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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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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

Creating single-variable plots

Single-variable plots are mostly used to visualize the distribution of a variable. Using these kinds of graphics, it is possible to understand more of your dataset, evaluate where there is data concentration, data symmetry, or skewness, and visualize how the data behaves in comparison to the mean and detect patterns.

Dataset

The dataset chosen for this chapter comes from the datasets library; it is named mtcars. It is a widely known toy dataset for you to play with to learn coding and Data Science. For our goal here, which is understanding how to create each graphic, it presents itself as one of the best options because it is about a common subject (cars) and it has many variable numerical and categorical types for us to create different visualizations. If you want to know more about the variables, feel free to write help("mtcars") on your console in R. To load the dataset into an R session, just use the code that follows:

data(&quot...
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