Distinct Count ignoring one column plus calculate average

Anonymous — Wed, 24 Apr 2024 14:31:17 GMT

Hello, all!

I have the following table

And im trying to get a simple DISTINCT COUNT[ID] but its not working because the column Type has two different values (B and E).

If i use a mesure, it works BUT im trying to use a Column because after i get the distinct count, ill need get the average.

Like the example below:

In short, i need to get the average of distinct count[id].

Ive tried create a column with

CALCULATE(DISTINCTCOUNT(Consult[id]) / DISTINCTCOUNT(Consult[date].[Month]), ALLSELECTED(Consult[date].[Day]))

But its not working because its counting the same ID twice when the ID has the B and E type.

If there is a way to get the column average that i need using a measure, ill be glad to learn how.

Thanks!

Re: Distinct Count ignoring one column plus calculate average

barritown — Wed, 24 Apr 2024 20:08:29 GMT

Hi Anonymous,

Try this piece of code:

In plain text:

Avg_Distinct_ID = VAR _tbl = SUMMARIZE ( 'Table', [Year], [Month], "dValue", DISTINCTCOUNT ( 'Table'[ID] ) ) RETURN AVERAGEX ( _tbl, [dValue] )

Best Regards,

Alexander

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