R 4 Data Science Quick Reference: A Pocket Guide to APIs, Libraries, and Packages

© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2022

T. MailundR 4 Data Science Quick Referencehttps://doi.org/10.1007/978-1-4842-8780-4_14

14. Conclusions

Thomas Mailund¹  

(1)

Aarhus, Denmark

 

R, extended with the Tidyverse , is a powerful language for data science. There is strong support for each step along a data analysis pipeline. After reading this book, you should have a good grasp of how the Tidyverse packages work and how you use them. The book did not cover which data science and machine learning model to use on particular data, but only how they could fit into pipelines. Covering actual data analysis and the methods to use—and packages supporting them—is beyond the scope of this book. Each statistical ...