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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<title>D3: Stacked area chart</title>
<script type="text/javascript" src="d3.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>G7 Countries’ CO2 Emissions</h1>
<p>Total carbon dioxide emissions (kilotons) for <a href="https://en.wikipedia.org/wiki/G7_(forum)">current G7 countries</a>, 1961-2010. Note data for Germany begins with 1991. Source: <a href="http://data.worldbank.org/indicator/EN.ATM.CO2E.KT?page=6">World Bank</a>, 2014</p>
<script type="text/javascript">
//Set up stack method
var stack = d3.layout.stack()
.values(function(d) {
return d.emissions;
})
.order("reverse");
//Width, height, padding
var w = 700;
var h = 400;
var padding = [ 20, 10, 50, 100 ]; //Top, right, bottom, left
//Set up date format function (years)
var dateFormat = d3.time.format("%Y");
//Define scales with ranges (domains will be set later)
var xScale = d3.time.scale()
.range([ padding[3], w - padding[1] - padding[3] ]);
var yScale = d3.scale.linear()
//.range([ 0, h ]);
.range([ padding[0], h - padding[2] ]);
//Define axes
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")
.ticks(5);
//Define area generator
var area = d3.svg.area()
.x(function(d) {
return xScale(dateFormat.parse(d.x)); //Updated
})
.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 SVG
var svg = d3.select("body")
.append("svg")
.attr("width", w)
.attr("height", h);
//Load in CSV data
//
//This happens asynchronously; callback function fires when done
//
d3.csv("data/co2/g7_co2_emissions.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 = ["1961", "1962", "1963", "1964", "1965", "1966", "1967", "1968", "1969", "1970", "1971", "1972", "1973", "1974", "1975", "1976", "1977", "1978", "1979", "1980", "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"];
//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++) {
//Default value, used in case no value is present
var amount = null;
// If value is not empty
if (data[i][years[j]]) {
amount = +data[i][years[j]];
}
//Add a new object to the emissions data array
//for this country
dataset[i].emissions.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].emissions[i].y;
}
}
yScale.domain([ d3.max(totals), 0 ]);
//Areas
//
//Now that we are creating multiple paths, we can use the
//selectAll/data/co2/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.emissions array,
//not all of d (which would include the country name)
return area(d.emissions);
})
.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>