Forum Discussion
calculating working time in office
- 7 years ago
Anonymous Please try this as a "New Column" which will give the each breaktime difference between OUT and IN time
BreakDuration = VAR _InTime = CALCULATE(MAX(Test95BreakTime[Time]),FILTER(ALL(Test95BreakTime),Test95BreakTime[Time] < EARLIER(Test95BreakTime[Time]) && Test95BreakTime[WorkerID] = EARLIER(Test95BreakTime[WorkerID]) && Test95BreakTime[Direction] <> EARLIER(Test95BreakTime[Direction]) && Test95BreakTime[Direction] = "OUT")) RETURN DATEDIFF(TIME(HOUR(_InTime),MINUTE(_InTime),SECOND(_InTime)),Test95BreakTime[Time],MINUTE)
Then, you can create a measure to get the total worked/logged time excluding the break time using the below as "Measure"
Test95TotalLoggedTime = VAR _BreakTime = SUM(Test95BreakTime[BreakDuration]) VAR _FirstIn = CALCULATE(MIN(Test95BreakTime[Time]),Test95BreakTime[Direction]="IN") VAR _LastOut = CALCULATE(MAX(Test95BreakTime[Time]),Test95BreakTime[Direction]="OUT") RETURN DATEDIFF(_FirstIn,_LastOut,MINUTE)-_BreakTime
Hi PattemManohar,
I have a bug. How can i add a filter for multiple days? In some cases moethod crqashes and it starts to calculate from other days recors. I think it has a relation with exits and entrances after-midnight.
Thanks
Anonymous Please post the sample data in copiable format to replicate the issue that you are facing.
- Anonymous7 years agoNot applicable
Please find the sample data below. Thnx
Worker ID Direction Date Time BreakDuration 1 IN 1.08.2018 08:29:24 290 1 OUT 1.08.2018 12:34:02 1 IN 1.08.2018 13:04:02 25 1 OUT 1.08.2018 17:52:38 1 IN 2.08.2018 08:21:21 282 1 OUT 2.08.2018 12:09:40 1 IN 2.08.2018 12:17:23 6 1 OUT 2.08.2018 12:33:44 1 IN 2.08.2018 12:36:15 1 1 OUT 2.08.2018 19:37:12 1 IN 3.08.2018 09:48:28 60 1 OUT 3.08.2018 13:27:17 1 IN 3.08.2018 13:51:52 21 1 OUT 3.08.2018 14:51:06 1 IN 3.08.2018 15:15:09 24 1 OUT 3.08.2018 17:00:56 1 IN 3.08.2018 17:03:41 3 1 OUT 3.08.2018 20:25:34 1 IN 9.08.2018 09:07:33 19 1 OUT 9.08.2018 13:11:37 1 IN 9.08.2018 13:29:49 2 1 OUT 9.08.2018 16:46:00 1 IN 9.08.2018 17:00:00 2 1 OUT 9.08.2018 17:56:45 1 IN 9.08.2018 18:12:54 16 1 OUT 10.08.2018 03:39:04 1 IN 10.08.2018 08:43:26 304 1 OUT 10.08.2018 13:22:01 1 IN 10.08.2018 14:33:50 63 1 OUT 10.08.2018 18:12:56 1 IN 13.08.2018 08:59:25 11 1 OUT 13.08.2018 11:30:52 1 IN 13.08.2018 11:53:49 23 1 OUT 13.08.2018 13:30:24 1 IN 13.08.2018 14:04:43 34 1 OUT 13.08.2018 17:56:58 1 IN 14.08.2018 08:33:53 294 1 OUT 14.08.2018 08:48:38 1 IN 14.08.2018 08:57:35 9 1 OUT 14.08.2018 10:27:31 1 IN 14.08.2018 10:35:07 2 1 OUT 14.08.2018 12:11:22 1 IN 14.08.2018 12:42:01 3 1 OUT 14.08.2018 17:17:12 1 IN 14.08.2018 18:52:22 40 1 OUT 15.08.2018 00:49:41 1 IN 15.08.2018 11:42:49 12 1 OUT 15.08.2018 12:39:35 1 IN 15.08.2018 13:34:55 4 1 OUT 15.08.2018 17:56:34 1 IN 16.08.2018 09:37:55 49 1 OUT 16.08.2018 10:33:37 1 IN 16.08.2018 10:50:11 17 1 OUT 16.08.2018 12:35:54 1 IN 16.08.2018 13:33:13 3 1 OUT 16.08.2018 16:58:34 1 IN 16.08.2018 17:12:07 12 1 OUT 16.08.2018 17:41:25 1 IN 17.08.2018 08:26:00 287 1 OUT 17.08.2018 13:10:10 1 IN 17.08.2018 13:29:22 2 1 OUT 17.08.2018 17:26:58 2 IN 1.08.2018 09:46:43 20 2 OUT 1.08.2018 09:54:09 2 IN 1.08.2018 10:07:59 13 2 OUT 1.08.2018 11:29:28 2 IN 1.08.2018 11:41:40 1 2 OUT 1.08.2018 12:01:26 2 IN 1.08.2018 13:04:44 59 2 OUT 1.08.2018 15:13:26 2 IN 1.08.2018 15:26:09 6 2 OUT 1.08.2018 16:42:35 2 IN 1.08.2018 17:03:51 2 2 OUT 1.08.2018 18:08:12 2 IN 1.08.2018 18:36:38 4 2 OUT 1.08.2018 19:49:22 2 IN 2.08.2018 09:15:25 542 2 OUT 2.08.2018 09:26:01 2 IN 3.08.2018 10:30:16 36 2 OUT 3.08.2018 10:54:56 2 IN 3.08.2018 11:07:00 13 2 OUT 3.08.2018 11:59:24 2 IN 3.08.2018 13:35:45 90 2 OUT 3.08.2018 15:02:07 2 IN 3.08.2018 15:23:19 3 2 OUT 3.08.2018 17:34:40 2 IN 6.08.2018 10:28:26 34 2 OUT 6.08.2018 10:45:56 2 IN 6.08.2018 11:18:10 11 2 OUT 6.08.2018 11:56:59 2 IN 6.08.2018 13:16:56 71 2 OUT 6.08.2018 14:58:05 2 IN 6.08.2018 16:21:58 4 2 OUT 6.08.2018 17:58:42 2 IN 6.08.2018 18:29:38 21 2 OUT 6.08.2018 18:32:36 2 IN 7.08.2018 10:10:44 16 2 OUT 7.08.2018 10:47:15 2 IN 7.08.2018 11:07:20 13 2 OUT 7.08.2018 11:55:25 2 IN 7.08.2018 13:18:24 73 2 OUT 7.08.2018 14:59:45 2 IN 7.08.2018 15:17:31 4 2 OUT 7.08.2018 16:17:52 2 IN 7.08.2018 16:50:34 8 2 OUT 7.08.2018 17:29:05 2 IN 7.08.2018 18:00:15 2 2 OUT 7.08.2018 18:32:13 2 IN 8.08.2018 09:20:28 1 2 OUT 8.08.2018 09:26:29 2 IN 8.08.2018 09:40:58 14 2 OUT 8.08.2018 10:33:57 2 IN 8.08.2018 11:04:06 10 2 OUT 8.08.2018 11:40:19 2 IN 8.08.2018 11:54:32 4 2 OUT 8.08.2018 11:58:39 2 IN 8.08.2018 13:23:38 78 2 OUT 8.08.2018 14:34:47 2 IN 8.08.2018 14:57:30 7 2 OUT 8.08.2018 16:00:47 2 IN 8.08.2018 16:14:26 14 2 OUT 8.08.2018 17:41:22 2 IN 9.08.2018 09:40:54 14 2 OUT 9.08.2018 09:52:42 2 IN 9.08.2018 10:28:16 34 2 OUT 9.08.2018 11:50:02 2 IN 9.08.2018 13:26:02 81 2 OUT 9.08.2018 15:01:54 2 IN 9.08.2018 15:24:08 4 2 OUT 9.08.2018 17:01:53 2 IN 9.08.2018 17:21:35 14 2 OUT 9.08.2018 17:47:17 2 IN 10.08.2018 09:24:51 5 2 OUT 10.08.2018 09:47:57 2 IN 10.08.2018 10:59:48 5 2 OUT 10.08.2018 11:56:21 2 IN 10.08.2018 11:57:01 1 2 OUT 10.08.2018 11:57:57 2 IN 10.08.2018 13:45:16 100 2 OUT 10.08.2018 15:07:24 2 IN 10.08.2018 15:38:59 5 2 OUT 10.08.2018 17:07:10 2 IN 13.08.2018 10:19:12 25 2 OUT 13.08.2018 10:54:16 2 IN 13.08.2018 11:44:37 4 2 OUT 13.08.2018 11:58:21 2 IN 13.08.2018 13:13:04 68 2 OUT 13.08.2018 14:50:23 2 IN 13.08.2018 15:26:01 6 2 OUT 13.08.2018 16:30:29 2 IN 13.08.2018 16:58:41 7 2 OUT 13.08.2018 17:47:27 2 IN 14.08.2018 10:20:50 26 2 OUT 14.08.2018 11:07:27 2 IN 14.08.2018 11:32:24 3 2 OUT 14.08.2018 11:57:32 2 IN 14.08.2018 13:19:09 74 2 OUT 14.08.2018 15:20:47 2 IN 14.08.2018 15:44:25 11 2 OUT 14.08.2018 16:51:47 2 IN 14.08.2018 17:06:59 5 2 OUT 14.08.2018 17:56:14 2 IN 14.08.2018 18:09:34 1 2 OUT 14.08.2018 18:48:19 2 IN 14.08.2018 19:02:33 14 2 OUT 14.08.2018 19:12:59 2 IN 15.08.2018 10:16:43 22 2 OUT 15.08.2018 10:54:20 2 IN 15.08.2018 11:18:25 11 2 OUT 15.08.2018 12:05:07 2 IN 15.08.2018 13:26:13 81 2 OUT 15.08.2018 15:08:55 2 IN 15.08.2018 15:42:21 9 2 OUT 15.08.2018 17:28:03 2 IN 15.08.2018 17:52:32 5 2 OUT 15.08.2018 19:28:30 2 IN 16.08.2018 09:14:14 541 2 OUT 16.08.2018 09:19:20 2 IN 16.08.2018 09:43:55 17 2 OUT 16.08.2018 10:37:25 2 IN 16.08.2018 10:47:39 0 2 OUT 16.08.2018 12:01:37 2 IN 16.08.2018 13:05:40 60 2 OUT 16.08.2018 15:33:31 2 IN 16.08.2018 15:58:05 25 2 OUT 16.08.2018 16:14:45 2 IN 16.08.2018 16:29:42 12 2 OUT 16.08.2018 16:42:29 2 IN 17.08.2018 00:10:52 2 OUT 17.08.2018 00:13:28 - PattemManohar7 years ago
Community Champion
Anonymous Thanks for providing the sample data.
Here is the new logic to handle mutliple dates,
Add a new column as below (Added an another condition to check the date as well)
BreakDuration = VAR _InTime = CALCULATE(MAX(Test95BreakTime1[Time]),FILTER(ALL(Test95BreakTime1),Test95BreakTime1[Time] < EARLIER(Test95BreakTime1[Time]) && Test95BreakTime1[WorkerID] = EARLIER(Test95BreakTime1[WorkerID]) && Test95BreakTime1[Direction] <> EARLIER(Test95BreakTime1[Direction]) && Test95BreakTime1[Date] = EARLIER(Test95BreakTime1[Date]) && Test95BreakTime1[Direction] = "OUT")) RETURN DATEDIFF(TIME(HOUR(_InTime),MINUTE(_InTime),SECOND(_InTime)),Test95BreakTime1[Time],MINUTE)
Create a measure as below
Test95TotalLoggedTime1 = VAR _BreakTime = SUM(Test95BreakTime1[BreakDuration]) VAR _FirstIn = FORMAT(MIN(Test95BreakTime1[Time]),"hh:mm:ss") VAR _LastOut = FORMAT(MAX(Test95BreakTime1[Time]),"hh:mm:ss") RETURN DATEDIFF(_FirstIn,_LastOut,MINUTE)-_BreakTime
- Anonymous7 years agoNot applicable
I tried the new formula but "BreakDuration" gave en error : DAX comparison values of type Date with values of type Text.
Consider the VALUE or FORMAT function to convert one of the values.
In my table, "date" column's data type is date. When i changed it's data type to text the formula didnt give an error but also didnt return any result.