diff --git a/0_Cleaning_and_merge.ipynb b/0_Cleaning_and_merge.ipynb
index aaaa80a..5077370 100644
--- a/0_Cleaning_and_merge.ipynb
+++ b/0_Cleaning_and_merge.ipynb
@@ -1702,7 +1702,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 69,
    "id": "043303fe-e90f-4689-a2a9-5d690555a045",
    "metadata": {},
    "outputs": [],
@@ -1718,6 +1718,12 @@
     "    # Proportion de vente en ligne\n",
     "    prop_vente_internet = tickets_information_copy[tickets_information_copy['vente_internet'] == 1].groupby(['customer_id', 'event_type_id'])['ticket_id'].count().reset_index()\n",
     "    prop_vente_internet.rename(columns = {'ticket_id' : 'nb_tickets_internet'}, inplace = True)\n",
+    "\n",
+    "    # Average amount\n",
+    "    avg_amount =  (tickets_information_copy.groupby([\"event_type_id\", 'name_event_types'])\n",
+    "              .agg({\"amount\" : \"mean\"}).reset_index()\n",
+    "              .rename(columns = {'amount' : 'avg_amount'}))\n",
+    "\n",
     "    \n",
     "    tickets_kpi = (tickets_information_copy[['event_type_id', 'customer_id',  'purchase_id' ,'ticket_id','supplier_name', 'purchase_date', 'amount', 'vente_internet']]\n",
     "                   .groupby(['customer_id', 'event_type_id']) \n",
@@ -1751,15 +1757,15 @@
     "    tickets_kpi = tickets_kpi.merge(prop_vente_internet, on = ['customer_id', 'event_type_id'], how = 'left')\n",
     "    tickets_kpi['nb_tickets_internet'] = tickets_kpi['nb_tickets_internet'].fillna(0)\n",
     "\n",
-    "    \n",
-    "    \n",
+    "    tickets_kpi = tickets_kpi.merge(avg_amount, how='left', on= 'event_type_id')\n",
+    "\n",
     "    return tickets_kpi\n",
     "    "
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 70,
    "id": "5882234a-1ed5-4269-87a6-0d75613476e3",
    "metadata": {},
    "outputs": [],
@@ -1938,800 +1944,6 @@
     "## Alexis' work"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 39,
-   "id": "273857e0-7112-4294-8ba6-3c39c5cbc13a",
-   "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",
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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>customer_id</th>\n",
-       "      <th>event_type_id</th>\n",
-       "      <th>nb_tickets</th>\n",
-       "      <th>nb_purchases</th>\n",
-       "      <th>total_amount</th>\n",
-       "      <th>nb_suppliers</th>\n",
-       "      <th>vente_internet_max</th>\n",
-       "      <th>purchase_date_min</th>\n",
-       "      <th>purchase_date_max</th>\n",
-       "      <th>time_between_purchase</th>\n",
-       "      <th>nb_tickets_internet</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>384226</td>\n",
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-       "    </tr>\n",
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-       "      <td>4</td>\n",
-       "      <td>453242</td>\n",
-       "      <td>228945</td>\n",
-       "      <td>3248965.5</td>\n",
-       "      <td>6</td>\n",
-       "      <td>1</td>\n",
-       "      <td>3698.198229</td>\n",
-       "      <td>5.221840</td>\n",
-       "      <td>3692.976389</td>\n",
-       "      <td>2988.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>1</td>\n",
-       "      <td>5</td>\n",
-       "      <td>201750</td>\n",
-       "      <td>107110</td>\n",
-       "      <td>1459190.0</td>\n",
-       "      <td>6</td>\n",
-       "      <td>1</td>\n",
-       "      <td>3803.369792</td>\n",
-       "      <td>0.146331</td>\n",
-       "      <td>3803.223461</td>\n",
-       "      <td>9.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>1</td>\n",
-       "      <td>6</td>\n",
-       "      <td>217356</td>\n",
-       "      <td>111786</td>\n",
-       "      <td>1435871.5</td>\n",
-       "      <td>5</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2502.715509</td>\n",
-       "      <td>1408.715532</td>\n",
-       "      <td>1093.999977</td>\n",
-       "      <td>5.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>143</td>\n",
-       "      <td>143</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2041.274549</td>\n",
-       "      <td>1340.308160</td>\n",
-       "      <td>700.966389</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   customer_id  event_type_id  nb_tickets  nb_purchases  total_amount  \\\n",
-       "0            1              2      384226        194790     2686540.5   \n",
-       "1            1              4      453242        228945     3248965.5   \n",
-       "2            1              5      201750        107110     1459190.0   \n",
-       "3            1              6      217356        111786     1435871.5   \n",
-       "4            2              2         143           143           0.0   \n",
-       "\n",
-       "   nb_suppliers  vente_internet_max  purchase_date_min  purchase_date_max  \\\n",
-       "0             7                   1        3262.190868           4.179306   \n",
-       "1             6                   1        3698.198229           5.221840   \n",
-       "2             6                   1        3803.369792           0.146331   \n",
-       "3             5                   1        2502.715509        1408.715532   \n",
-       "4             1                   0        2041.274549        1340.308160   \n",
-       "\n",
-       "   time_between_purchase  nb_tickets_internet  \n",
-       "0            3258.011562                 51.0  \n",
-       "1            3692.976389               2988.0  \n",
-       "2            3803.223461                  9.0  \n",
-       "3            1093.999977                  5.0  \n",
-       "4             700.966389                  0.0  "
-      ]
-     },
-     "execution_count": 39,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df1_tickets_kpi.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 40,
-   "id": "449731f3-340f-4648-8210-4622c7dbc174",
-   "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",
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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>event_type_id</th>\n",
-       "      <th>name_event_types</th>\n",
-       "      <th>avg_amount</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>2</td>\n",
-       "      <td>offre muséale individuel</td>\n",
-       "      <td>6.150659</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>4</td>\n",
-       "      <td>spectacle vivant</td>\n",
-       "      <td>7.762474</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>5</td>\n",
-       "      <td>offre muséale groupe</td>\n",
-       "      <td>4.452618</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>6</td>\n",
-       "      <td>formule adhésion</td>\n",
-       "      <td>6.439463</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   event_type_id          name_event_types  avg_amount\n",
-       "0              2  offre muséale individuel    6.150659\n",
-       "1              4          spectacle vivant    7.762474\n",
-       "2              5      offre muséale groupe    4.452618\n",
-       "3              6          formule adhésion    6.439463"
-      ]
-     },
-     "execution_count": 40,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "avg_amount =  (df1_products_purchased_reduced.groupby([\"event_type_id\", 'name_event_types'])\n",
-    "              .agg({\"amount\" : \"mean\"}).reset_index()\n",
-    "              .rename(columns = {'amount' : 'avg_amount'}))\n",
-    "\n",
-    "avg_amount"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 41,
-   "id": "b54bd9e8-3cad-453b-8e58-bf6d047912eb",
-   "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",
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-       "  <thead>\n",
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-       "      <th></th>\n",
-       "      <th>customer_id</th>\n",
-       "      <th>event_type_id</th>\n",
-       "      <th>nb_tickets</th>\n",
-       "      <th>nb_purchases</th>\n",
-       "      <th>total_amount</th>\n",
-       "      <th>nb_suppliers</th>\n",
-       "      <th>vente_internet_max</th>\n",
-       "      <th>purchase_date_min</th>\n",
-       "      <th>purchase_date_max</th>\n",
-       "      <th>time_between_purchase</th>\n",
-       "      <th>nb_tickets_internet</th>\n",
-       "      <th>name_event_types</th>\n",
-       "      <th>avg_amount</th>\n",
-       "    </tr>\n",
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-       "      <td>51.0</td>\n",
-       "      <td>offre muséale individuel</td>\n",
-       "      <td>6.150659</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
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-       "      <td>453242</td>\n",
-       "      <td>228945</td>\n",
-       "      <td>3248965.5</td>\n",
-       "      <td>6</td>\n",
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-       "      <td>3698.198229</td>\n",
-       "      <td>5.221840</td>\n",
-       "      <td>3692.976389</td>\n",
-       "      <td>2988.0</td>\n",
-       "      <td>spectacle vivant</td>\n",
-       "      <td>7.762474</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>1</td>\n",
-       "      <td>5</td>\n",
-       "      <td>201750</td>\n",
-       "      <td>107110</td>\n",
-       "      <td>1459190.0</td>\n",
-       "      <td>6</td>\n",
-       "      <td>1</td>\n",
-       "      <td>3803.369792</td>\n",
-       "      <td>0.146331</td>\n",
-       "      <td>3803.223461</td>\n",
-       "      <td>9.0</td>\n",
-       "      <td>offre muséale groupe</td>\n",
-       "      <td>4.452618</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>1</td>\n",
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-       "      <td>217356</td>\n",
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-       "      <td>1435871.5</td>\n",
-       "      <td>5</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2502.715509</td>\n",
-       "      <td>1408.715532</td>\n",
-       "      <td>1093.999977</td>\n",
-       "      <td>5.0</td>\n",
-       "      <td>formule adhésion</td>\n",
-       "      <td>6.439463</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>143</td>\n",
-       "      <td>143</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1</td>\n",
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-       "      <td>2041.274549</td>\n",
-       "      <td>1340.308160</td>\n",
-       "      <td>700.966389</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>offre muséale individuel</td>\n",
-       "      <td>6.150659</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   customer_id  event_type_id  nb_tickets  nb_purchases  total_amount  \\\n",
-       "0            1              2      384226        194790     2686540.5   \n",
-       "1            1              4      453242        228945     3248965.5   \n",
-       "2            1              5      201750        107110     1459190.0   \n",
-       "3            1              6      217356        111786     1435871.5   \n",
-       "4            2              2         143           143           0.0   \n",
-       "\n",
-       "   nb_suppliers  vente_internet_max  purchase_date_min  purchase_date_max  \\\n",
-       "0             7                   1        3262.190868           4.179306   \n",
-       "1             6                   1        3698.198229           5.221840   \n",
-       "2             6                   1        3803.369792           0.146331   \n",
-       "3             5                   1        2502.715509        1408.715532   \n",
-       "4             1                   0        2041.274549        1340.308160   \n",
-       "\n",
-       "   time_between_purchase  nb_tickets_internet          name_event_types  \\\n",
-       "0            3258.011562                 51.0  offre muséale individuel   \n",
-       "1            3692.976389               2988.0          spectacle vivant   \n",
-       "2            3803.223461                  9.0      offre muséale groupe   \n",
-       "3            1093.999977                  5.0          formule adhésion   \n",
-       "4             700.966389                  0.0  offre muséale individuel   \n",
-       "\n",
-       "   avg_amount  \n",
-       "0    6.150659  \n",
-       "1    7.762474  \n",
-       "2    4.452618  \n",
-       "3    6.439463  \n",
-       "4    6.150659  "
-      ]
-     },
-     "execution_count": 41,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df1_tickets_kpi = df1_tickets_kpi.merge(avg_amount, how='left', on= 'event_type_id')\n",
-    "df1_tickets_kpi.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 42,
-   "id": "2d6afe74-2517-478b-a99c-da9c7bd2edd4",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
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-       "      <th>average_ticket_basket</th>\n",
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-       "      <th>purchase_count</th>\n",
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-       "      <th>age</th>\n",
-       "      <th>tenant_id</th>\n",
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-       "      <td>True</td>\n",
-       "      <td>True</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0</td>\n",
-       "      <td>NaT</td>\n",
-       "      <td>fr</td>\n",
-       "      <td>NaN</td>\n",
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-       "      <td>True</td>\n",
-       "      <td>True</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0</td>\n",
-       "      <td>NaT</td>\n",
-       "      <td>fr</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>1311</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>11261</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>2</td>\n",
-       "      <td>False</td>\n",
-       "      <td>1</td>\n",
-       "      <td>True</td>\n",
-       "      <td>True</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0</td>\n",
-       "      <td>NaT</td>\n",
-       "      <td>fr</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>1311</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>13071</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>2</td>\n",
-       "      <td>False</td>\n",
-       "      <td>2</td>\n",
-       "      <td>True</td>\n",
-       "      <td>True</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0</td>\n",
-       "      <td>NaT</td>\n",
-       "      <td>fr</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>1311</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>653061</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>10</td>\n",
-       "      <td>False</td>\n",
-       "      <td>2</td>\n",
-       "      <td>True</td>\n",
-       "      <td>False</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0</td>\n",
-       "      <td>NaT</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>1311</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>151861</th>\n",
-       "      <td>295252</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>10</td>\n",
-       "      <td>False</td>\n",
-       "      <td>2</td>\n",
-       "      <td>True</td>\n",
-       "      <td>False</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0</td>\n",
-       "      <td>NaT</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>1311</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>151862</th>\n",
-       "      <td>295271</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>10</td>\n",
-       "      <td>False</td>\n",
-       "      <td>2</td>\n",
-       "      <td>True</td>\n",
-       "      <td>False</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0</td>\n",
-       "      <td>NaT</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>1311</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>151863</th>\n",
-       "      <td>295275</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>10</td>\n",
-       "      <td>False</td>\n",
-       "      <td>2</td>\n",
-       "      <td>True</td>\n",
-       "      <td>False</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0</td>\n",
-       "      <td>NaT</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>1311</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>151864</th>\n",
-       "      <td>295366</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>2</td>\n",
-       "      <td>False</td>\n",
-       "      <td>2</td>\n",
-       "      <td>True</td>\n",
-       "      <td>False</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>...</td>\n",
-       "      <td>1</td>\n",
-       "      <td>3.0</td>\n",
-       "      <td>33.0</td>\n",
-       "      <td>3.0</td>\n",
-       "      <td>33.0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2021-05-26 17:20:37+00:00</td>\n",
-       "      <td>fr</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>1311</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>151865</th>\n",
-       "      <td>295368</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>2</td>\n",
-       "      <td>False</td>\n",
-       "      <td>2</td>\n",
-       "      <td>True</td>\n",
-       "      <td>False</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>...</td>\n",
-       "      <td>1</td>\n",
-       "      <td>6.0</td>\n",
-       "      <td>22.0</td>\n",
-       "      <td>2.0</td>\n",
-       "      <td>22.0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2021-05-26 17:35:38+00:00</td>\n",
-       "      <td>fr</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>1311</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>151866 rows × 25 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "        customer_id birthdate  street_id  is_partner  gender  is_email_true  \\\n",
-       "0             12751       NaN          2       False       1           True   \n",
-       "1             12825       NaN          2       False       2           True   \n",
-       "2             11261       NaN          2       False       1           True   \n",
-       "3             13071       NaN          2       False       2           True   \n",
-       "4            653061       NaN         10       False       2           True   \n",
-       "...             ...       ...        ...         ...     ...            ...   \n",
-       "151861       295252       NaN         10       False       2           True   \n",
-       "151862       295271       NaN         10       False       2           True   \n",
-       "151863       295275       NaN         10       False       2           True   \n",
-       "151864       295366       NaN          2       False       2           True   \n",
-       "151865       295368       NaN          2       False       2           True   \n",
-       "\n",
-       "        opt_in  structure_id profession language  ...  fidelity  \\\n",
-       "0         True           NaN        NaN      NaN  ...         0   \n",
-       "1         True           NaN        NaN      NaN  ...         0   \n",
-       "2         True           NaN        NaN      NaN  ...         0   \n",
-       "3         True           NaN        NaN      NaN  ...         0   \n",
-       "4        False           NaN        NaN      NaN  ...         0   \n",
-       "...        ...           ...        ...      ...  ...       ...   \n",
-       "151861   False           NaN        NaN      NaN  ...         0   \n",
-       "151862   False           NaN        NaN      NaN  ...         0   \n",
-       "151863   False           NaN        NaN      NaN  ...         0   \n",
-       "151864   False           NaN        NaN      NaN  ...         1   \n",
-       "151865   False           NaN        NaN      NaN  ...         1   \n",
-       "\n",
-       "       average_purchase_delay  average_price_basket  average_ticket_basket  \\\n",
-       "0                         NaN                   NaN                    NaN   \n",
-       "1                         NaN                   NaN                    NaN   \n",
-       "2                         NaN                   NaN                    NaN   \n",
-       "3                         NaN                   NaN                    NaN   \n",
-       "4                         NaN                   NaN                    NaN   \n",
-       "...                       ...                   ...                    ...   \n",
-       "151861                    NaN                   NaN                    NaN   \n",
-       "151862                    NaN                   NaN                    NaN   \n",
-       "151863                    NaN                   NaN                    NaN   \n",
-       "151864                    3.0                  33.0                    3.0   \n",
-       "151865                    6.0                  22.0                    2.0   \n",
-       "\n",
-       "        total_price  purchase_count         first_buying_date  country  age  \\\n",
-       "0               NaN               0                       NaT       fr  NaN   \n",
-       "1               NaN               0                       NaT       fr  NaN   \n",
-       "2               NaN               0                       NaT       fr  NaN   \n",
-       "3               NaN               0                       NaT       fr  NaN   \n",
-       "4               NaN               0                       NaT      NaN  NaN   \n",
-       "...             ...             ...                       ...      ...  ...   \n",
-       "151861          NaN               0                       NaT      NaN  NaN   \n",
-       "151862          NaN               0                       NaT      NaN  NaN   \n",
-       "151863          NaN               0                       NaT      NaN  NaN   \n",
-       "151864         33.0               1 2021-05-26 17:20:37+00:00       fr  NaN   \n",
-       "151865         22.0               1 2021-05-26 17:35:38+00:00       fr  NaN   \n",
-       "\n",
-       "        tenant_id  \n",
-       "0            1311  \n",
-       "1            1311  \n",
-       "2            1311  \n",
-       "3            1311  \n",
-       "4            1311  \n",
-       "...           ...  \n",
-       "151861       1311  \n",
-       "151862       1311  \n",
-       "151863       1311  \n",
-       "151864       1311  \n",
-       "151865       1311  \n",
-       "\n",
-       "[151866 rows x 25 columns]"
-      ]
-     },
-     "execution_count": 42,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df1_customerplus_clean"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": 43,