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Analytical Dashboards of Civil Protection Occurrences in Portugal

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Advanced Research in Technologies, Information, Innovation and Sustainability (ARTIIS 2021)

Abstract

This study is focused on analysing Civil Protection occurrences for a better understanding of this type of events. This study collected all data on Civil Protection occurrences (Portugal Population) in the time interval from 2016 to 2019. The data comes from a public repository of Civil Protection. The results revealed that the most common type of occurrence is regarding Health Care (±47%). Assistance and Prevention of human activities, Accidents and Rural Fires appear in a second line of the most common types. Data were used to perform a more detailed analysis (compared to type), and trauma is the most frequent value with nearly 41% of the occurrences. Its evolution over the years of study deserves attention. It was possible to see that Lisbon and Porto dominate the number of occurrences by district and together have nearly one third (33%) of the occurrences. Summer (30.6%) is the most “favourable” time for this type of event, and in the opposite is winter (18.9%).

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References

  1. Prociv.pt. http://www.prociv.pt/pt-pt/Paginas/default.aspx. Accessed 29 Mar 2021

  2. Antunes, J. https://github.com/centraldedados/protecao_civil. Accessed 20 Mar 2021

  3. Ralph Kimball, M.R., Thornthwaite, W., Mundy, J., Becker, B., Wiley (eds.): The Data Warehouse Lifecycle Toolkit, 2nd edn. (2008)

    Google Scholar 

  4. Python Software Foundation. Python Language Reference, version 2.7. http://www.python.org

  5. McKinney, W.: pandas: a python data analysis library. http://pandas.sourceforge.net

  6. M. AB, M. Press (ed.): MySQL Language Reference: The Official Guide to the MySQL Language and APIs (2004)

    Google Scholar 

  7. Albert Nogués, J.V. (ed.): Business Intelligence Tools for Small Companies. Apress (2017)

    Google Scholar 

  8. Murray, D.G. (ed.): Tableau Your Data!: Fast and Easy Visual Analysis with Tableau Software. Wiley (2016)

    Google Scholar 

  9. MySQL: MySQL WorkBench (1995)

    Google Scholar 

  10. Sonia Bergamaschi, F.G., Orsini, M., Sartori, C., Vincini, M.: A semantic approach to ETL technologies (2011)

    Google Scholar 

  11. Ziawasch Abedjan, L.G., Naumann, F.: Profiling Relational Data – A Survey (2015)

    Google Scholar 

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Acknowledgements

This work has been supported by FCT – Fundação para a Ciência e Tecnologia within the R&D Units Project Scope: UIDB/00319/2020 and supervised by IOTECH.

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Correspondence to Filipe Portela .

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Barros, F., Portela, F. (2021). Analytical Dashboards of Civil Protection Occurrences in Portugal. In: Guarda, T., Portela, F., Santos, M.F. (eds) Advanced Research in Technologies, Information, Innovation and Sustainability. ARTIIS 2021. Communications in Computer and Information Science, vol 1485. Springer, Cham. https://doi.org/10.1007/978-3-030-90241-4_26

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  • DOI: https://doi.org/10.1007/978-3-030-90241-4_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-90240-7

  • Online ISBN: 978-3-030-90241-4

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