The goal of wbdata is to ...
You can install the released version (not yet) of wbdata from CRAN with:
install.packages("wbdata")This is a basic example which shows you how to solve a common problem:
library(wbdata)
cn <- get_countries()
cn
#> # A tibble: 304 x 18
#> iso3c iso2c country capital_city longitude latitude region_iso3c
#> * <chr> <chr> <chr> <chr> <dbl> <dbl> <chr>
#> 1 ABW AW Aruba Oranjestad -70.0 12.5 LCN
#> 2 AFG AF Afghanistan Kabul 69.2 34.5 SAS
#> 3 AFR A9 Africa <NA> NA NA <NA>
#> 4 AGO AO Angola Luanda 13.2 - 8.81 SSF
#> 5 ALB AL Albania Tirane 19.8 41.3 ECS
#> 6 AND AD Andorra Andorra la V~ 1.52 42.5 ECS
#> 7 ANR L5 Andean Region <NA> NA NA <NA>
#> 8 ARB 1A Arab World <NA> NA NA <NA>
#> 9 ARE AE United Arab ~ Abu Dhabi 54.4 24.5 MEA
#> 10 ARG AR Argentina Buenos Aires -58.4 -34.6 LCN
#> # ... with 294 more rows, and 11 more variables: region_iso2c <chr>,
#> # region <chr>, admin_region_iso3c <chr>, admin_region_iso2c <chr>,
#> # admin_region <chr>, income_level_iso3c <chr>,
#> # income_level_iso2c <chr>, income_level <chr>,
#> # lending_type_iso3c <chr>, lending_type_iso2c <chr>, lending_type <chr>