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GUERRA RIVAS LAURA_6057579_assignsubmission_file_TFG-Guerra-Rivas-Laura.pdf (298.24 KB)

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Bachelor thesis

Publication date

2022-06

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cc-by-nc-nd (c) Guerra, 2022
Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/188713

Big Data for gender analysis

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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

Description

Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2022, Tutores: Sònia Estradé, Gemma Viscasillas

Subject

Estudis de gènere, Dades massives, Tesis doctorals, Universitat de Barcelona. Facultat de Física, Treballs de fi de grau

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Gender studies, Big data, Doctoral dissertations, University of Barcelona Faculty of Physics, Bachelor's theses

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Treballs Finals de Grau (TFG) - Física

Citation

GUERRA RIVAS, Laura. Big Data for gender analysis. [consulted: 12 of June of 2026]. Available at: https://hdl.handle.net/2445/188713

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