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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 Gustavo R Santos
Profile icon Gustavo R Santos

Table of Contents (21) Chapters

Preface Part 1: Load and Explore Data
Chapter 1: Fundamentals of Data Wrangling Chapter 2: Loading and Exploring Datasets Chapter 3: Basic Data Visualization Part 2: Data Wrangling
Chapter 4: Working with Strings Chapter 5: Working with Numbers Chapter 6: Working with Date and Time Objects Chapter 7: Transformations with Base R Chapter 8: Transformations with Tidyverse Libraries Chapter 9: Exploratory Data Analysis Part 3: Data Visualization
Chapter 10: Introduction to ggplot2 Chapter 11: Enhanced Visualizations with ggplot2 Chapter 12: Other Data Visualization Options Part 4: Modeling
Chapter 13: Building a Model with R Chapter 14: Build an Application with Shiny in R Conclusion 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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