country_codes is a new data frame that contains ISO 3166-1 country codes (#16 @jrebane).
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
tbl_dfclass to the
gapminderdata frame, which is advantageous for users of the
populationvariable from numeric to integer. Affected India (all years) and China (1952).
gapminder_unfiltereddata frame. It’s the data frame
gapmindercame from, but is less heavily filtered (previously available only in