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!
I am trying to figure out how to get the difference between two dates based on the event.
I have event IDs as follows:
1=Created
2=Activated
3=Respond
4=Resolve
5=Closed
I need to get the days between created (ID1) to either the resolve time (ID4) or if not resolved, the days open as of today's date.
Sample from Current Table:
| item_id | Event_ID | Event_Name | date_hour_local |
| 368901 | 1 | Created | 1/5/2024 |
| 368901 | 2 | Activated | 1/9/2024 |
| 368901 | 3 | Responded | 1/9/2024 |
| 368901 | 4 | Resolved | 1/9/2024 |
| 368902 | 1 | Created | 1/5/2024 |
| 368902 | 2 | Activated | 1/9/2024 |
| 368902 | 3 | Responded | 1/9/2024 |
| 368902 | 4 | Resolved | 1/9/2024 |
| 368903 | 1 | Created | 1/5/2024 |
| 368903 | 2 | Activated | 1/9/2024 |
| 368903 | 3 | Responded | 1/9/2024 |
| 368909 | 1 | Created | 1/3/2024 |
| 368909 | 2 | Activated | 1/9/2024 |
| 368909 | 3 | Responded | 1/9/2024 |
| 368910 | 1 | Created | 1/9/2024 |
| 368910 | 2 | Activated | 1/9/2024 |
| 368910 | 3 | Responded | 1/9/2024 |
| 368910 | 4 | Resolved | 1/9/2024 |
| 368911 | 1 | Created | 1/9/2024 |
| 368911 | 2 | Activated | 1/9/2024 |
| 368911 | 3 | Responded | 1/9/2024 |
| 368912 | 1 | Created | 1/9/2024 |
| 368912 | 2 | Activated | 1/9/2024 |
| 368912 | 3 | Responded | 1/9/2024 |
| 368913 | 1 | Created | 1/9/2024 |
| 368913 | 2 | Activated | 1/9/2024 |
| 368913 | 3 | Responded | 1/9/2024 |
| 368913 | 4 | Resolved | 1/9/2024 |
This DAX gets me close, but I just need the actual days open, so that I can use it in other parts of the design (ie Avg Days Open).
Solved! Go to Solution.
HI @madbaird,
You can try to use the following measure formasi lot get the difference between two event names if helps:
formula =
VAR created =
CALCULATE (
MIN ( 'Table'[date_hour_local] ),
FILTER ( ALLSELECTED ( 'Table' ), [Event_Name] = "Created" ),
VALUES ( 'Table'[item_id] )
)
VAR resolved =
CALCULATE (
MAX ( 'Table'[date_hour_local] ),
FILTER ( ALLSELECTED ( 'Table' ), [Event_Name] = "Resolved" ),
VALUES ( 'Table'[item_id] )
)
VAR lastest =
CALCULATE (
MAX ( 'Table'[date_hour_local] ),
ALLSELECTED ( 'Table' ),
VALUES ( 'Table'[item_id] )
)
VAR eventList =
CALCULATETABLE (
VALUES ( 'Table'[Event_Name] ),
ALLSELECTED ( 'Table' ),
VALUES ( 'Table'[item_id] )
)
RETURN
IF (
"Resolved" IN eventList,
DATEDIFF ( created, resolved, DAY ),
DATEDIFF ( created, lastest, DAY )
)
Regards,
Xiaoxin Sheng
HI @madbaird,
You can try to use the following measure formasi lot get the difference between two event names if helps:
formula =
VAR created =
CALCULATE (
MIN ( 'Table'[date_hour_local] ),
FILTER ( ALLSELECTED ( 'Table' ), [Event_Name] = "Created" ),
VALUES ( 'Table'[item_id] )
)
VAR resolved =
CALCULATE (
MAX ( 'Table'[date_hour_local] ),
FILTER ( ALLSELECTED ( 'Table' ), [Event_Name] = "Resolved" ),
VALUES ( 'Table'[item_id] )
)
VAR lastest =
CALCULATE (
MAX ( 'Table'[date_hour_local] ),
ALLSELECTED ( 'Table' ),
VALUES ( 'Table'[item_id] )
)
VAR eventList =
CALCULATETABLE (
VALUES ( 'Table'[Event_Name] ),
ALLSELECTED ( 'Table' ),
VALUES ( 'Table'[item_id] )
)
RETURN
IF (
"Resolved" IN eventList,
DATEDIFF ( created, resolved, DAY ),
DATEDIFF ( created, lastest, DAY )
)
Regards,
Xiaoxin Sheng
Thank you, that seems to work as needed.
@madbaird , Try new column or measure
New column =
datediff([date_hour_local],coalease( maxx(filter(Table,[item_id] = earlier([item_id]) && [Event_ID] = earlier([Event_ID])-1), [date_hour_local]),[date_hour_local]), DAY)
New Measure =
AverageX( Table, if([Event_ID] >1, datediff([date_hour_local],coalease( maxx(filter(Table,[item_id] = earlier([item_id]) && [Event_ID] = earlier([Event_ID])-1), [date_hour_local]),[date_hour_local]), DAY)))
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 |
|---|---|
| 63 | |
| 51 | |
| 41 | |
| 23 | |
| 18 |
| User | Count |
|---|---|
| 134 | |
| 111 | |
| 50 | |
| 31 | |
| 29 |