Power BI Visual

Hi alir22456 ,

ryan_mayu Thanks for your reply!

And alir22456 you can try this way:
Here is my sample data:

Use this DAX to create two calculated tables for slicers (If only one slicer won't do what you need it to do):

Buy = VALUES('Table'[Services])

Not Buy = VALUES('Table'[Services])

Please note that there is no relationship between tables:

Use this DAX to create a measure to return Customers who have only bought the Services selected in the first slicer:

Buy_single_Customers = 
CONCATENATEX(
    FILTER(
        'Table',
        'Table'[Services] IN VALUES(Buy[Services])
    ),
    'Table'[Customers],
    ","
)

Continue to use this DAX to create a measure that returns Customers who bought both the Services selected in the first slicer and the Services selected in the second slicer:

Buy_both_Customers = 
VAR _BUY = 
CALCULATETABLE(
    DISTINCT('Table'[Customers]),
    FILTER(
        ALL('Table'),
        'Table'[Services] IN VALUES(Buy[Services])
    )
)
VAR _NOT_BUY = 
CALCULATETABLE(
    DISTINCT('Table'[Customers]),
    FILTER(
        ALL('Table'),
        'Table'[Services] IN VALUES('Not Buy'[Services])
    )
)
VAR _Both = 
INTERSECT(_BUY, _NOT_BUY)
RETURN
CONCATENATEX(
    _Both,
    'Table'[Customers],
    ","
)

Finally this DAX is used to create a measure to return Customers who only bought the Services selected in the first slicer and not the Services selected in the second slicer:

Both - Single = 
VAR _BUY = 
CALCULATETABLE(
    DISTINCT('Table'[Customers]),
    FILTER(
        ALL('Table'),
        'Table'[Services] IN VALUES(Buy[Services])
    )
)
VAR _NOT_BUY = 
CALCULATETABLE(
    DISTINCT('Table'[Customers]),
    FILTER(
        ALL('Table'),
        'Table'[Services] IN VALUES('Not Buy'[Services])
    )
)
VAR _Both = 
EXCEPT(_BUY, _NOT_BUY)
RETURN
CONCATENATEX(
    _Both,
    'Table'[Customers],
    ","
)

And the final output is as below:

Best Regards,
Dino Tao
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