Irene Ros iros

View this code at http://livecoding.io/4137610

View this code at http://livecoding.io/3860275

Title

<Additional information about your API call. Try to use verbs that match both request type (fetching vs modifying) and plurality (one vs multiple).>

URL

<The URL Structure (path only, no root url)>
Method:

See example: http://jsfiddle.net/SyQYp/4/

	{
	"url": "http://mynewsapp.com/article/19928034",
	"id": "19928034",
	"body": "Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque vitae lorem quam, a luctus quam. Proin scelerisque cursus dolor, ut iaculis urna tempus vitae.",
	"original_body": "<b>Lorem ipsum</b> dolor sit amet, consectetur adipiscing elit. Pellentesque vitae lorem quam, a luctus quam. Proin scelerisque cursus dolor, ut iaculis urna tempus vitae. ",
	"title": "Lorem ipsum",
	"byline": "By Cicero",
	"pub_date": "1011-01-04T16:00:25Z",
	"decompositions": {
	"sentences": [

	Backbone.sync = function(method, model, options) {

	// we need to make sure we initialize a store, in this case
	// we will just use a JS object.
	var cache = {};

	// The size will be primarily used to assign ids to newly
	// created models. Each time a new model is created, the size
	// will be incremented.
	var size = 0;

	var interactive = new Miso.Storyboard({
	// our initial state will be loading
	initial : 'loading',

	scenes : {

	loading: {
	enter : function() {
	// show that we are in a loading state
	$('#loading').show();

	var data = [
	{ age : 23, weight : 140, height : 65 },
	{ age : 40, weight : 290, height : 72 },
	{ age : 13, weight : 110, height : 60 }
	];

	var healthData = new Miso.Dataset({
	data: data
	});

	# Making R read data faster by precomputing the column
	# data types
	sample <- read.table("data.txt", nrows = 100)
	types <- sapply(sample, classes)
	allData <- read.table("data.txt", colClasses = classes)