Skip to main content
cancel
Showing results for 
Search instead for 
Did you mean: 

Grow your Fabric skills and prepare for the DP-600 certification exam by completing the latest Microsoft Fabric challenge.

Reply
Lily36876
Helper II
Helper II

Columns Data Reorganization

Hi Guys,

I want to brief product name , all data comes from sql server not csv.

first three columns data is existing in  same table , but product name is too long to show on dashboard,

so I want to reorganizing like follow example,

please help some idea thanks!!

 Lily36876_0-1665980436371.png

 

1 ACCEPTED SOLUTION
Jihwan_Kim
Super User
Super User

Hi,

Please check the below picture and the attached pbix file.

It is for creating a new column.

 

Jihwan_Kim_0-1665981821637.png

 

 

Ideal Type CC =
VAR _newproduct =
    REPLACE ( Data[Product], 1, LEN ( Data[Brand] ), "" )
RETURN
    Data[Short Name] & _newproduct

If this post helps, then please consider accepting it as the solution to help other members find it faster, and give a big thumbs up.


Go to My LinkedIn Page


View solution in original post

3 REPLIES 3
Jihwan_Kim
Super User
Super User

Hi,

Please check the below picture and the attached pbix file.

It is for creating a new column.

 

Jihwan_Kim_0-1665981821637.png

 

 

Ideal Type CC =
VAR _newproduct =
    REPLACE ( Data[Product], 1, LEN ( Data[Brand] ), "" )
RETURN
    Data[Short Name] & _newproduct

If this post helps, then please consider accepting it as the solution to help other members find it faster, and give a big thumbs up.


Go to My LinkedIn Page


Thanks for reply!! Is really useful for me

Shaurya
Memorable Member
Memorable Member

Hi @Lily36876,

 

Split the text by first occurence of space, change the first part to Upper Case, extract first two characters from it and merge the result with the second part of original string.

 

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WcsnML1JwTEnJTC5R8MksUHDPyS9Xio0FAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Name = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Name", type text}}),
    #"Split Column by Delimiter" = Table.SplitColumn(#"Changed Type", "Name", Splitter.SplitTextByEachDelimiter({" "}, QuoteStyle.Csv, false), {"Name.1", "Name.2"}),
    #"Changed Type1" = Table.TransformColumnTypes(#"Split Column by Delimiter",{{"Name.1", type text}, {"Name.2", type text}}),
    #"Uppercased Text" = Table.TransformColumns(#"Changed Type1",{{"Name.1", Text.Upper, type text}}),
    #"Added Custom" = Table.AddColumn(#"Uppercased Text", "Custom", each Text.Range([Name.1],0,2)),
    #"Merged Columns" = Table.CombineColumns(#"Added Custom",{"Custom", "Name.2"},Combiner.CombineTextByDelimiter(" ", QuoteStyle.None),"Merged"),
    #"Removed Columns" = Table.RemoveColumns(#"Merged Columns",{"Name.1"})
in
    #"Removed Columns"

 

Works for you? Mark this post as a solution if it does!
Consider taking a look at my blog: Forecast Period - Previous Forecasts

Helpful resources

Announcements
Europe Fabric Conference

Europe’s largest Microsoft Fabric Community Conference

Join the community in Stockholm for expert Microsoft Fabric learning including a very exciting keynote from Arun Ulag, Corporate Vice President, Azure Data.

RTI Forums Carousel3

New forum boards available in Real-Time Intelligence.

Ask questions in Eventhouse and KQL, Eventstream, and Reflex.

MayPowerBICarousel1

Power BI Monthly Update - May 2024

Check out the May 2024 Power BI update to learn about new features.