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Use case: Identifying of lack of execution by hour patterns
Example:
If we group by the execution metrics of line 64 of Electra Afikim from 1.7-30.7 by hour, we can easily identify patterns (take a look at 9:30):
Suggestion:
In the "gaps" page, allow selecting a range of dates.
When more than 1 day is selected, the results will be grouped -by hour, so instead of "V", "X", we'll see the following columns:
total planned
total executed
miss percentage - colored red-yellow-green.
The text was updated successfully, but these errors were encountered:
Use case: Identifying of lack of execution by hour patterns
Example:
![64_misses_july_by_Hour (1)](https://private-user-images.githubusercontent.com/61648359/262758291-0bdeaa00-7ae2-4e00-82d0-68021a99ca77.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.mSm_Yt3CbM894meso1OaDy91KglQgDBSJpNZJ6fqeQA)
If we group by the execution metrics of line 64 of Electra Afikim from 1.7-30.7 by hour, we can easily identify patterns (take a look at 9:30):
Suggestion:
The text was updated successfully, but these errors were encountered: