My goal with this course is for you to learn ggplot2 from the ground up. ggplot2 has a huge community and endless resources, but here's why I think this course might be for you:
Creating data visualizations in ggplot2 is tough for beginners. You need to know about data types, geometric objects, aesthetics, aesthetic mappings, dozens of functions, faceting, scales, themes and much more. You'll find many resources on the internet that teach you this content. Finding these resources takes time, and often they don't teach the fundamentals you need to know to become an independent data visualization specialist in ggplot2. I want to get you up to speed with ggplot2. While creating this course I not only created the videos, but also a comprehensive package of educational materials. Here is what you will get from this course:
More than 12 hours of videos
8 brand-new cheat sheets on the most fundamental concepts of ggplot2 which you won't find anywhere else on the internet
3 educational web apps on three of the most fundamentals problems:findings aesthetics of geometric objects, finding scales, and designing your theme
A repository with all the R-code for the course
In this course we will start with the most important concept of ggplot2, aesthetic mappings. We will then learn how to create the most basic plots. Once you are able to create these plots, we will discuss common pitfalls that beginners to ggplot2 often run into. In the next modules, we will learn how to customize aesthetic mappings with scales, how to create multiple plots by faceting, how to calculate summary statistics, and how to change the theme of your plots. Finally, we will give you some tips and tricks that everyone learning ggplot2 should know. Along the way, we will also create four best practice visualizations that cover all of the fundamental concepts we learn in this course.
I am confident that you won't find similar material anywhere else on the internet and that you will truly understand ggplot2 from the ground up if you take this course.
Disclaimer:We will cover version 3.3.4 of ggplot2.