{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "e78d0272",
   "metadata": {},
   "source": [
    "# Importing Libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "595db1ad",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7c122109",
   "metadata": {},
   "source": [
    "# Importing Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "7ebfb3b8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(2240, 29)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ID</th>\n",
       "      <th>Year_Birth</th>\n",
       "      <th>Education</th>\n",
       "      <th>Marital_Status</th>\n",
       "      <th>Income</th>\n",
       "      <th>Kidhome</th>\n",
       "      <th>Teenhome</th>\n",
       "      <th>Dt_Customer</th>\n",
       "      <th>Recency</th>\n",
       "      <th>MntWines</th>\n",
       "      <th>...</th>\n",
       "      <th>NumWebVisitsMonth</th>\n",
       "      <th>AcceptedCmp3</th>\n",
       "      <th>AcceptedCmp4</th>\n",
       "      <th>AcceptedCmp5</th>\n",
       "      <th>AcceptedCmp1</th>\n",
       "      <th>AcceptedCmp2</th>\n",
       "      <th>Complain</th>\n",
       "      <th>Z_CostContact</th>\n",
       "      <th>Z_Revenue</th>\n",
       "      <th>Response</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5524</td>\n",
       "      <td>1957</td>\n",
       "      <td>Graduation</td>\n",
       "      <td>Single</td>\n",
       "      <td>58138.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>04-09-2012</td>\n",
       "      <td>58</td>\n",
       "      <td>635</td>\n",
       "      <td>...</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2174</td>\n",
       "      <td>1954</td>\n",
       "      <td>Graduation</td>\n",
       "      <td>Single</td>\n",
       "      <td>46344.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>08-03-2014</td>\n",
       "      <td>38</td>\n",
       "      <td>11</td>\n",
       "      <td>...</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4141</td>\n",
       "      <td>1965</td>\n",
       "      <td>Graduation</td>\n",
       "      <td>Together</td>\n",
       "      <td>71613.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>21-08-2013</td>\n",
       "      <td>26</td>\n",
       "      <td>426</td>\n",
       "      <td>...</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>6182</td>\n",
       "      <td>1984</td>\n",
       "      <td>Graduation</td>\n",
       "      <td>Together</td>\n",
       "      <td>26646.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>10-02-2014</td>\n",
       "      <td>26</td>\n",
       "      <td>11</td>\n",
       "      <td>...</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5324</td>\n",
       "      <td>1981</td>\n",
       "      <td>PhD</td>\n",
       "      <td>Married</td>\n",
       "      <td>58293.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>19-01-2014</td>\n",
       "      <td>94</td>\n",
       "      <td>173</td>\n",
       "      <td>...</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 29 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     ID  Year_Birth   Education Marital_Status   Income  Kidhome  Teenhome  \\\n",
       "0  5524        1957  Graduation         Single  58138.0        0         0   \n",
       "1  2174        1954  Graduation         Single  46344.0        1         1   \n",
       "2  4141        1965  Graduation       Together  71613.0        0         0   \n",
       "3  6182        1984  Graduation       Together  26646.0        1         0   \n",
       "4  5324        1981         PhD        Married  58293.0        1         0   \n",
       "\n",
       "  Dt_Customer  Recency  MntWines  ...  NumWebVisitsMonth  AcceptedCmp3  \\\n",
       "0  04-09-2012       58       635  ...                  7             0   \n",
       "1  08-03-2014       38        11  ...                  5             0   \n",
       "2  21-08-2013       26       426  ...                  4             0   \n",
       "3  10-02-2014       26        11  ...                  6             0   \n",
       "4  19-01-2014       94       173  ...                  5             0   \n",
       "\n",
       "   AcceptedCmp4  AcceptedCmp5  AcceptedCmp1  AcceptedCmp2  Complain  \\\n",
       "0             0             0             0             0         0   \n",
       "1             0             0             0             0         0   \n",
       "2             0             0             0             0         0   \n",
       "3             0             0             0             0         0   \n",
       "4             0             0             0             0         0   \n",
       "\n",
       "   Z_CostContact  Z_Revenue  Response  \n",
       "0              3         11         1  \n",
       "1              3         11         0  \n",
       "2              3         11         0  \n",
       "3              3         11         0  \n",
       "4              3         11         0  \n",
       "\n",
       "[5 rows x 29 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv(\"data\\customer_segmentation.csv\")\n",
    "print(df.shape)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9e144b0b",
   "metadata": {},
   "source": [
    "# Data cleaning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "0d5a1913",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 2240 entries, 0 to 2239\n",
      "Data columns (total 29 columns):\n",
      " #   Column               Non-Null Count  Dtype  \n",
      "---  ------               --------------  -----  \n",
      " 0   ID                   2240 non-null   int64  \n",
      " 1   Year_Birth           2240 non-null   int64  \n",
      " 2   Education            2240 non-null   object \n",
      " 3   Marital_Status       2240 non-null   object \n",
      " 4   Income               2216 non-null   float64\n",
      " 5   Kidhome              2240 non-null   int64  \n",
      " 6   Teenhome             2240 non-null   int64  \n",
      " 7   Dt_Customer          2240 non-null   object \n",
      " 8   Recency              2240 non-null   int64  \n",
      " 9   MntWines             2240 non-null   int64  \n",
      " 10  MntFruits            2240 non-null   int64  \n",
      " 11  MntMeatProducts      2240 non-null   int64  \n",
      " 12  MntFishProducts      2240 non-null   int64  \n",
      " 13  MntSweetProducts     2240 non-null   int64  \n",
      " 14  MntGoldProds         2240 non-null   int64  \n",
      " 15  NumDealsPurchases    2240 non-null   int64  \n",
      " 16  NumWebPurchases      2240 non-null   int64  \n",
      " 17  NumCatalogPurchases  2240 non-null   int64  \n",
      " 18  NumStorePurchases    2240 non-null   int64  \n",
      " 19  NumWebVisitsMonth    2240 non-null   int64  \n",
      " 20  AcceptedCmp3         2240 non-null   int64  \n",
      " 21  AcceptedCmp4         2240 non-null   int64  \n",
      " 22  AcceptedCmp5         2240 non-null   int64  \n",
      " 23  AcceptedCmp1         2240 non-null   int64  \n",
      " 24  AcceptedCmp2         2240 non-null   int64  \n",
      " 25  Complain             2240 non-null   int64  \n",
      " 26  Z_CostContact        2240 non-null   int64  \n",
      " 27  Z_Revenue            2240 non-null   int64  \n",
      " 28  Response             2240 non-null   int64  \n",
      "dtypes: float64(1), int64(25), object(3)\n",
      "memory usage: 507.6+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "8e119911",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ID                      0\n",
       "Year_Birth              0\n",
       "Education               0\n",
       "Marital_Status          0\n",
       "Income                 24\n",
       "Kidhome                 0\n",
       "Teenhome                0\n",
       "Dt_Customer             0\n",
       "Recency                 0\n",
       "MntWines                0\n",
       "MntFruits               0\n",
       "MntMeatProducts         0\n",
       "MntFishProducts         0\n",
       "MntSweetProducts        0\n",
       "MntGoldProds            0\n",
       "NumDealsPurchases       0\n",
       "NumWebPurchases         0\n",
       "NumCatalogPurchases     0\n",
       "NumStorePurchases       0\n",
       "NumWebVisitsMonth       0\n",
       "AcceptedCmp3            0\n",
       "AcceptedCmp4            0\n",
       "AcceptedCmp5            0\n",
       "AcceptedCmp1            0\n",
       "AcceptedCmp2            0\n",
       "Complain                0\n",
       "Z_CostContact           0\n",
       "Z_Revenue               0\n",
       "Response                0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "3e860e34",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.dropna(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "5cbfaa6a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "361d6134",
   "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>ID</th>\n",
       "      <th>Year_Birth</th>\n",
       "      <th>Income</th>\n",
       "      <th>Kidhome</th>\n",
       "      <th>Teenhome</th>\n",
       "      <th>Recency</th>\n",
       "      <th>MntWines</th>\n",
       "      <th>MntFruits</th>\n",
       "      <th>MntMeatProducts</th>\n",
       "      <th>MntFishProducts</th>\n",
       "      <th>...</th>\n",
       "      <th>NumWebVisitsMonth</th>\n",
       "      <th>AcceptedCmp3</th>\n",
       "      <th>AcceptedCmp4</th>\n",
       "      <th>AcceptedCmp5</th>\n",
       "      <th>AcceptedCmp1</th>\n",
       "      <th>AcceptedCmp2</th>\n",
       "      <th>Complain</th>\n",
       "      <th>Z_CostContact</th>\n",
       "      <th>Z_Revenue</th>\n",
       "      <th>Response</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>2216.000000</td>\n",
       "      <td>2216.000000</td>\n",
       "      <td>2216.000000</td>\n",
       "      <td>2216.000000</td>\n",
       "      <td>2216.000000</td>\n",
       "      <td>2216.000000</td>\n",
       "      <td>2216.000000</td>\n",
       "      <td>2216.000000</td>\n",
       "      <td>2216.000000</td>\n",
       "      <td>2216.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>2216.000000</td>\n",
       "      <td>2216.000000</td>\n",
       "      <td>2216.000000</td>\n",
       "      <td>2216.000000</td>\n",
       "      <td>2216.000000</td>\n",
       "      <td>2216.000000</td>\n",
       "      <td>2216.000000</td>\n",
       "      <td>2216.0</td>\n",
       "      <td>2216.0</td>\n",
       "      <td>2216.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>5588.353339</td>\n",
       "      <td>1968.820397</td>\n",
       "      <td>52247.251354</td>\n",
       "      <td>0.441787</td>\n",
       "      <td>0.505415</td>\n",
       "      <td>49.012635</td>\n",
       "      <td>305.091606</td>\n",
       "      <td>26.356047</td>\n",
       "      <td>166.995939</td>\n",
       "      <td>37.637635</td>\n",
       "      <td>...</td>\n",
       "      <td>5.319043</td>\n",
       "      <td>0.073556</td>\n",
       "      <td>0.074007</td>\n",
       "      <td>0.073105</td>\n",
       "      <td>0.064079</td>\n",
       "      <td>0.013538</td>\n",
       "      <td>0.009477</td>\n",
       "      <td>3.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>0.150271</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>3249.376275</td>\n",
       "      <td>11.985554</td>\n",
       "      <td>25173.076661</td>\n",
       "      <td>0.536896</td>\n",
       "      <td>0.544181</td>\n",
       "      <td>28.948352</td>\n",
       "      <td>337.327920</td>\n",
       "      <td>39.793917</td>\n",
       "      <td>224.283273</td>\n",
       "      <td>54.752082</td>\n",
       "      <td>...</td>\n",
       "      <td>2.425359</td>\n",
       "      <td>0.261106</td>\n",
       "      <td>0.261842</td>\n",
       "      <td>0.260367</td>\n",
       "      <td>0.244950</td>\n",
       "      <td>0.115588</td>\n",
       "      <td>0.096907</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.357417</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1893.000000</td>\n",
       "      <td>1730.000000</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",
       "      <td>0.000000</td>\n",
       "      <td>...</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",
       "      <td>0.000000</td>\n",
       "      <td>3.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2814.750000</td>\n",
       "      <td>1959.000000</td>\n",
       "      <td>35303.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>3.000000</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",
       "      <td>3.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>5458.500000</td>\n",
       "      <td>1970.000000</td>\n",
       "      <td>51381.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>49.000000</td>\n",
       "      <td>174.500000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>68.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>6.000000</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",
       "      <td>3.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>8421.750000</td>\n",
       "      <td>1977.000000</td>\n",
       "      <td>68522.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>74.000000</td>\n",
       "      <td>505.000000</td>\n",
       "      <td>33.000000</td>\n",
       "      <td>232.250000</td>\n",
       "      <td>50.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>7.000000</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",
       "      <td>3.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>11191.000000</td>\n",
       "      <td>1996.000000</td>\n",
       "      <td>666666.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>99.000000</td>\n",
       "      <td>1493.000000</td>\n",
       "      <td>199.000000</td>\n",
       "      <td>1725.000000</td>\n",
       "      <td>259.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                 ID   Year_Birth         Income      Kidhome     Teenhome  \\\n",
       "count   2216.000000  2216.000000    2216.000000  2216.000000  2216.000000   \n",
       "mean    5588.353339  1968.820397   52247.251354     0.441787     0.505415   \n",
       "std     3249.376275    11.985554   25173.076661     0.536896     0.544181   \n",
       "min        0.000000  1893.000000    1730.000000     0.000000     0.000000   \n",
       "25%     2814.750000  1959.000000   35303.000000     0.000000     0.000000   \n",
       "50%     5458.500000  1970.000000   51381.500000     0.000000     0.000000   \n",
       "75%     8421.750000  1977.000000   68522.000000     1.000000     1.000000   \n",
       "max    11191.000000  1996.000000  666666.000000     2.000000     2.000000   \n",
       "\n",
       "           Recency     MntWines    MntFruits  MntMeatProducts  \\\n",
       "count  2216.000000  2216.000000  2216.000000      2216.000000   \n",
       "mean     49.012635   305.091606    26.356047       166.995939   \n",
       "std      28.948352   337.327920    39.793917       224.283273   \n",
       "min       0.000000     0.000000     0.000000         0.000000   \n",
       "25%      24.000000    24.000000     2.000000        16.000000   \n",
       "50%      49.000000   174.500000     8.000000        68.000000   \n",
       "75%      74.000000   505.000000    33.000000       232.250000   \n",
       "max      99.000000  1493.000000   199.000000      1725.000000   \n",
       "\n",
       "       MntFishProducts  ...  NumWebVisitsMonth  AcceptedCmp3  AcceptedCmp4  \\\n",
       "count      2216.000000  ...        2216.000000   2216.000000   2216.000000   \n",
       "mean         37.637635  ...           5.319043      0.073556      0.074007   \n",
       "std          54.752082  ...           2.425359      0.261106      0.261842   \n",
       "min           0.000000  ...           0.000000      0.000000      0.000000   \n",
       "25%           3.000000  ...           3.000000      0.000000      0.000000   \n",
       "50%          12.000000  ...           6.000000      0.000000      0.000000   \n",
       "75%          50.000000  ...           7.000000      0.000000      0.000000   \n",
       "max         259.000000  ...          20.000000      1.000000      1.000000   \n",
       "\n",
       "       AcceptedCmp5  AcceptedCmp1  AcceptedCmp2     Complain  Z_CostContact  \\\n",
       "count   2216.000000   2216.000000   2216.000000  2216.000000         2216.0   \n",
       "mean       0.073105      0.064079      0.013538     0.009477            3.0   \n",
       "std        0.260367      0.244950      0.115588     0.096907            0.0   \n",
       "min        0.000000      0.000000      0.000000     0.000000            3.0   \n",
       "25%        0.000000      0.000000      0.000000     0.000000            3.0   \n",
       "50%        0.000000      0.000000      0.000000     0.000000            3.0   \n",
       "75%        0.000000      0.000000      0.000000     0.000000            3.0   \n",
       "max        1.000000      1.000000      1.000000     1.000000            3.0   \n",
       "\n",
       "       Z_Revenue     Response  \n",
       "count     2216.0  2216.000000  \n",
       "mean        11.0     0.150271  \n",
       "std          0.0     0.357417  \n",
       "min         11.0     0.000000  \n",
       "25%         11.0     0.000000  \n",
       "50%         11.0     0.000000  \n",
       "75%         11.0     0.000000  \n",
       "max         11.0     1.000000  \n",
       "\n",
       "[8 rows x 26 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1de55d06",
   "metadata": {},
   "source": [
    "# Plotting Distributions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9ace1083",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': 'Distribution of Education Levels'}>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['Education'].value_counts().plot(\n",
    "    kind='pie',\n",
    "    autopct='%1.1f%%',\n",
    "    startangle=90, \n",
    "    ylabel='',          \n",
    "    title='Distribution of Education Levels'\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "dc15ed04",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': 'Distribution of Marital Status'}, xlabel='Marital Status', ylabel='Count'>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['Marital_Status'].value_counts().plot(\n",
    "    kind='bar',\n",
    "    color='skyblue',\n",
    "    edgecolor='black',\n",
    "    grid=True,\n",
    "    title='Distribution of Marital Status',\n",
    "    xlabel='Marital Status',\n",
    "    ylabel='Count'\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e7d36953",
   "metadata": {},
   "source": [
    "# Feature Engineering"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "1becfaaa",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Dt_Customer'] = pd.to_datetime(df['Dt_Customer'], dayfirst=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "fb7a4d7b",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Age'] = 2025 - df['Year_Birth']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "03bea98a",
   "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>ID</th>\n",
       "      <th>Year_Birth</th>\n",
       "      <th>Education</th>\n",
       "      <th>Marital_Status</th>\n",
       "      <th>Income</th>\n",
       "      <th>Kidhome</th>\n",
       "      <th>Teenhome</th>\n",
       "      <th>Dt_Customer</th>\n",
       "      <th>Recency</th>\n",
       "      <th>MntWines</th>\n",
       "      <th>...</th>\n",
       "      <th>AcceptedCmp3</th>\n",
       "      <th>AcceptedCmp4</th>\n",
       "      <th>AcceptedCmp5</th>\n",
       "      <th>AcceptedCmp1</th>\n",
       "      <th>AcceptedCmp2</th>\n",
       "      <th>Complain</th>\n",
       "      <th>Z_CostContact</th>\n",
       "      <th>Z_Revenue</th>\n",
       "      <th>Response</th>\n",
       "      <th>Age</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5524</td>\n",
       "      <td>1957</td>\n",
       "      <td>Graduation</td>\n",
       "      <td>Single</td>\n",
       "      <td>58138.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2012-09-04</td>\n",
       "      <td>58</td>\n",
       "      <td>635</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2174</td>\n",
       "      <td>1954</td>\n",
       "      <td>Graduation</td>\n",
       "      <td>Single</td>\n",
       "      <td>46344.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2014-03-08</td>\n",
       "      <td>38</td>\n",
       "      <td>11</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4141</td>\n",
       "      <td>1965</td>\n",
       "      <td>Graduation</td>\n",
       "      <td>Together</td>\n",
       "      <td>71613.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2013-08-21</td>\n",
       "      <td>26</td>\n",
       "      <td>426</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3 rows × 30 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     ID  Year_Birth   Education Marital_Status   Income  Kidhome  Teenhome  \\\n",
       "0  5524        1957  Graduation         Single  58138.0        0         0   \n",
       "1  2174        1954  Graduation         Single  46344.0        1         1   \n",
       "2  4141        1965  Graduation       Together  71613.0        0         0   \n",
       "\n",
       "  Dt_Customer  Recency  MntWines  ...  AcceptedCmp3  AcceptedCmp4  \\\n",
       "0  2012-09-04       58       635  ...             0             0   \n",
       "1  2014-03-08       38        11  ...             0             0   \n",
       "2  2013-08-21       26       426  ...             0             0   \n",
       "\n",
       "   AcceptedCmp5  AcceptedCmp1  AcceptedCmp2  Complain  Z_CostContact  \\\n",
       "0             0             0             0         0              3   \n",
       "1             0             0             0         0              3   \n",
       "2             0             0             0         0              3   \n",
       "\n",
       "   Z_Revenue  Response  Age  \n",
       "0         11         1   68  \n",
       "1         11         0   71  \n",
       "2         11         0   60  \n",
       "\n",
       "[3 rows x 30 columns]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "c4624275",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       0\n",
       "1       2\n",
       "2       0\n",
       "3       1\n",
       "4       1\n",
       "       ..\n",
       "2235    1\n",
       "2236    3\n",
       "2237    0\n",
       "2238    1\n",
       "2239    2\n",
       "Name: Total_children, Length: 2216, dtype: int64"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Total_children'] = df['Kidhome'] + df['Teenhome']\n",
    "df['Total_children']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "cac098fa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['ID', 'Year_Birth', 'Education', 'Marital_Status', 'Income', 'Kidhome',\n",
       "       'Teenhome', 'Dt_Customer', 'Recency', 'MntWines', 'MntFruits',\n",
       "       'MntMeatProducts', 'MntFishProducts', 'MntSweetProducts',\n",
       "       'MntGoldProds', 'NumDealsPurchases', 'NumWebPurchases',\n",
       "       'NumCatalogPurchases', 'NumStorePurchases', 'NumWebVisitsMonth',\n",
       "       'AcceptedCmp3', 'AcceptedCmp4', 'AcceptedCmp5', 'AcceptedCmp1',\n",
       "       'AcceptedCmp2', 'Complain', 'Z_CostContact', 'Z_Revenue', 'Response',\n",
       "       'Age', 'Total_children'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "524c2051",
   "metadata": {},
   "outputs": [],
   "source": [
    "spend_cols = ['MntWines', 'MntFruits', 'MntMeatProducts', 'MntFishProducts', 'MntSweetProducts', 'MntGoldProds']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "f2ab67d6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       1617\n",
       "1         27\n",
       "2        776\n",
       "3         53\n",
       "4        422\n",
       "        ... \n",
       "2235    1341\n",
       "2236     444\n",
       "2237    1241\n",
       "2238     843\n",
       "2239     172\n",
       "Name: Total_Spendings, Length: 2216, dtype: int64"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Total_Spendings'] = df[spend_cols].sum(axis=1)\n",
    "df['Total_Spendings']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "87364ef6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       4864\n",
       "1       4314\n",
       "2       4513\n",
       "3       4340\n",
       "4       4362\n",
       "        ... \n",
       "2235    4582\n",
       "2236    4220\n",
       "2237    4356\n",
       "2238    4357\n",
       "2239    4823\n",
       "Name: Customer_Science, Length: 2216, dtype: int64"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Customer_Science'] = (pd.Timestamp('today') - df['Dt_Customer']).dt.days\n",
    "df['Customer_Science']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e8315413",
   "metadata": {},
   "source": [
    "# EDA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "206271c7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8,5))\n",
    "sns.set_style('darkgrid')\n",
    "sns.histplot(df['Age'],\n",
    "            kde=True,\n",
    "            color='blue',\n",
    "            edgecolor='darkslategray',\n",
    "            bins=30,)\n",
    "plt.xlabel='Age'\n",
    "plt.ylabel='Count'\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a223b30d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8,5))\n",
    "sns.histplot(df['Income'],\n",
    "            kde=True,\n",
    "            color='blue',\n",
    "            edgecolor='darkslategray',\n",
    "            bins=30,)\n",
    "plt.xlabel='Income'\n",
    "plt.ylabel='Count'\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "171004f7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8,5))\n",
    "sns.histplot(df['Total_Spendings'],\n",
    "            kde=True,\n",
    "            color='blue',\n",
    "            edgecolor='darkslategray',\n",
    "            bins=30,)\n",
    "plt.xlabel='Total_Spendings'\n",
    "plt.ylabel='Count'\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "0a7e8abe",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['ID', 'Year_Birth', 'Education', 'Marital_Status', 'Income', 'Kidhome',\n",
       "       'Teenhome', 'Dt_Customer', 'Recency', 'MntWines', 'MntFruits',\n",
       "       'MntMeatProducts', 'MntFishProducts', 'MntSweetProducts',\n",
       "       'MntGoldProds', 'NumDealsPurchases', 'NumWebPurchases',\n",
       "       'NumCatalogPurchases', 'NumStorePurchases', 'NumWebVisitsMonth',\n",
       "       'AcceptedCmp3', 'AcceptedCmp4', 'AcceptedCmp5', 'AcceptedCmp1',\n",
       "       'AcceptedCmp2', 'Complain', 'Z_CostContact', 'Z_Revenue', 'Response',\n",
       "       'Age', 'Total_children', 'Total_Spendings', 'Customer_Science'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "e5100daa",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\junai\\AppData\\Local\\Temp\\ipykernel_11024\\1469090692.py:2: FutureWarning: \n",
      "\n",
      "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
      "\n",
      "  sns.boxplot(data=df, x='Education', y=\"Income\",palette=\"Set2\", showmeans=True)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8,5))\n",
    "sns.boxplot(data=df, x='Education', y=\"Income\",palette=\"Set2\", showmeans=True)\n",
    "plt.xticks(rotation=45)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "8af954e5",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\junai\\AppData\\Local\\Temp\\ipykernel_11024\\3035966249.py:2: FutureWarning: \n",
      "\n",
      "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
      "\n",
      "  sns.boxplot(data=df, x='Marital_Status', y=\"Total_Spendings\",palette=\"Set2\", showmeans=True)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8,5))\n",
    "sns.boxplot(data=df, x='Marital_Status', y=\"Total_Spendings\",palette=\"Set2\", showmeans=True)\n",
    "plt.xticks(rotation=45)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "2fa61e1b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['ID', 'Year_Birth', 'Education', 'Marital_Status', 'Income', 'Kidhome',\n",
       "       'Teenhome', 'Dt_Customer', 'Recency', 'MntWines', 'MntFruits',\n",
       "       'MntMeatProducts', 'MntFishProducts', 'MntSweetProducts',\n",
       "       'MntGoldProds', 'NumDealsPurchases', 'NumWebPurchases',\n",
       "       'NumCatalogPurchases', 'NumStorePurchases', 'NumWebVisitsMonth',\n",
       "       'AcceptedCmp3', 'AcceptedCmp4', 'AcceptedCmp5', 'AcceptedCmp1',\n",
       "       'AcceptedCmp2', 'Complain', 'Z_CostContact', 'Z_Revenue', 'Response',\n",
       "       'Age', 'Total_children', 'Total_Spendings', 'Customer_Science'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "id": "c7426d73",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "relation = df[['Income', 'Age', 'Recency', 'Total_Spendings', 'NumWebPurchases', 'NumStorePurchases']].corr()\n",
    "plt.figure(figsize=(8,6))\n",
    "sns.heatmap(relation, annot=True, cmap='coolwarm', fmt=\".2f\", linewidths=0.5)\n",
    "plt.xticks(rotation=30, ha='right')\n",
    "plt.show()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "id": "2ed1ab47",
   "metadata": {},
   "outputs": [],
   "source": [
    "grouped=df.groupby(['Education', 'Marital_Status'])['Income'].mean().reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "id": "dfe590d4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,6))\n",
    "sns.barplot(data=grouped, x='Education', y='Income', hue='Marital_Status', palette='Set2')\n",
    "plt.legend(title=\"Marital Status\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "id": "01e72df1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "grouped=df.groupby('Education')['Total_Spendings'].mean().sort_values(ascending=False)\n",
    "sns.barplot(data=grouped, color='purple', edgecolor='black')\n",
    "plt.xticks(rotation=30, ha='right')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "id": "310c7b1d",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['AcceptedAny'] = df[['AcceptedCmp1', 'AcceptedCmp2', 'AcceptedCmp3', 'AcceptedCmp4', 'AcceptedCmp5', 'Response']].sum(axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "id": "7125bf59",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1, 0, 3, 2, 4, 5], dtype=int64)"
      ]
     },
     "execution_count": 120,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['AcceptedAny'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "id": "c81e90d5",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['AcceptedAny'] = df['AcceptedAny'].apply(lambda X:1 if X > 0 else 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "id": "1a7a6b40",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "group2 = df.groupby('Marital_Status')['AcceptedAny'].mean()\n",
    "group2.plot(\n",
    "    kind='pie',\n",
    "    autopct='%1.1f%%',    \n",
    "    startangle=90,         \n",
    "    ylabel='',             \n",
    "    colormap='Set2'        \n",
    ")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "id": "b1c5aff9",
   "metadata": {},
   "outputs": [],
   "source": [
    "bins = [18,30,40,50,60,70,90]\n",
    "labels = ['18-29', '30-39', '40-49', '50-59', '60-69', '70+']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "id": "8320e99b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       60-69\n",
       "1         70+\n",
       "2       50-59\n",
       "3       40-49\n",
       "4       40-49\n",
       "        ...  \n",
       "2235    50-59\n",
       "2236      70+\n",
       "2237    40-49\n",
       "2238    60-69\n",
       "2239      70+\n",
       "Name: AgeGroup, Length: 2216, dtype: category\n",
       "Categories (6, object): ['18-29' < '30-39' < '40-49' < '50-59' < '60-69' < '70+']"
      ]
     },
     "execution_count": 129,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['AgeGroup'] = pd.cut(df['Age'], labels=labels, bins=bins)\n",
    "df['AgeGroup']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "id": "6792fbee",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\junai\\AppData\\Local\\Temp\\ipykernel_11024\\3061263347.py:1: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n",
      "  group3 = df.groupby('AgeGroup')['Income'].mean()\n"
     ]
    }
   ],
   "source": [
    "group3 = df.groupby('AgeGroup')['Income'].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "id": "44ab64e7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8,5))\n",
    "sns.barplot(data=group3,\n",
    "            color='blue',\n",
    "            edgecolor='black',)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "id": "af50812d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['ID', 'Year_Birth', 'Education', 'Marital_Status', 'Income', 'Kidhome',\n",
       "       'Teenhome', 'Dt_Customer', 'Recency', 'MntWines', 'MntFruits',\n",
       "       'MntMeatProducts', 'MntFishProducts', 'MntSweetProducts',\n",
       "       'MntGoldProds', 'NumDealsPurchases', 'NumWebPurchases',\n",
       "       'NumCatalogPurchases', 'NumStorePurchases', 'NumWebVisitsMonth',\n",
       "       'AcceptedCmp3', 'AcceptedCmp4', 'AcceptedCmp5', 'AcceptedCmp1',\n",
       "       'AcceptedCmp2', 'Complain', 'Z_CostContact', 'Z_Revenue', 'Response',\n",
       "       'Age', 'Total_children', 'Total_Spendings', 'Customer_Science',\n",
       "       'AcceptedAny', 'AgeGroup'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 137,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "id": "55f214fc",
   "metadata": {},
   "outputs": [],
   "source": [
    "features = ['Age', 'Income', 'Total_Spendings', 'NumWebPurchases', 'NumStorePurchases', 'NumWebVisitsMonth', 'Recency']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "id": "9c9f0d6e",
   "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>Age</th>\n",
       "      <th>Income</th>\n",
       "      <th>Total_Spendings</th>\n",
       "      <th>NumWebPurchases</th>\n",
       "      <th>NumStorePurchases</th>\n",
       "      <th>NumWebVisitsMonth</th>\n",
       "      <th>Recency</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>68</td>\n",
       "      <td>58138.0</td>\n",
       "      <td>1617</td>\n",
       "      <td>8</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "      <td>58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>71</td>\n",
       "      <td>46344.0</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>60</td>\n",
       "      <td>71613.0</td>\n",
       "      <td>776</td>\n",
       "      <td>8</td>\n",
       "      <td>10</td>\n",
       "      <td>4</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>41</td>\n",
       "      <td>26646.0</td>\n",
       "      <td>53</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>44</td>\n",
       "      <td>58293.0</td>\n",
       "      <td>422</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>94</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Age   Income  Total_Spendings  NumWebPurchases  NumStorePurchases  \\\n",
       "0   68  58138.0             1617                8                  4   \n",
       "1   71  46344.0               27                1                  2   \n",
       "2   60  71613.0              776                8                 10   \n",
       "3   41  26646.0               53                2                  4   \n",
       "4   44  58293.0              422                5                  6   \n",
       "\n",
       "   NumWebVisitsMonth  Recency  \n",
       "0                  7       58  \n",
       "1                  5       38  \n",
       "2                  4       26  \n",
       "3                  6       26  \n",
       "4                  5       94  "
      ]
     },
     "execution_count": 174,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[features].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "id": "1fc8c020",
   "metadata": {},
   "outputs": [],
   "source": [
    "X = df[features].copy()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "526a21cf",
   "metadata": {},
   "source": [
    "# Model Training"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5975aff0",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.cluster import KMeans\n",
    "from kneed import KneeLocator\n",
    "from sklearn.decomposition import PCA\n",
    "import joblib\n",
    "import os"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5ed244ef",
   "metadata": {},
   "outputs": [],
   "source": [
    "sclaer = StandardScaler()\n",
    "X_scaled = sclaer.fit_transform(X)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "id": "aad5a785",
   "metadata": {},
   "outputs": [],
   "source": [
    "wcss = []\n",
    "for i in range(2, 10):\n",
    "    kmeans = KMeans(\n",
    "        n_clusters=i,\n",
    "        init='k-means++',     \n",
    "        n_init=30,            \n",
    "        max_iter=300,         \n",
    "        random_state=42,      \n",
    "        tol=1e-4              \n",
    "    )\n",
    "    kmeans.fit(X_scaled)\n",
    "    wcss.append(kmeans.inertia_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bcbfbd00",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8, 5))\n",
    "plt.plot(range(2, 10), wcss, marker='o', linestyle='-', color='b', linewidth=2, markersize=6)\n",
    "plt.grid(True, alpha=0.3)\n",
    "plt.xticks(range(2, 10))    \n",
    "plt.tight_layout()       \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "id": "96356975",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Optimal K: 4\n"
     ]
    }
   ],
   "source": [
    "kl = KneeLocator(range(2, 10), wcss, curve=\"convex\", direction=\"decreasing\")\n",
    "print(\"Optimal K:\", kl.elbow)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "id": "4a35ec9e",
   "metadata": {},
   "outputs": [],
   "source": [
    "kmeans = KMeans(\n",
    "    n_clusters=4,\n",
    "    init='k-means++',\n",
    "    n_init=30,\n",
    "    max_iter=300,\n",
    "    random_state=42,\n",
    "    tol=1e-4\n",
    ")\n",
    "df['Clusters'] = kmeans.fit_predict(X_scaled)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "id": "d2d7c7aa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       3\n",
       "1       1\n",
       "2       3\n",
       "3       1\n",
       "4       2\n",
       "       ..\n",
       "2235    3\n",
       "2236    3\n",
       "2237    0\n",
       "2238    0\n",
       "2239    1\n",
       "Name: Clusters, Length: 2216, dtype: int32"
      ]
     },
     "execution_count": 155,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Clusters']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "id": "9c4069f9",
   "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>Age</th>\n",
       "      <th>Income</th>\n",
       "      <th>Total_Spendings</th>\n",
       "      <th>NumWebPurchases</th>\n",
       "      <th>NumStorePurchases</th>\n",
       "      <th>NumWebVisitsMonth</th>\n",
       "      <th>Recency</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Clusters</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>56.914237</td>\n",
       "      <td>77182.814751</td>\n",
       "      <td>1270.509434</td>\n",
       "      <td>4.409949</td>\n",
       "      <td>8.430532</td>\n",
       "      <td>2.411664</td>\n",
       "      <td>51.512864</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>52.663748</td>\n",
       "      <td>34849.970228</td>\n",
       "      <td>122.376532</td>\n",
       "      <td>2.250438</td>\n",
       "      <td>3.388792</td>\n",
       "      <td>6.450088</td>\n",
       "      <td>23.901926</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>55.266667</td>\n",
       "      <td>36378.562162</td>\n",
       "      <td>134.558559</td>\n",
       "      <td>2.392793</td>\n",
       "      <td>3.459459</td>\n",
       "      <td>6.448649</td>\n",
       "      <td>74.801802</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>60.293886</td>\n",
       "      <td>60538.250493</td>\n",
       "      <td>907.327416</td>\n",
       "      <td>7.631164</td>\n",
       "      <td>8.057199</td>\n",
       "      <td>6.151874</td>\n",
       "      <td>46.187377</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                Age        Income  Total_Spendings  NumWebPurchases  \\\n",
       "Clusters                                                              \n",
       "0         56.914237  77182.814751      1270.509434         4.409949   \n",
       "1         52.663748  34849.970228       122.376532         2.250438   \n",
       "2         55.266667  36378.562162       134.558559         2.392793   \n",
       "3         60.293886  60538.250493       907.327416         7.631164   \n",
       "\n",
       "          NumStorePurchases  NumWebVisitsMonth    Recency  \n",
       "Clusters                                                   \n",
       "0                  8.430532           2.411664  51.512864  \n",
       "1                  3.388792           6.450088  23.901926  \n",
       "2                  3.459459           6.448649  74.801802  \n",
       "3                  8.057199           6.151874  46.187377  "
      ]
     },
     "execution_count": 156,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cluster_summary = df.groupby('Clusters')[features].mean()\n",
    "cluster_summary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "id": "4acc5d0a",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['Clusters'].value_counts().plot(kind='bar', color='blue',\n",
    "            edgecolor='black')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "id": "e7e933d9",
   "metadata": {},
   "outputs": [],
   "source": [
    "pca = PCA(n_components=2)\n",
    "pca_data = pca.fit_transform(X_scaled)\n",
    "df['PCA1'], df['PCA2'] = pca_data[:,0], pca_data[:,1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "id": "7697f576",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.scatterplot(data=df, x='PCA1', y='PCA2', hue='Clusters', palette='Set1')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2c8514f6",
   "metadata": {},
   "source": [
    "# Saving the files"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "id": "c3f7289b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Files saved succesfully\n"
     ]
    }
   ],
   "source": [
    "os.makedirs('artifacts')\n",
    "joblib.dump(kmeans, 'artifacts/kmeans.pkl')\n",
    "joblib.dump(sclaer, 'artifacts/scaler.pkl')\n",
    "print('Files saved succesfully')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5061accb",
   "metadata": {},
   "source": [
    "Cluster Name\n",
    "\n",
    "0\n",
    "High-Value Loyal Shoppers : \n",
    "High income, high spending, prefers in-store, moderate recency.\n",
    "\n",
    "1\n",
    "Budget-Conscious Occasional Shoppers : \n",
    "Low income, low spending, browses web a lot, very recent purchase (low recency).\n",
    "\n",
    "2\n",
    "Mid-Tier Engaged Browsers : \n",
    "Mid income, low spending, browses web a lot, least recent purchase (high recency).\n",
    "\n",
    "3\n",
    "Active Online-Focused Shoppers : \n",
    "High income, high spending, highest web purchases, active across all channels."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "507262af",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "myenv",
   "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",
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