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I have read some post related to ticket systems, none of them have helped me. I have a common dataset called ITS, with a Key, created_date and resolved_date; if the ticket is unsolved, resolved_date is blank. I calculate the number of open tickets in a set of dates. For example, every Thursday since the ticket systems started. The dates table would be like this
@Madyshq , refer the blog or attached files can help
Having your report as an example. I want to know, in a given list of dates(lets say weekly), which has been the active worker that has worked for longer time, and for how long.
Like:
January 4th- Jonh Doe, 1020 days
January 11th- Jonh Doe, 1027 days
January 18th- Mary Ann, 980 days (John left the company)
...
Every 7 days till the last date in the dataset- Person- How long have been working
It makes more sense with tickets than workers, but I hope you have an idea. I have the list of the dates , it should be a column in a new table or something, and make the calculations having that column in consideration.
Thank you very much!