Published
Edited
Jul 26, 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, i) => x(d.data.region))
.attr("y", d => y(d[1]))
.attr("height", d => y(d[0]) - y(d[1]))
.attr("width", x.bandwidth());
svg.append("g")
.call(xAxis);
svg.append("g")
.call(yAxis);
return svg.node();
}
data = (await d3.csv(url, (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.scaleBand()
.domain(data.map(d => d.region))
.range([margin.left, width - margin.right])
.padding(0.1)
y = d3.scaleLinear()
.domain([0, d3.max(series, d => d3.max(d, d => d[1]))])
.rangeRound([height - margin.bottom, margin.top])
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,${height - margin.bottom})`)
.call(d3.axisBottom(x).tickSizeOuter(0))
.call(g => g.selectAll(".domain").remove())
yAxis = g => g
.attr("transform", `translate(${margin.left},0)`)
.call(d3.axisLeft(y).ticks(null, "s"))
.call(g => g.selectAll(".domain").remove())
height = 600
margin = ({top: 10, right: 10, bottom: 20, left: 40})
d3 = require("d3@5")
url = "https://gist.githubusercontent.com/kkxix/7a4224ea0402967a2e42ff71153fad1d/raw/1c25cfe8c52015c9cc6ee4cdc38126d22fa9c19c/1847%2520age%2520population%2520by%2520region.csv"
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.
