IconicImagery · April 22, 2015 18:15
diff --git a/index.html b/index.html
 <!DOCTYPE html>
 <html lang="en">
 	<head>
 		<meta charset="utf-8">
 		<title>UK Immigration: Daily Mail Headlines</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: 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;
 			}

 		</style>
 	</head>
 	<body>

 		<h1>UK Immigration: Daily Mail Headlines</h1>

 		<h2>Size and Focus of Daily Mail Headlines on Migrant Workers. Source: <a href="http://www.theguardian.com/news/reality-check/interactive/2014/jan/06/uk-migration-statistics-v-headlines">Guardian</a>, 2014</h2>
 		
 		
 		<p><i>"Migrants, this time foreign workers, are yet again in the headlines today as political parties debate the causes of Britain's financial problems. It's a story that is receiving a lot of attention in the British press. 

            That's slightly problematic because, when it comes to objective reporting, there are few topics that invoke as much criticism of the British Press as immigration."</i></p>
        <p></p>
        <p>The chart below illustrates the numner of migrant worker headlines in the The Daily Mail (aka "The Daily Heil, "The Daily Fail") tabloid newspaper from 1997-2013 by Nationality. Unlike the Guardian chart, this one shows all Nationalities in their dataset. </p>
 		
 		

 		<script type="text/javascript">		
            
            
 			//Dimensions and padding
 			var w = 800;
 			var h = 600;
 			var padding = [ 20, 10, 50, 50 ];  //Top, right, bottom, left



 			//Set up date formatting and years
 			var dateFormat = d3.time.format("%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(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 the empty SVG image
 			var svg = d3.select("body")
 						.append("svg")
 						.attr("width", w)
 						.attr("height", h);



 			//Load data
 			d3.csv("UKMedia_Immigration_ DailyMail.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 = ["1997", "1998", "1999", "2000", "2001", "2002", "2003", "2004", "2005", "2006", "2007", "2008", "2009", "2010", "2011", "2012", "2013"];

 				//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 Nationality name and empty array
 					dataset[i] = {
 						Nationality: data[i].Nationality,
 						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);
 					})
 				]);

 				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.Nationality;
 					});

 				//Within each group, create a new line/path,
 				//binding just the headlines data to each one
 				groups.selectAll("path")
 					.data(function(d) {
 						return [ d.headlines ];
 					})
 					.enter()
 					.append("path")
 					.attr("class", "line")
 					.attr("d", line)
 					.attr("fill", "none")
 					.attr("stroke", "#981E32")
 					.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)
                // 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("Number of Headlines");
                

 			});
 			//End USA data load function


 		</script>

 	</body>
 </html>
diff --git a/UKMedia_Immigration_ DailyMail.csv b/UKMedia_Immigration_ DailyMail.csv
	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="utf-8">
	<title>UK Immigration: Daily Mail Headlines</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: 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;
	}

	</style>
	</head>
	<body>

	<h1>UK Immigration: Daily Mail Headlines</h1>

	<h2>Size and Focus of Daily Mail Headlines on Migrant Workers. Source: <a href="http://www.theguardian.com/news/reality-check/interactive/2014/jan/06/uk-migration-statistics-v-headlines">Guardian</a>, 2014</h2>


	<p><i>"Migrants, this time foreign workers, are yet again in the headlines today as political parties debate the causes of Britain's financial problems. It's a story that is receiving a lot of attention in the British press.

	That's slightly problematic because, when it comes to objective reporting, there are few topics that invoke as much criticism of the British Press as immigration."</i></p>
	<p></p>
	<p>The chart below illustrates the numner of migrant worker headlines in the The Daily Mail (aka "The Daily Heil, "The Daily Fail") tabloid newspaper from 1997-2013 by Nationality. Unlike the Guardian chart, this one shows all Nationalities in their dataset. </p>



	<script type="text/javascript">


	//Dimensions and padding
	var w = 800;
	var h = 600;
	var padding = [ 20, 10, 50, 50 ]; //Top, right, bottom, left



	//Set up date formatting and years
	var dateFormat = d3.time.format("%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(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 the empty SVG image
	var svg = d3.select("body")
	.append("svg")
	.attr("width", w)
	.attr("height", h);



	//Load data
	d3.csv("UKMedia_Immigration_ DailyMail.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 = ["1997", "1998", "1999", "2000", "2001", "2002", "2003", "2004", "2005", "2006", "2007", "2008", "2009", "2010", "2011", "2012", "2013"];

	//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 Nationality name and empty array
	dataset[i] = {
	Nationality: data[i].Nationality,
	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);
	})
	]);

	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.Nationality;
	});

	//Within each group, create a new line/path,
	//binding just the headlines data to each one
	groups.selectAll("path")
	.data(function(d) {
	return [ d.headlines ];
	})
	.enter()
	.append("path")
	.attr("class", "line")
	.attr("d", line)
	.attr("fill", "none")
	.attr("stroke", "#981E32")
	.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)
	// 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("Number of Headlines");


	});
	//End USA data load function


	</script>

	</body>
	</html>
Nationality	1997	1998	1999	2000	2001	2002	2003	2004	2005	2006	2007	2008	2009	2010	2011	2012	2013
Polish	0	0	1	5	2	2	2	5	5	24	32	12	8	7	11	4	22
Romanian	0	8	1	9	2	1	2	5	5	24	13	1	5	7	3	8	80
Bulgarian	1	2	2	1	2	0	1	2	0	22	5	1	1	3	1	3	63
SouthAfrican	0	0	2	4	1	1	1	0	2	3	2	3	0	3	0	0	3
Australian	0	2	3	5	10	1	8	2	4	1	4	6	7	2	5	1	6
Indian	0	3	5	7	5	4	6	5	3	1	8	4	4	9	6	2	11
American	0	6	11	19	16	13	21	4	12	10	10	13	14	14	10	12	10
Pakistani	1	1	4	7	7	1	2	2	6	3	4	2	3	4	2	5	9
Bangladeshi	0	0	1	2	0	0	1	0	1	1	3	2	0	0	1	0	5