Applied Data Visualization with R and ggplot2

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ggplot2 is an open source package for the R programming language that employs the concept of the Grammar of Graphics to help users build complex and aesthetic visualizations.

This is a 1-day course that will equip you with the skills and knowledge required to apply ggplot2 to specific problems and obtain results quickly. You’ll learn the basic concepts of ggplot2 and the Grammar of Graphics through illustrative examples. You will then generate solutions for problems of incremental complexity as the course goes on. Lastly, you will master advanced plotting techniques that will enable you to add more detail and develop the quality of your graphics.

This is a fast-paced, practical course aimed at experienced developers and system architects. As you progress, you’ll find helpful tips and tricks, as well as useful self-assessment material, exercises, and activities to help you benchmark your progress and reinforce what you’ve learned. The activities have been devised to simulate real-world conditions in order to equip you with the necessary skills to accelerate software deployment while still maintaining security, portability, and affordability.

This course is meant for professionals who work with data and use R as part of their workflow. It also targets students who want to extend and enhance their data analysis skills by adding complex, informative, and professional visualizations. This course will not cover the basics of R commands and objects, so students are expected to have some familiarity with the R language.

If you are interested in gaining a good grasp of ggplot2 in a systematic and practical way by working through real-world scenarios, then this course is for you.

This course will provide you with knowledge of the following:

Illustrating continuous integration and continuous delivery concepts
Setting up the R environment, R Studio, and explaining the structure of ggplot2
Distinguishing between types of variables and best practices for visualizing them
Changing the defaults of visualizations to reveal more information about the data
Implementing the "Grammar of Graphics" in ggplot2, such as scales, coordinate systems, position adjustments, and faceting
Creating complex visualizations and investigating the correlations between variables
Designing and implementing a visualization from scratch

LESSON 1- BASIC PLOTTING IN GGPLOT2