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!
Hello,
I have the following table loaded in Power Query. I am trying to add a new column called "Category" which would have specific text values based on the following conditions:
1. If Action date is greater than End date, then display text "Late".
2. If Action date is less or equal to End date, then display text "On time".
3. If Action date is missing (null), then display text "No action".
Any help is much appreciated!
| Start date | End date | Action date | Stock | Returns | Defective |
| 01/05/2021 | 01/06/2022 | 01/07/2022 | 6 | 9 | 17 |
| 27/05/2022 | 27/06/2022 | 27/06/2022 | 2 | 5 | 10 |
| 07/08/2022 | 07/09/2022 | 07/08/2022 | 5 | 6 | 15 |
| 08/08/2022 | 08/09/2022 | 3 | 4 | 8 | |
| 12/08/2022 | 20/09/2022 | 22/09/2022 | 2 | 2 | 10 |
| 17/08/2022 | 27/09/2022 | 23/08/2022 | 7 | 8 | 22 |
| 20/08/2022 | 10/10/2022 | 3 | 3 | 13 | |
| 22/08/2022 | 02/09/2022 | 22/09/2022 | 6 | 3 | 18 |
| 29/08/2022 | 09/10/2022 | 02/10/2022 | 3 | 3 | 14 |
| 07/09/2022 | 17/10/2022 | 2 | 7 | 17 | |
| 16/09/2022 | 06/10/2022 | 19/09/2022 | 3 | 7 | 22 |
| 20/10/2022 | 23/11/2022 | 15/11/2022 | 9 | 3 | 16 |
| 23/11/2022 | 02/12/2022 | 23/12/2022 | 7 | 5 | 20 |
| 11/12/2022 | 15/01/2023 | 9 | 8 | 18 | |
| 04/01/2023 | 04/03/2023 | 17/02/2023 | 6 | 7 | 16 |
| 17/02/2023 | 13/03/2023 | 01/03/2023 | 7 | 14 | 34 |
Expected results:
| Start date | End date | Action date | Stock | Returns | Defective | Category |
| 01/05/2021 | 01/06/2022 | 01/07/2022 | 6 | 9 | 17 | Late |
| 27/05/2022 | 27/06/2022 | 27/06/2022 | 2 | 5 | 10 | On time |
| 07/08/2022 | 07/09/2022 | 07/08/2022 | 5 | 6 | 15 | On time |
| 08/08/2022 | 08/09/2022 | 3 | 4 | 8 | No action | |
| 12/08/2022 | 20/09/2022 | 22/09/2022 | 2 | 2 | 10 | Late |
| 17/08/2022 | 27/09/2022 | 23/08/2022 | 7 | 8 | 22 | On time |
| 20/08/2022 | 10/10/2022 | 3 | 3 | 13 | No action | |
| 22/08/2022 | 02/09/2022 | 22/09/2022 | 6 | 3 | 18 | Late |
| 29/08/2022 | 09/10/2022 | 02/10/2022 | 3 | 3 | 14 | On time |
| 07/09/2022 | 17/10/2022 | 2 | 7 | 17 | No action | |
| 16/09/2022 | 06/10/2022 | 19/09/2022 | 3 | 7 | 22 | On time |
| 20/10/2022 | 23/11/2022 | 15/11/2022 | 9 | 3 | 16 | On time |
| 23/11/2022 | 02/12/2022 | 23/12/2022 | 7 | 5 | 20 | Late |
| 11/12/2022 | 15/01/2023 | 9 | 8 | 18 | No action | |
| 04/01/2023 | 04/03/2023 | 17/02/2023 | 6 | 7 | 16 | On time |
| 17/02/2023 | 13/03/2023 | 01/03/2023 | 7 | 14 | 34 | On time |
Solved! Go to Solution.
Hi @Anonymous ,
Try the custom column below.
if [Action date] = null then "No Action" else if [Action date] > [End date] then "Late" else if [Action date] <= [End date] then "On Time" else "No Action"
Did I help you today? Please accept my solution and hit the Kudos button.
Hi @Anonymous ,
Try the custom column below.
if [Action date] = null then "No Action" else if [Action date] > [End date] then "Late" else if [Action date] <= [End date] then "On Time" else "No Action"
Did I help you today? Please accept my solution and hit the Kudos button.
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 |
|---|---|
| 7 | |
| 6 | |
| 4 | |
| 3 | |
| 3 |
| User | Count |
|---|---|
| 14 | |
| 14 | |
| 12 | |
| 7 | |
| 6 |