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Anonymous
Not applicable

Transform Data Table - Extract Data from Existing Column and Return New Column

Hello Community,

I am new to Power Query and am trying to use some of my existing data to create a modified version of it.

I would like to use my existing table to create a new column (or new table). Any options of a solution are much appreciated.

 

Example

 

Current Data Tabledatatable.PNG

 

 

 

 

 

 

 

 

 

I am trying to use the data in the table to return a column named [ref data] (not shown).

In this table the [ref id] is used to describe what [run id] to retrieve data for, such as in row 1 [run id] 1 would be compared to [run id] 2. The compares would be performed on a matching [ATD].

The [ref data] column needs to return the [data 1] for the matching [ATD] and [Ref id].

The expected results for the column in this example would be;

10

11

9

6

7

10

8

6

7

 

Thanks!!

1 ACCEPTED SOLUTION
Stachu
Community Champion
Community Champion

you can use Merge for that, merging with current table, with following joins (you add second and more joins by clicking on a column with Ctrl pressed):
Capture.PNG

you can then expand the relevant column and rename it properly

you can also see how it works with this M query

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("Pc3LDcAwCAPQXThzKKH5zYKy/xoB6nJwFD1Z2IyEuLI8jQ6bv5wJHaXqP4XO0heS/ScrwR2ULMUDN4J36cQNxZ6kLvQUe59uiP57zucC", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [Index = _t, ATD = _t, #"run id" = _t, #"data 1" = _t, #"Ref id" = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Index", Int64.Type}, {"ATD", Int64.Type}, {"run id", Int64.Type}, {"data 1", Int64.Type}, {"Ref id", Int64.Type}}),
    #"Merged Queries" = Table.NestedJoin(#"Changed Type", {"Ref id", "ATD"}, #"Changed Type", {"run id", "ATD"}, "Changed Type", JoinKind.LeftOuter),
    #"Expanded Changed Type" = Table.ExpandTableColumn(#"Merged Queries", "Changed Type", {"data 1"}, {"Changed Type.data 1"}),
    #"Renamed Columns" = Table.RenameColumns(#"Expanded Changed Type",{{"Changed Type.data 1", "Ref data"}})
in
    #"Renamed Columns"


Did I answer your question? Mark my post as a solution!
Thank you for the kudos 🙂

View solution in original post

2 REPLIES 2
Stachu
Community Champion
Community Champion

you can use Merge for that, merging with current table, with following joins (you add second and more joins by clicking on a column with Ctrl pressed):
Capture.PNG

you can then expand the relevant column and rename it properly

you can also see how it works with this M query

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("Pc3LDcAwCAPQXThzKKH5zYKy/xoB6nJwFD1Z2IyEuLI8jQ6bv5wJHaXqP4XO0heS/ScrwR2ULMUDN4J36cQNxZ6kLvQUe59uiP57zucC", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [Index = _t, ATD = _t, #"run id" = _t, #"data 1" = _t, #"Ref id" = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Index", Int64.Type}, {"ATD", Int64.Type}, {"run id", Int64.Type}, {"data 1", Int64.Type}, {"Ref id", Int64.Type}}),
    #"Merged Queries" = Table.NestedJoin(#"Changed Type", {"Ref id", "ATD"}, #"Changed Type", {"run id", "ATD"}, "Changed Type", JoinKind.LeftOuter),
    #"Expanded Changed Type" = Table.ExpandTableColumn(#"Merged Queries", "Changed Type", {"data 1"}, {"Changed Type.data 1"}),
    #"Renamed Columns" = Table.RenameColumns(#"Expanded Changed Type",{{"Changed Type.data 1", "Ref data"}})
in
    #"Renamed Columns"


Did I answer your question? Mark my post as a solution!
Thank you for the kudos 🙂

Anonymous
Not applicable

@Stachu ,

Thanks for the help, this is what I was looking for.

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