topic Re: DAX: Distinct count with multiple filters in DAX Commands and Tips

DAX: Distinct count with multiple filters

Anonymous — Tue, 31 Aug 2021 11:58:02 GMT

Hi,

I'm quite new to DAX and I don't seem to get a good formula for the below calculation.

I have many products that were sold over the years.

Now, I want to distinct count the products that were sold > 50 in the year 2021

I tried this but didn't work:

=IF(CALCULATE([Volume];'Calendar'[Year]=2021)>50;DISTINCTCOUNT([Product]))

Could you help out? Many thanks!

Re: DAX: Distinct count with multiple filters

Greg_Deckler — Tue, 31 Aug 2021 12:05:03 GMT

Anonymous Perhaps try COUNTROWS(DISTINCT(FILTER('Table',<filters go here>)))

If that is not helpful. Sorry, having trouble following, can you post sample data as text and expected output?
Not really enough information to go on, please first check if your issue is a common issue listed here: https://community.powerbi.com/t5/Community-Blog/Before-You-Post-Read-This/ba-p/1116882

Also, please see this post regarding How to Get Your Question Answered Quickly: https://community.powerbi.com/t5/Community-Blog/How-to-Get-Your-Question-Answered-Quickly/ba-p/38490

The most important parts are:
1. Sample data as text, use the table tool in the editing bar
2. Expected output from sample data
3. Explanation in words of how to get from 1. to 2.

Re: DAX: Distinct count with multiple filters

Jos_Woolley — Tue, 31 Aug 2021 12:18:20 GMT

Hi,

Distinct_Vol>50_Year2021 = CALCULATE ( DISTINCTCOUNT ( Sales[Product] ), 'Calendar'[Year] = 2021, Sales[Volume] > 50 )

Regards

Re: DAX: Distinct count with multiple filters

Anonymous — Wed, 01 Sep 2021 08:06:09 GMT

Thanks Jos, however this is not working, please find more info on figure below:

Re: DAX: Distinct count with multiple filters

Anonymous — Wed, 01 Sep 2021 08:07:08 GMT

Thanks Greg_Deckler

Please find a figure below to help, the yellow cell "4" is what I aim to get:

Re: DAX: Distinct count with multiple filters

Jos_Woolley — Wed, 01 Sep 2021 08:54:50 GMT

Works fine for me. Perhaps share your file.

Regards

Re: DAX: Distinct count with multiple filters

VahidDM — Wed, 01 Sep 2021 09:06:08 GMT

Hi Anonymous
Try this measure:

Measure = COUNTROWS ( DISTINCT ( FILTER ( FILTER ( 'Table', YEAR ( 'Table'[Date] ) = 2021 ), 'Table'[Sales (KG)] > 50 ) ) )

Table:

Output:

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

Appreciate your Kudos !!

Re: DAX: Distinct count with multiple filters

Greg_Deckler — Wed, 01 Sep 2021 10:51:40 GMT

Anonymous Yep, VahidDM's solution was the route I was thinking about, COUNTROWS(DISTINCT(FILTER. Could also be written:

Measure = COUNTROWS DISTINCT( SELECTCOLUMNS( FILTER( 'Table', YEAR( 'Table'[Date]) = 2021 && [Sales (kg)] > 50), "__Product",[Product] ) ) )

The difference is that you are returning distinct products in the above measure versus distinct table rows. Not sure if that matters or not.

Re: DAX: Distinct count with multiple filters

Anonymous — Fri, 03 Sep 2021 10:13:32 GMT

Hi Greg_Deckler ,

Thanks but it's still not working out for me. Could easily be the fact that I'm new but the tables are different.

So I have a "Calendar" table where I want the year to be 2021.

Than I have a measure 'Sales (kg)' that I want to be > 50

Many thanks,

Lenn

Re: DAX: Distinct count with multiple filters

Anonymous — Fri, 03 Sep 2021 10:16:43 GMT

Hi VahidDM

Thanks but it's still not working out for me. Could easily be the fact that I'm new but the tables are different.

So I have a "Calendar" table where I want the year to be 2021.

Than I have a measure 'Sales (kg)' that I want to be > 50

Many thanks,

Lenn

Re: DAX: Distinct count with multiple filters

VahidDM — Sat, 04 Sep 2021 03:35:21 GMT

Hi Anonymous

Ii it possible to share sample of your table(s) here? not as a screenshot😎

Or can you share your PBIX file here?(Dropbod, gofile.io, google drive)

Appreciate your Kudos ✌️ !!

Re: DAX: Distinct count with multiple filters

Peppermint_T — Thu, 10 Feb 2022 12:12:43 GMT

Great simple & elegant solution. Thank you.