DikaKencanaPutera_DataVisualization_Analyzing eCommerce Business Performance.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd \n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('E:/DIKA/DATA PRODUKTIF DIKA/DATA SCIENCE/Rakamin/Mini project/Analyzing eCommerce Business Performance with SQL/Tugas 2/query_result.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "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>year</th>\n",
       "      <th>avg_mau</th>\n",
       "      <th>total_new_customer</th>\n",
       "      <th>total_repeat_customer</th>\n",
       "      <th>avg_total_order</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2016</td>\n",
       "      <td>108.67</td>\n",
       "      <td>326</td>\n",
       "      <td>3</td>\n",
       "      <td>1.009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2017</td>\n",
       "      <td>3694.83</td>\n",
       "      <td>43708</td>\n",
       "      <td>1256</td>\n",
       "      <td>1.032</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2018</td>\n",
       "      <td>5338.20</td>\n",
       "      <td>52062</td>\n",
       "      <td>1167</td>\n",
       "      <td>1.024</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   year  avg_mau  total_new_customer  total_repeat_customer  avg_total_order\n",
       "0  2016   108.67                 326                      3            1.009\n",
       "1  2017  3694.83               43708                   1256            1.032\n",
       "2  2018  5338.20               52062                   1167            1.024"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "cat = []\n",
    "num = []\n",
    "for col in df.columns: \n",
    "    if df[col].dtype == 'O':\n",
    "        cat.append(col)\n",
    "    else: \n",
    "        num.append(col)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(5, 5))\n",
    "plt.plot(df.year, df.total_new_customer, color ='blue', linewidth=2.5, marker='o')\n",
    "plt.title('New Customers Over Year', fontsize = 14, pad=20, weight='bold')\n",
    "plt.xlabel('Year')\n",
    "plt.ylabel('Total Customer')\n",
    "plt.xticks(range(2016, 2019))\n",
    "sns.despine()\n",
    "plt.grid(color='darkgray', linestyle=':')\n",
    "plt.tight_layout()\n",
    "plt.savefig('NewCustomers.png')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(5, 5))\n",
    "plt.plot(df.year, df.total_repeat_customer, color ='red', linewidth=2.5, marker='o')\n",
    "plt.title('Repeat Order Customers Over Year', fontsize = 14, pad=20, weight='bold')\n",
    "plt.xlabel('Year')\n",
    "plt.ylabel('Total Customer')\n",
    "plt.xticks(range(2016, 2019))\n",
    "sns.despine()\n",
    "plt.grid(color='darkgray', linestyle=':')\n",
    "plt.tight_layout()\n",
    "plt.savefig('RepeatOrderCustomers.png')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(5, 5))\n",
    "plt.plot(df.year, df.avg_mau, color ='green', linewidth=2.5, marker='o')\n",
    "plt.title('Average MAU (Monthly Active Users)\\nOver Year', fontsize = 14, pad=20, weight='bold')\n",
    "plt.xlabel('Year')\n",
    "plt.ylabel('Average Customer')\n",
    "plt.xticks(range(2016, 2019))\n",
    "sns.despine()\n",
    "plt.grid(color='darkgray', linestyle=':')\n",
    "plt.tight_layout()\n",
    "plt.savefig('MAU.png')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "df3 = pd.read_csv('E:/DIKA/DATA PRODUKTIF DIKA/DATA SCIENCE/Rakamin/Mini project/Analyzing eCommerce Business Performance with SQL/Tugas 3/query_result.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "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>year</th>\n",
       "      <th>total_revenue</th>\n",
       "      <th>canceled_customer</th>\n",
       "      <th>top_product_category</th>\n",
       "      <th>top_product_revenue</th>\n",
       "      <th>most_canceled_product</th>\n",
       "      <th>total_canceled_orders</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2016</td>\n",
       "      <td>46654</td>\n",
       "      <td>15</td>\n",
       "      <td>furniture_decor</td>\n",
       "      <td>6899</td>\n",
       "      <td>toys</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2017</td>\n",
       "      <td>6921535</td>\n",
       "      <td>247</td>\n",
       "      <td>bed_bath_table</td>\n",
       "      <td>580949</td>\n",
       "      <td>sports_leisure</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2018</td>\n",
       "      <td>8451585</td>\n",
       "      <td>280</td>\n",
       "      <td>health_beauty</td>\n",
       "      <td>866810</td>\n",
       "      <td>health_beauty</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   year  total_revenue  canceled_customer top_product_category  \\\n",
       "0  2016          46654                 15      furniture_decor   \n",
       "1  2017        6921535                247       bed_bath_table   \n",
       "2  2018        8451585                280        health_beauty   \n",
       "\n",
       "   top_product_revenue most_canceled_product  total_canceled_orders  \n",
       "0                 6899                  toys                      3  \n",
       "1               580949        sports_leisure                     25  \n",
       "2               866810         health_beauty                     27  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(5, 5))\n",
    "plt.plot(df3.year, df3.total_revenue, color ='blue', linewidth=2.5, marker='o')\n",
    "plt.title('Total Revenue', fontsize = 14, pad=20, weight='bold')\n",
    "plt.xlabel('Year')\n",
    "plt.ylabel('Total Revenue')\n",
    "plt.xticks(range(2016, 2019))\n",
    "sns.despine()\n",
    "plt.grid(color='darkgray', linestyle=':')\n",
    "plt.tight_layout()\n",
    "plt.savefig('total_revenue.png')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(5, 5))\n",
    "plt.plot(df3.year, df3.canceled_customer, color ='red', linewidth=2.5, marker='o')\n",
    "plt.title('Canceled Customers', fontsize = 14, pad=20, weight='bold')\n",
    "plt.xlabel('Year')\n",
    "plt.ylabel('Total Customer')\n",
    "plt.xticks(range(2016, 2019))\n",
    "sns.despine()\n",
    "plt.grid(color='darkgray', linestyle=':')\n",
    "plt.tight_layout()\n",
    "plt.savefig('canceled_customer.png')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "df4 = pd.read_csv('E:/DIKA/DATA PRODUKTIF DIKA/DATA SCIENCE/Rakamin/Mini project/Analyzing eCommerce Business Performance with SQL/Tugas 4/query_result_1.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "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>payment_type</th>\n",
       "      <th>num_payments</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>credit_card</td>\n",
       "      <td>76795</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>boleto</td>\n",
       "      <td>19784</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>voucher</td>\n",
       "      <td>5775</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>debit_card</td>\n",
       "      <td>1529</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>not_defined</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  payment_type  num_payments\n",
       "0  credit_card         76795\n",
       "1       boleto         19784\n",
       "2      voucher          5775\n",
       "3   debit_card          1529\n",
       "4  not_defined             3"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 504x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = df4.payment_type.value_counts()\n",
    "plt.figure(figsize=(7,5))\n",
    "plt.title('Payment Type by Customers\\n 2016 - 2018', pad=10, weight='bold', fontsize=15)\n",
    "ax = sns.barplot(y= data.index, palette='rocket', x=df4.num_payments, orient='h')\n",
    "plt.bar_label(ax.containers[0])\n",
    "sns.despine()\n",
    "plt.tight_layout()\n",
    "plt.xlabel('Total Customer')\n",
    "plt.savefig('payment_type.png')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.10.2 64-bit",
   "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": "3.10.2"
  },
  "orig_nbformat": 4,
  "vscode": {
   "interpreter": {
    "hash": "26de051ba29f2982a8de78e945f0abaf191376122a1563185a90213a26c5da77"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}