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multiple_lines_mouseover_tooltip.html
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multiple_lines_mouseover_tooltip.html
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<!DOCTYPE html>
<!-- Modification of an example by Scott Murray from Knight D3 course -->
<html lang="en">
<head>
<meta charset="utf-8">
<title>Line Chart with Multiple Lines</title>
<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;
}
.axis path,
.axis line {
fill: none;
stroke: black;
stroke-width: 1px;
}
.line {
fill: none;
stroke: gray;
stroke-width: 1px;
stroke-opacity: 80%;
}
.line.unfocused{
stroke-opacity: 40%;
}
.line.focused {
stroke-width: 2px;
stroke-opacity: 100%;
stroke: black;
}
.axis text {
font-family: sans-serif;
font-size: 11px;
}
.tooltip {
position: absolute;
z-index: 10;
}
.tooltip p {
background-color: white;
border: none;
padding: 2px;
}
</style>
</head>
<body>
<h1>CO2 Emissions by Country</h1>
<p>Carbon dioxide emissions, 1961-2010. Data not available for the entire period for all countries. Source: <a href="http://data.worldbank.org/indicator/EN.ATM.CO2E.KT?page=6">World Bank</a>, 2014. Roll-over a line to see which country is plotted. (Mod of a Scott Murray linechart.)</p>
<script type="text/javascript" src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.6/d3.min.js"></script>
<script type="text/javascript">
//Dimensions and padding
var fullwidth = 700;
var fullheight = 600;
var margin = { top: 20, right: 10, bottom: 40, left: 100};
var width = fullwidth - margin.left - margin.right;
var height = fullheight - margin.top - margin.bottom;
//Set up date formatting and years
var dateFormat = d3.time.format("%Y");
var xScale = d3.time.scale()
.range([ 0, width]);
var yScale = d3.scale.linear()
.range([0, height]);
//Configure axis generators
var xAxis = d3.svg.axis()
.scale(xScale)
.orient("bottom")
.ticks(15)
.tickFormat(function(d) {
return dateFormat(d);
})
.innerTickSize([0]);
var yAxis = d3.svg.axis()
.scale(yScale)
.orient("left")
.innerTickSize([0]);
//Configure line generator
// each line dataset must have a d.year and a d.amount for this to work.
var line = d3.svg.line()
.x(function(d) {
return xScale(dateFormat.parse(d.year));
})
.y(function(d) {
return yScale(+d.amount);
});
// add a tooltip to the page - not to the svg itself!
var tooltip = d3.select("body")
.append("div")
.attr("class", "tooltip");
//Create the empty SVG image
var svg = d3.select("body")
.append("svg")
.attr("width", fullwidth)
.attr("height", fullheight)
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
//Load data
d3.csv("data/co2_emissions.csv", function(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] ]
//
//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: 1961, amount: 90589.568 },
{ year: 1962, amount: 94912.961 },
{ year: 1963, amount: 101029.517 },
…
]
},
{
country: "Bermuda",
emissions: [
{ year: 1961, amount: 176.016 },
{ year: 1962, amount: 157.681 },
{ year: 1963, 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 = ["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"];
// or you could get this by doing:
var years = d3.keys(data[0]).slice(0, 54-4); //
//Create a new, empty array to hold our restructured dataset
var dataset = [];
//Loop once for each row in data
data.forEach(function (d, i) {
var myEmissions = [];
//Loop through all the years - and get the emissions for this data element
years.forEach(function (y) {
// If value is not empty
if (d[y]) {
//Add a new object to the new emissions data array - for year, amount
myEmissions.push({
country: d.countryName,
year: y,
amount: d[y] // this is the value for, for example, d["2004"]
});
}
});
//Create new object with this country's name and empty array
// d is the current data row... from data.forEach above.
dataset.push( {
country: d.countryName,
emissions: myEmissions // we just built this!
} );
}); // end of the data.forEach loop
//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);
//Set scale domains - max and min of the years
xScale.domain(
d3.extent(years, function(d) {
return dateFormat.parse(d);
}));
// max of emissions to 0 (reversed, remember) - [max, 0] for y scale
yScale.domain([
d3.max(dataset, function(d) {
return d3.max(d.emissions, function(d) {
return +d.amount;
});
}),
0
]);
//Make a group for each country - just for the data binding
var groups = svg.selectAll("g.lines")
.data(dataset)
.enter()
.append("g")
.attr("class", "lines");
//Within each group, create a new line/path,
//binding just the emissions data to each one
groups.selectAll("path")
.data(function(d) { // because there's a group with data per country already...
return [ d.emissions ]; // it has to be an array for the line function
})
.enter()
.append("path")
.attr("class", "line")
.attr("d", line); // calls the line function you defined above, using that array
//Axes
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
svg.append("g")
.attr("class", "y axis")
.call(yAxis);
// here we add the mouseover and mouseout effect, and use the id we created to style it.
// this is on the g elements, because the country name is in the data there.
// the line itself has data of an array of x,y values.
d3.selectAll("g.lines")
.on("mouseover", mouseoverFunc)
.on("mouseout", mouseoutFunc)
.on("mousemove", mousemoveFunc); // this version calls a named function.
}); // end of data csv
function mouseoverFunc(d) {
// line styling:
// this is the g element. select it, then the line inside it!
//console.log(d, this);
d3.selectAll("path.line").classed("unfocused", true);
// now undo the unfocus on the current line and set to focused.
d3.select(this).select("path.line").classed("unfocused", false).classed("focused", true);
tooltip
.style("display", null) // this removes the display none setting from it
.html("<p>" + d.country + "</p>");
}
function mouseoutFunc() {
// this removes special classes for focusing from all lines. Back to default.
d3.selectAll("path.line").classed("unfocused", false).classed("focused", false);
tooltip.style("display", "none"); // this sets it to invisible!
}
function mousemoveFunc(d) {
//console.log("events", window.event, d3.event);
tooltip
.style("top", (d3.event.pageY - 10) + "px" )
.style("left", (d3.event.pageX + 10) + "px");
}
</script>
</body>
</html>