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googlogmob Member

Row level calculation over the dimention

I have to calculate measure DIFF = [PLAN]-[SUMM] over only [Type]  column for every value
and summ only values >0

```[PLAN] = SUM(tab[plan])
[SUMM] = SUM(tab[fact])``` I tried use SUMMARIZECOLUMNS, but I got error "SummarizeColumns() and AddMissingItems() may not be used in this context"

```DIFF =
VAR tab = SUMMARIZECOLUMNS(crm[Type];"diff";[PLAN]-[SUMM]))
RETURN SUMX(tab;[diff])```

and cant understand how to add checking

`[PLAN]-[SUMM] > 0`

in this calculation

1 ACCEPTED SOLUTION

Accepted Solutions
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DAX0110 Member

Re: Row level calculation over the dimention

Without having your source dataset to work with, I can only attempt a theoretical solution... have a try and see if this works:

Create a measure called "DIFF (PLAN-SUMM)" :

=VAR isInRow = HASONEVALUE( tab[Type] )

RETURN SUMX(

VALUES( tab[Type] )

,  CALCULATE(

VAR thePlan = SUM(tab[PLAN])

VAR theSumm = SUM(tab[SUMM])

VAR DIFF = thePlan - theSumm

RETURN

IF ( DIFF >= 0, DIFF

, IF( isInRow, DIFF

, 0  )

)

)

)

This measure should work in both the grand total cell and in each row.

When it's in "row mode", all kinds of DIFF's will be displayed, but

when it's in grand total mode, only DIFF>=0 will be included.

3 REPLIES 3
Highlighted
DAX0110 Member

Re: Row level calculation over the dimention

Without having your source dataset to work with, I can only attempt a theoretical solution... have a try and see if this works:

Create a measure called "DIFF (PLAN-SUMM)" :

=VAR isInRow = HASONEVALUE( tab[Type] )

RETURN SUMX(

VALUES( tab[Type] )

,  CALCULATE(

VAR thePlan = SUM(tab[PLAN])

VAR theSumm = SUM(tab[SUMM])

VAR DIFF = thePlan - theSumm

RETURN

IF ( DIFF >= 0, DIFF

, IF( isInRow, DIFF

, 0  )

)

)

)

This measure should work in both the grand total cell and in each row.

When it's in "row mode", all kinds of DIFF's will be displayed, but

when it's in grand total mode, only DIFF>=0 will be included.

googlogmob Member

Re: Row level calculation over the dimention

@DAX0110, it works as it should! Thanks very much

DAX0110 Member

You're welcome!