Data
Anime-Dataset

Anime-Dataset

active ARFF CC0: Public Domain Visibility: public Uploaded 23-03-2022 by Onur Yildirim
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  • Computer Systems Machine Learning
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Context As a fan of anime (Japanese animated media), I have always wanted to have information about all the anime I can get my hands on. Content This data was scraped from anime-planet on June 15, 2020. Acknowledgements I would like to thank anime-planet for doing an incredible job at creating a clean website, where relevant information was easy to find. Inspiration Using this data, I would like to determine which factors contribute to the rating of an anime. Additionally, it would be nice to create a recommendation engine.

18 features

titlestring14576 unique values
0 missing
mediaTypestring8 unique values
68 missing
epsnumeric209 unique values
359 missing
durationnumeric147 unique values
5441 missing
ongoingnominal2 unique values
0 missing
startYrnumeric104 unique values
222 missing
finishYrnumeric104 unique values
444 missing
sznOfReleasestring4 unique values
10811 missing
descriptionstring8107 unique values
6405 missing
studiosstring864 unique values
0 missing
tagsstring9580 unique values
0 missing
contentWarnstring178 unique values
0 missing
watchednumeric4317 unique values
222 missing
watchingnumeric1463 unique values
0 missing
wantWatchnumeric3521 unique values
0 missing
droppednumeric1232 unique values
0 missing
ratingnumeric3306 unique values
2471 missing
votesnumeric3787 unique values
2459 missing

19 properties

14578
Number of instances (rows) of the dataset.
18
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
28902
Number of missing values in the dataset.
13866
Number of instances with at least one value missing.
10
Number of numeric attributes.
1
Number of nominal attributes.
0
Number of attributes divided by the number of instances.
55.56
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
5.56
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.
1
Number of binary attributes.
5.56
Percentage of binary attributes.
95.12
Percentage of instances having missing values.
Average class difference between consecutive instances.
11.01
Percentage of missing values.

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