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Video Game Hits

This project analyzes global video games sales from 1967 to 2017.


Team


Project Overview

We explore the history of video games, analyze sales, review data, and use machine learning to predict the next "hit" videogame. We also show off some cool artwork visualizations that we have created!

From the Atari 2600 to the XBox One, we categorized video games by platform, publisher, and genre. Which platforms outshine the others? Which publishers release the most games? What genres tend to be most successful?


Dataset

The dataset was generated from a scrape of VGChartz.


Technologies Used in the Web Application

  • Back End:

    • Heroku
    • Flask
    • SQLite
    • SQLAlchemy
    • Python 3.6
    • Pandas
    • Matplotlib
    • Scipy.stats
  • Front End:

    • HTML/CSS
    • Javascript
      • JS libraries: D3.js, Plotly.js

Web App Content

  • Mosaics
  • Trends
  • Top Sales
  • Game Count
  • Machine Learning

Releases

No releases published

Packages

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Contributors 5