Desenvolvimento de uma aplicação para análise de dados socioeconômicos sobre competitividade entre cidades brasileiras

Abstract

This paper presents the development and analysis of a system aimed at evaluating socioeconomic data from Brazilian cities, with the aim of helping to understand regional disparities and formulate more efficient public policies. Data were collected from reliable sources, such as IBGE, DATASUS and INEP, covering education, health and income indicators, which were processed, organized and analyzed using tools such as Dask, Pandas and Cython, which optimized the processing of large volumes of information. The system was structured in a layered architecture, with a backend developed in Flask and compiled in C to improve performance, and an interactive and responsive frontend, implemented with Tailwind CSS, Semantic UI and visualization libraries such as Plotly. The results were presented in dynamic graphs that allow the exploration of data such as the evolution of GDP per capita, average wage and health indicators, highlighting regional disparities and development patterns. The analyses carried out highlighted the reduction in the number of school enrollments after the pandemic, the growing differences in average salaries between regions, and the prevalence of specific health problems in cities such as Manaus. The system proved to be a practical and effective tool for transforming complex data into accessible insights, contributing to urban planning and the competitiveness of Brazilian cities. It is concluded that the integration of socioeconomic data with modern technologies can promote more informed, equitable, and sustainable public management.