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Helper III
Helper III

DAX Query for last 24 month using dax studio

Hello Everyone, 
Need some help with the DAX query. I copied the DAX from the performance analyzer but need to add a dynamic filter formula can anyone take a look and provide any suggestions? instead of the dates, I need the last 24 months of date listed under VAR __DS0FilterTable2 

I tried this 
    VAR __DS0FilterTable2 = 
            AND('dimDate'[FullDate] >= DATEADD('dimDate'[FullDate],-24,Month), 'dimDate'[FullDate] < DATEADD('dimDate'[FullDate],0,Month))
it is giving blank value

// DAX Query
    VAR __DS0FilterTable = 
        TREATAS({"Y"}, 'dimDOTCarry'[IsActive])

    VAR __DS0FilterTable2 = 
            AND('dimDate'[FullDate] >= DATE(2021, 7, 21), 'dimDate'[FullDate] < DATE(2023, 7, 21))

    VAR __DS0FilterTable3 = 
        TREATAS({4}, 'dimDOTCarrierInfo'[FMSID])

    VAR __DS0Core = 
            'dimCrash'[Crash Date],
            'dimCrash'[Report Number],

Thank you so much for the time. 

Helper III
Helper III

Thank you for your reply, 
I was wondering if it is possible to just calculate the filter for the date rather than using it for any fact field like calculate ( sum(Table[Value]). 
Please let me know if there is any way to do it 

Super User
Super User

@Nepal101 , Last 24 month based on today 


24 month Today =
var _min = date(year(today()), month(today())-24,day(today()) )
var _max = today()
CALCULATE([Net], FILTER('Date','Date'[Date] >=_min && 'Date'[Date] <= _max))

All About Time Intelligence around Today:


If you want select date and want aggregated 24 months values


Rolling 12 Sales =
var _max = maxx(allselected(date),date[date]) // or today()
var _min = date(year(_max), month(_max)-12,1)
CALCULATE(SUM(Sales[Sales Amount]),filter(all(date), date[date] <=_max && date[date] >=_min))


If you need trend then you need slicer on independent table


//Date1 is independent Date table, Date is joined with Table
new measure =
var _max = maxx(allselected(Date1),Date1[Date])
var _min = date(year(_max), month(_max)-24, Day(_max))
calculate( sum(Table[Value]), filter('Date', 'Date'[Date] >=_min && 'Date'[Date] <=_max))


Need of an Independent Date Table:


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