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
Hi, this should be fairly easy, but I am a beginner!
My data has hire month for employees,
Example
Employee | Hire date | Other filter |
Worker 1 | 01/02/2022 | Filled |
Worker 2 | 01/02/2022 | Accepted |
Worker 3 | 02/11/2022 | Filled |
Worker 4 | 03/22/2022 | Filled |
Worker 5 | 03/25/2022 | Filled |
What I need is to show is Total Head Count measure.. for Jan = 102, Feb = 103, Mar = 105 (so it adding number of hires from previous months)
I have a DateDim table... (if that's useful?)
Also, what if I want to calculate only the ones that are (Filled)?
Thank you in advance!
@amitchandak thank you for your quick response..
I do not have termination date, and I tried your calculation like this:
HireTotals = CALCULATE(Count('Table'[Hire date]),filter(DimDate,DimDate[Date] <=maxx(DimDate,DimDate[Date]))) + [initial Emp]
And I got this (total by month) not the (total year to date) = adding totals per month
I tried to use the quick measure function to measure YTD and it came up with this expression
Any thoughts?
Thank you!
@NovWor , if we have hire and termination date both then we use, log like the one here
else we use logic like
[Intial Emp] + CALCULATE(Count(Hire[EmpID]),filter(date,date[date] <=maxx(date,date[date]))) - CALCULATE(SUM(leaver[leaver]),filter(date,date[date] <=maxx(date,date[date])))
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 |
---|---|
108 | |
77 | |
71 | |
48 | |
39 |
User | Count |
---|---|
137 | |
108 | |
69 | |
64 | |
58 |