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Hi PowerBI community and hopefully I'll find an aswer here. 😊
My problem is that I have a simple AVERAGE(X) function because I'm using a table has been cross joined (a cartesian product). Now, when drilling down the smalledt granularity possible (eg. product code), I get a correct result, but when drill up to category, I get an average inside of that category, which is expected and logical behaviour.
Is it possible to make a derived measure out of the simple AVERAGE(X) measure that would sum whenever I "climb up" a dimension, eg. from product to category. I tried doing the following which is kind of what I am looking (I think):
View below wold show seperate inputted forecasts for some dates for the same product:
On the other hand, view below should show "total" (SUM) of each category:
If any of resident DAX experts could help, I would be very grateful 🙂
Thank you!
Solved! Go to Solution.
Hi there,
sorry for the lack of reply, just now got to it. I have to say, this honestly look a bit too complicated for me, but I have figured out (at least I think so) what to do:
This seems to work for now, I'll report back if there any unwanted occurences.
Thank you again!
Hi there,
sorry for the lack of reply, just now got to it. I have to say, this honestly look a bit too complicated for me, but I have figured out (at least I think so) what to do:
This seems to work for now, I'll report back if there any unwanted occurences.
Thank you again!
That's great. If it is a solution can you please mark it as solved?
Have a good week ahead!
Hi:
The INSCOPE function works well for your question. I'm not sure if you have subcat, but you can start with this approach. This should reveal the category % of total and thenhow the products reporting to this category contribute to their category. I hope it helps you.
DIVIDE([Sales Amount],
CALCULATE([Sales Amount], REMOVEFILTERS(Products[Category])))
or ,REMOVEFILTERS())