FP Statprob.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Explanatory Data Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b2a431ec",
   "metadata": {},
   "source": [
    "EDA ini dibentuk sebagai tugas akhir Mata Kuliah Statistika dan Probabilitas pada Departemen Teknologi Informasi Institut Teknologi Sepuluh Nopember\n",
    "\n",
    "## Dataset\n",
    "\n",
    "Dataset yang digunakan adalah dataset asli open-source yang disediakan oleh Kaggle, dengan deskripsi sebagai berikut:\n",
    "\n",
    "* **Nama Dataset:** Popular Video Games 1980 - 2023 🎮\n",
    "\n",
    "* **Deskripsi:** Details about the top rated video games 1980 - 2023.\n",
    "This dataset contains a list of video games dating from 1980 to 2023, it also provides things such as release dates, user review rating, and critic review rating.\n",
    "\n",
    "* **Daftar Atribut**\n",
    "\n",
    "| Atribut | Deskripsi|\n",
    "| :-: | :-: |\n",
    "| Title | Title of the Game |\n",
    "| Release Date | Date of release of the game's first version |\n",
    "| Team | Game developer team |\n",
    "| Rating | Average rating |\n",
    "| Times Listed | Number of users who listed this game |\n",
    "| Number of Reviews | Number of reviews received from the users |\n",
    "| Genres | All genres pertaining to a specified game |\n",
    "| Summary | Summary provided by the team |\n",
    "| Reviews | User reviews |\n",
    "| Plays | Number of users that have played the game before |\n",
    "| Playing | Number of current users who are playing the game |\n",
    "| Backlogs | Number of users who have access but haven't started with the game yet |\n",
    "| Wishlist | Number of users who wish to play the game |\n",
    "\n",
    "* **Jumlah Kolom:** 14\n",
    "\n",
    "* **Jumlah Baris:** 1512\n",
    "\n",
    "* **Sumber Dataset:** https://www.kaggle.com/datasets/arnabchaki/popular-video-games-1980-2023/\n",
    "\n",
    "## Tujuan Analisis\n",
    "\n",
    "Mencari atribut atau variabel apa saja yang mempengaruhi jumlah banyak pengguna yang memainkan suatu video game yang dirilis mulai dari 1980 hingga 2023 (per 23 Maret 2023)\n",
    "\n",
    "## 1. Pemahaman terhadap Dataset\n",
    "\n",
    "### a. Memuat Dataset\n",
    "\n",
    "Dataset berbentuk CSV, yang kemudian diimport menggunakan library Pandas dengan bahasa pemrograman Python."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "33bb3e11",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "games_data=pd.read_csv('D:/!Kuliah/!class/SMT 1/!Static/FP Statprob/games.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### b. Menampilkan Dataset\n",
    "\n",
    "Melihat beberapa baris data untuk memahami struktur dan formatnya secara sekilas."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "6256d7bf",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>Title</th>\n",
       "      <th>Release Date</th>\n",
       "      <th>Team</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Times Listed</th>\n",
       "      <th>Number of Reviews</th>\n",
       "      <th>Genres</th>\n",
       "      <th>Summary</th>\n",
       "      <th>Reviews</th>\n",
       "      <th>Plays</th>\n",
       "      <th>Playing</th>\n",
       "      <th>Backlogs</th>\n",
       "      <th>Wishlist</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>Elden Ring</td>\n",
       "      <td>Feb 25, 2022</td>\n",
       "      <td>['Bandai Namco Entertainment', 'FromSoftware']</td>\n",
       "      <td>4.5</td>\n",
       "      <td>3.9K</td>\n",
       "      <td>3.9K</td>\n",
       "      <td>['Adventure', 'RPG']</td>\n",
       "      <td>Elden Ring is a fantasy, action and open world...</td>\n",
       "      <td>[\"The first playthrough of elden ring is one o...</td>\n",
       "      <td>17K</td>\n",
       "      <td>3.8K</td>\n",
       "      <td>4.6K</td>\n",
       "      <td>4.8K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>Hades</td>\n",
       "      <td>Dec 10, 2019</td>\n",
       "      <td>['Supergiant Games']</td>\n",
       "      <td>4.3</td>\n",
       "      <td>2.9K</td>\n",
       "      <td>2.9K</td>\n",
       "      <td>['Adventure', 'Brawler', 'Indie', 'RPG']</td>\n",
       "      <td>A rogue-lite hack and slash dungeon crawler in...</td>\n",
       "      <td>['convinced this is a roguelike for people who...</td>\n",
       "      <td>21K</td>\n",
       "      <td>3.2K</td>\n",
       "      <td>6.3K</td>\n",
       "      <td>3.6K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>The Legend of Zelda: Breath of the Wild</td>\n",
       "      <td>Mar 03, 2017</td>\n",
       "      <td>['Nintendo', 'Nintendo EPD Production Group No...</td>\n",
       "      <td>4.4</td>\n",
       "      <td>4.3K</td>\n",
       "      <td>4.3K</td>\n",
       "      <td>['Adventure', 'RPG']</td>\n",
       "      <td>The Legend of Zelda: Breath of the Wild is the...</td>\n",
       "      <td>['This game is the game (that is not CS:GO) th...</td>\n",
       "      <td>30K</td>\n",
       "      <td>2.5K</td>\n",
       "      <td>5K</td>\n",
       "      <td>2.6K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>Undertale</td>\n",
       "      <td>Sep 15, 2015</td>\n",
       "      <td>['tobyfox', '8-4']</td>\n",
       "      <td>4.2</td>\n",
       "      <td>3.5K</td>\n",
       "      <td>3.5K</td>\n",
       "      <td>['Adventure', 'Indie', 'RPG', 'Turn Based Stra...</td>\n",
       "      <td>A small child falls into the Underground, wher...</td>\n",
       "      <td>['soundtrack is tied for #1 with nier automata...</td>\n",
       "      <td>28K</td>\n",
       "      <td>679</td>\n",
       "      <td>4.9K</td>\n",
       "      <td>1.8K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>Hollow Knight</td>\n",
       "      <td>Feb 24, 2017</td>\n",
       "      <td>['Team Cherry']</td>\n",
       "      <td>4.4</td>\n",
       "      <td>3K</td>\n",
       "      <td>3K</td>\n",
       "      <td>['Adventure', 'Indie', 'Platform']</td>\n",
       "      <td>A 2D metroidvania with an emphasis on close co...</td>\n",
       "      <td>[\"this games worldbuilding is incredible, with...</td>\n",
       "      <td>21K</td>\n",
       "      <td>2.4K</td>\n",
       "      <td>8.3K</td>\n",
       "      <td>2.3K</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",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1507</th>\n",
       "      <td>1507</td>\n",
       "      <td>Back to the Future: The Game</td>\n",
       "      <td>Dec 22, 2010</td>\n",
       "      <td>['Telltale Games']</td>\n",
       "      <td>3.2</td>\n",
       "      <td>94</td>\n",
       "      <td>94</td>\n",
       "      <td>['Adventure', 'Point-and-Click']</td>\n",
       "      <td>Back to the Future: The Game is one of Telltal...</td>\n",
       "      <td>['Very enjoyable game. The story adds onto the...</td>\n",
       "      <td>763</td>\n",
       "      <td>5</td>\n",
       "      <td>223</td>\n",
       "      <td>67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1508</th>\n",
       "      <td>1508</td>\n",
       "      <td>Team Sonic Racing</td>\n",
       "      <td>May 21, 2019</td>\n",
       "      <td>['Sumo Digital', 'Sega']</td>\n",
       "      <td>2.9</td>\n",
       "      <td>264</td>\n",
       "      <td>264</td>\n",
       "      <td>['Arcade', 'Racing']</td>\n",
       "      <td>Team Sonic Racing combines the best elements o...</td>\n",
       "      <td>['jogo morto mas bom', 'not my cup of tea', \"C...</td>\n",
       "      <td>1.5K</td>\n",
       "      <td>49</td>\n",
       "      <td>413</td>\n",
       "      <td>107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1509</th>\n",
       "      <td>1509</td>\n",
       "      <td>Dragon's Dogma</td>\n",
       "      <td>May 22, 2012</td>\n",
       "      <td>['Capcom']</td>\n",
       "      <td>3.7</td>\n",
       "      <td>210</td>\n",
       "      <td>210</td>\n",
       "      <td>['Brawler', 'RPG']</td>\n",
       "      <td>Set in a huge open world, Dragon’s Dogma: Dark...</td>\n",
       "      <td>['Underrated.', 'A grandes rasgos, es como un ...</td>\n",
       "      <td>1.1K</td>\n",
       "      <td>45</td>\n",
       "      <td>487</td>\n",
       "      <td>206</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1510</th>\n",
       "      <td>1510</td>\n",
       "      <td>Baldur's Gate 3</td>\n",
       "      <td>Oct 06, 2020</td>\n",
       "      <td>['Larian Studios']</td>\n",
       "      <td>4.1</td>\n",
       "      <td>165</td>\n",
       "      <td>165</td>\n",
       "      <td>['Adventure', 'RPG', 'Strategy', 'Tactical', '...</td>\n",
       "      <td>An ancient evil has returned to Baldur's Gate,...</td>\n",
       "      <td>['Bu türe bu oyunla girmeye çalışmak hataydı s...</td>\n",
       "      <td>269</td>\n",
       "      <td>79</td>\n",
       "      <td>388</td>\n",
       "      <td>602</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1511</th>\n",
       "      <td>1511</td>\n",
       "      <td>The LEGO Movie Videogame</td>\n",
       "      <td>Feb 04, 2014</td>\n",
       "      <td>['WB Games', 'TT Fusion']</td>\n",
       "      <td>2.8</td>\n",
       "      <td>184</td>\n",
       "      <td>184</td>\n",
       "      <td>['Adventure', 'Puzzle']</td>\n",
       "      <td>Join Emmet and an unlikely group of resistance...</td>\n",
       "      <td>['Legal', 'Pretty Average Lego Game But It Was...</td>\n",
       "      <td>1.7K</td>\n",
       "      <td>11</td>\n",
       "      <td>239</td>\n",
       "      <td>73</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1512 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Unnamed: 0                                    Title  Release Date  \\\n",
       "0              0                               Elden Ring  Feb 25, 2022   \n",
       "1              1                                    Hades  Dec 10, 2019   \n",
       "2              2  The Legend of Zelda: Breath of the Wild  Mar 03, 2017   \n",
       "3              3                                Undertale  Sep 15, 2015   \n",
       "4              4                            Hollow Knight  Feb 24, 2017   \n",
       "...          ...                                      ...           ...   \n",
       "1507        1507             Back to the Future: The Game  Dec 22, 2010   \n",
       "1508        1508                        Team Sonic Racing  May 21, 2019   \n",
       "1509        1509                           Dragon's Dogma  May 22, 2012   \n",
       "1510        1510                          Baldur's Gate 3  Oct 06, 2020   \n",
       "1511        1511                 The LEGO Movie Videogame  Feb 04, 2014   \n",
       "\n",
       "                                                   Team  Rating Times Listed  \\\n",
       "0        ['Bandai Namco Entertainment', 'FromSoftware']     4.5         3.9K   \n",
       "1                                  ['Supergiant Games']     4.3         2.9K   \n",
       "2     ['Nintendo', 'Nintendo EPD Production Group No...     4.4         4.3K   \n",
       "3                                    ['tobyfox', '8-4']     4.2         3.5K   \n",
       "4                                       ['Team Cherry']     4.4           3K   \n",
       "...                                                 ...     ...          ...   \n",
       "1507                                 ['Telltale Games']     3.2           94   \n",
       "1508                           ['Sumo Digital', 'Sega']     2.9          264   \n",
       "1509                                         ['Capcom']     3.7          210   \n",
       "1510                                 ['Larian Studios']     4.1          165   \n",
       "1511                          ['WB Games', 'TT Fusion']     2.8          184   \n",
       "\n",
       "     Number of Reviews                                             Genres  \\\n",
       "0                 3.9K                               ['Adventure', 'RPG']   \n",
       "1                 2.9K           ['Adventure', 'Brawler', 'Indie', 'RPG']   \n",
       "2                 4.3K                               ['Adventure', 'RPG']   \n",
       "3                 3.5K  ['Adventure', 'Indie', 'RPG', 'Turn Based Stra...   \n",
       "4                   3K                 ['Adventure', 'Indie', 'Platform']   \n",
       "...                ...                                                ...   \n",
       "1507                94                   ['Adventure', 'Point-and-Click']   \n",
       "1508               264                               ['Arcade', 'Racing']   \n",
       "1509               210                                 ['Brawler', 'RPG']   \n",
       "1510               165  ['Adventure', 'RPG', 'Strategy', 'Tactical', '...   \n",
       "1511               184                            ['Adventure', 'Puzzle']   \n",
       "\n",
       "                                                Summary  \\\n",
       "0     Elden Ring is a fantasy, action and open world...   \n",
       "1     A rogue-lite hack and slash dungeon crawler in...   \n",
       "2     The Legend of Zelda: Breath of the Wild is the...   \n",
       "3     A small child falls into the Underground, wher...   \n",
       "4     A 2D metroidvania with an emphasis on close co...   \n",
       "...                                                 ...   \n",
       "1507  Back to the Future: The Game is one of Telltal...   \n",
       "1508  Team Sonic Racing combines the best elements o...   \n",
       "1509  Set in a huge open world, Dragon’s Dogma: Dark...   \n",
       "1510  An ancient evil has returned to Baldur's Gate,...   \n",
       "1511  Join Emmet and an unlikely group of resistance...   \n",
       "\n",
       "                                                Reviews Plays Playing  \\\n",
       "0     [\"The first playthrough of elden ring is one o...   17K    3.8K   \n",
       "1     ['convinced this is a roguelike for people who...   21K    3.2K   \n",
       "2     ['This game is the game (that is not CS:GO) th...   30K    2.5K   \n",
       "3     ['soundtrack is tied for #1 with nier automata...   28K     679   \n",
       "4     [\"this games worldbuilding is incredible, with...   21K    2.4K   \n",
       "...                                                 ...   ...     ...   \n",
       "1507  ['Very enjoyable game. The story adds onto the...   763       5   \n",
       "1508  ['jogo morto mas bom', 'not my cup of tea', \"C...  1.5K      49   \n",
       "1509  ['Underrated.', 'A grandes rasgos, es como un ...  1.1K      45   \n",
       "1510  ['Bu türe bu oyunla girmeye çalışmak hataydı s...   269      79   \n",
       "1511  ['Legal', 'Pretty Average Lego Game But It Was...  1.7K      11   \n",
       "\n",
       "     Backlogs Wishlist  \n",
       "0        4.6K     4.8K  \n",
       "1        6.3K     3.6K  \n",
       "2          5K     2.6K  \n",
       "3        4.9K     1.8K  \n",
       "4        8.3K     2.3K  \n",
       "...       ...      ...  \n",
       "1507      223       67  \n",
       "1508      413      107  \n",
       "1509      487      206  \n",
       "1510      388      602  \n",
       "1511      239       73  \n",
       "\n",
       "[1512 rows x 14 columns]"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "games_data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Terlihat bahwa dataset memang terdiri dari **1.512 baris dan 14 kolom**"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "25112739",
   "metadata": {},
   "source": [
    "### c. Mengidentifikasi Atribut \n",
    "\n",
    "Mengidentifikasi jenis-jenis atribut pada data, dan tipe data pada tiap atribut."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "c1e85f0b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Unnamed: 0',\n",
       " 'Title',\n",
       " 'Release Date',\n",
       " 'Team',\n",
       " 'Rating',\n",
       " 'Times Listed',\n",
       " 'Number of Reviews',\n",
       " 'Genres',\n",
       " 'Summary',\n",
       " 'Reviews',\n",
       " 'Plays',\n",
       " 'Playing',\n",
       " 'Backlogs',\n",
       " 'Wishlist']"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "games_data.columns.values.tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "58225fbf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Unnamed: 0             int64\n",
       "Title                 object\n",
       "Release Date          object\n",
       "Team                  object\n",
       "Rating               float64\n",
       "Times Listed          object\n",
       "Number of Reviews     object\n",
       "Genres                object\n",
       "Summary               object\n",
       "Reviews               object\n",
       "Plays                 object\n",
       "Playing               object\n",
       "Backlogs              object\n",
       "Wishlist              object\n",
       "dtype: object"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "games_data.dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Berdasarkan atribut-atribut yang telah tertulis di atas, terdapat beberapa atribut yang mungkin mempengaruhi jumlah suatu game dimainkan (Plays), seperti:\n",
    "\n",
    "* Release Date\n",
    "* Rating\n",
    "* Genres\n",
    "* Playing\n",
    "\n",
    "Selanjutnya, tiap atribut akan dijelaskan satu-persatu."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fc5f5937",
   "metadata": {},
   "source": [
    "#### 1) Release Date\n",
    "\n",
    "Atribut ini bertipe data **object/string**, sekarang kita akan lihat nilai apa saja yang ada di dalam atribut ini."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "9a2547d5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['releases on TBD',\n",
       " 'Sep 30, 2022',\n",
       " 'Sep 30, 2014',\n",
       " 'Sep 30, 2013',\n",
       " 'Sep 30, 2008',\n",
       " 'Sep 30, 1999',\n",
       " 'Sep 29, 2022',\n",
       " 'Sep 29, 2021',\n",
       " 'Sep 29, 2017',\n",
       " 'Sep 29, 2011',\n",
       " 'Sep 28, 2022',\n",
       " 'Sep 28, 2021',\n",
       " 'Sep 28, 2020',\n",
       " 'Sep 28, 2018',\n",
       " 'Sep 28, 2006',\n",
       " 'Sep 28, 1990',\n",
       " 'Sep 27, 2022',\n",
       " 'Sep 27, 2019',\n",
       " 'Sep 27, 2018',\n",
       " 'Sep 26, 2019',\n",
       " 'Sep 26, 2018',\n",
       " 'Sep 26, 2017',\n",
       " 'Sep 26, 2013',\n",
       " 'Sep 26, 1986',\n",
       " 'Sep 25, 2018',\n",
       " 'Sep 25, 2014',\n",
       " 'Sep 25, 2012',\n",
       " 'Sep 25, 2007',\n",
       " 'Sep 24, 2021',\n",
       " 'Sep 24, 2020',\n",
       " 'Sep 24, 2013',\n",
       " 'Sep 24, 2001',\n",
       " 'Sep 23, 2021',\n",
       " 'Sep 23, 2003',\n",
       " 'Sep 23, 2002',\n",
       " 'Sep 23, 1993',\n",
       " 'Sep 22, 2017',\n",
       " 'Sep 22, 2011',\n",
       " 'Sep 22, 2008',\n",
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       " 'Feb 20, 2020',\n",
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       " 'Feb 13, 2007',\n",
       " 'Feb 12, 2021',\n",
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       " 'Feb 12, 1999',\n",
       " 'Feb 11, 1999',\n",
       " 'Feb 10, 2023',\n",
       " 'Feb 10, 2021',\n",
       " 'Feb 10, 2016',\n",
       " 'Feb 10, 2000',\n",
       " 'Feb 09, 2016',\n",
       " 'Feb 09, 2010',\n",
       " 'Feb 09, 2004',\n",
       " 'Feb 08, 2023',\n",
       " 'Feb 08, 2022',\n",
       " 'Feb 07, 2014',\n",
       " 'Feb 07, 2012',\n",
       " 'Feb 06, 2018',\n",
       " 'Feb 06, 2014',\n",
       " 'Feb 05, 2015',\n",
       " 'Feb 05, 2013',\n",
       " 'Feb 05, 2009',\n",
       " 'Feb 04, 2019',\n",
       " 'Feb 04, 2016',\n",
       " 'Feb 04, 2014',\n",
       " 'Feb 04, 2010',\n",
       " 'Feb 04, 2008',\n",
       " 'Feb 03, 2022',\n",
       " 'Feb 03, 1982',\n",
       " 'Feb 02, 2021',\n",
       " 'Feb 01, 1991',\n",
       " 'Dec 31, 2024',\n",
       " 'Dec 31, 2023',\n",
       " 'Dec 31, 2005',\n",
       " 'Dec 31, 1991',\n",
       " 'Dec 29, 2002',\n",
       " 'Dec 29, 1999',\n",
       " 'Dec 27, 2012',\n",
       " 'Dec 26, 2013',\n",
       " 'Dec 26, 2003',\n",
       " 'Dec 26, 2002',\n",
       " 'Dec 25, 2020',\n",
       " 'Dec 24, 2004',\n",
       " 'Dec 22, 2010',\n",
       " 'Dec 22, 2005',\n",
       " 'Dec 21, 2006',\n",
       " 'Dec 20, 2019',\n",
       " 'Dec 20, 2017',\n",
       " 'Dec 20, 2016',\n",
       " 'Dec 20, 2004',\n",
       " 'Dec 20, 2001',\n",
       " 'Dec 19, 2013',\n",
       " 'Dec 19, 2001',\n",
       " 'Dec 18, 1997',\n",
       " 'Dec 17, 2021',\n",
       " 'Dec 17, 2015',\n",
       " 'Dec 17, 2013',\n",
       " 'Dec 17, 1999',\n",
       " 'Dec 17, 1998',\n",
       " 'Dec 17, 1993',\n",
       " 'Dec 17, 1987',\n",
       " 'Dec 16, 2021',\n",
       " 'Dec 16, 1999',\n",
       " 'Dec 15, 2022',\n",
       " 'Dec 15, 2014',\n",
       " 'Dec 15, 2011',\n",
       " 'Dec 15, 1995',\n",
       " 'Dec 14, 2022',\n",
       " 'Dec 14, 2011',\n",
       " 'Dec 14, 2001',\n",
       " 'Dec 14, 2000',\n",
       " 'Dec 14, 1996',\n",
       " 'Dec 13, 2022',\n",
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       " 'Dec 12, 1999',\n",
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       " 'Dec 11, 1997',\n",
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       " 'Dec 09, 2020',\n",
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       " 'Dec 09, 1997',\n",
       " 'Dec 08, 2022',\n",
       " 'Dec 07, 2022',\n",
       " 'Dec 07, 2021',\n",
       " 'Dec 07, 2018',\n",
       " 'Dec 07, 2006',\n",
       " 'Dec 07, 2004',\n",
       " 'Dec 07, 2000',\n",
       " 'Dec 06, 2022',\n",
       " 'Dec 06, 2018',\n",
       " 'Dec 06, 2017',\n",
       " 'Dec 06, 2016',\n",
       " 'Dec 06, 2007',\n",
       " 'Dec 06, 2000',\n",
       " 'Dec 06, 1992',\n",
       " 'Dec 05, 2015',\n",
       " 'Dec 04, 2022',\n",
       " 'Dec 04, 2008',\n",
       " 'Dec 03, 1998',\n",
       " 'Dec 02, 2022',\n",
       " 'Dec 02, 2011',\n",
       " 'Dec 02, 2008',\n",
       " 'Dec 02, 2006',\n",
       " 'Dec 01, 2017',\n",
       " 'Dec 01, 2015',\n",
       " 'Aug 31, 2017',\n",
       " 'Aug 31, 2012',\n",
       " 'Aug 30, 2022',\n",
       " 'Aug 30, 2019',\n",
       " 'Aug 30, 2018',\n",
       " 'Aug 30, 2013',\n",
       " 'Aug 29, 2019',\n",
       " 'Aug 29, 2016',\n",
       " 'Aug 29, 2003',\n",
       " 'Aug 28, 2018',\n",
       " 'Aug 28, 2017',\n",
       " 'Aug 27, 2021',\n",
       " 'Aug 27, 2020',\n",
       " 'Aug 27, 2019',\n",
       " 'Aug 27, 2013',\n",
       " 'Aug 27, 2008',\n",
       " 'Aug 27, 1994',\n",
       " 'Aug 26, 2020',\n",
       " 'Aug 26, 2014',\n",
       " 'Aug 26, 1991',\n",
       " 'Aug 25, 2022',\n",
       " 'Aug 25, 2015',\n",
       " 'Aug 25, 2009',\n",
       " 'Aug 24, 2021',\n",
       " 'Aug 24, 2015',\n",
       " 'Aug 24, 2006',\n",
       " 'Aug 23, 2019',\n",
       " 'Aug 23, 2016',\n",
       " 'Aug 23, 2011',\n",
       " 'Aug 23, 2001',\n",
       " 'Aug 23, 1997',\n",
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       " 'Aug 21, 2007',\n",
       " 'Aug 21, 1997',\n",
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       " 'Aug 19, 2021',\n",
       " 'Aug 19, 2013',\n",
       " 'Aug 18, 2020',\n",
       " 'Aug 18, 2016',\n",
       " 'Aug 17, 2017',\n",
       " 'Aug 16, 2022',\n",
       " 'Aug 16, 2015',\n",
       " 'Aug 16, 1999',\n",
       " 'Aug 15, 2017',\n",
       " 'Aug 15, 2013',\n",
       " 'Aug 15, 2009',\n",
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       " 'Aug 12, 2013',\n",
       " 'Aug 11, 2022',\n",
       " 'Aug 11, 2021',\n",
       " 'Aug 11, 2011',\n",
       " 'Aug 11, 2002',\n",
       " 'Aug 10, 2021',\n",
       " 'Aug 10, 2002',\n",
       " 'Aug 09, 2018',\n",
       " 'Aug 08, 2014',\n",
       " 'Aug 07, 2018',\n",
       " 'Aug 07, 2013',\n",
       " 'Aug 07, 2008',\n",
       " 'Aug 06, 2018',\n",
       " 'Aug 06, 2008',\n",
       " 'Aug 06, 1993',\n",
       " 'Aug 05, 1995',\n",
       " 'Aug 04, 2020',\n",
       " 'Aug 03, 2017',\n",
       " 'Aug 03, 2016',\n",
       " 'Aug 02, 2016',\n",
       " 'Aug 02, 2012',\n",
       " 'Aug 01, 2023',\n",
       " 'Aug 01, 2003',\n",
       " 'Aug 01, 1988',\n",
       " 'Apr 30, 2021',\n",
       " 'Apr 30, 2020',\n",
       " 'Apr 30, 2018',\n",
       " 'Apr 30, 2014',\n",
       " 'Apr 30, 1999',\n",
       " 'Apr 30, 1995',\n",
       " 'Apr 29, 2010',\n",
       " 'Apr 29, 2008',\n",
       " 'Apr 29, 2004',\n",
       " 'Apr 28, 2023',\n",
       " 'Apr 28, 2017',\n",
       " 'Apr 28, 2016',\n",
       " 'Apr 28, 2015',\n",
       " 'Apr 27, 2022',\n",
       " 'Apr 27, 2000',\n",
       " 'Apr 27, 1992',\n",
       " 'Apr 26, 2019',\n",
       " 'Apr 25, 2019',\n",
       " 'Apr 25, 2017',\n",
       " 'Apr 25, 2003',\n",
       " 'Apr 24, 2017',\n",
       " 'Apr 24, 2012',\n",
       " 'Apr 23, 2013',\n",
       " 'Apr 22, 2021',\n",
       " 'Apr 22, 2019',\n",
       " 'Apr 22, 2010',\n",
       " 'Apr 21, 2016',\n",
       " 'Apr 21, 2005',\n",
       " 'Apr 20, 2018',\n",
       " 'Apr 20, 2010',\n",
       " 'Apr 20, 2006',\n",
       " 'Apr 20, 2005',\n",
       " 'Apr 19, 2012',\n",
       " 'Apr 19, 2011',\n",
       " 'Apr 19, 2007',\n",
       " 'Apr 19, 2005',\n",
       " 'Apr 18, 2019',\n",
       " 'Apr 18, 2013',\n",
       " 'Apr 18, 2011',\n",
       " 'Apr 18, 2008',\n",
       " 'Apr 17, 2014',\n",
       " 'Apr 16, 2013',\n",
       " 'Apr 15, 1995',\n",
       " 'Apr 13, 2015',\n",
       " 'Apr 13, 2012',\n",
       " 'Apr 13, 2003',\n",
       " 'Apr 11, 2022',\n",
       " 'Apr 10, 2020',\n",
       " 'Apr 10, 2008',\n",
       " 'Apr 09, 2018',\n",
       " 'Apr 09, 2013',\n",
       " 'Apr 09, 2007',\n",
       " 'Apr 08, 2021',\n",
       " 'Apr 07, 2022',\n",
       " 'Apr 05, 2016',\n",
       " 'Apr 03, 2020',\n",
       " 'Apr 03, 2013',\n",
       " 'Apr 02, 2015',\n",
       " 'Apr 02, 1994',\n",
       " 'Apr 01, 2014',\n",
       " 'Apr 01, 2002']"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "relDate=games_data.sort_values(by='Release Date',ascending=False)\n",
    "relDate['Release Date'].unique().tolist()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "413fddae",
   "metadata": {},
   "source": [
    "Ternyata, ada game yang memeiliki atribut release date dengan keterangan TBD (To Be Determined) yang menandakan harus ada pengolahan terlebih dahulu terhadap data di atribut ini sebelum digunakan lebih lanjut."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6e77b892",
   "metadata": {},
   "source": [
    "#### 2) Rating\n",
    "\n",
    "Atribut ini bertipe data **float** sehingga kita bisa melakukan perhitungan untuk tipe data ini"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "id": "bb0791b5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "games_data['Rating'].isnull().values.any()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d138e2d4",
   "metadata": {},
   "source": [
    "Ternyata terdapat nilai \"null\" dalam atribut ini, sehingga harus ada pengolahan terlebih dahulu sebelum data digunakan."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "38f73f16",
   "metadata": {},
   "source": [
    "#### 3) Genre\n",
    "\n",
    "Atribut ini bertipe data **object/string**, coba kita lihat nilai apa yang ada di dalam atribut ini."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "7b6ef4e1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[\"['Adventure', 'RPG']\",\n",
       " \"['Adventure', 'Brawler', 'Indie', 'RPG']\",\n",
       " \"['Adventure', 'Indie', 'RPG', 'Turn Based Strategy']\",\n",
       " \"['Adventure', 'Indie', 'Platform']\",\n",
       " \"['Adventure', 'Simulator']\",\n",
       " \"['Adventure', 'Platform']\",\n",
       " \"['Indie', 'Strategy']\",\n",
       " \"['Brawler', 'RPG']\",\n",
       " \"['Adventure', 'RPG', 'Turn Based Strategy']\",\n",
       " \"['Adventure', 'Indie']\",\n",
       " \"['Adventure', 'Brawler', 'RPG']\",\n",
       " \"['Adventure', 'Platform', 'Puzzle', 'Shooter']\",\n",
       " \"['Adventure', 'Brawler', 'RPG', 'Simulator']\",\n",
       " \"['Adventure', 'RPG', 'Shooter']\",\n",
       " \"['Platform', 'Puzzle', 'Shooter']\",\n",
       " \"['Adventure', 'Brawler', 'Music', 'Platform']\",\n",
       " \"['Adventure', 'Brawler', 'Shooter', 'Strategy']\",\n",
       " \"['Adventure', 'Shooter']\",\n",
       " \"['Adventure', 'Brawler']\",\n",
       " \"['Adventure', 'Indie', 'RPG']\",\n",
       " \"['Fighting', 'Platform']\",\n",
       " \"['Arcade', 'Indie', 'Platform', 'Shooter']\",\n",
       " \"['Adventure', 'RPG', 'Simulator', 'Visual Novel']\",\n",
       " \"['RPG', 'Shooter']\",\n",
       " \"['Adventure', 'Indie', 'Puzzle', 'Simulator']\",\n",
       " \"['Shooter']\",\n",
       " \"['Brawler', 'Shooter']\",\n",
       " \"['Indie', 'RPG', 'Simulator', 'Strategy']\",\n",
       " \"['Adventure', 'Puzzle']\",\n",
       " \"['Indie', 'Platform', 'Shooter', 'Visual Novel']\",\n",
       " \"['Adventure', 'Card & Board Game', 'Indie', 'Puzzle', 'Strategy']\",\n",
       " \"['Adventure', 'Indie', 'Puzzle', 'RPG']\",\n",
       " \"['Adventure']\",\n",
       " \"['Adventure', 'Platform', 'RPG']\",\n",
       " \"['Adventure', 'Platform', 'Shooter']\",\n",
       " \"['Adventure', 'Indie', 'Platform', 'RPG', 'Strategy']\",\n",
       " \"['Adventure', 'Shooter', 'Tactical']\",\n",
       " \"['Shooter', 'Strategy']\",\n",
       " \"['Adventure', 'RPG', 'Strategy', 'Tactical', 'Turn Based Strategy']\",\n",
       " \"['Adventure', 'Racing', 'Shooter']\",\n",
       " \"['Adventure', 'Simulator', 'Strategy', 'Tactical']\",\n",
       " \"['RPG', 'Simulator', 'Visual Novel']\",\n",
       " \"['Brawler']\",\n",
       " \"['Arcade', 'Racing']\",\n",
       " \"['Arcade', 'Indie', 'Shooter']\",\n",
       " \"['Indie', 'Platform']\",\n",
       " \"['RPG', 'Turn Based Strategy']\",\n",
       " \"['Fighting']\",\n",
       " \"['RPG']\",\n",
       " \"['Adventure', 'Puzzle', 'Shooter']\",\n",
       " \"['Adventure', 'Point-and-Click', 'Visual Novel']\",\n",
       " \"['Adventure', 'Brawler', 'Indie', 'RPG', 'Simulator', 'Strategy']\",\n",
       " \"['MOBA', 'RPG', 'Strategy']\",\n",
       " \"['Adventure', 'Indie', 'Visual Novel']\",\n",
       " \"['Adventure', 'Point-and-Click', 'Puzzle', 'Visual Novel']\",\n",
       " \"['Platform', 'Shooter']\",\n",
       " \"['Arcade']\",\n",
       " \"['Adventure', 'Arcade', 'Indie', 'Platform', 'Strategy']\",\n",
       " \"['Adventure', 'Platform', 'Puzzle']\",\n",
       " \"['Arcade', 'Brawler', 'Indie']\",\n",
       " \"['Brawler', 'Indie']\",\n",
       " \"['Platform']\",\n",
       " \"['Indie', 'Racing', 'Sport']\",\n",
       " \"['Simulator', 'Sport']\",\n",
       " \"['Racing']\",\n",
       " \"['Indie', 'Point-and-Click', 'Puzzle', 'Simulator']\",\n",
       " \"['Adventure', 'Indie', 'Puzzle']\",\n",
       " \"['Adventure', 'Brawler', 'Strategy']\",\n",
       " \"['Adventure', 'Indie', 'Platform', 'Puzzle']\",\n",
       " \"['Adventure', 'Indie', 'Simulator', 'Visual Novel']\",\n",
       " \"['Fighting', 'Indie', 'Puzzle', 'Shooter', 'Tactical']\",\n",
       " \"['Puzzle', 'Real Time Strategy', 'Simulator', 'Strategy', 'Tactical']\",\n",
       " \"['Adventure', 'Puzzle', 'Visual Novel']\",\n",
       " \"['Adventure', 'Brawler', 'Platform']\",\n",
       " \"['Adventure', 'RPG', 'Shooter', 'Strategy']\",\n",
       " \"['Adventure', 'RPG', 'Simulator']\",\n",
       " \"['Indie', 'Simulator']\",\n",
       " \"['Adventure', 'Arcade', 'Indie', 'Shooter']\",\n",
       " \"['Adventure', 'Brawler', 'Indie', 'Platform', 'RPG']\",\n",
       " \"['Adventure', 'RPG', 'Strategy']\",\n",
       " \"['Indie', 'Point-and-Click', 'Simulator']\",\n",
       " \"['Adventure', 'Brawler', 'Shooter']\",\n",
       " \"['Arcade', 'Puzzle']\",\n",
       " \"['Shooter', 'Tactical']\",\n",
       " \"['Adventure', 'Visual Novel']\",\n",
       " \"['Adventure', 'Indie', 'Point-and-Click', 'Simulator', 'Strategy']\",\n",
       " \"['Adventure', 'Indie', 'Platform', 'Puzzle', 'RPG']\",\n",
       " \"['Adventure', 'Brawler', 'Platform', 'RPG', 'Shooter']\",\n",
       " \"['Adventure', 'Indie', 'Puzzle', 'Shooter']\",\n",
       " \"['Puzzle', 'Quiz/Trivia']\",\n",
       " \"['RPG', 'Simulator']\",\n",
       " \"['Adventure', 'Platform', 'Strategy']\",\n",
       " \"['Adventure', 'Indie', 'Point-and-Click', 'Puzzle', 'RPG']\",\n",
       " \"['Indie', 'Puzzle', 'Strategy']\",\n",
       " \"['Adventure', 'Puzzle', 'Simulator', 'Visual Novel']\",\n",
       " \"['Adventure', 'Indie', 'Point-and-Click', 'RPG', 'Simulator', 'Visual Novel']\",\n",
       " \"['Platform', 'RPG']\",\n",
       " \"['Adventure', 'Indie', 'Simulator']\",\n",
       " \"['Music']\",\n",
       " \"['Indie', 'Music']\",\n",
       " \"['Brawler', 'RPG', 'Simulator', 'Strategy', 'Tactical']\",\n",
       " \"['Adventure', 'RPG', 'Strategy', 'Turn Based Strategy']\",\n",
       " \"['RPG', 'Strategy', 'Tactical']\",\n",
       " \"['Adventure', 'Brawler', 'Puzzle']\",\n",
       " \"['Adventure', 'RPG', 'Simulator', 'Strategy', 'Turn Based Strategy']\",\n",
       " \"['Adventure', 'Indie', 'Platform', 'Simulator']\",\n",
       " \"['Strategy', 'Tactical']\",\n",
       " \"['Adventure', 'Arcade', 'Indie', 'Music']\",\n",
       " \"['Fighting', 'Visual Novel']\",\n",
       " \"['Arcade', 'Indie', 'RPG']\",\n",
       " \"['Adventure', 'Puzzle', 'RPG']\",\n",
       " \"['Adventure', 'Arcade', 'Indie', 'RPG', 'Shooter']\",\n",
       " \"['Adventure', 'Indie', 'Platform', 'RPG']\",\n",
       " \"['Card & Board Game']\",\n",
       " \"['Adventure', 'Indie', 'Point-and-Click', 'Puzzle']\",\n",
       " \"['Adventure', 'Indie', 'RPG', 'Strategy', 'Turn Based Strategy']\",\n",
       " \"['Adventure', 'Music', 'Shooter']\",\n",
       " \"['Adventure', 'RPG', 'Shooter', 'Simulator', 'Strategy']\",\n",
       " \"['Adventure', 'Point-and-Click', 'Puzzle']\",\n",
       " \"['Adventure', 'Indie', 'Shooter']\",\n",
       " \"['Adventure', 'Indie', 'Shooter', 'Sport']\",\n",
       " \"['Card & Board Game', 'Simulator', 'Strategy']\",\n",
       " \"['Adventure', 'Fighting']\",\n",
       " \"['RPG', 'Strategy']\",\n",
       " \"['Arcade', 'Fighting']\",\n",
       " \"['Adventure', 'Indie', 'Puzzle', 'Simulator', 'Strategy']\",\n",
       " \"['Card & Board Game', 'Indie', 'Puzzle', 'RPG', 'Simulator', 'Strategy', 'Turn Based Strategy']\",\n",
       " \"['Card & Board Game', 'Strategy']\",\n",
       " \"['Sport']\",\n",
       " \"['Adventure', 'Puzzle', 'RPG', 'Strategy', 'Visual Novel']\",\n",
       " \"['Music', 'Simulator']\",\n",
       " \"['Simulator', 'Strategy', 'Turn Based Strategy']\",\n",
       " \"['RPG', 'Strategy', 'Tactical', 'Turn Based Strategy']\",\n",
       " \"['Adventure', 'Indie', 'Music', 'Puzzle', 'RPG']\",\n",
       " \"['Adventure', 'Indie', 'Music', 'RPG']\",\n",
       " \"['Adventure', 'Indie', 'Simulator', 'Strategy']\",\n",
       " \"['Indie', 'RPG', 'Simulator', 'Strategy', 'Turn Based Strategy']\",\n",
       " \"['Adventure', 'RPG', 'Strategy', 'Visual Novel']\",\n",
       " \"['Adventure', 'Indie', 'RPG', 'Visual Novel']\",\n",
       " \"['Brawler', 'Platform']\",\n",
       " \"['Shooter', 'Simulator']\",\n",
       " \"['Adventure', 'Brawler', 'Platform', 'RPG']\",\n",
       " \"['Arcade', 'Platform', 'Shooter']\",\n",
       " \"['Visual Novel']\",\n",
       " \"['Adventure', 'Arcade', 'Brawler', 'Fighting']\",\n",
       " \"['Adventure', 'Real Time Strategy']\",\n",
       " \"['Adventure', 'Racing', 'Sport']\",\n",
       " \"['Adventure', 'Indie', 'Platform', 'Puzzle', 'Strategy']\",\n",
       " \"['Card & Board Game', 'Platform', 'Puzzle']\",\n",
       " \"['Adventure', 'Indie', 'Point-and-Click']\",\n",
       " '[]',\n",
       " \"['Adventure', 'RPG', 'Simulator', 'Strategy', 'Tactical', 'Visual Novel']\",\n",
       " \"['Music', 'Platform', 'Racing', 'Sport']\",\n",
       " \"['Arcade', 'Indie', 'Simulator', 'Strategy']\",\n",
       " \"['RPG', 'Strategy', 'Turn Based Strategy']\",\n",
       " \"['Indie', 'RPG']\",\n",
       " \"['Adventure', 'Brawler', 'Racing', 'Shooter']\",\n",
       " \"['Adventure', 'Arcade', 'Platform']\",\n",
       " \"['Arcade', 'Indie', 'Music', 'Puzzle']\",\n",
       " \"['Adventure', 'Fighting', 'Shooter', 'Simulator', 'Strategy']\",\n",
       " \"['Point-and-Click', 'Puzzle', 'Visual Novel']\",\n",
       " \"['Adventure', 'Brawler', 'Indie', 'RPG', 'Simulator']\",\n",
       " \"['Adventure', 'Simulator', 'Visual Novel']\",\n",
       " \"['Adventure', 'Point-and-Click', 'Puzzle', 'RPG', 'Visual Novel']\",\n",
       " \"['RPG', 'Simulator', 'Strategy']\",\n",
       " \"['Simulator']\",\n",
       " \"['Fighting', 'Indie']\",\n",
       " \"['Indie', 'Platform', 'Sport']\",\n",
       " \"['Adventure', 'Tactical']\",\n",
       " \"['Arcade', 'RPG']\",\n",
       " \"['Adventure', 'Point-and-Click']\",\n",
       " \"['Adventure', 'Arcade', 'Racing', 'Shooter']\",\n",
       " \"['Adventure', 'Strategy']\",\n",
       " \"['Adventure', 'Racing', 'Shooter', 'Simulator']\",\n",
       " \"['Adventure', 'Arcade', 'Indie', 'Platform', 'Puzzle', 'RPG']\",\n",
       " \"['Arcade', 'Fighting', 'Indie', 'Platform']\",\n",
       " \"['MOBA']\",\n",
       " \"['Adventure', 'Indie', 'Platform', 'Shooter']\",\n",
       " \"['Adventure', 'Arcade', 'Indie', 'Platform']\",\n",
       " \"['RPG', 'Simulator', 'Strategy', 'Tactical']\",\n",
       " \"['Adventure', 'Platform', 'Simulator']\",\n",
       " \"['Adventure', 'Brawler', 'RPG', 'Strategy']\",\n",
       " \"['Puzzle', 'Shooter']\",\n",
       " \"['Adventure', 'Brawler', 'Indie']\",\n",
       " \"['Adventure', 'Platform', 'Puzzle', 'Simulator', 'Strategy']\",\n",
       " \"['Arcade', 'Brawler', 'Fighting', 'Indie']\",\n",
       " \"['Adventure', 'Arcade', 'Indie', 'Music', 'Platform']\",\n",
       " \"['Adventure', 'Strategy', 'Tactical', 'Turn Based Strategy']\",\n",
       " \"['Indie', 'Shooter']\",\n",
       " \"['Arcade', 'Indie', 'Simulator', 'Strategy', 'Tactical']\",\n",
       " \"['Adventure', 'Real Time Strategy', 'RPG', 'Simulator', 'Strategy']\",\n",
       " \"['Adventure', 'Platform', 'Sport']\",\n",
       " \"['RPG', 'Shooter', 'Strategy']\",\n",
       " \"['Adventure', 'Brawler', 'Puzzle', 'Shooter']\",\n",
       " \"['Adventure', 'Indie', 'Music', 'Platform']\",\n",
       " \"['Adventure', 'Arcade', 'Platform', 'Racing', 'Shooter']\",\n",
       " \"['Indie', 'RPG', 'Simulator']\",\n",
       " \"['Adventure', 'Puzzle', 'RPG', 'Simulator', 'Visual Novel']\",\n",
       " \"['Adventure', 'Platform', 'Racing']\",\n",
       " \"['Puzzle']\",\n",
       " \"['Adventure', 'Shooter', 'Simulator', 'Strategy']\",\n",
       " \"['Adventure', 'Indie', 'Point-and-Click', 'RPG', 'Turn Based Strategy']\",\n",
       " \"['Adventure', 'Arcade', 'Indie', 'Platform', 'Shooter']\",\n",
       " \"['Brawler', 'Fighting']\",\n",
       " \"['Adventure', 'Brawler', 'Fighting']\",\n",
       " \"['Adventure', 'Brawler', 'Indie', 'Platform']\",\n",
       " \"['Card & Board Game', 'Strategy', 'Turn Based Strategy']\",\n",
       " \"['Indie', 'Point-and-Click', 'Puzzle', 'RPG', 'Simulator']\",\n",
       " \"['Arcade', 'Fighting', 'Indie', 'Racing', 'Strategy']\",\n",
       " \"['Adventure', 'Brawler', 'RPG', 'Simulator', 'Sport']\",\n",
       " \"['Indie', 'Real Time Strategy', 'Simulator', 'Strategy']\",\n",
       " \"['Adventure', 'Indie', 'Music', 'Platform', 'Puzzle']\",\n",
       " \"['Adventure', 'Puzzle', 'Strategy', 'Visual Novel']\",\n",
       " \"['Adventure', 'Fighting', 'RPG']\",\n",
       " \"['Adventure', 'Point-and-Click', 'Shooter', 'Visual Novel']\",\n",
       " \"['Arcade', 'Indie', 'Puzzle', 'Shooter']\",\n",
       " \"['Real Time Strategy', 'Strategy']\",\n",
       " \"['Card & Board Game', 'Indie', 'RPG', 'Simulator', 'Strategy']\",\n",
       " \"['Indie', 'Simulator', 'Strategy']\",\n",
       " \"['Simulator', 'Strategy', 'Tactical', 'Turn Based Strategy']\",\n",
       " \"['Adventure', 'Indie', 'RPG', 'Simulator']\",\n",
       " \"['Fighting', 'RPG']\",\n",
       " \"['Adventure', 'Arcade', 'Fighting', 'Indie']\",\n",
       " \"['Puzzle', 'Strategy']\",\n",
       " \"['Adventure', 'Fighting', 'Platform']\",\n",
       " \"['Adventure', 'RPG', 'Shooter', 'Strategy', 'Tactical']\",\n",
       " \"['Arcade', 'Indie', 'Music']\",\n",
       " \"['Indie', 'Puzzle', 'Quiz/Trivia', 'Strategy']\",\n",
       " \"['Indie', 'Simulator', 'Strategy', 'Tactical']\",\n",
       " \"['Adventure', 'Indie', 'Platform', 'Simulator', 'Strategy']\",\n",
       " \"['Arcade', 'Brawler']\",\n",
       " \"['Music', 'Shooter']\",\n",
       " \"['Adventure', 'Real Time Strategy', 'Strategy', 'Tactical']\",\n",
       " \"['Adventure', 'Music']\",\n",
       " \"['Card & Board Game', 'Indie', 'Strategy', 'Turn Based Strategy']\",\n",
       " \"['Arcade', 'Platform', 'Puzzle', 'Strategy']\",\n",
       " \"['RPG', 'Strategy', 'Tactical', 'Visual Novel']\",\n",
       " \"['Indie', 'Music', 'Puzzle']\",\n",
       " \"['Adventure', 'Strategy', 'Tactical']\",\n",
       " \"['Platform', 'Shooter', 'Strategy']\",\n",
       " \"['Indie']\",\n",
       " \"['Platform', 'Puzzle']\",\n",
       " \"['Indie', 'RPG', 'Strategy', 'Tactical', 'Turn Based Strategy']\",\n",
       " \"['Card & Board Game', 'Indie', 'Puzzle', 'Simulator']\",\n",
       " \"['Adventure', 'Indie', 'Shooter', 'Strategy']\",\n",
       " \"['Brawler', 'Fighting', 'Indie']\",\n",
       " \"['Arcade', 'Indie', 'Music', 'Platform']\",\n",
       " \"['Adventure', 'Arcade', 'Pinball']\",\n",
       " \"['Arcade', 'Simulator']\",\n",
       " \"['Fighting', 'Racing', 'Shooter']\",\n",
       " \"['Adventure', 'Brawler', 'Fighting', 'RPG']\",\n",
       " \"['Real Time Strategy', 'Simulator', 'Strategy']\",\n",
       " \"['Adventure', 'Arcade', 'Platform', 'Shooter']\",\n",
       " \"['Fighting', 'Sport']\",\n",
       " \"['Simulator', 'Strategy', 'Tactical']\"]"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "title=games_data.sort_values(by='Genres',ascending=False)\n",
    "games_data['Genres'].unique().tolist()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ae638da2",
   "metadata": {},
   "source": [
    "#### 4) Playing\n",
    "\n",
    "Playing merupakan atribut yang menandakan berapa banyak pemain aktif yang masih memainkan game tersebut saat ini juga. Atribut ini juga bertipe data **object/string**."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "2eec36b1",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       " '4',\n",
       " '14',\n",
       " '12']"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "title=games_data.sort_values(by='Playing',ascending=False)\n",
    "ggames_data['Playing'].unique().tolist()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "106a2f64",
   "metadata": {},
   "source": [
    "## 2. Statistik Deskriptif\n",
    "\n",
    "Statistik deskriptif ada 2, untuk melihat pemusatan data dan penyebaran data.\n",
    "\n",
    "* **Pemusatan data**: Mean, median, modus\n",
    "* **Penyebaran data**: Varian, standar deviasi"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1003e32e",
   "metadata": {},
   "source": [
    "### a. Pemusatan Data\n",
    "\n",
    "#### 1) Mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "id": "6c1b1319",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Data: \n",
      "0       4.5\n",
      "1       4.3\n",
      "2       4.4\n",
      "3       4.2\n",
      "4       4.4\n",
      "       ... \n",
      "1507    3.2\n",
      "1508    2.9\n",
      "1509    3.7\n",
      "1510    4.1\n",
      "1511    2.8\n",
      "Name: Rating, Length: 1512, dtype: float64\n",
      "\n",
      "Mean:  3.72\n"
     ]
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "print(f\"Data: \\n{games_data['Rating']}\")\n",
    "\n",
    "mean_value=games_data['Rating'].mean()\n",
    "\n",
    "print(f\"\\nMean: {mean_value: .2f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f32d0664",
   "metadata": {},
   "source": [
    "Nilai mean kemudian divisualisasikan dalam format grafik sebagai berikut."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "id": "0f04283d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(games_data['Rating'], bins=30, edgecolor='black', alpha=0.5, color='blue')\n",
    "\n",
    "plt.axvline(x=mean_value, color='red', linestyle='dashed', linewidth=1, label=f'Mean = {mean_value:.2f}')\n",
    "\n",
    "plt.xlabel('Rating')\n",
    "plt.ylabel('Frequency')\n",
    "plt.title('Mean')\n",
    "\n",
    "plt.legend()\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fdd7c3f6",
   "metadata": {},
   "source": [
    "#### 2) Median"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "id": "923373bf",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Data: \n",
      "0       4.5\n",
      "1       4.3\n",
      "2       4.4\n",
      "3       4.2\n",
      "4       4.4\n",
      "       ... \n",
      "1507    3.2\n",
      "1508    2.9\n",
      "1509    3.7\n",
      "1510    4.1\n",
      "1511    2.8\n",
      "Name: Rating, Length: 1512, dtype: float64\n",
      "\n",
      "Data berurut: [1.9, 1.9, 2.1, 2.3, 2.4, 2.4, 2.4, 2.5, 2.5, 2.5, 2.5, 2.5, 2.6, 2.6, 2.6, 2.6, 2.6, 2.6, 2.7, 2.7, 2.7, 2.7, 2.7, 2.8, 2.8, 2.8, 2.9, 2.9, 2.9, 2.9, 2.9, 2.9, 2.9, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.1, 3.1, 3.1, 3.1, 3.1, 3.1, 3.1, 3.1, 3.1, 3.1, 3.1, 3.2, 3.2, 3.2, 3.2, 3.2, 3.2, 3.2, 3.2, 3.2, 3.2, 3.2, 3.2, 3.2, 3.2, 3.2, 3.2, 3.3, 3.3, 3.3, 3.3, 3.3, 3.3, 3.3, 3.3, 3.3, 3.3, 3.3, 3.3, 3.3, 3.3, 3.3, 3.3, 3.3, 3.3, 3.3, 3.3, 3.3, 3.3, 3.3, 3.3, 3.3, 3.3, 3.4, 3.4, 3.4, 3.4, 3.4, 3.4, 3.4, 3.4, 3.4, 3.4, 3.4, 3.4, 3.4, 3.4, 3.4, 3.4, 3.4, 3.4, 3.4, 3.4, 3.4, 3.4, 3.4, 3.4, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.8, 3.8, 3.8, 3.8, 3.8, 3.8, 3.8, 3.8, 3.8, 3.8, 3.8, 3.8, 3.8, 3.8, 3.8, 3.8, 3.8, 3.8, 3.8, 3.8, 3.8, 3.8, 3.8, 3.8, 3.8, 3.8, 3.8, 3.8, 3.8, 3.8, 3.8, 3.8, 3.8, 3.8, 3.8, 3.8, 3.8, 3.8, 3.8, 3.8, 3.8, 3.8, 3.8, 3.8, 3.8, 3.8, 3.8, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.4, 4.4, 4.4, 4.4, 4.4, 4.4, 4.4, 4.4, 4.4, 4.4, 4.4, 4.4, 4.4, 4.4, 4.4, 4.4, 4.4, 4.4, 4.4, 4.4, 4.4, 4.4, 4.4, 4.4, 4.4, 4.4, 4.4, 4.4, 4.4, 4.4, 4.4, 4.4, 4.4, 4.4, 4.4, 4.4, 4.4, 4.4, 4.5, 4.5, 4.5, 4.5, 4.5, 4.5, 4.5, 4.5, 4.5, 4.5, 4.5, 4.5, 4.5, 4.5, 4.5, 4.5, 4.5, 4.5, 4.5, 4.5, 4.5, 4.6, 4.6, nan, 4.2, 4.2, 4.2, 4.2, 4.2, 4.3, 4.3, 4.3, 4.3, 4.4, 4.4, 4.4, 4.4, 4.5, nan, 4.4, nan, 4.4, 4.6, nan, 1.2, 1.9, 2.1, 2.3, 2.4, 2.7, 2.8, 2.9, 3.0, 3.2, 3.2, 3.2, 3.4, 3.4, 3.5, 3.5, 3.5, 3.6, 3.6, 3.6, 3.6, 3.6, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.8, 3.8, 3.8, 3.8, 3.9, 4.0, 4.0, 4.0, 4.0, 4.1, 4.1, 4.3, nan, 4.1, 4.2, 4.4, nan, 1.6, 2.1, 2.2, 2.4, 2.4, 2.9, 2.9, 3.0, 3.0, 3.1, 3.1, 3.2, 3.3, 3.3, 3.3, 3.4, 3.4, 3.4, 3.4, 3.4, 3.4, 3.5, 3.6, 3.6, 3.6, 3.7, 3.7, 3.7, 3.8, 3.8, 3.8, 3.9, 3.9, 3.9, 3.9, 4.0, 4.0, 4.0, 4.0, 4.1, 4.1, 4.1, 4.1, 4.1, 4.2, 4.3, nan, 2.5, 2.5, 2.6, 2.6, 2.7, 2.7, 2.7, 2.7, 2.8, 2.8, 2.8, 2.8, 2.8, 2.8, 2.9, 2.9, 2.9, 2.9, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.1, 3.1, 3.1, 3.1, 3.1, 3.1, 3.1, 3.1, 3.1, 3.1, 3.1, 3.2, 3.2, 3.2, 3.2, 3.2, 3.2, 3.2, 3.3, 3.3, 3.3, 3.3, 3.3, 3.3, 3.3, 3.4, 3.4, 3.4, 3.4, 3.4, 3.4, 3.4, 3.4, 3.4, 3.4, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.8, 3.8, 3.8, 3.8, 3.8, 3.8, 3.8, 3.8, 3.8, 3.8, 3.8, 3.8, 3.8, 3.8, 3.8, 3.8, 3.8, 3.8, 3.8, 3.8, 3.8, 3.8, 3.8, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.4, 4.6, nan, 2.4, 2.5, 2.5, 2.5, 2.5, 2.6, 2.7, 2.7, 2.7, 2.8, 2.8, 2.8, 2.8, 2.9, 2.9, 3.0, 3.1, 3.2, 3.2, 3.3, 3.3, 3.3, 3.3, 3.4, 3.4, 3.4, 3.4, 3.5, 3.5, 3.5, 3.5, 3.6, 3.6, 3.6, 3.7, 3.7, 3.7, 3.7, 3.7, 3.8, 3.8, 3.9, 3.9, 4.0, 4.0, 4.0, 4.0, 4.1, 4.1, 4.2, 4.2, 4.3, 4.3, 4.5, 4.6, nan, 4.6, nan, 1.5, 1.9, 2.2, 2.3, 2.3, 2.4, 2.4, 2.5, 2.7, 2.8, 2.8, 2.8, 2.8, 2.9, 2.9, 2.9, 2.9, 3.0, 3.0, 3.0, 3.0, 3.1, 3.1, 3.1, 3.1, 3.1, 3.2, 3.2, 3.2, 3.2, 3.2, 3.2, 3.2, 3.2, 3.2, 3.2, 3.3, 3.3, 3.3, 3.3, 3.3, 3.3, 3.3, 3.4, 3.4, 3.4, 3.4, 3.4, 3.4, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.8, 3.8, 3.8, 3.8, 3.8, 3.8, 3.8, 3.8, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.1, 4.1, 4.1, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.2, 4.3, 4.3, 4.3, 4.3, 4.4, 4.5, 4.5, 4.6, nan, 4.1, 4.4, 4.6, 4.8, nan, 0.7, 2.0, 2.3, 2.3, 2.7, 2.7, 2.8, 2.9, 3.0, 3.0, 3.1, 3.1, 3.1, 3.1, 3.2, 3.2, 3.2, 3.2, 3.2, 3.2, 3.3, 3.4, 3.4, 3.4, 3.4, 3.5, 3.5, 3.5, 3.6, 3.6, 3.6, 3.6, 3.7, 3.7, 3.7, 3.7, 3.8, 3.8, 3.9, 3.9, 4.0, 4.1, nan, 1.4, 1.6, 1.8, 2.1, 2.2, 2.4, 2.5, 2.5, 2.5, 2.6, 2.7, 2.8, 2.8, 2.8, 2.8, 2.8, 2.8, 2.9, 2.9, 2.9, 2.9, 2.9, 2.9, 2.9, 3.0, 3.0, 3.1, 3.1, 3.1, 3.1, 3.1, 3.1, 3.1, 3.1, 3.1, 3.1, 3.1, 3.2, 3.2, 3.2, 3.2, 3.2, 3.2, 3.2, 3.2, 3.3, 3.3, 3.3, 3.3, 3.3, 3.3, 3.3, 3.3, 3.3, 3.4, 3.4, 3.4, 3.4, 3.4, 3.4, 3.4, 3.4, 3.4, 3.4, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.6, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.7, 3.8, 3.8, 3.8, 3.8, 3.8, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 3.9, 4.0, 4.0, 4.0, 4.0, 4.0, 4.1, 4.1, 4.1, 4.1, 4.1, 4.2, 4.2, 4.2, 4.2, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.3, 4.4, 4.4, 4.4, 4.4, 4.4, 4.4, 4.4, 4.4, 4.4, 4.4, 4.4, 4.4, 4.5, 4.5, 4.5, 4.5, 4.5, 4.5, 4.5, 4.5, 4.5, 4.5, 4.6, 4.6, 4.6, 4.6, 4.6, 4.6, 4.6, 4.6, 4.6, 4.6, 4.6, 4.6, 4.6, 4.6, 4.6, 4.6]\n",
      "\n",
      "Jumlah total data: 1512\n",
      "\n",
      "Median: 3.8\n"
     ]
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "print(f\"Data: \\n{games_data['Rating']}\")\n",
    "\n",
    "sorted_data = sorted(games_data['Rating'])\n",
    "print(f\"\\nData berurut: {sorted_data}\")\n",
    "\n",
    "n = len(sorted_data)\n",
    "print(f\"\\nJumlah total data: {n}\")\n",
    "\n",
    "median_value=games_data['Rating'].median()\n",
    "\n",
    "print(f\"\\nMedian: {median_value}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ed9252e1",
   "metadata": {},
   "source": [
    "Nilai median kemudian divisualisasikan dalam format grafik sebagai berikut."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "id": "8fa993e0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(games_data['Rating'], bins=30, edgecolor='black', alpha=0.5, color='blue')\n",
    "\n",
    "plt.axvline(x=median_value, color='red', linestyle='dashed', linewidth=1, label=f'Median = {median_value:.2f}')\n",
    "\n",
    "plt.xlabel('Rating')\n",
    "plt.ylabel('Frequency')\n",
    "plt.title('Median')\n",
    "\n",
    "plt.legend()\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "028ddeac",
   "metadata": {},
   "source": [
    "#### 3) Modus"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "id": "4d3695d1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Data: \n",
      "0       4.5\n",
      "1       4.3\n",
      "2       4.4\n",
      "3       4.2\n",
      "4       4.4\n",
      "       ... \n",
      "1507    3.2\n",
      "1508    2.9\n",
      "1509    3.7\n",
      "1510    4.1\n",
      "1511    2.8\n",
      "Name: Rating, Length: 1512, dtype: float64\n",
      "\n",
      "Max Counter: 131\n",
      "4.5 muncul 35 kali\n",
      "4.3 muncul 93 kali\n",
      "4.4 muncul 60 kali\n",
      "4.2 muncul 113 kali\n",
      "3.0 muncul 33 kali\n",
      "3.7 muncul 124 kali\n",
      "4.1 muncul 131 kali\n",
      "3.8 muncul 94 kali\n",
      "3.3 muncul 57 kali\n",
      "4.6 muncul 24 kali\n",
      "2.6 muncul 10 kali\n",
      "3.9 muncul 112 kali\n",
      "4.0 muncul 124 kali\n",
      "2.7 muncul 17 kali\n",
      "3.6 muncul 108 kali\n",
      "3.5 muncul 96 kali\n",
      "3.2 muncul 53 kali\n",
      "2.8 muncul 25 kali\n",
      "2.1 muncul 4 kali\n",
      "3.4 muncul 66 kali\n",
      "3.1 muncul 45 kali\n",
      "2.9 muncul 28 kali\n",
      "2.5 muncul 15 kali\n",
      "1.9 muncul 4 kali\n",
      "2.4 muncul 10 kali\n",
      "2.3 muncul 6 kali\n",
      "nan muncul 1 kali\n",
      "nan muncul 1 kali\n",
      "nan muncul 1 kali\n",
      "nan muncul 1 kali\n",
      "nan muncul 1 kali\n",
      "nan muncul 1 kali\n",
      "1.2 muncul 1 kali\n",
      "2.2 muncul 3 kali\n",
      "1.6 muncul 2 kali\n",
      "nan muncul 1 kali\n",
      "nan muncul 1 kali\n",
      "nan muncul 1 kali\n",
      "nan muncul 1 kali\n",
      "1.5 muncul 1 kali\n",
      "4.8 muncul 1 kali\n",
      "nan muncul 1 kali\n",
      "nan muncul 1 kali\n",
      "nan muncul 1 kali\n",
      "2.0 muncul 1 kali\n",
      "1.4 muncul 1 kali\n",
      "0.7 muncul 1 kali\n",
      "1.8 muncul 1 kali\n",
      "\n",
      "Modus: [4.1]\n"
     ]
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "from collections import Counter\n",
    "\n",
    "print(f\"Data: \\n{games_data['Rating']}\")\n",
    "\n",
    "counter = Counter(games_data['Rating'])\n",
    "mode_data = dict(counter)\n",
    "max_counter = max(list(counter.values()))\n",
    "print(f\"\\nMax Counter: {max_counter}\")\n",
    "\n",
    "mode_value = []\n",
    "for k, v in mode_data.items():\n",
    "    print(f\"{k} muncul {v} kali\")\n",
    "    if v == max(list(counter.values())):\n",
    "        mode_value.append(k)\n",
    "    \n",
    "print(f\"\\nModus: {mode_value}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "045981e2",
   "metadata": {},
   "source": [
    "Nilai Modus kemudian divisualisasikan dalam format grafik sebagai berikut."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "id": "773aec57",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(games_data['Rating'], bins=30, edgecolor='black', alpha=0.5, color='green')\n",
    "\n",
    "plt.axvline(x=mode_value[0], color='red', linestyle='dashed', linewidth=1, label=f'Modus = {mode_value[0]:.2f}')\n",
    "\n",
    "plt.xlabel('Rating')\n",
    "plt.ylabel('Frequency')\n",
    "plt.title('Modes')\n",
    "\n",
    "plt.legend()\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "714eb97c",
   "metadata": {},
   "source": [
    "Berdasarkan perhitungan yang telah dilakukan, didapatin nilai mean, median, dan modus berturut-turut adalah 3.72, 3.80, dan 4.10 sehingga dapat disimpulkan bahwa nilai mean dan median tidak dipengaruhi oleh outliers sedangkan untuk modus juga cukup sesuai dengan kedua nilai sebelumnya dikarenakan memiliki nilai yang mendekati dan distribusi datanya dapat disebut normal."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2f770477",
   "metadata": {},
   "source": [
    "### b.Penyebaran Data\n",
    "\n",
    "#### 1) Range"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0a6135a3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Data: \n",
      "0       4.5\n",
      "1       4.3\n",
      "2       4.4\n",
      "3       4.2\n",
      "4       4.4\n",
      "       ... \n",
      "1507    3.2\n",
      "1508    2.9\n",
      "1509    3.7\n",
      "1510    4.1\n",
      "1511    2.8\n",
      "Name: Rating, Length: 1512, dtype: float64\n",
      "\n",
      "lowest: 0.7\n",
      "highest: 4.8\n"
     ]
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "print(f\"Data: \\n{games_data['Rating']}\")\n",
    "lowest=games_data['Rating'].min()\n",
    "highest=games_data['Rating'].max()\n",
    "\n",
    "print(f\"\\nlowest: {lowest}\")\n",
    "print(f\"\\nhighest: {highest}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "id": "a15678f2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(games_data['Rating'], bins=30, edgecolor='black', alpha=0.5, color='green')\n",
    "\n",
    "plt.axvline(x=lowest, color='red', linestyle='dashed', linewidth=1, label=f'min data = {lowest:.2f}')\n",
    "plt.axvline(x=highest, color='red', linestyle='dashed', linewidth=1, label=f'max data = {highest:.2f}')\n",
    "\n",
    "plt.xlabel('Rating')\n",
    "plt.ylabel('Frequency')\n",
    "plt.title('Range')\n",
    "\n",
    "plt.legend()\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cc2d55ff",
   "metadata": {},
   "source": [
    "#### 2) Standar Deviasi"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "id": "4b1faa64",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Data: \n",
      "0       4.5\n",
      "1       4.3\n",
      "2       4.4\n",
      "3       4.2\n",
      "4       4.4\n",
      "       ... \n",
      "1507    3.2\n",
      "1508    2.9\n",
      "1509    3.7\n",
      "1510    4.1\n",
      "1511    2.8\n",
      "Name: Rating, Length: 1512, dtype: float64\n",
      "\n",
      "Standar Deviasi=  0.53\n"
     ]
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "print(f\"Data: \\n{games_data['Rating']}\")\n",
    "standard_deviation = games_data['Rating'].std()\n",
    "\n",
    "print(f\"\\nStandar Deviasi= {standard_deviation: .2f}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "id": "62a7d171",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(games_data['Rating'], bins=30, edgecolor='black', alpha=0.5, color='green')\n",
    "\n",
    "plt.axvline(x=mean_value, color='red', linestyle='dashed', linewidth=1, label=f'Mean = {mean_value: .2f}')\n",
    "plt.axvline(x=mean_value - standard_deviation, color='blue', linestyle='dashed', linewidth=1, label=f'{mean_value-standard_deviation:.2f}')\n",
    "plt.axvline(x=mean_value + standard_deviation, color='blue', linestyle='dashed', linewidth=1, label=f'{mean_value+standard_deviation:.2f}')\n",
    "\n",
    "plt.xlabel('Value')\n",
    "plt.ylabel('Frequency')\n",
    "plt.title(f'Standard Deviation = {standard_deviation:.2f}')\n",
    "\n",
    "plt.legend()\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "548d080d",
   "metadata": {},
   "source": [
    "Didapati bahwa kebanyakan game memiliki rating antara 3.19 - 4.25 yang menandakan bahwa kemungkinan besar ada lebih banyak game yang dimainkan dengan jangkauan rating ini."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d0151f7d",
   "metadata": {},
   "source": [
    "## 3. Analisis Hubungan Atribut"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d7aa11fc",
   "metadata": {},
   "source": [
    "### a) Release Date\n",
    "\n",
    "Pada bagian ini dilakukan pengolahan data lanjutan yang mengabaikan nilai \"releases on TBD\" karena game yang belum dirilis tidak memiliki rating dan akan mengganggu proses analisis apabila tidak diabaikan."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f64996bc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "\n",
    "dropTBD = games_data.drop(games_data[games_data['Release Date'] == 'releases on TBD'].index)\n",
    "sortPlay=dropTBD.sort_values(by='Plays',ascending=True)\n",
    "playby=sortPlay.tail(6)\n",
    "\n",
    "plt.barh(playby['Release Date'],playby['Plays'])\n",
    "plt.ylabel(\"Realese Date\")\n",
    "plt.xlabel(\"Play Times\")\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e368ff61",
   "metadata": {},
   "source": [
    "Dapat dilihat bahwa tanggal perilisan suatu game sama sekali tidak berpengaruh terhadap seberapa banyak game tersebut dimainkan. Game dengan jumlah dimainkan terbanyak dirilis pada tahun 2010, diikuti 1994, 2005, 2010 lagi, 1995, dst. Sehingga pola dari hubungan ini tidak dapat ditemukan."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b9d23ace",
   "metadata": {},
   "source": [
    "### b) Rating\n",
    "\n",
    "Karena sebelumnya sempat ditemukan nilai \"null\" di dalam atribut ini sehingga akan dilakukan pengolahan data lanjutan sebelum analisis."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3b737a46",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "\n",
    "games_data.dropna(subset=['Rating'],inplace=True)\n",
    "playby=sortPlay.tail(7)\n",
    "\n",
    "plt.bar(playby['Plays'],playby['Rating'],width=0.4)\n",
    "plt.ylabel(\"Rating\")\n",
    "plt.xlabel(\"Play Times\")\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "03316842",
   "metadata": {},
   "source": [
    "Berdasarkan perhitungan sebelumnya di bagian \"Statistik Deskriptif\" kebanyakan game memiliki jangkauan rating antara 3.19 - 4.25, dan dapat dilihat bahwa memang jika dihubungkan dengan jumalh dimainkan akan terlihat cukup sesuai, namun, pola yang dihasilkan tetap tidak bisa ditemukan karena seperti contoh di atas terlihat bahwa game dengan rating di atas 4 dengan jumlah dimainkan sebanyak 984 kali bisa dikalahkan oleh game yang bahkan hanya melewati rating 3."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b6767a6b",
   "metadata": {},
   "source": [
    "### c) Genre"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d0eedcfc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "\n",
    "playby=sortPlay.tail(7)\n",
    "\n",
    "\n",
    "plt.barh(playby['Genres'],playby['Plays'])\n",
    "plt.xlabel(\"Play Times\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fb3764b4",
   "metadata": {},
   "source": [
    "Karena genre pada setiap game tidak dapat dipisahkan per-elemennya, sehingga dapat dilihat bahwa game yang paling banyak dimainkan kebanyakan memiliki genre antara \"Adventure\" dan \"RPG\" karena muncul hingga 3 kali di atas."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "056accb8",
   "metadata": {},
   "source": [
    "### d) Playing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "aa84a510",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "\n",
    "playby=sortPlay.tail(7)\n",
    "\n",
    "\n",
    "plt.barh(playby['Playing'],playby['Plays'])\n",
    "plt.ylabel(\"Active Player(s)\")\n",
    "plt.xlabel(\"Play Times\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4ad7ada6",
   "metadata": {},
   "source": [
    "Sementara itu, jumlah pemain aktif di sini sangat membuktikan bahwa tidak ada hubungan sama sekali antara pemain aktif dengan jumlah suatu game dimainkan. Bahkan, game yang memiliki 1 pemain aktif sudah dimainkan lebih banyak dari pada game dengan pemain aktif 126."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c27a996a",
   "metadata": {},
   "source": [
    "## 4. Kesimpulan"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e8b84d83",
   "metadata": {},
   "source": [
    "Berdasarkan hasil analisis di atas, kami menyimpulkan bahwa:\n",
    "\n",
    "* Release Date sama sekali tidak mempengaruhi jumlah suatu game dimainkan, ada game-game lawas yang bahkan lebih menarik untuk dimainkan dari pada game yang baru dirilis, tapi bukan berarti bahwa game yang baru dirilis sekalipun tidak menarik perhatian para gamer.\n",
    "\n",
    "* Rating secara tidak langsung berpengaruh terhadap jumlah game dimainkan karena kebanyakan game memiliki rating seperti yang dijelaskan pada bagian \"Statistik Deskriptif\" dan memang terbukti bahwa gam yang banyak dimainkan memiliki rating di dalam jangkauan tersebut.\n",
    "\n",
    "* Genre game tidak terlalu mempengaruhi seberapa banyak game dimainkan tetapi didapati bahwa game dengan genre \"Adventure\" dan \"RPG\" termasuk dalam genre game yang banyuak dimainkan.\n",
    "\n",
    "* Jumlah pemain aktif sangat membuktikan bahwa tidak ada pengaruhnya sama sekali dengan jumlah game dimainkan, karena bisa saja game lawas dengan pemain sedikit pernah terkenal di zaman perilisannya yang membuat nilai jumlah dimainkan menjadi melonjak walaupun kini jumlah pemain aktifnya tidak terlalu banyak.\n",
    "\n",
    "Sekian EDA yang bisa kami sajikan, terima kasih.\n",
    "\n",
    "Dikerjakan Oleh:\n",
    "1. Elgracito Iryanda **Endi**a (5027231057)\n",
    "2. Muhammad **Faqih** Husain (5027231023)\n",
    "3. Rafael **Ega** Krisaditya (5027231025)"
   ]
  }
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