dc.contributor.author	Luersen, Chris	en
dc.contributor.author	Paes, Mark	en
dc.contributor.author	Gurijala, Srija	en
dc.contributor.author	Barnett, Steven	en
dc.contributor.author	Wang, Xu	en
dc.date.accessioned	2022-04-06T17:44:52Z	en
dc.date.available	2022-04-06T17:44:52Z	en
dc.date.issued	2021-12-08	en
dc.description.abstract	Our capstone project, entitled “Urban Advisor”, is a data-driven web-based decision support system targeted towards individuals who are weighing options to relocate to a new area. The application features an intake process that allows users to input preferences regarding their income, values, and lifestyle choices. From this, Urban Advisor will return an output of how up to three selected metropolitan areas compare against tailored quantitative metrics specific to the user’s input, and displays graphical data visualizations to assist in a user’s analysis of alternative locations.	en
dc.identifier.uri	http://hdl.handle.net/10919/109575	en
dc.language.iso	en_US	en
dc.rights	Attribution 4.0 International	en
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/	en
dc.title	Urban Advisor	en
dc.type	Master's project	en

Urban Advisor

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