diff --git a/TP_access_merge_data.ipynb b/TP_access_merge_data.ipynb
deleted file mode 100644
index c8adbd5..0000000
--- a/TP_access_merge_data.ipynb
+++ /dev/null
@@ -1,1215 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "id": "5ce2ffc5-66b6-4709-9e2c-7a50f49d1361",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# test\n",
-    "\n",
-    "import os \n",
-    "import s3fs\n",
-    "import pandas as pd\n",
-    "import re"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 35,
-   "id": "f579ff01-f009-4fb1-ba79-0cb3ce58ab7f",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "['bdc2324-data/1',\n",
-       " 'bdc2324-data/10',\n",
-       " 'bdc2324-data/101',\n",
-       " 'bdc2324-data/11',\n",
-       " 'bdc2324-data/12',\n",
-       " 'bdc2324-data/13',\n",
-       " 'bdc2324-data/14',\n",
-       " 'bdc2324-data/2',\n",
-       " 'bdc2324-data/3',\n",
-       " 'bdc2324-data/4',\n",
-       " 'bdc2324-data/5',\n",
-       " 'bdc2324-data/6',\n",
-       " 'bdc2324-data/7',\n",
-       " 'bdc2324-data/8',\n",
-       " 'bdc2324-data/9']"
-      ]
-     },
-     "execution_count": 35,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "S3_ENDPOINT_URL = \"https://\" + os.environ[\"AWS_S3_ENDPOINT\"]\n",
-    "\n",
-    "fs = s3fs.S3FileSystem(client_kwargs = {\"endpoint_url\" : S3_ENDPOINT_URL})\n",
-    "BUCKET = \"bdc2324-data\"\n",
-    "fs.ls(BUCKET)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 27,
-   "id": "c8b2c797-271f-43ee-8823-d0aee5b8782d",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "FILE_PATH_S3 = fs.ls(BUCKET)[1] # +\".csv\"\n",
-    "files_path_2 =  fs.ls(FILE_PATH_S3)\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "id": "18cee687-1462-4169-9bfe-f39786135cdd",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "with fs.open(files_path_1[1], mode=\"rb\") as file_in:\n",
-    "    # print(file_in)\n",
-    "    df_campaigns = pd.read_csv(file_in)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "id": "33e8d14c-c649-4b9c-8290-4a2aa635f999",
-   "metadata": {},
-   "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>id</th>\n",
-       "      <th>name</th>\n",
-       "      <th>service_id</th>\n",
-       "      <th>created_at</th>\n",
-       "      <th>updated_at</th>\n",
-       "      <th>process_id</th>\n",
-       "      <th>report_url</th>\n",
-       "      <th>category</th>\n",
-       "      <th>to_be_synced</th>\n",
-       "      <th>identifier</th>\n",
-       "      <th>sent_at</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>1319613</td>\n",
-       "      <td>newsletter enseignants janvier 2022</td>\n",
-       "      <td>721</td>\n",
-       "      <td>2022-01-14 16:06:42.586321+01:00</td>\n",
-       "      <td>2022-02-03 14:17:27.112963+01:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>aba3b6fd5d186d28e06ff97135cade7f</td>\n",
-       "      <td>2022-01-14 00:00:00+01:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>1319586</td>\n",
-       "      <td>lsf_janvier_2022</td>\n",
-       "      <td>717</td>\n",
-       "      <td>2022-01-07 11:30:35.315895+01:00</td>\n",
-       "      <td>2022-02-03 14:17:27.116171+01:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>788d986905533aba051261497ecffcbb</td>\n",
-       "      <td>2022-01-07 00:00:00+01:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>1319282</td>\n",
-       "      <td>Invitation à déjeuner au Mucem | Vernissage « ...</td>\n",
-       "      <td>591</td>\n",
-       "      <td>2021-09-28 12:50:24.448752+02:00</td>\n",
-       "      <td>2022-02-03 14:17:27.119582+01:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>3493894fa4ea036cfc6433c3e2ee63b0</td>\n",
-       "      <td>2021-09-28 00:00:00+02:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>1319283</td>\n",
-       "      <td>Vacances de la Toussaint - centres des loisirs</td>\n",
-       "      <td>590</td>\n",
-       "      <td>2021-09-28 18:01:04.692073+02:00</td>\n",
-       "      <td>2022-02-03 14:17:27.124408+01:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>08b255a5d42b89b0585260b6f2360bdd</td>\n",
-       "      <td>2021-09-28 00:00:00+02:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>1319636</td>\n",
-       "      <td>ddcp_promo_md_livemag</td>\n",
-       "      <td>730</td>\n",
-       "      <td>2022-01-27 18:00:41.053069+01:00</td>\n",
-       "      <td>2022-02-03 14:17:27.127607+01:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>d5cfead94f5350c12c322b5b664544c1</td>\n",
-       "      <td>2022-01-27 00:00:00+01:00</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",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>952</th>\n",
-       "      <td>1320072</td>\n",
-       "      <td>dre_gaza0106</td>\n",
-       "      <td>881</td>\n",
-       "      <td>2022-05-26 09:01:35.523639+02:00</td>\n",
-       "      <td>2022-12-02 17:51:22.614046+01:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>7504adad8bb96320eb3afdd4df6e1f60</td>\n",
-       "      <td>2022-05-26 00:00:00+02:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>953</th>\n",
-       "      <td>661398</td>\n",
-       "      <td>DDCP Plan Bis 4 - Marketing direct - MJ5C</td>\n",
-       "      <td>183</td>\n",
-       "      <td>2021-06-18 10:30:01.259578+02:00</td>\n",
-       "      <td>2021-09-24 11:56:09.082785+02:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>cedebb6e872f539bef8c3f919874e9d7</td>\n",
-       "      <td>2020-07-27 00:00:00+02:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>954</th>\n",
-       "      <td>1320487</td>\n",
-       "      <td>Invitation portes ouvertes amitiés</td>\n",
-       "      <td>988</td>\n",
-       "      <td>2022-09-29 18:01:33.834090+02:00</td>\n",
-       "      <td>2022-12-02 17:51:23.258324+01:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>9908279ebbf1f9b250ba689db6a0222b</td>\n",
-       "      <td>2022-09-29 00:00:00+02:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>955</th>\n",
-       "      <td>906903</td>\n",
-       "      <td>DDCP PROMO La méditerranée des philosophes #3 ...</td>\n",
-       "      <td>310</td>\n",
-       "      <td>2021-07-19 14:07:16.177390+02:00</td>\n",
-       "      <td>2021-09-24 11:56:09.086101+02:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>06eb61b839a0cefee4967c67ccb099dc</td>\n",
-       "      <td>2020-12-23 00:00:00+01:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>956</th>\n",
-       "      <td>579313</td>\n",
-       "      <td>ddcp_promo_automation_manuel_pre_visit</td>\n",
-       "      <td>481</td>\n",
-       "      <td>2021-06-08 17:38:54.041310+02:00</td>\n",
-       "      <td>2021-09-24 11:56:09.089394+02:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>9461cce28ebe3e76fb4b931c35a169b0</td>\n",
-       "      <td>2021-06-08 00:00:00+02:00</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>957 rows × 11 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "          id                                               name  service_id  \\\n",
-       "0    1319613                newsletter enseignants janvier 2022         721   \n",
-       "1    1319586                                   lsf_janvier_2022         717   \n",
-       "2    1319282  Invitation à déjeuner au Mucem | Vernissage « ...         591   \n",
-       "3    1319283     Vacances de la Toussaint - centres des loisirs         590   \n",
-       "4    1319636                              ddcp_promo_md_livemag         730   \n",
-       "..       ...                                                ...         ...   \n",
-       "952  1320072                                       dre_gaza0106         881   \n",
-       "953   661398          DDCP Plan Bis 4 - Marketing direct - MJ5C         183   \n",
-       "954  1320487                 Invitation portes ouvertes amitiés         988   \n",
-       "955   906903  DDCP PROMO La méditerranée des philosophes #3 ...         310   \n",
-       "956   579313             ddcp_promo_automation_manuel_pre_visit         481   \n",
-       "\n",
-       "                           created_at                        updated_at  \\\n",
-       "0    2022-01-14 16:06:42.586321+01:00  2022-02-03 14:17:27.112963+01:00   \n",
-       "1    2022-01-07 11:30:35.315895+01:00  2022-02-03 14:17:27.116171+01:00   \n",
-       "2    2021-09-28 12:50:24.448752+02:00  2022-02-03 14:17:27.119582+01:00   \n",
-       "3    2021-09-28 18:01:04.692073+02:00  2022-02-03 14:17:27.124408+01:00   \n",
-       "4    2022-01-27 18:00:41.053069+01:00  2022-02-03 14:17:27.127607+01:00   \n",
-       "..                                ...                               ...   \n",
-       "952  2022-05-26 09:01:35.523639+02:00  2022-12-02 17:51:22.614046+01:00   \n",
-       "953  2021-06-18 10:30:01.259578+02:00  2021-09-24 11:56:09.082785+02:00   \n",
-       "954  2022-09-29 18:01:33.834090+02:00  2022-12-02 17:51:23.258324+01:00   \n",
-       "955  2021-07-19 14:07:16.177390+02:00  2021-09-24 11:56:09.086101+02:00   \n",
-       "956  2021-06-08 17:38:54.041310+02:00  2021-09-24 11:56:09.089394+02:00   \n",
-       "\n",
-       "     process_id  report_url  category  to_be_synced  \\\n",
-       "0           NaN         NaN       0.0         False   \n",
-       "1           NaN         NaN       0.0         False   \n",
-       "2           NaN         NaN       0.0         False   \n",
-       "3           NaN         NaN       0.0         False   \n",
-       "4           NaN         NaN       0.0         False   \n",
-       "..          ...         ...       ...           ...   \n",
-       "952         NaN         NaN       0.0         False   \n",
-       "953         NaN         NaN       0.0         False   \n",
-       "954         NaN         NaN       0.0         False   \n",
-       "955         NaN         NaN       0.0         False   \n",
-       "956         NaN         NaN       0.0         False   \n",
-       "\n",
-       "                           identifier                    sent_at  \n",
-       "0    aba3b6fd5d186d28e06ff97135cade7f  2022-01-14 00:00:00+01:00  \n",
-       "1    788d986905533aba051261497ecffcbb  2022-01-07 00:00:00+01:00  \n",
-       "2    3493894fa4ea036cfc6433c3e2ee63b0  2021-09-28 00:00:00+02:00  \n",
-       "3    08b255a5d42b89b0585260b6f2360bdd  2021-09-28 00:00:00+02:00  \n",
-       "4    d5cfead94f5350c12c322b5b664544c1  2022-01-27 00:00:00+01:00  \n",
-       "..                                ...                        ...  \n",
-       "952  7504adad8bb96320eb3afdd4df6e1f60  2022-05-26 00:00:00+02:00  \n",
-       "953  cedebb6e872f539bef8c3f919874e9d7  2020-07-27 00:00:00+02:00  \n",
-       "954  9908279ebbf1f9b250ba689db6a0222b  2022-09-29 00:00:00+02:00  \n",
-       "955  06eb61b839a0cefee4967c67ccb099dc  2020-12-23 00:00:00+01:00  \n",
-       "956  9461cce28ebe3e76fb4b931c35a169b0  2021-06-08 00:00:00+02:00  \n",
-       "\n",
-       "[957 rows x 11 columns]"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df_campaigns"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 39,
-   "id": "b04f39e7-7d53-4734-b125-4dc1843172d6",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "['bdc2324-data', '10', '10campaign_stats.csv']"
-      ]
-     },
-     "execution_count": 39,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "files_path_2[0].split(\"/\")[1]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 74,
-   "id": "d9bd97df-67bf-48ef-812a-975deb890163",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/tmp/ipykernel_521/1596461036.py:11: DtypeWarning: Columns (19,20,33,34,35,39) have mixed types. Specify dtype option on import or set low_memory=False.\n",
-      "  df = pd.read_csv(file_in)\n"
-     ]
-    }
-   ],
-   "source": [
-    "# loop to create dataframes from file 2\n",
-    "\n",
-    "files_path = files_path_2\n",
-    "\n",
-    "client_number = files_path[0].split(\"/\")[1]\n",
-    "df_prefix = \"df\" + str(client_number) + \"_\"\n",
-    "\n",
-    "for i in range(len(files_path)) :\n",
-    "    current_path = files_path[i]\n",
-    "    with fs.open(current_path, mode=\"rb\") as file_in:\n",
-    "        df = pd.read_csv(file_in)\n",
-    "        # the pattern of the name is df1xxx\n",
-    "        nom_dataframe = df_prefix + re.search(r'\\/(\\d+)\\/(\\d+)([a-zA-Z_]+)\\.csv$', current_path).group(3)\n",
-    "        globals()[nom_dataframe] = df"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 78,
-   "id": "7f46e38e-413c-48cb-a171-eb6bc7219d9c",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "client number :10\n",
-      "prefix used : df10_\n"
-     ]
-    }
-   ],
-   "source": [
-    "print(f\"client number :{client_number}\")\n",
-    "print(f\"prefix used : {df_prefix}\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 79,
-   "id": "bdfd388c-7971-4f4d-99ef-c5b0435a4567",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "['bdc2324-data/10/10campaign_stats.csv',\n",
-       " 'bdc2324-data/10/10campaigns.csv',\n",
-       " 'bdc2324-data/10/10categories.csv',\n",
-       " 'bdc2324-data/10/10countries.csv',\n",
-       " 'bdc2324-data/10/10currencies.csv',\n",
-       " 'bdc2324-data/10/10customer_target_mappings.csv',\n",
-       " 'bdc2324-data/10/10customersplus.csv',\n",
-       " 'bdc2324-data/10/10event_types.csv',\n",
-       " 'bdc2324-data/10/10events.csv',\n",
-       " 'bdc2324-data/10/10facilities.csv',\n",
-       " 'bdc2324-data/10/10link_stats.csv',\n",
-       " 'bdc2324-data/10/10pricing_formulas.csv',\n",
-       " 'bdc2324-data/10/10product_packs.csv',\n",
-       " 'bdc2324-data/10/10products.csv',\n",
-       " 'bdc2324-data/10/10products_groups.csv',\n",
-       " 'bdc2324-data/10/10purchases.csv',\n",
-       " 'bdc2324-data/10/10representation_category_capacities.csv',\n",
-       " 'bdc2324-data/10/10representation_types.csv',\n",
-       " 'bdc2324-data/10/10representations.csv',\n",
-       " 'bdc2324-data/10/10seasons.csv',\n",
-       " 'bdc2324-data/10/10suppliers.csv',\n",
-       " 'bdc2324-data/10/10tags.csv',\n",
-       " 'bdc2324-data/10/10target_types.csv',\n",
-       " 'bdc2324-data/10/10targets.csv',\n",
-       " 'bdc2324-data/10/10tickets.csv',\n",
-       " 'bdc2324-data/10/10type_of_pricing_formulas.csv',\n",
-       " 'bdc2324-data/10/10type_ofs.csv']"
-      ]
-     },
-     "execution_count": 79,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "files_path_2"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 80,
-   "id": "e7bd02dc-1925-46ff-9d59-231d18f9f4f1",
-   "metadata": {},
-   "outputs": [
-    {
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-       "      <th>created_at</th>\n",
-       "      <th>updated_at</th>\n",
-       "      <th>purchase_id</th>\n",
-       "      <th>product_id</th>\n",
-       "      <th>is_from_subscription</th>\n",
-       "      <th>type_of</th>\n",
-       "      <th>supplier_id</th>\n",
-       "      <th>barcode</th>\n",
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-       "      <td>71_0_0_0_1_k-5</td>\n",
-       "      <td>2021-12-29 07:27:27.976380+01:00</td>\n",
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-       "      <td>2021-12-29 07:27:27.978719+01:00</td>\n",
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-       "      <td>103_0_0_0_1_k-5</td>\n",
-       "      <td>2021-12-29 07:27:27.984621+01:00</td>\n",
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-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>1799181</td>\n",
-       "      <td>107_0_3_2_1_h-1</td>\n",
-       "      <td>2021-12-29 07:27:27.988602+01:00</td>\n",
-       "      <td>2021-12-29 07:27:27.988602+01:00</td>\n",
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-       "      <td>336359</td>\n",
-       "      <td>2023-03-10 01:31:52.543375+01:00</td>\n",
-       "      <td>2023-03-10 01:31:52.543375+01:00</td>\n",
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-       "      <td>336360</td>\n",
-       "      <td>2023-03-10 01:31:52.543869+01:00</td>\n",
-       "      <td>2023-03-10 01:31:52.543869+01:00</td>\n",
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-       "      <td>2023-03-10 01:31:52.545783+01:00</td>\n",
-       "      <td>2023-03-10 01:31:52.545783+01:00</td>\n",
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-       "      <td>336362</td>\n",
-       "      <td>2023-03-10 01:31:52.547043+01:00</td>\n",
-       "      <td>2023-03-10 01:31:52.547043+01:00</td>\n",
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-       "      <td>NaN</td>\n",
-       "      <td>093225db5cd5e06cc8e06242b4cbba37</td>\n",
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-       "      <th>492313</th>\n",
-       "      <td>3252236</td>\n",
-       "      <td>336363</td>\n",
-       "      <td>2023-03-10 01:31:52.548311+01:00</td>\n",
-       "      <td>2023-03-10 01:31:52.548311+01:00</td>\n",
-       "      <td>710062</td>\n",
-       "      <td>572547</td>\n",
-       "      <td>False</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>9bace0d0cd7a5ec559aca8ac8bf67700</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>492314 rows × 11 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "             id           number                        created_at  \\\n",
-       "0       1799177   60_0_0_0_1_k-5  2021-12-29 07:27:27.868513+01:00   \n",
-       "1       1799178   71_0_0_0_1_k-5  2021-12-29 07:27:27.976380+01:00   \n",
-       "2       1799179   93_0_0_0_1_k-5  2021-12-29 07:27:27.978719+01:00   \n",
-       "3       1799180  103_0_0_0_1_k-5  2021-12-29 07:27:27.984621+01:00   \n",
-       "4       1799181  107_0_3_2_1_h-1  2021-12-29 07:27:27.988602+01:00   \n",
-       "...         ...              ...                               ...   \n",
-       "492309  3252232           336359  2023-03-10 01:31:52.543375+01:00   \n",
-       "492310  3252233           336360  2023-03-10 01:31:52.543869+01:00   \n",
-       "492311  3252234           336361  2023-03-10 01:31:52.545783+01:00   \n",
-       "492312  3252235           336362  2023-03-10 01:31:52.547043+01:00   \n",
-       "492313  3252236           336363  2023-03-10 01:31:52.548311+01:00   \n",
-       "\n",
-       "                              updated_at  purchase_id  product_id  \\\n",
-       "0       2021-12-29 07:27:27.868513+01:00       409613      321683   \n",
-       "1       2021-12-29 07:27:27.976380+01:00       409613      321684   \n",
-       "2       2021-12-29 07:27:27.978719+01:00       409613      321685   \n",
-       "3       2021-12-29 07:27:27.984621+01:00       409613      321686   \n",
-       "4       2021-12-29 07:27:27.988602+01:00       409613      321687   \n",
-       "...                                  ...          ...         ...   \n",
-       "492309  2023-03-10 01:31:52.543375+01:00       710062      572547   \n",
-       "492310  2023-03-10 01:31:52.543869+01:00       710062      572547   \n",
-       "492311  2023-03-10 01:31:52.545783+01:00       710062      572547   \n",
-       "492312  2023-03-10 01:31:52.547043+01:00       710062      572547   \n",
-       "492313  2023-03-10 01:31:52.548311+01:00       710062      572547   \n",
-       "\n",
-       "        is_from_subscription  type_of  supplier_id  barcode  \\\n",
-       "0                      False        1            2      NaN   \n",
-       "1                      False        1            2      NaN   \n",
-       "2                      False        1            2      NaN   \n",
-       "3                      False        1            2      NaN   \n",
-       "4                      False        1            2      NaN   \n",
-       "...                      ...      ...          ...      ...   \n",
-       "492309                 False        1            2      NaN   \n",
-       "492310                 False        1            2      NaN   \n",
-       "492311                 False        1            2      NaN   \n",
-       "492312                 False        1            2      NaN   \n",
-       "492313                 False        1            2      NaN   \n",
-       "\n",
-       "                              identifier  \n",
-       "0       56c3db5a02c87af7e525676092cb7c4a  \n",
-       "1       1ecad1dc6b42b4cdb75784dd9dcd9d5c  \n",
-       "2       b3d207bdb47bcdb27a52f6bae0db7ec2  \n",
-       "3       10df9591b617cc177516e9ddf91ddae3  \n",
-       "4       3a8c7d5882fe9f20f0f59c8d90c9873c  \n",
-       "...                                  ...  \n",
-       "492309  fc96f582931209501ed186d709664980  \n",
-       "492310  d4ccfb00a9b22b62654bbf98b4d9a5a5  \n",
-       "492311  d5f76662d6571b8eaceaf19c781fa514  \n",
-       "492312  093225db5cd5e06cc8e06242b4cbba37  \n",
-       "492313  9bace0d0cd7a5ec559aca8ac8bf67700  \n",
-       "\n",
-       "[492314 rows x 11 columns]"
-      ]
-     },
-     "execution_count": 80,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# example : get the table \n",
-    "\n",
-    "df10_tickets"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "id": "48ae6de5-2353-4fa8-a2a8-20da3b77e2ff",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'\\nfor i in range(len(files_path_1)) :\\n    current_path = files_path_1[i]\\n    nom_dataframe = \"df\" + re.search(r\\'/([^/]+)\\\\.csv$\\', current_path).group(1)\\n    df = globals()[nom_dataframe]\\n    print(nom_dataframe)\\n    print(df.head(20))\\n'"
-      ]
-     },
-     "execution_count": 21,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# loop to have a look at dataframes from file 1\n",
-    "\n",
-    "\"\"\"\n",
-    "for i in range(len(files_path_1)) :\n",
-    "    current_path = files_path_1[i]\n",
-    "    nom_dataframe = \"df\" + re.search(r'/([^/]+)\\.csv$', current_path).group(1)\n",
-    "    df = globals()[nom_dataframe]\n",
-    "    print(nom_dataframe)\n",
-    "    print(df.head(20))\n",
-    "\"\"\""
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "d72166db-dcef-45bd-9f8c-7cb2ee6bcbde",
-   "metadata": {},
-   "source": [
-    "## Beginning of the exploratory analysis of dataframes"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 82,
-   "id": "17966ab2-9038-4dd6-a59c-7739ee05c964",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
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-       "\n",
-       "    .dataframe tbody tr th {\n",
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-       "    }\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>id</th>\n",
-       "      <th>lastname</th>\n",
-       "      <th>firstname</th>\n",
-       "      <th>birthdate</th>\n",
-       "      <th>email</th>\n",
-       "      <th>street_id</th>\n",
-       "      <th>created_at</th>\n",
-       "      <th>updated_at</th>\n",
-       "      <th>civility</th>\n",
-       "      <th>is_partner</th>\n",
-       "      <th>...</th>\n",
-       "      <th>preferred_category</th>\n",
-       "      <th>preferred_supplier</th>\n",
-       "      <th>preferred_formula</th>\n",
-       "      <th>purchase_count</th>\n",
-       "      <th>first_buying_date</th>\n",
-       "      <th>last_visiting_date</th>\n",
-       "      <th>zipcode</th>\n",
-       "      <th>country</th>\n",
-       "      <th>age</th>\n",
-       "      <th>tenant_id</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
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-       "      <td>139</td>\n",
-       "      <td>2023-07-14 11:43:34.261637+02:00</td>\n",
-       "      <td>2023-07-14 11:43:34.261637+02:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>False</td>\n",
-       "      <td>...</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>875</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>809126</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>email809126</td>\n",
-       "      <td>1063</td>\n",
-       "      <td>2023-05-04 17:17:24.456829+02:00</td>\n",
-       "      <td>2023-05-04 17:17:24.456829+02:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>False</td>\n",
-       "      <td>...</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>fr</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>875</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>11005</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>1063</td>\n",
-       "      <td>2017-07-06 03:01:57.242998+02:00</td>\n",
-       "      <td>2018-11-12 18:01:18.283492+01:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>False</td>\n",
-       "      <td>...</td>\n",
-       "      <td>zone tarif 1</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>invite rp</td>\n",
-       "      <td>14</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>fr</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>875</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>17663</td>\n",
-       "      <td>lastname17663</td>\n",
-       "      <td>firstname17663</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>12731</td>\n",
-       "      <td>2018-09-23 02:39:17.778100+02:00</td>\n",
-       "      <td>2018-09-23 02:39:17.778100+02:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>False</td>\n",
-       "      <td>...</td>\n",
-       "      <td>zone tarif 1</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>detaxe</td>\n",
-       "      <td>1</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>44220</td>\n",
-       "      <td>fr</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>875</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>38100</td>\n",
-       "      <td>lastname38100</td>\n",
-       "      <td>firstname38100</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>12395</td>\n",
-       "      <td>2019-02-11 11:05:58.581121+01:00</td>\n",
-       "      <td>2022-12-06 23:15:33.485866+01:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>False</td>\n",
-       "      <td>...</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>1</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>44100</td>\n",
-       "      <td>fr</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>875</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>98789</th>\n",
-       "      <td>766266</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>email766266</td>\n",
-       "      <td>139</td>\n",
-       "      <td>2022-12-06 18:26:04.142337+01:00</td>\n",
-       "      <td>2023-05-03 18:01:01.799141+02:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>False</td>\n",
-       "      <td>...</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>875</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>98790</th>\n",
-       "      <td>766336</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>email766336</td>\n",
-       "      <td>139</td>\n",
-       "      <td>2022-12-06 18:28:49.139502+01:00</td>\n",
-       "      <td>2022-12-06 23:15:33.485866+01:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>False</td>\n",
-       "      <td>...</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>875</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>98791</th>\n",
-       "      <td>766348</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>email766348</td>\n",
-       "      <td>139</td>\n",
-       "      <td>2022-12-06 18:28:51.140745+01:00</td>\n",
-       "      <td>2022-12-06 23:15:33.485866+01:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>False</td>\n",
-       "      <td>...</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>875</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>98792</th>\n",
-       "      <td>766363</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>email766363</td>\n",
-       "      <td>139</td>\n",
-       "      <td>2022-12-06 18:29:44.081056+01:00</td>\n",
-       "      <td>2022-12-06 23:15:33.485866+01:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>False</td>\n",
-       "      <td>...</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>875</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>98793</th>\n",
-       "      <td>766366</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>email766366</td>\n",
-       "      <td>139</td>\n",
-       "      <td>2022-12-06 18:29:44.934174+01:00</td>\n",
-       "      <td>2022-12-06 23:15:33.485866+01:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>False</td>\n",
-       "      <td>...</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>875</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>98794 rows × 43 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "           id       lastname       firstname birthdate        email  \\\n",
-       "0      821538            NaN             NaN       NaN  email821538   \n",
-       "1      809126            NaN             NaN       NaN  email809126   \n",
-       "2       11005            NaN             NaN       NaN          NaN   \n",
-       "3       17663  lastname17663  firstname17663       NaN          NaN   \n",
-       "4       38100  lastname38100  firstname38100       NaN          NaN   \n",
-       "...       ...            ...             ...       ...          ...   \n",
-       "98789  766266            NaN             NaN       NaN  email766266   \n",
-       "98790  766336            NaN             NaN       NaN  email766336   \n",
-       "98791  766348            NaN             NaN       NaN  email766348   \n",
-       "98792  766363            NaN             NaN       NaN  email766363   \n",
-       "98793  766366            NaN             NaN       NaN  email766366   \n",
-       "\n",
-       "       street_id                        created_at  \\\n",
-       "0            139  2023-07-14 11:43:34.261637+02:00   \n",
-       "1           1063  2023-05-04 17:17:24.456829+02:00   \n",
-       "2           1063  2017-07-06 03:01:57.242998+02:00   \n",
-       "3          12731  2018-09-23 02:39:17.778100+02:00   \n",
-       "4          12395  2019-02-11 11:05:58.581121+01:00   \n",
-       "...          ...                               ...   \n",
-       "98789        139  2022-12-06 18:26:04.142337+01:00   \n",
-       "98790        139  2022-12-06 18:28:49.139502+01:00   \n",
-       "98791        139  2022-12-06 18:28:51.140745+01:00   \n",
-       "98792        139  2022-12-06 18:29:44.081056+01:00   \n",
-       "98793        139  2022-12-06 18:29:44.934174+01:00   \n",
-       "\n",
-       "                             updated_at  civility  is_partner  ...  \\\n",
-       "0      2023-07-14 11:43:34.261637+02:00       NaN       False  ...   \n",
-       "1      2023-05-04 17:17:24.456829+02:00       NaN       False  ...   \n",
-       "2      2018-11-12 18:01:18.283492+01:00       NaN       False  ...   \n",
-       "3      2018-09-23 02:39:17.778100+02:00       NaN       False  ...   \n",
-       "4      2022-12-06 23:15:33.485866+01:00       NaN       False  ...   \n",
-       "...                                 ...       ...         ...  ...   \n",
-       "98789  2023-05-03 18:01:01.799141+02:00       NaN       False  ...   \n",
-       "98790  2022-12-06 23:15:33.485866+01:00       NaN       False  ...   \n",
-       "98791  2022-12-06 23:15:33.485866+01:00       NaN       False  ...   \n",
-       "98792  2022-12-06 23:15:33.485866+01:00       NaN       False  ...   \n",
-       "98793  2022-12-06 23:15:33.485866+01:00       NaN       False  ...   \n",
-       "\n",
-       "       preferred_category  preferred_supplier  preferred_formula  \\\n",
-       "0                     NaN                 NaN                NaN   \n",
-       "1                     NaN                 NaN                NaN   \n",
-       "2            zone tarif 1                 NaN          invite rp   \n",
-       "3            zone tarif 1                 NaN             detaxe   \n",
-       "4                     NaN                 NaN                NaN   \n",
-       "...                   ...                 ...                ...   \n",
-       "98789                 NaN                 NaN                NaN   \n",
-       "98790                 NaN                 NaN                NaN   \n",
-       "98791                 NaN                 NaN                NaN   \n",
-       "98792                 NaN                 NaN                NaN   \n",
-       "98793                 NaN                 NaN                NaN   \n",
-       "\n",
-       "       purchase_count  first_buying_date  last_visiting_date zipcode  country  \\\n",
-       "0                   0                NaN                 NaN     NaN      NaN   \n",
-       "1                   0                NaN                 NaN     NaN       fr   \n",
-       "2                  14                NaN                 NaN     NaN       fr   \n",
-       "3                   1                NaN                 NaN   44220       fr   \n",
-       "4                   1                NaN                 NaN   44100       fr   \n",
-       "...               ...                ...                 ...     ...      ...   \n",
-       "98789               0                NaN                 NaN     NaN      NaN   \n",
-       "98790               0                NaN                 NaN     NaN      NaN   \n",
-       "98791               0                NaN                 NaN     NaN      NaN   \n",
-       "98792               0                NaN                 NaN     NaN      NaN   \n",
-       "98793               0                NaN                 NaN     NaN      NaN   \n",
-       "\n",
-       "       age tenant_id  \n",
-       "0      NaN       875  \n",
-       "1      NaN       875  \n",
-       "2      NaN       875  \n",
-       "3      NaN       875  \n",
-       "4      NaN       875  \n",
-       "...    ...       ...  \n",
-       "98789  NaN       875  \n",
-       "98790  NaN       875  \n",
-       "98791  NaN       875  \n",
-       "98792  NaN       875  \n",
-       "98793  NaN       875  \n",
-       "\n",
-       "[98794 rows x 43 columns]"
-      ]
-     },
-     "execution_count": 82,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df10_0customersplus"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "932812b1-7a24-4f2d-ae48-7fe8e06b9f62",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# how many missing values ?\n",
-    "\n"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "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": "3.10.13"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/TP_exploratory_analysis-Copy1.ipynb b/TP_exploratory_analysis-Copy1.ipynb
deleted file mode 100644
index 021b463..0000000
--- a/TP_exploratory_analysis-Copy1.ipynb
+++ /dev/null
@@ -1,7990 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "6c0589ab-924f-4706-bef7-65500f0c4dd5",
-   "metadata": {},
-   "source": [
-    "# Exploratory study of variables : targets, campaign and link stats"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "83319f84-427f-43aa-af26-06797244e89c",
-   "metadata": {
-    "jp-MarkdownHeadingCollapsed": true
-   },
-   "source": [
-    "## First steps : package importations, set up working environment and import data"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 253,
-   "id": "a26f3f09-3961-43fe-b4d9-1abe3b906a2c",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# importations\n",
-    "\n",
-    "import os \n",
-    "import s3fs\n",
-    "import pandas as pd\n",
-    "import re\n",
-    "from datetime import datetime, timezone, timedelta\n",
-    "import math\n",
-    "import numpy as np"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 188,
-   "id": "78478dbf-bd91-45e0-9f2b-2d9e6b0f648c",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "['bdc2324-data/1',\n",
-       " 'bdc2324-data/10',\n",
-       " 'bdc2324-data/101',\n",
-       " 'bdc2324-data/11',\n",
-       " 'bdc2324-data/12',\n",
-       " 'bdc2324-data/13',\n",
-       " 'bdc2324-data/14',\n",
-       " 'bdc2324-data/2',\n",
-       " 'bdc2324-data/3',\n",
-       " 'bdc2324-data/4',\n",
-       " 'bdc2324-data/5',\n",
-       " 'bdc2324-data/6',\n",
-       " 'bdc2324-data/7',\n",
-       " 'bdc2324-data/8',\n",
-       " 'bdc2324-data/9']"
-      ]
-     },
-     "execution_count": 188,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# bucket for accessing the data\n",
-    "\n",
-    "S3_ENDPOINT_URL = \"https://\" + os.environ[\"AWS_S3_ENDPOINT\"]\n",
-    "\n",
-    "fs = s3fs.S3FileSystem(client_kwargs = {\"endpoint_url\" : S3_ENDPOINT_URL})\n",
-    "BUCKET = \"bdc2324-data\"\n",
-    "fs.ls(BUCKET)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "id": "a7e1b277-4381-45c0-b1ec-4050af54a3b6",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "['bdc2324-data/1/1campaign_stats.csv',\n",
-       " 'bdc2324-data/1/1campaigns.csv',\n",
-       " 'bdc2324-data/1/1categories.csv',\n",
-       " 'bdc2324-data/1/1countries.csv',\n",
-       " 'bdc2324-data/1/1currencies.csv',\n",
-       " 'bdc2324-data/1/1customer_target_mappings.csv',\n",
-       " 'bdc2324-data/1/1customersplus.csv',\n",
-       " 'bdc2324-data/1/1event_types.csv',\n",
-       " 'bdc2324-data/1/1events.csv',\n",
-       " 'bdc2324-data/1/1facilities.csv',\n",
-       " 'bdc2324-data/1/1link_stats.csv',\n",
-       " 'bdc2324-data/1/1pricing_formulas.csv',\n",
-       " 'bdc2324-data/1/1product_packs.csv',\n",
-       " 'bdc2324-data/1/1products.csv',\n",
-       " 'bdc2324-data/1/1products_groups.csv',\n",
-       " 'bdc2324-data/1/1purchases.csv',\n",
-       " 'bdc2324-data/1/1representation_category_capacities.csv',\n",
-       " 'bdc2324-data/1/1representations.csv',\n",
-       " 'bdc2324-data/1/1seasons.csv',\n",
-       " 'bdc2324-data/1/1structure_tag_mappings.csv',\n",
-       " 'bdc2324-data/1/1suppliers.csv',\n",
-       " 'bdc2324-data/1/1tags.csv',\n",
-       " 'bdc2324-data/1/1target_types.csv',\n",
-       " 'bdc2324-data/1/1targets.csv',\n",
-       " 'bdc2324-data/1/1tickets.csv',\n",
-       " 'bdc2324-data/1/1type_of_categories.csv',\n",
-       " 'bdc2324-data/1/1type_of_pricing_formulas.csv',\n",
-       " 'bdc2324-data/1/1type_ofs.csv']"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "FILE_PATH_S3 = fs.ls(BUCKET)[0] # focus on the company number 1\n",
-    "files_path =  fs.ls(FILE_PATH_S3)\n",
-    "files_path"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "id": "b26f7d2b-391f-4326-a60b-5b379186b4e8",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/tmp/ipykernel_624/107044352.py:9: DtypeWarning: Columns (1) have mixed types. Specify dtype option on import or set low_memory=False.\n",
-      "  df = pd.read_csv(file_in)\n"
-     ]
-    }
-   ],
-   "source": [
-    "# loop to create dataframes related to company 1\n",
-    "\n",
-    "client_number = files_path[0].split(\"/\")[1]\n",
-    "df_prefix = \"df\" + str(client_number) + \"_\"\n",
-    "\n",
-    "for i in range(len(files_path)) :\n",
-    "    current_path = files_path[i]\n",
-    "    with fs.open(current_path, mode=\"rb\") as file_in:\n",
-    "        df = pd.read_csv(file_in)\n",
-    "        # the pattern of the name is df1xxx\n",
-    "        nom_dataframe = df_prefix + re.search(r'\\/(\\d+)\\/(\\d+)([a-zA-Z_]+)\\.csv$', current_path).group(3)\n",
-    "        globals()[nom_dataframe] = df"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "5cb3e9dc-ba6e-408c-b1a6-a2c5a2215f71",
-   "metadata": {},
-   "source": [
-    "## Target, target types and customer target mapping"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "id": "c6dbd777-b6da-485f-a650-b0a12f3d90c4",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "id             int64\n",
-       "is_import       bool\n",
-       "name          object\n",
-       "created_at    object\n",
-       "updated_at    object\n",
-       "identifier    object\n",
-       "dtype: object"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# 1. target types\n",
-    "df1_target_types.dtypes"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "id": "04d625e8-b077-450f-a654-1a3b05fc1325",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "str"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "type(df1_target_types[\"created_at\"][0])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "id": "607441b9-33a8-41a7-a089-120dfe266de0",
-   "metadata": {},
-   "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>id</th>\n",
-       "      <th>is_import</th>\n",
-       "      <th>name</th>\n",
-       "      <th>created_at</th>\n",
-       "      <th>updated_at</th>\n",
-       "      <th>identifier</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>69</td>\n",
-       "      <td>False</td>\n",
-       "      <td>manual_dynamic_filter</td>\n",
-       "      <td>2020-11-30 09:46:18.881030+01:00</td>\n",
-       "      <td>2020-11-30 09:46:18.881030+01:00</td>\n",
-       "      <td>e0f4b8693184850fefd6d2a38f10584e</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>48</td>\n",
-       "      <td>True</td>\n",
-       "      <td>manual_structure</td>\n",
-       "      <td>2020-11-04 17:16:19.548275+01:00</td>\n",
-       "      <td>2020-11-04 17:16:19.548275+01:00</td>\n",
-       "      <td>382bca214204a2d3462f5ec2728d5d1e</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>1</td>\n",
-       "      <td>True</td>\n",
-       "      <td>manual_import</td>\n",
-       "      <td>2020-10-14 18:37:40.521623+02:00</td>\n",
-       "      <td>2020-10-14 18:37:40.521623+02:00</td>\n",
-       "      <td>12213df2ce68a624e4c0070521437bac</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>56</td>\n",
-       "      <td>False</td>\n",
-       "      <td>manual_static_filter</td>\n",
-       "      <td>2020-11-04 18:08:37.233486+01:00</td>\n",
-       "      <td>2020-11-04 18:08:37.233486+01:00</td>\n",
-       "      <td>fb27e81baa4debc6a4e1a8639c20e808</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   id  is_import                   name                        created_at  \\\n",
-       "0  69      False  manual_dynamic_filter  2020-11-30 09:46:18.881030+01:00   \n",
-       "1  48       True       manual_structure  2020-11-04 17:16:19.548275+01:00   \n",
-       "2   1       True          manual_import  2020-10-14 18:37:40.521623+02:00   \n",
-       "3  56      False   manual_static_filter  2020-11-04 18:08:37.233486+01:00   \n",
-       "\n",
-       "                         updated_at                        identifier  \n",
-       "0  2020-11-30 09:46:18.881030+01:00  e0f4b8693184850fefd6d2a38f10584e  \n",
-       "1  2020-11-04 17:16:19.548275+01:00  382bca214204a2d3462f5ec2728d5d1e  \n",
-       "2  2020-10-14 18:37:40.521623+02:00  12213df2ce68a624e4c0070521437bac  \n",
-       "3  2020-11-04 18:08:37.233486+01:00  fb27e81baa4debc6a4e1a8639c20e808  "
-      ]
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df1_target_types"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "id": "6c036742-3069-438d-82af-62acc89aa000",
-   "metadata": {},
-   "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>id</th>\n",
-       "      <th>target_type_id</th>\n",
-       "      <th>name</th>\n",
-       "      <th>created_at</th>\n",
-       "      <th>updated_at</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>217</td>\n",
-       "      <td>56</td>\n",
-       "      <td>DDCP PROMO Art contemporain - salle de chauffe...</td>\n",
-       "      <td>2021-01-04 15:00:05.401899+01:00</td>\n",
-       "      <td>2021-03-02 18:38:19.025969+01:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>701</td>\n",
-       "      <td>56</td>\n",
-       "      <td>consentement optin scolaires</td>\n",
-       "      <td>2021-12-21 16:03:59.840785+01:00</td>\n",
-       "      <td>2022-02-18 17:23:44.761388+01:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>134</td>\n",
-       "      <td>56</td>\n",
-       "      <td>DDCP Newsletter jeune public</td>\n",
-       "      <td>2020-11-10 09:43:19.667471+01:00</td>\n",
-       "      <td>2021-03-02 18:38:19.052304+01:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>700</td>\n",
-       "      <td>56</td>\n",
-       "      <td>consentement optout scolaires</td>\n",
-       "      <td>2021-12-21 16:01:57.524946+01:00</td>\n",
-       "      <td>2022-02-18 17:23:44.807776+01:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>964</td>\n",
-       "      <td>56</td>\n",
-       "      <td>DDCP achat billet nbr dep 19052021</td>\n",
-       "      <td>2022-04-14 10:58:17.142834+02:00</td>\n",
-       "      <td>2022-04-14 10:58:23.677264+02:00</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "    id  target_type_id                                               name  \\\n",
-       "0  217              56  DDCP PROMO Art contemporain - salle de chauffe...   \n",
-       "1  701              56                       consentement optin scolaires   \n",
-       "2  134              56                       DDCP Newsletter jeune public   \n",
-       "3  700              56                      consentement optout scolaires   \n",
-       "4  964              56                 DDCP achat billet nbr dep 19052021   \n",
-       "\n",
-       "                         created_at                        updated_at  \n",
-       "0  2021-01-04 15:00:05.401899+01:00  2021-03-02 18:38:19.025969+01:00  \n",
-       "1  2021-12-21 16:03:59.840785+01:00  2022-02-18 17:23:44.761388+01:00  \n",
-       "2  2020-11-10 09:43:19.667471+01:00  2021-03-02 18:38:19.052304+01:00  \n",
-       "3  2021-12-21 16:01:57.524946+01:00  2022-02-18 17:23:44.807776+01:00  \n",
-       "4  2022-04-14 10:58:17.142834+02:00  2022-04-14 10:58:23.677264+02:00  "
-      ]
-     },
-     "execution_count": 8,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# 2. targets\n",
-    "\n",
-    "df1_targets.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 30,
-   "id": "6bcde543-3eea-4584-82a2-903a1007c4ee",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "id                 int64\n",
-       "target_type_id     int64\n",
-       "name              object\n",
-       "created_at        object\n",
-       "updated_at        object\n",
-       "dtype: object"
-      ]
-     },
-     "execution_count": 30,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df1_targets.dtypes"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 33,
-   "id": "bc9acebd-a030-4a40-bd1f-2ff0ab3f59d2",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "str"
-      ]
-     },
-     "execution_count": 33,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "type(df1_targets[\"created_at\"][0])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 35,
-   "id": "9e1b38d3-220c-4a20-a60b-a8f87dfd5bff",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "id                0\n",
-       "target_type_id    0\n",
-       "name              0\n",
-       "created_at        0\n",
-       "updated_at        0\n",
-       "dtype: int64"
-      ]
-     },
-     "execution_count": 35,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# valeurs manquantes\n",
-    "\n",
-    "df1_targets.isna().sum()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 36,
-   "id": "bf660284-974f-40aa-a914-100d45fceafc",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "287"
-      ]
-     },
-     "execution_count": 36,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df1_targets[\"name\"].nunique()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 37,
-   "id": "6589e11c-9c7a-4bd8-8953-3c5a23fa0ba2",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
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-       "\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>id</th>\n",
-       "      <th>target_type_id</th>\n",
-       "      <th>name</th>\n",
-       "      <th>created_at</th>\n",
-       "      <th>updated_at</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>217</td>\n",
-       "      <td>56</td>\n",
-       "      <td>DDCP PROMO Art contemporain - salle de chauffe...</td>\n",
-       "      <td>2021-01-04 15:00:05.401899+01:00</td>\n",
-       "      <td>2021-03-02 18:38:19.025969+01:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>701</td>\n",
-       "      <td>56</td>\n",
-       "      <td>consentement optin scolaires</td>\n",
-       "      <td>2021-12-21 16:03:59.840785+01:00</td>\n",
-       "      <td>2022-02-18 17:23:44.761388+01:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>134</td>\n",
-       "      <td>56</td>\n",
-       "      <td>DDCP Newsletter jeune public</td>\n",
-       "      <td>2020-11-10 09:43:19.667471+01:00</td>\n",
-       "      <td>2021-03-02 18:38:19.052304+01:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>700</td>\n",
-       "      <td>56</td>\n",
-       "      <td>consentement optout scolaires</td>\n",
-       "      <td>2021-12-21 16:01:57.524946+01:00</td>\n",
-       "      <td>2022-02-18 17:23:44.807776+01:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>964</td>\n",
-       "      <td>56</td>\n",
-       "      <td>DDCP achat billet nbr dep 19052021</td>\n",
-       "      <td>2022-04-14 10:58:17.142834+02:00</td>\n",
-       "      <td>2022-04-14 10:58:23.677264+02:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>282</th>\n",
-       "      <td>1811</td>\n",
-       "      <td>1</td>\n",
-       "      <td>ddcp_promo_ribambelle_2022_mapado_naikko_opt in</td>\n",
-       "      <td>2022-11-30 15:57:05.681956+01:00</td>\n",
-       "      <td>2022-11-30 16:00:32.649210+01:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>283</th>\n",
-       "      <td>2006</td>\n",
-       "      <td>1</td>\n",
-       "      <td>cp 14 mars</td>\n",
-       "      <td>2023-03-03 18:07:00.223750+01:00</td>\n",
-       "      <td>2023-03-03 18:15:01.390970+01:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>284</th>\n",
-       "      <td>2193</td>\n",
-       "      <td>1</td>\n",
-       "      <td>ddcp fichier musique 2</td>\n",
-       "      <td>2023-04-14 14:33:53.628142+02:00</td>\n",
-       "      <td>2023-04-14 15:00:35.608210+02:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>285</th>\n",
-       "      <td>2429</td>\n",
-       "      <td>1</td>\n",
-       "      <td>import_mucem</td>\n",
-       "      <td>2023-06-26 18:32:40.146757+02:00</td>\n",
-       "      <td>2023-06-26 18:45:02.614668+02:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>286</th>\n",
-       "      <td>2485</td>\n",
-       "      <td>1</td>\n",
-       "      <td>po_au salon_2e envoi</td>\n",
-       "      <td>2023-07-03 13:09:48.598072+02:00</td>\n",
-       "      <td>2023-07-03 13:15:03.634600+02:00</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>287 rows × 5 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "       id  target_type_id                                               name  \\\n",
-       "0     217              56  DDCP PROMO Art contemporain - salle de chauffe...   \n",
-       "1     701              56                       consentement optin scolaires   \n",
-       "2     134              56                       DDCP Newsletter jeune public   \n",
-       "3     700              56                      consentement optout scolaires   \n",
-       "4     964              56                 DDCP achat billet nbr dep 19052021   \n",
-       "..    ...             ...                                                ...   \n",
-       "282  1811               1    ddcp_promo_ribambelle_2022_mapado_naikko_opt in   \n",
-       "283  2006               1                                         cp 14 mars   \n",
-       "284  2193               1                             ddcp fichier musique 2   \n",
-       "285  2429               1                                       import_mucem   \n",
-       "286  2485               1                               po_au salon_2e envoi   \n",
-       "\n",
-       "                           created_at                        updated_at  \n",
-       "0    2021-01-04 15:00:05.401899+01:00  2021-03-02 18:38:19.025969+01:00  \n",
-       "1    2021-12-21 16:03:59.840785+01:00  2022-02-18 17:23:44.761388+01:00  \n",
-       "2    2020-11-10 09:43:19.667471+01:00  2021-03-02 18:38:19.052304+01:00  \n",
-       "3    2021-12-21 16:01:57.524946+01:00  2022-02-18 17:23:44.807776+01:00  \n",
-       "4    2022-04-14 10:58:17.142834+02:00  2022-04-14 10:58:23.677264+02:00  \n",
-       "..                                ...                               ...  \n",
-       "282  2022-11-30 15:57:05.681956+01:00  2022-11-30 16:00:32.649210+01:00  \n",
-       "283  2023-03-03 18:07:00.223750+01:00  2023-03-03 18:15:01.390970+01:00  \n",
-       "284  2023-04-14 14:33:53.628142+02:00  2023-04-14 15:00:35.608210+02:00  \n",
-       "285  2023-06-26 18:32:40.146757+02:00  2023-06-26 18:45:02.614668+02:00  \n",
-       "286  2023-07-03 13:09:48.598072+02:00  2023-07-03 13:15:03.634600+02:00  \n",
-       "\n",
-       "[287 rows x 5 columns]"
-      ]
-     },
-     "execution_count": 37,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df1_targets"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "id": "ef56e8ec-0429-475e-9c28-07983654c37b",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
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-       "      <th></th>\n",
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-       "      <th>customer_id</th>\n",
-       "      <th>target_id</th>\n",
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-       "      <th>updated_at</th>\n",
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-       "      <td>2021-09-23 09:35:47.617275+02:00</td>\n",
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-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>1184828</td>\n",
-       "      <td>645402</td>\n",
-       "      <td>126</td>\n",
-       "      <td>2021-09-23 12:02:51.253269+02:00</td>\n",
-       "      <td>2021-09-23 12:02:51.253269+02:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>1184829</td>\n",
-       "      <td>645403</td>\n",
-       "      <td>126</td>\n",
-       "      <td>2021-09-23 12:20:47.394480+02:00</td>\n",
-       "      <td>2021-09-23 12:20:47.394480+02:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>1295770</td>\n",
-       "      <td>647301</td>\n",
-       "      <td>346</td>\n",
-       "      <td>2021-09-28 16:02:29.372608+02:00</td>\n",
-       "      <td>2021-09-28 16:02:29.372608+02:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "        id  customer_id  target_id                        created_at  \\\n",
-       "0  1184824       645400        130  2021-09-23 09:35:47.617275+02:00   \n",
-       "1  1184825       645400        345  2021-09-23 09:35:47.668846+02:00   \n",
-       "2  1184828       645402        126  2021-09-23 12:02:51.253269+02:00   \n",
-       "3  1184829       645403        126  2021-09-23 12:20:47.394480+02:00   \n",
-       "4  1295770       647301        346  2021-09-28 16:02:29.372608+02:00   \n",
-       "\n",
-       "                         updated_at  name  extra_field  \n",
-       "0  2021-09-23 09:35:47.617275+02:00   NaN          NaN  \n",
-       "1  2021-09-23 09:35:47.668846+02:00   NaN          NaN  \n",
-       "2  2021-09-23 12:02:51.253269+02:00   NaN          NaN  \n",
-       "3  2021-09-23 12:20:47.394480+02:00   NaN          NaN  \n",
-       "4  2021-09-28 16:02:29.372608+02:00   NaN          NaN  "
-      ]
-     },
-     "execution_count": 13,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# 3. customer target mapping\n",
-    "\n",
-    "df1_customer_target_mappings.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "id": "5244543f-1948-4769-be1f-691ad13174a8",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "id             0.000000\n",
-       "customer_id    0.000000\n",
-       "target_id      0.000000\n",
-       "created_at     0.000022\n",
-       "updated_at     0.000022\n",
-       "name           1.000000\n",
-       "extra_field    1.000000\n",
-       "dtype: float64"
-      ]
-     },
-     "execution_count": 19,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df1_customer_target_mappings.isna().sum()/df1_customer_target_mappings.shape[0]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "id": "1c59e2ae-ee24-4195-bfea-ae55b92368ec",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "768024"
-      ]
-     },
-     "execution_count": 17,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df1_customer_target_mappings[\"id\"].nunique()\n",
-    "# df1_customer_target_mappings.shape[0]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 28,
-   "id": "4ed49f39-e6d3-4785-ba7d-bce918d423ee",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0"
-      ]
-     },
-     "execution_count": 28,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# les couples customer_id / target_id sont-ils uniques ?\n",
-    "df1_customer_target_mappings.duplicated(subset = [\"customer_id\", \"target_id\"]).sum() # aucun doublon"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 30,
-   "id": "f8cb1740-2cb0-4b3a-bfb0-d35423dc2cc7",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
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-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>target_type_id</th>\n",
-       "      <th>target_type_is_import</th>\n",
-       "      <th>target_type_name</th>\n",
-       "      <th>target_type_identifier</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>69</td>\n",
-       "      <td>False</td>\n",
-       "      <td>manual_dynamic_filter</td>\n",
-       "      <td>e0f4b8693184850fefd6d2a38f10584e</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>48</td>\n",
-       "      <td>True</td>\n",
-       "      <td>manual_structure</td>\n",
-       "      <td>382bca214204a2d3462f5ec2728d5d1e</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>1</td>\n",
-       "      <td>True</td>\n",
-       "      <td>manual_import</td>\n",
-       "      <td>12213df2ce68a624e4c0070521437bac</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>56</td>\n",
-       "      <td>False</td>\n",
-       "      <td>manual_static_filter</td>\n",
-       "      <td>fb27e81baa4debc6a4e1a8639c20e808</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   target_type_id  target_type_is_import       target_type_name  \\\n",
-       "0              69                  False  manual_dynamic_filter   \n",
-       "1              48                   True       manual_structure   \n",
-       "2               1                   True          manual_import   \n",
-       "3              56                  False   manual_static_filter   \n",
-       "\n",
-       "             target_type_identifier  \n",
-       "0  e0f4b8693184850fefd6d2a38f10584e  \n",
-       "1  382bca214204a2d3462f5ec2728d5d1e  \n",
-       "2  12213df2ce68a624e4c0070521437bac  \n",
-       "3  fb27e81baa4debc6a4e1a8639c20e808  "
-      ]
-     },
-     "execution_count": 30,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# 4.1. merge target with target type\n",
-    "\n",
-    "df1_target_types[[\"id\",\"is_import\",\"name\",\"identifier\"]].add_prefix(\"target_type_\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 94,
-   "id": "ebabdebd-3d75-4048-b65d-4cbd69bee390",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
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-       "\n",
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-       "    }\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>id</th>\n",
-       "      <th>target_type_id</th>\n",
-       "      <th>name</th>\n",
-       "      <th>created_at</th>\n",
-       "      <th>updated_at</th>\n",
-       "      <th>target_type_is_import</th>\n",
-       "      <th>target_type_name</th>\n",
-       "      <th>target_type_identifier</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>217</td>\n",
-       "      <td>56</td>\n",
-       "      <td>DDCP PROMO Art contemporain - salle de chauffe...</td>\n",
-       "      <td>2021-01-04 15:00:05.401899+01:00</td>\n",
-       "      <td>2021-03-02 18:38:19.025969+01:00</td>\n",
-       "      <td>False</td>\n",
-       "      <td>manual_static_filter</td>\n",
-       "      <td>fb27e81baa4debc6a4e1a8639c20e808</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>701</td>\n",
-       "      <td>56</td>\n",
-       "      <td>consentement optin scolaires</td>\n",
-       "      <td>2021-12-21 16:03:59.840785+01:00</td>\n",
-       "      <td>2022-02-18 17:23:44.761388+01:00</td>\n",
-       "      <td>False</td>\n",
-       "      <td>manual_static_filter</td>\n",
-       "      <td>fb27e81baa4debc6a4e1a8639c20e808</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>134</td>\n",
-       "      <td>56</td>\n",
-       "      <td>DDCP Newsletter jeune public</td>\n",
-       "      <td>2020-11-10 09:43:19.667471+01:00</td>\n",
-       "      <td>2021-03-02 18:38:19.052304+01:00</td>\n",
-       "      <td>False</td>\n",
-       "      <td>manual_static_filter</td>\n",
-       "      <td>fb27e81baa4debc6a4e1a8639c20e808</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>700</td>\n",
-       "      <td>56</td>\n",
-       "      <td>consentement optout scolaires</td>\n",
-       "      <td>2021-12-21 16:01:57.524946+01:00</td>\n",
-       "      <td>2022-02-18 17:23:44.807776+01:00</td>\n",
-       "      <td>False</td>\n",
-       "      <td>manual_static_filter</td>\n",
-       "      <td>fb27e81baa4debc6a4e1a8639c20e808</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>964</td>\n",
-       "      <td>56</td>\n",
-       "      <td>DDCP achat billet nbr dep 19052021</td>\n",
-       "      <td>2022-04-14 10:58:17.142834+02:00</td>\n",
-       "      <td>2022-04-14 10:58:23.677264+02:00</td>\n",
-       "      <td>False</td>\n",
-       "      <td>manual_static_filter</td>\n",
-       "      <td>fb27e81baa4debc6a4e1a8639c20e808</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",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>282</th>\n",
-       "      <td>1811</td>\n",
-       "      <td>1</td>\n",
-       "      <td>ddcp_promo_ribambelle_2022_mapado_naikko_opt in</td>\n",
-       "      <td>2022-11-30 15:57:05.681956+01:00</td>\n",
-       "      <td>2022-11-30 16:00:32.649210+01:00</td>\n",
-       "      <td>True</td>\n",
-       "      <td>manual_import</td>\n",
-       "      <td>12213df2ce68a624e4c0070521437bac</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>283</th>\n",
-       "      <td>2006</td>\n",
-       "      <td>1</td>\n",
-       "      <td>cp 14 mars</td>\n",
-       "      <td>2023-03-03 18:07:00.223750+01:00</td>\n",
-       "      <td>2023-03-03 18:15:01.390970+01:00</td>\n",
-       "      <td>True</td>\n",
-       "      <td>manual_import</td>\n",
-       "      <td>12213df2ce68a624e4c0070521437bac</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>284</th>\n",
-       "      <td>2193</td>\n",
-       "      <td>1</td>\n",
-       "      <td>ddcp fichier musique 2</td>\n",
-       "      <td>2023-04-14 14:33:53.628142+02:00</td>\n",
-       "      <td>2023-04-14 15:00:35.608210+02:00</td>\n",
-       "      <td>True</td>\n",
-       "      <td>manual_import</td>\n",
-       "      <td>12213df2ce68a624e4c0070521437bac</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>285</th>\n",
-       "      <td>2429</td>\n",
-       "      <td>1</td>\n",
-       "      <td>import_mucem</td>\n",
-       "      <td>2023-06-26 18:32:40.146757+02:00</td>\n",
-       "      <td>2023-06-26 18:45:02.614668+02:00</td>\n",
-       "      <td>True</td>\n",
-       "      <td>manual_import</td>\n",
-       "      <td>12213df2ce68a624e4c0070521437bac</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>286</th>\n",
-       "      <td>2485</td>\n",
-       "      <td>1</td>\n",
-       "      <td>po_au salon_2e envoi</td>\n",
-       "      <td>2023-07-03 13:09:48.598072+02:00</td>\n",
-       "      <td>2023-07-03 13:15:03.634600+02:00</td>\n",
-       "      <td>True</td>\n",
-       "      <td>manual_import</td>\n",
-       "      <td>12213df2ce68a624e4c0070521437bac</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>287 rows × 8 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "       id  target_type_id                                               name  \\\n",
-       "0     217              56  DDCP PROMO Art contemporain - salle de chauffe...   \n",
-       "1     701              56                       consentement optin scolaires   \n",
-       "2     134              56                       DDCP Newsletter jeune public   \n",
-       "3     700              56                      consentement optout scolaires   \n",
-       "4     964              56                 DDCP achat billet nbr dep 19052021   \n",
-       "..    ...             ...                                                ...   \n",
-       "282  1811               1    ddcp_promo_ribambelle_2022_mapado_naikko_opt in   \n",
-       "283  2006               1                                         cp 14 mars   \n",
-       "284  2193               1                             ddcp fichier musique 2   \n",
-       "285  2429               1                                       import_mucem   \n",
-       "286  2485               1                               po_au salon_2e envoi   \n",
-       "\n",
-       "                           created_at                        updated_at  \\\n",
-       "0    2021-01-04 15:00:05.401899+01:00  2021-03-02 18:38:19.025969+01:00   \n",
-       "1    2021-12-21 16:03:59.840785+01:00  2022-02-18 17:23:44.761388+01:00   \n",
-       "2    2020-11-10 09:43:19.667471+01:00  2021-03-02 18:38:19.052304+01:00   \n",
-       "3    2021-12-21 16:01:57.524946+01:00  2022-02-18 17:23:44.807776+01:00   \n",
-       "4    2022-04-14 10:58:17.142834+02:00  2022-04-14 10:58:23.677264+02:00   \n",
-       "..                                ...                               ...   \n",
-       "282  2022-11-30 15:57:05.681956+01:00  2022-11-30 16:00:32.649210+01:00   \n",
-       "283  2023-03-03 18:07:00.223750+01:00  2023-03-03 18:15:01.390970+01:00   \n",
-       "284  2023-04-14 14:33:53.628142+02:00  2023-04-14 15:00:35.608210+02:00   \n",
-       "285  2023-06-26 18:32:40.146757+02:00  2023-06-26 18:45:02.614668+02:00   \n",
-       "286  2023-07-03 13:09:48.598072+02:00  2023-07-03 13:15:03.634600+02:00   \n",
-       "\n",
-       "     target_type_is_import      target_type_name  \\\n",
-       "0                    False  manual_static_filter   \n",
-       "1                    False  manual_static_filter   \n",
-       "2                    False  manual_static_filter   \n",
-       "3                    False  manual_static_filter   \n",
-       "4                    False  manual_static_filter   \n",
-       "..                     ...                   ...   \n",
-       "282                   True         manual_import   \n",
-       "283                   True         manual_import   \n",
-       "284                   True         manual_import   \n",
-       "285                   True         manual_import   \n",
-       "286                   True         manual_import   \n",
-       "\n",
-       "               target_type_identifier  \n",
-       "0    fb27e81baa4debc6a4e1a8639c20e808  \n",
-       "1    fb27e81baa4debc6a4e1a8639c20e808  \n",
-       "2    fb27e81baa4debc6a4e1a8639c20e808  \n",
-       "3    fb27e81baa4debc6a4e1a8639c20e808  \n",
-       "4    fb27e81baa4debc6a4e1a8639c20e808  \n",
-       "..                                ...  \n",
-       "282  12213df2ce68a624e4c0070521437bac  \n",
-       "283  12213df2ce68a624e4c0070521437bac  \n",
-       "284  12213df2ce68a624e4c0070521437bac  \n",
-       "285  12213df2ce68a624e4c0070521437bac  \n",
-       "286  12213df2ce68a624e4c0070521437bac  \n",
-       "\n",
-       "[287 rows x 8 columns]"
-      ]
-     },
-     "execution_count": 94,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# merge\n",
-    "\n",
-    "df1_targets_full = pd.merge(df1_targets, df1_target_types[[\"id\",\"is_import\",\"name\",\"identifier\"]].add_prefix(\"target_type_\"), left_on='target_type_id', right_on='target_type_id', how='left')\n",
-    "df1_targets_full"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 32,
-   "id": "f0b03a5d-b622-496a-bc71-ef92e91f9e51",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
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-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>id</th>\n",
-       "      <th>customer_id</th>\n",
-       "      <th>target_id</th>\n",
-       "      <th>created_at</th>\n",
-       "      <th>updated_at</th>\n",
-       "      <th>name</th>\n",
-       "      <th>extra_field</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>1184824</td>\n",
-       "      <td>645400</td>\n",
-       "      <td>130</td>\n",
-       "      <td>2021-09-23 09:35:47.617275+02:00</td>\n",
-       "      <td>2021-09-23 09:35:47.617275+02:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>1184825</td>\n",
-       "      <td>645400</td>\n",
-       "      <td>345</td>\n",
-       "      <td>2021-09-23 09:35:47.668846+02:00</td>\n",
-       "      <td>2021-09-23 09:35:47.668846+02:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>1184828</td>\n",
-       "      <td>645402</td>\n",
-       "      <td>126</td>\n",
-       "      <td>2021-09-23 12:02:51.253269+02:00</td>\n",
-       "      <td>2021-09-23 12:02:51.253269+02:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>1184829</td>\n",
-       "      <td>645403</td>\n",
-       "      <td>126</td>\n",
-       "      <td>2021-09-23 12:20:47.394480+02:00</td>\n",
-       "      <td>2021-09-23 12:20:47.394480+02:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>1295770</td>\n",
-       "      <td>647301</td>\n",
-       "      <td>346</td>\n",
-       "      <td>2021-09-28 16:02:29.372608+02:00</td>\n",
-       "      <td>2021-09-28 16:02:29.372608+02:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "        id  customer_id  target_id                        created_at  \\\n",
-       "0  1184824       645400        130  2021-09-23 09:35:47.617275+02:00   \n",
-       "1  1184825       645400        345  2021-09-23 09:35:47.668846+02:00   \n",
-       "2  1184828       645402        126  2021-09-23 12:02:51.253269+02:00   \n",
-       "3  1184829       645403        126  2021-09-23 12:20:47.394480+02:00   \n",
-       "4  1295770       647301        346  2021-09-28 16:02:29.372608+02:00   \n",
-       "\n",
-       "                         updated_at  name  extra_field  \n",
-       "0  2021-09-23 09:35:47.617275+02:00   NaN          NaN  \n",
-       "1  2021-09-23 09:35:47.668846+02:00   NaN          NaN  \n",
-       "2  2021-09-23 12:02:51.253269+02:00   NaN          NaN  \n",
-       "3  2021-09-23 12:20:47.394480+02:00   NaN          NaN  \n",
-       "4  2021-09-28 16:02:29.372608+02:00   NaN          NaN  "
-      ]
-     },
-     "execution_count": 32,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# 4.2. merge df1_customer_target_mappings with df1_targets_full\n",
-    "\n",
-    "df1_customer_target_mappings.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 42,
-   "id": "906e01fd-23b3-4da7-bc5e-6618599fbb05",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "17"
-      ]
-     },
-     "execution_count": 42,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Q : les dates de création et de mise à jour de la table customer target mapping sont elles égales ??\n",
-    "\n",
-    "# 17 observations for which creation date != update date, ms ce sont que des Nan, OK !\n",
-    "(df1_customer_target_mappings[\"created_at\"] != df1_customer_target_mappings[\"updated_at\"]).sum() "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 43,
-   "id": "c9265d2f-b636-415e-bc2d-99b932b89424",
-   "metadata": {},
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-       "             id  customer_id  target_id created_at updated_at  name  \\\n",
-       "605484  1691570       661701        264        NaN        NaN   NaN   \n",
-       "654549  1832071       651594        264        NaN        NaN   NaN   \n",
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-       "655162  1949466       663865        264        NaN        NaN   NaN   \n",
-       "754038  2154438       664300        264        NaN        NaN   NaN   \n",
-       "760929  2282079       665557        264        NaN        NaN   NaN   \n",
-       "760930  2282080       665563        264        NaN        NaN   NaN   \n",
-       "761787  2675293       661492        264        NaN        NaN   NaN   \n",
-       "761798  2721237       665931        264        NaN        NaN   NaN   \n",
-       "761799  2721238       665932        264        NaN        NaN   NaN   \n",
-       "761800  2721239       665938        264        NaN        NaN   NaN   \n",
-       "761801  2721240       665956        264        NaN        NaN   NaN   \n",
-       "767918  2736960       666466        264        NaN        NaN   NaN   \n",
-       "767919  2736961       666468        264        NaN        NaN   NaN   \n",
-       "767968  2737357       666824        264        NaN        NaN   NaN   \n",
-       "767984  2737489       107743        264        NaN        NaN   NaN   \n",
-       "\n",
-       "        extra_field  \n",
-       "605484          NaN  \n",
-       "654549          NaN  \n",
-       "654550          NaN  \n",
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-    "df1_customer_target_mappings[df1_customer_target_mappings[\"created_at\"] != df1_customer_target_mappings[\"updated_at\"]]"
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-       "<p>1954 rows × 7 columns</p>\n",
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-       "             id  customer_id  target_id                        created_at  \\\n",
-       "140     3416265         1751        264  2022-01-28 20:00:16.448920+01:00   \n",
-       "149     3416274         2213        264  2022-01-28 20:30:17.323634+01:00   \n",
-       "1120    4292054      1156059        264  2022-09-29 07:00:43.003440+02:00   \n",
-       "1121    4292055      1156063        264  2022-09-29 07:00:43.003440+02:00   \n",
-       "4006    4428048        34916        264  2023-03-14 07:01:27.868349+01:00   \n",
-       "...         ...          ...        ...                               ...   \n",
-       "761801  2721240       665956        264                               NaN   \n",
-       "767918  2736960       666466        264                               NaN   \n",
-       "767919  2736961       666468        264                               NaN   \n",
-       "767968  2737357       666824        264                               NaN   \n",
-       "767984  2737489       107743        264                               NaN   \n",
-       "\n",
-       "                              updated_at  name  extra_field  \n",
-       "140     2022-01-28 20:00:16.448920+01:00   NaN          NaN  \n",
-       "149     2022-01-28 20:30:17.323634+01:00   NaN          NaN  \n",
-       "1120    2022-09-29 07:00:43.003440+02:00   NaN          NaN  \n",
-       "1121    2022-09-29 07:00:43.003440+02:00   NaN          NaN  \n",
-       "4006    2023-03-14 07:01:27.868349+01:00   NaN          NaN  \n",
-       "...                                  ...   ...          ...  \n",
-       "761801                               NaN   NaN          NaN  \n",
-       "767918                               NaN   NaN          NaN  \n",
-       "767919                               NaN   NaN          NaN  \n",
-       "767968                               NaN   NaN          NaN  \n",
-       "767984                               NaN   NaN          NaN  \n",
-       "\n",
-       "[1954 rows x 7 columns]"
-      ]
-     },
-     "execution_count": 44,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# ces données manquantes concernent le target avec id 264, mais les autres valeurs pr ce même target sont bien renseignées\n",
-    "df1_customer_target_mappings[df1_customer_target_mappings[\"target_id\"]==264]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 71,
-   "id": "0681b3e6-71bb-4132-b11a-646382f78de6",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'2021-10-28 11:30:42.717180+02:00'"
-      ]
-     },
-     "execution_count": 71,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Q : les dates de creation / update sont elles-uniques selon le client ou selon la target ?\n",
-    "\n",
-    "df1_customer_target_mappings[df1_customer_target_mappings[\"target_id\"]==217][\"updated_at\"].max()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 65,
-   "id": "93e4a125-08dd-42ba-baa6-0dc5996a76af",
-   "metadata": {},
-   "outputs": [
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-       "      <th>0</th>\n",
-       "      <td>217</td>\n",
-       "      <td>56</td>\n",
-       "      <td>DDCP PROMO Art contemporain - salle de chauffe...</td>\n",
-       "      <td>2021-01-04 15:00:05.401899+01:00</td>\n",
-       "      <td>2021-03-02 18:38:19.025969+01:00</td>\n",
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-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "    id  target_type_id                                               name  \\\n",
-       "0  217              56  DDCP PROMO Art contemporain - salle de chauffe...   \n",
-       "\n",
-       "                         created_at                        updated_at  \\\n",
-       "0  2021-01-04 15:00:05.401899+01:00  2021-03-02 18:38:19.025969+01:00   \n",
-       "\n",
-       "   target_type_is_import      target_type_name  \\\n",
-       "0                  False  manual_static_filter   \n",
-       "\n",
-       "             target_type_identifier  \n",
-       "0  fb27e81baa4debc6a4e1a8639c20e808  "
-      ]
-     },
-     "execution_count": 65,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df1_targets_full[df1_targets_full[\"id\"]==217]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 69,
-   "id": "88eac1a6-74b1-4ce1-91a1-c1c69e7a9264",
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-       "      <td>DDCP PROMO Art contemporain - salle de chauffe...</td>\n",
-       "      <td>2021-01-04 15:00:05.401899+01:00</td>\n",
-       "      <td>2021-03-02 18:38:19.025969+01:00</td>\n",
-       "      <td>False</td>\n",
-       "      <td>manual_static_filter</td>\n",
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-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>701</td>\n",
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-       "      <td>consentement optin scolaires</td>\n",
-       "      <td>2021-12-21 16:03:59.840785+01:00</td>\n",
-       "      <td>2022-02-18 17:23:44.761388+01:00</td>\n",
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-       "      <th>2</th>\n",
-       "      <td>134</td>\n",
-       "      <td>56</td>\n",
-       "      <td>DDCP Newsletter jeune public</td>\n",
-       "      <td>2020-11-10 09:43:19.667471+01:00</td>\n",
-       "      <td>2021-03-02 18:38:19.052304+01:00</td>\n",
-       "      <td>False</td>\n",
-       "      <td>manual_static_filter</td>\n",
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-       "      <th>3</th>\n",
-       "      <td>700</td>\n",
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-       "      <td>2021-12-21 16:01:57.524946+01:00</td>\n",
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-       "      <th>4</th>\n",
-       "      <td>964</td>\n",
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-       "      <td>DDCP achat billet nbr dep 19052021</td>\n",
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-       "      <td>2022-04-14 10:58:23.677264+02:00</td>\n",
-       "      <td>False</td>\n",
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-       "    </tr>\n",
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-       "</div>"
-      ],
-      "text/plain": [
-       "    id  target_type_id                                               name  \\\n",
-       "0  217              56  DDCP PROMO Art contemporain - salle de chauffe...   \n",
-       "1  701              56                       consentement optin scolaires   \n",
-       "2  134              56                       DDCP Newsletter jeune public   \n",
-       "3  700              56                      consentement optout scolaires   \n",
-       "4  964              56                 DDCP achat billet nbr dep 19052021   \n",
-       "\n",
-       "                         created_at                        updated_at  \\\n",
-       "0  2021-01-04 15:00:05.401899+01:00  2021-03-02 18:38:19.025969+01:00   \n",
-       "1  2021-12-21 16:03:59.840785+01:00  2022-02-18 17:23:44.761388+01:00   \n",
-       "2  2020-11-10 09:43:19.667471+01:00  2021-03-02 18:38:19.052304+01:00   \n",
-       "3  2021-12-21 16:01:57.524946+01:00  2022-02-18 17:23:44.807776+01:00   \n",
-       "4  2022-04-14 10:58:17.142834+02:00  2022-04-14 10:58:23.677264+02:00   \n",
-       "\n",
-       "   target_type_is_import      target_type_name  \\\n",
-       "0                  False  manual_static_filter   \n",
-       "1                  False  manual_static_filter   \n",
-       "2                  False  manual_static_filter   \n",
-       "3                  False  manual_static_filter   \n",
-       "4                  False  manual_static_filter   \n",
-       "\n",
-       "             target_type_identifier  \n",
-       "0  fb27e81baa4debc6a4e1a8639c20e808  \n",
-       "1  fb27e81baa4debc6a4e1a8639c20e808  \n",
-       "2  fb27e81baa4debc6a4e1a8639c20e808  \n",
-       "3  fb27e81baa4debc6a4e1a8639c20e808  \n",
-       "4  fb27e81baa4debc6a4e1a8639c20e808  "
-      ]
-     },
-     "execution_count": 69,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df1_targets_full.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 74,
-   "id": "9af4066e-97d8-4066-a7ef-094807e33ba3",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
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-       "      <th>id</th>\n",
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-       "      <td>NaN</td>\n",
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-       "      <td>645402</td>\n",
-       "      <td>126</td>\n",
-       "      <td>2021-09-23 12:02:51.253269+02:00</td>\n",
-       "      <td>2021-09-23 12:02:51.253269+02:00</td>\n",
-       "      <td>NaN</td>\n",
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-       "      <td>1184829</td>\n",
-       "      <td>645403</td>\n",
-       "      <td>126</td>\n",
-       "      <td>2021-09-23 12:20:47.394480+02:00</td>\n",
-       "      <td>2021-09-23 12:20:47.394480+02:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>1295770</td>\n",
-       "      <td>647301</td>\n",
-       "      <td>346</td>\n",
-       "      <td>2021-09-28 16:02:29.372608+02:00</td>\n",
-       "      <td>2021-09-28 16:02:29.372608+02:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
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-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
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-       "      <td>...</td>\n",
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-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>768019</th>\n",
-       "      <td>2737545</td>\n",
-       "      <td>666983</td>\n",
-       "      <td>345</td>\n",
-       "      <td>2021-12-14 14:48:05.456842+01:00</td>\n",
-       "      <td>2021-12-14 14:48:05.456842+01:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>768020</th>\n",
-       "      <td>2737546</td>\n",
-       "      <td>666983</td>\n",
-       "      <td>346</td>\n",
-       "      <td>2021-12-14 14:48:05.465830+01:00</td>\n",
-       "      <td>2021-12-14 14:48:05.465830+01:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>768021</th>\n",
-       "      <td>2737575</td>\n",
-       "      <td>666986</td>\n",
-       "      <td>346</td>\n",
-       "      <td>2021-12-14 23:15:42.757832+01:00</td>\n",
-       "      <td>2021-12-14 23:15:42.757832+01:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>768022</th>\n",
-       "      <td>2737576</td>\n",
-       "      <td>666987</td>\n",
-       "      <td>345</td>\n",
-       "      <td>2021-12-15 00:14:59.018215+01:00</td>\n",
-       "      <td>2021-12-15 00:14:59.018215+01:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>768023</th>\n",
-       "      <td>2737577</td>\n",
-       "      <td>666987</td>\n",
-       "      <td>346</td>\n",
-       "      <td>2021-12-15 00:14:59.029434+01:00</td>\n",
-       "      <td>2021-12-15 00:14:59.029434+01:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>768024 rows × 7 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "             id  customer_id  target_id                        created_at  \\\n",
-       "0       1184824       645400        130  2021-09-23 09:35:47.617275+02:00   \n",
-       "1       1184825       645400        345  2021-09-23 09:35:47.668846+02:00   \n",
-       "2       1184828       645402        126  2021-09-23 12:02:51.253269+02:00   \n",
-       "3       1184829       645403        126  2021-09-23 12:20:47.394480+02:00   \n",
-       "4       1295770       647301        346  2021-09-28 16:02:29.372608+02:00   \n",
-       "...         ...          ...        ...                               ...   \n",
-       "768019  2737545       666983        345  2021-12-14 14:48:05.456842+01:00   \n",
-       "768020  2737546       666983        346  2021-12-14 14:48:05.465830+01:00   \n",
-       "768021  2737575       666986        346  2021-12-14 23:15:42.757832+01:00   \n",
-       "768022  2737576       666987        345  2021-12-15 00:14:59.018215+01:00   \n",
-       "768023  2737577       666987        346  2021-12-15 00:14:59.029434+01:00   \n",
-       "\n",
-       "                              updated_at  name  extra_field  \n",
-       "0       2021-09-23 09:35:47.617275+02:00   NaN          NaN  \n",
-       "1       2021-09-23 09:35:47.668846+02:00   NaN          NaN  \n",
-       "2       2021-09-23 12:02:51.253269+02:00   NaN          NaN  \n",
-       "3       2021-09-23 12:20:47.394480+02:00   NaN          NaN  \n",
-       "4       2021-09-28 16:02:29.372608+02:00   NaN          NaN  \n",
-       "...                                  ...   ...          ...  \n",
-       "768019  2021-12-14 14:48:05.456842+01:00   NaN          NaN  \n",
-       "768020  2021-12-14 14:48:05.465830+01:00   NaN          NaN  \n",
-       "768021  2021-12-14 23:15:42.757832+01:00   NaN          NaN  \n",
-       "768022  2021-12-15 00:14:59.018215+01:00   NaN          NaN  \n",
-       "768023  2021-12-15 00:14:59.029434+01:00   NaN          NaN  \n",
-       "\n",
-       "[768024 rows x 7 columns]"
-      ]
-     },
-     "execution_count": 74,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df1_customer_target_mappings"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 104,
-   "id": "bcb53207-017c-4c62-ae05-56fbbfbeb3e9",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# change the position of the column target type id\n",
-    "\n",
-    "# Spécifiez le nom de la colonne à déplacer et la colonne après laquelle vous souhaitez la placer\n",
-    "column_to_move = 'target_type_id'\n",
-    "\n",
-    "# Récupérez l'index de la colonne de référence\n",
-    "reference_index = df1_targets_full.columns.get_loc(\"target_type_name\")\n",
-    "\n",
-    "# Créez une copie de la colonne que vous voulez déplacer\n",
-    "column_copy = df1_targets_full[column_to_move].copy()\n",
-    "\n",
-    "# Supprimez la colonne d'origine\n",
-    "df1_targets_full = df1_targets_full.drop(column_to_move, axis=1)\n",
-    "\n",
-    "# Utilisez la méthode insert pour déplacer la colonne à la nouvelle position\n",
-    "df1_targets_full.insert(reference_index - 1, column_to_move, column_copy)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 109,
-   "id": "e3e2b729-c661-44dd-acf3-afdb85353bce",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
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-       "\n",
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-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>target_id</th>\n",
-       "      <th>target_name</th>\n",
-       "      <th>target_created_at</th>\n",
-       "      <th>target_updated_at</th>\n",
-       "      <th>target_type_is_import</th>\n",
-       "      <th>target_type_id</th>\n",
-       "      <th>target_type_name</th>\n",
-       "      <th>target_type_identifier</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>217</td>\n",
-       "      <td>DDCP PROMO Art contemporain - salle de chauffe...</td>\n",
-       "      <td>2021-01-04 15:00:05.401899+01:00</td>\n",
-       "      <td>2021-03-02 18:38:19.025969+01:00</td>\n",
-       "      <td>False</td>\n",
-       "      <td>56</td>\n",
-       "      <td>manual_static_filter</td>\n",
-       "      <td>fb27e81baa4debc6a4e1a8639c20e808</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>701</td>\n",
-       "      <td>consentement optin scolaires</td>\n",
-       "      <td>2021-12-21 16:03:59.840785+01:00</td>\n",
-       "      <td>2022-02-18 17:23:44.761388+01:00</td>\n",
-       "      <td>False</td>\n",
-       "      <td>56</td>\n",
-       "      <td>manual_static_filter</td>\n",
-       "      <td>fb27e81baa4debc6a4e1a8639c20e808</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>134</td>\n",
-       "      <td>DDCP Newsletter jeune public</td>\n",
-       "      <td>2020-11-10 09:43:19.667471+01:00</td>\n",
-       "      <td>2021-03-02 18:38:19.052304+01:00</td>\n",
-       "      <td>False</td>\n",
-       "      <td>56</td>\n",
-       "      <td>manual_static_filter</td>\n",
-       "      <td>fb27e81baa4debc6a4e1a8639c20e808</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>700</td>\n",
-       "      <td>consentement optout scolaires</td>\n",
-       "      <td>2021-12-21 16:01:57.524946+01:00</td>\n",
-       "      <td>2022-02-18 17:23:44.807776+01:00</td>\n",
-       "      <td>False</td>\n",
-       "      <td>56</td>\n",
-       "      <td>manual_static_filter</td>\n",
-       "      <td>fb27e81baa4debc6a4e1a8639c20e808</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>964</td>\n",
-       "      <td>DDCP achat billet nbr dep 19052021</td>\n",
-       "      <td>2022-04-14 10:58:17.142834+02:00</td>\n",
-       "      <td>2022-04-14 10:58:23.677264+02:00</td>\n",
-       "      <td>False</td>\n",
-       "      <td>56</td>\n",
-       "      <td>manual_static_filter</td>\n",
-       "      <td>fb27e81baa4debc6a4e1a8639c20e808</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   target_id                                        target_name  \\\n",
-       "0        217  DDCP PROMO Art contemporain - salle de chauffe...   \n",
-       "1        701                       consentement optin scolaires   \n",
-       "2        134                       DDCP Newsletter jeune public   \n",
-       "3        700                      consentement optout scolaires   \n",
-       "4        964                 DDCP achat billet nbr dep 19052021   \n",
-       "\n",
-       "                  target_created_at                 target_updated_at  \\\n",
-       "0  2021-01-04 15:00:05.401899+01:00  2021-03-02 18:38:19.025969+01:00   \n",
-       "1  2021-12-21 16:03:59.840785+01:00  2022-02-18 17:23:44.761388+01:00   \n",
-       "2  2020-11-10 09:43:19.667471+01:00  2021-03-02 18:38:19.052304+01:00   \n",
-       "3  2021-12-21 16:01:57.524946+01:00  2022-02-18 17:23:44.807776+01:00   \n",
-       "4  2022-04-14 10:58:17.142834+02:00  2022-04-14 10:58:23.677264+02:00   \n",
-       "\n",
-       "   target_type_is_import  target_type_id      target_type_name  \\\n",
-       "0                  False              56  manual_static_filter   \n",
-       "1                  False              56  manual_static_filter   \n",
-       "2                  False              56  manual_static_filter   \n",
-       "3                  False              56  manual_static_filter   \n",
-       "4                  False              56  manual_static_filter   \n",
-       "\n",
-       "             target_type_identifier  \n",
-       "0  fb27e81baa4debc6a4e1a8639c20e808  \n",
-       "1  fb27e81baa4debc6a4e1a8639c20e808  \n",
-       "2  fb27e81baa4debc6a4e1a8639c20e808  \n",
-       "3  fb27e81baa4debc6a4e1a8639c20e808  \n",
-       "4  fb27e81baa4debc6a4e1a8639c20e808  "
-      ]
-     },
-     "execution_count": 109,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df1_targets_full = df1_targets_full.rename(columns=lambda x: 'target_' + x if not x.startswith('target_') else x)\n",
-    "df1_targets_full.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 110,
-   "id": "cda50294-e9f3-4c0e-9172-85fde93efa70",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
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-       "\n",
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-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>id</th>\n",
-       "      <th>customer_id</th>\n",
-       "      <th>target_id</th>\n",
-       "      <th>created_at</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>1184824</td>\n",
-       "      <td>645400</td>\n",
-       "      <td>130</td>\n",
-       "      <td>2021-09-23 09:35:47.617275+02:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>1184825</td>\n",
-       "      <td>645400</td>\n",
-       "      <td>345</td>\n",
-       "      <td>2021-09-23 09:35:47.668846+02:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>1184828</td>\n",
-       "      <td>645402</td>\n",
-       "      <td>126</td>\n",
-       "      <td>2021-09-23 12:02:51.253269+02:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>1184829</td>\n",
-       "      <td>645403</td>\n",
-       "      <td>126</td>\n",
-       "      <td>2021-09-23 12:20:47.394480+02:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>1295770</td>\n",
-       "      <td>647301</td>\n",
-       "      <td>346</td>\n",
-       "      <td>2021-09-28 16:02:29.372608+02:00</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "        id  customer_id  target_id                        created_at\n",
-       "0  1184824       645400        130  2021-09-23 09:35:47.617275+02:00\n",
-       "1  1184825       645400        345  2021-09-23 09:35:47.668846+02:00\n",
-       "2  1184828       645402        126  2021-09-23 12:02:51.253269+02:00\n",
-       "3  1184829       645403        126  2021-09-23 12:20:47.394480+02:00\n",
-       "4  1295770       647301        346  2021-09-28 16:02:29.372608+02:00"
-      ]
-     },
-     "execution_count": 110,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df1_customer_target_mappings[[\"id\", \"customer_id\", \"target_id\", \"created_at\"]].head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 111,
-   "id": "1aaac887-5ea9-4651-8628-920c7d80f120",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
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-       "\n",
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-       "\n",
-       "    .dataframe thead th {\n",
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-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>id</th>\n",
-       "      <th>customer_id</th>\n",
-       "      <th>target_id</th>\n",
-       "      <th>created_at</th>\n",
-       "      <th>target_name</th>\n",
-       "      <th>target_created_at</th>\n",
-       "      <th>target_updated_at</th>\n",
-       "      <th>target_type_is_import</th>\n",
-       "      <th>target_type_id</th>\n",
-       "      <th>target_type_name</th>\n",
-       "      <th>target_type_identifier</th>\n",
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-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>1184824</td>\n",
-       "      <td>645400</td>\n",
-       "      <td>130</td>\n",
-       "      <td>2021-09-23 09:35:47.617275+02:00</td>\n",
-       "      <td>DDCP PROMO Réseau livres</td>\n",
-       "      <td>2020-11-04 18:40:49.500866+01:00</td>\n",
-       "      <td>2021-03-02 18:38:19.084287+01:00</td>\n",
-       "      <td>False</td>\n",
-       "      <td>56</td>\n",
-       "      <td>manual_static_filter</td>\n",
-       "      <td>fb27e81baa4debc6a4e1a8639c20e808</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>1184825</td>\n",
-       "      <td>645400</td>\n",
-       "      <td>345</td>\n",
-       "      <td>2021-09-23 09:35:47.668846+02:00</td>\n",
-       "      <td>Inscrits NL générale site web</td>\n",
-       "      <td>2021-04-16 17:17:26.069199+02:00</td>\n",
-       "      <td>2021-04-16 17:17:26.069199+02:00</td>\n",
-       "      <td>False</td>\n",
-       "      <td>56</td>\n",
-       "      <td>manual_static_filter</td>\n",
-       "      <td>fb27e81baa4debc6a4e1a8639c20e808</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>1184828</td>\n",
-       "      <td>645402</td>\n",
-       "      <td>126</td>\n",
-       "      <td>2021-09-23 12:02:51.253269+02:00</td>\n",
-       "      <td>DDCP PROMO Art contemporain</td>\n",
-       "      <td>2020-11-04 18:38:53.016572+01:00</td>\n",
-       "      <td>2021-04-16 17:17:25.850107+02:00</td>\n",
-       "      <td>False</td>\n",
-       "      <td>56</td>\n",
-       "      <td>manual_static_filter</td>\n",
-       "      <td>fb27e81baa4debc6a4e1a8639c20e808</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>1184829</td>\n",
-       "      <td>645403</td>\n",
-       "      <td>126</td>\n",
-       "      <td>2021-09-23 12:20:47.394480+02:00</td>\n",
-       "      <td>DDCP PROMO Art contemporain</td>\n",
-       "      <td>2020-11-04 18:38:53.016572+01:00</td>\n",
-       "      <td>2021-04-16 17:17:25.850107+02:00</td>\n",
-       "      <td>False</td>\n",
-       "      <td>56</td>\n",
-       "      <td>manual_static_filter</td>\n",
-       "      <td>fb27e81baa4debc6a4e1a8639c20e808</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>1295770</td>\n",
-       "      <td>647301</td>\n",
-       "      <td>346</td>\n",
-       "      <td>2021-09-28 16:02:29.372608+02:00</td>\n",
-       "      <td>Votre première liste</td>\n",
-       "      <td>2021-04-16 17:17:26.080378+02:00</td>\n",
-       "      <td>2021-04-16 17:17:26.080378+02:00</td>\n",
-       "      <td>False</td>\n",
-       "      <td>56</td>\n",
-       "      <td>manual_static_filter</td>\n",
-       "      <td>fb27e81baa4debc6a4e1a8639c20e808</td>\n",
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-       "    <tr>\n",
-       "      <th>...</th>\n",
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-       "      <td>...</td>\n",
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-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
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-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
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-       "    <tr>\n",
-       "      <th>768019</th>\n",
-       "      <td>2737545</td>\n",
-       "      <td>666983</td>\n",
-       "      <td>345</td>\n",
-       "      <td>2021-12-14 14:48:05.456842+01:00</td>\n",
-       "      <td>Inscrits NL générale site web</td>\n",
-       "      <td>2021-04-16 17:17:26.069199+02:00</td>\n",
-       "      <td>2021-04-16 17:17:26.069199+02:00</td>\n",
-       "      <td>False</td>\n",
-       "      <td>56</td>\n",
-       "      <td>manual_static_filter</td>\n",
-       "      <td>fb27e81baa4debc6a4e1a8639c20e808</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>768020</th>\n",
-       "      <td>2737546</td>\n",
-       "      <td>666983</td>\n",
-       "      <td>346</td>\n",
-       "      <td>2021-12-14 14:48:05.465830+01:00</td>\n",
-       "      <td>Votre première liste</td>\n",
-       "      <td>2021-04-16 17:17:26.080378+02:00</td>\n",
-       "      <td>2021-04-16 17:17:26.080378+02:00</td>\n",
-       "      <td>False</td>\n",
-       "      <td>56</td>\n",
-       "      <td>manual_static_filter</td>\n",
-       "      <td>fb27e81baa4debc6a4e1a8639c20e808</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>768021</th>\n",
-       "      <td>2737575</td>\n",
-       "      <td>666986</td>\n",
-       "      <td>346</td>\n",
-       "      <td>2021-12-14 23:15:42.757832+01:00</td>\n",
-       "      <td>Votre première liste</td>\n",
-       "      <td>2021-04-16 17:17:26.080378+02:00</td>\n",
-       "      <td>2021-04-16 17:17:26.080378+02:00</td>\n",
-       "      <td>False</td>\n",
-       "      <td>56</td>\n",
-       "      <td>manual_static_filter</td>\n",
-       "      <td>fb27e81baa4debc6a4e1a8639c20e808</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>768022</th>\n",
-       "      <td>2737576</td>\n",
-       "      <td>666987</td>\n",
-       "      <td>345</td>\n",
-       "      <td>2021-12-15 00:14:59.018215+01:00</td>\n",
-       "      <td>Inscrits NL générale site web</td>\n",
-       "      <td>2021-04-16 17:17:26.069199+02:00</td>\n",
-       "      <td>2021-04-16 17:17:26.069199+02:00</td>\n",
-       "      <td>False</td>\n",
-       "      <td>56</td>\n",
-       "      <td>manual_static_filter</td>\n",
-       "      <td>fb27e81baa4debc6a4e1a8639c20e808</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>768023</th>\n",
-       "      <td>2737577</td>\n",
-       "      <td>666987</td>\n",
-       "      <td>346</td>\n",
-       "      <td>2021-12-15 00:14:59.029434+01:00</td>\n",
-       "      <td>Votre première liste</td>\n",
-       "      <td>2021-04-16 17:17:26.080378+02:00</td>\n",
-       "      <td>2021-04-16 17:17:26.080378+02:00</td>\n",
-       "      <td>False</td>\n",
-       "      <td>56</td>\n",
-       "      <td>manual_static_filter</td>\n",
-       "      <td>fb27e81baa4debc6a4e1a8639c20e808</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>768024 rows × 11 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "             id  customer_id  target_id                        created_at  \\\n",
-       "0       1184824       645400        130  2021-09-23 09:35:47.617275+02:00   \n",
-       "1       1184825       645400        345  2021-09-23 09:35:47.668846+02:00   \n",
-       "2       1184828       645402        126  2021-09-23 12:02:51.253269+02:00   \n",
-       "3       1184829       645403        126  2021-09-23 12:20:47.394480+02:00   \n",
-       "4       1295770       647301        346  2021-09-28 16:02:29.372608+02:00   \n",
-       "...         ...          ...        ...                               ...   \n",
-       "768019  2737545       666983        345  2021-12-14 14:48:05.456842+01:00   \n",
-       "768020  2737546       666983        346  2021-12-14 14:48:05.465830+01:00   \n",
-       "768021  2737575       666986        346  2021-12-14 23:15:42.757832+01:00   \n",
-       "768022  2737576       666987        345  2021-12-15 00:14:59.018215+01:00   \n",
-       "768023  2737577       666987        346  2021-12-15 00:14:59.029434+01:00   \n",
-       "\n",
-       "                          target_name                 target_created_at  \\\n",
-       "0            DDCP PROMO Réseau livres  2020-11-04 18:40:49.500866+01:00   \n",
-       "1       Inscrits NL générale site web  2021-04-16 17:17:26.069199+02:00   \n",
-       "2         DDCP PROMO Art contemporain  2020-11-04 18:38:53.016572+01:00   \n",
-       "3         DDCP PROMO Art contemporain  2020-11-04 18:38:53.016572+01:00   \n",
-       "4                Votre première liste  2021-04-16 17:17:26.080378+02:00   \n",
-       "...                               ...                               ...   \n",
-       "768019  Inscrits NL générale site web  2021-04-16 17:17:26.069199+02:00   \n",
-       "768020           Votre première liste  2021-04-16 17:17:26.080378+02:00   \n",
-       "768021           Votre première liste  2021-04-16 17:17:26.080378+02:00   \n",
-       "768022  Inscrits NL générale site web  2021-04-16 17:17:26.069199+02:00   \n",
-       "768023           Votre première liste  2021-04-16 17:17:26.080378+02:00   \n",
-       "\n",
-       "                       target_updated_at  target_type_is_import  \\\n",
-       "0       2021-03-02 18:38:19.084287+01:00                  False   \n",
-       "1       2021-04-16 17:17:26.069199+02:00                  False   \n",
-       "2       2021-04-16 17:17:25.850107+02:00                  False   \n",
-       "3       2021-04-16 17:17:25.850107+02:00                  False   \n",
-       "4       2021-04-16 17:17:26.080378+02:00                  False   \n",
-       "...                                  ...                    ...   \n",
-       "768019  2021-04-16 17:17:26.069199+02:00                  False   \n",
-       "768020  2021-04-16 17:17:26.080378+02:00                  False   \n",
-       "768021  2021-04-16 17:17:26.080378+02:00                  False   \n",
-       "768022  2021-04-16 17:17:26.069199+02:00                  False   \n",
-       "768023  2021-04-16 17:17:26.080378+02:00                  False   \n",
-       "\n",
-       "        target_type_id      target_type_name            target_type_identifier  \n",
-       "0                   56  manual_static_filter  fb27e81baa4debc6a4e1a8639c20e808  \n",
-       "1                   56  manual_static_filter  fb27e81baa4debc6a4e1a8639c20e808  \n",
-       "2                   56  manual_static_filter  fb27e81baa4debc6a4e1a8639c20e808  \n",
-       "3                   56  manual_static_filter  fb27e81baa4debc6a4e1a8639c20e808  \n",
-       "4                   56  manual_static_filter  fb27e81baa4debc6a4e1a8639c20e808  \n",
-       "...                ...                   ...                               ...  \n",
-       "768019              56  manual_static_filter  fb27e81baa4debc6a4e1a8639c20e808  \n",
-       "768020              56  manual_static_filter  fb27e81baa4debc6a4e1a8639c20e808  \n",
-       "768021              56  manual_static_filter  fb27e81baa4debc6a4e1a8639c20e808  \n",
-       "768022              56  manual_static_filter  fb27e81baa4debc6a4e1a8639c20e808  \n",
-       "768023              56  manual_static_filter  fb27e81baa4debc6a4e1a8639c20e808  \n",
-       "\n",
-       "[768024 rows x 11 columns]"
-      ]
-     },
-     "execution_count": 111,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# finally, merge\n",
-    "\n",
-    "# pour df1_customer_target_mappings on enlève les colonnes name, extra_field, et updated_at (valeur égale à created_at)\n",
-    "# note : by making a left join on df1_customer_target_mappings, we suppress 2 targets that have no customer associated\n",
-    "\n",
-    "df1_customer_targets = pd.merge(df1_customer_target_mappings[[\"id\", \"customer_id\", \"target_id\", \"created_at\"]], \n",
-    "                                df1_targets_full, left_on='target_id', right_on='target_id', how='left')\n",
-    "df1_customer_targets"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 138,
-   "id": "95657bda-d060-48ca-8217-3e3f119028c1",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
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-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>id</th>\n",
-       "      <th>customer_id</th>\n",
-       "      <th>target_id</th>\n",
-       "      <th>created_at</th>\n",
-       "      <th>target_name</th>\n",
-       "      <th>target_created_at</th>\n",
-       "      <th>target_updated_at</th>\n",
-       "      <th>target_type_is_import</th>\n",
-       "      <th>target_type_id</th>\n",
-       "      <th>target_type_name</th>\n",
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-       "      <td>1184824</td>\n",
-       "      <td>645400</td>\n",
-       "      <td>130</td>\n",
-       "      <td>2021-09-23 09:35:47.617275+02:00</td>\n",
-       "      <td>DDCP PROMO Réseau livres</td>\n",
-       "      <td>2020-11-04 18:40:49.500866+01:00</td>\n",
-       "      <td>2021-03-02 18:38:19.084287+01:00</td>\n",
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-       "      <td>345</td>\n",
-       "      <td>2021-09-23 09:35:47.668846+02:00</td>\n",
-       "      <td>Inscrits NL générale site web</td>\n",
-       "      <td>2021-04-16 17:17:26.069199+02:00</td>\n",
-       "      <td>2021-04-16 17:17:26.069199+02:00</td>\n",
-       "      <td>False</td>\n",
-       "      <td>56</td>\n",
-       "      <td>manual_static_filter</td>\n",
-       "      <td>fb27e81baa4debc6a4e1a8639c20e808</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>1184828</td>\n",
-       "      <td>645402</td>\n",
-       "      <td>126</td>\n",
-       "      <td>2021-09-23 12:02:51.253269+02:00</td>\n",
-       "      <td>DDCP PROMO Art contemporain</td>\n",
-       "      <td>2020-11-04 18:38:53.016572+01:00</td>\n",
-       "      <td>2021-04-16 17:17:25.850107+02:00</td>\n",
-       "      <td>False</td>\n",
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-       "      <td>manual_static_filter</td>\n",
-       "      <td>fb27e81baa4debc6a4e1a8639c20e808</td>\n",
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-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>1184829</td>\n",
-       "      <td>645403</td>\n",
-       "      <td>126</td>\n",
-       "      <td>2021-09-23 12:20:47.394480+02:00</td>\n",
-       "      <td>DDCP PROMO Art contemporain</td>\n",
-       "      <td>2020-11-04 18:38:53.016572+01:00</td>\n",
-       "      <td>2021-04-16 17:17:25.850107+02:00</td>\n",
-       "      <td>False</td>\n",
-       "      <td>56</td>\n",
-       "      <td>manual_static_filter</td>\n",
-       "      <td>fb27e81baa4debc6a4e1a8639c20e808</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>1295770</td>\n",
-       "      <td>647301</td>\n",
-       "      <td>346</td>\n",
-       "      <td>2021-09-28 16:02:29.372608+02:00</td>\n",
-       "      <td>Votre première liste</td>\n",
-       "      <td>2021-04-16 17:17:26.080378+02:00</td>\n",
-       "      <td>2021-04-16 17:17:26.080378+02:00</td>\n",
-       "      <td>False</td>\n",
-       "      <td>56</td>\n",
-       "      <td>manual_static_filter</td>\n",
-       "      <td>fb27e81baa4debc6a4e1a8639c20e808</td>\n",
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-       "      <th>768019</th>\n",
-       "      <td>2737545</td>\n",
-       "      <td>666983</td>\n",
-       "      <td>345</td>\n",
-       "      <td>2021-12-14 14:48:05.456842+01:00</td>\n",
-       "      <td>Inscrits NL générale site web</td>\n",
-       "      <td>2021-04-16 17:17:26.069199+02:00</td>\n",
-       "      <td>2021-04-16 17:17:26.069199+02:00</td>\n",
-       "      <td>False</td>\n",
-       "      <td>56</td>\n",
-       "      <td>manual_static_filter</td>\n",
-       "      <td>fb27e81baa4debc6a4e1a8639c20e808</td>\n",
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-       "    <tr>\n",
-       "      <th>768020</th>\n",
-       "      <td>2737546</td>\n",
-       "      <td>666983</td>\n",
-       "      <td>346</td>\n",
-       "      <td>2021-12-14 14:48:05.465830+01:00</td>\n",
-       "      <td>Votre première liste</td>\n",
-       "      <td>2021-04-16 17:17:26.080378+02:00</td>\n",
-       "      <td>2021-04-16 17:17:26.080378+02:00</td>\n",
-       "      <td>False</td>\n",
-       "      <td>56</td>\n",
-       "      <td>manual_static_filter</td>\n",
-       "      <td>fb27e81baa4debc6a4e1a8639c20e808</td>\n",
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-       "    <tr>\n",
-       "      <th>768021</th>\n",
-       "      <td>2737575</td>\n",
-       "      <td>666986</td>\n",
-       "      <td>346</td>\n",
-       "      <td>2021-12-14 23:15:42.757832+01:00</td>\n",
-       "      <td>Votre première liste</td>\n",
-       "      <td>2021-04-16 17:17:26.080378+02:00</td>\n",
-       "      <td>2021-04-16 17:17:26.080378+02:00</td>\n",
-       "      <td>False</td>\n",
-       "      <td>56</td>\n",
-       "      <td>manual_static_filter</td>\n",
-       "      <td>fb27e81baa4debc6a4e1a8639c20e808</td>\n",
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-       "      <td>2737576</td>\n",
-       "      <td>666987</td>\n",
-       "      <td>345</td>\n",
-       "      <td>2021-12-15 00:14:59.018215+01:00</td>\n",
-       "      <td>Inscrits NL générale site web</td>\n",
-       "      <td>2021-04-16 17:17:26.069199+02:00</td>\n",
-       "      <td>2021-04-16 17:17:26.069199+02:00</td>\n",
-       "      <td>False</td>\n",
-       "      <td>56</td>\n",
-       "      <td>manual_static_filter</td>\n",
-       "      <td>fb27e81baa4debc6a4e1a8639c20e808</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>768023</th>\n",
-       "      <td>2737577</td>\n",
-       "      <td>666987</td>\n",
-       "      <td>346</td>\n",
-       "      <td>2021-12-15 00:14:59.029434+01:00</td>\n",
-       "      <td>Votre première liste</td>\n",
-       "      <td>2021-04-16 17:17:26.080378+02:00</td>\n",
-       "      <td>2021-04-16 17:17:26.080378+02:00</td>\n",
-       "      <td>False</td>\n",
-       "      <td>56</td>\n",
-       "      <td>manual_static_filter</td>\n",
-       "      <td>fb27e81baa4debc6a4e1a8639c20e808</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>768024 rows × 11 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "             id  customer_id  target_id                        created_at  \\\n",
-       "0       1184824       645400        130  2021-09-23 09:35:47.617275+02:00   \n",
-       "1       1184825       645400        345  2021-09-23 09:35:47.668846+02:00   \n",
-       "2       1184828       645402        126  2021-09-23 12:02:51.253269+02:00   \n",
-       "3       1184829       645403        126  2021-09-23 12:20:47.394480+02:00   \n",
-       "4       1295770       647301        346  2021-09-28 16:02:29.372608+02:00   \n",
-       "...         ...          ...        ...                               ...   \n",
-       "768019  2737545       666983        345  2021-12-14 14:48:05.456842+01:00   \n",
-       "768020  2737546       666983        346  2021-12-14 14:48:05.465830+01:00   \n",
-       "768021  2737575       666986        346  2021-12-14 23:15:42.757832+01:00   \n",
-       "768022  2737576       666987        345  2021-12-15 00:14:59.018215+01:00   \n",
-       "768023  2737577       666987        346  2021-12-15 00:14:59.029434+01:00   \n",
-       "\n",
-       "                          target_name                 target_created_at  \\\n",
-       "0            DDCP PROMO Réseau livres  2020-11-04 18:40:49.500866+01:00   \n",
-       "1       Inscrits NL générale site web  2021-04-16 17:17:26.069199+02:00   \n",
-       "2         DDCP PROMO Art contemporain  2020-11-04 18:38:53.016572+01:00   \n",
-       "3         DDCP PROMO Art contemporain  2020-11-04 18:38:53.016572+01:00   \n",
-       "4                Votre première liste  2021-04-16 17:17:26.080378+02:00   \n",
-       "...                               ...                               ...   \n",
-       "768019  Inscrits NL générale site web  2021-04-16 17:17:26.069199+02:00   \n",
-       "768020           Votre première liste  2021-04-16 17:17:26.080378+02:00   \n",
-       "768021           Votre première liste  2021-04-16 17:17:26.080378+02:00   \n",
-       "768022  Inscrits NL générale site web  2021-04-16 17:17:26.069199+02:00   \n",
-       "768023           Votre première liste  2021-04-16 17:17:26.080378+02:00   \n",
-       "\n",
-       "                       target_updated_at  target_type_is_import  \\\n",
-       "0       2021-03-02 18:38:19.084287+01:00                  False   \n",
-       "1       2021-04-16 17:17:26.069199+02:00                  False   \n",
-       "2       2021-04-16 17:17:25.850107+02:00                  False   \n",
-       "3       2021-04-16 17:17:25.850107+02:00                  False   \n",
-       "4       2021-04-16 17:17:26.080378+02:00                  False   \n",
-       "...                                  ...                    ...   \n",
-       "768019  2021-04-16 17:17:26.069199+02:00                  False   \n",
-       "768020  2021-04-16 17:17:26.080378+02:00                  False   \n",
-       "768021  2021-04-16 17:17:26.080378+02:00                  False   \n",
-       "768022  2021-04-16 17:17:26.069199+02:00                  False   \n",
-       "768023  2021-04-16 17:17:26.080378+02:00                  False   \n",
-       "\n",
-       "        target_type_id      target_type_name            target_type_identifier  \n",
-       "0                   56  manual_static_filter  fb27e81baa4debc6a4e1a8639c20e808  \n",
-       "1                   56  manual_static_filter  fb27e81baa4debc6a4e1a8639c20e808  \n",
-       "2                   56  manual_static_filter  fb27e81baa4debc6a4e1a8639c20e808  \n",
-       "3                   56  manual_static_filter  fb27e81baa4debc6a4e1a8639c20e808  \n",
-       "4                   56  manual_static_filter  fb27e81baa4debc6a4e1a8639c20e808  \n",
-       "...                ...                   ...                               ...  \n",
-       "768019              56  manual_static_filter  fb27e81baa4debc6a4e1a8639c20e808  \n",
-       "768020              56  manual_static_filter  fb27e81baa4debc6a4e1a8639c20e808  \n",
-       "768021              56  manual_static_filter  fb27e81baa4debc6a4e1a8639c20e808  \n",
-       "768022              56  manual_static_filter  fb27e81baa4debc6a4e1a8639c20e808  \n",
-       "768023              56  manual_static_filter  fb27e81baa4debc6a4e1a8639c20e808  \n",
-       "\n",
-       "[768024 rows x 11 columns]"
-      ]
-     },
-     "execution_count": 138,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# rq : on dirait que la date de création des targets est à peine inférieure à la date minimum de création des targets des customers \n",
-    "# idée : les targets sont créées puis envoyées aux clients, d'où un léger délai \n",
-    "# mais question substiste : pourquoi les clients ne reçoivent-ils pas la target en même temps ? \n",
-    "\n",
-    "# vérifions que la date de création de la target est tjrs inférieure à la date de création minimum pour tous les clients ayant reçu la target\n",
-    "\n",
-    "# first step : convert strings into dates\n",
-    "\n",
-    "df1_customer_targets[\"created_at\"] = df1_customer_targets[\"created_at\"].apply(lambda x : datetime.strptime(str(x), \"%Y-%m-%d %H:%M:%S.%f%z\") if pd.notna(x) else pd.NaT)\n",
-    "df1_customer_targets[\"target_created_at\"] = df1_customer_targets[\"target_created_at\"].apply(lambda x : datetime.strptime(str(x), \"%Y-%m-%d %H:%M:%S.%f%z\") if pd.notna(x) else pd.NaT)\n",
-    "df1_customer_targets[\"target_updated_at\"] = df1_customer_targets[\"target_updated_at\"].apply(lambda x : datetime.strptime(str(x), \"%Y-%m-%d %H:%M:%S.%f%z\") if pd.notna(x) else pd.NaT)\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 144,
-   "id": "58b22fab-d13d-456a-8250-1da035572fe9",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "target_id\n",
-       "116     0 days 00:00:00.949028\n",
-       "117     0 days 00:00:00.037337\n",
-       "119     0 days 00:00:00.024423\n",
-       "120     0 days 00:00:00.058732\n",
-       "122     0 days 00:00:00.027283\n",
-       "                 ...          \n",
-       "2779    0 days 00:00:19.087958\n",
-       "2788    0 days 00:01:36.372927\n",
-       "2825    0 days 00:00:00.028771\n",
-       "2830    0 days 00:00:01.587058\n",
-       "2833    0 days 00:00:00.031071\n",
-       "Name: creation_delay, Length: 283, dtype: object"
-      ]
-     },
-     "execution_count": 144,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# second step : compute delay and minimum by target\n",
-    "\n",
-    "df1_customer_targets[\"creation_delay\"] = df1_customer_targets[\"created_at\"] -df1_customer_targets[\"target_created_at\"]\n",
-    "\n",
-    "\n",
-    "df1_customer_targets.groupby(\"target_id\")[\"creation_delay\"].min()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 148,
-   "id": "4b5c8f3e-9227-466c-a4c0-2280864a5036",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "0 days 00:00:00.009293\n",
-      "686 days 23:14:10.435866\n"
-     ]
-    }
-   ],
-   "source": [
-    "print(df1_customer_targets.groupby(\"target_id\")[\"creation_delay\"].min().min())\n",
-    "print((df1_customer_targets.groupby(\"target_id\")[\"creation_delay\"].min()).max())"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 153,
-   "id": "41e4040c-45a0-41ac-be91-4c86ef5ab1a8",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "target_id\n",
-       "335     285 days 22:56:30.356536\n",
-       "339      86 days 21:34:19.282253\n",
-       "469       7 days 07:24:03.446563\n",
-       "490       3 days 16:28:38.068677\n",
-       "502       7 days 20:15:19.326651\n",
-       "515       1 days 22:49:33.761856\n",
-       "517      76 days 00:41:25.366394\n",
-       "528      26 days 06:17:44.689111\n",
-       "529       6 days 02:41:29.617761\n",
-       "530       1 days 04:34:33.843116\n",
-       "642     219 days 16:50:10.816034\n",
-       "695     668 days 03:31:22.896313\n",
-       "697      58 days 20:26:26.744823\n",
-       "699     686 days 23:14:10.435866\n",
-       "786     625 days 14:47:48.797084\n",
-       "1747     14 days 04:08:24.295840\n",
-       "2094    239 days 15:13:18.681637\n",
-       "2321    167 days 21:19:37.490219\n",
-       "Name: creation_delay, dtype: object"
-      ]
-     },
-     "execution_count": 153,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# glt, le délai création de la target - création pour le premier client est très court, envoi quasi instantanné\n",
-    "# mais parfois, le délai est très long, plus d'une année pour les cas extrêmes\n",
-    "\n",
-    "min_target_delay = df1_customer_targets.groupby(\"target_id\")[\"creation_delay\"].min()\n",
-    "min_target_delay[min_target_delay > timedelta(days=1)]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 155,
-   "id": "ffb2d1be-b1cb-4285-9584-d96ffeee146e",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "target_type_id\n",
-       "1     0 days 00:00:06.490151\n",
-       "56    0 days 00:00:00.009293\n",
-       "69    0 days 00:00:00.032269\n",
-       "Name: creation_delay, dtype: object"
-      ]
-     },
-     "execution_count": 155,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df1_customer_targets.groupby(\"target_type_id\")[\"creation_delay\"].min() # les target de type 1 ont un plus grd délai"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 159,
-   "id": "44d5a1f5-0691-43de-bb9f-9915830bbb77",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[56 69  1]\n",
-      "[56 69  1]\n"
-     ]
-    }
-   ],
-   "source": [
-    "print(df1_customer_targets[\"target_type_id\"].unique())\n",
-    "print(df1_targets[\"target_type_id\"].unique()) # rq : slt 3 types de target sur les 4 sont dans la table"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 165,
-   "id": "3a21df0d-0199-45d7-9019-e69dab67c9a8",
-   "metadata": {},
-   "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>id</th>\n",
-       "      <th>customer_id</th>\n",
-       "      <th>target_id</th>\n",
-       "      <th>created_at</th>\n",
-       "      <th>target_name</th>\n",
-       "      <th>target_created_at</th>\n",
-       "      <th>target_updated_at</th>\n",
-       "      <th>target_type_is_import</th>\n",
-       "      <th>target_type_id</th>\n",
-       "      <th>target_type_name</th>\n",
-       "      <th>target_type_identifier</th>\n",
-       "      <th>creation_delay</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>1184824</td>\n",
-       "      <td>645400</td>\n",
-       "      <td>130</td>\n",
-       "      <td>2021-09-23 09:35:47.617275+02:00</td>\n",
-       "      <td>DDCP PROMO Réseau livres</td>\n",
-       "      <td>2020-11-04 18:40:49.500866+01:00</td>\n",
-       "      <td>2021-03-02 18:38:19.084287+01:00</td>\n",
-       "      <td>False</td>\n",
-       "      <td>56</td>\n",
-       "      <td>manual_static_filter</td>\n",
-       "      <td>fb27e81baa4debc6a4e1a8639c20e808</td>\n",
-       "      <td>322 days, 13:54:58.116409</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>1184825</td>\n",
-       "      <td>645400</td>\n",
-       "      <td>345</td>\n",
-       "      <td>2021-09-23 09:35:47.668846+02:00</td>\n",
-       "      <td>Inscrits NL générale site web</td>\n",
-       "      <td>2021-04-16 17:17:26.069199+02:00</td>\n",
-       "      <td>2021-04-16 17:17:26.069199+02:00</td>\n",
-       "      <td>False</td>\n",
-       "      <td>56</td>\n",
-       "      <td>manual_static_filter</td>\n",
-       "      <td>fb27e81baa4debc6a4e1a8639c20e808</td>\n",
-       "      <td>159 days, 16:18:21.599647</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>1184828</td>\n",
-       "      <td>645402</td>\n",
-       "      <td>126</td>\n",
-       "      <td>2021-09-23 12:02:51.253269+02:00</td>\n",
-       "      <td>DDCP PROMO Art contemporain</td>\n",
-       "      <td>2020-11-04 18:38:53.016572+01:00</td>\n",
-       "      <td>2021-04-16 17:17:25.850107+02:00</td>\n",
-       "      <td>False</td>\n",
-       "      <td>56</td>\n",
-       "      <td>manual_static_filter</td>\n",
-       "      <td>fb27e81baa4debc6a4e1a8639c20e808</td>\n",
-       "      <td>322 days, 16:23:58.236697</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>1184829</td>\n",
-       "      <td>645403</td>\n",
-       "      <td>126</td>\n",
-       "      <td>2021-09-23 12:20:47.394480+02:00</td>\n",
-       "      <td>DDCP PROMO Art contemporain</td>\n",
-       "      <td>2020-11-04 18:38:53.016572+01:00</td>\n",
-       "      <td>2021-04-16 17:17:25.850107+02:00</td>\n",
-       "      <td>False</td>\n",
-       "      <td>56</td>\n",
-       "      <td>manual_static_filter</td>\n",
-       "      <td>fb27e81baa4debc6a4e1a8639c20e808</td>\n",
-       "      <td>322 days, 16:41:54.377908</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>1295770</td>\n",
-       "      <td>647301</td>\n",
-       "      <td>346</td>\n",
-       "      <td>2021-09-28 16:02:29.372608+02:00</td>\n",
-       "      <td>Votre première liste</td>\n",
-       "      <td>2021-04-16 17:17:26.080378+02:00</td>\n",
-       "      <td>2021-04-16 17:17:26.080378+02:00</td>\n",
-       "      <td>False</td>\n",
-       "      <td>56</td>\n",
-       "      <td>manual_static_filter</td>\n",
-       "      <td>fb27e81baa4debc6a4e1a8639c20e808</td>\n",
-       "      <td>164 days, 22:45:03.292230</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>1184833</td>\n",
-       "      <td>645627</td>\n",
-       "      <td>398</td>\n",
-       "      <td>2021-09-24 18:16:33.432760+02:00</td>\n",
-       "      <td>DDCP PROMO MD participants ateliers yoga</td>\n",
-       "      <td>2021-05-26 10:54:12.232999+02:00</td>\n",
-       "      <td>2021-05-26 10:54:22.378253+02:00</td>\n",
-       "      <td>False</td>\n",
-       "      <td>69</td>\n",
-       "      <td>manual_dynamic_filter</td>\n",
-       "      <td>e0f4b8693184850fefd6d2a38f10584e</td>\n",
-       "      <td>121 days, 7:22:21.199761</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>4452818</td>\n",
-       "      <td>1208736</td>\n",
-       "      <td>631</td>\n",
-       "      <td>2023-05-06 03:29:43.875970+02:00</td>\n",
-       "      <td>consentement optin b2b</td>\n",
-       "      <td>2021-11-30 10:03:37.430645+01:00</td>\n",
-       "      <td>2022-02-18 17:21:30.653027+01:00</td>\n",
-       "      <td>False</td>\n",
-       "      <td>56</td>\n",
-       "      <td>manual_static_filter</td>\n",
-       "      <td>fb27e81baa4debc6a4e1a8639c20e808</td>\n",
-       "      <td>521 days, 16:26:06.445325</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>4291702</td>\n",
-       "      <td>1155845</td>\n",
-       "      <td>502</td>\n",
-       "      <td>2022-09-28 12:55:36.843316+02:00</td>\n",
-       "      <td>Automation_parrainage_newsletter_générale</td>\n",
-       "      <td>2021-08-10 15:25:56.142538+02:00</td>\n",
-       "      <td>2021-08-10 15:26:06.275964+02:00</td>\n",
-       "      <td>False</td>\n",
-       "      <td>56</td>\n",
-       "      <td>manual_static_filter</td>\n",
-       "      <td>fb27e81baa4debc6a4e1a8639c20e808</td>\n",
-       "      <td>413 days, 21:29:40.700778</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>4096406</td>\n",
-       "      <td>1121651</td>\n",
-       "      <td>469</td>\n",
-       "      <td>2022-07-31 11:45:19.694236+02:00</td>\n",
-       "      <td>RI Newsletter Alexandrie (inscriptions formula...</td>\n",
-       "      <td>2021-07-08 11:31:10.246495+02:00</td>\n",
-       "      <td>2022-01-26 12:14:17.941253+01:00</td>\n",
-       "      <td>False</td>\n",
-       "      <td>56</td>\n",
-       "      <td>manual_static_filter</td>\n",
-       "      <td>fb27e81baa4debc6a4e1a8639c20e808</td>\n",
-       "      <td>388 days, 0:14:09.447741</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>4452824</td>\n",
-       "      <td>1208742</td>\n",
-       "      <td>631</td>\n",
-       "      <td>2023-05-06 03:29:43.901323+02:00</td>\n",
-       "      <td>consentement optin b2b</td>\n",
-       "      <td>2021-11-30 10:03:37.430645+01:00</td>\n",
-       "      <td>2022-02-18 17:21:30.653027+01:00</td>\n",
-       "      <td>False</td>\n",
-       "      <td>56</td>\n",
-       "      <td>manual_static_filter</td>\n",
-       "      <td>fb27e81baa4debc6a4e1a8639c20e808</td>\n",
-       "      <td>521 days, 16:26:06.470678</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "        id  customer_id  target_id                        created_at  \\\n",
-       "0  1184824       645400        130  2021-09-23 09:35:47.617275+02:00   \n",
-       "1  1184825       645400        345  2021-09-23 09:35:47.668846+02:00   \n",
-       "2  1184828       645402        126  2021-09-23 12:02:51.253269+02:00   \n",
-       "3  1184829       645403        126  2021-09-23 12:20:47.394480+02:00   \n",
-       "4  1295770       647301        346  2021-09-28 16:02:29.372608+02:00   \n",
-       "5  1184833       645627        398  2021-09-24 18:16:33.432760+02:00   \n",
-       "6  4452818      1208736        631  2023-05-06 03:29:43.875970+02:00   \n",
-       "7  4291702      1155845        502  2022-09-28 12:55:36.843316+02:00   \n",
-       "8  4096406      1121651        469  2022-07-31 11:45:19.694236+02:00   \n",
-       "9  4452824      1208742        631  2023-05-06 03:29:43.901323+02:00   \n",
-       "\n",
-       "                                         target_name  \\\n",
-       "0                           DDCP PROMO Réseau livres   \n",
-       "1                      Inscrits NL générale site web   \n",
-       "2                        DDCP PROMO Art contemporain   \n",
-       "3                        DDCP PROMO Art contemporain   \n",
-       "4                               Votre première liste   \n",
-       "5           DDCP PROMO MD participants ateliers yoga   \n",
-       "6                             consentement optin b2b   \n",
-       "7          Automation_parrainage_newsletter_générale   \n",
-       "8  RI Newsletter Alexandrie (inscriptions formula...   \n",
-       "9                             consentement optin b2b   \n",
-       "\n",
-       "                  target_created_at                 target_updated_at  \\\n",
-       "0  2020-11-04 18:40:49.500866+01:00  2021-03-02 18:38:19.084287+01:00   \n",
-       "1  2021-04-16 17:17:26.069199+02:00  2021-04-16 17:17:26.069199+02:00   \n",
-       "2  2020-11-04 18:38:53.016572+01:00  2021-04-16 17:17:25.850107+02:00   \n",
-       "3  2020-11-04 18:38:53.016572+01:00  2021-04-16 17:17:25.850107+02:00   \n",
-       "4  2021-04-16 17:17:26.080378+02:00  2021-04-16 17:17:26.080378+02:00   \n",
-       "5  2021-05-26 10:54:12.232999+02:00  2021-05-26 10:54:22.378253+02:00   \n",
-       "6  2021-11-30 10:03:37.430645+01:00  2022-02-18 17:21:30.653027+01:00   \n",
-       "7  2021-08-10 15:25:56.142538+02:00  2021-08-10 15:26:06.275964+02:00   \n",
-       "8  2021-07-08 11:31:10.246495+02:00  2022-01-26 12:14:17.941253+01:00   \n",
-       "9  2021-11-30 10:03:37.430645+01:00  2022-02-18 17:21:30.653027+01:00   \n",
-       "\n",
-       "   target_type_is_import  target_type_id       target_type_name  \\\n",
-       "0                  False              56   manual_static_filter   \n",
-       "1                  False              56   manual_static_filter   \n",
-       "2                  False              56   manual_static_filter   \n",
-       "3                  False              56   manual_static_filter   \n",
-       "4                  False              56   manual_static_filter   \n",
-       "5                  False              69  manual_dynamic_filter   \n",
-       "6                  False              56   manual_static_filter   \n",
-       "7                  False              56   manual_static_filter   \n",
-       "8                  False              56   manual_static_filter   \n",
-       "9                  False              56   manual_static_filter   \n",
-       "\n",
-       "             target_type_identifier             creation_delay  \n",
-       "0  fb27e81baa4debc6a4e1a8639c20e808  322 days, 13:54:58.116409  \n",
-       "1  fb27e81baa4debc6a4e1a8639c20e808  159 days, 16:18:21.599647  \n",
-       "2  fb27e81baa4debc6a4e1a8639c20e808  322 days, 16:23:58.236697  \n",
-       "3  fb27e81baa4debc6a4e1a8639c20e808  322 days, 16:41:54.377908  \n",
-       "4  fb27e81baa4debc6a4e1a8639c20e808  164 days, 22:45:03.292230  \n",
-       "5  e0f4b8693184850fefd6d2a38f10584e   121 days, 7:22:21.199761  \n",
-       "6  fb27e81baa4debc6a4e1a8639c20e808  521 days, 16:26:06.445325  \n",
-       "7  fb27e81baa4debc6a4e1a8639c20e808  413 days, 21:29:40.700778  \n",
-       "8  fb27e81baa4debc6a4e1a8639c20e808   388 days, 0:14:09.447741  \n",
-       "9  fb27e81baa4debc6a4e1a8639c20e808  521 days, 16:26:06.470678  "
-      ]
-     },
-     "execution_count": 165,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# final visu : nice table for targets\n",
-    "\n",
-    "# pour la suite, on peut supprimer la colonne creation delay, \n",
-    "# était juste utile pour vérifier que la date de création était postérieure à la date de création de la target\n",
-    "\n",
-    "df1_customer_targets.head(10)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "d762394b-3aee-4284-a472-40a6b6f4308a",
-   "metadata": {},
-   "source": [
-    "## Campaign stats, campaigns"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 189,
-   "id": "9d338a1a-52a5-49c4-a277-37be3f190e81",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
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-       "\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>id</th>\n",
-       "      <th>name</th>\n",
-       "      <th>service_id</th>\n",
-       "      <th>created_at</th>\n",
-       "      <th>updated_at</th>\n",
-       "      <th>process_id</th>\n",
-       "      <th>report_url</th>\n",
-       "      <th>category</th>\n",
-       "      <th>to_be_synced</th>\n",
-       "      <th>identifier</th>\n",
-       "      <th>sent_at</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>1319613</td>\n",
-       "      <td>newsletter enseignants janvier 2022</td>\n",
-       "      <td>721</td>\n",
-       "      <td>2022-01-14 16:06:42.586321+01:00</td>\n",
-       "      <td>2022-02-03 14:17:27.112963+01:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>aba3b6fd5d186d28e06ff97135cade7f</td>\n",
-       "      <td>2022-01-14 00:00:00+01:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>1319586</td>\n",
-       "      <td>lsf_janvier_2022</td>\n",
-       "      <td>717</td>\n",
-       "      <td>2022-01-07 11:30:35.315895+01:00</td>\n",
-       "      <td>2022-02-03 14:17:27.116171+01:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>788d986905533aba051261497ecffcbb</td>\n",
-       "      <td>2022-01-07 00:00:00+01:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>1319282</td>\n",
-       "      <td>Invitation à déjeuner au Mucem | Vernissage « ...</td>\n",
-       "      <td>591</td>\n",
-       "      <td>2021-09-28 12:50:24.448752+02:00</td>\n",
-       "      <td>2022-02-03 14:17:27.119582+01:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>3493894fa4ea036cfc6433c3e2ee63b0</td>\n",
-       "      <td>2021-09-28 00:00:00+02:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>1319283</td>\n",
-       "      <td>Vacances de la Toussaint - centres des loisirs</td>\n",
-       "      <td>590</td>\n",
-       "      <td>2021-09-28 18:01:04.692073+02:00</td>\n",
-       "      <td>2022-02-03 14:17:27.124408+01:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>08b255a5d42b89b0585260b6f2360bdd</td>\n",
-       "      <td>2021-09-28 00:00:00+02:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>1319636</td>\n",
-       "      <td>ddcp_promo_md_livemag</td>\n",
-       "      <td>730</td>\n",
-       "      <td>2022-01-27 18:00:41.053069+01:00</td>\n",
-       "      <td>2022-02-03 14:17:27.127607+01:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>d5cfead94f5350c12c322b5b664544c1</td>\n",
-       "      <td>2022-01-27 00:00:00+01:00</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "        id                                               name  service_id  \\\n",
-       "0  1319613                newsletter enseignants janvier 2022         721   \n",
-       "1  1319586                                   lsf_janvier_2022         717   \n",
-       "2  1319282  Invitation à déjeuner au Mucem | Vernissage « ...         591   \n",
-       "3  1319283     Vacances de la Toussaint - centres des loisirs         590   \n",
-       "4  1319636                              ddcp_promo_md_livemag         730   \n",
-       "\n",
-       "                         created_at                        updated_at  \\\n",
-       "0  2022-01-14 16:06:42.586321+01:00  2022-02-03 14:17:27.112963+01:00   \n",
-       "1  2022-01-07 11:30:35.315895+01:00  2022-02-03 14:17:27.116171+01:00   \n",
-       "2  2021-09-28 12:50:24.448752+02:00  2022-02-03 14:17:27.119582+01:00   \n",
-       "3  2021-09-28 18:01:04.692073+02:00  2022-02-03 14:17:27.124408+01:00   \n",
-       "4  2022-01-27 18:00:41.053069+01:00  2022-02-03 14:17:27.127607+01:00   \n",
-       "\n",
-       "   process_id  report_url  category  to_be_synced  \\\n",
-       "0         NaN         NaN       0.0         False   \n",
-       "1         NaN         NaN       0.0         False   \n",
-       "2         NaN         NaN       0.0         False   \n",
-       "3         NaN         NaN       0.0         False   \n",
-       "4         NaN         NaN       0.0         False   \n",
-       "\n",
-       "                         identifier                    sent_at  \n",
-       "0  aba3b6fd5d186d28e06ff97135cade7f  2022-01-14 00:00:00+01:00  \n",
-       "1  788d986905533aba051261497ecffcbb  2022-01-07 00:00:00+01:00  \n",
-       "2  3493894fa4ea036cfc6433c3e2ee63b0  2021-09-28 00:00:00+02:00  \n",
-       "3  08b255a5d42b89b0585260b6f2360bdd  2021-09-28 00:00:00+02:00  \n",
-       "4  d5cfead94f5350c12c322b5b664544c1  2022-01-27 00:00:00+01:00  "
-      ]
-     },
-     "execution_count": 189,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# 1. campaigns\n",
-    "\n",
-    "df1_campaigns.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 171,
-   "id": "fad1a58c-cece-45f9-a44f-ca46884a9a81",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "id              0.000000\n",
-       "name            0.000000\n",
-       "service_id      0.000000\n",
-       "created_at      0.000000\n",
-       "updated_at      0.000000\n",
-       "process_id      1.000000\n",
-       "report_url      1.000000\n",
-       "category        0.002090\n",
-       "to_be_synced    0.000000\n",
-       "identifier      0.000000\n",
-       "sent_at         0.003135\n",
-       "dtype: float64"
-      ]
-     },
-     "execution_count": 171,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# part de Nan pour chaque variable\n",
-    "\n",
-    "df1_campaigns.isna().sum() / df1_campaigns.shape[0]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 185,
-   "id": "cdeebf18-a3a4-4131-ad88-d45c39ec5786",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "id                int64\n",
-       "name             object\n",
-       "service_id        int64\n",
-       "created_at       object\n",
-       "updated_at       object\n",
-       "process_id      float64\n",
-       "report_url      float64\n",
-       "category        float64\n",
-       "to_be_synced       bool\n",
-       "identifier       object\n",
-       "sent_at          object\n",
-       "dtype: object"
-      ]
-     },
-     "execution_count": 185,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df1_campaigns.dtypes"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 186,
-   "id": "5c9b669a-477b-4f33-86df-b22ff2c21382",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "str"
-      ]
-     },
-     "execution_count": 186,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "type(df1_campaigns[\"identifier\"][0])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 187,
-   "id": "b5b0af8d-b9a0-4224-a229-d74d90ac2686",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "array([ 0., nan])"
-      ]
-     },
-     "execution_count": 187,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# category\n",
-    "\n",
-    "df1_campaigns[\"category\"].isna()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 191,
-   "id": "4cc618ae-063f-48fc-bce7-8b72d30ad4ca",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "957\n",
-      "957\n"
-     ]
-    }
-   ],
-   "source": [
-    "# identifier\n",
-    "\n",
-    "print(df1_campaigns[\"identifier\"].nunique())\n",
-    "print(df1_campaigns.shape[0]) # identifier is unique"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 194,
-   "id": "d13c3f21-ebd7-4e9b-baca-1f3a10ac24a9",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "id              957\n",
-      "name            855\n",
-      "service_id      957\n",
-      "created_at      957\n",
-      "updated_at      957\n",
-      "process_id        0\n",
-      "report_url        0\n",
-      "category          1\n",
-      "to_be_synced      2\n",
-      "identifier      957\n",
-      "sent_at         737\n",
-      "dtype: int64\n"
-     ]
-    }
-   ],
-   "source": [
-    "# service id\n",
-    "\n",
-    "print(df1_campaigns.nunique()) # on a un identifiant de service par campagne, mais pas un nom unique"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 211,
-   "id": "aea65b10-8a7f-472e-a7f5-455a90d3cfef",
-   "metadata": {},
-   "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>id</th>\n",
-       "      <th>name</th>\n",
-       "      <th>service_id</th>\n",
-       "      <th>created_at</th>\n",
-       "      <th>updated_at</th>\n",
-       "      <th>process_id</th>\n",
-       "      <th>report_url</th>\n",
-       "      <th>category</th>\n",
-       "      <th>to_be_synced</th>\n",
-       "      <th>identifier</th>\n",
-       "      <th>sent_at</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>777</th>\n",
-       "      <td>1319239</td>\n",
-       "      <td>\"L'Orient sonore\" au Mucem à partir du 22 juillet</td>\n",
-       "      <td>184</td>\n",
-       "      <td>2021-09-24 11:56:09.277085+02:00</td>\n",
-       "      <td>2021-09-24 11:56:09.277085+02:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>6cdd60ea0045eb7a6ec44c54d29ed402</td>\n",
-       "      <td>2020-07-15 00:00:00+02:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>778</th>\n",
-       "      <td>1319240</td>\n",
-       "      <td>\"L'Orient sonore\" au Mucem à partir du 22 juillet</td>\n",
-       "      <td>181</td>\n",
-       "      <td>2021-09-24 11:56:09.284647+02:00</td>\n",
-       "      <td>2021-09-24 11:56:09.284647+02:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>fc221309746013ac554571fbd180e1c8</td>\n",
-       "      <td>2020-07-09 00:00:00+02:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>255</th>\n",
-       "      <td>1320926</td>\n",
-       "      <td>Alexandrie NL2</td>\n",
-       "      <td>1116</td>\n",
-       "      <td>2023-01-31 11:08:55.915268+01:00</td>\n",
-       "      <td>2023-01-31 11:08:56.286044+01:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>dd77279f7d325eec933f05b1672f6a1f</td>\n",
-       "      <td>2023-01-31 12:08:54+01:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>161</th>\n",
-       "      <td>1320910</td>\n",
-       "      <td>Alexandrie NL2</td>\n",
-       "      <td>1077</td>\n",
-       "      <td>2023-01-24 09:01:00.250855+01:00</td>\n",
-       "      <td>2023-01-24 09:01:00.271292+01:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>062ddb6c727310e76b6200b7c71f63b5</td>\n",
-       "      <td>2023-01-24 10:00:58+01:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>241</th>\n",
-       "      <td>1320574</td>\n",
-       "      <td>Alexandrie NL2</td>\n",
-       "      <td>731</td>\n",
-       "      <td>2022-10-11 07:00:50.971513+02:00</td>\n",
-       "      <td>2022-12-02 17:51:21.670983+01:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>59c33016884a62116be975a9bb8257e3</td>\n",
-       "      <td>2022-10-11 00:00:00+02:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>317</th>\n",
-       "      <td>1320972</td>\n",
-       "      <td>Centres_loisirs _vacances de février</td>\n",
-       "      <td>1124</td>\n",
-       "      <td>2023-02-08 12:01:16.732961+01:00</td>\n",
-       "      <td>2023-02-08 12:01:16.808008+01:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>c7635bfd99248a2cdef8249ef7bfbef4</td>\n",
-       "      <td>2023-02-08 13:01:15+01:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>166</th>\n",
-       "      <td>1320954</td>\n",
-       "      <td>Centres_loisirs _vacances de février</td>\n",
-       "      <td>1110</td>\n",
-       "      <td>2023-02-01 09:30:41.267232+01:00</td>\n",
-       "      <td>2023-02-01 09:30:41.354117+01:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>2cbca44843a864533ec05b321ae1f9d1</td>\n",
-       "      <td>2023-02-01 10:30:40+01:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>672</th>\n",
-       "      <td>148</td>\n",
-       "      <td>Champ social décembre 2020</td>\n",
-       "      <td>283</td>\n",
-       "      <td>2021-04-03 18:24:42.186026+02:00</td>\n",
-       "      <td>2021-09-24 11:56:08.182818+02:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0f49c89d1e7298bb9930789c8ed59d48</td>\n",
-       "      <td>2020-12-03 00:00:00+01:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>569</th>\n",
-       "      <td>72</td>\n",
-       "      <td>Champ social décembre 2020</td>\n",
-       "      <td>284</td>\n",
-       "      <td>2021-03-29 15:41:53.631952+02:00</td>\n",
-       "      <td>2021-09-24 11:56:07.748770+02:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>46ba9f2a6976570b0353203ec4474217</td>\n",
-       "      <td>2020-12-04 00:00:00+01:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>175</th>\n",
-       "      <td>1319881</td>\n",
-       "      <td>Champ social mars 2022</td>\n",
-       "      <td>833</td>\n",
-       "      <td>2022-04-25 10:00:26.029871+02:00</td>\n",
-       "      <td>2022-12-02 17:51:22.319899+01:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>013a006f03dbc5392effeb8f18fda755</td>\n",
-       "      <td>2022-04-25 00:00:00+02:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>316</th>\n",
-       "      <td>1319760</td>\n",
-       "      <td>Champ social mars 2022</td>\n",
-       "      <td>785</td>\n",
-       "      <td>2022-03-11 13:00:28.333251+01:00</td>\n",
-       "      <td>2022-12-02 17:51:21.991906+01:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>4b04a686b0ad13dce35fa99fa4161c65</td>\n",
-       "      <td>2022-03-11 00:00:00+01:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>326</th>\n",
-       "      <td>1319798</td>\n",
-       "      <td>DDCP Newsletter Destination Mucem Est 2</td>\n",
-       "      <td>804</td>\n",
-       "      <td>2022-03-22 10:21:02.122363+01:00</td>\n",
-       "      <td>2022-12-02 17:51:22.119041+01:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>dc5689792e08eb2e219dce49e64c885b</td>\n",
-       "      <td>2022-03-22 00:00:00+01:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>177</th>\n",
-       "      <td>1319882</td>\n",
-       "      <td>DDCP Newsletter Destination Mucem Est 2</td>\n",
-       "      <td>843</td>\n",
-       "      <td>2022-04-26 09:00:44.083713+02:00</td>\n",
-       "      <td>2022-12-02 17:51:22.454684+01:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>3d8e28caf901313a554cebc7d32e67e5</td>\n",
-       "      <td>2022-04-26 00:00:00+02:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>347</th>\n",
-       "      <td>1319883</td>\n",
-       "      <td>DDCP Newsletter Destination Mucem Nord 2</td>\n",
-       "      <td>845</td>\n",
-       "      <td>2022-04-26 09:00:46.020370+02:00</td>\n",
-       "      <td>2022-12-02 17:51:22.463986+01:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>b86e8d03fe992d1b0e19656875ee557c</td>\n",
-       "      <td>2022-04-26 00:00:00+02:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>319</th>\n",
-       "      <td>1319768</td>\n",
-       "      <td>DDCP Newsletter Destination Mucem Nord 2</td>\n",
-       "      <td>789</td>\n",
-       "      <td>2022-03-17 10:20:51.757178+01:00</td>\n",
-       "      <td>2022-12-02 17:51:22.064760+01:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>68053af2923e00204c3ca7c6a3150cf7</td>\n",
-       "      <td>2022-03-17 00:00:00+01:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>176</th>\n",
-       "      <td>1319885</td>\n",
-       "      <td>DDCP Newsletter Destination Mucem Nord Est 2</td>\n",
-       "      <td>842</td>\n",
-       "      <td>2022-04-26 09:30:57.232149+02:00</td>\n",
-       "      <td>2022-12-02 17:51:22.447304+01:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>fc3cf452d3da8402bebb765225ce8c0e</td>\n",
-       "      <td>2022-04-26 00:00:00+02:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>324</th>\n",
-       "      <td>1319769</td>\n",
-       "      <td>DDCP Newsletter Destination Mucem Nord Est 2</td>\n",
-       "      <td>800</td>\n",
-       "      <td>2022-03-17 10:22:58.736431+01:00</td>\n",
-       "      <td>2022-12-02 17:51:22.107694+01:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>7a53928fa4dd31e82c6ef826f341daec</td>\n",
-       "      <td>2022-03-17 00:00:00+01:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>243</th>\n",
-       "      <td>1319884</td>\n",
-       "      <td>DDCP Newsletter Destination Mucem Sud 2</td>\n",
-       "      <td>844</td>\n",
-       "      <td>2022-04-26 09:00:46.894528+02:00</td>\n",
-       "      <td>2022-12-02 17:51:22.459272+01:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>e97ee2054defb209c35fe4dc94599061</td>\n",
-       "      <td>2022-04-26 00:00:00+02:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>327</th>\n",
-       "      <td>1319799</td>\n",
-       "      <td>DDCP Newsletter Destination Mucem Sud 2</td>\n",
-       "      <td>805</td>\n",
-       "      <td>2022-03-22 10:24:05.787335+01:00</td>\n",
-       "      <td>2022-12-02 17:51:22.123726+01:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>846c260d715e5b854ffad5f70a516c88</td>\n",
-       "      <td>2022-03-22 00:00:00+01:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>620</th>\n",
-       "      <td>2681</td>\n",
-       "      <td>DDCP PROMO programmation Orient sonore Pass mu...</td>\n",
-       "      <td>226</td>\n",
-       "      <td>2021-04-08 21:10:40.634455+02:00</td>\n",
-       "      <td>2021-09-24 11:56:07.922243+02:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>9cfdf10e8fc047a44b08ed031e1f0ed1</td>\n",
-       "      <td>2020-10-09 00:00:00+02:00</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "          id                                               name  service_id  \\\n",
-       "777  1319239  \"L'Orient sonore\" au Mucem à partir du 22 juillet         184   \n",
-       "778  1319240  \"L'Orient sonore\" au Mucem à partir du 22 juillet         181   \n",
-       "255  1320926                                     Alexandrie NL2        1116   \n",
-       "161  1320910                                     Alexandrie NL2        1077   \n",
-       "241  1320574                                     Alexandrie NL2         731   \n",
-       "317  1320972               Centres_loisirs _vacances de février        1124   \n",
-       "166  1320954               Centres_loisirs _vacances de février        1110   \n",
-       "672      148                         Champ social décembre 2020         283   \n",
-       "569       72                         Champ social décembre 2020         284   \n",
-       "175  1319881                             Champ social mars 2022         833   \n",
-       "316  1319760                             Champ social mars 2022         785   \n",
-       "326  1319798            DDCP Newsletter Destination Mucem Est 2         804   \n",
-       "177  1319882            DDCP Newsletter Destination Mucem Est 2         843   \n",
-       "347  1319883           DDCP Newsletter Destination Mucem Nord 2         845   \n",
-       "319  1319768           DDCP Newsletter Destination Mucem Nord 2         789   \n",
-       "176  1319885       DDCP Newsletter Destination Mucem Nord Est 2         842   \n",
-       "324  1319769       DDCP Newsletter Destination Mucem Nord Est 2         800   \n",
-       "243  1319884            DDCP Newsletter Destination Mucem Sud 2         844   \n",
-       "327  1319799            DDCP Newsletter Destination Mucem Sud 2         805   \n",
-       "620     2681  DDCP PROMO programmation Orient sonore Pass mu...         226   \n",
-       "\n",
-       "                           created_at                        updated_at  \\\n",
-       "777  2021-09-24 11:56:09.277085+02:00  2021-09-24 11:56:09.277085+02:00   \n",
-       "778  2021-09-24 11:56:09.284647+02:00  2021-09-24 11:56:09.284647+02:00   \n",
-       "255  2023-01-31 11:08:55.915268+01:00  2023-01-31 11:08:56.286044+01:00   \n",
-       "161  2023-01-24 09:01:00.250855+01:00  2023-01-24 09:01:00.271292+01:00   \n",
-       "241  2022-10-11 07:00:50.971513+02:00  2022-12-02 17:51:21.670983+01:00   \n",
-       "317  2023-02-08 12:01:16.732961+01:00  2023-02-08 12:01:16.808008+01:00   \n",
-       "166  2023-02-01 09:30:41.267232+01:00  2023-02-01 09:30:41.354117+01:00   \n",
-       "672  2021-04-03 18:24:42.186026+02:00  2021-09-24 11:56:08.182818+02:00   \n",
-       "569  2021-03-29 15:41:53.631952+02:00  2021-09-24 11:56:07.748770+02:00   \n",
-       "175  2022-04-25 10:00:26.029871+02:00  2022-12-02 17:51:22.319899+01:00   \n",
-       "316  2022-03-11 13:00:28.333251+01:00  2022-12-02 17:51:21.991906+01:00   \n",
-       "326  2022-03-22 10:21:02.122363+01:00  2022-12-02 17:51:22.119041+01:00   \n",
-       "177  2022-04-26 09:00:44.083713+02:00  2022-12-02 17:51:22.454684+01:00   \n",
-       "347  2022-04-26 09:00:46.020370+02:00  2022-12-02 17:51:22.463986+01:00   \n",
-       "319  2022-03-17 10:20:51.757178+01:00  2022-12-02 17:51:22.064760+01:00   \n",
-       "176  2022-04-26 09:30:57.232149+02:00  2022-12-02 17:51:22.447304+01:00   \n",
-       "324  2022-03-17 10:22:58.736431+01:00  2022-12-02 17:51:22.107694+01:00   \n",
-       "243  2022-04-26 09:00:46.894528+02:00  2022-12-02 17:51:22.459272+01:00   \n",
-       "327  2022-03-22 10:24:05.787335+01:00  2022-12-02 17:51:22.123726+01:00   \n",
-       "620  2021-04-08 21:10:40.634455+02:00  2021-09-24 11:56:07.922243+02:00   \n",
-       "\n",
-       "     process_id  report_url  category  to_be_synced  \\\n",
-       "777         NaN         NaN       0.0         False   \n",
-       "778         NaN         NaN       0.0         False   \n",
-       "255         NaN         NaN       0.0         False   \n",
-       "161         NaN         NaN       0.0         False   \n",
-       "241         NaN         NaN       0.0         False   \n",
-       "317         NaN         NaN       0.0         False   \n",
-       "166         NaN         NaN       0.0         False   \n",
-       "672         NaN         NaN       0.0         False   \n",
-       "569         NaN         NaN       0.0         False   \n",
-       "175         NaN         NaN       0.0         False   \n",
-       "316         NaN         NaN       0.0         False   \n",
-       "326         NaN         NaN       0.0         False   \n",
-       "177         NaN         NaN       0.0         False   \n",
-       "347         NaN         NaN       0.0         False   \n",
-       "319         NaN         NaN       0.0         False   \n",
-       "176         NaN         NaN       0.0         False   \n",
-       "324         NaN         NaN       0.0         False   \n",
-       "243         NaN         NaN       0.0         False   \n",
-       "327         NaN         NaN       0.0         False   \n",
-       "620         NaN         NaN       0.0         False   \n",
-       "\n",
-       "                           identifier                    sent_at  \n",
-       "777  6cdd60ea0045eb7a6ec44c54d29ed402  2020-07-15 00:00:00+02:00  \n",
-       "778  fc221309746013ac554571fbd180e1c8  2020-07-09 00:00:00+02:00  \n",
-       "255  dd77279f7d325eec933f05b1672f6a1f  2023-01-31 12:08:54+01:00  \n",
-       "161  062ddb6c727310e76b6200b7c71f63b5  2023-01-24 10:00:58+01:00  \n",
-       "241  59c33016884a62116be975a9bb8257e3  2022-10-11 00:00:00+02:00  \n",
-       "317  c7635bfd99248a2cdef8249ef7bfbef4  2023-02-08 13:01:15+01:00  \n",
-       "166  2cbca44843a864533ec05b321ae1f9d1  2023-02-01 10:30:40+01:00  \n",
-       "672  0f49c89d1e7298bb9930789c8ed59d48  2020-12-03 00:00:00+01:00  \n",
-       "569  46ba9f2a6976570b0353203ec4474217  2020-12-04 00:00:00+01:00  \n",
-       "175  013a006f03dbc5392effeb8f18fda755  2022-04-25 00:00:00+02:00  \n",
-       "316  4b04a686b0ad13dce35fa99fa4161c65  2022-03-11 00:00:00+01:00  \n",
-       "326  dc5689792e08eb2e219dce49e64c885b  2022-03-22 00:00:00+01:00  \n",
-       "177  3d8e28caf901313a554cebc7d32e67e5  2022-04-26 00:00:00+02:00  \n",
-       "347  b86e8d03fe992d1b0e19656875ee557c  2022-04-26 00:00:00+02:00  \n",
-       "319  68053af2923e00204c3ca7c6a3150cf7  2022-03-17 00:00:00+01:00  \n",
-       "176  fc3cf452d3da8402bebb765225ce8c0e  2022-04-26 00:00:00+02:00  \n",
-       "324  7a53928fa4dd31e82c6ef826f341daec  2022-03-17 00:00:00+01:00  \n",
-       "243  e97ee2054defb209c35fe4dc94599061  2022-04-26 00:00:00+02:00  \n",
-       "327  846c260d715e5b854ffad5f70a516c88  2022-03-22 00:00:00+01:00  \n",
-       "620  9cfdf10e8fc047a44b08ed031e1f0ed1  2020-10-09 00:00:00+02:00  "
-      ]
-     },
-     "execution_count": 211,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# name\n",
-    "\n",
-    "df1_campaigns[df1_campaigns.duplicated(subset = [\"name\"], keep=False)].sort_values(\"name\").head(20)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 207,
-   "id": "35ea834e-01a3-4841-a9a9-351c25c5af37",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "175    True\n",
-       "316    True\n",
-       "dtype: bool"
-      ]
-     },
-     "execution_count": 207,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df1_campaigns[df1_campaigns[\"name\"]==\"Champ social mars 2022\"].duplicated(subset=\"name\", keep=False)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 226,
-   "id": "5e16bf37-c2e0-48c9-8a90-6713f7c6206c",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Share of campaigns to synce : 0.52 % \n"
-     ]
-    }
-   ],
-   "source": [
-    "# to be synced \n",
-    "\n",
-    "share_campaigns_to_be_synced = round(100 * df1_campaigns[\"to_be_synced\"].mean(),2)\n",
-    "print(f\"Share of campaigns to synce : {share_campaigns_to_be_synced} % \") # 0.5% of campaigns to synce"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 235,
-   "id": "88a6f9d4-ddd2-4288-9bba-7d9e76c66f51",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
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-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
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-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>id</th>\n",
-       "      <th>name</th>\n",
-       "      <th>service_id</th>\n",
-       "      <th>created_at</th>\n",
-       "      <th>updated_at</th>\n",
-       "      <th>process_id</th>\n",
-       "      <th>report_url</th>\n",
-       "      <th>category</th>\n",
-       "      <th>to_be_synced</th>\n",
-       "      <th>identifier</th>\n",
-       "      <th>sent_at</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>43</th>\n",
-       "      <td>1320752</td>\n",
-       "      <td>dre_alors_on_sort0712_tech&amp;cult1212_lesreveill...</td>\n",
-       "      <td>1019</td>\n",
-       "      <td>2022-11-28 09:30:31.189207+01:00</td>\n",
-       "      <td>2022-12-02 17:51:23.474745+01:00</td>\n",
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-       "      <td>2022-11-28 00:00:00+01:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>79</th>\n",
-       "      <td>1320755</td>\n",
-       "      <td>News hebdo du 5 au 4 décembre 2022</td>\n",
-       "      <td>1060</td>\n",
-       "      <td>2022-12-04 18:01:29.971417+01:00</td>\n",
-       "      <td>2022-12-04 18:01:30.037656+01:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
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-       "      <td>299a23a2291e2126b91d54f3601ec162</td>\n",
-       "      <td>2022-12-04 19:01:27+01:00</td>\n",
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-       "    <tr>\n",
-       "      <th>464</th>\n",
-       "      <td>1320749</td>\n",
-       "      <td>dre_le_sel_241122</td>\n",
-       "      <td>1054</td>\n",
-       "      <td>2022-11-24 09:01:37.467710+01:00</td>\n",
-       "      <td>2022-12-02 17:51:23.622812+01:00</td>\n",
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-       "      <td>2022-11-24 00:00:00+01:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>465</th>\n",
-       "      <td>1320751</td>\n",
-       "      <td>News hebdo du 28 novembre au 4 décembre</td>\n",
-       "      <td>1057</td>\n",
-       "      <td>2022-11-27 18:01:44.546081+01:00</td>\n",
-       "      <td>2022-12-02 17:51:23.627178+01:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>True</td>\n",
-       "      <td>d8700cbd38cc9f30cecb34f0c195b137</td>\n",
-       "      <td>2022-11-27 00:00:00+01:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>888</th>\n",
-       "      <td>1319474</td>\n",
-       "      <td>ddcp_promo_temps fort salammbo</td>\n",
-       "      <td>670</td>\n",
-       "      <td>2021-11-25 13:19:41.547780+01:00</td>\n",
-       "      <td>2022-02-03 14:17:27.728648+01:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>True</td>\n",
-       "      <td>17c276c8e723eb46aef576537e9d56d0</td>\n",
-       "      <td>2021-11-25 00:00:00+01:00</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "          id                                               name  service_id  \\\n",
-       "43   1320752  dre_alors_on_sort0712_tech&cult1212_lesreveill...        1019   \n",
-       "79   1320755                 News hebdo du 5 au 4 décembre 2022        1060   \n",
-       "464  1320749                                  dre_le_sel_241122        1054   \n",
-       "465  1320751            News hebdo du 28 novembre au 4 décembre        1057   \n",
-       "888  1319474                     ddcp_promo_temps fort salammbo         670   \n",
-       "\n",
-       "                           created_at                        updated_at  \\\n",
-       "43   2022-11-28 09:30:31.189207+01:00  2022-12-02 17:51:23.474745+01:00   \n",
-       "79   2022-12-04 18:01:29.971417+01:00  2022-12-04 18:01:30.037656+01:00   \n",
-       "464  2022-11-24 09:01:37.467710+01:00  2022-12-02 17:51:23.622812+01:00   \n",
-       "465  2022-11-27 18:01:44.546081+01:00  2022-12-02 17:51:23.627178+01:00   \n",
-       "888  2021-11-25 13:19:41.547780+01:00  2022-02-03 14:17:27.728648+01:00   \n",
-       "\n",
-       "     process_id  report_url  category  to_be_synced  \\\n",
-       "43          NaN         NaN       0.0          True   \n",
-       "79          NaN         NaN       0.0          True   \n",
-       "464         NaN         NaN       0.0          True   \n",
-       "465         NaN         NaN       0.0          True   \n",
-       "888         NaN         NaN       0.0          True   \n",
-       "\n",
-       "                           identifier                    sent_at  \n",
-       "43   03e0704b5690a2dee1861dc3ad3316c9  2022-11-28 00:00:00+01:00  \n",
-       "79   299a23a2291e2126b91d54f3601ec162  2022-12-04 19:01:27+01:00  \n",
-       "464  db576a7d2453575f29eab4bac787b919  2022-11-24 00:00:00+01:00  \n",
-       "465  d8700cbd38cc9f30cecb34f0c195b137  2022-11-27 00:00:00+01:00  \n",
-       "888  17c276c8e723eb46aef576537e9d56d0  2021-11-25 00:00:00+01:00  "
-      ]
-     },
-     "execution_count": 235,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# focus : campaigns to synce - 5 cases\n",
-    "# la date d'envoie semble cohérente. Pas d'observation particulière sur ces cas ...\n",
-    "\n",
-    "df1_campaigns[df1_campaigns[\"to_be_synced\"]]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 234,
-   "id": "cf9dedd6-2554-4f9e-a09b-f1465718a18d",
-   "metadata": {},
-   "outputs": [
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-       "      <th>79</th>\n",
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-       "      <td>News hebdo du 5 au 4 décembre 2022</td>\n",
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-       "      <td>News hebdo du 28 novembre au 4 décembre</td>\n",
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-       "      <td>2022-11-27 00:00:00+01:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>888</th>\n",
-       "      <td>1319474</td>\n",
-       "      <td>ddcp_promo_temps fort salammbo</td>\n",
-       "      <td>670</td>\n",
-       "      <td>2021-11-25 13:19:41.547780+01:00</td>\n",
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-       "      <td>2021-11-25 00:00:00+01:00</td>\n",
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-      "text/plain": [
-       "          id                                               name  service_id  \\\n",
-       "43   1320752  dre_alors_on_sort0712_tech&cult1212_lesreveill...        1019   \n",
-       "79   1320755                 News hebdo du 5 au 4 décembre 2022        1060   \n",
-       "464  1320749                                  dre_le_sel_241122        1054   \n",
-       "465  1320751            News hebdo du 28 novembre au 4 décembre        1057   \n",
-       "888  1319474                     ddcp_promo_temps fort salammbo         670   \n",
-       "\n",
-       "                           created_at                        updated_at  \\\n",
-       "43   2022-11-28 09:30:31.189207+01:00  2022-12-02 17:51:23.474745+01:00   \n",
-       "79   2022-12-04 18:01:29.971417+01:00  2022-12-04 18:01:30.037656+01:00   \n",
-       "464  2022-11-24 09:01:37.467710+01:00  2022-12-02 17:51:23.622812+01:00   \n",
-       "465  2022-11-27 18:01:44.546081+01:00  2022-12-02 17:51:23.627178+01:00   \n",
-       "888  2021-11-25 13:19:41.547780+01:00  2022-02-03 14:17:27.728648+01:00   \n",
-       "\n",
-       "     process_id  report_url  category  to_be_synced  \\\n",
-       "43          NaN         NaN       0.0          True   \n",
-       "79          NaN         NaN       0.0          True   \n",
-       "464         NaN         NaN       0.0          True   \n",
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-       "888         NaN         NaN       0.0          True   \n",
-       "\n",
-       "                           identifier                    sent_at  \n",
-       "43   03e0704b5690a2dee1861dc3ad3316c9  2022-11-28 00:00:00+01:00  \n",
-       "79   299a23a2291e2126b91d54f3601ec162  2022-12-04 19:01:27+01:00  \n",
-       "464  db576a7d2453575f29eab4bac787b919  2022-11-24 00:00:00+01:00  \n",
-       "465  d8700cbd38cc9f30cecb34f0c195b137  2022-11-27 00:00:00+01:00  \n",
-       "888  17c276c8e723eb46aef576537e9d56d0  2021-11-25 00:00:00+01:00  "
-      ]
-     },
-     "execution_count": 234,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df1_campaigns[df1_campaigns[\"name\"].isin(df1_campaigns[df1_campaigns[\"to_be_synced\"]][\"name\"].unique()) ]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 237,
-   "id": "ba2f188f-be49-4e19-9cb3-0ec54e58d0c1",
-   "metadata": {},
-   "outputs": [
-    {
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-       "      <td>newsletter enseignants janvier 2022</td>\n",
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-       "      <td>Invitation à déjeuner au Mucem | Vernissage « ...</td>\n",
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-       "      <td>2021-09-28 00:00:00+02:00</td>\n",
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-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>1319636</td>\n",
-       "      <td>ddcp_promo_md_livemag</td>\n",
-       "      <td>730</td>\n",
-       "      <td>2022-01-27 18:00:41.053069+01:00</td>\n",
-       "      <td>2022-02-03 14:17:27.127607+01:00</td>\n",
-       "      <td>NaN</td>\n",
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-       "      <td>2022-01-27 00:00:00+01:00</td>\n",
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-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>1319614</td>\n",
-       "      <td>News hebdo du 17 janv au 23 janv 2022</td>\n",
-       "      <td>712</td>\n",
-       "      <td>2022-01-16 18:01:28.974157+01:00</td>\n",
-       "      <td>2022-02-03 14:17:27.130944+01:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
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-       "      <td>False</td>\n",
-       "      <td>19bc916108fc6938f52cb96f7e087941</td>\n",
-       "      <td>2022-01-16 00:00:00+01:00</td>\n",
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-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>1319263</td>\n",
-       "      <td>ddcp_promo_automne_littérature_relance_nn_ouverts</td>\n",
-       "      <td>586</td>\n",
-       "      <td>2021-09-24 15:00:04.174247+02:00</td>\n",
-       "      <td>2021-09-24 16:13:10.505400+02:00</td>\n",
-       "      <td>NaN</td>\n",
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-       "      <td>2021-09-24 00:00:00+02:00</td>\n",
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-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>1319284</td>\n",
-       "      <td>Invitation au vernissage de l'exposition \"La C...</td>\n",
-       "      <td>593</td>\n",
-       "      <td>2021-09-30 14:47:18.135394+02:00</td>\n",
-       "      <td>2022-02-03 14:17:27.134073+01:00</td>\n",
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-       "      <td>2021-09-30 00:00:00+02:00</td>\n",
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-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>1319625</td>\n",
-       "      <td>dre_mobilisations_artistiques_et_politiques</td>\n",
-       "      <td>704</td>\n",
-       "      <td>2022-01-27 10:01:16.716706+01:00</td>\n",
-       "      <td>2022-02-03 14:17:27.172039+01:00</td>\n",
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-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>1319285</td>\n",
-       "      <td>ddcp_promo_soyinka_taubira_infos_pratiques</td>\n",
-       "      <td>594</td>\n",
-       "      <td>2021-10-01 12:16:57.031796+02:00</td>\n",
-       "      <td>2022-02-03 14:17:27.137444+01:00</td>\n",
-       "      <td>NaN</td>\n",
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-       "      <td>076a0c97d09cf1a0ec3e19c7f2529f2b</td>\n",
-       "      <td>2021-10-01 00:00:00+02:00</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
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-       "        id                                               name  service_id  \\\n",
-       "0  1319613                newsletter enseignants janvier 2022         721   \n",
-       "1  1319586                                   lsf_janvier_2022         717   \n",
-       "2  1319282  Invitation à déjeuner au Mucem | Vernissage « ...         591   \n",
-       "3  1319283     Vacances de la Toussaint - centres des loisirs         590   \n",
-       "4  1319636                              ddcp_promo_md_livemag         730   \n",
-       "5  1319614              News hebdo du 17 janv au 23 janv 2022         712   \n",
-       "6  1319263  ddcp_promo_automne_littérature_relance_nn_ouverts         586   \n",
-       "7  1319284  Invitation au vernissage de l'exposition \"La C...         593   \n",
-       "8  1319625        dre_mobilisations_artistiques_et_politiques         704   \n",
-       "9  1319285         ddcp_promo_soyinka_taubira_infos_pratiques         594   \n",
-       "\n",
-       "                         created_at                        updated_at  \\\n",
-       "0  2022-01-14 16:06:42.586321+01:00  2022-02-03 14:17:27.112963+01:00   \n",
-       "1  2022-01-07 11:30:35.315895+01:00  2022-02-03 14:17:27.116171+01:00   \n",
-       "2  2021-09-28 12:50:24.448752+02:00  2022-02-03 14:17:27.119582+01:00   \n",
-       "3  2021-09-28 18:01:04.692073+02:00  2022-02-03 14:17:27.124408+01:00   \n",
-       "4  2022-01-27 18:00:41.053069+01:00  2022-02-03 14:17:27.127607+01:00   \n",
-       "5  2022-01-16 18:01:28.974157+01:00  2022-02-03 14:17:27.130944+01:00   \n",
-       "6  2021-09-24 15:00:04.174247+02:00  2021-09-24 16:13:10.505400+02:00   \n",
-       "7  2021-09-30 14:47:18.135394+02:00  2022-02-03 14:17:27.134073+01:00   \n",
-       "8  2022-01-27 10:01:16.716706+01:00  2022-02-03 14:17:27.172039+01:00   \n",
-       "9  2021-10-01 12:16:57.031796+02:00  2022-02-03 14:17:27.137444+01:00   \n",
-       "\n",
-       "   process_id  report_url  category  to_be_synced  \\\n",
-       "0         NaN         NaN       0.0         False   \n",
-       "1         NaN         NaN       0.0         False   \n",
-       "2         NaN         NaN       0.0         False   \n",
-       "3         NaN         NaN       0.0         False   \n",
-       "4         NaN         NaN       0.0         False   \n",
-       "5         NaN         NaN       0.0         False   \n",
-       "6         NaN         NaN       0.0         False   \n",
-       "7         NaN         NaN       0.0         False   \n",
-       "8         NaN         NaN       0.0         False   \n",
-       "9         NaN         NaN       0.0         False   \n",
-       "\n",
-       "                         identifier                    sent_at  \n",
-       "0  aba3b6fd5d186d28e06ff97135cade7f  2022-01-14 00:00:00+01:00  \n",
-       "1  788d986905533aba051261497ecffcbb  2022-01-07 00:00:00+01:00  \n",
-       "2  3493894fa4ea036cfc6433c3e2ee63b0  2021-09-28 00:00:00+02:00  \n",
-       "3  08b255a5d42b89b0585260b6f2360bdd  2021-09-28 00:00:00+02:00  \n",
-       "4  d5cfead94f5350c12c322b5b664544c1  2022-01-27 00:00:00+01:00  \n",
-       "5  19bc916108fc6938f52cb96f7e087941  2022-01-16 00:00:00+01:00  \n",
-       "6  605ff764c617d3cd28dbbdd72be8f9a2  2021-09-24 00:00:00+02:00  \n",
-       "7  acc3e0404646c57502b480dc052c4fe1  2021-09-30 00:00:00+02:00  \n",
-       "8  f64eac11f2cd8f0efa196f8ad173178e  2022-01-27 00:00:00+01:00  \n",
-       "9  076a0c97d09cf1a0ec3e19c7f2529f2b  2021-10-01 00:00:00+02:00  "
-      ]
-     },
-     "execution_count": 237,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df1_campaigns[~df1_campaigns[\"to_be_synced\"]].head(10)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 240,
-   "id": "4bf2cbdd-6236-43b8-9a13-74f2803a6ac5",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
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-       "\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>id</th>\n",
-       "      <th>campaign_id</th>\n",
-       "      <th>customer_id</th>\n",
-       "      <th>opened_at</th>\n",
-       "      <th>sent_at</th>\n",
-       "      <th>delivered_at</th>\n",
-       "      <th>created_at</th>\n",
-       "      <th>updated_at</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>19793</td>\n",
-       "      <td>58</td>\n",
-       "      <td>112597</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>2021-03-28 18:01:09+02:00</td>\n",
-       "      <td>2021-03-28 18:24:18+02:00</td>\n",
-       "      <td>2021-03-28 18:34:20.616136+02:00</td>\n",
-       "      <td>2022-04-15 22:52:04.397693+02:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>14211</td>\n",
-       "      <td>58</td>\n",
-       "      <td>113666</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>2021-03-28 18:01:09+02:00</td>\n",
-       "      <td>2021-03-28 18:21:02+02:00</td>\n",
-       "      <td>2021-03-28 18:21:04.297213+02:00</td>\n",
-       "      <td>2022-04-15 22:52:04.397693+02:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>13150</td>\n",
-       "      <td>58</td>\n",
-       "      <td>280561</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>2021-03-28 18:00:59+02:00</td>\n",
-       "      <td>2021-03-28 18:08:45+02:00</td>\n",
-       "      <td>2021-03-28 18:18:49.991042+02:00</td>\n",
-       "      <td>2022-04-15 22:52:04.397693+02:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>7073</td>\n",
-       "      <td>58</td>\n",
-       "      <td>101007</td>\n",
-       "      <td>2021-03-28 20:11:06+02:00</td>\n",
-       "      <td>2021-03-28 18:00:59+02:00</td>\n",
-       "      <td>2021-03-28 18:09:47+02:00</td>\n",
-       "      <td>2021-03-28 18:09:50.915354+02:00</td>\n",
-       "      <td>2022-04-15 22:52:04.397693+02:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>5175</td>\n",
-       "      <td>58</td>\n",
-       "      <td>103972</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>2021-03-28 18:01:06+02:00</td>\n",
-       "      <td>2021-03-28 18:05:03+02:00</td>\n",
-       "      <td>2021-03-28 18:05:08.507398+02:00</td>\n",
-       "      <td>2022-04-15 22:52:04.397693+02:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>4809</td>\n",
-       "      <td>58</td>\n",
-       "      <td>104599</td>\n",
-       "      <td>2021-03-28 18:12:12+02:00</td>\n",
-       "      <td>2021-03-28 18:01:06+02:00</td>\n",
-       "      <td>2021-03-28 18:04:18+02:00</td>\n",
-       "      <td>2021-03-28 18:04:19.662496+02:00</td>\n",
-       "      <td>2022-04-15 22:52:04.397693+02:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>11605</td>\n",
-       "      <td>58</td>\n",
-       "      <td>280579</td>\n",
-       "      <td>2021-03-28 18:16:14+02:00</td>\n",
-       "      <td>2021-03-28 18:00:59+02:00</td>\n",
-       "      <td>2021-03-28 18:16:09+02:00</td>\n",
-       "      <td>2021-03-28 18:16:10.974208+02:00</td>\n",
-       "      <td>2022-04-15 22:52:04.397693+02:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>18714</td>\n",
-       "      <td>58</td>\n",
-       "      <td>34173</td>\n",
-       "      <td>2021-03-29 05:31:37+02:00</td>\n",
-       "      <td>2021-03-28 18:00:58+02:00</td>\n",
-       "      <td>2021-03-28 18:31:02+02:00</td>\n",
-       "      <td>2021-03-28 18:31:07.619032+02:00</td>\n",
-       "      <td>2022-04-15 22:52:04.397693+02:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>17119</td>\n",
-       "      <td>58</td>\n",
-       "      <td>34992</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>2021-03-28 18:00:58+02:00</td>\n",
-       "      <td>2021-03-28 18:28:00+02:00</td>\n",
-       "      <td>2021-03-28 18:28:03.574600+02:00</td>\n",
-       "      <td>2022-04-15 22:52:04.397693+02:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>14001</td>\n",
-       "      <td>58</td>\n",
-       "      <td>35343</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>2021-03-28 18:00:58+02:00</td>\n",
-       "      <td>2021-03-28 18:20:48+02:00</td>\n",
-       "      <td>2021-03-28 18:20:49.258826+02:00</td>\n",
-       "      <td>2022-04-15 22:52:04.397693+02:00</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "      id  campaign_id  customer_id                  opened_at  \\\n",
-       "0  19793           58       112597                        NaN   \n",
-       "1  14211           58       113666                        NaN   \n",
-       "2  13150           58       280561                        NaN   \n",
-       "3   7073           58       101007  2021-03-28 20:11:06+02:00   \n",
-       "4   5175           58       103972                        NaN   \n",
-       "5   4809           58       104599  2021-03-28 18:12:12+02:00   \n",
-       "6  11605           58       280579  2021-03-28 18:16:14+02:00   \n",
-       "7  18714           58        34173  2021-03-29 05:31:37+02:00   \n",
-       "8  17119           58        34992                        NaN   \n",
-       "9  14001           58        35343                        NaN   \n",
-       "\n",
-       "                     sent_at               delivered_at  \\\n",
-       "0  2021-03-28 18:01:09+02:00  2021-03-28 18:24:18+02:00   \n",
-       "1  2021-03-28 18:01:09+02:00  2021-03-28 18:21:02+02:00   \n",
-       "2  2021-03-28 18:00:59+02:00  2021-03-28 18:08:45+02:00   \n",
-       "3  2021-03-28 18:00:59+02:00  2021-03-28 18:09:47+02:00   \n",
-       "4  2021-03-28 18:01:06+02:00  2021-03-28 18:05:03+02:00   \n",
-       "5  2021-03-28 18:01:06+02:00  2021-03-28 18:04:18+02:00   \n",
-       "6  2021-03-28 18:00:59+02:00  2021-03-28 18:16:09+02:00   \n",
-       "7  2021-03-28 18:00:58+02:00  2021-03-28 18:31:02+02:00   \n",
-       "8  2021-03-28 18:00:58+02:00  2021-03-28 18:28:00+02:00   \n",
-       "9  2021-03-28 18:00:58+02:00  2021-03-28 18:20:48+02:00   \n",
-       "\n",
-       "                         created_at                        updated_at  \n",
-       "0  2021-03-28 18:34:20.616136+02:00  2022-04-15 22:52:04.397693+02:00  \n",
-       "1  2021-03-28 18:21:04.297213+02:00  2022-04-15 22:52:04.397693+02:00  \n",
-       "2  2021-03-28 18:18:49.991042+02:00  2022-04-15 22:52:04.397693+02:00  \n",
-       "3  2021-03-28 18:09:50.915354+02:00  2022-04-15 22:52:04.397693+02:00  \n",
-       "4  2021-03-28 18:05:08.507398+02:00  2022-04-15 22:52:04.397693+02:00  \n",
-       "5  2021-03-28 18:04:19.662496+02:00  2022-04-15 22:52:04.397693+02:00  \n",
-       "6  2021-03-28 18:16:10.974208+02:00  2022-04-15 22:52:04.397693+02:00  \n",
-       "7  2021-03-28 18:31:07.619032+02:00  2022-04-15 22:52:04.397693+02:00  \n",
-       "8  2021-03-28 18:28:03.574600+02:00  2022-04-15 22:52:04.397693+02:00  \n",
-       "9  2021-03-28 18:20:49.258826+02:00  2022-04-15 22:52:04.397693+02:00  "
-      ]
-     },
-     "execution_count": 240,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# 2. campaigns stats\n",
-    "\n",
-    "df1_campaign_stats.head(10)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 242,
-   "id": "0bf6f3d8-40f3-4268-a89d-fc962acd6c4a",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "id              0.000000\n",
-       "campaign_id     0.000000\n",
-       "customer_id     0.000000\n",
-       "opened_at       0.807672\n",
-       "sent_at         0.000969\n",
-       "delivered_at    0.021495\n",
-       "created_at      0.000000\n",
-       "updated_at      0.000000\n",
-       "dtype: float64"
-      ]
-     },
-     "execution_count": 242,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df1_campaign_stats.isna().sum() / df1_campaign_stats.shape[0]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 243,
-   "id": "2d3140db-fa86-41dd-81c9-2c6ca1e9402e",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "id               int64\n",
-       "campaign_id      int64\n",
-       "customer_id      int64\n",
-       "opened_at       object\n",
-       "sent_at         object\n",
-       "delivered_at    object\n",
-       "created_at      object\n",
-       "updated_at      object\n",
-       "dtype: object"
-      ]
-     },
-     "execution_count": 243,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df1_campaign_stats.dtypes"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 244,
-   "id": "e4cc1b7c-5956-41c3-ad59-2738c5f2778c",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "id              6214808\n",
-       "campaign_id         949\n",
-       "customer_id      130472\n",
-       "opened_at       1102699\n",
-       "sent_at          152184\n",
-       "delivered_at     380248\n",
-       "created_at      4295988\n",
-       "updated_at      2176478\n",
-       "dtype: int64"
-      ]
-     },
-     "execution_count": 244,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "print(df1_campaign_stats.shape[0])\n",
-    "print(df1_campaign_stats.nunique())"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 262,
-   "id": "8735c5dd-1d02-4dae-804e-70ee1be08df8",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
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-       "\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>id</th>\n",
-       "      <th>campaign_id</th>\n",
-       "      <th>customer_id</th>\n",
-       "      <th>opened_at</th>\n",
-       "      <th>sent_at</th>\n",
-       "      <th>delivered_at</th>\n",
-       "      <th>created_at</th>\n",
-       "      <th>updated_at</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>19793</td>\n",
-       "      <td>58</td>\n",
-       "      <td>112597</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>2021-03-28 18:01:09+02:00</td>\n",
-       "      <td>2021-03-28 18:24:18+02:00</td>\n",
-       "      <td>2021-03-28 18:34:20.616136+02:00</td>\n",
-       "      <td>2022-04-15 22:52:04.397693+02:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>14211</td>\n",
-       "      <td>58</td>\n",
-       "      <td>113666</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>2021-03-28 18:01:09+02:00</td>\n",
-       "      <td>2021-03-28 18:21:02+02:00</td>\n",
-       "      <td>2021-03-28 18:21:04.297213+02:00</td>\n",
-       "      <td>2022-04-15 22:52:04.397693+02:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>13150</td>\n",
-       "      <td>58</td>\n",
-       "      <td>280561</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>2021-03-28 18:00:59+02:00</td>\n",
-       "      <td>2021-03-28 18:08:45+02:00</td>\n",
-       "      <td>2021-03-28 18:18:49.991042+02:00</td>\n",
-       "      <td>2022-04-15 22:52:04.397693+02:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>7073</td>\n",
-       "      <td>58</td>\n",
-       "      <td>101007</td>\n",
-       "      <td>2021-03-28 20:11:06+02:00</td>\n",
-       "      <td>2021-03-28 18:00:59+02:00</td>\n",
-       "      <td>2021-03-28 18:09:47+02:00</td>\n",
-       "      <td>2021-03-28 18:09:50.915354+02:00</td>\n",
-       "      <td>2022-04-15 22:52:04.397693+02:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>5175</td>\n",
-       "      <td>58</td>\n",
-       "      <td>103972</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>2021-03-28 18:01:06+02:00</td>\n",
-       "      <td>2021-03-28 18:05:03+02:00</td>\n",
-       "      <td>2021-03-28 18:05:08.507398+02:00</td>\n",
-       "      <td>2022-04-15 22:52:04.397693+02:00</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "      id  campaign_id  customer_id                  opened_at  \\\n",
-       "0  19793           58       112597                        NaN   \n",
-       "1  14211           58       113666                        NaN   \n",
-       "2  13150           58       280561                        NaN   \n",
-       "3   7073           58       101007  2021-03-28 20:11:06+02:00   \n",
-       "4   5175           58       103972                        NaN   \n",
-       "\n",
-       "                     sent_at               delivered_at  \\\n",
-       "0  2021-03-28 18:01:09+02:00  2021-03-28 18:24:18+02:00   \n",
-       "1  2021-03-28 18:01:09+02:00  2021-03-28 18:21:02+02:00   \n",
-       "2  2021-03-28 18:00:59+02:00  2021-03-28 18:08:45+02:00   \n",
-       "3  2021-03-28 18:00:59+02:00  2021-03-28 18:09:47+02:00   \n",
-       "4  2021-03-28 18:01:06+02:00  2021-03-28 18:05:03+02:00   \n",
-       "\n",
-       "                         created_at                        updated_at  \n",
-       "0  2021-03-28 18:34:20.616136+02:00  2022-04-15 22:52:04.397693+02:00  \n",
-       "1  2021-03-28 18:21:04.297213+02:00  2022-04-15 22:52:04.397693+02:00  \n",
-       "2  2021-03-28 18:18:49.991042+02:00  2022-04-15 22:52:04.397693+02:00  \n",
-       "3  2021-03-28 18:09:50.915354+02:00  2022-04-15 22:52:04.397693+02:00  \n",
-       "4  2021-03-28 18:05:08.507398+02:00  2022-04-15 22:52:04.397693+02:00  "
-      ]
-     },
-     "execution_count": 262,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# 3. merge campaigns and campaigns stats\n",
-    "\n",
-    "df1_campaign_stats.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 273,
-   "id": "1e88efca-96b1-4977-b633-25d13830633e",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "array([1319243, 1319245, 1319247, 1319248, 1319250, 1319259, 1319260,\n",
-       "       1319262])"
-      ]
-     },
-     "execution_count": 273,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# étape préalable au merge : les identifiants de campagne des deux tabes sont - ils égaux ?\n",
-    "\n",
-    "id_campaigns = np.sort(df1_campaigns[\"id\"].unique())\n",
-    "id_campaigns_stats = np.sort(df1_campaign_stats[\"campaign_id\"].unique())\n",
-    "np.setdiff1d(id_campaigns, id_campaigns_stats)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 275,
-   "id": "43440e38-b141-43f1-9e0c-fa8559218e76",
-   "metadata": {},
-   "outputs": [
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-       "      <th></th>\n",
-       "      <th>id</th>\n",
-       "      <th>name</th>\n",
-       "      <th>service_id</th>\n",
-       "      <th>created_at</th>\n",
-       "      <th>updated_at</th>\n",
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-       "      <th>category</th>\n",
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-       "      <th>identifier</th>\n",
-       "      <th>sent_at</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>789</th>\n",
-       "      <td>1319243</td>\n",
-       "      <td>DRE Exposer le récit 13 mars</td>\n",
-       "      <td>111</td>\n",
-       "      <td>2021-09-24 11:56:09.307905+02:00</td>\n",
-       "      <td>2021-09-24 11:56:09.307905+02:00</td>\n",
-       "      <td>NaN</td>\n",
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-       "    <tr>\n",
-       "      <th>791</th>\n",
-       "      <td>1319245</td>\n",
-       "      <td>SDR Relance invit petit dej voyage voyages</td>\n",
-       "      <td>109</td>\n",
-       "      <td>2021-09-24 11:56:09.323919+02:00</td>\n",
-       "      <td>2021-09-24 11:56:09.323919+02:00</td>\n",
-       "      <td>NaN</td>\n",
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-       "      <td>2723d092b63885e0d7c260cc007e8b9d</td>\n",
-       "      <td>2020-02-24 00:00:00+01:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>793</th>\n",
-       "      <td>1319247</td>\n",
-       "      <td>Au Mucem en 2020</td>\n",
-       "      <td>97</td>\n",
-       "      <td>2021-09-24 11:56:09.339127+02:00</td>\n",
-       "      <td>2021-09-24 11:56:09.339127+02:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
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-       "      <td>2020-01-31 00:00:00+01:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>794</th>\n",
-       "      <td>1319248</td>\n",
-       "      <td>DRE Giono</td>\n",
-       "      <td>92</td>\n",
-       "      <td>2021-09-24 11:56:09.346887+02:00</td>\n",
-       "      <td>2021-09-24 11:56:09.346887+02:00</td>\n",
-       "      <td>NaN</td>\n",
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-       "      <td>0.0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>92cc227532d17e56e07902b254dfad10</td>\n",
-       "      <td>2020-01-29 00:00:00+01:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>796</th>\n",
-       "      <td>1319250</td>\n",
-       "      <td>Portes ouvertes \"Voyage, voyages\" au Mucem | M...</td>\n",
-       "      <td>77</td>\n",
-       "      <td>2021-09-24 11:56:09.362114+02:00</td>\n",
-       "      <td>2021-09-24 11:56:09.362114+02:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>28dd2c7955ce926456240b2ff0100bde</td>\n",
-       "      <td>2020-01-13 00:00:00+01:00</td>\n",
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-       "    <tr>\n",
-       "      <th>805</th>\n",
-       "      <td>1319259</td>\n",
-       "      <td>Save the date | Vernissage \"Voyage, voyages\" a...</td>\n",
-       "      <td>38</td>\n",
-       "      <td>2021-09-24 11:56:09.432720+02:00</td>\n",
-       "      <td>2021-09-24 11:56:09.432720+02:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>a5771bce93e200c36f7cd9dfd0e5deaa</td>\n",
-       "      <td>2019-11-20 00:00:00+01:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>806</th>\n",
-       "      <td>1319260</td>\n",
-       "      <td>Portes ouvertes \"Massilia Toy\" au Mucem | Merc...</td>\n",
-       "      <td>37</td>\n",
-       "      <td>2021-09-24 11:56:09.440465+02:00</td>\n",
-       "      <td>2021-09-24 11:56:09.440465+02:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>a5bfc9e07964f8dddeb95fc584cd965d</td>\n",
-       "      <td>2019-11-20 00:00:00+01:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>808</th>\n",
-       "      <td>1319262</td>\n",
-       "      <td>TENK S-1 Corse</td>\n",
-       "      <td>17</td>\n",
-       "      <td>2021-09-24 11:56:09.456460+02:00</td>\n",
-       "      <td>2021-09-24 11:56:09.456460+02:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>70efdf2ec9b086079795c442636b55fb</td>\n",
-       "      <td>2019-11-07 00:00:00+01:00</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "          id                                               name  service_id  \\\n",
-       "789  1319243                       DRE Exposer le récit 13 mars         111   \n",
-       "791  1319245         SDR Relance invit petit dej voyage voyages         109   \n",
-       "793  1319247                                   Au Mucem en 2020          97   \n",
-       "794  1319248                                          DRE Giono          92   \n",
-       "796  1319250  Portes ouvertes \"Voyage, voyages\" au Mucem | M...          77   \n",
-       "805  1319259  Save the date | Vernissage \"Voyage, voyages\" a...          38   \n",
-       "806  1319260  Portes ouvertes \"Massilia Toy\" au Mucem | Merc...          37   \n",
-       "808  1319262                                     TENK S-1 Corse          17   \n",
-       "\n",
-       "                           created_at                        updated_at  \\\n",
-       "789  2021-09-24 11:56:09.307905+02:00  2021-09-24 11:56:09.307905+02:00   \n",
-       "791  2021-09-24 11:56:09.323919+02:00  2021-09-24 11:56:09.323919+02:00   \n",
-       "793  2021-09-24 11:56:09.339127+02:00  2021-09-24 11:56:09.339127+02:00   \n",
-       "794  2021-09-24 11:56:09.346887+02:00  2021-09-24 11:56:09.346887+02:00   \n",
-       "796  2021-09-24 11:56:09.362114+02:00  2021-09-24 11:56:09.362114+02:00   \n",
-       "805  2021-09-24 11:56:09.432720+02:00  2021-09-24 11:56:09.432720+02:00   \n",
-       "806  2021-09-24 11:56:09.440465+02:00  2021-09-24 11:56:09.440465+02:00   \n",
-       "808  2021-09-24 11:56:09.456460+02:00  2021-09-24 11:56:09.456460+02:00   \n",
-       "\n",
-       "     process_id  report_url  category  to_be_synced  \\\n",
-       "789         NaN         NaN       0.0         False   \n",
-       "791         NaN         NaN       0.0         False   \n",
-       "793         NaN         NaN       0.0         False   \n",
-       "794         NaN         NaN       0.0         False   \n",
-       "796         NaN         NaN       0.0         False   \n",
-       "805         NaN         NaN       0.0         False   \n",
-       "806         NaN         NaN       0.0         False   \n",
-       "808         NaN         NaN       0.0         False   \n",
-       "\n",
-       "                           identifier                    sent_at  \n",
-       "789  698d51a19d8a121ce581499d7b701668  2020-03-03 00:00:00+01:00  \n",
-       "791  2723d092b63885e0d7c260cc007e8b9d  2020-02-24 00:00:00+01:00  \n",
-       "793  e2ef524fbf3d9fe611d5a8e90fefdc9c  2020-01-31 00:00:00+01:00  \n",
-       "794  92cc227532d17e56e07902b254dfad10  2020-01-29 00:00:00+01:00  \n",
-       "796  28dd2c7955ce926456240b2ff0100bde  2020-01-13 00:00:00+01:00  \n",
-       "805  a5771bce93e200c36f7cd9dfd0e5deaa  2019-11-20 00:00:00+01:00  \n",
-       "806  a5bfc9e07964f8dddeb95fc584cd965d  2019-11-20 00:00:00+01:00  \n",
-       "808  70efdf2ec9b086079795c442636b55fb  2019-11-07 00:00:00+01:00  "
-      ]
-     },
-     "execution_count": 275,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# ci-dessous des campagnes sans customer associé dans la table\n",
-    "# elles seront retirées lors du merge car pas utiles à notre étude\n",
-    "# on fera un merge à gauche en se basant sur campaign_stats \n",
-    "\n",
-    "df1_campaigns[df1_campaigns[\"id\"].isin([1319243, 1319245, 1319247, 1319248, 1319250, 1319259, 1319260,\n",
-    "       1319262])]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 338,
-   "id": "6cbcd261-a6ba-497c-929b-29a714e1812d",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
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-       "      <th>0</th>\n",
-       "      <td>19793</td>\n",
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-       "      <td>2022-04-15 22:52:04.397693+02:00</td>\n",
-       "      <td>Le Mucem chez vous, gardons le lien #22</td>\n",
-       "      <td>404</td>\n",
-       "      <td>2021-03-28 18:01:45.448313+02:00</td>\n",
-       "      <td>2021-09-24 11:56:07.723413+02:00</td>\n",
-       "      <td>2021-03-28 00:00:00+01:00</td>\n",
-       "      <td>4f4adcbf8c6f66dcfc8a3282ac2bf10a</td>\n",
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-       "      <th>1</th>\n",
-       "      <td>14211</td>\n",
-       "      <td>58</td>\n",
-       "      <td>113666</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>2021-03-28 18:01:09+02:00</td>\n",
-       "      <td>2021-03-28 18:21:02+02:00</td>\n",
-       "      <td>2021-03-28 18:21:04.297213+02:00</td>\n",
-       "      <td>2022-04-15 22:52:04.397693+02:00</td>\n",
-       "      <td>Le Mucem chez vous, gardons le lien #22</td>\n",
-       "      <td>404</td>\n",
-       "      <td>2021-03-28 18:01:45.448313+02:00</td>\n",
-       "      <td>2021-09-24 11:56:07.723413+02:00</td>\n",
-       "      <td>2021-03-28 00:00:00+01:00</td>\n",
-       "      <td>4f4adcbf8c6f66dcfc8a3282ac2bf10a</td>\n",
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-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>13150</td>\n",
-       "      <td>58</td>\n",
-       "      <td>280561</td>\n",
-       "      <td>NaN</td>\n",
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-       "      <td>2021-03-28 18:08:45+02:00</td>\n",
-       "      <td>2021-03-28 18:18:49.991042+02:00</td>\n",
-       "      <td>2022-04-15 22:52:04.397693+02:00</td>\n",
-       "      <td>Le Mucem chez vous, gardons le lien #22</td>\n",
-       "      <td>404</td>\n",
-       "      <td>2021-03-28 18:01:45.448313+02:00</td>\n",
-       "      <td>2021-09-24 11:56:07.723413+02:00</td>\n",
-       "      <td>2021-03-28 00:00:00+01:00</td>\n",
-       "      <td>4f4adcbf8c6f66dcfc8a3282ac2bf10a</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>7073</td>\n",
-       "      <td>58</td>\n",
-       "      <td>101007</td>\n",
-       "      <td>2021-03-28 20:11:06+02:00</td>\n",
-       "      <td>2021-03-28 18:00:59+02:00</td>\n",
-       "      <td>2021-03-28 18:09:47+02:00</td>\n",
-       "      <td>2021-03-28 18:09:50.915354+02:00</td>\n",
-       "      <td>2022-04-15 22:52:04.397693+02:00</td>\n",
-       "      <td>Le Mucem chez vous, gardons le lien #22</td>\n",
-       "      <td>404</td>\n",
-       "      <td>2021-03-28 18:01:45.448313+02:00</td>\n",
-       "      <td>2021-09-24 11:56:07.723413+02:00</td>\n",
-       "      <td>2021-03-28 00:00:00+01:00</td>\n",
-       "      <td>4f4adcbf8c6f66dcfc8a3282ac2bf10a</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>5175</td>\n",
-       "      <td>58</td>\n",
-       "      <td>103972</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>2021-03-28 18:01:06+02:00</td>\n",
-       "      <td>2021-03-28 18:05:03+02:00</td>\n",
-       "      <td>2021-03-28 18:05:08.507398+02:00</td>\n",
-       "      <td>2022-04-15 22:52:04.397693+02:00</td>\n",
-       "      <td>Le Mucem chez vous, gardons le lien #22</td>\n",
-       "      <td>404</td>\n",
-       "      <td>2021-03-28 18:01:45.448313+02:00</td>\n",
-       "      <td>2021-09-24 11:56:07.723413+02:00</td>\n",
-       "      <td>2021-03-28 00:00:00+01:00</td>\n",
-       "      <td>4f4adcbf8c6f66dcfc8a3282ac2bf10a</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "      id  campaign_id  customer_id                  opened_at  \\\n",
-       "0  19793           58       112597                        NaN   \n",
-       "1  14211           58       113666                        NaN   \n",
-       "2  13150           58       280561                        NaN   \n",
-       "3   7073           58       101007  2021-03-28 20:11:06+02:00   \n",
-       "4   5175           58       103972                        NaN   \n",
-       "\n",
-       "                     sent_at               delivered_at  \\\n",
-       "0  2021-03-28 18:01:09+02:00  2021-03-28 18:24:18+02:00   \n",
-       "1  2021-03-28 18:01:09+02:00  2021-03-28 18:21:02+02:00   \n",
-       "2  2021-03-28 18:00:59+02:00  2021-03-28 18:08:45+02:00   \n",
-       "3  2021-03-28 18:00:59+02:00  2021-03-28 18:09:47+02:00   \n",
-       "4  2021-03-28 18:01:06+02:00  2021-03-28 18:05:03+02:00   \n",
-       "\n",
-       "                         created_at                        updated_at  \\\n",
-       "0  2021-03-28 18:34:20.616136+02:00  2022-04-15 22:52:04.397693+02:00   \n",
-       "1  2021-03-28 18:21:04.297213+02:00  2022-04-15 22:52:04.397693+02:00   \n",
-       "2  2021-03-28 18:18:49.991042+02:00  2022-04-15 22:52:04.397693+02:00   \n",
-       "3  2021-03-28 18:09:50.915354+02:00  2022-04-15 22:52:04.397693+02:00   \n",
-       "4  2021-03-28 18:05:08.507398+02:00  2022-04-15 22:52:04.397693+02:00   \n",
-       "\n",
-       "                             campaign_name  campaign_service_id  \\\n",
-       "0  Le Mucem chez vous, gardons le lien #22                  404   \n",
-       "1  Le Mucem chez vous, gardons le lien #22                  404   \n",
-       "2  Le Mucem chez vous, gardons le lien #22                  404   \n",
-       "3  Le Mucem chez vous, gardons le lien #22                  404   \n",
-       "4  Le Mucem chez vous, gardons le lien #22                  404   \n",
-       "\n",
-       "                campaign_created_at               campaign_updated_at  \\\n",
-       "0  2021-03-28 18:01:45.448313+02:00  2021-09-24 11:56:07.723413+02:00   \n",
-       "1  2021-03-28 18:01:45.448313+02:00  2021-09-24 11:56:07.723413+02:00   \n",
-       "2  2021-03-28 18:01:45.448313+02:00  2021-09-24 11:56:07.723413+02:00   \n",
-       "3  2021-03-28 18:01:45.448313+02:00  2021-09-24 11:56:07.723413+02:00   \n",
-       "4  2021-03-28 18:01:45.448313+02:00  2021-09-24 11:56:07.723413+02:00   \n",
-       "\n",
-       "            campaign_sent_at               campaign_identifier  \n",
-       "0  2021-03-28 00:00:00+01:00  4f4adcbf8c6f66dcfc8a3282ac2bf10a  \n",
-       "1  2021-03-28 00:00:00+01:00  4f4adcbf8c6f66dcfc8a3282ac2bf10a  \n",
-       "2  2021-03-28 00:00:00+01:00  4f4adcbf8c6f66dcfc8a3282ac2bf10a  \n",
-       "3  2021-03-28 00:00:00+01:00  4f4adcbf8c6f66dcfc8a3282ac2bf10a  \n",
-       "4  2021-03-28 00:00:00+01:00  4f4adcbf8c6f66dcfc8a3282ac2bf10a  "
-      ]
-     },
-     "execution_count": 338,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# merge \n",
-    "\n",
-    "# de campaigns on supprile les var valant tjrs NaN et to_be_synced qui semble pas très informatif\n",
-    "\n",
-    "df1_campaigns_full = pd.merge(df1_campaign_stats, \n",
-    "                              df1_campaigns[[\"id\", \"name\", \"service_id\", \"created_at\", \"updated_at\", \"sent_at\", \"identifier\"]].add_prefix(\"campaign_\"),\n",
-    "                              on = \"campaign_id\", how = \"left\")\n",
-    "df1_campaigns_full.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 328,
-   "id": "81e549e9-d165-439a-a824-17f053a33983",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "id                           0\n",
-       "campaign_id                  0\n",
-       "customer_id                  0\n",
-       "opened_at              5019527\n",
-       "sent_at                   6023\n",
-       "delivered_at            133590\n",
-       "created_at                   0\n",
-       "updated_at                   0\n",
-       "campaign_name                0\n",
-       "campaign_service_id          0\n",
-       "campaign_created_at          0\n",
-       "campaign_updated_at          0\n",
-       "campaign_sent_at             6\n",
-       "campaign_identifier          0\n",
-       "dtype: int64"
-      ]
-     },
-     "execution_count": 328,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df1_campaigns_full.isna().sum()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 297,
-   "id": "aa249cdc-e0ac-41ec-b6f8-b9459f31eca3",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# lien entre sent at et campaign sent at ? \n",
-    "# à quoi correspond la date de la campagne, est-ce le premier envoi à un client ?\n",
-    "\n",
-    "# first step : transform dates to have the good format\n",
-    "# VERY time-consuming bc the df has 6M lines !!!!\n",
-    "\n",
-    "from dateutil import parser\n",
-    "\n",
-    "def convert_to_datetime(column):\n",
-    "    return column.apply(lambda x: parser.parse(str(x)) if pd.notna(x) else pd.NaT)\n",
-    "\n",
-    "# Liste des colonnes à convertir\n",
-    "columns_to_convert = [\"sent_at\", \"delivered_at\", \"created_at\", \"updated_at\", \n",
-    "                      \"campaign_sent_at\", \"campaign_created_at\", \"campaign_updated_at\"]\n",
-    "\n",
-    "# Appliquer la fonction à chaque colonne spécifiée\n",
-    "df1_campaigns_full[columns_to_convert] = df1_campaigns_full[columns_to_convert].apply(convert_to_datetime)\n",
-    "\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 329,
-   "id": "f2b05227-e8d8-4ca8-8359-dc3471841763",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "UTC: 2021-03-28 16:01:09+00:00\n",
-      "Local: 2021-03-28 18:01:09+02:00\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Exemple d'élément\n",
-    "date_string = '2021-03-28 18:01:09+02:00'\n",
-    "\n",
-    "# Convertir en datetime en utilisant pd.to_datetime avec utc=True\n",
-    "datetime_object_utc = pd.to_datetime(date_string, utc=True)\n",
-    "print(\"UTC:\", datetime_object_utc)\n",
-    "\n",
-    "# Convertir en datetime en utilisant pd.to_datetime avec utc=False (ou sans spécifier utc)\n",
-    "datetime_object_local = pd.to_datetime(date_string, utc=False)\n",
-    "print(\"Local:\", datetime_object_local)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 332,
-   "id": "63fa4af8-0c28-4b20-97e2-560da4d4b77e",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "UTC: 2021-03-28 16:00:00+00:00\n",
-      "Différence en heures: 1.5\n"
-     ]
-    }
-   ],
-   "source": [
-    "import pandas as pd\n",
-    "\n",
-    "# Exemple d'élément\n",
-    "date_string = '2021-03-28 18:00:00+02:00'\n",
-    "\n",
-    "# Convertir en datetime en utilisant pd.to_datetime avec utc=True\n",
-    "datetime_object_utc = pd.to_datetime(date_string, utc=True)\n",
-    "\n",
-    "# Afficher l'objet datetime en UTC\n",
-    "print(\"UTC:\", datetime_object_utc)\n",
-    "\n",
-    "# Effectuer un calcul de différence entre deux dates en UTC\n",
-    "other_date_string = '2021-03-28 20:30:00+03:00'\n",
-    "other_datetime_object_utc = pd.to_datetime(other_date_string, utc=True)\n",
-    "\n",
-    "# Calculer la différence entre les dates\n",
-    "time_difference = other_datetime_object_utc - datetime_object_utc\n",
-    "\n",
-    "# Afficher la différence\n",
-    "print(\"Différence en heures:\", time_difference.total_seconds() / 3600)\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 321,
-   "id": "9388c008-e2a5-463d-95d2-8f5fea0d6a5a",
-   "metadata": {},
-   "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>id</th>\n",
-       "      <th>campaign_id</th>\n",
-       "      <th>customer_id</th>\n",
-       "      <th>opened_at</th>\n",
-       "      <th>sent_at</th>\n",
-       "      <th>delivered_at</th>\n",
-       "      <th>created_at</th>\n",
-       "      <th>updated_at</th>\n",
-       "      <th>campaign_name</th>\n",
-       "      <th>campaign_service_id</th>\n",
-       "      <th>campaign_created_at</th>\n",
-       "      <th>campaign_updated_at</th>\n",
-       "      <th>campaign_sent_at</th>\n",
-       "      <th>campaign_identifier</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>19793</td>\n",
-       "      <td>58</td>\n",
-       "      <td>112597</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>2021-03-28 18:01:09+02:00</td>\n",
-       "      <td>2021-03-28 18:24:18+02:00</td>\n",
-       "      <td>2021-03-28 18:34:20.616136+02:00</td>\n",
-       "      <td>2022-04-15 22:52:04.397693+02:00</td>\n",
-       "      <td>Le Mucem chez vous, gardons le lien #22</td>\n",
-       "      <td>404</td>\n",
-       "      <td>2021-03-28 18:01:45.448313+02:00</td>\n",
-       "      <td>2021-09-24 11:56:07.723413+02:00</td>\n",
-       "      <td>2021-03-28 00:00:00+01:00</td>\n",
-       "      <td>4f4adcbf8c6f66dcfc8a3282ac2bf10a</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>14211</td>\n",
-       "      <td>58</td>\n",
-       "      <td>113666</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>2021-03-28 18:01:09+02:00</td>\n",
-       "      <td>2021-03-28 18:21:02+02:00</td>\n",
-       "      <td>2021-03-28 18:21:04.297213+02:00</td>\n",
-       "      <td>2022-04-15 22:52:04.397693+02:00</td>\n",
-       "      <td>Le Mucem chez vous, gardons le lien #22</td>\n",
-       "      <td>404</td>\n",
-       "      <td>2021-03-28 18:01:45.448313+02:00</td>\n",
-       "      <td>2021-09-24 11:56:07.723413+02:00</td>\n",
-       "      <td>2021-03-28 00:00:00+01:00</td>\n",
-       "      <td>4f4adcbf8c6f66dcfc8a3282ac2bf10a</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>13150</td>\n",
-       "      <td>58</td>\n",
-       "      <td>280561</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>2021-03-28 18:00:59+02:00</td>\n",
-       "      <td>2021-03-28 18:08:45+02:00</td>\n",
-       "      <td>2021-03-28 18:18:49.991042+02:00</td>\n",
-       "      <td>2022-04-15 22:52:04.397693+02:00</td>\n",
-       "      <td>Le Mucem chez vous, gardons le lien #22</td>\n",
-       "      <td>404</td>\n",
-       "      <td>2021-03-28 18:01:45.448313+02:00</td>\n",
-       "      <td>2021-09-24 11:56:07.723413+02:00</td>\n",
-       "      <td>2021-03-28 00:00:00+01:00</td>\n",
-       "      <td>4f4adcbf8c6f66dcfc8a3282ac2bf10a</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>7073</td>\n",
-       "      <td>58</td>\n",
-       "      <td>101007</td>\n",
-       "      <td>2021-03-28 20:11:06+02:00</td>\n",
-       "      <td>2021-03-28 18:00:59+02:00</td>\n",
-       "      <td>2021-03-28 18:09:47+02:00</td>\n",
-       "      <td>2021-03-28 18:09:50.915354+02:00</td>\n",
-       "      <td>2022-04-15 22:52:04.397693+02:00</td>\n",
-       "      <td>Le Mucem chez vous, gardons le lien #22</td>\n",
-       "      <td>404</td>\n",
-       "      <td>2021-03-28 18:01:45.448313+02:00</td>\n",
-       "      <td>2021-09-24 11:56:07.723413+02:00</td>\n",
-       "      <td>2021-03-28 00:00:00+01:00</td>\n",
-       "      <td>4f4adcbf8c6f66dcfc8a3282ac2bf10a</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>5175</td>\n",
-       "      <td>58</td>\n",
-       "      <td>103972</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>2021-03-28 18:01:06+02:00</td>\n",
-       "      <td>2021-03-28 18:05:03+02:00</td>\n",
-       "      <td>2021-03-28 18:05:08.507398+02:00</td>\n",
-       "      <td>2022-04-15 22:52:04.397693+02:00</td>\n",
-       "      <td>Le Mucem chez vous, gardons le lien #22</td>\n",
-       "      <td>404</td>\n",
-       "      <td>2021-03-28 18:01:45.448313+02:00</td>\n",
-       "      <td>2021-09-24 11:56:07.723413+02:00</td>\n",
-       "      <td>2021-03-28 00:00:00+01:00</td>\n",
-       "      <td>4f4adcbf8c6f66dcfc8a3282ac2bf10a</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "      id  campaign_id  customer_id                  opened_at  \\\n",
-       "0  19793           58       112597                        NaN   \n",
-       "1  14211           58       113666                        NaN   \n",
-       "2  13150           58       280561                        NaN   \n",
-       "3   7073           58       101007  2021-03-28 20:11:06+02:00   \n",
-       "4   5175           58       103972                        NaN   \n",
-       "\n",
-       "                    sent_at              delivered_at  \\\n",
-       "0 2021-03-28 18:01:09+02:00 2021-03-28 18:24:18+02:00   \n",
-       "1 2021-03-28 18:01:09+02:00 2021-03-28 18:21:02+02:00   \n",
-       "2 2021-03-28 18:00:59+02:00 2021-03-28 18:08:45+02:00   \n",
-       "3 2021-03-28 18:00:59+02:00 2021-03-28 18:09:47+02:00   \n",
-       "4 2021-03-28 18:01:06+02:00 2021-03-28 18:05:03+02:00   \n",
-       "\n",
-       "                        created_at                       updated_at  \\\n",
-       "0 2021-03-28 18:34:20.616136+02:00 2022-04-15 22:52:04.397693+02:00   \n",
-       "1 2021-03-28 18:21:04.297213+02:00 2022-04-15 22:52:04.397693+02:00   \n",
-       "2 2021-03-28 18:18:49.991042+02:00 2022-04-15 22:52:04.397693+02:00   \n",
-       "3 2021-03-28 18:09:50.915354+02:00 2022-04-15 22:52:04.397693+02:00   \n",
-       "4 2021-03-28 18:05:08.507398+02:00 2022-04-15 22:52:04.397693+02:00   \n",
-       "\n",
-       "                             campaign_name  campaign_service_id  \\\n",
-       "0  Le Mucem chez vous, gardons le lien #22                  404   \n",
-       "1  Le Mucem chez vous, gardons le lien #22                  404   \n",
-       "2  Le Mucem chez vous, gardons le lien #22                  404   \n",
-       "3  Le Mucem chez vous, gardons le lien #22                  404   \n",
-       "4  Le Mucem chez vous, gardons le lien #22                  404   \n",
-       "\n",
-       "               campaign_created_at              campaign_updated_at  \\\n",
-       "0 2021-03-28 18:01:45.448313+02:00 2021-09-24 11:56:07.723413+02:00   \n",
-       "1 2021-03-28 18:01:45.448313+02:00 2021-09-24 11:56:07.723413+02:00   \n",
-       "2 2021-03-28 18:01:45.448313+02:00 2021-09-24 11:56:07.723413+02:00   \n",
-       "3 2021-03-28 18:01:45.448313+02:00 2021-09-24 11:56:07.723413+02:00   \n",
-       "4 2021-03-28 18:01:45.448313+02:00 2021-09-24 11:56:07.723413+02:00   \n",
-       "\n",
-       "           campaign_sent_at               campaign_identifier  \n",
-       "0 2021-03-28 00:00:00+01:00  4f4adcbf8c6f66dcfc8a3282ac2bf10a  \n",
-       "1 2021-03-28 00:00:00+01:00  4f4adcbf8c6f66dcfc8a3282ac2bf10a  \n",
-       "2 2021-03-28 00:00:00+01:00  4f4adcbf8c6f66dcfc8a3282ac2bf10a  \n",
-       "3 2021-03-28 00:00:00+01:00  4f4adcbf8c6f66dcfc8a3282ac2bf10a  \n",
-       "4 2021-03-28 00:00:00+01:00  4f4adcbf8c6f66dcfc8a3282ac2bf10a  "
-      ]
-     },
-     "execution_count": 321,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# etape supp pour s'assurer que les dates non convertibles sont bien des Nan\n",
-    "\n",
-    "df1_campaigns_full[columns_to_convert] = df1_campaigns_full[columns_to_convert].apply(pd.to_datetime, errors='coerce')\n",
-    "df1_campaigns_full.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 333,
-   "id": "edb2f622-bf19-4c51-8213-1b8a3dacf72e",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/tmp/ipykernel_624/1309539541.py:3: FutureWarning: In a future version of pandas, parsing datetimes with mixed time zones will raise an error unless `utc=True`. Please specify `utc=True` to opt in to the new behaviour and silence this warning. To create a `Series` with mixed offsets and `object` dtype, please use `apply` and `datetime.datetime.strptime`\n",
-      "  df1_campaigns_full[\"sent_at\"] = pd.to_datetime(df1_campaigns_full[\"sent_at\"] , utc=False).astype('datetime64[ns]')\n"
-     ]
-    },
-    {
-     "ename": "ValueError",
-     "evalue": "Tz-aware datetime.datetime cannot be converted to datetime64 unless utc=True, at position 18",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
-      "Cell \u001b[0;32mIn[333], line 3\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;66;03m# autre methode\u001b[39;00m\n\u001b[0;32m----> 3\u001b[0m df1_campaigns_full[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124msent_at\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[43mpd\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mto_datetime\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdf1_campaigns_full\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43msent_at\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m \u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mutc\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mastype\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mdatetime64[ns]\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\n",
-      "File \u001b[0;32m/opt/mamba/lib/python3.10/site-packages/pandas/core/generic.py:6534\u001b[0m, in \u001b[0;36mNDFrame.astype\u001b[0;34m(self, dtype, copy, errors)\u001b[0m\n\u001b[1;32m   6530\u001b[0m     results \u001b[38;5;241m=\u001b[39m [ser\u001b[38;5;241m.\u001b[39mastype(dtype, copy\u001b[38;5;241m=\u001b[39mcopy) \u001b[38;5;28;01mfor\u001b[39;00m _, ser \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mitems()]\n\u001b[1;32m   6532\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m   6533\u001b[0m     \u001b[38;5;66;03m# else, only a single dtype is given\u001b[39;00m\n\u001b[0;32m-> 6534\u001b[0m     new_data \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_mgr\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mastype\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdtype\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdtype\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcopy\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcopy\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43merrors\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43merrors\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   6535\u001b[0m     res \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_constructor_from_mgr(new_data, axes\u001b[38;5;241m=\u001b[39mnew_data\u001b[38;5;241m.\u001b[39maxes)\n\u001b[1;32m   6536\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m res\u001b[38;5;241m.\u001b[39m__finalize__(\u001b[38;5;28mself\u001b[39m, method\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mastype\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n",
-      "File \u001b[0;32m/opt/mamba/lib/python3.10/site-packages/pandas/core/internals/managers.py:414\u001b[0m, in \u001b[0;36mBaseBlockManager.astype\u001b[0;34m(self, dtype, copy, errors)\u001b[0m\n\u001b[1;32m    411\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m using_copy_on_write():\n\u001b[1;32m    412\u001b[0m     copy \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mFalse\u001b[39;00m\n\u001b[0;32m--> 414\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mapply\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    415\u001b[0m \u001b[43m    \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mastype\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m    416\u001b[0m \u001b[43m    \u001b[49m\u001b[43mdtype\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdtype\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    417\u001b[0m \u001b[43m    \u001b[49m\u001b[43mcopy\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcopy\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    418\u001b[0m \u001b[43m    \u001b[49m\u001b[43merrors\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43merrors\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    419\u001b[0m \u001b[43m    \u001b[49m\u001b[43musing_cow\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43musing_copy_on_write\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    420\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n",
-      "File \u001b[0;32m/opt/mamba/lib/python3.10/site-packages/pandas/core/internals/managers.py:354\u001b[0m, in \u001b[0;36mBaseBlockManager.apply\u001b[0;34m(self, f, align_keys, **kwargs)\u001b[0m\n\u001b[1;32m    352\u001b[0m         applied \u001b[38;5;241m=\u001b[39m b\u001b[38;5;241m.\u001b[39mapply(f, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[1;32m    353\u001b[0m     \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 354\u001b[0m         applied \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mgetattr\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mb\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mf\u001b[49m\u001b[43m)\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    355\u001b[0m     result_blocks \u001b[38;5;241m=\u001b[39m extend_blocks(applied, result_blocks)\n\u001b[1;32m    357\u001b[0m out \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mtype\u001b[39m(\u001b[38;5;28mself\u001b[39m)\u001b[38;5;241m.\u001b[39mfrom_blocks(result_blocks, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39maxes)\n",
-      "File \u001b[0;32m/opt/mamba/lib/python3.10/site-packages/pandas/core/internals/blocks.py:616\u001b[0m, in \u001b[0;36mBlock.astype\u001b[0;34m(self, dtype, copy, errors, using_cow)\u001b[0m\n\u001b[1;32m    596\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m    597\u001b[0m \u001b[38;5;124;03mCoerce to the new dtype.\u001b[39;00m\n\u001b[1;32m    598\u001b[0m \n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    612\u001b[0m \u001b[38;5;124;03mBlock\u001b[39;00m\n\u001b[1;32m    613\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m    614\u001b[0m values \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mvalues\n\u001b[0;32m--> 616\u001b[0m new_values \u001b[38;5;241m=\u001b[39m \u001b[43mastype_array_safe\u001b[49m\u001b[43m(\u001b[49m\u001b[43mvalues\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdtype\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcopy\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcopy\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43merrors\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43merrors\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    618\u001b[0m new_values \u001b[38;5;241m=\u001b[39m maybe_coerce_values(new_values)\n\u001b[1;32m    620\u001b[0m refs \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n",
-      "File \u001b[0;32m/opt/mamba/lib/python3.10/site-packages/pandas/core/dtypes/astype.py:238\u001b[0m, in \u001b[0;36mastype_array_safe\u001b[0;34m(values, dtype, copy, errors)\u001b[0m\n\u001b[1;32m    235\u001b[0m     dtype \u001b[38;5;241m=\u001b[39m dtype\u001b[38;5;241m.\u001b[39mnumpy_dtype\n\u001b[1;32m    237\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 238\u001b[0m     new_values \u001b[38;5;241m=\u001b[39m \u001b[43mastype_array\u001b[49m\u001b[43m(\u001b[49m\u001b[43mvalues\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdtype\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcopy\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcopy\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    239\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m (\u001b[38;5;167;01mValueError\u001b[39;00m, \u001b[38;5;167;01mTypeError\u001b[39;00m):\n\u001b[1;32m    240\u001b[0m     \u001b[38;5;66;03m# e.g. _astype_nansafe can fail on object-dtype of strings\u001b[39;00m\n\u001b[1;32m    241\u001b[0m     \u001b[38;5;66;03m#  trying to convert to float\u001b[39;00m\n\u001b[1;32m    242\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m errors \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mignore\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n",
-      "File \u001b[0;32m/opt/mamba/lib/python3.10/site-packages/pandas/core/dtypes/astype.py:183\u001b[0m, in \u001b[0;36mastype_array\u001b[0;34m(values, dtype, copy)\u001b[0m\n\u001b[1;32m    180\u001b[0m     values \u001b[38;5;241m=\u001b[39m values\u001b[38;5;241m.\u001b[39mastype(dtype, copy\u001b[38;5;241m=\u001b[39mcopy)\n\u001b[1;32m    182\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 183\u001b[0m     values \u001b[38;5;241m=\u001b[39m \u001b[43m_astype_nansafe\u001b[49m\u001b[43m(\u001b[49m\u001b[43mvalues\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdtype\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcopy\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcopy\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    185\u001b[0m \u001b[38;5;66;03m# in pandas we don't store numpy str dtypes, so convert to object\u001b[39;00m\n\u001b[1;32m    186\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(dtype, np\u001b[38;5;241m.\u001b[39mdtype) \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28missubclass\u001b[39m(values\u001b[38;5;241m.\u001b[39mdtype\u001b[38;5;241m.\u001b[39mtype, \u001b[38;5;28mstr\u001b[39m):\n",
-      "File \u001b[0;32m/opt/mamba/lib/python3.10/site-packages/pandas/core/dtypes/astype.py:110\u001b[0m, in \u001b[0;36m_astype_nansafe\u001b[0;34m(arr, dtype, copy, skipna)\u001b[0m\n\u001b[1;32m    107\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m lib\u001b[38;5;241m.\u001b[39mis_np_dtype(dtype, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mM\u001b[39m\u001b[38;5;124m\"\u001b[39m):\n\u001b[1;32m    108\u001b[0m     \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mpandas\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m to_datetime\n\u001b[0;32m--> 110\u001b[0m     dti \u001b[38;5;241m=\u001b[39m \u001b[43mto_datetime\u001b[49m\u001b[43m(\u001b[49m\u001b[43marr\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mravel\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    111\u001b[0m     dta \u001b[38;5;241m=\u001b[39m dti\u001b[38;5;241m.\u001b[39m_data\u001b[38;5;241m.\u001b[39mreshape(arr\u001b[38;5;241m.\u001b[39mshape)\n\u001b[1;32m    112\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m dta\u001b[38;5;241m.\u001b[39mastype(dtype, copy\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m)\u001b[38;5;241m.\u001b[39m_ndarray\n",
-      "File \u001b[0;32m/opt/mamba/lib/python3.10/site-packages/pandas/core/tools/datetimes.py:1131\u001b[0m, in \u001b[0;36mto_datetime\u001b[0;34m(arg, errors, dayfirst, yearfirst, utc, format, exact, unit, infer_datetime_format, origin, cache)\u001b[0m\n\u001b[1;32m   1123\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m   1124\u001b[0m     \u001b[38;5;66;03m# error: Argument 1 to \"_maybe_cache\" has incompatible type\u001b[39;00m\n\u001b[1;32m   1125\u001b[0m     \u001b[38;5;66;03m# \"Union[float, str, datetime, List[Any], Tuple[Any, ...], ExtensionArray,\u001b[39;00m\n\u001b[1;32m   1126\u001b[0m     \u001b[38;5;66;03m# ndarray[Any, Any], Series]\"; expected \"Union[List[Any], Tuple[Any, ...],\u001b[39;00m\n\u001b[1;32m   1127\u001b[0m     \u001b[38;5;66;03m# Union[Union[ExtensionArray, ndarray[Any, Any]], Index, Series], Series]\"\u001b[39;00m\n\u001b[1;32m   1128\u001b[0m     argc \u001b[38;5;241m=\u001b[39m cast(\n\u001b[1;32m   1129\u001b[0m         Union[\u001b[38;5;28mlist\u001b[39m, \u001b[38;5;28mtuple\u001b[39m, ExtensionArray, np\u001b[38;5;241m.\u001b[39mndarray, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mSeries\u001b[39m\u001b[38;5;124m\"\u001b[39m, Index], arg\n\u001b[1;32m   1130\u001b[0m     )\n\u001b[0;32m-> 1131\u001b[0m     cache_array \u001b[38;5;241m=\u001b[39m \u001b[43m_maybe_cache\u001b[49m\u001b[43m(\u001b[49m\u001b[43margc\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mformat\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcache\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mconvert_listlike\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1132\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m OutOfBoundsDatetime:\n\u001b[1;32m   1133\u001b[0m     \u001b[38;5;66;03m# caching attempts to create a DatetimeIndex, which may raise\u001b[39;00m\n\u001b[1;32m   1134\u001b[0m     \u001b[38;5;66;03m# an OOB. If that's the desired behavior, then just reraise...\u001b[39;00m\n\u001b[1;32m   1135\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m errors \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mraise\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n",
-      "File \u001b[0;32m/opt/mamba/lib/python3.10/site-packages/pandas/core/tools/datetimes.py:254\u001b[0m, in \u001b[0;36m_maybe_cache\u001b[0;34m(arg, format, cache, convert_listlike)\u001b[0m\n\u001b[1;32m    252\u001b[0m unique_dates \u001b[38;5;241m=\u001b[39m unique(arg)\n\u001b[1;32m    253\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(unique_dates) \u001b[38;5;241m<\u001b[39m \u001b[38;5;28mlen\u001b[39m(arg):\n\u001b[0;32m--> 254\u001b[0m     cache_dates \u001b[38;5;241m=\u001b[39m \u001b[43mconvert_listlike\u001b[49m\u001b[43m(\u001b[49m\u001b[43munique_dates\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mformat\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m    255\u001b[0m     \u001b[38;5;66;03m# GH#45319\u001b[39;00m\n\u001b[1;32m    256\u001b[0m     \u001b[38;5;28;01mtry\u001b[39;00m:\n",
-      "File \u001b[0;32m/opt/mamba/lib/python3.10/site-packages/pandas/core/tools/datetimes.py:490\u001b[0m, in \u001b[0;36m_convert_listlike_datetimes\u001b[0;34m(arg, format, name, utc, unit, errors, dayfirst, yearfirst, exact)\u001b[0m\n\u001b[1;32m    487\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mformat\u001b[39m \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mformat\u001b[39m \u001b[38;5;241m!=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmixed\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[1;32m    488\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m _array_strptime_with_fallback(arg, name, utc, \u001b[38;5;28mformat\u001b[39m, exact, errors)\n\u001b[0;32m--> 490\u001b[0m result, tz_parsed \u001b[38;5;241m=\u001b[39m \u001b[43mobjects_to_datetime64ns\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    491\u001b[0m \u001b[43m    \u001b[49m\u001b[43marg\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    492\u001b[0m \u001b[43m    \u001b[49m\u001b[43mdayfirst\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdayfirst\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    493\u001b[0m \u001b[43m    \u001b[49m\u001b[43myearfirst\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43myearfirst\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    494\u001b[0m \u001b[43m    \u001b[49m\u001b[43mutc\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mutc\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    495\u001b[0m \u001b[43m    \u001b[49m\u001b[43merrors\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43merrors\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    496\u001b[0m \u001b[43m    \u001b[49m\u001b[43mallow_object\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m    497\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    499\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m tz_parsed \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m    500\u001b[0m     \u001b[38;5;66;03m# We can take a shortcut since the datetime64 numpy array\u001b[39;00m\n\u001b[1;32m    501\u001b[0m     \u001b[38;5;66;03m# is in UTC\u001b[39;00m\n\u001b[1;32m    502\u001b[0m     dta \u001b[38;5;241m=\u001b[39m DatetimeArray(result, dtype\u001b[38;5;241m=\u001b[39mtz_to_dtype(tz_parsed))\n",
-      "File \u001b[0;32m/opt/mamba/lib/python3.10/site-packages/pandas/core/arrays/datetimes.py:2346\u001b[0m, in \u001b[0;36mobjects_to_datetime64ns\u001b[0;34m(data, dayfirst, yearfirst, utc, errors, allow_object)\u001b[0m\n\u001b[1;32m   2343\u001b[0m \u001b[38;5;66;03m# if str-dtype, convert\u001b[39;00m\n\u001b[1;32m   2344\u001b[0m data \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39marray(data, copy\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m, dtype\u001b[38;5;241m=\u001b[39mnp\u001b[38;5;241m.\u001b[39mobject_)\n\u001b[0;32m-> 2346\u001b[0m result, tz_parsed \u001b[38;5;241m=\u001b[39m \u001b[43mtslib\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43marray_to_datetime\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m   2347\u001b[0m \u001b[43m    \u001b[49m\u001b[43mdata\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   2348\u001b[0m \u001b[43m    \u001b[49m\u001b[43merrors\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43merrors\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   2349\u001b[0m \u001b[43m    \u001b[49m\u001b[43mutc\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mutc\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   2350\u001b[0m \u001b[43m    \u001b[49m\u001b[43mdayfirst\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdayfirst\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   2351\u001b[0m \u001b[43m    \u001b[49m\u001b[43myearfirst\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43myearfirst\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   2352\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   2354\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m tz_parsed \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m   2355\u001b[0m     \u001b[38;5;66;03m# We can take a shortcut since the datetime64 numpy array\u001b[39;00m\n\u001b[1;32m   2356\u001b[0m     \u001b[38;5;66;03m#  is in UTC\u001b[39;00m\n\u001b[1;32m   2357\u001b[0m     \u001b[38;5;66;03m# Return i8 values to denote unix timestamps\u001b[39;00m\n\u001b[1;32m   2358\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m result\u001b[38;5;241m.\u001b[39mview(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mi8\u001b[39m\u001b[38;5;124m\"\u001b[39m), tz_parsed\n",
-      "File \u001b[0;32mtslib.pyx:403\u001b[0m, in \u001b[0;36mpandas._libs.tslib.array_to_datetime\u001b[0;34m()\u001b[0m\n",
-      "File \u001b[0;32mtslib.pyx:552\u001b[0m, in \u001b[0;36mpandas._libs.tslib.array_to_datetime\u001b[0;34m()\u001b[0m\n",
-      "File \u001b[0;32mtslib.pyx:480\u001b[0m, in \u001b[0;36mpandas._libs.tslib.array_to_datetime\u001b[0;34m()\u001b[0m\n",
-      "File \u001b[0;32mconversion.pyx:716\u001b[0m, in \u001b[0;36mpandas._libs.tslibs.conversion.convert_timezone\u001b[0;34m()\u001b[0m\n",
-      "\u001b[0;31mValueError\u001b[0m: Tz-aware datetime.datetime cannot be converted to datetime64 unless utc=True, at position 18"
-     ]
-    }
-   ],
-   "source": [
-    "# autre methode\n",
-    "\n",
-    "df1_campaigns_full[\"sent_at\"] = pd.to_datetime(df1_campaigns_full[\"sent_at\"] , utc=False).astype('datetime64[ns]')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 334,
-   "id": "92bbdf80-e34b-4146-864a-b0dd4e04c5e9",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "                    sent_at\n",
-      "0 2022-01-01 10:34:56+00:00\n",
-      "1 2022-02-01 13:45:30+00:00\n",
-      "2 2022-03-01 16:30:00+00:00\n"
-     ]
-    }
-   ],
-   "source": [
-    "import pandas as pd\n",
-    "\n",
-    "# Exemple de DataFrame avec une colonne 'sent_at' contenant des dates en format string\n",
-    "df1_campaigns_full = pd.DataFrame({\n",
-    "    'sent_at': ['2022-01-01 12:34:56+02:00', '2022-02-01 15:45:30+02:00', '2022-03-01 18:30:00+02:00']\n",
-    "})\n",
-    "\n",
-    "# Convertir la colonne 'sent_at' en datetime en conservant l'information sur le fuseau horaire (datetime64[ns])\n",
-    "df1_campaigns_full['sent_at'] = pd.to_datetime(df1_campaigns_full['sent_at'], utc=True)\n",
-    "\n",
-    "# Afficher le DataFrame résultant\n",
-    "print(df1_campaigns_full)\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 324,
-   "id": "a8ad41ed-433c-4f7e-9f67-888dcb54d24e",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "campaign_id\n",
-      "1         2021-03-24 00:00:00+01:00\n",
-      "2         2021-03-14 00:00:00+01:00\n",
-      "3         2021-03-15 00:00:00+01:00\n",
-      "4         2021-03-21 00:00:00+01:00\n",
-      "5         2021-03-10 00:00:00+01:00\n",
-      "                     ...           \n",
-      "1321501   2023-11-06 13:30:12+01:00\n",
-      "1321503   2023-11-07 17:31:16+01:00\n",
-      "1321505   2023-11-08 11:15:52+01:00\n",
-      "1321506   2023-11-08 19:00:25+01:00\n",
-      "1321507   2023-11-08 19:00:37+01:00\n",
-      "Name: campaign_sent_at, Length: 949, dtype: datetime64[ns, tzoffset(None, 3600)]\n"
-     ]
-    },
-    {
-     "ename": "TypeError",
-     "evalue": "'bool' object is not callable",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
-      "Cell \u001b[0;32mIn[324], line 4\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;66;03m# comparison \u001b[39;00m\n\u001b[1;32m      3\u001b[0m \u001b[38;5;28mprint\u001b[39m(df1_campaigns_full\u001b[38;5;241m.\u001b[39mgroupby(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcampaign_id\u001b[39m\u001b[38;5;124m\"\u001b[39m)[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcampaign_sent_at\u001b[39m\u001b[38;5;124m\"\u001b[39m]\u001b[38;5;241m.\u001b[39mfirst()) \u001b[38;5;66;03m# envoi des campagnes\u001b[39;00m\n\u001b[0;32m----> 4\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[43mdf1_campaigns_full\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgroupby\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mcampaign_id\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43msent_at\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdropna\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241m.\u001b[39mmin())\n",
-      "\u001b[0;31mTypeError\u001b[0m: 'bool' object is not callable"
-     ]
-    }
-   ],
-   "source": [
-    "# comparison \n",
-    "\n",
-    "print(df1_campaigns_full.groupby(\"campaign_id\")[\"campaign_sent_at\"].first()) # envoi des campagnes\n",
-    "print(df1_campaigns_full.groupby(\"campaign_id\")[\"sent_at\"].dropna().min())"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 325,
-   "id": "1771adeb-bbc9-40ef-afb6-49a6b3ff2e79",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "id                           0\n",
-       "campaign_id                  0\n",
-       "customer_id                  0\n",
-       "opened_at              5019527\n",
-       "sent_at                2741358\n",
-       "delivered_at           2807002\n",
-       "created_at             1547090\n",
-       "updated_at              766803\n",
-       "campaign_name                0\n",
-       "campaign_service_id          0\n",
-       "campaign_created_at    2216183\n",
-       "campaign_updated_at    2561268\n",
-       "campaign_sent_at       3504140\n",
-       "campaign_identifier          0\n",
-       "dtype: int64"
-      ]
-     },
-     "execution_count": 325,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df1_campaigns_full.isna().sum()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 326,
-   "id": "1a5a1d98-a076-4988-aaf3-e753c117e518",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "id                0\n",
-       "name              0\n",
-       "service_id        0\n",
-       "created_at        0\n",
-       "updated_at        0\n",
-       "process_id      957\n",
-       "report_url      957\n",
-       "category          2\n",
-       "to_be_synced      0\n",
-       "identifier        0\n",
-       "sent_at           3\n",
-       "dtype: int64"
-      ]
-     },
-     "execution_count": 326,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df1_campaigns.isna().sum()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 320,
-   "id": "749df9f0-8a18-49f0-a820-05cc674a5fce",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "2020-06-02 10:24:08+02:00\n",
-      "2020-06-02 10:24:08+02:00\n"
-     ]
-    }
-   ],
-   "source": [
-    "# df1_campaigns_full[\"sent_at\"] = \n",
-    "print(pd.to_datetime(df1_campaigns_full[\"sent_at\"], errors='coerce').min())\n",
-    "print(df1_campaigns_full[\"sent_at\"].dropna().min())"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 313,
-   "id": "f46000b8-4b7b-4121-b0af-8e8a388ce33c",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "6214808"
-      ]
-     },
-     "execution_count": 313,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df1_campaigns_full[\"sent_at\"].apply(lambda x : isinstance(x, datetime)).sum()\n",
-    "# df1_campaigns_full[\"sent_at\"].tail(30)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 314,
-   "id": "0ae4aeca-6edc-44e8-bc72-74f19b62a8f3",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "6214808"
-      ]
-     },
-     "execution_count": 314,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df1_campaigns_full.shape[0]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 340,
-   "id": "4ef4d3d5-5f0a-4798-86d1-1b56641fcce4",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "id                      int64\n",
-       "campaign_id             int64\n",
-       "customer_id             int64\n",
-       "opened_at              object\n",
-       "sent_at                object\n",
-       "delivered_at           object\n",
-       "created_at             object\n",
-       "updated_at             object\n",
-       "campaign_name          object\n",
-       "campaign_service_id     int64\n",
-       "campaign_created_at    object\n",
-       "campaign_updated_at    object\n",
-       "campaign_sent_at       object\n",
-       "campaign_identifier    object\n",
-       "dtype: object"
-      ]
-     },
-     "execution_count": 340,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df1_campaigns_full.dtypes"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 341,
-   "id": "8de270ac-c205-4686-8d53-6cd52d8239d0",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
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-       "        text-align: right;\n",
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-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>id</th>\n",
-       "      <th>campaign_id</th>\n",
-       "      <th>customer_id</th>\n",
-       "      <th>opened_at</th>\n",
-       "      <th>sent_at</th>\n",
-       "      <th>delivered_at</th>\n",
-       "      <th>created_at</th>\n",
-       "      <th>updated_at</th>\n",
-       "      <th>campaign_name</th>\n",
-       "      <th>campaign_service_id</th>\n",
-       "      <th>campaign_created_at</th>\n",
-       "      <th>campaign_updated_at</th>\n",
-       "      <th>campaign_sent_at</th>\n",
-       "      <th>campaign_identifier</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>19793</td>\n",
-       "      <td>58</td>\n",
-       "      <td>112597</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>2021-03-28 18:01:09+02:00</td>\n",
-       "      <td>2021-03-28 18:24:18+02:00</td>\n",
-       "      <td>2021-03-28 18:34:20.616136+02:00</td>\n",
-       "      <td>2022-04-15 22:52:04.397693+02:00</td>\n",
-       "      <td>Le Mucem chez vous, gardons le lien #22</td>\n",
-       "      <td>404</td>\n",
-       "      <td>2021-03-28 18:01:45.448313+02:00</td>\n",
-       "      <td>2021-09-24 11:56:07.723413+02:00</td>\n",
-       "      <td>2021-03-28 00:00:00+01:00</td>\n",
-       "      <td>4f4adcbf8c6f66dcfc8a3282ac2bf10a</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>14211</td>\n",
-       "      <td>58</td>\n",
-       "      <td>113666</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>2021-03-28 18:01:09+02:00</td>\n",
-       "      <td>2021-03-28 18:21:02+02:00</td>\n",
-       "      <td>2021-03-28 18:21:04.297213+02:00</td>\n",
-       "      <td>2022-04-15 22:52:04.397693+02:00</td>\n",
-       "      <td>Le Mucem chez vous, gardons le lien #22</td>\n",
-       "      <td>404</td>\n",
-       "      <td>2021-03-28 18:01:45.448313+02:00</td>\n",
-       "      <td>2021-09-24 11:56:07.723413+02:00</td>\n",
-       "      <td>2021-03-28 00:00:00+01:00</td>\n",
-       "      <td>4f4adcbf8c6f66dcfc8a3282ac2bf10a</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>13150</td>\n",
-       "      <td>58</td>\n",
-       "      <td>280561</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>2021-03-28 18:00:59+02:00</td>\n",
-       "      <td>2021-03-28 18:08:45+02:00</td>\n",
-       "      <td>2021-03-28 18:18:49.991042+02:00</td>\n",
-       "      <td>2022-04-15 22:52:04.397693+02:00</td>\n",
-       "      <td>Le Mucem chez vous, gardons le lien #22</td>\n",
-       "      <td>404</td>\n",
-       "      <td>2021-03-28 18:01:45.448313+02:00</td>\n",
-       "      <td>2021-09-24 11:56:07.723413+02:00</td>\n",
-       "      <td>2021-03-28 00:00:00+01:00</td>\n",
-       "      <td>4f4adcbf8c6f66dcfc8a3282ac2bf10a</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>7073</td>\n",
-       "      <td>58</td>\n",
-       "      <td>101007</td>\n",
-       "      <td>2021-03-28 20:11:06+02:00</td>\n",
-       "      <td>2021-03-28 18:00:59+02:00</td>\n",
-       "      <td>2021-03-28 18:09:47+02:00</td>\n",
-       "      <td>2021-03-28 18:09:50.915354+02:00</td>\n",
-       "      <td>2022-04-15 22:52:04.397693+02:00</td>\n",
-       "      <td>Le Mucem chez vous, gardons le lien #22</td>\n",
-       "      <td>404</td>\n",
-       "      <td>2021-03-28 18:01:45.448313+02:00</td>\n",
-       "      <td>2021-09-24 11:56:07.723413+02:00</td>\n",
-       "      <td>2021-03-28 00:00:00+01:00</td>\n",
-       "      <td>4f4adcbf8c6f66dcfc8a3282ac2bf10a</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>5175</td>\n",
-       "      <td>58</td>\n",
-       "      <td>103972</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>2021-03-28 18:01:06+02:00</td>\n",
-       "      <td>2021-03-28 18:05:03+02:00</td>\n",
-       "      <td>2021-03-28 18:05:08.507398+02:00</td>\n",
-       "      <td>2022-04-15 22:52:04.397693+02:00</td>\n",
-       "      <td>Le Mucem chez vous, gardons le lien #22</td>\n",
-       "      <td>404</td>\n",
-       "      <td>2021-03-28 18:01:45.448313+02:00</td>\n",
-       "      <td>2021-09-24 11:56:07.723413+02:00</td>\n",
-       "      <td>2021-03-28 00:00:00+01:00</td>\n",
-       "      <td>4f4adcbf8c6f66dcfc8a3282ac2bf10a</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "      id  campaign_id  customer_id                  opened_at  \\\n",
-       "0  19793           58       112597                        NaN   \n",
-       "1  14211           58       113666                        NaN   \n",
-       "2  13150           58       280561                        NaN   \n",
-       "3   7073           58       101007  2021-03-28 20:11:06+02:00   \n",
-       "4   5175           58       103972                        NaN   \n",
-       "\n",
-       "                     sent_at               delivered_at  \\\n",
-       "0  2021-03-28 18:01:09+02:00  2021-03-28 18:24:18+02:00   \n",
-       "1  2021-03-28 18:01:09+02:00  2021-03-28 18:21:02+02:00   \n",
-       "2  2021-03-28 18:00:59+02:00  2021-03-28 18:08:45+02:00   \n",
-       "3  2021-03-28 18:00:59+02:00  2021-03-28 18:09:47+02:00   \n",
-       "4  2021-03-28 18:01:06+02:00  2021-03-28 18:05:03+02:00   \n",
-       "\n",
-       "                         created_at                        updated_at  \\\n",
-       "0  2021-03-28 18:34:20.616136+02:00  2022-04-15 22:52:04.397693+02:00   \n",
-       "1  2021-03-28 18:21:04.297213+02:00  2022-04-15 22:52:04.397693+02:00   \n",
-       "2  2021-03-28 18:18:49.991042+02:00  2022-04-15 22:52:04.397693+02:00   \n",
-       "3  2021-03-28 18:09:50.915354+02:00  2022-04-15 22:52:04.397693+02:00   \n",
-       "4  2021-03-28 18:05:08.507398+02:00  2022-04-15 22:52:04.397693+02:00   \n",
-       "\n",
-       "                             campaign_name  campaign_service_id  \\\n",
-       "0  Le Mucem chez vous, gardons le lien #22                  404   \n",
-       "1  Le Mucem chez vous, gardons le lien #22                  404   \n",
-       "2  Le Mucem chez vous, gardons le lien #22                  404   \n",
-       "3  Le Mucem chez vous, gardons le lien #22                  404   \n",
-       "4  Le Mucem chez vous, gardons le lien #22                  404   \n",
-       "\n",
-       "                campaign_created_at               campaign_updated_at  \\\n",
-       "0  2021-03-28 18:01:45.448313+02:00  2021-09-24 11:56:07.723413+02:00   \n",
-       "1  2021-03-28 18:01:45.448313+02:00  2021-09-24 11:56:07.723413+02:00   \n",
-       "2  2021-03-28 18:01:45.448313+02:00  2021-09-24 11:56:07.723413+02:00   \n",
-       "3  2021-03-28 18:01:45.448313+02:00  2021-09-24 11:56:07.723413+02:00   \n",
-       "4  2021-03-28 18:01:45.448313+02:00  2021-09-24 11:56:07.723413+02:00   \n",
-       "\n",
-       "            campaign_sent_at               campaign_identifier  \n",
-       "0  2021-03-28 00:00:00+01:00  4f4adcbf8c6f66dcfc8a3282ac2bf10a  \n",
-       "1  2021-03-28 00:00:00+01:00  4f4adcbf8c6f66dcfc8a3282ac2bf10a  \n",
-       "2  2021-03-28 00:00:00+01:00  4f4adcbf8c6f66dcfc8a3282ac2bf10a  \n",
-       "3  2021-03-28 00:00:00+01:00  4f4adcbf8c6f66dcfc8a3282ac2bf10a  \n",
-       "4  2021-03-28 00:00:00+01:00  4f4adcbf8c6f66dcfc8a3282ac2bf10a  "
-      ]
-     },
-     "execution_count": 341,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df1_campaigns_full.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 342,
-   "id": "e2d81bd1-9fd6-40c7-96f9-998771a4fd77",
-   "metadata": {},
-   "outputs": [
-    {
-     "ename": "ValueError",
-     "evalue": "time data '2022-05-06 12:00:23+02:00' does not match format '%Y-%m-%d %H:%M:%S.%f%z'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
-      "Cell \u001b[0;32mIn[342], line 4\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;66;03m# conversion colonne par colonne\u001b[39;00m\n\u001b[1;32m      2\u001b[0m \n\u001b[1;32m      3\u001b[0m \u001b[38;5;66;03m# precision a la Ns\u001b[39;00m\n\u001b[0;32m----> 4\u001b[0m df1_campaigns_full[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcreated_at\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[43mdf1_campaigns_full\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mcreated_at\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mapply\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43;01mlambda\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mx\u001b[49m\u001b[43m \u001b[49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mdatetime\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mstrptime\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mstr\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mx\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43m%\u001b[39;49m\u001b[38;5;124;43mY-\u001b[39;49m\u001b[38;5;124;43m%\u001b[39;49m\u001b[38;5;124;43mm-\u001b[39;49m\u001b[38;5;132;43;01m%d\u001b[39;49;00m\u001b[38;5;124;43m \u001b[39;49m\u001b[38;5;124;43m%\u001b[39;49m\u001b[38;5;124;43mH:\u001b[39;49m\u001b[38;5;124;43m%\u001b[39;49m\u001b[38;5;124;43mM:\u001b[39;49m\u001b[38;5;124;43m%\u001b[39;49m\u001b[38;5;124;43mS.\u001b[39;49m\u001b[38;5;132;43;01m%f\u001b[39;49;00m\u001b[38;5;124;43m%\u001b[39;49m\u001b[38;5;124;43mz\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mif\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mpd\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mnotna\u001b[49m\u001b[43m(\u001b[49m\u001b[43mx\u001b[49m\u001b[43m)\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01melse\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mpd\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mNaT\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m      5\u001b[0m \u001b[38;5;66;03m# df1_campaigns_full[\"updated_at\"] = df1_campaigns_full[\"updated_at\"].apply(lambda x : datetime.strptime(str(x), \"%Y-%m-%d %H:%M:%S.%f%z\") if pd.notna(x) else pd.NaT)\u001b[39;00m\n\u001b[1;32m      6\u001b[0m \u001b[38;5;66;03m# df1_campaigns_full[\"campaign_created_at\"] = df1_campaigns_full[\"campaign_created_at\"].apply(lambda x : datetime.strptime(str(x), \"%Y-%m-%d %H:%M:%S.%f%z\") if pd.notna(x) else pd.NaT)\u001b[39;00m\n\u001b[1;32m      7\u001b[0m \u001b[38;5;66;03m# df1_campaigns_full[\"campaign_updated_at\"] = df1_campaigns_full[\"campaign_updated_at\"].apply(lambda x : datetime.strptime(str(x), \"%Y-%m-%d %H:%M:%S.%f%z\") if pd.notna(x) else pd.NaT)\u001b[39;00m\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m     12\u001b[0m \u001b[38;5;66;03m# df1_campaigns_full[\"delivered_at\"] = df1_campaigns_full[\"delivered_at\"].apply(lambda x : datetime.strptime(str(x), \"%Y-%m-%d %H:%M:%S%z\") if pd.notna(x) else pd.NaT)\u001b[39;00m\n\u001b[1;32m     13\u001b[0m \u001b[38;5;66;03m# df1_campaigns_full[\"campaign_sent_at\"] = df1_campaigns_full[\"campaign_sent_at\"].apply(lambda x : datetime.strptime(str(x), \"%Y-%m-%d %H:%M:%S.%f%z\") if pd.notna(x) else pd.NaT)\u001b[39;00m\n",
-      "File \u001b[0;32m/opt/mamba/lib/python3.10/site-packages/pandas/core/series.py:4764\u001b[0m, in \u001b[0;36mSeries.apply\u001b[0;34m(self, func, convert_dtype, args, by_row, **kwargs)\u001b[0m\n\u001b[1;32m   4629\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mapply\u001b[39m(\n\u001b[1;32m   4630\u001b[0m     \u001b[38;5;28mself\u001b[39m,\n\u001b[1;32m   4631\u001b[0m     func: AggFuncType,\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m   4636\u001b[0m     \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs,\n\u001b[1;32m   4637\u001b[0m ) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m DataFrame \u001b[38;5;241m|\u001b[39m Series:\n\u001b[1;32m   4638\u001b[0m \u001b[38;5;250m    \u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m   4639\u001b[0m \u001b[38;5;124;03m    Invoke function on values of Series.\u001b[39;00m\n\u001b[1;32m   4640\u001b[0m \n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m   4755\u001b[0m \u001b[38;5;124;03m    dtype: float64\u001b[39;00m\n\u001b[1;32m   4756\u001b[0m \u001b[38;5;124;03m    \"\"\"\u001b[39;00m\n\u001b[1;32m   4757\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mSeriesApply\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m   4758\u001b[0m \u001b[43m        \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m   4759\u001b[0m \u001b[43m        \u001b[49m\u001b[43mfunc\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   4760\u001b[0m \u001b[43m        \u001b[49m\u001b[43mconvert_dtype\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mconvert_dtype\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   4761\u001b[0m \u001b[43m        \u001b[49m\u001b[43mby_row\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mby_row\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   4762\u001b[0m \u001b[43m        \u001b[49m\u001b[43margs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   4763\u001b[0m \u001b[43m        \u001b[49m\u001b[43mkwargs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m-> 4764\u001b[0m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mapply\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n",
-      "File \u001b[0;32m/opt/mamba/lib/python3.10/site-packages/pandas/core/apply.py:1209\u001b[0m, in \u001b[0;36mSeriesApply.apply\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m   1206\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mapply_compat()\n\u001b[1;32m   1208\u001b[0m \u001b[38;5;66;03m# self.func is Callable\u001b[39;00m\n\u001b[0;32m-> 1209\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mapply_standard\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n",
-      "File \u001b[0;32m/opt/mamba/lib/python3.10/site-packages/pandas/core/apply.py:1289\u001b[0m, in \u001b[0;36mSeriesApply.apply_standard\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m   1283\u001b[0m \u001b[38;5;66;03m# row-wise access\u001b[39;00m\n\u001b[1;32m   1284\u001b[0m \u001b[38;5;66;03m# apply doesn't have a `na_action` keyword and for backward compat reasons\u001b[39;00m\n\u001b[1;32m   1285\u001b[0m \u001b[38;5;66;03m# we need to give `na_action=\"ignore\"` for categorical data.\u001b[39;00m\n\u001b[1;32m   1286\u001b[0m \u001b[38;5;66;03m# TODO: remove the `na_action=\"ignore\"` when that default has been changed in\u001b[39;00m\n\u001b[1;32m   1287\u001b[0m \u001b[38;5;66;03m#  Categorical (GH51645).\u001b[39;00m\n\u001b[1;32m   1288\u001b[0m action \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mignore\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(obj\u001b[38;5;241m.\u001b[39mdtype, CategoricalDtype) \u001b[38;5;28;01melse\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[0;32m-> 1289\u001b[0m mapped \u001b[38;5;241m=\u001b[39m \u001b[43mobj\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_map_values\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m   1290\u001b[0m \u001b[43m    \u001b[49m\u001b[43mmapper\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcurried\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mna_action\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43maction\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mconvert\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mconvert_dtype\u001b[49m\n\u001b[1;32m   1291\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1293\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(mapped) \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(mapped[\u001b[38;5;241m0\u001b[39m], ABCSeries):\n\u001b[1;32m   1294\u001b[0m     \u001b[38;5;66;03m# GH#43986 Need to do list(mapped) in order to get treated as nested\u001b[39;00m\n\u001b[1;32m   1295\u001b[0m     \u001b[38;5;66;03m#  See also GH#25959 regarding EA support\u001b[39;00m\n\u001b[1;32m   1296\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m obj\u001b[38;5;241m.\u001b[39m_constructor_expanddim(\u001b[38;5;28mlist\u001b[39m(mapped), index\u001b[38;5;241m=\u001b[39mobj\u001b[38;5;241m.\u001b[39mindex)\n",
-      "File \u001b[0;32m/opt/mamba/lib/python3.10/site-packages/pandas/core/base.py:921\u001b[0m, in \u001b[0;36mIndexOpsMixin._map_values\u001b[0;34m(self, mapper, na_action, convert)\u001b[0m\n\u001b[1;32m    918\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(arr, ExtensionArray):\n\u001b[1;32m    919\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m arr\u001b[38;5;241m.\u001b[39mmap(mapper, na_action\u001b[38;5;241m=\u001b[39mna_action)\n\u001b[0;32m--> 921\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43malgorithms\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmap_array\u001b[49m\u001b[43m(\u001b[49m\u001b[43marr\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmapper\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mna_action\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mna_action\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mconvert\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mconvert\u001b[49m\u001b[43m)\u001b[49m\n",
-      "File \u001b[0;32m/opt/mamba/lib/python3.10/site-packages/pandas/core/algorithms.py:1814\u001b[0m, in \u001b[0;36mmap_array\u001b[0;34m(arr, mapper, na_action, convert)\u001b[0m\n\u001b[1;32m   1812\u001b[0m values \u001b[38;5;241m=\u001b[39m arr\u001b[38;5;241m.\u001b[39mastype(\u001b[38;5;28mobject\u001b[39m, copy\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m)\n\u001b[1;32m   1813\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m na_action \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m-> 1814\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mlib\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmap_infer\u001b[49m\u001b[43m(\u001b[49m\u001b[43mvalues\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmapper\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mconvert\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mconvert\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1815\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m   1816\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m lib\u001b[38;5;241m.\u001b[39mmap_infer_mask(\n\u001b[1;32m   1817\u001b[0m         values, mapper, mask\u001b[38;5;241m=\u001b[39misna(values)\u001b[38;5;241m.\u001b[39mview(np\u001b[38;5;241m.\u001b[39muint8), convert\u001b[38;5;241m=\u001b[39mconvert\n\u001b[1;32m   1818\u001b[0m     )\n",
-      "File \u001b[0;32mlib.pyx:2926\u001b[0m, in \u001b[0;36mpandas._libs.lib.map_infer\u001b[0;34m()\u001b[0m\n",
-      "Cell \u001b[0;32mIn[342], line 4\u001b[0m, in \u001b[0;36m<lambda>\u001b[0;34m(x)\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;66;03m# conversion colonne par colonne\u001b[39;00m\n\u001b[1;32m      2\u001b[0m \n\u001b[1;32m      3\u001b[0m \u001b[38;5;66;03m# precision a la Ns\u001b[39;00m\n\u001b[0;32m----> 4\u001b[0m df1_campaigns_full[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcreated_at\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m df1_campaigns_full[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcreated_at\u001b[39m\u001b[38;5;124m\"\u001b[39m]\u001b[38;5;241m.\u001b[39mapply(\u001b[38;5;28;01mlambda\u001b[39;00m x : \u001b[43mdatetime\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mstrptime\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mstr\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mx\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43m%\u001b[39;49m\u001b[38;5;124;43mY-\u001b[39;49m\u001b[38;5;124;43m%\u001b[39;49m\u001b[38;5;124;43mm-\u001b[39;49m\u001b[38;5;132;43;01m%d\u001b[39;49;00m\u001b[38;5;124;43m \u001b[39;49m\u001b[38;5;124;43m%\u001b[39;49m\u001b[38;5;124;43mH:\u001b[39;49m\u001b[38;5;124;43m%\u001b[39;49m\u001b[38;5;124;43mM:\u001b[39;49m\u001b[38;5;124;43m%\u001b[39;49m\u001b[38;5;124;43mS.\u001b[39;49m\u001b[38;5;132;43;01m%f\u001b[39;49;00m\u001b[38;5;124;43m%\u001b[39;49m\u001b[38;5;124;43mz\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mif\u001b[39;00m pd\u001b[38;5;241m.\u001b[39mnotna(x) \u001b[38;5;28;01melse\u001b[39;00m pd\u001b[38;5;241m.\u001b[39mNaT)\n\u001b[1;32m      5\u001b[0m \u001b[38;5;66;03m# df1_campaigns_full[\"updated_at\"] = df1_campaigns_full[\"updated_at\"].apply(lambda x : datetime.strptime(str(x), \"%Y-%m-%d %H:%M:%S.%f%z\") if pd.notna(x) else pd.NaT)\u001b[39;00m\n\u001b[1;32m      6\u001b[0m \u001b[38;5;66;03m# df1_campaigns_full[\"campaign_created_at\"] = df1_campaigns_full[\"campaign_created_at\"].apply(lambda x : datetime.strptime(str(x), \"%Y-%m-%d %H:%M:%S.%f%z\") if pd.notna(x) else pd.NaT)\u001b[39;00m\n\u001b[1;32m      7\u001b[0m \u001b[38;5;66;03m# df1_campaigns_full[\"campaign_updated_at\"] = df1_campaigns_full[\"campaign_updated_at\"].apply(lambda x : datetime.strptime(str(x), \"%Y-%m-%d %H:%M:%S.%f%z\") if pd.notna(x) else pd.NaT)\u001b[39;00m\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m     12\u001b[0m \u001b[38;5;66;03m# df1_campaigns_full[\"delivered_at\"] = df1_campaigns_full[\"delivered_at\"].apply(lambda x : datetime.strptime(str(x), \"%Y-%m-%d %H:%M:%S%z\") if pd.notna(x) else pd.NaT)\u001b[39;00m\n\u001b[1;32m     13\u001b[0m \u001b[38;5;66;03m# df1_campaigns_full[\"campaign_sent_at\"] = df1_campaigns_full[\"campaign_sent_at\"].apply(lambda x : datetime.strptime(str(x), \"%Y-%m-%d %H:%M:%S.%f%z\") if pd.notna(x) else pd.NaT)\u001b[39;00m\n",
-      "File \u001b[0;32m/opt/mamba/lib/python3.10/_strptime.py:568\u001b[0m, in \u001b[0;36m_strptime_datetime\u001b[0;34m(cls, data_string, format)\u001b[0m\n\u001b[1;32m    565\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_strptime_datetime\u001b[39m(\u001b[38;5;28mcls\u001b[39m, data_string, \u001b[38;5;28mformat\u001b[39m\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m%a\u001b[39;00m\u001b[38;5;124m \u001b[39m\u001b[38;5;124m%\u001b[39m\u001b[38;5;124mb \u001b[39m\u001b[38;5;132;01m%d\u001b[39;00m\u001b[38;5;124m \u001b[39m\u001b[38;5;124m%\u001b[39m\u001b[38;5;124mH:\u001b[39m\u001b[38;5;124m%\u001b[39m\u001b[38;5;124mM:\u001b[39m\u001b[38;5;124m%\u001b[39m\u001b[38;5;124mS \u001b[39m\u001b[38;5;124m%\u001b[39m\u001b[38;5;124mY\u001b[39m\u001b[38;5;124m\"\u001b[39m):\n\u001b[1;32m    566\u001b[0m \u001b[38;5;250m    \u001b[39m\u001b[38;5;124;03m\"\"\"Return a class cls instance based on the input string and the\u001b[39;00m\n\u001b[1;32m    567\u001b[0m \u001b[38;5;124;03m    format string.\"\"\"\u001b[39;00m\n\u001b[0;32m--> 568\u001b[0m     tt, fraction, gmtoff_fraction \u001b[38;5;241m=\u001b[39m \u001b[43m_strptime\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdata_string\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mformat\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m    569\u001b[0m     tzname, gmtoff \u001b[38;5;241m=\u001b[39m tt[\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m2\u001b[39m:]\n\u001b[1;32m    570\u001b[0m     args \u001b[38;5;241m=\u001b[39m tt[:\u001b[38;5;241m6\u001b[39m] \u001b[38;5;241m+\u001b[39m (fraction,)\n",
-      "File \u001b[0;32m/opt/mamba/lib/python3.10/_strptime.py:349\u001b[0m, in \u001b[0;36m_strptime\u001b[0;34m(data_string, format)\u001b[0m\n\u001b[1;32m    347\u001b[0m found \u001b[38;5;241m=\u001b[39m format_regex\u001b[38;5;241m.\u001b[39mmatch(data_string)\n\u001b[1;32m    348\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m found:\n\u001b[0;32m--> 349\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtime data \u001b[39m\u001b[38;5;132;01m%r\u001b[39;00m\u001b[38;5;124m does not match format \u001b[39m\u001b[38;5;132;01m%r\u001b[39;00m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;241m%\u001b[39m\n\u001b[1;32m    350\u001b[0m                      (data_string, \u001b[38;5;28mformat\u001b[39m))\n\u001b[1;32m    351\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(data_string) \u001b[38;5;241m!=\u001b[39m found\u001b[38;5;241m.\u001b[39mend():\n\u001b[1;32m    352\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124munconverted data remains: \u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;241m%\u001b[39m\n\u001b[1;32m    353\u001b[0m                       data_string[found\u001b[38;5;241m.\u001b[39mend():])\n",
-      "\u001b[0;31mValueError\u001b[0m: time data '2022-05-06 12:00:23+02:00' does not match format '%Y-%m-%d %H:%M:%S.%f%z'"
-     ]
-    }
-   ],
-   "source": [
-    "# conversion colonne par colonne\n",
-    "\n",
-    "# precision a la Ns\n",
-    "df1_campaigns_full[\"created_at\"] = df1_campaigns_full[\"created_at\"].apply(lambda x : datetime.strptime(str(x), \"%Y-%m-%d %H:%M:%S.%f%z\") if pd.notna(x) else pd.NaT)\n",
-    "# df1_campaigns_full[\"updated_at\"] = df1_campaigns_full[\"updated_at\"].apply(lambda x : datetime.strptime(str(x), \"%Y-%m-%d %H:%M:%S.%f%z\") if pd.notna(x) else pd.NaT)\n",
-    "# df1_campaigns_full[\"campaign_created_at\"] = df1_campaigns_full[\"campaign_created_at\"].apply(lambda x : datetime.strptime(str(x), \"%Y-%m-%d %H:%M:%S.%f%z\") if pd.notna(x) else pd.NaT)\n",
-    "# df1_campaigns_full[\"campaign_updated_at\"] = df1_campaigns_full[\"campaign_updated_at\"].apply(lambda x : datetime.strptime(str(x), \"%Y-%m-%d %H:%M:%S.%f%z\") if pd.notna(x) else pd.NaT)\n",
-    "\n",
-    "# precision a la sec\n",
-    "# df1_campaigns_full[\"opened_at\"] = df1_campaigns_full[\"opened_at\"].apply(lambda x : datetime.strptime(str(x), \"%Y-%m-%d %H:%M:%S%z\") if pd.notna(x) else pd.NaT)\n",
-    "# df1_campaigns_full[\"sent_at\"] = df1_campaigns_full[\"sent_at\"].apply(lambda x : datetime.strptime(str(x), \"%Y-%m-%d %H:%M:%S%z\") if pd.notna(x) else pd.NaT)\n",
-    "# df1_campaigns_full[\"delivered_at\"] = df1_campaigns_full[\"delivered_at\"].apply(lambda x : datetime.strptime(str(x), \"%Y-%m-%d %H:%M:%S%z\") if pd.notna(x) else pd.NaT)\n",
-    "# df1_campaigns_full[\"campaign_sent_at\"] = df1_campaigns_full[\"campaign_sent_at\"].apply(lambda x : datetime.strptime(str(x), \"%Y-%m-%d %H:%M:%S.%f%z\") if pd.notna(x) else pd.NaT)\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 346,
-   "id": "5a1fe408-ae4c-4957-a39b-50a4d5423319",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "6214778    2023-10-23 09:31:50.168545+02:00\n",
-       "6214779    2023-10-23 09:31:28.570386+02:00\n",
-       "6214780    2023-10-23 09:02:26.494195+02:00\n",
-       "6214781    2023-10-23 09:32:34.454957+02:00\n",
-       "6214782    2023-10-23 09:31:29.139217+02:00\n",
-       "6214783    2023-10-23 09:32:06.223901+02:00\n",
-       "6214784    2023-10-23 09:31:52.702258+02:00\n",
-       "6214785    2023-10-23 09:31:45.051321+02:00\n",
-       "6214786    2023-10-23 09:32:55.350092+02:00\n",
-       "6214787    2023-10-23 09:33:14.007405+02:00\n",
-       "6214788    2023-10-23 09:32:44.645432+02:00\n",
-       "6214789    2023-10-23 09:02:27.578671+02:00\n",
-       "6214790    2023-10-23 09:34:24.879045+02:00\n",
-       "6214791    2023-10-23 09:34:02.075066+02:00\n",
-       "6214792    2023-10-23 09:33:20.349918+02:00\n",
-       "6214793    2023-10-23 09:34:25.631234+02:00\n",
-       "6214794    2023-10-23 09:34:27.581150+02:00\n",
-       "6214795    2023-10-23 09:31:45.192200+02:00\n",
-       "6214796    2023-10-23 09:32:52.018890+02:00\n",
-       "6214797    2023-10-23 09:02:01.558573+02:00\n",
-       "6214798    2023-10-23 09:34:48.543213+02:00\n",
-       "6214799    2023-10-23 09:32:15.109097+02:00\n",
-       "6214800    2023-10-23 09:34:26.590416+02:00\n",
-       "6214801    2023-10-23 09:32:02.729363+02:00\n",
-       "6214802    2023-10-23 09:31:41.055337+02:00\n",
-       "6214803    2023-10-23 09:32:36.564696+02:00\n",
-       "6214804    2023-10-23 09:32:50.829641+02:00\n",
-       "6214805    2023-10-23 09:33:31.102500+02:00\n",
-       "6214806    2023-10-23 09:31:55.768547+02:00\n",
-       "6214807    2023-10-23 09:33:57.477892+02:00\n",
-       "Name: created_at, dtype: object"
-      ]
-     },
-     "execution_count": 346,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df1_campaigns_full[\"created_at\"].tail(30)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 349,
-   "id": "feb3fc34-51f2-45d5-8f34-9940a14e9060",
-   "metadata": {},
-   "outputs": [
-    {
-     "ename": "ValueError",
-     "evalue": "time data \"2023-10-23 09:31:50.168545+02:00\" doesn't match format \"%Y-%m-%d %H:%M:%S%z\", at position 1. You might want to try:\n    - passing `format` if your strings have a consistent format;\n    - passing `format='ISO8601'` if your strings are all ISO8601 but not necessarily in exactly the same format;\n    - passing `format='mixed'`, and the format will be inferred for each element individually. You might want to use `dayfirst` alongside this.",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
-      "Cell \u001b[0;32mIn[349], line 9\u001b[0m\n\u001b[1;32m      4\u001b[0m df \u001b[38;5;241m=\u001b[39m pd\u001b[38;5;241m.\u001b[39mDataFrame({\n\u001b[1;32m      5\u001b[0m     \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mdate_str\u001b[39m\u001b[38;5;124m'\u001b[39m: [\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m2022-05-06 12:00:23+02:00\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m2023-10-23 09:31:50.168545+02:00\u001b[39m\u001b[38;5;124m'\u001b[39m]\n\u001b[1;32m      6\u001b[0m })\n\u001b[1;32m      8\u001b[0m \u001b[38;5;66;03m# Convertir la colonne 'date_str' en datetime en conservant l'information sur le fuseau horaire (datetime64[ns])\u001b[39;00m\n\u001b[0;32m----> 9\u001b[0m df[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mdate\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[43mpd\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mto_datetime\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdf\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mdate_str\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mutc\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m)\u001b[49m\n\u001b[1;32m     11\u001b[0m \u001b[38;5;66;03m# Afficher le DataFrame résultant\u001b[39;00m\n\u001b[1;32m     12\u001b[0m \u001b[38;5;28mprint\u001b[39m(df)\n",
-      "File \u001b[0;32m/opt/mamba/lib/python3.10/site-packages/pandas/core/tools/datetimes.py:1112\u001b[0m, in \u001b[0;36mto_datetime\u001b[0;34m(arg, errors, dayfirst, yearfirst, utc, format, exact, unit, infer_datetime_format, origin, cache)\u001b[0m\n\u001b[1;32m   1110\u001b[0m         result \u001b[38;5;241m=\u001b[39m arg\u001b[38;5;241m.\u001b[39mmap(cache_array)\n\u001b[1;32m   1111\u001b[0m     \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m-> 1112\u001b[0m         values \u001b[38;5;241m=\u001b[39m \u001b[43mconvert_listlike\u001b[49m\u001b[43m(\u001b[49m\u001b[43marg\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_values\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mformat\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1113\u001b[0m         result \u001b[38;5;241m=\u001b[39m arg\u001b[38;5;241m.\u001b[39m_constructor(values, index\u001b[38;5;241m=\u001b[39marg\u001b[38;5;241m.\u001b[39mindex, name\u001b[38;5;241m=\u001b[39marg\u001b[38;5;241m.\u001b[39mname)\n\u001b[1;32m   1114\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(arg, (ABCDataFrame, abc\u001b[38;5;241m.\u001b[39mMutableMapping)):\n",
-      "File \u001b[0;32m/opt/mamba/lib/python3.10/site-packages/pandas/core/tools/datetimes.py:488\u001b[0m, in \u001b[0;36m_convert_listlike_datetimes\u001b[0;34m(arg, format, name, utc, unit, errors, dayfirst, yearfirst, exact)\u001b[0m\n\u001b[1;32m    486\u001b[0m \u001b[38;5;66;03m# `format` could be inferred, or user didn't ask for mixed-format parsing.\u001b[39;00m\n\u001b[1;32m    487\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mformat\u001b[39m \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mformat\u001b[39m \u001b[38;5;241m!=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmixed\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[0;32m--> 488\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43m_array_strptime_with_fallback\u001b[49m\u001b[43m(\u001b[49m\u001b[43marg\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mname\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mutc\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mformat\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mexact\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43merrors\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    490\u001b[0m result, tz_parsed \u001b[38;5;241m=\u001b[39m objects_to_datetime64ns(\n\u001b[1;32m    491\u001b[0m     arg,\n\u001b[1;32m    492\u001b[0m     dayfirst\u001b[38;5;241m=\u001b[39mdayfirst,\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    496\u001b[0m     allow_object\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m,\n\u001b[1;32m    497\u001b[0m )\n\u001b[1;32m    499\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m tz_parsed \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m    500\u001b[0m     \u001b[38;5;66;03m# We can take a shortcut since the datetime64 numpy array\u001b[39;00m\n\u001b[1;32m    501\u001b[0m     \u001b[38;5;66;03m# is in UTC\u001b[39;00m\n",
-      "File \u001b[0;32m/opt/mamba/lib/python3.10/site-packages/pandas/core/tools/datetimes.py:519\u001b[0m, in \u001b[0;36m_array_strptime_with_fallback\u001b[0;34m(arg, name, utc, fmt, exact, errors)\u001b[0m\n\u001b[1;32m    508\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_array_strptime_with_fallback\u001b[39m(\n\u001b[1;32m    509\u001b[0m     arg,\n\u001b[1;32m    510\u001b[0m     name,\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    514\u001b[0m     errors: \u001b[38;5;28mstr\u001b[39m,\n\u001b[1;32m    515\u001b[0m ) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Index:\n\u001b[1;32m    516\u001b[0m \u001b[38;5;250m    \u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m    517\u001b[0m \u001b[38;5;124;03m    Call array_strptime, with fallback behavior depending on 'errors'.\u001b[39;00m\n\u001b[1;32m    518\u001b[0m \u001b[38;5;124;03m    \"\"\"\u001b[39;00m\n\u001b[0;32m--> 519\u001b[0m     result, timezones \u001b[38;5;241m=\u001b[39m \u001b[43marray_strptime\u001b[49m\u001b[43m(\u001b[49m\u001b[43marg\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfmt\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mexact\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mexact\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43merrors\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43merrors\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mutc\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mutc\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    520\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28many\u001b[39m(tz \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;28;01mfor\u001b[39;00m tz \u001b[38;5;129;01min\u001b[39;00m timezones):\n\u001b[1;32m    521\u001b[0m         \u001b[38;5;28;01mreturn\u001b[39;00m _return_parsed_timezone_results(result, timezones, utc, name)\n",
-      "File \u001b[0;32mstrptime.pyx:534\u001b[0m, in \u001b[0;36mpandas._libs.tslibs.strptime.array_strptime\u001b[0;34m()\u001b[0m\n",
-      "File \u001b[0;32mstrptime.pyx:355\u001b[0m, in \u001b[0;36mpandas._libs.tslibs.strptime.array_strptime\u001b[0;34m()\u001b[0m\n",
-      "\u001b[0;31mValueError\u001b[0m: time data \"2023-10-23 09:31:50.168545+02:00\" doesn't match format \"%Y-%m-%d %H:%M:%S%z\", at position 1. You might want to try:\n    - passing `format` if your strings have a consistent format;\n    - passing `format='ISO8601'` if your strings are all ISO8601 but not necessarily in exactly the same format;\n    - passing `format='mixed'`, and the format will be inferred for each element individually. You might want to use `dayfirst` alongside this."
-     ]
-    }
-   ],
-   "source": [
-    "import pandas as pd\n",
-    "\n",
-    "# Exemple de DataFrame avec une colonne 'date_str' contenant des dates en formats différents\n",
-    "df = pd.DataFrame({\n",
-    "    'date_str': ['2022-05-06 12:00:23+02:00', '2023-10-23 09:31:50.168545+02:00']\n",
-    "})\n",
-    "\n",
-    "# Convertir la colonne 'date_str' en datetime en conservant l'information sur le fuseau horaire (datetime64[ns])\n",
-    "df['date'] = pd.to_datetime(df['date_str'], utc=True)\n",
-    "\n",
-    "# Afficher le DataFrame résultant\n",
-    "print(df)\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 350,
-   "id": "da01f2d8-3c1e-4d43-92ef-6236a24963d0",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "                          date_str                             date\n",
-      "0        2022-05-06 12:00:23+02:00        2022-05-06 10:00:23+00:00\n",
-      "1  023-10-23 09:31:50.168545+02:00  023-10-23 09:31:50.168545+02:00\n"
-     ]
-    }
-   ],
-   "source": [
-    "\n",
-    "# Exemple de DataFrame avec une colonne 'date_str' contenant des dates en formats différents\n",
-    "df = pd.DataFrame({\n",
-    "    'date_str': ['2022-05-06 12:00:23+02:00', '023-10-23 09:31:50.168545+02:00']\n",
-    "})\n",
-    "\n",
-    "# Fonction lambda pour convertir la colonne 'date_str' en datetime avec précision\n",
-    "def convert_to_datetime_with_precision(x):\n",
-    "    if pd.notna(x):\n",
-    "        # Format avec nanosecondes\n",
-    "        try:\n",
-    "            return pd.to_datetime(x, utc=True)\n",
-    "        except ValueError:\n",
-    "            pass\n",
-    "\n",
-    "        # Format sans nanosecondes\n",
-    "        try:\n",
-    "            return pd.to_datetime(x, utc=True, format=\"%Y-%m-%d %H:%M:%S%z\")\n",
-    "        except ValueError:\n",
-    "            pass\n",
-    "\n",
-    "    return x\n",
-    "\n",
-    "# Appliquer la fonction lambda à la colonne 'date_str'\n",
-    "df['date'] = df['date_str'].apply(convert_to_datetime_with_precision)\n",
-    "\n",
-    "# Afficher le DataFrame résultant\n",
-    "print(df)\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 351,
-   "id": "e6ca12c8-be66-4537-b759-036123b74b7b",
-   "metadata": {},
-   "outputs": [
-    {
-     "ename": "KeyboardInterrupt",
-     "evalue": "",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
-      "Cell \u001b[0;32mIn[351], line 7\u001b[0m\n\u001b[1;32m      3\u001b[0m columns_to_convert \u001b[38;5;241m=\u001b[39m [\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124msent_at\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdelivered_at\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcreated_at\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mupdated_at\u001b[39m\u001b[38;5;124m\"\u001b[39m, \n\u001b[1;32m      4\u001b[0m                       \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcampaign_sent_at\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcampaign_created_at\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcampaign_updated_at\u001b[39m\u001b[38;5;124m\"\u001b[39m]\n\u001b[1;32m      6\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m column \u001b[38;5;129;01min\u001b[39;00m columns_to_convert :\n\u001b[0;32m----> 7\u001b[0m     df1_campaigns_full[column] \u001b[38;5;241m=\u001b[39m \u001b[43mdf1_campaigns_full\u001b[49m\u001b[43m[\u001b[49m\u001b[43mcolumn\u001b[49m\u001b[43m]\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mapply\u001b[49m\u001b[43m(\u001b[49m\u001b[43mconvert_to_datetime_with_precision\u001b[49m\u001b[43m)\u001b[49m\n",
-      "File \u001b[0;32m/opt/mamba/lib/python3.10/site-packages/pandas/core/series.py:4764\u001b[0m, in \u001b[0;36mSeries.apply\u001b[0;34m(self, func, convert_dtype, args, by_row, **kwargs)\u001b[0m\n\u001b[1;32m   4629\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mapply\u001b[39m(\n\u001b[1;32m   4630\u001b[0m     \u001b[38;5;28mself\u001b[39m,\n\u001b[1;32m   4631\u001b[0m     func: AggFuncType,\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m   4636\u001b[0m     \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs,\n\u001b[1;32m   4637\u001b[0m ) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m DataFrame \u001b[38;5;241m|\u001b[39m Series:\n\u001b[1;32m   4638\u001b[0m \u001b[38;5;250m    \u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m   4639\u001b[0m \u001b[38;5;124;03m    Invoke function on values of Series.\u001b[39;00m\n\u001b[1;32m   4640\u001b[0m \n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m   4755\u001b[0m \u001b[38;5;124;03m    dtype: float64\u001b[39;00m\n\u001b[1;32m   4756\u001b[0m \u001b[38;5;124;03m    \"\"\"\u001b[39;00m\n\u001b[1;32m   4757\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mSeriesApply\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m   4758\u001b[0m \u001b[43m        \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m   4759\u001b[0m \u001b[43m        \u001b[49m\u001b[43mfunc\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   4760\u001b[0m \u001b[43m        \u001b[49m\u001b[43mconvert_dtype\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mconvert_dtype\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   4761\u001b[0m \u001b[43m        \u001b[49m\u001b[43mby_row\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mby_row\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   4762\u001b[0m \u001b[43m        \u001b[49m\u001b[43margs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   4763\u001b[0m \u001b[43m        \u001b[49m\u001b[43mkwargs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m-> 4764\u001b[0m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mapply\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n",
-      "File \u001b[0;32m/opt/mamba/lib/python3.10/site-packages/pandas/core/apply.py:1209\u001b[0m, in \u001b[0;36mSeriesApply.apply\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m   1206\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mapply_compat()\n\u001b[1;32m   1208\u001b[0m \u001b[38;5;66;03m# self.func is Callable\u001b[39;00m\n\u001b[0;32m-> 1209\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mapply_standard\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n",
-      "File \u001b[0;32m/opt/mamba/lib/python3.10/site-packages/pandas/core/apply.py:1289\u001b[0m, in \u001b[0;36mSeriesApply.apply_standard\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m   1283\u001b[0m \u001b[38;5;66;03m# row-wise access\u001b[39;00m\n\u001b[1;32m   1284\u001b[0m \u001b[38;5;66;03m# apply doesn't have a `na_action` keyword and for backward compat reasons\u001b[39;00m\n\u001b[1;32m   1285\u001b[0m \u001b[38;5;66;03m# we need to give `na_action=\"ignore\"` for categorical data.\u001b[39;00m\n\u001b[1;32m   1286\u001b[0m \u001b[38;5;66;03m# TODO: remove the `na_action=\"ignore\"` when that default has been changed in\u001b[39;00m\n\u001b[1;32m   1287\u001b[0m \u001b[38;5;66;03m#  Categorical (GH51645).\u001b[39;00m\n\u001b[1;32m   1288\u001b[0m action \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mignore\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(obj\u001b[38;5;241m.\u001b[39mdtype, CategoricalDtype) \u001b[38;5;28;01melse\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[0;32m-> 1289\u001b[0m mapped \u001b[38;5;241m=\u001b[39m \u001b[43mobj\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_map_values\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m   1290\u001b[0m \u001b[43m    \u001b[49m\u001b[43mmapper\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcurried\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mna_action\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43maction\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mconvert\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mconvert_dtype\u001b[49m\n\u001b[1;32m   1291\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1293\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(mapped) \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(mapped[\u001b[38;5;241m0\u001b[39m], ABCSeries):\n\u001b[1;32m   1294\u001b[0m     \u001b[38;5;66;03m# GH#43986 Need to do list(mapped) in order to get treated as nested\u001b[39;00m\n\u001b[1;32m   1295\u001b[0m     \u001b[38;5;66;03m#  See also GH#25959 regarding EA support\u001b[39;00m\n\u001b[1;32m   1296\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m obj\u001b[38;5;241m.\u001b[39m_constructor_expanddim(\u001b[38;5;28mlist\u001b[39m(mapped), index\u001b[38;5;241m=\u001b[39mobj\u001b[38;5;241m.\u001b[39mindex)\n",
-      "File \u001b[0;32m/opt/mamba/lib/python3.10/site-packages/pandas/core/base.py:921\u001b[0m, in \u001b[0;36mIndexOpsMixin._map_values\u001b[0;34m(self, mapper, na_action, convert)\u001b[0m\n\u001b[1;32m    918\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(arr, ExtensionArray):\n\u001b[1;32m    919\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m arr\u001b[38;5;241m.\u001b[39mmap(mapper, na_action\u001b[38;5;241m=\u001b[39mna_action)\n\u001b[0;32m--> 921\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43malgorithms\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmap_array\u001b[49m\u001b[43m(\u001b[49m\u001b[43marr\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmapper\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mna_action\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mna_action\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mconvert\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mconvert\u001b[49m\u001b[43m)\u001b[49m\n",
-      "File \u001b[0;32m/opt/mamba/lib/python3.10/site-packages/pandas/core/algorithms.py:1814\u001b[0m, in \u001b[0;36mmap_array\u001b[0;34m(arr, mapper, na_action, convert)\u001b[0m\n\u001b[1;32m   1812\u001b[0m values \u001b[38;5;241m=\u001b[39m arr\u001b[38;5;241m.\u001b[39mastype(\u001b[38;5;28mobject\u001b[39m, copy\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m)\n\u001b[1;32m   1813\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m na_action \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m-> 1814\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mlib\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmap_infer\u001b[49m\u001b[43m(\u001b[49m\u001b[43mvalues\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmapper\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mconvert\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mconvert\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1815\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m   1816\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m lib\u001b[38;5;241m.\u001b[39mmap_infer_mask(\n\u001b[1;32m   1817\u001b[0m         values, mapper, mask\u001b[38;5;241m=\u001b[39misna(values)\u001b[38;5;241m.\u001b[39mview(np\u001b[38;5;241m.\u001b[39muint8), convert\u001b[38;5;241m=\u001b[39mconvert\n\u001b[1;32m   1818\u001b[0m     )\n",
-      "File \u001b[0;32mlib.pyx:2926\u001b[0m, in \u001b[0;36mpandas._libs.lib.map_infer\u001b[0;34m()\u001b[0m\n",
-      "Cell \u001b[0;32mIn[350], line 11\u001b[0m, in \u001b[0;36mconvert_to_datetime_with_precision\u001b[0;34m(x)\u001b[0m\n\u001b[1;32m      8\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m pd\u001b[38;5;241m.\u001b[39mnotna(x):\n\u001b[1;32m      9\u001b[0m     \u001b[38;5;66;03m# Format avec nanosecondes\u001b[39;00m\n\u001b[1;32m     10\u001b[0m     \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m---> 11\u001b[0m         \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mpd\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mto_datetime\u001b[49m\u001b[43m(\u001b[49m\u001b[43mx\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mutc\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m)\u001b[49m\n\u001b[1;32m     12\u001b[0m     \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m:\n\u001b[1;32m     13\u001b[0m         \u001b[38;5;28;01mpass\u001b[39;00m\n",
-      "File \u001b[0;32m/opt/mamba/lib/python3.10/site-packages/pandas/core/tools/datetimes.py:1146\u001b[0m, in \u001b[0;36mto_datetime\u001b[0;34m(arg, errors, dayfirst, yearfirst, utc, format, exact, unit, infer_datetime_format, origin, cache)\u001b[0m\n\u001b[1;32m   1144\u001b[0m         result \u001b[38;5;241m=\u001b[39m convert_listlike(argc, \u001b[38;5;28mformat\u001b[39m)\n\u001b[1;32m   1145\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m-> 1146\u001b[0m     result \u001b[38;5;241m=\u001b[39m \u001b[43mconvert_listlike\u001b[49m\u001b[43m(\u001b[49m\u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43marray\u001b[49m\u001b[43m(\u001b[49m\u001b[43m[\u001b[49m\u001b[43marg\u001b[49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mformat\u001b[39;49m\u001b[43m)\u001b[49m[\u001b[38;5;241m0\u001b[39m]\n\u001b[1;32m   1147\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(arg, \u001b[38;5;28mbool\u001b[39m) \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(result, np\u001b[38;5;241m.\u001b[39mbool_):\n\u001b[1;32m   1148\u001b[0m         result \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mbool\u001b[39m(result)  \u001b[38;5;66;03m# TODO: avoid this kludge.\u001b[39;00m\n",
-      "File \u001b[0;32m/opt/mamba/lib/python3.10/site-packages/pandas/core/tools/datetimes.py:488\u001b[0m, in \u001b[0;36m_convert_listlike_datetimes\u001b[0;34m(arg, format, name, utc, unit, errors, dayfirst, yearfirst, exact)\u001b[0m\n\u001b[1;32m    486\u001b[0m \u001b[38;5;66;03m# `format` could be inferred, or user didn't ask for mixed-format parsing.\u001b[39;00m\n\u001b[1;32m    487\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mformat\u001b[39m \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mformat\u001b[39m \u001b[38;5;241m!=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmixed\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[0;32m--> 488\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43m_array_strptime_with_fallback\u001b[49m\u001b[43m(\u001b[49m\u001b[43marg\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mname\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mutc\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mformat\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mexact\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43merrors\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    490\u001b[0m result, tz_parsed \u001b[38;5;241m=\u001b[39m objects_to_datetime64ns(\n\u001b[1;32m    491\u001b[0m     arg,\n\u001b[1;32m    492\u001b[0m     dayfirst\u001b[38;5;241m=\u001b[39mdayfirst,\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    496\u001b[0m     allow_object\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m,\n\u001b[1;32m    497\u001b[0m )\n\u001b[1;32m    499\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m tz_parsed \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m    500\u001b[0m     \u001b[38;5;66;03m# We can take a shortcut since the datetime64 numpy array\u001b[39;00m\n\u001b[1;32m    501\u001b[0m     \u001b[38;5;66;03m# is in UTC\u001b[39;00m\n",
-      "File \u001b[0;32m/opt/mamba/lib/python3.10/site-packages/pandas/core/tools/datetimes.py:521\u001b[0m, in \u001b[0;36m_array_strptime_with_fallback\u001b[0;34m(arg, name, utc, fmt, exact, errors)\u001b[0m\n\u001b[1;32m    519\u001b[0m result, timezones \u001b[38;5;241m=\u001b[39m array_strptime(arg, fmt, exact\u001b[38;5;241m=\u001b[39mexact, errors\u001b[38;5;241m=\u001b[39merrors, utc\u001b[38;5;241m=\u001b[39mutc)\n\u001b[1;32m    520\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28many\u001b[39m(tz \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;28;01mfor\u001b[39;00m tz \u001b[38;5;129;01min\u001b[39;00m timezones):\n\u001b[0;32m--> 521\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43m_return_parsed_timezone_results\u001b[49m\u001b[43m(\u001b[49m\u001b[43mresult\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtimezones\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mutc\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mname\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    523\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m _box_as_indexlike(result, utc\u001b[38;5;241m=\u001b[39mutc, name\u001b[38;5;241m=\u001b[39mname)\n",
-      "File \u001b[0;32m/opt/mamba/lib/python3.10/site-packages/pandas/core/tools/datetimes.py:344\u001b[0m, in \u001b[0;36m_return_parsed_timezone_results\u001b[0;34m(result, timezones, utc, name)\u001b[0m\n\u001b[1;32m    342\u001b[0m tz_results \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39mempty(\u001b[38;5;28mlen\u001b[39m(result), dtype\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mobject\u001b[39m)\n\u001b[1;32m    343\u001b[0m non_na_timezones \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mset\u001b[39m()\n\u001b[0;32m--> 344\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m zone \u001b[38;5;129;01min\u001b[39;00m \u001b[43munique\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtimezones\u001b[49m\u001b[43m)\u001b[49m:\n\u001b[1;32m    345\u001b[0m     mask \u001b[38;5;241m=\u001b[39m timezones \u001b[38;5;241m==\u001b[39m zone\n\u001b[1;32m    346\u001b[0m     dta \u001b[38;5;241m=\u001b[39m DatetimeArray(result[mask])\u001b[38;5;241m.\u001b[39mtz_localize(zone)\n",
-      "File \u001b[0;32m/opt/mamba/lib/python3.10/site-packages/pandas/core/algorithms.py:401\u001b[0m, in \u001b[0;36munique\u001b[0;34m(values)\u001b[0m\n\u001b[1;32m    307\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21munique\u001b[39m(values):\n\u001b[1;32m    308\u001b[0m \u001b[38;5;250m    \u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m    309\u001b[0m \u001b[38;5;124;03m    Return unique values based on a hash table.\u001b[39;00m\n\u001b[1;32m    310\u001b[0m \n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    399\u001b[0m \u001b[38;5;124;03m    array([('a', 'b'), ('b', 'a'), ('a', 'c')], dtype=object)\u001b[39;00m\n\u001b[1;32m    400\u001b[0m \u001b[38;5;124;03m    \"\"\"\u001b[39;00m\n\u001b[0;32m--> 401\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43munique_with_mask\u001b[49m\u001b[43m(\u001b[49m\u001b[43mvalues\u001b[49m\u001b[43m)\u001b[49m\n",
-      "File \u001b[0;32m/opt/mamba/lib/python3.10/site-packages/pandas/core/algorithms.py:440\u001b[0m, in \u001b[0;36munique_with_mask\u001b[0;34m(values, mask)\u001b[0m\n\u001b[1;32m    438\u001b[0m table \u001b[38;5;241m=\u001b[39m hashtable(\u001b[38;5;28mlen\u001b[39m(values))\n\u001b[1;32m    439\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m mask \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m--> 440\u001b[0m     uniques \u001b[38;5;241m=\u001b[39m \u001b[43mtable\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43munique\u001b[49m\u001b[43m(\u001b[49m\u001b[43mvalues\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    441\u001b[0m     uniques \u001b[38;5;241m=\u001b[39m _reconstruct_data(uniques, original\u001b[38;5;241m.\u001b[39mdtype, original)\n\u001b[1;32m    442\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m uniques\n",
-      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
-     ]
-    }
-   ],
-   "source": [
-    "# loop over all dates to convert \n",
-    "\n",
-    "columns_to_convert = [\"sent_at\", \"delivered_at\", \"created_at\", \"updated_at\", \n",
-    "                      \"campaign_sent_at\", \"campaign_created_at\", \"campaign_updated_at\"]\n",
-    "\n",
-    "for column in columns_to_convert :\n",
-    "    df1_campaigns_full[column] = df1_campaigns_full[column].apply(convert_to_datetime_with_precision)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 356,
-   "id": "61e1f604-23ce-4cb2-8ad3-523c62e80e68",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
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-       "\n",
-       "    .dataframe tbody tr th {\n",
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-       "\n",
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-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>id</th>\n",
-       "      <th>campaign_id</th>\n",
-       "      <th>customer_id</th>\n",
-       "      <th>opened_at</th>\n",
-       "      <th>sent_at</th>\n",
-       "      <th>delivered_at</th>\n",
-       "      <th>created_at</th>\n",
-       "      <th>updated_at</th>\n",
-       "      <th>campaign_name</th>\n",
-       "      <th>campaign_service_id</th>\n",
-       "      <th>campaign_created_at</th>\n",
-       "      <th>campaign_updated_at</th>\n",
-       "      <th>campaign_sent_at</th>\n",
-       "      <th>campaign_identifier</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>4081002</th>\n",
-       "      <td>23728</td>\n",
-       "      <td>58</td>\n",
-       "      <td>8268</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>2021-03-28 18:00:57+02:00</td>\n",
-       "      <td>2021-03-28 18:43:38+02:00</td>\n",
-       "      <td>2021-03-28 18:43:42.928685+02:00</td>\n",
-       "      <td>2022-04-15 22:52:04.397693+02:00</td>\n",
-       "      <td>Le Mucem chez vous, gardons le lien #22</td>\n",
-       "      <td>404</td>\n",
-       "      <td>2021-03-28 18:01:45.448313+02:00</td>\n",
-       "      <td>2021-09-24 11:56:07.723413+02:00</td>\n",
-       "      <td>2021-03-28 00:00:00+01:00</td>\n",
-       "      <td>4f4adcbf8c6f66dcfc8a3282ac2bf10a</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4076139</th>\n",
-       "      <td>4552</td>\n",
-       "      <td>58</td>\n",
-       "      <td>1472</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>2021-03-28 18:00:57+02:00</td>\n",
-       "      <td>2021-03-28 18:03:26+02:00</td>\n",
-       "      <td>2021-03-28 18:03:28.229670+02:00</td>\n",
-       "      <td>2022-04-15 22:52:04.397693+02:00</td>\n",
-       "      <td>Le Mucem chez vous, gardons le lien #22</td>\n",
-       "      <td>404</td>\n",
-       "      <td>2021-03-28 18:01:45.448313+02:00</td>\n",
-       "      <td>2021-09-24 11:56:07.723413+02:00</td>\n",
-       "      <td>2021-03-28 00:00:00+01:00</td>\n",
-       "      <td>4f4adcbf8c6f66dcfc8a3282ac2bf10a</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4081572</th>\n",
-       "      <td>14070</td>\n",
-       "      <td>58</td>\n",
-       "      <td>7978</td>\n",
-       "      <td>2021-03-29 08:38:06+02:00</td>\n",
-       "      <td>2021-03-28 18:00:57+02:00</td>\n",
-       "      <td>2021-03-28 18:20:45+02:00</td>\n",
-       "      <td>2021-03-28 18:20:49.431860+02:00</td>\n",
-       "      <td>2022-04-15 22:52:04.397693+02:00</td>\n",
-       "      <td>Le Mucem chez vous, gardons le lien #22</td>\n",
-       "      <td>404</td>\n",
-       "      <td>2021-03-28 18:01:45.448313+02:00</td>\n",
-       "      <td>2021-09-24 11:56:07.723413+02:00</td>\n",
-       "      <td>2021-03-28 00:00:00+01:00</td>\n",
-       "      <td>4f4adcbf8c6f66dcfc8a3282ac2bf10a</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4094833</th>\n",
-       "      <td>6969</td>\n",
-       "      <td>58</td>\n",
-       "      <td>32211</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>2021-03-28 18:00:57+02:00</td>\n",
-       "      <td>2021-03-28 18:09:18+02:00</td>\n",
-       "      <td>2021-03-28 18:09:20.571462+02:00</td>\n",
-       "      <td>2022-04-15 22:52:04.397693+02:00</td>\n",
-       "      <td>Le Mucem chez vous, gardons le lien #22</td>\n",
-       "      <td>404</td>\n",
-       "      <td>2021-03-28 18:01:45.448313+02:00</td>\n",
-       "      <td>2021-09-24 11:56:07.723413+02:00</td>\n",
-       "      <td>2021-03-28 00:00:00+01:00</td>\n",
-       "      <td>4f4adcbf8c6f66dcfc8a3282ac2bf10a</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4094827</th>\n",
-       "      <td>9662</td>\n",
-       "      <td>58</td>\n",
-       "      <td>30980</td>\n",
-       "      <td>2021-04-04 17:54:51+02:00</td>\n",
-       "      <td>2021-03-28 18:00:57+02:00</td>\n",
-       "      <td>2021-03-28 18:03:29+02:00</td>\n",
-       "      <td>2021-03-28 18:13:33.153720+02:00</td>\n",
-       "      <td>2022-04-15 22:52:04.397693+02:00</td>\n",
-       "      <td>Le Mucem chez vous, gardons le lien #22</td>\n",
-       "      <td>404</td>\n",
-       "      <td>2021-03-28 18:01:45.448313+02:00</td>\n",
-       "      <td>2021-09-24 11:56:07.723413+02:00</td>\n",
-       "      <td>2021-03-28 00:00:00+01:00</td>\n",
-       "      <td>4f4adcbf8c6f66dcfc8a3282ac2bf10a</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",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8961</th>\n",
-       "      <td>12417</td>\n",
-       "      <td>58</td>\n",
-       "      <td>33400</td>\n",
-       "      <td>2021-03-28 21:27:57+02:00</td>\n",
-       "      <td>2021-03-28 18:17:35+02:00</td>\n",
-       "      <td>2021-03-28 18:17:36+02:00</td>\n",
-       "      <td>2021-03-28 18:17:36.735495+02:00</td>\n",
-       "      <td>2021-03-28 19:27:57.503961+02:00</td>\n",
-       "      <td>Le Mucem chez vous, gardons le lien #22</td>\n",
-       "      <td>404</td>\n",
-       "      <td>2021-03-28 18:01:45.448313+02:00</td>\n",
-       "      <td>2021-09-24 11:56:07.723413+02:00</td>\n",
-       "      <td>2021-03-28 00:00:00+01:00</td>\n",
-       "      <td>4f4adcbf8c6f66dcfc8a3282ac2bf10a</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>20380</th>\n",
-       "      <td>18205</td>\n",
-       "      <td>58</td>\n",
-       "      <td>106495</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>2021-03-28 18:30:08+02:00</td>\n",
-       "      <td>2021-03-28 18:30:11+02:00</td>\n",
-       "      <td>2021-03-28 18:30:11.453742+02:00</td>\n",
-       "      <td>2021-03-28 18:30:11.474019+02:00</td>\n",
-       "      <td>Le Mucem chez vous, gardons le lien #22</td>\n",
-       "      <td>404</td>\n",
-       "      <td>2021-03-28 18:01:45.448313+02:00</td>\n",
-       "      <td>2021-09-24 11:56:07.723413+02:00</td>\n",
-       "      <td>2021-03-28 00:00:00+01:00</td>\n",
-       "      <td>4f4adcbf8c6f66dcfc8a3282ac2bf10a</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>27298</th>\n",
-       "      <td>22107</td>\n",
-       "      <td>58</td>\n",
-       "      <td>104781</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>2021-03-28 18:39:55+02:00</td>\n",
-       "      <td>2021-03-28 18:39:56+02:00</td>\n",
-       "      <td>2021-03-28 18:39:56.430679+02:00</td>\n",
-       "      <td>2021-03-28 18:39:56.435656+02:00</td>\n",
-       "      <td>Le Mucem chez vous, gardons le lien #22</td>\n",
-       "      <td>404</td>\n",
-       "      <td>2021-03-28 18:01:45.448313+02:00</td>\n",
-       "      <td>2021-09-24 11:56:07.723413+02:00</td>\n",
-       "      <td>2021-03-28 00:00:00+01:00</td>\n",
-       "      <td>4f4adcbf8c6f66dcfc8a3282ac2bf10a</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>29107</th>\n",
-       "      <td>22389</td>\n",
-       "      <td>58</td>\n",
-       "      <td>111570</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>2021-03-28 18:40:38+02:00</td>\n",
-       "      <td>2021-03-28 18:40:40+02:00</td>\n",
-       "      <td>2021-03-28 18:40:40.975334+02:00</td>\n",
-       "      <td>2021-03-28 18:40:40.979852+02:00</td>\n",
-       "      <td>Le Mucem chez vous, gardons le lien #22</td>\n",
-       "      <td>404</td>\n",
-       "      <td>2021-03-28 18:01:45.448313+02:00</td>\n",
-       "      <td>2021-09-24 11:56:07.723413+02:00</td>\n",
-       "      <td>2021-03-28 00:00:00+01:00</td>\n",
-       "      <td>4f4adcbf8c6f66dcfc8a3282ac2bf10a</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>27962</th>\n",
-       "      <td>29258</td>\n",
-       "      <td>58</td>\n",
-       "      <td>119496</td>\n",
-       "      <td>2021-03-29 21:03:52+02:00</td>\n",
-       "      <td>2021-03-28 20:52:26+02:00</td>\n",
-       "      <td>2021-03-28 20:52:30+02:00</td>\n",
-       "      <td>2021-03-28 20:52:30.261271+02:00</td>\n",
-       "      <td>2021-03-29 19:03:52.527753+02:00</td>\n",
-       "      <td>Le Mucem chez vous, gardons le lien #22</td>\n",
-       "      <td>404</td>\n",
-       "      <td>2021-03-28 18:01:45.448313+02:00</td>\n",
-       "      <td>2021-09-24 11:56:07.723413+02:00</td>\n",
-       "      <td>2021-03-28 00:00:00+01:00</td>\n",
-       "      <td>4f4adcbf8c6f66dcfc8a3282ac2bf10a</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>26464 rows × 14 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "            id  campaign_id  customer_id                  opened_at  \\\n",
-       "4081002  23728           58         8268                        NaN   \n",
-       "4076139   4552           58         1472                        NaN   \n",
-       "4081572  14070           58         7978  2021-03-29 08:38:06+02:00   \n",
-       "4094833   6969           58        32211                        NaN   \n",
-       "4094827   9662           58        30980  2021-04-04 17:54:51+02:00   \n",
-       "...        ...          ...          ...                        ...   \n",
-       "8961     12417           58        33400  2021-03-28 21:27:57+02:00   \n",
-       "20380    18205           58       106495                        NaN   \n",
-       "27298    22107           58       104781                        NaN   \n",
-       "29107    22389           58       111570                        NaN   \n",
-       "27962    29258           58       119496  2021-03-29 21:03:52+02:00   \n",
-       "\n",
-       "                           sent_at               delivered_at  \\\n",
-       "4081002  2021-03-28 18:00:57+02:00  2021-03-28 18:43:38+02:00   \n",
-       "4076139  2021-03-28 18:00:57+02:00  2021-03-28 18:03:26+02:00   \n",
-       "4081572  2021-03-28 18:00:57+02:00  2021-03-28 18:20:45+02:00   \n",
-       "4094833  2021-03-28 18:00:57+02:00  2021-03-28 18:09:18+02:00   \n",
-       "4094827  2021-03-28 18:00:57+02:00  2021-03-28 18:03:29+02:00   \n",
-       "...                            ...                        ...   \n",
-       "8961     2021-03-28 18:17:35+02:00  2021-03-28 18:17:36+02:00   \n",
-       "20380    2021-03-28 18:30:08+02:00  2021-03-28 18:30:11+02:00   \n",
-       "27298    2021-03-28 18:39:55+02:00  2021-03-28 18:39:56+02:00   \n",
-       "29107    2021-03-28 18:40:38+02:00  2021-03-28 18:40:40+02:00   \n",
-       "27962    2021-03-28 20:52:26+02:00  2021-03-28 20:52:30+02:00   \n",
-       "\n",
-       "                               created_at                        updated_at  \\\n",
-       "4081002  2021-03-28 18:43:42.928685+02:00  2022-04-15 22:52:04.397693+02:00   \n",
-       "4076139  2021-03-28 18:03:28.229670+02:00  2022-04-15 22:52:04.397693+02:00   \n",
-       "4081572  2021-03-28 18:20:49.431860+02:00  2022-04-15 22:52:04.397693+02:00   \n",
-       "4094833  2021-03-28 18:09:20.571462+02:00  2022-04-15 22:52:04.397693+02:00   \n",
-       "4094827  2021-03-28 18:13:33.153720+02:00  2022-04-15 22:52:04.397693+02:00   \n",
-       "...                                   ...                               ...   \n",
-       "8961     2021-03-28 18:17:36.735495+02:00  2021-03-28 19:27:57.503961+02:00   \n",
-       "20380    2021-03-28 18:30:11.453742+02:00  2021-03-28 18:30:11.474019+02:00   \n",
-       "27298    2021-03-28 18:39:56.430679+02:00  2021-03-28 18:39:56.435656+02:00   \n",
-       "29107    2021-03-28 18:40:40.975334+02:00  2021-03-28 18:40:40.979852+02:00   \n",
-       "27962    2021-03-28 20:52:30.261271+02:00  2021-03-29 19:03:52.527753+02:00   \n",
-       "\n",
-       "                                   campaign_name  campaign_service_id  \\\n",
-       "4081002  Le Mucem chez vous, gardons le lien #22                  404   \n",
-       "4076139  Le Mucem chez vous, gardons le lien #22                  404   \n",
-       "4081572  Le Mucem chez vous, gardons le lien #22                  404   \n",
-       "4094833  Le Mucem chez vous, gardons le lien #22                  404   \n",
-       "4094827  Le Mucem chez vous, gardons le lien #22                  404   \n",
-       "...                                          ...                  ...   \n",
-       "8961     Le Mucem chez vous, gardons le lien #22                  404   \n",
-       "20380    Le Mucem chez vous, gardons le lien #22                  404   \n",
-       "27298    Le Mucem chez vous, gardons le lien #22                  404   \n",
-       "29107    Le Mucem chez vous, gardons le lien #22                  404   \n",
-       "27962    Le Mucem chez vous, gardons le lien #22                  404   \n",
-       "\n",
-       "                      campaign_created_at               campaign_updated_at  \\\n",
-       "4081002  2021-03-28 18:01:45.448313+02:00  2021-09-24 11:56:07.723413+02:00   \n",
-       "4076139  2021-03-28 18:01:45.448313+02:00  2021-09-24 11:56:07.723413+02:00   \n",
-       "4081572  2021-03-28 18:01:45.448313+02:00  2021-09-24 11:56:07.723413+02:00   \n",
-       "4094833  2021-03-28 18:01:45.448313+02:00  2021-09-24 11:56:07.723413+02:00   \n",
-       "4094827  2021-03-28 18:01:45.448313+02:00  2021-09-24 11:56:07.723413+02:00   \n",
-       "...                                   ...                               ...   \n",
-       "8961     2021-03-28 18:01:45.448313+02:00  2021-09-24 11:56:07.723413+02:00   \n",
-       "20380    2021-03-28 18:01:45.448313+02:00  2021-09-24 11:56:07.723413+02:00   \n",
-       "27298    2021-03-28 18:01:45.448313+02:00  2021-09-24 11:56:07.723413+02:00   \n",
-       "29107    2021-03-28 18:01:45.448313+02:00  2021-09-24 11:56:07.723413+02:00   \n",
-       "27962    2021-03-28 18:01:45.448313+02:00  2021-09-24 11:56:07.723413+02:00   \n",
-       "\n",
-       "                  campaign_sent_at               campaign_identifier  \n",
-       "4081002  2021-03-28 00:00:00+01:00  4f4adcbf8c6f66dcfc8a3282ac2bf10a  \n",
-       "4076139  2021-03-28 00:00:00+01:00  4f4adcbf8c6f66dcfc8a3282ac2bf10a  \n",
-       "4081572  2021-03-28 00:00:00+01:00  4f4adcbf8c6f66dcfc8a3282ac2bf10a  \n",
-       "4094833  2021-03-28 00:00:00+01:00  4f4adcbf8c6f66dcfc8a3282ac2bf10a  \n",
-       "4094827  2021-03-28 00:00:00+01:00  4f4adcbf8c6f66dcfc8a3282ac2bf10a  \n",
-       "...                            ...                               ...  \n",
-       "8961     2021-03-28 00:00:00+01:00  4f4adcbf8c6f66dcfc8a3282ac2bf10a  \n",
-       "20380    2021-03-28 00:00:00+01:00  4f4adcbf8c6f66dcfc8a3282ac2bf10a  \n",
-       "27298    2021-03-28 00:00:00+01:00  4f4adcbf8c6f66dcfc8a3282ac2bf10a  \n",
-       "29107    2021-03-28 00:00:00+01:00  4f4adcbf8c6f66dcfc8a3282ac2bf10a  \n",
-       "27962    2021-03-28 00:00:00+01:00  4f4adcbf8c6f66dcfc8a3282ac2bf10a  \n",
-       "\n",
-       "[26464 rows x 14 columns]"
-      ]
-     },
-     "execution_count": 356,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# tests\n",
-    "\n",
-    "df1_campaigns_full[df1_campaigns_full[\"campaign_id\"]==58].sort_values(\"sent_at\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 364,
-   "id": "0c07c533-0e24-4e53-96d5-c51db97425a6",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
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-       "      <td>2021-06-17 19:24:37.325550+02:00</td>\n",
-       "      <td>2022-04-15 23:11:44.290919+02:00</td>\n",
-       "      <td>com_ddcp_campagne_de_qualification_contacts__n...</td>\n",
-       "      <td>474</td>\n",
-       "      <td>2021-06-17 00:02:11.388346+02:00</td>\n",
-       "      <td>2021-09-24 11:56:08.931051+02:00</td>\n",
-       "      <td>2021-06-17 00:00:00+02:00</td>\n",
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-       "      <td>2021-06-17 00:02:11.388346+02:00</td>\n",
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-       "      <td>630525</td>\n",
-       "      <td>112554</td>\n",
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-       "      <td>2021-06-17 14:00:35+02:00</td>\n",
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-       "      <td>2021-06-17 14:00:39.523170+02:00</td>\n",
-       "      <td>2021-06-17 14:00:39.551198+02:00</td>\n",
-       "      <td>com_ddcp_campagne_de_qualification_contacts__n...</td>\n",
-       "      <td>474</td>\n",
-       "      <td>2021-06-17 00:02:11.388346+02:00</td>\n",
-       "      <td>2021-09-24 11:56:08.931051+02:00</td>\n",
-       "      <td>2021-06-17 00:00:00+02:00</td>\n",
-       "      <td>25ddc0f8c9d3e22e03d3076f98d83cb2</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>604901</th>\n",
-       "      <td>569106</td>\n",
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-       "      <td>2021-06-17 16:36:55+02:00</td>\n",
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-       "      <td>2021-06-17 16:36:55.928814+02:00</td>\n",
-       "      <td>2021-06-17 16:36:55.933170+02:00</td>\n",
-       "      <td>com_ddcp_campagne_de_qualification_contacts__n...</td>\n",
-       "      <td>474</td>\n",
-       "      <td>2021-06-17 00:02:11.388346+02:00</td>\n",
-       "      <td>2021-09-24 11:56:08.931051+02:00</td>\n",
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-       "    </tr>\n",
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-       "      <td>2021-06-17 18:25:20+02:00</td>\n",
-       "      <td>2021-06-17 19:13:02.489176+02:00</td>\n",
-       "      <td>2021-06-17 19:13:02.520644+02:00</td>\n",
-       "      <td>com_ddcp_campagne_de_qualification_contacts__n...</td>\n",
-       "      <td>474</td>\n",
-       "      <td>2021-06-17 00:02:11.388346+02:00</td>\n",
-       "      <td>2021-09-24 11:56:08.931051+02:00</td>\n",
-       "      <td>2021-06-17 00:00:00+02:00</td>\n",
-       "      <td>25ddc0f8c9d3e22e03d3076f98d83cb2</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>477252</th>\n",
-       "      <td>572282</td>\n",
-       "      <td>630525</td>\n",
-       "      <td>33826</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>2021-06-17 18:25:21+02:00</td>\n",
-       "      <td>2021-06-17 18:25:26+02:00</td>\n",
-       "      <td>2021-06-17 19:13:01.993836+02:00</td>\n",
-       "      <td>2021-06-17 19:13:02.006886+02:00</td>\n",
-       "      <td>com_ddcp_campagne_de_qualification_contacts__n...</td>\n",
-       "      <td>474</td>\n",
-       "      <td>2021-06-17 00:02:11.388346+02:00</td>\n",
-       "      <td>2021-09-24 11:56:08.931051+02:00</td>\n",
-       "      <td>2021-06-17 00:00:00+02:00</td>\n",
-       "      <td>25ddc0f8c9d3e22e03d3076f98d83cb2</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>532445</th>\n",
-       "      <td>576271</td>\n",
-       "      <td>630525</td>\n",
-       "      <td>119496</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>2021-06-17 20:46:39+02:00</td>\n",
-       "      <td>2021-06-17 20:46:40+02:00</td>\n",
-       "      <td>2021-06-17 20:46:40.441720+02:00</td>\n",
-       "      <td>2021-06-17 20:46:40.449126+02:00</td>\n",
-       "      <td>com_ddcp_campagne_de_qualification_contacts__n...</td>\n",
-       "      <td>474</td>\n",
-       "      <td>2021-06-17 00:02:11.388346+02:00</td>\n",
-       "      <td>2021-09-24 11:56:08.931051+02:00</td>\n",
-       "      <td>2021-06-17 00:00:00+02:00</td>\n",
-       "      <td>25ddc0f8c9d3e22e03d3076f98d83cb2</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>15829 rows × 14 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "            id  campaign_id  customer_id                  opened_at  \\\n",
-       "1681    571478       630525       291045  2021-06-18 14:23:57+02:00   \n",
-       "868     571425       630525       272258                        NaN   \n",
-       "488660  574486       630525       284414                        NaN   \n",
-       "453503  553818       630525       280714                        NaN   \n",
-       "600459  556431       630525       289484                        NaN   \n",
-       "...        ...          ...          ...                        ...   \n",
-       "514091  566709       630525       112554                        NaN   \n",
-       "604901  569106       630525        33100                        NaN   \n",
-       "478955  572372       630525       119502                        NaN   \n",
-       "477252  572282       630525        33826                        NaN   \n",
-       "532445  576271       630525       119496                        NaN   \n",
-       "\n",
-       "                          sent_at               delivered_at  \\\n",
-       "1681    2021-06-17 00:01:05+02:00  2021-06-17 18:15:02+02:00   \n",
-       "868     2021-06-17 00:01:05+02:00  2021-06-17 18:14:37+02:00   \n",
-       "488660  2021-06-17 00:01:05+02:00  2021-06-17 19:18:30+02:00   \n",
-       "453503  2021-06-17 00:01:05+02:00  2021-06-17 07:18:06+02:00   \n",
-       "600459  2021-06-17 00:01:05+02:00  2021-06-17 10:18:57+02:00   \n",
-       "...                           ...                        ...   \n",
-       "514091  2021-06-17 14:00:35+02:00  2021-06-17 14:00:39+02:00   \n",
-       "604901  2021-06-17 16:36:55+02:00  2021-06-17 16:36:55+02:00   \n",
-       "478955  2021-06-17 18:25:17+02:00  2021-06-17 18:25:20+02:00   \n",
-       "477252  2021-06-17 18:25:21+02:00  2021-06-17 18:25:26+02:00   \n",
-       "532445  2021-06-17 20:46:39+02:00  2021-06-17 20:46:40+02:00   \n",
-       "\n",
-       "                              created_at                        updated_at  \\\n",
-       "1681    2021-06-17 19:11:05.780774+02:00  2022-04-15 23:11:44.290919+02:00   \n",
-       "868     2021-06-17 19:10:59.410221+02:00  2022-04-15 23:11:44.290919+02:00   \n",
-       "488660  2021-06-17 19:24:37.325550+02:00  2022-04-15 23:11:44.290919+02:00   \n",
-       "453503  2021-06-17 07:18:06.816543+02:00  2022-04-15 23:11:44.290919+02:00   \n",
-       "600459  2021-06-17 10:18:57.692035+02:00  2022-04-15 23:11:44.290919+02:00   \n",
-       "...                                  ...                               ...   \n",
-       "514091  2021-06-17 14:00:39.523170+02:00  2021-06-17 14:00:39.551198+02:00   \n",
-       "604901  2021-06-17 16:36:55.928814+02:00  2021-06-17 16:36:55.933170+02:00   \n",
-       "478955  2021-06-17 19:13:02.489176+02:00  2021-06-17 19:13:02.520644+02:00   \n",
-       "477252  2021-06-17 19:13:01.993836+02:00  2021-06-17 19:13:02.006886+02:00   \n",
-       "532445  2021-06-17 20:46:40.441720+02:00  2021-06-17 20:46:40.449126+02:00   \n",
-       "\n",
-       "                                            campaign_name  \\\n",
-       "1681    com_ddcp_campagne_de_qualification_contacts__n...   \n",
-       "868     com_ddcp_campagne_de_qualification_contacts__n...   \n",
-       "488660  com_ddcp_campagne_de_qualification_contacts__n...   \n",
-       "453503  com_ddcp_campagne_de_qualification_contacts__n...   \n",
-       "600459  com_ddcp_campagne_de_qualification_contacts__n...   \n",
-       "...                                                   ...   \n",
-       "514091  com_ddcp_campagne_de_qualification_contacts__n...   \n",
-       "604901  com_ddcp_campagne_de_qualification_contacts__n...   \n",
-       "478955  com_ddcp_campagne_de_qualification_contacts__n...   \n",
-       "477252  com_ddcp_campagne_de_qualification_contacts__n...   \n",
-       "532445  com_ddcp_campagne_de_qualification_contacts__n...   \n",
-       "\n",
-       "        campaign_service_id               campaign_created_at  \\\n",
-       "1681                    474  2021-06-17 00:02:11.388346+02:00   \n",
-       "868                     474  2021-06-17 00:02:11.388346+02:00   \n",
-       "488660                  474  2021-06-17 00:02:11.388346+02:00   \n",
-       "453503                  474  2021-06-17 00:02:11.388346+02:00   \n",
-       "600459                  474  2021-06-17 00:02:11.388346+02:00   \n",
-       "...                     ...                               ...   \n",
-       "514091                  474  2021-06-17 00:02:11.388346+02:00   \n",
-       "604901                  474  2021-06-17 00:02:11.388346+02:00   \n",
-       "478955                  474  2021-06-17 00:02:11.388346+02:00   \n",
-       "477252                  474  2021-06-17 00:02:11.388346+02:00   \n",
-       "532445                  474  2021-06-17 00:02:11.388346+02:00   \n",
-       "\n",
-       "                     campaign_updated_at           campaign_sent_at  \\\n",
-       "1681    2021-09-24 11:56:08.931051+02:00  2021-06-17 00:00:00+02:00   \n",
-       "868     2021-09-24 11:56:08.931051+02:00  2021-06-17 00:00:00+02:00   \n",
-       "488660  2021-09-24 11:56:08.931051+02:00  2021-06-17 00:00:00+02:00   \n",
-       "453503  2021-09-24 11:56:08.931051+02:00  2021-06-17 00:00:00+02:00   \n",
-       "600459  2021-09-24 11:56:08.931051+02:00  2021-06-17 00:00:00+02:00   \n",
-       "...                                  ...                        ...   \n",
-       "514091  2021-09-24 11:56:08.931051+02:00  2021-06-17 00:00:00+02:00   \n",
-       "604901  2021-09-24 11:56:08.931051+02:00  2021-06-17 00:00:00+02:00   \n",
-       "478955  2021-09-24 11:56:08.931051+02:00  2021-06-17 00:00:00+02:00   \n",
-       "477252  2021-09-24 11:56:08.931051+02:00  2021-06-17 00:00:00+02:00   \n",
-       "532445  2021-09-24 11:56:08.931051+02:00  2021-06-17 00:00:00+02:00   \n",
-       "\n",
-       "                     campaign_identifier  \n",
-       "1681    25ddc0f8c9d3e22e03d3076f98d83cb2  \n",
-       "868     25ddc0f8c9d3e22e03d3076f98d83cb2  \n",
-       "488660  25ddc0f8c9d3e22e03d3076f98d83cb2  \n",
-       "453503  25ddc0f8c9d3e22e03d3076f98d83cb2  \n",
-       "600459  25ddc0f8c9d3e22e03d3076f98d83cb2  \n",
-       "...                                  ...  \n",
-       "514091  25ddc0f8c9d3e22e03d3076f98d83cb2  \n",
-       "604901  25ddc0f8c9d3e22e03d3076f98d83cb2  \n",
-       "478955  25ddc0f8c9d3e22e03d3076f98d83cb2  \n",
-       "477252  25ddc0f8c9d3e22e03d3076f98d83cb2  \n",
-       "532445  25ddc0f8c9d3e22e03d3076f98d83cb2  \n",
-       "\n",
-       "[15829 rows x 14 columns]"
-      ]
-     },
-     "execution_count": 364,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df1_campaigns_full[df1_campaigns_full[\"campaign_id\"]==630525].sort_values(\"sent_at\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "2ee0c057-876d-4534-9267-f7235957c8ce",
-   "metadata": {},
-   "source": [
-    "## Link stats"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 238,
-   "id": "c744b5bc-111a-40c0-8acf-bae1bedd7a97",
-   "metadata": {},
-   "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>id</th>\n",
-       "      <th>clicked_at</th>\n",
-       "      <th>link_id</th>\n",
-       "      <th>customer_id</th>\n",
-       "      <th>created_at</th>\n",
-       "      <th>updated_at</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>1</td>\n",
-       "      <td>2021-03-26 16:30:36+01:00</td>\n",
-       "      <td>1</td>\n",
-       "      <td>284033</td>\n",
-       "      <td>2021-03-26 15:30:37.050161+01:00</td>\n",
-       "      <td>2021-03-26 15:30:37.050161+01:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>2</td>\n",
-       "      <td>2021-03-26 17:16:34+01:00</td>\n",
-       "      <td>2</td>\n",
-       "      <td>119768</td>\n",
-       "      <td>2021-03-26 16:16:34.950871+01:00</td>\n",
-       "      <td>2021-03-26 16:16:34.950871+01:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>272</td>\n",
-       "      <td>2021-03-28 20:03:32+02:00</td>\n",
-       "      <td>42</td>\n",
-       "      <td>113105</td>\n",
-       "      <td>2021-03-28 18:03:32.736394+02:00</td>\n",
-       "      <td>2021-03-28 18:03:32.736394+02:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>4</td>\n",
-       "      <td>2021-03-26 17:43:19+01:00</td>\n",
-       "      <td>3</td>\n",
-       "      <td>272280</td>\n",
-       "      <td>2021-03-26 16:43:19.338321+01:00</td>\n",
-       "      <td>2021-03-26 16:43:19.338321+01:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>5</td>\n",
-       "      <td>2021-03-26 17:46:00+01:00</td>\n",
-       "      <td>3</td>\n",
-       "      <td>105095</td>\n",
-       "      <td>2021-03-26 16:46:00.502945+01:00</td>\n",
-       "      <td>2021-03-26 16:46:00.502945+01:00</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",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>151046</th>\n",
-       "      <td>243553</td>\n",
-       "      <td>2023-11-09 16:34:27+01:00</td>\n",
-       "      <td>14666</td>\n",
-       "      <td>998</td>\n",
-       "      <td>2023-11-09 15:34:29.425425+01:00</td>\n",
-       "      <td>2023-11-09 15:34:29.425425+01:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>151047</th>\n",
-       "      <td>243554</td>\n",
-       "      <td>2023-11-09 16:34:35+01:00</td>\n",
-       "      <td>14670</td>\n",
-       "      <td>998</td>\n",
-       "      <td>2023-11-09 15:34:37.505505+01:00</td>\n",
-       "      <td>2023-11-09 15:34:37.505505+01:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>151048</th>\n",
-       "      <td>243559</td>\n",
-       "      <td>2023-11-09 16:51:15+01:00</td>\n",
-       "      <td>14686</td>\n",
-       "      <td>82923</td>\n",
-       "      <td>2023-11-09 15:51:17.439518+01:00</td>\n",
-       "      <td>2023-11-09 15:51:17.439518+01:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>151049</th>\n",
-       "      <td>243561</td>\n",
-       "      <td>2023-11-09 16:59:42+01:00</td>\n",
-       "      <td>14677</td>\n",
-       "      <td>82923</td>\n",
-       "      <td>2023-11-09 15:59:44.030922+01:00</td>\n",
-       "      <td>2023-11-09 15:59:44.030922+01:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>151050</th>\n",
-       "      <td>243564</td>\n",
-       "      <td>2023-11-09 17:16:41+01:00</td>\n",
-       "      <td>14691</td>\n",
-       "      <td>1254355</td>\n",
-       "      <td>2023-11-09 16:16:43.012932+01:00</td>\n",
-       "      <td>2023-11-09 16:16:43.012932+01:00</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>151051 rows × 6 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "            id                 clicked_at  link_id  customer_id  \\\n",
-       "0            1  2021-03-26 16:30:36+01:00        1       284033   \n",
-       "1            2  2021-03-26 17:16:34+01:00        2       119768   \n",
-       "2          272  2021-03-28 20:03:32+02:00       42       113105   \n",
-       "3            4  2021-03-26 17:43:19+01:00        3       272280   \n",
-       "4            5  2021-03-26 17:46:00+01:00        3       105095   \n",
-       "...        ...                        ...      ...          ...   \n",
-       "151046  243553  2023-11-09 16:34:27+01:00    14666          998   \n",
-       "151047  243554  2023-11-09 16:34:35+01:00    14670          998   \n",
-       "151048  243559  2023-11-09 16:51:15+01:00    14686        82923   \n",
-       "151049  243561  2023-11-09 16:59:42+01:00    14677        82923   \n",
-       "151050  243564  2023-11-09 17:16:41+01:00    14691      1254355   \n",
-       "\n",
-       "                              created_at                        updated_at  \n",
-       "0       2021-03-26 15:30:37.050161+01:00  2021-03-26 15:30:37.050161+01:00  \n",
-       "1       2021-03-26 16:16:34.950871+01:00  2021-03-26 16:16:34.950871+01:00  \n",
-       "2       2021-03-28 18:03:32.736394+02:00  2021-03-28 18:03:32.736394+02:00  \n",
-       "3       2021-03-26 16:43:19.338321+01:00  2021-03-26 16:43:19.338321+01:00  \n",
-       "4       2021-03-26 16:46:00.502945+01:00  2021-03-26 16:46:00.502945+01:00  \n",
-       "...                                  ...                               ...  \n",
-       "151046  2023-11-09 15:34:29.425425+01:00  2023-11-09 15:34:29.425425+01:00  \n",
-       "151047  2023-11-09 15:34:37.505505+01:00  2023-11-09 15:34:37.505505+01:00  \n",
-       "151048  2023-11-09 15:51:17.439518+01:00  2023-11-09 15:51:17.439518+01:00  \n",
-       "151049  2023-11-09 15:59:44.030922+01:00  2023-11-09 15:59:44.030922+01:00  \n",
-       "151050  2023-11-09 16:16:43.012932+01:00  2023-11-09 16:16:43.012932+01:00  \n",
-       "\n",
-       "[151051 rows x 6 columns]"
-      ]
-     },
-     "execution_count": 238,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df1_link_stats"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 365,
-   "id": "e4e4b17c-3338-4b43-8d96-5af3cb304ff9",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "id             0.0\n",
-       "clicked_at     0.0\n",
-       "link_id        0.0\n",
-       "customer_id    0.0\n",
-       "created_at     0.0\n",
-       "updated_at     0.0\n",
-       "dtype: float64"
-      ]
-     },
-     "execution_count": 365,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# share of Nan for every variable\n",
-    "\n",
-    "df1_link_stats.isna().sum() / df1_link_stats.shape[0]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 366,
-   "id": "846f24d8-8a34-4774-aab7-957a71f73a2c",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "id              int64\n",
-       "clicked_at     object\n",
-       "link_id         int64\n",
-       "customer_id     int64\n",
-       "created_at     object\n",
-       "updated_at     object\n",
-       "dtype: object"
-      ]
-     },
-     "execution_count": 366,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# types of the variables \n",
-    "\n",
-    "df1_link_stats.dtypes"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 367,
-   "id": "6ee886ee-9ddf-4a78-aee8-002e57d63183",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "id             151051\n",
-       "clicked_at     137121\n",
-       "link_id         10788\n",
-       "customer_id     26075\n",
-       "created_at      96565\n",
-       "updated_at      96565\n",
-       "dtype: int64"
-      ]
-     },
-     "execution_count": 367,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# number of unique modalities\n",
-    "\n",
-    "df1_link_stats.nunique()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 378,
-   "id": "79d02627-2c31-4843-a3da-4f5419b6fe9d",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "10788"
-      ]
-     },
-     "execution_count": 378,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "len(sorted(df1_link_stats[\"link_id\"].unique()))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 379,
-   "id": "7651374c-3e69-4012-badf-c3d1bc6a477a",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "949"
-      ]
-     },
-     "execution_count": 379,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "len(sorted(df1_campaigns_full[\"campaign_id\"].unique()))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 380,
-   "id": "c3a11b25-65bc-44b6-b49c-6192f04b1d36",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
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-       "      <th></th>\n",
-       "      <th>id</th>\n",
-       "      <th>campaign_id</th>\n",
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-       "      <th>opened_at</th>\n",
-       "      <th>sent_at</th>\n",
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-       "      <th>0</th>\n",
-       "      <td>19793</td>\n",
-       "      <td>58</td>\n",
-       "      <td>112597</td>\n",
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-       "      <td>2021-03-28 18:01:09+02:00</td>\n",
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-       "      <td>2021-03-28 18:34:20.616136+02:00</td>\n",
-       "      <td>2022-04-15 22:52:04.397693+02:00</td>\n",
-       "      <td>Le Mucem chez vous, gardons le lien #22</td>\n",
-       "      <td>404</td>\n",
-       "      <td>2021-03-28 18:01:45.448313+02:00</td>\n",
-       "      <td>2021-09-24 11:56:07.723413+02:00</td>\n",
-       "      <td>2021-03-28 00:00:00+01:00</td>\n",
-       "      <td>4f4adcbf8c6f66dcfc8a3282ac2bf10a</td>\n",
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-       "      <td>14211</td>\n",
-       "      <td>58</td>\n",
-       "      <td>113666</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>2021-03-28 18:01:09+02:00</td>\n",
-       "      <td>2021-03-28 18:21:02+02:00</td>\n",
-       "      <td>2021-03-28 18:21:04.297213+02:00</td>\n",
-       "      <td>2022-04-15 22:52:04.397693+02:00</td>\n",
-       "      <td>Le Mucem chez vous, gardons le lien #22</td>\n",
-       "      <td>404</td>\n",
-       "      <td>2021-03-28 18:01:45.448313+02:00</td>\n",
-       "      <td>2021-09-24 11:56:07.723413+02:00</td>\n",
-       "      <td>2021-03-28 00:00:00+01:00</td>\n",
-       "      <td>4f4adcbf8c6f66dcfc8a3282ac2bf10a</td>\n",
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-       "      <td>13150</td>\n",
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-       "      <td>280561</td>\n",
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-       "      <td>2021-03-28 18:18:49.991042+02:00</td>\n",
-       "      <td>2022-04-15 22:52:04.397693+02:00</td>\n",
-       "      <td>Le Mucem chez vous, gardons le lien #22</td>\n",
-       "      <td>404</td>\n",
-       "      <td>2021-03-28 18:01:45.448313+02:00</td>\n",
-       "      <td>2021-09-24 11:56:07.723413+02:00</td>\n",
-       "      <td>2021-03-28 00:00:00+01:00</td>\n",
-       "      <td>4f4adcbf8c6f66dcfc8a3282ac2bf10a</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>7073</td>\n",
-       "      <td>58</td>\n",
-       "      <td>101007</td>\n",
-       "      <td>2021-03-28 20:11:06+02:00</td>\n",
-       "      <td>2021-03-28 18:00:59+02:00</td>\n",
-       "      <td>2021-03-28 18:09:47+02:00</td>\n",
-       "      <td>2021-03-28 18:09:50.915354+02:00</td>\n",
-       "      <td>2022-04-15 22:52:04.397693+02:00</td>\n",
-       "      <td>Le Mucem chez vous, gardons le lien #22</td>\n",
-       "      <td>404</td>\n",
-       "      <td>2021-03-28 18:01:45.448313+02:00</td>\n",
-       "      <td>2021-09-24 11:56:07.723413+02:00</td>\n",
-       "      <td>2021-03-28 00:00:00+01:00</td>\n",
-       "      <td>4f4adcbf8c6f66dcfc8a3282ac2bf10a</td>\n",
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-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>5175</td>\n",
-       "      <td>58</td>\n",
-       "      <td>103972</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>2021-03-28 18:01:06+02:00</td>\n",
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-       "      <td>2021-03-28 18:05:08.507398+02:00</td>\n",
-       "      <td>2022-04-15 22:52:04.397693+02:00</td>\n",
-       "      <td>Le Mucem chez vous, gardons le lien #22</td>\n",
-       "      <td>404</td>\n",
-       "      <td>2021-03-28 18:01:45.448313+02:00</td>\n",
-       "      <td>2021-09-24 11:56:07.723413+02:00</td>\n",
-       "      <td>2021-03-28 00:00:00+01:00</td>\n",
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-       "      <td>...</td>\n",
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-       "    <tr>\n",
-       "      <th>6214803</th>\n",
-       "      <td>8302994</td>\n",
-       "      <td>1321483</td>\n",
-       "      <td>266155</td>\n",
-       "      <td>2023-10-23 11:43:25+02:00</td>\n",
-       "      <td>2023-10-23 11:32:33+02:00</td>\n",
-       "      <td>2023-10-23 11:32:34+02:00</td>\n",
-       "      <td>2023-10-23 09:32:36.564696+02:00</td>\n",
-       "      <td>2023-10-23 09:43:28.038259+02:00</td>\n",
-       "      <td>dre_nov_2023</td>\n",
-       "      <td>1318</td>\n",
-       "      <td>2023-10-23 09:31:19.927528+02:00</td>\n",
-       "      <td>2023-10-23 09:31:20.033243+02:00</td>\n",
-       "      <td>2023-10-23 11:31:17+02:00</td>\n",
-       "      <td>76cf99d3614e23eabab16fb27e944bf9</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6214804</th>\n",
-       "      <td>8303307</td>\n",
-       "      <td>1321483</td>\n",
-       "      <td>21355</td>\n",
-       "      <td>2023-10-23 11:44:02+02:00</td>\n",
-       "      <td>2023-10-23 11:32:49+02:00</td>\n",
-       "      <td>2023-10-23 11:32:49+02:00</td>\n",
-       "      <td>2023-10-23 09:32:50.829641+02:00</td>\n",
-       "      <td>2023-10-23 09:44:04.119578+02:00</td>\n",
-       "      <td>dre_nov_2023</td>\n",
-       "      <td>1318</td>\n",
-       "      <td>2023-10-23 09:31:19.927528+02:00</td>\n",
-       "      <td>2023-10-23 09:31:20.033243+02:00</td>\n",
-       "      <td>2023-10-23 11:31:17+02:00</td>\n",
-       "      <td>76cf99d3614e23eabab16fb27e944bf9</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6214805</th>\n",
-       "      <td>8304346</td>\n",
-       "      <td>1321483</td>\n",
-       "      <td>21849</td>\n",
-       "      <td>2023-10-23 11:45:52+02:00</td>\n",
-       "      <td>2023-10-23 11:33:28+02:00</td>\n",
-       "      <td>2023-10-23 11:33:29+02:00</td>\n",
-       "      <td>2023-10-23 09:33:31.102500+02:00</td>\n",
-       "      <td>2023-10-23 09:45:55.927652+02:00</td>\n",
-       "      <td>dre_nov_2023</td>\n",
-       "      <td>1318</td>\n",
-       "      <td>2023-10-23 09:31:19.927528+02:00</td>\n",
-       "      <td>2023-10-23 09:31:20.033243+02:00</td>\n",
-       "      <td>2023-10-23 11:31:17+02:00</td>\n",
-       "      <td>76cf99d3614e23eabab16fb27e944bf9</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6214806</th>\n",
-       "      <td>8302037</td>\n",
-       "      <td>1321483</td>\n",
-       "      <td>667789</td>\n",
-       "      <td>2023-10-23 11:47:32+02:00</td>\n",
-       "      <td>2023-10-23 11:31:53+02:00</td>\n",
-       "      <td>2023-10-23 11:31:54+02:00</td>\n",
-       "      <td>2023-10-23 09:31:55.768547+02:00</td>\n",
-       "      <td>2023-10-23 09:47:33.915460+02:00</td>\n",
-       "      <td>dre_nov_2023</td>\n",
-       "      <td>1318</td>\n",
-       "      <td>2023-10-23 09:31:19.927528+02:00</td>\n",
-       "      <td>2023-10-23 09:31:20.033243+02:00</td>\n",
-       "      <td>2023-10-23 11:31:17+02:00</td>\n",
-       "      <td>76cf99d3614e23eabab16fb27e944bf9</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6214807</th>\n",
-       "      <td>8304939</td>\n",
-       "      <td>1321483</td>\n",
-       "      <td>294154</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>2023-10-23 11:33:54+02:00</td>\n",
-       "      <td>2023-10-23 11:33:55+02:00</td>\n",
-       "      <td>2023-10-23 09:33:57.477892+02:00</td>\n",
-       "      <td>2023-10-23 09:33:57.842331+02:00</td>\n",
-       "      <td>dre_nov_2023</td>\n",
-       "      <td>1318</td>\n",
-       "      <td>2023-10-23 09:31:19.927528+02:00</td>\n",
-       "      <td>2023-10-23 09:31:20.033243+02:00</td>\n",
-       "      <td>2023-10-23 11:31:17+02:00</td>\n",
-       "      <td>76cf99d3614e23eabab16fb27e944bf9</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>6214808 rows × 14 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "              id  campaign_id  customer_id                  opened_at  \\\n",
-       "0          19793           58       112597                        NaN   \n",
-       "1          14211           58       113666                        NaN   \n",
-       "2          13150           58       280561                        NaN   \n",
-       "3           7073           58       101007  2021-03-28 20:11:06+02:00   \n",
-       "4           5175           58       103972                        NaN   \n",
-       "...          ...          ...          ...                        ...   \n",
-       "6214803  8302994      1321483       266155  2023-10-23 11:43:25+02:00   \n",
-       "6214804  8303307      1321483        21355  2023-10-23 11:44:02+02:00   \n",
-       "6214805  8304346      1321483        21849  2023-10-23 11:45:52+02:00   \n",
-       "6214806  8302037      1321483       667789  2023-10-23 11:47:32+02:00   \n",
-       "6214807  8304939      1321483       294154                        NaN   \n",
-       "\n",
-       "                           sent_at               delivered_at  \\\n",
-       "0        2021-03-28 18:01:09+02:00  2021-03-28 18:24:18+02:00   \n",
-       "1        2021-03-28 18:01:09+02:00  2021-03-28 18:21:02+02:00   \n",
-       "2        2021-03-28 18:00:59+02:00  2021-03-28 18:08:45+02:00   \n",
-       "3        2021-03-28 18:00:59+02:00  2021-03-28 18:09:47+02:00   \n",
-       "4        2021-03-28 18:01:06+02:00  2021-03-28 18:05:03+02:00   \n",
-       "...                            ...                        ...   \n",
-       "6214803  2023-10-23 11:32:33+02:00  2023-10-23 11:32:34+02:00   \n",
-       "6214804  2023-10-23 11:32:49+02:00  2023-10-23 11:32:49+02:00   \n",
-       "6214805  2023-10-23 11:33:28+02:00  2023-10-23 11:33:29+02:00   \n",
-       "6214806  2023-10-23 11:31:53+02:00  2023-10-23 11:31:54+02:00   \n",
-       "6214807  2023-10-23 11:33:54+02:00  2023-10-23 11:33:55+02:00   \n",
-       "\n",
-       "                               created_at                        updated_at  \\\n",
-       "0        2021-03-28 18:34:20.616136+02:00  2022-04-15 22:52:04.397693+02:00   \n",
-       "1        2021-03-28 18:21:04.297213+02:00  2022-04-15 22:52:04.397693+02:00   \n",
-       "2        2021-03-28 18:18:49.991042+02:00  2022-04-15 22:52:04.397693+02:00   \n",
-       "3        2021-03-28 18:09:50.915354+02:00  2022-04-15 22:52:04.397693+02:00   \n",
-       "4        2021-03-28 18:05:08.507398+02:00  2022-04-15 22:52:04.397693+02:00   \n",
-       "...                                   ...                               ...   \n",
-       "6214803  2023-10-23 09:32:36.564696+02:00  2023-10-23 09:43:28.038259+02:00   \n",
-       "6214804  2023-10-23 09:32:50.829641+02:00  2023-10-23 09:44:04.119578+02:00   \n",
-       "6214805  2023-10-23 09:33:31.102500+02:00  2023-10-23 09:45:55.927652+02:00   \n",
-       "6214806  2023-10-23 09:31:55.768547+02:00  2023-10-23 09:47:33.915460+02:00   \n",
-       "6214807  2023-10-23 09:33:57.477892+02:00  2023-10-23 09:33:57.842331+02:00   \n",
-       "\n",
-       "                                   campaign_name  campaign_service_id  \\\n",
-       "0        Le Mucem chez vous, gardons le lien #22                  404   \n",
-       "1        Le Mucem chez vous, gardons le lien #22                  404   \n",
-       "2        Le Mucem chez vous, gardons le lien #22                  404   \n",
-       "3        Le Mucem chez vous, gardons le lien #22                  404   \n",
-       "4        Le Mucem chez vous, gardons le lien #22                  404   \n",
-       "...                                          ...                  ...   \n",
-       "6214803                             dre_nov_2023                 1318   \n",
-       "6214804                             dre_nov_2023                 1318   \n",
-       "6214805                             dre_nov_2023                 1318   \n",
-       "6214806                             dre_nov_2023                 1318   \n",
-       "6214807                             dre_nov_2023                 1318   \n",
-       "\n",
-       "                      campaign_created_at               campaign_updated_at  \\\n",
-       "0        2021-03-28 18:01:45.448313+02:00  2021-09-24 11:56:07.723413+02:00   \n",
-       "1        2021-03-28 18:01:45.448313+02:00  2021-09-24 11:56:07.723413+02:00   \n",
-       "2        2021-03-28 18:01:45.448313+02:00  2021-09-24 11:56:07.723413+02:00   \n",
-       "3        2021-03-28 18:01:45.448313+02:00  2021-09-24 11:56:07.723413+02:00   \n",
-       "4        2021-03-28 18:01:45.448313+02:00  2021-09-24 11:56:07.723413+02:00   \n",
-       "...                                   ...                               ...   \n",
-       "6214803  2023-10-23 09:31:19.927528+02:00  2023-10-23 09:31:20.033243+02:00   \n",
-       "6214804  2023-10-23 09:31:19.927528+02:00  2023-10-23 09:31:20.033243+02:00   \n",
-       "6214805  2023-10-23 09:31:19.927528+02:00  2023-10-23 09:31:20.033243+02:00   \n",
-       "6214806  2023-10-23 09:31:19.927528+02:00  2023-10-23 09:31:20.033243+02:00   \n",
-       "6214807  2023-10-23 09:31:19.927528+02:00  2023-10-23 09:31:20.033243+02:00   \n",
-       "\n",
-       "                  campaign_sent_at               campaign_identifier  \n",
-       "0        2021-03-28 00:00:00+01:00  4f4adcbf8c6f66dcfc8a3282ac2bf10a  \n",
-       "1        2021-03-28 00:00:00+01:00  4f4adcbf8c6f66dcfc8a3282ac2bf10a  \n",
-       "2        2021-03-28 00:00:00+01:00  4f4adcbf8c6f66dcfc8a3282ac2bf10a  \n",
-       "3        2021-03-28 00:00:00+01:00  4f4adcbf8c6f66dcfc8a3282ac2bf10a  \n",
-       "4        2021-03-28 00:00:00+01:00  4f4adcbf8c6f66dcfc8a3282ac2bf10a  \n",
-       "...                            ...                               ...  \n",
-       "6214803  2023-10-23 11:31:17+02:00  76cf99d3614e23eabab16fb27e944bf9  \n",
-       "6214804  2023-10-23 11:31:17+02:00  76cf99d3614e23eabab16fb27e944bf9  \n",
-       "6214805  2023-10-23 11:31:17+02:00  76cf99d3614e23eabab16fb27e944bf9  \n",
-       "6214806  2023-10-23 11:31:17+02:00  76cf99d3614e23eabab16fb27e944bf9  \n",
-       "6214807  2023-10-23 11:31:17+02:00  76cf99d3614e23eabab16fb27e944bf9  \n",
-       "\n",
-       "[6214808 rows x 14 columns]"
-      ]
-     },
-     "execution_count": 380,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df1_campaigns_full"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "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": "3.10.13"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/TP_merge_tables_clean.ipynb b/TP_merge_tables_clean.ipynb
deleted file mode 100644
index 66b5228..0000000
--- a/TP_merge_tables_clean.ipynb
+++ /dev/null
@@ -1,1760 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "8c56d518-3634-4492-b249-0d8ef33dd527",
-   "metadata": {},
-   "source": [
-    "## First steps : package importations, set up working environment and import data"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "id": "dede42d9-1262-45f7-bd7a-586ae800092a",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# importations\n",
-    "\n",
-    "import os \n",
-    "import s3fs\n",
-    "import pandas as pd\n",
-    "import re\n",
-    "from datetime import datetime, timezone, timedelta\n",
-    "import math\n",
-    "import numpy as np"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "id": "6ce34b58-b5ba-4b54-ba4d-fc82ef01b09c",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "['bdc2324-data/1',\n",
-       " 'bdc2324-data/10',\n",
-       " 'bdc2324-data/101',\n",
-       " 'bdc2324-data/11',\n",
-       " 'bdc2324-data/12',\n",
-       " 'bdc2324-data/13',\n",
-       " 'bdc2324-data/14',\n",
-       " 'bdc2324-data/2',\n",
-       " 'bdc2324-data/3',\n",
-       " 'bdc2324-data/4',\n",
-       " 'bdc2324-data/5',\n",
-       " 'bdc2324-data/6',\n",
-       " 'bdc2324-data/7',\n",
-       " 'bdc2324-data/8',\n",
-       " 'bdc2324-data/9']"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# bucket for accessing the data\n",
-    "\n",
-    "S3_ENDPOINT_URL = \"https://\" + os.environ[\"AWS_S3_ENDPOINT\"]\n",
-    "\n",
-    "fs = s3fs.S3FileSystem(client_kwargs = {\"endpoint_url\" : S3_ENDPOINT_URL})\n",
-    "BUCKET = \"bdc2324-data\"\n",
-    "fs.ls(BUCKET)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "id": "8eb13dd3-53c7-4a70-94a4-846168473aa1",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "['bdc2324-data/1/1campaign_stats.csv',\n",
-       " 'bdc2324-data/1/1campaigns.csv',\n",
-       " 'bdc2324-data/1/1categories.csv',\n",
-       " 'bdc2324-data/1/1countries.csv',\n",
-       " 'bdc2324-data/1/1currencies.csv',\n",
-       " 'bdc2324-data/1/1customer_target_mappings.csv',\n",
-       " 'bdc2324-data/1/1customersplus.csv',\n",
-       " 'bdc2324-data/1/1event_types.csv',\n",
-       " 'bdc2324-data/1/1events.csv',\n",
-       " 'bdc2324-data/1/1facilities.csv',\n",
-       " 'bdc2324-data/1/1link_stats.csv',\n",
-       " 'bdc2324-data/1/1pricing_formulas.csv',\n",
-       " 'bdc2324-data/1/1product_packs.csv',\n",
-       " 'bdc2324-data/1/1products.csv',\n",
-       " 'bdc2324-data/1/1products_groups.csv',\n",
-       " 'bdc2324-data/1/1purchases.csv',\n",
-       " 'bdc2324-data/1/1representation_category_capacities.csv',\n",
-       " 'bdc2324-data/1/1representations.csv',\n",
-       " 'bdc2324-data/1/1seasons.csv',\n",
-       " 'bdc2324-data/1/1structure_tag_mappings.csv',\n",
-       " 'bdc2324-data/1/1suppliers.csv',\n",
-       " 'bdc2324-data/1/1tags.csv',\n",
-       " 'bdc2324-data/1/1target_types.csv',\n",
-       " 'bdc2324-data/1/1targets.csv',\n",
-       " 'bdc2324-data/1/1tickets.csv',\n",
-       " 'bdc2324-data/1/1type_of_categories.csv',\n",
-       " 'bdc2324-data/1/1type_of_pricing_formulas.csv',\n",
-       " 'bdc2324-data/1/1type_ofs.csv']"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "FILE_PATH_S3 = fs.ls(BUCKET)[0] # focus on the company number 1\n",
-    "files_path =  fs.ls(FILE_PATH_S3)\n",
-    "files_path"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "id": "1ea66c4e-1307-4f19-836e-3104fba2ff41",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "1\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/tmp/ipykernel_487/2894332003.py:10: DtypeWarning: Columns (1) have mixed types. Specify dtype option on import or set low_memory=False.\n",
-      "  df = pd.read_csv(file_in)\n"
-     ]
-    }
-   ],
-   "source": [
-    "# loop to create dataframes related to company 1\n",
-    "\n",
-    "client_number = files_path[0].split(\"/\")[1]\n",
-    "print(client_number)\n",
-    "df_prefix = \"df\" + str(client_number) + \"_\"\n",
-    "\n",
-    "for i in range(len(files_path)) :\n",
-    "    current_path = files_path[i]\n",
-    "    with fs.open(current_path, mode=\"rb\") as file_in:\n",
-    "        df = pd.read_csv(file_in)\n",
-    "        # the pattern of the name is df1xxx\n",
-    "        nom_dataframe = df_prefix + re.search(r'\\/(\\d+)\\/(\\d+)([a-zA-Z_]+)\\.csv$', current_path).group(3)\n",
-    "        globals()[nom_dataframe] = df"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "13d70b2c-6580-4caf-b839-10f72b2e0b39",
-   "metadata": {},
-   "source": [
-    "## Target, target types and customer target mapping"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "id": "4dbc7fea-ac3b-4348-83fb-dfb1a460f936",
-   "metadata": {},
-   "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>id</th>\n",
-       "      <th>is_import</th>\n",
-       "      <th>name</th>\n",
-       "      <th>created_at</th>\n",
-       "      <th>updated_at</th>\n",
-       "      <th>identifier</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>69</td>\n",
-       "      <td>False</td>\n",
-       "      <td>manual_dynamic_filter</td>\n",
-       "      <td>2020-11-30 09:46:18.881030+01:00</td>\n",
-       "      <td>2020-11-30 09:46:18.881030+01:00</td>\n",
-       "      <td>e0f4b8693184850fefd6d2a38f10584e</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>48</td>\n",
-       "      <td>True</td>\n",
-       "      <td>manual_structure</td>\n",
-       "      <td>2020-11-04 17:16:19.548275+01:00</td>\n",
-       "      <td>2020-11-04 17:16:19.548275+01:00</td>\n",
-       "      <td>382bca214204a2d3462f5ec2728d5d1e</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>1</td>\n",
-       "      <td>True</td>\n",
-       "      <td>manual_import</td>\n",
-       "      <td>2020-10-14 18:37:40.521623+02:00</td>\n",
-       "      <td>2020-10-14 18:37:40.521623+02:00</td>\n",
-       "      <td>12213df2ce68a624e4c0070521437bac</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>56</td>\n",
-       "      <td>False</td>\n",
-       "      <td>manual_static_filter</td>\n",
-       "      <td>2020-11-04 18:08:37.233486+01:00</td>\n",
-       "      <td>2020-11-04 18:08:37.233486+01:00</td>\n",
-       "      <td>fb27e81baa4debc6a4e1a8639c20e808</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   id  is_import                   name                        created_at  \\\n",
-       "0  69      False  manual_dynamic_filter  2020-11-30 09:46:18.881030+01:00   \n",
-       "1  48       True       manual_structure  2020-11-04 17:16:19.548275+01:00   \n",
-       "2   1       True          manual_import  2020-10-14 18:37:40.521623+02:00   \n",
-       "3  56      False   manual_static_filter  2020-11-04 18:08:37.233486+01:00   \n",
-       "\n",
-       "                         updated_at                        identifier  \n",
-       "0  2020-11-30 09:46:18.881030+01:00  e0f4b8693184850fefd6d2a38f10584e  \n",
-       "1  2020-11-04 17:16:19.548275+01:00  382bca214204a2d3462f5ec2728d5d1e  \n",
-       "2  2020-10-14 18:37:40.521623+02:00  12213df2ce68a624e4c0070521437bac  \n",
-       "3  2020-11-04 18:08:37.233486+01:00  fb27e81baa4debc6a4e1a8639c20e808  "
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# 1. target types\n",
-    "df1_target_types.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "id": "0e9f5dcb-0dc3-4052-b866-e5c4cb954a1f",
-   "metadata": {},
-   "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>id</th>\n",
-       "      <th>target_type_id</th>\n",
-       "      <th>name</th>\n",
-       "      <th>created_at</th>\n",
-       "      <th>updated_at</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>217</td>\n",
-       "      <td>56</td>\n",
-       "      <td>DDCP PROMO Art contemporain - salle de chauffe...</td>\n",
-       "      <td>2021-01-04 15:00:05.401899+01:00</td>\n",
-       "      <td>2021-03-02 18:38:19.025969+01:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>701</td>\n",
-       "      <td>56</td>\n",
-       "      <td>consentement optin scolaires</td>\n",
-       "      <td>2021-12-21 16:03:59.840785+01:00</td>\n",
-       "      <td>2022-02-18 17:23:44.761388+01:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>134</td>\n",
-       "      <td>56</td>\n",
-       "      <td>DDCP Newsletter jeune public</td>\n",
-       "      <td>2020-11-10 09:43:19.667471+01:00</td>\n",
-       "      <td>2021-03-02 18:38:19.052304+01:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>700</td>\n",
-       "      <td>56</td>\n",
-       "      <td>consentement optout scolaires</td>\n",
-       "      <td>2021-12-21 16:01:57.524946+01:00</td>\n",
-       "      <td>2022-02-18 17:23:44.807776+01:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>964</td>\n",
-       "      <td>56</td>\n",
-       "      <td>DDCP achat billet nbr dep 19052021</td>\n",
-       "      <td>2022-04-14 10:58:17.142834+02:00</td>\n",
-       "      <td>2022-04-14 10:58:23.677264+02:00</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "    id  target_type_id                                               name  \\\n",
-       "0  217              56  DDCP PROMO Art contemporain - salle de chauffe...   \n",
-       "1  701              56                       consentement optin scolaires   \n",
-       "2  134              56                       DDCP Newsletter jeune public   \n",
-       "3  700              56                      consentement optout scolaires   \n",
-       "4  964              56                 DDCP achat billet nbr dep 19052021   \n",
-       "\n",
-       "                         created_at                        updated_at  \n",
-       "0  2021-01-04 15:00:05.401899+01:00  2021-03-02 18:38:19.025969+01:00  \n",
-       "1  2021-12-21 16:03:59.840785+01:00  2022-02-18 17:23:44.761388+01:00  \n",
-       "2  2020-11-10 09:43:19.667471+01:00  2021-03-02 18:38:19.052304+01:00  \n",
-       "3  2021-12-21 16:01:57.524946+01:00  2022-02-18 17:23:44.807776+01:00  \n",
-       "4  2022-04-14 10:58:17.142834+02:00  2022-04-14 10:58:23.677264+02:00  "
-      ]
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# 2. targets\n",
-    "df1_targets.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "id": "c5c62302-370a-462f-bd79-eac31593f65c",
-   "metadata": {},
-   "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>id</th>\n",
-       "      <th>customer_id</th>\n",
-       "      <th>target_id</th>\n",
-       "      <th>created_at</th>\n",
-       "      <th>updated_at</th>\n",
-       "      <th>name</th>\n",
-       "      <th>extra_field</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>1184824</td>\n",
-       "      <td>645400</td>\n",
-       "      <td>130</td>\n",
-       "      <td>2021-09-23 09:35:47.617275+02:00</td>\n",
-       "      <td>2021-09-23 09:35:47.617275+02:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>1184825</td>\n",
-       "      <td>645400</td>\n",
-       "      <td>345</td>\n",
-       "      <td>2021-09-23 09:35:47.668846+02:00</td>\n",
-       "      <td>2021-09-23 09:35:47.668846+02:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>1184828</td>\n",
-       "      <td>645402</td>\n",
-       "      <td>126</td>\n",
-       "      <td>2021-09-23 12:02:51.253269+02:00</td>\n",
-       "      <td>2021-09-23 12:02:51.253269+02:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>1184829</td>\n",
-       "      <td>645403</td>\n",
-       "      <td>126</td>\n",
-       "      <td>2021-09-23 12:20:47.394480+02:00</td>\n",
-       "      <td>2021-09-23 12:20:47.394480+02:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>1295770</td>\n",
-       "      <td>647301</td>\n",
-       "      <td>346</td>\n",
-       "      <td>2021-09-28 16:02:29.372608+02:00</td>\n",
-       "      <td>2021-09-28 16:02:29.372608+02:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "        id  customer_id  target_id                        created_at  \\\n",
-       "0  1184824       645400        130  2021-09-23 09:35:47.617275+02:00   \n",
-       "1  1184825       645400        345  2021-09-23 09:35:47.668846+02:00   \n",
-       "2  1184828       645402        126  2021-09-23 12:02:51.253269+02:00   \n",
-       "3  1184829       645403        126  2021-09-23 12:20:47.394480+02:00   \n",
-       "4  1295770       647301        346  2021-09-28 16:02:29.372608+02:00   \n",
-       "\n",
-       "                         updated_at  name  extra_field  \n",
-       "0  2021-09-23 09:35:47.617275+02:00   NaN          NaN  \n",
-       "1  2021-09-23 09:35:47.668846+02:00   NaN          NaN  \n",
-       "2  2021-09-23 12:02:51.253269+02:00   NaN          NaN  \n",
-       "3  2021-09-23 12:20:47.394480+02:00   NaN          NaN  \n",
-       "4  2021-09-28 16:02:29.372608+02:00   NaN          NaN  "
-      ]
-     },
-     "execution_count": 8,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# 3. customer target mapping\n",
-    "\n",
-    "df1_customer_target_mappings.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "id": "1a87cebf-c1dd-408d-a523-26633419da1e",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
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-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
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-       "\n",
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-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>id</th>\n",
-       "      <th>target_type_id</th>\n",
-       "      <th>name</th>\n",
-       "      <th>target_type_is_import</th>\n",
-       "      <th>target_type_name</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>217</td>\n",
-       "      <td>56</td>\n",
-       "      <td>DDCP PROMO Art contemporain - salle de chauffe...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>manual_static_filter</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>701</td>\n",
-       "      <td>56</td>\n",
-       "      <td>consentement optin scolaires</td>\n",
-       "      <td>False</td>\n",
-       "      <td>manual_static_filter</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>134</td>\n",
-       "      <td>56</td>\n",
-       "      <td>DDCP Newsletter jeune public</td>\n",
-       "      <td>False</td>\n",
-       "      <td>manual_static_filter</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>700</td>\n",
-       "      <td>56</td>\n",
-       "      <td>consentement optout scolaires</td>\n",
-       "      <td>False</td>\n",
-       "      <td>manual_static_filter</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>964</td>\n",
-       "      <td>56</td>\n",
-       "      <td>DDCP achat billet nbr dep 19052021</td>\n",
-       "      <td>False</td>\n",
-       "      <td>manual_static_filter</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "    id  target_type_id                                               name  \\\n",
-       "0  217              56  DDCP PROMO Art contemporain - salle de chauffe...   \n",
-       "1  701              56                       consentement optin scolaires   \n",
-       "2  134              56                       DDCP Newsletter jeune public   \n",
-       "3  700              56                      consentement optout scolaires   \n",
-       "4  964              56                 DDCP achat billet nbr dep 19052021   \n",
-       "\n",
-       "   target_type_is_import      target_type_name  \n",
-       "0                  False  manual_static_filter  \n",
-       "1                  False  manual_static_filter  \n",
-       "2                  False  manual_static_filter  \n",
-       "3                  False  manual_static_filter  \n",
-       "4                  False  manual_static_filter  "
-      ]
-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# 4.1. merge target with target type\n",
-    "\n",
-    "df1_targets_full = pd.merge(df1_targets[[\"id\", \"target_type_id\", \"name\"]], df1_target_types[[\"id\",\"is_import\",\"name\"]].add_prefix(\"target_type_\"), left_on='target_type_id', right_on='target_type_id', how='left')\n",
-    "df1_targets_full.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "id": "d48c1fff-73c2-4e75-8799-da2b80694be7",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 4.2. merge df1_customer_target_mappings with df1_targets_full\n",
-    "\n",
-    "# change the position of the column target type id\n",
-    "\n",
-    "# Spécifiez le nom de la colonne à déplacer et la colonne après laquelle vous souhaitez la placer\n",
-    "column_to_move = 'target_type_id'\n",
-    "\n",
-    "# Récupérez l'index de la colonne de référence\n",
-    "reference_index = df1_targets_full.columns.get_loc(\"target_type_name\")\n",
-    "\n",
-    "# Créez une copie de la colonne que vous voulez déplacer\n",
-    "column_copy = df1_targets_full[column_to_move].copy()\n",
-    "\n",
-    "# Supprimez la colonne d'origine\n",
-    "df1_targets_full = df1_targets_full.drop(column_to_move, axis=1)\n",
-    "\n",
-    "# Utilisez la méthode insert pour déplacer la colonne à la nouvelle position\n",
-    "df1_targets_full.insert(reference_index - 1, column_to_move, column_copy)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "id": "a874514a-c7dc-42d4-a440-dedd3a270e24",
-   "metadata": {},
-   "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>target_id</th>\n",
-       "      <th>target_name</th>\n",
-       "      <th>target_type_is_import</th>\n",
-       "      <th>target_type_id</th>\n",
-       "      <th>target_type_name</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>217</td>\n",
-       "      <td>DDCP PROMO Art contemporain - salle de chauffe...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>56</td>\n",
-       "      <td>manual_static_filter</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>701</td>\n",
-       "      <td>consentement optin scolaires</td>\n",
-       "      <td>False</td>\n",
-       "      <td>56</td>\n",
-       "      <td>manual_static_filter</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>134</td>\n",
-       "      <td>DDCP Newsletter jeune public</td>\n",
-       "      <td>False</td>\n",
-       "      <td>56</td>\n",
-       "      <td>manual_static_filter</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>700</td>\n",
-       "      <td>consentement optout scolaires</td>\n",
-       "      <td>False</td>\n",
-       "      <td>56</td>\n",
-       "      <td>manual_static_filter</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>964</td>\n",
-       "      <td>DDCP achat billet nbr dep 19052021</td>\n",
-       "      <td>False</td>\n",
-       "      <td>56</td>\n",
-       "      <td>manual_static_filter</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   target_id                                        target_name  \\\n",
-       "0        217  DDCP PROMO Art contemporain - salle de chauffe...   \n",
-       "1        701                       consentement optin scolaires   \n",
-       "2        134                       DDCP Newsletter jeune public   \n",
-       "3        700                      consentement optout scolaires   \n",
-       "4        964                 DDCP achat billet nbr dep 19052021   \n",
-       "\n",
-       "   target_type_is_import  target_type_id      target_type_name  \n",
-       "0                  False              56  manual_static_filter  \n",
-       "1                  False              56  manual_static_filter  \n",
-       "2                  False              56  manual_static_filter  \n",
-       "3                  False              56  manual_static_filter  \n",
-       "4                  False              56  manual_static_filter  "
-      ]
-     },
-     "execution_count": 12,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df1_targets_full = df1_targets_full.rename(columns=lambda x: 'target_' + x if not x.startswith('target_') else x)\n",
-    "df1_targets_full.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "id": "0db0172a-5119-4b7f-97f8-36fc5c985205",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
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-       "\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>id</th>\n",
-       "      <th>customer_id</th>\n",
-       "      <th>target_id</th>\n",
-       "      <th>target_name</th>\n",
-       "      <th>target_type_is_import</th>\n",
-       "      <th>target_type_id</th>\n",
-       "      <th>target_type_name</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>1184824</td>\n",
-       "      <td>645400</td>\n",
-       "      <td>130</td>\n",
-       "      <td>DDCP PROMO Réseau livres</td>\n",
-       "      <td>False</td>\n",
-       "      <td>56</td>\n",
-       "      <td>manual_static_filter</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>1184825</td>\n",
-       "      <td>645400</td>\n",
-       "      <td>345</td>\n",
-       "      <td>Inscrits NL générale site web</td>\n",
-       "      <td>False</td>\n",
-       "      <td>56</td>\n",
-       "      <td>manual_static_filter</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>1184828</td>\n",
-       "      <td>645402</td>\n",
-       "      <td>126</td>\n",
-       "      <td>DDCP PROMO Art contemporain</td>\n",
-       "      <td>False</td>\n",
-       "      <td>56</td>\n",
-       "      <td>manual_static_filter</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>1184829</td>\n",
-       "      <td>645403</td>\n",
-       "      <td>126</td>\n",
-       "      <td>DDCP PROMO Art contemporain</td>\n",
-       "      <td>False</td>\n",
-       "      <td>56</td>\n",
-       "      <td>manual_static_filter</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>1295770</td>\n",
-       "      <td>647301</td>\n",
-       "      <td>346</td>\n",
-       "      <td>Votre première liste</td>\n",
-       "      <td>False</td>\n",
-       "      <td>56</td>\n",
-       "      <td>manual_static_filter</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",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>768019</th>\n",
-       "      <td>2737545</td>\n",
-       "      <td>666983</td>\n",
-       "      <td>345</td>\n",
-       "      <td>Inscrits NL générale site web</td>\n",
-       "      <td>False</td>\n",
-       "      <td>56</td>\n",
-       "      <td>manual_static_filter</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>768020</th>\n",
-       "      <td>2737546</td>\n",
-       "      <td>666983</td>\n",
-       "      <td>346</td>\n",
-       "      <td>Votre première liste</td>\n",
-       "      <td>False</td>\n",
-       "      <td>56</td>\n",
-       "      <td>manual_static_filter</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>768021</th>\n",
-       "      <td>2737575</td>\n",
-       "      <td>666986</td>\n",
-       "      <td>346</td>\n",
-       "      <td>Votre première liste</td>\n",
-       "      <td>False</td>\n",
-       "      <td>56</td>\n",
-       "      <td>manual_static_filter</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>768022</th>\n",
-       "      <td>2737576</td>\n",
-       "      <td>666987</td>\n",
-       "      <td>345</td>\n",
-       "      <td>Inscrits NL générale site web</td>\n",
-       "      <td>False</td>\n",
-       "      <td>56</td>\n",
-       "      <td>manual_static_filter</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>768023</th>\n",
-       "      <td>2737577</td>\n",
-       "      <td>666987</td>\n",
-       "      <td>346</td>\n",
-       "      <td>Votre première liste</td>\n",
-       "      <td>False</td>\n",
-       "      <td>56</td>\n",
-       "      <td>manual_static_filter</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>768024 rows × 7 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "             id  customer_id  target_id                    target_name  \\\n",
-       "0       1184824       645400        130       DDCP PROMO Réseau livres   \n",
-       "1       1184825       645400        345  Inscrits NL générale site web   \n",
-       "2       1184828       645402        126    DDCP PROMO Art contemporain   \n",
-       "3       1184829       645403        126    DDCP PROMO Art contemporain   \n",
-       "4       1295770       647301        346           Votre première liste   \n",
-       "...         ...          ...        ...                            ...   \n",
-       "768019  2737545       666983        345  Inscrits NL générale site web   \n",
-       "768020  2737546       666983        346           Votre première liste   \n",
-       "768021  2737575       666986        346           Votre première liste   \n",
-       "768022  2737576       666987        345  Inscrits NL générale site web   \n",
-       "768023  2737577       666987        346           Votre première liste   \n",
-       "\n",
-       "        target_type_is_import  target_type_id      target_type_name  \n",
-       "0                       False              56  manual_static_filter  \n",
-       "1                       False              56  manual_static_filter  \n",
-       "2                       False              56  manual_static_filter  \n",
-       "3                       False              56  manual_static_filter  \n",
-       "4                       False              56  manual_static_filter  \n",
-       "...                       ...             ...                   ...  \n",
-       "768019                  False              56  manual_static_filter  \n",
-       "768020                  False              56  manual_static_filter  \n",
-       "768021                  False              56  manual_static_filter  \n",
-       "768022                  False              56  manual_static_filter  \n",
-       "768023                  False              56  manual_static_filter  \n",
-       "\n",
-       "[768024 rows x 7 columns]"
-      ]
-     },
-     "execution_count": 18,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# finally, merge\n",
-    "\n",
-    "# pour df1_customer_target_mappings on enlève les colonnes name, extra_field, et updated_at (valeur égale à created_at)\n",
-    "# note : by making a left join on df1_customer_target_mappings, we suppress 2 targets that have no customer associated\n",
-    "\n",
-    "df1_customer_targets = pd.merge(df1_customer_target_mappings[[\"id\", \"customer_id\", \"target_id\"]], \n",
-    "                                df1_targets_full, left_on='target_id', right_on='target_id', how='left')\n",
-    "df1_customer_targets"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "52326267-c5ba-4e21-b8ab-4b4c62de75d1",
-   "metadata": {},
-   "source": [
-    "## Campaign stats, campaigns"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 30,
-   "id": "06dca910-5c07-4ee1-bbf2-3b11b48ba1f2",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
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-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>id</th>\n",
-       "      <th>name</th>\n",
-       "      <th>service_id</th>\n",
-       "      <th>created_at</th>\n",
-       "      <th>updated_at</th>\n",
-       "      <th>process_id</th>\n",
-       "      <th>report_url</th>\n",
-       "      <th>category</th>\n",
-       "      <th>to_be_synced</th>\n",
-       "      <th>identifier</th>\n",
-       "      <th>sent_at</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>1319613</td>\n",
-       "      <td>newsletter enseignants janvier 2022</td>\n",
-       "      <td>721</td>\n",
-       "      <td>2022-01-14 16:06:42.586321+01:00</td>\n",
-       "      <td>2022-02-03 14:17:27.112963+01:00</td>\n",
-       "      <td>NaN</td>\n",
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-       "      <td>False</td>\n",
-       "      <td>aba3b6fd5d186d28e06ff97135cade7f</td>\n",
-       "      <td>2022-01-14 00:00:00+01:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>1319586</td>\n",
-       "      <td>lsf_janvier_2022</td>\n",
-       "      <td>717</td>\n",
-       "      <td>2022-01-07 11:30:35.315895+01:00</td>\n",
-       "      <td>2022-02-03 14:17:27.116171+01:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>788d986905533aba051261497ecffcbb</td>\n",
-       "      <td>2022-01-07 00:00:00+01:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>1319282</td>\n",
-       "      <td>Invitation à déjeuner au Mucem | Vernissage « ...</td>\n",
-       "      <td>591</td>\n",
-       "      <td>2021-09-28 12:50:24.448752+02:00</td>\n",
-       "      <td>2022-02-03 14:17:27.119582+01:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>3493894fa4ea036cfc6433c3e2ee63b0</td>\n",
-       "      <td>2021-09-28 00:00:00+02:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>1319283</td>\n",
-       "      <td>Vacances de la Toussaint - centres des loisirs</td>\n",
-       "      <td>590</td>\n",
-       "      <td>2021-09-28 18:01:04.692073+02:00</td>\n",
-       "      <td>2022-02-03 14:17:27.124408+01:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>08b255a5d42b89b0585260b6f2360bdd</td>\n",
-       "      <td>2021-09-28 00:00:00+02:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>1319636</td>\n",
-       "      <td>ddcp_promo_md_livemag</td>\n",
-       "      <td>730</td>\n",
-       "      <td>2022-01-27 18:00:41.053069+01:00</td>\n",
-       "      <td>2022-02-03 14:17:27.127607+01:00</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>d5cfead94f5350c12c322b5b664544c1</td>\n",
-       "      <td>2022-01-27 00:00:00+01:00</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "        id                                               name  service_id  \\\n",
-       "0  1319613                newsletter enseignants janvier 2022         721   \n",
-       "1  1319586                                   lsf_janvier_2022         717   \n",
-       "2  1319282  Invitation à déjeuner au Mucem | Vernissage « ...         591   \n",
-       "3  1319283     Vacances de la Toussaint - centres des loisirs         590   \n",
-       "4  1319636                              ddcp_promo_md_livemag         730   \n",
-       "\n",
-       "                         created_at                        updated_at  \\\n",
-       "0  2022-01-14 16:06:42.586321+01:00  2022-02-03 14:17:27.112963+01:00   \n",
-       "1  2022-01-07 11:30:35.315895+01:00  2022-02-03 14:17:27.116171+01:00   \n",
-       "2  2021-09-28 12:50:24.448752+02:00  2022-02-03 14:17:27.119582+01:00   \n",
-       "3  2021-09-28 18:01:04.692073+02:00  2022-02-03 14:17:27.124408+01:00   \n",
-       "4  2022-01-27 18:00:41.053069+01:00  2022-02-03 14:17:27.127607+01:00   \n",
-       "\n",
-       "   process_id  report_url  category  to_be_synced  \\\n",
-       "0         NaN         NaN       0.0         False   \n",
-       "1         NaN         NaN       0.0         False   \n",
-       "2         NaN         NaN       0.0         False   \n",
-       "3         NaN         NaN       0.0         False   \n",
-       "4         NaN         NaN       0.0         False   \n",
-       "\n",
-       "                         identifier                    sent_at  \n",
-       "0  aba3b6fd5d186d28e06ff97135cade7f  2022-01-14 00:00:00+01:00  \n",
-       "1  788d986905533aba051261497ecffcbb  2022-01-07 00:00:00+01:00  \n",
-       "2  3493894fa4ea036cfc6433c3e2ee63b0  2021-09-28 00:00:00+02:00  \n",
-       "3  08b255a5d42b89b0585260b6f2360bdd  2021-09-28 00:00:00+02:00  \n",
-       "4  d5cfead94f5350c12c322b5b664544c1  2022-01-27 00:00:00+01:00  "
-      ]
-     },
-     "execution_count": 30,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# 1. campaigns\n",
-    "df1_campaigns.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 31,
-   "id": "83eaa447-9144-41ed-9e26-f0f23799a8fd",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
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-       "\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>id</th>\n",
-       "      <th>campaign_id</th>\n",
-       "      <th>customer_id</th>\n",
-       "      <th>opened_at</th>\n",
-       "      <th>sent_at</th>\n",
-       "      <th>delivered_at</th>\n",
-       "      <th>created_at</th>\n",
-       "      <th>updated_at</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>19793</td>\n",
-       "      <td>58</td>\n",
-       "      <td>112597</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>2021-03-28 18:01:09+02:00</td>\n",
-       "      <td>2021-03-28 18:24:18+02:00</td>\n",
-       "      <td>2021-03-28 18:34:20.616136+02:00</td>\n",
-       "      <td>2022-04-15 22:52:04.397693+02:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>14211</td>\n",
-       "      <td>58</td>\n",
-       "      <td>113666</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>2021-03-28 18:01:09+02:00</td>\n",
-       "      <td>2021-03-28 18:21:02+02:00</td>\n",
-       "      <td>2021-03-28 18:21:04.297213+02:00</td>\n",
-       "      <td>2022-04-15 22:52:04.397693+02:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>13150</td>\n",
-       "      <td>58</td>\n",
-       "      <td>280561</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>2021-03-28 18:00:59+02:00</td>\n",
-       "      <td>2021-03-28 18:08:45+02:00</td>\n",
-       "      <td>2021-03-28 18:18:49.991042+02:00</td>\n",
-       "      <td>2022-04-15 22:52:04.397693+02:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>7073</td>\n",
-       "      <td>58</td>\n",
-       "      <td>101007</td>\n",
-       "      <td>2021-03-28 20:11:06+02:00</td>\n",
-       "      <td>2021-03-28 18:00:59+02:00</td>\n",
-       "      <td>2021-03-28 18:09:47+02:00</td>\n",
-       "      <td>2021-03-28 18:09:50.915354+02:00</td>\n",
-       "      <td>2022-04-15 22:52:04.397693+02:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>5175</td>\n",
-       "      <td>58</td>\n",
-       "      <td>103972</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>2021-03-28 18:01:06+02:00</td>\n",
-       "      <td>2021-03-28 18:05:03+02:00</td>\n",
-       "      <td>2021-03-28 18:05:08.507398+02:00</td>\n",
-       "      <td>2022-04-15 22:52:04.397693+02:00</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "      id  campaign_id  customer_id                  opened_at  \\\n",
-       "0  19793           58       112597                        NaN   \n",
-       "1  14211           58       113666                        NaN   \n",
-       "2  13150           58       280561                        NaN   \n",
-       "3   7073           58       101007  2021-03-28 20:11:06+02:00   \n",
-       "4   5175           58       103972                        NaN   \n",
-       "\n",
-       "                     sent_at               delivered_at  \\\n",
-       "0  2021-03-28 18:01:09+02:00  2021-03-28 18:24:18+02:00   \n",
-       "1  2021-03-28 18:01:09+02:00  2021-03-28 18:21:02+02:00   \n",
-       "2  2021-03-28 18:00:59+02:00  2021-03-28 18:08:45+02:00   \n",
-       "3  2021-03-28 18:00:59+02:00  2021-03-28 18:09:47+02:00   \n",
-       "4  2021-03-28 18:01:06+02:00  2021-03-28 18:05:03+02:00   \n",
-       "\n",
-       "                         created_at                        updated_at  \n",
-       "0  2021-03-28 18:34:20.616136+02:00  2022-04-15 22:52:04.397693+02:00  \n",
-       "1  2021-03-28 18:21:04.297213+02:00  2022-04-15 22:52:04.397693+02:00  \n",
-       "2  2021-03-28 18:18:49.991042+02:00  2022-04-15 22:52:04.397693+02:00  \n",
-       "3  2021-03-28 18:09:50.915354+02:00  2022-04-15 22:52:04.397693+02:00  \n",
-       "4  2021-03-28 18:05:08.507398+02:00  2022-04-15 22:52:04.397693+02:00  "
-      ]
-     },
-     "execution_count": 31,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# 2. campaigns stats\n",
-    "df1_campaign_stats.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 34,
-   "id": "7f25eb1b-e7c8-4715-bc30-7ac29a7181ac",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
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-       "    .dataframe tbody tr th:only-of-type {\n",
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-       "        text-align: right;\n",
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-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>id</th>\n",
-       "      <th>campaign_id</th>\n",
-       "      <th>customer_id</th>\n",
-       "      <th>opened_at</th>\n",
-       "      <th>sent_at</th>\n",
-       "      <th>delivered_at</th>\n",
-       "      <th>campaign_name</th>\n",
-       "      <th>campaign_service_id</th>\n",
-       "      <th>campaign_sent_at</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>19793</td>\n",
-       "      <td>58</td>\n",
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-       "      <td>NaN</td>\n",
-       "      <td>2021-03-28 18:01:09+02:00</td>\n",
-       "      <td>2021-03-28 18:24:18+02:00</td>\n",
-       "      <td>Le Mucem chez vous, gardons le lien #22</td>\n",
-       "      <td>404</td>\n",
-       "      <td>2021-03-28 00:00:00+01:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>14211</td>\n",
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-       "      <td>NaN</td>\n",
-       "      <td>2021-03-28 18:01:09+02:00</td>\n",
-       "      <td>2021-03-28 18:21:02+02:00</td>\n",
-       "      <td>Le Mucem chez vous, gardons le lien #22</td>\n",
-       "      <td>404</td>\n",
-       "      <td>2021-03-28 00:00:00+01:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>13150</td>\n",
-       "      <td>58</td>\n",
-       "      <td>280561</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>2021-03-28 18:00:59+02:00</td>\n",
-       "      <td>2021-03-28 18:08:45+02:00</td>\n",
-       "      <td>Le Mucem chez vous, gardons le lien #22</td>\n",
-       "      <td>404</td>\n",
-       "      <td>2021-03-28 00:00:00+01:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>7073</td>\n",
-       "      <td>58</td>\n",
-       "      <td>101007</td>\n",
-       "      <td>2021-03-28 20:11:06+02:00</td>\n",
-       "      <td>2021-03-28 18:00:59+02:00</td>\n",
-       "      <td>2021-03-28 18:09:47+02:00</td>\n",
-       "      <td>Le Mucem chez vous, gardons le lien #22</td>\n",
-       "      <td>404</td>\n",
-       "      <td>2021-03-28 00:00:00+01:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>5175</td>\n",
-       "      <td>58</td>\n",
-       "      <td>103972</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>2021-03-28 18:01:06+02:00</td>\n",
-       "      <td>2021-03-28 18:05:03+02:00</td>\n",
-       "      <td>Le Mucem chez vous, gardons le lien #22</td>\n",
-       "      <td>404</td>\n",
-       "      <td>2021-03-28 00:00:00+01:00</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "      id  campaign_id  customer_id                  opened_at  \\\n",
-       "0  19793           58       112597                        NaN   \n",
-       "1  14211           58       113666                        NaN   \n",
-       "2  13150           58       280561                        NaN   \n",
-       "3   7073           58       101007  2021-03-28 20:11:06+02:00   \n",
-       "4   5175           58       103972                        NaN   \n",
-       "\n",
-       "                     sent_at               delivered_at  \\\n",
-       "0  2021-03-28 18:01:09+02:00  2021-03-28 18:24:18+02:00   \n",
-       "1  2021-03-28 18:01:09+02:00  2021-03-28 18:21:02+02:00   \n",
-       "2  2021-03-28 18:00:59+02:00  2021-03-28 18:08:45+02:00   \n",
-       "3  2021-03-28 18:00:59+02:00  2021-03-28 18:09:47+02:00   \n",
-       "4  2021-03-28 18:01:06+02:00  2021-03-28 18:05:03+02:00   \n",
-       "\n",
-       "                             campaign_name  campaign_service_id  \\\n",
-       "0  Le Mucem chez vous, gardons le lien #22                  404   \n",
-       "1  Le Mucem chez vous, gardons le lien #22                  404   \n",
-       "2  Le Mucem chez vous, gardons le lien #22                  404   \n",
-       "3  Le Mucem chez vous, gardons le lien #22                  404   \n",
-       "4  Le Mucem chez vous, gardons le lien #22                  404   \n",
-       "\n",
-       "            campaign_sent_at  \n",
-       "0  2021-03-28 00:00:00+01:00  \n",
-       "1  2021-03-28 00:00:00+01:00  \n",
-       "2  2021-03-28 00:00:00+01:00  \n",
-       "3  2021-03-28 00:00:00+01:00  \n",
-       "4  2021-03-28 00:00:00+01:00  "
-      ]
-     },
-     "execution_count": 34,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# 3. merge campaigns and campaigns stats\n",
-    "\n",
-    "df1_campaigns_full = pd.merge(df1_campaign_stats[[\"id\", \"campaign_id\", \"customer_id\", \"opened_at\", \"sent_at\", \"delivered_at\"]], \n",
-    "                              df1_campaigns[[\"id\", \"name\", \"service_id\", \"sent_at\"]].add_prefix(\"campaign_\"),\n",
-    "                              on = \"campaign_id\", how = \"left\")\n",
-    "df1_campaigns_full.head()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "87fc686a-4a80-40ab-9987-20d2774f3055",
-   "metadata": {},
-   "source": [
-    "## Link stats"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 35,
-   "id": "2f9df2d0-8a23-496b-8e92-617285f64530",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
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-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
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-       "\n",
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-       "\n",
-       "    .dataframe thead th {\n",
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-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>id</th>\n",
-       "      <th>clicked_at</th>\n",
-       "      <th>link_id</th>\n",
-       "      <th>customer_id</th>\n",
-       "      <th>created_at</th>\n",
-       "      <th>updated_at</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>1</td>\n",
-       "      <td>2021-03-26 16:30:36+01:00</td>\n",
-       "      <td>1</td>\n",
-       "      <td>284033</td>\n",
-       "      <td>2021-03-26 15:30:37.050161+01:00</td>\n",
-       "      <td>2021-03-26 15:30:37.050161+01:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>2</td>\n",
-       "      <td>2021-03-26 17:16:34+01:00</td>\n",
-       "      <td>2</td>\n",
-       "      <td>119768</td>\n",
-       "      <td>2021-03-26 16:16:34.950871+01:00</td>\n",
-       "      <td>2021-03-26 16:16:34.950871+01:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>272</td>\n",
-       "      <td>2021-03-28 20:03:32+02:00</td>\n",
-       "      <td>42</td>\n",
-       "      <td>113105</td>\n",
-       "      <td>2021-03-28 18:03:32.736394+02:00</td>\n",
-       "      <td>2021-03-28 18:03:32.736394+02:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>4</td>\n",
-       "      <td>2021-03-26 17:43:19+01:00</td>\n",
-       "      <td>3</td>\n",
-       "      <td>272280</td>\n",
-       "      <td>2021-03-26 16:43:19.338321+01:00</td>\n",
-       "      <td>2021-03-26 16:43:19.338321+01:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>5</td>\n",
-       "      <td>2021-03-26 17:46:00+01:00</td>\n",
-       "      <td>3</td>\n",
-       "      <td>105095</td>\n",
-       "      <td>2021-03-26 16:46:00.502945+01:00</td>\n",
-       "      <td>2021-03-26 16:46:00.502945+01:00</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",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>151046</th>\n",
-       "      <td>243553</td>\n",
-       "      <td>2023-11-09 16:34:27+01:00</td>\n",
-       "      <td>14666</td>\n",
-       "      <td>998</td>\n",
-       "      <td>2023-11-09 15:34:29.425425+01:00</td>\n",
-       "      <td>2023-11-09 15:34:29.425425+01:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>151047</th>\n",
-       "      <td>243554</td>\n",
-       "      <td>2023-11-09 16:34:35+01:00</td>\n",
-       "      <td>14670</td>\n",
-       "      <td>998</td>\n",
-       "      <td>2023-11-09 15:34:37.505505+01:00</td>\n",
-       "      <td>2023-11-09 15:34:37.505505+01:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>151048</th>\n",
-       "      <td>243559</td>\n",
-       "      <td>2023-11-09 16:51:15+01:00</td>\n",
-       "      <td>14686</td>\n",
-       "      <td>82923</td>\n",
-       "      <td>2023-11-09 15:51:17.439518+01:00</td>\n",
-       "      <td>2023-11-09 15:51:17.439518+01:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>151049</th>\n",
-       "      <td>243561</td>\n",
-       "      <td>2023-11-09 16:59:42+01:00</td>\n",
-       "      <td>14677</td>\n",
-       "      <td>82923</td>\n",
-       "      <td>2023-11-09 15:59:44.030922+01:00</td>\n",
-       "      <td>2023-11-09 15:59:44.030922+01:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>151050</th>\n",
-       "      <td>243564</td>\n",
-       "      <td>2023-11-09 17:16:41+01:00</td>\n",
-       "      <td>14691</td>\n",
-       "      <td>1254355</td>\n",
-       "      <td>2023-11-09 16:16:43.012932+01:00</td>\n",
-       "      <td>2023-11-09 16:16:43.012932+01:00</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>151051 rows × 6 columns</p>\n",
-       "</div>"
-      ],
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-       "            id                 clicked_at  link_id  customer_id  \\\n",
-       "0            1  2021-03-26 16:30:36+01:00        1       284033   \n",
-       "1            2  2021-03-26 17:16:34+01:00        2       119768   \n",
-       "2          272  2021-03-28 20:03:32+02:00       42       113105   \n",
-       "3            4  2021-03-26 17:43:19+01:00        3       272280   \n",
-       "4            5  2021-03-26 17:46:00+01:00        3       105095   \n",
-       "...        ...                        ...      ...          ...   \n",
-       "151046  243553  2023-11-09 16:34:27+01:00    14666          998   \n",
-       "151047  243554  2023-11-09 16:34:35+01:00    14670          998   \n",
-       "151048  243559  2023-11-09 16:51:15+01:00    14686        82923   \n",
-       "151049  243561  2023-11-09 16:59:42+01:00    14677        82923   \n",
-       "151050  243564  2023-11-09 17:16:41+01:00    14691      1254355   \n",
-       "\n",
-       "                              created_at                        updated_at  \n",
-       "0       2021-03-26 15:30:37.050161+01:00  2021-03-26 15:30:37.050161+01:00  \n",
-       "1       2021-03-26 16:16:34.950871+01:00  2021-03-26 16:16:34.950871+01:00  \n",
-       "2       2021-03-28 18:03:32.736394+02:00  2021-03-28 18:03:32.736394+02:00  \n",
-       "3       2021-03-26 16:43:19.338321+01:00  2021-03-26 16:43:19.338321+01:00  \n",
-       "4       2021-03-26 16:46:00.502945+01:00  2021-03-26 16:46:00.502945+01:00  \n",
-       "...                                  ...                               ...  \n",
-       "151046  2023-11-09 15:34:29.425425+01:00  2023-11-09 15:34:29.425425+01:00  \n",
-       "151047  2023-11-09 15:34:37.505505+01:00  2023-11-09 15:34:37.505505+01:00  \n",
-       "151048  2023-11-09 15:51:17.439518+01:00  2023-11-09 15:51:17.439518+01:00  \n",
-       "151049  2023-11-09 15:59:44.030922+01:00  2023-11-09 15:59:44.030922+01:00  \n",
-       "151050  2023-11-09 16:16:43.012932+01:00  2023-11-09 16:16:43.012932+01:00  \n",
-       "\n",
-       "[151051 rows x 6 columns]"
-      ]
-     },
-     "execution_count": 35,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df1_link_stats"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "aad6fb14-9694-4c1e-9885-1ebe0f38afe3",
-   "metadata": {},
-   "source": [
-    "## Bonus : peut-on lier link stats et campaign ? Non, les dates à laquelle le client clique sur le lie/ouvre la campagne ne permettent pas de faire coincider link_id et campaign_id"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 67,
-   "id": "8be7c974-72c9-4e31-a874-d7e5d2719fb3",
-   "metadata": {},
-   "outputs": [
-    {
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-       "      <td>2022-04-15 22:51:01.994343+02:00</td>\n",
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-       "      <td>207544</td>\n",
-       "      <td>2022-08-23 10:33:04+02:00</td>\n",
-       "      <td>12365</td>\n",
-       "      <td>284033</td>\n",
-       "      <td>2022-08-23 08:33:06.498908+02:00</td>\n",
-       "      <td>2022-08-23 08:33:06.498908+02:00</td>\n",
-       "    </tr>\n",
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-      "text/plain": [
-       "            id                 clicked_at  link_id  customer_id  \\\n",
-       "0            1  2021-03-26 16:30:36+01:00        1       284033   \n",
-       "7526     14018  2021-05-10 18:07:59+02:00      312       284033   \n",
-       "96848   133449  2021-03-25 08:42:22+01:00        4       284033   \n",
-       "115728  207544  2022-08-23 10:33:04+02:00    12365       284033   \n",
-       "\n",
-       "                              created_at                        updated_at  \n",
-       "0       2021-03-26 15:30:37.050161+01:00  2021-03-26 15:30:37.050161+01:00  \n",
-       "7526    2021-05-10 16:08:00.541322+02:00  2021-05-10 16:08:00.541322+02:00  \n",
-       "96848   2022-04-15 22:51:01.994343+02:00  2022-04-15 22:51:01.994343+02:00  \n",
-       "115728  2022-08-23 08:33:06.498908+02:00  2022-08-23 08:33:06.498908+02:00  "
-      ]
-     },
-     "execution_count": 67,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df1_link_stats[df1_link_stats[\"customer_id\"] == 284033]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 82,
-   "id": "902e9947-58e1-44f4-b634-1239b0e4df02",
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-       "      <th></th>\n",
-       "      <th>id</th>\n",
-       "      <th>campaign_id</th>\n",
-       "      <th>customer_id</th>\n",
-       "      <th>opened_at</th>\n",
-       "      <th>sent_at</th>\n",
-       "      <th>delivered_at</th>\n",
-       "      <th>campaign_name</th>\n",
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-       "      <th>campaign_sent_at</th>\n",
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-       "  </thead>\n",
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-       "      <th>4030643</th>\n",
-       "      <td>4036376</td>\n",
-       "      <td>4</td>\n",
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-       "      <td>NaN</td>\n",
-       "      <td>2021-03-21 18:01:22+01:00</td>\n",
-       "      <td>2021-03-21 18:08:04+01:00</td>\n",
-       "      <td>Le Mucem chez vous, gardons le lien #21</td>\n",
-       "      <td>398</td>\n",
-       "      <td>2021-03-21 00:00:00+01:00</td>\n",
-       "    </tr>\n",
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-       "              id  campaign_id  customer_id opened_at  \\\n",
-       "4030643  4036376            4       284033       NaN   \n",
-       "\n",
-       "                           sent_at               delivered_at  \\\n",
-       "4030643  2021-03-21 18:01:22+01:00  2021-03-21 18:08:04+01:00   \n",
-       "\n",
-       "                                   campaign_name  campaign_service_id  \\\n",
-       "4030643  Le Mucem chez vous, gardons le lien #21                  398   \n",
-       "\n",
-       "                  campaign_sent_at  \n",
-       "4030643  2021-03-21 00:00:00+01:00  "
-      ]
-     },
-     "execution_count": 82,
-     "metadata": {},
-     "output_type": "execute_result"
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-   ],
-   "source": [
-    "df1_campaigns_full[ (df1_campaigns_full[\"customer_id\"] == 284033) & (df1_campaigns_full[\"campaign_id\"] == 4)]"
-   ]
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