This is best Fabric, Power BI, SQL and AI community event. How do we know? The last event sold out! Save €200 with code FABCMTY200.
Register nowA new Data Days event is coming soon! This time we’re going bigger than ever. Fabric, Power BI, SQL, AI and more. Don't miss out.
Hi, I have a monthly budget table contains project id, Jan Budget, Jan Forecast and so on till Dec. Each month will have two columns Budget and Forecast, whenever the month passed, we will rename Forecast to Actual (Jan Forecast --> Jan Actual). Budget column will remain intact. Now when we change the column name, power query will give error "Column not found" because of rename.
So, please suggest, how would i handle this issue to avoid future errors ?
Thanks
Solved! Go to Solution.
Hi, @vijayvizzu
You obviously used 'pivot' in your table, and the column name you mentioned is no longer in the table presented at the end. What kind of results do you want to get in the picture you displayed?
Best Regards
Janey Guo
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
My data looks like as below, please suggest
@vijayvizzu
The first point I note here is that you should never have pivoted data in your tables, it should always be in unpivoted format. Jan, Feb, etc. are not supposed to be columns they must be in a column named Month Names, preferably in a date table. SAme goes with actual and forecast could be arranged in columns. Please refer to these videos on how to handle them:
https://www.youtube.com/watch?v=Vff2kRBM95o
⭕ Subscribe and learn Power BI from these videos
⚪ Website ⚪ LinkedIn ⚪ PBI User Group
Check out the May 2026 Power BI update to learn about new features.
Sign up to receive a private message when registration opens and key events begin.
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
| User | Count |
|---|---|
| 27 | |
| 26 | |
| 22 | |
| 19 | |
| 17 |
| User | Count |
|---|---|
| 48 | |
| 46 | |
| 41 | |
| 21 | |
| 18 |