Pearson correlation
You know how to identify different relationships based on scatter plots, but let's take a more practical approach now and dive a bit deeper into one relationship. We'll stick to the same version of the weather
dataset that we just used.
You'll analyze a seaborn
pair plot of some features before drilling down for further analysis and coming to a conclusion about the correlation. This process should be something that you feel quite comfortable with.
This exercise is part of the course
Practicing Statistics Interview Questions in Python
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Generate the pair plot for the weather dataset
sns.pairplot(____)
plt.show()