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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

Practicing

Before starting this practice, we should understand that this exercise is good for us to know the possibilities of working with datetime objects. However, there are some functions and libraries that we still did not fully cover, so you might see new functions in this section. Don’t worry. We will cover all of this in this book, and you can always come back to this chapter later to review the more challenging code.

Let’s practice the use of datetime variables using a dataset from FiveThirtyEight, about classic rock. The dataset has observations of songs played in many radio stations in one week of June 2014, which we can use to gain some insights about that period in time.

The variables in this dataset are as follows:

  • SONG RAW: Song title

Song Clean: Song title after cleaning up the name, removing not unmeaningful words such as live

ARTIST RAW: Artist name

ARTIST CLEAN: Artist name after removal of nonmeaningful elements and correcting...

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