1 dataset. 100 visualizations.
The same small dataset visualised in a hundred different ways, with notes on the strengths and weaknesses of each one.
Which color scale to use when visualizing data - Datawrapper Blog
A fascinating four-part series by Lisa Charlotte Muth on colour in data visualisations:
Related links
DOC • The power of beauty in communicating complex ideas
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.
Data Design Language
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.
Figures in the Stars
A lovely bit of data visualisation from Nadieh showing the differences and commonalities in constellations across cultures. As always, she’s written up the process too.
Astronomical Typography
Typography meets astronomy in 16th century books like the Astronomicum Caesareum.
It is arguably the most typographically impressive scientific manual of the sixteenth century. Owen Gingerich claimed it, “the most spectacular contribution of the book-maker’s art to sixteenth-century science.”