Bubble charts encode data in the area of circles. Although less perceptually-accurate than bar charts, they can pack hundreds of values into a small space. Implementation based on work by Jeff Heer. Data shows the Flare class hierarchy, also courtesy Jeff Heer.
forked from mbostock's block: Bubble Chart
xxxxxxxxxx<meta charset="utf-8"><style>text { font: 10px sans-serif; text-anchor: middle;}</style><svg width="960" height="880"></svg><script src="https://d3js.org/d3.v4.min.js"></script><script>// create svg container var svg = d3.select("svg"), width = +svg.attr("width");// format functionvar format = d3.format(",d");// color scalevar color = d3.scaleOrdinal(d3.schemeCategory20c);// pack layout var pack = d3.pack() .size([width, width]) .padding(1.5); // async data loader d3.csv("flare.csv", function(d) { // format data, make sure value is numeric d.value = +d.value; if (d.value) return d; }, function(error, classes) { if (error) throw error; // create mai data object called root var root = d3.hierarchy({children: classes}) .sum(function(d) { return d.value; }) .each(function(d) { if (id = d.data.id) { var id, i = id.lastIndexOf("."); d.id = id; d.package = id.slice(0, i); d.class = id.slice(i + 1); } }); // convert root using pack(root).leaves, and use this as our main data var data = pack(root).leaves(); // append nodes: essentially here we just set up a collection // of well stratified g elements, of class 'node' var node = svg.selectAll(".node") .data(data) .enter().append("g") .attr("class", "node") // note if we use a g element we have to use translate .attr("transform", function(d) { return "translate(" + d.x + "," + d.y + ")"; }); // append a circle to each g node.append("circle") .attr("id", function(d) { return d.id; }) .attr("r", function(d) { return d.r; }) // style the circles via the color scale .style("fill", function(d) { return color(d.package); }); // append a clipPath to each g, this makes sure that text that falls // outside a circle will not be shown node.append("clipPath") .attr("id", function(d) { return "clip-" + d.id; }) .append("use") .attr("xlink:href", function(d) { return "#" + d.id; }); // append svg text elements to each g node.append("text") .attr("clip-path", function(d,i ) { return "url(#clip-" + d.id + ")"; }) .selectAll("tspan") // note for each h, // here we append new data, based on the already bound data d .data(function(d) { // the bound data is based on d.class // here d.class is text like 'ForceDirectedLayout' // we convert this into an array m, // which looks like var m = ["Force", "Directed", "Layout"] var m = d.class.split(/(?=[A-Z][^A-Z])/g); return m; }) // next, for each value in the array (m), we append a tspan element .enter().append("tspan") // here x is the center of the g element bound earlier .attr("x", 0) // for y we have to compute an offset per for each word .attr("y", function(d, i, nodes) { // d is the value in the array, i is the index // and nodes is the complete array i.e. m // here we use an offset to position each // new word an a new line var offset = (i - nodes.length / 2 - 0.5) * 10; return 13 + offset; }) // finally, we set the text in each tspan to d // (the current word in the array m) .text(function(d) { return d; }); // append a title element to each g // so if we mouse over we get some info on the underlying data node.append("title") .text(function(d) { return d.id + "\n" + format(d.value); }); });</script> https://d3js.org/d3.v4.min.js