Although this package contains
many convenient functions to process and displays the election data,
there are probably many cases where the data in its original format is
preferable - especially by an advanced analysis doing ad-hoc analysis.
For these reasons, the functions that read the data in its “original”
form are also exported for use. These are:
Please note that the presented here has been downloaded from the
AEC’s website.
Primary Vote
It is possible to get all primary vote results for all electorates in
all elections from 2044, by running get_house_primary_vote().
More usefully, the function allows filtering by a number of electorates
for a number of years, as shown in the below example:
get_house_primary_vote(division = c("Cowan","Curtin"),year=c(2019,2022))
#> # A tibble: 1,735 × 17
#> Year StateAb DivisionID DivisionNm PollingPlaceID PollingPlace CandidateID Surname GivenNm Ballo…¹ Elected Histo…² PartyAb PartyNm Ordin…³ Swing Sitti…⁴
#> <dbl> <chr> <int> <chr> <int> <chr> <int> <chr> <chr> <int> <lgl> <lgl> <chr> <chr> <int> <dbl> <lgl>
#> 1 2022 WA 237 Cowan 11591 Alexander Heights 37205 ALY Anne 1 TRUE TRUE ALP Austra… 688 9.18 FALSE
#> 2 2022 WA 237 Cowan 11591 Alexander Heights 36591 TRIPP Isabella 2 FALSE FALSE GRN The Gr… 124 -1.47 FALSE
#> 3 2022 WA 237 Cowan 11591 Alexander Heights 36484 IRADUKUNDA Sylvia 3 FALSE FALSE AUC Austra… 28 0.05 FALSE
#> 4 2022 WA 237 Cowan 11591 Alexander Heights 37243 CALAUTTI Michael 4 FALSE FALSE CYA Austra… 27 1.96 FALSE
#> 5 2022 WA 237 Cowan 11591 Alexander Heights 37387 WALSH Tyler 5 FALSE FALSE ON Paulin… 38 -3.35 FALSE
#> 6 2022 WA 237 Cowan 11591 Alexander Heights 37222 van KRIEKEN Micah 6 FALSE FALSE LDP Libera… 11 0.8 FALSE
#> 7 2022 WA 237 Cowan 11591 Alexander Heights 37841 LAVERACK Roland 7 FALSE FALSE WAP WESTER… 26 1.89 FALSE
#> 8 2022 WA 237 Cowan 11591 Alexander Heights 36483 HAND Claire Eli… 8 FALSE FALSE UAPP United… 34 -0.24 FALSE
#> 9 2022 WA 237 Cowan 11591 Alexander Heights 36574 CONNELLY Vince 9 FALSE TRUE LP Liberal 369 -9.96 FALSE
#> 10 2022 WA 237 Cowan 11591 Alexander Heights 37219 ANAGNO Michael 10 FALSE FALSE AJP Animal… 33 2.39 FALSE
#> # … with 1,725 more rows, and abbreviated variable names ¹BallotPosition, ²HistoricElected, ³OrdinaryVotes, ⁴SittingMemberFl
The function allows also it to narrow down to specific electorates.
For instance, to check the primary vote for ALP candidates, for both
electorates in polling places named “Perth”:
library(dplyr)
get_house_primary_vote(division = c("Cowan","Curtin"),
year=c(2019,2022),
polling_places = "Perth") |>
filter(PartyAb=="ALP")
#> # A tibble: 4 × 17
#> Year StateAb DivisionID DivisionNm PollingPlaceID PollingPlace CandidateID Surname GivenNm Ballo…¹ Elected Histo…² PartyAb PartyNm Ordin…³ Swing Sitti…⁴
#> <dbl> <chr> <int> <chr> <int> <chr> <int> <chr> <chr> <int> <lgl> <lgl> <chr> <chr> <int> <dbl> <lgl>
#> 1 2022 WA 237 Cowan 107098 Perth CBD East COWAN PPVC 37205 ALY Anne 1 TRUE TRUE ALP Austra… 97 15.0 FALSE
#> 2 2022 WA 238 Curtin 99650 Perth CBD East CURTIN PPVC 37282 SPENCER Yannick 7 FALSE FALSE ALP Austra… 50 -0.88 FALSE
#> 3 2022 WA 238 Curtin 94024 Perth CBD West CURTIN PPVC 37282 SPENCER Yannick 7 FALSE FALSE ALP Austra… 168 -2.5 FALSE
#> 4 2019 WA 238 Curtin 94024 Perth CURTIN PPVC 33431 MEECHAM Rob 7 FALSE FALSE ALP Austra… 316 0.43 FALSE
#> # … with abbreviated variable names ¹BallotPosition, ²HistoricElected, ³OrdinaryVotes, ⁴SittingMemberFl
The function also can present the division totals, for example:
get_house_primary_vote(division = c("Cowan","Curtin"),
year=c(2019,2022),
aggregation = TRUE)
#> # A tibble: 37 × 14
#> Year StateAb DivisionID DivisionNm CandidateID Surname GivenNm BallotPosition Elected HistoricElected PartyAb PartyNm SittingMem…¹ Ordin…²
#> <dbl> <chr> <int> <chr> <int> <chr> <chr> <int> <lgl> <lgl> <chr> <chr> <lgl> <int>
#> 1 2019 WA 237 Cowan 999 Informal Informal 999 FALSE FALSE Informal Informal FALSE 4090
#> 2 2019 WA 237 Cowan 32239 COOPER Mark 1 FALSE FALSE GRN The Greens (WA) FALSE 6493
#> 3 2019 WA 237 Cowan 32778 LEBRASSE Andre 4 FALSE FALSE AUC Australian Christians FALSE 1514
#> 4 2019 WA 237 Cowan 32875 BEDFORD Paul James 6 FALSE FALSE ASP Shooters, Fishers and Farmers FALSE 1101
#> 5 2019 WA 237 Cowan 32934 WESTCOTT Peter 3 FALSE FALSE UAPP United Australia Party FALSE 1582
#> 6 2019 WA 237 Cowan 33348 ALY Anne 2 TRUE TRUE ALP Australian Labor Party FALSE 26330
#> 7 2019 WA 237 Cowan 33389 STEWART Isaac 7 FALSE FALSE LP Liberal FALSE 26721
#> 8 2019 WA 237 Cowan 33450 MUNDY Sheila 5 FALSE FALSE ON Pauline Hanson's One Nation FALSE 3641
#> 9 2019 WA 238 Curtin 999 Informal Informal 999 FALSE FALSE Informal Informal FALSE 2364
#> 10 2019 WA 238 Curtin 32149 PIDGEON Cameron 2 FALSE FALSE GRN The Greens (WA) FALSE 10905
#> # … with 27 more rows, and abbreviated variable names ¹SittingMemberFl, ²OrdinaryVotes
Preferences
To retrieve preferences for one division for a particular year, the
function is called get_house_preferences()
get_house_preferences("Wills",2019) |> head(10)
#> # A tibble: 10 × 16
#> Year StateAb DivisionId DivisionNm PPId PPNm CountNum BallotPosition CandidateId Surname GivenNm PartyAb PartyNm Sitti…¹ Calcu…² Calcu…³
#> <dbl> <chr> <int> <chr> <int> <chr> <int> <int> <int> <chr> <chr> <chr> <chr> <chr> <chr> <dbl>
#> 1 2019 VIC 234 Wills 0 ABSENT 0 1 32688 MILES Christopher James AJP Animal Justice Party N Prefer… 254
#> 2 2019 VIC 234 Wills 0 ABSENT 0 1 32688 MILES Christopher James AJP Animal Justice Party N Prefer… 4.65
#> 3 2019 VIC 234 Wills 0 ABSENT 0 1 32688 MILES Christopher James AJP Animal Justice Party N Transf… 0
#> 4 2019 VIC 234 Wills 0 ABSENT 0 1 32688 MILES Christopher James AJP Animal Justice Party N Transf… 0
#> 5 2019 VIC 234 Wills 0 ABSENT 0 2 32398 BOLTON Susanne Alison VNS Victorian Socialists N Prefer… 238
#> 6 2019 VIC 234 Wills 0 ABSENT 0 2 32398 BOLTON Susanne Alison VNS Victorian Socialists N Prefer… 4.35
#> 7 2019 VIC 234 Wills 0 ABSENT 0 2 32398 BOLTON Susanne Alison VNS Victorian Socialists N Transf… 0
#> 8 2019 VIC 234 Wills 0 ABSENT 0 2 32398 BOLTON Susanne Alison VNS Victorian Socialists N Transf… 0
#> 9 2019 VIC 234 Wills 0 ABSENT 0 3 33251 KILLIN Peter John LP Liberal Party of Austr… N Prefer… 862
#> 10 2019 VIC 234 Wills 0 ABSENT 0 3 33251 KILLIN Peter John LP Liberal Party of Austr… N Prefer… 15.8
#> # … with abbreviated variable names ¹SittingMemberFl, ²CalculationType, ³CalculationValue
Similarly to the primary vote function, results can be aggregated and
filtered by polling place:
get_house_preferences("Wills",2019,
aggregation = TRUE)
#> # A tibble: 60 × 13
#> Year StateAb DivisionId DivisionNm CountNum BallotPosition CandidateId Surname GivenNm PartyAb PartyNm Calcu…¹ Calcu…²
#> <dbl> <chr> <int> <chr> <int> <int> <int> <chr> <chr> <chr> <chr> <chr> <dbl>
#> 1 2019 VIC 234 Wills 0 1 32688 MILES Christopher James AJP Animal Justice Party Prefer… 3596
#> 2 2019 VIC 234 Wills 0 1 32688 MILES Christopher James AJP Animal Justice Party Transf… 0
#> 3 2019 VIC 234 Wills 0 2 32398 BOLTON Susanne Alison VNS Victorian Socialists Prefer… 4344
#> 4 2019 VIC 234 Wills 0 2 32398 BOLTON Susanne Alison VNS Victorian Socialists Transf… 0
#> 5 2019 VIC 234 Wills 0 3 33251 KILLIN Peter John LP Liberal Party of Australia (Victorian Divis… Prefer… 17241
#> 6 2019 VIC 234 Wills 0 3 33251 KILLIN Peter John LP Liberal Party of Australia (Victorian Divis… Transf… 0
#> 7 2019 VIC 234 Wills 0 4 32657 PULFORD Adam Ross GVIC The Australian Greens - Victoria Prefer… 25575
#> 8 2019 VIC 234 Wills 0 4 32657 PULFORD Adam Ross GVIC The Australian Greens - Victoria Transf… 0
#> 9 2019 VIC 234 Wills 0 5 32329 VENKAT Manju UAPP United Australia Party Prefer… 2979
#> 10 2019 VIC 234 Wills 0 5 32329 VENKAT Manju UAPP United Australia Party Transf… 0
#> # … with 50 more rows, and abbreviated variable names ¹CalculationType, ²CalculationValue
get_house_preferences("Wills",2019, polling_places=c("ABSENT")) |>
head(10)
#> # A tibble: 10 × 16
#> Year StateAb DivisionId DivisionNm PPId PPNm CountNum BallotPosition CandidateId Surname GivenNm PartyAb PartyNm Sitti…¹ Calcu…² Calcu…³
#> <dbl> <chr> <int> <chr> <int> <chr> <int> <int> <int> <chr> <chr> <chr> <chr> <chr> <chr> <dbl>
#> 1 2019 VIC 234 Wills 0 ABSENT 0 1 32688 MILES Christopher James AJP Animal Justice Party N Prefer… 254
#> 2 2019 VIC 234 Wills 0 ABSENT 0 1 32688 MILES Christopher James AJP Animal Justice Party N Prefer… 4.65
#> 3 2019 VIC 234 Wills 0 ABSENT 0 1 32688 MILES Christopher James AJP Animal Justice Party N Transf… 0
#> 4 2019 VIC 234 Wills 0 ABSENT 0 1 32688 MILES Christopher James AJP Animal Justice Party N Transf… 0
#> 5 2019 VIC 234 Wills 0 ABSENT 0 2 32398 BOLTON Susanne Alison VNS Victorian Socialists N Prefer… 238
#> 6 2019 VIC 234 Wills 0 ABSENT 0 2 32398 BOLTON Susanne Alison VNS Victorian Socialists N Prefer… 4.35
#> 7 2019 VIC 234 Wills 0 ABSENT 0 2 32398 BOLTON Susanne Alison VNS Victorian Socialists N Transf… 0
#> 8 2019 VIC 234 Wills 0 ABSENT 0 2 32398 BOLTON Susanne Alison VNS Victorian Socialists N Transf… 0
#> 9 2019 VIC 234 Wills 0 ABSENT 0 3 33251 KILLIN Peter John LP Liberal Party of Austr… N Prefer… 862
#> 10 2019 VIC 234 Wills 0 ABSENT 0 3 33251 KILLIN Peter John LP Liberal Party of Austr… N Prefer… 15.8
#> # … with abbreviated variable names ¹SittingMemberFl, ²CalculationType, ³CalculationValue
The AEC also lists how the primary votes have flowed to the two
finalists. They can be retrieved with get_house_2PF. Being
related to the previous function, it also has the same parameters.
get_house_2PF(division="Jagajaga",year=2013,aggregation = TRUE)
#> # A tibble: 8 × 17
#> Year StateAb DivisionId DivisionNm FromCandidateId FromCandidatePartyAb FromCandidat…¹ FromC…² FromC…³ FromC…⁴ ToCan…⁵ ToCan…⁶ ToCan…⁷ ToCan…⁸ ToCan…⁹ ToCan…˟ Trans…˟
#> <dbl> <chr> <int> <chr> <int> <chr> <chr> <chr> <chr> <int> <int> <chr> <chr> <chr> <chr> <int> <int>
#> 1 2013 VIC 220 Jagajaga 28114 GRN Australian Gr… McKINN… Hugh 4 28255 ALP Austra… MACKLIN Jenny 1 12016
#> 2 2013 VIC 220 Jagajaga 28114 GRN Australian Gr… McKINN… Hugh 4 28892 LP Libera… MULHOL… David 3 1680
#> 3 2013 VIC 220 Jagajaga 28175 AJP Animal Justic… SCHRAM Nathan… 5 28255 ALP Austra… MACKLIN Jenny 1 1383
#> 4 2013 VIC 220 Jagajaga 28175 AJP Animal Justic… SCHRAM Nathan… 5 28892 LP Libera… MULHOL… David 3 852
#> 5 2013 VIC 220 Jagajaga 28255 ALP Australian La… MACKLIN Jenny 1 28255 ALP Austra… MACKLIN Jenny 1 36238
#> 6 2013 VIC 220 Jagajaga 28885 FFP Family First … WARD Jessica 2 28255 ALP Austra… MACKLIN Jenny 1 899
#> 7 2013 VIC 220 Jagajaga 28885 FFP Family First … WARD Jessica 2 28892 LP Libera… MULHOL… David 3 1442
#> 8 2013 VIC 220 Jagajaga 28892 LP Liberal Party… MULHOL… David 3 28892 LP Libera… MULHOL… David 3 37920
#> # … with abbreviated variable names ¹FromCandidatePartyNm, ²FromCandidateSurname, ³FromCandidateGivenNm, ⁴FromCandidateBallotPosition, ⁵ToCandidateId,
#> # ⁶ToCandidatePartyAb, ⁷ToCandidatePartyNm, ⁸ToCandidateSurname, ⁹ToCandidateGivenNm, ˟ToCandidateBallotPosition, ˟TransferCount
The last preference function is get_house_2PP(), which
provides the Two-Party-Preferred
summaries as recorded by the AEC (usually, Coalition vs. ALP.)
get_house_2PP(division = "Indi",
year=2016,
aggregation = TRUE)
#> # A tibble: 1 × 9
#> Year StateAb DivisionID DivisionNm `Liberal/National Coalition Votes` `Australian Labor Party Votes` TotalVotes `Liberal/National Coalition Percentage` Australian L…¹
#> <dbl> <chr> <int> <chr> <int> <int> <int> <dbl> <dbl>
#> 1 2016 VIC 218 Indi 41083 34375 75458 0.544 0.456
#> # … with abbreviated variable name ¹`Australian Labor Party Percentage`
Elected MPs
The function get_house_MPs() retrieves the list of elected
candidates. Without parameters, it returns the complete lists (all
divisions, for all elections), but similarly to the previous functions
it allows for results to be filtered by divisions and years
get_house_MPs(division = c("Melbourne","Cooper"),
year = c(2019,2022))
#> # A tibble: 4 × 9
#> Year DivisionID DivisionNm StateAb CandidateID GivenNm Surname PartyNm PartyAb
#> <dbl> <int> <chr> <chr> <int> <chr> <chr> <chr> <chr>
#> 1 2022 320 Cooper VIC 36384 Ged KEARNEY Australian Labor Party ALP
#> 2 2022 228 Melbourne VIC 36551 Adam BANDT The Greens GRN
#> 3 2019 320 Cooper VIC 32339 Ged KEARNEY Australian Labor Party ALP
#> 4 2019 228 Melbourne VIC 32423 Adam BANDT The Greens GRN
Turnout
The function get_house_turnout() retrieves turnout data as
published by the AEC. It can be filtered by division and year
get_house_turnout(year=2019)
#> # A tibble: 151 × 8
#> Year DivisionID DivisionNm StateAb Enrolment Turnout TurnoutPercentage TurnoutSwing
#> <dbl> <int> <chr> <chr> <int> <int> <dbl> <dbl>
#> 1 2019 179 Adelaide SA 121606 111299 91.5 1.73
#> 2 2019 197 Aston VIC 110342 103919 94.2 -0.69
#> 3 2019 198 Ballarat VIC 114954 107372 93.4 1.03
#> 4 2019 103 Banks NSW 106253 98845 93.0 1.04
#> 5 2019 180 Barker SA 118371 111893 94.5 0.5
#> 6 2019 104 Barton NSW 108992 99380 91.2 1.34
#> 7 2019 192 Bass TAS 76532 71973 94.0 0.19
#> 8 2019 318 Bean ACT 104482 97982 93.8 0.09
#> 9 2019 200 Bendigo VIC 112755 105979 94.0 0.51
#> 10 2019 105 Bennelong NSW 108815 101542 93.3 1.61
#> # … with 141 more rows