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

R Data Science Quick Reference: A Pocket Guide to APIs, Libraries, and Packages Front Cover
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2019-09-30
246 pages

Book Description

In this handy, practical book you will cover each concept concisely, with many illustrative examples. You'll be introduced to several R data science packages, with examples of how to use each of them.

In this book, you’ll learn about the following APIs and packages that deal specifically with data science applications: readr, dibble, forecasts, lubridate, stringr, tidyr, magnittr, dplyr, purrr, ggplot2, modelr, and more.

After using this handy quick reference guide, you'll have the , APIs, and insights to write data science-based applications in the R .  You'll also be able to carry out data .

What You Will Learn

  • 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 with R for data science, , 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 experience with R in general is recommended.

Book Details

  • Title: R Data Science Quick Reference: A Pocket Guide to APIs, Libraries, and Packages
  • Author:
  • Length: 246 pages
  • Edition: 1st ed.
  • Language: English
  • Publisher:
  • Publication Date: 2019-09-30
  • ISBN-10: 1484248937
  • ISBN-13: 9781484248935
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