Forum Discussion
Sum the Max Value before 0
Hello PBI Community,
Hope you all are doing good.
I want to sort my data based of DateTime column and the perform the sum of max value before zero. Actually I want to find Total production and counter of production is incremented and count of previous production is added in new count of production. When the shift changes or machine stops due to any reason, counter is reset to 0. I want to find shift wise production. Below is the sample data for reference and want to sum the Red Highlighted Bold Values based on scenario.
| Time | Shift | Production |
| 7:00:00 AM | Shift A | 0 |
| 7:02:00 AM | Shift A | 5 |
| 7:04:00 AM | Shift A | 10 |
| 7:06:00 AM | Shift A | 15 |
| 7:08:00 AM | Shift A | 0 |
| 7:10:00 AM | Shift A | 5 |
| 7:12:00 AM | Shift A | 10 |
| 7:14:00 AM | Shift A | 15 |
| 7:16:00 AM | Shift A | 20 |
| 7:18:00 AM | Shift A | 25 |
| 7:20:00 AM | Shift A | 30 |
| 7:22:00 AM | Shift B | 0 |
| 7:24:00 AM | Shift B | 5 |
| 7:26:00 AM | Shift B | 10 |
| 7:28:00 AM | Shift B | 15 |
| 7:30:00 AM | Shift B | 0 |
| 7:32:00 AM | Shift B | 5 |
| 7:34:00 AM | Shift B | 10 |
| 7:36:00 AM | Shift B | 15 |
| 7:38:00 AM | Shift B | 20 |
| 7:40:00 AM | Shift B | 0 |
Result I want is,
Shift A = 15 + 30 = 45
Shift B = 15 + 20 = 35
Looking forward for some postive responce.
Regards,
Ibad.
Hi,
Please check the attached pbix file.
Regarding 9/4/2022 shiftB, I am not sure but I added the last production number (2) and the number shows 18.
desired outcome measure V2: = VAR newtable = ADDCOLUMNS ( ADDCOLUMNS ( Data_Second, "@previousvalue", VAR _currentdate = Data_Second[Date] VAR _currenttime = Data_Second[Time] VAR _currentshift = Data_Second[Shift] VAR _previoustime = MAXX ( FILTER ( Data_Second, Data_Second[Shift] = _currentshift && Data_Second[Date] = _currentdate && Data_Second[Time] < _currenttime ), Data_Second[Time] ) VAR _previousvalue = MAXX ( FILTER ( Data_Second, Data_Second[Shift] = _currentshift && Data_Second[Date] = _currentdate && Data_Second[Time] = _previoustime ), Data_Second[Production] ) RETURN _previousvalue ), "@index", IF ( [@previousvalue] == BLANK () || Data_Second[Production] < [@previousvalue], 1, 0 ) ) VAR indexcumulatetable = ADDCOLUMNS ( newtable, "@indexcumulate", SUMX ( FILTER ( newtable, Data_Second[Time] <= EARLIER ( Data_Second[Time] ) ), [@index] ) ) VAR groupbyindexcumulatemax = SUMMARIZE ( GROUPBY ( indexcumulatetable, Shift[Shift], [@indexcumulate], "@maxtime", MAXX ( CURRENTGROUP (), Data_Second[Time] ) ), [@maxtime] ) RETURN IF ( HASONEVALUE ( Shift[Shift] ), SUMX ( FILTER ( Data_Second, Data_Second[Time] IN groupbyindexcumulatemax ), Data_Second[Production] ) )
6 Replies
- amitchandakSuper User
Ibad_Khan , create a new column
Column = var _max = Minx(filter(Data, [Shift] = EARLIER([Shift]) && [Time] > EARLIER([Time])), [Time])
Var _val = Minx(filter(Data, [Shift] = EARLIER([Shift]) && [Time] =_max ), [Production])
return if(_val =0 , [Production], BLANK())You can use this in measure now
- Ibad_KhanHelper II
amitchandak it's not calculating properly.
- Jihwan_KimSuper User
Hi,
Please check the below picturea and the attached pbix file.
desired outcome measure: = VAR newtable = ADDCOLUMNS ( Data, "@index", IF ( Data[Production] = 0, 1, 0 ) ) VAR indexcumulatetable = ADDCOLUMNS ( newtable, "@indexcumulate", SUMX ( FILTER ( newtable, Data[Time] <= EARLIER ( Data[Time] ) ), [@index] ) ) VAR groupbyindexcumulatemax = SUMMARIZE ( GROUPBY ( indexcumulatetable, Shift[Shift], [@indexcumulate], "@maxtime", MAXX ( CURRENTGROUP (), Data[Time] ) ), [@maxtime] ) RETURN SUMX ( FILTER ( data, Data[Time] IN groupbyindexcumulatemax ), Data[Production] )- Ibad_KhanHelper II
Hey Jihwan_Kim thanks alot for your support and quick responce. It's working corrctly according to given condition, but I got an other scenario that if the next value is less than current value (not specifically 0) than consider current value as the Max of counter for calculating production.
Below is the sample data for your understanding,
Date Time Shift Production 8/4/2022 7:04:00 AM Shift A 10 8/4/2022 7:06:00 AM Shift A 15 8/4/2022 7:08:00 AM Shift A 0 8/4/2022 7:10:00 AM Shift A 5 8/4/2022 7:12:00 AM Shift A 10 8/4/2022 7:14:00 AM Shift A 15 8/4/2022 7:16:00 AM Shift A 20 8/4/2022 7:18:00 AM Shift A 25 8/4/2022 7:20:00 AM Shift A 30 8/4/2022 7:22:00 AM Shift B 5 8/4/2022 7:24:00 AM Shift B 10 8/4/2022 7:26:00 AM Shift B 15 8/4/2022 7:28:00 AM Shift B 20 8/4/2022 7:30:00 AM Shift B 4 8/4/2022 7:32:00 AM Shift B 5 8/4/2022 7:34:00 AM Shift B 10 8/4/2022 7:36:00 AM Shift B 15 8/4/2022 7:38:00 AM Shift B 20 8/4/2022 7:40:00 AM Shift B 0 9/4/2022 7:00:00 AM Shift A 2 9/4/2022 7:02:00 AM Shift A 4 9/4/2022 7:04:00 AM Shift A 6 9/4/2022 7:06:00 AM Shift A 2 9/4/2022 7:08:00 AM Shift A 4 9/4/2022 7:10:00 AM Shift A 1 9/4/2022 7:12:00 AM Shift A 4 9/4/2022 7:14:00 AM Shift A 6 9/4/2022 7:16:00 AM Shift A 8 9/4/2022 7:18:00 AM Shift A 10 9/4/2022 7:20:00 AM Shift A 12 9/4/2022 7:22:00 AM Shift B 0 9/4/2022 7:24:00 AM Shift B 2 9/4/2022 7:26:00 AM Shift B 4 9/4/2022 7:28:00 AM Shift B 6 9/4/2022 7:30:00 AM Shift B 0 9/4/2022 7:32:00 AM Shift B 4 9/4/2022 7:34:00 AM Shift B 6 9/4/2022 7:36:00 AM Shift B 8 9/4/2022 7:38:00 AM Shift B 10 9/4/2022 7:40:00 AM Shift B 2 Desired output is:
8/4/2022 Shift A 45 8/4/2022 Shift B 40 9/4/2022 Shift A 22 9/4/2022 Shift B 16 Looking forward for your responce.
- Jihwan_KimSuper User
Hi,
Please check the attached pbix file.
Regarding 9/4/2022 shiftB, I am not sure but I added the last production number (2) and the number shows 18.
desired outcome measure V2: = VAR newtable = ADDCOLUMNS ( ADDCOLUMNS ( Data_Second, "@previousvalue", VAR _currentdate = Data_Second[Date] VAR _currenttime = Data_Second[Time] VAR _currentshift = Data_Second[Shift] VAR _previoustime = MAXX ( FILTER ( Data_Second, Data_Second[Shift] = _currentshift && Data_Second[Date] = _currentdate && Data_Second[Time] < _currenttime ), Data_Second[Time] ) VAR _previousvalue = MAXX ( FILTER ( Data_Second, Data_Second[Shift] = _currentshift && Data_Second[Date] = _currentdate && Data_Second[Time] = _previoustime ), Data_Second[Production] ) RETURN _previousvalue ), "@index", IF ( [@previousvalue] == BLANK () || Data_Second[Production] < [@previousvalue], 1, 0 ) ) VAR indexcumulatetable = ADDCOLUMNS ( newtable, "@indexcumulate", SUMX ( FILTER ( newtable, Data_Second[Time] <= EARLIER ( Data_Second[Time] ) ), [@index] ) ) VAR groupbyindexcumulatemax = SUMMARIZE ( GROUPBY ( indexcumulatetable, Shift[Shift], [@indexcumulate], "@maxtime", MAXX ( CURRENTGROUP (), Data_Second[Time] ) ), [@maxtime] ) RETURN IF ( HASONEVALUE ( Shift[Shift] ), SUMX ( FILTER ( Data_Second, Data_Second[Time] IN groupbyindexcumulatemax ), Data_Second[Production] ) )