Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/188713
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dc.contributor.advisorEstradé Albiol, Sònia-
dc.contributor.advisorViscasillas Valls, Gemma-
dc.contributor.authorGuerra Rivas, Laura-
dc.date.accessioned2022-09-05T14:51:26Z-
dc.date.available2022-09-05T14:51:26Z-
dc.date.issued2022-06-
dc.identifier.urihttp://hdl.handle.net/2445/188713-
dc.descriptionTreballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2022, Tutores: Sònia Estradé, Gemma Viscasillasca
dc.description.abstractThe objective of this work is to use python-based big data tools to perform a gender study of doctoral theses carried out at the Faculty of Physics of the University of Barcelona. The data used for the study is a total of 561 theses that have been obtained from the Dipòsit Digital of the University of Barcelona through Web Scraping and have been analyzed using Pythonca
dc.format.extent5 p.-
dc.format.mimetypeapplication/pdf-
dc.language.isoengca
dc.rightscc-by-nc-nd (c) Guerra, 2022-
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.sourceTreballs Finals de Grau (TFG) - Física-
dc.subject.classificationEstudis de gènerecat
dc.subject.classificationDades massivescat
dc.subject.classificationTesis doctoralscat
dc.subject.classificationUniversitat de Barcelona. Facultat de Física-
dc.subject.classificationTreballs de fi de grau-
dc.subject.otherGender studieseng
dc.subject.otherBig dataeng
dc.subject.otherDoctoral dissertationseng
dc.subject.otherUniversity of Barcelona Faculty of Physics-
dc.subject.otherBachelor's theses-
dc.titleBig Data for gender analysiseng
dc.typeinfo:eu-repo/semantics/bachelorThesisca
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca
Appears in Collections:Treballs Finals de Grau (TFG) - Física

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