Applied Data Visualization with R and ggplot2

Applied Data Visualization  with R and ggplot2 introduces you to the world of data visualization by  taking you through the basic features of ggplot2. To start with, you’ll  learn how to set up the R environment, followed by getting insights into  the grammar of graphics and geometric objects before you explore the  plotting techniques.

You’ll discover what layers, scales, coordinates, and themes are, and  study how you can use them to transform your data into aesthetical  graphs. Once you’ve grasped the basics, you’ll move on to studying  simple plots such as histograms and advanced plots such as superimposing  and density plots. You’ll also get to grips with plotting trends,  correlations, and statistical summaries.

By the end of this course, you’ll have created data visualizations that will impress your clients. 

About the Author

Chris DallaVilla is the  founder and CEO of VALID., an independent marketing consulting practice  specializing in providing data–driven solutions that help chief  marketing officers and their teams strengthen their planning and  execution, and drive results. Chris has expertise in digital and social  media marketing, as well as certifications in Agile, Google AdWords, and  Google Analytics. He studied computer science at Harvard University,  design technology at Massachusetts College of Art and Design, and  advertising and marketing communications at the Questrom School of  Business at Boston University.