Data Analysis on Sales 2020 data.ipynb

{
 "cells": [
  {
   "attachments": {
    "OIP.jpeg": {
     "image/jpeg": "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"
    }
   },
   "cell_type": "markdown",
   "id": "9762e156",
   "metadata": {},
   "source": [
    "![OIP.jpeg](attachment:OIP.jpeg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0058f1d9",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "bfc192b7",
   "metadata": {},
   "outputs": [],
   "source": [
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import datetime as dt\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "0f96302c",
   "metadata": {},
   "outputs": [],
   "source": [
    "sales=pd.read_csv('D:\\\\PGP IN DATA SCIENCE with Careerera\\\\Files\\\\sales_06_FY2020-21.csv', low_memory=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "e20b44ba",
   "metadata": {},
   "outputs": [],
   "source": [
    "sales_df=pd.read_csv('D:\\\\PGP IN DATA SCIENCE with Careerera\\\\Files\\\\sales_06_FY2020-21.csv', low_memory=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "a3d3a969",
   "metadata": {},
   "outputs": [],
   "source": [
    "pd.options.display.max_columns=40"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "f82a03de",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>order_id</th>\n",
       "      <th>order_date</th>\n",
       "      <th>status</th>\n",
       "      <th>item_id</th>\n",
       "      <th>sku</th>\n",
       "      <th>qty_ordered</th>\n",
       "      <th>price</th>\n",
       "      <th>value</th>\n",
       "      <th>discount_amount</th>\n",
       "      <th>total</th>\n",
       "      <th>category</th>\n",
       "      <th>payment_method</th>\n",
       "      <th>bi_st</th>\n",
       "      <th>cust_id</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>ref_num</th>\n",
       "      <th>Name Prefix</th>\n",
       "      <th>First Name</th>\n",
       "      <th>Middle Initial</th>\n",
       "      <th>Last Name</th>\n",
       "      <th>Gender</th>\n",
       "      <th>age</th>\n",
       "      <th>full_name</th>\n",
       "      <th>E Mail</th>\n",
       "      <th>Customer Since</th>\n",
       "      <th>SSN</th>\n",
       "      <th>Phone No.</th>\n",
       "      <th>Place Name</th>\n",
       "      <th>County</th>\n",
       "      <th>City</th>\n",
       "      <th>State</th>\n",
       "      <th>Zip</th>\n",
       "      <th>Region</th>\n",
       "      <th>User Name</th>\n",
       "      <th>Discount_Percent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>100354678</td>\n",
       "      <td>2020-10-01</td>\n",
       "      <td>received</td>\n",
       "      <td>574772.0</td>\n",
       "      <td>oasis_Oasis-064-36</td>\n",
       "      <td>21.0</td>\n",
       "      <td>89.9</td>\n",
       "      <td>1798.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1798.0</td>\n",
       "      <td>Men's Fashion</td>\n",
       "      <td>cod</td>\n",
       "      <td>Valid</td>\n",
       "      <td>60124.0</td>\n",
       "      <td>2020</td>\n",
       "      <td>Oct-2020</td>\n",
       "      <td>987867</td>\n",
       "      <td>Drs.</td>\n",
       "      <td>Jani</td>\n",
       "      <td>W</td>\n",
       "      <td>Titus</td>\n",
       "      <td>F</td>\n",
       "      <td>43.0</td>\n",
       "      <td>Titus, Jani</td>\n",
       "      <td>jani.titus@gmail.com</td>\n",
       "      <td>8/22/2006</td>\n",
       "      <td>627-31-5251</td>\n",
       "      <td>405-959-1129</td>\n",
       "      <td>Vinson</td>\n",
       "      <td>Harmon</td>\n",
       "      <td>Vinson</td>\n",
       "      <td>OK</td>\n",
       "      <td>73571</td>\n",
       "      <td>South</td>\n",
       "      <td>jwtitus</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>100354678</td>\n",
       "      <td>2020-10-01</td>\n",
       "      <td>received</td>\n",
       "      <td>574774.0</td>\n",
       "      <td>Fantastic_FT-48</td>\n",
       "      <td>11.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>190.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>190.0</td>\n",
       "      <td>Men's Fashion</td>\n",
       "      <td>cod</td>\n",
       "      <td>Valid</td>\n",
       "      <td>60124.0</td>\n",
       "      <td>2020</td>\n",
       "      <td>Oct-2020</td>\n",
       "      <td>987867</td>\n",
       "      <td>Drs.</td>\n",
       "      <td>Jani</td>\n",
       "      <td>W</td>\n",
       "      <td>Titus</td>\n",
       "      <td>F</td>\n",
       "      <td>43.0</td>\n",
       "      <td>Titus, Jani</td>\n",
       "      <td>jani.titus@gmail.com</td>\n",
       "      <td>8/22/2006</td>\n",
       "      <td>627-31-5251</td>\n",
       "      <td>405-959-1129</td>\n",
       "      <td>Vinson</td>\n",
       "      <td>Harmon</td>\n",
       "      <td>Vinson</td>\n",
       "      <td>OK</td>\n",
       "      <td>73571</td>\n",
       "      <td>South</td>\n",
       "      <td>jwtitus</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>100354680</td>\n",
       "      <td>2020-10-01</td>\n",
       "      <td>complete</td>\n",
       "      <td>574777.0</td>\n",
       "      <td>mdeal_DMC-610-8</td>\n",
       "      <td>9.0</td>\n",
       "      <td>149.9</td>\n",
       "      <td>1199.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1199.2</td>\n",
       "      <td>Men's Fashion</td>\n",
       "      <td>cod</td>\n",
       "      <td>Net</td>\n",
       "      <td>60124.0</td>\n",
       "      <td>2020</td>\n",
       "      <td>Oct-2020</td>\n",
       "      <td>987867</td>\n",
       "      <td>Drs.</td>\n",
       "      <td>Jani</td>\n",
       "      <td>W</td>\n",
       "      <td>Titus</td>\n",
       "      <td>F</td>\n",
       "      <td>43.0</td>\n",
       "      <td>Titus, Jani</td>\n",
       "      <td>jani.titus@gmail.com</td>\n",
       "      <td>8/22/2006</td>\n",
       "      <td>627-31-5251</td>\n",
       "      <td>405-959-1129</td>\n",
       "      <td>Vinson</td>\n",
       "      <td>Harmon</td>\n",
       "      <td>Vinson</td>\n",
       "      <td>OK</td>\n",
       "      <td>73571</td>\n",
       "      <td>South</td>\n",
       "      <td>jwtitus</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>100354680</td>\n",
       "      <td>2020-10-01</td>\n",
       "      <td>complete</td>\n",
       "      <td>574779.0</td>\n",
       "      <td>oasis_Oasis-061-36</td>\n",
       "      <td>9.0</td>\n",
       "      <td>79.9</td>\n",
       "      <td>639.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>639.2</td>\n",
       "      <td>Men's Fashion</td>\n",
       "      <td>cod</td>\n",
       "      <td>Net</td>\n",
       "      <td>60124.0</td>\n",
       "      <td>2020</td>\n",
       "      <td>Oct-2020</td>\n",
       "      <td>987867</td>\n",
       "      <td>Drs.</td>\n",
       "      <td>Jani</td>\n",
       "      <td>W</td>\n",
       "      <td>Titus</td>\n",
       "      <td>F</td>\n",
       "      <td>43.0</td>\n",
       "      <td>Titus, Jani</td>\n",
       "      <td>jani.titus@gmail.com</td>\n",
       "      <td>8/22/2006</td>\n",
       "      <td>627-31-5251</td>\n",
       "      <td>405-959-1129</td>\n",
       "      <td>Vinson</td>\n",
       "      <td>Harmon</td>\n",
       "      <td>Vinson</td>\n",
       "      <td>OK</td>\n",
       "      <td>73571</td>\n",
       "      <td>South</td>\n",
       "      <td>jwtitus</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    order_id  order_date    status   item_id                 sku  qty_ordered  \\\n",
       "0  100354678  2020-10-01  received  574772.0  oasis_Oasis-064-36         21.0   \n",
       "1  100354678  2020-10-01  received  574774.0     Fantastic_FT-48         11.0   \n",
       "2  100354680  2020-10-01  complete  574777.0     mdeal_DMC-610-8          9.0   \n",
       "3  100354680  2020-10-01  complete  574779.0  oasis_Oasis-061-36          9.0   \n",
       "\n",
       "   price   value  discount_amount   total       category payment_method  \\\n",
       "0   89.9  1798.0              0.0  1798.0  Men's Fashion            cod   \n",
       "1   19.0   190.0              0.0   190.0  Men's Fashion            cod   \n",
       "2  149.9  1199.2              0.0  1199.2  Men's Fashion            cod   \n",
       "3   79.9   639.2              0.0   639.2  Men's Fashion            cod   \n",
       "\n",
       "   bi_st  cust_id  year     month  ref_num Name Prefix First Name  \\\n",
       "0  Valid  60124.0  2020  Oct-2020   987867        Drs.       Jani   \n",
       "1  Valid  60124.0  2020  Oct-2020   987867        Drs.       Jani   \n",
       "2    Net  60124.0  2020  Oct-2020   987867        Drs.       Jani   \n",
       "3    Net  60124.0  2020  Oct-2020   987867        Drs.       Jani   \n",
       "\n",
       "  Middle Initial Last Name Gender   age    full_name                E Mail  \\\n",
       "0              W     Titus      F  43.0  Titus, Jani  jani.titus@gmail.com   \n",
       "1              W     Titus      F  43.0  Titus, Jani  jani.titus@gmail.com   \n",
       "2              W     Titus      F  43.0  Titus, Jani  jani.titus@gmail.com   \n",
       "3              W     Titus      F  43.0  Titus, Jani  jani.titus@gmail.com   \n",
       "\n",
       "  Customer Since          SSN    Phone No.  Place Name  County    City State  \\\n",
       "0      8/22/2006  627-31-5251  405-959-1129     Vinson  Harmon  Vinson    OK   \n",
       "1      8/22/2006  627-31-5251  405-959-1129     Vinson  Harmon  Vinson    OK   \n",
       "2      8/22/2006  627-31-5251  405-959-1129     Vinson  Harmon  Vinson    OK   \n",
       "3      8/22/2006  627-31-5251  405-959-1129     Vinson  Harmon  Vinson    OK   \n",
       "\n",
       "     Zip Region User Name  Discount_Percent  \n",
       "0  73571  South   jwtitus               0.0  \n",
       "1  73571  South   jwtitus               0.0  \n",
       "2  73571  South   jwtitus               0.0  \n",
       "3  73571  South   jwtitus               0.0  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sales.head(4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "2c2561d6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(286392, 36)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sales.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "0326e935",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 286392 entries, 0 to 286391\n",
      "Data columns (total 36 columns):\n",
      " #   Column            Non-Null Count   Dtype  \n",
      "---  ------            --------------   -----  \n",
      " 0   order_id          286392 non-null  object \n",
      " 1   order_date        286392 non-null  object \n",
      " 2   status            286392 non-null  object \n",
      " 3   item_id           286392 non-null  float64\n",
      " 4   sku               286392 non-null  object \n",
      " 5   qty_ordered       286392 non-null  float64\n",
      " 6   price             286392 non-null  float64\n",
      " 7   value             286392 non-null  float64\n",
      " 8   discount_amount   286392 non-null  float64\n",
      " 9   total             286392 non-null  float64\n",
      " 10  category          286392 non-null  object \n",
      " 11  payment_method    286392 non-null  object \n",
      " 12  bi_st             286392 non-null  object \n",
      " 13  cust_id           286392 non-null  float64\n",
      " 14  year              286392 non-null  int64  \n",
      " 15  month             286392 non-null  object \n",
      " 16  ref_num           286392 non-null  int64  \n",
      " 17  Name Prefix       286392 non-null  object \n",
      " 18  First Name        286392 non-null  object \n",
      " 19  Middle Initial    286392 non-null  object \n",
      " 20  Last Name         286392 non-null  object \n",
      " 21  Gender            286392 non-null  object \n",
      " 22  age               286392 non-null  float64\n",
      " 23  full_name         286392 non-null  object \n",
      " 24  E Mail            286392 non-null  object \n",
      " 25  Customer Since    286392 non-null  object \n",
      " 26  SSN               286392 non-null  object \n",
      " 27  Phone No.         286392 non-null  object \n",
      " 28  Place Name        286392 non-null  object \n",
      " 29  County            286392 non-null  object \n",
      " 30  City              286392 non-null  object \n",
      " 31  State             286392 non-null  object \n",
      " 32  Zip               286392 non-null  int64  \n",
      " 33  Region            286392 non-null  object \n",
      " 34  User Name         286392 non-null  object \n",
      " 35  Discount_Percent  286392 non-null  float64\n",
      "dtypes: float64(9), int64(3), object(24)\n",
      "memory usage: 78.7+ MB\n"
     ]
    }
   ],
   "source": [
    "sales.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "bfb8ebd2",
   "metadata": {},
   "outputs": [],
   "source": [
    "sales.drop(['cust_id', 'ref_num', 'Name Prefix', 'First Name', 'Middle Initial', 'Last Name', 'User Name'], axis=1, inplace=True)\n",
    "sales_df.drop(['cust_id', 'ref_num', 'Name Prefix', 'First Name', 'Middle Initial', 'Last Name', 'User Name'], axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "e8440770",
   "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>order_id</th>\n",
       "      <th>order_date</th>\n",
       "      <th>status</th>\n",
       "      <th>item_id</th>\n",
       "      <th>sku</th>\n",
       "      <th>qty_ordered</th>\n",
       "      <th>price</th>\n",
       "      <th>value</th>\n",
       "      <th>discount_amount</th>\n",
       "      <th>total</th>\n",
       "      <th>category</th>\n",
       "      <th>payment_method</th>\n",
       "      <th>bi_st</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>Gender</th>\n",
       "      <th>age</th>\n",
       "      <th>full_name</th>\n",
       "      <th>E Mail</th>\n",
       "      <th>Customer Since</th>\n",
       "      <th>SSN</th>\n",
       "      <th>Phone No.</th>\n",
       "      <th>Place Name</th>\n",
       "      <th>County</th>\n",
       "      <th>City</th>\n",
       "      <th>State</th>\n",
       "      <th>Zip</th>\n",
       "      <th>Region</th>\n",
       "      <th>Discount_Percent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>100354678</td>\n",
       "      <td>2020-10-01</td>\n",
       "      <td>received</td>\n",
       "      <td>574772.0</td>\n",
       "      <td>oasis_Oasis-064-36</td>\n",
       "      <td>21.0</td>\n",
       "      <td>89.9</td>\n",
       "      <td>1798.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1798.0</td>\n",
       "      <td>Men's Fashion</td>\n",
       "      <td>cod</td>\n",
       "      <td>Valid</td>\n",
       "      <td>2020</td>\n",
       "      <td>Oct-2020</td>\n",
       "      <td>F</td>\n",
       "      <td>43.0</td>\n",
       "      <td>Titus, Jani</td>\n",
       "      <td>jani.titus@gmail.com</td>\n",
       "      <td>8/22/2006</td>\n",
       "      <td>627-31-5251</td>\n",
       "      <td>405-959-1129</td>\n",
       "      <td>Vinson</td>\n",
       "      <td>Harmon</td>\n",
       "      <td>Vinson</td>\n",
       "      <td>OK</td>\n",
       "      <td>73571</td>\n",
       "      <td>South</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>100354678</td>\n",
       "      <td>2020-10-01</td>\n",
       "      <td>received</td>\n",
       "      <td>574774.0</td>\n",
       "      <td>Fantastic_FT-48</td>\n",
       "      <td>11.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>190.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>190.0</td>\n",
       "      <td>Men's Fashion</td>\n",
       "      <td>cod</td>\n",
       "      <td>Valid</td>\n",
       "      <td>2020</td>\n",
       "      <td>Oct-2020</td>\n",
       "      <td>F</td>\n",
       "      <td>43.0</td>\n",
       "      <td>Titus, Jani</td>\n",
       "      <td>jani.titus@gmail.com</td>\n",
       "      <td>8/22/2006</td>\n",
       "      <td>627-31-5251</td>\n",
       "      <td>405-959-1129</td>\n",
       "      <td>Vinson</td>\n",
       "      <td>Harmon</td>\n",
       "      <td>Vinson</td>\n",
       "      <td>OK</td>\n",
       "      <td>73571</td>\n",
       "      <td>South</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>100354680</td>\n",
       "      <td>2020-10-01</td>\n",
       "      <td>complete</td>\n",
       "      <td>574777.0</td>\n",
       "      <td>mdeal_DMC-610-8</td>\n",
       "      <td>9.0</td>\n",
       "      <td>149.9</td>\n",
       "      <td>1199.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1199.2</td>\n",
       "      <td>Men's Fashion</td>\n",
       "      <td>cod</td>\n",
       "      <td>Net</td>\n",
       "      <td>2020</td>\n",
       "      <td>Oct-2020</td>\n",
       "      <td>F</td>\n",
       "      <td>43.0</td>\n",
       "      <td>Titus, Jani</td>\n",
       "      <td>jani.titus@gmail.com</td>\n",
       "      <td>8/22/2006</td>\n",
       "      <td>627-31-5251</td>\n",
       "      <td>405-959-1129</td>\n",
       "      <td>Vinson</td>\n",
       "      <td>Harmon</td>\n",
       "      <td>Vinson</td>\n",
       "      <td>OK</td>\n",
       "      <td>73571</td>\n",
       "      <td>South</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>100354680</td>\n",
       "      <td>2020-10-01</td>\n",
       "      <td>complete</td>\n",
       "      <td>574779.0</td>\n",
       "      <td>oasis_Oasis-061-36</td>\n",
       "      <td>9.0</td>\n",
       "      <td>79.9</td>\n",
       "      <td>639.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>639.2</td>\n",
       "      <td>Men's Fashion</td>\n",
       "      <td>cod</td>\n",
       "      <td>Net</td>\n",
       "      <td>2020</td>\n",
       "      <td>Oct-2020</td>\n",
       "      <td>F</td>\n",
       "      <td>43.0</td>\n",
       "      <td>Titus, Jani</td>\n",
       "      <td>jani.titus@gmail.com</td>\n",
       "      <td>8/22/2006</td>\n",
       "      <td>627-31-5251</td>\n",
       "      <td>405-959-1129</td>\n",
       "      <td>Vinson</td>\n",
       "      <td>Harmon</td>\n",
       "      <td>Vinson</td>\n",
       "      <td>OK</td>\n",
       "      <td>73571</td>\n",
       "      <td>South</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>100367357</td>\n",
       "      <td>2020-11-13</td>\n",
       "      <td>received</td>\n",
       "      <td>595185.0</td>\n",
       "      <td>MEFNAR59C38B6CA08CD</td>\n",
       "      <td>2.0</td>\n",
       "      <td>99.9</td>\n",
       "      <td>99.9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>99.9</td>\n",
       "      <td>Men's Fashion</td>\n",
       "      <td>cod</td>\n",
       "      <td>Valid</td>\n",
       "      <td>2020</td>\n",
       "      <td>Nov-2020</td>\n",
       "      <td>F</td>\n",
       "      <td>43.0</td>\n",
       "      <td>Titus, Jani</td>\n",
       "      <td>jani.titus@gmail.com</td>\n",
       "      <td>8/22/2006</td>\n",
       "      <td>627-31-5251</td>\n",
       "      <td>405-959-1129</td>\n",
       "      <td>Vinson</td>\n",
       "      <td>Harmon</td>\n",
       "      <td>Vinson</td>\n",
       "      <td>OK</td>\n",
       "      <td>73571</td>\n",
       "      <td>South</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    order_id  order_date    status   item_id                  sku  \\\n",
       "0  100354678  2020-10-01  received  574772.0   oasis_Oasis-064-36   \n",
       "1  100354678  2020-10-01  received  574774.0      Fantastic_FT-48   \n",
       "2  100354680  2020-10-01  complete  574777.0      mdeal_DMC-610-8   \n",
       "3  100354680  2020-10-01  complete  574779.0   oasis_Oasis-061-36   \n",
       "4  100367357  2020-11-13  received  595185.0  MEFNAR59C38B6CA08CD   \n",
       "\n",
       "   qty_ordered  price   value  discount_amount   total       category  \\\n",
       "0         21.0   89.9  1798.0              0.0  1798.0  Men's Fashion   \n",
       "1         11.0   19.0   190.0              0.0   190.0  Men's Fashion   \n",
       "2          9.0  149.9  1199.2              0.0  1199.2  Men's Fashion   \n",
       "3          9.0   79.9   639.2              0.0   639.2  Men's Fashion   \n",
       "4          2.0   99.9    99.9              0.0    99.9  Men's Fashion   \n",
       "\n",
       "  payment_method  bi_st  year     month Gender   age    full_name  \\\n",
       "0            cod  Valid  2020  Oct-2020      F  43.0  Titus, Jani   \n",
       "1            cod  Valid  2020  Oct-2020      F  43.0  Titus, Jani   \n",
       "2            cod    Net  2020  Oct-2020      F  43.0  Titus, Jani   \n",
       "3            cod    Net  2020  Oct-2020      F  43.0  Titus, Jani   \n",
       "4            cod  Valid  2020  Nov-2020      F  43.0  Titus, Jani   \n",
       "\n",
       "                 E Mail Customer Since          SSN    Phone No.  Place Name  \\\n",
       "0  jani.titus@gmail.com      8/22/2006  627-31-5251  405-959-1129     Vinson   \n",
       "1  jani.titus@gmail.com      8/22/2006  627-31-5251  405-959-1129     Vinson   \n",
       "2  jani.titus@gmail.com      8/22/2006  627-31-5251  405-959-1129     Vinson   \n",
       "3  jani.titus@gmail.com      8/22/2006  627-31-5251  405-959-1129     Vinson   \n",
       "4  jani.titus@gmail.com      8/22/2006  627-31-5251  405-959-1129     Vinson   \n",
       "\n",
       "   County    City State    Zip Region  Discount_Percent  \n",
       "0  Harmon  Vinson    OK  73571  South               0.0  \n",
       "1  Harmon  Vinson    OK  73571  South               0.0  \n",
       "2  Harmon  Vinson    OK  73571  South               0.0  \n",
       "3  Harmon  Vinson    OK  73571  South               0.0  \n",
       "4  Harmon  Vinson    OK  73571  South               0.0  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sales.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "d34bd008",
   "metadata": {},
   "outputs": [],
   "source": [
    "## not possible to extract year/month/day from object column, have to convert it to datetime column first then extract year or month \n",
    " ## sales['order_date'] = pd.to_datetime(sales['order_date'])\n",
    " ## sales['Year']=sales['order_date'].dt.year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8e7380d4",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "646f6035",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([2020, 2021], dtype=int64)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sales.year.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8fbfbcdf",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7319a235",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "8e278d0a",
   "metadata": {},
   "source": [
    "## Which category products are ordered most of times"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "dc82800d",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([\"Men's Fashion\", 'Mobiles & Tablets', 'Computing', 'Appliances',\n",
       "       'Home & Living', \"Women's Fashion\", 'Health & Sports',\n",
       "       'Beauty & Grooming', 'Superstore', 'Others', 'Entertainment',\n",
       "       'Soghaat', 'Kids & Baby', 'Books', 'School & Education'],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sales.category.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "cc3224ff",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Mobiles & Tablets     61761\n",
       "Men's Fashion         40713\n",
       "Appliances            33034\n",
       "Women's Fashion       28334\n",
       "Others                26108\n",
       "Beauty & Grooming     17899\n",
       "Entertainment         17352\n",
       "Superstore            15024\n",
       "Home & Living         13990\n",
       "Health & Sports        8421\n",
       "Computing              8110\n",
       "Soghaat                7250\n",
       "Kids & Baby            6492\n",
       "School & Education     1090\n",
       "Books                   814\n",
       "Name: category, dtype: int64"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sales.category.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "2065e1d1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8,6))\n",
    "ax=sns.countplot(x='category', data=sales,\n",
    "             order=sales.category.value_counts().index)\n",
    "plt.xticks(rotation=45, ha='right')\n",
    "\n",
    "abs_values = sales['category'].value_counts(ascending=False).values\n",
    "\n",
    "ax.bar_label(container=ax.containers[0], labels=abs_values);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e27880c8",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ba3a8103",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "80096d61",
   "metadata": {},
   "source": [
    "## Which payment method is most preffered"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "4e3925dd",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['cod', 'Payaxis', 'Easypay', 'jazzwallet', 'Easypay_MA',\n",
       "       'jazzvoucher', 'easypay_voucher', 'customercredit', 'bankalfalah',\n",
       "       'apg', 'mcblite', 'cashatdoorstep', 'financesettlement'],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sales.payment_method.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "d197d6e0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "cod                  102916\n",
       "Easypay               69679\n",
       "Payaxis               31049\n",
       "easypay_voucher       29763\n",
       "bankalfalah           23057\n",
       "Easypay_MA            11536\n",
       "jazzwallet             6669\n",
       "jazzvoucher            6045\n",
       "customercredit         3702\n",
       "apg                    1758\n",
       "mcblite                 208\n",
       "cashatdoorstep            9\n",
       "financesettlement         1\n",
       "Name: payment_method, dtype: int64"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sales.payment_method.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "5f4f0d45",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8,5))\n",
    "ax=sns.countplot(x='payment_method', data=sales,\n",
    "              order=sales.payment_method.value_counts().index)\n",
    "plt.xticks(rotation=45)\n",
    "\n",
    "abs_values = sales['payment_method'].value_counts(ascending=False).values\n",
    "\n",
    "ax.bar_label(container=ax.containers[0], labels=abs_values);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "75297c53",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f9fc4983",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "1ef7135b",
   "metadata": {},
   "source": [
    "## Which sku has given maximum discount"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "6b9ebaee",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "47932"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sales.sku.nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "22acf4cf",
   "metadata": {},
   "outputs": [],
   "source": [
    "##pd.pivot_table(sales, index='sku', values='discount_amount', aggfunc=sum, sort=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "9496ed88",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "sku\n",
       " jjp_15000006-100-NIL     0.000000e+00\n",
       "MEFIDO5B03BA4C38768-XL    0.000000e+00\n",
       "MEFIDO5B03BA52A9140-XL    0.000000e+00\n",
       "MEFIDO5B03BA609AC72-XL    0.000000e+00\n",
       "MEFIDO5B03BA6E3E11F-M     0.000000e+00\n",
       "                              ...     \n",
       "MATSAM5A0BFFF19C40A       2.639995e+05\n",
       "MATSAM59DB7583ED7C0       2.896359e+05\n",
       "MATSAM5A7463EE3C1A5       3.826640e+05\n",
       "MATSAM59DB757FB47A2       6.860361e+05\n",
       "MATSAM59DB75ADB2F80       1.125850e+06\n",
       "Name: discount_amount, Length: 47932, dtype: float64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sales.groupby('sku').discount_amount.sum().sort_values(ascending=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "2c2d23ca",
   "metadata": {},
   "outputs": [],
   "source": [
    "##pd.pivot_table(sales, index='sku', values='Discount_Percent', aggfunc=sum, sort=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "11505f0a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "sku\n",
       " jjp_15000006-100-NIL         0.000000\n",
       "MEFHOU5AACDD8DC6D91-38        0.000000\n",
       "MEFHOU5ABCCD80ADC96           0.000000\n",
       "MEFHOU5ABCD0C51AF8C           0.000000\n",
       "MEFHOU5ABD1A9F50F28           0.000000\n",
       "                              ...     \n",
       "MATSAM59DB757FB47A2       14369.763651\n",
       "MATTEL5A462528E403F       14579.007518\n",
       "APPNAT5A0A01860CE92       14653.841673\n",
       "MATSAM5A7463EE3C1A5       15291.636726\n",
       "MATSAM59DB75ADB2F80       62018.323185\n",
       "Name: Discount_Percent, Length: 47932, dtype: float64"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sales.groupby('sku').Discount_Percent.sum().sort_values(ascending=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3d44de67",
   "metadata": {},
   "outputs": [],
   "source": [
    "###  (MATSAM59DB75ADB2F80 ) this sku has gives more discount"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "33b0ebe9",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "f90e62bb",
   "metadata": {},
   "outputs": [],
   "source": [
    "sales_sku_max_disc=sales[sales['sku']=='MATSAM59DB75ADB2F80' ]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "cb786ce1",
   "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>order_id</th>\n",
       "      <th>order_date</th>\n",
       "      <th>status</th>\n",
       "      <th>item_id</th>\n",
       "      <th>sku</th>\n",
       "      <th>qty_ordered</th>\n",
       "      <th>price</th>\n",
       "      <th>value</th>\n",
       "      <th>discount_amount</th>\n",
       "      <th>total</th>\n",
       "      <th>category</th>\n",
       "      <th>payment_method</th>\n",
       "      <th>bi_st</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>Gender</th>\n",
       "      <th>age</th>\n",
       "      <th>full_name</th>\n",
       "      <th>E Mail</th>\n",
       "      <th>Customer Since</th>\n",
       "      <th>SSN</th>\n",
       "      <th>Phone No.</th>\n",
       "      <th>Place Name</th>\n",
       "      <th>County</th>\n",
       "      <th>City</th>\n",
       "      <th>State</th>\n",
       "      <th>Zip</th>\n",
       "      <th>Region</th>\n",
       "      <th>Discount_Percent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>293</th>\n",
       "      <td>100412711</td>\n",
       "      <td>2020-12-27</td>\n",
       "      <td>complete</td>\n",
       "      <td>673813.0</td>\n",
       "      <td>MATSAM59DB75ADB2F80</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1369.8</td>\n",
       "      <td>2739.6</td>\n",
       "      <td>579.96</td>\n",
       "      <td>2159.64</td>\n",
       "      <td>Mobiles &amp; Tablets</td>\n",
       "      <td>easypay_voucher</td>\n",
       "      <td>Net</td>\n",
       "      <td>2020</td>\n",
       "      <td>Dec-2020</td>\n",
       "      <td>F</td>\n",
       "      <td>54.0</td>\n",
       "      <td>Roach, Skye</td>\n",
       "      <td>skye.roach@outlook.com</td>\n",
       "      <td>12/8/1999</td>\n",
       "      <td>207-84-0611</td>\n",
       "      <td>225-428-0080</td>\n",
       "      <td>Lake Charles</td>\n",
       "      <td>Calcasieu</td>\n",
       "      <td>Lake Charles</td>\n",
       "      <td>LA</td>\n",
       "      <td>70629</td>\n",
       "      <td>South</td>\n",
       "      <td>21.169514</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1176</th>\n",
       "      <td>100424351</td>\n",
       "      <td>2020-12-28</td>\n",
       "      <td>canceled</td>\n",
       "      <td>693220.0</td>\n",
       "      <td>MATSAM59DB75ADB2F80</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1369.8</td>\n",
       "      <td>1369.8</td>\n",
       "      <td>210.99</td>\n",
       "      <td>1158.81</td>\n",
       "      <td>Mobiles &amp; Tablets</td>\n",
       "      <td>easypay_voucher</td>\n",
       "      <td>Gross</td>\n",
       "      <td>2020</td>\n",
       "      <td>Dec-2020</td>\n",
       "      <td>M</td>\n",
       "      <td>32.0</td>\n",
       "      <td>Meredith, Juan</td>\n",
       "      <td>juan.meredith@gmail.com</td>\n",
       "      <td>12/19/1997</td>\n",
       "      <td>601-99-2887</td>\n",
       "      <td>236-271-2330</td>\n",
       "      <td>Wylliesburg</td>\n",
       "      <td>Charlotte</td>\n",
       "      <td>Wylliesburg</td>\n",
       "      <td>VA</td>\n",
       "      <td>23976</td>\n",
       "      <td>South</td>\n",
       "      <td>15.402979</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1177</th>\n",
       "      <td>100424361</td>\n",
       "      <td>2020-12-28</td>\n",
       "      <td>complete</td>\n",
       "      <td>693230.0</td>\n",
       "      <td>MATSAM59DB75ADB2F80</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1369.8</td>\n",
       "      <td>1369.8</td>\n",
       "      <td>210.99</td>\n",
       "      <td>1158.81</td>\n",
       "      <td>Mobiles &amp; Tablets</td>\n",
       "      <td>easypay_voucher</td>\n",
       "      <td>Net</td>\n",
       "      <td>2020</td>\n",
       "      <td>Dec-2020</td>\n",
       "      <td>M</td>\n",
       "      <td>32.0</td>\n",
       "      <td>Meredith, Juan</td>\n",
       "      <td>juan.meredith@gmail.com</td>\n",
       "      <td>12/19/1997</td>\n",
       "      <td>601-99-2887</td>\n",
       "      <td>236-271-2330</td>\n",
       "      <td>Wylliesburg</td>\n",
       "      <td>Charlotte</td>\n",
       "      <td>Wylliesburg</td>\n",
       "      <td>VA</td>\n",
       "      <td>23976</td>\n",
       "      <td>South</td>\n",
       "      <td>15.402979</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       order_id  order_date    status   item_id                  sku  \\\n",
       "293   100412711  2020-12-27  complete  673813.0  MATSAM59DB75ADB2F80   \n",
       "1176  100424351  2020-12-28  canceled  693220.0  MATSAM59DB75ADB2F80   \n",
       "1177  100424361  2020-12-28  complete  693230.0  MATSAM59DB75ADB2F80   \n",
       "\n",
       "      qty_ordered   price   value  discount_amount    total  \\\n",
       "293           3.0  1369.8  2739.6           579.96  2159.64   \n",
       "1176          2.0  1369.8  1369.8           210.99  1158.81   \n",
       "1177          2.0  1369.8  1369.8           210.99  1158.81   \n",
       "\n",
       "               category   payment_method  bi_st  year     month Gender   age  \\\n",
       "293   Mobiles & Tablets  easypay_voucher    Net  2020  Dec-2020      F  54.0   \n",
       "1176  Mobiles & Tablets  easypay_voucher  Gross  2020  Dec-2020      M  32.0   \n",
       "1177  Mobiles & Tablets  easypay_voucher    Net  2020  Dec-2020      M  32.0   \n",
       "\n",
       "           full_name                   E Mail Customer Since          SSN  \\\n",
       "293      Roach, Skye   skye.roach@outlook.com      12/8/1999  207-84-0611   \n",
       "1176  Meredith, Juan  juan.meredith@gmail.com     12/19/1997  601-99-2887   \n",
       "1177  Meredith, Juan  juan.meredith@gmail.com     12/19/1997  601-99-2887   \n",
       "\n",
       "        Phone No.     Place Name     County          City State    Zip Region  \\\n",
       "293   225-428-0080  Lake Charles  Calcasieu  Lake Charles    LA  70629  South   \n",
       "1176  236-271-2330   Wylliesburg  Charlotte   Wylliesburg    VA  23976  South   \n",
       "1177  236-271-2330   Wylliesburg  Charlotte   Wylliesburg    VA  23976  South   \n",
       "\n",
       "      Discount_Percent  \n",
       "293          21.169514  \n",
       "1176         15.402979  \n",
       "1177         15.402979  "
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sales_sku_max_disc.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "3b993d65",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1125849.58992"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sales_sku_max_disc.discount_amount.sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7a6ede57",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f8fed85d",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "e5cafcae",
   "metadata": {},
   "outputs": [],
   "source": [
    "## to know dicount given by all other sku combine except the sku which has max discount, drop that max giving sku and sum the discount column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "9a02f41a",
   "metadata": {},
   "outputs": [],
   "source": [
    "sales_df.set_index('sku', inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "20aa86d6",
   "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>order_id</th>\n",
       "      <th>order_date</th>\n",
       "      <th>status</th>\n",
       "      <th>item_id</th>\n",
       "      <th>qty_ordered</th>\n",
       "      <th>price</th>\n",
       "      <th>value</th>\n",
       "      <th>discount_amount</th>\n",
       "      <th>total</th>\n",
       "      <th>category</th>\n",
       "      <th>payment_method</th>\n",
       "      <th>bi_st</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>Gender</th>\n",
       "      <th>age</th>\n",
       "      <th>full_name</th>\n",
       "      <th>E Mail</th>\n",
       "      <th>Customer Since</th>\n",
       "      <th>SSN</th>\n",
       "      <th>Phone No.</th>\n",
       "      <th>Place Name</th>\n",
       "      <th>County</th>\n",
       "      <th>City</th>\n",
       "      <th>State</th>\n",
       "      <th>Zip</th>\n",
       "      <th>Region</th>\n",
       "      <th>Discount_Percent</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sku</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>oasis_Oasis-064-36</th>\n",
       "      <td>100354678</td>\n",
       "      <td>2020-10-01</td>\n",
       "      <td>received</td>\n",
       "      <td>574772.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>89.9</td>\n",
       "      <td>1798.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1798.0</td>\n",
       "      <td>Men's Fashion</td>\n",
       "      <td>cod</td>\n",
       "      <td>Valid</td>\n",
       "      <td>2020</td>\n",
       "      <td>Oct-2020</td>\n",
       "      <td>F</td>\n",
       "      <td>43.0</td>\n",
       "      <td>Titus, Jani</td>\n",
       "      <td>jani.titus@gmail.com</td>\n",
       "      <td>8/22/2006</td>\n",
       "      <td>627-31-5251</td>\n",
       "      <td>405-959-1129</td>\n",
       "      <td>Vinson</td>\n",
       "      <td>Harmon</td>\n",
       "      <td>Vinson</td>\n",
       "      <td>OK</td>\n",
       "      <td>73571</td>\n",
       "      <td>South</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fantastic_FT-48</th>\n",
       "      <td>100354678</td>\n",
       "      <td>2020-10-01</td>\n",
       "      <td>received</td>\n",
       "      <td>574774.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>190.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>190.0</td>\n",
       "      <td>Men's Fashion</td>\n",
       "      <td>cod</td>\n",
       "      <td>Valid</td>\n",
       "      <td>2020</td>\n",
       "      <td>Oct-2020</td>\n",
       "      <td>F</td>\n",
       "      <td>43.0</td>\n",
       "      <td>Titus, Jani</td>\n",
       "      <td>jani.titus@gmail.com</td>\n",
       "      <td>8/22/2006</td>\n",
       "      <td>627-31-5251</td>\n",
       "      <td>405-959-1129</td>\n",
       "      <td>Vinson</td>\n",
       "      <td>Harmon</td>\n",
       "      <td>Vinson</td>\n",
       "      <td>OK</td>\n",
       "      <td>73571</td>\n",
       "      <td>South</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mdeal_DMC-610-8</th>\n",
       "      <td>100354680</td>\n",
       "      <td>2020-10-01</td>\n",
       "      <td>complete</td>\n",
       "      <td>574777.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>149.9</td>\n",
       "      <td>1199.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1199.2</td>\n",
       "      <td>Men's Fashion</td>\n",
       "      <td>cod</td>\n",
       "      <td>Net</td>\n",
       "      <td>2020</td>\n",
       "      <td>Oct-2020</td>\n",
       "      <td>F</td>\n",
       "      <td>43.0</td>\n",
       "      <td>Titus, Jani</td>\n",
       "      <td>jani.titus@gmail.com</td>\n",
       "      <td>8/22/2006</td>\n",
       "      <td>627-31-5251</td>\n",
       "      <td>405-959-1129</td>\n",
       "      <td>Vinson</td>\n",
       "      <td>Harmon</td>\n",
       "      <td>Vinson</td>\n",
       "      <td>OK</td>\n",
       "      <td>73571</td>\n",
       "      <td>South</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     order_id  order_date    status   item_id  qty_ordered  \\\n",
       "sku                                                                          \n",
       "oasis_Oasis-064-36  100354678  2020-10-01  received  574772.0         21.0   \n",
       "Fantastic_FT-48     100354678  2020-10-01  received  574774.0         11.0   \n",
       "mdeal_DMC-610-8     100354680  2020-10-01  complete  574777.0          9.0   \n",
       "\n",
       "                    price   value  discount_amount   total       category  \\\n",
       "sku                                                                         \n",
       "oasis_Oasis-064-36   89.9  1798.0              0.0  1798.0  Men's Fashion   \n",
       "Fantastic_FT-48      19.0   190.0              0.0   190.0  Men's Fashion   \n",
       "mdeal_DMC-610-8     149.9  1199.2              0.0  1199.2  Men's Fashion   \n",
       "\n",
       "                   payment_method  bi_st  year     month Gender   age  \\\n",
       "sku                                                                     \n",
       "oasis_Oasis-064-36            cod  Valid  2020  Oct-2020      F  43.0   \n",
       "Fantastic_FT-48               cod  Valid  2020  Oct-2020      F  43.0   \n",
       "mdeal_DMC-610-8               cod    Net  2020  Oct-2020      F  43.0   \n",
       "\n",
       "                      full_name                E Mail Customer Since  \\\n",
       "sku                                                                    \n",
       "oasis_Oasis-064-36  Titus, Jani  jani.titus@gmail.com      8/22/2006   \n",
       "Fantastic_FT-48     Titus, Jani  jani.titus@gmail.com      8/22/2006   \n",
       "mdeal_DMC-610-8     Titus, Jani  jani.titus@gmail.com      8/22/2006   \n",
       "\n",
       "                            SSN    Phone No.  Place Name  County    City  \\\n",
       "sku                                                                        \n",
       "oasis_Oasis-064-36  627-31-5251  405-959-1129     Vinson  Harmon  Vinson   \n",
       "Fantastic_FT-48     627-31-5251  405-959-1129     Vinson  Harmon  Vinson   \n",
       "mdeal_DMC-610-8     627-31-5251  405-959-1129     Vinson  Harmon  Vinson   \n",
       "\n",
       "                   State    Zip Region  Discount_Percent  \n",
       "sku                                                       \n",
       "oasis_Oasis-064-36    OK  73571  South               0.0  \n",
       "Fantastic_FT-48       OK  73571  South               0.0  \n",
       "mdeal_DMC-610-8       OK  73571  South               0.0  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sales_df.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "9c90233d",
   "metadata": {},
   "outputs": [],
   "source": [
    "sales_df.drop('MATSAM59DB75ADB2F80', axis=0, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "e19fdd69",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "18932882.051990002"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sales_df.discount_amount.sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "71fb2edb",
   "metadata": {},
   "outputs": [],
   "source": [
    "## There is huge difference between the sku which has maximum discount and all other sku combine "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3fcba5ad",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1deea2ba",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "9c0f8cb0",
   "metadata": {},
   "source": [
    "## Which sku has maximum sales"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "42103f93",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "sku\n",
       "MATSAM5B10F7E2AC8C1    7.437177e+06\n",
       "MATSAM59DB75ADB2F80    4.972349e+06\n",
       "MATSAM59DB757FB47A2    4.807788e+06\n",
       "MATSAM5B10F91A9B6AB    2.670725e+06\n",
       "MATSAM5B1509B4696EA    2.500298e+06\n",
       "                           ...     \n",
       "HALSHO59F86532630A0    0.000000e+00\n",
       "WOFALK59EE561B427AF    0.000000e+00\n",
       "HALSHO59F8376CA2E1B    0.000000e+00\n",
       "SADMTO5A9D302F6C5EA    0.000000e+00\n",
       "COMHP59D5F64B90CF0     0.000000e+00\n",
       "Name: total, Length: 47932, dtype: float64"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sales.groupby('sku').total.sum().sort_values(ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "4cc4e94b",
   "metadata": {},
   "outputs": [],
   "source": [
    "##pd.pivot_table(sales, index='sku', values='total', aggfunc=sum, sort=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "0a5fb2df",
   "metadata": {},
   "outputs": [],
   "source": [
    "## (MATSAM5B10F7E2AC8C1) tis sku has more sale"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "744aa6c0",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "fdeeeea5",
   "metadata": {},
   "source": [
    "## To understand what is the total sales combine of all sku except the sku who has maximum sales"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "f2fdab55",
   "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>order_id</th>\n",
       "      <th>order_date</th>\n",
       "      <th>status</th>\n",
       "      <th>item_id</th>\n",
       "      <th>qty_ordered</th>\n",
       "      <th>price</th>\n",
       "      <th>value</th>\n",
       "      <th>discount_amount</th>\n",
       "      <th>total</th>\n",
       "      <th>category</th>\n",
       "      <th>payment_method</th>\n",
       "      <th>bi_st</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>Gender</th>\n",
       "      <th>age</th>\n",
       "      <th>full_name</th>\n",
       "      <th>E Mail</th>\n",
       "      <th>Customer Since</th>\n",
       "      <th>SSN</th>\n",
       "      <th>Phone No.</th>\n",
       "      <th>Place Name</th>\n",
       "      <th>County</th>\n",
       "      <th>City</th>\n",
       "      <th>State</th>\n",
       "      <th>Zip</th>\n",
       "      <th>Region</th>\n",
       "      <th>Discount_Percent</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sku</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>oasis_Oasis-064-36</th>\n",
       "      <td>100354678</td>\n",
       "      <td>2020-10-01</td>\n",
       "      <td>received</td>\n",
       "      <td>574772.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>89.9</td>\n",
       "      <td>1798.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1798.0</td>\n",
       "      <td>Men's Fashion</td>\n",
       "      <td>cod</td>\n",
       "      <td>Valid</td>\n",
       "      <td>2020</td>\n",
       "      <td>Oct-2020</td>\n",
       "      <td>F</td>\n",
       "      <td>43.0</td>\n",
       "      <td>Titus, Jani</td>\n",
       "      <td>jani.titus@gmail.com</td>\n",
       "      <td>8/22/2006</td>\n",
       "      <td>627-31-5251</td>\n",
       "      <td>405-959-1129</td>\n",
       "      <td>Vinson</td>\n",
       "      <td>Harmon</td>\n",
       "      <td>Vinson</td>\n",
       "      <td>OK</td>\n",
       "      <td>73571</td>\n",
       "      <td>South</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fantastic_FT-48</th>\n",
       "      <td>100354678</td>\n",
       "      <td>2020-10-01</td>\n",
       "      <td>received</td>\n",
       "      <td>574774.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>190.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>190.0</td>\n",
       "      <td>Men's Fashion</td>\n",
       "      <td>cod</td>\n",
       "      <td>Valid</td>\n",
       "      <td>2020</td>\n",
       "      <td>Oct-2020</td>\n",
       "      <td>F</td>\n",
       "      <td>43.0</td>\n",
       "      <td>Titus, Jani</td>\n",
       "      <td>jani.titus@gmail.com</td>\n",
       "      <td>8/22/2006</td>\n",
       "      <td>627-31-5251</td>\n",
       "      <td>405-959-1129</td>\n",
       "      <td>Vinson</td>\n",
       "      <td>Harmon</td>\n",
       "      <td>Vinson</td>\n",
       "      <td>OK</td>\n",
       "      <td>73571</td>\n",
       "      <td>South</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mdeal_DMC-610-8</th>\n",
       "      <td>100354680</td>\n",
       "      <td>2020-10-01</td>\n",
       "      <td>complete</td>\n",
       "      <td>574777.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>149.9</td>\n",
       "      <td>1199.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1199.2</td>\n",
       "      <td>Men's Fashion</td>\n",
       "      <td>cod</td>\n",
       "      <td>Net</td>\n",
       "      <td>2020</td>\n",
       "      <td>Oct-2020</td>\n",
       "      <td>F</td>\n",
       "      <td>43.0</td>\n",
       "      <td>Titus, Jani</td>\n",
       "      <td>jani.titus@gmail.com</td>\n",
       "      <td>8/22/2006</td>\n",
       "      <td>627-31-5251</td>\n",
       "      <td>405-959-1129</td>\n",
       "      <td>Vinson</td>\n",
       "      <td>Harmon</td>\n",
       "      <td>Vinson</td>\n",
       "      <td>OK</td>\n",
       "      <td>73571</td>\n",
       "      <td>South</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     order_id  order_date    status   item_id  qty_ordered  \\\n",
       "sku                                                                          \n",
       "oasis_Oasis-064-36  100354678  2020-10-01  received  574772.0         21.0   \n",
       "Fantastic_FT-48     100354678  2020-10-01  received  574774.0         11.0   \n",
       "mdeal_DMC-610-8     100354680  2020-10-01  complete  574777.0          9.0   \n",
       "\n",
       "                    price   value  discount_amount   total       category  \\\n",
       "sku                                                                         \n",
       "oasis_Oasis-064-36   89.9  1798.0              0.0  1798.0  Men's Fashion   \n",
       "Fantastic_FT-48      19.0   190.0              0.0   190.0  Men's Fashion   \n",
       "mdeal_DMC-610-8     149.9  1199.2              0.0  1199.2  Men's Fashion   \n",
       "\n",
       "                   payment_method  bi_st  year     month Gender   age  \\\n",
       "sku                                                                     \n",
       "oasis_Oasis-064-36            cod  Valid  2020  Oct-2020      F  43.0   \n",
       "Fantastic_FT-48               cod  Valid  2020  Oct-2020      F  43.0   \n",
       "mdeal_DMC-610-8               cod    Net  2020  Oct-2020      F  43.0   \n",
       "\n",
       "                      full_name                E Mail Customer Since  \\\n",
       "sku                                                                    \n",
       "oasis_Oasis-064-36  Titus, Jani  jani.titus@gmail.com      8/22/2006   \n",
       "Fantastic_FT-48     Titus, Jani  jani.titus@gmail.com      8/22/2006   \n",
       "mdeal_DMC-610-8     Titus, Jani  jani.titus@gmail.com      8/22/2006   \n",
       "\n",
       "                            SSN    Phone No.  Place Name  County    City  \\\n",
       "sku                                                                        \n",
       "oasis_Oasis-064-36  627-31-5251  405-959-1129     Vinson  Harmon  Vinson   \n",
       "Fantastic_FT-48     627-31-5251  405-959-1129     Vinson  Harmon  Vinson   \n",
       "mdeal_DMC-610-8     627-31-5251  405-959-1129     Vinson  Harmon  Vinson   \n",
       "\n",
       "                   State    Zip Region  Discount_Percent  \n",
       "sku                                                       \n",
       "oasis_Oasis-064-36    OK  73571  South               0.0  \n",
       "Fantastic_FT-48       OK  73571  South               0.0  \n",
       "mdeal_DMC-610-8       OK  73571  South               0.0  "
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sales_df.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "93479836",
   "metadata": {},
   "outputs": [],
   "source": [
    "## to get total sales combine drop the sku which is giving maximum sales\n",
    "sales_df.drop('MATSAM5B10F7E2AC8C1', axis=0, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "792afc9a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "221240668.72200996"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sales_df.total.sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9711444a",
   "metadata": {},
   "outputs": [],
   "source": [
    "## concluded that the sku who has maximum sales value is less than the sales value of all the other combine"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "73be46bc",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8dc41838",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "0ab73a25",
   "metadata": {},
   "source": [
    "## Which category has more sales"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "2e443b94",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "##pd.pivot_table(sales, values='total', index='category', aggfunc=sum)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "f271bf26",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "category\n",
       "Mobiles & Tablets     1.301120e+08\n",
       "Appliances            3.006084e+07\n",
       "Entertainment         2.713843e+07\n",
       "Others                1.556433e+07\n",
       "Computing             9.362343e+06\n",
       "Women's Fashion       6.649842e+06\n",
       "Men's Fashion         4.820147e+06\n",
       "Superstore            2.886907e+06\n",
       "Beauty & Grooming     2.644748e+06\n",
       "Home & Living         1.810582e+06\n",
       "Health & Sports       1.019958e+06\n",
       "Kids & Baby           8.562133e+05\n",
       "Soghaat               5.766999e+05\n",
       "School & Education    1.147401e+05\n",
       "Books                 3.241695e+04\n",
       "Name: total, dtype: float64"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sales.groupby('category').total.sum().sort_values(ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "1b9b28e0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def add_value_label(x_list,y_list):\n",
    "    for i in range(len(x_list)):\n",
    "        plt.annotate(y_list[i],(i,y_list[i]), ha='center')\n",
    "\n",
    "plt.figure(figsize=(8,8))\n",
    "sns.set_style('dark')\n",
    "sns.barplot(x='category', y='total', data= sales, estimator=sum, ci=None,\n",
    "           order=sales.groupby('category').total.sum().sort_values(ascending=False)[:5].index)\n",
    "plt.xticks(rotation=45)\n",
    "plt.xlabel('Category', fontsize=15)\n",
    "plt.ylabel('Total', fontsize=15)\n",
    "plt.title('Category wise Sales', fontsize=20, fontstyle='italic')\n",
    "\n",
    "a=sales.groupby('category').total.sum().sort_values(ascending=False)[:5].index\n",
    "b=sales.groupby('category').total.sum().sort_values(ascending=False)[:5].values\n",
    "\n",
    "add_value_label(a,b);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4c0e930c",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "997ba438",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "90ae92d5",
   "metadata": {},
   "source": [
    "## Which payment mode is most preffered in high selling category"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "55780174",
   "metadata": {},
   "outputs": [],
   "source": [
    "mobile_tablet=sales[sales['category']=='Mobiles & Tablets']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "871d18f7",
   "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>order_id</th>\n",
       "      <th>order_date</th>\n",
       "      <th>status</th>\n",
       "      <th>item_id</th>\n",
       "      <th>sku</th>\n",
       "      <th>qty_ordered</th>\n",
       "      <th>price</th>\n",
       "      <th>value</th>\n",
       "      <th>discount_amount</th>\n",
       "      <th>total</th>\n",
       "      <th>category</th>\n",
       "      <th>payment_method</th>\n",
       "      <th>bi_st</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>Gender</th>\n",
       "      <th>age</th>\n",
       "      <th>full_name</th>\n",
       "      <th>E Mail</th>\n",
       "      <th>Customer Since</th>\n",
       "      <th>SSN</th>\n",
       "      <th>Phone No.</th>\n",
       "      <th>Place Name</th>\n",
       "      <th>County</th>\n",
       "      <th>City</th>\n",
       "      <th>State</th>\n",
       "      <th>Zip</th>\n",
       "      <th>Region</th>\n",
       "      <th>Discount_Percent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>100367360</td>\n",
       "      <td>2020-11-13</td>\n",
       "      <td>order_refunded</td>\n",
       "      <td>595192.0</td>\n",
       "      <td>MATDAN59C3C845B38F0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>47.6</td>\n",
       "      <td>47.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>47.6</td>\n",
       "      <td>Mobiles &amp; Tablets</td>\n",
       "      <td>cod</td>\n",
       "      <td>Valid</td>\n",
       "      <td>2020</td>\n",
       "      <td>Nov-2020</td>\n",
       "      <td>F</td>\n",
       "      <td>43.0</td>\n",
       "      <td>Titus, Jani</td>\n",
       "      <td>jani.titus@gmail.com</td>\n",
       "      <td>8/22/2006</td>\n",
       "      <td>627-31-5251</td>\n",
       "      <td>405-959-1129</td>\n",
       "      <td>Vinson</td>\n",
       "      <td>Harmon</td>\n",
       "      <td>Vinson</td>\n",
       "      <td>OK</td>\n",
       "      <td>73571</td>\n",
       "      <td>South</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>100354677</td>\n",
       "      <td>2020-10-01</td>\n",
       "      <td>canceled</td>\n",
       "      <td>574769.0</td>\n",
       "      <td>GFE_19_USBLEDLight</td>\n",
       "      <td>2.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>Mobiles &amp; Tablets</td>\n",
       "      <td>Payaxis</td>\n",
       "      <td>Gross</td>\n",
       "      <td>2020</td>\n",
       "      <td>Oct-2020</td>\n",
       "      <td>M</td>\n",
       "      <td>28.0</td>\n",
       "      <td>Eaker, Lee</td>\n",
       "      <td>lee.eaker@gmail.com</td>\n",
       "      <td>2/4/1981</td>\n",
       "      <td>185-86-4345</td>\n",
       "      <td>239-335-6755</td>\n",
       "      <td>Graham</td>\n",
       "      <td>Bradford</td>\n",
       "      <td>Graham</td>\n",
       "      <td>FL</td>\n",
       "      <td>32042</td>\n",
       "      <td>South</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>100354685</td>\n",
       "      <td>2020-10-01</td>\n",
       "      <td>canceled</td>\n",
       "      <td>574788.0</td>\n",
       "      <td>cc_samsung_a320-black</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3139.2</td>\n",
       "      <td>3139.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3139.2</td>\n",
       "      <td>Mobiles &amp; Tablets</td>\n",
       "      <td>Payaxis</td>\n",
       "      <td>Gross</td>\n",
       "      <td>2020</td>\n",
       "      <td>Oct-2020</td>\n",
       "      <td>F</td>\n",
       "      <td>64.0</td>\n",
       "      <td>Galle, Drema</td>\n",
       "      <td>drema.galle@gmail.com</td>\n",
       "      <td>10/19/2016</td>\n",
       "      <td>652-62-4375</td>\n",
       "      <td>229-364-7348</td>\n",
       "      <td>Farmington</td>\n",
       "      <td>Oconee</td>\n",
       "      <td>Farmington</td>\n",
       "      <td>GA</td>\n",
       "      <td>30638</td>\n",
       "      <td>South</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     order_id  order_date          status   item_id                    sku  \\\n",
       "6   100367360  2020-11-13  order_refunded  595192.0    MATDAN59C3C845B38F0   \n",
       "7   100354677  2020-10-01        canceled  574769.0     GFE_19_USBLEDLight   \n",
       "48  100354685  2020-10-01        canceled  574788.0  cc_samsung_a320-black   \n",
       "\n",
       "    qty_ordered   price   value  discount_amount   total           category  \\\n",
       "6           2.0    47.6    47.6              0.0    47.6  Mobiles & Tablets   \n",
       "7           2.0    49.0    49.0              0.0    49.0  Mobiles & Tablets   \n",
       "48          2.0  3139.2  3139.2              0.0  3139.2  Mobiles & Tablets   \n",
       "\n",
       "   payment_method  bi_st  year     month Gender   age     full_name  \\\n",
       "6             cod  Valid  2020  Nov-2020      F  43.0   Titus, Jani   \n",
       "7         Payaxis  Gross  2020  Oct-2020      M  28.0    Eaker, Lee   \n",
       "48        Payaxis  Gross  2020  Oct-2020      F  64.0  Galle, Drema   \n",
       "\n",
       "                   E Mail Customer Since          SSN    Phone No.   \\\n",
       "6    jani.titus@gmail.com      8/22/2006  627-31-5251  405-959-1129   \n",
       "7     lee.eaker@gmail.com       2/4/1981  185-86-4345  239-335-6755   \n",
       "48  drema.galle@gmail.com     10/19/2016  652-62-4375  229-364-7348   \n",
       "\n",
       "    Place Name    County        City State    Zip Region  Discount_Percent  \n",
       "6       Vinson    Harmon      Vinson    OK  73571  South               0.0  \n",
       "7       Graham  Bradford      Graham    FL  32042  South               0.0  \n",
       "48  Farmington    Oconee  Farmington    GA  30638  South               0.0  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mobile_tablet.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "18df545a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Easypay              15620\n",
       "cod                  11913\n",
       "easypay_voucher      11828\n",
       "Payaxis               9001\n",
       "bankalfalah           7352\n",
       "jazzvoucher           2595\n",
       "Easypay_MA            2012\n",
       "jazzwallet             658\n",
       "customercredit         442\n",
       "apg                    294\n",
       "mcblite                 36\n",
       "cashatdoorstep           9\n",
       "financesettlement        1\n",
       "Name: payment_method, dtype: int64"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mobile_tablet.payment_method.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "5596ef0e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15,8))\n",
    "ax=sns.countplot(y='payment_method', data=mobile_tablet,\n",
    "             order=mobile_tablet.payment_method.value_counts().index,\n",
    "             linewidth=0.5, edgecolor='black')\n",
    "label_values=mobile_tablet.payment_method.value_counts(ascending=False).values\n",
    "ax.bar_label(container=ax.containers[0], labels=label_values);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "a0bc2b0a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Men's Fashion\n",
      "Men's Fashion\n",
      "Men's Fashion\n",
      "Men's Fashion\n",
      "Men's Fashion\n",
      "Men's Fashion\n",
      "Mobiles & Tablets\n",
      "Mobiles & Tablets\n"
     ]
    },
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "\u001b[1;32m~\\AppData\\Local\\Temp/ipykernel_16324/1682117049.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mx\u001b[0m \u001b[1;32min\u001b[0m \u001b[0msales\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcategory\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      2\u001b[0m     \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 3\u001b[1;33m     \u001b[1;32mfor\u001b[0m \u001b[0my\u001b[0m \u001b[1;32min\u001b[0m \u001b[0msales\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mtotal\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      4\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0my\u001b[0m \u001b[1;32mis\u001b[0m \u001b[0mmax\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      5\u001b[0m             \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "for x in sales.category:\n",
    "    print(x)\n",
    "    for y in sales.total:\n",
    "        if y is max:\n",
    "            print(y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e6cb91fe",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1ce223b6",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "73ed3553",
   "metadata": {},
   "source": [
    "## Which customer is giving maximum bussiness"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "8f59cd41",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "64212"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sales.full_name.nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "c78daaa0",
   "metadata": {},
   "outputs": [],
   "source": [
    "##pd.pivot_table(sales, index='full_name', values='total' ,aggfunc=sum, sort=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "5d437212",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "full_name\n",
       "Dobbins, Everette     1900289.90\n",
       "Cobb, Joleen          1628440.10\n",
       "Bhatt, Graham         1568177.60\n",
       "Jauregui, Bianca      1368422.60\n",
       "Beebe, Hortencia      1295994.58\n",
       "                         ...    \n",
       "Enger, Jeremiah             0.00\n",
       "Meister, Bradford           0.00\n",
       "Petrucci, Kimberly          0.00\n",
       "Knisley, Sueann             0.00\n",
       "Scheidt, Johnathan          0.00\n",
       "Name: total, Length: 64212, dtype: float64"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sales.groupby('full_name').total.sum().sort_values(ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "3b50131b",
   "metadata": {},
   "outputs": [],
   "source": [
    "cust=sales[sales['full_name']=='Dobbins, Everette']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "ab6e0dab",
   "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>order_id</th>\n",
       "      <th>order_date</th>\n",
       "      <th>status</th>\n",
       "      <th>item_id</th>\n",
       "      <th>sku</th>\n",
       "      <th>qty_ordered</th>\n",
       "      <th>price</th>\n",
       "      <th>value</th>\n",
       "      <th>discount_amount</th>\n",
       "      <th>total</th>\n",
       "      <th>category</th>\n",
       "      <th>payment_method</th>\n",
       "      <th>bi_st</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>Gender</th>\n",
       "      <th>age</th>\n",
       "      <th>full_name</th>\n",
       "      <th>E Mail</th>\n",
       "      <th>Customer Since</th>\n",
       "      <th>SSN</th>\n",
       "      <th>Phone No.</th>\n",
       "      <th>Place Name</th>\n",
       "      <th>County</th>\n",
       "      <th>City</th>\n",
       "      <th>State</th>\n",
       "      <th>Zip</th>\n",
       "      <th>Region</th>\n",
       "      <th>Discount_Percent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>262916</th>\n",
       "      <td>100532250</td>\n",
       "      <td>2021-06-21</td>\n",
       "      <td>received</td>\n",
       "      <td>853739.0</td>\n",
       "      <td>MATAPP5A7AAB91AD66F</td>\n",
       "      <td>2.0</td>\n",
       "      <td>14204.0</td>\n",
       "      <td>14204.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>14204.0</td>\n",
       "      <td>Mobiles &amp; Tablets</td>\n",
       "      <td>bankalfalah</td>\n",
       "      <td>Valid</td>\n",
       "      <td>2021</td>\n",
       "      <td>Jun-2021</td>\n",
       "      <td>M</td>\n",
       "      <td>39.0</td>\n",
       "      <td>Dobbins, Everette</td>\n",
       "      <td>everette.dobbins@aol.com</td>\n",
       "      <td>6/12/1991</td>\n",
       "      <td>356-08-0619</td>\n",
       "      <td>228-279-2621</td>\n",
       "      <td>Noxapater</td>\n",
       "      <td>Winston</td>\n",
       "      <td>Noxapater</td>\n",
       "      <td>MS</td>\n",
       "      <td>39346</td>\n",
       "      <td>South</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262917</th>\n",
       "      <td>100532250</td>\n",
       "      <td>2021-06-21</td>\n",
       "      <td>received</td>\n",
       "      <td>853740.0</td>\n",
       "      <td>ENTSON5A69C1DD26B24</td>\n",
       "      <td>2.0</td>\n",
       "      <td>9583.3</td>\n",
       "      <td>9583.3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9583.3</td>\n",
       "      <td>Entertainment</td>\n",
       "      <td>bankalfalah</td>\n",
       "      <td>Valid</td>\n",
       "      <td>2021</td>\n",
       "      <td>Jun-2021</td>\n",
       "      <td>M</td>\n",
       "      <td>39.0</td>\n",
       "      <td>Dobbins, Everette</td>\n",
       "      <td>everette.dobbins@aol.com</td>\n",
       "      <td>6/12/1991</td>\n",
       "      <td>356-08-0619</td>\n",
       "      <td>228-279-2621</td>\n",
       "      <td>Noxapater</td>\n",
       "      <td>Winston</td>\n",
       "      <td>Noxapater</td>\n",
       "      <td>MS</td>\n",
       "      <td>39346</td>\n",
       "      <td>South</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262918</th>\n",
       "      <td>100532252</td>\n",
       "      <td>2021-06-21</td>\n",
       "      <td>received</td>\n",
       "      <td>853743.0</td>\n",
       "      <td>MATSAM5A9F892ECDF73</td>\n",
       "      <td>1.0</td>\n",
       "      <td>10169.9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Mobiles &amp; Tablets</td>\n",
       "      <td>bankalfalah</td>\n",
       "      <td>Valid</td>\n",
       "      <td>2021</td>\n",
       "      <td>Jun-2021</td>\n",
       "      <td>M</td>\n",
       "      <td>39.0</td>\n",
       "      <td>Dobbins, Everette</td>\n",
       "      <td>everette.dobbins@aol.com</td>\n",
       "      <td>6/12/1991</td>\n",
       "      <td>356-08-0619</td>\n",
       "      <td>228-279-2621</td>\n",
       "      <td>Noxapater</td>\n",
       "      <td>Winston</td>\n",
       "      <td>Noxapater</td>\n",
       "      <td>MS</td>\n",
       "      <td>39346</td>\n",
       "      <td>South</td>\n",
       "      <td>7.500005</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         order_id  order_date    status   item_id                  sku  \\\n",
       "262916  100532250  2021-06-21  received  853739.0  MATAPP5A7AAB91AD66F   \n",
       "262917  100532250  2021-06-21  received  853740.0  ENTSON5A69C1DD26B24   \n",
       "262918  100532252  2021-06-21  received  853743.0  MATSAM5A9F892ECDF73   \n",
       "\n",
       "        qty_ordered    price    value  discount_amount    total  \\\n",
       "262916          2.0  14204.0  14204.0              0.0  14204.0   \n",
       "262917          2.0   9583.3   9583.3              0.0   9583.3   \n",
       "262918          1.0  10169.9      0.0              0.0      0.0   \n",
       "\n",
       "                 category payment_method  bi_st  year     month Gender   age  \\\n",
       "262916  Mobiles & Tablets    bankalfalah  Valid  2021  Jun-2021      M  39.0   \n",
       "262917      Entertainment    bankalfalah  Valid  2021  Jun-2021      M  39.0   \n",
       "262918  Mobiles & Tablets    bankalfalah  Valid  2021  Jun-2021      M  39.0   \n",
       "\n",
       "                full_name                    E Mail Customer Since  \\\n",
       "262916  Dobbins, Everette  everette.dobbins@aol.com      6/12/1991   \n",
       "262917  Dobbins, Everette  everette.dobbins@aol.com      6/12/1991   \n",
       "262918  Dobbins, Everette  everette.dobbins@aol.com      6/12/1991   \n",
       "\n",
       "                SSN    Phone No.  Place Name   County       City State    Zip  \\\n",
       "262916  356-08-0619  228-279-2621  Noxapater  Winston  Noxapater    MS  39346   \n",
       "262917  356-08-0619  228-279-2621  Noxapater  Winston  Noxapater    MS  39346   \n",
       "262918  356-08-0619  228-279-2621  Noxapater  Winston  Noxapater    MS  39346   \n",
       "\n",
       "       Region  Discount_Percent  \n",
       "262916  South          0.000000  \n",
       "262917  South          0.000000  \n",
       "262918  South          7.500005  "
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cust.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "ef7b57a2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1900289.9000000001"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cust.total.sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c043659b",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9355c308",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "5a6d2f8d",
   "metadata": {},
   "source": [
    "## Which is the category, the person who is giving maximum bussiness is shopping more"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "6c85f511",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>total</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>category</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Appliances</th>\n",
       "      <td>12478.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Beauty &amp; Grooming</th>\n",
       "      <td>766.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Entertainment</th>\n",
       "      <td>88590.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Home &amp; Living</th>\n",
       "      <td>1700.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Men's Fashion</th>\n",
       "      <td>1598.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mobiles &amp; Tablets</th>\n",
       "      <td>1795155.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       total\n",
       "category                    \n",
       "Appliances           12478.9\n",
       "Beauty & Grooming      766.0\n",
       "Entertainment        88590.7\n",
       "Home & Living         1700.0\n",
       "Men's Fashion         1598.8\n",
       "Mobiles & Tablets  1795155.5"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.pivot_table(cust, index='category', values='total', aggfunc=sum)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "563aa918",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Mobiles & Tablets', 'Entertainment', 'Appliances', 'Home & Living',\n",
       "       'Men's Fashion', 'Beauty & Grooming'],\n",
       "      dtype='object', name='category')"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cust.groupby('category').total.sum().sort_values(ascending=False).index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "c42f1830",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x560 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def add_value_label(x_list,y_list):\n",
    "    for i in range(len(x_list)):\n",
    "        plt.text(i,y_list[i]/2,y_list[i], ha=\"center\", fontsize=15)\n",
    "\n",
    "\n",
    "plt.style.use('classic')\n",
    "plt.figure(figsize=(8,7))\n",
    "sns.barplot(y='total', x='category', data=cust, estimator=sum, ci=None,\n",
    "            order=cust.groupby('category').total.sum().sort_values(ascending=False).index)\n",
    "plt.xlabel('Category', fontsize=15)\n",
    "plt.ylabel('Total sales amount', fontsize=15)\n",
    "plt.xticks(rotation=45)\n",
    "plt.title('Shooping by Dobbins Everette')\n",
    "\n",
    "a=cust.groupby('category').total.sum().sort_values(ascending=False).index\n",
    "b=cust.groupby('category').total.sum().sort_values(ascending=False).values\n",
    "\n",
    "add_value_label(a,b)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5b1012e9",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2390dad4",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "fdfbebc3",
   "metadata": {},
   "source": [
    "## Which region has highest sales"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "e1a98425",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sales.Region.nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "b7f909c3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>total</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Region</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Midwest</th>\n",
       "      <td>6.292063e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Northeast</th>\n",
       "      <td>3.996425e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South</th>\n",
       "      <td>8.964785e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>West</th>\n",
       "      <td>4.111747e+07</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  total\n",
       "Region                 \n",
       "Midwest    6.292063e+07\n",
       "Northeast  3.996425e+07\n",
       "South      8.964785e+07\n",
       "West       4.111747e+07"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.pivot_table(sales, index='Region', values='total', aggfunc=sum)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "c59f02ef",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def add_value_label(x_list,y_list):\n",
    "    for i in range(len(x_list)):\n",
    "        plt.text(i,y_list[i]/2,y_list[i], ha=\"center\", fontsize=15)\n",
    "\n",
    "sns.barplot(x='Region', y='total', data=sales, estimator=sum, ci=None,\n",
    "            order=sales.groupby('Region').total.sum().sort_values(ascending=False).index)\n",
    "\n",
    "a=sales.groupby('Region').total.sum().sort_values(ascending=False).index\n",
    "b=sales.groupby('Region').total.sum().sort_values(ascending=False).values\n",
    "\n",
    "add_value_label(a,b)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e59b7b91",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fe75aa31",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "668b72e2",
   "metadata": {},
   "source": [
    "## Which County has highest sales"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "0b7f43e0",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2551"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sales.County.nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "4e283af5",
   "metadata": {},
   "outputs": [],
   "source": [
    "##pd.pivot_table(sales, index='County', values='total', aggfunc=sum, sort=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "fefcaf11",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "County\n",
       "Los Angeles    2.835745e+06\n",
       "Monroe         2.173749e+06\n",
       "Jefferson      2.145536e+06\n",
       "Winston        1.949392e+06\n",
       "Polk           1.848129e+06\n",
       "                   ...     \n",
       "Minneapolis    0.000000e+00\n",
       "Avondale       0.000000e+00\n",
       "Saldee         0.000000e+00\n",
       "Bryceland      0.000000e+00\n",
       "Blackford      0.000000e+00\n",
       "Name: total, Length: 2551, dtype: float64"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sales.groupby('County').total.sum().sort_values(ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8f33b174",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0e2af0b2",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "31c83526",
   "metadata": {},
   "source": [
    "## Within the county which State has maximum sale"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "3f5d46fb",
   "metadata": {},
   "outputs": [],
   "source": [
    "los_angeles=sales[sales['County']=='Los Angeles']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "595cf9ad",
   "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>order_id</th>\n",
       "      <th>order_date</th>\n",
       "      <th>status</th>\n",
       "      <th>item_id</th>\n",
       "      <th>sku</th>\n",
       "      <th>qty_ordered</th>\n",
       "      <th>price</th>\n",
       "      <th>value</th>\n",
       "      <th>discount_amount</th>\n",
       "      <th>total</th>\n",
       "      <th>category</th>\n",
       "      <th>payment_method</th>\n",
       "      <th>bi_st</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>Gender</th>\n",
       "      <th>age</th>\n",
       "      <th>full_name</th>\n",
       "      <th>E Mail</th>\n",
       "      <th>Customer Since</th>\n",
       "      <th>SSN</th>\n",
       "      <th>Phone No.</th>\n",
       "      <th>Place Name</th>\n",
       "      <th>County</th>\n",
       "      <th>City</th>\n",
       "      <th>State</th>\n",
       "      <th>Zip</th>\n",
       "      <th>Region</th>\n",
       "      <th>Discount_Percent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>210</th>\n",
       "      <td>100354706</td>\n",
       "      <td>2020-10-01</td>\n",
       "      <td>canceled</td>\n",
       "      <td>574823.0</td>\n",
       "      <td>Anex_Anex_AG-174 Jucier Blender Grinder</td>\n",
       "      <td>2.0</td>\n",
       "      <td>445.0</td>\n",
       "      <td>445.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>445.0</td>\n",
       "      <td>Appliances</td>\n",
       "      <td>Payaxis</td>\n",
       "      <td>Gross</td>\n",
       "      <td>2020</td>\n",
       "      <td>Oct-2020</td>\n",
       "      <td>M</td>\n",
       "      <td>46.0</td>\n",
       "      <td>Henrich, Wallace</td>\n",
       "      <td>wallace.henrich@yahoo.com</td>\n",
       "      <td>11/10/2015</td>\n",
       "      <td>478-43-6707</td>\n",
       "      <td>209-649-0095</td>\n",
       "      <td>El Monte</td>\n",
       "      <td>Los Angeles</td>\n",
       "      <td>El Monte</td>\n",
       "      <td>CA</td>\n",
       "      <td>91734</td>\n",
       "      <td>West</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>211</th>\n",
       "      <td>100354706</td>\n",
       "      <td>2020-10-01</td>\n",
       "      <td>canceled</td>\n",
       "      <td>574824.0</td>\n",
       "      <td>ZA_qmobile_NoirE14G-Gold</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1279.9</td>\n",
       "      <td>2559.8</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2559.8</td>\n",
       "      <td>Mobiles &amp; Tablets</td>\n",
       "      <td>Payaxis</td>\n",
       "      <td>Gross</td>\n",
       "      <td>2020</td>\n",
       "      <td>Oct-2020</td>\n",
       "      <td>M</td>\n",
       "      <td>46.0</td>\n",
       "      <td>Henrich, Wallace</td>\n",
       "      <td>wallace.henrich@yahoo.com</td>\n",
       "      <td>11/10/2015</td>\n",
       "      <td>478-43-6707</td>\n",
       "      <td>209-649-0095</td>\n",
       "      <td>El Monte</td>\n",
       "      <td>Los Angeles</td>\n",
       "      <td>El Monte</td>\n",
       "      <td>CA</td>\n",
       "      <td>91734</td>\n",
       "      <td>West</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>212</th>\n",
       "      <td>100354706</td>\n",
       "      <td>2020-10-01</td>\n",
       "      <td>canceled</td>\n",
       "      <td>574825.0</td>\n",
       "      <td>Lenovo-K6Karate-Gold</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1690.0</td>\n",
       "      <td>1690.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1690.0</td>\n",
       "      <td>Mobiles &amp; Tablets</td>\n",
       "      <td>Payaxis</td>\n",
       "      <td>Gross</td>\n",
       "      <td>2020</td>\n",
       "      <td>Oct-2020</td>\n",
       "      <td>M</td>\n",
       "      <td>46.0</td>\n",
       "      <td>Henrich, Wallace</td>\n",
       "      <td>wallace.henrich@yahoo.com</td>\n",
       "      <td>11/10/2015</td>\n",
       "      <td>478-43-6707</td>\n",
       "      <td>209-649-0095</td>\n",
       "      <td>El Monte</td>\n",
       "      <td>Los Angeles</td>\n",
       "      <td>El Monte</td>\n",
       "      <td>CA</td>\n",
       "      <td>91734</td>\n",
       "      <td>West</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      order_id  order_date    status   item_id  \\\n",
       "210  100354706  2020-10-01  canceled  574823.0   \n",
       "211  100354706  2020-10-01  canceled  574824.0   \n",
       "212  100354706  2020-10-01  canceled  574825.0   \n",
       "\n",
       "                                         sku  qty_ordered   price   value  \\\n",
       "210  Anex_Anex_AG-174 Jucier Blender Grinder          2.0   445.0   445.0   \n",
       "211                 ZA_qmobile_NoirE14G-Gold          3.0  1279.9  2559.8   \n",
       "212                     Lenovo-K6Karate-Gold          2.0  1690.0  1690.0   \n",
       "\n",
       "     discount_amount   total           category payment_method  bi_st  year  \\\n",
       "210              0.0   445.0         Appliances        Payaxis  Gross  2020   \n",
       "211              0.0  2559.8  Mobiles & Tablets        Payaxis  Gross  2020   \n",
       "212              0.0  1690.0  Mobiles & Tablets        Payaxis  Gross  2020   \n",
       "\n",
       "        month Gender   age         full_name                     E Mail  \\\n",
       "210  Oct-2020      M  46.0  Henrich, Wallace  wallace.henrich@yahoo.com   \n",
       "211  Oct-2020      M  46.0  Henrich, Wallace  wallace.henrich@yahoo.com   \n",
       "212  Oct-2020      M  46.0  Henrich, Wallace  wallace.henrich@yahoo.com   \n",
       "\n",
       "    Customer Since          SSN    Phone No.  Place Name       County  \\\n",
       "210     11/10/2015  478-43-6707  209-649-0095   El Monte  Los Angeles   \n",
       "211     11/10/2015  478-43-6707  209-649-0095   El Monte  Los Angeles   \n",
       "212     11/10/2015  478-43-6707  209-649-0095   El Monte  Los Angeles   \n",
       "\n",
       "         City State    Zip Region  Discount_Percent  \n",
       "210  El Monte    CA  91734   West               0.0  \n",
       "211  El Monte    CA  91734   West               0.0  \n",
       "212  El Monte    CA  91734   West               0.0  "
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "los_angeles.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "75f6c626",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "los_angeles.State.nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "0ab640d3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>total</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>State</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>CA</th>\n",
       "      <td>2.835745e+06</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              total\n",
       "State              \n",
       "CA     2.835745e+06"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.pivot_table(los_angeles, index='State', values='total', aggfunc=sum)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3a81babd",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "258c109c",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "5876992e",
   "metadata": {},
   "source": [
    "## Which state giving more business"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "2b54ca47",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "51"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sales.State.nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "1939a017",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "State\n",
       "TX    1.546746e+07\n",
       "CA    1.387618e+07\n",
       "NY    1.136510e+07\n",
       "PA    1.015904e+07\n",
       "IL    9.106895e+06\n",
       "FL    8.459037e+06\n",
       "VA    8.193937e+06\n",
       "OH    8.147443e+06\n",
       "MO    8.000870e+06\n",
       "KY    6.994809e+06\n",
       "MS    6.485483e+06\n",
       "NC    6.363723e+06\n",
       "IN    6.307449e+06\n",
       "IA    6.254494e+06\n",
       "MN    5.384620e+06\n",
       "WV    5.284802e+06\n",
       "MI    5.181664e+06\n",
       "GA    5.162799e+06\n",
       "NJ    5.130792e+06\n",
       "TN    4.530630e+06\n",
       "OK    4.244667e+06\n",
       "MA    4.180137e+06\n",
       "WI    4.067436e+06\n",
       "AL    3.802490e+06\n",
       "CO    3.772435e+06\n",
       "WA    3.765998e+06\n",
       "LA    3.729478e+06\n",
       "AR    3.708783e+06\n",
       "MT    3.276356e+06\n",
       "KS    3.260089e+06\n",
       "MD    3.123252e+06\n",
       "AZ    3.116258e+06\n",
       "ME    2.846749e+06\n",
       "NE    2.829867e+06\n",
       "VT    2.751958e+06\n",
       "OR    2.496124e+06\n",
       "ND    2.420395e+06\n",
       "SC    2.303708e+06\n",
       "NM    2.193450e+06\n",
       "AK    1.967323e+06\n",
       "SD    1.959410e+06\n",
       "UT    1.957998e+06\n",
       "CT    1.893172e+06\n",
       "ID    1.678923e+06\n",
       "NV    1.360255e+06\n",
       "NH    1.331460e+06\n",
       "DC    1.311284e+06\n",
       "WY    1.034336e+06\n",
       "HI    6.218324e+05\n",
       "DE    4.815116e+05\n",
       "RI    3.058381e+05\n",
       "Name: total, dtype: float64"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sales.groupby('State').total.sum().sort_values(ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "7515b867",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['TX', 'CA', 'NY', 'PA', 'IL', 'FL', 'VA', 'OH', 'MO', 'KY', 'MS', 'NC',\n",
       "       'IN', 'IA', 'MN', 'WV', 'MI', 'GA', 'NJ', 'TN', 'OK', 'MA', 'WI', 'AL',\n",
       "       'CO', 'WA', 'LA', 'AR', 'MT', 'KS', 'MD', 'AZ', 'ME', 'NE', 'VT', 'OR',\n",
       "       'ND', 'SC', 'NM', 'AK', 'SD', 'UT', 'CT', 'ID', 'NV', 'NH', 'DC', 'WY',\n",
       "       'HI', 'DE', 'RI'],\n",
       "      dtype='object', name='State')"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sales.groupby('State').total.sum().sort_values(ascending=False).index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "cc155f21",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 800x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def add_value_label(x_list,y_list):\n",
    "    for i in range(len(x_list)):\n",
    "        plt.annotate(y_list[i],(i,y_list[i]), ha='center')\n",
    "\n",
    "plt.figure(figsize=(10,6))\n",
    "sns.barplot(x='State', y='total', data=sales, estimator=sum, ci=None,\n",
    "            order=sales.groupby('State').total.sum().sort_values(ascending=False)[:5].index)\n",
    "plt.xlabel('States')\n",
    "plt.ylabel('Total sales')\n",
    "plt.xticks(rotation=90)\n",
    "plt.title('Total sales in States', fontsize=20, fontstyle='italic')\n",
    "\n",
    "a=sales.groupby('State').total.sum().sort_values(ascending=False)[:5].index\n",
    "b=sales.groupby('State').total.sum().sort_values(ascending=False)[:5].values\n",
    "add_value_label(a,b);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a9d28c77",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2c5db0b0",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "c8f15acc",
   "metadata": {},
   "source": [
    "## Within State which city has maximum sale"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "0bf8fb6b",
   "metadata": {},
   "outputs": [],
   "source": [
    "sales_tx=sales[sales['State']=='TX']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "0097ddfe",
   "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>order_id</th>\n",
       "      <th>order_date</th>\n",
       "      <th>status</th>\n",
       "      <th>item_id</th>\n",
       "      <th>sku</th>\n",
       "      <th>qty_ordered</th>\n",
       "      <th>price</th>\n",
       "      <th>value</th>\n",
       "      <th>discount_amount</th>\n",
       "      <th>total</th>\n",
       "      <th>category</th>\n",
       "      <th>payment_method</th>\n",
       "      <th>bi_st</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>Gender</th>\n",
       "      <th>age</th>\n",
       "      <th>full_name</th>\n",
       "      <th>E Mail</th>\n",
       "      <th>Customer Since</th>\n",
       "      <th>SSN</th>\n",
       "      <th>Phone No.</th>\n",
       "      <th>Place Name</th>\n",
       "      <th>County</th>\n",
       "      <th>City</th>\n",
       "      <th>State</th>\n",
       "      <th>Zip</th>\n",
       "      <th>Region</th>\n",
       "      <th>Discount_Percent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>346</th>\n",
       "      <td>100354721</td>\n",
       "      <td>2020-10-01</td>\n",
       "      <td>complete</td>\n",
       "      <td>574860.0</td>\n",
       "      <td>NDF_Fry Seeds-long</td>\n",
       "      <td>4.0</td>\n",
       "      <td>21.3</td>\n",
       "      <td>63.9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>63.9</td>\n",
       "      <td>Soghaat</td>\n",
       "      <td>Payaxis</td>\n",
       "      <td>Net</td>\n",
       "      <td>2020</td>\n",
       "      <td>Oct-2020</td>\n",
       "      <td>F</td>\n",
       "      <td>45.0</td>\n",
       "      <td>Grantham, Heidy</td>\n",
       "      <td>heidy.grantham@gmail.com</td>\n",
       "      <td>11/29/2003</td>\n",
       "      <td>620-85-6406</td>\n",
       "      <td>210-589-2683</td>\n",
       "      <td>Baytown</td>\n",
       "      <td>Harris</td>\n",
       "      <td>Baytown</td>\n",
       "      <td>TX</td>\n",
       "      <td>77522</td>\n",
       "      <td>South</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>347</th>\n",
       "      <td>100354721</td>\n",
       "      <td>2020-10-01</td>\n",
       "      <td>complete</td>\n",
       "      <td>574861.0</td>\n",
       "      <td>cr_PUMPKIN SEEDS LARGE</td>\n",
       "      <td>2.0</td>\n",
       "      <td>22.5</td>\n",
       "      <td>22.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>22.5</td>\n",
       "      <td>Soghaat</td>\n",
       "      <td>Payaxis</td>\n",
       "      <td>Net</td>\n",
       "      <td>2020</td>\n",
       "      <td>Oct-2020</td>\n",
       "      <td>F</td>\n",
       "      <td>45.0</td>\n",
       "      <td>Grantham, Heidy</td>\n",
       "      <td>heidy.grantham@gmail.com</td>\n",
       "      <td>11/29/2003</td>\n",
       "      <td>620-85-6406</td>\n",
       "      <td>210-589-2683</td>\n",
       "      <td>Baytown</td>\n",
       "      <td>Harris</td>\n",
       "      <td>Baytown</td>\n",
       "      <td>TX</td>\n",
       "      <td>77522</td>\n",
       "      <td>South</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>348</th>\n",
       "      <td>100357650</td>\n",
       "      <td>2020-10-17</td>\n",
       "      <td>order_refunded</td>\n",
       "      <td>580149.0</td>\n",
       "      <td>KABEDE59AC17AAD4BBD-2-3 Years</td>\n",
       "      <td>2.0</td>\n",
       "      <td>220.0</td>\n",
       "      <td>220.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>220.0</td>\n",
       "      <td>Kids &amp; Baby</td>\n",
       "      <td>Payaxis</td>\n",
       "      <td>Valid</td>\n",
       "      <td>2020</td>\n",
       "      <td>Oct-2020</td>\n",
       "      <td>F</td>\n",
       "      <td>45.0</td>\n",
       "      <td>Grantham, Heidy</td>\n",
       "      <td>heidy.grantham@gmail.com</td>\n",
       "      <td>11/29/2003</td>\n",
       "      <td>620-85-6406</td>\n",
       "      <td>210-589-2683</td>\n",
       "      <td>Baytown</td>\n",
       "      <td>Harris</td>\n",
       "      <td>Baytown</td>\n",
       "      <td>TX</td>\n",
       "      <td>77522</td>\n",
       "      <td>South</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      order_id  order_date          status   item_id  \\\n",
       "346  100354721  2020-10-01        complete  574860.0   \n",
       "347  100354721  2020-10-01        complete  574861.0   \n",
       "348  100357650  2020-10-17  order_refunded  580149.0   \n",
       "\n",
       "                               sku  qty_ordered  price  value  \\\n",
       "346             NDF_Fry Seeds-long          4.0   21.3   63.9   \n",
       "347         cr_PUMPKIN SEEDS LARGE          2.0   22.5   22.5   \n",
       "348  KABEDE59AC17AAD4BBD-2-3 Years          2.0  220.0  220.0   \n",
       "\n",
       "     discount_amount  total     category payment_method  bi_st  year  \\\n",
       "346              0.0   63.9      Soghaat        Payaxis    Net  2020   \n",
       "347              0.0   22.5      Soghaat        Payaxis    Net  2020   \n",
       "348              0.0  220.0  Kids & Baby        Payaxis  Valid  2020   \n",
       "\n",
       "        month Gender   age        full_name                    E Mail  \\\n",
       "346  Oct-2020      F  45.0  Grantham, Heidy  heidy.grantham@gmail.com   \n",
       "347  Oct-2020      F  45.0  Grantham, Heidy  heidy.grantham@gmail.com   \n",
       "348  Oct-2020      F  45.0  Grantham, Heidy  heidy.grantham@gmail.com   \n",
       "\n",
       "    Customer Since          SSN    Phone No.  Place Name  County     City  \\\n",
       "346     11/29/2003  620-85-6406  210-589-2683    Baytown  Harris  Baytown   \n",
       "347     11/29/2003  620-85-6406  210-589-2683    Baytown  Harris  Baytown   \n",
       "348     11/29/2003  620-85-6406  210-589-2683    Baytown  Harris  Baytown   \n",
       "\n",
       "    State    Zip Region  Discount_Percent  \n",
       "346    TX  77522  South               0.0  \n",
       "347    TX  77522  South               0.0  \n",
       "348    TX  77522  South               0.0  "
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sales_tx.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "id": "3833090c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1188"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sales_tx.City.nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "36a7fcf1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "City\n",
       "Raymondville    0.000000e+00\n",
       "Bend            0.000000e+00\n",
       "Springlake      0.000000e+00\n",
       "Dayton          0.000000e+00\n",
       "Crosbyton       0.000000e+00\n",
       "                    ...     \n",
       "Sour Lake       6.299461e+05\n",
       "El Paso         6.305386e+05\n",
       "San Antonio     6.632424e+05\n",
       "Austin          6.909021e+05\n",
       "Houston         1.069884e+06\n",
       "Name: total, Length: 1188, dtype: float64"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sales_tx.groupby('City').total.sum().sort_values(ascending=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "d4b86603",
   "metadata": {},
   "outputs": [],
   "source": [
    "## Huston city has more sale around $1069884"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8c29b441",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "e53310d0",
   "metadata": {},
   "source": [
    "## Within City which place has maximum sale"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "01728983",
   "metadata": {},
   "outputs": [],
   "source": [
    "sales_houston=sales_tx[sales_tx['City']=='Houston']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "ec11f479",
   "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>order_id</th>\n",
       "      <th>order_date</th>\n",
       "      <th>status</th>\n",
       "      <th>item_id</th>\n",
       "      <th>sku</th>\n",
       "      <th>qty_ordered</th>\n",
       "      <th>price</th>\n",
       "      <th>value</th>\n",
       "      <th>discount_amount</th>\n",
       "      <th>total</th>\n",
       "      <th>category</th>\n",
       "      <th>payment_method</th>\n",
       "      <th>bi_st</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>Gender</th>\n",
       "      <th>age</th>\n",
       "      <th>full_name</th>\n",
       "      <th>E Mail</th>\n",
       "      <th>Customer Since</th>\n",
       "      <th>SSN</th>\n",
       "      <th>Phone No.</th>\n",
       "      <th>Place Name</th>\n",
       "      <th>County</th>\n",
       "      <th>City</th>\n",
       "      <th>State</th>\n",
       "      <th>Zip</th>\n",
       "      <th>Region</th>\n",
       "      <th>Discount_Percent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2019</th>\n",
       "      <td>100354838</td>\n",
       "      <td>2020-10-01</td>\n",
       "      <td>complete</td>\n",
       "      <td>575078.0</td>\n",
       "      <td>Fpakistan_FP041</td>\n",
       "      <td>2.0</td>\n",
       "      <td>87.4</td>\n",
       "      <td>87.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>87.4</td>\n",
       "      <td>Home &amp; Living</td>\n",
       "      <td>cod</td>\n",
       "      <td>Net</td>\n",
       "      <td>2020</td>\n",
       "      <td>Oct-2020</td>\n",
       "      <td>M</td>\n",
       "      <td>26.0</td>\n",
       "      <td>Pando, Reynaldo</td>\n",
       "      <td>reynaldo.pando@aol.com</td>\n",
       "      <td>10/10/2013</td>\n",
       "      <td>049-15-5023</td>\n",
       "      <td>210-541-3813</td>\n",
       "      <td>Houston</td>\n",
       "      <td>Harris</td>\n",
       "      <td>Houston</td>\n",
       "      <td>TX</td>\n",
       "      <td>77033</td>\n",
       "      <td>South</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9494</th>\n",
       "      <td>100355803</td>\n",
       "      <td>2020-10-06</td>\n",
       "      <td>complete</td>\n",
       "      <td>576859.0</td>\n",
       "      <td>sanaulla_MAH17L2 2A</td>\n",
       "      <td>2.0</td>\n",
       "      <td>169.0</td>\n",
       "      <td>169.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>169.0</td>\n",
       "      <td>Women's Fashion</td>\n",
       "      <td>cod</td>\n",
       "      <td>Net</td>\n",
       "      <td>2020</td>\n",
       "      <td>Oct-2020</td>\n",
       "      <td>F</td>\n",
       "      <td>51.0</td>\n",
       "      <td>Folks, Karma</td>\n",
       "      <td>karma.folks@ibm.com</td>\n",
       "      <td>4/5/2015</td>\n",
       "      <td>656-36-8224</td>\n",
       "      <td>210-699-4648</td>\n",
       "      <td>Houston</td>\n",
       "      <td>Harris</td>\n",
       "      <td>Houston</td>\n",
       "      <td>TX</td>\n",
       "      <td>77269</td>\n",
       "      <td>South</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9495</th>\n",
       "      <td>100431603</td>\n",
       "      <td>2021-01-02</td>\n",
       "      <td>complete</td>\n",
       "      <td>705575.0</td>\n",
       "      <td>WOFGUL59C243394F6ED</td>\n",
       "      <td>2.0</td>\n",
       "      <td>245.0</td>\n",
       "      <td>245.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>245.0</td>\n",
       "      <td>Women's Fashion</td>\n",
       "      <td>cod</td>\n",
       "      <td>Net</td>\n",
       "      <td>2021</td>\n",
       "      <td>Jan-2021</td>\n",
       "      <td>F</td>\n",
       "      <td>51.0</td>\n",
       "      <td>Folks, Karma</td>\n",
       "      <td>karma.folks@ibm.com</td>\n",
       "      <td>4/5/2015</td>\n",
       "      <td>656-36-8224</td>\n",
       "      <td>210-699-4648</td>\n",
       "      <td>Houston</td>\n",
       "      <td>Harris</td>\n",
       "      <td>Houston</td>\n",
       "      <td>TX</td>\n",
       "      <td>77269</td>\n",
       "      <td>South</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       order_id  order_date    status   item_id                  sku  \\\n",
       "2019  100354838  2020-10-01  complete  575078.0      Fpakistan_FP041   \n",
       "9494  100355803  2020-10-06  complete  576859.0  sanaulla_MAH17L2 2A   \n",
       "9495  100431603  2021-01-02  complete  705575.0  WOFGUL59C243394F6ED   \n",
       "\n",
       "      qty_ordered  price  value  discount_amount  total         category  \\\n",
       "2019          2.0   87.4   87.4              0.0   87.4    Home & Living   \n",
       "9494          2.0  169.0  169.0              0.0  169.0  Women's Fashion   \n",
       "9495          2.0  245.0  245.0              0.0  245.0  Women's Fashion   \n",
       "\n",
       "     payment_method bi_st  year     month Gender   age        full_name  \\\n",
       "2019            cod   Net  2020  Oct-2020      M  26.0  Pando, Reynaldo   \n",
       "9494            cod   Net  2020  Oct-2020      F  51.0     Folks, Karma   \n",
       "9495            cod   Net  2021  Jan-2021      F  51.0     Folks, Karma   \n",
       "\n",
       "                      E Mail Customer Since          SSN    Phone No.   \\\n",
       "2019  reynaldo.pando@aol.com     10/10/2013  049-15-5023  210-541-3813   \n",
       "9494     karma.folks@ibm.com       4/5/2015  656-36-8224  210-699-4648   \n",
       "9495     karma.folks@ibm.com       4/5/2015  656-36-8224  210-699-4648   \n",
       "\n",
       "     Place Name  County     City State    Zip Region  Discount_Percent  \n",
       "2019    Houston  Harris  Houston    TX  77033  South               0.0  \n",
       "9494    Houston  Harris  Houston    TX  77269  South               0.0  \n",
       "9495    Houston  Harris  Houston    TX  77269  South               0.0  "
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sales_houston.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "e8939a8b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Houston'], dtype=object)"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sales_houston['Place Name'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "id": "5313e0cc",
   "metadata": {},
   "outputs": [],
   "source": [
    "## so the sales is same as houston city"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "82b875f9",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b0e10938",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "d00830e6",
   "metadata": {},
   "source": [
    "## Analysis on order status"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "id": "afc35a6d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['received', 'complete', 'order_refunded', 'canceled', 'refund',\n",
       "       'cod', 'paid', 'processing', 'closed', 'pending', 'pending_paypal',\n",
       "       'payment_review', 'holded'], dtype=object)"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sales.status.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a384d05d",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "id": "5784b243",
   "metadata": {},
   "outputs": [],
   "source": [
    "## check the count of each order status"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "id": "1f5232e2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "canceled          112166\n",
       "complete           88968\n",
       "received           51775\n",
       "order_refunded     25713\n",
       "refund              3820\n",
       "cod                 2851\n",
       "paid                 756\n",
       "closed               176\n",
       "payment_review        57\n",
       "pending               48\n",
       "processing            33\n",
       "holded                25\n",
       "pending_paypal         4\n",
       "Name: status, dtype: int64"
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sales.status.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "cb57d782",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['canceled', 'complete', 'received', 'order_refunded', 'refund', 'cod',\n",
       "       'paid', 'closed', 'payment_review', 'pending', 'processing', 'holded',\n",
       "       'pending_paypal'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sales.status.value_counts().indexa"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "dd1f158c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax=sns.countplot(x='status', data=sales,\n",
    "            order=sales.status.value_counts().index)\n",
    "plt.xticks(rotation=45)\n",
    "\n",
    "value_label=sales.status.value_counts().values\n",
    "ax.bar_label(container=ax.containers[0], labels=value_label);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "id": "b0213d93",
   "metadata": {},
   "outputs": [],
   "source": [
    "## concluded that the order is cancelled by customers most of the time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "75003161",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "40975892",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "b57bfa03",
   "metadata": {},
   "source": [
    "## In which category the order is getting cancelled most of the time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "51ef023a",
   "metadata": {},
   "outputs": [],
   "source": [
    "cancel_order=sales[sales['status']=='canceled']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "id": "e6f4b905",
   "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>order_id</th>\n",
       "      <th>order_date</th>\n",
       "      <th>status</th>\n",
       "      <th>item_id</th>\n",
       "      <th>sku</th>\n",
       "      <th>qty_ordered</th>\n",
       "      <th>price</th>\n",
       "      <th>value</th>\n",
       "      <th>discount_amount</th>\n",
       "      <th>total</th>\n",
       "      <th>category</th>\n",
       "      <th>payment_method</th>\n",
       "      <th>bi_st</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>Gender</th>\n",
       "      <th>age</th>\n",
       "      <th>full_name</th>\n",
       "      <th>E Mail</th>\n",
       "      <th>Customer Since</th>\n",
       "      <th>SSN</th>\n",
       "      <th>Phone No.</th>\n",
       "      <th>Place Name</th>\n",
       "      <th>County</th>\n",
       "      <th>City</th>\n",
       "      <th>State</th>\n",
       "      <th>Zip</th>\n",
       "      <th>Region</th>\n",
       "      <th>Discount_Percent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>100354677</td>\n",
       "      <td>2020-10-01</td>\n",
       "      <td>canceled</td>\n",
       "      <td>574769.0</td>\n",
       "      <td>GFE_19_USBLEDLight</td>\n",
       "      <td>2.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>Mobiles &amp; Tablets</td>\n",
       "      <td>Payaxis</td>\n",
       "      <td>Gross</td>\n",
       "      <td>2020</td>\n",
       "      <td>Oct-2020</td>\n",
       "      <td>M</td>\n",
       "      <td>28.0</td>\n",
       "      <td>Eaker, Lee</td>\n",
       "      <td>lee.eaker@gmail.com</td>\n",
       "      <td>2/4/1981</td>\n",
       "      <td>185-86-4345</td>\n",
       "      <td>239-335-6755</td>\n",
       "      <td>Graham</td>\n",
       "      <td>Bradford</td>\n",
       "      <td>Graham</td>\n",
       "      <td>FL</td>\n",
       "      <td>32042</td>\n",
       "      <td>South</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>100354677</td>\n",
       "      <td>2020-10-01</td>\n",
       "      <td>canceled</td>\n",
       "      <td>574770.0</td>\n",
       "      <td>oasis_Kingston-32GB-DTIG4</td>\n",
       "      <td>2.0</td>\n",
       "      <td>135.0</td>\n",
       "      <td>135.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>135.0</td>\n",
       "      <td>Computing</td>\n",
       "      <td>Payaxis</td>\n",
       "      <td>Gross</td>\n",
       "      <td>2020</td>\n",
       "      <td>Oct-2020</td>\n",
       "      <td>M</td>\n",
       "      <td>28.0</td>\n",
       "      <td>Eaker, Lee</td>\n",
       "      <td>lee.eaker@gmail.com</td>\n",
       "      <td>2/4/1981</td>\n",
       "      <td>185-86-4345</td>\n",
       "      <td>239-335-6755</td>\n",
       "      <td>Graham</td>\n",
       "      <td>Bradford</td>\n",
       "      <td>Graham</td>\n",
       "      <td>FL</td>\n",
       "      <td>32042</td>\n",
       "      <td>South</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>100354677</td>\n",
       "      <td>2020-10-01</td>\n",
       "      <td>canceled</td>\n",
       "      <td>574771.0</td>\n",
       "      <td>Geepas_GSB5420</td>\n",
       "      <td>2.0</td>\n",
       "      <td>549.9</td>\n",
       "      <td>549.9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>549.9</td>\n",
       "      <td>Appliances</td>\n",
       "      <td>Payaxis</td>\n",
       "      <td>Gross</td>\n",
       "      <td>2020</td>\n",
       "      <td>Oct-2020</td>\n",
       "      <td>M</td>\n",
       "      <td>28.0</td>\n",
       "      <td>Eaker, Lee</td>\n",
       "      <td>lee.eaker@gmail.com</td>\n",
       "      <td>2/4/1981</td>\n",
       "      <td>185-86-4345</td>\n",
       "      <td>239-335-6755</td>\n",
       "      <td>Graham</td>\n",
       "      <td>Bradford</td>\n",
       "      <td>Graham</td>\n",
       "      <td>FL</td>\n",
       "      <td>32042</td>\n",
       "      <td>South</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    order_id  order_date    status   item_id                        sku  \\\n",
       "7  100354677  2020-10-01  canceled  574769.0         GFE_19_USBLEDLight   \n",
       "8  100354677  2020-10-01  canceled  574770.0  oasis_Kingston-32GB-DTIG4   \n",
       "9  100354677  2020-10-01  canceled  574771.0             Geepas_GSB5420   \n",
       "\n",
       "   qty_ordered  price  value  discount_amount  total           category  \\\n",
       "7          2.0   49.0   49.0              0.0   49.0  Mobiles & Tablets   \n",
       "8          2.0  135.0  135.0              0.0  135.0          Computing   \n",
       "9          2.0  549.9  549.9              0.0  549.9         Appliances   \n",
       "\n",
       "  payment_method  bi_st  year     month Gender   age   full_name  \\\n",
       "7        Payaxis  Gross  2020  Oct-2020      M  28.0  Eaker, Lee   \n",
       "8        Payaxis  Gross  2020  Oct-2020      M  28.0  Eaker, Lee   \n",
       "9        Payaxis  Gross  2020  Oct-2020      M  28.0  Eaker, Lee   \n",
       "\n",
       "                E Mail Customer Since          SSN    Phone No.  Place Name  \\\n",
       "7  lee.eaker@gmail.com       2/4/1981  185-86-4345  239-335-6755     Graham   \n",
       "8  lee.eaker@gmail.com       2/4/1981  185-86-4345  239-335-6755     Graham   \n",
       "9  lee.eaker@gmail.com       2/4/1981  185-86-4345  239-335-6755     Graham   \n",
       "\n",
       "     County    City State    Zip Region  Discount_Percent  \n",
       "7  Bradford  Graham    FL  32042  South               0.0  \n",
       "8  Bradford  Graham    FL  32042  South               0.0  \n",
       "9  Bradford  Graham    FL  32042  South               0.0  "
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cancel_order.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "id": "05f1d6ed",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Mobiles & Tablets     30271\n",
       "Others                17312\n",
       "Appliances            13559\n",
       "Men's Fashion         11342\n",
       "Women's Fashion        8204\n",
       "Entertainment          7661\n",
       "Beauty & Grooming      5025\n",
       "Superstore             4760\n",
       "Home & Living          4095\n",
       "Computing              3561\n",
       "Soghaat                2536\n",
       "Kids & Baby            1908\n",
       "Health & Sports        1478\n",
       "School & Education      328\n",
       "Books                   126\n",
       "Name: category, dtype: int64"
      ]
     },
     "execution_count": 105,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cancel_order.category.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "f88a8998",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cancel_order.category.value_counts().index\n",
    "ax=sns.countplot(y='category', data=cancel_order,\n",
    "              order=cancel_order.category.value_counts().index)\n",
    "plt.xticks(rotation=45)\n",
    "\n",
    "value_label=cancel_order.status.value_counts().values\n",
    "ax.bar_label(container=ax.containers[0], labels=value_label);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b13e6595",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b84d7122",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "id": "ed673508",
   "metadata": {},
   "outputs": [],
   "source": [
    "## Which region, county, state, city the order getting canceled"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "a9c85662",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "South        40929\n",
       "Midwest      31004\n",
       "West         20299\n",
       "Northeast    19934\n",
       "Name: Region, dtype: int64"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cancel_order.Region.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "fc189db7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "ax=sns.countplot(x='Region', data=cancel_order,\n",
    "              order=cancel_order.Region.value_counts().index)\n",
    "\n",
    "value_label=cancel_order.Region.value_counts().values\n",
    "ax.bar_label(container=ax.containers[0], labels=value_label);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6c7c85de",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "id": "14818ff2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Jefferson            1511\n",
       "Los Angeles          1199\n",
       "Washington           1035\n",
       "Montgomery            992\n",
       "Polk                  894\n",
       "                     ... \n",
       "Ben Arnold              1\n",
       "Ridgeville              1\n",
       "Culver                  1\n",
       "Five Forks              1\n",
       "Sebastians Branch       1\n",
       "Name: County, Length: 2282, dtype: int64"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cancel_order.County.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d7542ecf",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "4d0e88eb",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "TX    7014\n",
       "CA    6378\n",
       "NY    5896\n",
       "PA    5784\n",
       "IL    4357\n",
       "FL    4279\n",
       "OH    3871\n",
       "MN    3302\n",
       "VA    3276\n",
       "MO    3273\n",
       "IA    3261\n",
       "KY    3148\n",
       "NC    3132\n",
       "IN    2881\n",
       "MI    2690\n",
       "WV    2437\n",
       "GA    2292\n",
       "OK    2287\n",
       "CO    2267\n",
       "WI    2126\n",
       "NJ    2032\n",
       "MA    1957\n",
       "AR    1919\n",
       "TN    1852\n",
       "LA    1850\n",
       "KS    1850\n",
       "AL    1849\n",
       "WA    1735\n",
       "MD    1586\n",
       "SC    1570\n",
       "NE    1494\n",
       "MS    1493\n",
       "MT    1348\n",
       "AZ    1348\n",
       "OR    1300\n",
       "ME    1239\n",
       "VT    1140\n",
       "NM    1139\n",
       "CT    1125\n",
       "AK    1065\n",
       "SD    1056\n",
       "UT    1047\n",
       "ID    1012\n",
       "ND     843\n",
       "WY     763\n",
       "DC     695\n",
       "NV     631\n",
       "NH     600\n",
       "HI     266\n",
       "DE     250\n",
       "RI     161\n",
       "Name: State, dtype: int64"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cancel_order.State.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "id": "0a5c745f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Washington        764\n",
       "Kittanning        692\n",
       "Sedgwick          591\n",
       "New York City     552\n",
       "Houston           452\n",
       "                 ... \n",
       "Manton              1\n",
       "Justice             1\n",
       "East Worcester      1\n",
       "Powersville         1\n",
       "Valera              1\n",
       "Name: City, Length: 11526, dtype: int64"
      ]
     },
     "execution_count": 109,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cancel_order.City.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "75a7bc14",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "id": "57588d2e",
   "metadata": {},
   "outputs": [],
   "source": [
    "## try to understand reason behind such huge cancelation\n",
    "## for that lets have look oon dicount_amount column of datadrame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "id": "bcc3c844",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "71.89875479013557"
      ]
     },
     "execution_count": 111,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cancel_order.discount_amount.mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "id": "6b742ce0",
   "metadata": {},
   "outputs": [],
   "source": [
    "## average dicount is just $71 may be this is the main reason"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8a8c4981",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "58f5c832",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "9295d99e",
   "metadata": {},
   "source": [
    "## Filterout the customer who cancels his/her order most of the times"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "id": "3c73dec4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Bailes, Eulah         685\n",
       "Melo, Liz             590\n",
       "Braddy, Percy         421\n",
       "Beebe, Hortencia      387\n",
       "Bhatt, Graham         222\n",
       "                     ... \n",
       "Rix, Franklin           1\n",
       "Barge, Stephen          1\n",
       "Rivas, Deshawn          1\n",
       "Chittenden, Leigha      1\n",
       "Nowak, Shaina           1\n",
       "Name: full_name, Length: 30661, dtype: int64"
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cancel_order.full_name.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "id": "a04c015c",
   "metadata": {},
   "outputs": [],
   "source": [
    "## \"Bailes Eulah\" canceled his order most of the time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "id": "60a4eae3",
   "metadata": {},
   "outputs": [],
   "source": [
    "## lets see in which category he is cancelling his order"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "1b91dcf4",
   "metadata": {},
   "outputs": [],
   "source": [
    "bailes_canc=cancel_order[cancel_order['full_name']=='Bailes, Eulah']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "id": "8b4451d3",
   "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>order_id</th>\n",
       "      <th>order_date</th>\n",
       "      <th>status</th>\n",
       "      <th>item_id</th>\n",
       "      <th>sku</th>\n",
       "      <th>qty_ordered</th>\n",
       "      <th>price</th>\n",
       "      <th>value</th>\n",
       "      <th>discount_amount</th>\n",
       "      <th>total</th>\n",
       "      <th>category</th>\n",
       "      <th>payment_method</th>\n",
       "      <th>bi_st</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>Gender</th>\n",
       "      <th>age</th>\n",
       "      <th>full_name</th>\n",
       "      <th>E Mail</th>\n",
       "      <th>Customer Since</th>\n",
       "      <th>SSN</th>\n",
       "      <th>Phone No.</th>\n",
       "      <th>Place Name</th>\n",
       "      <th>County</th>\n",
       "      <th>City</th>\n",
       "      <th>State</th>\n",
       "      <th>Zip</th>\n",
       "      <th>Region</th>\n",
       "      <th>Discount_Percent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>187578</th>\n",
       "      <td>100460154</td>\n",
       "      <td>2021-03-24</td>\n",
       "      <td>canceled</td>\n",
       "      <td>755277.0</td>\n",
       "      <td>MATQMO5A83E7751D666</td>\n",
       "      <td>2.0</td>\n",
       "      <td>845.0</td>\n",
       "      <td>845.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>845.0</td>\n",
       "      <td>Mobiles &amp; Tablets</td>\n",
       "      <td>Easypay</td>\n",
       "      <td>Gross</td>\n",
       "      <td>2021</td>\n",
       "      <td>Mar-2021</td>\n",
       "      <td>F</td>\n",
       "      <td>52.0</td>\n",
       "      <td>Bailes, Eulah</td>\n",
       "      <td>eulah.bailes@gmail.com</td>\n",
       "      <td>2/8/2017</td>\n",
       "      <td>077-02-1900</td>\n",
       "      <td>215-203-6895</td>\n",
       "      <td>Kittanning</td>\n",
       "      <td>Armstrong</td>\n",
       "      <td>Kittanning</td>\n",
       "      <td>PA</td>\n",
       "      <td>16201</td>\n",
       "      <td>Northeast</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187579</th>\n",
       "      <td>100465097</td>\n",
       "      <td>2021-03-31</td>\n",
       "      <td>canceled</td>\n",
       "      <td>763158.0</td>\n",
       "      <td>MATQMO5A83E7751D666</td>\n",
       "      <td>2.0</td>\n",
       "      <td>845.0</td>\n",
       "      <td>845.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>845.0</td>\n",
       "      <td>Mobiles &amp; Tablets</td>\n",
       "      <td>Easypay</td>\n",
       "      <td>Gross</td>\n",
       "      <td>2021</td>\n",
       "      <td>Mar-2021</td>\n",
       "      <td>F</td>\n",
       "      <td>52.0</td>\n",
       "      <td>Bailes, Eulah</td>\n",
       "      <td>eulah.bailes@gmail.com</td>\n",
       "      <td>2/8/2017</td>\n",
       "      <td>077-02-1900</td>\n",
       "      <td>215-203-6895</td>\n",
       "      <td>Kittanning</td>\n",
       "      <td>Armstrong</td>\n",
       "      <td>Kittanning</td>\n",
       "      <td>PA</td>\n",
       "      <td>16201</td>\n",
       "      <td>Northeast</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187580</th>\n",
       "      <td>100465098</td>\n",
       "      <td>2021-03-31</td>\n",
       "      <td>canceled</td>\n",
       "      <td>763159.0</td>\n",
       "      <td>MATRON5A45DB4964F49</td>\n",
       "      <td>2.0</td>\n",
       "      <td>62.5</td>\n",
       "      <td>62.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>62.5</td>\n",
       "      <td>Mobiles &amp; Tablets</td>\n",
       "      <td>Easypay</td>\n",
       "      <td>Gross</td>\n",
       "      <td>2021</td>\n",
       "      <td>Mar-2021</td>\n",
       "      <td>F</td>\n",
       "      <td>52.0</td>\n",
       "      <td>Bailes, Eulah</td>\n",
       "      <td>eulah.bailes@gmail.com</td>\n",
       "      <td>2/8/2017</td>\n",
       "      <td>077-02-1900</td>\n",
       "      <td>215-203-6895</td>\n",
       "      <td>Kittanning</td>\n",
       "      <td>Armstrong</td>\n",
       "      <td>Kittanning</td>\n",
       "      <td>PA</td>\n",
       "      <td>16201</td>\n",
       "      <td>Northeast</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         order_id  order_date    status   item_id                  sku  \\\n",
       "187578  100460154  2021-03-24  canceled  755277.0  MATQMO5A83E7751D666   \n",
       "187579  100465097  2021-03-31  canceled  763158.0  MATQMO5A83E7751D666   \n",
       "187580  100465098  2021-03-31  canceled  763159.0  MATRON5A45DB4964F49   \n",
       "\n",
       "        qty_ordered  price  value  discount_amount  total           category  \\\n",
       "187578          2.0  845.0  845.0              0.0  845.0  Mobiles & Tablets   \n",
       "187579          2.0  845.0  845.0              0.0  845.0  Mobiles & Tablets   \n",
       "187580          2.0   62.5   62.5              0.0   62.5  Mobiles & Tablets   \n",
       "\n",
       "       payment_method  bi_st  year     month Gender   age      full_name  \\\n",
       "187578        Easypay  Gross  2021  Mar-2021      F  52.0  Bailes, Eulah   \n",
       "187579        Easypay  Gross  2021  Mar-2021      F  52.0  Bailes, Eulah   \n",
       "187580        Easypay  Gross  2021  Mar-2021      F  52.0  Bailes, Eulah   \n",
       "\n",
       "                        E Mail Customer Since          SSN    Phone No.   \\\n",
       "187578  eulah.bailes@gmail.com       2/8/2017  077-02-1900  215-203-6895   \n",
       "187579  eulah.bailes@gmail.com       2/8/2017  077-02-1900  215-203-6895   \n",
       "187580  eulah.bailes@gmail.com       2/8/2017  077-02-1900  215-203-6895   \n",
       "\n",
       "        Place Name     County        City State    Zip     Region  \\\n",
       "187578  Kittanning  Armstrong  Kittanning    PA  16201  Northeast   \n",
       "187579  Kittanning  Armstrong  Kittanning    PA  16201  Northeast   \n",
       "187580  Kittanning  Armstrong  Kittanning    PA  16201  Northeast   \n",
       "\n",
       "        Discount_Percent  \n",
       "187578               0.0  \n",
       "187579               0.0  \n",
       "187580               0.0  "
      ]
     },
     "execution_count": 117,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bailes_canc.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "id": "79b96164",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Men's Fashion        396\n",
       "Mobiles & Tablets    271\n",
       "Soghaat               13\n",
       "Others                 3\n",
       "Entertainment          2\n",
       "Name: category, dtype: int64"
      ]
     },
     "execution_count": 118,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bailes_canc.category.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "b1a24af1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax=sns.countplot(y='category', data=bailes_canc,\n",
    "             order=bailes_canc.category.value_counts().index)\n",
    "\n",
    "value_label=bailes_canc.category.value_counts().values\n",
    "ax.bar_label(container=ax.containers[0], labels=value_label);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c0525c92",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5b5ad0d1",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}