OpenML
New-York-Times-Best-Sellers

New-York-Times-Best-Sellers

active ARFF CC BY-NC-SA 4.0 Visibility: public Uploaded 23-03-2022 by Onur Yildirim
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  • Computational Universe Machine Learning
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Content The data contains Best Sellers List published by The New York Times every Sunday. The temporal range is from 03-Jan-2010 to 29-Dec-2019 which makes it a whole decade of data. Each week, 5 books are named as best sellers for each category. Acknowledgements Image URL: Sincerely Media - Unsplash

12 features

published_datestring522 unique values
0 missing
list_namestring59 unique values
0 missing
list_name_encodedstring59 unique values
0 missing
ranknumeric5 unique values
0 missing
isbn13string8928 unique values
4 missing
isbn10string8124 unique values
1284 missing
titlestring6577 unique values
0 missing
authorstring3609 unique values
69 missing
descriptionstring8078 unique values
8119 missing
amazon_product_urlstring6719 unique values
0 missing
pricenumeric94 unique values
0 missing
weeks_on_listnumeric598 unique values
0 missing

19 properties

61430
Number of instances (rows) of the dataset.
12
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
9476
Number of missing values in the dataset.
9433
Number of instances with at least one value missing.
3
Number of numeric attributes.
0
Number of nominal attributes.
0
Number of attributes divided by the number of instances.
25
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.
15.36
Percentage of instances having missing values.
Average class difference between consecutive instances.
1.29
Percentage of missing values.

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