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Kumar11109
Helper IV
Helper IV

How to put Comma Separated Values of a cell in separate rows

Dear All, 

 

I am struggling with a data-set. For each child the scores are in a cell separated by comma. I want first separate them and then put them in single row. The way it is shows below the data set. I have done that manually! Can some body help me? The above is the data set, and below is what I want. 

 

Screenshot (3).png

 

 

Thank You, 

1 ACCEPTED SOLUTION
Greg_Deckler
Super User
Super User

In Power Query you should be able to use Split Column by Delimiter on your Scores column (Transform tab in the Text column area) and then you can upivot the resulting columns.

 

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45Wcs5JLC42U9JRckosTvXJzEsFMk11jHQMQVApNhYA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [classtype = _t, #"type" = _t, scores = _t]),
    #"Split Column by Delimiter" = Table.SplitColumn(Source, "scores", Splitter.SplitTextByDelimiter(",", QuoteStyle.Csv), {"scores.1", "scores.2", "scores.3", "scores.4", "scores.5"}),
    #"Changed Type" = Table.TransformColumnTypes(#"Split Column by Delimiter",{{"classtype", type text}, {"type", type text}, {"scores.1", Int64.Type}, {"scores.2", Int64.Type}, {"scores.3", Int64.Type}, {"scores.4", Int64.Type}, {"scores.5", Int64.Type}}),
    #"Unpivoted Other Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"classtype", "type"}, "Attribute", "Value"),
    #"Removed Columns" = Table.RemoveColumns(#"Unpivoted Other Columns",{"Attribute"})
in
    #"Removed Columns"

@ me in replies or I'll lose your thread!!!
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Become an expert!: Enterprise DNA
External Tools: MSHGQM
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The Definitive Guide to Power Query (M)

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1 REPLY 1
Greg_Deckler
Super User
Super User

In Power Query you should be able to use Split Column by Delimiter on your Scores column (Transform tab in the Text column area) and then you can upivot the resulting columns.

 

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45Wcs5JLC42U9JRckosTvXJzEsFMk11jHQMQVApNhYA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [classtype = _t, #"type" = _t, scores = _t]),
    #"Split Column by Delimiter" = Table.SplitColumn(Source, "scores", Splitter.SplitTextByDelimiter(",", QuoteStyle.Csv), {"scores.1", "scores.2", "scores.3", "scores.4", "scores.5"}),
    #"Changed Type" = Table.TransformColumnTypes(#"Split Column by Delimiter",{{"classtype", type text}, {"type", type text}, {"scores.1", Int64.Type}, {"scores.2", Int64.Type}, {"scores.3", Int64.Type}, {"scores.4", Int64.Type}, {"scores.5", Int64.Type}}),
    #"Unpivoted Other Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"classtype", "type"}, "Attribute", "Value"),
    #"Removed Columns" = Table.RemoveColumns(#"Unpivoted Other Columns",{"Attribute"})
in
    #"Removed Columns"

@ me in replies or I'll lose your thread!!!
Instead of a Kudo, please vote for this idea
Become an expert!: Enterprise DNA
External Tools: MSHGQM
YouTube Channel!: Microsoft Hates Greg
Latest book!:
The Definitive Guide to Power Query (M)

DAX is easy, CALCULATE makes DAX hard...

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