Building and Using Tools to See.
UVA Architecture + Data Science. IT Director. Instructor.
<div style="background: #ddf">
<svg width="500" height="200">
<circle r="80" cx="160" cy="80" fill="yellow"/> <!-- this is for background to show that these are actual holes through -->
<g>
<defs>
<mask id="hole">
<rect width="100%" height="100%" fill="white"/>
<circle r="50" cx="100" cy="100" fill="black"/>
</mask>
</defs>
<circle id="donut" r="100" cx="100" cy="100" mask="url(#hole)" fill="blue"/>
</g>
<g>
<defs>
<mask id="hole2">
<rect width="100%" height="100%" fill="white"/>
<circle r="70" cx="250" cy="120" fill="black"/>
</mask>
</defs>
<circle id="donut2" r="80" cx="250" cy="120" mask="url(#hole2)" fill="green"/>
</g>
</svg>
</div>
<svg width=800 height=300>
<g id="test"></g>
</svg>
testrings = d3.select(testringscont).select("#test") // the containing svg element to put this all in.
nums = [55,80,90,35,60,70,50] // some simple data to use to drvie the sizes.
rings = testrings.selectAll(".ringGroup")
.data(nums)
.join("g")
.attr("id", (d,i) => "ring"+i)
.attr("transform", (d,i) => "translate(" + i*100 + ",150)")
.classed("ringGroup",true);
rings.each((d,i,nodes) => {
dvRing(d3.select(nodes[i]),d,d-(Math.random()*50))
})
dvRing = (elem,outerRad,innerRad,options) => {
if (typeof(options) === "undefined") {options = {}}
if (typeof(options.fillColor) === "undefined") {options.fillColor = "steelblue"}
if (typeof(options.id) === "undefined") {options.id = "id" + Math.random()*100000}
let mask = elem.select("defs").node() ? elem.select("defs") : elem.append("defs").append("mask").attr("id","h_"+options.id);
mask.append("rect").attr("width", outerRad*2).attr("height", outerRad*2).attr("x", -outerRad).attr("y", -outerRad).attr("fill","white");
mask.append("circle").attr("r",innerRad).attr("fill","black");
let ring = elem.selectAll(".ring").node() ? elem.select(".ring") : elem.append("circle").classed("ring", true);
ring.attr("id", options.id)
.attr("r", outerRad)
.attr("mask", "url(#h_" + options.id + ")")
.attr("fill", options.fillColor)
.classed("ring",true);
return ring;
}
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.