Abstract
Analyzing data requires statistical tools to interpret the data information, which helps to improve the process. This is the interpretation of the qualitative and quantitative status of mixed data. The objective of this paper was to study the implementation of principal component analysis on mixed data and explain how to handle this type of databases and to make it possible to extract statistical information over a population under study. The effectiveness of principal component analysis on mixed data was studied using data sets available in the R package and simulated data. (C) 2019 The Authors. Published by IASE.