Public
Edited
Apr 2, 2021
Importers
1 star
hcChart({ data: testingData, scheme, overlap })
function hcChart(opts) {
const { height = 600, overlap = 9, scheme = "schemeBlues", data } = opts;
const margin = { top: 30, right: 10, bottom: 0, left: 10 };
const step = 23;
const color = i =>
d3[scheme][Math.max(3, overlap)][i + Math.max(0, 3 - overlap)];
const x = d3
.scaleUtc()
.domain(d3.extent(data.dates))
.range([0, width]);
const y = d3
.scaleLinear()
.domain([0, d3.max(data.series, d => d3.max(d.values))])
.range([0, -overlap * step]);
const xAxis = g =>
g
.attr("transform", `translate(0,${margin.top})`)
.call(
d3
.axisTop(x)
.ticks(width / 80)
.tickSizeOuter(0)
)
.call(g =>
g
.selectAll(".tick")
.filter(d => x(d) < margin.left || x(d) >= width - margin.right)
.remove()
)
.call(g => g.select(".domain").remove());
const area = d3
.area()
.curve(d3.curveBasis)
.defined(d => !isNaN(d))
.x((d, i) => x(data.dates[i]))
.y0(0)
.y1(d => y(d));
const svg = d3
.create("svg")
.attr("viewBox", [0, 0, width, height])
.style("font", "10px sans-serif");
const g = svg
.append("g")
.selectAll("g")
.data(
data.series.map(d =>
Object.assign(
{
clipId: DOM.uid("clip"),
pathId: DOM.uid("path")
},
d
)
)
)
.join("g")
.attr("transform", (d, i) => `translate(0,${i * (step + 1) + margin.top})`);
g.append("clipPath")
.attr("id", d => d.clipId.id)
.append("rect")
.attr("width", width)
.attr("height", step);
g.append("defs")
.append("path")
.attr("id", d => d.pathId.id)
.attr("d", d => area(d.values));
g.append("g")
.attr("clip-path", d => d.clipId)
.selectAll("use")
.data(d => new Array(overlap).fill(d))
.join("use")
.attr("fill", (d, i) => color(i))
.attr("transform", (d, i) => `translate(0,${(i + 1) * step})`)
.attr("xlink:href", d => d.pathId.href);
g.append("text")
.attr("x", 4)
.attr("y", step / 2)
.attr("dy", "0.35em")
.text(d => d.name);
svg.append("g").call(xAxis);
return svg.node();
}
data.series[0]
d3 = require("d3@6")
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.
