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Use R!

XML and Web Technologies for Data Sciences with R

Authors: Nolan, Deborah, Temple Lang, Duncan

  • Covers important modern Web technologies from the R perspective
  • Describes over 30 R packages developed by the authors
  • Comprehensive examples show how to interface with many applications, Web services and data formats
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eBook 51,16 €
price for Spain (gross)
  • ISBN 978-1-4614-7900-0
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 62,39 €
price for Spain (gross)
  • ISBN 978-1-4614-7899-7
  • Free shipping for individuals worldwide
  • Online orders shipping within 2-3 days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
Rent the ebook  
  • Rental duration: 1 or 6 month
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  • online reader with highlighting and note-making option
  • can be used across all devices
About this 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.  In addition, scientists use HTTP and other network protocols to scrape data from Web pages, access REST and SOAP Web Services, and interact with NoSQL databases and text search applications.  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. 

Along with these general skills, the authors illustrate several applications that are relevant to data scientists, such as reading and writing spreadsheet documents both locally and via Google Docs, creating interactive and dynamic visualizations, displaying spatial-temporal displays with Google Earth, and generating code from descriptions of data structures to read and write data.  These topics demonstrate the rich possibilities and opportunities to do new things with these modern technologies.  The book contains many examples and case-studies that readers can use directly and adapt to their own work.  The authors have focused on the integration of these technologies with the R statistical computing environment.  However, the ideas and skills presented here are more general, and statisticians who use other computing environments will also find them relevant to their work.

Deborah Nolan is Professor of Statistics at University of California, Berkeley.

Duncan Temple Lang is Associate Professor of Statistics at University of California, Davis and has been a member of both the S and R development teams.

About the authors

Deborah Nolan is Professor of Statistics at University of California, Berkeley.

Duncan Temple Lang is Associate Professor of Statistics at University of California, Davis and has been a member of both the S and R development teams.

Table of contents (18 chapters)

  • Getting Started with XML and JSON

    Nolan, Deborah (et al.)

    Pages 5-18

    Preview Buy Chapter 30,19 €
  • An Introduction to XML

    Nolan, Deborah (et al.)

    Pages 19-52

    Preview Buy Chapter 30,19 €
  • Parsing XML Content

    Nolan, Deborah (et al.)

    Pages 53-74

    Preview Buy Chapter 30,19 €
  • XPath, XPointer, and XInclude

    Nolan, Deborah (et al.)

    Pages 75-113

    Preview Buy Chapter 30,19 €
  • Strategies for Extracting Data from HTML and XML Content

    Nolan, Deborah (et al.)

    Pages 115-182

    Preview Buy Chapter 30,19 €

Buy this book

eBook 51,16 €
price for Spain (gross)
  • ISBN 978-1-4614-7900-0
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 62,39 €
price for Spain (gross)
  • ISBN 978-1-4614-7899-7
  • Free shipping for individuals worldwide
  • Online orders shipping within 2-3 days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
XML and Web Technologies for Data Sciences with R
Authors
Series Title
Use R!
Copyright
2014
Publisher
Springer-Verlag New York
Copyright Holder
Springer Science+Business Media New York
Distribution Rights
Distribution rights for India: Researchco Book Centre, New Delhi, India
eBook ISBN
978-1-4614-7900-0
DOI
10.1007/978-1-4614-7900-0
Softcover ISBN
978-1-4614-7899-7
Series ISSN
2197-5736
Edition Number
1
Number of Pages
XXIV, 663
Number of Illustrations and Tables
14 b/w illustrations, 51 illustrations in colour
Topics