THE ROLE OF CORPORATE ENTREPRENEURSHIP IN COMPETITIVENESS. DATA ANALYSIS OF QUANTITATIVE. PART 2

The article presents conclusions regarding application of Principal Component Analysis to data about to measure the entrepreneurial potential of the company. A method of principal components analysis was used in the research in order to separate significantly correlated variables. The method gives o...

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Main Author: Aneta Oniszczuk-Jastrząbek
Format: Article
Language:English
Published: University of Gdansk 2016-06-01
Series:Contemporary Economy
Subjects:
Online Access:http://www.wspolczesnagospodarka.pl/?p=1199
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author Aneta Oniszczuk-Jastrząbek
author_facet Aneta Oniszczuk-Jastrząbek
author_sort Aneta Oniszczuk-Jastrząbek
collection DOAJ
description The article presents conclusions regarding application of Principal Component Analysis to data about to measure the entrepreneurial potential of the company. A method of principal components analysis was used in the research in order to separate significantly correlated variables. The method gives opportunity to replace an input set of correlated features through a low number of non-correlated principal components, which constitute linear rearrangement of variables. Minimisation of the number of variables required to explain a particular variable simplifies interpretation of results. Using basic model formula requires verification what part of total variability is captured and also defining what part of variability would be explained by additional components.
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spelling doaj.art-a53db0fcd272407fbbdde938197f48052022-12-22T01:45:15ZengUniversity of GdanskContemporary Economy2082-677X2082-677X2016-06-017295119THE ROLE OF CORPORATE ENTREPRENEURSHIP IN COMPETITIVENESS. DATA ANALYSIS OF QUANTITATIVE. PART 2Aneta Oniszczuk-Jastrząbek0Uniwersytet GdańskiThe article presents conclusions regarding application of Principal Component Analysis to data about to measure the entrepreneurial potential of the company. A method of principal components analysis was used in the research in order to separate significantly correlated variables. The method gives opportunity to replace an input set of correlated features through a low number of non-correlated principal components, which constitute linear rearrangement of variables. Minimisation of the number of variables required to explain a particular variable simplifies interpretation of results. Using basic model formula requires verification what part of total variability is captured and also defining what part of variability would be explained by additional components.http://www.wspolczesnagospodarka.pl/?p=1199principal components analysisdimensionality reduction
spellingShingle Aneta Oniszczuk-Jastrząbek
THE ROLE OF CORPORATE ENTREPRENEURSHIP IN COMPETITIVENESS. DATA ANALYSIS OF QUANTITATIVE. PART 2
Contemporary Economy
principal components analysis
dimensionality reduction
title THE ROLE OF CORPORATE ENTREPRENEURSHIP IN COMPETITIVENESS. DATA ANALYSIS OF QUANTITATIVE. PART 2
title_full THE ROLE OF CORPORATE ENTREPRENEURSHIP IN COMPETITIVENESS. DATA ANALYSIS OF QUANTITATIVE. PART 2
title_fullStr THE ROLE OF CORPORATE ENTREPRENEURSHIP IN COMPETITIVENESS. DATA ANALYSIS OF QUANTITATIVE. PART 2
title_full_unstemmed THE ROLE OF CORPORATE ENTREPRENEURSHIP IN COMPETITIVENESS. DATA ANALYSIS OF QUANTITATIVE. PART 2
title_short THE ROLE OF CORPORATE ENTREPRENEURSHIP IN COMPETITIVENESS. DATA ANALYSIS OF QUANTITATIVE. PART 2
title_sort role of corporate entrepreneurship in competitiveness data analysis of quantitative part 2
topic principal components analysis
dimensionality reduction
url http://www.wspolczesnagospodarka.pl/?p=1199
work_keys_str_mv AT anetaoniszczukjastrzabek theroleofcorporateentrepreneurshipincompetitivenessdataanalysisofquantitativepart2
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