This package is a wrapper around the VoteSmart API written by your friendly neighborhood progressive tech organization, 🌟 Deck Technologies 🌟. Feel free to use this package in any way you like.
VoteSmart provides information on US political candidates’ positions on issues, votes on bills, and ratings by third party organizations, among other data.
You’ll need a VoteSmart API key in order to use this package. You can register for one here.
Store your key in an environment variable named VOTESMART_API_KEY
with
Sys.setenv(VOTESMART_API_KEY = "<your_key>")
You can check that it’s there with
Sys.getenv("VOTESMART_API_KEY")
This key is never stored in your R session’s global environment.
VoteSmart collects ratings on various issues that Special Interest Groups (SIGs) give to political candidates.
Let’s say we want to know how Elizabeth Warren tends to be rated on a few issues.
We’ll first want to know what her VoteSmart candidate_id
is. We can search for her using candidates_get_by_lastname
:
warrens <-
candidates_get_by_lastname(
"warren",
election_years = 2012
)
#> Requesting data for {last_name: warren, election_year: 2012, stage_id: }.
knitr::kable(warrens)
candidate_id | first_name | nick_name | middle_name | last_name | suffix | title | ballot_name | stage_id | election_year | preferred_name | election_parties | election_status | election_stage | election_district_id | election_district_name | election_office | election_office_id | election_state_id | election_office_type_id | election_special | election_date | office_parties | office_status | office_district_id | office_district_name | office_state_id | office_id | office_name | office_type_id | running_mate_id | running_mate_name |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
139104 | Adam | NA | Lee | Warren | NA | NA | Adam Lee Warren | 2012 | Adam | Republican | Lost | Primary | NA | NA | Attorney General | 12 | MO | S | FALSE | 08/07/2012 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | |
103860 | Dennis | NA | NA | Warren | NA | NA | Dennis C. Warren | 2012 | Dennis | Republican | Withdrawn | General | 28446 | 16 | State Senate | 9 | ID | L | FALSE | 11/06/2012 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | |
141272 | Elizabeth | NA | Ann | Warren | NA | Senator | Elizabeth A. Warren | 2012 | Elizabeth | Democratic | Won | General | NA | NA | U.S. Senate | 6 | MA | C | FALSE | 11/06/2012 | Democratic | active | 20512 | Sr | MA | 6 | U.S. Senate | C | NA | NA | |
117839 | Harry | NA | Joseph | Warren | NA | Representative | Harry Warren | 2012 | Harry | Republican | Won | General | 25520 | 77 | State House | 8 | NC | L | FALSE | 11/06/2012 | Republican | active | 25519 | 76 | NC | 8 | State House | L | NA | NA | |
138202 | Pete | NA | NA | Warren | NA | NA | Pete Warren | 2012 | Pete | Republican | Removed | Primary | 21842 | 30 | State House | 8 | FL | L | FALSE | 08/14/2012 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | |
137066 | Stephen | NA | NA | Warren | NA | NA | Stephen Warren | 2012 | Stephen | Republican | Lost | Primary | 27865 | 22B | State House | 8 | ID | L | FALSE | 05/15/2012 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | |
135832 | Tom | NA | NA | Warren | NA | NA | Tom Warren | 2012 | Tom | Democratic | Lost | General | 25782 | 76 | State House | 8 | OH | L | FALSE | 11/06/2012 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | |
139311 | Wesley | NA | G. | Warren | NA | NA | Wesley G. Warren | 2012 | Wesley | Republican | Lost | General | 21874 | 62 | State House | 8 | FL | L | FALSE | 11/06/2012 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
Filtering to her first name and taking her candidate_id
, we can now grab Warren’s ratings by all SIGs with rating_get_candidate_ratings
.
(id <-
warrens %>%
filter(first_name == "Elizabeth") %>%
pull(candidate_id)
)
#> [1] "141272"
ratings <-
rating_get_candidate_ratings(
candidate_ids = id,
)
#> Requesting data for {candidate_id: 141272, sig_id: }.
knitr::kable(ratings %>% sample_n(3))
rating_id | candidate_id | sig_id | rating | rating_name | timespan | rating_text | category_id_1 | category_name_1 | category_id_2 | category_name_2 | category_id_3 | category_name_3 | category_id_4 | category_name_4 | category_id_5 | category_name_5 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
10991 | 141272 | 2859 | 89 | Positions on Endangered Species Act | 2018 | Senator Elizabeth Warren supported the interests of the Center For Biological Diversity Action Fund 89 percent in 2018. | 5 | Animals and Wildlife | 30 | Environment | NA | NA | NA | NA | NA | NA |
10580 | 141272 | 2562 | 75 | Positions | 2017-2018 | Senator Elizabeth Warren supported the interests of the Outdoor Industry Association Political Action Committee 75 percent in 2017-2018. | 7 | Arts, Entertainment, and History | 30 | Environment | NA | NA | NA | NA | NA | NA |
7154 | 141272 | 134 | 0 | Positions | 2013 | Senator Elizabeth Warren supported the interests of the Concerned Women for America 0 percent in 2013. | 17 | Conservative | 107 | Religion | 109 | Socially Conservative | 68 | Women | NA | NA |
And compute on them:
ratings %>%
filter(
category_name_1 %in%
c("Environment",
"Fiscally Conservative",
"Education",
"Civil Liberties and Civil Rights",
"Campaign Finance")
) %>%
group_by(category_name_1) %>%
summarise(
avg_rating = mean(as.numeric(rating), na.rm = TRUE)
) %>%
arrange(category_name_1)
#> `summarise()` ungrouping output (override with `.groups` argument)
#> # A tibble: 5 x 2
#> category_name_1 avg_rating
#> <chr> <dbl>
#> 1 Campaign Finance 100
#> 2 Civil Liberties and Civil Rights 84.9
#> 3 Education 91.2
#> 4 Environment 90.8
#> 5 Fiscally Conservative 9.58
For more in-depth examples of how these all fit together, check out the vignette with:
vignette("votesmart")
These functions are named after the snake_case
d version of the API endpoints.
If you see an endpoint you want to be made available in this package that isn’t yet, feel free to submit an issue or a pull request!
candidates_get_by_lastname
Get a dataframe of candidates given a vector of last_name
s, election_year
s (optional, defaulting to current year), and stage_id
s (optional)
candidates_get_by_levenshtein
Get a dataframe of fuzzy-matched candidates given a vector of last_name
s, election_year
s (optional), and stage_id
s (optional)
candidates_get_by_office_state
Get a dataframe of candidates by the state in which they ran for office given a vector of state_id
s (optional), office_id
s, and election_year
s (optional)
election_get_election_by_year_state
Get a dataframe of election ids and their attributes given a vector of year
s and state_id
s (optional)
measure_get_measures
Get a dataframe of ballot measure attributes given a measure_id
measure_get_measures_by_year_state
Get a dataframe of ballot measure ids and their attributes given a vector of year
s and state_id
s (optional)
office_get_levels
Get the VoteSmart office_level_id
s and their associated names (federal, state, local)
office_get_offices_by_level
Get office_id
s and their associated names (e.g. "President"
) for a given office_level_id
rating_get_candidate_ratings
Get SIG (Special Interest Group) ratings for candidates given a candidate_id
and a sig_id
(optional)
rating_get_categories
Get rating category_id
s and their associated name
s (e.g. "Abortion"
, "Environment"
) given a vector of state_id
s (optional)
rating_get_sig
Get information about a vector of SIGs (Special Interest Groups) given a sig_id
rating_get_sig_list
Get a dataframe of SIG (Special Interest Group) given a rating category_id
and a state_id
(optional)
votes_get_by_official
Get a dataframe of the way officials have voted on bills given a candidate_id
, an office_id
(optional), a category_id
(optional) and a year
the vote occurred (optional)
Only a subset of all of the VoteSmart endpoints have yet been made available through this package.
You can see a full dataframe of the VoteSmart endpoints and their associated arguments with
data("endpoint_input_mapping")
or
data("endpoint_input_mapping_nested")
This package currently contains no rate limiting infrastructure as there is very little information about what rate limits VoteSmart imposes, if any
The VoteSmart API does not allow for bulk requests, i.e. a single request can only contain one value for each parameter
Feel free to reach out in the Issues with any bugs or feature requests! 💫