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.
This exercise is part of the course
Dealing With Missing Data in R
Exercise 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.
Hands-on interactive exercise
Have a go at this exercise by completing this sample 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)