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! Get ahead of the game and start preparing now! Learn more
I have a dataset that I need to transform in powerbi, but I am unsure of the right commands to get it how I want.
Below is an example of how my data currently looks. However I want to take the row IT Owners and make a separate row for each of the names that holds all the values from the other columns
| IT Owners | Company Code | Manager | Executive Owner | Tags |
| Nick, Coach, Winston | 12 | Schmidt | Jess | Vendor1 |
| Jake, Amy | 11 | Holt | Kevin | Vendor 1, Vendor 2 |
| Michael, Jim, Pam, Dwight | 15 | Jan | David | Vendor 2 |
| Andy, Donna, April | 21 | Leslie | Ron | Vendor 1, Vendor 3 |
I want it to look like this in the end:
| IT Owners | Company Code | Manager | Executive Owner | Tags |
| Nick | 12 | Schmidt | Jess | Vendor1 |
| Coach | 12 | Schmidt | Jess | Vendor1 |
| Winston | 12 | Schmidt | Jess | Vendor1 |
| Jake | 11 | Holt | Kevin | Vendor1, Vendor2 |
| Amy | 11 | Holt | Kevin | Vendor1, Vendor2 |
| Michael | 15 | Jan | David | Vendor2 |
| Jim | 15 | Jan | David | Vendor2 |
| Pam | 15 | Jan | David | Vendor2 |
| Dwight | 15 | Jan | David | Vendor2 |
| Andy | 21 | Leslie | Ron | Vendor1, Vendor3 |
| Donna | 21 | Leslie | Ron | Vendor1, Vendor3 |
| April | 21 | Leslie | Ron | Vendor1, Vendor3 |
Any help would be appreciated!
Solved! Go to Solution.
Hi @laurahoff97 ,
For this you just need to use the split rows by delimiter and select the option rows on the the advance:
Regards
Miguel Félix
Proud to be a Super User!
Check out my blog: Power BI em PortuguêsUsing split by delimiter and into row seemed to work easier
Hi @laurahoff97 ,
For this you just need to use the split rows by delimiter and select the option rows on the the advance:
Regards
Miguel Félix
Proud to be a Super User!
Check out my blog: Power BI em PortuguêsHi @laurahoff97
The easiest way to achieve that is to create a new table in Power query(reference of your existing table)
Delete all rows except IT owner and Company Code
Split IT Owner by delimiter: ,
Select Company Code and Unpivot other column
Remove Attribute column
You should get something like that:
Then you close and apply you link your new table to the previous one
Once your two tables are linked (via Company Code), you create a table, take IT owner from the new table and other fields from the previous one
this is the code I used in Power Query
let
Source = ITTable,
#"Removed Columns" = Table.RemoveColumns(Source,{"Manager", "Executive Owner", "Tags"}),
#"Split Column by Delimiter" = Table.SplitColumn(#"Removed Columns", "IT Owners", Splitter.SplitTextByDelimiter(",", QuoteStyle.Csv), {"IT Owners.1", "IT Owners.2", "IT Owners.3", "IT Owners.4"}),
#"Changed Type" = Table.TransformColumnTypes(#"Split Column by Delimiter",{{"IT Owners.1", type text}, {"IT Owners.2", type text}, {"IT Owners.3", type text}, {"IT Owners.4", type text}}),
#"Unpivoted Other Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"Company Code"}, "Attribute", "Value"),
#"Removed Columns1" = Table.RemoveColumns(#"Unpivoted Other Columns",{"Attribute"})
in
#"Removed Columns1"
The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now!
| User | Count |
|---|---|
| 38 | |
| 37 | |
| 33 | |
| 32 | |
| 29 |
| User | Count |
|---|---|
| 132 | |
| 88 | |
| 82 | |
| 68 | |
| 64 |