Don't miss your chance to take the Fabric Data Engineer (DP-600) exam for FREE! Find out how by attending the DP-600 session on April 23rd (pacific time), live or on-demand.
Learn moreNext up in the FabCon + SQLCon recap series: The roadmap for Microsoft SQL and Maximizing Developer experiences in Fabric. All sessions are available on-demand after the live show. Register now
Hi,
i have these columns in my data set and i want to calculate time period for a person's designation. for example Amanda in 2015 was on ED portfolios role till 2019. the duration should be "3 year and 3 months" of ED portfolios designation and for ED public services it should be from 2019 to till 2022 currently, like this for all employee. how to achieve it in DAX.
Thanks in advance
Solved! Go to Solution.
New column =
var _min = minx(filter(Table, [Employee Name] = earlier([Employee Name]) && [Effective from] > earlier([Effective from])), [Effective from])
var _diff = datediff([Effective from], coalesce(_min, today()), month)
return Quotient(_diff ,12) & " Years " & Mod(_diff ,12) & " Months"
@HassanAli123 , Try like
New column =
var _min = minx(filter(Table, [Employee Name] = earlier([Employee Name]) && [Effective from] > earlier([Effective from])), [Effective from])
return
datediff([Effective from], coalesce(_min, today()), month)/12.0
it is showing error " Cannot convert value of type Text to type Date.
New column =
var _min = minx(filter(Table, [Employee Name] = earlier([Employee Name]) && [Effective from] > earlier([Effective from])), [Effective from])
var _diff = datediff([Effective from], coalesce(_min, today()), month)
return Quotient(_diff ,12) & " Years " & Mod(_diff ,12) & " Months"
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 |
|---|---|
| 44 | |
| 43 | |
| 38 | |
| 19 | |
| 15 |
| User | Count |
|---|---|
| 68 | |
| 64 | |
| 31 | |
| 29 | |
| 24 |