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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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Toc

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

Creating word clouds in RStudio

A word cloud is very useful when we want to visualize the content of a text quickly. The more times a word is repeated within the text, the bigger it will be displayed on the word cloud, giving us a sense of what we can expect if we read the text. It is kind of a summary.

Once we have a dataset with words and their frequencies, plotting a word cloud takes just one line of code. The function is the same name as the library, wordcloud2(), and it takes as inputs the dataset, a color palette or a vector of colors, and the size of the words:

# Generating WordCloud
wordcloud2(data=word_freq, color="random-dark", size=1)

The result after running this code is printed as follows.

Figure 12.10 – Word cloud generated with the content from Chapter 10 of this book

Just to refresh our minds, Chapter 10 is about an introduction to the ggplot2 library. It brings the concepts of the grammar of graphics and introduces...

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