Top Anime Dataset 2024

Top Anime Dataset 2024

Datasets

Top Anime Dataset 2024

File

Top Anime Dataset 2024

Use Case

Top Anime Dataset 2024

Description

Explore the Top Anime Dataset 2024 featuring 22 detailed attributes per title. Perfect for building recommendation systems, analyzing trends, and predictive modeling.

Description:

The Top Anime Dataset 2024 is a comprehensive collection of data on the most popular and critically acclaimed anime series and movies as of 2024. This dataset is an invaluable resource for developers, data scientists, and researchers interested in:

  • Building personalized recommendation systems
  • Visualizing trends in anime popularity and ratings
  • Predicting future scores and popularity metrics
  • Analyzing genre-specific patterns and audience demographics
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Dataset Contents

The dataset encompasses a rich array of 22 features for each anime title, providing a multidimensional view of their characteristics:

Core Features

  • Score: The average rating assigned to each anime by viewers, reflecting overall quality and audience satisfaction.
  • Popularity: A ranking metric based on user engagement and interest levels across various platforms.
  • Rank: The position of each anime when ordered by score, popularity, or other criteria.
  • Members: The total number of users who have added the anime to their watchlists, favorites, or have interacted with it in some way.

Descriptive Features

  • Description: A detailed synopsis covering the plot, themes, and unique aspects of each anime.
  • Synonyms: Alternative titles, abbreviations, or colloquial names used for the anime.
  • Japanese Title: The original title written in Japanese characters.
  • English Title: The official or widely accepted English translation of the title.

Classification Features

  • Type: The format of the anime, such as TV series, movie, OVA (Original Video Animation), ONA (Original Net Animation), or special episodes.
  • Episodes (Eps): The total number of episodes available for the series or the runtime for movies.
  • Status: Current airing status—e.g., “Currently Airing,” “Finished Airing,” or “Upcoming.”
  • Aired: The original broadcast dates, including start and end dates.
  • Premiered: The specific season and year when the anime first aired, such as “Winter 2024.”
  • Broadcast: Scheduled airing times and the networks or platforms that broadcast the anime.

Production Features

  • Producers: Companies involved in funding and overseeing the production process.
  • Licensors: Entities authorized to distribute the anime outside its country of origin.
  • Studios: Animation studios responsible for creating the visual content.
  • Source: The original material from which the anime is adapted, such as manga, light novels, webtoons, or original screenplays.

Content Features

  • Genres: Categories that define the anime’s style and content, such as Action, Adventure, Romance, Sci-Fi, Fantasy, Mystery, Horror, Comedy, and Slice of Life.
  • Demographic: The target audience based on age and gender demographics—e.g., Shounen (young males), Shoujo (young females), Seinen (adult males), Josei (adult females).
  • Duration: The length of each episode or the total runtime for movies and specials.
  • Rating: Content suitability ratings, indicating appropriate age groups—e.g., G (General Audiences), PG, PG-13, R, R+, and NC-17.

Additional Features

To enrich the dataset and provide deeper insights, we’ve included the following additional features:

  • Opening and Ending Themes: Lists of theme songs, including titles and performing artists.
  • Main Characters: Names and brief descriptions of primary characters, along with their voice actors.
  • Staff Credits: Key production staff such as directors, scriptwriters, and character designers.
  • User Reviews and Ratings: Aggregated sentiment analysis from user reviews to gauge public opinion.
  • Awards and Nominations: Any industry accolades or nominations the anime has received.
  • Related Works: Connections to other media like sequels, prequels, spin-offs, and adaptations.

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