Published
Edited
Feb 12, 2022
chart = {
const svg = d3.select(DOM.svg(0.5*width, height));
svg.append("g")
.selectAll("g")
.data(data)
.join("g")
.attr("transform", d => `translate(${x0(d[groupKey])},0)`)
.selectAll("rect")
.data(d => keys.map(key => ({key, value: d[key]})))
.join("rect")
.attr("x", d => x1(d.key))
.attr("y", d => y(d.value))
.attr("width", x1.bandwidth())
.attr("height", d => y(0) - y(d.value))
.attr("fill", d => color(d.key))
.append("title")
.text(d => `${d.value}`);
svg.append("g")
.call(xAxis)
.attr("stroke","#ffffff")
.style("font-size", "12px");
svg.append("g")
.call(yAxis)
.attr("stroke","#ffffff");
svg.append("g")
.call(legend);
return svg.node();
}
legend = svg => {
const g = svg
.attr("transform", `translate(${0.5*width},0)`)
.attr("text-anchor", "end")
.attr("font-family", "sans-serif")
.attr("font-size", 10)
.selectAll("g")
.data(color.domain().slice())
.join("g")
.attr("transform", (d, i) => `translate(0,${i * 20})`);
g.append("rect")
.attr("x", -19)
.attr("width", 19)
.attr("height", 19)
.attr("fill", color);
g.append("text")
.attr("fill","#ffffff")
.attr("x", -24)
.attr("y", 9.5)
.attr("dy", "0.35em")
.text(d => d);
}
x0 = d3.scaleBand()
.domain(data.map(d => d[groupKey]))
.rangeRound([margin.left, 0.5*width - margin.right])
.paddingInner(0.1)
x1 = d3.scaleBand()
.domain(keys)
.rangeRound([0, x0.bandwidth()])
.padding(0.05)
y = d3.scaleLinear()
.domain([0, 100]).nice()
.rangeRound([height - margin.bottom, margin.top])
color = d3.scaleOrdinal()
.range(["#3f68b6", "#e0773a", "#9b9b9b"])
xAxis = g => g
.attr("transform", `translate(0,${height - margin.bottom})`)
.call(d3.axisBottom(x0).tickSizeOuter(0))
.call(g => g.select(".domain").remove())
.style("color","#ffffff")
yAxis = g => g
.attr("transform", `translate(${margin.left},0)`)
.call(d3.axisLeft(y).ticks(null, "s"))
.call(g => g.select(".domain").remove())
.call(g => g.select(".tick:last-of-type text").clone()
.attr("x", 3)
.attr("text-anchor", "start")
.text(data.y))
.style("color","#ffffff")
data = Object.assign(d3.csvParse(await FileAttachment("Figure 5@2.csv").text(), d3.autoType), {y: "Success Rate(%)"})
groupKey = data.columns[0]
keys = data.columns.slice(1)
margin = ({top: 10, right: 10, bottom: 20, left: 40})
height = 260
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.
