Exercise

Exploring missing data with scatterplots

Missing values in a scatterplot in ggplot2 are removed by default, with a warning.

We can display missing values in a scatterplot, using geom_miss_point() - a special ggplot2 geom that shifts the missing values into the plot, displaying them 10% below the minimum of the variable.

Let's practice using this visualisation with the oceanbuoys dataset.

Instructions

100 XP

Explore the missingness in wind east west (wind_ew) and air temperature, and display the missingness using geom_miss_point().
Explore the missingness in humidity and air temperature, and display the missingness using geom_miss_point().

Take Hint (-30 XP)