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I have data that consist of a timestamp (datetime) and a value.
These values come in with about 2-3 minutes a part. Sometimes there's gap in the data. These gaps are often hours long.
If you see the following chart:
I would like to group the clusters of data as "active" and the empty space as "inactive" to be able to calculate some sort of uptime.
Any tips for how i can accomplish this?
Would you able to add some sample data?
Thanks,
Arul
Sure, it looks something like this (unneeded columns removed).
weight time date
20,05 | 20:35:46 | 23.03.2023 |
18,65 | 20:37:57 | 23.03.2023 |
21,7 | 20:40:09 | 23.03.2023 |
21,3 | 20:42:23 | 23.03.2023 |
18,9 | 17:45:10 | 23.03.2023 |
18,25 | 17:46:49 | 23.03.2023 |
18,1 | 17:48:40 | 23.03.2023 |
15,25 | 17:49:07 | 23.03.2023 |
18,55 | 21:01:47 | 23.03.2023 |
14,4 | 21:04:04 | 23.03.2023 |
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