Abstrakt:
The paper deals with data analysis of young people behaviour (in age from
16 to 29 years) in digital world living in the European Union States. For this analysis,
ten selected indicators from the area of digital world (focused for example on working
with Internet, on social networks, on the Internet banking, on searching of information
about travelling, about goods and services, e-mail communication and calls) and two
economic indicators (gross domestic product per capita and unemployment rate) were
chosen. Derived attributes were calculated in the data pre-processing phase. Selected
algorithms of the agglomerative hierarchical clustering (as are the nearest neighbour
method, the furthest neighbour method, the centroid clustering, the median clustering
and the Ward method etc.) were used to find groups of similar objects (individual states
of the European Union) based on the chosen indicators. Values of average coefficients
of growth were used for clustering. The best results of clustering were achieved by the
Ward‘s method; the data was divided into three clusters. Identified groups of European
Union States were described by mentioned indicators.
