data_food_aberr=valeurs_aber(data_food_aberr,liste)\n","data_food_aberr[liste].describe()"]},{"cell_type":"code","execution_count":40,"id":"314b94e9","metadata":{"execution":{"iopub.execute_input":"2023-11-15T13:49:59.01156Z","iopub.status.busy":"2023-11-15T13:49:59.010693Z","iopub.status.idle":"2023-11-15T13:49:59.020943Z","shell.execute_reply":"2023-11-15T13:49:59.019397Z"},"papermill":{"duration":0.041341,"end_time":"2023-11-15T13:49:59.023528","exception":false,"start_time":"2023-11-15T13:49:58.982187","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["645238    28.0\n","372552    10.0\n","446595    14.0\n","396289    19.0\n","944480     0.0\n","          ... \n","644452     NaN\n","622642     NaN\n","89389      NaN\n","85567      NaN\n","368169    13.0\n","Name: nutrition-score-fr_100g, Length: 656654, dtype: float64"]},"execution_count":40,"metadata":{},"output_type":"execute_result"}],"source":["data_food_aberr['nutrition-score-fr_100g']"]},{"cell_type":"code","execution_count":41,"id":"b5c16489","metadata":{"execution":{"iopub.execute_input":"2023-11-15T13:49:59.076153Z","iopub.status.busy":"2023-11-15T13:49:59.075733Z","iopub.status.idle":"2023-11-15T13:49:59.11481Z","shell.execute_reply":"2023-11-15T13:49:59.113663Z"},"papermill":{"duration":0.068737,"end_time":"2023-11-15T13:49:59.117377","exception":false,"start_time":"2023-11-15T13:49:59.04864","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["count    224648.000000\n","mean          9.632314\n","std           8.749686\n","min         -15.000000\n","25%           2.000000\n","50%          11.000000\n","75%          16.000000\n","max          40.000000\n","Name: nutrition-score-fr_100g, dtype: float64"]},"execution_count":41,"metadata":{},"output_type":"execute_result"}],"source":["#recherche des valeurs abérantes sur la variable nutrition-score-fr entre -15 et 40\n","data_food_aberr['nutrition-score-fr_100g'].describe()"]},{"cell_type":"code","execution_count":42,"id":"5691e5f5","metadata":{"execution":{"iopub.execute_input":"2023-11-15T13:49:59.170194Z","iopub.status.busy":"2023-11-15T13:49:59.168568Z","iopub.status.idle":"2023-11-15T13:49:59.33312Z","shell.execute_reply":"2023-11-15T13:49:59.331215Z"},"papermill":{"duration":0.193543,"end_time":"2023-11-15T13:49:59.335707","exception":false,"start_time":"2023-11-15T13:49:59.142164","status":"completed"},"tags":[]},"outputs":[],"source":["#Méthode interquartile\n","data_food_inter = data_food_25.copy()"]},{"cell_type":"code","execution_count":43,"id":"a8706611","metadata":{"execution":{"iopub.execute_input":"2023-11-15T13:49:59.388611Z","iopub.status.busy":"2023-11-15T13:49:59.388202Z","iopub.status.idle":"2023-11-15T13:49:59.442086Z","shell.execute_reply":"2023-11-15T13:49:59.440689Z"},"papermill":{"duration":0.083204,"end_time":"2023-11-15T13:49:59.444665","exception":false,"start_time":"2023-11-15T13:49:59.361461","status":"completed"},"tags":[]},"outputs":[],"source":["list_pnns_1 = data_food_inter['pnns_groups_1'].unique()\n","list_num = data_food_inter.select_dtypes(include=['float64', 'int64']).columns"]},{"cell_type":"code","execution_count":44,"id":"597ac465","metadata":{"execution":{"iopub.execute_input":"2023-11-15T13:49:59.495078Z","iopub.status.busy":"2023-11-15T13:49:59.494743Z","iopub.status.idle":"2023-11-15T13:49:59.848379Z","shell.execute_reply":"2023-11-15T13:49:59.846826Z"},"papermill":{"duration":0.381491,"end_time":"2023-11-15T13:49:59.850597","exception":false,"start_time":"2023-11-15T13:49:59.469106","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>energy_100g</th>\n","      <th>fat_100g</th>\n","      <th>saturated-fat_100g</th>\n","      <th>carbohydrates_100g</th>\n","      <th>sugars_100g</th>\n","      <th>fiber_100g</th>\n","      <th>proteins_100g</th>\n","      <th>salt_100g</th>\n","      <th>sodium_100g</th>\n","      <th>nutrition-score-fr_100g</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>count</th>\n","      <td>5.265380e+05</td>\n","      <td>522448.000000</td>\n","      <td>523224.000000</td>\n","      <td>522251.000000</td>\n","      <td>523545.000000</td>\n","      <td>127100.000000</td>\n","      <td>524788.000000</td>\n","      <td>515408.000000</td>\n","      <td>515402.000000</td>\n","      <td>224648.000000</td>\n","    </tr>\n","    <tr>\n","      <th>mean</th>\n","      <td>1.813984e+03</td>\n","      <td>14.014720</td>\n","      <td>5.416390</td>\n","      <td>27.431131</td>\n","      <td>13.989972</td>\n","      <td>3.036715</td>\n","      <td>8.717708</td>\n","      <td>1.297003</td>\n","      <td>0.518949</td>\n","      <td>9.632314</td>\n","    </tr>\n","    <tr>\n","      <th>std</th>\n","      <td>4.763734e+05</td>\n","      <td>17.400267</td>\n","      <td>11.116678</td>\n","      <td>30.919240</td>\n","      <td>20.221968</td>\n","      <td>7.129487</td>\n","      <td>15.256111</td>\n","      <td>6.204293</td>\n","      <td>2.484101</td>\n","      <td>8.749686</td>\n","    </tr>\n","    <tr>\n","      <th>min</th>\n","      <td>0.000000e+00</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>-0.100000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>-15.000000</td>\n","    </tr>\n","    <tr>\n","      <th>25%</th>\n","      <td>4.690000e+02</td>\n","      <td>1.000000</td>\n","      <td>0.200000</td>\n","      <td>2.800000</td>\n","      <td>0.700000</td>\n","      <td>0.010000</td>\n","      <td>1.400000</td>\n","      <td>0.050000</td>\n","      <td>0.020000</td>\n","      <td>2.000000</td>\n","    </tr>\n","    <tr>\n","      <th>50%</th>\n","      <td>1.109000e+03</td>\n","      <td>7.700000</td>\n","      <td>2.000000</td>\n","      <td>14.000000</td>\n","      <td>3.600000</td>\n","      <td>1.600000</td>\n","      <td>6.040000</td>\n","      <td>0.500000</td>\n","      <td>0.200000</td>\n","      <td>11.000000</td>\n","    </tr>\n","    <tr>\n","      <th>75%</th>\n","      <td>1.678000e+03</td>\n","      <td>22.000000</td>\n","      <td>8.000000</td>\n","      <td>52.865000</td>\n","      <td>20.000000</td>\n","      <td>3.600000</td>\n","      <td>12.200000</td>\n","      <td>1.300000</td>\n","      <td>0.520000</td>\n","      <td>16.000000</td>\n","    </tr>\n","    <tr>\n","      <th>max</th>\n","      <td>3.456712e+08</td>\n","      <td>670.000000</td>\n","      <td>5555.000000</td>\n","      <td>9700.000000</td>\n","      <td>365.000000</td>\n","      <td>900.000000</td>\n","      <td>8466.000000</td>\n","      <td>1900.000000</td>\n","      <td>762.000000</td>\n","      <td>40.000000</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["        energy_100g       fat_100g  saturated-fat_100g  carbohydrates_100g  \\\n","count  5.265380e+05  522448.000000       523224.000000       522251.000000   \n","mean   1.813984e+03      14.014720            5.416390           27.431131   \n","std    4.763734e+05      17.400267           11.116678           30.919240   \n","min    0.000000e+00       0.000000            0.000000            0.000000   \n","25%    4.690000e+02       1.000000            0.200000            2.800000   \n","50%    1.109000e+03       7.700000            2.000000           14.000000   \n","75%    1.678000e+03      22.000000            8.000000           52.865000   \n","max    3.456712e+08     670.000000         5555.000000         9700.000000   \n","\n","         sugars_100g     fiber_100g  proteins_100g      salt_100g  \\\n","count  523545.000000  127100.000000  524788.000000  515408.000000   \n","mean       13.989972       3.036715       8.717708       1.297003   \n","std        20.221968       7.129487      15.256111       6.204293   \n","min        -0.100000       0.000000       0.000000       0.000000   \n","25%         0.700000       0.010000       1.400000       0.050000   \n","50%         3.600000       1.600000       6.040000       0.500000   \n","75%        20.000000       3.600000      12.200000       1.300000   \n","max       365.000000     900.000000    8466.000000    1900.000000   \n","\n","         sodium_100g  nutrition-score-fr_100g  \n","count  515402.000000            224648.000000  \n","mean        0.518949                 9.632314  \n","std         2.484101                 8.749686  \n","min         0.000000               -15.000000  \n","25%         0.020000                 2.000000  \n","50%         0.200000                11.000000  \n","75%         0.520000                16.000000  \n","max       762.000000                40.000000  "]},"execution_count":44,"metadata":{},"output_type":"execute_result"}],"source":["data_food_inter[list_num].describe()"]},{"cell_type":"markdown","id":"21480260","metadata":{"papermill":{"duration":0.025134,"end_time":"2023-11-15T13:49:59.901096","exception":false,"start_time":"2023-11-15T13:49:59.875962","status":"completed"},"tags":[]},"source":["Définissons une fonction qui identifie les outliers et les transforment en valeurs manquantes"]},{"cell_type":"code","execution_count":45,"id":"d3f8416d","metadata":{"execution":{"iopub.execute_input":"2023-11-15T13:49:59.95383Z","iopub.status.busy":"2023-11-15T13:49:59.952361Z","iopub.status.idle":"2023-11-15T13:49:59.960573Z","shell.execute_reply":"2023-11-15T13:49:59.959035Z"},"papermill":{"duration":0.036765,"end_time":"2023-11-15T13:49:59.96305","exception":false,"start_time":"2023-11-15T13:49:59.926285","status":"completed"},"tags":[]},"outputs":[],"source":["def is_outlier(input_df,liste_1,liste_2,var):\n","    for k in liste_1:\n","        df=input_df[input_df[var]==k]\n","        for i in liste_2:\n","            q1=input_df[input_df[var]==k][i].quantile(.25)\n","            q3=input_df[input_df[var]==k][i].quantile(.75)\n","            iq_range = q3 - q1\n","            mask= df[i]> (q3 + (1.5* iq_range))\n","            df.loc[mask,i]=np.NaN\n","            mask2=df[i]< (q1 - (1.5* iq_range))\n","            df.loc[mask2,i]=np.NaN\n","            input_df[input_df[var]==k]=df"]},{"cell_type":"code","execution_count":46,"id":"2b2fe8a7","metadata":{"execution":{"iopub.execute_input":"2023-11-15T13:50:00.016644Z","iopub.status.busy":"2023-11-15T13:50:00.015717Z","iopub.status.idle":"2023-11-15T13:50:24.964165Z","shell.execute_reply":"2023-11-15T13:50:24.963278Z"},"papermill":{"duration":24.978075,"end_time":"2023-11-15T13:50:24.966328","exception":false,"start_time":"2023-11-15T13:49:59.988253","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>energy_100g</th>\n","      <th>fat_100g</th>\n","      <th>saturated-fat_100g</th>\n","      <th>carbohydrates_100g</th>\n","      <th>sugars_100g</th>\n","      <th>fiber_100g</th>\n","      <th>proteins_100g</th>\n","      <th>salt_100g</th>\n","      <th>sodium_100g</th>\n","      <th>nutrition-score-fr_100g</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>count</th>\n","      <td>516571.000000</td>\n","      <td>506379.000000</td>\n","      <td>488000.000000</td>\n","      <td>511146.000000</td>\n","      <td>487512.000000</td>\n","      <td>118202.000000</td>\n","      <td>503695.000000</td>\n","      <td>481283.000000</td>\n","      <td>481281.000000</td>\n","      <td>222936.000000</td>\n","    </tr>\n","    <tr>\n","      <th>mean</th>\n","      <td>1138.629741</td>\n","      <td>13.000471</td>\n","      <td>4.227507</td>\n","      <td>27.146523</td>\n","      <td>10.814149</td>\n","      <td>2.132942</td>\n","      <td>7.718842</td>\n","      <td>0.688794</td>\n","      <td>0.275541</td>\n","      <td>9.566566</td>\n","    </tr>\n","    <tr>\n","      <th>std</th>\n","      <td>770.855944</td>\n","      <td>15.692576</td>\n","      <td>5.628414</td>\n","      <td>27.696396</td>\n","      <td>15.683449</td>\n","      <td>2.430701</td>\n","      <td>7.470680</td>\n","      <td>0.778482</td>\n","      <td>0.311425</td>\n","      <td>8.718419</td>\n","    </tr>\n","    <tr>\n","      <th>min</th>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>-0.100000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>-15.000000</td>\n","    </tr>\n","    <tr>\n","      <th>25%</th>\n","      <td>465.000000</td>\n","      <td>0.900000</td>\n","      <td>0.140000</td>\n","      <td>2.600000</td>\n","      <td>0.600000</td>\n","      <td>0.000000</td>\n","      <td>1.300000</td>\n","      <td>0.040000</td>\n","      <td>0.016000</td>\n","      <td>2.000000</td>\n","    </tr>\n","    <tr>\n","      <th>50%</th>\n","      <td>1096.000000</td>\n","      <td>7.300000</td>\n","      <td>1.700000</td>\n","      <td>14.000000</td>\n","      <td>3.000000</td>\n","      <td>1.400000</td>\n","      <td>5.900000</td>\n","      <td>0.400000</td>\n","      <td>0.160000</td>\n","      <td>10.000000</td>\n","    </tr>\n","    <tr>\n","      <th>75%</th>\n","      <td>1669.000000</td>\n","      <td>21.000000</td>\n","      <td>6.210000</td>\n","      <td>52.300000</td>\n","      <td>14.000000</td>\n","      <td>3.100000</td>\n","      <td>11.600000</td>\n","      <td>1.100000</td>\n","      <td>0.440000</td>\n","      <td>16.000000</td>\n","    </tr>\n","    <tr>\n","      <th>max</th>\n","      <td>5866.000000</td>\n","      <td>109.000000</td>\n","      <td>44.000000</td>\n","      <td>128.000000</td>\n","      <td>92.000000</td>\n","      <td>13.400000</td>\n","      <td>47.000000</td>\n","      <td>5.580000</td>\n","      <td>2.232000</td>\n","      <td>37.000000</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["         energy_100g       fat_100g  saturated-fat_100g  carbohydrates_100g  \\\n","count  516571.000000  506379.000000       488000.000000       511146.000000   \n","mean     1138.629741      13.000471            4.227507           27.146523   \n","std       770.855944      15.692576            5.628414           27.696396   \n","min         0.000000       0.000000            0.000000            0.000000   \n","25%       465.000000       0.900000            0.140000            2.600000   \n","50%      1096.000000       7.300000            1.700000           14.000000   \n","75%      1669.000000      21.000000            6.210000           52.300000   \n","max      5866.000000     109.000000           44.000000          128.000000   \n","\n","         sugars_100g     fiber_100g  proteins_100g      salt_100g  \\\n","count  487512.000000  118202.000000  503695.000000  481283.000000   \n","mean       10.814149       2.132942       7.718842       0.688794   \n","std        15.683449       2.430701       7.470680       0.778482   \n","min        -0.100000       0.000000       0.000000       0.000000   \n","25%         0.600000       0.000000       1.300000       0.040000   \n","50%         3.000000       1.400000       5.900000       0.400000   \n","75%        14.000000       3.100000      11.600000       1.100000   \n","max        92.000000      13.400000      47.000000       5.580000   \n","\n","         sodium_100g  nutrition-score-fr_100g  \n","count  481281.000000            222936.000000  \n","mean        0.275541                 9.566566  \n","std         0.311425                 8.718419  \n","min         0.000000               -15.000000  \n","25%         0.016000                 2.000000  \n","50%         0.160000                10.000000  \n","75%         0.440000                16.000000  \n","max         2.232000                37.000000  "]},"execution_count":46,"metadata":{},"output_type":"execute_result"}],"source":["#transformons les outliers en valeurs manquantes: \n","is_outlier(data_food_inter, list_pnns_1, list_num, 'pnns_groups_1')\n","data_food_inter[list_num].describe()"]},{"cell_type":"markdown","id":"22075999","metadata":{"papermill":{"duration":0.026548,"end_time":"2023-11-15T13:50:25.019314","exception":false,"start_time":"2023-11-15T13:50:24.992766","status":"completed"},"tags":[]},"source":["**Traitement des valeurs manquantes**"]},{"cell_type":"code","execution_count":47,"id":"a9b0cd6e","metadata":{"execution":{"iopub.execute_input":"2023-11-15T13:50:25.072855Z","iopub.status.busy":"2023-11-15T13:50:25.072473Z","iopub.status.idle":"2023-11-15T13:50:25.106799Z","shell.execute_reply":"2023-11-15T13:50:25.105435Z"},"papermill":{"duration":0.064418,"end_time":"2023-11-15T13:50:25.109489","exception":false,"start_time":"2023-11-15T13:50:25.045071","status":"completed"},"tags":[]},"outputs":[],"source":["data_food_cleaned = data_food_aberr.copy()"]},{"cell_type":"code","execution_count":48,"id":"c9dc9c5e","metadata":{"execution":{"iopub.execute_input":"2023-11-15T13:50:25.163285Z","iopub.status.busy":"2023-11-15T13:50:25.162924Z","iopub.status.idle":"2023-11-15T13:50:25.449319Z","shell.execute_reply":"2023-11-15T13:50:25.448239Z"},"papermill":{"duration":0.315605,"end_time":"2023-11-15T13:50:25.451707","exception":false,"start_time":"2023-11-15T13:50:25.136102","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["code                            0\n","product_name                16493\n","countries_fr                    0\n","energy_100g                131386\n","fat_100g                   134528\n","saturated-fat_100g         133750\n","carbohydrates_100g         134737\n","sugars_100g                133438\n","fiber_100g                 529566\n","proteins_100g              131868\n","salt_100g                  141563\n","sodium_100g                141564\n","nutriscore_grade           432013\n","nutrition-score-fr_100g    432006\n","pnns_groups_1                   0\n","pnns_groups_2                   0\n","dtype: int64"]},"execution_count":48,"metadata":{},"output_type":"execute_result"}],"source":["data_food_cleaned.isna().sum()"]},{"cell_type":"code","execution_count":49,"id":"f12fc5d1","metadata":{"execution":{"iopub.execute_input":"2023-11-15T13:50:25.506671Z","iopub.status.busy":"2023-11-15T13:50:25.506313Z","iopub.status.idle":"2023-11-15T13:50:26.764319Z","shell.execute_reply":"2023-11-15T13:50:26.76339Z"},"papermill":{"duration":1.28747,"end_time":"2023-11-15T13:50:26.76616","exception":false,"start_time":"2023-11-15T13:50:25.47869","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 2500x1000 with 3 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["#Déterminons le taux de remplissage\n","ax=msno.bar(data_food_cleaned.sample(1000))"]},{"cell_type":"code","execution_count":50,"id":"75004300","metadata":{"execution":{"iopub.execute_input":"2023-11-15T13:50:26.828944Z","iopub.status.busy":"2023-11-15T13:50:26.827023Z","iopub.status.idle":"2023-11-15T13:50:26.860052Z","shell.execute_reply":"2023-11-15T13:50:26.858602Z"},"papermill":{"duration":0.069514,"end_time":"2023-11-15T13:50:26.862319","exception":false,"start_time":"2023-11-15T13:50:26.792805","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>code</th>\n","      <th>product_name</th>\n","      <th>countries_fr</th>\n","      <th>energy_100g</th>\n","      <th>fat_100g</th>\n","      <th>saturated-fat_100g</th>\n","      <th>carbohydrates_100g</th>\n","      <th>sugars_100g</th>\n","      <th>fiber_100g</th>\n","      <th>proteins_100g</th>\n","      <th>salt_100g</th>\n","      <th>sodium_100g</th>\n","      <th>nutriscore_grade</th>\n","      <th>nutrition-score-fr_100g</th>\n","      <th>pnns_groups_1</th>\n","      <th>pnns_groups_2</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>645238</th>\n","      <td>3760029248001</td>\n","      <td>Caramels tendres au beurre salé au sel de Guér...</td>\n","      <td>France</td>\n","      <td>1717.0</td>\n","      <td>10.9</td>\n","      <td>7.0</td>\n","      <td>73.5</td>\n","      <td>49.3</td>\n","      <td>NaN</td>\n","      <td>3.0</td>\n","      <td>1.7000</td>\n","      <td>0.68000</td>\n","      <td>e</td>\n","      <td>28.0</td>\n","      <td>sugary snacks</td>\n","      <td>sweets</td>\n","    </tr>\n","    <tr>\n","      <th>372552</th>\n","      <td>3029330062806</td>\n","      <td>Jacquet Les bouchées créatives à garnir</td>\n","      <td>France</td>\n","      <td>1898.0</td>\n","      <td>15.5</td>\n","      <td>1.3</td>\n","      <td>68.0</td>\n","      <td>2.0</td>\n","      <td>3.0</td>\n","      <td>8.5</td>\n","      <td>1.7526</td>\n","      <td>0.70104</td>\n","      <td>c</td>\n","      <td>10.0</td>\n","      <td>salty snacks</td>\n","      <td>appetizers</td>\n","    </tr>\n","    <tr>\n","      <th>446595</th>\n","      <td>3257980112590</td>\n","      <td>Boudoirs</td>\n","      <td>France</td>\n","      <td>1615.0</td>\n","      <td>3.2</td>\n","      <td>1.2</td>\n","      <td>80.4</td>\n","      <td>51.8</td>\n","      <td>1.6</td>\n","      <td>6.9</td>\n","      <td>0.0900</td>\n","      <td>0.03600</td>\n","      <td>d</td>\n","      <td>14.0</td>\n","      <td>sugary snacks</td>\n","      <td>biscuits and cakes</td>\n","    </tr>\n","    <tr>\n","      <th>396289</th>\n","      <td>3160181210524</td>\n","      <td>Cookies tout chocolat Biocoop</td>\n","      <td>France</td>\n","      <td>2040.0</td>\n","      <td>25.0</td>\n","      <td>14.0</td>\n","      <td>56.0</td>\n","      <td>33.0</td>\n","      <td>5.5</td>\n","      <td>7.0</td>\n","      <td>0.3810</td>\n","      <td>0.15240</td>\n","      <td>e</td>\n","      <td>19.0</td>\n","      <td>sugary snacks</td>\n","      <td>biscuits and cakes</td>\n","    </tr>\n","    <tr>\n","      <th>944480</th>\n","      <td>8002270014901</td>\n","      <td>Eau minérale naturelle avec adjonction de gaz ...</td>\n","      <td>Belgique,France,Italie,Luxembourg,Suisse</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>a</td>\n","      <td>0.0</td>\n","      <td>beverages</td>\n","      <td>waters and flavored waters</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>644452</th>\n","      <td>3760025190069</td>\n","      <td>Gwada original</td>\n","      <td>France</td>\n","      <td>88.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>5.0</td>\n","      <td>1.3</td>\n","      <td>NaN</td>\n","      <td>0.0</td>\n","      <td>0.0000</td>\n","      <td>0.00000</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>unknown</td>\n","      <td>unknown</td>\n","    </tr>\n","    <tr>\n","      <th>622642</th>\n","      <td>3700048100027</td>\n","      <td>Boulettes au boeuf</td>\n","      <td>France</td>\n","      <td>862.0</td>\n","      <td>15.0</td>\n","      <td>5.7</td>\n","      <td>0.7</td>\n","      <td>0.3</td>\n","      <td>NaN</td>\n","      <td>17.0</td>\n","      <td>0.1200</td>\n","      <td>0.04800</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>unknown</td>\n","      <td>unknown</td>\n","    </tr>\n","    <tr>\n","      <th>89389</th>\n","      <td>66200021030</td>\n","      <td>Assaisonnement La Grille (poulet De Barbecue)</td>\n","      <td>France</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>unknown</td>\n","      <td>unknown</td>\n","    </tr>\n","    <tr>\n","      <th>85567</th>\n","      <td>60383993542</td>\n","      <td>Honey mustard</td>\n","      <td>France</td>\n","      <td>837.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>40.0</td>\n","      <td>40.0</td>\n","      <td>NaN</td>\n","      <td>4.0</td>\n","      <td>1.2500</td>\n","      <td>0.50000</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>unknown</td>\n","      <td>unknown</td>\n","    </tr>\n","    <tr>\n","      <th>368169</th>\n","      <td>3017760038409</td>\n","      <td>Lulu la barquette (Fraise)</td>\n","      <td>Belgique,Canada,France,Suisse</td>\n","      <td>1480.0</td>\n","      <td>2.1</td>\n","      <td>0.5</td>\n","      <td>78.0</td>\n","      <td>60.0</td>\n","      <td>1.2</td>\n","      <td>4.2</td>\n","      <td>0.0800</td>\n","      <td>0.03200</td>\n","      <td>d</td>\n","      <td>13.0</td>\n","      <td>fish meat eggs</td>\n","      <td>eggs</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>656654 rows × 16 columns</p>\n","</div>"],"text/plain":["                 code                                       product_name  \\\n","645238  3760029248001  Caramels tendres au beurre salé au sel de Guér...   \n","372552  3029330062806            Jacquet Les bouchées créatives à garnir   \n","446595  3257980112590                                           Boudoirs   \n","396289  3160181210524                      Cookies tout chocolat Biocoop   \n","944480  8002270014901  Eau minérale naturelle avec adjonction de gaz ...   \n","...               ...                                                ...   \n","644452  3760025190069                                     Gwada original   \n","622642  3700048100027                                 Boulettes au boeuf   \n","89389     66200021030      Assaisonnement La Grille (poulet De Barbecue)   \n","85567     60383993542                                      Honey mustard   \n","368169  3017760038409                         Lulu la barquette (Fraise)   \n","\n","                                    countries_fr  energy_100g  fat_100g  \\\n","645238                                    France       1717.0      10.9   \n","372552                                    France       1898.0      15.5   \n","446595                                    France       1615.0       3.2   \n","396289                                    France       2040.0      25.0   \n","944480  Belgique,France,Italie,Luxembourg,Suisse          NaN       NaN   \n","...                                          ...          ...       ...   \n","644452                                    France         88.0       0.0   \n","622642                                    France        862.0      15.0   \n","89389                                     France          NaN       NaN   \n","85567                                     France        837.0       0.0   \n","368169             Belgique,Canada,France,Suisse       1480.0       2.1   \n","\n","        saturated-fat_100g  carbohydrates_100g  sugars_100g  fiber_100g  \\\n","645238                 7.0                73.5         49.3         NaN   \n","372552                 1.3                68.0          2.0         3.0   \n","446595                 1.2                80.4         51.8         1.6   \n","396289                14.0                56.0         33.0         5.5   \n","944480                 NaN                 NaN          NaN         NaN   \n","...                    ...                 ...          ...         ...   \n","644452                 0.0                 5.0          1.3         NaN   \n","622642                 5.7                 0.7          0.3         NaN   \n","89389                  NaN                 NaN          NaN         NaN   \n","85567                  0.0                40.0         40.0         NaN   \n","368169                 0.5                78.0         60.0         1.2   \n","\n","        proteins_100g  salt_100g  sodium_100g nutriscore_grade  \\\n","645238            3.0     1.7000      0.68000                e   \n","372552            8.5     1.7526      0.70104                c   \n","446595            6.9     0.0900      0.03600                d   \n","396289            7.0     0.3810      0.15240                e   \n","944480            NaN        NaN          NaN                a   \n","...               ...        ...          ...              ...   \n","644452            0.0     0.0000      0.00000              NaN   \n","622642           17.0     0.1200      0.04800              NaN   \n","89389             NaN        NaN          NaN              NaN   \n","85567             4.0     1.2500      0.50000              NaN   \n","368169            4.2     0.0800      0.03200                d   \n","\n","        nutrition-score-fr_100g   pnns_groups_1               pnns_groups_2  \n","645238                     28.0   sugary snacks                      sweets  \n","372552                     10.0    salty snacks                  appetizers  \n","446595                     14.0   sugary snacks          biscuits and cakes  \n","396289                     19.0   sugary snacks          biscuits and cakes  \n","944480                      0.0       beverages  waters and flavored waters  \n","...                         ...             ...                         ...  \n","644452                      NaN         unknown                     unknown  \n","622642                      NaN         unknown                     unknown  \n","89389                       NaN         unknown                     unknown  \n","85567                       NaN         unknown                     unknown  \n","368169                     13.0  fish meat eggs                        eggs  \n","\n","[656654 rows x 16 columns]"]},"execution_count":50,"metadata":{},"output_type":"execute_result"}],"source":["data_food_cleaned"]},{"cell_type":"markdown","id":"2b3373a2","metadata":{"papermill":{"duration":0.026448,"end_time":"2023-11-15T13:50:26.919523","exception":false,"start_time":"2023-11-15T13:50:26.893075","status":"completed"},"tags":[]},"source":["**Gestion du Product_name**\n","Nous décidons de supprimer tous les produits qui n'ont ni nom, ni catégorie et qui ne pourront donc pas être clairement identifiés"]},{"cell_type":"code","execution_count":51,"id":"d2080638","metadata":{"execution":{"iopub.execute_input":"2023-11-15T13:50:26.976094Z","iopub.status.busy":"2023-11-15T13:50:26.974131Z","iopub.status.idle":"2023-11-15T13:50:27.332785Z","shell.execute_reply":"2023-11-15T13:50:27.331376Z"},"papermill":{"duration":0.389108,"end_time":"2023-11-15T13:50:27.335281","exception":false,"start_time":"2023-11-15T13:50:26.946173","status":"completed"},"tags":[]},"outputs":[],"source":["data_food_cleaned = data_food_cleaned[~((data_food_cleaned.product_name.isnull()) \n","                        & ((data_food_cleaned.pnns_groups_1 == \"unknown\")  | (data_food_cleaned.pnns_groups_2 == \"unknown\")))]"]},{"cell_type":"code","execution_count":52,"id":"f0f3b821","metadata":{"execution":{"iopub.execute_input":"2023-11-15T13:50:27.388537Z","iopub.status.busy":"2023-11-15T13:50:27.388206Z","iopub.status.idle":"2023-11-15T13:50:27.500134Z","shell.execute_reply":"2023-11-15T13:50:27.499004Z"},"papermill":{"duration":0.141309,"end_time":"2023-11-15T13:50:27.502582","exception":false,"start_time":"2023-11-15T13:50:27.361273","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["881"]},"execution_count":52,"metadata":{},"output_type":"execute_result"}],"source":["data_food_cleaned['product_name'].isna().sum()"]},{"cell_type":"code","execution_count":53,"id":"954d4cf7","metadata":{"execution":{"iopub.execute_input":"2023-11-15T13:50:27.561843Z","iopub.status.busy":"2023-11-15T13:50:27.561308Z","iopub.status.idle":"2023-11-15T13:50:27.766237Z","shell.execute_reply":"2023-11-15T13:50:27.765563Z"},"papermill":{"duration":0.236988,"end_time":"2023-11-15T13:50:27.768369","exception":false,"start_time":"2023-11-15T13:50:27.531381","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["0"]},"execution_count":53,"metadata":{},"output_type":"execute_result"}],"source":["data_food_cleaned.loc[data_food_cleaned['product_name'].isna(), 'product_name'] = 'unknown'\n","data_food_cleaned['product_name'].isna().sum()"]},{"cell_type":"markdown","id":"40488be9","metadata":{"papermill":{"duration":0.028639,"end_time":"2023-11-15T13:50:27.824717","exception":false,"start_time":"2023-11-15T13:50:27.796078","status":"completed"},"tags":[]},"source":["**Remplissage par un IterativeImputer**\n","Réalisons une analyse de la corrélation linéaire entre les variables quantitatives afin de déterminer les features éligibles à cette méthode d'imputation"]},{"cell_type":"code","execution_count":54,"id":"0b1669ff","metadata":{"execution":{"iopub.execute_input":"2023-11-15T13:50:27.884957Z","iopub.status.busy":"2023-11-15T13:50:27.884218Z","iopub.status.idle":"2023-11-15T13:50:28.417791Z","shell.execute_reply":"2023-11-15T13:50:28.416127Z"},"papermill":{"duration":0.566662,"end_time":"2023-11-15T13:50:28.420081","exception":false,"start_time":"2023-11-15T13:50:27.853419","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 1100x900 with 2 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# Calcul de la matrice de corrélation\n","corr = data_food_cleaned[['energy_100g', 'fat_100g', 'saturated-fat_100g', 'carbohydrates_100g',\n","       'sugars_100g', 'fiber_100g', 'proteins_100g', 'salt_100g',\n","       'sodium_100g','nutrition-score-fr_100g']].corr()\n","\n","# Générer un masque pour le triangle supérieur\n","mask = np.triu(np.ones_like(corr, dtype=bool))\n","\n","# Configurer la figure matplotlib\n","f, ax = plt.subplots(figsize=(11, 9))\n","\n","# Générer une palette de couleurs divergentes personnalisée\n","cmap = sns.diverging_palette(230, 20, as_cmap=True)\n","\n","# Dessiner la carte thermique avec le masque et corriger le format d'image\n","sns.heatmap(corr, mask=mask, cmap=cmap, vmax=1, center=0,\n","            square=True, linewidths=.5, cbar_kws={\"shrink\": .5});"]},{"cell_type":"code","execution_count":55,"id":"92ecd47f","metadata":{"execution":{"iopub.execute_input":"2023-11-15T13:50:28.483505Z","iopub.status.busy":"2023-11-15T13:50:28.483132Z","iopub.status.idle":"2023-11-15T13:50:28.488261Z","shell.execute_reply":"2023-11-15T13:50:28.486973Z"},"papermill":{"duration":0.039739,"end_time":"2023-11-15T13:50:28.490234","exception":false,"start_time":"2023-11-15T13:50:28.450495","status":"completed"},"tags":[]},"outputs":[],"source":["#Utilisons cette méthode d'imputation sur les features 'salt_100g' 'sodium_100g' très corrélées entre elles:\n","list_corr = ['salt_100g', 'sodium_100g']"]},{"cell_type":"code","execution_count":56,"id":"1481152d","metadata":{"execution":{"iopub.execute_input":"2023-11-15T13:50:28.550246Z","iopub.status.busy":"2023-11-15T13:50:28.549324Z","iopub.status.idle":"2023-11-15T13:50:28.566494Z","shell.execute_reply":"2023-11-15T13:50:28.564099Z"},"papermill":{"duration":0.050156,"end_time":"2023-11-15T13:50:28.569186","exception":false,"start_time":"2023-11-15T13:50:28.51903","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["salt_100g      126542\n","sodium_100g    126543\n","dtype: int64"]},"execution_count":56,"metadata":{},"output_type":"execute_result"}],"source":["data_food_cleaned[list_corr].isna().sum()"]},{"cell_type":"code","execution_count":57,"id":"fd6f0e05","metadata":{"execution":{"iopub.execute_input":"2023-11-15T13:50:28.627554Z","iopub.status.busy":"2023-11-15T13:50:28.627042Z","iopub.status.idle":"2023-11-15T13:50:28.635503Z","shell.execute_reply":"2023-11-15T13:50:28.634089Z"},"papermill":{"duration":0.039707,"end_time":"2023-11-15T13:50:28.637603","exception":false,"start_time":"2023-11-15T13:50:28.597896","status":"completed"},"tags":[]},"outputs":[],"source":["#définition de la fonction iterative imputer:\n","def iterative_imputer(df, liste):\n","    for i in liste:\n","        x = df[[i]].values\n","        imputer = IterativeImputer()\n","        imputer.fit(x)\n","        x = imputer.transform(x)\n","        df[i] = x"]},{"cell_type":"code","execution_count":58,"id":"edef6e5e","metadata":{"execution":{"iopub.execute_input":"2023-11-15T13:50:28.696057Z","iopub.status.busy":"2023-11-15T13:50:28.694742Z","iopub.status.idle":"2023-11-15T13:50:28.768239Z","shell.execute_reply":"2023-11-15T13:50:28.766587Z"},"papermill":{"duration":0.104032,"end_time":"2023-11-15T13:50:28.770658","exception":false,"start_time":"2023-11-15T13:50:28.666626","status":"completed"},"tags":[]},"outputs":[{"name":"stderr","output_type":"stream","text":["/tmp/ipykernel_20/2474625232.py:8: SettingWithCopyWarning: \n","A value is trying to be set on a copy of a slice from a DataFrame.\n","Try using .loc[row_indexer,col_indexer] = value instead\n","\n","See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n","  df[i] = x\n","/tmp/ipykernel_20/2474625232.py:8: SettingWithCopyWarning: \n","A value is trying to be set on a copy of a slice from a DataFrame.\n","Try using .loc[row_indexer,col_indexer] = value instead\n","\n","See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n","  df[i] = x\n"]}],"source":["iterative_imputer(data_food_cleaned, list_corr)"]},{"cell_type":"code","execution_count":59,"id":"2f431b8c","metadata":{"execution":{"iopub.execute_input":"2023-11-15T13:50:28.829127Z","iopub.status.busy":"2023-11-15T13:50:28.828681Z","iopub.status.idle":"2023-11-15T13:50:28.843251Z","shell.execute_reply":"2023-11-15T13:50:28.842201Z"},"papermill":{"duration":0.046064,"end_time":"2023-11-15T13:50:28.845375","exception":false,"start_time":"2023-11-15T13:50:28.799311","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["salt_100g      0\n","sodium_100g    0\n","dtype: int64"]},"execution_count":59,"metadata":{},"output_type":"execute_result"}],"source":["data_food_cleaned[list_corr].isna().sum()"]},{"cell_type":"code","execution_count":60,"id":"458965b9","metadata":{"execution":{"iopub.execute_input":"2023-11-15T13:50:28.904471Z","iopub.status.busy":"2023-11-15T13:50:28.904087Z","iopub.status.idle":"2023-11-15T13:50:28.914979Z","shell.execute_reply":"2023-11-15T13:50:28.914368Z"},"papermill":{"duration":0.043115,"end_time":"2023-11-15T13:50:28.917405","exception":false,"start_time":"2023-11-15T13:50:28.87429","status":"completed"},"tags":[]},"outputs":[{"name":"stderr","output_type":"stream","text":["/tmp/ipykernel_20/2950199114.py:4: SettingWithCopyWarning: \n","A value is trying to be set on a copy of a slice from a DataFrame\n","\n","See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n","  data_food_cleaned['fiber_100g'].fillna(method = 'bfill', inplace=True)\n"]}],"source":["#Remplissage par O\n","#Fiber_100g\n","#Nous décidons de remplacer les valeurs manquantes par 'O' car de nombreux produits ne contiennent pas de fibres\n","data_food_cleaned['fiber_100g'].fillna(method = 'bfill', inplace=True)"]},{"cell_type":"code","execution_count":61,"id":"dcd5a3f9","metadata":{"execution":{"iopub.execute_input":"2023-11-15T13:50:28.97545Z","iopub.status.busy":"2023-11-15T13:50:28.975099Z","iopub.status.idle":"2023-11-15T13:50:28.982183Z","shell.execute_reply":"2023-11-15T13:50:28.981183Z"},"papermill":{"duration":0.037985,"end_time":"2023-11-15T13:50:28.984258","exception":false,"start_time":"2023-11-15T13:50:28.946273","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["0"]},"execution_count":61,"metadata":{},"output_type":"execute_result"}],"source":["data_food_cleaned['fiber_100g'].isna().sum()"]},{"cell_type":"markdown","id":"3c6747f3","metadata":{"papermill":{"duration":0.029888,"end_time":"2023-11-15T13:50:29.045228","exception":false,"start_time":"2023-11-15T13:50:29.01534","status":"completed"},"tags":[]},"source":["**remplissage par KNNImputer**"]},{"cell_type":"code","execution_count":62,"id":"d05f56be","metadata":{"execution":{"iopub.execute_input":"2023-11-15T13:50:29.106617Z","iopub.status.busy":"2023-11-15T13:50:29.106267Z","iopub.status.idle":"2023-11-15T13:50:29.111526Z","shell.execute_reply":"2023-11-15T13:50:29.110848Z"},"papermill":{"duration":0.038195,"end_time":"2023-11-15T13:50:29.113254","exception":false,"start_time":"2023-11-15T13:50:29.075059","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["['sugars_100g', 'proteins_100g', 'carbohydrates_100g']"]},"execution_count":62,"metadata":{},"output_type":"execute_result"}],"source":["knn_features = ['sugars_100g', 'proteins_100g', 'carbohydrates_100g']\n","knn_features"]},{"cell_type":"code","execution_count":63,"id":"6712d6d1","metadata":{"execution":{"iopub.execute_input":"2023-11-15T13:50:29.174108Z","iopub.status.busy":"2023-11-15T13:50:29.173726Z","iopub.status.idle":"2023-11-15T13:50:29.181331Z","shell.execute_reply":"2023-11-15T13:50:29.180546Z"},"papermill":{"duration":0.040215,"end_time":"2023-11-15T13:50:29.183211","exception":false,"start_time":"2023-11-15T13:50:29.142996","status":"completed"},"tags":[]},"outputs":[],"source":["def knn_imputer(df,liste):\n","    # On entraine le modèle d'imputation sur un échantillon de données\n","    sample_data = df[liste].sample(frac=0.25, random_state=1)\n","    ff = KNNImputer(n_neighbors=5, missing_values=np.nan)\n","    ff.fit(sample_data)\n","\n","    # Puis on applique le modèle sur l'ensemble des données\n","    data_imputed = ff.transform(df[liste])\n","    df_data_imputed = pd.DataFrame(data_imputed, columns=knn_features)\n","    \n","    for col_knn in liste:\n","        df[col_knn] = df_data_imputed[col_knn].values\n","    return df"]},{"cell_type":"code","execution_count":64,"id":"c4870b8a","metadata":{"execution":{"iopub.execute_input":"2023-11-15T13:50:29.24354Z","iopub.status.busy":"2023-11-15T13:50:29.243172Z","iopub.status.idle":"2023-11-15T14:00:58.823466Z","shell.execute_reply":"2023-11-15T14:00:58.820535Z"},"papermill":{"duration":629.648355,"end_time":"2023-11-15T14:00:58.86106","exception":false,"start_time":"2023-11-15T13:50:29.212705","status":"completed"},"tags":[]},"outputs":[{"name":"stderr","output_type":"stream","text":["/tmp/ipykernel_20/1208596834.py:12: SettingWithCopyWarning: \n","A value is trying to be set on a copy of a slice from a DataFrame.\n","Try using .loc[row_indexer,col_indexer] = value instead\n","\n","See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n","  df[col_knn] = df_data_imputed[col_knn].values\n"]}],"source":["data_food_cleaned=knn_imputer(data_food_cleaned,knn_features)"]},{"cell_type":"code","execution_count":65,"id":"5d3725f8","metadata":{"execution":{"iopub.execute_input":"2023-11-15T14:00:58.922726Z","iopub.status.busy":"2023-11-15T14:00:58.921545Z","iopub.status.idle":"2023-11-15T14:00:58.944847Z","shell.execute_reply":"2023-11-15T14:00:58.943733Z"},"papermill":{"duration":0.057701,"end_time":"2023-11-15T14:00:58.947085","exception":false,"start_time":"2023-11-15T14:00:58.889384","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["sugars_100g           0\n","proteins_100g         0\n","carbohydrates_100g    0\n","dtype: int64"]},"execution_count":65,"metadata":{},"output_type":"execute_result"}],"source":["data_food_cleaned[knn_features].isna().sum()"]},{"cell_type":"markdown","id":"f3a8aeea","metadata":{"papermill":{"duration":0.03014,"end_time":"2023-11-15T14:00:59.005462","exception":false,"start_time":"2023-11-15T14:00:58.975322","status":"completed"},"tags":[]},"source":["**Remplissage par la médiane**\n","Nous décidons l'imputation par la mediane sur des données homogénes comme celles par les catégories de produits de la variable pnns_group_1.\n","Définissons la liste de features dont les valeurs manquantes seront imputer par ma mediane:"]},{"cell_type":"code","execution_count":66,"id":"7f0da705","metadata":{"execution":{"iopub.execute_input":"2023-11-15T14:00:59.065424Z","iopub.status.busy":"2023-11-15T14:00:59.06486Z","iopub.status.idle":"2023-11-15T14:00:59.072276Z","shell.execute_reply":"2023-11-15T14:00:59.071375Z"},"papermill":{"duration":0.040082,"end_time":"2023-11-15T14:00:59.074528","exception":false,"start_time":"2023-11-15T14:00:59.034446","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["['energy_100g', 'fat_100g', 'saturated-fat_100g', 'nutrition-score-fr_100g']"]},"execution_count":66,"metadata":{},"output_type":"execute_result"}],"source":["liste_med=['energy_100g', 'fat_100g', 'saturated-fat_100g', 'nutrition-score-fr_100g']\n","liste_med"]},{"cell_type":"code","execution_count":67,"id":"706fd7a4","metadata":{"execution":{"iopub.execute_input":"2023-11-15T14:00:59.133047Z","iopub.status.busy":"2023-11-15T14:00:59.13258Z","iopub.status.idle":"2023-11-15T14:00:59.138866Z","shell.execute_reply":"2023-11-15T14:00:59.137799Z"},"papermill":{"duration":0.039484,"end_time":"2023-11-15T14:00:59.141784","exception":false,"start_time":"2023-11-15T14:00:59.1023","status":"completed"},"tags":[]},"outputs":[],"source":["def remplissage_median(df,liste,var):\n","    for col in liste:\n","        df[col] = df.groupby(var)[col].transform(lambda x: x.fillna(x.median()))"]},{"cell_type":"code","execution_count":68,"id":"24878dc0","metadata":{"execution":{"iopub.execute_input":"2023-11-15T14:00:59.202541Z","iopub.status.busy":"2023-11-15T14:00:59.201299Z","iopub.status.idle":"2023-11-15T14:00:59.83176Z","shell.execute_reply":"2023-11-15T14:00:59.830292Z"},"papermill":{"duration":0.664493,"end_time":"2023-11-15T14:00:59.834686","exception":false,"start_time":"2023-11-15T14:00:59.170193","status":"completed"},"tags":[]},"outputs":[{"name":"stderr","output_type":"stream","text":["/tmp/ipykernel_20/878432663.py:3: SettingWithCopyWarning: \n","A value is trying to be set on a copy of a slice from a DataFrame.\n","Try using .loc[row_indexer,col_indexer] = value instead\n","\n","See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n","  df[col] = df.groupby(var)[col].transform(lambda x: x.fillna(x.median()))\n","/tmp/ipykernel_20/878432663.py:3: SettingWithCopyWarning: \n","A value is trying to be set on a copy of a slice from a DataFrame.\n","Try using .loc[row_indexer,col_indexer] = value instead\n","\n","See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n","  df[col] = df.groupby(var)[col].transform(lambda x: x.fillna(x.median()))\n","/tmp/ipykernel_20/878432663.py:3: SettingWithCopyWarning: \n","A value is trying to be set on a copy of a slice from a DataFrame.\n","Try using .loc[row_indexer,col_indexer] = value instead\n","\n","See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n","  df[col] = df.groupby(var)[col].transform(lambda x: x.fillna(x.median()))\n","/tmp/ipykernel_20/878432663.py:3: SettingWithCopyWarning: \n","A value is trying to be set on a copy of a slice from a DataFrame.\n","Try using .loc[row_indexer,col_indexer] = value instead\n","\n","See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n","  df[col] = df.groupby(var)[col].transform(lambda x: x.fillna(x.median()))\n"]}],"source":["remplissage_median(data_food_cleaned, liste_med, 'pnns_groups_1')"]},{"cell_type":"code","execution_count":69,"id":"077f8b0e","metadata":{"execution":{"iopub.execute_input":"2023-11-15T14:00:59.896491Z","iopub.status.busy":"2023-11-15T14:00:59.895795Z","iopub.status.idle":"2023-11-15T14:00:59.914426Z","shell.execute_reply":"2023-11-15T14:00:59.913295Z"},"papermill":{"duration":0.052974,"end_time":"2023-11-15T14:00:59.916585","exception":false,"start_time":"2023-11-15T14:00:59.863611","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["energy_100g                0\n","fat_100g                   0\n","saturated-fat_100g         0\n","nutrition-score-fr_100g    0\n","dtype: int64"]},"execution_count":69,"metadata":{},"output_type":"execute_result"}],"source":["data_food_cleaned[liste_med].isna().sum()"]},{"cell_type":"code","execution_count":70,"id":"6d171f13","metadata":{"execution":{"iopub.execute_input":"2023-11-15T14:00:59.981842Z","iopub.status.busy":"2023-11-15T14:00:59.981434Z","iopub.status.idle":"2023-11-15T14:00:59.987757Z","shell.execute_reply":"2023-11-15T14:00:59.986818Z"},"papermill":{"duration":0.043785,"end_time":"2023-11-15T14:00:59.989894","exception":false,"start_time":"2023-11-15T14:00:59.946109","status":"completed"},"tags":[]},"outputs":[],"source":["#Gestion du nutrition grade fr\n","#Ayant précédemment imputer les valeurs manquantes du nutrition-score, nous pouvons imputer celles du nutrition grade en calculant le grade correspondant. \n","def calc_nutrigrade(score):\n","    if score< 0 :\n","        nutrigrade = \"a\"\n","    elif ((score >= 0) & (score < 5)):\n","        nutrigrade = \"b\"\n","    elif ((score >= 5) & (score < 10)) :\n","        nutrigrade = \"c\"\n","    elif ((score >= 10) & (score < 20)) :\n","        nutrigrade = \"d\"\n","    else:\n","        nutrigrade = \"e\"    \n","    return  nutrigrade"]},{"cell_type":"code","execution_count":71,"id":"7c8281e2","metadata":{"execution":{"iopub.execute_input":"2023-11-15T14:01:00.056404Z","iopub.status.busy":"2023-11-15T14:01:00.055972Z","iopub.status.idle":"2023-11-15T14:01:00.30108Z","shell.execute_reply":"2023-11-15T14:01:00.29953Z"},"papermill":{"duration":0.283061,"end_time":"2023-11-15T14:01:00.305224","exception":false,"start_time":"2023-11-15T14:01:00.022163","status":"completed"},"tags":[]},"outputs":[],"source":["indexes=data_food_cleaned.loc[data_food_cleaned['nutriscore_grade'].isna()].index"]},{"cell_type":"code","execution_count":72,"id":"c8e96367","metadata":{"execution":{"iopub.execute_input":"2023-11-15T14:01:00.368056Z","iopub.status.busy":"2023-11-15T14:01:00.367638Z","iopub.status.idle":"2023-11-15T14:01:00.374963Z","shell.execute_reply":"2023-11-15T14:01:00.373573Z"},"papermill":{"duration":0.040245,"end_time":"2023-11-15T14:01:00.376985","exception":false,"start_time":"2023-11-15T14:01:00.33674","status":"completed"},"tags":[]},"outputs":[],"source":["#définissons la fonction d'imputation des valeurs manquantes\n","def imputation_nutrigrade(df,index,var_1,var_2):\n","    for i in index:\n","        score=df.loc[df[var_1].index==i,var_1].iloc[0]\n","        df.loc[df[var_2].index==i,var_2]=calc_nutrigrade(score)"]},{"cell_type":"code","execution_count":73,"id":"46595a59","metadata":{"execution":{"iopub.execute_input":"2023-11-15T14:01:00.436457Z","iopub.status.busy":"2023-11-15T14:01:00.43601Z","iopub.status.idle":"2023-11-15T14:29:31.454338Z","shell.execute_reply":"2023-11-15T14:29:31.453089Z"},"papermill":{"duration":1711.052008,"end_time":"2023-11-15T14:29:31.458169","exception":false,"start_time":"2023-11-15T14:01:00.406161","status":"completed"},"tags":[]},"outputs":[],"source":["imputation_nutrigrade(data_food_cleaned,indexes,'nutrition-score-fr_100g','nutriscore_grade')"]},{"cell_type":"code","execution_count":74,"id":"88a23db8","metadata":{"execution":{"iopub.execute_input":"2023-11-15T14:29:31.524419Z","iopub.status.busy":"2023-11-15T14:29:31.523154Z","iopub.status.idle":"2023-11-15T14:29:31.83539Z","shell.execute_reply":"2023-11-15T14:29:31.833847Z"},"papermill":{"duration":0.34672,"end_time":"2023-11-15T14:29:31.837913","exception":false,"start_time":"2023-11-15T14:29:31.491193","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["code                       0\n","product_name               0\n","countries_fr               0\n","energy_100g                0\n","fat_100g                   0\n","saturated-fat_100g         0\n","carbohydrates_100g         0\n","sugars_100g                0\n","fiber_100g                 0\n","proteins_100g              0\n","salt_100g                  0\n","sodium_100g                0\n","nutriscore_grade           0\n","nutrition-score-fr_100g    0\n","pnns_groups_1              0\n","pnns_groups_2              0\n","dtype: int64"]},"execution_count":74,"metadata":{},"output_type":"execute_result"}],"source":["data_food_cleaned.isna().sum()"]},{"cell_type":"code","execution_count":75,"id":"c6bec610","metadata":{"execution":{"iopub.execute_input":"2023-11-15T14:29:31.903472Z","iopub.status.busy":"2023-11-15T14:29:31.903032Z","iopub.status.idle":"2023-11-15T14:29:32.201006Z","shell.execute_reply":"2023-11-15T14:29:32.200039Z"},"papermill":{"duration":0.331626,"end_time":"2023-11-15T14:29:32.202902","exception":false,"start_time":"2023-11-15T14:29:31.871276","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>energy_100g</th>\n","      <th>fat_100g</th>\n","      <th>saturated-fat_100g</th>\n","      <th>carbohydrates_100g</th>\n","      <th>sugars_100g</th>\n","      <th>fiber_100g</th>\n","      <th>proteins_100g</th>\n","      <th>salt_100g</th>\n","      <th>sodium_100g</th>\n","      <th>nutrition-score-fr_100g</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>count</th>\n","      <td>641042.000000</td>\n","      <td>641042.000000</td>\n","      <td>641042.000000</td>\n","      <td>641042.000000</td>\n","      <td>641042.000000</td>\n","      <td>641042.000000</td>\n","      <td>641042.000000</td>\n","      <td>641042.000000</td>\n","      <td>641042.000000</td>\n","      <td>641042.000000</td>\n","    </tr>\n","    <tr>\n","      <th>mean</th>\n","      <td>1142.874362</td>\n","      <td>12.979886</td>\n","      <td>4.839392</td>\n","      <td>27.362176</td>\n","      <td>13.968521</td>\n","      <td>3.351229</td>\n","      <td>8.708830</td>\n","      <td>1.279682</td>\n","      <td>0.512449</td>\n","      <td>10.450070</td>\n","    </tr>\n","    <tr>\n","      <th>std</th>\n","      <td>719.620145</td>\n","      <td>15.947784</td>\n","      <td>7.337006</td>\n","      <td>25.145915</td>\n","      <td>18.253929</td>\n","      <td>5.370146</td>\n","      <td>8.883943</td>\n","      <td>4.305194</td>\n","      <td>1.730021</td>\n","      <td>5.457191</td>\n","    </tr>\n","    <tr>\n","      <th>min</th>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>-15.000000</td>\n","    </tr>\n","    <tr>\n","      <th>25%</th>\n","      <td>565.000000</td>\n","      <td>1.600000</td>\n","      <td>0.400000</td>\n","      <td>4.500000</td>\n","      <td>1.000000</td>\n","      <td>0.500000</td>\n","      <td>2.550000</td>\n","      <td>0.100000</td>\n","      <td>0.040000</td>\n","      <td>11.000000</td>\n","    </tr>\n","    <tr>\n","      <th>50%</th>\n","      <td>1130.000000</td>\n","      <td>7.300000</td>\n","      <td>1.900000</td>\n","      <td>27.235330</td>\n","      <td>8.000000</td>\n","      <td>1.900000</td>\n","      <td>8.000000</td>\n","      <td>0.900000</td>\n","      <td>0.360000</td>\n","      <td>11.000000</td>\n","    </tr>\n","    <tr>\n","      <th>75%</th>\n","      <td>1590.000000</td>\n","      <td>19.300000</td>\n","      <td>6.300000</td>\n","      <td>46.000000</td>\n","      <td>13.938277</td>\n","      <td>4.000000</td>\n","      <td>10.000000</td>\n","      <td>1.279682</td>\n","      <td>0.512449</td>\n","      <td>11.000000</td>\n","    </tr>\n","    <tr>\n","      <th>max</th>\n","      <td>3768.000000</td>\n","      <td>100.000000</td>\n","      <td>100.000000</td>\n","      <td>100.000000</td>\n","      <td>100.000000</td>\n","      <td>100.000000</td>\n","      <td>100.000000</td>\n","      <td>100.000000</td>\n","      <td>78.740000</td>\n","      <td>40.000000</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["         energy_100g       fat_100g  saturated-fat_100g  carbohydrates_100g  \\\n","count  641042.000000  641042.000000       641042.000000       641042.000000   \n","mean     1142.874362      12.979886            4.839392           27.362176   \n","std       719.620145      15.947784            7.337006           25.145915   \n","min         0.000000       0.000000            0.000000            0.000000   \n","25%       565.000000       1.600000            0.400000            4.500000   \n","50%      1130.000000       7.300000            1.900000           27.235330   \n","75%      1590.000000      19.300000            6.300000           46.000000   \n","max      3768.000000     100.000000          100.000000          100.000000   \n","\n","         sugars_100g     fiber_100g  proteins_100g      salt_100g  \\\n","count  641042.000000  641042.000000  641042.000000  641042.000000   \n","mean       13.968521       3.351229       8.708830       1.279682   \n","std        18.253929       5.370146       8.883943       4.305194   \n","min         0.000000       0.000000       0.000000       0.000000   \n","25%         1.000000       0.500000       2.550000       0.100000   \n","50%         8.000000       1.900000       8.000000       0.900000   \n","75%        13.938277       4.000000      10.000000       1.279682   \n","max       100.000000     100.000000     100.000000     100.000000   \n","\n","         sodium_100g  nutrition-score-fr_100g  \n","count  641042.000000            641042.000000  \n","mean        0.512449                10.450070  \n","std         1.730021                 5.457191  \n","min         0.000000               -15.000000  \n","25%         0.040000                11.000000  \n","50%         0.360000                11.000000  \n","75%         0.512449                11.000000  \n","max        78.740000                40.000000  "]},"execution_count":75,"metadata":{},"output_type":"execute_result"}],"source":["#regardons les données obtenues à la fin \n","data_food_cleaned.describe()"]},{"cell_type":"code","execution_count":76,"id":"acb7e7dc","metadata":{"execution":{"iopub.execute_input":"2023-11-15T14:29:32.347871Z","iopub.status.busy":"2023-11-15T14:29:32.346561Z","iopub.status.idle":"2023-11-15T14:29:38.074563Z","shell.execute_reply":"2023-11-15T14:29:38.073213Z"},"papermill":{"duration":5.846957,"end_time":"2023-11-15T14:29:38.078149","exception":false,"start_time":"2023-11-15T14:29:32.231192","status":"completed"},"tags":[]},"outputs":[],"source":["data_food_cleaned.to_csv('data_food_cleaned.csv', sep='\\t', index=False)"]},{"cell_type":"markdown","id":"29e49f3d","metadata":{"papermill":{"duration":0.028605,"end_time":"2023-11-15T14:29:38.136538","exception":false,"start_time":"2023-11-15T14:29:38.107933","status":"completed"},"tags":[]},"source":["**Merci Beaucoup**"]}],"metadata":{"kaggle":{"accelerator":"none","dataSources":[{"datasetId":513599,"sourceId":946962,"sourceType":"datasetVersion"}],"dockerImageVersionId":30558,"isGpuEnabled":false,"isInternetEnabled":true,"language":"python","sourceType":"notebook"},"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.10.12"},"papermill":{"default_parameters":{},"duration":2530.541347,"end_time":"2023-11-15T14:29:40.501726","environment_variables":{},"exception":null,"input_path":"__notebook__.ipynb","output_path":"__notebook__.ipynb","parameters":{},"start_time":"2023-11-15T13:47:29.960379","version":"2.4.0"}},"nbformat":4,"nbformat_minor":5}