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

Data Days is here! Join us now for 60+ days of learning, challenges, and connection. Learn more

Reply
BO7
Regular Visitor

Separating Values Into Rows

I have a column that contains multiple ID's. The format of each cell is different; for example, I have a cell that looks like this:

 

[APP1234567APP9876543APP6789012]

 

I also have cells that look like this:

 

[APP1234567879;APP245674128;APP5558246]

 

I also have cells that have a combination of the above datasets. Is there a way to separate the data so that each value that starts with 'APP' has its own row? The delimiter function is not helping me with this.

1 ACCEPTED SOLUTION
SundarRaj
Super User
Super User

Hi @BO7 , here's another solution you could look. Thanks!

SundarRaj_0-1745483970090.png

SundarRaj_1-1745484011475.png

Here's the code:
let
Source = Excel.CurrentWorkbook(){[Name="Table1"]}[Content],
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Texts", type text}}),
Number = Table.TransformColumns(#"Changed Type",{}, each List.Count(Text.PositionOf(_,"A",Occurrence.All)) + 1),
ColNumber = List.Max(Number[Texts]),
ColNames = List.Transform({1..ColNumber}, each "Col" & Text.From(_)),
Custom1 = #"Changed Type",
#"Split Column by Delimiter" = Table.SplitColumn(Custom1, "Texts", Splitter.SplitTextByDelimiter("APP", QuoteStyle.Csv), ColNames),
#"Removed Columns" = Table.RemoveColumns(#"Split Column by Delimiter",{"Col1"}),
Custom2 = Table.TransformColumns(#"Removed Columns",{}, each Text.Replace("APP" & _,";","")),
Custom3 = Table.FromList(List.Combine(Table.ToRows(Custom2)))
in
Custom3

 

 

Sundar Rajagopalan

View solution in original post

3 REPLIES 3
SundarRaj
Super User
Super User

Hi @BO7 , here's another solution you could look. Thanks!

SundarRaj_0-1745483970090.png

SundarRaj_1-1745484011475.png

Here's the code:
let
Source = Excel.CurrentWorkbook(){[Name="Table1"]}[Content],
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Texts", type text}}),
Number = Table.TransformColumns(#"Changed Type",{}, each List.Count(Text.PositionOf(_,"A",Occurrence.All)) + 1),
ColNumber = List.Max(Number[Texts]),
ColNames = List.Transform({1..ColNumber}, each "Col" & Text.From(_)),
Custom1 = #"Changed Type",
#"Split Column by Delimiter" = Table.SplitColumn(Custom1, "Texts", Splitter.SplitTextByDelimiter("APP", QuoteStyle.Csv), ColNames),
#"Removed Columns" = Table.RemoveColumns(#"Split Column by Delimiter",{"Col1"}),
Custom2 = Table.TransformColumns(#"Removed Columns",{}, each Text.Replace("APP" & _,";","")),
Custom3 = Table.FromList(List.Combine(Table.ToRows(Custom2)))
in
Custom3

 

 

Sundar Rajagopalan

Thank you! I was pulling my hair out trying to figure this one out.

jgeddes
Super User
Super User

You can create a list for each row using Text.Split() and "APP" as the value to split on.
Remove any blank rows from the resulting list and then remove any non-number characters. 
Add "APP" back to the start of each row of the list.
Delete the original column.

Expand the lists into rows.

Example code:

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WcgwIMDQyNjE1MweyLC3MzUxNjIEsM3MLSwNDI6VYHWQlFuaW1kCeEYhtYmhkAeKYmppaGJmYKcXGAgA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Column1 = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Column1", type text}}),
    #"Added Custom" = Table.AddColumn(#"Changed Type", "Custom", each List.Transform(List.RemoveItems(Text.Split([Column1], "APP"), {""}), each "APP" & Text.Select(_, {"1".."9"})), type list),
    #"Removed Columns" = Table.RemoveColumns(#"Added Custom",{"Column1"}),
    #"Expanded Custom" = Table.ExpandListColumn(#"Removed Columns", "Custom")
in
    #"Expanded Custom"

jgeddes_0-1745442053431.png

 

jgeddes_1-1745442068567.png

 





Did I answer your question? Mark my post as a solution!

Proud to be a Super User!





Helpful resources

Announcements
Fabric Data Days is here Carousel

Fabric Data Days 2026

Don't miss out on Data Days, June 15 through August 7. Learn Fabric, Power BI, SQL, AI and more.

May Power BI Update Carousel

Power BI Monthly Update - May 2026

Check out the May 2026 Power BI update to learn about new features.

Power BI DataViz World Championships carousel

Power BI DataViz World Championships - June 2026

A new Power BI DataViz World Championship is coming this June! Don't miss out on submitting your entry.