Exploring Relationships Between Ethnic Groups Using Python: Analysis Methods and Results

Ethnic group relations are examined using Python-based data analysis techniques. Political, economic and sociological factors influencing ethnic relations are studied, and a comprehensive analysis is carried out using correlation, regression and cluster analysis. Primary data was collected through population censuses, public opinion surveys and statistical reports. The results show that economic instability and low levels of education contribute to increased ethnic tensions, while political stability and progressive legislation reduce the level of conflict. Cluster analysis revealed three main groups of people with different income, education and ethnic views. The study highlights the need to use an integrated approach and analytical methods to develop effective political and economic strategies aimed at improving inter-ethnic relations.