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.brWith iR 4 Data Science Quick Referencei, 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. All source code used in the book is freely available on GitHub.. brbWhat You'll LearnbulliImplement applicable R 4 programming language specification featuresliliImport data with readrliliWork with categories using forcats, time and dates with lubridate, and strings with stringrliliFormat data using tidyr and then transform that data using magrittr and dplyrliliWrite functions with R for data science, data mining, and analytics-based applicationsliliVisuali