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10_iso-codes.md

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10_iso-codes.R

jenny 2019-03-06

library(countrycode)
library(here)
## here() starts at /Users/jenny/rrr/gapminder

library(gapminder)
library(tidyverse)
## ── Attaching packages ────────────────────────────────────────── tidyverse 1.2.1 ──

## ✔ ggplot2 3.1.0          ✔ purrr   0.3.0     
## ✔ tibble  2.0.1.9001     ✔ dplyr   0.8.0.9000
## ✔ tidyr   0.8.3.9000     ✔ stringr 1.4.0     
## ✔ readr   1.3.1          ✔ forcats 0.4.0

## ── Conflicts ───────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag()    masks stats::lag()

conflicted::conflict_prefer("filter", "dplyr")
## [conflicted] Will prefer dplyr::filter over any other package

packageVersion("countrycode")
## [1] '1.1.0'

country_codes <- tibble(
  country = levels(gapminder_unfiltered$country)
)
country_codes <- country_codes %>% 
  mutate(iso_alpha = countrycode(country, "country.name", "iso3c"),
         iso_num = countrycode(country, "country.name", "iso3n"))
## Warning in countrycode(country, "country.name", "iso3c"): Some values were not matched unambiguously: Netherlands Antilles

## Warning in countrycode(country, "country.name", "iso3n"): Some values were not matched unambiguously: Netherlands Antilles

country_codes %>% 
  filter(is.na(iso_alpha) | is.na(iso_num))
## # A tibble: 1 x 3
##   country              iso_alpha iso_num
##   <chr>                <chr>       <int>
## 1 Netherlands Antilles <NA>           NA

## Netherlands Antilles is no longer a country and, apparently, countrycode
## v1.0.0 now reflects that
## Add it back to reflect reality during the years spanned by gapminder
netherlands_antilles <- country_codes$country == "Netherlands Antilles"
country_codes$iso_alpha[netherlands_antilles] <- "ANT"
country_codes$iso_num[netherlands_antilles] <- 530L

## Sudan's numeric country code changed when South Sudan split off in 2011
## apparently, countrycode v1.0.0 now reflects that
## Add it back to reflect reality during the years spanned by gapminder
sudan <- country_codes$country == "Sudan"
country_codes$iso_num[sudan] <- 736L

## manually correct codes for North Korea (Korea, Dem. Rep.)
north_korea <- country_codes$country == "Korea, Dem. Rep."
country_codes$iso_alpha[north_korea] <- "PRK"
country_codes$iso_num[north_korea] <- 408L

save(
  country_codes,
  file = here("data", "country_codes.rdata")
)
write_tsv(
  country_codes,
  path = here("data-raw", "10_iso-codes.tsv")
)
file.copy(
  from = here("data-raw", "10_iso-codes.tsv"),
  to = here("inst", "extdata", "country-codes.tsv"),
  overwrite = TRUE
)
## [1] TRUE