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

Register now to learn Fabric in free live sessions led by the best Microsoft experts. From Apr 16 to May 9, in English and Spanish.

Reply
hanxu95
Regular Visitor

Creat mutiple columns based on a column from another table

Hey guys!

 

I want to create mutiple columns in the first table with headers from the colunmn "tag_name" in table 2 
(like "1940s", "american", "funky", etc.), and then check whether the column "tags" in table 1 contain it. If yes, fill 1, if no, leave it blank. TIs there any way I can fast import the colunmn "tag_name" in table 2 as the column headers in table 1? If not, is there any fast way I can use the words from column "tags" in table 1 to create new columns and check whether "tags" contain it? I know that I can use "conditional column" button under "Add Column" but I can only create one new column at once and I have 115 tags here.

 

Thank you in advanced!

Capture 1.PNGCapture 2.PNG

3 REPLIES 3
v-juanli-msft
Community Support
Community Support

Hi @hanxu95 

Do you want to compare all rows in "tag_name" to the each row in "tag",

If the value of one row in "tag_name" can be found in one row in "tag", get a column which is 1 for this row.

 

Is my understanding correct?

 

Best Regards
Maggie

 

Community Support Team _ Maggie Li
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

Hi Maggie,

 

Do you have any idea how I can do it?

Hi @v-juanli-msft ,

 

Thank you so much for your reply! That's correct!

Helpful resources

Announcements
Microsoft Fabric Learn Together

Microsoft Fabric Learn Together

Covering the world! 9:00-10:30 AM Sydney, 4:00-5:30 PM CET (Paris/Berlin), 7:00-8:30 PM Mexico City

PBI_APRIL_CAROUSEL1

Power BI Monthly Update - April 2024

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

April Fabric Community Update

Fabric Community Update - April 2024

Find out what's new and trending in the Fabric Community.

Top Solution Authors
Top Kudoed Authors