Work in progress 🛠 Author of @yetibot 🤖
chart = {
console.log('received data', data);
const root = partition(data);
console.log('root', root);
root.each(d => d.current = d);
const svg = d3.create("svg")
.attr("viewBox", [0, 0, width, width])
.style("font", "10px sans-serif");
const g = svg.append("g")
.attr("transform", `translate(${width / 2},${width / 2})`);
const path = g.append("g")
.selectAll("path")
.data(root.descendants().slice(1))
.join("path")
.attr("fill", d => {
// console.log('initial d', !!d.children, d);
// traverse up the hierarchy to the top level parent
var p = d;
while (p.depth > 1) p = p.parent;
const parentData = p.data;
if (d.data.n)
console.log('color data', d.data.name, d.data.n, color(d.data.name));
if (d.data.mean) {
// we already pre computed the mean so use that with brpColor
return brpColor(d.data.mean);
} else if (d.children) {
console.log('parent color', typeof(color(parentData.name)), color(parentData.name));
return color(parentData.name);
} else {
// edge leaf so compute the number from the value
//
const c = d3.color(brpColor(d.data.value));
if (c) {
return c.toString();
}
}
})
// .attr("fill-opacity", d => arcVisible(d.current) ? (d.children ? 0.8 : 0.4) : 0)
.attr("fill-opacity", d => arcVisible(d.current) ? 1 : 0)
.attr("d", d => arc(d.current));
path.filter(d => d.children)
.style("cursor", "pointer")
.on("click", clicked);
path.append("title")
.text(d => `${d.ancestors().map(d => d.data.name).reverse().join(" / ")}\n${format(d.value)}`);
const label = g.append("g")
.attr("pointer-events", "none")
.attr("text-anchor", "middle")
.style("user-select", "none")
.selectAll("text")
.data(root.descendants().slice(1))
.join("text")
.attr("dy", "0.35em")
.attr("fill-opacity", d => +labelVisible(d.current))
.attr("transform", d => labelTransform(d.current))
.text(d => d.data.name);
const parent = g.append("circle")
.datum(root)
.attr("r", radius)
.attr("fill", "none")
.attr("pointer-events", "all")
.on("click", clicked);
const innerTitleLine1 = g.append("text")
.attr("pointer-events", "none")
.attr("text-anchor", "middle")
.style("user-select", "none")
.style("font-size", "3em")
.attr("dy", "-0.55em")
.attr("fill-opacity", 1)
.text(`Org`);
const innerTitleLine2 = g.append("text")
.attr("pointer-events", "none")
.attr("text-anchor", "middle")
.style("user-select", "none")
.style("font-size", "3em")
.attr("dy", "0.75em")
.attr("fill-opacity", 1)
.text(`N = ${data.n}`);
function clicked(p) {
parent.datum(p.parent || root);
innerTitleLine1.text(`${p.data.name}`);
innerTitleLine2.text(`N = ${p.data.n}`);
root.each(d => d.target = {
x0: Math.max(0, Math.min(1, (d.x0 - p.x0) / (p.x1 - p.x0))) * 2 * Math.PI,
x1: Math.max(0, Math.min(1, (d.x1 - p.x0) / (p.x1 - p.x0))) * 2 * Math.PI,
y0: Math.max(0, d.y0 - p.depth),
y1: Math.max(0, d.y1 - p.depth)
});
const t = g.transition().duration(900);
// Transition the data on all arcs, even the ones that aren’t visible,
// so that if this transition is interrupted, entering arcs will start
// the next transition from the desired position.
path.transition(t)
.tween("data", d => {
const i = d3.interpolate(d.current, d.target);
return t => d.current = i(t);
})
.filter(function(d) {
return +this.getAttribute("fill-opacity") || arcVisible(d.target);
})
// .attr("fill-opacity", d => arcVisible(d.target) ? (d.children ? 0.6 : 0.4) : 0)
.attr("fill-opacity", d => arcVisible(d.target) ? 1 : 0)
.attrTween("d", d => () => arc(d.current));
label.filter(function(d) {
return +this.getAttribute("fill-opacity") || labelVisible(d.target);
}).transition(t)
.attr("fill-opacity", d => +labelVisible(d.target))
.attrTween("transform", d => () => labelTransform(d.current));
}
function arcVisible(d) {
return d.y1 <= 3 && d.y0 >= 1 && d.x1 > d.x0;
}
function labelVisible(d) {
return d.y1 <= 3 && d.y0 >= 1 && (d.y1 - d.y0) * (d.x1 - d.x0) > 0.03;
}
function labelTransform(d) {
const x = (d.x0 + d.x1) / 2 * 180 / Math.PI;
const y = (d.y0 + d.y1) / 2 * radius;
return `rotate(${x - 90}) translate(${y},0) rotate(${x < 180 ? 0 : 180})`;
}
return svg.node();
}
data = {
const ungrouped = await d3.csv("https://gist.githubusercontent.com/devth/1446bd43cdb258c3bc8a4a3cf7a80a3e/raw/e45a2d8f7ee32d218ff0ed9f2faf7a0d45e5618a/data-v2.csv", d3.autoType);
window.ungrouped = ungrouped;
const drivers = [
"Abstraction",
"BRP Index",
"Collective Creativity",
"Executive Function",
"Exercise",
"Goal Directedness",
"Innovation Capacity",
"Learning Capacity",
"Learning",
"Nutrition",
"Quieting the Mind",
"Resilience",
"Self Leadership",
"Sleep/Wake",
"Social Safety",
];
window.drivers = drivers;
// Group by:
// Service Area
// Department
// Specialty
// Sub-Specialty
//
const computeInner = (name, children) => {
// aggregate child scores and compute N
const means = drivers.map(driver => {
const mean = parseInt(d3.mean(children, o => o[driver]));
return {
name: `${driver} - ${mean}`,
value: mean
}
});
window.means = means;
return {
name,
mean: d3.rollup(means, d => d3.mean(d, v => v.value)),
n: children.length,
children: means
};
};
window.d3 = d3;
return {
name: "Org",
n: ungrouped.length,
children: Array.from(
// At the top level we always group by Service Area
d3.group(ungrouped, d => d["Service Area"]),
([name, children]) => {
// conditionally group by department if it exists
if (_.every(children, child => child["Department"])) {
// Group by Department
const aggDepartment = Array.from(
d3.group(children, d => d["Department"]),
([name, children]) => {
if (_.every(children, child => child["Specialty"])) {
// Group by Specialty
const aggSpecialty = Array.from(
d3.group(children, d => d["Specialty"]),
([name, children]) => {
if (_.every(children, child => child["Sub-Specialty"])) {
// Group by sub-Specialty
const aggSubSpec = Array.from(
d3.group(children, d => d["Sub-Specialty"]),
([name, children]) => {
return computeInner(name, children);
}
);
const mean = d3.mean(aggSubSpec, d => d.mean);
return {
name,
n: children.length,
mean,
children: aggSubSpec
};
} else {
return computeInner(name, children);
}
}
);
const mean = d3.mean(aggSpecialty, d => d.mean);
if (!mean) {
console.warn('undefined mean', mean, name, aggSpecialty);
window.nomean = aggSpecialty;
}
return {
name,
n: children.length,
mean,
children: aggSpecialty
}
} else {
return computeInner(name, children);
}
}
);
return {
name,
mean: d3.mean(aggDepartment, d => d.mean),
n: children.length,
children: aggDepartment
};
} else {
console.warn('DOES NOT have Department', name);
// return as is
return computeInner(name, children);
}
}
)
};
}
brpColor = d3.scaleThreshold()
.domain(_.range(10, 101, 10))
.range([
"#F14431",
"#F56B32",
"#F88E35",
"#FBA233",
"#FEB936",
"#FAD038",
"#EDE13F",
"#C9DD48",
"#9ACD5F",
"#64C175"
]);
partition = data => {
const root = d3.hierarchy(data)
.sum(d => d.value)
.sort((a, b) => b.value - a.value);
return d3.partition()
.size([2 * Math.PI, root.height + 1])
(root);
}
color = d3.scaleOrdinal(d3.quantize(d3.interpolateRainbow, data.children.length + 1))
format = d3.format(",d")
width = 932
radius = width / 6
arc = d3.arc()
.startAngle(d => d.x0)
.endAngle(d => d.x1)
.padAngle(d => Math.min((d.x1 - d.x0) / 2, 0.005))
.padRadius(radius * 1.5)
.innerRadius(d => d.y0 * radius)
.outerRadius(d => Math.max(d.y0 * radius, d.y1 * radius - 1))
d3 = require("d3@5", "d3-array@2")
_ = require("lodash")
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.
