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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",
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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",
" </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",
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" <td>453242</td>\n",
" <td>228945</td>\n",
" <td>3248965.5</td>\n",
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" <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",
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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",
" </tr>\n",
" <tr>\n",
" <th>5032</th>\n",
" <td>6733</td>\n",
" <td>6</td>\n",
" <td>14208</td>\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",
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" </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": 6,
"id": "06137694-7f50-47ba-8749-68471ececc1e",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/tmp/ipykernel_2168/3643128924.py:11: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n",
" purchases = pd.read_csv(file_in, sep=\",\", parse_dates = ['purchase_date'], date_parser=custom_date_parser)\n",
"/tmp/ipykernel_2168/3643128924.py:19: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n",
" campaigns = pd.read_csv(file_in, sep=\",\", parse_dates = ['sent_at'], date_parser=custom_date_parser)\n"
]
}
],
"source": [
"# Importation - Chargement des données temporaires\n",
"def custom_date_parser(date_string):\n",
" return pd.to_datetime(date_string, utc = True, format = 'ISO8601')\n",
"\n",
"# Achat\n",
"BUCKET = \"projet-bdc2324-team1\"\n",
"FILE_KEY_S3 = \"0_Input/Company_1/products_purchased_reduced.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=\",\", parse_dates = ['purchase_date'], date_parser=custom_date_parser)\n",
" \n",
"# Emails\n",
"BUCKET = \"projet-bdc2324-team1\"\n",
"FILE_KEY_S3 = \"0_Input/Company_1/campaigns_information.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=\",\", parse_dates = ['sent_at'], date_parser=custom_date_parser)\n"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "e6b962d4-1a30-4133-ac0f-359f7afef42c",
"metadata": {},
"outputs": [],
"source": [
"# Mois du premier achat\n",
"purchase_min = purchases.groupby(['customer_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', '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": 9,
"id": "9c56e5ac-cbf4-4343-80ba-be2ab8b60eab",
"metadata": {},
"outputs": [],
"source": [
"# Nombre de commande par mois\n",
"purchases_count = pd.merge(purchases[['customer_id', 'purchase_id', 'purchase_date']].drop_duplicates(), known_customer[['customer_id', 'known_date']], on = ['customer_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', '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', '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": {
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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Graphique en nombre de commande\n",
"purchases_graph = nb_purchases_graph\n",
"\n",
"purchases_graph_used = purchases_graph[purchases_graph[\"purchase_date_month\"] >= datetime(2021,4,1)]\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": 16,
"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",
"purchases_graph = nb_purchases_graph_2\n",
"\n",
"purchases_graph_used = purchases_graph[purchases_graph[\"purchase_date_month\"] >= datetime(2021,4,1)]\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": 17,
"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": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"purchases[purchases['amount'] == 0].count()/len(purchases)"
]
},
{
"cell_type": "code",
"execution_count": 18,
"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": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"purchases.groupby('customer_id')[['purchase_id', 'ticket_id']].nunique().describe()"
]
},
{
"cell_type": "code",
"execution_count": 17,
"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",
" <td>...</td>\n",
" <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": 17,
"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": 18,
"id": "dc45c1cd-2a78-48a6-aa2b-6a501254b6f2",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(156289, 40)\n"
]
},
{
"data": {
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"<div>\n",
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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",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
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" <td>1.0</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",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>1</td>\n",
" <td>NaN</td>\n",
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" <td>2</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>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",
" <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>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",
" </tr>\n",
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"</table>\n",
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"</div>"
],
"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": 18,
"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": 19,
"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": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"customer.columns"
]
},
{
"cell_type": "code",
"execution_count": 20,
"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",
" <th>total_price</th>\n",
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"</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": 20,
"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": 21,
"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": 21,
"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": 22,
"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": 23,
"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": 24,
"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": 25,
"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": 26,
"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": 26,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"customer.columns"
]
},
{
"cell_type": "code",
"execution_count": 27,
"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": 28,
"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": 29,
"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
}
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