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library(tidyverse) | |
# download and read Party Facts mapping table | |
file_name <- "partyfacts-mapping.csv" | |
if( ! file_name %in% list.files()) { | |
url <- "https://partyfacts.herokuapp.com/download/external-parties-csv/" | |
download.file(url, file_name) | |
} | |
partyfacts_raw <- read_csv(file_name, guess_max = 50000) | |
partyfacts <- | |
partyfacts_raw %>% | |
filter(! is.na(partyfacts_id)) %>% | |
select(country:name_english, partyfacts_id) | |
# link datasets (select only linked parties) | |
dataset_1 <- partyfacts %>% filter(dataset_key == "ppepe") | |
dataset_2 <- partyfacts %>% filter(dataset_key == "ches") | |
dataset_3 <- partyfacts %>% filter(dataset_key == "parlgov") | |
dataset_4 <- partyfacts %>% filter(dataset_key == "manifesto") | |
# Note: ParlGov import into Party Facts includes only parties with < 1% share in national parliament election | |
link_table <- | |
dataset_1 %>% | |
left_join(dataset_2, by = c("country" = "country", "partyfacts_id" = "partyfacts_id")) %>% | |
left_join(dataset_3, by = c("country" = "country", "partyfacts_id" = "partyfacts_id")) %>% | |
left_join(dataset_4, by = c("country" = "country", "partyfacts_id" = "partyfacts_id")) %>% | |
rename_with(~ str_replace(.x, fixed(".y.y"), "_manifesto")) %>% | |
rename_with(~ str_replace(.x, fixed(".x.x"), "_parlgov")) %>% | |
rename_with(~ str_replace(.x, fixed(".y"), "_ches")) %>% | |
rename_with(~ str_replace(.x, fixed(".x"), "_ppepe")) | |
# write results into file with dataset names in file name | |
file_out <- "partyfacts-linked.csv" | |
write_csv(link_table, file_out) |
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