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
Hello - I need to create a data validation check column as below
So, If any of the cells are missing the information then the result should return missing information else ok.
Solved! Go to Solution.
You can do it as a conditional column in Power Query
or write a DAX measure like this ...
SWITCH(TRUE(),
SELECTEDVALUE(Table(Clientname) = BLANK(), "Missing Infomation",
SELECTEDVALUE(Table(Type)) = BLANK(), "Missing Infomation",
SELECTEDVALUE(Table(Name)) = BLANK(), "Missing Infomation",
SELECTEDVALUE(Table(Email)) = BLANK(), "Missing Infomation",
SELECTEDVALUE(Table(Phone)) = BLANK(), "Missing Infomation",
"OK"
)
Please click the thumbs up and Accept As Solution. Thank you 😀
You can do it as a conditional column in Power Query
or write a DAX measure like this ...
SWITCH(TRUE(),
SELECTEDVALUE(Table(Clientname) = BLANK(), "Missing Infomation",
SELECTEDVALUE(Table(Type)) = BLANK(), "Missing Infomation",
SELECTEDVALUE(Table(Name)) = BLANK(), "Missing Infomation",
SELECTEDVALUE(Table(Email)) = BLANK(), "Missing Infomation",
SELECTEDVALUE(Table(Phone)) = BLANK(), "Missing Infomation",
"OK"
)
Please click the thumbs up and Accept As Solution. 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 |
|---|---|
| 48 | |
| 40 | |
| 38 | |
| 20 | |
| 17 |
| User | Count |
|---|---|
| 68 | |
| 65 | |
| 30 | |
| 26 | |
| 25 |