Abstract

Goal. Used voluminous bubble charts to identify the relationships are described using histograms accumulation schedules following summary data FD in the last 5 years: a housing allocation in the urban and rural; the distribution of the housing stock by ownership; the dynamics of the proportion of old and dilapidated housing stock in the total area of all the housing stock; including specific gravity of families in need of accommodation, receiving accommodations, improve living conditions, have received subsidies to pay for housing and communal services; the number of citizens using social support, social support received for payment of housing and communal services. Methods. We used the methods of descriptive statistics, comparative analysis, visualization. Results. To identify differences between the subjects of FD were summarized above indicators FD 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, which was later confirmed by statistical calculations. Conclusion. Using the methods of descriptive statistics, comparative analysis, visualization, demonstrated their great potential for the evaluation and analysis of the dynamics of living conditions in the Federal District of the Russian Federation. On the basis of descriptive statistics and visualization techniques have been investigated as a place of each FD data in dynamics, and in relation to other subjects. It has been made appropriate recommendations on the priorities for each subject. Analyzes the interdependence of the main indicators on the basis of volume bubble charts.

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