Mastering data.table in R: Programming Techniques for Data Science (Chapman & Hall/CRC The R Series)

Mastering data.table in R provides a comprehensive discussion of R programming with the data.table package.Widely regarded for its breadth of applications and computational efficiency, data.table provides an excellent set of tools for data science investigations.This textbook introduces the core programming syntax of data.table, discusses advanced data.table techniques, and reinforces learning with a wide range of data science applications.Along the way, readers will learn many lessons related to data exploration, processing, analysis, computer programming, and machine learning. Key Features:Introduction to the core methods of data.table programming, such as extracting information, counting records, summarizing data, sorting tables, and grouped computationsDiscussion of advanced methods that facilitate scalable processing and specialized computations, such as simultaneous calculations, indexed record selections, reshaping data, and rolling joinsExamination of links between data.table a