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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

Product type Paperback

Published in Feb 2023

Publisher Packt

ISBN-13 9781803235400

Length 384 pages

Edition 1st Edition

Languages

R

Tools

Power BI

Concepts

Data Mining

Author (1):

Gustavo Santos

View More author details

Table of Contents (21) Chapters

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

Exercises

What are a vector, a matrix, and a data frame?
What is the difference between matrices and data frames?
What is data slicing and why is it important for data wrangling?
List the four functions of the apply family.
List three descriptive statistics functions.
How can you display a statistics summary in R?
What does it mean when a correlation is close to 1 and when it is close to 0?

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Authors (1)

Gustavo Santos

Gustavo Santos

Gustavo R Santos has worked in the Technology Industry for 13 years, improving processes, and analyzing datasets and creating dashboards. Since 2020, he has been working as a Data Scientist in the retail industry, wrangling, analyzing, visualizing and modeling data with the most modern tools like R, Python and Databricks. Gustavo also gives lectures from time to time at an online school about Data Science concepts. He has a background in Marketing, is certified as Data Scientist by the Data Science Academy Brazil and pursues his specialist MBA in Data Science at the University of São Paulo

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