Forum Discussion
Filter Multiple Columns for multiple filter options to create a Measure
- 5 years ago
Hi, acerNZ
According to your case link, I can understand your requirement clearly now, you can try this measure:
Min count = var _col1=COUNTX(FILTER(ALL('Table'),[Col1] in {"Yes","Not sure"}),[Col1]) var _col2=COUNTX(FILTER(ALL('Table'),[Col2]<>"Not sure"&&[Col2] in {"Yes","Parked"}),[Col2]) var _col3=COUNTX(FILTER(ALL('Table'),[Col3]<>"No order"&&[Col3] in {"No","New York"}),[Col3]) return IF(_col1<=_col2,IF(_col1<=_col3,_col1),IF(_col2<=_col3,_col2,_col3))Then place the measure into a card chart to check if the value can be correct(My result is based on my test data):
You can download my test pbix file below
If this result is not what you want, you can post some sample data(without sensitive data) and your expected result.
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Thank you very much!
Best Regards,
Community Support Team _Robert Qin
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
acerNZ , Two tbale values can not be and , they need Or or IN
example
CombineMeasure = CALCULATE(COUNT(Table[COL1]),FILTER(Table,(Table[Col1] in {"Yes", "Not Sure"})))
CombineMeasure = CALCULATE(COUNT(Table[COL1]),FILTER(Table,(Table[Col1] in {"Yes", "Not Sure"})))
1 or 2
CombineMeasure = CALCULATE(COUNT(Table[COL1]),FILTER(Table,(Table[Col1] in {"Yes", "Not Sure"}) || (Table[Col2]="Yes" || Table[Col2]<>"Not Sure" || Table[Col2]="Parked") ))
1 and 2
CombineMeasure = CALCULATE(COUNT(Table[COL1]),FILTER(Table,(Table[Col1] in {"Yes", "Not Sure"}) && (Table[Col2]="Yes" || Table[Col2]<>"Not Sure" || Table[Col2]="Parked") ))
add in this way