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Data Wrangling with R

You're reading from Data Wrangling with R

Product type Book

Published in Feb 2023

Publisher Packt

ISBN-13 9781803235400

Pages 384 pages

Edition 1st Edition

Languages

Concepts

Author (1):

Gustavo R Santos

Table of Contents (21) Chapters

Preface

1. Part 1: Load and Explore Data

2. Chapter 1: Fundamentals of Data Wrangling

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

Who this book is for

This book is written for professionals from academia and industry looking to acquire or enhance their capabilities of wrangling data using the R language with RStudio. You are expected to be familiar with basic programming concepts in R, such as types of variables and how to create them, loops, and functions. This book provides a complete flow for data wrangling, starting with loading the dataset in the IDE until it is ready for visualization and modeling. A background in science, technology, engineering, and math (STEM) areas or in the data science field are not required but will help you to internalize knowledge and get the most from the content.

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Authors (1)

Gustavo R 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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