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I have data in below format:
Date | Asset ID | Value |
1/1/2022 | 1 | 50 |
1/2/2022 | 2 | 55 |
1/3/2022 | 3 | 60 |
1/4/2022 | 4 | 65 |
I would like to transform this table below:
A common date column, but each asset having its own column. Any tips? Either as a calculated table or via Power Query.
Date | Asset 1 | Asset 2 | Asset 3 | Asset 4 | Value |
Solved! Go to Solution.
Hi @numersoz
Is this an output you are looking for?
if yes, in Power Query select Asset and Value and use pivot column.
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WckksSVXSUXIsLk4tUfB0ATLDEnNKU5VidaKVDPUN9Y0MjIyAgoZAbGoAFTWCiYKwqSlU1BgmagzEZjC1JjBRE5AoUG0sAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"(blank)" = _t, #"(blank).1" = _t, #"(blank).2" = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"(blank)", type text}, {"(blank).1", type text}, {"(blank).2", type text}}),
#"Promoted Headers" = Table.PromoteHeaders(#"Changed Type", [PromoteAllScalars=true]),
#"Changed Type1" = Table.TransformColumnTypes(#"Promoted Headers",{{"Date", type date}, {"Asset ID", Int64.Type}, {"Value", Int64.Type}}),
#"Pivoted Column" = Table.Pivot(Table.TransformColumnTypes(#"Changed Type1", {{"Asset ID", type text}}, "en-AU"), List.Distinct(Table.TransformColumnTypes(#"Changed Type1", {{"Asset ID", type text}}, "en-AU")[#"Asset ID"]), "Asset ID", "Value"),
#"Renamed Columns" = Table.RenameColumns(#"Pivoted Column",{{"1", "Asset 1"}, {"2", "Asset 2"}, {"3", "Asset 3"}, {"4", "Asset 4"}})
in
#"Renamed Columns"
IF no, please share an expected result
If this post helps, please consider accepting it as the solution to help the other members find it more quickly.
Appreciate your Kudos!!
LinkedIn: www.linkedin.com/in/vahid-dm/
Hi @numersoz
Is this an output you are looking for?
if yes, in Power Query select Asset and Value and use pivot column.
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WckksSVXSUXIsLk4tUfB0ATLDEnNKU5VidaKVDPUN9Y0MjIyAgoZAbGoAFTWCiYKwqSlU1BgmagzEZjC1JjBRE5AoUG0sAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"(blank)" = _t, #"(blank).1" = _t, #"(blank).2" = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"(blank)", type text}, {"(blank).1", type text}, {"(blank).2", type text}}),
#"Promoted Headers" = Table.PromoteHeaders(#"Changed Type", [PromoteAllScalars=true]),
#"Changed Type1" = Table.TransformColumnTypes(#"Promoted Headers",{{"Date", type date}, {"Asset ID", Int64.Type}, {"Value", Int64.Type}}),
#"Pivoted Column" = Table.Pivot(Table.TransformColumnTypes(#"Changed Type1", {{"Asset ID", type text}}, "en-AU"), List.Distinct(Table.TransformColumnTypes(#"Changed Type1", {{"Asset ID", type text}}, "en-AU")[#"Asset ID"]), "Asset ID", "Value"),
#"Renamed Columns" = Table.RenameColumns(#"Pivoted Column",{{"1", "Asset 1"}, {"2", "Asset 2"}, {"3", "Asset 3"}, {"4", "Asset 4"}})
in
#"Renamed Columns"
IF no, please share an expected result
If this post helps, please consider accepting it as the solution to help the other members find it more quickly.
Appreciate your Kudos!!
LinkedIn: www.linkedin.com/in/vahid-dm/
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