strayr

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());

• a function that knows whether particular dates are public holidays (is_holiday()); and

• a table containing the start and end dates of school terms in each state and territory, back to 1978 (school_terms).

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.

Installation

You can install the current version of strayr with:

remotes::install_github("runapp-aus/strayr")

Structures

Current structures stored in strayr are:

• Australian and New Zealand Standard Classification of Occupations (ANZSCO), Cat. 1220.0:
  • anzsco2022: occupation levels of ANZSCO, 2022.
  • anzsco2021: occupation levels of ANZSCO, 2021.
  • anzsco2019: occupation levels of ANZSCO, 2013, Version 1.3.
  • anzsco2013: occupation levels of ANZSCO, 2013, Version 1.2.
  • anzsco2009: occupation levels ANZSCO, First Edition, Revision 1, 2009.
• Australian and New Zealand Standard Industrial Classification (ANZSIC), Cat. 1292.0:
  • anzsic2006: industry levels of ANZSIC, 2006 (Revision 2.0).
• Australian Standard Classification of Education (ASCED), Cat. 1272.0:
  • asced_foe2001: field of education levels of ASCED, 2001.
  • asced_qual2001: qualification levels of ASCED, 2001.

Converting state names and abbreviations

The clean_state() function makes it easy to wrangle vectors of State names and abbreviations - which might be in different forms and possibly misspelled.

Australian public holidays

This package includes the auholidays dataset from the Australian Public Holidays Dates Machine Readable Dataset as well as a helper function is_holiday.

Australian school terms

This package includes a dataset with the start and end dates of school terms in each Australian state and territory from 1978 to 2024:

school_terms
#> # A tibble: 1,504 × 5
#>    state  year  term start      end       
#>    <chr> <int> <int> <date>     <date>    
#>  1 NSW    1978     1 1978-02-01 1978-05-05
#>  2 Vic    1978     1 1978-02-06 1978-05-12
#>  3 Qld    1978     1 1978-01-23 1978-04-28
#>  4 SA     1978     1 1978-02-06 1978-05-12
#>  5 WA     1978     1 1978-02-06 1978-05-12
#>  6 Tas    1978     1 1978-02-21 1978-05-26
#>  7 NT     1978     1 1978-02-06 1978-05-12
#>  8 ACT    1978     1 1978-02-01 1978-05-05
#>  9 NSW    1978     2 1978-05-22 1978-08-25
#> 10 Vic    1978     2 1978-05-29 1978-08-25
#> # ℹ 1,494 more rows

Parsing income ranges

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] 1

Accessing ABS mapping structures

The strayr package also provides tools to access sf objects contained in absmapsdata. See ?strayr::read_absmap for more information.

read_absmap("sa42021")