Don't miss your chance to take the Fabric Data Engineer (DP-700) exam on us!
Learn moreWe've captured the moments from FabCon & SQLCon that everyone is talking about, and we are bringing them to the community, live and on-demand. Starts on April 14th. Register now
I am trying to get the duration between two dates in months and I am getting some inconsistent results
e.g.
| start date | end date | duration in months |
| 14 June 2022 | 05 July 2022 | 1 |
| 21 October 2023 | 12 January 2024 | 3 |
The above two durations are incorrect as whole months have not been taken into account.
Dax
Duration = DATEDIFF(start_date, end_date, MONTH)
Solved! Go to Solution.
Hi @akhaliq7 ,
Regarding your question, 'DATEDIFF' calculates the difference between two date months. Even if 'EndDate' is the first day of the new month, it counts as an additional month. You can modify your expression.
Column =
VAR _a = DATEDIFF([start date],[end date],MONTH)
VAR _b = IF(DAY([end date]) >= DAY([start date]) , _a ,_a - 1)
RETURN _b
If my understanding is wrong, please state your expected outcome.
Best Regards,
Wenbin Zhou
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @akhaliq7 ,
Regarding your question, 'DATEDIFF' calculates the difference between two date months. Even if 'EndDate' is the first day of the new month, it counts as an additional month. You can modify your expression.
Column =
VAR _a = DATEDIFF([start date],[end date],MONTH)
VAR _b = IF(DAY([end date]) >= DAY([start date]) , _a ,_a - 1)
RETURN _b
If my understanding is wrong, please state your expected outcome.
Best Regards,
Wenbin Zhou
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
thanks @Anonymous
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.
Share feedback directly with Fabric product managers, participate in targeted research studies and influence the Fabric roadmap.
| User | Count |
|---|---|
| 55 | |
| 39 | |
| 35 | |
| 19 | |
| 17 |
| User | Count |
|---|---|
| 73 | |
| 70 | |
| 37 | |
| 35 | |
| 26 |