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,
I am trying to find the peak concurrent usage of a specific application.
I do know the begin time and end time a specific machine which used said application.
We do not know which day has the highest peak usage. We do not know which hour had the highest peak usage.
I am trying to learn how to count the number of machines which are actively using the same program throughout the day.
Which would produce a graph similar to the following photo.
I have a sample of data like this:
luidmachineidbegin_timeend_time
2100 | 589 | 3/5/2020 21:47 | 3/5/2020 21:47 |
2100 | 2642 | 3/5/2020 15:10 | 3/5/2020 21:49 |
2100 | 589 | 3/5/2020 21:51 | 3/5/2020 21:51 |
2100 | 2634 | 3/5/2020 19:37 | 3/5/2020 22:30 |
2100 | 2904 | 3/5/2020 14:51 | 3/5/2020 22:54 |
2100 | 589 | 3/5/2020 22:13 | 3/5/2020 22:15 |
2100 | 589 | 3/5/2020 23:54 | 3/5/2020 23:55 |
2100 | 2930 | 3/5/2020 20:06 | 3/5/2020 23:57 |
2100 | 589 | 3/5/2020 23:57 | 3/6/2020 0:02 |
2100 | 589 | 3/6/2020 0:04 | 3/6/2020 0:04 |
2100 | 589 | 3/6/2020 0:06 | 3/6/2020 0:06 |
2100 | 2892 | 3/5/2020 14:16 | 3/5/2020 23:01 |
2100 | 2464 | 3/5/2020 14:17 | 3/6/2020 3:11 |
2100 | 2634 | 3/5/2020 19:02 | 3/5/2020 19:09 |
2100 | 2634 | 3/5/2020 19:21 | 3/5/2020 19:21 |
2100 | 589 | 3/5/2020 19:22 | 3/5/2020 19:22 |
2100 | 589 | 3/5/2020 19:24 | 3/5/2020 19:25 |
2100 | 589 | 3/5/2020 19:25 | 3/5/2020 19:25 |
2100 | 589 | 3/5/2020 19:25 | 3/5/2020 19:25 |
2100 | 2593 | 3/6/2020 12:03 | 3/6/2020 13:45 |
2100 | 2642 | 3/5/2020 15:29 | 3/6/2020 13:46 |
2100 | 2892 | 3/5/2020 15:35 | 3/6/2020 13:56 |
2100 | 2642 | 3/6/2020 13:54 | 3/6/2020 13:58 |
2100 | 2892 | 3/6/2020 14:58 | |
2100 | 589 | 3/6/2020 15:43 | |
2100 | 2634 | 3/6/2020 15:46 | |
2100 | 2838 | 3/6/2020 14:49 | 3/6/2020 14:50 |
2100 | 2904 | 3/6/2020 14:52 | 3/6/2020 14:52 |
2100 | 2904 | 3/6/2020 14:53 | 3/6/2020 14:53 |
2100 | 2506 | 3/6/2020 14:53 | 3/6/2020 14:55 |
2100 | 2506 | 3/6/2020 14:57 | 3/6/2020 14:57 |
2100 | 2838 | 3/6/2020 14:58 | 3/6/2020 14:58 |
2100 | 2506 | 3/6/2020 14:57 | 3/6/2020 14:59 |
2100 | 2838 | 3/6/2020 14:58 | 3/6/2020 15:01 |
2100 | 2838 | 3/6/2020 15:24 | 3/6/2020 15:24 |
2099 | 2517 | 3/5/2020 21:28 | 3/5/2020 21:33 |
2099 | 1833 | 3/5/2020 21:48 | 3/5/2020 21:48 |
2099 | 1833 | 3/5/2020 21:51 | 3/5/2020 21:52 |
Hi, @Anonymous
my browser is not happy with the link you have pasted, not happy at all. It throws a lot of security warnings. Is there somewhere else you could share your file?
Cheers,
Sturla
Sure thing! Thanks for informing me. I had much more data than 20k characters. I edited my original post to have a sample of data smaller than 20k.
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 | |
79 | |
72 | |
48 | |
41 |
User | Count |
---|---|
138 | |
108 | |
69 | |
64 | |
57 |