Book Image

Learning R Programming

By : Kun Ren
Book Image

Learning R Programming

By: Kun Ren

Overview of this book

R is a high-level functional language and one of the must-know tools for data science and statistics. Powerful but complex, R can be challenging for beginners and those unfamiliar with its unique behaviors. Learning R Programming is the solution - an easy and practical way to learn R and develop a broad and consistent understanding of the language. Through hands-on examples you'll discover powerful R tools, and R best practices that will give you a deeper understanding of working with data. You'll get to grips with R's data structures and data processing techniques, as well as the most popular R packages to boost your productivity from the offset. Start with the basics of R, then dive deep into the programming techniques and paradigms to make your R code excel. Advance quickly to a deeper understanding of R's behavior as you learn common tasks including data analysis, databases, web scraping, high performance computing, and writing documents. By the end of the book, you'll be a confident R programmer adept at solving problems with the right techniques.
Table of Contents (21 chapters)
Learning R Programming
Credits
About the Author
About the Reviewer
www.PacktPub.com
Preface

Summary


In this chapter, we learned how web pages are written in HTML and stylized by CSS. CSS selectors can be used to match HTML nodes so that their contents can be extracted. Well-written HTML documents can also be queried by XPath Expression, which has more features and is more flexible. Then we learned how to use the element inspector in modern web browsers to figure out a restrictive selector to match the HTML nodes of interest so that the needed data can be extracted from web pages.

In this next chapter, we will learn a series of techniques that boost your productivity, from R Markdown documents, diagrams, to interactive shiny apps. These tools make it much easier to create quality, reproducible, and interactive documents, which are very nice ways to present data, ideas, and prototypes.