Advance your Data & AI career with 50 days of live learning, dataviz contests, hands-on challenges, study groups & certifications and more!
Get registeredGet Fabric Certified for FREE during Fabric Data Days. Don't miss your chance! Request now
How convert a rows with data associate a the key in columns
| Name | DATA |
| Luis | 20 |
| Luis | USA |
| Luis | spanish |
| Erick | 24 |
| Erick | UK |
| Erick | English |
Convert to:
| name | age | country | language |
| Luis | 20 | USA | spanish |
| Erick | 24 | UK | english |
HI @luisecp ,
Assuming that there are only three rows per name, try this:
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45W8inNLFbSUTIyUIrVgfNCgx2RucUFiXmZxRlgIdeizORskAYTFG6oNwrXNS89B6wjFgA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Name = _t, DATA = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Name", type text}, {"DATA", type text}}),
#"Added Index" = Table.AddIndexColumn(#"Changed Type", "Index", 0, 1, Int64.Type),
#"Inserted Modulo" = Table.AddColumn(#"Added Index", "Modulo", each Number.Mod([Index], 3), type number),
#"Removed Columns" = Table.RemoveColumns(#"Inserted Modulo",{"Index"}),
#"Pivoted Column" = Table.Pivot(Table.TransformColumnTypes(#"Removed Columns", {{"Modulo", type text}}), List.Distinct(Table.TransformColumnTypes(#"Removed Columns", {{"Modulo", type text}})[Modulo]), "Modulo", "DATA"),
#"Renamed Columns" = Table.RenameColumns(#"Pivoted Column",{{"0", "age"}, {"1", "country"}, {"2", "language"}})
in
#"Renamed Columns"
Advance your Data & AI career with 50 days of live learning, contests, hands-on challenges, study groups & certifications and more!
Check out the October 2025 Power BI update to learn about new features.