Data
federal_election

federal_election

active ARFF CC0 Public Domain Visibility: public Uploaded 14-08-2019 by Thomas Schmitt
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General Description 2015-current: greater than $200.00. The Commission categorizes contributions from individuals using the calendar year-to-date amount for political action committee (PAC) and party committee receipts and the election-cycle-to-date amount for candidate receipts to determine whether the contribution meets the categorization threshold of greater than $200.00. 1989-2014: $200 and above. The Commission categorized contributions from individuals using the reporting period amount to determine whether a contribution met the categorization threshold of $200.00 or more. 1975-1988: $500 and above. The Commission categorized contributions from individuals using the reporting period amount to determine whether a contribution met the categorization threshold of $500.00 or more. header description can be found here : https://classic.fec.gov/finance/disclosure/metadata/DataDictionaryContributionsbyIndividuals.shtml

21 features

transaction_amt (target)numeric5221 unique values
0 missing
cmte_idstring7112 unique values
0 missing
amndt_indstring3 unique values
0 missing
rpt_tpstring26 unique values
0 missing
transaction_pgistring8 unique values
941013 missing
image_numnumeric1879157 unique values
0 missing
transaction_tpstring11 unique values
0 missing
entity_tpstring7 unique values
1438 missing
namestring1534998 unique values
141 missing
citystring27709 unique values
2176 missing
statestring67 unique values
8657 missing
zip_codestring86334 unique values
0 missing
employerstring657449 unique values
347250 missing
occupationstring145304 unique values
185724 missing
transaction_dtnumeric967 unique values
354 missing
other_idstring2543 unique values
3113577 missing
tran_idstring2999272 unique values
327 missing
file_numnumeric43597 unique values
1 missing
memo_cdstring2 unique values
3258287 missing
memo_textnominal16607 unique values
2927632 missing
sub_idnumeric51675 unique values
0 missing

62 properties

3348209
Number of instances (rows) of the dataset.
21
Number of attributes (columns) of the dataset.
0
Number of distinct values of the target attribute (if it is nominal).
10786577
Number of missing values in the dataset.
3346742
Number of instances with at least one value missing.
5
Number of numeric attributes.
1
Number of nominal attributes.
7.3531377584428E+17
Mean of means among attributes of the numeric type.
-18.52
First quartile of skewness among attributes of the numeric type.
0.24
Average class difference between consecutive instances.
Average mutual information between the nominal attributes and the target attribute.
36924.58
First quartile of standard deviation of attributes of the numeric type.
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.
Second quartile (Median) of entropy among attributes.
0
Number of attributes divided by the number of instances.
16607
Average number of distinct values among the attributes of the nominal type.
3.48
Second quartile (Median) of kurtosis 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.
-2.37
Mean skewness among attributes of the numeric type.
7391763.96
Second quartile (Median) of means among attributes of the numeric type.
Percentage of instances belonging to the most frequent class.
1.9041170400036E+17
Mean standard deviation of attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
Number of instances belonging to the most frequent class.
Minimal entropy among attributes.
-0.41
Second quartile (Median) of skewness among attributes of the numeric type.
Maximum entropy among attributes.
-0.91
Minimum kurtosis among attributes of the numeric type.
0
Percentage of binary attributes.
3003894.28
Second quartile (Median) of standard deviation of attributes of the numeric type.
4279.51
Maximum kurtosis among attributes of the numeric type.
6.2
Minimum of means among attributes of the numeric type.
99.96
Percentage of instances having missing values.
Third quartile of entropy among attributes.
3.6762387259385E+18
Maximum of means among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
15.34
Percentage of missing values.
2442.53
Third quartile of kurtosis among attributes of the numeric type.
Maximum mutual information between the nominal attributes and the target attribute.
16607
The minimal number of distinct values among attributes of the nominal type.
23.81
Percentage of numeric attributes.
1.8382844396066E+18
Third quartile of means among attributes of the numeric type.
16607
The maximum number of distinct values among attributes of the nominal type.
-35
Minimum skewness among attributes of the numeric type.
4.76
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
24.65
Maximum skewness among attributes of the numeric type.
0.98
Minimum standard deviation of attributes of the numeric type.
First quartile of entropy among attributes.
12.79
Third quartile of skewness among attributes of the numeric type.
9.4390772410544E+17
Maximum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
0.77
First quartile of kurtosis among attributes of the numeric type.
4.7602925999936E+17
Third quartile of standard deviation of attributes of the numeric type.
Average entropy of the attributes.
Number of instances belonging to the least frequent class.
414070.67
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.
978.01
Mean kurtosis among attributes of the numeric type.
0
Number of binary attributes.
First quartile of mutual information between the nominal attributes and the target attribute.

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