A methodology for classifying visitors to an amusement park

The main contribution of this work is showing how to obtain a classification of visitors to an amusement park by using cluster analysis and visualization techniques. The selection of variables for K-means algorithm and the results obtained are visually analyzed in dispersion graphs according to their Principal Components, in boxplots and in a Linear Model so as to fine-tune a result that can explain differences between the groups and similarities within each group.