R Dataset / Package Stat2Data / InsuranceVote

On this R-data statistics page, you will find information about the InsuranceVote data set which pertains to InsuranceVote. The InsuranceVote data set is found in the Stat2Data R package. You can load the InsuranceVote data set in R by issuing the following command at the console data("InsuranceVote"). This will load the data into a variable called InsuranceVote. If R says the InsuranceVote data set is not found, you can try installing the package by issuing this command install.packages("Stat2Data") and then attempt to reload the data with the library() command. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the InsuranceVote R data set. The size of this file is about 16,186 bytes.

InsuranceVote

Description

Congressional votes

Format

A dataset with 435 observations on the following 9 variables.

R project statistics dataset table
Party Party affilication: D=Democrat or R=Republican
Dist. Congressional district (State-Number)
InsVote Vote on the health insurance bill: 1=yes or 0=no
Rep Indicator for Republicans
Dem Indicator for Democrats
Private Percentage of non-senior citizens in district with private health insurance
Public Percentage of non-senior citizens in district with public health insurance
Uninsured Percentage of non-senior citizens in district with no health insurance
Obama District winner in 2008 presidential election: 1=Obama 0=McCain

Details

On 7 November 2009 the U.S. House of Representatives voted, by the narrow margin of 220-215, for a bill to enact health insurance reform. Most Democrats voted yes while almost all Republicans voted no. This dataset contains data for each of the 435 representatives.

Source

Insurance data are from the American Community Survey (http://www.census.gov/acs/www/data_documentation/data_main/). Roll call of congressional votes on this bill can be found at http://clerk.house.gov/evs/2009/roll887.xml.

Dataset imported from https://www.r-project.org.

Attachments: csv, json

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