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 some issue to shift data from rows to combine to just one row based on a common ID (column A)
Below is my original data set:
| WIP_NO | STAGES | START_TIME | END_TIME | STATUS | QTY | REJECTED_QTY |
| ED8166 | 1 | 02/10/2018 9:05:00 AM | 02/10/2018 9:05:00 AM | 2 | 1 | 0 |
| ED8166 | 2 | 02/10/2018 9:05:00 AM | 02/10/2018 9:05:00 AM | 2 | 1 | 0 |
| ED8166 | 3 | 02/10/2018 9:05:00 AM | 02/10/2018 9:06:00 AM | 2 | 1 | 0 |
| ED8166 | 4 | 02/10/2018 9:06:00 AM | 02/10/2018 9:06:00 AM | 2 | 1 | 0 |
| ED8166 | 5 | 22/10/2018 4:32:00 PM | 22/10/2018 4:33:00 PM | 2 | 1 | 0 |
| ED8166 | 6 | 23/10/2018 9:28:00 AM | 23/10/2018 9:28:00 AM | 2 | 1 | 0 |
| ED8166 | 7 | 24/10/2018 9:55:00 AM | 24/10/2018 9:56:00 AM | 2 | 1 | 0 |
I like to reshape it to something like this:
| WIP_NO | STAGES | START_TIME | END_TIME | STATUS | QTY | REJECTED_QTY | STAGES | START_TIME | END_TIME | STATUS | QTY | REJECTED_QTY | STAGES | START_TIME | END_TIME | STATUS | QTY | REJECTED_QTY | STAGES | START_TIME | END_TIME | STATUS | QTY | REJECTED_QTY | STAGES | START_TIME | END_TIME | STATUS | QTY | REJECTED_QTY | STAGES | START_TIME | END_TIME | STATUS | QTY | REJECTED_QTY | STAGES | START_TIME | END_TIME | STATUS | QTY | REJECTED_QTY |
| ED8166 | 1 | 02/10/2018 9:05:00 AM | 02/10/2018 9:05:00 AM | 2 | 1 | 0 | 2 | 02/10/2018 9:05:00 AM | 02/10/2018 9:05:00 AM | 2 | 1 | 0 | 3 | 02/10/2018 9:05:00 AM | 02/10/2018 9:06:00 AM | 2 | 1 | 0 | 4 | 02/10/2018 9:06:00 AM | 02/10/2018 9:06:00 AM | 2 | 1 | 0 | 5 | 22/10/2018 4:32:00 PM | 22/10/2018 4:33:00 PM | 2 | 1 | 0 | 6 | 23/10/2018 9:28:00 AM | 23/10/2018 9:28:00 AM | 2 | 1 | 0 | 7 | 24/10/2018 9:55:00 AM | 24/10/2018 9:56:00 AM | 2 | 1 | 0 |
Solved! Go to Solution.
Hi @Anonymous
You can use Power Query to do this, it takes three steps, please see the attached file.
Thanks!
It's what Im looking for!
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 | |
| 44 | |
| 40 | |
| 29 | |
| 19 |
| User | Count |
|---|---|
| 200 | |
| 130 | |
| 102 | |
| 72 | |
| 55 |