Published
Edited
Aug 27, 2020
3 forks
Importers
31 stars
chart = {
const svg = d3.create("svg")
.attr("viewBox", [0, 0, width, height])
.attr("font-family", "sans-serif")
.attr("font-size", 10)
.attr("stroke-miterlimit", 1);
svg.append("g")
.call(xAxis);
svg.append("g")
.call(yAxis);
svg.append("g")
.call(grid);
svg.append("path")
.attr("fill", "steelblue")
.attr("fill-opacity", 0.2)
.attr("d", area(data));
svg.append("path")
.attr("fill", "none")
.attr("stroke", "steelblue")
.attr("stroke-width", 1.5)
.attr("d", line(data.slice(0, observedIndex + 1)));
svg.append("path")
.attr("fill", "none")
.attr("stroke", "steelblue")
.attr("stroke-width", 1.5)
.attr("stroke-dasharray", "3,3")
.attr("d", line(data.slice(observedIndex)));
svg.append("circle")
.attr("cx", x(observed.date))
.attr("cy", y(observed.mean))
.attr("r", 2.5);
svg.append("text")
.attr("x", x(observed.date))
.attr("y", y(observed.mean))
.attr("dx", 6)
.attr("dy", "0.35em")
.text(observed.mean.toLocaleString("en"));
svg.append("text")
.attr("x", x(observed.date))
.attr("y", y(observed.mean))
.attr("dx", 6)
.attr("dy", "1.35em")
.text(d3.utcFormat("%B %-d")(observed.date));
return svg.node();
}
data = Object.assign(d3.csvParse(await FileAttachment("covid-ihme-projected-deaths-2020-04-01.csv").text(), d3.autoType), {y: "↑ Deaths per day"})
observedIndex = data.findIndex(d => d.projected) - 1
observed = data[observedIndex]
line = d3.line()
.x(d => x(d.date))
.y(d => y(d.mean))
area = d3.area()
.x(d => x(d.date))
.y0(d => y(d.lower))
.y1(d => y(d.upper))
x = d3.scaleUtc()
.domain(d3.extent(data, d => d.date))
.rangeRound([margin.left, width - margin.right])
y = d3.scaleLog()
.domain([1, d3.max(data, d => d.upper)])
.rangeRound([height - margin.bottom, margin.top])
.clamp(true)
xAxis = g => g
.attr("transform", `translate(0,${height - margin.bottom})`)
.call(d3.axisBottom(x).ticks(width / 80))
.call(g => g.select(".domain").remove())
yAxis = g => g
.attr("transform", `translate(${margin.left},0)`)
.call(d3.axisLeft(y).ticks(null, ",d"))
.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.y))
grid = g => g
.attr("stroke", "currentColor")
.attr("stroke-opacity", 0.1)
.call(g => g.append("g")
.selectAll("line")
.data(x.ticks())
.join("line")
.attr("x1", d => 0.5 + x(d))
.attr("x2", d => 0.5 + x(d))
.attr("y1", margin.top)
.attr("y2", height - margin.bottom))
.call(g => g.append("g")
.selectAll("line")
.data(y.ticks())
.join("line")
.attr("y1", d => 0.5 + y(d))
.attr("y2", d => 0.5 + y(d))
.attr("x1", margin.left)
.attr("x2", width - margin.right));
height = 600
margin = ({top: 20, right: 30, bottom: 30, left: 40})
d3 = require("d3@6")
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.
