Core Housing Need by majomo

index.html

<!DOCTYPE html>
<html lang="en">
	<head>
		<meta charset="utf-8">
		<title>Core Housing Need - Chart with Multiple Lines</title>
	 <script type="text/javascript" src="//d3js.org/d3.v3.js"></script>
    <style type="text/css">
			
			body {
				background-color: white;
				font-family: Helvetica, Arial, sans-serif;
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			h1 {
				font-size: 24px;
				margin: 0;
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			p {
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				background-color: white;
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				fill: orange;
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			.axis path,
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			.axis text {
				font-family: sans-serif;
				font-size: 11px;
			}

		</style>
	</head>
	<body>

		<h1>Core Housing Need in Canada</h1>

		<p>Core Housing Need by Census Year in Canada and Provinces. Source: <a href="https://www.cmhc-schl.gc.ca/observer/">Canadian Housing Observer</a>, 2014</p>

		<script type="text/javascript">		


			//Dimensions and padding
			var w = 700;
			var h = 600;
			var padding = [ 20, 10, 50, 100 ];  //Top, right, bottom, left



			//Set up date formatting and years
			var dateFormat = d3.time.format("%Y");



			//Set up scales
			var xScale = d3.time.scale()
								.range([ padding[3], w - padding[1] - padding[3] ]);
			
			var yScale = d3.scale.linear()
								.range([ padding[0], h - padding[2] ]);



			//Configure axis generators
			var xAxis = d3.svg.axis()
							.scale(xScale)
							.orient("bottom")
							.ticks(15)
							.tickFormat(function(d) {
								return dateFormat(d);
							});

			var yAxis = d3.svg.axis()
							.scale(yScale)
							.orient("left");



			//Configure line generator
			var line = d3.svg.line()
				.x(function(d) {
					return xScale(dateFormat.parse(d.year));
				})
				.y(function(d) {
					return yScale(+d.amount);
				});



			//Create the empty SVG image
			var svg = d3.select("body")
						.append("svg")
						.attr("width", w)
						.attr("height", h);



			//Load data
			d3.csv("CHN.csv", function(data) {

				//Data is loaded in, but we need to restructure it.
				//Remember, each line requires an array of x/y pairs;
				//that is, an array of arrays, like so:
				//
				//	[ [x: 1, y: 1], [x: 2, y: 2], [x: 3, y: 3] ]
				//
				//We, however, are using 'year' as x and 'amount' as y.
				//We also need to know which country belongs to each
				//line, so we will build an array of objects that is
				//structured like this:
				/*

					[
						{
							country: "Australia",
							emissions: [
										{ year: 1961, amount: 90589.568 },
										{ year: 1962, amount: 94912.961 },
										{ year: 1963, amount: 101029.517 },
										…
									   ]
						},
						{
							country: "Bermuda",
							emissions: [
										{ year: 1961, amount: 176.016 },
										{ year: 1962, amount: 157.681 },
										{ year: 1963, amount: 150.347 },
										…
									   ]
						},
						…
					 ]

				*/
				//Note that this is an array of objects. Each object
				//contains two values, 'country' and 'emissions'.
				//The 'emissions' value is itself an array, containing
				//more objects, each one holding 'year' and 'amount' values.

				//New array with all the years, for referencing later
				var years = ["1991", "1996", "2001", "2006", "2011"];

				//Create a new, empty array to hold our restructured dataset
				var dataset = [];

				//Loop once for each row in data
				for (var i = 0; i < data.length; i++) {

					//Create new object with this country's name and empty array
					dataset[i] = {
						country: data[i].Place,
						Hldschn: []
					};

					//Loop through all the years
					for (var j = 0; j < years.length; j++) {

						// If value is not empty
						if (data[i][years[j]]) {
							//Add a new object to the Hldschn data array
							//for this country
							dataset[i].Hldschn.push({
								year: years[j],
								amount: data[i][years[j]]
							});
						}

					}

				}
				
				//Uncomment to log the original data to the console
				// console.log(data);

				//Uncomment to log the newly restructured dataset to the console
				// console.log(dataset);



				//Set scale domains
				xScale.domain([ 
					d3.min(years, function(d) {
						return dateFormat.parse(d);
					}),
					d3.max(years, function(d) {
						return dateFormat.parse(d);
					})
				]);

				yScale.domain([ 
					d3.max(dataset, function(d) {
						return d3.max(d.Hldschn, function(d) {
							return +d.amount;
						});
					}),
					0
				]);



				//Make a group for each country
				var groups = svg.selectAll("g")
					.data(dataset)
					.enter()
					.append("g")

					.classed("highlight", function(d) {

						if 	(d.Place == "Canada" ) {
							return true;
						} else {
							return false;
						}					
					});

				//Append a title with the country name (so we get easy tooltips)
				groups.append("title")
					.text(function(d) {
						return d.country;
					});

				//Within each group, create a new line/path,
				//binding just the emissions data to each one
				groups.selectAll("path")
					.data(function(d) {
						return [ d.Hldschn ];
					})
					.enter()
					.append("path")
					.attr("class", "line")
					.attr("d", line)
					.attr("fill", "none")
					.attr("stroke", "green")
					.attr("stroke-width", 2);



				//Axes
				svg.append("g")
					.attr("class", "x axis")
					.attr("transform", "translate(0," + (h - padding[2]) + ")")
					.call(xAxis);

				svg.append("g")
					.attr("class", "y axis")
					.attr("transform", "translate(" + (padding[3]) + ",0)")
					.call(yAxis);

			});
			//End Canada data load function


		</script>

	</body>
</html>

CHN.csv

Place,indicator,1991,1996,2001,2006,2011
Canada,Hldschn,1269980,1567180,1485340,1494395,1552145
Newfoundland and Labrador,Hldschn,24630,26310,26605,27305,22945
Prince Edward Island,Hldschn,5585,6060,6200,6435,4945
Nova Scotia,Hldschn,42070,48105,51590,43760,46285
New Brunswick,Hldschn,39405,34735,29990,29360,29565
Quebec,Hldschn,359985,426655,352350,324590,348485
Ontario,Hldschn,408035,594250,599660,627530,616935
Manitoba,Hldschn,50525,55015,45390,46915,43410
Saskatchewan,Hldschn,45410,39685,37160,40835,47350
Alberta,Hldschn,105780,100775,106285,119055,137485
British Columbia,Hldschn,182505,228970,223675,221475,247280
Yukon,Hldschn,1515,1970,1615,1880,1885
Northwest Territories,Hldschn,4540,4665,2085,2390,2215
Nunavut1,Hldschn,,,2740,2870,3355