R has amazing visualization capabilities in numerous libraries. In this course, you will learn how to create visualizations with maps, correlograms, and 3D scatter plots in the Leaflet, Corrgram, Lattice, and Scatter3d libraries.
There are many options for creating visualizations in R. In this course, Creating Special-purpose Plots: R Playbook, you will gain the ability to create a multitude of different plots you wouldn't typically be exposed to. First, you will learn how to create maps with the Leaflet library. Next, you will discover how to make correlograms with the Corrgram library. Finally, you will explore how to make 3D scatterplots in two different libraries: Lattice and Scatter3d . When you're finished with this course, you will have the skills and knowledge of niche visualizations needed to excel at creating visualizations for any application.
Course Overview Hi everyone. My name is Chase DeHan, and welcome to my course, Creating Special-purpose Plots: R Playbook. I'm currently the manager of data science at Tesorio and hold a PhD in economics from the University of Utah. In this course, we are going to cover some of why R is the most amazing language to know for creating visualizations. There are numerous libraries to create nearly any visualization you could want. Some of the major topics that we will cover include creating interactive maps with a Leaflet package, generating correlograms with a corrgram package, creating 3d scatter plots with 2 packages of lattice and the scatter 3d library. By the end of this course, you'll know how to create some unique plots using four different libraries. Before beginning this course, you should be familiar with the R language and have experience creating basic visualizations. I hope you'll join me on this journey to learn how to create some amazing visualizations with the Creating Special- purpose Plots: R Playbook course, at Pluralsight.