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!Vote for your favorite vizzies from the Power BI Dataviz World Championship submissions. Vote now!
Example data is below.
| Date | Item |
| 1/5/2024 | XX |
| 1/20/2024 | XX |
| 1/20/2024 | XX |
| 1/15/2024 | XY |
| 1/20/2024 | XY |
| 1/25/2024 | XY |
I am trying to group by Item and compare the original date (earliest date) with the modified date to see how much delay was caused.
How can I group by Item and compare the dates? Thanks
Ideally, a third column would have something like this (in days):
| Difference |
| blank() |
| 15 |
| 0 |
| blank() |
| 5 |
| 5 |
Solved! Go to Solution.
Here's a Power Query solution:
1. Group by Item and add columns Min Date and All (all rows):
2. Click the double arrow on the All column and select Date:
3. Add a custom column Delay:
Duration.Days([Date] - [Min Date])
4. Result:
Proud to be a Super User!
Here's a Power Query solution:
1. Group by Item and add columns Min Date and All (all rows):
2. Click the double arrow on the All column and select Date:
3. Add a custom column Delay:
Duration.Days([Date] - [Min Date])
4. Result:
Proud to be a Super User!
Vote for your favorite vizzies from the Power BI World Championship submissions!
If you love stickers, then you will definitely want to check out our Community Sticker Challenge!
Check out the January 2026 Power BI update to learn about new features.
| User | Count |
|---|---|
| 58 | |
| 53 | |
| 43 | |
| 17 | |
| 16 |
| User | Count |
|---|---|
| 123 | |
| 107 | |
| 44 | |
| 32 | |
| 24 |