Help with if statement for different values in other columns

[Anonymous]

I have a dataset below:

Location	Name	age	income
UK	x	teen	low
UK	x	adult	low
UK	y	teen	high
USA	z	adult	low
USA	z	adult	high

I want to point out mistakes in the dataset where for one person ( ie x or z), the age or income columns are not the same (when they should be)

I want to end up with a table visual in powerbi whereby it points out the discrepancy 

Location	Name	Discrepancy found?
UK	X	Y
UK	Y	N
USA	Z	Y

What dax can i use to do this?

[v-yanjiang-msft · Accepted solution]

Hi @Anonymous ,

According to your description, here's my solution. Create a measure.

Discrepancy found? =
IF (
    COUNTROWS (
        FILTER (
            ALL ( 'Table' ),
            'Table'[Location] = MAX ( 'Table'[Location] )
                && 'Table'[Name] = MAX ( 'Table'[Name] )
                && (
                    'Table'[age] <> MAX ( 'Table'[age] )
                        || 'Table'[income] <> MAX ( 'Table'[income] )
                )
        )
    ) > 0,
    "Yes",
    "No"
)

Get the correct result:

I attach my sample below for your reference.

Best Regards,
Community Support Team _ kalyj

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

[ddpl]

@Anonymous ,

Create a Calculated Column as shown below...

Discrepancy =

IF (
    CALCULATE (
        COUNT ( 'Table'[income] ),
        FILTER (
            'Table',
            'Table'[Location] = EARLIER ( 'Table'[Location] )
                && 'Table'[Name] = EARLIER ( 'Table'[Name] )
        )
    ) > 1,
    IF (
        DISTINCTCOUNT ( 'Table'[age] ) > 1
            || DISTINCTCOUNT ( 'Table'[income] ) > 1,
        "Y"
    ),
    "N"
)

[Anonymous]

Hi ddpl,

Thanks for submitting this, unfortunately it doesn't work as it doesn't fulfil the requirement of being able to indicate which ones have the same location & name, but different values for income or age.

If it helps, there will only ever be "teen" or "adult" values for age, and with Income it will only be "High", Low" or "N/a"

[ddpl]

@Anonymous ,

can you share slightly more data with expected result.