enjulee/index.html

## index.html
<!DOCTYPE html>
<html lang="en">
	<head>
		<meta charset="utf-8">
		<title>Conditional Styling</title>
		<script type="text/javascript" src="http://d3js.org/d3.v3.js"></script>
		<style type="text/css">

			body {
				background-color: white;
				font-family: Helvetica, Arial, sans-serif;
			}

			h1 {
				font-size:24x;
				margin: 0;
			}

			p {
				font-size: 14px;
				margin: 10px 0 0 0;
			}
			h3 {
				font-size:9px;
				color:grey;
			}

			h4 {
				font-size:9px;
				color:steelblue;
			}


.legendText {
				color: black;
				font-size: 12px;
				font-family: sans-serif;
			}
			svg {
				background-color: white;
			}

			path:hover {
			opacity: 1;
			stroke-width:4;
			fill: "red";
			}

			path {
				stroke: lightgray;
				stroke-width: 2;
			}

			g.highlight path {
				stroke: steelblue;
				stroke-width: 4;
			}

			.axis path,
			.axis line {
				fill: none;
				stroke: black;
				stroke-width: 2;
				shape-rendering: crispEdges;
			}

			.axis text {
				font-family: sans-serif;
				font-size: 10px;
			}

		</style>
	</head>
	<body>

		<h1>Annual Productivity Growth Among OECD Member Countries</h1>

		<p>The following graphs show changes in annual productivity growth among OECD member countries between 1985 and 2014. The graph shows that South Korea recorded highest annual productivity growth rate of more than 7 percent in 1988 and that its productivity growth has pluctuated signitificantly before and after the country recorded its second highest productivity growth rate in 1999.</p>

		<h3> <em>source: WWW.OECD.org, 2015</em></h3>


		<script type="text/javascript">


			//Dimensions and padding
			var w = 1000;
			var h = 300;
			var padding = [ 20, 10, 50, 100 ];  //Top, right, bottom, left


			var dateFormat = d3.time.format("%Y");


			var xScale = d3.time.scale()
								.range([ padding[3], w - padding[1] - padding[3] ]);

			var yScale = d3.scale.linear()
								.range([ padding[0], h - padding[2] ]);


			var xAxis = d3.svg.axis()
							.scale(xScale)
							.orient("bottom")
							.ticks(30)
							.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.amount);
				});


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


			//Load USA data
			d3.csv("multifactorproductivity.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:
				//

				var years = ["1985", "1986", "1987", "1988", "1989", "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"];

				//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].countryName,
						productivity: []
					};

					//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
							dataset[i].productivity.push({
								year: years[j],
								amount: data[i][years[j]]
							});
						}

					}

				}

				//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);


				//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.productivity, function(d) {
							return +d.amount;
						});
					}),
					0
				]);


				//Make a group for each country
				var groups = svg.selectAll("g")
					.data(dataset)
					.enter()
					.append("g")
					.classed("highlight", function(d) {

						if (d.country == "Korea") {
							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 just the emissions data to each one
				groups.selectAll("path")
					.data(function(d) {
						return [ d.productivity ];
					})
					.enter()
					.append("path")
					.attr("class", "line")
					.attr("d", line)
					.attr("fill", "none")
					.attr("stroke-width", 2);


				//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);

			svg.append("text")
                    .attr("class", "legendText")
                    .attr("text-anchor", "end")
                    .attr("x", w-padding[3])
                    .attr("y", h-10)
                    .text("Year");

                svg.append("text")
                    .attr("class", "legendText")
                    .attr("text-anchor", "end")
                    .attr("y", 75)
                    .attr("x",-30)
                    .attr("transform", "rotate(-90)")
                    .text("Annual Productivity Growth Rate (%)");
                svg.append("text")
                    .attr("class", "legendText")
                    .attr("y",20)
                    .attr("x",190)
                    .text("South Korea");
                                			});
			//End USA data load function


  </script>
	</body>
</html>

## multifactorproductivity.csv

          
            countryName
            1985
            1986
            1987
            1988
            1989
            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

            
              Australia
              0.5
              0.4
              0.3
              0.4
              0.1
              3.1
              0.5
              3
              1.4
              1.2
              1.2
              2.4
              2.1
              2.7
              0.4
              0.6
              2.9
              1
              1.4
              0.2
              0.2
              0.2
              0.1
              0.1
              0.5
              0.4
              0.9
              1.6
              0.5
              0.5

            
              Sweden
              1
              1.1
              1
              1.5
              0.1
              1.5
              0.5
              0.4
              0.1
              2.3
              1.6
              0.5
              2.5
              1.7
              1.1
              2.3
              1
              2.2
              2.6
              2.9
              1.7
              2.6
              0.1
              1.5
              2.1
              3.5
              0.6
              1.5
              0.5
              0.7

            
              Belgium
              0.1
              1.3
              1.5
              2.7
              1.5
              0.4
              2.2
              1.7
              0.9
              2.7
              1
              1.6
              1.5
              1.5
              1.4
              0.2
              1
              1
              0.3
              2
              0.2
              0.5
              0.6
              1
              1
              2
              1
              0.1
              2
              2

            
              United Kingdom
              0.7
              2.1
              3.4
              0.3
              0.2
              0.5
              1
              2
              2.2
              1.7
              0.3
              0.9
              1.3
              1
              1.5
              2.5
              1.2
              2
              3.4
              1.7
              0.5
              1.9
              1.1
              1.9
              1.9
              1.1
              0.8
              0.3
              1.9
              1

            
              Netherlands
              0.9
              0.6
              0.4
              1.2
              1.4
              0.9
              0.2
              0.4
              0.4
              1.1
              0.2
              3.1
              1.3
              1.4
              0.8
              2.3
              2.1
              0.2
              0.5
              1
              1.8
              1.5
              1.1
              3
              0.2
              1.2
              0.4
              1
              0.1
              3

            
              Canada
              0.9
              2.2
              0.4
              1
              1
              1.3
              2
              1
              1.5
              1.9
              0.9
              1.3
              1.9
              1.5
              1.9
              2.3
              0.2
              0.9
              1
              0.1
              1.5
              0.4
              1.2
              0.3
              1.5
              1.3
              1.2
              1
              0.7
              1.3

            
              United States
              1.1
              1.3
              0.3
              0.8
              0.5
              0.7
              0.1
              2.6
              0.1
              0.8
              0.2
              1.7
              0.9
              1.4
              1.8
              1.6
              0.8
              1.8
              2.2
              2
              1.4
              0.3
              0.3
              0.3
              1
              2.3
              0.1
              0.4
              0.4
              0.4

            
              Spain
              3
              1.1
              1.3
              1.4
              1.2
              0.5
              1
              1.4
              0.9
              2.1
              0.4
              0.6
              2.2
              0.2
              1
              0.2
              0.1
              2.1
              1.9
              0.3
              1.2
              2
              0.3
              1.9
              2
              0.7
              0.1
              0.4
              0.2
              1

            
              Korea
              3.2
              4.8
              5.9
              7.7
              4.1
              6
              5.4
              2.7
              2.9
              4.2
              4
              3.5
              3.9
              0.7
              7.4
              2.8
              1.6
              4.5
              2.8
              3
              2.8
              3
              4.4
              3.2
              0.4
              4
              4.3
              0.3
              3.2
              0.7

            
              Portugal
              3.4
              4.2
              3.2
              4.8
              3.2
              1.8
              3.7
              1.7
              3.1
              0.5
              1.3
              1.1
              1.2
              0.2
              0.9
              2
              1.5
              1.5
              1
              1
              3
              0.7
              0.7
              1.3
              1.9
              2
              1.5
              3
              1
              1.5

            
              Japan
              4.8
              0.8
              2.3
              4.6
              3.3
              3.9
              1.3
              1
              0.9
              2.2
              1
              0.9
              0.9
              1.3
              0.9
              1.2
              0.1
              0.8
              0.9
              1.8
              0.7
              0.4
              1.3
              2
              1.5
              4
              2
              1
              1.5
              0.2
	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="utf-8">
	<title>Conditional Styling</title>
	<script type="text/javascript" src="http://d3js.org/d3.v3.js"></script>
	<style type="text/css">

	body {
	background-color: white;
	font-family: Helvetica, Arial, sans-serif;
	}

	h1 {
	font-size:24x;
	margin: 0;
	}

	p {
	font-size: 14px;
	margin: 10px 0 0 0;
	}
	h3 {
	font-size:9px;
	color:grey;
	}

	h4 {
	font-size:9px;
	color:steelblue;
	}


	.legendText {
	color: black;
	font-size: 12px;
	font-family: sans-serif;
	}
	svg {
	background-color: white;
	}

	path:hover {
	opacity: 1;
	stroke-width:4;
	fill: "red";
	}

	path {
	stroke: lightgray;
	stroke-width: 2;
	}

	g.highlight path {
	stroke: steelblue;
	stroke-width: 4;
	}

	.axis path,
	.axis line {
	fill: none;
	stroke: black;
	stroke-width: 2;
	shape-rendering: crispEdges;
	}

	.axis text {
	font-family: sans-serif;
	font-size: 10px;
	}

	</style>
	</head>
	<body>

	<h1>Annual Productivity Growth Among OECD Member Countries</h1>

	<p>The following graphs show changes in annual productivity growth among OECD member countries between 1985 and 2014. The graph shows that South Korea recorded highest annual productivity growth rate of more than 7 percent in 1988 and that its productivity growth has pluctuated signitificantly before and after the country recorded its second highest productivity growth rate in 1999.</p>

	<h3> <em>source: WWW.OECD.org, 2015</em></h3>


	<script type="text/javascript">


	//Dimensions and padding
	var w = 1000;
	var h = 300;
	var padding = [ 20, 10, 50, 100 ]; //Top, right, bottom, left




	var dateFormat = d3.time.format("%Y");




	var xScale = d3.time.scale()
	.range([ padding[3], w - padding[1] - padding[3] ]);

	var yScale = d3.scale.linear()
	.range([ padding[0], h - padding[2] ]);



	var xAxis = d3.svg.axis()
	.scale(xScale)
	.orient("bottom")
	.ticks(30)
	.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.amount);
	});



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



	//Load USA data
	d3.csv("multifactorproductivity.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:
	//

	var years = ["1985", "1986", "1987", "1988", "1989", "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"];

	//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].countryName,
	productivity: []
	};

	//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
	dataset[i].productivity.push({
	year: years[j],
	amount: data[i][years[j]]
	});
	}

	}

	}

	//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);



	//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.productivity, function(d) {
	return +d.amount;
	});
	}),
	0
	]);



	//Make a group for each country
	var groups = svg.selectAll("g")
	.data(dataset)
	.enter()
	.append("g")
	.classed("highlight", function(d) {

	if (d.country == "Korea") {
	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 just the emissions data to each one
	groups.selectAll("path")
	.data(function(d) {
	return [ d.productivity ];
	})
	.enter()
	.append("path")
	.attr("class", "line")
	.attr("d", line)
	.attr("fill", "none")
	.attr("stroke-width", 2);


	//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);

	svg.append("text")
	.attr("class", "legendText")
	.attr("text-anchor", "end")
	.attr("x", w-padding[3])
	.attr("y", h-10)
	.text("Year");

	svg.append("text")
	.attr("class", "legendText")
	.attr("text-anchor", "end")
	.attr("y", 75)
	.attr("x",-30)
	.attr("transform", "rotate(-90)")
	.text("Annual Productivity Growth Rate (%)");
	svg.append("text")
	.attr("class", "legendText")
	.attr("y",20)
	.attr("x",190)
	.text("South Korea");
	});
	//End USA data load function




	</script>
	</body>
	</html>
countryName	1985	1986	1987	1988	1989	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
Australia	0.5	0.4	0.3	0.4	0.1	3.1	0.5	3	1.4	1.2	1.2	2.4	2.1	2.7	0.4	0.6	2.9	1	1.4	0.2	0.2	0.2	0.1	0.1	0.5	0.4	0.9	1.6	0.5	0.5
Sweden	1	1.1	1	1.5	0.1	1.5	0.5	0.4	0.1	2.3	1.6	0.5	2.5	1.7	1.1	2.3	1	2.2	2.6	2.9	1.7	2.6	0.1	1.5	2.1	3.5	0.6	1.5	0.5	0.7
Belgium	0.1	1.3	1.5	2.7	1.5	0.4	2.2	1.7	0.9	2.7	1	1.6	1.5	1.5	1.4	0.2	1	1	0.3	2	0.2	0.5	0.6	1	1	2	1	0.1	2	2
United Kingdom	0.7	2.1	3.4	0.3	0.2	0.5	1	2	2.2	1.7	0.3	0.9	1.3	1	1.5	2.5	1.2	2	3.4	1.7	0.5	1.9	1.1	1.9	1.9	1.1	0.8	0.3	1.9	1
Netherlands	0.9	0.6	0.4	1.2	1.4	0.9	0.2	0.4	0.4	1.1	0.2	3.1	1.3	1.4	0.8	2.3	2.1	0.2	0.5	1	1.8	1.5	1.1	3	0.2	1.2	0.4	1	0.1	3
Canada	0.9	2.2	0.4	1	1	1.3	2	1	1.5	1.9	0.9	1.3	1.9	1.5	1.9	2.3	0.2	0.9	1	0.1	1.5	0.4	1.2	0.3	1.5	1.3	1.2	1	0.7	1.3
United States	1.1	1.3	0.3	0.8	0.5	0.7	0.1	2.6	0.1	0.8	0.2	1.7	0.9	1.4	1.8	1.6	0.8	1.8	2.2	2	1.4	0.3	0.3	0.3	1	2.3	0.1	0.4	0.4	0.4
Spain	3	1.1	1.3	1.4	1.2	0.5	1	1.4	0.9	2.1	0.4	0.6	2.2	0.2	1	0.2	0.1	2.1	1.9	0.3	1.2	2	0.3	1.9	2	0.7	0.1	0.4	0.2	1
Korea	3.2	4.8	5.9	7.7	4.1	6	5.4	2.7	2.9	4.2	4	3.5	3.9	0.7	7.4	2.8	1.6	4.5	2.8	3	2.8	3	4.4	3.2	0.4	4	4.3	0.3	3.2	0.7
Portugal	3.4	4.2	3.2	4.8	3.2	1.8	3.7	1.7	3.1	0.5	1.3	1.1	1.2	0.2	0.9	2	1.5	1.5	1	1	3	0.7	0.7	1.3	1.9	2	1.5	3	1	1.5
Japan	4.8	0.8	2.3	4.6	3.3	3.9	1.3	1	0.9	2.2	1	0.9	0.9	1.3	0.9	1.2	0.1	0.8	0.9	1.8	0.7	0.4	1.3	2	1.5	4	2	1	1.5	0.2