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XML and Web Technologies for Data Sciences with R

XML and Web Technologies for Data Sciences with R

Top Research Book in XML and Web Technologies for Data Sciences with R

Author(s) Name:  Nolan, Deborah, Temple Lang, Duncan

About the Book:

   Web technologies are increasingly relevant to scientists working with data, for both accessing data and creating rich dynamic and interactive displays. The XML and JSON data formats are widely used in Web services, regular Web pages and JavaScript code, and visualization formats such as SVG and KML for Google Earth and Google Maps.
   This book provides a practical hands-on introduction to these technologies, including high-level functions the authors have developed for data scientists. It describes strategies and approaches for extracting data from HTML, XML, and JSON formats and how to programmatically access data from the Web.

Table of Contents

  • Getting Started with XML and JSON
  • An Introduction to XML
  • Parsing XML Content
  • XPath, XPointer, and XInclude
  • Strategies for Extracting Data from HTML and XML Content
  • Generating XML
  • JavaScript Object Notation
  • HTTP Requests
  • Scraping Data from HTML Forms
  • REST-based Web Services
  • SimpleWeb Services and Remote Method Calls with XML-RPC
  • Authentication for Web Services via OAuth
  • Meta-Programming with XML Schema
  • ISBN:  9781461478997

    Publisher:  Springer-Verlag New York

    Year of Publication:  2014

    Book Link:  Home Page Url