Public
Edited
Aug 1, 2023
56 forks
Importers
59 stars
chart = {
// Specify the chart’s dimensions.
const width = 928;
const height = 500;
const marginTop = 20;
const marginRight = 20;
const marginBottom = 30;
const marginLeft = 30;
// Create the horizontal and vertical scales.
const x = d3.scaleUtc()
.domain(d3.extent(data, d => d.date))
.range([marginLeft, width - marginRight]);
const y = d3.scaleLinear()
.domain([0, d3.max(data, d => d.value)]).nice()
.range([height - marginBottom, marginTop]);
// Create the horizontal axis generator, called at startup and when zooming.
const xAxis = (g, x) => g
.call(d3.axisBottom(x).ticks(width / 80).tickSizeOuter(0))
// The area generator, called at startup and when zooming.
const area = (data, x) => d3.area()
.curve(d3.curveStepAfter)
.x(d => x(d.date))
.y0(y(0))
.y1(d => y(d.value))
(data);
// Create the zoom behavior.
const zoom = d3.zoom()
.scaleExtent([1, 32])
.extent([[marginLeft, 0], [width - marginRight, height]])
.translateExtent([[marginLeft, -Infinity], [width - marginRight, Infinity]])
.on("zoom", zoomed);
// Create the SVG container.
const svg = d3.create("svg")
.attr("viewBox", [0, 0, width, height])
.attr("width", width)
.attr("height", height)
.attr("style", "max-width: 100%; height: auto;");
// Create a clip-path with a unique ID.
const clip = DOM.uid("clip");
svg.append("clipPath")
.attr("id", clip.id)
.append("rect")
.attr("x", marginLeft)
.attr("y", marginTop)
.attr("width", width - marginLeft - marginRight)
.attr("height", height - marginTop - marginBottom);
// Create the area.
const path = svg.append("path")
.attr("clip-path", clip)
.attr("fill", "steelblue")
.attr("d", area(data, x));
// Append the horizontal axis.
const gx = svg.append("g")
.attr("transform", `translate(0,${height - marginBottom})`)
.call(xAxis, x);
// Append the vertical axis.
svg.append("g")
.attr("transform", `translate(${marginLeft},0)`)
.call(d3.axisLeft(y).ticks(null, "s"))
.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("Flights"));
// When zooming, redraw the area and the x axis.
function zoomed(event) {
const xz = event.transform.rescaleX(x);
path.attr("d", area(data, xz));
gx.call(xAxis, xz);
}
// Initial zoom.
svg.call(zoom)
.transition()
.duration(750)
.call(zoom.scaleTo, 4, [x(Date.UTC(2001, 8, 1)), 0]);
return svg.node();
}
data = FileAttachment("flights.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.
