Forum Discussion
Unpivot in Power Query
- 4 years ago
Move the Review Date column to the left (in 2nd position).
Select the 1st four columns and Unpivot Other Columns.
Split the Attribute column (from non-digit to digit).
Select the Attribute1 column and Pivot (with Value in Values) and Don't Aggregate from the Advanced.
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Let me know how it goes
- 4 years ago
Unpivot every column ending in a digit, split the digit off of the end (Home > Transform > Spit Column > By Non-Digit to Digit), and then re-pivot.
After pivoting and splitting:
Full code you can paste into the Advanced Editor:
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("lc+xCsIwEMbxVymZCzWX5AFqVRAUxNopdAg1gyIWqoOPb7LI5bjBm/LP1w6/eK+0qtVpme9xeldtat3oBlaQ56Ev7114hmsot2P83Ka53PavJcRHuUmyupyHbTp37aHPJ7n+/hxrrwDx16mB8IHhA8MHho82SUr4BvG71IbwDcM3DN8wfLRJUsK3iL9JbQnfMnzL8C3DR5skKZ88o+A7xM8fHeE7hu8YvmP4aJPk3/zxCw==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"Project Number" = _t, ProjectName = _t, Modified = _t, LaunchCountryCode1 = _t, LaunchDate1 = _t, LaunchCountryCode2 = _t, LaunchDate2 = _t, LaunchCountryCode3 = _t, LaunchDate3 = _t, LaunchCountryCode4 = _t, LaunchDate4 = _t, PrelaunchDate1 = _t, PrelaunchDate2 = _t, PrelaunchDate3 = _t, PrelaunchDate4 = _t, PlantoLaunch1 = _t, PlantoLaunch2 = _t, PlantoLaunch3 = _t, PlantoLaunch4 = _t, #"Review Date" = _t]), #"Changed Type" = Table.TransformColumnTypes(Source,{{"Project Number", Int64.Type}, {"ProjectName", type text}, {"Modified", type date}, {"LaunchCountryCode1", type text}, {"LaunchDate1", type date}, {"LaunchCountryCode2", type text}, {"LaunchDate2", type date}, {"LaunchCountryCode3", type text}, {"LaunchDate3", type date}, {"LaunchCountryCode4", type text}, {"LaunchDate4", type date}, {"PrelaunchDate1", type date}, {"PrelaunchDate2", type date}, {"PrelaunchDate3", type date}, {"PrelaunchDate4", type date}, {"PlantoLaunch1", type logical}, {"PlantoLaunch2", type logical}, {"PlantoLaunch3", type logical}, {"PlantoLaunch4", type logical}, {"Review Date", type date}}), #"Unpivoted Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"Project Number", "ProjectName", "Modified", "Review Date"}, "Attribute", "Value"), #"Split Column by Character Transition" = Table.SplitColumn(#"Unpivoted Columns", "Attribute", Splitter.SplitTextByCharacterTransition((c) => not List.Contains({"0".."9"}, c), {"0".."9"}), {"Attribute", "Index"}), #"Pivoted Column" = Table.Pivot(#"Split Column by Character Transition", List.Distinct(#"Split Column by Character Transition"[Attribute]), "Attribute", "Value"), #"Changed Type1" = Table.TransformColumnTypes(#"Pivoted Column",{{"LaunchCountryCode", type text}, {"LaunchDate", type date}, {"PrelaunchDate", type date}, {"PlantoLaunch", type logical}}) in #"Changed Type1"
Stev_data welcome to the forum.
I suggest you post this question as a new post (rather than tagging on to this existing solved post).
Please post the data as text and show your desired outcome. Also, it's not clear what result you want from the Value column so please show an example