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视频游戏销售和评级

视频游戏销售和评级

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Video Games Classification

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    * 以上分析是由系统提取分析形成的结果,具体实际数据为准。

    README.md

    # Context This data set contains a list of video games with sales greater than 100,000 copies along with critic and user ratings. It is a combined web scrape from [VGChartz][1] and [Metacritic][2] along with manually entered year of release values for most games with a missing year of release. The original coding was created by [Rush Kirubi][3] and can be found [here][4], but it limited the data to only include a subset of video game platforms. Not all of the listed video games have information on Metacritic, so there data set does have missing values. # Content The fields include: - Name - The game's name - Platform - Platform of the games release - Year_of_Release - Year of the game's release - Genre - Genre of the game - Publisher - Publisher of the game - NA_Sales - Sales in North America (in millions) - EU_Sales - Sales in Europe (in millions) - JP_Sales - Sales in Japan (in millions) - Other_Sales - Sales in the rest of the world (in millions) - Global_Sales - Total worldwide sales (in millions) - Critic_score - Aggregate score compiled by Metacritic staff - Critic_count - The number of critics used in coming up with the critic score - User_score - Score by Metacritic's subscribers - User_count - Number of users who gave the user score - Rating - The ESRB ratings # Acknowledgements Again the main credit behind this data set goes to [Rush Kirubi][5]. I just commented out two lines of his code. Also the original inspiration for this data set came from [Gregory Smith][6] who originally scraped the data from VGChartz, it can be found [here][7]. [1]: http://www.vgchartz.com/gamedb/ [2]: http://www.metacritic.com/game [3]: https://www.kaggle.com/rush4ratio [4]: https://www.kaggle.com/rush4ratio/video-game-sales-with-ratings [5]: https://www.kaggle.com/rush4ratio [6]: https://www.kaggle.com/gregorut [7]: https://www.kaggle.com/gregorut/videogamesales
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