Register now to learn Fabric in free live sessions led by the best Microsoft experts. From Apr 16 to May 9, in English and Spanish.
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.
Thanks in advance
Please provide sample data (with sensitive information removed) that covers your issue or question completely, in a usable format (not as a screenshot).
https://community.fabric.microsoft.com/t5/Community-Blog/How-to-provide-sample-data-in-the-Power-BI-...
Please show the expected outcome based on the sample data you provided.
https://community.fabric.microsoft.com/t5/Desktop/How-to-Get-Your-Question-Answered-Quickly/m-p/1447...
Hi, I have uploaded the table below - the result I am expecting to see the (QTY) productivity of different users based on the time stamp for various activities (CODE COL) for specific dates and weeks and QTR, and also want to calculate the KPI percentage based on the QTY target of 130 per hour.
please try again - nothing attached.
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 |
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.
You need to provide better sample data for that.
Covering the world! 9:00-10:30 AM Sydney, 4:00-5:30 PM CET (Paris/Berlin), 7:00-8:30 PM Mexico City
Check out the April 2024 Power BI update to learn about new features.
User | Count |
---|---|
111 | |
94 | |
80 | |
68 | |
59 |
User | Count |
---|---|
150 | |
119 | |
104 | |
87 | |
67 |