Dear all, I've been testing the indicator calculation algorithm and noticed something particular of which I'm not sure if it's a bug or a deliberate development choice.
Indicators are not explicitly defined per category such as data elements but the reporting tools allow a disaggregated indicator calculation, which is definitely very useful. In a specific example, I want to know how many people were vaccinated this year and I have 3 kinds of vaccinations: A, B, and C. I have two data elements: the total population and the national vaccination levels (in %), with a custom category "vaccination type" which can be A, B, or C. My indicator would be "total population" x "national vaccination level (total)". That works fine when put in a pivot table. However, when trying to disaggregate the indicator calculation by adding my custom category to the pivot table, I don't have any values anymore. It seems the reason is that the "total population" data element does not have the "vaccination type" category (which seems logical) and therefore isn't found by the calculation algorithm. As a result, my table is empty. It seems useful that the algorithm would take the aggregated value (for population) available in such cases. Another example is over the period dimension: my population is a yearly value, so when calculating an indicator on a monthly basis, instead of taking the available yearly value, he takes zero. So my question: is this a deliberate choice in the development, a bug, or an idea for a future system improvement? Kind regards, Robin
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