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@ -3812,258 +3812,6 @@
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"### 3. products_purchased_reduced"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 48,
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"id": "643e75f7-5ff2-45e8-b6b9-808d2c8d40c4",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<div>\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>customer_id</th>\n",
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" <th>nb_tickets</th>\n",
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" <th>nb_purchases</th>\n",
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" <th>total_amount</th>\n",
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" <th>nb_suppliers</th>\n",
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" <th>vente_internet_max</th>\n",
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" <th>purchase_date_min</th>\n",
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" <th>purchase_date_max</th>\n",
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" <th>time_between_purchase</th>\n",
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" <th>nb_tickets_internet</th>\n",
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" <th>number_compagny</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <td>2643.092500</td>\n",
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" <td>10</td>\n",
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" <td>19485</td>\n",
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" <td>131</td>\n",
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" <td>21</td>\n",
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" <td>1878.0</td>\n",
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" <td>2</td>\n",
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" <td>1</td>\n",
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" <td>2649.044745</td>\n",
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" <td>84.0</td>\n",
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" <td>10</td>\n",
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" <td>19486</td>\n",
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" <td>10</td>\n",
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" <td>1944.077604</td>\n",
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" <td>1742.794225</td>\n",
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" <td>201.283380</td>\n",
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" <td>0.0</td>\n",
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" <td>10</td>\n",
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" <tr>\n",
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" <th>4</th>\n",
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" <td>19487</td>\n",
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" <td>2</td>\n",
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" <td>1</td>\n",
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" <td>33.0</td>\n",
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" <td>1</td>\n",
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" <td>0</td>\n",
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" <td>1742.877766</td>\n",
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" <td>1742.877766</td>\n",
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" <td>0.000000</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>99580</th>\n",
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" <td>6884747</td>\n",
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" <td>2</td>\n",
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" <td>1</td>\n",
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" <td>40.0</td>\n",
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" <td>1</td>\n",
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" <td>0</td>\n",
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" <td>0.193750</td>\n",
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" <td>0.193750</td>\n",
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" <td>0.000000</td>\n",
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" <td>14</td>\n",
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" <tr>\n",
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" <td>6884748</td>\n",
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" <td>2</td>\n",
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" <td>1</td>\n",
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" <td>40.0</td>\n",
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" <td>1</td>\n",
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" <td>0</td>\n",
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" <td>0.186806</td>\n",
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" <td>0.186806</td>\n",
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" <td>0.000000</td>\n",
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" <td>0.0</td>\n",
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" <td>14</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>99582</th>\n",
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" <td>6884750</td>\n",
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" <td>4</td>\n",
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" <td>1</td>\n",
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" <td>80.0</td>\n",
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" <td>1</td>\n",
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" <td>0</td>\n",
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" <td>0.136111</td>\n",
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" <td>0.136111</td>\n",
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" <td>0.000000</td>\n",
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" <td>0.0</td>\n",
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" <td>14</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>99583</th>\n",
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" <td>6884751</td>\n",
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" <td>2</td>\n",
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" <td>1</td>\n",
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" <td>40.0</td>\n",
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" <td>1</td>\n",
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" <td>0</td>\n",
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" <td>0.122917</td>\n",
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" <td>0.122917</td>\n",
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" <td>0.000000</td>\n",
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" <td>0.0</td>\n",
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" <td>14</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>99584</th>\n",
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" <td>6884753</td>\n",
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" <td>2</td>\n",
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" <td>1</td>\n",
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" <td>40.0</td>\n",
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" <td>1</td>\n",
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" <td>0</td>\n",
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" <td>0.047222</td>\n",
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" <td>0.047222</td>\n",
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" <td>0.000000</td>\n",
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" <td>0.0</td>\n",
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" <td>14</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"<p>764880 rows × 11 columns</p>\n",
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"</div>"
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],
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"text/plain": [
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" customer_id nb_tickets nb_purchases total_amount nb_suppliers \\\n",
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"0 19482 88 29 872.0 2 \n",
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"1 19484 3 2 62.0 1 \n",
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"2 19485 131 21 1878.0 2 \n",
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"3 19486 10 4 96.0 1 \n",
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"4 19487 2 1 33.0 1 \n",
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"... ... ... ... ... ... \n",
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"99580 6884747 2 1 40.0 1 \n",
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"99581 6884748 2 1 40.0 1 \n",
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"99582 6884750 4 1 80.0 1 \n",
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"99583 6884751 2 1 40.0 1 \n",
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"99584 6884753 2 1 40.0 1 \n",
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"\n",
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" vente_internet_max purchase_date_min purchase_date_max \\\n",
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"0 1 2643.092500 718.149398 \n",
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"1 0 1745.021736 1743.045035 \n",
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"2 1 2649.044745 85.240845 \n",
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"3 0 1944.077604 1742.794225 \n",
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"4 0 1742.877766 1742.877766 \n",
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"... ... ... ... \n",
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"99580 0 0.193750 0.193750 \n",
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"99581 0 0.186806 0.186806 \n",
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"99582 0 0.136111 0.136111 \n",
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"99583 0 0.122917 0.122917 \n",
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"99584 0 0.047222 0.047222 \n",
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"\n",
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" time_between_purchase nb_tickets_internet number_compagny \n",
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"0 1924.943102 8.0 10 \n",
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"1 1.976701 0.0 10 \n",
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"2 2563.803900 84.0 10 \n",
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"3 201.283380 0.0 10 \n",
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"4 0.000000 0.0 10 \n",
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"... ... ... ... \n",
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"99580 0.000000 0.0 14 \n",
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"99581 0.000000 0.0 14 \n",
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"99582 0.000000 0.0 14 \n",
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"99583 0.000000 0.0 14 \n",
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"99584 0.000000 0.0 14 \n",
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"\n",
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"[764880 rows x 11 columns]"
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]
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},
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"execution_count": 48,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"products_purchased_reduced_spectacle"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 47,
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@ -4203,7 +3951,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 61,
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"execution_count": 73,
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"id": "eb6355e0-3f8c-47d9-a5ee-d349040dcf51",
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"metadata": {},
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"outputs": [
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@ -4213,7 +3961,7 @@
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"Text(0.5, 1.0, \"Boite à moustache du chiffre d'affaire selon les compagnies de spectacles\")"
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]
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},
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"execution_count": 61,
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"execution_count": 73,
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"metadata": {},
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"output_type": "execute_result"
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},
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@ -4229,7 +3977,7 @@
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}
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],
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"source": [
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"#repartion Chiffre d'affaire selon le numero de la compagnie\n",
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"#repartition Chiffre d'affaire selon les compagnie de spectacle\n",
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"\n",
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"sns.boxplot(data=products_purchased_reduced_spectacle, y=\"total_amount\",x=\"number_compagny\",showfliers=False,showmeans=True)\n",
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"plt.title(\"Boite à moustache du chiffre d'affaire selon les compagnies de spectacles\")"
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@ -4362,7 +4110,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 65,
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"execution_count": 75,
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"id": "254875ac-95e4-44fa-9f02-6cec144e4bde",
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"metadata": {},
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"outputs": [
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@ -4427,7 +4175,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 72,
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"execution_count": 76,
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"id": "58f49748-e55f-4d1b-b58b-102d02a9e0eb",
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"metadata": {},
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"outputs": [
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@ -4442,7 +4190,7 @@
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}
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],
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"source": [
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"#test anova entre les entreprise de spectacle et taux d'achat de ticket en ligne\n",
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"#test anova entre les entreprise de spectacle et time_between_purchase\n",
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"import statsmodels.api as sm\n",
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"from statsmodels.formula.api import ols\n",
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"model = ols('time_between_purchase ~ number_compagny', data=products_purchased_reduced_spectacle).fit()\n",
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