In this handy, quick reference book you'll be introduced to several R data science packages, with examples of how to use each of them.  All concepts will be covered concisely, with many illustrative examples using the following APIs: readr, dibble, forecasts, lubridate, stringr, tidyr, magnittr, dplyr, purrr, ggplot2, modelr, and more.The book also includes some of the newest features found in the new R 4 programming language such as just-in-time compilation (JIT) of functions and loops to byte-code; compact internal representation of integer sequences; and a new serialization format to support compact internal representations.  With , you'll have the code, APIs, and insights to write data science-based applications in the R programming language.  You'll also be able to carry out data analysis.  Free source code will be available on this book's GitHub page as well.   Programmers new to R's data science, data mining, and analytics packages.  Some prior coding experience with R in general is recommended.  weiterlesen