IMPROVING THE EFFICIENCY OF SUBJECTS VEGETABLES IN THE URALS FEDERAL DISTRICT - ESSENTIAL TO IMPROVING THE REGION'S FOOD SECURITY

Abstract

Goal . In this paper, with the help of charts, histograms accumulation volume bubble chart describes the changes of gross yield, yield and acreage of vegetables in the regions of the Urals Federal District for the past 5 years. It has been studied the location of each entity of the Urals Federal District in the development of culture as the data over time and in relation to other subjects of the Urals Federal District. Factor analysis of the effect of yield and acreage to changes in gross collection. Built equation for forecasting the gross harvest of vegetables. Methods . We used the methods of descriptive statistics, visualization, factor analysis, correlation and regression analysis. Results . To identify differences between the federal districts were summarized figures for gross harvest, yield and acreage of vegetables in the regions of the Urals Federal District for the past 5 years. It is possible to trace the trend of changes in these parameters for all subjects of the Urals Federal District (as well as the relative position of the subjects), not only for one year, but for the last 5 years at the same time with the help of histograms and graphs accumulation. Bubble charts clearly demonstrated the interdependence of all three indicators that statistical calculations has been confirmed in the future. Factor analysis showed the importance of the influence of yield and acreage on the gross harvest of vegetables in the regions of the Urals Federal District. Conclusion . Using the methods of descriptive statistics, visualization, factor analysis, correlation and regression analysis demonstrated their great potential for the evaluation and analysis of the dynamics of efficiency of vegetable production. Based on the methods of descriptive statistics, and visualization was investigated the location of each entity in the development of culture as the data over time and in relation to other subjects of the Urals Federal District. We have been made appropriate recommendations on the priorities for each subject of the Urals Federal District. Correlation analysis confirms the conclusions about relationships between yield, crop areas, the gross collection made on the basis of bubble charts. On the basis of factor analysis, it was concluded that the yield of vegetables in the regions of the Urals Federal District is given a lot of attention, which is not fully to the increase in acreage. The calculated multiple regression equation allows you to make forecasts of gross collection and suggests that the effect size of the acreage is more important for the gross yield than the yield. The resulting factor analysis results allow management entities of the Urals Federal District to take concrete measures to increase the gross harvest of vegetables.