Going from Beginner to Advanced in ggplot2

Learn to create complex data visualizations in ggplot2 from scratch

Created by: Christian Burkhart
Senior Instructional Designer and Data Scientist

What Will I Learn?

• Explain what aesthetic mappings are
• Explain the inheritance of aesthetic mappings
• Create any plot in ggplot2 on your own
• Solve common problems in creating plots in ggplot2
• Dodge bar charts and be able to explain how it can be done
• Explain the aesthetics of geom_point
• Order bar charts
• Use scales to adjust the mapping between aesthetics and variables
• Use facets to create multiple plots at once
• Use summary statistics to do calculations on your data on they fly with ggplot2 (e.g. error bars, means, confidence intervals)
• Make your plot look beautiful with custom themes
• Use annotations to spice up your plots
• Add mathematical notations to your plot
• Combine multiple plots with patchwork
• Adding significance bars to barplots
• Adding regression lines to scatterplots
• Export plots to high quality
• Use various apps from ggplot2tor to work with scales, theme and aesthetics in ggplot2

Requirements

• Basic knowledge of R and R-Studio
• Basic knowledge of the tidyverse package
• Ability to run scripts in R-Studio

Target audience

• Any person who wants to learn ggplot2 from the ground up
• Data scientist interested in learning how to create visualizations in ggplot2 fast and effectively
• Data journalists who want to create print-ready visualizations
• Students interested in creating visualizations for their theses
• Scientists and researchers whose daily bread is to plot data