customer-personality-analysis.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Project Title - Customer Personality Analysis\n",
    "\n",
    "The Customer Personality data Analysis is one of the best analysis to collect a information from the customer and in which data maximum information is given. We analysis some informations to get important data like customer in which product to money investing. This data set collecting from kaggle, and in this data to analysis with the help of some python program, numpy, pandas, matplotlib, piechart performing in Jupyternotebook.\n",
    "\n",
    "## Description about a data:\n",
    "\n",
    "This dataset contains 29 variables and 2240 observations about different customers.\n",
    "\n",
    "Here's a brief version of the data description file.\n",
    "\n",
    "### People\n",
    "ID: Customer's unique identifier\n",
    "\n",
    "Year_Birth: Customer's birth year\n",
    "\n",
    "Education: Customer's education level\n",
    "\n",
    "Marital_Status: Customer's marital status\n",
    "\n",
    "Income: Customer's yearly household income\n",
    "\n",
    "Kidhome: Number of children in customer's household\n",
    "\n",
    "Teenhome: Number of teenagers in customer's household\n",
    "\n",
    "Dt_Customer: Date of customer's enrollment with the company\n",
    "\n",
    "Recency: Number of days since customer's last purchase\n",
    "\n",
    "Complain: 1 if customer complained in the last 2 years, 0 otherwise\n",
    "\n",
    "### Products\n",
    "\n",
    "MntWines: Amount spent on wine in last 2 years\n",
    " \n",
    "MntFruits: Amount spent on fruits in last 2 years\n",
    " \n",
    "MntMeatProducts: Amount spent on meat in last 2 years\n",
    " \n",
    "MntFishProducts: Amount spent on fish in last 2 years\n",
    " \n",
    "MntSweetProducts: Amount spent on sweets in last 2 years\n",
    "\n",
    "MntGoldProds: Amount spent on gold in last 2 years\n",
    "\n",
    "### Promotion\n",
    "\n",
    "NumDealsPurchases: Number of purchases made with a discount\n",
    "\n",
    "AcceptedCmp1: 1 if customer accepted the offer in the 1st campaign, 0 otherwise\n",
    "\n",
    "AcceptedCmp2: 1 if customer accepted the offer in the 2nd campaign, 0 otherwise\n",
    "\n",
    "AcceptedCmp3: 1 if customer accepted the offer in the 3rd campaign, 0 otherwise\n",
    "\n",
    "AcceptedCmp4: 1 if customer accepted the offer in the 4th campaign, 0 otherwise\n",
    "\n",
    "AcceptedCmp5: 1 if customer accepted the offer in the 5th campaign, 0 otherwise\n",
    "\n",
    "Response: 1 if customer accepted the offer in the last campaign, 0 otherwise\n",
    "\n",
    "### Place\n",
    "\n",
    "NumWebPurchases: Number of purchases made through the company’s web site\n",
    "\n",
    "NumCatalogPurchases: Number of purchases made using a catalogue\n",
    "\n",
    "NumStorePurchases: Number of purchases made directly in stores\n",
    "\n",
    "NumWebVisitsMonth: Number of visits to company’s web site in the last month\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's begin by downloading the data, and listing the files within the dataset."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### dataset_url = 'https://www.kaggle.com/imakash3011/customer-personality-analysis' "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Preparation and Cleaning\n",
    "\n",
    "We first looking a data and some error data to replace in suitable data or not suitable then delete the row as per applicable. and joining some columns as per required you look in following.\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "custumer_personality_df = pd.read_csv('marketing_campaign.csv', sep='\\t')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
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       "      <th>Recency</th>\n",
       "      <th>MntWines</th>\n",
       "      <th>...</th>\n",
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       "      <th>Z_Revenue</th>\n",
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       "      <td>26646.0</td>\n",
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       "      <td>58293.0</td>\n",
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       "      <td>1954</td>\n",
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       "      <td>Married</td>\n",
       "      <td>52869.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
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      ],
      "text/plain": [
       "         ID  Year_Birth   Education Marital_Status   Income  Kidhome  \\\n",
       "0      5524        1957  Graduation         Single  58138.0        0   \n",
       "1      2174        1954  Graduation         Single  46344.0        1   \n",
       "2      4141        1965  Graduation       Together  71613.0        0   \n",
       "3      6182        1984  Graduation       Together  26646.0        1   \n",
       "4      5324        1981         PhD        Married  58293.0        1   \n",
       "...     ...         ...         ...            ...      ...      ...   \n",
       "2235  10870        1967  Graduation        Married  61223.0        0   \n",
       "2236   4001        1946         PhD       Together  64014.0        2   \n",
       "2237   7270        1981  Graduation       Divorced  56981.0        0   \n",
       "2238   8235        1956      Master       Together  69245.0        0   \n",
       "2239   9405        1954         PhD        Married  52869.0        1   \n",
       "\n",
       "      Teenhome Dt_Customer  Recency  MntWines  ...  NumWebVisitsMonth  \\\n",
       "0            0  04-09-2012       58       635  ...                  7   \n",
       "1            1  08-03-2014       38        11  ...                  5   \n",
       "2            0  21-08-2013       26       426  ...                  4   \n",
       "3            0  10-02-2014       26        11  ...                  6   \n",
       "4            0  19-01-2014       94       173  ...                  5   \n",
       "...        ...         ...      ...       ...  ...                ...   \n",
       "2235         1  13-06-2013       46       709  ...                  5   \n",
       "2236         1  10-06-2014       56       406  ...                  7   \n",
       "2237         0  25-01-2014       91       908  ...                  6   \n",
       "2238         1  24-01-2014        8       428  ...                  3   \n",
       "2239         1  15-10-2012       40        84  ...                  7   \n",
       "\n",
       "      AcceptedCmp3  AcceptedCmp4  AcceptedCmp5  AcceptedCmp1  AcceptedCmp2  \\\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",
       "2235             0             0             0             0             0   \n",
       "2236             0             0             0             1             0   \n",
       "2237             0             1             0             0             0   \n",
       "2238             0             0             0             0             0   \n",
       "2239             0             0             0             0             0   \n",
       "\n",
       "      Complain  Z_CostContact  Z_Revenue  Response  \n",
       "0            0              3         11         1  \n",
       "1            0              3         11         0  \n",
       "2            0              3         11         0  \n",
       "3            0              3         11         0  \n",
       "4            0              3         11         0  \n",
       "...        ...            ...        ...       ...  \n",
       "2235         0              3         11         0  \n",
       "2236         0              3         11         0  \n",
       "2237         0              3         11         0  \n",
       "2238         0              3         11         0  \n",
       "2239         0              3         11         1  \n",
       "\n",
       "[2240 rows x 29 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "custumer_personality_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First we checking data type information in this data so we identify one column in which date time no data type given in this data is object."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "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": [
    "custumer_personality_df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "custumer_personality_df1 = custumer_personality_df.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "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",
       "Length: 2240, dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "child = custumer_personality_df.Teenhome + custumer_personality_df.Kidhome\n",
    "child"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We adding new column in its data child adding teen age and kid age."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
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       "    <tr>\n",
       "      <th>2239</th>\n",
       "      <td>9405</td>\n",
       "      <td>1954</td>\n",
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      ],
      "text/plain": [
       "         ID  Year_Birth   Education Marital_Status   Income  Kidhome  \\\n",
       "0      5524        1957  Graduation         Single  58138.0        0   \n",
       "1      2174        1954  Graduation         Single  46344.0        1   \n",
       "2      4141        1965  Graduation       Together  71613.0        0   \n",
       "3      6182        1984  Graduation       Together  26646.0        1   \n",
       "4      5324        1981         PhD        Married  58293.0        1   \n",
       "...     ...         ...         ...            ...      ...      ...   \n",
       "2235  10870        1967  Graduation        Married  61223.0        0   \n",
       "2236   4001        1946         PhD       Together  64014.0        2   \n",
       "2237   7270        1981  Graduation       Divorced  56981.0        0   \n",
       "2238   8235        1956      Master       Together  69245.0        0   \n",
       "2239   9405        1954         PhD        Married  52869.0        1   \n",
       "\n",
       "      Teenhome Dt_Customer  Recency  MntWines  ...  AcceptedCmp3  \\\n",
       "0            0  04-09-2012       58       635  ...             0   \n",
       "1            1  08-03-2014       38        11  ...             0   \n",
       "2            0  21-08-2013       26       426  ...             0   \n",
       "3            0  10-02-2014       26        11  ...             0   \n",
       "4            0  19-01-2014       94       173  ...             0   \n",
       "...        ...         ...      ...       ...  ...           ...   \n",
       "2235         1  13-06-2013       46       709  ...             0   \n",
       "2236         1  10-06-2014       56       406  ...             0   \n",
       "2237         0  25-01-2014       91       908  ...             0   \n",
       "2238         1  24-01-2014        8       428  ...             0   \n",
       "2239         1  15-10-2012       40        84  ...             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",
       "2235             0             0             0             0         0   \n",
       "2236             0             0             1             0         0   \n",
       "2237             1             0             0             0         0   \n",
       "2238             0             0             0             0         0   \n",
       "2239             0             0             0             0         0   \n",
       "\n",
       "      Z_CostContact  Z_Revenue  Response  child  \n",
       "0                 3         11         1      0  \n",
       "1                 3         11         0      2  \n",
       "2                 3         11         0      0  \n",
       "3                 3         11         0      1  \n",
       "4                 3         11         0      1  \n",
       "...             ...        ...       ...    ...  \n",
       "2235              3         11         0      1  \n",
       "2236              3         11         0      3  \n",
       "2237              3         11         0      0  \n",
       "2238              3         11         0      1  \n",
       "2239              3         11         1      2  \n",
       "\n",
       "[2240 rows x 30 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "custumer_personality_df1['child'] = custumer_personality_df.Teenhome + custumer_personality_df.Kidhome\n",
    "custumer_personality_df1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Also we adding new column in its data total_amount_spent in which every customer total amount spent."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>422</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2235</th>\n",
       "      <td>10870</td>\n",
       "      <td>1967</td>\n",
       "      <td>Graduation</td>\n",
       "      <td>Married</td>\n",
       "      <td>61223.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>13-06-2013</td>\n",
       "      <td>46</td>\n",
       "      <td>709</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>3</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1341</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2236</th>\n",
       "      <td>4001</td>\n",
       "      <td>1946</td>\n",
       "      <td>PhD</td>\n",
       "      <td>Together</td>\n",
       "      <td>64014.0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>10-06-2014</td>\n",
       "      <td>56</td>\n",
       "      <td>406</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2237</th>\n",
       "      <td>7270</td>\n",
       "      <td>1981</td>\n",
       "      <td>Graduation</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>56981.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>25-01-2014</td>\n",
       "      <td>91</td>\n",
       "      <td>908</td>\n",
       "      <td>...</td>\n",
       "      <td>1</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>0</td>\n",
       "      <td>1241</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2238</th>\n",
       "      <td>8235</td>\n",
       "      <td>1956</td>\n",
       "      <td>Master</td>\n",
       "      <td>Together</td>\n",
       "      <td>69245.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>24-01-2014</td>\n",
       "      <td>8</td>\n",
       "      <td>428</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>3</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>843</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2239</th>\n",
       "      <td>9405</td>\n",
       "      <td>1954</td>\n",
       "      <td>PhD</td>\n",
       "      <td>Married</td>\n",
       "      <td>52869.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>15-10-2012</td>\n",
       "      <td>40</td>\n",
       "      <td>84</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>3</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>172</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2240 rows × 31 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         ID  Year_Birth   Education Marital_Status   Income  Kidhome  \\\n",
       "0      5524        1957  Graduation         Single  58138.0        0   \n",
       "1      2174        1954  Graduation         Single  46344.0        1   \n",
       "2      4141        1965  Graduation       Together  71613.0        0   \n",
       "3      6182        1984  Graduation       Together  26646.0        1   \n",
       "4      5324        1981         PhD        Married  58293.0        1   \n",
       "...     ...         ...         ...            ...      ...      ...   \n",
       "2235  10870        1967  Graduation        Married  61223.0        0   \n",
       "2236   4001        1946         PhD       Together  64014.0        2   \n",
       "2237   7270        1981  Graduation       Divorced  56981.0        0   \n",
       "2238   8235        1956      Master       Together  69245.0        0   \n",
       "2239   9405        1954         PhD        Married  52869.0        1   \n",
       "\n",
       "      Teenhome Dt_Customer  Recency  MntWines  ...  AcceptedCmp4  \\\n",
       "0            0  04-09-2012       58       635  ...             0   \n",
       "1            1  08-03-2014       38        11  ...             0   \n",
       "2            0  21-08-2013       26       426  ...             0   \n",
       "3            0  10-02-2014       26        11  ...             0   \n",
       "4            0  19-01-2014       94       173  ...             0   \n",
       "...        ...         ...      ...       ...  ...           ...   \n",
       "2235         1  13-06-2013       46       709  ...             0   \n",
       "2236         1  10-06-2014       56       406  ...             0   \n",
       "2237         0  25-01-2014       91       908  ...             1   \n",
       "2238         1  24-01-2014        8       428  ...             0   \n",
       "2239         1  15-10-2012       40        84  ...             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",
       "3                0             0             0         0              3   \n",
       "4                0             0             0         0              3   \n",
       "...            ...           ...           ...       ...            ...   \n",
       "2235             0             0             0         0              3   \n",
       "2236             0             1             0         0              3   \n",
       "2237             0             0             0         0              3   \n",
       "2238             0             0             0         0              3   \n",
       "2239             0             0             0         0              3   \n",
       "\n",
       "      Z_Revenue  Response  child  total_amount_spent  \n",
       "0            11         1      0                1617  \n",
       "1            11         0      2                  27  \n",
       "2            11         0      0                 776  \n",
       "3            11         0      1                  53  \n",
       "4            11         0      1                 422  \n",
       "...         ...       ...    ...                 ...  \n",
       "2235         11         0      1                1341  \n",
       "2236         11         0      3                 444  \n",
       "2237         11         0      0                1241  \n",
       "2238         11         0      1                 843  \n",
       "2239         11         1      2                 172  \n",
       "\n",
       "[2240 rows x 31 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "custumer_personality_df1['total_amount_spent']= custumer_personality_df.MntWines + custumer_personality_df.MntFruits + custumer_personality_df.MntMeatProducts + custumer_personality_df.MntFishProducts + custumer_personality_df.MntSweetProducts + custumer_personality_df.MntGoldProds\n",
    "\n",
    "custumer_personality_df1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2240, 31)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "custumer_personality_df1.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We checking its data any none value present so given Ture other wise False."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "<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",
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       "      <th>Marital_Status</th>\n",
       "      <th>Income</th>\n",
       "      <th>Kidhome</th>\n",
       "      <th>Teenhome</th>\n",
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       "      <th>Recency</th>\n",
       "      <th>MntWines</th>\n",
       "      <th>...</th>\n",
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       "      <th>Z_Revenue</th>\n",
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       "      <th>total_amount_spent</th>\n",
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       "      <td>False</td>\n",
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       "      <td>False</td>\n",
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       "      <td>False</td>\n",
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       "      <th>2235</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
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       "      <td>False</td>\n",
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       "      <td>False</td>\n",
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       "      <td>False</td>\n",
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       "    <tr>\n",
       "      <th>2236</th>\n",
       "      <td>False</td>\n",
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2237</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
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       "      <td>False</td>\n",
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       "      <td>False</td>\n",
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       "      <td>False</td>\n",
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       "    <tr>\n",
       "      <th>2238</th>\n",
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2239</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2240 rows × 31 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         ID  Year_Birth  Education  Marital_Status  Income  Kidhome  Teenhome  \\\n",
       "0     False       False      False           False   False    False     False   \n",
       "1     False       False      False           False   False    False     False   \n",
       "2     False       False      False           False   False    False     False   \n",
       "3     False       False      False           False   False    False     False   \n",
       "4     False       False      False           False   False    False     False   \n",
       "...     ...         ...        ...             ...     ...      ...       ...   \n",
       "2235  False       False      False           False   False    False     False   \n",
       "2236  False       False      False           False   False    False     False   \n",
       "2237  False       False      False           False   False    False     False   \n",
       "2238  False       False      False           False   False    False     False   \n",
       "2239  False       False      False           False   False    False     False   \n",
       "\n",
       "      Dt_Customer  Recency  MntWines  ...  AcceptedCmp4  AcceptedCmp5  \\\n",
       "0           False    False     False  ...         False         False   \n",
       "1           False    False     False  ...         False         False   \n",
       "2           False    False     False  ...         False         False   \n",
       "3           False    False     False  ...         False         False   \n",
       "4           False    False     False  ...         False         False   \n",
       "...           ...      ...       ...  ...           ...           ...   \n",
       "2235        False    False     False  ...         False         False   \n",
       "2236        False    False     False  ...         False         False   \n",
       "2237        False    False     False  ...         False         False   \n",
       "2238        False    False     False  ...         False         False   \n",
       "2239        False    False     False  ...         False         False   \n",
       "\n",
       "      AcceptedCmp1  AcceptedCmp2  Complain  Z_CostContact  Z_Revenue  \\\n",
       "0            False         False     False          False      False   \n",
       "1            False         False     False          False      False   \n",
       "2            False         False     False          False      False   \n",
       "3            False         False     False          False      False   \n",
       "4            False         False     False          False      False   \n",
       "...            ...           ...       ...            ...        ...   \n",
       "2235         False         False     False          False      False   \n",
       "2236         False         False     False          False      False   \n",
       "2237         False         False     False          False      False   \n",
       "2238         False         False     False          False      False   \n",
       "2239         False         False     False          False      False   \n",
       "\n",
       "      Response  child  total_amount_spent  \n",
       "0        False  False               False  \n",
       "1        False  False               False  \n",
       "2        False  False               False  \n",
       "3        False  False               False  \n",
       "4        False  False               False  \n",
       "...        ...    ...                 ...  \n",
       "2235     False  False               False  \n",
       "2236     False  False               False  \n",
       "2237     False  False               False  \n",
       "2238     False  False               False  \n",
       "2239     False  False               False  \n",
       "\n",
       "[2240 rows x 31 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "custumer_personality_df1.isna()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We checking total given value in data. No any value is none value or empty value."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2240"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "custumer_personality_df1.isnull().value_counts().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now some processing mathematical operation mean value minimum value maximum value and so on you shown below."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "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>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>child</th>\n",
       "      <th>total_amount_spent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>2240.000000</td>\n",
       "      <td>2240.000000</td>\n",
       "      <td>2216.000000</td>\n",
       "      <td>2240.000000</td>\n",
       "      <td>2240.000000</td>\n",
       "      <td>2240.000000</td>\n",
       "      <td>2240.000000</td>\n",
       "      <td>2240.000000</td>\n",
       "      <td>2240.000000</td>\n",
       "      <td>2240.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>2240.000000</td>\n",
       "      <td>2240.000000</td>\n",
       "      <td>2240.000000</td>\n",
       "      <td>2240.000000</td>\n",
       "      <td>2240.000000</td>\n",
       "      <td>2240.0</td>\n",
       "      <td>2240.0</td>\n",
       "      <td>2240.000000</td>\n",
       "      <td>2240.000000</td>\n",
       "      <td>2240.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>5592.159821</td>\n",
       "      <td>1968.805804</td>\n",
       "      <td>52247.251354</td>\n",
       "      <td>0.444196</td>\n",
       "      <td>0.506250</td>\n",
       "      <td>49.109375</td>\n",
       "      <td>303.935714</td>\n",
       "      <td>26.302232</td>\n",
       "      <td>166.950000</td>\n",
       "      <td>37.525446</td>\n",
       "      <td>...</td>\n",
       "      <td>0.074554</td>\n",
       "      <td>0.072768</td>\n",
       "      <td>0.064286</td>\n",
       "      <td>0.013393</td>\n",
       "      <td>0.009375</td>\n",
       "      <td>3.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>0.149107</td>\n",
       "      <td>0.950446</td>\n",
       "      <td>605.798214</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>3246.662198</td>\n",
       "      <td>11.984069</td>\n",
       "      <td>25173.076661</td>\n",
       "      <td>0.538398</td>\n",
       "      <td>0.544538</td>\n",
       "      <td>28.962453</td>\n",
       "      <td>336.597393</td>\n",
       "      <td>39.773434</td>\n",
       "      <td>225.715373</td>\n",
       "      <td>54.628979</td>\n",
       "      <td>...</td>\n",
       "      <td>0.262728</td>\n",
       "      <td>0.259813</td>\n",
       "      <td>0.245316</td>\n",
       "      <td>0.114976</td>\n",
       "      <td>0.096391</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.356274</td>\n",
       "      <td>0.751803</td>\n",
       "      <td>602.249288</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>3.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2828.250000</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>23.750000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>3.000000</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>3.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>68.750000</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>173.500000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>67.000000</td>\n",
       "      <td>12.000000</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>3.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>396.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>8427.750000</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>504.250000</td>\n",
       "      <td>33.000000</td>\n",
       "      <td>232.000000</td>\n",
       "      <td>50.000000</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>3.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1045.500000</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>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",
       "      <td>3.000000</td>\n",
       "      <td>2525.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8 rows × 28 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                 ID   Year_Birth         Income      Kidhome     Teenhome  \\\n",
       "count   2240.000000  2240.000000    2216.000000  2240.000000  2240.000000   \n",
       "mean    5592.159821  1968.805804   52247.251354     0.444196     0.506250   \n",
       "std     3246.662198    11.984069   25173.076661     0.538398     0.544538   \n",
       "min        0.000000  1893.000000    1730.000000     0.000000     0.000000   \n",
       "25%     2828.250000  1959.000000   35303.000000     0.000000     0.000000   \n",
       "50%     5458.500000  1970.000000   51381.500000     0.000000     0.000000   \n",
       "75%     8427.750000  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  2240.000000  2240.000000  2240.000000      2240.000000   \n",
       "mean     49.109375   303.935714    26.302232       166.950000   \n",
       "std      28.962453   336.597393    39.773434       225.715373   \n",
       "min       0.000000     0.000000     0.000000         0.000000   \n",
       "25%      24.000000    23.750000     1.000000        16.000000   \n",
       "50%      49.000000   173.500000     8.000000        67.000000   \n",
       "75%      74.000000   504.250000    33.000000       232.000000   \n",
       "max      99.000000  1493.000000   199.000000      1725.000000   \n",
       "\n",
       "       MntFishProducts  ...  AcceptedCmp4  AcceptedCmp5  AcceptedCmp1  \\\n",
       "count      2240.000000  ...   2240.000000   2240.000000   2240.000000   \n",
       "mean         37.525446  ...      0.074554      0.072768      0.064286   \n",
       "std          54.628979  ...      0.262728      0.259813      0.245316   \n",
       "min           0.000000  ...      0.000000      0.000000      0.000000   \n",
       "25%           3.000000  ...      0.000000      0.000000      0.000000   \n",
       "50%          12.000000  ...      0.000000      0.000000      0.000000   \n",
       "75%          50.000000  ...      0.000000      0.000000      0.000000   \n",
       "max         259.000000  ...      1.000000      1.000000      1.000000   \n",
       "\n",
       "       AcceptedCmp2     Complain  Z_CostContact  Z_Revenue     Response  \\\n",
       "count   2240.000000  2240.000000         2240.0     2240.0  2240.000000   \n",
       "mean       0.013393     0.009375            3.0       11.0     0.149107   \n",
       "std        0.114976     0.096391            0.0        0.0     0.356274   \n",
       "min        0.000000     0.000000            3.0       11.0     0.000000   \n",
       "25%        0.000000     0.000000            3.0       11.0     0.000000   \n",
       "50%        0.000000     0.000000            3.0       11.0     0.000000   \n",
       "75%        0.000000     0.000000            3.0       11.0     0.000000   \n",
       "max        1.000000     1.000000            3.0       11.0     1.000000   \n",
       "\n",
       "             child  total_amount_spent  \n",
       "count  2240.000000         2240.000000  \n",
       "mean      0.950446          605.798214  \n",
       "std       0.751803          602.249288  \n",
       "min       0.000000            5.000000  \n",
       "25%       0.000000           68.750000  \n",
       "50%       1.000000          396.000000  \n",
       "75%       1.000000         1045.500000  \n",
       "max       3.000000         2525.000000  \n",
       "\n",
       "[8 rows x 28 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "custumer_personality_df1.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       04-09-2012\n",
       "1       08-03-2014\n",
       "2       21-08-2013\n",
       "3       10-02-2014\n",
       "4       19-01-2014\n",
       "           ...    \n",
       "2235    13-06-2013\n",
       "2236    10-06-2014\n",
       "2237    25-01-2014\n",
       "2238    24-01-2014\n",
       "2239    15-10-2012\n",
       "Name: Dt_Customer, Length: 2240, dtype: object"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "custumer_personality_df1.Dt_Customer"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "now we convert 'dt_Customer' column is given data type `object` to `datetime64` data type."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "custumer_personality_df1['Dt_Customer'] = pd.to_datetime(custumer_personality_df.Dt_Customer, dayfirst=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      2012-09-04\n",
       "1      2014-03-08\n",
       "2      2013-08-21\n",
       "3      2014-02-10\n",
       "4      2014-01-19\n",
       "          ...    \n",
       "2235   2013-06-13\n",
       "2236   2014-06-10\n",
       "2237   2014-01-25\n",
       "2238   2014-01-24\n",
       "2239   2012-10-15\n",
       "Name: Dt_Customer, Length: 2240, dtype: datetime64[ns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "custumer_personality_df1.Dt_Customer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "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",
       "       'child', 'total_amount_spent'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "custumer_personality_df1.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exploratory Analysis and Visualization\n",
    "\n",
    "**Custumer Personality Analysis** - In this we visualization some columns 'Year of birth' , 'Income' , 'Kidhome', 'Teenhome' etc. \n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Instructions (delete this cell)\n",
    "> \n",
    "> - Compute the mean, sum, range and other interesting statistics for numeric columns\n",
    "> - Explore distributions of numeric columns using histograms etc.\n",
    "> - Explore relationship between columns using scatter plots, bar charts etc.\n",
    "> - Make a note of interesting insights from the exploratory analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's begin by importing`matplotlib.pyplot` and `seaborn`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "\n",
    "sns.set_style('darkgrid')\n",
    "matplotlib.rcParams['font.size'] = 14\n",
    "matplotlib.rcParams['figure.figsize'] = (9, 5)\n",
    "matplotlib.rcParams['figure.facecolor'] = '#00000000'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**YearBirth** - Following is a graph in year of birth counts so we see in graph to analysis maximum custumers year of birth in between 1960-1980. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 900x500 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.histplot(custumer_personality_df1.Year_Birth)\n",
    "plt.title('Number of Year of Birth');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 900x500 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.title('Number of Marital Status')\n",
    "sns.histplot(custumer_personality_df.Marital_Status)\n",
    "plt.xticks(rotation=90)\n",
    "plt.tight_layout(pad=2);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 900x900 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(9,9))\n",
    "plt.title('Number of Marital Status in percentage')\n",
    "plt.pie(custumer_personality_df.Marital_Status.value_counts(), labels=custumer_personality_df.Marital_Status.value_counts().index, autopct='%1.2f%%',shadow=True);\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Sacatterplot** - You shown in below graph as per the marital status income is maximum in Together 666666 and average income in Married, Divorced also Single look."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 900x500 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.scatterplot(x=custumer_personality_df1.Marital_Status, y=custumer_personality_df1.Income)\n",
    "plt.title('Marital Status in Income');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As you show in below scatter plot in which we adding hue as Teenhome is a teenages person 0,1 and 2."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 900x500 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.scatterplot(x=custumer_personality_df1.Marital_Status, y=custumer_personality_df1.Income,hue=custumer_personality_df1.Teenhome)\n",
    "plt.title('Marital Status in Income');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Histplot** - This graph in which the last day of purchase counts so that clear last 5 days 135 to 138 customer's purchase maximum also 91 to 95 days 133 to 135 customer's purchases in between last purchase average customer's."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 900x500 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "sns.histplot(custumer_personality_df1.Recency, bins=np.arange(0,100,5))\n",
    "plt.title(\"Number of days since customer's last purchase\");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**barplot** - As show in figure of graph in which we analysis how many marital status money spent in last 2 year so in graph clear that marital status alone is maximum money spent variation. And maximum average of money spent in wines are window and Absurd. As per shown in graph others Marital Status."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 900x500 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(x='MntWines', y='Marital_Status', data=custumer_personality_df1)\n",
    "plt.title('Marital Status Amount spent on wine in last 2 years');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Below graph is same as above graph but in which adding hue so money spent in wines last 2 years are changes other material Status. in which maximum money spent variation in wine Divorced and 2 teenhome customer person also maximum money average spent in wine widow and 2 teenhome customer person.  This one a different result as per above graph. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 900x500 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(x='MntWines', y='Marital_Status', hue= 'Teenhome', data=custumer_personality_df1)\n",
    "plt.title('Marital Status and Teenhome Amount spent on wine in last 2 years');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**piechart** - This pie chart you show that in which we show you number of child in home percentage overall data\n",
    "\n",
    "> - 0 means no child in home\n",
    "> - 1 means one child in home\n",
    "> - 2 means two child in home\n",
    "> - 3 means three child in home"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "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>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>child</th>\n",
       "      <th>total_amount_spent</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>3</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1617</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>3</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>27</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>3</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>776</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>2014-02-10</td>\n",
       "      <td>26</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>3</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>53</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>2014-01-19</td>\n",
       "      <td>94</td>\n",
       "      <td>173</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>3</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>422</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2235</th>\n",
       "      <td>10870</td>\n",
       "      <td>1967</td>\n",
       "      <td>Graduation</td>\n",
       "      <td>Married</td>\n",
       "      <td>61223.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2013-06-13</td>\n",
       "      <td>46</td>\n",
       "      <td>709</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>3</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1341</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2236</th>\n",
       "      <td>4001</td>\n",
       "      <td>1946</td>\n",
       "      <td>PhD</td>\n",
       "      <td>Together</td>\n",
       "      <td>64014.0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2014-06-10</td>\n",
       "      <td>56</td>\n",
       "      <td>406</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2237</th>\n",
       "      <td>7270</td>\n",
       "      <td>1981</td>\n",
       "      <td>Graduation</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>56981.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2014-01-25</td>\n",
       "      <td>91</td>\n",
       "      <td>908</td>\n",
       "      <td>...</td>\n",
       "      <td>1</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>0</td>\n",
       "      <td>1241</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2238</th>\n",
       "      <td>8235</td>\n",
       "      <td>1956</td>\n",
       "      <td>Master</td>\n",
       "      <td>Together</td>\n",
       "      <td>69245.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2014-01-24</td>\n",
       "      <td>8</td>\n",
       "      <td>428</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>3</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>843</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2239</th>\n",
       "      <td>9405</td>\n",
       "      <td>1954</td>\n",
       "      <td>PhD</td>\n",
       "      <td>Married</td>\n",
       "      <td>52869.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2012-10-15</td>\n",
       "      <td>40</td>\n",
       "      <td>84</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>3</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>172</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2240 rows × 31 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         ID  Year_Birth   Education Marital_Status   Income  Kidhome  \\\n",
       "0      5524        1957  Graduation         Single  58138.0        0   \n",
       "1      2174        1954  Graduation         Single  46344.0        1   \n",
       "2      4141        1965  Graduation       Together  71613.0        0   \n",
       "3      6182        1984  Graduation       Together  26646.0        1   \n",
       "4      5324        1981         PhD        Married  58293.0        1   \n",
       "...     ...         ...         ...            ...      ...      ...   \n",
       "2235  10870        1967  Graduation        Married  61223.0        0   \n",
       "2236   4001        1946         PhD       Together  64014.0        2   \n",
       "2237   7270        1981  Graduation       Divorced  56981.0        0   \n",
       "2238   8235        1956      Master       Together  69245.0        0   \n",
       "2239   9405        1954         PhD        Married  52869.0        1   \n",
       "\n",
       "      Teenhome Dt_Customer  Recency  MntWines  ...  AcceptedCmp4  \\\n",
       "0            0  2012-09-04       58       635  ...             0   \n",
       "1            1  2014-03-08       38        11  ...             0   \n",
       "2            0  2013-08-21       26       426  ...             0   \n",
       "3            0  2014-02-10       26        11  ...             0   \n",
       "4            0  2014-01-19       94       173  ...             0   \n",
       "...        ...         ...      ...       ...  ...           ...   \n",
       "2235         1  2013-06-13       46       709  ...             0   \n",
       "2236         1  2014-06-10       56       406  ...             0   \n",
       "2237         0  2014-01-25       91       908  ...             1   \n",
       "2238         1  2014-01-24        8       428  ...             0   \n",
       "2239         1  2012-10-15       40        84  ...             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",
       "3                0             0             0         0              3   \n",
       "4                0             0             0         0              3   \n",
       "...            ...           ...           ...       ...            ...   \n",
       "2235             0             0             0         0              3   \n",
       "2236             0             1             0         0              3   \n",
       "2237             0             0             0         0              3   \n",
       "2238             0             0             0         0              3   \n",
       "2239             0             0             0         0              3   \n",
       "\n",
       "      Z_Revenue  Response  child  total_amount_spent  \n",
       "0            11         1      0                1617  \n",
       "1            11         0      2                  27  \n",
       "2            11         0      0                 776  \n",
       "3            11         0      1                  53  \n",
       "4            11         0      1                 422  \n",
       "...         ...       ...    ...                 ...  \n",
       "2235         11         0      1                1341  \n",
       "2236         11         0      3                 444  \n",
       "2237         11         0      0                1241  \n",
       "2238         11         0      1                 843  \n",
       "2239         11         1      2                 172  \n",
       "\n",
       "[2240 rows x 31 columns]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "custumer_personality_df1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1    1128\n",
       "0     638\n",
       "2     421\n",
       "3      53\n",
       "Name: child, dtype: int64"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "custumer_personality_df1.child.value_counts()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Number of child home in percentage')"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,10))\n",
    "plt.pie(custumer_personality_df1.child.value_counts(), labels=custumer_personality_df1.child.value_counts().index ,autopct=\"%1.2f%%\", explode=[0.01, 0.03, 0.05, 0.06], shadow=True, startangle=180)\n",
    "plt.title('Number of child home in percentage')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Asking and Answering Questions\n",
    "\n",
    "We looking custumer_personality_df1 in it custumer amount spent in some products in last 2 years. Number of last day to purchase and also other data is given so we some questions answering in this data collecting new data. \n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Q1: How many custumer Income above 50000?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "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>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>child</th>\n",
       "      <th>total_amount_spent</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>3</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1617</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>3</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>776</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>2014-01-19</td>\n",
       "      <td>94</td>\n",
       "      <td>173</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>3</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>422</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>7446</td>\n",
       "      <td>1967</td>\n",
       "      <td>Master</td>\n",
       "      <td>Together</td>\n",
       "      <td>62513.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2013-09-09</td>\n",
       "      <td>16</td>\n",
       "      <td>520</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>3</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>716</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>965</td>\n",
       "      <td>1971</td>\n",
       "      <td>Graduation</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>55635.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2012-11-13</td>\n",
       "      <td>34</td>\n",
       "      <td>235</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>3</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>590</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2235</th>\n",
       "      <td>10870</td>\n",
       "      <td>1967</td>\n",
       "      <td>Graduation</td>\n",
       "      <td>Married</td>\n",
       "      <td>61223.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2013-06-13</td>\n",
       "      <td>46</td>\n",
       "      <td>709</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>3</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1341</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2236</th>\n",
       "      <td>4001</td>\n",
       "      <td>1946</td>\n",
       "      <td>PhD</td>\n",
       "      <td>Together</td>\n",
       "      <td>64014.0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2014-06-10</td>\n",
       "      <td>56</td>\n",
       "      <td>406</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2237</th>\n",
       "      <td>7270</td>\n",
       "      <td>1981</td>\n",
       "      <td>Graduation</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>56981.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2014-01-25</td>\n",
       "      <td>91</td>\n",
       "      <td>908</td>\n",
       "      <td>...</td>\n",
       "      <td>1</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>0</td>\n",
       "      <td>1241</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2238</th>\n",
       "      <td>8235</td>\n",
       "      <td>1956</td>\n",
       "      <td>Master</td>\n",
       "      <td>Together</td>\n",
       "      <td>69245.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2014-01-24</td>\n",
       "      <td>8</td>\n",
       "      <td>428</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>3</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>843</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2239</th>\n",
       "      <td>9405</td>\n",
       "      <td>1954</td>\n",
       "      <td>PhD</td>\n",
       "      <td>Married</td>\n",
       "      <td>52869.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2012-10-15</td>\n",
       "      <td>40</td>\n",
       "      <td>84</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>3</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>172</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1156 rows × 31 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         ID  Year_Birth   Education Marital_Status   Income  Kidhome  \\\n",
       "0      5524        1957  Graduation         Single  58138.0        0   \n",
       "2      4141        1965  Graduation       Together  71613.0        0   \n",
       "4      5324        1981         PhD        Married  58293.0        1   \n",
       "5      7446        1967      Master       Together  62513.0        0   \n",
       "6       965        1971  Graduation       Divorced  55635.0        0   \n",
       "...     ...         ...         ...            ...      ...      ...   \n",
       "2235  10870        1967  Graduation        Married  61223.0        0   \n",
       "2236   4001        1946         PhD       Together  64014.0        2   \n",
       "2237   7270        1981  Graduation       Divorced  56981.0        0   \n",
       "2238   8235        1956      Master       Together  69245.0        0   \n",
       "2239   9405        1954         PhD        Married  52869.0        1   \n",
       "\n",
       "      Teenhome Dt_Customer  Recency  MntWines  ...  AcceptedCmp4  \\\n",
       "0            0  2012-09-04       58       635  ...             0   \n",
       "2            0  2013-08-21       26       426  ...             0   \n",
       "4            0  2014-01-19       94       173  ...             0   \n",
       "5            1  2013-09-09       16       520  ...             0   \n",
       "6            1  2012-11-13       34       235  ...             0   \n",
       "...        ...         ...      ...       ...  ...           ...   \n",
       "2235         1  2013-06-13       46       709  ...             0   \n",
       "2236         1  2014-06-10       56       406  ...             0   \n",
       "2237         0  2014-01-25       91       908  ...             1   \n",
       "2238         1  2014-01-24        8       428  ...             0   \n",
       "2239         1  2012-10-15       40        84  ...             0   \n",
       "\n",
       "      AcceptedCmp5  AcceptedCmp1  AcceptedCmp2  Complain  Z_CostContact  \\\n",
       "0                0             0             0         0              3   \n",
       "2                0             0             0         0              3   \n",
       "4                0             0             0         0              3   \n",
       "5                0             0             0         0              3   \n",
       "6                0             0             0         0              3   \n",
       "...            ...           ...           ...       ...            ...   \n",
       "2235             0             0             0         0              3   \n",
       "2236             0             1             0         0              3   \n",
       "2237             0             0             0         0              3   \n",
       "2238             0             0             0         0              3   \n",
       "2239             0             0             0         0              3   \n",
       "\n",
       "      Z_Revenue  Response  child  total_amount_spent  \n",
       "0            11         1      0                1617  \n",
       "2            11         0      0                 776  \n",
       "4            11         0      1                 422  \n",
       "5            11         0      1                 716  \n",
       "6            11         0      1                 590  \n",
       "...         ...       ...    ...                 ...  \n",
       "2235         11         0      1                1341  \n",
       "2236         11         0      3                 444  \n",
       "2237         11         0      0                1241  \n",
       "2238         11         0      1                 843  \n",
       "2239         11         1      2                 172  \n",
       "\n",
       "[1156 rows x 31 columns]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "high_income = custumer_personality_df1.Income > 50000\n",
    "custumer_high_income_df = custumer_personality_df1[high_income]\n",
    "custumer_high_income_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "high_income = custumer_high_income_df.Income.count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The total numbers of above 5000 income custumers are 1156.\n"
     ]
    }
   ],
   "source": [
    "print(f\"The total numbers of above 5000 income custumers are {high_income}.\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Q2: How many money spent overall data in wines and give it's percentage overall spent money?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "overall_mntwines = custumer_personality_df1.MntWines.sum()\n",
    "overall_money_spent =custumer_personality_df1.total_amount_spent.sum()\n",
    "pct_of_mntwines = (overall_mntwines * 100/ overall_money_spent)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The money sent overall data in wines are 680816 and it's percentage overall spent money is 50.17%.\n"
     ]
    }
   ],
   "source": [
    "print(f\"The money sent overall data in wines are {overall_mntwines} and it's percentage overall spent money is {pct_of_mntwines:.2f}%.\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Q3: which year to maximum amount spent customer ?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "custumer_personality_df1['year'] = pd.DatetimeIndex(custumer_personality_df1.Dt_Customer).year\n",
    "custumer_personality_df1['month'] = pd.DatetimeIndex(custumer_personality_df1.Dt_Customer).month\n",
    "custumer_personality_df1['day'] = pd.DatetimeIndex(custumer_personality_df1.Dt_Customer).day\n",
    "custumer_personality_df1['weekday'] = pd.DatetimeIndex(custumer_personality_df1.Dt_Customer).weekday"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<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",
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       "      <th>Recency</th>\n",
       "      <th>MntWines</th>\n",
       "      <th>...</th>\n",
       "      <th>Complain</th>\n",
       "      <th>Z_CostContact</th>\n",
       "      <th>Z_Revenue</th>\n",
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       "    </tr>\n",
       "  </thead>\n",
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       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5524</td>\n",
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       "      <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>3</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1617</td>\n",
       "      <td>2012</td>\n",
       "      <td>9</td>\n",
       "      <td>4</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>2014-03-08</td>\n",
       "      <td>38</td>\n",
       "      <td>11</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>27</td>\n",
       "      <td>2014</td>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>5</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>3</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>776</td>\n",
       "      <td>2013</td>\n",
       "      <td>8</td>\n",
       "      <td>21</td>\n",
       "      <td>2</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>2014-02-10</td>\n",
       "      <td>26</td>\n",
       "      <td>11</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>53</td>\n",
       "      <td>2014</td>\n",
       "      <td>2</td>\n",
       "      <td>10</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>2014-01-19</td>\n",
       "      <td>94</td>\n",
       "      <td>173</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>422</td>\n",
       "      <td>2014</td>\n",
       "      <td>1</td>\n",
       "      <td>19</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2235</th>\n",
       "      <td>10870</td>\n",
       "      <td>1967</td>\n",
       "      <td>Graduation</td>\n",
       "      <td>Married</td>\n",
       "      <td>61223.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2013-06-13</td>\n",
       "      <td>46</td>\n",
       "      <td>709</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1341</td>\n",
       "      <td>2013</td>\n",
       "      <td>6</td>\n",
       "      <td>13</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2236</th>\n",
       "      <td>4001</td>\n",
       "      <td>1946</td>\n",
       "      <td>PhD</td>\n",
       "      <td>Together</td>\n",
       "      <td>64014.0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2014-06-10</td>\n",
       "      <td>56</td>\n",
       "      <td>406</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>444</td>\n",
       "      <td>2014</td>\n",
       "      <td>6</td>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2237</th>\n",
       "      <td>7270</td>\n",
       "      <td>1981</td>\n",
       "      <td>Graduation</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>56981.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2014-01-25</td>\n",
       "      <td>91</td>\n",
       "      <td>908</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1241</td>\n",
       "      <td>2014</td>\n",
       "      <td>1</td>\n",
       "      <td>25</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2238</th>\n",
       "      <td>8235</td>\n",
       "      <td>1956</td>\n",
       "      <td>Master</td>\n",
       "      <td>Together</td>\n",
       "      <td>69245.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2014-01-24</td>\n",
       "      <td>8</td>\n",
       "      <td>428</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>843</td>\n",
       "      <td>2014</td>\n",
       "      <td>1</td>\n",
       "      <td>24</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2239</th>\n",
       "      <td>9405</td>\n",
       "      <td>1954</td>\n",
       "      <td>PhD</td>\n",
       "      <td>Married</td>\n",
       "      <td>52869.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2012-10-15</td>\n",
       "      <td>40</td>\n",
       "      <td>84</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>172</td>\n",
       "      <td>2012</td>\n",
       "      <td>10</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2240 rows × 35 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         ID  Year_Birth   Education Marital_Status   Income  Kidhome  \\\n",
       "0      5524        1957  Graduation         Single  58138.0        0   \n",
       "1      2174        1954  Graduation         Single  46344.0        1   \n",
       "2      4141        1965  Graduation       Together  71613.0        0   \n",
       "3      6182        1984  Graduation       Together  26646.0        1   \n",
       "4      5324        1981         PhD        Married  58293.0        1   \n",
       "...     ...         ...         ...            ...      ...      ...   \n",
       "2235  10870        1967  Graduation        Married  61223.0        0   \n",
       "2236   4001        1946         PhD       Together  64014.0        2   \n",
       "2237   7270        1981  Graduation       Divorced  56981.0        0   \n",
       "2238   8235        1956      Master       Together  69245.0        0   \n",
       "2239   9405        1954         PhD        Married  52869.0        1   \n",
       "\n",
       "      Teenhome Dt_Customer  Recency  MntWines  ...  Complain  Z_CostContact  \\\n",
       "0            0  2012-09-04       58       635  ...         0              3   \n",
       "1            1  2014-03-08       38        11  ...         0              3   \n",
       "2            0  2013-08-21       26       426  ...         0              3   \n",
       "3            0  2014-02-10       26        11  ...         0              3   \n",
       "4            0  2014-01-19       94       173  ...         0              3   \n",
       "...        ...         ...      ...       ...  ...       ...            ...   \n",
       "2235         1  2013-06-13       46       709  ...         0              3   \n",
       "2236         1  2014-06-10       56       406  ...         0              3   \n",
       "2237         0  2014-01-25       91       908  ...         0              3   \n",
       "2238         1  2014-01-24        8       428  ...         0              3   \n",
       "2239         1  2012-10-15       40        84  ...         0              3   \n",
       "\n",
       "      Z_Revenue  Response  child  total_amount_spent  year  month  day  \\\n",
       "0            11         1      0                1617  2012      9    4   \n",
       "1            11         0      2                  27  2014      3    8   \n",
       "2            11         0      0                 776  2013      8   21   \n",
       "3            11         0      1                  53  2014      2   10   \n",
       "4            11         0      1                 422  2014      1   19   \n",
       "...         ...       ...    ...                 ...   ...    ...  ...   \n",
       "2235         11         0      1                1341  2013      6   13   \n",
       "2236         11         0      3                 444  2014      6   10   \n",
       "2237         11         0      0                1241  2014      1   25   \n",
       "2238         11         0      1                 843  2014      1   24   \n",
       "2239         11         1      2                 172  2012     10   15   \n",
       "\n",
       "      weekday  \n",
       "0           1  \n",
       "1           5  \n",
       "2           2  \n",
       "3           0  \n",
       "4           6  \n",
       "...       ...  \n",
       "2235        3  \n",
       "2236        1  \n",
       "2237        5  \n",
       "2238        4  \n",
       "2239        0  \n",
       "\n",
       "[2240 rows x 35 columns]"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "custumer_personality_df1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "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",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>total_amount_spent</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>year</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2012</th>\n",
       "      <td>368269</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013</th>\n",
       "      <td>715425</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014</th>\n",
       "      <td>273294</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      total_amount_spent\n",
       "year                    \n",
       "2012              368269\n",
       "2013              715425\n",
       "2014              273294"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "custumer_personality_df1.groupby('year')[['total_amount_spent']].sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You show in above table maximum amount of money spent in 2013 as per data."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Q4: show that maximum amount income which month and give 10 customer list ?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "<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>Complain</th>\n",
       "      <th>Z_CostContact</th>\n",
       "      <th>Z_Revenue</th>\n",
       "      <th>Response</th>\n",
       "      <th>child</th>\n",
       "      <th>total_amount_spent</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>weekday</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1388</th>\n",
       "      <td>4791</td>\n",
       "      <td>1980</td>\n",
       "      <td>Graduation</td>\n",
       "      <td>Together</td>\n",
       "      <td>44964.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2012-12-16</td>\n",
       "      <td>35</td>\n",
       "      <td>19</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>41</td>\n",
       "      <td>2012</td>\n",
       "      <td>12</td>\n",
       "      <td>16</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1071</th>\n",
       "      <td>11112</td>\n",
       "      <td>1966</td>\n",
       "      <td>Graduation</td>\n",
       "      <td>Together</td>\n",
       "      <td>70713.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2012-12-03</td>\n",
       "      <td>23</td>\n",
       "      <td>736</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1477</td>\n",
       "      <td>2012</td>\n",
       "      <td>12</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1754</th>\n",
       "      <td>2154</td>\n",
       "      <td>1971</td>\n",
       "      <td>Graduation</td>\n",
       "      <td>Widow</td>\n",
       "      <td>30372.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2012-12-25</td>\n",
       "      <td>33</td>\n",
       "      <td>15</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>44</td>\n",
       "      <td>2012</td>\n",
       "      <td>12</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1739</th>\n",
       "      <td>1064</td>\n",
       "      <td>1971</td>\n",
       "      <td>PhD</td>\n",
       "      <td>Married</td>\n",
       "      <td>42403.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2013-12-11</td>\n",
       "      <td>18</td>\n",
       "      <td>22</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>42</td>\n",
       "      <td>2013</td>\n",
       "      <td>12</td>\n",
       "      <td>11</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>7798</td>\n",
       "      <td>1972</td>\n",
       "      <td>2n Cycle</td>\n",
       "      <td>Together</td>\n",
       "      <td>46344.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2012-12-14</td>\n",
       "      <td>28</td>\n",
       "      <td>233</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>429</td>\n",
       "      <td>2012</td>\n",
       "      <td>12</td>\n",
       "      <td>14</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1731</th>\n",
       "      <td>10304</td>\n",
       "      <td>1959</td>\n",
       "      <td>Graduation</td>\n",
       "      <td>Married</td>\n",
       "      <td>18690.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2012-12-28</td>\n",
       "      <td>77</td>\n",
       "      <td>6</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>60</td>\n",
       "      <td>2012</td>\n",
       "      <td>12</td>\n",
       "      <td>28</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>369</th>\n",
       "      <td>2928</td>\n",
       "      <td>1975</td>\n",
       "      <td>PhD</td>\n",
       "      <td>Single</td>\n",
       "      <td>52614.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2012-12-01</td>\n",
       "      <td>63</td>\n",
       "      <td>789</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>990</td>\n",
       "      <td>2012</td>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1722</th>\n",
       "      <td>569</td>\n",
       "      <td>1991</td>\n",
       "      <td>Graduation</td>\n",
       "      <td>Single</td>\n",
       "      <td>90273.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2013-12-14</td>\n",
       "      <td>32</td>\n",
       "      <td>704</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1991</td>\n",
       "      <td>2013</td>\n",
       "      <td>12</td>\n",
       "      <td>14</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>364</th>\n",
       "      <td>5837</td>\n",
       "      <td>1967</td>\n",
       "      <td>Graduation</td>\n",
       "      <td>Married</td>\n",
       "      <td>51479.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2012-12-28</td>\n",
       "      <td>67</td>\n",
       "      <td>247</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>494</td>\n",
       "      <td>2012</td>\n",
       "      <td>12</td>\n",
       "      <td>28</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1694</th>\n",
       "      <td>2431</td>\n",
       "      <td>1990</td>\n",
       "      <td>Graduation</td>\n",
       "      <td>Married</td>\n",
       "      <td>18222.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2012-12-31</td>\n",
       "      <td>70</td>\n",
       "      <td>12</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>67</td>\n",
       "      <td>2012</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10 rows × 35 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         ID  Year_Birth   Education Marital_Status   Income  Kidhome  \\\n",
       "1388   4791        1980  Graduation       Together  44964.0        1   \n",
       "1071  11112        1966  Graduation       Together  70713.0        0   \n",
       "1754   2154        1971  Graduation          Widow  30372.0        1   \n",
       "1739   1064        1971         PhD        Married  42403.0        1   \n",
       "152    7798        1972    2n Cycle       Together  46344.0        0   \n",
       "1731  10304        1959  Graduation        Married  18690.0        0   \n",
       "369    2928        1975         PhD         Single  52614.0        0   \n",
       "1722    569        1991  Graduation         Single  90273.0        0   \n",
       "364    5837        1967  Graduation        Married  51479.0        1   \n",
       "1694   2431        1990  Graduation        Married  18222.0        0   \n",
       "\n",
       "      Teenhome Dt_Customer  Recency  MntWines  ...  Complain  Z_CostContact  \\\n",
       "1388         1  2012-12-16       35        19  ...         0              3   \n",
       "1071         1  2012-12-03       23       736  ...         0              3   \n",
       "1754         1  2012-12-25       33        15  ...         0              3   \n",
       "1739         0  2013-12-11       18        22  ...         0              3   \n",
       "152          1  2012-12-14       28       233  ...         0              3   \n",
       "1731         0  2012-12-28       77         6  ...         0              3   \n",
       "369          1  2012-12-01       63       789  ...         0              3   \n",
       "1722         0  2013-12-14       32       704  ...         0              3   \n",
       "364          1  2012-12-28       67       247  ...         0              3   \n",
       "1694         0  2012-12-31       70        12  ...         0              3   \n",
       "\n",
       "      Z_Revenue  Response  child  total_amount_spent  year  month  day  \\\n",
       "1388         11         0      2                  41  2012     12   16   \n",
       "1071         11         0      1                1477  2012     12    3   \n",
       "1754         11         0      2                  44  2012     12   25   \n",
       "1739         11         0      1                  42  2013     12   11   \n",
       "152          11         0      1                 429  2012     12   14   \n",
       "1731         11         0      0                  60  2012     12   28   \n",
       "369          11         0      1                 990  2012     12    1   \n",
       "1722         11         1      0                1991  2013     12   14   \n",
       "364          11         0      2                 494  2012     12   28   \n",
       "1694         11         0      0                  67  2012     12   31   \n",
       "\n",
       "      weekday  \n",
       "1388        6  \n",
       "1071        0  \n",
       "1754        1  \n",
       "1739        2  \n",
       "152         4  \n",
       "1731        4  \n",
       "369         5  \n",
       "1722        5  \n",
       "364         4  \n",
       "1694        0  \n",
       "\n",
       "[10 rows x 35 columns]"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "custumer_personality_df1.sort_values('month', ascending=False).head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Above 10 customer list in which maximum amount income in month."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Q5: how many total amount spent overall on wine , fruits , meat , fish , sweet  and gold also give in percentage wise ?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "tas_wine = custumer_personality_df1.MntWines.sum()\n",
    "tas_fruits = custumer_personality_df1.MntFruits.sum()\n",
    "tas_meat = custumer_personality_df1.MntMeatProducts.sum()\n",
    "tas_fish = custumer_personality_df1.MntFishProducts.sum()\n",
    "tas_sweet = custumer_personality_df1.MntSweetProducts.sum()\n",
    "tas_gold = custumer_personality_df1.MntGoldProds.sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "tas_wine_pct = tas_wine * 100 / custumer_personality_df1.total_amount_spent.sum()\n",
    "tas_fruits_pct = tas_fruits * 100 / custumer_personality_df1.total_amount_spent.sum()\n",
    "tas_meat_pct = tas_meat * 100 / custumer_personality_df1.total_amount_spent.sum()\n",
    "tas_fish_pct = tas_fish * 100 / custumer_personality_df1.total_amount_spent.sum()\n",
    "tas_sweet_pct = tas_sweet * 100 / custumer_personality_df1.total_amount_spent.sum()\n",
    "tas_gold_pct = tas_gold * 100 / custumer_personality_df1.total_amount_spent.sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The total amount spent overall on wine is 680816 also in percentage 50.17% , fruits is 58917 also in percentage 4.34% , meat is 373968 also in percentage 27.56% , fish is 84057 also in percentage 6.19% , sweet is 60621 also in percentage 4.47% and gold is 98609 also in percentage 7.27%.  \n"
     ]
    }
   ],
   "source": [
    "print(f\"The total amount spent overall on wine is {tas_wine} also in percentage {tas_wine_pct:.2f}% , fruits is {tas_fruits} also in percentage {tas_fruits_pct:.2f}% , meat is {tas_meat} also in percentage {tas_meat_pct:.2f}% , fish is {tas_fish} also in percentage {tas_fish_pct:.2f}% , sweet is {tas_sweet} also in percentage {tas_sweet_pct:.2f}% and gold is {tas_gold} also in percentage {tas_gold_pct:.2f}%.  \")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Q6: How many money spent in day wise?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "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>total_amount_spent</th>\n",
       "      <th>MntWines</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>weekday</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>219658</td>\n",
       "      <td>106894</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>167111</td>\n",
       "      <td>87669</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>211961</td>\n",
       "      <td>106210</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>167978</td>\n",
       "      <td>83996</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>215510</td>\n",
       "      <td>108764</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>198883</td>\n",
       "      <td>100635</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>175887</td>\n",
       "      <td>86648</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         total_amount_spent  MntWines\n",
       "weekday                              \n",
       "0                    219658    106894\n",
       "1                    167111     87669\n",
       "2                    211961    106210\n",
       "3                    167978     83996\n",
       "4                    215510    108764\n",
       "5                    198883    100635\n",
       "6                    175887     86648"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "twd_money_spent = custumer_personality_df1.groupby('weekday')[['total_amount_spent', 'MntWines' ]].sum()\n",
    "twd_money_spent"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### weekday\n",
    "\n",
    "> - 0 means Monday\n",
    "> - 1 means Tuesday\n",
    "> - 2 means Wednesday\n",
    "> - 3 means Thursday\n",
    "> - 4 means Friday\n",
    "> - 5 means Saturday\n",
    "> - 6 means Sunday\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 900x900 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(9,9))\n",
    "plt.pie(twd_money_spent.total_amount_spent, labels= twd_money_spent.index,autopct=\"%1.2f%%\", explode=[0.01,0.03, 0.06, 0.09, 0.12, 0.15, 0.18], shadow=True, startangle=180)\n",
    "plt.title('Total amount sspent in every weekday in 2 years and its in percentage');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Inferences and Conclusion\n",
    "\n"
   ]
  },
  {
   "attachments": {
    "image-3.png": {
     "image/png": 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"
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"
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    "#### Customer Personality Analysis\n",
    "\n",
    "you show that in above we analysis a data in which some interesting data collected.\n",
    "> - We firstly data to check in which any null values.\n",
    "> - we prepare data and clearing some missing values of rows or insert in Nan.\n",
    "> - we adding child in new column.\n",
    "> - we also adding total amount spent in new columns\n",
    "> - we visualize some graphs show aboves related to number of years birth\n",
    "> - customer is maximum birth date in between 1960 to 1980 show in above.\n",
    "> - also other graphs is shows in which interesting data collected.\n",
    "![image.png](attachment:image.png)  ![image-3.png](attachment:image-3.png)\n",
    "\n",
    "> - we also asking and answering question about customer related data.\n",
    "The total numbers of above 5000 income custumers are 1156.\n",
    "\n",
    "\n",
    "\n",
    "We getting some important data related to customer. Maximum customers money spent in last 2 years in wines. Maximum number of customer is married.\n",
    "maximum amount spent in 2013. And 50% customer in one child. maximum money spent in wine widow and absurd.\n",
    "This graph in which the last day of purchase counts so that clear last 5 days 135 to 138 customer's purchase maximum also       91 to 95 days 133 to 135 customer's purchases in between last purchase average customer's. \n",
    "    \n",
    " we analysis in some data and collect in some interesting data as per get a result.\n",
    "    \n",
    "Thank you \n",
    "\n",
    "given some time to looking our analysis."
   ]
  }
 ],
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