Get certified for free when you join Fabric Data Days 2026 and dive into Fabric, Power BI, SQL, AI, and other essential data skills.
Join nowTry your skills in the Power BI Dataviz World Championship! Round one ends June 26. Join now
I have a table with multiple rows per unique ID, and some columns which reference "flags" (basically a 1 or 0) that something has occurred relative to that ID. Due to the way the data is structured, there can bemultiple instances of a flag showing up for each ID:
ID ColA ColB ColC
31 1 1 0
31 0 1 0
31 1 1 0
144 1 0 0
144 1 0 0
144 1 0 0
26 0 0 0
26 0 0 1
But I don't care if the "1" shows up multiple times for each ID --- I want to add three columns which basically indicates, for each ID, whether or not a flag has occurred there ever (as indicated by the "1"). Call them ColA_Flag, ColB_Flag, and ColC_Flag.
So for ID 31, there would be a "yes" for Col A amd Col B, but a "no" for Col C.
So it would look like this:
ID ColA ColB ColC FlagA FlagB FlagC
31 1 1 0 Yes Yes No
31 0 1 0 Yes Yes No
31 1 1 0 Yes Yes No
144 1 0 0 Yes No No
144 1 0 0 Yes No No
144 1 0 0 Yes No No
26 0 0 0 No No Yes
26 0 0 1 No No Yes
Any help is appreciated!
Solved! Go to Solution.
You can use Min / Max
Thanks! Worked great!
| User | Count |
|---|---|
| 24 | |
| 22 | |
| 22 | |
| 21 | |
| 13 |
| User | Count |
|---|---|
| 67 | |
| 56 | |
| 45 | |
| 42 | |
| 30 |