Fix some errors with docs that were noticed when building

Update build & bump version

.gitignore

@@ -5,3 +5,7 @@ node_modules/*
 custom/*
 
 docs/index.md
+
+bower_components/
+
+coverage/*

.travis.yml

@@ -3,6 +3,11 @@ node_js:
   - "0.11"
   - "0.10"
 
+before_install:
+  - "export CHROME_BIN=chromium-browser"
+  - "export DISPLAY=:99.0"
+  - "sh -e /etc/init.d/xvfb start"
+
 before_script:
   - npm install
 
@@ -11,3 +16,5 @@ script:
 
 notifications:
   slack: chartjs:pcfCZR6ugg5TEcaLtmIfQYuA
+
+sudo: false

README.md

@@ -1,10 +1,34 @@
 # Chart.js 
 
-[![Build Status](https://travis-ci.org/nnnick/Chart.js.svg?branch=master)](https://travis-ci.org/nnnick/Chart.js) [![Code Climate](https://codeclimate.com/github/nnnick/Chart.js/badges/gpa.svg)](https://codeclimate.com/github/nnnick/Chart.js)
+[![Build Status](https://travis-ci.org/nnnick/Chart.js.svg?branch=v2.0-dev)](https://travis-ci.org/nnnick/Chart.js) [![Code Climate](https://codeclimate.com/github/nnnick/Chart.js/badges/gpa.svg)](https://codeclimate.com/github/nnnick/Chart.js)
 
 
 *Simple HTML5 Charts using the canvas element* [chartjs.org](http://www.chartjs.org)
 
+## v2.0 Beta
+
+Current Release: [2.0.0-beta](https://github.com/nnnick/Chart.js/releases/tag/2.0.0-beta)
+
+The next generation and release of Chart.js has been well under way this year and we are very close to releasing some amazing new features including, but not limited to:
+- Rewritten, optimized, and unit-tested
+- New and improved scales (log, time, linear, category, multiple scales)
+- Improved responsiveness and resizing
+- Powerful support for adding, removing, changing, and updating data on the fly
+- Animations on all elements, colors and tooltips
+- Powerful customization when you need it. Automatic and dynamic when you don't.
+- Excellent support for modern frameworks and modular build systems.
+- Even more extensible via new element controllers, combo chart support, and hook system
+- Bug fixes not addressed in 1.x, and much, much more...
+
+#####Contributing to 2.0
+Submit PR's to the v2.0-dev branch.
+
+#####Building and Testing
+`gulp build`, `gulp test`
+
+## v1.x Status: Feature Complete
+We are now treating v1.x as feature complete.  PR's for bug fixes are welcome, but we urge any open PR's for v1.x features to be refactored and resubmitted for v2.x (if the feature has not already been implemented).
+
 ## Documentation
 
 You can find documentation at [chartjs.org/docs](http://www.chartjs.org/docs/). The markdown files that build the site are available under `/docs`. Please note - in some of the json examples of configuration you might notice some liquid tags - this is just for the generating the site html, please disregard.

bower.json

@@ -1,11 +1,13 @@
 {
-  "name": "Chart.js",
-  "version": "1.0.2",
-  "description": "Simple HTML5 Charts using the canvas element",
-  "homepage": "https://github.com/nnnick/Chart.js",
-  "author": "nnnick",
-  "main": [
-    "Chart.js"
-  ],
-  "dependencies": {}
-}
+    "name": "Chart.js",
+    "version": "2.0.0-beta2",
+    "description": "Simple HTML5 Charts using the canvas element",
+    "homepage": "https://github.com/nnnick/Chart.js",
+    "author": "nnnick",
+    "main": [
+        "Chart.js"
+    ],
+    "devDependencies": {
+        "jquery": "~2.1.4"
+    }
+}

docs/00-Getting-Started.md

@@ -25,186 +25,200 @@ require(['path/to/Chartjs'], function(Chart){
 });
 ```
 
-You can also grab Chart.js using bower:
+You can also grab Chart.js using bower, npm, or CDN:
 
 ```bash
 bower install Chart.js --save
 ```
+```bash
+npm install chart.js --save
+```
 
-Also, Chart.js is available from CDN:
+https://cdnjs.cloudflare.com/ajax/libs/Chart.js/2.0.0-beta/Chart.js
 
-https://cdnjs.com/libraries/chart.js
+###Creating a Chart
 
-###Creating a chart
-
-To create a chart, we need to instantiate the `Chart` class. To do this, we need to pass in the 2d context of where we want to draw the chart. Here's an example.
+To create a chart, we need to instantiate the `Chart` class. To do this, we need to pass in the node, jQuery instance, or 2d context of the canvas of where we want to draw the chart. Here's an example.
 
 ```html
 <canvas id="myChart" width="400" height="400"></canvas>
 ```
 
 ```javascript
-// Get the context of the canvas element we want to select
+// Any of the following formats may be used
+var ctx = document.getElementById("myChart");
 var ctx = document.getElementById("myChart").getContext("2d");
-var myNewChart = new Chart(ctx).PolarArea(data);
+var ctx = $("#myChart");
 ```
 
-We can also get the context of our canvas with jQuery. To do this, we need to get the DOM node out of the jQuery collection, and call the `getContext("2d")` method on that.
+Once you have the element or context, you're ready to instantiate a pre-defined chart-type or create your own!
 
-```javascript
-// Get context with jQuery - using jQuery's .get() method.
-var ctx = $("#myChart").get(0).getContext("2d");
-// This will get the first returned node in the jQuery collection.
-var myNewChart = new Chart(ctx);
+The following example instantiates a bar chart showing the number of votes for different colors and the y-axis starting at 0.
+
+```html
+<canvas id="myChart" width="400" height="400"></canvas>
+<script>
+var ctx = document.getElementById("myChart");
+var myChart = new Chart(ctx, {
+		type: 'bar',
+		data: {
+			labels: ["Red", "Blue", "Yellow", "Green", "Purple", "Orange"],
+			datasets: [{
+					label: '# of Votes',
+					data: [12, 19, 3, 5, 2, 3]
+			}]
+		},
+		options:{
+			scales:{
+				yAxes:[{
+						ticks:{
+							beginAtZero:true
+						}
+					}]
+			}
+		}
+});
+</script>
 ```
 
-After we've instantiated the Chart class on the canvas we want to draw on, Chart.js will handle the scaling for retina displays.
-
-With the Chart class set up, we can go on to create one of the charts Chart.js has available. In the example below, we would be drawing a Polar area chart.
-
-```javascript
-new Chart(ctx).PolarArea(data, options);
-```
-
-We call a method of the name of the chart we want to create. We pass in the data for that chart type, and the options for that chart as parameters. Chart.js will merge the global defaults with chart type specific defaults, then merge any options passed in as a second argument after data.
+It's that easy to get started using Chart.js! From here you can explore the many options that can help you customise your charts with scales, tooltips, labels, colors, custom actions, and much more.
 
 ###Global chart configuration
 
 This concept was introduced in Chart.js 1.0 to keep configuration DRY, and allow for changing options globally across chart types, avoiding the need to specify options for each instance, or the default for a particular chart type.
 
-```javascript
-Chart.defaults.global = {
-	// Boolean - Whether to animate the chart
-	animation: true,
+Chart.js merges configurations and options in a few places with the global defaults using chart type defaults and scales defaults. This way you can be as specific as you want in your individual chart configs, or change the defaults for Chart.js as a whole.
 
-	// Number - Number of animation steps
-	animationSteps: 60,
+The global options are defined in `Chart.defaults.global`.
 
-	// String - Animation easing effect
-	// Possible effects are:
-	// [easeInOutQuart, linear, easeOutBounce, easeInBack, easeInOutQuad,
-	//  easeOutQuart, easeOutQuad, easeInOutBounce, easeOutSine, easeInOutCubic,
-	//  easeInExpo, easeInOutBack, easeInCirc, easeInOutElastic, easeOutBack,
-	//  easeInQuad, easeInOutExpo, easeInQuart, easeOutQuint, easeInOutCirc,
-	//  easeInSine, easeOutExpo, easeOutCirc, easeOutCubic, easeInQuint,
-	//  easeInElastic, easeInOutSine, easeInOutQuint, easeInBounce,
-	//  easeOutElastic, easeInCubic]
-	animationEasing: "easeOutQuart",
+Name | Type | Default | Description
+--- | --- | --- | ---
+responsive | Boolean | true | Resizes when the canvas container does.
+responsiveAnimationDuration | Number | 0 | Duration in milliseconds it takes to animate to new size after a resize event.
+maintainAspectRatio | Boolean | true | Maintain the original canvas aspect ratio `(width / height)` when resizing
+events | Array[String] | `["mousemove", "mouseout", "click", "touchstart", "touchmove", "touchend"]` | Events that the chart should listen to for tooltips and hovering
+hover |-|-|-
+*hover*.onHover | Function | null | Called when any of the events fire. Called in the context of the chart and passed an array of active elements (bars, points, etc)
+*hover*.mode | String | 'single' | Sets which elements hover. Acceptable options are `'single'`, `'label'`, or `'dataset'`. `single` highlights the closest element. `label` highlights elements in all datasets at the same `X` value. `dataset` highlights the closest dataset.
+*hover*.animationDuration | Number | 400 | Duration in milliseconds it takes to animate hover style changes
+onClick | Function | null | Called if the event is of type 'mouseup' or 'click'. Called in the context of the chart and passed an array of active elements
+defaultColor | Color | 'rgba(0,0,0,0.1)' |
+legendCallback | Function | ` function (chart) { // the chart object to generate a legend from.  }` | Function to generate a legend. Default implementation returns an HTML string.
 
-	// Boolean - If we should show the scale at all
-	showScale: true,
+The global options for the chart title is defined in `Chart.defaults.global.title`
 
-	// Boolean - If we want to override with a hard coded scale
-	scaleOverride: false,
+Name | Type | Default | Description
+--- | --- | --- | ---
+display | Boolean | true | Show the title block
+position | String | 'top' | Position of the title. 'top' or 'bottom' are allowed
+fullWidth | Boolean | true | Marks that this box should take the full width of the canvas (pushing down other boxes)
+fontColor | Color  | '#666' | Text color
+fontFamily | String | 'Helvetica Neue' |
+fontSize | Number | 12 | 
+fontStyle | String | 'bold' |
+padding | Number | 10 | Number of pixels to add above and below the title text
+text | String | '' | Title text
 
-	// ** Required if scaleOverride is true **
-	// Number - The number of steps in a hard coded scale
-	scaleSteps: null,
-	// Number - The value jump in the hard coded scale
-	scaleStepWidth: null,
-	// Number - The scale starting value
-	scaleStartValue: null,
+The global options for the chart legend is defined in `Chart.defaults.global.legend`
 
-	// String - Colour of the scale line
-	scaleLineColor: "rgba(0,0,0,.1)",
+Name | Type | Default | Description
+--- | --- | --- | ---
+display | Boolean | true | Is the legend displayed
+position | String | 'top' | Position of the legend. Options are 'top' or 'bottom'
+fullWidth | Boolean | true | Marks that this box should take the full width of the canvas (pushing down other boxes)
+onClick | Function | `function(event, legendItem) {}` | A callback that is called when a click is registered on top of a label item
+labels |-|-|-
+*labels*boxWidth | Number | 40 | Width of coloured box
+*labels*fontSize | Number | 12 | Font size
+*labels*fontStyle | String | "normal" |
+*labels*fontColor | Color | "#666" |
+*labels*fontFamily | String | "Helvetica Neue" |
+*labels*padding | Number | 10 | Padding between rows of colored boxes
+*labels*generateLabels: | Function | `function(data) {  } | Generates legend items for each thing in the legend. Default implementation returns the text + styling for the color box. Styles that can be returned are `fillStyle`, `strokeStyle`, `lineCap`, `lineDash`, `lineDashOffset`, `lineWidth`, `lineJoin`. Return a `hidden` attribute to indicate that the label refers to something that is not visible. A strikethrough style will be given to the text in this case.
 
-	// Number - Pixel width of the scale line
-	scaleLineWidth: 1,
+The global options for tooltips are defined in `Chart.defaults.global.tooltips`.
 
-	// Boolean - Whether to show labels on the scale
-	scaleShowLabels: true,
+Name | Type | Default | Description
+--- |:---:| --- | ---
+enabled | Boolean | true |
+custom | | null |
+mode | String | 'single' | Sets which elements appear in the tooltip. Acceptable options are `'single'` or `'label'`. `single` highlights the closest element. `label` highlights elements in all datasets at the same `X` value. 
+backgroundColor | Color | 'rgba(0,0,0,0.8)' | Background color of the tooltip
+ | | |
+Label | | | There are three labels you can control. `title`, `body`, `footer` the star (\*) represents one of these three. *(i.e. titleFontFamily, footerSpacing)*
+\*FontFamily | String | "'Helvetica Neue', 'Helvetica', 'Arial', sans-serif" |
+\*FontSize | Number | 12 |
+\*FontStyle | String | title - "bold", body - "normal", footer - "bold" |
+\*Spacing | Number | 2 |
+\*Color | Color | "#fff" |
+\*Align | String | "left" | text alignment. See [MDN Canvas Documentation](https://developer.mozilla.org/en-US/docs/Web/API/CanvasRenderingContext2D/textAlign)
+titleMarginBottom | Number | 6 | Margin to add on bottom of title section
+footerMarginTop | Number | 6 | Margin to add before drawing the footer
+xPadding | Number | 6 | Padding to add on left and right of tooltip
+yPadding | Number | 6 | Padding to add on top and bottom of tooltip
+caretSize | Number | 5 | Size, in px, of the tooltip arrow
+cornerRadius | Number | 6 | Radius of tooltip corner curves
+multiKeyBackground | Color | "#fff" | Color to draw behind the colored boxes when multiple items are in the tooltip
+ | | |
+callbacks | - | - |  V2.0 introduces callback functions as a replacement for the template engine in v1. The tooltip has the following callbacks for providing text. For all functions, 'this' will be the tooltip object create from the Chart.Tooltip constructor
+**Callback Functions** | | | All functions are called with the same arguments
+xLabel | String or Array[Strings] | | This is the xDataValue for each item to be displayed in the tooltip
+yLabel | String or Array[Strings] | | This is the yDataValue for each item to be displayed in the tooltip
+index | Number | | Data index.
+data | Object | | Data object passed to chart.
+`return`| String or Array[Strings] | | All functions must return either a string or an array of strings. Arrays of strings are treated as multiple lines of text.
+ | | |
+*callbacks*.beforeTitle | Function | none | Text to render before the title
+*callbacks*.title | Function | `function(tooltipItems, data) { //Pick first xLabel }` | Text to render as the title
+*callbacks*.afterTitle | Function | none | Text to render after the ttiel
+*callbacks*.beforeBody | Function | none | Text to render before the body section
+*callbacks*.beforeLabel | Function | none | Text to render before an individual label
+*callbacks*.label | Function | `function(tooltipItem, data) { // Returns "datasetLabel: tooltipItem.yLabel" }` | Text to render as label
+*callbacks*.afterLabel | Function | none | Text to render after an individual label
+*callbacks*.afterBody | Function | none | Text to render after the body section
+*callbacks*.beforeFooter | Function | none | Text to render before the footer section
+*callbacks*.footer | Function | none | Text to render as the footer
+*callbacks*.afterFooter | Function | none | Text to render after the footer section
 
-	// Interpolated JS string - can access value
-	scaleLabel: "<%=value%>",
+The global options for animations are defined in `Chart.defaults.global.animation`.
 
-	// Boolean - Whether the scale should stick to integers, not floats even if drawing space is there
-	scaleIntegersOnly: true,
+Name | Type | Default | Description
+--- |:---:| --- | ---
+duration | Number | 1000 | The number of milliseconds an animation takes.
+easing | String | "easeOutQuart" | Easing function to use. 
+onProgress | Function | none | Callback called on each step of an animation. Passed a single argument, an object, containing the chart instance and an object with details of the animation.
+onComplete | Function | none | Callback called at the end of an animation. Passed the same arguments as `onProgress
+`
+The global options for elements are defined in `Chart.defaults.global.elements`.
 
-	// Boolean - Whether the scale should start at zero, or an order of magnitude down from the lowest value
-	scaleBeginAtZero: false,
-
-	// String - Scale label font declaration for the scale label
-	scaleFontFamily: "'Helvetica Neue', 'Helvetica', 'Arial', sans-serif",
-
-	// Number - Scale label font size in pixels
-	scaleFontSize: 12,
-
-	// String - Scale label font weight style
-	scaleFontStyle: "normal",
-
-	// String - Scale label font colour
-	scaleFontColor: "#666",
-
-	// Boolean - whether or not the chart should be responsive and resize when the browser does.
-	responsive: false,
-
-	// Boolean - whether to maintain the starting aspect ratio or not when responsive, if set to false, will take up entire container
-	maintainAspectRatio: true,
-
-	// Boolean - Determines whether to draw tooltips on the canvas or not
-	showTooltips: true,
-
-	// Function - Determines whether to execute the customTooltips function instead of drawing the built in tooltips (See [Advanced - External Tooltips](#advanced-usage-custom-tooltips))
-	customTooltips: false,
-
-	// Array - Array of string names to attach tooltip events
-	tooltipEvents: ["mousemove", "touchstart", "touchmove"],
-
-	// String - Tooltip background colour
-	tooltipFillColor: "rgba(0,0,0,0.8)",
-
-	// String - Tooltip label font declaration for the scale label
-	tooltipFontFamily: "'Helvetica Neue', 'Helvetica', 'Arial', sans-serif",
-
-	// Number - Tooltip label font size in pixels
-	tooltipFontSize: 14,
-
-	// String - Tooltip font weight style
-	tooltipFontStyle: "normal",
-
-	// String - Tooltip label font colour
-	tooltipFontColor: "#fff",
-
-	// String - Tooltip title font declaration for the scale label
-	tooltipTitleFontFamily: "'Helvetica Neue', 'Helvetica', 'Arial', sans-serif",
-
-	// Number - Tooltip title font size in pixels
-	tooltipTitleFontSize: 14,
-
-	// String - Tooltip title font weight style
-	tooltipTitleFontStyle: "bold",
-
-	// String - Tooltip title font colour
-	tooltipTitleFontColor: "#fff",
-
-	// Number - pixel width of padding around tooltip text
-	tooltipYPadding: 6,
-
-	// Number - pixel width of padding around tooltip text
-	tooltipXPadding: 6,
-
-	// Number - Size of the caret on the tooltip
-	tooltipCaretSize: 8,
-
-	// Number - Pixel radius of the tooltip border
-	tooltipCornerRadius: 6,
-
-	// Number - Pixel offset from point x to tooltip edge
-	tooltipXOffset: 10,
-	{% raw %}
-	// String - Template string for single tooltips
-	tooltipTemplate: "<%if (label){%><%=label%>: <%}%><%= value %>",
-	{% endraw %}
-	// String - Template string for multiple tooltips
-	multiTooltipTemplate: "<%= value %>",
-
-	// Function - Will fire on animation progression.
-	onAnimationProgress: function(){},
-
-	// Function - Will fire on animation completion.
-	onAnimationComplete: function(){}
-}
-```
+Name | Type | Default | Description
+--- |:---:| --- | ---
+arc | - | - | -
+*arc*.backgroundColor | Color | `Chart.defaults.global.defaultColor` | Default fill color for arcs
+*arc*.borderColor | Color | "#fff" | Default stroke color for arcs
+*arc*.borderWidth | Number | 2 | Default stroke width for arcs
+line | - | - | -
+*line*.tension | Number | 0.4 | Default bezier curve tension. Set to `0` for no bezier curves.
+*line*.backgroundColor | Color | `Chart.defaults.global.defaultColor` | Default line fill color
+*line*.borderWidth | Number | 3 | Default line stroke width
+*line*.borderColor | Color | `Chart.defaults.global.defaultColor` | Default line stroke color
+*line*.borderCapStyle | String | 'butt' | Default line cap style. See [MDN](https://developer.mozilla.org/en/docs/Web/API/CanvasRenderingContext2D/lineCap)
+*line*.borderDash | Array | `[]` | Default line dash. See [MDN](https://developer.mozilla.org/en-US/docs/Web/API/CanvasRenderingContext2D/setLineDash)
+*line*.borderDashOffset | Number | 0.0 | Default line dash offset. See [MDN](https://developer.mozilla.org/en-US/docs/Web/API/CanvasRenderingContext2D/lineDashOffset)
+*line*.borderJoinStyle | String | 'miter' | Default line join style. See [MDN](https://developer.mozilla.org/en-US/docs/Web/API/CanvasRenderingContext2D/lineJoin)
+*line*.fill | Boolean | true | 
+point | - | - | -
+*point*.radius | Number | 3 | Default point radius
+*point*.backgroundColor | Color | `Chart.defaults.global.defaultColor` | Default point fill color
+*point*.borderWidth | Number | 1 | Default point stroke width
+*point*.borderColor | Color | `Chart.defaults.global.defaultColor` | Default point stroke color
+*point*.hitRadius | Number | 1 | Extra radius added to point radius for hit detection
+*point*.hoverRadius | Number | 4 | Default point radius when hovered
+*point*.hoverBorderWidth | Number | 1 | Default stroke width when hovered
+rectangle | - | - | -
+*rectangle*.backgroundColor | Color | `Chart.defaults.global.defaultColor` | Default bar fill color
+*rectangle*.borderWidth | Number | 0 | Default bar stroke width
+*rectangle*.borderColor | Color | `Chart.defaults.global.defaultColor` | Default bar stroke color
 
 If for example, you wanted all charts created to be responsive, and resize when the browser window does, the following setting can be changed:
 

docs/01-Line-Chart.md

@@ -1,169 +0,0 @@
----
-title: Line Chart
-anchor: line-chart
----
-###Introduction
-A line chart is a way of plotting data points on a line.
-
-Often, it is used to show trend data, and the comparison of two data sets.
-
-<div class="canvas-holder">
-	<canvas width="250" height="125"></canvas>
-</div>
-
-###Example usage
-```javascript
-var myLineChart = new Chart(ctx).Line(data, options);
-```
-###Data structure
-
-```javascript
-var data = {
-	labels: ["January", "February", "March", "April", "May", "June", "July"],
-	datasets: [
-		{
-			label: "My First dataset",
-			fillColor: "rgba(220,220,220,0.2)",
-			strokeColor: "rgba(220,220,220,1)",
-			pointColor: "rgba(220,220,220,1)",
-			pointStrokeColor: "#fff",
-			pointHighlightFill: "#fff",
-			pointHighlightStroke: "rgba(220,220,220,1)",
-			data: [65, 59, 80, 81, 56, 55, 40]
-		},
-		{
-			label: "My Second dataset",
-			fillColor: "rgba(151,187,205,0.2)",
-			strokeColor: "rgba(151,187,205,1)",
-			pointColor: "rgba(151,187,205,1)",
-			pointStrokeColor: "#fff",
-			pointHighlightFill: "#fff",
-			pointHighlightStroke: "rgba(151,187,205,1)",
-			data: [28, 48, 40, 19, 86, 27, 90]
-		}
-	]
-};
-```
-
-The line chart requires an array of labels for each of the data points. This is shown on the X axis.
-The data for line charts is broken up into an array of datasets. Each dataset has a colour for the fill, a colour for the line and colours for the points and strokes of the points. These colours are strings just like CSS. You can use RGBA, RGB, HEX or HSL notation.
-
-The label key on each dataset is optional, and can be used when generating a scale for the chart.
-
-### Chart options
-
-These are the customisation options specific to Line charts. These options are merged with the [global chart configuration options](#getting-started-global-chart-configuration), and form the options of the chart.
-
-```javascript
-{
-
-	///Boolean - Whether grid lines are shown across the chart
-	scaleShowGridLines : true,
-
-	//String - Colour of the grid lines
-	scaleGridLineColor : "rgba(0,0,0,.05)",
-
-	//Number - Width of the grid lines
-	scaleGridLineWidth : 1,
-
-	//Boolean - Whether to show horizontal lines (except X axis)
-	scaleShowHorizontalLines: true,
-
-	//Boolean - Whether to show vertical lines (except Y axis)
-	scaleShowVerticalLines: true,
-
-	//Boolean - Whether the line is curved between points
-	bezierCurve : true,
-
-	//Number - Tension of the bezier curve between points
-	bezierCurveTension : 0.4,
-
-	//Boolean - Whether to show a dot for each point
-	pointDot : true,
-
-	//Number - Radius of each point dot in pixels
-	pointDotRadius : 4,
-
-	//Number - Pixel width of point dot stroke
-	pointDotStrokeWidth : 1,
-
-	//Number - amount extra to add to the radius to cater for hit detection outside the drawn point
-	pointHitDetectionRadius : 20,
-
-	//Boolean - Whether to show a stroke for datasets
-	datasetStroke : true,
-
-	//Number - Pixel width of dataset stroke
-	datasetStrokeWidth : 2,
-
-	//Boolean - Whether to fill the dataset with a colour
-	datasetFill : true,
-	{% raw %}
-	//String - A legend template
-	legendTemplate : "<ul class=\"<%=name.toLowerCase()%>-legend\"><% for (var i=0; i<datasets.length; i++){%><li><span style=\"background-color:<%=datasets[i].strokeColor%>\"></span><%if(datasets[i].label){%><%=datasets[i].label%><%}%></li><%}%></ul>"
-	{% endraw %}
-
-	//Boolean - Whether to horizontally center the label and point dot inside the grid
-	offsetGridLines : false
-};
-```
-
-You can override these for your `Chart` instance by passing a second argument into the `Line` method as an object with the keys you want to override.
-
-For example, we could have a line chart without bezier curves between points by doing the following:
-
-```javascript
-new Chart(ctx).Line(data, {
-	bezierCurve: false
-});
-// This will create a chart with all of the default options, merged from the global config,
-// and the Line chart defaults, but this particular instance will have `bezierCurve` set to false.
-```
-
-We can also change these defaults values for each Line type that is created, this object is available at `Chart.defaults.Line`.
-
-
-### Prototype methods
-
-#### .getPointsAtEvent( event )
-
-Calling `getPointsAtEvent(event)` on your Chart instance passing an argument of an event, or jQuery event, will return the point elements that are at that the same position of that event.
-
-```javascript
-canvas.onclick = function(evt){
-	var activePoints = myLineChart.getPointsAtEvent(evt);
-	// => activePoints is an array of points on the canvas that are at the same position as the click event.
-};
-```
-
-This functionality may be useful for implementing DOM based tooltips, or triggering custom behaviour in your application.
-
-#### .update( )
-
-Calling `update()` on your Chart instance will re-render the chart with any updated values, allowing you to edit the value of multiple existing points, then render those in one animated render loop.
-
-```javascript
-myLineChart.datasets[0].points[2].value = 50;
-// Would update the first dataset's value of 'March' to be 50
-myLineChart.update();
-// Calling update now animates the position of March from 90 to 50.
-```
-
-#### .addData( valuesArray, label )
-
-Calling `addData(valuesArray, label)` on your Chart instance passing an array of values for each dataset, along with a label for those points.
-
-```javascript
-// The values array passed into addData should be one for each dataset in the chart
-myLineChart.addData([40, 60], "August");
-// This new data will now animate at the end of the chart.
-```
-
-#### .removeData( )
-
-Calling `removeData()` on your Chart instance will remove the first value for all datasets on the chart.
-
-```javascript
-myLineChart.removeData();
-// The chart will remove the first point and animate other points into place
-```

docs/01-Scales.md

@@ -0,0 +1,280 @@
+---
+title: Scales
+anchor: scales
+---
+
+Scales in v2.0 of Chart.js are significantly more powerful, but also different than those of v1.0.
+* Multiple x & y axes are now supported.
+* A built-in label auto-skip feature now detects would-be overlapping ticks and labels and removes every nth label to keep things displaying normally.
+* Scale titles are now supported
+* New scale types can be extended without writing an entirely new chart type
+
+Every scale extends a core scale class with the following options:
+
+Name | Type | Default | Description
+--- |:---:| --- | ---
+type | String | Chart specific. | Type of scale being employed. Custom scales can be created and registered with a string key. Options: ["category"](#scales-category-scale), ["linear"](#scales-linear-scale), ["logarithmic"](#scales-logarithmic-scale), ["time"](#scales-time-scale), ["radialLinear"](#scales-radial-linear-scale)
+display | Boolean | true | If true, show the scale including gridlines, ticks, and labels. Overrides *gridLines.display*, *scaleLabel.display*, and *ticks.display*.
+beforeUpdate | Function | undefined | Callback called before the update process starts. Passed a single argument, the scale instance.
+beforeSetDimensions | Function | undefined | Callback that runs before dimensions are set. Passed a single argument, the scale instance.
+afterSetDimensions | Function | undefined | Callback that runs after dimensions are set. Passed a single argument, the scale instance.
+beforeDataLimits | Function | undefined | Callback that runs before data limits are determined. Passed a single argument, the scale instance.
+afterDataLimits | Function | undefined | Callback that runs after data limits are determined. Passed a single argument, the scale instance.
+beforeBuildTicks | Function | undefined | Callback that runs before ticks are created. Passed a single argument, the scale instance.
+afterBuildTicks | Function | undefined | Callback that runs after ticks are created. Useful for filtering ticks. Passed a single argument, the scale instance.
+beforeTickToLabelConversion | Function | undefined | Callback that runs before ticks are converted into strings. Passed a single argument, the scale instance.
+afterTickToLabelConversion | Function | undefined | Callback that runs after ticks are converted into strings. Passed a single argument, the scale instance.
+beforeCalculateTickRotation | Function | undefined | Callback that runs before tick rotation is determined. Passed a single argument, the scale instance.
+afterCalculateTickRotation | Function | undefined | Callback that runs after tick rotation is determined. Passed a single argument, the scale instance.
+beforeFit | Function | undefined | Callback that runs before the scale fits to the canvas. Passed a single argument, the scale instance.
+afterFit | Function | undefined | Callback that runs after the scale fits to the canvas. Passed a single argument, the scale instance.
+afterUpdate | Function | undefined | Callback that runs at the end of the update process. Passed a single argument, the scale instance.
+**gridLines** | Array | - | Options for the grid lines that run perpendicular to the axis.
+*gridLines*.display | Boolean | true |
+*gridLines*.color | Color | "rgba(0, 0, 0, 0.1)" | Color of the grid lines.
+*gridLines*.lineWidth | Number | 1 | Stroke width of grid lines
+*gridLines*.drawOnChartArea | Boolean | true | If true, draw lines on the chart area inside the axis lines. This is useful when there are multiple axes and you need to control which grid lines are drawn
+*gridLines*.drawTicks | Boolean | true |  If true, draw lines beside the ticks in the axis area beside the chart.
+*gridLines*.zeroLineWidth | Number | 1 | Stroke width of the grid line for the first index (index 0).
+*gridLines*.zeroLineColor | Color | "rgba(0, 0, 0, 0.25)" | Stroke color of the grid line for the first index (index 0).
+*gridLines*.offsetGridLines | Boolean | false | If true, offset labels from grid lines.
+**scaleLabel** | Array | | Title for the entire axis.
+*scaleLabel*.display | Boolean | false | 
+*scaleLabel*.labelString | String | "" | The text for the title. (i.e. "# of People", "Response Choices")
+*scaleLabel*.fontColor | Color | "#666" | Font color for the scale title.
+*scaleLabel*.fontFamily| String | "Helvetica Neue" | Font family for the scale title, follows CSS font-family options.
+*scaleLabel*.fontSize | Number | 12 | Font size for the scale title.
+*scaleLabel*.fontStyle | String | "normal" | Font style for the scale title, follows CSS font-style options (i.e. normal, italic, oblique, initial, inherit).
+**ticks** | Array | | Settings for the labels that run along the axis.
+*ticks*.beginAtZero | Boolean | false | If true the scale will be begin at 0, if false the ticks will begin at your smallest data value.
+*ticks*.fontColor | Color | "#666" | Font color for the tick labels.
+*ticks*.fontFamily | String | "Helvetica Neue" | Font family for the tick labels, follows CSS font-family options.
+*ticks*.fontSize | Number | 12 | Font size for the tick labels.
+*ticks*.fontStyle | String | "normal" | Font style for the tick labels, follows CSS font-style options (i.e. normal, italic, oblique, initial, inherit).
+*ticks*.maxRotation | Number | 90 | Maximum rotation for tick labels when rotating to condense labels. Note: Rotation doesn't occur until necessary. *Note: Only applicable to horizontal scales.*
+*ticks*.minRotation | Number |  20 | *currently not-implemented* Minimum rotation for tick labels when condensing is necessary.  *Note: Only applicable to horizontal scales.*
+*ticks*.padding | Number | 10 | Padding between the tick label and the axis. *Note: Only applicable to horizontal scales.*
+*ticks*.mirror | Boolean | false | Flips tick labels around axis, displaying the labels inside the chart instead of outside. *Note: Only applicable to vertical scales.*
+*ticks*.reverse | Boolean | false | Reverses order of tick labels.
+*ticks*.display | Boolean | true | If true, show the ticks.
+*ticks*.suggestedMin | Number | - | User defined minimum number for the scale, overrides minimum value *except for if* it is higher than the minimum value.
+*ticks*.suggestedMax | Number | - | User defined maximum number for the scale, overrides maximum value *except for if* it is lower than the maximum value.
+*ticks*.min | Number | - | User defined minimum number for the scale, overrides minimum value
+*ticks*.max | Number | - | User defined minimum number for the scale, overrides maximum value
+*ticks*.autoSkip | Boolean | true | If true, automatically calculates how many labels that can be shown and hides labels accordingly. Turn it off to show all labels no matter what
+*ticks*.callback | Function | `function(value) { return '' + value; } ` | Returns the string representation of the tick value as it should be displayed on the chart.
+
+The `callback` method may be used for advanced tick customization. The following callback would display every label in scientific notation
+```javascript
+{
+    scales: {
+        xAxes: [{
+            ticks: {
+                // Return an empty string to draw the tick line but hide the tick label
+                // Return `null` or `undefined` to hide the tick line entirely
+               	userCallback: function(value, index, values) {
+    				return value.toExponential();
+    			}
+            }
+        }]
+    }
+}
+```
+
+### Category Scale
+The category scale will be familiar to those who have used v1.0. Labels are drawn in from the labels array included in the chart data.
+
+The category scale extends the core scale class with the following tick template:
+
+```javascript
+{
+	position: "bottom",
+}
+```
+
+### Linear Scale
+The linear scale can be used to display numerical data. It can be placed on either the x or y axis. The scatter chart type automatically configures a line chart to use one of these scales for the x axis.
+
+The linear scale extends the core scale class with the following tick template:
+
+```javascript
+{
+	position: "left",
+    ticks: {
+        callback: function(tickValue, index, ticks) {
+            var delta = ticks[1] - ticks[0];
+
+            // If we have a number like 2.5 as the delta, figure out how many decimal places we need
+            if (Math.abs(delta) > 1) {
+                if (tickValue !== Math.floor(tickValue)) {
+                    // not an integer
+                    delta = tickValue - Math.floor(tickValue);
+                }
+            }
+
+            var logDelta = helpers.log10(Math.abs(delta));
+            var tickString = '';
+
+            if (tickValue !== 0) {
+                var numDecimal = -1 * Math.floor(logDelta);
+                numDecimal = Math.max(Math.min(numDecimal, 20), 0); // toFixed has a max of 20 decimal places
+                tickString = tickValue.toFixed(numDecimal);
+            } else {
+            	tickString = '0'; // never show decimal places for 0
+            }
+
+      		return tickString;
+      	}
+    }
+}
+```
+
+### Logarithmic Scale
+The logarithmic scale is used to display logarithmic data of course. It can be placed on either the x or y axis.
+
+The log scale extends the core scale class with the following tick template:
+
+```javascript
+{
+	position: "left",
+	ticks: {
+		callback: function(value) {
+			var remain = value / (Math.pow(10, Math.floor(Chart.helpers.log10(value))));
+
+        	if (remain === 1 || remain === 2 || remain === 5) {
+        		return value.toExponential();
+        	} else {
+        		return '';
+        	}
+        }
+	}
+}
+```
+
+### Time Scale
+The time scale is used to display times and dates. It can be placed on the x axis. When building its ticks, it will automatically calculate the most comfortable unit base on the size of the scale.
+
+The time scale extends the core scale class with the following tick template:
+
+```javascript
+{
+	position: "bottom",
+	time: {
+		// string/callback - By default, date objects are expected. You may use a pattern string from http://momentjs.com/docs/#/parsing/string-format/ to parse a time string format, or use a callback function that is passed the label, and must return a moment() instance.
+		format: false,
+		// string - By default, unit will automatically be detected.  Override with 'week', 'month', 'year', etc. (see supported time measurements)
+		unit: false,
+		// string - By default, no rounding is applied.  To round, set to a supported time unit eg. 'week', 'month', 'year', etc.
+		round: false,
+		// Moment js for each of the units. Replaces `displayFormat`
+		// To override, use a pattern string from http://momentjs.com/docs/#/displaying/format/
+		displayFormats: {
+			'millisecond': 'SSS [ms]',
+			'second': 'h:mm:ss a', // 11:20:01 AM
+			'minute': 'h:mm:ss a', // 11:20:01 AM
+			'hour': 'MMM D, hA', // Sept 4, 5PM
+			'day': 'll', // Sep 4 2015
+			'week': 'll', // Week 46, or maybe "[W]WW - YYYY" ?
+			'month': 'MMM YYYY', // Sept 2015
+			'quarter': '[Q]Q - YYYY', // Q3
+			'year': 'YYYY', // 2015
+		},
+		// Sets the display format used in tooltip generation
+		tooltipFormat: ''
+	},
+}
+```
+
+The following time measurements are supported:
+
+```javascript
+{
+	'millisecond': {
+		display: 'SSS [ms]', // 002 ms
+		maxStep: 1000,
+	},
+	'second': {
+		display: 'h:mm:ss a', // 11:20:01 AM
+		maxStep: 60,
+	},
+	'minute': {
+		display: 'h:mm:ss a', // 11:20:01 AM
+		maxStep: 60,
+	},
+	'hour': {
+		display: 'MMM D, hA', // Sept 4, 5PM
+		maxStep: 24,
+	},
+	'day': {
+		display: 'll', // Sep 4 2015
+		maxStep: 7,
+	},
+	'week': {
+		display: 'll', // Week 46, or maybe "[W]WW - YYYY" ?
+		maxStep: 4.3333,
+	},
+	'month': {
+		display: 'MMM YYYY', // Sept 2015
+		maxStep: 12,
+	},
+	'quarter': {
+		display: '[Q]Q - YYYY', // Q3
+		maxStep: 4,
+	},
+	'year': {
+		display: 'YYYY', // 2015
+		maxStep: false,
+	},
+}
+```
+
+### Radial Linear Scale
+The radial linear scale is used specifically for the radar chart type.
+
+The radial linear scale extends the core scale class with the following tick template:
+
+```javascript
+{
+	animate: true,
+	lineArc: false,
+	position: "chartArea",
+
+	angleLines: {
+		display: true,
+		color: "rgba(0, 0, 0, 0.1)",
+		lineWidth: 1
+	},
+
+	// label settings
+	ticks: {
+		//Boolean - Show a backdrop to the scale label
+		showLabelBackdrop: true,
+
+		//String - The colour of the label backdrop
+		backdropColor: "rgba(255,255,255,0.75)",
+
+		//Number - The backdrop padding above & below the label in pixels
+		backdropPaddingY: 2,
+
+		//Number - The backdrop padding to the side of the label in pixels
+		backdropPaddingX: 2,
+
+		//Number - Limit the maximum number of ticks
+		maxTicksLimit: 11,
+	},
+
+	pointLabels: {
+		//String - Point label font declaration
+		fontFamily: "'Arial'",
+
+		//String - Point label font weight
+		fontStyle: "normal",
+
+		//Number - Point label font size in pixels
+		fontSize: 10,
+
+		//String - Point label font colour
+		fontColor: "#666",
+	},
+}
+```

docs/02-Bar-Chart.md

@@ -1,149 +0,0 @@
----
-title: Bar Chart
-anchor: bar-chart
----
-
-### Introduction
-A bar chart is a way of showing data as bars.
-
-It is sometimes used to show trend data, and the comparison of multiple data sets side by side.
-
-<div class="canvas-holder">
-	<canvas width="250" height="125"></canvas>
-</div>
-
-### Example usage
-```javascript
-var myBarChart = new Chart(ctx).Bar(data, options);
-```
-
-### Data structure
-
-```javascript
-var data = {
-	labels: ["January", "February", "March", "April", "May", "June", "July"],
-	datasets: [
-		{
-			label: "My First dataset",
-			fillColor: "rgba(220,220,220,0.5)",
-			strokeColor: "rgba(220,220,220,0.8)",
-			highlightFill: "rgba(220,220,220,0.75)",
-			highlightStroke: "rgba(220,220,220,1)",
-			data: [65, 59, 80, 81, 56, 55, 40]
-		},
-		{
-			label: "My Second dataset",
-			fillColor: "rgba(151,187,205,0.5)",
-			strokeColor: "rgba(151,187,205,0.8)",
-			highlightFill: "rgba(151,187,205,0.75)",
-			highlightStroke: "rgba(151,187,205,1)",
-			data: [28, 48, 40, 19, 86, 27, 90]
-		}
-	]
-};
-```
-The bar chart has the a very similar data structure to the line chart, and has an array of datasets, each with colours and an array of data. Again, colours are in CSS format.
-We have an array of labels too for display. In the example, we are showing the same data as the previous line chart example.
-
-The label key on each dataset is optional, and can be used when generating a scale for the chart.
-
-### Chart Options
-
-These are the customisation options specific to Bar charts. These options are merged with the [global chart configuration options](#getting-started-global-chart-configuration), and form the options of the chart.
-
-```javascript
-{
-	//Boolean - Whether the scale should start at zero, or an order of magnitude down from the lowest value
-	scaleBeginAtZero : true,
-
-	//Boolean - Whether grid lines are shown across the chart
-	scaleShowGridLines : true,
-
-	//String - Colour of the grid lines
-	scaleGridLineColor : "rgba(0,0,0,.05)",
-
-	//Number - Width of the grid lines
-	scaleGridLineWidth : 1,
-
-	//Boolean - Whether to show horizontal lines (except X axis)
-	scaleShowHorizontalLines: true,
-
-	//Boolean - Whether to show vertical lines (except Y axis)
-	scaleShowVerticalLines: true,
-
-	//Boolean - If there is a stroke on each bar
-	barShowStroke : true,
-
-	//Number - Pixel width of the bar stroke
-	barStrokeWidth : 2,
-
-	//Number - Spacing between each of the X value sets
-	barValueSpacing : 5,
-
-	//Number - Spacing between data sets within X values
-	barDatasetSpacing : 1,
-	{% raw %}
-	//String - A legend template
-	legendTemplate : "<ul class=\"<%=name.toLowerCase()%>-legend\"><% for (var i=0; i<datasets.length; i++){%><li><span style=\"background-color:<%=datasets[i].fillColor%>\"></span><%if(datasets[i].label){%><%=datasets[i].label%><%}%></li><%}%></ul>"
-	{% endraw %}
-}
-```
-
-You can override these for your `Chart` instance by passing a second argument into the `Bar` method as an object with the keys you want to override.
-
-For example, we could have a bar chart without a stroke on each bar by doing the following:
-
-```javascript
-new Chart(ctx).Bar(data, {
-	barShowStroke: false
-});
-// This will create a chart with all of the default options, merged from the global config,
-//  and the Bar chart defaults but this particular instance will have `barShowStroke` set to false.
-```
-
-We can also change these defaults values for each Bar type that is created, this object is available at `Chart.defaults.Bar`.
-
-### Prototype methods
-
-#### .getBarsAtEvent( event )
-
-Calling `getBarsAtEvent(event)` on your Chart instance passing an argument of an event, or jQuery event, will return the bar elements that are at that the same position of that event.
-
-```javascript
-canvas.onclick = function(evt){
-	var activeBars = myBarChart.getBarsAtEvent(evt);
-	// => activeBars is an array of bars on the canvas that are at the same position as the click event.
-};
-```
-
-This functionality may be useful for implementing DOM based tooltips, or triggering custom behaviour in your application.
-
-#### .update( )
-
-Calling `update()` on your Chart instance will re-render the chart with any updated values, allowing you to edit the value of multiple existing points, then render those in one animated render loop.
-
-```javascript
-myBarChart.datasets[0].bars[2].value = 50;
-// Would update the first dataset's value of 'March' to be 50
-myBarChart.update();
-// Calling update now animates the position of March from 90 to 50.
-```
-
-#### .addData( valuesArray, label )
-
-Calling `addData(valuesArray, label)` on your Chart instance passing an array of values for each dataset, along with a label for those bars.
-
-```javascript
-// The values array passed into addData should be one for each dataset in the chart
-myBarChart.addData([40, 60], "August");
-// The new data will now animate at the end of the chart.
-```
-
-#### .removeData( )
-
-Calling `removeData()` on your Chart instance will remove the first value for all datasets on the chart.
-
-```javascript
-myBarChart.removeData();
-// The chart will now animate and remove the first bar
-```

docs/02-Line-Chart.md

@@ -0,0 +1,154 @@
+---
+title: Line Chart
+anchor: line-chart
+---
+###Introduction
+A line chart is a way of plotting data points on a line.
+
+Often, it is used to show trend data, and the comparison of two data sets.
+
+<div class="canvas-holder">
+	<canvas width="250" height="125"></canvas>
+</div>
+
+###Example usage
+```javascript
+var myLineChart = new Chart(ctx, {
+	type: 'line',
+	data: data,
+	options: options
+});
+```
+
+Alternatively a line chart can be created using syntax similar to the v1.0 syntax
+```javascript
+var myLineChart = Chart.Line(ctx, {
+	data: data,
+	options: options
+});
+```
+###Data structure
+
+```javascript
+var data = {
+	labels: ["January", "February", "March", "April", "May", "June", "July"],
+	datasets: [
+		{
+			label: "My First dataset",
+
+			// Boolean - if true fill the area under the line
+			fill: false,
+
+			// String - the color to fill the area under the line with if fill is true
+			backgroundColor: "rgba(220,220,220,0.2)",
+
+			// The properties below allow an array to be specified to change the value of the item at the given index
+
+			// String or array - Line color
+			borderColor: "rgba(220,220,220,1)",
+
+			// String - cap style of the line. See https://developer.mozilla.org/en-US/docs/Web/API/CanvasRenderingContext2D/lineCap
+            borderCapStyle: 'butt',
+
+            // Array - Length and spacing of dashes. See https://developer.mozilla.org/en-US/docs/Web/API/CanvasRenderingContext2D/setLineDash
+            borderDash: [],
+
+            // Number - Offset for line dashes. See https://developer.mozilla.org/en-US/docs/Web/API/CanvasRenderingContext2D/lineDashOffset
+            borderDashOffset: 0.0,
+
+            // String - line join style. See https://developer.mozilla.org/en-US/docs/Web/API/CanvasRenderingContext2D/lineJoin
+            borderJoinStyle: 'miter',
+
+			// String or array - Point stroke color
+			pointBorderColor: "rgba(220,220,220,1)",
+
+			// String or array - Point fill color
+			pointBackgroundColor: "#fff",
+
+			// Number or array - Stroke width of point border
+			pointBorderWidth: 1,
+
+			// Number or array - Radius of point when hovered
+			pointHoverRadius: 5,
+
+			// String or array - point background color when hovered
+			pointHoverBackgroundColor: "rgba(220,220,220,1)",
+
+			// Point border color when hovered
+			pointHoverBorderColor: "rgba(220,220,220,1)",
+
+			// Number or array - border width of point when hovered
+			pointHoverBorderWidth: 2,
+
+			// Tension - bezier curve tension of the line. Set to 0 to draw straight Wlines connecting points
+			tension: 0.1,
+
+			// The actual data
+			data: [65, 59, 80, 81, 56, 55, 40],
+
+			// String - If specified, binds the dataset to a certain y-axis. If not specified, the first y-axis is used.
+			yAxisID: "y-axis-1",
+		},
+		{
+			label: "My Second dataset",
+			fill: false,
+			backgroundColor: "rgba(220,220,220,0.2)",
+			borderColor: "rgba(220,220,220,1)",
+			pointBorderColor: "rgba(220,220,220,1)",
+			pointBackgroundColor: "#fff",
+			pointBorderWidth: 1,
+			pointHoverRadius: 5,
+			pointHoverBackgroundColor: "rgba(220,220,220,1)",
+			pointHoverBorderColor: "rgba(220,220,220,1)",
+			pointHoverBorderWidth: 2,
+			data: [28, 48, 40, 19, 86, 27, 90]
+		}
+	]
+};
+```
+
+The line chart requires an array of labels for each of the data points. This is shown on the X axis.
+The data for line charts is broken up into an array of datasets. Each dataset has a colour for the fill, a colour for the line and colours for the points and strokes of the points. These colours are strings just like CSS. You can use RGBA, RGB, HEX or HSL notation.
+
+The label key on each dataset is optional, and can be used when generating a scale for the chart.
+
+### Chart options
+
+These are the customisation options specific to Line charts. These options are merged with the [global chart configuration options](#getting-started-global-chart-configuration), and form the options of the chart.
+
+The default options for line chart are defined in `Chart.defaults.Line`.
+
+Name | Type | Default | Description
+--- | --- | --- | ---
+stacked | Boolean | false | If true, lines stack on top of each other along the y axis.
+*hover*.mode | String | "label" | Label's hover mode. "label" is used since the x axis displays data by the index in the dataset.
+scales | - | - | -
+*scales*.xAxes | Array | `[{type:"category","id":"x-axis-1"}]` | Defines all of the x axes used in the chart. See the [scale documentation](#getting-started-scales) for details on the available options.
+*Options for xAxes* | | |
+type | String | "category" | As defined in ["Category"](#scales-category-scale).
+id | String | "x-axis-1" | Id of the axis so that data can bind to it.
+ | | |
+ *scales*.yAxes | Array | `[{type:"linear","id":"y-axis-1"}]` | Defines all of the x axes used in the chart. See the [scale documentation](#getting-started-scales) for details on the available options.
+ *Options for yAxes* | | |
+ type | String | "linear" | As defined in ["Linear"](#scales-linear-scale).
+ id | String | "y-axis-1" | Id of the axis so that data can bind to it.
+
+You can override these for your `Chart` instance by passing a member `options` into the `Line` method.
+
+For example, we could have a line chart display without an x axis by doing the following. The config merge is smart enough to handle arrays so that you do not need to specify all axis settings to change one thing.
+
+```javascript
+new Chart(ctx, {
+	type: 'line',
+	data: data,
+	options: {
+		xAxes: [{
+			display: false
+		}]
+	}
+});
+// This will create a chart with all of the default options, merged from the global config,
+// and the Line chart defaults, but this particular instance will have the x axis not displaying.
+```
+
+We can also change these defaults values for each Line type that is created, this object is available at `Chart.defaults.line`.

docs/03-Bar-Chart.md

@@ -0,0 +1,155 @@
+---
+title: Bar Chart
+anchor: bar-chart
+---
+
+### Introduction
+A bar chart is a way of showing data as bars.
+
+It is sometimes used to show trend data, and the comparison of multiple data sets side by side.
+
+<div class="canvas-holder">
+	<canvas width="250" height="125"></canvas>
+</div>
+
+### Example usage
+```javascript
+var myBarChart = new Chart(ctx,{
+	type: 'bar',
+	data: data,
+	options: options
+});
+```
+
+### Data structure
+
+```javascript
+var data = {
+	labels: ["January", "February", "March", "April", "May", "June", "July"],
+	datasets: [
+		{
+			label: "My First dataset",
+
+			// The properties below allow an array to be specified to change the value of the item at the given index
+			// String  or array - the bar color
+			backgroundColor: "rgba(220,220,220,0.2)",
+
+			// String or array - bar stroke color
+			borderColor: "rgba(220,220,220,1)",
+
+			// Number or array - bar border width
+			borderWidth: 1,
+
+			// String or array - fill color when hovered
+			hoverBackgroundColor: "rgba(220,220,220,0.2)",
+
+			// String or array - border color when hovered
+			hoverBorderColor: "rgba(220,220,220,1)",
+
+			// The actual data
+			data: [65, 59, 80, 81, 56, 55, 40],
+
+			// String - If specified, binds the dataset to a certain y-axis. If not specified, the first y-axis is used.
+			yAxisID: "y-axis-1",
+		},
+		{
+			label: "My Second dataset",
+			backgroundColor: "rgba(220,220,220,0.2)",
+			borderColor: "rgba(220,220,220,1)",
+			borderWidth: 1,
+			hoverBackgroundColor: "rgba(220,220,220,0.2)",
+			hoverBorderColor: "rgba(220,220,220,1)",
+			data: [28, 48, 40, 19, 86, 27, 90]
+		}
+	]
+};
+```
+The bar chart has the a very similar data structure to the line chart, and has an array of datasets, each with colours and an array of data. Again, colours are in CSS format.
+We have an array of labels too for display. In the example, we are showing the same data as the previous line chart example.
+
+The label key on each dataset is optional, and can be used when generating a scale for the chart.
+
+### Chart Options
+
+These are the customisation options specific to Bar charts. These options are merged with the [global chart configuration options](#getting-started-global-chart-configuration), and form the options of the chart.
+
+The default options for bar chart are defined in `Chart.defaults.Bar`.
+
+Name | Type | Default | Description
+--- |:---:| --- | ---
+stacked | Boolean | false |
+*hover*.mode | String | "label" | Label's hover mode. "label" is used since the x axis displays data by the index in the dataset.
+scales | Array | - | -
+*scales*.xAxes | Array |  | The bar chart officially supports only 1 x-axis but uses an array to keep the API consistent. Use a scatter chart if you need multiple x axes.
+*Options for xAxes* | | |
+type | String | "Category" | As defined in [Scales](#scales-category-scale).
+display | Boolean | true | If true, show the scale.
+position | String | "bottom" | Position of the scale. Options are "top" and "bottom" for dataset scales.
+id | String | "x-axis-1" | Id of the axis so that data can bind to it
+categoryPercentage | Number | 0.8 | Percent (0-1) of the available width (the space between the gridlines for small datasets) for each data-point to use for the bars. [Read More](#bar-chart-barpercentage-vs-categorypercentage)
+barPercentage | Number | 0.9 | Percent (0-1) of the available width each bar should be within the category percentage. 1.0 will take the whole category width and put the bars right next to each other. [Read More](#bar-chart-barpercentage-vs-categorypercentage)
+gridLines | Array |  [See Scales](#scales) |
+*gridLines*.offsetGridLines | Boolean | true | If true, the bars for a particular data point fall between the grid lines. If false, the grid line will go right down the middle of the bars.
+scaleLabel | Array | [See Scales](#scales) |
+ticks | Array |  [See Scales](#scales) |
+| | |
+*scales*.yAxes | Array | `[{ type: "linear" }]` |
+*Options for xAxes* | | |
+type | String | "linear" | As defined in [Scales](#scales-linear-scale).
+display | Boolean | true | If true, show the scale.
+position | String | "left" | Position of the scale. Options are "left" and "right" for dataset scales.
+id | String | "y-axis-1" | Id of the axis so that data can bind to it.
+gridLines | Array |  [See Scales](#scales) |
+scaleLabel | Array | [See Scales](#scales) |
+ticks | Array |  [See Scales](#scales) |
+
+You can override these for your `Chart` instance by passing a second argument into the `Bar` method as an object with the keys you want to override.
+
+For example, we could have a bar chart without a stroke on each bar by doing the following:
+
+```javascript
+new Chart(ctx,{
+	type:"bar",
+	data: data,
+	options: {
+		scales: {
+				xAxes: [{
+						stacked: true,
+				}],
+				yAxes: [{
+						stacked: true
+				}]
+			}
+		}
+	}
+});
+// This will create a chart with all of the default options, merged from the global config,
+//  and the Bar chart defaults but this particular instance will have `stacked` set to true
+// for both x and y axes.
+```
+
+We can also change these defaults values for each Bar type that is created, this object is available at `Chart.defaults.Bar`.
+
+#### barPercentage vs categoryPercentage
+
+The following shows the relationship between the bar percentage option and the category percentage option.
+
+```text
+// categoryPercentage: 1.0
+// barPercentage: 1.0
+Bar:          | 1.0 | 1.0 |
+Category: 	|    1.0    |   
+Sample:	   |===========|
+
+// categoryPercentage: 1.0
+// barPercentage: 0.5
+Bar:             |.5|  |.5|
+Category: 	|      1.0     |   
+Sample:	   |==============|
+
+// categoryPercentage: 0.5
+// barPercentage: 1.0
+Bar:              |1.||1.|
+Category:     	|  .5  |   
+Sample:	   |==============|
+```

docs/03-Radar-Chart.md

@@ -1,177 +0,0 @@
----
-title: Radar Chart
-anchor: radar-chart
----
-
-###Introduction
-A radar chart is a way of showing multiple data points and the variation between them.
-
-They are often useful for comparing the points of two or more different data sets.
-
-<div class="canvas-holder">
-	<canvas width="250" height="125"></canvas>
-</div>
-
-###Example usage
-
-```javascript
-var myRadarChart = new Chart(ctx).Radar(data, options);
-```
-
-###Data structure
-```javascript
-var data = {
-	labels: ["Eating", "Drinking", "Sleeping", "Designing", "Coding", "Cycling", "Running"],
-	datasets: [
-		{
-			label: "My First dataset",
-			fillColor: "rgba(220,220,220,0.2)",
-			strokeColor: "rgba(220,220,220,1)",
-			pointColor: "rgba(220,220,220,1)",
-			pointStrokeColor: "#fff",
-			pointHighlightFill: "#fff",
-			pointHighlightStroke: "rgba(220,220,220,1)",
-			data: [65, 59, 90, 81, 56, 55, 40]
-		},
-		{
-			label: "My Second dataset",
-			fillColor: "rgba(151,187,205,0.2)",
-			strokeColor: "rgba(151,187,205,1)",
-			pointColor: "rgba(151,187,205,1)",
-			pointStrokeColor: "#fff",
-			pointHighlightFill: "#fff",
-			pointHighlightStroke: "rgba(151,187,205,1)",
-			data: [28, 48, 40, 19, 96, 27, 100]
-		}
-	]
-};
-```
-For a radar chart, to provide context of what each point means, we include an array of strings that show around each point in the chart.
-For the radar chart data, we have an array of datasets. Each of these is an object, with a fill colour, a stroke colour, a colour for the fill of each point, and a colour for the stroke of each point. We also have an array of data values.
-
-The label key on each dataset is optional, and can be used when generating a scale for the chart.
-
-### Chart options
-
-These are the customisation options specific to Radar charts. These options are merged with the [global chart configuration options](#getting-started-global-chart-configuration), and form the options of the chart.
-
-
-```javascript
-{
-	//Boolean - Whether to show lines for each scale point
-	scaleShowLine : true,
-
-	//Boolean - Whether we show the angle lines out of the radar
-	angleShowLineOut : true,
-
-	//Boolean - Whether to show labels on the scale
-	scaleShowLabels : false,
-
-	// Boolean - Whether the scale should begin at zero
-	scaleBeginAtZero : true,
-
-	//String - Colour of the angle line
-	angleLineColor : "rgba(0,0,0,.1)",
-
-	//Number - Pixel width of the angle line
-	angleLineWidth : 1,
-
-	//String - Point label font declaration
-	pointLabelFontFamily : "'Arial'",
-
-	//String - Point label font weight
-	pointLabelFontStyle : "normal",
-
-	//Number - Point label font size in pixels
-	pointLabelFontSize : 10,
-
-	//String - Point label font colour
-	pointLabelFontColor : "#666",
-
-	//Boolean - Whether to show a dot for each point
-	pointDot : true,
-
-	//Number - Radius of each point dot in pixels
-	pointDotRadius : 3,
-
-	//Number - Pixel width of point dot stroke
-	pointDotStrokeWidth : 1,
-
-	//Number - amount extra to add to the radius to cater for hit detection outside the drawn point
-	pointHitDetectionRadius : 20,
-
-	//Boolean - Whether to show a stroke for datasets
-	datasetStroke : true,
-
-	//Number - Pixel width of dataset stroke
-	datasetStrokeWidth : 2,
-
-	//Boolean - Whether to fill the dataset with a colour
-	datasetFill : true,
-	{% raw %}
-	//String - A legend template
-	legendTemplate : "<ul class=\"<%=name.toLowerCase()%>-legend\"><% for (var i=0; i<datasets.length; i++){%><li><span style=\"background-color:<%=datasets[i].strokeColor%>\"></span><%if(datasets[i].label){%><%=datasets[i].label%><%}%></li><%}%></ul>"
-	{% endraw %}
-}
-```
-
-
-You can override these for your `Chart` instance by passing a second argument into the `Radar` method as an object with the keys you want to override.
-
-For example, we could have a radar chart without a point for each on piece of data by doing the following:
-
-```javascript
-new Chart(ctx).Radar(data, {
-	pointDot: false
-});
-// This will create a chart with all of the default options, merged from the global config,
-//  and the Bar chart defaults but this particular instance will have `pointDot` set to false.
-```
-
-We can also change these defaults values for each Radar type that is created, this object is available at `Chart.defaults.Radar`.
-
-
-### Prototype methods
-
-#### .getPointsAtEvent( event )
-
-Calling `getPointsAtEvent(event)` on your Chart instance passing an argument of an event, or jQuery event, will return the point elements that are at that the same position of that event.
-
-```javascript
-canvas.onclick = function(evt){
-	var activePoints = myRadarChart.getPointsAtEvent(evt);
-	// => activePoints is an array of points on the canvas that are at the same position as the click event.
-};
-```
-
-This functionality may be useful for implementing DOM based tooltips, or triggering custom behaviour in your application.
-
-#### .update( )
-
-Calling `update()` on your Chart instance will re-render the chart with any updated values, allowing you to edit the value of multiple existing points, then render those in one animated render loop.
-
-```javascript
-myRadarChart.datasets[0].points[2].value = 50;
-// Would update the first dataset's value of 'Sleeping' to be 50
-myRadarChart.update();
-// Calling update now animates the position of Sleeping from 90 to 50.
-```
-
-#### .addData( valuesArray, label )
-
-Calling `addData(valuesArray, label)` on your Chart instance passing an array of values for each dataset, along with a label for those points.
-
-```javascript
-// The values array passed into addData should be one for each dataset in the chart
-myRadarChart.addData([40, 60], "Dancing");
-// The new data will now animate at the end of the chart.
-```
-
-#### .removeData( )
-
-Calling `removeData()` on your Chart instance will remove the first value for all datasets on the chart.
-
-```javascript
-myRadarChart.removeData();
-// Other points will now animate to their correct positions.
-```

docs/04-Polar-Area-Chart.md

@@ -1,172 +0,0 @@
----
-title: Polar Area Chart
-anchor: polar-area-chart
----
-### Introduction
-Polar area charts are similar to pie charts, but each segment has the same angle - the radius of the segment differs depending on the value.
-
-This type of chart is often useful when we want to show a comparison data similar to a pie chart, but also show a scale of values for context.
-
-<div class="canvas-holder">
-	<canvas width="250" height="125"></canvas>
-</div>
-
-### Example usage
-
-```javascript
-new Chart(ctx).PolarArea(data, options);
-```
-
-### Data structure
-
-```javascript
-var data = [
-	{
-		value: 300,
-		color:"#F7464A",
-		highlight: "#FF5A5E",
-		label: "Red"
-	},
-	{
-		value: 50,
-		color: "#46BFBD",
-		highlight: "#5AD3D1",
-		label: "Green"
-	},
-	{
-		value: 100,
-		color: "#FDB45C",
-		highlight: "#FFC870",
-		label: "Yellow"
-	},
-	{
-		value: 40,
-		color: "#949FB1",
-		highlight: "#A8B3C5",
-		label: "Grey"
-	},
-	{
-		value: 120,
-		color: "#4D5360",
-		highlight: "#616774",
-		label: "Dark Grey"
-	}
-
-];
-```
-As you can see, for the chart data you pass in an array of objects, with a value and a colour. The value attribute should be a number, while the color attribute should be a string. Similar to CSS, for this string you can use HEX notation, RGB, RGBA or HSL.
-
-### Chart options
-
-These are the customisation options specific to Polar Area charts. These options are merged with the [global chart configuration options](#getting-started-global-chart-configuration), and form the options of the chart.
-
-```javascript
-{
-	//Boolean - Show a backdrop to the scale label
-	scaleShowLabelBackdrop : true,
-
-	//String - The colour of the label backdrop
-	scaleBackdropColor : "rgba(255,255,255,0.75)",
-
-	// Boolean - Whether the scale should begin at zero
-	scaleBeginAtZero : true,
-
-	//Number - The backdrop padding above & below the label in pixels
-	scaleBackdropPaddingY : 2,
-
-	//Number - The backdrop padding to the side of the label in pixels
-	scaleBackdropPaddingX : 2,
-
-	//Boolean - Show line for each value in the scale
-	scaleShowLine : true,
-
-	//Boolean - Stroke a line around each segment in the chart
-	segmentShowStroke : true,
-
-	//String - The colour of the stroke on each segment.
-	segmentStrokeColor : "#fff",
-
-	//Number - The width of the stroke value in pixels
-	segmentStrokeWidth : 2,
-
-	//Number - Amount of animation steps
-	animationSteps : 100,
-
-	//String - Animation easing effect.
-	animationEasing : "easeOutBounce",
-
-	//Boolean - Whether to animate the rotation of the chart
-	animateRotate : true,
-
-	//Boolean - Whether to animate scaling the chart from the centre
-	animateScale : false,
-	{% raw %}
-	//String - A legend template
-	legendTemplate : "<ul class=\"<%=name.toLowerCase()%>-legend\"><% for (var i=0; i<segments.length; i++){%><li><span style=\"background-color:<%=segments[i].fillColor%>\"></span><%if(segments[i].label){%><%=segments[i].label%><%}%></li><%}%></ul>"
-	{% endraw %}
-}
-```
-
-You can override these for your `Chart` instance by passing a second argument into the `PolarArea` method as an object with the keys you want to override.
-
-For example, we could have a polar area chart with a black stroke on each segment like so:
-
-```javascript
-new Chart(ctx).PolarArea(data, {
-	segmentStrokeColor: "#000000"
-});
-// This will create a chart with all of the default options, merged from the global config,
-// and the PolarArea chart defaults but this particular instance will have `segmentStrokeColor` set to `"#000000"`.
-```
-
-We can also change these defaults values for each PolarArea type that is created, this object is available at `Chart.defaults.PolarArea`.
-
-### Prototype methods
-
-#### .getSegmentsAtEvent( event )
-
-Calling `getSegmentsAtEvent(event)` on your Chart instance passing an argument of an event, or jQuery event, will return the segment elements that are at that the same position of that event.
-
-```javascript
-canvas.onclick = function(evt){
-	var activePoints = myPolarAreaChart.getSegmentsAtEvent(evt);
-	// => activePoints is an array of segments on the canvas that are at the same position as the click event.
-};
-```
-
-This functionality may be useful for implementing DOM based tooltips, or triggering custom behaviour in your application.
-
-#### .update( )
-
-Calling `update()` on your Chart instance will re-render the chart with any updated values, allowing you to edit the value of multiple existing points, then render those in one animated render loop.
-
-```javascript
-myPolarAreaChart.segments[1].value = 10;
-// Would update the first dataset's value of 'Green' to be 10
-myPolarAreaChart.update();
-// Calling update now animates the position of Green from 50 to 10.
-```
-
-#### .addData( segmentData, index )
-
-Calling `addData(segmentData, index)` on your Chart instance passing an object in the same format as in the constructor. There is an option second argument of 'index', this determines at what index the new segment should be inserted into the chart.
-
-```javascript
-// An object in the same format as the original data source
-myPolarAreaChart.addData({
-	value: 130,
-	color: "#B48EAD",
-	highlight: "#C69CBE",
-	label: "Purple"
-});
-// The new segment will now animate in.
-```
-
-#### .removeData( index )
-
-Calling `removeData(index)` on your Chart instance will remove segment at that particular index. If none is provided, it will default to the last segment.
-
-```javascript
-myPolarAreaChart.removeData();
-// Other segments will update to fill the empty space left.
-```

docs/04-Radar-Chart.md

@@ -0,0 +1,93 @@
+---
+title: Radar Chart
+anchor: radar-chart
+---
+
+### Introduction
+A radar chart is a way of showing multiple data points and the variation between them.
+
+They are often useful for comparing the points of two or more different data sets.
+
+<div class="canvas-holder">
+	<canvas width="250" height="125"></canvas>
+</div>
+
+### Example usage
+
+```javascript
+var myRadarChart = new Chart(ctx, {
+	type:'radar',
+	data: data,
+	options: options
+});
+```
+
+### Data structure
+```javascript
+var data = {
+	labels: ["Eating", "Drinking", "Sleeping", "Designing", "Coding", "Cycling", "Running"],
+	datasets: [
+		{
+			label: "My First dataset",
+			backgroundColor: "rgba(220,220,220,0.2)",
+			borderColor: "rgba(220,220,220,1)",
+			pointBackgroundColor: "rgba(220,220,220,1)",
+			pointBorderColor: "#fff",
+			pointHoverBackgroundColor: "#fff",
+			pointHoverBorderColor: "rgba(220,220,220,1)",
+			data: [65, 59, 90, 81, 56, 55, 40]
+		},
+		{
+			label: "My Second dataset",
+			backgroundColor: "rgba(151,187,205,0.2)",
+			borderColor: "rgba(151,187,205,1)",
+			pointBackgroundColor: "rgba(151,187,205,1)",
+			pointBorderColor: "#fff",
+			pointHoverBackgroundColor: "#fff",
+			pointHoverBorderColor: "rgba(151,187,205,1)",
+			data: [28, 48, 40, 19, 96, 27, 100]
+		}
+	]
+};
+```
+For a radar chart, to provide context of what each point means, we include an array of strings that show around each point in the chart.
+For the radar chart data, we have an array of datasets. Each of these is an object, with a fill colour, a stroke colour, a colour for the fill of each point, and a colour for the stroke of each point. We also have an array of data values.
+The label key on each dataset is optional, and can be used when generating a scale for the chart.
+
+
+### Chart Options
+
+These are the customisation options specific to Radar charts. These options are merged with the [global chart configuration options](#getting-started-global-chart-configuration), and form the options of the chart.
+
+The default options for radar chart are defined in `Chart.defaults.radar`.
+
+Name | Type | Default | Description
+--- | --- | --- | ---
+scale | Array | [See Scales](#scales) and [Defaults for Radial Linear Scale](#scales-radial-linear-scale) | Options for the one scale used on the chart. Use this to style the ticks, labels, and grid lines.
+*scale*.type | String |"radialLinear" | As defined in ["Radial Linear"](#scales-radial-linear-scale).
+*elements*.line | Array | | Options for all line elements used on the chart, as defined in the global elements, duplicated here to show Radar chart specific defaults.
+*elements.line*.tension | Number | 0 | Tension exhibited by lines when calculating splineCurve. Setting to 0 creates straight lines.
+
+You can override these for your `Chart` instance by passing a second argument into the `Radar` method as an object with the keys you want to override.
+
+For example, we could have a radar chart without a point for each on piece of data by doing the following:
+
+```javascript
+new Chart(ctx, {
+	type:"radar",
+	data: data,
+	options: {
+			scale: {
+				reverse: true,
+				ticks: {
+					beginAtZero: true
+				}
+			}
+	}
+});
+// This will create a chart with all of the default options, merged from the global config,
+//  and the Radar chart defaults but this particular instance's scale will be reversed as
+// well as the ticks beginning at zero.
+```
+
+We can also change these defaults values for each Radar type that is created, this object is available at `Chart.defaults.radar`.

docs/05-Pie-Doughnut-Chart.md

@@ -1,158 +0,0 @@
----
-title: Pie & Doughnut Charts
-anchor: doughnut-pie-chart
----
-###Introduction
-Pie and doughnut charts are probably the most commonly used chart there are. They are divided into segments, the arc of each segment shows the proportional value of each piece of data.
-
-They are excellent at showing the relational proportions between data.
-
-Pie and doughnut charts are effectively the same class in Chart.js, but have one different default value - their `percentageInnerCutout`. This equates what percentage of the inner should be cut out. This defaults to `0` for pie charts, and `50` for doughnuts.
-
-They are also registered under two aliases in the `Chart` core. Other than their different default value, and different alias, they are exactly the same.
-
-<div class="canvas-holder half">
-	<canvas width="250" height="125"></canvas>
-</div>
-
-<div class="canvas-holder half">
-	<canvas width="250" height="125"></canvas>
-</div>
-
-
-### Example usage
-
-```javascript
-// For a pie chart
-var myPieChart = new Chart(ctx[0]).Pie(data,options);
-
-// And for a doughnut chart
-var myDoughnutChart = new Chart(ctx[1]).Doughnut(data,options);
-```
-
-### Data structure
-
-```javascript
-var data = [
-	{
-		value: 300,
-		color:"#F7464A",
-		highlight: "#FF5A5E",
-		label: "Red"
-	},
-	{
-		value: 50,
-		color: "#46BFBD",
-		highlight: "#5AD3D1",
-		label: "Green"
-	},
-	{
-		value: 100,
-		color: "#FDB45C",
-		highlight: "#FFC870",
-		label: "Yellow"
-	}
-]
-```
-
-For a pie chart, you must pass in an array of objects with a value and an optional color property. The value attribute should be a number, Chart.js will total all of the numbers and calculate the relative proportion of each. The color attribute should be a string. Similar to CSS, for this string you can use HEX notation, RGB, RGBA or HSL.
-
-### Chart options
-
-These are the customisation options specific to Pie & Doughnut charts. These options are merged with the [global chart configuration options](#getting-started-global-chart-configuration), and form the options of the chart.
-
-```javascript
-{
-	//Boolean - Whether we should show a stroke on each segment
-	segmentShowStroke : true,
-
-	//String - The colour of each segment stroke
-	segmentStrokeColor : "#fff",
-
-	//Number - The width of each segment stroke
-	segmentStrokeWidth : 2,
-
-	//Number - The percentage of the chart that we cut out of the middle
-	percentageInnerCutout : 50, // This is 0 for Pie charts
-
-	//Number - Amount of animation steps
-	animationSteps : 100,
-
-	//String - Animation easing effect
-	animationEasing : "easeOutBounce",
-
-	//Boolean - Whether we animate the rotation of the Doughnut
-	animateRotate : true,
-
-	//Boolean - Whether we animate scaling the Doughnut from the centre
-	animateScale : false,
-	{% raw %}
-	//String - A legend template
-	legendTemplate : "<ul class=\"<%=name.toLowerCase()%>-legend\"><% for (var i=0; i<segments.length; i++){%><li><span style=\"background-color:<%=segments[i].fillColor%>\"></span><%if(segments[i].label){%><%=segments[i].label%><%}%></li><%}%></ul>"
-	{% endraw %}
-}
-```
-You can override these for your `Chart` instance by passing a second argument into the `Doughnut` method as an object with the keys you want to override.
-
-For example, we could have a doughnut chart that animates by scaling out from the centre like so:
-
-```javascript
-new Chart(ctx).Doughnut(data, {
-	animateScale: true
-});
-// This will create a chart with all of the default options, merged from the global config,
-// and the Doughnut chart defaults but this particular instance will have `animateScale` set to `true`.
-```
-
-We can also change these default values for each Doughnut type that is created, this object is available at `Chart.defaults.Doughnut`. Pie charts also have a clone of these defaults available to change at `Chart.defaults.Pie`, with the only difference being `percentageInnerCutout` being set to 0.
-
-### Prototype methods
-
-#### .getSegmentsAtEvent( event )
-
-Calling `getSegmentsAtEvent(event)` on your Chart instance passing an argument of an event, or jQuery event, will return the segment elements that are at the same position of that event.
-
-```javascript
-canvas.onclick = function(evt){
-	var activePoints = myDoughnutChart.getSegmentsAtEvent(evt);
-	// => activePoints is an array of segments on the canvas that are at the same position as the click event.
-};
-```
-
-This functionality may be useful for implementing DOM based tooltips, or triggering custom behaviour in your application.
-
-#### .update( )
-
-Calling `update()` on your Chart instance will re-render the chart with any updated values, allowing you to edit the value of multiple existing points, then render those in one animated render loop.
-
-```javascript
-myDoughnutChart.segments[1].value = 10;
-// Would update the first dataset's value of 'Green' to be 10
-myDoughnutChart.update();
-// Calling update now animates the circumference of the segment 'Green' from 50 to 10.
-// and transitions other segment widths
-```
-
-#### .addData( segmentData, index )
-
-Calling `addData(segmentData, index)` on your Chart instance passing an object in the same format as in the constructor. There is an optional second argument of 'index', this determines at what index the new segment should be inserted into the chart.
-
-```javascript
-// An object in the same format as the original data source
-myDoughnutChart.addData({
-	value: 130,
-	color: "#B48EAD",
-	highlight: "#C69CBE",
-	label: "Purple"
-});
-// The new segment will now animate in.
-```
-
-#### .removeData( index )
-
-Calling `removeData(index)` on your Chart instance will remove segment at that particular index. If none is provided, it will default to the last segment.
-
-```javascript
-myDoughnutChart.removeData();
-// Other segments will update to fill the empty space left.
-```

docs/05-Polar-Area-Chart.md

@@ -0,0 +1,91 @@
+---
+title: Polar Area Chart
+anchor: polar-area-chart
+---
+### Introduction
+Polar area charts are similar to pie charts, but each segment has the same angle - the radius of the segment differs depending on the value.
+
+This type of chart is often useful when we want to show a comparison data similar to a pie chart, but also show a scale of values for context.
+
+<div class="canvas-holder">
+	<canvas width="250" height="125"></canvas>
+</div>
+
+### Example usage
+
+```javascript
+new Chart(ctx, {
+	data:data, 
+	type: 'polarArea',
+	options: options
+});
+```
+
+### Data structure
+
+```javascript
+var data = {
+	datasets: [{
+		data: [
+			10,
+			32,
+			53,
+			14,
+			22,
+		],
+		backgroundColor: [
+			"#F7464A",
+			"#46BFBD",
+			"#FDB45C",
+			"#949FB1",
+			"#4D5360",
+		],
+		label: 'My dataset' // for legend
+	}],
+	labels: [
+		"Red",
+		"Green",
+		"Yellow",
+		"Grey",
+		"Dark Grey"
+	]
+};
+```
+As you can see, for the chart data you pass in an array of objects, with a value and a colour. The value attribute should be a number, while the color attribute should be a string. Similar to CSS, for this string you can use HEX notation, RGB, RGBA or HSL.
+
+### Chart options
+
+These are the customisation options specific to Polar Area charts. These options are merged with the [global chart configuration options](#getting-started-global-chart-configuration), and form the options of the chart.
+
+Name | Type | Default | Description
+--- | --- | --- | ---
+scale | Array | [See Scales](#scales) and [Defaults for Radial Linear Scale](#getting-started-radial-linear-scale) | Options for the one scale used on the chart. Use this to style the ticks, labels, and grid.
+*scale*.type | String |"radialLinear" | As defined in ["Radial Linear"](#scales-radial-linear-scale).
+*scale*.lineArc | Boolean | true | When true, lines are circular.
+animateRotate | Boolean |true | If true, will animate the rotation of the chart.
+animateScale | Boolean | true | If true, will animate scaling the chart.
+*legend*.*labels*.generateLabels | Function | `function(data) {} ` | Returns labels for each the legend
+*legend*.onClick | Function | function(event, legendItem) {} ` | Handles clicking an individual legend item
+legendCallback | Function | `function(chart) ` | Generates the HTML legend via calls to `generateLegend`
+
+You can override these for your `Chart` instance by passing a second argument into the `PolarArea` method as an object with the keys you want to override.
+
+For example, we could have a polar area chart with a black stroke on each segment like so:
+
+```javascript
+new Chart(ctx, {
+	data: data,
+	type: 'polarArea',
+	options: {
+		elements: {
+			arc: {
+				borderColor: "#000000"
+			}
+		}
+	}
+});
+// This will create a chart with all of the default options, merged from the global config,
+// and the PolarArea chart defaults but this particular instance will have `elements.arc.borderColor` set to `"#000000"`.
+```
+
+We can also change these defaults values for each PolarArea type that is created, this object is available at `Chart.defaults.polarArea`.

docs/06-Advanced.md

@@ -1,187 +0,0 @@
----
-title: Advanced usage
-anchor: advanced-usage
----
-
-
-### Prototype methods
-
-For each chart, there are a set of global prototype methods on the shared `ChartType` which you may find useful. These are available on all charts created with Chart.js, but for the examples, let's use a line chart we've made.
-
-```javascript
-// For example:
-var myLineChart = new Chart(ctx).Line(data);
-```
-
-#### .clear()
-
-Will clear the chart canvas. Used extensively internally between animation frames, but you might find it useful.
-
-```javascript
-// Will clear the canvas that myLineChart is drawn on
-myLineChart.clear();
-// => returns 'this' for chainability
-```
-
-#### .stop()
-
-Use this to stop any current animation loop. This will pause the chart during any current animation frame. Call `.render()` to re-animate.
-
-```javascript
-// Stops the charts animation loop at its current frame
-myLineChart.stop();
-// => returns 'this' for chainability
-```
-
-#### .resize()
-
-Use this to manually resize the canvas element. This is run each time the browser is resized, but you can call this method manually if you change the size of the canvas nodes container element.
-
-```javascript
-// Resizes & redraws to fill its container element
-myLineChart.resize();
-// => returns 'this' for chainability
-```
-
-#### .destroy()
-
-Use this to destroy any chart instances that are created. This will clean up any references stored to the chart object within Chart.js, along with any associated event listeners attached by Chart.js.
-
-```javascript
-// Destroys a specific chart instance
-myLineChart.destroy();
-```
-
-#### .toBase64Image()
-
-This returns a base 64 encoded string of the chart in it's current state.
-
-```javascript
-myLineChart.toBase64Image();
-// => returns png data url of the image on the canvas
-```
-
-#### .generateLegend()
-
-Returns an HTML string of a legend for that chart. The template for this legend is at `legendTemplate` in the chart options.
-
-```javascript
-myLineChart.generateLegend();
-// => returns HTML string of a legend for this chart
-```
-
-### External Tooltips
-
-You can enable custom tooltips in the global or chart configuration like so:
-
-```javascript
-var myPieChart = new Chart(ctx).Pie(data, {
-	customTooltips: function(tooltip) {
-
-        // tooltip will be false if tooltip is not visible or should be hidden
-        if (!tooltip) {
-            return;
-        }
-
-        // Otherwise, tooltip will be an object with all tooltip properties like:
-
-        // tooltip.caretHeight
-        // tooltip.caretPadding
-        // tooltip.chart
-        // tooltip.cornerRadius
-        // tooltip.fillColor
-        // tooltip.font...
-        // tooltip.text
-        // tooltip.x
-        // tooltip.y
-        // etc...
-
-    };
-});
-```
-
-See files `sample/pie-customTooltips.html` and `sample/line-customTooltips.html` for examples on how to get started.
-
-
-### Writing new chart types
-
-Chart.js 1.0 has been rewritten to provide a platform for developers to create their own custom chart types, and be able to share and utilise them through the Chart.js API.
-
-The format is relatively simple, there are a set of utility helper methods under `Chart.helpers`, including things such as looping over collections, requesting animation frames, and easing equations.
-
-On top of this, there are also some simple base classes of Chart elements, these all extend from `Chart.Element`, and include things such as points, bars and scales.
-
-```javascript
-Chart.Type.extend({
-	// Passing in a name registers this chart in the Chart namespace
-	name: "Scatter",
-	// Providing a defaults will also register the deafults in the chart namespace
-	defaults : {
-		options: "Here",
-		available: "at this.options"
-	},
-	// Initialize is fired when the chart is initialized - Data is passed in as a parameter
-	// Config is automatically merged by the core of Chart.js, and is available at this.options
-	initialize:  function(data){
-		this.chart.ctx // The drawing context for this chart
-		this.chart.canvas // the canvas node for this chart
-	},
-	// Used to draw something on the canvas
-	draw: function() {
-	}
-});
-
-// Now we can create a new instance of our chart, using the Chart.js API
-new Chart(ctx).Scatter(data);
-// initialize is now run
-```
-
-### Extending existing chart types
-
-We can also extend existing chart types, and expose them to the API in the same way. Let's say for example, we might want to run some more code when we initialize every Line chart.
-
-```javascript
-// Notice now we're extending the particular Line chart type, rather than the base class.
-Chart.types.Line.extend({
-	// Passing in a name registers this chart in the Chart namespace in the same way
-	name: "LineAlt",
-	initialize: function(data){
-		console.log('My Line chart extension');
-		Chart.types.Line.prototype.initialize.apply(this, arguments);
-	}
-});
-
-// Creates a line chart in the same way
-new Chart(ctx).LineAlt(data);
-// but this logs 'My Line chart extension' in the console.
-```
-
-### Community extensions
-
-- <a href="https://github.com/Regaddi/Chart.StackedBar.js" target="_blank">Stacked Bar Chart</a> by <a href="https://twitter.com/Regaddi" target="_blank">@Regaddi</a>
-- <a href="https://github.com/tannerlinsley/Chart.StackedArea.js" target="_blank">Stacked Bar Chart</a> by <a href="https://twitter.com/tannerlinsley" target="_blank">@tannerlinsley</a>
-- <a href="https://github.com/CAYdenberg/Chart.js" target="_blank">Error bars (bar and line charts)</a> by <a href="https://twitter.com/CAYdenberg" target="_blank">@CAYdenberg</a>
-- <a href="http://dima117.github.io/Chart.Scatter/" target="_blank">Scatter chart (number & date scales are supported)</a> by <a href="https://github.com/dima117" target="_blank">@dima117</a>
-
-### Creating custom builds
-
-Chart.js uses <a href="http://gulpjs.com/" target="_blank">gulp</a> to build the library into a single JavaScript file. We can use this same build script with custom parameters in order to build a custom version.
-
-Firstly, we need to ensure development dependencies are installed. With node and npm installed, after cloning the Chart.js repo to a local directory, and navigating to that directory in the command line, we can run the following:
-
-```bash
-npm install
-npm install -g gulp
-```
-
-This will install the local development dependencies for Chart.js, along with a CLI for the JavaScript task runner <a href="http://gulpjs.com/" target="_blank">gulp</a>.
-
-Now, we can run the `gulp build` task, and pass in a comma seperated list of types as an argument to build a custom version of Chart.js with only specified chart types.
-
-Here we will create a version of Chart.js with only Line, Radar and Bar charts included:
-
-```bash
-gulp build --types=Line,Radar,Bar
-```
-
-This will output to the `/custom` directory, and write two files, Chart.js, and Chart.min.js with only those chart types included.

docs/06-Pie-Doughnut-Chart.md

@@ -0,0 +1,99 @@
+---
+title: Pie & Doughnut Charts
+anchor: doughnut-pie-chart
+---
+###Introduction
+Pie and doughnut charts are probably the most commonly used chart there are. They are divided into segments, the arc of each segment shows the proportional value of each piece of data.
+
+They are excellent at showing the relational proportions between data.
+
+Pie and doughnut charts are effectively the same class in Chart.js, but have one different default value - their `percentageInnerCutout`. This equates what percentage of the inner should be cut out. This defaults to `0` for pie charts, and `50` for doughnuts.
+
+They are also registered under two aliases in the `Chart` core. Other than their different default value, and different alias, they are exactly the same.
+
+<div class="canvas-holder half">
+	<canvas width="250" height="125"></canvas>
+</div>
+
+<div class="canvas-holder half">
+	<canvas width="250" height="125"></canvas>
+</div>
+
+
+### Example usage
+
+```javascript
+// For a pie chart
+var myPieChart = new Chart(ctx[0],{
+	type:'pie',
+	data: data,
+	options: options
+});
+
+// And for a doughnut chart
+var myDoughnutChart = new Chart(ctx[1], {
+	type:'doughnut',
+	data: data,
+	options: options
+});
+```
+
+### Data structure
+
+```javascript
+var data = {
+    labels: [
+        "Red",
+        "Green",
+        "Yellow"
+    ],
+    datasets: [
+        {
+            data: [300, 50, 100],
+            backgroundColor: [
+                "#F7464A",
+                "#46BFBD",
+                "#FDB45C"
+            ],
+            hoverBackgroundColor: [
+                "#FF5A5E",
+                "#5AD3D1",
+                "#FFC870"
+            ]
+        }]
+};
+```
+
+For a pie chart, you must pass in an array of objects with a value and an optional color property. The value attribute should be a number, Chart.js will total all of the numbers and calculate the relative proportion of each. The color attribute should be a string. Similar to CSS, for this string you can use HEX notation, RGB, RGBA or HSL.
+
+### Chart options
+
+These are the customisation options specific to Pie & Doughnut charts. These options are merged with the [global chart configuration options](#getting-started-global-chart-configuration), and form the options of the chart.
+
+Name | Type | Default | Description
+--- | --- | --- | ---
+cutoutPercentage | Number | 50 - for doughnut, 0 - for pie | The percentage of the chart that is cut out of the middle.
+scale | Array | [See Scales](#scales) and [Defaults for Radial Linear Scale](#getting-started-radial-linear-scale) | Options for the one scale used on the chart. Use this to style the ticks, labels, and grid.
+*scale*.type | String |"radialLinear" | As defined in ["Radial Linear"](#scales-radial-linear-scale).
+*scale*.lineArc | Boolean | true | When true, lines are arced compared to straight when false.
+*animation*.animateRotate | Boolean |true | If true, will animate the rotation of the chart.
+*animation*.animateScale | Boolean | false | If true, will animate scaling the Doughnut from the centre.
+*legend*.*labels*.generateLabels | Function | `function(data) {} ` | Returns labels for each the legend
+*legend*.onClick | Function | function(event, legendItem) {} ` | Handles clicking an individual legend item
+
+You can override these for your `Chart` instance by passing a second argument into the `Doughnut` method as an object with the keys you want to override.
+
+For example, we could have a doughnut chart that animates by scaling out from the centre like so:
+
+```javascript
+new Chart(ctx,{
+	type:"doughnut",
+	animation:{
+		animateScale:true
+	}
+});
+// This will create a chart with all of the default options, merged from the global config,
+// and the Doughnut chart defaults but this particular instance will have `animateScale` set to `true`.
+```
+
+We can also change these default values for each Doughnut type that is created, this object is available at `Chart.defaults.Doughnut`. Pie charts also have a clone of these defaults available to change at `Chart.defaults.Pie`, with the only difference being `percentageInnerCutout` being set to 0.

docs/07-Advanced.md

@@ -0,0 +1,386 @@
+---
+title: Advanced usage
+anchor: advanced-usage
+---
+
+
+### Prototype methods
+
+For each chart, there are a set of global prototype methods on the shared `ChartType` which you may find useful. These are available on all charts created with Chart.js, but for the examples, let's use a line chart we've made.
+
+```javascript
+// For example:
+var myLineChart = new Chart(ctx, config);
+```
+
+#### .destroy()
+
+Use this to destroy any chart instances that are created. This will clean up any references stored to the chart object within Chart.js, along with any associated event listeners attached by Chart.js.
+This must be called before the canvas is reused for a new chart.
+
+```javascript
+// Destroys a specific chart instance
+myLineChart.destroy();
+```
+
+#### .update(duration, lazy)
+
+Triggers an update of the chart. This can be safely called after replacing the entire data object. This will update all scales, legends, and then re-render the chart.
+
+```javascript
+// duration is the time for the animation of the redraw in miliseconds
+// lazy is a boolean. if true, the animation can be interupted by other animations
+myLineChart.data.datasets[0].data[2] = 50; // Would update the first dataset's value of 'March' to be 50
+myLineChart.update(); // Calling update now animates the position of March from 90 to 50.
+```
+
+#### .render(duration, lazy)
+
+Triggers a redraw of all chart elements. Note, this does not update elements for new data. Use `.update()` in that case.
+
+```javascript
+// duration is the time for the animation of the redraw in miliseconds
+// lazy is a boolean. if true, the animation can be interupted by other animations
+myLineChart.render(duration, lazy);
+```
+
+#### .stop()
+
+Use this to stop any current animation loop. This will pause the chart during any current animation frame. Call `.render()` to re-animate.
+
+```javascript
+// Stops the charts animation loop at its current frame
+myLineChart.stop();
+// => returns 'this' for chainability
+```
+
+#### .resize()
+
+Use this to manually resize the canvas element. This is run each time the canvas container is resized, but you can call this method manually if you change the size of the canvas nodes container element.
+
+```javascript
+// Resizes & redraws to fill its container element
+myLineChart.resize();
+// => returns 'this' for chainability
+```
+
+#### .clear()
+
+Will clear the chart canvas. Used extensively internally between animation frames, but you might find it useful.
+
+```javascript
+// Will clear the canvas that myLineChart is drawn on
+myLineChart.clear();
+// => returns 'this' for chainability
+```
+
+#### .toBase64Image()
+
+This returns a base 64 encoded string of the chart in it's current state.
+
+```javascript
+myLineChart.toBase64Image();
+// => returns png data url of the image on the canvas
+```
+
+#### .generateLegend()
+
+Returns an HTML string of a legend for that chart. The legend is generated from the `legendCallback` in the options.
+
+```javascript
+myLineChart.generateLegend();
+// => returns HTML string of a legend for this chart
+```
+
+#### .getElementAtEvent(e)
+
+Calling `getElementAtEvent(event)` on your Chart instance passing an argument of an event, or jQuery event, will return the single element at the event position. If there are multiple items within range, only the first is returned
+
+```javascript
+myLineChart.getElementAtEvent(e);
+// => returns the first element at the event point.
+```
+
+#### .getElementsAtEvent(e)
+
+Looks for the element under the event point, then returns all elements at the same data index. This is used internally for 'label' mode highlighting.
+
+Calling `getElementsAtEvent(event)` on your Chart instance passing an argument of an event, or jQuery event, will return the point elements that are at that the same position of that event.
+
+```javascript
+canvas.onclick = function(evt){
+	var activePoints = myLineChart.getElementsAtEvent(evt);
+	// => activePoints is an array of points on the canvas that are at the same position as the click event.
+};
+```
+
+This functionality may be useful for implementing DOM based tooltips, or triggering custom behaviour in your application.
+
+#### .getDatasetAtEvent(e)
+
+Looks for the element under the event point, then returns all elements from that dataset. This is used internally for 'dataset' mode highlighting
+
+```javascript
+myLineChart.getDatasetAtEvent(e);
+// => returns an array of elements
+```
+
+### External Tooltips
+
+You can enable custom tooltips in the global or chart configuration like so:
+
+```javascript
+var myPieChart = new Chart(ctx, {
+	type: 'pie',
+	data: data,
+	options: {
+		tooltips: {
+			custom: function(tooltip) {
+				// tooltip will be false if tooltip is not visible or should be hidden
+				if (!tooltip) {
+					return;
+				}
+
+				// Otherwise, tooltip will be an object with all tooltip properties like:
+
+				// tooltip.caretHeight
+				// tooltip.caretPadding
+				// tooltip.chart
+				// tooltip.cornerRadius
+				// tooltip.fillColor
+				// tooltip.font...
+				// tooltip.text
+				// tooltip.x
+				// tooltip.y
+				// etc...
+			}
+		}
+	}
+});
+```
+
+See `sample/line-customTooltips.html` for examples on how to get started.
+
+### Writing new scale types
+
+Starting with Chart.js 2.0 scales can be individually extended. Scales should always derive from Chart.Scale.
+
+```javascript
+var MyScale = Chart.Scale.extend({
+	/* extensions ... */
+});
+
+// MyScale is now derived from Chart.Scale
+```
+
+Once you have created your scale class, you need to register it with the global chart object so that it can be used. A default config for the scale may be provided when registering the constructor. The first parameter to the register function is a string key that is used later to identify which scale type to use for a chart.
+
+```javascript
+Chart.scaleService.registerScaleType('myScale', MyScale, defaultConfigObject);
+```
+
+To use the new scale, simply pass in the string key to the config when creating a chart.
+
+```javascript
+var lineChart = new Chart(ctx, {
+	data: data,
+	type: 'line',
+	options: {
+		scales: {
+			yAxes: [{
+				type: 'myScale' // this is the same key that was passed to the registerScaleType function
+			}]
+		}
+	}
+})
+```
+
+#### Scale Properties
+
+Scale instances are given the following properties during the fitting process.
+
+```javascript
+{
+	left: Number, // left edge of the scale bounding box
+	right: Number, // right edge of the bounding box'
+	top: Number, 
+	bottom: Number,
+	width: Number, // the same as right - left
+	height: Number, // the same as bottom - top
+
+	// Margin on each side. Like css, this is outside the bounding box. 
+	margins: {
+		left: Number,
+		right: Number,
+		top: Number,
+		bottom: Number,
+	},
+
+	// Amount of padding on the inside of the bounding box (like CSS)
+	paddingLeft: Number,
+	paddingRight: Number,
+	paddingTop: Number,
+	paddingBottom: Number,
+}
+```
+
+#### Scale Interface
+To work with Chart.js, custom scale types must implement the following interface. 
+
+```javascript
+{
+	// Determines the data limits. Should set this.min and this.max to be the data max/min
+	determineDataLimits: function() {},
+
+	// Generate tick marks. this.chart is the chart instance. The data object can be accessed as this.chart.data
+	// buildTicks() should create a ticks array on the scale instance, if you intend to use any of the implementations from the base class
+	buildTicks: function() {},
+
+	// Get the value to show for the data at the given index of the the given dataset, ie this.chart.data.datasets[datasetIndex].data[index]
+	getLabelForIndex: function(index, datasetIndex) {},
+
+	// Get the pixel (x coordinate for horizontal scale, y coordinate for vertical scales) for a given value
+	// @param index: index into the ticks array
+	// @param includeOffset: if true, get the pixel halway between the given tick and the next
+	getPixelForTick: function(index, includeOffset) {},
+
+	// Get the pixel (x coordinate for horizontal scale, y coordinate for vertical scales) for a given value
+	// @param value : the value to get the pixel for
+	// @param index : index into the data array of the value
+	// @param datasetIndex : index of the dataset the value comes from
+	// @param includeOffset : if true, get the pixel halway between the given tick and the next
+	getPixelForValue: function(value, index, datasetIndex, includeOffset) {}
+}
+```
+
+Optionally, the following methods may also be overwritten, but an implementation is already provided by the `Chart.Scale` base class.
+
+```javascript
+	// Transform the ticks array of the scale instance into strings. The default implementation simply calls this.options.ticks.callback(numericalTick, index, ticks); 
+	convertTicksToLabels: function() {},
+
+	// Determine how much the labels will rotate by. The default implementation will only rotate labels if the scale is horizontal. 
+	calculateTickRotation: function() {},
+
+	// Fits the scale into the canvas.
+	// this.maxWidth and this.maxHeight will tell you the maximum dimensions the scale instance can be. Scales should endeavour to be as efficient as possible with canvas space.
+	// this.margins is the amount of space you have on either side of your scale that you may expand in to. This is used already for calculating the best label rotation
+	// You must set this.minSize to be the size of your scale. It must be an object containing 2 properties: width and height.
+	// You must set this.width to be the width and this.height to be the height of the scale
+	fit: function() {},
+
+	// Draws the scale onto the canvas. this.(left|right|top|bottom) will have been populated to tell you the area on the canvas to draw in
+	// @param chartArea : an object containing four properties: left, right, top, bottom. This is the rectangle that lines, bars, etc will be drawn in. It may be used, for example, to draw grid lines.
+	draw: function(chartArea) {},
+```
+
+The Core.Scale base class also has some utility functions that you may find useful.
+```javascript
+{	
+	// Returns true if the scale instance is horizontal
+	isHorizontal: function(){},
+
+	// Get the correct value from the value from this.chart.data.datasets[x].data[]
+	// If dataValue is an object, returns .x or .y depending on the return of isHorizontal()
+	// If the value is undefined, returns NaN
+	// Otherwise returns the value.
+	// Note that in all cases, the returned value is not guaranteed to be a Number
+	getRightValue: function(dataValue){},
+}
+```
+
+### Writing new chart types
+
+Chart.js 2.0 introduces the concept of controllers for each dataset. Like scales, new controllers can be written as needed.
+
+```javascript
+Chart.controllers.MyType = Chart.DatasetController.extend({
+
+});
+
+
+// Now we can create a new instance of our chart, using the Chart.js API
+new Chart(ctx, {
+	// this is the string the constructor was registered at, ie Chart.controllers.MyType
+	type: 'MyType',
+	data: data,
+	options: options
+});
+```
+
+#### Dataset Controller Interface
+
+Dataset controllers must implement the following interface.
+
+```javascript
+{
+	// Create elements for each piece of data in the dataset. Store elements in an array on the dataset as dataset.metaData
+	addElements: function() {},
+
+	// Create a single element for the data at the given index and reset its state
+	addElementAndReset: function(index) {},
+
+	// Draw the representation of the dataset
+	// @param ease : if specified, this number represents how far to transition elements. See the implementation of draw() in any of the provided controllers to see how this should be used
+	draw: function(ease) {},
+
+	// Remove hover styling from the given element
+	removeHoverStyle: function(element) {},
+
+	// Add hover styling to the given element
+	setHoverStyle: function(element) {},
+
+	// Update the elements in response to new data
+	// @param reset : if true, put the elements into a reset state so they can animate to their final values
+	update: function(reset) {},
+}
+```
+
+The following methods may optionally be overridden by derived dataset controllers
+```javascript
+{
+	// Initializes the controller
+	initialize: function(chart, datasetIndex) {},
+
+	// Ensures that the dataset represented by this controller is linked to a scale. Overridden to helpers.noop in the polar area and doughnut controllers as these
+	// chart types using a single scale
+	linkScales: function() {},
+
+	// Called by the main chart controller when an update is triggered. The default implementation handles the number of data points changing and creating elements appropriately. 
+	buildOrUpdateElements: function() {}
+}
+```
+
+### Extending existing chart types
+
+Extending or replacing an existing controller type is easy. Simply replace the constructor for one of the built in types with your own.
+
+The built in controller types are:
+* `Chart.controllers.line`
+* `Chart.controllers.bar`
+* `Chart.controllers.radar`
+* `Chart.controllers.doughnut`
+* `Chart.controllers.polarArea`
+* `Chart.controllers.bubble`
+
+#### Bar Controller
+The bar controller has a special property that you should be aware of. To correctly calculate the width of a bar, the controller must determine the number of datasets that map to bars. To do this, the bar controller attaches a property `bar` to the dataset during initialization. If you are creating a replacement or updated bar controller, you should do the same. This will ensure that charts with regular bars and your new derived bars will work seamlessly.
+
+### Building Chart.js
+
+Chart.js uses <a href="http://gulpjs.com/" target="_blank">gulp</a> to build the library into a single JavaScript file. 
+
+Firstly, we need to ensure development dependencies are installed. With node and npm installed, after cloning the Chart.js repo to a local directory, and navigating to that directory in the command line, we can run the following:
+
+```bash
+npm install
+npm install -g gulp
+```
+
+This will install the local development dependencies for Chart.js, along with a CLI for the JavaScript task runner <a href="http://gulpjs.com/" target="_blank">gulp</a>.
+
+Now, we can run the `gulp build` task.
+
+```bash
+gulp build
+```

gulpfile.js

@@ -12,52 +12,103 @@ var gulp = require('gulp'),
 	exec = require('child_process').exec,
 	fs = require('fs'),
 	package = require('./package.json'),
-	bower = require('./bower.json');
+	bower = require('./bower.json'),
+	karma = require('gulp-karma'),
+	umd = require('gulp-umd');
 
 var srcDir = './src/';
+var testDir = './test/';
 /*
- *	Usage : gulp build --types=Bar,Line,Doughnut
- *	Output: - A built Chart.js file with Core and types Bar, Line and Doughnut concatenated together
- *			- A minified version of this code, in Chart.min.js
+ *  Usage : gulp build --types=Bar,Line,Doughnut
+ *  Output: - A built Chart.js file with Core and types Bar, Line and Doughnut concatenated together
+ *          - A minified version of this code, in Chart.min.js
  */
 
-gulp.task('build', function(){
+var srcFiles = [
+	'./node_modules/color/dist/color.min.js',
+	'./src/core/core.js',
+	'./src/core/core.helpers.js',
+	'./src/core/core.element.js',
+	'./src/core/**',
+	'./src/controllers/**',
+	'./src/scales/**',
+	'./src/elements/**',
+	'./src/charts/**',
+];
 
-	// Default to all of the chart types, with Chart.Core first
-	var srcFiles = [FileName('Core')],
-		isCustom = !!(util.env.types),
+var preTestFiles = [
+	'./node_modules/moment/min/moment.min.js',
+];
+
+var testFiles = [
+	'./test/mockContext.js',
+	'./test/*.js'
+];
+
+gulp.task('build', buildTask);
+gulp.task('coverage', coverageTask);
+gulp.task('watch', watchTask);
+gulp.task('bump', bumpTask);
+gulp.task('release', ['build'], releaseTask);
+gulp.task('jshint', jshintTask);
+gulp.task('test', ['jshint', 'validHTML', 'unittest']);
+gulp.task('size', ['library-size', 'module-sizes']);
+gulp.task('server', serverTask);
+gulp.task('validHTML', validHTMLTask);
+gulp.task('unittest', unittestTask);
+gulp.task('unittestWatch', unittestWatchTask);
+gulp.task('library-size', librarySizeTask);
+gulp.task('module-sizes', moduleSizesTask);
+gulp.task('_open', _openTask);
+gulp.task('dev', ['server', 'default']);
+
+gulp.task('default', ['build', 'watch']);
+
+
+function buildTask() {
+
+	var isCustom = !!(util.env.types),
 		outputDir = (isCustom) ? 'custom' : '.';
-	if (isCustom){
-		util.env.types.split(',').forEach(function(type){ return srcFiles.push(FileName(type));});
-	}
-	else{
-		// Seems gulp-concat remove duplicates - nice!
-		// So we can use this to sort out dependency order - aka include Core first!
-		srcFiles.push(srcDir+'*');
-	}
 
 	return gulp.src(srcFiles)
 		.pipe(concat('Chart.js'))
 		.pipe(replace('{{ version }}', package.version))
+		.pipe(umd({
+			// We want a global always to ensure that we match previous behaviour
+			templateSource:
+				";(function(root, factory) {\n"+
+				"  if (typeof define === 'function' && define.amd) {\n"+
+				"    define(<%= amd %>, factory);\n"+
+				"  } else if (typeof exports === 'object') {\n"+
+				"    module.exports = factory.call(root,<%= cjs %>);\n"+
+				"  } else {\n"+
+				"    root.<%= namespace %> = factory.call(root,<%= global %>);\n"+
+				"  }\n"+
+				"}(this, function(<%= param %>) {\n"+
+				"<%= contents %>\n"+
+				"return <%= exports %>;\n"+
+				"}));\n",
+			dependencies: function() {
+				return ['moment']
+			}
+		}))
 		.pipe(gulp.dest(outputDir))
-		.pipe(uglify({preserveComments:'some'}))
+		.pipe(uglify({
+			preserveComments: 'some'
+		}))
 		.pipe(concat('Chart.min.js'))
 		.pipe(gulp.dest(outputDir));
 
-	function FileName(moduleName){
-		return srcDir+'Chart.'+moduleName+'.js';
-	}
-});
+}
 
 /*
- *	Usage : gulp bump
- *	Prompts: Version increment to bump
- *	Output: - New version number written into package.json & bower.json
+ *  Usage : gulp bump
+ *  Prompts: Version increment to bump
+ *  Output: - New version number written into package.json & bower.json
  */
-
-gulp.task('bump', function(complete){
+function bumpTask(complete) {
 	util.log('Current version:', util.colors.cyan(package.version));
-	var choices = ['major', 'premajor', 'minor', 'preminor', 'patch', 'prepatch', 'prerelease'].map(function(versionType){
+	var choices = ['major', 'premajor', 'minor', 'preminor', 'patch', 'prepatch', 'prerelease'].map(function(versionType) {
 		return versionType + ' (v' + semver.inc(package.version, versionType) + ')';
 	});
 	inquirer.prompt({
@@ -65,7 +116,7 @@ gulp.task('bump', function(complete){
 		name: 'version',
 		message: 'What version update would you like?',
 		choices: choices
-	}, function(res){
+	}, function(res) {
 		var increment = res.version.split(' ')[0],
 			newVersion = semver.inc(package.version, increment);
 
@@ -79,59 +130,97 @@ gulp.task('bump', function(complete){
 
 		complete();
 	});
-});
+}
 
-gulp.task('release', ['build'], function(){
+
+function releaseTask() {
 	exec('git tag -a v' + package.version);
-});
+}
 
-gulp.task('jshint', function(){
-	return gulp.src(srcDir + '*.js')
+
+function jshintTask() {
+	return gulp.src(srcDir + '**/*.js')
 		.pipe(jshint())
 		.pipe(jshint.reporter('default'));
-});
+}
 
-gulp.task('valid', function(){
+
+function validHTMLTask() {
 	return gulp.src('samples/*.html')
-    .pipe(htmlv());
-});
+		.pipe(htmlv());
+}
 
-gulp.task('library-size', function(){
+
+function unittestTask() {
+	var files = srcFiles.slice();
+	Array.prototype.unshift.apply(files, preTestFiles);
+	Array.prototype.push.apply(files, testFiles);
+
+	return gulp.src(files)
+		.pipe(karma({
+			configFile: 'karma.conf.ci.js',
+			action: 'run'
+		}));
+}
+
+function unittestWatchTask() {
+	var files = srcFiles.slice();
+	Array.prototype.unshift.apply(files, preTestFiles);
+	Array.prototype.push.apply(files, testFiles);
+
+	return gulp.src(files)
+		.pipe(karma({
+			configFile: 'karma.conf.js',
+			action: 'watch'
+		}));
+}
+
+function coverageTask() {
+	var files = srcFiles.slice();
+	Array.prototype.unshift.apply(files, preTestFiles);
+	Array.prototype.push.apply(files, testFiles);
+
+	return gulp.src(files)
+		.pipe(karma({
+			configFile: 'karma.coverage.conf.js',
+			action: 'run'
+		}));
+}
+
+function librarySizeTask() {
 	return gulp.src('Chart.min.js')
 		.pipe(size({
 			gzip: true
 		}));
-});
+}
 
-gulp.task('module-sizes', function(){
+function moduleSizesTask() {
 	return gulp.src(srcDir + '*.js')
-	.pipe(uglify({preserveComments:'some'}))
-	.pipe(size({
-		showFiles: true,
-		gzip: true
-	}));
-});
+		.pipe(uglify({
+			preserveComments: 'some'
+		}))
+		.pipe(size({
+			showFiles: true,
+			gzip: true
+		}));
+}
 
-gulp.task('watch', function(){
-	gulp.watch('./src/*', ['build']);
-});
+function watchTask() {
+	if (util.env.test) {
+		return gulp.watch('./src/**', ['build', 'unittest', 'unittestWatch']);
+	}
+	return gulp.watch('./src/**', ['build']);
+}
 
-gulp.task('test', ['jshint', 'valid']);
-
-gulp.task('size', ['library-size', 'module-sizes']);
-
-gulp.task('default', ['build', 'watch']);
-
-gulp.task('server', function(){
+function serverTask() {
 	connect.server({
 		port: 8000
 	});
-});
+}
 
 // Convenience task for opening the project straight from the command line
-gulp.task('_open', function(){
+
+function _openTask() {
 	exec('open http://localhost:8000');
 	exec('subl .');
-});
-
-gulp.task('dev', ['server', 'default']);
+}

karma.conf.ci.js

@@ -0,0 +1,19 @@
+module.exports = function(config) {
+	var configuration = {
+		browsers: ['Firefox'],
+		customLaunchers: {
+			Chrome_travis_ci: {
+				base: 'Chrome',
+				flags: ['--no-sandbox']
+			}
+		},
+		frameworks: ['jasmine'],
+		reporters: ['progress', 'html'],
+	};
+
+	if (process.env.TRAVIS) {
+		configuration.browsers.push('Chrome_travis_ci');
+	}
+
+	config.set(configuration);
+};

karma.conf.js

@@ -0,0 +1,7 @@
+module.exports = function(config) {
+	config.set({
+		browsers: ['Chrome', 'Firefox'],
+		frameworks: ['jasmine'],
+		reporters: ['progress', 'html'],
+	});
+};

karma.coverage.conf.js

@@ -0,0 +1,18 @@
+module.exports = function(config) {
+	config.set({
+		browsers: ['Chrome', 'Firefox'],
+
+		coverageReporter: {
+			type: 'html',
+			dir: 'coverage/'
+		},
+
+		frameworks: ['jasmine'],
+
+		preprocessors: {
+			'src/**/*.js': ['coverage']
+		},
+		
+		reporters: ['progress', 'coverage'],
+	});
+};

package.json

@@ -2,27 +2,41 @@
   "name": "chart.js",
   "homepage": "http://www.chartjs.org",
   "description": "Simple HTML5 charts using the canvas element.",
-  "version": "1.0.2",
+  "version": "2.0.0-beta2",
   "main": "Chart.js",
   "repository": {
     "type": "git",
     "url": "https://github.com/nnnick/Chart.js.git"
   },
-  "dependences": {},
   "devDependencies": {
+    "color": "git://github.com/chartjs/color",
     "gulp": "3.5.x",
     "gulp-concat": "~2.1.x",
     "gulp-connect": "~2.0.5",
+    "gulp-html-validator": "^0.0.2",
     "gulp-jshint": "~1.5.1",
+    "gulp-karma": "0.0.4",
     "gulp-replace": "^0.4.0",
     "gulp-size": "~0.4.0",
     "gulp-uglify": "~0.2.x",
     "gulp-util": "~2.2.x",
-    "gulp-html-validator": "^0.0.2",
     "inquirer": "^0.5.1",
-    "semver": "^3.0.1"
+    "jasmine": "^2.3.2",
+    "jasmine-core": "^2.3.4",
+    "jquery": "^2.1.4",
+    "karma": "^0.12.37",
+    "karma-chrome-launcher": "^0.2.0",
+    "karma-coverage": "^0.5.1",
+    "karma-firefox-launcher": "^0.1.6",
+    "karma-jasmine": "^0.3.6",
+    "karma-jasmine-html-reporter": "^0.1.8",
+    "semver": "^3.0.1",
+    "gulp-umd": "~0.2.0"
   },
   "spm": {
     "main": "Chart.js"
+  },
+  "dependencies": {
+    "moment": "^2.10.6"
   }
-}
+}

samples/AnimationCallbacks/progress-bar.html

@@ -0,0 +1,161 @@
+<!doctype html>
+<html>
+<head>
+	<title> Animation Callbacks </title>
+    <script src="../../Chart.js"></script>
+    <script src="../../node_modules/jquery/dist/jquery.min.js"></script>
+    <style>
+        canvas {
+            -webkit-box-shadow: 0 0 20px 0 rgba(0, 0, 0, .5);
+        }
+    </style>
+</head>
+
+<body>
+    <div style="width: 100 %;">
+        <canvas id="canvas" style="width: 100 % ;height: 100 %"></canvas>
+        <progress id="animationProgress" max="1" value="0" style="width: 100%"></progress>
+    </div>
+    <br>
+    <br>
+    <button id="randomizeData">Randomize Data</button>
+    <button id="addDataset">Add Dataset</button>
+    <button id="removeDataset">Remove Dataset</button>
+    <button id="addData">Add Data</button>
+    <button id="removeData">Remove Data</button>
+    <script>
+        var randomScalingFactor = function() {
+            return Math.round(Math.random() * 100);
+        };
+        var randomColorFactor = function() {
+            return Math.round(Math.random() * 255);
+        };
+        var randomColor = function(opacity) {
+            return 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',' + (opacity || '.3') + ')';
+        };
+
+        var $progress = $('#animationProgress');
+
+        var config = {
+            type: 'line',
+            data: {
+                labels: ["January", "February", "March", "April", "May", "June", "July"],
+                datasets: [{
+                    label: "My First dataset ",
+                    data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
+                    fill: false,
+                    borderDash: [5, 5],
+                }, {
+                    label: "My Second dataset ",
+                    data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
+                }]
+            },
+            options: {
+                animation: {
+                    duration: 2000,
+                    onProgress: function(animation) {
+                        $progress.attr({
+                            value: animation.animationObject.currentStep / animation.animationObject.numSteps,
+                        });
+                    },
+                    onComplete: function(animation) {
+                        window.setTimeout(function() {
+                            $progress.attr({
+                                value: 0
+                            });
+                        }, 2000);
+                    }
+                },
+                tooltips: {
+                    mode: 'label',
+                },
+                scales: {
+                    xAxes: [{
+                        scaleLabel: {
+                            show: true,
+                            labelString: 'Month'
+                        }
+                    }],
+                    yAxes: [{
+                        scaleLabel: {
+                            show: true,
+                            labelString: 'Value'
+                        },
+                    }]
+                }
+            }
+        };
+
+        $.each(config.data.datasets, function(i, dataset) {
+            dataset.borderColor = randomColor(0.4);
+            dataset.backgroundColor = randomColor(0.5);
+            dataset.pointBorderColor = randomColor(0.7);
+            dataset.pointBackgroundColor = randomColor(0.5);
+            dataset.pointBorderWidth = 1;
+        });
+
+        window.onload = function() {
+            var ctx = document.getElementById("canvas").getContext("2d");
+            window.myLine = new Chart(ctx, config);
+        };
+
+        $('#randomizeData').click(function() {
+            $.each(config.data.datasets, function(i, dataset) {
+                dataset.data = dataset.data.map(function() {
+                    return randomScalingFactor();
+                });
+
+            });
+
+            window.myLine.update();
+        });
+
+        $('#addDataset').click(function() {
+            var newDataset = {
+                label: 'Dataset ' + config.data.datasets.length,
+                borderColor: randomColor(0.4),
+                backgroundColor: randomColor(0.5),
+                pointBorderColor: randomColor(0.7),
+                pointBackgroundColor: randomColor(0.5),
+                pointBorderWidth: 1,
+                data: [],
+            };
+
+            for (var index = 0; index < config.data.labels.length; ++index) {
+                newDataset.data.push(randomScalingFactor());
+            }
+
+            config.data.datasets.push(newDataset);
+            window.myLine.update();
+        });
+
+        $('#addData').click(function() {
+            if (config.data.datasets.length > 0) {
+                config.data.labels.push('dataset #' + config.data.labels.length);
+
+                $.each(config.data.datasets, function(i, dataset) {
+                    dataset.data.push(randomScalingFactor());
+                });
+
+                window.myLine.update();
+            }
+        });
+
+        $('#removeDataset').click(function() {
+            config.data.datasets.splice(0, 1);
+            window.myLine.update();
+        });
+
+        $('#removeData').click(function() {
+            config.data.labels.splice(-1, 1); // remove the label first
+
+            config.data.datasets.forEach(function(dataset, datasetIndex) {
+                dataset.data.pop();
+            });
+
+            window.myLine.update();
+        });
+    </script>
+</body>
+
+</html>

samples/bar-multi-axis.html

@@ -0,0 +1,91 @@
+<!doctype html>
+<html>
+
+<head>
+    <title>Bar Chart Multi Axis</title>
+    <script src="../node_modules/jquery/dist/jquery.min.js"></script>
+    <script src="../Chart.js"></script>
+</head>
+
+<body>
+    <div style="width: 50%">
+        <canvas id="canvas" height="450" width="600"></canvas>
+    </div>
+    <button id="randomizeData">Randomize Data</button>
+    <script>
+    var randomScalingFactor = function() {
+        return (Math.random() > 0.5 ? 1.0 : -1.0) * Math.round(Math.random() * 100);
+    };
+    var randomColorFactor = function() {
+        return Math.round(Math.random() * 255);
+    };
+    var randomColor = function() {
+        return 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',.7)';
+    };
+
+    var barChartData = {
+        labels: ["January", "February", "March", "April", "May", "June", "July"],
+        datasets: [{
+            label: 'Dataset 1',
+            backgroundColor: "rgba(220,220,220,0.5)",
+            yAxisID: "y-axis-1",
+            data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()]
+        }, {
+            label: 'Dataset 2',
+            backgroundColor: "rgba(151,187,205,0.5)",
+            yAxisID: "y-axis-2",
+            data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()]
+        }, {
+            label: 'Dataset 3',
+            backgroundColor: [randomColor(), randomColor(), randomColor(), randomColor(), randomColor(), randomColor(), randomColor()],
+            yAxisID: "y-axis-1",
+            data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()]
+        }]
+
+    };
+    window.onload = function() {
+        var ctx = document.getElementById("canvas").getContext("2d");
+        window.myBar = Chart.Bar(ctx, {
+            data: barChartData, 
+            options: {
+                responsive: true,
+                hoverMode: 'label',
+                hoverAnimationDuration: 400,
+                stacked: false,
+                scales: {
+                    yAxes: [{
+                        type: "linear", // only linear but allow scale type registration. This allows extensions to exist solely for log scale for instance
+                        display: true,
+                        position: "left",
+                        id: "y-axis-1",
+                    }, {
+                        type: "linear", // only linear but allow scale type registration. This allows extensions to exist solely for log scale for instance
+                        display: true,
+                        position: "right",
+                        id: "y-axis-2",
+                        gridLines: {
+                            drawOnChartArea: false
+                        }
+                    }],
+                }
+            }
+        });
+    };
+
+    $('#randomizeData').click(function() {
+        $.each(barChartData.datasets, function(i, dataset) {
+            if (Chart.helpers.isArray(dataset.backgroundColor)) {
+                dataset.backgroundColor= [randomColor(), randomColor(), randomColor(), randomColor(), randomColor(), randomColor(), randomColor()];
+            } else {
+                dataset.backgroundColor= randomColor();
+            }
+
+            dataset.data = [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()];
+
+        });
+        window.myBar.update();
+    });
+    </script>
+</body>
+
+</html>

samples/bar-stacked.html

@@ -0,0 +1,73 @@
+<!doctype html>
+<html>
+
+<head>
+    <title>Stacked Bar Chart</title>
+    <script src="../node_modules/jquery/dist/jquery.min.js"></script>
+    <script src="../Chart.js"></script>
+</head>
+
+<body>
+    <div style="width: 50%">
+        <canvas id="canvas" height="450" width="600"></canvas>
+    </div>
+    <button id="randomizeData">Randomize Data</button>
+    <script>
+        var randomScalingFactor = function() {
+            return (Math.random() > 0.5 ? 1.0 : -1.0) * Math.round(Math.random() * 100);
+        };
+        var randomColorFactor = function() {
+            return Math.round(Math.random() * 255);
+        };
+
+        var barChartData = {
+            labels: ["January", "February", "March", "April", "May", "June", "July"],
+            datasets: [{
+                label: 'Dataset 1',
+                backgroundColor: "rgba(220,220,220,0.5)",
+                data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()]
+            }, {
+                label: 'Dataset 2',
+                backgroundColor: "rgba(151,187,205,0.5)",
+                data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()]
+            }, {
+                label: 'Dataset 3',
+                backgroundColor: "rgba(151,187,205,0.5)",
+                data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()]
+            }]
+
+        };
+        window.onload = function() {
+            var ctx = document.getElementById("canvas").getContext("2d");
+            window.myBar = new Chart(ctx, {
+                type: 'bar',
+                data: barChartData,
+                options: {
+                    tooltips: {
+                        mode: 'label'
+                    },
+                    responsive: true,
+                    scales: {
+                        xAxes: [{
+                            stacked: true,
+                        }],
+                        yAxes: [{
+                            stacked: true
+                        }]
+                    }
+                }
+            });
+        };
+
+        $('#randomizeData').click(function() {
+            $.each(barChartData.datasets, function(i, dataset) {
+                dataset.backgroundColor = 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',.7)';
+                dataset.data = [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()];
+
+            });
+            window.myBar.update();
+        });
+    </script>
+</body>
+
+</html>

samples/bar.html

@@ -1,57 +1,152 @@
 <!doctype html>
 <html>
-	<head>
-		<title>Bar Chart</title>
-		<script src="../Chart.js"></script>
-		<script src="http://cdnjs.cloudflare.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
-	</head>
-	<body>
-		<div style="width: 50%">
-			<canvas id="canvas" height="450" width="600"></canvas>
-		</div>
-		<button id="randomizeData">Randomize Data</button>
 
-	<script>
-	var randomScalingFactor = function(){ return Math.round(Math.random()*100)};
-	var randomColorFactor = function(){ return Math.round(Math.random()*255)};
+<head>
+    <title>Bar Chart</title>
+    <script src="../node_modules/jquery/dist/jquery.min.js"></script>
+    <script src="../Chart.js"></script>
+    <style type="text/css">
+        canvas {
+            border: 1px solid red;
+        }
+    </style>
+</head>
 
-	var barChartData = {
-		labels : ["January","February","March","April","May","June","July"],
-		datasets : [
-			{
-				fillColor : "rgba(220,220,220,0.5)",
-				strokeColor : "rgba(220,220,220,0.8)",
-				highlightFill: "rgba(220,220,220,0.75)",
-				highlightStroke: "rgba(220,220,220,1)",
-				data : [randomScalingFactor(),randomScalingFactor(),randomScalingFactor(),randomScalingFactor(),randomScalingFactor(),randomScalingFactor(),randomScalingFactor()]
-			},
-			{
-				fillColor : "rgba(151,187,205,0.5)",
-				strokeColor : "rgba(151,187,205,0.8)",
-				highlightFill : "rgba(151,187,205,0.75)",
-				highlightStroke : "rgba(151,187,205,1)",
-				data : [randomScalingFactor(),randomScalingFactor(),randomScalingFactor(),randomScalingFactor(),randomScalingFactor(),randomScalingFactor(),randomScalingFactor()]
-			}
-		]
+<body>
+    <div id="container" style="width: 50%; height: 25%;">
+        <canvas id="canvas" height="450" width="600"></canvas>
+    </div>
+    <button id="randomizeData">Randomize Data</button>
+    <button id="addDataset">Add Dataset</button>
+    <button id="removeDataset">Remove Dataset</button>
+    <button id="addData">Add Data</button>
+    <button id="removeData">Remove Data</button>
+    <button id="show">Show</button>
+    <div>
+        <h3>Legend</h3>
+        <div id="legendContainer">
+        </div>
+    </div>
+    <script>
+        var randomScalingFactor = function() {
+            return (Math.random() > 0.5 ? 1.0 : -1.0) * Math.round(Math.random() * 100);
+        };
+        var randomColorFactor = function() {
+            return Math.round(Math.random() * 255);
+        };
+        var randomColor = function() {
+            return 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',.7)';
+        };
 
-	}
-	window.onload = function(){
-		var ctx = document.getElementById("canvas").getContext("2d");
-		window.myBar = new Chart(ctx).Bar(barChartData, {
-			responsive : true
-		});
-	}
+        var barChartData = {
+            labels: ["January", "February", "March", "April", "May", "June", "July"],
+            datasets: [{
+                label: 'Dataset 1',
+                backgroundColor: "rgba(220,220,220,0.5)",
+                data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()]
+            }, {
+                hidden: true,
+                label: 'Dataset 2',
+                backgroundColor: "rgba(151,187,205,0.5)",
+                data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()]
+            }, {
+                label: 'Dataset 3',
+                backgroundColor: "rgba(151,187,205,0.5)",
+                data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()]
+            }]
 
-	$('#randomizeData').click(function(){
-    	barChartData.datasets[0].fillColor = 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',.7)';
-    	barChartData.datasets[0].data = [randomScalingFactor(),randomScalingFactor(),randomScalingFactor(),randomScalingFactor(),randomScalingFactor(),randomScalingFactor(),randomScalingFactor()];
+        };
 
-    	barChartData.datasets[1].fillColor = 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',.7)';
-    	barChartData.datasets[1].data = [randomScalingFactor(),randomScalingFactor(),randomScalingFactor(),randomScalingFactor(),randomScalingFactor(),randomScalingFactor(),randomScalingFactor()];
+        function updateLegend() {
+            $legendContainer = $('#legendContainer');
+            $legendContainer.empty();
+            $legendContainer.append(window.myBar.generateLegend());
+        }
 
-    	window.myBar.update();
-    });
+        window.onload = function() {
+            var ctx = document.getElementById("canvas").getContext("2d");
+            window.myBar = new Chart(ctx, {
+                type: 'bar',
+                data: barChartData,
+                options: {
+                    responsive: true,
+                    legend: {
+                        position: 'top',
+                    },
+                    title: {
+                        display: true,
+                        text: 'Our 3 Favorite Datasets'
+                    }
+                }
+            });
+
+            updateLegend();
+        };
+
+        $('#randomizeData').click(function() {
+            var zero = Math.random() < 0.2 ? true : false;
+            $.each(barChartData.datasets, function(i, dataset) {
+                dataset.backgroundColor = randomColor();
+                dataset.data = dataset.data.map(function() {
+                    return zero ? 0.0 : randomScalingFactor();
+                });
+
+            });
+            window.myBar.update();
+            updateLegend();
+        });
+
+        $('#addDataset').click(function() {
+            var newDataset = {
+                label: 'Dataset ' + barChartData.datasets.length,
+                backgroundColor: randomColor(),
+                data: []
+            };
+
+            for (var index = 0; index < barChartData.labels.length; ++index) {
+                newDataset.data.push(randomScalingFactor());
+            }
+
+            barChartData.datasets.push(newDataset);
+            window.myBar.update();
+            updateLegend();
+        });
+
+        $('#addData').click(function() {
+            if (barChartData.datasets.length > 0) {
+                barChartData.labels.push('data #' + barChartData.labels.length);
+
+                for (var index = 0; index < barChartData.datasets.length; ++index) {
+                    //window.myBar.addData(randomScalingFactor(), index);
+                    barChartData.datasets[index].data.push(randomScalingFactor());
+                }
+
+                window.myBar.update();
+                updateLegend();
+            }
+        });
+
+        $('#removeDataset').click(function() {
+            barChartData.datasets.splice(0, 1);
+            window.myBar.update();
+            updateLegend();
+        });
+
+        $('#removeData').click(function() {
+            barChartData.labels.splice(-1, 1); // remove the label first
+
+            barChartData.datasets.forEach(function(dataset, datasetIndex) {
+                dataset.data.pop();
+            });
+
+            window.myBar.update();
+            updateLegend();
+        });
+
+        $('#show').click(function() {
+            document.getElementById('container').style.display = '';
+        });
+    </script>
+</body>
 
-	</script>
-	</body>
 </html>

samples/bubble.html

@@ -0,0 +1,206 @@
+<!doctype html>
+<html>
+
+<head>
+    <title>Bar Chart</title>
+    <script src="../node_modules/jquery/dist/jquery.min.js"></script>
+    <script src="../Chart.js"></script>
+    <style type="text/css">
+        canvas {
+            border: 1px solid red;
+        }
+    </style>
+</head>
+
+<body>
+    <div id="container" style="width: 100%; height: 25%;">
+        <canvas id="canvas"></canvas>
+    </div>
+    <button id="randomizeData">Randomize Data</button>
+    <button id="addDataset">Add Dataset</button>
+    <button id="removeDataset">Remove Dataset</button>
+    <button id="addData">Add Data</button>
+    <button id="removeData">Remove Data</button>
+    <button id="show">Show</button>
+    <div>
+        <h3>Legend</h3>
+        <div id="legendContainer">
+        </div>
+    </div>
+    <script>
+        var randomScalingFactor = function() {
+            return (Math.random() > 0.5 ? 1.0 : -1.0) * Math.round(Math.random() * 100);
+        };
+        var randomColorFactor = function() {
+            return Math.round(Math.random() * 255);
+        };
+        var randomColor = function() {
+            return 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',.7)';
+        };
+
+        var bubbleChartData = {
+            animation: {
+                duration: 10000
+            },
+            datasets: [{
+                label: "My First dataset",
+                backgroundColor: randomColor(),
+                data: [{
+                    x: randomScalingFactor(),
+                    y: randomScalingFactor(),
+                    r: Math.abs(randomScalingFactor()) / 5,
+                }, {
+                    x: randomScalingFactor(),
+                    y: randomScalingFactor(),
+                    r: Math.abs(randomScalingFactor()) / 5,
+                }, {
+                    x: randomScalingFactor(),
+                    y: randomScalingFactor(),
+                    r: Math.abs(randomScalingFactor()) / 5,
+                }, {
+                    x: randomScalingFactor(),
+                    y: randomScalingFactor(),
+                    r: Math.abs(randomScalingFactor()) / 5,
+                }, {
+                    x: randomScalingFactor(),
+                    y: randomScalingFactor(),
+                    r: Math.abs(randomScalingFactor()) / 5,
+                }, {
+                    x: randomScalingFactor(),
+                    y: randomScalingFactor(),
+                    r: Math.abs(randomScalingFactor()) / 5,
+                }, {
+                    x: randomScalingFactor(),
+                    y: randomScalingFactor(),
+                    r: Math.abs(randomScalingFactor()) / 5,
+                }]
+            }, {
+                label: "My Second dataset",
+                backgroundColor: randomColor(),
+                data: [{
+                    x: randomScalingFactor(),
+                    y: randomScalingFactor(),
+                    r: Math.abs(randomScalingFactor()) / 5,
+                }, {
+                    x: randomScalingFactor(),
+                    y: randomScalingFactor(),
+                    r: Math.abs(randomScalingFactor()) / 5,
+                }, {
+                    x: randomScalingFactor(),
+                    y: randomScalingFactor(),
+                    r: Math.abs(randomScalingFactor()) / 5,
+                }, {
+                    x: randomScalingFactor(),
+                    y: randomScalingFactor(),
+                    r: Math.abs(randomScalingFactor()) / 5,
+                }, {
+                    x: randomScalingFactor(),
+                    y: randomScalingFactor(),
+                    r: Math.abs(randomScalingFactor()) / 5,
+                }, {
+                    x: randomScalingFactor(),
+                    y: randomScalingFactor(),
+                    r: Math.abs(randomScalingFactor()) / 5,
+                }, {
+                    x: randomScalingFactor(),
+                    y: randomScalingFactor(),
+                    r: Math.abs(randomScalingFactor()) / 5,
+                }]
+            }]
+
+        };
+
+        function updateLegend() {
+            $legendContainer = $('#legendContainer');
+            $legendContainer.empty();
+            $legendContainer.append(window.myChart.generateLegend());
+        }
+
+        window.onload = function() {
+            var ctx = document.getElementById("canvas").getContext("2d");
+            window.myChart = new Chart(ctx, {
+                type: 'bubble',
+                data: bubbleChartData,
+                options: {
+                    responsive: true,
+                }
+            });
+
+            updateLegend();
+        };
+
+        $('#randomizeData').click(function() {
+            var zero = Math.random() < 0.2 ? true : false;
+            $.each(bubbleChartData.datasets, function(i, dataset) {
+                dataset.backgroundColor = randomColor();
+                dataset.data = dataset.data.map(function() {
+                    return {
+                        x: randomScalingFactor(),
+                        y: randomScalingFactor(),
+                        r: Math.abs(randomScalingFactor()) / 5,
+                    };
+                });
+            });
+            window.myChart.update();
+            updateLegend();
+        });
+
+        $('#addDataset').click(function() {
+            var newDataset = {
+                backgroundColor: randomColor(),
+                data: []
+            };
+
+            for (var index = 0; index < bubbleChartData.datasets[0].data.length; ++index) {
+                newDataset.data.push({
+                    x: randomScalingFactor(),
+                    y: randomScalingFactor(),
+                    r: Math.abs(randomScalingFactor()) / 5,
+                });
+            }
+
+            bubbleChartData.datasets.push(newDataset);
+            window.myChart.update();
+            updateLegend();
+        });
+
+        $('#addData').click(function() {
+            if (bubbleChartData.datasets.length > 0) {
+
+                for (var index = 0; index < bubbleChartData.datasets.length; ++index) {
+                    //window.myChart.addData(randomScalingFactor(), index);
+                    bubbleChartData.datasets[index].data.push({
+                        x: randomScalingFactor(),
+                        y: randomScalingFactor(),
+                        r: Math.abs(randomScalingFactor()) / 5,
+                    });
+                }
+
+                window.myChart.update();
+                updateLegend();
+            }
+        });
+
+        $('#removeDataset').click(function() {
+            bubbleChartData.datasets.splice(0, 1);
+            window.myChart.update();
+            updateLegend();
+        });
+
+        $('#removeData').click(function() {
+
+            bubbleChartData.datasets.forEach(function(dataset, datasetIndex) {
+                dataset.data.pop();
+            });
+
+            window.myChart.update();
+            updateLegend();
+        });
+
+        $('#show').click(function() {
+            document.getElementById('container').style.display = '';
+        });
+    </script>
+</body>
+
+</html>

samples/combo-bar-line.html

@@ -0,0 +1,69 @@
+<!doctype html>
+<html>
+
+<head>
+    <title>Combo Bar-Line Chart</title>
+    <script src="../node_modules/jquery/dist/jquery.min.js"></script>
+    <script src="../Chart.js"></script>
+</head>
+
+<body>
+    <div style="width: 50%">
+        <canvas id="canvas" height="450" width="600"></canvas>
+    </div>
+    <button id="randomizeData">Randomize Data</button>
+    <script>
+        var randomScalingFactor = function() {
+            return (Math.random() > 0.5 ? 1.0 : -1.0) * Math.round(Math.random() * 100);
+        };
+        var randomColorFactor = function() {
+            return Math.round(Math.random() * 255);
+        };
+
+        var barChartData = {
+            labels: ["January", "February", "March", "April", "May", "June", "July"],
+            datasets: [{
+                type: 'bar',
+                label: 'Dataset 1',
+                backgroundColor: "rgba(151,187,205,0.5)",
+                data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
+                borderColor: 'white',
+                borderWidth: 2
+            }, {
+                type: 'line',
+                label: 'Dataset 2',
+                backgroundColor: "rgba(151,187,205,0.5)",
+                data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
+                borderColor: 'white',
+                borderWidth: 2
+            }, {
+                type: 'bar',
+                label: 'Dataset 3',
+                backgroundColor: "rgba(220,220,220,0.5)",
+                data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()]
+            }, ]
+
+        };
+        window.onload = function() {
+            var ctx = document.getElementById("canvas").getContext("2d");
+            window.myBar = new Chart(ctx, {
+                type: 'bar',
+                data: barChartData,
+                options: {
+                    responsive: true,
+                }
+            });
+        };
+
+        $('#randomizeData').click(function() {
+            $.each(barChartData.datasets, function(i, dataset) {
+                dataset.backgroundColor = 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',.7)';
+                dataset.data = [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()];
+
+            });
+            window.myBar.update();
+        });
+    </script>
+</body>
+
+</html>

samples/doughnut.color.html

@@ -1,58 +0,0 @@
-<!doctype html>
-<html>
-	<head>
-		<title>Doughnut Chart</title>
-		<script src="../src/Chart.Core.js"></script>
-		<script src="../src/Chart.Doughnut.js"></script>
-		<style>
-			body{
-				padding: 0;
-				margin: 0;
-			}
-			#canvas-holder{
-				width:30%;
-			}
-		</style>
-	</head>
-	<body>
-		<div id="canvas-holder">
-			<canvas id="chart-area" width="500" height="500"/>
-		</div>
-
-
-	<script>
-
-		var doughnutData = [
-				{
-					value: 1,
-					label: "One"
-				},
-				{
-					value: 2,
-					label: "Two"
-				},
-				{
-					value: 3,
-					label: "Three"
-				},
-				{
-					value: 4,
-					label: "Four"
-				},
-				{
-					value: 5,
-					label: "Five"
-				}
-
-			];
-
-			window.onload = function(){
-				var ctx = document.getElementById("chart-area").getContext("2d");
-				window.myDoughnut = new Chart(ctx).Doughnut(doughnutData, {responsive : true});
-			};
-
-
-
-	</script>
-	</body>
-</html>

samples/doughnut.html

@@ -1,80 +1,199 @@
 <!doctype html>
 <html>
-	<head>
-		<title>Doughnut Chart</title>
-		<script src="../Chart.js"></script>
-		<script src="http://cdnjs.cloudflare.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
-		<style>
-			body{
-				padding: 0;
-				margin: 0;
-			}
-			#canvas-holder{
-				width:30%;
-			}
-		</style>
-	</head>
-	<body>
-		<div id="canvas-holder">
-			<canvas id="chart-area" width="500" height="500"/>
-		</div>
-		<button id="randomizeData">Randomize Data</button>
 
+<head>
+    <title>Doughnut Chart</title>
+    <script src="../Chart.js"></script>
+    <script src="http://cdnjs.cloudflare.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
+    <style>
+    body {
+        padding: 0;
+        margin: 0;
+    }
+    
+    #canvas-holder {
+        width: 30%;
+    }
+    </style>
+</head>
 
-	<script>
+<body>
+    <div id="canvas-holder" style="width:100%">
+        <canvas id="chart-area" />
+    </div>
+    <button id="randomizeData">Randomize Data</button>
+    <button id="addDataset">Add Dataset</button>
+    <button id="removeDataset">Remove Dataset</button>
+    <button id="addData">Add Data</button>
+    <button id="removeData">Remove Data</button>
+    <div>
+        <h3>Legend</h3>
+        <div id="legendContainer">
+            
+        </div>
+    </div>
+    <script>
+    var randomScalingFactor = function() {
+        return Math.round(Math.random() * 100);
+    };
+    var randomColorFactor = function() {
+        return Math.round(Math.random() * 255);
+    };
+    var randomColor = function(opacity) {
+        return 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',' + (opacity || '.3') + ')';
+    };
 
-		var randomScalingFactor = function(){ return Math.round(Math.random()*100)};
-		var randomColorFactor = function(){ return Math.round(Math.random()*255)};
+    var config = {
+        type: 'doughnut',
+        data: {
+            datasets: [{
+                data: [
+                    randomScalingFactor(),
+                    randomScalingFactor(),
+                    randomScalingFactor(),
+                    randomScalingFactor(),
+                    randomScalingFactor(),
+                ],
+                backgroundColor: [
+                    "#F7464A",
+                    "#46BFBD",
+                    "#FDB45C",
+                    "#949FB1",
+                    "#4D5360",
+                ],
+                label: 'Dataset 1'
+            }, {
+                hidden: true,
+                data: [
+                    randomScalingFactor(),
+                    randomScalingFactor(),
+                    randomScalingFactor(),
+                    randomScalingFactor(),
+                    randomScalingFactor(),
+                ],
+                backgroundColor: [
+                    "#F7464A",
+                    "#46BFBD",
+                    "#FDB45C",
+                    "#949FB1",
+                    "#4D5360",
+                ],
+                label: 'Dataset 2'
+            }, {
+                data: [
+                    randomScalingFactor(),
+                    randomScalingFactor(),
+                    randomScalingFactor(),
+                    randomScalingFactor(),
+                    randomScalingFactor(),
+                ],
+                backgroundColor: [
+                    "#F7464A",
+                    "#46BFBD",
+                    "#FDB45C",
+                    "#949FB1",
+                    "#4D5360",
+                ],
+                label: 'Dataset 3'
+            }],
+            labels: [
+                "Red",
+                "Green",
+                "Yellow",
+                "Grey",
+                "Dark Grey"
+            ]
+        },
+        options: {
+            responsive: true,
+            legend: {
+                position: 'top',
+            },
+            title: {
+                display: true,
+                text: 'Our Favorite Datasets'
+            }
+        }
+    };
 
-		var doughnutData = [
-				{
-					value: randomScalingFactor(),
-					color:"#F7464A",
-					highlight: "#FF5A5E",
-					label: "Red"
-				},
-				{
-					value: randomScalingFactor(),
-					color: "#46BFBD",
-					highlight: "#5AD3D1",
-					label: "Green"
-				},
-				{
-					value: randomScalingFactor(),
-					color: "#FDB45C",
-					highlight: "#FFC870",
-					label: "Yellow"
-				},
-				{
-					value: randomScalingFactor(),
-					color: "#949FB1",
-					highlight: "#A8B3C5",
-					label: "Grey"
-				},
-				{
-					value: randomScalingFactor(),
-					color: "#4D5360",
-					highlight: "#616774",
-					label: "Dark Grey"
-				}
+    function updateLegend() {
+        $legendContainer = $('#legendContainer');
+        $legendContainer.empty();
+        $legendContainer.append(window.myDoughnut.generateLegend());
+    }
 
-			];
+    window.onload = function() {
+        var ctx = document.getElementById("chart-area").getContext("2d");
+        window.myDoughnut = new Chart(ctx, config);
+        console.log(window.myDoughnut);
 
-			window.onload = function(){
-				var ctx = document.getElementById("chart-area").getContext("2d");
-				window.myDoughnut = new Chart(ctx).Doughnut(doughnutData, {responsive : true});
-			};
+        updateLegend();
+    };
 
-			$('#randomizeData').click(function(){
-				$.each(doughnutData, function(i, piece){
-					doughnutData[i].value = randomScalingFactor();
-			    	doughnutData[i].color = 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',.7)';
-				});
-		    	window.myDoughnut.update();
-		    });
+    $('#randomizeData').click(function() {
+        $.each(config.data.datasets, function(i, dataset) {
+            dataset.data = dataset.data.map(function() {
+                return randomScalingFactor();
+            });
 
+            dataset.backgroundColor = dataset.backgroundColor.map(function() {
+                return randomColor(0.7);
+            });
+        });
 
+        window.myDoughnut.update();
+        updateLegend();
+    });
+
+    $('#addDataset').click(function() {
+        var newDataset = {
+            backgroundColor: [],
+            data: [],
+            label: 'New dataset ' + config.data.datasets.length,
+        };
+
+        for (var index = 0; index < config.data.labels.length; ++index) {
+            newDataset.data.push(randomScalingFactor());
+            newDataset.backgroundColor.push(randomColor(0.7));
+        }
+
+        config.data.datasets.push(newDataset);
+        window.myDoughnut.update();
+        updateLegend();
+    });
+
+    $('#addData').click(function() {
+        if (config.data.datasets.length > 0) {
+            config.data.labels.push('data #' + config.data.labels.length);
+
+            $.each(config.data.datasets, function(index, dataset) {
+                dataset.data.push(randomScalingFactor());
+                dataset.backgroundColor.push(randomColor(0.7));
+            });
+
+            window.myDoughnut.update();
+            updateLegend();
+        }
+    });
+
+    $('#removeDataset').click(function() {
+        config.data.datasets.splice(0, 1);
+        window.myDoughnut.update();
+        updateLegend();
+    });
+
+    $('#removeData').click(function() {
+        config.data.labels.splice(-1, 1); // remove the label first
+
+        config.data.datasets.forEach(function(dataset, datasetIndex) {
+            dataset.data.pop();
+            dataset.backgroundColor.pop();
+        });
+
+        window.myDoughnut.update();
+        updateLegend();
+    });
+    </script>
+</body>
 
-	</script>
-	</body>
 </html>

samples/line-customTooltips.html

@@ -2,128 +2,143 @@
 <html>
 
 <head>
-    <title>Line Chart with Custom Tooltips</title>
-    <script src="../Chart.js"></script>
-    <script src="http://cdnjs.cloudflare.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
-
-    <style>
+  <title>Line Chart with Custom Tooltips</title>
+  <script src="../Chart.js"></script>
+  <script src="http://cdnjs.cloudflare.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
+  <style>
     #canvas-holder1 {
-        width: 300px;
-        margin: 20px auto;
+      width: 300px;
+      margin: 20px auto;
     }
+
     #canvas-holder2 {
-        width: 50%;
-        margin: 20px 25%;
+      width: 50%;
+      margin: 20px 25%;
     }
+
     #chartjs-tooltip {
-        opacity: 1;
-        position: absolute;
-        background: rgba(0, 0, 0, .7);
-        color: white;
-        padding: 3px;
-        border-radius: 3px;
-        -webkit-transition: all .1s ease;
-        transition: all .1s ease;
-        pointer-events: none;
-        -webkit-transform: translate(-50%, 0);
-        transform: translate(-50%, 0);
+      opacity: 1;
+      position: absolute;
+      background: rgba(0, 0, 0, .7);
+      color: white;
+      border-radius: 3px;
+      -webkit-transition: all .1s ease;
+      transition: all .1s ease;
+      pointer-events: none;
+      -webkit-transform: translate(-50%, 0);
+      transform: translate(-50%, 0);
     }
-   	.chartjs-tooltip-key{
-   		display:inline-block;
-   		width:10px;
-   		height:10px;
-   	}
-    </style>
+
+    .chartjs-tooltip-key {
+      display: inline-block;
+      width: 10px;
+      height: 10px;
+    }
+  </style>
 </head>
 
 <body>
-    <div id="canvas-holder1">
-        <canvas id="chart1" width="300" height="30" />
-    </div>
-    <div id="canvas-holder2">
-        <canvas id="chart2" width="450" height="600" />
-    </div>
-
-    <div id="chartjs-tooltip"></div>
-
-
-    <script>
-
+  <div id="canvas-holder1">
+    <canvas id="chart1" width="300" height="100" />
+  </div>
+  <script>
+    window.count = 0;
     Chart.defaults.global.pointHitDetectionRadius = 1;
-    Chart.defaults.global.customTooltips = function(tooltip) {
+    var customTooltips = function(tooltip) {
 
-        var tooltipEl = $('#chartjs-tooltip');
+      console.log(window.count++, tooltip);
 
-        if (!tooltip) {
-            tooltipEl.css({
-                opacity: 0
-            });
-            return;
-        }
+      // Tooltip Element
+      var tooltipEl = $('#chartjs-tooltip');
 
-        tooltipEl.removeClass('above below');
-        tooltipEl.addClass(tooltip.yAlign);
-
-        var innerHtml = '';
-        for (var i = tooltip.labels.length - 1; i >= 0; i--) {
-        	innerHtml += [
-        		'<div class="chartjs-tooltip-section">',
-        		'	<span class="chartjs-tooltip-key" style="background-color:' + tooltip.legendColors[i].fill + '"></span>',
-        		'	<span class="chartjs-tooltip-value">' + tooltip.labels[i] + '</span>',
-        		'</div>'
-        	].join('');
-        }
-        tooltipEl.html(innerHtml);
+      if (!tooltipEl[0]) {
+        $('body').append('<div id="chartjs-tooltip"></div>');
+        tooltipEl = $('#chartjs-tooltip');
+      }
 
+      // Hide if no tooltip
+      if (!tooltip.opacity) {
         tooltipEl.css({
-            opacity: 1,
-            left: tooltip.chart.canvas.offsetLeft + tooltip.x + 'px',
-            top: tooltip.chart.canvas.offsetTop + tooltip.y + 'px',
-            fontFamily: tooltip.fontFamily,
-            fontSize: tooltip.fontSize,
-            fontStyle: tooltip.fontStyle,
+          opacity: 0
         });
+        $('.chartjs-wrap canvas')
+          .each(function(index, el) {
+            $(el).css('cursor', 'default');
+          });
+        return;
+      }
+
+      $(this._chart.canvas).css('cursor', 'pointer');
+
+      // Set caret Position
+      tooltipEl.removeClass('above below no-transform');
+      if (tooltip.yAlign) {
+        tooltipEl.addClass(tooltip.yAlign);
+      } else {
+        tooltipEl.addClass('no-transform');
+      }
+
+      // Set Text
+      if (tooltip.body) {
+        var innerHtml = [
+          (tooltip.beforeTitle || []).join('\n'), (tooltip.title || []).join('\n'), (tooltip.afterTitle || []).join('\n'), (tooltip.beforeBody || []).join('\n'), (tooltip.body || []).join('\n'), (tooltip.afterBody || []).join('\n'), (tooltip.beforeFooter || [])
+          .join('\n'), (tooltip.footer || []).join('\n'), (tooltip.afterFooter || []).join('\n')
+        ];
+        tooltipEl.html(innerHtml.join('\n'));
+      }
+
+      // Find Y Location on page
+      var top = 0;
+      if (tooltip.yAlign) {
+        if (tooltip.yAlign == 'above') {
+          top = tooltip.y - tooltip.caretHeight - tooltip.caretPadding;
+        } else {
+          top = tooltip.y + tooltip.caretHeight + tooltip.caretPadding;
+        }
+      }
+
+      var offset = $(this._chart.canvas).offset();
+
+      // Display, position, and set styles for font
+      tooltipEl.css({
+        opacity: 1,
+        width: tooltip.width ? (tooltip.width + 'px') : 'auto',
+        left: offset.left + tooltip.x + 'px',
+        top: offset.top + top + 'px',
+        fontFamily: tooltip._fontFamily,
+        fontSize: tooltip.fontSize,
+        fontStyle: tooltip._fontStyle,
+        padding: tooltip.yPadding + 'px ' + tooltip.xPadding + 'px',
+      });
     };
     var randomScalingFactor = function() {
-        return Math.round(Math.random() * 100);
+      return Math.round(Math.random() * 100);
     };
     var lineChartData = {
-        labels: ["January", "February", "March", "April", "May", "June", "July"],
-        datasets: [{
-            label: "My First dataset",
-            fillColor: "rgba(220,220,220,0.2)",
-            strokeColor: "rgba(220,220,220,1)",
-            pointColor: "rgba(220,220,220,1)",
-            pointStrokeColor: "#fff",
-            pointHighlightFill: "#fff",
-            pointHighlightStroke: "rgba(220,220,220,1)",
-            data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()]
-        }, {
-            label: "My Second dataset",
-            fillColor: "rgba(151,187,205,0.2)",
-            strokeColor: "rgba(151,187,205,1)",
-            pointColor: "rgba(151,187,205,1)",
-            pointStrokeColor: "#fff",
-            pointHighlightFill: "#fff",
-            pointHighlightStroke: "rgba(151,187,205,1)",
-            data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()]
-        }]
+      labels: ["January", "February", "March", "April", "May", "June", "July"],
+      datasets: [{
+        label: "My First dataset",
+        data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()]
+      }, {
+        label: "My Second dataset",
+        data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()]
+      }]
     };
 
     window.onload = function() {
-        var ctx1 = document.getElementById("chart1").getContext("2d");
-        window.myLine = new Chart(ctx1).Line(lineChartData, {
-        	showScale: false,
-        	pointDot : true,
-            responsive: true
-        });
-
-        var ctx2 = document.getElementById("chart2").getContext("2d");
-        window.myLine = new Chart(ctx2).Line(lineChartData, {
-            responsive: true
-        });
+      var chartEl = document.getElementById("chart1");
+      window.myLine = new Chart(chartEl, {
+        type: 'line',
+        data: lineChartData,
+        options: {
+          tooltips: {
+            enabled: false,
+            custom: customTooltips
+          }
+        }
+      });
     };
-    </script>
+  </script>
 </body>
 
 </html>

samples/line-legend.html

@@ -0,0 +1,182 @@
+<!doctype html>
+<html>
+
+<head>
+    <title>Line Chart</title>
+    <script src="../Chart.js"></script>
+    <script src="../node_modules/jquery/dist/jquery.min.js"></script>
+    <style>
+        canvas {
+            -webkit-box-shadow: 0 0 20px 0 rgba(0, 0, 0, .5);
+        }
+    </style>
+</head>
+
+<body>
+    <div style="width:100%;">
+        <canvas id="canvas" style="width:100%;height:100%"></canvas>
+    </div>
+    <br>
+    <br>
+    <button id="randomizeData">Randomize Data</button>
+    <button id="addDataset">Add Dataset</button>
+    <button id="removeDataset">Remove Dataset</button>
+    <button id="addData">Add Data</button>
+    <button id="removeData">Remove Data</button>
+    <script>
+        var randomScalingFactor = function() {
+            return Math.round(Math.random() * 100 * (Math.random() > 0.5 ? -1 : 1));
+        };
+        var randomColorFactor = function() {
+            return Math.round(Math.random() * 255);
+        };
+        var randomColor = function(opacity) {
+            return 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',' + (opacity || '.3') + ')';
+        };
+
+        var config = {
+            type: 'line',
+            data: {
+                labels: ["January", "February", "March", "April", "May", "June", "July"],
+                datasets: [{
+                    label: "My First dataset",
+                    data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
+                    fill: false,
+                    borderDash: [5, 5],
+                }, {
+                    label: "My Second dataset",
+                    data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
+                    fill: false,
+                    borderDash: [5, 5],
+                }, {
+                    label: "My Third dataset",
+                    data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
+                    fill: false,
+                }, {
+                    label: "My Fourth dataset",
+                    data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
+                    fill: false,
+                }]
+            },
+            options: {
+                responsive: true,
+                legend: {
+                    position: 'bottom',
+                },
+                hover: {
+                    mode: 'label'
+                },
+                scales: {
+                    xAxes: [{
+                        display: true,
+                        scaleLabel: {
+                            show: true,
+                            labelString: 'Month'
+                        }
+                    }],
+                    yAxes: [{
+                        display: true,
+                        scaleLabel: {
+                            show: true,
+                            labelString: 'Value'
+                        }
+                    }]
+                },
+                title: {
+                    display: true,
+                    text: 'Our 4 Favorite Datasets'
+                }
+            }
+        };
+
+        $.each(config.data.datasets, function(i, dataset) {
+            var background = randomColor(0.5);
+            dataset.borderColor = background;
+            dataset.backgroundColor = background;
+            dataset.pointBorderColor = background;
+            dataset.pointBackgroundColor = background;
+            dataset.pointBorderWidth = 1;
+        });
+
+        console.log(config.data);
+
+        window.onload = function() {
+            var ctx = document.getElementById("canvas").getContext("2d");
+            window.myLine = new Chart(ctx, config);
+
+            updateLegend();
+        };
+
+        function updateLegend() {
+            $legendContainer = $('#legendContainer');
+            $legendContainer.empty();
+            $legendContainer.append(window.myLine.generateLegend());
+        }
+
+        $('#randomizeData').click(function() {
+            $.each(config.data.datasets, function(i, dataset) {
+                dataset.data = dataset.data.map(function() {
+                    return randomScalingFactor();
+                });
+
+            });
+
+            window.myLine.update();
+            updateLegend();
+        });
+
+        $('#addDataset').click(function() {
+            var background = randomColor(0.5);
+            var newDataset = {
+                label: 'Dataset ' + config.data.datasets.length,
+                borderColor: background,
+                backgroundColor: background,
+                pointBorderColor: background,
+                pointBackgroundColor: background,
+                pointBorderWidth: 1,
+                fill: false,
+                data: [],
+            };
+
+            for (var index = 0; index < config.data.labels.length; ++index) {
+                newDataset.data.push(randomScalingFactor());
+            }
+
+            config.data.datasets.push(newDataset);
+            window.myLine.update();
+            updateLegend();
+        });
+
+        $('#addData').click(function() {
+            if (config.data.datasets.length > 0) {
+                config.data.labels.push('dataset #' + config.data.labels.length);
+
+                $.each(config.data.datasets, function(i, dataset) {
+                    dataset.data.push(randomScalingFactor());
+                });
+
+                window.myLine.update();
+                updateLegend();
+            }
+        });
+
+        $('#removeDataset').click(function() {
+            config.data.datasets.splice(0, 1);
+            window.myLine.update();
+            updateLegend();
+        });
+
+        $('#removeData').click(function() {
+            config.data.labels.splice(-1, 1); // remove the label first
+
+            config.data.datasets.forEach(function(dataset, datasetIndex) {
+                dataset.data.pop();
+            });
+
+            window.myLine.update();
+            updateLegend();
+        });
+    </script>
+</body>
+
+</html>

samples/line-logarithmic.html

@@ -0,0 +1,166 @@
+<!doctype html>
+<html>
+
+<head>
+    <title>Line Chart</title>
+    <script src="../Chart.js"></script>
+    <script src="../node_modules/jquery/dist/jquery.min.js"></script>
+    <style>
+    canvas {
+        -webkit-box-shadow: 0 0 20px 0 rgba(0, 0, 0, .5);
+    }
+    </style>
+</head>
+
+<body>
+    <div style="width:50%;">
+        <canvas id="canvas" style="width:100%;height:100%"></canvas>
+    </div>
+    <br>
+    <br>
+    <button id="randomizeData">Randomize Data</button>
+    <button id="addDataset">Add Dataset</button>
+    <button id="removeDataset">Remove Dataset</button>
+    <button id="addData">Add Data</button>
+    <button id="removeData">Remove Data</button>
+    <div>
+        <h3>Legend</h3>
+        <div id="legendContainer">
+            
+        </div>
+    </div>
+    <script>
+    var randomScalingFactor = function() {
+        return Math.ceil(Math.random() * 10.0) * Math.pow(10, Math.ceil(Math.random() * 5));
+    };
+    var randomColorFactor = function() {
+        return Math.round(Math.random() * 255);
+    };
+    var randomColor = function(opacity) {
+        return 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',' + (opacity || '.3') + ')';
+    };
+
+    var config = {
+        type: 'line',
+        data: {
+            labels: ["January", "February", "March", "April", "May", "June", "July"],
+            datasets: [{
+                label: "My First dataset",
+                data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
+                fill: false,
+                borderDash: [5, 5],
+            }, {
+                label: "My Second dataset",
+                data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
+            }]
+        },
+        options: {
+            responsive: true,
+            scales: {
+                xAxes: [{
+                    display: true,
+                    scaleLabel: {
+                        display: true,
+                        labelString: 'x axis'
+                    }
+                }],
+                yAxes: [{
+                    display: true,
+                    type: 'logarithmic',
+                    scaleLabel: {
+                        display: true,
+                        labelString: 'y axis'
+                    }
+                }]
+            }
+        }
+    };
+
+    $.each(config.data.datasets, function(i, dataset) {
+        dataset.borderColor = randomColor(0.4);
+        dataset.backgroundColor = randomColor(0.5);
+        dataset.pointBorderColor = randomColor(0.7);
+        dataset.pointBackgroundColor = randomColor(0.5);
+        dataset.pointBorderWidth = 1;
+    });
+
+    console.log(config.data);
+
+    window.onload = function() {
+        var ctx = document.getElementById("canvas").getContext("2d");
+        window.myLine = new Chart(ctx, config);
+
+        updateLegend();
+    };
+
+    function updateLegend() {
+        $legendContainer = $('#legendContainer');
+        $legendContainer.empty();
+        $legendContainer.append(window.myLine.generateLegend());
+    }
+
+    $('#randomizeData').click(function() {
+        $.each(config.data.datasets, function(i, dataset) {
+            dataset.data = dataset.data.map(function() {
+                return randomScalingFactor();
+            });
+
+        });
+
+        window.myLine.update();
+        updateLegend();
+    });
+
+    $('#addDataset').click(function() {
+        var newDataset = {
+            label: 'Dataset ' + config.data.datasets.length,
+            borderColor: randomColor(0.4),
+            backgroundColor: randomColor(0.5),
+            pointBorderColor: randomColor(0.7),
+            pointBackgroundColor: randomColor(0.5),
+            pointBorderWidth: 1,
+            data: [],
+        };
+
+        for (var index = 0; index < config.data.labels.length; ++index) {
+            newDataset.data.push(randomScalingFactor());
+        }
+
+        config.data.datasets.push(newDataset);
+        window.myLine.update();
+        updateLegend();
+    });
+
+    $('#addData').click(function() {
+        if (config.data.datasets.length > 0) {
+            config.data.labels.push('dataset #' + config.data.labels.length);
+
+            for (var index = 0; index < config.data.datasets.length; ++index) {
+                config.data.datasets[index].data.push(randomScalingFactor());
+            }
+
+            window.myLine.update();
+            updateLegend();
+        }
+    });
+
+    $('#removeDataset').click(function() {
+        config.data.datasets.splice(0, 1);
+        window.myLine.update();
+        updateLegend();
+    });
+
+    $('#removeData').click(function() {
+        config.data.labels.splice(-1, 1); // remove the label first
+
+        config.data.datasets.forEach(function(dataset, datasetIndex) {
+            dataset.data.pop();
+        });
+
+        window.myLine.update();
+        updateLegend();
+    });
+    </script>
+</body>
+
+</html>

samples/line-multi-axis.html

@@ -0,0 +1,92 @@
+<!doctype html>
+<html>
+
+<head>
+    <title>Line Chart Multiple Axes</title>
+    <script src="../Chart.js"></script>
+    <script src="../node_modules/jquery/dist/jquery.min.js"></script>
+</head>
+
+<body>
+    <div style="width:50%;">
+        <canvas id="canvas" style="width:100%;height:100%"></canvas>
+    </div>
+    <button id="randomizeData">Randomize Data</button>
+    <script>
+    var randomScalingFactor = function() {
+        return Math.round(Math.random() * 100 * (Math.random() > 0.5 ? -1 : 1));
+    };
+    var randomColor = function(opacity) {
+        return 'rgba(' + Math.round(Math.random() * 255) + ',' + Math.round(Math.random() * 255) + ',' + Math.round(Math.random() * 255) + ',' + (opacity || '.3') + ')';
+    };
+
+    var lineChartData = {
+        labels: ["January", "February", "March", "April", "May", "June", "July"],
+        datasets: [{
+            label: "My First dataset",
+            data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
+            yAxisID: "y-axis-1",
+        }, {
+            label: "My Second dataset",
+            data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
+            yAxisID: "y-axis-2"
+        }]
+    };
+
+    $.each(lineChartData.datasets, function(i, dataset) {
+        dataset.borderColor = randomColor(0.4);
+        dataset.backgroundColor = randomColor(1);
+        dataset.pointBorderColor = randomColor(0.7);
+        dataset.pointBackgroundColor = randomColor(0.5);
+        dataset.pointBorderWidth = 1;
+    });
+
+    console.log(lineChartData);
+
+    window.onload = function() {
+        var ctx = document.getElementById("canvas").getContext("2d");
+        window.myLine = Chart.Line(ctx, {
+            data: lineChartData,
+            options: {
+                responsive: true,
+                hoverMode: 'label',
+                stacked: false,
+                scales: {
+                    xAxes: [{
+                        display: true,
+                        gridLines: {
+                            offsetGridLines: false
+                        }
+                    }],
+                    yAxes: [{
+                        type: "linear", // only linear but allow scale type registration. This allows extensions to exist solely for log scale for instance
+                        display: true,
+                        position: "left",
+                        id: "y-axis-1",
+                    }, {
+                        type: "linear", // only linear but allow scale type registration. This allows extensions to exist solely for log scale for instance
+                        display: true,
+                        position: "right",
+                        id: "y-axis-2",
+
+                        // grid line settings
+                        gridLines: {
+                            drawOnChartArea: false, // only want the grid lines for one axis to show up
+                        },
+                    }],
+                }
+            }
+        });
+    };
+
+    $('#randomizeData').click(function() {
+        lineChartData.datasets[0].data = [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()];
+
+        lineChartData.datasets[1].data = [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()];
+
+        window.myLine.update();
+    });
+    </script>
+</body>
+
+</html>

samples/line-skip-points.html

@@ -0,0 +1,175 @@
+<!doctype html>
+<html>
+
+<head>
+    <title>Line Chart</title>
+    <script src="../Chart.js"></script>
+    <script src="../node_modules/jquery/dist/jquery.min.js"></script>
+    <style>
+        canvas {
+            -webkit-box-shadow: 0 0 20px 0 rgba(0, 0, 0, .5);
+        }
+    </style>
+</head>
+
+<body>
+    <div style="width:100%;">
+        <canvas id="canvas" style="width:100%;height:100%"></canvas>
+    </div>
+    <br>
+    <br>
+    <button id="randomizeData">Randomize Data</button>
+    <button id="addDataset">Add Dataset</button>
+    <button id="removeDataset">Remove Dataset</button>
+    <button id="addData">Add Data</button>
+    <button id="removeData">Remove Data</button>
+    <div>
+        <h3>Legend</h3>
+        <div id="legendContainer">
+        </div>
+    </div>
+    <script>
+        var randomScalingFactor = function() {
+            return Math.round(Math.random() * 100);
+            //return 0;
+        };
+        var randomColorFactor = function() {
+            return Math.round(Math.random() * 255);
+        };
+        var randomColor = function(opacity) {
+            return 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',' + (opacity || '.3') + ')';
+        };
+
+        var config = {
+            type: 'line',
+            data: {
+                labels: ["January", "February", "March", "April", "May", "June", "July"],
+                datasets: [{
+                    label: "My First dataset",
+
+                    // Skip a point in the middle
+                    data: [randomScalingFactor(), randomScalingFactor(), NaN, randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
+                    fill: true,
+                    borderDash: [5, 5],
+                }, {
+                    label: "My Second dataset",
+
+                    // Skip first and last points
+                    data: [NaN, randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), NaN],
+                }]
+            },
+            options: {
+                responsive: true,
+                tooltips: {
+                    mode: 'label',
+                },
+                hover: {
+                    mode: 'label'
+                },
+                scales: {
+                    xAxes: [{
+                        display: true,
+                        scaleLabel: {
+                            display: true,
+                            labelString: 'Month'
+                        }
+                    }],
+                    yAxes: [{
+                        display: true,
+                        scaleLabel: {
+                            display: true,
+                            labelString: 'Value'
+                        },
+                    }]
+                }
+            }
+        };
+
+        $.each(config.data.datasets, function(i, dataset) {
+            dataset.borderColor = randomColor(0.4);
+            dataset.backgroundColor = randomColor(0.5);
+            dataset.pointBorderColor = randomColor(0.7);
+            dataset.pointBackgroundColor = randomColor(0.5);
+            dataset.pointBorderWidth = 1;
+        });
+
+        console.log(config.data);
+
+        window.onload = function() {
+            var ctx = document.getElementById("canvas").getContext("2d");
+            window.myLine = new Chart(ctx, config);
+
+            updateLegend();
+        };
+
+        function updateLegend() {
+            $legendContainer = $('#legendContainer');
+            $legendContainer.empty();
+            $legendContainer.append(window.myLine.generateLegend());
+        }
+
+        $('#randomizeData').click(function() {
+            $.each(config.data.datasets, function(i, dataset) {
+                dataset.data = dataset.data.map(function() {
+                    return randomScalingFactor();
+                });
+
+            });
+
+            window.myLine.update();
+            updateLegend();
+        });
+
+        $('#addDataset').click(function() {
+            var newDataset = {
+                label: 'Dataset ' + config.data.datasets.length,
+                borderColor: randomColor(0.4),
+                backgroundColor: randomColor(0.5),
+                pointBorderColor: randomColor(0.7),
+                pointBackgroundColor: randomColor(0.5),
+                pointBorderWidth: 1,
+                data: [],
+            };
+
+            for (var index = 0; index < config.data.labels.length; ++index) {
+                newDataset.data.push(randomScalingFactor());
+            }
+
+            config.data.datasets.push(newDataset);
+            window.myLine.update();
+            updateLegend();
+        });
+
+        $('#addData').click(function() {
+            if (config.data.datasets.length > 0) {
+                config.data.labels.push('dataset #' + config.data.labels.length);
+
+                $.each(config.data.datasets, function(i, dataset) {
+                    dataset.data.push(randomScalingFactor());
+                });
+
+                window.myLine.update();
+                updateLegend();
+            }
+        });
+
+        $('#removeDataset').click(function() {
+            config.data.datasets.splice(0, 1);
+            window.myLine.update();
+            updateLegend();
+        });
+
+        $('#removeData').click(function() {
+            config.data.labels.splice(-1, 1); // remove the label first
+
+            config.data.datasets.forEach(function(dataset, datasetIndex) {
+                dataset.data.pop();
+            });
+
+            window.myLine.update();
+            updateLegend();
+        });
+    </script>
+</body>
+
+</html>

samples/line-stacked-area.html

@@ -0,0 +1,174 @@
+<!doctype html>
+<html>
+
+<head>
+  <title>Line Chart</title>
+  <script src="../Chart.js"></script>
+  <script src="../node_modules/jquery/dist/jquery.min.js"></script>
+  <style>
+    canvas {
+      -webkit-box-shadow: 0 0 20px 0 rgba(0, 0, 0, .5);
+    }
+  </style>
+</head>
+
+<body>
+  <div style="width:100%;">
+    <canvas id="canvas" style="width:100%;height:100%"></canvas>
+  </div>
+  <br>
+  <br>
+  <button id="randomizeData">Randomize Data</button>
+  <button id="addDataset">Add Dataset</button>
+  <button id="removeDataset">Remove Dataset</button>
+  <button id="addData">Add Data</button>
+  <button id="removeData">Remove Data</button>
+  <div>
+    <h3>Legend</h3>
+    <div id="legendContainer">
+    </div>
+  </div>
+  <script>
+    var randomScalingFactor = function() {
+      return Math.round(Math.random() * 100 * (Math.random() > 0.5 ? -1 : 1));
+    };
+    var randomColorFactor = function() {
+      return Math.round(Math.random() * 255);
+    };
+    var randomColor = function(opacity) {
+      return 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',' + (opacity || '1') + ')';
+    };
+
+    var config = {
+      type: 'line',
+      data: {
+        labels: ["January", "February", "March", "April", "May", "June", "July"],
+        datasets: [{
+          label: "My First dataset",
+          data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
+        }, {
+          label: "My Second dataset",
+          data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
+        }, {
+          label: "My Third dataset",
+          data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
+        }, {
+          label: "My Third dataset",
+          data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
+        }]
+      },
+      options: {
+        responsive: true,
+        tooltips: {
+          mode: 'label',
+        },
+        hover: {
+          mode: 'label'
+        },
+        scales: {
+          xAxes: [{
+            scaleLabel: {
+              display: true,
+              labelString: 'Month'
+            }
+          }],
+          yAxes: [{
+            stacked: true,
+            scaleLabel: {
+              display: true,
+              labelString: 'Value'
+            }
+          }]
+        }
+      }
+    };
+
+    $.each(config.data.datasets, function(i, dataset) {
+      var color = randomColor(1);
+      dataset.borderColor = color;
+      dataset.backgroundColor = color;
+      dataset.pointBorderColor = color;
+      dataset.pointBackgroundColor = color;
+      dataset.pointBorderWidth = 1;
+    });
+
+    console.log(config.data);
+
+    window.onload = function() {
+      var ctx = document.getElementById("canvas").getContext("2d");
+      window.myLine = new Chart(ctx, config);
+
+      updateLegend();
+    };
+
+    function updateLegend() {
+      $legendContainer = $('#legendContainer');
+      $legendContainer.empty();
+      $legendContainer.append(window.myLine.generateLegend());
+    }
+
+    $('#randomizeData').click(function() {
+      $.each(config.data.datasets, function(i, dataset) {
+        dataset.data = dataset.data.map(function() {
+          return randomScalingFactor();
+        });
+
+      });
+
+      window.myLine.update();
+      updateLegend();
+    });
+
+    $('#addDataset').click(function() {
+      var newDataset = {
+        label: 'Dataset ' + config.data.datasets.length,
+        borderColor: randomColor(0.4),
+        backgroundColor: randomColor(0.5),
+        pointBorderColor: randomColor(0.7),
+        pointBackgroundColor: randomColor(0.5),
+        pointBorderWidth: 1,
+        data: [],
+      };
+
+      for (var index = 0; index < config.data.labels.length; ++index) {
+        newDataset.data.push(randomScalingFactor());
+      }
+
+      config.data.datasets.push(newDataset);
+      window.myLine.update();
+      updateLegend();
+    });
+
+    $('#addData').click(function() {
+      if (config.data.datasets.length > 0) {
+        config.data.labels.push('dataset #' + config.data.labels.length);
+
+        $.each(config.data.datasets, function(i, dataset) {
+          dataset.data.push(randomScalingFactor());
+        });
+
+        window.myLine.update();
+        updateLegend();
+      }
+    });
+
+    $('#removeDataset').click(function() {
+      config.data.datasets.splice(0, 1);
+      window.myLine.update();
+      updateLegend();
+    });
+
+    $('#removeData').click(function() {
+      config.data.labels.splice(-1, 1); // remove the label first
+
+      config.data.datasets.forEach(function(dataset, datasetIndex) {
+        dataset.data.pop();
+      });
+
+      window.myLine.update();
+      updateLegend();
+    });
+  </script>
+</body>
+
+</html>

samples/line-x-axis-filter.html

@@ -0,0 +1,144 @@
+<!doctype html>
+<html>
+
+<head>
+    <title>Chart with xAxis Filtering</title>
+    <script src="../Chart.js"></script>
+    <script src="../node_modules/jquery/dist/jquery.min.js"></script>
+    <style>
+        canvas {
+            -webkit-box-shadow: 0 0 20px 0 rgba(0, 0, 0, .5);
+        }
+    </style>
+</head>
+
+<body>
+    <div style="width:50%;">
+        <canvas id="canvas" style="width:100%;height:100%"></canvas>
+    </div>
+    <br>
+    <br>
+    <button id="randomizeData">Randomize Data</button>
+    <button id="addDataset">Add Dataset</button>
+    <button id="removeDataset">Remove Dataset</button>
+    <button id="addData">Add Data</button>
+    <button id="removeData">Remove Data</button>
+    <script>
+        var randomScalingFactor = function() {
+            return Math.round(Math.random() * 50 * (Math.random() > 0.5 ? 1 : 1)) + 50;
+        };
+        var randomColorFactor = function() {
+            return Math.round(Math.random() * 255);
+        };
+        var randomColor = function(opacity) {
+            return 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',' + (opacity || '.3') + ')';
+        };
+
+        var config = {
+            type: 'line',
+            data: {
+                labels: ["January is a long month", "February", "March", "April", "May", "June", "July"],
+                datasets: [{
+                    label: "My First dataset",
+                    data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
+                    fill: false,
+                    borderDash: [5, 5],
+                }, {
+                    label: "My Second dataset",
+                    data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
+                }]
+            },
+            options: {
+                responsive: true,
+                scales: {
+                    xAxes: [{
+                        display: true,
+                        ticks: {
+                            userCallback: function(dataLabel, index) {
+                                return index % 2 === 0 ? dataLabel : '';
+                            }
+                        }
+                    }],
+                    yAxes: [{
+                        display: true,
+                        beginAtZero: false
+                    }]
+                }
+            }
+        };
+
+        $.each(config.data.datasets, function(i, dataset) {
+            dataset.borderColor = randomColor(0.4);
+            dataset.backgroundColor = randomColor(0.5);
+            dataset.pointBorderColor = randomColor(0.7);
+            dataset.pointBackgroundColor = randomColor(0.5);
+            dataset.pointBorderWidth = 1;
+        });
+
+        console.log(config.data);
+
+        window.onload = function() {
+            var ctx = document.getElementById("canvas").getContext("2d");
+            window.myLine = new Chart(ctx, config);
+        };
+
+        $('#randomizeData').click(function() {
+            $.each(config.data.datasets, function(i, dataset) {
+                dataset.data = dataset.data.map(function() {
+                    return randomScalingFactor();
+                });
+
+            });
+
+            window.myLine.update();
+        });
+
+        $('#addDataset').click(function() {
+            var newDataset = {
+                label: 'Dataset ' + config.data.datasets.length,
+                borderColor: randomColor(0.4),
+                backgroundColor: randomColor(0.5),
+                pointBorderColor: randomColor(0.7),
+                pointBackgroundColor: randomColor(0.5),
+                pointBorderWidth: 1,
+                data: [],
+            };
+
+            for (var index = 0; index < config.data.labels.length; ++index) {
+                newDataset.data.push(randomScalingFactor());
+            }
+
+            config.data.datasets.push(newDataset);
+            window.myLine.update();
+        });
+
+        $('#addData').click(function() {
+            if (config.data.datasets.length > 0) {
+                config.data.labels.push('dataset #' + config.data.labels.length);
+
+                for (var index = 0; index < config.data.datasets.length; ++index) {
+                    config.data.datasets[index].data.push(randomScalingFactor());
+                }
+
+                window.myLine.update();
+            }
+        });
+
+        $('#removeDataset').click(function() {
+            config.data.datasets.splice(0, 1);
+            window.myLine.update();
+        });
+
+        $('#removeData').click(function() {
+            config.data.labels.splice(-1, 1); // remove the label first
+
+            config.data.datasets.forEach(function(dataset, datasetIndex) {
+                dataset.data.pop();
+            });
+
+            window.myLine.update();
+        });
+    </script>
+</body>
+
+</html>

samples/line.html

@@ -1,68 +1,229 @@
 <!doctype html>
 <html>
-	<head>
-		<title>Line Chart</title>
-		<script src="../Chart.js"></script>
-		<script src="http://cdnjs.cloudflare.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
-	</head>
-	<body>
-		<div style="width:30%">
-			<div>
-				<canvas id="canvas" height="450" width="600"></canvas>
-			</div>
-		</div>
-		<button id="randomizeData">Randomize Data</button>
 
+<head>
+    <title>Line Chart</title>
+    <script src="../Chart.js"></script>
+    <script src="../node_modules/jquery/dist/jquery.min.js"></script>
+    <style>
+        canvas {
+            -webkit-box-shadow: 0 0 20px 0 rgba(0, 0, 0, .5);
+        }
+    </style>
+</head>
 
-	<script>
-		var randomScalingFactor = function(){ return Math.round(Math.random()*100)};
-		var randomColorFactor = function(){ return Math.round(Math.random()*255)};
+<body>
+    <div style="width:100%;">
+        <canvas id="canvas" style="width:100%;height:100%"></canvas>
+    </div>
+    <br>
+    <br>
+    <button id="randomizeData">Randomize Data</button>
+    <button id="changeDataObject">Change Data Object</button>
+    <button id="addDataset">Add Dataset</button>
+    <button id="removeDataset">Remove Dataset</button>
+    <button id="addData">Add Data</button>
+    <button id="removeData">Remove Data</button>
+    <div>
+        <h3>Legend</h3>
+        <div id="legendContainer">
+        </div>
+    </div>
+    <script>
+        var randomScalingFactor = function() {
+            return Math.round(Math.random() * 100);
+            //return 0;
+        };
+        var randomColorFactor = function() {
+            return Math.round(Math.random() * 255);
+        };
+        var randomColor = function(opacity) {
+            return 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',' + (opacity || '.3') + ')';
+        };
 
-		var lineChartData = {
-			labels : ["January","February","March","April","May","June","July"],
-			datasets : [
-				{
-					label: "My First dataset",
-					fillColor : "rgba(220,220,220,0.2)",
-					strokeColor : "rgba(220,220,220,1)",
-					pointColor : "rgba(220,220,220,1)",
-					pointStrokeColor : "#fff",
-					pointHighlightFill : "#fff",
-					pointHighlightStroke : "rgba(220,220,220,1)",
-					data : [randomScalingFactor(),randomScalingFactor(),randomScalingFactor(),randomScalingFactor(),randomScalingFactor(),randomScalingFactor(),randomScalingFactor()]
-				},
-				{
-					label: "My Second dataset",
-					fillColor : "rgba(151,187,205,0.2)",
-					strokeColor : "rgba(151,187,205,1)",
-					pointColor : "rgba(151,187,205,1)",
-					pointStrokeColor : "#fff",
-					pointHighlightFill : "#fff",
-					pointHighlightStroke : "rgba(151,187,205,1)",
-					data : [randomScalingFactor(),randomScalingFactor(),randomScalingFactor(),randomScalingFactor(),randomScalingFactor(),randomScalingFactor(),randomScalingFactor()]
-				}
-			]
+        var config = {
+            type: 'line',
+            data: {
+                labels: ["January", "February", "March", "April", "May", "June", "July"],
+                datasets: [{
+                    label: "My First dataset",
+                    data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
+                    fill: false,
+                    borderDash: [5, 5],
+                }, {
+                    hidden: true,
+                    label: 'hidden dataset',
+                    data: [],
+                }, {
+                    label: "My Second dataset",
+                    data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
+                }]
+            },
+            options: {
+                responsive: true,
+                tooltips: {
+                    mode: 'label',
+                    callbacks: {
+                        // beforeTitle: function() {
+                        //     return '...beforeTitle';
+                        // },
+                        // afterTitle: function() {
+                        //     return '...afterTitle';
+                        // },
+                        // beforeBody: function() {
+                        //     return '...beforeBody';
+                        // },
+                        // afterBody: function() {
+                        //     return '...afterBody';
+                        // },
+                        // beforeFooter: function() {
+                        //     return '...beforeFooter';
+                        // },
+                        // footer: function() {
+                        //     return 'Footer';
+                        // },
+                        // afterFooter: function() {
+                        //     return '...afterFooter';
+                        // },
+                    }
+                },
+                hover: {
+                    mode: 'dataset'
+                },
+                scales: {
+                    xAxes: [{
+                        display: true,
+                        scaleLabel: {
+                            show: true,
+                            labelString: 'Month'
+                        }
+                    }],
+                    yAxes: [{
+                        display: true,
+                        scaleLabel: {
+                            show: true,
+                            labelString: 'Value'
+                        },
+                        ticks: {
+                            suggestedMin: -10,
+                            suggestedMax: 250,
+                        }
+                    }]
+                }
+            }
+        };
 
-		}
+        $.each(config.data.datasets, function(i, dataset) {
+            dataset.borderColor = randomColor(0.4);
+            dataset.backgroundColor = randomColor(0.5);
+            dataset.pointBorderColor = randomColor(0.7);
+            dataset.pointBackgroundColor = randomColor(0.5);
+            dataset.pointBorderWidth = 1;
+        });
 
-	window.onload = function(){
-		var ctx = document.getElementById("canvas").getContext("2d");
-		window.myLine = new Chart(ctx).Line(lineChartData, {
-			responsive: true
-		});
-	}
+        console.log(config.data);
 
-	$('#randomizeData').click(function(){
-    	lineChartData.datasets[0].fillColor = 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',.3)';
-    	lineChartData.datasets[0].data = [randomScalingFactor(),randomScalingFactor(),randomScalingFactor(),randomScalingFactor(),randomScalingFactor(),randomScalingFactor(),randomScalingFactor()];
+        window.onload = function() {
+            var ctx = document.getElementById("canvas").getContext("2d");
+            window.myLine = new Chart(ctx, config);
 
-    	lineChartData.datasets[1].fillColor = 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',.3)';
-    	lineChartData.datasets[1].data = [randomScalingFactor(),randomScalingFactor(),randomScalingFactor(),randomScalingFactor(),randomScalingFactor(),randomScalingFactor(),randomScalingFactor()];
+            updateLegend();
+        };
 
-    	window.myLine.update();
-    });
+        function updateLegend() {
+            $legendContainer = $('#legendContainer');
+            $legendContainer.empty();
+            $legendContainer.append(window.myLine.generateLegend());
+        }
 
+        $('#randomizeData').click(function() {
+            $.each(config.data.datasets, function(i, dataset) {
+                dataset.data = dataset.data.map(function() {
+                    return randomScalingFactor();
+                });
+
+            });
+
+            window.myLine.update();
+            updateLegend();
+        });
+
+        $('#changeDataObject').click(function() {
+            config.data = {
+                labels: ["July", "August", "September", "October", "November", "December"],
+                datasets: [{
+                    label: "My First dataset",
+                    data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
+                    fill: false,
+                }, {
+                    label: "My Second dataset",
+                    fill: false,
+                    data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
+                }]
+            };
+
+            $.each(config.data.datasets, function(i, dataset) {
+                dataset.borderColor = randomColor(0.4);
+                dataset.backgroundColor = randomColor(0.5);
+                dataset.pointBorderColor = randomColor(0.7);
+                dataset.pointBackgroundColor = randomColor(0.5);
+                dataset.pointBorderWidth = 1;
+            });
+
+            // Update the chart
+            window.myLine.update();
+        });
+
+        $('#addDataset').click(function() {
+            var newDataset = {
+                label: 'Dataset ' + config.data.datasets.length,
+                borderColor: randomColor(0.4),
+                backgroundColor: randomColor(0.5),
+                pointBorderColor: randomColor(0.7),
+                pointBackgroundColor: randomColor(0.5),
+                pointBorderWidth: 1,
+                data: [],
+            };
+
+            for (var index = 0; index < config.data.labels.length; ++index) {
+                newDataset.data.push(randomScalingFactor());
+            }
+
+            config.data.datasets.push(newDataset);
+            window.myLine.update();
+            updateLegend();
+        });
+
+        $('#addData').click(function() {
+            if (config.data.datasets.length > 0) {
+                config.data.labels.push('dataset #' + config.data.labels.length);
+
+                $.each(config.data.datasets, function(i, dataset) {
+                    dataset.data.push(randomScalingFactor());
+                });
+
+                window.myLine.update();
+                updateLegend();
+            }
+        });
+
+        $('#removeDataset').click(function() {
+            config.data.datasets.splice(0, 1);
+            window.myLine.update();
+            updateLegend();
+        });
+
+        $('#removeData').click(function() {
+            config.data.labels.splice(-1, 1); // remove the label first
+
+            config.data.datasets.forEach(function(dataset, datasetIndex) {
+                dataset.data.pop();
+            });
+
+            window.myLine.update();
+            updateLegend();
+        });
+    </script>
+</body>
 
-	</script>
-	</body>
 </html>

samples/pie-customTooltips.html

@@ -1,156 +0,0 @@
-<!doctype html>
-<html>
-
-<head>
-    <title>Pie Chart with Custom Tooltips</title>
-    <script src="../Chart.js"></script>
-    <script src="http://cdnjs.cloudflare.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
-
-    <style>
-    #canvas-holder {
-        width: 100%;
-        margin-top: 50px;
-        text-align: center;
-    }
-    #chartjs-tooltip {
-        opacity: 1;
-        position: absolute;
-        background: rgba(0, 0, 0, .7);
-        color: white;
-        padding: 3px;
-        border-radius: 3px;
-        -webkit-transition: all .1s ease;
-        transition: all .1s ease;
-        pointer-events: none;
-        -webkit-transform: translate(-50%, 0);
-        transform: translate(-50%, 0);
-    }
-    #chartjs-tooltip.below {
-        -webkit-transform: translate(-50%, 0);
-        transform: translate(-50%, 0);
-    }
-    #chartjs-tooltip.below:before {
-        border: solid;
-        border-color: #111 transparent;
-        border-color: rgba(0, 0, 0, .8) transparent;
-        border-width: 0 8px 8px 8px;
-        bottom: 1em;
-        content: "";
-        display: block;
-        left: 50%;
-        position: absolute;
-        z-index: 99;
-        -webkit-transform: translate(-50%, -100%);
-        transform: translate(-50%, -100%);
-    }
-    #chartjs-tooltip.above {
-        -webkit-transform: translate(-50%, -100%);
-        transform: translate(-50%, -100%);
-    }
-    #chartjs-tooltip.above:before {
-        border: solid;
-        border-color: #111 transparent;
-        border-color: rgba(0, 0, 0, .8) transparent;
-        border-width: 8px 8px 0 8px;
-        bottom: 1em;
-        content: "";
-        display: block;
-        left: 50%;
-        top: 100%;
-        position: absolute;
-        z-index: 99;
-        -webkit-transform: translate(-50%, 0);
-        transform: translate(-50%, 0);
-    }
-    </style>
-</head>
-
-<body>
-    <div id="canvas-holder">
-        <canvas id="chart-area1" width="50" height="50" />
-    </div>
-    <div id="canvas-holder">
-        <canvas id="chart-area2" width="300" height="300" />
-    </div>
-
-    <div id="chartjs-tooltip"></div>
-
-
-    <script>
-    Chart.defaults.global.customTooltips = function(tooltip) {
-
-    	// Tooltip Element
-        var tooltipEl = $('#chartjs-tooltip');
-
-        // Hide if no tooltip
-        if (!tooltip) {
-            tooltipEl.css({
-                opacity: 0
-            });
-            return;
-        }
-
-        // Set caret Position
-        tooltipEl.removeClass('above below');
-        tooltipEl.addClass(tooltip.yAlign);
-
-        // Set Text
-        tooltipEl.html(tooltip.text);
-
-        // Find Y Location on page
-        var top;
-        if (tooltip.yAlign == 'above') {
-            top = tooltip.y - tooltip.caretHeight - tooltip.caretPadding;
-        } else {
-            top = tooltip.y + tooltip.caretHeight + tooltip.caretPadding;
-        }
-
-        // Display, position, and set styles for font
-        tooltipEl.css({
-            opacity: 1,
-            left: tooltip.chart.canvas.offsetLeft + tooltip.x + 'px',
-            top: tooltip.chart.canvas.offsetTop + top + 'px',
-            fontFamily: tooltip.fontFamily,
-            fontSize: tooltip.fontSize,
-            fontStyle: tooltip.fontStyle,
-        });
-    };
-
-    var pieData = [{
-        value: 300,
-        color: "#F7464A",
-        highlight: "#FF5A5E",
-        label: "Red"
-    }, {
-        value: 50,
-        color: "#46BFBD",
-        highlight: "#5AD3D1",
-        label: "Green"
-    }, {
-        value: 100,
-        color: "#FDB45C",
-        highlight: "#FFC870",
-        label: "Yellow"
-    }, {
-        value: 40,
-        color: "#949FB1",
-        highlight: "#A8B3C5",
-        label: "Grey"
-    }, {
-        value: 120,
-        color: "#4D5360",
-        highlight: "#616774",
-        label: "Dark Grey"
-    }];
-
-    window.onload = function() {
-        var ctx1 = document.getElementById("chart-area1").getContext("2d");
-        window.myPie = new Chart(ctx1).Pie(pieData);
-
-        var ctx2 = document.getElementById("chart-area2").getContext("2d");
-        window.myPie = new Chart(ctx2).Pie(pieData);
-    };
-    </script>
-</body>
-
-</html>

samples/pie.html

@@ -1,70 +1,122 @@
 <!doctype html>
 <html>
-	<head>
-		<title>Pie Chart</title>
-		<script src="../Chart.js"></script>
-		<script src="http://cdnjs.cloudflare.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
-	</head>
-	<body>
-		<div id="canvas-holder">
-			<canvas id="chart-area" width="300" height="300"/>
-		</div>
-		<button id="randomizeData">Randomize Data</button>
 
-	<script>
+<head>
+    <title>Pie Chart</title>
+    <script src="../Chart.js"></script>
+    <script src="http://cdnjs.cloudflare.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
+</head>
 
-		var randomScalingFactor = function(){ return Math.round(Math.random()*100)};
-		var randomColorFactor = function(){ return Math.round(Math.random()*255)};
+<body>
+    <div id="canvas-holder" style="width:50%">
+        <canvas id="chart-area" width="300" height="300" />
+    </div>
+    <button id="randomizeData">Randomize Data</button>
+    <button id="addDataset">Add Dataset</button>
+    <button id="removeDataset">Remove Dataset</button>
+    <script>
+    var randomScalingFactor = function() {
+        return Math.round(Math.random() * 100);
+    };
+    var randomColorFactor = function() {
+        return Math.round(Math.random() * 255);
+    };
+    var randomColor = function(opacity) {
+        return 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',' + (opacity || '.3') + ')';
+    };
 
-		var pieData = [
-				{
-					value: randomScalingFactor(),
-					color:"#F7464A",
-					highlight: "#FF5A5E",
-					label: "Red"
-				},
-				{
-					value: randomScalingFactor(),
-					color: "#46BFBD",
-					highlight: "#5AD3D1",
-					label: "Green"
-				},
-				{
-					value: randomScalingFactor(),
-					color: "#FDB45C",
-					highlight: "#FFC870",
-					label: "Yellow"
-				},
-				{
-					value: randomScalingFactor(),
-					color: "#949FB1",
-					highlight: "#A8B3C5",
-					label: "Grey"
-				},
-				{
-					value: randomScalingFactor(),
-					color: "#4D5360",
-					highlight: "#616774",
-					label: "Dark Grey"
-				}
+    var config = {
+        type: 'pie',
+        data: {
+            datasets: [{
+                data: [
+                    randomScalingFactor(),
+                    randomScalingFactor(),
+                    randomScalingFactor(),
+                    randomScalingFactor(),
+                    randomScalingFactor(),
+                ],
+                backgroundColor: [
+                    "#F7464A",
+                    "#46BFBD",
+                    "#FDB45C",
+                    "#949FB1",
+                    "#4D5360",
+                ],
+            }, {
+                data: [
+                    randomScalingFactor(),
+                    randomScalingFactor(),
+                    randomScalingFactor(),
+                    randomScalingFactor(),
+                    randomScalingFactor(),
+                ],
+                backgroundColor: [
+                    "#F7464A",
+                    "#46BFBD",
+                    "#FDB45C",
+                    "#949FB1",
+                    "#4D5360",
+                ],
+            }, {
+                data: [
+                    randomScalingFactor(),
+                    randomScalingFactor(),
+                    randomScalingFactor(),
+                    randomScalingFactor(),
+                    randomScalingFactor(),
+                ],
+                backgroundColor: [
+                    "#F7464A",
+                    "#46BFBD",
+                    "#FDB45C",
+                    "#949FB1",
+                    "#4D5360",
+                ],
+            }],
+            labels: [
+                "Red",
+                "Green",
+                "Yellow",
+                "Grey",
+                "Dark Grey"
+            ]
+        },
+        options: {
+            responsive: true
+        }
+    };
 
-			];
+    window.onload = function() {
+        var ctx = document.getElementById("chart-area").getContext("2d");
+        window.myPie = new Chart(ctx, config);
+    };
 
-			window.onload = function(){
-				var ctx = document.getElementById("chart-area").getContext("2d");
-				window.myPie = new Chart(ctx).Pie(pieData);
-			};
+    $('#randomizeData').click(function() {
+        $.each(config.data.datasets, function(i, piece) {
+            $.each(piece.data, function(j, value) {
+                config.data.datasets[i].data[j] = randomScalingFactor();
+                //config.data.datasets.backgroundColor[i] = 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',.7)';
+            });
+        });
+        window.myPie.update();
+    });
 
-			$('#randomizeData').click(function(){
-				$.each(pieData, function(i, piece){
-					pieData[i].value = randomScalingFactor();
-			    	pieData[i].color = 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',.7)';
-				});
-		    	window.myPie.update();
-		    });
+    $('#addDataset').click(function() {
+        var newDataset = {
+            backgroundColor: [randomColor(0.7), randomColor(0.7), randomColor(0.7), randomColor(0.7), randomColor(0.7)],
+            data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()]
+        };
 
+        config.data.datasets.push(newDataset);
+        window.myPie.update();
+    });
 
+    $('#removeDataset').click(function() {
+        config.data.datasets.splice(0, 1);
+        window.myPie.update();
+    });
+    </script>
+</body>
 
-	</script>
-	</body>
 </html>

samples/polar-area.html

@@ -1,73 +1,131 @@
 <!doctype html>
 <html>
-	<head>
-		<title>Polar Area Chart</title>
-		<script src="../Chart.js"></script>
-		<script src="http://cdnjs.cloudflare.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
-	</head>
-	<body>
-		<div id="canvas-holder" style="width:30%">
-			<canvas id="chart-area" width="300" height="300"/>
-		</div>
-		<button id="randomizeData">Randomize Data</button>
 
+<head>
+    <title>Polar Area Chart</title>
+    <script src="../Chart.js"></script>
+    <script src="http://cdnjs.cloudflare.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
+</head>
 
-	<script>
+<body>
+    <div id="canvas-holder" style="width:100%">
+        <canvas id="chart-area"></canvas>
+    </div>
+    <button id="randomizeData">Randomize Data</button>
+    <button id="addData">Add Data</button>
+    <button id="removeData">Remove Data</button>
+    <div>
+        <h3>Legend</h3>
+        <div id="legendContainer">
 
-		var randomScalingFactor = function(){ return Math.round(Math.random()*100)};
-		var randomColorFactor = function(){ return Math.round(Math.random()*255)};
+        </div>
+    </div>
+    <script>
+    var randomScalingFactor = function() {
+        return Math.round(Math.random() * 100);
+    };
+    var randomColorFactor = function() {
+        return Math.round(Math.random() * 255);
+    };
+    var randomColor = function(opacity) {
+        return 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',' + (opacity || '.3') + ')';
+    };
 
-		var polarData = [
-				{
-					value: randomScalingFactor(),
-					color:"#F7464A",
-					highlight: "#FF5A5E",
-					label: "Red"
-				},
-				{
-					value: randomScalingFactor(),
-					color: "#46BFBD",
-					highlight: "#5AD3D1",
-					label: "Green"
-				},
-				{
-					value: randomScalingFactor(),
-					color: "#FDB45C",
-					highlight: "#FFC870",
-					label: "Yellow"
-				},
-				{
-					value: randomScalingFactor(),
-					color: "#949FB1",
-					highlight: "#A8B3C5",
-					label: "Grey"
-				},
-				{
-					value: randomScalingFactor(),
-					color: "#4D5360",
-					highlight: "#616774",
-					label: "Dark Grey"
-				}
+    var config = {
+        data: {
+            datasets: [{
+                data: [
+                    randomScalingFactor(),
+                    randomScalingFactor(),
+                    randomScalingFactor(),
+                    randomScalingFactor(),
+                    randomScalingFactor(),
+                ],
+                backgroundColor: [
+                    "#F7464A",
+                    "#46BFBD",
+                    "#FDB45C",
+                    "#949FB1",
+                    "#4D5360",
+                ],
+                label: 'My dataset' // for legend
+            }],
+            labels: [
+                "Red",
+                "Green",
+                "Yellow",
+                "Grey",
+                "Dark Grey"
+            ]
+        },
+        options: {
+            responsive: true,
+            legend: {
+                position: 'top',
+            },
+            title: {
+                display: true,
+                text: 'Our Favorite Dataset'
+            },
+            scale: {
+              ticks: {
+                beginAtZero: true
+              },
+              reverse: false
+            },
+            animateRotate:false
+        }
+    };
 
-			];
+    window.onload = function() {
+        var ctx = document.getElementById("chart-area");
+        window.myPolarArea = Chart.PolarArea(ctx, config);
+        updateLegend();
+    };
 
-			window.onload = function(){
-				var ctx = document.getElementById("chart-area").getContext("2d");
-				window.myPolarArea = new Chart(ctx).PolarArea(polarData, {
-					responsive:true
-				});
-			};
+    function updateLegend() {
+        $legendContainer = $('#legendContainer');
+        $legendContainer.empty();
+        $legendContainer.append(window.myPolarArea.generateLegend());
+    }
 
-			$('#randomizeData').click(function(){
-				$.each(polarData, function(i, piece){
-					polarData[i].value = randomScalingFactor();
-			    	polarData[i].color = 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',.7)';
-				});
-		    	window.myPolarArea.update();
-		    });
+    $('#randomizeData').click(function() {
+        $.each(config.data.datasets, function(i, piece) {
+            $.each(piece.data, function(j, value) {
+                config.data.datasets[i].data[j] = randomScalingFactor();
+                config.data.datasets[i].backgroundColor[j] = randomColor();
+            });
+        });
+        window.myPolarArea.update();
+        updateLegend();
+    });
 
+    $('#addData').click(function() {
+        if (config.data.datasets.length > 0) {
+            config.data.labels.push('dataset #' + config.data.labels.length);
 
+            $.each(config.data.datasets, function(i, dataset) {
+                dataset.backgroundColor.push(randomColor());
+                dataset.data.push(randomScalingFactor());
+            });
+
+            window.myPolarArea.update();
+            updateLegend();
+        }
+    });
+
+    $('#removeData').click(function() {
+        config.data.labels.pop(); // remove the label first
+
+        $.each(config.data.datasets, function(i, dataset) {
+            dataset.backgroundColor.pop();
+            dataset.data.pop();
+        });
+
+        window.myPolarArea.update();
+        updateLegend();
+    });
+    </script>
+</body>
 
-	</script>
-	</body>
 </html>

samples/radar-skip-points.html

@@ -0,0 +1,152 @@
+<!doctype html>
+<html>
+
+<head>
+    <title>Radar Chart</title>
+    <script src="../Chart.js"></script>
+    <script src="http://cdnjs.cloudflare.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
+</head>
+
+<body>
+    <div style="width:50%">
+        <canvas id="canvas" height="450" width="450"></canvas>
+    </div>
+    <button id="randomizeData">Randomize Data</button>
+    <button id="addDataset">Add Dataset</button>
+    <button id="removeDataset">Remove Dataset</button>
+    <button id="addData">Add Data</button>
+    <button id="removeData">Remove Data</button>
+    <div>
+        <h3>Legend</h3>
+        <div id="legendContainer">
+            
+        </div>
+    </div>
+    <script>
+    var randomScalingFactor = function() {
+        return Math.round(Math.random() * 100);
+    };
+    var randomColorFactor = function() {
+        return Math.round(Math.random() * 255);
+    };
+    var randomColor = function(opacity) {
+        return 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',' + (opacity || '.3') + ')';
+    };
+
+    var config = {
+        type: 'radar',
+        data: {
+            labels: ["Eating", "Drinking", "Sleeping", "Designing", "Coding", "Cycling", "Running"],
+            datasets: [{
+                label: "Skip first dataset",
+                borderColor: 'rgb(255, 0, 0)',
+                backgroundColor: "rgba(255,255,0,0.5)",
+                pointBackgroundColor: "rgba(220,220,220,1)",
+                data: [NaN, randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()]
+            }, {
+                label: "Skip mid dataset",
+                borderColor: 'rgb(255, 0, 255)',
+                backgroundColor: "rgba(0, 255, 0, 0.5)",
+                pointBackgroundColor: "rgba(151,187,205,1)",
+                hoverPointBackgroundColor: "#fff",
+                pointHighlightStroke: "rgba(151,187,205,1)",
+                data: [randomScalingFactor(), randomScalingFactor(), NaN, randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()]
+            },{
+                label: "Skip last dataset",
+                borderColor: 'rgb(0, 255, 255)',
+                backgroundColor: "rgba(0, 0, 255, 0.5)",
+                pointBackgroundColor: "rgba(151,187,205,1)",
+                hoverPointBackgroundColor: "#fff",
+                pointHighlightStroke: "rgba(151,187,205,1)",
+                data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), NaN]
+            }]
+        },
+        options: {
+            elements: {
+                line: {
+                    tension: 0.0,
+                }
+            },
+            scale: {
+                beginAtZero: true,
+                reverse: false
+            }
+        }
+    };
+
+    function updateLegend() {
+        $legendContainer = $('#legendContainer');
+        $legendContainer.empty();
+        $legendContainer.append(window.myRadar.generateLegend());
+    }
+
+    window.onload = function() {
+        window.myRadar = new Chart(document.getElementById("canvas"), config);
+        updateLegend();
+    };
+
+    $('#randomizeData').click(function() {
+        $.each(config.data.datasets, function(i, dataset) {
+            dataset.data = dataset.data.map(function() {
+                return randomScalingFactor();
+            });
+
+        });
+
+        window.myRadar.update();
+        updateLegend();
+    });
+
+    $('#addDataset').click(function() {
+        var newDataset = {
+            label: 'Dataset ' + config.data.datasets.length,
+            borderColor: randomColor(0.4),
+            backgroundColor: randomColor(0.5),
+            pointBorderColor: randomColor(0.7),
+            pointBackgroundColor: randomColor(0.5),
+            pointBorderWidth: 1,
+            data: [],
+        };
+
+        for (var index = 0; index < config.data.labels.length; ++index) {
+            newDataset.data.push(randomScalingFactor());
+        }
+
+        config.data.datasets.push(newDataset);
+        window.myRadar.update();
+        updateLegend();
+    });
+
+    $('#addData').click(function() {
+        if (config.data.datasets.length > 0) {
+            config.data.labels.push('dataset #' + config.data.labels.length);
+
+            $.each(config.data.datasets, function (i, dataset) {
+                dataset.data.push(randomScalingFactor());
+            });
+
+            window.myRadar.update();
+            updateLegend();
+        }
+    });
+
+    $('#removeDataset').click(function() {
+        config.data.datasets.splice(0, 1);
+        window.myRadar.update();
+        updateLegend();
+    });
+
+    $('#removeData').click(function() {
+        config.data.labels.pop(); // remove the label first
+
+        $.each(config.data.datasets, function(i, dataset) {
+            dataset.data.pop();
+        });
+
+        window.myRadar.update();
+        updateLegend();
+    });
+    </script>
+</body>
+
+</html>

samples/radar.html

@@ -1,64 +1,150 @@
 <!doctype html>
 <html>
-	<head>
-		<title>Radar Chart</title>
-		<script src="../Chart.js"></script>
-		<script src="http://cdnjs.cloudflare.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
-	</head>
-	<body>
-		<div style="width:30%">
-			<canvas id="canvas" height="450" width="450"></canvas>
-		</div>
-		<button id="randomizeData">Randomize Data</button>
 
+<head>
+    <title>Radar Chart</title>
+    <script src="../Chart.js"></script>
+    <script src="http://cdnjs.cloudflare.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
+</head>
 
-	<script>
+<body>
+    <div style="width:100%">
+        <canvas id="canvas"></canvas>
+    </div>
+    <button id="randomizeData">Randomize Data</button>
+    <button id="addDataset">Add Dataset</button>
+    <button id="removeDataset">Remove Dataset</button>
+    <button id="addData">Add Data</button>
+    <button id="removeData">Remove Data</button>
+    <div>
+        <h3>Legend</h3>
+        <div id="legendContainer">
 
-	var randomScalingFactor = function(){ return Math.round(Math.random()*100)};
-	var randomColorFactor = function(){ return Math.round(Math.random()*255)};
+        </div>
+    </div>
+    <script>
+    var randomScalingFactor = function() {
+        return Math.round(Math.random() * 100);
+    };
+    var randomColorFactor = function() {
+        return Math.round(Math.random() * 255);
+    };
+    var randomColor = function(opacity) {
+        return 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',' + (opacity || '.3') + ')';
+    };
 
-	var radarChartData = {
-		labels: ["Eating", "Drinking", "Sleeping", "Designing", "Coding", "Cycling", "Running"],
-		datasets: [
-			{
-				label: "My First dataset",
-				fillColor: "rgba(220,220,220,0.2)",
-				strokeColor: "rgba(220,220,220,1)",
-				pointColor: "rgba(220,220,220,1)",
-				pointStrokeColor: "#fff",
-				pointHighlightFill: "#fff",
-				pointHighlightStroke: "rgba(220,220,220,1)",
-				data : [randomScalingFactor(),randomScalingFactor(),randomScalingFactor(),randomScalingFactor(),randomScalingFactor(),randomScalingFactor(),randomScalingFactor()]
-			},
-			{
-				label: "My Second dataset",
-				fillColor: "rgba(151,187,205,0.2)",
-				strokeColor: "rgba(151,187,205,1)",
-				pointColor: "rgba(151,187,205,1)",
-				pointStrokeColor: "#fff",
-				pointHighlightFill: "#fff",
-				pointHighlightStroke: "rgba(151,187,205,1)",
-				data : [randomScalingFactor(),randomScalingFactor(),randomScalingFactor(),randomScalingFactor(),randomScalingFactor(),randomScalingFactor(),randomScalingFactor()]
-			}
-		]
-	};
+    var config = {
+        type: 'radar',
+        data: {
+            labels: ["Eating", "Drinking", "Sleeping", "Designing", "Coding", "Cycling", "Running"],
+            datasets: [{
+                label: "My First dataset",
+                backgroundColor: "rgba(220,220,220,0.2)",
+                pointBackgroundColor: "rgba(220,220,220,1)",
+                data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()]
+            }, {
+                label: 'Hidden dataset',
+                hidden: true,
+                data: [],
+            }, {
+                label: "My Second dataset",
+                backgroundColor: "rgba(151,187,205,0.2)",
+                pointBackgroundColor: "rgba(151,187,205,1)",
+                hoverPointBackgroundColor: "#fff",
+                pointHighlightStroke: "rgba(151,187,205,1)",
+                data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()]
+            },]
+        },
+        options: {
+            legend: {
+                position: 'top',
+            },
+            title: {
+                display: true,
+                text: 'Our 3 Favorite Datasets'
+            },
+            scale: {
+              reverse: false,
+              ticks: {
+                beginAtZero: true
+              }
+            }
+        }
+    };
 
-	window.onload = function(){
-		window.myRadar = new Chart(document.getElementById("canvas").getContext("2d")).Radar(radarChartData, {
-			responsive: true
-		});
-	}
+    function updateLegend() {
+        $legendContainer = $('#legendContainer');
+        $legendContainer.empty();
+        $legendContainer.append(window.myRadar.generateLegend());
+    }
 
-	$('#randomizeData').click(function(){
-    	radarChartData.datasets[0].fillColor = 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',.3)';
-    	radarChartData.datasets[0].data = [randomScalingFactor(),randomScalingFactor(),randomScalingFactor(),randomScalingFactor(),randomScalingFactor(),randomScalingFactor(),randomScalingFactor()];
+    window.onload = function() {
+        window.myRadar = new Chart(document.getElementById("canvas"), config);
+        updateLegend();
+    };
 
-    	radarChartData.datasets[1].fillColor = 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',.3)';
-    	radarChartData.datasets[1].data = [randomScalingFactor(),randomScalingFactor(),randomScalingFactor(),randomScalingFactor(),randomScalingFactor(),randomScalingFactor(),randomScalingFactor()];
+    $('#randomizeData').click(function() {
+        $.each(config.data.datasets, function(i, dataset) {
+            dataset.data = dataset.data.map(function() {
+                return randomScalingFactor();
+            });
 
-    	window.myRadar.update();
+        });
+
+        window.myRadar.update();
+        updateLegend();
     });
 
-	</script>
-	</body>
+    $('#addDataset').click(function() {
+        var newDataset = {
+            label: 'Dataset ' + config.data.datasets.length,
+            borderColor: randomColor(0.4),
+            backgroundColor: randomColor(0.5),
+            pointBorderColor: randomColor(0.7),
+            pointBackgroundColor: randomColor(0.5),
+            pointBorderWidth: 1,
+            data: [],
+        };
+
+        for (var index = 0; index < config.data.labels.length; ++index) {
+            newDataset.data.push(randomScalingFactor());
+        }
+
+        config.data.datasets.push(newDataset);
+        window.myRadar.update();
+        updateLegend();
+    });
+
+    $('#addData').click(function() {
+        if (config.data.datasets.length > 0) {
+            config.data.labels.push('dataset #' + config.data.labels.length);
+
+            $.each(config.data.datasets, function (i, dataset) {
+                dataset.data.push(randomScalingFactor());
+            });
+
+            window.myRadar.update();
+            updateLegend();
+        }
+    });
+
+    $('#removeDataset').click(function() {
+        config.data.datasets.splice(0, 1);
+        window.myRadar.update();
+        updateLegend();
+    });
+
+    $('#removeData').click(function() {
+        config.data.labels.pop(); // remove the label first
+
+        $.each(config.data.datasets, function(i, dataset) {
+            dataset.data.pop();
+        });
+
+        window.myRadar.update();
+        updateLegend();
+    });
+    </script>
+</body>
+
 </html>

samples/scatter-logX.html

@@ -0,0 +1,174 @@
+<!doctype html>
+<html>
+
+<head>
+    <title>Scatter Chart</title>
+    <script src="../Chart.js"></script>
+    <script src="../node_modules/jquery/dist/jquery.min.js"></script>
+</head>
+
+<body>
+    <div style="width:50%">
+        <div>
+            <canvas id="canvas" height="450" width="600" style="border: 1px solid red;"></canvas>
+        </div>
+    </div>
+    <script>
+    var randomScalingFactor = function() {
+        return Math.round(Math.random() * 10.0) * Math.pow(10, Math.ceil(Math.random() * 5));
+    };
+    var randomColor = function(opacity) {
+        return 'rgba(' + Math.round(Math.random() * 255) + ',' + Math.round(Math.random() * 255) + ',' + Math.round(Math.random() * 255) + ',' + (opacity || '.3') + ')';
+    };
+
+    var scatterChartData = {
+        datasets: [{
+            label: "V(node2)",
+			data: [{
+				x: 1,
+				y: -1.711e-2,
+			}, {
+				x: 1.26,
+				y: -2.708e-2,
+			}, {
+				x: 1.58,
+				y: -4.285e-2,
+			}, {
+				x: 2.0,
+				y: -6.772e-2,
+			}, {
+				x: 2.51,
+				y: -1.068e-1,
+			}, {
+				x: 3.16,
+				y: -1.681e-1,
+			}, {
+				x: 3.98,
+				y: -2.635e-1,
+			}, {
+				x: 5.01,
+				y: -4.106e-1,
+			}, {
+				x: 6.31,
+				y: -6.339e-1,
+			}, {
+				x: 7.94,
+				y: -9.659e-1,
+			}, {
+				x: 10.00,
+				y: -1.445,
+			}, {
+				x: 12.6,
+				y: -2.110,
+			}, {
+				x: 15.8,
+				y: -2.992,
+			}, {
+				x: 20.0,
+				y: -4.102,
+			}, {
+				x: 25.1,
+				y: -5.429,
+			}, {
+				x: 31.6,
+				y: -6.944,
+			}, {
+				x: 39.8,
+				y: -8.607,
+			}, {
+				x: 50.1,
+				y: -1.038e1,
+			}, {
+				x: 63.1,
+				y: -1.223e1,
+			}, {
+				x: 79.4,
+				y: -1.413e1,
+			}, {
+				x: 100.00,
+				y: -1.607e1,
+			}, {
+				x: 126,
+				y: -1.803e1,
+			}, {
+				x: 158,
+				y: -2e1,
+			}, {
+				x: 200,
+				y: -2.199e1,
+			}, {
+				x: 251,
+				y: -2.398e1,
+			}, {
+				x: 316,
+				y: -2.597e1,
+			}, {
+				x: 398,
+				y: -2.797e1,
+			}, {
+				x: 501,
+				y: -2.996e1,
+			}, {
+				x: 631,
+				y: -3.196e1,
+			}, {
+				x: 794,
+				y: -3.396e1,
+			}, {
+				x: 1000,
+				y: -3.596e1,
+			},]
+        }]
+    };
+
+    $.each(scatterChartData.datasets, function(i, dataset) {
+        dataset.borderColor = randomColor(0.4);
+        dataset.backgroundColor = randomColor(0.1);
+        dataset.pointBorderColor = randomColor(0.7);
+        dataset.pointBackgroundColor = randomColor(0.5);
+        dataset.pointBorderWidth = 1;
+    });
+
+    window.onload = function() {
+        var ctx = document.getElementById("canvas").getContext("2d");
+        window.myScatter = Chart.Scatter(ctx, {
+        	data: scatterChartData,
+        	options: {
+	            scales: {
+	            	xAxes: [{
+	            		type: 'logarithmic',
+	            		position: 'bottom',
+	            		ticks: {
+	            			userCallback: function(tick) {
+	            				var remain = tick / (Math.pow(10, Math.floor(Chart.helpers.log10(tick))));
+	            				if (remain === 1 || remain === 2 || remain === 5) {
+	            					return tick.toString() + "Hz";
+	            				}
+	            				return '';
+	            			},
+	            		},
+	            		scaleLabel: {
+	            			labelString: 'Frequency',
+	            			display: true,
+	            		}
+	            	}],
+	            	yAxes: [{
+	            		type: 'linear',
+	            		ticks: {
+	            			userCallback: function(tick) {
+	            				return tick.toString() + "dB";
+	            			}
+	            		},
+	            		scaleLabel: {
+	            			labelString: 'Voltage',
+	            			display: true
+	            		}
+	            	}]
+	            }
+            }
+        });
+    };
+    </script>
+</body>
+
+</html>

samples/scatter-multi-axis.html

@@ -0,0 +1,177 @@
+<!doctype html>
+<html>
+
+<head>
+    <title>Scatter Chart Multi Axis</title>
+    <script src="../Chart.js"></script>
+    <script src="http://cdnjs.cloudflare.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
+</head>
+
+<body>
+    <div style="width:50%">
+        <div>
+            <canvas id="canvas" height="450" width="600"></canvas>
+        </div>
+    </div>
+    <button id="randomizeData">Randomize Data</button>
+    <script>
+    var randomScalingFactor = function() {
+        return (Math.random() > 0.5 ? 1.0 : -1.0) * Math.round(Math.random() * 100);
+    };
+    var randomColor = function(opacity) {
+        return 'rgba(' + Math.round(Math.random() * 255) + ',' + Math.round(Math.random() * 255) + ',' + Math.round(Math.random() * 255) + ',' + (opacity || '.3') + ')';
+    };
+
+    var scatterChartData = {
+        datasets: [{
+            label: "My First dataset",
+            xAxisID: "x-axis-1",
+            yAxisID: "y-axis-1",
+			data: [{
+				x: randomScalingFactor(),
+				y: randomScalingFactor(),
+			}, {
+				x: randomScalingFactor(),
+				y: randomScalingFactor(),
+			}, {
+				x: randomScalingFactor(),
+				y: randomScalingFactor(),
+			}, {
+				x: randomScalingFactor(),
+				y: randomScalingFactor(),
+			}, {
+				x: randomScalingFactor(),
+				y: randomScalingFactor(),
+			}, {
+				x: randomScalingFactor(),
+				y: randomScalingFactor(),
+			}, {
+				x: randomScalingFactor(),
+				y: randomScalingFactor(),
+			}]
+        }, {
+            label: "My Second dataset",
+            xAxisID: "x-axis-1",
+            yAxisID: "y-axis-2",
+            data: [{
+				x: randomScalingFactor(),
+				y: randomScalingFactor(),
+			}, {
+				x: randomScalingFactor(),
+				y: randomScalingFactor(),
+			}, {
+				x: randomScalingFactor(),
+				y: randomScalingFactor(),
+			}, {
+				x: randomScalingFactor(),
+				y: randomScalingFactor(),
+			}, {
+				x: randomScalingFactor(),
+				y: randomScalingFactor(),
+			}, {
+				x: randomScalingFactor(),
+				y: randomScalingFactor(),
+			}, {
+				x: randomScalingFactor(),
+				y: randomScalingFactor(),
+			}]
+        }]
+    };
+
+    $.each(scatterChartData.datasets, function(i, dataset) {
+        dataset.borderColor = randomColor(0.4);
+        dataset.backgroundColor = randomColor(0.1);
+        dataset.pointBorderColor = randomColor(0.7);
+        dataset.pointBackgroundColor = randomColor(0.5);
+        dataset.pointBorderWidth = 1;
+    });
+
+    console.log(scatterChartData);
+
+    window.onload = function() {
+        var ctx = document.getElementById("canvas").getContext("2d");
+        window.myScatter = Chart.Scatter(ctx, {
+        	data: scatterChartData,
+        	options: {
+	            responsive: true,
+	            hoverMode: 'single',
+	            scales: {
+	            	xAxes: [{
+	            		position: "bottom",
+	            		gridLines: {
+	            			zeroLineColor: "rgba(0,0,0,1)"
+	            		}
+	            	}],
+	            	yAxes: [{
+		                type: "linear", // only linear but allow scale type registration. This allows extensions to exist solely for log scale for instance
+		                display: true,
+		                position: "left",
+		                id: "y-axis-1",
+		            }, {
+		                type: "linear", // only linear but allow scale type registration. This allows extensions to exist solely for log scale for instance
+		                display: true,
+		                position: "right",
+		                reverse: true,
+		                id: "y-axis-2",
+		        
+		                // grid line settings
+		                gridLines: {
+		                    drawOnChartArea: false, // only want the grid lines for one axis to show up
+		                },
+		            }],
+	            }
+	        }
+        });
+    };
+
+    $('#randomizeData').click(function() {
+        scatterChartData.datasets[0].data = [{
+			x: randomScalingFactor(),
+			y: randomScalingFactor(),
+		}, {
+			x: randomScalingFactor(),
+			y: randomScalingFactor(),
+		}, {
+			x: randomScalingFactor(),
+			y: randomScalingFactor(),
+		}, {
+			x: randomScalingFactor(),
+			y: randomScalingFactor(),
+		}, {
+			x: randomScalingFactor(),
+			y: randomScalingFactor(),
+		}, {
+			x: randomScalingFactor(),
+			y: randomScalingFactor(),
+		}, {
+			x: randomScalingFactor(),
+			y: randomScalingFactor(),
+		}];
+        scatterChartData.datasets[1].data = [{
+			x: randomScalingFactor(),
+			y: randomScalingFactor(),
+		}, {
+			x: randomScalingFactor(),
+			y: randomScalingFactor(),
+		}, {
+			x: randomScalingFactor(),
+			y: randomScalingFactor(),
+		}, {
+			x: randomScalingFactor(),
+			y: randomScalingFactor(),
+		}, {
+			x: randomScalingFactor(),
+			y: randomScalingFactor(),
+		}, {
+			x: randomScalingFactor(),
+			y: randomScalingFactor(),
+		}, {
+			x: randomScalingFactor(),
+			y: randomScalingFactor(),
+		}]
+        window.myScatter.update();
+    });
+    </script>
+</body>
+
+</html>

samples/scatter.html

@@ -0,0 +1,168 @@
+<!doctype html>
+<html>
+
+<head>
+    <title>Scatter Chart</title>
+    <script src="../Chart.js"></script>
+    <script src="http://cdnjs.cloudflare.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
+</head>
+
+<body>
+    <div style="width:50%">
+        <div>
+            <canvas id="canvas" height="450" width="600"></canvas>
+        </div>
+    </div>
+    <button id="randomizeData">Randomize Data</button>
+    <script>
+        var randomScalingFactor = function() {
+            return (Math.random() > 0.5 ? 1.0 : -1.0) * Math.round(Math.random() * 100);
+        };
+        var randomColor = function(opacity) {
+            return 'rgba(' + Math.round(Math.random() * 255) + ',' + Math.round(Math.random() * 255) + ',' + Math.round(Math.random() * 255) + ',' + (opacity || '.3') + ')';
+        };
+
+        var scatterChartData = {
+            datasets: [{
+                label: "My First dataset",
+                data: [{
+                    x: randomScalingFactor(),
+                    y: randomScalingFactor(),
+                }, {
+                    x: randomScalingFactor(),
+                    y: randomScalingFactor(),
+                }, {
+                    x: randomScalingFactor(),
+                    y: randomScalingFactor(),
+                }, {
+                    x: randomScalingFactor(),
+                    y: randomScalingFactor(),
+                }, {
+                    x: randomScalingFactor(),
+                    y: randomScalingFactor(),
+                }, {
+                    x: randomScalingFactor(),
+                    y: randomScalingFactor(),
+                }, {
+                    x: randomScalingFactor(),
+                    y: randomScalingFactor(),
+                }]
+            }, {
+                label: "My Second dataset",
+                data: [{
+                    x: randomScalingFactor(),
+                    y: randomScalingFactor(),
+                }, {
+                    x: randomScalingFactor(),
+                    y: randomScalingFactor(),
+                }, {
+                    x: randomScalingFactor(),
+                    y: randomScalingFactor(),
+                }, {
+                    x: randomScalingFactor(),
+                    y: randomScalingFactor(),
+                }, {
+                    x: randomScalingFactor(),
+                    y: randomScalingFactor(),
+                }, {
+                    x: randomScalingFactor(),
+                    y: randomScalingFactor(),
+                }, {
+                    x: randomScalingFactor(),
+                    y: randomScalingFactor(),
+                }]
+            }]
+        };
+
+        $.each(scatterChartData.datasets, function(i, dataset) {
+            dataset.borderColor = randomColor(0.4);
+            dataset.backgroundColor = randomColor(0.1);
+            dataset.pointBorderColor = randomColor(0.7);
+            dataset.pointBackgroundColor = randomColor(0.5);
+            dataset.pointBorderWidth = 1;
+        });
+
+        console.log(scatterChartData);
+
+        window.onload = function() {
+            var ctx = document.getElementById("canvas").getContext("2d");
+            window.myScatter = Chart.Scatter(ctx, {
+                data: scatterChartData,
+                options: {
+                    scales: {
+                        xAxes: [{
+                            position: 'top',
+                            gridLines: {
+                                zeroLineColor: "rgba(0,255,0,1)"
+                            },
+                            scaleLabel: {
+                                display: true,
+                                labelString: 'x axis'
+                            }
+                        }],
+                        yAxes: [{
+                            position: 'right',
+                            gridLines: {
+                                zeroLineColor: "rgba(0,255,0,1)"
+                            },
+                            scaleLabel: {
+                                display: true,
+                                labelString: 'y axis'
+                            }
+                        }]
+                    }
+                }
+            });
+        };
+
+        $('#randomizeData').click(function() {
+            scatterChartData.datasets[0].data = [{
+                x: randomScalingFactor(),
+                y: randomScalingFactor(),
+            }, {
+                x: randomScalingFactor(),
+                y: randomScalingFactor(),
+            }, {
+                x: randomScalingFactor(),
+                y: randomScalingFactor(),
+            }, {
+                x: randomScalingFactor(),
+                y: randomScalingFactor(),
+            }, {
+                x: randomScalingFactor(),
+                y: randomScalingFactor(),
+            }, {
+                x: randomScalingFactor(),
+                y: randomScalingFactor(),
+            }, {
+                x: randomScalingFactor(),
+                y: randomScalingFactor(),
+            }];
+            scatterChartData.datasets[1].data = [{
+                x: randomScalingFactor(),
+                y: randomScalingFactor(),
+            }, {
+                x: randomScalingFactor(),
+                y: randomScalingFactor(),
+            }, {
+                x: randomScalingFactor(),
+                y: randomScalingFactor(),
+            }, {
+                x: randomScalingFactor(),
+                y: randomScalingFactor(),
+            }, {
+                x: randomScalingFactor(),
+                y: randomScalingFactor(),
+            }, {
+                x: randomScalingFactor(),
+                y: randomScalingFactor(),
+            }, {
+                x: randomScalingFactor(),
+                y: randomScalingFactor(),
+            }]
+            window.myScatter.update();
+        });
+    </script>
+</body>
+
+</html>

samples/timeScale/combo-time-scale.html

@@ -0,0 +1,180 @@
+<!doctype html>
+<html>
+
+<head>
+	<title>Line Chart</title>
+	<script src="../../node_modules/moment/min/moment.min.js"></script>
+	<script src="../../Chart.js"></script>
+	<script src="../../node_modules/jquery/dist/jquery.min.js"></script>
+	<style>
+		canvas {
+			-webkit-box-shadow: 0 0 20px 0 rgba(0, 0, 0, .5);
+		}
+	</style>
+</head>
+
+<body>
+	<div style="width:100%;">
+		<canvas id="canvas" style="width:100%;height:100%"></canvas>
+	</div>
+	<br>
+	<br>
+	<button id="randomizeData">Randomize Data</button>
+	<button id="addDataset">Add Dataset</button>
+	<button id="removeDataset">Remove Dataset</button>
+	<button id="addData">Add Data</button>
+	<button id="removeData">Remove Data</button>
+	<div>
+		<h3>Legend</h3>
+		<div id="legendContainer">
+		</div>
+	</div>
+	<script>
+		var timeFormat = 'MM/DD/YYYY HH:mm';
+
+		function randomScalingFactor() {
+			return Math.round(Math.random() * 100 * (Math.random() > 0.5 ? -1 : 1));
+		}
+
+		function randomColorFactor() {
+			return Math.round(Math.random() * 255);
+		}
+
+		function randomColor(opacity) {
+			return 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',' + (opacity || '.3') + ')';
+		}
+
+		function newDateString(days) {
+			return moment().add(days, 'd').format(timeFormat);
+		}
+
+		var config = {
+			type: 'bar',
+			data: {
+				labels: [newDateString(0), newDateString(1), newDateString(2), newDateString(3), newDateString(4), newDateString(5), newDateString(6)],
+				datasets: [{
+					type: 'bar',
+					label: 'Dataset 1',
+					backgroundColor: "rgba(151,187,205,0.5)",
+					data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
+					borderColor: 'white',
+					borderWidth: 2
+				}, {
+					type: 'bar',
+					label: 'Dataset 2',
+					backgroundColor: "rgba(151,187,205,0.5)",
+					data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
+					borderColor: 'white',
+					borderWidth: 2
+				}, {
+					type: 'line',
+					label: 'Dataset 3',
+					backgroundColor: "rgba(220,220,220,0.5)",
+					data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()]
+				}, ]
+			},
+			options: {
+				responsive: true,
+				scales: {
+					xAxes: [{
+						type: "time",
+						display: true,
+						time: {
+							format: timeFormat,
+							// round: 'day'
+						}
+					}],
+				},
+			}
+		};
+
+		$.each(config.data.datasets, function(i, dataset) {
+			dataset.borderColor = randomColor(0.4);
+			dataset.backgroundColor = randomColor(0.5);
+			dataset.pointBorderColor = randomColor(0.7);
+			dataset.pointBackgroundColor = randomColor(0.5);
+			dataset.pointBorderWidth = 1;
+		});
+
+		console.log(config.data);
+
+		window.onload = function() {
+			var ctx = document.getElementById("canvas").getContext("2d");
+			window.myLine = new Chart(ctx, config);
+
+			updateLegend();
+		};
+
+		function updateLegend() {
+			$legendContainer = $('#legendContainer');
+			$legendContainer.empty();
+			$legendContainer.append(window.myLine.generateLegend());
+		}
+
+		$('#randomizeData').click(function() {
+			$.each(config.data.datasets, function(i, dataset) {
+				dataset.data = dataset.data.map(function() {
+					return randomScalingFactor();
+				});
+			});
+
+			window.myLine.update();
+			updateLegend();
+		});
+
+		$('#addDataset').click(function() {
+			var newDataset = {
+				label: 'Dataset ' + config.data.datasets.length,
+				borderColor: randomColor(0.4),
+				backgroundColor: randomColor(0.5),
+				pointBorderColor: randomColor(0.7),
+				pointBackgroundColor: randomColor(0.5),
+				pointBorderWidth: 1,
+				data: [],
+			};
+
+			for (var index = 0; index < config.data.labels.length; ++index) {
+				newDataset.data.push(randomScalingFactor());
+			}
+
+			config.data.datasets.push(newDataset);
+			window.myLine.update();
+			updateLegend();
+		});
+
+		$('#addData').click(function() {
+			if (config.data.datasets.length > 0) {
+				config.data.labels.push(
+					myLine.scales['x-axis-0'].labelMoments[myLine.scales['x-axis-0'].labelMoments.length - 1].add(1, 'day')
+					.format('MM/DD/YYYY')
+				);
+
+				for (var index = 0; index < config.data.datasets.length; ++index) {
+					config.data.datasets[index].data.push(randomScalingFactor());
+				}
+
+				window.myLine.update();
+				updateLegend();
+			}
+		});
+
+		$('#removeDataset').click(function() {
+			config.data.datasets.splice(0, 1);
+			window.myLine.update();
+			updateLegend();
+		});
+
+		$('#removeData').click(function() {
+			config.data.labels.splice(-1, 1); // remove the label first
+
+			config.data.datasets.forEach(function(dataset, datasetIndex) {
+				config.data.datasets[datasetIndex].data.pop();
+			});
+
+			window.myLine.update();
+			updateLegend();
+		});
+	</script>
+</body>
+
+</html>

samples/timeScale/line-time-point-data.html

@@ -0,0 +1,172 @@
+<!doctype html>
+<html>
+
+<head>
+	<title>Time Scale Point Data</title>
+	<script src="../../node_modules/moment/min/moment.min.js"></script>
+	<script src="../../Chart.js"></script>
+	<script src="../../node_modules/jquery/dist/jquery.min.js"></script>
+	<style>
+		canvas {
+			-webkit-box-shadow: 0 0 20px 0 rgba(0, 0, 0, .5);
+		}
+	</style>
+</head>
+
+<body>
+	<div style="width:100%;">
+		<canvas id="canvas" style="width:100%;height:100%"></canvas>
+	</div>
+	<br>
+	<br>
+	<button id="randomizeData">Randomize Data</button>
+	<button id="addData">Add Data</button>
+	<button id="removeData">Remove Data</button>
+	<div>
+		<h3>Legend</h3>
+		<div id="legendContainer">
+		</div>
+	</div>
+	<script>
+		function randomScalingFactor() {
+			return Math.round(Math.random() * 100 * (Math.random() > 0.5 ? -1 : 1));
+		}
+
+		function randomColorFactor() {
+			return Math.round(Math.random() * 255);
+		}
+
+		function randomColor(opacity) {
+			return 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',' + (opacity || '.3') + ')';
+		}
+
+		function newDate(days) {
+			return moment().add(days, 'd').toDate();
+		}
+		
+		function newDateString(days) {
+			return moment().add(days, 'd').format();
+		}
+
+		var config = {
+			type: 'line',
+			data: {
+				datasets: [{
+					label: "Dataset with string point data",
+					data: [{
+						x: newDateString(0),
+						y: randomScalingFactor()
+					}, {
+						x: newDateString(2),
+						y: randomScalingFactor()
+					}, {
+						x: newDateString(4),
+						y: randomScalingFactor()
+					}, {
+						x: newDateString(5),
+						y: randomScalingFactor()
+					}],
+					fill: false
+				}, {
+					label: "Dataset with date object point data",
+					data: [{
+						x: newDate(0),
+						y: randomScalingFactor()
+					}, {
+						x: newDate(2),
+						y: randomScalingFactor()
+					}, {
+						x: newDate(4),
+						y: randomScalingFactor()
+					}, {
+						x: newDate(5),
+						y: randomScalingFactor()
+					}],
+					fill: false
+				}]
+			},
+			options: {
+				responsive: true,
+				scales: {
+					xAxes: [{
+						type: "time",
+						display: true,
+						scaleLabel: {
+							display: true,
+							labelString: 'Date'
+						}
+					}, ],
+					yAxes: [{
+						display: true,
+						scaleLabel: {
+							display: true,
+							labelString: 'value'
+						}
+					}]
+				}
+			}
+		};
+
+		$.each(config.data.datasets, function(i, dataset) {
+			dataset.borderColor = randomColor(0.4);
+			dataset.backgroundColor = randomColor(0.5);
+			dataset.pointBorderColor = randomColor(0.7);
+			dataset.pointBackgroundColor = randomColor(0.5);
+			dataset.pointBorderWidth = 1;
+		});
+
+		window.onload = function() {
+			var ctx = document.getElementById("canvas").getContext("2d");
+			window.myLine = new Chart(ctx, config);
+
+			updateLegend();
+		};
+
+		function updateLegend() {
+			$legendContainer = $('#legendContainer');
+			$legendContainer.empty();
+			$legendContainer.append(window.myLine.generateLegend());
+		}
+
+		$('#randomizeData').click(function() {
+			$.each(config.data.datasets, function(i, dataset) {
+				$.each(dataset.data, function(j, dataObj) {
+					dataObj.y = randomScalingFactor();
+				});
+			});
+
+			window.myLine.update();
+			updateLegend();
+		});
+
+		$('#addData').click(function() {
+			if (config.data.datasets.length > 0) {
+				var newTime = myLine.scales['x-axis-0'].labelMoments[0][myLine.scales['x-axis-0'].labelMoments[0].length - 1]
+					.clone()
+					.add(1, 'day')
+					.format('MM/DD/YYYY HH:mm');
+
+				for (var index = 0; index < config.data.datasets.length; ++index) {
+					config.data.datasets[index].data.push({
+						x: newTime,
+						y: randomScalingFactor()
+					});
+				}
+
+				window.myLine.update();
+				updateLegend();
+			}
+		});
+
+		$('#removeData').click(function() {
+			config.data.datasets.forEach(function(dataset, datasetIndex) {
+				dataset.data.pop();
+			});
+
+			window.myLine.update();
+			updateLegend();
+		});
+	</script>
+</body>
+
+</html>

samples/timeScale/line-time-scale.html

@@ -0,0 +1,211 @@
+<!doctype html>
+<html>
+
+<head>
+	<title>Line Chart</title>
+	<script src="../../node_modules/moment/min/moment.min.js"></script>
+	<script src="../../Chart.js"></script>
+	<script src="../../node_modules/jquery/dist/jquery.min.js"></script>
+	<style>
+		canvas {
+			-webkit-box-shadow: 0 0 20px 0 rgba(0, 0, 0, .5);
+		}
+	</style>
+</head>
+
+<body>
+	<div style="width:100%;">
+		<canvas id="canvas" style="width:100%;height:100%"></canvas>
+	</div>
+	<br>
+	<br>
+	<button id="randomizeData">Randomize Data</button>
+	<button id="addDataset">Add Dataset</button>
+	<button id="removeDataset">Remove Dataset</button>
+	<button id="addData">Add Data</button>
+	<button id="removeData">Remove Data</button>
+	<div>
+		<h3>Legend</h3>
+		<div id="legendContainer">
+		</div>
+	</div>
+	<script>
+		var timeFormat = 'MM/DD/YYYY HH:mm';
+		
+		function randomScalingFactor() {
+			return Math.round(Math.random() * 100 * (Math.random() > 0.5 ? -1 : 1));
+		}
+
+		function randomColorFactor() {
+			return Math.round(Math.random() * 255);
+		}
+
+		function randomColor(opacity) {
+			return 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',' + (opacity || '.3') + ')';
+		}
+
+		function newDate(days) {
+			return moment().add(days, 'd').toDate();
+		}
+		
+		function newDateString(days) {
+			return moment().add(days, 'd').format(timeFormat);
+		}
+
+		function newTimestamp(days) {
+			return moment().add(days, 'd').unix();
+		}
+
+		var config = {
+			type: 'line',
+			data: {
+				labels: [newDate(0), newDate(1), newDate(2), newDate(3), newDate(4), newDate(5), newDate(6)], // Date Objects
+				datasets: [{
+					label: "My First dataset",
+					data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
+					fill: false,
+					borderDash: [5, 5],
+				}, {
+					label: "My Second dataset",
+					data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
+				}, {
+					label: "Dataset with point data",
+					data: [{
+						x: newDateString(0),
+						y: randomScalingFactor()
+					}, {
+						x: newDateString(5),
+						y: randomScalingFactor()
+					}, {
+						x: newDateString(7),
+						y: randomScalingFactor()
+					}, {
+						x: newDateString(15),
+						y: randomScalingFactor()
+					}],
+					fill: false
+				}]
+			},
+			options: {
+				responsive: true,
+				scales: {
+					xAxes: [{
+						type: "time",
+						time: {
+							format: timeFormat,
+							// round: 'day'
+							tooltipFormat: 'll HH:mm'
+						},
+						scaleLabel: {
+							display: true,
+							labelString: 'Date'
+						}
+					}, ],
+					yAxes: [{
+						scaleLabel: {
+							display: true,
+							labelString: 'value'
+						}
+					}]
+				},
+			}
+		};
+
+		$.each(config.data.datasets, function(i, dataset) {
+			dataset.borderColor = randomColor(0.4);
+			dataset.backgroundColor = randomColor(0.5);
+			dataset.pointBorderColor = randomColor(0.7);
+			dataset.pointBackgroundColor = randomColor(0.5);
+			dataset.pointBorderWidth = 1;
+		});
+
+		console.log(config.data);
+
+		window.onload = function() {
+			var ctx = document.getElementById("canvas").getContext("2d");
+			window.myLine = new Chart(ctx, config);
+
+			updateLegend();
+		};
+
+		function updateLegend() {
+			$legendContainer = $('#legendContainer');
+			$legendContainer.empty();
+			$legendContainer.append(window.myLine.generateLegend());
+		}
+
+		$('#randomizeData').click(function() {
+			$.each(config.data.datasets, function(i, dataset) {
+				$.each(dataset.data, function(j, dataObj) {
+					if (typeof dataObj === 'object') {
+						dataObj.y = randomScalingFactor();
+					} else {
+						dataset.data[j] = randomScalingFactor();
+					}
+				});
+			});
+
+			window.myLine.update();
+			updateLegend();
+		});
+
+		$('#addDataset').click(function() {
+			var newDataset = {
+				label: 'Dataset ' + config.data.datasets.length,
+				borderColor: randomColor(0.4),
+				backgroundColor: randomColor(0.5),
+				pointBorderColor: randomColor(0.7),
+				pointBackgroundColor: randomColor(0.5),
+				pointBorderWidth: 1,
+				data: [],
+			};
+
+			for (var index = 0; index < config.data.labels.length; ++index) {
+				newDataset.data.push(randomScalingFactor());
+			}
+
+			config.data.datasets.push(newDataset);
+			window.myLine.update();
+			updateLegend();
+		});
+
+		$('#addData').click(function() {
+			if (config.data.datasets.length > 0) {
+				config.data.labels.push(newDate(config.data.labels.length));
+
+				for (var index = 0; index < config.data.datasets.length; ++index) {
+					if (typeof config.data.datasets[index].data[0] === "object") {
+						config.data.datasets[index].data.push({
+							x: newDate(config.data.datasets[index].data.length),
+							y: randomScalingFactor(),
+						})
+					} else {
+						config.data.datasets[index].data.push(randomScalingFactor());
+					}
+				}
+
+				window.myLine.update();
+				updateLegend();
+			}
+		});
+
+		$('#removeDataset').click(function() {
+			config.data.datasets.splice(0, 1);
+			window.myLine.update();
+			updateLegend();
+		});
+
+		$('#removeData').click(function() {
+			config.data.labels.splice(-1, 1); // remove the label first
+
+			config.data.datasets.forEach(function(dataset, datasetIndex) {
+				dataset.data.pop();
+			});
+
+			window.myLine.update();
+			updateLegend();
+		});
+	</script>
+</body>
+
+</html>

samples/tooltip-hooks.html

@@ -0,0 +1,191 @@
+<!doctype html>
+<html>
+
+<head>
+    <title>Line Chart</title>
+    <script src="../Chart.js"></script>
+    <script src="../node_modules/jquery/dist/jquery.min.js"></script>
+    <style>
+        canvas {
+            -webkit-box-shadow: 0 0 20px 0 rgba(0, 0, 0, .5);
+        }
+    </style>
+</head>
+
+<body>
+    <div style="width:100%;">
+        <canvas id="canvas" style="width:100%;height:100%"></canvas>
+    </div>
+    <br>
+    <br>
+    <button id="randomizeData">Randomize Data</button>
+    <button id="addDataset">Add Dataset</button>
+    <button id="removeDataset">Remove Dataset</button>
+    <button id="addData">Add Data</button>
+    <button id="removeData">Remove Data</button>
+    <div>
+        <h3>Legend</h3>
+        <div id="legendContainer">
+        </div>
+    </div>
+    <script>
+        var randomScalingFactor = function() {
+            return Math.round(Math.random() * 100 * (Math.random() > 0.5 ? -1 : 1));
+        };
+        var randomColorFactor = function() {
+            return Math.round(Math.random() * 255);
+        };
+        var randomColor = function(opacity) {
+            return 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',' + (opacity || '.3') + ')';
+        };
+
+        var config = {
+            type: 'line',
+            data: {
+                labels: ["January", "February", "March", "April", "May", "June", "July"],
+                datasets: [{
+                    label: "My First dataset",
+                    data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
+                    fill: false,
+                    borderDash: [5, 5],
+                }, {
+                    label: "My Second dataset",
+                    data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
+                }]
+            },
+            options: {
+                responsive: true,
+                tooltips: {
+                    mode: 'label',
+                    callbacks: {
+                        beforeTitle: function() {
+                            return '...beforeTitle';
+                        },
+                        afterTitle: function() {
+                            return '...afterTitle';
+                        },
+                        beforeBody: function() {
+                            return '...beforeBody';
+                        },
+                        afterBody: function() {
+                            return '...afterBody';
+                        },
+                        beforeFooter: function() {
+                            return '...beforeFooter';
+                        },
+                        footer: function() {
+                            return 'Footer';
+                        },
+                        afterFooter: function() {
+                            return '...afterFooter';
+                        },
+                    }
+                },
+                hover: {
+                    mode: 'label'
+                },
+                scales: {
+                    xAxes: [{
+                        display: true,
+                        scaleLabel: {
+                            show: true,
+                            labelString: 'Month'
+                        }
+                    }],
+                    yAxes: [{
+                        display: true,
+                        scaleLabel: {
+                            show: true,
+                            labelString: 'Value'
+                        }
+                    }]
+                }
+            }
+        };
+
+        $.each(config.data.datasets, function(i, dataset) {
+            dataset.borderColor = randomColor(0.4);
+            dataset.backgroundColor = randomColor(0.5);
+            dataset.pointBorderColor = randomColor(0.7);
+            dataset.pointBackgroundColor = randomColor(0.5);
+            dataset.pointBorderWidth = 1;
+        });
+
+        window.onload = function() {
+            var ctx = document.getElementById("canvas").getContext("2d");
+            window.myLine = new Chart(ctx, config);
+
+            updateLegend();
+        };
+
+        function updateLegend() {
+            $legendContainer = $('#legendContainer');
+            $legendContainer.empty();
+            $legendContainer.append(window.myLine.generateLegend());
+        }
+
+        $('#randomizeData').click(function() {
+            $.each(config.data.datasets, function(i, dataset) {
+                dataset.data = dataset.data.map(function() {
+                    return randomScalingFactor();
+                });
+
+            });
+
+            window.myLine.update();
+            updateLegend();
+        });
+
+        $('#addDataset').click(function() {
+            var newDataset = {
+                label: 'Dataset ' + config.data.datasets.length,
+                borderColor: randomColor(0.4),
+                backgroundColor: randomColor(0.5),
+                pointBorderColor: randomColor(0.7),
+                pointBackgroundColor: randomColor(0.5),
+                pointBorderWidth: 1,
+                data: [],
+            };
+
+            for (var index = 0; index < config.data.labels.length; ++index) {
+                newDataset.data.push(randomScalingFactor());
+            }
+
+            config.data.datasets.push(newDataset);
+            window.myLine.update();
+            updateLegend();
+        });
+
+        $('#addData').click(function() {
+            if (config.data.datasets.length > 0) {
+                config.data.labels.push('dataset #' + config.data.labels.length);
+
+                $.each(config.data.datasets, function(i, dataset) {
+                    dataset.data.push(randomScalingFactor());
+                });
+
+                window.myLine.update();
+                updateLegend();
+            }
+        });
+
+        $('#removeDataset').click(function() {
+            config.data.datasets.splice(0, 1);
+            window.myLine.update();
+            updateLegend();
+        });
+
+        $('#removeData').click(function() {
+            config.data.labels.splice(-1, 1); // remove the label first
+
+            config.data.datasets.forEach(function(dataset, datasetIndex) {
+                dataset.data.pop();
+            });
+
+            window.myLine.update();
+            updateLegend();
+        });
+    </script>
+</body>
+
+</html>

src/Chart.Bar.js

@@ -1,329 +0,0 @@
-(function(){
-	"use strict";
-
-	var root = this,
-		Chart = root.Chart,
-		helpers = Chart.helpers;
-
-
-	var defaultConfig = {
-		//Boolean - Whether the scale should start at zero, or an order of magnitude down from the lowest value
-		scaleBeginAtZero : true,
-
-		//Boolean - Whether grid lines are shown across the chart
-		scaleShowGridLines : true,
-
-		//String - Colour of the grid lines
-		scaleGridLineColor : "rgba(0,0,0,.05)",
-
-		//Number - Width of the grid lines
-		scaleGridLineWidth : 1,
-
-		//Boolean - Whether to show horizontal lines (except X axis)
-		scaleShowHorizontalLines: true,
-
-		//Boolean - Whether to show vertical lines (except Y axis)
-		scaleShowVerticalLines: true,
-
-		//Boolean - If there is a stroke on each bar
-		barShowStroke : true,
-
-		//Number - Pixel width of the bar stroke
-		barStrokeWidth : 2,
-
-		//Number - Spacing between each of the X value sets
-		barValueSpacing : 5,
-
-		//Number - Spacing between data sets within X values
-		barDatasetSpacing : 1,
-
-		//String - A legend template
-		legendTemplate : "<ul class=\"<%=name.toLowerCase()%>-legend\"><% for (var i=0; i<datasets.length; i++){%><li><span style=\"background-color:<%=datasets[i].fillColor%>\"></span><%if(datasets[i].label){%><%=datasets[i].label%><%}%></li><%}%></ul>"
-
-	};
-
-
-	Chart.Type.extend({
-		name: "Bar",
-		defaults : defaultConfig,
-		initialize:  function(data){
-
-			// Save data as a source for updating of values & methods
-			this.data = data;
-
-			//Expose options as a scope variable here so we can access it in the ScaleClass
-			var options = this.options;
-
-			this.ScaleClass = Chart.Scale.extend({
-				offsetGridLines : true,
-				calculateBarX : function(datasetCount, datasetIndex, barIndex){
-					//Reusable method for calculating the xPosition of a given bar based on datasetIndex & width of the bar
-					var xWidth = this.calculateBaseWidth(),
-						xAbsolute = this.calculateX(barIndex) - (xWidth/2),
-						barWidth = this.calculateBarWidth(datasetCount);
-
-					return xAbsolute + (barWidth * datasetIndex) + (datasetIndex * options.barDatasetSpacing) + barWidth/2;
-				},
-				calculateBaseWidth : function(){
-					return (this.calculateX(1) - this.calculateX(0)) - (2*options.barValueSpacing);
-				},
-				calculateBarWidth : function(datasetCount){
-					//The padding between datasets is to the right of each bar, providing that there are more than 1 dataset
-					var baseWidth = this.calculateBaseWidth() - ((datasetCount - 1) * options.barDatasetSpacing);
-
-					return (baseWidth / datasetCount);
-				}
-			});
-
-			this.datasets = [];
-
-			//Set up tooltip events on the chart
-			if (this.options.showTooltips){
-				helpers.bindEvents(this, this.options.tooltipEvents, function(evt){
-					var activeBars = (evt.type !== 'mouseout') ? this.getBarsAtEvent(evt) : [];
-
-					this.eachBars(function(bar){
-						bar.restore(['fillColor', 'strokeColor']);
-					});
-					helpers.each(activeBars, function(activeBar){
-						activeBar.fillColor = activeBar.highlightFill;
-						activeBar.strokeColor = activeBar.highlightStroke;
-					});
-					this.showTooltip(activeBars);
-				});
-			}
-
-			//Declare the extension of the default point, to cater for the options passed in to the constructor
-			this.BarClass = Chart.Rectangle.extend({
-				strokeWidth : this.options.barStrokeWidth,
-				showStroke : this.options.barShowStroke,
-				ctx : this.chart.ctx
-			});
-
-			//Iterate through each of the datasets, and build this into a property of the chart
-			helpers.each(data.datasets,function(dataset,datasetIndex){
-
-				var datasetObject = {
-					label : dataset.label || null,
-					fillColor : dataset.fillColor,
-					strokeColor : dataset.strokeColor,
-					bars : []
-				};
-
-				this.datasets.push(datasetObject);
-
-				helpers.each(dataset.data,function(dataPoint,index){
-					//Add a new point for each piece of data, passing any required data to draw.
-					datasetObject.bars.push(new this.BarClass({
-						value : dataPoint,
-						label : data.labels[index],
-						datasetLabel: dataset.label,
-						strokeColor : dataset.strokeColor,
-						fillColor : dataset.fillColor,
-						highlightFill : dataset.highlightFill || dataset.fillColor,
-						highlightStroke : dataset.highlightStroke || dataset.strokeColor
-					}));
-				},this);
-
-			},this);
-
-			this.buildScale(data.labels);
-
-			this.BarClass.prototype.base = this.scale.endPoint;
-
-			this.eachBars(function(bar, index, datasetIndex){
-				helpers.extend(bar, {
-					width : this.scale.calculateBarWidth(this.datasets.length),
-					x: this.scale.calculateBarX(this.datasets.length, datasetIndex, index),
-					y: this.scale.endPoint
-				});
-				bar.save();
-			}, this);
-
-			this.render();
-		},
-		update : function(){
-			//Iterate through each of the datasets, and build this into a property of the chart
-			helpers.each(this.data.datasets,function(dataset,datasetIndex){
-
-				helpers.extend(this.datasets[datasetIndex], {
-					label : dataset.label || null,
-					fillColor : dataset.fillColor,
-					strokeColor : dataset.strokeColor,
-				});
-
-				helpers.each(dataset.data,function(dataPoint,index){
-					helpers.extend(this.datasets[datasetIndex].bars[index], {
-						value : dataPoint,
-						label : this.data.labels[index],
-						datasetLabel: dataset.label,
-						strokeColor : dataset.strokeColor,
-						fillColor : dataset.fillColor,
-						highlightFill : dataset.highlightFill || dataset.fillColor,
-						highlightStroke : dataset.highlightStroke || dataset.strokeColor
-					});
-				},this);
-
-			},this);
-
-			this.scale.update();
-			// Reset any highlight colours before updating.
-			helpers.each(this.activeElements, function(activeElement){
-				activeElement.restore(['fillColor', 'strokeColor']);
-			});
-
-			this.eachBars(function(bar){
-				bar.save();
-			});
-			this.render();
-		},
-		eachBars : function(callback){
-			helpers.each(this.datasets,function(dataset, datasetIndex){
-				helpers.each(dataset.bars, callback, this, datasetIndex);
-			},this);
-		},
-		getBarsAtEvent : function(e){
-			var barsArray = [],
-				eventPosition = helpers.getRelativePosition(e),
-				datasetIterator = function(dataset){
-					barsArray.push(dataset.bars[barIndex]);
-				},
-				barIndex;
-
-			for (var datasetIndex = 0; datasetIndex < this.datasets.length; datasetIndex++) {
-				for (barIndex = 0; barIndex < this.datasets[datasetIndex].bars.length; barIndex++) {
-					if (this.datasets[datasetIndex].bars[barIndex].inRange(eventPosition.x,eventPosition.y)){
-						helpers.each(this.datasets, datasetIterator);
-						return barsArray;
-					}
-				}
-			}
-
-			return barsArray;
-		},
-		buildScale : function(labels){
-			var self = this;
-
-			var dataTotal = function(){
-				var values = [];
-				self.eachBars(function(bar){
-					values.push(bar.value);
-				});
-				return values;
-			};
-
-			var scaleOptions = {
-				templateString : this.options.scaleLabel,
-				height : this.chart.height,
-				width : this.chart.width,
-				ctx : this.chart.ctx,
-				textColor : this.options.scaleFontColor,
-				fontSize : this.options.scaleFontSize,
-				fontStyle : this.options.scaleFontStyle,
-				fontFamily : this.options.scaleFontFamily,
-				valuesCount : labels.length,
-				beginAtZero : this.options.scaleBeginAtZero,
-				integersOnly : this.options.scaleIntegersOnly,
-				calculateYRange: function(currentHeight){
-					var updatedRanges = helpers.calculateScaleRange(
-						dataTotal(),
-						currentHeight,
-						this.fontSize,
-						this.beginAtZero,
-						this.integersOnly
-					);
-					helpers.extend(this, updatedRanges);
-				},
-				xLabels : labels,
-				font : helpers.fontString(this.options.scaleFontSize, this.options.scaleFontStyle, this.options.scaleFontFamily),
-				lineWidth : this.options.scaleLineWidth,
-				lineColor : this.options.scaleLineColor,
-				showHorizontalLines : this.options.scaleShowHorizontalLines,
-				showVerticalLines : this.options.scaleShowVerticalLines,
-				gridLineWidth : (this.options.scaleShowGridLines) ? this.options.scaleGridLineWidth : 0,
-				gridLineColor : (this.options.scaleShowGridLines) ? this.options.scaleGridLineColor : "rgba(0,0,0,0)",
-				padding : (this.options.showScale) ? 0 : (this.options.barShowStroke) ? this.options.barStrokeWidth : 0,
-				showLabels : this.options.scaleShowLabels,
-				display : this.options.showScale
-			};
-
-			if (this.options.scaleOverride){
-				helpers.extend(scaleOptions, {
-					calculateYRange: helpers.noop,
-					steps: this.options.scaleSteps,
-					stepValue: this.options.scaleStepWidth,
-					min: this.options.scaleStartValue,
-					max: this.options.scaleStartValue + (this.options.scaleSteps * this.options.scaleStepWidth)
-				});
-			}
-
-			this.scale = new this.ScaleClass(scaleOptions);
-		},
-		addData : function(valuesArray,label){
-			//Map the values array for each of the datasets
-			helpers.each(valuesArray,function(value,datasetIndex){
-				//Add a new point for each piece of data, passing any required data to draw.
-				this.datasets[datasetIndex].bars.push(new this.BarClass({
-					value : value,
-					label : label,
-					datasetLabel: this.datasets[datasetIndex].label,
-					x: this.scale.calculateBarX(this.datasets.length, datasetIndex, this.scale.valuesCount+1),
-					y: this.scale.endPoint,
-					width : this.scale.calculateBarWidth(this.datasets.length),
-					base : this.scale.endPoint,
-					strokeColor : this.datasets[datasetIndex].strokeColor,
-					fillColor : this.datasets[datasetIndex].fillColor
-				}));
-			},this);
-
-			this.scale.addXLabel(label);
-			//Then re-render the chart.
-			this.update();
-		},
-		removeData : function(){
-			this.scale.removeXLabel();
-			//Then re-render the chart.
-			helpers.each(this.datasets,function(dataset){
-				dataset.bars.shift();
-			},this);
-			this.update();
-		},
-		reflow : function(){
-			helpers.extend(this.BarClass.prototype,{
-				y: this.scale.endPoint,
-				base : this.scale.endPoint
-			});
-			var newScaleProps = helpers.extend({
-				height : this.chart.height,
-				width : this.chart.width
-			});
-			this.scale.update(newScaleProps);
-		},
-		draw : function(ease){
-			var easingDecimal = ease || 1;
-			this.clear();
-
-			var ctx = this.chart.ctx;
-
-			this.scale.draw(easingDecimal);
-
-			//Draw all the bars for each dataset
-			helpers.each(this.datasets,function(dataset,datasetIndex){
-				helpers.each(dataset.bars,function(bar,index){
-					if (bar.hasValue()){
-						bar.base = this.scale.endPoint;
-						//Transition then draw
-						bar.transition({
-							x : this.scale.calculateBarX(this.datasets.length, datasetIndex, index),
-							y : this.scale.calculateY(bar.value),
-							width : this.scale.calculateBarWidth(this.datasets.length)
-						}, easingDecimal).draw();
-					}
-				},this);
-
-			},this);
-		}
-	});
-
-
-}).call(this);

src/Chart.Doughnut.js

@@ -1,212 +0,0 @@
-(function(){
-	"use strict";
-
-	var root = this,
-		Chart = root.Chart,
-		//Cache a local reference to Chart.helpers
-		helpers = Chart.helpers;
-
-	var defaultConfig = {
-		//Boolean - Whether we should show a stroke on each segment
-		segmentShowStroke : true,
-
-		//String - The colour of each segment stroke
-		segmentStrokeColor : "#fff",
-
-		//Number - The width of each segment stroke
-		segmentStrokeWidth : 2,
-
-		//The percentage of the chart that we cut out of the middle.
-		percentageInnerCutout : 50,
-
-		//Number - Amount of animation steps
-		animationSteps : 100,
-
-		//String - Animation easing effect
-		animationEasing : "easeOutBounce",
-
-		//Boolean - Whether we animate the rotation of the Doughnut
-		animateRotate : true,
-
-		//Boolean - Whether we animate scaling the Doughnut from the centre
-		animateScale : false,
-
-		//String - A legend template
-		legendTemplate : "<ul class=\"<%=name.toLowerCase()%>-legend\"><% for (var i=0; i<segments.length; i++){%><li><span style=\"background-color:<%=segments[i].fillColor%>\"></span><%if(segments[i].label){%><%=segments[i].label%><%}%></li><%}%></ul>"
-
-	};
-
-	Chart.Type.extend({
-		//Passing in a name registers this chart in the Chart namespace
-		name: "Doughnut",
-		//Providing a defaults will also register the deafults in the chart namespace
-		defaults : defaultConfig,
-		//Initialize is fired when the chart is initialized - Data is passed in as a parameter
-		//Config is automatically merged by the core of Chart.js, and is available at this.options
-		initialize:  function(data){
-
-			// Save data as a source for updating of values & methods
-			this.data = data;
-
-			//Declare segments as a static property to prevent inheriting across the Chart type prototype
-			this.segments = [];
-			this.outerRadius = (helpers.min([this.chart.width,this.chart.height]) -	this.options.segmentStrokeWidth/2)/2;
-
-			this.SegmentArc = Chart.Arc.extend({
-				ctx : this.chart.ctx,
-				x : this.chart.width/2,
-				y : this.chart.height/2
-			});
-
-			//Set up tooltip events on the chart
-			if (this.options.showTooltips){
-				helpers.bindEvents(this, this.options.tooltipEvents, function(evt){
-					var activeSegments = (evt.type !== 'mouseout') ? this.getSegmentsAtEvent(evt) : [];
-
-					helpers.each(this.segments,function(segment){
-						segment.restore(["fillColor"]);
-					});
-					helpers.each(activeSegments,function(activeSegment){
-						activeSegment.fillColor = activeSegment.highlightColor;
-					});
-					this.showTooltip(activeSegments);
-				});
-			}
-			this.calculateTotal(data);
-
-			helpers.each(data,function(datapoint, index){
-				if (!datapoint.color) {
-					datapoint.color = 'hsl(' + (360 * index / data.length) + ', 100%, 50%)';
-				}
-				this.addData(datapoint, index, true);
-			},this);
-
-			this.render();
-		},
-		getSegmentsAtEvent : function(e){
-			var segmentsArray = [];
-
-			var location = helpers.getRelativePosition(e);
-
-			helpers.each(this.segments,function(segment){
-				if (segment.inRange(location.x,location.y)) segmentsArray.push(segment);
-			},this);
-			return segmentsArray;
-		},
-		addData : function(segment, atIndex, silent){
-			var index = atIndex || this.segments.length;
-			this.segments.splice(index, 0, new this.SegmentArc({
-				value : segment.value,
-				outerRadius : (this.options.animateScale) ? 0 : this.outerRadius,
-				innerRadius : (this.options.animateScale) ? 0 : (this.outerRadius/100) * this.options.percentageInnerCutout,
-				fillColor : segment.color,
-				highlightColor : segment.highlight || segment.color,
-				showStroke : this.options.segmentShowStroke,
-				strokeWidth : this.options.segmentStrokeWidth,
-				strokeColor : this.options.segmentStrokeColor,
-				startAngle : Math.PI * 1.5,
-				circumference : (this.options.animateRotate) ? 0 : this.calculateCircumference(segment.value),
-				label : segment.label
-			}));
-			if (!silent){
-				this.reflow();
-				this.update();
-			}
-		},
-		calculateCircumference : function(value) {
-			if ( this.total > 0 ) {
-				return (Math.PI*2)*(value / this.total);
-			} else {
-				return 0;
-			}
-		},
-		calculateTotal : function(data){
-			this.total = 0;
-			helpers.each(data,function(segment){
-				this.total += Math.abs(segment.value);
-			},this);
-		},
-		update : function(){
-
-			// Map new data to data points
-			if(this.data.length == this.segments.length){
-				helpers.each(this.data, function(segment, i){
-					helpers.extend(this.segments[i], {
-						value : segment.value,
-						fillColor : segment.color,
-						highlightColor : segment.highlight || segment.color,
-						showStroke : this.options.segmentShowStroke,
-						strokeWidth : this.options.segmentStrokeWidth,
-						strokeColor : this.options.segmentStrokeColor,
-						label : segment.label
-					});
-				}, this);
-			} else{
-				// Data size changed without properly inserting, just redraw the chart
-				this.initialize(this.data);
-			}
-
-			this.calculateTotal(this.segments);
-
-			// Reset any highlight colours before updating.
-			helpers.each(this.activeElements, function(activeElement){
-				activeElement.restore(['fillColor']);
-			});
-
-			helpers.each(this.segments,function(segment){
-				segment.save();
-			});
-			this.render();
-		},
-
-		removeData: function(atIndex){
-			var indexToDelete = (helpers.isNumber(atIndex)) ? atIndex : this.segments.length-1;
-			this.segments.splice(indexToDelete, 1);
-			this.reflow();
-			this.update();
-		},
-
-		reflow : function(){
-			helpers.extend(this.SegmentArc.prototype,{
-				x : this.chart.width/2,
-				y : this.chart.height/2
-			});
-			this.outerRadius = (helpers.min([this.chart.width,this.chart.height]) -	this.options.segmentStrokeWidth/2)/2;
-			helpers.each(this.segments, function(segment){
-				segment.update({
-					outerRadius : this.outerRadius,
-					innerRadius : (this.outerRadius/100) * this.options.percentageInnerCutout
-				});
-			}, this);
-		},
-		draw : function(easeDecimal){
-			var animDecimal = (easeDecimal) ? easeDecimal : 1;
-			this.clear();
-			helpers.each(this.segments,function(segment,index){
-				segment.transition({
-					circumference : this.calculateCircumference(segment.value),
-					outerRadius : this.outerRadius,
-					innerRadius : (this.outerRadius/100) * this.options.percentageInnerCutout
-				},animDecimal);
-
-				segment.endAngle = segment.startAngle + segment.circumference;
-
-				segment.draw();
-				if (index === 0){
-					segment.startAngle = Math.PI * 1.5;
-				}
-				//Check to see if it's the last segment, if not get the next and update the start angle
-				if (index < this.segments.length-1){
-					this.segments[index+1].startAngle = segment.endAngle;
-				}
-			},this);
-
-		}
-	});
-
-	Chart.types.Doughnut.extend({
-		name : "Pie",
-		defaults : helpers.merge(defaultConfig,{percentageInnerCutout : 0})
-	});
-
-}).call(this);

src/Chart.Line.js

@@ -1,408 +0,0 @@
-(function(){
-	"use strict";
-
-	var root = this,
-		Chart = root.Chart,
-		helpers = Chart.helpers;
-
-	var defaultConfig = {
-
-		///Boolean - Whether grid lines are shown across the chart
-		scaleShowGridLines : true,
-
-		//String - Colour of the grid lines
-		scaleGridLineColor : "rgba(0,0,0,.05)",
-
-		//Number - Width of the grid lines
-		scaleGridLineWidth : 1,
-
-		//Boolean - Whether to show horizontal lines (except X axis)
-		scaleShowHorizontalLines: true,
-
-		//Boolean - Whether to show vertical lines (except Y axis)
-		scaleShowVerticalLines: true,
-
-		//Boolean - Whether the line is curved between points
-		bezierCurve : true,
-
-		//Number - Tension of the bezier curve between points
-		bezierCurveTension : 0.4,
-
-		//Boolean - Whether to show a dot for each point
-		pointDot : true,
-
-		//Number - Radius of each point dot in pixels
-		pointDotRadius : 4,
-
-		//Number - Pixel width of point dot stroke
-		pointDotStrokeWidth : 1,
-
-		//Number - amount extra to add to the radius to cater for hit detection outside the drawn point
-		pointHitDetectionRadius : 20,
-
-		//Boolean - Whether to show a stroke for datasets
-		datasetStroke : true,
-
-		//Number - Pixel width of dataset stroke
-		datasetStrokeWidth : 2,
-
-		//Boolean - Whether to fill the dataset with a colour
-		datasetFill : true,
-
-		//String - A legend template
-		legendTemplate : "<ul class=\"<%=name.toLowerCase()%>-legend\"><% for (var i=0; i<datasets.length; i++){%><li><span style=\"background-color:<%=datasets[i].strokeColor%>\"></span><%if(datasets[i].label){%><%=datasets[i].label%><%}%></li><%}%></ul>",
-
-		//Boolean - Whether to horizontally center the label and point dot inside the grid
-		offsetGridLines : false
-
-	};
-
-
-	Chart.Type.extend({
-		name: "Line",
-		defaults : defaultConfig,
-		initialize:  function(data){
-			// Save data as a source for updating of values & methods
-			this.data = data;
-
-			//Declare the extension of the default point, to cater for the options passed in to the constructor
-			this.PointClass = Chart.Point.extend({
-				offsetGridLines : this.options.offsetGridLines,
-				strokeWidth : this.options.pointDotStrokeWidth,
-				radius : this.options.pointDotRadius,
-				display: this.options.pointDot,
-				hitDetectionRadius : this.options.pointHitDetectionRadius,
-				ctx : this.chart.ctx,
-				inRange : function(mouseX){
-					return (Math.pow(mouseX-this.x, 2) < Math.pow(this.radius + this.hitDetectionRadius,2));
-				}
-			});
-
-			this.datasets = [];
-
-			//Set up tooltip events on the chart
-			if (this.options.showTooltips){
-				helpers.bindEvents(this, this.options.tooltipEvents, function(evt){
-					var activePoints = (evt.type !== 'mouseout') ? this.getPointsAtEvent(evt) : [];
-					this.eachPoints(function(point){
-						point.restore(['fillColor', 'strokeColor']);
-					});
-					helpers.each(activePoints, function(activePoint){
-						activePoint.fillColor = activePoint.highlightFill;
-						activePoint.strokeColor = activePoint.highlightStroke;
-					});
-					this.showTooltip(activePoints);
-				});
-			}
-
-			//Iterate through each of the datasets, and build this into a property of the chart
-			helpers.each(data.datasets,function(dataset){
-
-				var datasetObject = {
-					label : dataset.label || null,
-					fillColor : dataset.fillColor,
-					strokeColor : dataset.strokeColor,
-					pointColor : dataset.pointColor,
-					pointStrokeColor : dataset.pointStrokeColor,
-					points : []
-				};
-
-				this.datasets.push(datasetObject);
-
-
-				helpers.each(dataset.data,function(dataPoint,index){
-					//Add a new point for each piece of data, passing any required data to draw.
-					datasetObject.points.push(new this.PointClass({
-						value : dataPoint,
-						label : data.labels[index],
-						datasetLabel: dataset.label,
-						strokeColor : dataset.pointStrokeColor,
-						fillColor : dataset.pointColor,
-						highlightFill : dataset.pointHighlightFill || dataset.pointColor,
-						highlightStroke : dataset.pointHighlightStroke || dataset.pointStrokeColor
-					}));
-				},this);
-
-				this.buildScale(data.labels);
-
-
-				this.eachPoints(function(point, index){
-					helpers.extend(point, {
-						x: this.scale.calculateX(index),
-						y: this.scale.endPoint
-					});
-					point.save();
-				}, this);
-
-			},this);
-
-
-			this.render();
-		},
-		update : function(){
-			//Iterate through each of the datasets, and build this into a property of the chart
-			helpers.each(this.data.datasets,function(dataset,datasetIndex){
-
-				helpers.extend(this.datasets[datasetIndex], {
-					label : dataset.label || null,
-					fillColor : dataset.fillColor,
-					strokeColor : dataset.strokeColor,
-					pointColor : dataset.pointColor,
-					pointStrokeColor : dataset.pointStrokeColor,
-				});
-
-				helpers.each(dataset.data,function(dataPoint,index){
-					helpers.extend(this.datasets[datasetIndex].points[index], {
-						value : dataPoint,
-						label : this.data.labels[index],
-						datasetLabel: dataset.label,
-						strokeColor : dataset.pointStrokeColor,
-						fillColor : dataset.pointColor,
-						highlightFill : dataset.pointHighlightFill || dataset.pointColor,
-						highlightStroke : dataset.pointHighlightStroke || dataset.pointStrokeColor
-					});
-				},this);
-
-			},this);
-
-			this.scale.update();
-			// Reset any highlight colours before updating.
-			helpers.each(this.activeElements, function(activeElement){
-				activeElement.restore(['fillColor', 'strokeColor']);
-			});
-			this.eachPoints(function(point){
-				point.save();
-			});
-			this.render();
-		},
-		eachPoints : function(callback){
-			helpers.each(this.datasets,function(dataset){
-				helpers.each(dataset.points,callback,this);
-			},this);
-		},
-		getPointsAtEvent : function(e){
-			var pointsArray = [],
-				eventPosition = helpers.getRelativePosition(e);
-			helpers.each(this.datasets,function(dataset){
-				helpers.each(dataset.points,function(point){
-					if (point.inRange(eventPosition.x,eventPosition.y)) pointsArray.push(point);
-				});
-			},this);
-			return pointsArray;
-		},
-		buildScale : function(labels){
-			var self = this;
-
-			var dataTotal = function(){
-				var values = [];
-				self.eachPoints(function(point){
-					values.push(point.value);
-				});
-
-				return values;
-			};
-
-			var scaleOptions = {
-				templateString : this.options.scaleLabel,
-				height : this.chart.height,
-				width : this.chart.width,
-				ctx : this.chart.ctx,
-				textColor : this.options.scaleFontColor,
-				offsetGridLines : this.options.offsetGridLines,
-				fontSize : this.options.scaleFontSize,
-				fontStyle : this.options.scaleFontStyle,
-				fontFamily : this.options.scaleFontFamily,
-				valuesCount : labels.length,
-				beginAtZero : this.options.scaleBeginAtZero,
-				integersOnly : this.options.scaleIntegersOnly,
-				calculateYRange : function(currentHeight){
-					var updatedRanges = helpers.calculateScaleRange(
-						dataTotal(),
-						currentHeight,
-						this.fontSize,
-						this.beginAtZero,
-						this.integersOnly
-					);
-					helpers.extend(this, updatedRanges);
-				},
-				xLabels : labels,
-				font : helpers.fontString(this.options.scaleFontSize, this.options.scaleFontStyle, this.options.scaleFontFamily),
-				lineWidth : this.options.scaleLineWidth,
-				lineColor : this.options.scaleLineColor,
-				showHorizontalLines : this.options.scaleShowHorizontalLines,
-				showVerticalLines : this.options.scaleShowVerticalLines,
-				gridLineWidth : (this.options.scaleShowGridLines) ? this.options.scaleGridLineWidth : 0,
-				gridLineColor : (this.options.scaleShowGridLines) ? this.options.scaleGridLineColor : "rgba(0,0,0,0)",
-				padding: (this.options.showScale) ? 0 : this.options.pointDotRadius + this.options.pointDotStrokeWidth,
-				showLabels : this.options.scaleShowLabels,
-				display : this.options.showScale
-			};
-
-			if (this.options.scaleOverride){
-				helpers.extend(scaleOptions, {
-					calculateYRange: helpers.noop,
-					steps: this.options.scaleSteps,
-					stepValue: this.options.scaleStepWidth,
-					min: this.options.scaleStartValue,
-					max: this.options.scaleStartValue + (this.options.scaleSteps * this.options.scaleStepWidth)
-				});
-			}
-
-
-			this.scale = new Chart.Scale(scaleOptions);
-		},
-		addData : function(valuesArray,label){
-			//Map the values array for each of the datasets
-
-			helpers.each(valuesArray,function(value,datasetIndex){
-				//Add a new point for each piece of data, passing any required data to draw.
-				this.datasets[datasetIndex].points.push(new this.PointClass({
-					value : value,
-					label : label,
-					datasetLabel: this.datasets[datasetIndex].label,
-					x: this.scale.calculateX(this.scale.valuesCount+1),
-					y: this.scale.endPoint,
-					strokeColor : this.datasets[datasetIndex].pointStrokeColor,
-					fillColor : this.datasets[datasetIndex].pointColor
-				}));
-			},this);
-
-			this.scale.addXLabel(label);
-			//Then re-render the chart.
-			this.update();
-		},
-		removeData : function(){
-			this.scale.removeXLabel();
-			//Then re-render the chart.
-			helpers.each(this.datasets,function(dataset){
-				dataset.points.shift();
-			},this);
-			this.update();
-		},
-		reflow : function(){
-			var newScaleProps = helpers.extend({
-				height : this.chart.height,
-				width : this.chart.width
-			});
-			this.scale.update(newScaleProps);
-		},
-		draw : function(ease){
-			var easingDecimal = ease || 1;
-			this.clear();
-
-			var ctx = this.chart.ctx;
-
-			// Some helper methods for getting the next/prev points
-			var hasValue = function(item){
-				return item.value !== null;
-			},
-			nextPoint = function(point, collection, index){
-				return helpers.findNextWhere(collection, hasValue, index) || point;
-			},
-			previousPoint = function(point, collection, index){
-				return helpers.findPreviousWhere(collection, hasValue, index) || point;
-			};
-
-			this.scale.draw(easingDecimal);
-
-
-			helpers.each(this.datasets,function(dataset){
-				var pointsWithValues = helpers.where(dataset.points, hasValue);
-
-				//Transition each point first so that the line and point drawing isn't out of sync
-				//We can use this extra loop to calculate the control points of this dataset also in this loop
-
-				helpers.each(dataset.points, function(point, index){
-					if (point.hasValue()){
-						point.transition({
-							y : this.scale.calculateY(point.value),
-							x : this.scale.calculateX(index)
-						}, easingDecimal);
-					}
-				},this);
-
-
-				// Control points need to be calculated in a seperate loop, because we need to know the current x/y of the point
-				// This would cause issues when there is no animation, because the y of the next point would be 0, so beziers would be skewed
-				if (this.options.bezierCurve){
-					helpers.each(pointsWithValues, function(point, index){
-						var tension = (index > 0 && index < pointsWithValues.length - 1) ? this.options.bezierCurveTension : 0;
-						point.controlPoints = helpers.splineCurve(
-							previousPoint(point, pointsWithValues, index),
-							point,
-							nextPoint(point, pointsWithValues, index),
-							tension
-						);
-
-						// Prevent the bezier going outside of the bounds of the graph
-
-						// Cap puter bezier handles to the upper/lower scale bounds
-						if (point.controlPoints.outer.y > this.scale.endPoint){
-							point.controlPoints.outer.y = this.scale.endPoint;
-						}
-						else if (point.controlPoints.outer.y < this.scale.startPoint){
-							point.controlPoints.outer.y = this.scale.startPoint;
-						}
-
-						// Cap inner bezier handles to the upper/lower scale bounds
-						if (point.controlPoints.inner.y > this.scale.endPoint){
-							point.controlPoints.inner.y = this.scale.endPoint;
-						}
-						else if (point.controlPoints.inner.y < this.scale.startPoint){
-							point.controlPoints.inner.y = this.scale.startPoint;
-						}
-					},this);
-				}
-
-
-				//Draw the line between all the points
-				ctx.lineWidth = this.options.datasetStrokeWidth;
-				ctx.strokeStyle = dataset.strokeColor;
-				ctx.beginPath();
-
-				helpers.each(pointsWithValues, function(point, index){
-					if (index === 0){
-						ctx.moveTo(point.x, point.y);
-					}
-					else{
-						if(this.options.bezierCurve){
-							var previous = previousPoint(point, pointsWithValues, index);
-
-							ctx.bezierCurveTo(
-								previous.controlPoints.outer.x,
-								previous.controlPoints.outer.y,
-								point.controlPoints.inner.x,
-								point.controlPoints.inner.y,
-								point.x,
-								point.y
-							);
-						}
-						else{
-							ctx.lineTo(point.x,point.y);
-						}
-					}
-				}, this);
-
-				ctx.stroke();
-
-				if (this.options.datasetFill && pointsWithValues.length > 0){
-					//Round off the line by going to the base of the chart, back to the start, then fill.
-					ctx.lineTo(pointsWithValues[pointsWithValues.length - 1].x, this.scale.endPoint);
-					ctx.lineTo(pointsWithValues[0].x, this.scale.endPoint);
-					ctx.fillStyle = dataset.fillColor;
-					ctx.closePath();
-					ctx.fill();
-				}
-
-				//Now draw the points over the line
-				//A little inefficient double looping, but better than the line
-				//lagging behind the point positions
-				helpers.each(pointsWithValues,function(point){
-					point.draw();
-				});
-			},this);
-		}
-	});
-
-
-}).call(this);

src/Chart.PolarArea.js

@@ -1,269 +0,0 @@
-(function(){
-	"use strict";
-
-	var root = this,
-		Chart = root.Chart,
-		//Cache a local reference to Chart.helpers
-		helpers = Chart.helpers;
-
-	var defaultConfig = {
-		//Boolean - Show a backdrop to the scale label
-		scaleShowLabelBackdrop : true,
-
-		//String - The colour of the label backdrop
-		scaleBackdropColor : "rgba(255,255,255,0.75)",
-
-		// Boolean - Whether the scale should begin at zero
-		scaleBeginAtZero : true,
-
-		//Number - The backdrop padding above & below the label in pixels
-		scaleBackdropPaddingY : 2,
-
-		//Number - The backdrop padding to the side of the label in pixels
-		scaleBackdropPaddingX : 2,
-
-		//Boolean - Show line for each value in the scale
-		scaleShowLine : true,
-
-		//Boolean - Stroke a line around each segment in the chart
-		segmentShowStroke : true,
-
-		//String - The colour of the stroke on each segment.
-		segmentStrokeColor : "#fff",
-
-		//Number - The width of the stroke value in pixels
-		segmentStrokeWidth : 2,
-
-		//Number - Amount of animation steps
-		animationSteps : 100,
-
-		//String - Animation easing effect.
-		animationEasing : "easeOutBounce",
-
-		//Boolean - Whether to animate the rotation of the chart
-		animateRotate : true,
-
-		//Boolean - Whether to animate scaling the chart from the centre
-		animateScale : false,
-
-		//String - A legend template
-		legendTemplate : "<ul class=\"<%=name.toLowerCase()%>-legend\"><% for (var i=0; i<segments.length; i++){%><li><span style=\"background-color:<%=segments[i].fillColor%>\"></span><%if(segments[i].label){%><%=segments[i].label%><%}%></li><%}%></ul>"
-	};
-
-
-	Chart.Type.extend({
-		//Passing in a name registers this chart in the Chart namespace
-		name: "PolarArea",
-		//Providing a defaults will also register the deafults in the chart namespace
-		defaults : defaultConfig,
-		//Initialize is fired when the chart is initialized - Data is passed in as a parameter
-		//Config is automatically merged by the core of Chart.js, and is available at this.options
-		initialize:  function(data){
-			// Save data as a source for updating of values & methods
-			this.data = data;
-
-			this.segments = [];
-			//Declare segment class as a chart instance specific class, so it can share props for this instance
-			this.SegmentArc = Chart.Arc.extend({
-				showStroke : this.options.segmentShowStroke,
-				strokeWidth : this.options.segmentStrokeWidth,
-				strokeColor : this.options.segmentStrokeColor,
-				ctx : this.chart.ctx,
-				innerRadius : 0,
-				x : this.chart.width/2,
-				y : this.chart.height/2
-			});
-			this.scale = new Chart.RadialScale({
-				display: this.options.showScale,
-				fontStyle: this.options.scaleFontStyle,
-				fontSize: this.options.scaleFontSize,
-				fontFamily: this.options.scaleFontFamily,
-				fontColor: this.options.scaleFontColor,
-				showLabels: this.options.scaleShowLabels,
-				showLabelBackdrop: this.options.scaleShowLabelBackdrop,
-				backdropColor: this.options.scaleBackdropColor,
-				backdropPaddingY : this.options.scaleBackdropPaddingY,
-				backdropPaddingX: this.options.scaleBackdropPaddingX,
-				lineWidth: (this.options.scaleShowLine) ? this.options.scaleLineWidth : 0,
-				lineColor: this.options.scaleLineColor,
-				lineArc: true,
-				width: this.chart.width,
-				height: this.chart.height,
-				xCenter: this.chart.width/2,
-				yCenter: this.chart.height/2,
-				ctx : this.chart.ctx,
-				templateString: this.options.scaleLabel,
-				valuesCount: data.length
-			});
-
-			this.updateScaleRange(data);
-
-			this.scale.update();
-
-			helpers.each(data,function(segment,index){
-				this.addData(segment,index,true);
-			},this);
-
-			//Set up tooltip events on the chart
-			if (this.options.showTooltips){
-				helpers.bindEvents(this, this.options.tooltipEvents, function(evt){
-					var activeSegments = (evt.type !== 'mouseout') ? this.getSegmentsAtEvent(evt) : [];
-					helpers.each(this.segments,function(segment){
-						segment.restore(["fillColor"]);
-					});
-					helpers.each(activeSegments,function(activeSegment){
-						activeSegment.fillColor = activeSegment.highlightColor;
-					});
-					this.showTooltip(activeSegments);
-				});
-			}
-
-			this.render();
-		},
-		getSegmentsAtEvent : function(e){
-			var segmentsArray = [];
-
-			var location = helpers.getRelativePosition(e);
-
-			helpers.each(this.segments,function(segment){
-				if (segment.inRange(location.x,location.y)) segmentsArray.push(segment);
-			},this);
-			return segmentsArray;
-		},
-		addData : function(segment, atIndex, silent){
-			var index = atIndex || this.segments.length;
-
-			this.segments.splice(index, 0, new this.SegmentArc({
-				fillColor: segment.color,
-				highlightColor: segment.highlight || segment.color,
-				label: segment.label,
-				value: segment.value,
-				outerRadius: (this.options.animateScale) ? 0 : this.scale.calculateCenterOffset(segment.value),
-				circumference: (this.options.animateRotate) ? 0 : this.scale.getCircumference(),
-				startAngle: Math.PI * 1.5
-			}));
-			if (!silent){
-				this.reflow();
-				this.update();
-			}
-		},
-		removeData: function(atIndex){
-			var indexToDelete = (helpers.isNumber(atIndex)) ? atIndex : this.segments.length-1;
-			this.segments.splice(indexToDelete, 1);
-			this.reflow();
-			this.update();
-		},
-		calculateTotal: function(data){
-			this.total = 0;
-			helpers.each(data,function(segment){
-				this.total += segment.value;
-			},this);
-			this.scale.valuesCount = this.segments.length;
-		},
-		updateScaleRange: function(datapoints){
-			var valuesArray = [];
-			helpers.each(datapoints,function(segment){
-				valuesArray.push(segment.value);
-			});
-
-			var scaleSizes = (this.options.scaleOverride) ?
-				{
-					steps: this.options.scaleSteps,
-					stepValue: this.options.scaleStepWidth,
-					min: this.options.scaleStartValue,
-					max: this.options.scaleStartValue + (this.options.scaleSteps * this.options.scaleStepWidth)
-				} :
-				helpers.calculateScaleRange(
-					valuesArray,
-					helpers.min([this.chart.width, this.chart.height])/2,
-					this.options.scaleFontSize,
-					this.options.scaleBeginAtZero,
-					this.options.scaleIntegersOnly
-				);
-
-			helpers.extend(
-				this.scale,
-				scaleSizes,
-				{
-					size: helpers.min([this.chart.width, this.chart.height]),
-					xCenter: this.chart.width/2,
-					yCenter: this.chart.height/2
-				}
-			);
-
-		},
-		update : function(){
-
-			// Map new data to data points
-			if(this.data.length == this.segments.length){
-				helpers.each(this.data, function(segment, i){
-					helpers.extend(this.segments[i], {
-						fillColor: segment.color,
-						highlightColor: segment.highlight || segment.color,
-						label: segment.label,
-						value: segment.value,
-					});
-				},this);
-			} else{
-				// Data size changed without properly inserting, just redraw the chart
-				this.initialize(this.data);
-			}
-
-			this.calculateTotal(this.segments);
-
-			helpers.each(this.segments,function(segment){
-				segment.save();
-			});
-			
-			this.reflow();
-			this.render();
-		},
-		reflow : function(){
-			helpers.extend(this.SegmentArc.prototype,{
-				x : this.chart.width/2,
-				y : this.chart.height/2
-			});
-			this.updateScaleRange(this.segments);
-			this.scale.update();
-
-			helpers.extend(this.scale,{
-				xCenter: this.chart.width/2,
-				yCenter: this.chart.height/2
-			});
-
-			helpers.each(this.segments, function(segment){
-				segment.update({
-					outerRadius : this.scale.calculateCenterOffset(segment.value)
-				});
-			}, this);
-
-		},
-		draw : function(ease){
-			var easingDecimal = ease || 1;
-			//Clear & draw the canvas
-			this.clear();
-			helpers.each(this.segments,function(segment, index){
-				segment.transition({
-					circumference : this.scale.getCircumference(),
-					outerRadius : this.scale.calculateCenterOffset(segment.value)
-				},easingDecimal);
-
-				segment.endAngle = segment.startAngle + segment.circumference;
-
-				// If we've removed the first segment we need to set the first one to
-				// start at the top.
-				if (index === 0){
-					segment.startAngle = Math.PI * 1.5;
-				}
-
-				//Check to see if it's the last segment, if not get the next and update the start angle
-				if (index < this.segments.length - 1){
-					this.segments[index+1].startAngle = segment.endAngle;
-				}
-				segment.draw();
-			}, this);
-			this.scale.draw();
-		}
-	});
-
-}).call(this);

src/Chart.Radar.js

@@ -1,372 +0,0 @@
-(function(){
-	"use strict";
-
-	var root = this,
-		Chart = root.Chart,
-		helpers = Chart.helpers;
-
-
-
-	Chart.Type.extend({
-		name: "Radar",
-		defaults:{
-			//Boolean - Whether to show lines for each scale point
-			scaleShowLine : true,
-
-			//Boolean - Whether we show the angle lines out of the radar
-			angleShowLineOut : true,
-
-			//Boolean - Whether to show labels on the scale
-			scaleShowLabels : false,
-
-			// Boolean - Whether the scale should begin at zero
-			scaleBeginAtZero : true,
-
-			//String - Colour of the angle line
-			angleLineColor : "rgba(0,0,0,.1)",
-
-			//Number - Pixel width of the angle line
-			angleLineWidth : 1,
-
-			//String - Point label font declaration
-			pointLabelFontFamily : "'Arial'",
-
-			//String - Point label font weight
-			pointLabelFontStyle : "normal",
-
-			//Number - Point label font size in pixels
-			pointLabelFontSize : 10,
-
-			//String - Point label font colour
-			pointLabelFontColor : "#666",
-
-			//Boolean - Whether to show a dot for each point
-			pointDot : true,
-
-			//Number - Radius of each point dot in pixels
-			pointDotRadius : 3,
-
-			//Number - Pixel width of point dot stroke
-			pointDotStrokeWidth : 1,
-
-			//Number - amount extra to add to the radius to cater for hit detection outside the drawn point
-			pointHitDetectionRadius : 20,
-
-			//Boolean - Whether to show a stroke for datasets
-			datasetStroke : true,
-
-			//Number - Pixel width of dataset stroke
-			datasetStrokeWidth : 2,
-
-			//Boolean - Whether to fill the dataset with a colour
-			datasetFill : true,
-
-			//String - A legend template
-			legendTemplate : "<ul class=\"<%=name.toLowerCase()%>-legend\"><% for (var i=0; i<datasets.length; i++){%><li><span style=\"background-color:<%=datasets[i].strokeColor%>\"></span><%if(datasets[i].label){%><%=datasets[i].label%><%}%></li><%}%></ul>"
-
-		},
-
-		initialize: function(data){
-			// Save data as a source for updating of values & methods
-			this.data = data;
-
-			this.PointClass = Chart.Point.extend({
-				strokeWidth : this.options.pointDotStrokeWidth,
-				radius : this.options.pointDotRadius,
-				display: this.options.pointDot,
-				hitDetectionRadius : this.options.pointHitDetectionRadius,
-				ctx : this.chart.ctx
-			});
-
-			this.datasets = [];
-
-			this.buildScale(data);
-
-			//Set up tooltip events on the chart
-			if (this.options.showTooltips){
-				helpers.bindEvents(this, this.options.tooltipEvents, function(evt){
-					var activePointsCollection = (evt.type !== 'mouseout') ? this.getPointsAtEvent(evt) : [];
-
-					this.eachPoints(function(point){
-						point.restore(['fillColor', 'strokeColor']);
-					});
-					helpers.each(activePointsCollection, function(activePoint){
-						activePoint.fillColor = activePoint.highlightFill;
-						activePoint.strokeColor = activePoint.highlightStroke;
-					});
-
-					this.showTooltip(activePointsCollection);
-				});
-			}
-
-			//Iterate through each of the datasets, and build this into a property of the chart
-			helpers.each(data.datasets,function(dataset){
-
-				var datasetObject = {
-					label: dataset.label || null,
-					fillColor : dataset.fillColor,
-					strokeColor : dataset.strokeColor,
-					pointColor : dataset.pointColor,
-					pointStrokeColor : dataset.pointStrokeColor,
-					points : []
-				};
-
-				this.datasets.push(datasetObject);
-
-				helpers.each(dataset.data,function(dataPoint,index){
-					//Add a new point for each piece of data, passing any required data to draw.
-					var pointPosition;
-					if (!this.scale.animation){
-						pointPosition = this.scale.getPointPosition(index, this.scale.calculateCenterOffset(dataPoint));
-					}
-					datasetObject.points.push(new this.PointClass({
-						value : dataPoint,
-						label : data.labels[index],
-						datasetLabel: dataset.label,
-						x: (this.options.animation) ? this.scale.xCenter : pointPosition.x,
-						y: (this.options.animation) ? this.scale.yCenter : pointPosition.y,
-						strokeColor : dataset.pointStrokeColor,
-						fillColor : dataset.pointColor,
-						highlightFill : dataset.pointHighlightFill || dataset.pointColor,
-						highlightStroke : dataset.pointHighlightStroke || dataset.pointStrokeColor
-					}));
-				},this);
-
-			},this);
-
-			this.render();
-		},
-		eachPoints : function(callback){
-			helpers.each(this.datasets,function(dataset){
-				helpers.each(dataset.points,callback,this);
-			},this);
-		},
-
-		getPointsAtEvent : function(evt){
-			var mousePosition = helpers.getRelativePosition(evt),
-				fromCenter = helpers.getAngleFromPoint({
-					x: this.scale.xCenter,
-					y: this.scale.yCenter
-				}, mousePosition);
-
-			var anglePerIndex = (Math.PI * 2) /this.scale.valuesCount,
-				pointIndex = Math.round((fromCenter.angle - Math.PI * 1.5) / anglePerIndex),
-				activePointsCollection = [];
-
-			// If we're at the top, make the pointIndex 0 to get the first of the array.
-			if (pointIndex >= this.scale.valuesCount || pointIndex < 0){
-				pointIndex = 0;
-			}
-
-			if (fromCenter.distance <= this.scale.drawingArea){
-				helpers.each(this.datasets, function(dataset){
-					activePointsCollection.push(dataset.points[pointIndex]);
-				});
-			}
-
-			return activePointsCollection;
-		},
-
-		buildScale : function(data){
-			this.scale = new Chart.RadialScale({
-				display: this.options.showScale,
-				fontStyle: this.options.scaleFontStyle,
-				fontSize: this.options.scaleFontSize,
-				fontFamily: this.options.scaleFontFamily,
-				fontColor: this.options.scaleFontColor,
-				showLabels: this.options.scaleShowLabels,
-				showLabelBackdrop: this.options.scaleShowLabelBackdrop,
-				backdropColor: this.options.scaleBackdropColor,
-				backdropPaddingY : this.options.scaleBackdropPaddingY,
-				backdropPaddingX: this.options.scaleBackdropPaddingX,
-				lineWidth: (this.options.scaleShowLine) ? this.options.scaleLineWidth : 0,
-				lineColor: this.options.scaleLineColor,
-				angleLineColor : this.options.angleLineColor,
-				angleLineWidth : (this.options.angleShowLineOut) ? this.options.angleLineWidth : 0,
-				// Point labels at the edge of each line
-				pointLabelFontColor : this.options.pointLabelFontColor,
-				pointLabelFontSize : this.options.pointLabelFontSize,
-				pointLabelFontFamily : this.options.pointLabelFontFamily,
-				pointLabelFontStyle : this.options.pointLabelFontStyle,
-				height : this.chart.height,
-				width: this.chart.width,
-				xCenter: this.chart.width/2,
-				yCenter: this.chart.height/2,
-				ctx : this.chart.ctx,
-				templateString: this.options.scaleLabel,
-				labels: data.labels,
-				valuesCount: data.datasets[0].data.length
-			});
-
-			this.scale.setScaleSize();
-			this.updateScaleRange(data.datasets);
-			this.scale.buildYLabels();
-		},
-		updateScaleRange: function(datasets){
-			var valuesArray = (function(){
-				var totalDataArray = [];
-				helpers.each(datasets,function(dataset){
-					if (dataset.data){
-						totalDataArray = totalDataArray.concat(dataset.data);
-					}
-					else {
-						helpers.each(dataset.points, function(point){
-							totalDataArray.push(point.value);
-						});
-					}
-				});
-				return totalDataArray;
-			})();
-
-
-			var scaleSizes = (this.options.scaleOverride) ?
-				{
-					steps: this.options.scaleSteps,
-					stepValue: this.options.scaleStepWidth,
-					min: this.options.scaleStartValue,
-					max: this.options.scaleStartValue + (this.options.scaleSteps * this.options.scaleStepWidth)
-				} :
-				helpers.calculateScaleRange(
-					valuesArray,
-					helpers.min([this.chart.width, this.chart.height])/2,
-					this.options.scaleFontSize,
-					this.options.scaleBeginAtZero,
-					this.options.scaleIntegersOnly
-				);
-
-			helpers.extend(
-				this.scale,
-				scaleSizes
-			);
-
-		},
-		addData : function(valuesArray,label){
-			//Map the values array for each of the datasets
-			this.scale.valuesCount++;
-			helpers.each(valuesArray,function(value,datasetIndex){
-				var pointPosition = this.scale.getPointPosition(this.scale.valuesCount, this.scale.calculateCenterOffset(value));
-				this.datasets[datasetIndex].points.push(new this.PointClass({
-					value : value,
-					label : label,
-					datasetLabel: this.datasets[datasetIndex].label,
-					x: pointPosition.x,
-					y: pointPosition.y,
-					strokeColor : this.datasets[datasetIndex].pointStrokeColor,
-					fillColor : this.datasets[datasetIndex].pointColor
-				}));
-			},this);
-
-			this.scale.labels.push(label);
-
-			this.reflow();
-
-			this.update();
-		},
-		removeData : function(){
-			this.scale.valuesCount--;
-			this.scale.labels.shift();
-			helpers.each(this.datasets,function(dataset){
-				dataset.points.shift();
-			},this);
-			this.reflow();
-			this.update();
-		},
-		update : function(){
-			//Iterate through each of the datasets, and build this into a property of the chart
-			helpers.each(this.data.datasets,function(dataset,datasetIndex){
-
-				helpers.extend(this.datasets[datasetIndex], {
-					label : dataset.label || null,
-					fillColor : dataset.fillColor,
-					strokeColor : dataset.strokeColor,
-					pointColor : dataset.pointColor,
-					pointStrokeColor : dataset.pointStrokeColor,
-				});
-
-				helpers.each(dataset.data,function(dataPoint,index){
-					helpers.extend(this.datasets[datasetIndex].points[index], {
-						value : dataPoint,
-						label : this.data.labels[index],
-						datasetLabel: dataset.label,
-						strokeColor : dataset.pointStrokeColor,
-						fillColor : dataset.pointColor,
-						highlightFill : dataset.pointHighlightFill || dataset.pointColor,
-						highlightStroke : dataset.pointHighlightStroke || dataset.pointStrokeColor
-					});
-				},this);
-
-			},this);
-			
-			this.eachPoints(function(point){
-				point.save();
-			});
-			this.reflow();
-			this.render();
-		},
-		reflow: function(){
-			helpers.extend(this.scale, {
-				width : this.chart.width,
-				height: this.chart.height,
-				size : helpers.min([this.chart.width, this.chart.height]),
-				xCenter: this.chart.width/2,
-				yCenter: this.chart.height/2
-			});
-			this.updateScaleRange(this.datasets);
-			this.scale.setScaleSize();
-			this.scale.buildYLabels();
-		},
-		draw : function(ease){
-			var easeDecimal = ease || 1,
-				ctx = this.chart.ctx;
-			this.clear();
-			this.scale.draw();
-
-			helpers.each(this.datasets,function(dataset){
-
-				//Transition each point first so that the line and point drawing isn't out of sync
-				helpers.each(dataset.points,function(point,index){
-					if (point.hasValue()){
-						point.transition(this.scale.getPointPosition(index, this.scale.calculateCenterOffset(point.value)), easeDecimal);
-					}
-				},this);
-
-
-
-				//Draw the line between all the points
-				ctx.lineWidth = this.options.datasetStrokeWidth;
-				ctx.strokeStyle = dataset.strokeColor;
-				ctx.beginPath();
-				helpers.each(dataset.points,function(point,index){
-					if (index === 0){
-						ctx.moveTo(point.x,point.y);
-					}
-					else{
-						ctx.lineTo(point.x,point.y);
-					}
-				},this);
-				ctx.closePath();
-				ctx.stroke();
-
-				ctx.fillStyle = dataset.fillColor;
-				ctx.fill();
-
-				//Now draw the points over the line
-				//A little inefficient double looping, but better than the line
-				//lagging behind the point positions
-				helpers.each(dataset.points,function(point){
-					if (point.hasValue()){
-						point.draw();
-					}
-				});
-
-			},this);
-
-		}
-
-	});
-
-
-
-
-
-}).call(this);

src/charts/Chart.Bar.js

@@ -0,0 +1,14 @@
+(function() {
+	"use strict";
+
+	var root = this;
+	var Chart = root.Chart;
+	var helpers = Chart.helpers;
+
+	Chart.Bar = function(context, config) {
+		config.type = 'bar';
+
+		return new Chart(context, config);
+	};
+
+}).call(this);

src/charts/Chart.Bubble.js

@@ -0,0 +1,48 @@
+(function() {
+	"use strict";
+
+	var root = this;
+	var Chart = root.Chart;
+	var helpers = Chart.helpers;
+
+	var defaultConfig = {
+		hover: {
+			mode: 'single',
+		},
+
+		scales: {
+			xAxes: [{
+				type: "linear", // bubble should probably use a linear scale by default
+				position: "bottom",
+				id: "x-axis-0", // need an ID so datasets can reference the scale
+			}],
+			yAxes: [{
+				type: "linear",
+				position: "left",
+				id: "y-axis-0",
+			}],
+		},
+
+		tooltips: {
+			callbacks: {
+				title: function(tooltipItems, data) {
+					// Title doesn't make sense for scatter since we format the data as a point
+					return '';
+				},
+				label: function(tooltipItem, data) {
+					return '(' + tooltipItem.xLabel + ', ' + tooltipItem.yLabel + ')';
+				}
+			}
+		},
+
+	};
+
+	// Register the default config for this type
+	Chart.defaults.bubble = defaultConfig;
+
+	Chart.Bubble = function(context, config) {
+		config.type = 'bubble';
+		return new Chart(context, config);
+	};
+
+}).call(this);

src/charts/Chart.Doughnut.js

@@ -0,0 +1,14 @@
+(function() {
+	"use strict";
+
+	var root = this;
+	var Chart = root.Chart;
+	var helpers = Chart.helpers;
+
+	Chart.Doughnut = function(context, config) {
+		config.type = 'doughnut';
+
+		return new Chart(context, config);
+	};
+	
+}).call(this);

src/charts/Chart.Line.js

@@ -0,0 +1,14 @@
+(function() {
+	"use strict";
+
+	var root = this;
+	var Chart = root.Chart;
+	var helpers = Chart.helpers;
+
+	Chart.Line = function(context, config) {
+		config.type = 'line';
+
+		return new Chart(context, config);
+	};
+	
+}).call(this);

src/charts/Chart.PolarArea.js

@@ -0,0 +1,14 @@
+(function() {
+	"use strict";
+
+	var root = this;
+	var Chart = root.Chart;
+	var helpers = Chart.helpers;
+
+	Chart.PolarArea = function(context, config) {
+		config.type = 'polarArea';
+
+		return new Chart(context, config);
+	};
+	
+}).call(this);

src/charts/Chart.Radar.js

@@ -0,0 +1,19 @@
+(function() {
+	"use strict";
+
+	var root = this;
+	var Chart = root.Chart;
+	var helpers = Chart.helpers;
+
+	var defaultConfig = {
+		aspectRatio: 1,
+	};
+
+	Chart.Radar = function(context, config) {
+		config.options = helpers.configMerge(defaultConfig, config.options);
+		config.type = 'radar';
+
+		return new Chart(context, config);
+	};
+	
+}).call(this);

src/charts/Chart.Scatter.js

@@ -0,0 +1,50 @@
+(function() {
+	"use strict";
+
+	var root = this;
+	var Chart = root.Chart;
+	var helpers = Chart.helpers;
+
+	var defaultConfig = {
+		hover: {
+			mode: 'single',
+		},
+
+		scales: {
+			xAxes: [{
+				type: "linear", // scatter should not use a category axis
+				position: "bottom",
+				id: "x-axis-1", // need an ID so datasets can reference the scale
+			}],
+			yAxes: [{
+				type: "linear",
+				position: "left",
+				id: "y-axis-1",
+			}],
+		},
+
+		tooltips: {
+			callbacks: {
+				title: function(tooltipItems, data) {
+					// Title doesn't make sense for scatter since we format the data as a point
+					return '';
+				},
+				label: function(tooltipItem, data) {
+					return '(' + tooltipItem.xLabel + ', ' + tooltipItem.yLabel + ')';
+				}
+			}
+		},
+	};
+
+	// Register the default config for this type
+	Chart.defaults.scatter = defaultConfig;
+
+	// Scatter charts use line controllers
+	Chart.controllers.scatter = Chart.controllers.line;
+
+	Chart.Scatter = function(context, config) {
+		config.type = 'scatter';
+		return new Chart(context, config);
+	};
+	
+}).call(this);

src/controllers/controller.bar.js

@@ -0,0 +1,314 @@
+(function() {
+
+	"use strict";
+
+	var root = this,
+		Chart = root.Chart,
+		helpers = Chart.helpers;
+
+	Chart.defaults.bar = {
+		hover: {
+			mode: "label"
+		},
+
+		scales: {
+			xAxes: [{
+				type: "category",
+
+				// Specific to Bar Controller
+				categoryPercentage: 0.8,
+				barPercentage: 0.9,
+
+				// grid line settings
+				gridLines: {
+					offsetGridLines: true,
+				},
+			}],
+			yAxes: [{
+				type: "linear",
+			}],
+		},
+	};
+
+	Chart.controllers.bar = Chart.DatasetController.extend({
+		initialize: function(chart, datasetIndex) {
+			Chart.DatasetController.prototype.initialize.call(this, chart, datasetIndex);
+
+			// Use this to indicate that this is a bar dataset. 
+			this.getDataset().bar = true;
+		},
+		// Get the number of datasets that display bars. We use this to correctly calculate the bar width
+		getBarCount: function getBarCount() {
+			var barCount = 0;
+			helpers.each(this.chart.data.datasets, function(dataset) {
+				if (helpers.isDatasetVisible(dataset) && dataset.bar) {
+					++barCount;
+				}
+			}, this);
+			return barCount;
+		},
+
+		addElements: function() {
+			this.getDataset().metaData = this.getDataset().metaData || [];
+			helpers.each(this.getDataset().data, function(value, index) {
+				this.getDataset().metaData[index] = this.getDataset().metaData[index] || new Chart.elements.Rectangle({
+					_chart: this.chart.chart,
+					_datasetIndex: this.index,
+					_index: index,
+				});
+			}, this);
+		},
+		addElementAndReset: function(index) {
+			this.getDataset().metaData = this.getDataset().metaData || [];
+			var rectangle = new Chart.elements.Rectangle({
+				_chart: this.chart.chart,
+				_datasetIndex: this.index,
+				_index: index,
+			});
+
+			var numBars = this.getBarCount();
+
+			this.updateElement(rectangle, index, true, numBars);
+			this.getDataset().metaData.splice(index, 0, rectangle);
+		},
+
+		update: function update(reset) {
+			var numBars = this.getBarCount();
+
+			helpers.each(this.getDataset().metaData, function(rectangle, index) {
+				this.updateElement(rectangle, index, reset, numBars);
+			}, this);
+		},
+
+		updateElement: function updateElement(rectangle, index, reset, numBars) {
+
+			var xScale = this.getScaleForId(this.getDataset().xAxisID);
+			var yScale = this.getScaleForId(this.getDataset().yAxisID);
+
+			var yScalePoint;
+
+			if (yScale.min < 0 && yScale.max < 0) {
+				// all less than 0. use the top
+				yScalePoint = yScale.getPixelForValue(yScale.max);
+			} else if (yScale.min > 0 && yScale.max > 0) {
+				yScalePoint = yScale.getPixelForValue(yScale.min);
+			} else {
+				yScalePoint = yScale.getPixelForValue(0);
+			}
+
+			helpers.extend(rectangle, {
+				// Utility
+				_chart: this.chart.chart,
+				_xScale: xScale,
+				_yScale: yScale,
+				_datasetIndex: this.index,
+				_index: index,
+
+
+				// Desired view properties
+				_model: {
+					x: this.calculateBarX(index, this.index),
+					y: reset ? yScalePoint : this.calculateBarY(index, this.index),
+
+					// Tooltip
+					label: this.chart.data.labels[index],
+					datasetLabel: this.getDataset().label,
+
+					// Appearance
+					base: this.calculateBarBase(this.index, index),
+					width: this.calculateBarWidth(numBars),
+					backgroundColor: rectangle.custom && rectangle.custom.backgroundColor ? rectangle.custom.backgroundColor : helpers.getValueAtIndexOrDefault(this.getDataset().backgroundColor, index, this.chart.options.elements.rectangle.backgroundColor),
+					borderColor: rectangle.custom && rectangle.custom.borderColor ? rectangle.custom.borderColor : helpers.getValueAtIndexOrDefault(this.getDataset().borderColor, index, this.chart.options.elements.rectangle.borderColor),
+					borderWidth: rectangle.custom && rectangle.custom.borderWidth ? rectangle.custom.borderWidth : helpers.getValueAtIndexOrDefault(this.getDataset().borderWidth, index, this.chart.options.elements.rectangle.borderWidth),
+				},
+			});
+			rectangle.pivot();
+		},
+
+		calculateBarBase: function(datasetIndex, index) {
+
+			var xScale = this.getScaleForId(this.getDataset().xAxisID);
+			var yScale = this.getScaleForId(this.getDataset().yAxisID);
+
+			var base = 0;
+
+			if (yScale.options.stacked) {
+
+				var value = this.chart.data.datasets[datasetIndex].data[index];
+
+				if (value < 0) {
+					for (var i = 0; i < datasetIndex; i++) {
+						var negDS = this.chart.data.datasets[i];
+						if (helpers.isDatasetVisible(negDS) && negDS.yAxisID === yScale.id) {
+							base += negDS.data[index] < 0 ? negDS.data[index] : 0;
+						}
+					}
+				} else {
+					for (var j = 0; j < datasetIndex; j++) {
+						var posDS = this.chart.data.datasets[j];
+						if (helpers.isDatasetVisible(posDS) && posDS.yAxisID === yScale.id) {
+							base += posDS.data[index] > 0 ? posDS.data[index] : 0;
+						}
+					}
+				}
+
+				return yScale.getPixelForValue(base);
+			}
+
+			base = yScale.getPixelForValue(yScale.min);
+
+			if (yScale.beginAtZero || ((yScale.min <= 0 && yScale.max >= 0) || (yScale.min >= 0 && yScale.max <= 0))) {
+				base = yScale.getPixelForValue(0, 0);
+				//base += yScale.options.gridLines.lineWidth;
+			} else if (yScale.min < 0 && yScale.max < 0) {
+				// All values are negative. Use the top as the base
+				base = yScale.getPixelForValue(yScale.max);
+			}
+
+			return base;
+
+		},
+
+		getRuler: function() {
+
+			var xScale = this.getScaleForId(this.getDataset().xAxisID);
+			var yScale = this.getScaleForId(this.getDataset().yAxisID);
+			var datasetCount = this.getBarCount();
+
+			var tickWidth = (function() {
+				var min = xScale.getPixelForTick(1) - xScale.getPixelForTick(0);
+				for (var i = 2; i < this.getDataset().data.length; i++) {
+					min = Math.min(xScale.getPixelForTick(i) - xScale.getPixelForTick(i - 1), min);
+				}
+				return min;
+			}).call(this);
+			var categoryWidth = tickWidth * xScale.options.categoryPercentage;
+			var categorySpacing = (tickWidth - (tickWidth * xScale.options.categoryPercentage)) / 2;
+			var fullBarWidth = categoryWidth / datasetCount;
+			var barWidth = fullBarWidth * xScale.options.barPercentage;
+			var barSpacing = fullBarWidth - (fullBarWidth * xScale.options.barPercentage);
+
+			return {
+				datasetCount: datasetCount,
+				tickWidth: tickWidth,
+				categoryWidth: categoryWidth,
+				categorySpacing: categorySpacing,
+				fullBarWidth: fullBarWidth,
+				barWidth: barWidth,
+				barSpacing: barSpacing,
+			};
+		},
+
+		calculateBarWidth: function() {
+
+			var xScale = this.getScaleForId(this.getDataset().xAxisID);
+			var ruler = this.getRuler();
+
+			if (xScale.options.stacked) {
+				return ruler.categoryWidth;
+			}
+
+			return ruler.barWidth;
+
+		},
+
+		// Get bar index from the given dataset index accounting for the fact that not all bars are visible
+		getBarIndex: function(datasetIndex) {
+			var barIndex = 0;
+
+			for (var j = 0; j < datasetIndex; ++j) {
+				if (helpers.isDatasetVisible(this.chart.data.datasets[j]) && this.chart.data.datasets[j].bar) {
+					++barIndex;
+				}
+			}
+
+			return barIndex;
+		},
+
+		calculateBarX: function(index, datasetIndex) {
+
+			var yScale = this.getScaleForId(this.getDataset().yAxisID);
+			var xScale = this.getScaleForId(this.getDataset().xAxisID);
+			var barIndex = this.getBarIndex(datasetIndex);
+
+			var ruler = this.getRuler();
+			var leftTick = xScale.getPixelForValue(null, index, datasetIndex, this.chart.isCombo);
+			leftTick -= this.chart.isCombo ? (ruler.tickWidth / 2) : 0;
+
+			if (xScale.options.stacked) {
+				return leftTick + (ruler.categoryWidth / 2) + ruler.categorySpacing;
+			}
+
+			return leftTick +
+				(ruler.barWidth / 2) +
+				ruler.categorySpacing +
+				(ruler.barWidth * barIndex) +
+				(ruler.barSpacing / 2) +
+				(ruler.barSpacing * barIndex);
+		},
+
+		calculateBarY: function(index, datasetIndex) {
+
+			var xScale = this.getScaleForId(this.getDataset().xAxisID);
+			var yScale = this.getScaleForId(this.getDataset().yAxisID);
+
+			var value = this.getDataset().data[index];
+
+			if (yScale.options.stacked) {
+
+				var sumPos = 0,
+					sumNeg = 0;
+
+				for (var i = 0; i < datasetIndex; i++) {
+					var ds = this.chart.data.datasets[i];
+					if (helpers.isDatasetVisible(ds)) {
+						if (ds.data[index] < 0) {
+							sumNeg += ds.data[index] || 0;
+						} else {
+							sumPos += ds.data[index] || 0;
+						}
+					}
+				}
+
+				if (value < 0) {
+					return yScale.getPixelForValue(sumNeg + value);
+				} else {
+					return yScale.getPixelForValue(sumPos + value);
+				}
+
+				return yScale.getPixelForValue(value);
+			}
+
+			return yScale.getPixelForValue(value);
+		},
+
+		draw: function(ease) {
+			var easingDecimal = ease || 1;
+			helpers.each(this.getDataset().metaData, function(rectangle, index) {
+				rectangle.transition(easingDecimal).draw();
+			}, this);
+		},
+
+		setHoverStyle: function(rectangle) {
+			var dataset = this.chart.data.datasets[rectangle._datasetIndex];
+			var index = rectangle._index;
+
+			rectangle._model.backgroundColor = rectangle.custom && rectangle.custom.hoverBackgroundColor ? rectangle.custom.hoverBackgroundColor : helpers.getValueAtIndexOrDefault(dataset.hoverBackgroundColor, index, helpers.color(rectangle._model.backgroundColor).saturate(0.5).darken(0.1).rgbString());
+			rectangle._model.borderColor = rectangle.custom && rectangle.custom.hoverBorderColor ? rectangle.custom.hoverBorderColor : helpers.getValueAtIndexOrDefault(dataset.hoverBorderColor, index, helpers.color(rectangle._model.borderColor).saturate(0.5).darken(0.1).rgbString());
+			rectangle._model.borderWidth = rectangle.custom && rectangle.custom.hoverBorderWidth ? rectangle.custom.hoverBorderWidth : helpers.getValueAtIndexOrDefault(dataset.hoverBorderWidth, index, rectangle._model.borderWidth);
+		},
+
+		removeHoverStyle: function(rectangle) {
+			var dataset = this.chart.data.datasets[rectangle._datasetIndex];
+			var index = rectangle._index;
+
+			rectangle._model.backgroundColor = rectangle.custom && rectangle.custom.backgroundColor ? rectangle.custom.backgroundColor : helpers.getValueAtIndexOrDefault(this.getDataset().backgroundColor, index, this.chart.options.elements.rectangle.backgroundColor);
+			rectangle._model.borderColor = rectangle.custom && rectangle.custom.borderColor ? rectangle.custom.borderColor : helpers.getValueAtIndexOrDefault(this.getDataset().borderColor, index, this.chart.options.elements.rectangle.borderColor);
+			rectangle._model.borderWidth = rectangle.custom && rectangle.custom.borderWidth ? rectangle.custom.borderWidth : helpers.getValueAtIndexOrDefault(this.getDataset().borderWidth, index, this.chart.options.elements.rectangle.borderWidth);
+		}
+
+	});
+
+
+
+}).call(this);

src/controllers/controller.bubble.js

@@ -0,0 +1,161 @@
+(function() {
+
+	"use strict";
+
+	var root = this,
+		Chart = root.Chart,
+		helpers = Chart.helpers;
+
+	Chart.defaults.bubble = {
+		hover: {
+			mode: "single"
+		},
+
+		scales: {
+			xAxes: [{
+				type: "linear", // bubble should probably use a linear scale by default
+				position: "bottom",
+				id: "x-axis-0", // need an ID so datasets can reference the scale
+			}],
+			yAxes: [{
+				type: "linear",
+				position: "left",
+				id: "y-axis-0",
+			}],
+		},
+
+		tooltips: {
+			template: "(<%= value.x %>, <%= value.y %>, <%= value.r %>)",
+			multiTemplate: "<%if (datasetLabel){%><%=datasetLabel%>: <%}%>(<%= value.x %>, <%= value.y %>, <%= value.r %>)",
+		},
+	};
+
+
+	Chart.controllers.bubble = Chart.DatasetController.extend({
+		addElements: function() {
+
+			this.getDataset().metaData = this.getDataset().metaData || [];
+
+			helpers.each(this.getDataset().data, function(value, index) {
+				this.getDataset().metaData[index] = this.getDataset().metaData[index] || new Chart.elements.Point({
+					_chart: this.chart.chart,
+					_datasetIndex: this.index,
+					_index: index,
+				});
+			}, this);
+		},
+		addElementAndReset: function(index) {
+			this.getDataset().metaData = this.getDataset().metaData || [];
+			var point = new Chart.elements.Point({
+				_chart: this.chart.chart,
+				_datasetIndex: this.index,
+				_index: index,
+			});
+
+			// Reset the point
+			this.updateElement(point, index, true);
+
+			// Add to the points array
+			this.getDataset().metaData.splice(index, 0, point);
+		},
+
+		update: function update(reset) {
+			var points = this.getDataset().metaData;
+
+			var yScale = this.getScaleForId(this.getDataset().yAxisID);
+			var xScale = this.getScaleForId(this.getDataset().xAxisID);
+			var scaleBase;
+
+			if (yScale.min < 0 && yScale.max < 0) {
+				scaleBase = yScale.getPixelForValue(yScale.max);
+			} else if (yScale.min > 0 && yScale.max > 0) {
+				scaleBase = yScale.getPixelForValue(yScale.min);
+			} else {
+				scaleBase = yScale.getPixelForValue(0);
+			}
+
+			// Update Points
+			helpers.each(points, function(point, index) {
+				this.updateElement(point, index, reset);
+			}, this);
+
+		},
+
+		updateElement: function(point, index, reset) {
+			var yScale = this.getScaleForId(this.getDataset().yAxisID);
+			var xScale = this.getScaleForId(this.getDataset().xAxisID);
+			var scaleBase;
+
+			if (yScale.min < 0 && yScale.max < 0) {
+				scaleBase = yScale.getPixelForValue(yScale.max);
+			} else if (yScale.min > 0 && yScale.max > 0) {
+				scaleBase = yScale.getPixelForValue(yScale.min);
+			} else {
+				scaleBase = yScale.getPixelForValue(0);
+			}
+
+			helpers.extend(point, {
+				// Utility
+				_chart: this.chart.chart,
+				_xScale: xScale,
+				_yScale: yScale,
+				_datasetIndex: this.index,
+				_index: index,
+
+				// Desired view properties
+				_model: {
+					x: reset ? xScale.getPixelForDecimal(0.5) : xScale.getPixelForValue(this.getDataset().data[index], index, this.index, this.chart.isCombo),
+					y: reset ? scaleBase : yScale.getPixelForValue(this.getDataset().data[index], index, this.index),
+					// Appearance
+					radius: reset ? 0 : point.custom && point.custom.radius ? point.custom.radius : this.getRadius(this.getDataset().data[index]),
+					backgroundColor: point.custom && point.custom.backgroundColor ? point.custom.backgroundColor : helpers.getValueAtIndexOrDefault(this.getDataset().backgroundColor, index, this.chart.options.elements.point.backgroundColor),
+					borderColor: point.custom && point.custom.borderColor ? point.custom.borderColor : helpers.getValueAtIndexOrDefault(this.getDataset().borderColor, index, this.chart.options.elements.point.borderColor),
+					borderWidth: point.custom && point.custom.borderWidth ? point.custom.borderWidth : helpers.getValueAtIndexOrDefault(this.getDataset().borderWidth, index, this.chart.options.elements.point.borderWidth),
+
+					// Tooltip
+					hitRadius: point.custom && point.custom.hitRadius ? point.custom.hitRadius : helpers.getValueAtIndexOrDefault(this.getDataset().hitRadius, index, this.chart.options.elements.point.hitRadius),
+				},
+			});
+
+			point._model.skip = point.custom && point.custom.skip ? point.custom.skip : (isNaN(point._model.x) || isNaN(point._model.y));
+
+			point.pivot();
+		},
+
+		getRadius: function(value) {
+			return value.r || this.chart.options.elements.point.radius;
+		},
+
+		draw: function(ease) {
+			var easingDecimal = ease || 1;
+
+			// Transition and Draw the Points
+			helpers.each(this.getDataset().metaData, function(point, index) {
+				point.transition(easingDecimal);
+				point.draw();
+			}, this);
+
+		},
+
+		setHoverStyle: function(point) {
+			// Point
+			var dataset = this.chart.data.datasets[point._datasetIndex];
+			var index = point._index;
+
+			point._model.radius = point.custom && point.custom.hoverRadius ? point.custom.hoverRadius : (helpers.getValueAtIndexOrDefault(dataset.hoverRadius, index, this.chart.options.elements.point.hoverRadius)) + this.getRadius(this.getDataset().data[point._index]);
+			point._model.backgroundColor = point.custom && point.custom.hoverBackgroundColor ? point.custom.hoverBackgroundColor : helpers.getValueAtIndexOrDefault(dataset.hoverBackgroundColor, index, helpers.color(point._model.backgroundColor).saturate(0.5).darken(0.1).rgbString());
+			point._model.borderColor = point.custom && point.custom.hoverBorderColor ? point.custom.hoverBorderColor : helpers.getValueAtIndexOrDefault(dataset.hoverBorderColor, index, helpers.color(point._model.borderColor).saturate(0.5).darken(0.1).rgbString());
+			point._model.borderWidth = point.custom && point.custom.hoverBorderWidth ? point.custom.hoverBorderWidth : helpers.getValueAtIndexOrDefault(dataset.hoverBorderWidth, index, point._model.borderWidth);
+		},
+
+		removeHoverStyle: function(point) {
+			var dataset = this.chart.data.datasets[point._datasetIndex];
+			var index = point._index;
+
+			point._model.radius = point.custom && point.custom.radius ? point.custom.radius : this.getRadius(this.getDataset().data[point._index]);
+			point._model.backgroundColor = point.custom && point.custom.backgroundColor ? point.custom.backgroundColor : helpers.getValueAtIndexOrDefault(this.getDataset().backgroundColor, index, this.chart.options.elements.point.backgroundColor);
+			point._model.borderColor = point.custom && point.custom.borderColor ? point.custom.borderColor : helpers.getValueAtIndexOrDefault(this.getDataset().borderColor, index, this.chart.options.elements.point.borderColor);
+			point._model.borderWidth = point.custom && point.custom.borderWidth ? point.custom.borderWidth : helpers.getValueAtIndexOrDefault(this.getDataset().borderWidth, index, this.chart.options.elements.point.borderWidth);
+		}
+	});
+}).call(this);

src/controllers/controller.doughnut.js

@@ -0,0 +1,254 @@
+(function() {
+	"use strict";
+
+	var root = this,
+		Chart = root.Chart,
+		//Cache a local reference to Chart.helpers
+		helpers = Chart.helpers;
+
+	Chart.defaults.doughnut = {
+		animation: {
+			//Boolean - Whether we animate the rotation of the Doughnut
+			animateRotate: true,
+			//Boolean - Whether we animate scaling the Doughnut from the centre
+			animateScale: false,
+		},
+		aspectRatio: 1,
+		hover: {
+			mode: 'single'
+		},
+		legendCallback: function(chart) {
+			var text = [];
+			text.push('<ul class="' + chart.id + '-legend">');
+
+			if (chart.data.datasets.length) {
+				for (var i = 0; i < chart.data.datasets[0].data.length; ++i) {
+					text.push('<li><span style="background-color:' + chart.data.datasets[0].backgroundColor[i] + '">');
+					if (chart.data.labels[i]) {
+						text.push(chart.data.labels[i]);
+					}
+					text.push('</span></li>');
+				}
+			}
+
+			text.push('</ul>');
+			return text.join("");
+		},
+		legend: {
+			labels: {
+				generateLabels: function(data) {
+					return data.labels.map(function(label, i) {
+						return {
+							text: label,
+							fillStyle: data.datasets[0].backgroundColor[i],
+							hidden: isNaN(data.datasets[0].data[i]),
+
+							// Extra data used for toggling the correct item
+							index: i
+						};
+					});
+				}
+			},
+			onClick: function(e, legendItem) {
+				helpers.each(this.chart.data.datasets, function(dataset) {
+					dataset.metaHiddenData = dataset.metaHiddenData || [];
+					var idx = legendItem.index;
+
+					if (!isNaN(dataset.data[idx])) {
+						dataset.metaHiddenData[idx] = dataset.data[idx];
+						dataset.data[idx] = NaN;
+					} else if (!isNaN(dataset.metaHiddenData[idx])) {
+						dataset.data[idx] = dataset.metaHiddenData[idx];
+					}
+				});
+
+				this.chart.update();
+			}
+		},
+
+		//The percentage of the chart that we cut out of the middle.
+		cutoutPercentage: 50,
+
+		// Need to override these to give a nice default
+		tooltips: {
+			callbacks: {
+				title: function() { return '';},
+				label: function(tooltipItem, data) {
+					return data.labels[tooltipItem.index] + ': ' + data.datasets[tooltipItem.datasetIndex].data[tooltipItem.index];
+				}
+			}
+		}
+	};
+
+	Chart.defaults.pie = helpers.clone(Chart.defaults.doughnut);
+	helpers.extend(Chart.defaults.pie, {
+		cutoutPercentage: 0
+	});
+
+
+	Chart.controllers.doughnut = Chart.controllers.pie = Chart.DatasetController.extend({
+		linkScales: function() {
+			// no scales for doughnut
+		},
+
+		addElements: function() {
+			this.getDataset().metaData = this.getDataset().metaData || [];
+			helpers.each(this.getDataset().data, function(value, index) {
+				this.getDataset().metaData[index] = this.getDataset().metaData[index] || new Chart.elements.Arc({
+					_chart: this.chart.chart,
+					_datasetIndex: this.index,
+					_index: index,
+				});
+			}, this);
+		},
+		addElementAndReset: function(index, colorForNewElement) {
+			this.getDataset().metaData = this.getDataset().metaData || [];
+			var arc = new Chart.elements.Arc({
+				_chart: this.chart.chart,
+				_datasetIndex: this.index,
+				_index: index,
+			});
+
+			if (colorForNewElement && helpers.isArray(this.getDataset().backgroundColor)) {
+				this.getDataset().backgroundColor.splice(index, 0, colorForNewElement);
+			}
+
+			// Reset the point
+			this.updateElement(arc, index, true);
+
+			// Add to the points array
+			this.getDataset().metaData.splice(index, 0, arc);
+		},
+
+		getVisibleDatasetCount: function getVisibleDatasetCount() {
+			return helpers.where(this.chart.data.datasets, function(ds) { return helpers.isDatasetVisible(ds); }).length;
+		},
+
+		// Get index of the dataset in relation to the visible datasets. This allows determining the inner and outer radius correctly
+		getRingIndex: function getRingIndex(datasetIndex) {
+			var ringIndex = 0;
+
+			for (var j = 0; j < datasetIndex; ++j) {
+				if (helpers.isDatasetVisible(this.chart.data.datasets[j])) {
+					++ringIndex;
+				}
+			}
+
+			return ringIndex;
+		},
+
+		update: function update(reset) {
+			var minSize = Math.min(this.chart.chartArea.right - this.chart.chartArea.left, this.chart.chartArea.bottom - this.chart.chartArea.top);
+
+			this.chart.outerRadius = Math.max((minSize / 2) - this.chart.options.elements.arc.borderWidth / 2, 0);
+			this.chart.innerRadius = Math.max(this.chart.options.cutoutPercentage ? (this.chart.outerRadius / 100) * (this.chart.options.cutoutPercentage) : 1, 0);
+			this.chart.radiusLength = (this.chart.outerRadius - this.chart.innerRadius) / this.getVisibleDatasetCount();
+
+			this.getDataset().total = 0;
+			helpers.each(this.getDataset().data, function(value) {
+				if (!isNaN(value)) {
+					this.getDataset().total += Math.abs(value);
+				}
+			}, this);
+
+			this.outerRadius = this.chart.outerRadius - (this.chart.radiusLength * this.getRingIndex(this.index));
+			this.innerRadius = this.outerRadius - this.chart.radiusLength;
+
+			helpers.each(this.getDataset().metaData, function(arc, index) {
+				this.updateElement(arc, index, reset);
+			}, this);
+		},
+		updateElement: function(arc, index, reset) {
+			var centerX = (this.chart.chartArea.left + this.chart.chartArea.right) / 2;
+			var centerY = (this.chart.chartArea.top + this.chart.chartArea.bottom) / 2;
+
+			var resetModel = {
+				x: centerX,
+				y: centerY,
+				startAngle: Math.PI * -0.5, // use - PI / 2 instead of 3PI / 2 to make animations better. It means that we never deal with overflow during the transition function
+				endAngle: Math.PI * -0.5,
+				circumference: (this.chart.options.animation.animateRotate) ? 0 : this.calculateCircumference(this.getDataset().data[index]),
+				outerRadius: (this.chart.options.animation.animateScale) ? 0 : this.outerRadius,
+				innerRadius: (this.chart.options.animation.animateScale) ? 0 : this.innerRadius
+			};
+
+			helpers.extend(arc, {
+				// Utility
+				_chart: this.chart.chart,
+				_datasetIndex: this.index,
+				_index: index,
+
+				// Desired view properties
+				_model: reset ? resetModel : {
+					x: centerX,
+					y: centerY,
+					circumference: this.calculateCircumference(this.getDataset().data[index]),
+					outerRadius: this.outerRadius,
+					innerRadius: this.innerRadius,
+
+					backgroundColor: arc.custom && arc.custom.backgroundColor ? arc.custom.backgroundColor : helpers.getValueAtIndexOrDefault(this.getDataset().backgroundColor, index, this.chart.options.elements.arc.backgroundColor),
+					hoverBackgroundColor: arc.custom && arc.custom.hoverBackgroundColor ? arc.custom.hoverBackgroundColor : helpers.getValueAtIndexOrDefault(this.getDataset().hoverBackgroundColor, index, this.chart.options.elements.arc.hoverBackgroundColor),
+					borderWidth: arc.custom && arc.custom.borderWidth ? arc.custom.borderWidth : helpers.getValueAtIndexOrDefault(this.getDataset().borderWidth, index, this.chart.options.elements.arc.borderWidth),
+					borderColor: arc.custom && arc.custom.borderColor ? arc.custom.borderColor : helpers.getValueAtIndexOrDefault(this.getDataset().borderColor, index, this.chart.options.elements.arc.borderColor),
+
+					label: helpers.getValueAtIndexOrDefault(this.getDataset().label, index, this.chart.data.labels[index])
+				},
+			});
+
+			if (!reset) {
+
+				if (index === 0) {
+					arc._model.startAngle = Math.PI * -0.5; // use - PI / 2 instead of 3PI / 2 to make animations better. It means that we never deal with overflow during the transition function
+				} else {
+					arc._model.startAngle = this.getDataset().metaData[index - 1]._model.endAngle;
+				}
+
+				arc._model.endAngle = arc._model.startAngle + arc._model.circumference;
+
+
+				//Check to see if it's the last arc, if not get the next and update its start angle
+				if (index < this.getDataset().data.length - 1) {
+					this.getDataset().metaData[index + 1]._model.startAngle = arc._model.endAngle;
+				}
+			}
+
+			arc.pivot();
+		},
+
+		draw: function(ease) {
+			var easingDecimal = ease || 1;
+			helpers.each(this.getDataset().metaData, function(arc, index) {
+				arc.transition(easingDecimal).draw();
+			}, this);
+		},
+
+		setHoverStyle: function(arc) {
+			var dataset = this.chart.data.datasets[arc._datasetIndex];
+			var index = arc._index;
+
+			arc._model.backgroundColor = arc.custom && arc.custom.hoverBackgroundColor ? arc.custom.hoverBackgroundColor : helpers.getValueAtIndexOrDefault(dataset.hoverBackgroundColor, index, helpers.color(arc._model.backgroundColor).saturate(0.5).darken(0.1).rgbString());
+			arc._model.borderColor = arc.custom && arc.custom.hoverBorderColor ? arc.custom.hoverBorderColor : helpers.getValueAtIndexOrDefault(dataset.hoverBorderColor, index, helpers.color(arc._model.borderColor).saturate(0.5).darken(0.1).rgbString());
+			arc._model.borderWidth = arc.custom && arc.custom.hoverBorderWidth ? arc.custom.hoverBorderWidth : helpers.getValueAtIndexOrDefault(dataset.hoverBorderWidth, index, arc._model.borderWidth);
+		},
+
+		removeHoverStyle: function(arc) {
+			var dataset = this.chart.data.datasets[arc._datasetIndex];
+			var index = arc._index;
+
+			arc._model.backgroundColor = arc.custom && arc.custom.backgroundColor ? arc.custom.backgroundColor : helpers.getValueAtIndexOrDefault(this.getDataset().backgroundColor, index, this.chart.options.elements.arc.backgroundColor);
+			arc._model.borderColor = arc.custom && arc.custom.borderColor ? arc.custom.borderColor : helpers.getValueAtIndexOrDefault(this.getDataset().borderColor, index, this.chart.options.elements.arc.borderColor);
+			arc._model.borderWidth = arc.custom && arc.custom.borderWidth ? arc.custom.borderWidth : helpers.getValueAtIndexOrDefault(this.getDataset().borderWidth, index, this.chart.options.elements.arc.borderWidth);
+		},
+
+		calculateCircumference: function(value) {
+			if (this.getDataset().total > 0 && !isNaN(value)) {
+				return (Math.PI * 1.999999) * (value / this.getDataset().total);
+			} else {
+				return 0;
+			}
+		},
+
+	});
+
+
+}).call(this);

src/controllers/controller.line.js

@@ -0,0 +1,290 @@
+(function() {
+
+	"use strict";
+
+	var root = this,
+		Chart = root.Chart,
+		helpers = Chart.helpers;
+
+	Chart.defaults.line = {
+		hover: {
+			mode: "label"
+		},
+
+		scales: {
+			xAxes: [{
+				type: "category",
+				id: 'x-axis-0'
+			}],
+			yAxes: [{
+				type: "linear",
+				id: 'y-axis-0'
+			}],
+		},
+	};
+
+
+	Chart.controllers.line = Chart.DatasetController.extend({
+		addElements: function() {
+
+			this.getDataset().metaData = this.getDataset().metaData || [];
+
+			this.getDataset().metaDataset = this.getDataset().metaDataset || new Chart.elements.Line({
+				_chart: this.chart.chart,
+				_datasetIndex: this.index,
+				_points: this.getDataset().metaData,
+			});
+
+			helpers.each(this.getDataset().data, function(value, index) {
+				this.getDataset().metaData[index] = this.getDataset().metaData[index] || new Chart.elements.Point({
+					_chart: this.chart.chart,
+					_datasetIndex: this.index,
+					_index: index,
+				});
+			}, this);
+		},
+		addElementAndReset: function(index) {
+			this.getDataset().metaData = this.getDataset().metaData || [];
+			var point = new Chart.elements.Point({
+				_chart: this.chart.chart,
+				_datasetIndex: this.index,
+				_index: index,
+			});
+
+			// Reset the point
+			this.updateElement(point, index, true);
+
+			// Add to the points array
+			this.getDataset().metaData.splice(index, 0, point);
+
+			// Make sure bezier control points are updated
+			this.updateBezierControlPoints();
+		},
+
+		update: function update(reset) {
+			var line = this.getDataset().metaDataset;
+			var points = this.getDataset().metaData;
+
+			var yScale = this.getScaleForId(this.getDataset().yAxisID);
+			var xScale = this.getScaleForId(this.getDataset().xAxisID);
+			var scaleBase;
+
+			if (yScale.min < 0 && yScale.max < 0) {
+				scaleBase = yScale.getPixelForValue(yScale.max);
+			} else if (yScale.min > 0 && yScale.max > 0) {
+				scaleBase = yScale.getPixelForValue(yScale.min);
+			} else {
+				scaleBase = yScale.getPixelForValue(0);
+			}
+
+			// Update Line
+			helpers.extend(line, {
+				// Utility
+				_scale: yScale,
+				_datasetIndex: this.index,
+				// Data
+				_children: points,
+				// Model
+				_model: {
+					// Appearance
+					tension: line.custom && line.custom.tension ? line.custom.tension : helpers.getValueOrDefault(this.getDataset().tension, this.chart.options.elements.line.tension),
+					backgroundColor: line.custom && line.custom.backgroundColor ? line.custom.backgroundColor : (this.getDataset().backgroundColor || this.chart.options.elements.line.backgroundColor),
+					borderWidth: line.custom && line.custom.borderWidth ? line.custom.borderWidth : (this.getDataset().borderWidth || this.chart.options.elements.line.borderWidth),
+					borderColor: line.custom && line.custom.borderColor ? line.custom.borderColor : (this.getDataset().borderColor || this.chart.options.elements.line.borderColor),
+					borderCapStyle: line.custom && line.custom.borderCapStyle ? line.custom.borderCapStyle : (this.getDataset().borderCapStyle || this.chart.options.elements.line.borderCapStyle),
+					borderDash: line.custom && line.custom.borderDash ? line.custom.borderDash : (this.getDataset().borderDash || this.chart.options.elements.line.borderDash),
+					borderDashOffset: line.custom && line.custom.borderDashOffset ? line.custom.borderDashOffset : (this.getDataset().borderDashOffset || this.chart.options.elements.line.borderDashOffset),
+					borderJoinStyle: line.custom && line.custom.borderJoinStyle ? line.custom.borderJoinStyle : (this.getDataset().borderJoinStyle || this.chart.options.elements.line.borderJoinStyle),
+					fill: line.custom && line.custom.fill ? line.custom.fill : (this.getDataset().fill !== undefined ? this.getDataset().fill : this.chart.options.elements.line.fill),
+					// Scale
+					scaleTop: yScale.top,
+					scaleBottom: yScale.bottom,
+					scaleZero: scaleBase,
+				},
+			});
+			line.pivot();
+
+			// Update Points
+			helpers.each(points, function(point, index) {
+				this.updateElement(point, index, reset);
+			}, this);
+
+			this.updateBezierControlPoints();
+		},
+
+		getPointBackgroundColor: function(point, index) {
+			var backgroundColor = this.chart.options.elements.point.backgroundColor;
+			var dataset = this.getDataset();
+
+			if (point.custom && point.custom.backgroundColor) {
+				backgroundColor = point.custom.backgroundColor;
+			} else if (dataset.pointBackgroundColor) {
+				backgroundColor = helpers.getValueAtIndexOrDefault(dataset.pointBackgroundColor, index, backgroundColor);
+			} else if (dataset.backgroundColor) {
+				backgroundColor = dataset.backgroundColor;
+			}
+
+			return backgroundColor;
+		},
+		getPointBorderColor: function(point, index) {
+			var borderColor = this.chart.options.elements.point.borderColor;
+			var dataset = this.getDataset();
+
+			if (point.custom && point.custom.borderColor) {
+				borderColor = point.custom.borderColor;
+			} else if (dataset.pointBorderColor) {
+				borderColor = helpers.getValueAtIndexOrDefault(this.getDataset().pointBorderColor, index, borderColor);
+			} else if (dataset.borderColor) {
+				borderColor = dataset.borderColor;
+			}
+
+			return borderColor;
+		},
+		getPointBorderWidth: function(point, index) {
+			var borderWidth = this.chart.options.elements.point.borderWidth;
+			var dataset = this.getDataset();
+
+			if (point.custom && point.custom.borderWidth !== undefined) {
+				borderWidth = point.custom.borderWidth;
+			} else if (dataset.pointBorderWidth !== undefined) {
+				borderWidth = helpers.getValueAtIndexOrDefault(dataset.pointBorderWidth, index, borderWidth);
+			} else if (dataset.borderWidth !== undefined) {
+				borderWidth = dataset.borderWidth;
+			}
+
+			return borderWidth;
+		},
+
+		updateElement: function(point, index, reset) {
+			var yScale = this.getScaleForId(this.getDataset().yAxisID);
+			var xScale = this.getScaleForId(this.getDataset().xAxisID);
+			var scaleBase;
+
+			if (yScale.min < 0 && yScale.max < 0) {
+				scaleBase = yScale.getPixelForValue(yScale.max);
+			} else if (yScale.min > 0 && yScale.max > 0) {
+				scaleBase = yScale.getPixelForValue(yScale.min);
+			} else {
+				scaleBase = yScale.getPixelForValue(0);
+			}
+
+			helpers.extend(point, {
+				// Utility
+				_chart: this.chart.chart,
+				_xScale: xScale,
+				_yScale: yScale,
+				_datasetIndex: this.index,
+				_index: index,
+
+				// Desired view properties
+				_model: {
+					x: xScale.getPixelForValue(this.getDataset().data[index], index, this.index, this.chart.isCombo),
+					y: reset ? scaleBase : this.calculatePointY(this.getDataset().data[index], index, this.index, this.chart.isCombo),
+					// Appearance
+					tension: point.custom && point.custom.tension ? point.custom.tension : helpers.getValueOrDefault(this.getDataset().tension, this.chart.options.elements.line.tension),
+					radius: point.custom && point.custom.radius ? point.custom.radius : helpers.getValueAtIndexOrDefault(this.getDataset().radius, index, this.chart.options.elements.point.radius),
+					backgroundColor: this.getPointBackgroundColor(point, index),
+					borderColor: this.getPointBorderColor(point, index),
+					borderWidth: this.getPointBorderWidth(point, index),
+					// Tooltip
+					hitRadius: point.custom && point.custom.hitRadius ? point.custom.hitRadius : helpers.getValueAtIndexOrDefault(this.getDataset().hitRadius, index, this.chart.options.elements.point.hitRadius),
+				},
+			});
+
+			point._model.skip = point.custom && point.custom.skip ? point.custom.skip : (isNaN(point._model.x) || isNaN(point._model.y));
+		},
+
+		calculatePointY: function(value, index, datasetIndex, isCombo) {
+
+			var xScale = this.getScaleForId(this.getDataset().xAxisID);
+			var yScale = this.getScaleForId(this.getDataset().yAxisID);
+
+			if (yScale.options.stacked) {
+
+				var sumPos = 0,
+					sumNeg = 0;
+
+				for (var i = this.chart.data.datasets.length - 1; i > datasetIndex; i--) {
+					var ds = this.chart.data.datasets[i];
+					if (helpers.isDatasetVisible(ds)) {
+						if (ds.data[index] < 0) {
+							sumNeg += ds.data[index] || 0;
+						} else {
+							sumPos += ds.data[index] || 0;
+						}
+					}
+				}
+
+				if (value < 0) {
+					return yScale.getPixelForValue(sumNeg + value);
+				} else {
+					return yScale.getPixelForValue(sumPos + value);
+				}
+
+				return yScale.getPixelForValue(value);
+			}
+
+			return yScale.getPixelForValue(value);
+		},
+
+		updateBezierControlPoints: function() {
+			// Update bezier control points
+			helpers.each(this.getDataset().metaData, function(point, index) {
+				var controlPoints = helpers.splineCurve(
+					helpers.previousItem(this.getDataset().metaData, index)._model,
+					point._model,
+					helpers.nextItem(this.getDataset().metaData, index)._model,
+					point._model.tension
+				);
+
+				// Prevent the bezier going outside of the bounds of the graph
+				point._model.controlPointPreviousX = Math.max(Math.min(controlPoints.previous.x, this.chart.chartArea.right), this.chart.chartArea.left);
+				point._model.controlPointPreviousY = Math.max(Math.min(controlPoints.previous.y, this.chart.chartArea.bottom), this.chart.chartArea.top);
+
+				point._model.controlPointNextX = Math.max(Math.min(controlPoints.next.x, this.chart.chartArea.right), this.chart.chartArea.left);
+				point._model.controlPointNextY = Math.max(Math.min(controlPoints.next.y, this.chart.chartArea.bottom), this.chart.chartArea.top);
+
+				// Now pivot the point for animation
+				point.pivot();
+			}, this);
+		},
+
+		draw: function(ease) {
+			var easingDecimal = ease || 1;
+
+			// Transition Point Locations
+			helpers.each(this.getDataset().metaData, function(point, index) {
+				point.transition(easingDecimal);
+			}, this);
+
+			// Transition and Draw the line
+			this.getDataset().metaDataset.transition(easingDecimal).draw();
+
+			// Draw the points
+			helpers.each(this.getDataset().metaData, function(point) {
+				point.draw();
+			});
+		},
+
+		setHoverStyle: function(point) {
+			// Point
+			var dataset = this.chart.data.datasets[point._datasetIndex];
+			var index = point._index;
+
+			point._model.radius = point.custom && point.custom.hoverRadius ? point.custom.hoverRadius : helpers.getValueAtIndexOrDefault(dataset.pointHoverRadius, index, this.chart.options.elements.point.hoverRadius);
+			point._model.backgroundColor = point.custom && point.custom.hoverBackgroundColor ? point.custom.hoverBackgroundColor : helpers.getValueAtIndexOrDefault(dataset.pointHoverBackgroundColor, index, helpers.color(point._model.backgroundColor).saturate(0.5).darken(0.1).rgbString());
+			point._model.borderColor = point.custom && point.custom.hoverBorderColor ? point.custom.hoverBorderColor : helpers.getValueAtIndexOrDefault(dataset.pointHoverBorderColor, index, helpers.color(point._model.borderColor).saturate(0.5).darken(0.1).rgbString());
+			point._model.borderWidth = point.custom && point.custom.hoverBorderWidth ? point.custom.hoverBorderWidth : helpers.getValueAtIndexOrDefault(dataset.pointHoverBorderWidth, index, point._model.borderWidth);
+		},
+
+		removeHoverStyle: function(point) {
+			var dataset = this.chart.data.datasets[point._datasetIndex];
+			var index = point._index;
+
+			point._model.radius = point.custom && point.custom.radius ? point.custom.radius : helpers.getValueAtIndexOrDefault(this.getDataset().radius, index, this.chart.options.elements.point.radius);
+			point._model.backgroundColor = this.getPointBackgroundColor(point, index);
+			point._model.borderColor = this.getPointBorderColor(point, index);
+			point._model.borderWidth = this.getPointBorderWidth(point, index);
+		}
+	});
+}).call(this);

src/controllers/controller.polarArea.js

@@ -0,0 +1,232 @@
+(function() {
+	"use strict";
+
+	var root = this,
+		Chart = root.Chart,
+		//Cache a local reference to Chart.helpers
+		helpers = Chart.helpers;
+
+
+	Chart.defaults.polarArea = {
+
+		scale: {
+			type: "radialLinear",
+			lineArc: true, // so that lines are circular
+		},
+
+		//Boolean - Whether to animate the rotation of the chart
+		animateRotate: true,
+		animateScale: true,
+
+		aspectRatio: 1,
+		legendCallback: function(chart) {
+			var text = [];
+			text.push('<ul class="' + chart.id + '-legend">');
+
+			if (chart.data.datasets.length) {
+				for (var i = 0; i < chart.data.datasets[0].data.length; ++i) {
+					text.push('<li><span style="background-color:' + chart.data.datasets[0].backgroundColor[i] + '">');
+					if (chart.data.labels[i]) {
+						text.push(chart.data.labels[i]);
+					}
+					text.push('</span></li>');
+				}
+			}
+
+			text.push('</ul>');
+			return text.join("");
+		},
+		legend: {
+			labels: {
+				generateLabels: function(data) {
+					return data.labels.map(function(label, i) {
+						return {
+							text: label,
+							fillStyle: data.datasets[0].backgroundColor[i],
+							hidden: isNaN(data.datasets[0].data[i]),
+
+							// Extra data used for toggling the correct item
+							index: i
+						};
+					});
+				}
+			},
+			onClick: function(e, legendItem) {
+				helpers.each(this.chart.data.datasets, function(dataset) {
+					dataset.metaHiddenData = dataset.metaHiddenData || [];
+					var idx = legendItem.index;
+
+					if (!isNaN(dataset.data[idx])) {
+						dataset.metaHiddenData[idx] = dataset.data[idx];
+						dataset.data[idx] = NaN;
+					} else if (!isNaN(dataset.metaHiddenData[idx])) {
+						dataset.data[idx] = dataset.metaHiddenData[idx];
+					}
+				});
+
+				this.chart.update();
+			}
+		},
+
+		// Need to override these to give a nice default
+		tooltips: {
+			callbacks: {
+				title: function() { return ''; },
+				label: function(tooltipItem, data) {
+					return data.labels[tooltipItem.index] + ': ' + tooltipItem.yLabel;
+				}
+			}
+		}
+	};
+
+	Chart.controllers.polarArea = Chart.DatasetController.extend({
+		linkScales: function() {
+			// no scales for doughnut
+		},
+		addElements: function() {
+			this.getDataset().metaData = this.getDataset().metaData || [];
+			helpers.each(this.getDataset().data, function(value, index) {
+				this.getDataset().metaData[index] = this.getDataset().metaData[index] || new Chart.elements.Arc({
+					_chart: this.chart.chart,
+					_datasetIndex: this.index,
+					_index: index,
+				});
+			}, this);
+		},
+		addElementAndReset: function(index) {
+			this.getDataset().metaData = this.getDataset().metaData || [];
+			var arc = new Chart.elements.Arc({
+				_chart: this.chart.chart,
+				_datasetIndex: this.index,
+				_index: index,
+			});
+
+			// Reset the point
+			this.updateElement(arc, index, true);
+
+			// Add to the points array
+			this.getDataset().metaData.splice(index, 0, arc);
+		},
+		getVisibleDatasetCount: function getVisibleDatasetCount() {
+			return helpers.where(this.chart.data.datasets, function(ds) { return helpers.isDatasetVisible(ds); }).length;
+		},
+
+		update: function update(reset) {
+			var minSize = Math.min(this.chart.chartArea.right - this.chart.chartArea.left, this.chart.chartArea.bottom - this.chart.chartArea.top);
+			this.chart.outerRadius = Math.max((minSize - this.chart.options.elements.arc.borderWidth / 2) / 2, 0);
+			this.chart.innerRadius = Math.max(this.chart.options.cutoutPercentage ? (this.chart.outerRadius / 100) * (this.chart.options.cutoutPercentage) : 1, 0);
+			this.chart.radiusLength = (this.chart.outerRadius - this.chart.innerRadius) / this.getVisibleDatasetCount();
+
+			this.getDataset().total = 0;
+			helpers.each(this.getDataset().data, function(value) {
+				this.getDataset().total += Math.abs(value);
+			}, this);
+
+			this.outerRadius = this.chart.outerRadius - (this.chart.radiusLength * this.index);
+			this.innerRadius = this.outerRadius - this.chart.radiusLength;
+
+			helpers.each(this.getDataset().metaData, function(arc, index) {
+				this.updateElement(arc, index, reset);
+			}, this);
+		},
+
+		updateElement: function(arc, index, reset) {
+			var circumference = this.calculateCircumference(this.getDataset().data[index]);
+			var centerX = (this.chart.chartArea.left + this.chart.chartArea.right) / 2;
+			var centerY = (this.chart.chartArea.top + this.chart.chartArea.bottom) / 2;
+
+			// If there is NaN data before us, we need to calculate the starting angle correctly. 
+			// We could be way more efficient here, but its unlikely that the polar area chart will have a lot of data
+			var notNullIndex = 0;
+			for (var i = 0; i < index; ++i) {
+				if (!isNaN(this.getDataset().data[i])) {
+					++notNullIndex;
+				}
+			}
+
+			var startAngle = (-0.5 * Math.PI) + (circumference * notNullIndex);
+			var endAngle = startAngle + circumference;
+
+			var resetModel = {
+				x: centerX,
+				y: centerY,
+				innerRadius: 0,
+				outerRadius: this.chart.options.animateScale ? 0 : this.chart.scale.getDistanceFromCenterForValue(this.getDataset().data[index]),
+				startAngle: this.chart.options.animateRotate ? Math.PI * -0.5 : startAngle,
+				endAngle: this.chart.options.animateRotate ? Math.PI * -0.5 : endAngle,
+
+				backgroundColor: arc.custom && arc.custom.backgroundColor ? arc.custom.backgroundColor : helpers.getValueAtIndexOrDefault(this.getDataset().backgroundColor, index, this.chart.options.elements.arc.backgroundColor),
+				hoverBackgroundColor: arc.custom && arc.custom.hoverBackgroundColor ? arc.custom.hoverBackgroundColor : helpers.getValueAtIndexOrDefault(this.getDataset().hoverBackgroundColor, index, this.chart.options.elements.arc.hoverBackgroundColor),
+				borderWidth: arc.custom && arc.custom.borderWidth ? arc.custom.borderWidth : helpers.getValueAtIndexOrDefault(this.getDataset().borderWidth, index, this.chart.options.elements.arc.borderWidth),
+				borderColor: arc.custom && arc.custom.borderColor ? arc.custom.borderColor : helpers.getValueAtIndexOrDefault(this.getDataset().borderColor, index, this.chart.options.elements.arc.borderColor),
+
+				label: helpers.getValueAtIndexOrDefault(this.chart.data.labels, index, this.chart.data.labels[index])
+			};
+
+			helpers.extend(arc, {
+				// Utility
+				_chart: this.chart.chart,
+				_datasetIndex: this.index,
+				_index: index,
+				_scale: this.chart.scale,
+
+				// Desired view properties
+				_model: reset ? resetModel : {
+					x: centerX,
+					y: centerY,
+					innerRadius: 0,
+					outerRadius: this.chart.scale.getDistanceFromCenterForValue(this.getDataset().data[index]),
+					startAngle: startAngle,
+					endAngle: endAngle,
+
+					backgroundColor: arc.custom && arc.custom.backgroundColor ? arc.custom.backgroundColor : helpers.getValueAtIndexOrDefault(this.getDataset().backgroundColor, index, this.chart.options.elements.arc.backgroundColor),
+					hoverBackgroundColor: arc.custom && arc.custom.hoverBackgroundColor ? arc.custom.hoverBackgroundColor : helpers.getValueAtIndexOrDefault(this.getDataset().hoverBackgroundColor, index, this.chart.options.elements.arc.hoverBackgroundColor),
+					borderWidth: arc.custom && arc.custom.borderWidth ? arc.custom.borderWidth : helpers.getValueAtIndexOrDefault(this.getDataset().borderWidth, index, this.chart.options.elements.arc.borderWidth),
+					borderColor: arc.custom && arc.custom.borderColor ? arc.custom.borderColor : helpers.getValueAtIndexOrDefault(this.getDataset().borderColor, index, this.chart.options.elements.arc.borderColor),
+
+					label: helpers.getValueAtIndexOrDefault(this.chart.data.labels, index, this.chart.data.labels[index])
+				},
+			});
+
+			arc.pivot();
+		},
+
+		draw: function(ease) {
+			var easingDecimal = ease || 1;
+			helpers.each(this.getDataset().metaData, function(arc, index) {
+				arc.transition(easingDecimal).draw();
+			}, this);
+		},
+
+		setHoverStyle: function(arc) {
+			var dataset = this.chart.data.datasets[arc._datasetIndex];
+			var index = arc._index;
+
+			arc._model.backgroundColor = arc.custom && arc.custom.hoverBackgroundColor ? arc.custom.hoverBackgroundColor : helpers.getValueAtIndexOrDefault(dataset.hoverBackgroundColor, index, helpers.color(arc._model.backgroundColor).saturate(0.5).darken(0.1).rgbString());
+			arc._model.borderColor = arc.custom && arc.custom.hoverBorderColor ? arc.custom.hoverBorderColor : helpers.getValueAtIndexOrDefault(dataset.hoverBorderColor, index, helpers.color(arc._model.borderColor).saturate(0.5).darken(0.1).rgbString());
+			arc._model.borderWidth = arc.custom && arc.custom.hoverBorderWidth ? arc.custom.hoverBorderWidth : helpers.getValueAtIndexOrDefault(dataset.borderWidth, index, arc._model.borderWidth);
+		},
+
+		removeHoverStyle: function(arc) {
+			var dataset = this.chart.data.datasets[arc._datasetIndex];
+			var index = arc._index;
+
+			arc._model.backgroundColor = arc.custom && arc.custom.backgroundColor ? arc.custom.backgroundColor : helpers.getValueAtIndexOrDefault(this.getDataset().backgroundColor, index, this.chart.options.elements.arc.backgroundColor);
+			arc._model.borderColor = arc.custom && arc.custom.borderColor ? arc.custom.borderColor : helpers.getValueAtIndexOrDefault(this.getDataset().borderColor, index, this.chart.options.elements.arc.borderColor);
+			arc._model.borderWidth = arc.custom && arc.custom.borderWidth ? arc.custom.borderWidth : helpers.getValueAtIndexOrDefault(this.getDataset().borderWidth, index, this.chart.options.elements.arc.borderWidth);
+		},
+
+		calculateCircumference: function(value) {
+			if (isNaN(value)) {
+				return 0;
+			} else {
+				// Count the number of NaN values 
+				var numNaN = helpers.where(this.getDataset().data, function(data) {
+					return isNaN(data);
+				}).length;
+
+				return (2 * Math.PI) / (this.getDataset().data.length - numNaN);
+			}
+		}
+	});
+}).call(this);

src/controllers/controller.radar.js

@@ -0,0 +1,202 @@
+(function() {
+	"use strict";
+
+	var root = this,
+		Chart = root.Chart,
+		helpers = Chart.helpers;
+
+
+
+	Chart.defaults.radar = {
+		scale: {
+			type: "radialLinear",
+		},
+		elements: {
+			line: {
+				tension: 0, // no bezier in radar
+			}
+		},
+	};
+
+	Chart.controllers.radar = Chart.DatasetController.extend({
+		linkScales: function() {
+			// No need. Single scale only
+		},
+
+		addElements: function() {
+
+			this.getDataset().metaData = this.getDataset().metaData || [];
+
+			this.getDataset().metaDataset = this.getDataset().metaDataset || new Chart.elements.Line({
+				_chart: this.chart.chart,
+				_datasetIndex: this.index,
+				_points: this.getDataset().metaData,
+				_loop: true
+			});
+
+			helpers.each(this.getDataset().data, function(value, index) {
+				this.getDataset().metaData[index] = this.getDataset().metaData[index] || new Chart.elements.Point({
+					_chart: this.chart.chart,
+					_datasetIndex: this.index,
+					_index: index,
+					_model: {
+						x: 0, //xScale.getPixelForValue(null, index, true),
+						y: 0, //this.chartArea.bottom,
+					},
+				});
+			}, this);
+		},
+		addElementAndReset: function(index) {
+			this.getDataset().metaData = this.getDataset().metaData || [];
+			var point = new Chart.elements.Point({
+				_chart: this.chart.chart,
+				_datasetIndex: this.index,
+				_index: index,
+			});
+
+			// Reset the point
+			this.updateElement(point, index, true);
+
+			// Add to the points array
+			this.getDataset().metaData.splice(index, 0, point);
+
+			// Make sure bezier control points are updated
+			this.updateBezierControlPoints();
+		},
+
+		update: function update(reset) {
+
+			var line = this.getDataset().metaDataset;
+			var points = this.getDataset().metaData;
+
+			var scale = this.chart.scale;
+			var scaleBase;
+
+			if (scale.min < 0 && scale.max < 0) {
+				scaleBase = scale.getPointPositionForValue(0, scale.max);
+			} else if (scale.min > 0 && scale.max > 0) {
+				scaleBase = scale.getPointPositionForValue(0, scale.min);
+			} else {
+				scaleBase = scale.getPointPositionForValue(0, 0);
+			}
+
+			helpers.extend(this.getDataset().metaDataset, {
+				// Utility
+				_datasetIndex: this.index,
+				// Data
+				_children: this.getDataset().metaData,
+				// Model
+				_model: {
+					// Appearance
+					tension: helpers.getValueOrDefault(this.getDataset().tension, this.chart.options.elements.line.tension),
+					backgroundColor: this.getDataset().backgroundColor || this.chart.options.elements.line.backgroundColor,
+					borderWidth: this.getDataset().borderWidth || this.chart.options.elements.line.borderWidth,
+					borderColor: this.getDataset().borderColor || this.chart.options.elements.line.borderColor,
+					fill: this.getDataset().fill !== undefined ? this.getDataset().fill : this.chart.options.elements.line.fill, // use the value from the this.getDataset() if it was provided. else fall back to the default
+
+					// Scale
+					scaleTop: scale.top,
+					scaleBottom: scale.bottom,
+					scaleZero: scaleBase,
+				},
+			});
+
+			this.getDataset().metaDataset.pivot();
+
+			// Update Points
+			helpers.each(points, function(point, index) {
+				this.updateElement(point, index, reset);
+			}, this);
+
+
+			// Update bezier control points
+			this.updateBezierControlPoints();
+		},
+		updateElement: function(point, index, reset) {
+			var pointPosition = this.chart.scale.getPointPositionForValue(index, this.getDataset().data[index]);
+
+			helpers.extend(point, {
+				// Utility
+				_datasetIndex: this.index,
+				_index: index,
+				_scale: this.chart.scale,
+
+				// Desired view properties
+				_model: {
+					x: reset ? this.chart.scale.xCenter : pointPosition.x, // value not used in dataset scale, but we want a consistent API between scales
+					y: reset ? this.chart.scale.yCenter : pointPosition.y,
+
+					// Appearance
+					tension: point.custom && point.custom.tension ? point.custom.tension : helpers.getValueOrDefault(this.getDataset().tension, this.chart.options.elements.line.tension),
+					radius: point.custom && point.custom.radius ? point.custom.pointRadius : helpers.getValueAtIndexOrDefault(this.getDataset().pointRadius, index, this.chart.options.elements.point.radius),
+					backgroundColor: point.custom && point.custom.backgroundColor ? point.custom.backgroundColor : helpers.getValueAtIndexOrDefault(this.getDataset().pointBackgroundColor, index, this.chart.options.elements.point.backgroundColor),
+					borderColor: point.custom && point.custom.borderColor ? point.custom.borderColor : helpers.getValueAtIndexOrDefault(this.getDataset().pointBorderColor, index, this.chart.options.elements.point.borderColor),
+					borderWidth: point.custom && point.custom.borderWidth ? point.custom.borderWidth : helpers.getValueAtIndexOrDefault(this.getDataset().pointBorderWidth, index, this.chart.options.elements.point.borderWidth),
+
+					// Tooltip
+					hitRadius: point.custom && point.custom.hitRadius ? point.custom.hitRadius : helpers.getValueAtIndexOrDefault(this.getDataset().hitRadius, index, this.chart.options.elements.point.hitRadius),
+				},
+			});
+
+			point._model.skip = point.custom && point.custom.skip ? point.custom.skip : (isNaN(point._model.x) || isNaN(point._model.y));
+		},
+		updateBezierControlPoints: function() {
+			helpers.each(this.getDataset().metaData, function(point, index) {
+				var controlPoints = helpers.splineCurve(
+					helpers.previousItem(this.getDataset().metaData, index, true)._model,
+					point._model,
+					helpers.nextItem(this.getDataset().metaData, index, true)._model,
+					point._model.tension
+				);
+
+				// Prevent the bezier going outside of the bounds of the graph
+				point._model.controlPointPreviousX = Math.max(Math.min(controlPoints.previous.x, this.chart.chartArea.right), this.chart.chartArea.left);
+				point._model.controlPointPreviousY = Math.max(Math.min(controlPoints.previous.y, this.chart.chartArea.bottom), this.chart.chartArea.top);
+
+				point._model.controlPointNextX = Math.max(Math.min(controlPoints.next.x, this.chart.chartArea.right), this.chart.chartArea.left);
+				point._model.controlPointNextY = Math.max(Math.min(controlPoints.next.y, this.chart.chartArea.bottom), this.chart.chartArea.top);
+
+				// Now pivot the point for animation
+				point.pivot();
+			}, this);
+		},
+
+		draw: function(ease) {
+			var easingDecimal = ease || 1;
+
+			// Transition Point Locations
+			helpers.each(this.getDataset().metaData, function(point, index) {
+				point.transition(easingDecimal);
+			}, this);
+
+			// Transition and Draw the line
+			this.getDataset().metaDataset.transition(easingDecimal).draw();
+
+			// Draw the points
+			helpers.each(this.getDataset().metaData, function(point) {
+				point.draw();
+			});
+		},
+
+		setHoverStyle: function(point) {
+			// Point
+			var dataset = this.chart.data.datasets[point._datasetIndex];
+			var index = point._index;
+
+			point._model.radius = point.custom && point.custom.radius ? point.custom.radius : helpers.getValueAtIndexOrDefault(dataset.pointHoverRadius, index, this.chart.options.elements.point.hoverRadius);
+			point._model.backgroundColor = point.custom && point.custom.hoverBackgroundColor ? point.custom.hoverBackgroundColor : helpers.getValueAtIndexOrDefault(dataset.pointHoverBackgroundColor, index, helpers.color(point._model.backgroundColor).saturate(0.5).darken(0.1).rgbString());
+			point._model.borderColor = point.custom && point.custom.hoverBorderColor ? point.custom.hoverBorderColor : helpers.getValueAtIndexOrDefault(dataset.pointHoverBorderColor, index, helpers.color(point._model.borderColor).saturate(0.5).darken(0.1).rgbString());
+			point._model.borderWidth = point.custom && point.custom.hoverBorderWidth ? point.custom.hoverBorderWidth : helpers.getValueAtIndexOrDefault(dataset.pointBorderWidth, index, point._model.borderWidth);
+		},
+
+		removeHoverStyle: function(point) {
+			var dataset = this.chart.data.datasets[point._datasetIndex];
+			var index = point._index;
+
+			point._model.radius = point.custom && point.custom.radius ? point.custom.radius : helpers.getValueAtIndexOrDefault(this.getDataset().radius, index, this.chart.options.elements.point.radius);
+			point._model.backgroundColor = point.custom && point.custom.backgroundColor ? point.custom.backgroundColor : helpers.getValueAtIndexOrDefault(this.getDataset().pointBackgroundColor, index, this.chart.options.elements.point.backgroundColor);
+			point._model.borderColor = point.custom && point.custom.borderColor ? point.custom.borderColor : helpers.getValueAtIndexOrDefault(this.getDataset().pointBorderColor, index, this.chart.options.elements.point.borderColor);
+			point._model.borderWidth = point.custom && point.custom.borderWidth ? point.custom.borderWidth : helpers.getValueAtIndexOrDefault(this.getDataset().pointBorderWidth, index, this.chart.options.elements.point.borderWidth);
+		}
+	});
+}).call(this);

src/core/core.animation.js

@@ -0,0 +1,120 @@
+(function() {
+
+	"use strict";
+
+	var root = this,
+		Chart = root.Chart,
+		helpers = Chart.helpers;
+
+	Chart.defaults.global.animation = {
+		duration: 1000,
+		easing: "easeOutQuart",
+		onProgress: helpers.noop,
+		onComplete: helpers.noop,
+	};
+
+	Chart.Animation = Chart.Element.extend({
+		currentStep: null, // the current animation step
+		numSteps: 60, // default number of steps
+		easing: "", // the easing to use for this animation
+		render: null, // render function used by the animation service
+
+		onAnimationProgress: null, // user specified callback to fire on each step of the animation 
+		onAnimationComplete: null, // user specified callback to fire when the animation finishes
+	});
+
+	Chart.animationService = {
+		frameDuration: 17,
+		animations: [],
+		dropFrames: 0,
+		addAnimation: function(chartInstance, animationObject, duration, lazy) {
+
+			if (!lazy) {
+				chartInstance.animating = true;
+			}
+
+			for (var index = 0; index < this.animations.length; ++index) {
+				if (this.animations[index].chartInstance === chartInstance) {
+					// replacing an in progress animation
+					this.animations[index].animationObject = animationObject;
+					return;
+				}
+			}
+
+			this.animations.push({
+				chartInstance: chartInstance,
+				animationObject: animationObject
+			});
+
+			// If there are no animations queued, manually kickstart a digest, for lack of a better word
+			if (this.animations.length == 1) {
+				helpers.requestAnimFrame.call(window, this.digestWrapper);
+			}
+		},
+		// Cancel the animation for a given chart instance
+		cancelAnimation: function(chartInstance) {
+			var index = helpers.findNextWhere(this.animations, function(animationWrapper) {
+				return animationWrapper.chartInstance === chartInstance;
+			});
+
+			if (index) {
+				this.animations.splice(index, 1);
+				chartInstance.animating = false;
+			}
+		},
+		// calls startDigest with the proper context
+		digestWrapper: function() {
+			Chart.animationService.startDigest.call(Chart.animationService);
+		},
+		startDigest: function() {
+
+			var startTime = Date.now();
+			var framesToDrop = 0;
+
+			if (this.dropFrames > 1) {
+				framesToDrop = Math.floor(this.dropFrames);
+				this.dropFrames = this.dropFrames % 1;
+			}
+
+			for (var i = 0; i < this.animations.length; i++) {
+				if (this.animations[i].animationObject.currentStep === null) {
+					this.animations[i].animationObject.currentStep = 0;
+				}
+
+				this.animations[i].animationObject.currentStep += 1 + framesToDrop;
+
+				if (this.animations[i].animationObject.currentStep > this.animations[i].animationObject.numSteps) {
+					this.animations[i].animationObject.currentStep = this.animations[i].animationObject.numSteps;
+				}
+
+				this.animations[i].animationObject.render(this.animations[i].chartInstance, this.animations[i].animationObject);
+				if (this.animations[i].animationObject.onAnimationProgress && this.animations[i].animationObject.onAnimationProgress.call) {
+					this.animations[i].animationObject.onAnimationProgress.call(this.animations[i].chartInstance, this.animations[i]);
+				}
+
+				if (this.animations[i].animationObject.currentStep == this.animations[i].animationObject.numSteps) {
+					if (this.animations[i].animationObject.onAnimationComplete && this.animations[i].animationObject.onAnimationComplete.call) {
+						this.animations[i].animationObject.onAnimationComplete.call(this.animations[i].chartInstance, this.animations[i]);
+					}
+					
+					// executed the last frame. Remove the animation.
+					this.animations[i].chartInstance.animating = false;
+					this.animations.splice(i, 1);
+					// Keep the index in place to offset the splice
+					i--;
+				}
+			}
+
+			var endTime = Date.now();
+			var dropFrames = (endTime - startTime) / this.frameDuration;
+
+			this.dropFrames += dropFrames;
+
+			// Do we have more stuff to animate?
+			if (this.animations.length > 0) {
+				helpers.requestAnimFrame.call(window, this.digestWrapper);
+			}
+		}
+	};
+
+}).call(this);

src/core/core.controller.js

@@ -0,0 +1,548 @@
+(function() {
+
+	"use strict";
+
+	//Declare root variable - window in the browser, global on the server
+	var root = this,
+		Chart = root.Chart,
+		helpers = Chart.helpers;
+
+
+	//Create a dictionary of chart types, to allow for extension of existing types
+	Chart.types = {};
+
+	//Store a reference to each instance - allowing us to globally resize chart instances on window resize.
+	//Destroy method on the chart will remove the instance of the chart from this reference.
+	Chart.instances = {};
+
+	// Controllers available for dataset visualization eg. bar, line, slice, etc.
+	Chart.controllers = {};
+
+	// The main controller of a chart
+	Chart.Controller = function(instance) {
+
+		this.chart = instance;
+		this.config = instance.config;
+		this.options = this.config.options = helpers.configMerge(Chart.defaults.global, Chart.defaults[this.config.type], this.config.options || {});
+		this.id = helpers.uid();
+
+		Object.defineProperty(this, 'data', {
+			get: function() {
+				return this.config.data;
+			},
+		});
+
+		//Add the chart instance to the global namespace
+		Chart.instances[this.id] = this;
+
+		if (this.options.responsive) {
+			// Silent resize before chart draws
+			this.resize(true);
+		}
+
+		this.initialize.call(this);
+
+		return this;
+	};
+
+	helpers.extend(Chart.Controller.prototype, {
+
+		initialize: function initialize() {
+
+			// TODO
+			// If BeforeInit(this) doesn't return false, proceed
+
+			this.bindEvents();
+
+			// Make sure controllers are built first so that each dataset is bound to an axis before the scales
+			// are built
+			this.ensureScalesHaveIDs();
+			this.buildOrUpdateControllers();
+			this.buildScales();
+			this.buildSurroundingItems();
+			this.updateLayout();
+			this.resetElements();
+			this.initToolTip();
+			this.update();
+
+			// TODO
+			// If AfterInit(this) doesn't return false, proceed
+
+			return this;
+		},
+
+		clear: function clear() {
+			helpers.clear(this.chart);
+			return this;
+		},
+
+		stop: function stop() {
+			// Stops any current animation loop occuring
+			Chart.animationService.cancelAnimation(this);
+			return this;
+		},
+
+		resize: function resize(silent) {
+			this.stop();
+			var canvas = this.chart.canvas;
+			var newWidth = helpers.getMaximumWidth(this.chart.canvas);
+			var newHeight = (this.options.maintainAspectRatio && isNaN(this.chart.aspectRatio) === false && isFinite(this.chart.aspectRatio) && this.chart.aspectRatio !== 0) ? newWidth / this.chart.aspectRatio : helpers.getMaximumHeight(this.chart.canvas);
+
+			canvas.width = this.chart.width = newWidth;
+			canvas.height = this.chart.height = newHeight;
+
+			helpers.retinaScale(this.chart);
+
+			if (!silent) {
+				this.update(this.options.responsiveAnimationDuration);
+			}
+
+			return this;
+		},
+		ensureScalesHaveIDs: function ensureScalesHaveIDs() {
+			var defaultXAxisID = 'x-axis-';
+			var defaultYAxisID = 'y-axis-';
+
+			if (this.options.scales) {
+				if (this.options.scales.xAxes && this.options.scales.xAxes.length) {
+					helpers.each(this.options.scales.xAxes, function(xAxisOptions, index) {
+						xAxisOptions.id = xAxisOptions.id || (defaultXAxisID + index);
+					}, this);
+				}
+
+				if (this.options.scales.yAxes && this.options.scales.yAxes.length) {
+					// Build the y axes
+					helpers.each(this.options.scales.yAxes, function(yAxisOptions, index) {
+						yAxisOptions.id = yAxisOptions.id || (defaultYAxisID + index);
+					}, this);
+				}
+			}
+		},
+		buildScales: function buildScales() {
+			// Map of scale ID to scale object so we can lookup later
+			this.scales = {};
+
+			// Build the x axes
+			if (this.options.scales) {
+				if (this.options.scales.xAxes && this.options.scales.xAxes.length) {
+					helpers.each(this.options.scales.xAxes, function(xAxisOptions, index) {
+						var ScaleClass = Chart.scaleService.getScaleConstructor(xAxisOptions.type);
+						var scale = new ScaleClass({
+							ctx: this.chart.ctx,
+							options: xAxisOptions,
+							chart: this,
+							id: xAxisOptions.id,
+						});
+
+						this.scales[scale.id] = scale;
+					}, this);
+				}
+
+				if (this.options.scales.yAxes && this.options.scales.yAxes.length) {
+					// Build the y axes
+					helpers.each(this.options.scales.yAxes, function(yAxisOptions, index) {
+						var ScaleClass = Chart.scaleService.getScaleConstructor(yAxisOptions.type);
+						var scale = new ScaleClass({
+							ctx: this.chart.ctx,
+							options: yAxisOptions,
+							chart: this,
+							id: yAxisOptions.id,
+						});
+
+						this.scales[scale.id] = scale;
+					}, this);
+				}
+			}
+			if (this.options.scale) {
+				// Build radial axes
+				var ScaleClass = Chart.scaleService.getScaleConstructor(this.options.scale.type);
+				var scale = new ScaleClass({
+					ctx: this.chart.ctx,
+					options: this.options.scale,
+					chart: this,
+				});
+
+				this.scale = scale;
+
+				this.scales.radialScale = scale;
+			}
+
+			Chart.scaleService.addScalesToLayout(this);
+		},
+
+		buildSurroundingItems: function() {
+			if (this.options.title) {
+				this.titleBlock = new Chart.Title({
+					ctx: this.chart.ctx,
+					options: this.options.title,
+					chart: this
+				});
+
+				Chart.layoutService.addBox(this, this.titleBlock);
+			}
+
+			if (this.options.legend) {
+				this.legend = new Chart.Legend({
+					ctx: this.chart.ctx,
+					options: this.options.legend,
+					chart: this,
+				});
+
+				Chart.layoutService.addBox(this, this.legend);
+			}
+		},
+
+		updateLayout: function() {
+			Chart.layoutService.update(this, this.chart.width, this.chart.height);
+		},
+
+		buildOrUpdateControllers: function buildOrUpdateControllers(resetNewControllers) {
+			var types = [];
+			helpers.each(this.data.datasets, function(dataset, datasetIndex) {
+				if (!dataset.type) {
+					dataset.type = this.config.type;
+				}
+
+				var type = dataset.type;
+				types.push(type);
+
+				if (dataset.controller) {
+					dataset.controller.updateIndex(datasetIndex);
+				} else {
+					dataset.controller = new Chart.controllers[type](this, datasetIndex);
+
+					if (resetNewControllers) {
+						dataset.controller.reset();
+					}
+				}
+			}, this);
+
+			if (types.length > 1) {
+				for (var i = 1; i < types.length; i++) {
+					if (types[i] != types[i - 1]) {
+						this.isCombo = true;
+						break;
+					}
+				}
+			}
+		},
+
+		resetElements: function resetElements() {
+			helpers.each(this.data.datasets, function(dataset, datasetIndex) {
+				dataset.controller.reset();
+			}, this);
+		},
+
+		update: function update(animationDuration, lazy) {
+			// In case the entire data object changed
+			this.tooltip._data = this.data;
+
+			// Make sure dataset controllers are updated and new controllers are reset
+			this.buildOrUpdateControllers(true);
+
+			Chart.layoutService.update(this, this.chart.width, this.chart.height);
+
+			// Make sure all dataset controllers have correct meta data counts
+			helpers.each(this.data.datasets, function(dataset, datasetIndex) {
+				dataset.controller.buildOrUpdateElements();
+			}, this);
+
+			// This will loop through any data and do the appropriate element update for the type
+			helpers.each(this.data.datasets, function(dataset, datasetIndex) {
+				dataset.controller.update();
+			}, this);
+			this.render(animationDuration, lazy);
+		},
+
+		render: function render(duration, lazy) {
+
+			if (this.options.animation && ((typeof duration !== 'undefined' && duration !== 0) || (typeof duration == 'undefined' && this.options.animation.duration !== 0))) {
+				var animation = new Chart.Animation();
+				animation.numSteps = (duration || this.options.animation.duration) / 16.66; //60 fps
+				animation.easing = this.options.animation.easing;
+
+				// render function
+				animation.render = function(chartInstance, animationObject) {
+					var easingFunction = helpers.easingEffects[animationObject.easing];
+					var stepDecimal = animationObject.currentStep / animationObject.numSteps;
+					var easeDecimal = easingFunction(stepDecimal);
+
+					chartInstance.draw(easeDecimal, stepDecimal, animationObject.currentStep);
+				};
+
+				// user events
+				animation.onAnimationProgress = this.options.animation.onProgress;
+				animation.onAnimationComplete = this.options.animation.onComplete;
+
+				Chart.animationService.addAnimation(this, animation, duration, lazy);
+			} else {
+				this.draw();
+				if (this.options.animation && this.options.animation.onComplete && this.options.animation.onComplete.call) {
+					this.options.animation.onComplete.call(this);
+				}
+			}
+			return this;
+		},
+
+		draw: function(ease) {
+			var easingDecimal = ease || 1;
+			this.clear();
+
+			// Draw all the scales
+			helpers.each(this.boxes, function(box) {
+				box.draw(this.chartArea);
+			}, this);
+			if (this.scale) {
+				this.scale.draw();
+			}
+
+			// Draw each dataset via its respective controller (reversed to support proper line stacking)
+			helpers.each(this.data.datasets, function(dataset, datasetIndex) {
+				if (helpers.isDatasetVisible(dataset)) {
+					dataset.controller.draw(ease);
+				}
+			}, this);
+
+			// Finally draw the tooltip
+			this.tooltip.transition(easingDecimal).draw();
+		},
+
+		// Get the single element that was clicked on
+		// @return : An object containing the dataset index and element index of the matching element. Also contains the rectangle that was draw
+		getElementAtEvent: function(e) {
+
+			var eventPosition = helpers.getRelativePosition(e, this.chart);
+			var elementsArray = [];
+
+			helpers.each(this.data.datasets, function(dataset, datasetIndex) {
+				if (helpers.isDatasetVisible(dataset)) {
+					helpers.each(dataset.metaData, function(element, index) {
+						if (element.inRange(eventPosition.x, eventPosition.y)) {
+							elementsArray.push(element);
+							return elementsArray;
+						}
+					}, this);
+				}
+			}, this);
+
+			return elementsArray;
+		},
+
+		getElementsAtEvent: function(e) {
+			var eventPosition = helpers.getRelativePosition(e, this.chart);
+			var elementsArray = [];
+
+			var found = (function(){
+				for (var i = 0; i < this.data.datasets.length; i++) {
+					if (helpers.isDatasetVisible(this.data.datasets[i])) {
+						for (var j = 0; j < this.data.datasets[i].metaData.length; j++) {
+							if (this.data.datasets[i].metaData[j].inRange(eventPosition.x, eventPosition.y)) {
+								return this.data.datasets[i].metaData[j];
+							}
+						}
+					}
+				}
+			}).call(this);
+
+			if(!found){
+				return elementsArray;
+			}
+
+			helpers.each(this.data.datasets, function(dataset, dsIndex){
+				if(helpers.isDatasetVisible(dataset)){
+					elementsArray.push(dataset.metaData[found._index]);
+				}
+			}, this);
+
+			return elementsArray;
+		},
+
+		getDatasetAtEvent: function(e) {
+			var elementsArray = this.getElementAtEvent(e);
+
+			if (elementsArray.length > 0) {
+				elementsArray = this.data.datasets[elementsArray[0]._datasetIndex].metaData;
+			}
+
+			return elementsArray;
+		},
+
+		generateLegend: function generateLegend() {
+			return this.options.legendCallback(this);
+		},
+
+		destroy: function destroy() {
+			this.clear();
+			helpers.unbindEvents(this, this.events);
+			helpers.removeResizeListener(this.chart.canvas.parentNode);
+
+			// Reset canvas height/width attributes
+			var canvas = this.chart.canvas;
+			canvas.width = this.chart.width;
+			canvas.height = this.chart.height;
+
+			// if we scaled the canvas in response to a devicePixelRatio !== 1, we need to undo that transform here
+			if (this.chart.originalDevicePixelRatio !== undefined) {
+				this.chart.ctx.scale(1 / this.chart.originalDevicePixelRatio, 1 / this.chart.originalDevicePixelRatio);
+			}
+
+			// Reset to the old style since it may have been changed by the device pixel ratio changes
+			canvas.style.width = this.chart.originalCanvasStyleWidth;
+			canvas.style.height = this.chart.originalCanvasStyleHeight;
+
+			delete Chart.instances[this.id];
+		},
+
+		toBase64Image: function toBase64Image() {
+			return this.chart.canvas.toDataURL.apply(this.chart.canvas, arguments);
+		},
+
+		initToolTip: function initToolTip() {
+			this.tooltip = new Chart.Tooltip({
+				_chart: this.chart,
+				_chartInstance: this,
+				_data: this.data,
+				_options: this.options,
+			}, this);
+		},
+
+		bindEvents: function bindEvents() {
+			helpers.bindEvents(this, this.options.events, function(evt) {
+				this.eventHandler(evt);
+			});
+		},
+		eventHandler: function eventHandler(e) {
+			this.lastActive = this.lastActive || [];
+			this.lastTooltipActive = this.lastTooltipActive || [];
+
+			// Find Active Elements for hover and tooltips
+			if (e.type == 'mouseout') {
+				this.active = [];
+				this.tooltipActive = [];
+			} else {
+
+				var _this = this;
+				var getItemsForMode = function(mode) {
+					switch (mode) {
+						case 'single':
+							return _this.getElementAtEvent(e);
+						case 'label':
+							return _this.getElementsAtEvent(e);
+						case 'dataset':
+							return _this.getDatasetAtEvent(e);
+						default:
+							return e;
+					}
+				};
+
+				this.active = getItemsForMode(this.options.hover.mode);
+				this.tooltipActive = getItemsForMode(this.options.tooltips.mode);
+			}
+
+			// On Hover hook
+			if (this.options.hover.onHover) {
+				this.options.hover.onHover.call(this, this.active);
+			}
+
+			if (e.type == 'mouseup' || e.type == 'click') {
+				if (this.options.onClick) {
+					this.options.onClick.call(this, e, this.active);
+				}
+
+				if (this.legend && this.legend.handleEvent) {
+					this.legend.handleEvent(e);
+				}
+			}
+
+			var dataset;
+			var index;
+
+			// Remove styling for last active (even if it may still be active)
+			if (this.lastActive.length) {
+				switch (this.options.hover.mode) {
+					case 'single':
+						this.data.datasets[this.lastActive[0]._datasetIndex].controller.removeHoverStyle(this.lastActive[0], this.lastActive[0]._datasetIndex, this.lastActive[0]._index);
+						break;
+					case 'label':
+					case 'dataset':
+						for (var i = 0; i < this.lastActive.length; i++) {
+							if (this.lastActive[i])
+						  		this.data.datasets[this.lastActive[i]._datasetIndex].controller.removeHoverStyle(this.lastActive[i], this.lastActive[i]._datasetIndex, this.lastActive[i]._index);
+						}
+						break;
+					default:
+						// Don't change anything
+				}
+			}
+
+			// Built in hover styling
+			if (this.active.length && this.options.hover.mode) {
+				switch (this.options.hover.mode) {
+					case 'single':
+						this.data.datasets[this.active[0]._datasetIndex].controller.setHoverStyle(this.active[0]);
+						break;
+					case 'label':
+					case 'dataset':
+						for (var j = 0; j < this.active.length; j++) {
+							if (this.active[j])
+				  				this.data.datasets[this.active[j]._datasetIndex].controller.setHoverStyle(this.active[j]);
+						}
+						break;
+					default:
+						// Don't change anything
+				}
+			}
+
+
+			// Built in Tooltips
+			if (this.options.tooltips.enabled || this.options.tooltips.custom) {
+
+				// The usual updates
+				this.tooltip.initialize();
+				this.tooltip._active = this.tooltipActive;
+				this.tooltip.update();
+			}
+
+			// Hover animations
+			this.tooltip.pivot();
+
+			if (!this.animating) {
+				var changed;
+
+				helpers.each(this.active, function(element, index) {
+					if (element !== this.lastActive[index]) {
+						changed = true;
+					}
+				}, this);
+
+				helpers.each(this.tooltipActive, function(element, index) {
+					if (element !== this.lastTooltipActive[index]) {
+						changed = true;
+					}
+				}, this);
+
+				// If entering, leaving, or changing elements, animate the change via pivot
+				if ((this.lastActive.length !== this.active.length) ||
+					(this.lastTooltipActive.length !== this.tooltipActive.length) ||
+					changed) {
+
+					this.stop();
+
+					if (this.options.tooltips.enabled || this.options.tooltips.custom) {
+						this.tooltip.update(true);
+					}
+
+					// We only need to render at this point. Updating will cause scales to be recomputed generating flicker & using more
+					// memory than necessary.
+					this.render(this.options.hover.animationDuration, true);
+				}
+			}
+
+			// Remember Last Actives
+			this.lastActive = this.active;
+			this.lastTooltipActive = this.tooltipActive;
+			return this;
+		},
+	});
+
+}).call(this);

src/core/core.datasetController.js

@@ -0,0 +1,77 @@
+(function() {
+
+	"use strict";
+
+	//Declare root variable - window in the browser, global on the server
+	var root = this,
+		Chart = root.Chart,
+		helpers = Chart.helpers;
+
+
+	// Base class for all dataset controllers (line, bar, etc)
+	Chart.DatasetController = function(chart, datasetIndex) {
+		this.initialize.call(this, chart, datasetIndex);
+	};
+
+	helpers.extend(Chart.DatasetController.prototype, {
+		initialize: function(chart, datasetIndex) {
+			this.chart = chart;
+			this.index = datasetIndex;
+			this.linkScales();
+			this.addElements();
+		},
+		updateIndex: function(datasetIndex) {
+			this.index = datasetIndex;
+		},
+
+		linkScales: function() {
+			if (!this.getDataset().xAxisID) {
+				this.getDataset().xAxisID = this.chart.options.scales.xAxes[0].id;
+			}
+
+			if (!this.getDataset().yAxisID) {
+				this.getDataset().yAxisID = this.chart.options.scales.yAxes[0].id;
+			}
+		},
+
+		getDataset: function() {
+			return this.chart.data.datasets[this.index];
+		},
+
+		getScaleForId: function(scaleID) {
+			return this.chart.scales[scaleID];
+		},
+
+		reset: function() {
+			this.update(true);
+		},
+
+		buildOrUpdateElements: function buildOrUpdateElements() {
+			// Handle the number of data points changing
+			var numData = this.getDataset().data.length;
+			var numMetaData = this.getDataset().metaData.length;
+
+			// Make sure that we handle number of datapoints changing
+			if (numData < numMetaData) {
+				// Remove excess bars for data points that have been removed
+				this.getDataset().metaData.splice(numData, numMetaData - numData);
+			} else if (numData > numMetaData) {
+				// Add new elements
+				for (var index = numMetaData; index < numData; ++index) {
+					this.addElementAndReset(index);
+				}
+			}
+		},
+
+		// Controllers should implement the following
+		addElements: helpers.noop,
+		addElementAndReset: helpers.noop,
+		draw: helpers.noop,
+		removeHoverStyle: helpers.noop,
+		setHoverStyle: helpers.noop,
+		update: helpers.noop,
+	});
+
+	Chart.DatasetController.extend = helpers.inherits;
+
+}).call(this);

src/core/core.element.js

@@ -0,0 +1,91 @@
+(function() {
+
+	"use strict";
+
+	//Declare root variable - window in the browser, global on the server
+	var root = this,
+		Chart = root.Chart,
+		helpers = Chart.helpers;
+
+	Chart.elements = {};
+
+	Chart.Element = function(configuration) {
+		helpers.extend(this, configuration);
+		this.initialize.apply(this, arguments);
+	};
+	helpers.extend(Chart.Element.prototype, {
+		initialize: function() {},
+		pivot: function() {
+			if (!this._view) {
+				this._view = helpers.clone(this._model);
+			}
+			this._start = helpers.clone(this._view);
+			return this;
+		},
+		transition: function(ease) {
+			if (!this._view) {
+				this._view = helpers.clone(this._model);
+			}
+			if (!this._start) {
+				this.pivot();
+			}
+
+			helpers.each(this._model, function(value, key) {
+
+				if (key[0] === '_' || !this._model.hasOwnProperty(key)) {
+					// Only non-underscored properties
+				}
+
+				// Init if doesn't exist
+				else if (!this._view[key]) {
+					if (typeof value === 'number' && isNaN(this._view[key]) === false) {
+						this._view[key] = value * ease;
+					} else {
+						this._view[key] = value || null;
+					}
+				}
+
+				// No unnecessary computations
+				else if (this._model[key] === this._view[key]) {
+					// It's the same! Woohoo!
+				}
+
+				// Color transitions if possible
+				else if (typeof value === 'string') {
+					try {
+						var color = helpers.color(this._start[key]).mix(helpers.color(this._model[key]), ease);
+						this._view[key] = color.rgbString();
+					} catch (err) {
+						this._view[key] = value;
+					}
+				}
+				// Number transitions
+				else if (typeof value === 'number') {
+					var startVal = this._start[key] !== undefined && isNaN(this._start[key]) === false ? this._start[key] : 0;
+					this._view[key] = ((this._model[key] - startVal) * ease) + startVal;
+				}
+				// Everything else
+				else {
+					this._view[key] = value;
+				}
+			}, this);
+
+			if (ease === 1) {
+				delete this._start;
+			}
+			return this;
+		},
+		tooltipPosition: function() {
+			return {
+				x: this._model.x,
+				y: this._model.y
+			};
+		},
+		hasValue: function() {
+			return helpers.isNumber(this._model.x) && helpers.isNumber(this._model.y);
+		}
+	});
+
+	Chart.Element.extend = helpers.inherits;
+
+}).call(this);

src/core/core.helpers.js

@@ -0,0 +1,857 @@
+(function() {
+
+	"use strict";
+
+	//Declare root variable - window in the browser, global on the server
+	var root = this,
+		Chart = root.Chart;
+
+	//Global Chart helpers object for utility methods and classes
+	var helpers = Chart.helpers = {};
+
+	//-- Basic js utility methods
+	var each = helpers.each = function(loopable, callback, self, reverse) {
+			var additionalArgs = Array.prototype.slice.call(arguments, 3);
+			// Check to see if null or undefined firstly.
+			if (loopable) {
+				if (loopable.length === +loopable.length) {
+					var i;
+					if (reverse) {
+						for (i = loopable.length - 1; i >= 0; i--) {
+							callback.apply(self, [loopable[i], i].concat(additionalArgs));
+						}
+					} else {
+						for (i = 0; i < loopable.length; i++) {
+							callback.apply(self, [loopable[i], i].concat(additionalArgs));
+						}
+					}
+				} else {
+					for (var item in loopable) {
+						callback.apply(self, [loopable[item], item].concat(additionalArgs));
+					}
+				}
+			}
+		},
+		clone = helpers.clone = function(obj) {
+			var objClone = {};
+			each(obj, function(value, key) {
+				if (obj.hasOwnProperty(key)) {
+					if (helpers.isArray(value)) {
+						objClone[key] = value.slice(0);
+					} else if (typeof value === 'object' && value !== null) {
+						objClone[key] = clone(value);
+					} else {
+						objClone[key] = value;
+					}
+				}
+			});
+			return objClone;
+		},
+		extend = helpers.extend = function(base) {
+			each(Array.prototype.slice.call(arguments, 1), function(extensionObject) {
+				each(extensionObject, function(value, key) {
+					if (extensionObject.hasOwnProperty(key)) {
+						base[key] = value;
+					}
+				});
+			});
+			return base;
+		},
+		// Need a special merge function to chart configs since they are now grouped
+		configMerge = helpers.configMerge = function(_base) {
+			var base = clone(_base);
+			helpers.each(Array.prototype.slice.call(arguments, 1), function(extension) {
+				helpers.each(extension, function(value, key) {
+					if (extension.hasOwnProperty(key)) {
+						if (key === 'scales') {
+							// Scale config merging is complex. Add out own function here for that
+							base[key] = helpers.scaleMerge(base.hasOwnProperty(key) ? base[key] : {}, value);
+
+						} else if (key === 'scale') {
+							// Used in polar area & radar charts since there is only one scale
+							base[key] = helpers.configMerge(base.hasOwnProperty(key) ? base[key] : {}, Chart.scaleService.getScaleDefaults(value.type), value);
+						} else if (base.hasOwnProperty(key) && helpers.isArray(base[key]) && helpers.isArray(value)) {
+							// In this case we have an array of objects replacing another array. Rather than doing a strict replace,
+							// merge. This allows easy scale option merging
+							var baseArray = base[key];
+
+							helpers.each(value, function(valueObj, index) {
+
+								if (index < baseArray.length) {
+									if (typeof baseArray[index] == 'object' && baseArray[index] !== null && typeof valueObj == 'object' && valueObj !== null) {
+										// Two objects are coming together. Do a merge of them.
+										baseArray[index] = helpers.configMerge(baseArray[index], valueObj);
+									} else {
+										// Just overwrite in this case since there is nothing to merge
+										baseArray[index] = valueObj;
+									}
+								} else {
+									baseArray.push(valueObj); // nothing to merge
+								}
+							});
+
+						} else if (base.hasOwnProperty(key) && typeof base[key] == "object" && base[key] !== null && typeof value == "object") {
+							// If we are overwriting an object with an object, do a merge of the properties.
+							base[key] = helpers.configMerge(base[key], value);
+
+						} else {
+							// can just overwrite the value in this case
+							base[key] = value;
+						}
+					}
+				});
+			});
+
+			return base;
+		},
+		extendDeep = helpers.extendDeep = function(_base) {
+			return _extendDeep.apply(this, arguments);
+
+			function _extendDeep(dst) {
+				helpers.each(arguments, function(obj) {
+					if (obj !== dst) {
+						helpers.each(obj, function(value, key) {
+							if (dst[key] && dst[key].constructor && dst[key].constructor === Object) {
+								_extendDeep(dst[key], value);
+							} else {
+								dst[key] = value;
+							}
+						});
+					}
+				});
+				return dst;
+			}
+		},
+		scaleMerge = helpers.scaleMerge = function(_base, extension) {
+			var base = clone(_base);
+
+			helpers.each(extension, function(value, key) {
+				if (extension.hasOwnProperty(key)) {
+					if (key === 'xAxes' || key === 'yAxes') {
+						// These properties are arrays of items
+						if (base.hasOwnProperty(key)) {
+							helpers.each(value, function(valueObj, index) {
+								if (index >= base[key].length || !base[key][index].type) {
+									base[key].push(helpers.configMerge(valueObj.type ? Chart.scaleService.getScaleDefaults(valueObj.type) : {}, valueObj));
+								} else if (valueObj.type !== base[key][index].type) {
+									// Type changed. Bring in the new defaults before we bring in valueObj so that valueObj can override the correct scale defaults
+									base[key][index] = helpers.configMerge(base[key][index], valueObj.type ? Chart.scaleService.getScaleDefaults(valueObj.type) : {}, valueObj);
+								} else {
+									// Type is the same
+									base[key][index] = helpers.configMerge(base[key][index], valueObj);
+								}
+							});
+						} else {
+							base[key] = [];
+							helpers.each(value, function(valueObj) {
+								base[key].push(helpers.configMerge(valueObj.type ? Chart.scaleService.getScaleDefaults(valueObj.type) : {}, valueObj));
+							});
+						}
+					} else if (base.hasOwnProperty(key) && typeof base[key] == "object" && base[key] !== null && typeof value == "object") {
+						// If we are overwriting an object with an object, do a merge of the properties.
+						base[key] = helpers.configMerge(base[key], value);
+
+					} else {
+						// can just overwrite the value in this case
+						base[key] = value;
+					}
+				}
+			});
+
+			return base;
+		},
+		getValueAtIndexOrDefault = helpers.getValueAtIndexOrDefault = function(value, index, defaultValue) {
+			if (value === undefined || value === null) {
+				return defaultValue;
+			}
+
+			if (helpers.isArray(value)) {
+				return index < value.length ? value[index] : defaultValue;
+			}
+
+			return value;
+		},
+		getValueOrDefault = helpers.getValueOrDefault = function(value, defaultValue) {
+			return value === undefined ? defaultValue : value;
+		},
+		indexOf = helpers.indexOf = function(arrayToSearch, item) {
+			if (Array.prototype.indexOf) {
+				return arrayToSearch.indexOf(item);
+			} else {
+				for (var i = 0; i < arrayToSearch.length; i++) {
+					if (arrayToSearch[i] === item) return i;
+				}
+				return -1;
+			}
+		},
+		where = helpers.where = function(collection, filterCallback) {
+			var filtered = [];
+
+			helpers.each(collection, function(item) {
+				if (filterCallback(item)) {
+					filtered.push(item);
+				}
+			});
+
+			return filtered;
+		},
+		findNextWhere = helpers.findNextWhere = function(arrayToSearch, filterCallback, startIndex) {
+			// Default to start of the array
+			if (startIndex === undefined || startIndex === null) {
+				startIndex = -1;
+			}
+			for (var i = startIndex + 1; i < arrayToSearch.length; i++) {
+				var currentItem = arrayToSearch[i];
+				if (filterCallback(currentItem)) {
+					return currentItem;
+				}
+			}
+		},
+		findPreviousWhere = helpers.findPreviousWhere = function(arrayToSearch, filterCallback, startIndex) {
+			// Default to end of the array
+			if (startIndex === undefined || startIndex === null) {
+				startIndex = arrayToSearch.length;
+			}
+			for (var i = startIndex - 1; i >= 0; i--) {
+				var currentItem = arrayToSearch[i];
+				if (filterCallback(currentItem)) {
+					return currentItem;
+				}
+			}
+		},
+		inherits = helpers.inherits = function(extensions) {
+			//Basic javascript inheritance based on the model created in Backbone.js
+			var parent = this;
+			var ChartElement = (extensions && extensions.hasOwnProperty("constructor")) ? extensions.constructor : function() {
+				return parent.apply(this, arguments);
+			};
+
+			var Surrogate = function() {
+				this.constructor = ChartElement;
+			};
+			Surrogate.prototype = parent.prototype;
+			ChartElement.prototype = new Surrogate();
+
+			ChartElement.extend = inherits;
+
+			if (extensions) extend(ChartElement.prototype, extensions);
+
+			ChartElement.__super__ = parent.prototype;
+
+			return ChartElement;
+		},
+		noop = helpers.noop = function() {},
+		uid = helpers.uid = (function() {
+			var id = 0;
+			return function() {
+				return "chart-" + id++;
+			};
+		})(),
+		warn = helpers.warn = function(str) {
+			//Method for warning of errors
+			if (console && typeof console.warn === "function") {
+				console.warn(str);
+			}
+		},
+		//-- Math methods
+		isNumber = helpers.isNumber = function(n) {
+			return !isNaN(parseFloat(n)) && isFinite(n);
+		},
+		max = helpers.max = function(array) {
+			return Math.max.apply(Math, array);
+		},
+		min = helpers.min = function(array) {
+			return Math.min.apply(Math, array);
+		},
+		sign = helpers.sign = function(x) {
+			if (Math.sign) {
+				return Math.sign(x);
+			} else {
+				x = +x; // convert to a number
+				if (x === 0 || isNaN(x)) {
+					return x;
+				}
+				return x > 0 ? 1 : -1;
+			}
+		},
+		log10 = helpers.log10 = function(x) {
+			if (Math.log10) {
+				return Math.log10(x);
+			} else {
+				return Math.log(x) / Math.LN10;
+			}
+		},
+		getDecimalPlaces = helpers.getDecimalPlaces = function(num) {
+			if (num % 1 !== 0 && isNumber(num)) {
+				var s = num.toString();
+				if (s.indexOf("e-") < 0) {
+					// no exponent, e.g. 0.01
+					return s.split(".")[1].length;
+				} else if (s.indexOf(".") < 0) {
+					// no decimal point, e.g. 1e-9
+					return parseInt(s.split("e-")[1]);
+				} else {
+					// exponent and decimal point, e.g. 1.23e-9
+					var parts = s.split(".")[1].split("e-");
+					return parts[0].length + parseInt(parts[1]);
+				}
+			} else {
+				return 0;
+			}
+		},
+		toRadians = helpers.toRadians = function(degrees) {
+			return degrees * (Math.PI / 180);
+		},
+		toDegrees = helpers.toDegrees = function(radians) {
+			return radians * (180 / Math.PI);
+		},
+		// Gets the angle from vertical upright to the point about a centre.
+		getAngleFromPoint = helpers.getAngleFromPoint = function(centrePoint, anglePoint) {
+			var distanceFromXCenter = anglePoint.x - centrePoint.x,
+				distanceFromYCenter = anglePoint.y - centrePoint.y,
+				radialDistanceFromCenter = Math.sqrt(distanceFromXCenter * distanceFromXCenter + distanceFromYCenter * distanceFromYCenter);
+
+			var angle = Math.atan2(distanceFromYCenter, distanceFromXCenter);
+
+			if (angle < (-0.5 * Math.PI)) {
+				angle += 2.0 * Math.PI; // make sure the returned angle is in the range of (-PI/2, 3PI/2]
+			}
+
+			return {
+				angle: angle,
+				distance: radialDistanceFromCenter
+			};
+		},
+		aliasPixel = helpers.aliasPixel = function(pixelWidth) {
+			return (pixelWidth % 2 === 0) ? 0 : 0.5;
+		},
+		splineCurve = helpers.splineCurve = function(firstPoint, middlePoint, afterPoint, t) {
+			//Props to Rob Spencer at scaled innovation for his post on splining between points
+			//http://scaledinnovation.com/analytics/splines/aboutSplines.html
+
+			// This function must also respect "skipped" points
+
+			var previous = firstPoint.skip ? middlePoint : firstPoint,
+				current = middlePoint,
+				next = afterPoint.skip ? middlePoint : afterPoint;
+
+			var d01 = Math.sqrt(Math.pow(current.x - previous.x, 2) + Math.pow(current.y - previous.y, 2));
+			var d12 = Math.sqrt(Math.pow(next.x - current.x, 2) + Math.pow(next.y - current.y, 2));
+
+			var s01 = d01 / (d01 + d12);
+			var s12 = d12 / (d01 + d12);
+
+			// If all points are the same, s01 & s02 will be inf
+			s01 = isNaN(s01) ? 0 : s01;
+			s12 = isNaN(s12) ? 0 : s12;
+
+			var fa = t * s01; // scaling factor for triangle Ta
+			var fb = t * s12;
+
+			return {
+				previous: {
+					x: current.x - fa * (next.x - previous.x),
+					y: current.y - fa * (next.y - previous.y)
+				},
+				next: {
+					x: current.x + fb * (next.x - previous.x),
+					y: current.y + fb * (next.y - previous.y)
+				}
+			};
+		},
+		nextItem = helpers.nextItem = function(collection, index, loop) {
+			if (loop) {
+				return index >= collection.length - 1 ? collection[0] : collection[index + 1];
+			}
+
+			return index >= collection.length - 1 ? collection[collection.length - 1] : collection[index + 1];
+		},
+		previousItem = helpers.previousItem = function(collection, index, loop) {
+			if (loop) {
+				return index <= 0 ? collection[collection.length - 1] : collection[index - 1];
+			}
+			return index <= 0 ? collection[0] : collection[index - 1];
+		},
+		// Implementation of the nice number algorithm used in determining where axis labels will go
+		niceNum = helpers.niceNum = function(range, round) {
+			var exponent = Math.floor(helpers.log10(range));
+			var fraction = range / Math.pow(10, exponent);
+			var niceFraction;
+
+			if (round) {
+				if (fraction < 1.5) {
+					niceFraction = 1;
+				} else if (fraction < 3) {
+					niceFraction = 2;
+				} else if (fraction < 7) {
+					niceFraction = 5;
+				} else {
+					niceFraction = 10;
+				}
+			} else {
+				if (fraction <= 1.0) {
+					niceFraction = 1;
+				} else if (fraction <= 2) {
+					niceFraction = 2;
+				} else if (fraction <= 5) {
+					niceFraction = 5;
+				} else {
+					niceFraction = 10;
+				}
+			}
+
+			return niceFraction * Math.pow(10, exponent);
+		},
+		//Easing functions adapted from Robert Penner's easing equations
+		//http://www.robertpenner.com/easing/
+		easingEffects = helpers.easingEffects = {
+			linear: function(t) {
+				return t;
+			},
+			easeInQuad: function(t) {
+				return t * t;
+			},
+			easeOutQuad: function(t) {
+				return -1 * t * (t - 2);
+			},
+			easeInOutQuad: function(t) {
+				if ((t /= 1 / 2) < 1) {
+					return 1 / 2 * t * t;
+				}
+				return -1 / 2 * ((--t) * (t - 2) - 1);
+			},
+			easeInCubic: function(t) {
+				return t * t * t;
+			},
+			easeOutCubic: function(t) {
+				return 1 * ((t = t / 1 - 1) * t * t + 1);
+			},
+			easeInOutCubic: function(t) {
+				if ((t /= 1 / 2) < 1) {
+					return 1 / 2 * t * t * t;
+				}
+				return 1 / 2 * ((t -= 2) * t * t + 2);
+			},
+			easeInQuart: function(t) {
+				return t * t * t * t;
+			},
+			easeOutQuart: function(t) {
+				return -1 * ((t = t / 1 - 1) * t * t * t - 1);
+			},
+			easeInOutQuart: function(t) {
+				if ((t /= 1 / 2) < 1) {
+					return 1 / 2 * t * t * t * t;
+				}
+				return -1 / 2 * ((t -= 2) * t * t * t - 2);
+			},
+			easeInQuint: function(t) {
+				return 1 * (t /= 1) * t * t * t * t;
+			},
+			easeOutQuint: function(t) {
+				return 1 * ((t = t / 1 - 1) * t * t * t * t + 1);
+			},
+			easeInOutQuint: function(t) {
+				if ((t /= 1 / 2) < 1) {
+					return 1 / 2 * t * t * t * t * t;
+				}
+				return 1 / 2 * ((t -= 2) * t * t * t * t + 2);
+			},
+			easeInSine: function(t) {
+				return -1 * Math.cos(t / 1 * (Math.PI / 2)) + 1;
+			},
+			easeOutSine: function(t) {
+				return 1 * Math.sin(t / 1 * (Math.PI / 2));
+			},
+			easeInOutSine: function(t) {
+				return -1 / 2 * (Math.cos(Math.PI * t / 1) - 1);
+			},
+			easeInExpo: function(t) {
+				return (t === 0) ? 1 : 1 * Math.pow(2, 10 * (t / 1 - 1));
+			},
+			easeOutExpo: function(t) {
+				return (t === 1) ? 1 : 1 * (-Math.pow(2, -10 * t / 1) + 1);
+			},
+			easeInOutExpo: function(t) {
+				if (t === 0) {
+					return 0;
+				}
+				if (t === 1) {
+					return 1;
+				}
+				if ((t /= 1 / 2) < 1) {
+					return 1 / 2 * Math.pow(2, 10 * (t - 1));
+				}
+				return 1 / 2 * (-Math.pow(2, -10 * --t) + 2);
+			},
+			easeInCirc: function(t) {
+				if (t >= 1) {
+					return t;
+				}
+				return -1 * (Math.sqrt(1 - (t /= 1) * t) - 1);
+			},
+			easeOutCirc: function(t) {
+				return 1 * Math.sqrt(1 - (t = t / 1 - 1) * t);
+			},
+			easeInOutCirc: function(t) {
+				if ((t /= 1 / 2) < 1) {
+					return -1 / 2 * (Math.sqrt(1 - t * t) - 1);
+				}
+				return 1 / 2 * (Math.sqrt(1 - (t -= 2) * t) + 1);
+			},
+			easeInElastic: function(t) {
+				var s = 1.70158;
+				var p = 0;
+				var a = 1;
+				if (t === 0) {
+					return 0;
+				}
+				if ((t /= 1) == 1) {
+					return 1;
+				}
+				if (!p) {
+					p = 1 * 0.3;
+				}
+				if (a < Math.abs(1)) {
+					a = 1;
+					s = p / 4;
+				} else {
+					s = p / (2 * Math.PI) * Math.asin(1 / a);
+				}
+				return -(a * Math.pow(2, 10 * (t -= 1)) * Math.sin((t * 1 - s) * (2 * Math.PI) / p));
+			},
+			easeOutElastic: function(t) {
+				var s = 1.70158;
+				var p = 0;
+				var a = 1;
+				if (t === 0) {
+					return 0;
+				}
+				if ((t /= 1) == 1) {
+					return 1;
+				}
+				if (!p) {
+					p = 1 * 0.3;
+				}
+				if (a < Math.abs(1)) {
+					a = 1;
+					s = p / 4;
+				} else {
+					s = p / (2 * Math.PI) * Math.asin(1 / a);
+				}
+				return a * Math.pow(2, -10 * t) * Math.sin((t * 1 - s) * (2 * Math.PI) / p) + 1;
+			},
+			easeInOutElastic: function(t) {
+				var s = 1.70158;
+				var p = 0;
+				var a = 1;
+				if (t === 0) {
+					return 0;
+				}
+				if ((t /= 1 / 2) == 2) {
+					return 1;
+				}
+				if (!p) {
+					p = 1 * (0.3 * 1.5);
+				}
+				if (a < Math.abs(1)) {
+					a = 1;
+					s = p / 4;
+				} else {
+					s = p / (2 * Math.PI) * Math.asin(1 / a);
+				}
+				if (t < 1) {
+					return -0.5 * (a * Math.pow(2, 10 * (t -= 1)) * Math.sin((t * 1 - s) * (2 * Math.PI) / p));
+				}
+				return a * Math.pow(2, -10 * (t -= 1)) * Math.sin((t * 1 - s) * (2 * Math.PI) / p) * 0.5 + 1;
+			},
+			easeInBack: function(t) {
+				var s = 1.70158;
+				return 1 * (t /= 1) * t * ((s + 1) * t - s);
+			},
+			easeOutBack: function(t) {
+				var s = 1.70158;
+				return 1 * ((t = t / 1 - 1) * t * ((s + 1) * t + s) + 1);
+			},
+			easeInOutBack: function(t) {
+				var s = 1.70158;
+				if ((t /= 1 / 2) < 1) {
+					return 1 / 2 * (t * t * (((s *= (1.525)) + 1) * t - s));
+				}
+				return 1 / 2 * ((t -= 2) * t * (((s *= (1.525)) + 1) * t + s) + 2);
+			},
+			easeInBounce: function(t) {
+				return 1 - easingEffects.easeOutBounce(1 - t);
+			},
+			easeOutBounce: function(t) {
+				if ((t /= 1) < (1 / 2.75)) {
+					return 1 * (7.5625 * t * t);
+				} else if (t < (2 / 2.75)) {
+					return 1 * (7.5625 * (t -= (1.5 / 2.75)) * t + 0.75);
+				} else if (t < (2.5 / 2.75)) {
+					return 1 * (7.5625 * (t -= (2.25 / 2.75)) * t + 0.9375);
+				} else {
+					return 1 * (7.5625 * (t -= (2.625 / 2.75)) * t + 0.984375);
+				}
+			},
+			easeInOutBounce: function(t) {
+				if (t < 1 / 2) {
+					return easingEffects.easeInBounce(t * 2) * 0.5;
+				}
+				return easingEffects.easeOutBounce(t * 2 - 1) * 0.5 + 1 * 0.5;
+			}
+		},
+		//Request animation polyfill - http://www.paulirish.com/2011/requestanimationframe-for-smart-animating/
+		requestAnimFrame = helpers.requestAnimFrame = (function() {
+			return window.requestAnimationFrame ||
+				window.webkitRequestAnimationFrame ||
+				window.mozRequestAnimationFrame ||
+				window.oRequestAnimationFrame ||
+				window.msRequestAnimationFrame ||
+				function(callback) {
+					return window.setTimeout(callback, 1000 / 60);
+				};
+		})(),
+		cancelAnimFrame = helpers.cancelAnimFrame = (function() {
+			return window.cancelAnimationFrame ||
+				window.webkitCancelAnimationFrame ||
+				window.mozCancelAnimationFrame ||
+				window.oCancelAnimationFrame ||
+				window.msCancelAnimationFrame ||
+				function(callback) {
+					return window.clearTimeout(callback, 1000 / 60);
+				};
+		})(),
+		//-- DOM methods
+		getRelativePosition = helpers.getRelativePosition = function(evt, chart) {
+			var mouseX, mouseY;
+			var e = evt.originalEvent || evt,
+				canvas = evt.currentTarget || evt.srcElement,
+				boundingRect = canvas.getBoundingClientRect();
+
+			if (e.touches && e.touches.length > 0) {
+				mouseX = e.touches[0].clientX;
+				mouseY = e.touches[0].clientY;
+
+			} else {
+				mouseX = e.clientX;
+				mouseY = e.clientY;
+			}
+
+			// Scale mouse coordinates into canvas coordinates
+			// by following the pattern laid out by 'jerryj' in the comments of
+			// http://www.html5canvastutorials.com/advanced/html5-canvas-mouse-coordinates/
+
+			// We divide by the current device pixel ratio, because the canvas is scaled up by that amount in each direction. However
+			// the backend model is in unscaled coordinates. Since we are going to deal with our model coordinates, we go back here
+			mouseX = Math.round((mouseX - boundingRect.left) / (boundingRect.right - boundingRect.left) * canvas.width / chart.currentDevicePixelRatio);
+			mouseY = Math.round((mouseY - boundingRect.top) / (boundingRect.bottom - boundingRect.top) * canvas.height / chart.currentDevicePixelRatio);
+
+			return {
+				x: mouseX,
+				y: mouseY
+			};
+
+		},
+		addEvent = helpers.addEvent = function(node, eventType, method) {
+			if (node.addEventListener) {
+				node.addEventListener(eventType, method);
+			} else if (node.attachEvent) {
+				node.attachEvent("on" + eventType, method);
+			} else {
+				node["on" + eventType] = method;
+			}
+		},
+		removeEvent = helpers.removeEvent = function(node, eventType, handler) {
+			if (node.removeEventListener) {
+				node.removeEventListener(eventType, handler, false);
+			} else if (node.detachEvent) {
+				node.detachEvent("on" + eventType, handler);
+			} else {
+				node["on" + eventType] = noop;
+			}
+		},
+		bindEvents = helpers.bindEvents = function(chartInstance, arrayOfEvents, handler) {
+			// Create the events object if it's not already present
+			if (!chartInstance.events) chartInstance.events = {};
+
+			each(arrayOfEvents, function(eventName) {
+				chartInstance.events[eventName] = function() {
+					handler.apply(chartInstance, arguments);
+				};
+				addEvent(chartInstance.chart.canvas, eventName, chartInstance.events[eventName]);
+			});
+		},
+		unbindEvents = helpers.unbindEvents = function(chartInstance, arrayOfEvents) {
+			each(arrayOfEvents, function(handler, eventName) {
+				removeEvent(chartInstance.chart.canvas, eventName, handler);
+			});
+		},
+		getConstraintWidth = helpers.getConstraintWidth = function(domNode) { // returns Number or undefined if no constraint
+			var constrainedWidth;
+			var constrainedWNode = document.defaultView.getComputedStyle(domNode)['max-width'];
+			var constrainedWContainer = document.defaultView.getComputedStyle(domNode.parentNode)['max-width'];
+			var hasCWNode = constrainedWNode !== null && constrainedWNode !== "none";
+			var hasCWContainer = constrainedWContainer !== null && constrainedWContainer !== "none";
+
+			if (hasCWNode || hasCWContainer) {
+				constrainedWidth = Math.min((hasCWNode ? parseInt(constrainedWNode, 10) : Number.POSITIVE_INFINITY), (hasCWContainer ? parseInt(constrainedWContainer, 10) : Number.POSITIVE_INFINITY));
+			}
+			return constrainedWidth;
+		},
+		getConstraintHeight = helpers.getConstraintHeight = function(domNode) { // returns Number or undefined if no constraint
+
+			var constrainedHeight;
+			var constrainedHNode = document.defaultView.getComputedStyle(domNode)['max-height'];
+			var constrainedHContainer = document.defaultView.getComputedStyle(domNode.parentNode)['max-height'];
+			var hasCHNode = constrainedHNode !== null && constrainedHNode !== "none";
+			var hasCHContainer = constrainedHContainer !== null && constrainedHContainer !== "none";
+
+			if (constrainedHNode || constrainedHContainer) {
+				constrainedHeight = Math.min((hasCHNode ? parseInt(constrainedHNode, 10) : Number.POSITIVE_INFINITY), (hasCHContainer ? parseInt(constrainedHContainer, 10) : Number.POSITIVE_INFINITY));
+			}
+			return constrainedHeight;
+		},
+		getMaximumWidth = helpers.getMaximumWidth = function(domNode) {
+			var container = domNode.parentNode;
+			var padding = parseInt(getStyle(container, 'padding-left')) + parseInt(getStyle(container, 'padding-right'));
+
+			var w = container.clientWidth - padding;
+			var cw = getConstraintWidth(domNode);
+			if (cw !== undefined) {
+				w = Math.min(w, cw);
+			}
+
+			return w;
+		},
+		getMaximumHeight = helpers.getMaximumHeight = function(domNode) {
+			var container = domNode.parentNode;
+			var padding = parseInt(getStyle(container, 'padding-top')) + parseInt(getStyle(container, 'padding-bottom'));
+
+			var h = container.clientHeight - padding;
+			var ch = getConstraintHeight(domNode);
+			if (ch !== undefined) {
+				h = Math.min(h, ch);
+			}
+
+			return h;
+		},
+		getStyle = helpers.getStyle = function(el, property) {
+			return el.currentStyle ?
+				el.currentStyle[property] :
+				document.defaultView.getComputedStyle(el, null).getPropertyValue(property);
+		},
+		getMaximumSize = helpers.getMaximumSize = helpers.getMaximumWidth, // legacy support
+		retinaScale = helpers.retinaScale = function(chart) {
+			var ctx = chart.ctx;
+			var width = chart.canvas.width;
+			var height = chart.canvas.height;
+			var pixelRatio = chart.currentDevicePixelRatio = window.devicePixelRatio || 1;
+
+			if (pixelRatio !== 1) {
+				ctx.canvas.height = height * pixelRatio;
+				ctx.canvas.width = width * pixelRatio;
+				ctx.scale(pixelRatio, pixelRatio);
+
+				ctx.canvas.style.width = width + 'px';
+				ctx.canvas.style.height = height + 'px';
+
+				// Store the device pixel ratio so that we can go backwards in `destroy`.
+				// The devicePixelRatio changes with zoom, so there are no guarantees that it is the same
+				// when destroy is called
+				chart.originalDevicePixelRatio = chart.originalDevicePixelRatio || pixelRatio;
+			}
+		},
+		//-- Canvas methods
+		clear = helpers.clear = function(chart) {
+			chart.ctx.clearRect(0, 0, chart.width, chart.height);
+		},
+		fontString = helpers.fontString = function(pixelSize, fontStyle, fontFamily) {
+			return fontStyle + " " + pixelSize + "px " + fontFamily;
+		},
+		longestText = helpers.longestText = function(ctx, font, arrayOfStrings) {
+			ctx.font = font;
+			var longest = 0;
+			each(arrayOfStrings, function(string) {
+				var textWidth = ctx.measureText(string).width;
+				longest = (textWidth > longest) ? textWidth : longest;
+			});
+			return longest;
+		},
+		drawRoundedRectangle = helpers.drawRoundedRectangle = function(ctx, x, y, width, height, radius) {
+			ctx.beginPath();
+			ctx.moveTo(x + radius, y);
+			ctx.lineTo(x + width - radius, y);
+			ctx.quadraticCurveTo(x + width, y, x + width, y + radius);
+			ctx.lineTo(x + width, y + height - radius);
+			ctx.quadraticCurveTo(x + width, y + height, x + width - radius, y + height);
+			ctx.lineTo(x + radius, y + height);
+			ctx.quadraticCurveTo(x, y + height, x, y + height - radius);
+			ctx.lineTo(x, y + radius);
+			ctx.quadraticCurveTo(x, y, x + radius, y);
+			ctx.closePath();
+		},
+		color = helpers.color = function(color) {
+			if (!root.Color) {
+				console.log('Color.js not found!');
+				return color;
+			}
+			return root.Color(color);
+		},
+		addResizeListener = helpers.addResizeListener = function(node, callback) {
+			// Hide an iframe before the node
+			var hiddenIframe = document.createElement('iframe');
+			var hiddenIframeClass = 'chartjs-hidden-iframe';
+
+			if (hiddenIframe.classlist) {
+				// can use classlist
+				hiddenIframe.classlist.add(hiddenIframeClass);
+			} else {
+				hiddenIframe.setAttribute('class', hiddenIframeClass);
+			}
+
+			// Set the style
+			hiddenIframe.style.width = '100%';
+			hiddenIframe.style.display = 'block';
+			hiddenIframe.style.border = 0;
+			hiddenIframe.style.height = 0;
+			hiddenIframe.style.margin = 0;
+			hiddenIframe.style.position = 'absolute';
+			hiddenIframe.style.left = 0;
+			hiddenIframe.style.right = 0;
+			hiddenIframe.style.top = 0;
+			hiddenIframe.style.bottom = 0;
+
+			// Insert the iframe so that contentWindow is available
+			node.insertBefore(hiddenIframe, node.firstChild);
+
+			var timer = 0;
+			(hiddenIframe.contentWindow || hiddenIframe).onresize = function() {
+				if (callback) {
+					callback();
+				}
+			};
+		},
+		removeResizeListener = helpers.removeResizeListener = function(node) {
+			var hiddenIframe = node.querySelector('.chartjs-hidden-iframe');
+
+			// Remove the resize detect iframe
+			if (hiddenIframe) {
+				hiddenIframe.parentNode.removeChild(hiddenIframe);
+			}
+		},
+		isArray = helpers.isArray = function(obj) {
+			if (!Array.isArray) {
+				return Object.prototype.toString.call(arg) === '[object Array]';
+			}
+			return Array.isArray(obj);
+		},
+		isDatasetVisible = helpers.isDatasetVisible = function(dataset) {
+			return !dataset.hidden;
+		};
+
+	helpers.callCallback = function(fn, args, _tArg) {
+		if (fn && typeof fn.call === 'function') {
+			fn.apply(_tArg, args);
+		}
+	}
+}).call(this);

src/core/core.js

@@ -0,0 +1,119 @@
+/*!
+ * Chart.js
+ * http://chartjs.org/
+ * Version: {{ version }}
+ *
+ * Copyright 2015 Nick Downie
+ * Released under the MIT license
+ * https://github.com/nnnick/Chart.js/blob/master/LICENSE.md
+ */
+
+
+(function() {
+
+	"use strict";
+
+	//Declare root variable - window in the browser, global on the server
+	var root = this,
+		previous = root.Chart;
+
+	//Occupy the global variable of Chart, and create a simple base class
+	var Chart = function(context, config) {
+		this.config = config;
+
+		// Support a jQuery'd canvas element
+		if (context.length && context[0].getContext) {
+			context = context[0];
+		}
+
+		// Support a canvas domnode
+		if (context.getContext) {
+			context = context.getContext("2d");
+		}
+
+		this.ctx = context;
+		this.canvas = context.canvas;
+
+		// Figure out what the size of the chart will be.
+		// If the canvas has a specified width and height, we use those else
+		// we look to see if the canvas node has a CSS width and height. 
+		// If there is still no height, fill the parent container
+		this.width = context.canvas.width || parseInt(Chart.helpers.getStyle(context.canvas, 'width')) || Chart.helpers.getMaximumWidth(context.canvas);
+		this.height = context.canvas.height || parseInt(Chart.helpers.getStyle(context.canvas, 'height')) || Chart.helpers.getMaximumHeight(context.canvas);
+
+		this.aspectRatio = this.width / this.height;
+
+		if (isNaN(this.aspectRatio) || isFinite(this.aspectRatio) === false) {
+			// If the canvas has no size, try and figure out what the aspect ratio will be.
+			// Some charts prefer square canvases (pie, radar, etc). If that is specified, use that
+			// else use the canvas default ratio of 2
+			this.aspectRatio = config.aspectRatio !== undefined ? config.aspectRatio : 2;
+		}
+
+		// Store the original style of the element so we can set it back
+		this.originalCanvasStyleWidth = context.canvas.style.width;
+		this.originalCanvasStyleHeight = context.canvas.style.height;
+
+		// High pixel density displays - multiply the size of the canvas height/width by the device pixel ratio, then scale.
+		Chart.helpers.retinaScale(this);
+
+		if (config) {
+			this.controller = new Chart.Controller(this);
+		}
+
+		// Always bind this so that if the responsive state changes we still work
+		var _this = this;
+		Chart.helpers.addResizeListener(context.canvas.parentNode, function() {
+			if (_this.controller && _this.controller.config.options.responsive) {
+				_this.controller.resize();
+			}
+		});
+
+		return this.controller ? this.controller : this;
+
+	};
+
+	//Globally expose the defaults to allow for user updating/changing
+	Chart.defaults = {
+		global: {
+			responsive: true,
+			responsiveAnimationDuration: 0,
+			maintainAspectRatio: true,
+			events: ["mousemove", "mouseout", "click", "touchstart", "touchmove"],
+			hover: {
+				onHover: null,
+				mode: 'single',
+				animationDuration: 400,
+			},
+			onClick: null,
+			defaultColor: 'rgba(0,0,0,0.1)',
+
+			// Element defaults defined in element extensions
+			elements: {},
+
+			// Legend callback string
+			legendCallback: function(chart) {
+				var text = [];
+				text.push('<ul class="' + chart.id + '-legend">');
+				for (var i = 0; i < chart.data.datasets.length; i++) {
+					text.push('<li><span style="background-color:' + chart.data.datasets[i].backgroundColor + '">');
+					if (chart.data.datasets[i].label) {
+						text.push(chart.data.datasets[i].label);
+					}
+					text.push('</span></li>');
+				}
+				text.push('</ul>');
+
+				return text.join("");
+			}
+		},
+	};
+
+	root.Chart = Chart;
+
+	Chart.noConflict = function() {
+		root.Chart = previous;
+		return Chart;
+	};
+
+}).call(this);

src/core/core.layoutService.js

@@ -0,0 +1,324 @@
+(function() {
+	"use strict";
+
+	var root = this,
+		Chart = root.Chart,
+		helpers = Chart.helpers;
+
+	// The layout service is ver self explanatory.  It's responsible for the layout within a chart.  
+	// Scales, Legends and Plugins all rely on the layout service and can easily register to be placed anywhere they need
+	// It is this service's responsibility of carrying out that layout.
+	Chart.layoutService = {
+		defaults: {},
+
+		// Register a box to a chartInstance. A box is simply a reference to an object that requires layout. eg. Scales, Legend, Plugins.
+		addBox: function(chartInstance, box) {
+			if (!chartInstance.boxes) {
+				chartInstance.boxes = [];
+			}
+			chartInstance.boxes.push(box);
+		},
+
+		removeBox: function(chartInstance, box) {
+			if (!chartInstance.boxes) {
+				return;
+			}
+			chartInstance.boxes.splice(chartInstance.boxes.indexOf(box), 1);
+		},
+
+		// The most important function
+		update: function(chartInstance, width, height) {
+
+			if (!chartInstance) {
+				return;
+			}
+
+			var xPadding = width > 30 ? 5 : 2;
+			var yPadding = height > 30 ? 5 : 2;
+
+			var leftBoxes = helpers.where(chartInstance.boxes, function(box) {
+				return box.options.position == "left";
+			});
+			var rightBoxes = helpers.where(chartInstance.boxes, function(box) {
+				return box.options.position == "right";
+			});
+			var topBoxes = helpers.where(chartInstance.boxes, function(box) {
+				return box.options.position == "top";
+			});
+			var bottomBoxes = helpers.where(chartInstance.boxes, function(box) {
+				return box.options.position == "bottom";
+			});
+
+			// Boxes that overlay the chartarea such as the radialLinear scale
+			var chartAreaBoxes = helpers.where(chartInstance.boxes, function(box) {
+				return box.options.position == "chartArea";
+			});
+
+			function fullWidthSorter(a, b) {
+
+			}
+
+			// Ensure that full width boxes are at the very top / bottom
+			topBoxes.sort(function(a, b) {
+				return (b.options.fullWidth ? 1 : 0) - (a.options.fullWidth ? 1 : 0);
+			});
+			bottomBoxes.sort(function(a, b) {
+				return (a.options.fullWidth ? 1 : 0) - (b.options.fullWidth ? 1 : 0);
+			});
+
+			// Essentially we now have any number of boxes on each of the 4 sides.
+			// Our canvas looks like the following.
+			// The areas L1 and L2 are the left axes. R1 is the right axis, T1 is the top axis and 
+			// B1 is the bottom axis
+			// There are also 4 quadrant-like locations (left to right instead of clockwise) reserved for chart overlays
+			// These locations are single-box locations only, when trying to register a chartArea location that is already taken,
+			// an error will be thrown.
+			//
+			// |----------------------------------------------------|
+			// |                  T1 (Full Width)                   |
+			// |----------------------------------------------------|
+			// |    |    |                 T2                  |    |
+			// |    |----|-------------------------------------|----|
+			// |    |    | C1 |                           | C2 |    |
+			// |    |    |----|                           |----|    |
+			// |    |    |                                     |    |
+			// | L1 | L2 |           ChartArea (C0)            | R1 |
+			// |    |    |                                     |    |
+			// |    |    |----|                           |----|    |
+			// |    |    | C3 |                           | C4 |    |
+			// |    |----|-------------------------------------|----|
+			// |    |    |                 B1                  |    |
+			// |----------------------------------------------------|
+			// |                  B2 (Full Width)                   |
+			// |----------------------------------------------------|
+			//
+			// What we do to find the best sizing, we do the following
+			// 1. Determine the minimum size of the chart area. 
+			// 2. Split the remaining width equally between each vertical axis
+			// 3. Split the remaining height equally between each horizontal axis
+			// 4. Give each layout the maximum size it can be. The layout will return it's minimum size
+			// 5. Adjust the sizes of each axis based on it's minimum reported size. 
+			// 6. Refit each axis
+			// 7. Position each axis in the final location
+			// 8. Tell the chart the final location of the chart area
+			// 9. Tell any axes that overlay the chart area the positions of the chart area
+
+			// Step 1
+			var chartWidth = width - (2 * xPadding);
+			var chartHeight = height - (2 * yPadding);
+			var chartAreaWidth = chartWidth / 2; // min 50%
+			var chartAreaHeight = chartHeight / 2; // min 50%
+
+			// Step 2
+			var verticalBoxWidth = (width - chartAreaWidth) / (leftBoxes.length + rightBoxes.length);
+
+			// Step 3
+			var horizontalBoxHeight = (height - chartAreaHeight) / (topBoxes.length + bottomBoxes.length);
+
+			// Step 4
+			var maxChartAreaWidth = chartWidth;
+			var maxChartAreaHeight = chartHeight;
+			var minBoxSizes = [];
+
+			helpers.each(leftBoxes.concat(rightBoxes, topBoxes, bottomBoxes), getMinimumBoxSize);
+
+			function getMinimumBoxSize(box) {
+				var minSize;
+				var isHorizontal = box.isHorizontal();
+
+				if (isHorizontal) {
+					minSize = box.update(box.options.fullWidth ? chartWidth : maxChartAreaWidth, horizontalBoxHeight);
+					maxChartAreaHeight -= minSize.height;
+				} else {
+					minSize = box.update(verticalBoxWidth, chartAreaHeight);
+					maxChartAreaWidth -= minSize.width;
+				}
+
+				minBoxSizes.push({
+					horizontal: isHorizontal,
+					minSize: minSize,
+					box: box,
+				});
+			}
+
+			// At this point, maxChartAreaHeight and maxChartAreaWidth are the size the chart area could
+			// be if the axes are drawn at their minimum sizes.
+
+			// Steps 5 & 6
+			var totalLeftBoxesWidth = xPadding;
+			var totalRightBoxesWidth = xPadding;
+			var totalTopBoxesHeight = yPadding;
+			var totalBottomBoxesHeight = yPadding;
+
+			// Update, and calculate the left and right margins for the horizontal boxes
+			helpers.each(leftBoxes.concat(rightBoxes), fitBox);
+
+			helpers.each(leftBoxes, function(box) {
+				totalLeftBoxesWidth += box.width;
+			});
+
+			helpers.each(rightBoxes, function(box) {
+				totalRightBoxesWidth += box.width;
+			});
+
+			// Set the Left and Right margins for the horizontal boxes
+			helpers.each(topBoxes.concat(bottomBoxes), fitBox);
+
+			// Function to fit a box
+			function fitBox(box) {
+				var minBoxSize = helpers.findNextWhere(minBoxSizes, function(minBoxSize) {
+					return minBoxSize.box === box;
+				});
+
+				if (minBoxSize) {
+					if (box.isHorizontal()) {
+						var scaleMargin = {
+							left: totalLeftBoxesWidth,
+							right: totalRightBoxesWidth,
+							top: 0,
+							bottom: 0,
+						};
+
+						box.update(box.options.fullWidth ? chartWidth : maxChartAreaWidth, minBoxSize.minSize.height, scaleMargin);
+					} else {
+						box.update(minBoxSize.minSize.width, maxChartAreaHeight);
+					}
+				}
+			}
+
+			// Figure out how much margin is on the top and bottom of the vertical boxes
+			helpers.each(topBoxes, function(box) {
+				totalTopBoxesHeight += box.height;
+			});
+
+			helpers.each(bottomBoxes, function(box) {
+				totalBottomBoxesHeight += box.height;
+			});
+
+			// Let the left layout know the final margin
+			helpers.each(leftBoxes.concat(rightBoxes), finalFitVerticalBox);
+
+			function finalFitVerticalBox(box) {
+				var minBoxSize = helpers.findNextWhere(minBoxSizes, function(minBoxSize) {
+					return minBoxSize.box === box;
+				});
+
+				var scaleMargin = {
+					left: 0,
+					right: 0,
+					top: totalTopBoxesHeight,
+					bottom: totalBottomBoxesHeight
+				};
+
+				if (minBoxSize) {
+					box.update(minBoxSize.minSize.width, maxChartAreaHeight, scaleMargin);
+				}
+			}
+
+			// Recalculate because the size of each layout might have changed slightly due to the margins (label rotation for instance)
+			totalLeftBoxesWidth = xPadding;
+			totalRightBoxesWidth = xPadding;
+			totalTopBoxesHeight = yPadding;
+			totalBottomBoxesHeight = yPadding;
+
+			helpers.each(leftBoxes, function(box) {
+				totalLeftBoxesWidth += box.width;
+			});
+
+			helpers.each(rightBoxes, function(box) {
+				totalRightBoxesWidth += box.width;
+			});
+
+			helpers.each(topBoxes, function(box) {
+				totalTopBoxesHeight += box.height;
+			});
+			helpers.each(bottomBoxes, function(box) {
+				totalBottomBoxesHeight += box.height;
+			});
+
+			// Figure out if our chart area changed. This would occur if the dataset layout label rotation
+			// changed due to the application of the margins in step 6. Since we can only get bigger, this is safe to do
+			// without calling `fit` again
+			var newMaxChartAreaHeight = height - totalTopBoxesHeight - totalBottomBoxesHeight;
+			var newMaxChartAreaWidth = width - totalLeftBoxesWidth - totalRightBoxesWidth;
+
+			if (newMaxChartAreaWidth !== maxChartAreaWidth || newMaxChartAreaHeight !== maxChartAreaHeight) {
+				helpers.each(leftBoxes, function(box) {
+					box.height = newMaxChartAreaHeight;
+				});
+
+				helpers.each(rightBoxes, function(box) {
+					box.height = newMaxChartAreaHeight;
+				});
+
+				helpers.each(topBoxes, function(box) {
+					box.width = newMaxChartAreaWidth;
+				});
+
+				helpers.each(bottomBoxes, function(box) {
+					box.width = newMaxChartAreaWidth;
+				});
+
+				maxChartAreaHeight = newMaxChartAreaHeight;
+				maxChartAreaWidth = newMaxChartAreaWidth;
+			}
+
+			// Step 7 - Position the boxes
+			var left = xPadding;
+			var top = yPadding;
+			var right = 0;
+			var bottom = 0;
+
+			helpers.each(leftBoxes.concat(topBoxes), placeBox);
+
+			// Account for chart width and height
+			left += maxChartAreaWidth;
+			top += maxChartAreaHeight;
+
+			helpers.each(rightBoxes, placeBox);
+			helpers.each(bottomBoxes, placeBox);
+
+			function placeBox(box) {
+				if (box.isHorizontal()) {
+					box.left = box.options.fullWidth ? xPadding : totalLeftBoxesWidth;
+					box.right = box.options.fullWidth ? width - xPadding : totalLeftBoxesWidth + maxChartAreaWidth;
+					box.top = top;
+					box.bottom = top + box.height;
+
+					// Move to next point 
+					top = box.bottom;
+
+				} else {
+
+					box.left = left;
+					box.right = left + box.width;
+					box.top = totalTopBoxesHeight;
+					box.bottom = totalTopBoxesHeight + maxChartAreaHeight;
+
+					// Move to next point
+					left = box.right;
+				}
+			}
+
+			// Step 8
+			chartInstance.chartArea = {
+				left: totalLeftBoxesWidth,
+				top: totalTopBoxesHeight,
+				right: totalLeftBoxesWidth + maxChartAreaWidth,
+				bottom: totalTopBoxesHeight + maxChartAreaHeight,
+			};
+
+			// Step 9
+			helpers.each(chartAreaBoxes, function(box) {
+				box.left = chartInstance.chartArea.left;
+				box.top = chartInstance.chartArea.top;
+				box.right = chartInstance.chartArea.right;
+				box.bottom = chartInstance.chartArea.bottom;
+
+				box.update(maxChartAreaWidth, maxChartAreaHeight);
+			});
+		}
+	};
+
+
+}).call(this);

src/core/core.legend.js

@@ -0,0 +1,325 @@
+(function() {
+	"use strict";
+
+	var root = this,
+		Chart = root.Chart,
+		helpers = Chart.helpers;
+
+	Chart.defaults.global.legend = {
+
+		display: true,
+		position: 'top',
+		fullWidth: true, // marks that this box should take the full width of the canvas (pushing down other boxes)
+
+		// a callback that will handle 
+		onClick: function(e, legendItem) {
+			var dataset = this.chart.data.datasets[legendItem.datasetIndex];
+			dataset.hidden = !dataset.hidden;
+
+			// We hid a dataset ... rerender the chart
+			this.chart.update();
+		},
+
+		labels: {
+			boxWidth: 40,
+			fontSize: 12,
+			fontStyle: "normal",
+			fontColor: "#666",
+			fontFamily: "Helvetica Neue",
+			padding: 10,
+			// Generates labels shown in the legend
+			// Valid properties to return:
+			// text : text to display
+			// fillStyle : fill of coloured box
+			// strokeStyle: stroke of coloured box
+			// hidden : if this legend item refers to a hidden item
+			// lineCap : cap style for line
+			// lineDash
+			// lineDashOffset :
+			// lineJoin :
+			// lineWidth :
+			generateLabels: function(data) {
+				return data.datasets.map(function(dataset, i) {
+					return {
+						text: dataset.label,
+						fillStyle: dataset.backgroundColor,
+						hidden: dataset.hidden,
+						lineCap: dataset.borderCapStyle,
+						lineDash: dataset.borderDash,
+						lineDashOffset: dataset.borderDashOffset,
+						lineJoin: dataset.borderJoinStyle,
+						lineWidth: dataset.borderWidth,
+						strokeStyle: dataset.borderColor,
+
+						// Below is extra data used for toggling the datasets
+						datasetIndex: i
+					};
+				}, this);
+			}
+		},
+	};
+
+	Chart.Legend = Chart.Element.extend({
+
+		initialize: function(config) {
+			helpers.extend(this, config);
+
+			// Contains hit boxes for each dataset (in dataset order)
+			this.legendHitBoxes = [];
+
+			// Are we in doughnut mode which has a different data type
+			this.doughnutMode = false;
+		},
+
+		// These methods are ordered by lifecyle. Utilities then follow.
+		// Any function defined here is inherited by all legend types.
+		// Any function can be extended by the legend type
+
+		beforeUpdate: helpers.noop,
+		update: function(maxWidth, maxHeight, margins) {
+
+			// Update Lifecycle - Probably don't want to ever extend or overwrite this function ;)
+			this.beforeUpdate();
+
+			// Absorb the master measurements
+			this.maxWidth = maxWidth;
+			this.maxHeight = maxHeight;
+			this.margins = margins;
+
+			// Dimensions
+			this.beforeSetDimensions();
+			this.setDimensions();
+			this.afterSetDimensions();
+			// Labels
+			this.beforeBuildLabels();
+			this.buildLabels();
+			this.afterBuildLabels();
+
+			// Fit
+			this.beforeFit();
+			this.fit();
+			this.afterFit();
+			//
+			this.afterUpdate();
+
+			return this.minSize;
+
+		},
+		afterUpdate: helpers.noop,
+
+		//
+
+		beforeSetDimensions: helpers.noop,
+		setDimensions: function() {
+			// Set the unconstrained dimension before label rotation
+			if (this.isHorizontal()) {
+				// Reset position before calculating rotation
+				this.width = this.maxWidth;
+				this.left = 0;
+				this.right = this.width;
+			} else {
+				this.height = this.maxHeight;
+
+				// Reset position before calculating rotation
+				this.top = 0;
+				this.bottom = this.height;
+			}
+
+			// Reset padding
+			this.paddingLeft = 0;
+			this.paddingTop = 0;
+			this.paddingRight = 0;
+			this.paddingBottom = 0;
+
+			// Reset minSize
+			this.minSize = {
+				width: 0,
+				height: 0,
+			};
+		},
+		afterSetDimensions: helpers.noop,
+
+		//
+
+		beforeBuildLabels: helpers.noop,
+		buildLabels: function() {
+			this.legendItems = this.options.labels.generateLabels.call(this, this.chart.data);
+		},
+		afterBuildLabels: helpers.noop,
+
+		//
+
+		beforeFit: helpers.noop,
+		fit: function() {
+
+			var ctx = this.ctx;
+			var labelFont = helpers.fontString(this.options.labels.fontSize, this.options.labels.fontStyle, this.options.labels.fontFamily);
+
+			// Reset hit boxes
+			this.legendHitBoxes = [];
+
+			// Width
+			if (this.isHorizontal()) {
+				this.minSize.width = this.maxWidth; // fill all the width
+			} else {
+				this.minSize.width = this.options.display ? 10 : 0;
+			}
+
+			// height
+			if (this.isHorizontal()) {
+				this.minSize.height = this.options.display ? 10 : 0;
+			} else {
+				this.minSize.height = this.maxHeight; // fill all the height
+			}
+
+			// Increase sizes here
+			if (this.options.display) {
+				if (this.isHorizontal()) {
+					// Labels
+
+					// Width of each line of legend boxes. Labels wrap onto multiple lines when there are too many to fit on one
+					this.lineWidths = [0];
+					var totalHeight = this.legendItems.length ? this.options.labels.fontSize + (this.options.labels.padding) : 0;
+
+					ctx.textAlign = "left";
+					ctx.textBaseline = 'top';
+					ctx.font = labelFont;
+
+					helpers.each(this.legendItems, function(legendItem, i) {
+						var width = this.options.labels.boxWidth + (this.options.labels.fontSize / 2) + ctx.measureText(legendItem.text).width;
+						if (this.lineWidths[this.lineWidths.length - 1] + width >= this.width) {
+							totalHeight += this.options.labels.fontSize + (this.options.labels.padding);
+							this.lineWidths[this.lineWidths.length] = this.left;
+						}
+
+						// Store the hitbox width and height here. Final position will be updated in `draw`
+						this.legendHitBoxes[i] = {
+							left: 0,
+							top: 0,
+							width: width,
+							height: this.options.labels.fontSize,
+						};
+
+						this.lineWidths[this.lineWidths.length - 1] += width + this.options.labels.padding;
+					}, this);
+
+					this.minSize.height += totalHeight;
+
+				} else {
+					// TODO vertical
+				}
+			}
+
+			this.width = this.minSize.width;
+			this.height = this.minSize.height;
+
+		},
+		afterFit: helpers.noop,
+
+		// Shared Methods
+		isHorizontal: function() {
+			return this.options.position == "top" || this.options.position == "bottom";
+		},
+
+		// Actualy draw the legend on the canvas
+		draw: function() {
+			if (this.options.display) {
+				var ctx = this.ctx;
+				var cursor = {
+					x: this.left + ((this.width - this.lineWidths[0]) / 2),
+					y: this.top + this.options.labels.padding,
+					line: 0,
+				};
+
+				var labelFont = helpers.fontString(this.options.labels.fontSize, this.options.labels.fontStyle, this.options.labels.fontFamily);
+
+				// Horizontal
+				if (this.isHorizontal()) {
+					// Labels
+					ctx.textAlign = "left";
+					ctx.textBaseline = 'top';
+					ctx.lineWidth = 0.5;
+					ctx.strokeStyle = this.options.labels.fontColor; // for strikethrough effect
+					ctx.fillStyle = this.options.labels.fontColor; // render in correct colour
+					ctx.font = labelFont;
+
+					helpers.each(this.legendItems, function(legendItem, i) {
+						var textWidth = ctx.measureText(legendItem.text).width;
+						var width = this.options.labels.boxWidth + (this.options.labels.fontSize / 2) + textWidth;
+						
+						if (cursor.x + width >= this.width) {
+							cursor.y += this.options.labels.fontSize + (this.options.labels.padding);
+							cursor.line++;
+							cursor.x = this.left + ((this.width - this.lineWidths[cursor.line]) / 2);
+						}
+
+						// Set the ctx for the box
+						ctx.save();
+						
+						var itemOrDefault = function(item, defaulVal) {
+							return item !== undefined ? item : defaulVal;
+						};
+
+						ctx.fillStyle = itemOrDefault(legendItem.fillStyle, Chart.defaults.global.defaultColor);
+						ctx.lineCap = itemOrDefault(legendItem.lineCap, Chart.defaults.global.elements.line.borderCapStyle);
+						ctx.lineDashOffset = itemOrDefault(legendItem.lineDashOffset, Chart.defaults.global.elements.line.borderDashOffset);
+						ctx.lineJoin = itemOrDefault(legendItem.lineJoin, Chart.defaults.global.elements.line.borderJoinStyle);
+						ctx.lineWidth = itemOrDefault(legendItem.lineWidth, Chart.defaults.global.elements.line.borderWidth);
+						ctx.strokeStyle = itemOrDefault(legendItem.strokeStyle, Chart.defaults.global.defaultColor);
+						
+						if (ctx.setLineDash) {
+							// IE 9 and 10 do not support line dash
+							ctx.setLineDash(itemOrDefault(legendItem.lineDash, Chart.defaults.global.elements.line.borderDash));
+						}
+						
+						// Draw the box
+						ctx.strokeRect(cursor.x, cursor.y, this.options.labels.boxWidth, this.options.labels.fontSize);
+						ctx.fillRect(cursor.x, cursor.y, this.options.labels.boxWidth, this.options.labels.fontSize);
+						
+						ctx.restore();
+
+						this.legendHitBoxes[i].left = cursor.x;
+						this.legendHitBoxes[i].top = cursor.y;
+
+						// Fill the actual label
+						ctx.fillText(legendItem.text, this.options.labels.boxWidth + (this.options.labels.fontSize / 2) + cursor.x, cursor.y);
+
+						if (legendItem.hidden) {
+							// Strikethrough the text if hidden
+							ctx.beginPath();
+							ctx.lineWidth = 2;
+							ctx.moveTo(this.options.labels.boxWidth + (this.options.labels.fontSize / 2) + cursor.x, cursor.y + (this.options.labels.fontSize / 2));
+							ctx.lineTo(this.options.labels.boxWidth + (this.options.labels.fontSize / 2) + cursor.x + textWidth, cursor.y + (this.options.labels.fontSize / 2));
+							ctx.stroke();
+						}
+
+						cursor.x += width + (this.options.labels.padding);
+					}, this);
+				} else {
+
+				}
+			}
+		},
+
+		// Handle an event
+		handleEvent: function(e) {
+			var position = helpers.getRelativePosition(e, this.chart.chart);
+
+			if (position.x >= this.left && position.x <= this.right && position.y >= this.top && position.y <= this.bottom) {
+				// See if we are touching one of the dataset boxes
+				for (var i = 0; i < this.legendHitBoxes.length; ++i) {
+					var hitBox = this.legendHitBoxes[i];
+
+					if (position.x >= hitBox.left && position.x <= hitBox.left + hitBox.width && position.y >= hitBox.top && position.y <= hitBox.top + hitBox.height) {
+						// Touching an element
+						if (this.options.onClick) {
+							this.options.onClick.call(this, e, this.legendItems[i]);
+						}
+						break;
+					}
+				}
+			}
+		}
+	});
+
+}).call(this);

src/core/core.scale.js

@@ -0,0 +1,637 @@
+(function() {
+	"use strict";
+
+	var root = this,
+		Chart = root.Chart,
+		helpers = Chart.helpers;
+
+	Chart.defaults.scale = {
+		display: true,
+
+		// grid line settings
+		gridLines: {
+			display: true,
+			color: "rgba(0, 0, 0, 0.1)",
+			lineWidth: 1,
+			drawOnChartArea: true,
+			drawTicks: true,
+			zeroLineWidth: 1,
+			zeroLineColor: "rgba(0,0,0,0.25)",
+			offsetGridLines: false,
+		},
+
+		// scale label
+		scaleLabel: {
+			fontColor: '#666',
+			fontFamily: 'Helvetica Neue',
+			fontSize: 12,
+			fontStyle: 'normal',
+
+			// actual label
+			labelString: '',
+
+			// display property
+			display: false,
+		},
+
+		// label settings
+		ticks: {
+			beginAtZero: false,
+			fontSize: 12,
+			fontStyle: "normal",
+			fontColor: "#666",
+			fontFamily: "Helvetica Neue",
+			maxRotation: 90,
+			mirror: false,
+			padding: 10,
+			reverse: false,
+			display: true,
+			autoSkip: true,
+		    autoSkipPadding: 20,
+			callback: function(value) {
+				return '' + value;
+			},
+		},
+	};
+
+	Chart.Scale = Chart.Element.extend({
+
+		// These methods are ordered by lifecyle. Utilities then follow.
+		// Any function defined here is inherited by all scale types.
+		// Any function can be extended by the scale type
+
+		beforeUpdate: function() {
+			helpers.callCallback(this.options.beforeUpdate, [this]);
+		},
+		update: function(maxWidth, maxHeight, margins) {
+
+			// Update Lifecycle - Probably don't want to ever extend or overwrite this function ;)
+			this.beforeUpdate();
+
+			// Absorb the master measurements
+			this.maxWidth = maxWidth;
+			this.maxHeight = maxHeight;
+			this.margins = helpers.extend({
+				left: 0,
+				right: 0,
+				top: 0,
+				bottom: 0
+			}, margins);
+
+			// Dimensions
+			this.beforeSetDimensions();
+			this.setDimensions();
+			this.afterSetDimensions();
+
+			// Data min/max
+			this.beforeDataLimits();
+			this.determineDataLimits();
+			this.afterDataLimits();
+
+			// Ticks
+			this.beforeBuildTicks();
+			this.buildTicks();
+			this.afterBuildTicks();
+
+			this.beforeTickToLabelConversion();
+			this.convertTicksToLabels();
+			this.afterTickToLabelConversion();
+
+			// Tick Rotation
+			this.beforeCalculateTickRotation();
+			this.calculateTickRotation();
+			this.afterCalculateTickRotation();
+			// Fit
+			this.beforeFit();
+			this.fit();
+			this.afterFit();
+			//
+			this.afterUpdate();
+
+			return this.minSize;
+
+		},
+		afterUpdate: function() {
+			helpers.callCallback(this.options.afterUpdate, [this]);
+		},
+
+		//
+
+		beforeSetDimensions: function() {
+			helpers.callCallback(this.options.beforeSetDimensions, [this]);
+		},
+		setDimensions: function() {
+			// Set the unconstrained dimension before label rotation
+			if (this.isHorizontal()) {
+				// Reset position before calculating rotation
+				this.width = this.maxWidth;
+				this.left = 0;
+				this.right = this.width;
+			} else {
+				this.height = this.maxHeight;
+
+				// Reset position before calculating rotation
+				this.top = 0;
+				this.bottom = this.height;
+			}
+
+			// Reset padding
+			this.paddingLeft = 0;
+			this.paddingTop = 0;
+			this.paddingRight = 0;
+			this.paddingBottom = 0;
+		},
+		afterSetDimensions: function() {
+			helpers.callCallback(this.options.afterSetDimensions, [this]);
+		},
+
+		// Data limits
+		beforeDataLimits: function() {
+			helpers.callCallback(this.options.beforeDataLimits, [this]);
+		},
+		determineDataLimits: helpers.noop,
+		afterDataLimits: function() {
+			helpers.callCallback(this.options.afterDataLimits, [this]);
+		},
+
+		//
+		beforeBuildTicks: function() {
+			helpers.callCallback(this.options.beforeBuildTicks, [this]);
+		},
+		buildTicks: helpers.noop,
+		afterBuildTicks: function() {
+			helpers.callCallback(this.options.afterBuildTicks, [this]);
+		},
+
+		beforeTickToLabelConversion: function() {
+			helpers.callCallback(this.options.beforeTickToLabelConversion, [this]);
+		},
+		convertTicksToLabels: function() {
+			// Convert ticks to strings
+			this.ticks = this.ticks.map(function(numericalTick, index, ticks) {
+					if (this.options.ticks.userCallback) {
+						return this.options.ticks.userCallback(numericalTick, index, ticks);
+					}
+					return this.options.ticks.callback(numericalTick, index, ticks);
+				},
+				this);
+		},
+		afterTickToLabelConversion: function() {
+			helpers.callCallback(this.options.afterTickToLabelConversion, [this]);
+		},
+
+		//
+
+		beforeCalculateTickRotation: function() {
+			helpers.callCallback(this.options.beforeCalculateTickRotation, [this]);
+		},
+		calculateTickRotation: function() {
+			//Get the width of each grid by calculating the difference
+			//between x offsets between 0 and 1.
+			var labelFont = helpers.fontString(this.options.ticks.fontSize, this.options.ticks.fontStyle, this.options.ticks.fontFamily);
+			this.ctx.font = labelFont;
+
+			var firstWidth = this.ctx.measureText(this.ticks[0]).width;
+			var lastWidth = this.ctx.measureText(this.ticks[this.ticks.length - 1]).width;
+			var firstRotated;
+			var lastRotated;
+
+			this.paddingRight = lastWidth / 2 + 3;
+			this.paddingLeft = firstWidth / 2 + 3;
+
+			this.labelRotation = 0;
+
+			if (this.options.display && this.isHorizontal()) {
+				var originalLabelWidth = helpers.longestText(this.ctx, labelFont, this.ticks);
+				var cosRotation;
+				var sinRotation;
+
+				this.labelWidth = originalLabelWidth;
+
+				// Allow 3 pixels x2 padding either side for label readability
+				// only the index matters for a dataset scale, but we want a consistent interface between scales
+
+				var tickWidth = this.getPixelForTick(1) - this.getPixelForTick(0) - 6;
+
+				//Max label rotation can be set or default to 90 - also act as a loop counter
+				while (this.labelWidth > tickWidth && this.labelRotation < this.options.ticks.maxRotation) {
+					cosRotation = Math.cos(helpers.toRadians(this.labelRotation));
+					sinRotation = Math.sin(helpers.toRadians(this.labelRotation));
+
+					firstRotated = cosRotation * firstWidth;
+					lastRotated = cosRotation * lastWidth;
+
+					// We're right aligning the text now.
+					if (firstRotated + this.options.ticks.fontSize / 2 > this.yLabelWidth) {
+						this.paddingLeft = firstRotated + this.options.ticks.fontSize / 2;
+					}
+
+					this.paddingRight = this.options.ticks.fontSize / 2;
+
+					if (sinRotation * originalLabelWidth > this.maxHeight) {
+						// go back one step
+						this.labelRotation--;
+						break;
+					}
+
+					this.labelRotation++;
+					this.labelWidth = cosRotation * originalLabelWidth;
+
+				}
+			} else {
+				this.labelWidth = 0;
+				this.paddingRight = 0;
+				this.paddingLeft = 0;
+			}
+
+			if (this.margins) {
+				this.paddingLeft -= this.margins.left;
+				this.paddingRight -= this.margins.right;
+
+				this.paddingLeft = Math.max(this.paddingLeft, 0);
+				this.paddingRight = Math.max(this.paddingRight, 0);
+			}
+		},
+		afterCalculateTickRotation: function() {
+			helpers.callCallback(this.options.afterCalculateTickRotation, [this]);
+		},
+
+		//
+
+		beforeFit: function() {
+			helpers.callCallback(this.options.beforeFit, [this]);
+		},
+		fit: function() {
+
+			this.minSize = {
+				width: 0,
+				height: 0,
+			};
+
+			// Width
+			if (this.isHorizontal()) {
+				// subtract the margins to line up with the chartArea if we are a full width scale
+				this.minSize.width = this.isFullWidth() ? this.maxWidth - this.margins.left - this.margins.right : this.maxWidth;
+			} else {
+				this.minSize.width = this.options.gridLines.display && this.options.display ? 10 : 0;
+			}
+
+			// height
+			if (this.isHorizontal()) {
+				this.minSize.height = this.options.gridLines.display && this.options.display ? 10 : 0;
+			} else {
+				this.minSize.height = this.maxHeight; // fill all the height
+			}
+
+			// Are we showing a title for the scale?
+			if (this.options.scaleLabel.display) {
+				if (this.isHorizontal()) {
+					this.minSize.height += (this.options.scaleLabel.fontSize * 1.5);
+				} else {
+					this.minSize.width += (this.options.scaleLabel.fontSize * 1.5);
+				}
+			}
+
+			if (this.options.ticks.display && this.options.display) {
+				// Don't bother fitting the ticks if we are not showing them
+				var labelFont = helpers.fontString(this.options.ticks.fontSize,
+					this.options.ticks.fontStyle, this.options.ticks.fontFamily);
+
+				if (this.isHorizontal()) {
+					// A horizontal axis is more constrained by the height.
+					this.longestLabelWidth = helpers.longestText(this.ctx, labelFont, this.ticks);
+
+					// TODO - improve this calculation
+					var labelHeight = (Math.sin(helpers.toRadians(this.labelRotation)) * this.longestLabelWidth) + 1.5 * this.options.ticks.fontSize;
+
+					this.minSize.height = Math.min(this.maxHeight, this.minSize.height + labelHeight);
+
+					labelFont = helpers.fontString(this.options.ticks.fontSize, this.options.ticks.fontStyle, this.options.ticks.fontFamily);
+					this.ctx.font = labelFont;
+
+					var firstLabelWidth = this.ctx.measureText(this.ticks[0]).width;
+					var lastLabelWidth = this.ctx.measureText(this.ticks[this.ticks.length - 1]).width;
+
+					// Ensure that our ticks are always inside the canvas. When rotated, ticks are right aligned which means that the right padding is dominated
+					// by the font height 
+					var cosRotation = Math.cos(helpers.toRadians(this.labelRotation));
+					var sinRotation = Math.sin(helpers.toRadians(this.labelRotation));
+					this.paddingLeft = this.labelRotation !== 0 ? (cosRotation * firstLabelWidth) + 3 : firstLabelWidth / 2 + 3; // add 3 px to move away from canvas edges
+					this.paddingRight = this.labelRotation !== 0 ? (sinRotation * (this.options.ticks.fontSize / 2)) + 3 : lastLabelWidth / 2 + 3; // when rotated
+				} else {
+					// A vertical axis is more constrained by the width. Labels are the dominant factor here, so get that length first
+					var maxLabelWidth = this.maxWidth - this.minSize.width;
+					var largestTextWidth = helpers.longestText(this.ctx, labelFont, this.ticks);
+
+					// Account for padding
+					if (!this.options.ticks.mirror) {
+						largestTextWidth += this.options.ticks.padding;
+					}
+
+					if (largestTextWidth < maxLabelWidth) {
+						// We don't need all the room
+						this.minSize.width += largestTextWidth;
+					} else {
+						// Expand to max size
+						this.minSize.width = this.maxWidth;
+					}
+
+					this.paddingTop = this.options.ticks.fontSize / 2;
+					this.paddingBottom = this.options.ticks.fontSize / 2;
+				}
+			}
+
+			if (this.margins) {
+				this.paddingLeft -= this.margins.left;
+				this.paddingTop -= this.margins.top;
+				this.paddingRight -= this.margins.right;
+				this.paddingBottom -= this.margins.bottom;
+
+				this.paddingLeft = Math.max(this.paddingLeft, 0);
+				this.paddingTop = Math.max(this.paddingTop, 0);
+				this.paddingRight = Math.max(this.paddingRight, 0);
+				this.paddingBottom = Math.max(this.paddingBottom, 0);
+			}
+
+			this.width = this.minSize.width;
+			this.height = this.minSize.height;
+
+		},
+		afterFit: function() {
+			helpers.callCallback(this.options.afterFit, [this]);
+		},
+
+		// Shared Methods
+		isHorizontal: function() {
+			return this.options.position === "top" || this.options.position === "bottom";
+		},
+		isFullWidth: function() {
+			return (this.options.fullWidth);
+		},
+
+		// Get the correct value. NaN bad inputs, If the value type is object get the x or y based on whether we are horizontal or not
+		getRightValue: function getRightValue(rawValue) {
+			// Null and undefined values first
+			if (rawValue === null || typeof(rawValue) === 'undefined') {
+				return NaN;
+			}
+			// isNaN(object) returns true, so make sure NaN is checking for a number
+			if (typeof(rawValue) === 'number' && isNaN(rawValue)) {
+				return NaN;
+			}
+			// If it is in fact an object, dive in one more level
+			if (typeof(rawValue) === "object") {
+				if (rawValue instanceof Date) {
+					return rawValue;
+				} else {
+					return getRightValue(this.isHorizontal() ? rawValue.x : rawValue.y);
+				}
+			}
+
+			// Value is good, return it
+			return rawValue;
+		},
+
+		// Used to get the value to display in the tooltip for the data at the given index
+		// function getLabelForIndex(index, datasetIndex)
+		getLabelForIndex: helpers.noop,
+
+		// Used to get data value locations.  Value can either be an index or a numerical value
+		getPixelForValue: helpers.noop,
+
+		// Used for tick location, should 
+		getPixelForTick: function(index, includeOffset) {
+			if (this.isHorizontal()) {
+				var innerWidth = this.width - (this.paddingLeft + this.paddingRight);
+				var tickWidth = innerWidth / Math.max((this.ticks.length - ((this.options.gridLines.offsetGridLines) ? 0 : 1)), 1);
+				var pixel = (tickWidth * index) + this.paddingLeft;
+
+				if (includeOffset) {
+					pixel += tickWidth / 2;
+				}
+
+				var finalVal = this.left + Math.round(pixel);
+				finalVal += this.isFullWidth() ? this.margins.left : 0;
+				return finalVal;
+			} else {
+				var innerHeight = this.height - (this.paddingTop + this.paddingBottom);
+				return this.top + (index * (innerHeight / (this.ticks.length - 1)));
+			}
+		},
+
+		// Utility for getting the pixel location of a percentage of scale
+		getPixelForDecimal: function(decimal/*, includeOffset*/) {
+			if (this.isHorizontal()) {
+				var innerWidth = this.width - (this.paddingLeft + this.paddingRight);
+				var valueOffset = (innerWidth * decimal) + this.paddingLeft;
+
+				var finalVal = this.left + Math.round(valueOffset);
+				finalVal += this.isFullWidth() ? this.margins.left : 0;
+				return finalVal;
+			} else {
+				return this.top + (decimal * this.height);
+			}
+		},
+
+		// Actualy draw the scale on the canvas
+		// @param {rectangle} chartArea : the area of the chart to draw full grid lines on
+		draw: function(chartArea) {
+			if (this.options.display) {
+
+				var setContextLineSettings;
+				var isRotated = this.labelRotation !== 0;
+				var skipRatio;
+				var scaleLabelX;
+				var scaleLabelY;
+				var useAutoskipper = this.options.ticks.autoSkip;
+
+				// Make sure we draw text in the correct color and font
+				this.ctx.fillStyle = this.options.ticks.fontColor;
+				var labelFont = helpers.fontString(this.options.ticks.fontSize, this.options.ticks.fontStyle, this.options.ticks.fontFamily);
+
+				var cosRotation = Math.cos(helpers.toRadians(this.labelRotation));
+				var sinRotation = Math.sin(helpers.toRadians(this.labelRotation));
+				var longestRotatedLabel = this.longestLabelWidth * cosRotation;
+				var rotatedLabelHeight = this.options.ticks.fontSize * sinRotation;
+
+				if (this.isHorizontal()) {
+					setContextLineSettings = true;
+					var yTickStart = this.options.position === "bottom" ? this.top : this.bottom - 10;
+					var yTickEnd = this.options.position === "bottom" ? this.top + 10 : this.bottom;
+					skipRatio = false;
+
+					if (((longestRotatedLabel / 2) + this.options.ticks.autoSkipPadding) * this.ticks.length > (this.width - (this.paddingLeft + this.paddingRight))) {
+					    skipRatio = 1 + Math.floor((((longestRotatedLabel / 2) + this.options.ticks.autoSkipPadding) * this.ticks.length) / (this.width - (this.paddingLeft + this.paddingRight)));
+					}
+
+					if (!useAutoskipper) {
+						skipRatio = false;
+					}
+					
+					helpers.each(this.ticks, function(label, index) {
+						// Blank ticks
+						if ((skipRatio > 1 && index % skipRatio > 0) || (label === undefined || label === null)) {
+							return;
+						}
+						var xLineValue = this.getPixelForTick(index); // xvalues for grid lines
+						var xLabelValue = this.getPixelForTick(index, this.options.gridLines.offsetGridLines); // x values for ticks (need to consider offsetLabel option)
+
+						if (this.options.gridLines.display) {
+							if (index === (typeof this.zeroLineIndex !== 'undefined' ? this.zeroLineIndex : 0)) {
+								// Draw the first index specially
+								this.ctx.lineWidth = this.options.gridLines.zeroLineWidth;
+								this.ctx.strokeStyle = this.options.gridLines.zeroLineColor;
+								setContextLineSettings = true; // reset next time
+							} else if (setContextLineSettings) {
+								this.ctx.lineWidth = this.options.gridLines.lineWidth;
+								this.ctx.strokeStyle = this.options.gridLines.color;
+								setContextLineSettings = false;
+							}
+
+							xLineValue += helpers.aliasPixel(this.ctx.lineWidth);
+
+							// Draw the label area
+							this.ctx.beginPath();
+
+							if (this.options.gridLines.drawTicks) {
+								this.ctx.moveTo(xLineValue, yTickStart);
+								this.ctx.lineTo(xLineValue, yTickEnd);
+							}
+
+							// Draw the chart area
+							if (this.options.gridLines.drawOnChartArea) {
+								this.ctx.moveTo(xLineValue, chartArea.top);
+								this.ctx.lineTo(xLineValue, chartArea.bottom);
+							}
+
+							// Need to stroke in the loop because we are potentially changing line widths & colours
+							this.ctx.stroke();
+						}
+
+						if (this.options.ticks.display) {
+							this.ctx.save();
+							this.ctx.translate(xLabelValue, (isRotated) ? this.top + 12 : this.options.position === "top" ? this.bottom - 10 : this.top + 10);
+							this.ctx.rotate(helpers.toRadians(this.labelRotation) * -1);
+							this.ctx.font = labelFont;
+							this.ctx.textAlign = (isRotated) ? "right" : "center";
+							this.ctx.textBaseline = (isRotated) ? "middle" : this.options.position === "top" ? "bottom" : "top";
+							this.ctx.fillText(label, 0, 0);
+							this.ctx.restore();
+						}
+					}, this);
+
+					if (this.options.scaleLabel.display) {
+						// Draw the scale label
+						this.ctx.textAlign = "center";
+						this.ctx.textBaseline = 'middle';
+						this.ctx.fillStyle = this.options.scaleLabel.fontColor; // render in correct colour
+						this.ctx.font = helpers.fontString(this.options.scaleLabel.fontSize, this.options.scaleLabel.fontStyle, this.options.scaleLabel.fontFamily);
+
+						scaleLabelX = this.left + ((this.right - this.left) / 2); // midpoint of the width
+						scaleLabelY = this.options.position === 'bottom' ? this.bottom - (this.options.scaleLabel.fontSize / 2) : this.top + (this.options.scaleLabel.fontSize / 2);
+
+						this.ctx.fillText(this.options.scaleLabel.labelString, scaleLabelX, scaleLabelY);
+					}
+
+				} else {
+					setContextLineSettings = true;
+					var xTickStart = this.options.position === "right" ? this.left : this.right - 5;
+					var xTickEnd = this.options.position === "right" ? this.left + 5 : this.right;
+
+					helpers.each(this.ticks, function(label, index) {
+						// If the callback returned a null or undefined value, do not draw this line
+						if (label === undefined || label === null) {
+							return;
+						}
+
+						var yLineValue = this.getPixelForTick(index); // xvalues for grid lines
+
+						if (this.options.gridLines.display) {
+							if (index === (typeof this.zeroLineIndex !== 'undefined' ? this.zeroLineIndex : 0)) {
+								// Draw the first index specially
+								this.ctx.lineWidth = this.options.gridLines.zeroLineWidth;
+								this.ctx.strokeStyle = this.options.gridLines.zeroLineColor;
+								setContextLineSettings = true; // reset next time
+							} else if (setContextLineSettings) {
+								this.ctx.lineWidth = this.options.gridLines.lineWidth;
+								this.ctx.strokeStyle = this.options.gridLines.color;
+								setContextLineSettings = false;
+							}
+
+							yLineValue += helpers.aliasPixel(this.ctx.lineWidth);
+
+							// Draw the label area
+							this.ctx.beginPath();
+
+							if (this.options.gridLines.drawTicks) {
+								this.ctx.moveTo(xTickStart, yLineValue);
+								this.ctx.lineTo(xTickEnd, yLineValue);
+							}
+
+							// Draw the chart area
+							if (this.options.gridLines.drawOnChartArea) {
+								this.ctx.moveTo(chartArea.left, yLineValue);
+								this.ctx.lineTo(chartArea.right, yLineValue);
+							}
+
+							// Need to stroke in the loop because we are potentially changing line widths & colours
+							this.ctx.stroke();
+						}
+
+						if (this.options.ticks.display) {
+							var xLabelValue;
+							var yLabelValue = this.getPixelForTick(index, this.options.gridLines.offsetGridLines); // x values for ticks (need to consider offsetLabel option)
+
+							this.ctx.save();
+
+							if (this.options.position === "left") {
+								if (this.options.ticks.mirror) {
+									xLabelValue = this.right + this.options.ticks.padding;
+									this.ctx.textAlign = "left";
+								} else {
+									xLabelValue = this.right - this.options.ticks.padding;
+									this.ctx.textAlign = "right";
+								}
+							} else {
+								// right side
+								if (this.options.ticks.mirror) {
+									xLabelValue = this.left - this.options.ticks.padding;
+									this.ctx.textAlign = "right";
+								} else {
+									xLabelValue = this.left + this.options.ticks.padding;
+									this.ctx.textAlign = "left";
+								}
+							}
+
+
+							this.ctx.translate(xLabelValue, yLabelValue);
+							this.ctx.rotate(helpers.toRadians(this.labelRotation) * -1);
+							this.ctx.font = labelFont;
+							this.ctx.textBaseline = "middle";
+							this.ctx.fillText(label, 0, 0);
+							this.ctx.restore();
+						}
+					}, this);
+
+					if (this.options.scaleLabel.display) {
+						// Draw the scale label
+						scaleLabelX = this.options.position === 'left' ? this.left + (this.options.scaleLabel.fontSize / 2) : this.right - (this.options.scaleLabel.fontSize / 2);
+						scaleLabelY = this.top + ((this.bottom - this.top) / 2);
+						var rotation = this.options.position === 'left' ? -0.5 * Math.PI : 0.5 * Math.PI;
+
+						this.ctx.save();
+						this.ctx.translate(scaleLabelX, scaleLabelY);
+						this.ctx.rotate(rotation);
+						this.ctx.textAlign = "center";
+						this.ctx.fillStyle = this.options.scaleLabel.fontColor; // render in correct colour
+						this.ctx.font = helpers.fontString(this.options.scaleLabel.fontSize, this.options.scaleLabel.fontStyle, this.options.scaleLabel.fontFamily);
+						this.ctx.textBaseline = 'middle';
+						this.ctx.fillText(this.options.scaleLabel.labelString, 0, 0);
+						this.ctx.restore();
+					}
+				}
+			}
+		}
+	});
+
+}).call(this);

src/core/core.scaleService.js

@@ -0,0 +1,37 @@
+(function() {
+	"use strict";
+
+	var root = this,
+		Chart = root.Chart,
+		helpers = Chart.helpers;
+
+	Chart.scaleService = {
+		// Scale registration object. Extensions can register new scale types (such as log or DB scales) and then
+		// use the new chart options to grab the correct scale
+		constructors: {},
+		// Use a registration function so that we can move to an ES6 map when we no longer need to support
+		// old browsers
+
+		// Scale config defaults
+		defaults: {},
+		registerScaleType: function(type, scaleConstructor, defaults) {
+			this.constructors[type] = scaleConstructor;
+			this.defaults[type] = helpers.clone(defaults);
+		},
+		getScaleConstructor: function(type) {
+			return this.constructors.hasOwnProperty(type) ? this.constructors[type] : undefined;
+		},
+		getScaleDefaults: function(type) {
+			// Return the scale defaults merged with the global settings so that we always use the latest ones
+			return this.defaults.hasOwnProperty(type) ? helpers.scaleMerge(Chart.defaults.scale, this.defaults[type]) : {};
+		},
+		addScalesToLayout: function(chartInstance) {
+			// Adds each scale to the chart.boxes array to be sized accordingly
+			helpers.each(chartInstance.scales, function(scale) {
+				Chart.layoutService.addBox(chartInstance, scale);
+			});
+		},
+	};
+
+
+}).call(this);

src/core/core.title.js

@@ -0,0 +1,195 @@
+(function() {
+	"use strict";
+
+	var root = this,
+		Chart = root.Chart,
+		helpers = Chart.helpers;
+
+	Chart.defaults.global.title = {
+		display: false,
+		position: 'top',
+		fullWidth: true, // marks that this box should take the full width of the canvas (pushing down other boxes)
+
+		fontColor: '#666',
+		fontFamily: 'Helvetica Neue',
+		fontSize: 12,
+		fontStyle: 'bold',
+		padding: 10,
+
+		// actual title
+		text: '',
+	};
+
+	Chart.Title = Chart.Element.extend({
+
+		initialize: function(config) {
+			helpers.extend(this, config);
+			this.options = helpers.configMerge(Chart.defaults.global.title, config.options);
+
+			// Contains hit boxes for each dataset (in dataset order)
+			this.legendHitBoxes = [];
+		},
+
+		// These methods are ordered by lifecyle. Utilities then follow.
+
+		beforeUpdate: helpers.noop,
+		update: function(maxWidth, maxHeight, margins) {
+
+			// Update Lifecycle - Probably don't want to ever extend or overwrite this function ;)
+			this.beforeUpdate();
+
+			// Absorb the master measurements
+			this.maxWidth = maxWidth;
+			this.maxHeight = maxHeight;
+			this.margins = margins;
+
+			// Dimensions
+			this.beforeSetDimensions();
+			this.setDimensions();
+			this.afterSetDimensions();
+			// Labels
+			this.beforeBuildLabels();
+			this.buildLabels();
+			this.afterBuildLabels();
+
+			// Fit
+			this.beforeFit();
+			this.fit();
+			this.afterFit();
+			//
+			this.afterUpdate();
+
+			return this.minSize;
+
+		},
+		afterUpdate: helpers.noop,
+
+		//
+
+		beforeSetDimensions: helpers.noop,
+		setDimensions: function() {
+			// Set the unconstrained dimension before label rotation
+			if (this.isHorizontal()) {
+				// Reset position before calculating rotation
+				this.width = this.maxWidth;
+				this.left = 0;
+				this.right = this.width;
+			} else {
+				this.height = this.maxHeight;
+
+				// Reset position before calculating rotation
+				this.top = 0;
+				this.bottom = this.height;
+			}
+
+			// Reset padding
+			this.paddingLeft = 0;
+			this.paddingTop = 0;
+			this.paddingRight = 0;
+			this.paddingBottom = 0;
+
+			// Reset minSize
+			this.minSize = {
+				width: 0,
+				height: 0,
+			};
+		},
+		afterSetDimensions: helpers.noop,
+
+		//
+
+		beforeBuildLabels: helpers.noop,
+		buildLabels: helpers.noop,
+		afterBuildLabels: helpers.noop,
+
+		//
+
+		beforeFit: helpers.noop,
+		fit: function() {
+
+			var ctx = this.ctx;
+			var titleFont = helpers.fontString(this.options.fontSize, this.options.fontStyle, this.options.fontFamily);
+
+			// Width
+			if (this.isHorizontal()) {
+				this.minSize.width = this.maxWidth; // fill all the width
+			} else {
+				this.minSize.width = 0;
+			}
+
+			// height
+			if (this.isHorizontal()) {
+				this.minSize.height = 0;
+			} else {
+				this.minSize.height = this.maxHeight; // fill all the height
+			}
+
+			// Increase sizes here
+			if (this.isHorizontal()) {
+
+				// Title
+				if (this.options.display) {
+					this.minSize.height += this.options.fontSize + (this.options.padding * 2);
+				}
+			} else {
+				// TODO vertical
+			}
+
+			this.width = this.minSize.width;
+			this.height = this.minSize.height;
+
+		},
+		afterFit: helpers.noop,
+
+		// Shared Methods
+		isHorizontal: function() {
+			return this.options.position == "top" || this.options.position == "bottom";
+		},
+
+		// Actualy draw the title block on the canvas
+		draw: function() {
+			if (this.options.display) {
+				var ctx = this.ctx;
+				var titleX, titleY;
+
+				// Horizontal
+				if (this.isHorizontal()) {
+					// Title
+					if (this.options.display) {
+
+						ctx.textAlign = "center";
+						ctx.textBaseline = 'middle';
+						ctx.fillStyle = this.options.fontColor; // render in correct colour
+						ctx.font = helpers.fontString(this.options.fontSize, this.options.fontStyle, this.options.fontFamily);
+
+						titleX = this.left + ((this.right - this.left) / 2); // midpoint of the width
+						titleY = this.top + ((this.bottom - this.top) / 2); // midpoint of the height
+
+						ctx.fillText(this.options.text, titleX, titleY);
+					}
+				} else {
+
+					// Title
+					if (this.options.display) {
+						titleX = this.options.position == 'left' ? this.left + (this.options.fontSize / 2) : this.right - (this.options.fontSize / 2);
+						titleY = this.top + ((this.bottom - this.top) / 2);
+						var rotation = this.options.position == 'left' ? -0.5 * Math.PI : 0.5 * Math.PI;
+
+						ctx.save();
+						ctx.translate(titleX, titleY);
+						ctx.rotate(rotation);
+						ctx.textAlign = "center";
+						ctx.fillStyle = this.options.fontColor; // render in correct colour
+						ctx.font = helpers.fontString(this.options.fontSize, this.options.fontStyle, this.options.fontFamily);
+						ctx.textBaseline = 'middle';
+						ctx.fillText(this.options.text, 0, 0);
+						ctx.restore();
+
+					}
+
+				}
+			}
+		}
+	});
+
+}).call(this);

src/core/core.tooltip.js

@@ -0,0 +1,584 @@
+(function() {
+
+	"use strict";
+
+	var root = this,
+		Chart = root.Chart,
+		helpers = Chart.helpers;
+
+	Chart.defaults.global.tooltips = {
+		enabled: true,
+		custom: null,
+		mode: 'single',
+		backgroundColor: "rgba(0,0,0,0.8)",
+		titleFontFamily: "'Helvetica Neue', 'Helvetica', 'Arial', sans-serif",
+		titleFontSize: 12,
+		titleFontStyle: "bold",
+		titleSpacing: 2,
+		titleMarginBottom: 6,
+		titleColor: "#fff",
+		titleAlign: "left",
+		bodyFontFamily: "'Helvetica Neue', 'Helvetica', 'Arial', sans-serif",
+		bodyFontSize: 12,
+		bodyFontStyle: "normal",
+		bodySpacing: 2,
+		bodyColor: "#fff",
+		bodyAlign: "left",
+		footerFontFamily: "'Helvetica Neue', 'Helvetica', 'Arial', sans-serif",
+		footerFontSize: 12,
+		footerFontStyle: "bold",
+		footerSpacing: 2,
+		footerMarginTop: 6,
+		footerColor: "#fff",
+		footerAlign: "left",
+		yPadding: 6,
+		xPadding: 6,
+		caretSize: 5,
+		cornerRadius: 6,
+		multiKeyBackground: '#fff',
+		callbacks: {
+			// Args are: (tooltipItems, data)
+			beforeTitle: helpers.noop,
+			title: function(tooltipItems, data) {
+				// Pick first xLabel for now
+				var title = '';
+
+				if (tooltipItems.length > 0) {
+					if (tooltipItems[0].xLabel) {
+						title = tooltipItems[0].xLabel;
+					} else if (data.labels.length > 0 && tooltipItems[0].index < data.labels.length) {
+						title = data.labels[tooltipItems[0].index];
+					}
+				}
+
+				return title;
+			},
+			afterTitle: helpers.noop,
+
+			// Args are: (tooltipItems, data)
+			beforeBody: helpers.noop,
+
+			// Args are: (tooltipItem, data)
+			beforeLabel: helpers.noop,
+			label: function(tooltipItem, data) {
+				var datasetLabel = data.datasets[tooltipItem.datasetIndex].label || '';
+				return datasetLabel + ': ' + tooltipItem.yLabel;
+			},
+			afterLabel: helpers.noop,
+
+			// Args are: (tooltipItems, data)
+			afterBody: helpers.noop,
+
+			// Args are: (tooltipItems, data)
+			beforeFooter: helpers.noop,
+			footer: helpers.noop,
+			afterFooter: helpers.noop,
+		},
+	};
+
+	// Helper to push or concat based on if the 2nd parameter is an array or not
+	function pushOrConcat(base, toPush) {
+		if (toPush) {
+			if (helpers.isArray(toPush)) {
+				base = base.concat(toPush);
+			} else {
+				base.push(toPush);
+			}
+		}
+
+		return base;
+	}
+
+	Chart.Tooltip = Chart.Element.extend({
+		initialize: function() {
+			var options = this._options;
+			helpers.extend(this, {
+				_model: {
+					// Positioning
+					xPadding: options.tooltips.xPadding,
+					yPadding: options.tooltips.yPadding,
+
+					// Body
+					bodyColor: options.tooltips.bodyColor,
+					_bodyFontFamily: options.tooltips.bodyFontFamily,
+					_bodyFontStyle: options.tooltips.bodyFontStyle,
+					_bodyAlign: options.tooltips.bodyAlign,
+					bodyFontSize: options.tooltips.bodyFontSize,
+					bodySpacing: options.tooltips.bodySpacing,
+
+					// Title
+					titleColor: options.tooltips.titleColor,
+					_titleFontFamily: options.tooltips.titleFontFamily,
+					_titleFontStyle: options.tooltips.titleFontStyle,
+					titleFontSize: options.tooltips.titleFontSize,
+					_titleAlign: options.tooltips.titleAlign,
+					titleSpacing: options.tooltips.titleSpacing,
+					titleMarginBottom: options.tooltips.titleMarginBottom,
+
+					// Footer
+					footerColor: options.tooltips.footerColor,
+					_footerFontFamily: options.tooltips.footerFontFamily,
+					_footerFontStyle: options.tooltips.footerFontStyle,
+					footerFontSize: options.tooltips.footerFontSize,
+					_footerAlign: options.tooltips.footerAlign,
+					footerSpacing: options.tooltips.footerSpacing,
+					footerMarginTop: options.tooltips.footerMarginTop,
+
+					// Appearance
+					caretSize: options.tooltips.caretSize,
+					cornerRadius: options.tooltips.cornerRadius,
+					backgroundColor: options.tooltips.backgroundColor,
+					opacity: 0,
+					legendColorBackground: options.tooltips.multiKeyBackground,
+				},
+			});
+		},
+
+		// Get the title
+		// Args are: (tooltipItem, data)
+		getTitle: function() {
+			var beforeTitle = this._options.tooltips.callbacks.beforeTitle.apply(this, arguments),
+				title = this._options.tooltips.callbacks.title.apply(this, arguments),
+				afterTitle = this._options.tooltips.callbacks.afterTitle.apply(this, arguments);
+
+			var lines = [];
+			lines = pushOrConcat(lines, beforeTitle);
+			lines = pushOrConcat(lines, title);
+			lines = pushOrConcat(lines, afterTitle);
+
+			return lines;
+		},
+
+		// Args are: (tooltipItem, data)
+		getBeforeBody: function() {
+			var lines = this._options.tooltips.callbacks.beforeBody.apply(this, arguments);
+			return helpers.isArray(lines) ? lines : lines !== undefined ? [lines] : [];
+		},
+
+		// Args are: (tooltipItem, data)
+		getBody: function(tooltipItems, data) {
+			var lines = [];
+
+			helpers.each(tooltipItems, function(bodyItem) {
+				var beforeLabel = this._options.tooltips.callbacks.beforeLabel.call(this, bodyItem, data) || '';
+				var bodyLabel = this._options.tooltips.callbacks.label.call(this, bodyItem, data) || '';
+				var afterLabel = this._options.tooltips.callbacks.afterLabel.call(this, bodyItem, data) || '';
+
+				lines.push(beforeLabel + bodyLabel + afterLabel);
+			}, this);
+
+			return lines;
+		},
+
+		// Args are: (tooltipItem, data)
+		getAfterBody: function() {
+			var lines = this._options.tooltips.callbacks.afterBody.apply(this, arguments);
+			return helpers.isArray(lines) ? lines : lines !== undefined ? [lines] : [];
+		},
+
+		// Get the footer and beforeFooter and afterFooter lines
+		// Args are: (tooltipItem, data)
+		getFooter: function() {
+			var beforeFooter = this._options.tooltips.callbacks.beforeFooter.apply(this, arguments);
+			var footer = this._options.tooltips.callbacks.footer.apply(this, arguments);
+			var afterFooter = this._options.tooltips.callbacks.afterFooter.apply(this, arguments);
+
+			var lines = [];
+			lines = pushOrConcat(lines, beforeFooter);
+			lines = pushOrConcat(lines, footer);
+			lines = pushOrConcat(lines, afterFooter);
+
+			return lines;
+		},
+
+		getAveragePosition: function(elements){
+
+			if(!elements.length){
+				return false;
+			}
+
+			var xPositions = [];
+			var yPositions = [];
+
+			helpers.each(elements, function(el){
+				if(el) {
+					var pos = el.tooltipPosition();
+					xPositions.push(pos.x);
+					yPositions.push(pos.y);
+				}
+			});
+
+			var x = 0, y = 0;
+			for (var i = 0; i < xPositions.length; i++) {
+				x += xPositions[i];
+				y += yPositions[i];
+			}
+
+			return {
+				x: Math.round(x / xPositions.length),
+				y: Math.round(y / xPositions.length)
+			};
+
+		},
+
+		update: function(changed) {
+			if (this._active.length){
+				this._model.opacity = 1;
+
+				var element = this._active[0],
+					labelColors = [],
+					tooltipPosition;
+
+				var tooltipItems = [];
+
+				if (this._options.tooltips.mode === 'single') {
+					var yScale = element._yScale || element._scale; // handle radar || polarArea charts
+					tooltipItems.push({
+						xLabel: element._xScale ? element._xScale.getLabelForIndex(element._index, element._datasetIndex) : '',
+						yLabel: yScale ? yScale.getLabelForIndex(element._index, element._datasetIndex) : '',
+						index: element._index,
+						datasetIndex: element._datasetIndex,
+					});
+					tooltipPosition = this.getAveragePosition(this._active);
+				} else {
+					helpers.each(this._data.datasets, function(dataset, datasetIndex) {
+						if (!helpers.isDatasetVisible(dataset)) {
+							return;
+						}
+						var currentElement = dataset.metaData[element._index];
+						if (currentElement) {
+							var yScale = element._yScale || element._scale; // handle radar || polarArea charts
+
+							tooltipItems.push({
+								xLabel: currentElement._xScale ? currentElement._xScale.getLabelForIndex(currentElement._index, currentElement._datasetIndex) : '',
+								yLabel: yScale ? yScale.getLabelForIndex(currentElement._index, currentElement._datasetIndex) : '',
+								index: element._index,
+								datasetIndex: datasetIndex,
+							});
+						}
+					});
+
+					helpers.each(this._active, function(active) {
+						if (active) {
+						  labelColors.push({
+						  	borderColor: active._view.borderColor,
+						  	backgroundColor: active._view.backgroundColor
+						  });
+						}
+					}, this);
+
+					tooltipPosition = this.getAveragePosition(this._active);
+					tooltipPosition.y = this._active[0]._yScale.getPixelForDecimal(0.5);
+				}
+
+				// Build the Text Lines
+				helpers.extend(this._model, {
+					title: this.getTitle(tooltipItems, this._data),
+					beforeBody: this.getBeforeBody(tooltipItems, this._data),
+					body: this.getBody(tooltipItems, this._data),
+					afterBody: this.getAfterBody(tooltipItems, this._data),
+					footer: this.getFooter(tooltipItems, this._data),
+				});
+
+				helpers.extend(this._model, {
+					x: Math.round(tooltipPosition.x),
+					y: Math.round(tooltipPosition.y),
+					caretPadding: helpers.getValueOrDefault(tooltipPosition.padding, 2),
+					labelColors: labelColors,
+				});
+
+				// We need to determine alignment of 
+				var tooltipSize = this.getTooltipSize(this._model);
+				this.determineAlignment(tooltipSize); // Smart Tooltip placement to stay on the canvas
+
+				helpers.extend(this._model, this.getBackgroundPoint(this._model, tooltipSize));
+			}
+			else{
+				this._model.opacity = 0;
+			}
+
+			if (changed && this._options.tooltips.custom) {
+				this._options.tooltips.custom.call(this, this._model);
+			}
+
+			return this;
+		},
+		getTooltipSize: function getTooltipSize(vm) {
+			var ctx = this._chart.ctx;
+
+			var size = {
+				height: vm.yPadding * 2, // Tooltip Padding
+				width: 0
+			};
+			var combinedBodyLength = vm.body.length + vm.beforeBody.length + vm.afterBody.length;
+
+			size.height += vm.title.length * vm.titleFontSize; // Title Lines
+			size.height += (vm.title.length - 1) * vm.titleSpacing; // Title Line Spacing
+			size.height += vm.title.length ? vm.titleMarginBottom : 0; // Title's bottom Margin
+			size.height += combinedBodyLength * vm.bodyFontSize; // Body Lines
+			size.height += combinedBodyLength ? (combinedBodyLength - 1) * vm.bodySpacing : 0; // Body Line Spacing
+			size.height += vm.footer.length ? vm.footerMarginTop : 0; // Footer Margin
+			size.height += vm.footer.length * (vm.footerFontSize); // Footer Lines
+			size.height += vm.footer.length ? (vm.footer.length - 1) * vm.footerSpacing : 0; // Footer Line Spacing
+
+			// Width
+			ctx.font = helpers.fontString(vm.titleFontSize, vm._titleFontStyle, vm._titleFontFamily);
+			helpers.each(vm.title, function(line) {
+				size.width = Math.max(size.width, ctx.measureText(line).width);
+			});
+
+			ctx.font = helpers.fontString(vm.bodyFontSize, vm._bodyFontStyle, vm._bodyFontFamily);
+			helpers.each(vm.beforeBody.concat(vm.afterBody), function(line) {
+				size.width = Math.max(size.width, ctx.measureText(line).width);
+			}, this);
+			helpers.each(vm.body, function(line) {
+				size.width = Math.max(size.width, ctx.measureText(line).width + (this._options.tooltips.mode !== 'single' ? (vm.bodyFontSize + 2) : 0));
+			}, this);
+
+			ctx.font = helpers.fontString(vm.footerFontSize, vm._footerFontStyle, vm._footerFontFamily);
+			helpers.each(vm.footer, function(line) {
+				size.width = Math.max(size.width, ctx.measureText(line).width);
+			});
+			size.width += 2 * vm.xPadding;
+
+			return size;
+		},
+		determineAlignment: function determineAlignment(size) {
+			this._model.xAlign = this._model.yAlign = "center";
+
+			if (this._model.y < size.height) {
+				this._model.yAlign = 'top';
+			} else if (this._model.y > (this._chart.height - size.height)) {
+				this._model.yAlign = 'bottom';
+			}
+
+			var lf, rf;
+			var _this = this;
+			var midX = (this._chartInstance.chartArea.left + this._chartInstance.chartArea.right) / 2;
+
+			if (this._model.yAlign === 'center') {
+				lf = function(x) { return x <= midX; };
+				rf = function(x) { return x > midX; };
+			} else {
+				lf = function(x) { return x <= (size.width / 2); };
+				rf = function(x) { return x >= (_this._chart.width - (size.width / 2)); };
+			}
+
+			if (lf(this._model.x)) {
+				this._model.xAlign = 'left';
+			} else if (rf(this._model.x)) {
+				this._model.xAlign = 'right';
+			}
+		},
+		getBackgroundPoint: function getBackgroundPoint(vm, size) {
+			// Background Position
+			var pt = {
+				x: vm.x,
+				y: vm.y
+			};
+
+			if (vm.xAlign === 'right') {
+				pt.x -= size.width;
+			} else if (vm.xAlign === 'center') {
+				pt.x -= (size.width / 2);
+			}
+
+			if (vm.yAlign === 'top') {
+				pt.y += vm.caretPadding + vm.caretSize;
+			} else if (vm.yAlign === 'bottom') {
+				pt.y -= size.height + vm.caretPadding + vm.caretSize;
+			} else {
+				pt.y -= (size.height / 2);
+			}
+
+			if (vm.yAlign == 'center') {
+				if (vm.xAlign === 'left') {
+					pt.x += vm.caretPadding + vm.caretSize;
+				} else if (vm.xAlign === 'right') {
+					pt.x -= vm.caretPadding + vm.caretSize;
+				}
+			} else {
+				if (vm.xAlign === 'left') {
+					pt.x -= vm.cornerRadius + vm.caretPadding;
+				} else if (vm.xAlign === 'right') {
+					pt.x += vm.cornerRadius + vm.caretPadding;
+				}
+			}
+
+			return pt;
+		},
+		drawCaret: function drawCaret(tooltipPoint, size, opacity, caretPadding) {
+			var vm = this._view;
+			var ctx = this._chart.ctx;
+			var x1, x2, x3;
+			var y1, y2, y3;
+
+			if (vm.yAlign === 'center') {
+				// Left or right side
+				if (vm.xAlign === 'left') {
+					x1 = tooltipPoint.x;
+					x2 = x1 - vm.caretSize;
+					x3 = x1;
+				} else {
+					x1 = tooltipPoint.x + size.width;
+					x2 = x1 + vm.caretSize;
+					x3 = x1;
+				}
+
+				y2 = tooltipPoint.y + (size.height / 2);
+				y1 = y2 - vm.caretSize;
+				y3 = y2 + vm.caretSize;
+			} else {
+				if (vm.xAlign === 'left') {
+					x1 = tooltipPoint.x + vm.cornerRadius;
+					x2 = x1 + vm.caretSize;
+					x3 = x2 + vm.caretSize;
+				} else if (vm.xAlign === 'right') {
+					x1 = tooltipPoint.x + size.width - vm.cornerRadius;
+					x2 = x1 - vm.caretSize;
+					x3 = x2 - vm.caretSize;
+				} else {
+					x2 = tooltipPoint.x + (size.width / 2);
+					x1 = x2 - vm.caretSize;
+					x3 = x2 + vm.caretSize;
+				}
+
+				if (vm.yAlign === 'top') {
+					y1 = tooltipPoint.y;
+					y2 = y1 - vm.caretSize;
+					y3 = y1;
+				} else {
+					y1 = tooltipPoint.y + size.height;
+					y2 = y1 + vm.caretSize;
+					y3 = y1;
+				}
+			}
+
+			ctx.fillStyle = helpers.color(vm.backgroundColor).alpha(opacity).rgbString();
+			ctx.beginPath();
+			ctx.moveTo(x1, y1);
+			ctx.lineTo(x2, y2);
+			ctx.lineTo(x3, y3);
+			ctx.closePath();
+			ctx.fill();
+		},
+		drawTitle: function drawTitle(pt, vm, ctx, opacity) {
+			if (vm.title.length) {
+				ctx.textAlign = vm._titleAlign;
+				ctx.textBaseline = "top";
+				ctx.fillStyle = helpers.color(vm.titleColor).alpha(opacity).rgbString();
+				ctx.font = helpers.fontString(vm.titleFontSize, vm._titleFontStyle, vm._titleFontFamily);
+
+				helpers.each(vm.title, function(title, i) {
+					ctx.fillText(title, pt.x, pt.y);
+					pt.y += vm.titleFontSize + vm.titleSpacing; // Line Height and spacing
+					
+					if (i + 1 === vm.title.length) {
+						pt.y += vm.titleMarginBottom - vm.titleSpacing; // If Last, add margin, remove spacing
+					}
+				}, this);
+			}
+		},
+		drawBody: function drawBody(pt, vm, ctx, opacity) {
+			ctx.textAlign = vm._bodyAlign;
+			ctx.textBaseline = "top";
+			ctx.fillStyle = helpers.color(vm.bodyColor).alpha(opacity).rgbString();
+			ctx.font = helpers.fontString(vm.bodyFontSize, vm._bodyFontStyle, vm._bodyFontFamily);
+
+			// Before Body
+			helpers.each(vm.beforeBody, function(beforeBody) {
+				ctx.fillText(beforeBody, pt.x, pt.y);
+				pt.y += vm.bodyFontSize + vm.bodySpacing;
+			});
+
+			helpers.each(vm.body, function(body, i) {
+				// Draw Legend-like boxes if needed
+				if (this._options.tooltips.mode !== 'single') {
+					// Fill a white rect so that colours merge nicely if the opacity is < 1
+					ctx.fillStyle = helpers.color(vm.legendColorBackground).alpha(opacity).rgbaString();
+					ctx.fillRect(pt.x, pt.y, vm.bodyFontSize, vm.bodyFontSize);
+
+					// Border
+					ctx.strokeStyle = helpers.color(vm.labelColors[i].borderColor).alpha(opacity).rgbaString();
+					ctx.strokeRect(pt.x, pt.y, vm.bodyFontSize, vm.bodyFontSize);
+
+					// Inner square
+					ctx.fillStyle = helpers.color(vm.labelColors[i].backgroundColor).alpha(opacity).rgbaString();
+					ctx.fillRect(pt.x + 1, pt.y + 1, vm.bodyFontSize - 2, vm.bodyFontSize - 2);
+
+					ctx.fillStyle = helpers.color(vm.bodyColor).alpha(opacity).rgbaString(); // Return fill style for text
+				}
+
+				// Body Line
+				ctx.fillText(body, pt.x + (this._options.tooltips.mode !== 'single' ? (vm.bodyFontSize + 2) : 0), pt.y);
+
+				pt.y += vm.bodyFontSize + vm.bodySpacing;
+			}, this);
+
+			// After Body
+			helpers.each(vm.afterBody, function(afterBody) {
+				ctx.fillText(afterBody, pt.x, pt.y);
+				pt.y += vm.bodyFontSize;
+			});
+
+			pt.y -= vm.bodySpacing; // Remove last body spacing
+		},
+		drawFooter: function drawFooter(pt, vm, ctx, opacity) {
+			if (vm.footer.length) {
+				pt.y += vm.footerMarginTop;
+
+				ctx.textAlign = vm._footerAlign;
+				ctx.textBaseline = "top";
+				ctx.fillStyle = helpers.color(vm.footerColor).alpha(opacity).rgbString();
+				ctx.font = helpers.fontString(vm.footerFontSize, vm._footerFontStyle, vm._footerFontFamily);
+
+				helpers.each(vm.footer, function(footer) {
+					ctx.fillText(footer, pt.x, pt.y);
+					pt.y += vm.footerFontSize + vm.footerSpacing;
+				}, this);
+			}
+		},
+		draw: function draw() {
+			var ctx = this._chart.ctx;
+			var vm = this._view;
+
+			if (vm.opacity === 0) {
+				return;
+			}
+
+			var caretPadding = vm.caretPadding;
+			var tooltipSize = this.getTooltipSize(vm);
+			var pt = {
+				x: vm.x,
+				y: vm.y
+			};
+
+			// IE11/Edge does not like very small opacities, so snap to 0
+			var opacity = Math.abs(vm.opacity < 1e-3) ? 0 : vm.opacity;
+
+			if (this._options.tooltips.enabled) {
+				// Draw Background
+				ctx.fillStyle = helpers.color(vm.backgroundColor).alpha(opacity).rgbString();
+				helpers.drawRoundedRectangle(ctx, pt.x, pt.y, tooltipSize.width, tooltipSize.height, vm.cornerRadius);
+				ctx.fill();
+
+				// Draw Caret
+				this.drawCaret(pt, tooltipSize, opacity, caretPadding);
+				
+				// Draw Title, Body, and Footer
+				pt.x += vm.xPadding;
+				pt.y += vm.yPadding;
+
+				// Titles
+				this.drawTitle(pt, vm, ctx, opacity);
+
+				// Body
+				this.drawBody(pt, vm, ctx, opacity);
+
+				// Footer
+				this.drawFooter(pt, vm, ctx, opacity);
+			}
+		}
+	});
+
+}).call(this);

src/elements/element.arc.js

@@ -0,0 +1,96 @@
+/*!
+ * Chart.js
+ * http://chartjs.org/
+ * Version: {{ version }}
+ *
+ * Copyright 2015 Nick Downie
+ * Released under the MIT license
+ * https://github.com/nnnick/Chart.js/blob/master/LICENSE.md
+ */
+
+
+(function() {
+
+	"use strict";
+
+	var root = this,
+		Chart = root.Chart,
+		helpers = Chart.helpers;
+
+	Chart.defaults.global.elements.arc = {
+		backgroundColor: Chart.defaults.global.defaultColor,
+		borderColor: "#fff",
+		borderWidth: 2
+	};
+
+	Chart.elements.Arc = Chart.Element.extend({
+		inLabelRange: function(mouseX) {
+			var vm = this._view;
+
+			if (vm) {
+				return (Math.pow(mouseX - vm.x, 2) < Math.pow(vm.radius + vm.hoverRadius, 2));
+			} else {
+				return false;
+			}
+		},
+		inRange: function(chartX, chartY) {
+
+			var vm = this._view;
+
+			if (vm) {
+				var pointRelativePosition = helpers.getAngleFromPoint(vm, {
+					x: chartX,
+					y: chartY
+				});
+
+				// Put into the range of (-PI/2, 3PI/2]
+				var startAngle = vm.startAngle < (-0.5 * Math.PI) ? vm.startAngle + (2.0 * Math.PI) : vm.startAngle > (1.5 * Math.PI) ? vm.startAngle - (2.0 * Math.PI) : vm.startAngle;
+				var endAngle = vm.endAngle < (-0.5 * Math.PI) ? vm.endAngle + (2.0 * Math.PI) : vm.endAngle > (1.5 * Math.PI) ? vm.endAngle - (2.0 * Math.PI) : vm.endAngle;
+
+				//Check if within the range of the open/close angle
+				var betweenAngles = (pointRelativePosition.angle >= startAngle && pointRelativePosition.angle <= endAngle),
+					withinRadius = (pointRelativePosition.distance >= vm.innerRadius && pointRelativePosition.distance <= vm.outerRadius);
+
+				return (betweenAngles && withinRadius);
+			} else {
+				return false;
+			}			
+		},
+		tooltipPosition: function() {
+			var vm = this._view;
+
+			var centreAngle = vm.startAngle + ((vm.endAngle - vm.startAngle) / 2),
+				rangeFromCentre = (vm.outerRadius - vm.innerRadius) / 2 + vm.innerRadius;
+			return {
+				x: vm.x + (Math.cos(centreAngle) * rangeFromCentre),
+				y: vm.y + (Math.sin(centreAngle) * rangeFromCentre)
+			};
+		},
+		draw: function() {
+
+			var ctx = this._chart.ctx;
+			var vm = this._view;
+
+			ctx.beginPath();
+
+			ctx.arc(vm.x, vm.y, vm.outerRadius, vm.startAngle, vm.endAngle);
+
+			ctx.arc(vm.x, vm.y, vm.innerRadius, vm.endAngle, vm.startAngle, true);
+
+			ctx.closePath();
+			ctx.strokeStyle = vm.borderColor;
+			ctx.lineWidth = vm.borderWidth;
+
+			ctx.fillStyle = vm.backgroundColor;
+
+			ctx.fill();
+			ctx.lineJoin = 'bevel';
+
+			if (vm.borderWidth) {
+				ctx.stroke();
+			}
+		}
+	});
+
+
+}).call(this);

src/elements/element.line.js

@@ -0,0 +1,175 @@
+/*!
+ * Chart.js
+ * http://chartjs.org/
+ * Version: {{ version }}
+ *
+ * Copyright 2015 Nick Downie
+ * Released under the MIT license
+ * https://github.com/nnnick/Chart.js/blob/master/LICENSE.md
+ */
+
+
+(function() {
+
+	"use strict";
+
+	var root = this,
+		Chart = root.Chart,
+		helpers = Chart.helpers;
+
+	Chart.defaults.global.elements.line = {
+		tension: 0.4,
+		backgroundColor: Chart.defaults.global.defaultColor,
+		borderWidth: 3,
+		borderColor: Chart.defaults.global.defaultColor,
+		borderCapStyle: 'butt',
+		borderDash: [],
+		borderDashOffset: 0.0,
+		borderJoinStyle: 'miter',
+		fill: true, // do we fill in the area between the line and its base axis
+	};
+
+	Chart.elements.Line = Chart.Element.extend({
+		lineToNextPoint: function(previousPoint, point, nextPoint, skipHandler, previousSkipHandler) {
+			var ctx = this._chart.ctx;
+
+			if (point._view.skip) {
+				skipHandler.call(this, previousPoint, point, nextPoint); 
+			} else if (previousPoint._view.skip) {
+				previousSkipHandler.call(this, previousPoint, point, nextPoint);
+			} else if (point._view.tension === 0) { 
+				ctx.lineTo(point._view.x, point._view.y);
+			} else {
+				// Line between points
+				ctx.bezierCurveTo(
+					previousPoint._view.controlPointNextX, 
+					previousPoint._view.controlPointNextY,
+					point._view.controlPointPreviousX,
+					point._view.controlPointPreviousY,
+					point._view.x,
+					point._view.y
+				);
+			}
+		},
+
+		draw: function() {
+			var _this = this;
+
+			var vm = this._view;
+			var ctx = this._chart.ctx;
+			var first = this._children[0];
+			var last = this._children[this._children.length - 1];
+
+			function loopBackToStart(drawLineToCenter) {
+				if (!first._view.skip && !last._view.skip) {
+					// Draw a bezier line from last to first
+					ctx.bezierCurveTo(
+						last._view.controlPointNextX,
+						last._view.controlPointNextY,
+						first._view.controlPointPreviousX,
+						first._view.controlPointPreviousY,
+						first._view.x,
+						first._view.y
+					);
+				} else if (drawLineToCenter) {
+					// Go to center
+					ctx.lineTo(_this._view.scaleZero.x, _this._view.scaleZero.y);
+				}
+			}
+
+			ctx.save();
+
+			// If we had points and want to fill this line, do so.
+			if (this._children.length > 0 && vm.fill) {
+				// Draw the background first (so the border is always on top)
+				ctx.beginPath();
+
+				helpers.each(this._children, function(point, index) {
+					var previous = helpers.previousItem(this._children, index);
+					var next = helpers.nextItem(this._children, index);
+
+					// First point moves to it's starting position no matter what
+					if (index === 0) {
+						if (this._loop) {
+							ctx.moveTo(vm.scaleZero.x, vm.scaleZero.y);
+						} else {
+							ctx.moveTo(point._view.x, vm.scaleZero);
+						}
+
+						if (point._view.skip) {
+							if (!this._loop) {
+								ctx.moveTo(next._view.x, this._view.scaleZero);
+							}
+						} else {
+							ctx.lineTo(point._view.x, point._view.y);
+						}
+					} else {
+						this.lineToNextPoint(previous, point, next, function(previousPoint, point, nextPoint) {
+							if (this._loop) {
+								// Go to center
+								ctx.lineTo(this._view.scaleZero.x, this._view.scaleZero.y);
+							} else {
+								ctx.lineTo(previousPoint._view.x, this._view.scaleZero);
+								ctx.moveTo(nextPoint._view.x, this._view.scaleZero);
+							}
+						}, function(previousPoint, point) {
+							// If we skipped the last point, draw a line to ourselves so that the fill is nice
+							ctx.lineTo(point._view.x, point._view.y);
+						});
+					}
+				}, this);
+
+				// For radial scales, loop back around to the first point
+				if (this._loop) {
+					loopBackToStart(true);
+				} else {
+					//Round off the line by going to the base of the chart, back to the start, then fill.
+					ctx.lineTo(this._children[this._children.length - 1]._view.x, vm.scaleZero);
+					ctx.lineTo(this._children[0]._view.x, vm.scaleZero);
+				}
+
+				ctx.fillStyle = vm.backgroundColor || Chart.defaults.global.defaultColor;
+				ctx.closePath();
+				ctx.fill();
+			}
+
+			// Now draw the line between all the points with any borders
+			ctx.lineCap = vm.borderCapStyle || Chart.defaults.global.elements.line.borderCapStyle;
+
+			// IE 9 and 10 do not support line dash
+			if (ctx.setLineDash) {
+				ctx.setLineDash(vm.borderDash || Chart.defaults.global.elements.line.borderDash);
+			}
+
+			ctx.lineDashOffset = vm.borderDashOffset || Chart.defaults.global.elements.line.borderDashOffset;
+			ctx.lineJoin = vm.borderJoinStyle || Chart.defaults.global.elements.line.borderJoinStyle;
+			ctx.lineWidth = vm.borderWidth || Chart.defaults.global.elements.line.borderWidth;
+			ctx.strokeStyle = vm.borderColor || Chart.defaults.global.defaultColor;
+			ctx.beginPath();
+
+			helpers.each(this._children, function(point, index) {
+				var previous = helpers.previousItem(this._children, index);
+				var next = helpers.nextItem(this._children, index);
+
+				if (index === 0) {
+					ctx.moveTo(point._view.x, point._view.y);
+				} else {
+					this.lineToNextPoint(previous, point, next, function(previousPoint, point, nextPoint) {
+						ctx.moveTo(nextPoint._view.x, nextPoint._view.y);
+					}, function(previousPoint, point) {
+						// If we skipped the last point, move up to our point preventing a line from being drawn
+						ctx.moveTo(point._view.x, point._view.y);
+					});
+				}
+			}, this);
+
+			if (this._loop && this._children.length > 0) {
+				loopBackToStart();
+			}
+
+			ctx.stroke();
+			ctx.restore();
+		},
+	});
+
+}).call(this);

src/elements/element.point.js

@@ -0,0 +1,89 @@
+/*!
+ * Chart.js
+ * http://chartjs.org/
+ * Version: {{ version }}
+ *
+ * Copyright 2015 Nick Downie
+ * Released under the MIT license
+ * https://github.com/nnnick/Chart.js/blob/master/LICENSE.md
+ */
+
+
+(function() {
+
+	"use strict";
+
+	var root = this,
+		Chart = root.Chart,
+		helpers = Chart.helpers;
+
+	Chart.defaults.global.elements.point = {
+		radius: 3,
+		backgroundColor: Chart.defaults.global.defaultColor,
+		borderWidth: 1,
+		borderColor: Chart.defaults.global.defaultColor,
+		// Hover
+		hitRadius: 1,
+		hoverRadius: 4,
+		hoverBorderWidth: 1,
+	};
+
+
+	Chart.elements.Point = Chart.Element.extend({
+		inRange: function(mouseX, mouseY) {
+			var vm = this._view;
+
+			if (vm) {
+				var hoverRange = vm.hitRadius + vm.radius;
+				return ((Math.pow(mouseX - vm.x, 2) + Math.pow(mouseY - vm.y, 2)) < Math.pow(hoverRange, 2));
+			} else {
+				return false;
+			}
+		},
+		inLabelRange: function(mouseX) {
+			var vm = this._view;
+
+			if (vm) {
+				return (Math.pow(mouseX - vm.x, 2) < Math.pow(vm.radius + vm.hitRadius, 2));
+			} else {
+				return false;
+			}
+		},
+		tooltipPosition: function() {
+			var vm = this._view;
+			return {
+				x: vm.x,
+				y: vm.y,
+				padding: vm.radius + vm.borderWidth
+			};
+		},
+		draw: function() {
+
+			var vm = this._view;
+			var ctx = this._chart.ctx;
+
+
+			if (vm.skip) {
+				return;
+			}
+
+			if (vm.radius > 0 || vm.borderWidth > 0) {
+
+				ctx.beginPath();
+
+				ctx.arc(vm.x, vm.y, vm.radius || Chart.defaults.global.elements.point.radius, 0, Math.PI * 2);
+				ctx.closePath();
+
+				ctx.strokeStyle = vm.borderColor || Chart.defaults.global.defaultColor;
+				ctx.lineWidth = vm.borderWidth || Chart.defaults.global.elements.point.borderWidth;
+
+				ctx.fillStyle = vm.backgroundColor || Chart.defaults.global.defaultColor;
+
+				ctx.fill();
+				ctx.stroke();
+			}
+		}
+	});
+
+
+}).call(this);

src/elements/element.rectangle.js

@@ -0,0 +1,90 @@
+(function() {
+
+	"use strict";
+
+	var root = this,
+		Chart = root.Chart,
+		helpers = Chart.helpers;
+
+	Chart.defaults.global.elements.rectangle = {
+		backgroundColor: Chart.defaults.global.defaultColor,
+		borderWidth: 0,
+		borderColor: Chart.defaults.global.defaultColor,
+	};
+
+	Chart.elements.Rectangle = Chart.Element.extend({
+		draw: function() {
+
+			var ctx = this._chart.ctx;
+			var vm = this._view;
+
+			var halfWidth = vm.width / 2,
+				leftX = vm.x - halfWidth,
+				rightX = vm.x + halfWidth,
+				top = vm.base - (vm.base - vm.y),
+				halfStroke = vm.borderWidth / 2;
+
+			// Canvas doesn't allow us to stroke inside the width so we can
+			// adjust the sizes to fit if we're setting a stroke on the line
+			if (vm.borderWidth) {
+				leftX += halfStroke;
+				rightX -= halfStroke;
+				top += halfStroke;
+			}
+
+			ctx.beginPath();
+
+			ctx.fillStyle = vm.backgroundColor;
+			ctx.strokeStyle = vm.borderColor;
+			ctx.lineWidth = vm.borderWidth;
+
+			// It'd be nice to keep this class totally generic to any rectangle
+			// and simply specify which border to miss out.
+			ctx.moveTo(leftX, vm.base);
+			ctx.lineTo(leftX, top);
+			ctx.lineTo(rightX, top);
+			ctx.lineTo(rightX, vm.base);
+			ctx.fill();
+			if (vm.borderWidth) {
+				ctx.stroke();
+			}
+		},
+		height: function() {
+			var vm = this._view;
+			return vm.base - vm.y;
+		},
+		inRange: function(mouseX, mouseY) {
+			var vm = this._view;
+			var inRange = false;
+
+			if (vm) {
+				if (vm.y < vm.base) {
+					inRange = (mouseX >= vm.x - vm.width / 2 && mouseX <= vm.x + vm.width / 2) && (mouseY >= vm.y && mouseY <= vm.base);
+				} else {
+					inRange = (mouseX >= vm.x - vm.width / 2 && mouseX <= vm.x + vm.width / 2) && (mouseY >= vm.base && mouseY <= vm.y);
+				}
+			}
+
+			return inRange;
+		},
+		inLabelRange: function(mouseX) {
+			var vm = this._view;
+
+			if (vm) {
+				return (mouseX >= vm.x - vm.width / 2 && mouseX <= vm.x + vm.width / 2);
+			} else {
+				return false;
+			}
+		},
+		tooltipPosition: function() {
+			var vm = this._view;
+			return {
+				x: vm.x,
+				y: vm.y
+			};
+		},
+	});
+
+
+
+}).call(this);

src/scales/scale.category.js

@@ -0,0 +1,50 @@
+(function() {
+    "use strict";
+
+    var root = this,
+        Chart = root.Chart,
+        helpers = Chart.helpers;
+
+    // Default config for a category scale
+    var defaultConfig = {
+        position: "bottom",
+    };
+
+    var DatasetScale = Chart.Scale.extend({
+        buildTicks: function(index) {
+            this.ticks = this.chart.data.labels;
+        },
+
+        getLabelForIndex: function(index, datasetIndex) {
+            return this.ticks[index];
+        },
+
+        // Used to get data value locations.  Value can either be an index or a numerical value
+        getPixelForValue: function(value, index, datasetIndex, includeOffset) {
+            if (this.isHorizontal()) {
+                var innerWidth = this.width - (this.paddingLeft + this.paddingRight);
+                var valueWidth = innerWidth / Math.max((this.chart.data.labels.length - ((this.options.gridLines.offsetGridLines) ? 0 : 1)), 1);
+                var widthOffset = (valueWidth * index) + this.paddingLeft;
+
+                if (this.options.gridLines.offsetGridLines && includeOffset) {
+                    widthOffset += (valueWidth / 2);
+                }
+
+                return this.left + Math.round(widthOffset);
+            } else {
+                var innerHeight = this.height - (this.paddingTop + this.paddingBottom);
+                var valueHeight = innerHeight / Math.max((this.chart.data.labels.length - ((this.options.gridLines.offsetGridLines) ? 0 : 1)), 1);
+                var heightOffset = (valueHeight * index) + this.paddingTop;
+
+                if (this.options.gridLines.offsetGridLines && includeOffset) {
+                    heightOffset += (valueHeight / 2);
+                }
+
+                return this.top + Math.round(heightOffset);
+            }
+        },
+    });
+
+    Chart.scaleService.registerScaleType("category", DatasetScale, defaultConfig);
+
+}).call(this);

src/scales/scale.linear.js

@@ -0,0 +1,243 @@
+(function() {
+	"use strict";
+
+	var root = this,
+		Chart = root.Chart,
+		helpers = Chart.helpers;
+
+	var defaultConfig = {
+		position: "left",
+		ticks: {
+			callback: function(tickValue, index, ticks) {
+				var delta = ticks[1] - ticks[0];
+
+				// If we have a number like 2.5 as the delta, figure out how many decimal places we need
+				if (Math.abs(delta) > 1) {
+					if (tickValue !== Math.floor(tickValue)) {
+						// not an integer
+						delta = tickValue - Math.floor(tickValue);
+					}
+				}
+
+				var logDelta = helpers.log10(Math.abs(delta));
+				var tickString = '';
+
+				if (tickValue !== 0) {
+					var numDecimal = -1 * Math.floor(logDelta);
+					numDecimal = Math.max(Math.min(numDecimal, 20), 0); // toFixed has a max of 20 decimal places
+					tickString = tickValue.toFixed(numDecimal);
+				} else {
+					tickString = '0'; // never show decimal places for 0
+				}
+
+				return tickString;
+			}
+		}
+	};
+
+	var LinearScale = Chart.Scale.extend({
+		determineDataLimits: function() {
+			// First Calculate the range
+			this.min = null;
+			this.max = null;
+
+			if (this.options.stacked) {
+				var valuesPerType = {};
+
+				helpers.each(this.chart.data.datasets, function(dataset) {
+					if (valuesPerType[dataset.type] === undefined) {
+						valuesPerType[dataset.type] = {
+							positiveValues: [],
+							negativeValues: [],
+						};
+					}
+
+					// Store these per type
+					var positiveValues = valuesPerType[dataset.type].positiveValues;
+					var negativeValues = valuesPerType[dataset.type].negativeValues;
+
+					if (helpers.isDatasetVisible(dataset) && (this.isHorizontal() ? dataset.xAxisID === this.id : dataset.yAxisID === this.id)) {
+						helpers.each(dataset.data, function(rawValue, index) {
+
+							var value = +this.getRightValue(rawValue);
+							if (isNaN(value)) {
+								return;
+							}
+
+							positiveValues[index] = positiveValues[index] || 0;
+							negativeValues[index] = negativeValues[index] || 0;
+
+							if (this.options.relativePoints) {
+								positiveValues[index] = 100;
+							} else {
+								if (value < 0) {
+									negativeValues[index] += value;
+								} else {
+									positiveValues[index] += value;
+								}
+							}
+						}, this);
+					}
+				}, this);
+
+				helpers.each(valuesPerType, function(valuesForType) {
+					var values = valuesForType.positiveValues.concat(valuesForType.negativeValues);
+					var minVal = helpers.min(values);
+					var maxVal = helpers.max(values);
+					this.min = this.min === null ? minVal : Math.min(this.min, minVal);
+					this.max = this.max === null ? maxVal : Math.max(this.max, maxVal);
+				}, this);
+
+			} else {
+				helpers.each(this.chart.data.datasets, function(dataset) {
+					if (helpers.isDatasetVisible(dataset) && (this.isHorizontal() ? dataset.xAxisID === this.id : dataset.yAxisID === this.id)) {
+						helpers.each(dataset.data, function(rawValue, index) {
+							var value = +this.getRightValue(rawValue);
+							if (isNaN(value)) {
+								return;
+							}
+
+							if (this.min === null) {
+								this.min = value;
+							} else if (value < this.min) {
+								this.min = value;
+							}
+
+							if (this.max === null) {
+								this.max = value;
+							} else if (value > this.max) {
+								this.max = value;
+							}
+						}, this);
+					}
+				}, this);
+			}
+
+			// If we are forcing it to begin at 0, but 0 will already be rendered on the chart,
+			// do nothing since that would make the chart weird. If the user really wants a weird chart
+			// axis, they can manually override it
+			if (this.options.ticks.beginAtZero) {
+				var minSign = helpers.sign(this.min);
+				var maxSign = helpers.sign(this.max);
+
+				if (minSign < 0 && maxSign < 0) {
+					// move the top up to 0
+					this.max = 0;
+				} else if (minSign > 0 && maxSign > 0) {
+					// move the botttom down to 0
+					this.min = 0;
+				}
+			}
+
+			if (this.options.ticks.min !== undefined) {
+				this.min = this.options.ticks.min;
+			} else if (this.options.ticks.suggestedMin !== undefined) {
+				this.min = Math.min(this.min, this.options.ticks.suggestedMin);
+			}
+
+			if (this.options.ticks.max !== undefined) {
+				this.max = this.options.ticks.max;
+			} else if (this.options.ticks.suggestedMax !== undefined) {
+				this.max = Math.max(this.max, this.options.ticks.suggestedMax);
+			}
+
+			if (this.min === this.max) {
+				this.min--;
+				this.max++;
+			}
+		},
+		buildTicks: function() {
+
+			// Then calulate the ticks
+			this.ticks = [];
+
+			// Figure out what the max number of ticks we can support it is based on the size of
+			// the axis area. For now, we say that the minimum tick spacing in pixels must be 50
+			// We also limit the maximum number of ticks to 11 which gives a nice 10 squares on 
+			// the graph
+
+			var maxTicks;
+
+			if (this.isHorizontal()) {
+				maxTicks = Math.min(this.options.ticks.maxTicksLimit ? this.options.ticks.maxTicksLimit : 11,
+				                    Math.ceil(this.width / 50));
+			} else {
+				// The factor of 2 used to scale the font size has been experimentally determined.
+				maxTicks = Math.min(this.options.ticks.maxTicksLimit ? this.options.ticks.maxTicksLimit : 11,
+				                    Math.ceil(this.height / (2 * this.options.ticks.fontSize)));
+			}
+
+			// Make sure we always have at least 2 ticks 
+			maxTicks = Math.max(2, maxTicks);
+
+			// To get a "nice" value for the tick spacing, we will use the appropriately named 
+			// "nice number" algorithm. See http://stackoverflow.com/questions/8506881/nice-label-algorithm-for-charts-with-minimum-ticks
+			// for details.
+
+			var niceRange = helpers.niceNum(this.max - this.min, false);
+			var spacing = helpers.niceNum(niceRange / (maxTicks - 1), true);
+			var niceMin = Math.floor(this.min / spacing) * spacing;
+			var niceMax = Math.ceil(this.max / spacing) * spacing;
+
+			var numSpaces = Math.ceil((niceMax - niceMin) / spacing);
+
+			// Put the values into the ticks array
+			this.ticks.push(this.options.ticks.min !== undefined ? this.options.ticks.min : niceMin);
+			for (var j = 1; j < numSpaces; ++j) {
+				this.ticks.push(niceMin + (j * spacing));
+			}
+			this.ticks.push(this.options.ticks.max !== undefined ? this.options.ticks.max : niceMax);
+
+			if (this.options.position == "left" || this.options.position == "right") {
+				// We are in a vertical orientation. The top value is the highest. So reverse the array
+				this.ticks.reverse();
+			}
+
+			// At this point, we need to update our max and min given the tick values since we have expanded the
+			// range of the scale
+			this.max = helpers.max(this.ticks);
+			this.min = helpers.min(this.ticks);
+			this.ticksAsNumbers = this.ticks.slice();
+
+			if (this.options.ticks.reverse) {
+				this.ticks.reverse();
+
+				this.start = this.max;
+				this.end = this.min;
+			} else {
+				this.start = this.min;
+				this.end = this.max;
+			}
+
+			this.zeroLineIndex = this.ticks.indexOf(0);
+		},
+
+		getLabelForIndex: function(index, datasetIndex) {
+			return +this.getRightValue(this.chart.data.datasets[datasetIndex].data[index]);
+		},
+
+		// Utils
+		getPixelForValue: function(value, index, datasetIndex, includeOffset) {
+			// This must be called after fit has been run so that 
+			//      this.left, this.top, this.right, and this.bottom have been defined
+			var rightValue = +this.getRightValue(value);
+			var pixel;
+			var range = this.end - this.start;
+
+			if (this.isHorizontal()) {
+				var innerWidth = this.width - (this.paddingLeft + this.paddingRight);
+				pixel = this.left + (innerWidth / range * (rightValue - this.start));
+				return Math.round(pixel + this.paddingLeft);
+			} else {
+				var innerHeight = this.height - (this.paddingTop + this.paddingBottom);
+				pixel = (this.bottom - this.paddingBottom) - (innerHeight / range * (rightValue - this.start));
+				return Math.round(pixel);
+			}
+		},
+		getPixelForTick: function(index, includeOffset) {
+			return this.getPixelForValue(this.ticksAsNumbers[index], null, null, includeOffset);
+		},
+	});
+	Chart.scaleService.registerScaleType("linear", LinearScale, defaultConfig);
+
+}).call(this);

src/scales/scale.logarithmic.js

@@ -0,0 +1,192 @@
+(function() {
+	"use strict";
+
+	var root = this,
+		Chart = root.Chart,
+		helpers = Chart.helpers;
+
+	var defaultConfig = {
+		position: "left",
+
+		// label settings
+		ticks: {
+			callback: function(value, index, arr) {
+				var remain = value / (Math.pow(10, Math.floor(Chart.helpers.log10(value))));
+
+				if (remain === 1 || remain === 2 || remain === 5 || index === 0 || index === arr.length - 1) {
+					return value.toExponential();
+				} else {
+					return '';
+				}
+			}
+		}
+	};
+
+	var LogarithmicScale = Chart.Scale.extend({
+		determineDataLimits: function() {
+			// Calculate Range
+			this.min = null;
+			this.max = null;
+
+			if (this.options.stacked) {
+				var valuesPerType = {};
+
+				helpers.each(this.chart.data.datasets, function(dataset) {
+					if (helpers.isDatasetVisible(dataset) && (this.isHorizontal() ? dataset.xAxisID === this.id : dataset.yAxisID === this.id)) {
+						if (valuesPerType[dataset.type] === undefined) {
+							valuesPerType[dataset.type] = [];
+						}
+
+						helpers.each(dataset.data, function(rawValue, index) {
+							var values = valuesPerType[dataset.type];
+							var value = +this.getRightValue(rawValue);
+							if (isNaN(value)) {
+								return;
+							}
+
+							values[index] = values[index] || 0;
+
+							if (this.options.relativePoints) {
+								values[index] = 100;
+							} else {
+								// Don't need to split positive and negative since the log scale can't handle a 0 crossing
+								values[index] += value;
+							}
+						}, this);
+					}
+				}, this);
+
+				helpers.each(valuesPerType, function(valuesForType) {
+					var minVal = helpers.min(valuesForType);
+					var maxVal = helpers.max(valuesForType);
+					this.min = this.min === null ? minVal : Math.min(this.min, minVal);
+					this.max = this.max === null ? maxVal : Math.max(this.max, maxVal);
+				}, this);
+
+			} else {
+				helpers.each(this.chart.data.datasets, function(dataset) {
+					if (helpers.isDatasetVisible(dataset) && (this.isHorizontal() ? dataset.xAxisID === this.id : dataset.yAxisID === this.id)) {
+						helpers.each(dataset.data, function(rawValue, index) {
+							var value = +this.getRightValue(rawValue);
+							if (isNaN(value)) {
+								return;
+							}
+
+							if (this.min === null) {
+								this.min = value;
+							} else if (value < this.min) {
+								this.min = value;
+							}
+
+							if (this.max === null) {
+								this.max = value;
+							} else if (value > this.max) {
+								this.max = value;
+							}
+						}, this);
+					}
+				}, this);
+			}
+
+			this.min = this.options.ticks.min !== undefined ? this.options.ticks.min : this.min;
+			this.max = this.options.ticks.max !== undefined ? this.options.ticks.max : this.max;
+
+			if (this.min === this.max) {
+				if (this.min !== 0 && this.min !== null) {
+					this.min = Math.pow(10, Math.floor(helpers.log10(this.min)) - 1);
+					this.max = Math.pow(10, Math.floor(helpers.log10(this.max)) + 1);
+				} else {
+					this.min = 1;
+					this.max = 10;
+				}
+			}
+		},
+		buildTicks: function() {
+			// Reset the ticks array. Later on, we will draw a grid line at these positions
+			// The array simply contains the numerical value of the spots where ticks will be
+			this.tickValues = [];
+
+			// Figure out what the max number of ticks we can support it is based on the size of
+			// the axis area. For now, we say that the minimum tick spacing in pixels must be 50
+			// We also limit the maximum number of ticks to 11 which gives a nice 10 squares on 
+			// the graph
+
+			var tickVal = this.options.ticks.min !== undefined ? this.options.ticks.min : Math.pow(10, Math.floor(helpers.log10(this.min)));
+
+			while (tickVal < this.max) {
+				this.tickValues.push(tickVal);
+
+				var exp = Math.floor(helpers.log10(tickVal));
+				var significand = Math.floor(tickVal / Math.pow(10, exp)) + 1;
+
+				if (significand === 10) {
+					significand = 1;
+					++exp;
+				}
+
+				tickVal = significand * Math.pow(10, exp);
+			}
+
+			var lastTick = this.options.ticks.max !== undefined ? this.options.ticks.max : tickVal;
+			this.tickValues.push(lastTick);
+
+			if (this.options.position == "left" || this.options.position == "right") {
+				// We are in a vertical orientation. The top value is the highest. So reverse the array
+				this.tickValues.reverse();
+			}
+
+			// At this point, we need to update our max and min given the tick values since we have expanded the
+			// range of the scale
+			this.max = helpers.max(this.tickValues);
+			this.min = helpers.min(this.tickValues);
+
+			if (this.options.ticks.reverse) {
+				this.tickValues.reverse();
+
+				this.start = this.max;
+				this.end = this.min;
+			} else {
+				this.start = this.min;
+				this.end = this.max;
+			}
+
+			this.ticks = this.tickValues.slice();
+		},
+		// Get the correct tooltip label
+		getLabelForIndex: function(index, datasetIndex) {
+			return +this.getRightValue(this.chart.data.datasets[datasetIndex].data[index]);
+		},
+		getPixelForTick: function(index, includeOffset) {
+			return this.getPixelForValue(this.tickValues[index], null, null, includeOffset);
+		},
+		getPixelForValue: function(value, index, datasetIndex, includeOffset) {
+			var pixel;
+
+			var newVal = +this.getRightValue(value);
+			var range = helpers.log10(this.end) - helpers.log10(this.start);
+
+			if (this.isHorizontal()) {
+
+				if (newVal === 0) {
+					pixel = this.left + this.paddingLeft;
+				} else {
+					var innerWidth = this.width - (this.paddingLeft + this.paddingRight);
+					pixel = this.left + (innerWidth / range * (helpers.log10(newVal) - helpers.log10(this.start)));
+					return pixel + this.paddingLeft;
+				}
+			} else {
+				// Bottom - top since pixels increase downard on a screen
+				if (newVal === 0) {
+					pixel = this.top + this.paddingTop;
+				} else {
+					var innerHeight = this.height - (this.paddingTop + this.paddingBottom);
+					return (this.bottom - this.paddingBottom) - (innerHeight / range * (helpers.log10(newVal) - helpers.log10(this.start)));
+				}
+			}
+
+		},
+
+	});
+	Chart.scaleService.registerScaleType("logarithmic", LogarithmicScale, defaultConfig);
+
+}).call(this);

src/scales/scale.radialLinear.js

@@ -0,0 +1,409 @@
+(function() {
+	"use strict";
+
+	var root = this,
+		Chart = root.Chart,
+		helpers = Chart.helpers;
+
+	var defaultConfig = {
+		display: true,
+
+		//Boolean - Whether to animate scaling the chart from the centre
+		animate: true,
+		lineArc: false,
+		position: "chartArea",
+
+		angleLines: {
+			display: true,
+			color: "rgba(0, 0, 0, 0.1)",
+			lineWidth: 1
+		},
+
+		// label settings
+		ticks: {
+			//Boolean - Show a backdrop to the scale label
+			showLabelBackdrop: true,
+
+			//String - The colour of the label backdrop
+			backdropColor: "rgba(255,255,255,0.75)",
+
+			//Number - The backdrop padding above & below the label in pixels
+			backdropPaddingY: 2,
+
+			//Number - The backdrop padding to the side of the label in pixels
+			backdropPaddingX: 2,
+		},
+
+		pointLabels: {
+			//String - Point label font declaration
+			fontFamily: "'Arial'",
+
+			//String - Point label font weight
+			fontStyle: "normal",
+
+			//Number - Point label font size in pixels
+			fontSize: 10,
+
+			//String - Point label font colour
+			fontColor: "#666",
+		},
+	};
+
+	var LinearRadialScale = Chart.Scale.extend({
+		getValueCount: function() {
+			return this.chart.data.labels.length;
+		},
+		setDimensions: function() {
+			// Set the unconstrained dimension before label rotation
+			this.width = this.maxWidth;
+			this.height = this.maxHeight;
+			this.xCenter = Math.round(this.width / 2);
+			this.yCenter = Math.round(this.height / 2);
+
+			var minSize = helpers.min([this.height, this.width]);
+			this.drawingArea = (this.options.display) ? (minSize / 2) - (this.options.ticks.fontSize / 2 + this.options.ticks.backdropPaddingY) : (minSize / 2);
+		},
+		determineDataLimits: function() {
+			this.min = null;
+			this.max = null;
+
+			helpers.each(this.chart.data.datasets, function(dataset) {
+				if (helpers.isDatasetVisible(dataset)) {
+					helpers.each(dataset.data, function(rawValue, index) {
+						var value = +this.getRightValue(rawValue);
+						if (isNaN(value)) {
+							return;
+						}
+
+						if (this.min === null) {
+							this.min = value;
+						} else if (value < this.min) {
+							this.min = value;
+						}
+
+						if (this.max === null) {
+							this.max = value;
+						} else if (value > this.max) {
+							this.max = value;
+						}
+					}, this);
+				}
+			}, this);
+
+			if (this.min === this.max) {
+				this.min--;
+				this.max++;
+			}
+
+			// If we are forcing it to begin at 0, but 0 will already be rendered on the chart,
+			// do nothing since that would make the chart weird. If the user really wants a weird chart
+			// axis, they can manually override it
+			if (this.options.ticks.beginAtZero) {
+				var minSign = helpers.sign(this.min);
+				var maxSign = helpers.sign(this.max);
+
+				if (minSign < 0 && maxSign < 0) {
+					// move the top up to 0
+					this.max = 0;
+				} else if (minSign > 0 && maxSign > 0) {
+					// move the botttom down to 0
+					this.min = 0;
+				}
+			}
+		},
+		buildTicks: function() {
+			
+
+			this.ticks = [];
+
+			// Figure out what the max number of ticks we can support it is based on the size of
+			// the axis area. For now, we say that the minimum tick spacing in pixels must be 50
+			// We also limit the maximum number of ticks to 11 which gives a nice 10 squares on 
+			// the graph
+			var maxTicks = Math.min(this.options.ticks.maxTicksLimit ? this.options.ticks.maxTicksLimit : 11,
+			                        Math.ceil(this.drawingArea / (1.5 * this.options.ticks.fontSize)));
+			maxTicks = Math.max(2, maxTicks); // Make sure we always have at least 2 ticks 
+
+			// To get a "nice" value for the tick spacing, we will use the appropriately named 
+			// "nice number" algorithm. See http://stackoverflow.com/questions/8506881/nice-label-algorithm-for-charts-with-minimum-ticks
+			// for details.
+
+			var niceRange = helpers.niceNum(this.max - this.min, false);
+			var spacing = helpers.niceNum(niceRange / (maxTicks - 1), true);
+			var niceMin = Math.floor(this.min / spacing) * spacing;
+			var niceMax = Math.ceil(this.max / spacing) * spacing;
+
+			// Put the values into the ticks array
+			for (var j = niceMin; j <= niceMax; j += spacing) {
+				this.ticks.push(j);
+			}
+
+			// At this point, we need to update our max and min given the tick values since we have expanded the
+			// range of the scale
+			this.max = helpers.max(this.ticks);
+			this.min = helpers.min(this.ticks);
+
+			if (this.options.ticks.reverse) {
+				this.ticks.reverse();
+
+				this.start = this.max;
+				this.end = this.min;
+			} else {
+				this.start = this.min;
+				this.end = this.max;
+			}
+
+			this.zeroLineIndex = this.ticks.indexOf(0);
+		},
+		getLabelForIndex: function(index, datasetIndex) {
+			return +this.getRightValue(this.chart.data.datasets[datasetIndex].data[index]);
+		},
+		getCircumference: function() {
+			return ((Math.PI * 2) / this.getValueCount());
+		},
+		fit: function() {
+			/*
+			 * Right, this is really confusing and there is a lot of maths going on here
+			 * The gist of the problem is here: https://gist.github.com/nnnick/696cc9c55f4b0beb8fe9
+			 *
+			 * Reaction: https://dl.dropboxusercontent.com/u/34601363/toomuchscience.gif
+			 *
+			 * Solution:
+			 *
+			 * We assume the radius of the polygon is half the size of the canvas at first
+			 * at each index we check if the text overlaps.
+			 *
+			 * Where it does, we store that angle and that index.
+			 *
+			 * After finding the largest index and angle we calculate how much we need to remove
+			 * from the shape radius to move the point inwards by that x.
+			 *
+			 * We average the left and right distances to get the maximum shape radius that can fit in the box
+			 * along with labels.
+			 *
+			 * Once we have that, we can find the centre point for the chart, by taking the x text protrusion
+			 * on each side, removing that from the size, halving it and adding the left x protrusion width.
+			 *
+			 * This will mean we have a shape fitted to the canvas, as large as it can be with the labels
+			 * and position it in the most space efficient manner
+			 *
+			 * https://dl.dropboxusercontent.com/u/34601363/yeahscience.gif
+			 */
+
+
+			// Get maximum radius of the polygon. Either half the height (minus the text width) or half the width.
+			// Use this to calculate the offset + change. - Make sure L/R protrusion is at least 0 to stop issues with centre points
+			var largestPossibleRadius = helpers.min([(this.height / 2 - this.options.pointLabels.fontSize - 5), this.width / 2]),
+				pointPosition,
+				i,
+				textWidth,
+				halfTextWidth,
+				furthestRight = this.width,
+				furthestRightIndex,
+				furthestRightAngle,
+				furthestLeft = 0,
+				furthestLeftIndex,
+				furthestLeftAngle,
+				xProtrusionLeft,
+				xProtrusionRight,
+				radiusReductionRight,
+				radiusReductionLeft,
+				maxWidthRadius;
+			this.ctx.font = helpers.fontString(this.options.pointLabels.fontSize, this.options.pointLabels.fontStyle, this.options.pointLabels.fontFamily);
+			for (i = 0; i < this.getValueCount(); i++) {
+				// 5px to space the text slightly out - similar to what we do in the draw function.
+				pointPosition = this.getPointPosition(i, largestPossibleRadius);
+				textWidth = this.ctx.measureText(this.options.ticks.callback(this.chart.data.labels[i])).width + 5;
+				if (i === 0 || i === this.getValueCount() / 2) {
+					// If we're at index zero, or exactly the middle, we're at exactly the top/bottom
+					// of the radar chart, so text will be aligned centrally, so we'll half it and compare
+					// w/left and right text sizes
+					halfTextWidth = textWidth / 2;
+					if (pointPosition.x + halfTextWidth > furthestRight) {
+						furthestRight = pointPosition.x + halfTextWidth;
+						furthestRightIndex = i;
+					}
+					if (pointPosition.x - halfTextWidth < furthestLeft) {
+						furthestLeft = pointPosition.x - halfTextWidth;
+						furthestLeftIndex = i;
+					}
+				} else if (i < this.getValueCount() / 2) {
+					// Less than half the values means we'll left align the text
+					if (pointPosition.x + textWidth > furthestRight) {
+						furthestRight = pointPosition.x + textWidth;
+						furthestRightIndex = i;
+					}
+				} else if (i > this.getValueCount() / 2) {
+					// More than half the values means we'll right align the text
+					if (pointPosition.x - textWidth < furthestLeft) {
+						furthestLeft = pointPosition.x - textWidth;
+						furthestLeftIndex = i;
+					}
+				}
+			}
+
+			xProtrusionLeft = furthestLeft;
+			xProtrusionRight = Math.ceil(furthestRight - this.width);
+
+			furthestRightAngle = this.getIndexAngle(furthestRightIndex);
+			furthestLeftAngle = this.getIndexAngle(furthestLeftIndex);
+
+			radiusReductionRight = xProtrusionRight / Math.sin(furthestRightAngle + Math.PI / 2);
+			radiusReductionLeft = xProtrusionLeft / Math.sin(furthestLeftAngle + Math.PI / 2);
+
+			// Ensure we actually need to reduce the size of the chart
+			radiusReductionRight = (helpers.isNumber(radiusReductionRight)) ? radiusReductionRight : 0;
+			radiusReductionLeft = (helpers.isNumber(radiusReductionLeft)) ? radiusReductionLeft : 0;
+
+			this.drawingArea = Math.round(largestPossibleRadius - (radiusReductionLeft + radiusReductionRight) / 2);
+			this.setCenterPoint(radiusReductionLeft, radiusReductionRight);
+		},
+		setCenterPoint: function(leftMovement, rightMovement) {
+
+			var maxRight = this.width - rightMovement - this.drawingArea,
+				maxLeft = leftMovement + this.drawingArea;
+
+			this.xCenter = Math.round(((maxLeft + maxRight) / 2) + this.left);
+			// Always vertically in the centre as the text height doesn't change
+			this.yCenter = Math.round((this.height / 2) + this.top);
+		},
+
+		getIndexAngle: function(index) {
+			var angleMultiplier = (Math.PI * 2) / this.getValueCount();
+			// Start from the top instead of right, so remove a quarter of the circle
+
+			return index * angleMultiplier - (Math.PI / 2);
+		},
+		getDistanceFromCenterForValue: function(value) {
+			if (value === null) {
+				return 0; // null always in center	
+			} 
+			
+			// Take into account half font size + the yPadding of the top value
+			var scalingFactor = this.drawingArea / (this.max - this.min);
+			if (this.options.reverse) {
+				return (this.max - value) * scalingFactor;
+			} else {
+				return (value - this.min) * scalingFactor;
+			}
+		},
+		getPointPosition: function(index, distanceFromCenter) {
+			var thisAngle = this.getIndexAngle(index);
+			return {
+				x: Math.round(Math.cos(thisAngle) * distanceFromCenter) + this.xCenter,
+				y: Math.round(Math.sin(thisAngle) * distanceFromCenter) + this.yCenter
+			};
+		},
+		getPointPositionForValue: function(index, value) {
+			return this.getPointPosition(index, this.getDistanceFromCenterForValue(value));
+		},
+		draw: function() {
+			if (this.options.display) {
+				var ctx = this.ctx;
+				helpers.each(this.ticks, function(label, index) {
+					// Don't draw a centre value (if it is minimum)
+					if (index > 0 || this.options.reverse) {
+						var yCenterOffset = this.getDistanceFromCenterForValue(this.ticks[index]);
+						var yHeight = this.yCenter - yCenterOffset;
+
+						// Draw circular lines around the scale
+						if (this.options.gridLines.display) {
+							ctx.strokeStyle = this.options.gridLines.color;
+							ctx.lineWidth = this.options.gridLines.lineWidth;
+
+							if (this.options.lineArc) {
+								// Draw circular arcs between the points
+								ctx.beginPath();
+								ctx.arc(this.xCenter, this.yCenter, yCenterOffset, 0, Math.PI * 2);
+								ctx.closePath();
+								ctx.stroke();
+							} else {
+								// Draw straight lines connecting each index
+								ctx.beginPath();
+								for (var i = 0; i < this.getValueCount(); i++) {
+									var pointPosition = this.getPointPosition(i, this.getDistanceFromCenterForValue(this.ticks[index]));
+									if (i === 0) {
+										ctx.moveTo(pointPosition.x, pointPosition.y);
+									} else {
+										ctx.lineTo(pointPosition.x, pointPosition.y);
+									}
+								}
+								ctx.closePath();
+								ctx.stroke();
+							}
+						}
+
+						if (this.options.ticks.display) {
+							ctx.font = helpers.fontString(this.options.ticks.fontSize, this.options.ticks.fontStyle, this.options.ticks.fontFamily);
+
+							if (this.options.ticks.showLabelBackdrop) {
+								var labelWidth = ctx.measureText(label).width;
+								ctx.fillStyle = this.options.ticks.backdropColor;
+								ctx.fillRect(
+									this.xCenter - labelWidth / 2 - this.options.ticks.backdropPaddingX,
+									yHeight - this.options.ticks.fontSize / 2 - this.options.ticks.backdropPaddingY,
+									labelWidth + this.options.ticks.backdropPaddingX * 2,
+									this.options.ticks.fontSize + this.options.ticks.backdropPaddingY * 2
+								);
+							}
+
+							ctx.textAlign = 'center';
+							ctx.textBaseline = "middle";
+							ctx.fillStyle = this.options.ticks.fontColor;
+							ctx.fillText(label, this.xCenter, yHeight);
+						}
+					}
+				}, this);
+
+				if (!this.options.lineArc) {
+					ctx.lineWidth = this.options.angleLines.lineWidth;
+					ctx.strokeStyle = this.options.angleLines.color;
+
+					for (var i = this.getValueCount() - 1; i >= 0; i--) {
+						if (this.options.angleLines.display) {
+							var outerPosition = this.getPointPosition(i, this.getDistanceFromCenterForValue(this.options.reverse ? this.min : this.max));
+							ctx.beginPath();
+							ctx.moveTo(this.xCenter, this.yCenter);
+							ctx.lineTo(outerPosition.x, outerPosition.y);
+							ctx.stroke();
+							ctx.closePath();
+						}
+						// Extra 3px out for some label spacing
+						var pointLabelPosition = this.getPointPosition(i, this.getDistanceFromCenterForValue(this.options.reverse ? this.min : this.max) + 5);
+						ctx.font = helpers.fontString(this.options.pointLabels.fontSize, this.options.pointLabels.fontStyle, this.options.pointLabels.fontFamily);
+						ctx.fillStyle = this.options.pointLabels.fontColor;
+
+						var labelsCount = this.chart.data.labels.length,
+							halfLabelsCount = this.chart.data.labels.length / 2,
+							quarterLabelsCount = halfLabelsCount / 2,
+							upperHalf = (i < quarterLabelsCount || i > labelsCount - quarterLabelsCount),
+							exactQuarter = (i === quarterLabelsCount || i === labelsCount - quarterLabelsCount);
+						if (i === 0) {
+							ctx.textAlign = 'center';
+						} else if (i === halfLabelsCount) {
+							ctx.textAlign = 'center';
+						} else if (i < halfLabelsCount) {
+							ctx.textAlign = 'left';
+						} else {
+							ctx.textAlign = 'right';
+						}
+
+						// Set the correct text baseline based on outer positioning
+						if (exactQuarter) {
+							ctx.textBaseline = 'middle';
+						} else if (upperHalf) {
+							ctx.textBaseline = 'bottom';
+						} else {
+							ctx.textBaseline = 'top';
+						}
+
+						ctx.fillText(this.chart.data.labels[i], pointLabelPosition.x, pointLabelPosition.y);
+					}
+				}
+			}
+		}
+	});
+	Chart.scaleService.registerScaleType("radialLinear", LinearRadialScale, defaultConfig);
+
+
+}).call(this);

src/scales/scale.time.js

@@ -0,0 +1,281 @@
+(function(moment) {
+	"use strict";
+
+	if (!moment) {
+		console.warn('Chart.js - Moment.js could not be found! You must include it before Chart.js to use the time scale. Download at http://momentjs.com/');
+		return;
+	}
+
+	var root = this,
+		Chart = root.Chart,
+		helpers = Chart.helpers;
+
+	var time = {
+		units: [
+			{
+				name: 'millisecond',
+				steps: [1, 2, 5, 10, 20, 50, 100, 250, 500]
+			}, {
+				name: 'second',
+				steps: [1, 2, 5, 10, 30]
+			}, {
+				name: 'minute',
+				steps: [1, 2, 5, 10, 30]
+			}, {
+				name: 'hour',
+				steps: [1, 2, 3, 6, 12]
+			}, {
+				name: 'day',
+				steps: [1, 2, 5]
+			}, {
+				name: 'week',
+				maxStep: 4
+			}, {
+				name: 'month',
+				maxStep: 3
+			}, {
+				name: 'quarter',
+				maxStep: 4,
+			}, {
+				name: 'year',
+				maxStep: false
+			},
+		],
+	};
+
+	var defaultConfig = {
+		position: "bottom",
+
+		time: {
+			format: false, // false == date objects or use pattern string from http://momentjs.com/docs/#/parsing/string-format/
+			unit: false, // false == automatic or override with week, month, year, etc.
+			round: false, // none, or override with week, month, year, etc.
+			displayFormat: false, // DEPRECATED
+
+			// defaults to unit's corresponding unitFormat below or override using pattern string from http://momentjs.com/docs/#/displaying/format/
+			displayFormats: {
+				'millisecond': 'SSS [ms]',
+				'second': 'h:mm:ss a', // 11:20:01 AM
+				'minute': 'h:mm:ss a', // 11:20:01 AM
+				'hour': 'MMM D, hA', // Sept 4, 5PM
+				'day': 'll', // Sep 4 2015
+				'week': 'll', // Week 46, or maybe "[W]WW - YYYY" ?
+				'month': 'MMM YYYY', // Sept 2015
+				'quarter': '[Q]Q - YYYY', // Q3
+				'year': 'YYYY', // 2015
+			}, 
+		},
+	};
+
+	var TimeScale = Chart.Scale.extend({
+		getLabelMoment: function(datasetIndex, index) {
+			return this.labelMoments[datasetIndex][index];
+		},
+		determineDataLimits: function() {
+			this.labelMoments = [];
+			
+			// Only parse these once. If the dataset does not have data as x,y pairs, we will use
+			// these 
+			var scaleLabelMoments = [];
+			if (this.chart.data.labels && this.chart.data.labels.length > 0) {
+				helpers.each(this.chart.data.labels, function(label, index) {
+					var labelMoment = this.parseTime(label);
+					if (this.options.time.round) {
+						labelMoment.startOf(this.options.time.round);
+					}
+					scaleLabelMoments.push(labelMoment);
+				}, this);
+
+				if (this.options.time.min) {
+					this.firstTick = this.parseTime(this.options.time.min);
+				} else {
+					this.firstTick = moment.min.call(this, scaleLabelMoments);
+				}
+
+				if (this.options.time.max) {
+					this.lastTick = this.parseTime(this.options.time.max);
+				} else {
+					this.lastTick = moment.max.call(this, scaleLabelMoments);
+				}
+			} else {
+				this.firstTick = null;
+				this.lastTick = null;
+			}
+
+			helpers.each(this.chart.data.datasets, function(dataset, datasetIndex) {
+				var momentsForDataset = [];
+
+				if (typeof dataset.data[0] === 'object') {
+					helpers.each(dataset.data, function(value, index) {
+						var labelMoment = this.parseTime(this.getRightValue(value));
+						if (this.options.time.round) {
+							labelMoment.startOf(this.options.time.round);
+						}
+						momentsForDataset.push(labelMoment);
+
+						// May have gone outside the scale ranges, make sure we keep the first and last ticks updated
+						this.firstTick = this.firstTick !== null ? moment.min(this.firstTick, labelMoment) : labelMoment;
+						this.lastTick = this.lastTick !== null ? moment.max(this.lastTick, labelMoment) : labelMoment;
+					}, this);
+				} else {
+					// We have no labels. Use the ones from the scale
+					momentsForDataset = scaleLabelMoments;
+				}
+
+				this.labelMoments.push(momentsForDataset);
+			}, this);
+
+			// We will modify these, so clone for later
+			this.firstTick = (this.firstTick || moment()).clone();
+			this.lastTick = (this.lastTick || moment()).clone();
+		},
+		buildTicks: function(index) {
+
+			this.ticks = [];
+			this.unitScale = 1; // How much we scale the unit by, ie 2 means 2x unit per step 
+
+			// Set unit override if applicable
+			if (this.options.time.unit) {
+				this.tickUnit = this.options.time.unit || 'day';
+				this.displayFormat = this.options.time.displayFormats[this.tickUnit];
+				this.tickRange = Math.ceil(this.lastTick.diff(this.firstTick, this.tickUnit, true));
+			} else {
+				// Determine the smallest needed unit of the time
+				var innerWidth = this.width - (this.paddingLeft + this.paddingRight);
+				var labelCapacity = innerWidth / (this.options.ticks.fontSize + 10);
+				var buffer = this.options.time.round ? 0 : 2;
+
+				// Start as small as possible
+				this.tickUnit = 'millisecond';
+				this.tickRange = Math.ceil(this.lastTick.diff(this.firstTick, this.tickUnit, true) + buffer);
+				this.displayFormat = this.options.time.displayFormats[this.tickUnit];
+
+				var unitDefinitionIndex = 0;
+				var unitDefinition = time.units[unitDefinitionIndex];
+
+				// While we aren't ideal and we don't have units left 
+				while (unitDefinitionIndex < time.units.length) {
+					// Can we scale this unit. If `false` we can scale infinitely
+					//var canScaleUnit = ;
+					this.unitScale = 1;
+
+					if (helpers.isArray(unitDefinition.steps) && Math.ceil(this.tickRange / labelCapacity) < helpers.max(unitDefinition.steps)) {
+						// Use one of the prefedined steps
+						for (var idx = 0; idx < unitDefinition.steps.length; ++idx) {
+							if (unitDefinition.steps[idx] > Math.ceil(this.tickRange / labelCapacity)) {
+								this.unitScale = unitDefinition.steps[idx];
+								break;
+							}
+						}
+
+						break;
+					} else if ((unitDefinition.maxStep === false) || (Math.ceil(this.tickRange / labelCapacity) < unitDefinition.maxStep)) {
+						// We have a max step. Scale this unit
+						this.unitScale = Math.ceil(this.tickRange / labelCapacity);
+						break;
+					} else {
+						// Move to the next unit up
+						++unitDefinitionIndex;
+						unitDefinition = time.units[unitDefinitionIndex];
+						
+						this.tickUnit = unitDefinition.name;
+						this.tickRange = Math.ceil(this.lastTick.diff(this.firstTick, this.tickUnit) + buffer);
+						this.displayFormat = this.options.time.displayFormats[unitDefinition.name];
+					}
+				}
+			}
+
+			this.firstTick.startOf(this.tickUnit);
+			this.lastTick.endOf(this.tickUnit);
+			this.smallestLabelSeparation = this.width;
+
+			helpers.each(this.chart.data.datasets, function(dataset, datasetIndex) {
+				for (var i = 1; i < this.labelMoments[datasetIndex].length; i++) {
+					this.smallestLabelSeparation = Math.min(this.smallestLabelSeparation, this.labelMoments[datasetIndex][i].diff(this.labelMoments[datasetIndex][i - 1], this.tickUnit, true));
+				}
+			}, this);
+
+			// Tick displayFormat override
+			if (this.options.time.displayFormat) {
+				this.displayFormat = this.options.time.displayFormat;
+			}
+
+			// For every unit in between the first and last moment, create a moment and add it to the ticks tick
+			for (var i = 0; i <= this.tickRange; ++i) {
+				if (i % this.unitScale === 0) {
+					this.ticks.push(this.firstTick.clone().add(i, this.tickUnit));
+				} else if (i === this.tickRange) {
+					// Expand out the last one if not an exact multiple
+					this.tickRange = Math.ceil(this.tickRange / this.unitScale) * this.unitScale;
+					this.ticks.push(this.firstTick.clone().add(this.tickRange, this.tickUnit));
+					this.lastTick = this.ticks[this.ticks.length - 1].clone();
+					break;
+				}
+			}
+		},
+		// Get tooltip label
+		getLabelForIndex: function(index, datasetIndex) {
+			var label = this.chart.data.labels && index < this.chart.data.labels.length ? this.chart.data.labels[index] : '';
+
+			if (typeof this.chart.data.datasets[datasetIndex].data[0] === 'object') {
+				label = this.getRightValue(this.chart.data.datasets[datasetIndex].data[index]);
+			}
+
+			// Format nicely
+			if (this.options.time.tooltipFormat) {
+				label = this.parseTime(label).format(this.options.time.tooltipFormat);
+			}
+
+			return label;
+		},
+		convertTicksToLabels: function() {
+			this.ticks = this.ticks.map(function(tick, index, ticks) {
+				var formattedTick = tick.format(this.displayFormat);
+
+				if (this.options.ticks.userCallback) {
+					return this.options.ticks.userCallback(formattedTick, index, ticks);
+				} else {
+					return formattedTick;
+				}
+			}, this);
+		},
+		getPixelForValue: function(value, index, datasetIndex, includeOffset) {
+			var labelMoment = this.getLabelMoment(datasetIndex, index);
+			var offset = labelMoment.diff(this.firstTick, this.tickUnit, true);
+
+			var decimal = offset / this.tickRange;
+
+			if (this.isHorizontal()) {
+				var innerWidth = this.width - (this.paddingLeft + this.paddingRight);
+				var valueWidth = innerWidth / Math.max(this.ticks.length - 1, 1);
+				var valueOffset = (innerWidth * decimal) + this.paddingLeft;
+
+				return this.left + Math.round(valueOffset);
+			} else {
+				var innerHeight = this.height - (this.paddingTop + this.paddingBottom);
+				var valueHeight = innerHeight / Math.max(this.ticks.length - 1, 1);
+				var heightOffset = (innerHeight * decimal) + this.paddingTop;
+
+				return this.top + Math.round(heightOffset);
+			}
+		},
+		parseTime: function(label) {
+			// Date objects
+			if (typeof label.getMonth === 'function' || typeof label == 'number') {
+				return moment(label);
+			}
+			// Moment support
+			if (label.isValid && label.isValid()) {
+				return label;
+			}
+			// Custom parsing (return an instance of moment)
+			if (typeof this.options.time.format !== 'string' && this.options.time.format.call) {
+				return this.options.time.format(label);
+			}
+			// Moment format parsing
+			return moment(label, this.options.time.format);
+		},
+	});
+	Chart.scaleService.registerScaleType("time", TimeScale, defaultConfig);
+
+}).call(this, moment);

test/controller.bar.tests.js

@@ -0,0 +1,608 @@
+// Test the bar controller
+describe('Bar controller tests', function() {
+	it('Should be constructed', function() {
+		var chart = {
+			data: {
+				datasets: [{
+
+				}, {
+					xAxisID: 'myXAxis',
+					yAxisID: 'myYAxis',
+					data: []
+				}]
+			}
+		};
+
+		var controller = new Chart.controllers.bar(chart, 1);
+		expect(controller).not.toBe(undefined);
+		expect(controller.index).toBe(1);
+		expect(chart.data.datasets[1].metaData).toEqual([]);
+
+		controller.updateIndex(0);
+		expect(controller.index).toBe(0);
+	});
+
+	it('Should use the first scale IDs if the dataset does not specify them', function() {
+		var chart = {
+			data: {
+				datasets: [{
+
+				}, {
+					data: []
+				}]
+			},
+			options: {
+				scales: {
+					xAxes: [{
+						id: 'firstXScaleID'
+					}],
+					yAxes: [{
+						id: 'firstYScaleID'
+					}]
+				}
+			}
+		};
+
+		var controller = new Chart.controllers.bar(chart, 1);
+		expect(chart.data.datasets[1].xAxisID).toBe('firstXScaleID');
+		expect(chart.data.datasets[1].yAxisID).toBe('firstYScaleID');
+	});
+
+	it('should correctly count the number of bar datasets', function() {
+		var chart = {
+			data: {
+				datasets: [{
+				}, {
+					bar: true
+				}, {
+					bar: true
+				}]
+			},
+			config: {
+				type: 'bar'
+			},
+			options: {
+				scales: {
+					xAxes: [{
+						id: 'firstXScaleID'
+					}],
+					yAxes: [{
+						id: 'firstYScaleID'
+					}]
+				}
+			}
+		};
+
+		var controller = new Chart.controllers.bar(chart, 1);
+		expect(controller.getBarCount()).toBe(2);
+	});
+
+	it('should correctly get the bar index accounting for hidden datasets', function() {
+		var chart = {
+			data: {
+				datasets: [{
+					bar: true,
+				}, {
+					bar: true,
+					hidden: true
+				}, {
+				}, {
+					bar: true,
+				}]
+			},
+			config: {
+				type: 'bar'
+			},
+			options: {
+				scales: {
+					xAxes: [{
+						id: 'firstXScaleID'
+					}],
+					yAxes: [{
+						id: 'firstYScaleID'
+					}]
+				}
+			}
+		};
+
+		var controller = new Chart.controllers.bar(chart, 1);
+		expect(controller.getBarIndex(0)).toBe(0);
+		expect(controller.getBarIndex(3)).toBe(1);
+	});
+
+	it('Should create rectangle elements for each data item during initialization', function() {
+		var chart = {
+			data: {
+				datasets: [{}, {
+					data: [10, 15, 0, -4]
+				}]
+			},
+			config: {
+				type: 'bar'
+			},
+			options: {
+				scales: {
+					xAxes: [{
+						id: 'firstXScaleID'
+					}],
+					yAxes: [{
+						id: 'firstYScaleID'
+					}]
+				}
+			}
+		};
+
+		var controller = new Chart.controllers.bar(chart, 1);
+
+		expect(chart.data.datasets[1].metaData.length).toBe(4); // 4 rectangles created
+		expect(chart.data.datasets[1].metaData[0] instanceof Chart.elements.Rectangle).toBe(true);
+		expect(chart.data.datasets[1].metaData[1] instanceof Chart.elements.Rectangle).toBe(true);
+		expect(chart.data.datasets[1].metaData[2] instanceof Chart.elements.Rectangle).toBe(true);
+		expect(chart.data.datasets[1].metaData[3] instanceof Chart.elements.Rectangle).toBe(true);
+	});
+
+	it('should update elements', function() {
+		var data = {
+			datasets: [{
+				data: [1, 2],
+				label: 'dataset1',
+				xAxisID: 'firstXScaleID',
+				yAxisID: 'firstYScaleID',
+				bar: true
+			}, {
+				data: [10, 15, 0, -4],
+				label: 'dataset2'
+			}],
+			labels: ['label1', 'label2', 'label3', 'label4']
+		};
+		var mockContext = window.createMockContext();
+
+		var VerticalScaleConstructor = Chart.scaleService.getScaleConstructor('linear');
+		var verticalScaleConfig = Chart.helpers.clone(Chart.scaleService.getScaleDefaults('linear'));
+		verticalScaleConfig = Chart.helpers.scaleMerge(verticalScaleConfig, Chart.defaults.bar.scales.yAxes[0]);
+		var yScale = new VerticalScaleConstructor({
+			ctx: mockContext,
+			options: verticalScaleConfig,
+			chart: {
+				data: data
+			},
+			id: 'firstYScaleID'
+		});
+
+		// Update ticks & set physical dimensions
+		var verticalSize = yScale.update(50, 200);
+		yScale.top = 0;
+		yScale.left = 0;
+		yScale.right = verticalSize.width;
+		yScale.bottom = verticalSize.height;
+
+		var HorizontalScaleConstructor = Chart.scaleService.getScaleConstructor('category');
+		var horizontalScaleConfig = Chart.helpers.clone(Chart.scaleService.getScaleDefaults('category'));
+		horizontalScaleConfig = Chart.helpers.scaleMerge(horizontalScaleConfig, Chart.defaults.bar.scales.xAxes[0]);
+		var xScale = new HorizontalScaleConstructor({
+			ctx: mockContext,
+			options: horizontalScaleConfig,
+			chart: {
+				data: data
+			},
+			id: 'firstXScaleID'
+		});
+
+		// Update ticks & set physical dimensions
+		var horizontalSize = xScale.update(200, 50);
+		xScale.left = yScale.right;
+		xScale.top = yScale.bottom;
+		xScale.right = horizontalSize.width + xScale.left;
+		xScale.bottom = horizontalSize.height + xScale.top;
+
+		var chart = {
+			data: data,
+			config: {
+				type: 'bar'
+			},
+			options: {
+				elements: {
+					rectangle: {
+						backgroundColor: 'rgb(255, 0, 0)',
+						borderColor: 'rgb(0, 0, 255)',
+						borderWidth: 2,
+					}
+				},
+				scales: {
+					xAxes: [{
+						id: 'firstXScaleID'
+					}],
+					yAxes: [{
+						id: 'firstYScaleID'
+					}]
+				}
+			},
+			scales: {
+				firstXScaleID: xScale,
+				firstYScaleID: yScale,
+			}
+		};
+
+		var controller = new Chart.controllers.bar(chart, 1);
+
+		chart.data.datasets[1].data = [1, 2]; // remove 2 items
+		controller.buildOrUpdateElements();
+		controller.update();
+
+		expect(chart.data.datasets[1].metaData.length).toBe(2);
+		
+		var bar1 = chart.data.datasets[1].metaData[0];
+		var bar2 = chart.data.datasets[1].metaData[1];
+
+		expect(bar1._datasetIndex).toBe(1);
+		expect(bar1._index).toBe(0);
+		expect(bar1._xScale).toBe(chart.scales.firstXScaleID);
+		expect(bar1._yScale).toBe(chart.scales.firstYScaleID);
+		expect(bar1._model).toEqual({
+			x: 113.60000000000001,
+			y: 194,
+			label: 'label1',
+			datasetLabel: 'dataset2',
+
+			base: 194,
+			width: 13.680000000000001,
+			backgroundColor: 'rgb(255, 0, 0)',
+			borderColor: 'rgb(0, 0, 255)',
+			borderWidth: 2,
+		});
+
+		expect(bar2._datasetIndex).toBe(1);
+		expect(bar2._index).toBe(1);
+		expect(bar2._xScale).toBe(chart.scales.firstXScaleID);
+		expect(bar2._yScale).toBe(chart.scales.firstYScaleID);
+		expect(bar2._model).toEqual({
+			x: 151.60000000000002,
+			y: 6,
+			label: 'label2',
+			datasetLabel: 'dataset2',
+
+			base: 194,
+			width: 13.680000000000001,
+			backgroundColor: 'rgb(255, 0, 0)',
+			borderColor: 'rgb(0, 0, 255)',
+			borderWidth: 2,
+		});
+
+		chart.data.datasets[1].data = [1, 2, 3];
+		controller.buildOrUpdateElements();
+		controller.update();
+
+		expect(chart.data.datasets[1].metaData.length).toBe(3); // should add a new meta data item
+	});
+
+	it ('should draw all bars', function() {
+		var data = {
+			datasets: [{}, {
+				data: [10, 15, 0, -4],
+				label: 'dataset2',
+				xAxisID: 'firstXScaleID',
+				yAxisID: 'firstYScaleID'
+			}],
+			labels: ['label1', 'label2', 'label3', 'label4']
+		};
+		var mockContext = window.createMockContext();
+
+		var VerticalScaleConstructor = Chart.scaleService.getScaleConstructor('linear');
+		var verticalScaleConfig = Chart.helpers.clone(Chart.scaleService.getScaleDefaults('linear'));
+		verticalScaleConfig = Chart.helpers.scaleMerge(verticalScaleConfig, Chart.defaults.bar.scales.yAxes[0]);
+		var yScale = new VerticalScaleConstructor({
+			ctx: mockContext,
+			options: verticalScaleConfig,
+			chart: {
+				data: data
+			},
+			id: 'firstYScaleID'
+		});
+
+		// Update ticks & set physical dimensions
+		var verticalSize = yScale.update(50, 200);
+		yScale.top = 0;
+		yScale.left = 0;
+		yScale.right = verticalSize.width;
+		yScale.bottom = verticalSize.height;
+
+		var HorizontalScaleConstructor = Chart.scaleService.getScaleConstructor('category');
+		var horizontalScaleConfig = Chart.helpers.clone(Chart.scaleService.getScaleDefaults('category'));
+		horizontalScaleConfig = Chart.helpers.scaleMerge(horizontalScaleConfig, Chart.defaults.bar.scales.xAxes[0]);
+		var xScale = new HorizontalScaleConstructor({
+			ctx: mockContext,
+			options: horizontalScaleConfig,
+			chart: {
+				data: data
+			},
+			id: 'firstXScaleID'
+		});
+
+		// Update ticks & set physical dimensions
+		var horizontalSize = xScale.update(200, 50);
+		xScale.left = yScale.right;
+		xScale.top = yScale.bottom;
+		xScale.right = horizontalSize.width + xScale.left;
+		xScale.bottom = horizontalSize.height + xScale.top;
+
+
+		var chart = {
+			data: data,
+			config: {
+				type: 'bar'
+			},
+			options: {
+				scales: {
+					xAxes: [{
+						id: 'firstXScaleID'
+					}],
+					yAxes: [{
+						id: 'firstYScaleID'
+					}]
+				}
+			},
+			scales: {
+				firstXScaleID: xScale,
+				firstYScaleID: yScale,
+			}
+		};
+
+		var controller = new Chart.controllers.bar(chart, 1);
+
+		spyOn(chart.data.datasets[1].metaData[0], 'draw');
+		spyOn(chart.data.datasets[1].metaData[1], 'draw');
+		spyOn(chart.data.datasets[1].metaData[2], 'draw');
+		spyOn(chart.data.datasets[1].metaData[3], 'draw');
+
+		controller.draw();
+
+		expect(chart.data.datasets[1].metaData[0].draw.calls.count()).toBe(1);
+		expect(chart.data.datasets[1].metaData[1].draw.calls.count()).toBe(1);
+		expect(chart.data.datasets[1].metaData[2].draw.calls.count()).toBe(1);
+		expect(chart.data.datasets[1].metaData[3].draw.calls.count()).toBe(1);
+	});
+
+	it ('should set hover styles on rectangles', function() {
+		var data = {
+			datasets: [{}, {
+				data: [10, 15, 0, -4],
+				label: 'dataset2',
+				xAxisID: 'firstXScaleID',
+				yAxisID: 'firstYScaleID'
+			}],
+			labels: ['label1', 'label2', 'label3', 'label4']
+		};
+		var mockContext = window.createMockContext();
+
+		var VerticalScaleConstructor = Chart.scaleService.getScaleConstructor('linear');
+		var verticalScaleConfig = Chart.helpers.clone(Chart.scaleService.getScaleDefaults('linear'));
+		verticalScaleConfig = Chart.helpers.scaleMerge(verticalScaleConfig, Chart.defaults.bar.scales.yAxes[0]);
+		var yScale = new VerticalScaleConstructor({
+			ctx: mockContext,
+			options: verticalScaleConfig,
+			chart: {
+				data: data
+			},
+			id: 'firstYScaleID'
+		});
+
+		// Update ticks & set physical dimensions
+		var verticalSize = yScale.update(50, 200);
+		yScale.top = 0;
+		yScale.left = 0;
+		yScale.right = verticalSize.width;
+		yScale.bottom = verticalSize.height;
+
+		var HorizontalScaleConstructor = Chart.scaleService.getScaleConstructor('category');
+		var horizontalScaleConfig = Chart.helpers.clone(Chart.scaleService.getScaleDefaults('category'));
+		horizontalScaleConfig = Chart.helpers.scaleMerge(horizontalScaleConfig, Chart.defaults.bar.scales.xAxes[0]);
+		var xScale = new HorizontalScaleConstructor({
+			ctx: mockContext,
+			options: horizontalScaleConfig,
+			chart: {
+				data: data
+			},
+			id: 'firstXScaleID'
+		});
+
+		// Update ticks & set physical dimensions
+		var horizontalSize = xScale.update(200, 50);
+		xScale.left = yScale.right;
+		xScale.top = yScale.bottom;
+		xScale.right = horizontalSize.width + xScale.left;
+		xScale.bottom = horizontalSize.height + xScale.top;
+
+
+		var chart = {
+			data: data,
+			config: {
+				type: 'bar'
+			},
+			options: {
+				elements: {
+					rectangle: {
+						backgroundColor: 'rgb(255, 0, 0)',
+						borderColor: 'rgb(0, 0, 255)',
+						borderWidth: 2,
+					}
+				},
+				scales: {
+					xAxes: [{
+						id: 'firstXScaleID'
+					}],
+					yAxes: [{
+						id: 'firstYScaleID'
+					}]
+				}
+			},
+			scales: {
+				firstXScaleID: xScale,
+				firstYScaleID: yScale,
+			}
+		};
+
+		var controller = new Chart.controllers.bar(chart, 1);
+		controller.update();
+		var bar = chart.data.datasets[1].metaData[0];
+		controller.setHoverStyle(bar);
+
+		expect(bar._model.backgroundColor).toBe('rgb(230, 0, 0)');
+		expect(bar._model.borderColor).toBe('rgb(0, 0, 230)');
+		expect(bar._model.borderWidth).toBe(2);
+
+		// Set a dataset style
+		chart.data.datasets[1].hoverBackgroundColor = 'rgb(128, 128, 128)';
+		chart.data.datasets[1].hoverBorderColor = 'rgb(0, 0, 0)';
+		chart.data.datasets[1].hoverBorderWidth = 5;
+
+		controller.setHoverStyle(bar);
+
+		expect(bar._model.backgroundColor).toBe('rgb(128, 128, 128)');
+		expect(bar._model.borderColor).toBe('rgb(0, 0, 0)');
+		expect(bar._model.borderWidth).toBe(5);
+
+		// Should work with array styles so that we can set per bar
+		chart.data.datasets[1].hoverBackgroundColor = ['rgb(255, 255, 255)', 'rgb(128, 128, 128)'];
+		chart.data.datasets[1].hoverBorderColor = ['rgb(9, 9, 9)', 'rgb(0, 0, 0)'];
+		chart.data.datasets[1].hoverBorderWidth = [2.5, 5];
+
+		controller.setHoverStyle(bar);
+
+		expect(bar._model.backgroundColor).toBe('rgb(255, 255, 255)');
+		expect(bar._model.borderColor).toBe('rgb(9, 9, 9)');
+		expect(bar._model.borderWidth).toBe(2.5);
+
+		// Should allow a custom style
+		bar.custom = {
+			hoverBackgroundColor: 'rgb(255, 0, 0)',
+			hoverBorderColor: 'rgb(0, 255, 0)',
+			hoverBorderWidth: 1.5
+		};
+
+		controller.setHoverStyle(bar);
+
+		expect(bar._model.backgroundColor).toBe('rgb(255, 0, 0)');
+		expect(bar._model.borderColor).toBe('rgb(0, 255, 0)');
+		expect(bar._model.borderWidth).toBe(1.5);
+	});
+
+	it ('should remove a hover style from a bar', function() {
+		var data = {
+			datasets: [{}, {
+				data: [10, 15, 0, -4],
+				label: 'dataset2',
+				xAxisID: 'firstXScaleID',
+				yAxisID: 'firstYScaleID'
+			}],
+			labels: ['label1', 'label2', 'label3', 'label4']
+		};
+		var mockContext = window.createMockContext();
+
+		var VerticalScaleConstructor = Chart.scaleService.getScaleConstructor('linear');
+		var verticalScaleConfig = Chart.helpers.clone(Chart.scaleService.getScaleDefaults('linear'));
+		verticalScaleConfig = Chart.helpers.scaleMerge(verticalScaleConfig, Chart.defaults.bar.scales.yAxes[0]);
+		var yScale = new VerticalScaleConstructor({
+			ctx: mockContext,
+			options: verticalScaleConfig,
+			chart: {
+				data: data
+			},
+			id: 'firstYScaleID'
+		});
+
+		// Update ticks & set physical dimensions
+		var verticalSize = yScale.update(50, 200);
+		yScale.top = 0;
+		yScale.left = 0;
+		yScale.right = verticalSize.width;
+		yScale.bottom = verticalSize.height;
+
+		var HorizontalScaleConstructor = Chart.scaleService.getScaleConstructor('category');
+		var horizontalScaleConfig = Chart.helpers.clone(Chart.scaleService.getScaleDefaults('category'));
+		horizontalScaleConfig = Chart.helpers.scaleMerge(horizontalScaleConfig, Chart.defaults.bar.scales.xAxes[0]);
+		var xScale = new HorizontalScaleConstructor({
+			ctx: mockContext,
+			options: horizontalScaleConfig,
+			chart: {
+				data: data
+			},
+			id: 'firstXScaleID'
+		});
+
+		// Update ticks & set physical dimensions
+		var horizontalSize = xScale.update(200, 50);
+		xScale.left = yScale.right;
+		xScale.top = yScale.bottom;
+		xScale.right = horizontalSize.width + xScale.left;
+		xScale.bottom = horizontalSize.height + xScale.top;
+
+
+		var chart = {
+			data: data,
+			config: {
+				type: 'bar'
+			},
+			options: {
+				elements: {
+					rectangle: {
+						backgroundColor: 'rgb(255, 0, 0)',
+						borderColor: 'rgb(0, 0, 255)',
+						borderWidth: 2,
+					}
+				},
+				scales: {
+					xAxes: [{
+						id: 'firstXScaleID'
+					}],
+					yAxes: [{
+						id: 'firstYScaleID'
+					}]
+				}
+			},
+			scales: {
+				firstXScaleID: xScale,
+				firstYScaleID: yScale,
+			}
+		};
+
+		var controller = new Chart.controllers.bar(chart, 1);
+		controller.update();
+		var bar = chart.data.datasets[1].metaData[0];
+
+		// Change default
+		chart.options.elements.rectangle.backgroundColor = 'rgb(128, 128, 128)';
+		chart.options.elements.rectangle.borderColor = 'rgb(15, 15, 15)';
+		chart.options.elements.rectangle.borderWidth = 3.14;
+
+		// Remove to defaults
+		controller.removeHoverStyle(bar);
+
+		expect(bar._model.backgroundColor).toBe('rgb(128, 128, 128)');
+		expect(bar._model.borderColor).toBe('rgb(15, 15, 15)');
+		expect(bar._model.borderWidth).toBe(3.14);
+
+		// Should work with array styles so that we can set per bar
+		chart.data.datasets[1].backgroundColor = ['rgb(255, 255, 255)', 'rgb(128, 128, 128)'];
+		chart.data.datasets[1].borderColor = ['rgb(9, 9, 9)', 'rgb(0, 0, 0)'];
+		chart.data.datasets[1].borderWidth = [2.5, 5];
+
+		controller.removeHoverStyle(bar);
+
+		expect(bar._model.backgroundColor).toBe('rgb(255, 255, 255)');
+		expect(bar._model.borderColor).toBe('rgb(9, 9, 9)');
+		expect(bar._model.borderWidth).toBe(2.5);
+
+		// Should allow a custom style
+		bar.custom = {
+			backgroundColor: 'rgb(255, 0, 0)',
+			borderColor: 'rgb(0, 255, 0)',
+			borderWidth: 1.5
+		};
+
+		controller.removeHoverStyle(bar);
+
+		expect(bar._model.backgroundColor).toBe('rgb(255, 0, 0)');
+		expect(bar._model.borderColor).toBe('rgb(0, 255, 0)');
+		expect(bar._model.borderWidth).toBe(1.5);
+	});	
+});

test/controller.doughnut.tests.js

@@ -0,0 +1,426 @@
+// Test the bar controller
+describe('Doughnut controller tests', function() {
+	it('Should be constructed', function() {
+		var chart = {
+			data: {
+				datasets: [{
+					data: []
+				}]
+			}
+		};
+
+		var controller = new Chart.controllers.doughnut(chart, 0);
+		expect(controller).not.toBe(undefined);
+		expect(controller.index).toBe(0);
+		expect(chart.data.datasets[0].metaData).toEqual([]);
+
+		controller.updateIndex(1);
+		expect(controller.index).toBe(1);
+	});
+
+	it('Should create arc elements for each data item during initialization', function() {
+		var chart = {
+			data: {
+				datasets: [{
+					data: [10, 15, 0, 4]
+				}]
+			},
+			config: {
+				type: 'doughnut'
+			},
+			options: {
+			}
+		};
+
+		var controller = new Chart.controllers.doughnut(chart, 0);
+
+		expect(chart.data.datasets[0].metaData.length).toBe(4); // 4 rectangles created
+		expect(chart.data.datasets[0].metaData[0] instanceof Chart.elements.Arc).toBe(true);
+		expect(chart.data.datasets[0].metaData[1] instanceof Chart.elements.Arc).toBe(true);
+		expect(chart.data.datasets[0].metaData[2] instanceof Chart.elements.Arc).toBe(true);
+		expect(chart.data.datasets[0].metaData[3] instanceof Chart.elements.Arc).toBe(true);
+	});
+
+	it ('Should reset and update elements', function() {
+		var chart = {
+			chartArea: {
+				left: 0,
+				top: 0,
+				right: 100,
+				bottom: 200,
+			},
+			data: {
+				datasets: [{
+					hidden: true
+				}, {
+					data: [10, 15, 0, 4]
+				}, {
+					data: [1]
+				}],
+				labels: ['label0', 'label1', 'label2', 'label3']
+			},
+			config: {
+				type: 'doughnut'
+			},
+			options: {
+				animation: {
+					animateRotate: false,
+					animateScale: false
+				},
+				cutoutPercentage: 50,
+				elements: {
+					arc: {
+						backgroundColor: 'rgb(255, 0, 0)',
+						borderColor: 'rgb(0, 0, 255)',
+						borderWidth: 2,
+						hoverBackgroundColor: 'rgb(255, 255, 255)'
+					}
+				}
+			}
+		};
+
+		var controller = new Chart.controllers.doughnut(chart, 1);
+		controller.reset(); // reset first
+
+		expect(chart.data.datasets[1].metaData[0]._model).toEqual({
+			x: 50,
+			y: 100,
+			startAngle: Math.PI * -0.5,
+			endAngle: Math.PI * -0.5,
+			circumference: 2.166614539857563,
+			outerRadius: 49,
+			innerRadius: 36.75
+		});
+
+		expect(chart.data.datasets[1].metaData[1]._model).toEqual({
+			x: 50,
+			y: 100,
+			startAngle: Math.PI * -0.5,
+			endAngle: Math.PI * -0.5,
+			circumference: 3.2499218097863447,
+			outerRadius: 49,
+			innerRadius: 36.75
+		});
+
+		expect(chart.data.datasets[1].metaData[2]._model).toEqual({
+			x: 50,
+			y: 100,
+			startAngle: Math.PI * -0.5,
+			endAngle: Math.PI * -0.5,
+			circumference: 0,
+			outerRadius: 49,
+			innerRadius: 36.75
+		});
+
+		expect(chart.data.datasets[1].metaData[3]._model).toEqual({
+			x: 50,
+			y: 100,
+			startAngle: Math.PI * -0.5,
+			endAngle: Math.PI * -0.5,
+			circumference: 0.8666458159430251,
+			outerRadius: 49,
+			innerRadius: 36.75
+		});
+
+		controller.update();
+
+		expect(chart.data.datasets[1].metaData[0]._model).toEqual({
+			x: 50,
+			y: 100,
+			startAngle: Math.PI * -0.5,
+			endAngle: 0.5958182130626666,
+			circumference: 2.166614539857563,
+			outerRadius: 49,
+			innerRadius: 36.75,
+
+			backgroundColor: 'rgb(255, 0, 0)',
+			borderColor: 'rgb(0, 0, 255)',
+			borderWidth: 2,
+			hoverBackgroundColor: 'rgb(255, 255, 255)',
+
+			label: 'label0',
+		});
+
+		expect(chart.data.datasets[1].metaData[1]._model).toEqual({
+			x: 50,
+			y: 100,
+			startAngle: 0.5958182130626666,
+			endAngle: 3.8457400228490113,
+			circumference: 3.2499218097863447,
+			outerRadius: 49,
+			innerRadius: 36.75,
+
+			backgroundColor: 'rgb(255, 0, 0)',
+			borderColor: 'rgb(0, 0, 255)',
+			borderWidth: 2,
+			hoverBackgroundColor: 'rgb(255, 255, 255)',
+
+			label: 'label1'
+		});
+
+		expect(chart.data.datasets[1].metaData[2]._model).toEqual({
+			x: 50,
+			y: 100,
+			startAngle: 3.8457400228490113,
+			endAngle: 3.8457400228490113,
+			circumference: 0,
+			outerRadius: 49,
+			innerRadius: 36.75,
+
+			backgroundColor: 'rgb(255, 0, 0)',
+			borderColor: 'rgb(0, 0, 255)',
+			borderWidth: 2,
+			hoverBackgroundColor: 'rgb(255, 255, 255)',
+
+			label: 'label2'
+		});
+
+		expect(chart.data.datasets[1].metaData[3]._model).toEqual({
+			x: 50,
+			y: 100,
+			startAngle: 3.8457400228490113,
+			endAngle: 4.712385838792036,
+			circumference: 0.8666458159430251,
+			outerRadius: 49,
+			innerRadius: 36.75,
+
+			backgroundColor: 'rgb(255, 0, 0)',
+			borderColor: 'rgb(0, 0, 255)',
+			borderWidth: 2,
+			hoverBackgroundColor: 'rgb(255, 255, 255)',
+			
+			label: 'label3'
+		});
+
+		// Change the amount of data and ensure that arcs are updated accordingly
+		chart.data.datasets[1].data = [1, 2]; // remove 2 elements from dataset 0
+		controller.buildOrUpdateElements();
+		controller.update();
+
+		expect(chart.data.datasets[1].metaData.length).toBe(2);
+		expect(chart.data.datasets[1].metaData[0] instanceof Chart.elements.Arc).toBe(true);
+		expect(chart.data.datasets[1].metaData[1] instanceof Chart.elements.Arc).toBe(true);
+
+		// Add data
+		chart.data.datasets[1].data = [1, 2, 3, 4];
+		controller.buildOrUpdateElements();
+		controller.update();
+
+		expect(chart.data.datasets[1].metaData.length).toBe(4);
+		expect(chart.data.datasets[1].metaData[0] instanceof Chart.elements.Arc).toBe(true);
+		expect(chart.data.datasets[1].metaData[1] instanceof Chart.elements.Arc).toBe(true);
+		expect(chart.data.datasets[1].metaData[2] instanceof Chart.elements.Arc).toBe(true);
+		expect(chart.data.datasets[1].metaData[3] instanceof Chart.elements.Arc).toBe(true);
+	});
+
+	it ('should draw all arcs', function() {
+		var chart = {
+			chartArea: {
+				left: 0,
+				top: 0,
+				right: 100,
+				bottom: 200,
+			},
+			data: {
+				datasets: [{
+					data: [10, 15, 0, 4]
+				}],
+				labels: ['label0', 'label1', 'label2', 'label3']
+			},
+			config: {
+				type: 'doughnut'
+			},
+			options: {
+				animation: {
+					animateRotate: false,
+					animateScale: false
+				},
+				cutoutPercentage: 50,
+				elements: {
+					arc: {
+						backgroundColor: 'rgb(255, 0, 0)',
+						borderColor: 'rgb(0, 0, 255)',
+						borderWidth: 2,
+						hoverBackgroundColor: 'rgb(255, 255, 255)'
+					}
+				}
+			}
+		};
+
+		var controller = new Chart.controllers.doughnut(chart, 0);
+
+		spyOn(chart.data.datasets[0].metaData[0], 'draw');
+		spyOn(chart.data.datasets[0].metaData[1], 'draw');
+		spyOn(chart.data.datasets[0].metaData[2], 'draw');
+		spyOn(chart.data.datasets[0].metaData[3], 'draw');
+
+		controller.draw();
+
+		expect(chart.data.datasets[0].metaData[0].draw.calls.count()).toBe(1);
+		expect(chart.data.datasets[0].metaData[1].draw.calls.count()).toBe(1);
+		expect(chart.data.datasets[0].metaData[2].draw.calls.count()).toBe(1);
+		expect(chart.data.datasets[0].metaData[3].draw.calls.count()).toBe(1);
+	});
+
+	it ('should set the hover style of an arc', function() {
+		var chart = {
+			chartArea: {
+				left: 0,
+				top: 0,
+				right: 100,
+				bottom: 200,
+			},
+			data: {
+				datasets: [{
+					data: [10, 15, 0, 4]
+				}],
+				labels: ['label0', 'label1', 'label2', 'label3']
+			},
+			config: {
+				type: 'doughnut'
+			},
+			options: {
+				animation: {
+					animateRotate: false,
+					animateScale: false
+				},
+				cutoutPercentage: 50,
+				elements: {
+					arc: {
+						backgroundColor: 'rgb(255, 0, 0)',
+						borderColor: 'rgb(0, 0, 255)',
+						borderWidth: 2,
+					}
+				}
+			}
+		};
+
+		var controller = new Chart.controllers.doughnut(chart, 0);
+		controller.reset(); // reset first
+		controller.update();
+
+		var arc = chart.data.datasets[0].metaData[0];
+
+		controller.setHoverStyle(arc);
+
+		expect(arc._model.backgroundColor).toBe('rgb(230, 0, 0)');
+		expect(arc._model.borderColor).toBe('rgb(0, 0, 230)');
+		expect(arc._model.borderWidth).toBe(2);
+
+		// Set a dataset style to take precedence
+		chart.data.datasets[0].hoverBackgroundColor = 'rgb(9, 9, 9)';
+		chart.data.datasets[0].hoverBorderColor = 'rgb(18, 18, 18)';
+		chart.data.datasets[0].hoverBorderWidth = 1.56;
+
+		controller.setHoverStyle(arc);
+
+		expect(arc._model.backgroundColor).toBe('rgb(9, 9, 9)');
+		expect(arc._model.borderColor).toBe('rgb(18, 18, 18)');
+		expect(arc._model.borderWidth).toBe(1.56);
+
+		// Dataset styles can be an array
+		chart.data.datasets[0].hoverBackgroundColor = ['rgb(255, 255, 255)', 'rgb(9, 9, 9)'];
+		chart.data.datasets[0].hoverBorderColor = ['rgb(18, 18, 18)'];
+		chart.data.datasets[0].hoverBorderWidth = [0.1, 1.56];
+
+		controller.setHoverStyle(arc);
+
+		expect(arc._model.backgroundColor).toBe('rgb(255, 255, 255)');
+		expect(arc._model.borderColor).toBe('rgb(18, 18, 18)');
+		expect(arc._model.borderWidth).toBe(0.1);
+
+		// Element custom styles also work
+		arc.custom = {
+			hoverBackgroundColor: 'rgb(7, 7, 7)',
+			hoverBorderColor: 'rgb(17, 17, 17)',
+			hoverBorderWidth: 3.14159,
+		};
+
+		controller.setHoverStyle(arc);
+
+		expect(arc._model.backgroundColor).toBe('rgb(7, 7, 7)');
+		expect(arc._model.borderColor).toBe('rgb(17, 17, 17)');
+		expect(arc._model.borderWidth).toBe(3.14159);
+	});
+
+	it ('should unset the hover style of an arc', function() {
+		var chart = {
+			chartArea: {
+				left: 0,
+				top: 0,
+				right: 100,
+				bottom: 200,
+			},
+			data: {
+				datasets: [{
+					data: [10, 15, 0, 4]
+				}],
+				labels: ['label0', 'label1', 'label2', 'label3']
+			},
+			config: {
+				type: 'doughnut'
+			},
+			options: {
+				animation: {
+					animateRotate: false,
+					animateScale: false
+				},
+				cutoutPercentage: 50,
+				elements: {
+					arc: {
+						backgroundColor: 'rgb(255, 0, 0)',
+						borderColor: 'rgb(0, 0, 255)',
+						borderWidth: 2,
+					}
+				}
+			}
+		};
+
+		var controller = new Chart.controllers.doughnut(chart, 0);
+		controller.reset(); // reset first
+		controller.update();
+
+		var arc = chart.data.datasets[0].metaData[0];
+
+		controller.removeHoverStyle(arc);
+
+		expect(arc._model.backgroundColor).toBe('rgb(255, 0, 0)');
+		expect(arc._model.borderColor).toBe('rgb(0, 0, 255)');
+		expect(arc._model.borderWidth).toBe(2);
+
+		// Set a dataset style to take precedence
+		chart.data.datasets[0].backgroundColor = 'rgb(9, 9, 9)';
+		chart.data.datasets[0].borderColor = 'rgb(18, 18, 18)';
+		chart.data.datasets[0].borderWidth = 1.56;
+
+		controller.removeHoverStyle(arc);
+
+		expect(arc._model.backgroundColor).toBe('rgb(9, 9, 9)');
+		expect(arc._model.borderColor).toBe('rgb(18, 18, 18)');
+		expect(arc._model.borderWidth).toBe(1.56);
+
+		// Dataset styles can be an array
+		chart.data.datasets[0].backgroundColor = ['rgb(255, 255, 255)', 'rgb(9, 9, 9)'];
+		chart.data.datasets[0].borderColor = ['rgb(18, 18, 18)'];
+		chart.data.datasets[0].borderWidth = [0.1, 1.56];
+
+		controller.removeHoverStyle(arc);
+
+		expect(arc._model.backgroundColor).toBe('rgb(255, 255, 255)');
+		expect(arc._model.borderColor).toBe('rgb(18, 18, 18)');
+		expect(arc._model.borderWidth).toBe(0.1);
+
+		// Element custom styles also work
+		arc.custom = {
+			backgroundColor: 'rgb(7, 7, 7)',
+			borderColor: 'rgb(17, 17, 17)',
+			borderWidth: 3.14159,
+		};
+
+		controller.removeHoverStyle(arc);
+
+		expect(arc._model.backgroundColor).toBe('rgb(7, 7, 7)');
+		expect(arc._model.borderColor).toBe('rgb(17, 17, 17)');
+		expect(arc._model.borderWidth).toBe(3.14159);
+	});
+});

test/core.element.tests.js

@@ -0,0 +1,45 @@
+// Test the core element functionality
+describe('Core element tests', function() {
+	it ('should transition model properties', function() {
+		var element = new Chart.Element({
+			_model: {
+				numberProp: 0,
+				numberProp2: 100,
+				_underscoreProp: 0,
+				stringProp: 'abc',
+				objectProp: {
+					myObject: true
+				},
+				colorProp: 'rgb(0, 0, 0)'
+			}
+		});
+
+		// First transition clones model into view
+		element.transition(0.25);
+		expect(element._view).toEqual(element._model);
+		expect(element._start).toEqual(element._model); // also cloned
+
+		expect(element._view.objectProp).toBe(element._model.objectProp); // not cloned
+		expect(element._start.objectProp).toEqual(element._model.objectProp); // not cloned
+
+		element._model.numberProp = 100;
+		element._model.numberProp2 = 250;
+		element._model._underscoreProp = 200;
+		element._model.stringProp = 'def'
+		element._model.newStringProp = 'newString';
+		element._model.colorProp = 'rgb(255, 255, 0)'
+
+		element.transition(0.25);
+		expect(element._view).toEqual({
+			numberProp: 25,
+			numberProp2: 137.5,
+			_underscoreProp: 0, // underscore props are not transition to a new value
+			stringProp: 'def',
+			newStringProp: 'newString',
+			objectProp: {
+				myObject: true
+			},
+			colorProp: 'rgb(64, 64, 0)',
+		});
+	});
+});

test/core.helpers.tests.js

@@ -0,0 +1,496 @@
+describe('Core helper tests', function() {
+
+	var helpers;
+
+	beforeAll(function() {
+		helpers = window.Chart.helpers;
+	});
+
+	it('Should iterate over an array and pass the extra data to that function', function() {
+		var testData = [0, 9, "abc"];
+		var scope = {}; // fake out the scope and ensure that 'this' is the correct thing
+
+		helpers.each(testData, function(item, index) {
+			expect(item).not.toBe(undefined);
+			expect(index).not.toBe(undefined);
+
+			expect(testData[index]).toBe(item);
+			expect(this).toBe(scope);
+		}, scope);
+
+		// Reverse iteration
+		var iterated = [];
+		helpers.each(testData, function(item, index) {
+			expect(item).not.toBe(undefined);
+			expect(index).not.toBe(undefined);
+
+			expect(testData[index]).toBe(item);
+			expect(this).toBe(scope);
+
+			iterated.push(item);
+		}, scope, true);
+
+		expect(iterated.slice().reverse()).toEqual(testData);
+	});
+
+	it('Should iterate over properties in an object', function() {
+		var testData = {
+			myProp1: 'abc',
+			myProp2: 276,
+			myProp3: ['a', 'b']
+		};
+
+		helpers.each(testData, function(value, key) {
+			if (key === 'myProp1') {
+				expect(value).toBe('abc');
+			} else if (key === 'myProp2') {
+				expect(value).toBe(276);
+			} else if (key === 'myProp3') {
+				expect(value).toEqual(['a', 'b']);
+			} else {
+				expect(false).toBe(true);
+			}
+		});
+	});
+
+	it('should not error when iterating over a null object', function() {
+		expect(function() {
+			helpers.each(undefined);
+		}).not.toThrow();
+	});
+
+	it('Should clone an object', function() {
+		var testData = {
+			myProp1: 'abc',
+			myProp2: ['a', 'b'],
+			myProp3: {
+				myProp4: 5,
+				myProp5: [1, 2]
+			}
+		};
+
+		var clone = helpers.clone(testData);
+		expect(clone).toEqual(testData);
+		expect(clone).not.toBe(testData);
+
+		expect(clone.myProp2).not.toBe(testData.myProp2);
+		expect(clone.myProp3).not.toBe(testData.myProp3);
+		expect(clone.myProp3.myProp5).not.toBe(testData.myProp3.myProp5);
+	});
+
+	it('should extend an object', function() {
+		var original = {
+			myProp1: 'abc',
+			myProp2: 56
+		};
+
+		var extension = {
+			myProp3: [2, 5, 6],
+			myProp2: 0
+		};
+
+		helpers.extend(original, extension);
+
+		expect(original).toEqual({
+			myProp1: 'abc',
+			myProp2: 0,
+			myProp3: [2, 5, 6],
+		});
+	});
+
+	it('Should merge a normal config without scales', function() {
+		var baseConfig = {
+			valueProp: 5,
+			arrayProp: [1, 2, 3, 4, 5, 6],
+			objectProp: {
+				prop1: 'abc',
+				prop2: 56
+			}
+		};
+
+		var toMerge = {
+			valueProp2: null,
+			arrayProp: ['a', 'c'],
+			objectProp: {
+				prop1: 'c',
+				prop3: 'prop3'
+			}
+		};
+
+		var merged = helpers.configMerge(baseConfig, toMerge);
+		expect(merged).toEqual({
+			valueProp: 5,
+			valueProp2: null,
+			arrayProp: ['a', 'c', 3, 4, 5, 6],
+			objectProp: {
+				prop1: 'c',
+				prop2: 56,
+				prop3: 'prop3'
+			}
+		});
+	});
+
+	it('should merge arrays containing objects', function() {
+		var baseConfig = {
+			arrayProp: [{
+				prop1: 'abc',
+				prop2: 56
+			}],
+		};
+
+		var toMerge = {
+			arrayProp: [{
+				prop1: 'myProp1',
+				prop3: 'prop3'
+			}, 2, {
+				prop1: 'myProp1'
+			}],
+		};
+
+		var merged = helpers.configMerge(baseConfig, toMerge);
+		expect(merged).toEqual({
+			arrayProp: [{
+					prop1: 'myProp1',
+					prop2: 56,
+					prop3: 'prop3'
+				},
+				2, {
+					prop1: 'myProp1'
+				}
+			],
+		});
+	});
+
+	it('Should merge scale configs', function() {
+		var baseConfig = {
+			scales: {
+				prop1: {
+					abc: 123,
+					def: '456'
+				},
+				prop2: 777,
+				yAxes: [{
+					type: 'linear',
+				}, {
+					type: 'log'
+				}]
+			}
+		};
+
+		var toMerge = {
+			scales: {
+				prop1: {
+					def: 'bbb',
+					ghi: 78
+				},
+				prop2: null,
+				yAxes: [{
+					type: 'linear',
+					axisProp: 456
+				}, {
+					// pulls in linear default config since axis type changes
+					type: 'linear',
+					position: 'right'
+				}, {
+					// Pulls in linear default config since axis not in base
+					type: 'linear'
+				}]
+			}
+		};
+
+		var merged = helpers.configMerge(baseConfig, toMerge);
+		expect(merged).toEqual({
+			scales: {
+				prop1: {
+					abc: 123,
+					def: 'bbb',
+					ghi: 78
+				},
+				prop2: null,
+				yAxes: [{
+					type: 'linear',
+					axisProp: 456
+				}, {
+					display: true,
+
+					gridLines: {
+						color: "rgba(0, 0, 0, 0.1)",
+						drawOnChartArea: true,
+						drawTicks: true, // draw ticks extending towards the label
+						lineWidth: 1,
+						offsetGridLines: false,
+						display: true,
+						zeroLineColor: "rgba(0,0,0,0.25)",
+						zeroLineWidth: 1,
+					},
+					position: "right",
+					scaleLabel: {
+						fontColor: '#666',
+						fontFamily: 'Helvetica Neue',
+						fontSize: 12,
+						fontStyle: 'normal',
+						labelString: '',
+						display: false,
+					},
+					ticks: {
+						beginAtZero: false,
+						fontColor: "#666",
+						fontFamily: "Helvetica Neue",
+						fontSize: 12,
+						fontStyle: "normal",
+						maxRotation: 90,
+						mirror: false,
+						padding: 10,
+						reverse: false,
+						display: true,
+						callback: merged.scales.yAxes[1].ticks.callback, // make it nicer, then check explicitly below
+						autoSkip: true,
+						autoSkipPadding: 20
+					},
+					type: 'linear'
+				}, {
+					display: true,
+
+					gridLines: {
+						color: "rgba(0, 0, 0, 0.1)",
+						drawOnChartArea: true,
+						drawTicks: true, // draw ticks extending towards the label
+						lineWidth: 1,
+						offsetGridLines: false,
+						display: true,
+						zeroLineColor: "rgba(0,0,0,0.25)",
+						zeroLineWidth: 1,
+					},
+					position: "left",
+					scaleLabel: {
+						fontColor: '#666',
+						fontFamily: 'Helvetica Neue',
+						fontSize: 12,
+						fontStyle: 'normal',
+						labelString: '',
+						display: false,
+					},
+					ticks: {
+						beginAtZero: false,
+						fontColor: "#666",
+						fontFamily: "Helvetica Neue",
+						fontSize: 12,
+						fontStyle: "normal",
+						maxRotation: 90,
+						mirror: false,
+						padding: 10,
+						reverse: false,
+						display: true,
+						callback: merged.scales.yAxes[2].ticks.callback, // make it nicer, then check explicitly below
+						autoSkip: true,
+						autoSkipPadding: 20
+					},
+					type: 'linear'
+				}]
+			}
+		});
+
+		// Are these actually functions
+		expect(merged.scales.yAxes[1].ticks.callback).toEqual(jasmine.any(Function));
+		expect(merged.scales.yAxes[2].ticks.callback).toEqual(jasmine.any(Function));
+	});
+
+	it('should get value or default', function() {
+		expect(helpers.getValueAtIndexOrDefault(98, 0, 56)).toBe(98);
+		expect(helpers.getValueAtIndexOrDefault(0, 0, 56)).toBe(0);
+		expect(helpers.getValueAtIndexOrDefault(undefined, undefined, 56)).toBe(56);
+		expect(helpers.getValueAtIndexOrDefault([1, 2, 3], 1, 100)).toBe(2);
+		expect(helpers.getValueAtIndexOrDefault([1, 2, 3], 3, 100)).toBe(100);
+	});
+
+	it('should filter an array', function() {
+		var data = [-10, 0, 6, 0, 7];
+		var callback = function(item) {
+			return item > 2
+		};
+		expect(helpers.where(data, callback)).toEqual([6, 7]);
+		expect(helpers.findNextWhere(data, callback)).toEqual(6);
+		expect(helpers.findNextWhere(data, callback, 2)).toBe(7);
+		expect(helpers.findNextWhere(data, callback, 4)).toBe(undefined);
+		expect(helpers.findPreviousWhere(data, callback)).toBe(7);
+		expect(helpers.findPreviousWhere(data, callback, 3)).toBe(6);
+		expect(helpers.findPreviousWhere(data, callback, 0)).toBe(undefined);
+	});
+
+	it('Should get the correct sign', function() {
+		expect(helpers.sign(0)).toBe(0);
+		expect(helpers.sign(10)).toBe(1);
+		expect(helpers.sign(-5)).toBe(-1);
+	});
+
+	it('should do a log10 operation', function() {
+		expect(helpers.log10(0)).toBe(-Infinity);
+		expect(helpers.log10(1)).toBe(0);
+		expect(helpers.log10(1000)).toBeCloseTo(3, 1e-9);
+	});
+
+	it('Should generate ids', function() {
+		expect(helpers.uid()).toBe('chart-0');
+		expect(helpers.uid()).toBe('chart-1');
+		expect(helpers.uid()).toBe('chart-2');
+		expect(helpers.uid()).toBe('chart-3');
+	});
+
+	it('should detect a number', function() {
+		expect(helpers.isNumber(123)).toBe(true);
+		expect(helpers.isNumber('123')).toBe(true);
+		expect(helpers.isNumber(null)).toBe(false);
+		expect(helpers.isNumber(NaN)).toBe(false);
+		expect(helpers.isNumber(undefined)).toBe(false);
+		expect(helpers.isNumber('cbc')).toBe(false);
+	});
+
+	it('should convert between radians and degrees', function() {
+		expect(helpers.toRadians(180)).toBe(Math.PI);
+		expect(helpers.toRadians(90)).toBe(0.5 * Math.PI);
+		expect(helpers.toDegrees(Math.PI)).toBe(180);
+		expect(helpers.toDegrees(Math.PI * 3 / 2)).toBe(270);
+	});
+
+	it('should get an angle from a point', function() {
+		var center = {
+			x: 0,
+			y: 0
+		};
+
+		expect(helpers.getAngleFromPoint(center, {
+			x: 0,
+			y: 10
+		})).toEqual({
+			angle: Math.PI / 2,
+			distance: 10,
+		});
+
+		expect(helpers.getAngleFromPoint(center, {
+			x: Math.sqrt(2),
+			y: Math.sqrt(2)
+		})).toEqual({
+			angle: Math.PI / 4,
+			distance: 2
+		});
+
+		expect(helpers.getAngleFromPoint(center, {
+			x: -1.0 * Math.sqrt(2),
+			y: -1.0 * Math.sqrt(2)
+		})).toEqual({
+			angle: Math.PI * 1.25,
+			distance: 2
+		});
+	});
+
+	it('should spline curves', function() {
+		expect(helpers.splineCurve({
+			x: 0,
+			y: 0
+		}, {
+			x: 1,
+			y: 1
+		}, {
+			x: 2,
+			y: 0
+		}, 0)).toEqual({
+			previous: {
+				x: 1,
+				y: 1,
+			},
+			next: {
+				x: 1,
+				y: 1,
+			}
+		});
+
+		expect(helpers.splineCurve({
+			x: 0,
+			y: 0
+		}, {
+			x: 1,
+			y: 1
+		}, {
+			x: 2,
+			y: 0
+		}, 1)).toEqual({
+			previous: {
+				x: 0,
+				y: 1,
+			},
+			next: {
+				x: 2,
+				y: 1,
+			}
+		});
+	});
+
+	it('should get the next or previous item in an array', function() {
+		var testData = [0, 1, 2];
+
+		expect(helpers.nextItem(testData, 0, false)).toEqual(1);
+		expect(helpers.nextItem(testData, 2, false)).toEqual(2);
+		expect(helpers.nextItem(testData, 2, true)).toEqual(0);
+		expect(helpers.nextItem(testData, 1, true)).toEqual(2);
+		expect(helpers.nextItem(testData, -1, false)).toEqual(0);
+
+		expect(helpers.previousItem(testData, 0, false)).toEqual(0);
+		expect(helpers.previousItem(testData, 0, true)).toEqual(2);
+		expect(helpers.previousItem(testData, 2, false)).toEqual(1);
+		expect(helpers.previousItem(testData, 1, true)).toEqual(0);
+	});
+
+	it('should clear a canvas', function() {
+		var context = window.createMockContext();
+		helpers.clear({
+			width: 100,
+			height: 150,
+			ctx: context
+		});
+
+		expect(context.getCalls()).toEqual([{
+			name: 'clearRect',
+			args: [0, 0, 100, 150]
+		}]);
+	});
+
+	it('should draw a rounded rectangle', function() {
+		var context = window.createMockContext();
+		helpers.drawRoundedRectangle(context, 10, 20, 30, 40, 5);
+
+		expect(context.getCalls()).toEqual([{
+			name: 'beginPath',
+			args: []
+		}, {
+			name: 'moveTo',
+			args: [15, 20]
+		}, {
+			name: 'lineTo',
+			args: [35, 20]
+		}, {
+			name: 'quadraticCurveTo',
+			args: [40, 20, 40, 25]
+		}, {
+			name: 'lineTo',
+			args: [40, 55]
+		}, {
+			name: 'quadraticCurveTo',
+			args: [40, 60, 35, 60]
+		}, {
+			name: 'lineTo',
+			args: [15, 60]
+		}, {
+			name: 'quadraticCurveTo',
+			args: [10, 60, 10, 55]
+		}, {
+			name: 'lineTo',
+			args: [10, 25]
+		}, {
+			name: 'quadraticCurveTo',
+			args: [10, 20, 15, 20]
+		}, {
+			name: 'closePath',
+			args: []
+		}])
+	});
+});

test/core.layoutService.tests.js

@@ -0,0 +1,360 @@
+// Tests of the scale service
+describe('Test the layout service', function() {
+	it('should fit a simple chart with 2 scales', function() {
+		var chartInstance = {
+			boxes: [],
+		};
+
+		var xScaleID = 'xScale';
+		var yScaleID = 'yScale';
+		var mockData = {
+			datasets: [{
+				yAxisID: yScaleID,
+				data: [10, 5, 0, 25, 78, -10]
+			}],
+			labels: ['tick1', 'tick2', 'tick3', 'tick4', 'tick5']
+		};
+		var mockContext = window.createMockContext();
+
+		var xScaleConfig = Chart.helpers.clone(Chart.scaleService.getScaleDefaults('category'));
+		var XConstructor = Chart.scaleService.getScaleConstructor('category');
+		var xScale = new XConstructor({
+			ctx: mockContext,
+			options: xScaleConfig,
+			chart: {
+				data: mockData
+			},
+			id: xScaleID
+		});
+
+		var yScaleConfig = Chart.helpers.clone(Chart.scaleService.getScaleDefaults('linear'));
+		var YConstructor = Chart.scaleService.getScaleConstructor('linear');
+		var yScale = new YConstructor({
+			ctx: mockContext,
+			options: yScaleConfig,
+			chart: {
+				data: mockData
+			},
+			id: yScaleID
+		});
+
+		chartInstance.boxes.push(xScale);
+		chartInstance.boxes.push(yScale);
+
+		var canvasWidth = 250;
+		var canvasHeight = 150;
+		Chart.layoutService.update(chartInstance, canvasWidth, canvasHeight);
+
+		expect(chartInstance.chartArea).toEqual({
+			left: 55,
+			right: 245,
+			top: 5,
+			bottom: 75.0664716027288,
+		});
+
+		// Is xScale at the right spot
+		expect(xScale.left).toBe(55);
+		expect(xScale.right).toBe(245);
+		expect(xScale.top).toBe(75.0664716027288);
+		expect(xScale.bottom).toBe(145);
+		expect(xScale.labelRotation).toBe(57);
+
+		// Is yScale at the right spot
+		expect(yScale.left).toBe(5);
+		expect(yScale.right).toBe(55);
+		expect(yScale.top).toBe(5);
+		expect(yScale.bottom).toBe(75.0664716027288);
+	});
+
+	it('should fit scales that are in the top and right positions', function() {
+		var chartInstance = {
+			boxes: [],
+		};
+
+		var xScaleID = 'xScale';
+		var yScaleID = 'yScale';
+		var mockData = {
+			datasets: [{
+				yAxisID: yScaleID,
+				data: [10, 5, 0, 25, 78, -10]
+			}],
+			labels: ['tick1', 'tick2', 'tick3', 'tick4', 'tick5']
+		};
+		var mockContext = window.createMockContext();
+
+		var xScaleConfig = Chart.helpers.clone(Chart.scaleService.getScaleDefaults('category'));
+		xScaleConfig.position = 'top';
+		var XConstructor = Chart.scaleService.getScaleConstructor('category');
+		var xScale = new XConstructor({
+			ctx: mockContext,
+			options: xScaleConfig,
+			chart: {
+				data: mockData
+			},
+			id: xScaleID
+		});
+
+		var yScaleConfig = Chart.helpers.clone(Chart.scaleService.getScaleDefaults('linear'));
+		yScaleConfig.position = 'right';
+		var YConstructor = Chart.scaleService.getScaleConstructor('linear');
+		var yScale = new YConstructor({
+			ctx: mockContext,
+			options: yScaleConfig,
+			chart: {
+				data: mockData
+			},
+			id: yScaleID
+		});
+
+		chartInstance.boxes.push(xScale);
+		chartInstance.boxes.push(yScale);
+
+		var canvasWidth = 250;
+		var canvasHeight = 150;
+		Chart.layoutService.update(chartInstance, canvasWidth, canvasHeight);
+
+		expect(chartInstance.chartArea).toEqual({
+			left: 5,
+			right: 195,
+			top: 74.9335283972712,
+			bottom: 145,
+		});
+
+		// Is xScale at the right spot
+		expect(xScale.left).toBe(5);
+		expect(xScale.right).toBe(195);
+		expect(xScale.top).toBe(5);
+		expect(xScale.bottom).toBe(74.9335283972712);
+		expect(xScale.labelRotation).toBe(57);
+
+		// Is yScale at the right spot
+		expect(yScale.left).toBe(195);
+		expect(yScale.right).toBe(245);
+		expect(yScale.top).toBe(74.9335283972712);
+		expect(yScale.bottom).toBe(145);
+	});
+
+	it('should fit multiple axes in the same position', function() {
+		var chartInstance = {
+			boxes: [],
+		};
+
+		var xScaleID = 'xScale';
+		var yScaleID1 = 'yScale1';
+		var yScaleID2 = 'yScale2';
+		var mockData = {
+			datasets: [{
+				yAxisID: yScaleID1,
+				data: [10, 5, 0, 25, 78, -10]
+			}, {
+				yAxisID: yScaleID2,
+				data: [-19, -20, 0, -99, -50, 0]
+			}],
+			labels: ['tick1', 'tick2', 'tick3', 'tick4', 'tick5']
+		};
+		var mockContext = window.createMockContext();
+
+		var xScaleConfig = Chart.helpers.clone(Chart.scaleService.getScaleDefaults('category'));
+		var XConstructor = Chart.scaleService.getScaleConstructor('category');
+		var xScale = new XConstructor({
+			ctx: mockContext,
+			options: xScaleConfig,
+			chart: {
+				data: mockData
+			},
+			id: xScaleID
+		});
+
+		var yScaleConfig = Chart.helpers.clone(Chart.scaleService.getScaleDefaults('linear'));
+		var YConstructor = Chart.scaleService.getScaleConstructor('linear');
+		var yScale1 = new YConstructor({
+			ctx: mockContext,
+			options: yScaleConfig,
+			chart: {
+				data: mockData
+			},
+			id: yScaleID1
+		});
+		var yScale2 = new YConstructor({
+			ctx: mockContext,
+			options: yScaleConfig,
+			chart: {
+				data: mockData
+			},
+			id: yScaleID2
+		});
+
+		chartInstance.boxes.push(xScale);
+		chartInstance.boxes.push(yScale1);
+		chartInstance.boxes.push(yScale2);
+
+		var canvasWidth = 250;
+		var canvasHeight = 150;
+		Chart.layoutService.update(chartInstance, canvasWidth, canvasHeight);
+
+		expect(chartInstance.chartArea).toEqual({
+			left: 115,
+			right: 245,
+			top: 5,
+			bottom: 68.48521368620018,
+		});
+
+		// Is xScale at the right spot
+		expect(xScale.left).toBe(115);
+		expect(xScale.right).toBe(245);
+		expect(xScale.top).toBe(68.48521368620018);
+		expect(xScale.bottom).toBe(145);
+
+		// Are yScales at the right spot
+		expect(yScale1.left).toBe(5);
+		expect(yScale1.right).toBe(55);
+		expect(yScale1.top).toBe(5);
+		expect(yScale1.bottom).toBe(68.48521368620018);
+
+		expect(yScale2.left).toBe(55);
+		expect(yScale2.right).toBe(115);
+		expect(yScale2.top).toBe(5);
+		expect(yScale2.bottom).toBe(68.48521368620018);
+	});
+
+	// This is an oddball case. What happens is, when the scales are fit the first time they must fit within the assigned size. In this case,
+	// the labels on the xScale need to rotate to fit. However, when the scales are fit again after the width of the left axis is determined, 
+	// the labels do not need to rotate. Previously, the chart was too small because the chartArea did not expand to take up the space freed up 
+	// due to the lack of label rotation
+	it('should fit scales that overlap the chart area', function() {
+		var chartInstance = {
+			boxes: [],
+		};
+
+		var scaleID = 'scaleID';
+		var mockData = {
+			datasets: [{
+				yAxisID: scaleID,
+				data: [10, 5, 0, 25, 78, -10]
+			}, {
+				yAxisID: scaleID,
+				data: [-19, -20, 0, -99, -50, 0]
+			}],
+			labels: ['tick1', 'tick2', 'tick3', 'tick4', 'tick5']
+		};
+		var mockContext = window.createMockContext();
+
+		var scaleConfig = Chart.helpers.clone(Chart.scaleService.getScaleDefaults('radialLinear'));
+		var ScaleConstructor = Chart.scaleService.getScaleConstructor('radialLinear');
+		var scale = new ScaleConstructor({
+			ctx: mockContext,
+			options: scaleConfig,
+			chart: {
+				data: mockData
+			},
+			id: scaleID
+		});
+
+		chartInstance.boxes.push(scale);
+
+		var canvasWidth = 300;
+		var canvasHeight = 350;
+		Chart.layoutService.update(chartInstance, canvasWidth, canvasHeight);
+
+		expect(chartInstance.chartArea).toEqual({
+			left: 5,
+			right: 295,
+			top: 5,
+			bottom: 345,
+		});
+
+		expect(scale.left).toBe(5);
+		expect(scale.right).toBe(295);
+		expect(scale.top).toBe(5);
+		expect(scale.bottom).toBe(345);
+		expect(scale.width).toBe(290);
+		expect(scale.height).toBe(340)
+	});
+
+	it ('should fix a full width box correctly', function() {
+		var chartInstance = {
+			boxes: [],
+		};
+
+		var xScaleID1= 'xScale1';
+		var xScaleID2 = 'xScale2';
+		var yScaleID = 'yScale2';
+
+		var mockData = {
+			datasets: [{
+				xAxisID: xScaleID1,
+				data: [10, 5, 0, 25, 78, -10]
+			}, {
+				xAxisID: xScaleID2,
+				data: [-19, -20, 0, -99, -50, 0]
+			}],
+			labels: ['tick1', 'tick2', 'tick3', 'tick4', 'tick5']
+		};
+		var mockContext = window.createMockContext();
+
+		var xScaleConfig = Chart.helpers.clone(Chart.scaleService.getScaleDefaults('category'));
+		var XConstructor = Chart.scaleService.getScaleConstructor('category');
+		var xScale1 = new XConstructor({
+			ctx: mockContext,
+			options: xScaleConfig,
+			chart: {
+				data: mockData
+			},
+			id: xScaleID1
+		});
+		var xScale2 = new XConstructor({
+			ctx: mockContext,
+			options: Chart.helpers.extend(Chart.helpers.clone(xScaleConfig), {
+				position: 'top',
+				fullWidth: true
+			}),
+			chart: {
+				data: mockData,
+			},
+			id: xScaleID2
+		});
+
+		var yScaleConfig = Chart.helpers.clone(Chart.scaleService.getScaleDefaults('linear'));
+		var YConstructor = Chart.scaleService.getScaleConstructor('linear');
+		var yScale = new YConstructor({
+			ctx: mockContext,
+			options: yScaleConfig,
+			chart: {
+				data: mockData
+			},
+			id: yScaleID
+		});
+
+		chartInstance.boxes.push(xScale1);
+		chartInstance.boxes.push(xScale2);
+		chartInstance.boxes.push(yScale);
+
+		var canvasWidth = 250;
+		var canvasHeight = 150;
+		Chart.layoutService.update(chartInstance, canvasWidth, canvasHeight);
+
+		expect(chartInstance.chartArea).toEqual({
+			left: 45,
+			right: 245,
+			top: 45,
+			bottom: 105,
+		});
+
+		// Are xScales at the right spot
+		expect(xScale1.left).toBe(45);
+		expect(xScale1.right).toBe(245);
+		expect(xScale1.top).toBe(105);
+		expect(xScale1.bottom).toBe(145);
+
+		expect(xScale2.left).toBe(5);
+		expect(xScale2.right).toBe(245);
+		expect(xScale2.top).toBe(5);
+		expect(xScale2.bottom).toBe(45);
+
+		// Is yScale at the right spot
+		expect(yScale.left).toBe(5);
+		expect(yScale.right).toBe(45);
+		expect(yScale.top).toBe(45);
+		expect(yScale.bottom).toBe(105);
+	});
+});