Abstract
Goal. Used voluminous bubble charts to identify the relationships are described using the histogram with the accumulation, the following summary data graphs SFD entities over the past 5 years: the number of families who received subsidies to pay for housing and communal services, as a percentage of the total number of families; the average monthly family subsidy; the number of families who received subsidies to pay for housing and utilities, at the end of the reporting period; the total assessment on subsidies for housing and communal services. Methods. We used the methods of descriptive statistics, comparative analysis, visualization. Results. To identify differences between the subjects of the Southern Federal District were summarized above indicators 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 regions of the Southern Federal District. Based on the methods of descriptive statistics, and visualization was investigated place each subject as data over time and relative to other regions. 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.
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