housevotes: United States Congressional Voting Records 1984
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housevotes R Documentation
United States Congressional Voting Records 1984
Description
This data set includes votes for each of the U.S. House of Representatives Congressmen on the 16
key votes identified by the CQA. The CQA lists nine different types of votes: voted for, paired for,
and announced for (these three simplified to yea), voted against, paired against, and announced
against (these three simplified to nay), voted present, voted present to avoid conflict of interest,
and did not vote or otherwise make a position known (these three simplified to an unknown disposition).
Format
A data frame with 435 rows and 17 columns
Source
Congressional Quarterly Almanac, 98th Congress, 2nd session 1984, Volume XL: Congressional Quarterly Inc., Washington, D.C., 1985
References
Newman, D.J. & Hettich, S. & Blake, C.L. & Merz, C.J. (1998). UCI Repository of machine
learning databases [https://www.ics.uci.edu/~mlearn/MLRepository.html]. Irvine, CA: University of
California, Department of Information and Computer Science.
h2o documentation built on May 29, 2024, 4:26 a.m.
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| housevotes | R Documentation |
United States Congressional Voting Records 1984
Description
This data set includes votes for each of the U.S. House of Representatives Congressmen on the 16 key votes identified by the CQA. The CQA lists nine different types of votes: voted for, paired for, and announced for (these three simplified to yea), voted against, paired against, and announced against (these three simplified to nay), voted present, voted present to avoid conflict of interest, and did not vote or otherwise make a position known (these three simplified to an unknown disposition).
Format
A data frame with 435 rows and 17 columns
Source
Congressional Quarterly Almanac, 98th Congress, 2nd session 1984, Volume XL: Congressional Quarterly Inc., Washington, D.C., 1985
References
Newman, D.J. & Hettich, S. & Blake, C.L. & Merz, C.J. (1998). UCI Repository of machine learning databases [https://www.ics.uci.edu/~mlearn/MLRepository.html]. Irvine, CA: University of California, Department of Information and Computer Science.
R Package Documentation
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