Fetch election results in tidy format

Fetches election results in the format that you probably want for plotting. For more complex operations, use joins of results, ridings, and/or boundaries. Note that in elections before 1968 there was more than one MP elected from several ridings.

election_results(
  years = election_years(),
  provinces = election_provinces(),
  results = c("Elected", "Defeated")
)

Arguments

years	One or more election_years() to include in the data
provinces	One or more election_provinces() (or terretories) include in the data. The order of provinces is kept in the data by making the province variable a factor.
results	One or both of "Elected" and/or "Defeated" to include in the data

Value

A tibble::tibble() of a join between results and ridings.

Examples

election_results(
  years = 2015:2019,
  provinces = c("Nova Scotia", "New Brunswick")
)
#> # A tibble: 225 x 11
#>    election_date riding name  party votes result person_id province riding_label
#>    <date>        <chr>  <chr> <chr> <dbl> <chr>      <dbl> <fct>    <chr>       
#>  1 2015-10-19    NB/19… Serg… Libe… 25845 Elect…     18458 New Bru… Acadie--Bat…
#>  2 2015-10-19    NB/19… Jaso… New … 20079 Defea…        NA New Bru… Acadie--Bat…
#>  3 2015-10-19    NB/19… Riba… Cons…  3852 Defea…        NA New Bru… Acadie--Bat…
#>  4 2015-10-19    NB/19… Domi… Gree…  1187 Defea…        NA New Bru… Acadie--Bat…
#>  5 2015-10-19    NB/19… Matt… Libe… 23016 Elect…     18459 New Bru… Fredericton 
#>  6 2015-10-19    NB/19… Keit… Cons… 13280 Defea…     17264 New Bru… Fredericton 
#>  7 2015-10-19    NB/19… Mary… Gree…  5804 Defea…        NA New Bru… Fredericton 
#>  8 2015-10-19    NB/19… Shar… New …  4622 Defea…        NA New Bru… Fredericton 
#>  9 2015-10-19    NB/19… René… Libe… 20778 Elect…     18461 New Bru… Madawaska--…
#> 10 2015-10-19    NB/19… Rosa… New …  9670 Defea…        NA New Bru… Madawaska--…
#> # … with 215 more rows, and 2 more variables: riding_id <dbl>,
#> #   election_year <dbl>