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Chen2023
New Member

Group multiple columns to one row per ID

Hi all,

I would like to get your help in issue that I'm faced with.

I have this table:

 

Chen2023_0-1664623833426.png

 



I would like to group all these colums to one row per Computer ID (please find the desired result below):

 

Chen2023_1-1664623848616.png

 


Is it possible to perform? what should I do in order to get this?

Thanks in advance!

1 ACCEPTED SOLUTION
v-yalanwu-msft
Community Support
Community Support

Hi, @Chen2023 ;

Try it.

1.unpivot [February],[March],[April] columns:

vyalanwumsft_0-1664872007738.png

2.select the [Attribute] column the pivot it.

vyalanwumsft_1-1664872058646.png

The final show:

vyalanwumsft_2-1664872079194.png

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlTSUXJMLsksSwUy/EpzcmBUrA5EEioWnJOaWpCZl45DGko5FaUmZqfkl+eB5Y3wmW2EEENVgyaJqgYkaYzFOUh6jfEZbILiSEzNJjg1xwIA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"Computer ID" = _t, February = _t, March = _t, April = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Computer ID", Int64.Type}, {"February", type text}, {"March", type text}, {"April", type text}}),
    #"Replaced Value" = Table.ReplaceValue(#"Changed Type","Null",null,Replacer.ReplaceValue,{"February", "March", "April"}),
    #"Unpivoted Columns" = Table.UnpivotOtherColumns(#"Replaced Value", {"Computer ID"}, "Attribute", "Value"),
    #"Pivoted Column" = Table.Pivot(#"Unpivoted Columns", List.Distinct(#"Unpivoted Columns"[Attribute]), "Attribute", "Value")
in
    #"Pivoted Column"


Best Regards,
Community Support Team _ Yalan Wu
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

View solution in original post

2 REPLIES 2
v-yalanwu-msft
Community Support
Community Support

Hi, @Chen2023 ;

Try it.

1.unpivot [February],[March],[April] columns:

vyalanwumsft_0-1664872007738.png

2.select the [Attribute] column the pivot it.

vyalanwumsft_1-1664872058646.png

The final show:

vyalanwumsft_2-1664872079194.png

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlTSUXJMLsksSwUy/EpzcmBUrA5EEioWnJOaWpCZl45DGko5FaUmZqfkl+eB5Y3wmW2EEENVgyaJqgYkaYzFOUh6jfEZbILiSEzNJjg1xwIA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"Computer ID" = _t, February = _t, March = _t, April = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Computer ID", Int64.Type}, {"February", type text}, {"March", type text}, {"April", type text}}),
    #"Replaced Value" = Table.ReplaceValue(#"Changed Type","Null",null,Replacer.ReplaceValue,{"February", "March", "April"}),
    #"Unpivoted Columns" = Table.UnpivotOtherColumns(#"Replaced Value", {"Computer ID"}, "Attribute", "Value"),
    #"Pivoted Column" = Table.Pivot(#"Unpivoted Columns", List.Distinct(#"Unpivoted Columns"[Attribute]), "Attribute", "Value")
in
    #"Pivoted Column"


Best Regards,
Community Support Team _ Yalan Wu
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

Greg_Deckler
Community Champion
Community Champion

@Chen2023 Do a Group By step by ID and use a Maximum aggregator for each of your columns. You need to use the Advanced options of Group by.

Greg_Deckler_0-1664627401508.png

 



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