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I am not sure if this library currently supports this feature but I am looking for a way through which I can build custom validation of one column based on values present in another column.
For Example -
Name, Salary, Department Rob, 5500, Aviation Bob, 1000, Facilities Tom, 6000, IT
In this dataset, I wanted to check if a salary is greater than 5000 when the department is "Aviation", salary greater than 1000 if Department is "Facilities" and so on.
The text was updated successfully, but these errors were encountered:
I am not sure if this library currently supports this feature but I am looking for a way through which I can build custom validation of one column based on values present in another column.
For Example -
Name, Salary, Department
Rob, 5500, Aviation
Bob, 1000, Facilities
Tom, 6000, IT
In this dataset, I wanted to check if a salary is greater than 5000 when the department is "Aviation", salary greater than 1000 if Department is "Facilities" and so on.
The text was updated successfully, but these errors were encountered: