Measuring sadness index based on country statistics

Artur Samojluk

University of Warmia and Mazury in Olsztyn

Bartosz Nowak

University of Warmia and Mazury in Olsztyn

Karolina Papiernik




Abstrakt

The article studied topics related to measuring people’s sadness. For this purpose, the question was asked which factor: social, economic or climate, matters most. The paper analyzed, using machine learning, statistical data related to the number of suicides against the factors: level of Internet access, average income, temperature in a country and, in addition, population density. The method used was correlational statistical analysis using the K-nearest neighbor (KNN) method and also Pearson’s correlation. The results were visualized in the form of graphs, then subjected to final analysis and included in the form of final conclusions.


Słowa kluczowe:

happiness index, sadness index, k-nn, regression, machine learning


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Opublikowane
10-01-2023

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Samojluk, A., Nowak, B., & Papiernik, K. (2023). Measuring sadness index based on country statistics. Technical Sciences, 25, 193–203. https://doi.org/10.31648/ts.8571

Artur Samojluk 
University of Warmia and Mazury in Olsztyn
Bartosz Nowak 
University of Warmia and Mazury in Olsztyn
Karolina Papiernik 




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Utwór dostępny jest na licencji Creative Commons Uznanie autorstwa 4.0 Międzynarodowe.





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