Calculate Active Members

[LaurenTSloan]

Hi!  I am trying to calculate "active customers" in a given month.  I am at a standsi

Here is the data set.  I want a distinct count of program numbers but only count those where Customer Enrolled = 1 for a given month.  For example, the first two would be counted in Jan, Feb, March, April, May, June, July, August.  The 7th one on the table would also count in september and in these other months. If customer enrolled is 0, that program number would not be in any month.  I have tried the following.

Cummulative Distinct Count = TOTALYTD(DISTINCTCOUNT('Table'[Program_No]),d_Date[CalendarDate])

Terminations Unitl Previous Month = TOTALYTD(CALCULATE(DISTINCTCOUNT('Table'[Program_No]),USERELATIONSHIP(d_Date[CalendarDate],'MHK Program'[Program End Date]),DATEADD(d_Date[CalendarDate],-1,MONTH)),d_Date[CalendarDate])

Active Members = [Cummulative Distinct Count]-[Terminations Unitl Previous Month]

Program_No	Program Start Date	Program End Date	Customer Enrolled
P2200399039	1/3/2022	8/3/2022	1
P2200336838	1/3/2022	8/4/2022	1
P2200347181	1/3/2022	8/1/2022	1
P2200484315	1/4/2022	8/7/2022	1
P2200449729	1/4/2022	8/1/2022	1
P2200416122	1/4/2022	8/7/2022	1
P2201432207	1/14/2022	9/12/2022	1
P2201768200	1/17/2022	11/23/2022	1
P2201773512	1/17/2022	8/11/2022	1
P2201753833	1/17/2022	10/3/2022	1
P2201735989	1/17/2022	8/3/2022	1
P2201846268	1/18/2022	10/20/2022	1
P2201869106	1/18/2022	11/29/2022	1
P2201867142	1/18/2022	1/26/2023	0
P2201842158	1/18/2022	10/31/2022	0
P2201813974	1/18/2022	8/5/2022	1
P2201868596	1/18/2022	9/19/2022	1
P2201898799	1/18/2022	12/23/2022	1
P2201813261	1/18/2022	9/28/2022	1
P2201846294	1/18/2022	8/15/2022	1
P2202054448	1/20/2022	8/8/2022	0
P2202077917	1/20/2022	9/22/2022	1
P2202030467	1/20/2022	8/11/2022	1
P2202539602	1/25/2022	1/12/2023	0
P2202676340	1/26/2022	1/12/2023	0
P2202644106	1/26/2022	11/21/2022	1
P2203333550	2/2/2022	8/24/2022	1
P2203540012	2/4/2022	8/11/2022	0
P2204193603	2/10/2022	11/28/2022	1
P2204549564	2/14/2022	8/7/2022	1
P2204581262	2/14/2022	8/11/2022	1
P2204532390	2/14/2022	1/12/2023	0
P2204741062	2/16/2022	11/11/2022	1
P2204876074	2/17/2022	9/16/2022	1
P2205349649	2/22/2022	10/25/2022	1
P2205435050	2/23/2022	1/5/2023	0

[LaurenTSloan]

Wow!  Thank you.  I think I am close and this is amazing.  I have a few differnt names of tables and dates from my date table so added them here.  I got an error when I tried to add this as a count to my visual.  The error is: 

Couldn’t load the data for the visual.

MdxScript (Model) (28.13) Calculation error in measure “Measure Tables’[Active member test]: The arguments in Generate Series function cannot be blank. thoughts?  Below is my draft query.

Active member Test =

Var Dates =

         CALCULATETABLE (

        VALUES ( d_Date[CalendarDate]),

        ALLEXCEPT ( d_Date, d_Date[CalendarMonthDesc] )

    )

VAR __count =

    GENERATE (

        SUMMARIZE (

            FILTER ( 'MHK Program', 'MHK Program'[Members Enrolled] = 0 ),

            'MHK Program'[Program_No],

            'MHK Program'[Program Start Date],

            'MHK Program'[Program End Date]

        ),

        ADDCOLUMNS (

            GENERATESERIES (

                CONVERT ( 'MHK Program'[Program Start Date], INTEGER ),

                CONVERT ( 'MHK Program'[Program End Date], INTEGER ),

                1

            ),

            "Date", CONVERT ( [Value], DATETIME )

                    )

    )

VAR match =

    SUMMARIZE ( FILTER ( __count, ( [Date] ) IN dates ), 'MHK Program'[Program_No] )

RETURN

    COUNTROWS ( match )

[smpa01]

One of the columns might be blank

        GENERATESERIES (
                CONVERT ( 'MHK Program'[Program Start Date], INTEGER ),
                CONVERT ( 'MHK Program'[Program End Date], INTEGER ),
                1
            )

[smpa01 · Accepted solution]

@LaurenTSloan  does this work ?

Measure = 
VAR dates =
    CALCULATETABLE (
        VALUES ( 'calendar'[Date] ),
        ALLEXCEPT ( 'calendar', 'calendar'[YrMo] )
    )
VAR __count =
    GENERATE (
        SUMMARIZE (
            FILTER ( 'fact', 'fact'[Customer Enrolled] = 0 ),
            'fact'[Program_No],
            'fact'[Program Start Date],
            'fact'[Program End Date]
        ),
        ADDCOLUMNS (
            GENERATESERIES (
                CONVERT ( 'fact'[Program Start Date], INTEGER ),
                CONVERT ( 'fact'[Program End Date], INTEGER ),
                1
            ),
            "Date", CONVERT ( [Value], DATETIME )
        )
    )
VAR match =
    SUMMARIZE ( FILTER ( __count, ( [Date] ) IN dates ), [Program_No] )
RETURN
    COUNTROWS ( match )

PFA

[smpa01]

Fix on subtotal level

Measure 2 = IF (HASONEVALUE('calendar'[YrMo]), [Measure],CALCULATE(SUMX(ALL('calendar'[YrMo]),[Measure])))