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Solved: CALCULATE and DISTINCTCOUNT with condition - Microsoft Fabric . . . Hi all, I have a table that looks similar like the table you can see below In column "Total" I can see the number of products a customer bought What I want to know is, how many customers are there who bought products of a different kind (cross-sell > e g P1 and P2) For now I have a formula m
Power BI (DAX): Distinct Count Filtered by Condition Here is a measure formula that I attempted: DistCountActiveMonths = CALCULATE(DISTINCTCOUNT('Net Revenue Data'[Publisher Name]),FILTER('Net Revenue Data','Net Revenue Data'[Active Month]=1)) Please advise how to correct this formula to achieve the desired result, e g : excel;
Solved: Using ALLSELECTED and DISTINCTCOUNT - Microsoft Fabric Community Calculate the number of unique clientes attended by every personel divided by the total amount of distinct clientes that have been attended Here are the steps you can follow： 1 Create measure measure1 = CALCULATE(DISTINCTCOUNT('Table'[Client Name]),FILTER(ALLSELECTED('Table'),'Table'[Location]=MAX('Table'[Location])))
Power BI: How to Count Distinct Values with Filter - Statology You can use the following syntax in DAX to count the number of distinct values in a column of a table after applying a filter: Distinct Points = CALCULATE ( DISTINCTCOUNT ( 'my_data'[Points] ), FILTER ( 'my_data', 'my_data'[Team] = "C" ) ) This particular example creates a new measure named Distinct Points that counts the distinct number of values in the Points column of the table, filtered
ALLSELECTED and CALCULATE inside SUMX vs plain CALCULATE This measure just counts the distinct values of Customer_ID dependent by the context Unique_Customer_Simple = CALCULATE( DISTINCTCOUNT('dataset'[Customer_ID])) This one, counts the distinct values of Customer_ID but taking down the context filter of date but keeping the outside filters