Don't miss your chance to take the Fabric Data Engineer (DP-600) exam for FREE! Find out how by watching the DP-600 session on-demand now through April 28th.
Learn moreJoin the FabCon + SQLCon recap series. Up next: Power BI, Real-Time Intelligence, IQ and AI, and Data Factory take center stage. All sessions are available on-demand after the live show. Register now
Hello everyone,
I am trying to calculate aging of status dynamically based on current date and first date of occurence.
In the below example, the first 3 cols are available in the source data and I need help in calculating "Latest_Status" and "Status_Aging".
Latest_Status: By Serial_Number, Status based on max(Updated_Date). For 100, Latest_Status=Critical since max(Updated_Date)=3/2/2023 and the Status is Critical.
Status_Aging: I need to calculate aging of each categories in Status column by Serial_Number based on when it occured first. For Serial_Number 100, Critical first appeared on 2/28/2023 hence aging =0 for that day, 1 on 3/1/2023 and 2 on 3/2/2023.
Both these calculations must be dynamic based on dates and status.
| Serial_Number | Updated_Date | Status | Latest_Status | Status_Aging |
| 100 | 3/2/2023 | Critical | Critical | 2 |
| 100 | 3/1/2023 | Critical | Critical | 1 |
| 100 | 2/28/2023 | Critical | Critical | 0 |
| 100 | 2/27/2023 | High | Critical | 0 |
| 100 | 2/26/2023 | Moderate | Critical | 0 |
| 100 | 2/25/2023 | Low | Critical | 1 |
| 100 | 2/24/2023 | Low | Critical | 0 |
| 200 | 2/20/2023 | Moderate | Moderate | 0 |
| 300 | 2/10/2023 | High | High | 3 |
| 300 | 2/9/2023 | High | High | 2 |
| 300 | 2/8/2023 | High | High | 1 |
| 300 | 2/7/2023 | High | High | 0 |
| 300 | 2/6/2023 | Low | High | 4 |
| 300 | 2/5/2023 | Low | High | 3 |
| 300 | 2/4/2023 | Low | High | 2 |
| 300 | 2/3/2023 | Low | High | 1 |
| 300 | 2/2/2023 | Low | High | 0 |
Solved! Go to Solution.
Based on your description, I created data to reproduce your scenario. The pbix file is attached in the end.
https://1drv.ms/u/s!AiUZ0Ws7G26Rhg7-ZkuSfG9VrW3a?e=CMtTvs
@Ahmedx Thanks for the solution. This solution works now but if the updated date is not present for 02.03.2023 and it is available on 03.03.2023, your calculation is skipping the day and assinging values based on rankx. In the below example: ML_Updated_Date is missing for 02.03.2023. Ideally status aging should be 2 for 02.03.2034 and 3 for 03.03.2023.
Based on your description, I created data to reproduce your scenario. The pbix file is attached in the end.
https://1drv.ms/u/s!AiUZ0Ws7G26Rhg7-ZkuSfG9VrW3a?e=CMtTvs
Check out the April 2026 Power BI update to learn about new features.
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
A new Power BI DataViz World Championship is coming this June! Don't miss out on submitting your entry.
| User | Count |
|---|---|
| 42 | |
| 38 | |
| 33 | |
| 21 | |
| 15 |
| User | Count |
|---|---|
| 64 | |
| 59 | |
| 31 | |
| 27 | |
| 25 |