margin = ({top: 20, right: 0, bottom: 30, left: 40})
[margin.left, width - margin.right] // the x-range
[height - margin.bottom, margin.top] // the y-range
width
height = 500
y = d3.scaleLinear()
.domain([0, d3.max(data, d => d.frequency)])
.range([height - margin.bottom, margin.top])
x = d3.scaleBand()
.domain(data.map(d => d.letter))
.rangeRound([margin.left, width - margin.right])
.padding(0.1)
{
const svg = d3.create("svg")
.attr("viewBox", [0, 0, width, height]);
svg.append("g")
.attr("transform", `translate(0,${height - margin.bottom})`)
.call(d3.axisBottom(x));
svg.append("g")
.attr("transform", `translate(${margin.left},0)`)
.call(d3.axisLeft(y));
return svg.node();
}
yTitle = g => g.append("text")
.attr("font-family", "sans-serif")
.attr("font-size", 10)
.attr("y", 10)
.text("↑ Frequency")
yAxis = g => g
.attr("transform", `translate(${margin.left},0)`)
.call(d3.axisLeft(y).ticks(null, "%"))
.call(g => g.select(".domain").remove())
xAxis = g => g
.attr("transform", `translate(0,${height - margin.bottom})`)
.call(d3.axisBottom(x).tickSizeOuter(0))
chart = {
const svg = d3.create("svg")
.attr("viewBox", [0, 0, width, height]);
svg.append("g")
.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());
svg.append("g")
.call(xAxis);
svg.append("g")
.call(yAxis);
svg.call(yTitle);
return svg.node();
}
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.
