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Title details for R 4 Data Science Quick Reference by Thomas Mailund - Available

R 4 Data Science Quick Reference

by Thomas Mailund
ebook
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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..  
What You'll Learn
  • 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
    • Who This Book Is For
    Programmers new to R's data science, data mining, and analytics packages.  Some prior coding experience with R in general is recommended.  

    Formats

    • OverDrive Read
    • EPUB ebook

    subjects

    Languages

    • English