Data Computing
Data Computing
An Introduction to Wrangling and Visualization in R
About the Book
Based on a no-prerequisite short course the author developed at Macalester College, Data Computing uses R, a leading software application for statistics and data analysis which is freely available for all widely-used platforms. The book's short chapters and the clarity of notation supported by Hadley Wickham's hugely popular dplyr and ggplot2 packages help the reader to develop skills at a measured pace.
Praise for Data ComputingNo matter what you do, you can use data to do it better. Gaining that superpower requires you to learn some programming tools and some mental tools. This book will teach you both: you'll get the mental building blocks to think about data analysis, and the computational tools to turn those thoughts into code. If you're just learning to swim in the data ocean, Danny's lucid writing and thoughtful approach makes this book a great place to start! --- Hadley Wickham, Chief Scientist, RStudio
The book covers in a systematic way not only the stuff I've picked up in a fragmentary, bit-at-a-time way, but more important for me, stuff I wanted to know, and stuff I needed to know without realizing it. Better yet, Kaplan's book makes it all easily accessible. Just what our profession needs! --- George Cobb, Professor Emeritus of Mathematics and Statistics, Mt. Holyoke College
About the Author
Table of Contents
1. Tidy Data
2. Computing with R
3. R Command Patterns
4. Files and Documents
5. Introduction to Data Graphics
6. Frames, Glyphs, and other Components of Graphics
7. Wrangling and Data Verbs
8. Graphics and their Grammar
9. More Data Verbs
10. Joining Two Tables
11. Wide versus Narrow Data Layouts
12. Ranks and Ordering
13. Networks
14. Collective Properties of Cases
15. Scraping and Cleaning Data
16. Using Regular Expressions
17. Machine Learning
Appendices
- Projects
- Popular Names
- Bird Species
- World Cities
- Stocks and Dividends
- Statistics of Gene Expression
- Bicycle Sharing
- Inspecting Restaurants
- Street or Road
- Scraping Nuclear Reactors
- Solutions to selected exercises
- Readings and Notes
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