Preface; Why Should You Learn R Too?; Who Should Read This Book? What Does This Book Hope to Achieve?; What Is in This Book? How Can You Use It?; What Is Unique About This Book?; Acknowledgments; About the Authors; CHAPTER 1 • Making Preparations: Software Installation and Project Setup; 1.1 Introduction; 1.2 How to Download and Install R for Windows; 1.3 How to Download and Install R for Mac; 1.4 Downloading and Installing RStudio; 1.5 Setting Up a Project in RStudio; 1.6 Creating Folders Under a Project; 1.7 Summary; 1.8 References; CHAPTER 2 • Writing Your Essay Using R Markdown: Something for Everyone; 2.1 Introduction; 2.2 The Pros of Using R Markdown; 2.3 How to Create an R Markdown File; 2.4 How to Write and Format Text in R Markdown; 2.5 A Simple Example of an R Markdown Document; 2.6 Other Useful Formatting Tricks; 2.7 How

to Use R Markdown for a Writing Assignment: A Bare-Bones Example; 2.8 How to Revise and Improve Your Bare-Bones Essay; 2.9 For More Ambitious Readers; 2.10 Exercise: Turning Knowledge Into Results; 2.11 Summary; 2.12 References; CHAPTER 3 • Creating Data and Graphs in Your Essays; 3.1 Introduction; 3.2 Bar Plot I: Graphing the Winners of a Hot Dog Eating Contest; 3.3 Bar Plot II: Graphing Winning Lottery Numbers in Texas Pick-3; 3.4 Pie Chart: Graphing the Composition of Daily Plays Among Top 5 Songs on Spotify; 3.5 Histogram: Graphing the Distribution of LSAT Scores in a Review Class; 3.6 Scatter Plot: Graphing the Relationship Between Two Variables— Gas Mileages in the City and on the Highway; 3.7 Time Series Plot: Graphing the Changing Pattern of YouTube Video Views; 3.8 Useful Tips: Polishing and Exporting Graphs; 3.9 Summary; 3.10 References; CHAPTER 4 •

Preparing Your Data; 4.1 Introduction; 4.2 Writing and Running a Program in R; 4.3 Creating Variables and Forming a Dataset; 4.4 Manipulating Data Using the dplyr Package; 4.5 Chaining Different Data Manipulation Operations: pipe (%>%); 4.6 Missing Values in R: NA; 4.7 Summary; 4.8 References; CHAPTER 5 • Accessing Datasets; 5.1 Introduction; 5.2 Setting Up an RStudio Project; 5.3 Downloading a Dataset; 5.4 Installing R Packages for Data Importing; 5.5 Importing a Downloaded Dataset in RStudio; 5.6 Using R Data Packages: A Simple Example With gapminder; 5.7 Using R Data Packages: A More Advanced Example With wbstats; 5.8 Using R Data Packages: Finding More R Data Packages; 5.9 Where Can You Find More Data?; 5.10 Summary; 5.11 References; CHAPTER 6 • Exploratory Data Analysis: Three Exercises; 6.1 Introduction; 6.2 Exercise 1:

Reporting Results of the 2016 Presidential Primary in King County, Washington; 6.3 Exercise 2: Human Use of Natural Resources: Consumption and Biocapacity; 6.4 Exercise 3: Exploring the Impact of GDP per Capita on Life Expectancy; 6.5 Summary; 6.6 References; CHAPTER 7 • Writing Your Research Paper Using R: Analyzing the Effect of Economic Development on Life Expectancy;

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