calculation of the cumulative total of the previous month

[forbi]

I have a metric that calculates cumulative purchases over 30 rolling days:

Cumulative purchases to date =
CALCULATE(
SUM(tab[nb_visits]),
FILTER(
ALLSELECTED(tab),
tab[ref_date] >= MAX(MyCalendar[Date]) - 30
&& tab[ref_date] <= MAX(MyCalendar[Date])
)
)
I want to create a DAX measure called cumulative purchases at m-1 which will calculate the cumulative for the previous month over 30 rolling days

Desired result:
date - cumulative purchases - cumulative purchases at m-1
02/25/2020 - 35 - 18
02/24/2020 - 30 - 16
02/23/2020 - 25 - 14
02/22/2020 - 20 - 12
02/21/2020 - 15 - 10
02/20/2020 - 10 - 8

knowing that the data for the month of December are:
date - cumulative purchases
01/25/2020 - 18
01/24/2020 - 16
01/23/2020 - 14
01/22/2020 - 12
01/21/2020 - 10
01/20/2020 - 8

[Anonymous · Accepted solution]

Hi @forbi ,

According to your description, here are my steps you can follow as a solution.

(1) My test data is the same as yours.

(2) We can create a measure.

cumulative purchases at m-1 = 
var _date=MAX('MyCalendar'[Date])-31
RETURN CALCULATE([cumulative purchases],FILTER(ALLSELECTED('tab'),'tab'[date]=_date))

(3) Then the result is as follows.

If the above one can't help you get the desired result, please provide some sample data in your tables (exclude sensitive data) with Text format and your expected result with backend logic and special examples. It is better if you can share a simplified pbix file. Thank you.

Best Regards,

Neeko Tang

If this post  helps, then please consider Accept it as the solution  to help the other members find it more quickly. 

[forbi · Accepted solution]

Hello,
I would like to share the solution that I found and which meets my needs,
Regards
___________________________________________________
cumulative purchases = 

  VAR __Date = LASTDATE(date[Date])
  VAR __PrvEndDate = __Date
  VAR __PrvStartDate = 
    CALCULATE(
        MIN(tab[date]),
        FILTER(
            ALLSELECTED(tab),
            [purshases - M-1] <> BLANK()
        )
    )
RETURN
CALCULATE(
    SUM(tab[purchases]),
    FILTER(
       ALLSELECTED(tab),
        tab[date] >= __PrvStartDate
        && tab[date] <= __PrvEndDate
    )
)

purshases - M-1 = VAR __Date = MAX(date[Date])
  VAR __PrvEndDate = __Date - 30
  VAR __PrvStartDate = __Date - 60
RETURN
CALCULATE(
    SUM(tab[purshases]),
    FILTER(
        ALLSELECTED(tab),
        tab[date] >= __PrvStartDate
        && tab[date] <= __PrvEndDate
    )
)

[Anonymous · Accepted solution]

Hi @forbi ,

According to your description, here are my steps you can follow as a solution.

(1) My test data is the same as yours.

(2) We can create a measure.

cumulative purchases at m-1 = 
var _date=MAX('MyCalendar'[Date])-31
RETURN CALCULATE([cumulative purchases],FILTER(ALLSELECTED('tab'),'tab'[date]=_date))

(3) Then the result is as follows.

If the above one can't help you get the desired result, please provide some sample data in your tables (exclude sensitive data) with Text format and your expected result with backend logic and special examples. It is better if you can share a simplified pbix file. Thank you.

Best Regards,

Neeko Tang

If this post  helps, then please consider Accept it as the solution  to help the other members find it more quickly. 

[Greg_Deckler]

@forbi So like this?

Cumulative purchases previous 30 days =
  VAR __Date = MAX(MyCalendar[Date])
  VAR __PrvEndDate = __Date - 31
  VAR __PrvStartDate = __Date - 61
  VAR __Table = FILTER(ALLSELECTED('tab'), [Date] >= __PrvStartDate && [Date] <= __PrvEndDate)
  VAR __Result = SUMX( __Table, [nb_visits] )
RETURN
  __Result

[forbi]

Thank you but it does not work 😕 
when I create a table like this, column cumulative purchases at m-1 remains empty
date - cumulative purchases - cumulative purchases at m-1
02/25/2020 - 35 - 
02/24/2020 - 30 - 
02/23/2020 - 25 - 
02/22/2020 - 20 - 
02/21/2020 - 15 - 
02/20/2020 - 10 - 
I want a result like that :
date - cumulative purchases - cumulative purchases at m-1
02/25/2020 - 35 - 18
02/24/2020 - 30 - 16
02/23/2020 - 25 - 14
02/22/2020 - 20 - 12
02/21/2020 - 15 - 10
02/20/2020 - 10 - 8