chart = {
const width = 928;
const height = 500;
const marginTop = 20;
const marginRight = 20;
const marginBottom = 30;
const marginLeft = 40;
// Create the scales.
const x = d3.scaleUtc()
.domain(d3.extent(data, d => d.date))
.rangeRound([marginLeft, width - marginRight]);
const y = d3.scaleLinear()
.domain(d3.extent(data, d => d.temperature)).nice()
.rangeRound([height - marginBottom, marginTop]);
const color = d3.scaleOrdinal(conditions.keys(), Array.from(conditions.values(), d => d.color))
.unknown("black");
// Create the path generator.
const line = d3.line()
.curve(d3.curveStep)
.x(d => x(d.date))
.y(d => y(d.temperature));
// 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;");
// Append the axes.
svg.append("g")
.attr("transform", `translate(0,${height - marginBottom})`)
.call(d3.axisBottom(x).ticks(width / 80).tickSizeOuter(0))
.call(g => g.select(".domain").remove());
svg.append("g")
.attr("transform", `translate(${marginLeft},0)`)
.call(d3.axisLeft(y))
.call(g => g.select(".domain").remove())
.call(g => g.select(".tick:last-of-type text").append("tspan").text(data.y));
// Create the grid.
svg.append("g")
.attr("stroke", "currentColor")
.attr("stroke-opacity", 0.1)
.call(g => g.append("g")
.selectAll("line")
.data(x.ticks())
.join("line")
.attr("x1", d => 0.5 + x(d))
.attr("x2", d => 0.5 + x(d))
.attr("y1", marginTop)
.attr("y2", height - marginBottom))
.call(g => g.append("g")
.selectAll("line")
.data(y.ticks())
.join("line")
.attr("y1", d => 0.5 + y(d))
.attr("y2", d => 0.5 + y(d))
.attr("x1", marginLeft)
.attr("x2", width - marginRight));
// Create the linear gradient.
const colorId = DOM.uid("color");
svg.append("linearGradient")
.attr("id", colorId.id)
.attr("gradientUnits", "userSpaceOnUse")
.attr("x1", 0)
.attr("x2", width)
.selectAll("stop")
.data(data)
.join("stop")
.attr("offset", d => x(d.date) / width)
.attr("stop-color", d => color(d.condition));
// Create the main path.
svg.append("path")
.datum(data)
.attr("fill", "none")
.attr("stroke", colorId)
.attr("stroke-width", 2)
.attr("stroke-linejoin", "round")
.attr("stroke-linecap", "round")
.attr("d", line);
return Object.assign(svg.node(), {scales: {color}});
}
data = FileAttachment("fcm.csv").csv({typed: true})
conditions = new Map([
["CLR", {label: "Clear", color: "deepskyblue"}],
["FEW", {label: "Few clouds", color: "lightskyblue"}],
["SCT", {label: "Scattered clouds", color: "lightblue"}],
["BKN", {label: "Broken clouds", color: "#aaaaaa"}],
["OVC", {label: "Overcast", color: "#666666"}],
["VV ", {label: "Indefinite ceiling (vertical visibility)", color: "#666666"}]
])
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.
