Steam is a digital distribution service for PC games. This cloud-based gaming library allows users to access purchased games from a storefront as well as download purchased games from a content delivery network, and also match with other users for multiplayer gaming. With over 150 million users across 194 countries, Steam represents a large dataset of gaming data perfect for analyzing. This project aims to retrieve and visualize the data available from Steam.

Machine Learning is implemented to use the data to predict if a game will be a success or not. This information will help video game publishers to determine whether a certain genre or game tag will have the likelihood of success. This tool may also assist with assigning an appropriate price to sell a new game at.

This site also displays visualizations created to explore and visualize the dataset as well as to help guide the machine learning models.