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Anonymous's avatar
Anonymous
Not applicable
6 years ago
Solved

Store Expansion calculation

 

Dears, 

I have a customer table and these customers are opening like stores, I want to calculate the new stores that opened for each then calculates the average growth. 

 

I have an open date and store id for each.

General Comment
Need Help
Tips and Tricks
  • v-juanli-msft's avatar
    v-juanli-msft
    6 years ago

    Hi Anonymous 

    Would you like result below:

    count open = DISTINCTCOUNT('Table 2'[store id])

growth % =
VAR m1 =
    DISTINCTCOUNT ( 'Table 2'[store id] ) + 0
VAR m2 =
    CALCULATE (
        DISTINCTCOUNT ( 'Table 2'[store id] ) + 0,
        DATEADD ( 'Date'[Date], -1, MONTH )
    )
VAR s = m1 - m2
RETURN
    IF ( m2 = 0, s / 1, s / m2 )

    Date table

    Date =
ADDCOLUMNS (
    CALENDARAUTO (),
    "year", YEAR ( [Date] ),
    "month", FORMAT ( [Date], "Mmm" ),
    "year-month", FORMAT ( [Date], "yyyy-mm" )
)

     

    Best Regards
    Maggie
    Community Support Team _ Maggie Li
    If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

3 Replies

  • Pragati11's avatar
    Pragati11
    Icon for Super User rankSuper User
    6 years ago

    Hi Anonymous ,

     

    It will be nice to have some sample data here so that proper calculations can be suggested.

     

    Thanks,

    Pragati

  • amitchandak's avatar
    amitchandak
    Icon for Super User rankSuper User
    6 years ago

    Anonymous , growth is related to period. You can use time intelligence. You can join start date with a date table. and then have measure store open this month , last month an calculate gowth

    example

    MTD Sales = CALCULATE(SUM(Sales[Sales Amount]),DATESMTD('Date'[Date]))
last MTD Sales = CALCULATE(SUM(Sales[Sales Amount]),DATESMTD(dateadd('Date'[Date],-1,MONTH)))

diff = [MTD Sales]-[last MTD Sales]
diff % = divide([MTD Sales]-[last MTD Sales],[last MTD Sales])

QTD Sales = CALCULATE(SUM(Sales[Sales Amount]),DATESQTD(('Date'[Date])))
Last QTD Sales = CALCULATE(SUM(Sales[Sales Amount]),DATESQTD(dateadd('Date'[Date],-1,QUARTER)))

YTD Sales = CALCULATE(SUM(Sales[Sales Amount]),DATESYTD('Date'[Date],"12/31"))
Last YTD Sales = CALCULATE(SUM(Sales[Sales Amount]),DATESYTD(dateadd('Date'[Date],-1,Year),"12/31"))

     

    To get the best of the time intelligence function. Make sure you have a date calendar and it has been marked as the date in model view. Also, join it with the date column of your fact/s. Refer :
    https://radacad.com/creating-calendar-table-in-power-bi-using-dax-functions
    https://www.archerpoint.com/blog/Posts/creating-date-table-power-bi
    https://www.sqlbi.com/articles/creating-a-simple-date-table-in-dax/

    See if my webinar on Time Intelligence can help: https://community.powerbi.com/t5/Webinars-and-Video-Gallery/PowerBI-Time-Intelligence-Calendar-WTD-YTD-LYTD-Week-Over-Week/m-p/1051626#M184


    Appreciate your Kudos.

  • v-juanli-msft's avatar
    v-juanli-msft
    Icon for Community Support rankCommunity Support
    6 years ago

    Hi Anonymous 

    Would you like result below:

    count open = DISTINCTCOUNT('Table 2'[store id])

growth % =
VAR m1 =
    DISTINCTCOUNT ( 'Table 2'[store id] ) + 0
VAR m2 =
    CALCULATE (
        DISTINCTCOUNT ( 'Table 2'[store id] ) + 0,
        DATEADD ( 'Date'[Date], -1, MONTH )
    )
VAR s = m1 - m2
RETURN
    IF ( m2 = 0, s / 1, s / m2 )

    Date table

    Date =
ADDCOLUMNS (
    CALENDARAUTO (),
    "year", YEAR ( [Date] ),
    "month", FORMAT ( [Date], "Mmm" ),
    "year-month", FORMAT ( [Date], "yyyy-mm" )
)

     

    Best Regards
    Maggie
    Community Support Team _ Maggie Li
    If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.