Intermediate D3 for Data Visualization - Project Module 2

<!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 {
				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>

<h1>Age structure in municipality De Marne</h1>

<p>Age structure in municipality De Marne 1992-2015, The Netherlands. Source: <a href="https://statline.cbs.nl/Statweb/publication/?VW=T&DM=SLNL&PA=03759NED&D1=1-2&D2=0-96&D3=625&D4=a&HD=151028-1330&HDR=T&STB=G2,G3,G1">CBS</a></p>

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

//Width, height, padding
			var w = 1000;
			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(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("Leeftijdsopbouw_De_Marne_cat.csv", function(data) {

//Uncomment to log the newly loaded data to the console
				//console.log(data);

//New array with all the years, for referencing later
				var years = ["1992","1993","1994","1995","1996","1997","1998","1999","2000","2001","2002","2003","2004","2005","2006","2007","2008","2009","2010","2011","2012","2013","2014","2015"];

//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 this category's name and empty array
					dataset[i] = {
						leeftijdscategorie: data[i].cat,
						tellingen: []
					};

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

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

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

//Add a new object to the counts data array
						//for this category
						dataset[i].tellingen.push({
							x: years[j],
							y: aantal
						});

}

}
                console.log(dataset);

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

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

//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>

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