This PR adds the dataset school_terms. The source data comes via direct correspondance with the ABS, who manually collect it from the states and territories. The ABS are happy for it to be made public (as it is already public data), and thanks to @wfmackey for facilitating the data provision.
The source data (about 50 xlsx files) are included in the PR for auditability. The tidied dataset makes minimal changes to the source data when converting to a dataframe, however incorrect dates are replaced with NA (eg Tas 1998 term 4). The final dataset looks like:
The PR also fixes a few typos, a build error, and VS code has stripped some whitespace. The version number is updated according to semver.
This PR adds the dataset
school_terms
. The source data comes via direct correspondance with the ABS, who manually collect it from the states and territories. The ABS are happy for it to be made public (as it is already public data), and thanks to @wfmackey for facilitating the data provision.The source data (about 50 xlsx files) are included in the PR for auditability. The tidied dataset makes minimal changes to the source data when converting to a dataframe, however incorrect dates are replaced with NA (eg Tas 1998 term 4). The final dataset looks like:![image](https://github.com/runapp-aus/strayr/assets/14969998/3c161944-47c5-4e9a-94b8-7d6953cade7d)
The PR also fixes a few typos, a build error, and VS code has stripped some whitespace. The version number is updated according to semver.