A list of websites I like

Jun 2023

Ongoing list of websites with cool data visualizations:

• Stripe press: stunning visuals and web design
• Zoonomia project: such an incredibly cool project
• Quantum country: my favourite learning resource in quantum computing, a “mnemonic textbook”; generally very well designed with clean visuals
• Paper preprint similarity search: cool word/graphical representations of paper similarity
• Connected papers: roam-esque paper similarity search, nicely designed
• Histography: self updating website that pulls from Wikipedia to give an interactive timeline of 14 billion years of history, insane!!
• History of philosophy: interactive visualization that maps out agreements and refutations
• Museum of the world: scrollable timeline across the continents, with historical artifacts highlighted, from the British Museum (I am generally not the biggest fan of museums because I prefer to see artifacts in their original context/environment but if there was ever an IRL museum with an AR experience like this, I would visit and revisit)
• The Pudding: phenomenal visual journalism about “ideas debated in culture”
• Eyes on asteroids: thousands of asteroids and comets in real-time and past/present/future missions to them from NASA
• Health inclusivity index: data from 40 countries analyzed/visualized by the Economist
• Codeology: analyzes GitHub projects and creates an “unique organic form” based on codebase size and language
• Flag stories: cool breakdown about visual elements used in flags
• Bird sounds: interactive visualization of thousands of bird sounds from AI experiments with Google
• New York Public Library: massive dataset of 187K digital items in the public domain available for high resolution download, visualized
• Evolution of trust: game theory made into a game (no pun intended), with cute illustrations and historical examples
• Gravitational waves: every gravitational wave detected from 2015 to 2021
• NYC street trees: well designed visualization that breaks down NYC’s street tree populations into % composition and species