D3_Mod6_TimeSeries

<!DOCTYPE html>
<html lang="en">
	<head>
		<meta charset="utf-8">
		<title>UK Immigration: Daily Mail Headlines</title>
		<script type="text/javascript" src="https://d3js.org/d3.v3.js"></script>
				<script type="text/javascript" src="/../js/d3.min.js"></script>
		<style type="text/css">
			
			body {
				background-color: white;
				font-family: Helvetica, Arial, sans-serif;
				}

h1 {
				font-size: 24px;
				margin: 0;
				}
            
       h2 {
          font-size: 16px;
          margin:0;
      	}
            
			p {
				font-size: 14px;
				margin: 10px 0 0 0;
				}
           
			svg {
				background-color: white;
				}

path:hover {
				fill: #EED6A5;
			}
			
			.axis path,
			.axis line {
				fill: none;
				stroke: black;
				shape-rendering: crispEdges;
			}
			
			.axis text {
				font-family: sans-serif;
				font-size: 11px;
			}

.line { 
			stroke: black;
			stroke-width: 1px;
			opacity: 0.5;
			fill: none;
			}
			.line:hover { 
				stroke: green;
				stroke-width:2px;
				opacity:1;
			}
			.label{
				font-size: small;
				font-family: avenir;
			}

.tooltip {
		  position: absolute;
			padding: 5px;
		  pointer-events: none;
		  border: 1px solid green;
		/*  border-radius: 12px;*/
			line-height: 20px;
		  opacity: .07;
		  background-color:white;

}

.tooltipTail {
					position: absolute;
					width: 0; 
					height: 0; 
					border-top: 8px solid transparent;
					border-bottom: 8px solid transparent; 
					border-right:25px solid green; 
				}
			.tooltipTail.hidden{
				display:none;
				opacity:0;
			}

</style>
	</head>
	<body>
		
		<div class="line-graph"></div>

var color = d3.scale.linear()
				 .range(['#B8B800','#296629'])

//Set up date formatting and years
			var dateFormat = d3.time.format("%Y");

//Set up scales
			var xScale = d3.time.scale()
								.range([ margin.left, w - margin.left - margin.right]);
			
			var yScale = d3.scale.linear()
								.range([ margin.top, h - margin.bottom ]);

//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.amount);
				});

//Create main SVG
			var svg = d3.select(".line-graph")
						.append("svg")
						.attr("width", w + margin.left + margin.right)
						.attr("height", h);

var tooltip = d3.select("body").append("div") 
						.attr("class","tooltip")

var tooltipTail = d3.select("body").append('div')
					.attr("class","tooltipTail")
					.classed("hidden",true)

//Load data
			d3.csv("data.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:
				/*

[
						{
							location: "Australia",
							values: [
										{ year: 1961, amount: 90589.568 },
										{ year: 1962, amount: 94912.961 },
										{ year: 1963, amount: 101029.517 },
										…
									   ]
						},
						{
							location: "Bermuda",
							values: [
										{ year: 1961, amount: 176.016 },
										{ year: 1962, amount: 157.681 },
										{ year: 1963, amount: 150.347 },
										…
									   ]
						},
						…
					 ]

//New array with all the years, for referencing later
				var years = ["2002", "2003", "2004", "2005", "2006", "2007", "2008", "2009", "2010", "2011", "2012"];
				var years = d3.keys(data[0]).filter( function(key) { return key != "Location" } ) 
				//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 Location name and empty array
					dataset[i] = {
						location: data[i].Location,
						headlines: []
					};

//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].headlines.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);
				// 	})
				// ]);
				xScale.domain(
					d3.extent(years, function(d) { return dateFormat.parse(d)}))

yScale.domain([ 
					d3.max(dataset, function(d) {
						return d3.max(d.headlines, function(d) {
							return +d.amount;
						});
					}),
					0
				]);

//Make a group for each Nationality
				var groups = svg.selectAll("g")
					.data(dataset)
					.enter()
					.append("g");

//Append a title with the Nationality name (so we get easy tooltips)
				// groups.append("title")
				// 	.text(function(d) {
				// 		return d.location;
				// 	});

var text = groups.append("text")
					.attr("class", "label")
					.attr("x", w - 40 )

//Within each group, create a new line/path,
				//binding just the headlines data to each one
				groups.selectAll("path")
					//.data(dataset) //using this format will warp the line color and append World as the 
					//title for every line
					.data(function(d) { return [d]})
					.enter()
					.append("path")
					.attr("class", "line")
					.on("mouseover", function(d) { 
						tooltip1(d);
						//tooltip2(d) 
					})
					.on("mouseout", function(d) {
						mouseout(d)
					})
					//.attr("d", line)
						.attr("d", function(d) { return line(d.headlines)} )
					//.attr("fill", function(d,i) { color(d)}) 
					.attr("fill", "none")
					.append("title").text(function(d) { return d.location})

function mouseout(d){
					tooltip.transition().duration(200).style("opacity",0)
				}

function tooltip1 (d){
						var yl = yScale(+d.headlines[d.headlines.length -1 ].amount) 
						tooltipTail(d)
						text.attr("y", yScale(+d.headlines[d.headlines.length -1 ].amount) + 4 )

tooltip.style("opacity",0)
		  				tooltip.style("border" , "3px solid green").transition().duration(1000).style("opacity",1)
      				tooltip.html(
							'<span class="countryName">' + d.location + '</span><br/>') //+ 
							// '2012: <span class="value">' + d. + '%</span><br/>'  + 
							// "2012"+ ": " + '<span class="value">' + "2010" + '%</span>')
						//.style("left", (d3.event.pageX - 30) + "px")
						//.style("top", (d3.event.pageY -50 ) + "px")
				// 	var tailX = w -70;
				// var tailY = yScale(+d.headlines[d.headlines.length -1 ].amount) 
						 	.style("left", w - 47 + "px")
							.style("top", yl - 10 + "px")

}

function tooltip2 (d) {
						var length = d.location

console.log(length)
						var yl = yScale(+d.headlines[d.headlines.length -1 ].amount) 
						text.attr("y", yScale(+d.headlines[d.headlines.length -1 ].amount) + 4 )

tooltip.style("opacity",0)
				  	tooltip.style("border" , "3px solid green").transition().duration(1000).style("opacity",1)
          	tooltip.html(
									'<span class="countryName">' + d.location + '</span><br/>') //+ 
									// '2012: <span class="value">' + d. + '%</span><br/>'  + 
									// "2012"+ ": " + '<span class="value">' + "2010" + '%</span>')
								.style("left", (d3.event.pageX - (length.length * 4)) + "px")
								.style("top", (d3.event.pageY -50 ) + "px")
				}

function tooltipTail (d) {

var currentYear = d.headlines
						var tailX = w -70;
						var tailY = yScale(+d.headlines[d.headlines.length -1 ].amount) 
					  d3.select(".tooltipTail")
					  	.classed("hidden",false)
					  	.transition().duration(1000)
							.style("left", tailX + "px")
							.style("top", tailY + "px")
				}

//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)
                // Add rotated "Number of Headlines" unit of measure text to x-axis
                        .append("text")
                        .attr("class", "label")
                        .attr("transform", "rotate(-90)")
                        .attr("x", -20)
                        .attr("y", 5)
                        .attr("dy", ".91em")
                        .style("text-anchor", "end")
                        .text("Percent of Engery Generation ");

});
			//End USA data load function

</script>

</body>
</html>

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

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