Data visualization basics
Visualization is one of the most important tools for data science.
It is also a great way to start learning R; when you visualize data, you get an immediate payoff that will keep you motivated as you learn. After all, learning a new language can be hard!
This tutorial will teach you how to visualize data with R’s most popular visualization package, ggplot2.
The tutorial focuses on three basic skills:
- How to create graphs with a reusable template
- How to add variables to a graph with aesthetics
- How to make different “types” of graphs with geoms
In this tutorial, we will use the core tidyverse packages, including ggplot2. I’ve already loaded the packages for you, so let’s begin!
These examples are excerpted from R for Data Science by Hadley Wickham and Garrett Grolemund, published by O’Reilly Media, Inc., 2016, ISBN: 9781491910399. You can purchase the book at shop.oreilly.com.