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the idea is that we can define a calculation without tying it to a dataset so that we can use it to create actual calculations (i.e. tied to a dataset). these can be applied one after another (in sets, even) so that you can apply the same calculations to different datasets
note: may need a better name
The text was updated successfully, but these errors were encountered:
one (simple) way to do the grouping would be to use tags. that way you can, for example, apply all of the "WHO Health" indicators to your dataset at once
One work flow we discussed is having a set of mappings and then calculations, suppose your dataset is in the UNICEF health format and you want to apply the WHO health indicators. You have two sets of calculations:
UNICEF health to WHO health calculations
WHO health calculations
Then you apply these to your dataset in order. The groups can be formed by tags and there's a way to apply all the calculations with the same tag.
the idea is that we can define a calculation without tying it to a dataset so that we can use it to create actual calculations (i.e. tied to a dataset). these can be applied one after another (in sets, even) so that you can apply the same calculations to different datasets
note: may need a better name
The text was updated successfully, but these errors were encountered: