{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Lab3 - 2 - Data Transformations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>.container { width:80% !important; }</style>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from IPython.display import display, HTML\n",
    "display(HTML(\"<style>.container { width:80% !important; }</style>\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "When preparing data for input to machine learning algorithms you may have to perform certain types of data preparation.\n",
    "\n",
    "In most enterprise solutions all or most of these tasks are automated for you, but in many languages they aren’t. The enterprise solutions are about ‘automating the boring stuff’ so that you don’t have to worry about it and waste valuable time doing boring, repetitive things.\n",
    "\n",
    "The following examples illustrates a number of ways to record categorical variables into numeric. There are a number of approaches available, and it is up to you to decide which one might work best for your problem, your data, etc.\n",
    "\n",
    "Let’s begin by loading the data set to be used in these examples. It is a Video Games reviews data set.\n",
    "Useful : This website has a list of useful and typical data transformations. Some of these are covered below.\n",
    "https://www.kdnuggets.com/2020/07/easy-guide-data-preprocessing-python.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Name</th>\n",
       "      <th>Platform</th>\n",
       "      <th>Year_of_Release</th>\n",
       "      <th>Genre</th>\n",
       "      <th>Publisher</th>\n",
       "      <th>NA_Sales</th>\n",
       "      <th>EU_Sales</th>\n",
       "      <th>JP_Sales</th>\n",
       "      <th>Other_Sales</th>\n",
       "      <th>Global_Sales</th>\n",
       "      <th>Critic_Score</th>\n",
       "      <th>Critic_Count</th>\n",
       "      <th>User_Score</th>\n",
       "      <th>User_Count</th>\n",
       "      <th>Developer</th>\n",
       "      <th>Rating</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Wii Sports</td>\n",
       "      <td>Wii</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>Sports</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>41.36</td>\n",
       "      <td>28.96</td>\n",
       "      <td>3.77</td>\n",
       "      <td>8.45</td>\n",
       "      <td>82.53</td>\n",
       "      <td>76.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>8</td>\n",
       "      <td>322.0</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Super Mario Bros.</td>\n",
       "      <td>NES</td>\n",
       "      <td>1985.0</td>\n",
       "      <td>Platform</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>29.08</td>\n",
       "      <td>3.58</td>\n",
       "      <td>6.81</td>\n",
       "      <td>0.77</td>\n",
       "      <td>40.24</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Mario Kart Wii</td>\n",
       "      <td>Wii</td>\n",
       "      <td>2008.0</td>\n",
       "      <td>Racing</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>15.68</td>\n",
       "      <td>12.76</td>\n",
       "      <td>3.79</td>\n",
       "      <td>3.29</td>\n",
       "      <td>35.52</td>\n",
       "      <td>82.0</td>\n",
       "      <td>73.0</td>\n",
       "      <td>8.3</td>\n",
       "      <td>709.0</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Wii Sports Resort</td>\n",
       "      <td>Wii</td>\n",
       "      <td>2009.0</td>\n",
       "      <td>Sports</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>15.61</td>\n",
       "      <td>10.93</td>\n",
       "      <td>3.28</td>\n",
       "      <td>2.95</td>\n",
       "      <td>32.77</td>\n",
       "      <td>80.0</td>\n",
       "      <td>73.0</td>\n",
       "      <td>8</td>\n",
       "      <td>192.0</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Pokemon Red/Pokemon Blue</td>\n",
       "      <td>GB</td>\n",
       "      <td>1996.0</td>\n",
       "      <td>Role-Playing</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>11.27</td>\n",
       "      <td>8.89</td>\n",
       "      <td>10.22</td>\n",
       "      <td>1.00</td>\n",
       "      <td>31.37</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Tetris</td>\n",
       "      <td>GB</td>\n",
       "      <td>1989.0</td>\n",
       "      <td>Puzzle</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>23.20</td>\n",
       "      <td>2.26</td>\n",
       "      <td>4.22</td>\n",
       "      <td>0.58</td>\n",
       "      <td>30.26</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>New Super Mario Bros.</td>\n",
       "      <td>DS</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>Platform</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>11.28</td>\n",
       "      <td>9.14</td>\n",
       "      <td>6.50</td>\n",
       "      <td>2.88</td>\n",
       "      <td>29.80</td>\n",
       "      <td>89.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>8.5</td>\n",
       "      <td>431.0</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Wii Play</td>\n",
       "      <td>Wii</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>Misc</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>13.96</td>\n",
       "      <td>9.18</td>\n",
       "      <td>2.93</td>\n",
       "      <td>2.84</td>\n",
       "      <td>28.92</td>\n",
       "      <td>58.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>6.6</td>\n",
       "      <td>129.0</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>New Super Mario Bros. Wii</td>\n",
       "      <td>Wii</td>\n",
       "      <td>2009.0</td>\n",
       "      <td>Platform</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>14.44</td>\n",
       "      <td>6.94</td>\n",
       "      <td>4.70</td>\n",
       "      <td>2.24</td>\n",
       "      <td>28.32</td>\n",
       "      <td>87.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>8.4</td>\n",
       "      <td>594.0</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Duck Hunt</td>\n",
       "      <td>NES</td>\n",
       "      <td>1984.0</td>\n",
       "      <td>Shooter</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>26.93</td>\n",
       "      <td>0.63</td>\n",
       "      <td>0.28</td>\n",
       "      <td>0.47</td>\n",
       "      <td>28.31</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        Name Platform  Year_of_Release         Genre  \\\n",
       "0                 Wii Sports      Wii           2006.0        Sports   \n",
       "1          Super Mario Bros.      NES           1985.0      Platform   \n",
       "2             Mario Kart Wii      Wii           2008.0        Racing   \n",
       "3          Wii Sports Resort      Wii           2009.0        Sports   \n",
       "4   Pokemon Red/Pokemon Blue       GB           1996.0  Role-Playing   \n",
       "5                     Tetris       GB           1989.0        Puzzle   \n",
       "6      New Super Mario Bros.       DS           2006.0      Platform   \n",
       "7                   Wii Play      Wii           2006.0          Misc   \n",
       "8  New Super Mario Bros. Wii      Wii           2009.0      Platform   \n",
       "9                  Duck Hunt      NES           1984.0       Shooter   \n",
       "\n",
       "  Publisher  NA_Sales  EU_Sales  JP_Sales  Other_Sales  Global_Sales  \\\n",
       "0  Nintendo     41.36     28.96      3.77         8.45         82.53   \n",
       "1  Nintendo     29.08      3.58      6.81         0.77         40.24   \n",
       "2  Nintendo     15.68     12.76      3.79         3.29         35.52   \n",
       "3  Nintendo     15.61     10.93      3.28         2.95         32.77   \n",
       "4  Nintendo     11.27      8.89     10.22         1.00         31.37   \n",
       "5  Nintendo     23.20      2.26      4.22         0.58         30.26   \n",
       "6  Nintendo     11.28      9.14      6.50         2.88         29.80   \n",
       "7  Nintendo     13.96      9.18      2.93         2.84         28.92   \n",
       "8  Nintendo     14.44      6.94      4.70         2.24         28.32   \n",
       "9  Nintendo     26.93      0.63      0.28         0.47         28.31   \n",
       "\n",
       "   Critic_Score  Critic_Count User_Score  User_Count Developer Rating  \n",
       "0          76.0          51.0          8       322.0  Nintendo      E  \n",
       "1           NaN           NaN        NaN         NaN       NaN    NaN  \n",
       "2          82.0          73.0        8.3       709.0  Nintendo      E  \n",
       "3          80.0          73.0          8       192.0  Nintendo      E  \n",
       "4           NaN           NaN        NaN         NaN       NaN    NaN  \n",
       "5           NaN           NaN        NaN         NaN       NaN    NaN  \n",
       "6          89.0          65.0        8.5       431.0  Nintendo      E  \n",
       "7          58.0          41.0        6.6       129.0  Nintendo      E  \n",
       "8          87.0          80.0        8.4       594.0  Nintendo      E  \n",
       "9           NaN           NaN        NaN         NaN       NaN    NaN  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# perform some Statistics on the items in a panda\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib as plt\n",
    "videoReview = pd.read_csv('C:\\\\Users\\\\Rafael\\\\Documents\\\\DataScience\\\\Data Analitics\\\\Week4\\\\Video_Games_Sales_as_at_22_Dec_2016.csv') \n",
    "videoReview.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Name                object\n",
       "Platform            object\n",
       "Year_of_Release    float64\n",
       "Genre               object\n",
       "Publisher           object\n",
       "NA_Sales           float64\n",
       "EU_Sales           float64\n",
       "JP_Sales           float64\n",
       "Other_Sales        float64\n",
       "Global_Sales       float64\n",
       "Critic_Score       float64\n",
       "Critic_Count       float64\n",
       "User_Score          object\n",
       "User_Count         float64\n",
       "Developer           object\n",
       "Rating              object\n",
       "dtype: object"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#What are the data types of each variable\n",
    "videoReview.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Nintendo',\n",
       " nan,\n",
       " 'Good Science Studio',\n",
       " 'Rockstar North',\n",
       " 'Polyphony Digital',\n",
       " 'Infinity Ward, Sledgehammer Games',\n",
       " 'Treyarch',\n",
       " 'Infinity Ward',\n",
       " 'DMA Design',\n",
       " 'Game Arts',\n",
       " 'Retro Studios, Entertainment Analysis & Development Division',\n",
       " 'Bungie Software, Bungie',\n",
       " 'Ubisoft',\n",
       " 'Bungie',\n",
       " 'SquareSoft',\n",
       " '343 Industries',\n",
       " 'Hudson Soft',\n",
       " 'Bethesda Game Studios',\n",
       " 'EA Sports',\n",
       " 'Bungie Software',\n",
       " 'Nd Cube',\n",
       " 'Hudson',\n",
       " 'Electronic Arts',\n",
       " 'The Sims Studio',\n",
       " 'Game Freak',\n",
       " 'Rockstar Leeds',\n",
       " 'Sledgehammer Games',\n",
       " 'EA Sports, EA Vancouver',\n",
       " 'Nintendo EAD Tokyo',\n",
       " 'EA DICE',\n",
       " 'EA Black Box',\n",
       " 'Ubisoft Paris',\n",
       " 'Namco',\n",
       " 'Naughty Dog',\n",
       " 'HAL Labs',\n",
       " 'EA Canada',\n",
       " 'EA LA',\n",
       " 'Epic Games',\n",
       " 'Pipeworks Software, Inc.',\n",
       " 'Rockstar San Diego',\n",
       " 'Retro Studios',\n",
       " 'Blizzard Entertainment',\n",
       " 'Reflections Interactive',\n",
       " 'Rare Ltd.',\n",
       " 'KCEJ',\n",
       " 'Kojima Productions',\n",
       " 'Square Enix',\n",
       " 'SCE/WWS, Media Molecule',\n",
       " 'Capcom',\n",
       " 'Level 5',\n",
       " \"Traveller's Tales\",\n",
       " 'Taito Corporation',\n",
       " 'Ubisoft Montreal',\n",
       " 'Turn 10',\n",
       " 'Rocksteady Studios',\n",
       " 'Intelligent Systems',\n",
       " 'Core Design Ltd.',\n",
       " 'EA Tiburon',\n",
       " 'Harmonix Music Systems',\n",
       " 'Lionhead Studios',\n",
       " 'Neversoft Entertainment',\n",
       " 'Neversoft Entertainment, BudCat',\n",
       " 'Naughty Dog, SCE/WWS',\n",
       " 'SCE Santa Monica',\n",
       " 'TT Fusion',\n",
       " 'Stormfront Studios',\n",
       " 'Bluepoint Games',\n",
       " 'Vicarious Visions',\n",
       " 'Next Level Games',\n",
       " 'Konami',\n",
       " 'Bethesda Softworks',\n",
       " 'Ubisoft Paris, Ubisoft Montpellier',\n",
       " 'High Moon Studios',\n",
       " 'Insomniac Games',\n",
       " 'Mass Media',\n",
       " 'Ready at Dawn',\n",
       " 'SCEE, Zoe Mode',\n",
       " 'Valve Software',\n",
       " 'Obsidian Entertainment',\n",
       " 'Cat Daddy Games',\n",
       " 'Digital Eclipse',\n",
       " 'CD Projekt Red Studio',\n",
       " 'Ubisoft, Ubisoft Montreal',\n",
       " 'Visual Concepts',\n",
       " 'Evolution Studios',\n",
       " 'KCET',\n",
       " 'SCEA, Zindagi Games',\n",
       " 'Nintendo, Namco Bandai Games',\n",
       " 'Massive Entertainment',\n",
       " 'Maxis',\n",
       " 'Argonaut Games',\n",
       " 'TOSE',\n",
       " 'Zipper Interactive',\n",
       " 'Pandemic Studios',\n",
       " 'Fox Interactive',\n",
       " 'Office Create',\n",
       " 'Team Soho',\n",
       " 'EA Redwood Shores',\n",
       " 'Certain Affinity',\n",
       " 'Agenda',\n",
       " 'Gearbox Software',\n",
       " 'Kojima Productions, Moby Dick Studio',\n",
       " 'Media Molecule',\n",
       " 'Eurocom Entertainment Software',\n",
       " 'Ubisoft Quebec',\n",
       " 'Double Helix Games',\n",
       " 'Rockstar Toronto',\n",
       " 'EA Games',\n",
       " 'Splash Damage, The Coalition',\n",
       " 'Luxoflux, Inc.',\n",
       " 'Shiny Entertainment',\n",
       " 'Team Bondi',\n",
       " '1st Playable Productions',\n",
       " 'Dimps Corporation, Sonic Team',\n",
       " 'Indies Zero',\n",
       " '4J Studios',\n",
       " 'BioWare',\n",
       " 'Dimps Corporation',\n",
       " 'Quantic Dream',\n",
       " 'Volition Inc.',\n",
       " 'Guerrilla',\n",
       " 'Junction Point',\n",
       " 'Spike, Namco Bandai Games',\n",
       " 'LucasArts, BioWare',\n",
       " 'Monolith Productions',\n",
       " 'Sonic Team',\n",
       " 'Io Interactive',\n",
       " 'Respawn Entertainment',\n",
       " 'Sucker Punch',\n",
       " 'Sumo Digital',\n",
       " 'Clap Hanz',\n",
       " 'OfficeCreate',\n",
       " 'Spark Unlimited',\n",
       " 'NetherRealm Studios',\n",
       " 'Irrational Games, 2K Marin',\n",
       " 'Majesco Games, Majesco',\n",
       " 'EA DICE, Danger Close',\n",
       " 'Virtual Toys',\n",
       " 'NuFX',\n",
       " 'Criterion Games',\n",
       " 'Toys for Bob',\n",
       " 'Warner Bros. Interactive Entertainment, NetherRealm Studios',\n",
       " 'Edge of Reality',\n",
       " 'LucasArts',\n",
       " 'Artoon',\n",
       " 'Namco Bandai Games',\n",
       " 'Dreamworks Interactive',\n",
       " 'Big Blue Box',\n",
       " 'DC Studios',\n",
       " 'Ubisoft Shanghai',\n",
       " 'Slightly Mad Studios',\n",
       " 'Team Fusion',\n",
       " 'Angel Studios',\n",
       " 'Ensemble Studios',\n",
       " 'Dice, Danger Close',\n",
       " 'syn Sophia',\n",
       " \"Yuke's\",\n",
       " 'Genius Sonority Inc.',\n",
       " 'Acclaim Studios Cheltenham',\n",
       " 'Headstrong Games',\n",
       " 'CAProduction',\n",
       " 'Raven Software',\n",
       " 'Midway',\n",
       " 'From Software',\n",
       " 'Black Rock Studio',\n",
       " 'Cyan Worlds',\n",
       " 'THQ',\n",
       " 'Rainbow Studios',\n",
       " 'Black Box',\n",
       " 'Bullfrog Productions',\n",
       " 'Konami Computer Entertainment Hawaii',\n",
       " 'Techland',\n",
       " 'Heavy Iron Studios',\n",
       " 'Frontier Developments',\n",
       " 'GREZZO',\n",
       " 'Rare Ltd., BigPark',\n",
       " 'ArenaNet',\n",
       " 'WB Games Montreal',\n",
       " 'HAL Labs, Creatures Inc.',\n",
       " 'Backbone Entertainment',\n",
       " 'Sega',\n",
       " 'Exakt',\n",
       " 'TT Games',\n",
       " '2K Marin',\n",
       " '5TH Cell',\n",
       " 'Beenox',\n",
       " 'Amaze Entertainment',\n",
       " 'Bizarre Creations',\n",
       " 'Omega Force',\n",
       " 'Visceral Games',\n",
       " 'Blue Planet Software',\n",
       " 'Matrix Software',\n",
       " 'Full Fat',\n",
       " 'Helixe',\n",
       " 'EA Vancouver',\n",
       " 'Ubisoft Montpellier',\n",
       " 'ChunSoft',\n",
       " 'Midway Studios - San Diego',\n",
       " 'Acquire',\n",
       " 'h.a.n.d. Inc.',\n",
       " 'Ghost Games',\n",
       " 'Check Six Games',\n",
       " 'PLAYGROUND, Playground Games',\n",
       " 'Aki Corp.',\n",
       " 'Flagship, HAL Labs',\n",
       " 'Jellyvision',\n",
       " 'Art',\n",
       " 'Irrational Games',\n",
       " 'Nintendo, Nd Cube',\n",
       " 'NanaOn-Sha',\n",
       " 'Factor 5',\n",
       " 'Papaya Studios',\n",
       " 'SCEI',\n",
       " 'Krome Studios',\n",
       " 'Avalanche Studios',\n",
       " 'Jupiter Corporation',\n",
       " 'Rockstar Studios',\n",
       " 'Altron',\n",
       " 'Creative Assembly',\n",
       " 'Sega AM2',\n",
       " 'Hangar 13',\n",
       " 'BudCat',\n",
       " 'Tango Gameworks',\n",
       " 'SCEE London Studio',\n",
       " 'Genuine Games',\n",
       " 'Team Ninja',\n",
       " 'Camelot Software Planning',\n",
       " 'Red Storm Entertainment',\n",
       " 'VIS Entertainment',\n",
       " 'Realtime Worlds',\n",
       " 'Monolith Soft',\n",
       " 'Terminal Reality',\n",
       " 'Ready at Dawn, SCE Santa Monica',\n",
       " 'SCE Japan Studio',\n",
       " 'ArtePiazza',\n",
       " 'Ubisoft Reflections, Ivory Tower',\n",
       " 'Tri-Ace',\n",
       " 'Arkane Studios',\n",
       " '3d6 Games',\n",
       " 'Magic Pockets',\n",
       " 'Artefacts Studio',\n",
       " 'Hello Games',\n",
       " 'Activision',\n",
       " 'Griptonite Games',\n",
       " 'Webfoot Technologies',\n",
       " 'Farsight Studios',\n",
       " 'Firaxis Games',\n",
       " 'Bandai Namco Games',\n",
       " 'Rebellion',\n",
       " 'Shaba Games',\n",
       " 'Artificial Mind and Movement',\n",
       " 'Paradigm Entertainment',\n",
       " 'EA Chicago',\n",
       " 'SuperMassive Games',\n",
       " 'HB Studios Multimedia',\n",
       " 'EA Sports Big',\n",
       " 'Spike',\n",
       " 'Ninja Theory',\n",
       " 'EA Montreal',\n",
       " 'id Software',\n",
       " 'Avalanche Software',\n",
       " 'Capcom Vancouver',\n",
       " 'Pivotal Games',\n",
       " 'MachineGames',\n",
       " '2K Czech',\n",
       " 'Mind Candy',\n",
       " 'Naughty Dog, Sony Bend',\n",
       " 'Cavia Inc.',\n",
       " 'The Code Monkeys',\n",
       " 'Amusement Vision',\n",
       " 'Genius Sonority Inc., Disney Interactive Studios',\n",
       " 'Sports Interactive',\n",
       " 'Genki',\n",
       " 'Blue Castle Games',\n",
       " 'Barking Lizards',\n",
       " 'Zoe Mode',\n",
       " 'Kush Games',\n",
       " 'Nihilistic',\n",
       " 'WayForward',\n",
       " 'Kaos Studios',\n",
       " 'Hellbent Games',\n",
       " 'Blitz Games',\n",
       " 'BigPark',\n",
       " 'Planet Moon Studios',\n",
       " 'Blue Byte, Related Designs',\n",
       " 'EA Bright Light',\n",
       " 'Digital Extremes, 2K Marin',\n",
       " 'Sand Grain Studios',\n",
       " 'Flagship',\n",
       " 'PlatinumGames',\n",
       " 'Danger Close',\n",
       " 'Barnstorm Games',\n",
       " 'Incognito Inc.',\n",
       " 'Exient Entertainment',\n",
       " 'Codemasters',\n",
       " 'Playground Games',\n",
       " 'Arzest',\n",
       " 'Crytek',\n",
       " 'Crystal Dynamics',\n",
       " 'Sega, Sonic Team',\n",
       " 'Z-Axis, Ltd.',\n",
       " 'Now Production',\n",
       " 'Eidos Montreal',\n",
       " 'Square Enix, Think and Feel',\n",
       " 'The Coalition',\n",
       " 'Pitbull Syndicate',\n",
       " 'Codemasters Birmingham',\n",
       " 'Rockstar Vienna',\n",
       " 'Remedy Entertainment',\n",
       " 'Steel Monkeys',\n",
       " 'Acclaim',\n",
       " 'Radical Entertainment',\n",
       " 'Good-Feel',\n",
       " 'SCEA',\n",
       " 'Namco Bandai Games America, Namco Bandai Games',\n",
       " 'Creatures Inc.',\n",
       " 'Pocket Studios',\n",
       " 'M2',\n",
       " 'Melbourne House',\n",
       " 'Ubisoft Sofia',\n",
       " 'ZeniMax Media',\n",
       " 'Snowblind Studios',\n",
       " 'Lexis Numerique, Virtual Toys',\n",
       " 'Opus, Project Sora',\n",
       " 'Nintendo, Spike Chunsoft',\n",
       " 'CyberConnect2',\n",
       " '3G Studios',\n",
       " 'Tamsoft',\n",
       " \"THQ, Yuke's\",\n",
       " 'Virtuos',\n",
       " 'Nixxes Software',\n",
       " 'Slant Six',\n",
       " 'Tarsier Studios, Double Eleven',\n",
       " 'Spike Chunsoft Co. Ltd., Spike Chunsoft',\n",
       " 'Chris Sawyer',\n",
       " '49Games',\n",
       " 'Oddworld Inhabitants',\n",
       " 'High Voltage Software',\n",
       " 'neo Software',\n",
       " 'Savage Entertainment',\n",
       " 'Nex Entertainment',\n",
       " 'Surreal Software',\n",
       " 'Climax Group',\n",
       " 'Locomotive Games',\n",
       " 'Nintendo, Nintendo Software Technology',\n",
       " 'Omega Force, Tecmo Koei Games',\n",
       " 'Light Weight',\n",
       " 'City Interactive',\n",
       " 'Vingt-et-un Systems',\n",
       " 'K2 LLC',\n",
       " 'Ambrella',\n",
       " 'Day 1 Studios',\n",
       " 'Level 5, Brownie Brown',\n",
       " 'United Front Games',\n",
       " 'Ryu ga Gotoku Studios',\n",
       " 'Atlus',\n",
       " 'Ruffian Games',\n",
       " 'Mercury Steam',\n",
       " 'MTO',\n",
       " 'EA Redwood Shores, EA Salt Lake',\n",
       " 'Sony Online Entertainment',\n",
       " 'Big Sky Software',\n",
       " 'Visual Impact',\n",
       " 'Ubisoft Shanghai/Paris',\n",
       " 'PopCap',\n",
       " 'Electronic Arts, Rebellion',\n",
       " 'SCEE',\n",
       " 'Page 44 Studios',\n",
       " 'FreeStyleGames',\n",
       " 'Mad Doc Software, Rockstar Vancouver',\n",
       " 'Blizzard North',\n",
       " 'Arika',\n",
       " 'Barnhouse Effect',\n",
       " 'Vigil Games',\n",
       " 'n-Space',\n",
       " 'Black Lantern Studios',\n",
       " 'Microsoft Game Studios',\n",
       " 'Sega AM3',\n",
       " 'Tecmo',\n",
       " '8ing/Raizing',\n",
       " 'Electronic Arts, EA Redwood Shores',\n",
       " 'Splash Damage',\n",
       " 'Studio Liverpool',\n",
       " 'Red Storm Entertainment, Ubisoft Paris',\n",
       " 'Tantalus Interactive, Tantatus, Nintendo',\n",
       " 'Crystal Dynamics, Nixxes Software',\n",
       " 'Avanquest Software',\n",
       " 'Bigbig Studios',\n",
       " 'EA Salt Lake',\n",
       " 'Longtail Studios',\n",
       " 'Powerhead Games',\n",
       " 'Epic Games, People Can Fly',\n",
       " 'Sega, Dimps Corporation',\n",
       " 'Koei',\n",
       " 'Hyde',\n",
       " 'Project Aces',\n",
       " 'Team Ninja, Tecmo',\n",
       " 'Razorworks Studios',\n",
       " '989 Sports',\n",
       " 'UBlart Montpellier',\n",
       " 'Free Radical Design',\n",
       " 'DreamFactory',\n",
       " 'Incinerator Games',\n",
       " 'Route 1 Games',\n",
       " 'Rockstar London',\n",
       " 'Ubisoft Toronto',\n",
       " 'Double Fine Productions',\n",
       " 'Turtle Rock Studios',\n",
       " 'Giants Software',\n",
       " 'Vicarious Visions, Neversoft Entertainment',\n",
       " 'Blue Tongue Entertainment',\n",
       " 'Overworks',\n",
       " 'Monster Games Inc.',\n",
       " 'Atari',\n",
       " 'Coresoft',\n",
       " 'SuperBot Entertainment',\n",
       " 'Ubisoft Reflections',\n",
       " 'Monkey Bar Games',\n",
       " 'Alfa System',\n",
       " 'Buzz Monkey',\n",
       " 'Rockstar Vancouver',\n",
       " 'SCEA San Diego Studios',\n",
       " 'Neko Entertainment',\n",
       " 'Square Enix, h.a.n.d. Inc.',\n",
       " 'UDS',\n",
       " 'KCE Studios',\n",
       " 'Titus Software',\n",
       " 'Black Ops Entertainment',\n",
       " 'ImaginEngine',\n",
       " 'Tantalus Interactive',\n",
       " 'Mistwalker, Artoon',\n",
       " 'Marvelous AQL',\n",
       " 'Xpec',\n",
       " 'Mistwalker',\n",
       " 'Blitz Games Studios',\n",
       " 'KCEK',\n",
       " 'Sony Bend',\n",
       " 'RED Entertainment',\n",
       " 'FASA Studio',\n",
       " 'Runecraft',\n",
       " 'Big Huge Games',\n",
       " 'Media Molecule, United Front Games',\n",
       " 'SCi',\n",
       " 'Cooking Mama Limited',\n",
       " 'Disney Interactive Studios',\n",
       " 'Red Fly Studio',\n",
       " 'Cygames',\n",
       " 'Rage Software',\n",
       " 'Toolbox Design',\n",
       " 'Team 17',\n",
       " 'Dimps Corporation, Namco Bandai Games',\n",
       " 'Land Ho!',\n",
       " 'Asobo Studio',\n",
       " 'Eutechnyx',\n",
       " 'Gearbox Software, 3D Realms',\n",
       " 'Digital Anvil',\n",
       " 'Treyarch, Sledgehammer Games',\n",
       " 'Marvelous Entertainment',\n",
       " 'EA Seattle',\n",
       " 'Big Blue Bubble Inc.',\n",
       " 'Indie Built',\n",
       " 'Ludia Inc.',\n",
       " 'Evolution Games',\n",
       " 'Atlus Co.',\n",
       " 'Capcom, Pipeworks Software, Inc.',\n",
       " 'Gevo Entertainment',\n",
       " 'Gorilla Systems',\n",
       " 'Guerilla Cambridge',\n",
       " 'Marvelous',\n",
       " 'Gorilla Games',\n",
       " 'Deibus Studios',\n",
       " 'Square Enix, Tri-Ace',\n",
       " 'Novarama',\n",
       " 'Sumo Digital, Playground Games',\n",
       " 'Trilobyte',\n",
       " 'Silicon Knights',\n",
       " 'Digital Illusions',\n",
       " 'Kush Games, Visual Concepts',\n",
       " 'iNiS',\n",
       " 'EA Canada, Nihilistic',\n",
       " 'Eden Studios',\n",
       " 'David A. Palmer Productions',\n",
       " 'Artificial Mind and Movement, Polygon Magic',\n",
       " 'Acclaim Studios Austin',\n",
       " 'Tetris Online, Inc',\n",
       " 'Dancing Dots',\n",
       " 'Piranha Games',\n",
       " 'LucasArts, Red Fly Studio',\n",
       " 'Game Republic',\n",
       " 'Project Soul',\n",
       " 'Kouyousha',\n",
       " 'Propaganda Games',\n",
       " 'JGI Entertainment',\n",
       " 'Digital Extremes',\n",
       " 'Brownie Brown',\n",
       " 'Natsume',\n",
       " 'Arc System Works',\n",
       " 'Takara',\n",
       " 'CyberConnect2, Racjin',\n",
       " 'Dearsoft',\n",
       " 'Paradox Development',\n",
       " '2K Australia',\n",
       " 'Realism Ltd',\n",
       " 'Bandai',\n",
       " 'Human Soft',\n",
       " 'Jester Interactive',\n",
       " 'Equinoxe',\n",
       " 'Pacific Coast Power & Light',\n",
       " 'Koei, Omega Force',\n",
       " 'id Software, Nerve Software',\n",
       " 'Eighting, Genius Sonority Inc.',\n",
       " 'Reality Pump',\n",
       " 'Virtucraft',\n",
       " 'Illusion Softworks',\n",
       " 'SCEA, Sims',\n",
       " 'Kalypso',\n",
       " 'Midway Studios - Los Angeles',\n",
       " 'Ubisoft Milan',\n",
       " 'Fuse Games Limited',\n",
       " 'Pyramid',\n",
       " 'Hypnos Entertainment',\n",
       " 'Black Isle Studios',\n",
       " 'Gaijin Entertainment',\n",
       " 'Eden',\n",
       " 'Blue Fang Games',\n",
       " 'Sanzaru Games',\n",
       " 'Tomy Corporation',\n",
       " 'Secret Level',\n",
       " 'Nerve Software',\n",
       " 'Trion Worlds',\n",
       " 'BioWare, Demiurge Studios',\n",
       " 'Engine Software',\n",
       " 'RED Entertainment, Artdink',\n",
       " 'Cunning Developments',\n",
       " 'Starbreeze',\n",
       " 'Delphine Software International',\n",
       " 'Gameloft',\n",
       " 'Grasshopper Manufacture',\n",
       " 'Shift, Bandai Namco Games',\n",
       " 'Dimps Corporation, SCE Japan Studio',\n",
       " 'Krome Studios, Screenlife Games',\n",
       " 'Suzak',\n",
       " 'Iron Galaxy Studios',\n",
       " 'GenePool',\n",
       " 'Ubisoft Casablanca',\n",
       " 'Epicenter Studios',\n",
       " 'KCEA',\n",
       " 'Adrenium',\n",
       " 'Juice Games',\n",
       " 'id Software, Raven Software',\n",
       " 'SEGA Racing Studio',\n",
       " 'Clover Studio',\n",
       " 'SuperVillain Studios',\n",
       " 'EA Sports, EA Canada',\n",
       " 'MagicWand',\n",
       " 'Media Vision, Contrail',\n",
       " 'Paon Corporation',\n",
       " 'Lab Rats Games',\n",
       " 'Vicious Cycle',\n",
       " 'Cinegroupe',\n",
       " 'High Impact Games',\n",
       " 'Skyworks Technologies',\n",
       " 'Robomodo',\n",
       " 'Ascaron Entertainment GmbH, Ascaron Entertainment',\n",
       " '2K Sports',\n",
       " 'FUN Labs',\n",
       " 'Appaloosa Interactive',\n",
       " 'Vanillaware',\n",
       " 'Endemol',\n",
       " 'Dreamworks Games',\n",
       " 'Atomic Planet Entertainment',\n",
       " 'Coldwood Interactive',\n",
       " 'Valuewave Co.,Ltd.',\n",
       " 'Pam Development',\n",
       " 'Ubisoft Romania',\n",
       " 'Spicy Horse',\n",
       " 'Overkill Software',\n",
       " 'Midway Studios - Austin',\n",
       " 'Bunkasha Publishing',\n",
       " 'Nippon Ichi Software',\n",
       " 'Neverland',\n",
       " 'Silicon Studio',\n",
       " 'Namco Bandai Games, Bandai Namco Games',\n",
       " 'Vanilla Ware',\n",
       " 'Full-Fat',\n",
       " 'Etranges Libellules',\n",
       " 'Relic',\n",
       " 'Collision Studios',\n",
       " 'Anchor',\n",
       " 'Racjin',\n",
       " 'Magenta Software',\n",
       " 'Awesome Studios',\n",
       " 'Behaviour Interactive',\n",
       " 'Pipe Dream Interactive',\n",
       " 'Bullets',\n",
       " 'Aspect',\n",
       " 'Deep Space',\n",
       " 'Inti',\n",
       " 'Bam Entertainment',\n",
       " 'THQ Digital Studio Phoenix',\n",
       " 'Brain Toys',\n",
       " 'Hothouse Creations',\n",
       " 'Nuevo Retro Games',\n",
       " 'Digital Kids',\n",
       " 'Yager',\n",
       " 'Omega Force, Koei Tecmo Games',\n",
       " '4A Games',\n",
       " 'Cing',\n",
       " 'WXP',\n",
       " 'Cerasus Media',\n",
       " 'Inevitable Entertainment',\n",
       " 'Destineer',\n",
       " 'Eighting',\n",
       " 'SCEA Sports Studio',\n",
       " 'Keen Games',\n",
       " 'Storm City Games',\n",
       " 'ValuSoft',\n",
       " 'High Voltage Software, Ubisoft Paris',\n",
       " 'GRIN',\n",
       " 'Q-Games',\n",
       " 'Raster',\n",
       " 'Vivarium',\n",
       " 'VU Games',\n",
       " 'Machatin, Inc.',\n",
       " 'Point of View',\n",
       " 'City Interactive, Deck 13',\n",
       " 'T&E Soft',\n",
       " 'Climax Group, Climax Studios',\n",
       " 'HexaDrive',\n",
       " 'Jupiter Corporation, Jupiter Multimedia',\n",
       " 'Blade Interactive',\n",
       " 'Factor 5, SCE/WWS',\n",
       " 'SCE Japan Studio, comcept',\n",
       " 'WBIE',\n",
       " 'Warthog',\n",
       " 'AWE Games',\n",
       " 'Contraband Entertainment',\n",
       " 'Eugen Systems',\n",
       " 'Quest',\n",
       " 'Kuusou Kagaku',\n",
       " 'HandMade Game',\n",
       " '7 Studios',\n",
       " 'Blue Tongue',\n",
       " 'SCS Software',\n",
       " 'Humongous Entertainment',\n",
       " 'Pocketeers',\n",
       " 'Harmonix Music Systems, Backbone Entertainment',\n",
       " 'Scholastic, Inc.',\n",
       " 'Screenlife Games, WXP',\n",
       " 'Totally Games',\n",
       " 'Ratbag',\n",
       " 'SCEJ',\n",
       " 'Razorworks',\n",
       " 'New',\n",
       " 'Beyond Games',\n",
       " 'Teyon',\n",
       " 'Ubisoft Barcelona, Ubisoft Reflections',\n",
       " 'Eurocom Entertainment Software, Visceral Games',\n",
       " 'Nintendo, Headstrong Games',\n",
       " \"Shin'en\",\n",
       " 'Creations',\n",
       " 'Crave',\n",
       " 'Vatra',\n",
       " 'Treasure',\n",
       " 'Human Soft, Ivolgamus',\n",
       " 'Eighting/Raizing',\n",
       " '505 Games',\n",
       " 'Studio Gigante',\n",
       " 'Wideload Games Inc.',\n",
       " 'Farsight Studios, Crave',\n",
       " 'Computer Artworks',\n",
       " 'Saffire',\n",
       " 'Nintendo, Camelot Software Planning',\n",
       " 'Team 17, Two Tribes',\n",
       " 'Square Enix, TOSE',\n",
       " 'Kuju Entertainment',\n",
       " 'Humagade',\n",
       " 'Q Entertainment',\n",
       " 'Tri-Crescendo',\n",
       " 'Tenyo',\n",
       " 'LucasArts, Krome Studios',\n",
       " 'Idea Factory, Compile Heart',\n",
       " 'Kamui',\n",
       " 'Ubisoft, Sensory Sweep',\n",
       " 'War Drum Studios',\n",
       " 'TOYBOX',\n",
       " 'Sunrise Interactive',\n",
       " 'Hijinx Studios',\n",
       " 'Game Machine Studios',\n",
       " 'Mastiff',\n",
       " 'Gust',\n",
       " 'Ritual Entertainment, Avalanche Software',\n",
       " 'D3Publisher',\n",
       " 'Psygnosis',\n",
       " 'Armature Studio',\n",
       " 'RedLynx',\n",
       " 'Creat Studios',\n",
       " 'Phoenix Games Studio',\n",
       " 'Nintendo, Intelligent Systems',\n",
       " 'Telegames',\n",
       " 'Bluehole Studio',\n",
       " 'Spike Chunsoft',\n",
       " 'Red Storm Entertainment, Ubisoft Montreal',\n",
       " 'Saber Interactive',\n",
       " 'Idol Minds',\n",
       " 'Maximum Games',\n",
       " 'Knowledge Adventure Inc.',\n",
       " 'Harmonix Music Systems, Demiurge Studios',\n",
       " 'Shift',\n",
       " 'Torus Games',\n",
       " 'Triumph Studios',\n",
       " 'DONTNOD Entertainment',\n",
       " 'Twisted Pixel Games',\n",
       " 'Zoo Games',\n",
       " 'Zen Studios',\n",
       " 'Victor Interactive Software',\n",
       " 'Frogwares, Mistic Software',\n",
       " 'Firebrand Games',\n",
       " 'Prope',\n",
       " 'Wow Entertainment',\n",
       " 'Monolith Soft, Banpresto',\n",
       " 'Sega Studios San Francisco',\n",
       " 'Ganbarion',\n",
       " 'Milestone S.r.l',\n",
       " 'Red Tribe',\n",
       " 'Red Zone Entertainment',\n",
       " 'Amuze',\n",
       " 'Uacari',\n",
       " 'Bugbear',\n",
       " 'Cyberlore Studios',\n",
       " 'Lightning Fish Games',\n",
       " 'Crafts & Meister',\n",
       " 'Open Sesame',\n",
       " '3DO',\n",
       " 'Blueside',\n",
       " 'Arcade Moon',\n",
       " 'Noise Inc.',\n",
       " '2K Games',\n",
       " 'Psyonix',\n",
       " 'Playbox Limited',\n",
       " 'Takara Tomy',\n",
       " 'KCEO',\n",
       " 'Zombie Studios',\n",
       " 'Bandai Namco Games, Artdink',\n",
       " 'Pax Softonica',\n",
       " 'Zener Works',\n",
       " 'RED Entertainment, Spike Chunsoft',\n",
       " 'Cattle Call',\n",
       " 'Inland Productions',\n",
       " 'Take-Two Interactive',\n",
       " 'CokeM Interactive',\n",
       " 'ITL',\n",
       " 'Sandlot',\n",
       " 'Hypnotix',\n",
       " 'Vir2L Studios',\n",
       " 'Airtight Games',\n",
       " 'Deep Silver Dambuster Studios',\n",
       " 'WildTangent',\n",
       " 'Destination Software',\n",
       " 'Brash Entertainment',\n",
       " 'Haemimont',\n",
       " 'High Voltage Software, Backbone Entertainment',\n",
       " 'Nadeo',\n",
       " 'Impulse Games',\n",
       " 'Sennari Interactive',\n",
       " 'Gas Powered Games',\n",
       " 'Tantatus',\n",
       " 'Starfish',\n",
       " 'Buena Vista Interactive',\n",
       " 'Cohort Studios',\n",
       " 'Ubisoft, Powerhead Games',\n",
       " 'EA Canada, EA Vancouver',\n",
       " 'Inti Creates',\n",
       " 'Fizz Factor',\n",
       " 'Ion Storm',\n",
       " 'SNK Playmore',\n",
       " 'Smart Bomb Interactive',\n",
       " 'Amaze Entertainment, Griptonite Games',\n",
       " 'SunSoft',\n",
       " 'Lancarse, Atlus',\n",
       " 'Capcom, Klein Computer Entertainment',\n",
       " 'Terminal Reality, 4mm Games',\n",
       " 'AI',\n",
       " 'Eidos Interactive',\n",
       " 'Smack Down Productions',\n",
       " 'Nobilis',\n",
       " 'Polygon Magic',\n",
       " 'Buzz Monkey, EA Montreal',\n",
       " 'Atlus, Dingo Inc.',\n",
       " 'Opus',\n",
       " 'Venom Games',\n",
       " 'Game Republic, JapanStudio',\n",
       " 'CodeFire',\n",
       " 'Phantagram',\n",
       " 'Mercury Steam, Alchemic Productions',\n",
       " 'SScholastic Media',\n",
       " 'Access Games',\n",
       " 'Image Epoch, Imageepoch',\n",
       " 'Human Head Studios',\n",
       " 'Big Red Button Entertainment',\n",
       " 'Blue Byte',\n",
       " 'Wildfire Studios',\n",
       " 'MumboJumbo',\n",
       " 'Sidhe Interactive',\n",
       " 'Inti, Inti Creates',\n",
       " 'Magix',\n",
       " 'Mucky Foot Productions',\n",
       " 'Denyu-Sha',\n",
       " 'Ronin Entertainment',\n",
       " 'Disney Interactive',\n",
       " 'Artdink',\n",
       " 'Shade',\n",
       " 'Prolific',\n",
       " 'SCE Studio Cambridge',\n",
       " 'Sinister Games',\n",
       " 'Banpresto, SoftMax',\n",
       " 'Mahou',\n",
       " 'Graphic State',\n",
       " 'Wizarbox',\n",
       " 'Hyperspace Cowgirls',\n",
       " 'Related Designs',\n",
       " 'The Workshop',\n",
       " 'Neversoft Entertainment, Underground Development',\n",
       " 'Simon & Schuster',\n",
       " 'Banpresto',\n",
       " 'DoubleTap Games',\n",
       " 'Mistic Software',\n",
       " 'IR Gurus',\n",
       " 'LightBox Interactive',\n",
       " 'Akella',\n",
       " 'Game Brains',\n",
       " 'Circus Freak',\n",
       " 'Infinite Interactive',\n",
       " 'Wargaming.net',\n",
       " 'Game Titan',\n",
       " 'Sacnoth',\n",
       " 'Cave',\n",
       " 'Sanuk Games',\n",
       " 'Just Add Monsters',\n",
       " 'Sims',\n",
       " 'Volatile Games',\n",
       " 'Media Vision',\n",
       " 'Ignition Entertainment',\n",
       " 'Zindagi Games',\n",
       " 'Zoom',\n",
       " 'Sensory Sweep',\n",
       " 'Telltale Games',\n",
       " 'Sega Toys',\n",
       " 'Presto Studios',\n",
       " 'Ornith',\n",
       " 'Zoe Mode, HB Studios Multimedia',\n",
       " 'Activision, FreeStyleGames',\n",
       " 'Attention To Detail',\n",
       " 'Crawfish Interactive',\n",
       " 'Rockstar Toronto, Rockstar Leeds',\n",
       " 'HotGen',\n",
       " 'Amble',\n",
       " 'Gusto Games',\n",
       " 'GameMill Publishing, 1st Playable Productions',\n",
       " 'The Learning Company',\n",
       " 'Mac Play, MacPlay',\n",
       " 'Ubisoft Vancouver',\n",
       " 'Majesco Games',\n",
       " 'TimeGate Studios',\n",
       " 'Pacific Century Cyber Works',\n",
       " 'LDW, Big Fish Games',\n",
       " 'Rocksteady Studios, Virtuos',\n",
       " 'Smilebit',\n",
       " 'Blue Shift',\n",
       " 'Rovio Mobile, Rovio Entertainment',\n",
       " 'Metro',\n",
       " 'iWin',\n",
       " 'Treyarch, Shaba Games',\n",
       " 'Prokion',\n",
       " '2K Shanghai',\n",
       " 'Artech Studios',\n",
       " \"Crispy's\",\n",
       " 'Left Field Productions',\n",
       " 'Mitchell',\n",
       " 'Activision Value',\n",
       " 'Cyanide, Cyanide Studios',\n",
       " 'AQ Interactive',\n",
       " 'Starfish SD',\n",
       " 'FuRyu',\n",
       " 'Sony Interactive Entertainment',\n",
       " 'InXile Entertainment',\n",
       " '2015',\n",
       " 'Tornado Studios',\n",
       " 'Stainless Games',\n",
       " 'ZootFly',\n",
       " 'Empire Interactive',\n",
       " 'Southend Interactive',\n",
       " 'Amaze',\n",
       " \"Y's K\",\n",
       " 'Data Design Interactive',\n",
       " 'Bec',\n",
       " 'Io Interactive, Nixxes Software',\n",
       " 'Handheld Games',\n",
       " 'Tamsoft, D3Publisher',\n",
       " 'Falcom',\n",
       " 'Metro Graphics',\n",
       " 'Lucky Chicken',\n",
       " 'Matrix Software, Marvelous Entertainment',\n",
       " 'Nautilus',\n",
       " 'Hasbro Interactive',\n",
       " 'Frogwares',\n",
       " 'Oxygen Interactive',\n",
       " 'Revolution Software',\n",
       " 'Larian Studios',\n",
       " 'Blueshift',\n",
       " 'Compile Heart',\n",
       " 'SolWorks',\n",
       " 'Magic Pixel Games',\n",
       " 'Gratuitous Games',\n",
       " 'Sanrio Digital',\n",
       " 'Griffin International',\n",
       " 'K2',\n",
       " 'Hudson, NATSUME ATARI Inc.',\n",
       " 'Jet Black Games',\n",
       " 'Bits Studios',\n",
       " 'Piranha Bytes',\n",
       " 'Alphadream Corporation',\n",
       " 'Tecmo Koei Games',\n",
       " 'Phoenix Interactive Entertainment',\n",
       " 'Tecmo, Ntreev Soft',\n",
       " 'Monumental Games',\n",
       " 'Climax Entertainment',\n",
       " 'Aspect, Takara Tomy',\n",
       " 'Secret Stash Games',\n",
       " 'GungHo',\n",
       " 'Beyond Reality',\n",
       " 'Fall Line Studio',\n",
       " 'SoftMax',\n",
       " 'Bit Town',\n",
       " 'Phoenix Entertainment',\n",
       " 'Career Soft',\n",
       " 'Ubisoft Sao Paulo',\n",
       " 'Stealth Studios',\n",
       " 'Mobius Entertainment',\n",
       " 'Pseudo Interactive',\n",
       " 'Rhino Studios',\n",
       " 'Ivory Tower',\n",
       " 'Backbone Vancouver',\n",
       " 'Irem',\n",
       " 'Kodiak Interactive',\n",
       " 'Digital Fiction',\n",
       " 'MASA Group',\n",
       " 'Classic Media Distribution Limited',\n",
       " 'Swordfish Studios',\n",
       " 'ThatGameCompany',\n",
       " 'Creative Patterns',\n",
       " 'Osiris Studios',\n",
       " 'Deep Silver, Sproing Interactive Media, Sproing',\n",
       " 'Gunnar Games',\n",
       " '2XL Games',\n",
       " 'Super X Studios',\n",
       " 'Jellyvision, Iron Galaxy Studios',\n",
       " 'Bongfish',\n",
       " 'Cranky Pants Games',\n",
       " 'Sun-Tec',\n",
       " 'Alpha Unit',\n",
       " 'Gimagin Games',\n",
       " 'Sanzaru Games, Sanzaru Games, Inc.',\n",
       " 'CCP',\n",
       " 'Hitmaker',\n",
       " 'SCEA, Think and Feel',\n",
       " 'MicroProse, n-Space',\n",
       " 'Studio Saizensen',\n",
       " 'Ubisoft Annecy',\n",
       " 'Pyro Studios',\n",
       " 'WideScreen Games',\n",
       " 'Gaming Minds Studios',\n",
       " 'Omega Force, Koei Canada',\n",
       " 'Aspyr',\n",
       " 'Cauldron Ltd.',\n",
       " 'Sega, Tom Create',\n",
       " 'Mad Catz',\n",
       " 'Examu',\n",
       " 'Merscom LLC',\n",
       " 'Vivendi Games',\n",
       " 'RFX Interactive',\n",
       " 'FeelPlus',\n",
       " 'Spiders',\n",
       " 'GCP1',\n",
       " 'Nordcurrent',\n",
       " 'Zono Inc.',\n",
       " 'Software Creations',\n",
       " 'Pixel Tales',\n",
       " 'Magic Rings',\n",
       " 'Artificial Mind and Movement, EA Redwood Shores',\n",
       " 'Santa Cruz Games',\n",
       " 'Seta Corporation',\n",
       " 'BottleRocket Entertainment',\n",
       " 'Skip Ltd.',\n",
       " 'SME Dynamic Systems Limited',\n",
       " 'Game Sauce',\n",
       " 'Cinemaware',\n",
       " 'Games Farm',\n",
       " 'Ubisoft, Ludia Inc.',\n",
       " 'Tecmo Koei Canada',\n",
       " ...]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df=videoReview\n",
    "df['Developer'].unique().tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(16719, 7)\n"
     ]
    },
    {
     "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>Name</th>\n",
       "      <th>Platform</th>\n",
       "      <th>Genre</th>\n",
       "      <th>Publisher</th>\n",
       "      <th>User_Score</th>\n",
       "      <th>Developer</th>\n",
       "      <th>Rating</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Wii Sports</td>\n",
       "      <td>Wii</td>\n",
       "      <td>Sports</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>8</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Super Mario Bros.</td>\n",
       "      <td>NES</td>\n",
       "      <td>Platform</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Mario Kart Wii</td>\n",
       "      <td>Wii</td>\n",
       "      <td>Racing</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>8.3</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Wii Sports Resort</td>\n",
       "      <td>Wii</td>\n",
       "      <td>Sports</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>8</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Pokemon Red/Pokemon Blue</td>\n",
       "      <td>GB</td>\n",
       "      <td>Role-Playing</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Tetris</td>\n",
       "      <td>GB</td>\n",
       "      <td>Puzzle</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>New Super Mario Bros.</td>\n",
       "      <td>DS</td>\n",
       "      <td>Platform</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>8.5</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Wii Play</td>\n",
       "      <td>Wii</td>\n",
       "      <td>Misc</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>6.6</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>New Super Mario Bros. Wii</td>\n",
       "      <td>Wii</td>\n",
       "      <td>Platform</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>8.4</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Duck Hunt</td>\n",
       "      <td>NES</td>\n",
       "      <td>Shooter</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        Name Platform         Genre Publisher User_Score  \\\n",
       "0                 Wii Sports      Wii        Sports  Nintendo          8   \n",
       "1          Super Mario Bros.      NES      Platform  Nintendo        NaN   \n",
       "2             Mario Kart Wii      Wii        Racing  Nintendo        8.3   \n",
       "3          Wii Sports Resort      Wii        Sports  Nintendo          8   \n",
       "4   Pokemon Red/Pokemon Blue       GB  Role-Playing  Nintendo        NaN   \n",
       "5                     Tetris       GB        Puzzle  Nintendo        NaN   \n",
       "6      New Super Mario Bros.       DS      Platform  Nintendo        8.5   \n",
       "7                   Wii Play      Wii          Misc  Nintendo        6.6   \n",
       "8  New Super Mario Bros. Wii      Wii      Platform  Nintendo        8.4   \n",
       "9                  Duck Hunt      NES       Shooter  Nintendo        NaN   \n",
       "\n",
       "  Developer Rating  \n",
       "0  Nintendo      E  \n",
       "1       NaN    NaN  \n",
       "2  Nintendo      E  \n",
       "3  Nintendo      E  \n",
       "4       NaN    NaN  \n",
       "5       NaN    NaN  \n",
       "6  Nintendo      E  \n",
       "7  Nintendo      E  \n",
       "8  Nintendo      E  \n",
       "9       NaN    NaN  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#We don’t want to work with all the data in these examples. \n",
    "#We just want to concentrate on the categorical variables. \n",
    "#Let’s us create a subset of the dataframe to contains these.\n",
    "df = videoReview.select_dtypes(include=['object']).copy()\n",
    "print(df.shape)\n",
    "df.head(10)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Name          0\n",
       "Platform      0\n",
       "Genre         0\n",
       "Publisher     0\n",
       "User_Score    0\n",
       "Developer     0\n",
       "Rating        0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Now do a little data clean up by removing NaN (nulls)\n",
    "df.dropna(inplace=True)\n",
    "df.isnull().sum()\n",
    "#NB: Before removing NaN records you could clean the data and replace these with other values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(9873, 7)\n"
     ]
    }
   ],
   "source": [
    "print(df.shape)\n",
    "#Our data set has been reduced by approx 7,000 records!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Question: After running all of this code, modify the above to do better replacement of NaN \n",
    "#          and see what impact that has."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Name</th>\n",
       "      <th>Platform</th>\n",
       "      <th>Genre</th>\n",
       "      <th>Publisher</th>\n",
       "      <th>User_Score</th>\n",
       "      <th>Developer</th>\n",
       "      <th>Rating</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>9873</td>\n",
       "      <td>9873</td>\n",
       "      <td>9873</td>\n",
       "      <td>9873</td>\n",
       "      <td>9873</td>\n",
       "      <td>9873</td>\n",
       "      <td>9873</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>6020</td>\n",
       "      <td>17</td>\n",
       "      <td>12</td>\n",
       "      <td>329</td>\n",
       "      <td>96</td>\n",
       "      <td>1656</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>Madden NFL 07</td>\n",
       "      <td>PS2</td>\n",
       "      <td>Action</td>\n",
       "      <td>Electronic Arts</td>\n",
       "      <td>tbd</td>\n",
       "      <td>Ubisoft</td>\n",
       "      <td>E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>9</td>\n",
       "      <td>1478</td>\n",
       "      <td>2177</td>\n",
       "      <td>1137</td>\n",
       "      <td>2374</td>\n",
       "      <td>204</td>\n",
       "      <td>3949</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Name Platform   Genre        Publisher User_Score Developer  \\\n",
       "count            9873     9873    9873             9873       9873      9873   \n",
       "unique           6020       17      12              329         96      1656   \n",
       "top     Madden NFL 07      PS2  Action  Electronic Arts        tbd   Ubisoft   \n",
       "freq                9     1478    2177             1137       2374       204   \n",
       "\n",
       "       Rating  \n",
       "count    9873  \n",
       "unique      8  \n",
       "top         E  \n",
       "freq     3949  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Output some summary statistics for the data\n",
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>unique</th>\n",
       "      <th>top</th>\n",
       "      <th>freq</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Name</th>\n",
       "      <td>9873</td>\n",
       "      <td>6020</td>\n",
       "      <td>Madden NFL 07</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Platform</th>\n",
       "      <td>9873</td>\n",
       "      <td>17</td>\n",
       "      <td>PS2</td>\n",
       "      <td>1478</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Genre</th>\n",
       "      <td>9873</td>\n",
       "      <td>12</td>\n",
       "      <td>Action</td>\n",
       "      <td>2177</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Publisher</th>\n",
       "      <td>9873</td>\n",
       "      <td>329</td>\n",
       "      <td>Electronic Arts</td>\n",
       "      <td>1137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>User_Score</th>\n",
       "      <td>9873</td>\n",
       "      <td>96</td>\n",
       "      <td>tbd</td>\n",
       "      <td>2374</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Developer</th>\n",
       "      <td>9873</td>\n",
       "      <td>1656</td>\n",
       "      <td>Ubisoft</td>\n",
       "      <td>204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rating</th>\n",
       "      <td>9873</td>\n",
       "      <td>8</td>\n",
       "      <td>E</td>\n",
       "      <td>3949</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           count unique              top  freq\n",
       "Name        9873   6020    Madden NFL 07     9\n",
       "Platform    9873     17              PS2  1478\n",
       "Genre       9873     12           Action  2177\n",
       "Publisher   9873    329  Electronic Arts  1137\n",
       "User_Score  9873     96              tbd  2374\n",
       "Developer   9873   1656          Ubisoft   204\n",
       "Rating      9873      8                E  3949"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#transpose it to display differently\n",
    "df.describe().transpose()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Rafael\\AppData\\Local\\Temp\\ipykernel_12008\\2529980833.py:11: FutureWarning: \n",
      "\n",
      "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
      "\n",
      "  sb.countplot(x='Platform',data=df, palette='hls')\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Platform', ylabel='count'>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#The above table shows the number of unique values in each of the variables. \n",
    "#We will use Platform, Genre and Rating for the variable example below.\n",
    "#Let's chart these variables.\n",
    "\n",
    "#check the number of occurances for each variable \n",
    "import seaborn as sb\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "plt.rcParams['figure.figsize'] = 10, 8\n",
    "\n",
    "sb.countplot(x='Platform',data=df, palette='hls')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Rafael\\AppData\\Local\\Temp\\ipykernel_12008\\3692153381.py:2: FutureWarning: \n",
      "\n",
      "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
      "\n",
      "  sb.countplot(x='Genre',data=df, palette='hls')\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Genre', ylabel='count'>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Now plot for Genre\n",
    "sb.countplot(x='Genre',data=df, palette='hls')\t\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Rafael\\AppData\\Local\\Temp\\ipykernel_12008\\3063120550.py:2: FutureWarning: \n",
      "\n",
      "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
      "\n",
      "  sb.countplot(x='Rating',data=df, palette='hls')\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Rating', ylabel='count'>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Now for Rating\n",
    "sb.countplot(x='Rating',data=df, palette='hls')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1-One-hot Coding\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Name_ Tales of Xillia 2</th>\n",
       "      <th>Name_.hack//Infection Part 1</th>\n",
       "      <th>Name_.hack//Mutation Part 2</th>\n",
       "      <th>Name_.hack//Outbreak Part 3</th>\n",
       "      <th>Name_007 Racing</th>\n",
       "      <th>Name_007: Quantum of Solace</th>\n",
       "      <th>Name_007: The World is not Enough</th>\n",
       "      <th>Name_1 vs. 100</th>\n",
       "      <th>Name_10 Minute Solution</th>\n",
       "      <th>Name_100 All-Time Favorites</th>\n",
       "      <th>...</th>\n",
       "      <th>Developer_syn Sophia</th>\n",
       "      <th>Developer_zSlide</th>\n",
       "      <th>Rating_AO</th>\n",
       "      <th>Rating_E</th>\n",
       "      <th>Rating_E10+</th>\n",
       "      <th>Rating_EC</th>\n",
       "      <th>Rating_K-A</th>\n",
       "      <th>Rating_M</th>\n",
       "      <th>Rating_RP</th>\n",
       "      <th>Rating_T</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>20 rows × 8138 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Name_ Tales of Xillia 2  Name_.hack//Infection Part 1  \\\n",
       "0                     False                         False   \n",
       "2                     False                         False   \n",
       "3                     False                         False   \n",
       "6                     False                         False   \n",
       "7                     False                         False   \n",
       "8                     False                         False   \n",
       "11                    False                         False   \n",
       "13                    False                         False   \n",
       "14                    False                         False   \n",
       "15                    False                         False   \n",
       "16                    False                         False   \n",
       "17                    False                         False   \n",
       "19                    False                         False   \n",
       "23                    False                         False   \n",
       "24                    False                         False   \n",
       "26                    False                         False   \n",
       "28                    False                         False   \n",
       "29                    False                         False   \n",
       "32                    False                         False   \n",
       "34                    False                         False   \n",
       "\n",
       "    Name_.hack//Mutation Part 2  Name_.hack//Outbreak Part 3  Name_007 Racing  \\\n",
       "0                         False                        False            False   \n",
       "2                         False                        False            False   \n",
       "3                         False                        False            False   \n",
       "6                         False                        False            False   \n",
       "7                         False                        False            False   \n",
       "8                         False                        False            False   \n",
       "11                        False                        False            False   \n",
       "13                        False                        False            False   \n",
       "14                        False                        False            False   \n",
       "15                        False                        False            False   \n",
       "16                        False                        False            False   \n",
       "17                        False                        False            False   \n",
       "19                        False                        False            False   \n",
       "23                        False                        False            False   \n",
       "24                        False                        False            False   \n",
       "26                        False                        False            False   \n",
       "28                        False                        False            False   \n",
       "29                        False                        False            False   \n",
       "32                        False                        False            False   \n",
       "34                        False                        False            False   \n",
       "\n",
       "    Name_007: Quantum of Solace  Name_007: The World is not Enough  \\\n",
       "0                         False                              False   \n",
       "2                         False                              False   \n",
       "3                         False                              False   \n",
       "6                         False                              False   \n",
       "7                         False                              False   \n",
       "8                         False                              False   \n",
       "11                        False                              False   \n",
       "13                        False                              False   \n",
       "14                        False                              False   \n",
       "15                        False                              False   \n",
       "16                        False                              False   \n",
       "17                        False                              False   \n",
       "19                        False                              False   \n",
       "23                        False                              False   \n",
       "24                        False                              False   \n",
       "26                        False                              False   \n",
       "28                        False                              False   \n",
       "29                        False                              False   \n",
       "32                        False                              False   \n",
       "34                        False                              False   \n",
       "\n",
       "    Name_1 vs. 100  Name_10 Minute Solution  Name_100 All-Time Favorites  ...  \\\n",
       "0            False                    False                        False  ...   \n",
       "2            False                    False                        False  ...   \n",
       "3            False                    False                        False  ...   \n",
       "6            False                    False                        False  ...   \n",
       "7            False                    False                        False  ...   \n",
       "8            False                    False                        False  ...   \n",
       "11           False                    False                        False  ...   \n",
       "13           False                    False                        False  ...   \n",
       "14           False                    False                        False  ...   \n",
       "15           False                    False                        False  ...   \n",
       "16           False                    False                        False  ...   \n",
       "17           False                    False                        False  ...   \n",
       "19           False                    False                        False  ...   \n",
       "23           False                    False                        False  ...   \n",
       "24           False                    False                        False  ...   \n",
       "26           False                    False                        False  ...   \n",
       "28           False                    False                        False  ...   \n",
       "29           False                    False                        False  ...   \n",
       "32           False                    False                        False  ...   \n",
       "34           False                    False                        False  ...   \n",
       "\n",
       "    Developer_syn Sophia  Developer_zSlide  Rating_AO  Rating_E  Rating_E10+  \\\n",
       "0                  False             False      False      True        False   \n",
       "2                  False             False      False      True        False   \n",
       "3                  False             False      False      True        False   \n",
       "6                  False             False      False      True        False   \n",
       "7                  False             False      False      True        False   \n",
       "8                  False             False      False      True        False   \n",
       "11                 False             False      False      True        False   \n",
       "13                 False             False      False      True        False   \n",
       "14                 False             False      False      True        False   \n",
       "15                 False             False      False      True        False   \n",
       "16                 False             False      False     False        False   \n",
       "17                 False             False      False     False        False   \n",
       "19                 False             False      False      True        False   \n",
       "23                 False             False      False     False        False   \n",
       "24                 False             False      False     False        False   \n",
       "26                 False             False      False      True        False   \n",
       "28                 False             False      False      True        False   \n",
       "29                 False             False      False     False        False   \n",
       "32                 False             False      False     False        False   \n",
       "34                 False             False      False     False        False   \n",
       "\n",
       "    Rating_EC  Rating_K-A  Rating_M  Rating_RP  Rating_T  \n",
       "0       False       False     False      False     False  \n",
       "2       False       False     False      False     False  \n",
       "3       False       False     False      False     False  \n",
       "6       False       False     False      False     False  \n",
       "7       False       False     False      False     False  \n",
       "8       False       False     False      False     False  \n",
       "11      False       False     False      False     False  \n",
       "13      False       False     False      False     False  \n",
       "14      False       False     False      False     False  \n",
       "15      False       False     False      False     False  \n",
       "16      False       False      True      False     False  \n",
       "17      False       False      True      False     False  \n",
       "19      False       False     False      False     False  \n",
       "23      False       False      True      False     False  \n",
       "24      False       False      True      False     False  \n",
       "26      False       False     False      False     False  \n",
       "28      False       False     False      False     False  \n",
       "29      False       False      True      False     False  \n",
       "32      False       False      True      False     False  \n",
       "34      False       False      True      False     False  \n",
       "\n",
       "[20 rows x 8138 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#The first approach is to use the commonly used one-hot coding method. \n",
    "#This will take a categorical variable and create a set of new variables corresponding \n",
    "#with each distinct value in the variable, and then populate it with a binary value to \n",
    "#indicate the original value.\n",
    "\n",
    "#apply one-hot-coding to all the categorical variables\n",
    "# and create a new dataframe to store the results\n",
    "\n",
    "df2 = pd.get_dummies(df)\n",
    "df2.head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(9873, 8138)"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As you can see we now have 8138 variables in the pandas dataframe!\n",
    "That is a lot and may not be workable for you. You may need to look at some feature reduction methods to reduce the number of variables."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2-Find and Replace - Manual Coding\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Rating\n",
       "E       3949\n",
       "T       2939\n",
       "M       1560\n",
       "E10+    1411\n",
       "EC         8\n",
       "K-A        3\n",
       "RP         2\n",
       "AO         1\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#In this example we will simple replace the values with defined values.\n",
    "#Let’s have a look at values in the Ratings variable and their frequencies.\n",
    "df['Rating'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Name</th>\n",
       "      <th>Platform</th>\n",
       "      <th>Year_of_Release</th>\n",
       "      <th>Genre</th>\n",
       "      <th>Publisher</th>\n",
       "      <th>NA_Sales</th>\n",
       "      <th>EU_Sales</th>\n",
       "      <th>JP_Sales</th>\n",
       "      <th>Other_Sales</th>\n",
       "      <th>Global_Sales</th>\n",
       "      <th>Critic_Score</th>\n",
       "      <th>Critic_Count</th>\n",
       "      <th>User_Score</th>\n",
       "      <th>User_Count</th>\n",
       "      <th>Developer</th>\n",
       "      <th>Rating</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Wii Sports</td>\n",
       "      <td>Wii</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>Sports</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>41.36</td>\n",
       "      <td>28.96</td>\n",
       "      <td>3.77</td>\n",
       "      <td>8.45</td>\n",
       "      <td>82.53</td>\n",
       "      <td>76.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>8</td>\n",
       "      <td>322.0</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Super Mario Bros.</td>\n",
       "      <td>NES</td>\n",
       "      <td>1985.0</td>\n",
       "      <td>Platform</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>29.08</td>\n",
       "      <td>3.58</td>\n",
       "      <td>6.81</td>\n",
       "      <td>0.77</td>\n",
       "      <td>40.24</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Mario Kart Wii</td>\n",
       "      <td>Wii</td>\n",
       "      <td>2008.0</td>\n",
       "      <td>Racing</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>15.68</td>\n",
       "      <td>12.76</td>\n",
       "      <td>3.79</td>\n",
       "      <td>3.29</td>\n",
       "      <td>35.52</td>\n",
       "      <td>82.0</td>\n",
       "      <td>73.0</td>\n",
       "      <td>8.3</td>\n",
       "      <td>709.0</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Wii Sports Resort</td>\n",
       "      <td>Wii</td>\n",
       "      <td>2009.0</td>\n",
       "      <td>Sports</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>15.61</td>\n",
       "      <td>10.93</td>\n",
       "      <td>3.28</td>\n",
       "      <td>2.95</td>\n",
       "      <td>32.77</td>\n",
       "      <td>80.0</td>\n",
       "      <td>73.0</td>\n",
       "      <td>8</td>\n",
       "      <td>192.0</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Pokemon Red/Pokemon Blue</td>\n",
       "      <td>GB</td>\n",
       "      <td>1996.0</td>\n",
       "      <td>Role-Playing</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>11.27</td>\n",
       "      <td>8.89</td>\n",
       "      <td>10.22</td>\n",
       "      <td>1.00</td>\n",
       "      <td>31.37</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Tetris</td>\n",
       "      <td>GB</td>\n",
       "      <td>1989.0</td>\n",
       "      <td>Puzzle</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>23.20</td>\n",
       "      <td>2.26</td>\n",
       "      <td>4.22</td>\n",
       "      <td>0.58</td>\n",
       "      <td>30.26</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>New Super Mario Bros.</td>\n",
       "      <td>DS</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>Platform</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>11.28</td>\n",
       "      <td>9.14</td>\n",
       "      <td>6.50</td>\n",
       "      <td>2.88</td>\n",
       "      <td>29.80</td>\n",
       "      <td>89.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>8.5</td>\n",
       "      <td>431.0</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Wii Play</td>\n",
       "      <td>Wii</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>Misc</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>13.96</td>\n",
       "      <td>9.18</td>\n",
       "      <td>2.93</td>\n",
       "      <td>2.84</td>\n",
       "      <td>28.92</td>\n",
       "      <td>58.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>6.6</td>\n",
       "      <td>129.0</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>New Super Mario Bros. Wii</td>\n",
       "      <td>Wii</td>\n",
       "      <td>2009.0</td>\n",
       "      <td>Platform</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>14.44</td>\n",
       "      <td>6.94</td>\n",
       "      <td>4.70</td>\n",
       "      <td>2.24</td>\n",
       "      <td>28.32</td>\n",
       "      <td>87.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>8.4</td>\n",
       "      <td>594.0</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Duck Hunt</td>\n",
       "      <td>NES</td>\n",
       "      <td>1984.0</td>\n",
       "      <td>Shooter</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>26.93</td>\n",
       "      <td>0.63</td>\n",
       "      <td>0.28</td>\n",
       "      <td>0.47</td>\n",
       "      <td>28.31</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        Name Platform  Year_of_Release         Genre  \\\n",
       "0                 Wii Sports      Wii           2006.0        Sports   \n",
       "1          Super Mario Bros.      NES           1985.0      Platform   \n",
       "2             Mario Kart Wii      Wii           2008.0        Racing   \n",
       "3          Wii Sports Resort      Wii           2009.0        Sports   \n",
       "4   Pokemon Red/Pokemon Blue       GB           1996.0  Role-Playing   \n",
       "5                     Tetris       GB           1989.0        Puzzle   \n",
       "6      New Super Mario Bros.       DS           2006.0      Platform   \n",
       "7                   Wii Play      Wii           2006.0          Misc   \n",
       "8  New Super Mario Bros. Wii      Wii           2009.0      Platform   \n",
       "9                  Duck Hunt      NES           1984.0       Shooter   \n",
       "\n",
       "  Publisher  NA_Sales  EU_Sales  JP_Sales  Other_Sales  Global_Sales  \\\n",
       "0  Nintendo     41.36     28.96      3.77         8.45         82.53   \n",
       "1  Nintendo     29.08      3.58      6.81         0.77         40.24   \n",
       "2  Nintendo     15.68     12.76      3.79         3.29         35.52   \n",
       "3  Nintendo     15.61     10.93      3.28         2.95         32.77   \n",
       "4  Nintendo     11.27      8.89     10.22         1.00         31.37   \n",
       "5  Nintendo     23.20      2.26      4.22         0.58         30.26   \n",
       "6  Nintendo     11.28      9.14      6.50         2.88         29.80   \n",
       "7  Nintendo     13.96      9.18      2.93         2.84         28.92   \n",
       "8  Nintendo     14.44      6.94      4.70         2.24         28.32   \n",
       "9  Nintendo     26.93      0.63      0.28         0.47         28.31   \n",
       "\n",
       "   Critic_Score  Critic_Count User_Score  User_Count Developer Rating  \n",
       "0          76.0          51.0          8       322.0  Nintendo      E  \n",
       "1           NaN           NaN        NaN         NaN       NaN    NaN  \n",
       "2          82.0          73.0        8.3       709.0  Nintendo      E  \n",
       "3          80.0          73.0          8       192.0  Nintendo      E  \n",
       "4           NaN           NaN        NaN         NaN       NaN    NaN  \n",
       "5           NaN           NaN        NaN         NaN       NaN    NaN  \n",
       "6          89.0          65.0        8.5       431.0  Nintendo      E  \n",
       "7          58.0          41.0        6.6       129.0  Nintendo      E  \n",
       "8          87.0          80.0        8.4       594.0  Nintendo      E  \n",
       "9           NaN           NaN        NaN         NaN       NaN    NaN  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "videoReview.head(10)\n",
    "#df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Rafael\\AppData\\Local\\Temp\\ipykernel_12008\\3517457287.py:5: FutureWarning: Downcasting behavior in `replace` is deprecated and will be removed in a future version. To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n",
      "  df.replace(find_replace, inplace=True)\n"
     ]
    },
    {
     "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>Name</th>\n",
       "      <th>Platform</th>\n",
       "      <th>Genre</th>\n",
       "      <th>Publisher</th>\n",
       "      <th>User_Score</th>\n",
       "      <th>Developer</th>\n",
       "      <th>Rating</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Wii Sports</td>\n",
       "      <td>Wii</td>\n",
       "      <td>Sports</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>8</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Mario Kart Wii</td>\n",
       "      <td>Wii</td>\n",
       "      <td>Racing</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>8.3</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Wii Sports Resort</td>\n",
       "      <td>Wii</td>\n",
       "      <td>Sports</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>8</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>New Super Mario Bros.</td>\n",
       "      <td>DS</td>\n",
       "      <td>Platform</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>8.5</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Wii Play</td>\n",
       "      <td>Wii</td>\n",
       "      <td>Misc</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>6.6</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>New Super Mario Bros. Wii</td>\n",
       "      <td>Wii</td>\n",
       "      <td>Platform</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>8.4</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Mario Kart DS</td>\n",
       "      <td>DS</td>\n",
       "      <td>Racing</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>8.6</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Wii Fit</td>\n",
       "      <td>Wii</td>\n",
       "      <td>Sports</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>7.7</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Kinect Adventures!</td>\n",
       "      <td>X360</td>\n",
       "      <td>Misc</td>\n",
       "      <td>Microsoft Game Studios</td>\n",
       "      <td>6.3</td>\n",
       "      <td>Good Science Studio</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Wii Fit Plus</td>\n",
       "      <td>Wii</td>\n",
       "      <td>Sports</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>7.4</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         Name Platform     Genre               Publisher  \\\n",
       "0                  Wii Sports      Wii    Sports                Nintendo   \n",
       "2              Mario Kart Wii      Wii    Racing                Nintendo   \n",
       "3           Wii Sports Resort      Wii    Sports                Nintendo   \n",
       "6       New Super Mario Bros.       DS  Platform                Nintendo   \n",
       "7                    Wii Play      Wii      Misc                Nintendo   \n",
       "8   New Super Mario Bros. Wii      Wii  Platform                Nintendo   \n",
       "11              Mario Kart DS       DS    Racing                Nintendo   \n",
       "13                    Wii Fit      Wii    Sports                Nintendo   \n",
       "14         Kinect Adventures!     X360      Misc  Microsoft Game Studios   \n",
       "15               Wii Fit Plus      Wii    Sports                Nintendo   \n",
       "\n",
       "   User_Score            Developer  Rating  \n",
       "0           8             Nintendo       1  \n",
       "2         8.3             Nintendo       1  \n",
       "3           8             Nintendo       1  \n",
       "6         8.5             Nintendo       1  \n",
       "7         6.6             Nintendo       1  \n",
       "8         8.4             Nintendo       1  \n",
       "11        8.6             Nintendo       1  \n",
       "13        7.7             Nintendo       1  \n",
       "14        6.3  Good Science Studio       1  \n",
       "15        7.4             Nintendo       1  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#The last 4 values listed have very small number of occurrences.\n",
    "#We will group these into having one value/category\n",
    "\n",
    "find_replace = {\"Rating\" : {\"E\": 1, \"T\": 2, \"M\": 3, \"E10+\": 4, \"EC\": 5, \"K-A\": 5, \"RP\": 5, \"AO\": 5}}\n",
    "df.replace(find_replace, inplace=True)\n",
    "df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Rafael\\AppData\\Local\\Temp\\ipykernel_12008\\4147818253.py:2: FutureWarning: \n",
      "\n",
      "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
      "\n",
      "  sb.countplot(x='Rating',data=df, palette='hls')\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Rating', ylabel='count'>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Now plot the newly generated rating values and their frequencies.\n",
    "sb.countplot(x='Rating',data=df, palette='hls')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Question: How does this plot compare to plot of original data?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3 – Label encoding\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Name          object\n",
       "Platform      object\n",
       "Genre         object\n",
       "Publisher     object\n",
       "User_Score    object\n",
       "Developer     object\n",
       "Rating         int64\n",
       "dtype: object"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#With this technique where each distinct value in a categorical variable is converted to a number.\n",
    "#In this scenario you don’t get to pick the numeric value assigned to the value. It is system determined.\n",
    "\n",
    "#let's check the data types again\n",
    "df.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Name                   object\n",
       "Platform               object\n",
       "Genre                  object\n",
       "Publisher              object\n",
       "User_Score             object\n",
       "Developer              object\n",
       "Rating                  int64\n",
       "Platform_Category    category\n",
       "dtype: object"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Our categorical variables are of ‘object’ data type. \n",
    "#We need to convert to a category data type.\n",
    "#In this example ‘Platform’ has a large-ish number of values and we want a quick way of \n",
    "# converting them we can illustrate this by creating a new variable.\n",
    "df[\"Platform_Category\"] = df[\"Platform\"].astype('category')\n",
    "df.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Name</th>\n",
       "      <th>Platform</th>\n",
       "      <th>Genre</th>\n",
       "      <th>Publisher</th>\n",
       "      <th>User_Score</th>\n",
       "      <th>Developer</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Platform_Category</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Wii Sports</td>\n",
       "      <td>Wii</td>\n",
       "      <td>Sports</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>8</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>1</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Mario Kart Wii</td>\n",
       "      <td>Wii</td>\n",
       "      <td>Racing</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>8.3</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>1</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Wii Sports Resort</td>\n",
       "      <td>Wii</td>\n",
       "      <td>Sports</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>8</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>1</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>New Super Mario Bros.</td>\n",
       "      <td>DS</td>\n",
       "      <td>Platform</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>8.5</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Wii Play</td>\n",
       "      <td>Wii</td>\n",
       "      <td>Misc</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>6.6</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>1</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>New Super Mario Bros. Wii</td>\n",
       "      <td>Wii</td>\n",
       "      <td>Platform</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>8.4</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>1</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Mario Kart DS</td>\n",
       "      <td>DS</td>\n",
       "      <td>Racing</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>8.6</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Wii Fit</td>\n",
       "      <td>Wii</td>\n",
       "      <td>Sports</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>7.7</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>1</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Kinect Adventures!</td>\n",
       "      <td>X360</td>\n",
       "      <td>Misc</td>\n",
       "      <td>Microsoft Game Studios</td>\n",
       "      <td>6.3</td>\n",
       "      <td>Good Science Studio</td>\n",
       "      <td>1</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Wii Fit Plus</td>\n",
       "      <td>Wii</td>\n",
       "      <td>Sports</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>7.4</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>1</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Grand Theft Auto V</td>\n",
       "      <td>PS3</td>\n",
       "      <td>Action</td>\n",
       "      <td>Take-Two Interactive</td>\n",
       "      <td>8.2</td>\n",
       "      <td>Rockstar North</td>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Grand Theft Auto: San Andreas</td>\n",
       "      <td>PS2</td>\n",
       "      <td>Action</td>\n",
       "      <td>Take-Two Interactive</td>\n",
       "      <td>9</td>\n",
       "      <td>Rockstar North</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Brain Age: Train Your Brain in Minutes a Day</td>\n",
       "      <td>DS</td>\n",
       "      <td>Misc</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>7.9</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Grand Theft Auto V</td>\n",
       "      <td>X360</td>\n",
       "      <td>Action</td>\n",
       "      <td>Take-Two Interactive</td>\n",
       "      <td>8.1</td>\n",
       "      <td>Rockstar North</td>\n",
       "      <td>3</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Grand Theft Auto: Vice City</td>\n",
       "      <td>PS2</td>\n",
       "      <td>Action</td>\n",
       "      <td>Take-Two Interactive</td>\n",
       "      <td>8.7</td>\n",
       "      <td>Rockstar North</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Brain Age 2: More Training in Minutes a Day</td>\n",
       "      <td>DS</td>\n",
       "      <td>Puzzle</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>7.1</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Gran Turismo 3: A-Spec</td>\n",
       "      <td>PS2</td>\n",
       "      <td>Racing</td>\n",
       "      <td>Sony Computer Entertainment</td>\n",
       "      <td>8.4</td>\n",
       "      <td>Polyphony Digital</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Call of Duty: Modern Warfare 3</td>\n",
       "      <td>X360</td>\n",
       "      <td>Shooter</td>\n",
       "      <td>Activision</td>\n",
       "      <td>3.4</td>\n",
       "      <td>Infinity Ward, Sledgehammer Games</td>\n",
       "      <td>3</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Call of Duty: Black Ops</td>\n",
       "      <td>X360</td>\n",
       "      <td>Shooter</td>\n",
       "      <td>Activision</td>\n",
       "      <td>6.3</td>\n",
       "      <td>Treyarch</td>\n",
       "      <td>3</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Call of Duty: Black Ops II</td>\n",
       "      <td>PS3</td>\n",
       "      <td>Shooter</td>\n",
       "      <td>Activision</td>\n",
       "      <td>5.3</td>\n",
       "      <td>Treyarch</td>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                            Name Platform     Genre  \\\n",
       "0                                     Wii Sports      Wii    Sports   \n",
       "2                                 Mario Kart Wii      Wii    Racing   \n",
       "3                              Wii Sports Resort      Wii    Sports   \n",
       "6                          New Super Mario Bros.       DS  Platform   \n",
       "7                                       Wii Play      Wii      Misc   \n",
       "8                      New Super Mario Bros. Wii      Wii  Platform   \n",
       "11                                 Mario Kart DS       DS    Racing   \n",
       "13                                       Wii Fit      Wii    Sports   \n",
       "14                            Kinect Adventures!     X360      Misc   \n",
       "15                                  Wii Fit Plus      Wii    Sports   \n",
       "16                            Grand Theft Auto V      PS3    Action   \n",
       "17                 Grand Theft Auto: San Andreas      PS2    Action   \n",
       "19  Brain Age: Train Your Brain in Minutes a Day       DS      Misc   \n",
       "23                            Grand Theft Auto V     X360    Action   \n",
       "24                   Grand Theft Auto: Vice City      PS2    Action   \n",
       "26   Brain Age 2: More Training in Minutes a Day       DS    Puzzle   \n",
       "28                        Gran Turismo 3: A-Spec      PS2    Racing   \n",
       "29                Call of Duty: Modern Warfare 3     X360   Shooter   \n",
       "32                       Call of Duty: Black Ops     X360   Shooter   \n",
       "34                    Call of Duty: Black Ops II      PS3   Shooter   \n",
       "\n",
       "                      Publisher User_Score                          Developer  \\\n",
       "0                      Nintendo          8                           Nintendo   \n",
       "2                      Nintendo        8.3                           Nintendo   \n",
       "3                      Nintendo          8                           Nintendo   \n",
       "6                      Nintendo        8.5                           Nintendo   \n",
       "7                      Nintendo        6.6                           Nintendo   \n",
       "8                      Nintendo        8.4                           Nintendo   \n",
       "11                     Nintendo        8.6                           Nintendo   \n",
       "13                     Nintendo        7.7                           Nintendo   \n",
       "14       Microsoft Game Studios        6.3                Good Science Studio   \n",
       "15                     Nintendo        7.4                           Nintendo   \n",
       "16         Take-Two Interactive        8.2                     Rockstar North   \n",
       "17         Take-Two Interactive          9                     Rockstar North   \n",
       "19                     Nintendo        7.9                           Nintendo   \n",
       "23         Take-Two Interactive        8.1                     Rockstar North   \n",
       "24         Take-Two Interactive        8.7                     Rockstar North   \n",
       "26                     Nintendo        7.1                           Nintendo   \n",
       "28  Sony Computer Entertainment        8.4                  Polyphony Digital   \n",
       "29                   Activision        3.4  Infinity Ward, Sledgehammer Games   \n",
       "32                   Activision        6.3                           Treyarch   \n",
       "34                   Activision        5.3                           Treyarch   \n",
       "\n",
       "    Rating  Platform_Category  \n",
       "0        1                 12  \n",
       "2        1                 12  \n",
       "3        1                 12  \n",
       "6        1                  2  \n",
       "7        1                 12  \n",
       "8        1                 12  \n",
       "11       1                  2  \n",
       "13       1                 12  \n",
       "14       1                 14  \n",
       "15       1                 12  \n",
       "16       3                  8  \n",
       "17       3                  7  \n",
       "19       1                  2  \n",
       "23       3                 14  \n",
       "24       3                  7  \n",
       "26       1                  2  \n",
       "28       1                  7  \n",
       "29       3                 14  \n",
       "32       3                 14  \n",
       "34       3                  8  "
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Now convert this new variable to numeric.\n",
    "df[\"Platform_Category\"] = df[\"Platform_Category\"].cat.codes\n",
    "df.head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Platform\n",
       "3DS      226\n",
       "DC        14\n",
       "DS      1255\n",
       "GBA      517\n",
       "GC       469\n",
       "PC       760\n",
       "PS       201\n",
       "PS2     1478\n",
       "PS3      947\n",
       "PS4      252\n",
       "PSP      543\n",
       "PSV      149\n",
       "Wii      997\n",
       "WiiU     105\n",
       "X360    1041\n",
       "XB       733\n",
       "XOne     186\n",
       "Name: Platform, dtype: int64"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#The number assigned to the Platform_Category variable is based on the alphabetical \n",
    "#ordering of the values in the Platform variable. \n",
    "df.groupby(\"Platform\")[\"Platform\"].count()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4-Using SciKit-Learn transform\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Genre</th>\n",
       "      <th>Genre_Code</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Sports</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Racing</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Sports</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Platform</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Misc</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Platform</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Racing</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Sports</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Misc</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Sports</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Genre  Genre_Code\n",
       "0     Sports          10\n",
       "2     Racing           6\n",
       "3     Sports          10\n",
       "6   Platform           4\n",
       "7       Misc           3\n",
       "8   Platform           4\n",
       "11    Racing           6\n",
       "13    Sports          10\n",
       "14      Misc           3\n",
       "15    Sports          10"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#SciKit-Learn has a number of functions to help with data encodings. \n",
    "#The one we will look at in this example is the ‘fit_transform’ function.\n",
    "\n",
    "#This will perform a similar task to what we have seen in a previous example\n",
    "#Let's use the fit_tranforms function to encode the Genre variable\n",
    "\n",
    "from sklearn.preprocessing import LabelEncoder\n",
    "\n",
    "le_make = LabelEncoder()\n",
    "df[\"Genre_Code\"] = le_make.fit_transform(df[\"Genre\"])\n",
    "df[[\"Genre\", \"Genre_Code\"]].head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Genre_Code\n",
       "0     2177\n",
       "1      435\n",
       "2      435\n",
       "3      875\n",
       "4      566\n",
       "5      336\n",
       "6      863\n",
       "7      770\n",
       "8     1017\n",
       "9      564\n",
       "10    1500\n",
       "11     335\n",
       "Name: Genre_Code, dtype: int64"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#And we can see this comparison when we look at the frequency counts.\n",
    "df.groupby(\"Genre_Code\")[\"Genre_Code\"].count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Name</th>\n",
       "      <th>Platform</th>\n",
       "      <th>Genre</th>\n",
       "      <th>Publisher</th>\n",
       "      <th>User_Score</th>\n",
       "      <th>Developer</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Platform_Category</th>\n",
       "      <th>Genre_Code</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Wii Sports</td>\n",
       "      <td>Wii</td>\n",
       "      <td>Sports</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>8</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>1</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Mario Kart Wii</td>\n",
       "      <td>Wii</td>\n",
       "      <td>Racing</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>8.3</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>1</td>\n",
       "      <td>12</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Wii Sports Resort</td>\n",
       "      <td>Wii</td>\n",
       "      <td>Sports</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>8</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>1</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>New Super Mario Bros.</td>\n",
       "      <td>DS</td>\n",
       "      <td>Platform</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>8.5</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Wii Play</td>\n",
       "      <td>Wii</td>\n",
       "      <td>Misc</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>6.6</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>1</td>\n",
       "      <td>12</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>New Super Mario Bros. Wii</td>\n",
       "      <td>Wii</td>\n",
       "      <td>Platform</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>8.4</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>1</td>\n",
       "      <td>12</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Mario Kart DS</td>\n",
       "      <td>DS</td>\n",
       "      <td>Racing</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>8.6</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Wii Fit</td>\n",
       "      <td>Wii</td>\n",
       "      <td>Sports</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>7.7</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>1</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Kinect Adventures!</td>\n",
       "      <td>X360</td>\n",
       "      <td>Misc</td>\n",
       "      <td>Microsoft Game Studios</td>\n",
       "      <td>6.3</td>\n",
       "      <td>Good Science Studio</td>\n",
       "      <td>1</td>\n",
       "      <td>14</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Wii Fit Plus</td>\n",
       "      <td>Wii</td>\n",
       "      <td>Sports</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>7.4</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>1</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         Name Platform     Genre               Publisher  \\\n",
       "0                  Wii Sports      Wii    Sports                Nintendo   \n",
       "2              Mario Kart Wii      Wii    Racing                Nintendo   \n",
       "3           Wii Sports Resort      Wii    Sports                Nintendo   \n",
       "6       New Super Mario Bros.       DS  Platform                Nintendo   \n",
       "7                    Wii Play      Wii      Misc                Nintendo   \n",
       "8   New Super Mario Bros. Wii      Wii  Platform                Nintendo   \n",
       "11              Mario Kart DS       DS    Racing                Nintendo   \n",
       "13                    Wii Fit      Wii    Sports                Nintendo   \n",
       "14         Kinect Adventures!     X360      Misc  Microsoft Game Studios   \n",
       "15               Wii Fit Plus      Wii    Sports                Nintendo   \n",
       "\n",
       "   User_Score            Developer  Rating  Platform_Category  Genre_Code  \n",
       "0           8             Nintendo       1                 12          10  \n",
       "2         8.3             Nintendo       1                 12           6  \n",
       "3           8             Nintendo       1                 12          10  \n",
       "6         8.5             Nintendo       1                  2           4  \n",
       "7         6.6             Nintendo       1                 12           3  \n",
       "8         8.4             Nintendo       1                 12           4  \n",
       "11        8.6             Nintendo       1                  2           6  \n",
       "13        7.7             Nintendo       1                 12          10  \n",
       "14        6.3  Good Science Studio       1                 14           3  \n",
       "15        7.4             Nintendo       1                 12          10  "
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(10)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Name</th>\n",
       "      <th>Platform</th>\n",
       "      <th>Publisher</th>\n",
       "      <th>User_Score</th>\n",
       "      <th>Developer</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Platform_Category</th>\n",
       "      <th>Genre_Code</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Wii Sports</td>\n",
       "      <td>Wii</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>8</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>1</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Mario Kart Wii</td>\n",
       "      <td>Wii</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>8.3</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>1</td>\n",
       "      <td>12</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Wii Sports Resort</td>\n",
       "      <td>Wii</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>8</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>1</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>New Super Mario Bros.</td>\n",
       "      <td>DS</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>8.5</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Wii Play</td>\n",
       "      <td>Wii</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>6.6</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>1</td>\n",
       "      <td>12</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>New Super Mario Bros. Wii</td>\n",
       "      <td>Wii</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>8.4</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>1</td>\n",
       "      <td>12</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Mario Kart DS</td>\n",
       "      <td>DS</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>8.6</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Wii Fit</td>\n",
       "      <td>Wii</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>7.7</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>1</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Kinect Adventures!</td>\n",
       "      <td>X360</td>\n",
       "      <td>Microsoft Game Studios</td>\n",
       "      <td>6.3</td>\n",
       "      <td>Good Science Studio</td>\n",
       "      <td>1</td>\n",
       "      <td>14</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Wii Fit Plus</td>\n",
       "      <td>Wii</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>7.4</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>1</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         Name Platform               Publisher User_Score  \\\n",
       "0                  Wii Sports      Wii                Nintendo          8   \n",
       "2              Mario Kart Wii      Wii                Nintendo        8.3   \n",
       "3           Wii Sports Resort      Wii                Nintendo          8   \n",
       "6       New Super Mario Bros.       DS                Nintendo        8.5   \n",
       "7                    Wii Play      Wii                Nintendo        6.6   \n",
       "8   New Super Mario Bros. Wii      Wii                Nintendo        8.4   \n",
       "11              Mario Kart DS       DS                Nintendo        8.6   \n",
       "13                    Wii Fit      Wii                Nintendo        7.7   \n",
       "14         Kinect Adventures!     X360  Microsoft Game Studios        6.3   \n",
       "15               Wii Fit Plus      Wii                Nintendo        7.4   \n",
       "\n",
       "              Developer  Rating  Platform_Category  Genre_Code  \n",
       "0              Nintendo       1                 12          10  \n",
       "2              Nintendo       1                 12           6  \n",
       "3              Nintendo       1                 12          10  \n",
       "6              Nintendo       1                  2           4  \n",
       "7              Nintendo       1                 12           3  \n",
       "8              Nintendo       1                 12           4  \n",
       "11             Nintendo       1                  2           6  \n",
       "13             Nintendo       1                 12          10  \n",
       "14  Good Science Studio       1                 14           3  \n",
       "15             Nintendo       1                 12          10  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#And now we can drop the Genre variable from the dataframe as it is no longer needed.  \n",
    "#BUT you will need to have recorded the mapping between the original Genre values and \n",
    "#the numeric values for future reference.\n",
    "df = df.drop('Genre', axis=1)\n",
    "df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}