aecdop_transformed: Distribution of preferences in wide form for selected parties...

In prefviz: Visualizes Preference Data via Ternary Plots in Two and Higher Dimensions

Distribution of preferences in wide form for selected parties (2022 and 2025)

Description

Wide-form versions of the Australian Federal Election distribution-of- preferences data, aggregated to selected parties within each electoral division and couting round. Each row gives the vote share for a set of parties and an "Other" category at a given count stage in a given division. These datasets are derived from aecdop_2022 and aecdop_2025 for ease of analysis and visualisation.

Usage

aecdop22_transformed

aecdop25_transformed

Format

For aecdop22_transformed, a tibble with 1,052 rows and 6 columns:

DivisionNm

Name of the electoral division (e.g., "Adelaide").

CountNumber

Round in the counting procedure, starting from 0 (first preference).

ElectedParty

Party abbreviation of the candidate ultimately elected in the division (e.g., "ALP", "LNP").

ALP

Proportion of votes for the Australian Labor Party at this count, between 0 and 1.

LNP

Proportion of votes for the Coalition grouping at this count, between 0 and 1.

Other

Proportion of votes for all other parties and candidates combined at this count, between 0 and 1.

For aecdop25_transformed, a tibble with 976 rows and 8 columns:

DivisionNm

Name of the electoral division (e.g., "Adelaide").

CountNumber

Round in the counting procedure, starting from 0 (first preference).

ElectedParty

Party abbreviation of the candidate ultimately elected in the division (e.g., "ALP", "GRN", "LNP", "IND").

ALP

Proportion of votes for the Australian Labor Party at this count, between 0 and 1.

GRN

Proportion of votes for the Australian Greens at this count, between 0 and 1.

LNP

Proportion of votes for the Coalition grouping at this count, between 0 and 1.

Other

Proportion of votes for all other parties and candidates combined at this count, between 0 and 1.

IND

Proportion of votes for independent candidates at this count, between 0 and 1.

An object of class tbl_df (inherits from tbl, data.frame) with 1052 rows and 6 columns.

An object of class tbl_df (inherits from tbl, data.frame) with 976 rows and 8 columns.

Details

Two datasets are provided:

• aecdop22_transformed: 2022 Federal Election (1,052 rows), aggregated to Labor (ALP), Coalition (LNP), and Other (Other)

• aecdop25_transformed: 2025 Federal Election (976 rows), aggregated to Labor (ALP), Coalition (LNP), Greens (GRN), Independent (IND) and Other (Other)

Within each row, the party columns represent proportions that sum to 1 (up to rounding), giving a compositional view of the distribution of preferences at each count stage. These structures are designed for use in simplex-based visualisations and related methods.

See Also

aecdop_2022, aecdop_2025

Examples

data(aecdop22_transformed)
data(aecdop25_transformed)

# Proportions for Adelaide over the count in 2022
aecdop22_transformed |>
  dplyr::filter(DivisionNm == "Adelaide")

prefviz documentation built on April 13, 2026, 5:07 p.m.