0.9.1: JHU and Google support
This release adds support for data sets from John Hopkins University and the Google open data project. Both of these sources aggregate a range of data at national and subnational levels. It also contains a range of small fixes and improvements to documentation. Finally, this release adds optional data processing which will be extended in future releases (contributions warmly welcomed).
Thanks to @joseph-palmer, @RichardMN, and @kathsherratt for contributions towards this release.
New features
- Support for data provided by John Hopkins University (by @joseph-palmer).
- Support for data provided by Google COVID-19 open data project (by @joseph-palmer).
- Added a
available_regions
method for all classes that shows level 1 regions with data available for the region of interest. This is of particular use when combined with the JHU or Google datasets where processing a large number of regions that are not required can take some time. - Adds support for JHU or Google data to
get_national_data()
. This may also now be used to access lower level data from these sources but it may be better to instead use the classes directly or viainitialise_dataclass()
.
Other changes
- The optional downloading of NHS region data in the
UK()
has been improved to include both the dynamic data previously supported and the archive document now produced (by @kathsherratt). - The examples for the
UK()
class have been expanded to better showcase the package functionality. - The documentation and examples for
get_regional_data()
,get_national_data()
, andget_available_datasets()
has been expanded with a focus on increasing the visibility of the underlying package structure. - The documentation and examples for
initialise_dataclass()
,DataClass()
, andCountryDataClass()
has been expanded and improved. - Improvements to the linking of documentation for related functions and classes.
- Improvements to the documentation for contributors (by @RichardMN).
- Improvements to the
pkgdown
documentation to organise packages into appropriate subcategories.