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diff --git a/js/dojo/dojox/charting/plot2d/ClusteredColumns.js b/js/dojo/dojox/charting/plot2d/ClusteredColumns.js
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+++ b/js/dojo/dojox/charting/plot2d/ClusteredColumns.js
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+//>>built
+define("dojox/charting/plot2d/ClusteredColumns", ["dojo/_base/array", "dojo/_base/declare", "./Columns", "./common", 
+		"dojox/lang/functional", "dojox/lang/functional/reversed", "dojox/lang/utils"], 
+	function(arr, declare, Columns, dc, df, dfr, du){
+/*=====
+var Columns = dojox.charting.plot2d.Columns;
+=====*/
+
+	var purgeGroup = dfr.lambda("item.purgeGroup()");
+
+	return declare("dojox.charting.plot2d.ClusteredColumns", Columns, {
+		//	summary:
+		//		A plot representing grouped or clustered columns (vertical bars).
+		render: function(dim, offsets){
+			//	summary:
+			//		Run the calculations for any axes for this plot.
+			//	dim: Object
+			//		An object in the form of { width, height }
+			//	offsets: Object
+			//		An object of the form { l, r, t, b}.
+			//	returns: dojox.charting.plot2d.ClusteredColumns
+			//		A reference to this plot for functional chaining.
+			if(this.zoom && !this.isDataDirty()){
+				return this.performZoom(dim, offsets);
+			}
+			this.resetEvents();
+			this.dirty = this.isDirty();
+			if(this.dirty){
+				arr.forEach(this.series, purgeGroup);
+				this._eventSeries = {};
+				this.cleanGroup();
+				var s = this.group;
+				df.forEachRev(this.series, function(item){ item.cleanGroup(s); });
+			}
+			var t = this.chart.theme, f, gap, width, thickness,
+				ht = this._hScaler.scaler.getTransformerFromModel(this._hScaler),
+				vt = this._vScaler.scaler.getTransformerFromModel(this._vScaler),
+				baseline = Math.max(0, this._vScaler.bounds.lower),
+				baselineHeight = vt(baseline),
+				events = this.events();
+			f = dc.calculateBarSize(this._hScaler.bounds.scale, this.opt, this.series.length);
+			gap = f.gap;
+			width = thickness = f.size;
+			for(var i = 0; i < this.series.length; ++i){
+				var run = this.series[i], shift = thickness * i;
+				if(!this.dirty && !run.dirty){
+					t.skip();
+					this._reconnectEvents(run.name);
+					continue;
+				}
+				run.cleanGroup();
+				var theme = t.next("column", [this.opt, run]), s = run.group,
+					eventSeries = new Array(run.data.length);
+				for(var j = 0; j < run.data.length; ++j){
+					var value = run.data[j];
+					if(value !== null){
+						var v = typeof value == "number" ? value : value.y,
+							vv = vt(v),
+							height = vv - baselineHeight,
+							h = Math.abs(height),
+							finalTheme = typeof value != "number" ?
+								t.addMixin(theme, "column", value, true) :
+								t.post(theme, "column");
+						if(width >= 1 && h >= 0){
+							var rect = {
+								x: offsets.l + ht(j + 0.5) + gap + shift,
+								y: dim.height - offsets.b - (v > baseline ? vv : baselineHeight),
+								width: width, height: h
+							};
+							var specialFill = this._plotFill(finalTheme.series.fill, dim, offsets);
+							specialFill = this._shapeFill(specialFill, rect);
+							var shape = s.createRect(rect).setFill(specialFill).setStroke(finalTheme.series.stroke);
+							run.dyn.fill   = shape.getFill();
+							run.dyn.stroke = shape.getStroke();
+							if(events){
+								var o = {
+									element: "column",
+									index:   j,
+									run:     run,
+									shape:   shape,
+									x:       j + 0.5,
+									y:       v
+								};
+								this._connectEvents(o);
+								eventSeries[j] = o;
+							}
+							if(this.animate){
+								this._animateColumn(shape, dim.height - offsets.b - baselineHeight, h);
+							}
+						}
+					}
+				}
+				this._eventSeries[run.name] = eventSeries;
+				run.dirty = false;
+			}
+			this.dirty = false;
+			return this;	//	dojox.charting.plot2d.ClusteredColumns
+		}
+	});
+});