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Historic Video Game Score and Metadata
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About
Provides detailed metrics and metadata for Saga games across several decades. This collection includes critical meta-scores and user scores, along with specific information on platforms, developers, and genre classifications. This data is perfectly suited for exploratory data analysis, data storytelling, and visualizing trends in game performance and development.
Columns
The dataset contains 9 columns:
- meta_score: The score or rating assigned by critics. This column has a mean score of 72.2.
- score: This appears to be an alias or secondary description for the critic rating.
- title: The name of the specific game. There are 875 unique game titles present in the data.
- games name: An alias for the game title.
- platform: Details the version on which the game was played or reviewed, such as PC (29%) or iOS (8%).
- date: The release date of the game version.
- user_score: The score provided by users or the public (referred to as 'person score'). This column has a mean value of 7.32.
- link: The specific address or URL associated with the game entry.
- esrb_rating: The rating assigned to the game (e.g., E), indicating suitability.
- developers: Lists the software producers, with 'Sega' being the most common developer (28%).
- genres: Describes the game classification (e.g., 'Action', 'Platformer').
Distribution
The data file is typically found in CSV format, named
sagagame.csv, and has a size of 229.41 kB. It is comprised of 9 columns. The total number of valid records is 1481 for key fields like title and platform, although validity varies for score fields; for instance, meta_score has 788 valid entries, while user_score has 929 valid entries.Usage
This data is designed for a variety of analytical tasks, including:
- Performing Exploratory Data Analysis (EDA) to understand data characteristics.
- Creating Data Visualizations to highlight trends in scores and platform choice.
- Executing Data Cleaning procedures.
- Developing Feature Engineering pipelines.
- Generating Data Storytelling narratives focused on gaming history.
- Building potential machine learning models for score prediction.
Coverage
The dataset focuses on the story decades of Saga games. It captures various release dates, though no strict time range is defined. The platform distribution suggests broad coverage across different gaming systems. The use of ESRB ratings implies a strong focus on content relevant to North American markets.
License
CC0: Public Domain
Who Can Use It
This material is beneficial for:
- Data scientists and analysts beginning their journey in data exploration and visualization.
- Researchers interested in studying the correlation between critic and user reviews.
- Game industry professionals examining platform saturation and genre performance.
- Kaggle members looking for datasets suitable for feature engineering and basic machine learning model development.
Dataset Name Suggestions
- Saga Games Story Decades
- Sega Video Game Performance Metrics
- Historic Video Game Score and Metadata
Attributes
Original Data Source: Historic Video Game Score and Metadata
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