Value and Identifier in 2 Columns

Hello Anonymous 

this solution should work out for you. Is dynamic as well. Condition is that all columns with "Usage" in the name are put in one column and all other as well (This logic we can also change). After the final table is create, I applied a group function to sum all the same materials

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("rZQxa8NADIX/i+dUSLqTfDeWzIEOJR2CBw8mNYQWnAT686sEN6T125rtTjL69J503u2a7TB9vpyn4e19PA3NqjGnWjUOz/vxcD4mXh+Gfop7SuRS4/A6Ho/nYdOfpvErrlKI0yV+qbTp98PHqX/axl0zmUvTrXb3qUjw/PE9Vgs5G8CqUlJbYiuZ6q34LwVKYqhUysQmQIFRdQEKpCUtBiGpEiuySZ1KbpeQQsaOGKFPICJncmsxQjKwJBDJAKKSO1ZhiZQrssoCgYYd25EzklEoW4EQJtUEGLwsz6AyY3OUXDPqXEhrAZ0LZYWdK5lge2L+bUX2xIaJLxk/4cVLuMaxN5LQFv3LG6HUImsk1h85M4cXxlzjuGvm8uiuo6g/3Ap++N7FxArSHn+7ClZCmKwk5C7H68b25kq1oLWLRKtggrf4X8ic6Lpv", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"Model Material 1" = _t, #"Model Material 1 Usage" = _t, #"Model Material 2" = _t, #"Model Material 2 Usage" = _t, #"Model Material 3" = _t, #"Model Material 3 Usage" = _t, #"Model Material 4" = _t, #"Model Material 4 Usage" = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Model Material 1", type text}, {"Model Material 1 Usage", Int64.Type}, {"Model Material 2", type text}, {"Model Material 2 Usage", Int64.Type}, {"Model Material 3", type text}, {"Model Material 3 Usage", Int64.Type}, {"Model Material 4", type text}, {"Model Material 4 Usage", Int64.Type}}),
    ColumnsMaterial = List.Select(Table.ColumnNames(#"Changed Type"), each not Text.Contains(_, "Usage")),
    ColumnsUsage = List.Select(Table.ColumnNames(#"Changed Type"), each Text.Contains(_, "Usage")),
    CreateListMaterial = List.Combine(List.Transform(ColumnsMaterial, (column)=> Table.Column(#"Changed Type", column))),
    CreateListUsage = List.Combine(List.Transform(ColumnsUsage, (column)=> Table.Column(#"Changed Type", column))), 
    CombineFinalTable = Table.FromColumns({CreateListMaterial, CreateListUsage}, {"Material", "Usage"}),
    #"Grouped Rows" = Table.Group(CombineFinalTable, {"Material"}, {{"Usage Sum", each List.Sum([Usage]), type number}})
in
    #"Grouped Rows"

Copy paste this code to the advanced editor in a new blank query to see how the solution works.

If you need any help for this, come back to me

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Kudoes are nice too

Have fun

Jimmy

Hi, Anonymous 

Or try this:

let
    Source = Table.FromRecords(Json.Document(Binary.Decompress(Binary.FromText("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", BinaryEncoding.Base64),Compression.Deflate))),
    trsp = Table.Transpose(Table.DemoteHeaders(Source)),
    rmv_nm = Table.TransformColumns(trsp, {"Column1", each Text.Remove(_, {"0".."9"})}),
    trans = List.Transform(Table.Split(rmv_nm, 2), each Table.PromoteHeaders(Table.Transpose(_))),
    cmbTbls = Table.Combine(trans),
    grp = Table.Group(cmbTbls, {"Model Material "}, {{"Model Material  Usage", each List.Sum([Model Material  Usage]), type number}})
in
    grp