diff --git a/Traitement_Fanta.ipynb b/Traitement_Fanta.ipynb
index a456ad0..c373bd7 100644
--- a/Traitement_Fanta.ipynb
+++ b/Traitement_Fanta.ipynb
@@ -10,7 +10,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 3,
    "id": "ae3af8e6-ced8-4994-8877-fa98d4297cc0",
    "metadata": {},
    "outputs": [],
@@ -29,7 +29,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 4,
    "id": "b6035982-9ff4-4013-9792-2d50e10db3d1",
    "metadata": {},
    "outputs": [
@@ -66,7 +66,7 @@
        " 'bdc2324-data/1/1type_ofs.csv']"
       ]
      },
-     "execution_count": 3,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -84,7 +84,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 5,
    "id": "b86c935d-124f-453f-80dd-83ea6770d09c",
    "metadata": {},
    "outputs": [],
@@ -94,7 +94,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 6,
    "id": "f6d0b27c-0ecd-406b-b042-6c3802dd68fd",
    "metadata": {},
    "outputs": [
@@ -102,7 +102,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_1054/1008972637.py:5: DtypeWarning: Columns (1) have mixed types. Specify dtype option on import or set low_memory=False.\n",
+      "/tmp/ipykernel_432/1008972637.py:5: DtypeWarning: Columns (1) have mixed types. Specify dtype option on import or set low_memory=False.\n",
       "  globals()[nom_base] = pd.read_csv(file_in, sep=\",\")\n"
      ]
     }
@@ -117,7 +117,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 7,
    "id": "2a6b5e22-3370-457f-83b7-dd1e13663229",
    "metadata": {},
    "outputs": [
@@ -127,7 +127,7 @@
        "'bdc2324-data/1/1type_ofs.csv'"
       ]
      },
-     "execution_count": 11,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -136,6 +136,22 @@
     "FILE_PATH_S3_fanta"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "79012186-ea51-4252-843e-36a9bbe3847e",
+   "metadata": {},
+   "source": [
+    "# Analyse exploratoire "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1a365f29-4766-47d8-9796-24a5271867b2",
+   "metadata": {},
+   "source": [
+    "## I. Base  type_of_pricing_formulas"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "bcc14f93-2289-44eb-816b-a51049b258df",
@@ -145,21 +161,17 @@
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": 12,
-   "id": "7f8083ec-3d08-4c4e-8d26-a5a4948c1c02",
+   "cell_type": "raw",
+   "id": "ab2ec4c4-9d38-4aeb-8202-9116df3cdd66",
    "metadata": {},
-   "outputs": [],
    "source": [
     "dic_prod_princing=['type_of_pricing_formulas','products_groups','pricing_formulas','product_packs','products']"
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": 16,
-   "id": "a6de36fa-3d35-4b20-97f2-3e24d54c7f99",
+   "cell_type": "markdown",
+   "id": "88759b4a-2633-478d-abce-29abeac376d1",
    "metadata": {},
-   "outputs": [],
    "source": [
     "def verifier_donnees_manquantes(base):\n",
     "    donnees_manquantes = base.isna().sum()\n",
@@ -168,24 +180,9 @@
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": 17,
-   "id": "1c261736-11fb-44f4-a4b1-830cae755a65",
+   "cell_type": "markdown",
+   "id": "df3075b4-1490-4cf2-a3fe-c6d4e2144ae3",
    "metadata": {},
-   "outputs": [
-    {
-     "ename": "AttributeError",
-     "evalue": "'str' object has no attribute 'isna'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
-      "Cell \u001b[0;32mIn[17], line 2\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m nom_base \u001b[38;5;129;01min\u001b[39;00m dic_prod_princing:\n\u001b[0;32m----> 2\u001b[0m     \u001b[43mverifier_donnees_manquantes\u001b[49m\u001b[43m(\u001b[49m\u001b[43mnom_base\u001b[49m\u001b[43m)\u001b[49m\n",
-      "Cell \u001b[0;32mIn[16], line 2\u001b[0m, in \u001b[0;36mverifier_donnees_manquantes\u001b[0;34m(base)\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mverifier_donnees_manquantes\u001b[39m(base):\n\u001b[0;32m----> 2\u001b[0m     donnees_manquantes \u001b[38;5;241m=\u001b[39m \u001b[43mbase\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43misna\u001b[49m()\u001b[38;5;241m.\u001b[39msum()\n\u001b[1;32m      3\u001b[0m     \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mDonnées manquantes pour la base :\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m      4\u001b[0m     \u001b[38;5;28mprint\u001b[39m(donnees_manquantes)\n",
-      "\u001b[0;31mAttributeError\u001b[0m: 'str' object has no attribute 'isna'"
-     ]
-    }
-   ],
    "source": [
     "for nom_base in dic_prod_princing:\n",
     "    verifier_donnees_manquantes(nom_base)"
@@ -193,7 +190,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 8,
    "id": "e0c67c01-e837-4772-b070-d1be0d895a36",
    "metadata": {},
    "outputs": [
@@ -209,19 +206,942 @@
        "dtype: int64"
       ]
      },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#detection des Nan d\n",
+    "\n",
+    "type_of_pricing_formulas.isna().sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "3eaffaa6-1164-4ee9-a671-8b5eb3df797d",
+   "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>type_of_id</th>\n",
+       "      <th>pricing_formula_id</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>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>127</td>\n",
+       "      <td>2021-01-05 11:55:51.226960+01:00</td>\n",
+       "      <td>2021-01-05 11:55:51.226960+01:00</td>\n",
+       "      <td>cf2918b25e6dcf8c30798ca05c8ec8ed</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2425</td>\n",
+       "      <td>2021-01-05 11:55:51.235606+01:00</td>\n",
+       "      <td>2021-01-05 11:55:51.235606+01:00</td>\n",
+       "      <td>2c8ee3f7c1487d792b6c946314e681f2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2937</td>\n",
+       "      <td>2021-01-05 11:55:51.240114+01:00</td>\n",
+       "      <td>2021-01-05 11:55:51.240114+01:00</td>\n",
+       "      <td>44e55c85e4eb59b3c3c01c137a6b25fc</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4</td>\n",
+       "      <td>1</td>\n",
+       "      <td>48</td>\n",
+       "      <td>2021-01-05 11:55:51.244638+01:00</td>\n",
+       "      <td>2021-01-05 11:55:51.244638+01:00</td>\n",
+       "      <td>ee3bb93b7e2217cd86a49d547fedf6c6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5</td>\n",
+       "      <td>1</td>\n",
+       "      <td>7</td>\n",
+       "      <td>2021-01-05 11:55:51.249409+01:00</td>\n",
+       "      <td>2021-01-05 11:55:51.249409+01:00</td>\n",
+       "      <td>ae701668574f1a653d2b21ddfd250620</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>563</th>\n",
+       "      <td>564</td>\n",
+       "      <td>4</td>\n",
+       "      <td>6656</td>\n",
+       "      <td>2022-02-18 16:15:58.872249+01:00</td>\n",
+       "      <td>2022-02-18 16:15:58.872249+01:00</td>\n",
+       "      <td>f669824cdca9de9697f07ff3ba365a8d</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>564</th>\n",
+       "      <td>565</td>\n",
+       "      <td>4</td>\n",
+       "      <td>6607</td>\n",
+       "      <td>2022-02-18 16:15:59.231018+01:00</td>\n",
+       "      <td>2022-02-18 16:15:59.231018+01:00</td>\n",
+       "      <td>6421c8146a598758139153b0e7b921ea</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>565</th>\n",
+       "      <td>566</td>\n",
+       "      <td>4</td>\n",
+       "      <td>6700</td>\n",
+       "      <td>2022-02-18 16:15:59.724812+01:00</td>\n",
+       "      <td>2022-02-18 16:15:59.724812+01:00</td>\n",
+       "      <td>6823f6d4d80b322fbfb8b83545a9f96d</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>566</th>\n",
+       "      <td>567</td>\n",
+       "      <td>4</td>\n",
+       "      <td>8118</td>\n",
+       "      <td>2022-02-18 16:16:00.163381+01:00</td>\n",
+       "      <td>2022-02-18 16:16:00.163381+01:00</td>\n",
+       "      <td>35cfc12584b4d1b94795d97fd0aa56e8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>567</th>\n",
+       "      <td>569</td>\n",
+       "      <td>7</td>\n",
+       "      <td>48157</td>\n",
+       "      <td>2023-03-13 11:30:29.480161+01:00</td>\n",
+       "      <td>2023-03-13 11:30:29.480161+01:00</td>\n",
+       "      <td>55863541f33fd229ac9b54d9ec1f4874</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>568 rows × 6 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      id  type_of_id  pricing_formula_id                        created_at  \\\n",
+       "0      1           1                 127  2021-01-05 11:55:51.226960+01:00   \n",
+       "1      2           1                2425  2021-01-05 11:55:51.235606+01:00   \n",
+       "2      3           1                2937  2021-01-05 11:55:51.240114+01:00   \n",
+       "3      4           1                  48  2021-01-05 11:55:51.244638+01:00   \n",
+       "4      5           1                   7  2021-01-05 11:55:51.249409+01:00   \n",
+       "..   ...         ...                 ...                               ...   \n",
+       "563  564           4                6656  2022-02-18 16:15:58.872249+01:00   \n",
+       "564  565           4                6607  2022-02-18 16:15:59.231018+01:00   \n",
+       "565  566           4                6700  2022-02-18 16:15:59.724812+01:00   \n",
+       "566  567           4                8118  2022-02-18 16:16:00.163381+01:00   \n",
+       "567  569           7               48157  2023-03-13 11:30:29.480161+01:00   \n",
+       "\n",
+       "                           updated_at                        identifier  \n",
+       "0    2021-01-05 11:55:51.226960+01:00  cf2918b25e6dcf8c30798ca05c8ec8ed  \n",
+       "1    2021-01-05 11:55:51.235606+01:00  2c8ee3f7c1487d792b6c946314e681f2  \n",
+       "2    2021-01-05 11:55:51.240114+01:00  44e55c85e4eb59b3c3c01c137a6b25fc  \n",
+       "3    2021-01-05 11:55:51.244638+01:00  ee3bb93b7e2217cd86a49d547fedf6c6  \n",
+       "4    2021-01-05 11:55:51.249409+01:00  ae701668574f1a653d2b21ddfd250620  \n",
+       "..                                ...                               ...  \n",
+       "563  2022-02-18 16:15:58.872249+01:00  f669824cdca9de9697f07ff3ba365a8d  \n",
+       "564  2022-02-18 16:15:59.231018+01:00  6421c8146a598758139153b0e7b921ea  \n",
+       "565  2022-02-18 16:15:59.724812+01:00  6823f6d4d80b322fbfb8b83545a9f96d  \n",
+       "566  2022-02-18 16:16:00.163381+01:00  35cfc12584b4d1b94795d97fd0aa56e8  \n",
+       "567  2023-03-13 11:30:29.480161+01:00  55863541f33fd229ac9b54d9ec1f4874  \n",
+       "\n",
+       "[568 rows x 6 columns]"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "type_of_pricing_formulas"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "57298669-8d55-40d5-a5aa-4c5df984eec7",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "id                     int64\n",
+       "type_of_id             int64\n",
+       "pricing_formula_id     int64\n",
+       "created_at            object\n",
+       "updated_at            object\n",
+       "identifier            object\n",
+       "dtype: object"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#type des variables\n",
+    "\n",
+    "type_of_pricing_formulas.dtypes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "c11850cb-8833-44c0-a11d-9695d620a42b",
+   "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>type_of_id</th>\n",
+       "      <th>pricing_formula_id</th>\n",
+       "      <th>created_at</th>\n",
+       "      <th>updated_at</th>\n",
+       "      <th>identifier</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "Empty DataFrame\n",
+       "Columns: [id, type_of_id, pricing_formula_id, created_at, updated_at, identifier]\n",
+       "Index: []"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Identification des doublons\n",
+    "type_of_pricing_formulas.loc[type_of_pricing_formulas['id'].duplicated(keep=False),:]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7a40de03-5e18-4d3d-a0f8-da960c29fad8",
+   "metadata": {},
+   "source": [
+    "## II.products_groups"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "89909175-6734-4e8e-8632-d6f8ca812388",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "id                    0\n",
+       "percent_price         0\n",
+       "max_price             0\n",
+       "min_price             0\n",
+       "category_id           0\n",
+       "pricing_formula_id    0\n",
+       "representation_id     0\n",
+       "created_at            0\n",
+       "updated_at            0\n",
+       "dtype: int64"
+      ]
+     },
      "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "type_of_pricing_formulas.isna().sum()"
+    "#detection des Nan \n",
+    "\n",
+    "products_groups.isna().sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "6a187170-96c4-48d2-9568-b270f67e2c27",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "id                      int64\n",
+       "percent_price         float64\n",
+       "max_price             float64\n",
+       "min_price             float64\n",
+       "category_id             int64\n",
+       "pricing_formula_id      int64\n",
+       "representation_id       int64\n",
+       "created_at             object\n",
+       "updated_at             object\n",
+       "dtype: object"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#type des variables\n",
+    "\n",
+    "products_groups.dtypes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "2fba2cb0-a6a4-43b2-a854-3be07939c28b",
+   "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>percent_price</th>\n",
+       "      <th>max_price</th>\n",
+       "      <th>min_price</th>\n",
+       "      <th>category_id</th>\n",
+       "      <th>pricing_formula_id</th>\n",
+       "      <th>representation_id</th>\n",
+       "      <th>created_at</th>\n",
+       "      <th>updated_at</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "Empty DataFrame\n",
+       "Columns: [id, percent_price, max_price, min_price, category_id, pricing_formula_id, representation_id, created_at, updated_at]\n",
+       "Index: []"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Identification des doublons\n",
+    "products_groups.loc[products_groups[['id','pricing_formula_id','representation_id']].duplicated(keep=False),:]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5312ac13-8fbd-4c3f-a98a-8c28f079a599",
+   "metadata": {},
+   "source": [
+    "## III.pricing_formulas"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "3383a773-0817-4b23-84e7-8d5d0c74b179",
+   "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>created_at</th>\n",
+       "      <th>updated_at</th>\n",
+       "      <th>extra_field</th>\n",
+       "      <th>identifier</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>41909</td>\n",
+       "      <td>visite mécènes 1h30</td>\n",
+       "      <td>2022-07-08 07:08:26.802266+02:00</td>\n",
+       "      <td>2022-07-08 07:08:26.802266+02:00</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>21d4b0043c12b21952b0797d140991a1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>502</td>\n",
+       "      <td>entree mucem tp( expo picasso)</td>\n",
+       "      <td>2020-09-03 13:43:59.816765+02:00</td>\n",
+       "      <td>2022-02-18 15:57:55.792581+01:00</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>223b09e6c3f1f75dbf8df019af97a555</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>504</td>\n",
+       "      <td>nombre de personnes cinema</td>\n",
+       "      <td>2020-09-03 13:43:59.818198+02:00</td>\n",
+       "      <td>2021-01-25 19:16:05.187114+01:00</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>ba33b7b6d225a75d713a356b49c4d915</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>117</td>\n",
+       "      <td>spectacle tarif e famille tr</td>\n",
+       "      <td>2020-09-03 13:21:21.400249+02:00</td>\n",
+       "      <td>2023-03-13 11:30:29.525335+01:00</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>a00b61ad933518856f86e63ca91a5750</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1496</td>\n",
+       "      <td>billet nb famille mecene 1a</td>\n",
+       "      <td>2020-09-03 14:29:33.320952+02:00</td>\n",
+       "      <td>2021-01-25 19:23:06.816402+01:00</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>7f6013803c242253a5ccde80f780984f</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>551</th>\n",
+       "      <td>529</td>\n",
+       "      <td>billet nb expo gr</td>\n",
+       "      <td>2020-09-03 13:43:59.835944+02:00</td>\n",
+       "      <td>2022-02-18 15:57:55.792581+01:00</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>7d888e42abe101fc8b21dc88948c8b74</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>552</th>\n",
+       "      <td>3153</td>\n",
+       "      <td>nb pers visite scolaire rep</td>\n",
+       "      <td>2020-09-03 16:32:37.068864+02:00</td>\n",
+       "      <td>2022-02-18 15:57:55.792581+01:00</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>3cf21731c25eee650d5b232ee4780563</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>553</th>\n",
+       "      <td>5847</td>\n",
+       "      <td>visite scolaire rep1h00</td>\n",
+       "      <td>2021-06-09 18:10:49.742531+02:00</td>\n",
+       "      <td>2022-02-18 15:55:03.576236+01:00</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>a7bb5a6892d55f0d5ee4ce5786ae5fc6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>554</th>\n",
+       "      <td>5840</td>\n",
+       "      <td>france billet - entree ts</td>\n",
+       "      <td>2021-06-09 18:10:49.737576+02:00</td>\n",
+       "      <td>2022-02-18 16:16:00.199543+01:00</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>4c53016fc65847646f600eff853593e5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>555</th>\n",
+       "      <td>5863</td>\n",
+       "      <td>france billet - entree tp</td>\n",
+       "      <td>2021-06-09 18:12:49.269924+02:00</td>\n",
+       "      <td>2022-02-18 16:16:00.199543+01:00</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>90e642c0e1ef6bc9f2bc43089798de00</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>556 rows × 6 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        id                            name                        created_at  \\\n",
+       "0    41909             visite mécènes 1h30  2022-07-08 07:08:26.802266+02:00   \n",
+       "1      502  entree mucem tp( expo picasso)  2020-09-03 13:43:59.816765+02:00   \n",
+       "2      504      nombre de personnes cinema  2020-09-03 13:43:59.818198+02:00   \n",
+       "3      117    spectacle tarif e famille tr  2020-09-03 13:21:21.400249+02:00   \n",
+       "4     1496     billet nb famille mecene 1a  2020-09-03 14:29:33.320952+02:00   \n",
+       "..     ...                             ...                               ...   \n",
+       "551    529               billet nb expo gr  2020-09-03 13:43:59.835944+02:00   \n",
+       "552   3153     nb pers visite scolaire rep  2020-09-03 16:32:37.068864+02:00   \n",
+       "553   5847         visite scolaire rep1h00  2021-06-09 18:10:49.742531+02:00   \n",
+       "554   5840       france billet - entree ts  2021-06-09 18:10:49.737576+02:00   \n",
+       "555   5863       france billet - entree tp  2021-06-09 18:12:49.269924+02:00   \n",
+       "\n",
+       "                           updated_at  extra_field  \\\n",
+       "0    2022-07-08 07:08:26.802266+02:00          NaN   \n",
+       "1    2022-02-18 15:57:55.792581+01:00          NaN   \n",
+       "2    2021-01-25 19:16:05.187114+01:00          NaN   \n",
+       "3    2023-03-13 11:30:29.525335+01:00          NaN   \n",
+       "4    2021-01-25 19:23:06.816402+01:00          NaN   \n",
+       "..                                ...          ...   \n",
+       "551  2022-02-18 15:57:55.792581+01:00          NaN   \n",
+       "552  2022-02-18 15:57:55.792581+01:00          NaN   \n",
+       "553  2022-02-18 15:55:03.576236+01:00          NaN   \n",
+       "554  2022-02-18 16:16:00.199543+01:00          NaN   \n",
+       "555  2022-02-18 16:16:00.199543+01:00          NaN   \n",
+       "\n",
+       "                           identifier  \n",
+       "0    21d4b0043c12b21952b0797d140991a1  \n",
+       "1    223b09e6c3f1f75dbf8df019af97a555  \n",
+       "2    ba33b7b6d225a75d713a356b49c4d915  \n",
+       "3    a00b61ad933518856f86e63ca91a5750  \n",
+       "4    7f6013803c242253a5ccde80f780984f  \n",
+       "..                                ...  \n",
+       "551  7d888e42abe101fc8b21dc88948c8b74  \n",
+       "552  3cf21731c25eee650d5b232ee4780563  \n",
+       "553  a7bb5a6892d55f0d5ee4ce5786ae5fc6  \n",
+       "554  4c53016fc65847646f600eff853593e5  \n",
+       "555  90e642c0e1ef6bc9f2bc43089798de00  \n",
+       "\n",
+       "[556 rows x 6 columns]"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pricing_formulas"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "id": "d8130c73-6c5f-45b1-93ae-db7679c8ca56",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "id             0.0\n",
+       "name           0.0\n",
+       "created_at     0.0\n",
+       "updated_at     0.0\n",
+       "extra_field    1.0\n",
+       "identifier     0.0\n",
+       "dtype: float64"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#detection des Nan \n",
+    "\n",
+    "pricing_formulas.isna().sum()/pricing_formulas.shape[0]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "44f1dbfd-c3cf-464b-9877-f37fcc61da92",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "id               int64\n",
+       "name            object\n",
+       "created_at      object\n",
+       "updated_at      object\n",
+       "extra_field    float64\n",
+       "identifier      object\n",
+       "dtype: object"
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#type des variables\n",
+    "\n",
+    "pricing_formulas.dtypes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "6784b41b-da74-4fae-832e-16641ae710c1",
+   "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>created_at</th>\n",
+       "      <th>updated_at</th>\n",
+       "      <th>extra_field</th>\n",
+       "      <th>identifier</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "Empty DataFrame\n",
+       "Columns: [id, name, created_at, updated_at, extra_field, identifier]\n",
+       "Index: []"
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Identification des doublons\n",
+    "pricing_formulas.loc[pricing_formulas[['id']].duplicated(keep=False),:]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2145b0a4-b73d-4530-8c12-a78b1cf86eae",
+   "metadata": {},
+   "source": [
+    "## IV. product_packs"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "id": "e36b07a7-4f0b-4711-86a0-12a1d8158eef",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "id            0.0\n",
+       "name          1.0\n",
+       "type_of       0.0\n",
+       "created_at    0.0\n",
+       "updated_at    0.0\n",
+       "identifier    0.0\n",
+       "dtype: float64"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#detection des Nan \n",
+    "\n",
+    "product_packs.isna().sum()/product_packs.shape[0]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "id": "8707396a-f86b-476d-a9f9-c39f8de1d02e",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "id              int64\n",
+       "name          float64\n",
+       "type_of         int64\n",
+       "created_at     object\n",
+       "updated_at     object\n",
+       "identifier     object\n",
+       "dtype: object"
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#type des variables\n",
+    "\n",
+    "product_packs.dtypes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "id": "4b102bd3-924b-43da-8915-be7664c23f97",
+   "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>type_of</th>\n",
+       "      <th>created_at</th>\n",
+       "      <th>updated_at</th>\n",
+       "      <th>identifier</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "Empty DataFrame\n",
+       "Columns: [id, name, type_of, created_at, updated_at, identifier]\n",
+       "Index: []"
+      ]
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Identification des doublons\n",
+    "product_packs.loc[product_packs[['id']].duplicated(keep=False),:]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "cfe0c525-896b-4731-b38e-306ff6ea0c65",
+   "metadata": {},
+   "source": [
+    "## V.products"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "id": "968beb24-f70c-4eb6-8b1e-4b04bc7fe9c9",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "id                    0.0\n",
+       "amount                0.0\n",
+       "is_full_price         0.0\n",
+       "representation_id     0.0\n",
+       "pricing_formula_id    0.0\n",
+       "created_at            0.0\n",
+       "updated_at            0.0\n",
+       "category_id           0.0\n",
+       "apply_price           0.0\n",
+       "products_group_id     0.0\n",
+       "product_pack_id       0.0\n",
+       "extra_field           1.0\n",
+       "amount_consumption    1.0\n",
+       "identifier            0.0\n",
+       "dtype: float64"
+      ]
+     },
+     "execution_count": 28,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#detection des Nan \n",
+    "\n",
+    "products.isna().sum()/products.shape[0]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "id": "15bc6ac6-67e8-4e2c-9641-7ee8bb2581a3",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "id                      int64\n",
+       "amount                float64\n",
+       "is_full_price            bool\n",
+       "representation_id       int64\n",
+       "pricing_formula_id      int64\n",
+       "created_at             object\n",
+       "updated_at             object\n",
+       "category_id             int64\n",
+       "apply_price           float64\n",
+       "products_group_id       int64\n",
+       "product_pack_id         int64\n",
+       "extra_field           float64\n",
+       "amount_consumption    float64\n",
+       "identifier             object\n",
+       "dtype: object"
+      ]
+     },
+     "execution_count": 29,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#type des variables\n",
+    "\n",
+    "products.dtypes"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "46aad10f-8530-410e-872b-bb253c553a46",
+   "metadata": {},
+   "source": [
+    "# jointure entre les bases"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "57298669-8d55-40d5-a5aa-4c5df984eec7",
+   "id": "eac537e1-bbad-45bc-a85c-12b675da1088",
    "metadata": {},
    "outputs": [],
    "source": []