DAX formula for Calculated column

Hi Kaustub 

I think you didn't show me the logic of 16/5 in your sample. Here I build a sample to have a test. 

My Data table is the same as your screenshot. I think you want to create a calculated column to calcualte daily output based on logic. 24/7 should be the average of month day, 24/6 shoule be the average of month day without Sunday and so on.

Firstly I create a date table by dax.

Date = 
ADDCOLUMNS (
    CALENDARAUTO (),
    "Year", YEAR ( [Date] ),
    "Month", MONTH ( [Date] ),
    "Day", DAY ( [Date] ),
    "DayName", FORMAT ( [Date], "DDDD" ),
    "YearMonth",
        YEAR ( [Date] ) * 100
            + MONTH ( [Date] )
)

I suggest you to create a YearMonth column in Data table first then create Planned Daily OutPut.

YEARMONTH = 
YEAR('Table'[Month&Year])*100+MONTH('Table'[Month&Year])

Planned Daily OutPut =
VAR _CountDay24_7 =
    CALCULATE (
        COUNTROWS ( 'Date' ),
        FILTER ( 'Date', 'Date'[YearMonth] = EARLIER ( 'Table'[YEARMONTH] ) )
    )
VAR _CountDay24_6 =
    CALCULATE (
        COUNTROWS ( 'Date' ),
        FILTER (
            'Date',
            'Date'[YearMonth] = EARLIER ( 'Table'[YEARMONTH] )
                && 'Date'[DayName] <> "Sunday"
        )
    )
VAR _CountDay24_5 =
    CALCULATE (
        COUNTROWS ( 'Date' ),
        FILTER (
            'Date',
            'Date'[YearMonth] = EARLIER ( 'Table'[YEARMONTH] )
                && NOT ( 'Date'[DayName] IN { "Saturday", "Sunday" } )
        )
    )
VAR _CountDay24_4 =
    CALCULATE (
        COUNTROWS ( 'Date' ),
        FILTER (
            'Date',
            'Date'[YearMonth] = EARLIER ( 'Table'[YEARMONTH] )
                && NOT ( 'Date'[DayName] IN { "Friday", "Saturday", "Sunday" } )
        )
    )
VAR _LogicCount =
    SWITCH (
        'Table'[Shift Configuration],
        "24/7", _CountDay24_7,
        "24/6", _CountDay24_6,
        "24/5", _CountDay24_5,
        "24/4", _CountDay24_4,
        BLANK ()
    )
RETURN
    DIVIDE ( 'Table'[Monthly Planned OutPut], _LogicCount )

 Result is as below.

Best Regards,
Rico Zhou

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