Statistical analysis of COVID-19 development in the Czech Republic and selected countries

Linda Krčmářová

Bakalářská práce

Abstract:

This Bachelor thesis is focused on the analysis of the development of COVID-19 in the Czech Republic and other selected countries. The Literature Review concerns mainly the explanation of Big data and with it connected techniques, such as Processing and Analysis of Big data as well as Predictive analysis. Lastly, COVID-19 is introduced and its development in the world is explained. Measures taken by the governments and other factors influencing the spread and course of the disease are also defined in the theoretical part and later are analyzed in the practical part of the thesis. The second part of this paper is concerned with own research. Firstly, the hierarchical clustering analysis is performed in order to create a group of countries with similar characteristics as Czech Republic. Then, data from those countries about the spread and development of COVID-19 are analyzed and the fluctuations are compared with the established measures and other factors influencing the course of the pandemic in the specific territory. As the most influential elements were identified the population density and the number of already occurring cases in the specified country.

Keywords

Big Data, Hierarchical clustering, Data analysis, COVID-19, pandemics

Jazyk práce: angličtina

Datum vytvoření / odevzdání či podání práce: 16. 3. 2021

Obhajoba závěrečné práce

• Vedoucí: Ing. Tomáš Hlavsa, Ph.D.

Česká zemědělská univerzita v Praze

Provozně ekonomická fakulta

Bakalářský studijní program / obor:
Economics and Management / Economics and Management