Automatede data collection with R : A practical guide to web scraping and text mining / Simon Munzert, Department of Politics and Public Administration, University of Konstanz, Germany, Christian Rubba, Department of Political Science, University of Zurich and National Center of Competence in Research Switzerland, Peter Meibner, Department of Politics and Public Administration, University of Konstanz, Dominic Nyhuis, Department of Political Science, University of Mannheim, Germany.

By:

Munzert, Simon

Contributor(s):

Chichester, United Kingdom : Wiley, 2015Description: xxii, 452 pages, 8 unnumbered pages of plates ; 25 cmContent type:

text

Media type:

unmediated

Carrier type:

volume

ISBN:

978111883481 (hardback)

Subject(s):

DDC classification:

006.312 .M971 2015

LOC classification:

QA76.9.D343 .M865 2015

Summary: "Automated Data Collection with R: A Practical Guide to Web Scraping and Text Mining provides a hands-on guide to web scraping and text mining for both beginners and experienced users, featuring examples throughout that explain each of the techniques presented. Fundamental concepts of the main architecture of the Web and databases are discussed along with coverage of HTTP, HTML, XML, JSON, and SQL." --Provided by publisher.

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Holdings
Item type	Current library	Call number	Status	Date due	Barcode
Print Materials	Main Library General Circulation	006.312 .M971 2015 (Browse shelf(Opens below))	Available		0117619

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Previous	006.312 .D232 2017 Data mining /	006.312 .Ig24 2018 An introduction to text mining :	006.312 .L783 2016 Computational and statistical methods for analysing big data with applications /	006.312 .M971 2015 Automatede data collection with R :	006.312 .Sh558 2016 Data mining for business analytics :	006.31201422 .An545 2015 Statistics for big data for dummies /	006.31201422 .F919 2015 Improving the user experience through practical data analytics :	Next

Includes bibliographical references (pages 435-441) and indexes.

"Automated Data Collection with R: A Practical Guide to Web Scraping and Text Mining provides a hands-on guide to web scraping and text mining for both beginners and experienced users, featuring examples throughout that explain each of the techniques presented. Fundamental concepts of the main architecture of the Web and databases are discussed along with coverage of HTTP, HTML, XML, JSON, and SQL." --Provided by publisher.

Adult

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