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dc.contributor.authorMackie, Simonen_US
dc.date.accessioned2018-05-02T07:50:06Z
dc.date.available2018-05-02T07:50:06Z
dc.date.issued2018en_US
dc.identifier.otherHPU5161417en_US
dc.identifier.urihttps://lib.hpu.edu.vn/handle/123456789/30791
dc.description.abstractThis book is for all Frontend developers that want to build sites and apps that run faster. You’ll need to be familiar with HTML and CSS and have a reasonable level of understanding of JavaScript in order to follow the discussion. Analytics are made up of data that can be analyzed to draw logical conclusions, and for UX design specifically, that data contains information about the users of your app or website, such as their age, their location, their interests, or simply their behavior — that is, how they use your app or website. With this information, you can draw logical conclusions about who your users are and what they're looking for, and when you know what they're looking for, you can deliver it. Anything else is an educated guess at best, since data is objective — although even in this objective data there can lie many subjective truths and misconceptions. Analytics can be a mystery, and it requires a detective to unravel those mysteries. Over a series of articles, we're going to teach you how to unravel them.en_US
dc.format.extent63 p.en_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoenen_US
dc.publisherSitePointen_US
dc.subjectUX Analyticsen_US
dc.subjectProgrammingen_US
dc.subjectComputersen_US
dc.titleUX Analytics: An Introductionen_US
dc.typeBooken_US
dc.size1,125 KBen_US
dc.departmentTechnologyen_US


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