Abstract
This paper is focused on the analysis of relations between variables representing the satisfaction with various aspects of life and other socio-economic indicators. The main objective of the study is to identify associations between multivariate datasets. The research is based on the datasets containing both metric and non-metric data, which determines the use of adequate analytical techniques. Hence, canonical correlation analysis and nonlinear canonical correlation analysis are applied, respectively. Special attention is paid to the visual presentation of the outcomes of the analyses. The approach used in this paper allows for the detection of interesting relations and patterns between datasets under consideration.
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