Data Visualization with ggplot2 in R

Intro

Data visualization is a powerful tool for uncovering insights and communicating findings effectively. In R, ggplot2, part of the tidyverse, is one of the most popular and versatile packages for creating elegant and customizable visualizations. Built on the Grammar of Graphics, ggplot2 enables users to build complex plots layer by layer, providing flexibility to create everything from simple charts to intricate, publication-quality graphics. This introduction will guide you through the basics of ggplot2, helping you transform raw data into meaningful visual representations.

Basics

Aes

Common aesthetic values.

Geoms

Use a geom function to represent data points, use the geom’s aesthetic properties to represent variables. Each function returns a layer.

Stats

An alternative way to build a layer.

Scales

Override defaults with scales package.

Coordinate Systems

Position Adjustments

Position adjustments determine how to arrange geoms that would otherwise occupy the same space.

Themes

Faceting

Facets divide a plot into subplots based on the values of one or more discrete variables.

Labels and Legends

Zooming

Data Visualization, R, ggplot2 — Aug 27, 2023