Συγκριτική μελέτη και οπτικοποίηση δεδομένων της πανδημίας Covid19 με χρήση τεχνικών πολυμεταβλητής ανάλυσης
Comparative study and visualization of Covid19 epidemic data using multivariate analysis techniques
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Keywords
Πολυμεταβλητή ανάλυση ; COVID-19 ; Πανδημία ; PCA ; Cluster analysisAbstract
The subject of the present MSc Dissertation is the comparison of the progress and the consequences of
the Covid19 pandemic between countries and between continents. The first case of the Covid19 pandemic
was recorded in Wuhan, China in December 2019 and since then the personal, social, financial life of all
the people of the world changed dramatically.
The aim of this thesis is the presentation of the progress and the consequences of the Covid19
pandemic as well as the comparison of them between countries and between continents by analyzing data.
In the first part, we present some studies which have been conducted recently aiming at the comparison
of the consequences of the Covid19 pandemic in different countries. In the second part, the theory of the
multivariate analysis, which will be used, is presented briefly. In the third part, the multivariate analysis
methods, which have been presented in the second part, are implemented in the R programming language
and then they are applied to real datasets. The results of the analysis are presented along with several
comments/suggestions that may be proved useful for policy makers.
Postgraduate Studies Programme
Εφαρμοσμένη ΣτατιστικήDepartment
Σχολή Χρηματοοικονομικής και Στατιστικής. Τμήμα Στατιστικής και Ασφαλιστικής ΕπιστήμηςNumber of pages
95Language
GreekCollections
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Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα
Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα