# Creates new attributes and compute the correlation matrixhousing['rooms_per_household'] = housing['total_rooms']/housing['households']housing['bedrooms_per_room'] = housing['total_bedrooms']/housing['total_rooms']housing['population_per_household'] = housing['population']/housing['households']corr_matrix = housing.corr()print(corr_matrix['median_house_value'].sort_values(ascending=False))median_house_value 1.000000
median_income 0.687160
rooms_per_household 0.146285
total_rooms 0.135097
housing_median_age 0.114110
households 0.064506
total_bedrooms 0.047689
population_per_household -0.021985
population -0.026920
longitude -0.047432
latitude -0.142724
bedrooms_per_room -0.259984
Name: median_house_value, dtype: float64