Don't miss your chance to take the Fabric Data Engineer (DP-600) exam for FREE! Find out how by attending the DP-600 session on April 23rd (pacific time), live or on-demand.
Learn moreJoin the FabCon + SQLCon recap series. Up next: Power BI, Real-Time Intelligence, IQ and AI, and Data Factory take center stage. All sessions are available on-demand after the live show. Register now
Hi,
I have a csv file that look like this:
| id | item_1 | value_1 | item_2 | value_2 | item_3 | value_3 | item_4 | value_4 | item_5 | value_5 |
| 1 | a | 1 | b | 2 | c | 3 | d | 4 | e | 5 |
| 2 | e | 3 | ||||||||
| 3 | c | 3 |
And I want to look like this:
| id | item | value |
| 1 | a | 1 |
| 1 | b | 2 |
| 1 | c | 3 |
| 1 | d | 4 |
| 1 | e | 5 |
| 2 | e | 3 |
| 3 | c | 3 |
With python or vba it will be easy, but I wan't to do it with power query. Is that posible?
Thank you,
Solved! Go to Solution.
@Anonymous
This works with your sample data
Please see attached file's query editor for steps
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlTSUUoEYhCdBMRGQJwMxMZAnALEJkCcCsSmSrE60WDZVKisAl4MUm2MZBZ2FBsLAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [id = _t, item_1 = _t, value_1 = _t, item_2 = _t, value_2 = _t, item_3 = _t, value_3 = _t, item_4 = _t, value_4 = _t, item_5 = _t, value_5 = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"id", Int64.Type}, {"item_1", type text}, {"value_1", Int64.Type}, {"item_2", type text}, {"value_2", Int64.Type}, {"item_3", type text}, {"value_3", Int64.Type}, {"item_4", type text}, {"value_4", Int64.Type}, {"item_5", type text}, {"value_5", Int64.Type}}),
#"Unpivoted Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"id"}, "Attribute", "Value"),
#"Split Column by Delimiter" = Table.SplitColumn(#"Unpivoted Columns", "Attribute", Splitter.SplitTextByDelimiter("_", QuoteStyle.Csv), {"Attribute.1", "Attribute.2"}),
#"Changed Type1" = Table.TransformColumnTypes(#"Split Column by Delimiter",{{"Attribute.1", type text}, {"Attribute.2", Int64.Type}}),
#"Pivoted Column" = Table.Pivot(#"Changed Type1", List.Distinct(#"Changed Type1"[Attribute.1]), "Attribute.1", "Value"),
#"Filtered Rows" = Table.SelectRows(#"Pivoted Column", each ([value] <> null)),
#"Removed Columns" = Table.RemoveColumns(#"Filtered Rows",{"Attribute.2"})
in
#"Removed Columns"
@Anonymous
This works with your sample data
Please see attached file's query editor for steps
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlTSUUoEYhCdBMRGQJwMxMZAnALEJkCcCsSmSrE60WDZVKisAl4MUm2MZBZ2FBsLAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [id = _t, item_1 = _t, value_1 = _t, item_2 = _t, value_2 = _t, item_3 = _t, value_3 = _t, item_4 = _t, value_4 = _t, item_5 = _t, value_5 = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"id", Int64.Type}, {"item_1", type text}, {"value_1", Int64.Type}, {"item_2", type text}, {"value_2", Int64.Type}, {"item_3", type text}, {"value_3", Int64.Type}, {"item_4", type text}, {"value_4", Int64.Type}, {"item_5", type text}, {"value_5", Int64.Type}}),
#"Unpivoted Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"id"}, "Attribute", "Value"),
#"Split Column by Delimiter" = Table.SplitColumn(#"Unpivoted Columns", "Attribute", Splitter.SplitTextByDelimiter("_", QuoteStyle.Csv), {"Attribute.1", "Attribute.2"}),
#"Changed Type1" = Table.TransformColumnTypes(#"Split Column by Delimiter",{{"Attribute.1", type text}, {"Attribute.2", Int64.Type}}),
#"Pivoted Column" = Table.Pivot(#"Changed Type1", List.Distinct(#"Changed Type1"[Attribute.1]), "Attribute.1", "Value"),
#"Filtered Rows" = Table.SelectRows(#"Pivoted Column", each ([value] <> null)),
#"Removed Columns" = Table.RemoveColumns(#"Filtered Rows",{"Attribute.2"})
in
#"Removed Columns"
Thank you!
Check out the April 2026 Power BI update to learn about new features.
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.
| User | Count |
|---|---|
| 48 | |
| 40 | |
| 37 | |
| 20 | |
| 16 |
| User | Count |
|---|---|
| 69 | |
| 67 | |
| 32 | |
| 27 | |
| 26 |