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.
Hi Anonymous ,
First of all, thank you qqqqqwwwweeerrr and bhanu_gautam for the quick reply. I will provide one other insight for your consideration:
(1) This is my test data.
(2) 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("i45WsjA1NDE3MjYxMlPSUTI00DfUNzIwMgKyDfQMDIxMgQyTp21tSrE66EoNiVdqRLxSiEpjwiqNsKg0xarSGKfKWAA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"POLICY ID" = _t, BUYING_YEAR_MONTHS = _t, INTEREST_RATE_CALCULATION = _t, INCREASED_LIVING_BENEFIT = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"POLICY ID", Int64.Type}, {"BUYING_YEAR_MONTHS", type date}, {"INTEREST_RATE_CALCULATION", type number}, {"INCREASED_LIVING_BENEFIT", type text}}),
#"Grouped Rows" = Table.Group(#"Changed Type", {"POLICY ID"}, {{"Data",each Table.FromColumns(List.Transform(List.Combine(Table.ToRows(Table.SelectColumns(_,{"BUYING_YEAR_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"})
in
#"Expanded Data"
(3) Then the result is as follows.
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.
- Anonymous2 years agoNot applicable
Hi Anonymous ,
Is it possible other Policy ID's with different dates ?
OUTPUT:
Here are the ohter Policy ID's
POLICY_7DIGIT BUYING_YEARS_MONTHS INTEREST_RATE_CALCULATION INCREASED_LIVING_BENEFIT
8514723 01-10-2023 0.0025 7
8514723 01-09-2023 0.0025 7
8514723 01-08-2023 0.0025 6
8514723 01-07-2023 0.0025 6
8514723 01-06-2023 0.0025 6
8514723 01-05-2023 0.0025 6
8514723 01-04-2023 0.0025 5
8514723 01-03-2023 0.0025 5
8514723 01-02-2023 0.0025 5
8514723 01-01-2023 0.0025 4
8514723 01-12-2022 0.0025 4
8514723 01-11-2022 0.0025 4
8514723 01-10-2022 0.0025 4
8303084
8009603
7867950
7801142
7758047 01-06-2018 0.0055 0
7758047 01-05-2018 0 0
7758047 01-05-2018 0 7000
7758047 01-05-2018 0.0055 0
7758047 01-04-2018 0 0
7758047 01-04-2018 0 7000
7758047 01-04-2018 0.0055 0
7758047 01-03-2018 0 0
7758047 01-03-2018 0 7000
7758047 01-03-2018 0.0055 0
7758047 01-02-2018 0 0
7758047 01-02-2018 0 7000
7758047 01-02-2018 0.0055 0
7758047 01-01-2018 0 0
7758047 01-01-2018 0 7000
7758047 01-01-2018 0.0055 0
7758047 01-12-2017 0 0
7758047 01-12-2017 0 7000
7758047 01-12-2017 0.0055 0
7758047 01-11-2017 0 0
7758047 01-11-2017 0 7000
7758047 01-11-2017 0.0055 0
7758047 01-10-2017 0 0
7758047 01-10-2017 0 7000
7758047 01-10-2017 0.0055 0
7758047 01-09-2017 0 0
7758047 01-09-2017 0 7000
7758047 01-09-2017 0.0055 0
7758047 01-08-2017 0 0
7758047 01-08-2017 0 7000
7758047 01-08-2017 0.0055 0
7758047 01-07-2017 0 0
7758047 01-07-2017 0 7000
7758047 01-07-2017 0.0055 0
7758047- Anonymous2 years agoNot applicable
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.
- Anonymous2 years agoNot applicable
Hi Anonymous
Is it possible to create a DAX ? Please help