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kickstarter_projects

kickstarter_projects

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

8 tasks

0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
Define a new task