959 lines
102 KiB
Plaintext
959 lines
102 KiB
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"id": "hNYAM1jr8P8v",
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"outputId": "318f51a0-e7a8-4d69-86f3-3412ca800459"
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"/bin/sh: 1: wget: not found\r\n"
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]
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}
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],
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"source": [
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"!wget -c https://git.wmi.amu.edu.pl/s434695/ium_434695/raw/commit/2301fb86e434734376f73503307a8f3255a75cc6/vgsales.csv\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 13,
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"id": "l6wJKCw7iqQ8",
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"outputId": "91fcfedc-4cdf-4208-9a9e-a02b56b6db83"
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Requirement already satisfied: pandas in /home/tomasz/snap/jupyter/common/lib/python3.7/site-packages (1.2.3)\n",
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"Requirement already satisfied: pytz>=2017.3 in /home/tomasz/snap/jupyter/common/lib/python3.7/site-packages (from pandas) (2021.1)\n",
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"Requirement already satisfied: python-dateutil>=2.7.3 in /snap/jupyter/6/lib/python3.7/site-packages (from pandas) (2.8.0)\n",
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"Requirement already satisfied: numpy>=1.16.5 in /home/tomasz/snap/jupyter/common/lib/python3.7/site-packages (from pandas) (1.20.1)\n",
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"Requirement already satisfied: six>=1.5 in /snap/jupyter/6/lib/python3.7/site-packages (from python-dateutil>=2.7.3->pandas) (1.12.0)\n",
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"Requirement already satisfied: scikit-learn in /home/tomasz/snap/jupyter/common/lib/python3.7/site-packages (0.24.1)\n",
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"Requirement already satisfied: joblib>=0.11 in /home/tomasz/snap/jupyter/common/lib/python3.7/site-packages (from scikit-learn) (1.0.1)\n",
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"Requirement already satisfied: threadpoolctl>=2.0.0 in /home/tomasz/snap/jupyter/common/lib/python3.7/site-packages (from scikit-learn) (2.1.0)\n",
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"Requirement already satisfied: numpy>=1.13.3 in /home/tomasz/snap/jupyter/common/lib/python3.7/site-packages (from scikit-learn) (1.20.1)\n",
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"Requirement already satisfied: scipy>=0.19.1 in /home/tomasz/snap/jupyter/common/lib/python3.7/site-packages (from scikit-learn) (1.6.1)\n",
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"Requirement already satisfied: matplotlib in /home/tomasz/snap/jupyter/common/lib/python3.7/site-packages (3.3.4)\n",
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"Requirement already satisfied: kiwisolver>=1.0.1 in /home/tomasz/snap/jupyter/common/lib/python3.7/site-packages (from matplotlib) (1.3.1)\n",
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"Requirement already satisfied: pillow>=6.2.0 in /home/tomasz/snap/jupyter/common/lib/python3.7/site-packages (from matplotlib) (8.1.2)\n",
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"Requirement already satisfied: python-dateutil>=2.1 in /snap/jupyter/6/lib/python3.7/site-packages (from matplotlib) (2.8.0)\n",
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"Requirement already satisfied: numpy>=1.15 in /home/tomasz/snap/jupyter/common/lib/python3.7/site-packages (from matplotlib) (1.20.1)\n",
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"Requirement already satisfied: cycler>=0.10 in /home/tomasz/snap/jupyter/common/lib/python3.7/site-packages (from matplotlib) (0.10.0)\n",
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"Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.3 in /home/tomasz/snap/jupyter/common/lib/python3.7/site-packages (from matplotlib) (2.4.7)\n",
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"Requirement already satisfied: six>=1.5 in /snap/jupyter/6/lib/python3.7/site-packages (from python-dateutil>=2.1->matplotlib) (1.12.0)\n",
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"Collecting seaborn\n",
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"\u001b[?25l Downloading https://files.pythonhosted.org/packages/68/ad/6c2406ae175f59ec616714e408979b674fe27b9587f79d59a528ddfbcd5b/seaborn-0.11.1-py3-none-any.whl (285kB)\n",
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"\u001b[K |████████████████████████████████| 286kB 1.1MB/s eta 0:00:01\n",
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"\u001b[?25hRequirement already satisfied: scipy>=1.0 in /home/tomasz/snap/jupyter/common/lib/python3.7/site-packages (from seaborn) (1.6.1)\n",
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"Requirement already satisfied: matplotlib>=2.2 in /home/tomasz/snap/jupyter/common/lib/python3.7/site-packages (from seaborn) (3.3.4)\n",
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"Requirement already satisfied: numpy>=1.15 in /home/tomasz/snap/jupyter/common/lib/python3.7/site-packages (from seaborn) (1.20.1)\n",
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"Requirement already satisfied: pandas>=0.23 in /home/tomasz/snap/jupyter/common/lib/python3.7/site-packages (from seaborn) (1.2.3)\n",
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"Requirement already satisfied: python-dateutil>=2.1 in /snap/jupyter/6/lib/python3.7/site-packages (from matplotlib>=2.2->seaborn) (2.8.0)\n",
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"Requirement already satisfied: pillow>=6.2.0 in /home/tomasz/snap/jupyter/common/lib/python3.7/site-packages (from matplotlib>=2.2->seaborn) (8.1.2)\n",
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"Requirement already satisfied: kiwisolver>=1.0.1 in /home/tomasz/snap/jupyter/common/lib/python3.7/site-packages (from matplotlib>=2.2->seaborn) (1.3.1)\n",
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"Requirement already satisfied: cycler>=0.10 in /home/tomasz/snap/jupyter/common/lib/python3.7/site-packages (from matplotlib>=2.2->seaborn) (0.10.0)\n",
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"Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.3 in /home/tomasz/snap/jupyter/common/lib/python3.7/site-packages (from matplotlib>=2.2->seaborn) (2.4.7)\n",
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"Requirement already satisfied: pytz>=2017.3 in /home/tomasz/snap/jupyter/common/lib/python3.7/site-packages (from pandas>=0.23->seaborn) (2021.1)\n",
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"Requirement already satisfied: six>=1.5 in /snap/jupyter/6/lib/python3.7/site-packages (from python-dateutil>=2.1->matplotlib>=2.2->seaborn) (1.12.0)\n",
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"Installing collected packages: seaborn\n",
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"Successfully installed seaborn-0.11.1\n"
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]
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}
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],
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"source": [
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"!pip install --user pandas\n",
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"!pip install --user scikit-learn\n",
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"!pip install --user matplotlib\n",
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"!pip install --user seaborn"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/",
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"height": 493
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},
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"id": "uXRk5Z4tixiJ",
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"outputId": "ed788406-9f0f-418c-93ef-54398dc4613d"
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},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<div>\n",
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"<style scoped>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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" }\n",
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"\n",
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: right;\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>Rank</th>\n",
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" <th>Name</th>\n",
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" <th>Platform</th>\n",
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" <th>Year</th>\n",
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" <th>Genre</th>\n",
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" <th>Publisher</th>\n",
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" <th>NA_Sales</th>\n",
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" <th>EU_Sales</th>\n",
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" <th>JP_Sales</th>\n",
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" <th>Other_Sales</th>\n",
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" <th>Global_Sales</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>0</th>\n",
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" <td>1</td>\n",
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" <td>Wii Sports</td>\n",
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" <td>Wii</td>\n",
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" <td>2006.0</td>\n",
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" <td>Sports</td>\n",
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" <td>Nintendo</td>\n",
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" <td>41.49</td>\n",
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" <td>29.02</td>\n",
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" <td>3.77</td>\n",
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" <td>8.46</td>\n",
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" <td>82.74</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1</th>\n",
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" <td>2</td>\n",
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" <td>Super Mario Bros.</td>\n",
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" <td>NES</td>\n",
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" <td>1985.0</td>\n",
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" <td>Platform</td>\n",
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" <td>Nintendo</td>\n",
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" <td>29.08</td>\n",
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" <td>3.58</td>\n",
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" <td>6.81</td>\n",
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" <td>0.77</td>\n",
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" <td>40.24</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2</th>\n",
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" <td>3</td>\n",
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" <td>Mario Kart Wii</td>\n",
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" <td>Wii</td>\n",
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" <td>2008.0</td>\n",
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" <td>Racing</td>\n",
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" <td>Nintendo</td>\n",
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" <td>15.85</td>\n",
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" <td>12.88</td>\n",
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" <td>3.79</td>\n",
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" <td>3.31</td>\n",
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" <td>35.82</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>3</th>\n",
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" <td>4</td>\n",
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" <td>Wii Sports Resort</td>\n",
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" <td>Wii</td>\n",
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" <td>2009.0</td>\n",
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" <td>Sports</td>\n",
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" <td>Nintendo</td>\n",
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" <td>15.75</td>\n",
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" <td>11.01</td>\n",
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" <td>3.28</td>\n",
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" <td>2.96</td>\n",
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" <td>33.00</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>4</th>\n",
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" <td>5</td>\n",
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" <td>Pokemon Red/Pokemon Blue</td>\n",
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" <td>GB</td>\n",
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" <td>1996.0</td>\n",
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" <td>Role-Playing</td>\n",
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" <td>Nintendo</td>\n",
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" <td>11.27</td>\n",
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" <td>8.89</td>\n",
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" <td>10.22</td>\n",
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" <td>1.00</td>\n",
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" <td>31.37</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>...</th>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>16593</th>\n",
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" <td>16596</td>\n",
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" <td>Woody Woodpecker in Crazy Castle 5</td>\n",
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" <td>GBA</td>\n",
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" <td>2002.0</td>\n",
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" <td>Platform</td>\n",
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" <td>Kemco</td>\n",
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" <td>0.01</td>\n",
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" <td>0.00</td>\n",
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" <td>0.00</td>\n",
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" <td>0.00</td>\n",
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" <td>0.01</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>16594</th>\n",
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" <td>16597</td>\n",
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" <td>Men in Black II: Alien Escape</td>\n",
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" <td>GC</td>\n",
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" <td>2003.0</td>\n",
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" <td>Shooter</td>\n",
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" <td>Infogrames</td>\n",
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" <td>0.01</td>\n",
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" <td>0.00</td>\n",
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" <td>0.00</td>\n",
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" <td>0.00</td>\n",
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" <td>0.01</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>16595</th>\n",
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" <td>16598</td>\n",
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" <td>SCORE International Baja 1000: The Official Game</td>\n",
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" <td>PS2</td>\n",
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" <td>2008.0</td>\n",
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" <td>Racing</td>\n",
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" <td>Activision</td>\n",
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" <td>0.00</td>\n",
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" <td>0.00</td>\n",
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" <td>0.00</td>\n",
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" <td>0.00</td>\n",
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" <td>0.01</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>16596</th>\n",
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" <td>16599</td>\n",
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" <td>Know How 2</td>\n",
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" <td>DS</td>\n",
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" <td>2010.0</td>\n",
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" <td>Puzzle</td>\n",
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" <td>7G//AMES</td>\n",
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" <td>0.00</td>\n",
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" <td>0.01</td>\n",
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" <td>0.00</td>\n",
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" <td>0.00</td>\n",
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" <td>0.01</td>\n",
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" </tr>\n",
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|
|
" <tr>\n",
|
|||
|
|
" <th>16597</th>\n",
|
|||
|
|
" <td>16600</td>\n",
|
|||
|
|
" <td>Spirits & Spells</td>\n",
|
|||
|
|
" <td>GBA</td>\n",
|
|||
|
|
" <td>2003.0</td>\n",
|
|||
|
|
" <td>Platform</td>\n",
|
|||
|
|
" <td>Wanadoo</td>\n",
|
|||
|
|
" <td>0.01</td>\n",
|
|||
|
|
" <td>0.00</td>\n",
|
|||
|
|
" <td>0.00</td>\n",
|
|||
|
|
" <td>0.00</td>\n",
|
|||
|
|
" <td>0.01</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" </tbody>\n",
|
|||
|
|
"</table>\n",
|
|||
|
|
"<p>16598 rows × 11 columns</p>\n",
|
|||
|
|
"</div>"
|
|||
|
|
],
|
|||
|
|
"text/plain": [
|
|||
|
|
" Rank Name Platform \\\n",
|
|||
|
|
"0 1 Wii Sports Wii \n",
|
|||
|
|
"1 2 Super Mario Bros. NES \n",
|
|||
|
|
"2 3 Mario Kart Wii Wii \n",
|
|||
|
|
"3 4 Wii Sports Resort Wii \n",
|
|||
|
|
"4 5 Pokemon Red/Pokemon Blue GB \n",
|
|||
|
|
"... ... ... ... \n",
|
|||
|
|
"16593 16596 Woody Woodpecker in Crazy Castle 5 GBA \n",
|
|||
|
|
"16594 16597 Men in Black II: Alien Escape GC \n",
|
|||
|
|
"16595 16598 SCORE International Baja 1000: The Official Game PS2 \n",
|
|||
|
|
"16596 16599 Know How 2 DS \n",
|
|||
|
|
"16597 16600 Spirits & Spells GBA \n",
|
|||
|
|
"\n",
|
|||
|
|
" Year Genre Publisher NA_Sales EU_Sales JP_Sales \\\n",
|
|||
|
|
"0 2006.0 Sports Nintendo 41.49 29.02 3.77 \n",
|
|||
|
|
"1 1985.0 Platform Nintendo 29.08 3.58 6.81 \n",
|
|||
|
|
"2 2008.0 Racing Nintendo 15.85 12.88 3.79 \n",
|
|||
|
|
"3 2009.0 Sports Nintendo 15.75 11.01 3.28 \n",
|
|||
|
|
"4 1996.0 Role-Playing Nintendo 11.27 8.89 10.22 \n",
|
|||
|
|
"... ... ... ... ... ... ... \n",
|
|||
|
|
"16593 2002.0 Platform Kemco 0.01 0.00 0.00 \n",
|
|||
|
|
"16594 2003.0 Shooter Infogrames 0.01 0.00 0.00 \n",
|
|||
|
|
"16595 2008.0 Racing Activision 0.00 0.00 0.00 \n",
|
|||
|
|
"16596 2010.0 Puzzle 7G//AMES 0.00 0.01 0.00 \n",
|
|||
|
|
"16597 2003.0 Platform Wanadoo 0.01 0.00 0.00 \n",
|
|||
|
|
"\n",
|
|||
|
|
" Other_Sales Global_Sales \n",
|
|||
|
|
"0 8.46 82.74 \n",
|
|||
|
|
"1 0.77 40.24 \n",
|
|||
|
|
"2 3.31 35.82 \n",
|
|||
|
|
"3 2.96 33.00 \n",
|
|||
|
|
"4 1.00 31.37 \n",
|
|||
|
|
"... ... ... \n",
|
|||
|
|
"16593 0.00 0.01 \n",
|
|||
|
|
"16594 0.00 0.01 \n",
|
|||
|
|
"16595 0.00 0.01 \n",
|
|||
|
|
"16596 0.00 0.01 \n",
|
|||
|
|
"16597 0.00 0.01 \n",
|
|||
|
|
"\n",
|
|||
|
|
"[16598 rows x 11 columns]"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"execution_count": 3,
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "execute_result"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"import pandas as pd\n",
|
|||
|
|
"vgsales = pd.read_csv('vgsales.csv')\n",
|
|||
|
|
"vgsales"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 4,
|
|||
|
|
"metadata": {
|
|||
|
|
"colab": {
|
|||
|
|
"base_uri": "https://localhost:8080/",
|
|||
|
|
"height": 484
|
|||
|
|
},
|
|||
|
|
"id": "Ymp2F4Cdj9XP",
|
|||
|
|
"outputId": "9096c32c-1392-4817-fdd8-035dc4a0176a"
|
|||
|
|
},
|
|||
|
|
"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>Rank</th>\n",
|
|||
|
|
" <th>Name</th>\n",
|
|||
|
|
" <th>Platform</th>\n",
|
|||
|
|
" <th>Year</th>\n",
|
|||
|
|
" <th>Genre</th>\n",
|
|||
|
|
" <th>Publisher</th>\n",
|
|||
|
|
" <th>NA_Sales</th>\n",
|
|||
|
|
" <th>EU_Sales</th>\n",
|
|||
|
|
" <th>JP_Sales</th>\n",
|
|||
|
|
" <th>Other_Sales</th>\n",
|
|||
|
|
" <th>Global_Sales</th>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" </thead>\n",
|
|||
|
|
" <tbody>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>count</th>\n",
|
|||
|
|
" <td>16598.000000</td>\n",
|
|||
|
|
" <td>16598</td>\n",
|
|||
|
|
" <td>16598</td>\n",
|
|||
|
|
" <td>16327.000000</td>\n",
|
|||
|
|
" <td>16598</td>\n",
|
|||
|
|
" <td>16540</td>\n",
|
|||
|
|
" <td>16598.000000</td>\n",
|
|||
|
|
" <td>16598.000000</td>\n",
|
|||
|
|
" <td>16598.000000</td>\n",
|
|||
|
|
" <td>16598.000000</td>\n",
|
|||
|
|
" <td>16598.000000</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>unique</th>\n",
|
|||
|
|
" <td>NaN</td>\n",
|
|||
|
|
" <td>11493</td>\n",
|
|||
|
|
" <td>31</td>\n",
|
|||
|
|
" <td>NaN</td>\n",
|
|||
|
|
" <td>12</td>\n",
|
|||
|
|
" <td>578</td>\n",
|
|||
|
|
" <td>NaN</td>\n",
|
|||
|
|
" <td>NaN</td>\n",
|
|||
|
|
" <td>NaN</td>\n",
|
|||
|
|
" <td>NaN</td>\n",
|
|||
|
|
" <td>NaN</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>top</th>\n",
|
|||
|
|
" <td>NaN</td>\n",
|
|||
|
|
" <td>Need for Speed: Most Wanted</td>\n",
|
|||
|
|
" <td>DS</td>\n",
|
|||
|
|
" <td>NaN</td>\n",
|
|||
|
|
" <td>Action</td>\n",
|
|||
|
|
" <td>Electronic Arts</td>\n",
|
|||
|
|
" <td>NaN</td>\n",
|
|||
|
|
" <td>NaN</td>\n",
|
|||
|
|
" <td>NaN</td>\n",
|
|||
|
|
" <td>NaN</td>\n",
|
|||
|
|
" <td>NaN</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>freq</th>\n",
|
|||
|
|
" <td>NaN</td>\n",
|
|||
|
|
" <td>12</td>\n",
|
|||
|
|
" <td>2163</td>\n",
|
|||
|
|
" <td>NaN</td>\n",
|
|||
|
|
" <td>3316</td>\n",
|
|||
|
|
" <td>1351</td>\n",
|
|||
|
|
" <td>NaN</td>\n",
|
|||
|
|
" <td>NaN</td>\n",
|
|||
|
|
" <td>NaN</td>\n",
|
|||
|
|
" <td>NaN</td>\n",
|
|||
|
|
" <td>NaN</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>mean</th>\n",
|
|||
|
|
" <td>8300.605254</td>\n",
|
|||
|
|
" <td>NaN</td>\n",
|
|||
|
|
" <td>NaN</td>\n",
|
|||
|
|
" <td>2006.406443</td>\n",
|
|||
|
|
" <td>NaN</td>\n",
|
|||
|
|
" <td>NaN</td>\n",
|
|||
|
|
" <td>0.264667</td>\n",
|
|||
|
|
" <td>0.146652</td>\n",
|
|||
|
|
" <td>0.077782</td>\n",
|
|||
|
|
" <td>0.048063</td>\n",
|
|||
|
|
" <td>0.537441</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>std</th>\n",
|
|||
|
|
" <td>4791.853933</td>\n",
|
|||
|
|
" <td>NaN</td>\n",
|
|||
|
|
" <td>NaN</td>\n",
|
|||
|
|
" <td>5.828981</td>\n",
|
|||
|
|
" <td>NaN</td>\n",
|
|||
|
|
" <td>NaN</td>\n",
|
|||
|
|
" <td>0.816683</td>\n",
|
|||
|
|
" <td>0.505351</td>\n",
|
|||
|
|
" <td>0.309291</td>\n",
|
|||
|
|
" <td>0.188588</td>\n",
|
|||
|
|
" <td>1.555028</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>min</th>\n",
|
|||
|
|
" <td>1.000000</td>\n",
|
|||
|
|
" <td>NaN</td>\n",
|
|||
|
|
" <td>NaN</td>\n",
|
|||
|
|
" <td>1980.000000</td>\n",
|
|||
|
|
" <td>NaN</td>\n",
|
|||
|
|
" <td>NaN</td>\n",
|
|||
|
|
" <td>0.000000</td>\n",
|
|||
|
|
" <td>0.000000</td>\n",
|
|||
|
|
" <td>0.000000</td>\n",
|
|||
|
|
" <td>0.000000</td>\n",
|
|||
|
|
" <td>0.010000</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>25%</th>\n",
|
|||
|
|
" <td>4151.250000</td>\n",
|
|||
|
|
" <td>NaN</td>\n",
|
|||
|
|
" <td>NaN</td>\n",
|
|||
|
|
" <td>2003.000000</td>\n",
|
|||
|
|
" <td>NaN</td>\n",
|
|||
|
|
" <td>NaN</td>\n",
|
|||
|
|
" <td>0.000000</td>\n",
|
|||
|
|
" <td>0.000000</td>\n",
|
|||
|
|
" <td>0.000000</td>\n",
|
|||
|
|
" <td>0.000000</td>\n",
|
|||
|
|
" <td>0.060000</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>50%</th>\n",
|
|||
|
|
" <td>8300.500000</td>\n",
|
|||
|
|
" <td>NaN</td>\n",
|
|||
|
|
" <td>NaN</td>\n",
|
|||
|
|
" <td>2007.000000</td>\n",
|
|||
|
|
" <td>NaN</td>\n",
|
|||
|
|
" <td>NaN</td>\n",
|
|||
|
|
" <td>0.080000</td>\n",
|
|||
|
|
" <td>0.020000</td>\n",
|
|||
|
|
" <td>0.000000</td>\n",
|
|||
|
|
" <td>0.010000</td>\n",
|
|||
|
|
" <td>0.170000</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>75%</th>\n",
|
|||
|
|
" <td>12449.750000</td>\n",
|
|||
|
|
" <td>NaN</td>\n",
|
|||
|
|
" <td>NaN</td>\n",
|
|||
|
|
" <td>2010.000000</td>\n",
|
|||
|
|
" <td>NaN</td>\n",
|
|||
|
|
" <td>NaN</td>\n",
|
|||
|
|
" <td>0.240000</td>\n",
|
|||
|
|
" <td>0.110000</td>\n",
|
|||
|
|
" <td>0.040000</td>\n",
|
|||
|
|
" <td>0.040000</td>\n",
|
|||
|
|
" <td>0.470000</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>max</th>\n",
|
|||
|
|
" <td>16600.000000</td>\n",
|
|||
|
|
" <td>NaN</td>\n",
|
|||
|
|
" <td>NaN</td>\n",
|
|||
|
|
" <td>2020.000000</td>\n",
|
|||
|
|
" <td>NaN</td>\n",
|
|||
|
|
" <td>NaN</td>\n",
|
|||
|
|
" <td>41.490000</td>\n",
|
|||
|
|
" <td>29.020000</td>\n",
|
|||
|
|
" <td>10.220000</td>\n",
|
|||
|
|
" <td>10.570000</td>\n",
|
|||
|
|
" <td>82.740000</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" </tbody>\n",
|
|||
|
|
"</table>\n",
|
|||
|
|
"</div>"
|
|||
|
|
],
|
|||
|
|
"text/plain": [
|
|||
|
|
" Rank Name Platform Year \\\n",
|
|||
|
|
"count 16598.000000 16598 16598 16327.000000 \n",
|
|||
|
|
"unique NaN 11493 31 NaN \n",
|
|||
|
|
"top NaN Need for Speed: Most Wanted DS NaN \n",
|
|||
|
|
"freq NaN 12 2163 NaN \n",
|
|||
|
|
"mean 8300.605254 NaN NaN 2006.406443 \n",
|
|||
|
|
"std 4791.853933 NaN NaN 5.828981 \n",
|
|||
|
|
"min 1.000000 NaN NaN 1980.000000 \n",
|
|||
|
|
"25% 4151.250000 NaN NaN 2003.000000 \n",
|
|||
|
|
"50% 8300.500000 NaN NaN 2007.000000 \n",
|
|||
|
|
"75% 12449.750000 NaN NaN 2010.000000 \n",
|
|||
|
|
"max 16600.000000 NaN NaN 2020.000000 \n",
|
|||
|
|
"\n",
|
|||
|
|
" Genre Publisher NA_Sales EU_Sales JP_Sales \\\n",
|
|||
|
|
"count 16598 16540 16598.000000 16598.000000 16598.000000 \n",
|
|||
|
|
"unique 12 578 NaN NaN NaN \n",
|
|||
|
|
"top Action Electronic Arts NaN NaN NaN \n",
|
|||
|
|
"freq 3316 1351 NaN NaN NaN \n",
|
|||
|
|
"mean NaN NaN 0.264667 0.146652 0.077782 \n",
|
|||
|
|
"std NaN NaN 0.816683 0.505351 0.309291 \n",
|
|||
|
|
"min NaN NaN 0.000000 0.000000 0.000000 \n",
|
|||
|
|
"25% NaN NaN 0.000000 0.000000 0.000000 \n",
|
|||
|
|
"50% NaN NaN 0.080000 0.020000 0.000000 \n",
|
|||
|
|
"75% NaN NaN 0.240000 0.110000 0.040000 \n",
|
|||
|
|
"max NaN NaN 41.490000 29.020000 10.220000 \n",
|
|||
|
|
"\n",
|
|||
|
|
" Other_Sales Global_Sales \n",
|
|||
|
|
"count 16598.000000 16598.000000 \n",
|
|||
|
|
"unique NaN NaN \n",
|
|||
|
|
"top NaN NaN \n",
|
|||
|
|
"freq NaN NaN \n",
|
|||
|
|
"mean 0.048063 0.537441 \n",
|
|||
|
|
"std 0.188588 1.555028 \n",
|
|||
|
|
"min 0.000000 0.010000 \n",
|
|||
|
|
"25% 0.000000 0.060000 \n",
|
|||
|
|
"50% 0.010000 0.170000 \n",
|
|||
|
|
"75% 0.040000 0.470000 \n",
|
|||
|
|
"max 10.570000 82.740000 "
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"execution_count": 4,
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "execute_result"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"vgsales.describe(include='all')"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 5,
|
|||
|
|
"metadata": {
|
|||
|
|
"colab": {
|
|||
|
|
"base_uri": "https://localhost:8080/"
|
|||
|
|
},
|
|||
|
|
"id": "U9B1rGuPkXYe",
|
|||
|
|
"outputId": "36c46aa5-b84d-49ba-f00b-bbcdae4d5efb"
|
|||
|
|
},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"text/plain": [
|
|||
|
|
"Electronic Arts 1351\n",
|
|||
|
|
"Activision 975\n",
|
|||
|
|
"Namco Bandai Games 932\n",
|
|||
|
|
"Ubisoft 921\n",
|
|||
|
|
"Konami Digital Entertainment 832\n",
|
|||
|
|
" ... \n",
|
|||
|
|
"Phantagram 1\n",
|
|||
|
|
"989 Sports 1\n",
|
|||
|
|
"Illusion Softworks 1\n",
|
|||
|
|
"TYO 1\n",
|
|||
|
|
"General Entertainment 1\n",
|
|||
|
|
"Name: Publisher, Length: 578, dtype: int64"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"execution_count": 5,
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "execute_result"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"vgsales[\"Publisher\"].value_counts()"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 6,
|
|||
|
|
"metadata": {
|
|||
|
|
"colab": {
|
|||
|
|
"base_uri": "https://localhost:8080/"
|
|||
|
|
},
|
|||
|
|
"id": "fOODoGBDuNVN",
|
|||
|
|
"outputId": "88220e61-99a8-4d7a-fc84-91601c4844e4"
|
|||
|
|
},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"text/plain": [
|
|||
|
|
"DS 2163\n",
|
|||
|
|
"PS2 2161\n",
|
|||
|
|
"PS3 1329\n",
|
|||
|
|
"Wii 1325\n",
|
|||
|
|
"X360 1265\n",
|
|||
|
|
"PSP 1213\n",
|
|||
|
|
"PS 1196\n",
|
|||
|
|
"PC 960\n",
|
|||
|
|
"XB 824\n",
|
|||
|
|
"GBA 822\n",
|
|||
|
|
"GC 556\n",
|
|||
|
|
"3DS 509\n",
|
|||
|
|
"PSV 413\n",
|
|||
|
|
"PS4 336\n",
|
|||
|
|
"N64 319\n",
|
|||
|
|
"SNES 239\n",
|
|||
|
|
"XOne 213\n",
|
|||
|
|
"SAT 173\n",
|
|||
|
|
"WiiU 143\n",
|
|||
|
|
"2600 133\n",
|
|||
|
|
"NES 98\n",
|
|||
|
|
"GB 98\n",
|
|||
|
|
"DC 52\n",
|
|||
|
|
"GEN 27\n",
|
|||
|
|
"NG 12\n",
|
|||
|
|
"SCD 6\n",
|
|||
|
|
"WS 6\n",
|
|||
|
|
"3DO 3\n",
|
|||
|
|
"TG16 2\n",
|
|||
|
|
"GG 1\n",
|
|||
|
|
"PCFX 1\n",
|
|||
|
|
"Name: Platform, dtype: int64"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"execution_count": 6,
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "execute_result"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"vgsales[\"Platform\"].value_counts()"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 10,
|
|||
|
|
"metadata": {
|
|||
|
|
"colab": {
|
|||
|
|
"base_uri": "https://localhost:8080/",
|
|||
|
|
"height": 299
|
|||
|
|
},
|
|||
|
|
"id": "rjfY8oCdlw19",
|
|||
|
|
"outputId": "c16b5900-3c45-4ab4-c892-5b0be7bbdd7d"
|
|||
|
|
},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"text/plain": [
|
|||
|
|
"<AxesSubplot:>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"execution_count": 10,
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "execute_result"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"image/png": "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
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 432x288 with 1 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {
|
|||
|
|
"needs_background": "light"
|
|||
|
|
},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"vgsales[\"Platform\"].value_counts().plot(kind=\"bar\")"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 11,
|
|||
|
|
"metadata": {
|
|||
|
|
"colab": {
|
|||
|
|
"base_uri": "https://localhost:8080/",
|
|||
|
|
"height": 313
|
|||
|
|
},
|
|||
|
|
"id": "FrKOc5OxvicT",
|
|||
|
|
"outputId": "04d5fe12-92e8-4e72-cb36-adbdbbb230d3"
|
|||
|
|
},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"text/plain": [
|
|||
|
|
"<AxesSubplot:xlabel='Platform'>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"execution_count": 11,
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "execute_result"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"image/png": "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
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 432x288 with 1 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {
|
|||
|
|
"needs_background": "light"
|
|||
|
|
},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"vgsales[[\"Platform\",\"JP_Sales\"]].groupby(\"Platform\").mean().plot(kind=\"bar\")"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 14,
|
|||
|
|
"metadata": {
|
|||
|
|
"colab": {
|
|||
|
|
"base_uri": "https://localhost:8080/",
|
|||
|
|
"height": 399
|
|||
|
|
},
|
|||
|
|
"id": "t-3fmcjiv9Cd",
|
|||
|
|
"outputId": "ab2be9c6-2cab-4e9c-d2c5-60e672137d92"
|
|||
|
|
},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"text/plain": [
|
|||
|
|
"<seaborn.axisgrid.FacetGrid at 0x7f432bf95e80>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"execution_count": 14,
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "execute_result"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"image/png": "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
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 467.6x360 with 1 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"import seaborn as sns\n",
|
|||
|
|
"sns.set_theme()\n",
|
|||
|
|
"sns.relplot(data=vgsales, x=\"JP_Sales\", y=\"NA_Sales\", hue=\"Genre\")"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 17,
|
|||
|
|
"metadata": {
|
|||
|
|
"colab": {
|
|||
|
|
"base_uri": "https://localhost:8080/"
|
|||
|
|
},
|
|||
|
|
"id": "3dKPNi2loZvE",
|
|||
|
|
"outputId": "ef08ce5e-9c4c-49b0-90ff-7bf74f578339"
|
|||
|
|
},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"text/plain": [
|
|||
|
|
"PS2 873\n",
|
|||
|
|
"DS 829\n",
|
|||
|
|
"Wii 530\n",
|
|||
|
|
"X360 507\n",
|
|||
|
|
"PSP 503\n",
|
|||
|
|
"PS3 488\n",
|
|||
|
|
"PS 471\n",
|
|||
|
|
"PC 396\n",
|
|||
|
|
"XB 339\n",
|
|||
|
|
"GBA 337\n",
|
|||
|
|
"GC 237\n",
|
|||
|
|
"3DS 205\n",
|
|||
|
|
"PSV 166\n",
|
|||
|
|
"PS4 143\n",
|
|||
|
|
"N64 126\n",
|
|||
|
|
"XOne 95\n",
|
|||
|
|
"SNES 95\n",
|
|||
|
|
"SAT 65\n",
|
|||
|
|
"WiiU 55\n",
|
|||
|
|
"2600 49\n",
|
|||
|
|
"NES 43\n",
|
|||
|
|
"GB 38\n",
|
|||
|
|
"DC 25\n",
|
|||
|
|
"GEN 10\n",
|
|||
|
|
"NG 8\n",
|
|||
|
|
"3DO 2\n",
|
|||
|
|
"WS 2\n",
|
|||
|
|
"GG 1\n",
|
|||
|
|
"SCD 1\n",
|
|||
|
|
"Name: Platform, dtype: int64"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"execution_count": 17,
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "execute_result"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"from sklearn.model_selection import train_test_split\n",
|
|||
|
|
"vgsales_train, vgsales_test = train_test_split(vgsales, test_size = 0.6, random_state = 1)\n",
|
|||
|
|
"vgsales_train[\"Platform\"].value_counts()"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 18,
|
|||
|
|
"metadata": {
|
|||
|
|
"colab": {
|
|||
|
|
"base_uri": "https://localhost:8080/"
|
|||
|
|
},
|
|||
|
|
"id": "O0aSynxruXwH",
|
|||
|
|
"outputId": "2512716a-4909-4a49-cf58-c74ae4433f8b"
|
|||
|
|
},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"text/plain": [
|
|||
|
|
"DS 1334\n",
|
|||
|
|
"PS2 1288\n",
|
|||
|
|
"PS3 841\n",
|
|||
|
|
"Wii 795\n",
|
|||
|
|
"X360 758\n",
|
|||
|
|
"PS 725\n",
|
|||
|
|
"PSP 710\n",
|
|||
|
|
"PC 564\n",
|
|||
|
|
"XB 485\n",
|
|||
|
|
"GBA 485\n",
|
|||
|
|
"GC 319\n",
|
|||
|
|
"3DS 304\n",
|
|||
|
|
"PSV 247\n",
|
|||
|
|
"PS4 193\n",
|
|||
|
|
"N64 193\n",
|
|||
|
|
"SNES 144\n",
|
|||
|
|
"XOne 118\n",
|
|||
|
|
"SAT 108\n",
|
|||
|
|
"WiiU 88\n",
|
|||
|
|
"2600 84\n",
|
|||
|
|
"GB 60\n",
|
|||
|
|
"NES 55\n",
|
|||
|
|
"DC 27\n",
|
|||
|
|
"GEN 17\n",
|
|||
|
|
"SCD 5\n",
|
|||
|
|
"NG 4\n",
|
|||
|
|
"WS 4\n",
|
|||
|
|
"TG16 2\n",
|
|||
|
|
"3DO 1\n",
|
|||
|
|
"PCFX 1\n",
|
|||
|
|
"Name: Platform, dtype: int64"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"execution_count": 18,
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "execute_result"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"vgsales_test[\"Platform\"].value_counts()"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": null,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [],
|
|||
|
|
"source": []
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"metadata": {
|
|||
|
|
"colab": {
|
|||
|
|
"collapsed_sections": [],
|
|||
|
|
"name": "Zadanie1.ipynb",
|
|||
|
|
"provenance": []
|
|||
|
|
},
|
|||
|
|
"kernelspec": {
|
|||
|
|
"display_name": "Python 3",
|
|||
|
|
"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": "3.7.3"
|
|||
|
|
}
|
|||
|
|
},
|
|||
|
|
"nbformat": 4,
|
|||
|
|
"nbformat_minor": 1
|
|||
|
|
}
|