Automated Data Collection with R (eBook)

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  • 141,154 Words
  • 480 Pages

A hands on guide to web scraping and text mining for both beginners and experienced users of R

  • Introduces fundamental concepts of the main architecture of the web and databases and covers HTTP, HTML, XML, JSON, SQL.
  • Provides basic techniques to query web documents and data sets (XPath and regular expressions).
  • An extensive set of exercises are presented to guide the reader through each technique.
  • Explores both supervised and unsupervised techniques as well as advanced techniques such as data scraping and text management.
  • Case studies are featured throughout along with examples for each technique presented.
  • R code and solutions to exercises featured in the book are provided on a supporting website.

A hands on guide to web scraping and text mining for both beginners and experienced users of R

  • Introduces fundamental concepts of the main architecture of the web and databases and covers HTTP, HTML, XML, JSON, SQL.
  • Provides basic techniques to query web documents and data sets (XPath and regular expressions).
  • An extensive set of exercises are presented to guide the reader through each technique.
  • Explores both supervised and unsupervised techniques as well as advanced techniques such as data scraping and text management.
  • Case studies are featured throughout along with examples for each technique presented.
  • R code and solutions to exercises featured in the book are provided on a supporting website.


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  • Released:
  • Categories: Computers & Internet
  • Language: English
  • Publisher: Wiley
  • ISBN-10:
  • ISBN-13: 9781118834800

Automated Data Collection with R

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by Simon Munzert, Christian Rubba, peter meißner, Dominic Nyhuis

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