Information is what we want …
… but data are what we’ve got.
Data Computing introduces wrangling and visualization, the techniques for turning data into information. Ideal for self-study or as a classroom text, Data Computing shows how to condense and combine data from multiple sources to present them in a way that informs discovery and decision making. An accessible introduction to technical computing for those whose primary interest is with data, Data Computing builds on breakthrough software developments that let even beginners exploit the power of professional-level tools. ISBN 978-0-9839658-4-8
Praise for Data Computing
No 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. — George Cobb, Professor Emeritus of Mathematics and Statistics, Mt. Holyoke College