Countrycode in r
WebApr 13, 2024 · countrycode: Convert Country Names and Country Codes Standardize country names, convert them into one of 40 different coding schemes, convert between coding schemes, and assign region descriptors. WebMay 5, 2024 · countrycode: Convert Country Names and Country Codes. Standardize country names, convert them into one of 40 different coding schemes, convert between coding schemes, and assign region descriptors.
Countrycode in r
Did you know?
WebMay 5, 2024 · country.name.de: country name (German) country.name.fr: country name (French) country.name.it: country name (Italian) cowc: Correlates of War character. … WebJul 7, 2024 · countrycode in R - NA's returned when detecting country name in df. 2. Is there a package/function in R that will identify country/continent? 0. Library (Lubridate) Hot Network Questions Did Jesus commit the HOLY spirit …
WebFeb 6, 2024 · Matching ISO2C country codes with country names in R with countrycode. I am a complete beginner in R, working on my first dataset. In this dataset, I have a column with country codes (the column name is "country") and I would like to transform the codes into full country names. WebThe countrycode function can convert to and from 40+ different country coding schemes, and to 600+ variants of country names in different languages and formats. It uses regular expressions to convert long …
WebOct 8, 2024 · Part of R Language Collective Collective 0 I have a dataset that looks like below (figure1): Now I want to add a new colunm named "team_diversity" which is to show how many different countries within a team. so the new dataframe should look like below (figure2): note: I don't want to count if the country column contains NAs. e.g., if one team ... WebFeb 8, 2024 · 1 Answer. I have found readxl package to be more friendly when importing .xlsx files or .xls files. Assuming each of the .xls file contains just one sheet to be imported the below code should work for you. library (googledrive) drive_find (n_max = 50) library (readxl) inputfiles <- list.files (pattern = "*PDOL_dataexport") df.list<-lapply ...
WebFeb 23, 2024 · countrycode(c('Algerien', 'Albanien'), origin = 'country.name.de', destination = 'un.name.ar') [1] "الجزائر" "ألبانيا" Generate Country Codes in R
WebPackage ‘countrycode’ October 12, 2024 Type Package Title Convert Country Names and Country Codes Version 1.4.0 Description Standardize country names, convert them into … residence websiteWebJul 10, 2024 · df <- structure (list (Country = structure (c (3L, 3L, 1L, 6L, 2L, 5L, 4L), .Label = c ("Belgium", "Croatia", "France", "Japan", "Mexico", "UK"), class = "factor"), Random_col = c (100, 111, 200, 300, 400, 500, 600)), .Names = c ("Country", "Random_col"), row.names = c (NA, -7L), class = "data.frame") Country Random_col 1 France 100 2 France 111 … protective covers for magazinesWebJun 3, 2024 · Then use the countrycode () function. First type in the brackets the name of the original variable that contains the list of countries in the dataset. Then finally add "country.name", "cown". This turns the word name for each country into the numeric COW code. dataset$COWcode <- countrycode (dataset$countryname, "country.name", "cown") protective covers for mini split outdoor unitWebOct 25, 2024 · Example code I'm using: country <- data.frame (country = c ("Chile", "Argentina", "Poland")) country %>% mutate (continent = countrycode (sourcevar = … residence welloveWeb4 rows · CRAN - Package countrycode. Standardize country names, convert them into one of 40 different ... protective covers for motorola cell phonesWebOct 25, 2024 · country <- data.frame (country = c ("Chile", "Argentina", "Poland")) country %>% mutate (continent = countrycode (sourcevar = 'country', origin = 'country.name', destination = 'region')) I apologize if this is repeated but I'm not sure what I'm doing wrong here. r country-codes Share Follow asked Oct 25, 2024 at 14:56 mbeasle2 153 10 residence watamuWebJan 24, 2024 · Add a comment 1 Answer Sorted by: 1 You need to merge your data and codelist_panel. Input data - I changed the column name of the country column so we can specify it together with the year column in the by argument below. dat <- data.frame (country.name.en = country, year, a) Result residence welfare association