3-Data-Exploration.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Exploration"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this Notebook we will explore the data to gain insights. We will also seek to answer the questions raised by our stakeholders using the data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import libraries\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "import pickle \n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "%matplotlib inline\n",
    "\n",
    "from collections import Counter\n",
    "\n",
    "#Import Warnings\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load Data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We will first load the `gamesdata.csv` file, which has a row for each game and various descriptive features as columns."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>publisher</th>\n",
       "      <th>genres</th>\n",
       "      <th>app_name</th>\n",
       "      <th>title</th>\n",
       "      <th>url</th>\n",
       "      <th>release_date</th>\n",
       "      <th>tags</th>\n",
       "      <th>discount_price</th>\n",
       "      <th>reviews_url</th>\n",
       "      <th>specs</th>\n",
       "      <th>price</th>\n",
       "      <th>early_access</th>\n",
       "      <th>id</th>\n",
       "      <th>developer</th>\n",
       "      <th>sentiment</th>\n",
       "      <th>metascore</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Kotoshiro</td>\n",
       "      <td>['Action', 'Casual', 'Indie', 'Simulation', 'S...</td>\n",
       "      <td>Lost Summoner Kitty</td>\n",
       "      <td>Lost Summoner Kitty</td>\n",
       "      <td>http://store.steampowered.com/app/761140/Lost_...</td>\n",
       "      <td>2018-01-04</td>\n",
       "      <td>['Strategy', 'Action', 'Indie', 'Casual', 'Sim...</td>\n",
       "      <td>4.49</td>\n",
       "      <td>http://steamcommunity.com/app/761140/reviews/?...</td>\n",
       "      <td>['Single-player']</td>\n",
       "      <td>4.99</td>\n",
       "      <td>False</td>\n",
       "      <td>761140.0</td>\n",
       "      <td>Kotoshiro</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Making Fun, Inc.</td>\n",
       "      <td>['Free to Play', 'Indie', 'RPG', 'Strategy']</td>\n",
       "      <td>Ironbound</td>\n",
       "      <td>Ironbound</td>\n",
       "      <td>http://store.steampowered.com/app/643980/Ironb...</td>\n",
       "      <td>2018-01-04</td>\n",
       "      <td>['Free to Play', 'Strategy', 'Indie', 'RPG', '...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://steamcommunity.com/app/643980/reviews/?...</td>\n",
       "      <td>['Single-player', 'Multi-player', 'Online Mult...</td>\n",
       "      <td>Free To Play</td>\n",
       "      <td>False</td>\n",
       "      <td>643980.0</td>\n",
       "      <td>Secret Level SRL</td>\n",
       "      <td>Mostly Positive</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Poolians.com</td>\n",
       "      <td>['Casual', 'Free to Play', 'Indie', 'Simulatio...</td>\n",
       "      <td>Real Pool 3D - Poolians</td>\n",
       "      <td>Real Pool 3D - Poolians</td>\n",
       "      <td>http://store.steampowered.com/app/670290/Real_...</td>\n",
       "      <td>2017-07-24</td>\n",
       "      <td>['Free to Play', 'Simulation', 'Sports', 'Casu...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://steamcommunity.com/app/670290/reviews/?...</td>\n",
       "      <td>['Single-player', 'Multi-player', 'Online Mult...</td>\n",
       "      <td>Free to Play</td>\n",
       "      <td>False</td>\n",
       "      <td>670290.0</td>\n",
       "      <td>Poolians.com</td>\n",
       "      <td>Mostly Positive</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>彼岸领域</td>\n",
       "      <td>['Action', 'Adventure', 'Casual']</td>\n",
       "      <td>弹炸人2222</td>\n",
       "      <td>弹炸人2222</td>\n",
       "      <td>http://store.steampowered.com/app/767400/2222/</td>\n",
       "      <td>2017-12-07</td>\n",
       "      <td>['Action', 'Adventure', 'Casual']</td>\n",
       "      <td>0.83</td>\n",
       "      <td>http://steamcommunity.com/app/767400/reviews/?...</td>\n",
       "      <td>['Single-player']</td>\n",
       "      <td>0.99</td>\n",
       "      <td>False</td>\n",
       "      <td>767400.0</td>\n",
       "      <td>彼岸领域</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Log Challenge</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://store.steampowered.com/app/773570/Log_C...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['Action', 'Indie', 'Casual', 'Sports']</td>\n",
       "      <td>1.79</td>\n",
       "      <td>http://steamcommunity.com/app/773570/reviews/?...</td>\n",
       "      <td>['Single-player', 'Full controller support', '...</td>\n",
       "      <td>2.99</td>\n",
       "      <td>False</td>\n",
       "      <td>773570.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      "text/plain": [
       "          publisher                                             genres  \\\n",
       "0         Kotoshiro  ['Action', 'Casual', 'Indie', 'Simulation', 'S...   \n",
       "1  Making Fun, Inc.       ['Free to Play', 'Indie', 'RPG', 'Strategy']   \n",
       "2      Poolians.com  ['Casual', 'Free to Play', 'Indie', 'Simulatio...   \n",
       "3              彼岸领域                  ['Action', 'Adventure', 'Casual']   \n",
       "4               NaN                                                NaN   \n",
       "\n",
       "                  app_name                    title  \\\n",
       "0      Lost Summoner Kitty      Lost Summoner Kitty   \n",
       "1                Ironbound                Ironbound   \n",
       "2  Real Pool 3D - Poolians  Real Pool 3D - Poolians   \n",
       "3                  弹炸人2222                  弹炸人2222   \n",
       "4            Log Challenge                      NaN   \n",
       "\n",
       "                                                 url release_date  \\\n",
       "0  http://store.steampowered.com/app/761140/Lost_...   2018-01-04   \n",
       "1  http://store.steampowered.com/app/643980/Ironb...   2018-01-04   \n",
       "2  http://store.steampowered.com/app/670290/Real_...   2017-07-24   \n",
       "3     http://store.steampowered.com/app/767400/2222/   2017-12-07   \n",
       "4  http://store.steampowered.com/app/773570/Log_C...          NaN   \n",
       "\n",
       "                                                tags  discount_price  \\\n",
       "0  ['Strategy', 'Action', 'Indie', 'Casual', 'Sim...            4.49   \n",
       "1  ['Free to Play', 'Strategy', 'Indie', 'RPG', '...             NaN   \n",
       "2  ['Free to Play', 'Simulation', 'Sports', 'Casu...             NaN   \n",
       "3                  ['Action', 'Adventure', 'Casual']            0.83   \n",
       "4            ['Action', 'Indie', 'Casual', 'Sports']            1.79   \n",
       "\n",
       "                                         reviews_url  \\\n",
       "0  http://steamcommunity.com/app/761140/reviews/?...   \n",
       "1  http://steamcommunity.com/app/643980/reviews/?...   \n",
       "2  http://steamcommunity.com/app/670290/reviews/?...   \n",
       "3  http://steamcommunity.com/app/767400/reviews/?...   \n",
       "4  http://steamcommunity.com/app/773570/reviews/?...   \n",
       "\n",
       "                                               specs         price  \\\n",
       "0                                  ['Single-player']          4.99   \n",
       "1  ['Single-player', 'Multi-player', 'Online Mult...  Free To Play   \n",
       "2  ['Single-player', 'Multi-player', 'Online Mult...  Free to Play   \n",
       "3                                  ['Single-player']          0.99   \n",
       "4  ['Single-player', 'Full controller support', '...          2.99   \n",
       "\n",
       "   early_access        id         developer        sentiment  metascore  \n",
       "0         False  761140.0         Kotoshiro              NaN        NaN  \n",
       "1         False  643980.0  Secret Level SRL  Mostly Positive        NaN  \n",
       "2         False  670290.0      Poolians.com  Mostly Positive        NaN  \n",
       "3         False  767400.0              彼岸领域              NaN        NaN  \n",
       "4         False  773570.0               NaN              NaN        NaN  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Load games data\n",
    "gamesdata = pd.read_csv('gamesdata.csv', index_col = 0)\n",
    "gamesdata.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We also load the `mergeddata.csv` file which has a row for each user-item interaction."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
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   "outputs": [
    {
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       "      <th>publisher</th>\n",
       "      <th>genres</th>\n",
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       "      <td>0</td>\n",
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       "      <td>Valve</td>\n",
       "      <td>['Action']</td>\n",
       "      <td>Counter-Strike</td>\n",
       "      <td>Counter-Strike</td>\n",
       "      <td>http://store.steampowered.com/app/10/CounterSt...</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>1</td>\n",
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       "      <td>['Action']</td>\n",
       "      <td>Counter-Strike</td>\n",
       "      <td>Counter-Strike</td>\n",
       "      <td>http://store.steampowered.com/app/10/CounterSt...</td>\n",
       "      <td>2000-11-01</td>\n",
       "      <td>['Action', 'FPS', 'Multiplayer', 'Shooter', 'C...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://steamcommunity.com/app/10/reviews/?brow...</td>\n",
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       "      <th>2</th>\n",
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       "      <td>2000-11-01</td>\n",
       "      <td>['Action', 'FPS', 'Multiplayer', 'Shooter', 'C...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://steamcommunity.com/app/10/reviews/?brow...</td>\n",
       "      <td>['Multi-player', 'Valve Anti-Cheat enabled']</td>\n",
       "      <td>9.99</td>\n",
       "      <td>False</td>\n",
       "      <td>Valve</td>\n",
       "      <td>Overwhelmingly Positive</td>\n",
       "      <td>88.0</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Valve</td>\n",
       "      <td>['Action']</td>\n",
       "      <td>Counter-Strike</td>\n",
       "      <td>Counter-Strike</td>\n",
       "      <td>http://store.steampowered.com/app/10/CounterSt...</td>\n",
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       "      <td>['Action', 'FPS', 'Multiplayer', 'Shooter', 'C...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://steamcommunity.com/app/10/reviews/?brow...</td>\n",
       "      <td>['Multi-player', 'Valve Anti-Cheat enabled']</td>\n",
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       "      <td>False</td>\n",
       "      <td>Valve</td>\n",
       "      <td>Overwhelmingly Positive</td>\n",
       "      <td>88.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Valve</td>\n",
       "      <td>['Action']</td>\n",
       "      <td>Counter-Strike</td>\n",
       "      <td>Counter-Strike</td>\n",
       "      <td>http://store.steampowered.com/app/10/CounterSt...</td>\n",
       "      <td>2000-11-01</td>\n",
       "      <td>['Action', 'FPS', 'Multiplayer', 'Shooter', 'C...</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>['Multi-player', 'Valve Anti-Cheat enabled']</td>\n",
       "      <td>9.99</td>\n",
       "      <td>False</td>\n",
       "      <td>Valve</td>\n",
       "      <td>Overwhelmingly Positive</td>\n",
       "      <td>88.0</td>\n",
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      "text/plain": [
       "   uid  id  owned publisher      genres        app_name           title  \\\n",
       "0    0  10    1.0     Valve  ['Action']  Counter-Strike  Counter-Strike   \n",
       "1    1  10    1.0     Valve  ['Action']  Counter-Strike  Counter-Strike   \n",
       "2    3  10    1.0     Valve  ['Action']  Counter-Strike  Counter-Strike   \n",
       "3    4  10    1.0     Valve  ['Action']  Counter-Strike  Counter-Strike   \n",
       "4   10  10    1.0     Valve  ['Action']  Counter-Strike  Counter-Strike   \n",
       "\n",
       "                                                 url release_date  \\\n",
       "0  http://store.steampowered.com/app/10/CounterSt...   2000-11-01   \n",
       "1  http://store.steampowered.com/app/10/CounterSt...   2000-11-01   \n",
       "2  http://store.steampowered.com/app/10/CounterSt...   2000-11-01   \n",
       "3  http://store.steampowered.com/app/10/CounterSt...   2000-11-01   \n",
       "4  http://store.steampowered.com/app/10/CounterSt...   2000-11-01   \n",
       "\n",
       "                                                tags  discount_price  \\\n",
       "0  ['Action', 'FPS', 'Multiplayer', 'Shooter', 'C...             NaN   \n",
       "1  ['Action', 'FPS', 'Multiplayer', 'Shooter', 'C...             NaN   \n",
       "2  ['Action', 'FPS', 'Multiplayer', 'Shooter', 'C...             NaN   \n",
       "3  ['Action', 'FPS', 'Multiplayer', 'Shooter', 'C...             NaN   \n",
       "4  ['Action', 'FPS', 'Multiplayer', 'Shooter', 'C...             NaN   \n",
       "\n",
       "                                         reviews_url  \\\n",
       "0  http://steamcommunity.com/app/10/reviews/?brow...   \n",
       "1  http://steamcommunity.com/app/10/reviews/?brow...   \n",
       "2  http://steamcommunity.com/app/10/reviews/?brow...   \n",
       "3  http://steamcommunity.com/app/10/reviews/?brow...   \n",
       "4  http://steamcommunity.com/app/10/reviews/?brow...   \n",
       "\n",
       "                                          specs price  early_access developer  \\\n",
       "0  ['Multi-player', 'Valve Anti-Cheat enabled']  9.99         False     Valve   \n",
       "1  ['Multi-player', 'Valve Anti-Cheat enabled']  9.99         False     Valve   \n",
       "2  ['Multi-player', 'Valve Anti-Cheat enabled']  9.99         False     Valve   \n",
       "3  ['Multi-player', 'Valve Anti-Cheat enabled']  9.99         False     Valve   \n",
       "4  ['Multi-player', 'Valve Anti-Cheat enabled']  9.99         False     Valve   \n",
       "\n",
       "                 sentiment  metascore  \n",
       "0  Overwhelmingly Positive       88.0  \n",
       "1  Overwhelmingly Positive       88.0  \n",
       "2  Overwhelmingly Positive       88.0  \n",
       "3  Overwhelmingly Positive       88.0  \n",
       "4  Overwhelmingly Positive       88.0  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Load merged data\n",
    "mergeddata = pd.read_csv('mergeddata.csv', index_col = 0)\n",
    "mergeddata.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And finally we load the `numgames.csv` file which just lists the number of games owned for each user."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": false
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   "outputs": [
    {
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>js41637</td>\n",
       "      <td>888</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>evcentric</td>\n",
       "      <td>137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Riot-Punch</td>\n",
       "      <td>328</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>doctr</td>\n",
       "      <td>541</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             user_id  items_count\n",
       "0  76561197970982479          277\n",
       "1            js41637          888\n",
       "2          evcentric          137\n",
       "3         Riot-Punch          328\n",
       "4              doctr          541"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Load numgames data\n",
    "numgames = pd.read_csv('numgames.csv', index_col = 0)\n",
    "numgames.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exploration"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### User interaction data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "8657"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mergeddata['id'].nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "26214"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mergeddata['uid'].nunique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Release date"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Select entries where release date is not null\n",
    "data = gamesdata[gamesdata['release_date'].notnull()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count          30068\n",
       "unique          3582\n",
       "top       2012-10-16\n",
       "freq             100\n",
       "Name: release_date, dtype: object"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Describe feature\n",
    "data['release_date'].describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We note that there are 3582 unique values. We want to convert the type to Datetime instead of object."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count                   29783\n",
       "unique                   3457\n",
       "top       2012-10-16 00:00:00\n",
       "freq                      100\n",
       "first     1970-07-15 00:00:00\n",
       "last      2021-12-31 00:00:00\n",
       "Name: release_date, dtype: object"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Replace strings which are not of the format xxxx-xx-xx with None\n",
    "data['release_date'] = data['release_date'].map(lambda x : x if x[-3] == '-'else None)\n",
    "\n",
    "# Select entries where release date is not null\n",
    "data = data[data['release_date'].notnull()]\n",
    "\n",
    "# Convert to DateTime \n",
    "data['release_date'] = pd.to_datetime(data['release_date'])\n",
    "\n",
    "# Check \n",
    "data['release_date'].describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We see that our data contains games ranging from 1970 up to predicted release date of December 2021."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot histogram of release date feat\n",
    "data['release_date'].hist()\n",
    "plt.title('Выпущенные игры')\n",
    "plt.ylabel('Число игр')\n",
    "plt.xlabel('Год')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Focus on post 2010\n",
    "recentgames = data[data['release_date'].dt.year > 2010]\n",
    "\n",
    "recentgames['release_date'].hist()\n",
    "plt.title('Выпущенные игры после 2010 года')\n",
    "plt.ylabel('Число игр')\n",
    "plt.xlabel('Год')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's see which months are most popular for new releases."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create month feature\n",
    "data['release_month'] = data['release_date'].dt.month\n",
    "\n",
    "# Plot countplot using Seaborn\n",
    "sns.countplot(x = data['release_month'], data = data)\n",
    "plt.title('Частота выпускаемых игр по месяцам')\n",
    "plt.xlabel('Месяц')\n",
    "plt.ylabel('Число игр')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Countplot of sale month\n",
    "\n",
    "# define palette to highlight best months to buy house\n",
    "custompalette = {release_month: \"skyblue\" if (release_month == 10 or release_month == 11 or release_month == 12 ) else \"lightgrey\" \\\n",
    "                 for release_month in data['release_month'].unique()}\n",
    "\n",
    "with sns.axes_style(\"whitegrid\"):\n",
    "    sns.countplot(x = data['release_month'], palette = custompalette, data = data)\n",
    "plt.title('Number of game releases per month')\n",
    "plt.xlabel('Month')\n",
    "plt.ylabel('Count')\n",
    "plt.savefig('Images/month.pdf', bbox_inches = \"tight\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We see that October, November and December have the highest number of game releases. Let's look at quarters now."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define function to determine quarter\n",
    "def quarter(month):\n",
    "    ''' Returns quarter in which month falls'''\n",
    "    if 1 <= month <= 3:\n",
    "        quarter = 'Q1'\n",
    "    elif 4 <= month <= 6:\n",
    "        quarter = 'Q2'\n",
    "    elif 7 <= month <= 9:\n",
    "        quarter = 'Q3'\n",
    "    else:\n",
    "        quarter = 'Q4'\n",
    "    return quarter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create quarter feature\n",
    "data['release_quarter'] = data['release_month'].apply(quarter)\n",
    "\n",
    "# Plot countplot using Seaborn\n",
    "sns.countplot(x = data['release_quarter'], data = data, \n",
    "              order = data['release_quarter'].value_counts().index)\n",
    "plt.title('Выпускаемые видеоигры по кварталам')\n",
    "plt.xlabel('Номер квартала')\n",
    "plt.ylabel('Количество игр')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Recommendation:**\n",
    "\n",
    "Q4 and in particular the month of October sees the most new games released. We would recommend ensuring advertisement deals are priced at a premium during this period."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally, let's look at release date for the user-item data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count                 2271145\n",
       "unique                   2635\n",
       "top       2012-08-21 00:00:00\n",
       "freq                    20671\n",
       "first     1983-06-19 00:00:00\n",
       "last      2018-12-01 00:00:00\n",
       "Name: release_date, dtype: object"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create copy to work with\n",
    "releasedatedata = mergeddata.copy()\n",
    "\n",
    "# Select entries where release date is not null\n",
    "releasedatedata = releasedatedata[releasedatedata['release_date'].notnull()]\n",
    "\n",
    "# Replace strings which are not of the format xxxx-xx-xx with None\n",
    "releasedatedata['release_date'] = releasedatedata['release_date'].map(lambda x : x if x[-3] == '-'else None)\n",
    "\n",
    "# Select entries where release date is not null\n",
    "releasedatedata = releasedatedata[releasedatedata['release_date'].notnull()]\n",
    "\n",
    "# Convert to DateTime \n",
    "releasedatedata['release_date'] = pd.to_datetime(releasedatedata['release_date'])\n",
    "\n",
    "# Check \n",
    "releasedatedata['release_date'].describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Of course, we now have plenty of duplicate entries. However we note that the games span 1983 to 2018."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Game library size"
   ]
  },
  {
   "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>user_id</th>\n",
       "      <th>items_count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>76561197970982479</td>\n",
       "      <td>277</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>js41637</td>\n",
       "      <td>888</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>evcentric</td>\n",
       "      <td>137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Riot-Punch</td>\n",
       "      <td>328</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>doctr</td>\n",
       "      <td>541</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             user_id  items_count\n",
       "0  76561197970982479          277\n",
       "1            js41637          888\n",
       "2          evcentric          137\n",
       "3         Riot-Punch          328\n",
       "4              doctr          541"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# View head\n",
    "numgames.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    30000.000000\n",
       "mean        92.483133\n",
       "std        166.079021\n",
       "min          0.000000\n",
       "25%         22.000000\n",
       "50%         57.000000\n",
       "75%        114.000000\n",
       "max       7762.000000\n",
       "Name: items_count, dtype: float64"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get summary statistics\n",
    "numgames['items_count'].describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We have data for 88310 unique steam users. We note that the minimum number of games owned is 0 whereas the maximum is 7762. The average number of games owned is 58."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# # Plot distribution of `items_count`\n",
    "# numgames['items_count'].hist()\n",
    "# plt.title('Distribution of number of games owned')\n",
    "# plt.xlabel('Number of games')\n",
    "# plt.ylabel('Number of users')\n",
    "# plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot distribution of items_count within 90% centile\n",
    "numgames[numgames['items_count'] < numgames['items_count'].quantile(0.90)].hist()\n",
    "plt.title('Распределение числа имеющихся игр')\n",
    "plt.xlabel('Число игр')\n",
    "plt.ylabel('Число пользователей')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Recommendation:**\n",
    "\n",
    "Focus campaign on users who have below the average number of games of 58. These users are more likely to find games they do not own which appeal."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Game Price"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count     30758\n",
       "unique      162\n",
       "top        4.99\n",
       "freq       4278\n",
       "Name: price, dtype: object"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create a copy to work with\n",
    "gamesprice = gamesdata.copy()\n",
    "\n",
    "# Get statistics and type\n",
    "gamesprice['price'].describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We see that the values are of type `object`. \n",
    "\n",
    "From viewing the head above, we noticed the presence of the string `Free To Play`. Let us replace that value with 0. \n",
    "\n",
    "We will also iterate and replace all strings we find with 0."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>app_name</th>\n",
       "      <th>price</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Lost Summoner Kitty</td>\n",
       "      <td>4.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Ironbound</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Real Pool 3D - Poolians</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>弹炸人2222</td>\n",
       "      <td>0.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Log Challenge</td>\n",
       "      <td>2.99</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  app_name price\n",
       "0      Lost Summoner Kitty  4.99\n",
       "1                Ironbound     0\n",
       "2  Real Pool 3D - Poolians     0\n",
       "3                  弹炸人2222  0.99\n",
       "4            Log Challenge  2.99"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gamesprice = gamesprice.replace(to_replace = 'Free To Play', value = 0)\n",
    "gamesprice = gamesprice.replace(to_replace = 'Free to Play', value = 0)\n",
    "gamesprice = gamesprice.replace(to_replace = 'Free', value = 0)\n",
    "gamesprice = gamesprice.replace(to_replace = 'Free Demo', value = 0)\n",
    "gamesprice = gamesprice.replace(to_replace = 'Play for Free!', value = 0)\n",
    "gamesprice = gamesprice.replace(to_replace = 'Install Now', value = 0)\n",
    "gamesprice = gamesprice.replace(to_replace = 'Play WARMACHINE: Tactics Demo', value = 0)\n",
    "gamesprice = gamesprice.replace(to_replace = 'Free Mod', value = 0)\n",
    "gamesprice = gamesprice.replace(to_replace = 'Install Theme', value = 0)\n",
    "gamesprice = gamesprice.replace(to_replace = 'Third-party', value = 0)\n",
    "gamesprice = gamesprice.replace(to_replace = 'Play Now', value = 0)\n",
    "gamesprice = gamesprice.replace(to_replace = 'Free HITMAN™ Holiday Pack', value = 0)\n",
    "gamesprice = gamesprice.replace(to_replace = 'Play the Demo', value = 0)\n",
    "gamesprice = gamesprice.replace(to_replace = 'Starting at $499.00', value = 0)\n",
    "gamesprice = gamesprice.replace(to_replace = 'Starting at $449.00', value = 0)\n",
    "gamesprice = gamesprice.replace(to_replace = 'Free to Try', value = 0)\n",
    "gamesprice = gamesprice.replace(to_replace = 'Free Movie', value = 0)\n",
    "gamesprice = gamesprice.replace(to_replace = 'Free to Use', value = 0)\n",
    "gamesprice[['app_name','price']].head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "# Convert to float\n",
    "gamesprice['price'] = gamesprice['price'].astype(float)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    30758.000000\n",
       "mean         8.866855\n",
       "std         15.903457\n",
       "min          0.000000\n",
       "25%          2.990000\n",
       "50%          4.990000\n",
       "75%          9.990000\n",
       "max        995.000000\n",
       "Name: price, dtype: float64"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get summary statistics\n",
    "gamesprice['price'].describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We see that 75% of games are under $10! Looks like the majority of games are cheap."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "belowcentile = gamesprice[gamesprice['price'] < gamesprice['price'].quantile(0.99)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    30440.000000\n",
       "mean         7.879879\n",
       "std          8.100161\n",
       "min          0.000000\n",
       "25%          2.990000\n",
       "50%          4.990000\n",
       "75%          9.990000\n",
       "max         49.990000\n",
       "Name: price, dtype: float64"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "belowcentile['price'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "belowcentile['price'].hist()\n",
    "plt.xlabel('Цена в USD')\n",
    "plt.ylabel('Число видеигр')\n",
    "plt.title('Распредение стоимости игр')\n",
    "plt.savefig('Images/price.pdf', bbox_inches = \"tight\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Recommendation**: Focus on volume of sales as the 75% of games are below $10. Highlights the importance of bundles for higher single transactions and where the user may not be interested in all games but still think it worthwhile."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Game genre"
   ]
  },
  {
   "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>publisher</th>\n",
       "      <th>genres</th>\n",
       "      <th>app_name</th>\n",
       "      <th>title</th>\n",
       "      <th>url</th>\n",
       "      <th>release_date</th>\n",
       "      <th>tags</th>\n",
       "      <th>discount_price</th>\n",
       "      <th>reviews_url</th>\n",
       "      <th>specs</th>\n",
       "      <th>price</th>\n",
       "      <th>early_access</th>\n",
       "      <th>id</th>\n",
       "      <th>developer</th>\n",
       "      <th>sentiment</th>\n",
       "      <th>metascore</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Kotoshiro</td>\n",
       "      <td>['Action', 'Casual', 'Indie', 'Simulation', 'S...</td>\n",
       "      <td>Lost Summoner Kitty</td>\n",
       "      <td>Lost Summoner Kitty</td>\n",
       "      <td>http://store.steampowered.com/app/761140/Lost_...</td>\n",
       "      <td>2018-01-04</td>\n",
       "      <td>['Strategy', 'Action', 'Indie', 'Casual', 'Sim...</td>\n",
       "      <td>4.49</td>\n",
       "      <td>http://steamcommunity.com/app/761140/reviews/?...</td>\n",
       "      <td>['Single-player']</td>\n",
       "      <td>4.99</td>\n",
       "      <td>False</td>\n",
       "      <td>761140.0</td>\n",
       "      <td>Kotoshiro</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Making Fun, Inc.</td>\n",
       "      <td>['Free to Play', 'Indie', 'RPG', 'Strategy']</td>\n",
       "      <td>Ironbound</td>\n",
       "      <td>Ironbound</td>\n",
       "      <td>http://store.steampowered.com/app/643980/Ironb...</td>\n",
       "      <td>2018-01-04</td>\n",
       "      <td>['Free to Play', 'Strategy', 'Indie', 'RPG', '...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://steamcommunity.com/app/643980/reviews/?...</td>\n",
       "      <td>['Single-player', 'Multi-player', 'Online Mult...</td>\n",
       "      <td>Free To Play</td>\n",
       "      <td>False</td>\n",
       "      <td>643980.0</td>\n",
       "      <td>Secret Level SRL</td>\n",
       "      <td>Mostly Positive</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Poolians.com</td>\n",
       "      <td>['Casual', 'Free to Play', 'Indie', 'Simulatio...</td>\n",
       "      <td>Real Pool 3D - Poolians</td>\n",
       "      <td>Real Pool 3D - Poolians</td>\n",
       "      <td>http://store.steampowered.com/app/670290/Real_...</td>\n",
       "      <td>2017-07-24</td>\n",
       "      <td>['Free to Play', 'Simulation', 'Sports', 'Casu...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://steamcommunity.com/app/670290/reviews/?...</td>\n",
       "      <td>['Single-player', 'Multi-player', 'Online Mult...</td>\n",
       "      <td>Free to Play</td>\n",
       "      <td>False</td>\n",
       "      <td>670290.0</td>\n",
       "      <td>Poolians.com</td>\n",
       "      <td>Mostly Positive</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>彼岸领域</td>\n",
       "      <td>['Action', 'Adventure', 'Casual']</td>\n",
       "      <td>弹炸人2222</td>\n",
       "      <td>弹炸人2222</td>\n",
       "      <td>http://store.steampowered.com/app/767400/2222/</td>\n",
       "      <td>2017-12-07</td>\n",
       "      <td>['Action', 'Adventure', 'Casual']</td>\n",
       "      <td>0.83</td>\n",
       "      <td>http://steamcommunity.com/app/767400/reviews/?...</td>\n",
       "      <td>['Single-player']</td>\n",
       "      <td>0.99</td>\n",
       "      <td>False</td>\n",
       "      <td>767400.0</td>\n",
       "      <td>彼岸领域</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Log Challenge</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://store.steampowered.com/app/773570/Log_C...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['Action', 'Indie', 'Casual', 'Sports']</td>\n",
       "      <td>1.79</td>\n",
       "      <td>http://steamcommunity.com/app/773570/reviews/?...</td>\n",
       "      <td>['Single-player', 'Full controller support', '...</td>\n",
       "      <td>2.99</td>\n",
       "      <td>False</td>\n",
       "      <td>773570.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          publisher                                             genres  \\\n",
       "0         Kotoshiro  ['Action', 'Casual', 'Indie', 'Simulation', 'S...   \n",
       "1  Making Fun, Inc.       ['Free to Play', 'Indie', 'RPG', 'Strategy']   \n",
       "2      Poolians.com  ['Casual', 'Free to Play', 'Indie', 'Simulatio...   \n",
       "3              彼岸领域                  ['Action', 'Adventure', 'Casual']   \n",
       "4               NaN                                                NaN   \n",
       "\n",
       "                  app_name                    title  \\\n",
       "0      Lost Summoner Kitty      Lost Summoner Kitty   \n",
       "1                Ironbound                Ironbound   \n",
       "2  Real Pool 3D - Poolians  Real Pool 3D - Poolians   \n",
       "3                  弹炸人2222                  弹炸人2222   \n",
       "4            Log Challenge                      NaN   \n",
       "\n",
       "                                                 url release_date  \\\n",
       "0  http://store.steampowered.com/app/761140/Lost_...   2018-01-04   \n",
       "1  http://store.steampowered.com/app/643980/Ironb...   2018-01-04   \n",
       "2  http://store.steampowered.com/app/670290/Real_...   2017-07-24   \n",
       "3     http://store.steampowered.com/app/767400/2222/   2017-12-07   \n",
       "4  http://store.steampowered.com/app/773570/Log_C...          NaN   \n",
       "\n",
       "                                                tags  discount_price  \\\n",
       "0  ['Strategy', 'Action', 'Indie', 'Casual', 'Sim...            4.49   \n",
       "1  ['Free to Play', 'Strategy', 'Indie', 'RPG', '...             NaN   \n",
       "2  ['Free to Play', 'Simulation', 'Sports', 'Casu...             NaN   \n",
       "3                  ['Action', 'Adventure', 'Casual']            0.83   \n",
       "4            ['Action', 'Indie', 'Casual', 'Sports']            1.79   \n",
       "\n",
       "                                         reviews_url  \\\n",
       "0  http://steamcommunity.com/app/761140/reviews/?...   \n",
       "1  http://steamcommunity.com/app/643980/reviews/?...   \n",
       "2  http://steamcommunity.com/app/670290/reviews/?...   \n",
       "3  http://steamcommunity.com/app/767400/reviews/?...   \n",
       "4  http://steamcommunity.com/app/773570/reviews/?...   \n",
       "\n",
       "                                               specs         price  \\\n",
       "0                                  ['Single-player']          4.99   \n",
       "1  ['Single-player', 'Multi-player', 'Online Mult...  Free To Play   \n",
       "2  ['Single-player', 'Multi-player', 'Online Mult...  Free to Play   \n",
       "3                                  ['Single-player']          0.99   \n",
       "4  ['Single-player', 'Full controller support', '...          2.99   \n",
       "\n",
       "   early_access        id         developer        sentiment  metascore  \n",
       "0         False  761140.0         Kotoshiro              NaN        NaN  \n",
       "1         False  643980.0  Secret Level SRL  Mostly Positive        NaN  \n",
       "2         False  670290.0      Poolians.com  Mostly Positive        NaN  \n",
       "3         False  767400.0              彼岸领域              NaN        NaN  \n",
       "4         False  773570.0               NaN              NaN        NaN  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gamesdata.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[\"['Action', 'Casual', 'Indie', 'Simulation', 'Strategy']\",\n",
       " \"['Free to Play', 'Indie', 'RPG', 'Strategy']\",\n",
       " \"['Casual', 'Free to Play', 'Indie', 'Simulation', 'Sports']\",\n",
       " \"['Action', 'Adventure', 'Casual']\",\n",
       " \"['Action', 'Adventure', 'Simulation']\",\n",
       " \"['Free to Play', 'Indie', 'Simulation', 'Sports']\",\n",
       " \"['Casual', 'Indie', 'Racing', 'Simulation']\",\n",
       " \"['Action', 'Indie', 'Simulation', 'Early Access']\",\n",
       " \"['Action', 'Adventure', 'Casual', 'Indie', 'RPG']\",\n",
       " \"['Casual', 'Indie']\"]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create copy\n",
    "gamegenres = gamesdata.copy()\n",
    "\n",
    "# Drop NaN\n",
    "gamegenres = gamegenres[gamegenres['genres'].notnull()]\n",
    "\n",
    "# Get unique lists\n",
    "genres = list(gamegenres['genres'].unique())\n",
    "\n",
    "genres[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\"['Action', 'Casual', 'Indie', 'Simulation', 'Strategy'],['Free to Play', 'Indie', 'RPG', 'Strategy']\""
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Combine all strings\n",
    "allgenres = ','.join(genres)\n",
    "\n",
    "# Preview first 100 characters\n",
    "allgenres[:100]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Action,Casual,Indie,Simulation,Strategy,FreetoPlay,Indie,RPG,Strategy,Casual,FreetoPlay,Indie,Simula'"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Replace chars\n",
    "allgenres = allgenres.replace(\"[\",\"\").replace(\"]\", \"\").replace(\"'\", \"\").replace(\" \",\"\")\n",
    "\n",
    "# Check\n",
    "allgenres[:100]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Action', 'Casual', 'Indie', 'Simulation', 'Strategy']"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Split\n",
    "splitgenres = allgenres.split(',')\n",
    "splitgenres[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Accounting',\n",
       " 'Action',\n",
       " 'Adventure',\n",
       " 'Animation&amp;Modeling',\n",
       " 'AudioProduction',\n",
       " 'Casual',\n",
       " 'Design&amp;Illustration',\n",
       " 'EarlyAccess',\n",
       " 'Education',\n",
       " 'FreetoPlay',\n",
       " 'Indie',\n",
       " 'MassivelyMultiplayer',\n",
       " 'PhotoEditing',\n",
       " 'RPG',\n",
       " 'Racing',\n",
       " 'Simulation',\n",
       " 'SoftwareTraining',\n",
       " 'Sports',\n",
       " 'Strategy',\n",
       " 'Utilities',\n",
       " 'VideoProduction',\n",
       " 'WebPublishing'}"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Use set to obtain unique values\n",
    "uniquegenres = set(splitgenres)\n",
    "uniquegenres"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "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>publisher</th>\n",
       "      <th>genres</th>\n",
       "      <th>app_name</th>\n",
       "      <th>title</th>\n",
       "      <th>url</th>\n",
       "      <th>release_date</th>\n",
       "      <th>tags</th>\n",
       "      <th>discount_price</th>\n",
       "      <th>reviews_url</th>\n",
       "      <th>specs</th>\n",
       "      <th>...</th>\n",
       "      <th>MassivelyMultiplayer</th>\n",
       "      <th>Casual</th>\n",
       "      <th>Action</th>\n",
       "      <th>AudioProduction</th>\n",
       "      <th>Strategy</th>\n",
       "      <th>WebPublishing</th>\n",
       "      <th>Sports</th>\n",
       "      <th>FreetoPlay</th>\n",
       "      <th>SoftwareTraining</th>\n",
       "      <th>VideoProduction</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Kotoshiro</td>\n",
       "      <td>[Action, Casual, Indie, Simulation, Strategy]</td>\n",
       "      <td>Lost Summoner Kitty</td>\n",
       "      <td>Lost Summoner Kitty</td>\n",
       "      <td>http://store.steampowered.com/app/761140/Lost_...</td>\n",
       "      <td>2018-01-04</td>\n",
       "      <td>['Strategy', 'Action', 'Indie', 'Casual', 'Sim...</td>\n",
       "      <td>4.49</td>\n",
       "      <td>http://steamcommunity.com/app/761140/reviews/?...</td>\n",
       "      <td>['Single-player']</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Making Fun, Inc.</td>\n",
       "      <td>[FreetoPlay, Indie, RPG, Strategy]</td>\n",
       "      <td>Ironbound</td>\n",
       "      <td>Ironbound</td>\n",
       "      <td>http://store.steampowered.com/app/643980/Ironb...</td>\n",
       "      <td>2018-01-04</td>\n",
       "      <td>['Free to Play', 'Strategy', 'Indie', 'RPG', '...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://steamcommunity.com/app/643980/reviews/?...</td>\n",
       "      <td>['Single-player', 'Multi-player', 'Online Mult...</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2 rows × 38 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          publisher                                         genres  \\\n",
       "0         Kotoshiro  [Action, Casual, Indie, Simulation, Strategy]   \n",
       "1  Making Fun, Inc.             [FreetoPlay, Indie, RPG, Strategy]   \n",
       "\n",
       "              app_name                title  \\\n",
       "0  Lost Summoner Kitty  Lost Summoner Kitty   \n",
       "1            Ironbound            Ironbound   \n",
       "\n",
       "                                                 url release_date  \\\n",
       "0  http://store.steampowered.com/app/761140/Lost_...   2018-01-04   \n",
       "1  http://store.steampowered.com/app/643980/Ironb...   2018-01-04   \n",
       "\n",
       "                                                tags  discount_price  \\\n",
       "0  ['Strategy', 'Action', 'Indie', 'Casual', 'Sim...            4.49   \n",
       "1  ['Free to Play', 'Strategy', 'Indie', 'RPG', '...             NaN   \n",
       "\n",
       "                                         reviews_url  \\\n",
       "0  http://steamcommunity.com/app/761140/reviews/?...   \n",
       "1  http://steamcommunity.com/app/643980/reviews/?...   \n",
       "\n",
       "                                               specs  ...  \\\n",
       "0                                  ['Single-player']  ...   \n",
       "1  ['Single-player', 'Multi-player', 'Online Mult...  ...   \n",
       "\n",
       "  MassivelyMultiplayer Casual  Action AudioProduction Strategy  WebPublishing  \\\n",
       "0                  0.0    1.0     1.0             0.0      1.0            0.0   \n",
       "1                  0.0    0.0     0.0             0.0      1.0            0.0   \n",
       "\n",
       "   Sports  FreetoPlay  SoftwareTraining  VideoProduction  \n",
       "0     0.0         0.0               0.0              0.0  \n",
       "1     0.0         1.0               0.0              0.0  \n",
       "\n",
       "[2 rows x 38 columns]"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create columns with genres\n",
    "for genre in uniquegenres:\n",
    "    gamegenres[genre] = 0\n",
    "    \n",
    "# Split genres in genres column\n",
    "gamegenres['genres'] = gamegenres['genres'].map(lambda x : x.replace(\"[\",\" \").replace(\"]\", \"\").replace(\"'\", \"\").replace(\" \",\"\").split(','))\n",
    "\n",
    "# Map to columns - set to 1 if genre applies\n",
    "for index, genres in enumerate(gamegenres['genres']):\n",
    "    for genre in genres:\n",
    "        gamegenres.loc[index,genre] = 1\n",
    "        \n",
    "# Visuale the new columns\n",
    "gamegenres.head(2)  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['publisher', 'genres', 'app_name', 'title', 'url', 'release_date',\n",
       "       'tags', 'discount_price', 'reviews_url', 'specs', 'price',\n",
       "       'early_access', 'id', 'developer', 'sentiment', 'metascore', 'RPG',\n",
       "       'PhotoEditing', 'EarlyAccess', 'Education', 'Accounting', 'Utilities',\n",
       "       'Indie', 'Animation&amp;Modeling', 'Racing', 'Design&amp;Illustration',\n",
       "       'Simulation', 'Adventure', 'MassivelyMultiplayer', 'Casual', 'Action',\n",
       "       'AudioProduction', 'Strategy', 'WebPublishing', 'Sports', 'FreetoPlay',\n",
       "       'SoftwareTraining', 'VideoProduction'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gamegenres.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Start with empty dictionary\n",
    "genredict = {}\n",
    "\n",
    "# Get genre columns\n",
    "# genrecols = gamegenres.loc[:, 'Casual':'Adventure'].columns\n",
    "\n",
    "genrecols = gamegenres.loc[:, 'WebPublishing':'Design&amp;Illustration'].columns\n",
    "\n",
    "# Go through each column and sum it\n",
    "for col in genrecols:\n",
    "    genredict[col] = gamegenres[col].sum()\n",
    "        \n",
    "# sort dictionary based on counts, ascending order so reverse = True    \n",
    "sortedgenresdict = {keys: values for keys, values in \\\n",
    "                        sorted(genredict.items(), key = lambda item: item[1], reverse = True)}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{}"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# View dictionary\n",
    "# import pandas as pd\n",
    "# a = pd.DataFrame(data=sortedgenresdict.)\n",
    "# sorted_df =  pd.Dataframe(sortedgenresdict)\n",
    "# sorted_df\n",
    "sortedgenresdict"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We see that Indie is the most popular genre, followed by Action. On the other end of the spectrum, there are few entries relating to Photo Editing and only 7 for Accounting. This makes sense as Steam is a gaming platform, and so photo editing or accounting software doesn't really belong."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Game tags"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[\"['Strategy', 'Action', 'Indie', 'Casual', 'Simulation']\",\n",
       " \"['Free to Play', 'Strategy', 'Indie', 'RPG', 'Card Game', 'Trading Card Game', 'Turn-Based', 'Fantasy', 'Tactical', 'Dark Fantasy', 'Board Game', 'PvP', '2D', 'Competitive', 'Replay Value', 'Character Customization', 'Female Protagonist', 'Difficult', 'Design & Illustration']\",\n",
       " \"['Free to Play', 'Simulation', 'Sports', 'Casual', 'Indie', 'Multiplayer']\",\n",
       " \"['Action', 'Adventure', 'Casual']\",\n",
       " \"['Action', 'Adventure', 'Simulation', 'FPS', 'Shooter', 'Third-Person Shooter', 'Sniper', 'Third Person']\"]"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create copy\n",
    "gametags = gamesdata.copy()\n",
    "\n",
    "# Drop NaN\n",
    "gametags = gamegenres[gamegenres['tags'].notnull()]\n",
    "\n",
    "# Get unique lists\n",
    "tags = list(gametags['tags'].unique())\n",
    "\n",
    "# View first 5\n",
    "tags[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\"['Strategy', 'Action', 'Indie', 'Casual', 'Simulation'],['Free to Play', 'Strategy', 'Indie', 'RPG',\""
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Combine all strings\n",
    "alltags = ','.join(tags)\n",
    "\n",
    "# Preview first 100 characters\n",
    "alltags[:100]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "' Strategy, Action, Indie, Casual, Simulation, Free to Play, Strategy, Indie, RPG, Card Game, Trading'"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Replace chars\n",
    "alltags = alltags.replace(\"[\",\" \").replace(\"]\", \"\").replace(\"'\", \"\")\n",
    "\n",
    "# Check\n",
    "alltags[:100]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Strategy', ' Action', ' Indie', ' Casual', ' Simulation']"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Split\n",
    "splittags = alltags[1:].split(',')\n",
    "splittags[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "337"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Use set to obtain unique values\n",
    "uniquetags = set(splittags)\n",
    "len(uniquetags)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Top publishers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Select entries where publisher is non-null\n",
    "data = gamesdata[gamesdata['publisher'].notnull()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create dictionary\n",
    "game_publishers = {}\n",
    "for publisher in list(data['publisher']):\n",
    "    if not publisher in game_publishers:\n",
    "        game_publishers[publisher] = 1\n",
    "    else:\n",
    "        game_publishers[publisher] += 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Ubisoft': 385,\n",
       " 'Dovetail Games - Trains': 360,\n",
       " 'Degica': 286,\n",
       " 'Paradox Interactive': 271,\n",
       " 'SEGA': 251,\n",
       " 'Dovetail Games - Flight': 220,\n",
       " 'KOEI TECMO GAMES CO., LTD.': 208,\n",
       " 'Activision': 202,\n",
       " 'Big Fish Games': 195,\n",
       " 'KISS ltd': 189}"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get top 10 publishers\n",
    "top10_publishers = dict(Counter(game_publishers).most_common(10))\n",
    "top10_publishers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Prepare for bar chart plot\n",
    "top10_publishers = dict(sorted(Counter(game_publishers).most_common(10), key=lambda x:x[1]))\n",
    "\n",
    "# Plots most popular publishers\n",
    "fig = plt.figure(figsize = (8,4))\n",
    "plt.barh(range(len(top10_publishers)), list(top10_publishers.values()), align='center')\n",
    "plt.yticks(range(len(top10_publishers)), list(top10_publishers.keys()), fontsize=12)\n",
    "plt.title(\"Наиболее популярные изддатели\", fontsize=12, fontweight= 22)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
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