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Global Game Performance Metrics
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About
Video game performance metrics collected by scraping data from Metacritic in November 2020. The original intent behind curating this data was to facilitate the development of a simple content-based recommender system. It is suitable for basic Exploratory Data Analysis (EDA) and for studying patterns in game scoring, such as investigating differences between professional critic ratings and scores submitted by website users. The resource offers insights into the relative success and reception of numerous titles across various gaming platforms.
Columns
The dataset contains 10 distinct columns detailing aspects of video game releases and reception:
- name: The title used for the video game.
- platform: The system the game was released on, with PC being the platform with the highest frequency of entries.
- r-date: The date the game was released.
- score: The average rating given by critics (metascore), with scores ranging from 11 to 99.
- user score: The average rating provided by users of the website.
- developer: The individual or studio responsible for the game's creation.
- genre: The classification of the game, which may include multiple categories (e.g., Action, Platformer, 2D).
- players: Information detailing the number of players supported, noting that some entries specify "No Online Multiplayer" or "No info."
- critics: The count of professional critics whose reviews contributed to the official metascore, with values ranging from 0 to 126.
- users: The count of Metacritic users who submitted a rating for the game, with counts reaching approximately 146,000.
Distribution
The data is available in a CSV file format, named
games-data.csv, and has a file size of 2.25 MB. The structure consists of 10 columns and approximately 17,900 total records of game data. There is no expected update frequency for this dataset.Usage
This data product is ideally suited for several analytical tasks:
- Building and testing content-based recommender systems.
- Conducting Exploratory Data Analysis (EDA) on trends in game reviews and release frequency.
- Identifying patterns among high-scoring games.
- Searching for "hidden gems"—games that received a low critic score (metascore) but were highly rated by users.
- Developing visual dashboards for data exploration.
Coverage
The dataset covers a substantial time frame, documenting game releases from 30 April 1995 up to 12 November 2020. The information was collected in November 2020. The data includes titles released across a variety of gaming platforms, providing a broad overview of the industry during this period.
License
CC0: Public Domain
Who Can Use It
Intended users include:
- Data Scientists: For training machine learning models, particularly recommendation engines.
- Analysts and Researchers: For studying historical trends in media consumption and gaming performance metrics.
- Developers and Students: For exploratory research into game characteristics, score correlation, and industry popularity.
Dataset Name Suggestions
- Metacritic Video Game Scores
- Global Game Performance Metrics
- Video Game Review Metrics
- Game Scoring and Release Catalogue
Attributes
Original Data Source: Global Game Performance Metrics
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