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

Level up your Power BI skills this month - build one visual each week and tell better stories with data! Get started

Reply
Anonymous
Not applicable

Making a moving average backwards

Hello everyone!
I Have the follow problem, I want to do a moving average backwards.
for example, as the table below:

DateValue
01/01/201910
02/01/201911
03/01/201914
04/01/201915
05/01/201918
06/01/201919
07/01/201918
08/01/201920
09/01/201914
10/01/201925


So what I want to show is: On date 10/01/2019, the value that must show is 25. 
On day 09/01/2019, it must show the average between day 10 and 9, given me a total of 19,5  (That is (20+14)/2)
On day 08/01, it must show an average of the days 10, 9 and 8, given me a total of 19,6 (That is (20+14+25)/3)
On day 07/01 must show the average of the day 10,9,8,7 and so on....

How can I do this?

Thank you!

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

Hi @Anonymous 

You may create a measure like below:

Measure =
DIVIDE (
    CALCULATE (
        SUM ( Table2[Value] ),
        FILTER ( ALL ( Table2 ), Table2[Date] >= MAX ( Table2[date] ) )
    ),
    COUNTROWS ( FILTER ( ALL ( Table2 ), Table2[Date] >= MAX ( Table2[date] ) ) )
)

1.png

Regards,

Cherie

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

View solution in original post

2 REPLIES 2
smpa01
Community Champion
Community Champion

let
    Source = Web.Page(Web.Contents("https://community.powerbi.com/t5/Desktop/Making-a-moving-average-backwards/m-p/649510#M311441")),
    Data0 = Source{0}[Data],
    #"Promoted Headers" = Table.PromoteHeaders(Data0, [PromoteAllScalars=true]),
    #"Changed Type" = Table.TransformColumnTypes(#"Promoted Headers",{{"Date", type date}, {"Value", Int64.Type}}),
    #"Sorted Rows" = Table.Sort(#"Changed Type",{{"Date", Order.Descending}}),
    #"Added Index" = Table.AddIndexColumn(#"Sorted Rows", "Index", 1, 1),
    Custom1 = List.Skip(List.Accumulate(#"Added Index"[Value],{0},(state,current)=> state&{List.Last(state)+current})),
    Custom2 = Table.FromColumns(Table.ToColumns(#"Added Index")&{Custom1}),
    #"Inserted Division" = Table.AddColumn(Custom2, "Moving Average Backwards", each [Column4] / [Column3], type number),
    #"Sorted Rows1" = Table.Sort(#"Inserted Division",{{"Column3", Order.Descending}}),
    #"Removed Columns" = Table.RemoveColumns(#"Sorted Rows1",{"Column3", "Column4"}),
    #"Renamed Columns" = Table.RenameColumns(#"Removed Columns",{{"Column1", "Date"}, {"Column2", "Value"}})
in
    #"Renamed Columns"
Did I answer your question? Mark my post as a solution!
Proud to be a Super User!
My custom visualization projects
Plotting Live Sound: Viz1
Beautiful News:Viz1, Viz2, Viz3
Visual Capitalist: Working Hrs
v-cherch-msft
Microsoft Employee
Microsoft Employee

Hi @Anonymous 

You may create a measure like below:

Measure =
DIVIDE (
    CALCULATE (
        SUM ( Table2[Value] ),
        FILTER ( ALL ( Table2 ), Table2[Date] >= MAX ( Table2[date] ) )
    ),
    COUNTROWS ( FILTER ( ALL ( Table2 ), Table2[Date] >= MAX ( Table2[date] ) ) )
)

1.png

Regards,

Cherie

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

Helpful resources

Announcements
April Power BI Update Carousel

Power BI Monthly Update - April 2026

Check out the April 2026 Power BI update to learn about new features.

Fabric SQL PBI Data Days

Data Days 2026 coming soon!

Sign up to receive a private message when registration opens and key events begin.

New to Fabric survey Carousel

New to Fabric Survey

If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.

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.