Public
Edited
Aug 1, 2023
77 forks
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chart = {
// Declare the chart dimensions and margins.
const width = 960;
const height = 500;
const marginTop = 20;
const marginRight = 20;
const marginBottom = 30;
const marginLeft = 40;
// Bin the data.
const bins = d3.bin()
.thresholds(40)
.value((d) => d.rate)
(unemployment);
// Declare the x (horizontal position) scale.
const x = d3.scaleLinear()
.domain([bins[0].x0, bins[bins.length - 1].x1])
.range([marginLeft, width - marginRight]);
// Declare the y (vertical position) scale.
const y = d3.scaleLinear()
.domain([0, d3.max(bins, (d) => d.length)])
.range([height - marginBottom, marginTop]);
// 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;");
// Add a rect for each bin.
svg.append("g")
.attr("fill", "steelblue")
.selectAll()
.data(bins)
.join("rect")
.attr("x", (d) => x(d.x0) + 1)
.attr("width", (d) => x(d.x1) - x(d.x0) - 1)
.attr("y", (d) => y(d.length))
.attr("height", (d) => y(0) - y(d.length));
// Add the x-axis and label.
svg.append("g")
.attr("transform", `translate(0,${height - marginBottom})`)
.call(d3.axisBottom(x).ticks(width / 80).tickSizeOuter(0))
.call((g) => g.append("text")
.attr("x", width)
.attr("y", marginBottom - 4)
.attr("fill", "currentColor")
.attr("text-anchor", "end")
.text("Unemployment rate (%) →"));
// Add the y-axis and label, and remove the domain line.
svg.append("g")
.attr("transform", `translate(${marginLeft},0)`)
.call(d3.axisLeft(y).ticks(height / 40))
.call((g) => g.select(".domain").remove())
.call((g) => g.append("text")
.attr("x", -marginLeft)
.attr("y", 10)
.attr("fill", "currentColor")
.attr("text-anchor", "start")
.text("↑ Frequency (no. of counties)"));
// Return the SVG element.
return svg.node();
}
unemployment = FileAttachment("unemployment-x.csv").csv({typed: true})
Plot.plot({
width: 960,
height: 500,
marks: [
Plot.rectY(unemployment, Plot.binX({y: "count"}, {x: "rate", fill: "steelblue"})),
Plot.ruleY([0])
]
})
Plot.rectY(unemployment, Plot.binX({y: "count"}, {x: "rate"})).plot()
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.
