Public
Edited
Jan 25, 2023
15 forks
Importers
21 stars
margin = ({top:20, right:30, bottom:30, left:40})
x = d3.scaleTime()
.domain(d3.extent(data, d => d.date))
.range([margin.left, width - margin.right])
y = d3.scaleLinear()
.domain([0, d3.max(data, d=> d.value)]).nice()
.range([height - margin.bottom, margin.top])
xAxis = (g) =>
g.attr("transform", `translate(0,${height - margin.bottom})`).call(
d3
.axisBottom(x)
.ticks(width / 80)
.tickSizeOuter(0)
)
yAxis = g => g
.attr("transform", `translate(${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.value))
.x(d => x(d.date))
.y(d => y(d.value))
function transition(path) {
path.transition()
.duration(7500)
.attrTween("stroke-dasharray", tweenDash)
.on("end", () => { d3.select(this).call(transition); });
}
function tweenDash() {
const l = this.getTotalLength(),
i = d3.interpolateString("0," + l, l + "," + l);
return function(t) { return i(t) };
}
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.
