All our Data Science projects include bite-sized activities to test your knowledge and practice in an environment with constant feedback.
All our activities include solutions with explanations on how they work and why we chose them.
Calculate the percentage of missing values.
Drop rows with missing values, and store the new dataframe in data_dropna.
Fill missing values with the mean for age and Salary, and the mode value for UniversityDegree and Sex. Store the result in data_filled.
Based on previous code select the correct sentence.
