chart = {
const svg = d3.create("svg")
.attr("viewBox", [0, 0, width, height]);
const path = svg.selectAll("path")
.data(randomize)
.join("path")
.attr("d", area)
.attr("fill", () => z(Math.random()));
while (true) {
yield svg.node();
await path
.data(randomize)
.transition()
.delay(1000)
.duration(1500)
.attr("d", area)
.end();
}
}
x = d3.scaleLinear([0, m - 1], [0, width])
y = d3.scaleLinear([0, 1], [height, 0])
z = d3.interpolateCool
area = d3.area()
.x((d, i) => x(i))
.y0(d => y(d[0]))
.y1(d => y(d[1]))
stack = d3.stack()
.keys(d3.range(n))
.offset(offset)
.order(d3.stackOrderNone)
height = 500
n = 20 // number of layers
m = 200 // number of samples per layer
k = 10 // number of bumps per layer
function randomize() {
const layers = stack(d3.transpose(Array.from({length: n}, () => bumps(m, k))));
y.domain([
d3.min(layers, l => d3.min(l, d => d[0])),
d3.max(layers, l => d3.max(l, d => d[1]))
]);
return layers;
}
bumps = {
// Inspired by Lee Byron’s test data generator.
function bump(a, n) {
const x = 1 / (0.1 + Math.random());
const y = 2 * Math.random() - 0.5;
const z = 10 / (0.1 + Math.random());
for (let i = 0; i < n; ++i) {
const w = (i / n - y) * z;
a[i] += x * Math.exp(-w * w);
}
}
return function bumps(n, m) {
const a = [];
for (let i = 0; i < n; ++i) a[i] = 0;
for (let i = 0; i < m; ++i) bump(a, n);
return a;
};
}
d3 = require("d3@5")
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.