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dc.contributor.authorWoods, Nathan
dc.date.accessioned2020-04-30T10:07:43Z
dc.date.available2020-04-30T10:07:43Z
dc.date.issued2013-04-01
dc.identifier.urihttps://scholars.carroll.edu/handle/20.500.12647/3401
dc.description.abstractThe Web provides businesses the opportunity to present and market themselves as never before. Given the ability to present almost unlimited information, a key question is how should that information be organized. N8stats is a web analytics system that I’ve designed to provide feedback on website structure and design in realtime. In particular, I explore the use of regression analysis to determine the correlation between time spent browsing a web page and page word count as a measure of whether users are reading content on a page. Markov chain analysis is also used to determine whether or not users are clicking through a particular page to reach content on a second or third page. This project walks through the development of the N8stats tool and an analysis of the Carroll College web site using data collected during Fall 2012.
dc.titleWeb Analytics with N8stats
dc.typethesis
carrollscholars.object.degreeBachelor's
carrollscholars.object.departmentMathematics, Engineering & Computer Science
carrollscholars.object.disciplinesComputer Sciences
carrollscholars.legacy.itemurlhttps://scholars.carroll.edu/mathengcompsci_theses/25
carrollscholars.legacy.contextkey10998349
carrollscholars.object.seasonSpring
dc.date.embargo12/31/1899 0:00


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