Forum Discussion
Dax version of excel Match function
Good morning
I have 4 columns where I make decisions based on which column has the lowest value. I currently use the Match() function within Excel to do this, however, I am moving into a SQL environment and connecting my new database to PowerBi. How can I replicate the same functionality within Powerbi, in that I can identify which column has the lowest value? The returned value can be the column name or a numerical value.
Any assistance is greatly appreciated.
Allan
Hi Anonymous ,
I'd suggest to unpivot the columns first as they suggested here:
Solved: Minimum Value across multiple columns - Microsoft Power BI Community
Here a quick example:
Then you unvpivot all columns that you wish to compare with each other to find the minimum value:
You would end up with something like this:
Lastly, create a measure in DAX like below:
ResultMeasure = VAR _minValue = CALCULATE ( MIN ( Table[Value] ), Table[Value] <> 0 ) RETURN CONCATENATEX ( FILTER ( Table, Table[Value] = _minValue ), Table45[Attribute.1], ", " )And you get the following result:
Let me know if this helps 🙂
/Tom
https://www.tackytech.blog/
https://www.instagram.com/tackytechtom/
2 Replies
- tackytechtomMost Valuable Professional
Hi Anonymous ,
I'd suggest to unpivot the columns first as they suggested here:
Solved: Minimum Value across multiple columns - Microsoft Power BI Community
Here a quick example:
Then you unvpivot all columns that you wish to compare with each other to find the minimum value:
You would end up with something like this:
Lastly, create a measure in DAX like below:
ResultMeasure = VAR _minValue = CALCULATE ( MIN ( Table[Value] ), Table[Value] <> 0 ) RETURN CONCATENATEX ( FILTER ( Table, Table[Value] = _minValue ), Table45[Attribute.1], ", " )And you get the following result:
Let me know if this helps 🙂
/Tom
https://www.tackytech.blog/
https://www.instagram.com/tackytechtom/- AnonymousNot applicable
Thank you so much for the concise answer and it is greatly appreciated. I will build this in and get to work.
Weirdly excited to try this out lol
Cheers