Data
Electoral-Integrity-in-2016-US-Election

Electoral-Integrity-in-2016-US-Election

active ARFF CC0: Public Domain Visibility: public Uploaded 24-03-2022 by Dustin Carrion
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Context Electoral integrity refers to international standards and global norms governing the appropriate conduct of elections. These standards have been endorsed in a series of authoritative conventions, treaties, protocols, and guidelines by agencies of the international community and apply universally to all countries throughout the electoral cycle, including during the pre-electoral period, the campaign, on polling day, and in its aftermath. Content The Perceptions of Electoral Integrity (PEI) survey asks experts to evaluate elections according to 49 indicators, grouped into eleven categories reflecting the whole electoral cycle. The PEI dataset is designed to provide a comprehensive, systematic and reliable way to monitor the quality of elections worldwide. It includes disaggregated scores for each of the individual indicators, summary indices for the eleven dimensions of electoral integrity, and a PEI index score out of 100 to summarize the overall integrity of the election. Acknowledgements This study was conducted by Pippa Norris, Alessandro Nai, and Max Grmping for Harvard University's Electoral Integrity Project.

85 features

Election_Yearnumeric1 unique values
0 missing
Expert_IDnumeric726 unique values
0 missing
Statestring51 unique values
0 missing
Sexstring2 unique values
0 missing
Age_Rangestring7 unique values
0 missing
Politiciannumeric1 unique values
720 missing
Candidatenumeric1 unique values
723 missing
Activistnumeric1 unique values
717 missing
Monitornumeric1 unique values
722 missing
Election_Officialnumeric1 unique values
715 missing
Voternumeric1 unique values
89 missing
Citizenstring2 unique values
21 missing
Political_Scalenumeric10 unique values
8 missing
Candidate_Supportedstring3 unique values
108 missing
Perceptions_of_Electoral_Integrity_Indexnumeric561 unique values
11 missing
State_Electoral_Integritynumeric10 unique values
6 missing
National_Electoral_Integritynumeric10 unique values
3 missing
Laws_Discriminatedstring7 unique values
1 missing
Laws_Favored_Incumbentstring7 unique values
1 missing
Laws_Restricted_Citizen_Rightsstring6 unique values
0 missing
Electoral_Laws_Indexnumeric13 unique values
30 missing
Election_Managed_Wellstring6 unique values
1 missing
Voting_Information_Availablestring7 unique values
2 missing
Election_Officials_Fairstring7 unique values
1 missing
Election_Followed_Lawstring7 unique values
0 missing
Election_Procedures_Indexnumeric62 unique values
2 missing
Boundaries_Discriminatedstring7 unique values
0 missing
Boundaries_Favored_Incumbentstring7 unique values
0 missing
Boundaries_Impartialstring7 unique values
2 missing
Voting_District_Boundaries_Indexnumeric80 unique values
3 missing
Citizens_Not_Found_in_Registerstring7 unique values
1 missing
Register_Inaccuratestring7 unique values
1 missing
Ineligible_Voters_Registeredstring7 unique values
1 missing
Voter_Registration_Indexnumeric105 unique values
9 missing
Opposition_Preventedstring7 unique values
1 missing
Women_Provided_Opportunitystring6 unique values
0 missing
Leaders_Selected_Candidatesstring7 unique values
0 missing
Campaign_Rallies_Restrictedstring7 unique values
1 missing
Party/Candidate_Registration_Indexnumeric132 unique values
4 missing
Newspapers_Balancedstring6 unique values
1 missing
Television_Favored_Incumbentstring7 unique values
1 missing
Media_Access_Fairstring7 unique values
2 missing
Media_Coverage_Fairstring6 unique values
1 missing
Social_Media_Exposed_Fraudstring7 unique values
2 missing
Media_Coverage_Indexnumeric170 unique values
4 missing
Subsidy_Access_Fairstring7 unique values
2 missing
Donation_Access_Fairstring7 unique values
0 missing
Campaign_Accounts_Transparentstring7 unique values
0 missing
Elections_Bought_by_Richstring7 unique values
1 missing
Resources_Improperly_Usedstring7 unique values
1 missing
Campaign_Finance_Indexnumeric199 unique values
8 missing
Voters_Threatened_with_Violencestring6 unique values
1 missing
Fradulent_Votes_Caststring6 unique values
1 missing
Voting_Process_Easystring7 unique values
1 missing
Choice_of_Candidatesstring6 unique values
2 missing
Postal_Ballots_Availablestring7 unique values
3 missing
Disabled_Provided_Accessstring7 unique values
2 missing
Expatriates_Able_to_Votestring6 unique values
5 missing
Internet_Ballots_Availablestring7 unique values
3 missing
Voting_Process_Indexnumeric204 unique values
7 missing
Ballot_Boxes_Securestring7 unique values
1 missing
Results_Announced_Without_Delaystring6 unique values
0 missing
Vote_Count_Fairstring6 unique values
2 missing
International_Monitors_Restrictedstring7 unique values
0 missing
Domestic_Monitors_Restrictedstring7 unique values
1 missing
Vote_Count_Indexnumeric161 unique values
10 missing
Results_Challengedstring7 unique values
2 missing
Protests_Peacefulstring7 unique values
2 missing
Protests_Violentstring7 unique values
2 missing
Dispute_Resolved_in_Courtsstring7 unique values
1 missing
Election_Results_Indexnumeric128 unique values
5 missing
Authorities_Impartialstring6 unique values
1 missing
Information_Distributedstring7 unique values
2 missing
Authorities_Scrutinizedstring7 unique values
1 missing
Authorities_Performed_Wellstring6 unique values
1 missing
Electoral_Authorities_Indexnumeric98 unique values
5 missing
Election_Riggedstring6 unique values
1 missing
Deadlines_Restrictivestring6 unique values
2 missing
Voters_Waitedstring7 unique values
0 missing
Voters_Intimidatedstring7 unique values
2 missing
Multiple_Ballots_Caststring7 unique values
2 missing
Machines_Accuratestring7 unique values
2 missing
Records_Securestring7 unique values
3 missing
Votes_Counted_Quicklystring7 unique values
0 missing
Outcome_Reflected_Popular_Willstring7 unique values
1 missing

19 properties

726
Number of instances (rows) of the dataset.
85
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
4001
Number of missing values in the dataset.
726
Number of instances with at least one value missing.
23
Number of numeric attributes.
0
Number of nominal attributes.
0.12
Number of attributes divided by the number of instances.
27.06
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.
100
Percentage of instances having missing values.
Average class difference between consecutive instances.
6.48
Percentage of missing values.

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