Forum Discussion
Create new columns based on ther column values
Hi all,
I have a question about creating columns.
I have a csv file with 3 columns:
1) word
2) type
3) number
Example:
name yes /no number
dennis yes 41
james yes 28
dennis no 39
james no 39
I want to clean up the file, and create extra columns
name yes no
dennis 41 39
So basically, dedupe the names, and add the number values in seperate columns.
Thanks,
Dennis
Pivot the yes/no column. It's in Power Query on the Transform tab
Hello Dennis08 ,
To achive this you can use Power Query, Please lod the data in Power Query and follow the below steps.
1. In the Power Query Editor, make sure the columns are named as: word , type and number by double clinking on the cloumn header.
2. Select the type column (which contains "yes" or "no").
3. Go to Transform > Pivot Column
4.In the Values Column dropdown, select number
5. This will create two columns: one for "yes" and one for "no".
If you find this helpful , please mark it as solution which will be helpful for others and Your Kudos/Likes 👍 are much appreciated!
Thank You
Dharmendar S
go to Transform Data to open Power Query Editor.
Select yes/no and click on pivot column > in the popup select values column as number.
If this helped, a Kudos 👍 or Solution mark would be great! 🎉
Cheers,
Kedar
Connect on LinkedIn
3 Replies
- HotChilli
Community Champion
Pivot the yes/no column. It's in Power Query on the Transform tab
- dharmendars007
Memorable Member
Hello Dennis08 ,
To achive this you can use Power Query, Please lod the data in Power Query and follow the below steps.
1. In the Power Query Editor, make sure the columns are named as: word , type and number by double clinking on the cloumn header.
2. Select the type column (which contains "yes" or "no").
3. Go to Transform > Pivot Column
4.In the Values Column dropdown, select number
5. This will create two columns: one for "yes" and one for "no".
If you find this helpful , please mark it as solution which will be helpful for others and Your Kudos/Likes 👍 are much appreciated!
Thank You
Dharmendar S
- Kedar_Pande
Super User
go to Transform Data to open Power Query Editor.
Select yes/no and click on pivot column > in the popup select values column as number.
If this helped, a Kudos 👍 or Solution mark would be great! 🎉
Cheers,
Kedar
Connect on LinkedIn