ggplot is a powerful data visualization package in R that allows users to create stunning and informative graphs. It is based on the Grammar of Graphics, a theory that describes how to build complex visualizations by combining simple building blocks. With ggplot, users can create a wide range of graphs, including scatter plots, line charts, bar charts, histograms, and more.
With ggplot you can easily layer different elements on top of each other. For example, users can add multiple data sets, different types of plots, and various annotations to create a rich and informative visualization. Additionally, ggplot provides a wide range of customization options, allowing users to adjust the colors, fonts, and other visual elements to match their needs.
This cheat sheet provides an overview of the most commonly used functions and arguments in ggplot. For more detailed information, please refer to the ggplot documentation.
Data Manipulation
Function
Description
ggplot(data, aes(x, y))
Create a new ggplot object with specified data and aesthetics