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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

Understanding the project

When starting a project, we need a purpose – that is, a goal we want to reach at the end. After all, knowing the problem is part of the solution. Like Lewis Carrol wrote in his book Alice’s Adventures in Wonderland, the Bunny says to Alice that if she does not know where she wants to go, any path will lead her there.

So, let’s begin by understanding the project, or where we want to go.

The dataset

The input data for this project is the Spambase Data Set (https://tinyurl.com/23xwdcah), which can be found in the UCI datasets repository. See the citation information in the Further reading section at the end of this chapter for more.

It contains 4,601 observations and 57 explanatory variables. Out of those, 48 features are floating numbers representing the percentage value, from 0 to 100, of specific words associated with spam and their percentage present in the message. There are six other variables with special characters such...

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