Análisis exploratorio de estructuras temporales desde la óptica de tablas múltiples: Una aplicación

In this work we present an alternative approach to the usual graphics of time series for its comparative exploratory analysis. By having several time series measures in various contexts, we suggest its structure in multiple tables to study adequately their similarities and differences. The Multiple Factorial Analysis (MFA) is the technique that is selected as the most suitable for achieving the stated objectives, through their numerical measures and graphs. This approach of AFM is a novelty, since in other studies the time has been used as a criterion for structuring groups and not as statistical unit as discussed in this article. An empirical application from monthly data, of the last 10 years, relating to three indicators closely related to tourism, from the point of view of demand, and measured in seven national territories, makes evident the versatility and potential of the proposal.