This time we’re going bigger than ever. Fabric, Power BI, SQL, AI and more. We're covering it all. You won't want to miss it.
Learn moreLevel up your Power BI skills this month - build one visual each week and tell better stories with data! Get started
Hi there,
I want to pivot / unpivot some data maybe using power query or something else. Happy to take suggestions.
I have a data set I want to transform for a mail merge, so the idea is the get all data into the one record. Normal unpivot columns in Power Query doesn't give the desired result.
This is before
| Name | Subject | Date | Session |
| John | Math | 14/07/2023 | 1 |
| John | English | 11/07/2023 | 2 |
| John | Drama | 11/07/2023 | 1 |
| Mary | Math | 15/07/2023 | 1 |
| Mary | English | 15/07/2023 | 2 |
| Mary | Drama | 13/07/2023 | 1 |
| Mary | Science | 13/07/2023 | 3 |
.
this is after
| Name | Subject1 | Date1 | Session1 | Subject2 | Date2 | Session2 | Subject3 | Date3 | Session3 | Subject4 | Date4 | Session4 |
| John | Math | 14/07/2023 | 1 | English | 11/07/2023 | 2 | Drama | 11/07/2023 | 1 | |||
| Mary | Math | 15/07/2023 | 1 | English | 15/07/2023 | 2 | Drama | 13/07/2023 | 1 | Science | 13/07/2023 | 3 |
Thanks
Q
@pickslides Please Use below M Code.
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45W8srPyFPSUfJNLMkAUoYm+gbm+kYGRsYgjlKsDlyBa156TmYxWI0hkhojZDUuRYm5iegqIKb4JhZVIlljiksBkjWmGNZA1cCtMcZlSnByZmpeciq6GmOl2FgA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Name = _t, Subject = _t, Date = _t, Session = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Name", type text}, {"Subject", type text}, {"Date", type text}, {"Session",type text}}),
#"Grouped Rows" = Table.Group(#"Changed Type", {"Name"}, {{"Columns", each _[Subject]},{"Date", each Text.Combine(_[Date],"|")},{"Session", each Text.Combine(_[Session],"|")}}),
#"Extracted Values" = Table.TransformColumns(#"Grouped Rows", {"Columns", each Text.Combine(List.Transform(_, Text.From)), type text}),
#"Split Column by Character Transition" = Table.SplitColumn(#"Extracted Values", "Columns", Splitter.SplitTextByCharacterTransition({"a".."z"}, {"A".."Z"}), {"Columns.1", "Columns.2", "Columns.3", "Columns.4"}),
#"Split Column by Delimiter" = Table.SplitColumn(#"Split Column by Character Transition", "Date", Splitter.SplitTextByDelimiter("|", QuoteStyle.None), {"Date.1", "Date.2", "Date.3", "Date.4"}),
#"Changed Type1" = Table.TransformColumnTypes(#"Split Column by Delimiter",{{"Columns.1", type text}, {"Columns.2", type text}, {"Columns.3", type text}, {"Columns.4", type text}, {"Date.1", type date}, {"Date.2", type date}, {"Date.3", type date}, {"Date.4", type date}}),
#"Split Column by Delimiter1" = Table.SplitColumn(#"Changed Type1", "Session", Splitter.SplitTextByDelimiter("|", QuoteStyle.None), {"Session.1", "Session.2", "Session.3", "Session.4"}),
#"Changed Type2" = Table.TransformColumnTypes(#"Split Column by Delimiter1",{{"Session.1", Int64.Type}, {"Session.2", Int64.Type}, {"Session.3", Int64.Type}, {"Session.4", Int64.Type}}),
#"Renamed Columns" = Table.RenameColumns(#"Changed Type2",{{"Session.1", "Session1"}, {"Session.2", "Session2"}, {"Session.3", "Session3"}, {"Session.4", "Session4"}, {"Columns.1", "Subject1"}, {"Columns.2", "Subject2"}, {"Columns.3", "Subject3"}, {"Columns.4", "Subject4"}, {"Date.1", "Date1"}, {"Date.2", "Date2"}, {"Date.3", "Date3"}, {"Date.4", "Date4"}}),
#"Reordered Columns" = Table.ReorderColumns(#"Renamed Columns",{"Name", "Subject1", "Date1", "Session1", "Subject2", "Date2", "Session2", "Subject3", "Date3", "Session3", "Subject4", "Date4", "Session4"})
in
#"Reordered Columns"
Check out the April 2026 Power BI update to learn about new features.
Sign up to receive a private message when registration opens and key events begin.
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.