Business Intelligence with R: From Acquiring Data to Pattern Exploration

The growth of R has been phenomenal over the past several years, reaching out past academia and research labs into the daily activities of business and industry. More and more line-level analysts are supplementing their SQL or Excel skills with R, and more and more businesses are hiring analysts with R skills to bridge the increasing gap between business needs and on-hand analytic resources.
While there are many books that explore the use of R in applied statistics and data science, nearly all of them are set as a series of case studies or are written predominantly for academic audiences as textbooks. There are also many R cookbooks, but they tend to cover the breadth of R’s capabilities and options. This book aims to provide a cookbook of R recipes that are specifically of use in the daily workflow of data scientists and analysts in business and industry.
Business Intelligence with R is a practical, hands-on overview of many of the major BI/analytic tasks that can be accomplished with R. It is not meant to be exhaustive—there is always more than one way to accomplish a given task in R, so this book aims to provide the simplest and/or most robust approaches to meet daily work flow needs. It can serve as the go to desk reference for the professional analyst who needs to get things done in R.
From setting up a project under version control to creating an interactive dashboard of a data product, this book will provide you with the pieces to put it all together.