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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.
Share feedback directly with Fabric product managers, participate in targeted research studies and influence the Fabric roadmap.
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