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Hello guys,this time I need you again.
This is my sample data:
Date | Unit | Extracted | Workinghours |
3/1/2019 7:14 | P-19 | 274 | 590025.798 |
3/1/2019 8:05 | BD15 | 384 | 296.7 |
3/1/2019 8:27 | APV25 | 26.7 | 775.313889 |
3/1/2019 8:30 | P-20 | 365 | 1975.89889 |
3/1/2019 9:57 | APV29 | 72 | 1558.49778 |
3/1/2019 10:11 | APV27 | 93 | 576.25 |
3/4/2019 10:57 | P-20 | 61 | 1982.22111 |
3/4/2019 11:11 | P-20 | 113 | 1982.30833 |
3/4/2019 11:20 | TP05 | 98 | -348201 |
3/4/2019 12:51 | APV25 | 36.1 | 778.898889 |
3/4/2019 14:16 | APV27 | 462 | 594.3 |
3/4/2019 14:35 | APV29 | 53 | 1564.17278 |
3/5/2019 13:21 | P-19 | 290 | 590025.798 |
3/5/2019 14:03 | P-20 | 103 | 1992.285 |
3/5/2019 14:19 | BD15 | 125 | 314.65 |
3/5/2019 14:33 | APV25 | 49.2 | 784.253889 |
3/5/2019 14:42 | APV25 | 68 | 784.270556 |
3/5/2019 16:00 | APV29 | 404 | 1568.31722 |
3/5/2019 16:35 | RE01 | 478 | 301.401869 |
3/6/2019 9:56 | P-19 | 277 | 590025.798 |
3/6/2019 13:16 | BD15 | 110 | 322.75 |
3/6/2019 14:08 | APV27 | 163 | 604.8 |
3/7/2019 9:44 | P-20 | 103 | 2005.85944 |
3/7/2019 9:54 | DCP01 | 221 | 99.65 |
3/7/2019 10:26 | APV27 | 127 | 619.776389 |
3/7/2019 10:37 | APV29 | 110 | 1581.94833 |
3/8/2019 9:30 | P-20 | 204 | 2014.965 |
I need a Calculated Column that measures the difference between Workinghours in one date, and Workinghours the date before, this should be, considering the "Unit" field. Ex:
Date | Unit | Extracted | Workinghours | DIFF (desired) |
3/1/2019 10:11 | APV27 | 93 | 576.25 | |
3/4/2019 14:16 | APV27 | 462 | 594.3 | 18.05 |
3/6/2019 14:08 | APV27 | 163 | 604.8 | 10.5 |
3/7/2019 10:26 | APV27 | 127 | 619.776389 | 14.9763889 |
3/11/2019 10:14 | APV27 | 137 | 627.305556 | 7.52916667 |
3/15/2019 10:32 | APV27 | 295 | 648.612222 | 21.3066667 |
3/18/2019 10:34 | APV27 | 492 | 663.075 | 14.4627778 |
3/22/2019 9:56 | APV27 | 203 | 7005 | 6341.925 |
I need the same calculation for every unit in the same column.
Thanks in advance! All of your help would be really appreciate!
Omar.
Solved! Go to Solution.
Hi, You could do this in one measure, but here are 2 steps to get a result:
Date | Unit | Extracted | Workinghours | Previous Working Hours | Diff |
03/01/2019 08:27 | APV25 | 26.7 | 775.313889 | ||
03/04/2019 12:51 | APV25 | 36.1 | 778.898889 | 775.313889 | 3.585 |
03/05/2019 14:33 | APV25 | 49.2 | 784.253889 | 778.898889 | 5.355 |
03/05/2019 14:42 | APV25 | 68 | 784.270556 | 784.253889 | 0.016667 |
03/01/2019 10:11 | APV27 | 93 | 576.25 | ||
03/04/2019 14:16 | APV27 | 462 | 594.3 | 576.25 | 18.05 |
03/06/2019 14:08 | APV27 | 163 | 604.8 | 594.3 | 10.5 |
03/07/2019 10:26 | APV27 | 127 | 619.776389 | 604.8 | 14.976389 |
03/01/2019 09:57 | APV29 | 72 | 1558.49778 | ||
03/04/2019 14:35 | APV29 | 53 | 1564.17278 | 1558.49778 | 5.675 |
03/05/2019 16:00 | APV29 | 404 | 1568.31722 | 1564.17278 | 4.14444 |
03/07/2019 10:37 | APV29 | 110 | 1581.94833 | 1568.31722 | 13.63111 |
03/01/2019 08:05 | BD15 | 384 | 296.7 | ||
03/05/2019 14:19 | BD15 | 125 | 314.65 | 296.7 | 17.95 |
03/06/2019 13:16 | BD15 | 110 | 322.75 | 314.65 | 8.1 |
03/07/2019 09:54 | DCP01 | 221 | 99.65 | ||
03/01/2019 07:14 | P-19 | 274 | 590025.798 | ||
03/05/2019 13:21 | P-19 | 290 | 590025.798 | 590025.798 | 0 |
03/06/2019 09:56 | P-19 | 277 | 590025.798 | 590025.798 | 0 |
03/01/2019 08:30 | P-20 | 365 | 1975.89889 | ||
03/04/2019 10:57 | P-20 | 61 | 1982.22111 | 1975.89889 | 6.32222 |
03/04/2019 11:11 | P-20 | 113 | 1982.30833 | 1982.22111 | 0.08722 |
03/05/2019 14:03 | P-20 | 103 | 1992.285 | 1982.30833 | 9.97667 |
03/07/2019 09:44 | P-20 | 103 | 2005.85944 | 1992.285 | 13.57444 |
03/08/2019 09:30 | P-20 | 204 | 2014.965 | 2005.85944 | 9.10556 |
03/05/2019 16:35 | RE01 | 478 | 301.401869 | ||
03/04/2019 11:20 | TP05 | 98 | -348201 |
Hi, You could do this in one measure, but here are 2 steps to get a result:
Date | Unit | Extracted | Workinghours | Previous Working Hours | Diff |
03/01/2019 08:27 | APV25 | 26.7 | 775.313889 | ||
03/04/2019 12:51 | APV25 | 36.1 | 778.898889 | 775.313889 | 3.585 |
03/05/2019 14:33 | APV25 | 49.2 | 784.253889 | 778.898889 | 5.355 |
03/05/2019 14:42 | APV25 | 68 | 784.270556 | 784.253889 | 0.016667 |
03/01/2019 10:11 | APV27 | 93 | 576.25 | ||
03/04/2019 14:16 | APV27 | 462 | 594.3 | 576.25 | 18.05 |
03/06/2019 14:08 | APV27 | 163 | 604.8 | 594.3 | 10.5 |
03/07/2019 10:26 | APV27 | 127 | 619.776389 | 604.8 | 14.976389 |
03/01/2019 09:57 | APV29 | 72 | 1558.49778 | ||
03/04/2019 14:35 | APV29 | 53 | 1564.17278 | 1558.49778 | 5.675 |
03/05/2019 16:00 | APV29 | 404 | 1568.31722 | 1564.17278 | 4.14444 |
03/07/2019 10:37 | APV29 | 110 | 1581.94833 | 1568.31722 | 13.63111 |
03/01/2019 08:05 | BD15 | 384 | 296.7 | ||
03/05/2019 14:19 | BD15 | 125 | 314.65 | 296.7 | 17.95 |
03/06/2019 13:16 | BD15 | 110 | 322.75 | 314.65 | 8.1 |
03/07/2019 09:54 | DCP01 | 221 | 99.65 | ||
03/01/2019 07:14 | P-19 | 274 | 590025.798 | ||
03/05/2019 13:21 | P-19 | 290 | 590025.798 | 590025.798 | 0 |
03/06/2019 09:56 | P-19 | 277 | 590025.798 | 590025.798 | 0 |
03/01/2019 08:30 | P-20 | 365 | 1975.89889 | ||
03/04/2019 10:57 | P-20 | 61 | 1982.22111 | 1975.89889 | 6.32222 |
03/04/2019 11:11 | P-20 | 113 | 1982.30833 | 1982.22111 | 0.08722 |
03/05/2019 14:03 | P-20 | 103 | 1992.285 | 1982.30833 | 9.97667 |
03/07/2019 09:44 | P-20 | 103 | 2005.85944 | 1992.285 | 13.57444 |
03/08/2019 09:30 | P-20 | 204 | 2014.965 | 2005.85944 | 9.10556 |
03/05/2019 16:35 | RE01 | 478 | 301.401869 | ||
03/04/2019 11:20 | TP05 | 98 | -348201 |
@dannoThanks! I think it's really useful and it's working good..
There's something missing that I forgot, sometimes the workinghours might be a 0 value, so, the measure should take the previous value different than 0, Ex:
date workinghours previous workinghours
12/03/2019 110
13/03/2019 0 110
14/03/2019 210 110
15/03/2019 140 210
I tried to do it with your measure, but I couldn't get it.
Will you please tell me?
Thanks for your help!
Omar
@omarevp try this didn't spent much time but i thnk it will work
Diff = VAR __minDate = CALCULATE( MAX( Table8[Date] ), FILTER( ALLEXCEPT( Table8, Table8[Unit] ), Table8[Date] < MAX( Table8[Date] ) ) ) VAR __PrevValue = CALCULATE( MIN( Table8[Workinghours] ), ALLEXCEPT( Table8, Table8[Unit] ), Table8[Date] = __minDate) RETURN IF(NOT HASONEFILTER( Table8[Date] ), BLANK(), IF (__PrevValue = BLANK() , 0, SELECTEDVALUE( Table8[Workinghours] ) - __PrevValue) )
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