Data
Marginal-Revolution-Blog-Post-Data

Marginal-Revolution-Blog-Post-Data

active ARFF CC0: Public Domain Visibility: public Uploaded 23-03-2022 by Dustin Carrion
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  • Earth Science Machine Learning
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The following dataset contains data on blog posts from MarginalRevolution.com. For posts from Jan. 1, 2010 to 9/17/2016, the following attributes are gathered. Author Name Post Title Post Date Post content (words) Number of Words in post Number of Comments in post Dummy variable for several commonly used categories The data was scraped using Python's Beautiful Soup package, and cleaned in R. See my github page (https://github.com/wnowak10/) for the Python and R code.

22 features

authorstring2 unique values
0 missing
comment.countnumeric306 unique values
24 missing
datestring2448 unique values
0 missing
textstring12772 unique values
22 missing
titlestring9743 unique values
2 missing
wordcountnumeric802 unique values
33 missing
timestring1338 unique values
0 missing
CurrentAffairsnumeric2 unique values
0 missing
Educationnumeric2 unique values
0 missing
Musicnumeric2 unique values
0 missing
Philosophynumeric2 unique values
0 missing
PoliticalSciencenumeric2 unique values
0 missing
Sciencenumeric2 unique values
0 missing
Historynumeric2 unique values
0 missing
Lawnumeric2 unique values
0 missing
Gamesnumeric2 unique values
0 missing
Booksnumeric2 unique values
0 missing
FoodandDrinknumeric2 unique values
0 missing
DataSourcenumeric2 unique values
0 missing
WebTechnumeric2 unique values
0 missing
Economicsnumeric2 unique values
0 missing
Medicinenumeric2 unique values
0 missing
Show all 22 features

19 properties

NumberOfInstances
12820
Number of instances (rows) of the dataset.
NumberOfFeatures
22
Number of attributes (columns) of the dataset.
NumberOfClasses
Number of distinct values of the target attribute (if it is nominal).
NumberOfMissingValues
81
Number of missing values in the dataset.
NumberOfInstancesWithMissingValues
57
Number of instances with at least one value missing.
NumberOfNumericFeatures
17
Number of numeric attributes.
NumberOfSymbolicFeatures
0
Number of nominal attributes.
Dimensionality
0
Number of attributes divided by the number of instances.
PercentageOfNumericFeatures
77.27
Percentage of numeric attributes.
MajorityClassPercentage
Percentage of instances belonging to the most frequent class.
PercentageOfSymbolicFeatures
0
Percentage of nominal attributes.
MajorityClassSize
Number of instances belonging to the most frequent class.
MinorityClassPercentage
Percentage of instances belonging to the least frequent class.
MinorityClassSize
Number of instances belonging to the least frequent class.
NumberOfBinaryFeatures
0
Number of binary attributes.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0.44
Percentage of instances having missing values.
AutoCorrelation
Average class difference between consecutive instances.
PercentageOfMissingValues
0.03
Percentage of missing values.
Show all 19 properties

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