OpenML
Anime-Data

Anime-Data

active ARFF CC BY-NC-SA 4.0 Visibility: public Uploaded 23-03-2022 by Dustin Carrion
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Context Japanese animation, which is known as anime, has become internationally widespread nowadays. This dataset provides data on anime taken from Anime News Network. Content This dataset consists of 1563 anime data, with the following columns: Title Type number of episodes etc Acknowledgements The dataset was collected from http://www.myanimelist.net Inspiration This dataset can be used to build recommendation systems, predict a score, visualize anime similarity, etc.

20 features

Titlestring1560 unique values
0 missing
Typestring6 unique values
0 missing
Episodesstring107 unique values
0 missing
Statusstring2 unique values
0 missing
Start_airingstring1170 unique values
0 missing
End_airingstring761 unique values
0 missing
Starting_seasonstring5 unique values
0 missing
Broadcast_timestring199 unique values
0 missing
Producersstring808 unique values
0 missing
Licensorsstring111 unique values
0 missing
Studiosstring200 unique values
0 missing
Sourcesstring14 unique values
0 missing
Genresstring1003 unique values
0 missing
Durationstring171 unique values
0 missing
Ratingstring5 unique values
0 missing
Scorenumeric146 unique values
0 missing
Scored_bynumeric1548 unique values
0 missing
Membersnumeric1548 unique values
0 missing
Favoritesnumeric924 unique values
0 missing
Descriptionstring1545 unique values
0 missing

19 properties

1563
Number of instances (rows) of the dataset.
20
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
0
Number of missing values in the dataset.
0
Number of instances with at least one value missing.
4
Number of numeric attributes.
0
Number of nominal attributes.
0.01
Number of attributes divided by the number of instances.
20
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
0
Percentage of nominal attributes.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.
0
Number of binary attributes.
0
Percentage of binary attributes.
0
Percentage of instances having missing values.
Average class difference between consecutive instances.
0
Percentage of missing values.

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