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		<canvas id="mycanvas" width="1000" height="600" style="width:100%"></canvas>
		<script src=""></script>
				<script src=""></script>
		<script src=""></script>
		<script src=""></script>
		<script src=""></script>


                body {
  background: #000;
  margin: 0 auto;
  text-align: center;
  width: 96%;



For a single skeleton, each joint position is represented with 3 points (one for each co-ordinate). Each joint has a unique colour.

The value of each co-ordinate is mapped to the y-axis. The x position is random.

function BigData(canvas) {
  var width = 1000;
  var height = 600;

  var startTime =;

  // Set up color scale function
  var color = d3.scale.category20b();
  // Set up y-scale function
  var scale = d3.scale.linear().domain([-3, 6]).range([1000, 0]);

  // Set up scale to determine how much data will be displayed with respect to time
  var indexScale = d3.scale.threshold().domain([0, 54000, 70000, 84000, 120000, 154000, 167000, 200000, 230000]).range([0, 3, 10, 40, 10, 1, 60, 20, 10, 10]);

  var ctx = canvas.getContext('2d');
  ctx.fillStyle = "rgb(0,0,0)";
  ctx.fillRect(0, 0, this.width, this.height);
  this.draw = function(json) {
    if(json === undefined) {

    // getDataOfSkeleton returns the x and y positions of each joint as a single array of values
    var data = getDataOfSkeleton(json, 0);
    // Fade the canvase
    ctx.fillStyle = "rgba(0, 0, 0, 0.02)";
    ctx.fillRect(0, 0, width, height);

    // Draw the points!
    var indexThreshold = indexScale( - startTime);
    _.each(data, function(d, index) {
      if(index > indexThreshold)

      var x = Math.random() * width;
      var y = scale(d) % height;
      ctx.fillStyle = color(index % 20);
      drawCircle(ctx, x, y, 3);

// You can choose one of these to visualise a different dance



var dataFetcher = new ChunkedDataFetcher(DATASET_ALGORITHM);
var bigData = new BigData( document.getElementById('mycanvas'));
dataFetcher.drawFunction = function(json) {bigData.draw(json);}