Book Image

Applied Data Visualization with R and ggplot2

By : Dr. Tania Moulik
Book Image

Applied Data Visualization with R and ggplot2

By: Dr. Tania Moulik

Overview of this book

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 book, you’ll have created data visualizations that will impress your clients.
Table of Contents (10 chapters)

Summary


In this chapter, we learned how to make some specialized graphs that may be needed in some specific scenarios, such as multiple variables, correlated variables, geographically varying data, and data varying with time.

Congratulations! We have completed the book onApplied Data Visualization with R and ggplot2. Continue to explore ggplot2 further, and use your skills to look at similar real-world problems, as covered in the course and in your work, and convert numbers into insightful, meaningful, and powerful visualizations.