How sparse is my data?
Most datasets contain missing values, often represented as NaN (Not a Number). If you are working with Pandas you can easily check how many missing values exist in each column.
Let's find out how many of the developers taking the survey chose to enter their age (found in the Age column of so_survey_df) and their gender (Gender column of so_survey_df).
Deze oefening maakt deel uit van de cursus
Feature Engineering for Machine Learning in Python
Praktische interactieve oefening
Probeer deze oefening eens door deze voorbeeldcode in te vullen.
# Subset the DataFrame
sub_df = ____
# Print the number of non-missing values
print(sub_df.____)