Author: Thomas Mailund Full Title: R Data Science Quick Reference: A Pocket Guide to APIs, Libraries, and Packages Publisher: Apress; 1st ed. edition (September 30, 2019) Year: 2019 ISBN-13: 9781484248942 (978-1-4842-4894-2), 9781484248935 (978-1-4842-4893-5) ISBN-10: 1484248945, 1484248937 Pages: 246 Language: English Genre: Educational: Programming Languages File type: EPUB (True), PDF (True) Quality: 10/10 Price: 29.95 € 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 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. 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 functions with R for data science, data mining, and analytics-based applications ✓ Visualize data with ggplot2 and fit data to models using modelr Features: ✓ The first quick reference of its kind dealing with data science using R ✓ Covers the specific APIs and packages that let you build R-based data science applications ✓ Also covers how to use these packages to do data analysis using R 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. ------------- Our members see more. Join us!
