diff --git a/0_Cleaning_and_merge.ipynb b/0_Cleaning_and_merge.ipynb
index 5085051..8b723e0 100644
--- a/0_Cleaning_and_merge.ipynb
+++ b/0_Cleaning_and_merge.ipynb
@@ -2345,8 +2345,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 76,
-   "id": "c78f5ade-c721-49d9-a474-73c217686ed1",
+   "execution_count": 77,
+   "id": "a7a452a6-cd5e-4c8b-b250-8a7d26e48fad",
    "metadata": {},
    "outputs": [
     {
@@ -2395,323 +2395,460 @@
        "      <td>3053.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1</th>\n",
+       "      <th>3615</th>\n",
+       "      <td>6733</td>\n",
+       "      <td>35527</td>\n",
+       "      <td>1188.0</td>\n",
+       "      <td>4</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2015-09-09 13:48:38+00:00</td>\n",
+       "      <td>2023-11-03 09:42:40+00:00</td>\n",
+       "      <td>2976 days 19:54:02</td>\n",
+       "      <td>30896.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>39</th>\n",
+       "      <td>41</td>\n",
+       "      <td>16263</td>\n",
+       "      <td>37642.0</td>\n",
+       "      <td>6</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2014-01-23 16:56:57+00:00</td>\n",
+       "      <td>2023-10-25 09:13:16+00:00</td>\n",
+       "      <td>3561 days 16:16:19</td>\n",
+       "      <td>13993.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>12</td>\n",
+       "      <td>5871</td>\n",
+       "      <td>38767.0</td>\n",
        "      <td>2</td>\n",
-       "      <td>307</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2018-04-04 07:46:31+00:00</td>\n",
+       "      <td>2023-11-04 13:46:59+00:00</td>\n",
+       "      <td>2040 days 06:00:28</td>\n",
+       "      <td>167.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32809</th>\n",
+       "      <td>63488</td>\n",
+       "      <td>5851</td>\n",
+       "      <td>64350.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2020-08-18 08:32:57+00:00</td>\n",
+       "      <td>2022-08-25 13:08:38+00:00</td>\n",
+       "      <td>737 days 04:35:41</td>\n",
+       "      <td>5851.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3708</th>\n",
+       "      <td>6916</td>\n",
+       "      <td>5482</td>\n",
+       "      <td>51489.5</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2018-03-26 11:13:43+00:00</td>\n",
+       "      <td>2021-08-26 12:49:17+00:00</td>\n",
+       "      <td>1249 days 01:35:34</td>\n",
+       "      <td>5481.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32616</th>\n",
+       "      <td>63194</td>\n",
+       "      <td>4507</td>\n",
+       "      <td>13232.0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2017-11-28 13:52:15+00:00</td>\n",
+       "      <td>2022-09-07 12:55:33+00:00</td>\n",
+       "      <td>1743 days 23:03:18</td>\n",
+       "      <td>826.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>78</th>\n",
+       "      <td>81</td>\n",
+       "      <td>3562</td>\n",
+       "      <td>38746.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2017-01-05 13:04:58+00:00</td>\n",
+       "      <td>2022-08-30 11:51:34+00:00</td>\n",
+       "      <td>2062 days 22:46:36</td>\n",
+       "      <td>3562.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>35295</th>\n",
+       "      <td>84002</td>\n",
+       "      <td>3403</td>\n",
+       "      <td>19830.0</td>\n",
+       "      <td>4</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2021-05-28 10:22:33+00:00</td>\n",
+       "      <td>2023-11-06 15:59:22+00:00</td>\n",
+       "      <td>892 days 05:36:49</td>\n",
+       "      <td>869.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3377</th>\n",
+       "      <td>5618</td>\n",
+       "      <td>3294</td>\n",
+       "      <td>31684.5</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2018-10-25 11:04:24+00:00</td>\n",
+       "      <td>2022-02-24 07:47:20+00:00</td>\n",
+       "      <td>1217 days 20:42:56</td>\n",
+       "      <td>3294.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>30011</th>\n",
+       "      <td>59259</td>\n",
+       "      <td>2591</td>\n",
+       "      <td>4350.0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2019-11-25 08:52:48+00:00</td>\n",
+       "      <td>2023-06-12 14:05:19+00:00</td>\n",
+       "      <td>1295 days 05:12:31</td>\n",
+       "      <td>52.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>34937</th>\n",
+       "      <td>74876</td>\n",
+       "      <td>2571</td>\n",
+       "      <td>2600.0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2018-02-08 12:54:01+00:00</td>\n",
+       "      <td>2023-10-02 08:13:05+00:00</td>\n",
+       "      <td>2061 days 19:19:04</td>\n",
+       "      <td>448.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>270</th>\n",
+       "      <td>295</td>\n",
+       "      <td>2570</td>\n",
+       "      <td>17678.5</td>\n",
+       "      <td>6</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2014-01-24 15:16:17+00:00</td>\n",
+       "      <td>2023-10-16 10:19:22+00:00</td>\n",
+       "      <td>3551 days 19:03:05</td>\n",
+       "      <td>1479.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>866</th>\n",
+       "      <td>1221</td>\n",
+       "      <td>2320</td>\n",
+       "      <td>9652.0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2017-03-29 08:00:09+00:00</td>\n",
+       "      <td>2022-09-19 12:55:15+00:00</td>\n",
+       "      <td>2000 days 04:55:06</td>\n",
+       "      <td>104.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1022</th>\n",
+       "      <td>1429</td>\n",
+       "      <td>2249</td>\n",
+       "      <td>3500.0</td>\n",
+       "      <td>4</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2014-12-03 14:56:38+00:00</td>\n",
+       "      <td>2023-11-06 08:30:37+00:00</td>\n",
+       "      <td>3259 days 17:33:59</td>\n",
+       "      <td>690.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3922</th>\n",
+       "      <td>7249</td>\n",
+       "      <td>1827</td>\n",
+       "      <td>13385.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2019-05-07 12:34:56+00:00</td>\n",
+       "      <td>2021-10-26 12:28:40+00:00</td>\n",
+       "      <td>902 days 23:53:44</td>\n",
+       "      <td>1827.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>54425</th>\n",
+       "      <td>1070539</td>\n",
+       "      <td>1800</td>\n",
+       "      <td>19800.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2022-05-02 16:09:03+00:00</td>\n",
+       "      <td>2022-07-25 12:49:27+00:00</td>\n",
+       "      <td>83 days 20:40:24</td>\n",
+       "      <td>1800.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>69520</th>\n",
+       "      <td>1216801</td>\n",
+       "      <td>1623</td>\n",
+       "      <td>12562.0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2023-06-16 14:16:04+00:00</td>\n",
+       "      <td>2023-09-29 16:34:38+00:00</td>\n",
+       "      <td>105 days 02:18:34</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>30056</th>\n",
+       "      <td>59330</td>\n",
+       "      <td>1551</td>\n",
        "      <td>0.0</td>\n",
        "      <td>1</td>\n",
        "      <td>0</td>\n",
-       "      <td>2018-04-07 12:55:07+00:00</td>\n",
-       "      <td>2020-03-08 12:06:43+00:00</td>\n",
-       "      <td>700 days 23:11:36</td>\n",
+       "      <td>2018-02-02 08:53:51+00:00</td>\n",
+       "      <td>2023-11-06 10:22:14+00:00</td>\n",
+       "      <td>2103 days 01:28:23</td>\n",
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2</th>\n",
+       "      <th>3243</th>\n",
+       "      <td>5441</td>\n",
+       "      <td>1544</td>\n",
+       "      <td>14133.0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2017-12-14 12:50:23+00:00</td>\n",
+       "      <td>2022-09-22 08:21:47+00:00</td>\n",
+       "      <td>1742 days 19:31:24</td>\n",
+       "      <td>1384.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>55195</th>\n",
+       "      <td>1084435</td>\n",
+       "      <td>1500</td>\n",
+       "      <td>16500.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2022-05-18 08:04:41+00:00</td>\n",
+       "      <td>2022-09-27 14:32:13+00:00</td>\n",
+       "      <td>132 days 06:27:32</td>\n",
+       "      <td>1500.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28983</th>\n",
+       "      <td>57816</td>\n",
+       "      <td>1485</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2019-01-21 14:19:18+00:00</td>\n",
+       "      <td>2023-05-22 07:30:55+00:00</td>\n",
+       "      <td>1581 days 17:11:37</td>\n",
+       "      <td>357.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2231</th>\n",
+       "      <td>2942</td>\n",
+       "      <td>1307</td>\n",
+       "      <td>100.0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2017-10-25 15:06:58+00:00</td>\n",
+       "      <td>2023-06-29 09:33:58+00:00</td>\n",
+       "      <td>2072 days 18:27:00</td>\n",
+       "      <td>676.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>24</td>\n",
+       "      <td>1266</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2015-09-30 16:07:52+00:00</td>\n",
+       "      <td>2023-10-19 07:20:48+00:00</td>\n",
+       "      <td>2940 days 15:12:56</td>\n",
+       "      <td>556.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4513</th>\n",
+       "      <td>9592</td>\n",
+       "      <td>1211</td>\n",
+       "      <td>62.0</td>\n",
+       "      <td>4</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2018-02-25 07:17:19+00:00</td>\n",
+       "      <td>2023-10-17 09:39:40+00:00</td>\n",
+       "      <td>2060 days 02:22:21</td>\n",
+       "      <td>353.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2936</th>\n",
+       "      <td>5059</td>\n",
+       "      <td>1186</td>\n",
+       "      <td>6308.0</td>\n",
        "      <td>3</td>\n",
-       "      <td>6</td>\n",
-       "      <td>110.0</td>\n",
        "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2019-09-19 15:15:01+00:00</td>\n",
-       "      <td>2023-09-27 09:13:09+00:00</td>\n",
-       "      <td>1468 days 17:58:08</td>\n",
-       "      <td>6.0</td>\n",
+       "      <td>2018-02-01 11:16:51+00:00</td>\n",
+       "      <td>2023-05-22 13:41:22+00:00</td>\n",
+       "      <td>1936 days 02:24:31</td>\n",
+       "      <td>1182.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>4</td>\n",
-       "      <td>4</td>\n",
-       "      <td>41.0</td>\n",
+       "      <th>11484</th>\n",
+       "      <td>25100</td>\n",
+       "      <td>1123</td>\n",
+       "      <td>0.0</td>\n",
        "      <td>1</td>\n",
        "      <td>1</td>\n",
-       "      <td>2019-09-19 15:43:49+00:00</td>\n",
-       "      <td>2021-09-02 18:42:19+00:00</td>\n",
-       "      <td>714 days 02:58:30</td>\n",
-       "      <td>4.0</td>\n",
+       "      <td>2015-12-21 15:38:05+00:00</td>\n",
+       "      <td>2021-07-13 07:39:57+00:00</td>\n",
+       "      <td>2030 days 16:01:52</td>\n",
+       "      <td>1123.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>5</td>\n",
-       "      <td>2</td>\n",
-       "      <td>19.0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2019-09-19 15:45:36+00:00</td>\n",
-       "      <td>2019-09-19 15:45:36+00:00</td>\n",
-       "      <td>0 days 00:00:00</td>\n",
-       "      <td>2.0</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",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>73513</th>\n",
-       "      <td>1256133</td>\n",
+       "      <th>934</th>\n",
+       "      <td>1326</td>\n",
+       "      <td>1098</td>\n",
+       "      <td>798.0</td>\n",
        "      <td>3</td>\n",
-       "      <td>33.0</td>\n",
        "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2023-11-08 16:51:19+00:00</td>\n",
-       "      <td>2023-11-08 16:51:19+00:00</td>\n",
-       "      <td>0 days 00:00:00</td>\n",
-       "      <td>3.0</td>\n",
+       "      <td>2018-02-13 13:13:48+00:00</td>\n",
+       "      <td>2023-02-01 08:39:45+00:00</td>\n",
+       "      <td>1813 days 19:25:57</td>\n",
+       "      <td>266.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>73514</th>\n",
-       "      <td>1256134</td>\n",
-       "      <td>4</td>\n",
-       "      <td>44.0</td>\n",
+       "      <th>30156</th>\n",
+       "      <td>59490</td>\n",
+       "      <td>1088</td>\n",
+       "      <td>0.0</td>\n",
        "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2023-11-08 17:17:51+00:00</td>\n",
-       "      <td>2023-11-08 17:17:51+00:00</td>\n",
-       "      <td>0 days 00:00:00</td>\n",
-       "      <td>4.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2019-12-06 12:59:20+00:00</td>\n",
+       "      <td>2023-10-05 08:23:50+00:00</td>\n",
+       "      <td>1398 days 19:24:30</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>73515</th>\n",
-       "      <td>1256135</td>\n",
-       "      <td>1</td>\n",
-       "      <td>11.0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2023-11-08 17:23:54+00:00</td>\n",
-       "      <td>2023-11-08 17:23:54+00:00</td>\n",
-       "      <td>0 days 00:00:00</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>73516</th>\n",
-       "      <td>1256136</td>\n",
+       "      <th>36478</th>\n",
+       "      <td>251268</td>\n",
+       "      <td>1086</td>\n",
+       "      <td>0.0</td>\n",
        "      <td>2</td>\n",
-       "      <td>22.0</td>\n",
        "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2023-11-08 18:32:18+00:00</td>\n",
-       "      <td>2023-11-08 18:32:18+00:00</td>\n",
-       "      <td>0 days 00:00:00</td>\n",
-       "      <td>2.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>73517</th>\n",
-       "      <td>1256137</td>\n",
-       "      <td>2</td>\n",
-       "      <td>22.0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2023-11-08 19:30:28+00:00</td>\n",
-       "      <td>2023-11-08 19:30:28+00:00</td>\n",
-       "      <td>0 days 00:00:00</td>\n",
-       "      <td>2.0</td>\n",
+       "      <td>2018-02-02 09:06:22+00:00</td>\n",
+       "      <td>2023-06-30 07:22:46+00:00</td>\n",
+       "      <td>1973 days 22:16:24</td>\n",
+       "      <td>279.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>73518 rows × 9 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
        "       customer_id  nb_tickets  total_amount  nb_suppliers  \\\n",
        "0                1     1256574     8830567.5             7   \n",
-       "1                2         307           0.0             1   \n",
-       "2                3           6         110.0             1   \n",
-       "3                4           4          41.0             1   \n",
-       "4                5           2          19.0             1   \n",
-       "...            ...         ...           ...           ...   \n",
-       "73513      1256133           3          33.0             1   \n",
-       "73514      1256134           4          44.0             1   \n",
-       "73515      1256135           1          11.0             1   \n",
-       "73516      1256136           2          22.0             1   \n",
-       "73517      1256137           2          22.0             1   \n",
+       "3615          6733       35527        1188.0             4   \n",
+       "39              41       16263       37642.0             6   \n",
+       "11              12        5871       38767.0             2   \n",
+       "32809        63488        5851       64350.0             1   \n",
+       "3708          6916        5482       51489.5             2   \n",
+       "32616        63194        4507       13232.0             3   \n",
+       "78              81        3562       38746.0             1   \n",
+       "35295        84002        3403       19830.0             4   \n",
+       "3377          5618        3294       31684.5             1   \n",
+       "30011        59259        2591        4350.0             3   \n",
+       "34937        74876        2571        2600.0             2   \n",
+       "270            295        2570       17678.5             6   \n",
+       "866           1221        2320        9652.0             2   \n",
+       "1022          1429        2249        3500.0             4   \n",
+       "3922          7249        1827       13385.0             1   \n",
+       "54425      1070539        1800       19800.0             1   \n",
+       "69520      1216801        1623       12562.0             2   \n",
+       "30056        59330        1551           0.0             1   \n",
+       "3243          5441        1544       14133.0             2   \n",
+       "55195      1084435        1500       16500.0             1   \n",
+       "28983        57816        1485           0.0             2   \n",
+       "2231          2942        1307         100.0             2   \n",
+       "23              24        1266           0.0             2   \n",
+       "4513          9592        1211          62.0             4   \n",
+       "2936          5059        1186        6308.0             3   \n",
+       "11484        25100        1123           0.0             1   \n",
+       "934           1326        1098         798.0             3   \n",
+       "30156        59490        1088           0.0             1   \n",
+       "36478       251268        1086           0.0             2   \n",
        "\n",
        "       vente_internet_max         purchase_date_min         purchase_date_max  \\\n",
        "0                       1 2013-06-10 10:37:58+00:00 2023-11-08 15:59:45+00:00   \n",
-       "1                       0 2018-04-07 12:55:07+00:00 2020-03-08 12:06:43+00:00   \n",
-       "2                       1 2019-09-19 15:15:01+00:00 2023-09-27 09:13:09+00:00   \n",
-       "3                       1 2019-09-19 15:43:49+00:00 2021-09-02 18:42:19+00:00   \n",
-       "4                       1 2019-09-19 15:45:36+00:00 2019-09-19 15:45:36+00:00   \n",
-       "...                   ...                       ...                       ...   \n",
-       "73513                   1 2023-11-08 16:51:19+00:00 2023-11-08 16:51:19+00:00   \n",
-       "73514                   1 2023-11-08 17:17:51+00:00 2023-11-08 17:17:51+00:00   \n",
-       "73515                   1 2023-11-08 17:23:54+00:00 2023-11-08 17:23:54+00:00   \n",
-       "73516                   1 2023-11-08 18:32:18+00:00 2023-11-08 18:32:18+00:00   \n",
-       "73517                   1 2023-11-08 19:30:28+00:00 2023-11-08 19:30:28+00:00   \n",
+       "3615                    1 2015-09-09 13:48:38+00:00 2023-11-03 09:42:40+00:00   \n",
+       "39                      1 2014-01-23 16:56:57+00:00 2023-10-25 09:13:16+00:00   \n",
+       "11                      1 2018-04-04 07:46:31+00:00 2023-11-04 13:46:59+00:00   \n",
+       "32809                   1 2020-08-18 08:32:57+00:00 2022-08-25 13:08:38+00:00   \n",
+       "3708                    1 2018-03-26 11:13:43+00:00 2021-08-26 12:49:17+00:00   \n",
+       "32616                   1 2017-11-28 13:52:15+00:00 2022-09-07 12:55:33+00:00   \n",
+       "78                      1 2017-01-05 13:04:58+00:00 2022-08-30 11:51:34+00:00   \n",
+       "35295                   1 2021-05-28 10:22:33+00:00 2023-11-06 15:59:22+00:00   \n",
+       "3377                    1 2018-10-25 11:04:24+00:00 2022-02-24 07:47:20+00:00   \n",
+       "30011                   1 2019-11-25 08:52:48+00:00 2023-06-12 14:05:19+00:00   \n",
+       "34937                   1 2018-02-08 12:54:01+00:00 2023-10-02 08:13:05+00:00   \n",
+       "270                     1 2014-01-24 15:16:17+00:00 2023-10-16 10:19:22+00:00   \n",
+       "866                     1 2017-03-29 08:00:09+00:00 2022-09-19 12:55:15+00:00   \n",
+       "1022                    1 2014-12-03 14:56:38+00:00 2023-11-06 08:30:37+00:00   \n",
+       "3922                    1 2019-05-07 12:34:56+00:00 2021-10-26 12:28:40+00:00   \n",
+       "54425                   1 2022-05-02 16:09:03+00:00 2022-07-25 12:49:27+00:00   \n",
+       "69520                   0 2023-06-16 14:16:04+00:00 2023-09-29 16:34:38+00:00   \n",
+       "30056                   0 2018-02-02 08:53:51+00:00 2023-11-06 10:22:14+00:00   \n",
+       "3243                    1 2017-12-14 12:50:23+00:00 2022-09-22 08:21:47+00:00   \n",
+       "55195                   1 2022-05-18 08:04:41+00:00 2022-09-27 14:32:13+00:00   \n",
+       "28983                   1 2019-01-21 14:19:18+00:00 2023-05-22 07:30:55+00:00   \n",
+       "2231                    1 2017-10-25 15:06:58+00:00 2023-06-29 09:33:58+00:00   \n",
+       "23                      1 2015-09-30 16:07:52+00:00 2023-10-19 07:20:48+00:00   \n",
+       "4513                    1 2018-02-25 07:17:19+00:00 2023-10-17 09:39:40+00:00   \n",
+       "2936                    1 2018-02-01 11:16:51+00:00 2023-05-22 13:41:22+00:00   \n",
+       "11484                   1 2015-12-21 15:38:05+00:00 2021-07-13 07:39:57+00:00   \n",
+       "934                     1 2018-02-13 13:13:48+00:00 2023-02-01 08:39:45+00:00   \n",
+       "30156                   0 2019-12-06 12:59:20+00:00 2023-10-05 08:23:50+00:00   \n",
+       "36478                   1 2018-02-02 09:06:22+00:00 2023-06-30 07:22:46+00:00   \n",
        "\n",
        "      time_between_purchase  nb_tickets_internet  \n",
        "0        3803 days 05:21:47               3053.0  \n",
-       "1         700 days 23:11:36                  0.0  \n",
-       "2        1468 days 17:58:08                  6.0  \n",
-       "3         714 days 02:58:30                  4.0  \n",
-       "4           0 days 00:00:00                  2.0  \n",
-       "...                     ...                  ...  \n",
-       "73513       0 days 00:00:00                  3.0  \n",
-       "73514       0 days 00:00:00                  4.0  \n",
-       "73515       0 days 00:00:00                  1.0  \n",
-       "73516       0 days 00:00:00                  2.0  \n",
-       "73517       0 days 00:00:00                  2.0  \n",
-       "\n",
-       "[73518 rows x 9 columns]"
+       "3615     2976 days 19:54:02              30896.0  \n",
+       "39       3561 days 16:16:19              13993.0  \n",
+       "11       2040 days 06:00:28                167.0  \n",
+       "32809     737 days 04:35:41               5851.0  \n",
+       "3708     1249 days 01:35:34               5481.0  \n",
+       "32616    1743 days 23:03:18                826.0  \n",
+       "78       2062 days 22:46:36               3562.0  \n",
+       "35295     892 days 05:36:49                869.0  \n",
+       "3377     1217 days 20:42:56               3294.0  \n",
+       "30011    1295 days 05:12:31                 52.0  \n",
+       "34937    2061 days 19:19:04                448.0  \n",
+       "270      3551 days 19:03:05               1479.0  \n",
+       "866      2000 days 04:55:06                104.0  \n",
+       "1022     3259 days 17:33:59                690.0  \n",
+       "3922      902 days 23:53:44               1827.0  \n",
+       "54425      83 days 20:40:24               1800.0  \n",
+       "69520     105 days 02:18:34                  0.0  \n",
+       "30056    2103 days 01:28:23                  0.0  \n",
+       "3243     1742 days 19:31:24               1384.0  \n",
+       "55195     132 days 06:27:32               1500.0  \n",
+       "28983    1581 days 17:11:37                357.0  \n",
+       "2231     2072 days 18:27:00                676.0  \n",
+       "23       2940 days 15:12:56                556.0  \n",
+       "4513     2060 days 02:22:21                353.0  \n",
+       "2936     1936 days 02:24:31               1182.0  \n",
+       "11484    2030 days 16:01:52               1123.0  \n",
+       "934      1813 days 19:25:57                266.0  \n",
+       "30156    1398 days 19:24:30                  0.0  \n",
+       "36478    1973 days 22:16:24                279.0  "
       ]
      },
-     "execution_count": 76,
+     "execution_count": 77,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "source": [
-    "df1_tickets_kpi"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 63,
-   "id": "de1ecf15-1aa1-4aa2-9467-8ad8e9be5856",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "    df_tickets_information_copy = df1_products_purchased_reduced.copy()\n",
-    "\n",
-    "    # Dummy : Canal de vente en ligne\n",
-    "    liste_mots = ['en ligne', 'internet', 'web', 'net', 'vad', 'online'] # vad = vente à distance\n",
-    "    df_tickets_information_copy['vente_internet'] = df_tickets_information_copy['supplier_name'].str.contains('|'.join(liste_mots), case=False).astype(int)\n",
-    "\n",
-    "    # Proportion de vente en ligne\n",
-    "    prop_vente_internet = df_tickets_information_copy[df_tickets_information_copy['vente_internet'] == 1].groupby('customer_id')['ticket_id'].count().reset_index()\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 64,
-   "id": "9cd36178-11dc-409c-b148-fb1d208c2faf",
-   "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>customer_id</th>\n",
-       "      <th>ticket_id</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>1</td>\n",
-       "      <td>3053</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>3</td>\n",
-       "      <td>6</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>4</td>\n",
-       "      <td>4</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>5</td>\n",
-       "      <td>2</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>6</td>\n",
-       "      <td>2</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>56744</th>\n",
-       "      <td>1256133</td>\n",
-       "      <td>3</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>56745</th>\n",
-       "      <td>1256134</td>\n",
-       "      <td>4</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>56746</th>\n",
-       "      <td>1256135</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>56747</th>\n",
-       "      <td>1256136</td>\n",
-       "      <td>2</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>56748</th>\n",
-       "      <td>1256137</td>\n",
-       "      <td>2</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>56749 rows × 2 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "       customer_id  ticket_id\n",
-       "0                1       3053\n",
-       "1                3          6\n",
-       "2                4          4\n",
-       "3                5          2\n",
-       "4                6          2\n",
-       "...            ...        ...\n",
-       "56744      1256133          3\n",
-       "56745      1256134          4\n",
-       "56746      1256135          1\n",
-       "56747      1256136          2\n",
-       "56748      1256137          2\n",
-       "\n",
-       "[56749 rows x 2 columns]"
-      ]
-     },
-     "execution_count": 64,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "prop_vente_internet"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "a7a452a6-cd5e-4c8b-b250-8a7d26e48fad",
-   "metadata": {},
-   "outputs": [],
    "source": [
     "df1_tickets_kpi.sort_values(by='nb_tickets', ascending=False).head(30)"
    ]