Doughnut/Pie fixes

Nested configs + major code refactors

.gitignore

@@ -1,2 +1,9 @@
 
 .DS_Store
+
+node_modules/*
+custom/*
+
+docs/index.md
+
+bower_components/

.travis.yml

@@ -0,0 +1,13 @@
+language: node_js
+node_js:
+  - "0.11"
+  - "0.10"
+
+before_script:
+  - npm install
+
+script:
+  - gulp test
+
+notifications:
+  slack: chartjs:pcfCZR6ugg5TEcaLtmIfQYuA

CONTRIBUTING.md

@@ -0,0 +1,55 @@
+Contributing to Chart.js
+========================
+
+Contributions to Chart.js are welcome and encouraged, but please have a look through the guidelines in this document before raising an issue, or writing code for the project.
+
+
+Using issues
+------------
+
+The [issue tracker](https://github.com/nnnick/Chart.js/issues) is the preferred channel for reporting bugs, requesting new features and submitting pull requests.
+
+If you're suggesting a new chart type, please take a look at [writing new chart types](https://github.com/nnnick/Chart.js/blob/master/docs/06-Advanced.md#writing-new-chart-types) in the documentation, and some of the [community extensions](https://github.com/nnnick/Chart.js/blob/master/docs/06-Advanced.md#community-extensions) that have been created already.
+
+To keep the library lightweight for everyone, it's unlikely we'll add many more chart types to the core of Chart.js, but issues are a good medium to design and spec out how new chart types could work and look.
+
+Please do not use issues for support requests. For help using Chart.js, please take a look at the [`chartjs`](http://stackoverflow.com/questions/tagged/chartjs) tag on Stack Overflow.
+
+
+Reporting bugs
+--------------
+
+Well structured, detailed bug reports are hugely valuable for the project.
+
+Guidlines for reporting bugs:
+
+ - Check the issue search to see if it has already been reported
+ - Isolate the problem to a simple test case
+ - Provide a demonstration of the problem on [JS Bin](http://jsbin.com) or similar
+
+Please provide any additional details associated with the bug, if it's browser or screen density specific, or only happens with a certain configuration or data.
+
+
+Pull requests
+-------------
+
+Clear, concise pull requests are excellent at continuing the project's community driven growth. But please review [these guidelines](https://github.com/blog/1943-how-to-write-the-perfect-pull-request) and the guidelines below before starting work on the project.
+
+Guidlines:
+
+ - Please create an issue first:
+   - For bugs, we can discuss the fixing approach
+   - For enhancements, we can discuss if it is within the project scope and avoid duplicate effort
+ - Please make changes to the files in [`/src`](https://github.com/nnnick/Chart.js/tree/master/src), not `Chart.js` or `Chart.min.js` in the repo root directory, this avoids merge conflicts
+ - Tabs for indentation, not spaces please
+ - If adding new functionality, please also update the relevant `.md` file in [`/docs`](https://github.com/nnnick/Chart.js/tree/master/docs)
+ - Please make your commits in logical sections with clear commit messages
+
+Joining the Project
+-------------
+ - Active committers and contributors are invited to introduce yourself and request commit access to this project.  Please send an email to hello@nickdownie.com or file an issue. 
+
+License
+-------
+
+By contributing your code, you agree to license your contribution under the [MIT license](https://github.com/nnnick/Chart.js/blob/master/LICENSE.md).

LICENSE.md

@@ -1,4 +1,4 @@
-Copyright (c) 2013 Nick Downie
+Copyright (c) 2013-2015 Nick Downie
 
 Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
 

README.md

@@ -0,0 +1,21 @@
+# 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)
+
+# Version 2.0 is in early alpha. We are changing the internal data model to reduce copying, increase performance and expose a more flexible API.
+
+*Simple HTML5 Charts using the canvas element* [chartjs.org](http://www.chartjs.org)
+
+## 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.
+
+## Bugs, issues and contributing
+
+Before submitting an issue or a pull request to the project, please take a moment to look over the [contributing guidelines](https://github.com/nnnick/Chart.js/blob/master/CONTRIBUTING.md) first.
+
+For support using Chart.js, please post questions with the [`chartjs` tag on Stack Overflow](http://stackoverflow.com/questions/tagged/chartjs).
+
+## License
+
+Chart.js is available under the [MIT license](http://opensource.org/licenses/MIT).

bower.json

@@ -0,0 +1,13 @@
+{
+    "name": "Chart.js",
+    "version": "2.0.0-alpha",
+    "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"
+    }
+}

component.json

@@ -1,11 +0,0 @@
-{
-  "name": "Chart.js",
-  "version": "0.2.0",
-  "description": "Simple HTML5 Charts using the canvas element",
-  "keywords": ["charts"],
-  "homepage": "https://github.com/nnnick/Chart.js",
-  "author": "nnnick",
-  "main": ["Chart.min.js"],
-  "dependencies": {
-  }
-}

docs/00-Getting-Started.md

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+---
+title: Getting started
+anchor: getting-started
+---
+
+###Include Chart.js
+
+First we need to include the Chart.js library on the page. The library occupies a global variable of `Chart`.
+
+```html
+<script src="Chart.js"></script>
+```
+
+Alternatively, if you're using an AMD loader for JavaScript modules, that is also supported in the Chart.js core. Please note: the library will still occupy a global variable of `Chart`, even if it detects `define` and `define.amd`. If this is a problem, you can call `noConflict` to restore the global Chart variable to it's previous owner.
+
+```javascript
+// Using requirejs
+require(['path/to/Chartjs'], function(Chart){
+	// Use Chart.js as normal here.
+
+	// Chart.noConflict restores the Chart global variable to it's previous owner
+	// The function returns what was previously Chart, allowing you to reassign.
+	var Chartjs = Chart.noConflict();
+
+});
+```
+
+You can also grab Chart.js using bower:
+
+```bash
+bower install Chart.js --save
+```
+
+Also, Chart.js is available from CDN:
+
+https://cdnjs.com/libraries/chart.js
+
+###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.
+
+```html
+<canvas id="myChart" width="400" height="400"></canvas>
+```
+
+```javascript
+// Get the context of the canvas element we want to select
+var ctx = document.getElementById("myChart").getContext("2d");
+var myNewChart = new Chart(ctx).PolarArea(data);
+```
+
+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.
+
+```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);
+```
+
+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.
+
+###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 = {
+    // Animation settings
+    animation: {
+    	// Length that animation should take in ms assuming 60fps. 
+    	// Set to 0 to disable animation
+        duration: 1000,
+
+        // Easing type. Possible values 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]
+        easing: "easeOutQuart",
+
+        // Function - function to call each time an animation step occurs
+        onProgress: function() {},
+
+        // Function - function to call when animations finish
+        onComplete: function() {},
+    },
+
+    // Boolean - if true, resize the charts when the page resizes
+    responsive: false,
+
+    // Boolean - if true, try to maintain the screen aspect ratio
+    maintainAspectRatio: true,
+
+    // Array - events to bind tooltips to
+    events: ["mousemove", "mouseout", "click", "touchstart", "touchmove", "touchend"],
+
+    // Hover settings
+    hover: {
+    	// Function - called when the user hovers over the items.
+    	// Parameters: array of active elements
+        onHover: null,
+
+        // String - hover mode. Options are 'single', 'label', and 'dataset'
+        // 		'single' gets the nearest element
+        //		'label' gets all of the elements at the given dataset index (do not use for scatter charts)
+        //		'dataset' gets all the elements in the given dataset
+        mode: 'single',
+
+        // Number - duration (in ms) of the tooltip animation. 0 to disable
+        animationDuration: 400,
+    },
+
+    // Function - click handler to bind to chart area
+    onClick: null,
+
+    // Tooltip configuration
+    tooltips: {
+    	// Boolean - if true show tooltips
+        enabled: true,
+
+        // Function - custom tooltip function to use
+        custom: null,
+
+        // String - color of tooltip background
+        backgroundColor: "rgba(0,0,0,0.8)",
+
+        // String - fonts to use
+        fontFamily: "'Helvetica Neue', 'Helvetica', 'Arial', sans-serif",
+
+        // Number - font size
+        fontSize: 10,
+
+        // String - font style
+        fontStyle: "normal",
+
+        // String - font color
+        fontColor: "#fff",
+
+        // String - title fonts
+        titleFontFamily: "'Helvetica Neue', 'Helvetica', 'Arial', sans-serif",
+
+        // Number - title font size
+        titleFontSize: 12,
+
+        // String - title font style
+        titleFontStyle: "bold",
+
+        // String - title font color
+        titleFontColor: "#fff",
+
+        // Number - 
+        yPadding: 6,
+
+        // Number - 
+        xPadding: 6,
+
+        // Number - 
+        caretSize: 8,
+
+        // Number - radius of rounded corners
+        cornerRadius: 6,
+
+        // Number - 
+        xOffset: 10,
+
+        // String - template string to use for tooltips in single mode
+        template: [
+            '<% if(label){ %>',
+            '<%=label %>:',
+            '<% } %>',
+            '<%=value %>',
+        ].join(''),
+
+        // String - template string to use for tooltips in label mode
+        multiTemplate: [
+            '<%if (datasetLabel){ %>',
+            '<%=datasetLabel %>:',
+            '<% } %>',
+            '<%=value %>'
+        ].join(''),
+
+        // String -
+        multiKeyBackground: '#fff',
+    },
+
+    // String - default grey color. 'rgba(0,0,0,0.1)'
+    defaultColor: defaultColor, 
+
+    // Element defaults
+    elements: {
+    	// Default settings for all line elements
+        line: {
+        	// Number - Bezier curve tension. Set to 0 for no bezier curves
+            tension: 0.4,
+
+            // String - the fill color
+            backgroundColor: defaultColor,
+
+            // Number - width of the line
+            borderWidth: 3,
+
+            // String = color of the line
+            borderColor: defaultColor,
+            
+            // Boolean - if true fill in the area between the line and the x axis with the background color
+            fill: true,
+
+            // Boolean - 
+            skipNull: true,
+
+            // Boolean - 
+            drawNull: false,
+        },
+        // Settings for all point elements
+        point: {
+        	// Number - radius of point circle
+            radius: 3,
+
+            // String - fill color of point
+            backgroundColor: defaultColor,
+
+            // Number - width of stroke of point circle
+            borderWidth: 1,
+
+            // String - stroke color for point
+            borderColor: defaultColor,
+
+            // Number - extra radius added to radius for hit detection
+            hitRadius: 6,
+
+            // Number - radius of point circle when hovered
+            hoverRadius: 4,
+
+            // Number - radius of circle stroke when hovered
+            hoverBorderWidth: 2,
+        },
+        // Settings for all bar elements
+        bar: {
+        	// String - fill color of bar
+            backgroundColor: defaultColor,
+
+            // Number - width of stroke of line surrounding bar fill
+            borderWidth: 0,
+
+            // String - Border color
+            borderColor: defaultColor,
+
+            // Number - 
+            valueSpacing: 5,
+
+            // Number - 
+            datasetSpacing: 1,
+        },
+        // Settings for all slice elements
+        slice: {
+        	// String - fill color
+            backgroundColor: defaultColor,
+
+            // String - border color
+            borderColor: "#fff",
+
+            // Number - border stroke width
+            borderWidth: 2,
+        },
+    }
+}
+```
+
+If for example, you wanted all charts created to be responsive, and resize when the browser window does, the following setting can be changed:
+
+```javascript
+Chart.defaults.global.responsive = true;
+```
+
+Now, every time we create a chart, `options.responsive` will be `true`.

docs/01-Line-Chart.md

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+---
+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: 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 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
+			pointBorderWidth: 2,
+
+			// 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)",
+			pointBorderWidth: 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.
+
+```javascript
+{
+	// Boolean - if true, line stack on top of each other along the y axis
+	stacked: false,
+
+	hover: {
+		// String - We use a label hover mode since the x axis displays data by the index in the dataset
+		mode: "label"
+	},
+
+	scales: {
+		// The line 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. 
+		xAxes: [{
+			// String - type of axis to use. Should not be changed from 'dataset'. To use a 'linear' axis on the x, use the scatter chart type
+			scaleType: "dataset", // scatter should not use a dataset axis
+
+			// Boolean - if true, show the scale
+			display: true,
+
+			// String - position of the scale. possible options are "top" and "bottom" for dataset scales
+			position: "bottom",
+
+			// String - id of the axis so that data can bind to it
+			id: "x-axis-1", // need an ID so datasets can reference the scale
+
+			// grid line settings
+			gridLines: {
+				// Boolean - if true, show the grid lines
+				show: true,
+
+				// String - color of the grid lines
+				color: "rgba(0, 0, 0, 0.05)",
+
+				// Number - width of the grid lines
+				lineWidth: 1,
+
+				// Boolean - if true draw lines on the chart area
+				drawOnChartArea: true,
+
+				// Boolean - if true draw ticks in the axis area
+				drawTicks: true,
+
+				// Number - width of the grid line for the first index (index 0)
+				zeroLineWidth: 1,
+
+				// String - color of the grid line for the first index
+				zeroLineColor: "rgba(0,0,0,0.25)",
+
+				// Boolean - if true, offset labels from grid lines
+				offsetGridLines: false,
+			},
+
+			// label settings
+			labels: {
+				// Boolean - if true show labels
+				show: true,
+
+				// String - template string for labels
+				template: "<%=value%>",
+
+				// Number - label font size
+				fontSize: 12,
+
+				// String - label font style
+				fontStyle: "normal",
+
+				// String - label font color
+				fontColor: "#666",
+
+				// String - label font family
+				fontFamily: "Helvetica Neue",
+			},
+		}],
+		yAxes: [{
+			// String - type of axis. 'linear' is the default but extensions may provide other types such as logarithmic
+			scaleType: "linear",
+
+			// Boolean - if true, show the scale
+			display: true,
+
+			// String - position of axis. Vertical axes can have either "left" or "right"
+			position: "left",
+
+			// ID of the axis for data binding
+			id: "y-axis-1",
+
+			// grid line settings
+			gridLines: {
+				// Boolean - if true, show the grid lines
+				show: true,
+
+				// String - color of the grid lines
+				color: "rgba(0, 0, 0, 0.05)",
+
+				// Number - width of the grid lines
+				lineWidth: 1,
+
+				// Boolean - if true draw lines on the chart area
+				drawOnChartArea: true,
+
+				// Boolean - if true draw ticks in the axis area
+				drawTicks: true,
+
+				// Number - width of the grid line representing a numerical value of 0
+				zeroLineWidth: 1,
+
+				// String - color of the grid line representing a numerical value of 0
+				zeroLineColor: "rgba(0,0,0,0.25)",
+			},
+
+			// Boolean - if true ensures that the scale always has a 0 point
+			beginAtZero: false,
+
+			// Object - if specified, allows the user to override the step generation algorithm.
+			//			Contains the following values
+			//				start: // number to start at
+			//				stepWidth: // size of step
+			//				steps: // number of steps
+			override: null,
+
+			// label settings
+			labels: {
+				// Boolean - if true show labels
+				show: true,
+
+				// String - template string for labels
+				template: "<%=value%>",
+
+				// Function - if specified this is passed the tick value, index, and the array of all tick values. Returns a string that is used as the label for that value
+				userCallback: null,
+
+				// Number - label font size
+				fontSize: 12,
+
+				// String - label font style
+				fontStyle: "normal",
+
+				// String - label font color
+				fontColor: "#666",
+
+				// String - label font family
+				fontFamily: "Helvetica Neue",
+			},
+		}],
+	}
+};
+```
+
+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).Line({
+	data: data, 
+	options: {
+		xAxes: [{
+			show: 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/02-Bar-Chart.md

@@ -0,0 +1,283 @@
+---
+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: 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.
+
+```javascript
+{
+	// Boolean - if true, bars stack on top of each other
+	stacked: false,
+
+	hover: {
+		// String - We use a label hover mode since the x axis displays data by the index in the dataset
+		mode: "label"
+	},
+
+	scales: {
+		// 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. 
+		xAxes: [{
+			// String - type of axis to use. Should not be changed from 'dataset'.
+			scaleType: "dataset", // scatter should not use a dataset axis
+
+			// Boolean - if true, show the scale
+			display: true,
+
+			// String - position of the scale. possible options are "top" and "bottom" for dataset scales
+			position: "bottom",
+
+			// String - id of the axis so that data can bind to it
+			id: "x-axis-1", // need an ID so datasets can reference the scale
+
+			// grid line settings
+			gridLines: {
+				// Boolean - if true, show the grid lines
+				show: true,
+
+				// String - color of the grid lines
+				color: "rgba(0, 0, 0, 0.05)",
+
+				// Number - width of the grid lines
+				lineWidth: 1,
+
+				// Boolean - if true draw lines on the chart area
+				drawOnChartArea: true,
+
+				// Boolean - if true draw ticks in the axis area
+				drawTicks: true,
+
+				// Number - width of the grid line for the first index (index 0)
+				zeroLineWidth: 1,
+
+				// String - color of the grid line for the first index
+				zeroLineColor: "rgba(0,0,0,0.25)",
+
+				// Boolean - if true, offset labels from grid lines
+				offsetGridLines: false,
+			},
+
+			// label settings
+			labels: {
+				// Boolean - if true show labels
+				show: true,
+
+				// String - template string for labels
+				template: "<%=value%>",
+
+				// Number - label font size
+				fontSize: 12,
+
+				// String - label font style
+				fontStyle: "normal",
+
+				// String - label font color
+				fontColor: "#666",
+
+				// String - label font family
+				fontFamily: "Helvetica Neue",
+			},
+		}],
+		yAxes: [{
+			// String - type of axis. 'linear' is the default but extensions may provide other types such as logarithmic
+			scaleType: "linear",
+
+			// Boolean - if true, show the scale
+			display: true,
+
+			// String - position of axis. Vertical axes can have either "left" or "right"
+			position: "left",
+
+			// ID of the axis for data binding
+			id: "y-axis-1",
+
+			// grid line settings
+			gridLines: {
+				// Boolean - if true, show the grid lines
+				show: true,
+
+				// String - color of the grid lines
+				color: "rgba(0, 0, 0, 0.05)",
+
+				// Number - width of the grid lines
+				lineWidth: 1,
+
+				// Boolean - if true draw lines on the chart area
+				drawOnChartArea: true,
+
+				// Boolean - if true draw ticks in the axis area
+				drawTicks: true,
+
+				// Number - width of the grid line representing a numerical value of 0
+				zeroLineWidth: 1,
+
+				// String - color of the grid line representing a numerical value of 0
+				zeroLineColor: "rgba(0,0,0,0.25)",
+			},
+
+			// Boolean - if true ensures that the scale always has a 0 point
+			beginAtZero: false,
+
+			// Object - if specified, allows the user to override the step generation algorithm.
+			//			Contains the following values
+			//				start: // number to start at
+			//				stepWidth: // size of step
+			//				steps: // number of steps
+			override: null,
+
+			// label settings
+			labels: {
+				// Boolean - if true show labels
+				show: true,
+
+				// String - template string for labels
+				template: "<%=value%>",
+
+				// Function - if specified this is passed the tick value, index, and the array of all tick values. Returns a string that is used as the label for that value
+				userCallback: null,
+
+				// Number - label font size
+				fontSize: 12,
+
+				// String - label font style
+				fontStyle: "normal",
+
+				// String - label font color
+				fontColor: "#666",
+
+				// String - label font family
+				fontFamily: "Helvetica Neue",
+			},
+		}],
+	},
+};
+```
+
+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: data, 
+	options: {
+		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/03-Radar-Chart.md

@@ -0,0 +1,177 @@
+---
+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

@@ -0,0 +1,172 @@
+---
+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/05-Pie-Doughnut-Chart.md

@@ -0,0 +1,158 @@
+---
+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/06-Advanced.md

@@ -0,0 +1,187 @@
+---
+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/07-Notes.md

@@ -0,0 +1,42 @@
+---
+title: Notes
+anchor: notes
+---
+
+### Browser support
+Browser support for the canvas element is available in all modern & major mobile browsers <a href="http://caniuse.com/canvas" target="_blank">(caniuse.com/canvas)</a>.
+
+For IE8 & below, I would recommend using the polyfill ExplorerCanvas - available at <a href="https://code.google.com/p/explorercanvas/" target="_blank">https://code.google.com/p/explorercanvas/</a>. It falls back to Internet explorer's format VML when canvas support is not available. Example use:
+
+```html
+<head>
+	<!--[if lte IE 8]>
+		<script src="excanvas.js"></script>
+	<![endif]-->
+</head>
+```
+
+Usually I would recommend feature detection to choose whether or not to load a polyfill, rather than IE conditional comments, however in this case, VML is a Microsoft proprietary format, so it will only work in IE.
+
+Some important points to note in my experience using ExplorerCanvas as a fallback.
+
+- Initialise charts on load rather than DOMContentReady when using the library, as sometimes a race condition will occur, and it will result in an error when trying to get the 2d context of a canvas.
+- New VML DOM elements are being created for each animation frame and there is no hardware acceleration. As a result animation is usually slow and jerky, with flashing text. It is a good idea to dynamically turn off animation based on canvas support. I recommend using the excellent <a href="http://modernizr.com/" target="_blank">Modernizr</a> to do this.
+- When declaring fonts, the library explorercanvas requires the font name to be in single quotes inside the string. For example, instead of your scaleFontFamily property being simply "Arial", explorercanvas support, use "'Arial'" instead. Chart.js does this for default values.
+
+### Bugs & issues
+
+Please report these on the GitHub page - at <a href="https://github.com/nnnick/Chart.js" target="_blank">github.com/nnnick/Chart.js</a>. If you could include a link to a simple <a href="http://jsbin.com/" target="_blank">jsbin</a> or similar to demonstrate the issue, that'd be really helpful.
+
+
+### Contributing
+New contributions to the library are welcome, just a couple of guidelines:
+
+- Tabs for indentation, not spaces please.
+- Please ensure you're changing the individual files in `/src`, not the concatenated output in the `Chart.js` file in the root of the repo.
+- Please check that your code will pass `jshint` code standards, `gulp jshint` will run this for you.
+- Please keep pull requests concise, and document new functionality in the relevant `.md` file.
+- Consider whether your changes are useful for all users, or if creating a Chart.js extension would be more appropriate.
+
+### License
+Chart.js is open source and available under the <a href="http://opensource.org/licenses/MIT" target="_blank">MIT license</a>.

docs/index.html

@@ -1,766 +0,0 @@
-<!doctype html>
-<html>
-	<head>
-		<title>Chart.js Documentation</title>
-		<link href="styles.css" rel="stylesheet">
-		<script src="//ajax.googleapis.com/ajax/libs/jquery/1.9.1/jquery.min.js"></script>
-		<script src="prettify.js"></script>
-		<script src="Chart.js"></script>
-		<script type="text/javascript" src="//use.typekit.net/puc1imu.js"></script>
-		<script type="text/javascript">try{Typekit.load();}catch(e){}</script>
-	</head>
-	<body>
-	<div class="redBorder"></div>
-	<div class="greenBorder"></div>
-	<div class="yellowBorder"></div>
-	<div id="wrapper">
-		<nav>	
-			<dl>
-			</dl>
-		</nav>
-		
-		<div id="contentWrapper">
-			<h1 id="mainHeader">Chart.js Documentation</h1>
-			<h2 id="introText">Everything you need to know to create great looking charts using Chart.js</h2>
-			<article id="gettingStarted">
-				<h1>Getting started</h1>
-				<h2>Include Chart.js</h2>
-				<p>First we need to include the Chart.js library on the page. The library occupies a global variable of <code>Chart</code>.</p>
-				<pre data-type="html"><code>&lt;script src=&quot;Chart.js&quot;&gt;&lt;/script&gt;</code></pre>
-				<h2>Creating a chart</h2>
-				<p>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.</p>
-				<pre data-type="html"><code>&lt;canvas id=&quot;myChart&quot; width=&quot;400&quot; height=&quot;400&quot;&gt;&lt;/canvas&gt;</code></pre>
-				<pre data-type="javascript"><code>//Get the context of the canvas element we want to select
-var ctx = document.getElementById("myChart").getContext("2d");
-var myNewChart = new Chart(ctx).PolarArea(data);</code></pre>
-				<p>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 <code>getContext("2d")</code> method on that.</p>
-				<pre data-type="javascript"><code>//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);</code></pre>
-				<p>After we've instantiated the Chart class on the canvas we want to draw on, Chart.js will handle the scaling for retina displays.</p>
-				<p>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.</p>
-				<pre data-type="javascript"><code>new Chart(ctx).PolarArea(data,options);</code></pre>
-				<p>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 options you pass in with the default options for that chart type.</p>
-			</article>	
-			
-<article id="lineChart">
-				<h1>Line chart</h1>
-				<h2>Introduction</h2>
-				<p>A line chart is a way of plotting data points on a line.</p>
-				<p>Often, it is used to show trend data, and the comparison of two data sets.</p>
-				<h2>Example usage</h2>
-				<canvas id="line" data-type="Line" width="600" height="400"></canvas>
-				<pre data-type="javascript"><code>new Chart(ctx).Line(data,options);</code></pre>
-				<h2>Data structure</h2>	
-				<pre data-type="javascript"><code data-for="line">var data = {
-	labels : ["January","February","March","April","May","June","July"],
-	datasets : [
-		{
-			fillColor : "rgba(220,220,220,0.5)",
-			strokeColor : "rgba(220,220,220,1)",
-			pointColor : "rgba(220,220,220,1)",
-			pointStrokeColor : "#fff",
-			data : [65,59,90,81,56,55,40]
-		},
-		{
-			fillColor : "rgba(151,187,205,0.5)",
-			strokeColor : "rgba(151,187,205,1)",
-			pointColor : "rgba(151,187,205,1)",
-			pointStrokeColor : "#fff",
-			data : [28,48,40,19,96,27,100]
-		}
-	]
-}</code></pre>
-				<p>The line chart requires an array of labels for each of the data points. This is show on the X axis.</p>
-				<p>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.</p>
-				
-				<h2>Chart options</h2>
-				<pre data-type="javascript"><code>Line.defaults = {
-				
-	//Boolean - If we show the scale above the chart data			
-	scaleOverlay : false,
-	
-	//Boolean - If we want to override with a hard coded scale
-	scaleOverride : false,
-	
-	//** 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,
-
-	//String - Colour of the scale line	
-	scaleLineColor : "rgba(0,0,0,.1)",
-	
-	//Number - Pixel width of the scale line	
-	scaleLineWidth : 1,
-
-	//Boolean - Whether to show labels on the scale	
-	scaleShowLabels : true,
-	
-	//Interpolated JS string - can access value
-	scaleLabel : "<%=value%>",
-	
-	//String - Scale label font declaration for the scale label
-	scaleFontFamily : "'Arial'",
-	
-	//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 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 the line is curved between points
-	bezierCurve : true,
-	
-	//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,
-	
-	//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,
-	
-	//Boolean - Whether to animate the chart
-	animation : true,
-
-	//Number - Number of animation steps
-	animationSteps : 60,
-	
-	//String - Animation easing effect
-	animationEasing : "easeOutQuart",
-
-	//Function - Fires when the animation is complete
-	onAnimationComplete : null
-	
-}</code></pre>
-			</article>	
-			
-<article id="barChart">
-				<h1>Bar chart</h1>
-				<h2>Introduction</h2>
-				<p>A bar chart is a way of showing data as bars.</p>
-				<p>It is sometimes used to show trend data, and the comparison of multiple data sets side by side.</p>
-				<h2>Example usage</h2>
-				<canvas id="bar" data-type="Bar" width="600" height="400"></canvas>
-				<pre data-type="javascript"><code>new Chart(ctx).Bar(data,options);</code></pre>
-				<h2>Data structure</h2>	
-				<pre data-type="javascript"><code data-for="bar">var data = {
-	labels : ["January","February","March","April","May","June","July"],
-	datasets : [
-		{
-			fillColor : "rgba(220,220,220,0.5)",
-			strokeColor : "rgba(220,220,220,1)",
-			data : [65,59,90,81,56,55,40]
-		},
-		{
-			fillColor : "rgba(151,187,205,0.5)",
-			strokeColor : "rgba(151,187,205,1)",
-			data : [28,48,40,19,96,27,100]
-		}
-	]
-}</code></pre>
-				<p>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.</p>
-				<p>We have an array of labels too for display. In the example, we are showing the same data as the previous line chart example.</p>
-				
-				<h2>Chart options</h2>
-				<pre data-type="javascript"><code>Bar.defaults = {
-				
-	//Boolean - If we show the scale above the chart data			
-	scaleOverlay : false,
-	
-	//Boolean - If we want to override with a hard coded scale
-	scaleOverride : false,
-	
-	//** 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,
-
-	//String - Colour of the scale line	
-	scaleLineColor : "rgba(0,0,0,.1)",
-	
-	//Number - Pixel width of the scale line	
-	scaleLineWidth : 1,
-
-	//Boolean - Whether to show labels on the scale	
-	scaleShowLabels : true,
-	
-	//Interpolated JS string - can access value
-	scaleLabel : "<%=value%>",
-	
-	//String - Scale label font declaration for the scale label
-	scaleFontFamily : "'Arial'",
-	
-	//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 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 - 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,
-	
-	//Boolean - Whether to animate the chart
-	animation : true,
-
-	//Number - Number of animation steps
-	animationSteps : 60,
-	
-	//String - Animation easing effect
-	animationEasing : "easeOutQuart",
-
-	//Function - Fires when the animation is complete
-	onAnimationComplete : null
-	
-}</code></pre>
-			</article>						
-			
-			<article id="radarChart">
-				<h1>Radar chart</h1>
-				<h2>Introduction</h2>
-				<p>A radar chart is a way of showing multiple data points and the variation between them.</p>
-				<p>They are often useful for comparing the points of two or more different data sets</p>
-				<h2>Example usage</h2>
-				<canvas id="radar" data-type="Radar" width="400" height="400"></canvas>
-				<pre data-type="javascript"><code>new Chart(ctx).Radar(data,options);</code></pre>
-				<h2>Data structure</h2>	
-				<pre data-type="javascript"><code data-for="radar">var data = {
-	labels : ["Eating","Drinking","Sleeping","Designing","Coding","Partying","Running"],
-	datasets : [
-		{
-			fillColor : "rgba(220,220,220,0.5)",
-			strokeColor : "rgba(220,220,220,1)",
-			pointColor : "rgba(220,220,220,1)",
-			pointStrokeColor : "#fff",
-			data : [65,59,90,81,56,55,40]
-		},
-		{
-			fillColor : "rgba(151,187,205,0.5)",
-			strokeColor : "rgba(151,187,205,1)",
-			pointColor : "rgba(151,187,205,1)",
-			pointStrokeColor : "#fff",
-			data : [28,48,40,19,96,27,100]
-		}
-	]
-}</code></pre>
-				<p>For a radar chart, usually you will want to show a label on each point of the chart, so we include an array of strings that we show around each point in the chart. If you do not want this, you can either not include the array of labels, or choose to hide them in the chart options.</p>
-				<p>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.</p>
-				
-				<h2>Chart options</h2>
-				<pre data-type="javascript"><code>Radar.defaults = {
-				
-	//Boolean - If we show the scale above the chart data			
-	scaleOverlay : false,
-	
-	//Boolean - If we want to override with a hard coded scale
-	scaleOverride : false,
-	
-	//** 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 centre starting value
-	scaleStartValue : null,
-	
-	//Boolean - Whether to show lines for each scale point
-	scaleShowLine : true,
-
-	//String - Colour of the scale line	
-	scaleLineColor : "rgba(0,0,0,.1)",
-	
-	//Number - Pixel width of the scale line	
-	scaleLineWidth : 1,
-
-	//Boolean - Whether to show labels on the scale	
-	scaleShowLabels : false,
-	
-	//Interpolated JS string - can access value
-	scaleLabel : "<%=value%>",
-	
-	//String - Scale label font declaration for the scale label
-	scaleFontFamily : "'Arial'",
-	
-	//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 - Show a backdrop to the scale label
-	scaleShowLabelBackdrop : true,
-	
-	//String - The colour of the label backdrop	
-	scaleBackdropColor : "rgba(255,255,255,0.75)",
-	
-	//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 - Whether we show the angle lines out of the radar
-	angleShowLineOut : 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 : 12,
-	
-	//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,
-	
-	//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,
-	
-	//Boolean - Whether to animate the chart
-	animation : true,
-
-	//Number - Number of animation steps
-	animationSteps : 60,
-	
-	//String - Animation easing effect
-	animationEasing : "easeOutQuart",
-
-	//Function - Fires when the animation is complete
-	onAnimationComplete : null
-	
-}</code></pre>
-			</article>			
-			
-			<article id="polarAreaChart">
-				<h1>Polar area chart</h1>
-				<h2>Introduction</h2>
-				<p>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.</p>
-				<p>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.</p>
-				<h2>Example usage</h2>
-				<canvas id="polarArea" data-type="PolarArea" width="300" height="300"></canvas>
-				<pre data-type="javascript"><code>new Chart(ctx).PolarArea(data,options);</code></pre>
-				<h2>Data structure</h2>
-				<pre data-type="javascript"><code data-for="polarArea">var data = [
-	{
-		value : 30,
-		color: "#D97041"
-	},
-	{
-		value : 90,
-		color: "#C7604C"
-	},
-	{
-		value : 24,
-		color: "#21323D"
-	},
-	{
-		value : 58,
-		color: "#9D9B7F"
-	},
-	{
-		value : 82,
-		color: "#7D4F6D"
-	},
-	{
-		value : 8,
-		color: "#584A5E"
-	}
-]</code></pre>
-				<p>As you can see, for the chart data you pass in an array of objects, with a value and a colour. The <code>value</code> attribute should be a number, while the <code>color</code> attribute should be a string. Similar to CSS, for this string you can use HEX notation, RGB, RGBA or HSL.</p>
-				<h2>Chart options</h2>
-				<p>These are the default chart options. By passing in an object with any of these attributes, Chart.js will merge these objects and the graph accordingly. Explanations of each option are commented in the code below.</p>
-				<pre data-type="javascript"><code>PolarArea.defaults = {
-				
-	//Boolean - Whether we show the scale above or below the chart segments
-	scaleOverlay : true,
-	
-	//Boolean - If we want to override with a hard coded scale
-	scaleOverride : false,
-	
-	//** 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 centre starting value
-	scaleStartValue : null,
-	
-	//Boolean - Show line for each value in the scale
-	scaleShowLine : true,
-	
-	//String - The colour of the scale line
-	scaleLineColor : "rgba(0,0,0,.1)",
-	
-	//Number - The width of the line - in pixels
-	scaleLineWidth : 1,
-	
-	//Boolean - whether we should show text labels
-	scaleShowLabels : true,
-	
-	//Interpolated JS string - can access value
-	scaleLabel : "<%=value%>",
-	
-	//String - Scale label font declaration for the scale label
-	scaleFontFamily : "'Arial'",
-	
-	//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 - Show a backdrop to the scale label
-	scaleShowLabelBackdrop : true,
-	
-	//String - The colour of the label backdrop	
-	scaleBackdropColor : "rgba(255,255,255,0.75)",
-	
-	//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 - Stroke a line around each segment in the chart
-	segmentShowStroke : true,
-	
-	//String - The colour of the stroke on each segement.
-	segmentStrokeColor : "#fff",
-	
-	//Number - The width of the stroke value in pixels	
-	segmentStrokeWidth : 2,
-	
-	//Boolean - Whether to animate the chart or not
-	animation : true,
-	
-	//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,
-
-	//Function - This will fire when the animation of the chart is complete.
-	onAnimationComplete : null
-}</code></pre>
-			</article>
-			<article id="pieChart">
-				<h1>Pie chart</h1>
-				<h2>Introduction</h2>
-				<p>Pie charts are probably the most commonly used chart there are. They are divided into segments, the arc of each segment shows a the proportional value of each piece of data.</p>
-				<p>They are excellent at showing the relational proportions between data.</p>
-				<h2>Example usage</h2>
-				<canvas id="pie" data-type="Pie" width="400" height="400"></canvas>
-				<pre data-type="javascript"><code>new Chart(ctx).Pie(data,options);</code></pre>
-				<h2>Data structure</h2>
-				<pre data-type="javascript"><code data-for="pie">var data = [
-	{
-		value: 30,
-		color:"#F38630"
-	},
-	{
-		value : 50,
-		color : "#E0E4CC"
-	},
-	{
-		value : 100,
-		color : "#69D2E7"
-	}			
-]</code></pre>
-				<p>For a pie chart, you must pass in an array of objects with a <code>value</code> and a <code>color</code> property. The <code>value</code> attribute should be a number, Chart.js will total all of the numbers and calculate the relative proportion of each. The <code>color</code> attribute should be a string. Similar to CSS, for this string you can use HEX notation, RGB, RGBA or HSL.</p>
-				<h2>Chart options</h2>
-				<p>These are the default options for the Pie chart. Pass in an object with any of these attributes to override them.
-				<pre data-type="javascript"><code>Pie.defaults = {
-	//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,
-	
-	//Boolean - Whether we should animate the chart	
-	animation : true,
-	
-	//Number - Amount of animation steps
-	animationSteps : 100,
-	
-	//String - Animation easing effect
-	animationEasing : "easeOutBounce",
-	
-	//Boolean - Whether we animate the rotation of the Pie
-	animateRotate : true,
-
-	//Boolean - Whether we animate scaling the Pie from the centre
-	animateScale : false,
-	
-	//Function - Will fire on animation completion.
-	onAnimationComplete : null
-}</code></pre>
-			</article>
-			<article id="doughnutChart">
-				<h1>Doughnut chart</h1>
-				<h2>Introduction</h2>
-				<p>Doughnut charts are similar to pie charts, however they have the centre cut out, and are therefore shaped more like a doughnut than a pie!</p>
-				<p>They are aso excellent at showing the relational proportions between data.</p>
-				<h2>Example usage</h2>
-				<canvas id="doughnut" data-type="Doughnut" width="400" height="400"></canvas>
-				<pre data-type="javascript"><code>new Chart(ctx).Doughnut(data,options);</code></pre>
-				<h2>Data structure</h2>
-				<pre data-type="javascript"><code data-for="doughnut">var data = [
-	{
-		value: 30,
-		color:"#F7464A"
-	},
-	{
-		value : 50,
-		color : "#E2EAE9"
-	},
-	{
-		value : 100,
-		color : "#D4CCC5"
-	},
-	{
-		value : 40,
-		color : "#949FB1"
-	},
-	{
-		value : 120,
-		color : "#4D5360"
-	}
-
-]</code></pre>
-				<p>For a doughnut chart, you must pass in an array of objects with a <code>value</code> and a <code>color</code> property. The <code>value</code> attribute should be a number, Chart.js will total all of the numbers and calculate the relative proportion of each. The <code>color</code> attribute should be a string. Similar to CSS, for this string you can use HEX notation, RGB, RGBA or HSL.</p>
-				<h2>Chart options</h2>
-				<p>These are the default options for the doughnut chart. Pass in an object with any of these attributes to override them.
-				<pre data-type="javascript"><code>Doughnut.defaults = {
-	//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,
-	
-	//Boolean - Whether we should animate the chart	
-	animation : true,
-	
-	//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,
-	
-	//Function - Will fire on animation completion.
-	onAnimationComplete : null
-}</code></pre>
-			</article>
-			<article id="generalIssues">
-				<h1>General issues</h1>
-				<h2>Chart interactivity</h2>
-				<p>If you are looking to add interaction as a layer to charts, Chart.js is <strong>not the library for you</strong>. A better option would be using SVG, as this will let you attach event listeners to any of the elements in the chart, as these are all DOM nodes.</p>
-				<p>Chart.js uses the canvas element, which is a single DOM node, similar in characteristics to a static image. This does mean that it has a wider scope for compatibility, and less memory implications than SVG based charting solutions. The canvas element also allows for saving the contents as a base 64 string, allowing saving the chart as an image. </p>
-				<p>In SVG, all of the lines, data points and everything you see is a DOM node. As a result of this, complex charts with a lot of intricacies, or many charts on the page will often see dips in performance when scrolling or generating the chart, especially when there are multiple on the page. SVG also has relatively poor mobile support, with Android not supporting SVG at all before version 3.0, and iOS before 5.0. (<a href="http://caniuse.com/svg-html5" target="_blank">caniuse.com/svg-html5</a>).</p>
-				<h2>Browser support</h2>
-				<p>Browser support for the canvas element is available in all modern & major mobile browsers (<a href="http://caniuse.com/canvas" target="_blank">caniuse.com/canvas</a>).</p>
-				<p>For IE8 & below, I would recommend using the polyfill ExplorerCanvas - available at <a href="https://code.google.com/p/explorercanvas/" target="_blank">https://code.google.com/p/explorercanvas/</a>. It falls back to Internet explorer's format VML when canvas support is not available. Example use:</p>
-				<pre data-type="html"><code>&lt;head&gt;
-	&lt;!--[if lte IE 8]&gt;
-		&lt;script src=&quot;excanvas.js&quot;&gt;&lt;/script&gt;
-	&lt;![endif]--&gt;
-&lt;/head&gt;</code></pre>
-				<p>Usually I would recommend feature detection to choose whether or not to load a polyfill, rather than IE conditional comments, however in this case, VML is a Microsoft proprietary format, so it will only work in IE.</p>
-				<p>Some important points to note in my experience using ExplorerCanvas as a fallback.</p>
-				<ul>
-					<li>Initialise charts on load rather than DOMContentReady when using the library, as sometimes a race condition will occur, and it will result in an error when trying to get the 2d context of a canvas.</li>
-					<li>New VML DOM elements are being created for each animation frame and there is no hardware acceleration. As a result animation is usually slow and jerky, with flashing text. It is a good idea to dynamically turn off animation based on canvas support. I recommend using the excellent <a href="http://modernizr.com/" targer="_blank">Modernizr</a> to do this.</li>
-					<li>When declaring fonts, the library explorercanvas requires the font name to be in single quotes inside the string. For example, instead of your scaleFontFamily property being simply "Arial", explorercanvas support, use "'Arial'" instead. Chart.js does this for default values.</li>
-					
-				</ul>
-				<h2>Bugs &amp; issues</h2>
-				<p>Please report these on the Github page - at <a href="https://github.com/nnnick/Chart.js" target="_blank">github.com/nnnick/Chart.js</a>.</p>
-				<p>New contributions to the library are welcome.</p>
-				<h2>License</h2>
-				<p>Chart.js is open source and available under the <a href="http://opensource.org/licenses/MIT" target="_blank">MIT license</a>.</p>
-			</article>
-		</div>
-	</div>
-	</body>
-	<script>
-	$(document).ready(function(){
-	
-		var $nav = $("nav dl");
-		
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-			var $el = $(this);
-			var $h1 = $el.find("h1");
-			var sectionTitle = $h1.html();
-			var articleId = $el.attr("id");
-			var $dt = $("<dt><a href=\"#"+articleId +"\">"+sectionTitle+"</a></dt>");
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-			});
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-			
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-			var $canvas = $(this);
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-			
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-		prettyPrint();			
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-	});
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-/* Alternate shading for lines */
-@media print {
-  pre .str {
-    color: #060;
-  }
-  pre .kwd {
-    color: #006;
-    font-weight: bold;
-  }
-  pre .com {
-    color: #600;
-    font-style: italic;
-  }
-  pre .typ {
-    color: #404;
-    font-weight: bold;
-  }
-  pre .lit {
-    color: #044;
-  }
-  pre .pun {
-    color: #440;
-  }
-  pre .pln {
-    color: #000;
-  }
-  pre .tag {
-    color: #006;
-    font-weight: bold;
-  }
-  pre .atn {
-    color: #404;
-  }
-  pre .atv {
-    color: #060;
-  }
-}
-* {
-  padding: 0;
-  margin: 0;
-  box-sizing: border-box;
-  -moz-box-sizing: border-box;
-  -webkit-box-sizing: border-box;
-  color: inherit;
-  text-rendering: optimizeLegibility;
-}
-body {
-  color: #282b36;
-  min-width: 768px;
-}
-.redBorder,
-.greenBorder,
-.yellowBorder {
-  border-top: 8px solid #282b36;
-  width: 33.33%;
-  float: left;
-  height: 16px;
-  position: relative;
-  z-index: 50;
-}
-.redBorder {
-  background-color: #f33e6f;
-}
-.greenBorder {
-  background-color: #46bfbd;
-}
-.yellowBorder {
-  background-color: #fdb45c;
-}
-h1 {
-  font-family: "proxima-nova";
-  font-weight: 600;
-  font-size: 32px;
-}
-h2 {
-  font-family: "proxima-nova";
-  font-weight: 600;
-  font-size: 22px;
-  line-height: 40px;
-}
-#mainHeader {
-  font-size: 55px;
-}
-#introText {
-  font-weight: 400;
-  margin-top: 20px;
-  font-size: 26px;
-  line-height: 40px;
-  margin-bottom: 40px;
-}
-#wrapper {
-  margin: 0 auto;
-  position: relative;
-  min-width: 768px;
-}
-#wrapper nav {
-  width: 20%;
-  padding-right: 20px;
-  position: fixed;
-  height: 100%;
-  overflow-y: scroll;
-  top: 0;
-  z-index: 0;
-  padding: 40px 20px;
-  font-family: "proxima-nova";
-  background-color: #ebebeb;
-}
-#wrapper nav dl {
-  color: #767c8d;
-}
-#wrapper nav dl dt {
-  list-style: none;
-  margin-top: 10px;
-  margin-bottom: 5px;
-}
-#wrapper nav dl dt a {
-  display: block;
-  padding: 2px 0;
-  border-bottom: 1px solid rgba(118, 124, 141, 0.2);
-  text-decoration: none;
-}
-#wrapper nav dl dd {
-  margin-bottom: 5px;
-  padding-left: 5px;
-}
-#wrapper nav dl dd:before {
-  content: "- ";
-}
-#wrapper nav dl dd a {
-  text-decoration: none;
-  font-size: 12px;
-  border-bottom: 1px solid transparent;
-}
-#wrapper nav dl a {
-  -webkit-transition: all 200ms ease-in-out;
-  -moz-transition: all 200ms ease-in-out;
-  -o-transition: all 200ms ease-in-out;
-  -ms-transition: all 200ms ease-in-out;
-  transition: all 200ms ease-in-out;
-}
-#wrapper nav dl a:hover {
-  color: #2d91ea;
-  border-bottom-color: #2d91ea;
-}
-#wrapper #contentWrapper {
-  width: 80%;
-  max-width: 1080px;
-  margin-left: 20%;
-  padding: 0px 40px;
-  padding-top: 72px;
-}
-article {
-  border-top: 1px solid #ebebeb;
-  padding: 40px 0;
-}
-article h2 {
-  margin-top: 20px;
-}
-p,
-ul li {
-  font-family: "proxima-nova";
-  line-height: 20px;
-  font-size: 16px;
-  margin-top: 10px;
-  color: #767c8d;
-}
-p a,
-ul li a {
-  text-decoration: none;
-  border-bottom: 1px solid #2d91ea;
-  color: #2d91ea;
-}
-canvas {
-  margin-top: 20px;
-}
-pre {
-  background-color: #292b36;
-  padding: 10px;
-  border-radius: 5px;
-  position: relative;
-  -webkit-font-smoothing: antialiased;
-  margin: 40px 0 20px 0;
-}
-pre code {
-  display: block;
-}
-pre:before {
-  content: attr(data-type);
-  position: absolute;
-  font-size: 12px;
-  top: -30px;
-  left: 0;
-  font-family: "proxima-nova";
-  font-weight: 400;
-  display: inline-block;
-  padding: 2px 5px;
-  border-radius: 5px;
-  background-color: #ebebeb;
-}

docs/styles.less

@@ -1,185 +0,0 @@
-@import "prettify";
-
-@codeBackground : #292B36;
-
-@primaryFont : "proxima-nova";
-
-@textColour : #282B36;
-@secondaryTextColour : #767c8d;
-
-@borderPaleColour : #EBEBEB;
-@pageBorderColour : @textColour;
-
-@red : #F33E6F;
-@green : #46BFBD;
-@yellow : #FDB45C;
-@blue : #2D91EA;
-
-*{
-padding:0;
-margin:0;
-box-sizing:border-box;
--moz-box-sizing:border-box;
--webkit-box-sizing:border-box;
-color:inherit;
-text-rendering: optimizeLegibility;
-}
-
-body{
-	color: @textColour;
-	min-width: 768px;
-}
-
-.redBorder,.greenBorder,.yellowBorder{
-	border-top: 8px solid @pageBorderColour;
-	width: 33.33%;
-	float: left;
-	height: 16px;
-	position: relative;
-	z-index:50;
-}
-.redBorder{
-	background-color: @red;
-}
-.greenBorder{
-	background-color: @green;
-}
-.yellowBorder{
-	background-color: @yellow;
-}
-
-h1{
-	font-family: @primaryFont;
-	font-weight: 600;
-	font-size: 32px;
-}
-h2{
-	font-family: @primaryFont;
-	font-weight: 600;
-	font-size: 22px;
-	line-height: 40px;
-}
-#mainHeader{
-	font-size: 55px;
-}
-#introText{
-	font-weight: 400;
-	margin-top: 20px;
-	font-size: 26px;
-	line-height: 40px;
-	margin-bottom: 40px;
-}
-#wrapper{
-	margin: 0 auto;
-	position: relative;
-	min-width: 768px;
-	nav{
-		width: 20%;
-		padding-right: 20px;
-		position: fixed;
-		height: 100%;
-		overflow-y: scroll;
-		top: 0;
-		z-index: 0;
-		padding: 40px 20px;
-		font-family: @primaryFont;
-		background-color: @borderPaleColour;
-
-		dl{
-			color: @secondaryTextColour;
-			dt{
-				list-style: none;
-				margin-top: 10px;
-				margin-bottom: 5px;
-				a{
-					display: block;
-					padding: 2px 0;
-					border-bottom: 1px solid fade(@secondaryTextColour,20%);
-					text-decoration: none;
-				}
-			}
-			dd{
-				margin-bottom: 5px;
-				padding-left: 5px;
-					&:before{
-						content: "- ";
-						
-					}
-				a{
-					text-decoration:none;
-					font-size: 12px;
-					border-bottom: 1px solid transparent;
-				}
-			}
-			a{
-				-webkit-transition: all 200ms ease-in-out;
-				-moz-transition: all 200ms ease-in-out;
-				-o-transition: all 200ms ease-in-out;
-				-ms-transition: all 200ms ease-in-out;
-				transition: all 200ms ease-in-out;	
-				&:hover{
-					color: @blue;
-					border-bottom-color:@blue;
-				}			
-			}
-			
-		}
-	}
-	#contentWrapper{
-		width: 80%;
-		max-width: 1080px;
-		margin-left: 20%;
-		padding: 0px 40px;
-		padding-top: 72px;
-	}
-}
-article{
-	border-top: 1px solid @borderPaleColour;
-	padding: 40px 0;
-	h2{
-		margin-top: 20px;
-	}
-}
-
-p,ul li{
-	font-family: @primaryFont;
-	line-height: 20px;
-	font-size: 16px;
-	margin-top: 10px;
-	color: @secondaryTextColour;
-	a{
-		text-decoration: none;
-		border-bottom: 1px solid @blue;
-		color: @blue;
-	}
-}
-
-canvas{
-	margin-top: 20px;
-}
-pre{
-	background-color: @codeBackground;
-	padding: 10px;
-	border-radius: 5px;
-	position: relative;
-	-webkit-font-smoothing: antialiased;
-	margin: 40px 0 20px 0;
-	code{
-		display: block;
-	}
-	&:before{
-		content: attr(data-type);
-		position: absolute;
-		font-size: 12px;
-		top: -30px;
-		left: 0;
-		font-family: @primaryFont;
-		font-weight: 400;
-		display: inline-block;
-		padding: 2px 5px;
-		border-radius: 5px;
-		background-color: @borderPaleColour;
-	}
-}
-p{
-}

gulpfile.js

@@ -0,0 +1,138 @@
+var gulp = require('gulp'),
+	concat = require('gulp-concat'),
+	uglify = require('gulp-uglify'),
+	util = require('gulp-util'),
+	jshint = require('gulp-jshint'),
+	size = require('gulp-size'),
+	connect = require('gulp-connect'),
+	replace = require('gulp-replace'),
+	htmlv = require('gulp-html-validator'),
+	inquirer = require('inquirer'),
+	semver = require('semver'),
+	exec = require('child_process').exec,
+	fs = require('fs'),
+	package = require('./package.json'),
+	bower = require('./bower.json');
+
+var srcDir = './src/';
+/*
+ *	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(){
+
+	// Default to all of the chart types, with Chart.Core first
+	var srcFiles = [FileName('Core')],
+		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+'*');
+	}
+	srcFiles.push('./node_modules/color/dist/color.min.js');
+
+	return gulp.src(srcFiles)
+		.pipe(concat('Chart.js'))
+		.pipe(replace('{{ version }}', package.version))
+		.pipe(gulp.dest(outputDir))
+		.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
+ */
+
+gulp.task('bump', function(complete){
+	util.log('Current version:', util.colors.cyan(package.version));
+	var choices = ['major', 'premajor', 'minor', 'preminor', 'patch', 'prepatch', 'prerelease'].map(function(versionType){
+		return versionType + ' (v' + semver.inc(package.version, versionType) + ')';
+	});
+	inquirer.prompt({
+		type: 'list',
+		name: 'version',
+		message: 'What version update would you like?',
+		choices: choices
+	}, function(res){
+		var increment = res.version.split(' ')[0],
+			newVersion = semver.inc(package.version, increment);
+
+		// Set the new versions into the bower/package object
+		package.version = newVersion;
+		bower.version = newVersion;
+
+		// Write these to their own files, then build the output
+		fs.writeFileSync('package.json', JSON.stringify(package, null, 2));
+		fs.writeFileSync('bower.json', JSON.stringify(bower, null, 2));
+
+		complete();
+	});
+});
+
+gulp.task('release', ['build'], function(){
+	exec('git tag -a v' + package.version);
+});
+
+gulp.task('jshint', function(){
+	return gulp.src(srcDir + '*.js')
+		.pipe(jshint())
+		.pipe(jshint.reporter('default'));
+});
+
+gulp.task('valid', function(){
+	return gulp.src('samples/*.html')
+    .pipe(htmlv());
+});
+
+gulp.task('library-size', function(){
+	return gulp.src('Chart.min.js')
+		.pipe(size({
+			gzip: true
+		}));
+});
+
+gulp.task('module-sizes', function(){
+	return gulp.src(srcDir + '*.js')
+	.pipe(uglify({preserveComments:'some'}))
+	.pipe(size({
+		showFiles: true,
+		gzip: true
+	}));
+});
+
+gulp.task('watch', function(){
+	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(){
+	connect.server({
+		port: 8000
+	});
+});
+
+// Convenience task for opening the project straight from the command line
+gulp.task('_open', function(){
+	exec('open http://localhost:8000');
+	exec('subl .');
+});
+
+gulp.task('dev', ['server', 'default']);

package.json

@@ -0,0 +1,31 @@
+{
+    "name": "chart.js",
+    "homepage": "http://www.chartjs.org",
+    "description": "Simple HTML5 charts using the canvas element.",
+    "version": "2.0.0-alpha",
+    "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-replace": "^0.4.0",
+        "gulp-size": "~0.4.0",
+        "gulp-uglify": "~0.2.x",
+        "gulp-util": "~2.2.x",
+        "inquirer": "^0.5.1",
+        "jquery": "^2.1.4",
+        "onecolor": "^2.5.0",
+        "semver": "^3.0.1"
+    },
+    "spm": {
+        "main": "Chart.js"
+    }
+}

readme.md

@@ -1,52 +0,0 @@
-Chart.js
-=======
-*Simple HTML5 Charts using the canvas element* [chartjs.org](http://www.chartjs.org)
-
-Quick FYI
--------
-I'm currently working on a big refactor of the library into a more object oriented structure. 
-
-It'll have an extendable class structure for adding community developed chart types. By opening up components into Chart.js into extendable classes, it'll allow for much easier community driven library extensions rather than tacking on new features as required. The refactor will also feature a generisized version of the interaction layer introduced by Regaddi in his tooltips branch - https://github.com/nnnick/Chart.js/pull/51. On top of this, it'll include utility methods on each chart object, for updating, clearing and redrawing charts etc.
-
-I haven't quite got the bandwidth right now to be juggling both issues/requests in master while redesigning all of the core code in Chart.js. By focusing on the refactor, it'll get done WAY quicker.
-
-Extensibility will absolutely be at the core of the refactor, allowing for the development of complex extension modules, but also keeping a lightweight set of core code.
-
-Hang tight - it'll be worth it. 
-
-PS. If you're interested in reviewing some code or trying out writing extensions, shoot me an email.
-
-###Update - 8th September
-Just a quick update on the refactor. 
-
-Just wanted to let you guys know it's making really good progress, and it'll be well worth the wait.
-
-The new version is being broken up into Chart type modules, with each of the current 6 chart types using documented and extendable classes and helper methods from the Chart.js core. This means the community will be able to build new chart types using existing components, or extend existing types to do something a bit different. 
-
-By splitting the different charts into modules will mean the ability to use AMD if appropriate, but I'll also be writing a simple web interface for concatenating chart types into a minified production ready custom build.
-
-The syntax for creating charts **will not change**, so the upgrade should be a drop in replacement, but give you the ability to have a whole new level of interactivity and animated data updates.
-
-Right now I've wrote 80% of the core, and refactored the Doughnut and Pie charts, and I'm a good way through the Line and Bar charts. I hope to have the new version ready to release with some new docs late September/early October.
-
-I know PR and issues are racking up in the repo, and I'll do my best to sort them ASAP, but I think this update is really important for creating flexibility and extensibility to cater for these new features in an elegant way, rather than introducing scope creep into an architecture that wasn't designed to deliver this extra functionality.
-
-Big thanks for all the support - it's been totally overwhelming.
-
-###Another Quick Update - 16th October
-First of all - my apologies, early October has drifted away from me and we're moving towards late October. This last month has been really unexpectedly busy, and I've had a lot of stuff going on, so I haven't quite managed to find as much time to work on Chart.js as I'd hoped.
-
-In terms of an updated ETA, I'm really aiming for a pre-November release, and I'll be having some late nights and a few days off to try my best to make this happen.
-
-Again, really appreciate the support and cheers for your patience for the new version.
-
-
-Documentation
--------
-You can find documentation at [chartjs.org/docs](http://www.chartjs.org/docs).
-
-License
--------
-Chart.js was taken down on the 19th March. It is now back online for good and IS available under MIT license.
-
-Chart.js is available under the [MIT license] (http://opensource.org/licenses/MIT).

samples/bar-multi-axis.html

@@ -0,0 +1,140 @@
+<!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 = new Chart(ctx).Bar({
+            data: barChartData, 
+            options: {
+                responsive: true,
+                hoverMode: 'label',
+                hoverAnimationDuration: 400,
+                stacked: false,
+                scales: {
+                    yAxes: [{
+                        scaleType: "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",
+                
+                        // grid line settings
+                        gridLines: {
+                            show: true,
+                            color: "rgba(0, 0, 0, 0.05)",
+                            lineWidth: 1,
+                            drawOnChartArea: true,
+                            drawTicks: true,
+                            zeroLineWidth: 1,
+                            zeroLineColor: "rgba(0,0,0,0.25)",
+                        },
+
+                        // scale numbers
+                        beginAtZero: false,
+                        integersOnly: false,
+                        override: null,
+
+                        // label settings
+                        labels: {
+                            show: true,
+                            template: "<%=value%>",
+                            fontSize: 12,
+                            fontStyle: "normal",
+                            fontColor: "#666",
+                            fontFamily: "Helvetica Neue",
+                        }
+                    }, {
+                        scaleType: "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: {
+                            show: true,
+                            color: "rgba(0, 0, 0, 0.05)",
+                            lineWidth: 1,
+                            drawOnChartArea: false, // only want the grid lines for one axis to show up
+                            drawTicks: false,
+                            zeroLineWidth: 1,
+                            zeroLineColor: "rgba(0,0,0,0.25)",
+                        },
+
+                        // scale numbers
+                        beginAtZero: false,
+                        integersOnly: false,
+                        override: null,
+
+                        // label settings
+                        labels: {
+                            show: true,
+                            template: "<%=value%>",
+                            fontSize: 12,
+                            fontStyle: "normal",
+                            fontColor: "#666",
+                            fontFamily: "Helvetica Neue",
+                        }
+                    }],
+                }
+            }
+        });
+    };
+
+    $('#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.html

@@ -1,39 +1,61 @@
 <!doctype html>
 <html>
-	<head>
-		<title>Bar Chart</title>
-		<script src="../Chart.js"></script>
-		<meta name = "viewport" content = "initial-scale = 1, user-scalable = no">
-		<style>
-			canvas{
-			}
-		</style>
-	</head>
-	<body>
-		<canvas id="canvas" height="450" width="600"></canvas>
 
+<head>
+    <title>Bar Chart</title>
+    <script src="../node_modules/jquery/dist/jquery.min.js"></script>
+    <script src="../Chart.js"></script>
+</head>
 
-	<script>
+<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 : [
-				{
-					fillColor : "rgba(220,220,220,0.5)",
-					strokeColor : "rgba(220,220,220,1)",
-					data : [65,59,90,81,56,55,40]
-				},
-				{
-					fillColor : "rgba(151,187,205,0.5)",
-					strokeColor : "rgba(151,187,205,1)",
-					data : [28,48,40,19,96,27,100]
-				}
-			]
-			
-		}
+    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).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>
 
-	var myLine = new Chart(document.getElementById("canvas").getContext("2d")).Bar(barChartData);
-	
-	</script>
-	</body>
 </html>

samples/doughnut.color.html

@@ -0,0 +1,63 @@
+<!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({
+					data: doughnutData, 
+					options: {
+						responsive : true
+					}
+				});
+			};
+
+
+
+	</script>
+	</body>
+</html>

samples/doughnut.html

@@ -1,46 +1,110 @@
 <!doctype html>
 <html>
-	<head>
-		<title>Doughnut Chart</title>
-		<script src="../Chart.js"></script>
-		<meta name = "viewport" content = "initial-scale = 1, user-scalable = no">
-		<style>
-			canvas{
-			}
-		</style>
-	</head>
-	<body>
-		<canvas id="canvas" height="450" width="450"></canvas>
 
+<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" width="500" height="500" />
+    </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);
+    };
 
-		var doughnutData = [
-				{
-					value: 30,
-					color:"#F7464A"
-				},
-				{
-					value : 50,
-					color : "#46BFBD"
-				},
-				{
-					value : 100,
-					color : "#FDB45C"
-				},
-				{
-					value : 40,
-					color : "#949FB1"
-				},
-				{
-					value : 120,
-					color : "#4D5360"
-				}
-			
-			];
+    var config = {
+        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.myDoughnut = new Chart(ctx).Doughnut(config);
+    };
+
+    $('#randomizeData').click(function() {
+        $.each(config.data.datasets, function(i, piece) {
+            $.each(piece.data, function(j, value) {
+                config.data.datasets[i].data[j] = randomScalingFactor();
+            });
+        });
+        window.myDoughnut.update();
+    });
+    </script>
+</body>
 
-	var myDoughnut = new Chart(document.getElementById("canvas").getContext("2d")).Doughnut(doughnutData);
-	
-	</script>
-	</body>
 </html>

samples/line-customTooltips.html

@@ -0,0 +1,132 @@
+<!doctype html>
+<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>
+    #canvas-holder1 {
+        width: 300px;
+        margin: 20px auto;
+    }
+    #canvas-holder2 {
+        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);
+    }
+   	.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>
+
+    Chart.defaults.global.pointHitDetectionRadius = 1;
+    Chart.defaults.global.customTooltips = function(tooltip) {
+
+        var tooltipEl = $('#chartjs-tooltip');
+
+        if (!tooltip) {
+            tooltipEl.css({
+                opacity: 0
+            });
+            return;
+        }
+
+        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);
+
+        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,
+        });
+    };
+    var randomScalingFactor = function() {
+        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()]
+        }]
+    };
+
+    window.onload = function() {
+        var ctx1 = document.getElementById("chart1").getContext("2d");
+        window.myLine = new Chart(ctx1).Line({
+            data: lineChartData, 
+            options: {
+        	   showScale: false,
+        	   pointDot : true,
+                responsive: true
+            }
+        });
+
+        var ctx2 = document.getElementById("chart2").getContext("2d");
+        window.myLine = new Chart(ctx2).Line(lineChartData, {
+            responsive: true
+        });
+    };
+    </script>
+</body>
+
+</html>

samples/line-multi-axis.html

@@ -0,0 +1,140 @@
+<!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%">
+        <div>
+            <canvas id="canvas" height="450" width="600"></canvas>
+        </div>
+    </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 = new Chart(ctx).Line({
+            data: lineChartData, 
+            options: {
+                responsive: true,
+                hoverMode: 'label',
+                stacked: false,
+                scales: {
+                    xAxes: [{
+                        gridLines: {
+                            offsetGridLines: false
+                        }
+                    }],
+                    yAxes: [{
+                        scaleType: "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",
+                
+                        // grid line settings
+                        gridLines: {
+                            show: true,
+                            color: "rgba(0, 0, 0, 0.05)",
+                            lineWidth: 1,
+                            drawOnChartArea: true,
+                            drawTicks: true,
+                            zeroLineWidth: 1,
+                            zeroLineColor: "rgba(0,0,0,0.25)",
+                        },
+
+                        // scale numbers
+                        beginAtZero: false,
+                        integersOnly: false,
+                        override: null,
+
+                        // label settings
+                        labels: {
+                            show: true,
+                            template: "<%=value%>",
+                            fontSize: 12,
+                            fontStyle: "normal",
+                            fontColor: "#666",
+                            fontFamily: "Helvetica Neue",
+                        }
+                    }, {
+                        scaleType: "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: {
+                            show: true,
+                            color: "rgba(0, 0, 0, 0.05)",
+                            lineWidth: 1,
+                            drawOnChartArea: false, // only want the grid lines for one axis to show up
+                            drawTicks: false,
+                            zeroLineWidth: 1,
+                            zeroLineColor: "rgba(0,0,0,0.25)",
+                        },
+
+                        // scale numbers
+                        beginAtZero: false,
+                        integersOnly: false,
+                        override: null,
+
+                        // label settings
+                        labels: {
+                            show: true,
+                            template: "<%=value%>",
+                            fontSize: 12,
+                            fontStyle: "normal",
+                            fontColor: "#666",
+                            fontFamily: "Helvetica Neue",
+                        }
+                    }],
+                }
+            }
+        });
+    };
+
+    $('#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.html

@@ -1,43 +1,67 @@
 <!doctype html>
 <html>
-	<head>
-		<title>Line Chart</title>
-		<script src="../Chart.js"></script>
-		<meta name = "viewport" content = "initial-scale = 1, user-scalable = no">
-		<style>
-			canvas{
-			}
-		</style>
-	</head>
-	<body>
-		<canvas id="canvas" height="450" width="600"></canvas>
 
+<head>
+    <title>Line Chart</title>
+    <script src="../Chart.js"></script>
+    <script src="../node_modules/jquery/dist/jquery.min.js"></script>
+</head>
 
-	<script>
+<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.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 : [
-				{
-					fillColor : "rgba(220,220,220,0.5)",
-					strokeColor : "rgba(220,220,220,1)",
-					pointColor : "rgba(220,220,220,1)",
-					pointStrokeColor : "#fff",
-					data : [65,59,90,81,56,55,40]
-				},
-				{
-					fillColor : "rgba(151,187,205,0.5)",
-					strokeColor : "rgba(151,187,205,1)",
-					pointColor : "rgba(151,187,205,1)",
-					pointStrokeColor : "#fff",
-					data : [28,48,40,19,96,27,100]
-				}
-			]
-			
-		}
+    var config = {
+        data: {
+            labels: ["January", "February", "March", "April", "May", "June", "July"],
+            datasets: [{
+                label: "My First dataset",
+                data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
+                fill: false,
+            }, {
+                label: "My Second dataset",
+                data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
+            }]
+        },
+        options: {
+            responsive: true
+        }
+    };
+
+    $.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).Line(config);
+    };
+
+    $('#randomizeData').click(function() {
+        config.data.datasets[0].data = [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()];
+
+        config.data.datasets[1].data = [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()];
+
+        window.myLine.update();
+    });
+    </script>
+</body>
 
-	var myLine = new Chart(document.getElementById("canvas").getContext("2d")).Line(lineChartData);
-	
-	</script>
-	</body>
 </html>

samples/pie-customTooltips.html

@@ -0,0 +1,160 @@
+<!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({
+            data: pieData
+        });
+
+        var ctx2 = document.getElementById("chart-area2").getContext("2d");
+        window.myPie = new Chart(ctx2).Pie({
+            data: pieData
+        });
+    };
+    </script>
+</body>
+
+</html>

samples/pie.html

@@ -1,38 +1,101 @@
 <!doctype html>
 <html>
-	<head>
-		<title>Radar Chart</title>
-		<script src="../Chart.js"></script>
-		<meta name = "viewport" content = "initial-scale = 1, user-scalable = no">
-		<style>
-			canvas{
-			}
-		</style>
-	</head>
-	<body>
-		<canvas id="canvas" height="450" width="450"></canvas>
 
+<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>
 
-	<script>
+<body>
+    <div id="canvas-holder">
+        <canvas id="chart-area" width="300" height="300" />
+    </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);
+    };
 
-		var pieData = [
-				{
-					value: 30,
-					color:"#F38630"
-				},
-				{
-					value : 50,
-					color : "#E0E4CC"
-				},
-				{
-					value : 100,
-					color : "#69D2E7"
-				}
-			
-			];
+    var config = {
+        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).Pie(config);
+    };
+
+    $('#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();
+    });
+    </script>
+</body>
 
-	var myPie = new Chart(document.getElementById("canvas").getContext("2d")).Pie(pieData);
-	
-	</script>
-	</body>
 </html>

samples/polar-area.html

@@ -0,0 +1,71 @@
+<!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:100%">
+        <canvas id="chart-area" width="300" height="300" />
+    </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);
+    };
+
+    var config = {
+        data: {
+            datasets: [{
+                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.myPolarArea = new Chart(ctx).PolarArea(config);
+    };
+
+    $('#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.myPolarArea.update();
+    });
+    </script>
+</body>
+
+</html>

samples/polarArea.html

@@ -1,44 +0,0 @@
-<!doctype html>
-<html>
-	<head>
-		<title>Polar Area Chart</title>
-		<script src="../Chart.js"></script>
-		<meta name = "viewport" content = "initial-scale = 1, user-scalable = no">
-		<style>
-		</style>
-	</head>
-	<body>
-		<canvas id="canvas" height="400" width="400"></canvas>
-
-
-	<script>
-	var chartData = [
-			{
-				value : Math.random(),
-				color: "#D97041"
-			},
-			{
-				value : Math.random(),
-				color: "#C7604C"
-			},
-			{
-				value : Math.random(),
-				color: "#21323D"
-			},
-			{
-				value : Math.random(),
-				color: "#9D9B7F"
-			},
-			{
-				value : Math.random(),
-				color: "#7D4F6D"
-			},
-			{
-				value : Math.random(),
-				color: "#584A5E"
-			}
-		];
-	var myPolarArea = new Chart(document.getElementById("canvas").getContext("2d")).PolarArea(chartData);
-	</script>
-	</body>
-</html>

samples/radar.html

@@ -1,43 +1,61 @@
 <!doctype html>
 <html>
-	<head>
-		<title>Radar Chart</title>
-		<script src="../Chart.js"></script>
-		<meta name = "viewport" content = "initial-scale = 1, user-scalable = no">
-		<style>
-			canvas{
-			}
-		</style>
-	</head>
-	<body>
-		<canvas id="canvas" height="450" width="450"></canvas>
 
+<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" height="450" width="450"></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);
+    };
 
-		var radarChartData = {
-			labels : ["Eating","Drinking","Sleeping","Designing","Coding","Partying","Running"],
-			datasets : [
-				{
-					fillColor : "rgba(220,220,220,0.5)",
-					strokeColor : "rgba(220,220,220,1)",
-					pointColor : "rgba(220,220,220,1)",
-					pointStrokeColor : "#fff",
-					data : [65,59,90,81,56,55,40]
-				},
-				{
-					fillColor : "rgba(151,187,205,0.5)",
-					strokeColor : "rgba(151,187,205,1)",
-					pointColor : "rgba(151,187,205,1)",
-					pointStrokeColor : "#fff",
-					data : [28,48,40,19,96,27,100]
-				}
-			]
-			
-		}
+    var config = {
+        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: [null, randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()]
+            }, {
+                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: [null, randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()]
+            }]
+        },
+        options: {
+            responsive: true
+        }
+    };
+
+    window.onload = function() {
+        window.myRadar = new Chart(document.getElementById("canvas").getContext("2d")).Radar(config);
+    };
+
+    $('#randomizeData').click(function() {
+        config.data.datasets[0].backgroundColor = 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',.3)';
+        config.data.datasets[0].data = [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()];
+
+        config.data.datasets[1].backgroundColor = 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',.3)';
+        config.data.datasets[1].data = [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()];
+
+        window.myRadar.update();
+    });
+    </script>
+</body>
 
-	var myRadar = new Chart(document.getElementById("canvas").getContext("2d")).Radar(radarChartData,{scaleShowLabels : false, pointLabelFontSize : 10});
-	
-	</script>
-	</body>
 </html>

samples/scatter-multi-axis.html

@@ -0,0 +1,223 @@
+<!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 = new Chart(ctx).Scatter({
+        	data: scatterChartData,
+        	options: {
+	            responsive: true,
+	            hoverMode: 'single',
+	            scales: {
+	            	xAxes: [{
+	            		position: "bottom",
+	            		gridLines: {
+	            			zeroLineColor: "rgba(0,0,0,1)"
+	            		}
+	            	}],
+	            	yAxes: [{
+		                scaleType: "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",
+		        
+		                // grid line settings
+		                gridLines: {
+		                    show: true,
+		                    color: "rgba(0, 0, 0, 0.05)",
+		                    lineWidth: 1,
+		                    drawOnChartArea: true,
+		                    drawTicks: true,
+		                    zeroLineWidth: 1,
+		                    zeroLineColor: "rgba(0,0,0,0.25)",
+		                },
+
+		                // scale numbers
+		                beginAtZero: false,
+		                integersOnly: false,
+		                override: null,
+
+		                // label settings
+		                labels: {
+		                    show: true,
+		                    template: "<%=value%>",
+		                    fontSize: 12,
+		                    fontStyle: "normal",
+		                    fontColor: "#666",
+		                    fontFamily: "Helvetica Neue",
+		                }
+		            }, {
+		                scaleType: "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: {
+		                    show: true,
+		                    color: "rgba(0, 0, 0, 0.05)",
+		                    lineWidth: 1,
+		                    drawOnChartArea: false, // only want the grid lines for one axis to show up
+		                    drawTicks: false,
+		                    zeroLineWidth: 1,
+		                    zeroLineColor: "rgba(0,0,0,0.25)",
+		                },
+
+		                // scale numbers
+		                beginAtZero: false,
+		                integersOnly: false,
+		                override: null,
+
+		                // label settings
+		                labels: {
+		                    show: true,
+		                    template: "<%=value%>",
+		                    fontSize: 12,
+		                    fontStyle: "normal",
+		                    fontColor: "#666",
+		                    fontFamily: "Helvetica Neue",
+		                }
+		            }],
+	            }
+	        }
+        });
+    };
+
+    $('#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 +1,155 @@
+<!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 = new Chart(ctx).Scatter({
+        	data: scatterChartData,
+        	options: {
+	            responsive: true,
+	            hoverMode: 'single', // should always use single for a scatter chart
+	            scales: {
+	            	xAxes: [{
+	            		gridLines: {
+	            			zeroLineColor: "rgba(0,0,0,1)"
+	            		}
+	            	}]
+	            }
+            }
+        });
+    };
+
+    $('#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/sixup.html

@@ -1,155 +0,0 @@
-<!doctype html>
-<html>
-	<head>
-		<title>Doughnut Chart</title>
-		<script src="../Chart.js"></script>
-		<meta name = "viewport" content = "initial-scale = 1, user-scalable = no">
-		<style>
-			canvas{
-				float: left;
-			}
-		</style>
-	</head>
-	<body>
-		<div style="width:600px;height:600px;">
-			<canvas id="doughnut" height="300" width="200"></canvas>
-			<canvas id="line" height="300" width="200"></canvas>
-			<canvas id="polarArea" height="300" width="200"></canvas>
-			<canvas id="bar" height="300" width="200"></canvas>
-			<canvas id="pie" height="300" width="200"></canvas>
-			<canvas id="radar" height="300" width="200"></canvas>
-		</div>
-
-
-	<script>
-
-		var doughnutData = [
-				{
-					value: 30,
-					color:"#F7464A"
-				},
-				{
-					value : 50,
-					color : "#46BFBD"
-				},
-				{
-					value : 100,
-					color : "#FDB45C"
-				},
-				{
-					value : 40,
-					color : "#949FB1"
-				},
-				{
-					value : 120,
-					color : "#4D5360"
-				}
-			
-			];
-		var lineChartData = {
-			labels : ["","","","","","",""],
-			datasets : [
-				{
-					fillColor : "rgba(220,220,220,0.5)",
-					strokeColor : "rgba(220,220,220,1)",
-					pointColor : "rgba(220,220,220,1)",
-					pointStrokeColor : "#fff",
-					data : [65,59,90,81,56,55,40]
-				},
-				{
-					fillColor : "rgba(151,187,205,0.5)",
-					strokeColor : "rgba(151,187,205,1)",
-					pointColor : "rgba(151,187,205,1)",
-					pointStrokeColor : "#fff",
-					data : [28,48,40,19,96,27,100]
-				}
-			]
-			
-		};
-		var pieData = [
-				{
-					value: 30,
-					color:"#F38630"
-				},
-				{
-					value : 50,
-					color : "#E0E4CC"
-				},
-				{
-					value : 100,
-					color : "#69D2E7"
-				}
-			
-			];
-		var barChartData = {
-			labels : ["January","February","March","April","May","June","July"],
-			datasets : [
-				{
-					fillColor : "rgba(220,220,220,0.5)",
-					strokeColor : "rgba(220,220,220,1)",
-					data : [65,59,90,81,56,55,40]
-				},
-				{
-					fillColor : "rgba(151,187,205,0.5)",
-					strokeColor : "rgba(151,187,205,1)",
-					data : [28,48,40,19,96,27,100]
-				}
-			]
-			
-		};
-	var chartData = [
-			{
-				value : Math.random(),
-				color: "#D97041"
-			},
-			{
-				value : Math.random(),
-				color: "#C7604C"
-			},
-			{
-				value : Math.random(),
-				color: "#21323D"
-			},
-			{
-				value : Math.random(),
-				color: "#9D9B7F"
-			},
-			{
-				value : Math.random(),
-				color: "#7D4F6D"
-			},
-			{
-				value : Math.random(),
-				color: "#584A5E"
-			}
-		];
-		var radarChartData = {
-			labels : ["","","","","","",""],
-			datasets : [
-				{
-					fillColor : "rgba(220,220,220,0.5)",
-					strokeColor : "rgba(220,220,220,1)",
-					pointColor : "rgba(220,220,220,1)",
-					pointStrokeColor : "#fff",
-					data : [65,59,90,81,56,55,40]
-				},
-				{
-					fillColor : "rgba(151,187,205,0.5)",
-					strokeColor : "rgba(151,187,205,1)",
-					pointColor : "rgba(151,187,205,1)",
-					pointStrokeColor : "#fff",
-					data : [28,48,40,19,96,27,100]
-				}
-			]
-			
-		};
-	new Chart(document.getElementById("doughnut").getContext("2d")).Doughnut(doughnutData);
-	new Chart(document.getElementById("line").getContext("2d")).Line(lineChartData);
-	new Chart(document.getElementById("radar").getContext("2d")).Radar(radarChartData);
-	new Chart(document.getElementById("polarArea").getContext("2d")).PolarArea(chartData);
-	new Chart(document.getElementById("bar").getContext("2d")).Bar(barChartData);
-	new Chart(document.getElementById("pie").getContext("2d")).Pie(pieData);
-	
-	</script>
-	</body>
-</html>

site/assets/effects.js

@@ -1,320 +0,0 @@
-$(window).load(function() {
-		var lineChartData = {
-			labels : ["January","February","March","April","May","June","July"],
-			datasets : [
-				{
-					fillColor : "rgba(220,220,220,0.5)",
-					strokeColor : "rgba(220,220,220,1)",
-					pointColor : "rgba(220,220,220,1)",
-					pointStrokeColor : "#fff",
-					data : [65,59,90,81,56,55,40]
-				},
-				{
-					fillColor : "rgba(151,187,205,0.5)",
-					strokeColor : "rgba(151,187,205,1)",
-					pointColor : "rgba(151,187,205,1)",
-					pointStrokeColor : "#fff",
-					data : [28,48,40,19,96,27,100]
-				}
-			]
-		};
-		
-		var barChartData = {
-			labels : ["January","February","March","April","May","June","July"],
-			datasets : [
-				{
-					fillColor : "rgba(220,220,220,0.5)",
-					strokeColor : "rgba(220,220,220,1)",
-					data : [65,59,90,81,56,55,40]
-				},
-				{
-					fillColor : "rgba(151,187,205,0.5)",
-					strokeColor : "rgba(151,187,205,1)",
-					data : [28,48,40,19,96,27,100]
-				}
-			]
-			
-		};
-		
-		var radarChartData = {
-			labels : ["A","B","C","D","E","F","G"],
-			datasets : [
-				{
-					fillColor : "rgba(220,220,220,0.5)",
-					strokeColor : "rgba(220,220,220,1)",
-					pointColor : "rgba(220,220,220,1)",
-					pointStrokeColor : "#fff",
-					data : [65,59,90,81,56,55,40]
-				},
-				{
-					fillColor : "rgba(151,187,205,0.5)",
-					strokeColor : "rgba(151,187,205,1)",
-					pointColor : "rgba(151,187,205,1)",
-					pointStrokeColor : "#fff",
-					data : [28,48,40,19,96,27,100]
-				}
-			]
-			
-		};
-		var pieChartData = [
-				{
-					value: 30,
-					color:"#F38630"
-				},
-				{
-					value : 50,
-					color : "#E0E4CC"
-				},
-				{
-					value : 100,
-					color : "#69D2E7"
-				}
-			
-		];
-	var polarAreaChartData = [
-			{
-				value : 62,
-				color: "#D97041"
-			},
-			{
-				value : 70,
-				color: "#C7604C"
-			},
-			{
-				value : 41,
-				color: "#21323D"
-			},
-			{
-				value : 24,
-				color: "#9D9B7F"
-			},
-			{
-				value : 55,
-				color: "#7D4F6D"
-			},
-			{
-				value : 18,
-				color: "#584A5E"
-			}
-		];
-		var doughnutChartData = [
-				{
-					value: 30,
-					color:"#F7464A"
-				},
-				{
-					value : 50,
-					color : "#46BFBD"
-				},
-				{
-					value : 100,
-					color : "#FDB45C"
-				},
-				{
-					value : 40,
-					color : "#949FB1"
-				},
-				{
-					value : 120,
-					color : "#4D5360"
-				}
-			
-		];
-				
-		var globalGraphSettings = {animation : Modernizr.canvas};
-		
-		setIntroChart();
-		
-		function setIntroChart(){		
-			var ctx = document.getElementById("introChart").getContext("2d");
-			
-			new Chart(ctx).Line(lineChartData,{animation: Modernizr.canvas, scaleShowLabels : false, scaleFontColor : "#767C8D"});
-		};
-		
-		function showLineChart(){
-			var ctx = document.getElementById("lineChartCanvas").getContext("2d");
-			new Chart(ctx).Line(lineChartData,globalGraphSettings);
-		};
-		function showBarChart(){
-			var ctx = document.getElementById("barChartCanvas").getContext("2d");
-			new Chart(ctx).Bar(barChartData,globalGraphSettings);
-		};
-		function showRadarChart(){
-			var ctx = document.getElementById("radarChartCanvas").getContext("2d");
-			new Chart(ctx).Radar(radarChartData,globalGraphSettings);
-		}
-		function showPolarAreaChart(){
-			var ctx = document.getElementById("polarAreaChartCanvas").getContext("2d");
-			new Chart(ctx).PolarArea(polarAreaChartData,globalGraphSettings);			
-		}
-		function showPieChart(){
-			var ctx = document.getElementById("pieChartCanvas").getContext("2d");
-			new Chart(ctx).Pie(pieChartData,globalGraphSettings);
-		};
-		function showDoughnutChart(){
-			var ctx = document.getElementById("doughnutChartCanvas").getContext("2d");
-			new Chart(ctx).Doughnut(doughnutChartData,globalGraphSettings);
-		};
-		
-		var graphInitDelay = 300;
-		
-		//Set up each of the inview events here.
-		$("#lineChart").on("inview",function(){
-			var $this = $(this);
-			$this.removeClass("hidden").off("inview");
-			setTimeout(showLineChart,graphInitDelay);
-		});
-		$("#barChart").on("inview",function(){
-			var $this = $(this);
-			$this.removeClass("hidden").off("inview");
-			setTimeout(showBarChart,graphInitDelay);
-		});
-		
-		$("#radarChart").on("inview",function(){
-			var $this = $(this);
-			$this.removeClass("hidden").off("inview");
-			setTimeout(showRadarChart,graphInitDelay);			
-		});
-		$("#pieChart").on("inview",function(){
-			var $this = $(this);
-			$this.removeClass("hidden").off("inview");
-			setTimeout(showPieChart,graphInitDelay);			
-		});
-		$("#polarAreaChart").on("inview",function(){
-			var $this = $(this);
-			$this.removeClass("hidden").off("inview");
-			setTimeout(showPolarAreaChart,graphInitDelay);			
-		});
-		$("#doughnutChart").on("inview",function(){
-			var $this = $(this);
-			$this.removeClass("hidden").off("inview");
-			setTimeout(showDoughnutChart,graphInitDelay);			
-		});
-		
-	});
-	
-	/**
-	 * author Christopher Blum
-	 *    - based on the idea of Remy Sharp, http://remysharp.com/2009/01/26/element-in-view-event-plugin/
-	 *    - forked from http://github.com/zuk/jquery.inview/
-	 */
-	(function ($) {
-	  var inviewObjects = {}, viewportSize, viewportOffset,
-	      d = document, w = window, documentElement = d.documentElement, expando = $.expando;
-	
-	  $.event.special.inview = {
-	    add: function(data) {
-	      inviewObjects[data.guid + "-" + this[expando]] = { data: data, $element: $(this) };
-	    },
-	
-	    remove: function(data) {
-	      try { delete inviewObjects[data.guid + "-" + this[expando]]; } catch(e) {}
-	    }
-	  };
-	
-	  function getViewportSize() {
-	    var mode, domObject, size = { height: w.innerHeight, width: w.innerWidth };
-	
-	    // if this is correct then return it. iPad has compat Mode, so will
-	    // go into check clientHeight/clientWidth (which has the wrong value).
-	    if (!size.height) {
-	      mode = d.compatMode;
-	      if (mode || !$.support.boxModel) { // IE, Gecko
-	        domObject = mode === 'CSS1Compat' ?
-	          documentElement : // Standards
-	          d.body; // Quirks
-	        size = {
-	          height: domObject.clientHeight,
-	          width:  domObject.clientWidth
-	        };
-	      }
-	    }
-	
-	    return size;
-	  }
-	
-	  function getViewportOffset() {
-	    return {
-	      top:  w.pageYOffset || documentElement.scrollTop   || d.body.scrollTop,
-	      left: w.pageXOffset || documentElement.scrollLeft  || d.body.scrollLeft
-	    };
-	  }
-	
-	  function checkInView() {
-	    var $elements = $(), elementsLength, i = 0;
-	
-	    $.each(inviewObjects, function(i, inviewObject) {
-	      var selector  = inviewObject.data.selector,
-	          $element  = inviewObject.$element;
-	      $elements = $elements.add(selector ? $element.find(selector) : $element);
-	    });
-	
-	    elementsLength = $elements.length;
-	    if (elementsLength) {
-	      viewportSize   = viewportSize   || getViewportSize();
-	      viewportOffset = viewportOffset || getViewportOffset();
-	
-	      for (; i<elementsLength; i++) {
-	        // Ignore elements that are not in the DOM tree
-	        if (!$.contains(documentElement, $elements[i])) {
-	          continue;
-	        }
-	
-	        var $element      = $($elements[i]),
-	            elementSize   = { height: $element.height(), width: $element.width() },
-	            elementOffset = $element.offset(),
-	            inView        = $element.data('inview'),
-	            visiblePartX,
-	            visiblePartY,
-	            visiblePartsMerged;
-	        
-	        // Don't ask me why because I haven't figured out yet:
-	        // viewportOffset and viewportSize are sometimes suddenly null in Firefox 5.
-	        // Even though it sounds weird:
-	        // It seems that the execution of this function is interferred by the onresize/onscroll event
-	        // where viewportOffset and viewportSize are unset
-	        if (!viewportOffset || !viewportSize) {
-	          return;
-	        }
-	        
-	        if (elementOffset.top + elementSize.height > viewportOffset.top &&
-	            elementOffset.top < viewportOffset.top + viewportSize.height &&
-	            elementOffset.left + elementSize.width > viewportOffset.left &&
-	            elementOffset.left < viewportOffset.left + viewportSize.width) {
-	          visiblePartX = (viewportOffset.left > elementOffset.left ?
-	            'right' : (viewportOffset.left + viewportSize.width) < (elementOffset.left + elementSize.width) ?
-	            'left' : 'both');
-	          visiblePartY = (viewportOffset.top > elementOffset.top ?
-	            'bottom' : (viewportOffset.top + viewportSize.height) < (elementOffset.top + elementSize.height) ?
-	            'top' : 'both');
-	          visiblePartsMerged = visiblePartX + "-" + visiblePartY;
-	          if (!inView || inView !== visiblePartsMerged) {
-	            $element.data('inview', visiblePartsMerged).trigger('inview', [true, visiblePartX, visiblePartY]);
-	          }
-	        } else if (inView) {
-	          $element.data('inview', false).trigger('inview', [false]);
-	        }
-	      }
-	    }
-	  }
-	
-	  $(w).bind("scroll resize", function() {
-	    viewportSize = viewportOffset = null;
-	  });
-	  
-	  // IE < 9 scrolls to focused elements without firing the "scroll" event
-	  if (!documentElement.addEventListener && documentElement.attachEvent) {
-	    documentElement.attachEvent("onfocusin", function() {
-	      viewportOffset = null;
-	    });
-	  }
-	
-	  // Use setInterval in order to also make sure this captures elements within
-	  // "overflow:scroll" elements or elements that appeared in the dom tree due to
-	  // dom manipulation and reflow
-	  // old: $(window).scroll(checkInView);
-	  //
-	  // By the way, iOS (iPad, iPhone, ...) seems to not execute, or at least delays
-	  // intervals while the user scrolls. Therefore the inview event might fire a bit late there
-	  setInterval(checkInView, 250);
-	})(jQuery);	

site/styles.css

@@ -1,205 +0,0 @@
-* {
-  padding: 0;
-  margin: 0;
-  color: inherit;
-  -webkit-font-smoothing: antialiased;
-  text-rendering: optimizeLegibility;
-}
-body {
-  color: #282b36;
-  border-top: 8px solid #282b36;
-}
-canvas {
-  font-family: "proxima-nova", sans-serif sans-serif;
-}
-.redBorder,
-.greenBorder,
-.yellowBorder {
-  width: 33.33%;
-  float: left;
-  height: 8px;
-}
-.redBorder {
-  background-color: #f33e6f;
-}
-.greenBorder {
-  background-color: #46bfbd;
-}
-.yellowBorder {
-  background-color: #fdb45c;
-}
-h1 {
-  font-family: "proxima-nova", sans-serif;
-  font-weight: 600;
-  font-size: 55px;
-  margin-top: 40px;
-}
-h2 {
-  font-family: "proxima-nova", sans-serif;
-  font-weight: 400;
-  margin-top: 20px;
-  font-size: 26px;
-  line-height: 40px;
-}
-h3 {
-  font-family: "proxima-nova", sans-serif;
-  font-weight: 600;
-  text-align: center;
-  margin: 20px 0;
-}
-h3 a {
-  color: #2d91ea;
-  text-decoration: none;
-  border-bottom: 1px solid #2d91ea;
-}
-p {
-  font-family: "proxima-nova", sans-serif;
-  line-height: 24px;
-  font-size: 18px;
-  color: #767c8d;
-}
-.btn {
-  display: inline-block;
-  padding: 20px;
-  font-family: "proxima-nova", sans-serif;
-  font-weight: 600;
-  color: #fff;
-  text-decoration: none;
-  border-radius: 5px;
-  text-align: center;
-  font-size: 18px;
-  -webkit-transition-property: background-color box-shadow;
-  -webkit-transition-duration: 200ms;
-  -webkit-transition-timing-function: ease-in-out;
-  -moz-transition-property: background-color box-shadow;
-  -moz-transition-duration: 200ms;
-  -moz-transition-timing-function: ease-in-out;
-  -ms-transition-property: background-color box-shadow;
-  -ms-transition-duration: 200ms;
-  -ms-transition-timing-function: ease-in-out;
-  -o-transition-property: background-color box-shadow;
-  -o-transition-duration: 200ms;
-  -o-transition-timing-function: ease-in-out;
-  transition-property: background-color box-shadow;
-  transition-duration: 200ms;
-  transition-timing-function: ease-in-out;
-}
-.btn:active {
-  box-shadow: inset 1px 1px 4px rgba(0, 0, 0, 0.25);
-}
-.btn.red {
-  background-color: #f33e6f;
-}
-.btn.red:hover {
-  background-color: #f2265d;
-}
-.btn.blue {
-  background-color: #2d91ea;
-}
-.btn.blue:hover {
-  background-color: #1785e6;
-}
-header {
-  width: 978px;
-  margin: 20px auto;
-  display: block;
-  position: relative;
-}
-header hgroup {
-  width: 50%;
-  padding: 20px 0;
-}
-header #introChart {
-  position: absolute;
-  top: 60px;
-  right: 0;
-}
-header .btn {
-  margin-right: 10px;
-  width: 180px;
-}
-footer {
-  width: 100%;
-  text-align: center;
-  background-color: #ebebeb;
-}
-footer p {
-  color: #767c8d;
-  font-family: "proxima-nova", sans-serif;
-  font-size: 16px;
-  padding: 20px 0;
-}
-section {
-  width: 978px;
-  margin: 40px auto;
-}
-section:before {
-  content: '';
-  width: 600px;
-  margin: 0 auto;
-  border-top: 1px solid #ebebeb;
-  height: 20px;
-  display: block;
-}
-section:after {
-  content: "";
-  display: table;
-  clear: both;
-}
-*section {
-  zoom: 1;
-}
-#features article {
-  width: 33.33%;
-  float: left;
-}
-#features article p {
-  display: block;
-  width: 90%;
-  margin: 0 auto;
-  text-align: center;
-}
-#features article img {
-  width: 250px;
-  height: 250px;
-  margin: 0 auto;
-  display: block;
-}
-#examples article {
-  -webkit-transition: opacity 200ms ease-in-out;
-  -ms-transition: opacity 200ms ease-in-out;
-  -moz-transition: opacity 200ms ease-in-out;
-  -o-transition: opacity 200ms ease-in-out;
-  transition: opacity 200ms ease-in-out;
-  position: relative;
-  margin-top: 20px;
-  clear: both;
-}
-#examples article:after {
-  content: '';
-  width: 600px;
-  padding-top: 40px;
-  margin: 40px auto;
-  border-bottom: 1px solid #ebebeb;
-  height: 20px;
-  display: block;
-  clear: both;
-}
-#examples article p {
-  margin-top: 10px;
-}
-#examples article .half {
-  width: 50%;
-  float: left;
-}
-#examples article .canvasWrapper {
-  float: left;
-  width: 449px;
-  padding: 0 20px;
-}
-#examples h3 {
-  clear: both;
-}
-#examples .hidden {
-  opacity: 0;
-}

src/Chart.Bar.js

@@ -0,0 +1,561 @@
+(function() {
+    "use strict";
+
+    var root = this,
+        Chart = root.Chart,
+        helpers = Chart.helpers;
+
+    var defaultConfig = {
+
+        stacked: false,
+
+        hover: {
+            mode: "label"
+        },
+
+        scales: {
+            xAxes: [{
+                scaleType: "dataset", // scatter should not use a dataset axis
+                display: true,
+                position: "bottom",
+                id: "x-axis-1", // need an ID so datasets can reference the scale
+
+                // grid line settings
+                gridLines: {
+                    show: true,
+                    color: "rgba(0, 0, 0, 0.05)",
+                    lineWidth: 1,
+                    drawOnChartArea: true,
+                    drawTicks: true,
+                    zeroLineWidth: 1,
+                    zeroLineColor: "rgba(0,0,0,0.25)",
+                    offsetGridLines: true,
+                },
+
+                // label settings
+                labels: {
+                    show: true,
+                    template: "<%=value%>",
+                    fontSize: 12,
+                    fontStyle: "normal",
+                    fontColor: "#666",
+                    fontFamily: "Helvetica Neue",
+                },
+            }],
+            yAxes: [{
+                scaleType: "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",
+
+                // grid line settings
+                gridLines: {
+                    show: true,
+                    color: "rgba(0, 0, 0, 0.05)",
+                    lineWidth: 1,
+                    drawOnChartArea: true,
+                    drawTicks: true, // draw ticks extending towards the label
+                    zeroLineWidth: 1,
+                    zeroLineColor: "rgba(0,0,0,0.25)",
+                },
+
+                // scale numbers
+                beginAtZero: false,
+                override: null,
+
+                // label settings
+                labels: {
+                    show: true,
+                    template: "<%=value%>",
+                    fontSize: 12,
+                    fontStyle: "normal",
+                    fontColor: "#666",
+                    fontFamily: "Helvetica Neue",
+                }
+            }],
+        },
+
+    };
+
+
+    Chart.Type.extend({
+        name: "Bar",
+        defaults: defaultConfig,
+        initialize: function() {
+
+            var _this = this;
+
+            // Events
+            helpers.bindEvents(this, this.options.events, this.events);
+
+            //Create a new bar for each piece of data
+            helpers.each(this.data.datasets, function(dataset, datasetIndex) {
+                dataset.metaData = [];
+                helpers.each(dataset.data, function(dataPoint, index) {
+                    dataset.metaData.push(new Chart.Rectangle({
+                        _chart: this.chart,
+                        _datasetIndex: datasetIndex,
+                        _index: index,
+                    }));
+                }, this);
+
+                // The bar chart only supports a single x axis because the x axis is always a dataset axis
+                dataset.xAxisID = this.options.scales.xAxes[0].id;
+
+                if (!dataset.yAxisID) {
+                    dataset.yAxisID = this.options.scales.yAxes[0].id;
+                }
+            }, this);
+
+            // Build and fit the scale. Needs to happen after the axis IDs have been set
+            this.buildScale();
+
+            // Create tooltip instance exclusively for this chart with some defaults.
+            this.tooltip = new Chart.Tooltip({
+                _chart: this.chart,
+                _data: this.data,
+                _options: this.options,
+            }, this);
+
+            // Need to fit scales before we reset elements. 
+            Chart.scaleService.fitScalesForChart(this, this.chart.width, this.chart.height);
+
+            // So that we animate from the baseline
+            this.resetElements();
+
+            // Update the chart with the latest data.
+            this.update();
+        },
+        resetElements: function() {
+            // Update the points
+            this.eachElement(function(bar, index, dataset, datasetIndex) {
+                var xScale = this.scales[this.data.datasets[datasetIndex].xAxisID];
+                var yScale = this.scales[this.data.datasets[datasetIndex].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(bar, {
+                    // Utility
+                    _chart: this.chart,
+                    _xScale: xScale,
+                    _yScale: yScale,
+                    _datasetIndex: datasetIndex,
+                    _index: index,
+
+                    // Desired view properties
+                    _model: {
+                        x: xScale.calculateBarX(this.data.datasets.length, datasetIndex, index),
+                        y: yScalePoint,
+
+                        // Appearance
+                        base: yScale.calculateBarBase(datasetIndex, index),
+                        width: xScale.calculateBarWidth(this.data.datasets.length),
+                        backgroundColor: bar.custom && bar.custom.backgroundColor ? bar.custom.backgroundColor : helpers.getValueAtIndexOrDefault(this.data.datasets[datasetIndex].backgroundColor, index, this.options.elements.bar.backgroundColor),
+                        borderColor: bar.custom && bar.custom.borderColor ? bar.custom.borderColor : helpers.getValueAtIndexOrDefault(this.data.datasets[datasetIndex].borderColor, index, this.options.elements.bar.borderColor),
+                        borderWidth: bar.custom && bar.custom.borderWidth ? bar.custom.borderWidth : helpers.getValueAtIndexOrDefault(this.data.datasets[datasetIndex].borderWidth, index, this.options.elements.bar.borderWidth),
+
+                        // Tooltip
+                        label: this.data.labels[index],
+                        datasetLabel: this.data.datasets[datasetIndex].label,
+                    },
+                });
+                bar.pivot();
+            }, this);
+        },
+        update: function() {
+            // Update the scale sizes
+            Chart.scaleService.fitScalesForChart(this, this.chart.width, this.chart.height);
+
+            // Update the points
+            this.eachElement(function(bar, index, dataset, datasetIndex) {
+                var xScale = this.scales[this.data.datasets[datasetIndex].xAxisID];
+                var yScale = this.scales[this.data.datasets[datasetIndex].yAxisID];
+
+                helpers.extend(bar, {
+                    // Utility
+                    _chart: this.chart,
+                    _xScale: xScale,
+                    _yScale: yScale,
+                    _datasetIndex: datasetIndex,
+                    _index: index,
+
+                    // Desired view properties
+                    _model: {
+                        x: xScale.calculateBarX(this.data.datasets.length, datasetIndex, index),
+                        y: yScale.calculateBarY(datasetIndex, index),
+
+                        // Appearance
+                        base: yScale.calculateBarBase(datasetIndex, index),
+                        width: xScale.calculateBarWidth(this.data.datasets.length),
+                        backgroundColor: bar.custom && bar.custom.backgroundColor ? bar.custom.backgroundColor : helpers.getValueAtIndexOrDefault(this.data.datasets[datasetIndex].backgroundColor, index, this.options.elements.bar.backgroundColor),
+                        borderColor: bar.custom && bar.custom.borderColor ? bar.custom.borderColor : helpers.getValueAtIndexOrDefault(this.data.datasets[datasetIndex].borderColor, index, this.options.elements.bar.borderColor),
+                        borderWidth: bar.custom && bar.custom.borderWidth ? bar.custom.borderWidth : helpers.getValueAtIndexOrDefault(this.data.datasets[datasetIndex].borderWidth, index, this.options.elements.bar.borderWidth),
+
+                        // Tooltip
+                        label: this.data.labels[index],
+                        datasetLabel: this.data.datasets[datasetIndex].label,
+                    },
+                });
+                bar.pivot();
+            }, this);
+
+
+            this.render();
+        },
+        buildScale: function(labels) {
+            var self = this;
+
+            // Function to determine the range of all the 
+            var calculateYRange = function() {
+                this.min = null;
+                this.max = null;
+
+                var positiveValues = [];
+                var negativeValues = [];
+
+                if (self.options.stacked) {
+                    helpers.each(self.data.datasets, function(dataset) {
+                        if (dataset.yAxisID === this.id) {
+                            helpers.each(dataset.data, function(value, index) {
+                                positiveValues[index] = positiveValues[index] || 0;
+                                negativeValues[index] = negativeValues[index] || 0;
+
+                                if (self.options.relativePoints) {
+                                    positiveValues[index] = 100;
+                                } else {
+                                    if (value < 0) {
+                                        negativeValues[index] += value;
+                                    } else {
+                                        positiveValues[index] += value;
+                                    }
+                                }
+                            }, this);
+                        }
+                    }, this);
+
+                    var values = positiveValues.concat(negativeValues);
+                    this.min = helpers.min(values);
+                    this.max = helpers.max(values);
+
+                } else {
+                    helpers.each(self.data.datasets, function(dataset) {
+                        if (dataset.yAxisID === this.id) {
+                            helpers.each(dataset.data, function(value, index) {
+                                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);
+                }
+            };
+
+            // Map of scale ID to scale object so we can lookup later 
+            this.scales = {};
+
+            // Build the x axis. The line chart only supports a single x axis
+            var ScaleClass = Chart.scales.getScaleConstructor(this.options.scales.xAxes[0].scaleType);
+            var xScale = new ScaleClass({
+                ctx: this.chart.ctx,
+                options: this.options.scales.xAxes[0],
+                id: this.options.scales.xAxes[0].id,
+                calculateRange: function() {
+                    this.labels = self.data.labels;
+                    this.min = 0;
+                    this.max = this.labels.length;
+                },
+                calculateBaseWidth: function() {
+                    return (this.getPixelForValue(null, 1, true) - this.getPixelForValue(null, 0, true)) - (2 * self.options.elements.bar.valueSpacing);
+                },
+                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) * self.options.elements.bar.datasetSpacing);
+
+                    if (self.options.stacked) {
+                        return baseWidth;
+                    }
+                    return (baseWidth / datasetCount);
+                },
+                calculateBarX: function(datasetCount, datasetIndex, elementIndex) {
+                    var xWidth = this.calculateBaseWidth(),
+                        xAbsolute = this.getPixelForValue(null, elementIndex, true) - (xWidth / 2),
+                        barWidth = this.calculateBarWidth(datasetCount);
+
+                    if (self.options.stacked) {
+                        return xAbsolute + barWidth / 2;
+                    }
+
+                    return xAbsolute + (barWidth * datasetIndex) + (datasetIndex * self.options.elements.bar.datasetSpacing) + barWidth / 2;
+                },
+            });
+            this.scales[xScale.id] = xScale;
+
+            // Build up all the y scales
+            helpers.each(this.options.scales.yAxes, function(yAxisOptions) {
+                var ScaleClass = Chart.scales.getScaleConstructor(yAxisOptions.scaleType);
+                var scale = new ScaleClass({
+                    ctx: this.chart.ctx,
+                    options: yAxisOptions,
+                    calculateRange: calculateYRange,
+                    calculateBarBase: function(datasetIndex, index) {
+                        var base = 0;
+
+                        if (self.options.stacked) {
+
+                            var value = self.data.datasets[datasetIndex].data[index];
+
+                            if (value < 0) {
+                                for (var i = 0; i < datasetIndex; i++) {
+                                    if (self.data.datasets[i].yAxisID === this.id) {
+                                        base += self.data.datasets[i].data[index] < 0 ? self.data.datasets[i].data[index] : 0;
+                                    }
+                                }
+                            } else {
+                                for (var j = 0; j < datasetIndex; j++) {
+                                    if (self.data.datasets[j].yAxisID === this.id) {
+                                        base += self.data.datasets[j].data[index] > 0 ? self.data.datasets[j].data[index] : 0;
+                                    }
+                                }
+                            }
+
+                            return this.getPixelForValue(base);
+                        }
+
+                        base = this.getPixelForValue(this.min);
+
+                        if (this.beginAtZero || ((this.min <= 0 && this.max >= 0) || (this.min >= 0 && this.max <= 0))) {
+                            base = this.getPixelForValue(0);
+                            base += this.options.gridLines.lineWidth;
+                        } else if (this.min < 0 && this.max < 0) {
+                            // All values are negative. Use the top as the base
+                            base = this.getPixelForValue(this.max);
+                        }
+
+                        return base;
+
+                    },
+                    calculateBarY: function(datasetIndex, index) {
+
+                        var value = self.data.datasets[datasetIndex].data[index];
+
+                        if (self.options.stacked) {
+
+                            var sumPos = 0,
+                                sumNeg = 0;
+
+                            for (var i = 0; i < datasetIndex; i++) {
+                                if (self.data.datasets[i].data[index] < 0) {
+                                    sumNeg += self.data.datasets[i].data[index] || 0;
+                                } else {
+                                    sumPos += self.data.datasets[i].data[index] || 0;
+                                }
+                            }
+
+                            if (value < 0) {
+                                return this.getPixelForValue(sumNeg + value);
+                            } else {
+                                return this.getPixelForValue(sumPos + value);
+                            }
+
+                            return this.getPixelForValue(value);
+                        }
+
+                        var offset = 0;
+
+                        for (var j = datasetIndex; j < self.data.datasets.length; j++) {
+                            if (j === datasetIndex && value) {
+                                offset += value;
+                            } else {
+                                offset = offset + value;
+                            }
+                        }
+
+                        return this.getPixelForValue(value);
+                    },
+                    id: yAxisOptions.id,
+                });
+
+                this.scales[scale.id] = scale;
+            }, this);
+        },
+        draw: function(ease) {
+
+            var easingDecimal = ease || 1;
+            this.clear();
+
+            // Draw all the scales
+            helpers.each(this.scales, function(scale) {
+                scale.draw(this.chartArea);
+            }, this);
+
+            //Draw all the bars for each dataset
+            this.eachElement(function(bar, index, datasetIndex) {
+                bar.transition(easingDecimal).draw();
+            }, this);
+
+            // Finally draw the tooltip
+            this.tooltip.transition(easingDecimal).draw();
+        },
+        events: function(e) {
+
+
+            // If exiting chart
+            if (e.type == 'mouseout') {
+                return this;
+            }
+
+            this.lastActive = this.lastActive || [];
+
+            // Find Active Elements
+            this.active = function() {
+                switch (this.options.hover.mode) {
+                    case 'single':
+                        return this.getElementAtEvent(e);
+                    case 'label':
+                        return this.getElementsAtEvent(e);
+                    case 'dataset':
+                        return this.getDatasetAtEvent(e);
+                    default:
+                        return e;
+                }
+            }.call(this);
+
+            // 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);
+                }
+            }
+
+            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':
+                        dataset = this.data.datasets[this.lastActive[0]._datasetIndex];
+                        index = this.lastActive[0]._index;
+
+                        this.lastActive[0]._model.backgroundColor = this.lastActive[0].custom && this.lastActive[0].custom.backgroundColor ? this.lastActive[0].custom.backgroundColor : helpers.getValueAtIndexOrDefault(dataset.backgroundColor, index, this.options.elements.bar.backgroundColor);
+                        this.lastActive[0]._model.borderColor = this.lastActive[0].custom && this.lastActive[0].custom.borderColor ? this.lastActive[0].custom.borderColor : helpers.getValueAtIndexOrDefault(dataset.borderColor, index, this.options.elements.bar.borderColor);
+                        this.lastActive[0]._model.borderWidth = this.lastActive[0].custom && this.lastActive[0].custom.borderWidth ? this.lastActive[0].custom.borderWidth : helpers.getValueAtIndexOrDefault(dataset.borderWidth, index, this.options.elements.bar.borderWidth);
+                        break;
+                    case 'label':
+                        for (var i = 0; i < this.lastActive.length; i++) {
+                            dataset = this.data.datasets[this.lastActive[i]._datasetIndex];
+                            index = this.lastActive[i]._index;
+
+                            this.lastActive[i]._model.backgroundColor = this.lastActive[i].custom && this.lastActive[i].custom.backgroundColor ? this.lastActive[i].custom.backgroundColor : helpers.getValueAtIndexOrDefault(dataset.backgroundColor, index, this.options.elements.bar.backgroundColor);
+                            this.lastActive[i]._model.borderColor = this.lastActive[i].custom && this.lastActive[i].custom.borderColor ? this.lastActive[i].custom.borderColor : helpers.getValueAtIndexOrDefault(dataset.borderColor, index, this.options.elements.bar.borderColor);
+                            this.lastActive[i]._model.borderWidth = this.lastActive[i].custom && this.lastActive[i].custom.borderWidth ? this.lastActive[i].custom.borderWidth : helpers.getValueAtIndexOrDefault(dataset.borderWidth, index, this.options.elements.bar.borderWidth);
+                        }
+                        break;
+                    case 'dataset':
+                        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':
+                        dataset = this.data.datasets[this.active[0]._datasetIndex];
+                        index = this.active[0]._index;
+
+                        this.active[0]._model.backgroundColor = this.active[0].custom && this.active[0].custom.hoverBackgroundColor ? this.active[0].custom.hoverBackgroundColor : helpers.getValueAtIndexOrDefault(dataset.hoverBackgroundColor, index, helpers.color(this.active[0]._model.backgroundColor).saturate(0.5).darken(0.35).rgbString());
+                        this.active[0]._model.borderColor = this.active[0].custom && this.active[0].custom.hoverBorderColor ? this.active[0].custom.hoverBorderColor : helpers.getValueAtIndexOrDefault(dataset.hoverBorderColor, index, helpers.color(this.active[0]._model.borderColor).saturate(0.5).darken(0.35).rgbString());
+                        this.active[0]._model.borderWidth = this.active[0].custom && this.active[0].custom.hoverBorderWidth ? this.active[0].custom.hoverBorderWidth : helpers.getValueAtIndexOrDefault(dataset.borderWidth, index, this.active[0]._model.borderWidth);
+                        break;
+                    case 'label':
+                        for (var i = 0; i < this.active.length; i++) {
+                            dataset = this.data.datasets[this.active[i]._datasetIndex];
+                            index = this.active[i]._index;
+
+                            this.active[i]._model.backgroundColor = this.active[i].custom && this.active[i].custom.hoverBackgroundColor ? this.active[i].custom.hoverBackgroundColor : helpers.getValueAtIndexOrDefault(dataset.hoverBackgroundColor, index, helpers.color(this.active[i]._model.backgroundColor).saturate(0.5).darken(0.35).rgbString());
+                            this.active[i]._model.borderColor = this.active[i].custom && this.active[i].custom.hoverBorderColor ? this.active[i].custom.hoverBorderColor : helpers.getValueAtIndexOrDefault(dataset.hoverBorderColor, index, helpers.color(this.active[i]._model.borderColor).saturate(0.5).darken(0.35).rgbString());
+                            this.active[i]._model.borderWidth = this.active[i].custom && this.active[i].custom.hoverBorderWidth ? this.active[i].custom.hoverBorderWidth : helpers.getValueAtIndexOrDefault(dataset.borderWidth, index, this.active[i]._model.borderWidth);
+                        }
+                        break;
+                    case 'dataset':
+                        break;
+                    default:
+                        // Don't change anything
+                }
+            }
+
+
+            // Built in Tooltips
+            if (this.options.tooltips.enabled) {
+
+                // The usual updates
+                this.tooltip.initialize();
+
+                // Active
+                if (this.active.length) {
+                    this.tooltip._model.opacity = 1;
+
+                    helpers.extend(this.tooltip, {
+                        _active: this.active,
+                    });
+
+                    this.tooltip.update();
+                } else {
+                    // Inactive
+                    this.tooltip._model.opacity = 0;
+                }
+            }
+
+
+            this.tooltip.pivot();
+
+            // Hover animations
+            if (!this.animating) {
+                var changed;
+
+                helpers.each(this.active, function(element, index) {
+                    if (element !== this.lastActive[index]) {
+                        changed = true;
+                    }
+                }, this);
+
+                // If entering, leaving, or changing elements, animate the change via pivot
+                if ((!this.lastActive.length && this.active.length) ||
+                    (this.lastActive.length && !this.active.length) ||
+                    (this.lastActive.length && this.active.length && changed)) {
+
+                    this.stop();
+                    this.render(this.options.hoverAnimationDuration);
+                }
+            }
+
+            // Remember Last Active
+            this.lastActive = this.active;
+            return this;
+        },
+    });
+
+
+}).call(this);

src/Chart.Doughnut.js

@@ -0,0 +1,367 @@
+(function() {
+    "use strict";
+
+    var root = this,
+        Chart = root.Chart,
+        //Cache a local reference to Chart.helpers
+        helpers = Chart.helpers;
+
+    var defaultConfig = {
+
+        animation: {
+            //Boolean - Whether we animate the rotation of the Doughnut
+            animateRotate: true,
+
+            //Boolean - Whether we animate scaling the Doughnut from the centre
+            animateScale: false,
+        },
+
+        hover: {
+            mode: 'single'
+        },
+
+        //The percentage of the chart that we cut out of the middle.
+
+        cutoutPercentage: 50,
+
+    };
+
+    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() {
+
+            //Set up tooltip events on the chart
+            helpers.bindEvents(this, this.options.events, this.events);
+
+            //Create a new bar for each piece of data
+            helpers.each(this.data.datasets, function(dataset, datasetIndex) {
+                dataset.metaData = [];
+                helpers.each(dataset.data, function(dataPoint, index) {
+                    dataset.metaData.push(new Chart.Arc({
+                        _chart: this.chart,
+                        _datasetIndex: datasetIndex,
+                        _index: index,
+                        _model: {}
+                    }));
+                }, this);
+            }, this);
+
+            // Create tooltip instance exclusively for this chart with some defaults.
+            this.tooltip = new Chart.Tooltip({
+                _chart: this.chart,
+                _data: this.data,
+                _options: this.options,
+            }, this);
+
+            this.resetElements();
+
+            // Update the chart with the latest data.
+            this.update();
+
+        },
+
+        calculateCircumference: function(dataset, value) {
+            if (dataset.total > 0) {
+                return (Math.PI * 2) * (value / dataset.total);
+            } else {
+                return 0;
+            }
+        },
+        resetElements: function() {
+            this.outerRadius = (helpers.min([this.chart.width, this.chart.height]) - this.options.elements.slice.borderWidth / 2) / 2;
+            this.innerRadius = this.options.cutoutPercentage ? (this.outerRadius / 100) * (this.options.cutoutPercentage) : 1;
+            this.radiusLength = (this.outerRadius - this.innerRadius) / this.data.datasets.length;
+
+            // Update the points
+            helpers.each(this.data.datasets, function(dataset, datasetIndex) {
+                // So that calculateCircumference works
+                dataset.total = 0;
+                helpers.each(dataset.data, function(value) {
+                    dataset.total += Math.abs(value);
+                }, this);
+
+                dataset.outerRadius = this.outerRadius - (this.radiusLength * datasetIndex);
+                dataset.innerRadius = dataset.outerRadius - this.radiusLength;
+
+                helpers.each(dataset.metaData, function(slice, index) {
+                    helpers.extend(slice, {
+                        _model: {
+                            x: this.chart.width / 2,
+                            y: this.chart.height / 2,
+                            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
+                            circumference: (this.options.animation.animateRotate) ? 0 : this.calculateCircumference(metaSlice.value),
+                            outerRadius: (this.options.animation.animateScale) ? 0 : dataset.outerRadius,
+                            innerRadius: (this.options.animation.animateScale) ? 0 : dataset.innerRadius,
+
+                            backgroundColor: slice.custom && slice.custom.backgroundColor ? slice.custom.backgroundColor : helpers.getValueAtIndexOrDefault(dataset.backgroundColor, index, this.options.elements.slice.backgroundColor),
+                            hoverBackgroundColor: slice.custom && slice.custom.hoverBackgroundColor ? slice.custom.hoverBackgroundColor : helpers.getValueAtIndexOrDefault(dataset.hoverBackgroundColor, index, this.options.elements.slice.hoverBackgroundColor),
+                            borderWidth: slice.custom && slice.custom.borderWidth ? slice.custom.borderWidth : helpers.getValueAtIndexOrDefault(dataset.borderWidth, index, this.options.elements.slice.borderWidth),
+                            borderColor: slice.custom && slice.custom.borderColor ? slice.custom.borderColor : helpers.getValueAtIndexOrDefault(dataset.borderColor, index, this.options.elements.slice.borderColor),
+
+                            label: helpers.getValueAtIndexOrDefault(dataset.label, index, this.data.labels[index])
+                        },
+                    });
+
+                    slice.pivot();
+                }, this);
+
+            }, this);
+        },
+        update: function() {
+
+            this.outerRadius = (helpers.min([this.chart.width, this.chart.height]) - this.options.elements.slice.borderWidth / 2) / 2;
+            this.innerRadius = this.options.cutoutPercentage ? (this.outerRadius / 100) * (this.options.cutoutPercentage) : 1;
+            this.radiusLength = (this.outerRadius - this.innerRadius) / this.data.datasets.length;
+
+
+            // Update the points
+            helpers.each(this.data.datasets, function(dataset, datasetIndex) {
+
+                dataset.total = 0;
+                helpers.each(dataset.data, function(value) {
+                    dataset.total += Math.abs(value);
+                }, this);
+
+
+                dataset.outerRadius = this.outerRadius - (this.radiusLength * datasetIndex);
+
+                dataset.innerRadius = dataset.outerRadius - this.radiusLength;
+
+                helpers.each(dataset.metaData, function(slice, index) {
+
+                    helpers.extend(slice, {
+                        // Utility
+                        _chart: this.chart,
+                        _datasetIndex: datasetIndex,
+                        _index: index,
+
+                        // Desired view properties
+                        _model: {
+                            x: this.chart.width / 2,
+                            y: this.chart.height / 2,
+                            circumference: this.calculateCircumference(dataset, dataset.data[index]),
+                            outerRadius: dataset.outerRadius,
+                            innerRadius: dataset.innerRadius,
+
+                            backgroundColor: slice.custom && slice.custom.backgroundColor ? slice.custom.backgroundColor : helpers.getValueAtIndexOrDefault(dataset.backgroundColor, index, this.options.elements.slice.backgroundColor),
+                            hoverBackgroundColor: slice.custom && slice.custom.hoverBackgroundColor ? slice.custom.hoverBackgroundColor : helpers.getValueAtIndexOrDefault(dataset.hoverBackgroundColor, index, this.options.elements.slice.hoverBackgroundColor),
+                            borderWidth: slice.custom && slice.custom.borderWidth ? slice.custom.borderWidth : helpers.getValueAtIndexOrDefault(dataset.borderWidth, index, this.options.elements.slice.borderWidth),
+                            borderColor: slice.custom && slice.custom.borderColor ? slice.custom.borderColor : helpers.getValueAtIndexOrDefault(dataset.borderColor, index, this.options.elements.slice.borderColor),
+
+                            label: helpers.getValueAtIndexOrDefault(dataset.label, index, this.data.labels[index])
+                        },
+                    });
+
+                    if (index === 0) {
+                        slice._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 {
+                        slice._model.startAngle = dataset.metaData[index - 1]._model.endAngle;
+                    }
+
+                    slice._model.endAngle = slice._model.startAngle + slice._model.circumference;
+
+
+                    //Check to see if it's the last slice, if not get the next and update its start angle
+                    if (index < dataset.data.length - 1) {
+                        dataset.metaData[index + 1]._model.startAngle = slice._model.endAngle;
+                    }
+
+                    slice.pivot();
+                }, this);
+
+            }, this);
+
+            this.render();
+        },
+        draw: function(easeDecimal) {
+            easeDecimal = easeDecimal || 1;
+            this.clear();
+
+            this.eachElement(function(slice) {
+                slice.transition(easeDecimal).draw();
+            }, this);
+
+            this.tooltip.transition(easeDecimal).draw();
+        },
+        events: function(e) {
+
+            // If exiting chart
+            if (e.type == 'mouseout') {
+                return this;
+            }
+
+            this.lastActive = this.lastActive || [];
+
+            // Find Active Elements
+            this.active = function() {
+                switch (this.options.hover.mode) {
+                    case 'single':
+                        return this.getSliceAtEvent(e);
+                    case 'label':
+                        return this.getSlicesAtEvent(e);
+                    case 'dataset':
+                        return this.getDatasetAtEvent(e);
+                    default:
+                        return e;
+                }
+            }.call(this);
+
+            // 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);
+                }
+            }
+
+            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':
+                        dataset = this.data.datasets[this.lastActive[0]._datasetIndex];
+                        index = this.lastActive[0]._index;
+
+                        this.lastActive[0]._model.backgroundColor = this.lastActive[0].custom && this.lastActive[0].custom.backgroundColor ? this.lastActive[0].custom.backgroundColor : helpers.getValueAtIndexOrDefault(dataset.backgroundColor, index, this.options.elements.slice.backgroundColor);
+                        this.lastActive[0]._model.borderColor = this.lastActive[0].custom && this.lastActive[0].custom.borderColor ? this.lastActive[0].custom.borderColor : helpers.getValueAtIndexOrDefault(dataset.borderColor, index, this.options.elements.slice.borderColor);
+                        this.lastActive[0]._model.borderWidth = this.lastActive[0].custom && this.lastActive[0].custom.borderWidth ? this.lastActive[0].custom.borderWidth : helpers.getValueAtIndexOrDefault(dataset.borderWidth, index, this.options.elements.slice.borderWidth);
+                        break;
+                    case 'label':
+                        for (var i = 0; i < this.lastActive.length; i++) {
+                            dataset = this.data.datasets[this.lastActive[i]._datasetIndex];
+                            index = this.lastActive[i]._index;
+
+                            this.lastActive[i]._model.backgroundColor = this.lastActive[i].custom && this.lastActive[i].custom.backgroundColor ? this.lastActive[i].custom.backgroundColor : helpers.getValueAtIndexOrDefault(dataset.backgroundColor, index, this.options.elements.slice.backgroundColor);
+                            this.lastActive[i]._model.borderColor = this.lastActive[i].custom && this.lastActive[i].custom.borderColor ? this.lastActive[i].custom.borderColor : helpers.getValueAtIndexOrDefault(dataset.borderColor, index, this.options.elements.slice.borderColor);
+                            this.lastActive[i]._model.borderWidth = this.lastActive[i].custom && this.lastActive[i].custom.borderWidth ? this.lastActive[i].custom.borderWidth : helpers.getValueAtIndexOrDefault(dataset.borderWidth, index, this.options.elements.slice.borderWidth);
+                        }
+                        break;
+                    case 'dataset':
+                        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':
+                        dataset = this.data.datasets[this.active[0]._datasetIndex];
+                        index = this.active[0]._index;
+
+                        this.active[0]._model.radius = this.active[0].custom && this.active[0].custom.hoverRadius ? this.active[0].custom.hoverRadius : helpers.getValueAtIndexOrDefault(dataset.hoverRadius, index, this.active[0]._model.radius + 2);
+                        this.active[0]._model.backgroundColor = this.active[0].custom && this.active[0].custom.hoverBackgroundColor ? this.active[0].custom.hoverBackgroundColor : helpers.getValueAtIndexOrDefault(dataset.hoverBackgroundColor, index, helpers.color(this.active[0]._model.backgroundColor).saturate(0.5).darken(0.35).rgbString());
+                        this.active[0]._model.borderColor = this.active[0].custom && this.active[0].custom.hoverBorderColor ? this.active[0].custom.hoverBorderColor : helpers.getValueAtIndexOrDefault(dataset.hoverBorderColor, index, this.active[0]._model.borderColor);
+                        this.active[0]._model.borderWidth = this.active[0].custom && this.active[0].custom.hoverBorderWidth ? this.active[0].custom.hoverBorderWidth : helpers.getValueAtIndexOrDefault(dataset.hoverBorderWidth, index, this.active[0]._model.borderWidth);
+                        break;
+                    case 'label':
+                        for (var i = 0; i < this.active.length; i++) {
+                            dataset = this.data.datasets[this.active[i]._datasetIndex];
+                            index = this.active[i]._index;
+
+                            this.active[i]._model.radius = this.active[i].custom && this.active[i].custom.hoverRadius ? this.active[i].custom.hoverRadius : helpers.getValueAtIndexOrDefault(dataset.hoverRadius, index, this.active[i]._model.radius + 2);
+                            this.active[i]._model.backgroundColor = this.active[i].custom && this.active[i].custom.hoverBackgroundColor ? this.active[i].custom.hoverBackgroundColor : helpers.getValueAtIndexOrDefault(dataset.hoverBackgroundColor, index, helpers.color(this.active[i]._model.backgroundColor).saturate(0.5).darken(0.35).rgbString());
+                            this.active[i]._model.borderColor = this.active[i].custom && this.active[i].custom.hoverBorderColor ? this.active[i].custom.hoverBorderColor : helpers.getValueAtIndexOrDefault(dataset.hoverBorderColor, index, this.active[0]._model.borderColor);
+                            this.active[i]._model.borderWidth = this.active[i].custom && this.active[i].custom.hoverBorderWidth ? this.active[i].custom.hoverBorderWidth : helpers.getValueAtIndexOrDefault(dataset.hoverBorderWidth, index, this.active[i]._model.borderWidth);
+                        }
+                        break;
+                    case 'dataset':
+                        break;
+                    default:
+                        // Don't change anything
+                }
+            }
+
+
+            // Built in Tooltips
+            if (this.options.tooltips.enabled) {
+
+                // The usual updates
+                this.tooltip.initialize();
+
+                // Active
+                if (this.active.length) {
+                    this.tooltip._model.opacity = 1;
+
+                    helpers.extend(this.tooltip, {
+                        _active: this.active,
+                    });
+
+                    this.tooltip.update();
+                } else {
+                    // Inactive
+                    this.tooltip._model.opacity = 0;
+                }
+            }
+
+
+            // 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);
+
+                // If entering, leaving, or changing elements, animate the change via pivot
+                if ((!this.lastActive.length && this.active.length) ||
+                    (this.lastActive.length && !this.active.length) ||
+                    (this.lastActive.length && this.active.length && changed)) {
+
+                    this.stop();
+                    this.render(this.options.hover.animationDuration);
+                }
+            }
+
+            // Remember Last Active
+            this.lastActive = this.active;
+            return this;
+        },
+        getSliceAtEvent: function(e) {
+            var elements = [];
+
+            var location = helpers.getRelativePosition(e);
+
+            this.eachElement(function(slice, index) {
+                if (slice.inRange(location.x, location.y)) {
+                    elements.push(slice);
+                }
+            }, this);
+            return elements;
+        },
+        /*getSlicesAtEvent: function(e) {
+            var elements = [];
+
+            var location = helpers.getRelativePosition(e);
+
+            this.eachElement(function(slice, index) {
+                if (slice.inGroupRange(location.x, location.y)) {
+                    elements.push(slice);
+                }
+            }, this);
+            return elements;
+        },*/
+    });
+
+    Chart.types.Doughnut.extend({
+        name: "Pie",
+        defaults: helpers.merge(defaultConfig, {
+            cutoutPercentage: 0
+        })
+    });
+
+}).call(this);

src/Chart.Line.js

@@ -0,0 +1,620 @@
+(function() {
+    "use strict";
+
+    var root = this,
+        Chart = root.Chart,
+        helpers = Chart.helpers;
+
+    var defaultConfig = {
+
+        stacked: false,
+
+        hover: {
+            mode: "label"
+        },
+
+        scales: {
+            xAxes: [{
+                scaleType: "dataset", // scatter should not use a dataset axis
+                display: true,
+                position: "bottom",
+                id: "x-axis-1", // need an ID so datasets can reference the scale
+
+                // grid line settings
+                gridLines: {
+                    show: true,
+                    color: "rgba(0, 0, 0, 0.05)",
+                    lineWidth: 1,
+                    drawOnChartArea: true,
+                    drawTicks: true,
+                    zeroLineWidth: 1,
+                    zeroLineColor: "rgba(0,0,0,0.25)",
+                    offsetGridLines: false,
+                },
+
+                // label settings
+                labels: {
+                    show: true,
+                    template: "<%=value%>",
+                    fontSize: 12,
+                    fontStyle: "normal",
+                    fontColor: "#666",
+                    fontFamily: "Helvetica Neue",
+                },
+            }],
+            yAxes: [{
+                scaleType: "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",
+
+                // grid line settings
+                gridLines: {
+                    show: true,
+                    color: "rgba(0, 0, 0, 0.05)",
+                    lineWidth: 1,
+                    drawOnChartArea: true,
+                    drawTicks: true, // draw ticks extending towards the label
+                    zeroLineWidth: 1,
+                    zeroLineColor: "rgba(0,0,0,0.25)",
+                },
+
+                // scale numbers
+                beginAtZero: false,
+                override: null,
+
+                // label settings
+                labels: {
+                    show: true,
+                    template: "<%=value%>",
+                    fontSize: 12,
+                    fontStyle: "normal",
+                    fontColor: "#666",
+                    fontFamily: "Helvetica Neue",
+                }
+            }],
+        },
+    };
+
+
+    Chart.Type.extend({
+        name: "Line",
+        defaults: defaultConfig,
+        initialize: function() {
+
+            var _this = this;
+
+            // Events
+            helpers.bindEvents(this, this.options.events, this.events);
+
+            // Create a new line and its points for each dataset and piece of data
+            helpers.each(this.data.datasets, function(dataset, datasetIndex) {
+
+                dataset.metaDataset = new Chart.Line({
+                    _chart: this.chart,
+                    _datasetIndex: datasetIndex,
+                    _points: dataset.metaData,
+                });
+
+                dataset.metaData = [];
+
+                helpers.each(dataset.data, function(dataPoint, index) {
+                    dataset.metaData.push(new Chart.Point({
+                        _datasetIndex: datasetIndex,
+                        _index: index,
+                        _chart: this.chart,
+                        _model: {
+                            x: 0, //xScale.getPixelForValue(null, index, true),
+                            y: 0, //this.chartArea.bottom,
+                        },
+                    }));
+
+                }, this);
+
+                // The line chart onlty supports a single x axis because the x axis is always a dataset axis
+                dataset.xAxisID = this.options.scales.xAxes[0].id;
+
+                if (!dataset.yAxisID) {
+                    dataset.yAxisID = this.options.scales.yAxes[0].id;
+                }
+
+            }, this);
+
+            // Build and fit the scale. Needs to happen after the axis IDs have been set
+            this.buildScale();
+
+            // Create tooltip instance exclusively for this chart with some defaults.
+            this.tooltip = new Chart.Tooltip({
+                _chart: this.chart,
+                _data: this.data,
+                _options: this.options,
+            }, this);
+
+            // Need to fit scales before we reset elements. 
+            Chart.scaleService.fitScalesForChart(this, this.chart.width, this.chart.height);
+
+            // Reset so that we animation from the baseline
+            this.resetElements();
+
+            // Update that shiz
+            this.update();
+        },
+        nextPoint: function(collection, index) {
+            return collection[index + 1] || collection[index];
+        },
+        previousPoint: function(collection, index) {
+            return collection[index - 1] || collection[index];
+        },
+        resetElements: function() {
+            // Update the points
+            this.eachElement(function(point, index, dataset, datasetIndex) {
+                var xScale = this.scales[this.data.datasets[datasetIndex].xAxisID];
+                var yScale = this.scales[this.data.datasets[datasetIndex].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(point, {
+                    // Utility
+                    _chart: this.chart,
+                    _xScale: xScale,
+                    _yScale: yScale,
+                    _datasetIndex: datasetIndex,
+                    _index: index,
+
+                    // Desired view properties
+                    _model: {
+                        x: xScale.getPixelForValue(null, index, true), // value not used in dataset scale, but we want a consistent API between scales
+                        y: yScalePoint,
+
+                        // Appearance
+                        tension: point.custom && point.custom.tension ? point.custom.tension : this.options.elements.line.tension,
+                        radius: point.custom && point.custom.radius ? point.custom.pointRadius : helpers.getValueAtIndexOrDefault(this.data.datasets[datasetIndex].pointRadius, index, this.options.elements.point.radius),
+                        backgroundColor: point.custom && point.custom.backgroundColor ? point.custom.backgroundColor : helpers.getValueAtIndexOrDefault(this.data.datasets[datasetIndex].pointBackgroundColor, index, this.options.elements.point.backgroundColor),
+                        borderColor: point.custom && point.custom.borderColor ? point.custom.borderColor : helpers.getValueAtIndexOrDefault(this.data.datasets[datasetIndex].pointBorderColor, index, this.options.elements.point.borderColor),
+                        borderWidth: point.custom && point.custom.borderWidth ? point.custom.borderWidth : helpers.getValueAtIndexOrDefault(this.data.datasets[datasetIndex].pointBorderWidth, index, this.options.elements.point.borderWidth),
+                        skip: typeof this.data.datasets[datasetIndex].data[index] != 'number',
+
+                        // Tooltip
+                        hoverRadius: point.custom && point.custom.hoverRadius ? point.custom.hoverRadius : helpers.getValueAtIndexOrDefault(this.data.datasets[datasetIndex].pointHitRadius, index, this.options.elements.point.hitRadius),
+                    },
+                });
+            }, this);
+
+            // Update control points for the bezier curve
+            this.eachElement(function(point, index, dataset, datasetIndex) {
+                var controlPoints = helpers.splineCurve(
+                    this.previousPoint(dataset, index)._model,
+                    point._model,
+                    this.nextPoint(dataset, index)._model,
+                    point._model.tension
+                );
+
+                point._model.controlPointPreviousX = controlPoints.previous.x;
+                point._model.controlPointNextX = controlPoints.next.x;
+
+                // Prevent the bezier going outside of the bounds of the graph
+
+                // Cap puter bezier handles to the upper/lower scale bounds
+                if (controlPoints.next.y > this.chartArea.bottom) {
+                    point._model.controlPointNextY = this.chartArea.bottom;
+                } else if (controlPoints.next.y < this.chartArea.top) {
+                    point._model.controlPointNextY = this.chartArea.top;
+                } else {
+                    point._model.controlPointNextY = controlPoints.next.y;
+                }
+
+                // Cap inner bezier handles to the upper/lower scale bounds
+                if (controlPoints.previous.y > this.chartArea.bottom) {
+                    point._model.controlPointPreviousY = this.chartArea.bottom;
+                } else if (controlPoints.previous.y < this.chartArea.top) {
+                    point._model.controlPointPreviousY = this.chartArea.top;
+                } else {
+                    point._model.controlPointPreviousY = controlPoints.previous.y;
+                }
+
+                // Now pivot the point for animation
+                point.pivot();
+            }, this);
+        },
+        update: function() {
+
+            Chart.scaleService.fitScalesForChart(this, this.chart.width, this.chart.height);
+
+            // Update the lines
+            this.eachDataset(function(dataset, datasetIndex) {
+                var yScale = this.scales[dataset.yAxisID];
+
+                helpers.extend(dataset.metaDataset, {
+                    // Utility
+                    _scale: yScale,
+                    _datasetIndex: datasetIndex,
+                    // Data
+                    _children: dataset.metaData,
+                    // Model
+                    _model: {
+                        // Appearance
+                        tension: dataset.tension || this.options.elements.line.tension,
+                        backgroundColor: dataset.backgroundColor || this.options.elements.line.backgroundColor,
+                        borderWidth: dataset.borderWidth || this.options.elements.line.borderWidth,
+                        borderColor: dataset.borderColor || this.options.elements.line.borderColor,
+                        fill: dataset.fill !== undefined ? dataset.fill : this.options.elements.line.fill, // use the value from the dataset if it was provided. else fall back to the default
+                        skipNull: dataset.skipNull !== undefined ? dataset.skipNull : this.options.elements.line.skipNull,
+                        drawNull: dataset.drawNull !== undefined ? dataset.drawNull : this.options.elements.line.drawNull,
+                        // Scale
+                        scaleTop: yScale.top,
+                        scaleBottom: yScale.bottom,
+                        scaleZero: yScale.getPixelForValue(0),
+                    },
+                });
+
+                dataset.metaDataset.pivot();
+            });
+
+            // Update the points
+            this.eachElement(function(point, index, dataset, datasetIndex) {
+                var xScale = this.scales[this.data.datasets[datasetIndex].xAxisID];
+                var yScale = this.scales[this.data.datasets[datasetIndex].yAxisID];
+
+                helpers.extend(point, {
+                    // Utility
+                    _chart: this.chart,
+                    _xScale: xScale,
+                    _yScale: yScale,
+                    _datasetIndex: datasetIndex,
+                    _index: index,
+
+                    // Desired view properties
+                    _model: {
+                        x: xScale.getPixelForValue(null, index, true), // value not used in dataset scale, but we want a consistent API between scales
+                        y: yScale.getPointPixelForValue(this.data.datasets[datasetIndex].data[index], index, datasetIndex),
+
+                        // Appearance
+                        tension: point.custom && point.custom.tension ? point.custom.tension : this.options.elements.line.tension,
+                        radius: point.custom && point.custom.radius ? point.custom.pointRadius : helpers.getValueAtIndexOrDefault(this.data.datasets[datasetIndex].pointRadius, index, this.options.elements.point.radius),
+                        backgroundColor: point.custom && point.custom.backgroundColor ? point.custom.backgroundColor : helpers.getValueAtIndexOrDefault(this.data.datasets[datasetIndex].pointBackgroundColor, index, this.options.elements.point.backgroundColor),
+                        borderColor: point.custom && point.custom.borderColor ? point.custom.borderColor : helpers.getValueAtIndexOrDefault(this.data.datasets[datasetIndex].pointBorderColor, index, this.options.elements.point.borderColor),
+                        borderWidth: point.custom && point.custom.borderWidth ? point.custom.borderWidth : helpers.getValueAtIndexOrDefault(this.data.datasets[datasetIndex].pointBorderWidth, index, this.options.elements.point.borderWidth),
+                        skip: typeof this.data.datasets[datasetIndex].data[index] != 'number',
+
+                        // Tooltip
+                        hoverRadius: point.custom && point.custom.hoverRadius ? point.custom.hoverRadius : helpers.getValueAtIndexOrDefault(this.data.datasets[datasetIndex].pointHitRadius, index, this.options.elements.point.hitRadius),
+                    },
+                });
+            }, this);
+
+
+            // Update control points for the bezier curve
+            this.eachElement(function(point, index, dataset, datasetIndex) {
+                var controlPoints = helpers.splineCurve(
+                    this.previousPoint(dataset, index)._model,
+                    point._model,
+                    this.nextPoint(dataset, index)._model,
+                    point._model.tension
+                );
+
+                point._model.controlPointPreviousX = controlPoints.previous.x;
+                point._model.controlPointNextX = controlPoints.next.x;
+
+                // Prevent the bezier going outside of the bounds of the graph
+
+                // Cap puter bezier handles to the upper/lower scale bounds
+                if (controlPoints.next.y > this.chartArea.bottom) {
+                    point._model.controlPointNextY = this.chartArea.bottom;
+                } else if (controlPoints.next.y < this.chartArea.top) {
+                    point._model.controlPointNextY = this.chartArea.top;
+                } else {
+                    point._model.controlPointNextY = controlPoints.next.y;
+                }
+
+                // Cap inner bezier handles to the upper/lower scale bounds
+                if (controlPoints.previous.y > this.chartArea.bottom) {
+                    point._model.controlPointPreviousY = this.chartArea.bottom;
+                } else if (controlPoints.previous.y < this.chartArea.top) {
+                    point._model.controlPointPreviousY = this.chartArea.top;
+                } else {
+                    point._model.controlPointPreviousY = controlPoints.previous.y;
+                }
+
+                // Now pivot the point for animation
+                point.pivot();
+            }, this);
+
+            this.render();
+        },
+        buildScale: function() {
+            var self = this;
+
+            // Function to determine the range of all the 
+            var calculateYRange = function() {
+                this.min = null;
+                this.max = null;
+
+                var positiveValues = [];
+                var negativeValues = [];
+
+                if (self.options.stacked) {
+                    helpers.each(self.data.datasets, function(dataset) {
+                        if (dataset.yAxisID === this.id) {
+                            helpers.each(dataset.data, function(value, index) {
+                                positiveValues[index] = positiveValues[index] || 0;
+                                negativeValues[index] = negativeValues[index] || 0;
+
+                                if (self.options.relativePoints) {
+                                    positiveValues[index] = 100;
+                                } else {
+                                    if (value < 0) {
+                                        negativeValues[index] += value;
+                                    } else {
+                                        positiveValues[index] += value;
+                                    }
+                                }
+                            }, this);
+                        }
+                    }, this);
+
+                    var values = positiveValues.concat(negativeValues);
+                    this.min = helpers.min(values);
+                    this.max = helpers.max(values);
+                } else {
+                    helpers.each(self.data.datasets, function(dataset) {
+                        if (dataset.yAxisID === this.id) {
+                            helpers.each(dataset.data, function(value, index) {
+                                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);
+                }
+            };
+
+            // Map of scale ID to scale object so we can lookup later 
+            this.scales = {};
+
+            // Build the x axis. The line chart only supports a single x axis
+            var ScaleClass = Chart.scales.getScaleConstructor(this.options.scales.xAxes[0].scaleType);
+            var xScale = new ScaleClass({
+                ctx: this.chart.ctx,
+                options: this.options.scales.xAxes[0],
+                calculateRange: function() {
+                    this.labels = self.data.labels;
+                    this.min = 0;
+                    this.max = this.labels.length;
+                },
+                id: this.options.scales.xAxes[0].id,
+            });
+            this.scales[xScale.id] = xScale;
+
+            // Build up all the y scales
+            helpers.each(this.options.scales.yAxes, function(yAxisOptions) {
+                var ScaleClass = Chart.scales.getScaleConstructor(yAxisOptions.scaleType);
+                var scale = new ScaleClass({
+                    ctx: this.chart.ctx,
+                    options: yAxisOptions,
+                    calculateRange: calculateYRange,
+                    getPointPixelForValue: function(value, index, datasetIndex) {
+                        if (self.options.stacked) {
+                            var offsetPos = 0;
+                            var offsetNeg = 0;
+
+                            for (var i = 0; i < datasetIndex; ++i) {
+                                if (self.data.datasets[i].data[index] < 0) {
+                                    offsetNeg += self.data.datasets[i].data[index];
+                                } else {
+                                    offsetPos += self.data.datasets[i].data[index];
+                                }
+                            }
+
+                            if (value < 0) {
+                                return this.getPixelForValue(offsetNeg + value);
+                            } else {
+                                return this.getPixelForValue(offsetPos + value);
+                            }
+                        } else {
+                            return this.getPixelForValue(value);
+                        }
+                    },
+                    id: yAxisOptions.id,
+                });
+
+                this.scales[scale.id] = scale;
+            }, this);
+        },
+        draw: function(ease) {
+
+            var easingDecimal = ease || 1;
+            this.clear();
+
+            // Draw all the scales
+            helpers.each(this.scales, function(scale) {
+                scale.draw(this.chartArea);
+            }, this);
+
+            // reverse for-loop for proper stacking
+            for (var i = this.data.datasets.length - 1; i >= 0; i--) {
+
+                var dataset = this.data.datasets[i];
+
+                // Transition Point Locations
+                helpers.each(dataset.metaData, function(point, index) {
+                    point.transition(easingDecimal);
+                }, this);
+
+                // Transition and Draw the line
+                dataset.metaDataset.transition(easingDecimal).draw();
+
+                // Draw the points
+                helpers.each(dataset.metaData, function(point) {
+                    point.draw();
+                });
+            }
+
+            // Finally draw the tooltip
+            this.tooltip.transition(easingDecimal).draw();
+        },
+        events: function(e) {
+
+            // If exiting chart
+            if (e.type == 'mouseout') {
+                return this;
+            }
+
+            this.lastActive = this.lastActive || [];
+
+            // Find Active Elements
+            this.active = function() {
+                switch (this.options.hover.mode) {
+                    case 'single':
+                        return this.getElementAtEvent(e);
+                    case 'label':
+                        return this.getElementsAtEvent(e);
+                    case 'dataset':
+                        return this.getDatasetAtEvent(e);
+                    default:
+                        return e;
+                }
+            }.call(this);
+
+            // 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);
+                }
+            }
+
+            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':
+                        dataset = this.data.datasets[this.lastActive[0]._datasetIndex];
+                        index = this.lastActive[0]._index;
+
+                        this.lastActive[0]._model.radius = this.lastActive[0].custom && this.lastActive[0].custom.radius ? this.lastActive[0].custom.pointRadius : helpers.getValueAtIndexOrDefault(dataset.pointRadius, index, this.options.elements.point.radius);
+                        this.lastActive[0]._model.backgroundColor = this.lastActive[0].custom && this.lastActive[0].custom.backgroundColor ? this.lastActive[0].custom.backgroundColor : helpers.getValueAtIndexOrDefault(dataset.pointBackgroundColor, index, this.options.elements.point.backgroundColor);
+                        this.lastActive[0]._model.borderColor = this.lastActive[0].custom && this.lastActive[0].custom.borderColor ? this.lastActive[0].custom.borderColor : helpers.getValueAtIndexOrDefault(dataset.pointBorderColor, index, this.options.elements.point.borderColor);
+                        this.lastActive[0]._model.borderWidth = this.lastActive[0].custom && this.lastActive[0].custom.borderWidth ? this.lastActive[0].custom.borderWidth : helpers.getValueAtIndexOrDefault(dataset.pointBorderWidth, index, this.options.elements.point.borderWidth);
+                        break;
+                    case 'label':
+                        for (var i = 0; i < this.lastActive.length; i++) {
+                            dataset = this.data.datasets[this.lastActive[i]._datasetIndex];
+                            index = this.lastActive[i]._index;
+
+                            this.lastActive[i]._model.radius = this.lastActive[i].custom && this.lastActive[i].custom.radius ? this.lastActive[i].custom.pointRadius : helpers.getValueAtIndexOrDefault(dataset.pointRadius, index, this.options.elements.point.radius);
+                            this.lastActive[i]._model.backgroundColor = this.lastActive[i].custom && this.lastActive[i].custom.backgroundColor ? this.lastActive[i].custom.backgroundColor : helpers.getValueAtIndexOrDefault(dataset.pointBackgroundColor, index, this.options.elements.point.backgroundColor);
+                            this.lastActive[i]._model.borderColor = this.lastActive[i].custom && this.lastActive[i].custom.borderColor ? this.lastActive[i].custom.borderColor : helpers.getValueAtIndexOrDefault(dataset.pointBorderColor, index, this.options.elements.point.borderColor);
+                            this.lastActive[i]._model.borderWidth = this.lastActive[i].custom && this.lastActive[i].custom.borderWidth ? this.lastActive[i].custom.borderWidth : helpers.getValueAtIndexOrDefault(dataset.pointBorderWidth, index, this.options.elements.point.borderWidth);
+                        }
+                        break;
+                    case 'dataset':
+                        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':
+                        dataset = this.data.datasets[this.active[0]._datasetIndex];
+                        index = this.active[0]._index;
+
+                        this.active[0]._model.radius = this.active[0].custom && this.active[0].custom.hoverRadius ? this.active[0].custom.hoverRadius : helpers.getValueAtIndexOrDefault(dataset.pointHoverRadius, index, this.active[0]._model.radius + 2);
+                        this.active[0]._model.backgroundColor = this.active[0].custom && this.active[0].custom.hoverBackgroundColor ? this.active[0].custom.hoverBackgroundColor : helpers.getValueAtIndexOrDefault(dataset.pointHoverBackgroundColor, index, helpers.color(this.active[0]._model.backgroundColor).saturate(0.5).darken(0.35).rgbString());
+                        this.active[0]._model.borderColor = this.active[0].custom && this.active[0].custom.hoverBorderColor ? this.active[0].custom.hoverBorderColor : helpers.getValueAtIndexOrDefault(dataset.pointHoverBorderColor, index, helpers.color(this.active[0]._model.borderColor).saturate(0.5).darken(0.35).rgbString());
+                        this.active[0]._model.borderWidth = this.active[0].custom && this.active[0].custom.hoverBorderWidth ? this.active[0].custom.hoverBorderWidth : helpers.getValueAtIndexOrDefault(dataset.pointBorderWidth, index, this.active[0]._model.borderWidth + 2);
+                        break;
+                    case 'label':
+                        for (var i = 0; i < this.active.length; i++) {
+                            dataset = this.data.datasets[this.active[i]._datasetIndex];
+                            index = this.active[i]._index;
+
+                            this.active[i]._model.radius = this.active[i].custom && this.active[i].custom.hoverRadius ? this.active[i].custom.hoverRadius : helpers.getValueAtIndexOrDefault(dataset.pointHoverRadius, index, this.active[i]._model.radius + 2);
+                            this.active[i]._model.backgroundColor = this.active[i].custom && this.active[i].custom.hoverBackgroundColor ? this.active[i].custom.hoverBackgroundColor : helpers.getValueAtIndexOrDefault(dataset.pointHoverBackgroundColor, index, helpers.color(this.active[i]._model.backgroundColor).saturate(0.5).darken(0.35).rgbString());
+                            this.active[i]._model.borderColor = this.active[i].custom && this.active[i].custom.hoverBorderColor ? this.active[i].custom.hoverBorderColor : helpers.getValueAtIndexOrDefault(dataset.pointHoverBorderColor, index, helpers.color(this.active[i]._model.borderColor).saturate(0.5).darken(0.35).rgbString());
+                            this.active[i]._model.borderWidth = this.active[i].custom && this.active[i].custom.hoverBorderWidth ? this.active[i].custom.hoverBorderWidth : helpers.getValueAtIndexOrDefault(dataset.pointBorderWidth, index, this.active[i]._model.borderWidth + 2);
+                        }
+                        break;
+                    case 'dataset':
+                        break;
+                    default:
+                        // Don't change anything
+                }
+            }
+
+
+            // Built in Tooltips
+            if (this.options.tooltips.enabled) {
+
+                // The usual updates
+                this.tooltip.initialize();
+
+                // Active
+                if (this.active.length) {
+                    this.tooltip._model.opacity = 1;
+
+                    helpers.extend(this.tooltip, {
+                        _active: this.active,
+                    });
+
+                    this.tooltip.update();
+                } else {
+                    // Inactive
+                    this.tooltip._model.opacity = 0;
+                }
+            }
+
+
+            // 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);
+
+                // If entering, leaving, or changing elements, animate the change via pivot
+                if ((!this.lastActive.length && this.active.length) ||
+                    (this.lastActive.length && !this.active.length) ||
+                    (this.lastActive.length && this.active.length && changed)) {
+
+                    this.stop();
+                    this.render(this.options.hover.animationDuration);
+                }
+            }
+
+            // Remember Last Active
+            this.lastActive = this.active;
+            return this;
+        },
+    });
+
+
+}).call(this);

src/Chart.PolarArea.js

@@ -0,0 +1,403 @@
+(function() {
+    "use strict";
+
+    var root = this,
+        Chart = root.Chart,
+        //Cache a local reference to Chart.helpers
+        helpers = Chart.helpers;
+
+    var defaultConfig = {
+
+        scale: {
+            scaleType: "radialLinear",
+            display: true,
+
+            //Boolean - Whether to animate scaling the chart from the centre
+            animate: false,
+
+            lineArc: true,
+
+            // grid line settings
+            gridLines: {
+                show: true,
+                color: "rgba(0, 0, 0, 0.05)",
+                lineWidth: 1,
+            },
+
+            // scale numbers
+            beginAtZero: true,
+
+            // label settings
+            labels: {
+                show: true,
+                template: "<%=value%>",
+                fontSize: 12,
+                fontStyle: "normal",
+                fontColor: "#666",
+                fontFamily: "Helvetica Neue",
+
+                //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,
+            }
+        },
+
+        //Boolean - Whether to animate the rotation of the chart
+        animateRotate: true,
+    };
+
+
+    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() {
+
+            // Scale setup
+            var self = this;
+            var ScaleClass = Chart.scales.getScaleConstructor(this.options.scale.scaleType);
+            this.scale = new ScaleClass({
+                options: this.options.scale,
+                lineArc: true,
+                width: this.chart.width,
+                height: this.chart.height,
+                xCenter: this.chart.width / 2,
+                yCenter: this.chart.height / 2,
+                ctx: this.chart.ctx,
+                valuesCount: this.data.length,
+                calculateRange: function() {
+                    this.min = null;
+                    this.max = null;
+
+                    helpers.each(self.data.datasets[0].data, function(value) {
+                        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);
+                }
+            });
+
+            helpers.bindEvents(this, this.options.events, this.events);
+
+            //Set up tooltip events on the chart
+            helpers.bindEvents(this, this.options.events, this.events);
+
+            //Create a new bar for each piece of data
+            helpers.each(this.data.datasets, function(dataset, datasetIndex) {
+                dataset.metaData = [];
+                helpers.each(dataset.data, function(dataPoint, index) {
+                    dataset.metaData.push(new Chart.Arc({
+                        _chart: this.chart,
+                        _datasetIndex: datasetIndex,
+                        _index: index,
+                        _model: {}
+                    }));
+                }, this);
+            }, this);
+
+            // Create tooltip instance exclusively for this chart with some defaults.
+            this.tooltip = new Chart.Tooltip({
+                _chart: this.chart,
+                _data: this.data,
+                _options: this.options,
+            }, this);
+
+            // Fit the scale before we animate
+            this.updateScaleRange();
+            this.scale.calculateRange();
+            Chart.scaleService.fitScalesForChart(this, this.chart.width, this.chart.height);
+
+            // so that we animate nicely
+            this.resetElements();
+
+            // Update the chart with the latest data.
+            this.update();
+
+        },
+        updateScaleRange: function() {
+            helpers.extend(this.scale, {
+                size: helpers.min([this.chart.width, this.chart.height]),
+                xCenter: this.chart.width / 2,
+                yCenter: this.chart.height / 2
+            });
+        },
+        resetElements: function() {
+            var circumference = 1 / this.data.datasets[0].data.length * 2;
+
+            // Map new data to data points
+            helpers.each(this.data.datasets[0].metaData, function(slice, index) {
+
+                var value = this.data.datasets[0].data[index];
+
+                var startAngle = Math.PI * 1.5 + (Math.PI * circumference) * index;
+                var endAngle = startAngle + (circumference * Math.PI);
+
+                helpers.extend(slice, {
+                    _index: index,
+                    _model: {
+                        x: this.chart.width / 2,
+                        y: this.chart.height / 2,
+                        innerRadius: 0,
+                        outerRadius: 0,
+                        startAngle: Math.PI * 1.5,
+                        endAngle: Math.PI * 1.5,
+
+                        backgroundColor: slice.custom && slice.custom.backgroundColor ? slice.custom.backgroundColor : helpers.getValueAtIndexOrDefault(this.data.datasets[0].backgroundColor, index, this.options.elements.slice.backgroundColor),
+                        hoverBackgroundColor: slice.custom && slice.custom.hoverBackgroundColor ? slice.custom.hoverBackgroundColor : helpers.getValueAtIndexOrDefault(this.data.datasets[0].hoverBackgroundColor, index, this.options.elements.slice.hoverBackgroundColor),
+                        borderWidth: slice.custom && slice.custom.borderWidth ? slice.custom.borderWidth : helpers.getValueAtIndexOrDefault(this.data.datasets[0].borderWidth, index, this.options.elements.slice.borderWidth),
+                        borderColor: slice.custom && slice.custom.borderColor ? slice.custom.borderColor : helpers.getValueAtIndexOrDefault(this.data.datasets[0].borderColor, index, this.options.elements.slice.borderColor),
+
+                        label: helpers.getValueAtIndexOrDefault(this.data.datasets[0].labels, index, this.data.datasets[0].labels[index])
+                    },
+                });
+
+                slice.pivot();
+            }, this);
+        },
+        update: function() {
+
+            this.updateScaleRange();
+            this.scale.calculateRange();
+            this.scale.generateTicks();
+            this.scale.buildYLabels();
+
+            Chart.scaleService.fitScalesForChart(this, this.chart.width, this.chart.height);
+
+            var circumference = 1 / this.data.datasets[0].data.length * 2;
+
+            // Map new data to data points
+            helpers.each(this.data.datasets[0].metaData, function(slice, index) {
+
+                var value = this.data.datasets[0].data[index];
+
+                var startAngle = Math.PI * 1.5 + (Math.PI * circumference) * index;
+                var endAngle = startAngle + (circumference * Math.PI);
+
+                helpers.extend(slice, {
+                    _index: index,
+                    _model: {
+                        x: this.chart.width / 2,
+                        y: this.chart.height / 2,
+                        innerRadius: 0,
+                        outerRadius: this.scale.calculateCenterOffset(value),
+                        startAngle: startAngle,
+                        endAngle: endAngle,
+
+                        backgroundColor: slice.custom && slice.custom.backgroundColor ? slice.custom.backgroundColor : helpers.getValueAtIndexOrDefault(this.data.datasets[0].backgroundColor, index, this.options.elements.slice.backgroundColor),
+                        hoverBackgroundColor: slice.custom && slice.custom.hoverBackgroundColor ? slice.custom.hoverBackgroundColor : helpers.getValueAtIndexOrDefault(this.data.datasets[0].hoverBackgroundColor, index, this.options.elements.slice.hoverBackgroundColor),
+                        borderWidth: slice.custom && slice.custom.borderWidth ? slice.custom.borderWidth : helpers.getValueAtIndexOrDefault(this.data.datasets[0].borderWidth, index, this.options.elements.slice.borderWidth),
+                        borderColor: slice.custom && slice.custom.borderColor ? slice.custom.borderColor : helpers.getValueAtIndexOrDefault(this.data.datasets[0].borderColor, index, this.options.elements.slice.borderColor),
+
+                        label: helpers.getValueAtIndexOrDefault(this.data.datasets[0].labels, index, this.data.datasets[0].labels[index])
+                    },
+                });
+                slice.pivot();
+
+                console.log(slice);
+
+            }, this);
+
+            this.render();
+        },
+        draw: function(ease) {
+            var easingDecimal = ease || 1;
+
+            this.clear();
+
+            helpers.each(this.data.datasets[0].metaData, function(slice, index) {
+                slice.transition(easingDecimal).draw();
+            }, this);
+
+            this.scale.draw();
+
+            this.tooltip.transition(easingDecimal).draw();
+        },
+        events: function(e) {
+
+            // If exiting chart
+            if (e.type == 'mouseout') {
+                return this;
+            }
+
+            this.lastActive = this.lastActive || [];
+
+            // Find Active Elements
+            this.active = function() {
+                switch (this.options.hover.mode) {
+                    case 'single':
+                        return this.getSliceAtEvent(e);
+                    case 'label':
+                        return this.getSlicesAtEvent(e);
+                    case 'dataset':
+                        return this.getDatasetAtEvent(e);
+                    default:
+                        return e;
+                }
+            }.call(this);
+
+            // 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);
+                }
+            }
+
+            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':
+                        dataset = this.data.datasets[this.lastActive[0]._datasetIndex];
+                        index = this.lastActive[0]._index;
+
+                        this.lastActive[0]._model.backgroundColor = this.lastActive[0].custom && this.lastActive[0].custom.backgroundColor ? this.lastActive[0].custom.backgroundColor : helpers.getValueAtIndexOrDefault(dataset.backgroundColor, index, this.options.elements.slice.backgroundColor);
+                        this.lastActive[0]._model.borderColor = this.lastActive[0].custom && this.lastActive[0].custom.borderColor ? this.lastActive[0].custom.borderColor : helpers.getValueAtIndexOrDefault(dataset.borderColor, index, this.options.elements.slice.borderColor);
+                        this.lastActive[0]._model.borderWidth = this.lastActive[0].custom && this.lastActive[0].custom.borderWidth ? this.lastActive[0].custom.borderWidth : helpers.getValueAtIndexOrDefault(dataset.borderWidth, index, this.options.elements.slice.borderWidth);
+                        break;
+                    case 'label':
+                        for (var i = 0; i < this.lastActive.length; i++) {
+                            dataset = this.data.datasets[this.lastActive[i]._datasetIndex];
+                            index = this.lastActive[i]._index;
+
+                            this.lastActive[i]._model.backgroundColor = this.lastActive[i].custom && this.lastActive[i].custom.backgroundColor ? this.lastActive[i].custom.backgroundColor : helpers.getValueAtIndexOrDefault(dataset.backgroundColor, index, this.options.elements.slice.backgroundColor);
+                            this.lastActive[i]._model.borderColor = this.lastActive[i].custom && this.lastActive[i].custom.borderColor ? this.lastActive[i].custom.borderColor : helpers.getValueAtIndexOrDefault(dataset.borderColor, index, this.options.elements.slice.borderColor);
+                            this.lastActive[i]._model.borderWidth = this.lastActive[i].custom && this.lastActive[i].custom.borderWidth ? this.lastActive[i].custom.borderWidth : helpers.getValueAtIndexOrDefault(dataset.borderWidth, index, this.options.elements.slice.borderWidth);
+                        }
+                        break;
+                    case 'dataset':
+                        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':
+                        dataset = this.data.datasets[this.active[0]._datasetIndex];
+                        index = this.active[0]._index;
+
+                        this.active[0]._model.radius = this.active[0].custom && this.active[0].custom.hoverRadius ? this.active[0].custom.hoverRadius : helpers.getValueAtIndexOrDefault(dataset.pointHoverRadius, index, this.active[0]._model.radius + 2);
+                        this.active[0]._model.backgroundColor = this.active[0].custom && this.active[0].custom.hoverBackgroundColor ? this.active[0].custom.hoverBackgroundColor : helpers.getValueAtIndexOrDefault(dataset.pointHoverBackgroundColor, index, helpers.color(this.active[0]._model.backgroundColor).saturate(0.5).darken(0.35).rgbString());
+                        this.active[0]._model.borderColor = this.active[0].custom && this.active[0].custom.hoverBorderColor ? this.active[0].custom.hoverBorderColor : helpers.getValueAtIndexOrDefault(dataset.pointHoverBorderColor, index, helpers.color(this.active[0]._model.borderColor).saturate(0.5).darken(0.35).rgbString());
+                        this.active[0]._model.borderWidth = this.active[0].custom && this.active[0].custom.hoverBorderWidth ? this.active[0].custom.hoverBorderWidth : helpers.getValueAtIndexOrDefault(dataset.pointBorderWidth, index, this.active[0]._model.borderWidth + 2);
+                        break;
+                    case 'label':
+                        for (var i = 0; i < this.active.length; i++) {
+                            dataset = this.data.datasets[this.active[i]._datasetIndex];
+                            index = this.active[i]._index;
+
+                            this.active[i]._model.radius = this.active[i].custom && this.active[i].custom.hoverRadius ? this.active[i].custom.hoverRadius : helpers.getValueAtIndexOrDefault(dataset.pointHoverRadius, index, this.active[i]._model.radius + 2);
+                            this.active[i]._model.backgroundColor = this.active[i].custom && this.active[i].custom.hoverBackgroundColor ? this.active[i].custom.hoverBackgroundColor : helpers.getValueAtIndexOrDefault(dataset.pointHoverBackgroundColor, index, helpers.color(this.active[i]._model.backgroundColor).saturate(0.5).darken(0.35).rgbString());
+                            this.active[i]._model.borderColor = this.active[i].custom && this.active[i].custom.hoverBorderColor ? this.active[i].custom.hoverBorderColor : helpers.getValueAtIndexOrDefault(dataset.pointHoverBorderColor, index, helpers.color(this.active[i]._model.borderColor).saturate(0.5).darken(0.35).rgbString());
+                            this.active[i]._model.borderWidth = this.active[i].custom && this.active[i].custom.hoverBorderWidth ? this.active[i].custom.hoverBorderWidth : helpers.getValueAtIndexOrDefault(dataset.pointBorderWidth, index, this.active[i]._model.borderWidth + 2);
+                        }
+                        break;
+                    case 'dataset':
+                        break;
+                    default:
+                        // Don't change anything
+                }
+            }
+
+
+            // Built in Tooltips
+            if (this.options.tooltips.enabled) {
+
+                // The usual updates
+                this.tooltip.initialize();
+
+                // Active
+                if (this.active.length) {
+                    this.tooltip._model.opacity = 1;
+
+                    helpers.extend(this.tooltip, {
+                        _active: this.active,
+                    });
+
+                    this.tooltip.update();
+                } else {
+                    // Inactive
+                    this.tooltip._model.opacity = 0;
+                }
+            }
+
+
+            // 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);
+
+                // If entering, leaving, or changing elements, animate the change via pivot
+                if ((!this.lastActive.length && this.active.length) ||
+                    (this.lastActive.length && !this.active.length) ||
+                    (this.lastActive.length && this.active.length && changed)) {
+
+                    this.stop();
+                    this.render(this.options.hover.animationDuration);
+                }
+            }
+
+            // Remember Last Active
+            this.lastActive = this.active;
+            return this;
+        },
+        getSliceAtEvent: function(e) {
+            var elements = [];
+
+            var location = helpers.getRelativePosition(e);
+
+            this.eachElement(function(slice, index) {
+                if (slice.inRange(location.x, location.y)) {
+                    elements.push(slice);
+                }
+            }, this);
+            return elements;
+        },
+        /*getSlicesAtEvent: function(e) {
+            var elements = [];
+
+            var location = helpers.getRelativePosition(e);
+
+            this.eachElement(function(slice, index) {
+                if (slice.inGroupRange(location.x, location.y)) {
+                    elements.push(slice);
+                }
+            }, this);
+            return elements;
+        },*/
+    });
+
+}).call(this);

src/Chart.Radar.js

@@ -0,0 +1,506 @@
+(function() {
+    "use strict";
+
+    var root = this,
+        Chart = root.Chart,
+        helpers = Chart.helpers;
+
+
+
+    Chart.Type.extend({
+        name: "Radar",
+        defaults: {
+
+            scale: {
+                scaleType: "radialLinear",
+                display: true,
+
+                //Boolean - Whether to animate scaling the chart from the centre
+                animate: false,
+
+                lineArc: false,
+
+                // grid line settings
+                gridLines: {
+                    show: true,
+                    color: "rgba(0, 0, 0, 0.05)",
+                    lineWidth: 1,
+                },
+
+                angleLines: {
+                    show: true,
+                    color: "rgba(0,0,0,.1)",
+                    lineWidth: 1
+                },
+
+                // scale numbers
+                beginAtZero: true,
+
+                // label settings
+                labels: {
+                    show: true,
+                    template: "<%=value%>",
+                    fontSize: 12,
+                    fontStyle: "normal",
+                    fontColor: "#666",
+                    fontFamily: "Helvetica Neue",
+
+                    //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",
+                },
+            },
+
+            elements: {
+                line: {
+                    tension: 0, // no bezier in radar
+                }
+            },
+
+            //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() {
+            // Events
+            helpers.bindEvents(this, this.options.events, this.events);
+
+            // Create a new line and its points for each dataset and piece of data
+            helpers.each(this.data.datasets, function(dataset, datasetIndex) {
+
+                dataset.metaDataset = new Chart.Line({
+                    _chart: this.chart,
+                    _datasetIndex: datasetIndex,
+                    _points: dataset.metaData,
+                    _loop: true
+                });
+
+                dataset.metaData = [];
+
+                helpers.each(dataset.data, function(dataPoint, index) {
+                    dataset.metaData.push(new Chart.Point({
+                        _datasetIndex: datasetIndex,
+                        _index: index,
+                        _chart: this.chart,
+                        _model: {
+                            x: 0, //xScale.getPixelForValue(null, index, true),
+                            y: 0, //this.chartArea.bottom,
+                        },
+                    }));
+
+                }, this);
+            }, this);
+
+            // Build the scale.
+            this.buildScale();
+
+            // Create tooltip instance exclusively for this chart with some defaults.
+            this.tooltip = new Chart.Tooltip({
+                _chart: this.chart,
+                _data: this.data,
+                _options: this.options,
+            }, this);
+
+            // Need to fit scales before we reset elements. 
+            Chart.scaleService.fitScalesForChart(this, this.chart.width, this.chart.height);
+
+            // Reset so that we animation from the baseline
+            this.resetElements();
+
+            // Update that shiz
+            this.update();
+        },
+        nextPoint: function(collection, index) {
+            return collection[index + 1] || collection[0];
+        },
+        previousPoint: function(collection, index) {
+            return collection[index - 1] || collection[collection.length - 1];
+        },
+        resetElements: function() {
+
+            // Update the points
+            this.eachElement(function(point, index, dataset, datasetIndex) {
+                helpers.extend(point, {
+                    // Utility
+                    _chart: this.chart,
+                    _datasetIndex: datasetIndex,
+                    _index: index,
+                    _scale: this.scale,
+
+                    // Desired view properties
+                    _model: {
+                        x: this.scale.xCenter,
+                        y: this.scale.yCenter,
+
+                        // Appearance
+                        tension: point.custom && point.custom.tension ? point.custom.tension : this.options.elements.line.tension,
+                        radius: point.custom && point.custom.radius ? point.custom.pointRadius : helpers.getValueAtIndexOrDefault(this.data.datasets[datasetIndex].pointRadius, index, this.options.elements.point.radius),
+                        backgroundColor: point.custom && point.custom.backgroundColor ? point.custom.backgroundColor : helpers.getValueAtIndexOrDefault(this.data.datasets[datasetIndex].pointBackgroundColor, index, this.options.elements.point.backgroundColor),
+                        borderColor: point.custom && point.custom.borderColor ? point.custom.borderColor : helpers.getValueAtIndexOrDefault(this.data.datasets[datasetIndex].pointBorderColor, index, this.options.elements.point.borderColor),
+                        borderWidth: point.custom && point.custom.borderWidth ? point.custom.borderWidth : helpers.getValueAtIndexOrDefault(this.data.datasets[datasetIndex].pointBorderWidth, index, this.options.elements.point.borderWidth),
+                        skip: typeof this.data.datasets[datasetIndex].data[index] != 'number',
+
+                        // Tooltip
+                        hoverRadius: point.custom && point.custom.hoverRadius ? point.custom.hoverRadius : helpers.getValueAtIndexOrDefault(this.data.datasets[datasetIndex].pointHitRadius, index, this.options.elements.point.hitRadius),
+                    },
+                });
+            }, this);
+
+            // Update control points for the bezier curve
+            this.eachElement(function(point, index, dataset, datasetIndex) {
+                var controlPoints = helpers.splineCurve(
+                    this.previousPoint(dataset, index)._model,
+                    point._model,
+                    this.nextPoint(dataset, index)._model,
+                    point._model.tension
+                );
+
+                point._model.controlPointPreviousX = this.scale.xCenter;
+                point._model.controlPointPreviousY = this.scale.yCenter;
+                point._model.controlPointNextX = this.scale.xCenter;
+                point._model.controlPointNextY = this.scale.yCenter;
+
+                // Now pivot the point for animation
+                point.pivot();
+            }, this);
+        },
+        update: function() {
+            Chart.scaleService.fitScalesForChart(this, this.chart.width, this.chart.height);
+
+            // Update the lines
+            this.eachDataset(function(dataset, datasetIndex) {
+                helpers.extend(dataset.metaDataset, {
+                    // Utility
+                    _datasetIndex: datasetIndex,
+
+                    // Data
+                    _children: dataset.metaData,
+
+                    // Model
+                    _model: {
+                        // Appearance
+                        tension: dataset.tension || this.options.elements.line.tension,
+                        backgroundColor: dataset.backgroundColor || this.options.elements.line.backgroundColor,
+                        borderWidth: dataset.borderWidth || this.options.elements.line.borderWidth,
+                        borderColor: dataset.borderColor || this.options.elements.line.borderColor,
+                        fill: dataset.fill !== undefined ? dataset.fill : this.options.elements.line.fill, // use the value from the dataset if it was provided. else fall back to the default
+                        skipNull: dataset.skipNull !== undefined ? dataset.skipNull : this.options.elements.line.skipNull,
+                        drawNull: dataset.drawNull !== undefined ? dataset.drawNull : this.options.elements.line.drawNull,
+
+                        // Scale
+                        scaleTop: this.scale.top,
+                        scaleBottom: this.scale.bottom,
+                        scaleZero: this.scale.getPointPosition(0),
+                    },
+                });
+
+                dataset.metaDataset.pivot();
+            });
+
+            // Update the points
+            this.eachElement(function(point, index, dataset, datasetIndex) {
+                var pointPosition = this.scale.getPointPosition(index, this.scale.calculateCenterOffset(this.data.datasets[datasetIndex].data[index]));
+
+                helpers.extend(point, {
+                    // Utility
+                    _chart: this.chart,
+                    _datasetIndex: datasetIndex,
+                    _index: index,
+
+                    // Desired view properties
+                    _model: {
+                        x: pointPosition.x, // value not used in dataset scale, but we want a consistent API between scales
+                        y: pointPosition.y,
+
+                        // Appearance
+                        tension: point.custom && point.custom.tension ? point.custom.tension : this.options.elements.line.tension,
+                        radius: point.custom && point.custom.radius ? point.custom.pointRadius : helpers.getValueAtIndexOrDefault(this.data.datasets[datasetIndex].pointRadius, index, this.options.elements.point.radius),
+                        backgroundColor: point.custom && point.custom.backgroundColor ? point.custom.backgroundColor : helpers.getValueAtIndexOrDefault(this.data.datasets[datasetIndex].pointBackgroundColor, index, this.options.elements.point.backgroundColor),
+                        borderColor: point.custom && point.custom.borderColor ? point.custom.borderColor : helpers.getValueAtIndexOrDefault(this.data.datasets[datasetIndex].pointBorderColor, index, this.options.elements.point.borderColor),
+                        borderWidth: point.custom && point.custom.borderWidth ? point.custom.borderWidth : helpers.getValueAtIndexOrDefault(this.data.datasets[datasetIndex].pointBorderWidth, index, this.options.elements.point.borderWidth),
+                        skip: typeof this.data.datasets[datasetIndex].data[index] != 'number',
+
+                        // Tooltip
+                        hoverRadius: point.custom && point.custom.hoverRadius ? point.custom.hoverRadius : helpers.getValueAtIndexOrDefault(this.data.datasets[datasetIndex].pointHitRadius, index, this.options.elements.point.hitRadius),
+                    },
+                });
+            }, this);
+
+
+            // Update control points for the bezier curve
+            this.eachElement(function(point, index, dataset, datasetIndex) {
+                var controlPoints = helpers.splineCurve(
+                    this.previousPoint(dataset, index)._model,
+                    point._model,
+                    this.nextPoint(dataset, index)._model,
+                    point._model.tension
+                );
+
+                point._model.controlPointPreviousX = controlPoints.previous.x;
+                point._model.controlPointNextX = controlPoints.next.x;
+
+                // Prevent the bezier going outside of the bounds of the graph
+
+                // Cap puter bezier handles to the upper/lower scale bounds
+                if (controlPoints.next.y > this.chartArea.bottom) {
+                    point._model.controlPointNextY = this.chartArea.bottom;
+                } else if (controlPoints.next.y < this.chartArea.top) {
+                    point._model.controlPointNextY = this.chartArea.top;
+                } else {
+                    point._model.controlPointNextY = controlPoints.next.y;
+                }
+
+                // Cap inner bezier handles to the upper/lower scale bounds
+                if (controlPoints.previous.y > this.chartArea.bottom) {
+                    point._model.controlPointPreviousY = this.chartArea.bottom;
+                } else if (controlPoints.previous.y < this.chartArea.top) {
+                    point._model.controlPointPreviousY = this.chartArea.top;
+                } else {
+                    point._model.controlPointPreviousY = controlPoints.previous.y;
+                }
+
+                // Now pivot the point for animation
+                point.pivot();
+            }, this);
+
+            this.render();
+        },
+        buildScale: function() {
+            var self = this;
+
+            var ScaleConstructor = Chart.scales.getScaleConstructor(this.options.scale.scaleType);
+            this.scale = new ScaleConstructor({
+                options: this.options.scale,
+                height: this.chart.height,
+                width: this.chart.width,
+                xCenter: this.chart.width / 2,
+                yCenter: this.chart.height / 2,
+                ctx: this.chart.ctx,
+                labels: this.data.labels,
+                valuesCount: this.data.datasets[0].data.length,
+                calculateRange: function() {
+                    this.min = null;
+                    this.max = null;
+
+                    helpers.each(self.data.datasets, function(dataset) {
+                        if (dataset.yAxisID === this.id) {
+                            helpers.each(dataset.data, function(value, index) {
+                                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.scale.setScaleSize();
+            this.scale.calculateRange();
+            this.scale.generateTicks();
+            this.scale.buildYLabels();
+        },
+        draw: function(ease) {
+            var easingDecimal = ease || 1;
+            this.clear();
+
+            // Draw all the scales
+            this.scale.draw(this.chartArea);
+
+            // reverse for-loop for proper stacking
+            for (var i = this.data.datasets.length - 1; i >= 0; i--) {
+
+                var dataset = this.data.datasets[i];
+
+                // Transition Point Locations
+                helpers.each(dataset.metaData, function(point, index) {
+                    point.transition(easingDecimal);
+                }, this);
+
+                // Transition and Draw the line
+                dataset.metaDataset.transition(easingDecimal).draw();
+
+                // Draw the points
+                helpers.each(dataset.metaData, function(point) {
+                    point.draw();
+                });
+            }
+
+            // Finally draw the tooltip
+            this.tooltip.transition(easingDecimal).draw();
+        },
+        events: function(e) {
+
+            // If exiting chart
+            if (e.type == 'mouseout') {
+                return this;
+            }
+
+            this.lastActive = this.lastActive || [];
+
+            // Find Active Elements
+            this.active = function() {
+                switch (this.options.hover.mode) {
+                    case 'single':
+                        return this.getElementAtEvent(e);
+                    case 'label':
+                        return this.getElementsAtEvent(e);
+                    case 'dataset':
+                        return this.getDatasetAtEvent(e);
+                    default:
+                        return e;
+                }
+            }.call(this);
+
+            // 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);
+                }
+            }
+
+            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':
+                        dataset = this.data.datasets[this.lastActive[0]._datasetIndex];
+                        index = this.lastActive[0]._index;
+
+                        this.lastActive[0]._model.radius = this.lastActive[0].custom && this.lastActive[0].custom.radius ? this.lastActive[0].custom.pointRadius : helpers.getValueAtIndexOrDefault(dataset.pointRadius, index, this.options.elements.point.radius);
+                        this.lastActive[0]._model.backgroundColor = this.lastActive[0].custom && this.lastActive[0].custom.backgroundColor ? this.lastActive[0].custom.backgroundColor : helpers.getValueAtIndexOrDefault(dataset.pointBackgroundColor, index, this.options.elements.point.backgroundColor);
+                        this.lastActive[0]._model.borderColor = this.lastActive[0].custom && this.lastActive[0].custom.borderColor ? this.lastActive[0].custom.borderColor : helpers.getValueAtIndexOrDefault(dataset.pointBorderColor, index, this.options.elements.point.borderColor);
+                        this.lastActive[0]._model.borderWidth = this.lastActive[0].custom && this.lastActive[0].custom.borderWidth ? this.lastActive[0].custom.borderWidth : helpers.getValueAtIndexOrDefault(dataset.pointBorderWidth, index, this.options.elements.point.borderWidth);
+                        break;
+                    case 'label':
+                        for (var i = 0; i < this.lastActive.length; i++) {
+                            dataset = this.data.datasets[this.lastActive[i]._datasetIndex];
+                            index = this.lastActive[i]._index;
+
+                            this.lastActive[i]._model.radius = this.lastActive[i].custom && this.lastActive[i].custom.radius ? this.lastActive[i].custom.pointRadius : helpers.getValueAtIndexOrDefault(dataset.pointRadius, index, this.options.elements.point.radius);
+                            this.lastActive[i]._model.backgroundColor = this.lastActive[i].custom && this.lastActive[i].custom.backgroundColor ? this.lastActive[i].custom.backgroundColor : helpers.getValueAtIndexOrDefault(dataset.pointBackgroundColor, index, this.options.elements.point.backgroundColor);
+                            this.lastActive[i]._model.borderColor = this.lastActive[i].custom && this.lastActive[i].custom.borderColor ? this.lastActive[i].custom.borderColor : helpers.getValueAtIndexOrDefault(dataset.pointBorderColor, index, this.options.elements.point.borderColor);
+                            this.lastActive[i]._model.borderWidth = this.lastActive[i].custom && this.lastActive[i].custom.borderWidth ? this.lastActive[i].custom.borderWidth : helpers.getValueAtIndexOrDefault(dataset.pointBorderWidth, index, this.options.elements.point.borderWidth);
+                        }
+                        break;
+                    case 'dataset':
+                        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':
+                        dataset = this.data.datasets[this.active[0]._datasetIndex];
+                        index = this.active[0]._index;
+
+                        this.active[0]._model.radius = this.active[0].custom && this.active[0].custom.hoverRadius ? this.active[0].custom.hoverRadius : helpers.getValueAtIndexOrDefault(dataset.pointHoverRadius, index, this.active[0]._model.radius + 2);
+                        this.active[0]._model.backgroundColor = this.active[0].custom && this.active[0].custom.hoverBackgroundColor ? this.active[0].custom.hoverBackgroundColor : helpers.getValueAtIndexOrDefault(dataset.pointHoverBackgroundColor, index, helpers.color(this.active[0]._model.backgroundColor).saturate(0.5).darken(0.35).rgbString());
+                        this.active[0]._model.borderColor = this.active[0].custom && this.active[0].custom.hoverBorderColor ? this.active[0].custom.hoverBorderColor : helpers.getValueAtIndexOrDefault(dataset.pointHoverBorderColor, index, helpers.color(this.active[0]._model.borderColor).saturate(0.5).darken(0.35).rgbString());
+                        this.active[0]._model.borderWidth = this.active[0].custom && this.active[0].custom.hoverBorderWidth ? this.active[0].custom.hoverBorderWidth : helpers.getValueAtIndexOrDefault(dataset.pointBorderWidth, index, this.active[0]._model.borderWidth + 2);
+                        break;
+                    case 'label':
+                        for (var i = 0; i < this.active.length; i++) {
+                            dataset = this.data.datasets[this.active[i]._datasetIndex];
+                            index = this.active[i]._index;
+
+                            this.active[i]._model.radius = this.active[i].custom && this.active[i].custom.hoverRadius ? this.active[i].custom.hoverRadius : helpers.getValueAtIndexOrDefault(dataset.pointHoverRadius, index, this.active[i]._model.radius + 2);
+                            this.active[i]._model.backgroundColor = this.active[i].custom && this.active[i].custom.hoverBackgroundColor ? this.active[i].custom.hoverBackgroundColor : helpers.getValueAtIndexOrDefault(dataset.pointHoverBackgroundColor, index, helpers.color(this.active[i]._model.backgroundColor).saturate(0.5).darken(0.35).rgbString());
+                            this.active[i]._model.borderColor = this.active[i].custom && this.active[i].custom.hoverBorderColor ? this.active[i].custom.hoverBorderColor : helpers.getValueAtIndexOrDefault(dataset.pointHoverBorderColor, index, helpers.color(this.active[i]._model.borderColor).saturate(0.5).darken(0.35).rgbString());
+                            this.active[i]._model.borderWidth = this.active[i].custom && this.active[i].custom.hoverBorderWidth ? this.active[i].custom.hoverBorderWidth : helpers.getValueAtIndexOrDefault(dataset.pointBorderWidth, index, this.active[i]._model.borderWidth + 2);
+                        }
+                        break;
+                    case 'dataset':
+                        break;
+                    default:
+                        // Don't change anything
+                }
+            }
+
+            // Built in Tooltips
+            if (this.options.tooltips.enabled) {
+
+                // The usual updates
+                this.tooltip.initialize();
+
+                // Active
+                if (this.active.length) {
+                    this.tooltip._model.opacity = 1;
+
+                    helpers.extend(this.tooltip, {
+                        _active: this.active,
+                    });
+
+                    this.tooltip.update();
+                } else {
+                    // Inactive
+                    this.tooltip._model.opacity = 0;
+                }
+            }
+
+            // 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);
+
+                // If entering, leaving, or changing elements, animate the change via pivot
+                if ((!this.lastActive.length && this.active.length) ||
+                    (this.lastActive.length && !this.active.length) ||
+                    (this.lastActive.length && this.active.length && changed)) {
+
+                    this.stop();
+                    this.render(this.options.hover.animationDuration);
+                }
+            }
+
+            // Remember Last Active
+            this.lastActive = this.active;
+            return this;
+        },
+    });
+}).call(this);

src/Chart.Scatter.js

@@ -0,0 +1,593 @@
+(function() {
+    "use strict";
+
+    var root = this,
+        Chart = root.Chart,
+        helpers = Chart.helpers;
+
+    var defaultConfig = {
+        hover: {
+            mode: 'single',
+        },
+
+        scales: {
+            xAxes: [{
+                scaleType: "linear", // scatter should not use a dataset axis
+                display: true,
+                position: "bottom",
+                id: "x-axis-1", // need an ID so datasets can reference the scale
+                
+                // grid line settings
+                gridLines: {
+                    show: true,
+                    color: "rgba(0, 0, 0, 0.05)",
+                    lineWidth: 1,
+                    drawOnChartArea: true,
+                    drawTicks: true,
+                    zeroLineWidth: 1,
+                    zeroLineColor: "rgba(0,0,0,0.25)",
+                },
+
+                // scale numbers
+                beginAtZero: false,
+                integersOnly: false,
+                override: null,
+
+                // label settings
+                labels: {
+                    show: true,
+                    template: "<%=value%>",
+                    fontSize: 12,
+                    fontStyle: "normal",
+                    fontColor: "#666",
+                    fontFamily: "Helvetica Neue",
+                },
+            }],
+            yAxes: [{
+                scaleType: "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",
+        
+                // grid line settings
+                gridLines: {
+                    show: true,
+                    color: "rgba(0, 0, 0, 0.05)",
+                    lineWidth: 1,
+                    drawOnChartArea: true,
+                    drawTicks: true, // draw ticks extending towards the label
+                    zeroLineWidth: 1,
+                    zeroLineColor: "rgba(0,0,0,0.25)",
+                },
+
+                // scale numbers
+                beginAtZero: false,
+                integersOnly: false,
+                override: null,
+
+                // label settings
+                labels: {
+                    show: true,
+                    template: "<%=value%>",
+                    fontSize: 12,
+                    fontStyle: "normal",
+                    fontColor: "#666",
+                    fontFamily: "Helvetica Neue",
+                }
+            }],
+        },
+
+        //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].borderColor%>\"></span><%if(datasets[i].label){%><%=datasets[i].label%><%}%></li><%}%></ul>",
+
+        tooltips: {
+            template: "(<%= value.x %>, <%= value.y %>)",
+            multiTemplate: "<%if (datasetLabel){%><%=datasetLabel%>: <%}%>(<%= value.x %>, <%= value.y %>)",
+        },
+
+    };
+
+
+    Chart.Type.extend({
+        name: "Scatter",
+        defaults: defaultConfig,
+        initialize: function() {
+
+            // Events
+            helpers.bindEvents(this, this.options.events, this.events);
+
+            //Custom Point Defaults
+            helpers.each(this.data.datasets, function(dataset, datasetIndex) {
+                dataset.metaDataset = new Chart.Line({
+                    _chart: this.chart,
+                    _datasetIndex: datasetIndex,
+                    _points: dataset.metaData,
+                });
+
+                dataset.metaData = [];
+
+                helpers.each(dataset.data, function(dataPoint, index) {
+                    dataset.metaData.push(new Chart.Point({
+                        _datasetIndex: datasetIndex,
+                        _index: index,
+                        _chart: this.chart,
+                        _model: {
+                            x: 0, //xScale.getPixelForValue(null, index, true),
+                            y: 0, //this.chartArea.bottom,
+                        },
+                    }));
+
+                }, this);
+
+                // The line chart onlty supports a single x axis because the x axis is always a dataset axis
+                if (!dataset.xAxisID) {
+                    dataset.xAxisID = this.options.scales.xAxes[0].id;
+                }
+
+                if (!dataset.yAxisID) {
+                    dataset.yAxisID = this.options.scales.yAxes[0].id;
+                }
+
+            }, this);
+
+            // Build and fit the scale. Needs to happen after the axis IDs have been set
+            this.buildScale();
+
+            // Create tooltip instance exclusively for this chart with some defaults.
+            this.tooltip = new Chart.Tooltip({
+                _chart: this.chart,
+                _data: this.data,
+                _options: this.options,
+            }, this);
+
+            // Need to fit scales before we reset elements. 
+            Chart.scaleService.fitScalesForChart(this, this.chart.width, this.chart.height);
+
+            // Reset so that we animation from the baseline
+            this.resetElements();
+
+            // Update that shiz
+            this.update();
+        },
+        nextPoint: function(collection, index) {
+            return collection[index + 1] || collection[index];
+        },
+        previousPoint: function(collection, index) {
+            return collection[index - 1] || collection[index];
+        },
+        resetElements: function() {
+            // Update the points
+            this.eachElement(function(point, index, dataset, datasetIndex) {
+                var xScale = this.scales[this.data.datasets[datasetIndex].xAxisID];
+                var yScale = this.scales[this.data.datasets[datasetIndex].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(point, {
+                    // Utility
+                    _chart: this.chart,
+                    _xScale: xScale,
+                    _yScale: yScale,
+                    _datasetIndex: datasetIndex,
+                    _index: index,
+
+                    // Desired view properties
+                    _model: {
+                        x: xScale.getPixelForValue(this.data.datasets[datasetIndex].data[index].x), // value not used in dataset scale, but we want a consistent API between scales
+                        y: yScalePoint,
+
+                        // Appearance
+                        tension: point.custom && point.custom.tension ? point.custom.tension : this.options.elements.line.tension,
+                        radius: point.custom && point.custom.radius ? point.custom.pointRadius : helpers.getValueAtIndexOrDefault(this.data.datasets[datasetIndex].pointRadius, index, this.options.elements.point.radius),
+                        backgroundColor: point.custom && point.custom.backgroundColor ? point.custom.backgroundColor : helpers.getValueAtIndexOrDefault(this.data.datasets[datasetIndex].pointBackgroundColor, index, this.options.elements.point.backgroundColor),
+                        borderColor: point.custom && point.custom.borderColor ? point.custom.borderColor : helpers.getValueAtIndexOrDefault(this.data.datasets[datasetIndex].pointBorderColor, index, this.options.elements.point.borderColor),
+                        borderWidth: point.custom && point.custom.borderWidth ? point.custom.borderWidth : helpers.getValueAtIndexOrDefault(this.data.datasets[datasetIndex].pointBorderWidth, index, this.options.elements.point.borderWidth),
+                        skip: (typeof this.data.datasets[datasetIndex].data[index].x != 'number') || (typeof this.data.datasets[datasetIndex].data[index].y != 'number'),
+
+                        // Tooltip
+                        hoverRadius: point.custom && point.custom.hoverRadius ? point.custom.hoverRadius : helpers.getValueAtIndexOrDefault(this.data.datasets[datasetIndex].pointHitRadius, index, this.options.elements.point.hitRadius),
+                    },
+                });
+            }, this);
+
+            // Update control points for the bezier curve
+            this.eachElement(function(point, index, dataset, datasetIndex) {
+                var controlPoints = helpers.splineCurve(
+                    this.previousPoint(dataset, index)._model,
+                    point._model,
+                    this.nextPoint(dataset, index)._model,
+                    point._model.tension
+                );
+
+                point._model.controlPointPreviousX = controlPoints.previous.x;
+                point._model.controlPointNextX = controlPoints.next.x;
+
+                // Prevent the bezier going outside of the bounds of the graph
+
+                // Cap puter bezier handles to the upper/lower scale bounds
+                if (controlPoints.next.y > this.chartArea.bottom) {
+                    point._model.controlPointNextY = this.chartArea.bottom;
+                } else if (controlPoints.next.y < this.chartArea.top) {
+                    point._model.controlPointNextY = this.chartArea.top;
+                } else {
+                    point._model.controlPointNextY = controlPoints.next.y;
+                }
+
+                // Cap inner bezier handles to the upper/lower scale bounds
+                if (controlPoints.previous.y > this.chartArea.bottom) {
+                    point._model.controlPointPreviousY = this.chartArea.bottom;
+                } else if (controlPoints.previous.y < this.chartArea.top) {
+                    point._model.controlPointPreviousY = this.chartArea.top;
+                } else {
+                    point._model.controlPointPreviousY = controlPoints.previous.y;
+                }
+
+                // Now pivot the point for animation
+                point.pivot();
+            }, this);
+        },
+        update: function() {
+            Chart.scaleService.fitScalesForChart(this, this.chart.width, this.chart.height);
+
+            // Update the lines
+            this.eachDataset(function(dataset, datasetIndex) {
+                var yScale = this.scales[dataset.yAxisID];
+
+                helpers.extend(dataset.metaDataset, {
+                    // Utility
+                    _scale: yScale,
+                    _datasetIndex: datasetIndex,
+                    // Data
+                    _children: dataset.metaData,
+                    // Model
+                    _model: {
+                        // Appearance
+                        tension: dataset.tension || this.options.elements.line.tension,
+                        backgroundColor: dataset.backgroundColor || this.options.elements.line.backgroundColor,
+                        borderWidth: dataset.borderWidth || this.options.elements.line.borderWidth,
+                        borderColor: dataset.borderColor || this.options.elements.line.borderColor,
+                        fill: dataset.fill !== undefined ? dataset.fill : this.options.elements.line.fill, // use the value from the dataset if it was provided. else fall back to the default
+                        skipNull: dataset.skipNull !== undefined ? dataset.skipNull : this.options.elements.line.skipNull,
+                        drawNull: dataset.drawNull !== undefined ? dataset.drawNull : this.options.elements.line.drawNull,
+                        // Scale
+                        scaleTop: yScale.top,
+                        scaleBottom: yScale.bottom,
+                        scaleZero: yScale.getPixelForValue(0),
+                    },
+                });
+
+                dataset.metaDataset.pivot();
+            });
+
+            // Update the points
+            this.eachElement(function(point, index, dataset, datasetIndex) {
+                var xScale = this.scales[this.data.datasets[datasetIndex].xAxisID];
+                var yScale = this.scales[this.data.datasets[datasetIndex].yAxisID];
+
+                helpers.extend(point, {
+                    // Utility
+                    _chart: this.chart,
+                    _xScale: xScale,
+                    _yScale: yScale,
+                    _datasetIndex: datasetIndex,
+                    _index: index,
+
+                    // Desired view properties
+                    _model: {
+                        x: xScale.getPixelForValue(this.data.datasets[datasetIndex].data[index].x), 
+                        y: yScale.getPixelForValue(this.data.datasets[datasetIndex].data[index].y),
+
+                        // Appearance
+                        tension: point.custom && point.custom.tension ? point.custom.tension : this.options.elements.line.tension,
+                        radius: point.custom && point.custom.radius ? point.custom.pointRadius : helpers.getValueAtIndexOrDefault(this.data.datasets[datasetIndex].pointRadius, index, this.options.elements.point.radius),
+                        backgroundColor: point.custom && point.custom.backgroundColor ? point.custom.backgroundColor : helpers.getValueAtIndexOrDefault(this.data.datasets[datasetIndex].pointBackgroundColor, index, this.options.elements.point.backgroundColor),
+                        borderColor: point.custom && point.custom.borderColor ? point.custom.borderColor : helpers.getValueAtIndexOrDefault(this.data.datasets[datasetIndex].pointBorderColor, index, this.options.elements.point.borderColor),
+                        borderWidth: point.custom && point.custom.borderWidth ? point.custom.borderWidth : helpers.getValueAtIndexOrDefault(this.data.datasets[datasetIndex].pointBorderWidth, index, this.options.elements.point.borderWidth),
+                        skip: (typeof this.data.datasets[datasetIndex].data[index].x != 'number') || (typeof this.data.datasets[datasetIndex].data[index].y != 'number'),
+
+                        // Tooltip
+                        hoverRadius: point.custom && point.custom.hoverRadius ? point.custom.hoverRadius : helpers.getValueAtIndexOrDefault(this.data.datasets[datasetIndex].pointHitRadius, index, this.options.elements.point.hitRadius),
+                    },
+                });
+            }, this);
+
+
+            // Update control points for the bezier curve
+            this.eachElement(function(point, index, dataset, datasetIndex) {
+                var controlPoints = helpers.splineCurve(
+                    this.previousPoint(dataset, index)._model,
+                    point._model,
+                    this.nextPoint(dataset, index)._model,
+                    point._model.tension
+                );
+
+                point._model.controlPointPreviousX = controlPoints.previous.x;
+                point._model.controlPointNextX = controlPoints.next.x;
+
+                // Prevent the bezier going outside of the bounds of the graph
+
+                // Cap puter bezier handles to the upper/lower scale bounds
+                if (controlPoints.next.y > this.chartArea.bottom) {
+                    point._model.controlPointNextY = this.chartArea.bottom;
+                } else if (controlPoints.next.y < this.chartArea.top) {
+                    point._model.controlPointNextY = this.chartArea.top;
+                } else {
+                    point._model.controlPointNextY = controlPoints.next.y;
+                }
+
+                // Cap inner bezier handles to the upper/lower scale bounds
+                if (controlPoints.previous.y > this.chartArea.bottom) {
+                    point._model.controlPointPreviousY = this.chartArea.bottom;
+                } else if (controlPoints.previous.y < this.chartArea.top) {
+                    point._model.controlPointPreviousY = this.chartArea.top;
+                } else {
+                    point._model.controlPointPreviousY = controlPoints.previous.y;
+                }
+
+                // Now pivot the point for animation
+                point.pivot();
+            }, this);
+
+            this.render();
+        },
+        buildScale: function() {
+            var self = this;
+
+            var calculateXRange = function() {
+                this.min = null;
+                this.max = null;
+                
+                helpers.each(self.data.datasets, function(dataset) {
+                    // Only set the scale range for datasets that actually use this axis
+                    if (dataset.xAxisID === this.id) {
+                        helpers.each(dataset.data, function(value) {
+                            if (this.min === null) {
+                                this.min = value.x;
+                            } else if (value.x < this.min) {
+                                this.min = value.x;
+                            }
+                            
+                            if (this.max === null) {
+                                this.max = value.x;
+                            } else if (value.x > this.max) {
+                                this.max = value.x;
+                            }
+                        }, this);
+                    }
+                }, this);
+            };
+
+            var calculateYRange = function() {
+                this.min = null;
+                this.max = null;
+                
+                helpers.each(self.data.datasets, function(dataset) {
+                    if (dataset.yAxisID === this.id) {
+                        helpers.each(dataset.data, function(value) {
+                            if (this.min === null) {
+                                this.min = value.y;
+                            } else if (value.y < this.min) {
+                                this.min = value.y;
+                            }
+                            
+                            if (this.max === null) {
+                                this.max = value.y;
+                            } else if (value.y > this.max) {
+                                this.max = value.y;
+                            }
+                        }, this);
+                    }
+                }, this);
+            };
+
+            // Map of scale ID to scale object so we can lookup later 
+            this.scales = {};
+
+            helpers.each(this.options.scales.xAxes, function(xAxisOptions) {
+                var ScaleClass = Chart.scales.getScaleConstructor(xAxisOptions.scaleType);
+                var scale = new ScaleClass({
+                    ctx: this.chart.ctx,
+                    options: xAxisOptions,
+                    calculateRange: calculateXRange,
+                    id: xAxisOptions.id,
+                });
+
+                this.scales[scale.id] = scale;
+            }, this);
+
+            helpers.each(this.options.scales.yAxes, function(yAxisOptions) {
+                var ScaleClass = Chart.scales.getScaleConstructor(yAxisOptions.scaleType);
+                var scale = new ScaleClass({
+                    ctx: this.chart.ctx,
+                    options: yAxisOptions,
+                    calculateRange: calculateYRange,
+                    id: yAxisOptions.id,
+                    getPointPixelForValue: function(value, index, datasetIndex) {
+                        return this.getPixelForValue(value);
+                    }
+                });
+
+                this.scales[scale.id] = scale;
+            }, this);
+        },
+        draw: function(ease) {
+            var easingDecimal = ease || 1;
+            this.clear();
+
+            // Draw all the scales
+            helpers.each(this.scales, function(scale) {
+                scale.draw(this.chartArea);
+            }, this);
+
+            // reverse for-loop for proper stacking
+            for (var i = this.data.datasets.length - 1; i >= 0; i--) {
+
+                var dataset = this.data.datasets[i];
+
+                // Transition Point Locations
+                helpers.each(dataset.metaData, function(point, index) {
+                    point.transition(easingDecimal);
+                }, this);
+
+                // Transition and Draw the line
+                dataset.metaDataset.transition(easingDecimal).draw();
+
+                // Draw the points
+                helpers.each(dataset.metaData, function(point) {
+                    point.draw();
+                });
+            }
+
+            // Finally draw the tooltip
+            this.tooltip.transition(easingDecimal).draw();
+        },
+        events: function(e) {
+            // If exiting chart
+            if (e.type == 'mouseout') {
+                return this;
+            }
+
+            this.lastActive = this.lastActive || [];
+
+            // Find Active Elements
+            this.active = function() {
+                switch (this.options.hover.mode) {
+                    case 'single':
+                        return this.getElementAtEvent(e);
+                    case 'label':
+                        return this.getElementsAtEvent(e);
+                    case 'dataset':
+                        return this.getDatasetAtEvent(e);
+                    default:
+                        return e;
+                }
+            }.call(this);
+
+            // On Hover hook
+            if (this.options.hover.onHover) {
+                this.options.hover.onHover.call(this, this.active);
+            }
+
+             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':
+                        dataset = this.data.datasets[this.lastActive[0]._datasetIndex];
+                        index = this.lastActive[0]._index;
+
+                        this.lastActive[0]._model.radius = this.lastActive[0].custom && this.lastActive[0].custom.radius ? this.lastActive[0].custom.pointRadius : helpers.getValueAtIndexOrDefault(dataset.pointRadius, index, this.options.elements.point.radius);
+                        this.lastActive[0]._model.backgroundColor = this.lastActive[0].custom && this.lastActive[0].custom.backgroundColor ? this.lastActive[0].custom.backgroundColor : helpers.getValueAtIndexOrDefault(dataset.pointBackgroundColor, index, this.options.elements.point.backgroundColor);
+                        this.lastActive[0]._model.borderColor = this.lastActive[0].custom && this.lastActive[0].custom.borderColor ? this.lastActive[0].custom.borderColor : helpers.getValueAtIndexOrDefault(dataset.pointBorderColor, index, this.options.elements.point.borderColor);
+                        this.lastActive[0]._model.borderWidth = this.lastActive[0].custom && this.lastActive[0].custom.borderWidth ? this.lastActive[0].custom.borderWidth : helpers.getValueAtIndexOrDefault(dataset.pointBorderWidth, index, this.options.elements.point.borderWidth);
+                        break;
+                    case 'label':
+                        for (var i = 0; i < this.lastActive.length; i++) {
+                            dataset = this.data.datasets[this.lastActive[i]._datasetIndex];
+                            index = this.lastActive[i]._index;
+
+                            this.lastActive[i]._model.radius = this.lastActive[i].custom && this.lastActive[i].custom.radius ? this.lastActive[i].custom.pointRadius : helpers.getValueAtIndexOrDefault(dataset.pointRadius, index, this.options.elements.point.radius);
+                            this.lastActive[i]._model.backgroundColor = this.lastActive[i].custom && this.lastActive[i].custom.backgroundColor ? this.lastActive[i].custom.backgroundColor : helpers.getValueAtIndexOrDefault(dataset.pointBackgroundColor, index, this.options.elements.point.backgroundColor);
+                            this.lastActive[i]._model.borderColor = this.lastActive[i].custom && this.lastActive[i].custom.borderColor ? this.lastActive[i].custom.borderColor : helpers.getValueAtIndexOrDefault(dataset.pointBorderColor, index, this.options.elements.point.borderColor);
+                            this.lastActive[i]._model.borderWidth = this.lastActive[i].custom && this.lastActive[i].custom.borderWidth ? this.lastActive[i].custom.borderWidth : helpers.getValueAtIndexOrDefault(dataset.pointBorderWidth, index, this.options.elements.point.borderWidth);
+                        }
+                        break;
+                    case 'dataset':
+                        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':
+                        dataset = this.data.datasets[this.active[0]._datasetIndex];
+                        index = this.active[0]._index;
+
+                        this.active[0]._model.radius = this.active[0].custom && this.active[0].custom.hoverRadius ? this.active[0].custom.hoverRadius : helpers.getValueAtIndexOrDefault(dataset.pointHoverRadius, index, this.active[0]._model.radius + 2);
+                        this.active[0]._model.backgroundColor = this.active[0].custom && this.active[0].custom.hoverBackgroundColor ? this.active[0].custom.hoverBackgroundColor : helpers.getValueAtIndexOrDefault(dataset.pointHoverBackgroundColor, index, helpers.color(this.active[0]._model.backgroundColor).saturate(0.5).darken(0.35).rgbString());
+                        this.active[0]._model.borderColor = this.active[0].custom && this.active[0].custom.hoverBorderColor ? this.active[0].custom.hoverBorderColor : helpers.getValueAtIndexOrDefault(dataset.pointHoverBorderColor, index, helpers.color(this.active[0]._model.borderColor).saturate(0.5).darken(0.35).rgbString());
+                        this.active[0]._model.borderWidth = this.active[0].custom && this.active[0].custom.hoverBorderWidth ? this.active[0].custom.hoverBorderWidth : helpers.getValueAtIndexOrDefault(dataset.pointBorderWidth, index, this.active[0]._model.borderWidth + 2);
+                        break;
+                    case 'label':
+                        for (var i = 0; i < this.active.length; i++) {
+                            dataset = this.data.datasets[this.active[i]._datasetIndex];
+                            index = this.active[i]._index;
+
+                            this.active[i]._model.radius = this.active[i].custom && this.active[i].custom.hoverRadius ? this.active[i].custom.hoverRadius : helpers.getValueAtIndexOrDefault(dataset.pointHoverRadius, index, this.active[i]._model.radius + 2);
+                            this.active[i]._model.backgroundColor = this.active[i].custom && this.active[i].custom.hoverBackgroundColor ? this.active[i].custom.hoverBackgroundColor : helpers.getValueAtIndexOrDefault(dataset.pointHoverBackgroundColor, index, helpers.color(this.active[i]._model.backgroundColor).saturate(0.5).darken(0.35).rgbString());
+                            this.active[i]._model.borderColor = this.active[i].custom && this.active[i].custom.hoverBorderColor ? this.active[i].custom.hoverBorderColor : helpers.getValueAtIndexOrDefault(dataset.pointHoverBorderColor, index, helpers.color(this.active[i]._model.borderColor).saturate(0.5).darken(0.35).rgbString());
+                            this.active[i]._model.borderWidth = this.active[i].custom && this.active[i].custom.hoverBorderWidth ? this.active[i].custom.hoverBorderWidth : helpers.getValueAtIndexOrDefault(dataset.pointBorderWidth, index, this.active[i]._model.borderWidth + 2);
+                        }
+                        break;
+                    case 'dataset':
+                        break;
+                    default:
+                        // Don't change anything
+                }
+            }
+
+            // Built in Tooltips
+            if (this.options.tooltips.enabled) {
+
+                // The usual updates
+                this.tooltip.initialize();
+
+                // Active
+                if (this.active.length) {
+                    this.tooltip._model.opacity = 1;
+
+                    helpers.extend(this.tooltip, {
+                        _active: this.active,
+                    });
+
+                    this.tooltip.update();
+                } else {
+                    // Inactive
+                    this.tooltip._model.opacity = 0;
+                }
+            }
+
+            // 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);
+
+                // If entering, leaving, or changing elements, animate the change via pivot
+                if ((!this.lastActive.length && this.active.length) ||
+                    (this.lastActive.length && !this.active.length) ||
+                    (this.lastActive.length && this.active.length && changed)) {
+
+                    this.stop();
+                    this.render(this.options.hoverAnimationDuration);
+                }
+            }
+
+            // Remember Last Active
+            this.lastActive = this.active;
+            return this;
+
+        },
+    });
+
+
+}).call(this);