BDC-team-1/1_Descriptive_Statistics.ipynb

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{
"cells": [
{
"cell_type": "markdown",
"id": "3f41343f-7205-41d9-89dd-88039e301413",
"metadata": {},
"source": [
"# Statistiques descriptives"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "abfaf341-7b35-4407-9133-d21336c04027",
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"import numpy as np\n",
"import os\n",
"import s3fs\n",
"import re\n",
"import matplotlib.pyplot as plt\n",
"import matplotlib.dates as mdates\n",
"from datetime import datetime, date, timedelta\n",
"from dateutil.relativedelta import relativedelta"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "7fb72fa3-7940-496f-ac78-c2837f65eefa",
"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})"
]
},
{
"cell_type": "markdown",
"id": "45d5261f-4d46-49cb-8582-dd2121122b05",
"metadata": {},
"source": [
"# 1 - Comportement d'achat"
]
},
{
"cell_type": "markdown",
"id": "3479960c-0d23-45f1-8fff-d87395205731",
"metadata": {},
"source": [
"## Outlier"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "9376af51-4320-44b6-8f30-1e1234371556",
"metadata": {},
"outputs": [],
"source": [
"# Chargement des données temporaires\n",
"BUCKET = \"projet-bdc2324-team1\"\n",
"FILE_KEY_S3 = \"0_Temp/Company 1 - Purchasing behaviour.csv\"\n",
"FILE_PATH_S3 = BUCKET + \"/\" + FILE_KEY_S3\n",
"\n",
"with fs.open(FILE_PATH_S3, mode=\"rb\") as file_in:\n",
" tickets_kpi = pd.read_csv(file_in, sep=\",\")"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "1855dcca-cfce-4c54-90ae-55d9a1ab5d45",
"metadata": {},
"outputs": [
{
"data": {
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"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>customer_id</th>\n",
" <th>event_type_id</th>\n",
" <th>nb_tickets</th>\n",
" <th>nb_purchases</th>\n",
" <th>total_amount</th>\n",
" <th>nb_suppliers</th>\n",
" <th>vente_internet_max</th>\n",
" <th>purchase_date_min</th>\n",
" <th>purchase_date_max</th>\n",
" <th>time_between_purchase</th>\n",
" <th>nb_tickets_internet</th>\n",
" <th>name_event_types</th>\n",
" <th>avg_amount</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>1</td>\n",
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" <td>384226</td>\n",
" <td>194790</td>\n",
" <td>2686540.5</td>\n",
" <td>7</td>\n",
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" <td>3262.190868</td>\n",
" <td>4.179306</td>\n",
" <td>3258.011562</td>\n",
" <td>51.0</td>\n",
" <td>offre muséale individuel</td>\n",
" <td>6.150659</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>1</td>\n",
" <td>4</td>\n",
" <td>453242</td>\n",
" <td>228945</td>\n",
" <td>3248965.5</td>\n",
" <td>6</td>\n",
" <td>1</td>\n",
" <td>3698.198229</td>\n",
" <td>5.221840</td>\n",
" <td>3692.976389</td>\n",
" <td>2988.0</td>\n",
" <td>spectacle vivant</td>\n",
" <td>7.762474</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>1</td>\n",
" <td>5</td>\n",
" <td>201750</td>\n",
" <td>107110</td>\n",
" <td>1459190.0</td>\n",
" <td>6</td>\n",
" <td>1</td>\n",
" <td>3803.369792</td>\n",
" <td>0.146331</td>\n",
" <td>3803.223461</td>\n",
" <td>9.0</td>\n",
" <td>offre muséale groupe</td>\n",
" <td>4.452618</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>1</td>\n",
" <td>6</td>\n",
" <td>217356</td>\n",
" <td>111786</td>\n",
" <td>1435871.5</td>\n",
" <td>5</td>\n",
" <td>1</td>\n",
" <td>2502.715509</td>\n",
" <td>1408.715532</td>\n",
" <td>1093.999977</td>\n",
" <td>5.0</td>\n",
" <td>formule adhésion</td>\n",
" <td>6.439463</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>143</td>\n",
" <td>143</td>\n",
" <td>0.0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>2041.274549</td>\n",
" <td>1340.308160</td>\n",
" <td>700.966389</td>\n",
" <td>0.0</td>\n",
" <td>offre muséale individuel</td>\n",
" <td>6.150659</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" customer_id event_type_id nb_tickets nb_purchases total_amount \\\n",
"0 1 2 384226 194790 2686540.5 \n",
"1 1 4 453242 228945 3248965.5 \n",
"2 1 5 201750 107110 1459190.0 \n",
"3 1 6 217356 111786 1435871.5 \n",
"4 2 2 143 143 0.0 \n",
"\n",
" nb_suppliers vente_internet_max purchase_date_min purchase_date_max \\\n",
"0 7 1 3262.190868 4.179306 \n",
"1 6 1 3698.198229 5.221840 \n",
"2 6 1 3803.369792 0.146331 \n",
"3 5 1 2502.715509 1408.715532 \n",
"4 1 0 2041.274549 1340.308160 \n",
"\n",
" time_between_purchase nb_tickets_internet name_event_types \\\n",
"0 3258.011562 51.0 offre muséale individuel \n",
"1 3692.976389 2988.0 spectacle vivant \n",
"2 3803.223461 9.0 offre muséale groupe \n",
"3 1093.999977 5.0 formule adhésion \n",
"4 700.966389 0.0 offre muséale individuel \n",
"\n",
" avg_amount \n",
"0 6.150659 \n",
"1 7.762474 \n",
"2 4.452618 \n",
"3 6.439463 \n",
"4 6.150659 "
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tickets_kpi.head()"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "0e5d3b2e-1a75-4d46-80e6-c306e9f8de84",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Index(['customer_id', 'event_type_id', 'nb_tickets', 'nb_purchases',\n",
" 'total_amount', 'nb_suppliers', 'vente_internet_max',\n",
" 'purchase_date_min', 'purchase_date_max', 'time_between_purchase',\n",
" 'nb_tickets_internet', 'name_event_types', 'avg_amount'],\n",
" dtype='object')"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tickets_kpi.columns"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "7667e8eb-9a1e-4216-96f4-bf987c6e30b5",
"metadata": {},
"outputs": [
{
"data": {
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" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>customer_id</th>\n",
" <th>event_type_id</th>\n",
" <th>nb_tickets</th>\n",
" <th>nb_purchases</th>\n",
" <th>total_amount</th>\n",
" <th>nb_suppliers</th>\n",
" <th>vente_internet_max</th>\n",
" <th>purchase_date_min</th>\n",
" <th>purchase_date_max</th>\n",
" <th>time_between_purchase</th>\n",
" <th>nb_tickets_internet</th>\n",
" <th>name_event_types</th>\n",
" <th>avg_amount</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>1</td>\n",
" <td>4</td>\n",
" <td>453242</td>\n",
" <td>228945</td>\n",
" <td>3248965.5</td>\n",
" <td>6</td>\n",
" <td>1</td>\n",
" <td>3698.198229</td>\n",
" <td>5.221840</td>\n",
" <td>3692.976389</td>\n",
" <td>2988.0</td>\n",
" <td>spectacle vivant</td>\n",
" <td>7.762474</td>\n",
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" <tr>\n",
" <th>0</th>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>384226</td>\n",
" <td>194790</td>\n",
" <td>2686540.5</td>\n",
" <td>7</td>\n",
" <td>1</td>\n",
" <td>3262.190868</td>\n",
" <td>4.179306</td>\n",
" <td>3258.011562</td>\n",
" <td>51.0</td>\n",
" <td>offre muséale individuel</td>\n",
" <td>6.150659</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>1</td>\n",
" <td>6</td>\n",
" <td>217356</td>\n",
" <td>111786</td>\n",
" <td>1435871.5</td>\n",
" <td>5</td>\n",
" <td>1</td>\n",
" <td>2502.715509</td>\n",
" <td>1408.715532</td>\n",
" <td>1093.999977</td>\n",
" <td>5.0</td>\n",
" <td>formule adhésion</td>\n",
" <td>6.439463</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>1</td>\n",
" <td>5</td>\n",
" <td>201750</td>\n",
" <td>107110</td>\n",
" <td>1459190.0</td>\n",
" <td>6</td>\n",
" <td>1</td>\n",
" <td>3803.369792</td>\n",
" <td>0.146331</td>\n",
" <td>3803.223461</td>\n",
" <td>9.0</td>\n",
" <td>offre muséale groupe</td>\n",
" <td>4.452618</td>\n",
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" <tr>\n",
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" <td>2492.187199</td>\n",
" <td>1442.405116</td>\n",
" <td>1049.782083</td>\n",
" <td>13497.0</td>\n",
" <td>formule adhésion</td>\n",
" <td>6.439463</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5029</th>\n",
" <td>6733</td>\n",
" <td>2</td>\n",
" <td>11656</td>\n",
" <td>158</td>\n",
" <td>471.0</td>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" <td>2982.237384</td>\n",
" <td>489.495324</td>\n",
" <td>2492.742060</td>\n",
" <td>9815.0</td>\n",
" <td>offre muséale individuel</td>\n",
" <td>6.150659</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5030</th>\n",
" <td>6733</td>\n",
" <td>4</td>\n",
" <td>7440</td>\n",
" <td>162</td>\n",
" <td>0.0</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>1036.392674</td>\n",
" <td>426.201944</td>\n",
" <td>610.190729</td>\n",
" <td>7419.0</td>\n",
" <td>spectacle vivant</td>\n",
" <td>7.762474</td>\n",
" </tr>\n",
" <tr>\n",
" <th>60</th>\n",
" <td>41</td>\n",
" <td>6</td>\n",
" <td>6583</td>\n",
" <td>634</td>\n",
" <td>12546.5</td>\n",
" <td>4</td>\n",
" <td>1</td>\n",
" <td>2501.337905</td>\n",
" <td>1409.370521</td>\n",
" <td>1091.967384</td>\n",
" <td>6391.0</td>\n",
" <td>formule adhésion</td>\n",
" <td>6.439463</td>\n",
" </tr>\n",
" <tr>\n",
" <th>57</th>\n",
" <td>41</td>\n",
" <td>2</td>\n",
" <td>6514</td>\n",
" <td>812</td>\n",
" <td>22423.0</td>\n",
" <td>6</td>\n",
" <td>1</td>\n",
" <td>3576.106609</td>\n",
" <td>247.232697</td>\n",
" <td>3328.873912</td>\n",
" <td>5321.0</td>\n",
" <td>offre muséale individuel</td>\n",
" <td>6.150659</td>\n",
" </tr>\n",
" <tr>\n",
" <th>36376</th>\n",
" <td>63488</td>\n",
" <td>4</td>\n",
" <td>5750</td>\n",
" <td>9</td>\n",
" <td>63250.0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>887.298484</td>\n",
" <td>440.265162</td>\n",
" <td>447.033322</td>\n",
" <td>5750.0</td>\n",
" <td>spectacle vivant</td>\n",
" <td>7.762474</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" customer_id event_type_id nb_tickets nb_purchases total_amount \\\n",
"1 1 4 453242 228945 3248965.5 \n",
"0 1 2 384226 194790 2686540.5 \n",
"3 1 6 217356 111786 1435871.5 \n",
"2 1 5 201750 107110 1459190.0 \n",
"5032 6733 6 14208 114 0.0 \n",
"5029 6733 2 11656 158 471.0 \n",
"5030 6733 4 7440 162 0.0 \n",
"60 41 6 6583 634 12546.5 \n",
"57 41 2 6514 812 22423.0 \n",
"36376 63488 4 5750 9 63250.0 \n",
"\n",
" nb_suppliers vente_internet_max purchase_date_min purchase_date_max \\\n",
"1 6 1 3698.198229 5.221840 \n",
"0 7 1 3262.190868 4.179306 \n",
"3 5 1 2502.715509 1408.715532 \n",
"2 6 1 3803.369792 0.146331 \n",
"5032 3 1 2492.187199 1442.405116 \n",
"5029 3 1 2982.237384 489.495324 \n",
"5030 2 1 1036.392674 426.201944 \n",
"60 4 1 2501.337905 1409.370521 \n",
"57 6 1 3576.106609 247.232697 \n",
"36376 1 1 887.298484 440.265162 \n",
"\n",
" time_between_purchase nb_tickets_internet name_event_types \\\n",
"1 3692.976389 2988.0 spectacle vivant \n",
"0 3258.011562 51.0 offre muséale individuel \n",
"3 1093.999977 5.0 formule adhésion \n",
"2 3803.223461 9.0 offre muséale groupe \n",
"5032 1049.782083 13497.0 formule adhésion \n",
"5029 2492.742060 9815.0 offre muséale individuel \n",
"5030 610.190729 7419.0 spectacle vivant \n",
"60 1091.967384 6391.0 formule adhésion \n",
"57 3328.873912 5321.0 offre muséale individuel \n",
"36376 447.033322 5750.0 spectacle vivant \n",
"\n",
" avg_amount \n",
"1 7.762474 \n",
"0 6.150659 \n",
"3 6.439463 \n",
"2 4.452618 \n",
"5032 6.439463 \n",
"5029 6.150659 \n",
"5030 7.762474 \n",
"60 6.439463 \n",
"57 6.150659 \n",
"36376 7.762474 "
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Présence d'outlier\n",
"tickets_kpi.sort_values(by = ['nb_tickets'], axis = 0, ascending = False).head(10)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "9b2e27f2-703d-465b-a0f9-76e996de617c",
"metadata": {},
"outputs": [],
"source": [
"# Part du CA par customer\n",
"total_amount_share = tickets_kpi.groupby('customer_id')['total_amount'].sum().reset_index()\n",
"total_amount_share['total_amount_entreprise'] = total_amount_share['total_amount'].sum()\n",
"total_amount_share['share_total_amount'] = total_amount_share['total_amount']/total_amount_share['total_amount_entreprise']\n",
"\n",
"total_amount_share_index = total_amount_share.set_index('customer_id')\n",
"df_circulaire = total_amount_share_index['total_amount'].sort_values(axis = 0, ascending = False)\n"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "36141803-8865-4210-bd39-0a980301fd0c",
"metadata": {},
"outputs": [
{
"data": {
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",
"text/plain": [
"<Figure size 300x300 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Costumer 1 vs others customers\n",
"coupure = 1\n",
"\n",
"top = df_circulaire[:coupure]\n",
"rest = df_circulaire[coupure:]\n",
"\n",
"# Calculez la somme du reste\n",
"rest_sum = rest.sum()\n",
"\n",
"# Créez une nouvelle série avec les cinq plus grandes parts et 'Autre'\n",
"new_series = pd.concat([top, pd.Series([rest_sum], index=['Autre'])])\n",
"\n",
"# Créez le graphique circulaire\n",
"plt.figure(figsize=(3, 3))\n",
"plt.pie(new_series, labels=new_series.index, autopct='%1.1f%%', startangle=140, pctdistance=0.5)\n",
"plt.axis('equal') # Assurez-vous que le graphique est un cercle\n",
"plt.title('Répartition des montants totaux')\n",
"plt.show()\n"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "94cf1a25-9ded-48f2-b1b2-75225bdaf49d",
"metadata": {},
"outputs": [],
"source": [
"tickets_kpi_filtered = tickets_kpi[tickets_kpi['customer_id'] != 1]"
]
},
{
"cell_type": "markdown",
"id": "dbebfa92-310a-417b-a7fa-36ac3593db06",
"metadata": {},
"source": [
"## Evolution des commandes"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "06137694-7f50-47ba-8749-68471ececc1e",
"metadata": {},
"outputs": [],
"source": [
"# Importation - Chargement des données temporaires\n",
"\n",
"# Achat\n",
"BUCKET = \"projet-bdc2324-team1\"\n",
"FILE_KEY_S3 = \"0_Temp/Company 1 - Purchases.csv\"\n",
"FILE_PATH_S3 = BUCKET + \"/\" + FILE_KEY_S3\n",
"\n",
"with fs.open(FILE_PATH_S3, mode=\"rb\") as file_in:\n",
" purchases = pd.read_csv(file_in, sep=\",\")\n",
" \n",
"purchases['purchase_date'] = pd.to_datetime(purchases['purchase_date'], utc = True, format = 'ISO8601')\n",
"\n",
"# Emails\n",
"BUCKET = \"projet-bdc2324-team1\"\n",
"FILE_KEY_S3 = \"0_Temp/Company 1 - Campaigns dataset clean.csv\"\n",
"FILE_PATH_S3 = BUCKET + \"/\" + FILE_KEY_S3\n",
"\n",
"with fs.open(FILE_PATH_S3, mode=\"rb\") as file_in:\n",
" campaigns = pd.read_csv(file_in, sep=\",\")\n",
"\n",
"campaigns['sent_at'] = pd.to_datetime(campaigns['sent_at'], utc = True, format = 'ISO8601')\n"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "e6b962d4-1a30-4133-ac0f-359f7afef42c",
"metadata": {},
"outputs": [],
"source": [
"# Mois du premier achat\n",
"purchase_min = purchases.groupby(['customer_id', 'event_type_id'])['purchase_date'].min().reset_index()\n",
"purchase_min.rename(columns = {'purchase_date' : 'first_purchase_event'}, inplace = True)\n",
"purchase_min['first_purchase_event'] = pd.to_datetime(purchase_min['first_purchase_event'])\n",
"purchase_min['first_purchase_month'] = pd.to_datetime(purchase_min['first_purchase_event'].dt.strftime('%Y-%m'))\n",
"\n",
"# Mois du premier mails\n",
"first_mail_received = campaigns.groupby('customer_id')['sent_at'].min().reset_index()\n",
"first_mail_received.rename(columns = {'sent_at' : 'first_email_reception'}, inplace = True)\n",
"first_mail_received['first_email_reception'] = pd.to_datetime(first_mail_received['first_email_reception'])\n",
"first_mail_received['first_email_month'] = pd.to_datetime(first_mail_received['first_email_reception'].dt.strftime('%Y-%m'))\n",
"\n",
"# Fusion \n",
"known_customer = pd.merge(purchase_min[['customer_id', 'event_type_id', 'first_purchase_month']], \n",
" first_mail_received[['customer_id', 'first_email_month']], on = 'customer_id', how = 'outer')\n",
"\n",
"# Mois à partir duquel le client est considere comme connu\n",
"known_customer['known_date'] = pd.to_datetime(known_customer[['first_email_month', 'first_purchase_month']].min(axis = 1), utc = True, format = 'ISO8601')"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "9c56e5ac-cbf4-4343-80ba-be2ab8b60eab",
"metadata": {},
"outputs": [],
"source": [
"# Nombre de commande par mois\n",
"purchases_count = pd.merge(purchases[['customer_id', 'event_type_id', 'purchase_id', 'purchase_date']].drop_duplicates(), known_customer[['customer_id', 'event_type_id', 'known_date']], on = ['customer_id', 'event_type_id'], how = 'inner')\n",
"purchases_count['is_customer_known'] = purchases_count['purchase_date'] > purchases_count['known_date'] + pd.DateOffset(months=1)\n",
"purchases_count['purchase_date_month'] = pd.to_datetime(purchases_count['purchase_date'].dt.strftime('%Y-%m'))\n",
"purchases_count = purchases_count[purchases_count['customer_id'] != 1]\n",
"\n",
"# Nombre de commande par mois par type de client\n",
"nb_purchases_graph = purchases_count.groupby(['purchase_date_month', 'event_type_id', 'is_customer_known'])['purchase_id'].count().reset_index()\n",
"nb_purchases_graph.rename(columns = {'purchase_id' : 'nb_purchases'}, inplace = True)\n",
"\n",
"nb_purchases_graph_2 = purchases_count.groupby(['purchase_date_month', 'event_type_id', 'is_customer_known'])['customer_id'].nunique().reset_index()\n",
"nb_purchases_graph_2.rename(columns = {'customer_id' : 'nb_new_customer'}, inplace = True)"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "8c1aed44-03d3-49f9-b96c-b06a0df03dde",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Graphique en nombre de commande\n",
"event_type = 5\n",
"purchases_graph = nb_purchases_graph[nb_purchases_graph['event_type_id'] == event_type]\n",
"\n",
"purchases_graph_used = purchases_graph[purchases_graph[\"purchase_date_month\"] >= datetime(2022,1,1)]\n",
"purchases_graph_used_0 = purchases_graph_used[purchases_graph_used[\"is_customer_known\"]==False]\n",
"purchases_graph_used_1 = purchases_graph_used[purchases_graph_used[\"is_customer_known\"]==True]\n",
"\n",
"\n",
"# Création du barplot\n",
"plt.bar(purchases_graph_used_0[\"purchase_date_month\"], purchases_graph_used_0[\"nb_purchases\"], width=12, label = \"Nouveau client\")\n",
"plt.bar(purchases_graph_used_0[\"purchase_date_month\"], purchases_graph_used_1[\"nb_purchases\"], \n",
" bottom = purchases_graph_used_0[\"nb_purchases\"], width=12, label = \"Ancien client\")\n",
"\n",
"\n",
"# commande pr afficher slt\n",
"plt.gca().xaxis.set_major_formatter(mdates.DateFormatter('%b%y'))\n",
"\n",
"\n",
"# Ajout de titres et d'étiquettes\n",
"plt.xlabel('Mois')\n",
"plt.ylabel(\"Nombre d'achats\")\n",
"plt.title(\"Nombre d'achats au cours de l'année 2023 pour l'offre 'muséale groupe'\")\n",
"plt.legend()\n",
"\n",
"# Affichage du barplot\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "d312276c-4c46-4d29-b6d6-ed110f59890d",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# graphique en nombre de client ayant commandé\n",
"event_type = 5\n",
"purchases_graph = nb_purchases_graph_2[nb_purchases_graph_2['event_type_id'] == event_type]\n",
"\n",
"purchases_graph_used = purchases_graph[purchases_graph[\"purchase_date_month\"] >= datetime(2022,1,1)]\n",
"purchases_graph_used_0 = purchases_graph_used[purchases_graph_used[\"is_customer_known\"]==False]\n",
"purchases_graph_used_1 = purchases_graph_used[purchases_graph_used[\"is_customer_known\"]==True]\n",
"\n",
"\n",
"# Création du barplot\n",
"plt.bar(purchases_graph_used_0[\"purchase_date_month\"], purchases_graph_used_0[\"nb_new_customer\"], width=12, label = \"Nouveau client\")\n",
"plt.bar(purchases_graph_used_0[\"purchase_date_month\"], purchases_graph_used_1[\"nb_new_customer\"], \n",
" bottom = purchases_graph_used_0[\"nb_new_customer\"], width=12, label = \"Ancien client\")\n",
"\n",
"\n",
"# commande pr afficher slt\n",
"plt.gca().xaxis.set_major_formatter(mdates.DateFormatter('%b%y'))\n",
"\n",
"\n",
"# Ajout de titres et d'étiquettes\n",
"plt.xlabel('Mois')\n",
"plt.ylabel(\"Nombre de client ayant commandé\")\n",
"plt.title(\"Nombre de client ayant commandé un ticket pour l'offre 'muséale groupe'\")\n",
"plt.legend()\n",
"\n",
"# Affichage du barplot\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"id": "82895dfc-e5ca-4be0-af24-93c1be8f6248",
"metadata": {},
"source": [
"### Proportion de tickets de prix 0"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "6e27dd83-f188-43a5-b595-618b4922a358",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"ticket_id 0.418220\n",
"customer_id 0.418220\n",
"purchase_id 0.418220\n",
"event_type_id 0.418220\n",
"supplier_name 0.418220\n",
"purchase_date 0.418220\n",
"type_of_ticket_name 0.418220\n",
"amount 0.418220\n",
"children 0.418220\n",
"is_full_price 0.418220\n",
"name_event_types 0.418220\n",
"name_facilities 0.418220\n",
"name_categories 0.402548\n",
"name_events 0.175585\n",
"name_seasons 0.418220\n",
"dtype: float64"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"purchases[purchases['amount'] == 0].count()/len(purchases)"
]
},
{
"cell_type": "code",
"execution_count": 33,
"id": "f663d68b-8a5c-4804-b31a-4477a03ca1e4",
"metadata": {
"scrolled": true
},
"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>purchase_id</th>\n",
" <th>ticket_id</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>count</th>\n",
" <td>73518.000000</td>\n",
" <td>7.351800e+04</td>\n",
" </tr>\n",
" <tr>\n",
" <th>mean</th>\n",
" <td>10.096167</td>\n",
" <td>2.484660e+01</td>\n",
" </tr>\n",
" <tr>\n",
" <th>std</th>\n",
" <td>2367.702603</td>\n",
" <td>4.636993e+03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>min</th>\n",
" <td>1.000000</td>\n",
" <td>1.000000e+00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25%</th>\n",
" <td>1.000000</td>\n",
" <td>1.000000e+00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>50%</th>\n",
" <td>1.000000</td>\n",
" <td>2.000000e+00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>75%</th>\n",
" <td>1.000000</td>\n",
" <td>3.000000e+00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>max</th>\n",
" <td>641981.000000</td>\n",
" <td>1.256574e+06</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" purchase_id ticket_id\n",
"count 73518.000000 7.351800e+04\n",
"mean 10.096167 2.484660e+01\n",
"std 2367.702603 4.636993e+03\n",
"min 1.000000 1.000000e+00\n",
"25% 1.000000 1.000000e+00\n",
"50% 1.000000 2.000000e+00\n",
"75% 1.000000 3.000000e+00\n",
"max 641981.000000 1.256574e+06"
]
},
"execution_count": 33,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"purchases.groupby('customer_id')[['purchase_id', 'ticket_id']].nunique().describe()"
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "d1212b10-3933-450a-b001-9e2cbf308f79",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>ticket_id</th>\n",
" <th>customer_id</th>\n",
" <th>purchase_id</th>\n",
" <th>event_type_id</th>\n",
" <th>supplier_name</th>\n",
" <th>purchase_date</th>\n",
" <th>type_of_ticket_name</th>\n",
" <th>amount</th>\n",
" <th>children</th>\n",
" <th>is_full_price</th>\n",
" <th>name_event_types</th>\n",
" <th>name_facilities</th>\n",
" <th>name_categories</th>\n",
" <th>name_events</th>\n",
" <th>name_seasons</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>13070859</td>\n",
" <td>48187</td>\n",
" <td>5107462</td>\n",
" <td>4</td>\n",
" <td>vente en ligne</td>\n",
" <td>2018-12-28 14:47:50+00:00</td>\n",
" <td>Atelier</td>\n",
" <td>8.0</td>\n",
" <td>pricing_formula</td>\n",
" <td>False</td>\n",
" <td>spectacle vivant</td>\n",
" <td>mucem</td>\n",
" <td>indiv prog enfant</td>\n",
" <td>l'école des magiciens</td>\n",
" <td>2018</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>13070860</td>\n",
" <td>48187</td>\n",
" <td>5107462</td>\n",
" <td>4</td>\n",
" <td>vente en ligne</td>\n",
" <td>2018-12-28 14:47:50+00:00</td>\n",
" <td>Atelier</td>\n",
" <td>4.0</td>\n",
" <td>pricing_formula</td>\n",
" <td>False</td>\n",
" <td>spectacle vivant</td>\n",
" <td>mucem</td>\n",
" <td>indiv prog enfant</td>\n",
" <td>l'école des magiciens</td>\n",
" <td>2018</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>13070861</td>\n",
" <td>48187</td>\n",
" <td>5107462</td>\n",
" <td>4</td>\n",
" <td>vente en ligne</td>\n",
" <td>2018-12-28 14:47:50+00:00</td>\n",
" <td>Atelier</td>\n",
" <td>4.0</td>\n",
" <td>pricing_formula</td>\n",
" <td>False</td>\n",
" <td>spectacle vivant</td>\n",
" <td>mucem</td>\n",
" <td>indiv prog enfant</td>\n",
" <td>l'école des magiciens</td>\n",
" <td>2018</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>13070862</td>\n",
" <td>48187</td>\n",
" <td>5107462</td>\n",
" <td>4</td>\n",
" <td>vente en ligne</td>\n",
" <td>2018-12-28 14:47:50+00:00</td>\n",
" <td>Atelier</td>\n",
" <td>4.0</td>\n",
" <td>pricing_formula</td>\n",
" <td>False</td>\n",
" <td>spectacle vivant</td>\n",
" <td>mucem</td>\n",
" <td>indiv prog enfant</td>\n",
" <td>l'école des magiciens</td>\n",
" <td>2018</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>13070863</td>\n",
" <td>48187</td>\n",
" <td>5107462</td>\n",
" <td>4</td>\n",
" <td>vente en ligne</td>\n",
" <td>2018-12-28 14:47:50+00:00</td>\n",
" <td>Atelier</td>\n",
" <td>4.0</td>\n",
" <td>pricing_formula</td>\n",
" <td>False</td>\n",
" <td>spectacle vivant</td>\n",
" <td>mucem</td>\n",
" <td>indiv prog enfant</td>\n",
" <td>l'école des magiciens</td>\n",
" <td>2018</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",
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" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1826667</th>\n",
" <td>20662815</td>\n",
" <td>1256135</td>\n",
" <td>8007697</td>\n",
" <td>5</td>\n",
" <td>vente en ligne</td>\n",
" <td>2023-11-08 17:23:54+00:00</td>\n",
" <td>Atelier</td>\n",
" <td>11.0</td>\n",
" <td>pricing_formula</td>\n",
" <td>False</td>\n",
" <td>offre muséale groupe</td>\n",
" <td>mucem</td>\n",
" <td>indiv entrées tp</td>\n",
" <td>NaN</td>\n",
" <td>2023</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1826668</th>\n",
" <td>20662816</td>\n",
" <td>1256136</td>\n",
" <td>8007698</td>\n",
" <td>5</td>\n",
" <td>vente en ligne</td>\n",
" <td>2023-11-08 18:32:18+00:00</td>\n",
" <td>Atelier</td>\n",
" <td>11.0</td>\n",
" <td>pricing_formula</td>\n",
" <td>False</td>\n",
" <td>offre muséale groupe</td>\n",
" <td>mucem</td>\n",
" <td>indiv entrées tp</td>\n",
" <td>NaN</td>\n",
" <td>2023</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1826669</th>\n",
" <td>20662817</td>\n",
" <td>1256136</td>\n",
" <td>8007698</td>\n",
" <td>5</td>\n",
" <td>vente en ligne</td>\n",
" <td>2023-11-08 18:32:18+00:00</td>\n",
" <td>Atelier</td>\n",
" <td>11.0</td>\n",
" <td>pricing_formula</td>\n",
" <td>False</td>\n",
" <td>offre muséale groupe</td>\n",
" <td>mucem</td>\n",
" <td>indiv entrées tp</td>\n",
" <td>NaN</td>\n",
" <td>2023</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1826670</th>\n",
" <td>20662818</td>\n",
" <td>1256137</td>\n",
" <td>8007699</td>\n",
" <td>5</td>\n",
" <td>vente en ligne</td>\n",
" <td>2023-11-08 19:30:28+00:00</td>\n",
" <td>Atelier</td>\n",
" <td>11.0</td>\n",
" <td>pricing_formula</td>\n",
" <td>False</td>\n",
" <td>offre muséale groupe</td>\n",
" <td>mucem</td>\n",
" <td>indiv entrées tp</td>\n",
" <td>NaN</td>\n",
" <td>2023</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1826671</th>\n",
" <td>20662819</td>\n",
" <td>1256137</td>\n",
" <td>8007699</td>\n",
" <td>5</td>\n",
" <td>vente en ligne</td>\n",
" <td>2023-11-08 19:30:28+00:00</td>\n",
" <td>Atelier</td>\n",
" <td>11.0</td>\n",
" <td>pricing_formula</td>\n",
" <td>False</td>\n",
" <td>offre muséale groupe</td>\n",
" <td>mucem</td>\n",
" <td>indiv entrées tp</td>\n",
" <td>NaN</td>\n",
" <td>2023</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>1826672 rows × 15 columns</p>\n",
"</div>"
],
"text/plain": [
" ticket_id customer_id purchase_id event_type_id supplier_name \\\n",
"0 13070859 48187 5107462 4 vente en ligne \n",
"1 13070860 48187 5107462 4 vente en ligne \n",
"2 13070861 48187 5107462 4 vente en ligne \n",
"3 13070862 48187 5107462 4 vente en ligne \n",
"4 13070863 48187 5107462 4 vente en ligne \n",
"... ... ... ... ... ... \n",
"1826667 20662815 1256135 8007697 5 vente en ligne \n",
"1826668 20662816 1256136 8007698 5 vente en ligne \n",
"1826669 20662817 1256136 8007698 5 vente en ligne \n",
"1826670 20662818 1256137 8007699 5 vente en ligne \n",
"1826671 20662819 1256137 8007699 5 vente en ligne \n",
"\n",
" purchase_date type_of_ticket_name amount \\\n",
"0 2018-12-28 14:47:50+00:00 Atelier 8.0 \n",
"1 2018-12-28 14:47:50+00:00 Atelier 4.0 \n",
"2 2018-12-28 14:47:50+00:00 Atelier 4.0 \n",
"3 2018-12-28 14:47:50+00:00 Atelier 4.0 \n",
"4 2018-12-28 14:47:50+00:00 Atelier 4.0 \n",
"... ... ... ... \n",
"1826667 2023-11-08 17:23:54+00:00 Atelier 11.0 \n",
"1826668 2023-11-08 18:32:18+00:00 Atelier 11.0 \n",
"1826669 2023-11-08 18:32:18+00:00 Atelier 11.0 \n",
"1826670 2023-11-08 19:30:28+00:00 Atelier 11.0 \n",
"1826671 2023-11-08 19:30:28+00:00 Atelier 11.0 \n",
"\n",
" children is_full_price name_event_types name_facilities \\\n",
"0 pricing_formula False spectacle vivant mucem \n",
"1 pricing_formula False spectacle vivant mucem \n",
"2 pricing_formula False spectacle vivant mucem \n",
"3 pricing_formula False spectacle vivant mucem \n",
"4 pricing_formula False spectacle vivant mucem \n",
"... ... ... ... ... \n",
"1826667 pricing_formula False offre muséale groupe mucem \n",
"1826668 pricing_formula False offre muséale groupe mucem \n",
"1826669 pricing_formula False offre muséale groupe mucem \n",
"1826670 pricing_formula False offre muséale groupe mucem \n",
"1826671 pricing_formula False offre muséale groupe mucem \n",
"\n",
" name_categories name_events name_seasons \n",
"0 indiv prog enfant l'école des magiciens 2018 \n",
"1 indiv prog enfant l'école des magiciens 2018 \n",
"2 indiv prog enfant l'école des magiciens 2018 \n",
"3 indiv prog enfant l'école des magiciens 2018 \n",
"4 indiv prog enfant l'école des magiciens 2018 \n",
"... ... ... ... \n",
"1826667 indiv entrées tp NaN 2023 \n",
"1826668 indiv entrées tp NaN 2023 \n",
"1826669 indiv entrées tp NaN 2023 \n",
"1826670 indiv entrées tp NaN 2023 \n",
"1826671 indiv entrées tp NaN 2023 \n",
"\n",
"[1826672 rows x 15 columns]"
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"purchases"
]
},
{
"cell_type": "markdown",
"id": "b8a90eaa-c383-4f73-9fd6-6fbbe8eeefb8",
"metadata": {},
"source": [
"# 2 - Comportement d'achat bis (Alexis)"
]
},
{
"cell_type": "code",
"execution_count": 17,
"id": "dc45c1cd-2a78-48a6-aa2b-6a501254b6f2",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(156289, 40)\n"
]
},
{
"data": {
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" 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>birthdate</th>\n",
" <th>street_id</th>\n",
" <th>is_partner</th>\n",
" <th>gender</th>\n",
" <th>is_email_true</th>\n",
" <th>opt_in</th>\n",
" <th>structure_id</th>\n",
" <th>profession</th>\n",
" <th>language</th>\n",
" <th>...</th>\n",
" <th>vente_internet_max</th>\n",
" <th>purchase_date_min</th>\n",
" <th>purchase_date_max</th>\n",
" <th>time_between_purchase</th>\n",
" <th>nb_tickets_internet</th>\n",
" <th>name_event_types</th>\n",
" <th>avg_amount</th>\n",
" <th>nb_campaigns</th>\n",
" <th>nb_campaigns_opened</th>\n",
" <th>time_to_open</th>\n",
" </tr>\n",
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" <td>4.179306</td>\n",
" <td>3258.011562</td>\n",
" <td>51.0</td>\n",
" <td>offre muséale individuel</td>\n",
" <td>6.150659</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
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" <th>1</th>\n",
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" <td>NaN</td>\n",
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" <td>1.0</td>\n",
" <td>2502.715509</td>\n",
" <td>1408.715532</td>\n",
" <td>1093.999977</td>\n",
" <td>5.0</td>\n",
" <td>formule adhésion</td>\n",
" <td>6.439463</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>1</td>\n",
" <td>NaN</td>\n",
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" <td>False</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>1.0</td>\n",
" <td>3698.198229</td>\n",
" <td>5.221840</td>\n",
" <td>3692.976389</td>\n",
" <td>2988.0</td>\n",
" <td>spectacle vivant</td>\n",
" <td>7.762474</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>1</td>\n",
" <td>NaN</td>\n",
" <td>2</td>\n",
" <td>False</td>\n",
" <td>2</td>\n",
" <td>True</td>\n",
" <td>False</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>1.0</td>\n",
" <td>3803.369792</td>\n",
" <td>0.146331</td>\n",
" <td>3803.223461</td>\n",
" <td>9.0</td>\n",
" <td>offre muséale groupe</td>\n",
" <td>4.452618</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>2</td>\n",
" <td>NaN</td>\n",
" <td>2</td>\n",
" <td>False</td>\n",
" <td>1</td>\n",
" <td>True</td>\n",
" <td>True</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>0.0</td>\n",
" <td>1705.261192</td>\n",
" <td>1456.333715</td>\n",
" <td>248.927477</td>\n",
" <td>0.0</td>\n",
" <td>formule adhésion</td>\n",
" <td>6.439463</td>\n",
" <td>4.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
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],
"text/plain": [
" customer_id birthdate street_id is_partner gender is_email_true \\\n",
"0 1 NaN 2 False 2 True \n",
"1 1 NaN 2 False 2 True \n",
"2 1 NaN 2 False 2 True \n",
"3 1 NaN 2 False 2 True \n",
"4 2 NaN 2 False 1 True \n",
"\n",
" opt_in structure_id profession language ... vente_internet_max \\\n",
"0 False NaN NaN NaN ... 1.0 \n",
"1 False NaN NaN NaN ... 1.0 \n",
"2 False NaN NaN NaN ... 1.0 \n",
"3 False NaN NaN NaN ... 1.0 \n",
"4 True NaN NaN NaN ... 0.0 \n",
"\n",
" purchase_date_min purchase_date_max time_between_purchase \\\n",
"0 3262.190868 4.179306 3258.011562 \n",
"1 2502.715509 1408.715532 1093.999977 \n",
"2 3698.198229 5.221840 3692.976389 \n",
"3 3803.369792 0.146331 3803.223461 \n",
"4 1705.261192 1456.333715 248.927477 \n",
"\n",
" nb_tickets_internet name_event_types avg_amount nb_campaigns \\\n",
"0 51.0 offre muséale individuel 6.150659 NaN \n",
"1 5.0 formule adhésion 6.439463 NaN \n",
"2 2988.0 spectacle vivant 7.762474 NaN \n",
"3 9.0 offre muséale groupe 4.452618 NaN \n",
"4 0.0 formule adhésion 6.439463 4.0 \n",
"\n",
" nb_campaigns_opened time_to_open \n",
"0 NaN NaN \n",
"1 NaN NaN \n",
"2 NaN NaN \n",
"3 NaN NaN \n",
"4 NaN NaN \n",
"\n",
"[5 rows x 40 columns]"
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Chargement des données temporaires\n",
"BUCKET = \"projet-bdc2324-team1\"\n",
"FILE_KEY_S3 = \"0_Temp/Company 1 - customer_event.csv\"\n",
"FILE_PATH_S3 = BUCKET + \"/\" + FILE_KEY_S3\n",
"\n",
"with fs.open(FILE_PATH_S3, mode=\"rb\") as file_in:\n",
" customer = pd.read_csv(file_in, sep=\",\")\n",
"\n",
"print(customer.shape)\n",
"customer.head()"
]
},
{
"cell_type": "code",
"execution_count": 18,
"id": "89fcb455-efb4-4ad4-ab88-efd6c8a76287",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Index(['customer_id', 'birthdate', 'street_id', 'is_partner', 'gender',\n",
" 'is_email_true', 'opt_in', 'structure_id', 'profession', 'language',\n",
" 'mcp_contact_id', 'last_buying_date', 'max_price', 'ticket_sum',\n",
" 'average_price', 'fidelity', 'average_purchase_delay',\n",
" 'average_price_basket', 'average_ticket_basket', 'total_price',\n",
" 'purchase_count', 'first_buying_date', 'country', 'age', 'tenant_id',\n",
" 'event_type_id', 'nb_tickets', 'nb_purchases', 'total_amount',\n",
" 'nb_suppliers', 'vente_internet_max', 'purchase_date_min',\n",
" 'purchase_date_max', 'time_between_purchase', 'nb_tickets_internet',\n",
" 'name_event_types', 'avg_amount', 'nb_campaigns', 'nb_campaigns_opened',\n",
" 'time_to_open'],\n",
" dtype='object')"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"customer.columns"
]
},
{
"cell_type": "code",
"execution_count": 19,
"id": "d7b2356a-d5fc-4547-b3ff-fded0e304fb6",
"metadata": {},
"outputs": [
{
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" <th></th>\n",
" <th>customer_id</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>purchase_count</th>\n",
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" <td>2</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>1.000000</td>\n",
" <td>307</td>\n",
" <td>0.0</td>\n",
" <td>4.0</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>3</td>\n",
" <td>18.333333</td>\n",
" <td>30.666667</td>\n",
" <td>36.666667</td>\n",
" <td>2.000000</td>\n",
" <td>3</td>\n",
" <td>110.0</td>\n",
" <td>222.0</td>\n",
" <td>124.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>4</td>\n",
" <td>10.250000</td>\n",
" <td>5.000000</td>\n",
" <td>20.500000</td>\n",
" <td>2.000000</td>\n",
" <td>2</td>\n",
" <td>41.0</td>\n",
" <td>7.0</td>\n",
" <td>7.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>5</td>\n",
" <td>9.500000</td>\n",
" <td>0.000000</td>\n",
" <td>19.000000</td>\n",
" <td>2.000000</td>\n",
" <td>1</td>\n",
" <td>19.0</td>\n",
" <td>4.0</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" customer_id average_price average_purchase_delay average_price_basket \\\n",
"0 1 7.030122 -67.790969 13.751530 \n",
"4 2 0.000000 0.000000 0.000000 \n",
"6 3 18.333333 30.666667 36.666667 \n",
"7 4 10.250000 5.000000 20.500000 \n",
"9 5 9.500000 0.000000 19.000000 \n",
"\n",
" average_ticket_basket purchase_count total_price nb_campaigns \\\n",
"0 1.956087 641472 8821221.5 0.0 \n",
"4 1.000000 307 0.0 4.0 \n",
"6 2.000000 3 110.0 222.0 \n",
"7 2.000000 2 41.0 7.0 \n",
"9 2.000000 1 19.0 4.0 \n",
"\n",
" nb_campaigns_opened \n",
"0 0.0 \n",
"4 0.0 \n",
"6 124.0 \n",
"7 7.0 \n",
"9 0.0 "
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"achat = ['customer_id', 'average_price', 'average_purchase_delay', 'average_price_basket',\n",
" 'average_ticket_basket', 'purchase_count', 'total_price', 'nb_campaigns',\n",
" 'nb_campaigns_opened']\n",
"\n",
"customer_achat = customer[achat].drop_duplicates(subset = ['customer_id'])\n",
"customer_achat['nb_campaigns'] = customer_achat['nb_campaigns'].fillna(0)\n",
"customer_achat['nb_campaigns_opened'] = customer_achat['nb_campaigns_opened'].fillna(0)\n",
"customer_achat = customer_achat.fillna(0)\n",
"customer_achat.head()"
]
},
{
"cell_type": "code",
"execution_count": 20,
"id": "5559748f-1745-4651-a9f6-94702c7ee66f",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>average_price</th>\n",
" <th>average_purchase_delay</th>\n",
" <th>average_price_basket</th>\n",
" <th>average_ticket_basket</th>\n",
" <th>purchase_count</th>\n",
" <th>total_price</th>\n",
" <th>nb_campaigns</th>\n",
" <th>nb_campaigns_opened</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>count</th>\n",
" <td>151865.000000</td>\n",
" <td>151865.000000</td>\n",
" <td>151865.000000</td>\n",
" <td>151865.000000</td>\n",
" <td>151865.000000</td>\n",
" <td>151865.000000</td>\n",
" <td>151865.000000</td>\n",
" <td>151865.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>mean</th>\n",
" <td>5.252070</td>\n",
" <td>-206.581486</td>\n",
" <td>11.451596</td>\n",
" <td>1.723372</td>\n",
" <td>0.655148</td>\n",
" <td>16.994064</td>\n",
" <td>40.923241</td>\n",
" <td>7.870681</td>\n",
" </tr>\n",
" <tr>\n",
" <th>std</th>\n",
" <td>7.915955</td>\n",
" <td>2996.743657</td>\n",
" <td>48.271194</td>\n",
" <td>7.045950</td>\n",
" <td>5.694038</td>\n",
" <td>313.099102</td>\n",
" <td>70.445724</td>\n",
" <td>23.119061</td>\n",
" </tr>\n",
" <tr>\n",
" <th>min</th>\n",
" <td>0.000000</td>\n",
" <td>-44863.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25%</th>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>2.000000</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>50%</th>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>5.000000</td>\n",
" <td>1.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>75%</th>\n",
" <td>11.000000</td>\n",
" <td>0.000000</td>\n",
" <td>19.000000</td>\n",
" <td>2.000000</td>\n",
" <td>1.000000</td>\n",
" <td>20.000000</td>\n",
" <td>32.000000</td>\n",
" <td>3.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>max</th>\n",
" <td>320.000000</td>\n",
" <td>1914.000000</td>\n",
" <td>9900.000000</td>\n",
" <td>900.000000</td>\n",
" <td>1508.000000</td>\n",
" <td>64350.000000</td>\n",
" <td>439.000000</td>\n",
" <td>434.000000</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" average_price average_purchase_delay average_price_basket \\\n",
"count 151865.000000 151865.000000 151865.000000 \n",
"mean 5.252070 -206.581486 11.451596 \n",
"std 7.915955 2996.743657 48.271194 \n",
"min 0.000000 -44863.000000 0.000000 \n",
"25% 0.000000 0.000000 0.000000 \n",
"50% 0.000000 0.000000 0.000000 \n",
"75% 11.000000 0.000000 19.000000 \n",
"max 320.000000 1914.000000 9900.000000 \n",
"\n",
" average_ticket_basket purchase_count total_price nb_campaigns \\\n",
"count 151865.000000 151865.000000 151865.000000 151865.000000 \n",
"mean 1.723372 0.655148 16.994064 40.923241 \n",
"std 7.045950 5.694038 313.099102 70.445724 \n",
"min 0.000000 0.000000 0.000000 0.000000 \n",
"25% 0.000000 0.000000 0.000000 2.000000 \n",
"50% 0.000000 0.000000 0.000000 5.000000 \n",
"75% 2.000000 1.000000 20.000000 32.000000 \n",
"max 900.000000 1508.000000 64350.000000 439.000000 \n",
"\n",
" nb_campaigns_opened \n",
"count 151865.000000 \n",
"mean 7.870681 \n",
"std 23.119061 \n",
"min 0.000000 \n",
"25% 0.000000 \n",
"50% 1.000000 \n",
"75% 3.000000 \n",
"max 434.000000 "
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"customer_wto_outlier = customer_achat[customer_achat['customer_id']!=1]\n",
"\n",
"customer_wto_outlier[['average_price', 'average_purchase_delay', 'average_price_basket',\n",
" 'average_ticket_basket', 'purchase_count', 'total_price', 'nb_campaigns', 'nb_campaigns_opened']].describe()"
]
},
{
"cell_type": "markdown",
"id": "b49c9e93-f324-42ee-a262-34ffb44a2261",
"metadata": {},
"source": [
"# Event"
]
},
{
"cell_type": "code",
"execution_count": 21,
"id": "4971e35d-a762-4e18-9443-fd9571bd3f1e",
"metadata": {},
"outputs": [
{
"data": {
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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Nombre de consommateurs uniques par type d'évènement\n",
"\n",
"event_counts = customer.groupby('name_event_types')['customer_id'].nunique()\n",
"\n",
"event_counts.plot(kind='bar')\n",
"plt.xlabel(\"Type d'évènement\")\n",
"plt.ylabel('Nombre de consommateurs uniques')\n",
"plt.title(\"Nombre de consommateurs uniques par type d'évènement\")\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 22,
"id": "bc65a711-d172-4839-b487-3047280fc3a6",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 800x500 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Nombre Total de tickets achetés par Type d'évènements\n",
"\n",
"total_tickets_by_event = customer.groupby('name_event_types')['nb_tickets'].sum()\n",
"\n",
"total_tickets_by_event.plot(kind='bar', figsize=(8, 5))\n",
"plt.xlabel(\"Type d'évènements\")\n",
"plt.ylabel('Nombre Total de tickets achetés')\n",
"plt.title(\"Nombre Total de tickets achetés par Type d'évènements\")\n",
"plt.xticks(rotation=45)\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 23,
"id": "c95cc35c-abfc-47c7-9b8a-ac69bfd60dd8",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Nombre de Canaux de Ventes Moyen utilisé par les Consommateurs par type d'évènement\n",
"\n",
"avg_supp_event = customer.groupby('name_event_types')['nb_suppliers'].mean()\n",
"avg_supp_event.plot(kind='bar')\n",
"plt.xlabel(\"Type d'évènement\")\n",
"plt.ylabel('Nombre de Canaux de Ventes Moyen')\n",
"plt.title(\"Nombre de Canaux de Ventes Moyen utilisé par les Consommateurs par type d'évènement\")\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 24,
"id": "49d5fd2d-9bc1-43ac-9270-1efd73759854",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 800x500 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Nombre Total de tickets achetés sur Internet par Type d'évènements\n",
"\n",
"nb_tickets_internet = customer.groupby('name_event_types')['nb_tickets_internet'].sum()\n",
"nb_tickets_internet.plot(kind='bar', figsize=(8, 5))\n",
"plt.xlabel(\"Type d'évènements\")\n",
"plt.ylabel('Nombre Total de tickets achetés sur Internet')\n",
"plt.title(\"Nombre Total de tickets achetés sur Internet par Type d'évènements\")\n",
"plt.xticks(rotation=45)\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "dc071992-cf4d-4b9f-9c3b-3f0e98e20eff",
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "markdown",
"id": "4f9561a9-6a94-434e-b8e7-9b708f5b5529",
"metadata": {},
"source": [
"# 3 - Caractéristiques Démographiques (peu exploitable)"
]
},
{
"cell_type": "code",
"execution_count": 25,
"id": "e50e2583-4b8f-478e-87ac-591dde200af8",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Index(['customer_id', 'birthdate', 'street_id', 'is_partner', 'gender',\n",
" 'is_email_true', 'opt_in', 'structure_id', 'profession', 'language',\n",
" 'mcp_contact_id', 'last_buying_date', 'max_price', 'ticket_sum',\n",
" 'average_price', 'fidelity', 'average_purchase_delay',\n",
" 'average_price_basket', 'average_ticket_basket', 'total_price',\n",
" 'purchase_count', 'first_buying_date', 'country', 'age', 'tenant_id',\n",
" 'event_type_id', 'nb_tickets', 'nb_purchases', 'total_amount',\n",
" 'nb_suppliers', 'vente_internet_max', 'purchase_date_min',\n",
" 'purchase_date_max', 'time_between_purchase', 'nb_tickets_internet',\n",
" 'name_event_types', 'avg_amount', 'nb_campaigns', 'nb_campaigns_opened',\n",
" 'time_to_open'],\n",
" dtype='object')"
]
},
"execution_count": 25,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"customer.columns"
]
},
{
"cell_type": "code",
"execution_count": 26,
"id": "c724a315-9fe8-4874-be8f-a8115b17b5e2",
"metadata": {},
"outputs": [],
"source": [
"def percent_of_na(df, column):\n",
" na_percentage = df[column].isna().mean() * 100\n",
" non_na_percentage = 100 - na_percentage\n",
" \n",
" labels = ['Valeurs Manquantes', 'Non-Valeurs Manquantes']\n",
" sizes = [na_percentage, non_na_percentage]\n",
" colors = ['#ff9999','#66b3ff']\n",
" explode = (0.1, 0)\n",
"\n",
" plt.pie(sizes, explode=explode, labels=labels, colors=colors, autopct='%1.1f%%', startangle=140)\n",
" plt.axis('equal') \n",
" plt.title('Pourcentage de Valeurs Manquantes : {}'.format(column))\n",
" plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 27,
"id": "58af5dcb-673e-4f4d-ad5c-f66ce1e8a22c",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"percent_of_na(customer, 'profession')"
]
},
{
"cell_type": "code",
"execution_count": 28,
"id": "cc3437f7-8b36-4398-9da6-ff15e8e4c8d7",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"percent_of_na(customer, 'language')"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "c34164d2-5ab2-4923-a165-30dc5c070233",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.6"
}
},
"nbformat": 4,
"nbformat_minor": 5
}