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nicoenz's avatar
nicoenz
Icon for Helper III rankHelper III
2 years ago
Solved

Split revenue per year based to create visual

Hi,

i have a table with 3 columns. "Opportunity name", "12_Month_Revenue" and "Start Operating date". The revenues are always the total for 1 year. If an opportunity starts in September of this year it whould add 4 months to this year and 8 months to next. if it starts in July, it should add 6 and 6 respectively. Note that opportunities can start in any year (2021, 2022, 2023, ..., 2028)

I want to make a visual (like below) that plots per year the annual revenue.

 

Can you plaese help me? I would really appreciate it!!!

  • I guess you are doing pro rate by year type of calculations 

     

    In Power Query,

     

    Query Name "Data Table":

    let
        Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WcnRyVtJRMjQyNDYE0mb6hvpGBkbGSrE6CCmwjCVExgQsExAYCBQyMTYyBSmAyJiCZVzcgkAyZqYmIBkDoARIzgwsl5iYiDDP0EjfGGZiLAA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"Opportunity name" = _t, #"12_Month_Revenue" = _t, #"Start Operating date" = _t]),
        #"Changed Type" = Table.TransformColumnTypes(Source,{{"Opportunity name", type text}, {"12_Month_Revenue", Decimal.Type}, {"Start Operating date", type date}}),
        #"Added Custom" = Table.AddColumn(#"Changed Type", "EOY", each Date.EndOfYear([Start Operating date]), type date),
        #"Added Custom1" = Table.AddColumn(#"Added Custom", "End Operating date", each Date.AddYears([Start Operating date], 1
    ), type date),
        #"Added Custom2" = Table.AddColumn(#"Added Custom1", "Pro Rate Rev Y1", each [12_Month_Revenue] * (Duration.Days([EOY] - [Start Operating date]))/365.00,  
    Decimal.Type),
        #"Inserted Subtraction" = Table.AddColumn(#"Added Custom2", "Pro Rate Rev Y2", each [12_Month_Revenue] - [Pro Rate Rev Y1], Decimal.Type)
    in
        #"Inserted Subtraction"

     

     

    Query name "Yearly Data":

    let
        Source = #"Data Table",
        #"Removed Columns" = Table.RemoveColumns(Source,{"Opportunity name", "12_Month_Revenue", "EOY", "End Operating date", "Pro Rate Rev Y2"
    }),
        #"Renamed Columns" = Table.RenameColumns(#"Removed Columns",{{"Start Operating date", "date"}, {"Pro Rate Rev Y1", "Pro Rate Rev"}}),
        Source1 = #"Data Table",
        #"Removed Columns1" = Table.RemoveColumns(Source1,{"Opportunity name", "12_Month_Revenue", "Start Operating date", "EOY","Pro Rate Rev Y1"}),
        #"Renamed Columns1" = Table.RenameColumns(#"Removed Columns1",{{"End Operating date", "date"}, {"Pro Rate Rev Y2", "Pro Rate Rev"}}),
    
        Source2 = Table.Combine({#"Renamed Columns", #"Renamed Columns1"}),
        #"Extracted Year" = Table.TransformColumns(Source2,{{"date", Date.Year, Int64.Type}}),
        #"Grouped Rows" = Table.Group(#"Extracted Year", {"date"}, {{"Pro Rate Rev", each List.Sum([Pro Rate Rev]), type number}}),
        #"Renamed Columns2" = Table.RenameColumns(#"Grouped Rows",{{"date", "Year"}})
    in
        #"Renamed Columns2"

     

     

    Come back to visualizations (Report)

     

     

    TIA

1 Reply

  • I guess you are doing pro rate by year type of calculations 

     

    In Power Query,

     

    Query Name "Data Table":

    let
        Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WcnRyVtJRMjQyNDYE0mb6hvpGBkbGSrE6CCmwjCVExgQsExAYCBQyMTYyBSmAyJiCZVzcgkAyZqYmIBkDoARIzgwsl5iYiDDP0EjfGGZiLAA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"Opportunity name" = _t, #"12_Month_Revenue" = _t, #"Start Operating date" = _t]),
        #"Changed Type" = Table.TransformColumnTypes(Source,{{"Opportunity name", type text}, {"12_Month_Revenue", Decimal.Type}, {"Start Operating date", type date}}),
        #"Added Custom" = Table.AddColumn(#"Changed Type", "EOY", each Date.EndOfYear([Start Operating date]), type date),
        #"Added Custom1" = Table.AddColumn(#"Added Custom", "End Operating date", each Date.AddYears([Start Operating date], 1
    ), type date),
        #"Added Custom2" = Table.AddColumn(#"Added Custom1", "Pro Rate Rev Y1", each [12_Month_Revenue] * (Duration.Days([EOY] - [Start Operating date]))/365.00,  
    Decimal.Type),
        #"Inserted Subtraction" = Table.AddColumn(#"Added Custom2", "Pro Rate Rev Y2", each [12_Month_Revenue] - [Pro Rate Rev Y1], Decimal.Type)
    in
        #"Inserted Subtraction"

     

     

    Query name "Yearly Data":

    let
        Source = #"Data Table",
        #"Removed Columns" = Table.RemoveColumns(Source,{"Opportunity name", "12_Month_Revenue", "EOY", "End Operating date", "Pro Rate Rev Y2"
    }),
        #"Renamed Columns" = Table.RenameColumns(#"Removed Columns",{{"Start Operating date", "date"}, {"Pro Rate Rev Y1", "Pro Rate Rev"}}),
        Source1 = #"Data Table",
        #"Removed Columns1" = Table.RemoveColumns(Source1,{"Opportunity name", "12_Month_Revenue", "Start Operating date", "EOY","Pro Rate Rev Y1"}),
        #"Renamed Columns1" = Table.RenameColumns(#"Removed Columns1",{{"End Operating date", "date"}, {"Pro Rate Rev Y2", "Pro Rate Rev"}}),
    
        Source2 = Table.Combine({#"Renamed Columns", #"Renamed Columns1"}),
        #"Extracted Year" = Table.TransformColumns(Source2,{{"date", Date.Year, Int64.Type}}),
        #"Grouped Rows" = Table.Group(#"Extracted Year", {"date"}, {{"Pro Rate Rev", each List.Sum([Pro Rate Rev]), type number}}),
        #"Renamed Columns2" = Table.RenameColumns(#"Grouped Rows",{{"date", "Year"}})
    in
        #"Renamed Columns2"

     

     

    Come back to visualizations (Report)

     

     

    TIA