Making plots in R can be difficult, but it doesn't have to be. R's ggplot2 package makes it easy to make beautiful, high quality plots with only a couple lines of code. This course will get you well on your way to visualization proficiency.
Making high quality plots that display exactly what you want can be difficult. In this course, Visualizing Data in ggplot 2: R Data Playbook, you will gain the ability to build quality plots and customize them to fit your needs. First, you will learn the foundations of the ggplot syntax. Next, you will discover how to add multiple variables and select the plot type. Finally, you will explore how to customize and make the plot fit with the style you are looking for. When you are finished with this course, you will have the skills and knowledge of data visualization with R and ggplot needed to build presentation worthy plots for work or school.
Course Overview (Music playing) Hi everyone, my name is Chase DeHan, and welcome to my course, Visualizing Data with ggplot 2: R Data Playbook. I'm currently the lead data scientist at Tesorio, and before I entered the private sector, I was an assistant professor of finance and economics at the University of South Carolina Upstate. Ggplot really is one of the best reasons to use R. There are so many neat things you can do with ggplot, and by the end of this course, you'll be able to impress your coworkers or fellow students with how fast and easily you can generate beautiful and powerful plots. In this course, we will cover the foundational building blocks of ggplot. The syntax is a bit different from R, and it does take some getting used to, but it's built for power and flexibility and becomes second nature with just a little bit of practice. Then we're going to go into extending a basic plot to include multiple variables. One of the neatest features of ggplot is being able to plot 1, 2, and even 3 or more variables on the same plot. Then, we'll go into using statistics transformations, and, like most R users, when we're plotting we are often trying to show calculated stats, and we can do many of the calculations within ggplot itself. Then we'll talk about customizing to look a certain way. So, ggplot has a lot of built-in functionality to easily change the colors, shapes, titles, and the general look. We'll go through many of these elements so you can make plots ready for presentation. By the end of the course, you will develop the foundation of ggplot usage, along with plenty of practice in generating high quality plots. I hope you'll join me as we learn the ins and outs of visualization with R's ggplot.