• Table of Contents
• 1 Tidy Data
• 2 Computing with R
• 3 Basic R Commands
• 4 Files and documents
• 5 Introduction to Data Graphics
• 6 Frames, glyphs, and other components of graphics
• 7 Data Wrangling
• 8 Graphics and Their Grammar
• 9 Collaboration and Reproducibility with Git
• 10 More Data Verbs
• 11 Joining two data frames
• 12 Wide versus Narrow Data
• 13 Ranks
• 14 Graphing Networks
• 15 Statistics
• 16 Data Scraping and Intake Methods
• 17 Using Regular Expressions
• 18 Machine Learning
• Project: Popular names
• Project: Bicycle Sharing
• Project: Bird species
• Project: Statistics of Gene Expression
• Project: Scraping Nuclear Reactors
• Project: Street or Road?
• Project: Joining the urban population
• Appendix: R Programming Style Guide
• Appendix: GitHub-RStudio Configuration

Data Computing (2nd edition)

Daniel Kaplan & Matthew Beckman

2021-01-19