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Applied Data Visualization with R and ggplot2 [Instructor Edition]

Applied Data Visualization with R and ggplot2 [Instructor Edition]

By : Dr. Tania Moulik
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Applied Data Visualization with R and ggplot2 [Instructor Edition]

Applied Data Visualization with R and ggplot2 [Instructor Edition]

By: Dr. Tania Moulik

Overview of this book

This course introduces you to the world of data visualization by talking about the basic features of ggplot2. Learn all about setting up the R environment and then begin exploring the features of ggplot2. Grammar of graphics and geometric objects are the fundamentals you must know before you dive deep into the plotting techniques. Read and discover what are layers, scales, coordinates, and themes, and explore how you can use them to transform your data into aesthetical graphs. Learn the simple plots, such as histograms, and then some advanced plots, such as superimposing plots and density plots. Learn to plot trends, correlations, and statistical summaries. After reading this course, your data visualizations will wow clients.
Table of Contents (6 chapters)
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Basic Plotting in ggplot2

This chapter will cover basic concepts of ggplot2 and the Grammar of Graphics, using illustrative examples. You will generate solutions to problems of increasing complexity throughout the book. Lastly, you will master advanced plotting techniques, which will enable you to add more detail and increase the quality of your graphics.

In order to use ggplot2, you will first need to install R and RStudio. R is a programming language that is widely used for advanced modeling, statistical computing, and graphic production. R is considered the base package, while RStudio is a graphical interface (or IDE) that is based on R. Visualization is a very important aspect of data analysis, and it has its own underlying grammar (similar to the English language). There are many aspects of data analysis, and visualization is one of them. So, before we go further, let's discuss visualization in more detail.

By the end of this chapter, you will be able to:

  • Distinguish between different kinds of variables
  • Create simple plots and geometric objects, using qplot and ggplot2
  • Determine the most appropriate visualization by comparing variables
  • Utilize Grammar of Graphics concepts to improve plots in ggplot2
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Applied Data Visualization with R and ggplot2 [Instructor Edition]
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