hybridBarLineChart = {
const svg = d3.create("svg")
.attr("viewBox", [0, 0, width+100, height]);
svg.append("g")
.attr("fill", "steelblue")
.attr("fill-opacity", 0.8)
.selectAll("rect")
.data(idiom2Data)
.join("rect")
.attr("x", d => x(d.year))
.attr("width", x.bandwidth())
.attr("y", d => y1(d.h1b_count))
.attr("height", d => y1(0) - y1(d.h1b_count));
svg.append("path")
.attr("fill", "none")
.attr("stroke", "currentColor")
.attr("stroke-miterlimit", 1)
.attr("stroke-width", 3)
.attr("d", line(idiom2Data));
svg.append("g")
.attr("fill", "none")
.attr("pointer-events", "all")
.selectAll("rect")
.data(idiom2Data)
.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.h1b_count.toLocaleString("en")} H1B Petition Count
${d.unemployment.toLocaleString("en")} Unemployment Rate`);
svg.append("g")
.call(xAxis);
svg.append("g")
.call(y1Axis);
svg.append("g")
.call(y2Axis);
return svg.node();
}
y2Axis = g => g
.attr("transform", `translate(${width - margin.right},0)`)
.call(d3.axisRight(y2).ticks(null, "%"))
.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("Unemployment Rate"))
y1Axis = g => g
.attr("transform", `translate(${margin.left},0)`)
.style("color", "steelblue")
.call(d3.axisLeft(y1).ticks(null, "s"))
.call(g => g.select(".domain").remove())
.call(g => g.append("text")
.attr("x", -margin.left)
.attr("y", 10)
.attr("fill", "currentColor")
.attr("text-anchor", "start")
.text("H1B Petition Count"))
xAxis = g => g
.attr("transform", `translate(0,${height - margin.bottom})`)
.call(d3.axisBottom(x)
.tickValues(d3.ticks(...d3.extent(x.domain()), width / 40).filter(v => x(v) !== undefined))
.tickSizeOuter(0))
y2 = d3.scaleLinear()
.domain(d3.extent(idiom2Data, d => d.unemployment))
.rangeRound([height - margin.bottom, margin.top])
y1 = d3.scaleLinear()
.domain([0, d3.max(idiom2Data, d => d.h1b_count)])
.rangeRound([height - margin.bottom, margin.top])
x = d3.scaleBand()
.domain(idiom2Data.map(d => d.year))
.rangeRound([margin.left, width - margin.right])
.padding(0.1)
line = d3.line()
.x(d => x(d.year) + x.bandwidth() / 2)
.y(d => y2(d.unemployment))
margin = ({top: 20, right: 30, bottom: 30, left: 40})
height = 500
idiom2Data = FileAttachment("idiom2-data.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.
