Revisiting John Snow's Cholera Map: A Data Visualisation Case Study for Statistical Education
Fuente:
arXiv
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| Formato: | Preprint |
| Publicado: |
2025
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| Acceso en línea: | |
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| _version_ | 1866916696591171584 |
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| author | Mimnagh, Niamh |
| author_facet | Mimnagh, Niamh |
| contents | Data visualisation is a fundamental tool in statistical analysis, enabling the identification of patterns and relationships that might otherwise remain hidden in raw data. One of the most famous historical examples is John Snow's 1854 cholera map, which demonstrated the spatial clustering of cholera cases around a contaminated water pump in London. This study explores how Snow's visualisation can be effectively incorporated into statistics education as an interactive case study. Using R, we outline the steps involved in reproducing Snow's cholera map, demonstrating geospatial data manipulation, visualisation techniques, and spatial analysis. We discuss the pedagogical benefits of historical case studies in statistics courses, emphasising their role in fostering curiosity, critical thinking, and technical proficiency. Additionally, we explore how these methods can be extended beyond epidemiology to applications in public health, urban analytics and environmental science. By integrating historical datasets with modern computational tools, educators can create engaging, hands-on learning experiences that reinforce core statistical principles while illustrating the real-world impact of data analysis. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_13970 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Revisiting John Snow's Cholera Map: A Data Visualisation Case Study for Statistical Education Mimnagh, Niamh Methodology Data visualisation is a fundamental tool in statistical analysis, enabling the identification of patterns and relationships that might otherwise remain hidden in raw data. One of the most famous historical examples is John Snow's 1854 cholera map, which demonstrated the spatial clustering of cholera cases around a contaminated water pump in London. This study explores how Snow's visualisation can be effectively incorporated into statistics education as an interactive case study. Using R, we outline the steps involved in reproducing Snow's cholera map, demonstrating geospatial data manipulation, visualisation techniques, and spatial analysis. We discuss the pedagogical benefits of historical case studies in statistics courses, emphasising their role in fostering curiosity, critical thinking, and technical proficiency. Additionally, we explore how these methods can be extended beyond epidemiology to applications in public health, urban analytics and environmental science. By integrating historical datasets with modern computational tools, educators can create engaging, hands-on learning experiences that reinforce core statistical principles while illustrating the real-world impact of data analysis. |
| title | Revisiting John Snow's Cholera Map: A Data Visualisation Case Study for Statistical Education |
| topic | Methodology |
| url | https://arxiv.org/abs/2504.13970 |