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.
This exercise is part of the course
Introduction to Statistics in Python
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Create a scatterplot of happiness_score vs. life_exp and show
____
# Show plot
____