Data Scientist at Warwick Investment Group. Passionate about science, predictive modeling, and data visualizations.
chart = {
const svg = d3.create("svg").attr("viewBox", [0, 0, width, height]);
const { nodes, links } = sankey(data);
svg
.append("g")
.attr("stroke", "#000")
.selectAll("rect")
.data(nodes)
.join("rect")
.attr("x", d => d.x0)
.attr("y", d => d.y0)
.attr("height", d => d.y1 - d.y0)
.attr("width", d => d.x1 - d.x0)
.attr("fill", "red")
.append("title")
.text(d => `${d.name}\n${format(d.value)}`);
const link = svg
.append("g")
.attr("fill", "none")
.attr("stroke-opacity", 0.5)
.selectAll("g")
.data(links)
.join("g")
.style("mix-blend-mode", "multiply");
if (edgeColor === "path") {
const gradient = link
.append("linearGradient")
.attr("id", d => (d.uid = DOM.uid("link")).id)
.attr("gradientUnits", "userSpaceOnUse")
.attr("x1", d => d.source.x1)
.attr("x2", d => d.target.x0);
gradient
.append("stop")
.attr("offset", "0%")
.attr("stop-color", d => color(d.source.name));
gradient
.append("stop")
.attr("offset", "100%")
.attr("stop-color", d => color(d.target.name));
}
link
.append("path")
.attr("d", d3.sankeyLinkHorizontal())
.attr("stroke", d =>
edgeColor === "none"
? "#aaa"
: edgeColor === "path"
? d.uid
: edgeColor === "input"
? color(d.source.name)
: color(d.target.name)
)
.attr("stroke-width", d => Math.max(1, 2 * d.width));
link
.append("title")
.text(d => `${d.source.name} → ${d.target.name}\n${format(d.value)}`);
svg
.append("g")
.style("font", "11px sans-serif")
.style("fill", "black")
.style("font-weight", 'Bold')
.selectAll("text")
.data(nodes)
.join("text")
.attr("x", d => (d.x0 < width / 2 ? d.x1 + 6 : d.x0 - 6))
.attr("y", d => (d.y1 + d.y0) / 2)
.attr("dy", "0.35em")
.attr("text-anchor", d => (d.x0 < width / 2 ? "start" : "end"))
.text(d => d.name);
return svg.node();
}
sankey = {
const sankey = d3
.sankey()
.nodeAlign(d3[`sankey${align[0].toUpperCase()}${align.slice(1)}`])
.nodeWidth(15)
.nodePadding(10)
.extent([[1, 5], [width - 1, height - 5]]);
return ({ nodes, links }) =>
sankey({
nodes: nodes.map(d => Object.assign({}, d)),
links: links.map(d => Object.assign({}, d))
});
}
format = {
const f = d3.format(",.0f");
return d => `${f(d)} TWh`;
}
color = {
const color = d3.scaleOrdinal(d3.schemeCategory10);
return name => color(name.replace(/ .*/, ""));
}
data = d3.json(
"https://gist.githubusercontent.com/cbuie/7fece66f44235ab42e9c6f3b56aded5f/raw/0f9e403187f91bc6267e2f1e0b9ab03449c91727/2016_2018_energy_lending_data"
)
width = 975
height = 1600
d3 = require("d3@5", "d3-sankey@0.12")
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.
