R for the Rest of Us
A Statistics-Free Introduction
Format:Paperback
Publisher:No Starch Press,US
Published:25th Jun '24
Should be back in stock very soon
For statisticians, R is the go-to programming language for complex numerical analysis - but it comes in handy for a lot more than that. In R Without Statistics you'll discover ways that R can be used by the rest of us! Packed with real-world examples and easy-to-follow coding instructions, it introduces R's application in a wide range of non-statistical tasks, from data visualization and interpreting survey results, to map plotting and automating workloads. Each chapter features an actual R programmer who achieved something novel using the language, and then covers the case study and code samples demonstrating exactly how they did it. Whether it's creating visualizations for Scientific American, applying a consistent theme to BBC graphics, organizing professional government reports, or effectively mapping the spread of COVID-19, R offers a unique way to transform your work.
“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
ISBN: 9781718503328
Dimensions: unknown
Weight: unknown
232 pages