Usa Election
usa_election.Rd2008 and 2016 Usa presidential election
Usage
data("usa_election")Format
A data frame with 51 observations on the following 19 variables.
state_ida character vector
electoral_votes_obamaa numeric vector
electoral_votes_mccaina numeric vector
votes_obamaa numeric vector
votes_mccaina numeric vector
votes_others_08a numeric vector
total_votes_08a numeric vector
electoral_votes_trumpa numeric vector
electoral_votes_clintona numeric vector
votes_trumpa numeric vector
votes_clintona numeric vector
votes_others_16a numeric vector
total_votes_16a numeric vector
total_popolation_08a numeric vector
total_citizen_08a numeric vector
total_registered_08a numeric vector
total_popolation_16a numeric vector
total_citizen_16a numeric vector
total_registered_16a numeric vector
Source
https://www.census.gov/topics/public-sector/voting/data.html https://www.fec.gov/introduction-campaign-finance/election-and-voting-information/
Examples
data(usa_election)
str(usa_election)
#> 'data.frame': 51 obs. of 19 variables:
#> $ state_id : chr "AL" "AK" "AZ" "AR" ...
#> $ electoral_votes_obama : num 0 0 0 0 55 9 7 3 3 27 ...
#> $ electoral_votes_mccain : num 9 3 10 6 0 0 0 0 0 0 ...
#> $ votes_obama : num 813479 123594 1034707 422310 8274473 ...
#> $ votes_mccain : num 1266546 193841 1230111 638017 5011781 ...
#> $ votes_others_08 : num 19794 8762 28657 26290 275646 ...
#> $ total_votes_08 : num 2099819 326197 2293475 1086617 13561900 ...
#> $ electoral_votes_trump : num 9 3 11 6 0 0 0 0 0 29 ...
#> $ electoral_votes_clinton: num 0 0 0 0 55 9 7 3 3 0 ...
#> $ votes_trump : num 1318255 163387 1252401 684872 4483814 ...
#> $ votes_clinton : num 729547 116454 1161167 380494 8753792 ...
#> $ votes_others_16 : num 75570 38767 159597 65310 943998 ...
#> $ total_votes_16 : num 2123372 318608 2573165 1130676 14181604 ...
#> $ total_popolation_08 : num 3497000 488000 4688000 2108000 26993000 ...
#> $ total_citizen_08 : num 3404000 468000 4169000 2030000 21816000 ...
#> $ total_registered_08 : num 2438000 345000 2874000 1317000 14885000 ...
#> $ total_popolation_16 : num 3717000 518000 5196000 2216000 29894000 ...
#> $ total_citizen_16 : num 3651000 502000 4585000 2116000 24890000 ...
#> $ total_registered_16 : num 2526000 358000 3145000 1456000 16096000 ...