Analysis-Code.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "8dc28b57",
   "metadata": {},
   "source": [
    "## Loading Data & Libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "3c96b5db",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import datetime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "289260e9",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pd.read_csv(\"supermarket_sales.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fdb69ac5",
   "metadata": {},
   "source": [
    "## Show Sample Of Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "82e17318",
   "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>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": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3fb08e0b",
   "metadata": {},
   "source": [
    "## Show More Info"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "45592d85",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1000, 17)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "34fdd5ce",
   "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": [
    "data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "b87ef344",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Invoice ID                 0\n",
       "Branch                     0\n",
       "City                       0\n",
       "Customer type              0\n",
       "Gender                     0\n",
       "Product line               0\n",
       "Unit price                 0\n",
       "Quantity                   0\n",
       "Tax 5%                     0\n",
       "Total                      0\n",
       "Date                       0\n",
       "Time                       0\n",
       "Payment                    0\n",
       "cogs                       0\n",
       "gross margin percentage    0\n",
       "gross income               0\n",
       "Rating                     0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "9fd17baf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.duplicated().any()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "7fe59f05",
   "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>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": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dcae5185",
   "metadata": {},
   "source": [
    "### Above cells' conclusion\n",
    "\n",
    "- Dataset no missing values\n",
    "- Dataset has no complete duplicates\n",
    "- We need to remove some columns not use \n",
    "- We need to modify some column data type"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "07940ee7",
   "metadata": {},
   "source": [
    "## Cleaning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "b693af32",
   "metadata": {},
   "outputs": [],
   "source": [
    "# convert data column to datetime\n",
    "\n",
    "data[\"Date\"] = pd.to_datetime(data[\"Date\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "41a46de2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0     2019-01-05\n",
       "1     2019-03-08\n",
       "2     2019-03-03\n",
       "3     2019-01-27\n",
       "4     2019-02-08\n",
       "         ...    \n",
       "995   2019-01-29\n",
       "996   2019-03-02\n",
       "997   2019-02-09\n",
       "998   2019-02-22\n",
       "999   2019-02-18\n",
       "Name: Date, Length: 1000, dtype: datetime64[ns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[\"Date\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "d2c474ce",
   "metadata": {},
   "outputs": [],
   "source": [
    "# add new column Month  \n",
    "\n",
    "data[\"Month\"] = data[\"Date\"].dt.month_name()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "c545debd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       January\n",
       "1         March\n",
       "2         March\n",
       "3       January\n",
       "4      February\n",
       "         ...   \n",
       "995     January\n",
       "996       March\n",
       "997    February\n",
       "998    February\n",
       "999    February\n",
       "Name: Month, Length: 1000, dtype: object"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[\"Month\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "794262c1",
   "metadata": {},
   "outputs": [],
   "source": [
    "# remove invoice ID column\n",
    "\n",
    "data.drop(columns = \"Invoice ID\", inplace = True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0af852bf",
   "metadata": {},
   "source": [
    "## Univariate Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "9cc368a1",
   "metadata": {},
   "outputs": [],
   "source": [
    "# set style of visualization\n",
    "\n",
    "sns.set_style(\"whitegrid\")\n",
    "sns.set_palette(\"RdBu\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8cd62839",
   "metadata": {},
   "source": [
    "### Discovering `Branch` column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "1c7b8749",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['A', 'C', 'B'], dtype=object)"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# show unique values\n",
    "\n",
    "data[\"Branch\"].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "2658859d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "A    340\n",
       "B    332\n",
       "C    328\n",
       "Name: Branch, dtype: int64"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# output value counts of each unique values\n",
    "\n",
    "data[\"Branch\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "35ca7b9e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# visualized Branch column \n",
    "\n",
    "# 1- create count plot\n",
    "sns.catplot(x = \"Branch\", data = data, kind = \"count\", order = data.Branch.value_counts().index)\n",
    "plt.title(\"Sales number between Branches\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d7b8172c",
   "metadata": {},
   "source": [
    "### From the above\n",
    "\n",
    "- #### We have 3 Branches A, B and C\n",
    "\n",
    "    - Branche `A` has largest Sales numbers\n",
    "    - Branche `C` has fewest Sales numbers"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5ed51485",
   "metadata": {},
   "source": [
    "### Discovering `Customer type` column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "58cbe2e1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Member', 'Normal'], dtype=object)"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# show unique values\n",
    "\n",
    "data[\"Customer type\"].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "ca00295d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Member    501\n",
       "Normal    499\n",
       "Name: Customer type, dtype: int64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# output value counts of each unique values\n",
    "\n",
    "data[\"Customer type\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "b7a6ef12",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# visualized Customer type column \n",
    "\n",
    "# 1- create count plot\n",
    "sns.catplot(x = \"Customer type\", data = data, kind = \"count\", order = data[\"Customer type\"].value_counts().index)\n",
    "plt.title(\"Customer type in Branches\")\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "91981c53",
   "metadata": {},
   "source": [
    "### From the above\n",
    "\n",
    "- Most people come to branches has `member card`"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "095a0a00",
   "metadata": {},
   "source": [
    "### Discovering `Gender` column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "c223bd5b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Female', 'Male'], dtype=object)"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# show unique values\n",
    "\n",
    "data[\"Gender\"].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "eea9ee15",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Female    501\n",
       "Male      499\n",
       "Name: Gender, dtype: int64"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# output value counts of each unique values\n",
    "\n",
    "data[\"Gender\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "cd6a4143",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# visualized Gender column \n",
    "\n",
    "# 1- create count plot\n",
    "sns.catplot(x = \"Gender\", data = data, kind = \"count\", order = data.Gender.value_counts().index)\n",
    "plt.title(\"Customer Gender in Branches\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "55e3a0f4",
   "metadata": {},
   "source": [
    "### From the above\n",
    "\n",
    "- Most Gender Come to branches is `female`"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "167161b0",
   "metadata": {},
   "source": [
    "### Discovering `Product line` column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "d3c9ae6c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Health and beauty', 'Electronic accessories',\n",
       "       'Home and lifestyle', 'Sports and travel', 'Food and beverages',\n",
       "       'Fashion accessories'], dtype=object)"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# show unique values\n",
    "\n",
    "data[\"Product line\"].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "f532c90a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Fashion accessories       178\n",
       "Food and beverages        174\n",
       "Electronic accessories    170\n",
       "Sports and travel         166\n",
       "Home and lifestyle        160\n",
       "Health and beauty         152\n",
       "Name: Product line, dtype: int64"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# output value counts of each unique values\n",
    "\n",
    "data[\"Product line\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "cae6abf5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# visualized Product line column \n",
    "\n",
    "# 1- create count plot\n",
    "sns.catplot(x = \"Product line\", data = data, kind = \"count\", order = data[\"Product line\"].value_counts().index)\n",
    "plt.title(\"Product line Sales in Branches\")\n",
    "plt.xticks(rotation = 70)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aa280330",
   "metadata": {},
   "source": [
    "### From the above\n",
    "\n",
    "- Most sales in branches is `Fashion accessories`"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f3e83141",
   "metadata": {},
   "source": [
    "### Discovering `Payment` column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "47268fcc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Ewallet', 'Cash', 'Credit card'], dtype=object)"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# show unique values\n",
    "\n",
    "data[\"Payment\"].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "b0443041",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Ewallet        345\n",
       "Cash           344\n",
       "Credit card    311\n",
       "Name: Payment, dtype: int64"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# output value counts of each unique values\n",
    "\n",
    "data[\"Payment\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "9f412d85",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# visualized Payment column \n",
    "\n",
    "# 1- create count plot\n",
    "sns.catplot(x = \"Payment\", data = data, kind = \"count\", order = data.Payment.value_counts().index)\n",
    "plt.title(\"Different types of payments by customers\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aa6f9d1f",
   "metadata": {},
   "source": [
    "### From the above\n",
    "\n",
    "- Customers prefered to `Ewallet`,`cash payments`"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8e73c77c",
   "metadata": {},
   "source": [
    "### Discovering `Rating` column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "ff5fd556",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 9.1,  9.6,  7.4,  8.4,  5.3,  4.1,  5.8,  8. ,  7.2,  5.9,  4.5,\n",
       "        6.8,  7.1,  8.2,  5.7,  4.6,  6.9,  8.6,  4.4,  4.8,  5.1,  9.9,\n",
       "        6. ,  8.5,  6.7,  7.7,  7.5,  7. ,  4.7,  7.6,  7.9,  6.3,  5.6,\n",
       "        9.5,  8.1,  6.5,  6.1,  6.6,  5.4,  9.3, 10. ,  6.4,  4.3,  4. ,\n",
       "        8.7,  9.4,  5.5,  8.3,  7.3,  4.9,  4.2,  9.2,  7.8,  5.2,  9. ,\n",
       "        8.8,  6.2,  9.8,  9.7,  5. ,  8.9])"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# show unique values\n",
    "\n",
    "data[\"Rating\"].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "4147ca34",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# visualized Rating column \n",
    "\n",
    "# 1- create count plot\n",
    "sns.catplot(y = \"Rating\", data = data, kind = \"box\")\n",
    "plt.title(\"Distribution of customer ratings\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d6b24090",
   "metadata": {},
   "source": [
    "### From the above\n",
    "\n",
    "- Average rating across products is approximately `7`"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bef5df0f",
   "metadata": {},
   "source": [
    "### Discovering `Month` column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "cbb3208e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "January     352\n",
       "March       345\n",
       "February    303\n",
       "Name: Month, dtype: int64"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# output value counts of each unique values\n",
    "\n",
    "data[\"Month\"].value_counts(dropna = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "8467df5b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# visualized Month column \n",
    "\n",
    "# 1- create count plot\n",
    "sns.catplot(x = \"Month\", data = data, kind = \"count\")\n",
    "plt.title(\"Distribution of customer sales in month\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3c42579c",
   "metadata": {},
   "source": [
    "- Most sales in january month"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "629a58c8",
   "metadata": {},
   "source": [
    "## Exploratory Data Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "4959c72c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# show Gross Income of each Branch\n",
    "\n",
    "fig = sns.catplot(x = \"Branch\", y = \"gross income\", data = data, kind = \"box\")\n",
    "fig.fig.suptitle(\"Customers Gross Income of each Branch\", y = 1.1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "616a9f4c",
   "metadata": {},
   "source": [
    "\n",
    "\n",
    "- Branch `C` stands out slightly with higher income compared to Branch `A` and `B`. Despite Branch `A` having slightly higher sales, it is Branch `C`  that emerges as the most profitable branch in terms of gross income"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "0db1d5cd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# There is relationship between gross income and customer ratings?\n",
    "\n",
    "sns.relplot(x = \"Rating\", y = \"gross income\", data = data, kind = \"scatter\")\n",
    "plt.title(\"Relationship between Gross income vs Customer Ratings\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d27d091f",
   "metadata": {},
   "source": [
    "- No relationship between rating and gross income"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "780f0adf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 596.25x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# show gender come to branches\n",
    "\n",
    "sns.catplot(x = \"Branch\", hue = \"Gender\", data = data, kind = \"count\")\n",
    "plt.title(\"Customer Gender in each Branch\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "818c99f5",
   "metadata": {},
   "source": [
    "- Branch `A`,`B` has males greater than females, but branch `C` has females greater than males"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "a145fb7a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1500x500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# What is male and female gross income in each branch?\n",
    "\n",
    "fig = sns.catplot(x = \"Gender\", y = \"gross income\", data = data, kind = \"box\", col = \"Branch\")\n",
    "fig.fig.suptitle(\"Male vs Female Gross Income\", y = 1.1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b6ed6999",
   "metadata": {},
   "source": [
    "- Female gross income greater than Male in each branch"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "4f7e66e9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 560.125x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# show sales product line in branches\n",
    "\n",
    "sns.catplot(x = \"Product line\", data = data, kind = \"count\", hue = \"Branch\")\n",
    "plt.title(\"Product line sales in branches\")\n",
    "plt.xticks(rotation = 90)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "32478aa8",
   "metadata": {},
   "source": [
    "### From above\n",
    "- Electronic accessories, Home and lifestyle is the most sales in branch A\n",
    "- Health and beauty, Sports and travel is the most sales in branch B\n",
    "- Food and beverages, Fashion accessories is the most sales in branch C"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "c7208a10",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# show customer type in each branch\n",
    "\n",
    "sns.countplot(x = \"Branch\", data = data, hue = \"Customer type\")\n",
    "plt.title(\"Customer type in each branch\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3ead548f",
   "metadata": {},
   "source": [
    "### From above\n",
    "- Branch `A`, `Normal` customer greater than `Member`\n",
    "- Branch `B`, `Normal` customer greater than `Member`\n",
    "- Branch `C`, `Member` customer greater than `Normal`\n",
    "\n",
    "#### `When  number of members in Branch increased,Total of gross income increased` "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "659dea8d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# show Customer gender VS Product line\n",
    "\n",
    "plt.figure(figsize = (15,7))\n",
    "sns.countplot(x = \"Product line\", data = data, hue = \"Gender\")\n",
    "plt.title(\"Total Transaction by Gender\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ab2cda50",
   "metadata": {},
   "source": [
    "\n",
    "####  When number of females increase, `Fashion accessories` Product line increase\n",
    "\n",
    "#### When number of male increase,`Health and beauty` Product line increase\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "f2b938a8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Which product line have greater gross income?\n",
    "\n",
    "# 1- create products dataFrame\n",
    "products = data.groupby(\"Product line\")[[\"gross income\"]].sum().sort_values(by = \"gross income\", ascending = False)\n",
    "\n",
    "# 2- visualized products\n",
    "sns.barplot(x = products.index, y = \"gross income\", data = products)\n",
    "plt.title(\"Product line generate most income\")\n",
    "plt.xticks(rotation = 25)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9fe495e0",
   "metadata": {},
   "source": [
    "-  Gross income is highest in `food and beverages`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "0accc7c8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# What is month has greater gross income?\n",
    "\n",
    "sns.boxplot(x = \"Month\", y = \"gross income\", data = data)\n",
    "plt.title(\"Gross income in each month\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a736eb5f",
   "metadata": {},
   "source": [
    "- january month has greater gross income"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "5c90afc3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1700x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# What is greater sales  product line in each month?\n",
    "\n",
    "plt.figure(figsize = (17,8))\n",
    "fig = sns.countplot(x = \"Month\", data = data, hue = \"Product line\")\n",
    "plt.title(\"Product line sales in each month\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9df00bb4",
   "metadata": {},
   "source": [
    "### From above\n",
    "- #### 1. January month\n",
    "  - Sports and travel, Fashion accessories is the most product line sales \n",
    "\n",
    "- #### 2. March month\n",
    "    - Electronic accessories, Home and lifestyle is the most product line sales \n",
    "\n",
    "- #### 3. February month\n",
    "    - Food and beverages, Fashion accessories is the most product line sales \n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "af5870e1",
   "metadata": {},
   "source": [
    "## Conclusion"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9aedc916",
   "metadata": {},
   "source": [
    "- #### Customer average rating of approximately `7`. there was no relationship between customer ratings and gross income\n",
    "\n",
    "- #### Among the three branches, Branch `C` as the most profitable in terms of gross income, despite Branch `A` having slightly higher sales\n",
    "\n",
    "- #### `Fashion Accessories` and `Food and Beverages` were the most products. Therefore, must focus on these categories, with electronic accessories\n",
    "\n",
    "- #### The preferred payment method for customers was found to be `Ewallet` and `Cash`\n",
    "\n",
    "- #### `Food and Beverage` proved to be the category generating the highest gross income overall\n",
    "\n",
    "- #### Females  spend the most on `fashion accessories`, while males  preference for `health and beauty` products Females also spending on `sports and travel`, which contributed to the highest overall income\n",
    "\n",
    "- #### `In the end, there was no relationship between customer ratings were not significantly related to any variable`"
   ]
  }
 ],
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  "kernelspec": {
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    "name": "ipython",
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   "file_extension": ".py",
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