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

July 7 - July 17 | Round 2 of the Power BI Dataviz World Championships. Don't miss your chance! Learn more

Reply
Abhaykumar
Microsoft Employee
Microsoft Employee

Sum over specific range

I have a table Jobs:

 

2017-09-14 19_09_17-Untitled - Query Editor.jpg

 

 

 

 

 

 

 

 

 

 

 

 

 

And another table DaySeries (for X-Axis):

 

2017-09-14 19_12_47-Untitled - Query Editor.jpg

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

There is many to one relationship between Jobs[Day] -> DaySeries[Days].

I want  to display total number jobs in previous 10 days (including that day).

So: for each value X from DaySeries[Days] , SUM(Jobs[Jobs])   if Jobs[Day] is in previous 10 days of X.

I have these integers as days value and not actual dates.

I tried using calculate and filter but unable to form the condition for filter.

 

Thanks for your help!

1 ACCEPTED SOLUTION
v-ljerr-msft
Microsoft Employee
Microsoft Employee

Hi @Abhaykumar,

 

Based on my test, you should be able to use the formula below to create a measure to get the total number jobs in previous 10 days (including that day) in your scenario. Smiley Happy

Measure =
VAR currentDay =
    MAX ( DaySeries[Days] )
RETURN
    CALCULATE (
        SUM ( Jobs[Jobs] ),
        FILTER (
            ALL ( DaySeries ),
            DaySeries[Days]
                > currentDay - 10
                && DaySeries[Days] <= currentDay
        )
    )

r2.PNG

 

Regards

View solution in original post

4 REPLIES 4
v-ljerr-msft
Microsoft Employee
Microsoft Employee

Hi @Abhaykumar,

 

Based on my test, you should be able to use the formula below to create a measure to get the total number jobs in previous 10 days (including that day) in your scenario. Smiley Happy

Measure =
VAR currentDay =
    MAX ( DaySeries[Days] )
RETURN
    CALCULATE (
        SUM ( Jobs[Jobs] ),
        FILTER (
            ALL ( DaySeries ),
            DaySeries[Days]
                > currentDay - 10
                && DaySeries[Days] <= currentDay
        )
    )

r2.PNG

 

Regards

Thanks @v-ljerr-msft, that worked for me!.

Anonymous
Not applicable

Before offering a solution, i'd first query whether you are writing yourself into a corner.  By only specifying DAY, how will you make sure you aren't lining up data from different months?  Or is it a case of wanting to do that?

 

Also want to know how you will had the math for days 1 to 9?  If we are looking at past 10 days, do you loop back around to 31?  Will you get bad information when the prior month was 28 or 30 days?

 

If i could offer some advice, i'd use a DATE column, then for your Axis, you can display using the 'DAY' portion of the date.  This can be done either by Formatting the date into DD-MMMM format, or creating a calcualted column that gets your existing DAY.  Now you can easily get the last 10 days using the visual, selecting sum and placing in a Relative Date Slicer to only show last 10 days.

@Anonymous, I am always concerned with last 50-100 days and do not need to know specific date/month. My users are aware of the situation in which first X days would not have all data if I look back X days. Also 10 is just a placeholder, it can be some varying number depending on requirement. 

What we want is to compare different sequence of events as they progress over time, not necesssarily at the same time. Hence we have data normalized to day 1 and then onwards. Let me know if you need any other info.

Helpful resources

Announcements
FabCon and SQLCon Barcelona 2026

FabCon & SQLCon – Barcelona 2026

Join us in Barcelona for FabCon and SQLCon, the Fabric, Power BI, SQL, and AI community event. Save €200 with code FABCMTY200.

60 days of Data Days Carousel

Data Days 2026

Join Fabric Data Days 2026: 60 days of free live/on-demand sessions, challenges, study groups, and certification opportunities.

Power BI DataViz World Championships carousel

Power BI DataViz World Championships - June 2026

A new Power BI DataViz World Championship is coming this June! Don't miss out on submitting your entry.