This time we’re going bigger than ever. Fabric, Power BI, SQL, AI and more. We're covering it all. You won't want to miss it.
Learn moreGet Fabric Certified for FREE during AI Skills Fest. This week only. Secure your voucher now.
I am trying to achieve something in both PowerBI and Excel
Basically i have some data:
| Sales Person | Product | Spent | 2023 | 2024 | 2025 | 2026 |
| Simon | One | 2,500.00 | 2,125.00 | 2,125.00 | 2,125.00 | 452.00 |
| Simon | Two | 125.00 | 2,215.00 | 215.00 | ||
| John | One | 2,203.00 | 225.00 | |||
| John | Two | 2,335.00 | 2,024.00 | |||
| John | Three | 112.00 | 3,225.00 | 2,125.00 | ||
| Peter | One | 2,025.00 | 3,354.00 | 3,220.00 | 2,152.00 | |
| Peter | Two | 253.00 | 252.00 |
I have formatted the data and unpivoted the data in the years
The result i get in Excel is:
| Sales Person | Spent | 2023 | 2024 | 2025 | 2026 | Grand Total |
| John | (blank) | 4,650.00 | 3,450.00 | 2,024.00 | 2,125.00 | 12,249.00 |
| Peter | (blank) | 2,278.00 | 3,606.00 | 3,220.00 | 2,152.00 | 11,256.00 |
| Simon | 125 | 2,215.00 | 215.00 | 2,430.00 | ||
| Simon | 2500 | 2,125.00 | 2,125.00 | 2,125.00 | 452.00 | 6,827.00 |
| Grand Total | 11,268.00 | 9,181.00 | 7,584.00 | 4,729.00 | 32,762.00 |
The issue is the rows for "Simon" are split out for each row of "Spent"
What i really want to achieve in PowerBI and Excel is a table that looks like this:
| Sales Person | Spent | 2023 | 2024 | 2025 | 2026 | Grand Total |
| John | (blank) | 4,650.00 | 3,450.00 | 2,024.00 | 2,125.00 | 12,249.00 |
| Peter | (blank) | 2,278.00 | 3,606.00 | 3,220.00 | 2,152.00 | 11,256.00 |
| Simon | 2,625.00 | 4,340.00 | 2,125.00 | 2,340.00 | 452.00 | 9,257.00 |
| Grand Total | 2,625.00 | 11,268.00 | 9,181.00 | 7,584.00 | 4,729.00 | 32,762.00 |
Could someone help me please?
Thanks
Solved! Go to Solution.
Hi @TimK ,
From your description it sounds like you have just missed the transformation to unpivot the 'spent' column as well as the years? Just apply the same transformation logic you are using for years to the 'spent' column.
Hope this helps.
Hi @TimK ,
From your description it sounds like you have just missed the transformation to unpivot the 'spent' column as well as the years? Just apply the same transformation logic you are using for years to the 'spent' column.
Hope this helps.
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 |
|---|---|
| 25 | |
| 24 | |
| 22 | |
| 21 | |
| 19 |
| User | Count |
|---|---|
| 51 | |
| 48 | |
| 44 | |
| 21 | |
| 21 |