9781461478997 - xml and web technologies for data sciences with r (use r!) von nolan, deborah; temple lang, duncan (8 Ergebnisse)

- Softcover
Anbieter: World of Books (was SecondSale), Montgomery, IL, USAWorld of Books (was SecondSale)
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Zustand: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.

Sprache: Englisch
Verlag: New York, Springer. 2014
Serie: Use R!, Buch 40 von 68. Buch 40 von 68 - Use R!
- Softcover
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XXIV, 663 p. Softcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Use R! Sprache: Englisch.

- Softcover
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Zustand: Fair. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. Clean from markings. In fair condition, suitable as a study copy. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1500grams, ISBN:9781461478997.

- Softcover
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Paperback. Zustand: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Sprache: Englisch
Verlag: Springer New York 2013
Serie: Use R!, Buch 40 von 68. Buch 40 von 68 - Use R!
- Softcover
Anbieter: Buchpark, Trebbin, , DeutschlandBuchpark
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Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 663 | Sprache: Englisch | Produktart: Bücher | 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 an…d 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 GoogleDocs, 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.

Sprache: Englisch
Verlag: Springer New York 2013
Serie: Use R!, Buch 40 von 68. Buch 40 von 68 - Use R!
- Softcover
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Taschenbuch. Zustand: Neu. XML and Web Technologies for Data Sciences with R | Deborah Nolan (u. a.) | Taschenbuch | xxiv | Englisch | 2013 | Springer New York | EAN 9781461478997 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: p…reigu.

Sprache: Englisch
Verlag: Springer-Verlag New York Inc 2013
Serie: Use R!, Buch 40 von 68. Buch 40 von 68 - Use R!
- Softcover
Anbieter: Revaluation Books, Exeter, , Vereinigtes KönigreichRevaluation Books
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Paperback. Zustand: Brand New. 2014 edition. 685 pages. 9.90x7.00x1.50 inches. In Stock.

Sprache: Englisch
Verlag: Springer New York 2013
Serie: Use R!, Buch 40 von 68. Buch 40 von 68 - Use R!
- Softcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 co…de, 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.