Closed mcooper closed 4 years ago
This is cool, thanks! The build failed, but it looks like it was for a completely unrelated reason...
Error: package ‘R6’ was installed before R 4.0.0: please re-install it
In case anyone wonders, there is some significant difference between this and iso2c...
library(jsonlite)
library(dplyr)
library(countrycode)
url <- 'https://api.dhsprogram.com/rest/dhs/countries?select=DHS_CountryCode,CountryName&f=json'
fromJSON(url)[['Data']] %>%
dplyr::select(CountryName, DHS_CountryCode) %>%
mutate(iso2c = countrycode(CountryName, 'country.name', 'iso2c')) %>%
filter(DHS_CountryCode != iso2c)
#> CountryName DHS_CountryCode iso2c
#> 1 Botswana BT BW
#> 2 Burundi BU BI
#> 3 Dominican Republic DR DO
#> 4 El Salvador ES SV
#> 5 Equatorial Guinea EK GQ
#> 6 Guatemala GU GT
#> 7 India IA IN
#> 8 Kazakhstan KK KZ
#> 9 Kyrgyz Republic KY KG
#> 10 Liberia LB LR
#> 11 Madagascar MD MG
#> 12 Moldova MB MD
#> 13 Namibia NM NA
#> 14 Nicaragua NC NI
#> 15 Niger NI NE
#> 16 Nigeria (Ondo State) OS NG
Just FYI after seeing @cjyetman print the first 16 lines, I realized there is a duplicate in there. There was one instance of a survey conducted in Ondo state Nigeria, so that survey had its own code. I filtered out that one, and checked that all the rest are at the country level and there are no duplicates.
Thanks a lot @mcooper !
I merged the script and rebuilt the dictionary. If you could please try the Github Master version, I could then upload to CRAN:
remotes::install_github('vincentarelbundock/countrycode')
library(countrycode)
countrycode(c('Afghanistan', 'Namibia', 'Liberia'), 'country.name', 'dhs')
Thanks @cjyetman for comparing the two sets. Very useful!
Just tried it locally on a project I'm in the middle of, it works great. Thanks for updating the package so quickly!
Mat
On Thu, May 7, 2020 at 1:53 PM Vincent Arel-Bundock < notifications@github.com> wrote:
Thanks @cjyetman https://github.com/cjyetman for comparing the two sets. Very useful!
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This is much easier when people submit actual working code ;)
Hello,
Thanks for this fantastic package, I use it all the time.
One data source I frequently work with are the Demographic and Health Surveys, and they have their own unique country code format. It would be great to add their schema to the package.
Thanks!!