Published
Edited
May 25, 2020
Importers
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x = d3.scaleUtc()
.domain(d3.extent(data, d => d.x))
.range([margin.left, width - margin.right]);
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xAxis = g => g
.attr("transform", `translate(0,${height - margin.bottom})`)
.call(d3.axisBottom(x).ticks(width / 80).tickSizeOuter(0))
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y = d3.scaleLinear()
.domain([0, d3.max(data, d => d.y)]).nice()
.range([height - margin.bottom, margin.top]);
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yAxis = g => g
.attr("transform", `translate(${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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area = d3.area()
.curve(curve)
.x(d => x(d.x))
.y0(y(0))
.y1(d => y(d.y));
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curve = d3.curveLinear;
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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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