Dynamic column name when selecting filter

[Rajendrabobade]

Hi ,

I need help ,  whne i select filter on year then my column header name sholud be same as filter selection.

eg:I am creating volume measure calculated column  for curret year and previous year , whnever i am select year my column name need to automtically chnage as selcetd in filter.

when i select year filter -FY 20 need same as below , i want same for other year selction as well .

if i slecet FY 19 then prvious year column name change automtically to FY 18.

category type	FY 19	FY 20
	previous year	currnt year
A	33	44
B	4564	655

[Anonymous · Accepted solution]

Hi @Rajendrabobade ,

1.My sample data is this.

DateSalescategory type

1/1/2020	1	A
5/5/2020	2	A
3/3/2020	3	A
4/4/2020	6	A
6/6/2020	5	A
5/7/2019	4	A
4/6/2019	1	A
7/7/2019	2	A
1/1/2019	3	A
7/7/2018	6	A
5/5/2018	4	A
9/9/2018	8	A
7/7/2018	7	A
8/4/2017	7	A
7/7/2017	9	A
1/1/2017	9	A
5/5/2017	6	A
6/6/2017	1	A
1/1/2020	1	B
5/5/2020	5	B
3/3/2020	4	B
4/4/2020	7	B
6/6/2020	8	B
5/7/2019	9	B
4/6/2019	6	B
7/7/2019	5	B
1/1/2019	1	B
7/7/2018	2	B
5/5/2018	3	B
9/9/2018	6	B
7/7/2018	4	B
8/4/2017	1	B
7/7/2017	5	B
1/1/2017	4	B
5/5/2017	7	B
6/6/2017	1	B

2.Create a fiscal calendar, starting with May of each year.

Calendar =
ADDCOLUMNS (
    CALENDARAUTO ( 4 ),
    "Fiscal year",
        VAR fy =
            IF (
                MONTH ( [Date] ) <= 4,
                VALUE ( FORMAT ( [Date], "YY" ) ) - 1,
                VALUE ( FORMAT ( [Date], "YY" ) )
            )
        RETURN
            CONCATENATE ( "FY ", fy )
)

3.Create a Fiscal year table by entering data.

4.The relationships are as follows.

5.Create a measure to filter the current year and the previous year.

Measure = 
VAR _year =
    SELECTEDVALUE ( 'Fiscal year'[FY] )
RETURN
    CALCULATE (
        SUM ( 'Table'[Sales] ),
        FILTER (
            'Calendar',
            [Fiscal year] = _year
                || [Fiscal year]
                    = "FY "
                        & RIGHT ( _year, 2 ) - 1
        )
    )
v

6.Put the measure into the Values of the matrix. The result is this.

You can check more details from here.

Best Regards,

Stephen Tao

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