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
prashantmoger
Frequent Visitor

Unbilled aging

Hi,

 

Wonder if anyone can help, iam trying to create Unbilled aging report in power querry, which will show from which month onwards the project is becoming unbilled for invoice.   

 

For Example : In project 1, If we total the values from april to dec. Then from the  month of september the total of value  will become positive. So in next column the result should be September.  

prashantmoger_0-1650109746918.png

 

Final result should be:

prashantmoger_1-1650109953126.png

 

Thanks in adavance.

1 ACCEPTED SOLUTION
Vijay_A_Verma
Most Valuable Professional
Most Valuable Professional

See the working here - Open a blank query - Home - Advanced Editor - Remove everything from there and paste the below code to test (later on when you use the query on your dataset, you will have to change the source appropriately)

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45W8sxLyUxU0lEKKMrPSk0uUTAEsh0LijJzgLRSrA52Bb6JlUBS18QACHAq8irNSwVSxgZmZuZ4FOWAjLIwNsapxLE0vbS4hICi4NSCktTcpNQiINvIEJ9K/+SSfIg6fKr88stgxuFT5pKaTIwyvAFqBA9QnNLQoDQ1MzfDowYckiYGloY41cCDEq8q5LC0NMOjEBGUOJUghSNONUiBaGpkAQzFWAA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Entity = _t, #"Project Name" = _t, Month = _t, Value = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Entity", type text}, {"Project Name", type text}, {"Month", type text}, {"Value", Int64.Type}}),
    #"Added Index" = Table.AddIndexColumn(#"Changed Type", "Index", 0, 1, Int64.Type),
    #"Grouped Rows" = Table.Group(#"Added Index", {"Entity", "Project Name"}, {{"Temp", each _, type table [Entity=nullable text, Project Name=nullable text, Month=nullable text, Value=nullable number]}}),
    fxProcess = (Tbl)=>
        let
            //Source = Table,
            //#"India_Project 1" = Source{[Entity="India",#"Project Name"="Project 1"]}[Temp],
            #"Added Index" = Table.AddIndexColumn(Tbl, "Index1", 1, 1, Int64.Type),
            #"Added Custom" = Table.AddColumn(#"Added Index", "Custom", each List.Sum(List.FirstN(#"Added Index"[Value],[Index1]))),
            #"Filtered Rows" = Table.SelectRows(#"Added Custom", each [Custom] > 0){0}
        in
    #"Filtered Rows",
    #"Invoked Custom Function" = Table.AddColumn(#"Grouped Rows", "fxProcess", each fxProcess([Temp])),
    #"Expanded fxProcess" = Table.ExpandRecordColumn(#"Invoked Custom Function", "fxProcess", {"Month", "Index"}, {"Month", "Index"}),
    #"Removed Columns" = Table.RemoveColumns(#"Expanded fxProcess",{"Temp"}),
    #"Merged Queries" = Table.NestedJoin(#"Added Index", {"Index"}, #"Removed Columns", {"Index"}, "Removed Columns", JoinKind.LeftOuter),
    #"Expanded Removed Columns" = Table.ExpandTableColumn(#"Merged Queries", "Removed Columns", {"Month"}, {"Unbilled from month"}),
    #"Removed Columns1" = Table.RemoveColumns(#"Expanded Removed Columns",{"Index"})
in
    #"Removed Columns1"

View solution in original post

2 REPLIES 2
Vijay_A_Verma
Most Valuable Professional
Most Valuable Professional

See the working here - Open a blank query - Home - Advanced Editor - Remove everything from there and paste the below code to test (later on when you use the query on your dataset, you will have to change the source appropriately)

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45W8sxLyUxU0lEKKMrPSk0uUTAEsh0LijJzgLRSrA52Bb6JlUBS18QACHAq8irNSwVSxgZmZuZ4FOWAjLIwNsapxLE0vbS4hICi4NSCktTcpNQiINvIEJ9K/+SSfIg6fKr88stgxuFT5pKaTIwyvAFqBA9QnNLQoDQ1MzfDowYckiYGloY41cCDEq8q5LC0NMOjEBGUOJUghSNONUiBaGpkAQzFWAA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Entity = _t, #"Project Name" = _t, Month = _t, Value = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Entity", type text}, {"Project Name", type text}, {"Month", type text}, {"Value", Int64.Type}}),
    #"Added Index" = Table.AddIndexColumn(#"Changed Type", "Index", 0, 1, Int64.Type),
    #"Grouped Rows" = Table.Group(#"Added Index", {"Entity", "Project Name"}, {{"Temp", each _, type table [Entity=nullable text, Project Name=nullable text, Month=nullable text, Value=nullable number]}}),
    fxProcess = (Tbl)=>
        let
            //Source = Table,
            //#"India_Project 1" = Source{[Entity="India",#"Project Name"="Project 1"]}[Temp],
            #"Added Index" = Table.AddIndexColumn(Tbl, "Index1", 1, 1, Int64.Type),
            #"Added Custom" = Table.AddColumn(#"Added Index", "Custom", each List.Sum(List.FirstN(#"Added Index"[Value],[Index1]))),
            #"Filtered Rows" = Table.SelectRows(#"Added Custom", each [Custom] > 0){0}
        in
    #"Filtered Rows",
    #"Invoked Custom Function" = Table.AddColumn(#"Grouped Rows", "fxProcess", each fxProcess([Temp])),
    #"Expanded fxProcess" = Table.ExpandRecordColumn(#"Invoked Custom Function", "fxProcess", {"Month", "Index"}, {"Month", "Index"}),
    #"Removed Columns" = Table.RemoveColumns(#"Expanded fxProcess",{"Temp"}),
    #"Merged Queries" = Table.NestedJoin(#"Added Index", {"Index"}, #"Removed Columns", {"Index"}, "Removed Columns", JoinKind.LeftOuter),
    #"Expanded Removed Columns" = Table.ExpandTableColumn(#"Merged Queries", "Removed Columns", {"Month"}, {"Unbilled from month"}),
    #"Removed Columns1" = Table.RemoveColumns(#"Expanded Removed Columns",{"Index"})
in
    #"Removed Columns1"

Thank you so much. Vijaya sir

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.