Data Scientist at Warwick Investment Group. Passionate about science, predictive modeling, and data visualizations.
chart = {
const root = treemap(data);
const svg = d3.create("svg")
.attr("viewBox", [0, 0, width, height])
.style("font", "10px sans-serif");
const leaf = svg.selectAll("g")
.data(root.leaves())
.join("g")
.attr("transform", d => `translate(${d.x0},${d.y0})`);
leaf.append("title")
.text(d => `${d.ancestors().reverse().map(d => d.data.id).join("/")}\n${format(d.value)}`);
leaf.append("rect")
.attr("id", d => (d.leafUid = DOM.uid("leaf")).id)
.attr("fill", d => { while (d.depth > 1) d = d.parent; return color(d.data.id); })
.attr("fill-opacity", 0.6)
.attr("width", d => d.x1 - d.x0)
.attr("height", d => d.y1 - d.y0);
leaf.append("clipPath")
.attr("id", d => (d.clipUid = DOM.uid("clip")).id)
.append("use")
.attr("xlink:href", d => d.leafUid.href);
leaf.append("text")
.attr("clip-path", d => d.clipUid)
.selectAll("tspan")
.data(d => d.data.id.split(/(?=[A-Z][^A-Z])/g).concat(format(d.value)))
.join("tspan")
.attr("x", 3)
.attr("y", (d, i, nodes) => `${(i === nodes.length - 1) * 0.3 + 1.1 + i * 0.9}em`)
.attr("fill-opacity", (d, i, nodes) => i === nodes.length - 1 ? 0.7 : null)
.text(d => d);
return svg.node();
}
data = d3.csvParse(await FileAttachment("flare.csv").text(), d3.autoType)
stratify = d3.stratify()
.id(d => d.id)
.parentId(d => d.id.substring(0, d.id.lastIndexOf(".")))
treemap = data => d3.treemap()
.tile(d3.treemapBinary)
.size([width, height])
.padding(1)
.round(true)
(stratify(data)
.sum(d => d.value)
.sort((a, b) => b.value - a.value))
width = 975
height = 1060
format = d3.format(",d")
color = d3.scaleOrdinal(d3.schemeCategory10)
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.
