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Using facets to explore missingness

Because geom_miss_point() is a ggplot geom, you can use it with ggplot2 features like faceting.

This means we can rapidly explore the missingness and stay within the familiar bounds of ggplot2.

Cet exercice fait partie du cours

Dealing With Missing Data in R

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Instructions

  • Explore the missingness in wind and air temperature, and display the missingness using geom_miss_point(). Facet by year to explore this further.
  • Explore the missingness in humidity and air temperature, and display the missingness using geom_miss_point(). Facet by year to explore this further.

Exercice interactif pratique

Essayez cet exercice en complétant cet exemple de code.

# Explore the missingness in wind and air temperature, and display the 
# missingness using `geom_miss_point()`. Facet by year to explore this further.
ggplot(___,
       aes(x = ___,
           y = ___)) + 
  ___() + 
  facet_wrap(~year)

# Explore the missingness in humidity and air temperature, and display the 
# missingness using `geom_miss_point()` Facet by year to explore this further.
ggplot(___,
       aes(___,
           ___)) + 
  ____() + 
  facet_wrap(~year)
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