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MelanieJulien

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Greenhouse gases by country

<!DOCTYPE html>
<html lang="en">
	<head>
		<meta charset="utf-8">
		<title>Module 3 exercice</title>
		<script type="text/javascript" src="https://d3js.org/d3.v3.js"></script>
            
            <style type="text/css">
			
			body {
				background-color: white;
			}

h1 {
				font-size: 30px;
				font-family: arial;
				margin: 2;

}

p {
				font-size: 14px;
				font-family: arial;
				margin: 15px 0 0 0;

}

svg {
				background-color: white;
			}

circle:hover {
				fill: #635C5C;
			}

path {
				stroke: gray;
				stroke-width: 1.5;
			}

g.highlight path {
				stroke: red;
				stroke-width: 2;
			}

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

.axis text {
                font-family: arial;
                font-size: 12px;

}

</style>

</head>
	<body>

<h1>GHG emissions from 1990 to 2012<h1/>

<p>Luxembourg, Canada, Australia and the United States are the biggest emitters of greenhouse gases (GHG),<br><br> but Luxembourg improved itself in the last 20 years. Source : <a href="https://stats.oecd.org/">OECD data.<a/></p>

//Dimensions and padding
var w = 900;
var h = 600;
var padding = [7, 10, 30, 95 ]; //top - 0, right - 1, bottom - 2, left - 3

//formatting dates and 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(10)
                 .tickFormat(function(d)
                  { return dateFormat(d);
              });

var yAxis = d3.svg.axis()
                 .scale(yScale)
                 .orient("left")
                 .tickFormat(function(d)
                  { return d + " kg ";
              }) 
                 ;

//from circles to line
var line = d3.svg.line()
				.x(function(d) {
					return xScale(dateFormat.parse(d.year));
				})
				.y(function(d) {
					return yScale(+d.amount);
				});

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

//load the dataset
d3.csv("melaniejuliendata.csv", function(data)  {

//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] ]
				//
				//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:
				/*

[
						{
							country: "Australia",
							emissions: [
										{ year: 1990, amount: 90589.568 },
										{ year: 1991, amount: 94912.961 },
										{ year: 1992, amount: 101029.517 },
										…
									   ]
						},
						{
							country: "Belgium",
							emissions: [
										{ year: 1990, amount: 176.016 },
										{ year: 1991, amount: 157.681 },
										{ year: 1992, amount: 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 'year' and 'amount' values.

//New array with all the years, for referencing later
				var years = ["1990", "1991", "1992", "1993", "1994", "1995", "1996", "1997", "1998", "1999", "2000", "2001", "2002", "2003", "2004", "2005", "2006", "2007", "2008", "2009", "2010", "2011", "2012"];

//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 country's name and empty array
					dataset[i] = {
						country: data[i].countryName,
						emissions: []
					};

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

// If value is not empty
						if (data[i][years[j]]) {
							//Add a new object to the emissions data array
							//for this country
							dataset[i].emissions.push({
								year: years[j],
								amount: data[i][years[j]]
							});
						}

}

//////////////////////
				//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);

//////////////////////////
      //exercice avec deux csv pour créer deux lignes
      //d3.csv("canadaGHG.csv", function(canadaData) {

//d3.csv("usaGHG.csv", function(usaData) {

//Create a new array that contains both the
					//USA and China data, merged into one
	
	//var mergedData = canadaData.concat(usaData);
					
					//console.log(mergedData);

//Use the newly merged data to determine the
					//min and max values, for setting scale domains

//set scale domains
      	xScale.domain([ 
            d3.min(years, function(d) {
      	return dateFormat.parse(d);

}),

d3.max(years, function(d) {
      	return dateFormat.parse(d);

}) 
      		]);

yScale.domain([ 
         d3.max(dataset, function(d) {
      	return d3.max(d.emissions, function(d) {
      		return +d.amount;
      	});
         }),
      	0
      	]);

//Make a group for each country
				var groups = svg.selectAll("g")
					.data(dataset)
					.enter()
					.append("g")
					.classed("highlight", function(d) {

if (d.country == "Luxembourg" ||
							d.country == "Canada" ||
							d.country == "Australia" ||
							d.country == "United States") {
							return true;
						} else {
							return false;
						}

});

//Append a title with the country name (so we get easy tooltips)
				groups.append("title")
					.text(function(d) {
						return d.country + "'s GHG emissions per capita";
					});

//Within each group, create a new line/path,
				//binding just the emissions data to each one
				groups.selectAll("path")
					.data(function(d) {
						return [ d.emissions ];
					})
					.enter()
					.append("path")
					.attr("class", "line")
					.attr("d", line)
					.attr("fill", "none")
					.attr("stroke", "red")
					.attr("stroke-width", 2);

//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] - 5) + ",0)")
					.call(yAxis);

//pour ajouter un nom à mes axes
					svg.append("text")
                       .attr("class", "label")
                       .attr("transform", "rotate(-90)")
                       .attr("x", -175)
                       .attr("y", 15)
                       .attr("dy", ".91em")
                       .style("text-anchor", "end")
                       .text("per capita, thousand kgs");

});
//end for the fisrt csv

//                 });
//end for the second csv
      
		</script>

</body>
</html>

Modified http://d3js.org/d3.v3.js to a secure url

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