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abhiram342
Microsoft Employee
Microsoft Employee

Slice Data for column with command seperated values

Hi Team,

 

I have Fact and Dimension table and One of Column in Fact Table has comma seperated values and I want to slice data when I filter particular value from it. Please find below example

 

FactPipeline:

DateIDApplicationNameRunTime (Mins)
9/1/2023Sales,Insights,Profits20
9/2/2023Sales,Insights,Profits30
9/2/2023Sales,Insights,Profits50

DimApplications:

This Table is create by splitting Applications names from FactPipeline.

ApplicationName
Sales
Insights
Profits

 

If user selects "Sales", then we want to take AverageRunTime. I'm able to create DAX Measure but not sure how to use filter Sales from Facts because it has comma seperated values, if I split "ApplicationNames" into multiple rows then it will result in duplicate values for runtime.

 

Thanks,

Abhiram

1 ACCEPTED SOLUTION
ERD
Community Champion
Community Champion

@abhiram342 , you can use this measure:

AverageRunTime =
VAR appname = SELECTEDVALUE ( Applications[ApplicationName] )
VAR t =
    FILTER (
        ALL ( FactPipeline[ApplicationName] ),
        CONTAINSSTRING ( FactPipeline[ApplicationName], appname )
    )
RETURN
    CALCULATE ( AVERAGE ( FactPipeline[RunTime (Mins)] ), t )

ERD_0-1694765060850.png

 

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly. Appreciate your Kudos.

Check out my latest demo report in the data story gallery.

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1) Support the Armed Forces of Ukraine: https://bank.gov.ua/ua/about/support-the-armed-forces
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Thank you!

View solution in original post

1 REPLY 1
ERD
Community Champion
Community Champion

@abhiram342 , you can use this measure:

AverageRunTime =
VAR appname = SELECTEDVALUE ( Applications[ApplicationName] )
VAR t =
    FILTER (
        ALL ( FactPipeline[ApplicationName] ),
        CONTAINSSTRING ( FactPipeline[ApplicationName], appname )
    )
RETURN
    CALCULATE ( AVERAGE ( FactPipeline[RunTime (Mins)] ), t )

ERD_0-1694765060850.png

 

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly. Appreciate your Kudos.

Check out my latest demo report in the data story gallery.

Stand with Ukraine!


Here are official ways you can support Ukraine financially (accounts with multiple currencies):
1) Support the Armed Forces of Ukraine: https://bank.gov.ua/ua/about/support-the-armed-forces
2) Come Back Alive foundation: https://www.comebackalive.in.ua/

Thank you!

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