xxxxxxxxxx<html lang="en"> <head> <meta charset="utf-8" /> <meta name="viewport" content="width=device-width, initial-scale=1" /> <title>Global Obesity Trends</title> <script type="text/javascript" src="https://d3js.org/d3.v3.js"></script> <style type="text/css"> body { background-color: whitesmoke; font-family: 'Raleway', Helvetica, sans-serif; font-weight: 300; } h1 { font-weight: 400; line-height: 1.5em; border-bottom: 1px solid gray; } svg { background-color: mistyrose; width: 100%; } @media screen and (min-width: 768px) { svg { width: 75%; } } .axis path, .axis line { fill: none; stroke: black; shape-rendering: crispEdges; } .axis text { font-family: sans-serif; font-size: 11px; } .y.axis path, .y.axis line { opacity: 1; } p { font-size: 14px; margin: 10px 0; } </style> </head> <body> <h1>Trends in Obesity by Country</h1> <p>Obesity rates for selected OECD countries between 1973 and 2014. (Hover over each line to reveal country name. Data is not available for the entire period for all countries.) Some data were self-reported (dotted lines), whereas others were actually measured (solid lines). Source: <a href="https://www.oecd.org/health/health-systems/Fig2-Obesity-rates.xls">OECD.org</a></p> <svg id="line-chart" viewBox="0 0 1000 1000" preserveAspectRatio="xMidYMid"> <!-- --> </svg> <script type="text/javascript"> var svg1 = d3.select("svg"), h = document.getElementById('line-chart').scrollHeight, w = document.getElementById('line-chart').scrollWidth, padding = [50, 20, 20, 120], yScale = d3.scale.linear().range([ padding[0], h - padding[2] ]), xScale = d3.time.scale().range([padding[3], w - padding[1] ]), xAxis = d3.svg.axis().scale(xScale).orient("bottom").tickFormat(function(d) {return dateFormat(d);}), yAxis = d3.svg.axis().scale(yScale).orient("left").tickFormat(d3.format("%")), xOffset = 10, yOffset = xOffset; //Set up date formatting and years var dateFormat = d3.time.format("%Y"); // //BETTER XSCALE & AXES? // var xScale = d3.time.scale() // .range([ padding[3], w - padding[1] - padding[3] ]); //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.rate); }); //Load data d3.csv("obesity-rates-by-year.csv", function(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] ] // //We, however, are using 'year' as x and 'amount' as y. //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: [ { year: 1961, amount: 90589.568 }, { year: 1962, amount: 94912.961 }, { year: 1963, amount: 101029.517 }, … ] }, { country: "Bermuda", emissions: [ { year: 1961, amount: 176.016 }, { year: 1962, amount: 157.681 }, { year: 1963, amount: 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 'year' and 'amount' values. //New array with all the years, for referencing later var years = ["1973", "1978", "1987", "1990", "1991", "1992", "1993", "1994", "1995", "1996", "1997", "1998", "1999", "2000", "2001", "2002", "2003", "2004", "2005", "2006", "2007", "2008", "2009", "2010", "2011", "2012", "2013", "2014"];console.log(data); //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] = { country: data[i]["Country"], dataType: data[i]["Data"], obesityRates: [] }; //Loop through all the years for (var j = 0; j < years.length; j++) { // If value is not empty if (data[i][years[j]]) { //Add a new object to the emissions data array //for this country if one exists for this year dataset[i]["obesityRates"].push({ year: years[j], rate: data[i][years[j]] }); } } } console.log(dataset); //Set scale domains xScale.domain([ d3.min(years, function(d) { return dateFormat.parse(d); }), d3.max(years, function(d) { return dateFormat.parse(d); }) ]); yScale.domain([ d3.max(dataset, function(d) { return d3.max(d["obesityRates"], function(e) { return +e["rate"]; }); }), 0 ]); //Make a group for each country var groups = svg1.selectAll("g") .data(dataset) .enter() .append("g") .classed("self-reported", function(d) { if (d.dataType === "self-reported") { return true; } else { return false; } }); //Append a title with the country name (so we get easy tooltips) groups.append("title") .text(function(d) { return d.country; }); //Within each group, create a new line/path, //binding the obesity rate data to each one groups.selectAll("path") .data(function(d) { return [ d.obesityRates ]; }) .enter() .append("path") .attr("class", "line") .attr("d", line) .attr("fill", "none") .attr("stroke", "gray") .attr("stroke-width", 2); // Make lines from self-reported data dashed d3.selectAll(".self-reported path") .attr("stroke-dasharray", "5,5"); //Axes svg1.append("g") .attr("class", "x axis") .attr("transform", "translate(0," + (h - padding[2]) + ")") .call(xAxis); svg1.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
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