New column with value from previous (last) date

[gwaczoka]

Hi guys,

can someone please help me with this issue:

I would like to have in another column product flag from previous date (not DAY-1, but last previous) 

I've found a solution for similar problem:

Previous Day Sales = 

CALCULATE(
    SUM(Table2[Sales]),
    LASTDATE(
    FILTER(
        ALL(Table2[Date] ),
        Table2[Date] < EARLIER([Date]) 
        )
    ), 
    ALLEXCEPT(Table2,Table2[Store ID])
)

but I have two variables: ID and vendor

Can you please help me to achieve a solution like in Column E?

Date	ID	Vendor	Product flag
19.09.2022	1	A	1
19.09.2022	1	B	0
19.09.2022	1	C	0
20.09.2022	2	A	0
20.09.2022	2	B	1
20.09.2022	2	C	1
21.09.2022	3	A	1
21.09.2022	3	B	1
21.09.2022	3	C	1
22.09.2022	4	A	1
22.09.2022	4	B	0
22.09.2022	4	C	1

[gwaczoka]

Hey, can anyone please help? 😞 

[Greg_Deckler]

@gwaczoka Try:

Column = 
    VAR __Date = [Date]
    VAR __Vendor = [Vendor]
    VAR __Last = MAXX(FILTER('Table2',[Date] < __Date && [Vendor] = __Vendor),[Date])
    VAR __Result = MAXX(FILTER('Table2',[Date] = __Last && [Vendor] = __Vendor),[Product flag])
RETURN
    __Result

[gwaczoka]

Hi Greg,

thank you for the response and  sorry for late reply.

It doesn't work, because there is no information about ID of the product included 😞
It is in the second column, might looks like hidden

[Anonymous]

Hi @gwaczoka,

Can you please share a pbix or some dummy data that keep the raw data structure with expected results? It should help us clarify your scenario and test to coding formula.

How to Get Your Question Answered Quickly  

Regards,

Xiaoxin Sheng

[gwaczoka]

Hi,

can it like this? Maybe it's not a pbix, but it should help.
In the last column you can find excepted result, notice that I deleted vendor C for ID 3, so previous flag for day 22.09 is getting the data not from 21, but from 20.09

looking quickly at the table, it is easy not to notice that there is a column B with ID, but it's important

Date	ID	Vendor	Product flag	Previous flag
19.09.2022	1	A	1
19.09.2022	1	B	0
19.09.2022	1	C	1
20.09.2022	2	A	0	1
20.09.2022	2	B	1	0
20.09.2022	2	C	0	1
21.09.2022	3	A	1	0
21.09.2022	3	B	1	1
22.09.2022	4	A	1	1
22.09.2022	4	B	0	1
22.09.2022	4	C	1	0