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Published
Edited
Oct 27, 2019
1 star
md`Quick and dirty fork of multi-line chart to support numeric vales in x axis.`
chart = {
const svg = d3.create("svg").attr("viewBox", [0, 0, width, height]);
svg.append("g").call(xAxis);
svg.append("g").call(yAxis);
const path = svg
.append("g")
.attr("fill", "none")
.attr("stroke", "steelblue")
.attr("stroke-width", 1.5)
.attr("stroke-opacity", .5)
.attr("stroke-linejoin", "round")
.attr("stroke-linecap", "round")
.selectAll("path")
.data(data.series)
.join("path")
.style("mix-blend-mode", "multiply")
.attr("d", d => line(d.values));
svg.call(hover, path);
return svg.node();
}
function hover(svg, path) {
svg.style("position", "relative");
if ("ontouchstart" in document)
svg
.style("-webkit-tap-highlight-color", "transparent")
.on("touchmove", moved)
.on("touchstart", entered)
.on("touchend", left);
else
svg
.on("mousemove", moved)
.on("mouseenter", entered)
.on("mouseleave", left);
const dot = svg.append("g").attr("display", "none");
dot.append("circle").attr("r", 2.5);
dot
.append("text")
.style("font", "10px sans-serif")
.attr("text-anchor", "middle")
.attr("y", -8);
function moved() {
d3.event.preventDefault();
const ym = y.invert(d3.event.layerY);
const xm = x.invert(d3.event.layerX);
const i1 = Math.floor(xm);
const i0 = i1 - 1;
const i = i1;
const s = data.series.reduce((a, b) =>
Math.abs(a.values[i] - ym) < Math.abs(b.values[i] - ym) ? a : b
);
path
.attr("stroke", d => (d === s ? null : "#ddd"))
.filter(d => d === s)
.raise();
dot.attr("transform", `translate(${x(i)},${y(s.values[i])})`);
dot.select("text").text(s.name);
}
function entered() {
path.style("mix-blend-mode", null).attr("stroke", "#ddd");
dot.attr("display", null);
}
function left() {
path.style("mix-blend-mode", "multiply").attr("stroke", null);
dot.attr("display", "none");
}
}
height = 600
margin = ({top: 20, right: 20, bottom: 30, left: 30})
x = d3
.scaleLinear()
.domain([0, data.series[0].values.length])
.range([margin.left, width - margin.right])
y = d3.scaleLinear()
.domain([0, d3.max(data.series, d => d3.max(d.values))]).nice()
.range([height - margin.bottom, margin.top])
xAxis = g =>
g
.attr("transform", `translate(0,${height - margin.bottom})`)
.call(
d3
.axisBottom(x)
.ticks(width / 80)
.tickSizeOuter(0)
)
.call(g =>
g
.select(".tick:last-of-type text")
.clone()
.attr("dy", "2em")
.attr("text-anchor", "end")
.attr("font-weight", "bold")
.text(data.x)
)
yAxis = g => g
.attr("transform", `translate(${margin.left},0)`)
.call(d3.axisLeft(y))
.call(g => g.select(".domain").remove())
.call(g => g.select(".tick:last-of-type text").clone()
.attr("x", 3)
.attr("text-anchor", "start")
.attr("font-weight", "bold")
.text(data.y))
line = d3
.line()
.defined(d => !isNaN(d))
.x((d, i) => x(i))
.y(d => y(d))
data = {
const data = await d3.tsv(
"https://gist.githubusercontent.com/mbostock/8033015/raw/01e8225d4a65aca6c759fe4b8c77179f446c5815/unemployment.tsv",
(d, i, columns) => {
return {
name: d.name.replace(/, ([\w-]+).*/, " $1"),
values: columns.slice(1).map(k => +d[k])
};
}
);
return {
y: "% Unemployment",
series: data,
x: "number"
};
}
d3 = require("d3@5")
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.
