A fascinating read that underscores the importance of visualizing data instead of relying solely on summary statistics. This article explains classic examples like Anscombe’s Quartet and the “Datasaurus Dozen” – a collection of different datasets (including one shaped like a dinosaur) that all share the same statistical summaries but look very different when graphed. Through these examples, the article drives home how critical it is for analysts to plot their data, revealing patterns, outliers, or relationships that raw numbers and averages can hide.
A fascinating read that underscores the importance of visualizing data instead of relying solely on summary statistics. This article explains classic examples like Anscombe’s Quartet and the “Datasaurus Dozen” – a collection of different datasets (including one shaped like a dinosaur) that all share the same statistical summaries but look very different when graphed. Through these examples, the article drives home how critical it is for analysts to plot their data, revealing patterns, outliers, or relationships that raw numbers and averages can hide.
