diff --git a/Spectacle/Stat_desc.ipynb b/Spectacle/Stat_desc.ipynb
new file mode 100644
index 0000000..42b5ca5
--- /dev/null
+++ b/Spectacle/Stat_desc.ipynb
@@ -0,0 +1,122 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "aa915888-cede-4eb0-8a26-7df573d29a3e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import os\n",
+    "import s3fs\n",
+    "import warnings\n",
+    "from datetime import date, timedelta, datetime\n",
+    "import numpy as np"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "17949e81-c30b-4fdf-9872-d7dc2b22ba9e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Import KPI construction functions\n",
+    "#exec(open('0_KPI_functions.py').read())\n",
+    "exec(open('../0_KPI_functions.py').read())\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "9c1737a2-bad8-4266-8dec-452085d8cfe7",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['projet-bdc2324-team1/0_Input/Company_10/campaigns_information.csv',\n",
+       " 'projet-bdc2324-team1/0_Input/Company_10/customerplus_cleaned.csv',\n",
+       " 'projet-bdc2324-team1/0_Input/Company_10/products_purchased_reduced.csv',\n",
+       " 'projet-bdc2324-team1/0_Input/Company_10/target_information.csv']"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Create filesystem object\n",
+    "S3_ENDPOINT_URL = \"https://\" + os.environ[\"AWS_S3_ENDPOINT\"]\n",
+    "fs = s3fs.S3FileSystem(client_kwargs={'endpoint_url': S3_ENDPOINT_URL})\n",
+    "\n",
+    "BUCKET = \"projet-bdc2324-team1/0_Input/Company_10\"\n",
+    "fs.ls(BUCKET)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "a35dc2f6-2017-4b21-abd2-2c4c112c96b2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dic_base=['campaigns_information','customerplus_cleaned','products_purchased_reduced','target_information']\n",
+    "for nom_base in dic_base:\n",
+    "    FILE_PATH_S3_fanta = 'projet-bdc2324-team1/0_Input/Company_10/' + nom_base + '.csv'\n",
+    "    with fs.open(FILE_PATH_S3_fanta, mode=\"rb\") as file_in:\n",
+    "        globals()[nom_base] = pd.read_csv(file_in, sep=\",\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "40b705eb-fd18-436b-b150-61611a3c6a84",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "def display_databases(directory_path, file_name, datetime_col = None):\n",
+    "    \"\"\"\n",
+    "    This function returns the file from s3 storage \n",
+    "    \"\"\"\n",
+    "    file_path = \"projet-bdc2324-team1\" + \"/0_Input/Company_\" + 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=\",\", parse_dates = datetime_col, date_parser=custom_date_parser)        \n",
+    "    return df \n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e56aa16f-a167-4bff-9f8b-f764d1f28ebd",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}