Visualization of candidate data for socioeconomic aid in graphs: case study at the Federal Institute of Minas Gerais (IFMG)

Introduction: the expansion of the Brazilian federal higher education network in the last two decades was made possible, in large part, thanks to the implementation of governmental actions such as the National Student Assistance Program (PNAES). In it, budgetary resources are decentralized to educational institutions, which, in turn, are responsible for selecting those candidates who have the greatest demand for receiving socio-economic assistance. This paper proposes a differentiated approach to visualize the relationships between the data of such candidates, improving the analysis process conducted by Social Assistants. Method: a case study was carried out at the Federal Institute of Minas Gerais (IFMG) to demonstrate the feasibility of implementing and using the proposed solution based on real data from the institution, collected directly from the base of applicants for socioeconomic assistance. Results: the presentation of data and relationships between entities can be better viewed by Social Workers and contribute directly to understanding the real situation of the candidates. Conclusions: analyzis of candidate information can benefit from the ability to build knowledge based on the visualization of data in graphs compared to that based on textual reports.