Canadian immigrant population between 1995 and 2006

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		<title>Canadian immigrant population</title>
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<h1>Canadian immigrant population</h1>

<p>Between 1995 and 2006, for Canada, provinces and territories. <br>
Source: <a href="https://www12.statcan.ca/census-recensement/2006/dp-pd/hlt/97-557/T403-eng.cfm?Lang=E&T=403&GH=4&SC=1&S=99&O=A">Statistics Canada</a>, 2006</p>

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				.x(function(d) {
					return xScale(dateFormat.parse(d.year));
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				.y(function(d) {
					return yScale(+d.amount);
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			d3.csv("population-immigrant-status-and-period_2006_canada.csv", function(data) {

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				//Remember, each line requires an array of x/y pairs;
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				//
				//	[ [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:
				/*

[
						{
							Province: "Ontario",
							ImmigrantPopulation: [
										{ year: 1995, amount: 462080 },
										{ year: 2000, amount: 471470 },
										{ year: 2006, amount: 580740 },
										…
									   ]
						},
						{
							country: "Quebec",
							ImmigrantPopulation: [
										{ year: 1995, amount: 13215 },
										{ year: 2000, amount: 14920 },
										{ year: 2006, amount: 31190 },
										…
									   ]
						},
						…
					 ]

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				//Note that this is an array of objects. Each object
				//contains two values, 'country' and 'ImmigrantPopulation'.
				//The 'ImmigrantPopulation' value is itself an array, containing
				//more objects, each one holding 'year' and 'amount' values.

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						if (data[i][years[j]]) {
							//Add a new object to the ImmigrantPopulation data array
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								amount: data[i][years[j]]
							});
						}

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			//End data load function

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