WINDOW function doesn't work with the selection of filters in the report

[IuliaB]

Hello,

I have a report where I need to calculate and display a moving average.

My table looks like the one below. It includes issues with their changes in status and the time each issue spent in each status.

For each issue I need to calculate an average of a window of 5 issues (2 issues before, the issue, 2 issues after ordered by Update DateTime) .

I used the following formula:

MA = CALCULATE

           ( [Average TimeDays],

              WINDOW(-2,REL,2,REL,

                               ALLSELECTED(FactIssueStatus),

                                ORDERBY(FactIssueStatus[Update DateTime], ASC),

                                PARTITIONBY(FactIssueStatus[StatusName])

                              )

            )

The formula seems to be working when  is applied on the entire table, however when we are using the slicers in the report, it doesn't work anymore. 

I assumed it's because of the ALLSELECTED() used in the formula. I treid to replace it with a CALCULATETABLE(FactIssueStatus, FactIssue[StatusName]=[Selected Status]), where [Selected Status]=SELECTEDVALUE(FactIssue[StatusName]) with no success.

Is it possible to adjust the formula so that it will work also when using filters in the report?

Thank you!

[pandbh1989]

Hi,

I have a similar issue/requirement.  I am calculating moving average of 3 weeks on a YTD weekly sales data. 

Sample Example -  Assuming hypothetical data below arranged by weeks from latest weeks as 0 to prior weeks decremented by -1.

In my Visual i want to display latest 7 weeks sales and their moving average.

Any idea how to ignore filters on visual or page while using a window function

---------INPUT DATA---------

Weeks           Sales      Moving Avg (Rolling 3 weeks)

0                    50           60

-1                   60           70

-2                   70           80

-3                   80           90

-4                   90           100

-5                   100         110

-6                   110          120

-7                   120           130

-8                   130           140  

-9                    140          150

------------------------Expected OUTPUT-------------------

Weeks           Sales      Moving Avg (Rolling 3 weeks)

0                    50           60

-1                   60           70

-2                   70           80

-3                   80           90

-4                   90           100

-5                   100         110

-6                   110          120

--------------------OUTPUT Achieved --------------

Weeks           Sales      Moving Avg (Rolling 3 weeks)

0                    50           60

-1                   60           70

-2                   70           80

-3                   80           90

-4                   90           100

-5                   100         110

-6                   110          110

Have a filter on visual to include weeks till -6,  after using window function as below  value for moving average for week -6 is same 110 but ideally we expect 120.

Measure =  AverageX(  Window(-2, REL,0, REL, SUMMARIZE( ALL(DATA), [Weeks]), Order By ([Weeks], ASC) ), SUm(SAles) )

[lbendlin]

Seems to work fine for me

[lbendlin]

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