Unraveling ENADE: A Comprehensive Analysis of Data and Results from Higher Education Courses.

Abstract

This study, related to the field of data engineering, aims to extract, process, and analyze data from higher education courses, thus aiding in the understanding of trends and insights. It is important to note the relevance of these studies, as they allow for a more quantitative analysis of the data, such as identifying which institutions have the highest scores and correlating this information with student age. To achieve this goal, the study will follow a descriptive data methodology, collecting and presenting all relevant information.

As part of this, the study will detail the processes of data extraction and cleaning, and it will also feature a data dashboard that organizes and cross-references all collected information in graphical form, with time filters to better understand the dynamics at play. Therefore, we can infer that the results have been obtained, though the study is limited by the constraints of the available data, which did not allow for cross-referencing information on social quotas and scholarship recipients.