Join us for an expert-led overview of the tools and concepts you'll need to pass exam PL-300. The first session starts on June 11th. See you there!
Get registeredPower BI is turning 10! Let’s celebrate together with dataviz contests, interactive sessions, and giveaways. Register now.
I am creating a new column to calculate the weighted average price for our products based on multiple filters.
I am getting what looks like a proper output when using this DAX formula.
2022 Price List Weighted average Dealer Price Column 2 = CALCULATE(DIVIDE(SUMX('quotedetail',[Dealer Price Per Unit]*[Quantity]),SUMX('quotedetail',[Quantity])),
FILTER(ALLSELECTED('quote'), quote[Price List] = "2022 Price List"),
FILTER(ALLSELECTED('quote'), quote[statuscodename] <> "Revised"))
But as soon as I add in one more filter from my Quotedetails table the amounts are all the same.
Any help with this is greatly appreciated!
@Lindino08 , Use allselected , if you want to ignore some filter. Try like
2022 Price List Weighted average Dealer Price Column 2 = CALCULATE(DIVIDE(SUMX('quotedetail',[Dealer Price Per Unit]*[Quantity]),SUMX('quotedetail',[Quantity])),
FILTER(ALLSELECTED('quote'), quote[Price List] = "2022 Price List"),
FILTER(ALLSELECTED('quote'), quote[statuscodename] <> "Revised"),
FILTER(('quotedetail'), quotedetail[Option Upcharge?] = "No"))
or
2022 Price List Weighted average Dealer Price Column 2 = CALCULATE(DIVIDE(SUMX('quotedetail',[Dealer Price Per Unit]*[Quantity]),SUMX('quotedetail',[Quantity])),
FILTER(('quote'), quote[Price List] = "2022 Price List" && quote[statuscodename] <> "Revised"),
FILTER(('quotedetail'), quotedetail[Option Upcharge?] = "No"))
This is your chance to engage directly with the engineering team behind Fabric and Power BI. Share your experiences and shape the future.
Check out the June 2025 Power BI update to learn about new features.
User | Count |
---|---|
14 | |
10 | |
10 | |
9 | |
9 |
User | Count |
---|---|
20 | |
13 | |
12 | |
11 | |
8 |