Seforim sale data analytics

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dc.contributor.advisorMedina, Patricia
dc.contributor.authorRosenthal, Zecharia
dc.date.accessioned2023-11-16T21:33:51Z
dc.date.available2023-11-16T21:33:51Z
dc.date.issued2023
dc.descriptionUndergraduate honors thesis / Open Accessen_US
dc.description.abstractI successfully shepherded this project through the six stages of a data science lifecycle. I produced three key deliverables: a web app for inventory prediction, a tableau data dashboard, and this written report. (from Conclusion)en_US
dc.description.sponsorshipPartial funding from the Jay and Jeanie Schottenstein Honors Programen_US
dc.identifier.citationRosenthal, Z. (2023). Seforim sale data analytics [Undergraduate honors thesis, Yeshiva University].en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12202/9489
dc.language.isoen_USen_US
dc.publisherYeshiva Universityen_US
dc.relation.ispartofseriesJay and Jeanie Schottenstein Honors Theses;2023
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectYeshiva University Seforim Saleen_US
dc.subjectdata analysisen_US
dc.subjectinventory predictionen_US
dc.titleSeforim sale data analyticsen_US
dc.typeThesisen_US

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Jay and Jeanie Schottenstein Honors Student Theses