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Scrape the LivingSocial/Groupon web-sites to the everyday deals and build a prediction of how prosperous the offer might be dependant on locale/price/form of deal. You could possibly use both the RCurl R offer or even the XML R offer to scrape the data. (
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This information on delivery names is an effective start - can you discover other modern facts of the ``percents in several categories" type? Could you come up with a table displaying the place folks declare electric power laws maintain (analogous to my Ordinary desk)? Route-lengths in transportation do my stats assignment networks.
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