Science journalist / data enthusiast. @NikoMcCarty on twitter.
chart = {
const svg = d3.create("svg").attr("viewBox", [0, 0, width, height]);
svg.append("g").call(yGrid);
svg
.append("g")
.attr("fill", "steelblue")
.selectAll("rect")
.data(bins)
.join("rect")
.attr("x", d => xScale(d.x0) + barPadding) // position of each bar on xAxis, width adjustment (bar padding)
.attr("y", d => yScale(d.length))
.attr("width", d => d3.max([0, xScale(d.x1) - xScale(d.x0) - barPadding]))
.attr("height", d => yScale(0) - yScale(d.length));
svg.append("g").call(xAxis);
svg.append("g").call(yAxis);
return svg.node();
}
width = 600
height = 500
margin = ({ top: 20, right: 20, bottom: 40, left: 40 })
barPadding = 1
bins = d3.bin().thresholds(40)(data)
bins.length
bins
bins[1][1]
xScale = d3
.scaleLinear()
.domain([bins[0].x0, bins[bins.length - 1].x1])
.range([margin.left, width - margin.right])
yScale = d3
.scaleLinear()
.domain([0, d3.max(bins, d => d.length)])
.nice()
.range([height - margin.bottom, margin.top])
xAxis = g =>
g
.attr("transform", `translate(0,${height - margin.bottom})`)
.call(
d3
.axisBottom(xScale)
.ticks(width / 80)
.tickSizeOuter(0)
)
.call(g =>
g
.append("text")
.attr("x", width - margin.right)
.attr("y", -15)
.attr("fill", "currentColor")
.attr("font-weight", "bold")
.attr("text-anchor", "end")
.text(data.x)
)
yAxis = g =>
g
.attr("transform", `translate(${margin.left},0)`)
.call(d3.axisLeft(yScale).ticks(height / 40))
.call(g => g.select(".domain").remove())
yGrid = g =>
g
.selectAll('line')
.data(yScale.ticks())
.join('line')
.attr('x1', margin.left)
.attr('x2', width - margin.right)
.attr('y1', d => yScale(d))
.attr('y2', d => yScale(d))
.style("stroke-width", 0.2)
.style("stroke", "black")
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.
