--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/toolkit/javascript/d3/examples/qq/qq.js	Thu Apr 10 14:20:23 2014 +0200
@@ -0,0 +1,66 @@
+var w = 280,
+    h = 280,
+    m = [10, 0, 20, 35], // top right bottom left
+    n = 10000; // number of samples to generate
+
+var chart = d3.chart.qq()
+    .width(w)
+    .height(h)
+    .domain([-.1, 1.1])
+    .tickFormat(function(d) { return ~~(d * 100); });
+
+var vis = d3.select("#chart")
+  .append("svg:svg")
+  .append("svg:g")
+    .attr("transform", "translate(" + m[3] + "," + m[0] + ")");
+
+d3.json("turkers.json", function(turkers) {
+  var tm = science.stats.mean(turkers),
+      td = Math.sqrt(science.stats.variance(turkers)),
+      dd = [
+        [0.10306430789206111, 0.0036139086950272735, 0.30498647327844536],
+        [0.5924252668569606, 0.0462763685758622, 0.4340870312025223],
+        [0.9847627827855167, 2.352350767874714e-4, 0.2609264955190324]
+      ];
+
+  var g = vis.selectAll("g")
+      .data([{
+        x: d3.range(n).map(Math.random),
+        y: turkers,
+        label: "Uniform Distribution"
+      }, {
+        x: d3.range(n).map(normal1(tm, td)),
+        y: turkers,
+        label: "Gaussian (Normal) Distribution"
+      }, {
+        x: d3.range(n).map(normal3(dd)),
+        y: turkers,
+        label: "Mixture of 3 Gaussians"
+      }])
+    .enter().append("svg:g")
+      .attr("class", "qq")
+      .attr("transform", function(d, i) { return "translate(" + (w + m[1] + m[3]) * i + ")"; });
+
+  g.append("svg:rect")
+      .attr("class", "box")
+      .attr("width", w)
+      .attr("height", h);
+
+  g.call(chart);
+
+  g.append("svg:text")
+      .attr("dy", "1.3em")
+      .attr("dx", ".6em")
+      .text(function(d) { return d.label; });
+
+  chart.duration(1000);
+
+  window.transition = function() {
+    g.map(randomize).call(chart);
+  };
+});
+
+function randomize(d) {
+  d.y = d3.range(n).map(Math.random);
+  return d;
+}