Public
Edited
Aug 1, 2023
97 forks
Importers
46 stars
chart = {
// Specify the chart’s dimensions.
const width = 928;
const height = 500;
const marginTop = 20;
const marginRight = 0;
const marginBottom = 30;
const marginLeft = 40;
// Create the horizontal scale and its axis generator.
const x = d3.scaleBand()
.domain(d3.sort(data, d => -d.frequency).map(d => d.letter))
.range([marginLeft, width - marginRight])
.padding(0.1);
const xAxis = d3.axisBottom(x).tickSizeOuter(0);
// Create the vertical scale.
const y = d3.scaleLinear()
.domain([0, d3.max(data, d => d.frequency)]).nice()
.range([height - marginBottom, marginTop]);
// Create the SVG container and call the zoom behavior.
const svg = d3.create("svg")
.attr("viewBox", [0, 0, width, height])
.attr("width", width)
.attr("height", height)
.attr("style", "max-width: 100%; height: auto;")
.call(zoom);
// Append the bars.
svg.append("g")
.attr("class", "bars")
.attr("fill", "steelblue")
.selectAll("rect")
.data(data)
.join("rect")
.attr("x", d => x(d.letter))
.attr("y", d => y(d.frequency))
.attr("height", d => y(0) - y(d.frequency))
.attr("width", x.bandwidth());
// Append the axes.
svg.append("g")
.attr("class", "x-axis")
.attr("transform", `translate(0,${height - marginBottom})`)
.call(xAxis);
svg.append("g")
.attr("class", "y-axis")
.attr("transform", `translate(${marginLeft},0)`)
.call(d3.axisLeft(y))
.call(g => g.select(".domain").remove());
return svg.node();
function zoom(svg) {
const extent = [[marginLeft, marginTop], [width - marginRight, height - marginTop]];
svg.call(d3.zoom()
.scaleExtent([1, 8])
.translateExtent(extent)
.extent(extent)
.on("zoom", zoomed));
function zoomed(event) {
x.range([marginLeft, width - marginRight].map(d => event.transform.applyX(d)));
svg.selectAll(".bars rect").attr("x", d => x(d.letter)).attr("width", x.bandwidth());
svg.selectAll(".x-axis").call(xAxis);
}
}
}
data = FileAttachment("alphabet.csv").csv({typed: true})
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.
