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06_stacked_area.html
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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">
h1 {
font-family: Helvetica, sans-serif;
font-size: 14px;
font-weight: bold;
}
.area {
stroke: none;
}
.area:hover {
fill: yellow;
}
</style>
</head>
<body>
<h1>Monthly Number of Electric Vehicles Sold in the U.S.: December 2010–June 2013</h1>
<script type="text/javascript">
//Width and height
var w = 800;
var h = 500;
var padding = 20;
var dataset, xScale, yScale, xAxis, yAxis, area; //Empty, for now
//For converting strings to Dates
var parseTime = d3.timeParse("%Y-%m");
//For converting Dates to strings
var formatTime = d3.timeFormat("%b %Y");
//Function for converting CSV values from strings to Dates and numbers
//We assume one column named 'Date' plus several others that will be converted to ints
var rowConverter = function(d, i, cols) {
//Initial 'row' object includes only date
var row = {
date: parseTime(d.Date), //Make a new Date object for each year + month
};
//Loop once for each vehicle type
for (var i = 1; i < cols.length; i++) {
var col = cols[i];
//If the value exists…
if (d[cols[i]]) {
row[cols[i]] = +d[cols[i]]; //Convert from string to int
} else { //Otherwise…
row[cols[i]] = 0; //Set to zero
}
}
return row;
}
//Set up stack method
var stack = d3.stack()
.order(d3.stackOrderDescending); // <-- Flipped stacking order
//Load in data
d3.csv("ev_sales_data.csv", rowConverter, function(data) {
var dataset = data;
// console.log(dataset);
//Now that we know the column names in the data…
var keys = dataset.columns;
keys.shift(); //Remove first column name ('Date')
stack.keys(keys); //Stack using what's left (the car names)
//Data, stacked
var series = stack(dataset);
// console.log(series);
//Create scale functions
xScale = d3.scaleTime()
.domain([
d3.min(dataset, function(d) { return d.date; }),
d3.max(dataset, function(d) { return d.date; })
])
.range([padding, w - padding * 2]);
yScale = d3.scaleLinear()
.domain([
0,
d3.max(dataset, function(d) {
var sum = 0;
//Loops once for each row, to calculate
//the total (sum) of sales of all vehicles
for (var i = 0; i < keys.length; i++) {
sum += d[keys[i]];
};
return sum;
})
])
.range([h - padding, padding / 2])
.nice();
//Define axes
xAxis = d3.axisBottom()
.scale(xScale)
.ticks(10)
.tickFormat(formatTime);
//Define Y axis
yAxis = d3.axisRight()
.scale(yScale)
.ticks(5);
//Define area generator
area = d3.area()
.x(function(d) { return xScale(d.data.date); })
.y0(function(d) { return yScale(d[0]); })
.y1(function(d) { return yScale(d[1]); });
//Create SVG element
var svg = d3.select("body")
.append("svg")
.attr("width", w)
.attr("height", h);
//Create areas
svg.selectAll("path")
.data(series)
.enter()
.append("path")
.attr("class", "area")
.attr("d", area)
.attr("fill", function(d, i) {
return d3.schemeCategory20[i];
})
.append("title") //Make tooltip
.text(function(d) {
return d.key;
});
//Create axes
svg.append("g")
.attr("class", "axis")
.attr("transform", "translate(0," + (h - padding) + ")")
.call(xAxis);
svg.append("g")
.attr("class", "axis")
.attr("transform", "translate(" + (w - padding * 2) + ",0)")
.call(yAxis);
});
</script>
</body>
</html>