We've captured the moments from FabCon & SQLCon that everyone is talking about, and we are bringing them to the community, live and on-demand. Starts on April 14th. Register now
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 Table
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!!
Solved! Go to Solution.
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):
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"
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):
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"
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
A new Power BI DataViz World Championship is coming this June! Don't miss out on submitting your entry.
Share feedback directly with Fabric product managers, participate in targeted research studies and influence the Fabric roadmap.
| User | Count |
|---|---|
| 5 | |
| 3 | |
| 3 | |
| 2 | |
| 2 |
| User | Count |
|---|---|
| 10 | |
| 8 | |
| 7 | |
| 7 | |
| 5 |