R 4 Data Science Quick Reference - A Pocket Guide to APIs, Libraries, and Packages (Paperback, 2nd ed.)

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.

General

Imprint:	Apress
Country of origin:	United States
Release date:	November 2022
First published:	2022
Authors:	Thomas Mailund
Dimensions:	254 x 178mm (L x W)
Format:	Paperback
Pages:	232
Edition:	2nd ed.
ISBN-13:	978-1-4842-8779-8
Categories:	Books > Computing & IT > General theory of computing > General Books > Computing & IT > Computer programming > Programming languages > General Books > Computing & IT > Applications of computing > Databases > General Promotions
LSN:	1-4842-8779-7
Barcode:	9781484287798

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