chart = {
// Declare the chart dimensions and margins.
const width = 928;
const height = 500;
const marginTop = 20;
const marginRight = 30;
const marginBottom = 30;
const marginLeft = 40;
// Declare the x (horizontal position) scale.
const x = d3.scaleUtc(d3.extent(aapl, d => d.date), [marginLeft, width - marginRight]);
// Declare the y (vertical position) scale.
const y = d3.scaleLinear([0, d3.max(aapl, d => d.close)], [height - marginBottom, marginTop]);
// Declare the line generator.
const line = d3.line()
.defined(d => !isNaN(d.close))
.x(d => x(d.date))
.y(d => y(d.close));
// 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; height: intrinsic;");
// Add the x-axis.
svg.append("g")
.attr("transform", `translate(0,${height - marginBottom})`)
.call(d3.axisBottom(x).ticks(width / 80).tickSizeOuter(0));
// Add the y-axis, remove the domain line, add grid lines and a label.
svg.append("g")
.attr("transform", `translate(${marginLeft},0)`)
.call(d3.axisLeft(y).ticks(height / 40))
.call(g => g.select(".domain").remove())
.call(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("↑ Daily close ($)"));
// Append a path for the line.
svg.append("path")
.attr("fill", "none")
.attr("stroke", "#ccc")
.attr("stroke-width", 1.5)
.attr("d", line(aaplMissing.filter(d => !isNaN(d.close))));
// Append a path for the line.
svg.append("path")
.attr("fill", "none")
.attr("stroke", "steelblue")
.attr("stroke-width", 1.5)
.attr("d", line(aaplMissing));
return svg.node();
}
aapl = FileAttachment("aapl.csv").csv({typed: true})
aaplMissing = aapl.map(d => ({...d, close: d.date.getUTCMonth() < 3 ? NaN : d.close})) // simulate gaps
Plot.plot({
y: {grid: true, label: "Daily close ($)"},
marks: [
Plot.ruleY([0]),
Plot.lineY(aaplMissing, {filter: (d) => !isNaN(d.close), x: "date", y: "close", stroke: "#ccc"}),
Plot.lineY(aaplMissing, {x: "date", y: "close", stroke: "steelblue"})
]
})
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.
