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Version 3 : Top 20 french cities by natural disasters : type and number per year

<!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 {
				margin: 0;
				background-color: white;
				}

#container {
				width: 900px;
				margin-left: 40px;
				margin-right: auto;
				margin-bottom: 50px;
				margin-top: 50px;
				padding-top: 20px;
				padding-left: 10px;
				padding-right: 30px;
				padding-bottom: 10px;
				background-color: white;
				box-shadow: 2px 2px 3px 3px #fcfcfc;
				border-width:1px;
 							}

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

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

svg {
				background-color: white;
			}

rect:hover {
				fill: #white;
				opacity: 0.4;
			}
			
			.axis path,
			.axis line {
 			 fill: none;
 			 stroke: #000;
  			shape-rendering: crispEdges;
}
			
			.x.axis text {
				font-family: helvetica;
				font-size: 12px;
			}

.y.axis text {
				font-family: helvetica;
				font-size: 12px;
			}

.legend text {
				font-family: helvetica;
				font-size: 12px;
			}

</style>
	</head>
	<body>

</div>

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

//Width, height, padding
			var w = 900;
			var h = 550;
			var padding = [ 40, 20, 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(33)
							.outerTickSize(0)
							.tickFormat(function(d) {
								return dateFormat(d);
							});

var yAxis = d3.svg.axis()
							.scale(yScale)
							.orient("left")
							.ticks(12);

//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.ordinal()
    .range(["#009ACD", "#2ADF82", "#FFC115", "#006FCD", "FF3E0E"]);

//Create the empty SVG image
			var svg = d3.select("#container")
						.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")
				//+ 5 permet de pousser les rectangles de 5 vers la droite
					.attr("x", function(d) {
						return xScale(dateFormat.parse(d.x)) + 5;
					})
					.attr("width", 15)
					.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);
					});

//Les titres doivent être donnés au groupe
				groups.append("title")
					.text(function(d) {
						return d.year + " : " + d.nom + " " + d.disaster;
					});

//Create axes
				svg.append("g")
					.attr("class", "x axis")
				//pousser l'axe des abcsisses de 12 pixels vers la droite
					.attr("transform", "translate(12," + (h - padding[2]) + ")") 
					.call(xAxis)
      				.selectAll("text") 
            		.style("text-anchor", "end")
            		.attr("dy", ".-20em")
            		.attr("dx", "-8")
            		.attr("transform", function(d) {return "rotate(-70)"});

svg.append("g")
					.attr("class", "y axis")
					.attr("transform", "translate(" + padding[3] + "," + padding[0] + ")")
					.call(yAxis);

svg.append("text")
					.attr ("x", 120)
					.attr ("y", (padding[0] / 3))
					.style("font-size", "14px")
					.style("font-family", "Helvetica")
					.style("font-weight", "none")
					.style("font-style", "italic")
					.text("Number and type of natural disasters per year ");

var legend = svg.selectAll(".legend")
      				.data(color.domain().slice().reverse())
    				.enter().append("g")
			        .attr("class", "legend")
			        .attr("transform", function(d, i) { return "translate(0," + i * 25 + ")"; });

legend.append("rect")
   				  	.attr("x", w - 150)
				     .attr("width", 15)
				     .attr("height", 15)
				     .style("fill", color);

legend.append("text")
				     .attr("x", w - 130)
				     .attr("y", 9)
				     .attr("dy", ".35em")
				     .text(function(d, i) {
      switch (i) {
        case 0: return "Earthquake";
        case 1: return "Waves";
        case 2: return "Drough";
        case 3: return "Landslide";
        case 4: return "Flooding";
      }
    });

});

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

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