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dkushner's avatar
dkushner
Frequent Visitor
8 years ago
Solved

Additional filter into measure

Hello everybody,

I have a table of values

ID

CounterNumber

ReqDateT

DataDateT

SummAPlus

68511

139

2018-02-06 17:14:45.000

2018-02-05 00:00:00.000

11632,8

68512

139

2018-02-06 17:14:54.000

2018-02-05 00:00:00.000

11632,8

68529

149

2018-02-06 17:17:16.000

2018-02-05 00:00:00.000

1075

68530

149

2018-02-06 17:17:20.000

2018-02-05 00:00:00.000

1075

68599

1

2018-02-06 17:22:51.000

2018-02-05 00:00:00.000

4933,6

68600

1

2018-02-06 17:22:55.000

2018-02-05 00:00:00.000

4933,6

68629

139

2018-02-06 21:00:16.000

2018-02-05 00:00:00.000

11632,8

68638

149

2018-02-06 21:02:23.000

2018-02-05 00:00:00.000

1075

68673

1

2018-02-06 21:06:54.000

2018-02-05 00:00:00.000

4933,6

68159

139

2018-02-05 07:00:24.000

2018-02-04 00:00:00.000

14162,4

68168

149

2018-02-05 07:02:31.000

2018-02-04 00:00:00.000

926,8

68203

1

2018-02-05 07:07:43.000

2018-02-04 00:00:00.000

5631,6

I need to select max value of SummAPlus for the each of CounterNumber by DataDateT

I can do it by:

ConsumedEnergy D = Max(PowerCountersPreviousDay[SummAPlus])

sumdeltaD  = SUMX(FILTER(ALLSELECTED(PowerCountersPreviousDay[DataDateT]),lastdate(PowerCountersPreviousDay[DataDateT])),PowerCountersPreviousDay[ConsumedEnergy D]) 

 

 

 

and now I need to summarize consumption by several CounterNumbers, and I don't understand how to do it.

 

 

I will appreciate any help. Thanks

  • Hi dkushner,

     

    From the description of your replay, you should create a calculated table first in the formula below to get the max value of SummAPlus for the each of CounterNumber by DataDateT.

     

    Table =
    SUMMARIZE (
        PowerCountersPreviousDay,
        PowerCountersPreviousDay[DataDateT],
        PowerCountersPreviousDay[CounterNumber],
        "Sumsingle", MAX ( 'PowerCountersPreviousDay'[SummAPlus] )
    )

    Then, you could the measure :

     

    Bussiness Unit =
    VAR count1sum =
        CALCULATE (
            SUM ( 'Table'[Sumsingle] ),
            FILTER ( ALL ( 'Table'[CounterNumber] ), 'Table'[CounterNumber] = 1 )
        )
    VAR count139sum =
        CALCULATE (
            SUM ( 'Table'[Sumsingle] ),
            FILTER ( ALL ( 'Table'[CounterNumber] ), 'Table'[CounterNumber] = 139 )
        )
    VAR count149sum =
        CALCULATE (
            SUM ( 'Table'[Sumsingle] ),
            FILTER ( ALL ( 'Table'[CounterNumber] ), 'Table'[CounterNumber] = 149 )
        )
    RETURN
        count139sum + count1sum
            - count149sum

    This picture of the result is below:

     

     

     

    For  more details, you could refer to this pbix file.

     

    Hope it can help you!

     

    Best Regards,

    Cherry

5 Replies

  • v-piga-msft's avatar
    v-piga-msft
    Resident Rockstar

    Hi dkushner

     

    If I understand your requirement correctly, you could create group with New Group to  summarize consumption by several CounterNumbers. As the picture below:

     

     

    For how to create the group, you could refer to this article.

     

    For more details about the result picture above, you could refer to my pbix file here.

     

    Additionally, you could provide your expectant result demo that I could help you create the visual.

     

    In  your convenience, could you share a dummy pbix file which can reproduce the scenario, so that we can help further investigate on it? You can upload it to OneDrive or Dropbox and post the link here. Do mask sensitive data before uploading.)

     

    Best Regards,

    Cherry  

    • dkushner's avatar
      dkushner
      Frequent Visitor

      Dear Cherry,

       

      Thank you very much for your help, but grouping is not exactly what I need. Or may be I don’t understand how to use it in my case ))

      Let me explain my task a little bit wider:

      I have a table with metering values of power counters (now I am talking about the table PowerCountersPreviousDay)

      In this table there are metering values for the previous period and this data are repeated several times, for example:

      ID

      CounterNumber

      ReqDateT

      DataDateT

      SummAPlus

      SummAMinus

      SummRPlus

      SummRMinus

      TransformationCoef

      69439

      1

      2018-02-10 11:07:13.000

      2018-02-09 00:00:00.000

      7526

      -1

      5651,6

      -1

      400

      69498

      1

      2018-02-10 15:07:08.000

      2018-02-09 00:00:00.000

      7526

      -1

      5651,6

      -1

      400

      69734

      1

      2018-02-11 01:08:14.000

      2018-02-10 00:00:00.000

      4370,8

      -1

      3270

      -1

      400

      69837

      1

      2018-02-11 17:25:38.000

      2018-02-10 00:00:00.000

      4370,8

      -1

      3270

      -1

      400

      69838

      1

      2018-02-11 17:25:42.000

      2018-02-10 00:00:00.000

      4370,8

      -1

      3270

      -1

      400

      69955

      1

      2018-02-12 17:26:05.000

      2018-02-11 00:00:00.000

      6194,8

      -1

      5055,2

      -1

      400

      69956

      1

      2018-02-12 17:26:09.000

      2018-02-11 00:00:00.000

      6194,8

      -1

      5055,2

      -1

      400

      70029

      1

      2018-02-12 23:07:26.000

      2018-02-11 00:00:00.000

      6194,8

      -1

      5055,2

      -1

      400

      70088

      1

      2018-02-13 02:06:09.000

      2018-02-12 00:00:00.000

      4372,8

      -1

      3777,6

      -1

      400

      69395

      139

      2018-02-10 11:00:20.000

      2018-02-09 00:00:00.000

      15817,8

      -1

      7865,4

      -1

      600

      69454

      139

      2018-02-10 15:00:20.000

      2018-02-09 00:00:00.000

      15817,8

      -1

      7865,4

      -1

      600

      69513

      139

      2018-02-10 17:16:17.000

      2018-02-09 00:00:00.000

      15817,8

      -1

      7865,4

      -1

      600

      69514

      139

      2018-02-10 17:16:26.000

      2018-02-09 00:00:00.000

      15817,8

      -1

      7865,4

      -1

      600

      69690

      139

      2018-02-11 01:00:18.000

      2018-02-10 00:00:00.000

      14913,6

      -1

      7365

      -1

      600

      69749

      139

      2018-02-11 17:17:17.000

      2018-02-10 00:00:00.000

      14913,6

      -1

      7365

      -1

      600

      69750

      139

      2018-02-11 17:17:26.000

      2018-02-10 00:00:00.000

      14913,6

      -1

      7365

      -1

      600

      69867

      139

      2018-02-12 17:17:39.000

      2018-02-11 00:00:00.000

      5952

      -1

      3001,2

      -1

      600

      69868

      139

      2018-02-12 17:17:47.000

      2018-02-11 00:00:00.000

      5952

      -1

      3001,2

      -1

      600

      69985

      139

      2018-02-12 23:00:20.000

      2018-02-11 00:00:00.000

      5952

      -1

      3001,2

      -1

      600

      70044

      139

      2018-02-13 02:00:09.000

      2018-02-12 00:00:00.000

      3350,4

      -1

      1525,8

      -1

      600

      69404

      149

      2018-02-10 11:02:26.000

      2018-02-09 00:00:00.000

      1068,6

      -1

      369,8

      -1

      100

      69463

      149

      2018-02-10 15:02:25.000

      2018-02-09 00:00:00.000

      1068,6

      -1

      369,8

      -1

      100

      69531

      149

      2018-02-10 17:18:49.000

      2018-02-09 00:00:00.000

      1068,6

      -1

      369,8

      -1

      100

      69699

      149

      2018-02-11 01:02:33.000

      2018-02-10 00:00:00.000

      992,8

      -1

      357,9

      -1

      100

      69767

      149

      2018-02-11 17:20:01.000

      2018-02-10 00:00:00.000

      992,8

      -1

      357,9

      -1

      100

      69768

      149

      2018-02-11 17:20:05.000

      2018-02-10 00:00:00.000

      992,8

      -1

      357,9

      -1

      100

      69885

      149

      2018-02-12 17:20:10.000

      2018-02-11 00:00:00.000

      978,2

      -1

      380,5

      -1

      100

       

      I need to calculate a power consumption for the Business units, a formula looks like this = (SummAPlus of CounterNumber 1) +(SummAPlus of CounterNumber 139) - (SummAPlus of CounterNumber 149)

      It is very easy for each specific day, but I need automatic scaling for month, year and so on.

      For this purpose I need to select only 1 row from the table for each DataDateT

      For more convenient investigation, my pbix file with data is here.

       

      Best regards, Dmitry

      • v-piga-msft's avatar
        v-piga-msft
        Resident Rockstar

        Hi dkushner

         

        From the details you provide, if I understand your requirement correctly, you could use Data Hierarchy to get the Business Units of Year, Month or Day. You could create the measure :

        Business Units = 
        var count1sum =CALCULATE(SUM(PowerCountersPreviousDay[SummAPlus]),FILTER(ALL(PowerCountersPreviousDay[CounterNumber]),PowerCountersPreviousDay[CounterNumber]=1)) 
        var count139sum = CALCULATE(SUM(PowerCountersPreviousDay[SummAPlus]),FILTER(ALL(PowerCountersPreviousDay[CounterNumber]),PowerCountersPreviousDay[CounterNumber]=139) ) 
        var count149sum = CALCULATE(SUM(PowerCountersPreviousDay[SummAPlus]),FILTER(ALL(PowerCountersPreviousDay[CounterNumber]),PowerCountersPreviousDay[CounterNumber]=149)) 
        RETURN 
        count139sum+count1sum-count149sum

        You could refer to this picture below:

         

         

         

        Reference for pbix file

         

        Hope it can help you!

         

        Best Regards,

        Cherry