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Action Anime Series Popularity Data
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Free
About
This collection offers a structured view of top-rated and highly popular Action anime series. It provides essential metadata for each title, including details on the production studio, the original source material, genre tags, and crucial metrics like user ratings and the total number of voters. The data is suitable for projects aimed at understanding fan culture and animated media consumption patterns.
Columns
- Title: The official name of the anime series.
- Production: The company or studio responsible for creating the anime.
- Episodes: The total number of episodes released for the series.
- Source: Indicates the material the story originated from (e.g., Manga, Original).
- Genre: Specific genre classifications assigned to the anime.
- Airdate: The initial broadcast date of the series.
- Rating: The score given to the anime based on community feedback.
- Voters: The count of users who participated in providing the rating.
- Theme: Associated sub-themes (e.g., Shounen, Super Power).
Distribution
This dataset contains a static collection of 1992 records. The structure includes nine distinct columns. The data is delivered in a CSV format, specifically named
anime.csv, with a file size of 230.54 kB. No future updates are expected for this file.Usage
This resource is ideally suited for data visualization projects focused on the animation industry. It can be used to analyse audience engagement by correlating voter counts and ratings with production companies. The data allows for detailed statistical analysis of prevailing trends, such as the most common source materials or episode counts among top-ranking action series.
Coverage
The data focuses exclusively on anime titles classified as Action, drawing information gathered from the MyAnimeList website. While the temporal scope spans various broadcast years, approximately half of the Airdate entries are currently missing.
License
CC0: Public Domain
Who Can Use It
- Media Researchers: To study the relationship between production elements, popularity, and user ratings.
- Data Scientists: For developing models that predict anime success or for building content recommendation systems based on genre and user metrics.
- Visualization Experts: Seeking high-quality data to illustrate trends within the Action anime category.
Dataset Name Suggestions
- Top MyAnimeList Action Anime Metrics
- Action Anime Series Popularity Data
- Anime Ratings and Production Catalogue
- Popular Action Anime Statistics
Attributes
Original Data Source: Action Anime Series Popularity Data
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