D
2017
HIGH-DIMENSIONAL STATISTICAL ANALYSIS OF DEMOGRAPHIC DATA IN REGIONS OF THE CZECH
SKUPINOVÁ, Sylva, Jan MÁČE, Eliška SMOTLACHOVÁ and Tomáš NOVOTNÝ
Basic information
Original name
HIGH-DIMENSIONAL STATISTICAL ANALYSIS OF DEMOGRAPHIC DATA IN REGIONS OF THE CZECH
Edition
první. Olomouc, p. 662-670, 9 pp. 2017
Publisher
Palacký University, Olomouc
Other information
Type of outcome
Stať ve sborníku
Field of Study
50200 5.2 Economics and Business
Country of publisher
Czech Republic
Confidentiality degree
není předmětem státního či obchodního tajemství
Publication form
electronic version available online
Organization unit
University College Prague – University of International Relations and Institute of Hospitality Management and Economics, Ltd.
Keywords (in Czech)
demografie, populační struktura, dynamické indikátory, klastrová analýza, analýza hlavních součástí
Keywords in English
Demographics, population structure, dynamics indicators, cluster analysis, principal component
Tags
International impact, Reviewed
V originále
This article deals with analysis of demographic data for component regions in the Czech Republic in 2015. Out of the source demographic data of the Czech Statistical Office there were calculated basic indicators, measures and demographic indexes. Using the Principal Component Analysis an extensive number of variables was eliminated to five crucial components which were subsequently included in the targeted Cluster Analysis. On the basis of the Ward method of hierarchic clustering and application of Euclid distance calculation, the probability matrix was compiled to get the resultant dendrogram of the four main clusters. Among other it was found out that region of the capital Prague (Hlavní město Praha) creates separate cluster together with Pardubice, and Central Bohemia (Středočeský) region create separate cluster with Liberec region.
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