Exercise 3 for Data Visualization and Infographics with D3

<!DOCTYPE html>
<html lang="en">
	<head>
		<meta charset="utf-8">
		<title>Loading CSV Data with D3</title>
		<style type="text/css">
			body {
				background-color: whitesmoke;
			}
			svg {
				background-color: mistyrose;
			}
		</style>
		<script type="text/javascript" src="https://d3js.org/d3.v3.js"></script>
	</head>
	<body>

<h1>California Counties Ranked By Diabetes Rate</h1>
		<p>Hover over a bar to see which county it represents!</p>

//Load in contents of CSV file and create a bar graph
			d3.csv("CA-diabetes-data.csv", function(data) {

var svg1 = d3.select("svg");

// Sort the data in order of ascending Diabetes Value (DV)
				data.sort(function(a, b) {
					return d3.ascending(a["Diabetes Value"], b["Diabetes Value"]);
				});

// Bind data to rectangles in the SVG element
				svg1.selectAll("rect")
					.data(data)
					.enter()
					.append("rect");

// Give rectangles width proportional to DV
				// and position along y axis determined by index
				svg1.selectAll("rect")
					.attr("x", 15)
					.attr("y", function(d, i) {
						return (i * 10) + 5;
					})
					.attr("width", function(d) {
						return parseInt(d["Diabetes Value"] * 4000);
					})
					.attr("height", 8)
					.attr("fill", "gray")
					.append("title")
					.text(function(d) {return d["County"];});

});

</script>

</body>
</html>

Modified http://d3js.org/d3.v3.js to a secure url

https://d3js.org/d3.v3.js