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Title: Big Data for gender analysis
Author: Guerra Rivas, Laura
Director/Tutor: Estradé Albiol, Sònia
Viscasillas Valls, Gemma
Keywords: Estudis de gènere
Dades massives
Tesis doctorals
Universitat de Barcelona. Facultat de Física
Treballs de fi de grau
Gender studies
Big data
Doctoral dissertations
University of Barcelona Faculty of Physics
Bachelor's theses
Issue Date: Jun-2022
Abstract: The 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 Python
Note: Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2022, Tutores: Sònia Estradé, Gemma Viscasillas
Appears in Collections:Treballs Finals de Grau (TFG) - Física

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