COLLECTIVE ACCOMMODATION FACILITIES IN THE NORTH CAUCASUS FEDERAL DISTRICT SUBJECTS

Abstract

Goal. Used voluminous bubble charts to identify the relationships are described using the histogram with the accumulation, the following summary data graphs SKFO entities over the past 5 years: The number of collective accommodation facilities; the number of outstanding individuals, thousand. man. Methods. We used the methods of descriptive statistics, comparative analysis, visualization. Results. To identify differences between the subjects of North Caucasus Federal District were summarized above figures in North Caucasus Federal District entities over the past 5 years. It is possible to trace the trend of changing data rates for FD (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. Volume bubble charts clearly demonstrated the interdependence of the individual indicators. Conclusion. Using the methods of descriptive statistics, comparative analysis, visualization, demonstrated their great potential for the evaluation and analysis of the dynamics of cultural development in the regions of North Caucasus Federal District. On the basis of descriptive statistics and visualization techniques have been investigated place each subject over the years as the North Caucasus Federal District dynamics, and in relation to other subjects. We have been made appropriate recommendations on the priorities for each subject. Analyzes the interdependence of the main indicators on the basis of volume bubble charts.