This time we’re going bigger than ever. Fabric, Power BI, SQL, AI and more. We're covering it all. You won't want to miss it.
Learn moreLevel up your Power BI skills this month - build one visual each week and tell better stories with data! Get started
I have two columns, request id and status. Requests can have multiple statuses:
Request ID Status
1 1
1 2
1 3
2 1
2 2
3 2
3 3
My problem: I have been attempting to determine how to filter a visual whose logic would display all requests and status for any request id who has a status of 3 at any point. Thus, the resulting outcome for the above data would be:
Request ID Status
1 1
1 2
1 3
3 2
3 3
A simple slicer on the status would only keep those for status 3 and not all entries for Request ID that have status 3 at some point. It seems like an incredibly basic issue but I am struggling to address it. Perhaps a calculated column that determines if 3 exists for a request id and then filter on that calculated column?
Solved! Go to Solution.
Hi @dividebyzero,
@Anonymous measure would work in any table visual where the values are discrete, but if you want to have other type of visuals it's better to create a calculated column doing the test you're asking for.
The simpler I can thing would be:
hasStatus =
VAR r = [Request ID]
RETURN
CALCULATE (
COUNTROWS ( Table ),
FILTER ( ALL ( Table ), Table[Request ID] = r && Table[Status] = 3 )
)And then filter for the ones that are not blank
If you want a True/False solution, it's achievable by adding an extra step
hasStatus =
VAR r = [Request ID]
VAR t =
CALCULATE (
COUNTROWS ( Table ) + 0,
FILTER ( ALL ( Table ), Table[Request ID] = r && Table[Status] = 3 )
)
RETURN
IF ( t = 0, FALSE (), TRUE () )
I ended up solving the problem on my own, but as both of these work, I will accept the one that allows for data viz outside of table. How I solved the problem:
Query Editor -> Duplicate table -> Filter Duplicated table on the basis of status = 3 -> Merge query right outer join on new table
This may not be ideal for performance, but the data isn't terribly large, so I am not too concerned.
Hi @dividebyzero,
@Anonymous measure would work in any table visual where the values are discrete, but if you want to have other type of visuals it's better to create a calculated column doing the test you're asking for.
The simpler I can thing would be:
hasStatus =
VAR r = [Request ID]
RETURN
CALCULATE (
COUNTROWS ( Table ),
FILTER ( ALL ( Table ), Table[Request ID] = r && Table[Status] = 3 )
)And then filter for the ones that are not blank
If you want a True/False solution, it's achievable by adding an extra step
hasStatus =
VAR r = [Request ID]
VAR t =
CALCULATE (
COUNTROWS ( Table ) + 0,
FILTER ( ALL ( Table ), Table[Request ID] = r && Table[Status] = 3 )
)
RETURN
IF ( t = 0, FALSE (), TRUE () )
I ended up solving the problem on my own, but as both of these work, I will accept the one that allows for data viz outside of table. How I solved the problem:
Query Editor -> Duplicate table -> Filter Duplicated table on the basis of status = 3 -> Merge query right outer join on new table
This may not be ideal for performance, but the data isn't terribly large, so I am not too concerned.
Hi @dividebyzero,
You can write a measure to check current item to return tag if it existed specific status, then apply this measure to visual level filter to filter records.
Sample measure:
Measure 2 =
VAR list =
CALCULATETABLE ( VALUES ( Test[T1] ), Test[T2] = 3 )
RETURN
IF ( SELECTEDVALUE ( Test[T1] ) IN list, "Y", "N" )
Regards,
Xiaoxin Sheng
Check out the April 2026 Power BI update to learn about new features.
Sign up to receive a private message when registration opens and key events begin.
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
| User | Count |
|---|---|
| 36 | |
| 29 | |
| 29 | |
| 21 | |
| 18 |
| User | Count |
|---|---|
| 71 | |
| 43 | |
| 33 | |
| 24 | |
| 23 |