# Context Motivated by Gregory Smith's web scrape of VGChartz Video Games Sales, this data set simply extends the number of variables with another web scrape from Metacritic. Unfortunately, there are missing observations as Metacritic only covers a subset of the platforms. Also, a game may not have all the observations of the additional variables discussed below. Complete cases are ~ 6,900 # Content Alongside the fields: Name, Platform, Year_of_Release, Genre, Publisher, NA_Sales, EU_Sales, JP_Sales, Other_Sales, Global_Sales, we have:- 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 Developer - Party responsible for creating the game Rating - The ESRB ratings # Acknowledgements This repository, https://github.com/wtamu-cisresearch/scraper, after a few adjustments worked extremely well! # Inspiration It would be interesting to see any machine learning techniques or continued data visualisations applied on this data set.#