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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 |
Solved! Go to Solution.
@Anonymous
maybe you can try
total = CALCULATE(DISTINCTCOUNT(PRODUCTID),ALLEXCEPT(TABLE,PRODUCTCATEGORY))
avg=total/12
Proud to be a Super User!
@Anonymous
maybe you can try
total = CALCULATE(DISTINCTCOUNT(PRODUCTID),ALLEXCEPT(TABLE,PRODUCTCATEGORY))
avg=total/12
Proud to be a 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 - 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.
@Anonymous - Did this resolve your issue?
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