Measuring sadness index based on country statistics

Abstract

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.