Forum Discussion
Weighted Average shows wrong sum
Hi there,
I am struggling with computing the weighted average of deviations. I have a range of deviation from -304 to 88 and the count of how many times one deviation occurs. For example: the deviation of -1 occurs 38,380 times, the deviation of 8 only 388 times. Now I want the weighted average of these deviations.
First I calculate the weight of each deviation. Then I multiply the weight and the deviation. For the dviation of -3:
-3 * 0.0614 = -0.1841
After I calculate all theses numbers I need to sum up the last column. The sum shows the total of 88 ( the max deviation of 88 * 100% which is wrong). I tried to calculate the sum with SUMX but its not working.
Am I approaching the problem wrong? I hope you understand my issue and sorry for bad english.
Huge thanks in advance.
Best regards!
Hi!
Looks to me like SUMX(Table, Table[Deviation] * Table[Weight]) should give your desired result, but maybe not. What result are you getting?
Is "Deviation + Weight" a calculated column? If you SUM() that in a separate measure SUM(Table[Deviation + Weight]), do you get your expected result then?
If you are able to share some sample data it might be easier to help you figure it out.
4 Replies
- TomasAnderssonSolution Sage
Hi!
Looks to me like SUMX(Table, Table[Deviation] * Table[Weight]) should give your desired result, but maybe not. What result are you getting?
Is "Deviation + Weight" a calculated column? If you SUM() that in a separate measure SUM(Table[Deviation + Weight]), do you get your expected result then?
If you are able to share some sample data it might be easier to help you figure it out.- AnonymousNot applicable
Hi,
thanks for your reply.
As of now I only have measures. I will try to calculate with calculated columns. If this wont help, I'll try to share sample data.
- TomasAnderssonSolution Sage
Ah, ok. Would below get you the expected result?
Measure = sumx('Table', DIVIDE( 'Table'[Deviation], [Count deviation all] ) )