Book Image

Applied Data Visualization with R and ggplot2

By : Chris DallaVilla
Book Image

Applied Data Visualization with R and ggplot2

By: Chris DallaVilla

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 course, you'll have created data visualizations that will impress your clients. The github link for this title is here https://github.com/TrainingByPackt/Applied-Data-Visualization-with-R-and-ggplot2-eLearning
Table of Contents (3 chapters)
Chapter 1
Basic Plotting in ggplot2
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Section 5
Making Your First Plot
The ggplot2 function qplot is similar to the basic plot () function from the R package. It can be used to build and combine a range of useful graphs; however, it does not have the same flexibility as the ggplot() function. Let us now create our first plot with qplot and R.