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Anonymous
Not applicable

## Sum of a distinct count of product ID

Helloo!

I'm trying to get an average of orders of products over the year and using DISTINCTCOUNT([Product ID]) - how would I sum this to get total unique product orders for the year so I can divide by 12 to get the average for the year? I need this split out by Product Category (see below)

 Product Category Total Product ID Avg Product ID per month 1 72 6 2 120 10 3 60 5

1 ACCEPTED SOLUTION
Super User

@Anonymous

maybe you can try

total =  CALCULATE(DISTINCTCOUNT(PRODUCTID),ALLEXCEPT(TABLE,PRODUCTCATEGORY))

avg=total/12

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5 REPLIES 5
Super User

@Anonymous

maybe you can try

total =  CALCULATE(DISTINCTCOUNT(PRODUCTID),ALLEXCEPT(TABLE,PRODUCTCATEGORY))

avg=total/12

Proud to be a Super User!

Super User

@PickleRick, not very clear. Can you share sample data and sample output in table format?

Add up different product identifiers per month and divide it for no months

sumx(values(Date[Month-Year]), DISTINCTCOUNT(Product[Product ID]) )/12

O

sumx(values(Date[Month-Year]), DISTINCTCOUNT(Product[Product ID]) )/DISTINCTCOUNT(Date[Month-Year])

Anonymous
Not applicable

@amitchandak  How do I sum distinct product IDs by month?

Super User

@Anonymous - Assuming that Avg Product ID Per Month is your distinct product id count per month and that the table presented represents your source data, it would be:

``Measure = SUM([Avg Product ID Per Month])``

Not making those assumptions and assuming what you showed is a table visualization you created and thus making further assumptions about your data it might be something like:

``````Measure =
VAR __Table = SUMMARIZE('Table',[Product Category],[Month],"Count",COUNTROWS(DISTINCT('Table'[Product ID])))
RETURN
SUMX(__Table,[Count])``````

If it is none of that, 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

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.

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DAX is easy, CALCULATE makes DAX hard...
Super User

@Anonymous - Did this resolve your issue?

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