The strayr package provides tools to make working with Australian data
easier. This includes:
-
tidy versions of common structures used by the Australian Bureau of Statistics (ABS), like ANZSIC and ANZSCO:
-
a function to tidy up state names (
clean_states()); and -
a function that knows whether particular dates are public holidays (
is_holiday()).
This package is currently in development and subject to change. The
lifecycle badge will be changed to stable when it is stable (should be
relatively soon).
Contribute to this package: people are actively encouraged to contribute to this package.
You can install the current version of strayr with:
remotes::install_github("runapp-aus/strayr")Current structures stored in strayr are:
anzsco2009: occupation levels of the Australian and New Zealand Standard Classification of Occupations (ANZSCO), First Edition, Revision 1, 2009. Cat. 1220.0.anzsic2006: industry levels of the Australian and New Zealand Standard Industrial Classification (ANZSIC), 2006 (Revision 1.0). Cat. 1292.0.asced_foe2001: field of education levels of the Australian Standard Classification of Education (ASCED), 2001. Cat. 1272.0.asced_qual2001: qualification levels of the Australian Standard Classification of Education (ASCED), 2001. Cat. 1272.0.
The clean_state() function makes it easy to wrangle vectors of State
names and abbreviations - which might be in different forms and possibly
misspelled.
This package includes the auholidays dataset from the Australian
Public Holidays Dates Machine Readable
Dataset
as well as a helper function is_holiday.
The parse_income_range function provides some tools for extracting
numbers from income ranges commonly used in Australian data. For
example:
parse_income_range("$1-$199 ($1-$10,399)", limit = "lower")
#> [1] 1The strayr package also loads provides tools to access sf objects
contained in absmapsdata.
See ?strayr::read_absmaps.
read_absmaps("sa42021", strip_year_suffix = TRUE)