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  3. Introduction to Statistics in Python

Exercise

Relationships between variables

In this chapter, you'll be working with a dataset world_happiness containing results from the 2019 World Happiness Report. The report scores various countries based on how happy people in that country are. It also ranks each country on various societal aspects such as social support, freedom, corruption, and others. The dataset also includes the GDP per capita and life expectancy for each country.

In this exercise, you'll examine the relationship between a country's life expectancy (life_exp) and happiness score (happiness_score) both visually and quantitatively. seaborn as sns, matplotlib.pyplot as plt, and pandas as pd are loaded and world_happiness is available.

Instructions 1/4

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  • Create a scatterplot of happiness_score vs. life_exp (without a trendline) using seaborn.
  • Show the plot.