R is a powerful tool for performing statistical analyses and drawing publication-quality graphics. This tool is ideal for organizing and graphing huge datasets. It also provides various techniques for plotting a variety of simple and more complex statistical graphs.

R Graph Essentials is a beginner’s course to learning about R graphics. This course will provide you with both a solid grounding in the so-called “base” graphics package in R as well as introducing elements from more sophisticated packages, such as lattice and ggplot2.

R Graph Essentials explains the basic functionality of R graphs in detail in order to familiarize you with how they work. The course starts with very basic R plot functions, first helping you to gain control of this function, then moving on towards various advanced plotting functions.

Different types of graphs are used to visualize different types of variables. The R Graph Essentials video course classifies these graphs and teaches them separately. This course is a compilation of tips and tricks related to the most efficient ways of drawing various types of graphs using basic R plotting functionality. Additionally, bivariate plots, time series, and high dimensional plots are also covered in this course. By the end of this course, you will be in a position to create your own ETL processes within a short amount of time.

The course offers a practical and interactive way to learn about R graphics, equipping you with the tools to draw informative statistical plots to effectively visualize your data.

Style and Approach

Packt video courses are designed to cover the breadth of the topic in short, hands-on, task-based videos. Each course is divided into short manageable sections, so you can watch the whole thing or jump to the bit you need. The focus is on practical instructions and screencasts showing you how to get the job done.

Follow carefully organized sequences of instructions that outline how to leverage the power of R in simple and easy to understand examples, helping you to improve your ability to create graphs. It offers a non-programmer’s approach to learn how to create R graphics. The level of complexity is suitable even for a non-statistician.