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Anonymous's avatar
Anonymous
Not applicable
6 years ago
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Measure to Sum Joined Tables

I have my data model set up with a customer table and an eventtable. Multiple customers go to each event, and events have different durations. I want to sum up the total minutes that customers are at...
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  • v-eachen-msft's avatar
    v-eachen-msft
    6 years ago

    Hi Anonymous ,

     

    You don't need to sum it twice. Please refer to the following measure:

    Measure =
CALCULATE (
    SUM ( Events[Duration] ),
    NATURALINNERJOIN ( 'Events', 'CustomerEvents' )
)

     

Anonymous's avatar
Anonymous
Not applicable
6 years ago

The relationships are already set up. They are 1-*, and only cross filter one direction for necessity. There are other relationships involved, so the actual calculate measure I am using has more to it than this, but I am currently using something like this:

measure = 
calculate(
  sumx(CustomerEvents,sum(Events[Duration]))
  ,crossfilter(CustomerEvents,Events,both)
)

 

This doesn't result in the correct answer. Here's why:

Sum(Events[Duration]) = 392
Countrows(CustomerEvents) = 38
sumx(CustomerEvents,sum(Events[Duration])) = 14,896
sumx(CustomerEvents,sumx(Events,[Duration])) = 14,896

 So what this is doing is giving me 392*38 as the answer, when that is not correct. I need the durations to be spread out / weighted by how many customers attended each event. The correct answer is 1,305 when calculated correctly using the join method above in SQL, but I can't get that to happen in PBI.

v-eachen-msft's avatar
v-eachen-msft
Icon for Community Support rankCommunity Support
6 years ago

Hi Anonymous ,

 

You don't need to sum it twice. Please refer to the following measure:

Measure =
CALCULATE (
    SUM ( Events[Duration] ),
    NATURALINNERJOIN ( 'Events', 'CustomerEvents' )
)