R 4 Data Science Quick Reference, 2nd Edition

R 4 Data Science Quick Reference: A Pocket Guide to APIs, Libraries, and Packages, 2nd Edition

eBook Details:

  • Paperback: 241 pages
  • Publisher: WOW! eBook; 2nd edition (October 29, 2022)
  • Language: English
  • ISBN-10: 1484287797
  • ISBN-13: 978-1484287798

eBook Description:

R 4 Data Science Quick Reference: A Pocket Guide to APIs, Libraries, and Packages, 2nd Edition

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.

  • Implement applicable R 4 programming language specification features
  • Import data with readr
  • Work with categories using forcats, time and dates with lubridate, and strings with stringr
  • Format data using tidyr and then transform that data using magrittr and dplyr
  • Write functions with R for data science, data mining, and analytics-based applications
  • Visualize data with ggplot2 and fit data to models using modelr

With R 4 Data Science Quick Reference, 2nd Edition, 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.

Car Rubber Wiper Repairer

DOWNLOAD

Leave a Reply

Your email address will not be published. Required fields are marked *