Measuring sadness index based on country statistics

• Autorzy: Samojluk Artur , Nowak Bartosz , Papiernik Karolina

Identyfikatory

DOI

10.31648/ts.8571

• Języki publikacji: EN

Abstrakty

EN

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

EN

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

• Wydawca: Wydawnictwo Uniwersytetu Warmińsko-Mazurskiego w Olsztynie
• Czasopismo: Technical Sciences / University of Warmia and Mazury in Olsztyn
• Rocznik: 2022
• Tom: nr 25(1)
• Strony: 193--203
• Opis fizyczny: Bibliogr. 22 poz., tab., wykr.

Twórcy

autor

Samojluk Artur

• Katedra Metod Matematycznych Informatyki, Wydział Matematyki i Informatyki, ul. Słoneczna 54, 10-710 Olsztyn

• https://orcid.org/0000-0001-5822-2210

autor

Nowak Bartosz

• Faculty of Mathematics and Computer Science, University of Warmia and Mazury in Olsztyn

• https://orcid.org/0000-0002-2577-4470

autor

Papiernik Karolina

• Faculty of Mathematics and Computer Science, University of Warmia and Mazury in Olsztyn

• https://orcid.org/0000-0002-4948-1680

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023)