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Quantifying the Outbreak: Analysing the 1854 Data
In this post, we delve into the numbers behind John Snow’s 1854 map, using modern analytical tools to explore the data, validate Snow’s conclusions, and reveal new insights into one of history’s most famous outbreaks. Continue reading
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Post-Hoc Tests: Understanding the Tools to Control Type I Error
When performing statistical analyses, particularly in the context of ANOVA (Analysis of Variance), researchers are often faced with the question: “Which groups are significantly different from each other?” While ANOVA tells us if there is a significant difference somewhere among the group means, it does not specify where these differences lie. This is where post-hoc… Continue reading
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Plotting the Past: The 1854 Cholera Outbreak Visualised in R
In a previous post, we examined how to digitise the original cholera map using QGIS, georeferencing the historic image. In this post, we will revisit John Snow’s historic map and recreate it using modern tools in R, showcasing both the historical significance and the capabilities of contemporary data science. Continue reading
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How Statistics Are Used in Everyday Life: From Advertising to Zoning Laws.
Whether you’re deciding what to wear based on the weather forecast, choosing a healthcare treatment, or even binge-watching your favourite shows, statistics is quietly working its magic. Let’s dive into some fun, real-world examples of how statistics shape our decisions and keep the world spinning. Continue reading
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Simplifying Statistics 
