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
Content Locked
Section 6
Geometric Objects
The geometric objects in ggplot2 are visual structures that are used to visualize data. They can be lines, bars, points, and so on. Geometric objects are constructed from datasets. Before we construct some geometric objects, let's examine some datasets to understand the different kinds of variables. Here are the topics that we will cover now: - Geometric Objects - Analyzing Different Datasets - Histograms - Examples of Unimodal and Bimodal Distribution - Creating a Histogram Using qplot and ggplot