Download Automated Data Collection with R: A Practical Guide to Web by Simon Munzert, Christian Rubba, Dominic Nyhuis, Peter Meiner PDF

By Simon Munzert, Christian Rubba, Dominic Nyhuis, Peter Meiner

A arms on consultant to net scraping and textual content mining for either rookies and skilled clients of R Introduces primary techniques of the most structure of the net and databases and covers HTTP, HTML, XML, JSON, SQL.

Provides easy options to question internet records and information units (XPath and standard expressions). an intensive set of routines are awarded to steer the reader via each one method.

Explores either supervised and unsupervised concepts in addition to complex recommendations similar to info scraping and textual content administration. Case stories are featured all through in addition to examples for every strategy offered. R code and strategies to routines featured within the publication are supplied on a helping site.

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Additional resources for Automated Data Collection with R: A Practical Guide to Web Scraping and Text Mining

Example text

Regarding the transparency of the data generation, web data do not differ much from other secondary sources. Consider Wikipedia as a popular example. It has often been debated whether it is legitimate to quote the online encyclopedia for scientific and journalistic purposes. The same concerns are equally valid if one cares to use data from Wikipedia tables or texts for analysis. It has been shown that Wikipedia’s accuracy varies. While some studies find that Wikipedia is comparable to established encyclopedias (Chesney 2006; Giles 2005; Reavley et al.

Difficulties arise when data are stored in more complex structures than HTML tables, when web pages are dynamic or when information has to be retrieved from plain text. There are some costs involved in automated data collection with R, which essentially means that you have to gain basic knowledge of a set of web and web-related technologies. However, in our introduction to these fundamental tools we stick to the necessary basics to perform web scraping and text mining and leave out the less relevant details where possible.

Below you find a list of various DTDs. dtd"> Spaces and line breaks Spaces and line breaks in HTML source code do not translate directly into spaces and line breaks in the browser presentation. While line breaks are ignored altogether, any number of consecutive spaces are presented as a single space. html from the book’s materials. 3 Tags and attributes HTML has plenty of legal tags and attributes, and it would go far beyond the scope of this book to talk about each and every one. Instead, we will focus on a subset of tags that are of special interest in the context of web data collection.

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