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Thumper369
Frequent Visitor

Power BI Measure - Summarize distinct values

I am trying to find the sum for defective effort but I need it to only sum distinct WorkItemId where Links.TargetWorkItem.WorkItemId is not blank


Measures I currently have:


Defective Effort =
CALCULATE(SUM('Work items with direct links'[Effort]),NOT(ISBLANK('Work items with direct links'[Links.TargetWorkItem.WorkItemId])))

 

For the Sum in the table below (and in the chart) I am wanting the total to be 31 not 35, The Effort for ID 10829 is Getting counted twice

Thumper369_1-1648591344671.png

 

Thumper369_2-1648591531978.png

Thanks for the help.  I have searched for a few hours and can not find one that is workign for me.  



1 ACCEPTED SOLUTION
v-stephen-msft
Community Support
Community Support

Hi @Thumper369 ,

 

Here's the solution.

1.The dummy data I created.

vstephenmsft_0-1648783853641.png

 

2.Create a measure to calculate the Defective Effort.

Defective Effort =
CALCULATE (
    SUM ( 'Work items with direct links'[Effort] ),
    FILTER (
        ALLSELECTED ( 'Work items with direct links' ),
        [ID] = MAX ( 'Work items with direct links'[ID] )
            && [Links.TargetWorkItem.WorkItemId] <> BLANK ()
    )
)

 

3.You can see that the total in the table is incorrect, so we just need to create a new measure to add them correctly.

vstephenmsft_1-1648784324813.png

 

4.The new measure.

Total = 
VAR _table =
    ADDCOLUMNS (
        VALUES ( 'Work items with direct links'[ID] ),
        "DE", [Defective Effort]
    )
RETURN
    SUMX ( _table, [DE] )

vstephenmsft_2-1648784523885.png

 

 

If you're still confused, please provide some dummy data and expected results.

 

 

Best Regards,

Stephen Tao

 

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

View solution in original post

4 REPLIES 4
Thumper369
Frequent Visitor

The problem I was having turned out to be the relationship betwen two tables.  Created a table with only one entry for each sprint # then tied all the tables back to that table with a 1:many instead of many:many.  This resolved the problem.  

Thanks everyoe for your help. 

v-stephen-msft
Community Support
Community Support

Hi @Thumper369 ,

 

Here's the solution.

1.The dummy data I created.

vstephenmsft_0-1648783853641.png

 

2.Create a measure to calculate the Defective Effort.

Defective Effort =
CALCULATE (
    SUM ( 'Work items with direct links'[Effort] ),
    FILTER (
        ALLSELECTED ( 'Work items with direct links' ),
        [ID] = MAX ( 'Work items with direct links'[ID] )
            && [Links.TargetWorkItem.WorkItemId] <> BLANK ()
    )
)

 

3.You can see that the total in the table is incorrect, so we just need to create a new measure to add them correctly.

vstephenmsft_1-1648784324813.png

 

4.The new measure.

Total = 
VAR _table =
    ADDCOLUMNS (
        VALUES ( 'Work items with direct links'[ID] ),
        "DE", [Defective Effort]
    )
RETURN
    SUMX ( _table, [DE] )

vstephenmsft_2-1648784523885.png

 

 

If you're still confused, please provide some dummy data and expected results.

 

 

Best Regards,

Stephen Tao

 

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

amitchandak
Super User
Super User

@Thumper369 , Try a measure like

 


sumx(summarize('Work items with direct links','Work items with direct links'[Links.TargetWorkItem.WorkItemId],'Work items with direct links'[Effort]), [Effort])

 

or

 


sumx(summarize('Work items with direct links','Work items with direct links'[Links.TargetWorkItem.WorkItemId],"_1", max( 'Work items with direct links'[Effort])), [_1])

Sorry, neither of those work.  I tried them on their own, but they did not constarin it to only rows that had  targetworkItem.WorkItemId.   
I tried them in my measurement but they still do not exclude the duplicate of 108829

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