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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

What is tidy data

To tidy something means to arrange it, to put it in order. Consequently, tidy data means that our data has a specific order and should follow a set of rules to be considered ready to be worked.

A dataset can be arranged in different ways. For those that, like me, worked for many years with Microsoft Excel, at first sight, a tidy dataset may seem odd, as there will be plenty of repeated cells. Many datasets I worked with in MS Excel had the same measurement split among many columns. A classic example of that is the monthly reports that bring the first columns as the descriptive part of the data (for example, product, profit, and loss), and the values refering to them are shown in one column each month.

Figure 8.2 – Example of dataset not in Tidy format

The table from Figure 8.2 is comfortable to look at but not useful for an algorithm or a programming language. If you try to determine what is the best month for sales, it will require...

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