ryestew/en_flux_immigr_continent-absolute.csv

## en_flux_immigr_continent-absolute.csv

          
            continent
            1998
            2007
            2008
            2009
            2010
            2011
            2012
            2013

            
              Africa
              75396
              103407
              108178
              109361
              105683
              101098
              102592
              109665

            
              Asia 
              29725
              43324
              44723
              48065
              44404
              43134
              44047
              48770

            
              America
              13518
              19239
              19922
              20285
              23314
              21096
              20633
              20734

            
              Europe
              4318
              10528
              10395
              10643
              10194
              11254
              11471
              11957

            
              Oceania
              473
              703
              826
              838
              687
              821
              805
              716

## index.html
<!DOCTYPE html>
<html lang="en">
	<head>
		<meta charset="utf-8">
		<title>Stacked area chart</title>
		<script type="text/javascript" src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.6/d3.min.js"></script>
		<style type="text/css">

			body {
				margin: 0;
				background-color: lightGray;
				font-family: Helvetica, Arial, sans-serif;
			}

			#container {
				width: 800px;
				margin-left: auto;
				margin-right: auto;
				margin-top: 50px;
				padding: 50px;
				background-color: white;
				box-shadow: 3px 3px 5px 6px #ccc;
			}

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

			p {
				font-size: 14px;
				margin: 10px 0 0 0;
			}

			g.bar {
				cursor: pointer;
			}

			g.bar text {
				font-size: 11px;
				font-weight: bold;
				text-anchor: end;
				opacity: 0;
			}

			g.bar:hover rect {
				fill: #f7e12c;
			}

			g.bar:hover text {
				opacity: 1;
			}

			svg {
				background-color: white;
			}

			path:hover {
				fill: red;
			}

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

			.axis text {
				font-family: sans-serif;
				font-size: 11px;
			}

			#tooltip {
				visibility: hidden;
				position: fixed;
				background-color: #ffffff;
				padding: 5px;
				border-left: 3px #9fccd5 solid;
			}
			#tooltip p {
				font-size: 10px;
				margin: 0;
				padding: 0;
			}
			#tooltip strong {
				color: #888;
			}


		</style>
	</head>
	<body>
		<div id="container">
			<h1>Immigration flows to France by continent of origin</h1>

			<p>First residence permits issued for one year or more, by continent of origin. Source: <a href="https://www.ined.fr/en/everything_about_population/data/france/immigration-flow/year-continent/">Institute National d'Étude Démographique</a>, 2014</p>
		</div>

		<script type="text/javascript">


			//Set up stack method
			var stack = d3.layout.stack()
							.values(function(d) {
								return d.immigrants;
							})
							.order("reverse");


			//Width, height, padding
			var w = 700;
			var h = 600;
			var padding = [ 20, 10, 50, 100 ];  //Top, right, bottom, left


			//Set up date format function (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(8)
							.tickFormat(function(d) {
								return dateFormat(d);
							});

			var yAxis = d3.svg.axis()
							.scale(yScale)
							.orient("left")
							.ticks(5);

			//Configure area generator
			var area = d3.svg.area()
				.x(function(d) {
					return xScale(dateFormat.parse(d.x));
				})
				.y0(function(d) {
					return yScale(d.y0);  //Updated
				})
				.y1(function(d) {
					return yScale(d.y0 + d.y);  //Updated
				});


			 var tooltip = document.getElementById("tooltip");

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

//Easy colors accessible via a 10-step ordinal scale
			// var color = d3.scale.category10();
			//nahhh lets go with a custom set
			var color = d3.scale.ordinal()
                        .range(["#c4cefc", "#8e93fa", "#71a1e2", "#469bc7", "#09839d"]);


			//Load data
			d3.csv("en_flux_immigr_continent-absolute.csv", function(data) {

				//Uncomment to log the newly loaded data to the console
				//console.log(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] ]
				//
				//Our x value will be the year, and y will be the amount
				//of CO2.  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: [
										{ x: "1961", y: 90589.568 },
										{ x: "1962", y: 94912.961 },
										{ x: "1963", y: 101029.517 },
										…
									   ]
						},
						{
							country: "Bermuda",
							emissions: [
										{ x: "1961", y: 176.016 },
										{ x: "1962", y: 157.681 },
										{ x: "1963", y: 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 x and y values.
				//
				//The x (year) values have to be strings in this case,
				//because the date format function expects a string
				//to parse into a Date object.

				//New array with all the years, for referencing later
				var years = ["1998", "2007", "2008", "2009", "2010", "2011", "2012", "2013"];

				//Create a new, empty array to hold our restructured dataset
				var dataset = [];
				// so the number of rows is the length of dataset ( not including the top row)
				//console.log(data.length);
				//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].continent,
						immigrants: []
					};

					//Loop through all the years
					for (var j = 0; j < years.length; j++) {

						//Default value, used in case no value is present
						var amount = null;

						// If value is not empty
						if (data[i][years[j]]) {
							// console.log('yo');
							//+ plus is to force it to number context ( int context)
							amount = +data[i][years[j]];
							//console.log(amount);
						}

						//Add a new object to the emissions data array
						//for this country
						dataset[i].immigrants.push({
							x: years[j],
							y: amount
						});

					}

				}

				//Stack the data!
				stack(dataset);

				//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);


				//Now that the data is ready, we can check its
				//min and max values to set our scales' domains!
				xScale.domain([
					d3.min(years, function(d) {
						return dateFormat.parse(d);
					}),
					d3.max(years, function(d) {
						return dateFormat.parse(d);
					})
				]);

				//Need to recalcluate the max value for yScale
				//differently, now that everything is stacked.

				//Loop once for each year, and get the total value
				//of CO2 for that year.
				var totals = [];

				for (i = 0; i < years.length; i++) {
					totals[i] = 0;
					for (j = 0; j < dataset.length; j++) {
						totals[i] += dataset[j].immigrants[i].y;
					}
				}

				yScale.domain([ d3.max(totals), 0 ]);


				//Areas
				//
				//Now that we are creating multiple paths, we can use the
				//selectAll/data/enter/append pattern to generate as many
				//as needed.

				//Make a path for each country
				var paths = svg.selectAll("path")
					.data(dataset)
					.enter()
					.append("path")
					.attr("class", "area")
					.attr("d", function(d) {
						//Calculate path based on only d.immigrants array,
						//not all of d (which would include the country name)
						return area(d.immigrants);
					})
					.attr("stroke", "none")
					.attr("fill", function(d, i) {
						return color(i);
					});

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


				//Create 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);

			});


		</script>
	</body>
</html>
continent	1998	2007	2008	2009	2010	2011	2012	2013
Africa	75396	103407	108178	109361	105683	101098	102592	109665
Asia	29725	43324	44723	48065	44404	43134	44047	48770
America	13518	19239	19922	20285	23314	21096	20633	20734
Europe	4318	10528	10395	10643	10194	11254	11471	11957
Oceania	473	703	826	838	687	821	805	716
	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="utf-8">
	<title>Stacked area chart</title>
	<script type="text/javascript" src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.6/d3.min.js"></script>
	<style type="text/css">

	body {
	margin: 0;
	background-color: lightGray;
	font-family: Helvetica, Arial, sans-serif;
	}

	#container {
	width: 800px;
	margin-left: auto;
	margin-right: auto;
	margin-top: 50px;
	padding: 50px;
	background-color: white;
	box-shadow: 3px 3px 5px 6px #ccc;
	}

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

	p {
	font-size: 14px;
	margin: 10px 0 0 0;
	}

	g.bar {
	cursor: pointer;
	}

	g.bar text {
	font-size: 11px;
	font-weight: bold;
	text-anchor: end;
	opacity: 0;
	}

	g.bar:hover rect {
	fill: #f7e12c;
	}

	g.bar:hover text {
	opacity: 1;
	}

	svg {
	background-color: white;
	}

	path:hover {
	fill: red;
	}

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

	.axis text {
	font-family: sans-serif;
	font-size: 11px;
	}

	#tooltip {
	visibility: hidden;
	position: fixed;
	background-color: #ffffff;
	padding: 5px;
	border-left: 3px #9fccd5 solid;
	}
	#tooltip p {
	font-size: 10px;
	margin: 0;
	padding: 0;
	}
	#tooltip strong {
	color: #888;
	}


	</style>
	</head>
	<body>
	<div id="container">
	<h1>Immigration flows to France by continent of origin</h1>

	<p>First residence permits issued for one year or more, by continent of origin. Source: <a href="https://www.ined.fr/en/everything_about_population/data/france/immigration-flow/year-continent/">Institute National d'Étude Démographique</a>, 2014</p>
	</div>

	<script type="text/javascript">



	//Set up stack method
	var stack = d3.layout.stack()
	.values(function(d) {
	return d.immigrants;
	})
	.order("reverse");




	//Width, height, padding
	var w = 700;
	var h = 600;
	var padding = [ 20, 10, 50, 100 ]; //Top, right, bottom, left



	//Set up date format function (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(8)
	.tickFormat(function(d) {
	return dateFormat(d);
	});

	var yAxis = d3.svg.axis()
	.scale(yScale)
	.orient("left")
	.ticks(5);

	//Configure area generator
	var area = d3.svg.area()
	.x(function(d) {
	return xScale(dateFormat.parse(d.x));
	})
	.y0(function(d) {
	return yScale(d.y0); //Updated
	})
	.y1(function(d) {
	return yScale(d.y0 + d.y); //Updated
	});


	var tooltip = document.getElementById("tooltip");

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

	//Easy colors accessible via a 10-step ordinal scale
	// var color = d3.scale.category10();
	//nahhh lets go with a custom set
	var color = d3.scale.ordinal()
	.range(["#c4cefc", "#8e93fa", "#71a1e2", "#469bc7", "#09839d"]);





	//Load data
	d3.csv("en_flux_immigr_continent-absolute.csv", function(data) {

	//Uncomment to log the newly loaded data to the console
	//console.log(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] ]
	//
	//Our x value will be the year, and y will be the amount
	//of CO2. 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: [
	{ x: "1961", y: 90589.568 },
	{ x: "1962", y: 94912.961 },
	{ x: "1963", y: 101029.517 },
	…
	]
	},
	{
	country: "Bermuda",
	emissions: [
	{ x: "1961", y: 176.016 },
	{ x: "1962", y: 157.681 },
	{ x: "1963", y: 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 x and y values.
	//
	//The x (year) values have to be strings in this case,
	//because the date format function expects a string
	//to parse into a Date object.

	//New array with all the years, for referencing later
	var years = ["1998", "2007", "2008", "2009", "2010", "2011", "2012", "2013"];

	//Create a new, empty array to hold our restructured dataset
	var dataset = [];
	// so the number of rows is the length of dataset ( not including the top row)
	//console.log(data.length);
	//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].continent,
	immigrants: []
	};

	//Loop through all the years
	for (var j = 0; j < years.length; j++) {

	//Default value, used in case no value is present
	var amount = null;

	// If value is not empty
	if (data[i][years[j]]) {
	// console.log('yo');
	//+ plus is to force it to number context ( int context)
	amount = +data[i][years[j]];
	//console.log(amount);
	}

	//Add a new object to the emissions data array
	//for this country
	dataset[i].immigrants.push({
	x: years[j],
	y: amount
	});

	}

	}

	//Stack the data!
	stack(dataset);

	//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);



	//Now that the data is ready, we can check its
	//min and max values to set our scales' domains!
	xScale.domain([
	d3.min(years, function(d) {
	return dateFormat.parse(d);
	}),
	d3.max(years, function(d) {
	return dateFormat.parse(d);
	})
	]);

	//Need to recalcluate the max value for yScale
	//differently, now that everything is stacked.

	//Loop once for each year, and get the total value
	//of CO2 for that year.
	var totals = [];

	for (i = 0; i < years.length; i++) {
	totals[i] = 0;
	for (j = 0; j < dataset.length; j++) {
	totals[i] += dataset[j].immigrants[i].y;
	}
	}

	yScale.domain([ d3.max(totals), 0 ]);




	//Areas
	//
	//Now that we are creating multiple paths, we can use the
	//selectAll/data/enter/append pattern to generate as many
	//as needed.

	//Make a path for each country
	var paths = svg.selectAll("path")
	.data(dataset)
	.enter()
	.append("path")
	.attr("class", "area")
	.attr("d", function(d) {
	//Calculate path based on only d.immigrants array,
	//not all of d (which would include the country name)
	return area(d.immigrants);
	})
	.attr("stroke", "none")
	.attr("fill", function(d, i) {
	return color(i);
	});

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



	//Create 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);

	});



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