eBook - ePub

R 4 Data Science Quick Reference

Name: R 4 Data Science Quick Reference
ISBN: 9781484287804

A Pocket Guide to APIs, Libraries, and Packages

Thomas Mailund,

English
ePUB (mobile friendly)
Available on iOS & Android

eBook - ePub

R 4 Data Science Quick Reference

A Pocket Guide to APIs, Libraries, and Packages

Thomas Mailund,

About this book

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.

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Yes, you can access R 4 Data Science Quick Reference by Thomas Mailund in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over one million books available in our catalogue for you to explore.