Skip to main content
cancel
Showing results for 
Search instead for 
Did you mean: 

Register now to learn Fabric in free live sessions led by the best Microsoft experts. From Apr 16 to May 9, in English and Spanish.

Reply
Jansco
Helper I
Helper I

Count consecutive positives and negatives

I have measures (not columns) that total sales for the last 7 days, the 7 days before that, the 7 days before that (3 weeks prior) and the 7 days before that (4 weeks prior).

I need a count of whether weekly consecutive sales were up or down (total num weeks up and total Num weeks down will be measures in my table visual).

Also, this data is by customer in my table visual.
3 REPLIES 3
v-shex-msft
Community Support
Community Support

Hi @Jansco ,

You can consider to use 'weeknum' and 'year' as group to summary your records, then you can compare the difference between current week and previous week.

Diff =
VAR currDate =
    MAX ( Calendar[Date] )
VAR prevDate =
    DATE ( YEAR ( currDate ), MONTH ( currDate ), DAY ( curDate ) - 7 )
VAR curWeek =
    CALCULATE (
        SUM ( Table[Sales] ),
        FILTER (
            ALLSELECTED ( Table ),
            YEAR ( [Date] ) = YEAR ( currDate )
                && WEEKNUM ( [Date], 1 ) = WEEKNUM ( currDate, 1 )
        )
    )
VAR preWeek =
    CALCULATE (
        SUM ( Table[Sales] ),
        FILTER (
            ALLSELECTED ( Table ),
            YEAR ( [Date] ) = YEAR ( prevDate )
                && WEEKNUM ( [Date], 1 ) = WEEKNUM ( prevDate, 1 )
        )
    )
RETURN
    curWeek - preWeek

If above no help, please provide some sample data and expected result for test.

Regards,

Xiaoxin Sheng

Community Support Team _ Xiaoxin
If this post helps, please consider accept as solution to help other members find it more quickly.

My measures are set up like this:

SalesLast7 =calculate(sum(‘SalesTable’[Sales]),
(Datesinperiod(date[date], selevtedvslue (date[date])-1,-7,day)

SalesTwoWeeksPrior =
=calculate(sum(‘SalesTable’[Sales]),
(Datesinperiod(date[date], selevtedvslue (date[date])-8,-7,day)

I discovered a formula like the one below will work, but it takes FOREVER. Is there a faster way?

 

Num Consec Ups 60 Days =

 

SWITCH(

    TRUE (),

    [*Sales Last 7 Days vs 60 Day Avg]>0

    && [*Sales 2 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 3 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 4 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 5 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 6 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 7 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 8 Weeks Prior vs 60 Day Avg]>0 ,8,

 

   [*Sales Last 7 Days vs 60 Day Avg]>0

    && [*Sales 2 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 3 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 4 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 5 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 6 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 7 Weeks Prior vs 60 Day Avg]>0,7,

 

    [*Sales 2 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 3 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 4 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 5 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 6 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 7 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 8 Weeks Prior vs 60 Day Avg]>0 ,7,

 

   [*Sales Last 7 Days vs 60 Day Avg]>0

    && [*Sales 2 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 3 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 4 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 5 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 6 Weeks Prior vs 60 Day Avg]>0,6,

 

    [*Sales 3 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 4 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 5 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 6 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 7 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 8 Weeks Prior vs 60 Day Avg]>0 ,6,

 

    [*Sales 2 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 3 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 4 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 5 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 6 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 7 Weeks Prior vs 60 Day Avg]>0,6,

 

     [*Sales Last 7 Days vs 60 Day Avg]>0

    && [*Sales 2 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 3 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 4 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 5 Weeks Prior vs 60 Day Avg]>0,5,

 

    [*Sales 2 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 3 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 4 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 5 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 6 Weeks Prior vs 60 Day Avg]>0,5,

 

    [*Sales 3 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 4 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 5 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 6 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 7 Weeks Prior vs 60 Day Avg]>0,5,

 

    [*Sales 4 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 5 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 6 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 7 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 8 Weeks Prior vs 60 Day Avg]>0 ,5,

 

    [*Sales Last 7 Days vs 60 Day Avg]>0

    && [*Sales 2 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 3 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 4 Weeks Prior vs 60 Day Avg]>0, 4,

 

    [*Sales 2 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 3 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 4 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 5 Weeks Prior vs 60 Day Avg]>0, 4,

 

    [*Sales 3 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 4 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 5 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 6 Weeks Prior vs 60 Day Avg]>0, 4,

 

    [*Sales 4 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 5 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 6 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 7 Weeks Prior vs 60 Day Avg]>0, 4,

 

    [*Sales 5 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 6 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 7 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 8 Weeks Prior vs 60 Day Avg]>0 ,4,

 

    [*Sales Last 7 Days vs 60 Day Avg]>0

    && [*Sales 2 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 3 Weeks Prior vs 60 Day Avg]>0,3,

 

    [*Sales 2 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 3 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 4 Weeks Prior vs 60 Day Avg]>0,3,

 

     [*Sales 3 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 4 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 5 Weeks Prior vs 60 Day Avg]>0,3,

 

    [*Sales 4 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 5 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 6 Weeks Prior vs 60 Day Avg]>0,3,

 

    [*Sales 5 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 6 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 7 Weeks Prior vs 60 Day Avg]>0,3,

 

    [*Sales 6 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 7 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 8 Weeks Prior vs 60 Day Avg]>0 ,3,

 

    [*Sales Last 7 Days vs 60 Day Avg]>0

    && [*Sales 2 Weeks Prior vs 60 Day Avg]>0,2,

 

    [*Sales 2 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 3 Weeks Prior vs 60 Day Avg]>0,2,

 

    [*Sales 3 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 4 Weeks Prior vs 60 Day Avg]>0,2,

 

    [*Sales 4 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 5 Weeks Prior vs 60 Day Avg]>0,2,

 

    [*Sales 5 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 6 Weeks Prior vs 60 Day Avg]>0,2, 

 

    [*Sales 6 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 7 Weeks Prior vs 60 Day Avg]>0,2,

 

    [*Sales 7 Weeks Prior vs 60 Day Avg]>0

    && [*Sales 8 Weeks Prior vs 60 Day Avg]>0 ,2,

 

BLANK())

Hi @Jansco ,

If you can please share a sample pbix file for test, it is hard to modify dax formula without any detail sample data.

Regards,

Xiaoxin Sheng

Community Support Team _ Xiaoxin
If this post helps, please consider accept as solution to help other members find it more quickly.

Helpful resources

Announcements
Microsoft Fabric Learn Together

Microsoft Fabric Learn Together

Covering the world! 9:00-10:30 AM Sydney, 4:00-5:30 PM CET (Paris/Berlin), 7:00-8:30 PM Mexico City

PBI_APRIL_CAROUSEL1

Power BI Monthly Update - April 2024

Check out the April 2024 Power BI update to learn about new features.

April Fabric Community Update

Fabric Community Update - April 2024

Find out what's new and trending in the Fabric Community.

Top Solution Authors