// Dimensions of sunburst. var width = 750; var height = 600; var radius = Math.min(width, height) / 2; // Breadcrumb dimensions: width, height, spacing, width of tip/tail. var b = { w: 75, h: 30, s: 3, t: 10 }; // Mapping of step names to colors. var colors = { "API_RFS": "#512E5F", "BarryOMS": "#D68910", "BarryOMS_PTRADE": "#CB5F8D", "BBG_ESP": "#e63bd8", "BBG_RFS": "#BDC3C7", "FXC_PTRADE": "#F1C40F", "FXC_RFS": "#dbab00", "FXCall_ESP": "#3498DB", "FXCall_PTRADE": "#F1C40F", "FXCall_RFS": "#F1C40F", "Moon_OBO": "#73C6B6", "Moon_RFQ": "#7F8C8D", "SSX": "#f90800", "XB360T_ESP": "#8e1488", "XB360T_RFS": "#9a215e" // "Buy": "#5B5D87", // "Sell": "#B14E4C", // "USD": "#DDE2F5", // "USD": "#E93FB1", // "ZAR": "#77B7E3", // "JPY": "#54F659", // "AUD": "#751CD1", // "EUR": "#9E60A1", // "NZD": "#CC6E87", // "GBP": "#98152D", // "CHF": "#B64796", // "CNH": "#D40D02", // "CAD": "#B3BBCE", // "ILS": "#B5A2D0", // "HKD": "#AAC376", // "MXN": "#613E61", // "SGD": "#5AF44A", // "DKK": "#F0C782", // "NOK": "#55A5F5", // "THB": "#8E09E2", // "SEK": "#5A5B04", // "PLN": "#C832CD", // "TRY": "#DBD8D9", // "HUF": "#9CAC90", // "Murex": "#F821F6", // "BNZ": "#F3B7A5", }; function shadeColor2(color, percent) { var f=parseInt(color.slice(1),16),t=percent<0?0:255,p=percent<0?percent*-1:percent,R=f>>16,G=f>>8&0x00FF,B=f&0x0000FF; return "#"+(0x1000000+(Math.round((t-R)*p)+R)*0x10000+(Math.round((t-G)*p)+G)*0x100+(Math.round((t-B)*p)+B)).toString(16).slice(1); } function blendColors(c0, c1, p) { var f=parseInt(c0.slice(1),16),t=parseInt(c1.slice(1),16),R1=f>>16,G1=f>>8&0x00FF,B1=f&0x0000FF,R2=t>>16,G2=t>>8&0x00FF,B2=t&0x0000FF; return "#"+(0x1000000+(Math.round((R2-R1)*p)+R1)*0x10000+(Math.round((G2-G1)*p)+G1)*0x100+(Math.round((B2-B1)*p)+B1)).toString(16).slice(1); } function getcolor(d){ // .style("fill", function(d) { return colors[d.data.name]; }) if ( d.depth <= 1 ){ return colors[d.data.name]; } else { var sequenceArray = d.ancestors().reverse(); sequenceArray.shift(); // var class_color_index = sequenceArray[].name; // var class_color_index = sequenceArray[0].data.name; return shadeColor2(colors[sequenceArray[0].data.name], d.depth*0.125 ); // return colors[class_color_index]; } } // Total size of all segments; we set this later, after loading the data. var totalSize = 0; var vis = d3.select("#chart").append("svg:svg") .attr("width", width) .attr("height", height) .append("svg:g") .attr("id", "container") .attr("transform", "translate(" + width / 2 + "," + height / 2 + ")"); var partition = d3.partition() .size([2 * Math.PI, radius * radius]); var arc = d3.arc() .startAngle(function(d) { return d.x0; }) .endAngle(function(d) { return d.x1; }) .innerRadius(function(d) { return Math.sqrt(d.y0); }) .outerRadius(function(d) { return Math.sqrt(d.y1); }); // Use d3.text and d3.csvParseRows so that we do not need to have a header // row, and can receive the csv as an array of arrays. d3.text("visit-sequences.csv", function(text) { var csv = d3.csvParseRows(text); var json = buildHierarchy(csv); createVisualization(json); }); // Main function to draw and set up the visualization, once we have the data. function createVisualization(json) { // Basic setup of page elements. initializeBreadcrumbTrail(); drawLegend(); d3.select("#togglelegend").on("click", toggleLegend); // Bounding circle underneath the sunburst, to make it easier to detect // when the mouse leaves the parent g. vis.append("svg:circle") .attr("r", radius) .style("opacity", 0); // Turn the data into a d3 hierarchy and calculate the sums. var root = d3.hierarchy(json) .sum(function(d) { return d.size; }) .sort(function(a, b) { return b.value - a.value; }); // For efficiency, filter nodes to keep only those large enough to see. var nodes = partition(root).descendants() .filter(function(d) { return (d.x1 - d.x0 > 0.005); // 0.005 radians = 0.29 degrees }); var path = vis.data([json]).selectAll("path") .data(nodes) .enter().append("svg:path") .attr("display", function(d) { return d.depth ? null : "none"; }) .attr("d", arc) .attr("fill-rule", "evenodd") // .style("fill", function(d) { return colors[d.data.name]; }) .style("fill", function(d) { return getcolor(d); }) .style("opacity", 1) .on("mouseover", mouseover); // Add the mouseleave handler to the bounding circle. d3.select("#container").on("mouseleave", mouseleave); // Get total size of the tree = value of root node from partition. totalSize = path.datum().value; }; // Fade all but the current sequence, and show it in the breadcrumb trail. function mouseover(d) { var percentage = (100 * d.value / totalSize).toPrecision(3); var percentageString = percentage + "%" ; if (percentage < 0.1) { percentageString = "< 0.1%"; } var sequenceArray = d.ancestors().reverse(); sequenceArray.shift(); // remove root node from the array // percentageString = percentageString + " " + colors[sequenceArray[0].data.name]; d3.select("#percentage") .text(percentageString); d3.select("#explanation") .style("visibility", ""); updateBreadcrumbs(sequenceArray, percentageString); // Fade all the segments. d3.selectAll("path") .style("opacity", 0.3); // Then highlight only those that are an ancestor of the current segment. vis.selectAll("path") .filter(function(node) { return (sequenceArray.indexOf(node) >= 0); }) .style("opacity", 1); } // Restore everything to full opacity when moving off the visualization. function mouseleave(d) { // Hide the breadcrumb trail d3.select("#trail") .style("visibility", "hidden"); // Deactivate all segments during transition. d3.selectAll("path").on("mouseover", null); // Transition each segment to full opacity and then reactivate it. d3.selectAll("path") .transition() .duration(1000) .style("opacity", 1) .on("end", function() { d3.select(this).on("mouseover", mouseover); }); d3.select("#explanation") .style("visibility", "hidden"); } function initializeBreadcrumbTrail() { // Add the svg area. var trail = d3.select("#sequence").append("svg:svg") .attr("width", width) .attr("height", 50) .attr("id", "trail"); // Add the label at the end, for the percentage. trail.append("svg:text") .attr("id", "endlabel") .style("fill", "#000"); } // Generate a string that describes the points of a breadcrumb polygon. function breadcrumbPoints(d, i) { var points = []; points.push("0,0"); points.push(b.w + ",0"); points.push(b.w + b.t + "," + (b.h / 2)); points.push(b.w + "," + b.h); points.push("0," + b.h); if (i > 0) { // Leftmost breadcrumb; don't include 6th vertex. points.push(b.t + "," + (b.h / 2)); } return points.join(" "); } // Update the breadcrumb trail to show the current sequence and percentage. function updateBreadcrumbs(nodeArray, percentageString) { // Data join; key function combines name and depth (= position in sequence). var trail = d3.select("#trail") .selectAll("g") .data(nodeArray, function(d) { return d.data.name + d.depth; }); // Remove exiting nodes. trail.exit().remove(); // Add breadcrumb and label for entering nodes. var entering = trail.enter().append("svg:g"); entering.append("svg:polygon") .attr("points", breadcrumbPoints) .style("fill", function(d) { return getcolor(d) ; }); entering.append("svg:text") .attr("x", (b.w + b.t) / 2) .attr("y", b.h / 2) .attr("dy", "0.35em") .attr("text-anchor", "middle") .text(function(d) { return d.data.name; }); // Merge enter and update selections; set position for all nodes. entering.merge(trail).attr("transform", function(d, i) { return "translate(" + i * (b.w + b.s) + ", 0)"; }); // Now move and update the percentage at the end. d3.select("#trail").select("#endlabel") .attr("x", (nodeArray.length + 0.5) * (b.w + b.s)) .attr("y", b.h / 2) .attr("dy", "0.35em") .attr("text-anchor", "middle") .text(percentageString); // Make the breadcrumb trail visible, if it's hidden. d3.select("#trail") .style("visibility", ""); } function drawLegend() { // Dimensions of legend item: width, height, spacing, radius of rounded rect. var li = { w: 120, h: 30, s: 3, r: 3 }; var legend = d3.select("#legend").append("svg:svg") .attr("width", li.w) .attr("height", d3.keys(colors).length * (li.h + li.s)); var g = legend.selectAll("g") .data(d3.entries(colors)) .enter().append("svg:g") .attr("transform", function(d, i) { return "translate(0," + i * (li.h + li.s) + ")"; }); g.append("svg:rect") .attr("rx", li.r) .attr("ry", li.r) .attr("width", li.w) .attr("height", li.h) .style("fill", function(d) { return d.value; }); g.append("svg:text") .attr("x", li.w / 2) .attr("y", li.h / 2) .attr("dy", "0.35em") .attr("text-anchor", "middle") .text(function(d) { return d.key; }); } function toggleLegend() { var legend = d3.select("#legend"); if (legend.style("visibility") == "hidden") { legend.style("visibility", ""); } else { legend.style("visibility", "hidden"); } } // Take a 2-column CSV and transform it into a hierarchical structure suitable // for a partition layout. The first column is a sequence of step names, from // root to leaf, separated by hyphens. The second column is a count of how // often that sequence occurred. function buildHierarchy(csv) { var root = {"name": "root", "children": []}; for (var i = 0; i < csv.length; i++) { var sequence = csv[i][0]; var size = +csv[i][1]; if (isNaN(size)) { // e.g. if this is a header row continue; } var parts = sequence.split("-"); var currentNode = root; for (var j = 0; j < parts.length; j++) { var children = currentNode["children"]; var nodeName = parts[j]; var childNode; if (j + 1 < parts.length) { // Not yet at the end of the sequence; move down the tree. var foundChild = false; for (var k = 0; k < children.length; k++) { if (children[k]["name"] == nodeName) { childNode = children[k]; foundChild = true; break; } } // If we don't already have a child node for this branch, create it. if (!foundChild) { childNode = {"name": nodeName, "children": []}; children.push(childNode); } currentNode = childNode; } else { // Reached the end of the sequence; create a leaf node. childNode = {"name": nodeName, "size": size}; children.push(childNode); } } } return root; };