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)