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, I have 3 columns created in a master table called 'Patients' all rows are at patient level. For this example, we label the columns as A, B and C of which contains either Yes or No alongside their respective unique patientID.
I wish to build a 4th column D in the Patients table (again returning Yes or No) using the logic below
Column D = Patients in A plus Patients in B minus Patients in C.
Can you assist?
Josh
Solved! Go to Solution.
Hi @jos818 ,
Please try the below logic for your calculated column:
Group D = IF(('table'[Group A] = "Yes" || 'table'[Group B] = "Yes" ) && 'table'[Group C] = "No", "Yes", "No")
Below is the result:
Give a Thumbs Up if this post helped you in any way and Mark This Post as Solution if it solved your query !!!
Hi @jos818 ,
Please try:
D = IF([A]="Yes"&&[B]="Yes"&&[C]="Yes","Yes","No")
Final output:
Best Regards,
Jianbo Li
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
apologies I can see the confusion. To clarify the ask with dummy numbers as follows.
I wish to create group D whereby they are either in group A or group B and not in group C.
eg. group A has 2000 patients, group B has 5000 patients, group C has 4000 patients. so group D will only return 3000 patients (with yeses)
Hi @jos818 ,
Please try the below logic for your calculated column:
Group D = IF(('table'[Group A] = "Yes" || 'table'[Group B] = "Yes" ) && 'table'[Group C] = "No", "Yes", "No")
Below is the result:
Give a Thumbs Up if this post helped you in any way and Mark This Post as Solution if it solved your query !!!
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.