diff --git a/Sport/Descriptive_statistics/stat_desc_sport.ipynb b/Sport/Descriptive_statistics/stat_desc_sport.ipynb
index 981fe1c..f48a127 100644
--- a/Sport/Descriptive_statistics/stat_desc_sport.ipynb
+++ b/Sport/Descriptive_statistics/stat_desc_sport.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 6,
    "id": "dd143b00-1989-44cf-8558-a30087d17f70",
    "metadata": {},
    "outputs": [],
@@ -18,7 +18,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 2,
    "id": "08c63120-1b56-4145-9014-18a637b22876",
    "metadata": {},
    "outputs": [],
@@ -28,7 +28,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 3,
    "id": "f8bd679d-fa76-49d4-9ec1-9f15516f16d3",
    "metadata": {},
    "outputs": [],
@@ -55,7 +55,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 7,
    "id": "945c59bb-05b4-4f21-82f0-0db40d7957b3",
    "metadata": {},
    "outputs": [],
@@ -67,7 +67,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 5,
    "id": "41a67995-0a08-45c0-bbad-6e6cee5474c8",
    "metadata": {},
    "outputs": [
@@ -159,7 +159,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 6,
    "id": "c4d4b2ad-8a3c-477b-bc52-dd4860527bfe",
    "metadata": {},
    "outputs": [
@@ -169,7 +169,7 @@
        "array([5, 6, 7, 8, 9])"
       ]
      },
-     "execution_count": 36,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -181,7 +181,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 7,
    "id": "97a9e235-1c04-46bf-9f3c-5496e141cc40",
    "metadata": {},
    "outputs": [],
@@ -220,7 +220,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 8,
    "id": "770cd3fc-bfe2-4a69-89bc-0eb946311130",
    "metadata": {},
    "outputs": [
@@ -230,7 +230,7 @@
        "['5_191835', '6_591412', '7_49632', '8_1942', '9_19683']"
       ]
      },
-     "execution_count": 38,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -242,7 +242,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 9,
    "id": "70b6e961-c303-465e-93f4-609721d38454",
    "metadata": {},
    "outputs": [
@@ -274,7 +274,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 10,
    "id": "b54b920a-7b46-490f-ba7e-d1859055a4e3",
    "metadata": {},
    "outputs": [
@@ -310,6 +310,7 @@
        "      <th>gender</th>\n",
        "      <th>is_email_true</th>\n",
        "      <th>...</th>\n",
+       "      <th>total_price</th>\n",
        "      <th>purchase_count</th>\n",
        "      <th>first_buying_date</th>\n",
        "      <th>country</th>\n",
@@ -318,7 +319,6 @@
        "      <th>gender_male</th>\n",
        "      <th>gender_other</th>\n",
        "      <th>country_fr</th>\n",
-       "      <th>has_tags</th>\n",
        "      <th>number_company</th>\n",
        "    </tr>\n",
        "  </thead>\n",
@@ -336,6 +336,7 @@
        "      <td>2</td>\n",
        "      <td>True</td>\n",
        "      <td>...</td>\n",
+       "      <td>0.0</td>\n",
        "      <td>0</td>\n",
        "      <td>NaN</td>\n",
        "      <td>af</td>\n",
@@ -344,7 +345,6 @@
        "      <td>0</td>\n",
        "      <td>1</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0</td>\n",
        "      <td>5</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -360,6 +360,7 @@
        "      <td>2</td>\n",
        "      <td>True</td>\n",
        "      <td>...</td>\n",
+       "      <td>0.0</td>\n",
        "      <td>0</td>\n",
        "      <td>NaN</td>\n",
        "      <td>af</td>\n",
@@ -368,7 +369,6 @@
        "      <td>0</td>\n",
        "      <td>1</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0</td>\n",
        "      <td>5</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -384,6 +384,7 @@
        "      <td>2</td>\n",
        "      <td>True</td>\n",
        "      <td>...</td>\n",
+       "      <td>0.0</td>\n",
        "      <td>0</td>\n",
        "      <td>NaN</td>\n",
        "      <td>af</td>\n",
@@ -392,7 +393,6 @@
        "      <td>0</td>\n",
        "      <td>1</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0</td>\n",
        "      <td>5</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -408,6 +408,7 @@
        "      <td>2</td>\n",
        "      <td>True</td>\n",
        "      <td>...</td>\n",
+       "      <td>0.0</td>\n",
        "      <td>0</td>\n",
        "      <td>NaN</td>\n",
        "      <td>af</td>\n",
@@ -416,7 +417,6 @@
        "      <td>0</td>\n",
        "      <td>1</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0</td>\n",
        "      <td>5</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -432,6 +432,7 @@
        "      <td>0</td>\n",
        "      <td>True</td>\n",
        "      <td>...</td>\n",
+       "      <td>NaN</td>\n",
        "      <td>0</td>\n",
        "      <td>NaN</td>\n",
        "      <td>fr</td>\n",
@@ -440,12 +441,11 @@
        "      <td>0</td>\n",
        "      <td>0</td>\n",
        "      <td>1.0</td>\n",
-       "      <td>0</td>\n",
        "      <td>5</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>5 rows × 29 columns</p>\n",
+       "<p>5 rows × 28 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
@@ -456,31 +456,31 @@
        "3   5_6062404    1372685           NaN             NaN         0       1771   \n",
        "4    5_250217      78785           NaN         11035.0         0       1771   \n",
        "\n",
-       "   is_partner  deleted_at  gender  is_email_true  ...  purchase_count  \\\n",
-       "0       False         NaN       2           True  ...               0   \n",
-       "1       False         NaN       2           True  ...               0   \n",
-       "2       False         NaN       2           True  ...               0   \n",
-       "3       False         NaN       2           True  ...               0   \n",
-       "4       False         NaN       0           True  ...               0   \n",
+       "   is_partner  deleted_at  gender  is_email_true  ...  total_price  \\\n",
+       "0       False         NaN       2           True  ...          0.0   \n",
+       "1       False         NaN       2           True  ...          0.0   \n",
+       "2       False         NaN       2           True  ...          0.0   \n",
+       "3       False         NaN       2           True  ...          0.0   \n",
+       "4       False         NaN       0           True  ...          NaN   \n",
        "\n",
-       "  first_buying_date  country  gender_label  gender_female  gender_male  \\\n",
-       "0               NaN       af         other              0            0   \n",
-       "1               NaN       af         other              0            0   \n",
-       "2               NaN       af         other              0            0   \n",
-       "3               NaN       af         other              0            0   \n",
-       "4               NaN       fr        female              1            0   \n",
+       "  purchase_count  first_buying_date  country  gender_label  gender_female  \\\n",
+       "0              0                NaN       af         other              0   \n",
+       "1              0                NaN       af         other              0   \n",
+       "2              0                NaN       af         other              0   \n",
+       "3              0                NaN       af         other              0   \n",
+       "4              0                NaN       fr        female              1   \n",
        "\n",
-       "   gender_other  country_fr  has_tags  number_company  \n",
-       "0             1         0.0         0               5  \n",
-       "1             1         0.0         0               5  \n",
-       "2             1         0.0         0               5  \n",
-       "3             1         0.0         0               5  \n",
-       "4             0         1.0         0               5  \n",
+       "   gender_male  gender_other  country_fr  number_company  \n",
+       "0            0             1         0.0               5  \n",
+       "1            0             1         0.0               5  \n",
+       "2            0             1         0.0               5  \n",
+       "3            0             1         0.0               5  \n",
+       "4            0             0         1.0               5  \n",
        "\n",
-       "[5 rows x 29 columns]"
+       "[5 rows x 28 columns]"
       ]
      },
-     "execution_count": 40,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -499,7 +499,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": 11,
    "id": "eec1ac0b-2502-452b-97e6-69ffb77156d6",
    "metadata": {},
    "outputs": [],
@@ -519,13 +519,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
+   "execution_count": 12,
    "id": "db4494e7-6f65-4f7e-bf8c-8ec321d0b02d",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -540,7 +540,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 47,
+   "execution_count": 13,
    "id": "a12a59a0-edfe-4e52-8037-9b875f823b33",
    "metadata": {},
    "outputs": [],
@@ -561,13 +561,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 48,
+   "execution_count": 14,
    "id": "2c7c2d26-4e35-4163-b771-fa4d3e8ca83e",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -582,7 +582,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 49,
+   "execution_count": 15,
    "id": "597d4361-8beb-43f4-9224-8f7dc34b187c",
    "metadata": {},
    "outputs": [
@@ -703,7 +703,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 50,
+   "execution_count": 16,
    "id": "5058d3c9-73a0-4e01-881e-4d2423f0d291",
    "metadata": {},
    "outputs": [],
@@ -713,7 +713,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 52,
+   "execution_count": 17,
    "id": "848963c9-6129-4106-80b5-76bf814b70d1",
    "metadata": {},
    "outputs": [],
@@ -752,7 +752,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 54,
+   "execution_count": 18,
    "id": "b78ef715-c645-4625-a128-4f5b49e5339d",
    "metadata": {},
    "outputs": [
@@ -773,7 +773,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 56,
+   "execution_count": 19,
    "id": "d8071891-e6f5-4d93-b039-9e99c20ec4b0",
    "metadata": {},
    "outputs": [],
@@ -798,13 +798,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 57,
+   "execution_count": 20,
    "id": "2fc30f1d-cf64-4efb-9442-4d97bb50b29f",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -819,7 +819,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 62,
+   "execution_count": 21,
    "id": "4b3bb641-814b-4679-9a67-4eca87a920a6",
    "metadata": {},
    "outputs": [],
@@ -840,13 +840,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 63,
+   "execution_count": 22,
    "id": "01258674-6b98-49e4-93f4-f4185964999f",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -869,7 +869,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 66,
+   "execution_count": 23,
    "id": "8d116e34-cdd6-4ef9-8622-474da79f79ef",
    "metadata": {},
    "outputs": [
@@ -891,7 +891,7 @@
        "dtype: int64"
       ]
      },
-     "execution_count": 66,
+     "execution_count": 23,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -903,7 +903,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 72,
+   "execution_count": 24,
    "id": "724d3c33-c219-4212-b8b6-dd78481674cb",
    "metadata": {},
    "outputs": [],
@@ -927,7 +927,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 73,
+   "execution_count": 25,
    "id": "e513f308-3a9c-40ed-99d5-ed420bd67384",
    "metadata": {},
    "outputs": [
@@ -945,6 +945,469 @@
    "source": [
     "lazy_customer_plot(campaigns_sport)"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "038423ec-d095-4297-8ea8-42d205da510b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "264dd0f3-721b-4ddb-9e7c-0d21c6c0ddeb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def display_databases(directory_path, file_name):\n",
+    "    \"\"\"\n",
+    "    This function returns the file from s3 storage \n",
+    "    \"\"\"\n",
+    "    file_path = \"projet-bdc2324-team1\" + \"/Generalization/\" + directory_path + \"/\" + file_name + \".csv\"\n",
+    "    print(\"File path : \", file_path)\n",
+    "    with fs.open(file_path, mode=\"rb\") as file_in:\n",
+    "        df = pd.read_csv(file_in, sep=\",\")        \n",
+    "    return df "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "f0cfdd97-5ba2-4209-b827-d10ef0e80262",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "File path :  projet-bdc2324-team1/Generalization/musique/Test_set.csv\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/tmp/ipykernel_439/3124665301.py:8: DtypeWarning: Columns (20,29,39) have mixed types. Specify dtype option on import or set low_memory=False.\n",
+      "  df = pd.read_csv(file_in, sep=\",\")\n"
+     ]
+    },
+    {
+     "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>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>...</th>\n",
+       "      <th>gender_label</th>\n",
+       "      <th>gender_female</th>\n",
+       "      <th>gender_male</th>\n",
+       "      <th>gender_other</th>\n",
+       "      <th>country_fr</th>\n",
+       "      <th>has_tags</th>\n",
+       "      <th>nb_campaigns</th>\n",
+       "      <th>nb_campaigns_opened</th>\n",
+       "      <th>time_to_open</th>\n",
+       "      <th>y_has_purchased</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>10_1</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>other</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>10_2</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>other</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>10_3</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>other</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>10_4</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>other</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>10_5</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>other</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</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>1523683</th>\n",
+       "      <td>14_6884748</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>male</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1523684</th>\n",
+       "      <td>14_6884749</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>male</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1523685</th>\n",
+       "      <td>14_6884750</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>male</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1523686</th>\n",
+       "      <td>14_6884751</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>female</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1523687</th>\n",
+       "      <td>14_6884753</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>male</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1523688 rows × 41 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        customer_id  nb_tickets  nb_purchases  total_amount  nb_suppliers  \\\n",
+       "0              10_1         0.0           0.0           0.0           0.0   \n",
+       "1              10_2         0.0           0.0           0.0           0.0   \n",
+       "2              10_3         0.0           0.0           0.0           0.0   \n",
+       "3              10_4         0.0           0.0           0.0           0.0   \n",
+       "4              10_5         0.0           0.0           0.0           0.0   \n",
+       "...             ...         ...           ...           ...           ...   \n",
+       "1523683  14_6884748         0.0           0.0           0.0           0.0   \n",
+       "1523684  14_6884749         0.0           0.0           0.0           0.0   \n",
+       "1523685  14_6884750         0.0           0.0           0.0           0.0   \n",
+       "1523686  14_6884751         0.0           0.0           0.0           0.0   \n",
+       "1523687  14_6884753         0.0           0.0           0.0           0.0   \n",
+       "\n",
+       "         vente_internet_max  purchase_date_min  purchase_date_max  \\\n",
+       "0                       0.0                NaN                NaN   \n",
+       "1                       0.0                NaN                NaN   \n",
+       "2                       0.0                NaN                NaN   \n",
+       "3                       0.0                NaN                NaN   \n",
+       "4                       0.0                NaN                NaN   \n",
+       "...                     ...                ...                ...   \n",
+       "1523683                 0.0                NaN                NaN   \n",
+       "1523684                 0.0                NaN                NaN   \n",
+       "1523685                 0.0                NaN                NaN   \n",
+       "1523686                 0.0                NaN                NaN   \n",
+       "1523687                 0.0                NaN                NaN   \n",
+       "\n",
+       "         time_between_purchase  nb_tickets_internet  ...  gender_label  \\\n",
+       "0                          NaN                  0.0  ...         other   \n",
+       "1                          NaN                  0.0  ...         other   \n",
+       "2                          NaN                  0.0  ...         other   \n",
+       "3                          NaN                  0.0  ...         other   \n",
+       "4                          NaN                  0.0  ...         other   \n",
+       "...                        ...                  ...  ...           ...   \n",
+       "1523683                    NaN                  0.0  ...          male   \n",
+       "1523684                    NaN                  0.0  ...          male   \n",
+       "1523685                    NaN                  0.0  ...          male   \n",
+       "1523686                    NaN                  0.0  ...        female   \n",
+       "1523687                    NaN                  0.0  ...          male   \n",
+       "\n",
+       "         gender_female  gender_male  gender_other  country_fr  has_tags  \\\n",
+       "0                    0            0             1         NaN         0   \n",
+       "1                    0            0             1         NaN         0   \n",
+       "2                    0            0             1         NaN         0   \n",
+       "3                    0            0             1         NaN         0   \n",
+       "4                    0            0             1         NaN         0   \n",
+       "...                ...          ...           ...         ...       ...   \n",
+       "1523683              0            1             0         1.0         0   \n",
+       "1523684              0            1             0         1.0         0   \n",
+       "1523685              0            1             0         1.0         0   \n",
+       "1523686              1            0             0         1.0         0   \n",
+       "1523687              0            1             0         1.0         0   \n",
+       "\n",
+       "         nb_campaigns  nb_campaigns_opened  time_to_open  y_has_purchased  \n",
+       "0                 0.0                  0.0           NaN              NaN  \n",
+       "1                 0.0                  0.0           NaN              NaN  \n",
+       "2                 0.0                  0.0           NaN              NaN  \n",
+       "3                 0.0                  0.0           NaN              NaN  \n",
+       "4                 0.0                  0.0           NaN              NaN  \n",
+       "...               ...                  ...           ...              ...  \n",
+       "1523683           0.0                  0.0           NaN              NaN  \n",
+       "1523684           0.0                  0.0           NaN              NaN  \n",
+       "1523685           0.0                  0.0           NaN              NaN  \n",
+       "1523686           0.0                  0.0           NaN              NaN  \n",
+       "1523687           0.0                  0.0           NaN              NaN  \n",
+       "\n",
+       "[1523688 rows x 41 columns]"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "train = display_databases('musique', 'Test_set')\n",
+    "train"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "b6a6feb7-2557-4932-8038-24cd9b363665",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([nan])"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "train['y_has_purchased'].unique()"
+   ]
   }
  ],
  "metadata": {
diff --git a/Sport/exploration_sport.ipynb b/Sport/exploration_sport.ipynb
index e28c5f2..b60be94 100644
--- a/Sport/exploration_sport.ipynb
+++ b/Sport/exploration_sport.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 114,
+   "execution_count": 1,
    "id": "314bf34b-1f6d-4a99-8f82-aa71ebacdabc",
    "metadata": {},
    "outputs": [],
@@ -19,7 +19,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 2,
    "id": "a276822a-c389-429e-b249-8a9e47758bfc",
    "metadata": {},
    "outputs": [],
@@ -30,7 +30,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 3,
    "id": "f62b996c-4e17-40ea-83ba-f0cb60be7671",
    "metadata": {},
    "outputs": [
@@ -54,7 +54,7 @@
        " 'bdc2324-data/9']"
       ]
      },
-     "execution_count": 34,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -822,12 +822,33 @@
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "f086a8dc-69ab-4cf3-b25e-379d7da02f43",
+   "cell_type": "markdown",
+   "id": "99a75c34-f393-433a-b3c2-dc3f6f2f3e7e",
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "source": [
+    "## Investigate train and test"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "970302f5-4de2-46b4-a1ce-a5396f5330ab",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<s3fs.core.S3FileSystem at 0x7fb4069d9790>"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "fs("
+   ]
   }
  ],
  "metadata": {