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,${y(d.location) + 1})`);
group.append("path")
.attr("fill", "#ddd")
.attr("d", d => area(d.values));
group.append("path")
.attr("fill", "none")
.attr("stroke", "black")
.attr("d", d => line(d.values));
return svg.node();
}
overlap = 1
height = data.series.length * 17*5
margin = ({top: 50, right: 20, bottom: 30, left: 120})
x = d3.scaleTime()
.domain(d3.extent(data.dates))
.range([margin.left, width - margin.right])
y = d3.scalePoint()
.domain(data.series.map(d => d.location))
.range([margin.top, height - margin.bottom])
z = d3.scaleLinear()
.domain([0, d3.max(data.series, d => d3.max(d.values))]).nice()
.range([0, -overlap * y.step()])
xAxis = g => g
.attr("transform", `translate(0,${height - margin.bottom})`)
.call(d3.axisBottom(x)
.ticks(width / 80)
.tickSizeOuter(0))
yAxis = g => g
.attr("transform", `translate(${margin.left},0)`)
.call(d3.axisLeft(y).tickSize(0).tickPadding(4))
.call(g => g.select(".domain").remove())
area = d3.area()
.curve(d3.curveBasis)
.defined(d => !isNaN(d))
.x((d, i) => x(data.dates[i]))
.y0(0)
.y1(d => z(d))
line = area.lineY1()
data = {
const data = d3.csvParse(await FileAttachment("covid-1.csv").text(), d3.autoType);
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.location).map(([location, values]) => {
const new_cases = new Map(values.map(d => [+d.date, Math.log(d.new_cases+1)]));
return {location, values: dates.map(d => new_cases.get(d))};
})
};
}
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.
