Visualising survey data with ggplot2

Estimated time: 0 minutes

Overview

Questions

• What are the 3 main components of a ggplot?
• How do I create a scatterplot, boxplot, and a bar graph to visualise my data?
• How can I create separate plots at once based on a variable of my data?
• How do I customise my plots to add axes labels and a title?
• How do I save my plots in png format?

Objectives

• Gain an understanding of how to create a plot using the ggplot2 package
• Create a scatterplot, boxplot, and bar graph
• Create separate plots at once based on a variable in the data
• Give your plot a title and axes labels
• Save your plot

Key Points

• A ggplot has 3 main components: data, aesthetics, and geom
• A ggplot may be customised by adding layers of elements
• Use geom_point() to create a scatterplot, geom_boxplot() for a boxplot, and geom_bar() for bar graphs
• Use facet_wrap(~variable) to create separate plots simultaneously based on the unique values of a variable
• Give your plot a title with ggplot('title here') and label your axes with ylab() and xlab()
• Save your plot with ggsave()