United States Meat and Fish/Shellfish Imports(Module 6 Exercise)

<!DOCTYPE html>
<html lang="en">
	<head>
		<meta charset="utf-8">
		<title>U.S. Food Imports: Comparison between Meat and Fish/Shellfish</title>
		<script type="text/javascript" src="https://d3js.org/d3.v3.js"></script>
		<style type="text/css">
			
			body {
				background-color: white;
				font-family: Helvetica, Arial, sans-serif;
			}

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

p {
				font-size: 12px;
				margin: 10px 0 0 0;
			}

svg {
				background: url("FishCow.svg")  no-repeat;
  				height: 700px;
  				width: 600px;
			}

.axis path,
			.axis line {
				fill: none;
				stroke: #004280;
				shape-rendering: crispEdges;
			}
			
			.axis text {
				font-family: sans-serif;
				font-size: 11px;
			}

</style>
	</head>
	<body>

<h1>United States Meat and Fish/Shellfish Imports</h1>

<p>The comparative value of <strong style="color: #27aae1;">fish and shellfish</strong> and <strong style="color: red;">meat</strong> imports to the United States, 2000-2013 (values shown in USD millions).<br>Source: <a href="https://catalog.data.gov/dataset/u-s-food-imports" target="_blank">U.S. Government Department of Agriculture</a>, 2013</p>

//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.foodType);
				});

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

//Load fish and shellfish data
			d3.csv("shellfish.csv", function(shellfishData) {

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

//Create a new array that contains both the
					//meat and fish and shellfish data, merged into one
					var mergedData = shellfishData.concat(meatData);
					//console.log(mergedData);

//Use the newly merged data to determine the
					//min and max values, for setting scale domains
					xScale.domain([ 
						d3.min(mergedData, function(d) {
							return dateFormat.parse(d.year);
						}),
						d3.max(mergedData, function(d) {
							return dateFormat.parse(d.year);
						})
					]);

yScale.domain([ 
						d3.max(mergedData, function(d) {
							return +d.foodType;
						}),
						0
					]);

//Lines
					//
					// Note data is wrapped in another array, so all its
					// values are bound to a single element (the line!)
					//
					svg.data([ shellfishData ])
						.append("path")
						.attr("class", "line shellfish")
						.attr("d", line)
						.attr("fill", "none")
						.attr("stroke", "#27aae1")
						.attr("stroke-width", 2);

svg.data([ meatData ])
						.append("path")
						.attr("class", "line meat")
						.attr("d", line)
						.attr("fill", "none")
						.attr("stroke", "red")
						.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 meat data load function

});
			//End fish and shellfish data load function

</script>
		</div>
	</body>
</html>

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

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