How to calculate sum of values by last date and distinct key

[anttijarvinen]

Hi!
I have a problem where I need to calculate sum (and average) of values, by only using the last applicable date (filtered by date-filter), and only using distinct keys related to the values.

Example of data:

Key	Value	Date
a	1	1.1.2023
a	2	2.1.2023
a	3	3.1.2023
b	3	10.2.2023
b	2	20.2.2023
b	1	10.5.2023
c	5	5.2.2023
c	5	6.2.2023
c	5	23.5.2023

Dates can be very randomly distributed (based on modification of data).

For example if user filter date = 1.3.2023, applicable rows would be: (last rows before that point of time)

a

3

3.1.2023

b

2

20.2.2023

c

5

6.2.2023

Which would return 8 for sum.

I couldn't find a case with such complexity, only simpler sumx distinct examples, but I also need to dynamically consider which is the last applicable date by that point of time.

Thank you

Antti Järvinen

[FreemanZ · Accepted solution]

hi @anttijarvinen 

not sure if i fully get you. try to

1) plot a slicer with a calculated table like:

dates = CALENDAR(MIN(data[Date]), MAX(data[Date]))

2) plot a measure like:

measure = 
VAR _table2 =
ADDCOLUMNS(
    VALUES(data[Key]),
    "Date",
    CALCULATE(
        MAX(data[date]),
        data[date]<=MAX(dates[date])
    )
)
RETURN
CALCULATE(
    SUM(data[value]),
    TREATAS(_table2, data[Key], data[date])
)

it worked like:

Only a has a 3.

a has 3, b as 2, c has 5

[anttijarvinen]

Thank you, your idea works with small modifications to my use case, and therefore I accepted it as solution 🙂
(I didn't remember to specify in my original post that I need to plot the result of this function (y) against date (x), and so I further had to remove the relationship between data and calendar tables to make your solution work).
Otherwise, I think I would need to use e.g. ALL function somehow.. maybe you have an idea how to further modify the DAX-function to not be required to remove the relationship?