3_eda.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "90a1777f-7176-40a4-b672-01a76e175202",
   "metadata": {},
   "source": [
    "# Exploratory Data Analysis\n",
    "\n",
    "On this notebook, an exploratory data analysis will be performed over the cleaned data."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "88cc8e40-f6b6-4196-b21b-3bebe70da25b",
   "metadata": {},
   "source": [
    "## Importing dependencies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "3a0d714d-a6b1-46c5-b898-7c68099a4ab6",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd # To handle data\n",
    "import seaborn as sns # To visualize data\n",
    "# To prettify pandas dataframes prints\n",
    "pd.set_option('expand_frame_repr', False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "da16f73f-3713-4506-beec-2d81cbcaff62",
   "metadata": {},
   "source": [
    "## Loading data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "bb4581f7-6633-4edb-818b-b37f139e73b5",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Loading clean video games and platforms datasets\n",
    "games_df = pd.read_csv('./cleaned_data/games.zip')\n",
    "platforms_df = pd.read_csv('./cleaned_data/platforms.zip')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ed605e25-df60-40ab-ba8e-f0866f179a9c",
   "metadata": {},
   "source": [
    "## EDA"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "00dedd15-6c2e-4eb6-81fd-91a26134a45a",
   "metadata": {},
   "source": [
    "### Platforms dataframe"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c6808581-41a8-41b0-88a5-67088010ea89",
   "metadata": {},
   "source": [
    "#### Dataframe glimpse"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "8e54d7bf-3c31-4360-bb02-c1789d86b7c8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    id        platform          version  category  generation platform_family         region release_date\n",
      "0  158  Commodore CDTV  Initial version  computer         4.0             NaN  north_america   1991-03-03\n",
      "1  158  Commodore CDTV  Initial version  computer         4.0             NaN         europe   1991-11-14\n",
      "2  158  Commodore CDTV  Initial version  computer         4.0             NaN      australia   1991-07-12\n",
      "3    8   PlayStation 2  Initial version   console         6.0     PlayStation          japan   2000-03-04\n",
      "4    8   PlayStation 2  Initial version   console         6.0     PlayStation  north_america   2000-10-26\n",
      "...\n",
      "     id         platform          version category  generation platform_family         region release_date\n",
      "378   7      PlayStation    PlayStation 1  console         5.0     PlayStation          japan   1994-12-03\n",
      "379   7      PlayStation    PlayStation 1  console         5.0     PlayStation  north_america   1995-09-09\n",
      "380   7      PlayStation    PlayStation 1  console         5.0     PlayStation         europe   1995-09-29\n",
      "381   7      PlayStation    PlayStation 1  console         5.0     PlayStation      australia   1995-11-15\n",
      "382  99  Family Computer  Initial version  console         3.0        Nintendo            NaN          NaN\n"
     ]
    }
   ],
   "source": [
    "print(platforms_df.head())\n",
    "print('...')\n",
    "print(platforms_df.tail())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "cd54edc2-ceb2-4e63-a4b8-83f5fd624f99",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 383 entries, 0 to 382\n",
      "Data columns (total 8 columns):\n",
      " #   Column           Non-Null Count  Dtype  \n",
      "---  ------           --------------  -----  \n",
      " 0   id               383 non-null    int64  \n",
      " 1   platform         383 non-null    object \n",
      " 2   version          383 non-null    object \n",
      " 3   category         374 non-null    object \n",
      " 4   generation       345 non-null    float64\n",
      " 5   platform_family  200 non-null    object \n",
      " 6   region           325 non-null    object \n",
      " 7   release_date     325 non-null    object \n",
      "dtypes: float64(1), int64(1), object(6)\n",
      "memory usage: 24.1+ KB\n"
     ]
    }
   ],
   "source": [
    "platforms_df.info() "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2c1b9b89-53b1-413a-8b22-976d8e4833e1",
   "metadata": {},
   "source": [
    "We need to adjust `release_date` column to convert its values to datetimes and `generation` column to be treated as integers."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "d20ed701-bb59-48a6-9091-d1701f2a6373",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 383 entries, 0 to 382\n",
      "Data columns (total 8 columns):\n",
      " #   Column           Non-Null Count  Dtype         \n",
      "---  ------           --------------  -----         \n",
      " 0   id               383 non-null    int64         \n",
      " 1   platform         383 non-null    object        \n",
      " 2   version          383 non-null    object        \n",
      " 3   category         374 non-null    object        \n",
      " 4   generation       345 non-null    Int64         \n",
      " 5   platform_family  200 non-null    object        \n",
      " 6   region           325 non-null    object        \n",
      " 7   release_date     325 non-null    datetime64[ns]\n",
      "dtypes: Int64(1), datetime64[ns](1), int64(1), object(5)\n",
      "memory usage: 24.4+ KB\n"
     ]
    }
   ],
   "source": [
    "platforms_df = platforms_df.astype(\n",
    "    {'generation':'Int64', \n",
    "     'release_date':'datetime64'\n",
    "    }\n",
    ")\n",
    "platforms_df.info() "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "679fba98-d04b-4a59-9866-8c7088720b1a",
   "metadata": {},
   "source": [
    "Now, we will take a look to the missing values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "a5dcb988-6a79-4079-90aa-23cbf12801a7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of missing values per column\n",
      "\n",
      "Total rows = 383\n",
      "\n",
      "id (int64): 0 = 0.0%\n",
      "platform (object): 0 = 0.0%\n",
      "version (object): 0 = 0.0%\n",
      "category (object): 9 = 2.3498694516971277%\n",
      "generation (Int64): 38 = 9.921671018276761%\n",
      "platform_family (object): 183 = 47.78067885117493%\n",
      "region (object): 58 = 15.143603133159269%\n",
      "release_date (datetime64[ns]): 58 = 15.143603133159269%\n"
     ]
    }
   ],
   "source": [
    "print('Number of missing values per column\\n')\n",
    "n_rows = len(platforms_df)\n",
    "print(f'Total rows = {len(platforms_df)}\\n')\n",
    "\n",
    "for c in platforms_df.columns:\n",
    "    n_nans = platforms_df[c].isna().sum()\n",
    "    print(f'{c} ({platforms_df[c].dtype}): {n_nans} = {(n_nans/n_rows)*100}%')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b6884285-df0e-4740-a640-cd387d28b3ae",
   "metadata": {},
   "source": [
    "As we discussed in the [data cleaning notebook](https://github.com/Pedro-Hdez/feature-engeneering-process/blob/main/2_data_cleaning.ipynb), missing values on this dataframe are not of major importance since it is an auxiliar dataframe."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "47af06b8-4f71-4c54-becd-f3febc1f7f04",
   "metadata": {},
   "source": [
    "#### Counting frequencies"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "96aa91ea-0144-417f-b25e-5a7545f512da",
   "metadata": {},
   "source": [
    "##### Number of unique values per column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "0bf10c66-7a6a-40a8-9224-94be456befce",
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Set figure size and background\n",
    "sns.set(rc = {'figure.figsize':(15,8)})\n",
    "sns.set_style(\"dark\")\n",
    "\n",
    "# Getting number of unique values per column\n",
    "nu = platforms_df.iloc[:,1:].nunique().reset_index()\n",
    "nu.columns = ['feature','nunique']\n",
    "\n",
    "# Plotting unique values in a barplot\n",
    "ax = sns.barplot(\n",
    "    x='feature', \n",
    "    y='nunique', \n",
    "    data=nu,\n",
    "    color=(70/255, 51/255, 255/255, 0.8)\n",
    ")\n",
    "\n",
    "ax.set_title(\n",
    "    \"Number of unique values per column in Platforms Dataframe\", \n",
    "    fontsize = 18)\n",
    "ax.set_xlabel(\"\", fontsize = 15)\n",
    "ax.set_ylabel(\"\", fontsize = 15)\n",
    "ax.axes.yaxis.set_ticklabels([])\n",
    "\n",
    "# Adding the bars actual value\n",
    "i = 0\n",
    "for c in platforms_df.columns[1:]:\n",
    "    value = len(platforms_df[c].unique())\n",
    "    ax.text(i,value+1, int(value), color='black', ha=\"center\", fontsize=15)\n",
    "    i += 1"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b2602d58-8e98-419e-bb53-a978fe316520",
   "metadata": {},
   "source": [
    "Recall the dataframe is tidy, which means every row is a unique observation. Since a platform could have multiple versions and regions, a lot of rows will have their `platform` value repeated. For this reason we need to obtain a new dataframe containing only unique platforms."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "3f0c1430-c4bd-4a3a-9abf-3d38fa3b3200",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Sort the original dataframe by release date because we will group and then\n",
    "# take the first item of each group, so this first element will be the\n",
    "# observation related to the first time the platform was released.\n",
    "platforms_df = platforms_df.sort_values('release_date', ascending=True)\n",
    "# Getting unique platforms\n",
    "unique_platforms = platforms_df.groupby(\"platform\").first().reset_index()\n",
    "# Getting release year of the platforms\n",
    "unique_platforms['release_year'] = unique_platforms.release_date.dt.year\n",
    "# Getting release month of the platforms\n",
    "unique_platforms['release_month'] = unique_platforms.release_date.dt.month"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9fbe32d2-a65c-4d59-ae35-4290d1bfd012",
   "metadata": {},
   "source": [
    "The procedure to make a count plot regardless of the column is always the same, for this reason the following function was built."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "66fd71ab-5ce5-4042-8e2f-511c39dd9eee",
   "metadata": {},
   "outputs": [],
   "source": [
    "def plotCount(df, plot_size, column, title, xlabel, ylabel, col, ordr,\n",
    "              value_offset, rotate_xticks=False):\n",
    "    '''\n",
    "        This function makes a count plot using the dataframe \"unique_platforms\"\n",
    "        which contains all the platforms with no repetitons.\n",
    "        \n",
    "        Params\n",
    "        ------\n",
    "        df <pandas.DataFrame>: Dataframe where data is\n",
    "        plot_size <tuple>: tuple with desired with and height of the plot\n",
    "        column <str>: Column where frequencies will be obtained\n",
    "        title <str>: Plot title\n",
    "        xlabel <str>: X axis label\n",
    "        ylabel <str>: Y axis label\n",
    "        col <tuple>: Normalized rgba color \n",
    "        ordr <list>: List with the categories order to display\n",
    "        value_offset <float>: Distance from the bar to its value\n",
    "        rotate_xticks <bool>: Whether or not to rotate the x axis labels\n",
    "    '''\n",
    "    \n",
    "    # Setting plot size and background\n",
    "    sns.set(rc = {'figure.figsize':plot_size})\n",
    "    sns.set_style(\"dark\")\n",
    "    \n",
    "    # Building the countplot\n",
    "    countplot = sns.countplot(\n",
    "        data = df,\n",
    "        x=column,\n",
    "        color=col,\n",
    "        order = ordr\n",
    "    )\n",
    "    countplot.set_title(title, fontsize = 18)\n",
    "    countplot.set_xlabel(xlabel, fontsize = 15)\n",
    "    countplot.set_ylabel(ylabel, fontsize = 15)\n",
    "    countplot.axes.yaxis.set_ticklabels([])\n",
    "    \n",
    "    # Rotate x labels if necessary\n",
    "    if rotate_xticks:\n",
    "        for item in countplot.get_xticklabels():\n",
    "            item.set_rotation(45)\n",
    "    \n",
    "    # Adding the actual value to the bars\n",
    "    i = 0\n",
    "    for c in ordr:\n",
    "        value = len(df[df[column] == c])\n",
    "        countplot.text(i,value+value_offset, int(value), color='black', \n",
    "                       ha=\"center\", fontsize=15\n",
    "                      )\n",
    "        i += 1"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "95ba7093-28d2-435d-9f3d-dd130123b7d3",
   "metadata": {},
   "source": [
    "##### Category count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "8b17f607-bb70-4e25-bc8d-081e53f66c04",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "column = 'category'\n",
    "title = 'Platforms category count'\n",
    "xlabel = ''\n",
    "ylabel = ''\n",
    "plot_size = (15,8)\n",
    "color_platforms = (70/255, 51/255, 255/255, 0.8)\n",
    "ordr = unique_platforms[column].value_counts().index\n",
    "value_offset = .5\n",
    "plotCount(unique_platforms, plot_size, column, title, xlabel, ylabel, \n",
    "          color_platforms, ordr, value_offset\n",
    "         )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c85f06f5-8176-4347-92f3-0dd51d599dba",
   "metadata": {},
   "source": [
    "We can see `console` is the most populated category because up to the present day the most common way to play video games is through a console like Nintendo Wii, Playstation 4 or Xbox One. \n",
    "\n",
    "The second place goes to `computer` category and this is a particularly interesting discovery because majority of people doesn't know so many computer models, but an even more interesting fact is the release dates of this computers as we can see below: "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c302dfd8-20fc-4087-916a-ab0f7da98aba",
   "metadata": {},
   "source": [
    "##### *Computer* category release years"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "7422fbed-a122-4444-ad46-291589858782",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "boxplot = sns.boxplot(\n",
    "    x=unique_platforms[unique_platforms.category == 'computer'].release_year, \n",
    "    color=color_platforms\n",
    ")\n",
    "\n",
    "_ = boxplot.set_title(\n",
    "    'Computer category release year distribution', \n",
    "    fontsize = 18)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "183fa954-fe20-4a67-8c01-fd7c76be76f7",
   "metadata": {},
   "source": [
    "The models of the computers platforms are fairly old!"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "13700998-c05d-485f-bd94-16312a192ae7",
   "metadata": {},
   "source": [
    "##### Generation count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "a89fe8c6-07b8-4f1e-9d28-3f75f25b6900",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "column = 'generation'\n",
    "title = 'Platforms generation count'\n",
    "xlabel = 'Generation'\n",
    "ylabel = ''\n",
    "ordr = [i for i in range (1,10)]\n",
    "plotCount(unique_platforms, plot_size, column, title, xlabel, ylabel, \n",
    "          color_platforms, ordr, value_offset)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eb268818-9ee3-4b10-b33e-c62027015043",
   "metadata": {},
   "source": [
    "Fourth generation (1987-1993) is the most populated in terms of released consoles. This is because in those years the video games industry was young, fertile, and it was growing rapidly, then so many companies wanted to be part of it. "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f947c35a-0a1a-4513-be91-311e98057183",
   "metadata": {},
   "source": [
    "##### Family count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "524a4b32-c32c-4147-81c8-d1dfa12151ad",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "column = 'platform_family'\n",
    "title = 'Platforms family count'\n",
    "xlabel = ''\n",
    "ylabel = ''\n",
    "ordr = unique_platforms[column].value_counts().index\n",
    "value_offset = 0\n",
    "plotCount(unique_platforms, plot_size, column, title, xlabel, ylabel, \n",
    "          color_platforms, ordr, value_offset)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1cbc0e8e-5730-4edc-ac41-8aa2bc79f7d2",
   "metadata": {},
   "source": [
    "We can see  **Nintendo** as the family with more platforms. Because since ever this company is one of the strongest rivals to beat up."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8b2dc287-bfb5-4ca6-8843-455f7c2486c1",
   "metadata": {},
   "source": [
    "##### Release years"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "29dc1b3e-38ba-439a-86a3-fc7a16a5c8d7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "column = 'release_year'\n",
    "title = 'Platforms release year'\n",
    "xlabel = 'Year'\n",
    "ylabel = ''\n",
    "plot_size = (20,8)\n",
    "rotate_xticks = True\n",
    "ordr = [i for i in range(int(unique_platforms.release_year.min()), \n",
    "                         int(unique_platforms.release_year.max())+1)]\n",
    "plotCount(unique_platforms, plot_size, column, title, xlabel, ylabel, \n",
    "          color_platforms, ordr, value_offset, rotate_xticks)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ef185ac6-d2d7-4c8e-86bf-e7390fd6ca13",
   "metadata": {},
   "source": [
    "We can see platforms releases has been relatively uniform across the years."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a8a8c6de-57f8-4c7b-86eb-a088d90268ff",
   "metadata": {},
   "source": [
    "##### Release months"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "15ab9ba7-0927-421f-8486-d7aa0d48b10a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "column = 'release_month'\n",
    "title = 'Platforms release month'\n",
    "xlabel = 'Month'\n",
    "ylabel = ''\n",
    "plot_size = (15,8)\n",
    "ordr = [i for i in range(1,13)]\n",
    "plotCount(unique_platforms, plot_size, column, title, xlabel, ylabel, \n",
    "          color_platforms, ordr, value_offset)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9ffed7e5-3f5d-46f2-8b03-c730d74cf595",
   "metadata": {},
   "source": [
    "This plot is very interesting and we can see a business strategy here. Note that the majority of consoles has been released in november, but we can see the increase begins in september. This is so that the customers have time to know the platforms and buy them at Christmas. "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7140e728-6972-4ed0-af80-9aeceeecdc87",
   "metadata": {},
   "source": [
    "### Video games dataframe"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0db93b9c-ce35-4d19-9beb-baab0a3c4cac",
   "metadata": {},
   "source": [
    "#### Dataframe glimpse"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "1f08a5fa-356f-4fa3-b2eb-93fcc20d3399",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     id          name                platform release_date              genre   category     game_modes  total_rating\n",
      "0  2603  Battle Chess  PC (Microsoft Windows)   1988-10-01           Strategy  main_game  Single player      71.97295\n",
      "1  2603  Battle Chess  PC (Microsoft Windows)   1988-10-01           Strategy  main_game    Multiplayer      71.97295\n",
      "2  2603  Battle Chess  PC (Microsoft Windows)   1988-10-01  Card & Board Game  main_game  Single player      71.97295\n",
      "3  2603  Battle Chess  PC (Microsoft Windows)   1988-10-01  Card & Board Game  main_game    Multiplayer      71.97295\n",
      "4  2603  Battle Chess                  PC DOS   1988-10-01           Strategy  main_game  Single player      71.97295\n",
      "...\n",
      "           id                             name         platform release_date                       genre   category     game_modes  total_rating\n",
      "269309   9426                       Sweet Home  Family Computer   1989-12-15                   Adventure  main_game  Single player     60.141773\n",
      "269310   4628                    Magic Jewelry  Family Computer   1990-12-31                      Puzzle  main_game  Single player     79.960436\n",
      "269311   4628                    Magic Jewelry  Family Computer   1990-12-31                       Indie  main_game  Single player     79.960436\n",
      "269312  48653  Splatterhouse: Wanpaku Graffiti  Family Computer   1989-08-31                    Platform  main_game  Single player     79.820277\n",
      "269313  48653  Splatterhouse: Wanpaku Graffiti  Family Computer   1989-08-31  Hack and slash/Beat 'em up  main_game  Single player     79.820277\n"
     ]
    }
   ],
   "source": [
    "print(games_df.head())\n",
    "print('...')\n",
    "print(games_df.tail())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "a5796e13-1f67-4591-b2f8-407faa02c60c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 269314 entries, 0 to 269313\n",
      "Data columns (total 8 columns):\n",
      " #   Column        Non-Null Count   Dtype  \n",
      "---  ------        --------------   -----  \n",
      " 0   id            269314 non-null  int64  \n",
      " 1   name          269314 non-null  object \n",
      " 2   platform      269314 non-null  object \n",
      " 3   release_date  269244 non-null  object \n",
      " 4   genre         267810 non-null  object \n",
      " 5   category      269314 non-null  object \n",
      " 6   game_modes    262761 non-null  object \n",
      " 7   total_rating  269314 non-null  float64\n",
      "dtypes: float64(1), int64(1), object(6)\n",
      "memory usage: 16.4+ MB\n"
     ]
    }
   ],
   "source": [
    "games_df.info() "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ed422f52-f438-4404-9b00-2c59d7595e13",
   "metadata": {},
   "source": [
    "We need to adjust `release_date` column to convert its values to datetimes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "2755578e-e0a2-41a5-8a89-527241787114",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 269314 entries, 0 to 269313\n",
      "Data columns (total 8 columns):\n",
      " #   Column        Non-Null Count   Dtype         \n",
      "---  ------        --------------   -----         \n",
      " 0   id            269314 non-null  int64         \n",
      " 1   name          269314 non-null  object        \n",
      " 2   platform      269314 non-null  object        \n",
      " 3   release_date  269244 non-null  datetime64[ns]\n",
      " 4   genre         267810 non-null  object        \n",
      " 5   category      269314 non-null  object        \n",
      " 6   game_modes    262761 non-null  object        \n",
      " 7   total_rating  269314 non-null  float64       \n",
      "dtypes: datetime64[ns](1), float64(1), int64(1), object(5)\n",
      "memory usage: 16.4+ MB\n"
     ]
    }
   ],
   "source": [
    "games_df = games_df.astype({'release_date':'datetime64'})\n",
    "games_df.info() "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "de98f44c-79c0-434a-9969-0108a4f4d88d",
   "metadata": {},
   "source": [
    "Now, we will take a look to the missing values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "b4badd0b-1dc1-4889-9960-d9e8278cd95e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of missing values per column\n",
      "\n",
      "Total rows = 269314\n",
      "\n",
      "id (int64): 0 = 0.0%\n",
      "name (object): 0 = 0.0%\n",
      "platform (object): 0 = 0.0%\n",
      "release_date (datetime64[ns]): 70 = 0.02599196476974832%\n",
      "genre (object): 1504 = 0.558455928767164%\n",
      "category (object): 0 = 0.0%\n",
      "game_modes (object): 6553 = 2.433219216230868%\n",
      "total_rating (float64): 0 = 0.0%\n"
     ]
    }
   ],
   "source": [
    "print('Number of missing values per column\\n')\n",
    "n_rows = len(games_df)\n",
    "print(f'Total rows = {len(games_df)}\\n')\n",
    "\n",
    "for c in games_df.columns:\n",
    "    n_nans = games_df[c].isna().sum()\n",
    "    print(f'{c} ({games_df[c].dtype}): {n_nans} = {(n_nans/n_rows)*100}%')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7f320cbf-8b5f-4595-9ba1-0d9ab1461c2c",
   "metadata": {},
   "source": [
    "As we discussed in the [data cleaning notebook](https://github.com/Pedro-Hdez/feature-engeneering-process/blob/main/2_data_cleaning.ipynb), missing values on this dataframe are not of major importance since we have a very small percentage of them, at the end of the day the most important column is `total_rating` which have not Nans."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6b53459e-45b8-41e5-a3a6-39d5adb4f9c7",
   "metadata": {},
   "source": [
    "#### Counting frequencies"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a0c4c7fc-d569-4be4-a1f0-ab1fc490e66c",
   "metadata": {},
   "source": [
    "##### Number of unique values per column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "4973967b-e97d-4f51-bd98-b91e730f7d11",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Setting figure size and background\n",
    "sns.set(rc = {'figure.figsize':(15,8)})\n",
    "sns.set_style(\"dark\")\n",
    "# Color to represent games plots\n",
    "color_games = (255/255, 26/255, 26/255, 0.76)\n",
    "\n",
    "# Getting number os unique values per column\n",
    "nu = games_df.iloc[:,1:-1].nunique().reset_index()\n",
    "nu.columns = ['feature','nunique']\n",
    "\n",
    "# Plotting the unique values in a barplot\n",
    "ax = sns.barplot(\n",
    "    x='feature', \n",
    "    y='nunique', \n",
    "    data=nu,\n",
    "    color=color_games\n",
    ")\n",
    "\n",
    "ax.set_title(\n",
    "    \"Number of unique values per column in Video Games Dataframe\", \n",
    "    fontsize = 18\n",
    ")\n",
    "ax.set_xlabel(\"\", fontsize = 15)\n",
    "ax.set_ylabel(\"\", fontsize = 15)\n",
    "ax.axes.yaxis.set_ticklabels([])\n",
    "\n",
    "# Adding the actual value to each bar\n",
    "i = 0\n",
    "for c in games_df.columns[1:-1]:\n",
    "    value = len(games_df[c].unique())\n",
    "    ax.text(i,value+1, int(value), color='black', ha=\"center\", fontsize=15)\n",
    "    i += 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "e82c0be3-2b94-4bc3-9fad-7a1b96cf145a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Getting number of videogames per platform\n",
    "games_per_platform = games_df.groupby(\n",
    "    ['platform', \n",
    "     'name']\n",
    ").size().groupby('platform').size()\n",
    "\n",
    "# Getting platforms with most video games\n",
    "platforms_most_games = games_per_platform.nlargest(10).to_frame().reset_index()\n",
    "platforms_most_games.columns = ['platform', 'n_games']\n",
    "\n",
    "# Getting platforms with less video games\n",
    "platforms_less_games=games_per_platform.nsmallest(10).to_frame().reset_index()\n",
    "platforms_less_games.columns = ['platform', 'n_games']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8d1711d9-8f31-4ad4-bc7e-3a51f0cfbd81",
   "metadata": {},
   "source": [
    "##### Top ten platforms with most video games"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "40c934d1-79b7-467d-b9e4-881e6813fead",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Barplot\n",
    "barplot = sns.barplot(\n",
    "    data=platforms_most_games, \n",
    "    x='n_games',\n",
    "    y='platform',\n",
    "    color=color_games,\n",
    "    orient = 'h'\n",
    ")\n",
    "barplot.set_title(\"Top ten platforms with most video games\", fontsize = 18)\n",
    "barplot.set_xlabel(\"\")\n",
    "barplot.set_ylabel(\"\")\n",
    "barplot.axes.xaxis.set_ticklabels([])\n",
    "\n",
    "# Adding actual value to each bar\n",
    "for i in range(len(platforms_most_games)):\n",
    "    value = platforms_most_games.iloc[i,1]\n",
    "    barplot.text(value+500, i, int(value), color='black', ha=\"center\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "532b6f7f-9d16-477e-b28e-04b6b8a1a095",
   "metadata": {},
   "source": [
    "It is impressive how Windows operating system has more than three times video games than the second place. Also, is very interesting that in the top ten we have four operating systems along six consoles!"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ca637726-b5ee-4f6c-9db6-a5af8cde048d",
   "metadata": {},
   "source": [
    "##### Top ten platforms with less video games"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "a90f55f7-8576-4867-9196-fa8e9d4f1b02",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Barplot\n",
    "barplot = sns.barplot(\n",
    "    data=platforms_less_games, \n",
    "    x='n_games',\n",
    "    y='platform',\n",
    "    color=color_games,\n",
    "    orient = 'h'\n",
    ")\n",
    "barplot.set_title(\"Top ten platforms with less video games\", fontsize = 18)\n",
    "barplot.set_xlabel(\"\")\n",
    "barplot.set_ylabel(\"\")\n",
    "barplot.axes.xaxis.set_ticklabels([])\n",
    "\n",
    "# Adding actual value to each bar\n",
    "for i in range(len(platforms_less_games)):\n",
    "    value = platforms_less_games.iloc[i,1]\n",
    "    barplot.text(value+.005, i, int(value), color='black', ha=\"center\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6eccfffe-e007-4139-a46e-b6883406c05f",
   "metadata": {},
   "source": [
    "The top ten platforms with less video games only have one registered. If we check their release dates may encounter the reason of this"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "61c1ae4c-ced0-4a0e-8687-47884f4afa5c",
   "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>id</th>\n",
       "      <th>version</th>\n",
       "      <th>category</th>\n",
       "      <th>generation</th>\n",
       "      <th>platform_family</th>\n",
       "      <th>region</th>\n",
       "      <th>release_date</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>platform</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1292 Advanced Programmable Video System</th>\n",
       "      <td>139</td>\n",
       "      <td>Acetronic MPU-1000</td>\n",
       "      <td>console</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>worldwide</td>\n",
       "      <td>1979-01-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AY-3-8606</th>\n",
       "      <td>147</td>\n",
       "      <td>Initial version</td>\n",
       "      <td>console</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bally Astrocade</th>\n",
       "      <td>91</td>\n",
       "      <td>Initial version</td>\n",
       "      <td>console</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CDC Cyber 70</th>\n",
       "      <td>109</td>\n",
       "      <td>Initial version</td>\n",
       "      <td>computer</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Commodore CDTV</th>\n",
       "      <td>158</td>\n",
       "      <td>Initial version</td>\n",
       "      <td>computer</td>\n",
       "      <td>4</td>\n",
       "      <td>None</td>\n",
       "      <td>north_america</td>\n",
       "      <td>1991-03-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DUPLICATE Stadia</th>\n",
       "      <td>203</td>\n",
       "      <td>Initial version</td>\n",
       "      <td>None</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Donner Model 30</th>\n",
       "      <td>85</td>\n",
       "      <td>Initial version</td>\n",
       "      <td>computer</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fairchild Channel F</th>\n",
       "      <td>127</td>\n",
       "      <td>Initial version</td>\n",
       "      <td>console</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>north_america</td>\n",
       "      <td>1976-11-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Game &amp; Watch</th>\n",
       "      <td>307</td>\n",
       "      <td>Initial version</td>\n",
       "      <td>portable console</td>\n",
       "      <td>2</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>worldwide</td>\n",
       "      <td>1980-04-28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Game.com</th>\n",
       "      <td>379</td>\n",
       "      <td>Initial version</td>\n",
       "      <td>portable console</td>\n",
       "      <td>4</td>\n",
       "      <td>None</td>\n",
       "      <td>north_america</td>\n",
       "      <td>1997-09-01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                          id             version          category  generation platform_family         region release_date\n",
       "platform                                                                                                                                  \n",
       "1292 Advanced Programmable Video System  139  Acetronic MPU-1000           console           2            None      worldwide   1979-01-01\n",
       "AY-3-8606                                147     Initial version           console        <NA>            None           None          NaT\n",
       "Bally Astrocade                           91     Initial version           console           2            None           None          NaT\n",
       "CDC Cyber 70                             109     Initial version          computer        <NA>            None           None          NaT\n",
       "Commodore CDTV                           158     Initial version          computer           4            None  north_america   1991-03-03\n",
       "DUPLICATE Stadia                         203     Initial version              None        <NA>            None           None          NaT\n",
       "Donner Model 30                           85     Initial version          computer        <NA>            None           None          NaT\n",
       "Fairchild Channel F                      127     Initial version           console           2            None  north_america   1976-11-01\n",
       "Game & Watch                             307     Initial version  portable console           2        Nintendo      worldwide   1980-04-28\n",
       "Game.com                                 379     Initial version  portable console           4            None  north_america   1997-09-01"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "platforms_df[\n",
    "    platforms_df.platform.isin(platforms_less_games.platform)\n",
    "].groupby('platform').first()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2a135f18-a4af-4d3a-9e90-8703b328cd36",
   "metadata": {},
   "source": [
    "As you can see, five of the ten are old. To be honest this consoles were not popular at all and is probable they have had very few games. Their age along their unpopularity explain why they have so few games registered."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9abf39bb-4ca7-4923-a946-048782566ff1",
   "metadata": {},
   "source": [
    "Now, as we have seen, the most popular way to play video games (and the highest market) are the consoles. So it would be interesting to know which consoles have more and less games."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "511f237d-4dd4-40a4-890b-4d5e9e7b2128",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Converting games per platform to a dataframe\n",
    "games_per_platform_df = games_per_platform.to_frame().reset_index()\n",
    "games_per_platform_df.columns = ['platform', 'n_games']\n",
    "\n",
    "# Getting games per console\n",
    "games_per_console = pd.merge(\n",
    "    platforms_df[platforms_df.category == 'console'], \n",
    "    games_per_platform_df, \n",
    "    on='platform', \n",
    "    how = 'right'\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "f181ddea-ce1e-44b4-94c8-d7a946b1f0ea",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Getting unique console names\n",
    "consoles_names_df = platforms_df[\n",
    "    platforms_df.category == 'console'\n",
    "].groupby('platform').size().to_frame().reset_index().iloc[:,0].to_frame()\n",
    "# Merging console names and games per platform with an left join to get the \n",
    "# number of games per console\n",
    "games_per_console = pd.merge(\n",
    "    consoles_names_df, \n",
    "    games_per_platform_df, \n",
    "    on='platform', \n",
    "    how='left'\n",
    ")\n",
    "\n",
    "consoles_most_games = games_per_console.nlargest(10, 'n_games')\n",
    "consoles_less_games = games_per_console.nsmallest(10, 'n_games')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "244cff7c-07c3-42b3-8a42-b7ff575c6b07",
   "metadata": {},
   "source": [
    "##### Top ten consoles with most video games"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "23b887ac-b3ac-4b19-a67b-badf5a850c09",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Barplot\n",
    "barplot = sns.barplot(\n",
    "    data=consoles_most_games, \n",
    "    x='n_games',\n",
    "    y='platform',\n",
    "    color=color_games,\n",
    "    orient = 'h'\n",
    ")\n",
    "barplot.set_title(\"Top ten consoles with most video games\", fontsize = 18)\n",
    "barplot.set_xlabel(\"\")\n",
    "barplot.set_ylabel(\"\")\n",
    "barplot.axes.xaxis.set_ticklabels([])\n",
    "\n",
    "# Adding actual value to each bar\n",
    "for i in range(len(consoles_most_games)):\n",
    "    value = consoles_most_games.iloc[i,1]\n",
    "    barplot.text(value+100, i, int(value), color='black', ha=\"center\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1e0d59d6-c64e-4549-862c-7fbfe884d628",
   "metadata": {},
   "source": [
    "We can see there is no place for another publisher but the three gigants of the industry: Nintendo, Playstation and Xbox."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "70e2d433-4140-42e0-9d15-a6041334cf21",
   "metadata": {},
   "source": [
    "##### Top ten consoles with less video games"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "33456c36-25b8-4523-bc8d-15d3bccc7bf5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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rr/l66mjQoIHWr19v/2/Lli32X5+jo6Ov65zu7u65tuVcT8uWLdWxY8er7p/zCNiqVatq1apV+u6777R+/Xp99913mjhxombNmqUFCxbk+vU+R7169VSwYEElJCTo5MmTslgseuqpp3To0CF9+OGHunDhgjZv3qymTZs6/NJ/vW7m7/h3NptNRYoUsS8C+nc5X3oLFCigiRMnat++ffr222+1adMmRUdHa8mSJXrttdf04osvSpKGDh2qLl26aNWqVdq0aZNWrVql+Ph4hYWF6d13382zjsaNG6tEiRJauXKlmjZtqpUrV6pBgwZ5Bn459+tqi2leGZbl/Lt///6qWbPmVY/18MMPO4Rwf3e1z+6VckbuXO199vfQYPz48Zo+fbqqVatmf2x1rVq1NHLkyFwL3l4ZdFzpWu+V671e6fJaKE2aNNGaNWu0ceNGbd26VZs3b9a8efO0ePHiq14PAPwdYQcAAPlAzi+zBw8ezLXt0KFDkuQwvSPnV9grHTlyRK6urqpQocINn9fV1VUNGzZ02PbHH38oMTFRhQsXvu7jXU2JEiVUqFAh+6/YV5oxY4ZSU1P1wgsvSLr+6/8nly5d0q+//qqyZcvK399f/v7+stls+vLLLzV27FgtX75cnTt31j333HPD5yxZsqQKFy6s7OzsXPfs+PHj2rt3rwoXLiyr1arffvtNHh4e8vX1tU8hWLFihQYOHKjFixcrMjLyqvUXLlxYderUUUJCgtLS0vTYY4/Jw8NDderUUVZWllatWqXff/9dffr0ue57cquVL19emzdvlre3t4oVK+awbdWqVSpevLiky/fk+PHjql27tqpUqaK+ffvqxIkT6tq1q2bMmKEXX3xRqamp+v3339WgQQP17NlTPXv21OnTp9WnTx8tWrRIgwcPVtGiRa9aR4ECBeTn56dvvvlG+/fv1++//64ePXrkWXdOEHX48GGH9pxRUY8++qj9+iTpnnvuyfV33r17t86ePatChQrd8Gc3r1oaN27ssO3K+o4dO6bp06crKCgo16iLG5l6dC3Xe70ZGRn69ddf9eijj6pdu3Zq166dLl26pHHjxmn27NnavHlzrqfIAMDVsGYHAAD5wOOPP65SpUpp/vz5Do/tTE9P17x581SqVCl5e3vb23/++Wft2rXL/jo1NVVxcXGqX7++w7oDf5fzi37OL86lS5eWt7e3li5dquTkZHu/rKwsvfnmm+rXr1+ux3reKDc3NzVq1EgbN250+AX67NmzmjFjhv7880/79cXFxenEiRP2PpcuXdKXX34pd3d3NWrU6LrPeebMGYWFhWnatGn2NhcXF/uUDxcXF7m6uqpJkybasmWLfvnlF3s/wzD0+eefy2KxXHUKhZubm5o2baqNGzfqt99+c9g2ZswY9enTR6dPn5bValWXLl303nvvOfSpUaOGvYZradq0qX744Qdt27ZNdevWlSQ99thjKlasmD799FO5ubnl+oL8dy4uLtf1WOCbkfOFdsqUKQ7t69atU79+/exPUZk6daqef/55h/dX2bJlVaZMGfs9iI6O1vPPP++wPkyJEiX04IMPymKx/OO9CggI0OnTp/XRRx+pUKFC9qcOXU21atVUvnx5zZ8/XxcuXLC3L1++XKdPn7a/9vb2VqlSpTRnzhxlZGTY29PT0+3To1xdXW/4s3slb29v3X///VqyZInD42N37dqlvXv32l/nPIHn79PXNm7cqMOHD//rz+iNXO/vv/+u8PBwh8cCu7u7q1q1apJubGQZgPyNkR0AAOQDBQoU0LBhwzRgwACFhoaqXbt2kqQlS5YoJSVFEydOdPjC5+7urp49e6pr164qVKiQ5s2bJ5vNptdff/2a58lZq+GLL75Q06ZN5evrq6FDh6pr164KDQ1Vp06dVLx4cS1fvlw//fSTXnvtNZUoUeJfX99rr72m9u3bq3379vaFHBctWqTz589rwIABkmSvo127durUqZOKFCmiuLg4/fLLLxo6dGiu0QPXUrp0aQUEBGjevHm6cOGCatWqpTNnzujrr7/Wfffdp1atWkmSBg0apO3btysiIkIREREqVaqUvv32WyUkJKhbt25XXRvlyv3Cw8MVHh6ucuXKacOGDVq/fr3CwsLsowMiIiI0ZcoU9enTR02aNFFmZqYWLlyowoULKzQ09JrX0LRpU7333nvav3+//XG5Li4ueuqpp7R+/XrVrVs3z9EOOUqWLKkdO3Zo0aJF/xiM3KhmzZrJ19dXM2fOVGJioho2bKhjx45p7ty5KleunLp37y7p8hSp2NhYhYeHKywsTPfee68SEhK0fft29evXT5LUtm1bffnll3rppZfUqVMnlSlTRnv27FFMTIyCg4Pt63/k5cknn1T58uW1fv16+fv7X7O/xWLRsGHD1KdPH4WFhSk0NFTJycmaO3eufTSK5PiZDAkJUbt27VSwYEEtXrxYx48f14cffmifLnIjn90rubi4KDIyUgMGDFDHjh0VFBSktLQ0zZ4922EqyCOPPKJy5cpp6tSpunjxosqWLavdu3dr6dKlKliwoEM4cbOu93pr1Kih2rVra8KECUpKSlKVKlWUlJSkr7/+Wg8//LAaNGjwr2sBkD8QdgAAkE+0bNlSM2fO1GeffabJkyfbv1iMHj3avpBjjpo1a8rf31+fffaZzp07p9q1a+u1115T1apVr3kOf39/rV69WtHR0dqxY4d8fX1Vq1YtzZ8/X5MmTdKXX36p7OxsVapUSWPGjFFwcPAtubbKlStr4cKF+uijj/TFF1/IxcVF1atX1wcffGAPBnLqmDhxombOnCmbzaaqVatq8uTJea4nci0jR45UxYoVtXz5ci1fvlyFCxdWgwYNNHDgQHvo88ADD2jRokX6+OOPtWDBAmVmZqpy5coaPXq0/Uvr1eTsN3HiRHtoU7FiRQ0ZMsT+hBFJ6tevn4oXL66oqCh98MEHcnV11ZNPPqlx48bluV5HjkqVKumBBx5QYmKinnrqKXt7nTp1tH79+ut6CsugQYM0fvx4jRw5UiNHjtT999//j/tcL4vFok8++URffPGFYmJitH79epUsWVLPPvus+vfvr/vuu0+SVKVKFX355ZeaPHmyZs6cqfT0dD300EMaNmyYwsPDJV0Op2bPnq2JEydqwYIFOnPmjMqXL6++ffuqZ8+e11VLQECApk6dqjZt2vxjfx8fH02bNk2TJk3SRx99pDJlymj06NGaO3euQ7+cz+SUKVP02WefycXFRY8++qimTJkiHx+fXP2u57P7d35+fpowYYKmTJmicePGqUyZMhoyZIhiYmKUlpYm6XK4OX36dI0ZM0azZ8+WYRh64IEH9Oabbyo7O1ujR4/Wnj178hxBcr2u53otFosmT56sTz/9VOvXr9fChQt177332v/urNcB4HpZjGutngUAAPKd5s2bq3z58nk+PQXA3cFqters2bO5no4jXZ6aU6xYsVwBDACYBWt2AAAAACZktVrVtGlTDR8+3KE9Z6HV6tWrO6kyALj9mMYCAAAAmJC7u7v8/Py0ZMkSWSwWeXt7KyUlRfPnz1eJEiXUrVs3Z5cIALcNYQcAAABgUqNGjVKlSpUUFxenpUuXqmjRomrQoIEGDBig0qVLO7s8ALhtWLMDAAAAAACYCmt2AAAAAAAAUyHsAAAAAAAApsKaHcBd7PTpDNlszEQDAAAAkL+4uFhUokSRPLcTdgB3MZvNIOwAAAAAgL9hGgsAAAAAADAVRnYAdzFPTw9nlwDgP8x6IVNp6VnOLgMAAOCOI+wA7mLHg4NlTUpydhkA/qMqJiRIhB0AACAfYhoLAAAAAAAwFcIOAAAAAABgKoQdAAAAAADAVAg7AAAAAACAqRB2AAAAAAAAUyHsAAAAAAAApkLYAQAAAAAATIWwAwAAAAAAmAphBwAA+YRhGOrbt5cmT57o7FIAAABuK8IOAADygf379yk0NEDx8bHOLgUAAOC2c3N2AQAA4PabOXO6wsO7qHz5Cs4uBQAA4LYj7AAAIB8YM2a8JGnDhnVOrgQAAOD2u65pLOnp6WrTpo0SExPtbQsXLlSbNm0UEBCgIUOG6NKlS5KkjRs3KiAgQAEBAXrttdeUkZEhSfrf//6ndu3aKSgoSF27dtWxY8eueq5169apSpUq2rNnT571REdHKzIy8rov8nZr3ry5w72RpO3bt6tWrVoKCgpS27Zt5efnp379+ik9Pd1JVd4ekyZN0qRJk3K1b9++XREREdd1jCNHjqhOnTq6ePGiQ/vSpUvVt29fzZ8/X/Pnz8+13616H1y6dEkjRoywv5/Dw8O1e/fuGz7O0aNH9eabb/7regAAAAAA/84/hh0//fSTOnXqpMOHD9vbDh06pBkzZmjBggWKi4uTzWbTvHnz9NdffykyMlITJkzQsmXLVLVqVU2YMEGSNHjwYI0aNUqxsbEKCAjQqFGjrnq+6Oho+fn5aeHChbfmCp3I29tbsbGxiomJ0TfffCNJmjZtmpOr+u958MEH5eXlpQ0bNji0x8TEqF27durUqZM6dep0284/a9Ys2Ww2LVu2TMuWLdOrr76ql19+WVlZWTd0nOPHj+vo0aO3qUoAAAAAwPX6x2ksixYt0ttvv63XX3/d3ubu7q63335bHh4ekiQvLy8dP35chw8fVrly5fTII49Iknx8fNSjRw+9/vrr6t+/v6pWrSpJqlKlir7++utc50pLS1NCQoJiYmLUtm1bvfHGG/ZzxMTEaMqUKfLw8FD58uV1zz33aO3atVq8eLGmTp0qSZozZ46OHDmiAQMG6M0331RycrJSUlLUoEEDjR49Wjt27NC0adNUqFAhHThwQFWqVNGHH34od3d3zZo1S/Pnz5erq6t8fHw0ePBgpaamavjw4Tpx4oQsFotee+01NWzYUGfOnNHgwYN14sQJVa5cOdeIhLzUrVtXmzdvliTVr19f3t7eOnnypJYsWaIZM2YoLi5Orq6uatSokQYPHixXV1fNnj1bX3/9tYoWLaqHH35YDzzwgF555ZVc+48YMUK///67UlNTVaVKFX300UdKTU1Vnz599PDDD+uPP/5QtWrVVKtWLS1dulRnz57V5MmTVblyZTVv3lz+/v7asmWL3Nzc9PLLL2vmzJk6cuSI3njjDbVu3Vr79+/XyJEjdf78eaWlpenFF1+0BxC7d+9W+/btdf78eXXo0EFdu3Z1uO4jR47onXfe0ZkzZ1SoUCENGzZM1apVc+gTEhKi+Ph4tWzZUpJ04sQJHT58WE2aNLGPHHnllVeu+j7IqeH9999XZmamSpQooREjRqhixYo6dOiQhg8frjNnzuiee+7RW2+9perVqzucOzU1VVlZWcrKypK7u7ueeuopvffee7LZbBo8eLDq1KmjDh06SJIiIiI0aNAg/fDDD1q6dKlcXFxUvXp1vfvuuxo1apQSExM1YsQIvf3225o+fbpWrlwpq9Wqxo0ba/DgwTp27Nh1/U0AAAAAADfvH0d2jB49WrVr13ZoK1++vBo1aiTpckAxd+5c+fr66qGHHtKJEyf022+/SZJWrlyp1NRUubu7KygoSJJks9n06aefqkWLFrnOFRcXp0aNGqlChQry9vZWXFycJCk5OVkffvih5s6dq4ULF9qnxjRt2lR79uzR2bNnJUnLly9XYGCgNmzYoMcee0wLFy7UqlWrtHPnTv3yyy+SpB9//FHDhw/XypUrdfz4cW3evFm7d+/WvHnztGTJEsXFxemXX37Rnj17NHr0aIWGhio6OlpTpkzR8OHDlZ6erokTJ6patWpatmyZwsPDlZqa+o83+vz581q3bp1q1qwpSTp9+rR69uyp2NhYbd26VevWrVNUVJSWLl2qI0eOaMGCBfrtt980d+5cRUdHa968eTpy5Ij9eFfuv2vXLhUoUEALFy7Ut99+q3Pnzmnjxo2SpH379tn7/fDDDzp27Jh9CtKVo2fuu+8+RUdHq3Llypo+fbpmzpypcePGafr06ZKkxYsX6+WXX1ZUVJRmz56tsWPH2vc9efKkvvrqKy1cuFBz587Vr7/+6nDtb7zxhgYPHqylS5dq5MiRGjhwYK7706pVK+3cuVPnzp2zvxeCgoLk6upq75PX++DSpUsaOnSoxo8fr6VLl6pbt24aNmyYpMsjiiIiIrRs2TINGTJE/fv3t0+5ytGlSxf99NNPatCggXr37q3Zs2erVq1aKliwoEJDQxUbe/nJBceOHVNaWpq8vb01bdo0RUVFKTo6WllZWUpOTtbQoUPl7e2tt99+W5s2bdKePXu0ZMkSxcTEKDk52f5+vt6/CQAAAADg5vyrBUqTk5PVo0cPhYaGql69epKkDz74QMOGDZPNZlOHDh1UoEABe/9Lly4pMjJS2dnZ6tWrV67j5azRIEmtW7fW119/rc6dO+vHH39UrVq1dN9990mSAgIClJCQoAIFCuiZZ57R6tWr1ahRI505c0bVq1dX9erVtXv3bs2aNUsHDx7UmTNndP78eUnSo48+qrJly0qSKleurLNnz+rQoUPy8fFR0aJFJV2e1iBJW7du1cGDBzVx4kRJUnZ2to4ePaodO3Zo/PjLC73VqVNHFStWvOr92bNnjz3kyc7OVv369dWtWzf79ho1akiSEhIS5O/vr8KFC0uSQkNDFRMTo0uXLsnHx8c+usXf319//fVXrv3r1Kmj4sWLa+7cuTp48KAOHz5sv9777rvPPoqibNmyatCggSSpXLlyDuuMNG3a1N5eunRpubm5qVy5cvbzRUZG6rvvvtO0adO0f/9++/Fz/lY5Iyx8fHy0Y8cO+yiejIwM7dmzR0OGDLH3P3/+vE6fPq0SJUrY2+655x75+Pho9erVCg0NVVxcnD799FOH+5nX++Dw4cM6evSoevfube+bnp6ujIwM/fnnn3r22WclSTVr1tS9996rgwcP2uuTpAoVKig+Pl4///yztm7dqpiYGM2aNUsxMTGqV6+ehg0bpsTERMXGxtoDmFq1aqldu3by9fVVt27dVKZMGYepXtu2bdPu3bsVEhIiScrMzFS5cuX01FNPXfffBABuh0mTpjq7BAAAgNvupsOOAwcOqEePHoqIiNALL7wgSbJarSpbtqwWL14s6fLUgpwgICMjQ71791bx4sU1ZcoUhxBEkn755Rft379fo0eP1vvvvy+r1aqUlBTt2rVLFotFhmH8f9Fu/192UFCQPvnkE509e1YBAQGSLk9nWbVqlTp06KCGDRtq//799v0LFixo3zfnuG5ubrJYLPb25ORkFS5cWDabTV999ZWKFy8uSUpJSZGnp2eueq4cfXAlb29vzZkzJ897WKhQIUmXR7v8XXZ2tlxcXK667e/7r127VhMnTlSXLl0UEhKi06dP2+tzd3d32CevWq/8e1x5f3MMGDBAxYoVk4+Pj1q3bq34+Pir9rfZbLleu7u720dHSJenqOTc0yuFhoZq8uTJqlq1qooXL66HHnrIYXte7wObzaYKFSrYz2G1WpWamurQN4dhGLJarQ5tH330kcLDw+1B2UsvvaSOHTtqy5YtatWqldq2bavly5dr5cqVmjFjhiTps88+065du7Rp0yb16NFDH374ocMxrVarunbtag+3/vrrL7m6uur06dPX/TcBAAAAANyc63oay9+lp6ere/fu6t+/vz3okC5/GX3hhReUnJwswzA0a9YstW7dWtLl6QQPPvigPv7441xf9qTLC5N26NBBGzZs0Lp167Rx40YFBQVpwYIFeuqpp7Rr1y4lJyfLZrNpxYoV9v1q1qyplJQUxcbGKjAwUJK0ZcsWhYWFKTAwUBcvXtRvv/12zdCgdu3a2rhxozIyMpSdna3XXntNe/bsUf369TVv3jxJ0h9//KGAgABduHBBDRo0sH+x3r17t/7888+buY129evX1/Lly5WZmans7GxFRUWpfv36atCggTZu3Kj09HRdunRJq1evdghlcmzbtk2tWrVSaGioihUrpu3bt+f6Qv9vbdmyRf369VOLFi20adMmSbKfY9WqVbp06ZLOnj2rDRs2qH79+vb9ihYtqoceesh+v7Zs2aLw8PCrnqN27dpKTk7WvHnzFBoammt7Xu+Dhx9+WGfPntX3338vSYqKitKgQYPk4eGhChUqaPXq1ZKkXbt2KTU1VY8++qjDcZOTkzV58mT79JaTJ08qLS1NXl5eki6vJ7JgwQLdf//9KlOmjNLS0tS6dWt5eXmpf//+atSokfbt2ydXV1dlZ2dLuvw3jY2Ntb+n+vTpo1WrVt3EnQcAAAAA3KibGtmxZMkSpaam6ssvv9SXX34p6fLjV/v37693331XPXr00KVLl9SgQQN1795de/fu1dq1a/XII48oODhYklS6dGl9/vnnki5Pb4mPj9fs2bMdzvP8888rLCxMQ4YM0dChQ/X888+rcOHC9gVQc7Rq1UqbN2+2jyLp2rWr3nnnHU2fPl0eHh6qVauWEhMT9cADD1z1eh5//HE999xz6tixo2w2m5555hk1bNhQlStX1vDhw+0jRsaOHSsPDw/169dPkZGR8vf318MPP5znNJbr5ePjo19//VWhoaHKzs5W48aN9dxzz8nNzU1dunRRWFiY7rnnHpUoUcJhZEqO9u3ba9CgQVq+fLkKFCigJ5988pZPh3jllVfUuXNnFSxYUFWrVlX58uXt5yhXrpw6duyoixcvqlevXqpcubLDOibjxo3TO++8oy+++EIFChTQhAkTrhraSJdH6nz++ecaOnRorm333XffVd8H7u7u+uSTTzR69GhdvHhRHh4e+uCDDxzOPWnSJBUoUECTJk3KFbYNGzZMH3zwgfz8/FS4cGEVKFBAgwYNsi8Uev/99+v++++3v3dLliypsLAwtWvXToULF1alSpUUGhqqixcv6ty5cxo8eLDGjRun3377TR06dJDValWTJk0UHByc5yOXAQAAAAC3jsW42lh//CccOnRIGzdu1PPPPy9J6t27t9q3b6/mzZs7t7B8xDAMpaSkKCIiQvHx8VcdleRMx4ODZU1KcnYZAP6jKiYk6OTJc84uAwAA4JZzcbHI09Mj7+13sBbcoPLly+vnn39WmzZtFBAQoIceekg+Pj7OLitfWbVqlYKCgvTqq6/+54IOAAAAAMDVMbIDuIsxsgPAtTCyAwAAmBUjOwAAAAAAQL5C2AEAAAAAAEyFsAMAAAAAAJgKYQcAAAAAADAVwg4AAAAAAGAqhB0AAAAAAMBUCDsAAAAAAICpEHYAAAAAAABTIewAAAAAAACmQtgBAAAAAABMxWIYhuHsIgAAwK1nvZCptPQsZ5cBAABwy7m4WOTp6ZHndrc7WAuAW+zUqXTZbOSVAAAAAHAlprEAAAAAAABTIewAAAAAAACmQtgBAAAAAABMhbADAAAAAACYCmEHAAAAAAAwFcIOAAAAAABgKoQdAAAAAADAVNycXQCAm+fp6eHsEgD8h1kvZCotPcvZZQAAANxxhB3AXex4cLCsSUnOLgPAf1TFhASJsAMAAORDTGMBAAAAAACmQtgBAAAAAABMhbADAAAAAACYCmEHAAAAAAAwFcIOAAAAAABgKoQdAAAAAADAVAg7AAAAAACAqRB2AACQTxiGob59e2ny5InOLgUAAOC2IuwAACAf2L9/n0JDAxQfH+vsUgAAAG47N2cXAAAAbr+ZM6crPLyLypev4OxSAAAAbjvCDgAA8oExY8ZLkjZsWOfkSgAAAG4/prHAlPbv368qVapo1apVSkxMVJ06dfTrr7/atxuGoU6dOunrr7922C8lJUXPP/+8AgMD1b59e4d9rnT27Fn17NlTgYGBateunb3fpUuXNGrUKLVt21b+/v7avHmz/XwffPCB/Pz81Lp1a/3vf/+zH2vRokUKDg5Wy5Yt9fnnn9/qWwEAAAAA+Q5hB0wpKipKfn5+WrhwoSpUqKD+/ftr6NChslqtkqR58+bJ3d1d4eHhDvtNmDBBLVu2VFxcnF555RWNGDHiqsf/8ssv5eXlpbi4OL388st69913JUlffPGFTp8+raVLl+rjjz/WkCFDZBiGVq1apQMHDmjFihWaPHmyhgwZouzsbH3//feaOXOmZs+erejoaC1evFh//PHH7b05AAAAAGByhB0wnaysLC1btkwDBgzQL7/8oj///FPh4eEqXLiw5s6dq+TkZE2fPl3vv/++LBaLw76jR49WWFiYJCkxMVHFihW76jlsNpsyMjIkSRcuXFChQoUkSStXrlTPnj1lsVj06KOP6ssvv5RhGNq4caNat24tFxcXVapUSffff79+/PFHrVy5Up07d1bRokVVpEgRzZw5U2XLlr2NdwcAAAAAzI81O2A6GzduVLly5VSpUiW1aNFCCxcu1ODBgzV69GiFh4dr8+bN6tevn8qVK5drXxeXy/mfn5+fjh07ps8+++yq53jhhRcUFhamxo0bKyMjQzNnzpQkHTlyRDt37tS7774rq9WqgQMH6pFHHlFKSopKly5t379UqVI6ceKEjhw5oqJFi6p79+5KTU1Vu3btFBERcRvuCgAAAADkH4zsgOlERUWpTZs2kqTWrVsrOjpaly5d0oMPPqiOHTvqwoULCg0NveYxvvnmGy1atEivv/66zpw5k2v7yJEj7cHJzJkzNXDgQGVkZMhqterEiROaO3euRowYoUGDBuncuXOy2WwOo0gMw5CLi4usVqt++OEHTZw4UbNnz9aiRYuUkJBwS+8HAFxp0qSp6tOnn7PLAAAAuK0Y2QFTOXXqlL777jv98ssvmj17tgzD0F9//aVvv/1W/v7+KleunMqXL2/v/9Zbb2nPnj2SpFGjRunUqVOqU6eOihQposcee0zlypXT0aNHNXjwYKWkpEiSpk+frrVr19rX6ahVq5Y8PT114MAB3XffffL395fFYlHVqlVVtmxZHTp0SGXLlrXvL0mpqakqXbq07rvvPj3++OMqUqSIJKlJkyb6+eefVb9+/Tt1ywAAAADAdBjZAVOJjY1V/fr1tWnTJq1bt07r16/XSy+9pAULFly1/+jRoxUbG6vY2Fg98cQTWrp0qRYtWiRJ+uOPP5SamqqHH35Yn3/+ub1fmTJlVLVqVa1Zs0aSdPjwYaWkpKhSpUry8fHRihUrJElHjx5VUlKSKlWqpKZNm2rZsmWyWq06cuSIDh8+rCeeeEI+Pj769ttvdenSJWVmZiohIUHe3t535mYBAAAAgEkxsgOmsnTpUg0cONChLTw8XF988YUOHDjwj/u/+eabevPNN7V06VIVLFhQ48ePt4+6uNKYMWM0fPhwff7553J3d9cHH3ygokWLatCgQXr33Xfl7+8v6fJokaJFi8rPz0+7d+9WYGCgpMshS6FChdS6dWv9+eefCg4OVnZ2toKCgtSgQYNbcCcAAAAAIP+yGIZhOLsIADfneHCwrElJzi4DwH9UxYQEnTx5ztllAAAA3HIuLhZ5enrkvf0O1gIAAAAAAHDbEXYAAAAAAABTIewAAAAAAACmQtgBAAAAAABMhbADAAAAAACYCmEHAAAAAAAwFcIOAAAAAABgKoQdAAAAAADAVAg7AAAAAACAqRB2AAAAAAAAUyHsAAAAAAAApkLYAQAAAAAATIWwAwAAAAAAmIrFMAzD2UUAAIBbz3ohU2npWc4uAwAA4JZzcbHI09Mjz+1ud7AWALfYqVPpstnIKwEAAADgSkxjAQAAAAAApkLYAQAAAAAATIWwAwAAAAAAmAphBwAAAAAAMBXCDgAAAAAAYCqEHQAAAAAAwFR49CxwF7vWc6UBwHohU2npWc4uAwAA4I4j7ADuYseDg2VNSnJ2GQD+oyomJEiEHQAAIB9iGgsAAAAAADAVwg4AAAAAAGAqhB0AAAAAAMBUCDsAAAAAAICpEHYAAAAAAABTIewAAAAAAACmQtgBAAAAAABMhbADAAAAAACYCmEHAAD5hGEY6tu3lyZPnujsUgAAAG4rwg4AAPKB/fv3KTQ0QPHxsc4uBQAA4LZzc3YBAADg9ps5c7rCw7uofPkKzi4FAADgtiPsAAAgHxgzZrwkacOGdU6uBAAA4PZjGgvuiO3bt6tWrVoKCgpSYGCgWrVqpa+++uof94uIiND27du1fft2RURE3NA5Q0JC9NJLL11X3xs99r/VvHlzJSYm3tFzAgAAAEB+wcgO3DHe3t6aM2eOJCk9PV3+/v5q1KiRHnnkkVt+rt9++03u7u767bfflJSUpPvvv/+a/Xfs2HHLawAAAAAAOAcjO+AUFy9elKurq4oWLSpJWrlypTp06KDAwED5+fnphx9+uOp+R44c0dNPPy2bzSbp8oiRHj165OoXHR2tRo0aydfXV4sWLbK3b9u2TSEhIQoJCVG3bt2UlpamUaNGSZLat28vSapfv7569OihoKAgZWVlaerUqWrdurUCAgI0ZswYWa1WSdKsWbPUsmVLtW7dWuPGjZMk7d+/XxEREQoNDZWPj4/mz58vSTpz5ox69uypgIAADRgwQBcvXpQkWa1Wvf/++woODlZgYKBmzZr1b28tAAAAAOR7hB24Y/bs2aOgoCAFBASoefPmqlu3rkqXLi2bzaYFCxZo6tSpiouLU48ePTR9+vSrHuPBBx9UhQoVtH37dklSTEyMQkJCHPpkZWVp2bJlatWqlVq1aqUlS5YoOztbkvTZZ5/pnXfeUXR0tBo2bKi9e/dq6NChkqTFixdLkk6fPq2ePXsqNjZWW7du1bp16xQVFaWlS5fqyJEjWrBggXbv3q158+ZpyZIliouL0y+//KI9e/Zo8eLFevnllxUVFaXZs2dr7NixkqSJEyeqWrVqWrZsmcLDw5WamipJ9iBm6dKlWrJkidauXavvv//+Ft95AAAAAMhfmMaCO+bv01hyQo1evXpp8uTJWrdunQ4dOqQdO3bIxSXvHC40NFRxcXGqWbOmEhIS9M477zhs37Bhg0qVKqVHHnlEhmHIxcVF69ev1zPPPCNfX1/17dtXLVq0kK+vrxo1anTVc9SoUUOSlJCQIH9/fxUuXNh+7piYGGVmZsrHx8c+MiVnRMZjjz2m7777TtOmTdP+/ft1/vx5SZenyYwff3lxwDp16qhixYqSLo80+fXXX5WQkCBJOn/+vPbt26fatWvf6O0FgOsyadJUZ5cAAABw2xF2wCk8PDzUqlUrbd26VRkZGWrXrp0CAwNVp04dValSRXPnzs1zXz8/P02YMEGrVq1S06ZNVbBgQYftUVFRSkpKUvPmzSVdDlYWLFigZ555Rs8//7x8fHy0fv16jRs3Trt371bv3r1znaNQoUKSZJ8uc6Xs7Gy5ubnJYrHY25KTk1W4cGG99dZbKlasmHx8fNS6dWvFx8dLkiwWiwzDsPd3dXWVdHkay+DBg/Xss89KktLS0lSkSJHruocAAAAAgKtjGgucwmq1aseOHapWrZoOHz4si8Wil156SfXq1dO3335rXxfjagoXLqymTZvqo48+yjWFJTU1VVu3blV8fLzWrVundevWKSYmRgkJCTp69Kjat2+vjIwMPf/883r++ee1d+9eSZfDh5ypLleqX7++li9frszMTGVnZysqKkr169dX7dq1tXHjRmVkZCg7O1uvvfaa9uzZoy1btqhfv35q0aKFNm3aZL/WBg0aKDY2VpK0e/du/fnnn/bjL1q0SFlZWcrIyFDnzp21a9euW3GLAQAAACDfYmQH7picNTssFouys7NVpUoV9ezZUwULFtRjjz2mVq1ayWKxqHHjxvrf//53zWP5+/vrhx9+sE83yREbG6tmzZqpTJky9raKFSuqefPmWrhwoV599VVFRkbKzc1N99xzj31xUl9fXwUFBSk6OtrheD4+Pvr1118VGhqq7OxsNW7cWM8995zc3Nz03HPPqWPHjrLZbHrmmWfUsGFDvfLKK+rcubMKFiyoqlWrqnz58kpMTFS/fv0UGRkpf39/Pfzww/ZpLB07dtSRI0cUHBys7OxshYSEqF69erfidgMAAABAvmUxrhxbD9wFrFarJkyYIE9PT3Xr1s3Z5TjV8eBgWZOSnF0GgP+oigkJOnnynLPLAAAAuOVcXCzy9PTIczsjO3DXCQ0NVYkSJTRlyhRnlwIAAAAA+A8i7MBdJyYmxtklAAAAAAD+w1igFAAAAAAAmAphBwAAAAAAMBXCDgAAAAAAYCqEHQAAAAAAwFQIOwAAAAAAgKkQdgAAAAAAAFMh7AAAAAAAAKZC2AEAAAAAAEyFsAMAAAAAAJgKYQcAAAAAADAVi2EYhrOLAAAAt571QqbS0rOcXQYAAMAt5+JikaenR57b3e5gLQBusVOn0mWzkVcCAAAAwJWYxgIAAAAAAEyFsAMAAAAAAJgKYQcAAAAAADAVwg4AAAAAAGAqhB0AAAAAAMBUCDsAAAAAAICpEHYAAAAAAABTcXN2AQBunqenh7NLAPAfZr2QqbT0LGeXAQAAcMcRdgB3sePBwbImJTm7DAD/URUTEiTCDgAAkA8xjQUAAAAAAJgKYQcAAAAAADAVwg4AAAAAAGAqhB0AAAAAAMBUCDsAAAAAAICpEHYAAAAAAABTIewAAAAAAACmQtgBAEA+YRiG+vbtpcmTJzq7FAAAgNuKsAMAgHxg//59Cg0NUHx8rLNLAQAAuO3cnF0AAAC4/WbOnK7w8C4qX76Cs0sBAAC47Qg7AADIB8aMGS9J2rBhnZMrAQAAuP0IO3BViYmJ8vPzU+XKlR3ap06dqvvvv/+q+8yfP1+S1KlTp+s6R0REhPr27at69eo5tH/yySfy9vZWlSpV1KVLF61bl/v/Ma9SpYr27duXq/3gwYMaO3asjh07Jkny8vLSW2+9pZIlS2rSpEmSpFdeeeW66ruVmjdvrtmzZ6tChf//RXX79u166aWX9MADDzj0jY6Olqur650uEQAAAABMg7ADeSpdurRiY69/bvf1hhz/pH///pIuBy43Ijk5WV26dNG7776r5s2byzAMTZs2TX379tW8efNuSW23mre3t+bMmePsMgAAAADAVAg7cMP279+vkSN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      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Barplot\n",
    "barplot = sns.barplot(\n",
    "    data=consoles_less_games, \n",
    "    x='n_games',\n",
    "    y='platform',\n",
    "    color=color_games,\n",
    "    orient = 'h'\n",
    ")\n",
    "barplot.set_title(\"Top ten consoles with less video games\", fontsize = 18)\n",
    "barplot.set_xlabel(\"\")\n",
    "barplot.set_ylabel(\"\")\n",
    "barplot.axes.xaxis.set_ticklabels([])\n",
    "\n",
    "# Adding actual value to each bar\n",
    "for i in range(len(consoles_less_games)):\n",
    "    value = consoles_less_games.iloc[i,1]\n",
    "    barplot.text(value+.02, i, int(value), color='black', ha=\"center\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "533be5a0-7b2d-4dfe-8311-4d07c158e382",
   "metadata": {},
   "source": [
    "Again, the top ten consoles with less video games were not popular at all."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "38aa7c9a-feca-4f76-8af8-b26ee38146a8",
   "metadata": {},
   "source": [
    "##### Genre count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "05f8136a-b9b0-45c1-9dad-cbd71e1c6af8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Building a \"higher\" plot\n",
    "sns.set(rc = {'figure.figsize':(15,10)})\n",
    "sns.set_style(\"dark\")\n",
    "\n",
    "# Getting genres for each unique game\n",
    "genre_df = games_df.groupby(\n",
    "    ['name', \n",
    "     'genre']\n",
    ").size().groupby(\n",
    "    'genre'\n",
    ").size().to_frame().reset_index().sort_values(0,ascending=False)\n",
    "\n",
    "# Barplot\n",
    "barplot = sns.barplot(\n",
    "    data=genre_df, \n",
    "    x=0,\n",
    "    y='genre',\n",
    "    color=color_games,\n",
    "    orient = 'h'\n",
    ")\n",
    "barplot.set_title(\"Video games genre count\", fontsize = 18)\n",
    "barplot.set_xlabel(\"\")\n",
    "barplot.set_ylabel(\"\")\n",
    "barplot.axes.xaxis.set_ticklabels([])\n",
    "\n",
    "# Adding actual value to each bar\n",
    "for i in range(len(genre_df)):\n",
    "    value = genre_df.iloc[i,1]\n",
    "    barplot.text(value+300, i, int(value), color='black', ha=\"center\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "430edb84-5a87-412b-82f9-5b56cdf24e92",
   "metadata": {},
   "source": [
    "We can see the majority of games are Indies, which have had an explosion since a couple of years because now is relatively more easy to video games start-up studios to obtain funds thanks to platforms such as Patreon. In second place is Adventure genre, for many people, and I include myself, there is nothing better than a video game that combines a good narrative and the opportunity to explore it beyond simply pressing buttons.\n",
    "\n",
    "Now, we will focus on video games release dates to check if there is a trend."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "c955239b-011f-4bdf-bd2c-fca0fd50982e",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Getting all unique games\n",
    "unique_games = games_df.groupby('name').first().reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "53157995-08c1-495f-a037-1f22f80cb084",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Getting release years and moths to the unique games\n",
    "unique_games['release_year'] = unique_games.release_date.dt.year\n",
    "unique_games['release_month'] = unique_games.release_date.dt.month"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "70ce2c93-60b9-40f5-a972-af2dd222d2e8",
   "metadata": {},
   "source": [
    "##### Release years"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "a44bf227-f317-45f5-baed-62b619d34241",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2160x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "column = 'release_year'\n",
    "title = 'Video games release year'\n",
    "xlabel = 'Year'\n",
    "ylabel = ''\n",
    "plot_size = (30,8)\n",
    "rotate_xticks = True\n",
    "value_offset = 60\n",
    "ordr = [i for i in range(int(unique_games.release_year.min()), \n",
    "                         int(unique_games.release_year.max()))\n",
    "       ]\n",
    "plotCount(unique_games, plot_size, column, title, xlabel, ylabel, color_games, \n",
    "          ordr, value_offset, rotate_xticks)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0165a27e-8ea9-49c3-a3a8-49158c8da2b8",
   "metadata": {},
   "source": [
    "It is very clear that the number of video games has grown a lot year after year until it highest point in 2017. From there, the number of video games released has been decreasing but, compared to the years before 2015, it still high."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f012e9f1-2d06-479c-a475-8322731c4c5f",
   "metadata": {},
   "source": [
    "##### Release months"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "a67d3717-5475-48bf-9bc2-cfcbcbaed1af",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "column = 'release_month'\n",
    "title = 'Video games release month'\n",
    "xlabel = 'Month'\n",
    "ylabel = ''\n",
    "plot_size = (15,8)\n",
    "ordr = [i for i in range(1, 13)]\n",
    "plotCount(unique_games, plot_size, column, title, xlabel, ylabel, color_games, \n",
    "          ordr, value_offset)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b0fc224f-7ff5-40ab-a966-6ce78e4f283d",
   "metadata": {},
   "source": [
    "The number of video games by month is fairly uniform but we can see again some trends. It seems that from april to july the number of releases is \"low\" and we can see this number grows in the last three months. Then, there is a drastic decrease on january but the releases tend to raise until march."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ef182b00-93a8-4f3f-8e05-b77b1c3f7373",
   "metadata": {},
   "source": [
    "##### Number of games by category"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "3ec87e2a-8056-4f00-bff0-ba5bc6c7cf1b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "column = 'category'\n",
    "title = 'Number of video games by category'\n",
    "xlabel = ''\n",
    "ylabel = ''\n",
    "plot_size = (15,8)\n",
    "ordr = unique_games[column].value_counts().index\n",
    "rotate_labels = True\n",
    "plotCount(unique_games, plot_size, column, title, xlabel, ylabel, color_games, \n",
    "          ordr, value_offset, rotate_labels)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f6e8c30f-7795-4988-9d43-ca0bc72f8deb",
   "metadata": {},
   "source": [
    "We can see the data is practically composed of main games"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1fad8c7f-a2f9-49f5-80bd-4158215dc856",
   "metadata": {},
   "source": [
    "##### Game modes count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "3830a272-5f82-4c39-a484-1db1162d4d54",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "games_by_game_mode = games_df.groupby(\n",
    "    ['name', \n",
    "     'game_modes'\n",
    "    ]).size().groupby(\n",
    "    'game_modes'\n",
    "    ).size().to_frame().reset_index().sort_values(by=0,ascending=False)\n",
    "\n",
    "barplot = sns.barplot(\n",
    "    data=games_by_game_mode, \n",
    "    x=0,\n",
    "    y='game_modes',\n",
    "    color=color_games,\n",
    "    orient = 'h',\n",
    ")\n",
    "\n",
    "barplot.set_title(\"Video games by game mode\", fontsize = 18)\n",
    "barplot.set_xlabel(\"\")\n",
    "barplot.set_ylabel(\"\")\n",
    "barplot.axes.xaxis.set_ticklabels([])\n",
    "\n",
    "# Se añade el valor de cada barra\n",
    "for i in range(len(games_by_game_mode)):\n",
    "    value = games_by_game_mode.iloc[i,1]\n",
    "    barplot.text(value+600, i, int(value), color='black', ha=\"center\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fabcfce9-16e9-4dae-8d55-880ed52dc54e",
   "metadata": {},
   "source": [
    "By far, single player games is the most populated mode. That means the majority of games has this game mode and others."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "38d27916-0ac2-42f3-8618-75ee31e4a9c7",
   "metadata": {},
   "source": [
    "##### Video games ratings distribution"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "16d21b78-2664-4a06-9b4e-f0dc849ab1fa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "boxplot = sns.boxplot(\n",
    "    x=unique_games.total_rating, \n",
    "    color=color_games)\n",
    "\n",
    "boxplot.set_title('Video games ratings distribution', fontsize = 18)\n",
    "_ = boxplot.set_xlabel('', fontsize = 15)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a50200fd-0c1d-4a99-948d-94397a684989",
   "metadata": {},
   "source": [
    "We can see there are many outliers, games as bad as they deserve ratings lower than 30!"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cc24cef2-8120-4969-993b-0905788cd37f",
   "metadata": {},
   "source": [
    "### Conclusions"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e47295bc-07a2-46c0-ab46-224e796eee29",
   "metadata": {},
   "source": [
    "We have a lot of data! but most important, we have many interesting variables. With this datasets we can perform fairly deep analyis, not only about games reception, but also to study video games industry trends and its behavior. We can join this data to other resources to analyze video games sales; for example, which genre is the most profitable, target audiences, and so on. This information would be invaluable to investors and to video games studios themselves. "
   ]
  }
 ],
 "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": "3.8.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}