Forum Discussion
Calculating average for measure
AverageTotal = AverageX(Summarize('Table';Table[Group ];"MyAverage";[Measure3]);[MyAverage])
- aktripathi25069 years agoHelper IV
Hi Vvelarde,
I was using the similar formula before but not getting the result.
I was using this equation:
_M_New2 = AVERAGEX(SUMMARIZE(Table,Table[Group],"toAverage",[Measure 3]),[Measure 3])
answer I was getting : 0.72 (72%)
This I changed to
_M_New2 = AVERAGEX(SUMMARIZE(Table,Table[Group],"toAverage",[Measure 3]),[toAverage])
and now answer I am getting is: 0.53 (53%)
Both are not giving the correct expected answer.
Thank you.
- Anonymous9 years agoNot applicable
If you follow OwenAuger approach it will give you the desired result.
Only thing you need to do is change YourTable[Group] by YourTable
Measure 3 =
AVERAGEX (
YourTable,
1 - DIVIDE ( [Measure 1], [Measure 2] )
)If this is what are you want please accept OwenAuger reply as a solution and KUDOS to me and OwenAuger
Cheers
CheenuSing
- aktripathi25069 years agoHelper IV
Hi Anonymous
Thank you for replying.
Measure 1 , measure 2 are not just column name they are acually measure calculate by other columns.
What I want to calculate is the average of [1-(measure1/measure2)]
Measure 1 is : SUM(table1[Hours Spent]) (after applying some page level filter)
Measure 2 is: total hour spent by the group by ignoring any filter/slicer except few which I have done by using the filter allexcept.
Measure 3 is simply : 1- DIVIDE([Measure 1],[Measure 2])
This is what I got by using the formula you suggested. When I selected another week from the week slicer. Again the result is not matching with the expected output.
Group Measure 1 Measure 2 Measure 3 New Measure A 51 100.00% B 9 659.75 98.60% 100% C 20.5 775.75 97.40% 100% D 1 100.00% E 100.00% F 2.5 731.75 99.70% 50% G 13.5 61.5 78.00% 71% H 100.00% I 100.00% J 46 239 80.80% 79% K 100.00% L 100.00% M 4.5 411.75 98.90% 94% N 7 428.75 98.40% 100% O 174.75 100.00% P 12.5 432.25 97.10% 99% Q 1.5 56 97.30% 0% R 14.75 224.75 93.40% 79% S 100.00% Total 131.75 4248 96.90% 84%