Forum Discussion
Solved
Multiple rows in different columns
Hi all, I Have a large dataset that contains an object number and a location (place, area, street) In the dataset this is on line level as you can see in the first table. But I want it...
Please see the comments in the code for the steps to be taken:
let
// Your source data Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("VY2xCsJADEB/JdzcxbNfoAguddBJSodAgz1aErik+vveWYg6vpe8pO/DLjThIGrCYWg2PBJbJseriNKTFliQNxuLPcvqUeWbrDaBpvG70mG2xDAnfoCWi2Sf0f7/Y8UTqtXWRRt/i7aYC73gLnl20SFPaIbsJvLo1fAG", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [Object = _t, Location = _t]), #"Changed Type" = Table.TransformColumnTypes(Source,{{"Object", Int64.Type}, {"Location", type text}}), // Add Index column
#"Added Index" = Table.AddIndexColumn(#"Changed Type", "Index", 0, 1), // Transform index column with modulo, value 3
#"Calculated Modulo" = Table.TransformColumns(#"Added Index", {{"Index", each Number.Mod(_, 3), type number}}), // Pivot on that new column, taking "Location" into values. If you do this by hand, make sure to disable aggregation in the advanced options ("Don't Aggregate".
#"Pivoted Column" = Table.Pivot(Table.TransformColumnTypes(#"Calculated Modulo", {{"Index", type text}}, "en-US"), List.Distinct(Table.TransformColumnTypes(#"Calculated Modulo", {{"Index", type text}}, "en-US")[Index]), "Index", "Location") in #"Pivoted Column"Sure, just pivot on that column instead of the newly created and rename the resulting columns afterwards.
