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Summarize with multiple inactive relations and cross filtering visuals not working.

I am trying to summarize total items using inactive relations, which i am able to do separately using "userelationship" function. I have 3 inactive relations to different dimension tables. Everything looks great when I visualize them separately. The challenge is when cross-filtering the visuals, The filter doesn't flow to other Tables as they don't have active relations.

I tried using the below function which doesn't work. Even tried replacing Userelationship with "CrossFilter" which dint help.

 

 CALCULATE (
                [Total items],
                USERELATIONSHIP ( Date[Date], DataTable[CreatedDate] ),
                USERELATIONSHIP ( dimAging[OpenAge_Bucket], DataTable[Open_Age_Bucket]),
		USERELATIONSHIP (dimType[Open_type],DataTable[Open_type])
              )

 

 This is how my relationship looks:
RelationshipRelationship

Below is my challenge on getting cross-filtering working

Sabarikumar7579_0-1648664137966.png

 

 

1 ACCEPTED SOLUTION
amitchandak
Super User
Super User

@Sabarikumar7579 , The formula seems correct , Check createddate so not have any timestamp (Change datatype to datetime and use a format with date and check )

 

Try like

 

 

CALCULATE (CALCULATE (CALCULATE (
[Total items],
USERELATIONSHIP ( Date[Date], DataTable[CreatedDate] )),
USERELATIONSHIP ( dimAging[OpenAge_Bucket], DataTable[Open_Age_Bucket])),
USERELATIONSHIP (dimType[Open_type],DataTable[Open_type])
)

 

 

If this does not help
Can you share sample data and sample output in table format? Or a sample pbix after removing sensitive data.

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View solution in original post

2 REPLIES 2

Thank you !! @amitchandak 

 

Nested Calculate worked.

amitchandak
Super User
Super User

@Sabarikumar7579 , The formula seems correct , Check createddate so not have any timestamp (Change datatype to datetime and use a format with date and check )

 

Try like

 

 

CALCULATE (CALCULATE (CALCULATE (
[Total items],
USERELATIONSHIP ( Date[Date], DataTable[CreatedDate] )),
USERELATIONSHIP ( dimAging[OpenAge_Bucket], DataTable[Open_Age_Bucket])),
USERELATIONSHIP (dimType[Open_type],DataTable[Open_type])
)

 

 

If this does not help
Can you share sample data and sample output in table format? Or a sample pbix after removing sensitive data.

Share with Power BI Enthusiasts: Full Power BI Video (20 Hours) YouTube
Microsoft Fabric Series 60+ Videos YouTube
Microsoft Fabric Hindi End to End YouTube

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