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Good morning to all,
I'm wanting to pivot a dataset in order to obtain the LATEST result in the [KWh].
I have an idea on on to proceed but cannot figure out to code it.
First, I would create an helper column to identify the latest date for the combination [No Project] and [Step]. Lets say i put an X in that column in the row of the max date
Second, Get rid of all the other rows (filter out the non-X)
Third: Delete the helper column AND the date column
Fourth: Do the pivot which I know how.
Any suggestions appreciated
Date | No Project | Step | KWh |
1-Feb-22 | 21603 | 1 | 556043 |
1-Mar-22 | 21603 | 1 | 556043 |
1-Apr-22 | 21603 | 1 | 456356 |
1-May-22 | 21603 | 2 | 398426 |
1-Jun-22 | 21603 | 2 | 350689 |
1-Jul-22 | 21603 | 3 | 398426 |
1-Aug-22 | 21603 | 4 | 354896 |
1-Sep-22 | 21603 | 4 | 359632 |
Solved! Go to Solution.
See the working here - Open a blank query - Home - Advanced Editor - Remove everything from there and paste the below code to test
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("hdA9C8MgEAbg/3JzAt4nOmbpUMjUMTi0ELqUEgoZ+u8bQyIoQoVD5R7eQ6cJsL/Mj54IOiA0x9uOW6maE4bYJTHeP3/EsDSEqLFazviWIp05eKFTXNd3Q6gzH7J4lYLrjGF9lkL2DPHhFLd5aYlgTIfI/4H7Oh6DxPWM3E8XccHVIwpALBDjDw==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Date = _t, #"No Project" = _t, Step = _t, KWh = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Date", type date}, {"No Project", Int64.Type}, {"Step", Int64.Type}, {"KWh", Int64.Type}}),
#"Grouped Rows" = Table.Group(#"Changed Type", {"No Project", "Step"}, {{"MaxDate", each List.Max([Date]), type nullable date}}),
#"Merged Queries" = Table.NestedJoin(#"Grouped Rows", {"No Project", "Step", "MaxDate"}, #"Changed Type", {"No Project", "Step", "Date"}, "Grouped Rows", JoinKind.LeftOuter),
#"Expanded Grouped Rows" = Table.ExpandTableColumn(#"Merged Queries", "Grouped Rows", {"KWh"}, {"KWh"}),
#"Removed Columns" = Table.RemoveColumns(#"Expanded Grouped Rows",{"MaxDate"}),
#"Pivoted Column" = Table.Pivot(Table.TransformColumnTypes(#"Removed Columns", {{"Step", type text}}, "en-US"), List.Distinct(Table.TransformColumnTypes(#"Removed Columns", {{"Step", type text}}, "en-US")[Step]), "Step", "KWh", List.Sum)
in
#"Pivoted Column"
See the working here - Open a blank query - Home - Advanced Editor - Remove everything from there and paste the below code to test
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("hdA9C8MgEAbg/3JzAt4nOmbpUMjUMTi0ELqUEgoZ+u8bQyIoQoVD5R7eQ6cJsL/Mj54IOiA0x9uOW6maE4bYJTHeP3/EsDSEqLFazviWIp05eKFTXNd3Q6gzH7J4lYLrjGF9lkL2DPHhFLd5aYlgTIfI/4H7Oh6DxPWM3E8XccHVIwpALBDjDw==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Date = _t, #"No Project" = _t, Step = _t, KWh = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Date", type date}, {"No Project", Int64.Type}, {"Step", Int64.Type}, {"KWh", Int64.Type}}),
#"Grouped Rows" = Table.Group(#"Changed Type", {"No Project", "Step"}, {{"MaxDate", each List.Max([Date]), type nullable date}}),
#"Merged Queries" = Table.NestedJoin(#"Grouped Rows", {"No Project", "Step", "MaxDate"}, #"Changed Type", {"No Project", "Step", "Date"}, "Grouped Rows", JoinKind.LeftOuter),
#"Expanded Grouped Rows" = Table.ExpandTableColumn(#"Merged Queries", "Grouped Rows", {"KWh"}, {"KWh"}),
#"Removed Columns" = Table.RemoveColumns(#"Expanded Grouped Rows",{"MaxDate"}),
#"Pivoted Column" = Table.Pivot(Table.TransformColumnTypes(#"Removed Columns", {{"Step", type text}}, "en-US"), List.Distinct(Table.TransformColumnTypes(#"Removed Columns", {{"Step", type text}}, "en-US")[Step]), "Step", "KWh", List.Sum)
in
#"Pivoted Column"
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