UK Immigration: Daily Mail Headlines (KnightD32015 Module 6) v1

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

<h2>Size and Focus of Daily Mail Headlines on Migrant Workers. Source: <a href="https://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>

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							.ticks(15)
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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()
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					.attr("class", "line")
					.attr("d", line)
					.attr("fill", "none")
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					.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>

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

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