Working with missing data in a DataFrame in Python with two practice questions

Link to my previous video on how to locate missing data in a DataFrame: https://youtu.be/LtzOV_7HQmY Link to the code in this vide: https://github.com/SalehGoodarzian/Data-Science-in-Python/tree/85682d7ef83b695244c669e7caeec7cd7ebe6b85/Project%2014 Solution to practice questions in this video: Question 1: m = df['Mathematics'].isna() hw1 = df.loc[m] print(hw1) print(hw1.mean(numeric_only=True, axis=1)) Question 2: hw2 = df['Arts'].mean(numeric_only=True) print(hw2)