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Sudharshan1919
Helper III
Helper III

Split of a Field Values

Hi All,

Below format is my data.

 

Date         MachineName            AssociatedUsers

1-Jan              VM1                         Usr1, Usr2, Usr5

2-Jan              VM2                         Usr4

2-Jan              VM3                         Usr3,Usr6

 

I want the data like as below format.

Date         MachineName            AssociatedUsers

1-Jan              VM1                         Usr1

1-Jan              VM1                         Usr2

1-Jan              VM1                         Usr5

2-Jan              VM2                         Usr4

2-Jan              VM2                         Usr3

2-Jan              VM2                         Usr6

 

Kindly help me to achieve this result.

 

Thanks

3 REPLIES 3
v-zhangti
Community Support
Community Support

Hi, @Sudharshan1919 

 

You can try the following methods.
First:

vzhangti_0-1674120039282.png

Result:

vzhangti_1-1674120066613.png

Second:

Make two more copies of the table, leaving one column of AssociatedUsers for each table. Replace the column names of the three tables with consistency.

vzhangti_4-1674120352880.png

Third:

vzhangti_3-1674120275782.png

Result:

vzhangti_5-1674120414495.png

vzhangti_6-1674120539805.png

Is this the result you expect?

 

Best Regards,

Community Support Team _Charlotte

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

pratyashasamal
Super User
Super User

Hi @Sudharshan1919 ,
In PowerQuery Editor , go to  choose Rows >Split Column >Split Column using delimiter.

pratyashasamal_0-1673611315665.png

Thanks ,
Pratyasha Samal .
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negi007
Community Champion
Community Champion

@Sudharshan1919 

 

here is the code and also the pbix file.

 

let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjDU9UrMU9JRCvM1BJKhxUWGOgpA0ghMmirF6gDVGMHVGEHUmKCLG0PEjXWAhJlSbCwA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Date = _t, MachineName = _t, AssociatedUsers = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Date", type date}, {"MachineName", type text}, {"AssociatedUsers", type text}}),
#"Split Column by Delimiter" = Table.SplitColumn(#"Changed Type", "AssociatedUsers", Splitter.SplitTextByDelimiter(",", QuoteStyle.Csv), {"AssociatedUsers.1", "AssociatedUsers.2", "AssociatedUsers.3"}),
#"Changed Type1" = Table.TransformColumnTypes(#"Split Column by Delimiter",{{"AssociatedUsers.1", type text}, {"AssociatedUsers.2", type text}, {"AssociatedUsers.3", type text}}),
#"Unpivoted Only Selected Columns" = Table.Unpivot(#"Changed Type1", {"AssociatedUsers.1", "AssociatedUsers.2", "AssociatedUsers.3"}, "Attribute", "Value"),
#"Removed Columns" = Table.RemoveColumns(#"Unpivoted Only Selected Columns",{"Attribute"})
in
#"Removed Columns"

 

 

 

negi007_0-1673608842317.png

 




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