Votes {cba}

Congressional Votes 1984 Data Set

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).

Usage

data(Votes)

Format

A data frame with 435 observations on the following 17 variables.

handicapped-infants

a factor with levels n and y

water-project-cost-sharing

a factor with levels n and y

adoption-of-the-budget-resolution

a factor with levels n and y

physician-fee-freeze

a factor with levels n and y

el-salvador-aid

a factor with levels n and y

religious-groups-in-schools

a factor with levels n and y

anti-satellite-test-ban

a factor with levels n and y

aid-to-nicaraguan-contras

a factor with levels n and y

mx-missile

a factor with levels n and y

immigration

a factor with levels n and y

synfuels-corporation-cutback

a factor with levels n and y

education-spending

a factor with levels n and y

superfund-right-to-sue

a factor with levels n and y

crime

a factor with levels n and y

duty-free-exports

a factor with levels n and y

export-administration-act-south-africa

a factor with levels n and y

Class

a factor with levels democrat and republican

Details

The records are drawn from:

Congressional Quarterly Almanac, 98th Congress, 2nd session 1984, Volume XL: Congressional Quarterly Inc. Washington, D.C., 1985.

It is important to recognize that NA in this database does not mean that the value of the attribute is unknown. It means simply, that the value is not "yea" or "nay" (see above).

The current version of the UC Irvine Machine Learning Repository Congressional Voting Records data set is available from doi:10.24432/C5C01P.

Blake, C.L. & Merz, C.J. (1998). UCI Repository of Machine Learning Databases. Irvine, CA: University of California, Department of Information and Computer Science. Formerly available from ‘⁠http://www.ics.uci.edu/~mlearn/MLRepository.html⁠’.

Examples

data(Votes)
summary(Votes)
## maybe str(Votes) ; plot(Votes) ...