The ultimate Microsoft Fabric, Power BI, Azure AI, and SQL learning event: Join us in Stockholm, September 24-27, 2024.
Save €200 with code MSCUST on top of early bird pricing!
Find everything you need to get certified on Fabric—skills challenges, live sessions, exam prep, role guidance, and more. Get started
I have 2 tables, one with ticket details one with dates. I need to calculate the average age of tickets per month. My reports are filtered on the date table month column.
I have 3 inactive relationships with the date table to calculate open,closed, target closed but cannot seem to figure the average age out at all.
My below attempts to even calculate the tickets closed same month as opened produces wrong totals.
CALCULATE(DISTINCTCOUNT(Bugs[issuenum_id]),
FILTER(ticket,MONTH(ticket[resolutiondate]) = MONTH(ticket[created]) &&YEAR(ticket[resolutiondate]) = YEAR(ticket[created])),
USERELATIONSHIP('date'[Date],ticket[resolutiondate]))
/*CALCULATE(COUNTROWS('ticket'),
FILTER(ticket,
MONTH(ticket[resolutiondate]) = MONTH(ticket[created])),
USERELATIONSHIP(ticket[resolutiondate],'date'[Date]))
*/
/*
CALCULATE(DISTINCTCOUNT(ticket[issuenum_id]),
MONTH(ticket[resolutiondate]) = MONTH(ticket[created]),
USERELATIONSHIP('date'[Date],ticket[resolutiondate]))*/
Solved! Go to Solution.
Hi @drstrong
If you want to calculate the average age of tickets per month, here is the method I provided:
Here's some dummy data
“ticket”
First, create a calculated column that counts the number of days the ticket lasted.
days = DATEDIFF('ticket'[created], 'ticket'[closed], DAY)
Create a measure to calculate the average age of tickets per month.
average age of tickets =
var _month = MONTH(SELECTEDVALUE(ticket[created]))
var _day = DATEDIFF(SELECTEDVALUE('ticket'[created]), SELECTEDVALUE('ticket'[closed]), DAY)
return
CALCULATE(
SUM('ticket'[days]),
FILTER(ALL('ticket'), MONTH('ticket'[created]) = _month)
)
/
CALCULATE(
COUNTROWS('ticket'),
FILTER(ALL('ticket'), MONTH('ticket'[created]) = _month)
)
Here is the result.
If you're still having problems, provide some dummy data and the desired outcome. It is best presented in the form of a table.
Regards,
Nono Chen
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @drstrong
If you want to calculate the average age of tickets per month, here is the method I provided:
Here's some dummy data
“ticket”
First, create a calculated column that counts the number of days the ticket lasted.
days = DATEDIFF('ticket'[created], 'ticket'[closed], DAY)
Create a measure to calculate the average age of tickets per month.
average age of tickets =
var _month = MONTH(SELECTEDVALUE(ticket[created]))
var _day = DATEDIFF(SELECTEDVALUE('ticket'[created]), SELECTEDVALUE('ticket'[closed]), DAY)
return
CALCULATE(
SUM('ticket'[days]),
FILTER(ALL('ticket'), MONTH('ticket'[created]) = _month)
)
/
CALCULATE(
COUNTROWS('ticket'),
FILTER(ALL('ticket'), MONTH('ticket'[created]) = _month)
)
Here is the result.
If you're still having problems, provide some dummy data and the desired outcome. It is best presented in the form of a table.
Regards,
Nono Chen
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Join the community in Stockholm for expert Microsoft Fabric learning including a very exciting keynote from Arun Ulag, Corporate Vice President, Azure Data.
Check out the August 2024 Power BI update to learn about new features.
User | Count |
---|---|
121 | |
86 | |
76 | |
55 | |
46 |
User | Count |
---|---|
136 | |
128 | |
78 | |
64 | |
63 |