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
Project: Joining the urban population
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