scotthmurray/index.html

## index.html
<!DOCTYPE html>
<html lang="en">
	<head>
		<meta charset="utf-8">
		<title>Stacked area chart</title>
		<script type="text/javascript" src="//d3js.org/d3.v3.min.js"></script>
		<style type="text/css">

			body {
				background-color: white;
				font-family: Helvetica, Arial, sans-serif;
			}

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

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

			svg {
				background-color: white;
			}

			path:hover {
				fill: yellow;
			}

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

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

		</style>
	</head>
	<body>


		<script type="text/javascript">


			//Set up stack method
			var stack = d3.layout.stack()
							.values(function(d) {
								return d.disaster;
							});
							//.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 (année)
			var dateFormat = d3.time.format("%Y");


			//Set up scales
			var xScale = d3.time.scale()
								.rangeRound([ padding[3], w - padding[1] ]);

			var yScale = d3.scale.linear()
								.range([ 0, h - padding[0] - 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")
							.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
			// 	});


			//Easy colors accessible via a 10-step ordinal scale
			var color = d3.scale.category10();


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


			//Load data
			d3.csv("stackdisaster.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 nom belongs to
				//each line, so we will build an array of objects that is
				//structured like this:
				//
				/*

					[
						{
							nom: "Australia",
							disaster: [
										{ x: "1961", y: 90589.568 },
										{ x: "1962", y: 94912.961 },
										{ x: "1963", y: 101029.517 },
										…
									   ]
						},
						{
							nom: "Bermuda",
							disaster: [
										{ 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, 'nom' and 'disaster'.
				//The 'disaster' 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 année, for referencing later
				var année = ["1981", "1982", "1983", "1984", "1985", "1986", "1987", "1988", "1989", "1990", "1991", "1992", "1993", "1994", "1995", "1996", "1997", "1998", "1999", "2000", "2001", "2002", "2003", "2004", "2005", "2006", "2007", "2008", "2009", "2010", "2011", "2012", "2013", "2014", "2015", "2016"];

				//Create a new, empty array to hold ur restructured dataset
				var dataset = [];

				//Loop once for each row in data
				for (var i = 0; i < data.length; i++) {

					//Create new object with this nom's name and empty array
					dataset[i] = {
						nom: data[i].disaster,
						disaster: []
					};

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

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

						// If value is not empty
						if (data[i][année[j]]) {
							amount = +data[i][année[j]];
						}

						//Add a new object to the disaster data array
						//for this nom
						dataset[i].disaster.push({
							x: année[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(année, function(d) {
						return dateFormat.parse(d);
					}),
					d3.max(année, 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 < année.length; i++) {
					totals[i] = 0;
					for (j = 0; j < dataset.length; j++) {
						totals[i] += dataset[j].disaster[i].y;
					}
				}

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


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

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


				// Add a group for each row of data
				var groups = svg.selectAll("g")
					.data(dataset)
					.enter()
					.append("g")
					.style("fill", function(d, i) {
						return color(i);
					});

				// Add a rect for each data value
				var rects = groups.selectAll("rect")
					.data(function(d) { return d.disaster; })
					.enter()
					.append("rect")
					.attr("x", function(d) {
						return xScale(dateFormat.parse(d.x)) - 7;
					})
					.attr("width", 14)
					.attr("y", function(d) {
						//return yScale(d.y);  //Flip the math!  xxx
						return h - yScale(d.y0) - yScale(d.y) - padding[2];  //Flip the math!
					})
					.attr("height", function(d) {
						return yScale(d.y);
					});


				//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] + "," + padding[0] + ")")
					.call(yAxis);

			});


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

## stackdisaster.csv

          
            disaster
            1982
            1983
            1984
            1985
            1986
            1987
            1988
            1989
            1990
            1991
            1992
            1993
            1994
            1995
            1996
            1997
            1998
            1999
            2000
            2001
            2002
            2003
            2004
            2005
            2006
            2007
            2008
            2009
            2010
            2011
            2012
            2013
            2014
            2015

            
              Flooding
              0
              3
              0
              0
              0
              15
              0
              3
              3
              4
              16
              15
              24
              1
              15
              2
              10
              14
              45
              0
              4
              8
              5
              18
              3
              0
              1
              14
              30
              16
              10
              3
              22
              8

            
              landslide
              1
              0
              0
              0
              0
              0
              0
              0
              0
              0
              1
              4
              14
              3
              14
              4
              5
              8
              37
              0
              1
              0
              0
              2
              0
              0
              9
              4
              3
              5
              1
              9
              16
              0

            
              drough
              0
              0
              0
              0
              0
              0
              0
              1
              0
              0
              0
              0
              0
              1
              0
              0
              0
              0
              0
              0
              0
              11
              12
              6
              2
              15
              0
              0
              0
              0
              0
              0
              0
              0

            
              waves
              0
              0
              0
              0
              0
              0
              0
              3
              0
              1
              3
              0
              0
              0
              0
              0
              0
              0
              0
              0
              0
              0
              0
              0
              0
              0
              11
              0
              0
              0
              0
              0
              0
              0

            
              earthquake
              0
              0
              0
              0
              0
              0
              0
              0
              0
              0
              0
              0
              0
              2
              0
              0
              0
              0
              0
              0
              0
              0
              0
              0
              0
              0
              0
              0
              0
              0
              0
              0
              0
              0
	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="utf-8">
	<title>Stacked area chart</title>
	<script type="text/javascript" src="//d3js.org/d3.v3.min.js"></script>
	<style type="text/css">

	body {
	background-color: white;
	font-family: Helvetica, Arial, sans-serif;
	}

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

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

	svg {
	background-color: white;
	}

	path:hover {
	fill: yellow;
	}

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

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

	</style>
	</head>
	<body>


	<script type="text/javascript">



	//Set up stack method
	var stack = d3.layout.stack()
	.values(function(d) {
	return d.disaster;
	});
	//.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 (année)
	var dateFormat = d3.time.format("%Y");



	//Set up scales
	var xScale = d3.time.scale()
	.rangeRound([ padding[3], w - padding[1] ]);

	var yScale = d3.scale.linear()
	.range([ 0, h - padding[0] - 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")
	.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
	// });



	//Easy colors accessible via a 10-step ordinal scale
	var color = d3.scale.category10();



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



	//Load data
	d3.csv("stackdisaster.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 nom belongs to
	//each line, so we will build an array of objects that is
	//structured like this:
	//
	/*

	[
	{
	nom: "Australia",
	disaster: [
	{ x: "1961", y: 90589.568 },
	{ x: "1962", y: 94912.961 },
	{ x: "1963", y: 101029.517 },
	…
	]
	},
	{
	nom: "Bermuda",
	disaster: [
	{ 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, 'nom' and 'disaster'.
	//The 'disaster' 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 année, for referencing later
	var année = ["1981", "1982", "1983", "1984", "1985", "1986", "1987", "1988", "1989", "1990", "1991", "1992", "1993", "1994", "1995", "1996", "1997", "1998", "1999", "2000", "2001", "2002", "2003", "2004", "2005", "2006", "2007", "2008", "2009", "2010", "2011", "2012", "2013", "2014", "2015", "2016"];

	//Create a new, empty array to hold ur restructured dataset
	var dataset = [];

	//Loop once for each row in data
	for (var i = 0; i < data.length; i++) {

	//Create new object with this nom's name and empty array
	dataset[i] = {
	nom: data[i].disaster,
	disaster: []
	};

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

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

	// If value is not empty
	if (data[i][année[j]]) {
	amount = +data[i][année[j]];
	}

	//Add a new object to the disaster data array
	//for this nom
	dataset[i].disaster.push({
	x: année[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(année, function(d) {
	return dateFormat.parse(d);
	}),
	d3.max(année, 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 < année.length; i++) {
	totals[i] = 0;
	for (j = 0; j < dataset.length; j++) {
	totals[i] += dataset[j].disaster[i].y;
	}
	}

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




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

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



	// Add a group for each row of data
	var groups = svg.selectAll("g")
	.data(dataset)
	.enter()
	.append("g")
	.style("fill", function(d, i) {
	return color(i);
	});

	// Add a rect for each data value
	var rects = groups.selectAll("rect")
	.data(function(d) { return d.disaster; })
	.enter()
	.append("rect")
	.attr("x", function(d) {
	return xScale(dateFormat.parse(d.x)) - 7;
	})
	.attr("width", 14)
	.attr("y", function(d) {
	//return yScale(d.y); //Flip the math! xxx
	return h - yScale(d.y0) - yScale(d.y) - padding[2]; //Flip the math!
	})
	.attr("height", function(d) {
	return yScale(d.y);
	});




	//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] + "," + padding[0] + ")")
	.call(yAxis);

	});



	</script>
	</body>
	</html>
disaster	1982	1983	1984	1985	1986	1987	1988	1989	1990	1991	1992	1993	1994	1995	1996	1997	1998	1999	2000	2001	2002	2003	2004	2005	2006	2007	2008	2009	2010	2011	2012	2013	2014	2015
Flooding	0	3	0	0	0	15	0	3	3	4	16	15	24	1	15	2	10	14	45	0	4	8	5	18	3	0	1	14	30	16	10	3	22	8
landslide	1	0	0	0	0	0	0	0	0	0	1	4	14	3	14	4	5	8	37	0	1	0	0	2	0	0	9	4	3	5	1	9	16	0
drough	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	0	0	0	0	0	0	11	12	6	2	15	0	0	0	0	0	0	0	0
waves	0	0	0	0	0	0	0	3	0	1	3	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	11	0	0	0	0	0	0	0
earthquake	0	0	0	0	0	0	0	0	0	0	0	0	0	2	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0