Data literacy with R

Unless otherwise stated all content in this workflow is COPYRIGHT © Curtin University 2024. Curtin branding and trademarks are COPYRIGHT © Curtin University.

The text, images, data, documentation and general web content presented in this Jupyter notebook, unless stated otherwise, is licensed Creative Commons Attribution-ShareAlike 4.0 International. The R code presented in this Jupyter notebook is licensed BSD-3-clause. The leaflet demonstration image is produced using the R Leaflet library, which in turn uses the Leaflet.js library and includes content from OpenStreetMap and CartoDB.

As mentioned in the text, the data used here is licenced as follow.

• The dataset for Australian Taxation Statistics 2021-2022, which is an Excel formatted xlsx file, is published under a Creative Commons Attribution 2.5 Australia licence.
• The dataset for Australian Taxation Statistics 2020-2021, which is an Excel formatted xlsx file, is published under a Creative Commons Attribution 2.5 Australia licence.
• The specific dataset from the Socio-Economic Indexes for Areas (SEIFA), which is an Excel formatted xls file, is published under a Creative Commons Licence.
• The map data for Postcodes, which is an Shapefile, is published under a Creative Commons Licence.

The various software tools used here are licenced as follows.

• Jupyter Notebook is provided under the BSD-3-Clause license
• R is provided under the GNU General Public License v2.
• RStudio is provided under the GNU Affero General Public License v3
• R libraries
  • openxlsx, readxl, curl, reshape2, ggplot2 and jsonlite are provided under the MIT licence
  • RSQLite is provided under the LGPL-2.1 and LGPL-3 licences.