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Edited
Sep 23, 2024
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Line chart, multiple series
focus = Generators.input(chart) // or say viewof focus = chart…
chart = {
// Specify the chart’s dimensions.
const width = 928;
const height = 600;
const marginTop = 20;
const marginRight = 20;
const marginBottom = 30;
const marginLeft = 30;
// Create the positional scales.
const x = d3.scaleUtc()
.domain(d3.extent(unemployment, d => d.date))
.range([marginLeft, width - marginRight]);
const y = d3.scaleLinear()
.domain([0, d3.max(unemployment, d => d.unemployment)]).nice()
.range([height - marginBottom, marginTop]);
// Create the SVG container.
const svg = d3.create("svg")
.attr("width", width)
.attr("height", height)
.attr("viewBox", [0, 0, width, height])
.attr("style", "max-width: 100%; height: auto; overflow: visible; font: 10px sans-serif;");
// Add the horizontal axis.
svg.append("g")
.attr("transform", `translate(0,${height - marginBottom})`)
.call(d3.axisBottom(x).ticks(width / 80).tickSizeOuter(0));
// Add the vertical axis.
svg.append("g")
.attr("transform", `translate(${marginLeft},0)`)
.call(d3.axisLeft(y))
.call(g => g.select(".domain").remove())
.call(voronoi ? () => {} : g => g.selectAll(".tick line").clone()
.attr("x2", width - marginLeft - marginRight)
.attr("stroke-opacity", 0.1))
.call(g => g.append("text")
.attr("x", -marginLeft)
.attr("y", 10)
.attr("fill", "currentColor")
.attr("text-anchor", "start")
.text("↑ Unemployment (%)"));
// Compute the points in pixel space as [x, y, z], where z is the name of the series.
const points = unemployment.map((d) => [x(d.date), y(d.unemployment), d.division]);
// An optional Voronoi display (for fun).
if (voronoi) svg.append("path")
.attr("fill", "none")
.attr("stroke", "#ccc")
.attr("d", d3.Delaunay
.from(points)
.voronoi([0, 0, width, height])
.render());
// Group the points by series.
const groups = d3.rollup(points, v => Object.assign(v, {z: v[0][2]}), d => d[2]);
// Draw the lines.
const line = d3.line();
const path = svg.append("g")
.attr("fill", "none")
.attr("stroke", "steelblue")
.attr("stroke-width", 1.5)
.attr("stroke-linejoin", "round")
.attr("stroke-linecap", "round")
.selectAll("path")
.data(groups.values())
.join("path")
.style("mix-blend-mode", "multiply")
.attr("d", line);
// Add an invisible layer for the interactive tip.
const dot = svg.append("g")
.attr("display", "none");
dot.append("circle")
.attr("r", 2.5);
dot.append("text")
.attr("text-anchor", "middle")
.attr("y", -8);
svg
.on("pointerenter", pointerentered)
.on("pointermove", pointermoved)
.on("pointerleave", pointerleft)
.on("touchstart", event => event.preventDefault());
return svg.node();
// When the pointer moves, find the closest point, update the interactive tip, and highlight
// the corresponding line. Note: we don't actually use Voronoi here, since an exhaustive search
// is fast enough.
function pointermoved(event) {
const [xm, ym] = d3.pointer(event);
const i = d3.leastIndex(points, ([x, y]) => Math.hypot(x - xm, y - ym));
const [x, y, k] = points[i];
path.style("stroke", ({z}) => z === k ? null : "#ddd").filter(({z}) => z === k).raise();
dot.attr("transform", `translate(${x},${y})`);
dot.select("text").text(k);
svg.property("value", unemployment[i]).dispatch("input", {bubbles: true});
}
function pointerentered() {
path.style("mix-blend-mode", null).style("stroke", "#ddd");
dot.attr("display", null);
}
function pointerleft() {
path.style("mix-blend-mode", "multiply").style("stroke", null);
dot.attr("display", "none");
svg.node().value = null;
svg.dispatch("input", {bubbles: true});
}
}
unemployment = FileAttachment("bls-metro-unemployment.csv").csv({typed: true})
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.
