Published
Edited
Dec 17, 2020
3 forks
6 stars
md`# D3-force beeswarm of mobility`
height = 600
width = 950
chart = {
const svg = d3.create("svg")
.attr("height", height)
.attr("width", width)
const max_pop = d3.max(mobility_data, d => d.pop)
const data = mobility_data.filter(d => d.in_lockdown === "TRUE")
const xScale = d3.scaleLinear().domain([-1, 0]).range([0, width]).clamp(true)
const rScale = d3.scaleSqrt().domain([0, max_pop]).range([0, 8])
const force = d3.forceSimulation(data)
.force('forceX', d3.forceX(d => xScale(d.pct_change)).strength(2))
.force('forceY', d3.forceY(height/2).strength(0.1))
.force('collide', d3.forceCollide(d => rScale(d.pop) + 0.5))
.stop();
const NUM_ITERATIONS = 300;
for (let i = 0; i < NUM_ITERATIONS; ++i) {
force.tick();
};
force.stop();
svg.selectAll("circle")
.data(data)
.enter()
.append("circle")
.attr("cx", d => d.x)
.attr("cy", d => d.y)
.attr("r", d => rScale(d.pop))
.style("fill", "#bdbdbd");
svg.append("g")
.call(d3.axisTop(xScale))
.style("transform", `translateY(${height*0.75}px`)
return svg.node();
}
html`<style>svg { overflow: visible; }</style>`
mobility_data = d3.csv("https://static01.nyt.com/newsgraphics/2020/03/27/coronavirus-behavior-int/d08526cd59a705b40c03e9950174af4a5bb72835/pct_change_04_01.csv")
d3 = require("d3@5")
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