Exercise

What can't correlation measure?

While the correlation coefficient is a convenient way to quantify the strength of a relationship between two variables, it's far from perfect. In this exercise, you'll explore one of the caveats of the correlation coefficient by examining the relationship between a country's GDP per capita (gdp_per_cap) and happiness score.

pandas as pd, matplotlib.pyplot as plt, and seaborn as sns are imported, and world_happiness is loaded.

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Create a seaborn scatterplot (without a trendline) showing the relationship between gdp_per_cap (on the x-axis) and life_exp (on the y-axis).
Show the plot