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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
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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

Basic Data Visualization

Perhaps I am too bold for saying this, but I don’t think there is a point in wrangling or analyzing data if you are not going to visualize it. As previously mentioned, the human brain is so much better at understanding images than numbers or words. Furthermore, in the era of huge amounts of data, presenting tables would not be the most interesting way to identify or even just visualize patterns.

Data visualization means presenting information in a visual format, such as a graphic, a map, or another visual way of encoding data, such as an infographic, for instance, which is a combination of graphics, text, and other elements that help you to tell a story and transmit a message.

In this chapter, we are going to see basic data visualization using the native plotting capabilities of RStudio. We will start with plots of a single variable, which are the best way to visualize distributions. Included in this group are histograms, boxplots, and density...

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