Cluster analysis applied to fuel price data in Campina Grande
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...
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Language: | English |
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Universidade Federal de Pernambuco (UFPE)
2024-12-01
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Series: | Socioeconomic Analytics |
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Online Access: | https://periodicos.ufpe.br/revistas/index.php/SECAN/article/view/265075 |
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author | Richard Silva Thaisa Azevedo Hiago Martins Lucas Cardoso Pereira |
author_facet | Richard Silva Thaisa Azevedo Hiago Martins Lucas Cardoso Pereira |
author_sort | Richard Silva |
collection | DOAJ |
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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.
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format | Article |
id | doaj-art-062ac6d464dd403f8ed41d6de0b4b1ed |
institution | Kabale University |
issn | 2965-4661 |
language | English |
publishDate | 2024-12-01 |
publisher | Universidade Federal de Pernambuco (UFPE) |
record_format | Article |
series | Socioeconomic Analytics |
spelling | doaj-art-062ac6d464dd403f8ed41d6de0b4b1ed2025-02-07T17:46:06ZengUniversidade Federal de Pernambuco (UFPE)Socioeconomic Analytics2965-46612024-12-012110.51359/2965-4661.2024.265075Cluster analysis applied to fuel price data in Campina GrandeRichard Silva0https://orcid.org/0009-0009-9718-9439Thaisa Azevedo1https://orcid.org/0009-0008-7018-6492Hiago Martins2https://orcid.org/0000-0002-9843-8259Lucas Cardoso Pereira3https://orcid.org/0000-0002-4790-6243State University of ParaíbaState University of ParaíbaState University of ParaíbaState University of Paraíba 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. https://periodicos.ufpe.br/revistas/index.php/SECAN/article/view/265075Cluster AnalysisK-meansfuel pricetransportData Analytics |
spellingShingle | Richard Silva Thaisa Azevedo Hiago Martins Lucas Cardoso Pereira Cluster analysis applied to fuel price data in Campina Grande Socioeconomic Analytics Cluster Analysis K-means fuel price transport Data Analytics |
title | Cluster analysis applied to fuel price data in Campina Grande |
title_full | Cluster analysis applied to fuel price data in Campina Grande |
title_fullStr | Cluster analysis applied to fuel price data in Campina Grande |
title_full_unstemmed | Cluster analysis applied to fuel price data in Campina Grande |
title_short | Cluster analysis applied to fuel price data in Campina Grande |
title_sort | cluster analysis applied to fuel price data in campina grande |
topic | Cluster Analysis K-means fuel price transport Data Analytics |
url | https://periodicos.ufpe.br/revistas/index.php/SECAN/article/view/265075 |
work_keys_str_mv | AT richardsilva clusteranalysisappliedtofuelpricedataincampinagrande AT thaisaazevedo clusteranalysisappliedtofuelpricedataincampinagrande AT hiagomartins clusteranalysisappliedtofuelpricedataincampinagrande AT lucascardosopereira clusteranalysisappliedtofuelpricedataincampinagrande |