Items related to Automated Data Collection with R: A Practical Guide...
Synopsis
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.
"synopsis" may belong to another edition of this title.
About the Author
Simon Munzert is the author of Automated Data Collection with R: A Practical Guide to Web Scraping and Text Mining, published by Wiley.
Christian Rubba is the author of Automated Data Collection with R: A Practical Guide to Web Scraping and Text Mining, published by Wiley.
Peter Meißner is the author of Automated Data Collection with R: A Practical Guide to Web Scraping and Text Mining, published by Wiley.
Dominic Nyhuis is the author of Automated Data Collection with R: A Practical Guide to Web Scraping and Text Mining, published by Wiley.
"About this title" may belong to another edition of this title.
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Automated Data Collection with R (Hardcover)
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John Wiley & Sons Inc, New York, 2014
ISBN 10: 111883481X
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Hardcover. Condition: new. Hardcover. 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). Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781118834817
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