Forum Discussion
Need urgent help on convertion from Rows values to Column values in Power Bi
- Anonymous2 years ago
Hi Anonymous ,
In PBI Desktop, click "transform data" to enter the power query editor, then click "Advanced Editor" to copy and paste the following code. You can view the steps in the Steps column on the right, and you can modify the data source by clicking the gear next to "Source".
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("hdRBCoQwDIXhq4jrcXhJmyaeRbz/NYbpiOLYJLsHP/0WpXTbZhOqymUCLYSF8Z1vgGXSeX/dOtak2623R9ekt6RL0uuty6OXpHPS6dbrf6d+nv1OSceoFxTYsYG1ofSt1nQVHBtElX9bxVD1vE+y7olMeHQ5epQU8KsHVx+uIVwTuPhwCeGSwOzDHMKcwOTDFMIUw/2xkY7gK43gs3ow+TCFMCUwfBghjBju/9IYvtLwjtcENh+2ELYEVh/WEFYfnvf9Aw==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"POLICY_7DIGIT BUYING_YEARS_MONTHS INTEREST_RATE_CALCULATION INCREASED_LIVING_BENEFIT" = _t]), #"Changed Type" = Table.TransformColumnTypes(Source,{{"POLICY_7DIGIT BUYING_YEARS_MONTHS INTEREST_RATE_CALCULATION INCREASED_LIVING_BENEFIT", type text}}), #"Demoted Headers" = Table.DemoteHeaders(#"Changed Type"), #"Changed Type1" = Table.TransformColumnTypes(#"Demoted Headers",{{"Column1", type text}}), #"Split Column by Delimiter" = Table.SplitColumn(#"Changed Type1", "Column1", Splitter.SplitTextByDelimiter(" ", QuoteStyle.Csv), {"Column1.1", "Column1.2", "Column1.3", "Column1.4"}), #"Changed Type2" = Table.TransformColumnTypes(#"Split Column by Delimiter",{{"Column1.1", type text}, {"Column1.2", type text}, {"Column1.3", type text}, {"Column1.4", type text}}), #"Promoted Headers" = Table.PromoteHeaders(#"Changed Type2", [PromoteAllScalars=true]), #"Changed Type3" = Table.TransformColumnTypes(#"Promoted Headers",{{"POLICY_7DIGIT", Int64.Type}, {"BUYING_YEARS_MONTHS", type date}, {"INTEREST_RATE_CALCULATION", type number}, {"INCREASED_LIVING_BENEFIT", Int64.Type}}), #"Grouped Rows" = Table.Group(#"Changed Type3", {"POLICY_7DIGIT"}, {{"Data", each Table.FromColumns(List.Transform(List.Combine(Table.ToRows(Table.SelectColumns(_,{"BUYING_YEARS_MONTHS","INTEREST_RATE_CALCULATION","INCREASED_LIVING_BENEFIT"}))),each {_}))}}), #"Expanded Data" = Table.ExpandTableColumn(#"Grouped Rows", "Data", {"Column1", "Column2", "Column3", "Column4", "Column5", "Column6", "Column7", "Column8", "Column9", "Column10", "Column11", "Column12", "Column13", "Column14", "Column15", "Column16", "Column17", "Column18", "Column19", "Column20", "Column21", "Column22", "Column23", "Column24", "Column25", "Column26", "Column27", "Column28", "Column29", "Column30", "Column31", "Column32", "Column33", "Column34", "Column35", "Column36", "Column37", "Column38", "Column39", "Column40", "Column41", "Column42", "Column43", "Column44", "Column45", "Column46", "Column47", "Column48", "Column49", "Column50", "Column51", "Column52", "Column53", "Column54", "Column55", "Column56", "Column57", "Column58", "Column59", "Column60", "Column61", "Column62", "Column63", "Column64", "Column65", "Column66", "Column67", "Column68", "Column69", "Column70", "Column71", "Column72", "Column73", "Column74", "Column75", "Column76", "Column77", "Column78", "Column79", "Column80", "Column81", "Column82", "Column83", "Column84", "Column85", "Column86", "Column87", "Column88", "Column89", "Column90", "Column91", "Column92", "Column93", "Column94", "Column95", "Column96", "Column97", "Column98", "Column99", "Column100", "Column101", "Column102", "Column103", "Column104", "Column105"}, {"Data.Column1", "Data.Column2", "Data.Column3", "Data.Column4", "Data.Column5", "Data.Column6", "Data.Column7", "Data.Column8", "Data.Column9", "Data.Column10", "Data.Column11", "Data.Column12", "Data.Column13", "Data.Column14", "Data.Column15", "Data.Column16", "Data.Column17", "Data.Column18", "Data.Column19", "Data.Column20", "Data.Column21", "Data.Column22", "Data.Column23", "Data.Column24", "Data.Column25", "Data.Column26", "Data.Column27", "Data.Column28", "Data.Column29", "Data.Column30", "Data.Column31", "Data.Column32", "Data.Column33", "Data.Column34", "Data.Column35", "Data.Column36", "Data.Column37", "Data.Column38", "Data.Column39", "Data.Column40", "Data.Column41", "Data.Column42", "Data.Column43", "Data.Column44", "Data.Column45", "Data.Column46", "Data.Column47", "Data.Column48", "Data.Column49", "Data.Column50", "Data.Column51", "Data.Column52", "Data.Column53", "Data.Column54", "Data.Column55", "Data.Column56", "Data.Column57", "Data.Column58", "Data.Column59", "Data.Column60", "Data.Column61", "Data.Column62", "Data.Column63", "Data.Column64", "Data.Column65", "Data.Column66", "Data.Column67", "Data.Column68", "Data.Column69", "Data.Column70", "Data.Column71", "Data.Column72", "Data.Column73", "Data.Column74", "Data.Column75", "Data.Column76", "Data.Column77", "Data.Column78", "Data.Column79", "Data.Column80", "Data.Column81", "Data.Column82", "Data.Column83", "Data.Column84", "Data.Column85", "Data.Column86", "Data.Column87", "Data.Column88", "Data.Column89", "Data.Column90", "Data.Column91", "Data.Column92", "Data.Column93", "Data.Column94", "Data.Column95", "Data.Column96", "Data.Column97", "Data.Column98", "Data.Column99", "Data.Column100", "Data.Column101", "Data.Column102", "Data.Column103", "Data.Column104", "Data.Column105"}) in #"Expanded Data"Best Regards,
Neeko Tang
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Anonymous , You can use Pivot in Power query
Click on "Transform Data".
Pivot the Data:
Select the BUYING_YEARS_MONTHS column.
Click on "Transform" > "Pivot Column".
In the "Values Column" dropdown, select INCREASED_LIVING_BENEFIT.
Click "OK".
Adjust Data Types:
Ensure the new columns have the correct data types.
- Anonymous2 years agoNot applicable
Is it possible in DAX ? Because I have share only one policy ID here. In original data so many ID's and BUYING_YEARS_MONTHS date's are there.