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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,
Solved! Go to Solution.
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
    )
)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
    )
)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
    )
)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
    )
)@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,
 
					
				
				
			
		
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