Forum Discussion
CountIf in PB
Hello, i have a database just like this one in Excel
In this situation i can use COUNTIF in the OrderId column, but in power bi i cant figure out how to translate this to a calculate funtion or even in M language, is there any way to do something like this "CountIf column"?
Thanks
PowerBI File
Hi Anonymous ,
According to my understanding, you want to calculate the count per OrderID, right?
You could use the following formula:
CountPerOrderId = CALCULATE ( COUNTROWS ( 'CountIf' ), ALLEXCEPT ( CountIf, CountIf[OrderId] ) )My visualization looks like this:
For more useful information ,you could refer to: https://goodly.co.in/countif-power-bi-dax/
Is the result what you want? If you have any questions, please upload some data samples and expected output.
Please do mask sensitive data before uploading.
Best Regards,
Eyelyn Qin
4 Replies
- Greg_Deckler
Community Champion
Anonymous - According to Excel to DAX Translation: https://community.powerbi.com/t5/Community-Blog/Excel-to-DAX-Translation/ba-p/1060991
COUNTIF is here: https://community.powerbi.com/t5/Community-Blog/CO-CU-Excel-to-DAX-Translation/ba-p/1080018#M2077
And is:
COUNTX(FILTER(...)...) or CALCULATE(COUNT(),FILTER(...))
- mahoneypat
Microsoft Employee
You can use this expression in a measure to get the count of rows with the same OrderID
Count Same ID = CALCULATE(COUNTROWS(Table), ALLEXCEPT(Table, Table[OrderId]))
Use it in a table visual with the OrderId column. Replace Table with the actual table name.
If this works for you, please mark it as the solution. Kudos are appreciated too. Please let me know if not.
Regards,
Pat
Hi Anonymous ,
According to my understanding, you want to calculate the count per OrderID, right?
You could use the following formula:
CountPerOrderId = CALCULATE ( COUNTROWS ( 'CountIf' ), ALLEXCEPT ( CountIf, CountIf[OrderId] ) )My visualization looks like this:
For more useful information ,you could refer to: https://goodly.co.in/countif-power-bi-dax/
Is the result what you want? If you have any questions, please upload some data samples and expected output.
Please do mask sensitive data before uploading.
Best Regards,
Eyelyn Qin
