Predictive analysis of rate of happiness

Bc. Mikhail Rodovolskiy

Master's thesis

Abstract:

This paper examines the key factors affecting the level of happiness of an individual. It consists from two parts: theoretical and practical. The first part is dedicated to the determination of basic concepts of big data, classification of the methods of big data analysis. It also contains a literature review of articles related to the studies of happiness. The determinants of happiness are described in this part. The second part of thesis is dedicated to the practical research and analysis based on European Social Survey Dataset in order to approve or reject the stated hypotheses as well as to highlight the main factors that affect the level of happiness of a person. The results obtained in the course of the study reveal the positive effects of GDP per capita, income, and trust in society, health and being religious. Within the positive ones, some factors affecting the happiness level negatively were discovered as well. They are: unemployment status, felling of safety, level of satisfaction.

Keywords

Analysis, Statistics, Predictive modelling, analytics, happiness, level of happiness, Big Data, European Social survey, survey

Jazyk práce: English

Datum vytvoření / odevzdání či podání práce: 31. 3. 2021

Obhajoba závěrečné práce

• Vedúci: Ing. Tomáš Hlavsa, Ph.D.

Czech University of Life Sciences Prague

Faculty of Economics and Management

Master programme / odbor:
Systems Engineering and Informatics / Informatics