Public
Edited
Feb 25, 2024
Fork of Untitled
Insert cell
Insert cell
Insert cell
svg = html`<svg height="${height}" id="lines"></svg>`
Insert cell
curve = d3.curveMonotoneX
Insert cell
{
let prevscroll = 0;
addEventListener("scroll", (e) => {
console.log(e);
});
}
Insert cell
j = {
f();
const line = d3
.line()
.x(([x, y]) => x)
.y(([x, y]) => y)
.curve(curve);
const li = d3
.select("#lines")
.on("mousemove", function ({ x, y }) {
let ss = height / (height - (y - 70));
d3.select(this)
.selectAll("path")
.style("stroke-dashoffset", function (d) {
return d3.select(this).node().getTotalLength() / ss;
});
})
.selectAll("path")
.data(data2);
li.enter()
.append("path")
.attr("fill", "none")
.attr("stroke-width", "2")
.attr("stroke", (_, i) => colors[i])
.merge(li)
.attr("d", line)
.style("stroke-dasharray", function (d) {
return d3.select(this).node().getTotalLength();
})
.style("stroke-dashoffset", function (d) {
return 0;
})
.transition()
.ease(d3.easeLinear)
.duration(200)
.style();
//f();
}
Insert cell
colors = ["#795548ca", "#767948ca", "#392e13ca", "#a92e13ca"]
Insert cell
f = () => {
// setTimeout(() => {
// go();
// }, 200);
}
Insert cell
g = () => {
// f();
}
Insert cell
mutable data = [[[10,0],[30.32969926898278,15],[21.807021454676978,30],[14.9985425246221,45]],[[20,0],[10.006568939417399,15],[30.04735406287494,30],[21.44519241648385,45]],[[30,0],[23.472552675485172,15],[11.222471223439488,30],[31.11293885603404,45]]]
Insert cell
JSON.stringify(data)
Insert cell
mutable step = 4
Insert cell
go = () => {
mutable step = step + 1;
mutable data = data.map((d) => {
let last = d[d.length - 1][0];
let r1 = Math.random() * 3;
let x = last < 15 ? 30 : last <= 25 ? 10 : 20;
return [...d, [x + r1, step * 15]];
});
}
Insert cell
data2 = [0, 1, 2, 3].map((j) =>
d3.range(steps).map((d, i, o) => {
let r1 = Math.random() * 3;
return [10 + ((i + j) % 4) * 10 + r1, i * 20];
})
)
Insert cell
height = 1500
Insert cell
steps = height / 20
Insert cell

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.
Learn more