DAX Measure: Show ID's where Column B has multiple values for Column A

[Titatovenaar2]

Hi,

I have a simple table like this:

ID	Cat1	Cat2
1	A	01
2	A	02
3	B	01
4	C	01
5	D	01
6	D	01

I want to view the records where Cat1 has multiple values for Cat2.

Which should look like the following, because only for Cat1 A, Cat2 has multiple values.

ID	Cat1	Cat2	Measure
1	A	01	1
2	A	02	1
3	B	01	0
4	C	01	0
5	D	01	0
6	D	01	0

The following DAX shows the correct COUNT, but when placed in the above table, it shows BLANK values. It does not show 1's or 0's per row. This makes sense, because the measure is on the level of Cat1. How to change the DAX in a way to view 1's and 0's per row on the level of column 'ID'?

COUNTROWS(
    FILTER(
        ADDCOLUMNS(
            SUMMARIZE(
                'Table'
                ,'Table'[Cat1]
            )
            ,"CNT Cat2",CALCULATE(DISTINCTCOUNT('Table'[Cat2]))
        ),[CNT Cat2] > 1
    )
)

I need a measure instead of a calculated column in this model.

Does anyone have any suggestion how to tackle this?

Kind regards,

[Jihwan_Kim · Accepted solution]

Hi,

Please check the below picture and the attached pbix file.

Expected outcome measure: =
VAR _result =
    COUNTROWS (
        FILTER (
            ADDCOLUMNS (
                DISTINCT ( 'Table'[Cat1] ),
                "@count",
                    CALCULATE (
                        COUNTROWS ( DISTINCT ( 'Table'[Cat2] ) ),
                        ALL ( 'Table'[ID], 'Table'[Cat2] )
                    )
            ),
            [@count] > 1
        )
    ) > 0
RETURN
    IF ( ISINSCOPE ( 'Table'[Cat1] ), DIVIDE ( _result, _result, 0 ) )

[Titatovenaar2]

Works like a charm! Nice way of using ISINSCOPE(). Thanks