AUTOMATION OF ANALYSIS AND FORECASTING OF THE DEVELOPMENT OF THE REGIONAL AGRICULTURAL SECTOR IN THE R ENVIRONMENT

The article is devoted to current issues of digital transformation, which is becoming a key factor in the sustainable development of agriculture in the context of globalization and the formation of a new technological order. Currently, balanced development of regions is of great importance, con-tributing to the reduction of interregional inequality, improving the quality of life of the population and creating conditions for the effective use of human capital in all parts of the country. At the state level, special attention is paid to the problems of regions with limited economic potential, where the implementation of complex and expensive digital solutions is the difficult task. The purpose of the study is to develop an information system for analyzing the development of the agricultural sector of the Republic of Tyva. The system is based on the use of the R programming language and in-cludes methods of correlation, regression and factor analysis for processing data on the socio-economic development of the region. The development includes accessible and functional tools for analysis and forecasting, contributing to the improvement of the quality of management decisions. Testing of the information system on regional data showed quite high efficiency. The attractiveness of the developed tool is due to its ease of use, accessibility, as well as the accuracy and efficiency of forecasts.