library(tidyverse)
library(readxl)
library(countrycode)
library(fs)
wic_locations <- dir_ls("./data-raw", type = "directory") %>%
as_tibble() %>%
mutate(d = map(.x = value, .f = ~read_excel(paste0(.x, "/geography.xlsx"))),
version = str_sub(string = value, start = 12)) %>%
select(-value) %>%
unnest(d) %>%
select(-ggarea, -is185, -edu8, -is171) %>%
# mutate(alpha3 = countrycode(sourcevar = isono,
# origin = "iso3n",
# dest = "iso3c")) %>%
arrange(desc(version), dim) %>%
relocate(name, isono, continent, region) %>%
mutate(value = TRUE) %>%
pivot_wider(names_from = "version") %>%
replace_na(list("wcde-v1" = FALSE, "wcde-v2" = FALSE, "wcde-v3" = FALSE))
usethis::use_data(wic_locations, overwrite = TRUE)
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