Published
Edited
May 28, 2020
3 stars
bins = d3.histogram()
.domain(x.domain())
.thresholds(N)
(data)
x = d3.scaleLinear()
.domain([0, d3.max(data)]).nice()
.range([margin.left, width - margin.right])
y = d3.scaleLinear()
.domain([0, d3.max(bins, d => d.length)]).nice()
.range([height - margin.bottom, margin.top])
xAxis = g => g
.attr("transform", `translate(0,${height - margin.bottom})`)
.call(d3.axisBottom(x).ticks(10 ).tickSizeOuter(0))
.call(g => g.append("text")
.attr("x", width - margin.right + 12)
.attr("y", 8)
.attr("fill", "currentColor")
.attr("font-weight", "bold")
.attr("text-anchor", "start")
.text(data.x))
yAxis = g => g
.attr("transform", `translate(${margin.left},0)`)
.call(d3.axisLeft(y).ticks(height / 40))
.call(g => g.select(".domain").remove())
.call(g => g.select(".tick:last-of-type text").clone()
.attr("x", 4)
.attr("fill", "currentColor")
.attr("text-anchor", "start")
.attr("font-weight", "bold")
.text(data.y))
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.
