Explore variation by missingness: box plots
Previous exercises use nabular
data along with density plots to explore the variation in a variable by the missingness of another.
We are going to use the oceanbuoys
dataset from naniar
, using box plots instead of facets or others to explore different layers of missingness.
Este ejercicio forma parte del curso
Dealing With Missing Data in R
Instrucciones del ejercicio
- Explore the distribution of wind east west (
wind_ew
) for the missingness of air temperature usinggeom_boxplot()
- Build upon this visualization by faceting by the missingness of humidity (
humidity_NA
).
Ejercicio interactivo práctico
Prueba este ejercicio y completa el código de muestra.
# Explore the distribution of wind east west (`wind_ew`) for
# the missingness of air temperature using `geom_boxplot()`
oceanbuoys %>%
bind_shadow() %>%
ggplot(aes(x = air_temp_c___,
y = ____)) +
geom_____()
# Build upon this visualization by faceting by the missingness of humidity (`humidity_NA`).
oceanbuoys %>%
___() %>%
ggplot(aes(x = ___,
y = ___)) +
geom_____() +
facet_wrap(~___)