Published
Edited
Apr 10, 2021
chart = {
const svg = d3.create("svg")
.attr("viewBox", [0, 0, width, height])
.attr("aria-roledescription", "chart");
svg.append("g")
.attr("fill", "steelblue")
.selectAll("rect")
.data(data)
.join("rect")
.attr("role", "progressbar")
.attr("aria-label", (d) => d.name)
// .attr("aria-valuenow", (d) => format(d.value))
.attr("aria-valuemin", 0)
.attr("aria-valuemax", 100)
.attr("tabindex", 0)
.attr("x", x(0))
.attr("y", (d, i) => y(i))
.attr("width", d => x(d.value) - x(0))
.attr("height", y.bandwidth());
svg.append("g")
.attr("fill", "transparent")
.selectAll("text")
.data(data)
.join("text")
.text(d => d.name)
svg.append("g")
.attr("fill", "white")
.attr("text-anchor", "end")
.attr("font-family", "sans-serif")
.attr("font-size", 12)
.selectAll("text")
.data(data)
.join("text")
.attr("id", d => `label-${d.name}`)
.attr("x", d => x(d.value))
.attr("y", (d, i) => y(i) + y.bandwidth() / 2)
.attr("dy", "0.35em")
.attr("dx", -4)
.text(d => format(d.value))
.call(text => text.filter(d => x(d.value) - x(0) < 20) // short bars
.attr("dx", +4)
.attr("fill", "black")
.attr("text-anchor", "start"));
svg.append("g")
.call(xAxis);
svg.append("g")
.call(yAxis)
return svg.node();
}
data = Object.assign(d3.csvParse(await FileAttachment("alphabet.csv").text(), ({letter, frequency}) => ({name: letter, value: +frequency})).sort((a, b) => d3.descending(a.value, b.value)), {format: "%"})
format = x.tickFormat(20, data.format)
x = d3.scaleLinear()
.domain([0, d3.max(data, d => d.value)])
.range([margin.left, width - margin.right])
y = d3.scaleBand()
.domain(d3.range(data.length))
.rangeRound([margin.top, height - margin.bottom])
.padding(0.1)
xAxis = g => g
.attr("transform", `translate(0,${margin.top})`)
.call(d3.axisTop(x).ticks(width / 80, data.format))
.call(g => g.select(".domain").remove())
yAxis = g => g
.attr("transform", `translate(${margin.left},0)`)
.call(d3.axisLeft(y).tickFormat(i => data[i].name).tickSizeOuter(0))
barHeight = 25
height = Math.ceil((data.length + 0.1) * barHeight) + margin.top + margin.bottom
margin = ({top: 30, right: 0, bottom: 10, left: 30})
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.
