R for the Rest of Us
By David Keyes
By David Keyes
By David Keyes
By David Keyes
Category: Science & Technology | Leadership
Category: Science & Technology | Leadership
-
$59.99
Jun 25, 2024 | ISBN 9781718503328
-
Jun 25, 2024 | ISBN 9781718503335
YOU MAY ALSO LIKE
The Waste-Free World
Quanta and Fields
Measurements-Based Radar Signature Modeling
The Cognitive Life of Maps
The Japanese Art of Living Seasonally
Brave New Words
Smart Management
Hedgehogs, Killing, and Kindness
Everest 24
Praise
“Long overdue in the R ecosystem.”
—Oscar Baruffa, Big Book of R
“A great resource for anyone wishing to learn R without the intimidating jargon that normally comes with software books.”
—Cara Thompson, Data Visualization Consultant at Building Stories with Data
“David has captured some of the most compelling ways to use R for data visualization and maps, automation, reporting, and building websites.”
—Tom Mock, Product Manager at Posit
“An easy-to-read source of exciting case studies, relevant code snippets, and helpful explanations—no matter if you’re an experienced programmer or not.”
—Cédric Scherer, data visualization and information graphics designer
“Demonstrates how succinctly R can be used to rapidly solve non-statistics problems.”
—Bob Rudis , author of Data-Driven Security: Analysis, Visualization and Dashboards and VP of Data Science, Security Research & Detection Engineering at GreyNoise Intelligence
“David Keyes delivers a comprehensive and approachable guide to R programming in R for the Rest of Us. His expertise shines through in every chapter, making complex concepts understandable and applicable. This book is a fantastic and invaluable resource for anyone working with or aspiring to work with data, regardless of their background. Highly recommended.”
—Gabriela de Queiroz, Director of AI, Microsoft; Founder of R-Ladies and AI Inclusive
Table Of Contents
Introduction
Part 1: Visualizations
Chapter 1: An R Programming Crash Course
Chapter 2: Principles of Data Visualization
Chapter 3: Making Your Own ggplot Theme
Chapter 4: Creating Maps
Chapter 5: Crafting High-Quality Tables
Part 2: Reports, Presentations, and Websites
Chapter 6: Writing Reports in R Markdown
Chapter 7: Using Parameters to Automate Reports
Chapter 8: Making Slideshows with xarigan
Chapter 9: Building Websites with distill
Chapter 10: Reproducible Reporting with Quarto
Part 3: Automation and Collaboration
Chapter 11: Accessing Online Data
Chapter 12: Creating Your Own R Packages
21 Books You’ve Been Meaning to Read
Just for joining you’ll get personalized recommendations on your dashboard daily and features only for members.
Find Out More Join Now Sign In