In SDMX there is the concept of a "dataflow" or "metadataflow", which (as I understand it) is a way to filter the output according to some constraints. We may be able to implement something like that here.
One use-case that definitely exists is in our SDMX output. Many countries may be interested in using the SDMX output in order to submit their data to the UNSD's database. However, this is not possible if the data uses any non-global codes/dimensions. So it would be useful to have a "dataflow" which filters the output to only including global codes/dimensions.
Ideally this filtering would be applied to the data in its internal DataFrame form, so that the feature could be used regardless of whether the output is going to be SDMX, GeoJSON, etc.
In SDMX there is the concept of a "dataflow" or "metadataflow", which (as I understand it) is a way to filter the output according to some constraints. We may be able to implement something like that here.
One use-case that definitely exists is in our SDMX output. Many countries may be interested in using the SDMX output in order to submit their data to the UNSD's database. However, this is not possible if the data uses any non-global codes/dimensions. So it would be useful to have a "dataflow" which filters the output to only including global codes/dimensions.
Ideally this filtering would be applied to the data in its internal DataFrame form, so that the feature could be used regardless of whether the output is going to be SDMX, GeoJSON, etc.