Published
Edited
Mar 2, 2020
Insert cell
Insert cell
chart = {
const svg = d3.select(DOM.svg(width, height));

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

svg.append("g")
.call(yAxis);
const group = svg.append("g")
.selectAll("g")
.data(data.series)
.join("g")
.attr("transform", d => `translate(0,${y(d.name) + 1})`);

group.append("path")
.attr("fill", "#ddd")
.attr("d", d => area(d.values));

group.append("path")
.attr("fill", "none")
.attr("stroke", "black")
.attr("d", d => line(d.values));

return svg.node();
}
Insert cell
overlap = 8
Insert cell
height = data.series.length * 17
Insert cell
margin = ({top: 60, right: 20, bottom: 30, left: 120})
Insert cell
x = d3.scaleTime()
.domain(d3.extent(data.dates))
.range([margin.left, width - margin.right])
Insert cell
y = d3.scalePoint()
.domain(data.series.map(d => d.name))
.range([margin.top, height - margin.bottom])
Insert cell
z = d3.scaleLinear()
.domain([0, d3.max(data.series, d => d3.max(d.values))]).nice()
.range([0, -overlap * y.step()])
Insert cell
xAxis = g => g
.attr("transform", `translate(0,${height - margin.bottom})`)
.call(d3.axisBottom(x)
.ticks(width / 80)
.tickSizeOuter(0))
Insert cell
yAxis = g => g
.attr("transform", `translate(${margin.left},0)`)
.call(d3.axisLeft(y).tickSize(0).tickPadding(4))
.call(g => g.select(".domain").remove())
Insert cell
area = d3.area()
.curve(d3.curveBasis)
.defined(d => !isNaN(d))
.x((d, i) => x(data.dates[i]))
.y0(0)
.y1(d => z(d))
Insert cell
line = area.lineY1()
Insert cell
data = {
console.clear();
const data = d3.csvParse(await FileAttachment("regions@1.csv").text(), d3.autoType).filter( (d) => d.name !== 'Mainland China');

const dates = Array.from(d3.group(data, d => +d.date).keys()).sort(d3.ascending);
return {
dates: dates.map(d => new Date(d)),
series: d3.groups(data, d => d.name).map(([name, values]) => {
const value = new Map(values.map(d => [+d.date, d.newCases]));
return {name, values: dates.map(d => value.get(d) || 0)};
})
};
}
Insert cell
d3 = require("d3@5", "d3-array@2")
Insert cell

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.
Learn more