Data
kickstarter_projects

kickstarter_projects

active ARFF CC BY-NC-SA 4.0 Visibility: public Uploaded 13-08-2019 by Thomas Schmitt
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Data are collected from Kickstarter Platform You'll find most useful data for project analysis. Columns are self explanatory except: usd_pledged: conversion in US dollars of the pledged column (conversion done by kickstarter). usd pledge real: conversion in US dollars of the pledged column (conversion from Fixer.io API). usd goal real: conversion in US dollars of the goal column (conversion from Fixer.io API).

14 features

ID (row identifier)numeric331675 unique values
0 missing
namestring329595 unique values
0 missing
categorystring159 unique values
0 missing
main_categorystring15 unique values
0 missing
currencystring14 unique values
0 missing
deadlinestring3102 unique values
0 missing
goalnumeric7539 unique values
0 missing
launchedstring331255 unique values
0 missing
pledgednumeric59839 unique values
0 missing
statenominal2 unique values
0 missing
backersnumeric3926 unique values
0 missing
countrystring23 unique values
0 missing
usd pledgednumeric89573 unique values
210 missing
usd_pledged_realnumeric98659 unique values
0 missing
usd_goal_realnumeric44651 unique values
0 missing

62 properties

331675
Number of instances (rows) of the dataset.
14
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
210
Number of missing values in the dataset.
210
Number of instances with at least one value missing.
6
Number of numeric attributes.
1
Number of nominal attributes.
53.08
First quartile of skewness among attributes of the numeric type.
17734.54
Mean of means among attributes of the numeric type.
726.85
First quartile of standard deviation of attributes of the numeric type.
Average class difference between consecutive instances.
Average mutual information between the nominal attributes and the target attribute.
Second quartile (Median) of entropy among attributes.
Entropy of the target attribute values.
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
8491.18
Second quartile (Median) of kurtosis among attributes of the numeric type.
0
Number of attributes divided by the number of instances.
2
Average number of distinct values among the attributes of the nominal type.
10263.73
Second quartile (Median) of means among attributes of the numeric type.
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
64.67
Mean skewness among attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
Percentage of instances belonging to the most frequent class.
404357.93
Mean standard deviation of attributes of the numeric type.
76.58
Second quartile (Median) of skewness among attributes of the numeric type.
Number of instances belonging to the most frequent class.
Minimal entropy among attributes.
7.14
Percentage of binary attributes.
99162.33
Second quartile (Median) of standard deviation of attributes of the numeric type.
Maximum entropy among attributes.
1.07
Minimum kurtosis among attributes of the numeric type.
0.06
Percentage of instances having missing values.
Third quartile of entropy among attributes.
12416.56
Maximum kurtosis among attributes of the numeric type.
1.82
Minimum of means among attributes of the numeric type.
0
Percentage of missing values.
10996.63
Third quartile of kurtosis among attributes of the numeric type.
44251.57
Maximum of means among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
42.86
Percentage of numeric attributes.
42195.39
Third quartile of means among attributes of the numeric type.
Maximum mutual information between the nominal attributes and the target attribute.
2
The minimal number of distinct values among attributes of the nominal type.
7.14
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
2
The maximum number of distinct values among attributes of the nominal type.
-1.67
Minimum skewness among attributes of the numeric type.
First quartile of entropy among attributes.
82.35
Third quartile of skewness among attributes of the numeric type.
83.11
Maximum skewness among attributes of the numeric type.
11.13
Minimum standard deviation of attributes of the numeric type.
4723.28
First quartile of kurtosis among attributes of the numeric type.
1111176.42
Third quartile of standard deviation of attributes of the numeric type.
1117916.7
Maximum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.
87.74
First quartile of means among attributes of the numeric type.
0
Standard deviation of the number of distinct values among attributes of the nominal type.
Average entropy of the attributes.
1
Number of binary attributes.
First quartile of mutual information between the nominal attributes and the target attribute.
7703.44
Mean kurtosis among attributes of the numeric type.

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