d3 journalism course week 2 - stacked per sqft area chart

<!DOCTYPE html>
<html lang="en">
	<head>
		<meta charset="utf-8">
		<title>Dormitory Energy Usage</title>

body {
				background-color: white;
				font-family: 'Pt Sans', Arial, sans-serif;
			}
			
			#container {
				width: 1000px;
				margin-left: auto;
				margin-right: auto;
				margin-top: 50px;
				padding: 50px;
				background-color: white;
				box-shadow: 3px 3px 5px 6px #ccc;
			}
			
			h1 {
				font-size: 24px;
				margin: 0;
				font-family: "Merriweather";
			}

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

#captionbox {
				font-size: 1.5em;
				font-weight: bold;
			}

svg {
				background-color: #fff;
			}
			path {
				opacity: .6;
			}
			path:hover {
				opacity: .99;
				-webkit-transition: opacity .25s ease-in-out;
				-moz-transition: opacity .25s ease-in-out;
				-ms-transition: opacity .25s ease-in-out;
				-o-transition: opacity .25s ease-in-out;
				transition: opacity .25s ease-in-out;
				cursor: pointer;
			}
			
			.axis path,
			.axis line {
				fill: none;
				stroke: black;
				shape-rendering: crispEdges;
			}
			
			.axis text {
				font-family: 'PT Sans';
				font-size: 13px;
			}

</style>
		<link href='https://fonts.googleapis.com/css?family=Merriweather|PT+Sans' rel='stylesheet' type='text/css'>
	</head>
	<body>
		<div id="container">
			<h1>Yale's Total Energy Usage in Undergrad Dorms: <span id="captionbox"></span> </h1>

<div id="mainGraph">
				
			</div>
			<p>Units: MMBTUs per square foot in each building. Includes electricity, gas, steam, and chilled water. </p>

<p><b>Source</b>: <a href="https://java.facilities.yale.edu/energy/">Yale Facilities</a>, 2011-2015</p>
		</div>
		<script type="text/javascript">

//Set up stack method
			var stack = d3.layout.stack()
							.values(function(d) {
								return d.energy;
							})
							.order("ascend");

//Width, height, padding
			var w = 950;
			var h = 600;
			var padding = [ 60, 10, 50, 100 ];  //Top, right, bottom, left

//Set up date format function (years)
			var dateFormat = d3.time.format("%B-%y");
			var shortDate = d3.time.format("%b-%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(5)
							.tickFormat(function(d) {
								return shortDate(d);
							});

var yAxis = d3.svg.axis()
							.scale(yScale)
							.orient("left")
							.ticks(6);

//Configure area generator
			var area = d3.svg.area()
				.x(function(d) {
					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 20-step ordinal scale
			// var color = d3.scale.category10();
			var color = d3.scale.ordinal()
			  // .domain(["New York", "San Francisco", "Austin"])
			  .range(["#8dd3c7","#ffffb3","#bebada","#fb8072","#80b1d3","#fdb462","#b3de69","#fccde5","#d9d9d9","#bc80bd","#ccebc5","#ffed6f"]);

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

//Load data
			d3.csv("resCollegeEnergy.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 college belongs to 
				//each line, so we will build an array of objects that is
				//structured like this:
				//
				/*

[
						{
							college: "Australia",
							emissions: [
										{ x: "1961", y: 90589.568 },
										{ x: "1962", y: 94912.961 },
										{ x: "1963", y: 101029.517 },
										…
									   ]
						},
						{
							college: "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, 'college' 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
				// Replace with something that extracts all column headers and puts them into a list of strings for future reference. Should use a data parser
				var months = ["August-11","September-11","October-11","November-11","December-11","January-12","February-12","March-12","April-12","May-12","June-12","July-12","August-12","September-12","October-12","November-12","December-12","January-13","February-13","March-13","April-13","May-13","June-13","July-13","August-13","September-13","October-13","November-13","December-13","January-14","February-14","March-14","April-14","May-14","June-14","July-14","August-14","September-14","October-14","November-14","December-14","January-15","February-15","March-15","April-15","May-15","June-15","July-15","August-15","September-15"];

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

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

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

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

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

// If value is not empty, load in our data
						if (data[i][months[j]]) {
							amount = +data[i][months[j]];
						}

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

}

//Stack the data!
				stack(dataset);

//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);

//Now that the data is ready, we can check its
				//min and max values to set our scales' domains!
				xScale.domain([ 
					d3.min(months, function(d) {
						return dateFormat.parse(d);
					}),
					d3.max(months, function(d) {
						return dateFormat.parse(d);
					})
				]);

//Need to recalcluate the max value for yScale  
				//differently, now that everything is stacked.

//Loop once for month, and get total energy used per sq foot on campus
				var totals = [];

for (var l = 0; l < months.length; l++) {
					totals[i] = 0;
					for (var k = 0; k< dataset.length; k++ ) {

totals[i] += dataset[k].energy[l].y;
					}
				}

yScale.domain([1.4* d3.max(totals), 0 ]);

//Areas
				//Make a path for each college
				var paths = svg.selectAll("path")
					.data(dataset)
					.enter()
					.append("path")
					.attr("class", "area")
					.attr("d", function(d) {
						//Calculate path based on only d.energy array,
						return area(d.energy);
					})
					.attr("stroke", "none")
					.attr("fill", function(d, i) {
						return color(i);
					});

//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);

d3.selectAll("path")
					.on("mouseover", function(d) {
					d3.select("#captionbox")
						.text(d.college );
				});
			});

</script>

</body>
</html>

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

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