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I'm working on a dataset where for a single user the data would look like below:
User, Activity, Time
User 1, SignOn, 7:50am
User 1, EnRouted, 8:00am
User 1, Arrived, 8:30am
User 1, Completed, 9:00am
.
.
.
User 1, SignOff, 4:00pm
And I can create a table showing this - filtering down to every user and find their earliest 'Arrived' status for a given day by using a filter on Arrived and giving me the earliest Time.
I want to take this a step further and look at multiple days/multiple users and find what the average earliest 'Arrived' status is.
For example:
User 1, Arrived, 8:00am
User 2, Arrived, 9:00am
User 3, Arrived, 9:30am
My average 'Arrived' time for the three employees should be 8:50am.
Any help is much appreciated.
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| User | Count |
|---|---|
| 9 | |
| 5 | |
| 5 | |
| 3 | |
| 3 |
| User | Count |
|---|---|
| 24 | |
| 11 | |
| 9 | |
| 6 | |
| 6 |