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A graphical data analyzer that analysis trend of a portal traffic based on big data stored by Google Analytic

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dc.contributor.advisor Chakrabarty, Dr. Amitabha
dc.contributor.author Farhan, S.M. Zamshed
dc.date.accessioned 2018-01-11T09:23:09Z
dc.date.available 2018-01-11T09:23:09Z
dc.date.copyright 2016
dc.date.issued 2016-12
dc.identifier.other ID 15173001
dc.identifier.uri http://hdl.handle.net/10361/9031
dc.description This project report is submitted in partial fulfilment of the requirements for the degree of Master of Science in Computer Science and Engineering, 2016. en_US
dc.description Cataloged from PDF version of thesis report.
dc.description Includes bibliographical references (page 39).
dc.description.abstract Google Analytics is a web analytics service offered by Google that tracks and reports website traffic, as per every pages to tell it to track, as well it's presenting visual representation of that data. But, to do so demands expertise on Google Analytical data manipulation. Our project helps the users to visualize the data as their own demand. The users also store any instance of traffic data, as well draw a comparison between any two instances. The main goal of this project to provide a simplified structure to analyze Google analytic data analysis users' trend. en_US
dc.description.statementofresponsibility S.M. Zamshed Farhan
dc.format.extent 39 pages
dc.language.iso en en_US
dc.publisher BARC University en_US
dc.rights BRAC University project reports are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subject Google Analytic en_US
dc.subject Web analytics service en_US
dc.subject Graphical data analyzer en_US
dc.title A graphical data analyzer that analysis trend of a portal traffic based on big data stored by Google Analytic en_US
dc.type Project report en_US
dc.contributor.department Department of Computer Science and Engineering, BRAC University
dc.description.degree M. Computer Science and Engineering


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