Here’s a sequence of sound wave primers by Dylan Freedman: https://observablehq.com/@freedmand/sounds
Mike wrote an exploration of the Lotka-Volterra equations for simulating the dynamics of populations of predators and prey: https://observablehq.com/@mbostock/predator-and-prey
Or something physical, like Jacob Rus figuring out how a chunk of metal from a machinist’s workshop can scribe out a perfect sine curve: https://observablehq.com/@jrus/sinebar
Or something fun, with Krist Wongsuphasawat’s tapioca pearl to tea level Boba Calculator: https://observablehq.com/@kristw/boba-science
Or my personal favorite (although I can't view it in Chrome), Toph Tucker’s poignant reverie on correlation, eugenics, and the morality of applying statistics to human affairs: https://observablehq.com/@tophtucker/inferring-chart-type-fr...
[1] - https://idyll-lang.org/
(b) This tool is useful in a wide variety of fields that are not statistics- or data-visualization-adjacent.
Personally I find it to be the best (most reader friendly) available platform for most types of code documentation and learning materials, as long as the code involved happens to be Javascript. I would also love to see more research papers published as notebooks.
Eh. Not entirely right. Many journalists, specifically those who work with data analysis and visualization, use Observable notebooks in their reporting. Other groups also use the notebooks for documentation purposes.
What would be fascinating to me is if these tools made it significantly easier to make "Explorable Explanations" (nicky case, bret victor).
I love the Raft visualization (https://raft.github.io/) and would be ecstatic to see more stuff like that surfacing around, making it easier to grok sophisticated distributed systems. Next logical step would be to actually control said systems from the visualization itself.