Forum Discussion
Anonymous
7 years agoNot applicable
Distinct Count based on 2 columns in same table
I've seen many variations of this question and every answer I've seen doesn't work for me. It's driving me crazy. I hate DAX because this should be so simple! (like it is in SQL and Excel) Ulti...
- 7 years ago
I'm not sure I understand the block here. What's keeping you from filtering on CustCount? It was very easy to add this filter:
If you're trying to use this value in a slicer, just add calculated columns to your data and use those instead:
CustCountColumn = CALCULATE( COUNTROWS(RawData), FILTER(RawData, RawData[Address]=EARLIER(RawData[Address]) && RawData[Customer] = EARLIER(RawData[Customer])))
CustCountCol = CALCULATE( COUNTROWS(RawData), FILTER(RawData, RawData[Customer] = EARLIER(RawData[Customer])))
Cmcmahan
7 years agoResident Rockstar
I'm not sure I understand the block here. What's keeping you from filtering on CustCount? It was very easy to add this filter:
If you're trying to use this value in a slicer, just add calculated columns to your data and use those instead:
CustCountColumn = CALCULATE( COUNTROWS(RawData), FILTER(RawData, RawData[Address]=EARLIER(RawData[Address]) && RawData[Customer] = EARLIER(RawData[Customer])))
CustCountCol = CALCULATE( COUNTROWS(RawData), FILTER(RawData, RawData[Customer] = EARLIER(RawData[Customer])))
Anonymous
7 years agoNot applicable
Those two formulae are exactly what I was looking for, Cmcmahan , thanks! I was able to use those two and divide them, then filter out the columns that are 100% matches.