Forum Discussion
Recursive Calculation and Forecast measure
- 3 years ago
Hi murillocosta
Such fully recursive problems cannot be handled by DAX straight forward. A helper table that suits your case shall be needed to handle the recursion. The solution is a bet difficult to understand and it should be carefully design to suit each case independently (cannot be generalized) nevertheless, what ever the chosen details of the solution, the general idea remains the same.You need to import the Fibonacci table as is and use the DAX as is. However, your real data might not be as I expected, therefore some changes might be required.
Please note that such reports should have limited flexibility in terms of the columns used to slice. Slicing by different column(s) might require changing the code. You need to understand that this is a limitation of the DAX language for the time being, hopping future updates will curry new features of the language such as loops that can help performing recursive calculations much more easier.
Also Please note that there is a rounding error with this method and the results shall not be 100% accurate.
Please refer to the sample file with the solutionForecast Count = VAR W = CALCULATE ( MAX ( 'Table'[Year Week Sort] ), REMOVEFILTERS ( ) ) -- with real data would be VAR LastDateWithData 'Table'[Date] and then VAR W = YEAR ( LastDateWithData ) * 100 + WEEKNUM ( LastDateWithData ) VAR CW = MAX ( 'Date'[Year Week Sort] ) VAR S4 = CALCULATE ( [CounRef], 'Date'[Year Week Sort] = W, ALLSELECTED ( ) ) VAR S3 = CALCULATE ( [CounRef], 'Date'[Year Week Sort] = W - 1, ALLSELECTED ( ) ) VAR S2 = CALCULATE ( [CounRef], 'Date'[Year Week Sort] = W - 2, ALLSELECTED ( ) ) VAR S1 = CALCULATE ( [CounRef], 'Date'[Year Week Sort] = W - 3, ALLSELECTED ( ) ) VAR SelectedWeeks = ALLSELECTED ( 'Date'[Year Week Sort] ) VAR WeeksOnAndBefore = FILTER ( SelectedWeeks, 'Date'[Year Week Sort] > W && 'Date'[Year Week Sort] <= CW ) VAR Ranking = COUNTROWS ( WeeksOnAndBefore ) RETURN SUMX ( FILTER ( FibonacciTable, FibonacciTable[Index] = Ranking ), FibonacciTable[Value1] * S1 + FibonacciTable[Value2] * S2 + FibonacciTable[Value3] * S3 + FibonacciTable[Value3] * S4 ) - 3 years ago
murillocosta
Here you go
Hi murillocosta
Attached your sample file updated with the dynamiuc solution
Total Outbound Final 2 =
VAR Periods = [Number of Periods Value]
VAR TotalOutBound = [Total Outbound]
VAR W = CALCULATE ( MAX ( 'SUMMARIZE'[Week Rank] ), 'SUMMARIZE'[Total Outbound] <> 0, REMOVEFILTERS ( ) )
VAR CW = MAX ( 'SUMMARIZE'[Week Rank] )
VAR SelectedWeeks = CALCULATETABLE ( VALUES ( 'SUMMARIZE'[Week Rank] ), ALLSELECTED ( ) )
VAR WeeksOnAndBefore =
FILTER(
SelectedWeeks,
'SUMMARIZE'[Week Rank] > W && 'SUMMARIZE'[Week Rank] <= CW
)
VAR CurrentIndex = COUNTROWS ( WeeksOnAndBefore )
VAR T1 = SELECTCOLUMNS ( GENERATESERIES ( 1, Periods, 1 ), "@ValueInex", [Value] )
VAR T2 =
ADDCOLUMNS (
T1,
"@Value",
VAR ValueIndex = [@ValueInex]
RETURN
CALCULATE ( [Total Outbound], 'SUMMARIZE'[Week Rank] = W + ValueIndex - Periods, ALLSELECTED ( ) )
)
VAR Result =
SUMX (
T2,
VAR CurrentValue = [@Value]
VAR FibTable =
FILTER (
Fibonacci_Table,
Fibonacci_Table[Index] = CurrentIndex
&& Fibonacci_Table[Period Index] = Periods
&& Fibonacci_Table[Value Index] = [@ValueInex]
)
VAR FibValue = MAXX ( FibTable, Fibonacci_Table[Value] )
RETURN
CurrentValue * FibValue
)
RETURN
Result + TotalOutBound
Hello, tamerj1
I stumbled upon this post while searching for a solution similar to the one you provided. I need to calculate data based on previously calculated data using the same metric. Your solution is truly impressive! Thank you for sharing it.
Now, I'm working on adapting it to my needs, and I'm hopeful that I'll manage to make it work. Regarding the Fibonacci_Table, is that the only method available for performing such calculations?