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!Calling all Data Engineers! Fabric Data Engineer (Exam DP-700) live sessions are back! Starting October 16th. Sign up.
Hi guys,
I've the following table:
The column "Group" has categorical values. I'd like to highlight the entire row once a specific condition is met. The condition would be that the column "Group" contains a specific name. For example, Group = Pepsi --> Highlight entire row.
Any idea how I could do this?
Thanks in advance
Solved! Go to Solution.
Hi @Anonymous ,
You can create a measure and use the new 'Conditional Formating' option where you select formatting by
'Field Value' and in this you choose the measure shown below.
Create a measure.
measure=
IF (HASONEVALUE(table[group])
,IF( FIRSTNONBLANK('table'[group] , 0) = "Pepsi"
,"lightgreen"
,"white"
)
,BLANK()
)
If I have misunderstood your meaning, please provide more details with your desired output and pbix file without privacy information.
Best Regards
Community Support Team _ Polly
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Thank you! It works perfectly!
Hi @Anonymous ,
You can create a measure and use the new 'Conditional Formating' option where you select formatting by
'Field Value' and in this you choose the measure shown below.
Create a measure.
measure=
IF (HASONEVALUE(table[group])
,IF( FIRSTNONBLANK('table'[group] , 0) = "Pepsi"
,"lightgreen"
,"white"
)
,BLANK()
)
If I have misunderstood your meaning, please provide more details with your desired output and pbix file without privacy information.
Best Regards
Community Support Team _ Polly
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Join the Fabric FabCon Global Hackathon—running virtually through Nov 3. Open to all skill levels. $10,000 in prizes!
Check out the September 2025 Power BI update to learn about new features.