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Data Wrangling with R

You're reading from   Data Wrangling with R Load, explore, transform and visualize data for modeling with tidyverse libraries

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Product type Paperback
Published in Feb 2023
Publisher Packt
ISBN-13 9781803235400
Length 384 pages
Edition 1st Edition
Languages
Concepts
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Author (1):
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Gustavo Santos Gustavo Santos
Author Profile Icon Gustavo Santos
Gustavo Santos
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Table of Contents (21) Chapters Close

Preface 1. Part 1: Load and Explore Data
2. Chapter 1: Fundamentals of Data Wrangling FREE CHAPTER 3. Chapter 2: Loading and Exploring Datasets 4. Chapter 3: Basic Data Visualization 5. Part 2: Data Wrangling
6. Chapter 4: Working with Strings 7. Chapter 5: Working with Numbers 8. Chapter 6: Working with Date and Time Objects 9. Chapter 7: Transformations with Base R 10. Chapter 8: Transformations with Tidyverse Libraries 11. Chapter 9: Exploratory Data Analysis 12. Part 3: Data Visualization
13. Chapter 10: Introduction to ggplot2 14. Chapter 11: Enhanced Visualizations with ggplot2 15. Chapter 12: Other Data Visualization Options 16. Part 4: Modeling
17. Chapter 13: Building a Model with R 18. Chapter 14: Build an Application with Shiny in R 19. Conclusion 20. Other Books You May Enjoy

Introduction to ggplot2

In Part 3 of this book, beginning now, the subject is data visualization. For the next three chapters, we will learn about ggplot2, enhanced visualizations such as interactive plots, maps, and 3D graphics, as well as how to plot graphics in Microsoft Power BI using R code.

In this chapter, more specifically, we will concentrate on learning the basics of ggplot2, a core library from the tidyverse package, to build powerful and highly customizable visualizations. The library was created by Hadley Wickham in 2015 and has evolved a lot since then, with 18 new releases. It is built on the premises of the grammar of graphics, a concept that states that a graphic must be created in layers, also called grammatical elements for this purpose.

In summary, this chapter will outline the following:

  • The grammar of graphics
  • The basic syntax of ggplot2
  • Plot types
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