R has become one of the most popular programming languages in an era where data science is increasingly prevalent. As R and data science have become more mainstream, there is a growing number of R users without dedicated training in statistical computing or data science, and thus a growing demand for books and resources to bridge the gap between applied users who may have only an introductory background in statistics or programming and advanced and sophisticated data analytics. This book focuses on how to use advanced programming in R to speed up everyday tasks in data analysis and data science. This book is also unique in its coverage of how to set up R in the cloud and generate dynamic reports for analyses that are regularly repeated, such as monthly analysis of company sales or quarterly analysis of student grades, enrollment, and dropout numbers in schools with projections for future enrollment rates. Chapters 1 through 6 focus on more advanced programming techniques than the Apress offering of Beginning R . Chapters 7 – 10 develop powerful data management measures including the exciting and (comparatively) new data.table . From here, we delve into the modern (and slightly edgy) world of cloud computing with R. From the ground up, we walk you through getting R started on an Amazon cloud in chapters 11 – 14 . Finally, Chapter 15 provides you with solid techniques in dynamic documents and reports.
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