Forum Discussion
Anonymous
3 years agoNot applicable
Need help
Hi All, I want to calculate time spent in mm: ss on a specific task (code col) by a specific individual (user id col) and get the sum of the quantity per hour per individual per task. ...
lbendlin
3 years agoSuper User
please try again - nothing attached.
Anonymous
3 years agoNot applicable
| ACTIVITY DATE | CODE | USER_ID | DATE_TIMESTAMP | QTY |
| 1/06/2023 | Pick | ELLA | 8:47:45 am | 1 |
| 1/06/2023 | Pick | ELLA | 8:48:54 am | 1 |
| 1/06/2023 | Pick | ELLA | 8:49:18 am | 1 |
| 1/06/2023 | Pick | KGREY | 9:46:33 am | 1 |
| 1/06/2023 | Pick | ELLA | 9:55:12 am | 1 |
| 1/06/2023 | Pick | ELLA | 9:56:08 am | 1 |
| 1/06/2023 | Pick | ELLA | 9:58:13 am | 1 |
| 1/06/2023 | Pick | ELLA | 9:59:21 am | 1 |
| 1/06/2023 | Pick | ELLA | 10:00:09 am | 1 |
| 1/06/2023 | Receipt | KGREY | 13:58:32 PM | 35 |
| 1/06/2023 | Receipt | KGREY | 13:58:44 PM | 38 |
| 1/06/2023 | Putaway | KGREY | 13:59:10 PM | 15 |
| 1/06/2023 | Putaway | KGREY | 13:59:22 PM | 26 |
| 1/06/2023 | Putaway | KGREY | 13:59:26 PM | 35 |
| 1/06/2023 | Putaway | KGREY | 13:59:38 PM | 38 |
| 1/06/2023 | Putaway | KGREY | 13:59:47 PM | 26 |
| 1/06/2023 | Pick | NIVAN | 14:01:59 PM | 1 |
| 1/06/2023 | Pick | NIVAN | 14:03:15 PM | 1 |
| 1/06/2023 | Pick | NIVAN | 14:04:07 PM | 1 |
| 1/06/2023 | Pick | NIVAN | 14:04:39 PM | 1 |
| 1/06/2023 | Pick | NIVAN | 14:08:52 PM | 1 |
| 1/06/2023 | Pick | NIVAN | 14:09:52 PM | 1 |
| 1/06/2023 | Putaway | ELLA | 14:14:38 PM | 2 |
| 1/06/2023 | Putaway | ELLA | 14:15:14 PM | 4 |
| 1/06/2023 | Pick | NIVAN | 14:22:46 PM | 1 |
| 1/06/2023 | Pick | NIVAN | 14:24:23 PM | 1 |
| 1/06/2023 | Receipt | NIVAN | 14:24:56 PM | 1 |
| 1/06/2023 | Receipt | NIVAN | 14:27:25 PM | 6 |
| 1/06/2023 | Putaway | KGREY | 14:33:12 PM | 21 |
| 1/06/2023 | Putaway | KGREY | 14:33:20 PM | 33 |
| 1/06/2023 | Pick | NIVAN | 14:33:28 PM | 1 |
| 1/06/2023 | Putaway | KGREY | 14:33:28 PM | 30 |
| 2/06/2023 | Putaway | EPEV | 6:54:17 am | 2 |
| 2/06/2023 | Putaway | EPEV | 6:54:30 am | 2 |
| 2/06/2023 | Putaway | EPEV | 6:56:22 am | 6 |
| 2/06/2023 | Putaway | EPEV | 6:57:10 am | 3 |
| 2/06/2023 | Putaway | EPEV | 6:57:14 am | 1 |
| 2/06/2023 | Pick | ELLA | 6:57:58 am | 1 |
| 2/06/2023 | Pick | ELLA | 6:59:30 am | 1 |
| 2/06/2023 | Pick | KGREY | 6:59:46 am | 2 |
| 2/06/2023 | Pick | KGREY | 7:00:02 am | 3 |
| 2/06/2023 | Pick | ELLA | 7:26:01 am | 1 |
| 2/06/2023 | Pick | ELLA | 7:56:29 am | 1 |
| 2/06/2023 | Pick | KGREY | 7:56:37 am | 2 |
| 2/06/2023 | Pick | KGREY | 7:56:57 am | 1 |
| 2/06/2023 | Pick | ELLA | 7:57:33 am | 1 |
| 2/06/2023 | Pick | KGREY | 7:57:53 am | 1 |
| 2/06/2023 | Pick | ELLA | 8:48:29 am | 1 |
| 2/06/2023 | Pick | KGREY | 8:49:17 am | 1 |
| 2/06/2023 | Pick | KGREY | 8:49:53 am | 1 |
| 2/06/2023 | Pick | ELLA | 8:50:29 am | 1 |
| 2/06/2023 | Pick | ELLA | 8:58:04 am | 1 |
| 2/06/2023 | Pick | KGREY | 8:58:28 am | 1 |
| 2/06/2023 | Receipt | KGREY | 10:42:43 am | 6 |
| 2/06/2023 | Receipt | KGREY | 10:49:07 am | 18 |
| 2/06/2023 | Receipt | KGREY | 10:49:30 am | 18 |
| 2/06/2023 | Receipt | KGREY | 10:49:50 am | 18 |
| 2/06/2023 | Receipt | KGREY | 10:50:03 am | 30 |
| 2/06/2023 | Receipt | KGREY | 10:50:22 am | 42 |
| 2/06/2023 | Receipt | KGREY | 10:50:37 am | 72 |
| 2/06/2023 | Receipt | KGREY | 10:50:53 am | 84 |
| 2/06/2023 | Receipt | KGREY | 10:51:08 am | 120 |
| 2/06/2023 | Receipt | KGREY | 10:51:30 am | 186 |
| 2/06/2023 | Putaway | KGREY | 11:03:18 am | 18 |
| 2/06/2023 | Putaway | KGREY | 11:03:30 am | 72 |
| 2/06/2023 | Putaway | KGREY | 11:03:34 am | 120 |
| 2/06/2023 | Putaway | KGREY | 11:04:54 am | 6 |
| 2/06/2023 | Receipt | ELLA | 11:35:51 am | 18 |
- lbendlin3 years agoSuper User
Create a couple of dimensions from your data to build a suitable data model
Then the report writes itself.
see attached
- Anonymous3 years agoNot applicable
i get that thanks, how can i calculate the weekly, daily,monthly averages for individuals and for all the users combined? Also, in percentage considering the target is 130 per hour.
- lbendlin3 years agoSuper User
You need to provide better sample data for that.