Forum Discussion

sam_hoccane's avatar
sam_hoccane
Helper I
4 years ago
Solved

Calculating based on Previous Rows

Hi All, 

 

Data---> FILE

 

I have following querry: 

 

I  want to create a measure that can calculate future emission (i.e. Forecast =Y) with 15 Percent of increase.  To get the acquired furure results I want to take June total  emission from month of August as it considered as to peak  emission month. For Septemeber forecast, I would like to multiply with 15%  to August Emission value.  Smilarly for October forecast,   I multiply 15% with  Septemeber emission. 

 

I tried with following measure but it is not  giving acquired results. 

 

Thankyou in anticipation,

 

Forecast Emission with 15% Increase =
VAR CurrentEmission = SUM ( Data[Emission] )
VAR CurrentMonth = SELECTEDVALUE ( data[Year_Month] )
VAR CurrentForcast = SELECTEDVALUE ( Data[Forecast] )
VAR PreviousMonths = FILTER ( ALLSELECTED ( Data ), data[Year_Month] < CurrentMonth )
VAR PreviousN_Months = FILTER ( PreviousMonths, Data[Forecast] = "N" )
VAR PreviousN_Month = MAXX ( PreviousN_Months, data[Year_Month] )
VAR PreviousN_Emission = SUMX ( FILTER ( PreviousN_Months, data[Year_Month] = PreviousN_Month ), Data[Emission] )
VAR YearMonthOnly = DISTINCT ( SELECTCOLUMNS ( PreviousMonths, "@YearMonth", Data[Year_Month] ) )
VAR NumberOfY_Months = COUNTROWS ( FILTER ( YearMonthOnly, [@YearMonth] > PreviousN_Month && [@YearMonth] <= CurrentMonth ) ) + 1
VAR Result =
    IF (
        CurrentForcast = "N",
        CurrentEmission,
        PreviousN_Emission * POWER ( 1.15, NumberOfY_Months )
    )
RETURN
    Result
  • tamerj1's avatar
    tamerj1
    4 years ago

    Hi sam_hoccane 
    Here is the sample file with the modification https://www.dropbox.com/t/w8M4gpY3GYZeSNKa

    Comulative 30% Increase = 
SUMX ( 
    VALUES ( data[Year_Month] ),
    CALCULATE (
        VAR Percentage = 0.3
        VAR CurrentDate = MAX (  data[Date] )
        VAR CurrentForecast = SELECTEDVALUE ( data[Forecast] )
        VAR CurrentEmission = SUM ( data[Emission] )
        VAR SummaryTable = 
            CALCULATETABLE ( 
                SUMMARIZE ( 
                    Data, 
                    data[Year_Month], 
                    "@Date", MAX ( data[Date] ),
                    "@Forcast", SELECTEDVALUE ( data[Forecast] ),
                    "@Emission", SUM ( data[Emission] )
                ),
                ALLEXCEPT ( data, data[Travel Source], data[Manager] )
            )
        VAR NTable = FILTER ( SummaryTable, [@Forcast] = "N" )
        VAR YTable = FILTER ( SummaryTable, [@Forcast] = "Y" )
        VAR Last2NRecords = TOPN ( 2, NTable, [@Date] )
        VAR PenultimateNDate = MINX ( Last2NRecords, [@Date] )
        VAR PenultimateNEmission= MINX ( FILTER ( Last2NRecords, [@Date] = PenultimateNDate ), [@Emission] )
        VAR YTableBefore = FILTER ( YTable, [@Date] < CurrentDate )
        VAR Result =
            IF ( 
                CurrentForecast = "N",
                CurrentEmission,
                PenultimateNEmission * POWER ( 1 + Percentage, COUNTROWS ( YTableBefore ) )
            )
        RETURN
            Result
    )
)

7 Replies

  • tamerj1's avatar
    tamerj1
    Community Champion
    4 years ago

    Hi sam_hoccane 
    well, it wasn't easy. Please refer to the sample file wit the solution https://www.dropbox.com/t/cEbymwCwrT06CJz6

    Comulative 30% Increase = 
SUMX ( 
    VALUES ( data[Year_Month] ),
    CALCULATE (
        VAR Percentage = 0.3
        VAR CurrentDate = MAX (  data[Date] )
        VAR CurrentForecast = SELECTEDVALUE ( data[Forecast] )
        VAR CurrentEmission = SUM ( data[Emission] )
        VAR SummaryTable = 
            CALCULATETABLE ( 
                SUMMARIZE ( 
                    Data, 
                    data[Year_Month], 
                    "@Date", MAX ( data[Date] ),
                    "@Forcast", SELECTEDVALUE ( data[Forecast] ),
                    "@Emission", SUM ( data[Emission] )
                ),
                ALL ( data )
            )
        VAR NTable = FILTER ( SummaryTable, [@Forcast] = "N" )
        VAR YTable = FILTER ( SummaryTable, [@Forcast] = "Y" )
        VAR Last2NRecords = TOPN ( 2, NTable, [@Date] )
        VAR PenultimateNDate = MINX ( Last2NRecords, [@Date] )
        VAR PenultimateNEmission= MINX ( FILTER ( Last2NRecords, [@Date] = PenultimateNDate ), [@Emission] )
        VAR YTableBefore = FILTER ( YTable, [@Date] < CurrentDate )
        VAR Result =
            IF ( 
                CurrentForecast = "N",
                CurrentEmission,
                PenultimateNEmission * POWER ( 1 + Percentage, COUNTROWS ( YTableBefore ) )
            )
        RETURN
            Result
    )
)
    • sam_hoccane's avatar
      sam_hoccane
      Helper I
      4 years ago

      tamerj1 : Thankyou so much for helping me in this...

       

      Last question if use slicer of Manager and Travel Source on measure, it  is not giving desired results. how can I manuplate the above masure to satisfy this condition. 

       

       

       

      Many Thanks,

  • tamerj1's avatar
    tamerj1
    Community Champion
    4 years ago

    Hi sam_hoccane 
    Here is the sample file with the modification https://www.dropbox.com/t/w8M4gpY3GYZeSNKa

    Comulative 30% Increase = 
SUMX ( 
    VALUES ( data[Year_Month] ),
    CALCULATE (
        VAR Percentage = 0.3
        VAR CurrentDate = MAX (  data[Date] )
        VAR CurrentForecast = SELECTEDVALUE ( data[Forecast] )
        VAR CurrentEmission = SUM ( data[Emission] )
        VAR SummaryTable = 
            CALCULATETABLE ( 
                SUMMARIZE ( 
                    Data, 
                    data[Year_Month], 
                    "@Date", MAX ( data[Date] ),
                    "@Forcast", SELECTEDVALUE ( data[Forecast] ),
                    "@Emission", SUM ( data[Emission] )
                ),
                ALLEXCEPT ( data, data[Travel Source], data[Manager] )
            )
        VAR NTable = FILTER ( SummaryTable, [@Forcast] = "N" )
        VAR YTable = FILTER ( SummaryTable, [@Forcast] = "Y" )
        VAR Last2NRecords = TOPN ( 2, NTable, [@Date] )
        VAR PenultimateNDate = MINX ( Last2NRecords, [@Date] )
        VAR PenultimateNEmission= MINX ( FILTER ( Last2NRecords, [@Date] = PenultimateNDate ), [@Emission] )
        VAR YTableBefore = FILTER ( YTable, [@Date] < CurrentDate )
        VAR Result =
            IF ( 
                CurrentForecast = "N",
                CurrentEmission,
                PenultimateNEmission * POWER ( 1 + Percentage, COUNTROWS ( YTableBefore ) )
            )
        RETURN
            Result
    )
)
  • tamerj1's avatar
    tamerj1
    Community Champion
    4 years ago

    Hi sam_hoccane 

    please try

    Comulative 30% Increase =
SUMX (
    VALUES ( data[Year_Month] ),
    CALCULATE (
        VAR Percentage = 0.3
        VAR CurrentDate =
            MAX ( data[Date] )
        VAR CurrentForecast =
            SELECTEDVALUE ( data[Forecast] )
        VAR CurrentEmission =
            SUM ( data[Emission] )
        VAR SummaryTable =
            CALCULATETABLE (
                SUMMARIZE (
                    Data,
                    data[Year_Month],
                    "@Date", MAX ( data[Date] ),
                    "@Forcast", SELECTEDVALUE ( data[Forecast] ),
                    "@Emission", SUM ( data[Emission] )
                ),
                ALLSELECTED ( data )
            )
        VAR NTable =
            FILTER ( SummaryTable, [@Forcast] = "N" )
        VAR YTable =
            FILTER ( SummaryTable, [@Forcast] = "Y" )
        VAR Last2NRecords =
            TOPN ( 2, NTable, [@Date] )
        VAR PenultimateNDate =
            MINX ( Last2NRecords, [@Date] )
        VAR PenultimateNEmission =
            MINX ( FILTER ( Last2NRecords, [@Date] = PenultimateNDate ), [@Emission] )
        VAR YTableBefore =
            FILTER ( YTable, [@Date] < CurrentDate )
        VAR Result =
            IF (
                CurrentForecast = "N",
                CurrentEmission,
                PenultimateNEmission
                    * POWER ( 1 + Percentage, COUNTROWS ( YTableBefore ) )
            )
        RETURN
            Result
    )
)