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Crunchyroll Anime Metrics Dataset
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Free
About
This dataset provides details on anime titles obtained from Crunchyroll, including their ratings, the number of user votes, and genre classifications. It serves as a valuable resource for analysing anime popularity and how audiences respond to them on the platform. The data collection was facilitated by utilising Crunchyroll's sitemap found in robots.txt.
Columns
- anime: The English title of the anime.
- anime_url: The specific URL for the anime on Crunchyroll.
- anime_img: The URL of the anime's image, hosted by Crunchyroll.
- episodes: The total number of episodes for the anime available on Crunchyroll.
- votes: The overall count of votes received by the anime.
- votes_weight: The aggregated sum of all star ratings (e.g., 1-5 stars) given to the anime.
- rate_1_stars: The quantity of 1-star votes assigned to the anime.
- rate_2_stars: The quantity of 2-star votes assigned to the anime.
- rate_3_stars: The quantity of 3-star votes assigned to the anime.
- rate_4_stars: The quantity of 4-star votes assigned to the anime.
- rate_5_stars: The quantity of 5-star votes assigned to the anime.
- rate: The average rating of the anime, scaled out of a maximum of 5 stars.
- genre_action: A binary indicator (1 for yes, 0 for no) for the Action genre.
- genre_adventure: A binary indicator (1 for yes, 0 for no) for the Adventure genre.
- genre_comedy: A binary indicator (1 for yes, 0 for no) for the Comedy genre.
- genre_drama: A binary indicator (1 for yes, 0 for no) for the Drama genre.
- genre_family: A binary indicator (1 for yes, 0 for no) for the Family genre.
- genre_fantasy: A binary indicator (1 for yes, 0 for no) for the Fantasy genre.
- genre_food: A binary indicator (1 for yes, 0 for no) for the Food genre.
- genre_harem: A binary indicator (1 for yes, 0 for no) for the Harem genre.
- genre_historical: A binary indicator (1 for yes, 0 for no) for the Historical genre.
- genre_horror: A binary indicator (1 for yes, 0 for no) for the Horror genre.
- genre_idols: A binary indicator (1 for yes, 0 for no) for the Idols genre.
- genre_isekai: A binary indicator (1 for yes, 0 for no) for the Isekai genre.
- genre_jdrama: A binary indicator (1 for yes, 0 for no) for the JDrama genre.
- genre_magical girls: A binary indicator (1 for yes, 0 for no) for the Magical Girls genre.
- genre_martial arts: A binary indicator (1 for yes, 0 for no) for the Martial Arts genre.
- genre_mecha: A binary indicator (1 for yes, 0 for no) for the Mecha genre.
- genre_music: A binary indicator (1 for yes, 0 for no) for the Music genre.
- genre_mystery: A binary indicator (1 for yes, 0 for no) for the Mystery genre.
- genre_post-apocalyptic: A binary indicator (1 for yes, 0 for no) for the Post-Apocalyptic genre.
- genre_romance: A binary indicator (1 for yes, 0 for no) for the Romance genre.
- genre_sci-fi: A binary indicator (1 for yes, 0 for no) for the Sci-Fi genre.
- genre_seinen: A binary indicator (1 for yes, 0 for no) for the Seinen genre.
- genre_sgdrama: A binary indicator (1 for yes, 0 for no) for the SGDrama genre.
- genre_shojo: A binary indicator (1 for yes, 0 for no) for the Shojo genre.
- genre_shonen: A binary indicator (1 for yes, 0 for no) for the Shonen genre.
- genre_slice of life: A binary indicator (1 for yes, 0 for no) for the Slice of Life genre.
- genre_sports: A binary indicator (1 for yes, 0 for no) for the Sports genre.
- genre_supernatural: A binary indicator (1 for yes, 0 for no) for the Supernatural genre.
- genre_thriller: A binary indicator (1 for yes, 0 for no) for the Thriller genre.
Distribution
The dataset is available as a CSV file named 'animes.csv', with a size of 382.96 kB. It is structured with 41 columns and contains 1255 unique records. All entries across all columns are reported as valid, with no mismatched or missing values.
Usage
This dataset is well-suited for a variety of applications, including:
- Analysing patterns in anime popularity and identifying emerging trends.
- Examining how users distribute their ratings and general audience sentiment.
- Developing and refining anime recommendation systems.
- Conducting market research pertinent to the anime entertainment sector.
Coverage
The data includes anime titles that have been catalogued and crawled from the Crunchyroll platform. Although a precise time range for the data collection is not specified, it reflects the collection of anime titles present in the repository at the time of its creation. The scope primarily captures user engagement and rating information from Crunchyroll's global user base.
License
CC0: Public Domain
Who Can Use It
- Data Scientists and Analysts: To build predictive models, perform statistical investigations into anime consumption, and uncover audience preferences.
- Anime Enthusiasts and Bloggers: For in-depth research, to inform content creation, and to explore popular or niche anime series in detail.
- Application Developers: To integrate current anime data into new software, online tools, or database services.
- Content and Marketing Professionals: To assess audience interest, strategise content development, and identify market opportunities within the digital entertainment space.
Dataset Name Suggestions
- Crunchyroll Anime Ratings and Genre Data
- Crunchyroll Anime Metrics Dataset
- Anime Popularity and Characteristics on Crunchyroll
- Global Crunchyroll Anime Database
Attributes
Original Data Source: Crunchyroll Anime Metrics Dataset
QUALITY