[{"_1":2,"_64":-5,"_65":-5},"loaderData",{"_3":4,"_33":34,"_62":-5,"_63":-5},"root",{"_5":-5,"_6":-5,"_7":8,"_20":-5,"_21":22,"_23":24,"_27":28},"user","shoppingCartId","shoppingCart",{"_9":10,"_11":12,"_13":14,"_15":16,"_17":18,"_19":12},"count",0,"free",true,"updatedAt","2026-01-04T04:31:13.317Z","paymentGateway","STRIPE","cartItems",[],"loading","toast","locale","en","constants",{"_25":26},"paypalClientId","AX53Cwz8jR6rVVzzZiZNWWXl0dGagi-GZrjG-S3Ua14E5nrKMn7DxDQ730O4R8LusLPp49ALn6aRVaEy","publishers",{"_29":30,"_31":32},"companies",[],"universities",[],"routes/_store+/_readers+/email_author.$slug/route",{"_35":36,"_61":-5},"book",{"_37":38,"_39":40,"_41":42,"_43":44,"_45":46,"_47":48},"id","Z2lkOi8vbGVhbnB1Yi9TdG9yZTo6Qm9va1Byb2R1Y3QvMTkwMjc","title","Business Intelligence with R","state","retired","contactAuthorMethod","email","aboutText","

This is now coming up on 2 years old, and lots has changed in the R ecosystem in those 2 years, so I am dropping the suggested price to free. I don't have any current plans to update it, though if someone wanted to partner with me, I'd love to join forces!

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 already many books that explore the use of R in statistics and data science, many 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 workflow 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.

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