Published
Edited
Dec 10, 2020
chart = {
const svg = d3.create("svg").attr("viewBox", [0, 0, width, height]);
const bandwidth = x.bandwidth();
const y0 = y(0);
svg
.append("g")
.attr("fill", color)
.attr("stroke", color)
.attr("fill-opacity", 0.3)
.selectAll("path")
.data(data)
.join("path")
.attr("transform", (d, i) => `translate(${x(i) + bandwidth * 0.5}, ${y0})`)
.attr("d", d => spike(height - y(d.value), bandwidth));
svg.append("g").call(xAxis);
svg.append("g").call(yAxis);
return svg.node();
}
spike = (length, width) => `M${-width / 2},0L0,${-length}L${width / 2},0`
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(0.3)
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 = "red"
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.
