nydame/index.html

## index.html
<!DOCTYPE html>
<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="http://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="http://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>

## obesity-rates-by-year.csv

          
            Country
            Data
            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

            
              United States
              measured
              0.1372920797
              0.1536677972
              
              
              0.2181977146
              
              
              0.2937643484
              
              0.2940559119
              
              0.3125682329
              
              0.3314561096
              
              0.3240610504
              
              0.3457215378
              
              0.3443611119

            
              Canada
              self-reported
              
              
              0.1365326861
              
              
              0.1595444607
              
              0.1679761279
              
              0.17924919
              
              0.1888175504
              
              0.1923309785

            
              Mexico
              measured
              
              
              0.2819796396
              
              
              0.3051071691
              
              
              0.3289594364

            
              Spain
              self-reported
              
              
              0.097575
              
              
              0.090487
              
              0.110525
              
              0.119818
              
              
              0.12003
              
              0.12143
              
              
              0.138948
              
              
              0.140604
              
              0.1522178198

            
              France
              self-reported
              
              
              0.061681
              0.060188
              0.066347
              0.066248
              0.071629
              0.070605
              0.087637
              0.077696
              0.084232
              
              0.090114
              
              0.090777
              
              0.098537
              
              0.10743
              
              0.111651
              
              0.122403

            
              Italy
              self-reported
              
              
              0.068203
              
              
              0.083112
              
              
              0.086724
              0.0875604861
              0.0848055899
              0.0828324437
              0.0861655199
              0.0860337329
              0.0833290314
              0.0862485294

            
              England
              measured
              
              
              0.142716
              0.144369
              0.14516
              0.151147
              0.15887
              0.167192
              0.176034
              0.183015
              0.190308
              0.200086
              0.212824
              0.2146687562
              0.2158770704
              0.2210202756
              0.2234572976
              0.2285242412
              0.2271382578
              0.2338699502
              0.2175313457
              0.2487609527
              0.2327842658

            
              Switzerland
              self-reported
              
              
              0.050836
              
              
              0.062105
              
              
              0.07183
              
              
              0.075202
              
              
              0.090458

            
              Korea
              measured
              
              
              0.02367
              
              
              0.03165
              
              
              0.033893
              
              
              0.037455
              
              
              0.0437718291

            
              Australia
              measured
              
              
              0.1820782099
              
              
              0.2374963855
              
              
              0.2632963039
	<!DOCTYPE html>
	<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="http://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="http://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>
Country	Data	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
United States	measured	0.1372920797	0.1536677972			0.2181977146								0.2937643484		0.2940559119		0.3125682329		0.3314561096		0.3240610504		0.3457215378		0.3443611119
Canada	self-reported									0.1365326861								0.1595444607		0.1679761279		0.17924919		0.1888175504		0.1923309785
Mexico	measured														0.2819796396						0.3051071691						0.3289594364
Spain	self-reported			0.097575				0.090487		0.110525		0.119818				0.12003		0.12143			0.138948			0.140604		0.1522178198
France	self-reported				0.061681	0.060188	0.066347	0.066248	0.071629	0.070605	0.087637	0.077696	0.084232		0.090114		0.090777		0.098537		0.10743		0.111651		0.122403
Italy	self-reported									0.068203					0.083112					0.086724	0.0875604861	0.0848055899	0.0828324437	0.0861655199	0.0860337329	0.0833290314	0.0862485294
England	measured					0.142716	0.144369	0.14516	0.151147	0.15887	0.167192	0.176034	0.183015	0.190308	0.200086	0.212824	0.2146687562	0.2158770704	0.2210202756	0.2234572976	0.2285242412	0.2271382578	0.2338699502	0.2175313457	0.2487609527	0.2327842658
Switzerland	self-reported						0.050836					0.062105					0.07183					0.075202					0.090458
Korea	measured												0.02367			0.03165				0.033893			0.037455			0.0437718291
Australia	measured									0.1820782099													0.2374963855				0.2632963039