Listwise deletion
The simplest way to deal with missing values in your dataset when they are occurring entirely at random is to remove those rows, also called 'listwise deletion'.
Depending on the use case, you will sometimes want to remove all missing values in your data while other times you may want to only remove a particular column if too many values are missing in that column.
This exercise is part of the course
Feature Engineering for Machine Learning in Python
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Print the number of rows and columns
print(so_survey_df.____)