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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

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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()
Edit and Run Code