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 2
Grammar of Graphics and Visual Components
Content Locked
Section 3
Scales and Coordinates
Scales map values in a data space to values in an aesthetic space, whether the value is a color, shape, or size. Scales are used to change legends or axes, providing inverse mapping and enabling us to understand the data from the graphic itself. In the previous video, when we plotted the histogram, ggplot applied a default scale, in order to describe the x- and y-axes. Let us understand the following concepts: - Scales - Use Scales to Analyze a Dataset - Types of Coordinates - Understand Polar Coordinates