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Nolan, Deborah; Temple Lang, Duncan - XML and Web Technologies for Data Sciences with R - 9781461478997 - V9781461478997
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XML and Web Technologies for Data Sciences with R

€ 133.37
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Description for XML and Web Technologies for Data Sciences with R Paperback. XML and Web Technologies for Data Sciences with R Series: Use R!. Num Pages: 663 pages, 14 black & white illustrations, 51 colour illustrations, 50 black & white tables, biograp. BIC Classification: UFM. Category: (P) Professional & Vocational. Dimension: 254 x 182 x 34. Weight in Grams: 1388.

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 ... Read more

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.

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Product Details

Format
Paperback
Publication date
2013
Publisher
Springer-Verlag New York Inc. United States
Number of pages
800
Condition
New
Series
Use R!
Number of Pages
663
Place of Publication
New York, NY, United States
ISBN
9781461478997
SKU
V9781461478997
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-3

About Nolan, Deborah; Temple Lang, Duncan
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.

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