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This project involves answering several questions like which genre has been dominating in the game industry,trends in gaming industry like platform,country,release year .This project provided an hands on indepth usage of data visualisation concepts and explored the various themes and highlights in R markdown.

Home Page: https://deepakkumargs.github.io/Video-Games-Sales-EDA/

License: GNU General Public License v3.0

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video-games-sales-eda's Introduction

Video-Games-Sales-EDA

This dataset contains a list of video games with sales greater than 100,000 copies. It was generated by a scrape of vgchartz.com.

Fields include

Rank - Ranking of overall sales Name - The games name Platform - Platform of the games release (i.e. PC,PS4, etc.) Year - 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. The script to scrape the data is available at https://github.com/GregorUT/vgchartzScrape. It is based on BeautifulSoup using Python. There are 16,598 records. 2 records were dropped due to incomplete information.

Dataset source:Kaggle.

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