(Retracted) Cluster analysis applied to fuel price data in Campina Grande
DOI:
https://doi.org/10.51359/2965-4661.2024.265075Keywords:
Cluster Analysis, K-means, fuel price, transport, Data AnalyticsAbstract
This work uses cluster analysis to analyze similarities in the prices of regular gasoline and ethanol in Campina Grande-PB, Brazil. This multivariate statistical technique groups similar elements into distinct clusters using the non-hierarchical method (k-means). The analysis reports three clusters: cluster 1 has the lowest prices, while cluster 3 has the highest. We report descriptive statistics and a discussion based on the empirical local context.
References
Campina Grande (2024). Pesquisa de combustíveis – outubro 2024. Procon Campina Grande. Disponível em:
https://procon.campinagrande.pb.gov.br/pesquisa-de-combustiveis-outubro-2024/. Acessado em 15/12/2024
Doni, M. V. (2004). Análise de cluster: métodos hierárquicos e de particionamento. Universidade Presbiteriana Mackenzie.
Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (1998). Multivariate data analysis. New Jersey, 5(3), 207-219.
Petróleo, G. N. e. B. Agência Nacional do. (2017). Cartilha do posto revendedor de combustíveis.
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Copyright (c) 2024 Richard Silva, Thaisa Azevedo, Hiago Martins, Lucas Cardoso Pereira
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