US School Breakfast Program Stack Area Chart

<!DOCTYPE html>
<html lang="en">
	<head>
		<meta charset="utf-8"> 
		<title>Health Record</title>
		<script type="text/javascript" src="https://d3js.org/d3.v3.js"></script>
		<style type="text/css">
			
			body {
				background-color: white;
			}

h1 {
				font-family: sans-serif;
				font-size: 30px;
				padding-left: 30px;
				padding-top: 10px;
			}

h2 {
				font-family: sans-serif;
				font-size: 12px;
				padding-left: 30px;
				font-weight: normal;
				padding-top: 10px;
			}

#container {
				width: 800px;
				margin-left: auto;
				margin-right: auto;
				margin-top: 50px;
				padding: 50px;
				background-color: white;
				border: 1px solid #ccc;
				/*box-shadow: 3px 3px 5px 6px #ccc;*/
			}

svg {
				background-color: white;
			}

circle:hover {
				fill: orange;
			}

.axis path,
			.axis line {
				fill: none;
				stroke: black;
				shape-rendering: crispEdges;
			}
			.axis text{
				font-family: sans-serif;
				font-size: 10px;
			}

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

</style>
	</head>
	<body>
		<div id="container">

<h1>Unite States Health Record</h1>
		<h2>This chart reflects health status in different states in US. The value repersents the ration of people
			involved in the healthy lunch program. As the population in each status varies, this chart uses the ratio instead of the original number.

Y Axis represents people involved in the school breakfast program.</h2>
		</div>

//Width, height, padding
			var w = 800;
			var h = 600;
			var padding = [ 20, 10, 50, 100 ];  //Top, right, bottom, left

//Set up date format function (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(3)
							.tickFormat(function(d) {
								return dateFormat(d);
							});

var yAxis = d3.svg.axis()
							.scale(yScale)
							.orient("left")
							.ticks(5)
							.tickFormat(d3.format("%"));

//Configure area generator
			var area = d3.svg.area()
				.x(function(d) {
					// console.log(d.x);
					return xScale(dateFormat.parse(d.x));
				})
				.y0(function(d) {
					return yScale(d.y0);  //Updated
				})
				.y1(function(d) {
					return yScale(d.y0 + d.y);  //Updated
				});

//Easy colors accessible via a 10-step ordinal scale
			var color = d3.scale.category10();

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

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

//Uncomment to log the newly loaded data to the console
				//console.log(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] ]
				//
				//Our x value will be the year, and y will be the amount
				//of CO2.  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: [
										{ x: "1961", y: 90589.568 },
										{ x: "1962", y: 94912.961 },
										{ x: "1963", y: 101029.517 },
										…
									   ]
						},
						{
							country: "Bermuda",
							emissions: [
										{ x: "1961", y: 176.016 },
										{ x: "1962", y: 157.681 },
										{ x: "1963", y: 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 x and y values.
				//
				//The x (year) values have to be strings in this case,
				//because the date format function expects a string
				//to parse into a Date object.

//New array with all the years, for referencing later
				var years = ["2010","2011", "2012"];

//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] = {
						state: data[i].State,
						ratio: [],
						population: []
					};

// console.log(data[i].State);

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

//Default value, used in case no value is present
						var amount = null;

// If value is not empty
						if (data[i][years[j]]) {
							var s = "WIC" + years[j];
							var a = "Breakfast" + years[j];
							// console.log(s);
							// console.log(data[i][s]);
							amount = +(data[i][a] / data[i][years[j]]);
							total += +(data[i][a] / data[i][years[j]]);
						}

//Add a new object to the emissions data array
						//for this country
						dataset[i].population.push({
							x: years[j],
							y: amount
						});

}
					dataset[i].ratio.push(total);

}

// console.log(dataset.length);

//Stack the data!
				stack(dataset);

//Now that the data is ready, we can check its
				//min and max values to set our scales' domains!
				xScale.domain([ 
					d3.min(years, function(d) {
						return dateFormat.parse(d);
					}),
					d3.max(years, function(d) {
						return dateFormat.parse(d);
					})
				]);
				//Need to recalcluate the max value for yScale  
				//differently, now that everything is stacked.

//Loop once for each year, and get the total value
				//of CO2 for that year.
				var totals = [];

for (i = 0; i < years.length; i++) {
					totals[i] = 0;
					for (j = 0; j < dataset.length; j++) {
						totals[i] += dataset[j].population[i].y;
					}
				}

yScale.domain([ d3.max(totals), 0 ]);

//Areas
				//
				//Now that we are creating multiple paths, we can use the
				//selectAll/data/enter/append pattern to generate as many
				//as needed.

//Make a path for each country
				var paths = svg.selectAll("path")
					.data(dataset)
					.enter()
					.append("path")
					.attr("class", "area")
					.attr("d", function(d) {
						//Calculate path based on only d.emissions array,
						//not all of d (which would include the country name)
						return area(d.population);
					})
					.attr("stroke", "none")
					.attr("fill", function(d, i) {
						return color(i);
					});

//Append a title with the country name (so we get easy tooltips)
				paths.append("title")
					.text(function(d) {
						return d.state + ", Breatfast Ratio: " + d3.format("%")(d.ratio);
					});

//Create 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);

});

</script>

</body>
</html>

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

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