Sum of a distinct count of product ID

[Anonymous]

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

[ryan_mayu · Accepted solution]

@Anonymous 

maybe you can try

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

avg=total/12

[amitchandak]

@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]

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

[Greg_Deckler]

@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

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.

[Greg_Deckler]

@Anonymous - Did this resolve your issue?