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Anonymous's avatar
Anonymous
Not applicable
5 years ago
Solved

Please help - percentage across multiple rows

Hi there,   I hope you can help me - I have been pulling my hair out for days! I think what I want to do should be relatively simple, but I really am struggling to work it out.   My dataset looks...
  • Anonymous's avatar
    Anonymous
    5 years ago

    Hi Anonymous ,

     

    Is the image below what you intend? 

    If yes here is the m-query code:

    let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WCijKz0pNLlFwVNJRci4tLsnPTS1SCEotLE0tLklNUYrVQShxIqzEmbASCiyKBQA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Project = _t, Customer = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Project", type text}, {"Customer", type text}}),
    #"Added Index" = Table.AddIndexColumn(#"Changed Type", "Index", 1, 1, Int64.Type),
    #"Grouped Rows" = Table.Group(#"Added Index", {"Project", "Customer"}, {{"Test", each Table.RowCount(_), Int64.Type}})
    in
    #"Grouped Rows"

     

    And for the last step just create a metric in this format:

    % of Grand Total =
    DIVIDE (
    SUM( 'Table 1'[Test] ),
    CALCULATE ( SUM ( 'Table 1'[Test]), ALL ( 'Table 1'[Project]) )
    )
     
    You will be able to then stick it as filter page, visual or entire report.
     
    Best Regards,
    ID
  • Anonymous's avatar
    Anonymous
    5 years ago

    Hi Anonymous ,

     

    You could use the following formula to create a calculated table :

    New Table =
    SUMMARIZE (
        'Table',
        [Project Name],
        "% Customer Requested",
            VAR _count =
                CALCULATE (
                    COUNTROWS ( 'Table' ),
                    ALLEXCEPT ( 'Table', 'Table'[Project Name] )
                )
            VAR _custom =
                CALCULATE (
                    COUNT ( 'Table'[Request Type] ),
                    FILTER ( 'Table', 'Table'[Request Type] = "Customer Requested" )
                )
            RETURN
                FORMAT ( DIVIDE ( _custom, _count ), "##%" ) & " Customer Requested"
    )

    The final output is shown below:

     

    Please take a look at the pbix file here.

     

    Best Regards,
    Eyelyn Qin
    If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.