chart = {
const links = data.links.map(d => Object.create(d));
const nodes = data.nodes.map(d => Object.create(d));
var radius = d3.scaleLinear()
.domain(d3.extent(nodes.map(n=>n.n)))
.range([2, 50]);
const chargeForce = d3
.forceManyBody()
.distanceMin(10)
.distanceMax(1000)
.strength(d => -300);
const simulation = d3.forceSimulation(nodes)
.force("link", d3.forceLink(links).id(d => d.id))
.force("charge", chargeForce)
.force("center", d3.forceCenter(width / 2, height / 2));
const svg = d3.create("svg")
.attr("viewBox", [0, 0, width, height]);
const link = svg.append("g")
.attr("stroke", "#999")
.attr("stroke-opacity", 0.6)
.selectAll("line")
.data(links)
.join("line")
;
const node = svg.append("g")
.attr("stroke", "#fff")
.attr("stroke-width", 1.5)
.selectAll("circle")
.data(nodes)
.join("circle")
.attr("r", d => radius(d.n))
.attr("fill", color)
.call(drag(simulation));
node.append("title")
.text(d => d.id);
simulation.on("tick", () => {
link
.attr("x1", d => d.source.x)
.attr("y1", d => d.source.y)
.attr("x2", d => d.target.x)
.attr("y2", d => d.target.y);
node
.attr("cx", d => d.x)
.attr("cy", d => d.y);
});
invalidation.then(() => simulation.stop());
return svg.node();
}
nodes = Object.keys(nodeIndex).map((id) => ({
id,
n: parsedData.reduce((a, r) => {
if (r.OtherComputer === id) {
a++;
}
return a;
}, 0),
}))
links = parsedData.reduce((a, r) => {
if (nodeIndex[r.Computer] && nodeIndex[r.OtherComputer]) {
a.push({ source: r.Computer, target: r.OtherComputer });
}
return a;
}, []);
Purpose-built for displays of data
Observable is your go-to platform for exploring data and creating expressive data visualizations. Use reactive JavaScript notebooks for prototyping and a collaborative canvas for visual data exploration and dashboard creation.
