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Hi, I am looking for a measure to solve the below problem:
Name | Call type | Attendees |
Neeraj | F2F | 50 |
Neeraj | Digital | 50 |
Neeraj | Events | 50 |
Gaurav | F2F | 60 |
Gaurav | Digital | 60 |
Ajay | F2F | 70 |
Above is the sample table as our company table is very big. In above table we the number of attendees will be same for each name but when anyone choose multiple names then it should sum the attendees..for e.g. THere are total 50 Attendees who attended event organized by Neeraj and there are 110 attendees who attended the event organized by Neeraj and Gaurav.
I want to a meausre which can perform following:
I will create 2 slicers from above table "Name" and "Call Type"
Now, When I choose Neeraj from Slicer Name then Number of attendees should come as 50. Call type slicer is All
But, When I choose Neeraj and Gaurav from Slicer Name then Number of attendees should come as 110. Call type slicer is All
Solved! Go to Solution.
Hi,
Please check the below picture and the attached pbix file.
expected result measure: =
SUMX ( SUMMARIZE ( Data, Data[Name], Data[Attendees] ), Data[Attendees] )
Hi @Anonymous ,
Here I create a sample to have a test.
Measure:
Sum of average =
VAR _STEP1 =
SUMMARIZE (
'Table',
'Table'[Name],
"Average",
CALCULATE (
AVERAGE ( 'Table'[Attendees] ),
ALLEXCEPT ( 'Table', 'Table'[Name], 'Table'[Call type] )
)
)
RETURN
SUMX ( _STEP1, [Average] )
Result is as below.
By Default, measure should return 50+60+50 in my Sample.
Select Neeraj and Gaurav in Name:
Best Regards,
Rico Zhou
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi,
Please check the below picture and the attached pbix file.
expected result measure: =
SUMX ( SUMMARIZE ( Data, Data[Name], Data[Attendees] ), Data[Attendees] )
Thank you so much for your help and time. It worked 🙂
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