Advance your Data & AI career with 50 days of live learning, dataviz contests, hands-on challenges, study groups & certifications and more!
Get registeredJoin 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.
I have a table with a number of columns (see picture). What I want to do is create one or two new columns based on the values of Column1. I want to have the values from like rowno 1,3,5 etc in a new column, they are all dates. As you can see the rest of the data in the table are all the same so I have duplicate values except for Column1,
I've also added columns at the end, index, index with mod and sub index,
What is the best approach to accomplish this?
/Magnus
Solved! Go to Solution.
I created a new modulo column with 2 row interval. Then I created a custom column, if modulo index is 0 then get the value from Column1 otherwise set null. Then a new custom column checking if modulo index is 1 then get from Column1. After that I filled up the values for the second column. After that I filtered out the rows with modulo index = 1 🙂 The result looks like this
Hello-
I am not 100% sure what you are looking for but I thought it would be a good idea for to play around with the Pivot and Unpivot columns in the transform and modeling sections. This will likely give you the functionality you need.
Jared
I created a new modulo column with 2 row interval. Then I created a custom column, if modulo index is 0 then get the value from Column1 otherwise set null. Then a new custom column checking if modulo index is 1 then get from Column1. After that I filled up the values for the second column. After that I filtered out the rows with modulo index = 1 🙂 The result looks like this
Join the Fabric FabCon Global Hackathon—running virtually through Nov 3. Open to all skill levels. $10,000 in prizes!
Check out the October 2025 Power BI update to learn about new features.
| User | Count |
|---|---|
| 76 | |
| 38 | |
| 31 | |
| 27 | |
| 26 |