Irene Ros iros

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

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:

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

	// A collection holding many tweet objects.
	// also responsible for performing the
	// search that fetches them.
	var Tweets = Backbone.Collection.extend({
	model: Tweet,
	initialize: function(models, options) {
	this.query = options.query;
	},
	url: function() {
	return "http://search.twitter.com/search.json?q=" + this.query + "&callback=?";

	/**
	* A useful little pagination collection extension. Handles two
	* types of collections:
	* 1. Those where the number of pages is discoered on first page
	* 2. Those whose number of pages is known in advance.
	* Used by startup Collection and Trends collection.
	*/
	ST.Collections.PaginatedCollection = Backbone.Collection.extend({

	initialize : function(attributes, options) {

	var el = $('div.button');

	// is this bad? I'd think so:
	el.addClass('closed').css('border', 'none').attr('x', 5);

	// first method call in line, subsequent below indented?
	el.addClass('closed')
	.css('border', 'none');

	// context switching adds indentation? (like in d3)

	var ds = new Miso.Dataset({
	// Paths can be relative or absolute.
	path: "/some/path/here",

	// Make sure you specify the filesystem importer.
	importer: Miso.Importers.Filesystem
	});

	# Read a comma-delimited file that has the following content
	# time,observations
	# 2011/11/01,12
	# 2012/01/01,320
	# 2011/12/01,100
	# 2012/06/01,7
	raw.data <- read.delim("timefill.csv", header=T, sep=",")

	# Convert the time column to a date column.
	# Accessing a column is done by using the '$' sign

	# 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)