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Top-Rated Anime and Manga Dataset

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Tags and Keywords

Anime

Manga

Myanimelist

Ratings

Japan

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Top-Rated Anime and Manga Dataset  Dataset on Opendatabay data marketplace

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Free

About

The top-rated 10,000 anime and manga series is available, sourced from the popular website MyAnimeList as of January 2024. This data provides insights into user ratings, popularity, and various attributes of a vast collection of anime and manga, making it ideal for exploratory data analysis, data visualisation, and data cleaning tasks.

Columns

This dataset is divided into two files, anime.csv and manga.csv.
anime.csv Columns:
  • Title: The title of the anime, in both Japanese and English.
  • Score: User-assigned score on a scale out of 10.
  • Votes: The total number of user votes received.
  • Ranked: The anime's rank based on its score.
  • Popularity: The anime's popularity ranking.
  • Episodes: The total number of episodes in the series.
  • Status: The current airing status, such as 'Finished Airing'.
  • Aired: The airing period of the series.
  • Premiered: The season and year the series premiered.
  • Producers: The production companies involved.
  • Licensors: Companies that hold the license for the anime.
  • Studios: The animation studios responsible for production.
  • Source: The original source material, such as 'Manga' or 'Original'.
  • Duration: The length of each episode.
  • Rating: The age rating for the content (e.g., 'PG-13 - Teens 13 or older').
manga.csv Columns:
  • Title: The title of the manga, in both Japanese and English.
  • Score: User-assigned score on a scale out of 10.
  • Votes: The total number of user votes received.
  • Ranked: The manga's rank based on its score.
  • Popularity: The manga's popularity ranking.
  • Members: The number of community members who have the manga on their lists.
  • Favorites: The number of users who have favourited the manga.
  • Volumes: The total number of volumes.
  • Chapters: The total number of chapters.
  • Status: The publishing status, such as 'Finished'.
  • Published: The publication period of the series.
  • Genres: The genres associated with the manga.
  • Themes: The primary themes explored in the manga.
  • Demographics: The target audience demographic (e.g., 'Shounen').
  • Serialization: The publication where the manga was serialised.
  • Authors: The authors of the manga.

Distribution

The data is distributed in two tabular CSV files: anime.csv (2.45 MB) and manga.csv. The anime.csv file contains 10,000 records across 15 columns.

Usage

Ideal applications for this dataset include:
  • Exploratory data analysis to uncover trends in anime and manga popularity.
  • Data visualisation projects to compare ratings, genres, and studios.
  • Building recommendation systems based on user preferences and scores.
  • Practising data cleaning and preprocessing techniques on a real-world dataset.
  • Market analysis for the anime and manga industry.

Coverage

  • Geographic: The data is global, as it is sourced from the international user base of MyAnimeList.
  • Time Range: The dataset was scraped in January 2024 and covers a wide range of anime and manga release dates. The data is expected to be updated annually.
  • Demographics: Includes demographic information for manga, such as 'Shounen'.

License

CC0: Public Domain

Who Can Use It

  • Data Analysts & Scientists: For performing trend analysis, building predictive models, and practising data manipulation skills.
  • Anime & Manga Enthusiasts: To explore and visualise data about their favourite series and discover new ones.
  • Students & Educators: As a practical dataset for teaching data science concepts like data cleaning, visualisation, and analysis.
  • Content Creators: For generating data-driven articles, videos, or infographics about the anime and manga landscape.

Dataset Name Suggestions

  • MyAnimeList Top 10000 Anime & Manga 2024
  • Top-Rated Anime and Manga Dataset (MyAnimeList)
  • MyAnimeList 2024 Rankings and Ratings
  • Anime and Manga Community Favourites 2024
  • MAL Top-Rated Series Data

Attributes

Listing Stats

VIEWS

11

DOWNLOADS

0

LISTED

24/09/2025

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

Free

Download Dataset in ZIP Format