Building and Using Tools to See.
UVA Architecture + Data Science. IT Director. Instructor.
Plot.plot({
projection: {
//type: "equal-earth", // this can be set static like this
type: form.projection, // or dynamic like this, referencing the form dropdown above.
rotate: [-form.lon, -form.lat], // set from form elements above
domain: d3.geoCircle().center([form.lon, form.lat]).radius(form.scale)()
},
width,
marks: [
Plot.geo(world110m, { fill: "#ddd", stroke: "#bbb"}),
Plot.geo(usstates, { stroke: "#ccc" }),
Plot.geo(cvilleBounds, { stroke: "blue" }), // it's in there, just small on the world scale
Plot.graticule(),
Plot.sphere( {stroke: "#ddd"} )
]
})
import {basemaps} from "@emfielduva/dvlib_maps"
world110m = (await basemaps.world110m.geojson).json()
usstates = (await basemaps.us_states20m.geojson).json()
cvilleBounds = d3.json("https://opendata.arcgis.com/datasets/c371ad0b81024822bad1147ff6bb24c4_51.geojson")
One platform to build and deploy the best data apps
Experiment and prototype by building visualizations in live JavaScript notebooks. Collaborate with your team and decide which concepts to build out.
Use Observable Framework to build data apps locally. Use data loaders to build in any language or library, including Python, SQL, and R.
Seamlessly deploy to Observable. Test before you ship, use automatic deploy-on-commit, and ensure your projects are always up-to-date.