Boxplots and violin plots
This exercise will continue giving you experience making plots using the ggplot2
package. The ggplot2
package has already been loaded for this exercise. You will explore including both a categorical variable sex
with a continuous variable shuckedWeight
from the abalone
dataset to make clustered boxplots using geom_boxplot()
and violin plots using geom_violin()
which are useful to visualize distributions better than boxes. Themes can also be added to change the style of the plot (color, fonts, grid, etc) using ggplot2
functions like theme_bw()
.
The abalone
dataset, dplyr
and ggplot2
packages have been loaded for you.
This exercise is part of the course
R For SAS Users
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Create graphical environment for sex and shuckedWeight
ggplot(data = ___, aes(___, ___))