2024-01-10 19:19:51 +01:00
|
|
|
|
{
|
|
|
|
|
|
"cells": [
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "markdown",
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"id": "5bf5c226",
|
2024-01-10 19:19:51 +01:00
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"source": [
|
|
|
|
|
|
"# Business Data Challenge - Team 1"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
2024-02-25 23:53:10 +01:00
|
|
|
|
"execution_count": 2,
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"id": "b1a5b9d3",
|
2024-01-10 19:19:51 +01:00
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"outputs": [],
|
|
|
|
|
|
"source": [
|
|
|
|
|
|
"import pandas as pd\n",
|
2024-01-13 10:38:10 +01:00
|
|
|
|
"import numpy as np\n",
|
|
|
|
|
|
"import os\n",
|
|
|
|
|
|
"import s3fs\n",
|
2024-02-25 23:53:10 +01:00
|
|
|
|
"import re\n",
|
|
|
|
|
|
"import warnings"
|
2024-01-10 19:19:51 +01:00
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "markdown",
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"id": "ecfa2219",
|
2024-01-10 19:19:51 +01:00
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"source": [
|
|
|
|
|
|
"Configuration de l'accès aux données"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
2024-02-25 23:53:10 +01:00
|
|
|
|
"execution_count": 3,
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"id": "1a094277",
|
2024-01-10 19:19:51 +01:00
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"outputs": [],
|
|
|
|
|
|
"source": [
|
|
|
|
|
|
"# Create filesystem object\n",
|
|
|
|
|
|
"S3_ENDPOINT_URL = \"https://\" + os.environ[\"AWS_S3_ENDPOINT\"]\n",
|
2024-01-13 10:38:10 +01:00
|
|
|
|
"fs = s3fs.S3FileSystem(client_kwargs={'endpoint_url': S3_ENDPOINT_URL})"
|
2024-01-10 19:19:51 +01:00
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "markdown",
|
2024-02-25 18:33:24 +01:00
|
|
|
|
"id": "0294ce71-840e-458b-8ffa-cadabbc6da21",
|
|
|
|
|
|
"metadata": {
|
|
|
|
|
|
"jp-MarkdownHeadingCollapsed": true
|
|
|
|
|
|
},
|
|
|
|
|
|
"source": [
|
|
|
|
|
|
"# Debut Travail 25/02"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
2024-02-25 23:53:10 +01:00
|
|
|
|
"execution_count": 4,
|
2024-02-25 18:33:24 +01:00
|
|
|
|
"id": "30d77451-2df6-4c07-8b15-66e0e990ff03",
|
|
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"outputs": [],
|
|
|
|
|
|
"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",
|
|
|
|
|
|
"\n",
|
|
|
|
|
|
"# Import cleaning and merge functions\n",
|
|
|
|
|
|
"exec(open('0_KPI_functions.py').read())\n",
|
|
|
|
|
|
"\n",
|
|
|
|
|
|
"# Ignore warning\n",
|
|
|
|
|
|
"warnings.filterwarnings('ignore')\n"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
2024-02-25 23:53:10 +01:00
|
|
|
|
"execution_count": 5,
|
2024-02-25 18:33:24 +01:00
|
|
|
|
"id": "f1b44d3e-76bb-4860-b9db-a2840db7cf39",
|
|
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"outputs": [],
|
|
|
|
|
|
"source": [
|
|
|
|
|
|
"def load_dataset_2(directory_path, file_name):\n",
|
|
|
|
|
|
" \"\"\"\n",
|
|
|
|
|
|
" This function loads csv file\n",
|
|
|
|
|
|
" \"\"\"\n",
|
|
|
|
|
|
" file_path = \"bdc2324-data\" + \"/\" + directory_path + \"/\" + directory_path + file_name + \".csv\"\n",
|
|
|
|
|
|
" with fs.open(file_path, mode=\"rb\") as file_in:\n",
|
|
|
|
|
|
" df = pd.read_csv(file_in, sep=\",\")\n",
|
|
|
|
|
|
"\n",
|
|
|
|
|
|
" # drop na :\n",
|
|
|
|
|
|
" #df = df.dropna(axis=1, thresh=len(df))\n",
|
|
|
|
|
|
" # if identifier in table : delete it\n",
|
|
|
|
|
|
" if 'identifier' in df.columns:\n",
|
|
|
|
|
|
" df = df.drop(columns = 'identifier')\n",
|
|
|
|
|
|
" return df"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
2024-02-25 23:53:10 +01:00
|
|
|
|
"execution_count": 7,
|
2024-02-25 18:33:24 +01:00
|
|
|
|
"id": "35da2e15-1e23-4653-a214-c6ff8f186e85",
|
|
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"outputs": [
|
|
|
|
|
|
{
|
|
|
|
|
|
"name": "stdout",
|
|
|
|
|
|
"output_type": "stream",
|
|
|
|
|
|
"text": [
|
2024-02-25 23:53:10 +01:00
|
|
|
|
"File path : projet-bdc2324-team1/0_Input/Company_4/customerplus_cleaned.csv\n"
|
2024-02-25 18:33:24 +01:00
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"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>street_id</th>\n",
|
|
|
|
|
|
" <th>structure_id</th>\n",
|
|
|
|
|
|
" <th>mcp_contact_id</th>\n",
|
|
|
|
|
|
" <th>fidelity</th>\n",
|
|
|
|
|
|
" <th>tenant_id</th>\n",
|
|
|
|
|
|
" <th>is_partner</th>\n",
|
|
|
|
|
|
" <th>deleted_at</th>\n",
|
|
|
|
|
|
" <th>gender</th>\n",
|
|
|
|
|
|
" <th>is_email_true</th>\n",
|
|
|
|
|
|
" <th>...</th>\n",
|
|
|
|
|
|
" <th>max_price</th>\n",
|
|
|
|
|
|
" <th>ticket_sum</th>\n",
|
|
|
|
|
|
" <th>average_price</th>\n",
|
|
|
|
|
|
" <th>average_purchase_delay</th>\n",
|
|
|
|
|
|
" <th>average_price_basket</th>\n",
|
|
|
|
|
|
" <th>average_ticket_basket</th>\n",
|
|
|
|
|
|
" <th>total_price</th>\n",
|
|
|
|
|
|
" <th>purchase_count</th>\n",
|
|
|
|
|
|
" <th>first_buying_date</th>\n",
|
|
|
|
|
|
" <th>country</th>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" </thead>\n",
|
|
|
|
|
|
" <tbody>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>0</th>\n",
|
2024-02-25 23:53:10 +01:00
|
|
|
|
" <td>479734</td>\n",
|
|
|
|
|
|
" <td>3587</td>\n",
|
2024-02-25 18:33:24 +01:00
|
|
|
|
" <td>NaN</td>\n",
|
2024-02-25 23:53:10 +01:00
|
|
|
|
" <td>184801.0</td>\n",
|
2024-02-25 18:33:24 +01:00
|
|
|
|
" <td>0</td>\n",
|
2024-02-25 23:53:10 +01:00
|
|
|
|
" <td>1342</td>\n",
|
2024-02-25 18:33:24 +01:00
|
|
|
|
" <td>False</td>\n",
|
|
|
|
|
|
" <td>NaN</td>\n",
|
2024-02-25 23:53:10 +01:00
|
|
|
|
" <td>0</td>\n",
|
2024-02-25 18:33:24 +01:00
|
|
|
|
" <td>True</td>\n",
|
|
|
|
|
|
" <td>...</td>\n",
|
|
|
|
|
|
" <td>NaN</td>\n",
|
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
|
" <td>NaN</td>\n",
|
|
|
|
|
|
" <td>NaN</td>\n",
|
|
|
|
|
|
" <td>NaN</td>\n",
|
|
|
|
|
|
" <td>NaN</td>\n",
|
|
|
|
|
|
" <td>0.0</td>\n",
|
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
|
" <td>NaN</td>\n",
|
2024-02-25 23:53:10 +01:00
|
|
|
|
" <td>fr</td>\n",
|
2024-02-25 18:33:24 +01:00
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>1</th>\n",
|
2024-02-25 23:53:10 +01:00
|
|
|
|
" <td>1537</td>\n",
|
|
|
|
|
|
" <td>1352</td>\n",
|
2024-02-25 18:33:24 +01:00
|
|
|
|
" <td>NaN</td>\n",
|
|
|
|
|
|
" <td>NaN</td>\n",
|
|
|
|
|
|
" <td>0</td>\n",
|
2024-02-25 23:53:10 +01:00
|
|
|
|
" <td>1342</td>\n",
|
2024-02-25 18:33:24 +01:00
|
|
|
|
" <td>False</td>\n",
|
|
|
|
|
|
" <td>NaN</td>\n",
|
2024-02-25 23:53:10 +01:00
|
|
|
|
" <td>0</td>\n",
|
2024-02-25 18:33:24 +01:00
|
|
|
|
" <td>True</td>\n",
|
|
|
|
|
|
" <td>...</td>\n",
|
|
|
|
|
|
" <td>NaN</td>\n",
|
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
|
" <td>NaN</td>\n",
|
|
|
|
|
|
" <td>NaN</td>\n",
|
|
|
|
|
|
" <td>NaN</td>\n",
|
|
|
|
|
|
" <td>NaN</td>\n",
|
|
|
|
|
|
" <td>0.0</td>\n",
|
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
|
" <td>NaN</td>\n",
|
2024-02-25 23:53:10 +01:00
|
|
|
|
" <td>fr</td>\n",
|
2024-02-25 18:33:24 +01:00
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>2</th>\n",
|
2024-02-25 23:53:10 +01:00
|
|
|
|
" <td>504615</td>\n",
|
|
|
|
|
|
" <td>3587</td>\n",
|
2024-02-25 18:33:24 +01:00
|
|
|
|
" <td>NaN</td>\n",
|
2024-02-25 23:53:10 +01:00
|
|
|
|
" <td>152176.0</td>\n",
|
2024-02-25 18:33:24 +01:00
|
|
|
|
" <td>0</td>\n",
|
2024-02-25 23:53:10 +01:00
|
|
|
|
" <td>1342</td>\n",
|
2024-02-25 18:33:24 +01:00
|
|
|
|
" <td>False</td>\n",
|
|
|
|
|
|
" <td>NaN</td>\n",
|
2024-02-25 23:53:10 +01:00
|
|
|
|
" <td>0</td>\n",
|
2024-02-25 18:33:24 +01:00
|
|
|
|
" <td>True</td>\n",
|
|
|
|
|
|
" <td>...</td>\n",
|
|
|
|
|
|
" <td>NaN</td>\n",
|
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
|
" <td>NaN</td>\n",
|
|
|
|
|
|
" <td>NaN</td>\n",
|
|
|
|
|
|
" <td>NaN</td>\n",
|
|
|
|
|
|
" <td>NaN</td>\n",
|
|
|
|
|
|
" <td>0.0</td>\n",
|
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
|
" <td>NaN</td>\n",
|
2024-02-25 23:53:10 +01:00
|
|
|
|
" <td>fr</td>\n",
|
2024-02-25 18:33:24 +01:00
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>3</th>\n",
|
2024-02-25 23:53:10 +01:00
|
|
|
|
" <td>3832780</td>\n",
|
|
|
|
|
|
" <td>3587</td>\n",
|
2024-02-25 18:33:24 +01:00
|
|
|
|
" <td>NaN</td>\n",
|
|
|
|
|
|
" <td>NaN</td>\n",
|
|
|
|
|
|
" <td>0</td>\n",
|
2024-02-25 23:53:10 +01:00
|
|
|
|
" <td>1342</td>\n",
|
2024-02-25 18:33:24 +01:00
|
|
|
|
" <td>False</td>\n",
|
|
|
|
|
|
" <td>NaN</td>\n",
|
|
|
|
|
|
" <td>2</td>\n",
|
|
|
|
|
|
" <td>True</td>\n",
|
|
|
|
|
|
" <td>...</td>\n",
|
|
|
|
|
|
" <td>NaN</td>\n",
|
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
|
" <td>NaN</td>\n",
|
|
|
|
|
|
" <td>NaN</td>\n",
|
|
|
|
|
|
" <td>NaN</td>\n",
|
|
|
|
|
|
" <td>NaN</td>\n",
|
|
|
|
|
|
" <td>0.0</td>\n",
|
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
|
" <td>NaN</td>\n",
|
2024-02-25 23:53:10 +01:00
|
|
|
|
" <td>fr</td>\n",
|
2024-02-25 18:33:24 +01:00
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>4</th>\n",
|
2024-02-25 23:53:10 +01:00
|
|
|
|
" <td>3096540</td>\n",
|
|
|
|
|
|
" <td>3587</td>\n",
|
|
|
|
|
|
" <td>NaN</td>\n",
|
2024-02-25 18:33:24 +01:00
|
|
|
|
" <td>NaN</td>\n",
|
|
|
|
|
|
" <td>0</td>\n",
|
2024-02-25 23:53:10 +01:00
|
|
|
|
" <td>1342</td>\n",
|
2024-02-25 18:33:24 +01:00
|
|
|
|
" <td>False</td>\n",
|
|
|
|
|
|
" <td>NaN</td>\n",
|
2024-02-25 23:53:10 +01:00
|
|
|
|
" <td>2</td>\n",
|
2024-02-25 18:33:24 +01:00
|
|
|
|
" <td>True</td>\n",
|
|
|
|
|
|
" <td>...</td>\n",
|
|
|
|
|
|
" <td>NaN</td>\n",
|
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
|
" <td>NaN</td>\n",
|
|
|
|
|
|
" <td>NaN</td>\n",
|
|
|
|
|
|
" <td>NaN</td>\n",
|
|
|
|
|
|
" <td>NaN</td>\n",
|
2024-02-25 23:53:10 +01:00
|
|
|
|
" <td>0.0</td>\n",
|
2024-02-25 18:33:24 +01:00
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
|
" <td>NaN</td>\n",
|
|
|
|
|
|
" <td>fr</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",
|
2024-02-25 23:53:10 +01:00
|
|
|
|
" <th>320804</th>\n",
|
|
|
|
|
|
" <td>2637745</td>\n",
|
|
|
|
|
|
" <td>406842</td>\n",
|
2024-02-25 18:33:24 +01:00
|
|
|
|
" <td>NaN</td>\n",
|
2024-02-25 23:53:10 +01:00
|
|
|
|
" <td>NaN</td>\n",
|
|
|
|
|
|
" <td>1</td>\n",
|
|
|
|
|
|
" <td>1342</td>\n",
|
2024-02-25 18:33:24 +01:00
|
|
|
|
" <td>False</td>\n",
|
|
|
|
|
|
" <td>NaN</td>\n",
|
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
|
" <td>True</td>\n",
|
|
|
|
|
|
" <td>...</td>\n",
|
|
|
|
|
|
" <td>0.0</td>\n",
|
2024-02-25 23:53:10 +01:00
|
|
|
|
" <td>2</td>\n",
|
|
|
|
|
|
" <td>0.000000</td>\n",
|
|
|
|
|
|
" <td>2.0</td>\n",
|
|
|
|
|
|
" <td>0.000000</td>\n",
|
|
|
|
|
|
" <td>2.000000</td>\n",
|
|
|
|
|
|
" <td>0.0</td>\n",
|
|
|
|
|
|
" <td>1</td>\n",
|
|
|
|
|
|
" <td>2021-12-08 20:30:11+00:00</td>\n",
|
|
|
|
|
|
" <td>fr</td>\n",
|
2024-02-25 18:33:24 +01:00
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
2024-02-25 23:53:10 +01:00
|
|
|
|
" <th>320805</th>\n",
|
|
|
|
|
|
" <td>23334</td>\n",
|
|
|
|
|
|
" <td>22677</td>\n",
|
2024-02-25 18:33:24 +01:00
|
|
|
|
" <td>NaN</td>\n",
|
2024-02-25 23:53:10 +01:00
|
|
|
|
" <td>185203.0</td>\n",
|
|
|
|
|
|
" <td>4</td>\n",
|
|
|
|
|
|
" <td>1342</td>\n",
|
2024-02-25 18:33:24 +01:00
|
|
|
|
" <td>False</td>\n",
|
|
|
|
|
|
" <td>NaN</td>\n",
|
2024-02-25 23:53:10 +01:00
|
|
|
|
" <td>0</td>\n",
|
2024-02-25 18:33:24 +01:00
|
|
|
|
" <td>True</td>\n",
|
|
|
|
|
|
" <td>...</td>\n",
|
2024-02-25 23:53:10 +01:00
|
|
|
|
" <td>13.0</td>\n",
|
|
|
|
|
|
" <td>13</td>\n",
|
|
|
|
|
|
" <td>11.692308</td>\n",
|
2024-02-25 18:33:24 +01:00
|
|
|
|
" <td>0.0</td>\n",
|
2024-02-25 23:53:10 +01:00
|
|
|
|
" <td>25.333333</td>\n",
|
|
|
|
|
|
" <td>2.166667</td>\n",
|
|
|
|
|
|
" <td>152.0</td>\n",
|
|
|
|
|
|
" <td>6</td>\n",
|
|
|
|
|
|
" <td>2018-05-02 07:47:40+00:00</td>\n",
|
|
|
|
|
|
" <td>fr</td>\n",
|
2024-02-25 18:33:24 +01:00
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
2024-02-25 23:53:10 +01:00
|
|
|
|
" <th>320806</th>\n",
|
|
|
|
|
|
" <td>2641373</td>\n",
|
|
|
|
|
|
" <td>408068</td>\n",
|
2024-02-25 18:33:24 +01:00
|
|
|
|
" <td>NaN</td>\n",
|
2024-02-25 23:53:10 +01:00
|
|
|
|
" <td>NaN</td>\n",
|
|
|
|
|
|
" <td>1</td>\n",
|
|
|
|
|
|
" <td>1342</td>\n",
|
2024-02-25 18:33:24 +01:00
|
|
|
|
" <td>False</td>\n",
|
|
|
|
|
|
" <td>NaN</td>\n",
|
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
|
" <td>True</td>\n",
|
|
|
|
|
|
" <td>...</td>\n",
|
2024-02-25 23:53:10 +01:00
|
|
|
|
" <td>12.0</td>\n",
|
|
|
|
|
|
" <td>4</td>\n",
|
|
|
|
|
|
" <td>12.000000</td>\n",
|
2024-02-25 18:33:24 +01:00
|
|
|
|
" <td>0.0</td>\n",
|
2024-02-25 23:53:10 +01:00
|
|
|
|
" <td>48.000000</td>\n",
|
|
|
|
|
|
" <td>4.000000</td>\n",
|
|
|
|
|
|
" <td>48.0</td>\n",
|
|
|
|
|
|
" <td>1</td>\n",
|
|
|
|
|
|
" <td>2021-12-09 11:46:23+00:00</td>\n",
|
|
|
|
|
|
" <td>fr</td>\n",
|
2024-02-25 18:33:24 +01:00
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
2024-02-25 23:53:10 +01:00
|
|
|
|
" <th>320807</th>\n",
|
|
|
|
|
|
" <td>2641469</td>\n",
|
|
|
|
|
|
" <td>408160</td>\n",
|
2024-02-25 18:33:24 +01:00
|
|
|
|
" <td>NaN</td>\n",
|
2024-02-25 23:53:10 +01:00
|
|
|
|
" <td>NaN</td>\n",
|
|
|
|
|
|
" <td>1</td>\n",
|
|
|
|
|
|
" <td>1342</td>\n",
|
2024-02-25 18:33:24 +01:00
|
|
|
|
" <td>False</td>\n",
|
|
|
|
|
|
" <td>NaN</td>\n",
|
2024-02-25 23:53:10 +01:00
|
|
|
|
" <td>0</td>\n",
|
2024-02-25 18:33:24 +01:00
|
|
|
|
" <td>True</td>\n",
|
|
|
|
|
|
" <td>...</td>\n",
|
2024-02-25 23:53:10 +01:00
|
|
|
|
" <td>12.0</td>\n",
|
|
|
|
|
|
" <td>1</td>\n",
|
|
|
|
|
|
" <td>12.000000</td>\n",
|
2024-02-25 18:33:24 +01:00
|
|
|
|
" <td>0.0</td>\n",
|
2024-02-25 23:53:10 +01:00
|
|
|
|
" <td>12.000000</td>\n",
|
|
|
|
|
|
" <td>1.000000</td>\n",
|
|
|
|
|
|
" <td>12.0</td>\n",
|
|
|
|
|
|
" <td>1</td>\n",
|
|
|
|
|
|
" <td>2021-12-09 18:50:55+00:00</td>\n",
|
|
|
|
|
|
" <td>fr</td>\n",
|
2024-02-25 18:33:24 +01:00
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
2024-02-25 23:53:10 +01:00
|
|
|
|
" <th>320808</th>\n",
|
|
|
|
|
|
" <td>2641474</td>\n",
|
|
|
|
|
|
" <td>408165</td>\n",
|
2024-02-25 18:33:24 +01:00
|
|
|
|
" <td>NaN</td>\n",
|
2024-02-25 23:53:10 +01:00
|
|
|
|
" <td>NaN</td>\n",
|
|
|
|
|
|
" <td>1</td>\n",
|
|
|
|
|
|
" <td>1342</td>\n",
|
2024-02-25 18:33:24 +01:00
|
|
|
|
" <td>False</td>\n",
|
|
|
|
|
|
" <td>NaN</td>\n",
|
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
|
" <td>True</td>\n",
|
|
|
|
|
|
" <td>...</td>\n",
|
2024-02-25 23:53:10 +01:00
|
|
|
|
" <td>12.0</td>\n",
|
|
|
|
|
|
" <td>1</td>\n",
|
|
|
|
|
|
" <td>12.000000</td>\n",
|
2024-02-25 18:33:24 +01:00
|
|
|
|
" <td>0.0</td>\n",
|
2024-02-25 23:53:10 +01:00
|
|
|
|
" <td>12.000000</td>\n",
|
|
|
|
|
|
" <td>1.000000</td>\n",
|
|
|
|
|
|
" <td>12.0</td>\n",
|
|
|
|
|
|
" <td>1</td>\n",
|
|
|
|
|
|
" <td>2021-12-09 19:02:42+00:00</td>\n",
|
|
|
|
|
|
" <td>fr</td>\n",
|
2024-02-25 18:33:24 +01:00
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" </tbody>\n",
|
|
|
|
|
|
"</table>\n",
|
2024-02-25 23:53:10 +01:00
|
|
|
|
"<p>320809 rows × 22 columns</p>\n",
|
2024-02-25 18:33:24 +01:00
|
|
|
|
"</div>"
|
|
|
|
|
|
],
|
|
|
|
|
|
"text/plain": [
|
|
|
|
|
|
" customer_id street_id structure_id mcp_contact_id fidelity \\\n",
|
2024-02-25 23:53:10 +01:00
|
|
|
|
"0 479734 3587 NaN 184801.0 0 \n",
|
|
|
|
|
|
"1 1537 1352 NaN NaN 0 \n",
|
|
|
|
|
|
"2 504615 3587 NaN 152176.0 0 \n",
|
|
|
|
|
|
"3 3832780 3587 NaN NaN 0 \n",
|
|
|
|
|
|
"4 3096540 3587 NaN NaN 0 \n",
|
2024-02-25 18:33:24 +01:00
|
|
|
|
"... ... ... ... ... ... \n",
|
2024-02-25 23:53:10 +01:00
|
|
|
|
"320804 2637745 406842 NaN NaN 1 \n",
|
|
|
|
|
|
"320805 23334 22677 NaN 185203.0 4 \n",
|
|
|
|
|
|
"320806 2641373 408068 NaN NaN 1 \n",
|
|
|
|
|
|
"320807 2641469 408160 NaN NaN 1 \n",
|
|
|
|
|
|
"320808 2641474 408165 NaN NaN 1 \n",
|
2024-02-25 18:33:24 +01:00
|
|
|
|
"\n",
|
|
|
|
|
|
" tenant_id is_partner deleted_at gender is_email_true ... \\\n",
|
2024-02-25 23:53:10 +01:00
|
|
|
|
"0 1342 False NaN 0 True ... \n",
|
|
|
|
|
|
"1 1342 False NaN 0 True ... \n",
|
|
|
|
|
|
"2 1342 False NaN 0 True ... \n",
|
|
|
|
|
|
"3 1342 False NaN 2 True ... \n",
|
|
|
|
|
|
"4 1342 False NaN 2 True ... \n",
|
2024-02-25 18:33:24 +01:00
|
|
|
|
"... ... ... ... ... ... ... \n",
|
2024-02-25 23:53:10 +01:00
|
|
|
|
"320804 1342 False NaN 0 True ... \n",
|
|
|
|
|
|
"320805 1342 False NaN 0 True ... \n",
|
|
|
|
|
|
"320806 1342 False NaN 0 True ... \n",
|
|
|
|
|
|
"320807 1342 False NaN 0 True ... \n",
|
|
|
|
|
|
"320808 1342 False NaN 0 True ... \n",
|
2024-02-25 18:33:24 +01:00
|
|
|
|
"\n",
|
|
|
|
|
|
" max_price ticket_sum average_price average_purchase_delay \\\n",
|
|
|
|
|
|
"0 NaN 0 NaN NaN \n",
|
|
|
|
|
|
"1 NaN 0 NaN NaN \n",
|
|
|
|
|
|
"2 NaN 0 NaN NaN \n",
|
|
|
|
|
|
"3 NaN 0 NaN NaN \n",
|
2024-02-25 23:53:10 +01:00
|
|
|
|
"4 NaN 0 NaN NaN \n",
|
2024-02-25 18:33:24 +01:00
|
|
|
|
"... ... ... ... ... \n",
|
2024-02-25 23:53:10 +01:00
|
|
|
|
"320804 0.0 2 0.000000 2.0 \n",
|
|
|
|
|
|
"320805 13.0 13 11.692308 0.0 \n",
|
|
|
|
|
|
"320806 12.0 4 12.000000 0.0 \n",
|
|
|
|
|
|
"320807 12.0 1 12.000000 0.0 \n",
|
|
|
|
|
|
"320808 12.0 1 12.000000 0.0 \n",
|
2024-02-25 18:33:24 +01:00
|
|
|
|
"\n",
|
|
|
|
|
|
" average_price_basket average_ticket_basket total_price \\\n",
|
|
|
|
|
|
"0 NaN NaN 0.0 \n",
|
|
|
|
|
|
"1 NaN NaN 0.0 \n",
|
|
|
|
|
|
"2 NaN NaN 0.0 \n",
|
|
|
|
|
|
"3 NaN NaN 0.0 \n",
|
2024-02-25 23:53:10 +01:00
|
|
|
|
"4 NaN NaN 0.0 \n",
|
2024-02-25 18:33:24 +01:00
|
|
|
|
"... ... ... ... \n",
|
2024-02-25 23:53:10 +01:00
|
|
|
|
"320804 0.000000 2.000000 0.0 \n",
|
|
|
|
|
|
"320805 25.333333 2.166667 152.0 \n",
|
|
|
|
|
|
"320806 48.000000 4.000000 48.0 \n",
|
|
|
|
|
|
"320807 12.000000 1.000000 12.0 \n",
|
|
|
|
|
|
"320808 12.000000 1.000000 12.0 \n",
|
2024-02-25 18:33:24 +01:00
|
|
|
|
"\n",
|
2024-02-25 23:53:10 +01:00
|
|
|
|
" purchase_count first_buying_date country \n",
|
|
|
|
|
|
"0 0 NaN fr \n",
|
|
|
|
|
|
"1 0 NaN fr \n",
|
|
|
|
|
|
"2 0 NaN fr \n",
|
|
|
|
|
|
"3 0 NaN fr \n",
|
|
|
|
|
|
"4 0 NaN fr \n",
|
|
|
|
|
|
"... ... ... ... \n",
|
|
|
|
|
|
"320804 1 2021-12-08 20:30:11+00:00 fr \n",
|
|
|
|
|
|
"320805 6 2018-05-02 07:47:40+00:00 fr \n",
|
|
|
|
|
|
"320806 1 2021-12-09 11:46:23+00:00 fr \n",
|
|
|
|
|
|
"320807 1 2021-12-09 18:50:55+00:00 fr \n",
|
|
|
|
|
|
"320808 1 2021-12-09 19:02:42+00:00 fr \n",
|
2024-02-25 18:33:24 +01:00
|
|
|
|
"\n",
|
2024-02-25 23:53:10 +01:00
|
|
|
|
"[320809 rows x 22 columns]"
|
2024-02-25 18:33:24 +01:00
|
|
|
|
]
|
|
|
|
|
|
},
|
2024-02-25 23:53:10 +01:00
|
|
|
|
"execution_count": 7,
|
2024-02-25 18:33:24 +01:00
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"output_type": "execute_result"
|
|
|
|
|
|
}
|
|
|
|
|
|
],
|
|
|
|
|
|
"source": [
|
2024-02-25 23:53:10 +01:00
|
|
|
|
"display_databases(\"4\", \"customerplus_cleaned\")"
|
2024-02-25 18:33:24 +01:00
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
2024-02-25 23:53:10 +01:00
|
|
|
|
"execution_count": 26,
|
2024-02-25 18:33:24 +01:00
|
|
|
|
"id": "6c8ad8c3-25df-4fe4-9ad0-ee5f9498bc14",
|
|
|
|
|
|
"metadata": {},
|
2024-02-25 23:53:10 +01:00
|
|
|
|
"outputs": [],
|
|
|
|
|
|
"source": [
|
|
|
|
|
|
"pd.reset_option('display.max_rows')"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
|
"execution_count": 27,
|
|
|
|
|
|
"id": "c897916c",
|
|
|
|
|
|
"metadata": {},
|
2024-02-25 18:33:24 +01:00
|
|
|
|
"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>code</th>\n",
|
|
|
|
|
|
" <th>created_at</th>\n",
|
|
|
|
|
|
" <th>updated_at</th>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" </thead>\n",
|
|
|
|
|
|
" <tbody>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>0</th>\n",
|
|
|
|
|
|
" <td>101</td>\n",
|
|
|
|
|
|
" <td>hongrie</td>\n",
|
|
|
|
|
|
" <td>hu</td>\n",
|
|
|
|
|
|
" <td>2023-06-13 11:17:40.600622+02:00</td>\n",
|
|
|
|
|
|
" <td>2023-06-13 11:17:40.600622+02:00</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>1</th>\n",
|
|
|
|
|
|
" <td>2</td>\n",
|
|
|
|
|
|
" <td>albanie</td>\n",
|
|
|
|
|
|
" <td>al</td>\n",
|
|
|
|
|
|
" <td>2023-06-13 11:17:40.540652+02:00</td>\n",
|
|
|
|
|
|
" <td>2023-06-13 11:17:40.540652+02:00</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>2</th>\n",
|
|
|
|
|
|
" <td>3</td>\n",
|
|
|
|
|
|
" <td>antarctique</td>\n",
|
|
|
|
|
|
" <td>aq</td>\n",
|
|
|
|
|
|
" <td>2023-06-13 11:17:40.541315+02:00</td>\n",
|
|
|
|
|
|
" <td>2023-06-13 11:17:40.541315+02:00</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>3</th>\n",
|
|
|
|
|
|
" <td>12</td>\n",
|
|
|
|
|
|
" <td>autriche</td>\n",
|
|
|
|
|
|
" <td>at</td>\n",
|
|
|
|
|
|
" <td>2023-06-13 11:17:40.546711+02:00</td>\n",
|
|
|
|
|
|
" <td>2023-06-13 11:17:40.546711+02:00</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>4</th>\n",
|
|
|
|
|
|
" <td>5</td>\n",
|
|
|
|
|
|
" <td>samoa américaines</td>\n",
|
|
|
|
|
|
" <td>as</td>\n",
|
|
|
|
|
|
" <td>2023-06-13 11:17:40.542569+02:00</td>\n",
|
|
|
|
|
|
" <td>2023-06-13 11:17:40.542569+02:00</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>...</th>\n",
|
|
|
|
|
|
" <td>...</td>\n",
|
|
|
|
|
|
" <td>...</td>\n",
|
|
|
|
|
|
" <td>...</td>\n",
|
|
|
|
|
|
" <td>...</td>\n",
|
|
|
|
|
|
" <td>...</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>238</th>\n",
|
|
|
|
|
|
" <td>228</td>\n",
|
|
|
|
|
|
" <td>royaume-uni</td>\n",
|
|
|
|
|
|
" <td>gb</td>\n",
|
|
|
|
|
|
" <td>2023-06-13 11:17:40.678023+02:00</td>\n",
|
|
|
|
|
|
" <td>2023-06-13 11:17:40.678023+02:00</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>239</th>\n",
|
|
|
|
|
|
" <td>25</td>\n",
|
|
|
|
|
|
" <td>brésil</td>\n",
|
|
|
|
|
|
" <td>br</td>\n",
|
|
|
|
|
|
" <td>2023-06-13 11:17:40.554209+02:00</td>\n",
|
|
|
|
|
|
" <td>2023-06-13 11:17:40.554209+02:00</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>240</th>\n",
|
|
|
|
|
|
" <td>10</td>\n",
|
|
|
|
|
|
" <td>argentine</td>\n",
|
|
|
|
|
|
" <td>ar</td>\n",
|
|
|
|
|
|
" <td>2023-06-13 11:17:40.545489+02:00</td>\n",
|
|
|
|
|
|
" <td>2023-06-13 11:17:40.545489+02:00</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>241</th>\n",
|
|
|
|
|
|
" <td>203</td>\n",
|
|
|
|
|
|
" <td>espagne</td>\n",
|
|
|
|
|
|
" <td>es</td>\n",
|
|
|
|
|
|
" <td>2023-06-13 11:17:40.662472+02:00</td>\n",
|
|
|
|
|
|
" <td>2023-06-13 11:17:40.662472+02:00</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>242</th>\n",
|
|
|
|
|
|
" <td>192</td>\n",
|
|
|
|
|
|
" <td>arabie saoudite</td>\n",
|
|
|
|
|
|
" <td>sa</td>\n",
|
|
|
|
|
|
" <td>2023-06-13 11:17:40.656154+02:00</td>\n",
|
|
|
|
|
|
" <td>2023-06-13 11:17:40.656154+02:00</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" </tbody>\n",
|
|
|
|
|
|
"</table>\n",
|
|
|
|
|
|
"<p>243 rows × 5 columns</p>\n",
|
|
|
|
|
|
"</div>"
|
|
|
|
|
|
],
|
|
|
|
|
|
"text/plain": [
|
|
|
|
|
|
" id name code created_at \\\n",
|
|
|
|
|
|
"0 101 hongrie hu 2023-06-13 11:17:40.600622+02:00 \n",
|
|
|
|
|
|
"1 2 albanie al 2023-06-13 11:17:40.540652+02:00 \n",
|
|
|
|
|
|
"2 3 antarctique aq 2023-06-13 11:17:40.541315+02:00 \n",
|
|
|
|
|
|
"3 12 autriche at 2023-06-13 11:17:40.546711+02:00 \n",
|
|
|
|
|
|
"4 5 samoa américaines as 2023-06-13 11:17:40.542569+02:00 \n",
|
|
|
|
|
|
".. ... ... ... ... \n",
|
|
|
|
|
|
"238 228 royaume-uni gb 2023-06-13 11:17:40.678023+02:00 \n",
|
|
|
|
|
|
"239 25 brésil br 2023-06-13 11:17:40.554209+02:00 \n",
|
|
|
|
|
|
"240 10 argentine ar 2023-06-13 11:17:40.545489+02:00 \n",
|
|
|
|
|
|
"241 203 espagne es 2023-06-13 11:17:40.662472+02:00 \n",
|
|
|
|
|
|
"242 192 arabie saoudite sa 2023-06-13 11:17:40.656154+02:00 \n",
|
|
|
|
|
|
"\n",
|
|
|
|
|
|
" updated_at \n",
|
|
|
|
|
|
"0 2023-06-13 11:17:40.600622+02:00 \n",
|
|
|
|
|
|
"1 2023-06-13 11:17:40.540652+02:00 \n",
|
|
|
|
|
|
"2 2023-06-13 11:17:40.541315+02:00 \n",
|
|
|
|
|
|
"3 2023-06-13 11:17:40.546711+02:00 \n",
|
|
|
|
|
|
"4 2023-06-13 11:17:40.542569+02:00 \n",
|
|
|
|
|
|
".. ... \n",
|
|
|
|
|
|
"238 2023-06-13 11:17:40.678023+02:00 \n",
|
|
|
|
|
|
"239 2023-06-13 11:17:40.554209+02:00 \n",
|
|
|
|
|
|
"240 2023-06-13 11:17:40.545489+02:00 \n",
|
|
|
|
|
|
"241 2023-06-13 11:17:40.662472+02:00 \n",
|
|
|
|
|
|
"242 2023-06-13 11:17:40.656154+02:00 \n",
|
|
|
|
|
|
"\n",
|
|
|
|
|
|
"[243 rows x 5 columns]"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
2024-02-25 23:53:10 +01:00
|
|
|
|
"execution_count": 27,
|
2024-02-25 18:33:24 +01:00
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"output_type": "execute_result"
|
|
|
|
|
|
}
|
|
|
|
|
|
],
|
|
|
|
|
|
"source": [
|
2024-02-25 23:53:10 +01:00
|
|
|
|
"\n",
|
2024-02-25 18:33:24 +01:00
|
|
|
|
"load_dataset_2(\"7\", \"countries\")"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "markdown",
|
|
|
|
|
|
"id": "ca2c8b6a-4965-422e-ba7c-66423a464fc1",
|
|
|
|
|
|
"metadata": {
|
|
|
|
|
|
"jp-MarkdownHeadingCollapsed": true
|
|
|
|
|
|
},
|
|
|
|
|
|
"source": [
|
|
|
|
|
|
"## Base communes au types Musée"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
|
"execution_count": null,
|
|
|
|
|
|
"id": "f8f988fb-5aab-4b57-80d1-e242f7e5b384",
|
|
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"outputs": [],
|
|
|
|
|
|
"source": [
|
|
|
|
|
|
"companies = {'musee' : ['1', '2', '3', '4', '101'],\n",
|
|
|
|
|
|
" 'sport': ['5', '6', '7', '8', '9'],\n",
|
|
|
|
|
|
" 'musique' : ['10', '11', '12', '13', '14']}"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
|
"execution_count": null,
|
|
|
|
|
|
"id": "dbce1124-9a22-4502-a47a-fc3d0e2db70b",
|
|
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"outputs": [],
|
|
|
|
|
|
"source": [
|
|
|
|
|
|
"companies['musee']"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
|
"execution_count": null,
|
|
|
|
|
|
"id": "5080f66e-f779-410a-876d-b4fe2795e17e",
|
|
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"outputs": [],
|
|
|
|
|
|
"source": [
|
|
|
|
|
|
"for i in companies['musique']:\n",
|
|
|
|
|
|
" BUCKET = \"bdc2324-data/\"+i\n",
|
|
|
|
|
|
" liste_base = []\n",
|
|
|
|
|
|
" for base in fs.ls(BUCKET):\n",
|
|
|
|
|
|
" match = re.search(r'\\/(\\d+)\\/(\\d+)([a-zA-Z_]+)\\.csv$', base)\n",
|
|
|
|
|
|
" if match:\n",
|
|
|
|
|
|
" nom_base = match.group(3)\n",
|
|
|
|
|
|
" liste_base.append(nom_base)\n",
|
|
|
|
|
|
" globals()['base_'+i] = liste_base\n"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
|
"execution_count": null,
|
|
|
|
|
|
"id": "abd477e1-7479-4c88-a5aa-f987af3f5b79",
|
|
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"outputs": [],
|
|
|
|
|
|
"source": [
|
|
|
|
|
|
"# Trouver l'intersection entre les cinq listes\n",
|
|
|
|
|
|
"intersection = set(base_1).intersection(base_2, base_3, base_4, base_101)\n",
|
|
|
|
|
|
"\n",
|
|
|
|
|
|
"# Convertir le résultat en liste si nécessaire\n",
|
|
|
|
|
|
"intersection_liste = list(intersection)\n",
|
|
|
|
|
|
"\n",
|
|
|
|
|
|
"print(intersection_liste)"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
|
"execution_count": null,
|
|
|
|
|
|
"id": "8d93888f-a511-4ee5-8bc3-d5173a7f119e",
|
|
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"outputs": [],
|
|
|
|
|
|
"source": [
|
|
|
|
|
|
"# Trouver l'intersection entre les cinq listes\n",
|
|
|
|
|
|
"intersection = set(base_10).intersection(base_12, base_13, base_14, base_11)\n",
|
|
|
|
|
|
"\n",
|
|
|
|
|
|
"# Convertir le résultat en liste si nécessaire\n",
|
|
|
|
|
|
"intersection_liste = list(intersection)\n",
|
|
|
|
|
|
"\n",
|
|
|
|
|
|
"print(intersection_liste)"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
|
"execution_count": null,
|
|
|
|
|
|
"id": "10e89669-42bb-4652-a4bc-1a3d1caf4d1a",
|
|
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"outputs": [],
|
|
|
|
|
|
"source": [
|
|
|
|
|
|
"len(intersection_liste)"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
|
"execution_count": null,
|
|
|
|
|
|
"id": "7d058b21-a538-4f59-aefb-ef7966f73fdc",
|
2024-01-10 19:19:51 +01:00
|
|
|
|
"metadata": {},
|
2024-02-25 18:33:24 +01:00
|
|
|
|
"outputs": [],
|
|
|
|
|
|
"source": [
|
|
|
|
|
|
"df1_tags = load_dataset_2(\"1\", \"tags\")"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
|
"execution_count": null,
|
|
|
|
|
|
"id": "aa441f99-733c-4675-8676-bed4682d3324",
|
|
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"outputs": [],
|
|
|
|
|
|
"source": [
|
|
|
|
|
|
"df1_structure_tag_mappings = load_dataset_2(\"1\", 'structure_tag_mappings')"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
|
"execution_count": null,
|
|
|
|
|
|
"id": "6767a750-14a4-4c05-903e-d2f07170825b",
|
|
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"outputs": [],
|
|
|
|
|
|
"source": [
|
|
|
|
|
|
"df1_customersplus = load_dataset_2(\"1\", \"customersplus\")"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
|
"execution_count": null,
|
|
|
|
|
|
"id": "125e9145-a815-46fd-bdf4-07589508b259",
|
|
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"outputs": [],
|
|
|
|
|
|
"source": [
|
|
|
|
|
|
"df1_customersplus.groupby('structure_id')['id'].count().reset_index().sort_values('id', ascending=False).head(20)"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
|
"execution_count": null,
|
|
|
|
|
|
"id": "c17a6976-792f-474d-bcff-c89396eddb3f",
|
|
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"outputs": [],
|
|
|
|
|
|
"source": [
|
|
|
|
|
|
"df1_customersplus['structure_id'].isna().sum() / len(df1_customersplus['structure_id'])"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
|
"execution_count": null,
|
|
|
|
|
|
"id": "ecfc155a-cb42-46ec-8da5-33fdcd087355",
|
|
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"outputs": [],
|
|
|
|
|
|
"source": [
|
|
|
|
|
|
"len(df1_structure_tag_mappings)"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
|
"execution_count": null,
|
|
|
|
|
|
"id": "071410b8-950d-4fcc-b2b9-57415253c286",
|
|
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"outputs": [],
|
|
|
|
|
|
"source": [
|
|
|
|
|
|
"df1_structure_tag_mappings.groupby('tag_id')['structure_id'].count().reset_index().sort_values('structure_id', ascending=False).head(20)"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
|
"execution_count": null,
|
|
|
|
|
|
"id": "f48d27a9-14e4-4bb9-a60a-73e9438b58fc",
|
|
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"outputs": [],
|
|
|
|
|
|
"source": [
|
|
|
|
|
|
"?np.sort_values()"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
|
"execution_count": null,
|
|
|
|
|
|
"id": "14eaa0ea-02cc-430b-ab9b-38e6637810c3",
|
|
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"outputs": [],
|
|
|
|
|
|
"source": [
|
|
|
|
|
|
"def info_colonnes_dataframe(df):\n",
|
|
|
|
|
|
" # Créer une liste pour stocker les informations sur chaque colonne\n",
|
|
|
|
|
|
" infos_colonnes = []\n",
|
|
|
|
|
|
"\n",
|
|
|
|
|
|
" # Parcourir les colonnes du DataFrame\n",
|
|
|
|
|
|
" for nom_colonne, serie in df.items(): # Utiliser items() au lieu de iteritems()\n",
|
|
|
|
|
|
" # Calculer le taux de valeurs manquantes\n",
|
|
|
|
|
|
" taux_na = serie.isna().mean() * 100\n",
|
|
|
|
|
|
"\n",
|
|
|
|
|
|
" # Ajouter les informations à la liste\n",
|
|
|
|
|
|
" infos_colonnes.append({\n",
|
|
|
|
|
|
" 'Nom_colonne': nom_colonne,\n",
|
|
|
|
|
|
" 'Type_colonne': str(serie.dtype),\n",
|
|
|
|
|
|
" 'Taux_NA': taux_na\n",
|
|
|
|
|
|
" })\n",
|
|
|
|
|
|
"\n",
|
|
|
|
|
|
" # Créer une nouvelle DataFrame à partir de la liste d'informations\n",
|
|
|
|
|
|
" df_infos_colonnes = pd.DataFrame(infos_colonnes)\n",
|
|
|
|
|
|
"\n",
|
|
|
|
|
|
" return df_infos_colonnes"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
|
"execution_count": null,
|
|
|
|
|
|
"id": "6b031c32-d4c8-42a5-9a71-a7810f9bf8d8",
|
|
|
|
|
|
"metadata": {
|
|
|
|
|
|
"scrolled": true
|
|
|
|
|
|
},
|
|
|
|
|
|
"outputs": [],
|
|
|
|
|
|
"source": [
|
|
|
|
|
|
"info_colonnes_dataframe(df1_tags)"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
|
"execution_count": null,
|
|
|
|
|
|
"id": "e1a87f27-c4d4-4832-ac20-0c3c54aa4980",
|
|
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"outputs": [],
|
|
|
|
|
|
"source": [
|
|
|
|
|
|
"info_colonnes_dataframe(df1_structure_tag_mappings)"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
|
"execution_count": null,
|
|
|
|
|
|
"id": "fa5c65a8-2f74-4f3f-85fc-9ac91e0bb361",
|
|
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"outputs": [],
|
|
|
|
|
|
"source": [
|
|
|
|
|
|
"pd.set_option('display.max_colwidth', None)\n",
|
|
|
|
|
|
"\n",
|
|
|
|
|
|
"print(df1_tags['name'])"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
|
"execution_count": null,
|
|
|
|
|
|
"id": "a59bf932-5b54-4600-81f5-c55ac93ae510",
|
|
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"outputs": [],
|
|
|
|
|
|
"source": [
|
|
|
|
|
|
"pd.set_option('display.max_rows', None)"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
|
"execution_count": null,
|
|
|
|
|
|
"id": "a4ab298e-2cae-4865-9f00-4caff5f75ea1",
|
|
|
|
|
|
"metadata": {
|
|
|
|
|
|
"scrolled": true
|
|
|
|
|
|
},
|
|
|
|
|
|
"outputs": [],
|
|
|
|
|
|
"source": [
|
|
|
|
|
|
"print(df1_tags['name'])"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "markdown",
|
|
|
|
|
|
"id": "76bffba1-5f7e-4308-9224-437ca66148f8",
|
|
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"source": [
|
|
|
|
|
|
"## KPI sur target_type"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
2024-02-25 23:53:10 +01:00
|
|
|
|
"execution_count": 59,
|
|
|
|
|
|
"id": "d91d5895",
|
|
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"outputs": [],
|
|
|
|
|
|
"source": [
|
|
|
|
|
|
"pd.set_option('display.max_colwidth', None)\n"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "markdown",
|
|
|
|
|
|
"id": "c58b17d3",
|
|
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"source": [
|
|
|
|
|
|
"Raisonnement : on prends les target_type qui représente 90% des clients et on fait des catégories dessus."
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
|
"execution_count": 13,
|
|
|
|
|
|
"id": "d74426b3",
|
|
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"outputs": [],
|
|
|
|
|
|
"source": [
|
|
|
|
|
|
"targets = load_dataset_2(\"3\", \"targets\")\n",
|
|
|
|
|
|
"target_types = load_dataset_2(\"3\", \"target_types\")\n",
|
|
|
|
|
|
"\n",
|
|
|
|
|
|
"# target_all = pd.merge(targets, target_types, left_on= 'target_type_id', right_on= 'id' ,how = 'inner')\n"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
|
"execution_count": 71,
|
|
|
|
|
|
"id": "6930bff5",
|
|
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"outputs": [],
|
|
|
|
|
|
"source": [
|
|
|
|
|
|
"def print_main_target(tenant_id, nb_print = 40):\n",
|
|
|
|
|
|
" df_target = display_databases(tenant_id, \"target_information\")\n",
|
|
|
|
|
|
"\n",
|
|
|
|
|
|
" print('Nombre de ciblage : ', len(df_target))\n",
|
|
|
|
|
|
" nb_customers = df_target['customer_id'].nunique()\n",
|
|
|
|
|
|
" print('Nombre de client avec étiquette target : ', nb_customers) \n",
|
|
|
|
|
|
"\n",
|
|
|
|
|
|
" nb_custumers_per_target = df_target.groupby(\"target_name\")['customer_id'].count().reset_index().sort_values('customer_id', ascending=False)\n",
|
|
|
|
|
|
" nb_custumers_per_target['cumulative_customers'] = nb_custumers_per_target['customer_id'].cumsum()/len(df_target)\n",
|
|
|
|
|
|
" nb_custumers_per_target['customer_id'] = nb_custumers_per_target['customer_id']/nb_customers\n",
|
|
|
|
|
|
"\n",
|
|
|
|
|
|
" return nb_custumers_per_target.head(nb_print)"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "markdown",
|
|
|
|
|
|
"id": "5df6bccd",
|
|
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"source": [
|
|
|
|
|
|
"### Entreprise 1"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
|
"execution_count": 72,
|
|
|
|
|
|
"id": "1e7ee1a0",
|
2024-02-25 18:33:24 +01:00
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"outputs": [
|
|
|
|
|
|
{
|
|
|
|
|
|
"name": "stdout",
|
|
|
|
|
|
"output_type": "stream",
|
|
|
|
|
|
"text": [
|
|
|
|
|
|
"File path : projet-bdc2324-team1/0_Input/Company_1/target_information.csv\n"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
2024-02-25 23:53:10 +01:00
|
|
|
|
"name": "stdout",
|
|
|
|
|
|
"output_type": "stream",
|
|
|
|
|
|
"text": [
|
|
|
|
|
|
"Nombre de ciblage : 768024\n",
|
|
|
|
|
|
"Nombre de client avec étiquette target : 151159\n"
|
2024-02-25 18:33:24 +01:00
|
|
|
|
]
|
2024-02-25 23:53:10 +01:00
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"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>target_name</th>\n",
|
|
|
|
|
|
" <th>customer_id</th>\n",
|
|
|
|
|
|
" <th>cumulative_customers</th>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" </thead>\n",
|
|
|
|
|
|
" <tbody>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>161</th>\n",
|
|
|
|
|
|
" <td>consentement optin mediation specialisee</td>\n",
|
|
|
|
|
|
" <td>0.992333</td>\n",
|
|
|
|
|
|
" <td>0.195306</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>160</th>\n",
|
|
|
|
|
|
" <td>consentement optin jeune public</td>\n",
|
|
|
|
|
|
" <td>0.992194</td>\n",
|
|
|
|
|
|
" <td>0.390585</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>158</th>\n",
|
|
|
|
|
|
" <td>consentement optin b2c</td>\n",
|
|
|
|
|
|
" <td>0.720493</td>\n",
|
|
|
|
|
|
" <td>0.532390</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>5</th>\n",
|
|
|
|
|
|
" <td>Arenametrix_bascule tel vers sib</td>\n",
|
|
|
|
|
|
" <td>0.232973</td>\n",
|
|
|
|
|
|
" <td>0.578242</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>165</th>\n",
|
|
|
|
|
|
" <td>consentement optout b2c</td>\n",
|
|
|
|
|
|
" <td>0.228389</td>\n",
|
|
|
|
|
|
" <td>0.623193</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>19</th>\n",
|
|
|
|
|
|
" <td>COM Inscrits NL générale (historique)</td>\n",
|
|
|
|
|
|
" <td>0.152191</td>\n",
|
|
|
|
|
|
" <td>0.653146</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>162</th>\n",
|
|
|
|
|
|
" <td>consentement optin newsletter generale</td>\n",
|
|
|
|
|
|
" <td>0.146171</td>\n",
|
|
|
|
|
|
" <td>0.681915</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>169</th>\n",
|
|
|
|
|
|
" <td>consentement optout newsletter generale</td>\n",
|
|
|
|
|
|
" <td>0.124736</td>\n",
|
|
|
|
|
|
" <td>0.706465</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>170</th>\n",
|
|
|
|
|
|
" <td>consentement optout scolaires</td>\n",
|
|
|
|
|
|
" <td>0.104155</td>\n",
|
|
|
|
|
|
" <td>0.726964</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>166</th>\n",
|
|
|
|
|
|
" <td>consentement optout dre</td>\n",
|
|
|
|
|
|
" <td>0.094788</td>\n",
|
|
|
|
|
|
" <td>0.745620</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>164</th>\n",
|
|
|
|
|
|
" <td>consentement optout b2b</td>\n",
|
|
|
|
|
|
" <td>0.094067</td>\n",
|
|
|
|
|
|
" <td>0.764134</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>126</th>\n",
|
|
|
|
|
|
" <td>Inscrits NL générale (export_291019 + operation_videomaton)</td>\n",
|
|
|
|
|
|
" <td>0.093187</td>\n",
|
|
|
|
|
|
" <td>0.782474</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>157</th>\n",
|
|
|
|
|
|
" <td>consentement optin b2b</td>\n",
|
|
|
|
|
|
" <td>0.084249</td>\n",
|
|
|
|
|
|
" <td>0.799056</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>216</th>\n",
|
|
|
|
|
|
" <td>ddcp_visiteurs dps 010622</td>\n",
|
|
|
|
|
|
" <td>0.081735</td>\n",
|
|
|
|
|
|
" <td>0.815142</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>20</th>\n",
|
|
|
|
|
|
" <td>Contacts_prenomsdoubles</td>\n",
|
|
|
|
|
|
" <td>0.077025</td>\n",
|
|
|
|
|
|
" <td>0.830302</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>115</th>\n",
|
|
|
|
|
|
" <td>FORMATION _ acheteurs optin last year</td>\n",
|
|
|
|
|
|
" <td>0.069364</td>\n",
|
|
|
|
|
|
" <td>0.843954</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>214</th>\n",
|
|
|
|
|
|
" <td>ddcp_promo_visiteurs occasionnels_musee_8mois</td>\n",
|
|
|
|
|
|
" <td>0.043927</td>\n",
|
|
|
|
|
|
" <td>0.852600</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>189</th>\n",
|
|
|
|
|
|
" <td>ddcp_promo_md_musée_dps 011019</td>\n",
|
|
|
|
|
|
" <td>0.039759</td>\n",
|
|
|
|
|
|
" <td>0.860425</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>188</th>\n",
|
|
|
|
|
|
" <td>ddcp_promo_MD_billet_musée_oct_2019_agarder2</td>\n",
|
|
|
|
|
|
" <td>0.036266</td>\n",
|
|
|
|
|
|
" <td>0.867563</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>163</th>\n",
|
|
|
|
|
|
" <td>consentement optin scolaires</td>\n",
|
|
|
|
|
|
" <td>0.032079</td>\n",
|
|
|
|
|
|
" <td>0.873876</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>159</th>\n",
|
|
|
|
|
|
" <td>consentement optin dre</td>\n",
|
|
|
|
|
|
" <td>0.029949</td>\n",
|
|
|
|
|
|
" <td>0.879771</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>34</th>\n",
|
|
|
|
|
|
" <td>DDCP Newsletter enseignants</td>\n",
|
|
|
|
|
|
" <td>0.029836</td>\n",
|
|
|
|
|
|
" <td>0.885643</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>36</th>\n",
|
|
|
|
|
|
" <td>DDCP Newsletter jeune public</td>\n",
|
|
|
|
|
|
" <td>0.025549</td>\n",
|
|
|
|
|
|
" <td>0.890671</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>127</th>\n",
|
|
|
|
|
|
" <td>Inscrits NL générale site web</td>\n",
|
|
|
|
|
|
" <td>0.024689</td>\n",
|
|
|
|
|
|
" <td>0.895531</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>145</th>\n",
|
|
|
|
|
|
" <td>Votre première liste</td>\n",
|
|
|
|
|
|
" <td>0.024577</td>\n",
|
|
|
|
|
|
" <td>0.900368</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>61</th>\n",
|
|
|
|
|
|
" <td>DDCP billets famille</td>\n",
|
|
|
|
|
|
" <td>0.023876</td>\n",
|
|
|
|
|
|
" <td>0.905067</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>106</th>\n",
|
|
|
|
|
|
" <td>DRE MucemLab</td>\n",
|
|
|
|
|
|
" <td>0.015229</td>\n",
|
|
|
|
|
|
" <td>0.908064</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>39</th>\n",
|
|
|
|
|
|
" <td>DDCP Newsletter relais champ social</td>\n",
|
|
|
|
|
|
" <td>0.015017</td>\n",
|
|
|
|
|
|
" <td>0.911020</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>110</th>\n",
|
|
|
|
|
|
" <td>DRE institutionnels</td>\n",
|
|
|
|
|
|
" <td>0.014746</td>\n",
|
|
|
|
|
|
" <td>0.913922</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>48</th>\n",
|
|
|
|
|
|
" <td>DDCP PROMO Participants ateliers (adultes et enfants)</td>\n",
|
|
|
|
|
|
" <td>0.012927</td>\n",
|
|
|
|
|
|
" <td>0.916466</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>74</th>\n",
|
|
|
|
|
|
" <td>DDCP promo Plan B 2019 (concerts)</td>\n",
|
|
|
|
|
|
" <td>0.012887</td>\n",
|
|
|
|
|
|
" <td>0.919003</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>72</th>\n",
|
|
|
|
|
|
" <td>DDCP promo MD pass musées dps oct 2018</td>\n",
|
|
|
|
|
|
" <td>0.011809</td>\n",
|
|
|
|
|
|
" <td>0.921327</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>94</th>\n",
|
|
|
|
|
|
" <td>DDCP rentrée culturelle 2023</td>\n",
|
|
|
|
|
|
" <td>0.011624</td>\n",
|
|
|
|
|
|
" <td>0.923614</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>23</th>\n",
|
|
|
|
|
|
" <td>DDCP MD Procès du Siècle</td>\n",
|
|
|
|
|
|
" <td>0.011141</td>\n",
|
|
|
|
|
|
" <td>0.925807</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>186</th>\n",
|
|
|
|
|
|
" <td>ddcp_md_scene_ouverte_au_talent</td>\n",
|
|
|
|
|
|
" <td>0.010433</td>\n",
|
|
|
|
|
|
" <td>0.927860</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>108</th>\n",
|
|
|
|
|
|
" <td>DRE chercheurs</td>\n",
|
|
|
|
|
|
" <td>0.010300</td>\n",
|
|
|
|
|
|
" <td>0.929888</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>220</th>\n",
|
|
|
|
|
|
" <td>festival_jean_rouch</td>\n",
|
|
|
|
|
|
" <td>0.009937</td>\n",
|
|
|
|
|
|
" <td>0.931843</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>105</th>\n",
|
|
|
|
|
|
" <td>DRE Festival Jean Rouch</td>\n",
|
|
|
|
|
|
" <td>0.009937</td>\n",
|
|
|
|
|
|
" <td>0.933799</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>275</th>\n",
|
|
|
|
|
|
" <td>structures_etiquette champ social</td>\n",
|
|
|
|
|
|
" <td>0.009844</td>\n",
|
|
|
|
|
|
" <td>0.935736</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>86</th>\n",
|
|
|
|
|
|
" <td>DDCP promo spectateurs prog 21-22 (spectacles, ciné, ateliers)</td>\n",
|
|
|
|
|
|
" <td>0.008554</td>\n",
|
|
|
|
|
|
" <td>0.937420</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" </tbody>\n",
|
|
|
|
|
|
"</table>\n",
|
|
|
|
|
|
"</div>"
|
|
|
|
|
|
],
|
|
|
|
|
|
"text/plain": [
|
|
|
|
|
|
" target_name \\\n",
|
|
|
|
|
|
"161 consentement optin mediation specialisee \n",
|
|
|
|
|
|
"160 consentement optin jeune public \n",
|
|
|
|
|
|
"158 consentement optin b2c \n",
|
|
|
|
|
|
"5 Arenametrix_bascule tel vers sib \n",
|
|
|
|
|
|
"165 consentement optout b2c \n",
|
|
|
|
|
|
"19 COM Inscrits NL générale (historique) \n",
|
|
|
|
|
|
"162 consentement optin newsletter generale \n",
|
|
|
|
|
|
"169 consentement optout newsletter generale \n",
|
|
|
|
|
|
"170 consentement optout scolaires \n",
|
|
|
|
|
|
"166 consentement optout dre \n",
|
|
|
|
|
|
"164 consentement optout b2b \n",
|
|
|
|
|
|
"126 Inscrits NL générale (export_291019 + operation_videomaton) \n",
|
|
|
|
|
|
"157 consentement optin b2b \n",
|
|
|
|
|
|
"216 ddcp_visiteurs dps 010622 \n",
|
|
|
|
|
|
"20 Contacts_prenomsdoubles \n",
|
|
|
|
|
|
"115 FORMATION _ acheteurs optin last year \n",
|
|
|
|
|
|
"214 ddcp_promo_visiteurs occasionnels_musee_8mois \n",
|
|
|
|
|
|
"189 ddcp_promo_md_musée_dps 011019 \n",
|
|
|
|
|
|
"188 ddcp_promo_MD_billet_musée_oct_2019_agarder2 \n",
|
|
|
|
|
|
"163 consentement optin scolaires \n",
|
|
|
|
|
|
"159 consentement optin dre \n",
|
|
|
|
|
|
"34 DDCP Newsletter enseignants \n",
|
|
|
|
|
|
"36 DDCP Newsletter jeune public \n",
|
|
|
|
|
|
"127 Inscrits NL générale site web \n",
|
|
|
|
|
|
"145 Votre première liste \n",
|
|
|
|
|
|
"61 DDCP billets famille \n",
|
|
|
|
|
|
"106 DRE MucemLab \n",
|
|
|
|
|
|
"39 DDCP Newsletter relais champ social \n",
|
|
|
|
|
|
"110 DRE institutionnels \n",
|
|
|
|
|
|
"48 DDCP PROMO Participants ateliers (adultes et enfants) \n",
|
|
|
|
|
|
"74 DDCP promo Plan B 2019 (concerts) \n",
|
|
|
|
|
|
"72 DDCP promo MD pass musées dps oct 2018 \n",
|
|
|
|
|
|
"94 DDCP rentrée culturelle 2023 \n",
|
|
|
|
|
|
"23 DDCP MD Procès du Siècle \n",
|
|
|
|
|
|
"186 ddcp_md_scene_ouverte_au_talent \n",
|
|
|
|
|
|
"108 DRE chercheurs \n",
|
|
|
|
|
|
"220 festival_jean_rouch \n",
|
|
|
|
|
|
"105 DRE Festival Jean Rouch \n",
|
|
|
|
|
|
"275 structures_etiquette champ social \n",
|
|
|
|
|
|
"86 DDCP promo spectateurs prog 21-22 (spectacles, ciné, ateliers) \n",
|
|
|
|
|
|
"\n",
|
|
|
|
|
|
" customer_id cumulative_customers \n",
|
|
|
|
|
|
"161 0.992333 0.195306 \n",
|
|
|
|
|
|
"160 0.992194 0.390585 \n",
|
|
|
|
|
|
"158 0.720493 0.532390 \n",
|
|
|
|
|
|
"5 0.232973 0.578242 \n",
|
|
|
|
|
|
"165 0.228389 0.623193 \n",
|
|
|
|
|
|
"19 0.152191 0.653146 \n",
|
|
|
|
|
|
"162 0.146171 0.681915 \n",
|
|
|
|
|
|
"169 0.124736 0.706465 \n",
|
|
|
|
|
|
"170 0.104155 0.726964 \n",
|
|
|
|
|
|
"166 0.094788 0.745620 \n",
|
|
|
|
|
|
"164 0.094067 0.764134 \n",
|
|
|
|
|
|
"126 0.093187 0.782474 \n",
|
|
|
|
|
|
"157 0.084249 0.799056 \n",
|
|
|
|
|
|
"216 0.081735 0.815142 \n",
|
|
|
|
|
|
"20 0.077025 0.830302 \n",
|
|
|
|
|
|
"115 0.069364 0.843954 \n",
|
|
|
|
|
|
"214 0.043927 0.852600 \n",
|
|
|
|
|
|
"189 0.039759 0.860425 \n",
|
|
|
|
|
|
"188 0.036266 0.867563 \n",
|
|
|
|
|
|
"163 0.032079 0.873876 \n",
|
|
|
|
|
|
"159 0.029949 0.879771 \n",
|
|
|
|
|
|
"34 0.029836 0.885643 \n",
|
|
|
|
|
|
"36 0.025549 0.890671 \n",
|
|
|
|
|
|
"127 0.024689 0.895531 \n",
|
|
|
|
|
|
"145 0.024577 0.900368 \n",
|
|
|
|
|
|
"61 0.023876 0.905067 \n",
|
|
|
|
|
|
"106 0.015229 0.908064 \n",
|
|
|
|
|
|
"39 0.015017 0.911020 \n",
|
|
|
|
|
|
"110 0.014746 0.913922 \n",
|
|
|
|
|
|
"48 0.012927 0.916466 \n",
|
|
|
|
|
|
"74 0.012887 0.919003 \n",
|
|
|
|
|
|
"72 0.011809 0.921327 \n",
|
|
|
|
|
|
"94 0.011624 0.923614 \n",
|
|
|
|
|
|
"23 0.011141 0.925807 \n",
|
|
|
|
|
|
"186 0.010433 0.927860 \n",
|
|
|
|
|
|
"108 0.010300 0.929888 \n",
|
|
|
|
|
|
"220 0.009937 0.931843 \n",
|
|
|
|
|
|
"105 0.009937 0.933799 \n",
|
|
|
|
|
|
"275 0.009844 0.935736 \n",
|
|
|
|
|
|
"86 0.008554 0.937420 "
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
"execution_count": 72,
|
|
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"output_type": "execute_result"
|
|
|
|
|
|
}
|
|
|
|
|
|
],
|
|
|
|
|
|
"source": [
|
|
|
|
|
|
"print_main_target('1')"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "markdown",
|
|
|
|
|
|
"id": "31941e25",
|
|
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"source": [
|
|
|
|
|
|
"### Entreprise 2"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
|
"execution_count": 73,
|
|
|
|
|
|
"id": "b57a28ac",
|
|
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"outputs": [
|
|
|
|
|
|
{
|
|
|
|
|
|
"name": "stdout",
|
|
|
|
|
|
"output_type": "stream",
|
|
|
|
|
|
"text": [
|
|
|
|
|
|
"File path : projet-bdc2324-team1/0_Input/Company_2/target_information.csv\n",
|
|
|
|
|
|
"Nombre de ciblage : 260283\n",
|
|
|
|
|
|
"Nombre de client avec étiquette target : 233320\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>target_name</th>\n",
|
|
|
|
|
|
" <th>customer_id</th>\n",
|
|
|
|
|
|
" <th>cumulative_customers</th>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" </thead>\n",
|
|
|
|
|
|
" <tbody>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>13</th>\n",
|
|
|
|
|
|
" <td>Schokoladentour & Führungen Individuals</td>\n",
|
|
|
|
|
|
" <td>0.927906</td>\n",
|
|
|
|
|
|
" <td>0.831783</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>3</th>\n",
|
|
|
|
|
|
" <td>Chocolateria Kurse 2023</td>\n",
|
|
|
|
|
|
" <td>0.073963</td>\n",
|
|
|
|
|
|
" <td>0.898084</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>16</th>\n",
|
|
|
|
|
|
" <td>mailxpert_contacts_2023-07-18_12-04-00 langue</td>\n",
|
|
|
|
|
|
" <td>0.025519</td>\n",
|
|
|
|
|
|
" <td>0.920959</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>15</th>\n",
|
|
|
|
|
|
" <td>mailxpert_contacts_2023-07-18_12-04-00</td>\n",
|
|
|
|
|
|
" <td>0.025519</td>\n",
|
|
|
|
|
|
" <td>0.943834</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>8</th>\n",
|
|
|
|
|
|
" <td>Newsletter opt-in Allgemein</td>\n",
|
|
|
|
|
|
" <td>0.022836</td>\n",
|
|
|
|
|
|
" <td>0.964304</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>12</th>\n",
|
|
|
|
|
|
" <td>Schokoladentour & Führungen Gruppen / Schulen</td>\n",
|
|
|
|
|
|
" <td>0.011555</td>\n",
|
|
|
|
|
|
" <td>0.974662</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>5</th>\n",
|
|
|
|
|
|
" <td>Newsletter DE</td>\n",
|
|
|
|
|
|
" <td>0.010749</td>\n",
|
|
|
|
|
|
" <td>0.984298</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>7</th>\n",
|
|
|
|
|
|
" <td>Newsletter FR</td>\n",
|
|
|
|
|
|
" <td>0.008520</td>\n",
|
|
|
|
|
|
" <td>0.991936</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>6</th>\n",
|
|
|
|
|
|
" <td>Newsletter EN</td>\n",
|
|
|
|
|
|
" <td>0.004286</td>\n",
|
|
|
|
|
|
" <td>0.995778</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>4</th>\n",
|
|
|
|
|
|
" <td>Frauen in Zürich - Schulung</td>\n",
|
|
|
|
|
|
" <td>0.001003</td>\n",
|
|
|
|
|
|
" <td>0.996677</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>17</th>\n",
|
|
|
|
|
|
" <td>mailxpert_contacts_2023-07-18_13-25-45_inaktiv</td>\n",
|
|
|
|
|
|
" <td>0.000471</td>\n",
|
|
|
|
|
|
" <td>0.997099</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>11</th>\n",
|
|
|
|
|
|
" <td>Opt-in-Website DE</td>\n",
|
|
|
|
|
|
" <td>0.000030</td>\n",
|
|
|
|
|
|
" <td>0.997126</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>9</th>\n",
|
|
|
|
|
|
" <td>Opt-in Website EN</td>\n",
|
|
|
|
|
|
" <td>0.000009</td>\n",
|
|
|
|
|
|
" <td>0.997134</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>10</th>\n",
|
|
|
|
|
|
" <td>Opt-in Website FR</td>\n",
|
|
|
|
|
|
" <td>0.000004</td>\n",
|
|
|
|
|
|
" <td>0.997138</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>14</th>\n",
|
|
|
|
|
|
" <td>Votre première liste</td>\n",
|
|
|
|
|
|
" <td>0.000004</td>\n",
|
|
|
|
|
|
" <td>0.997142</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>1</th>\n",
|
|
|
|
|
|
" <td>Activated contact EN</td>\n",
|
|
|
|
|
|
" <td>0.000004</td>\n",
|
|
|
|
|
|
" <td>0.997145</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>2</th>\n",
|
|
|
|
|
|
" <td>Activated contact FR</td>\n",
|
|
|
|
|
|
" <td>0.000004</td>\n",
|
|
|
|
|
|
" <td>0.997149</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>0</th>\n",
|
|
|
|
|
|
" <td>Activated contact DE</td>\n",
|
|
|
|
|
|
" <td>0.000004</td>\n",
|
|
|
|
|
|
" <td>0.997153</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" </tbody>\n",
|
|
|
|
|
|
"</table>\n",
|
|
|
|
|
|
"</div>"
|
|
|
|
|
|
],
|
|
|
|
|
|
"text/plain": [
|
|
|
|
|
|
" target_name customer_id \\\n",
|
|
|
|
|
|
"13 Schokoladentour & Führungen Individuals 0.927906 \n",
|
|
|
|
|
|
"3 Chocolateria Kurse 2023 0.073963 \n",
|
|
|
|
|
|
"16 mailxpert_contacts_2023-07-18_12-04-00 langue 0.025519 \n",
|
|
|
|
|
|
"15 mailxpert_contacts_2023-07-18_12-04-00 0.025519 \n",
|
|
|
|
|
|
"8 Newsletter opt-in Allgemein 0.022836 \n",
|
|
|
|
|
|
"12 Schokoladentour & Führungen Gruppen / Schulen 0.011555 \n",
|
|
|
|
|
|
"5 Newsletter DE 0.010749 \n",
|
|
|
|
|
|
"7 Newsletter FR 0.008520 \n",
|
|
|
|
|
|
"6 Newsletter EN 0.004286 \n",
|
|
|
|
|
|
"4 Frauen in Zürich - Schulung 0.001003 \n",
|
|
|
|
|
|
"17 mailxpert_contacts_2023-07-18_13-25-45_inaktiv 0.000471 \n",
|
|
|
|
|
|
"11 Opt-in-Website DE 0.000030 \n",
|
|
|
|
|
|
"9 Opt-in Website EN 0.000009 \n",
|
|
|
|
|
|
"10 Opt-in Website FR 0.000004 \n",
|
|
|
|
|
|
"14 Votre première liste 0.000004 \n",
|
|
|
|
|
|
"1 Activated contact EN 0.000004 \n",
|
|
|
|
|
|
"2 Activated contact FR 0.000004 \n",
|
|
|
|
|
|
"0 Activated contact DE 0.000004 \n",
|
|
|
|
|
|
"\n",
|
|
|
|
|
|
" cumulative_customers \n",
|
|
|
|
|
|
"13 0.831783 \n",
|
|
|
|
|
|
"3 0.898084 \n",
|
|
|
|
|
|
"16 0.920959 \n",
|
|
|
|
|
|
"15 0.943834 \n",
|
|
|
|
|
|
"8 0.964304 \n",
|
|
|
|
|
|
"12 0.974662 \n",
|
|
|
|
|
|
"5 0.984298 \n",
|
|
|
|
|
|
"7 0.991936 \n",
|
|
|
|
|
|
"6 0.995778 \n",
|
|
|
|
|
|
"4 0.996677 \n",
|
|
|
|
|
|
"17 0.997099 \n",
|
|
|
|
|
|
"11 0.997126 \n",
|
|
|
|
|
|
"9 0.997134 \n",
|
|
|
|
|
|
"10 0.997138 \n",
|
|
|
|
|
|
"14 0.997142 \n",
|
|
|
|
|
|
"1 0.997145 \n",
|
|
|
|
|
|
"2 0.997149 \n",
|
|
|
|
|
|
"0 0.997153 "
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
"execution_count": 73,
|
|
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"output_type": "execute_result"
|
|
|
|
|
|
}
|
|
|
|
|
|
],
|
|
|
|
|
|
"source": [
|
|
|
|
|
|
"print_main_target('2', 25)"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
|
"execution_count": 77,
|
|
|
|
|
|
"id": "9a65991f",
|
|
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"outputs": [
|
|
|
|
|
|
{
|
|
|
|
|
|
"name": "stdout",
|
|
|
|
|
|
"output_type": "stream",
|
|
|
|
|
|
"text": [
|
|
|
|
|
|
"File path : projet-bdc2324-team1/0_Input/Company_3/target_information.csv\n",
|
|
|
|
|
|
"Nombre de ciblage : 1617362\n",
|
|
|
|
|
|
"Nombre de client avec étiquette target : 257018\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>target_name</th>\n",
|
|
|
|
|
|
" <th>customer_id</th>\n",
|
|
|
|
|
|
" <th>cumulative_customers</th>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" </thead>\n",
|
|
|
|
|
|
" <tbody>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>67</th>\n",
|
|
|
|
|
|
" <td>MKG_NLmensuelle_2021_OK</td>\n",
|
|
|
|
|
|
" <td>0.972348</td>\n",
|
|
|
|
|
|
" <td>0.154518</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>66</th>\n",
|
|
|
|
|
|
" <td>MKG_NLmensuelle_2021</td>\n",
|
|
|
|
|
|
" <td>0.956007</td>\n",
|
|
|
|
|
|
" <td>0.306439</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>119</th>\n",
|
|
|
|
|
|
" <td>consent_optin_nl</td>\n",
|
|
|
|
|
|
" <td>0.636648</td>\n",
|
|
|
|
|
|
" <td>0.407609</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>115</th>\n",
|
|
|
|
|
|
" <td>consent_optin_general</td>\n",
|
|
|
|
|
|
" <td>0.602506</td>\n",
|
|
|
|
|
|
" <td>0.503355</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>78</th>\n",
|
|
|
|
|
|
" <td>Mkg_NL_mensuelle3</td>\n",
|
|
|
|
|
|
" <td>0.404162</td>\n",
|
|
|
|
|
|
" <td>0.567581</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>125</th>\n",
|
|
|
|
|
|
" <td>consent_optout_general</td>\n",
|
|
|
|
|
|
" <td>0.368126</td>\n",
|
|
|
|
|
|
" <td>0.626081</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>104</th>\n",
|
|
|
|
|
|
" <td>TEST LOCBASE</td>\n",
|
|
|
|
|
|
" <td>0.350532</td>\n",
|
|
|
|
|
|
" <td>0.681784</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>68</th>\n",
|
|
|
|
|
|
" <td>MKG_Non_inscrit_liste_08-22</td>\n",
|
|
|
|
|
|
" <td>0.310605</td>\n",
|
|
|
|
|
|
" <td>0.731143</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>116</th>\n",
|
|
|
|
|
|
" <td>consent_optin_general_HISTORIQUE</td>\n",
|
|
|
|
|
|
" <td>0.301345</td>\n",
|
|
|
|
|
|
" <td>0.779030</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>80</th>\n",
|
|
|
|
|
|
" <td>Mkg_Zone_C</td>\n",
|
|
|
|
|
|
" <td>0.135298</td>\n",
|
|
|
|
|
|
" <td>0.800531</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>7</th>\n",
|
|
|
|
|
|
" <td>Acheteurs_100km_visite_depuismax5ans</td>\n",
|
|
|
|
|
|
" <td>0.091149</td>\n",
|
|
|
|
|
|
" <td>0.815015</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>54</th>\n",
|
|
|
|
|
|
" <td>Inscription NL ancien site web</td>\n",
|
|
|
|
|
|
" <td>0.083477</td>\n",
|
|
|
|
|
|
" <td>0.828281</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>112</th>\n",
|
|
|
|
|
|
" <td>consent_optin_equestre</td>\n",
|
|
|
|
|
|
" <td>0.083216</td>\n",
|
|
|
|
|
|
" <td>0.841505</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>79</th>\n",
|
|
|
|
|
|
" <td>Mkg_Zone_B</td>\n",
|
|
|
|
|
|
" <td>0.079889</td>\n",
|
|
|
|
|
|
" <td>0.854200</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>65</th>\n",
|
|
|
|
|
|
" <td>MKG_2022_ZoneB&ZoneC_Famille</td>\n",
|
|
|
|
|
|
" <td>0.072536</td>\n",
|
|
|
|
|
|
" <td>0.865727</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>111</th>\n",
|
|
|
|
|
|
" <td>consent_optin_b2b</td>\n",
|
|
|
|
|
|
" <td>0.064388</td>\n",
|
|
|
|
|
|
" <td>0.875959</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>102</th>\n",
|
|
|
|
|
|
" <td>Soft_Bounce_yahoo</td>\n",
|
|
|
|
|
|
" <td>0.064182</td>\n",
|
|
|
|
|
|
" <td>0.886158</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>100</th>\n",
|
|
|
|
|
|
" <td>Scénario Anniversaire</td>\n",
|
|
|
|
|
|
" <td>0.051249</td>\n",
|
|
|
|
|
|
" <td>0.894303</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>37</th>\n",
|
|
|
|
|
|
" <td>B2B_scolaire_et_centres_de_loisirs_2023</td>\n",
|
|
|
|
|
|
" <td>0.046732</td>\n",
|
|
|
|
|
|
" <td>0.901729</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>20</th>\n",
|
|
|
|
|
|
" <td>B2B_Sans étiquette</td>\n",
|
|
|
|
|
|
" <td>0.040472</td>\n",
|
|
|
|
|
|
" <td>0.908160</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>122</th>\n",
|
|
|
|
|
|
" <td>consent_optout_equestre</td>\n",
|
|
|
|
|
|
" <td>0.038865</td>\n",
|
|
|
|
|
|
" <td>0.914336</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>17</th>\n",
|
|
|
|
|
|
" <td>B2B_Inscrits newsletter Scolaires</td>\n",
|
|
|
|
|
|
" <td>0.038075</td>\n",
|
|
|
|
|
|
" <td>0.920387</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>28</th>\n",
|
|
|
|
|
|
" <td>B2B_historique_newsletter_SCOLAIRES</td>\n",
|
|
|
|
|
|
" <td>0.038040</td>\n",
|
|
|
|
|
|
" <td>0.926432</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>118</th>\n",
|
|
|
|
|
|
" <td>consent_optin_jdp</td>\n",
|
|
|
|
|
|
" <td>0.036110</td>\n",
|
|
|
|
|
|
" <td>0.932170</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>76</th>\n",
|
|
|
|
|
|
" <td>MKG_aire cantilienne</td>\n",
|
|
|
|
|
|
" <td>0.031908</td>\n",
|
|
|
|
|
|
" <td>0.937241</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>21</th>\n",
|
|
|
|
|
|
" <td>B2B_Sans étiquette FR+BE</td>\n",
|
|
|
|
|
|
" <td>0.029165</td>\n",
|
|
|
|
|
|
" <td>0.941876</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>108</th>\n",
|
|
|
|
|
|
" <td>b2b - écoles mai 2021</td>\n",
|
|
|
|
|
|
" <td>0.028574</td>\n",
|
|
|
|
|
|
" <td>0.946416</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>86</th>\n",
|
|
|
|
|
|
" <td>Ouvreur_NL_juin_2021</td>\n",
|
|
|
|
|
|
" <td>0.018193</td>\n",
|
|
|
|
|
|
" <td>0.949308</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>126</th>\n",
|
|
|
|
|
|
" <td>consent_optout_jdp</td>\n",
|
|
|
|
|
|
" <td>0.016816</td>\n",
|
|
|
|
|
|
" <td>0.951980</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>127</th>\n",
|
|
|
|
|
|
" <td>consent_optout_nl</td>\n",
|
|
|
|
|
|
" <td>0.016633</td>\n",
|
|
|
|
|
|
" <td>0.954623</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>13</th>\n",
|
|
|
|
|
|
" <td>B2B_CE_2023</td>\n",
|
|
|
|
|
|
" <td>0.016489</td>\n",
|
|
|
|
|
|
" <td>0.957243</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>106</th>\n",
|
|
|
|
|
|
" <td>Visiteurs Aout-Sept sans questionnaire</td>\n",
|
|
|
|
|
|
" <td>0.016275</td>\n",
|
|
|
|
|
|
" <td>0.959830</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>89</th>\n",
|
|
|
|
|
|
" <td>Pass Annuel en cours de validité</td>\n",
|
|
|
|
|
|
" <td>0.011540</td>\n",
|
|
|
|
|
|
" <td>0.961663</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>114</th>\n",
|
|
|
|
|
|
" <td>consent_optin_expositions</td>\n",
|
|
|
|
|
|
" <td>0.011388</td>\n",
|
|
|
|
|
|
" <td>0.963473</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>22</th>\n",
|
|
|
|
|
|
" <td>B2B_Sans étiquette hors FR+BE</td>\n",
|
|
|
|
|
|
" <td>0.011307</td>\n",
|
|
|
|
|
|
" <td>0.965270</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>113</th>\n",
|
|
|
|
|
|
" <td>consent_optin_evenements</td>\n",
|
|
|
|
|
|
" <td>0.011240</td>\n",
|
|
|
|
|
|
" <td>0.967056</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>32</th>\n",
|
|
|
|
|
|
" <td>B2B_liste_à_requalifier_CE</td>\n",
|
|
|
|
|
|
" <td>0.010742</td>\n",
|
|
|
|
|
|
" <td>0.968763</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>110</th>\n",
|
|
|
|
|
|
" <td>consent_optin_abonnes_passannuels</td>\n",
|
|
|
|
|
|
" <td>0.009665</td>\n",
|
|
|
|
|
|
" <td>0.970299</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>152</th>\n",
|
|
|
|
|
|
" <td>liste mécènes donateurs 01012023-31102023</td>\n",
|
|
|
|
|
|
" <td>0.008746</td>\n",
|
|
|
|
|
|
" <td>0.971689</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>34</th>\n",
|
|
|
|
|
|
" <td>B2B_liste_à_requalifier_SCOLAIRES</td>\n",
|
|
|
|
|
|
" <td>0.008688</td>\n",
|
|
|
|
|
|
" <td>0.973070</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" </tbody>\n",
|
|
|
|
|
|
"</table>\n",
|
|
|
|
|
|
"</div>"
|
|
|
|
|
|
],
|
|
|
|
|
|
"text/plain": [
|
|
|
|
|
|
" target_name customer_id \\\n",
|
|
|
|
|
|
"67 MKG_NLmensuelle_2021_OK 0.972348 \n",
|
|
|
|
|
|
"66 MKG_NLmensuelle_2021 0.956007 \n",
|
|
|
|
|
|
"119 consent_optin_nl 0.636648 \n",
|
|
|
|
|
|
"115 consent_optin_general 0.602506 \n",
|
|
|
|
|
|
"78 Mkg_NL_mensuelle3 0.404162 \n",
|
|
|
|
|
|
"125 consent_optout_general 0.368126 \n",
|
|
|
|
|
|
"104 TEST LOCBASE 0.350532 \n",
|
|
|
|
|
|
"68 MKG_Non_inscrit_liste_08-22 0.310605 \n",
|
|
|
|
|
|
"116 consent_optin_general_HISTORIQUE 0.301345 \n",
|
|
|
|
|
|
"80 Mkg_Zone_C 0.135298 \n",
|
|
|
|
|
|
"7 Acheteurs_100km_visite_depuismax5ans 0.091149 \n",
|
|
|
|
|
|
"54 Inscription NL ancien site web 0.083477 \n",
|
|
|
|
|
|
"112 consent_optin_equestre 0.083216 \n",
|
|
|
|
|
|
"79 Mkg_Zone_B 0.079889 \n",
|
|
|
|
|
|
"65 MKG_2022_ZoneB&ZoneC_Famille 0.072536 \n",
|
|
|
|
|
|
"111 consent_optin_b2b 0.064388 \n",
|
|
|
|
|
|
"102 Soft_Bounce_yahoo 0.064182 \n",
|
|
|
|
|
|
"100 Scénario Anniversaire 0.051249 \n",
|
|
|
|
|
|
"37 B2B_scolaire_et_centres_de_loisirs_2023 0.046732 \n",
|
|
|
|
|
|
"20 B2B_Sans étiquette 0.040472 \n",
|
|
|
|
|
|
"122 consent_optout_equestre 0.038865 \n",
|
|
|
|
|
|
"17 B2B_Inscrits newsletter Scolaires 0.038075 \n",
|
|
|
|
|
|
"28 B2B_historique_newsletter_SCOLAIRES 0.038040 \n",
|
|
|
|
|
|
"118 consent_optin_jdp 0.036110 \n",
|
|
|
|
|
|
"76 MKG_aire cantilienne 0.031908 \n",
|
|
|
|
|
|
"21 B2B_Sans étiquette FR+BE 0.029165 \n",
|
|
|
|
|
|
"108 b2b - écoles mai 2021 0.028574 \n",
|
|
|
|
|
|
"86 Ouvreur_NL_juin_2021 0.018193 \n",
|
|
|
|
|
|
"126 consent_optout_jdp 0.016816 \n",
|
|
|
|
|
|
"127 consent_optout_nl 0.016633 \n",
|
|
|
|
|
|
"13 B2B_CE_2023 0.016489 \n",
|
|
|
|
|
|
"106 Visiteurs Aout-Sept sans questionnaire 0.016275 \n",
|
|
|
|
|
|
"89 Pass Annuel en cours de validité 0.011540 \n",
|
|
|
|
|
|
"114 consent_optin_expositions 0.011388 \n",
|
|
|
|
|
|
"22 B2B_Sans étiquette hors FR+BE 0.011307 \n",
|
|
|
|
|
|
"113 consent_optin_evenements 0.011240 \n",
|
|
|
|
|
|
"32 B2B_liste_à_requalifier_CE 0.010742 \n",
|
|
|
|
|
|
"110 consent_optin_abonnes_passannuels 0.009665 \n",
|
|
|
|
|
|
"152 liste mécènes donateurs 01012023-31102023 0.008746 \n",
|
|
|
|
|
|
"34 B2B_liste_à_requalifier_SCOLAIRES 0.008688 \n",
|
|
|
|
|
|
"\n",
|
|
|
|
|
|
" cumulative_customers \n",
|
|
|
|
|
|
"67 0.154518 \n",
|
|
|
|
|
|
"66 0.306439 \n",
|
|
|
|
|
|
"119 0.407609 \n",
|
|
|
|
|
|
"115 0.503355 \n",
|
|
|
|
|
|
"78 0.567581 \n",
|
|
|
|
|
|
"125 0.626081 \n",
|
|
|
|
|
|
"104 0.681784 \n",
|
|
|
|
|
|
"68 0.731143 \n",
|
|
|
|
|
|
"116 0.779030 \n",
|
|
|
|
|
|
"80 0.800531 \n",
|
|
|
|
|
|
"7 0.815015 \n",
|
|
|
|
|
|
"54 0.828281 \n",
|
|
|
|
|
|
"112 0.841505 \n",
|
|
|
|
|
|
"79 0.854200 \n",
|
|
|
|
|
|
"65 0.865727 \n",
|
|
|
|
|
|
"111 0.875959 \n",
|
|
|
|
|
|
"102 0.886158 \n",
|
|
|
|
|
|
"100 0.894303 \n",
|
|
|
|
|
|
"37 0.901729 \n",
|
|
|
|
|
|
"20 0.908160 \n",
|
|
|
|
|
|
"122 0.914336 \n",
|
|
|
|
|
|
"17 0.920387 \n",
|
|
|
|
|
|
"28 0.926432 \n",
|
|
|
|
|
|
"118 0.932170 \n",
|
|
|
|
|
|
"76 0.937241 \n",
|
|
|
|
|
|
"21 0.941876 \n",
|
|
|
|
|
|
"108 0.946416 \n",
|
|
|
|
|
|
"86 0.949308 \n",
|
|
|
|
|
|
"126 0.951980 \n",
|
|
|
|
|
|
"127 0.954623 \n",
|
|
|
|
|
|
"13 0.957243 \n",
|
|
|
|
|
|
"106 0.959830 \n",
|
|
|
|
|
|
"89 0.961663 \n",
|
|
|
|
|
|
"114 0.963473 \n",
|
|
|
|
|
|
"22 0.965270 \n",
|
|
|
|
|
|
"113 0.967056 \n",
|
|
|
|
|
|
"32 0.968763 \n",
|
|
|
|
|
|
"110 0.970299 \n",
|
|
|
|
|
|
"152 0.971689 \n",
|
|
|
|
|
|
"34 0.973070 "
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
"execution_count": 77,
|
|
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"output_type": "execute_result"
|
|
|
|
|
|
}
|
|
|
|
|
|
],
|
|
|
|
|
|
"source": [
|
|
|
|
|
|
"print_main_target('3', 40)"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
|
"execution_count": 65,
|
|
|
|
|
|
"id": "c66a4dc1",
|
|
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"outputs": [],
|
|
|
|
|
|
"source": [
|
|
|
|
|
|
"pd.set_option('display.max_rows', None)\n"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
|
"execution_count": 78,
|
|
|
|
|
|
"id": "5f34b8bf",
|
|
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"outputs": [
|
|
|
|
|
|
{
|
|
|
|
|
|
"name": "stdout",
|
|
|
|
|
|
"output_type": "stream",
|
|
|
|
|
|
"text": [
|
|
|
|
|
|
"File path : projet-bdc2324-team1/0_Input/Company_4/target_information.csv\n",
|
|
|
|
|
|
"Nombre de ciblage : 4627640\n",
|
|
|
|
|
|
"Nombre de client avec étiquette target : 320813\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>target_name</th>\n",
|
|
|
|
|
|
" <th>customer_id</th>\n",
|
|
|
|
|
|
" <th>cumulative_customers</th>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" </thead>\n",
|
|
|
|
|
|
" <tbody>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>232</th>\n",
|
|
|
|
|
|
" <td>Tous les contacts mis à jour</td>\n",
|
|
|
|
|
|
" <td>0.999991</td>\n",
|
|
|
|
|
|
" <td>0.069325</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>76</th>\n",
|
|
|
|
|
|
" <td>Base données</td>\n",
|
|
|
|
|
|
" <td>0.999991</td>\n",
|
|
|
|
|
|
" <td>0.138650</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>191</th>\n",
|
|
|
|
|
|
" <td>Office de Tourisme</td>\n",
|
|
|
|
|
|
" <td>0.999991</td>\n",
|
|
|
|
|
|
" <td>0.207974</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>128</th>\n",
|
|
|
|
|
|
" <td>Globale sans VIP</td>\n",
|
|
|
|
|
|
" <td>0.955488</td>\n",
|
|
|
|
|
|
" <td>0.274214</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>112</th>\n",
|
|
|
|
|
|
" <td>Contacts structures</td>\n",
|
|
|
|
|
|
" <td>0.929969</td>\n",
|
|
|
|
|
|
" <td>0.338684</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>98</th>\n",
|
|
|
|
|
|
" <td>Cible gratuité IMA COMEDY</td>\n",
|
|
|
|
|
|
" <td>0.636246</td>\n",
|
|
|
|
|
|
" <td>0.382792</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>23</th>\n",
|
|
|
|
|
|
" <td>2 IEME ENVOI IMA COMEDY CLUB</td>\n",
|
|
|
|
|
|
" <td>0.630389</td>\n",
|
|
|
|
|
|
" <td>0.426494</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>64</th>\n",
|
|
|
|
|
|
" <td>Actions Marketing ARABOFOLIES</td>\n",
|
|
|
|
|
|
" <td>0.627917</td>\n",
|
|
|
|
|
|
" <td>0.470025</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>171</th>\n",
|
|
|
|
|
|
" <td>Liste globale sans VIP</td>\n",
|
|
|
|
|
|
" <td>0.582183</td>\n",
|
|
|
|
|
|
" <td>0.510385</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>126</th>\n",
|
|
|
|
|
|
" <td>Formulaire inscription mallette \"Cultures en partage\"</td>\n",
|
|
|
|
|
|
" <td>0.532831</td>\n",
|
|
|
|
|
|
" <td>0.547324</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>78</th>\n",
|
|
|
|
|
|
" <td>CAMPAGNE ADHESION 2023</td>\n",
|
|
|
|
|
|
" <td>0.449371</td>\n",
|
|
|
|
|
|
" <td>0.578477</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>234</th>\n",
|
|
|
|
|
|
" <td>Tous les optins</td>\n",
|
|
|
|
|
|
" <td>0.412546</td>\n",
|
|
|
|
|
|
" <td>0.607076</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>192</th>\n",
|
|
|
|
|
|
" <td>Optin 2023</td>\n",
|
|
|
|
|
|
" <td>0.365057</td>\n",
|
|
|
|
|
|
" <td>0.632384</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>170</th>\n",
|
|
|
|
|
|
" <td>Liste globale optin-15-01-2021</td>\n",
|
|
|
|
|
|
" <td>0.325482</td>\n",
|
|
|
|
|
|
" <td>0.654948</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>10</th>\n",
|
|
|
|
|
|
" <td>10-03-sb-dolist</td>\n",
|
|
|
|
|
|
" <td>0.193833</td>\n",
|
|
|
|
|
|
" <td>0.668386</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>195</th>\n",
|
|
|
|
|
|
" <td>Origine - Nouba</td>\n",
|
|
|
|
|
|
" <td>0.192452</td>\n",
|
|
|
|
|
|
" <td>0.681728</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>158</th>\n",
|
|
|
|
|
|
" <td>LIVE2022_Intérêt Expositions musée</td>\n",
|
|
|
|
|
|
" <td>0.173550</td>\n",
|
|
|
|
|
|
" <td>0.693759</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>414</th>\n",
|
|
|
|
|
|
" <td>old_Intéressés par la Musique</td>\n",
|
|
|
|
|
|
" <td>0.166505</td>\n",
|
|
|
|
|
|
" <td>0.705302</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>415</th>\n",
|
|
|
|
|
|
" <td>old_Intérêt Danse</td>\n",
|
|
|
|
|
|
" <td>0.163572</td>\n",
|
|
|
|
|
|
" <td>0.716642</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>100</th>\n",
|
|
|
|
|
|
" <td>Cible offre DAOUD DEPARDON</td>\n",
|
|
|
|
|
|
" <td>0.130372</td>\n",
|
|
|
|
|
|
" <td>0.725680</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>12</th>\n",
|
|
|
|
|
|
" <td>13-04-2022-vente 2021</td>\n",
|
|
|
|
|
|
" <td>0.128804</td>\n",
|
|
|
|
|
|
" <td>0.734609</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>73</th>\n",
|
|
|
|
|
|
" <td>Arabofolies Juillet 2022</td>\n",
|
|
|
|
|
|
" <td>0.109123</td>\n",
|
|
|
|
|
|
" <td>0.742174</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>137</th>\n",
|
|
|
|
|
|
" <td>Intérêt LGBTQ+</td>\n",
|
|
|
|
|
|
" <td>0.108917</td>\n",
|
|
|
|
|
|
" <td>0.749725</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>274</th>\n",
|
|
|
|
|
|
" <td>blacklistés ima</td>\n",
|
|
|
|
|
|
" <td>0.105407</td>\n",
|
|
|
|
|
|
" <td>0.757032</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>208</th>\n",
|
|
|
|
|
|
" <td>Public traditionnel</td>\n",
|
|
|
|
|
|
" <td>0.083821</td>\n",
|
|
|
|
|
|
" <td>0.762843</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>159</th>\n",
|
|
|
|
|
|
" <td>LIVE2022_Intérêt Humour</td>\n",
|
|
|
|
|
|
" <td>0.082858</td>\n",
|
|
|
|
|
|
" <td>0.768587</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>99</th>\n",
|
|
|
|
|
|
" <td>Cible jeunes humour</td>\n",
|
|
|
|
|
|
" <td>0.080312</td>\n",
|
|
|
|
|
|
" <td>0.774155</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>213</th>\n",
|
|
|
|
|
|
" <td>Relance gratuité IMA COMEDY CLUB</td>\n",
|
|
|
|
|
|
" <td>0.079205</td>\n",
|
|
|
|
|
|
" <td>0.779646</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>101</th>\n",
|
|
|
|
|
|
" <td>Cible rencontres et débats</td>\n",
|
|
|
|
|
|
" <td>0.076743</td>\n",
|
|
|
|
|
|
" <td>0.784966</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>189</th>\n",
|
|
|
|
|
|
" <td>Nouveaux inscrits newsletter</td>\n",
|
|
|
|
|
|
" <td>0.076200</td>\n",
|
|
|
|
|
|
" <td>0.790249</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>349</th>\n",
|
|
|
|
|
|
" <td>interet nuit du cinéma</td>\n",
|
|
|
|
|
|
" <td>0.072260</td>\n",
|
|
|
|
|
|
" <td>0.795258</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>141</th>\n",
|
|
|
|
|
|
" <td>Intérêt prononcé pour la nuit du ramadan</td>\n",
|
|
|
|
|
|
" <td>0.072254</td>\n",
|
|
|
|
|
|
" <td>0.800267</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>87</th>\n",
|
|
|
|
|
|
" <td>Cible Algérie</td>\n",
|
|
|
|
|
|
" <td>0.070337</td>\n",
|
|
|
|
|
|
" <td>0.805143</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>93</th>\n",
|
|
|
|
|
|
" <td>Cible News offre spéciale humour</td>\n",
|
|
|
|
|
|
" <td>0.069296</td>\n",
|
|
|
|
|
|
" <td>0.809947</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>140</th>\n",
|
|
|
|
|
|
" <td>Intérêt musique électro</td>\n",
|
|
|
|
|
|
" <td>0.068716</td>\n",
|
|
|
|
|
|
" <td>0.814711</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>280</th>\n",
|
|
|
|
|
|
" <td>cible Histoire et feminisme</td>\n",
|
|
|
|
|
|
" <td>0.068585</td>\n",
|
|
|
|
|
|
" <td>0.819466</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>174</th>\n",
|
|
|
|
|
|
" <td>Liste relais pour présentation 2023</td>\n",
|
|
|
|
|
|
" <td>0.067404</td>\n",
|
|
|
|
|
|
" <td>0.824139</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>138</th>\n",
|
|
|
|
|
|
" <td>Intérêt musique Orientale</td>\n",
|
|
|
|
|
|
" <td>0.066082</td>\n",
|
|
|
|
|
|
" <td>0.828720</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>18</th>\n",
|
|
|
|
|
|
" <td>16-07-21-nuit-du-cinema</td>\n",
|
|
|
|
|
|
" <td>0.065166</td>\n",
|
|
|
|
|
|
" <td>0.833237</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>204</th>\n",
|
|
|
|
|
|
" <td>Profil Client Expos Divas (Geo)</td>\n",
|
|
|
|
|
|
" <td>0.063401</td>\n",
|
|
|
|
|
|
" <td>0.837633</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>265</th>\n",
|
|
|
|
|
|
" <td>araborolies/Divas/relance</td>\n",
|
|
|
|
|
|
" <td>0.061647</td>\n",
|
|
|
|
|
|
" <td>0.841906</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>203</th>\n",
|
|
|
|
|
|
" <td>Profil Client Expo Divas</td>\n",
|
|
|
|
|
|
" <td>0.061138</td>\n",
|
|
|
|
|
|
" <td>0.846145</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>233</th>\n",
|
|
|
|
|
|
" <td>Tous les inscrits aux newsletters via le formulaire du site web</td>\n",
|
|
|
|
|
|
" <td>0.057407</td>\n",
|
|
|
|
|
|
" <td>0.850125</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>243</th>\n",
|
|
|
|
|
|
" <td>VIP Générale</td>\n",
|
|
|
|
|
|
" <td>0.053682</td>\n",
|
|
|
|
|
|
" <td>0.853846</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>226</th>\n",
|
|
|
|
|
|
" <td>Strcutures sans VIP</td>\n",
|
|
|
|
|
|
" <td>0.053396</td>\n",
|
|
|
|
|
|
" <td>0.857548</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>67</th>\n",
|
|
|
|
|
|
" <td>Agi pour buren</td>\n",
|
|
|
|
|
|
" <td>0.051575</td>\n",
|
|
|
|
|
|
" <td>0.861123</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>144</th>\n",
|
|
|
|
|
|
" <td>Invitation à l'exposition Palestine LANG</td>\n",
|
|
|
|
|
|
" <td>0.051092</td>\n",
|
|
|
|
|
|
" <td>0.864665</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>62</th>\n",
|
|
|
|
|
|
" <td>Acheteurs individuels de l'expo Juifs d'orient statique</td>\n",
|
|
|
|
|
|
" <td>0.046526</td>\n",
|
|
|
|
|
|
" <td>0.867891</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>61</th>\n",
|
|
|
|
|
|
" <td>Acheteurs individuels de l'expo Juifs d'orient</td>\n",
|
|
|
|
|
|
" <td>0.046513</td>\n",
|
|
|
|
|
|
" <td>0.871115</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>95</th>\n",
|
|
|
|
|
|
" <td>Cible arabic Sound system</td>\n",
|
|
|
|
|
|
" <td>0.046164</td>\n",
|
|
|
|
|
|
" <td>0.874316</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>244</th>\n",
|
|
|
|
|
|
" <td>VIP STATIQUE</td>\n",
|
|
|
|
|
|
" <td>0.041158</td>\n",
|
|
|
|
|
|
" <td>0.877169</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>245</th>\n",
|
|
|
|
|
|
" <td>VIP Téléchargement</td>\n",
|
|
|
|
|
|
" <td>0.040737</td>\n",
|
|
|
|
|
|
" <td>0.879993</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>102</th>\n",
|
|
|
|
|
|
" <td>Cible scolaire 2022</td>\n",
|
|
|
|
|
|
" <td>0.040313</td>\n",
|
|
|
|
|
|
" <td>0.882788</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>90</th>\n",
|
|
|
|
|
|
" <td>Cible Maroc</td>\n",
|
|
|
|
|
|
" <td>0.039827</td>\n",
|
|
|
|
|
|
" <td>0.885549</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>91</th>\n",
|
|
|
|
|
|
" <td>Cible Maroc</td>\n",
|
|
|
|
|
|
" <td>0.039827</td>\n",
|
|
|
|
|
|
" <td>0.888310</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>41</th>\n",
|
|
|
|
|
|
" <td>26mai-2023-Structures-invit-palestine</td>\n",
|
|
|
|
|
|
" <td>0.039188</td>\n",
|
|
|
|
|
|
" <td>0.891027</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>393</th>\n",
|
|
|
|
|
|
" <td>liste_contacts_agi_2021_02_16_</td>\n",
|
|
|
|
|
|
" <td>0.033618</td>\n",
|
|
|
|
|
|
" <td>0.893357</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>450</th>\n",
|
|
|
|
|
|
" <td>sb-fichier-eudonet-ok-18-05-21</td>\n",
|
|
|
|
|
|
" <td>0.032056</td>\n",
|
|
|
|
|
|
" <td>0.895579</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>4</th>\n",
|
|
|
|
|
|
" <td>04_11_22_eudonet</td>\n",
|
|
|
|
|
|
" <td>0.031857</td>\n",
|
|
|
|
|
|
" <td>0.897788</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>215</th>\n",
|
|
|
|
|
|
" <td>SB-18-05-VIP-eudonet</td>\n",
|
|
|
|
|
|
" <td>0.031857</td>\n",
|
|
|
|
|
|
" <td>0.899996</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>175</th>\n",
|
|
|
|
|
|
" <td>Liste vernissage</td>\n",
|
|
|
|
|
|
" <td>0.031364</td>\n",
|
|
|
|
|
|
" <td>0.902171</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>235</th>\n",
|
|
|
|
|
|
" <td>Tous les relais</td>\n",
|
|
|
|
|
|
" <td>0.031090</td>\n",
|
|
|
|
|
|
" <td>0.904326</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>252</th>\n",
|
|
|
|
|
|
" <td>Visiteurs expo pour questionnaires</td>\n",
|
|
|
|
|
|
" <td>0.029930</td>\n",
|
|
|
|
|
|
" <td>0.906401</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>223</th>\n",
|
|
|
|
|
|
" <td>Scolaires - Actions Educatives 24/11/2021</td>\n",
|
|
|
|
|
|
" <td>0.029871</td>\n",
|
|
|
|
|
|
" <td>0.908472</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>92</th>\n",
|
|
|
|
|
|
" <td>Cible Musique Judeo-arabe</td>\n",
|
|
|
|
|
|
" <td>0.029266</td>\n",
|
|
|
|
|
|
" <td>0.910501</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>13</th>\n",
|
|
|
|
|
|
" <td>15-09-2023-Cible-Palestine</td>\n",
|
|
|
|
|
|
" <td>0.028531</td>\n",
|
|
|
|
|
|
" <td>0.912478</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>162</th>\n",
|
|
|
|
|
|
" <td>LIVE2022_Intérêts Rencontres, débats et conférences</td>\n",
|
|
|
|
|
|
" <td>0.026928</td>\n",
|
|
|
|
|
|
" <td>0.914345</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>282</th>\n",
|
|
|
|
|
|
" <td>cible photo</td>\n",
|
|
|
|
|
|
" <td>0.026056</td>\n",
|
|
|
|
|
|
" <td>0.916152</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>38</th>\n",
|
|
|
|
|
|
" <td>26-MAI_STRUCTURE-2023-OK</td>\n",
|
|
|
|
|
|
" <td>0.025495</td>\n",
|
|
|
|
|
|
" <td>0.917919</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>5</th>\n",
|
|
|
|
|
|
" <td>07-12-20-Relais-invitatation-divas</td>\n",
|
|
|
|
|
|
" <td>0.024909</td>\n",
|
|
|
|
|
|
" <td>0.919646</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>410</th>\n",
|
|
|
|
|
|
" <td>old_Amis de l'IMA</td>\n",
|
|
|
|
|
|
" <td>0.023160</td>\n",
|
|
|
|
|
|
" <td>0.921251</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>222</th>\n",
|
|
|
|
|
|
" <td>Scolaires - Actions Educatives 24/01/2023</td>\n",
|
|
|
|
|
|
" <td>0.022724</td>\n",
|
|
|
|
|
|
" <td>0.922827</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>198</th>\n",
|
|
|
|
|
|
" <td>PALESTINE</td>\n",
|
|
|
|
|
|
" <td>0.020903</td>\n",
|
|
|
|
|
|
" <td>0.924276</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>249</th>\n",
|
|
|
|
|
|
" <td>Vignes et tilleuls</td>\n",
|
|
|
|
|
|
" <td>0.020439</td>\n",
|
|
|
|
|
|
" <td>0.925693</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>39</th>\n",
|
|
|
|
|
|
" <td>26-mai-11H10-relais</td>\n",
|
|
|
|
|
|
" <td>0.019578</td>\n",
|
|
|
|
|
|
" <td>0.927050</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>110</th>\n",
|
|
|
|
|
|
" <td>Contacts Librairie</td>\n",
|
|
|
|
|
|
" <td>0.019114</td>\n",
|
|
|
|
|
|
" <td>0.928375</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>194</th>\n",
|
|
|
|
|
|
" <td>Origine - Inscription manuelle</td>\n",
|
|
|
|
|
|
" <td>0.018307</td>\n",
|
|
|
|
|
|
" <td>0.929644</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>196</th>\n",
|
|
|
|
|
|
" <td>Origine - QR code</td>\n",
|
|
|
|
|
|
" <td>0.018294</td>\n",
|
|
|
|
|
|
" <td>0.930913</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>59</th>\n",
|
|
|
|
|
|
" <td>Acheteurs Daoud Depardon</td>\n",
|
|
|
|
|
|
" <td>0.018232</td>\n",
|
|
|
|
|
|
" <td>0.932176</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>473</th>\n",
|
|
|
|
|
|
" <td>événements autour de Habibi</td>\n",
|
|
|
|
|
|
" <td>0.017755</td>\n",
|
|
|
|
|
|
" <td>0.933407</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" </tbody>\n",
|
|
|
|
|
|
"</table>\n",
|
|
|
|
|
|
"</div>"
|
|
|
|
|
|
],
|
|
|
|
|
|
"text/plain": [
|
|
|
|
|
|
" target_name \\\n",
|
|
|
|
|
|
"232 Tous les contacts mis à jour \n",
|
|
|
|
|
|
"76 Base données \n",
|
|
|
|
|
|
"191 Office de Tourisme \n",
|
|
|
|
|
|
"128 Globale sans VIP \n",
|
|
|
|
|
|
"112 Contacts structures \n",
|
|
|
|
|
|
"98 Cible gratuité IMA COMEDY \n",
|
|
|
|
|
|
"23 2 IEME ENVOI IMA COMEDY CLUB \n",
|
|
|
|
|
|
"64 Actions Marketing ARABOFOLIES \n",
|
|
|
|
|
|
"171 Liste globale sans VIP \n",
|
|
|
|
|
|
"126 Formulaire inscription mallette \"Cultures en partage\" \n",
|
|
|
|
|
|
"78 CAMPAGNE ADHESION 2023 \n",
|
|
|
|
|
|
"234 Tous les optins \n",
|
|
|
|
|
|
"192 Optin 2023 \n",
|
|
|
|
|
|
"170 Liste globale optin-15-01-2021 \n",
|
|
|
|
|
|
"10 10-03-sb-dolist \n",
|
|
|
|
|
|
"195 Origine - Nouba \n",
|
|
|
|
|
|
"158 LIVE2022_Intérêt Expositions musée \n",
|
|
|
|
|
|
"414 old_Intéressés par la Musique \n",
|
|
|
|
|
|
"415 old_Intérêt Danse \n",
|
|
|
|
|
|
"100 Cible offre DAOUD DEPARDON \n",
|
|
|
|
|
|
"12 13-04-2022-vente 2021 \n",
|
|
|
|
|
|
"73 Arabofolies Juillet 2022 \n",
|
|
|
|
|
|
"137 Intérêt LGBTQ+ \n",
|
|
|
|
|
|
"274 blacklistés ima \n",
|
|
|
|
|
|
"208 Public traditionnel \n",
|
|
|
|
|
|
"159 LIVE2022_Intérêt Humour \n",
|
|
|
|
|
|
"99 Cible jeunes humour \n",
|
|
|
|
|
|
"213 Relance gratuité IMA COMEDY CLUB \n",
|
|
|
|
|
|
"101 Cible rencontres et débats \n",
|
|
|
|
|
|
"189 Nouveaux inscrits newsletter \n",
|
|
|
|
|
|
"349 interet nuit du cinéma \n",
|
|
|
|
|
|
"141 Intérêt prononcé pour la nuit du ramadan \n",
|
|
|
|
|
|
"87 Cible Algérie \n",
|
|
|
|
|
|
"93 Cible News offre spéciale humour \n",
|
|
|
|
|
|
"140 Intérêt musique électro \n",
|
|
|
|
|
|
"280 cible Histoire et feminisme \n",
|
|
|
|
|
|
"174 Liste relais pour présentation 2023 \n",
|
|
|
|
|
|
"138 Intérêt musique Orientale \n",
|
|
|
|
|
|
"18 16-07-21-nuit-du-cinema \n",
|
|
|
|
|
|
"204 Profil Client Expos Divas (Geo) \n",
|
|
|
|
|
|
"265 araborolies/Divas/relance \n",
|
|
|
|
|
|
"203 Profil Client Expo Divas \n",
|
|
|
|
|
|
"233 Tous les inscrits aux newsletters via le formulaire du site web \n",
|
|
|
|
|
|
"243 VIP Générale \n",
|
|
|
|
|
|
"226 Strcutures sans VIP \n",
|
|
|
|
|
|
"67 Agi pour buren \n",
|
|
|
|
|
|
"144 Invitation à l'exposition Palestine LANG \n",
|
|
|
|
|
|
"62 Acheteurs individuels de l'expo Juifs d'orient statique \n",
|
|
|
|
|
|
"61 Acheteurs individuels de l'expo Juifs d'orient \n",
|
|
|
|
|
|
"95 Cible arabic Sound system \n",
|
|
|
|
|
|
"244 VIP STATIQUE \n",
|
|
|
|
|
|
"245 VIP Téléchargement \n",
|
|
|
|
|
|
"102 Cible scolaire 2022 \n",
|
|
|
|
|
|
"90 Cible Maroc \n",
|
|
|
|
|
|
"91 Cible Maroc \n",
|
|
|
|
|
|
"41 26mai-2023-Structures-invit-palestine \n",
|
|
|
|
|
|
"393 liste_contacts_agi_2021_02_16_ \n",
|
|
|
|
|
|
"450 sb-fichier-eudonet-ok-18-05-21 \n",
|
|
|
|
|
|
"4 04_11_22_eudonet \n",
|
|
|
|
|
|
"215 SB-18-05-VIP-eudonet \n",
|
|
|
|
|
|
"175 Liste vernissage \n",
|
|
|
|
|
|
"235 Tous les relais \n",
|
|
|
|
|
|
"252 Visiteurs expo pour questionnaires \n",
|
|
|
|
|
|
"223 Scolaires - Actions Educatives 24/11/2021 \n",
|
|
|
|
|
|
"92 Cible Musique Judeo-arabe \n",
|
|
|
|
|
|
"13 15-09-2023-Cible-Palestine \n",
|
|
|
|
|
|
"162 LIVE2022_Intérêts Rencontres, débats et conférences \n",
|
|
|
|
|
|
"282 cible photo \n",
|
|
|
|
|
|
"38 26-MAI_STRUCTURE-2023-OK \n",
|
|
|
|
|
|
"5 07-12-20-Relais-invitatation-divas \n",
|
|
|
|
|
|
"410 old_Amis de l'IMA \n",
|
|
|
|
|
|
"222 Scolaires - Actions Educatives 24/01/2023 \n",
|
|
|
|
|
|
"198 PALESTINE \n",
|
|
|
|
|
|
"249 Vignes et tilleuls \n",
|
|
|
|
|
|
"39 26-mai-11H10-relais \n",
|
|
|
|
|
|
"110 Contacts Librairie \n",
|
|
|
|
|
|
"194 Origine - Inscription manuelle \n",
|
|
|
|
|
|
"196 Origine - QR code \n",
|
|
|
|
|
|
"59 Acheteurs Daoud Depardon \n",
|
|
|
|
|
|
"473 événements autour de Habibi \n",
|
|
|
|
|
|
"\n",
|
|
|
|
|
|
" customer_id cumulative_customers \n",
|
|
|
|
|
|
"232 0.999991 0.069325 \n",
|
|
|
|
|
|
"76 0.999991 0.138650 \n",
|
|
|
|
|
|
"191 0.999991 0.207974 \n",
|
|
|
|
|
|
"128 0.955488 0.274214 \n",
|
|
|
|
|
|
"112 0.929969 0.338684 \n",
|
|
|
|
|
|
"98 0.636246 0.382792 \n",
|
|
|
|
|
|
"23 0.630389 0.426494 \n",
|
|
|
|
|
|
"64 0.627917 0.470025 \n",
|
|
|
|
|
|
"171 0.582183 0.510385 \n",
|
|
|
|
|
|
"126 0.532831 0.547324 \n",
|
|
|
|
|
|
"78 0.449371 0.578477 \n",
|
|
|
|
|
|
"234 0.412546 0.607076 \n",
|
|
|
|
|
|
"192 0.365057 0.632384 \n",
|
|
|
|
|
|
"170 0.325482 0.654948 \n",
|
|
|
|
|
|
"10 0.193833 0.668386 \n",
|
|
|
|
|
|
"195 0.192452 0.681728 \n",
|
|
|
|
|
|
"158 0.173550 0.693759 \n",
|
|
|
|
|
|
"414 0.166505 0.705302 \n",
|
|
|
|
|
|
"415 0.163572 0.716642 \n",
|
|
|
|
|
|
"100 0.130372 0.725680 \n",
|
|
|
|
|
|
"12 0.128804 0.734609 \n",
|
|
|
|
|
|
"73 0.109123 0.742174 \n",
|
|
|
|
|
|
"137 0.108917 0.749725 \n",
|
|
|
|
|
|
"274 0.105407 0.757032 \n",
|
|
|
|
|
|
"208 0.083821 0.762843 \n",
|
|
|
|
|
|
"159 0.082858 0.768587 \n",
|
|
|
|
|
|
"99 0.080312 0.774155 \n",
|
|
|
|
|
|
"213 0.079205 0.779646 \n",
|
|
|
|
|
|
"101 0.076743 0.784966 \n",
|
|
|
|
|
|
"189 0.076200 0.790249 \n",
|
|
|
|
|
|
"349 0.072260 0.795258 \n",
|
|
|
|
|
|
"141 0.072254 0.800267 \n",
|
|
|
|
|
|
"87 0.070337 0.805143 \n",
|
|
|
|
|
|
"93 0.069296 0.809947 \n",
|
|
|
|
|
|
"140 0.068716 0.814711 \n",
|
|
|
|
|
|
"280 0.068585 0.819466 \n",
|
|
|
|
|
|
"174 0.067404 0.824139 \n",
|
|
|
|
|
|
"138 0.066082 0.828720 \n",
|
|
|
|
|
|
"18 0.065166 0.833237 \n",
|
|
|
|
|
|
"204 0.063401 0.837633 \n",
|
|
|
|
|
|
"265 0.061647 0.841906 \n",
|
|
|
|
|
|
"203 0.061138 0.846145 \n",
|
|
|
|
|
|
"233 0.057407 0.850125 \n",
|
|
|
|
|
|
"243 0.053682 0.853846 \n",
|
|
|
|
|
|
"226 0.053396 0.857548 \n",
|
|
|
|
|
|
"67 0.051575 0.861123 \n",
|
|
|
|
|
|
"144 0.051092 0.864665 \n",
|
|
|
|
|
|
"62 0.046526 0.867891 \n",
|
|
|
|
|
|
"61 0.046513 0.871115 \n",
|
|
|
|
|
|
"95 0.046164 0.874316 \n",
|
|
|
|
|
|
"244 0.041158 0.877169 \n",
|
|
|
|
|
|
"245 0.040737 0.879993 \n",
|
|
|
|
|
|
"102 0.040313 0.882788 \n",
|
|
|
|
|
|
"90 0.039827 0.885549 \n",
|
|
|
|
|
|
"91 0.039827 0.888310 \n",
|
|
|
|
|
|
"41 0.039188 0.891027 \n",
|
|
|
|
|
|
"393 0.033618 0.893357 \n",
|
|
|
|
|
|
"450 0.032056 0.895579 \n",
|
|
|
|
|
|
"4 0.031857 0.897788 \n",
|
|
|
|
|
|
"215 0.031857 0.899996 \n",
|
|
|
|
|
|
"175 0.031364 0.902171 \n",
|
|
|
|
|
|
"235 0.031090 0.904326 \n",
|
|
|
|
|
|
"252 0.029930 0.906401 \n",
|
|
|
|
|
|
"223 0.029871 0.908472 \n",
|
|
|
|
|
|
"92 0.029266 0.910501 \n",
|
|
|
|
|
|
"13 0.028531 0.912478 \n",
|
|
|
|
|
|
"162 0.026928 0.914345 \n",
|
|
|
|
|
|
"282 0.026056 0.916152 \n",
|
|
|
|
|
|
"38 0.025495 0.917919 \n",
|
|
|
|
|
|
"5 0.024909 0.919646 \n",
|
|
|
|
|
|
"410 0.023160 0.921251 \n",
|
|
|
|
|
|
"222 0.022724 0.922827 \n",
|
|
|
|
|
|
"198 0.020903 0.924276 \n",
|
|
|
|
|
|
"249 0.020439 0.925693 \n",
|
|
|
|
|
|
"39 0.019578 0.927050 \n",
|
|
|
|
|
|
"110 0.019114 0.928375 \n",
|
|
|
|
|
|
"194 0.018307 0.929644 \n",
|
|
|
|
|
|
"196 0.018294 0.930913 \n",
|
|
|
|
|
|
"59 0.018232 0.932176 \n",
|
|
|
|
|
|
"473 0.017755 0.933407 "
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
"execution_count": 78,
|
|
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"output_type": "execute_result"
|
|
|
|
|
|
}
|
|
|
|
|
|
],
|
|
|
|
|
|
"source": [
|
|
|
|
|
|
"print_main_target('4', 80)"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
|
"execution_count": 79,
|
|
|
|
|
|
"id": "40fe3676",
|
|
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"outputs": [
|
|
|
|
|
|
{
|
|
|
|
|
|
"name": "stdout",
|
|
|
|
|
|
"output_type": "stream",
|
|
|
|
|
|
"text": [
|
|
|
|
|
|
"File path : projet-bdc2324-team1/0_Input/Company_101/target_information.csv\n",
|
|
|
|
|
|
"Nombre de ciblage : 22054795\n",
|
|
|
|
|
|
"Nombre de client avec étiquette target : 2760649\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>target_name</th>\n",
|
|
|
|
|
|
" <th>customer_id</th>\n",
|
|
|
|
|
|
" <th>cumulative_customers</th>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" </thead>\n",
|
|
|
|
|
|
" <tbody>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>304</th>\n",
|
|
|
|
|
|
" <td>acheteurs globaux sans gratuités</td>\n",
|
|
|
|
|
|
" <td>0.778807</td>\n",
|
|
|
|
|
|
" <td>0.097485</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>1</th>\n",
|
|
|
|
|
|
" <td>(Synchro Code Postal - Arenametrix)</td>\n",
|
|
|
|
|
|
" <td>0.622788</td>\n",
|
|
|
|
|
|
" <td>0.175441</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>76</th>\n",
|
|
|
|
|
|
" <td>Acheteurs depuis 3 ans</td>\n",
|
|
|
|
|
|
" <td>0.531521</td>\n",
|
|
|
|
|
|
" <td>0.241973</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>2</th>\n",
|
|
|
|
|
|
" <td>(Synchro Date de naissance - Arenametrix)</td>\n",
|
|
|
|
|
|
" <td>0.348903</td>\n",
|
|
|
|
|
|
" <td>0.285646</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>200</th>\n",
|
|
|
|
|
|
" <td>Consentements ALL</td>\n",
|
|
|
|
|
|
" <td>0.285676</td>\n",
|
|
|
|
|
|
" <td>0.321404</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>324</th>\n",
|
|
|
|
|
|
" <td>consentement optin culturespaces</td>\n",
|
|
|
|
|
|
" <td>0.263446</td>\n",
|
|
|
|
|
|
" <td>0.354381</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>303</th>\n",
|
|
|
|
|
|
" <td>[Auto] - Acheteurs depuis 1 an</td>\n",
|
|
|
|
|
|
" <td>0.229370</td>\n",
|
|
|
|
|
|
" <td>0.383091</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>334</th>\n",
|
|
|
|
|
|
" <td>consentement optout adl individuels</td>\n",
|
|
|
|
|
|
" <td>0.199532</td>\n",
|
|
|
|
|
|
" <td>0.408067</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>316</th>\n",
|
|
|
|
|
|
" <td>consentement optin adl individuels</td>\n",
|
|
|
|
|
|
" <td>0.180665</td>\n",
|
|
|
|
|
|
" <td>0.430682</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>270</th>\n",
|
|
|
|
|
|
" <td>Optins_ADL</td>\n",
|
|
|
|
|
|
" <td>0.174684</td>\n",
|
|
|
|
|
|
" <td>0.452547</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>57</th>\n",
|
|
|
|
|
|
" <td>ADL_acheteursADL_France</td>\n",
|
|
|
|
|
|
" <td>0.144103</td>\n",
|
|
|
|
|
|
" <td>0.470585</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>25</th>\n",
|
|
|
|
|
|
" <td>ADL France Luxembourg __</td>\n",
|
|
|
|
|
|
" <td>0.138661</td>\n",
|
|
|
|
|
|
" <td>0.487941</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>26</th>\n",
|
|
|
|
|
|
" <td>ADL France opt-in</td>\n",
|
|
|
|
|
|
" <td>0.138359</td>\n",
|
|
|
|
|
|
" <td>0.505260</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>43</th>\n",
|
|
|
|
|
|
" <td>ADL optin 1x</td>\n",
|
|
|
|
|
|
" <td>0.137769</td>\n",
|
|
|
|
|
|
" <td>0.522505</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>41</th>\n",
|
|
|
|
|
|
" <td>ADL envoi Cezanne</td>\n",
|
|
|
|
|
|
" <td>0.134868</td>\n",
|
|
|
|
|
|
" <td>0.539387</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>269</th>\n",
|
|
|
|
|
|
" <td>Nova_Global BDL</td>\n",
|
|
|
|
|
|
" <td>0.126884</td>\n",
|
|
|
|
|
|
" <td>0.555269</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>78</th>\n",
|
|
|
|
|
|
" <td>Analyse_ADL</td>\n",
|
|
|
|
|
|
" <td>0.114731</td>\n",
|
|
|
|
|
|
" <td>0.569630</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>140</th>\n",
|
|
|
|
|
|
" <td>Boutemont 200km</td>\n",
|
|
|
|
|
|
" <td>0.114117</td>\n",
|
|
|
|
|
|
" <td>0.583914</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>58</th>\n",
|
|
|
|
|
|
" <td>ADL_acheteursADL_France_ALL18mois</td>\n",
|
|
|
|
|
|
" <td>0.112623</td>\n",
|
|
|
|
|
|
" <td>0.598012</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>72</th>\n",
|
|
|
|
|
|
" <td>Acheteurs BDL hors gratuité</td>\n",
|
|
|
|
|
|
" <td>0.107479</td>\n",
|
|
|
|
|
|
" <td>0.611465</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>39</th>\n",
|
|
|
|
|
|
" <td>ADL clients Ile de France</td>\n",
|
|
|
|
|
|
" <td>0.101688</td>\n",
|
|
|
|
|
|
" <td>0.624194</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>59</th>\n",
|
|
|
|
|
|
" <td>ADL_acheteursADL_IDF</td>\n",
|
|
|
|
|
|
" <td>0.099636</td>\n",
|
|
|
|
|
|
" <td>0.636665</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>139</th>\n",
|
|
|
|
|
|
" <td>Blacklistés</td>\n",
|
|
|
|
|
|
" <td>0.095542</td>\n",
|
|
|
|
|
|
" <td>0.648624</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>45</th>\n",
|
|
|
|
|
|
" <td>ADL optin petit couronne</td>\n",
|
|
|
|
|
|
" <td>0.081259</td>\n",
|
|
|
|
|
|
" <td>0.658796</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>10</th>\n",
|
|
|
|
|
|
" <td>ADL 15km</td>\n",
|
|
|
|
|
|
" <td>0.078260</td>\n",
|
|
|
|
|
|
" <td>0.668592</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>357</th>\n",
|
|
|
|
|
|
" <td>tarif famille</td>\n",
|
|
|
|
|
|
" <td>0.076298</td>\n",
|
|
|
|
|
|
" <td>0.678142</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>60</th>\n",
|
|
|
|
|
|
" <td>ADL_acheteursADL_IDF_ALL18mois</td>\n",
|
|
|
|
|
|
" <td>0.076005</td>\n",
|
|
|
|
|
|
" <td>0.687656</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>149</th>\n",
|
|
|
|
|
|
" <td>CAH MJA France-Belgique-Suisse-Lux</td>\n",
|
|
|
|
|
|
" <td>0.073566</td>\n",
|
|
|
|
|
|
" <td>0.696864</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>336</th>\n",
|
|
|
|
|
|
" <td>consentement optout bdl individuels</td>\n",
|
|
|
|
|
|
" <td>0.070118</td>\n",
|
|
|
|
|
|
" <td>0.705641</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>351</th>\n",
|
|
|
|
|
|
" <td>destinataires_campagne_boutemont</td>\n",
|
|
|
|
|
|
" <td>0.067179</td>\n",
|
|
|
|
|
|
" <td>0.714050</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>340</th>\n",
|
|
|
|
|
|
" <td>consentement optout cdl individuels</td>\n",
|
|
|
|
|
|
" <td>0.067175</td>\n",
|
|
|
|
|
|
" <td>0.722458</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>347</th>\n",
|
|
|
|
|
|
" <td>consentement optout mja individuels</td>\n",
|
|
|
|
|
|
" <td>0.066109</td>\n",
|
|
|
|
|
|
" <td>0.730734</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>56</th>\n",
|
|
|
|
|
|
" <td>ADL_Acheteurs_Dali_depuis050521 -</td>\n",
|
|
|
|
|
|
" <td>0.065303</td>\n",
|
|
|
|
|
|
" <td>0.738908</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>12</th>\n",
|
|
|
|
|
|
" <td>ADL 1fois France hors IDF</td>\n",
|
|
|
|
|
|
" <td>0.063167</td>\n",
|
|
|
|
|
|
" <td>0.746814</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>22</th>\n",
|
|
|
|
|
|
" <td>ADL FR OPTIN emails ouverts</td>\n",
|
|
|
|
|
|
" <td>0.052960</td>\n",
|
|
|
|
|
|
" <td>0.753444</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>125</th>\n",
|
|
|
|
|
|
" <td>BDL_anciensacheteursBDL_FRANCE_v2</td>\n",
|
|
|
|
|
|
" <td>0.051593</td>\n",
|
|
|
|
|
|
" <td>0.759902</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>11</th>\n",
|
|
|
|
|
|
" <td>ADL 15km femme</td>\n",
|
|
|
|
|
|
" <td>0.051241</td>\n",
|
|
|
|
|
|
" <td>0.766316</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>205</th>\n",
|
|
|
|
|
|
" <td>Export 2 scénario Anniversaire</td>\n",
|
|
|
|
|
|
" <td>0.051113</td>\n",
|
|
|
|
|
|
" <td>0.772713</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>204</th>\n",
|
|
|
|
|
|
" <td>Export 1 scénario Anniversaire</td>\n",
|
|
|
|
|
|
" <td>0.050358</td>\n",
|
|
|
|
|
|
" <td>0.779017</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>79</th>\n",
|
|
|
|
|
|
" <td>Analyse_BDL</td>\n",
|
|
|
|
|
|
" <td>0.048561</td>\n",
|
|
|
|
|
|
" <td>0.785095</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>13</th>\n",
|
|
|
|
|
|
" <td>ADL 1fois IDF hors Paris</td>\n",
|
|
|
|
|
|
" <td>0.042128</td>\n",
|
|
|
|
|
|
" <td>0.790369</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>84</th>\n",
|
|
|
|
|
|
" <td>Analyse_MJA</td>\n",
|
|
|
|
|
|
" <td>0.041119</td>\n",
|
|
|
|
|
|
" <td>0.795516</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>118</th>\n",
|
|
|
|
|
|
" <td>BDL_Anciens acheteurs Tintin_v2</td>\n",
|
|
|
|
|
|
" <td>0.039127</td>\n",
|
|
|
|
|
|
" <td>0.800413</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>91</th>\n",
|
|
|
|
|
|
" <td>BDL - Jumeaux - anciens acheteurs Tintin</td>\n",
|
|
|
|
|
|
" <td>0.038955</td>\n",
|
|
|
|
|
|
" <td>0.805289</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>44</th>\n",
|
|
|
|
|
|
" <td>ADL optin 2+</td>\n",
|
|
|
|
|
|
" <td>0.038283</td>\n",
|
|
|
|
|
|
" <td>0.810081</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>247</th>\n",
|
|
|
|
|
|
" <td>Liste boutemont</td>\n",
|
|
|
|
|
|
" <td>0.033839</td>\n",
|
|
|
|
|
|
" <td>0.814317</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>37</th>\n",
|
|
|
|
|
|
" <td>ADL clients FR LUX fidélité +2</td>\n",
|
|
|
|
|
|
" <td>0.033168</td>\n",
|
|
|
|
|
|
" <td>0.818469</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>24</th>\n",
|
|
|
|
|
|
" <td>ADL France 2-14 visites</td>\n",
|
|
|
|
|
|
" <td>0.033107</td>\n",
|
|
|
|
|
|
" <td>0.822613</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>14</th>\n",
|
|
|
|
|
|
" <td>ADL 1fois Paris</td>\n",
|
|
|
|
|
|
" <td>0.032402</td>\n",
|
|
|
|
|
|
" <td>0.826669</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>116</th>\n",
|
|
|
|
|
|
" <td>BDL_AcheteursMRC_depuis060521 - Old</td>\n",
|
|
|
|
|
|
" <td>0.032150</td>\n",
|
|
|
|
|
|
" <td>0.830693</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>115</th>\n",
|
|
|
|
|
|
" <td>BDL_AcheteursMRC_depuis060521 - 07/12/2021</td>\n",
|
|
|
|
|
|
" <td>0.032150</td>\n",
|
|
|
|
|
|
" <td>0.834717</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>126</th>\n",
|
|
|
|
|
|
" <td>BDL_anciensacheteursBDL_GIRONDE_v2</td>\n",
|
|
|
|
|
|
" <td>0.031237</td>\n",
|
|
|
|
|
|
" <td>0.838627</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>81</th>\n",
|
|
|
|
|
|
" <td>Analyse_CDL</td>\n",
|
|
|
|
|
|
" <td>0.030649</td>\n",
|
|
|
|
|
|
" <td>0.842464</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>9</th>\n",
|
|
|
|
|
|
" <td>ADL -20km +30ans</td>\n",
|
|
|
|
|
|
" <td>0.027940</td>\n",
|
|
|
|
|
|
" <td>0.845961</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>322</th>\n",
|
|
|
|
|
|
" <td>consentement optin cdl individuels</td>\n",
|
|
|
|
|
|
" <td>0.027214</td>\n",
|
|
|
|
|
|
" <td>0.849368</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>42</th>\n",
|
|
|
|
|
|
" <td>ADL ile de france fidélité+2</td>\n",
|
|
|
|
|
|
" <td>0.025974</td>\n",
|
|
|
|
|
|
" <td>0.852619</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>86</th>\n",
|
|
|
|
|
|
" <td>Anniversaire</td>\n",
|
|
|
|
|
|
" <td>0.025558</td>\n",
|
|
|
|
|
|
" <td>0.855818</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>18</th>\n",
|
|
|
|
|
|
" <td>ADL 30-50 ans FID 1</td>\n",
|
|
|
|
|
|
" <td>0.024735</td>\n",
|
|
|
|
|
|
" <td>0.858914</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>150</th>\n",
|
|
|
|
|
|
" <td>CAH_ADL</td>\n",
|
|
|
|
|
|
" <td>0.024249</td>\n",
|
|
|
|
|
|
" <td>0.861950</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>344</th>\n",
|
|
|
|
|
|
" <td>consentement optout hdc individuels</td>\n",
|
|
|
|
|
|
" <td>0.024003</td>\n",
|
|
|
|
|
|
" <td>0.864954</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>314</th>\n",
|
|
|
|
|
|
" <td>consentement bdl individuels</td>\n",
|
|
|
|
|
|
" <td>0.023525</td>\n",
|
|
|
|
|
|
" <td>0.867899</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>318</th>\n",
|
|
|
|
|
|
" <td>consentement optin bdl individuels</td>\n",
|
|
|
|
|
|
" <td>0.023207</td>\n",
|
|
|
|
|
|
" <td>0.870804</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>122</th>\n",
|
|
|
|
|
|
" <td>BDL_anciens acheteurs BDL</td>\n",
|
|
|
|
|
|
" <td>0.022925</td>\n",
|
|
|
|
|
|
" <td>0.873673</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>183</th>\n",
|
|
|
|
|
|
" <td>CDL_Tous Optins</td>\n",
|
|
|
|
|
|
" <td>0.022568</td>\n",
|
|
|
|
|
|
" <td>0.876498</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>166</th>\n",
|
|
|
|
|
|
" <td>CDL France optin</td>\n",
|
|
|
|
|
|
" <td>0.021642</td>\n",
|
|
|
|
|
|
" <td>0.879207</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>167</th>\n",
|
|
|
|
|
|
" <td>CDL Optin_France_Belgique_Luxembourg</td>\n",
|
|
|
|
|
|
" <td>0.021339</td>\n",
|
|
|
|
|
|
" <td>0.881878</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>175</th>\n",
|
|
|
|
|
|
" <td>CDL optin_France</td>\n",
|
|
|
|
|
|
" <td>0.020988</td>\n",
|
|
|
|
|
|
" <td>0.884505</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>29</th>\n",
|
|
|
|
|
|
" <td>ADL IDF 30-55ans hors Chagall</td>\n",
|
|
|
|
|
|
" <td>0.020071</td>\n",
|
|
|
|
|
|
" <td>0.887018</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>327</th>\n",
|
|
|
|
|
|
" <td>consentement optin hdc individuels</td>\n",
|
|
|
|
|
|
" <td>0.019767</td>\n",
|
|
|
|
|
|
" <td>0.889492</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>271</th>\n",
|
|
|
|
|
|
" <td>Optins_BDL</td>\n",
|
|
|
|
|
|
" <td>0.019633</td>\n",
|
|
|
|
|
|
" <td>0.891949</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>123</th>\n",
|
|
|
|
|
|
" <td>BDL_anciens acheteurs BDL FRANCE</td>\n",
|
|
|
|
|
|
" <td>0.019280</td>\n",
|
|
|
|
|
|
" <td>0.894363</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>97</th>\n",
|
|
|
|
|
|
" <td>BDL opt-in France</td>\n",
|
|
|
|
|
|
" <td>0.019050</td>\n",
|
|
|
|
|
|
" <td>0.896747</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>8</th>\n",
|
|
|
|
|
|
" <td>ADL - nouveaux visiteurs Tintin</td>\n",
|
|
|
|
|
|
" <td>0.018092</td>\n",
|
|
|
|
|
|
" <td>0.899012</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>274</th>\n",
|
|
|
|
|
|
" <td>Optins_HDC</td>\n",
|
|
|
|
|
|
" <td>0.017418</td>\n",
|
|
|
|
|
|
" <td>0.901192</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>94</th>\n",
|
|
|
|
|
|
" <td>BDL Nouvelle-Aquitaine optin</td>\n",
|
|
|
|
|
|
" <td>0.017348</td>\n",
|
|
|
|
|
|
" <td>0.903364</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>49</th>\n",
|
|
|
|
|
|
" <td>ADL tarif famille</td>\n",
|
|
|
|
|
|
" <td>0.017094</td>\n",
|
|
|
|
|
|
" <td>0.905503</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>21</th>\n",
|
|
|
|
|
|
" <td>ADL Cosmos mai 2022</td>\n",
|
|
|
|
|
|
" <td>0.015652</td>\n",
|
|
|
|
|
|
" <td>0.907462</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>172</th>\n",
|
|
|
|
|
|
" <td>CDL intégrales -150km hors édition 2023</td>\n",
|
|
|
|
|
|
" <td>0.014517</td>\n",
|
|
|
|
|
|
" <td>0.909280</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>16</th>\n",
|
|
|
|
|
|
" <td>ADL 2+ IDF hors Paris</td>\n",
|
|
|
|
|
|
" <td>0.014415</td>\n",
|
|
|
|
|
|
" <td>0.911084</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>98</th>\n",
|
|
|
|
|
|
" <td>BDL optin -60km</td>\n",
|
|
|
|
|
|
" <td>0.013695</td>\n",
|
|
|
|
|
|
" <td>0.912798</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>124</th>\n",
|
|
|
|
|
|
" <td>BDL_anciens acheteurs BDL GIRONDE</td>\n",
|
|
|
|
|
|
" <td>0.013515</td>\n",
|
|
|
|
|
|
" <td>0.914490</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>264</th>\n",
|
|
|
|
|
|
" <td>Mailing groupes ZAO</td>\n",
|
|
|
|
|
|
" <td>0.013343</td>\n",
|
|
|
|
|
|
" <td>0.916160</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>191</th>\n",
|
|
|
|
|
|
" <td>Clients CDL -150km hors Intégrales 2022</td>\n",
|
|
|
|
|
|
" <td>0.013056</td>\n",
|
|
|
|
|
|
" <td>0.917794</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>227</th>\n",
|
|
|
|
|
|
" <td>HDC_CAH_zaowouki</td>\n",
|
|
|
|
|
|
" <td>0.012870</td>\n",
|
|
|
|
|
|
" <td>0.919405</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>222</th>\n",
|
|
|
|
|
|
" <td>HDC france_optin</td>\n",
|
|
|
|
|
|
" <td>0.012835</td>\n",
|
|
|
|
|
|
" <td>0.921012</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>17</th>\n",
|
|
|
|
|
|
" <td>ADL 2+ Paris</td>\n",
|
|
|
|
|
|
" <td>0.012601</td>\n",
|
|
|
|
|
|
" <td>0.922589</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>325</th>\n",
|
|
|
|
|
|
" <td>consentement optin fdl individuels</td>\n",
|
|
|
|
|
|
" <td>0.011658</td>\n",
|
|
|
|
|
|
" <td>0.924048</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>180</th>\n",
|
|
|
|
|
|
" <td>CDL sauf cezanne -100km</td>\n",
|
|
|
|
|
|
" <td>0.011013</td>\n",
|
|
|
|
|
|
" <td>0.925427</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>15</th>\n",
|
|
|
|
|
|
" <td>ADL 2+ France hors IDF</td>\n",
|
|
|
|
|
|
" <td>0.010999</td>\n",
|
|
|
|
|
|
" <td>0.926804</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>213</th>\n",
|
|
|
|
|
|
" <td>HDC -40km</td>\n",
|
|
|
|
|
|
" <td>0.010833</td>\n",
|
|
|
|
|
|
" <td>0.928160</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>199</th>\n",
|
|
|
|
|
|
" <td>Clients américains ADL optin</td>\n",
|
|
|
|
|
|
" <td>0.010710</td>\n",
|
|
|
|
|
|
" <td>0.929500</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>190</th>\n",
|
|
|
|
|
|
" <td>Clients ADL USA optin</td>\n",
|
|
|
|
|
|
" <td>0.010700</td>\n",
|
|
|
|
|
|
" <td>0.930840</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>193</th>\n",
|
|
|
|
|
|
" <td>Clients HDC >100km</td>\n",
|
|
|
|
|
|
" <td>0.010622</td>\n",
|
|
|
|
|
|
" <td>0.932169</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>65</th>\n",
|
|
|
|
|
|
" <td>ADL_acheteursOcéans_ALL</td>\n",
|
|
|
|
|
|
" <td>0.010540</td>\n",
|
|
|
|
|
|
" <td>0.933489</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>5</th>\n",
|
|
|
|
|
|
" <td>ADL - Formulaire inscription NL grand public OU scolaires</td>\n",
|
|
|
|
|
|
" <td>0.010446</td>\n",
|
|
|
|
|
|
" <td>0.934796</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>302</th>\n",
|
|
|
|
|
|
" <td>[AUTO] - Inactifs scénario parralèle</td>\n",
|
|
|
|
|
|
" <td>0.010419</td>\n",
|
|
|
|
|
|
" <td>0.936100</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>74</th>\n",
|
|
|
|
|
|
" <td>Acheteurs Dali ADL 2021</td>\n",
|
|
|
|
|
|
" <td>0.009927</td>\n",
|
|
|
|
|
|
" <td>0.937343</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>27</th>\n",
|
|
|
|
|
|
" <td>ADL IDF +55ans hors Chagall</td>\n",
|
|
|
|
|
|
" <td>0.009800</td>\n",
|
|
|
|
|
|
" <td>0.938570</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>23</th>\n",
|
|
|
|
|
|
" <td>ADL FR visiteurs Dali</td>\n",
|
|
|
|
|
|
" <td>0.009441</td>\n",
|
|
|
|
|
|
" <td>0.939751</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>214</th>\n",
|
|
|
|
|
|
" <td>HDC >100km</td>\n",
|
|
|
|
|
|
" <td>0.008993</td>\n",
|
|
|
|
|
|
" <td>0.940877</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" </tbody>\n",
|
|
|
|
|
|
"</table>\n",
|
|
|
|
|
|
"</div>"
|
|
|
|
|
|
],
|
|
|
|
|
|
"text/plain": [
|
|
|
|
|
|
" target_name customer_id \\\n",
|
|
|
|
|
|
"304 acheteurs globaux sans gratuités 0.778807 \n",
|
|
|
|
|
|
"1 (Synchro Code Postal - Arenametrix) 0.622788 \n",
|
|
|
|
|
|
"76 Acheteurs depuis 3 ans 0.531521 \n",
|
|
|
|
|
|
"2 (Synchro Date de naissance - Arenametrix) 0.348903 \n",
|
|
|
|
|
|
"200 Consentements ALL 0.285676 \n",
|
|
|
|
|
|
"324 consentement optin culturespaces 0.263446 \n",
|
|
|
|
|
|
"303 [Auto] - Acheteurs depuis 1 an 0.229370 \n",
|
|
|
|
|
|
"334 consentement optout adl individuels 0.199532 \n",
|
|
|
|
|
|
"316 consentement optin adl individuels 0.180665 \n",
|
|
|
|
|
|
"270 Optins_ADL 0.174684 \n",
|
|
|
|
|
|
"57 ADL_acheteursADL_France 0.144103 \n",
|
|
|
|
|
|
"25 ADL France Luxembourg __ 0.138661 \n",
|
|
|
|
|
|
"26 ADL France opt-in 0.138359 \n",
|
|
|
|
|
|
"43 ADL optin 1x 0.137769 \n",
|
|
|
|
|
|
"41 ADL envoi Cezanne 0.134868 \n",
|
|
|
|
|
|
"269 Nova_Global BDL 0.126884 \n",
|
|
|
|
|
|
"78 Analyse_ADL 0.114731 \n",
|
|
|
|
|
|
"140 Boutemont 200km 0.114117 \n",
|
|
|
|
|
|
"58 ADL_acheteursADL_France_ALL18mois 0.112623 \n",
|
|
|
|
|
|
"72 Acheteurs BDL hors gratuité 0.107479 \n",
|
|
|
|
|
|
"39 ADL clients Ile de France 0.101688 \n",
|
|
|
|
|
|
"59 ADL_acheteursADL_IDF 0.099636 \n",
|
|
|
|
|
|
"139 Blacklistés 0.095542 \n",
|
|
|
|
|
|
"45 ADL optin petit couronne 0.081259 \n",
|
|
|
|
|
|
"10 ADL 15km 0.078260 \n",
|
|
|
|
|
|
"357 tarif famille 0.076298 \n",
|
|
|
|
|
|
"60 ADL_acheteursADL_IDF_ALL18mois 0.076005 \n",
|
|
|
|
|
|
"149 CAH MJA France-Belgique-Suisse-Lux 0.073566 \n",
|
|
|
|
|
|
"336 consentement optout bdl individuels 0.070118 \n",
|
|
|
|
|
|
"351 destinataires_campagne_boutemont 0.067179 \n",
|
|
|
|
|
|
"340 consentement optout cdl individuels 0.067175 \n",
|
|
|
|
|
|
"347 consentement optout mja individuels 0.066109 \n",
|
|
|
|
|
|
"56 ADL_Acheteurs_Dali_depuis050521 - 0.065303 \n",
|
|
|
|
|
|
"12 ADL 1fois France hors IDF 0.063167 \n",
|
|
|
|
|
|
"22 ADL FR OPTIN emails ouverts 0.052960 \n",
|
|
|
|
|
|
"125 BDL_anciensacheteursBDL_FRANCE_v2 0.051593 \n",
|
|
|
|
|
|
"11 ADL 15km femme 0.051241 \n",
|
|
|
|
|
|
"205 Export 2 scénario Anniversaire 0.051113 \n",
|
|
|
|
|
|
"204 Export 1 scénario Anniversaire 0.050358 \n",
|
|
|
|
|
|
"79 Analyse_BDL 0.048561 \n",
|
|
|
|
|
|
"13 ADL 1fois IDF hors Paris 0.042128 \n",
|
|
|
|
|
|
"84 Analyse_MJA 0.041119 \n",
|
|
|
|
|
|
"118 BDL_Anciens acheteurs Tintin_v2 0.039127 \n",
|
|
|
|
|
|
"91 BDL - Jumeaux - anciens acheteurs Tintin 0.038955 \n",
|
|
|
|
|
|
"44 ADL optin 2+ 0.038283 \n",
|
|
|
|
|
|
"247 Liste boutemont 0.033839 \n",
|
|
|
|
|
|
"37 ADL clients FR LUX fidélité +2 0.033168 \n",
|
|
|
|
|
|
"24 ADL France 2-14 visites 0.033107 \n",
|
|
|
|
|
|
"14 ADL 1fois Paris 0.032402 \n",
|
|
|
|
|
|
"116 BDL_AcheteursMRC_depuis060521 - Old 0.032150 \n",
|
|
|
|
|
|
"115 BDL_AcheteursMRC_depuis060521 - 07/12/2021 0.032150 \n",
|
|
|
|
|
|
"126 BDL_anciensacheteursBDL_GIRONDE_v2 0.031237 \n",
|
|
|
|
|
|
"81 Analyse_CDL 0.030649 \n",
|
|
|
|
|
|
"9 ADL -20km +30ans 0.027940 \n",
|
|
|
|
|
|
"322 consentement optin cdl individuels 0.027214 \n",
|
|
|
|
|
|
"42 ADL ile de france fidélité+2 0.025974 \n",
|
|
|
|
|
|
"86 Anniversaire 0.025558 \n",
|
|
|
|
|
|
"18 ADL 30-50 ans FID 1 0.024735 \n",
|
|
|
|
|
|
"150 CAH_ADL 0.024249 \n",
|
|
|
|
|
|
"344 consentement optout hdc individuels 0.024003 \n",
|
|
|
|
|
|
"314 consentement bdl individuels 0.023525 \n",
|
|
|
|
|
|
"318 consentement optin bdl individuels 0.023207 \n",
|
|
|
|
|
|
"122 BDL_anciens acheteurs BDL 0.022925 \n",
|
|
|
|
|
|
"183 CDL_Tous Optins 0.022568 \n",
|
|
|
|
|
|
"166 CDL France optin 0.021642 \n",
|
|
|
|
|
|
"167 CDL Optin_France_Belgique_Luxembourg 0.021339 \n",
|
|
|
|
|
|
"175 CDL optin_France 0.020988 \n",
|
|
|
|
|
|
"29 ADL IDF 30-55ans hors Chagall 0.020071 \n",
|
|
|
|
|
|
"327 consentement optin hdc individuels 0.019767 \n",
|
|
|
|
|
|
"271 Optins_BDL 0.019633 \n",
|
|
|
|
|
|
"123 BDL_anciens acheteurs BDL FRANCE 0.019280 \n",
|
|
|
|
|
|
"97 BDL opt-in France 0.019050 \n",
|
|
|
|
|
|
"8 ADL - nouveaux visiteurs Tintin 0.018092 \n",
|
|
|
|
|
|
"274 Optins_HDC 0.017418 \n",
|
|
|
|
|
|
"94 BDL Nouvelle-Aquitaine optin 0.017348 \n",
|
|
|
|
|
|
"49 ADL tarif famille 0.017094 \n",
|
|
|
|
|
|
"21 ADL Cosmos mai 2022 0.015652 \n",
|
|
|
|
|
|
"172 CDL intégrales -150km hors édition 2023 0.014517 \n",
|
|
|
|
|
|
"16 ADL 2+ IDF hors Paris 0.014415 \n",
|
|
|
|
|
|
"98 BDL optin -60km 0.013695 \n",
|
|
|
|
|
|
"124 BDL_anciens acheteurs BDL GIRONDE 0.013515 \n",
|
|
|
|
|
|
"264 Mailing groupes ZAO 0.013343 \n",
|
|
|
|
|
|
"191 Clients CDL -150km hors Intégrales 2022 0.013056 \n",
|
|
|
|
|
|
"227 HDC_CAH_zaowouki 0.012870 \n",
|
|
|
|
|
|
"222 HDC france_optin 0.012835 \n",
|
|
|
|
|
|
"17 ADL 2+ Paris 0.012601 \n",
|
|
|
|
|
|
"325 consentement optin fdl individuels 0.011658 \n",
|
|
|
|
|
|
"180 CDL sauf cezanne -100km 0.011013 \n",
|
|
|
|
|
|
"15 ADL 2+ France hors IDF 0.010999 \n",
|
|
|
|
|
|
"213 HDC -40km 0.010833 \n",
|
|
|
|
|
|
"199 Clients américains ADL optin 0.010710 \n",
|
|
|
|
|
|
"190 Clients ADL USA optin 0.010700 \n",
|
|
|
|
|
|
"193 Clients HDC >100km 0.010622 \n",
|
|
|
|
|
|
"65 ADL_acheteursOcéans_ALL 0.010540 \n",
|
|
|
|
|
|
"5 ADL - Formulaire inscription NL grand public OU scolaires 0.010446 \n",
|
|
|
|
|
|
"302 [AUTO] - Inactifs scénario parralèle 0.010419 \n",
|
|
|
|
|
|
"74 Acheteurs Dali ADL 2021 0.009927 \n",
|
|
|
|
|
|
"27 ADL IDF +55ans hors Chagall 0.009800 \n",
|
|
|
|
|
|
"23 ADL FR visiteurs Dali 0.009441 \n",
|
|
|
|
|
|
"214 HDC >100km 0.008993 \n",
|
|
|
|
|
|
"\n",
|
|
|
|
|
|
" cumulative_customers \n",
|
|
|
|
|
|
"304 0.097485 \n",
|
|
|
|
|
|
"1 0.175441 \n",
|
|
|
|
|
|
"76 0.241973 \n",
|
|
|
|
|
|
"2 0.285646 \n",
|
|
|
|
|
|
"200 0.321404 \n",
|
|
|
|
|
|
"324 0.354381 \n",
|
|
|
|
|
|
"303 0.383091 \n",
|
|
|
|
|
|
"334 0.408067 \n",
|
|
|
|
|
|
"316 0.430682 \n",
|
|
|
|
|
|
"270 0.452547 \n",
|
|
|
|
|
|
"57 0.470585 \n",
|
|
|
|
|
|
"25 0.487941 \n",
|
|
|
|
|
|
"26 0.505260 \n",
|
|
|
|
|
|
"43 0.522505 \n",
|
|
|
|
|
|
"41 0.539387 \n",
|
|
|
|
|
|
"269 0.555269 \n",
|
|
|
|
|
|
"78 0.569630 \n",
|
|
|
|
|
|
"140 0.583914 \n",
|
|
|
|
|
|
"58 0.598012 \n",
|
|
|
|
|
|
"72 0.611465 \n",
|
|
|
|
|
|
"39 0.624194 \n",
|
|
|
|
|
|
"59 0.636665 \n",
|
|
|
|
|
|
"139 0.648624 \n",
|
|
|
|
|
|
"45 0.658796 \n",
|
|
|
|
|
|
"10 0.668592 \n",
|
|
|
|
|
|
"357 0.678142 \n",
|
|
|
|
|
|
"60 0.687656 \n",
|
|
|
|
|
|
"149 0.696864 \n",
|
|
|
|
|
|
"336 0.705641 \n",
|
|
|
|
|
|
"351 0.714050 \n",
|
|
|
|
|
|
"340 0.722458 \n",
|
|
|
|
|
|
"347 0.730734 \n",
|
|
|
|
|
|
"56 0.738908 \n",
|
|
|
|
|
|
"12 0.746814 \n",
|
|
|
|
|
|
"22 0.753444 \n",
|
|
|
|
|
|
"125 0.759902 \n",
|
|
|
|
|
|
"11 0.766316 \n",
|
|
|
|
|
|
"205 0.772713 \n",
|
|
|
|
|
|
"204 0.779017 \n",
|
|
|
|
|
|
"79 0.785095 \n",
|
|
|
|
|
|
"13 0.790369 \n",
|
|
|
|
|
|
"84 0.795516 \n",
|
|
|
|
|
|
"118 0.800413 \n",
|
|
|
|
|
|
"91 0.805289 \n",
|
|
|
|
|
|
"44 0.810081 \n",
|
|
|
|
|
|
"247 0.814317 \n",
|
|
|
|
|
|
"37 0.818469 \n",
|
|
|
|
|
|
"24 0.822613 \n",
|
|
|
|
|
|
"14 0.826669 \n",
|
|
|
|
|
|
"116 0.830693 \n",
|
|
|
|
|
|
"115 0.834717 \n",
|
|
|
|
|
|
"126 0.838627 \n",
|
|
|
|
|
|
"81 0.842464 \n",
|
|
|
|
|
|
"9 0.845961 \n",
|
|
|
|
|
|
"322 0.849368 \n",
|
|
|
|
|
|
"42 0.852619 \n",
|
|
|
|
|
|
"86 0.855818 \n",
|
|
|
|
|
|
"18 0.858914 \n",
|
|
|
|
|
|
"150 0.861950 \n",
|
|
|
|
|
|
"344 0.864954 \n",
|
|
|
|
|
|
"314 0.867899 \n",
|
|
|
|
|
|
"318 0.870804 \n",
|
|
|
|
|
|
"122 0.873673 \n",
|
|
|
|
|
|
"183 0.876498 \n",
|
|
|
|
|
|
"166 0.879207 \n",
|
|
|
|
|
|
"167 0.881878 \n",
|
|
|
|
|
|
"175 0.884505 \n",
|
|
|
|
|
|
"29 0.887018 \n",
|
|
|
|
|
|
"327 0.889492 \n",
|
|
|
|
|
|
"271 0.891949 \n",
|
|
|
|
|
|
"123 0.894363 \n",
|
|
|
|
|
|
"97 0.896747 \n",
|
|
|
|
|
|
"8 0.899012 \n",
|
|
|
|
|
|
"274 0.901192 \n",
|
|
|
|
|
|
"94 0.903364 \n",
|
|
|
|
|
|
"49 0.905503 \n",
|
|
|
|
|
|
"21 0.907462 \n",
|
|
|
|
|
|
"172 0.909280 \n",
|
|
|
|
|
|
"16 0.911084 \n",
|
|
|
|
|
|
"98 0.912798 \n",
|
|
|
|
|
|
"124 0.914490 \n",
|
|
|
|
|
|
"264 0.916160 \n",
|
|
|
|
|
|
"191 0.917794 \n",
|
|
|
|
|
|
"227 0.919405 \n",
|
|
|
|
|
|
"222 0.921012 \n",
|
|
|
|
|
|
"17 0.922589 \n",
|
|
|
|
|
|
"325 0.924048 \n",
|
|
|
|
|
|
"180 0.925427 \n",
|
|
|
|
|
|
"15 0.926804 \n",
|
|
|
|
|
|
"213 0.928160 \n",
|
|
|
|
|
|
"199 0.929500 \n",
|
|
|
|
|
|
"190 0.930840 \n",
|
|
|
|
|
|
"193 0.932169 \n",
|
|
|
|
|
|
"65 0.933489 \n",
|
|
|
|
|
|
"5 0.934796 \n",
|
|
|
|
|
|
"302 0.936100 \n",
|
|
|
|
|
|
"74 0.937343 \n",
|
|
|
|
|
|
"27 0.938570 \n",
|
|
|
|
|
|
"23 0.939751 \n",
|
|
|
|
|
|
"214 0.940877 "
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
"execution_count": 79,
|
|
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"output_type": "execute_result"
|
2024-02-25 18:33:24 +01:00
|
|
|
|
}
|
|
|
|
|
|
],
|
|
|
|
|
|
"source": [
|
2024-02-25 23:53:10 +01:00
|
|
|
|
"print_main_target('101', 100)"
|
2024-02-25 18:33:24 +01:00
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "markdown",
|
|
|
|
|
|
"id": "1ede9eaa-7f0a-4856-9349-b2747d6a4901",
|
|
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"source": [
|
|
|
|
|
|
"# Fin travail 25/02"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "markdown",
|
|
|
|
|
|
"id": "c437eaec",
|
|
|
|
|
|
"metadata": {
|
|
|
|
|
|
"jp-MarkdownHeadingCollapsed": true
|
|
|
|
|
|
},
|
2024-01-10 19:19:51 +01:00
|
|
|
|
"source": [
|
2024-01-13 10:38:10 +01:00
|
|
|
|
"# Exemple sur Company 1"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "markdown",
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"id": "a1c1fc39",
|
2024-01-13 10:38:10 +01:00
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"source": [
|
|
|
|
|
|
"## Chargement données"
|
2024-01-10 19:19:51 +01:00
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
2024-01-13 14:14:11 +01:00
|
|
|
|
"execution_count": 3,
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"id": "66f8c17b",
|
2024-01-10 19:19:51 +01:00
|
|
|
|
"metadata": {},
|
2024-01-13 10:38:10 +01:00
|
|
|
|
"outputs": [],
|
|
|
|
|
|
"source": [
|
|
|
|
|
|
"BUCKET = \"bdc2324-data/1\"\n",
|
|
|
|
|
|
"liste_database = fs.ls(BUCKET)"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
2024-02-05 22:04:02 +01:00
|
|
|
|
"execution_count": 5,
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"id": "c08e6798",
|
2024-01-13 10:38:10 +01:00
|
|
|
|
"metadata": {},
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"outputs": [],
|
2024-01-13 10:38:10 +01:00
|
|
|
|
"source": [
|
2024-01-13 14:14:11 +01:00
|
|
|
|
"liste_database_select = ['suppliers', 'ticket', 'purchase', 'consumption', 'type_ofs']\n",
|
2024-01-13 10:38:10 +01:00
|
|
|
|
"\n",
|
|
|
|
|
|
"# Filtrer la liste pour les éléments contenant au moins un élément de la liste à tester\n",
|
|
|
|
|
|
"liste_database_filtered = [element for element in liste_database if any(element_part in element for element_part in liste_database_select)]\n",
|
|
|
|
|
|
"\n",
|
|
|
|
|
|
"# Afficher le résultat\n",
|
|
|
|
|
|
"print(liste_database_filtered)"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
2024-02-10 13:23:44 +01:00
|
|
|
|
"execution_count": 6,
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"id": "675f518d",
|
2024-01-13 10:38:10 +01:00
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"outputs": [
|
|
|
|
|
|
{
|
|
|
|
|
|
"name": "stderr",
|
|
|
|
|
|
"output_type": "stream",
|
|
|
|
|
|
"text": [
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"<<<<<<< local <modified: >\n",
|
2024-02-10 13:23:44 +01:00
|
|
|
|
"/tmp/ipykernel_445/4081512283.py:10: DtypeWarning: Columns (1) have mixed types. Specify dtype option on import or set low_memory=False.\n",
|
2024-02-10 22:46:56 +01:00
|
|
|
|
" df = pd.read_csv(file_in)\n",
|
|
|
|
|
|
"=======\n",
|
2024-02-07 23:28:55 +01:00
|
|
|
|
"/tmp/ipykernel_15285/4081512283.py:10: DtypeWarning: Columns (1) have mixed types. Specify dtype option on import or set low_memory=False.\n",
|
2024-02-10 22:46:56 +01:00
|
|
|
|
" df = pd.read_csv(file_in)\n",
|
|
|
|
|
|
">>>>>>> remote <modified: >\n"
|
2024-01-13 10:38:10 +01:00
|
|
|
|
]
|
|
|
|
|
|
}
|
|
|
|
|
|
],
|
|
|
|
|
|
"source": [
|
2024-02-04 16:02:01 +01:00
|
|
|
|
"# loop to create dataframes from liste\n",
|
|
|
|
|
|
"files_path = liste_database\n",
|
2024-01-13 10:38:10 +01:00
|
|
|
|
"\n",
|
|
|
|
|
|
"client_number = files_path[0].split(\"/\")[1]\n",
|
|
|
|
|
|
"df_prefix = \"df\" + str(client_number) + \"_\"\n",
|
|
|
|
|
|
"\n",
|
|
|
|
|
|
"for i in range(len(files_path)) :\n",
|
|
|
|
|
|
" current_path = files_path[i]\n",
|
|
|
|
|
|
" with fs.open(current_path, mode=\"rb\") as file_in:\n",
|
|
|
|
|
|
" df = pd.read_csv(file_in)\n",
|
|
|
|
|
|
" # the pattern of the name is df1xxx\n",
|
|
|
|
|
|
" nom_dataframe = df_prefix + re.search(r'\\/(\\d+)\\/(\\d+)([a-zA-Z_]+)\\.csv$', current_path).group(3)\n",
|
|
|
|
|
|
" globals()[nom_dataframe] = df"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
2024-02-05 22:04:02 +01:00
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "markdown",
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"id": "e855f403",
|
2024-02-19 23:11:28 +01:00
|
|
|
|
"metadata": {},
|
2024-02-05 22:04:02 +01:00
|
|
|
|
"source": [
|
|
|
|
|
|
"## customersplus.csv"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
|
"execution_count": 22,
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"id": "91a8f8c4",
|
2024-02-05 22:04:02 +01:00
|
|
|
|
"metadata": {},
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"outputs": [],
|
2024-02-05 22:04:02 +01:00
|
|
|
|
"source": [
|
|
|
|
|
|
"a = pd.DataFrame(df1_customersplus.info())"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
|
"execution_count": 31,
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"id": "2fda171d",
|
2024-02-05 22:04:02 +01:00
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"outputs": [],
|
|
|
|
|
|
"source": [
|
|
|
|
|
|
"def info_colonnes_dataframe(df):\n",
|
|
|
|
|
|
" # Créer une liste pour stocker les informations sur chaque colonne\n",
|
|
|
|
|
|
" infos_colonnes = []\n",
|
|
|
|
|
|
"\n",
|
|
|
|
|
|
" # Parcourir les colonnes du DataFrame\n",
|
|
|
|
|
|
" for nom_colonne, serie in df.items(): # Utiliser items() au lieu de iteritems()\n",
|
|
|
|
|
|
" # Calculer le taux de valeurs manquantes\n",
|
|
|
|
|
|
" taux_na = serie.isna().mean() * 100\n",
|
|
|
|
|
|
"\n",
|
|
|
|
|
|
" # Ajouter les informations à la liste\n",
|
|
|
|
|
|
" infos_colonnes.append({\n",
|
|
|
|
|
|
" 'Nom_colonne': nom_colonne,\n",
|
|
|
|
|
|
" 'Type_colonne': str(serie.dtype),\n",
|
|
|
|
|
|
" 'Taux_NA': taux_na\n",
|
|
|
|
|
|
" })\n",
|
|
|
|
|
|
"\n",
|
|
|
|
|
|
" # Créer une nouvelle DataFrame à partir de la liste d'informations\n",
|
|
|
|
|
|
" df_infos_colonnes = pd.DataFrame(infos_colonnes)\n",
|
|
|
|
|
|
"\n",
|
|
|
|
|
|
" return df_infos_colonnes"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
|
"execution_count": 35,
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"id": "205eeeab",
|
2024-02-05 22:04:02 +01:00
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"outputs": [],
|
|
|
|
|
|
"source": [
|
|
|
|
|
|
"def cleaning_date(df, column_name):\n",
|
|
|
|
|
|
" \"\"\"\n",
|
|
|
|
|
|
" Nettoie la colonne spécifiée du DataFrame en convertissant les valeurs en datetime avec le format ISO8601.\n",
|
|
|
|
|
|
"\n",
|
|
|
|
|
|
" Parameters:\n",
|
|
|
|
|
|
" - df: DataFrame\n",
|
|
|
|
|
|
" Le DataFrame contenant la colonne à nettoyer.\n",
|
|
|
|
|
|
" - column_name: str\n",
|
|
|
|
|
|
" Le nom de la colonne à nettoyer.\n",
|
|
|
|
|
|
"\n",
|
|
|
|
|
|
" Returns:\n",
|
|
|
|
|
|
" - DataFrame\n",
|
|
|
|
|
|
" Le DataFrame modifié avec la colonne nettoyée.\n",
|
|
|
|
|
|
" \"\"\"\n",
|
|
|
|
|
|
" df[column_name] = pd.to_datetime(df[column_name], utc = True, format = 'ISO8601')\n",
|
|
|
|
|
|
" return df"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
|
"execution_count": 32,
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"id": "634282c5",
|
2024-02-05 22:04:02 +01:00
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"outputs": [],
|
|
|
|
|
|
"source": [
|
|
|
|
|
|
"a = info_colonnes_dataframe(df1_customersplus)"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
|
"execution_count": 33,
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"id": "0e8d4133",
|
2024-02-05 22:04:02 +01:00
|
|
|
|
"metadata": {},
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"outputs": [],
|
2024-02-05 22:04:02 +01:00
|
|
|
|
"source": [
|
|
|
|
|
|
"a"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
|
"execution_count": 16,
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"id": "1268ad5a",
|
2024-02-05 22:04:02 +01:00
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"outputs": [],
|
|
|
|
|
|
"source": [
|
|
|
|
|
|
"a = pd.DataFrame(df1_customersplus.isna().sum()/len(df1_customersplus)*100)"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
|
"execution_count": 40,
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"id": "bd41dc80",
|
2024-02-05 22:04:02 +01:00
|
|
|
|
"metadata": {},
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"outputs": [],
|
2024-02-05 22:04:02 +01:00
|
|
|
|
"source": [
|
|
|
|
|
|
"# Selection des variables\n",
|
|
|
|
|
|
"df1_customersplus_clean = df1_customersplus.copy()\n",
|
|
|
|
|
|
"\n",
|
|
|
|
|
|
"cleaning_date(df1_customersplus_clean, 'first_buying_date')\n",
|
|
|
|
|
|
"cleaning_date(df1_customersplus_clean, 'last_visiting_date')\n",
|
|
|
|
|
|
"\n",
|
|
|
|
|
|
"df1_customersplus_clean.drop(['lastname', 'firstname', 'email', 'civility', 'note', 'created_at', 'updated_at', 'deleted_at', 'extra', 'reference', 'extra_field', 'identifier', 'need_reload', 'preferred_category', 'preferred_supplier', 'preferred_formula', 'zipcode', 'last_visiting_date'], axis = 1, inplace=True)\n",
|
|
|
|
|
|
"df1_customersplus_clean.rename(columns = {'id' : 'customer_id'}, inplace = True)\n",
|
|
|
|
|
|
"\n"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
2024-01-13 14:47:24 +01:00
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "markdown",
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"id": "64d0f76b",
|
2024-02-04 16:02:01 +01:00
|
|
|
|
"metadata": {
|
|
|
|
|
|
"jp-MarkdownHeadingCollapsed": true
|
|
|
|
|
|
},
|
2024-01-13 14:47:24 +01:00
|
|
|
|
"source": [
|
|
|
|
|
|
"## tickets.csv"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
|
"execution_count": 6,
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"id": "7e683711",
|
2024-01-13 14:47:24 +01:00
|
|
|
|
"metadata": {},
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"outputs": [],
|
2024-01-13 14:47:24 +01:00
|
|
|
|
"source": [
|
|
|
|
|
|
"df1_tickets"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
|
"execution_count": 7,
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"id": "e7b9a52e",
|
2024-01-13 14:47:24 +01:00
|
|
|
|
"metadata": {},
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"outputs": [],
|
2024-01-13 14:47:24 +01:00
|
|
|
|
"source": [
|
|
|
|
|
|
"df1_tickets.info()"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
|
"execution_count": 8,
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"id": "568280e8",
|
2024-01-13 14:47:24 +01:00
|
|
|
|
"metadata": {},
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"outputs": [],
|
2024-01-13 14:47:24 +01:00
|
|
|
|
"source": [
|
|
|
|
|
|
"df1_tickets.isna().sum()/len(df1_tickets)*100"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
|
"execution_count": 9,
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"id": "29ecec90",
|
2024-01-13 14:47:24 +01:00
|
|
|
|
"metadata": {},
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"outputs": [],
|
2024-01-13 14:47:24 +01:00
|
|
|
|
"source": [
|
|
|
|
|
|
"# Selection des variables\n",
|
2024-02-05 22:04:02 +01:00
|
|
|
|
"df1_tickets_clean = df1_tickets.drop(['lastname', 'firstname', 'email', 'created_at', 'updated_at', 'extra', 'reference', 'extra_field', 'identifier', 'need_reload', 'preferred_category', 'preferred_supplier', 'preferred_formula', 'zipcode'], axis = 1, inplace=True)\n",
|
|
|
|
|
|
"df1_tickets_clean.rename(columns = {'id' : 'customer_id'}, inplace = True)"
|
2024-01-13 14:47:24 +01:00
|
|
|
|
]
|
|
|
|
|
|
},
|
2024-01-13 10:38:10 +01:00
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "markdown",
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"id": "22bb5de4",
|
2024-02-10 13:23:44 +01:00
|
|
|
|
"metadata": {
|
|
|
|
|
|
"jp-MarkdownHeadingCollapsed": true
|
|
|
|
|
|
},
|
2024-01-13 10:38:10 +01:00
|
|
|
|
"source": [
|
|
|
|
|
|
"## suppliers.csv"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
2024-01-13 14:47:24 +01:00
|
|
|
|
"execution_count": 10,
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"id": "6a9a91f4",
|
2024-01-13 10:38:10 +01:00
|
|
|
|
"metadata": {},
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"outputs": [],
|
2024-01-13 10:38:10 +01:00
|
|
|
|
"source": [
|
|
|
|
|
|
"df1_suppliers"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
2024-01-13 14:47:24 +01:00
|
|
|
|
"execution_count": 11,
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"id": "bab4758a",
|
2024-01-13 10:38:10 +01:00
|
|
|
|
"metadata": {},
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"outputs": [],
|
2024-01-13 10:38:10 +01:00
|
|
|
|
"source": [
|
|
|
|
|
|
"df1_suppliers.info()"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
2024-01-13 14:47:24 +01:00
|
|
|
|
"execution_count": 12,
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"id": "b5fff251",
|
2024-01-13 10:38:10 +01:00
|
|
|
|
"metadata": {},
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"outputs": [],
|
2024-01-10 19:19:51 +01:00
|
|
|
|
"source": [
|
2024-01-13 14:47:24 +01:00
|
|
|
|
"df1_suppliers.isna().sum()/len(df1_suppliers)*100"
|
2024-01-13 10:38:10 +01:00
|
|
|
|
]
|
|
|
|
|
|
},
|
2024-01-13 14:14:11 +01:00
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
2024-01-14 17:38:16 +01:00
|
|
|
|
"execution_count": 13,
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"id": "8b09e2a3",
|
2024-01-13 14:14:11 +01:00
|
|
|
|
"metadata": {},
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"outputs": [],
|
2024-01-10 19:19:51 +01:00
|
|
|
|
"source": [
|
2024-01-13 14:47:24 +01:00
|
|
|
|
"# Selection des variables\n",
|
|
|
|
|
|
"df1_suppliers_clean = df1_suppliers[['id', 'name']]\n",
|
|
|
|
|
|
"df1_suppliers_clean.rename(columns = {'name' : 'supplier_name'}, inplace = True)"
|
2024-01-13 10:38:10 +01:00
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
2024-01-14 17:38:16 +01:00
|
|
|
|
"execution_count": 14,
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"id": "ecee7cdc",
|
2024-01-10 19:19:51 +01:00
|
|
|
|
"metadata": {},
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"outputs": [],
|
2024-01-10 19:19:51 +01:00
|
|
|
|
"source": [
|
2024-01-13 14:47:24 +01:00
|
|
|
|
"df1_suppliers_clean"
|
2024-01-10 19:19:51 +01:00
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
2024-01-13 14:47:24 +01:00
|
|
|
|
"cell_type": "markdown",
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"id": "c8e6e69b",
|
2024-02-04 16:02:01 +01:00
|
|
|
|
"metadata": {
|
|
|
|
|
|
"jp-MarkdownHeadingCollapsed": true
|
|
|
|
|
|
},
|
2024-01-13 14:47:24 +01:00
|
|
|
|
"source": [
|
|
|
|
|
|
"## type_ofs.csv"
|
2024-01-10 19:19:51 +01:00
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
2024-01-13 14:47:24 +01:00
|
|
|
|
"execution_count": 15,
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"id": "1a6cff1f",
|
2024-01-10 19:19:51 +01:00
|
|
|
|
"metadata": {},
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"outputs": [],
|
2024-01-10 19:19:51 +01:00
|
|
|
|
"source": [
|
2024-01-13 14:47:24 +01:00
|
|
|
|
"df1_type_ofs"
|
2024-01-10 19:19:51 +01:00
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
2024-01-13 14:47:24 +01:00
|
|
|
|
"execution_count": 16,
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"id": "93630b41",
|
2024-01-10 19:19:51 +01:00
|
|
|
|
"metadata": {},
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"outputs": [],
|
2024-01-10 19:19:51 +01:00
|
|
|
|
"source": [
|
2024-01-13 14:47:24 +01:00
|
|
|
|
"df1_type_ofs.info()"
|
2024-01-10 19:19:51 +01:00
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
2024-01-14 17:38:16 +01:00
|
|
|
|
"execution_count": 17,
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"id": "4f94481a",
|
2024-01-13 14:47:24 +01:00
|
|
|
|
"metadata": {},
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"outputs": [],
|
2024-01-13 14:47:24 +01:00
|
|
|
|
"source": [
|
|
|
|
|
|
"# Selection des variables\n",
|
|
|
|
|
|
"df1_type_ofs_clean = df1_type_ofs[['id', 'name', 'children']]\n",
|
|
|
|
|
|
"df1_type_ofs_clean.rename(columns = {'name' : 'type_of_ticket_name'}, inplace = True)"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "markdown",
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"id": "1b2811e2",
|
2024-02-04 16:02:01 +01:00
|
|
|
|
"metadata": {
|
|
|
|
|
|
"jp-MarkdownHeadingCollapsed": true
|
|
|
|
|
|
},
|
2024-01-13 14:47:24 +01:00
|
|
|
|
"source": [
|
|
|
|
|
|
"## purchases.csv"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
2024-01-14 17:38:16 +01:00
|
|
|
|
"execution_count": 18,
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"id": "2455d2e1",
|
2024-01-13 14:47:24 +01:00
|
|
|
|
"metadata": {
|
|
|
|
|
|
"scrolled": true
|
|
|
|
|
|
},
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"outputs": [],
|
2024-01-10 19:19:51 +01:00
|
|
|
|
"source": [
|
2024-01-13 14:47:24 +01:00
|
|
|
|
"df1_purchases"
|
2024-01-10 19:19:51 +01:00
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
2024-01-14 17:38:16 +01:00
|
|
|
|
"execution_count": 19,
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"id": "5f9a159d",
|
2024-01-10 19:19:51 +01:00
|
|
|
|
"metadata": {},
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"outputs": [],
|
2024-01-10 19:19:51 +01:00
|
|
|
|
"source": [
|
2024-01-13 14:47:24 +01:00
|
|
|
|
"df1_purchases.info()"
|
2024-01-10 19:19:51 +01:00
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
2024-01-14 17:38:16 +01:00
|
|
|
|
"execution_count": 20,
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"id": "db201bf7",
|
2024-01-10 19:19:51 +01:00
|
|
|
|
"metadata": {},
|
2024-01-13 14:47:24 +01:00
|
|
|
|
"outputs": [],
|
2024-01-10 19:19:51 +01:00
|
|
|
|
"source": [
|
2024-01-13 14:47:24 +01:00
|
|
|
|
"# Nettoyage purchase_date\n",
|
|
|
|
|
|
"df1_purchases['purchase_date'] = pd.to_datetime(df1_purchases['purchase_date'], utc = True)\n",
|
|
|
|
|
|
"df1_purchases['purchase_date'] = pd.to_datetime(df1_purchases['purchase_date'], format = 'ISO8601')"
|
2024-01-10 19:19:51 +01:00
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
2024-01-14 17:38:16 +01:00
|
|
|
|
"execution_count": 21,
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"id": "bd436fca",
|
2024-01-10 19:19:51 +01:00
|
|
|
|
"metadata": {},
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"outputs": [],
|
2024-01-10 19:19:51 +01:00
|
|
|
|
"source": [
|
2024-01-13 14:47:24 +01:00
|
|
|
|
"df1_purchases.info()"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
2024-01-14 17:38:16 +01:00
|
|
|
|
"execution_count": 22,
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"id": "83435862",
|
2024-01-13 14:47:24 +01:00
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"outputs": [],
|
|
|
|
|
|
"source": [
|
|
|
|
|
|
"# Selection des variables\n",
|
|
|
|
|
|
"df1_purchases_clean = df1_purchases[['id', 'purchase_date', 'customer_id']]"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "markdown",
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"id": "f210e730",
|
2024-02-10 13:23:44 +01:00
|
|
|
|
"metadata": {
|
|
|
|
|
|
"jp-MarkdownHeadingCollapsed": true
|
|
|
|
|
|
},
|
2024-01-13 14:47:24 +01:00
|
|
|
|
"source": [
|
|
|
|
|
|
"## Fusion de l'ensemble des données billétiques"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
2024-01-14 17:38:16 +01:00
|
|
|
|
"execution_count": 23,
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"id": "1f8b3aa7",
|
2024-01-13 14:47:24 +01:00
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"outputs": [],
|
|
|
|
|
|
"source": [
|
|
|
|
|
|
"# Fusion avec fournisseurs\n",
|
|
|
|
|
|
"df1_ticket_information = pd.merge(df1_tickets_clean, df1_suppliers_clean, left_on = 'supplier_id', right_on = 'id', how = 'inner')\n",
|
|
|
|
|
|
"df1_ticket_information.drop(['supplier_id', 'id'], axis = 1, inplace=True)\n",
|
2024-01-10 19:19:51 +01:00
|
|
|
|
"\n",
|
2024-01-13 14:47:24 +01:00
|
|
|
|
"# Fusion avec type de tickets\n",
|
|
|
|
|
|
"df1_ticket_information = pd.merge(df1_ticket_information, df1_type_ofs_clean, left_on = 'type_of', right_on = 'id', how = 'inner')\n",
|
|
|
|
|
|
"df1_ticket_information.drop(['type_of', 'id'], axis = 1, inplace=True)\n",
|
2024-01-10 19:19:51 +01:00
|
|
|
|
"\n",
|
2024-01-13 14:47:24 +01:00
|
|
|
|
"# Fusion avec achats\n",
|
|
|
|
|
|
"df1_ticket_information = pd.merge(df1_ticket_information, df1_purchases_clean, left_on = 'purchase_id', right_on = 'id', how = 'inner')\n",
|
|
|
|
|
|
"df1_ticket_information.drop(['purchase_id', 'id'], axis = 1, inplace=True)"
|
2024-01-10 19:19:51 +01:00
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
2024-01-14 17:38:16 +01:00
|
|
|
|
"execution_count": 24,
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"id": "83a4d021",
|
2024-01-14 17:38:16 +01:00
|
|
|
|
"metadata": {
|
|
|
|
|
|
"scrolled": true
|
|
|
|
|
|
},
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"outputs": [],
|
2024-01-14 17:38:16 +01:00
|
|
|
|
"source": [
|
|
|
|
|
|
"df1_ticket_information"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "markdown",
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"id": "56e6ebd1",
|
2024-02-10 13:23:44 +01:00
|
|
|
|
"metadata": {
|
|
|
|
|
|
"jp-MarkdownHeadingCollapsed": true
|
|
|
|
|
|
},
|
2024-01-14 17:38:16 +01:00
|
|
|
|
"source": [
|
|
|
|
|
|
"# Utilisation de fonctions"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
2024-02-04 16:02:01 +01:00
|
|
|
|
"execution_count": 51,
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"id": "88fcde4b",
|
2024-01-10 19:19:51 +01:00
|
|
|
|
"metadata": {},
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"outputs": [],
|
2024-01-14 17:38:16 +01:00
|
|
|
|
"source": [
|
2024-02-04 16:02:01 +01:00
|
|
|
|
"# Créer un DataFrame exemple\n",
|
|
|
|
|
|
"df_not_clean = df1_campaign_stats[['opened_at']].head(20)\n",
|
|
|
|
|
|
"\n",
|
|
|
|
|
|
"# Appliquer la fonction pour nettoyer la colonne 'purchase_date' de manière vectorisée\n",
|
|
|
|
|
|
"df_clean = cleaning_date(df_not_clean, 'opened_at')\n",
|
|
|
|
|
|
"df_clean.rename(columns = {'opened_at' : 'opened_at_clean'}, inplace = True)\n",
|
|
|
|
|
|
"\n",
|
|
|
|
|
|
"test = pd.concat([df1_campaign_stats[['opened_at']].head(20), df_clean], axis=1)\n",
|
|
|
|
|
|
"\n",
|
|
|
|
|
|
"test.info()"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "markdown",
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"id": "818f69db",
|
2024-02-04 16:02:01 +01:00
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"source": [
|
|
|
|
|
|
"## Nettoyage, selection et fusion"
|
2024-01-14 17:38:16 +01:00
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
2024-02-04 16:02:01 +01:00
|
|
|
|
"execution_count": 23,
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"id": "c9654eda",
|
2024-02-04 16:02:01 +01:00
|
|
|
|
"metadata": {},
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"outputs": [],
|
2024-01-10 19:19:51 +01:00
|
|
|
|
"source": [
|
2024-01-13 14:47:24 +01:00
|
|
|
|
"df1_ticket_information"
|
2024-01-10 19:19:51 +01:00
|
|
|
|
]
|
2024-01-13 14:47:24 +01:00
|
|
|
|
},
|
2024-02-04 16:02:01 +01:00
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
|
"execution_count": 14,
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"id": "7f2b620c",
|
2024-02-04 16:02:01 +01:00
|
|
|
|
"metadata": {},
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"outputs": [],
|
2024-02-04 16:02:01 +01:00
|
|
|
|
"source": [
|
|
|
|
|
|
"df1_ticket_information.info()"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
2024-01-14 17:38:16 +01:00
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "markdown",
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"id": "637bdb72",
|
2024-01-14 17:38:16 +01:00
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"source": [
|
2024-02-04 16:02:01 +01:00
|
|
|
|
"# Customer information"
|
2024-01-14 17:38:16 +01:00
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
2024-02-04 16:02:01 +01:00
|
|
|
|
"cell_type": "markdown",
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"id": "14c52894",
|
2024-02-10 13:23:44 +01:00
|
|
|
|
"metadata": {
|
|
|
|
|
|
"jp-MarkdownHeadingCollapsed": true
|
|
|
|
|
|
},
|
2024-01-14 17:38:16 +01:00
|
|
|
|
"source": [
|
2024-02-04 16:02:01 +01:00
|
|
|
|
"## Target area"
|
2024-01-14 17:38:16 +01:00
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
2024-02-07 23:28:55 +01:00
|
|
|
|
"execution_count": 8,
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"id": "d83abfbf",
|
2024-01-14 17:38:16 +01:00
|
|
|
|
"metadata": {},
|
2024-02-04 16:02:01 +01:00
|
|
|
|
"outputs": [
|
|
|
|
|
|
{
|
|
|
|
|
|
"name": "stderr",
|
|
|
|
|
|
"output_type": "stream",
|
|
|
|
|
|
"text": [
|
2024-02-07 23:28:55 +01:00
|
|
|
|
"/tmp/ipykernel_15285/2625134041.py:3: SettingWithCopyWarning: \n",
|
2024-02-04 16:02:01 +01:00
|
|
|
|
"A value is trying to be set on a copy of a slice from a DataFrame\n",
|
|
|
|
|
|
"\n",
|
|
|
|
|
|
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
|
|
|
|
|
" df1_targets_clean.rename(columns = {'id' : 'target_id' , 'name' : 'target_name'}, inplace = True)\n"
|
|
|
|
|
|
]
|
|
|
|
|
|
}
|
|
|
|
|
|
],
|
2024-01-14 17:38:16 +01:00
|
|
|
|
"source": [
|
2024-02-04 16:02:01 +01:00
|
|
|
|
"# Target.csv cleaning\n",
|
|
|
|
|
|
"df1_targets_clean = df1_targets[[\"id\", \"target_type_id\", \"name\"]]\n",
|
|
|
|
|
|
"df1_targets_clean.rename(columns = {'id' : 'target_id' , 'name' : 'target_name'}, inplace = True)\n",
|
|
|
|
|
|
"\n",
|
|
|
|
|
|
"# target_type cleaning\n",
|
|
|
|
|
|
"df1_target_types_clean = df1_target_types[[\"id\",\"is_import\",\"name\"]].add_prefix(\"target_type_\")\n",
|
|
|
|
|
|
"\n",
|
|
|
|
|
|
"#customer_target_mappings cleaning\n",
|
|
|
|
|
|
"df1_customer_target_mappings_clean = df1_customer_target_mappings[[\"id\", \"customer_id\", \"target_id\"]]\n",
|
|
|
|
|
|
"\n",
|
|
|
|
|
|
"# Merge target et target_type\n",
|
|
|
|
|
|
"df1_targets_full = pd.merge(df1_targets_clean, df1_target_types_clean, left_on='target_type_id', right_on='target_type_id', how='inner')\n",
|
|
|
|
|
|
"df1_targets_full.drop(['target_type_id'], axis = 1, inplace=True)\n",
|
|
|
|
|
|
"\n",
|
|
|
|
|
|
"# Merge\n",
|
|
|
|
|
|
"df1_targets_full = pd.merge(df1_customer_target_mappings_clean, df1_targets_full, left_on='target_id', right_on='target_id', how='inner')\n",
|
|
|
|
|
|
"df1_targets_full.drop(['target_id'], axis = 1, inplace=True)"
|
2024-01-14 17:38:16 +01:00
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
2024-02-04 16:02:01 +01:00
|
|
|
|
"execution_count": 62,
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"id": "90d71b2c",
|
2024-01-14 17:38:16 +01:00
|
|
|
|
"metadata": {},
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"outputs": [],
|
2024-02-04 16:02:01 +01:00
|
|
|
|
"source": [
|
|
|
|
|
|
"df1_targets_test = df1_targets_full[['id', 'customer_id']].groupby(['customer_id']).count()\n",
|
|
|
|
|
|
"len(df1_targets_test[df1_targets_test['id'] > 1]) / len(df1_targets_test)\n",
|
|
|
|
|
|
"\n",
|
|
|
|
|
|
"# 99,6% des 151 000 client visés sont catégorisés plusieurs fois et en moyenne 5 fois... \n",
|
|
|
|
|
|
"df1_targets_test.mean()\n"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
2024-02-07 23:28:55 +01:00
|
|
|
|
"execution_count": 10,
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"id": "2301de1e",
|
2024-02-07 23:28:55 +01:00
|
|
|
|
"metadata": {},
|
2024-02-04 16:02:01 +01:00
|
|
|
|
"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>customer_id</th>\n",
|
|
|
|
|
|
" <th>target_name</th>\n",
|
|
|
|
|
|
" <th>target_type_is_import</th>\n",
|
|
|
|
|
|
" <th>target_type_name</th>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" </thead>\n",
|
|
|
|
|
|
" <tbody>\n",
|
|
|
|
|
|
" <tr>\n",
|
2024-02-07 23:28:55 +01:00
|
|
|
|
" <th>0</th>\n",
|
|
|
|
|
|
" <td>1184824</td>\n",
|
|
|
|
|
|
" <td>645400</td>\n",
|
|
|
|
|
|
" <td>DDCP PROMO Réseau livres</td>\n",
|
2024-02-04 16:02:01 +01:00
|
|
|
|
" <td>False</td>\n",
|
|
|
|
|
|
" <td>manual_static_filter</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
2024-02-07 23:28:55 +01:00
|
|
|
|
" <th>1</th>\n",
|
|
|
|
|
|
" <td>210571</td>\n",
|
|
|
|
|
|
" <td>2412</td>\n",
|
|
|
|
|
|
" <td>DDCP PROMO Réseau livres</td>\n",
|
2024-02-04 16:02:01 +01:00
|
|
|
|
" <td>False</td>\n",
|
|
|
|
|
|
" <td>manual_static_filter</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
2024-02-07 23:28:55 +01:00
|
|
|
|
" <th>2</th>\n",
|
|
|
|
|
|
" <td>210572</td>\n",
|
|
|
|
|
|
" <td>4536</td>\n",
|
|
|
|
|
|
" <td>DDCP PROMO Réseau livres</td>\n",
|
2024-02-04 16:02:01 +01:00
|
|
|
|
" <td>False</td>\n",
|
|
|
|
|
|
" <td>manual_static_filter</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
2024-02-07 23:28:55 +01:00
|
|
|
|
" <th>3</th>\n",
|
|
|
|
|
|
" <td>210573</td>\n",
|
|
|
|
|
|
" <td>6736</td>\n",
|
|
|
|
|
|
" <td>DDCP PROMO Réseau livres</td>\n",
|
2024-02-04 16:02:01 +01:00
|
|
|
|
" <td>False</td>\n",
|
|
|
|
|
|
" <td>manual_static_filter</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" <tr>\n",
|
2024-02-07 23:28:55 +01:00
|
|
|
|
" <th>4</th>\n",
|
|
|
|
|
|
" <td>210574</td>\n",
|
|
|
|
|
|
" <td>38210</td>\n",
|
|
|
|
|
|
" <td>DDCP PROMO Réseau livres</td>\n",
|
2024-02-04 16:02:01 +01:00
|
|
|
|
" <td>False</td>\n",
|
|
|
|
|
|
" <td>manual_static_filter</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" </tbody>\n",
|
|
|
|
|
|
"</table>\n",
|
|
|
|
|
|
"</div>"
|
|
|
|
|
|
],
|
|
|
|
|
|
"text/plain": [
|
2024-02-07 23:28:55 +01:00
|
|
|
|
" id customer_id target_name target_type_is_import \\\n",
|
|
|
|
|
|
"0 1184824 645400 DDCP PROMO Réseau livres False \n",
|
|
|
|
|
|
"1 210571 2412 DDCP PROMO Réseau livres False \n",
|
|
|
|
|
|
"2 210572 4536 DDCP PROMO Réseau livres False \n",
|
|
|
|
|
|
"3 210573 6736 DDCP PROMO Réseau livres False \n",
|
|
|
|
|
|
"4 210574 38210 DDCP PROMO Réseau livres False \n",
|
2024-02-04 16:02:01 +01:00
|
|
|
|
"\n",
|
2024-02-07 23:28:55 +01:00
|
|
|
|
" target_type_name \n",
|
|
|
|
|
|
"0 manual_static_filter \n",
|
|
|
|
|
|
"1 manual_static_filter \n",
|
|
|
|
|
|
"2 manual_static_filter \n",
|
|
|
|
|
|
"3 manual_static_filter \n",
|
|
|
|
|
|
"4 manual_static_filter "
|
2024-02-04 16:02:01 +01:00
|
|
|
|
]
|
|
|
|
|
|
},
|
2024-02-07 23:28:55 +01:00
|
|
|
|
"execution_count": 10,
|
2024-02-04 16:02:01 +01:00
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"output_type": "execute_result"
|
|
|
|
|
|
}
|
|
|
|
|
|
],
|
|
|
|
|
|
"source": [
|
2024-02-07 23:28:55 +01:00
|
|
|
|
"df1_targets_full.head()"
|
2024-02-04 16:02:01 +01:00
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
2024-02-07 23:28:55 +01:00
|
|
|
|
"cell_type": "code",
|
|
|
|
|
|
"execution_count": 14,
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"id": "75fbc2f7",
|
2024-02-07 23:28:55 +01:00
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"outputs": [
|
|
|
|
|
|
{
|
|
|
|
|
|
"name": "stderr",
|
|
|
|
|
|
"output_type": "stream",
|
|
|
|
|
|
"text": [
|
|
|
|
|
|
"[nltk_data] Downloading package punkt to /home/onyxia/nltk_data...\n",
|
|
|
|
|
|
"[nltk_data] Package punkt is already up-to-date!\n",
|
|
|
|
|
|
"[nltk_data] Downloading package stopwords to /home/onyxia/nltk_data...\n",
|
|
|
|
|
|
"[nltk_data] Package stopwords is already up-to-date!\n",
|
|
|
|
|
|
"[nltk_data] Downloading package wordnet to /home/onyxia/nltk_data...\n",
|
|
|
|
|
|
"[nltk_data] Package wordnet is already up-to-date!\n"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"data": {
|
|
|
|
|
|
"text/plain": [
|
|
|
|
|
|
"True"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
"execution_count": 14,
|
|
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"output_type": "execute_result"
|
|
|
|
|
|
}
|
|
|
|
|
|
],
|
2024-02-04 16:02:01 +01:00
|
|
|
|
"source": [
|
2024-02-07 23:28:55 +01:00
|
|
|
|
"# Catégorisation des target_name\n",
|
|
|
|
|
|
"import pandas as pd\n",
|
|
|
|
|
|
"import nltk\n",
|
|
|
|
|
|
"from nltk.tokenize import word_tokenize\n",
|
|
|
|
|
|
"from nltk.corpus import stopwords\n",
|
|
|
|
|
|
"from nltk.stem import WordNetLemmatizer\n",
|
|
|
|
|
|
"from nltk.probability import FreqDist\n",
|
|
|
|
|
|
"\n",
|
|
|
|
|
|
"# Téléchargement des ressources nécessaires\n",
|
|
|
|
|
|
"nltk.download('punkt')\n",
|
|
|
|
|
|
"nltk.download('stopwords')\n",
|
|
|
|
|
|
"nltk.download('wordnet')\n",
|
|
|
|
|
|
"\n"
|
2024-02-04 16:02:01 +01:00
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
2024-02-07 23:28:55 +01:00
|
|
|
|
"execution_count": 19,
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"id": "55cddf92",
|
2024-02-04 16:02:01 +01:00
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"outputs": [
|
|
|
|
|
|
{
|
2024-02-07 23:28:55 +01:00
|
|
|
|
"name": "stdout",
|
2024-02-04 16:02:01 +01:00
|
|
|
|
"output_type": "stream",
|
|
|
|
|
|
"text": [
|
2024-02-07 23:28:55 +01:00
|
|
|
|
"Mots les plus fréquents:\n",
|
|
|
|
|
|
"consentement: 550777\n",
|
|
|
|
|
|
"optin: 463579\n",
|
|
|
|
|
|
"jeune: 155103\n",
|
|
|
|
|
|
"public: 155103\n",
|
|
|
|
|
|
"mediation: 150001\n"
|
2024-02-04 16:02:01 +01:00
|
|
|
|
]
|
|
|
|
|
|
}
|
|
|
|
|
|
],
|
|
|
|
|
|
"source": [
|
2024-02-07 23:28:55 +01:00
|
|
|
|
"# Définition des fonctions de tokenisation, suppression des mots vides et lemmatisation\n",
|
|
|
|
|
|
"def preprocess_text(texte):\n",
|
|
|
|
|
|
" # Concaténation des éléments de la liste en une seule chaîne de caractères\n",
|
|
|
|
|
|
" texte_concat = ' '.join(texte)\n",
|
|
|
|
|
|
" \n",
|
|
|
|
|
|
" # Tokenisation des mots\n",
|
|
|
|
|
|
" tokens = word_tokenize(texte_concat.lower())\n",
|
|
|
|
|
|
" \n",
|
|
|
|
|
|
" # Suppression des mots vides (stopwords)\n",
|
|
|
|
|
|
" stop_words = set(stopwords.words('french'))\n",
|
|
|
|
|
|
" filtered_tokens = [word for word in tokens if word not in stop_words]\n",
|
|
|
|
|
|
" \n",
|
|
|
|
|
|
" # Lemmatisation des mots\n",
|
|
|
|
|
|
" lemmatizer = WordNetLemmatizer()\n",
|
|
|
|
|
|
" lemmatized_tokens = [lemmatizer.lemmatize(word) for word in filtered_tokens]\n",
|
|
|
|
|
|
" \n",
|
|
|
|
|
|
" return lemmatized_tokens\n",
|
2024-02-04 16:02:01 +01:00
|
|
|
|
"\n",
|
|
|
|
|
|
"\n",
|
2024-02-07 23:28:55 +01:00
|
|
|
|
"# Appliquer le prétraitement à la colonne de texte\n",
|
|
|
|
|
|
"df1_targets_full['target_name_tokened'] = df1_targets_full['target_name'].apply(preprocess_text)\n",
|
|
|
|
|
|
"\n",
|
|
|
|
|
|
"# Concaténer les listes de mots pour obtenir une liste de tous les mots dans le corpus\n",
|
|
|
|
|
|
"all_words = [word for tokens in df1_targets_full['target_name_tokened'] for word in tokens]\n",
|
|
|
|
|
|
"\n",
|
|
|
|
|
|
"# Calculer la fréquence des mots\n",
|
|
|
|
|
|
"freq_dist = FreqDist(all_words)\n",
|
|
|
|
|
|
"\n",
|
|
|
|
|
|
"\n"
|
2024-02-04 16:02:01 +01:00
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
2024-02-07 23:28:55 +01:00
|
|
|
|
"execution_count": 22,
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"id": "7fd98a85",
|
2024-02-04 16:02:01 +01:00
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"outputs": [
|
|
|
|
|
|
{
|
|
|
|
|
|
"name": "stdout",
|
|
|
|
|
|
"output_type": "stream",
|
|
|
|
|
|
"text": [
|
2024-02-07 23:28:55 +01:00
|
|
|
|
"Mots les plus fréquents:\n",
|
|
|
|
|
|
"consentement: 550777\n",
|
|
|
|
|
|
"optin: 463579\n",
|
|
|
|
|
|
"jeune: 155103\n",
|
|
|
|
|
|
"public: 155103\n",
|
|
|
|
|
|
"mediation: 150001\n",
|
|
|
|
|
|
"specialisee: 150001\n",
|
|
|
|
|
|
"b2c: 143432\n",
|
|
|
|
|
|
"optout: 97683\n",
|
|
|
|
|
|
"newsletter: 56022\n",
|
|
|
|
|
|
"(: 46084\n",
|
|
|
|
|
|
"): 46084\n",
|
|
|
|
|
|
"inscrits: 42296\n",
|
|
|
|
|
|
"nl: 42294\n",
|
|
|
|
|
|
"générale: 41037\n",
|
|
|
|
|
|
"generale: 40950\n"
|
2024-02-04 16:02:01 +01:00
|
|
|
|
]
|
|
|
|
|
|
}
|
|
|
|
|
|
],
|
|
|
|
|
|
"source": [
|
2024-02-07 23:28:55 +01:00
|
|
|
|
"# Affichage des mots les plus fréquents\n",
|
|
|
|
|
|
"print(\"Mots les plus fréquents:\")\n",
|
|
|
|
|
|
"for mot, freq in freq_dist.most_common(15):\n",
|
|
|
|
|
|
" print(f\"{mot}: {freq}\")"
|
2024-02-04 16:02:01 +01:00
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
2024-02-07 23:28:55 +01:00
|
|
|
|
"execution_count": 18,
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"id": "cf94bb1d",
|
2024-02-04 16:02:01 +01:00
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"outputs": [
|
|
|
|
|
|
{
|
2024-02-07 23:28:55 +01:00
|
|
|
|
"name": "stdout",
|
|
|
|
|
|
"output_type": "stream",
|
|
|
|
|
|
"text": [
|
|
|
|
|
|
" texte \\\n",
|
|
|
|
|
|
"0 Le chat noir mange une souris. \n",
|
|
|
|
|
|
"1 Le chien blanc aboie. \n",
|
|
|
|
|
|
"\n",
|
|
|
|
|
|
" texte_preprocessed \n",
|
|
|
|
|
|
"0 [e, h, a, o, i, r, a, g, e, u, e, o, u, r, i, .] \n",
|
|
|
|
|
|
"1 [e, h, i, e, b, a, a, b, o, i, e, .] \n"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"name": "stderr",
|
|
|
|
|
|
"output_type": "stream",
|
|
|
|
|
|
"text": [
|
|
|
|
|
|
"[nltk_data] Downloading package punkt to /home/onyxia/nltk_data...\n",
|
|
|
|
|
|
"[nltk_data] Package punkt is already up-to-date!\n",
|
|
|
|
|
|
"[nltk_data] Downloading package stopwords to /home/onyxia/nltk_data...\n",
|
|
|
|
|
|
"[nltk_data] Package stopwords is already up-to-date!\n",
|
|
|
|
|
|
"[nltk_data] Downloading package wordnet to /home/onyxia/nltk_data...\n",
|
|
|
|
|
|
"[nltk_data] Package wordnet is already up-to-date!\n"
|
|
|
|
|
|
]
|
2024-02-04 16:02:01 +01:00
|
|
|
|
}
|
|
|
|
|
|
],
|
2024-02-07 23:28:55 +01:00
|
|
|
|
"source": [
|
|
|
|
|
|
"import pandas as pd\n",
|
|
|
|
|
|
"import nltk\n",
|
|
|
|
|
|
"from nltk.tokenize import word_tokenize\n",
|
|
|
|
|
|
"from nltk.corpus import stopwords\n",
|
|
|
|
|
|
"from nltk.stem import WordNetLemmatizer\n",
|
|
|
|
|
|
"\n",
|
|
|
|
|
|
"# Téléchargement des ressources nécessaires\n",
|
|
|
|
|
|
"nltk.download('punkt')\n",
|
|
|
|
|
|
"nltk.download('stopwords')\n",
|
|
|
|
|
|
"nltk.download('wordnet')\n",
|
|
|
|
|
|
"\n",
|
|
|
|
|
|
"# Création de la DataFrame d'exemple\n",
|
|
|
|
|
|
"data = {'texte': [\"Le chat noir mange une souris.\", \"Le chien blanc aboie.\"]}\n",
|
|
|
|
|
|
"df = pd.DataFrame(data)\n",
|
|
|
|
|
|
"\n",
|
|
|
|
|
|
"# Fonction pour prétraiter le texte\n",
|
|
|
|
|
|
"def preprocess_text(texte):\n",
|
|
|
|
|
|
" # Concaténation des éléments de la liste en une seule chaîne de caractères\n",
|
|
|
|
|
|
" texte_concat = ' '.join(texte)\n",
|
|
|
|
|
|
" \n",
|
|
|
|
|
|
" # Tokenisation des mots\n",
|
|
|
|
|
|
" tokens = word_tokenize(texte_concat.lower())\n",
|
|
|
|
|
|
" \n",
|
|
|
|
|
|
" # Suppression des mots vides (stopwords)\n",
|
|
|
|
|
|
" stop_words = set(stopwords.words('french'))\n",
|
|
|
|
|
|
" filtered_tokens = [word for word in tokens if word not in stop_words]\n",
|
|
|
|
|
|
" \n",
|
|
|
|
|
|
" # Lemmatisation des mots\n",
|
|
|
|
|
|
" lemmatizer = WordNetLemmatizer()\n",
|
|
|
|
|
|
" lemmatized_tokens = [lemmatizer.lemmatize(word) for word in filtered_tokens]\n",
|
|
|
|
|
|
" \n",
|
|
|
|
|
|
" return lemmatized_tokens\n",
|
|
|
|
|
|
"\n",
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"# Appliquer la fonction de prétraitement à la colonne de texte\n",
|
|
|
|
|
|
"df['texte_preprocessed'] = df['texte'].apply(preprocess_text)\n",
|
|
|
|
|
|
"\n",
|
|
|
|
|
|
"# Afficher le résultat\n",
|
|
|
|
|
|
"print(df)\n"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "markdown",
|
|
|
|
|
|
"id": "711d3884",
|
|
|
|
|
|
"metadata": {
|
|
|
|
|
|
"jp-MarkdownHeadingCollapsed": true
|
|
|
|
|
|
},
|
|
|
|
|
|
"source": [
|
|
|
|
|
|
"## Campaign area"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
|
"execution_count": 52,
|
|
|
|
|
|
"id": "c25b5295",
|
|
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"outputs": [],
|
|
|
|
|
|
"source": [
|
|
|
|
|
|
"# campaign_stats cleaning \n",
|
|
|
|
|
|
"df1_campaign_stats_clean = df1_campaign_stats[[\"id\", \"campaign_id\", \"customer_id\", \"opened_at\", \"sent_at\", \"delivered_at\"]]\n",
|
|
|
|
|
|
"cleaning_date(df1_campaign_stats_clean, 'opened_at')\n",
|
|
|
|
|
|
"cleaning_date(df1_campaign_stats_clean, 'sent_at')\n",
|
|
|
|
|
|
"cleaning_date(df1_campaign_stats_clean, 'delivered_at')\n",
|
|
|
|
|
|
"\n",
|
|
|
|
|
|
"# campaigns cleaning\n",
|
|
|
|
|
|
"df1_campaigns_clean = df1_campaigns[[\"id\", \"name\", \"service_id\", \"sent_at\"]].add_prefix(\"campaign_\")\n",
|
|
|
|
|
|
"cleaning_date(df1_campaigns_clean, 'campaign_sent_at')\n",
|
|
|
|
|
|
"\n",
|
|
|
|
|
|
"# Merge \n",
|
|
|
|
|
|
"df1_campaigns_full = pd.merge(df1_campaign_stats_clean, df1_campaigns_clean, on = \"campaign_id\", how = \"left\")\n",
|
|
|
|
|
|
"df1_campaigns_full.drop(['campaign_id'], axis = 1, inplace=True)"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
|
"execution_count": 53,
|
|
|
|
|
|
"id": "2a3de6a5",
|
|
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"outputs": [],
|
|
|
|
|
|
"source": [
|
|
|
|
|
|
"df1_campaigns_full.info()"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
|
"execution_count": 56,
|
|
|
|
|
|
"id": "3fc1f446",
|
|
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"outputs": [],
|
2024-02-04 16:02:01 +01:00
|
|
|
|
"source": [
|
|
|
|
|
|
"df1_campaigns_information"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "markdown",
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"id": "20e69ee3",
|
2024-02-04 16:02:01 +01:00
|
|
|
|
"metadata": {
|
|
|
|
|
|
"jp-MarkdownHeadingCollapsed": true
|
|
|
|
|
|
},
|
|
|
|
|
|
"source": [
|
|
|
|
|
|
"## Link area"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
|
"execution_count": 37,
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"id": "d9cbdbce",
|
2024-02-04 16:02:01 +01:00
|
|
|
|
"metadata": {},
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"outputs": [],
|
2024-02-04 16:02:01 +01:00
|
|
|
|
"source": [
|
|
|
|
|
|
"df1_campaigns"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
|
"execution_count": 38,
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"id": "c07459f0",
|
2024-02-04 16:02:01 +01:00
|
|
|
|
"metadata": {},
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"outputs": [],
|
2024-02-04 16:02:01 +01:00
|
|
|
|
"source": [
|
|
|
|
|
|
"df1_link_stats"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "markdown",
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"id": "80ae4c42",
|
2024-02-10 13:23:44 +01:00
|
|
|
|
"metadata": {},
|
2024-02-04 16:02:01 +01:00
|
|
|
|
"source": [
|
|
|
|
|
|
"## Exploration variables"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
2024-02-10 13:23:44 +01:00
|
|
|
|
"execution_count": 7,
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"id": "b50b8f95",
|
2024-02-04 16:02:01 +01:00
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"outputs": [],
|
|
|
|
|
|
"source": [
|
|
|
|
|
|
"# Fonction d'exploration pour suppliers.csv = label itr et commission inconnues\n",
|
|
|
|
|
|
"def suppliers_exploration(suppliers = None) : \n",
|
|
|
|
|
|
" \n",
|
|
|
|
|
|
" # Taux de NaN pour ces colonnes\n",
|
|
|
|
|
|
" label_na = suppliers['label'].isna().sum()/len(suppliers)*100\n",
|
|
|
|
|
|
" itr_na = suppliers['itr'].isna().sum()/len(suppliers)*100\n",
|
|
|
|
|
|
" commission_na = suppliers['commission'].isna().sum()/len(suppliers)*100\n",
|
|
|
|
|
|
"\n",
|
|
|
|
|
|
" suppliers_desc = pd.DataFrame({'nb_suppliers' : [suppliers['name'].nunique()],\n",
|
|
|
|
|
|
" 'label_na' : [label_na],\n",
|
|
|
|
|
|
" 'itr_na' : [itr_na],\n",
|
|
|
|
|
|
" 'commission_na' : [commission_na]})\n",
|
|
|
|
|
|
"\n",
|
|
|
|
|
|
" return suppliers_desc"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
2024-02-10 13:23:44 +01:00
|
|
|
|
"execution_count": 8,
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"id": "7e292935",
|
2024-02-04 16:02:01 +01:00
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"outputs": [],
|
|
|
|
|
|
"source": [
|
|
|
|
|
|
"df1_suppliers_desc = suppliers_exploration(suppliers = df1_suppliers)"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
2024-02-10 13:23:44 +01:00
|
|
|
|
"execution_count": 9,
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"id": "05b6f2b0",
|
2024-02-04 16:02:01 +01:00
|
|
|
|
"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",
|
2024-01-14 17:38:16 +01:00
|
|
|
|
" 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>nb_suppliers</th>\n",
|
|
|
|
|
|
" <th>label_na</th>\n",
|
|
|
|
|
|
" <th>itr_na</th>\n",
|
|
|
|
|
|
" <th>commission_na</th>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" </thead>\n",
|
|
|
|
|
|
" <tbody>\n",
|
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
|
" <th>0</th>\n",
|
|
|
|
|
|
" <td>9</td>\n",
|
|
|
|
|
|
" <td>100.0</td>\n",
|
|
|
|
|
|
" <td>100.0</td>\n",
|
|
|
|
|
|
" <td>100.0</td>\n",
|
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
|
" </tbody>\n",
|
|
|
|
|
|
"</table>\n",
|
|
|
|
|
|
"</div>"
|
|
|
|
|
|
],
|
|
|
|
|
|
"text/plain": [
|
|
|
|
|
|
" nb_suppliers label_na itr_na commission_na\n",
|
|
|
|
|
|
"0 9 100.0 100.0 100.0"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
2024-02-10 13:23:44 +01:00
|
|
|
|
"execution_count": 9,
|
2024-01-14 17:38:16 +01:00
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"output_type": "execute_result"
|
|
|
|
|
|
}
|
|
|
|
|
|
],
|
|
|
|
|
|
"source": [
|
|
|
|
|
|
"df1_suppliers_desc"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
2024-02-10 13:23:44 +01:00
|
|
|
|
"execution_count": 10,
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"id": "c9324d80",
|
2024-01-14 17:38:16 +01:00
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"outputs": [],
|
|
|
|
|
|
"source": [
|
|
|
|
|
|
"BUCKET = \"bdc2324-data\"\n",
|
|
|
|
|
|
"liste_folders = fs.ls(BUCKET)\n",
|
|
|
|
|
|
"\n",
|
|
|
|
|
|
"liste_files = []\n",
|
|
|
|
|
|
"for company_folder in liste_folders : \n",
|
|
|
|
|
|
" liste_files.extend(fs.ls(company_folder))"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
2024-02-10 13:23:44 +01:00
|
|
|
|
"execution_count": 11,
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"id": "10304058",
|
2024-01-14 17:38:16 +01:00
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"outputs": [
|
|
|
|
|
|
{
|
|
|
|
|
|
"name": "stdout",
|
|
|
|
|
|
"output_type": "stream",
|
|
|
|
|
|
"text": [
|
|
|
|
|
|
"['bdc2324-data/1/1suppliers.csv', 'bdc2324-data/10/10suppliers.csv', 'bdc2324-data/101/101suppliers.csv', 'bdc2324-data/11/11suppliers.csv', 'bdc2324-data/12/12suppliers.csv', 'bdc2324-data/13/13suppliers.csv', 'bdc2324-data/14/14suppliers.csv', 'bdc2324-data/2/2suppliers.csv', 'bdc2324-data/3/3suppliers.csv', 'bdc2324-data/4/4suppliers.csv', 'bdc2324-data/5/5suppliers.csv', 'bdc2324-data/6/6suppliers.csv', 'bdc2324-data/7/7suppliers.csv', 'bdc2324-data/8/8suppliers.csv', 'bdc2324-data/9/9suppliers.csv']\n"
|
|
|
|
|
|
]
|
|
|
|
|
|
}
|
|
|
|
|
|
],
|
|
|
|
|
|
"source": [
|
|
|
|
|
|
"liste_database_select = ['suppliers']\n",
|
|
|
|
|
|
"\n",
|
|
|
|
|
|
"# Filtrer la liste pour les éléments contenant au moins un élément de la liste à tester\n",
|
|
|
|
|
|
"liste_suppliers = [element for element in liste_files if any(element_part in element for element_part in liste_database_select)]\n",
|
|
|
|
|
|
"\n",
|
|
|
|
|
|
"# Afficher le résultat\n",
|
|
|
|
|
|
"print(liste_suppliers)"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
2024-01-13 14:47:24 +01:00
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
2024-02-10 13:23:44 +01:00
|
|
|
|
"execution_count": 32,
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"id": "ffa423e5",
|
2024-01-13 14:47:24 +01:00
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"outputs": [],
|
2024-01-14 17:38:16 +01:00
|
|
|
|
"source": [
|
|
|
|
|
|
"# loop to create dataframes from file 2\n",
|
|
|
|
|
|
"def database_loading(database_name = None):\n",
|
|
|
|
|
|
" files_path = database_name\n",
|
|
|
|
|
|
" \n",
|
2024-02-10 13:23:44 +01:00
|
|
|
|
" client_number = files_path.split(\"/\")[1]\n",
|
2024-01-14 17:38:16 +01:00
|
|
|
|
" df_prefix = \"df\" + str(client_number) + \"_\"\n",
|
|
|
|
|
|
" \n",
|
2024-02-10 13:23:44 +01:00
|
|
|
|
" current_path = files_path\n",
|
|
|
|
|
|
" with fs.open(current_path, mode=\"rb\") as file_in:\n",
|
|
|
|
|
|
" df = pd.read_csv(file_in)\n",
|
|
|
|
|
|
"\n",
|
|
|
|
|
|
" return df, client_number"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
|
"execution_count": null,
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"id": "70bdc88d",
|
2024-02-10 13:23:44 +01:00
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"outputs": [],
|
|
|
|
|
|
"source": []
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
|
"execution_count": 45,
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"id": "6a0f567d",
|
2024-02-10 13:23:44 +01:00
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"outputs": [],
|
|
|
|
|
|
"source": [
|
|
|
|
|
|
"df_all = pd.DataFrame()\n",
|
|
|
|
|
|
"\n",
|
|
|
|
|
|
"for link in liste_suppliers:\n",
|
|
|
|
|
|
" \n",
|
|
|
|
|
|
" df_supplier, tenant_id = database_loading(link)\n",
|
|
|
|
|
|
" \n",
|
|
|
|
|
|
" df_supplier['tenant_id'] = int(tenant_id)\n",
|
2024-01-14 17:38:16 +01:00
|
|
|
|
"\n",
|
2024-02-10 13:23:44 +01:00
|
|
|
|
" df_all = pd.concat([df_all, df_supplier], axis = 0)\n",
|
2024-01-14 17:38:16 +01:00
|
|
|
|
" "
|
|
|
|
|
|
]
|
2024-02-10 13:23:44 +01:00
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
|
"execution_count": 63,
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"id": "1522d8cd",
|
2024-02-10 13:23:44 +01:00
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"outputs": [],
|
|
|
|
|
|
"source": [
|
|
|
|
|
|
"# df_all[df_all['tenant_id'] == 101]['name'].unique()"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
|
"execution_count": 66,
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"id": "b0e42a61",
|
2024-02-10 13:23:44 +01:00
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"outputs": [],
|
|
|
|
|
|
"source": [
|
|
|
|
|
|
"liste_mots = ['en ligne', 'internet', 'web', 'net', 'vad', 'online'] \n",
|
|
|
|
|
|
"# vad = vente à distance\n",
|
|
|
|
|
|
"df_all['name'] = df_all['name'].fillna('')\n",
|
|
|
|
|
|
"\n",
|
|
|
|
|
|
"df_all['canal_vente_internet'] = df_all['name'].str.contains('|'.join(liste_mots), case=False).astype(int)\n"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
|
"execution_count": 68,
|
2024-02-10 22:46:56 +01:00
|
|
|
|
"id": "d299ae91",
|
2024-02-10 13:23:44 +01:00
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"outputs": [
|
|
|
|
|
|
{
|
|
|
|
|
|
"data": {
|
|
|
|
|
|
"text/plain": [
|
|
|
|
|
|
"tenant_id\n",
|
|
|
|
|
|
"1 1\n",
|
|
|
|
|
|
"2 1\n",
|
|
|
|
|
|
"3 1\n",
|
|
|
|
|
|
"4 1\n",
|
|
|
|
|
|
"5 1\n",
|
|
|
|
|
|
"6 1\n",
|
|
|
|
|
|
"7 1\n",
|
|
|
|
|
|
"8 1\n",
|
|
|
|
|
|
"9 1\n",
|
|
|
|
|
|
"10 1\n",
|
|
|
|
|
|
"11 1\n",
|
|
|
|
|
|
"12 1\n",
|
|
|
|
|
|
"13 1\n",
|
|
|
|
|
|
"14 1\n",
|
|
|
|
|
|
"101 1\n",
|
|
|
|
|
|
"Name: canal_vente_internet, dtype: int64"
|
|
|
|
|
|
]
|
|
|
|
|
|
},
|
|
|
|
|
|
"execution_count": 68,
|
|
|
|
|
|
"metadata": {},
|
|
|
|
|
|
"output_type": "execute_result"
|
|
|
|
|
|
}
|
|
|
|
|
|
],
|
|
|
|
|
|
"source": [
|
|
|
|
|
|
"df_all.groupby('tenant_id')['canal_vente_internet'].max()"
|
|
|
|
|
|
]
|
2024-01-10 19:19:51 +01:00
|
|
|
|
}
|
|
|
|
|
|
],
|
|
|
|
|
|
"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",
|
2024-02-19 23:11:28 +01:00
|
|
|
|
"version": "3.11.6"
|
2024-01-10 19:19:51 +01:00
|
|
|
|
}
|
|
|
|
|
|
},
|
|
|
|
|
|
"nbformat": 4,
|
|
|
|
|
|
"nbformat_minor": 5
|
|
|
|
|
|
}
|
