Published
Edited
Sep 6, 2019
chart = {
const svg = d3.create("svg")
.attr("viewBox", [0, 0, width, height]);
svg.append("g")
.selectAll("g")
.data(series)
.join("g")
.attr("fill", d => color(d.key))
.selectAll("rect")
.data(d => d)
.join("rect")
.attr("x", d => x(d[0]))
.attr("y", (d, i) => y(d.data.name))
.attr("width", d => x(d[1]) - x(d[0]))
.attr("height", y.bandwidth());
svg.append("g")
.call(xAxis);
svg.append("g")
.call(yAxis);
return svg.node();
}
data = (await d3.csv("https://gist.githubusercontent.com/mbostock/5429c74d6aba68c52c7b39642c98deed/raw/50a5157a1d920191b0a7f636796ee721047cbb92/us-population-state-age.csv", (d, i, columns) => (d3.autoType(d), d.total = d3.sum(columns, c => d[c]), d))).sort((a, b) => b.total - a.total)
series = d3.stack().keys(data.columns.slice(1))(data)
x = d3.scaleLinear()
.domain([0, d3.max(series, d => d3.max(d, d => d[1]))])
.range([margin.left, width - margin.right])
y = d3.scaleBand()
.domain(data.map(d => d.name))
.range([margin.top, height - margin.bottom])
.padding(0.1)
color = d3.scaleOrdinal()
.domain(series.map(d => d.key))
.range(d3.quantize(t => d3.interpolateSpectral(t * 0.8 + 0.1), series.length).reverse())
.unknown("#ccc")
xAxis = g => g
.attr("transform", `translate(0,${margin.top})`)
.call(d3.axisTop(x).ticks(width / 100, "s"))
.call(g => g.selectAll(".domain").remove())
yAxis = g => g
.attr("transform", `translate(${margin.left},0)`)
.call(d3.axisLeft(y).tickSizeOuter(0))
.call(g => g.selectAll(".domain").remove())
height = data.length * 25 + margin.top + margin.bottom
margin = ({top: 30, right: 10, bottom: 0, left: 30})
d3 = require("d3@5")
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.
