Don't miss your chance to take the Fabric Data Engineer (DP-600) exam for FREE! Find out how by watching the DP-600 session on-demand now through April 28th.
Learn moreJoin the FabCon + SQLCon recap series. Up next: Power BI, Real-Time Intelligence, IQ and AI, and Data Factory take center stage. All sessions are available on-demand after the live show. Register now
Hi,
I would like to use distinct count which excludes the values in 2 filters
Here are the 2 filters :
Filter(all(table), LEFT(Table[ColumnName],1)="R")
Filter(all(table), LEFT(Table[ColumnName],2)="CR")
| ColumnName |
| R0000ER23 |
| R0000ER25 |
| R0000ER22 |
| CR099DF12 |
| CR099CV12 |
| CR099ER34 |
| CR099ER40 |
| WP000022 |
| WP000023 |
| WP000023 |
The return result should be 2 (WP000022, WP000023).
Thank you in advance.
Tg
Solved! Go to Solution.
@vnqtrang , Try like
Measure = distinctCOUNT(Table[ColumnName]) -
calculate(distinctCOUNT(Table[ColumnName]), Filter((table), LEFT(Table[ColumnName],1)="R" || LEFT(Table[ColumnName],2)="CR") )
Measure =
calculate(distinctCOUNT(Table[ColumnName]), Filter((table), not( LEFT(Table[ColumnName],1)="R" || LEFT(Table[ColumnName],2)="CR")) )
or
Measure =
calculate(COUNT(Table[ColumnName]), Filter((table), not( LEFT(Table[ColumnName],1)="R" || LEFT(Table[ColumnName],2)="CR")) )
@vnqtrang , Create this measure and plot it with columnname
calculate(distinctCOUNT(Table[ColumnName]), Filter((table), LEFT(Table[ColumnName],1)="R" || LEFT(Table[ColumnName],2)="CR") )
This one shows the filtered values. I would like to count the other values except these 2 filtered values. Hope I clear enough.
@vnqtrang , Try like
Measure = distinctCOUNT(Table[ColumnName]) -
calculate(distinctCOUNT(Table[ColumnName]), Filter((table), LEFT(Table[ColumnName],1)="R" || LEFT(Table[ColumnName],2)="CR") )
Measure =
calculate(distinctCOUNT(Table[ColumnName]), Filter((table), not( LEFT(Table[ColumnName],1)="R" || LEFT(Table[ColumnName],2)="CR")) )
or
Measure =
calculate(COUNT(Table[ColumnName]), Filter((table), not( LEFT(Table[ColumnName],1)="R" || LEFT(Table[ColumnName],2)="CR")) )
Thank you !
Check out the April 2026 Power BI update to learn about new features.
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
A new Power BI DataViz World Championship is coming this June! Don't miss out on submitting your entry.
| User | Count |
|---|---|
| 43 | |
| 38 | |
| 35 | |
| 21 | |
| 15 |
| User | Count |
|---|---|
| 63 | |
| 58 | |
| 28 | |
| 27 | |
| 25 |