Reading datasets downloaded from the eurostat website databrowser might enhance the package nicely as it might sometimes be more user friendly to view and filter data in the browser and perform the analyses in R.
Example dataset: https://ec.europa.eu/eurostat/databrowser/view/ttr00011/default/table?lang=en&category=t_avia
File formats available from data browser download:
- Spreadsheet (.xlsx)
- Tab separated values (.tsv)
- SDMX-CSV 1.0 (.csv)
- SDMX-CSV 2.0 (.csv)
- SDMX-ML 2.1 StructureSpecific (.xml)
- SDMX-ML 2.1 Generic (.xml)
- SDMX-ML 3.0 (.xml)
- JSON-stat (.json)
Of these, all but Spreadsheet has a connection to the API ("Copy API link") so it may be as simple as implementing the correct function to the correct file type. Implementing support for Spreadsheet type might be unnecessary difficult as it might have pagination (Data scope - Displayed dimensions (Page by)) if "Consolidate all data sheets in a single one" is not selected - and controlling for all these combinations might be too much.
Reading datasets downloaded from the eurostat website databrowser might enhance the package nicely as it might sometimes be more user friendly to view and filter data in the browser and perform the analyses in R.
Example dataset: https://ec.europa.eu/eurostat/databrowser/view/ttr00011/default/table?lang=en&category=t_avia
File formats available from data browser download:
Of these, all but Spreadsheet has a connection to the API ("Copy API link") so it may be as simple as implementing the correct function to the correct file type. Implementing support for Spreadsheet type might be unnecessary difficult as it might have pagination (Data scope - Displayed dimensions (Page by)) if "Consolidate all data sheets in a single one" is not selected - and controlling for all these combinations might be too much.