MAL Top Rated Manga Data
Data Science and Analytics
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About
This data provides detailed insights into the top 1000 ranked mangas listed on MyAnimeList. It captures essential information concerning manga and their perceived average quality, as rated by readers. The resource showcases basic trends found among the highest-ranking titles, including statistical observations regarding publication status, user engagement, plot characteristics, and audience appeal. The content is derived directly from user preference and activity statistics.
Columns
- Index of Manga: The numerical index assigned to the manga.
- Title: The primary English title of the manga (featuring 956 unique values).
- Title_Synonym: Alternative or synonymous titles for the manga.
- Title_Japanese: The title written in Japanese characters (960 unique values).
- Status: Describes whether the manga has 'Finished' publication (72% of records) or is currently 'Publishing' (27% of records).
- Volumns: The total count of published volumes; approximately 30% of records are marked as unknown.
- Chapters: The total count of published chapters; approximately 30% of records are marked as unknown.
- Publishing: A boolean flag indicating if the manga is actively being published (True for 27% of records).
- Rank: The current ranking position of the manga on MyAnimeList, ranging up to 1023.
- Score: The average user rating/score, with a mean score of 8.17.
- Scored_by: The count of unique users who contributed to the score (maximum recorded count is 297k).
- Popularity: The popularity ranking assigned to the manga.
- Memebers: The count of MyAnimeList users who have added the manga to their reading list (mean count is 31.2k).
- Favorites: The count of users who have added the manga to their favourite list.
- Synopsis: A short summary or abstract describing the manga's plot (993 unique summaries).
- Publish_period: The period (start and end dates) during which the manga has been published (980 unique periods).
- Genre: The genre or category the manga belongs to (720 unique values).
Distribution
The data is structured as a CSV file titled
top_1000.csv, with a file size of approximately 909.3 kB. The structure consists of 1001 records (rows) and 17 fields (columns). Users should be aware that the content contains both English and Japanese literal characters, which may require specific parsing tools. The expected update frequency for this resource is quarterly.Usage
This resource is highly suitable for statistical modelling aimed at predicting user engagement or preference. It can be used for developing recommendation systems for media platforms and performing exploratory data analysis comparing metrics such as score, rank, and publication duration. Furthermore, it is ideal for market analysis and academic study of popular Japanese media consumption trends.
Coverage
The dataset specifically covers the Top 1000 ranked manga titles available through MyAnimeList. Geographic coverage relates to the global community of MyAnimeList users whose ratings and membership statistics determine the rankings. The metrics are derived from user activity and preference data, with specific time ranges captured in the
Publish_period column. Future additions are expected to include 500 more Manga Titles.License
CC0: Public Domain
Who Can Use It
- Researchers: To study cultural trends, demographic preference shifts, and the longevity of popular titles.
- Data Scientists: For building machine learning models based on large-scale user rating patterns.
- Media Analysts: To identify high-performing content types and user trends in the manga and anime space.
- Application Developers: To integrate official ranking and metadata from top titles into custom apps or websites.
Dataset Name Suggestions
- MAL Top Rated Manga Data
- Global Manga Ranking Metrics
- MyAnimeList 1000 Titles
- Premium Manga User Statistics
Attributes
Original Data Source: MAL Top Rated Manga Data
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