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collint20's avatar
collint20
New Member
3 years ago
Solved

Transpose and Analyze Data

How do I transpose and analyze data automatically using PowerQuery or PowerBI? How can I use PowerQuery or PowerBI to output a new Query Table based on the following Raw Data Table?   Raw Data Tabl...
  • Greg_Deckler's avatar
    3 years ago

    collint20 I would highly recommend unpivoting your topping columns like this:

    let
        Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("fZBNCsMgEEavUlznEqWLlP4lkKW4GGRIhhgVNYXevhrSBiXtTj/fzLyRc3anEVnFWrQWndEUzx3MHvqUHl0gOZhIiIqz0+DIx7R2iPrQaDI63hpFT0zxGaYF6wLIV9bmi9TgFMmFuoAc16IfACmVxEgjWKtKyVytxYCuoHPNj02iHxDy7Up4G5Tw+NYX0/eErzT9bbrWJPRGHvZ/aFtAiDc=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Person = _t, #"topping 1" = _t, #"topping 2" = _t, #"topping 3" = _t]),
        #"Changed Type" = Table.TransformColumnTypes(Source,{{"Person", type text}, {"topping 1", type text}, {"topping 2", type text}, {"topping 3", type text}}),
        #"Unpivoted Other Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"Person"}, "Attribute", "Value"),
        #"Renamed Columns" = Table.RenameColumns(#"Unpivoted Other Columns",{{"Value", "Topping"}})
    in
        #"Renamed Columns"

     

    This should allow you to create a matrix visualization that looks like your second table and really be the best thing to work with in terms of Power BI. That said, I'll see if I can get it into the final form you are looking for but may take a bit.

  • Greg_Deckler's avatar
    3 years ago

    collint20 This is pretty close:

    let
        Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("fZBNCsMgEEavUlznEqWLlP4lkKW4GGRIhhgVNYXevhrSBiXtTj/fzLyRc3anEVnFWrQWndEUzx3MHvqUHl0gOZhIiIqz0+DIx7R2iPrQaDI63hpFT0zxGaYF6wLIV9bmi9TgFMmFuoAc16IfACmVxEgjWKtKyVytxYCuoHPNj02iHxDy7Up4G5Tw+NYX0/eErzT9bbrWJPRGHvZ/aFtAiDc=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Person = _t, #"topping 1" = _t, #"topping 2" = _t, #"topping 3" = _t]),
        #"Changed Type" = Table.TransformColumnTypes(Source,{{"Person", type text}, {"topping 1", type text}, {"topping 2", type text}, {"topping 3", type text}}),
        #"Unpivoted Other Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"Person"}, "Attribute", "Value"),
        #"Renamed Columns" = Table.RenameColumns(#"Unpivoted Other Columns",{{"Value", "Topping"}}),
        #"Removed Columns" = Table.RemoveColumns(#"Renamed Columns",{"Attribute"}),
        #"Grouped Rows" = Table.Group(#"Removed Columns", {"Topping"}, {{"Person", each _, type table [Person=nullable text, Topping=text]}}),
        #"Expanded Person" = Table.ExpandTableColumn(#"Grouped Rows", "Person", {"Person"}, {"Person.1"}),
        #"Added Index" = Table.AddIndexColumn(#"Expanded Person", "Index", 1, 1, Int64.Type),
        #"Added Custom" = Table.AddColumn(#"Added Index", "Custom", each Number.Mod([Index],6)),
        #"Removed Columns1" = Table.RemoveColumns(#"Added Custom",{"Index"}),
        #"Pivoted Column" = Table.Pivot(#"Removed Columns1", List.Distinct(#"Removed Columns1"[Topping]), "Topping", "Person.1"),
        #"Removed Columns2" = Table.RemoveColumns(#"Pivoted Column",{"Custom"})
    in
        #"Removed Columns2"