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G20 countries clustering based on their socio-economic indicator using Principal Component Analysis.

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Principal Component Analysis

The project is about clustering country in G20 based on social economy indicator of each country, by using Principal Component Analysis (PCA). The analysis calculated in R. You can find the R script in file "PCA.Rhistory". The report of the analysis is presented in pdf file.

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G20 countries clustering based on their socio-economic indicator using Principal Component Analysis.

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