I have the following situation: I have two dimensions: one being the date, and another a master dimension that is calculated for each products ("SKU"), telling me my inventory status (for example "Overstock").
I want to show for each date, the proportion of products in each inventory status.
I tried doing it with:
Count(SKU) / Count(Total<[Date]> SKU)
But it was not working. What ended up working was:
I don't understand why that Aggr was needed, anyone could please explain? Could it be related to the fact that my other dimension is a calculated one, also using Aggr?
....I don't understand why that Aggr was needed, anyone could please explain? Could it be related to the fact that my other dimension is a calculated one, also using Aggr?
Thank you very much!
You are right. When you are using two dimensions in the chart and using 'total <Date>' - your calculation is still respecting the second dimension. However, when you are using 'aggr( ... total <Date> .. , Date)' , you are explicitly mentioning to consider the Date dimension only for aggregation; and therefore - your second dimension in the chart is disregarded in the calculation part.
However if I use Aggr, then wouldn't I get the same result without writing the details after total? For example:
Aggr(NODISTINCT Count(SKU), [Date])
Also, if when you are using two dimensions in the chart, the calculation is still respecting the second dimension, I don't understand how the first reply in the below thread could have worked?
