PL EN


Journal
2014 | 2(44) | 31-44
Article title

Wykorzystanie wybranych form i technik wizualizacji danych w badaniach struktur społeczno-ekonomicznych

Content
Title variants
EN
Application of selected forms and techniques of data visualization in analyzing socio-economic structures
Languages of publication
PL
Abstracts
EN
The paper presents a selection of visualization methods which may be useful for the analyses and comparisons of socio-economic structures. The work is focused on the techniques that do not require dimensionality reduction, which is usually accompanied by the loss of some information from the dataset. The methods of graphical presentation of structures and illustration of their similarities and dissimilarities are considered as well as strengths and weaknesses of various solutions are outlined. The discussion is based on data concerning the structures of education attainment in the European Union countries.
Journal
Year
Issue
Pages
31-44
Physical description
Contributors
  • Uniwersytet Ekonomiczny we Wrocławiu
References
  • Aitchison J., The Statistical Analysis of Compositional Data, Springer, 1986.
  • Brzeziński J. (red.), Metodologia badań psychologicznych. Wybór tekstów, Wydawnictwo Naukowe PWN, Warszawa 2004.
  • Chen C.H., Haerdle W., Unwin A., Handbook of Data Visualization, Springer-Verlag 2008.
  • Demšar J. i in., Orange: Data mining toolbox in python, “Journal of Machine Learning Research” 2013, 14(Aug.), s. 2349-2353.
  • Dorośli w systemie edukacji formalnej: polityka i praktyka w Europie, Komisja Europejska, wyd. polskie: Fundacja Rozwoju Systemu Edukacji, Warszawa 2011.
  • Du Toit S.H.C., Steyn A.G.W., Stumpf R.H., Graphical Exploratory Data Analysis, Springer-Verlag, New York 1986.
  • Dzemyda G., Kurasova O., Žilinskas J., Multidimensional Data Visualization: Methods and Applications, Springer, 2012
  • Educational attainment and outcomes of education (edat), http://epp.eurostat.ec.europa.eu/portal/page/portal/statistics/search_database [dostęp: 5.03.2014].
  • Friendly M., Corrgrams: Exploratory displays for correlation matrices, “The American Statistician” 2002, 56.4, s. 316-324.
  • Friendly M., Visualizing Categorical Data, SAS Institute, 2000.
  • Hoffman P., Grinstein G., Marx K., Grosse I., Stanley E., DNA visual and analytic data mining, [w:] Visualization’97, Proceedings IEEE, 1997, s. 437-441.
  • http://epp.eurostat.ec.europa.eu/cache/ITY_SDDS/en/edat_esms.htm [dostęp: 15.03.2014].
  • Inselberg A., The plane with parallel coordinates, “The Visual Computer” 1985, 1.2, s. 69-91.
  • Sarkar D., Lattice: Multivariate Data Visualization with R, Springer, 2008.
  • Steczkowski J., Zeliaś A., Statystyczne metody analizy cech jakościowych, Państwowe Wydawnictwo Ekonomiczne, Warszawa 1981.
  • Strahl D. (red.), Taksonomia struktur w badaniach regionalnych, Wydawnictwo Akademii Ekonomicznej we Wrocławiu, Wrocław 1998.
  • Suchecki B. (red.), Ekonometria przestrzenna: metody i modele analizy danych przestrzennych, Wydawnictwo C.H. Beck, Warszawa 2010.
Document Type
Publication order reference
Identifiers
YADDA identifier
bwmeta1.element.desklight-c341b64f-9c47-461b-b7b1-e829d0f9d747
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