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Hi Team,
Please help me to transform the below data in required format
I have some data in the below format.
| Attribute | Value |
| Emp name | John |
| Dept | Mathematics |
| Emp ID | 123 |
| Emp name | Daniel |
| Dept | Science |
| Emp ID | 124 |
| Emp name | Mohammed |
| Dept | History |
| Emp ID | 125 |
| Emp name | Andreas |
| Dept | English |
| Emp ID | 126 |
| Emp name | Richard |
| Dept | Geography |
| Emp ID | 127 |
Now i need to transform this as below.
| Emp ID | Emp name | Dept |
| John | Mathematics | 123 |
| Daniel | Science | 124 |
| Mohammed | History | 125 |
| Andreas | English | 126 |
| Richard | Geography | 127 |
Regards,
Priyanga
Solved! Go to Solution.
Hi @Anonymous ,
that is basically an unstacking exercise where you need an ID column for each row. You can create that as follows:
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("Zc0/C8IwEAXwryI3d/H/LLRohS46hgxHejQHzSUkWfz2VhGJcbx378dTCjoXVoKOoIGrtwK6UdBSyMs9YLbkMLNJ7/hV7dvlsd5sv8HHtihMc6nvhkkM1XJXy8FbdI7G0l44ZR8ftd3X9iRjJEwl7WSaOdmaHmp6Y2Mx/qyeyU8Rg/3bPYLWTw==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Attribute = _t, Value = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Attribute", type text}, {"Value", type text}}),
#"Added Index" = Table.AddIndexColumn(#"Changed Type", "Index", 0, 1, Int64.Type),
#"Integer-Divided Column" = Table.TransformColumns(#"Added Index", {{"Index", each Number.IntegerDivide(_, 3), Int64.Type}}),
#"Pivoted Column" = Table.Pivot(#"Integer-Divided Column", List.Distinct(#"Integer-Divided Column"[Attribute]), "Attribute", "Value")
in
#"Pivoted Column"
See steps: "Add Index" and "Integer-Divide Column".
Imke Feldmann (The BIccountant)
If you liked my solution, please give it a thumbs up. And if I did answer your question, please mark this post as a solution. Thanks!
How to integrate M-code into your solution -- How to get your questions answered quickly -- How to provide sample data -- Check out more PBI- learning resources here -- Performance Tipps for M-queries
=Table.Combine(List.Transform(Table.Split(PreviousStepName,3),each Table.PromoteHeaders(Table.Transpose(_))))
Hi @Anonymous ,
that is basically an unstacking exercise where you need an ID column for each row. You can create that as follows:
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("Zc0/C8IwEAXwryI3d/H/LLRohS46hgxHejQHzSUkWfz2VhGJcbx378dTCjoXVoKOoIGrtwK6UdBSyMs9YLbkMLNJ7/hV7dvlsd5sv8HHtihMc6nvhkkM1XJXy8FbdI7G0l44ZR8ftd3X9iRjJEwl7WSaOdmaHmp6Y2Mx/qyeyU8Rg/3bPYLWTw==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Attribute = _t, Value = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Attribute", type text}, {"Value", type text}}),
#"Added Index" = Table.AddIndexColumn(#"Changed Type", "Index", 0, 1, Int64.Type),
#"Integer-Divided Column" = Table.TransformColumns(#"Added Index", {{"Index", each Number.IntegerDivide(_, 3), Int64.Type}}),
#"Pivoted Column" = Table.Pivot(#"Integer-Divided Column", List.Distinct(#"Integer-Divided Column"[Attribute]), "Attribute", "Value")
in
#"Pivoted Column"
See steps: "Add Index" and "Integer-Divide Column".
Imke Feldmann (The BIccountant)
If you liked my solution, please give it a thumbs up. And if I did answer your question, please mark this post as a solution. Thanks!
How to integrate M-code into your solution -- How to get your questions answered quickly -- How to provide sample data -- Check out more PBI- learning resources here -- Performance Tipps for M-queries
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