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Below is the sample data
| ID | DOB | Ethnicity | |
| 1 | 01/01/2018 | British or Mixed | aa.aol.com |
| 1 | 01/01/2018 | Other Mixed | |
| 2 | 02/05/2015 | British or Mixed British | |
| 2 | 02/05/2015 | Mixed British | xx.bt.com |
| 2 | 02/05/2015 | British or Mixed British | xx.bt.com |
| 3 | 01/06/2012 | Other Mixed |
ww.bt.com |
| 3 | 01/06/2012 | ww.bt.com | |
| 4 | 01/01/2011 | White and Asian |
|
| 4 | 01/01/2011 | White and Asian |
|
I want the output as
| ID | DOB | Ethnicity | |
| 1 | 01/01/2018 | British or Mixed | aa.aol.com |
| 2 | 02/05/2015 | Mixed British | xx.bt.com |
| 3 | 01/06/2012 | Other Mixed |
ww.bt.com |
| 4 | 01/01/2011 | White and Asian |
I have a table with duplicates and once I remove the duplicates I want to make sure records that have email addr is not deleted. any advise is greatly appreciated.
Solved! Go to Solution.
Hi @uc ,
Multi-select (Ctrl+click) [ID] and [DOB].
On the Home tab, go to Group By.
In the aggregate columns section at the bottom, create two aggregate columns as follows:
New column name: Ethnicity
Operation: Max
Column: Ethnicity
New column name: Email
Operation: Max
Column: Email
This gives me the following output:
Pete
Proud to be a Datanaut!
Hi @uc ,
Multi-select (Ctrl+click) [ID] and [DOB].
On the Home tab, go to Group By.
In the aggregate columns section at the bottom, create two aggregate columns as follows:
New column name: Ethnicity
Operation: Max
Column: Ethnicity
New column name: Email
Operation: Max
Column: Email
This gives me the following output:
Pete
Proud to be a Datanaut!
It works!! Thanks a lot 🙂
Share feedback directly with Fabric product managers, participate in targeted research studies and influence the Fabric roadmap.
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