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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.

\n Praise for Data Computing \n

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. Just what our profession needs! --- George Cobb, Professor Emeritus of Mathematics and Statistics, Mt. Holyoke College

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