The ultimate Fabric, Power BI, SQL, and AI community-led learning event. Save €200 with code FABCOMM.
Get registeredEnhance your career with this limited time 50% discount on Fabric and Power BI exams. Ends August 31st. Request your voucher.
Hi,
So I have data like this:
User | Logon Time | Logoff Time |
Person A | 03/04/2020 10:00 | 03/04/2020 12:00 |
Person B | 03/04/2020 9:00 | 03/04/2020 11:00 |
Person B | 03/04/2020 11:00 | 03/04/2020 13:00 |
(etc)
My end goal is to have a graph with time on the X axis and count of people logged in on the Y axis.
A person is logged in if X is greater than Logon Time but less than Logoff time.
It feels incredibly doable and I feel like my first step needs to be to make a new table.
I feel like the table's first column should autofill all date/times every 30 minutes from the First logon to the last logoff (or we could use parameters if that's easier?) and then the second column should count each row where Logon < X < Logoff.
Is there any way to autofill a new table with these values and then do the counting in DAX? Even a point in the right direction would be much appreciated.
https://community.powerbi.com/t5/Quick-Measures-Gallery/Open-Tickets/td-p/409364
User | Count |
---|---|
10 | |
9 | |
6 | |
6 | |
5 |
User | Count |
---|---|
22 | |
14 | |
14 | |
9 | |
7 |