Join us at FabCon Atlanta from March 16 - 20, 2026, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.
Register now!The Power BI Data Visualization World Championships is back! It's time to submit your entry. Live now!
Hello,
I have a CSV file of type:
ID, names, number
For example:
1, Strawberry Mango Banana, 4
2, Kiwi Apple Pear, 3
3, Watermelon Melon Lemon, 3
I want to transform it to get data of type :
1, Banana, 4
1, Strawberry, 4
1, Mango, 4
2, Kiwi, 3
2, Pear, 3
Etc.
How can I transform my table with power BI to get the expected result?
Thank you in advance
Solved! Go to Solution.
@Ade1991 use split feature on transform menu in query editor, here is M code with split
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlTSUVIILilKLE9KLSqqVPBNzEvPV3BKzANCoJSJUqxOtJIRSJF3ZnmmgmNBQU6qQkBqYhFQyBgsaQySDE8sSS3KTc3Jz1PwBZM+qbn5eRA1sQA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [Id = _t, Names = _t, Number = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Id", Int64.Type}, {"Names", type text}, {"Number", Int64.Type}}),
#"Trimmed Text" = Table.TransformColumns(#"Changed Type",{{"Names", Text.Trim, type text}}),
#"Split Column by Delimiter" = Table.ExpandListColumn(Table.TransformColumns(#"Trimmed Text", {{"Names", Splitter.SplitTextByDelimiter(" ", QuoteStyle.Csv), let itemType = (type nullable text) meta [Serialized.Text = true] in type {itemType}}}), "Names"),
#"Changed Type1" = Table.TransformColumnTypes(#"Split Column by Delimiter",{{"Names", type text}})
in
#"Changed Type1"
Subscribe to the @PowerBIHowTo YT channel for an upcoming video on List and Record functions in Power Query!!
Learn Power BI and Fabric - subscribe to our YT channel - Click here: @PowerBIHowTo
If my solution proved useful, I'd be delighted to receive Kudos. When you put effort into asking a question, it's equally thoughtful to acknowledge and give Kudos to the individual who helped you solve the problem. It's a small gesture that shows appreciation and encouragement! ❤
Did I answer your question? Mark my post as a solution. Proud to be a Super User! Appreciate your Kudos 🙂
Feel free to email me with any of your BI needs.
@Ade1991 use split feature on transform menu in query editor, here is M code with split
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlTSUVIILilKLE9KLSqqVPBNzEvPV3BKzANCoJSJUqxOtJIRSJF3ZnmmgmNBQU6qQkBqYhFQyBgsaQySDE8sSS3KTc3Jz1PwBZM+qbn5eRA1sQA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [Id = _t, Names = _t, Number = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Id", Int64.Type}, {"Names", type text}, {"Number", Int64.Type}}),
#"Trimmed Text" = Table.TransformColumns(#"Changed Type",{{"Names", Text.Trim, type text}}),
#"Split Column by Delimiter" = Table.ExpandListColumn(Table.TransformColumns(#"Trimmed Text", {{"Names", Splitter.SplitTextByDelimiter(" ", QuoteStyle.Csv), let itemType = (type nullable text) meta [Serialized.Text = true] in type {itemType}}}), "Names"),
#"Changed Type1" = Table.TransformColumnTypes(#"Split Column by Delimiter",{{"Names", type text}})
in
#"Changed Type1"
Subscribe to the @PowerBIHowTo YT channel for an upcoming video on List and Record functions in Power Query!!
Learn Power BI and Fabric - subscribe to our YT channel - Click here: @PowerBIHowTo
If my solution proved useful, I'd be delighted to receive Kudos. When you put effort into asking a question, it's equally thoughtful to acknowledge and give Kudos to the individual who helped you solve the problem. It's a small gesture that shows appreciation and encouragement! ❤
Did I answer your question? Mark my post as a solution. Proud to be a Super User! Appreciate your Kudos 🙂
Feel free to email me with any of your BI needs.
Hi,
In the Query Editor, double click on each step in the Applied steps section.
| User | Count |
|---|---|
| 53 | |
| 37 | |
| 31 | |
| 21 | |
| 19 |
| User | Count |
|---|---|
| 138 | |
| 102 | |
| 59 | |
| 36 | |
| 35 |