Published
Edited
Jun 7, 2021
chart = {
if (!data || data.length == 0) { return d3.create("div").node() }
const svg = d3.create("svg")
.attr("viewBox", [0, 0, width, height])
.style("background-color", "#1f2937");
svg.append("g")
.attr("fill", "steelblue")
.selectAll("rect")
.data(data)
.join("rect")
.attr("x", x(minX))
.attr("y", (d, i) => y(i))
.attr("width", d => x(d.value) - x(minX))
.attr("height", y.bandwidth());
svg.append("g")
.attr("fill", "white")
.attr("text-anchor", "end")
.attr("font-family", "sans-serif")
.attr("font-size", 12)
.selectAll("text")
.data(data)
.join("text")
.attr("x", d => x(d.value))
.attr("y", (d, i) => y(i) + y.bandwidth() / 2)
.attr("dy", "0.35em")
.attr("dx", -4)
.text(d => format(d.value))
.call(text => text.filter(d => x(d.value) - x(minX) < 20) // short bars
.attr("dx", +4)
.attr("fill", "black")
.attr("text-anchor", "start"));
svg.append("g")
.call(xAxis)
.style("color", "white");
svg.append("g")
.call(yAxis)
.style("color", "white");
return svg.node();
}
data = data_.map(([name, value]) => ({name, value}))
data_ = [
["4/15/17", 257],
["4/15/18", 280],
["4/15/19", 300]
]
minX = d3.min(data, d => d.value) - 10
format = x.tickFormat(20, data.format)
x = d3.scaleLinear()
.domain([minX, d3.max(data, d => d.value) + 9])
.range([margin.left, width - margin.right])
y = d3.scaleBand()
.domain(d3.range(data.length))
.rangeRound([margin.top, height - margin.bottom])
.padding(0.1)
xAxis = g => g
.attr("transform", `translate(0,${margin.top})`)
.call(d3.axisTop(x).ticks(width / 80, data.format))
.call(g => g.select(".domain").remove())
yAxis = g => g
.attr("transform", `translate(${margin.left},0)`)
.call(d3.axisLeft(y).tickFormat(i => data[i].name).tickSizeOuter(0))
barHeight = 25
height = Math.ceil((data.length + 0.1) * barHeight) + margin.top + margin.bottom
margin = ({top: 30, right: 10, bottom: 10, left: 50})
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.
