Forum Discussion
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.
| Model Material 1 | Model Material 1 Usage | Model Material 2 | Model Material 2 Usage | Model Material 3 | Model Material 3 Usage | Model Material 4 | Model Material 4 Usage |
| VeroPureWhite | 56.992 | Agilus30Clear | 33.619 | TissueMatrix | 18.039 | VeroMagenta-V | 24.561 |
| VeroMagenta | 0 | VeroPureWhite | 28.605 | Agilus30Clear | 22.325 | TissueMatrix | 9.522 |
| VeroPureWhite | 52.155 | Agilus30Clear | 34.051 | TissueMatrix | 15.961 | VeroMagenta-V | 17.285 |
| VeroPureWhite | 39.022 | Agilus30Clear | 26.847 | TissueMatrix | 8.506 | VeroMagenta-V | 12.31 |
| VeroPureWhite | 44.657 | Agilus30Clear | 26.145 | TissueMatrix | 8.535 | VeroMagenta-V | 9.665 |
| VeroPureWhite | 53.209 | Agilus30Clear | 35.149 | TissueMatrix | 16.944 | VeroMagenta-V | 18.458 |
| VeroPureWhite | 0.223 | Agilus30Clear | 0 | TissueMatrix | 0 | VeroMagenta-V | 0 |
| VeroPureWhite | 42.624 | Agilus30Clear | 31.298 | TissueMatrix | 11.424 | VeroMagenta-V | 12.515 |
| VeroPureWhite | 17.799 | Agilus30Clear | 2.116 | TissueMatrix | 2.116 | VeroMagenta-V | 2.116 |
| VeroPureWhite | 0.132 | Agilus30Clear | 0 | TissueMatrix | 0 | VeroMagenta-V | 0 |
| VeroPureWhite | 1.374 | Agilus30Clear | 1.058 | TissueMatrix | 1.058 | VeroMagenta-V | 1.058 |
| VeroPureWhite | 0.008 | Agilus30Clear | 0 | TissueMatrix | 0 | VeroMagenta-V | 0 |
| VeroPureWhite | 0.062 | Agilus30Clear | 0 | TissueMatrix | 0 | VeroMagenta-V | 0 |
| VeroPureWhite | 0 | Agilus30Clear | 0 | TissueMatrix | 0 | VeroMagenta-V | 0 |
| VeroPureWhite | 40.188 | Agilus30Clear | 24.96 | TissueMatrix | 10.583 | VeroMagenta-V | 10.658 |
| VeroPureWhite | 49.989 | Agilus30Clear | 49.728 | TissueMatrix | 49.728 | VeroMagenta-V | 49.728 |
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
If this post helps or solves your problem, please mark it as solution (to help other users find useful content and to acknowledge the work of users that helped you)
Kudoes are nice too
Have fun
Jimmy