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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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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

Technical requirements

The dataset chosen for this project is from American Community Survey 2010-2012 Public Use Microdata Series and can be found in the raw form at this link: https://tinyurl.com/4yx2dhpe. The data is originally from the US census, but FiveThirtyEight pulled it and did some cleanup, creating the final dataset to be used in this chapter. The links to the raw data can also be found in the previously provided URL address. The data is about college majors and there is a lot of information about earnings, employment ratio, and share of enrolled people by sex, thus containing many numbers that we can use to understand how the majors and areas are performing in the job market and in terms of unemployment rates.

All the code can be found in the book’s GitHub repository: https://github.com/PacktPublishing/Data-Wrangling-with-R/tree/main/Part2/Chapter9.

Load the following libraries for this chapter:

library(tidyverse)
library(skimr)
library(statsr)
library...
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