Published
Edited
May 24, 2020
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chart = {
const svg = d3.create('svg')
.attr("viewBox", [0, 0, width, height])
svg.append('g')
.attr("class", "x-axis")
.call(xAxis);
svg.append('g')
.attr("class", "y-axis")
.call(yAxis);
svg.append("path")
.attr("class", "line")
.datum(data)
.attr("fill", "none")
.attr("stroke", "steelblue")
.attr("stroke-width", 1.5)
.attr("stroke-linejoin", "round")
.attr("stroke-linecap", "round")
.attr("d", line);
return svg.node();
}
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x = d3.scaleUtc()
.domain(d3.extent(data, d => d.year)).nice()
.range([margin.left, width - margin.right]);
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y = d3.scaleLinear()
.domain([0, d3.max(data, d => d.life_expect)]).nice()
.range([height - margin.bottom, margin.top]);
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xAxis = g => g
.attr("transform", `translate(0,${height - margin.bottom})`)
.call(d3.axisBottom(x).ticks(width / 80).tickSizeOuter(0));
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yAxis = g => g
.attr("transform", `translate(${margin.left},0)`)
.call(d3.axisLeft(y))
.call(g => g.select(".domain").remove())
.call(g => g.select(".tick:last-of-type text").clone()
.attr("x", 3)
.attr("text-anchor", "start")
.attr("font-weight", "bold")
.text(data.y));
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line = d3.line()
.defined(d => !isNaN(d.life_expect))
.x(d => x(d.year))
.y(d => y(d.life_expect));
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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.
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