Value and Identifier in 2 Columns

I dont think this shows the final output I am looking for.

Essentially, this data is a report generated by our 3D printer showing how much material is used of each type. There could be the same material in different bays of the machine. Each row is an individual project/print.

I want to be able to take all this data and essentially add up the "Model Material # Usage" of each material. As shown below, VeroPureWhite was in multiple material bays.

Hello Anonymous 

I don't know what this dataset has now to do with the original request. Seems like you didn't show us the reald dataset in your initinal post. If you can show us how your orignal dataset is looking like, and what exactly you need.

Here my best guess 🙂

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("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", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Printer = _t, Started = _t, Completed = _t, #"Total Job Time" = _t, #"Total Print Time" = _t, Status = _t, Attribute = _t, Value = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Printer", type text}, {"Started", type text}, {"Completed", type text}, {"Total Job Time", type duration}, {"Total Print Time", type duration}, {"Status", type text}, {"Attribute", type text}, {"Value", type text}}),
    MaterialType = {"Model Material 1", "Model Material 2","Model Material 3", "Model Material 4", "Model Material 5", "Model Material 6", "Support Material 1"},
    #"Pivoted Column" = Table.Pivot(#"Changed Type", List.Distinct(#"Changed Type"[Attribute]), "Attribute", "Value"),
    AddRecordList = Table.AddColumn
    (
        #"Pivoted Column",
        "RecordList",
        (rec)=> List.Transform(MaterialType,  (trans)=> Table.Column(Record.ToTable(Record.SelectFields(rec, List.Select(Table.ColumnNames(#"Pivoted Column"), (sel)=> Text.Start(sel,Text.Length(trans))= trans))), "Value"))
        
    ),
    DeleteColumns = Table.RemoveColumns
    (
        AddRecordList,
        List.Select(Table.ColumnNames(AddRecordList),(sel)=> List.AnyTrue(List.Transform(MaterialType, (trans)=> Text.Start(sel,Text.Length(trans))= trans)))
    ),
    #"Expanded RecordList" = Table.ExpandListColumn(DeleteColumns, "RecordList"),
    #"Extracted Values" = Table.TransformColumns(#"Expanded RecordList", {"RecordList", each Text.Combine(List.Transform(_, Text.From), "&&"), type text}),
    #"Split Column by Delimiter" = Table.SplitColumn(#"Extracted Values", "RecordList", Splitter.SplitTextByDelimiter("&&", QuoteStyle.Csv), {"RecordList.1", "RecordList.2"}),
    #"Changed Type1" = Table.TransformColumnTypes(#"Split Column by Delimiter",{{"RecordList.1", type text}, {"RecordList.2", Int64.Type}}),
    #"Renamed Columns" = Table.RenameColumns(#"Changed Type1",{{"RecordList.1", "Material"}, {"RecordList.2", "Material Usage"}})
in
    #"Renamed Columns"

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

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Have fun

Jimmy