Published
Edited
Jun 11, 2020
3 forks
2 stars
md`# Force directed graph
This graph is generated using d3 spring layout package and customized for first 50 nodes from the facebook snap dataset provided in the assignement. The node weights are the # of links of the node and the size varies by the weight. The color of each node is also assigned my the weight of the nodes using d3 scaleOrdinal.
`
chart = {
const links = l.map(d => Object.create(d));
const nodes = n.nodes.map(d => Object.create(d));
const nn = nodes.map(n => {
const red = d3.randomInt(1, 256)();
const green = d3.randomInt(1, 256)();
const blue = d3.randomInt(1, 256)();
const alpha = Math.random();
return {
color: d3.rgb(red, green, blue, alpha)
};
});
var div = d3.select("body").append("div")
.attr("class", "tooltip")
.style("opacity", 0);
const gethtml = (id, links) => {
return `<div>node: ${id}</div> <div>links: ${links}</div>`;
}
const simulation = d3.forceSimulation(nodes)
.force("link", d3.forceLink(links).id(d => d.id))
.force("charge", d3.forceManyBody())
.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")
.attr("stroke-width", d => Math.sqrt(d.value));
const node = svg.append("g")
.attr("stroke", "#fff")
.attr("stroke-width", 1.5)
.selectAll("circle")
.data(nodes)
.join("circle")
.attr("r", d => Math.sqrt(d.weight)+1)
.attr("fill", d => color(d))
.on('mouseover', function (d, i) {
d3.select(this).transition()
.duration('50')
.attr('opacity', '.85');
div.transition()
.duration(50)
.style("opacity", 1);
let num = 50;
div.html(gethtml(d.id,d.weight))
.style("left", (d3.event.pageX + 10) + "px")
.style("top", (d3.event.pageY - 15) + "px");
})
.on('mouseout', function (d, i) {
d3.select(this).transition()
.duration('50')
.attr('opacity', '1');
div.transition()
.duration('50')
.style("opacity", 0);
})
.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();
}
l=FileAttachment("links@3.json").json()
n=FileAttachment("network@6.json").json()
style = html`<style>
div.tooltip {
position: absolute;
text-align: center;
padding: .5rem;
background: #FFFFFF;
color: #313639;
border: 1px solid #313639;
border-radius: 8px;
pointer-events: none;
font-size: 1.3rem;
}
</style>`
height=600
color = {
const scale = d3.scaleOrdinal(d3.schemeCategory10);
return d => scale(Math.sqrt(d.weight));
}
drag = simulation => {
function dragstarted(d) {
if (!d3.event.active) simulation.alphaTarget(0.3).restart();
d.fx = d.x;
d.fy = d.y;
}
function dragged(d) {
d.fx = d3.event.x;
d.fy = d3.event.y;
}
function dragended(d) {
if (!d3.event.active) simulation.alphaTarget(0);
d.fx = null;
d.fy = null;
}
return d3.drag()
.on("start", dragstarted)
.on("drag", dragged)
.on("end", dragended);
}
d3 = require("d3@5", 'd3-random')
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.
