# metadata.dc.description[].value
Treballs finals del Màster de Fonaments de Ciència de Dades, Facultat de matemàtiques, Universitat de Barcelona, Any: 2018, Tutor: Mireia Ribera i Eloi Puertas i Prats

# metadata.dc.description.abstract[].value
[en] This thesis concludes the Masters studies in Data Science of the University of Barcelona during the course 2017/2018. It contains a study of the escoltas catalans census, an non-profit organization, part of the scouts foundation, with the aim of obtaining insights that might be useful for enhacing their internal organization or assisting future decisions by adding information.
The work done during this thesis includes different stages of the datascience pipeline, from data gathering and data enriching to the use of state of the art techniques for predicting future behaviours. The analysis performed on the obtained data resulted in two main outcomes:
• Infographics. A visualization explaining data characteristics and some interesting facts found while performing the data analysis was created. In order to create this visualization, techniques learned during the course of the Presentation and Visualization subject were applied.
• Analysis of implication. Aiming to have a better understanding of which factors determine the implication of the association members, a study of the length of stay and its correlated circumstances has been performed.
Apart of those outcomes, the job done around data cleaning, formatting and enriching might be considered another interesting outcome of this project.
To perform the analysis, open data has been leveraged to add the necessary information about the context and domain. To perform all done work regarding data acquisition, processing and analysis, different open source tools have been used.
All the information and details about project outcomes and development are explained in the present document.

# metadata.dc.rights[].value
cc-by-nc-nd (c) David solans Noguero, 2018

# metadata.dc.source[].value
Màster Oficial - Fonaments de la Ciència de Dades