applying date filters to a calculated table (subset)

[CarlsBerg999]

Hi,

My table looks like the following:

Transaction ID	Account ID	Attribute mod.	Value €	Value
70345	320664	Lost	4 200,00	25/08/2022
70345	320664	New	4 200,00	05/05/2021
70345	320664	Sourced	4 200,00
80142	340033	Lost	5 400,00	15/02/2021
80142	340033	Conference	5 400,00	19/08/2020
80142	340033	New	5 400,00	01/01/2020
80142	340033	Sourced	5 400,00
91100	320664	Lost	4 200,00	22/03/2021
91100	320664	New	4 200,00	05/01/2021
91100	320664	Sourced	4 200,00

What i need to do, is to count how many Transaction ID's have been lost during a selected period. However, the transaction should not have specfic items in the Attribute Mod. -column. Assuming the selected date is 31.12.2022 the table above should only return transaction ID 70345 because it is lost during 2022 but it does not have a Conference, Called or Sourced -attributes associated with it. 

My Measure is presented below. My problem is with the dates. The variables return correct dates but the RETURN -part of the measure ignores the date restrictions. The other restrictions work fine. 

How do i apply a filter to the measure below, so that the Lost date must be between 1.1.2022 and 31.12.2022? 

VAR Selected_Date_less_365 = [Funnel: Selected Date (EOMONTH)]-365 //This takes 31.12.2022 - 365

VAR Selected_Date1 = [Funnel: Selected Date (EOMONTH)] // is 31.12.2022

RETURN

COUNTROWS(

    CALCULATETABLE(

        FILTER(

            CALCULATETABLE(VALUES(Table[Transaction ID])),

                    ISEMPTY(CALCULATETABLE('Table',

                    'Table'[Attribute mod.]="Conference"))

                &&

                    ISEMPTY(CALCULATETABLE('Table',

                    'Table'[Attribute mod.]="Sourced"))

                &&

                    ISEMPTY(CALCULATETABLE('Table',

                    'Table'[Attribute mod.]="Called"))

                &&

                    NOT ISEMPTY(CALCULATETABLE('Table',

                    'Table'[Attribute mod.]="Lost"))

                &&

                    NOT ISEMPTY(CALCULATETABLE('Table',

                    Table[Value]>Selected_Date_less_365,

                    Table[Value]<=Selected_Date1,

                    FILTER(Table,Table[Earliest Signed Contract]>Selected_Date_less_365),

                    FILTER(Table,Table[Earliest Signed Contract]<=Selected_Date1)))),

        CROSSFILTER(DateTable[Date],'Related_Table'[End Date],none)))

[Greg_Deckler · Accepted solution]

@CarlsBerg999 I would do it this way, PBIX is attached below signature.

Measure = 
    VAR __Date = MAX('Dates'[Date])
    VAR __BeginDate = DATE(YEAR(__Date),1,1)
    VAR __Table = FILTER(ALL('Table'),[Value]>=__BeginDate && [Value]<=__Date)
    VAR __LostIDs = DISTINCT(SELECTCOLUMNS(FILTER(__Table,[Attribute mod.] = "Lost"),"__TransactionID",[Transaction ID]))
    VAR __OtherIDs = DISTINCT(SELECTCOLUMNS(FILTER(__Table,[Attribute mod.] = "Conference" || [Attribute mod.] = "Sourced" || [Attribute mod.] = "Called"),"__TransactionID",[Transaction ID]))
    VAR __Result = COUNTROWS(EXCEPT(__LostIDs, __otherIDs))
RETURN
    __Result

[CarlsBerg999]

Hi,

Thank you! This is very close, but this loses one important functionality, unless you can solve it: Can you figure out a way in which we can add multiple conditions to left table (Lost IDs)? In other words, I need to also calculate how many transactions were Lost despite being Called. 

As count rows that: 

[Attribute mod.] = "Lost"

&&

[Attribute mod.] = "Called"

But exclude the others listed in left table (Conference, Sourced). Because the data is in the same column, i can't just add a second condition to the filter