 Statistical Analysis of Economic Poverty in Poland Using RBrzezińska Justyna ()
Econometrics. Advances in Applied Data Analysis, 2018, vol. 22, issue 2, 45-53 Abstract: Economic poverty is one of the more common and complex problems in the modern world, as well as in Poland. This is a complex and multidimensional phenomenon, and therefore there is no single universally valid definition of poverty. This article presents a statistical analysis of economic poverty in Poland based on real data from the Central Statistical Office of Poland. An in-depth statistical analysis of the social situation of Poles will be presented, as well as an attempt to examine interdependencies in the occurrence of various forms of poverty and social exclusion in Poland. In the article, several multivariate statistical methods are presented together with the graphical presentation of results. We present a correspondence analysis with a perception map, as well as the advanced modern visualizing tool for categorical data. All the calculations were conducted using R software. Keywords: economic poverty; multivariate statistical analysis; categorical data analysis; R software (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:vrs:eaiada:v:22:y:2018:i:2:p:45-53:n:4 Access Statistics for this article Econometrics. Advances in Applied Data Analysis is currently edited by Józef Dziechciarz More articles in Econometrics. Advances in Applied Data Analysis from Sciendo |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.