Data Science in R

Preface

Our aim in writing this book is two-fold. We want students to be able to read about the computational reasoning and details of real-world data analyses. We also want to provide, hopefully, interesting and useful material to help statistics faculty teach the important aspects of a new, expanded curriculum to a new type of statistics and data science student. This enhanced curriculum includes exposure to data analytic and computational reasoning, rather than focusing primarily on statistical methodology. Our goal is not to provide short, tidy answers and solutions, but to explore the problems, possible solutions, and the thought process involved in addressing data science projects.

Goals of the Book

There are many different languages people ...