Application of Modern Python-type Information Systems in the Modeling of Ukrainian Agricultural Enterprises by Clusterization Method

The work is devoted to the study of the economic activity of enterprises in the agrarian sector of the national economy, since this industry is developing and provides the largest share of exports in the national economy, even in the crisis year of 2022 for Ukraine. The possibility of applying modern scientific approaches to the modeling of leading agricultural companies using the cluster analysis method, and the implementation of the conducted modeling in modern information systems such as Python, which allows processing large data sets if necessary, and presenting them in a convenient interface for users, are considered. According to the results of the research, the proposed algorithm for clustering the leading agricultural firms of the national economy, and the result of the modeling is the construction of a dendrogram, which determines the rating position of the studied economic entities.