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Frequent Visitor

## distinct count of multiple columns

My data contains FName, LName, MName, Gender, Card ID, Health ID, Active Flag and there may be Null in any column for each row i am trying to calculate distinct count  (FName+Card ID+Health ID) and distinct count  (FName+Card ID+Health ID+Where Gender=M)

 FNAME LNAME MNAME Gender Card ID Health ID ActiveFlag AB CD X M 1234567 12345 Y BC EF Y M 9810561 67891 N AB CD X M 1234567 12345 Y IH PQ Z M 4567890 34564 N IM PY C F 56789 N F 1456478 67890 N ME EE B M 78901 N AB CD X M 1234567 12345 Y BC EF Y M 9810561 67891 N

Thanks

1 ACCEPTED SOLUTION
Anonymous
Not applicable

Create two measures and try the following Dax

`Measure1 = COUNTROWS(GROUPBY(User,User[FNAME],User[Card ID],User[Health ID],User[Gender]))`
`Measure2 = COUNTROWS(FILTER(GROUPBY(User,User[FNAME],User[Card ID],User[Health ID],User[Gender]),User[Gender]="M"))`

8 REPLIES 8
Anonymous
Not applicable

Hi,

I am wondering which is the best solution in terms of performance?

Concatenate Calculated Column ?
OR
GroupBy Measure ?

Rob

I think for performance is better calculated column, for datamodel size is better groupBy.

Correct me someone, if I am wrong.

MVP

Yes, calculated column is better for performance.

The measure will not perform well in that version, it's better to use SUMMARIZE instead of GROUPBY and CALCULATETABLE instead of FILTER, this way you don't have to materialize Gender:

``````Measure2 =
CALCULATETABEL (
COUNTROWS (
SUMMARIZE ( User, User[FNAME], User[Card ID], User[Health ID] )
),
User[Gender]="M"
)``````

New Member

Maestro!

Just a quick precision:

``````Measure2 =
CALCULATE (
COUNTROWS (
SUMMARIZE ( User, User[FNAME], User[Card ID], User[Health ID] )
),
User[Gender]="M"
)``````

Change the CALCULATETABLE to simple  CALCULATE.

Have a great day!

Anonymous
Not applicable

Create two measures and try the following Dax

`Measure1 = COUNTROWS(GROUPBY(User,User[FNAME],User[Card ID],User[Health ID],User[Gender]))`
`Measure2 = COUNTROWS(FILTER(GROUPBY(User,User[FNAME],User[Card ID],User[Health ID],User[Gender]),User[Gender]="M"))`

Anonymous
Not applicable

Worked for me too.

Thumbs up

Frequent Visitor

Thanks Jessica the Measures are working.

Anonymous
Not applicable

Hi

1. Create a new column :   New_Col = 'Table1'[FNAME]&'Table1'[Card ID]&'Table1'[Health ID]

2. Then you can create measure to do the count as needed:

Dist_cnt = CALCULATE(DISTINCTCOUNT('Table1'[New_Col]))

Dist_Male_Cnt=CALCULATE(DISTINCTCOUNT('Table1'[New_Col]),'Table1'[Gender]="M")

Hope this helps.

Thanks
Raj