This is a great combination of rigorous research and great data visualisation.
As designers creating images to communicate complex ideas, we rationalize our processes, we bring objectivity to our craft, we want our clients to think that our decisions are based on reasoning. However, we should also defend our intuitions, our subjectivity. We should also defend pursuing beauty as it is one of our most powerful tools.
I like this approach to offering a design system. It seems less prescriptive than many:
Designed not as a rule set, but rather a toolbox, the Data Design Language includes a chart library, design guidelines, colour and typographic style specifications with usability guidance for internationalization (i18n) and accessibility (a11y), all reflecting our data design principles.
The design process in action in Victorian England:
Recognizing that few people actually read statistical tables, Nightingale and her team designed graphics to attract attention and engage readers in ways that other media could not. Their diagram designs evolved over two batches of publications, giving them opportunities to react to the efforts of other parties also jockeying for influence. These competitors buried stuffy graphic analysis inside thick books. In contrast, Nightingale packaged her charts in attractive slim folios, integrating diagrams with witty prose. Her charts were accessible and punchy. Instead of building complex arguments that required heavy work from the audience, she focused her narrative lens on specific claims. It was more than data visualization—it was data storytelling.
A fascinating four-part series by Lisa Charlotte Muth on colour in data visualisations:
The beautiful 19th century data visualisations of Emma Willard unfold in this immersive piece by Susan Schulten.
The World Wide Web is a mashup.