Requirements: .ePUB, .PDF, .MOBI reader, 10 MB
Overview: 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. With R 4 Data Science Quick Reference, 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.
Genre: Non-Fiction > Tech & Devices
Download Instructions:
https://ouo.io/vLLty6
https://ouo.io/BxR3bT6.
