flask_ui_skeleton.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "yB7IMqFkdCfY"
   },
   "source": [
    "# Capstone Project Flask UI"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Ggg-SYSjdCfh"
   },
   "source": [
    "Pada capstone ini anda diminta untuk membangun sebuah Flask UI sederhana yang berisi beberapa tampilan plot dari skeleton yang sudah disediakan dan satu plot tambahan berdasarkan analisis anda.\n",
    "\n",
    "File ini dapat dimanfaatkan untuk membantu anda dalam proses wrangling dan visualization. Apabila proses wrangling sudah tepat dan hasil visualisasi sudah sesuai dengan ketentuan, anda dapat memindahkan kembali kode program yang sudah anda lengkapi ke dalam file `app.py`."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "eucOg8SedCfi"
   },
   "source": [
    "## Data Preprocessing"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "GYzswCS3dCfj"
   },
   "source": [
    "**Import library**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-02T09:56:05.789070Z",
     "start_time": "2021-02-02T09:56:03.554294Z"
    },
    "id": "EXf0KaswdCfk"
   },
   "outputs": [],
   "source": [
    "from flask import Flask, render_template\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from io import BytesIO\n",
    "import base64"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "EX4CmTwAdCfm"
   },
   "source": [
    "**Load data**\n",
    "\n",
    "Bacalah file `googleplaystore.csv` data dan simpan ke objek dataframe dengan nama playstore"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "id": "FydJ0S8bdsAo"
   },
   "outputs": [],
   "source": [
    "app = Flask(__name__)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-02T09:59:28.086254Z",
     "start_time": "2021-02-02T09:59:28.032673Z"
    },
    "id": "6OTF8VD1dCfn"
   },
   "outputs": [],
   "source": [
    "playstore = pd.read_csv('data/googleplaystore.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
    "id": "EJuB6QNueE3U",
    "outputId": "4b998da1-f47a-468a-d282-324ee34d230a"
   },
   "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>App</th>\n",
       "      <th>Category</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Reviews</th>\n",
       "      <th>Size</th>\n",
       "      <th>Installs</th>\n",
       "      <th>Type</th>\n",
       "      <th>Price</th>\n",
       "      <th>Content Rating</th>\n",
       "      <th>Genres</th>\n",
       "      <th>Last Updated</th>\n",
       "      <th>Current Ver</th>\n",
       "      <th>Android Ver</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Photo Editor &amp; Candy Camera &amp; Grid &amp; ScrapBook</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.1</td>\n",
       "      <td>159</td>\n",
       "      <td>19M</td>\n",
       "      <td>10,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>January 7, 2018</td>\n",
       "      <td>1.0.0</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Coloring book moana</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>3.9</td>\n",
       "      <td>967</td>\n",
       "      <td>14M</td>\n",
       "      <td>500,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design;Pretend Play</td>\n",
       "      <td>January 15, 2018</td>\n",
       "      <td>2.0.0</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>U Launcher Lite – FREE Live Cool Themes, Hide ...</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.7</td>\n",
       "      <td>87510</td>\n",
       "      <td>8.7M</td>\n",
       "      <td>5,000,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>August 1, 2018</td>\n",
       "      <td>1.2.4</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Sketch - Draw &amp; Paint</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.5</td>\n",
       "      <td>215644</td>\n",
       "      <td>25M</td>\n",
       "      <td>50,000,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Teen</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>June 8, 2018</td>\n",
       "      <td>Varies with device</td>\n",
       "      <td>4.2 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Pixel Draw - Number Art Coloring Book</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.3</td>\n",
       "      <td>967</td>\n",
       "      <td>2.8M</td>\n",
       "      <td>100,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design;Creativity</td>\n",
       "      <td>June 20, 2018</td>\n",
       "      <td>1.1</td>\n",
       "      <td>4.4 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10836</th>\n",
       "      <td>Sya9a Maroc - FR</td>\n",
       "      <td>FAMILY</td>\n",
       "      <td>4.5</td>\n",
       "      <td>38</td>\n",
       "      <td>53M</td>\n",
       "      <td>5,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Education</td>\n",
       "      <td>July 25, 2017</td>\n",
       "      <td>1.48</td>\n",
       "      <td>4.1 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10837</th>\n",
       "      <td>Fr. Mike Schmitz Audio Teachings</td>\n",
       "      <td>FAMILY</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4</td>\n",
       "      <td>3.6M</td>\n",
       "      <td>100+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Education</td>\n",
       "      <td>July 6, 2018</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.1 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10838</th>\n",
       "      <td>Parkinson Exercices FR</td>\n",
       "      <td>MEDICAL</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>9.5M</td>\n",
       "      <td>1,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Medical</td>\n",
       "      <td>January 20, 2017</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.2 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10839</th>\n",
       "      <td>The SCP Foundation DB fr nn5n</td>\n",
       "      <td>BOOKS_AND_REFERENCE</td>\n",
       "      <td>4.5</td>\n",
       "      <td>114</td>\n",
       "      <td>Varies with device</td>\n",
       "      <td>1,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Mature 17+</td>\n",
       "      <td>Books &amp; Reference</td>\n",
       "      <td>January 19, 2015</td>\n",
       "      <td>Varies with device</td>\n",
       "      <td>Varies with device</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10840</th>\n",
       "      <td>iHoroscope - 2018 Daily Horoscope &amp; Astrology</td>\n",
       "      <td>LIFESTYLE</td>\n",
       "      <td>4.5</td>\n",
       "      <td>398307</td>\n",
       "      <td>19M</td>\n",
       "      <td>10,000,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Lifestyle</td>\n",
       "      <td>July 25, 2018</td>\n",
       "      <td>Varies with device</td>\n",
       "      <td>Varies with device</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10841 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                     App             Category  \\\n",
       "0         Photo Editor & Candy Camera & Grid & ScrapBook       ART_AND_DESIGN   \n",
       "1                                    Coloring book moana       ART_AND_DESIGN   \n",
       "2      U Launcher Lite – FREE Live Cool Themes, Hide ...       ART_AND_DESIGN   \n",
       "3                                  Sketch - Draw & Paint       ART_AND_DESIGN   \n",
       "4                  Pixel Draw - Number Art Coloring Book       ART_AND_DESIGN   \n",
       "...                                                  ...                  ...   \n",
       "10836                                   Sya9a Maroc - FR               FAMILY   \n",
       "10837                   Fr. Mike Schmitz Audio Teachings               FAMILY   \n",
       "10838                             Parkinson Exercices FR              MEDICAL   \n",
       "10839                      The SCP Foundation DB fr nn5n  BOOKS_AND_REFERENCE   \n",
       "10840      iHoroscope - 2018 Daily Horoscope & Astrology            LIFESTYLE   \n",
       "\n",
       "       Rating Reviews                Size     Installs  Type Price  \\\n",
       "0         4.1     159                 19M      10,000+  Free     0   \n",
       "1         3.9     967                 14M     500,000+  Free     0   \n",
       "2         4.7   87510                8.7M   5,000,000+  Free     0   \n",
       "3         4.5  215644                 25M  50,000,000+  Free     0   \n",
       "4         4.3     967                2.8M     100,000+  Free     0   \n",
       "...       ...     ...                 ...          ...   ...   ...   \n",
       "10836     4.5      38                 53M       5,000+  Free     0   \n",
       "10837     5.0       4                3.6M         100+  Free     0   \n",
       "10838     NaN       3                9.5M       1,000+  Free     0   \n",
       "10839     4.5     114  Varies with device       1,000+  Free     0   \n",
       "10840     4.5  398307                 19M  10,000,000+  Free     0   \n",
       "\n",
       "      Content Rating                     Genres      Last Updated  \\\n",
       "0           Everyone               Art & Design   January 7, 2018   \n",
       "1           Everyone  Art & Design;Pretend Play  January 15, 2018   \n",
       "2           Everyone               Art & Design    August 1, 2018   \n",
       "3               Teen               Art & Design      June 8, 2018   \n",
       "4           Everyone    Art & Design;Creativity     June 20, 2018   \n",
       "...              ...                        ...               ...   \n",
       "10836       Everyone                  Education     July 25, 2017   \n",
       "10837       Everyone                  Education      July 6, 2018   \n",
       "10838       Everyone                    Medical  January 20, 2017   \n",
       "10839     Mature 17+          Books & Reference  January 19, 2015   \n",
       "10840       Everyone                  Lifestyle     July 25, 2018   \n",
       "\n",
       "              Current Ver         Android Ver  \n",
       "0                   1.0.0        4.0.3 and up  \n",
       "1                   2.0.0        4.0.3 and up  \n",
       "2                   1.2.4        4.0.3 and up  \n",
       "3      Varies with device          4.2 and up  \n",
       "4                     1.1          4.4 and up  \n",
       "...                   ...                 ...  \n",
       "10836                1.48          4.1 and up  \n",
       "10837                 1.0          4.1 and up  \n",
       "10838                 1.0          2.2 and up  \n",
       "10839  Varies with device  Varies with device  \n",
       "10840  Varies with device  Varies with device  \n",
       "\n",
       "[10841 rows x 13 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "playstore"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "wn2gDKU6dCfp"
   },
   "source": [
    "**Data Cleansing** "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Px6cfPRDdCfq"
   },
   "source": [
    "**_Task 1:_** Hapus data yang duplikat berdasarkan kolom App, dengan tetap keep data pertama (hint : gunakan parameter subset)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-02T10:00:43.408513Z",
     "start_time": "2021-02-02T10:00:43.384541Z"
    },
    "id": "8pv-UXY0dCfr"
   },
   "outputs": [],
   "source": [
    "playstore.drop_duplicates(subset = 'App', keep='first', inplace=True) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "IPZtoZD-dCfs"
   },
   "source": [
    "Bagian ini untuk menghapus row 10472 karena nilai data tersebut tidak tersimpan pada kolom yang benar"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-02T10:01:18.760162Z",
     "start_time": "2021-02-02T10:01:18.747974Z"
    },
    "id": "Lx1_nHmtdCft"
   },
   "outputs": [],
   "source": [
    "playstore.drop([10472], inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Fgnn2fVfdCfx"
   },
   "source": [
    "**_Task 2:_** Cek tipe data kolom Category. Jika masih tersimpan dengan format tipe data yang salah, ubah ke tipe data yang sesuai\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "KFfl-HX4eiob",
    "outputId": "d38beac7-870c-4b7c-f48c-bffe11c23cc9"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 9659 entries, 0 to 10840\n",
      "Data columns (total 13 columns):\n",
      " #   Column          Non-Null Count  Dtype  \n",
      "---  ------          --------------  -----  \n",
      " 0   App             9659 non-null   object \n",
      " 1   Category        9659 non-null   object \n",
      " 2   Rating          8196 non-null   float64\n",
      " 3   Reviews         9659 non-null   object \n",
      " 4   Size            9659 non-null   object \n",
      " 5   Installs        9659 non-null   object \n",
      " 6   Type            9658 non-null   object \n",
      " 7   Price           9659 non-null   object \n",
      " 8   Content Rating  9659 non-null   object \n",
      " 9   Genres          9659 non-null   object \n",
      " 10  Last Updated    9659 non-null   object \n",
      " 11  Current Ver     9651 non-null   object \n",
      " 12  Android Ver     9657 non-null   object \n",
      "dtypes: float64(1), object(12)\n",
      "memory usage: 1.0+ MB\n"
     ]
    }
   ],
   "source": [
    "playstore.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "6Sakj1U0eq6T",
    "outputId": "a1221ca0-1c90-4724-c8ad-c9dcf1a10b4e"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "App               9659\n",
       "Category            33\n",
       "Rating              39\n",
       "Reviews           5330\n",
       "Size               461\n",
       "Installs            21\n",
       "Type                 2\n",
       "Price               92\n",
       "Content Rating       6\n",
       "Genres             118\n",
       "Last Updated      1377\n",
       "Current Ver       2817\n",
       "Android Ver         33\n",
       "dtype: int64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "playstore.nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-02T10:03:32.164554Z",
     "start_time": "2021-02-02T10:03:32.153250Z"
    },
    "id": "TdNkb6ZGdCfy"
   },
   "outputs": [],
   "source": [
    "playstore.Category = playstore.Category.astype('category')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "nJ0XUZ4QdCfz"
   },
   "source": [
    "**_Task 3:_** Pada kolom Installs Buang tanda koma(,) dan tanda tambah(+) kemudian ubah tipe data menjadi integer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-02T10:16:20.985521Z",
     "start_time": "2021-02-02T10:16:20.969640Z"
    },
    "id": "w3oIgmCVdCfz"
   },
   "outputs": [],
   "source": [
    "playstore.Installs = playstore.Installs.apply(lambda x: x.replace(',', ''))\n",
    "playstore.Installs = playstore.Installs.apply(lambda x: x.replace('+', ''))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "UR98JE3edCf0"
   },
   "source": [
    "Bagian ini untuk merapikan kolom Size, Anda tidak perlu mengubah apapun di bagian ini"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-02T10:17:51.003771Z",
     "start_time": "2021-02-02T10:17:50.934201Z"
    },
    "id": "8quG0PFmdCf0"
   },
   "outputs": [],
   "source": [
    "playstore['Size'].replace('Varies with device', np.nan, inplace = True ) \n",
    "playstore.Size = (playstore.Size.replace(r'[kM]+$', '', regex=True).astype(float) * \\\n",
    "             playstore.Size.str.extract(r'[\\d\\.]+([kM]+)', expand=False)\n",
    "            .fillna(1)\n",
    "            .replace(['k','M'], [10**3, 10**6]).astype(int))\n",
    "playstore['Size'].fillna(playstore.groupby('Category')['Size'].transform('mean'),inplace = True)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "cV9Azh3CdCf1"
   },
   "source": [
    "**_Task 4:_** Pada kolom Price, buang karakater $ pada nilai Price lalu ubah tipe datanya menjadi float"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-02T10:17:51.850791Z",
     "start_time": "2021-02-02T10:17:51.831652Z"
    },
    "id": "UTFFu2yodCf2"
   },
   "outputs": [],
   "source": [
    "playstore.Price = playstore.Price.apply(lambda x: x.replace('$',''))\n",
    "playstore.Price = playstore.Price.astype('float64')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "Tj86UOCd0wpb",
    "outputId": "b758213f-0fb7-400d-9769-08b044e0bc66"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "App                 object\n",
       "Category          category\n",
       "Rating             float64\n",
       "Reviews             object\n",
       "Size               float64\n",
       "Installs            object\n",
       "Type                object\n",
       "Price              float64\n",
       "Content Rating      object\n",
       "Genres              object\n",
       "Last Updated        object\n",
       "Current Ver         object\n",
       "Android Ver         object\n",
       "dtype: object"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "playstore.dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "bpTlXxRtdCf2"
   },
   "source": [
    "Ubah tipe data Reviews, Size, Installs ke dalam tipe data integer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-02T10:17:53.379441Z",
     "start_time": "2021-02-02T10:17:53.359741Z"
    },
    "id": "naQX63nadCf3"
   },
   "outputs": [],
   "source": [
    "##code here\n",
    "playstore[['Reviews', 'Size', 'Installs']]=playstore[['Reviews', 'Size', 'Installs']].astype('int64')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "VjsBNx7ZdCf3"
   },
   "source": [
    "## Data Wrangling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-02T10:18:50.436751Z",
     "start_time": "2021-02-02T10:18:50.425327Z"
    },
    "id": "4nN8Oi16dCf4"
   },
   "outputs": [],
   "source": [
    "df2 = playstore.copy()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "z2z9SBrudCf4"
   },
   "source": [
    "**_Task 5:_** Dataframe top_category dibuat untuk menyimpan frekuensi aplikasi untuk setiap Category. \n",
    "Gunakan crosstab untuk menghitung frekuensi aplikasi di setiap category kemudian gunakan `Jumlah`\n",
    "sebagai nama kolom dan urutkan nilai frekuensi dari nilai yang paling banyak. Terakhir reset index dari dataframe top_category."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-02T10:22:20.387102Z",
     "start_time": "2021-02-02T10:22:20.334148Z"
    },
    "id": "AQols_bodCf5"
   },
   "outputs": [],
   "source": [
    "top_category = pd.crosstab(\n",
    "            index = df2['Category'],\n",
    "            columns = 'Jumlah',\n",
    "            values = df2['Category'],\n",
    "            aggfunc = 'count'\n",
    ").sort_values(by='Jumlah', ascending=False).reset_index()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-02T10:24:18.993255Z",
     "start_time": "2021-02-02T10:24:18.969721Z"
    },
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 206
    },
    "id": "9PB1hO8mdCf5",
    "outputId": "0dab0791-91f7-4a58-8087-1953b8bdbefd"
   },
   "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>col_0</th>\n",
       "      <th>Category</th>\n",
       "      <th>Jumlah</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>FAMILY</td>\n",
       "      <td>1832</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>GAME</td>\n",
       "      <td>959</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>TOOLS</td>\n",
       "      <td>827</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>BUSINESS</td>\n",
       "      <td>420</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>MEDICAL</td>\n",
       "      <td>395</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "col_0  Category  Jumlah\n",
       "0        FAMILY    1832\n",
       "1          GAME     959\n",
       "2         TOOLS     827\n",
       "3      BUSINESS     420\n",
       "4       MEDICAL     395"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top_category.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "TXRmG2XOdCf8"
   },
   "source": [
    "**_Task 6:_** Ini adalah bagian untuk melengkapi konten value box \n",
    "most category mengambil nama category paling banyak mengacu pada dataframe `top_category`\n",
    "total mengambil frekuensi/jumlah category paling banyak mengacu pada dataframe `top_category`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-02T10:25:55.268573Z",
     "start_time": "2021-02-02T10:25:55.257944Z"
    },
    "id": "P5xZbT1idCf9"
   },
   "outputs": [],
   "source": [
    "most_categories = top_category.loc[0,'Category']\n",
    "total = top_category.loc[0,'Jumlah']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "ChDNEUtQdCf9"
   },
   "source": [
    "`rev_table` adalah tabel yang berisi 10 aplikasi yang paling banyak direview oleh pengguna.\n",
    "Silahkan melakukan agregasi data yang tepat menggunakan `groupby` untuk menampilkan 10 aplikasi yang diurutkan berdasarkan jumlah Review pengguna. \n",
    "\n",
    "Tabel yang ditampilkan terdiri dari 4 kolom yaitu nama Category, nama App, total Reviews, dan rata-rata Rating.\n",
    "Pindahkan kode wrangling yang disimpan dalam variable `rev_table` pada `blank code` yang telah di chaining dengan kode `.to_html`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-02T10:32:27.727779Z",
     "start_time": "2021-02-02T10:32:24.299980Z"
    },
    "id": "jcyrglDndCf9"
   },
   "outputs": [],
   "source": [
    "rev_table = df2.groupby(by=['Category', 'App']).agg({'Reviews' : 'sum', 'Rating' : 'mean'}).sort_values(by='Reviews', ascending=False).reset_index().head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "7Akzq3UJdCf-"
   },
   "source": [
    "Apabila menuliskan kode program yang tepat maka hasil wrangling adalah sebagai berikut :"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-02T10:32:37.483995Z",
     "start_time": "2021-02-02T10:32:37.467075Z"
    },
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 363
    },
    "id": "dSinLPOodCf-",
    "outputId": "f4fdabdf-73ee-4ba0-ca8b-dde700c886b6"
   },
   "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>Category</th>\n",
       "      <th>App</th>\n",
       "      <th>Reviews</th>\n",
       "      <th>Rating</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>SOCIAL</td>\n",
       "      <td>Facebook</td>\n",
       "      <td>78158306</td>\n",
       "      <td>4.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>COMMUNICATION</td>\n",
       "      <td>WhatsApp Messenger</td>\n",
       "      <td>69119316</td>\n",
       "      <td>4.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>SOCIAL</td>\n",
       "      <td>Instagram</td>\n",
       "      <td>66577313</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>COMMUNICATION</td>\n",
       "      <td>Messenger – Text and Video Chat for Free</td>\n",
       "      <td>56642847</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>GAME</td>\n",
       "      <td>Clash of Clans</td>\n",
       "      <td>44891723</td>\n",
       "      <td>4.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>TOOLS</td>\n",
       "      <td>Clean Master- Space Cleaner &amp; Antivirus</td>\n",
       "      <td>42916526</td>\n",
       "      <td>4.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>GAME</td>\n",
       "      <td>Subway Surfers</td>\n",
       "      <td>27722264</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>VIDEO_PLAYERS</td>\n",
       "      <td>YouTube</td>\n",
       "      <td>25655305</td>\n",
       "      <td>4.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>TOOLS</td>\n",
       "      <td>Security Master - Antivirus, VPN, AppLock, Boo...</td>\n",
       "      <td>24900999</td>\n",
       "      <td>4.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>GAME</td>\n",
       "      <td>Clash Royale</td>\n",
       "      <td>23133508</td>\n",
       "      <td>4.6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Category                                                App   Reviews  \\\n",
       "0         SOCIAL                                           Facebook  78158306   \n",
       "1  COMMUNICATION                                 WhatsApp Messenger  69119316   \n",
       "2         SOCIAL                                          Instagram  66577313   \n",
       "3  COMMUNICATION           Messenger – Text and Video Chat for Free  56642847   \n",
       "4           GAME                                     Clash of Clans  44891723   \n",
       "5          TOOLS            Clean Master- Space Cleaner & Antivirus  42916526   \n",
       "6           GAME                                     Subway Surfers  27722264   \n",
       "7  VIDEO_PLAYERS                                            YouTube  25655305   \n",
       "8          TOOLS  Security Master - Antivirus, VPN, AppLock, Boo...  24900999   \n",
       "9           GAME                                       Clash Royale  23133508   \n",
       "\n",
       "   Rating  \n",
       "0     4.1  \n",
       "1     4.4  \n",
       "2     4.5  \n",
       "3     4.0  \n",
       "4     4.6  \n",
       "5     4.7  \n",
       "6     4.5  \n",
       "7     4.3  \n",
       "8     4.7  \n",
       "9     4.6  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rev_table"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "8corVSeidCf_"
   },
   "source": [
    "## Data Visualization"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "-n2EGLWydCf_"
   },
   "source": [
    "**Membuat Bar Plot**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "ZbCRXAFjdCf_"
   },
   "source": [
    "**_Task 7:_** \n",
    "Lengkapi tahap agregasi untuk membuat dataframe yang mengelompokkan aplikasi berdasarkan Category.\n",
    "Buatlah bar plot dimana axis x adalah nama Category dan axis y adalah jumlah aplikasi pada setiap kategori, kemudian urutkan dari jumlah terbanyak"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 485
    },
    "id": "4QTGG2DkGR_7",
    "outputId": "5b2b93f6-1672-484b-efb4-85db66b42c7e"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Lenovo\\AppData\\Local\\Temp\\ipykernel_7464\\1638686849.py:11: MatplotlibDeprecationWarning: Using a string of single character colors as a color sequence is deprecated since 3.2 and will be removed two minor releases later. Use an explicit list instead.\n",
      "  plt.barh(X, Y, color=my_colors)\n"
     ]
    },
    {
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",
      "text/plain": [
       "<Figure size 2400x900 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "cat_order = df2.groupby('Category').agg({\n",
    "'Category' : 'count'\n",
    " }).rename({'Category':'Total'}, axis=1).sort_values(by='Total', ascending=False).head()\n",
    "X = cat_order.index\n",
    "Y = cat_order['Total']\n",
    "my_colors = 'rgbkymc'\n",
    "# bagian ini digunakan untuk membuat kanvas/figure\n",
    "fig = plt.figure(figsize=(8,3),dpi=300)\n",
    "fig.add_subplot()\n",
    "# bagian ini digunakan untuk membuat bar plot\n",
    "plt.barh(X, Y, color=my_colors)\n",
    "# bagian ini digunakan untuk menyimpan plot dalam format image.png\n",
    "plt.savefig('cat_order.png',bbox_inches=\"tight\") "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "PsLZnTxAdCgB"
   },
   "source": [
    "**Membuat Scatter Plot**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "yybJkezNdCgB"
   },
   "source": [
    "**_Task 8:_** Buatlah scatter plot untuk menampilkan hubungan dan persebaran apalikasi dilihat dari Review vs Rating.\n",
    "Ukuran scatter menggambarkan berapa banyak pengguna yang telah menginstall aplikasi \n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 334
    },
    "id": "s_45wV_5IVfR",
    "outputId": "b65d2414-16b5-458c-a761-fb36408ffa30"
   },
   "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": [
    "X = df2['Reviews'].values # axis x\n",
    "Y = df2['Rating'].values # axis y\n",
    "area = playstore['Installs'].values/10000000 # ukuran besar/kecilnya lingkaran scatter plot\n",
    "fig = plt.figure(figsize=(5,5))\n",
    "fig.add_subplot()\n",
    "# isi nama method untuk scatter plot, variabel x, dan variabel y\n",
    "plt.scatter(x=X,y=Y, s=area, alpha=0.3)\n",
    "plt.xlabel('Reviews')\n",
    "plt.ylabel('Rating')\n",
    "plt.savefig('rev_rat.png',bbox_inches=\"tight\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "HbCXuXBKdCgC"
   },
   "source": [
    "**Membuat Histogram Size Distribution**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "1JCi3jZvdCgC"
   },
   "source": [
    "**_Task 9:_** Buatlah sebuah histogram yang menggambarkan distribusi Size aplikasi dalam satuan Mb(Megabytes). Histogram yang terbentuk terbagi menjadi 100 bins"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 334
    },
    "id": "oj753vU-PZy4",
    "outputId": "95ac8171-72b9-46ad-834c-1e8328d85a2f"
   },
   "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": [
    "X=(df2['Size']/1000000).values\n",
    "fig = plt.figure(figsize=(5,5))\n",
    "fig.add_subplot()\n",
    "plt.hist(X,bins=100, density=True,  alpha=0.75)\n",
    "plt.xlabel('Size')\n",
    "plt.ylabel('Frequency')\n",
    "plt.savefig('hist_size.png',bbox_inches=\"tight\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "FW5AZ-bedCgD"
   },
   "source": [
    "**_Task 10:_** Buatlah plot berdasarkan hasil analisis anda. Plot yang dibuat tidak diperbolehkan sama dengan plot yang sudah dicontohkan."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Membuat Histogram dari data category FAMILY**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-02T10:47:53.948656Z",
     "start_time": "2021-02-02T10:47:53.936544Z"
    },
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 705
    },
    "id": "oxy2HeDcdCgD",
    "outputId": "b999ed15-9928-4737-9d0c-888edbce0326"
   },
   "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": [
    "## code here\n",
    "X = df2[df2.Category == 'FAMILY']['Rating']\n",
    "fig = plt.figure(figsize=(5,5))\n",
    "fig.add_subplot()\n",
    "plt.hist(X)\n",
    "plt.xlabel('FAMILY')\n",
    "plt.ylabel('Rating')\n",
    "plt.savefig('histogram.png',bbox_inches=\"tight\")\n",
    "\n"
   ]
  }
 ],
 "metadata": {
  "colab": {
   "name": "flask-ui-skeleton.ipynb",
   "provenance": []
  },
  "kernelspec": {
   "display_name": "capstone-flask",
   "language": "python",
   "name": "capstone-flask"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.13"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}