Published
Edited
Jan 25, 2019
4 forks
11 stars
chart = {
const svg = d3.select(DOM.svg(width, height));
svg.append("g")
.attr("fill", "steelblue")
.selectAll("path").data(data).enter().append("path")
.attr("d", d => roundedRect(
x(d.name),
y(d.value),
x.bandwidth(),
y(0) - y(d.value),
[10, 0, 0, 0]
))
svg.append("g")
.call(xAxis);
svg.append("g")
.call(yAxis);
return svg.node();
}
data = (await require("@observablehq/alphabet"))
.slice()
.sort((a, b) => b.frequency - a.frequency)
.map(({letter, frequency}) => ({name: letter, value: frequency}))
x = d3.scaleBand()
.domain(data.map(d => d.name))
.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,${height - margin.bottom})`)
.call(d3.axisBottom(x)
.tickSizeOuter(0))
yAxis = g => g
.attr("transform", `translate(${margin.left},0)`)
.call(d3.axisLeft(y))
.call(g => g.select(".domain").remove())
height = 500
margin = ({top: 20, right: 0, bottom: 30, left: 40})
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.
