ComenzarEmpieza gratis

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.

Este ejercicio forma parte del curso

Dealing With Missing Data in R

Ver curso

Instrucciones del ejercicio

  • 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.

Ejercicio interactivo práctico

Prueba este ejercicio y completa el código de muestra.

# 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)
Editar y ejecutar código