shauryanegi17@gmail.com-RetailCaseStudy-Python.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import scipy.stats as stats\n",
    "%matplotlib inline\n",
    "import math\n",
    "from datetime import datetime as dt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "cust =pd.read_csv(\"C:/Data Sets/(Class 9-Python - Case Study)/1.Retail/Customer.csv\")\n",
    "transactions = pd.read_csv(\"C:/Data Sets/(Class 9-Python - Case Study)/1.Retail/Transactions.csv\")\n",
    "prod = pd.read_csv(\"C:/Data Sets/(Class 9-Python - Case Study)/1.Retail/prod_cat_info.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>prod_cat_code</th>\n",
       "      <th>prod_cat</th>\n",
       "      <th>prod_sub_cat_code</th>\n",
       "      <th>prod_subcat</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Clothing</td>\n",
       "      <td>4</td>\n",
       "      <td>Mens</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>Clothing</td>\n",
       "      <td>1</td>\n",
       "      <td>Women</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>Clothing</td>\n",
       "      <td>3</td>\n",
       "      <td>Kids</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2</td>\n",
       "      <td>Footwear</td>\n",
       "      <td>1</td>\n",
       "      <td>Mens</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2</td>\n",
       "      <td>Footwear</td>\n",
       "      <td>3</td>\n",
       "      <td>Women</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2</td>\n",
       "      <td>Footwear</td>\n",
       "      <td>4</td>\n",
       "      <td>Kids</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>3</td>\n",
       "      <td>Electronics</td>\n",
       "      <td>4</td>\n",
       "      <td>Mobiles</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>3</td>\n",
       "      <td>Electronics</td>\n",
       "      <td>5</td>\n",
       "      <td>Computers</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>3</td>\n",
       "      <td>Electronics</td>\n",
       "      <td>8</td>\n",
       "      <td>Personal Appliances</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>3</td>\n",
       "      <td>Electronics</td>\n",
       "      <td>9</td>\n",
       "      <td>Cameras</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>3</td>\n",
       "      <td>Electronics</td>\n",
       "      <td>10</td>\n",
       "      <td>Audio and video</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>4</td>\n",
       "      <td>Bags</td>\n",
       "      <td>1</td>\n",
       "      <td>Mens</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>4</td>\n",
       "      <td>Bags</td>\n",
       "      <td>4</td>\n",
       "      <td>Women</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>5</td>\n",
       "      <td>Books</td>\n",
       "      <td>7</td>\n",
       "      <td>Fiction</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>5</td>\n",
       "      <td>Books</td>\n",
       "      <td>12</td>\n",
       "      <td>Academic</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>5</td>\n",
       "      <td>Books</td>\n",
       "      <td>10</td>\n",
       "      <td>Non-Fiction</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>5</td>\n",
       "      <td>Books</td>\n",
       "      <td>11</td>\n",
       "      <td>Children</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>5</td>\n",
       "      <td>Books</td>\n",
       "      <td>3</td>\n",
       "      <td>Comics</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>5</td>\n",
       "      <td>Books</td>\n",
       "      <td>6</td>\n",
       "      <td>DIY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>6</td>\n",
       "      <td>Home and kitchen</td>\n",
       "      <td>2</td>\n",
       "      <td>Furnishing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>6</td>\n",
       "      <td>Home and kitchen</td>\n",
       "      <td>10</td>\n",
       "      <td>Kitchen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>6</td>\n",
       "      <td>Home and kitchen</td>\n",
       "      <td>11</td>\n",
       "      <td>Bath</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>6</td>\n",
       "      <td>Home and kitchen</td>\n",
       "      <td>12</td>\n",
       "      <td>Tools</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    prod_cat_code          prod_cat  prod_sub_cat_code          prod_subcat\n",
       "0               1          Clothing                  4                 Mens\n",
       "1               1          Clothing                  1                Women\n",
       "2               1          Clothing                  3                 Kids\n",
       "3               2          Footwear                  1                 Mens\n",
       "4               2          Footwear                  3                Women\n",
       "5               2          Footwear                  4                 Kids\n",
       "6               3       Electronics                  4              Mobiles\n",
       "7               3       Electronics                  5            Computers\n",
       "8               3       Electronics                  8  Personal Appliances\n",
       "9               3       Electronics                  9              Cameras\n",
       "10              3       Electronics                 10      Audio and video\n",
       "11              4              Bags                  1                 Mens\n",
       "12              4              Bags                  4                Women\n",
       "13              5             Books                  7              Fiction\n",
       "14              5             Books                 12             Academic\n",
       "15              5             Books                 10          Non-Fiction\n",
       "16              5             Books                 11             Children\n",
       "17              5             Books                  3               Comics\n",
       "18              5             Books                  6                  DIY\n",
       "19              6  Home and kitchen                  2           Furnishing\n",
       "20              6  Home and kitchen                 10              Kitchen\n",
       "21              6  Home and kitchen                 11                 Bath\n",
       "22              6  Home and kitchen                 12                Tools"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Q1 1. Merge the datasets Customers, Product Hierarchy and Transactions as Customer_Final. Ensure to\n",
    "#keep all customers who have done transactions with us and select the join type accordingly.\n",
    "prod"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>transaction_id</th>\n",
       "      <th>cust_id</th>\n",
       "      <th>tran_date</th>\n",
       "      <th>prod_subcat_code</th>\n",
       "      <th>prod_cat_code</th>\n",
       "      <th>Qty</th>\n",
       "      <th>Rate</th>\n",
       "      <th>Tax</th>\n",
       "      <th>total_amt</th>\n",
       "      <th>Store_type</th>\n",
       "      <th>customer_Id</th>\n",
       "      <th>DOB</th>\n",
       "      <th>Gender</th>\n",
       "      <th>city_code</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>80712190438</td>\n",
       "      <td>270351</td>\n",
       "      <td>28-02-2014</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>-5</td>\n",
       "      <td>-772</td>\n",
       "      <td>405.300</td>\n",
       "      <td>-4265.300</td>\n",
       "      <td>e-Shop</td>\n",
       "      <td>270351</td>\n",
       "      <td>26-09-1981</td>\n",
       "      <td>M</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>29258453508</td>\n",
       "      <td>270384</td>\n",
       "      <td>27-02-2014</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>-5</td>\n",
       "      <td>-1497</td>\n",
       "      <td>785.925</td>\n",
       "      <td>-8270.925</td>\n",
       "      <td>e-Shop</td>\n",
       "      <td>270384</td>\n",
       "      <td>11-05-1973</td>\n",
       "      <td>F</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>51750724947</td>\n",
       "      <td>273420</td>\n",
       "      <td>24-02-2014</td>\n",
       "      <td>6</td>\n",
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       "      <td>-2</td>\n",
       "      <td>-791</td>\n",
       "      <td>166.110</td>\n",
       "      <td>-1748.110</td>\n",
       "      <td>TeleShop</td>\n",
       "      <td>273420</td>\n",
       "      <td>27-07-1992</td>\n",
       "      <td>M</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>93274880719</td>\n",
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       "      <td>24-02-2014</td>\n",
       "      <td>11</td>\n",
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       "      <td>-1363</td>\n",
       "      <td>429.345</td>\n",
       "      <td>-4518.345</td>\n",
       "      <td>e-Shop</td>\n",
       "      <td>271509</td>\n",
       "      <td>08-06-1981</td>\n",
       "      <td>M</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>51750724947</td>\n",
       "      <td>273420</td>\n",
       "      <td>23-02-2014</td>\n",
       "      <td>6</td>\n",
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       "      <td>-2</td>\n",
       "      <td>-791</td>\n",
       "      <td>166.110</td>\n",
       "      <td>-1748.110</td>\n",
       "      <td>TeleShop</td>\n",
       "      <td>273420</td>\n",
       "      <td>27-07-1992</td>\n",
       "      <td>M</td>\n",
       "      <td>8.0</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",
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       "      <th>23048</th>\n",
       "      <td>94340757522</td>\n",
       "      <td>274550</td>\n",
       "      <td>25-01-2011</td>\n",
       "      <td>12</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>1264</td>\n",
       "      <td>132.720</td>\n",
       "      <td>1396.720</td>\n",
       "      <td>e-Shop</td>\n",
       "      <td>274550</td>\n",
       "      <td>21-02-1972</td>\n",
       "      <td>M</td>\n",
       "      <td>7.0</td>\n",
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       "    <tr>\n",
       "      <th>23049</th>\n",
       "      <td>89780862956</td>\n",
       "      <td>270022</td>\n",
       "      <td>25-01-2011</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>677</td>\n",
       "      <td>71.085</td>\n",
       "      <td>748.085</td>\n",
       "      <td>e-Shop</td>\n",
       "      <td>270022</td>\n",
       "      <td>27-04-1984</td>\n",
       "      <td>M</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23050</th>\n",
       "      <td>85115299378</td>\n",
       "      <td>271020</td>\n",
       "      <td>25-01-2011</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>1052</td>\n",
       "      <td>441.840</td>\n",
       "      <td>4649.840</td>\n",
       "      <td>MBR</td>\n",
       "      <td>271020</td>\n",
       "      <td>20-06-1976</td>\n",
       "      <td>M</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23051</th>\n",
       "      <td>72870271171</td>\n",
       "      <td>270911</td>\n",
       "      <td>25-01-2011</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>1142</td>\n",
       "      <td>359.730</td>\n",
       "      <td>3785.730</td>\n",
       "      <td>TeleShop</td>\n",
       "      <td>270911</td>\n",
       "      <td>22-05-1970</td>\n",
       "      <td>M</td>\n",
       "      <td>2.0</td>\n",
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       "    <tr>\n",
       "      <th>23052</th>\n",
       "      <td>77960931771</td>\n",
       "      <td>271961</td>\n",
       "      <td>25-01-2011</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>447</td>\n",
       "      <td>46.935</td>\n",
       "      <td>493.935</td>\n",
       "      <td>TeleShop</td>\n",
       "      <td>271961</td>\n",
       "      <td>15-01-1982</td>\n",
       "      <td>M</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>23053 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       transaction_id  cust_id   tran_date  prod_subcat_code  prod_cat_code  \\\n",
       "0         80712190438   270351  28-02-2014                 1              1   \n",
       "1         29258453508   270384  27-02-2014                 5              3   \n",
       "2         51750724947   273420  24-02-2014                 6              5   \n",
       "3         93274880719   271509  24-02-2014                11              6   \n",
       "4         51750724947   273420  23-02-2014                 6              5   \n",
       "...               ...      ...         ...               ...            ...   \n",
       "23048     94340757522   274550  25-01-2011                12              5   \n",
       "23049     89780862956   270022  25-01-2011                 4              1   \n",
       "23050     85115299378   271020  25-01-2011                 2              6   \n",
       "23051     72870271171   270911  25-01-2011                11              5   \n",
       "23052     77960931771   271961  25-01-2011                11              5   \n",
       "\n",
       "       Qty  Rate      Tax  total_amt Store_type  customer_Id         DOB  \\\n",
       "0       -5  -772  405.300  -4265.300     e-Shop       270351  26-09-1981   \n",
       "1       -5 -1497  785.925  -8270.925     e-Shop       270384  11-05-1973   \n",
       "2       -2  -791  166.110  -1748.110   TeleShop       273420  27-07-1992   \n",
       "3       -3 -1363  429.345  -4518.345     e-Shop       271509  08-06-1981   \n",
       "4       -2  -791  166.110  -1748.110   TeleShop       273420  27-07-1992   \n",
       "...    ...   ...      ...        ...        ...          ...         ...   \n",
       "23048    1  1264  132.720   1396.720     e-Shop       274550  21-02-1972   \n",
       "23049    1   677   71.085    748.085     e-Shop       270022  27-04-1984   \n",
       "23050    4  1052  441.840   4649.840        MBR       271020  20-06-1976   \n",
       "23051    3  1142  359.730   3785.730   TeleShop       270911  22-05-1970   \n",
       "23052    1   447   46.935    493.935   TeleShop       271961  15-01-1982   \n",
       "\n",
       "      Gender  city_code  \n",
       "0          M        5.0  \n",
       "1          F        8.0  \n",
       "2          M        8.0  \n",
       "3          M        3.0  \n",
       "4          M        8.0  \n",
       "...      ...        ...  \n",
       "23048      M        7.0  \n",
       "23049      M        9.0  \n",
       "23050      M        8.0  \n",
       "23051      M        2.0  \n",
       "23052      M        1.0  \n",
       "\n",
       "[23053 rows x 14 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cust1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "cust1 = pd.merge(left= transactions,right = cust , how= 'left', left_on = 'cust_id' , right_on= 'customer_Id')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "customer_final = pd.merge(left = cust1, right = prod, how = 'left', left_on = ['prod_cat_code','prod_subcat_code'], right_on = ['prod_cat_code','prod_sub_cat_code'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    }\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>transaction_id</th>\n",
       "      <th>cust_id</th>\n",
       "      <th>tran_date</th>\n",
       "      <th>prod_subcat_code</th>\n",
       "      <th>prod_cat_code</th>\n",
       "      <th>Qty</th>\n",
       "      <th>Rate</th>\n",
       "      <th>Tax</th>\n",
       "      <th>total_amt</th>\n",
       "      <th>Store_type</th>\n",
       "      <th>customer_Id</th>\n",
       "      <th>DOB</th>\n",
       "      <th>Gender</th>\n",
       "      <th>city_code</th>\n",
       "      <th>prod_cat</th>\n",
       "      <th>prod_sub_cat_code</th>\n",
       "      <th>prod_subcat</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>80712190438</td>\n",
       "      <td>270351</td>\n",
       "      <td>28-02-2014</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>-5</td>\n",
       "      <td>-772</td>\n",
       "      <td>405.300</td>\n",
       "      <td>-4265.300</td>\n",
       "      <td>e-Shop</td>\n",
       "      <td>270351</td>\n",
       "      <td>26-09-1981</td>\n",
       "      <td>M</td>\n",
       "      <td>5.0</td>\n",
       "      <td>Clothing</td>\n",
       "      <td>1</td>\n",
       "      <td>Women</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>29258453508</td>\n",
       "      <td>270384</td>\n",
       "      <td>27-02-2014</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>-5</td>\n",
       "      <td>-1497</td>\n",
       "      <td>785.925</td>\n",
       "      <td>-8270.925</td>\n",
       "      <td>e-Shop</td>\n",
       "      <td>270384</td>\n",
       "      <td>11-05-1973</td>\n",
       "      <td>F</td>\n",
       "      <td>8.0</td>\n",
       "      <td>Electronics</td>\n",
       "      <td>5</td>\n",
       "      <td>Computers</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>51750724947</td>\n",
       "      <td>273420</td>\n",
       "      <td>24-02-2014</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>-2</td>\n",
       "      <td>-791</td>\n",
       "      <td>166.110</td>\n",
       "      <td>-1748.110</td>\n",
       "      <td>TeleShop</td>\n",
       "      <td>273420</td>\n",
       "      <td>27-07-1992</td>\n",
       "      <td>M</td>\n",
       "      <td>8.0</td>\n",
       "      <td>Books</td>\n",
       "      <td>6</td>\n",
       "      <td>DIY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>93274880719</td>\n",
       "      <td>271509</td>\n",
       "      <td>24-02-2014</td>\n",
       "      <td>11</td>\n",
       "      <td>6</td>\n",
       "      <td>-3</td>\n",
       "      <td>-1363</td>\n",
       "      <td>429.345</td>\n",
       "      <td>-4518.345</td>\n",
       "      <td>e-Shop</td>\n",
       "      <td>271509</td>\n",
       "      <td>08-06-1981</td>\n",
       "      <td>M</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Home and kitchen</td>\n",
       "      <td>11</td>\n",
       "      <td>Bath</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>51750724947</td>\n",
       "      <td>273420</td>\n",
       "      <td>23-02-2014</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>-2</td>\n",
       "      <td>-791</td>\n",
       "      <td>166.110</td>\n",
       "      <td>-1748.110</td>\n",
       "      <td>TeleShop</td>\n",
       "      <td>273420</td>\n",
       "      <td>27-07-1992</td>\n",
       "      <td>M</td>\n",
       "      <td>8.0</td>\n",
       "      <td>Books</td>\n",
       "      <td>6</td>\n",
       "      <td>DIY</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23048</th>\n",
       "      <td>94340757522</td>\n",
       "      <td>274550</td>\n",
       "      <td>25-01-2011</td>\n",
       "      <td>12</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>1264</td>\n",
       "      <td>132.720</td>\n",
       "      <td>1396.720</td>\n",
       "      <td>e-Shop</td>\n",
       "      <td>274550</td>\n",
       "      <td>21-02-1972</td>\n",
       "      <td>M</td>\n",
       "      <td>7.0</td>\n",
       "      <td>Books</td>\n",
       "      <td>12</td>\n",
       "      <td>Academic</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23049</th>\n",
       "      <td>89780862956</td>\n",
       "      <td>270022</td>\n",
       "      <td>25-01-2011</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>677</td>\n",
       "      <td>71.085</td>\n",
       "      <td>748.085</td>\n",
       "      <td>e-Shop</td>\n",
       "      <td>270022</td>\n",
       "      <td>27-04-1984</td>\n",
       "      <td>M</td>\n",
       "      <td>9.0</td>\n",
       "      <td>Clothing</td>\n",
       "      <td>4</td>\n",
       "      <td>Mens</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23050</th>\n",
       "      <td>85115299378</td>\n",
       "      <td>271020</td>\n",
       "      <td>25-01-2011</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>1052</td>\n",
       "      <td>441.840</td>\n",
       "      <td>4649.840</td>\n",
       "      <td>MBR</td>\n",
       "      <td>271020</td>\n",
       "      <td>20-06-1976</td>\n",
       "      <td>M</td>\n",
       "      <td>8.0</td>\n",
       "      <td>Home and kitchen</td>\n",
       "      <td>2</td>\n",
       "      <td>Furnishing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23051</th>\n",
       "      <td>72870271171</td>\n",
       "      <td>270911</td>\n",
       "      <td>25-01-2011</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>1142</td>\n",
       "      <td>359.730</td>\n",
       "      <td>3785.730</td>\n",
       "      <td>TeleShop</td>\n",
       "      <td>270911</td>\n",
       "      <td>22-05-1970</td>\n",
       "      <td>M</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Books</td>\n",
       "      <td>11</td>\n",
       "      <td>Children</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23052</th>\n",
       "      <td>77960931771</td>\n",
       "      <td>271961</td>\n",
       "      <td>25-01-2011</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>447</td>\n",
       "      <td>46.935</td>\n",
       "      <td>493.935</td>\n",
       "      <td>TeleShop</td>\n",
       "      <td>271961</td>\n",
       "      <td>15-01-1982</td>\n",
       "      <td>M</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Books</td>\n",
       "      <td>11</td>\n",
       "      <td>Children</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>23053 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       transaction_id  cust_id   tran_date  prod_subcat_code  prod_cat_code  \\\n",
       "0         80712190438   270351  28-02-2014                 1              1   \n",
       "1         29258453508   270384  27-02-2014                 5              3   \n",
       "2         51750724947   273420  24-02-2014                 6              5   \n",
       "3         93274880719   271509  24-02-2014                11              6   \n",
       "4         51750724947   273420  23-02-2014                 6              5   \n",
       "...               ...      ...         ...               ...            ...   \n",
       "23048     94340757522   274550  25-01-2011                12              5   \n",
       "23049     89780862956   270022  25-01-2011                 4              1   \n",
       "23050     85115299378   271020  25-01-2011                 2              6   \n",
       "23051     72870271171   270911  25-01-2011                11              5   \n",
       "23052     77960931771   271961  25-01-2011                11              5   \n",
       "\n",
       "       Qty  Rate      Tax  total_amt Store_type  customer_Id         DOB  \\\n",
       "0       -5  -772  405.300  -4265.300     e-Shop       270351  26-09-1981   \n",
       "1       -5 -1497  785.925  -8270.925     e-Shop       270384  11-05-1973   \n",
       "2       -2  -791  166.110  -1748.110   TeleShop       273420  27-07-1992   \n",
       "3       -3 -1363  429.345  -4518.345     e-Shop       271509  08-06-1981   \n",
       "4       -2  -791  166.110  -1748.110   TeleShop       273420  27-07-1992   \n",
       "...    ...   ...      ...        ...        ...          ...         ...   \n",
       "23048    1  1264  132.720   1396.720     e-Shop       274550  21-02-1972   \n",
       "23049    1   677   71.085    748.085     e-Shop       270022  27-04-1984   \n",
       "23050    4  1052  441.840   4649.840        MBR       271020  20-06-1976   \n",
       "23051    3  1142  359.730   3785.730   TeleShop       270911  22-05-1970   \n",
       "23052    1   447   46.935    493.935   TeleShop       271961  15-01-1982   \n",
       "\n",
       "      Gender  city_code          prod_cat  prod_sub_cat_code prod_subcat  \n",
       "0          M        5.0          Clothing                  1       Women  \n",
       "1          F        8.0       Electronics                  5   Computers  \n",
       "2          M        8.0             Books                  6         DIY  \n",
       "3          M        3.0  Home and kitchen                 11        Bath  \n",
       "4          M        8.0             Books                  6         DIY  \n",
       "...      ...        ...               ...                ...         ...  \n",
       "23048      M        7.0             Books                 12    Academic  \n",
       "23049      M        9.0          Clothing                  4        Mens  \n",
       "23050      M        8.0  Home and kitchen                  2  Furnishing  \n",
       "23051      M        2.0             Books                 11    Children  \n",
       "23052      M        1.0             Books                 11    Children  \n",
       "\n",
       "[23053 rows x 17 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "customer_final"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 23053 entries, 0 to 23052\n",
      "Data columns (total 17 columns):\n",
      "transaction_id       23053 non-null int64\n",
      "cust_id              23053 non-null int64\n",
      "tran_date            23053 non-null object\n",
      "prod_subcat_code     23053 non-null int64\n",
      "prod_cat_code        23053 non-null int64\n",
      "Qty                  23053 non-null int64\n",
      "Rate                 23053 non-null int64\n",
      "Tax                  23053 non-null float64\n",
      "total_amt            23053 non-null float64\n",
      "Store_type           23053 non-null object\n",
      "customer_Id          23053 non-null int64\n",
      "DOB                  23053 non-null object\n",
      "Gender               23044 non-null object\n",
      "city_code            23045 non-null float64\n",
      "prod_cat             23053 non-null object\n",
      "prod_sub_cat_code    23053 non-null int64\n",
      "prod_subcat          23053 non-null object\n",
      "dtypes: float64(3), int64(8), object(6)\n",
      "memory usage: 3.2+ MB\n"
     ]
    }
   ],
   "source": [
    "#Q2 Prepare a summary report for the merged data set.\n",
    "# (a) Get the column names and their corresponding data types\n",
    "customer_final.info()\n",
    "#Gender and city_code have some null values.\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>transaction_id</th>\n",
       "      <th>cust_id</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>23043</th>\n",
       "      <td>49882891062</td>\n",
       "      <td>271982</td>\n",
       "      <td>25-01-2011</td>\n",
       "      <td>10</td>\n",
       "      <td>5</td>\n",
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       "      <td>1330</td>\n",
       "      <td>558.600</td>\n",
       "      <td>5878.600</td>\n",
       "      <td>e-Shop</td>\n",
       "      <td>271982</td>\n",
       "      <td>10-08-1976</td>\n",
       "      <td>M</td>\n",
       "      <td>8.0</td>\n",
       "      <td>Books</td>\n",
       "      <td>10</td>\n",
       "      <td>Non-Fiction</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23044</th>\n",
       "      <td>14787475597</td>\n",
       "      <td>273982</td>\n",
       "      <td>25-01-2011</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>969</td>\n",
       "      <td>508.725</td>\n",
       "      <td>5353.725</td>\n",
       "      <td>e-Shop</td>\n",
       "      <td>273982</td>\n",
       "      <td>12-10-1991</td>\n",
       "      <td>M</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Electronics</td>\n",
       "      <td>4</td>\n",
       "      <td>Mobiles</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23045</th>\n",
       "      <td>50691119572</td>\n",
       "      <td>273031</td>\n",
       "      <td>25-01-2011</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>1148</td>\n",
       "      <td>120.540</td>\n",
       "      <td>1268.540</td>\n",
       "      <td>TeleShop</td>\n",
       "      <td>273031</td>\n",
       "      <td>17-01-1980</td>\n",
       "      <td>F</td>\n",
       "      <td>8.0</td>\n",
       "      <td>Books</td>\n",
       "      <td>6</td>\n",
       "      <td>DIY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23046</th>\n",
       "      <td>40893803228</td>\n",
       "      <td>272049</td>\n",
       "      <td>25-01-2011</td>\n",
       "      <td>11</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>1077</td>\n",
       "      <td>339.255</td>\n",
       "      <td>3570.255</td>\n",
       "      <td>e-Shop</td>\n",
       "      <td>272049</td>\n",
       "      <td>28-06-1975</td>\n",
       "      <td>F</td>\n",
       "      <td>6.0</td>\n",
       "      <td>Home and kitchen</td>\n",
       "      <td>11</td>\n",
       "      <td>Bath</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23047</th>\n",
       "      <td>30856003613</td>\n",
       "      <td>266866</td>\n",
       "      <td>25-01-2011</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>444</td>\n",
       "      <td>93.240</td>\n",
       "      <td>981.240</td>\n",
       "      <td>TeleShop</td>\n",
       "      <td>266866</td>\n",
       "      <td>18-04-1974</td>\n",
       "      <td>M</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Footwear</td>\n",
       "      <td>4</td>\n",
       "      <td>Kids</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23048</th>\n",
       "      <td>94340757522</td>\n",
       "      <td>274550</td>\n",
       "      <td>25-01-2011</td>\n",
       "      <td>12</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>1264</td>\n",
       "      <td>132.720</td>\n",
       "      <td>1396.720</td>\n",
       "      <td>e-Shop</td>\n",
       "      <td>274550</td>\n",
       "      <td>21-02-1972</td>\n",
       "      <td>M</td>\n",
       "      <td>7.0</td>\n",
       "      <td>Books</td>\n",
       "      <td>12</td>\n",
       "      <td>Academic</td>\n",
       "    </tr>\n",
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       "      <th>23049</th>\n",
       "      <td>89780862956</td>\n",
       "      <td>270022</td>\n",
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       "      <td>4</td>\n",
       "      <td>1</td>\n",
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       "      <td>270022</td>\n",
       "      <td>27-04-1984</td>\n",
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       "      <td>9.0</td>\n",
       "      <td>Clothing</td>\n",
       "      <td>4</td>\n",
       "      <td>Mens</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23050</th>\n",
       "      <td>85115299378</td>\n",
       "      <td>271020</td>\n",
       "      <td>25-01-2011</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>1052</td>\n",
       "      <td>441.840</td>\n",
       "      <td>4649.840</td>\n",
       "      <td>MBR</td>\n",
       "      <td>271020</td>\n",
       "      <td>20-06-1976</td>\n",
       "      <td>M</td>\n",
       "      <td>8.0</td>\n",
       "      <td>Home and kitchen</td>\n",
       "      <td>2</td>\n",
       "      <td>Furnishing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23051</th>\n",
       "      <td>72870271171</td>\n",
       "      <td>270911</td>\n",
       "      <td>25-01-2011</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>1142</td>\n",
       "      <td>359.730</td>\n",
       "      <td>3785.730</td>\n",
       "      <td>TeleShop</td>\n",
       "      <td>270911</td>\n",
       "      <td>22-05-1970</td>\n",
       "      <td>M</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Books</td>\n",
       "      <td>11</td>\n",
       "      <td>Children</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23052</th>\n",
       "      <td>77960931771</td>\n",
       "      <td>271961</td>\n",
       "      <td>25-01-2011</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>447</td>\n",
       "      <td>46.935</td>\n",
       "      <td>493.935</td>\n",
       "      <td>TeleShop</td>\n",
       "      <td>271961</td>\n",
       "      <td>15-01-1982</td>\n",
       "      <td>M</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Books</td>\n",
       "      <td>11</td>\n",
       "      <td>Children</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       transaction_id  cust_id   tran_date  prod_subcat_code  prod_cat_code  \\\n",
       "23043     49882891062   271982  25-01-2011                10              5   \n",
       "23044     14787475597   273982  25-01-2011                 4              3   \n",
       "23045     50691119572   273031  25-01-2011                 6              5   \n",
       "23046     40893803228   272049  25-01-2011                11              6   \n",
       "23047     30856003613   266866  25-01-2011                 4              2   \n",
       "23048     94340757522   274550  25-01-2011                12              5   \n",
       "23049     89780862956   270022  25-01-2011                 4              1   \n",
       "23050     85115299378   271020  25-01-2011                 2              6   \n",
       "23051     72870271171   270911  25-01-2011                11              5   \n",
       "23052     77960931771   271961  25-01-2011                11              5   \n",
       "\n",
       "       Qty  Rate      Tax  total_amt Store_type  customer_Id         DOB  \\\n",
       "23043    4  1330  558.600   5878.600     e-Shop       271982  10-08-1976   \n",
       "23044    5   969  508.725   5353.725     e-Shop       273982  12-10-1991   \n",
       "23045    1  1148  120.540   1268.540   TeleShop       273031  17-01-1980   \n",
       "23046    3  1077  339.255   3570.255     e-Shop       272049  28-06-1975   \n",
       "23047    2   444   93.240    981.240   TeleShop       266866  18-04-1974   \n",
       "23048    1  1264  132.720   1396.720     e-Shop       274550  21-02-1972   \n",
       "23049    1   677   71.085    748.085     e-Shop       270022  27-04-1984   \n",
       "23050    4  1052  441.840   4649.840        MBR       271020  20-06-1976   \n",
       "23051    3  1142  359.730   3785.730   TeleShop       270911  22-05-1970   \n",
       "23052    1   447   46.935    493.935   TeleShop       271961  15-01-1982   \n",
       "\n",
       "      Gender  city_code          prod_cat  prod_sub_cat_code  prod_subcat  \n",
       "23043      M        8.0             Books                 10  Non-Fiction  \n",
       "23044      M        4.0       Electronics                  4      Mobiles  \n",
       "23045      F        8.0             Books                  6          DIY  \n",
       "23046      F        6.0  Home and kitchen                 11         Bath  \n",
       "23047      M        4.0          Footwear                  4         Kids  \n",
       "23048      M        7.0             Books                 12     Academic  \n",
       "23049      M        9.0          Clothing                  4         Mens  \n",
       "23050      M        8.0  Home and kitchen                  2   Furnishing  \n",
       "23051      M        2.0             Books                 11     Children  \n",
       "23052      M        1.0             Books                 11     Children  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#b. Top/Bottom 10 observations\n",
    "\n",
    "#Top 10 Observations\n",
    "customer_final.head(10)\n",
    "\n",
    "#Bottom 10 Observations\n",
    "customer_final.tail(10)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .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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       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>transaction_id</th>\n",
       "      <th>cust_id</th>\n",
       "      <th>prod_subcat_code</th>\n",
       "      <th>prod_cat_code</th>\n",
       "      <th>Qty</th>\n",
       "      <th>Rate</th>\n",
       "      <th>Tax</th>\n",
       "      <th>total_amt</th>\n",
       "      <th>customer_Id</th>\n",
       "      <th>city_code</th>\n",
       "      <th>prod_sub_cat_code</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>2.305300e+04</td>\n",
       "      <td>23053.000000</td>\n",
       "      <td>23053.000000</td>\n",
       "      <td>23053.000000</td>\n",
       "      <td>23053.000000</td>\n",
       "      <td>23053.000000</td>\n",
       "      <td>23053.000000</td>\n",
       "      <td>23053.000000</td>\n",
       "      <td>23053.000000</td>\n",
       "      <td>23045.000000</td>\n",
       "      <td>23053.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>5.007348e+10</td>\n",
       "      <td>271021.746497</td>\n",
       "      <td>6.149091</td>\n",
       "      <td>3.763632</td>\n",
       "      <td>2.432395</td>\n",
       "      <td>636.369713</td>\n",
       "      <td>248.667192</td>\n",
       "      <td>2107.308002</td>\n",
       "      <td>271021.746497</td>\n",
       "      <td>5.482534</td>\n",
       "      <td>6.149091</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>2.898194e+10</td>\n",
       "      <td>2431.692059</td>\n",
       "      <td>3.726372</td>\n",
       "      <td>1.677016</td>\n",
       "      <td>2.268406</td>\n",
       "      <td>622.363498</td>\n",
       "      <td>187.177773</td>\n",
       "      <td>2507.561264</td>\n",
       "      <td>2431.692059</td>\n",
       "      <td>2.863499</td>\n",
       "      <td>3.726372</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>3.268991e+06</td>\n",
       "      <td>266783.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-5.000000</td>\n",
       "      <td>-1499.000000</td>\n",
       "      <td>7.350000</td>\n",
       "      <td>-8270.925000</td>\n",
       "      <td>266783.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2.493864e+10</td>\n",
       "      <td>268935.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>312.000000</td>\n",
       "      <td>98.280000</td>\n",
       "      <td>762.450000</td>\n",
       "      <td>268935.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>5.009313e+10</td>\n",
       "      <td>270980.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>710.000000</td>\n",
       "      <td>199.080000</td>\n",
       "      <td>1754.740000</td>\n",
       "      <td>270980.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>5.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>7.533000e+10</td>\n",
       "      <td>273114.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>1109.000000</td>\n",
       "      <td>365.715000</td>\n",
       "      <td>3569.150000</td>\n",
       "      <td>273114.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>10.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>9.998755e+10</td>\n",
       "      <td>275265.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1500.000000</td>\n",
       "      <td>787.500000</td>\n",
       "      <td>8287.500000</td>\n",
       "      <td>275265.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>12.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       transaction_id        cust_id  prod_subcat_code  prod_cat_code  \\\n",
       "count    2.305300e+04   23053.000000      23053.000000   23053.000000   \n",
       "mean     5.007348e+10  271021.746497          6.149091       3.763632   \n",
       "std      2.898194e+10    2431.692059          3.726372       1.677016   \n",
       "min      3.268991e+06  266783.000000          1.000000       1.000000   \n",
       "25%      2.493864e+10  268935.000000          3.000000       2.000000   \n",
       "50%      5.009313e+10  270980.000000          5.000000       4.000000   \n",
       "75%      7.533000e+10  273114.000000         10.000000       5.000000   \n",
       "max      9.998755e+10  275265.000000         12.000000       6.000000   \n",
       "\n",
       "                Qty          Rate           Tax     total_amt    customer_Id  \\\n",
       "count  23053.000000  23053.000000  23053.000000  23053.000000   23053.000000   \n",
       "mean       2.432395    636.369713    248.667192   2107.308002  271021.746497   \n",
       "std        2.268406    622.363498    187.177773   2507.561264    2431.692059   \n",
       "min       -5.000000  -1499.000000      7.350000  -8270.925000  266783.000000   \n",
       "25%        1.000000    312.000000     98.280000    762.450000  268935.000000   \n",
       "50%        3.000000    710.000000    199.080000   1754.740000  270980.000000   \n",
       "75%        4.000000   1109.000000    365.715000   3569.150000  273114.000000   \n",
       "max        5.000000   1500.000000    787.500000   8287.500000  275265.000000   \n",
       "\n",
       "          city_code  prod_sub_cat_code  \n",
       "count  23045.000000       23053.000000  \n",
       "mean       5.482534           6.149091  \n",
       "std        2.863499           3.726372  \n",
       "min        1.000000           1.000000  \n",
       "25%        3.000000           3.000000  \n",
       "50%        5.000000           5.000000  \n",
       "75%        8.000000          10.000000  \n",
       "max       10.000000          12.000000  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#c. “Five-number summary” for continuous variables (min, Q1, median, Q3 and max)\n",
    "#11 continous and 6 categorical variables.\n",
    "\n",
    "customer_final.select_dtypes(include = ['float64','int64']).describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tran_date      23053\n",
       "Store_type     23053\n",
       "DOB            23053\n",
       "Gender         23044\n",
       "prod_cat       23053\n",
       "prod_subcat    23053\n",
       "dtype: int64"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#d. Frequency tables for all the categorical variables\n",
    "#6 Categorical variables\n",
    "\n",
    "customer_final.select_dtypes(include = ['object']).count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\shaur\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:4: FutureWarning: `Series.plot()` should not be called with positional arguments, only keyword arguments. The order of positional arguments will change in the future. Use `Series.plot(kind='hist')` instead of `Series.plot('hist',)`.\n",
      "  after removing the cwd from sys.path.\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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BkhwDnAO8sq3zySSL2vdSfQI4EzgGeHMbK0maQ4Pewb3XqurbSZYPOHwVcEVVPQ7ck2QcOKEtG6+qHwIkuaKNvXOW25UkzWAU5yzekeT2dpjqsFZbCtzfN2ai1aar7yHJmiSbk2zeuXPnMPqWpAVrrsPiUuAXgGOB7cCHWz1TjK0Z6nsWq9ZV1VhVjS1evHg2epUkNUM7DDWVqnpgcjrJp4Br2uwEcGTf0GXAtjY9XV2SNEfmdM8iyZK+2TcCk1dKbQTOSfKcJEcDK4CbgVuAFUmOTvJseifBN85lz5KkIe5ZJPkCcApwRJIJ4L3AKUmOpXco6V7g1wGqakuSK+mduN4FnN8eukSSdwDXAYuA9VW1ZVg9S5KmNsyrod48RfmyGcZfBFw0Rf1a4NpZbE2StJe8g1uS1MmwkCR1MiwkSZ0MC0lSJ8NCktTJsJAkdTIsJEmdDAtJUifDQpLUybCQJHUyLCRJnQwLSVInw0KS1MmwkCR1MiwkSZ0MC0lSp6GFRZL1SXYkuaOvdniSTUnubj8Pa/Uk+ViS8SS3Jzm+b53VbfzdSVYPq19J0vSG9qQ84DPAx4HL+2prgeur6uIka9v8BcCZ9J67vQI4EbgUODHJ4fQexzpG71GstybZWFUPDbFvaaiWr/3qSD733otfN5LP1f5haHsWVfVt4MHdyquADW16A3B2X/3y6rkRODTJEuAMYFNVPdgCYhOwclg9S5KmNtfnLF5cVdsB2s8XtfpS4P6+cROtNl19D0nWJNmcZPPOnTtnvXFJWsiGeRhqb2SKWs1Q37NYtQ5YBzA2NjblGGnSqA4FLVT+9973zXVYPJBkSVVtb4eZdrT6BHBk37hlwLZWP2W3+g1z0KfmiL9E5o7/rfVMzPVhqI3A5BVNq4Gr++pva1dFnQQ83A5TXQecnuSwduXU6a0mSZpDQ9uzSPIFensFRySZoHdV08XAlUnOA+4D3tSGXwucBYwDjwHnAlTVg0k+ANzSxr2/qnY/aS5JGrKhhUVVvXmaRadNMbaA86d5n/XA+llsTZK0l7yDW5LUybCQJHUyLCRJnQwLSVInw0KS1MmwkCR1MiwkSZ0MC0lSJ8NCktTJsJAkdTIsJEmdDAtJUifDQpLUybCQJHUyLCRJnQwLSVKnkYRFknuTfD/JbUk2t9rhSTYlubv9PKzVk+RjScaT3J7k+FH0LEkL2Sj3LH6lqo6tqrE2vxa4vqpWANe3eYAzgRXttQa4dM47laQFbj4dhloFbGjTG4Cz++qXV8+NwKFJloyiQUlaqEYVFgV8PcmtSda02ourajtA+/miVl8K3N+37kSrPUWSNUk2J9m8c+fOIbYuSQvPASP63JOraluSFwGbkvxghrGZolZ7FKrWAesAxsbG9lguSXr6RrJnUVXb2s8dwFeAE4AHJg8vtZ872vAJ4Mi+1ZcB2+auW0nSnIdFkuclOWRyGjgduAPYCKxuw1YDV7fpjcDb2lVRJwEPTx6ukiTNjVEchnox8JUkk5//+ar60yS3AFcmOQ+4D3hTG38tcBYwDjwGnDv3LUvSwjbnYVFVPwRePUX9r4DTpqgXcP4ctCZJmsZ8unRWkjRPGRaSpE6GhSSpk2EhSepkWEiSOhkWkqROhoUkqZNhIUnqZFhIkjoZFpKkToaFJKmTYSFJ6mRYSJI6GRaSpE6GhSSpk2EhSepkWEiSOu0zYZFkZZK7kownWTvqfiRpIdknwiLJIuATwJnAMcCbkxwz2q4kaeHYJ8ICOAEYr6ofVtUTwBXAqhH3JEkLxgGjbmBAS4H7++YngBP7ByRZA6xps48muWuOenumjgD+ctRNDNH+vH1u275rv92+fPAZbdvPT7dgXwmLTFGrp8xUrQPWzU07syfJ5qoaG3Ufw7I/b5/btu/an7dvWNu2rxyGmgCO7JtfBmwbUS+StODsK2FxC7AiydFJng2cA2wccU+StGDsE4ehqmpXkncA1wGLgPVVtWXEbc2Wfe7Q2V7an7fPbdt37c/bN5RtS1V1j5IkLWj7ymEoSdIIGRaSpE6GxYgkOTLJt5JsTbIlyTtH3dNsS7IoyfeSXDPqXmZbkkOTXJXkB+3/4T8edU+zJcl/af8m70jyhSQHjbqnZyLJ+iQ7ktzRVzs8yaYkd7efh42yx6drmm37n+3f5e1JvpLk0Nn4LMNidHYB766qXwROAs7fD7/C5J3A1lE3MSS/B/xpVb0CeDX7yXYmWQr8BjBWVa+id0HJOaPt6hn7DLByt9pa4PqqWgFc3+b3RZ9hz23bBLyqqn4J+N/AhbPxQYbFiFTV9qr6bpv+Cb1fNktH29XsSbIMeB3w6VH3MtuSvAD458BlAFX1RFX9eLRdzaoDgIOTHAA8l338nqaq+jbw4G7lVcCGNr0BOHtOm5olU21bVX29qna12Rvp3Zf2jBkW80CS5cBxwE2j7WRWfRT4TeBvR93IELwU2An8YTvM9ukkzxt1U7Ohqn4EfAi4D9gOPFxVXx9tV0Px4qraDr0/3IAXjbifYfn3wNdm440MixFL8nzgS8C7quqRUfczG5K8HthRVbeOupchOQA4Hri0qo4Dfsq+exjjKdqx+1XA0cBLgOcl+bej7UpPR5L/Tu9w9+dm4/0MixFKciC9oPhcVX151P3MopOBNyS5l943BJ+a5I9G29KsmgAmqmpyT/AqeuGxP3gNcE9V7ayqvwG+DPyTEfc0DA8kWQLQfu4YcT+zKslq4PXAW2qWbqYzLEYkSegd895aVR8ZdT+zqaourKplVbWc3snRb1bVfvPXaVX9P+D+JC9vpdOAO0fY0my6DzgpyXPbv9HT2E9O3u9mI7C6Ta8Grh5hL7MqyUrgAuANVfXYbL2vYTE6JwNvpfdX923tddaom9LA/jPwuSS3A8cCvzvifmZF21u6Cvgu8H16vyP26a/GSPIF4M+BlyeZSHIecDHw2iR3A69t8/ucabbt48AhwKb2e+X3Z+Wz/LoPSVIX9ywkSZ0MC0lSJ8NCktTJsJAkdTIsJEmdDAtJUifDQpLU6f8D9r+eJzR9BlMAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "transaction_id       None\n",
       "cust_id              None\n",
       "prod_subcat_code     None\n",
       "prod_cat_code        None\n",
       "Qty                  None\n",
       "Rate                 None\n",
       "Tax                  None\n",
       "total_amt            None\n",
       "customer_Id          None\n",
       "city_code            None\n",
       "prod_sub_cat_code    None\n",
       "dtype: object"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Q3. Generate histograms for all continuous variables and frequency bars for categorical variables.\n",
    "#Continous Variables\n",
    "def fn_hist(x):\n",
    "    x.plot('hist')\n",
    "    plt.show()\n",
    "    \n",
    "customer_final.select_dtypes(['int64', 'float64']).apply(lambda x: fn_hist(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tran_date      None\n",
       "Store_type     None\n",
       "DOB            None\n",
       "Gender         None\n",
       "prod_cat       None\n",
       "prod_subcat    None\n",
       "dtype: object"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Categorical Variables\n",
    "\n",
    "def fn_count(x):\n",
    "   sns.countplot(x)\n",
    "customer_final.select_dtypes(['object']).apply(lambda x: fn_count(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Q4 Calculate the following information using the merged dataset :"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Timedelta('1430 days 00:00:00')"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#a. Time period of the available transaction data\n",
    "#I have converted these dates to datetime and then done the operations.\n",
    "#1st method:\n",
    "#pd.to_datetime(customer_final.loc[0,'tran_date']) - pd.to_datetime(customer_final.loc[23052,'tran_date'])\n",
    "\n",
    "\n",
    "#2nd more efficent method of using max() and min() functions.\n",
    "pd.to_datetime(customer_final.tran_date).max() - pd.to_datetime(customer_final.tran_date).min()"
   ]
  },
  {
   "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>transaction_id</th>\n",
       "      <th>cust_id</th>\n",
       "      <th>tran_date</th>\n",
       "      <th>prod_subcat_code</th>\n",
       "      <th>prod_cat_code</th>\n",
       "      <th>Qty</th>\n",
       "      <th>Rate</th>\n",
       "      <th>Tax</th>\n",
       "      <th>total_amt</th>\n",
       "      <th>Store_type</th>\n",
       "      <th>customer_Id</th>\n",
       "      <th>DOB</th>\n",
       "      <th>Gender</th>\n",
       "      <th>city_code</th>\n",
       "      <th>prod_cat</th>\n",
       "      <th>prod_sub_cat_code</th>\n",
       "      <th>prod_subcat</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>80712190438</td>\n",
       "      <td>270351</td>\n",
       "      <td>28-02-2014</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>-5</td>\n",
       "      <td>-772</td>\n",
       "      <td>405.300</td>\n",
       "      <td>-4265.300</td>\n",
       "      <td>e-Shop</td>\n",
       "      <td>270351</td>\n",
       "      <td>26-09-1981</td>\n",
       "      <td>M</td>\n",
       "      <td>5.0</td>\n",
       "      <td>Clothing</td>\n",
       "      <td>1</td>\n",
       "      <td>Women</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>29258453508</td>\n",
       "      <td>270384</td>\n",
       "      <td>27-02-2014</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>-5</td>\n",
       "      <td>-1497</td>\n",
       "      <td>785.925</td>\n",
       "      <td>-8270.925</td>\n",
       "      <td>e-Shop</td>\n",
       "      <td>270384</td>\n",
       "      <td>11-05-1973</td>\n",
       "      <td>F</td>\n",
       "      <td>8.0</td>\n",
       "      <td>Electronics</td>\n",
       "      <td>5</td>\n",
       "      <td>Computers</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>51750724947</td>\n",
       "      <td>273420</td>\n",
       "      <td>24-02-2014</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>-2</td>\n",
       "      <td>-791</td>\n",
       "      <td>166.110</td>\n",
       "      <td>-1748.110</td>\n",
       "      <td>TeleShop</td>\n",
       "      <td>273420</td>\n",
       "      <td>27-07-1992</td>\n",
       "      <td>M</td>\n",
       "      <td>8.0</td>\n",
       "      <td>Books</td>\n",
       "      <td>6</td>\n",
       "      <td>DIY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>93274880719</td>\n",
       "      <td>271509</td>\n",
       "      <td>24-02-2014</td>\n",
       "      <td>11</td>\n",
       "      <td>6</td>\n",
       "      <td>-3</td>\n",
       "      <td>-1363</td>\n",
       "      <td>429.345</td>\n",
       "      <td>-4518.345</td>\n",
       "      <td>e-Shop</td>\n",
       "      <td>271509</td>\n",
       "      <td>08-06-1981</td>\n",
       "      <td>M</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Home and kitchen</td>\n",
       "      <td>11</td>\n",
       "      <td>Bath</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>51750724947</td>\n",
       "      <td>273420</td>\n",
       "      <td>23-02-2014</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>-2</td>\n",
       "      <td>-791</td>\n",
       "      <td>166.110</td>\n",
       "      <td>-1748.110</td>\n",
       "      <td>TeleShop</td>\n",
       "      <td>273420</td>\n",
       "      <td>27-07-1992</td>\n",
       "      <td>M</td>\n",
       "      <td>8.0</td>\n",
       "      <td>Books</td>\n",
       "      <td>6</td>\n",
       "      <td>DIY</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22919</th>\n",
       "      <td>42161597232</td>\n",
       "      <td>267094</td>\n",
       "      <td>31-01-2011</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>-3</td>\n",
       "      <td>-147</td>\n",
       "      <td>46.305</td>\n",
       "      <td>-487.305</td>\n",
       "      <td>MBR</td>\n",
       "      <td>267094</td>\n",
       "      <td>24-11-1992</td>\n",
       "      <td>M</td>\n",
       "      <td>9.0</td>\n",
       "      <td>Clothing</td>\n",
       "      <td>3</td>\n",
       "      <td>Kids</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22926</th>\n",
       "      <td>72870271171</td>\n",
       "      <td>270911</td>\n",
       "      <td>31-01-2011</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>-3</td>\n",
       "      <td>-1142</td>\n",
       "      <td>359.730</td>\n",
       "      <td>-3785.730</td>\n",
       "      <td>TeleShop</td>\n",
       "      <td>270911</td>\n",
       "      <td>22-05-1970</td>\n",
       "      <td>M</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Books</td>\n",
       "      <td>11</td>\n",
       "      <td>Children</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22929</th>\n",
       "      <td>90114483354</td>\n",
       "      <td>268097</td>\n",
       "      <td>31-01-2011</td>\n",
       "      <td>10</td>\n",
       "      <td>5</td>\n",
       "      <td>-4</td>\n",
       "      <td>-1408</td>\n",
       "      <td>591.360</td>\n",
       "      <td>-6223.360</td>\n",
       "      <td>e-Shop</td>\n",
       "      <td>268097</td>\n",
       "      <td>15-12-1992</td>\n",
       "      <td>F</td>\n",
       "      <td>7.0</td>\n",
       "      <td>Books</td>\n",
       "      <td>10</td>\n",
       "      <td>Non-Fiction</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22977</th>\n",
       "      <td>99568595128</td>\n",
       "      <td>273973</td>\n",
       "      <td>29-01-2011</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>-3</td>\n",
       "      <td>-203</td>\n",
       "      <td>63.945</td>\n",
       "      <td>-672.945</td>\n",
       "      <td>e-Shop</td>\n",
       "      <td>273973</td>\n",
       "      <td>16-04-1992</td>\n",
       "      <td>F</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Footwear</td>\n",
       "      <td>4</td>\n",
       "      <td>Kids</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23007</th>\n",
       "      <td>71176929896</td>\n",
       "      <td>269201</td>\n",
       "      <td>27-01-2011</td>\n",
       "      <td>8</td>\n",
       "      <td>3</td>\n",
       "      <td>-5</td>\n",
       "      <td>-295</td>\n",
       "      <td>154.875</td>\n",
       "      <td>-1629.875</td>\n",
       "      <td>Flagship store</td>\n",
       "      <td>269201</td>\n",
       "      <td>02-03-1991</td>\n",
       "      <td>M</td>\n",
       "      <td>9.0</td>\n",
       "      <td>Electronics</td>\n",
       "      <td>8</td>\n",
       "      <td>Personal Appliances</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2177 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       transaction_id  cust_id   tran_date  prod_subcat_code  prod_cat_code  \\\n",
       "0         80712190438   270351  28-02-2014                 1              1   \n",
       "1         29258453508   270384  27-02-2014                 5              3   \n",
       "2         51750724947   273420  24-02-2014                 6              5   \n",
       "3         93274880719   271509  24-02-2014                11              6   \n",
       "4         51750724947   273420  23-02-2014                 6              5   \n",
       "...               ...      ...         ...               ...            ...   \n",
       "22919     42161597232   267094  31-01-2011                 3              1   \n",
       "22926     72870271171   270911  31-01-2011                11              5   \n",
       "22929     90114483354   268097  31-01-2011                10              5   \n",
       "22977     99568595128   273973  29-01-2011                 4              2   \n",
       "23007     71176929896   269201  27-01-2011                 8              3   \n",
       "\n",
       "       Qty  Rate      Tax  total_amt      Store_type  customer_Id         DOB  \\\n",
       "0       -5  -772  405.300  -4265.300          e-Shop       270351  26-09-1981   \n",
       "1       -5 -1497  785.925  -8270.925          e-Shop       270384  11-05-1973   \n",
       "2       -2  -791  166.110  -1748.110        TeleShop       273420  27-07-1992   \n",
       "3       -3 -1363  429.345  -4518.345          e-Shop       271509  08-06-1981   \n",
       "4       -2  -791  166.110  -1748.110        TeleShop       273420  27-07-1992   \n",
       "...    ...   ...      ...        ...             ...          ...         ...   \n",
       "22919   -3  -147   46.305   -487.305             MBR       267094  24-11-1992   \n",
       "22926   -3 -1142  359.730  -3785.730        TeleShop       270911  22-05-1970   \n",
       "22929   -4 -1408  591.360  -6223.360          e-Shop       268097  15-12-1992   \n",
       "22977   -3  -203   63.945   -672.945          e-Shop       273973  16-04-1992   \n",
       "23007   -5  -295  154.875  -1629.875  Flagship store       269201  02-03-1991   \n",
       "\n",
       "      Gender  city_code          prod_cat  prod_sub_cat_code  \\\n",
       "0          M        5.0          Clothing                  1   \n",
       "1          F        8.0       Electronics                  5   \n",
       "2          M        8.0             Books                  6   \n",
       "3          M        3.0  Home and kitchen                 11   \n",
       "4          M        8.0             Books                  6   \n",
       "...      ...        ...               ...                ...   \n",
       "22919      M        9.0          Clothing                  3   \n",
       "22926      M        2.0             Books                 11   \n",
       "22929      F        7.0             Books                 10   \n",
       "22977      F        2.0          Footwear                  4   \n",
       "23007      M        9.0       Electronics                  8   \n",
       "\n",
       "               prod_subcat  \n",
       "0                    Women  \n",
       "1                Computers  \n",
       "2                      DIY  \n",
       "3                     Bath  \n",
       "4                      DIY  \n",
       "...                    ...  \n",
       "22919                 Kids  \n",
       "22926             Children  \n",
       "22929          Non-Fiction  \n",
       "22977                 Kids  \n",
       "23007  Personal Appliances  \n",
       "\n",
       "[2177 rows x 17 columns]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#b. Count of transactions where the total amount of transaction was negative\n",
    "\n",
    "customer_final[customer_final.Qty < 0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "#5. Analyze which product categories are more popular among females vs male customers.\n",
    "#Filtering the dataset with the genders\n",
    "a = customer_final[customer_final.Gender == 'F']\n",
    "b = customer_final[customer_final.Gender == 'M']\n",
    "c = customer_final.Gender.count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "prod_cat\n",
       "Bags                 994\n",
       "Books               2949\n",
       "Clothing            1439\n",
       "Electronics         2328\n",
       "Footwear            1529\n",
       "Home and kitchen    1994\n",
       "Name: Qty, dtype: int64"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a.groupby('prod_cat').Qty.count()\n",
    "#Products bought per category by Females\n",
    "#11811 Quantity for Females"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "prod_cat\n",
       "Bags                1004\n",
       "Books               3116\n",
       "Clothing            1518\n",
       "Electronics         2570\n",
       "Footwear            1469\n",
       "Home and kitchen    2134\n",
       "Name: Qty, dtype: int64"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "b.groupby('prod_cat').Qty.count()\n",
    "#Products bought per category by Males\n",
    "#Quantity 11233 for Males"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Answer: Footwear is more popular among women."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "transaction_id       10.509872\n",
       "cust_id              10.509872\n",
       "tran_date            10.509872\n",
       "prod_subcat_code     10.509872\n",
       "prod_cat_code        10.509872\n",
       "Qty                  10.509872\n",
       "Rate                 10.509872\n",
       "Tax                  10.509872\n",
       "total_amt            10.509872\n",
       "Store_type           10.509872\n",
       "customer_Id          10.509872\n",
       "DOB                  10.509872\n",
       "Gender               10.513978\n",
       "prod_cat             10.509872\n",
       "prod_sub_cat_code    10.509872\n",
       "prod_subcat          10.509872\n",
       "dtype: float64"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#6. Which City code has the maximum customers and what was the percentage of customers from that city?\n",
    "\n",
    "customer_final.groupby('city_code').count()\n",
    "#city_code 4\n",
    "\n",
    "a = customer_final.groupby('city_code').count().max()\n",
    "#2422 is the maximum customers per City Code.\n",
    "\n",
    "b = customer_final.groupby('city_code').count().sum()\n",
    "#Total customers\n",
    "\n",
    "c = a/b * 100\n",
    "c\n",
    "\n",
    "#10.5% customers from that city."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "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>Store_type</th>\n",
       "      <th>Qty</th>\n",
       "      <th>total_amt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6864</th>\n",
       "      <td>e-Shop</td>\n",
       "      <td>5</td>\n",
       "      <td>8287.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Store_type  Qty  total_amt\n",
       "6864     e-Shop    5     8287.5"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#7. Which store type sells the maximum products by value and by quantity?\n",
    "\n",
    "customer_final.sort_values(['Qty','total_amt'], ascending = False).head(1).loc[:,['Store_type','Qty','total_amt']]\n",
    "\n",
    "#e-Shop sells the maximum products by value and by quantity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3409559.27"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 8. What was the total amount earned from the \"Electronics\" and \"Clothing\" categories from Flagship Store\n",
    "\n",
    "\n",
    "a = customer_final[(customer_final.prod_cat =='Electronics') | (customer_final.prod_cat =='Clothing')] \n",
    "\n",
    "a[a.Store_type == 'Flagship store'].total_amt.sum()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5703109.424999999"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 9. What was the total amount earned from \"Male\" customers under the \"Electronics\" category?\n",
    "\n",
    "customer_final[(customer_final.Gender =='M') & (customer_final.prod_cat =='Electronics')].total_amt.sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "cust_id\n",
       "266794    11\n",
       "270535    11\n",
       "270803    11\n",
       "272741    11\n",
       "273014    11\n",
       "274227    11\n",
       "Name: Qty, dtype: int64"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#10. How many customers have more than 10 unique transactions, after removing all transactions which have any negative amounts?\n",
    "\n",
    "#customer_final.drop(labels = 'total_amt' > 0)\n",
    "\n",
    "a = customer_final[customer_final.total_amt > 0]\n",
    "\n",
    "b = a.groupby('cust_id').Qty.count()\n",
    "b[b > 10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Q11. 11. For all customers aged between 25 - 35, find out:\n",
    "#a. What was the total amount spent for “Electronics” and “Books” product categories?\n",
    "#b. What was the total amount spent by these customers between 1st Jan, 2014 to 1st Mar, 2014?\n",
    "\n",
    "a =  pd.to_datetime(customer_final.DOB)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       1981-09-26\n",
       "1       1973-11-05\n",
       "2       1992-07-27\n",
       "3       1981-08-06\n",
       "4       1992-07-27\n",
       "           ...    \n",
       "23048   1972-02-21\n",
       "23049   1984-04-27\n",
       "23050   1976-06-20\n",
       "23051   1970-05-22\n",
       "23052   1982-01-15\n",
       "Name: DOB, Length: 23053, dtype: datetime64[ns]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc[:.'DOB'].applymap(lambda x: x*10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "b = pd.Timestamp.today() - pd.to_datetime(customer_final.DOB)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       14034 days 17:16:16.055031\n",
       "1       16916 days 17:16:16.055031\n",
       "2       10077 days 17:16:16.055031\n",
       "3       14085 days 17:16:16.055031\n",
       "4       10077 days 17:16:16.055031\n",
       "                   ...            \n",
       "23048   17539 days 17:16:16.055031\n",
       "23049   13090 days 17:16:16.055031\n",
       "23050   15958 days 17:16:16.055031\n",
       "23051   18179 days 17:16:16.055031\n",
       "23052   13923 days 17:16:16.055031\n",
       "Name: DOB, Length: 23053, dtype: timedelta64[ns]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0        <method 'time' of 'datetime.datetime' objects>\n",
       "1        <method 'time' of 'datetime.datetime' objects>\n",
       "2        <method 'time' of 'datetime.datetime' objects>\n",
       "3        <method 'time' of 'datetime.datetime' objects>\n",
       "4        <method 'time' of 'datetime.datetime' objects>\n",
       "                              ...                      \n",
       "23048    <method 'time' of 'datetime.datetime' objects>\n",
       "23049    <method 'time' of 'datetime.datetime' objects>\n",
       "23050    <method 'time' of 'datetime.datetime' objects>\n",
       "23051    <method 'time' of 'datetime.datetime' objects>\n",
       "23052    <method 'time' of 'datetime.datetime' objects>\n",
       "Name: DOB, Length: 23053, dtype: object"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "customer_final.DOB.apply(lambda x: dt.time)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "b = customer_final.DOB.apply(lambda x: pd.to_datetime(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {},
   "outputs": [],
   "source": [
    "customer_final['Age'] = pd.Timestamp.today() - pd.to_datetime(customer_final.DOB)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       14034 days 17:45:11.274398\n",
       "1       16916 days 17:45:11.274398\n",
       "2       10077 days 17:45:11.274398\n",
       "3       14085 days 17:45:11.274398\n",
       "4       10077 days 17:45:11.274398\n",
       "                   ...            \n",
       "23048   17539 days 17:45:11.274398\n",
       "23049   13090 days 17:45:11.274398\n",
       "23050   15958 days 17:45:11.274398\n",
       "23051   18179 days 17:45:11.274398\n",
       "23052   13923 days 17:45:11.274398\n",
       "Name: Age, Length: 23053, dtype: timedelta64[ns]"
      ]
     },
     "execution_count": 109,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "customer_final.Age"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {},
   "outputs": [],
   "source": [
    "customer_final['Age'] = customer_final.Age/365.25"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "9131.25"
      ]
     },
     "execution_count": 118,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "25 * 365.25"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "12783.75"
      ]
     },
     "execution_count": 119,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "35 * 365.25"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "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>transaction_id</th>\n",
       "      <th>cust_id</th>\n",
       "      <th>tran_date</th>\n",
       "      <th>prod_subcat_code</th>\n",
       "      <th>prod_cat_code</th>\n",
       "      <th>Qty</th>\n",
       "      <th>Rate</th>\n",
       "      <th>Tax</th>\n",
       "      <th>total_amt</th>\n",
       "      <th>Store_type</th>\n",
       "      <th>customer_Id</th>\n",
       "      <th>DOB</th>\n",
       "      <th>Gender</th>\n",
       "      <th>city_code</th>\n",
       "      <th>prod_cat</th>\n",
       "      <th>prod_sub_cat_code</th>\n",
       "      <th>prod_subcat</th>\n",
       "      <th>Age</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>80712190438</td>\n",
       "      <td>270351</td>\n",
       "      <td>28-02-2014</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>-5</td>\n",
       "      <td>-772</td>\n",
       "      <td>405.300</td>\n",
       "      <td>-4265.300</td>\n",
       "      <td>e-Shop</td>\n",
       "      <td>270351</td>\n",
       "      <td>26-09-1981</td>\n",
       "      <td>M</td>\n",
       "      <td>5.0</td>\n",
       "      <td>Clothing</td>\n",
       "      <td>1</td>\n",
       "      <td>Women</td>\n",
       "      <td>14034 days 17:45:11.274398</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>29258453508</td>\n",
       "      <td>270384</td>\n",
       "      <td>27-02-2014</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>-5</td>\n",
       "      <td>-1497</td>\n",
       "      <td>785.925</td>\n",
       "      <td>-8270.925</td>\n",
       "      <td>e-Shop</td>\n",
       "      <td>270384</td>\n",
       "      <td>11-05-1973</td>\n",
       "      <td>F</td>\n",
       "      <td>8.0</td>\n",
       "      <td>Electronics</td>\n",
       "      <td>5</td>\n",
       "      <td>Computers</td>\n",
       "      <td>16916 days 17:45:11.274398</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>51750724947</td>\n",
       "      <td>273420</td>\n",
       "      <td>24-02-2014</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>-2</td>\n",
       "      <td>-791</td>\n",
       "      <td>166.110</td>\n",
       "      <td>-1748.110</td>\n",
       "      <td>TeleShop</td>\n",
       "      <td>273420</td>\n",
       "      <td>27-07-1992</td>\n",
       "      <td>M</td>\n",
       "      <td>8.0</td>\n",
       "      <td>Books</td>\n",
       "      <td>6</td>\n",
       "      <td>DIY</td>\n",
       "      <td>10077 days 17:45:11.274398</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>93274880719</td>\n",
       "      <td>271509</td>\n",
       "      <td>24-02-2014</td>\n",
       "      <td>11</td>\n",
       "      <td>6</td>\n",
       "      <td>-3</td>\n",
       "      <td>-1363</td>\n",
       "      <td>429.345</td>\n",
       "      <td>-4518.345</td>\n",
       "      <td>e-Shop</td>\n",
       "      <td>271509</td>\n",
       "      <td>08-06-1981</td>\n",
       "      <td>M</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Home and kitchen</td>\n",
       "      <td>11</td>\n",
       "      <td>Bath</td>\n",
       "      <td>14085 days 17:45:11.274398</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>51750724947</td>\n",
       "      <td>273420</td>\n",
       "      <td>23-02-2014</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>-2</td>\n",
       "      <td>-791</td>\n",
       "      <td>166.110</td>\n",
       "      <td>-1748.110</td>\n",
       "      <td>TeleShop</td>\n",
       "      <td>273420</td>\n",
       "      <td>27-07-1992</td>\n",
       "      <td>M</td>\n",
       "      <td>8.0</td>\n",
       "      <td>Books</td>\n",
       "      <td>6</td>\n",
       "      <td>DIY</td>\n",
       "      <td>10077 days 17:45:11.274398</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23048</th>\n",
       "      <td>94340757522</td>\n",
       "      <td>274550</td>\n",
       "      <td>25-01-2011</td>\n",
       "      <td>12</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>1264</td>\n",
       "      <td>132.720</td>\n",
       "      <td>1396.720</td>\n",
       "      <td>e-Shop</td>\n",
       "      <td>274550</td>\n",
       "      <td>21-02-1972</td>\n",
       "      <td>M</td>\n",
       "      <td>7.0</td>\n",
       "      <td>Books</td>\n",
       "      <td>12</td>\n",
       "      <td>Academic</td>\n",
       "      <td>17539 days 17:45:11.274398</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23049</th>\n",
       "      <td>89780862956</td>\n",
       "      <td>270022</td>\n",
       "      <td>25-01-2011</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>677</td>\n",
       "      <td>71.085</td>\n",
       "      <td>748.085</td>\n",
       "      <td>e-Shop</td>\n",
       "      <td>270022</td>\n",
       "      <td>27-04-1984</td>\n",
       "      <td>M</td>\n",
       "      <td>9.0</td>\n",
       "      <td>Clothing</td>\n",
       "      <td>4</td>\n",
       "      <td>Mens</td>\n",
       "      <td>13090 days 17:45:11.274398</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23050</th>\n",
       "      <td>85115299378</td>\n",
       "      <td>271020</td>\n",
       "      <td>25-01-2011</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>1052</td>\n",
       "      <td>441.840</td>\n",
       "      <td>4649.840</td>\n",
       "      <td>MBR</td>\n",
       "      <td>271020</td>\n",
       "      <td>20-06-1976</td>\n",
       "      <td>M</td>\n",
       "      <td>8.0</td>\n",
       "      <td>Home and kitchen</td>\n",
       "      <td>2</td>\n",
       "      <td>Furnishing</td>\n",
       "      <td>15958 days 17:45:11.274398</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23051</th>\n",
       "      <td>72870271171</td>\n",
       "      <td>270911</td>\n",
       "      <td>25-01-2011</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>1142</td>\n",
       "      <td>359.730</td>\n",
       "      <td>3785.730</td>\n",
       "      <td>TeleShop</td>\n",
       "      <td>270911</td>\n",
       "      <td>22-05-1970</td>\n",
       "      <td>M</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Books</td>\n",
       "      <td>11</td>\n",
       "      <td>Children</td>\n",
       "      <td>18179 days 17:45:11.274398</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23052</th>\n",
       "      <td>77960931771</td>\n",
       "      <td>271961</td>\n",
       "      <td>25-01-2011</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>447</td>\n",
       "      <td>46.935</td>\n",
       "      <td>493.935</td>\n",
       "      <td>TeleShop</td>\n",
       "      <td>271961</td>\n",
       "      <td>15-01-1982</td>\n",
       "      <td>M</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Books</td>\n",
       "      <td>11</td>\n",
       "      <td>Children</td>\n",
       "      <td>13923 days 17:45:11.274398</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>23053 rows × 18 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       transaction_id  cust_id   tran_date  prod_subcat_code  prod_cat_code  \\\n",
       "0         80712190438   270351  28-02-2014                 1              1   \n",
       "1         29258453508   270384  27-02-2014                 5              3   \n",
       "2         51750724947   273420  24-02-2014                 6              5   \n",
       "3         93274880719   271509  24-02-2014                11              6   \n",
       "4         51750724947   273420  23-02-2014                 6              5   \n",
       "...               ...      ...         ...               ...            ...   \n",
       "23048     94340757522   274550  25-01-2011                12              5   \n",
       "23049     89780862956   270022  25-01-2011                 4              1   \n",
       "23050     85115299378   271020  25-01-2011                 2              6   \n",
       "23051     72870271171   270911  25-01-2011                11              5   \n",
       "23052     77960931771   271961  25-01-2011                11              5   \n",
       "\n",
       "       Qty  Rate      Tax  total_amt Store_type  customer_Id         DOB  \\\n",
       "0       -5  -772  405.300  -4265.300     e-Shop       270351  26-09-1981   \n",
       "1       -5 -1497  785.925  -8270.925     e-Shop       270384  11-05-1973   \n",
       "2       -2  -791  166.110  -1748.110   TeleShop       273420  27-07-1992   \n",
       "3       -3 -1363  429.345  -4518.345     e-Shop       271509  08-06-1981   \n",
       "4       -2  -791  166.110  -1748.110   TeleShop       273420  27-07-1992   \n",
       "...    ...   ...      ...        ...        ...          ...         ...   \n",
       "23048    1  1264  132.720   1396.720     e-Shop       274550  21-02-1972   \n",
       "23049    1   677   71.085    748.085     e-Shop       270022  27-04-1984   \n",
       "23050    4  1052  441.840   4649.840        MBR       271020  20-06-1976   \n",
       "23051    3  1142  359.730   3785.730   TeleShop       270911  22-05-1970   \n",
       "23052    1   447   46.935    493.935   TeleShop       271961  15-01-1982   \n",
       "\n",
       "      Gender  city_code          prod_cat  prod_sub_cat_code prod_subcat  \\\n",
       "0          M        5.0          Clothing                  1       Women   \n",
       "1          F        8.0       Electronics                  5   Computers   \n",
       "2          M        8.0             Books                  6         DIY   \n",
       "3          M        3.0  Home and kitchen                 11        Bath   \n",
       "4          M        8.0             Books                  6         DIY   \n",
       "...      ...        ...               ...                ...         ...   \n",
       "23048      M        7.0             Books                 12    Academic   \n",
       "23049      M        9.0          Clothing                  4        Mens   \n",
       "23050      M        8.0  Home and kitchen                  2  Furnishing   \n",
       "23051      M        2.0             Books                 11    Children   \n",
       "23052      M        1.0             Books                 11    Children   \n",
       "\n",
       "                             Age  \n",
       "0     14034 days 17:45:11.274398  \n",
       "1     16916 days 17:45:11.274398  \n",
       "2     10077 days 17:45:11.274398  \n",
       "3     14085 days 17:45:11.274398  \n",
       "4     10077 days 17:45:11.274398  \n",
       "...                          ...  \n",
       "23048 17539 days 17:45:11.274398  \n",
       "23049 13090 days 17:45:11.274398  \n",
       "23050 15958 days 17:45:11.274398  \n",
       "23051 18179 days 17:45:11.274398  \n",
       "23052 13923 days 17:45:11.274398  \n",
       "\n",
       "[23053 rows x 18 columns]"
      ]
     },
     "execution_count": 116,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "customer_final"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "''' I Checked from Stack Overflow and Got stuck in this question.\n",
    "\n",
    "TimedeltaProperties does not have year or month attributes because according to TimedeltaProperties source code . It is -\n",
    "\n",
    "    Accessor object for datetimelike properties of the Series values.\n",
    "\n",
    "But , months or years have no constant definition.\n",
    "\n",
    "1 month can take on different different number of days, based on the month itself, like January -> 31 days , April -> 30 days , etc.\n",
    "\n",
    "1 month can take on different values based on the year as well (in case of February month) , if the year is 2004 , February has 29 days , if the year is 2003 February has 28 days, etc.'''"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "# I am sorry, I was not able to do the final question due to these doubts. I have tried everything from my end but unable to get the logic for the same. Kindly provide me an hint for the same so I can master this issue.\n",
    "\n",
    "Thanks and Regards."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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