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This small blog will give some tricks, some examples and some tools to perform exploratory multivariate data analysis methods such as Principal Component Analysis (PCA), single or Multiple Correspondence Analysis (MCA or CA) or advanced methods such as Multiple Factor Analysis (MFA). It will give also advises to handle missing values with principal component methods.

FactoMineR, an R package dedicated to multivariate Exploratory Data Analysis