Published
Edited
Aug 27, 2020
26 forks
Importers
24 stars
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chart = {
const svg = d3.create("svg")
.attr("viewBox", [0, 0, width, height]);

svg.append("g")
.attr("fill", "steelblue")
.attr("fill-opacity", 0.8)
.selectAll("rect")
.data(data)
.join("rect")
.attr("x", d => x(d.year))
.attr("width", x.bandwidth())
.attr("y", d => y1(d.sales))
.attr("height", d => y1(0) - y1(d.sales));

svg.append("path")
.attr("fill", "none")
.attr("stroke", "currentColor")
.attr("stroke-miterlimit", 1)
.attr("stroke-width", 3)
.attr("d", line(data));

svg.append("g")
.attr("fill", "none")
.attr("pointer-events", "all")
.selectAll("rect")
.data(data)
.join("rect")
.attr("x", d => x(d.year))
.attr("width", x.bandwidth())
.attr("y", 0)
.attr("height", height)
.append("title")
.text(d => `${d.year}
${d.sales.toLocaleString("en")} new cars sold
${d.efficiency.toLocaleString("en")} mpg average fuel efficiency`);

svg.append("g")
.call(xAxis);

svg.append("g")
.call(y1Axis);

svg.append("g")
.call(y2Axis);

return svg.node();
}
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data = Object.assign(d3.csvParse(await FileAttachment("new-passenger-cars.csv").text(), d3.autoType), {y1: "↑ New cars sold", y2: "Avg. fuel efficiency (mpg) ↑"})
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line = d3.line()
.x(d => x(d.year) + x.bandwidth() / 2)
.y(d => y2(d.efficiency))
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x = d3.scaleBand()
.domain(data.map(d => d.year))
.rangeRound([margin.left, width - margin.right])
.padding(0.1)
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y1 = d3.scaleLinear()
.domain([0, d3.max(data, d => d.sales)])
.rangeRound([height - margin.bottom, margin.top])
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y2 = d3.scaleLinear()
.domain(d3.extent(data, d => d.efficiency))
.rangeRound([height - margin.bottom, margin.top])
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xAxis = g => g
.attr("transform", `translate(0,${height - margin.bottom})`)
.call(d3.axisBottom(x)
.tickValues(d3.ticks(...d3.extent(x.domain()), width / 40).filter(v => x(v) !== undefined))
.tickSizeOuter(0))
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y1Axis = g => g
.attr("transform", `translate(${margin.left},0)`)
.style("color", "steelblue")
.call(d3.axisLeft(y1).ticks(null, "s"))
.call(g => g.select(".domain").remove())
.call(g => g.append("text")
.attr("x", -margin.left)
.attr("y", 10)
.attr("fill", "currentColor")
.attr("text-anchor", "start")
.text(data.y1))
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y2Axis = g => g
.attr("transform", `translate(${width - margin.right},0)`)
.call(d3.axisRight(y2))
.call(g => g.select(".domain").remove())
.call(g => g.append("text")
.attr("x", margin.right)
.attr("y", 10)
.attr("fill", "currentColor")
.attr("text-anchor", "end")
.text(data.y2))
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height = 500
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margin = ({top: 20, right: 30, bottom: 30, left: 40})
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d3 = require("d3@6")
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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.
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