aggregation at customer name level

[Hemant_Jaiswar]

desired output 

Month Total 2023 Total 2024 LFL 2023 LFL 2024

Jan

20

35

20

27

Feb

21

31

21

22

Mar

20

37

20

28

Apr

32

33

12

33

Goal:

1. Total 2023: Sum the sales for 2023 for each month.
2. Total 2024: Sum the sales for 2024 for each month.
3. LFL 2023: For each month, calculate the total 2023 sales only for stores that have sales in both 2023 and 2024 for that same month.
4. LFL 2024: For each month, calculate the total 2024 sales only for stores that have sales in both 2023 and 2024 for that same month.

data

Month Store 2023 Sales 2024 Sales

Jan

S23

10

12

Jan

S24

10

15

Jan

S25

(blank)

8

Feb

S23

12

11

Feb

S24

9

11

Feb

S25

(blank)

9

Mar

S23

(blank)

9

Mar

S24

15

18

Mar

S25

5

10

Apr

S23

20

(blank)

Apr

S24

2

21

Apr

S25

10

12

[Ashish_Mathur]

Why have you posted this question multiple times.  See my response here - context change - Microsoft Fabric Community

[Anonymous]

Hi @Hemant_Jaiswar ,

I want to acknowledge valuable input provided by Kedar_Pande  . Their initial ideas help guide my approach. However, I noticed that more details are needed to fully understand this issue.

(1) Create a column.

Flag = IF([2023 Sales]<>BLANK() && [2024 Sales]<> BLANK(),1,0) 

(2) Then create a new table.

Table 2 = 
ADDCOLUMNS (
    VALUES ( 'Table'[Month] ),
    "Total 2023",
        CALCULATE (
            SUM ( 'Table'[2023 Sales] ),
            FILTER ( 'Table', 'Table'[Month] = EARLIER ( 'Table'[Month] ) )
        ),
    "Total 2024",
        CALCULATE (
            SUM ( 'Table'[2024 Sales] ),
            FILTER ( 'Table', 'Table'[Month] = EARLIER ( 'Table'[Month] ) )
        ),
    "LFL 2023",
        CALCULATE (
            SUM ( 'Table'[2023 Sales] ),
            FILTER ( 'Table', [Flag] = 1 && 'Table'[Month] = EARLIER ( 'Table'[Month] ) )
        ),
    "LFL 2024",
        CALCULATE (
            SUM ( 'Table'[2024 Sales] ),
            FILTER ( 'Table', [Flag] = 1 && 'Table'[Month] = EARLIER ( 'Table'[Month] ) )
        )
)

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. 

[Hemant_Jaiswar]

no 

• LFL 2023: For each month, calculate the total 2023 sales only for stores that have sales in both 2023 and 2024 for that same month.
• LFL 2024: For each month, calculate the total 2024 sales only for stores that have sales in both 2023 and 2024 for that same month.
  and in my output there is only month dimension
  

  Month Total 2023 Total 2024 LFL 2023 LFL 2024

  Jan

  20

  35

  20

  27

  Feb

  21

  31

  21

  22

  Mar

  20

  37

  20

  28

  Apr

  32

  33

  12

  33

[Kedar_Pande]

@Hemant_Jaiswar 

Use the following DAX measures:

Total 2023 = SUM('Table'[2023 Sales])

Total 2024 = SUM('Table'[2024 Sales])

LFL 2023 = 
CALCULATE(
SUM('Table'[2023 Sales]),
FILTER(
'Table',
NOT(ISBLANK('Table'[2023 Sales])) &&
NOT(ISBLANK('Table'[2024 Sales]))
)
)

LFL 2024 = 
CALCULATE(
SUM('Table'[2024 Sales]),
FILTER(
'Table',
NOT(ISBLANK('Table'[2023 Sales])) &&
NOT(ISBLANK('Table'[2024 Sales]))
)
)

Create a table visual with Month as rows and the four measures as columns.