## code to prepare `countries` dataset goes here
# https://gist.githubusercontent.com/marijn/396531/raw/188caa065e3cd319fed7913ee3eecf5eec541918/countries.txt
missing_countries <- tibble::tribble(
~country, "Vietnam", "Laos", "Iran", "Oman, Sultanate Of",
"South Korea", "North Korea", "Taiwan", "Kazakhstan",
"Syria", "Palestine", "Libya", "Tanzania"
) %>%
dplyr::mutate(country = stringr::str_to_lower(country))
countries <- readr::read_delim("data-raw/countries.txt", "|",
escape_double = FALSE,
col_names = FALSE, trim_ws = TRUE) %>%
dplyr::rename(code = X1, country = X2) %>%
dplyr::select(country) %>%
dplyr::mutate(country = stringr::str_to_lower(country)) %>%
dplyr::bind_rows(missing_countries)
usethis::use_data(countries, overwrite = TRUE, internal = TRUE)
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