Data Visualization and Exploration with R

Data Visualization and Exploration with R Front Cover
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2018-09-23
246 pages

Book Description

Data and Exploration with R: A practical guide to using R, RStudio, and Tidyverse for data , exploration, and data science applications
Today, data science is an indispensable tool for any organization, allowing for the analysis and optimization of decisions and strategy. R has become the preferred software for data science, thanks to its open source nature, simplicity, applicability to , and the abundance of libraries for any type of .

This book will allow the student to learn, in detail, the fundamentals of the R language and additionally master some of the most efficient libraries for data visualization in chart, , and map formats. The reader will learn the language and applications through examples and practice. No prior programming skills are required.

We begin with the installation and configuration of the R environment through RStudio. As you progress through the exercises in this hands-on book you’ll become thoroughly acquainted with R’s features and the popular tidyverse package. With this book, you will learn about the basic concepts of R programming, work efficiently with graphs, charts, and maps, and create publication-ready documents using real world data. The detailed step-by-step instructions will enable you to get a clean set of data, produce engaging visualizations, and create reports for the results.

What you will learn from this book

  • Introduction to the R programming language and R Studio
  • Using the tidyverse package for data loading, transformation, and visualization
  • Get a tour of the most important in R
  • Learn techniques for importing data, manipulating data, performing analysis, and producing useful data visualization
  • Data visualization techniques with ggplot2
  • Geographic visualization and maps with ggmap
  • Turning your analyses into high quality documents, reports, and presentations with R Markdown.
  • Hands on case studies designed to replicate real world projects and reinforce the knowledge you learn in the book

Table of Contents

CHAPTER 1: Introduction to R and RStudio
CHAPTER 2: The Basics of Data Exploration and Visualization with R
CHAPTER 3: Loading Data into R
CHAPTER 4: Transforming Data
CHAPTER 5: Creating Tidy Data
CHAPTER 6: Basic Data Exploration Techniques in R
CHAPTER 7: Basic Data Visualization Techniques
CHAPTER 8: Visualizing Geographic Data with ggmap
CHAPTER 9: R Markdown
CHAPTER 10: Case Study – Wildfire Activity in the Western United States
CHAPTER 11: Case Study – Single Family Residential Home and Rental

Book Details

  • Title: Data Visualization and Exploration with R
  • Author:
  • Length: 246 pages
  • Edition: 1
  • Language: English
  • Publication Date: 2018-09-23
  • ISBN-10: B07HM7LC41