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
.