Check your eligibility for this 50% exam voucher offer and join us for free live learning sessions to get prepared for Exam DP-700.
Get StartedDon't miss out! 2025 Microsoft Fabric Community Conference, March 31 - April 2, Las Vegas, Nevada. Use code MSCUST for a $150 discount. Prices go up February 11th. Register now.
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
Hi, @Sudharshan1919
You can try the following methods.
First:
Result:
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.
Third:
Result:
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.
Hi @Sudharshan1919 ,
In PowerQuery Editor , go to choose Rows >Split Column >Split Column using delimiter.
Thanks ,
Pratyasha Samal .
Has this post solved your problem? Please Accept as Solution so that others can find it quickly and to let the community know your problem has been solved.
If you found this post helpful, please give Kudos C
Proud to be a Super User!
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"
Proud to be a Super User!
March 31 - April 2, 2025, in Las Vegas, Nevada. Use code MSCUST for a $150 discount! Prices go up Feb. 11th.
Check out the January 2025 Power BI update to learn about new features in Reporting, Modeling, and Data Connectivity.
User | Count |
---|---|
146 | |
85 | |
66 | |
52 | |
48 |
User | Count |
---|---|
215 | |
90 | |
83 | |
67 | |
59 |