Join us at FabCon Atlanta from March 16 - 20, 2026, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.
Register now!The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now! Learn more
FilteredProjects =
FILTER (
gold_procon_projekte_historical,
gold_procon_projekte_historical[valid_from] <= SELECTEDVALUE(gold_procon_stammdaten[stamm_daten]) &&
(
gold_procon_projekte_historical[valid_to] >= SELECTEDVALUE(gold_procon_stammdaten[stamm_daten]) ||
ISBLANK(gold_procon_projekte_historical[valid_to]) &&
gold_procon_projekte_historical[is_current] = TRUE()
)
)
Solved! Go to Solution.
@andicornejo12 - Try this:
FILTER (
ALL(gold_procon_projekte_historical[valid_from], gold_procon_projekte_historical[valid_to], gold_procon_projekte_historical[is_current]),
gold_procon_projekte_historical[valid_from] <= SELECTEDVALUE(gold_procon_stammdaten[stamm_daten]) &&
(
gold_procon_projekte_historical[valid_to] >= SELECTEDVALUE(gold_procon_stammdaten[stamm_daten]) ||
ISBLANK(gold_procon_projekte_historical[valid_to]) &&
gold_procon_projekte_historical[is_current] = TRUE()
)
)
Essentially I'm applying the filters to the specific columns inside the ALL(), rather than the whole table.
If this works for you, please accept it as the solution, it will helpwith visibility for others with the same problem.
hello @mark_endicott
Thank you so much for your answer. Unfortunately I keep getting the same error message:
@andicornejo12 - Are you attempting to use this DAX in a measure?
If so, that's likely to the problem. At the table level, the result for the flag could be both TRUE and FALSE based on the row, and a measure requires a scalar value.
If you are using a measure, try this:
VAR _table =
ADDCOLUMNS (
gold_procon_projekte_historical,
"@flag",
IF (
gold_procon_projekte_historical[valid_from]
<= SELECTEDVALUE ( gold_procon_stammdaten[stamm_daten] )
&& (
gold_procon_projekte_historical[valid_to]
>= SELECTEDVALUE ( gold_procon_stammdaten[stamm_daten] )
|| ISBLANK ( gold_procon_projekte_historical[valid_to] )
&& gold_procon_projekte_historical[is_current] = TRUE ()
),
1,
0
)
)
RETURN
MAXX ( _table, [@flag] )
It will change your flag to a integer of 1 or 0, but it can now be applied at the row level. I have tested it and it appears to be working fine for me:
@andicornejo12 - Try this:
FILTER (
ALL(gold_procon_projekte_historical[valid_from], gold_procon_projekte_historical[valid_to], gold_procon_projekte_historical[is_current]),
gold_procon_projekte_historical[valid_from] <= SELECTEDVALUE(gold_procon_stammdaten[stamm_daten]) &&
(
gold_procon_projekte_historical[valid_to] >= SELECTEDVALUE(gold_procon_stammdaten[stamm_daten]) ||
ISBLANK(gold_procon_projekte_historical[valid_to]) &&
gold_procon_projekte_historical[is_current] = TRUE()
)
)
Essentially I'm applying the filters to the specific columns inside the ALL(), rather than the whole table.
If this works for you, please accept it as the solution, it will helpwith visibility for others with the same problem.
hello @mark_endicott
Thank you so much for your answer. Unfortunately I keep getting the same error message:
Thanks so much!
Yes it did work for me too 😊
@andicornejo12 - Are you attempting to use this DAX in a measure?
If so, that's likely to the problem. At the table level, the result for the flag could be both TRUE and FALSE based on the row, and a measure requires a scalar value.
If you are using a measure, try this:
VAR _table =
ADDCOLUMNS (
gold_procon_projekte_historical,
"@flag",
IF (
gold_procon_projekte_historical[valid_from]
<= SELECTEDVALUE ( gold_procon_stammdaten[stamm_daten] )
&& (
gold_procon_projekte_historical[valid_to]
>= SELECTEDVALUE ( gold_procon_stammdaten[stamm_daten] )
|| ISBLANK ( gold_procon_projekte_historical[valid_to] )
&& gold_procon_projekte_historical[is_current] = TRUE ()
),
1,
0
)
)
RETURN
MAXX ( _table, [@flag] )
It will change your flag to a integer of 1 or 0, but it can now be applied at the row level. I have tested it and it appears to be working fine for me:
Check out the November 2025 Power BI update to learn about new features.
Advance your Data & AI career with 50 days of live learning, contests, hands-on challenges, study groups & certifications and more!
| User | Count |
|---|---|
| 21 | |
| 10 | |
| 9 | |
| 4 | |
| 4 |
| User | Count |
|---|---|
| 34 | |
| 31 | |
| 20 | |
| 13 | |
| 12 |