Book Image

Modern R Programming Cookbook

By : Jaynal Abedin
Book Image

Modern R Programming Cookbook

By: Jaynal Abedin

Overview of this book

R is a powerful tool for statistics, graphics, and statistical programming. It is used by tens of thousands of people daily to perform serious statistical analyses. It is a free, open source system whose implementation is the collective accomplishment of many intelligent, hard-working people. There are more than 2,000 available add-ons, and R is a serious rival to all commercial statistical packages. The objective of this book is to show how to work with different programming aspects of R. The emerging R developers and data science could have very good programming knowledge but might have limited understanding about R syntax and semantics. Our book will be a platform develop practical solution out of real world problem in scalable fashion and with very good understanding. You will work with various versions of R libraries that are essential for scalable data science solutions. You will learn to work with Input / Output issues when working with relatively larger dataset. At the end of this book readers will also learn how to work with databases from within R and also what and how meta programming helps in developing applications.
Table of Contents (10 chapters)

Extracting text data from an HTML page

You have seen an example of reading the HTML source code as a text vector in the Extracting unstructured text data from a plain web page recipe in this chapter. In this recipe, further processing is not straightforward because the output object contains plain text as well as HTML code tags. It is a time-consuming task to clean up the HTML tags from plain text.

In this recipe, you will read the same web page from the following link:

However, this time, you will use a different strategy so that you can play with HTML tags.

Getting ready

To implement this recipe, you need to use a customized library, particularly, the rvest library...