Building and Using Tools to See.
UVA Architecture + Data Science. IT Director. Instructor.
viz = d3.select(svgContainer) // the usual d3 select of the main SVG container
circles = viz.select("#circlesLayer").selectAll("circle") // randomly placed circles to have something to zoom
.data(d3.range(10))
.join("circle")
.attr("cx", () => 50 + Math.random() * 400)
.attr("cy", () => 50 + Math.random() * 200)
.attr("r", 20)
.style("fill", d => d3.schemeCategory10[d])
.style("stroke", "#777")
viz.call(d3.zoom() // the viz svg does the call (could also be a sub group)
.extent([[0,0],[500,300]])
.scaleExtent([1,20])
.on("zoom", zoomed));
function zoomed({transform}) {viz.select("#circlesLayer").attr("transform", transform).style("stroke-width", 1/transform.k);}
// the circlesLayer <g> gets the zoomed transform
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.