Missing data intuition
Here's an intuition check! When handling missing data, you have three options: keep, replace, and remove.
You've been looking at numeric columns, but what about a non-numeric column? How would you handle missing data in the column person_home_ownership
which has string values?
The object ownership_table
has already been created to show how many records occur in each unique value of person_home_ownership
with the following code:
# Count the number of records for each unique value
cr_loan['person_home_ownership'].value_counts()
ownership_table
and cr_loan
are already loaded in the workspace.
This exercise is part of the course
Credit Risk Modeling in Python
Hands-on interactive exercise
Turn theory into action with one of our interactive exercises
