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The 3-letter and numeric country codes for “Korea, Dem. Rep.” (Democratic People’s Republic of Korea, a.k.a. North Korea) have been corrected to “PRK” (was “KOR”) and 408 (was 410). Previously, this country was erroneously getting the codes for “Korea, Rep.” (Republic of Korea, a.k.a. South Korea).
The release of version 1.0.0 formalizes the fact that this data package is unlikely to see much (or any) change in the future.
country_codes is a new data frame that contains ISO
3166-1 country codes (#16 @jrebane).
Import tibble::tibble(), so tibble printing is used
out of the box.
Moved delimited files for practicing data import into
inst/extdata/. Therefore, these are now accessible after
installation at, e.g.,
system.file("extdata", "gapminder.tsv", package = "gapminder").
Clarify that this package is not maintained as a definitive data source, rather it’s for making code examples and teaching. Stability is now very important.
Improved citability, e.g. added the “concept” DOI that links to a
list of all version to DESCRIPTION and README. README also shows the use
of citation().
tbl_df class to the gapminder
data frame, which is advantageous for users of the dplyr
package.population variable from
numeric to integer. Affected India (all years) and China (1952).inst/gapminder-unfiltered.tsv.gapminder_unfiltered data frame. It’s the
data frame gapminder came from, but is less heavily
filtered (previously available only in
inst/gapminder-unfiltered.tsv).inst/continent-colors.tsv and
inst/country-colors.tsv.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.