index1.html

<!DOCTYPE html>
<html lang="en">
	<head>
		<meta charset="utf-8">
		<title>Creating SVG Elements from Data</title>
		<script type="text/javascript" src="../../d3.v3.js"></script>
		<style type="text/css">
			
			body {
				background-color: #dddddff;
				font-family: Helvetica, Arial, sans-serif;
			}

			h1 {
				font-size: 24px;
				margin: 0;
			}

			p {
				font-size: 14px;
				margin: 10px 0 0 0;
			}

			svg {
				background-color: while;
			}
			rect:hover {
				fill: orange;
			}
			
			.axis path,
			.axis line {
				fill: none;
				stroke: black;
				shape-rendering: crispEdges;
			}
			
			.axis text {
				font-family: sans-serif;
				font-size: 11px;
			}

			.y.axis path,
			.y.axis line {
				opacity: 0;
            }

		</style>
	</head>
	<body>
	    <p><h2>The National Commercial Housing Price of China Since 2000 (RMB/m2)</h2></p>

		<script type="text/javascript">		

            var w = 700；
            var h = 600；

            var padding = ["top": 50, "right": 20, "bottom": 20, "left": 160 ];

            var widthScale = d3.scale.linear()
				                .range([0, w - padding [1] - padding[3]])；
		    var heightScale = d3.scale.ordinal()
				                .rangeRoundBands([ Padding[0], h - padding[2]], 0.1);
            var xAxis = d3.svg.axis()
						.scale(heightScale)
						.orient("bottom");

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

			var svg = d3.select("body")
						.append("svg")
						.attr("width", w)
						.attr("height", h);



			d3.csv("thenationalcommercialhousingpriceofChinasince2000.csv", function(data) {

				data.sort(function(a, b) {
					return d3.descending(+a.commercialHousingAverageSellingPrice, +b.commercialHousingAverageSellingPrice);
				});

                widthScale.domain([ 0, d3.max(data, function(d) {
					return +d.commercialHousingAverageSellingPrice*0.1;
				}) ]);

				heightScale.domain(data.map(function(d) { return d.year; } ));

				var rects = svg.selectAll("rect")
								.data(data)
								.enter()
								.append("rect");

				rects.attr("x", padding[3])
					.attr("y", function(d) {
						return heightScale(d.year);
					})
					.attr("width", function(d) {
						return widthScale(d.commercialHousingAverageSellingPrice*0.1);
					})
					.attr("height", heightScale.rangeBand())
					.attr("fill", "green")
					.append("title")
					.text(function(d) {
						return d.year + "'s commerical housing average price is " + d.commercialHousingAverageSellingPrice;
					});

				svg.append("g")
					.attr("class", "x axis")
					.attr("transform", "translate(" + padding[3] + "," + (h - padding[2]) + ")")
					.call(xAxis);

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


		});

		</script>

	</body>
</html>

thenationalcommercialhousingpriceofChinasince2000.csv

year,commercialHousingAverageSellingPrice,
2013,6237,
2012,5790,
2011,5357,
2010,5032,
2009,4681,
2008,3800,
2007,3863,
2006,3366,
2005,3167,
2004,2778,
2003,2359,
2002,2250,
2001,2170,
2000,2112