Most attention in data visualisation focuses on its role as a means of communicating data to others. However, this only represents one side of the coin. The other key purpose of visualisation is to help us, as analysts, explore data. Visuals help supplement statistical analysis, offering techniques that can help us thoroughly interrogate data to unearth insights and qualities that may otherwise be hidden from view.

As mathematician John Tukey once described, ‘Exploratory data analysis (EDA) is an attitude, a flexibility, and a reliance on display, not a bundle of techniques.’. There is no single path to undertaking this activity effectively; it requires a number of different technical, practical and conceptual capabilities

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