Space Elevator
Scroll up to the Kármán line.
Scroll up to the Kármán line.
A lovely bit of real-time data visualisation from Robin:
It’s a personal project created at home in Wales with an aim to explore and visualise renewable energy systems. Specifically, it aims to visualise live generation from renewable energy systems around Great Britain and to show where that generation is physically coming from.
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.
This is a story about pizza and geometry.
The interactive widget here really demonstrates the difference between showing and telling.
City of Women encourages Londoners to take a second glance at places we might once have taken for granted by reimagining the iconic Underground map.
I love everything about this …except that there’s no Rosalind Franklin station.
A fascinating four-part series by Lisa Charlotte Muth on colour in data visualisations:
This is a great combination of rigorous research and great data visualisation.
Download this PDF to see 100 beautiful literary visualisations.
The next best thing to having Kurt Vonnegut at the blackboard.
Visualising the growth of the internet.
A beautiful interactive visualisation of every paper published in Nature.
There are some beautiful illustrations in this online exhibition of data visualisation in the past few hundred years.
A lovely visualisation of asteroids in our solar system.
A handy tool for getting an overview of your site’s CSS:
CSS Stats provides analytics and visualizations for your stylesheets. This information can be used to improve consistency in your design, track performance of your app, and diagnose complex areas before it snowballs out of control.
What you see is the big map of a sea of literature, one where each island represents a single author, and each city represents a book. The map represents a selection of 113 008 authors and 145 162 books.
This is a poetic experiment where we hope you will get lost for a while.
A timeline showing the history of non-digital dataviz.
A really lovely unmonetisable enthusiasm:
All 2,242 illustrations from James Sowerby’s compendium of knowledge about mineralogy in Great Britain and beyond, drawn 1802–1817 and arranged by color.
You can dive in and explore or read more about the project and how it was made.
It reminds me of Paul’s project, Bradshaw’s Guide: the both take a beloved artifact of the past and bring it online with care, love, and respect.
I must admit I’ve been wincing a little every time I see a graph with a logarithmic scale in a news article about COVID-19. It takes quite a bit of cognitive work to translate to a linear scale and get the real story.
The beautiful 19th century data visualisations of Emma Willard unfold in this immersive piece by Susan Schulten.