xxxxxxxxxx<html lang="en"> <head> <meta charset="utf-8"> <title>Dormitory Energy Usage</title> <script type="text/javascript" src="https://d3js.org/d3.v3.js"></script> <style type="text/css"> 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
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