Published
Edited
Apr 22, 2021
chart = {
const svg = d3.create("svg").attr("viewBox", [0, 0, width, height]);
svg
.selectAll("rect")
.data(data)
.join("rect")
.attr("fill", "#607D8B")
.attr("height", 0)
.attr("y", (d) => y(0))
.attr("x", (d, i) => x(i))
.attr("width", x.bandwidth())
.transition()
.duration(500)
.attr("x", (d, i) => x(i))
.attr("y", (d) => y(d.value))
.attr("height", (d) => y(0) - y(d.value))
.attr("width", x.bandwidth())
.delay((d, i) => i * 10);
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: "%", y: "↑ Frequency"})
x = d3.scaleBand()
.domain(d3.range(data.length))
.range([margin.left, width - margin.right])
.padding(0.1)
y = d3.scaleLinear()
.domain([0, d3.max(data, d => d.value)]).nice()
.range([height - margin.bottom, margin.top])
xAxis = g => g
.attr("transform", `translate(0,${height - margin.bottom})`)
.call(d3.axisBottom(x).tickFormat(i => data[i].name).tickSizeOuter(0))
yAxis = g => g
.attr("transform", `translate(${margin.left},0)`)
.call(d3.axisLeft(y).ticks(null, data.format))
.call(g => g.select(".domain").remove())
.call(g => g.append("text")
.attr("x", -margin.left)
.attr("y", 10)
.attr("fill", "currentColor")
.attr("text-anchor", "start")
.text(data.y))
color = "steelblue"
height = 500
margin = ({top: 30, right: 0, bottom: 30, left: 40})
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.
