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These classification according to different parameters are related related with the day-of-visit parameter  because some of this classes are more likely to visit the Aquarium in  particular days than others. Image \[6\] shows the observed behavior.

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Image 6. Plot of relative amount of visitors of different user classes and how they are related.

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It is also possible to identify the distribution of these classes considering their time-budget and planning behavior. Image \[6\] presents this information graphically.

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Image 6. Plot of the relative distribution of user classes according to time-budget and planning behavior.

3.2 Staff

We didn't have access to interview the staff during these visits because it's necessary to be authorized first. However, after observations and getting familiar with the dynamics of the staff that is visible to the visitor, we can anticipate the following main user classes relevant to the problem we are analysing.

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