chart = {
const svg = d3.create("svg")
.attr("viewBox", [-10, 0, width, height])
.call(zoom);
svg.append("g")
.attr("class", "bars")
.attr("fill", "steelblue")
.selectAll("rect")
.data(data)
.join("rect")
.attr("x", d => x(d.name))
.attr("y", d => y(d.value))
.attr("height", d => y(0) - y(d.value))
.attr("width", x.bandwidth());
svg.append("g")
.attr("class", "x-axis")
.call(xAxis);
svg.append("g")
.attr("class", "y-axis")
.call(yAxis);
return svg.node();
}
function zoom(svg) {
const extent = [[margin.left, margin.top], [width - margin.right, height - margin.top]];
svg.call(d3.zoom()
.scaleExtent([1, 8])
.translateExtent(extent)
.extent(extent)
.on("zoom", zoomed));
function zoomed() {
x.range([margin.left, width - margin.right].map(d => d3.event.transform.applyX(d)));
svg.selectAll(".bars rect").attr("x", d => x(d.name)).attr("width", x.bandwidth());
svg.selectAll(".x-axis").call(xAxis);
}
}
data = d3.csvParse(await FileAttachment("cities-2.csv").text(), ({name, value}) => ({name: name, value: +value})).sort((a, b) => b.value - a.value)
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
.style("font-size", "22px")
.attr("transform", `translate(0,${height - margin.bottom})`)
.call(d3.axisBottom(x).tickSizeOuter(0))
yAxis = g => g
.style("font-size", "22px")
.attr("transform", `translate(${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.
