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Análise exploratória de dados referentes às séries históricas de preços de combustíveis e arrecadação de tributos estaduais (2018.1 a 2023.2). Projeto final da disciplina Técnicas de Programação I do curso de Ciência de Dados da Ada Tech vinculado ao programa Santander Coders 2023.
In addition to exploring good practices in Python, the purpose is to apply concepts from Medallion Architecture, object-oriented programming and ETL, using public social data from Brazilian municipalities. This repository also uses DuckDB and Streamlit to display results