Supermarket Sales EDA.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "c09a852f",
   "metadata": {},
   "source": [
    "## Project Description"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "065e069a",
   "metadata": {},
   "source": [
    "This project will mainly focused on EDA (Exploratory Data Analysis) from Supermarket Sales dataset that obtain from Kaggle. The dataset contains 2019 sales data from January through March. There are 9 charts being shown in this notebook to assist decision making process from the dataset."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6589f90c",
   "metadata": {},
   "source": [
    "Dataset Link: https://www.kaggle.com/datasets/aungpyaeap/supermarket-sales"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bb8599a3",
   "metadata": {},
   "source": [
    "## Import Necessary Library"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "a93f858c",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import folium"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "81479f6b",
   "metadata": {},
   "source": [
    "## Read Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "078b39f7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Invoice ID</th>\n",
       "      <th>Branch</th>\n",
       "      <th>City</th>\n",
       "      <th>Customer type</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Product line</th>\n",
       "      <th>Unit price</th>\n",
       "      <th>Quantity</th>\n",
       "      <th>Tax 5%</th>\n",
       "      <th>Total</th>\n",
       "      <th>Date</th>\n",
       "      <th>Time</th>\n",
       "      <th>Payment</th>\n",
       "      <th>cogs</th>\n",
       "      <th>gross margin percentage</th>\n",
       "      <th>gross income</th>\n",
       "      <th>Rating</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>750-67-8428</td>\n",
       "      <td>A</td>\n",
       "      <td>Yangon</td>\n",
       "      <td>Member</td>\n",
       "      <td>Female</td>\n",
       "      <td>Health and beauty</td>\n",
       "      <td>74.69</td>\n",
       "      <td>7</td>\n",
       "      <td>26.1415</td>\n",
       "      <td>548.9715</td>\n",
       "      <td>1/5/2019</td>\n",
       "      <td>13:08</td>\n",
       "      <td>Ewallet</td>\n",
       "      <td>522.83</td>\n",
       "      <td>4.761905</td>\n",
       "      <td>26.1415</td>\n",
       "      <td>9.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>226-31-3081</td>\n",
       "      <td>C</td>\n",
       "      <td>Naypyitaw</td>\n",
       "      <td>Normal</td>\n",
       "      <td>Female</td>\n",
       "      <td>Electronic accessories</td>\n",
       "      <td>15.28</td>\n",
       "      <td>5</td>\n",
       "      <td>3.8200</td>\n",
       "      <td>80.2200</td>\n",
       "      <td>3/8/2019</td>\n",
       "      <td>10:29</td>\n",
       "      <td>Cash</td>\n",
       "      <td>76.40</td>\n",
       "      <td>4.761905</td>\n",
       "      <td>3.8200</td>\n",
       "      <td>9.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>631-41-3108</td>\n",
       "      <td>A</td>\n",
       "      <td>Yangon</td>\n",
       "      <td>Normal</td>\n",
       "      <td>Male</td>\n",
       "      <td>Home and lifestyle</td>\n",
       "      <td>46.33</td>\n",
       "      <td>7</td>\n",
       "      <td>16.2155</td>\n",
       "      <td>340.5255</td>\n",
       "      <td>3/3/2019</td>\n",
       "      <td>13:23</td>\n",
       "      <td>Credit card</td>\n",
       "      <td>324.31</td>\n",
       "      <td>4.761905</td>\n",
       "      <td>16.2155</td>\n",
       "      <td>7.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>123-19-1176</td>\n",
       "      <td>A</td>\n",
       "      <td>Yangon</td>\n",
       "      <td>Member</td>\n",
       "      <td>Male</td>\n",
       "      <td>Health and beauty</td>\n",
       "      <td>58.22</td>\n",
       "      <td>8</td>\n",
       "      <td>23.2880</td>\n",
       "      <td>489.0480</td>\n",
       "      <td>1/27/2019</td>\n",
       "      <td>20:33</td>\n",
       "      <td>Ewallet</td>\n",
       "      <td>465.76</td>\n",
       "      <td>4.761905</td>\n",
       "      <td>23.2880</td>\n",
       "      <td>8.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>373-73-7910</td>\n",
       "      <td>A</td>\n",
       "      <td>Yangon</td>\n",
       "      <td>Normal</td>\n",
       "      <td>Male</td>\n",
       "      <td>Sports and travel</td>\n",
       "      <td>86.31</td>\n",
       "      <td>7</td>\n",
       "      <td>30.2085</td>\n",
       "      <td>634.3785</td>\n",
       "      <td>2/8/2019</td>\n",
       "      <td>10:37</td>\n",
       "      <td>Ewallet</td>\n",
       "      <td>604.17</td>\n",
       "      <td>4.761905</td>\n",
       "      <td>30.2085</td>\n",
       "      <td>5.3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Invoice ID Branch       City Customer type  Gender  \\\n",
       "0  750-67-8428      A     Yangon        Member  Female   \n",
       "1  226-31-3081      C  Naypyitaw        Normal  Female   \n",
       "2  631-41-3108      A     Yangon        Normal    Male   \n",
       "3  123-19-1176      A     Yangon        Member    Male   \n",
       "4  373-73-7910      A     Yangon        Normal    Male   \n",
       "\n",
       "             Product line  Unit price  Quantity   Tax 5%     Total       Date  \\\n",
       "0       Health and beauty       74.69         7  26.1415  548.9715   1/5/2019   \n",
       "1  Electronic accessories       15.28         5   3.8200   80.2200   3/8/2019   \n",
       "2      Home and lifestyle       46.33         7  16.2155  340.5255   3/3/2019   \n",
       "3       Health and beauty       58.22         8  23.2880  489.0480  1/27/2019   \n",
       "4       Sports and travel       86.31         7  30.2085  634.3785   2/8/2019   \n",
       "\n",
       "    Time      Payment    cogs  gross margin percentage  gross income  Rating  \n",
       "0  13:08      Ewallet  522.83                 4.761905       26.1415     9.1  \n",
       "1  10:29         Cash   76.40                 4.761905        3.8200     9.6  \n",
       "2  13:23  Credit card  324.31                 4.761905       16.2155     7.4  \n",
       "3  20:33      Ewallet  465.76                 4.761905       23.2880     8.4  \n",
       "4  10:37      Ewallet  604.17                 4.761905       30.2085     5.3  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('dataset/supermarket_sales.csv')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "021e93ce",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1000 entries, 0 to 999\n",
      "Data columns (total 17 columns):\n",
      " #   Column                   Non-Null Count  Dtype  \n",
      "---  ------                   --------------  -----  \n",
      " 0   Invoice ID               1000 non-null   object \n",
      " 1   Branch                   1000 non-null   object \n",
      " 2   City                     1000 non-null   object \n",
      " 3   Customer type            1000 non-null   object \n",
      " 4   Gender                   1000 non-null   object \n",
      " 5   Product line             1000 non-null   object \n",
      " 6   Unit price               1000 non-null   float64\n",
      " 7   Quantity                 1000 non-null   int64  \n",
      " 8   Tax 5%                   1000 non-null   float64\n",
      " 9   Total                    1000 non-null   float64\n",
      " 10  Date                     1000 non-null   object \n",
      " 11  Time                     1000 non-null   object \n",
      " 12  Payment                  1000 non-null   object \n",
      " 13  cogs                     1000 non-null   float64\n",
      " 14  gross margin percentage  1000 non-null   float64\n",
      " 15  gross income             1000 non-null   float64\n",
      " 16  Rating                   1000 non-null   float64\n",
      "dtypes: float64(7), int64(1), object(9)\n",
      "memory usage: 132.9+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "d67ab310",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1000, 17)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "fa422ccd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unit price</th>\n",
       "      <th>Quantity</th>\n",
       "      <th>Tax 5%</th>\n",
       "      <th>Total</th>\n",
       "      <th>cogs</th>\n",
       "      <th>gross margin percentage</th>\n",
       "      <th>gross income</th>\n",
       "      <th>Rating</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1000.000000</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>1000.00000</td>\n",
       "      <td>1.000000e+03</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>1000.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>55.672130</td>\n",
       "      <td>5.510000</td>\n",
       "      <td>15.379369</td>\n",
       "      <td>322.966749</td>\n",
       "      <td>307.58738</td>\n",
       "      <td>4.761905e+00</td>\n",
       "      <td>15.379369</td>\n",
       "      <td>6.97270</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>26.494628</td>\n",
       "      <td>2.923431</td>\n",
       "      <td>11.708825</td>\n",
       "      <td>245.885335</td>\n",
       "      <td>234.17651</td>\n",
       "      <td>6.131498e-14</td>\n",
       "      <td>11.708825</td>\n",
       "      <td>1.71858</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>10.080000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.508500</td>\n",
       "      <td>10.678500</td>\n",
       "      <td>10.17000</td>\n",
       "      <td>4.761905e+00</td>\n",
       "      <td>0.508500</td>\n",
       "      <td>4.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>32.875000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>5.924875</td>\n",
       "      <td>124.422375</td>\n",
       "      <td>118.49750</td>\n",
       "      <td>4.761905e+00</td>\n",
       "      <td>5.924875</td>\n",
       "      <td>5.50000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>55.230000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>12.088000</td>\n",
       "      <td>253.848000</td>\n",
       "      <td>241.76000</td>\n",
       "      <td>4.761905e+00</td>\n",
       "      <td>12.088000</td>\n",
       "      <td>7.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>77.935000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>22.445250</td>\n",
       "      <td>471.350250</td>\n",
       "      <td>448.90500</td>\n",
       "      <td>4.761905e+00</td>\n",
       "      <td>22.445250</td>\n",
       "      <td>8.50000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>99.960000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>49.650000</td>\n",
       "      <td>1042.650000</td>\n",
       "      <td>993.00000</td>\n",
       "      <td>4.761905e+00</td>\n",
       "      <td>49.650000</td>\n",
       "      <td>10.00000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Unit price     Quantity       Tax 5%        Total        cogs  \\\n",
       "count  1000.000000  1000.000000  1000.000000  1000.000000  1000.00000   \n",
       "mean     55.672130     5.510000    15.379369   322.966749   307.58738   \n",
       "std      26.494628     2.923431    11.708825   245.885335   234.17651   \n",
       "min      10.080000     1.000000     0.508500    10.678500    10.17000   \n",
       "25%      32.875000     3.000000     5.924875   124.422375   118.49750   \n",
       "50%      55.230000     5.000000    12.088000   253.848000   241.76000   \n",
       "75%      77.935000     8.000000    22.445250   471.350250   448.90500   \n",
       "max      99.960000    10.000000    49.650000  1042.650000   993.00000   \n",
       "\n",
       "       gross margin percentage  gross income      Rating  \n",
       "count             1.000000e+03   1000.000000  1000.00000  \n",
       "mean              4.761905e+00     15.379369     6.97270  \n",
       "std               6.131498e-14     11.708825     1.71858  \n",
       "min               4.761905e+00      0.508500     4.00000  \n",
       "25%               4.761905e+00      5.924875     5.50000  \n",
       "50%               4.761905e+00     12.088000     7.00000  \n",
       "75%               4.761905e+00     22.445250     8.50000  \n",
       "max               4.761905e+00     49.650000    10.00000  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e5480a68",
   "metadata": {},
   "source": [
    "## Convert Data Type"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "32e0eba2",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Date'] = pd.to_datetime(df['Date'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "42186af9",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Invoice ID</th>\n",
       "      <th>Branch</th>\n",
       "      <th>City</th>\n",
       "      <th>Customer type</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Product line</th>\n",
       "      <th>Unit price</th>\n",
       "      <th>Quantity</th>\n",
       "      <th>Tax 5%</th>\n",
       "      <th>Total</th>\n",
       "      <th>Date</th>\n",
       "      <th>Time</th>\n",
       "      <th>Payment</th>\n",
       "      <th>cogs</th>\n",
       "      <th>gross margin percentage</th>\n",
       "      <th>gross income</th>\n",
       "      <th>Rating</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>750-67-8428</td>\n",
       "      <td>A</td>\n",
       "      <td>Yangon</td>\n",
       "      <td>Member</td>\n",
       "      <td>Female</td>\n",
       "      <td>Health and beauty</td>\n",
       "      <td>74.69</td>\n",
       "      <td>7</td>\n",
       "      <td>26.1415</td>\n",
       "      <td>548.9715</td>\n",
       "      <td>2019-01-05</td>\n",
       "      <td>13:08</td>\n",
       "      <td>Ewallet</td>\n",
       "      <td>522.83</td>\n",
       "      <td>4.761905</td>\n",
       "      <td>26.1415</td>\n",
       "      <td>9.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>226-31-3081</td>\n",
       "      <td>C</td>\n",
       "      <td>Naypyitaw</td>\n",
       "      <td>Normal</td>\n",
       "      <td>Female</td>\n",
       "      <td>Electronic accessories</td>\n",
       "      <td>15.28</td>\n",
       "      <td>5</td>\n",
       "      <td>3.8200</td>\n",
       "      <td>80.2200</td>\n",
       "      <td>2019-03-08</td>\n",
       "      <td>10:29</td>\n",
       "      <td>Cash</td>\n",
       "      <td>76.40</td>\n",
       "      <td>4.761905</td>\n",
       "      <td>3.8200</td>\n",
       "      <td>9.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>631-41-3108</td>\n",
       "      <td>A</td>\n",
       "      <td>Yangon</td>\n",
       "      <td>Normal</td>\n",
       "      <td>Male</td>\n",
       "      <td>Home and lifestyle</td>\n",
       "      <td>46.33</td>\n",
       "      <td>7</td>\n",
       "      <td>16.2155</td>\n",
       "      <td>340.5255</td>\n",
       "      <td>2019-03-03</td>\n",
       "      <td>13:23</td>\n",
       "      <td>Credit card</td>\n",
       "      <td>324.31</td>\n",
       "      <td>4.761905</td>\n",
       "      <td>16.2155</td>\n",
       "      <td>7.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>123-19-1176</td>\n",
       "      <td>A</td>\n",
       "      <td>Yangon</td>\n",
       "      <td>Member</td>\n",
       "      <td>Male</td>\n",
       "      <td>Health and beauty</td>\n",
       "      <td>58.22</td>\n",
       "      <td>8</td>\n",
       "      <td>23.2880</td>\n",
       "      <td>489.0480</td>\n",
       "      <td>2019-01-27</td>\n",
       "      <td>20:33</td>\n",
       "      <td>Ewallet</td>\n",
       "      <td>465.76</td>\n",
       "      <td>4.761905</td>\n",
       "      <td>23.2880</td>\n",
       "      <td>8.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>373-73-7910</td>\n",
       "      <td>A</td>\n",
       "      <td>Yangon</td>\n",
       "      <td>Normal</td>\n",
       "      <td>Male</td>\n",
       "      <td>Sports and travel</td>\n",
       "      <td>86.31</td>\n",
       "      <td>7</td>\n",
       "      <td>30.2085</td>\n",
       "      <td>634.3785</td>\n",
       "      <td>2019-02-08</td>\n",
       "      <td>10:37</td>\n",
       "      <td>Ewallet</td>\n",
       "      <td>604.17</td>\n",
       "      <td>4.761905</td>\n",
       "      <td>30.2085</td>\n",
       "      <td>5.3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Invoice ID Branch       City Customer type  Gender  \\\n",
       "0  750-67-8428      A     Yangon        Member  Female   \n",
       "1  226-31-3081      C  Naypyitaw        Normal  Female   \n",
       "2  631-41-3108      A     Yangon        Normal    Male   \n",
       "3  123-19-1176      A     Yangon        Member    Male   \n",
       "4  373-73-7910      A     Yangon        Normal    Male   \n",
       "\n",
       "             Product line  Unit price  Quantity   Tax 5%     Total       Date  \\\n",
       "0       Health and beauty       74.69         7  26.1415  548.9715 2019-01-05   \n",
       "1  Electronic accessories       15.28         5   3.8200   80.2200 2019-03-08   \n",
       "2      Home and lifestyle       46.33         7  16.2155  340.5255 2019-03-03   \n",
       "3       Health and beauty       58.22         8  23.2880  489.0480 2019-01-27   \n",
       "4       Sports and travel       86.31         7  30.2085  634.3785 2019-02-08   \n",
       "\n",
       "    Time      Payment    cogs  gross margin percentage  gross income  Rating  \n",
       "0  13:08      Ewallet  522.83                 4.761905       26.1415     9.1  \n",
       "1  10:29         Cash   76.40                 4.761905        3.8200     9.6  \n",
       "2  13:23  Credit card  324.31                 4.761905       16.2155     7.4  \n",
       "3  20:33      Ewallet  465.76                 4.761905       23.2880     8.4  \n",
       "4  10:37      Ewallet  604.17                 4.761905       30.2085     5.3  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "72155c99",
   "metadata": {},
   "source": [
    "## Add \"Purchase Hour\" Column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "930bfa31",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Purchase Hour'] = pd.to_numeric(df['Time'].str[:2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "08416d9c",
   "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>Invoice ID</th>\n",
       "      <th>Branch</th>\n",
       "      <th>City</th>\n",
       "      <th>Customer type</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Product line</th>\n",
       "      <th>Unit price</th>\n",
       "      <th>Quantity</th>\n",
       "      <th>Tax 5%</th>\n",
       "      <th>Total</th>\n",
       "      <th>Date</th>\n",
       "      <th>Time</th>\n",
       "      <th>Payment</th>\n",
       "      <th>cogs</th>\n",
       "      <th>gross margin percentage</th>\n",
       "      <th>gross income</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Purchase Hour</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>750-67-8428</td>\n",
       "      <td>A</td>\n",
       "      <td>Yangon</td>\n",
       "      <td>Member</td>\n",
       "      <td>Female</td>\n",
       "      <td>Health and beauty</td>\n",
       "      <td>74.69</td>\n",
       "      <td>7</td>\n",
       "      <td>26.1415</td>\n",
       "      <td>548.9715</td>\n",
       "      <td>2019-01-05</td>\n",
       "      <td>13:08</td>\n",
       "      <td>Ewallet</td>\n",
       "      <td>522.83</td>\n",
       "      <td>4.761905</td>\n",
       "      <td>26.1415</td>\n",
       "      <td>9.1</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>226-31-3081</td>\n",
       "      <td>C</td>\n",
       "      <td>Naypyitaw</td>\n",
       "      <td>Normal</td>\n",
       "      <td>Female</td>\n",
       "      <td>Electronic accessories</td>\n",
       "      <td>15.28</td>\n",
       "      <td>5</td>\n",
       "      <td>3.8200</td>\n",
       "      <td>80.2200</td>\n",
       "      <td>2019-03-08</td>\n",
       "      <td>10:29</td>\n",
       "      <td>Cash</td>\n",
       "      <td>76.40</td>\n",
       "      <td>4.761905</td>\n",
       "      <td>3.8200</td>\n",
       "      <td>9.6</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>631-41-3108</td>\n",
       "      <td>A</td>\n",
       "      <td>Yangon</td>\n",
       "      <td>Normal</td>\n",
       "      <td>Male</td>\n",
       "      <td>Home and lifestyle</td>\n",
       "      <td>46.33</td>\n",
       "      <td>7</td>\n",
       "      <td>16.2155</td>\n",
       "      <td>340.5255</td>\n",
       "      <td>2019-03-03</td>\n",
       "      <td>13:23</td>\n",
       "      <td>Credit card</td>\n",
       "      <td>324.31</td>\n",
       "      <td>4.761905</td>\n",
       "      <td>16.2155</td>\n",
       "      <td>7.4</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>123-19-1176</td>\n",
       "      <td>A</td>\n",
       "      <td>Yangon</td>\n",
       "      <td>Member</td>\n",
       "      <td>Male</td>\n",
       "      <td>Health and beauty</td>\n",
       "      <td>58.22</td>\n",
       "      <td>8</td>\n",
       "      <td>23.2880</td>\n",
       "      <td>489.0480</td>\n",
       "      <td>2019-01-27</td>\n",
       "      <td>20:33</td>\n",
       "      <td>Ewallet</td>\n",
       "      <td>465.76</td>\n",
       "      <td>4.761905</td>\n",
       "      <td>23.2880</td>\n",
       "      <td>8.4</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>373-73-7910</td>\n",
       "      <td>A</td>\n",
       "      <td>Yangon</td>\n",
       "      <td>Normal</td>\n",
       "      <td>Male</td>\n",
       "      <td>Sports and travel</td>\n",
       "      <td>86.31</td>\n",
       "      <td>7</td>\n",
       "      <td>30.2085</td>\n",
       "      <td>634.3785</td>\n",
       "      <td>2019-02-08</td>\n",
       "      <td>10:37</td>\n",
       "      <td>Ewallet</td>\n",
       "      <td>604.17</td>\n",
       "      <td>4.761905</td>\n",
       "      <td>30.2085</td>\n",
       "      <td>5.3</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Invoice ID Branch       City Customer type  Gender  \\\n",
       "0  750-67-8428      A     Yangon        Member  Female   \n",
       "1  226-31-3081      C  Naypyitaw        Normal  Female   \n",
       "2  631-41-3108      A     Yangon        Normal    Male   \n",
       "3  123-19-1176      A     Yangon        Member    Male   \n",
       "4  373-73-7910      A     Yangon        Normal    Male   \n",
       "\n",
       "             Product line  Unit price  Quantity   Tax 5%     Total       Date  \\\n",
       "0       Health and beauty       74.69         7  26.1415  548.9715 2019-01-05   \n",
       "1  Electronic accessories       15.28         5   3.8200   80.2200 2019-03-08   \n",
       "2      Home and lifestyle       46.33         7  16.2155  340.5255 2019-03-03   \n",
       "3       Health and beauty       58.22         8  23.2880  489.0480 2019-01-27   \n",
       "4       Sports and travel       86.31         7  30.2085  634.3785 2019-02-08   \n",
       "\n",
       "    Time      Payment    cogs  gross margin percentage  gross income  Rating  \\\n",
       "0  13:08      Ewallet  522.83                 4.761905       26.1415     9.1   \n",
       "1  10:29         Cash   76.40                 4.761905        3.8200     9.6   \n",
       "2  13:23  Credit card  324.31                 4.761905       16.2155     7.4   \n",
       "3  20:33      Ewallet  465.76                 4.761905       23.2880     8.4   \n",
       "4  10:37      Ewallet  604.17                 4.761905       30.2085     5.3   \n",
       "\n",
       "   Purchase Hour  \n",
       "0             13  \n",
       "1             10  \n",
       "2             13  \n",
       "3             20  \n",
       "4             10  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dfacfbc4",
   "metadata": {},
   "source": [
    "## 1. Number Of Transaction That Occur From January To March 2019"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "72aee6bd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "month_map = {\n",
    "    1: 'January',\n",
    "    2: 'February',\n",
    "    3: 'March'\n",
    "}\n",
    "\n",
    "transaction_count = df.groupby(df['Date'].dt.month)['Invoice ID'].count().reset_index().rename(columns={'Date': 'Month', 'Invoice ID': 'Count'})\n",
    "transaction_count['Month'] = transaction_count['Month'].apply(lambda x: month_map[x])\n",
    "\n",
    "plt.figure(figsize=(10, 5))\n",
    "plt.plot(transaction_count['Month'], transaction_count['Count'], marker='o', color='green', linestyle='-.')\n",
    "plt.grid(color='darkgray', linestyle=':', linewidth=.5)\n",
    "plt.title('Number Of Transactions That Occur From\\nJanuary To March 2019', fontsize=16, color='blue', pad=24)\n",
    "plt.xlabel('Month', fontsize=12, labelpad=16)\n",
    "plt.ylabel('Transaction Count', fontsize=12, labelpad=16)\n",
    "plt.annotate('January has the highest transaction count', xy=(.05, 352), xytext=(.2, 351.3), color='red', arrowprops=dict(arrowstyle='->', connectionstyle='angle', color='red'))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "938cdc07",
   "metadata": {},
   "source": [
    "## 2. Product Line Sold Based On Customer Gender"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "be472a65",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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p7DOg7LNPM9cJ4lCI50pXgZEQZ0LMVrdfP4jLID6CeB/izxBblfsdWLNfL4jjIV6B+BTiZoivTKbjw8oQ15X7+wziWYgf11y/NMTd5X6CZrq31Ow7sOzT3NfHZZ8TazsklG0Bcepkjtcedds3g7gD4sMS7wsQF0AsO4W45ijH465ybMdAvFfuZ7tm9t8F4jGIzyHegfgLRP+6fYbXHwuIb0M8Um73Etlp5yJa12VldHk+/BJirrp9dyh/p9EQT0EMrn8ciMMh7ivxf1bu60RqOtmU/XYt+31CdhN5huw+s1BLn3dT+f2+W45/09/tSbLbyEx1+zX7f1Lz3Jrq45H/T7uUv+975e89ovwO69Ttux/Z4ecziP9ArFL7t4WYHuKccpw/LvE/CPHdZu7nJbIDyoQ4IfpCnEr+L44p30/lyx2FJvc7n1i292nmuXJJ3bZlIC6HeKs8/0ZADIHYrGafiyBGtPC1rVc5lreX59IYspPKbRDfh5ihbv+FIM6D+B8TX8tu5cudYib3e03yvwLxdfL1Z3S5z+MgTmLS15BeEAeT/7ejyY5Mj5H/P7NP6Tj7y1/+av2XIlwCZmZmZmZWFdeQm5mZmZlVyAm5mZmZmVmFnJCbmZmZmVXICbmZmZmZWYWckJuZmZmZVcgJuZmZmZlZhZyQm5mZmZlVyAm5mZmZmVmFnJCbmZmZmVXICbmZmZmZWYWckJuZmZmZVcgJuZmZmZlZhZyQm5mZmZlVyAm5mZmZmVmFnJCbmZmZmVXICbmZmZmZWYWckJuZmZmZVcgJuZmZmZlZhZyQm5mZmZlVyAm5mZmZmVmFnJCbmZmZmVXICbmZmZmZWYWckJuZmZmZVahP1QFMi+aZZ54YMGBA1WGYmZmZTdVDDz30dkT0qzoOa71pMiGXdAGwBfBWRCxfts0FXAEMAIYDO0TEe+W6o4G9gXHAQRFxc9m+CnARMCNwI3BwRMTUHn/AgAEMGzasfX8pMzMzsw4g6ZWqY7C2mVZLVi4CNqnbdhRwe0QsCdxeLiNpWWAwsFy5zVmSepfbnA3sCyxZvurv08zMzMysUtNkQh4RdwHv1m3eCri4/HwxsHXN9ssj4vOIeBl4AVhdUn9gtoi4t4yK/7nmNmZmZmZm04RpMiGfjPkiYiRA+T5v2b4g8FrNfiPKtgXLz/XbzczMzMymGV0pIZ8cNbMtprC9+TuR9pU0TNKwUaNGtVtwZmZmZmZT0pUS8jdLGQrl+1tl+whg4Zr9FgJeL9sXamZ7syLi3IhYNSJW7dfPE5XNzMzMrHN0pYR8CLB7+Xl34Nqa7YMlTS9pMXLy5gOlrOUjSWtIErBbzW3MzMzMzKYJ02rbw8uAgcA8kkYAJwA/B66UtDfwKrA9QEQ8JelK4GlgLHBARIwrd/V9JrY9vKl8mZmZmZlNM9RAW+4eZ9VVVw33ITczM7OuQNJDEbFq1XFY63WlkhUzMzMzs27HCbmZmZmZWYWckJuZmZmZVWianNTZrZ04e9URtM6JH1QdgZmZmVm35BFyMzMzM7MKOSE3MzMzM6uQE3IzMzMzswo5ITczMzMzq5AndZpZ+/PkZTMzs4Z5hNzMzMzMrEJOyM3MzMzMKuSE3MzMzMysQk7IzczMzMwq5ITczMzMzKxCTsjNzMzMzCrkhNzMzMzMrELuQ25mZmZdg9c4sG7KI+RmZmZmZhVyQm5mZmZmViGXrJiZmbWGyyfMrJ14hNzMzMzMrEIeIbfuz6NYZmZmNg3zCLmZmZmZWYWckJuZmZmZVcgJuZmZmZlZhZyQm5mZmZlVyAm5mZmZmVmFnJCbmZmZmVXICbmZmZmZWYWckJuZmZmZVcgJuZmZmZlZhZyQm5mZmZlVyAm5mZmZmVmFnJCbmZmZmVWoT9UBmJlZOzhx9qojaJ0TP6g6AjOzynmE3MzMzMysQk7IzczMzMwq5ITczMzMzKxCTsjNzMzMzCrkhNzMzMzMrEJOyM3MzMzMKuSE3MzMzMysQk7IzczMzMwq5ITczMzMzKxCTsjNzMzMzCrU5RJySYdKekrSk5IukzSDpLkk3Srp+fJ9zpr9j5b0gqTnJG1cZexmZmZmZvW6VEIuaUHgIGDViFge6A0MBo4Cbo+IJYHby2UkLVuuXw7YBDhLUu8qYjczMzMza06XSsiLPsCMkvoAMwGvA1sBF5frLwa2Lj9vBVweEZ9HxMvAC8DqnRuumZmZmdnkdamEPCL+B/waeBUYCXwQEbcA80XEyLLPSGDecpMFgddq7mJE2TYJSftKGiZp2KhRozrqVzAzMzMz+5IulZCX2vCtgMWABYCZJe0ypZs0sy2a2zEizo2IVSNi1X79+rU9WDMzMzOzBnSphBz4NvByRIyKiDHA1cBawJuS+gOU72+V/UcAC9fcfiGyxMXMzMzMbJrQ1RLyV4E1JM0kScAGwDPAEGD3ss/uwLXl5yHAYEnTS1oMWBJ4oJNjNjMzMzObrD5VB9ASEXG/pKuAh4GxwCPAucAswJWS9iaT9u3L/k9JuhJ4uux/QESMqyR4MzMzM7NmdKmEHCAiTgBOqNv8OTla3tz+pwGndXRcZmZmZmat0dVKVszMzMzMuhUn5GZmZmZmFXJCbmZmZmZWISfkZmZmZmYVckJuZmZmZlYhJ+RmZmZmZhVyQm5mZmZmViEn5GZmZmZmFXJCbmZmZmZWISfkZmZmZmYVckJuZmZmZlYhJ+RmZmZmZhVyQm5mZmZmViEn5GZmZmZmFXJCbmZmZmZWISfkZmZmZmYVckJuZmZmZlYhJ+RmZmZmZhVqKCGXtP1ktm/XvuGYmZmZmfUsjY6Qnz+Z7ee2VyBmZmZmZj1RnyldKWnx8mMvSYsBqrl6cWB0RwVmZmZmZtYTTDEhB14AgkzEX6y77g3gxA6IyczMzMysx5hiQh4RvQAk3RkR63VOSGZmZmZmPUdDNeROxs3MzMzMOsbUSlYAKPXjpwErAbPUXhcRi7R/WGZmZmZmPUNDCTnwV7KG/HDg044Lx8zMzMysZ2k0IV8OWDsixndkMGZmZmZmPU2jfcjvAlbuyEDMzMzMzHqiRkfIhwM3S7qabHc4QUQc395BmZmZmZn1FI0m5DMD1wF9gYU7LhwzMzMzs56loYQ8Ivbs6EDMzMzMzHqiRtseLj656yLipfYLx8zMzMysZ2m0ZOUFIADVbIvyvXe7RmRmZmZm1oM0WrLypW4skuYHTgDu7oigzMzMzMx6ikbbHn5JRLwBHAL8rF2jMTMzMzPrYVqVkBdLATO1VyBmZmZmZj1Ro5M672ZizThkIr4ccHJHBGVmZmZm1lM0OqnzvLrLnwCPRcTz7RyPmZmZmVmP0uikzos7OhAzMzMzs56ooRpySX0lnSTpJUmjy/eTJE3X0QGamZmZmXVnjZas/BJYHdgfeAVYFDgOmA04tGNCMzMzMzPr/hpNyLcHvhYR75TLz0l6GHgMJ+RmZmZmZq3WaNtDtXC7mZmZmZk1oNGE/G/AdZI2lrSMpE2AfwBXdlhkZmZmZmY9QKMJ+ZHAbcCZwEPAH4A7gB93UFyTJWkOSVdJelbSM5LWlDSXpFslPV++z1mz/9GSXpD0nKSNOzteMzMzM7MpaSghj4gvIuL4iFgiImaKiCUj4riI+LyjA2zG74F/RsTSwNeAZ4CjgNsjYkng9nIZScsCg8lFjDYBzpLUu4KYzczMzMyaNcWEXNLakn4xmet+LmmNjglrsvHMBqwLnA8TPii8D2wFNPVKvxjYuvy8FXB5RHweES8DL5DdYszMzMzMpglTGyE/BrhrMtfdCfykfcOZqsWBUcCFkh6RdJ6kmYH5ImIkQPk+b9l/QeC1mtuPKNvMzMzMzKYJU0vIVwL+OZnrbgVWaddopq4P8HXg7IhYGfiEUp4yGc11gYlmd5T2lTRM0rBRo0a1PVIzMzMzswZMLSGfDZjcapx9gVnbN5ypGgGMiIj7y+WryAT9TUn9Acr3t2r2X7jm9gsBrzd3xxFxbkSsGhGr9uvXr0OCNzMzMzOrN7WE/Flgo8lct1G5vtNExBvAa5KWKps2AJ4GhgC7l227A9eWn4cAgyVNL2kxYEnggU4M2czMzMxsiqa2UudvgXNKZ5J/RMR4Sb3ISZNnAod1cHzNORC4VNJ0wEvAnuQHiysl7Q28Sq4sSkQ8JelKMmkfCxwQEeMqiNnMzMzMrFlTTMgj4q+S5ic7l0wv6W1gHmA0cEJEXNYJMdbH9CiwajNXbTCZ/U8DTuvImMzMzMzMWmtqI+RExOmSzgPWBOYG3gHujYgPOzo4MzMzM7PubqoJOUBJvm/u4FjMzMzMzHqchlbqNDMzMzOzjuGE3MzMzMysQk7IzczMzMwq1FANeRNJ8wKz1G6LiJfaNSIzMzMzsx6koYRc0ibA+cD8fHk5+gB6d0BcZmZmZmY9QqMlK2cCpwCzRESvmi8n42ZmZmZmbdBoycqcwDkRER0ZjJmZmZlZT9PoCPn55BL1ZmZmZmbWjhodIV8DOEjSUcAbtVdExLrtHpWZmZmZWQ/RaEJ+XvkyMzMzM7N21FBCHhEXd3QgZmZmZmY9UcN9yCXtCewKLAj8D/hLRFzYUYGZtZcBo/9adQitMrzqAMzMzKxTNNqH/CfAbsBvgFeARYEjJS0QEad1YHxmZmZmZt1aoyPk+wADI+KVpg2SbgbuApyQm5mZmZm1UqNtD2cGRtVteweYsX3DMTMzMzPrWRpNyP8JXCppKUkzSloauBi4ueNCMzMzMzPr/hotWfkh8EfgMaAvMAa4Ejiog+Iysy7ME2nNzMwa12jbww+B3STtAcwDvB0R4zsyMDMzMzOznmCyCbmkARExvPy8eN3Vs0gCICJe6rDozMzMzMy6uSmNkD8BzFp+fgEIQHX7BNC7A+IyMzMzM+sRJpuQR8SsNT83OvnTzMysR/Bcic7nY27dVUOJtqQzJrP9d+0ajZmZmZlZD9Nol5U9aL6jyq7AIe0VTE/gT/dmZmbWHT300EML9erV65bx48cvzaRlzj1Z9OrV69nx48dvtMoqq4xobocpJuSS9mrar+bnJosDb7dDkGZmZmbWxfXq1euW+eeff8n55ptPvXq52rnJ+PHjNXLkyKVefvnlhwcNGjQYuGPIkCFRu8/URsh3Ld+nq/kZcjLnm8Du7RatmZmZmXVZ48ePX9rJ+KR69epF//79e40cObIfWXUC8K/afaaYkEfEtwAknRoRx3ZIlGZmZmbWHTgZn4xevXpRWoa/A6xGXULe6FG7S9JXazdIWkrShu0SpZmZmZlZG/Xu3ZuVVlppwtfw4cM77LEGDBjA22+3uHp7PDB9/cZGJ3WeCaxbt+2jsv2rk+5uZmZmZj3ZgKNuaNf7G/7zzae6z4wzzsijjz7aro/bGRodIZ83IkbWbRsJzN/O8ZiZmZmZtZuHHnqI9dZbj1VWWYWNN96YkSMzpR04cCCHHnoo6667LsssswwPPvgg2267LUsuuSTHHjuxUnvrrbdmlVVWYbnlluPcc89t9jEuueQSVl99dVZaaSX2228/xo0b16IYG03IX5K0ft22gcDLLXo0MzMzM7MO8tlnn00oV9lmm20YM2YMBx54IFdddRUPPfQQe+21Fz/5yU8m7D/ddNNx1113sf/++7PVVltx5pln8uSTT3LRRRfxzjvvAHDBBRfw0EMPMWzYMM4444wJ25s888wzXHHFFdxzzz08+uij9O7dm0svvbRFcTdasnIicLWk84EXga8Ae5YvMzMzM7PK1ZesPPnkkzz55JNsuGFOexw3bhz9+/efcP2gQYMAWGGFFVhuueUmXLf44ovz2muvMffcc3PGGWdwzTXXAPDaa6/x/PPPM/fcc0+4j9tvv52HHnqI1VZbDcgPBfPOO2+L4m4oIY+IayVtBOwFbA68BmwcEQ+26NHMzMzMzDpJRLDccstx7733Nnv99NPn/MpevXpN+Lnp8tixYxk6dCi33XYb9957LzPNNBMDBw5k9OjRkzzG7rvvzs9+9rNWx9lwb5qIeCAi9o+Izct3J+NmZmZmNs1aaqmlGDVq1ISEfMyYMTz11FMN3/6DDz5gzjnnZKaZZuLZZ5/lvvvum2SfDTbYgKuuuoq33noLgHfffZdXXnmlRXE2WrKCpJWAdYB5qFkONSKOb9EjmpmZmZl1gummm46rrrqKgw46iA8++ICxY8dyyCGHsNxyyzV0+0022YQ//elPrLjiiiy11FKsscYak+yz7LLLcuqpp7LRRhsxfvx4+vbty5lnnsmiiy7acJwNJeSS9gV+C9wCbArcBGwEXNvwI5mZmZlZj9FIm8L29vHHH0+ybaWVVuKuu+6aZPvQoUMn/Dxw4EAGDhzY7HU33XRTs49V2+N8xx13ZMcdd2xxvE0aLVk5EtgkIrYBPivftwPGtPqRzczMzMysRX3I7y4/j5fUKyJuArbsoLjMzMzMzHqERmvIR0gaEBHDgf8CW0l6G/iiwyIzMzMzM+sBGk3IfwksAwwHTgauAqYDDuqYsMzMzMzMeoZG+5BfVPPzTZLmBKaLiEkr583MzMzMrGEN1ZBL6idplvJzb2BnYBtJDfcxNzMzMzOzSTWaUF8PLFl+Pg34EXA48JuOCMrMzMzMrKUkseuuu064PHbsWPr168cWW2wxxdsNHTp0qvt0pEZryL8KPFp+3gVYC/gYeAo4tP3DmrIySj8M+F9EbCFpLuAKYABZ575DRLxX9j0a2BsYBxwUETd3drxmZmZmPc6Js7fz/X0w1V1mnnlmnnzyST777DNmnHFGbr31VhZccMH2jaMDNDpCPg6YTtIKwAcR8SrwPjBLRwU2FQcDz9RcPgq4PSKWBG4vl5G0LDAYWA7YBDirJPNmZmZm1g1tuumm3HDDDQBcdtll7LTTThOue+CBB1hrrbVYeeWVWWuttXjuuecmuf0nn3zCXnvtxWqrrcbKK6/Mtdd2/DqYjSbkNwFXAmcDl5dtywL/64igpkTSQsDmwHk1m7cCLi4/XwxsXbP98oj4PCJeBl4AVu+kUM3MzMyskw0ePJjLL7+c0aNH8/jjj/ONb3xjwnVLL700d911F4888ggnn3wyxxxzzCS3P+2001h//fV58MEHueOOOzjiiCP45JNPOjTmRktW9gF2J1fm/EvZNg9wYgfENDW/I1cOnbVm23wRMRIgIkZKmrdsXxC4r2a/EWWbmZmZmXVDK664IsOHD+eyyy5js802+9J1H3zwAbvvvjvPP/88khgzZtJF52+55RaGDBnCr3/9awBGjx7Nq6++yjLLLNNhMTfa9vBz4Ny6bUM7IqApkbQF8FZEPCRpYCM3aWZbTOa+9wX2BVhkkUVaG6KZmZmZVWzQoEH86Ec/YujQobzzzjsTth933HF861vf4pprrmH48OEMHDhwkttGBH//+99ZaqmlOi3eRtseziXpp5JulHRX7VdHB1hnbWCQpOFk6cz6ki4B3pTUv8TaH3ir7D8CWLjm9gsBrzd3xxFxbkSsGhGr9uvXr6PiNzMzM7MOttdee3H88cezwgorfGn7Bx98MGGS50UXXdTsbTfeeGP+8Ic/EJFjuI888kiHxgqN15D/FVgTuA44v+6r00TE0RGxUEQMICdr/isidgGGkCU1lO9N1fdDgMGSppe0GNm68YHOjNnMzMzMOtdCCy3EwQcfPMn2I488kqOPPpq1116bcePGNXvb4447jjFjxrDiiiuy/PLLc9xxx3V0uA3XkK8F9CulK9OinwNXStobeBXYHiAinpJ0JfA0MBY4ICKaP/pmZmZm1n4aaFPY3j7+eNJF5AcOHDihNGXNNdfkv//974TrTjnllEn2mXHGGTnnnHM6PNZajSbkj5PlHi92YCwtUmrYh5af3wE2mMx+p5GLGZmZmZmZTXMaTcj/BfxT0oXAG7VXRMQF7R6VmZmZmVkP0WhCvg45QXLDuu0BOCE3MzMzM2ulRtsefqujAzEzMzOzLi3Gjx+vXr0a7RnSc4wfP35C15bmtPiIKfVq+mpTdGZmZmbWLfTq1evZN954Y9z48eOrDmWaMn78eEaOHDl+9OjRbzdtqt+noRFySQsCfwTWBeaou7p3W4I0MzMzs65v/PjxG40cOfJfr7/++pJSc2sz9kwRwejRo9/9y1/+8hdgTuDJ+n0arSH/E/Ap2cnkTjIxPxG4sX1CNTMzM7OubJVVVhkBfHXQoEEDgd1oZiS4h5udbM99Vf0VLelDvkhEfCIpIuKx0vP7P8D/tV+cZmZmZtaVDRkyZOigQYMeAmapOpZpzFjgvSFDhoytv6LRhHxcuROA9yX1Az4EFmyf+MzMzMysuxgyZMhHwEdVx9FVNDop835gs/LzzcAVwNXAsI4IyszMzMysp2h0hHxXJibvhwCHA7MCv2v/kMzMzMzMeo6pJuSSegO/B/YFiIjPgFM7OC4zM2uBAaP/WnUIrTK86gDMzKYBUy1ZiYhxwEZ4pqyZmZmZWbtrtIb8t8BJkvp2ZDBmZmZmZj3NFBNySTuVHw8EjgA+kvSapFebvjo8QjMzMzOzbmxqNeTnAJcBu3RCLGZmZmZmPc7UEnIBRMSdnRCLmZmZmVmPM7WEvLekb1ES8+ZExL/aNyQzMzMzs55jagn59MD5TD4hD2Dxdo3IzMzMzKwHmVpC/klEOOE2MzMzM+sgjbY9NDMzMzOzDjC1hHyyteNmZmZmZtZ2U0zII2LWzgrEzMzMzKwncsmKmZmZmVmFnJCbmZmZmVXICbmZmZmZWYWckJuZmZmZVcgJuZmZmZlZhZyQm5mZmZlVyAm5mZmZmVmFnJCbmZmZmVXICbmZmZmZWYWckJuZmZmZVcgJuZmZmZlZhZyQm5mZmZlVyAm5mZmZmVmFnJCbmZmZmVXICbmZmZmZWYWckJuZmZmZVcgJuZmZmZlZhZyQm5mZmZlVyAm5mZmZmVmFnJCbmZmZmVXICbmZmZmZWYWckJuZmZmZVcgJuZmZmZlZhbpUQi5pYUl3SHpG0lOSDi7b55J0q6Tny/c5a25ztKQXJD0naePqojczMzMzm1SXSsiBscDhEbEMsAZwgKRlgaOA2yNiSeD2cply3WBgOWAT4CxJvSuJ3MzMzMysGV0qIY+IkRHxcPn5I+AZYEFgK+DistvFwNbl562AyyPi84h4GXgBWL1TgzYzMzMzm4IulZDXkjQAWBm4H5gvIkZCJu3AvGW3BYHXam42omxr7v72lTRM0rBRo0Z1WNxmZmZmZrW6ZEIuaRbg78AhEfHhlHZtZls0t2NEnBsRq0bEqv369WuPMM3MzMzMpqrLJeSS+pLJ+KURcXXZ/Kak/uX6/sBbZfsIYOGamy8EvN5ZsZqZmZmZTU2XSsglCTgfeCYiTq+5agiwe/l5d+Damu2DJU0vaTFgSeCBzorXzMzMzGxq+lQdQAutDewKPCHp0bLtGODnwJWS9gZeBbYHiIinJF0JPE12aDkgIsZ1etRmZmZmZpPRpRLyiPg3zdeFA2wwmducBpzWYUGZmZmZmbVBlypZMTMzMzPrbpyQm5mZmZlVyAm5mZmZmVmFnJCbmZmZmVXICbmZmZmZWYWckJuZmZmZVcgJuZmZmZlZhZyQm5mZmZlVyAm5mZmZmVmFnJCbmZmZmVXICbmZmZmZWYWckJuZmZmZVcgJuZmZmZlZhZyQm5mZmZlVyAm5mZmZmVmFnJCbmZmZmVXICbmZmZmZWYWckJuZmZmZVcgJuZmZmZlZhZyQm5mZmZlVyAm5mZmZmVmFnJCbmZmZmVXICbmZmZmZWYWckJuZmZmZVcgJuZmZmZlZhZyQm5mZmZlVyAm5mZmZmVmFnJCbmZmZmVXICbmZmZmZWYWckJuZmZmZVcgJuZmZmZlZhZyQm5mZmZlVyAm5mZmZmVmFnJCbmZmZmVXICbmZmZmZWYWckJuZmZmZVcgJuZmZmZlZhZyQm5mZmZlVyAm5mZmZmVmFnJCbmZmZmVXICbmZmZmZWYWckJuZmZmZVcgJuZmZmZlZhZyQm5mZmZlVqEck5JI2kfScpBckHVV1PGZmZmZmTbp9Qi6pN3AmsCmwLLCTpGWrjcrMzMzMLHX7hBxYHXghIl6KiC+Ay4GtKo7JzMzMzAzoGQn5gsBrNZdHlG1mZmZmZpVTRFQdQ4eStD2wcUTsUy7vCqweEQfW7bcvsG+5uBTwXKcG2j7mAd6uOogexse88/mYdz4f887nY975uvIxXzQi+lUdhLVen6oD6AQjgIVrLi8EvF6/U0ScC5zbWUF1BEnDImLVquPoSXzMO5+PeefzMe98Puadz8fcqtQTSlYeBJaUtJik6YDBwJCKYzIzMzMzA3rACHlEjJX0Q+BmoDdwQUQ8VXFYZmZmZmZAD0jIASLiRuDGquPoBF265KaL8jHvfD7mnc/HvPP5mHc+H3OrTLef1GlmZmZmNi3rCTXkZmZmZmbTLCfkZmZmZmYVckJu7UqSpnTZ2s7H1Mys65G0kKS/Vx2HTZuckFu7kaQokxIkrSNpzvAkhXZVd4yXlzR71TH1FE0fhCQNkDRP1fF0d+X5vWD52R9CO1DNc3t1STtIWkFS36rj6m4iYgSwqKSbqo7Fpj1OyK3d1CSKhwHHAnM1XSfJz7V2UHOMDwXOAmapNqKeoemDkKRBwEXAfBWH1BMcBZwEE5/31v4k9S7P7U2BP5ML6d0GbOUPQu1HUh+AsvDQ9JJuqzgkm8Y4SbJ2JWlDYHtgUES8KGkJSQtGxHgn5e1D0g7kAlebR8T/JC0iaZGq4+rOSsKyBpkgfj8inpI0m6SFqo6tGzsMmEXS8lUH0h1JmhsgIsZJmhfYHdgU+A/wJnCXPwi1j/KBfqykWQEiYn1gjKTbKw7NpiE9og+5dZyakcOmUoo5gPeADSStB6wJrCBp5YgYXmGoXVZtmUrxGfBPYCdJ/YGtgSck/TYiHqkixh5iLuAhYOEymrgpMFbSSRFxX7WhdQ+SVgdmBt6MiKclvQ8sCzxZaWDdTClH+bOkpyLiyIh4S9JjwI+AVYGtyrbtgMci4vlKA+7iynvkxsDWkl4BboiITSXdJummiNi06hiteh6xtFarSxSXLKfkrgeeBw4A7o6IdYGLga9UFGaXVlcz3r+MsLxK/u9+B7gX2Iv8EOSaz3ZUU1c7Tzm78wLwOvAbYBRwMnAPMFNlQXZxkmaUtGb5eXHge8C2wB8k7Qw8DBwpaYEKw+x2ImIMcDSwqqRTy+bxwHrAQRHxsqRVgFOBfhWF2W1IWhf4LXABsCP5/khEfBuYTdLQ6qKzaYVHyK3VahLFA8g30WFAr4g4uGmfUl6xCfliZC1Ql4wfAawBzABcAvwOeL+cbt4aWKdss3ZSUzO+NzCCfH7/HvhlRHws6evAdwGfdm692YFNJf0IWADYMiLeLmUqPwLeBZYAVgReL/XO46oLt1t5DdgfuFDS4eQHzWWB/SQdSB7zIyPiPxXG2F2sDhwOBDAWOA0m1O+vLekbVQZn0wav1GktVpcobkpOvhpELjv8BbAbMD2wLpnAbBcRT1UUbpcnaSvggIjYqNQcvkqOis8IbEROoN0zIp6oMMxupyTc55GlKX8EpgN2It9Uv0aOdv04Iq6rLMgurpx5+B75gf2qiNit5rqZyUGjU4EVI2K9aqLsfsrch4PJUfKlgfOBSyLiD5JWJSd2Do+IR5opmbMGSVoK+BxYAfgxeTZti4h4vZQDLR4Rv6wyRpt2uGTFWqRMbNuwZlMvMmnZDpgT2Lu8eK9AllN8y8l4y0haU9J+NZtmBS4p3WvGAPuVYzw7OWq7pZPx9lMz+XgAcCGwPJmgHBIRnwLzkpPeto+I69yJok0WIDt7fI+sxz+l5rrpIuKDiDgQ+LCUtFj72YCcfP8k+QF/B0knR8SwiLimaT6Kk/HWkTQLsB+wEvAo8D7Zoemj8mH/BDw3wmo4IbeWmg54UtKCJXF5Dfg5sH9EbBQRX0jan/IGGxFvVBlsF/UmcENNd4k3yBf2Dcnk+4tyiv9X5OS3kRXF2V01dU55gewY9Fsy+X5Z0jZkp5W3mj5oOmFpOUm9JE1PTpI9PiIuBf4ELCHp2FK/fIyk2SWtRo7iflphyF1azXyIfsr1IUYAxwODJM1Xnss/ADaS9FV/yGy7iPgYeA74CVl69SdgUXJC/m+AYyPiRh9ra+KSFWtIXZnKEsAVZKLyD2Afsr75arLLyn7AHh61bZm6YzwjcBdwXUScLOkCMlF/iBwZPwj4rs8+tI+abkFLk6NZh0bE2ZLOAEYDdwIfAmcCP3GZSttI6lPawC0E3A1cGhHHSlqZLKNYBTiwJCwLAuP9wbPlJE0fEZ+Xn1ci5/qsTI7OjiPnR/w2Il4u+8wcEZ9UFG63UN4fF4uIW8vlXwPPRcT/lTKsWQAi4k2XA1ktJ+Q2VXWJ4vfIT/u9gX3JxWkeJUtUdiGTxj+V06DWCmWS7AzkSMq5wJXAOcD3yZHC3uSbqJPxdiRpc2Az8g1zK3IS1mXAnmSt/sfA5U1lKn4jbZ1y5mcZ4I4ygXN+8jXk3Ig4vuyzWFOSaK1TzmDuTX6QfJqsYf4F8E3ybNsj5HP8enIAZWxFoXYb5azP0eTzuzdZpz8IWCQijq4yNpv2ucuKTVVNMr4V8FXgDxHxqqTPyRecsyPib8C1FYbZLSgXVlqfrBN/u3wAOp/sXvPbss+EUS9rH8pFUk4hJ2neWmo8bwPGRcSZks4CZo2ID52Mt07NcVuLTAjHSborIt6QtBNwuyQi4viaEVsf61aKXIztKrJV56fA6hHxIrlmwW3kpPDly/dFgJcqC7YLqzm7Nj/wcUScWLafAxwBzA3sLOnFiDivwlBtGucacpsqSb3LqbYLgYElGVdEXAucTtZ6fqfaKLs+SQPIswyLRsTbABHxNDnhah9Jx5Rdv6gmwu6npn7zE+AJoKku/GGye81ZkvaO9GG5zgliC9Qc4/kAIuJc4G/ANsB6ZSR3FFkO9O/a2/pYt07NMf8QuJzsMb5Rua5XRDwfEY+Tc30+B7asJNBuoCTjg4AhwN8k/bZs3488w3kt+WHnv9VFaV2BS1asWXVlKn0jYoxycY4HgQsj4tiafTcBnomIVyoKt0uqH/0rb6LrAIeSx/lXkQt4TGifFV7ttF3UjGrNHRHvlG3nkLWfTYnLemTSuC6wq0uEWk/SZmR71H8D/yNL3bYlS4P6kH2ad4mI+zwq3jY1z+2NyTk915LzTp4AfhcRP5W0Ann25+kyQXxpcmK+y1ZaSNJA4AxgY3Kxtt+R5Vc/qNlnjoh4389tmxKXrFizapLxXYG1Jb1ETuD8GvCQpHERcULZ95+VBdqF1dXlL0ieOv452UZyI+BQSb+LiC8i4rnqIu1+SsKyKXCEpLvJSVf7Sfq7stf73WTP8R3LTbwYTStJ+iZZu7wdudjPhmQnm+PIlTiXIcve7gOPirdVeW5vQq4BsW9EjAZGK1dEfUDSwsBA8qybyDPlv3cy3nKS+gOvkGcxVwYGk20Or5H0Z7L08DPyTIWf2zZFLlmxyZK0J3AkcAfQv/y8NDma9WNJnqTSRpJ2I9uN3UW+kJ9Kntq8lqzv/MFkb2ytJmkd4NfAIWS/8YMl/SgivkOO3o4AtiZ7wA/ELfdaTNnasA9Zn7wz2fLt68BPyUngPwXei4gbI+Lu6iLtPpRmIp/XR0TEnZI2lvRj8gP/suTCYvtFxD0lQfxVuCNWi5WR8WuBz4DHyQ+cfywNDS4gJ88uAFnPX02U1pV4hNwmaOZ02pLAjyLiZklDyQ4U20fEwZK+SnYCsRaoOZ3cm1zxcR3yDfFfwL8knQecGBE7l9pav1G2k5pjvwA5OXl7cqR2ebKn++6S+gK/LiVaK5F1zbtExKtVxd3V1LyO9C2Tj/9ajuuRwM4R8aykHcjFlvqTC6ZYOyjH/VNJ/wJ2VS4w9gY5+NY/Ig6R9Isy4VNlboRHbRtU8xqyBNmh5sAoa21Iehb4Znmur0auUP1iheFaF+OE3IBJasbnLy8yo4GDJN0X2TP1DmAXSQs6QWm5ug88c0XEKEkvAItKmq1MGtwXuF7SDBFxW3XRdi81b6TfIj9Y/h54j+zHvGNEvCBpMHnaeTHyLMVIYMOIeLOquLuamuO8CfA9SU8Dr0b2YF4U2FDSdEA/4KCIeKbSgLu4psmb5ZivASxBtpD8F/kcfi0iHlJ2bzpa0mzAR023qSbqrkfSDOQh+1zSYuRAytJkR6z7y24PAH2B/YGfR04MN2uYS1YM+FI98+HALyTNRdYyPwmcUF7IlwdEJurWQjXH+EDg4poR8LXIRGUxskxiLvKF3dpJSVhWBdYDro9cqbA3Wa6ykqRlgenJVSP/W27zppPxlinHeX2yHOU3wLzkRDfI+vFdgD+SNeNPVxNl9yCpd9MId/kAdBEwJ5mMLxER/yjJ+LfIRdx+ExEfOhFvmfI6vTpwpKTtgMOA+8jn+JLlgzwRMTQiTgM2jrJWQWVBW5fkEXKbQNI+ZEK4bUS8K2l2cnGajcnFIwT8MEpXCmu5cgp5Z7IMYjxwY3nd3hrYleyKsG9EfFRVjN1NKQ8aT06Y/QrZnozInuI/BU4iP2T+KiKerSzQ7mM+crXeWcl5ETuU7Y+TI4szueNE25QuKUdI2pf8ILk72bpwLrJE5Y6yX3+ylvnIKMu0+5i3TCnveZxc8OdQ8rX7GUnvl10GSpouIv5c9v+4fPdxthZx28MerP7FWdLxwFvAY+Qb53qUEXKybdanThRbppljfBo5EWgs2U5vf+B4chGa3gARMaqCULudmvKJ2Ury3Qe4gly8Y/ea/eYmXwvfdsLScmWkdlzN5d3Jycn/AzaPiHckbQSsDfwiIjxBtg0kzUg+j68Brib7iO9PdqtZGdghIoZL2p4sX3k1vJBYqyh7to8vH+rPBWYj3yOPK4NWc5AfOL8OnBwRr1cXrXV1Llnpoepqxtcvm58jk/Bfkgt1XAbMDMxQTt87GW+BumO8rnJxpVHAn8hR2Q/IdnD7ANNFxCgn4+2nJOMbA5eWD5s7kW+eA5Q9x5v2eycmLsTkZLxBpYyNiBgnaR1J+yi711wH/B14oyTjG5C9me9zMt4uRLbaW478cL8YebZ7DeCQkox/nfxQNJ+T8ZYriXbT6Hif8oHze8AB5MJsp5dd+5CLip3iZNzayiPkPZykA4ADydHad8kRgNER8amkrcjR8U1dS9t6kg4DNgX2iYhXJC1Hjlp9pGyddRJZJuRSoHZUksOzgL2BHwJzRMSgMqnwbnIxqz0qDLHLUrbWuwk4m+wl/jfgIfIsTx8yAd+VTBp7kZ1rbqgk2G5C0iLA/BHxQClVOZ1cgOawMufnt+SZt5nJ0fLjImJIdRF3TWUC5/XAvyLip2Vbnyh92pUdxn5IlmPNA+wZEfdP5u7MGuaEvAcrI1e/AjaJiLckrUh2lhgDbEKWUmwfXqGw1SR9GzgFWC8ivijtsr6IiFeVK+R9F9gjchlra0dlAtbH5JmIM8g2ZK9ImrNs/7rfSFtP0pbAT8gRwuMi4j+SBgB7AETEiWWkMSLiA5cDtU053iOBZ8iJ4PORH3qujYizJM0KLEUmiSMj4jEf89aRtDJwDnBBRPypbJtQmlWO9VZkF5s7q4vUuhNP6uxBmnlxHkOOcm0vaSGyG8KzZCL+Oln/+XLnR9p11dQtNx3r2cmEcCNJ6wLfILt6LEO+sQ5u6uph7UPS6mSP9zeBy4G3gYER8V6pZV6fTCCdjLdB6STxMVnLvDHwH3JBpfvI8iAi4v2a/Z0YtoKk+ckFff5JTuC8Bjg9Ii6R9ApwiqQxwMURMaz2tj7mLVPzuj2ebGf4Y0lExJ9KaVbviBhXyjcvqbuNWZu4hryHqKtnXrS8yN8HzEJOSLmZbGv4Ltky6y4n4y1T98L8VeUCETcCT5OTru6MiPWAC4GlIuIGJ+Ptq7QaW50cvRpGJi+PAX1KCcvpwL8jYkx1UXZt5XkNQETcQbYy/K6k3cpp/Y+BZSXN59Zv7WJb8vVjg9LB4xrgMEkbRq5w+hOyvnmPMvnQWqkMpmwAXEl2qjkX2EfSIeX6cco2iF+6TacHat2SR8h7iJpk/BBgC3J0/FngsJrTcFuRS1qfXFGYXVrNMT6AfBMdRq5WeFjTPpJ2JMuBfldFjN1deUN9njzGIicof4+sCX0XOCYirveoVsuUD/BXA98u80sm1NSW4zmWnDy7HTlx+UTPO2kfpRylL7BjedqeLWk0cFS5fFuZpzI2arrdWKsNIGvzry7J953AOZK+iIizItvVmrU7j5D3ICXh3gzYiFyQZiXy1D6StiaXAt4jIl6qKMQuT7lAxw7ANsCiwLxKM5Z68hOA70TE8ArD7HYkLS/phwARcTMwnJzk9lpEHAdsSNaQD3Ey3nKRK/e+CNyjXEV2rLKNZNP1/yRrxxcBzomIGzw63nZNxzgifk++Zg+WtHFEXAj8GTi1XP53RNxXZaxdVTPP0z5MLLkaT7aOfAo4uJxd9vPaOoQndXZj9YlH6egxI5mIf4usER9TWmQ9QS7n7lGtFmjmGG9KTrbqQybmW5TJnKuTpSsz+xi3P0mbA8eQiXhT3fgGwKUuvWobSX3L60Q/4HbgM7Im/7PakfKy75wR8V5lwXYDpWPKnBHxYrlcO5nwMPIs5mURcYukvYCnPB+ibSStByxNlhU+K+lccqR8O7JjzT5kD/0XqovSujsn5N1UXc34pmRLstXIZaufjIgty3V7kyUsu0TEJ1XF2xXVHeNvkMngPGQ9/siIWK1ctz+wKnBgRHxWUbjdSs3k2TWAGYAPI+JhSd8j30i3JudHnBURv6gu0u6hdPg4hKyt3QWYG1iluaTcWk/S9MCvyYngf26aY1KXlB8MrElO4rypsmC7uJrXkG+Q83qeJjsG3UV+qP8NecZnQeD4iLi2smCtR3ANeTdVkygeTH7K36OcRl6NPO25GTlSPhjYycl4y9Uc48PIEpXdgOfJN9Q1JX2XTAq/Rx5/J+PtpLyRDgKOI2ubN5d0ekT8H4CkJ8mWkk9XGGZ3shU5KnseWU97AXCXpHX9vG4/EfG5pN+Qz+utJV0eEa/Wdfj4fakp/1/F4XZpNcn4icCOEfFEec3+BjA+IvYvJUNzRsQol7pZR3NC3o1J+hqZlGweE1ciPFHSB+SqbnORyyw/W2GYXVrp3LE9uXjS+2Xb5WS97S7kMsu7R8STlQXZDSlXidwL+DaZLPYG/tM0WhsRl0kaEhGf+I20XbxLLjjT5CSyzeF9klYCd5toq5rn6fzla3NyDso5EfF8Scqbnt+/rjbabmNuck7VzWTZ5t/IlocbSJqFXFjMq/hap3BC3o00k3hMD3zalIxLmi4ivgD+UCZl9fKM8ZZp5hiPA56LiPclzRgRn0XEG5L+GRHXVRVnd9PMce8FfAgcTCblu5bjvqGkkRHxZNNZH7+Rto5ycZTR5JoElwG3S3oxIq4H5iU7Bf3bx7d9lBHbFYHzyC5NC5K1yztI+nNEvObSoLapKVOZgTzkN0oaDJwk6fWIuFLSVeQH/EfCXWusEzkh7ybq6pk3I0snngP+J2kH4G9lcuGewAqSjiSTSWtQ3THeDvg38DnQX9JCETGiXLczMJeks/0G2j5qjnt/4N3yAWgYcBR5lueFMjHr98COFYbapdUkLOuRSfg95AefnwFbAucpOzJtBOwVEfdWFmz3NBfweqkd/6+k94BLgfkkneWzma1X89zeiuyiMrOkkyPib5I+B04sg1aXkMfcrFM5Ie8mahKWHwDfBwaRo1t3ksssby3p3nLdtk4UW67mGB8I7EmusvmQpAeBv0i6juxisxuwtY9x25UEfLuI+IOybeSpwHuS7gJeBn4FnC5pCFmedWREPFFdxF1bTTK+Adki9Q1ytPZkskxlTfI0/xkR8XhlgXYTNUli06TNx4BRyhVl/x0Rj0q6gpyQ71r9NijHeVPgWPI5fTpwjaS9I9uh9iHbSN4OvOmzx9bZ3GWlG5G0HHm6c4eIeK1smwlYghzdGgtcFxGe6NZKkr5K9v/dOrI3c9P23cjT+AuQfZifqyjEbkXSWuSkq4eBpciksD/Zomxx4MyyHWBURPzHNeOtU5McXkuOgC9WyoAGAJuSvdzPiojbqoyzu1G27NwAGB0Rx0j6PrAsOf/kMbK7zdHh1oZtplwY7x7ydfpQciXlHwF7R8R1kuaNiLcqDNF6MCfkXVh94iFpQeCn5GS33uRM8bGS5gv3vm4XZaLsmRHxzXJ5ulIKNH1khwTX5bcjSdORXQ++DywaEWuX7SsARwIXRsS/Kgyxy6tJxPtGxJiy7Z/ATBGxbrm8OJmU/zsiHqsw3G5FuQbExcAvgL2BjyJiUBkh34Rsu3dhRNxQYZjdhqTewBxkW8ODI+JpSbcB/cje+u6hb5XxSp1dVF098wxl88fkohHfi4gvSjK+G3BMSWysBaSJK7JJmhGgJCOvSzq8XP5C2fv6fNWsXGhto1yymjIJ+QHgT8Acko4t258A3gdWqSrG7qAmGd8YOFbZwpOI2AT4pJy+J3L13vOdjLef8qFyX+CCiLgkIr5F1jUPiYhbIuIwJrar9eqQrdB03Jq+l7Kg98g1I9ZUdsl6BdjXybhVzSPkXZxy0Zn1yFP615OTDO8oP39RrtvD9Z4tU/eB54fAV8kPPL8iR2y3AJYEbiFrxr8bEU9VFG63IWlRYI6IeKz2bENJ0L8JHEa2ITufLFc5NCLurCzgbkDSJmTv/P3JhX9uBI6JiLck3Qn0iYi1XQrUvpQrJx8BjAJOiYkrc/6HPLv5zZracmuBmg+ak5SgKHu470V+mN8A+GF4gSWbBjgh78JKMv5d8kX9l2TC+FPgv+Tp5dmAmyPi+cqC7OLKJNnBwM7kh56rgbPJRTl2Bz6iLLdcWZDdiHLl2BOArSLikbqkvC/ZP/9iclTruIj4d3XRdm1l1HAWcpXCk4H5gJ8DI8gP8/tHxDuSVouIB6uLtHuoSRKXAN6IiI/LvJ+jgXuBGyPi5bLv6hHxQJXxdlU1x3lTcs7JNmTnmqi5rumM8YJNx9ysak7IuyhJ85B1tWeQI7TbAFeRi0mcGRE3VhhetyBpdnIm/rHk4j+bk6Ozc5D1hy9UF133U/NmeRR5vPeIXD2vNinvDawDvOXJye2jPM/nIScrr0eWMo4iz0IcHRGfVxhetyJpC+B4smXqWHIgZQHgcOBx4JpSHmRtUDoF/R+wZ0TcI2nm8GrUNo1zDXkXFbnYzx/JySibR8T6wDXkG+t3JM3musO2iYgPgB+QI4fbRMTG5Kj4GsBurstvPzXJ+EbkKoWfAxdLWiUixtfUlI8D7nIy3n7K8xxgDHnsBwC3Apc5GW8/klYDTiFb7n0BbEyWCr1F9s9fDa8N0SqS+ja9RpT5PosBp5HrcOwN3CPpVEnTVxmn2ZQ4Ie8C6hPrmuTkPWAmctGI3uQL+tPAURHxoes9264kJJ8CfSQtS7Z+uwk4r0w4tHZQcyr/HLIDwp7AReRk2RXrknJ3sWmFyb2OFG8CdwEXkPNPznWZSrubjfxA3/Q6cggwA3mW8y1yMv4rlUXXRZWBkbWAVZWL4u1Glm8eSY6SzwQcB6xNHnuzaZK7Qkzj6iYXLhYRL9cmJBHxuKQnyDfTOYEdI2JUReF2Sc21KqybTPUGOdHtDLLX+A4R8Wonh9lt1TzHxwL3R8R9ZftLwNeBKyUNjohHKwyzy2pqZ1g+9CwJzBART5QPOX0iYmypZ/49eZatd0QMqzjsbicibi8DJ7sCB0TEfSWB7AfMFWWlX2uVOcgEfCVg54gYKukpcoGfdyUtDMxKnnkzmyY5IZ+G1SXjBwLLSzohyoI0TYlkROwm6SvA+xHxTpUxdzXlGDfVJ69D/k/cGRHjapKVDyWdAfwVGBsR/6sy5u6i5vk9I3kW4k1g6fIcPykixpSOE33JyYfWQpLmBwZJ+huwKlkX/mSpqV0vsjVqU8L+DuDXj3ZS9/qtSOMkLQQcXl5TvklOnnUXrFYox/ULSZ8Dy5CL/kynXB/imbLPduQ8oJNc6mbTMk/q7AIkbQv8BNgyIl6vu85tsVqp7g3zB0ycWLUY8PUygti3JIZu+dYBygjh4cDtwLXAh+Qo7X3A3eQqerv7jbR1JK0BHEUey5WA30XEQ5KuB2aPiHXKfn0iYmx1kXYfNfMhvvTa3HS5dAu6HBhP1ulfXVmw3YCktcn3x5+Tq/euDPwnIq6QNCvwbeCdiLjLr+M2LXNCPg0qI7XTRcTt5fJPyL60P6tJEL0iZDtRLs/+feCQyDZvlwLLMTEp94eeDiBpZeBE4DpgafLsxDXAU2TN5zhgaEQMqSrGrqokfeNLAvhtsnZ5AbJrygNln2uBRSJi5QpD7VZqkvENmdgq9dWI+Ee5fsIHH0kzRcSnThJbT9Ly5AqnD0XEJaVj0O7koIrIPuODwq0NrQvwpM5pk4D/llObkH2B55c0S5SlrcnT0OtXE17X1jS5TVIvSf3IxWaWIBf/ISJ2Bp4AXi4ffJyMtzPlAkB/I8uDzgP+QK6ety2wQkQcHBGHRcQQdwtqmZKMrwOsLmlzsnPKueTEwTVKeRsRsRXwlqQ1Kwu2mynJ+LfJ7imXAQOBrcvEQ0qJUNPk5E+bblNRuF1WzWvCGkyc0Dl3ZMegC8jF8T4jF7hyMm5dghPyaVBE3EW2ILtX0tbkhMIlgV0kDZQ0mFzI48Xqouya6kajepcJsIcAzwLflLQUQETsSrZ+G1BFnD3Aq2SZyiGSFizdJa4CXifbds7XtKMTlsZJmqN8aJ8BOBX4EzAiIu4uP68KbFYmdxIRG0fEvZUF3D0tSXb6+ARYmFzA6gtJC4C7BLVFTSK+oKQZyof548nJ9uuU5//HETEkIo6OiOv8gd66CpesTCMm0+mjaTLKQeTKkN8HFgGmB46NiCc6PdAurK5mfH/ydOZn5HLh9wG/AZ4kV8x7qrJAu6GaU/lLANM3HV9JPyMXo9khIkaUbgi9I2J4heF2Scr+y2eT8yD+D7iFHBU/kyz9+aKUZx1KLkzzf02jtNZ69SUnZT7KIcB75LyftyRtAnyFPOZul9oG5Vj+lCxtW4BcFG8g8B3gBuCfEfFhZQGatZK7rEwD6jp9bAnMDAyLiKskBXAWWd/8I2XbrJki4qMKQ+6SapLx7wJ7kaUq85L9rvcHfkwe69GS/ltTHmRtVJLxzcmVCYeVkpXtIuJoSScDN0raPCJeqzbSLm0c2Qlon/Lzt4GtgUHA3GQJxf3kB9D/OhlvH+W5vTqZcF9HzoNYm5xI+JakbwK/BQ51Mt425QP9L4EfAg+Sc03uB1YB5gK2BO4kJ4ebdSkeIZ+GKFcUO4b8lL8z8K3IPuPbkDW2B0bENVXG2BVJWg5YJSL+XC7/gHzun1kurwqcB6xPnoF4q76bjbVNSVj+D9gCWB24lGxRtnNEvFFGyq+LiP9UGGaXp1yJcE3gYHKk8BxJ+5GTlMeTZ4W2Ci/P3m4kDSTPQowkW3deVK4aDCwF9AZ+GhHXVRBetyKpP3ks96w563Yu8HhE/FHSIuE1IqyL8gj5NELSumRP2g0iYrikF4E7JH0rIq6RNIZchdNaoNQPzkWOwC4JvEQuDjGYfBMlIoZJepRsA/doRaF2dy+TdbVLkwt4zEuO5t4iaZOIOLrK4LqymsRk+siVZYeWstlDSinc2ZI2JpPxY5yMt13tMScnhO8ZEQ9IOpH80PmPiNhb0lyUuSruptJyNcd5xoj4DPgIWFnSnhFxYdntGco6BU7GrStzQl6RmheaXsB0wE7AisBqkl6LiN+XN9VHlUuHX19lvF1VeQO8W7lAyrHAIxHxO0nbSLqBrKddizz2Pp3cDlRau2li32WVybOjJJ0KXB252NKlZP/gecjJnNZCNa8jmwP7SBpO1otfW14/DlS21/sNcHPtbaqLuusrx3xL4GhyAu0Q4AHgJPJ1Zs/y/L+t9jaVBNuF1Ty3DyvP7X+RJVgPSFqE7EC2O3BEdVGatQ93WalA3RvinBExmpy4eSPwDbIejoj4PXAA2XHFWqB80Kn1DnAFsIykfSNiC3K0/HBgF2DX8AqcbSZpbuAGSYuXZLx3XSLyLLCCpCPJOv7dw6sUtlpJWDYmO6r8lPxwf6akPSJiKDknYj1Ji9feppJguxFJSwN7AieQC9J8R9JekU4hzwi9UWWM3UE5q7kHWbJ5Kfkc3wL4OjmguAxwVETcWlWMZu3FI+QVqJlc+ANgO0lvA09FxHGSfgFsr1wA6J6IOLvSYLsgZb/2j8vPu5NJyoiIuLGU/uwoiYg4sOwzkye4tZv3yMlWF0vaqXROqV1Y6X5yRPHbwO8j4qGqAu0OlP2tv0LOOVkc+Br5IfOnksZGLpbySES8W2Wc3UmZkHwaWZN/e+TiYe8CPy9lQ2dHxAnVRtk1KVtDTk+2RV2cPKtzbUxcWGk1ssf4/RFxXM3tfNbHujyPkHeiUs/c9POWwL7kyPgJwDaSfk2eAp0d2EjSDJUE2kUpLUaezvxKGTn8CbAg8H1JR5SRlMuAgZIOKjf9rKKQu5XypjierA3/EPiLpIWaRsoBIuL5yN7BO0XE9bX/E9aY2mMWEV9ExFnkGaBDyG5MV5DtO38laQEn421Xd8xfISfez0T2dJ+5lKYcCxwgaaFmztDZVJSzDreSvfJnjIjnyeO8sSb2cH8LuI18j5zAybh1Bx4h7yS1n+DL6eP3gWsi4smybQ3yk/8yZFLep5SyWIPK8X1Z0t+Ba8kX7q0j4mlJqwAnlT/DryWNI8sn/GLeTkr5xBbAUeTx/yZwlaQdI+IV1Swb3nTMfexbpq5mfC0yMTkeeBt4DeitnCD+KvDjcLegNqs55gPJuSafABcDo4EdgJA0NCL+KenBiHinumi7JkkDyIXBTo+Iv2niaqYHSvotcLWkXwKjyBryKysL1qyD+FN8J6lJxncHfgUsBuwgqWl2+GhyVGvOiHgnIt6sLNguqIyOC6CcyjyLfLNcpuzyKHkmYpCkgyJiaES4xrP9bUGWovyK7GTzT+AiSQs3JePWeiUx3BA4kTwTsS55vMeRLfcOJNvu3RoRz1YVZ3dSc8x/T3bz+Da5kNhVZEnFbsD6yo42TsZb51tk+c/5JRlfUdIPJG0ZEYeSI+Vnkp2CtouIe3x2zbobj5B3ImUv5m2A/SN7L69KLpJyMNk6a1Vy0oq1QN3Zh12A9yLiLEmzkqPiz0bEU5IeI0uE/KbZAcobZF9geeBvZNeaIcC2wJWSvgV87lHxlpE0H/CVmNijfV3gB8AAsg3c8QARcZSkmYG5I+JV19W2XjPHfBDwuyit9iSdBfwtIrYq+74SdSstW4u8RHYJ2hjYEZiRfB15RNIWEbGfpDnJD0O/qjBOsw7jEfIOJGm2pjpwScuQL+qLk6vnEREHAReQLzLrALtExMvVRNt11STjB5AT2v5btv+CXIzmMklfi4ixEfFoeDXIdtE0QiXpa5K+DixMjtxuJ2n/Mmrblyxf2T8iRjtBbBlJfcgP8T8sJROQpRKHkzXje0TEy5K+K+lw4NMovZh9rFun7pivVzZ/Sq5n0OQo4IMyKn56uFNQWz1Ifoj/BTAbeYZzXTL5ngkgIg4DhpNlcPXdm8y6PI+QdxDlghFrAEuXUau+5GqQHwFfkbRpRNwUEb8s+0+or7WWU7bH2g3YHHhD0rbAQsCF5Kz9P0laL7x0dbupqWU+FXgC6E+eWt4KuEnSN8hTzN+LiMeqi7TriuznPpTs6PFdSW8AV5PJ+HER8XyZf3IscJCTlLarO+Y7l2N+GXC7pBci4lqylnxZYH5JI33c2yayy9XvJP25dhKypBWBxUrJ22sRsYuk+WNi1yazbkN+Hek4klYgE8L5yOWqH1a2zNqFHAW4JyKGVBljV9Xc6fgy+WdlcoR8LuAD4LWIOFHSPBHxdgWhdlulJOh64CcR8W9JS5BnfH4LDCWf970j4qnqouyaJM0eER9o4uJKS5J99J8mF5+ZCziH/CC0BHBaePGwNpnKMT8OmB84H7gHWJOcNHtDdRF3X5L6AhsCPyNXl71BX26fatbtOCFvZ3X1zNORE1FEnmq7ICJelzQvOcI1GvhNRHxSUbhdUt0xXpFM+h6R9BVydPYfEfGSpP2BFSPiB66nbX/lzM+VwAERMbxs2wn4WkQcVWVsXVk5u/Y0cHZkR6Be5ATCD8nVIL9OJipvkLW2s5ayFT/HW6kFx/wdYA5gpsjuTT7m7awk46uTHzx/HxHXVRySWadwyUo7q0kUDwfmJCdfrQh8l+yAcHTZfj85Qu5kvAVqS3skHQJsD7wr6WNg74g4vVy3N7APucqb62nbQVPyoewJ/E5EfCLpfuCKUg40Gghg8fJhdIyPe8tFxOeSdgaGSPoUWBt4OSIOl7QgubDSicD5katxvl1u52PdSg0e85OA/4uIO2tu52PeziJijKQHyDlVb/hDj/UUTsg7gKR9ge3IBHEM8FAZTdyy1CbOD3zbJRQto1xMaXXgOEk7ksd4HXLxnyOASyXtAcxNrli4Z5Q+79Z2JRnfhGwf+bxysZ+jy9WPSDqf/BB0iGv12yYi7pO0GblQyrMRsXPZ/j9JQ8izbn79aEcNHnN3aOoE5X3zjfKzk3HrEVyy0gEk/Ypc9Oc/Ksuyl44U85Ezxx+NiP9WG2XXouwD/CuybvPmUov/BdmxZjOyg83D5MIROwEfR8TnFYXbbUjqTx7Lj0qN+PXA98ie11uTJUIbA5uSo+OjakcQrW0kfY2sx/9RRJxfs33GiPAKsx3Ax9zMquC2h23U1PqtziLkoihNs8chk5YPIuJKJ+MtI2l94Bpgh5KMLwasFREjyUmcfymjKJeTC3f0djLedsqlrO8EViqbxgMPRMTdwAuRHYIeJScs/y0irnIy3r4iu9NsCPxM0kE1250YdhAfczOrghPyNqibXLiNpM2Ui/38GFhI0o/KdTsDvwP6VRZs1/Y2OXltQJlsdSkTewI/C2wk6WfkUu07RMRb1YTZfUhaFjgb+GVJwCFPIa8h6YCYuAjKO2QJlnWQiBgGbAmcJmmR8j9gHcjH3Mw6m0tW2oGkw8gX7+vISYY/Bd4iE5oXyMWAdnf7t9aTtBpwCzAO+GFEXF62r0x2QNgQOMXHuO1Kl4NngGciYkvlQilXkYuhzEwu2X4lMIyc6HZImVxoHUjSbBHxYdVx9CQ+5mbWWZyQt4Kk2YCPajpOnBER20k6mTy9v1W5rjcTSyjencJdWgNKX/e7gO9HxOXKVfLGl+t6hZeubjflA9ANZML9TWBk5Ep5TaUsRwDvA3eE+193ipouN+460Ul8zM2sszghb6EymfBs4KSIuL/0FD8bGEnWju8QEaNLP+b7I+KlCsPtdmpGyo+OiD9VHU93VsqvbiVHytcq22Yo7Q1r93OyYmZm1gaui2sBSYtGxCvAg8CPJa1a6pWfAzYBDizJ+F5kHfmnU7g7a4WIeBD4NnCWpD2rjqc7K3W0A4FlSl93yvO7V91+TsbNzMzawCPkDZK0Kbmwzx4R8ZakY8nlk08AxgLbki3g/km24RvseuaOU2rHP42I56qOpbsrI+U3AqdGxBlVx2NmZtbdOCFvQOmB/UvgyIi4taleWdJPgFXISZyPkxMLR5MrvLlUxboNSd8AbgOWA0a4Xt/MzKz9OCGfitIDewiwSkQ8J2lx4FjguLKC2/HkRM5fRcS9FYZq1qHcccLMzKxjuIZ86pp6YC9a0wP7qYj4H0BEnAw8CRwqaYbqwjTrcB/BZBfDMjMzs1byCHkDajp7jAd+EBFX1Fy3TEQ8I2nOiHivsiDNzMzMrEvyCHkDSmePdcnj1btpu6TdgTMk9XMybmZmZmat0afqALqKiHhC0kbALZLGAaOAH5JdV0ZVG52ZmZmZdVUuWWmh0gLuATIhHxgRz1QckpmZmZl1YU7IW0HSssA498A2MzMzs7ZyQm5mZmZmViFP6jQzMzMzq5ATcjMzMzOzCjkhNzMzMzOrkBNyMzMzM7MKOSE3MzMzM6uQE3IzMzMzswo5ITczMzMzq5ATcjMzMzOzCjkhNzMzMzOrkBNyMzMzM7MKOSE3MzMzM6uQE3IzMzMzswo5ITczMzMzq5ATcjMzMzOzCjkhNzMzMzOrkBNyMzMzM7MKOSE3M2sFSUMl7VNxDB9LWrzKGMzMrO2ckJtZtyVpuKTPSuL6pqQLJc1SdVxNJA2UNGIq+1wk6dTmrouIWSLipY6JzszMOosTcjPr7raMiFmArwOrAcfW7yCpT6dHZWZmVjghN7MeISL+B9wELA8gKSQdIOl54Pmy7XuSXpD0rqQhkhZour2kDSU9K+kDSX8EVHPdiZIuqbk8oNx/n3J5rjI6/7qk9yT9Q9LMJZ4Fygj+x7WP14jyGEuUny+SdKakGyR9JOl+SV+p2XdpSbeW3+05STu0/CiamVlHcEJuZj2CpIWBzYBHajZvDXwDWFbS+sDPgB2A/sArwOXltvMAfydH1+cBXgTWbsHD/wWYCVgOmBf4bUR8AmwKvF5KT2aJiNdb/QumnYCTgDmBF4DTSvwzA7cCfy2PvxNwlqTl2vh4ZmbWDnya1sy6u39IGgt8ANwA/LTmup9FxLsAknYGLoiIh8vlo4H3JA0A1gWejoirynW/Aw5v5MEl9ScT77kj4r2y+c62/lKTcXVEPFAe91Lg9LJ9C2B4RFxYLj8s6e/AdsBTHRSLmZk1yAm5mXV3W0fEbZO57rWanxcAHm66EBEfS3oHWLBc91rNdSGp9rZTsjDwbk0y3pHeqPn5U6BpAuuiwDckvV9zfR9y5N7MzCrmhNzMerKo+fl1MnEFJpR5zA38DxhJJtZN16n2MvAJWZLSZP6an18D5pI0R0S8P4XH70ivAXdGxIad9HhmZtYCriE3M0t/BfaUtJKk6cnSlvsjYjhZ6rKcpG3LRM2D+HLS/SiwrqRFJM0OHN10RUSMJCdvniVpTkl9Ja1brn4TmLvcZkp6S5qh5mu6Fv5u1wNflbRrefy+klaTtEwL78fMzDqAE3IzMyAibgeOIydvjgS+Agwu170NbA/8HHgHWBK4p+a2twJXAI8DD5EJcK1dgTHAs8BbwCHlds8ClwEvSXp/Cl1WjgI+q/n6Vwt/t4+Ajcrv8zpZ2vILYPqW3I+ZmXUMRXTWGVMzMzMzM6vnEXIzMzMzswo5ITczMzMzq5ATcjMzMzOzCjkhNzMzMzOrkBNyMzMzM7MKOSE3MzMzM6uQE3IzMzMzswo5ITczMzMzq5ATcjMzMzOzCv0/NR0FA/C05EIAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "product_line = df.groupby(['Product line', 'Gender'])['Quantity'].sum().sort_values(ascending=False).unstack().plot(kind='bar', stacked=True)\n",
    "\n",
    "plt.title('Product Line Sold Based On Customer Gender', color='blue', fontsize=16, pad=24)\n",
    "plt.legend(bbox_to_anchor=(1.2, .5), shadow=True)\n",
    "plt.xlabel('Product Line', fontsize=12, labelpad=16)\n",
    "plt.ylabel('Transaction Count', fontsize=12, labelpad=16)\n",
    "plt.xticks(rotation=45)\n",
    "plt.gcf().set_size_inches(10, 5)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bf687c1e",
   "metadata": {},
   "source": [
    "## 3. Hour That Customer Most Often Do Transaction"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "0c72a97c",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "transaction_time = df.groupby('Purchase Hour')['Invoice ID'].count().reset_index().rename(columns={'Invoice ID': 'Count'})\n",
    "\n",
    "plt.figure(figsize=(10, 5))\n",
    "plt.plot(transaction_time['Purchase Hour'], transaction_time['Count'], color='green', marker='o')\n",
    "plt.grid(color='darkgray', linestyle=':', linewidth=.5)\n",
    "plt.title('Hour That Customer Most Often Do Transaction', color='blue', fontsize=16, pad=24)\n",
    "plt.xlabel('Purchase Hour', fontsize=12, labelpad=16)\n",
    "plt.ylabel('Transaction Count', fontsize=12, labelpad=16)\n",
    "plt.xticks(range(10, 21))\n",
    "plt.annotate('Highest transaction is on around 19:00', xy=(18.8, 112.8), xytext=(14, 112.2), color='red', arrowprops=dict(arrowstyle='->', connectionstyle='arc3', color='red'))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c980dbf8",
   "metadata": {},
   "source": [
    "## 4. Transaction Count By Customer Type"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "8482d6e9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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FVGf8XQLMA+Zm/K39P1lZsbzNNkokJIy11ncNUqCisUQHoC+wC9APiFIX3l3bqIzFuKD/GvgAmApMA2YlKyvSbVSDSFFRsAsA0ViiDNgRF+I1lz64lnchWgrMwIV8TdjPTFZWVHutSqQAKNhLVDSWWBc4MLjsimuZr+O1qNZbDrwPvAY8C7yuoJdSpGAvIdFYohswDBgOHAB08ltR3i0GXgCeAZ5PVlZ877cckbahYA+5aCyxPfDL4LIbpTsSqhp4AxfyzyQrK2Z7rkckbxTsIRSNJQYAx+Ja5j09l1OoPgEeA+5MVlZ84rsYkVxSsIdENJboAhwHnAn091xOsZkA/Bt4LFlZUeW7GJHWUrAXuWgssRNwDq6Fvp7ncord98DdwOhkZcVnvosRWVsK9iIUjSUiuIOgFwBDvBYTTmngeeCGZGXFON/FiLSUgr2IBEMUTwPOA7b1XE6p+Ai4DrgnWVmxyncxIs2hYC8C0ViiHS7Q/4j71qe0vY+AK5OVFY/7LkSkKQr2AheNJX4FXAts57sWAeBt4LJkZcV434WINEbBXqCiscRewF+B3X3XIg16ERfw03wXIpJNwV5gorFEb6ASOMx3LdIkCzyC66LRWHgpGAr2AhGNJbYA/gScTOl+O7RYVePGwV+WrKxI+S5GRMFeAKKxxGnA9cD6vmuRVvkaODNZWfGc70KktCnYPYrGEpvjWnqH+q5Fcupu4IJkZcVi34VIadJHfk+iscSJwEwU6mF0MjAzGktU+C5ESpNa7G0sOHXurbizLUr43QOcr9a7tCUFexuKxhK/AW7C/SaolI5vgN8mKyue9V2IlAYFexuIxhIbAbcAR/muRby6CzhbZ5CUfFOw51k0ltgReBrYynctUhAmA79KVlZ87bsQCS8dPM2jaCwxDHgThbrU2RWYHI0lBvouRMJLwZ4n0VjiUuBJoIvnUqTwbAZMiMYSJ/suRMJJXTE5Fo0lOuLGpp/ouxYpCv8ALtYpgSWXFOw5FAxlfBIY5LkUKS4vAsckKyu+912IhIOCPUeisUQ/4ClgS9+1SFH6BBierKyY5bsQKX7qY8+BaCxxODARhbqsvZ7A29FYYk/fhUjxU7C3UjSWOA54FFjXdy1S9NYHXojGEvv5LkSKm4K9FaKxxEnAWKCd71okNDoDiWgscYjvQqR4KdjXUjSWOB33TULtQ8m1dYAngy4+kRZTKK2FaCxxJnAb2n+SPx2Ah6OxxHDfhUjx0aiYFgpOt3s3YHzXIiVhBfDLZGXFC74LkeKhYG+BaCxxJPAg6lOXtlUFVCQrK17xXYgUBwV7MwU/mvAE0N53LVKSfgIOSlZWTPRdiBQ+BXszRGOJQcB43EEtEV8WAbslKys+912IFDYFexOiscQWwBSgu+9aRHA/p7h7srLiB9+FSOHSqI41iMYS6+C6XxTqUih6A/dGYwm9dqVRZb4LKHC34c6fLRkmXrovPy6vJp22VKctw0e/QXmn9ow+rh89NlyXr77/iXPun8aSZdWr3fdvR/Zlv+02ZdGPKzjoH6/VTo8dvB379NqED+cu4aKH3wPgV/22YIN123PXG8m22rRiMRz4M3C570KkMOldvxHRWOL36NS7jTr2trc49MaJDB/9BgBnDdmGNz9dxL4jX+XNTxdx9j7bNni/R6d+xcl3vlNvWpeOZfT/+YYccsPrtDOGXt260LEswpEDejB20hd535YidVk0ljjWdxFSmBTsDYjGEgcCf/NdRzE5cIduPDrtKwAenfYVB/bu1uB878z5jtSylfWmpa2lQzv3tYB12rejOp3mt/tszZg3k1SndQxoDe6IxhK7+C5CCo+CPUs0ltgGeAiNVW+UtTD2tIE8c+6eHLubO6HlJut1ZMEPywFY8MNyNl6vY7OXt3TFKp7/YB7Pnbcn//3+J5ZUVdO3xwaM+3B+XuoPkU64Uw9s5rsQKSzqY88QjSW64H54ekPftRSyI255k29/WM5GnTtw7+kD+WzB0lYv89bXPufW19wovsoj+jBq3Gx+s+uW7NVzY2bN+4HRr3za6nWE1BbAE9FYYkiysqLKdzFSGNRir28MsIPvIgrdt0HLfNHSFfxn5jx26rEBC35cziZdXCt9ky4dWfjj8rVadu/N1wfg8wVL+XX/LTj3/un06taF6EY6K/IaDAT+4rsIKRwK9kBwDphf+66j0HVq347OHdrV/r9Xz02YPf8HXvpwPkf27wHAkf17rHU3yu8P/AXXvzib9u0M7Yzrd09bS6cO6hlrwnnRWGIv30VIYdAXlIBoLNEd+BB1wTRpy66duO1Ed7yuXcTw1LvfcNP4T9lg3fbcdFx/Nt+gE98sXsbZ900jtWwlm3bpyF+P6MupYyYDcOMxOzNo643YsHMHFv64nFHjPuHhKf8FYOgO3dh+s/W54eVPALj80O3Z+xcbM2vuD1zw0LtetrfIfAb0TVZW/OS7EPFLwQ5EY4kngMN91yGSA/9MVlac57sI8avkgz0aSxwDPOC7DpEcscC+ycqKCb4LEX9KOtijscSmuHNvbOy7FpEcmgP0SVZWtH64khSlUj94ehMKdQmfrdAX7EpaybbYgx/NeMR3HSJ5YoH9k5UV430XIm2vJIM9GktsjOuC2dR3LSJ5lMR1yfzouxBpW6XaFfN3FOoSflHgf30XIW2v5Frs0ViiL/Au+jFqKQ1LgW2SlRU68U4JKcUW+zUo1KV0dAb+4LsIaVsl1WKPxhKDgTd81yHSxlYC2ycrKz7zXYi0jVJrsVf6LkDEg/a4X1ySElEyLfZoLHEI8JzvOkQ8scAuycqKab4LkfwriRZ7NJYwwLW+6xDxyKBT+5aMkgh24GhgZ99FiHg2NBpL7Oe7CMm/0Ad7NJYoA/7kuw6RAqHjTCUg9MEOnAr09F2ESIHYNRpLDPddhORXqIM9GktEgEt91yFSYC70XYDkV6iDHTgE2MZ3ESIFZkg0ltjJdxGSP2EP9v/xXYBIgdKvLIVYaMexR2OJXsBH6PQBIg2pAn6WrKxY4LsQyb0wt9jPRaEu0ph1gNN9FyH5EcoWezSW6ATMBcp91yJSwD4Htk1WVoQvBEpcWFvsR6FQF2nK1sD+vouQ3AtrsJ/muwCRInGG7wIk90LXFRONJXoCs33XIVIkVgBbJCsrFvouRHInjC32Eb4LECkiHYBjfBchuRXGYD/KdwEiRUanGAiZUHXFRGOJ7XBj10Wk+VYAmyQrK5b4LkRyI2wt9sN8FyBShDoAB/suQnJHwS4ioO6YUAlNV0w0ltgAWACUeS5FpBh9B2yarKxY5bsQab0wtdgPRqEusra6Anv6LkJyI0zBrm4YkdZRd0xIhCLYo7FEO3TwR6S1hvkuQHIjFMEO7A5s5LsIkSLXMxgyLEUuLMGubhiR3DjEdwHSemEJ9n19FyASErv5LkBar+iDPRpLlAF9fdchEhIDfBcgrVf0wQ5sh/s1GBFpvW2jscT6vouQ1glDsPfzXYBIiBigv+8ipHXCEOx6EorklrpjilwYgl0tdpHcUrAXuaIO9mgsYYCdfdchEjIK9iJX1MGO+zFe/Wi1SG711AHU4lbswa7+dZHcM6iLs6gV+9kQ9eQTyY8BwIS2XOHUqVN7RCKRF9Pp9Ha4NxdpmI1EIrPS6fTQAQMGfNXQDMUe7Dv5LkAkpLZt6xVGIpEXu3fv3rNbt24mEin2zoT8SafTZt68eT3nzZv30vDhw7d/+umnV/tRjWLfez18FyASUpu39QrT6fR23bp1K1Oor1kkEqF79+5l6XS6F3Dl8OHDu6w2j4e6cqm77wJEQmozD+tUS72ZIpEIxhiAKHDSare3dUG5EpyDfWPfdYiElI9gl5ZbAGyVPbGY+9g3oYjfmEQKXPdoLGGSlRXefhQ5GkvkdHnJyoom5zHGcMIJJzB27FgAqqur2WyzzRg4cCDPPvtsq2sYMmQII0eOZJdddmn1sgKWBg40F3MwqhtGJH/aU4KfiDt37swHH3zAsmXLABg3bhxbbLGF56qc6urqZs+rYBeRxpRkd8whhxxCIuE+LTzwwAMce+yxtbctXbqUESNGsOuuu9KvXz+eeuopAMaMGcPhhx/OsGHD2GqrrRg9ejTXX389/fr1Y9CgQXz33Xe1y7j33nsZPHgwO+64I++8806Tyz3qqKMYNmwYQ4cObfY2FHOwd/NdgEjIlWSwH3PMMTz44INUVVUxY8YMBg4cWHvbNddcw3777cfkyZMZP348l1xyCUuXLgXggw8+4P777+edd97hiiuuYN1112X69Onsvvvu3HPPPbXLWLp0KW+++SY333wzI0aMaHK5kyZN4u677+aVV15p9jYUcx+7Wuwi+dXmQx4LQd++fUkmkzzwwAMceuih9W578cUXefrppxk5ciQAVVVVfPnllwDsu+++dOnShS5dulBeXs6wYe63wfv06cOMGTNql1HzCWDvvfdmyZIlLF68eI3LPfDAA+natWuLtkHBLiKNKckWO8Dw4cO5+OKLefXVV1m0aFHtdGstjz32GL169ao3/9tvv03Hjh1rr0cikdrrkUikXv94MEyx3vU1Lbdz584trl9dMSLSmJJ9jY0YMYKrrrqKPn361Jt+0EEH8c9//hNr3WCh6dOnt3jZDz30EAATJ06kvLyc8vLynCw3UzG32Df0XYBIyHVsepb8ac7wxHzp0aMH559//mrT//CHP3DBBRfQt29frLVEo9EWD4PccMMNGTx4MEuWLOHOO+/M2XIzmZp3iGITjSXGAQf4rkMkxO5MVlac1lYrmzp1qh0wQKeCb66pU6dy9dVXVwIdnn766Ysybyvmrphirl2kGBTzJ/qSVszh2M53ASIhp2AvUsX8wBXzm1KRsjaCtRHSaQPpCGlrsOkI1hps2v2fJlL7v7V100gbirPbr1SlMct91yBrp2iD/aKyhz/tTFU6Qtq0cwFDBEuEtI1gTTuTxrgQMi6MrAlCx5oGp1nTjjQGS8RYYzJuD5Ztav7WTDNYE6n/t+Z/U/O/wWIMq0/DGgM1/0cM1NwWTCOC+2tq5sXdFnGDpWruj6FuWvCXiMHWvPHV3lb3P5HgujF1b5CR4GKy/rr5DCaYVjNdwq8znOi7BlkLRRvs/1P25NbAPr7rEAmx5p+cRApKMbe8VvguQCTkVvouQNZO0bbYUbCL5JvfFnu8PMfLSzU5izGG3//+9/z9738HYOTIkfz444/E4/Hc1rIGuTi1r1rsItKYkuuK6dixI48//jgLFy5cq/u35NS6+VTMLXYdsRfJr598F9DWysrKOPPMMxk1ahTXXHNNvdu++OILRowYwYIFC9hkk0246667+NnPfsYpp5xC165dmT59Ov3792fRokV06tSJWbNm8cUXX3DXXXdx9913M2nSJAYOHMiYMWMAOOuss5g8eTLLli3jyCOP5Oqrr87ZdhRzi32x7wJEQm6u7wJ8OOecc7jvvvtIpep33Zx77rmcdNJJzJgxg+OPP57zzjuv9rbZs2fz0ksv1XbhfP/997zyyiuMGjWKYcOGceGFFzJz5kzef/993n33XcCdqnfKlCnMmDGDCRMm1DsDZGsVc7B/7bsAkZAryWBff/31Oemkk7jxxhvrTZ80aRLHHXccACeeeCITJ06sve2oo46iXbu670wOGzYMYwx9+vShW7du9OnTh0gkQu/evUkmkwA8/PDD9O/fn379+jFz5kw+/PDDnG2Dgl1EGlOSwQ5wwQUXcMcdd9T+2EVDMk+/m31q3cxT9mafzre6upo5c+YwcuRIXn75ZWbMmEFFRQVVVVU5q1/BLiKN+cZ3Ab507dqVo48+mjvuuKN22uDBg3nwwQcBuO+++9hzzz3XevlLliyhc+fOlJeXM3/+fJ5//vlW15ypmA+eKthF8stvi70ZwxPz6aKLLmL06NG112+88UZGjBjBddddV3vwdG3ttNNO9OvXj969e7P11luzxx575KLkWkV72l7i5RsA3/suQySklhFPrduWK9Rpe1smnKftjacWU4LDsUTaSMn2r4dB8Qa7o+4YkfxQsBcxBbuINMTHgVObTqc9rLb4pNNp1tSNrmAXkYa0eYs9EonMmjt3blrhvmbpdJq5c+emq6qqGj3vQTGPigH40ncBIiE1q61XmE6nh3722Wfvz507d4PMMeJSn7WWqqqq78aOHTsW1zhflT1PsQf7e74LEAmpqW29wgEDBnw1fPjwK4EBwLeAmu5rFgG6Ay9m31DswT7ZdwEiIVQN5O7EJS1zB+4Ef9uh3zVuSjUwDng4+4biHcdeI16+ENjIdxkiIfIe8dTOvouQtVfsB08BpvguQCRk9JoqcmEIdnXHiORWm/evS26FIdjVuhDJLQV7kQtDsKvFLpI7Pg+cSo4Uf7DHU99QwqcXFcmxmcRTuTsxuHhR/MHuqNUukhvqhgmBsAS7+tlFcmOS7wKk9cIS7K/4LkAkBCyQ8F2EtF5Ygv0tYL7vIkSK3FTiKZ2uNwTCEezxVBp4xncZIkXuad8FSG6EI9idp3wXIFLkFOwhEaZgfwlY6rsIkSL1JfGUzpYaEuEJdjf29j++yxApUurKDJHwBLuj7hiRtaNumBAJW7A/i/tKtIg03w/Aq76LkNwJV7DHU98BE32XIVJk/kM8tcJ3EZI74Qp250nfBYgUmSd8FyC5FcZgfwR1x4g01yLgMd9FSG6FL9jd2R7VAhFpnjuJp5b7LkJyK3zB7tzkuwCRIpAG/uW7CMm9cAZ7PDUBeN93GSIF7j/EU5/7LkJyL5zB7qjVLrJmt/guQPIjzMF+L5DyXYRIgfoCnaI3tMIb7PHUUmCM7zJECtStwVlRJYTCG+zOTbgfDxCROiuA230XIfkT7mCPpz4BXvRdhkiBeZR4aoHvIiR/wh3szmjfBYgUmFG+C5D8KoVgTwDTfBchUiAeJ57Sj7+HXPiDPZ6ywKW+yxApAKuAK3wXIfkX/mAHiKdeAsb5LkPEszHEU7N8FyH5VxrB7lyKRshI6aoC4r6LkLZROsEeT00HHvBdhogno4mnvvJdhLSN0gl250rcGF6RUpIC/uK7CGk7pRXs8dQcdDY7KT1/C35dTEpEaQW78ydgie8iRNrIPOAfvouQtlV6wR5PLQSu812GSBuJE0/95LsIaVulF+zO9cBnvosQybPXgNt8FyFtrzSD3bVgTsX9goxIGP0EnBZ8QU9KTGkGO0A89Tpwo+8yRPLkCuKpT30XIX6UbrA7lwOzfRchkmMTUaOlpBlrS/yTWrx8EPAGepNrGROBMyfAD9/A/b+BbjvCYaOgQ2dY/CU8fgYs/2H1+w38HQw4GTAw7W54K/h1tgOuhp4HwLz34YnfuWl9fwOdNoS3NUK1BZYBOwWnrJYSpTCLp94CRvouo+gMOgsWflx3ffg/4aU43DIYZj0Lg89b/T6bbu9C/d/7wb/2gF8cDF23ho7rw5a7wS17gGkHm+4AZevAzsfDZP0eRAtdoVAXBbtzFfCh7yKKxvqbQ8+DYNo9ddM23ha+eMP9/9l42GH46vfbuBd8NQVWLoP0KkhOhO2HgU1Duw5unvadIL0S9jjPtdTT1fnfnvB4A7jBdxHin4IdIJ5aDpwMKEWa4+BKGHeVC+Qa334EvQ51//c+HNbfYvX7ffsh/Hyw615p3wl6DnXzrfgRPnoafvc6fJ+EqiWweX/4+Lm22JqwWAaM0O+YCijY67gfH/ir7zIK3i8OgqULYO679ac/dQ7sdobrd++wHqxaufp9F86Gif+Ak56CEx6D+R/UtcjfuAH+tRe8eCXsdyWMvxb6nwRHjYG9L87zRoVCjHhKAwEEgDLfBRSYq4E9gCGe6yhcWw6CXodAzwNdP3jHLvDr2+DxM2Hsr9w8G23j3gAaMn2suwDsfxUs+ab+7d37ur+LPoVDKuGuQ+HIO11f/Hef52ebit89xFMaBSO11GLPFE+tBI4ElCCNeflquH4H+EdfeHQEzHnNhXrnjd3txsDel8CUOxu+f8185T1c//r7j9a/fb8rYPw10K69O5AKrsun/br52Z7i9zZwpu8ipLAo2LPFU4uA4UADY/WkUTseCf8zFc6dAj/Mg+n3uuldusPxj9TNd/RYOOdtOPZBSFwMVYvrbtuuAr6e5u5flYKvJsNZb4K1rttGsn0D/Co4RiRSS+PYGxMvPwx4Cr35SWGqAvYhnnrHdyFSeBRajYmnngUu812GSCPOUKhLYxTsaxJP/Q24p8n5RNrWSOKpe30XIYVLwd60M4FJvosQCbyA+2F2kUapj7054uXdgMnAlr5LkZL2MTCIeGqx70KksKnF3hzx1HzgMEC/Gym+JIEDFerSHAr25oqnZgBDcb/4LtKWvgb2J576r+9CpDgo2FsinpoKHITGuEvbmY8LdX1pTppNwd5S8dTbwCHAUt+lSOgtBA4gnvq4yTlFMijY10Y89QZwMGq5S/7MB4YQT+krt9JiCva1FU9NBPYHvvddioTO17hvlc70XYgUJwV7a8RTk4F9gQW+S5HQ+ALYW90v0hoK9taKp94D9sa1skRaYyYu1HWgVFpFwZ4L8dQsYDdA5+6QtfUMsDvx1Je+C5Hip2DPlXjqG1zLXeeWkZb6C3A48ZQOxktO6JQC+RAvvxC4DmjnuxQpaFXAacRT9/suRMJFwZ4v8fIDgIeArr5LkYL0Na6VPsV3IRI+CvZ8ipdvg/uxjt6+S5GC8jbul4/m+i5Ewkl97PkUT30GDAKe8F2KFIx7cV88UqhL3qjF3hbi5Qa4ErgKKPNcjfjxI/C/xFO3+C5Ewk/B3pbi5f2Bu4C+vkuRNjUeGEE8lfRdiJQGdcW0pXhqGrALcDWw0nM1kn9LgXNxZ2dMeq5FSoha7L7Ey3cC7gT6+y5F8uI14FR9i1R8UIvdF3cqgoHAFcAKz9VI7vwEnI87QKpQFy/UYi8E8fLeuL73XX2XIq3yOq4v/VPfhUhpU4u9ELjTs+4OXIR+V7UYfQmcgmulK9TFO7XYC028vBy4BLgA6Oy3GGnCIuBa4CbiqeW+ixGpoWAvVPHybrix72cCHTxXI/X9BIwCriOe0o+bS8FRsBe6ePlWuOGRx6OuM9+qgduB/9M3R6WQKdiLRbx8R+DPwC99l1KCLPAIcCXx1Ce+ixFpioK92MTLBwEX4wJepyfIr6XAfbg+9Bm+ixFpLgV7sYqXbw6cDpwB9PBcTdjMBm4GxqgPXYqRgr3YxcvbAYcBZwFDAeO3oKK1CvfzdDcBLxNP6YUhRUvBHibu/O+/BU4FNvZcTbH4FndA9Fb93qiEhYI9jOLlHYEjgstQYD2/BRWcBUAC9yMozxFP6ZQOEioK9rBzIT8E110zDPi513r8mY0L8qeBN4mn0p7rEckbBXupiZf3wQX8MGA3wjs2Pg28hQvzp4inPvZcj0ibUbCXsnj5psChwB7AANxvsxbrt1yXAu8CU4DJwDjiqW+9ViTiiYJd6sTLOwA74s4R3x8X9n2BdXyW1YBlwHu4EK+5zCKeWuW1KpECoWCXNYuXlwHb44K+N7A50B3YLLhsmIe1WmAh8E3WZQ4wDZhJPFWdh/WKhIKCXVrHHZztTv2w744biVMGtMv4G8H9JOBK3I+L1PxdQF14fw3MJZ7STweKrCUFu4hIyIR1RISISMlSsIuIhIyCXUQkZBTsIiIho2AXEQkZBbuISMgo2EVEQkbBLiISMgp2EZGQUbCLiISMgl1EJGQU7CIiIaNgFxEJGQW7iEjIKNhFREJGwS4iEjIKdhGRkFGwi4iEjIJdRCRkFOwiIiGjYBcRCRkFu4hIyCjYRURCRsEuIhIyCnYRkZBRsIuIhIyCXUQkZBTsIiIho2AXEQkZBbuISMgo2EVEQkbBLiISMgp2EZGQ+X8hx5GlF8ffrQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "transaction_by_customer = df.groupby('Customer type')['Invoice ID'].count().reset_index().rename(columns={'Invoice ID': 'Count'})\n",
    "\n",
    "plt.figure(figsize=(10, 5))\n",
    "patches, _, texts = plt.pie(transaction_by_customer['Count'], autopct='%1.1f%%')\n",
    "for text in texts:\n",
    "    text.set_color('white')\n",
    "plt.title('Transaction Count By Customer Type', color='blue', fontsize=16, pad=24)\n",
    "plt.legend(patches, ['Member', 'Normal'], loc='right', bbox_to_anchor=(1.3, 0.5), shadow=True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3647d864",
   "metadata": {},
   "source": [
    "## 5. Product Line Average Rating"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "363f7718",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "product_rating = df.groupby('Product line')['Rating'].mean().sort_values().reset_index()\n",
    "\n",
    "plt.figure(figsize=(10, 5))\n",
    "plt.barh(product_rating['Product line'], product_rating['Rating'])\n",
    "plt.title('Product Line Average Rating', fontsize=16, color='blue', pad=24)\n",
    "plt.xlabel('Average Rating', fontsize=12, labelpad=16)\n",
    "plt.ylabel('Product Line', fontsize=12, labelpad=16)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a5ecb61a",
   "metadata": {},
   "source": [
    "## 6. Number Of Transactions Based On City"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "26019b95",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><span style=\"color:#565656\">Make this Notebook Trusted to load map: File -> Trust Notebook</span><iframe srcdoc=\"&lt;!DOCTYPE html&gt;\n",
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       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap-theme.min.css&quot;/&gt;\n",
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       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/gh/python-visualization/folium/folium/templates/leaflet.awesome.rotate.min.css&quot;/&gt;\n",
       "    \n",
       "            &lt;meta name=&quot;viewport&quot; content=&quot;width=device-width,\n",
       "                initial-scale=1.0, maximum-scale=1.0, user-scalable=no&quot; /&gt;\n",
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       "                #map_0856d35230a55a1a0ea0ef770bad4940 {\n",
       "                    position: relative;\n",
       "                    width: 100.0%;\n",
       "                    height: 100.0%;\n",
       "                    left: 0.0%;\n",
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       "                }\n",
       "            &lt;/style&gt;\n",
       "        \n",
       "&lt;/head&gt;\n",
       "&lt;body&gt;    \n",
       "    \n",
       "            &lt;div class=&quot;folium-map&quot; id=&quot;map_0856d35230a55a1a0ea0ef770bad4940&quot; &gt;&lt;/div&gt;\n",
       "        \n",
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       "&lt;script&gt;    \n",
       "    \n",
       "            var map_0856d35230a55a1a0ea0ef770bad4940 = L.map(\n",
       "                &quot;map_0856d35230a55a1a0ea0ef770bad4940&quot;,\n",
       "                {\n",
       "                    center: [16.86607, 96.195129],\n",
       "                    crs: L.CRS.EPSG3857,\n",
       "                    zoom: 5,\n",
       "                    zoomControl: true,\n",
       "                    preferCanvas: false,\n",
       "                }\n",
       "            );\n",
       "\n",
       "            \n",
       "\n",
       "        \n",
       "    \n",
       "            var tile_layer_d09d02c20438836f48765fa78bb7a802 = L.tileLayer(\n",
       "                &quot;https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png&quot;,\n",
       "                {&quot;attribution&quot;: &quot;Data by \\u0026copy; \\u003ca href=\\&quot;http://openstreetmap.org\\&quot;\\u003eOpenStreetMap\\u003c/a\\u003e, under \\u003ca href=\\&quot;http://www.openstreetmap.org/copyright\\&quot;\\u003eODbL\\u003c/a\\u003e.&quot;, &quot;detectRetina&quot;: false, &quot;maxNativeZoom&quot;: 18, &quot;maxZoom&quot;: 18, &quot;minZoom&quot;: 0, &quot;noWrap&quot;: false, &quot;opacity&quot;: 1, &quot;subdomains&quot;: &quot;abc&quot;, &quot;tms&quot;: false}\n",
       "            ).addTo(map_0856d35230a55a1a0ea0ef770bad4940);\n",
       "        \n",
       "    \n",
       "            var marker_254a0cba135a735c6ee3a2eac8dbb332 = L.marker(\n",
       "                [21.958828, 96.093292],\n",
       "                {}\n",
       "            ).addTo(map_0856d35230a55a1a0ea0ef770bad4940);\n",
       "        \n",
       "    \n",
       "            var icon_e5520ad00d318af2d1c2e48f055e1dfb = L.AwesomeMarkers.icon(\n",
       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;red&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
       "            );\n",
       "            marker_254a0cba135a735c6ee3a2eac8dbb332.setIcon(icon_e5520ad00d318af2d1c2e48f055e1dfb);\n",
       "        \n",
       "    \n",
       "        var popup_57604bb77d049e87163fad21dee9aca8 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_795eee0c1abe24808ca13b495f6480de = $(`&lt;div id=&quot;html_795eee0c1abe24808ca13b495f6480de&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;strong&gt;Mandalay&lt;/strong&gt;&lt;p&gt;Transaction Count:332&lt;/p&gt;&lt;/div&gt;`)[0];\n",
       "            popup_57604bb77d049e87163fad21dee9aca8.setContent(html_795eee0c1abe24808ca13b495f6480de);\n",
       "        \n",
       "\n",
       "        marker_254a0cba135a735c6ee3a2eac8dbb332.bindPopup(popup_57604bb77d049e87163fad21dee9aca8)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_43422d3c7c1f8f44219b0b0a15f9eba2 = L.marker(\n",
       "                [19.874269, 96.0785104],\n",
       "                {}\n",
       "            ).addTo(map_0856d35230a55a1a0ea0ef770bad4940);\n",
       "        \n",
       "    \n",
       "            var icon_0cc3c98f878b29515439d6c3a33e68a8 = L.AwesomeMarkers.icon(\n",
       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;red&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
       "            );\n",
       "            marker_43422d3c7c1f8f44219b0b0a15f9eba2.setIcon(icon_0cc3c98f878b29515439d6c3a33e68a8);\n",
       "        \n",
       "    \n",
       "        var popup_092a499bb730e08ecaac6a943f825df2 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_425e5875df55633630d4162b1eb1c844 = $(`&lt;div id=&quot;html_425e5875df55633630d4162b1eb1c844&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;strong&gt;Naypyitaw&lt;/strong&gt;&lt;p&gt;Transaction Count:328&lt;/p&gt;&lt;/div&gt;`)[0];\n",
       "            popup_092a499bb730e08ecaac6a943f825df2.setContent(html_425e5875df55633630d4162b1eb1c844);\n",
       "        \n",
       "\n",
       "        marker_43422d3c7c1f8f44219b0b0a15f9eba2.bindPopup(popup_092a499bb730e08ecaac6a943f825df2)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_5c3835ee7310c778ae20c770d8e4e5d8 = L.marker(\n",
       "                [16.86607, 96.195129],\n",
       "                {}\n",
       "            ).addTo(map_0856d35230a55a1a0ea0ef770bad4940);\n",
       "        \n",
       "    \n",
       "            var icon_fc248a7f69425f63f28b399ad878ca9c = L.AwesomeMarkers.icon(\n",
       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;red&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
       "            );\n",
       "            marker_5c3835ee7310c778ae20c770d8e4e5d8.setIcon(icon_fc248a7f69425f63f28b399ad878ca9c);\n",
       "        \n",
       "    \n",
       "        var popup_5a018b99621aba1ff2aefe0cd558a6e2 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_881461c0b3884873daf351377c66fa9c = $(`&lt;div id=&quot;html_881461c0b3884873daf351377c66fa9c&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;strong&gt;Yangon&lt;/strong&gt;&lt;p&gt;Transaction Count:340&lt;/p&gt;&lt;/div&gt;`)[0];\n",
       "            popup_5a018b99621aba1ff2aefe0cd558a6e2.setContent(html_881461c0b3884873daf351377c66fa9c);\n",
       "        \n",
       "\n",
       "        marker_5c3835ee7310c778ae20c770d8e4e5d8.bindPopup(popup_5a018b99621aba1ff2aefe0cd558a6e2)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "&lt;/script&gt;\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x21aa4bd7d30>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "city_transactions = df.groupby('City')['Invoice ID'].count().reset_index().rename(columns={'Invoice ID': 'Count'})\n",
    "\n",
    "city_transactions_list = []\n",
    "\n",
    "i = 0\n",
    "for _, col_data in city_transactions.iteritems():\n",
    "    if i == 0:\n",
    "        city = col_data.to_numpy()\n",
    "        for c in city:\n",
    "            city_map = {}\n",
    "            city_map['City'] = c\n",
    "            city_map['Count'] = 0\n",
    "            city_map['Latitude'] = 16.866070 if c == 'Yangon' else 19.874269 if c == 'Naypyitaw' else 21.958828\n",
    "            city_map['Longitude'] = 96.195129 if c == 'Yangon' else 96.0785104 if c == 'Naypyitaw' else 96.093292\n",
    "            city_transactions_list.append(city_map)\n",
    "        i += 1\n",
    "    else:\n",
    "        curr_idx = 0\n",
    "        value = col_data.to_numpy()\n",
    "        for c in city:\n",
    "            city_transactions_list[curr_idx]['Count'] = value[curr_idx]\n",
    "            curr_idx += 1\n",
    "            \n",
    "m = folium.Map(location=[16.866070, 96.195129], zoom_start=5)\n",
    "for city in city_transactions_list:\n",
    "    folium.Marker(location=[city['Latitude'], city['Longitude']], popup='<strong>' + city['City'] + '</strong><p>Transaction Count:' + str(city['Count']) + '</p>', icon=folium.Icon(color='red')).add_to(m)\n",
    "m"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8c7df038",
   "metadata": {},
   "source": [
    "## 7. Total Revenue By Product Line Based On Customer Gender"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "b538a59d",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "product_revenue = df.groupby(['Product line', 'Gender'])['Total'].sum().sort_values(ascending=False).unstack().plot(kind='bar', stacked=True)\n",
    "\n",
    "plt.title('Total Revenue By Product Line Based On Customer Gender', fontsize=16, pad=24, color='blue')\n",
    "plt.xlabel('Product Line', fontsize=12, labelpad=16)\n",
    "plt.ylabel('Total Revenue', fontsize=12, labelpad=16)\n",
    "plt.legend(loc='right', bbox_to_anchor=(1.2, .5), shadow=True)\n",
    "plt.xticks(rotation=45)\n",
    "plt.gcf().set_size_inches(10, 5)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c94ddb18",
   "metadata": {},
   "source": [
    "## 8. Payment Method Being Used By Customer For Doing Transaction"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "7a5ec248",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "payment_method = df.groupby('Payment')['Invoice ID'].count().reset_index().rename(columns={'Payment': 'Method', 'Invoice ID': 'Count'})\n",
    "\n",
    "plt.figure(figsize=(10, 5))\n",
    "patches, _, texts = plt.pie(payment_method['Count'], autopct='%1.1f%%')\n",
    "for text in texts:\n",
    "    text.set_color('white')\n",
    "plt.title('Payment Method Being Used By Customer For Doing Transaction', color='blue', fontsize=16, pad=24)\n",
    "plt.legend(patches, ['Cash', 'Credit Card', 'E-Wallet'], loc='right', bbox_to_anchor=(1.4, 0.5), shadow=True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "29bbc6be",
   "metadata": {},
   "source": [
    "## 9. Product Line Gross Income By Customer Type"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "64895822",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "product_gross_income = df.groupby(['Product line', 'Customer type'])['gross income'].sum().sort_values(ascending=False).unstack().plot(kind='bar', stacked=True)\n",
    "\n",
    "plt.title('Product Line Gross Income By Customer Type', color='blue', fontsize=16, pad=24)\n",
    "plt.xlabel('Product Line' , fontsize=12, labelpad=16)\n",
    "plt.ylabel('Gross Income', fontsize=12, labelpad=16)\n",
    "plt.legend(loc='right', bbox_to_anchor=(1.2, .5), shadow=True)\n",
    "plt.xticks(rotation=45)\n",
    "plt.gcf().set_size_inches(10, 5)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a89d35b0",
   "metadata": {},
   "source": [
    "## Summary From Dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "18e4419e",
   "metadata": {},
   "source": [
    "1. Most of female customer spend their money on \"Fashion Accessories\" product line, while, male customer mostly spend their money on \"Electronic Accessories\" and \"Health and Beauty\" product line\n",
    "2. Most customer do their transaction on around 7PM based on the data\n",
    "3. The highest average rating among all product line is \"Food and Beverages\", while, the lowest average rating among all product line is \"Home and Lifestyle\"\n",
    "4. Yangon city has the most transaction count compare to other city, with 340 transaction count on the first quartal of 2019\n",
    "5. \"Food and Beverages\" product line revenue mostly came from female customers, while, \"Health and Beauty\" product line revenue mostly came from male customers\n",
    "6. \"Electronic Accessories\" product line gross income mostly came from normal type customers, while, \"Food and Beverages\" product line gross income mostly came from member type customers"
   ]
  }
 ],
 "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": "3.9.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}