Data
Towards-Data-Science-articles-dataset-(2010-2021)

Towards-Data-Science-articles-dataset-(2010-2021)

active ARFF CC0: Public Domain Visibility: public Uploaded 23-03-2022 by Elif Ceren Gok
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  • Computer Systems Machine Learning
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Context Towards Data Science Inc. is a corporation registered in Canada as a platform for thousands of people to exchange ideas and to expand understanding of data science. This dataset contains data for the Towards Data Science article since 2010. It will be updated on a monthly basis. The data in this dataset was extracted from https://towardsdatascience.com/archive Content As of now, the dataset consists of 40 133 articles and 8 features: Publication date Title Author Article URL Number of claps Number of responses Amount of time spent on reading based on the average reading speed of an adult (roughly 265 WPM). Paid or free (Participation in Medium Partner Program)

8 features

publish_datestring1720 unique values
0 missing
titlestring45821 unique values
2 missing
authorstring12134 unique values
1 missing
urlstring46079 unique values
0 missing
clapsnumeric1138 unique values
0 missing
responsesnumeric92 unique values
0 missing
reading_timenumeric58 unique values
0 missing
paidnumeric2 unique values
0 missing

19 properties

46079
Number of instances (rows) of the dataset.
8
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
3
Number of missing values in the dataset.
3
Number of instances with at least one value missing.
4
Number of numeric attributes.
0
Number of nominal attributes.
0
Number of attributes divided by the number of instances.
50
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.
0.01
Percentage of instances having missing values.
Average class difference between consecutive instances.
0
Percentage of missing values.

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