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

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

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

Provides uncomplicated options to question internet records and knowledge units (XPath and common expressions). an in depth set of workouts are awarded to steer the reader via every one procedure.

Explores either supervised and unsupervised options in addition to complex innovations similar to information scraping and textual content administration. Case stories are featured all through besides examples for every method provided. R code and recommendations to routines featured within the booklet are supplied on a helping site.

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

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Former Las Vegas Mayor Oscar Goodman can wax lyrical about the old Caesars Palace: “They had a restaurant called the Bacchanal where you sat in this beautiful ornate room with Filipina waitresses who would give you a back rub and peel grapes and toss them down your gullet. ” Hollywood has long portrayed Caesars Palace as a den of excitement and adventure. Robert Redford, dressed in a purple cowboy suit dotted with flashing lights, slowly rides a horse across the casino floor to the bemusement of patrons in The Electric Horseman, then proceeds down Las Vegas Boulevard.

Harrah’s officials crowed about how they helped personalize service, added people to their mailing lists about special events, and counted a player’s bonus points precisely. Gathering data on gamblers expanded from there. In the 1990s, Harrah’s CEO Phil Satre wrote personal letters to customers who had visited multiple properties to ask where they planned to visit next. His staff tried to track the responses, but found that system time-consuming and difficult to maintain. 5 The executives hoped the new database would allow them to target their direct mail offers with greater precision.

They would bring us a free drink and hope that if we had any money in our pocket we would leave it there,” he recalls. “Now everything has changed. indd 32 6/23/14 12:15 PM 4 Casino Data Gathering in Action What the Casino Knows Gary Loveman and his math nerds do not wander casino floors personally sizing up customers as Benny Binion and old-time Vegas hands once did. Rather, they study data about customers’ past visits and project their potential future value. Just watching someone at a gaming table or slot machine for as little as sixty minutes makes it possible to predict how valuable a gambler may be in the future.

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