Download WDI data and prepare the dataset for the plots

Source: R/quickplots.R

Download data using a memoised version of WDI::WDI() and wrangle a bit with the data to prepare a data.frame for the plots#'

download_wdi(
  indicator = "NY.GDP.PCAP.KD",
  highlight_countries = c(""),
  start = lubridate::year(Sys.Date()) - 10,
  end = lubridate::year(Sys.Date() - months(18)),
  country = "all",
  regions = default_regions(),
  income_groups = default_income_groups(),
  interpolate = FALSE
)

Arguments

indicator

character of length 1 with the indicator code

highlight_countries

character vector with country names to highlight

start

first year to download data

end

last year to download data

country

subset of countries to download data from. Default to "all". This argument is passed as is to WDI::WDI and hence, requires 'ISO-2 character codes, e.g. "BR", "US", "CA"'.

regions

character vector to filter the data only to specific regions

income_groups

character vector to filter the data only to specific income groups

interpolate

boolean to indicate whether to interpolate missing values

Value

data.frame with columns country, year, ind_1, region, income, highlight_ind_1. highlight_ind_1 = NA, except for highlight countries in which case, it takes the value of ind_1

Examples

if (FALSE) {
download_wdi("NY.GDP.PCAP.KD", c("Colombia", "Germany"), 2019, 2019)
}