Problem: I have a scenario where I have around 50 columns and one ID column( not unique), hence we group by the data on the id column then suppose I have 5 rows for the same id. Now I need to make sure that the rest of all the 50 columns except id col should have similar data across respective columns if in any row a column value is not as per requirement then it needs to be highlighted.
Example:
Id | Name | Country | City | Work |
01 | John | US | NewYork | IT |
01 | John | US | Michigan | IT |
02 | Sam | Australia | Sydney | Radio |
02 | Love | Australia | Sydney | Radio |
Result:
Id | Name | Country | City | Work |
01 | John | US | NewYork | IT |
01 | John | US | Michigan | IT |
02 | Sam | Australia | Sydney | Radio |
02 | Love | Australia | Sydney | Radio |
Note: I know we can use Multi-row but this tool can only be managed for a few columns I need the same thing for more columns at once.
Thanks in Advance.
Solved! Go to Solution.
Hi @Pragya_Shree,
An approach with pivoting and determining the mode (most common) value for each group in each column would work here:
I've attached my workflow for you to download if needed!
Kind regards,
Jonathan
The difficulty in this case comes where you only have two records (so there is no way to easily distinguish the mode), however I would think in your dataset you have a large number of records so this wouldn't be an issue?
@jonathan Thank you so much! it worked perfectly with a large amount of data.