Published
Edited
Oct 9, 2020
d3 = require("d3@5");
data = Object.assign(d3.csvParse(await FileAttachment("alphabet.csv").text(), ({letter, frequency}) => ({name: letter, value: +frequency})).sort((a, b) => d3.descending(a.value, b.value)), {format: "%", y: "↑ Frequency"})
height = 300
margin = ({top:30, left:40, right:0, bottom:30})
x = d3.scaleBand()
.range([margin.left, width-margin.right])
.domain(d3.range(data.length))
.padding(0.1)
y = d3.scaleLinear()
.range([height-margin.bottom, margin.top])
.domain([0, d3.max(data, d=>d.value)]).nice()
xAxis = g => g
.attr("transform", `translate(0, ${height - margin.bottom})`)
.call(d3.axisBottom(x).tickFormat(i => data[i].name).tickSizeOuter(0))
yAxis = g =>
g.attr("transform", "translate(" + margin.left + ", 0)")
.call(d3.axisLeft(y))
chart = {
const svg = d3.create("svg")
.attr("viewBox", [0,0,width,height]);
// need to seperate the code: `.append("g")` with the `const svg = d3.create("svg")`
// otherwise, the svg can't be displayed
svg.append("g")
.attr("fill", "steelblue")
.selectAll("rect")
.data(data)
.join("rect")
.attr("x", (d,i) => x(i))
.attr("y", d => y(d.value))
.attr("width", x.bandwidth())
.attr("height", d => y(0) - y(d.value));
svg.append("g")
.call(xAxis);
svg.append("g")
.call(yAxis);
return svg.node();
}
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.
