Published
Edited
May 19, 2021
1 fork
4 stars
sampleData = [{where: "NORTH AMERICA", pop: 590e6, doses:325e6},
{where: "SOUTH AMERICA", pop: 430e6, doses:96e6},
{where: "EUROPE", pop: 749e6, doses:294e6},
{where: "AFRICA", pop: 1.34e9, doses:25e6},
{where: "MIDDLE EAST", pop: 420e6, doses:71e6},
{where: "RUSSIA", pop: 150e6, doses:24e6},
{where: "ASIA", pop: 4.64e9, doses:758e6}]
rScale = d3.scaleSqrt()
.domain([0, d3.max(sampleData.map(x => x.pop))])
.range([0, 130]) // i dunno... let's make the biggest circle this big? 🤷
{
const height = width*9/16;
const svg = d3.create("svg").attr("viewBox", [0, 0, width, height]).style("background","#ffffff");
const data = JSON.parse(JSON.stringify(sampleData)); // just so i don't taint the original manual data
const simulation = d3.forceSimulation(data)
.force("x", d3.forceX())
.force("y", d3.forceY())
.force("center", d3.forceCenter())
.force("collide", d3.forceCollide(d=>(rScale(d.pop))))
.tick(1000);
var groups = svg.selectAll(".locations")
.data(data)
.enter()
.append("g")
.attr("transform", d => "translate("+(width/2+d.x)+","+(height/2+d.y)+")")
.attr("class","locations");
groups.append("circle")
.attr("cx", d => 0)
.attr("cy", d => 0)
.attr("r", d => rScale(d.pop))
.attr("fill", "none")
.attr("stroke", "#0984e3")
.attr("stroke-width", 1.5);
groups.append("circle")
.attr("cx", d => 0)
.attr("cy", d => rScale(d.pop)-rScale(d.doses)) // <--- this is the main trick
.attr("r", d => rScale(d.doses))
.attr("fill", "#ff7675")
.attr("stroke", "none");
return svg.node();
}
sampleData2 = [{where: "NORTH AMERICA", pop: 590e6, doses:325e6, X0:-10, Y0:-5},
{where: "SOUTH AMERICA", pop: 430e6, doses:96e6, X0:-10, Y0:5},
{where: "EUROPE", pop: 749e6, doses:294e6, X0:0, Y0:-20},
{where: "AFRICA", pop: 1.34e9, doses:25e6, X0:0, Y0:10},
{where: "MIDDLE EAST", pop: 420e6, doses:71e6, X0:10, Y0:-15},
{where: "RUSSIA", pop: 150e6, doses:24e6, X0:20, Y0:-20},
{where: "ASIA", pop: 4.64e9, doses:758e6, X0:20, Y0:0}]
{
const height = width*9/16;
const svg = d3.create("svg").attr("viewBox", [0, 0, width, height]).style("background","#ffffff");
const data = JSON.parse(JSON.stringify(sampleData2)); // just so i don't taint the original manual data
const simulation = d3.forceSimulation(data)
.force("x", d3.forceX().x(d => 9*d.X0)) // super dumb and manually tuned
.force("y", d3.forceY().y(d => 6*d.Y0))
.force("center", d3.forceCenter())
.force("collide", d3.forceCollide(d=>(rScale(d.pop))))
.tick(5000);
var groups = svg.selectAll(".locations")
.data(data)
.enter()
.append("g")
.attr("transform", d => "translate("+(width/2+d.x)+","+(height/2+d.y)+")")
.attr("class","locations");
groups.append("circle")
.attr("cx", d => 0)
.attr("cy", d => 0)
.attr("r", d => rScale(d.pop))
.attr("fill", "none")
.attr("stroke", "#0984e3")
.attr("stroke-width", 1.5);
groups.append("circle")
.attr("cx", d => 0)
.attr("cy", d => rScale(d.pop)-rScale(d.doses)) // <--- this is the main trick
.attr("r", d => rScale(d.doses))
.attr("fill", "#ff7675")
.attr("stroke", "none");
groups.append("text")
.attr("x", d => 0)
.attr("y", d => 0)
.text(d => d.where)
.attr("font-size", 10)
.attr("text-anchor", "middle");
return svg.node();
}
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.