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WHO obesity per country

According to the World Health Organization (WHO), worldwide obesity has nearly tripled since 1975. You're interested in the severity of this global health issue per country and whether males and females are affected differently. You'll use the WHO's obesity data (obesity_df) to investigate this issue. The data holds the percentage of females, males, and both sexes combined that are considered obese (BMI > 30) per country.

You want to create a scatterplot where, per nation, you can see the obesity data colored differently for females and males. This implies that sex should become a variable with its own column.

The ggplot2 package has been pre-loaded for you.

Cet exercice fait partie du cours

Reshaping Data with tidyr

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Exercice interactif pratique

Essayez cet exercice en complétant cet exemple de code.

obesity_df %>% 
  # Pivot the male and female columns
  pivot_longer(___)
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