The Tidyverse is one of the best reasons to be an R user - the power and flexibility of this library is incredibly intuitive and makes it really great to be working in R. In this course, Tidyverse: R Playbook, you will gain the ability to quickly wrangle data into the desired format and then be able to make some amazing plots. All of this is done with the same syntax and gives great power to accomplish your data goals using R. First, you will learn how to wrangle data easily with the dplyr package. Next, you will discover the proper way to structure a dataframe and manipulate any dataframe into that structure using the tidyr package. Finally, you will explore why R is the best language for data visualization by diving into the ggplot2 package. When you’re finished with this course, you will have the skills and knowledge of the Tidyverse and the ability to take messy data and turn it into beautiful plots!
Course Overview (Music) Hey there. My name is Chase DeHan, and welcome to my course, Tidyverse: The R Playbook. I'm currently the lead data scientist at Tesorio, and I hold a PhD in Economics from the University of Utah. I've been using R for quite a long time, and the tidyverse is hands down one of the best things about using R. The functionality makes for quick work of complicated tasks. When I do work in other languages, I'm often thinking, this would be so easy with the tidyverse. This course covers three of the most powerful packages in the tidyverse. Some of the major topics that we'll cover include dplyr, which provides an easy work of wrangling data, and this is one of the things that initially got me hooked on R. Then, we'll cover tidyr, which is the framework for restructuring data. And finally, we'll go over the best visualization platform in any language, ggplot2. By the end of this course, you'll have the foundational knowledge to get your data into an appropriate form for whatever task you're working on. Plus, you'll be able to start building some amazing plots in ggplot2. Before beginning this course, you should be familiar with the basics of the R programming language. I hope you'll join me on this journey with Tidyverse: The R Playbook, here at Pluralsight.