Exploring a multivariate normal distribution
In this exercise, you'll be working with a DataFrame called house_price_size
, which contains two columns called price
and size
, representing the price and size of houses, respectively.
You'll first explore the data to gain some understanding of the distribution and relationship of the two variables price
and size
, and then you will obtain a covariance matrix for these two variables.
The following packages have been imported for you: seaborn
as sns
, pandas
as pd
, and matplotlib.pyplot
as plt
.
This exercise is part of the course
Monte Carlo Simulations in Python
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Generate a pairplot of the data
____
plt.show()