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eechidna (version 1.4.0)

firstpref_pollingbooth_download: Download first preference voting data from each polling booth, from the six Australian Federal elections between 2001 and 2016.

Description

Download first preference voting data from each polling booth, from the six Australian Federal elections between 2001 and 2016.

Usage

firstpref_pollingbooth_download(...)

Arguments

...

Additional arguments passed to `download.file`

Downloads and returns first preference votes for candidates in the House of Representatives, for each polling both, in the seven Australian Federal elections between 2001 and 2016.

Value

A data frame containing first preference votes

A dataset containing first preference vote counts, candidate names, polling place locations, and other results for the House of Representatives from the 2001, 2004, 2007, 2010, 2013 and 2016 Australian federal elections. This data set is obtained using the `firstpref_pollingbooth_download` function. The data were obtained from the Australian Electoral Commission.

Format

A data frame with the following variables:

  • StateAb: Abbreviation for state name

  • DivisionID: Electoral division ID

  • DivisionNm: Electoral division name

  • PollingPlaceID: Polling place ID

  • PollingPlace: Polling place name

  • CandidateID: Candidate ID

  • Surname: Candidate surname

  • GivenNm: Candidate given name

  • BallotPosition: Candidate's position on the ballot

  • Elected: Whether the candidate was elected (Y/N)

  • HistoricElected: Whether the candidate is the incumbent member

  • PartyAb: Abbreviation for political party name

  • PartyNm: Political party name

  • OrdinaryVotes: Number of ordinary votes cast at the polling place for the candidate

  • Swing: Percentage point change in ordinary votes for the party from the previous election

  • PremisesPostCode: Post code of polling booth

  • Latitude: Coordinates

  • Longitude: Coordinates

  • year: Election year

Examples

Run this code
# NOT RUN {
fp_pp <- firstpref_pollingbooth_download()
library(dplyr)
fp_pp %>% filter(year == 2016) %>% arrange(-OrdinaryVotes) %>% head
# }
# NOT RUN {
# }

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