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!The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now! Learn more
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
The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now!
Check out the November 2025 Power BI update to learn about new features.
| User | Count |
|---|---|
| 66 | |
| 47 | |
| 43 | |
| 26 | |
| 19 |
| User | Count |
|---|---|
| 198 | |
| 126 | |
| 102 | |
| 68 | |
| 51 |