Ciência de Dados com Power Bi: Análise do Histórico do Cultivo da Erva-Mate e do Café no Brasil

• Autor(a) principal: MURILO SEGOVIA MARTINEZ
• Data de Publicação: 2023
• Tipo de documento: Trabalho de conclusão de curso
• Idioma: por
• Título da fonte: Repositório Institucional da UFMS
• Texto Completo: https://repositorio.ufms.br/handle/123456789/8047
• topic: Power-BI; Erva-Mate; Café; Ciências Exatas e da Terra

This undergraduate thesis aims to reconcile data science and Power BI to analyze the historical cultivation of yerba mate and coffee in Brazil. Agriculture is a vital part of the Brazilian economy, with yerba mate and coffee being two of the main agricultural products. However, the lack of detailed analyses of the historical cultivation of these crops can lead to ill-fitting policies and business decisions. The results of this study can help farmers and authorities better understand the trends in the cultivation of yerba mate and coffee in Brazil. The methodology used involves the collection and processing of historical production, climate, and market data through interactive visualizations and statistical analyses. The objective of this work is to apply data science, using the Power BI Business Intelligence software to analyze the historical cultivation of yerba mate and coffee in Brazil, where it is expected that the results of this analysis can help farmers and competent authorities better understand the trends of these crops and make more assertive decisions. As an integral part of this study, I highlight the development of a brief tutorial that addresses everything from initial download to practical use of Power BI. This guide provides an accessible introduction for beginners, making it easier to understand and apply the fundamental functionalities of the tool.