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Through the analysis of cultural, socioeconomic and academic performanceaspects it is possible to map the profile of the students and their motivationsto drop out. This article aims to create a computational tool for datavisualization that allows drawing the profile of students to supporteducational institutions managers in the definition of dropout avoidancepolicies. We present a method to treat data collected by higher educationinstitutions over the years, analyze them to understand the dropout and providethat information to the university and the general public. Eight questions wereproposed to clarify the dropout from the Federal University of Esp\'iritoSanto, Brazil. The questions were answered through the dashboard that helps tounderstand the causes of dropout. It is expected that this tool can be used byothers educational institutions to draw student profiles contributing topossible resolution of the problem.

A visualization tool for data analysis on higher education dropout: a case study at UFES