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April 24, 2015 15:34
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Source | 1989 | 1990 | 1991 | 1992 | 1993 | 1994 | 1995 | 1996 | 1997 | 1998 | 1999 | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Canada | 100 | 115 | 127 | 151 | 164 | 178 | 222 | 262 | 316 | 348 | 346 | 390 | 456 | 525 | 705 | 721 | 712 | 709 | 726 | 758 | 647 | 872 | 941 | 989 | 1046 | 1177 | |
Mexico | 16 | 23 | 12 | 10 | 17 | 15 | 25 | 26 | 27 | 23 | 35 | 34 | 37 | 54 | 73 | 89 | 102 | 131 | 144 | 215 | 355 | 454 | 533 | 515 | 499 | 478 | |
Indonesia | 4 | 12 | 16 | 17 | 18 | 20 | 47 | 62 | 97 | 62 | 57 | 44 | 47 | 50 | 60 | 62 | 68 | 64 | 83 | 139 | 100 | 122 | 166 | 157 | 160 | 251 | |
Malaysia | 22 | 46 | 51 | 55 | 30 | 38 | 43 | 42 | 69 | 66 | 57 | 43 | 47 | 38 | 90 | 110 | 112 | 108 | 121 | 256 | 242 | 308 | 278 | 148 | 134 | 185 | |
Cote d'Ivoire | 37 | 35 | 33 | 28 | 23 | 31 | 30 | 26 | 23 | 39 | 30 | 24 | 13 | 30 | 60 | 62 | 78 | 79 | 67 | 91 | 136 | 176 | 129 | 154 | 146 | 179 | |
Germany | 18 | 17 | 18 | 22 | 24 | 21 | 25 | 29 | 29 | 29 | 30 | 40 | 54 | 52 | 58 | 53 | 58 | 64 | 82 | 78 | 79 | 150 | 166 | 182 | 174 | 178 | |
Netherlands | 71 | 80 | 53 | 54 | 66 | 67 | 66 | 67 | 73 | 75 | 71 | 79 | 101 | 124 | 175 | 163 | 134 | 122 | 107 | 132 | 163 | 250 | 297 | 267 | 202 | 169 | |
Belgium-Luxembourg | 19 | 24 | 22 | 23 | 25 | 23 | 25 | 27 | 35 | 40 | 51 | 48 | 55 | 50 | 61 | 70 | 76 | 89 | 103 | 96 | 80 | 93 | 115 | 120 | 124 | 131 | |
France | 7 | 6 | 7 | 9 | 9 | 11 | 12 | 11 | 15 | 17 | 26 | 21 | 24 | 31 | 42 | 46 | 47 | 55 | 61 | 56 | 52 | 71 | 73 | 63 | 64 | 62 | |
Switzerland | 19 | 21 | 17 | 19 | 17 | 20 | 22 | 23 | 21 | 26 | 28 | 22 | 22 | 25 | 30 | 37 | 44 | 52 | 64 | 67 | 57 | 51 | 60 | 50 | 57 | 61 | |
Brazil | 115 | 125 | 140 | 127 | 111 | 66 | 40 | 49 | 33 | 39 | 23 | 38 | 41 | 46 | 123 | 120 | 147 | 147 | 111 | 117 | 59 | 70 | 73 | 50 | 24 | 54 | |
Italy | 15 | 12 | 10 | 13 | 14 | 15 | 23 | 27 | 28 | 28 | 12 | 11 | 15 | 15 | 17 | 18 | 25 | 30 | 30 | 39 | 26 | 30 | 39 | 38 | 47 | 46 | |
Ireland | 5 | 7 | 7 | 7 | 7 | 7 | 4 | 5 | 7 | 9 | 11 | 10 | 13 | 14 | 12 | 15 | 21 | 29 | 23 | 30 | 24 | 13 | 25 | 30 | 29 | 37 | |
Spain | 2 | 3 | 2 | 1 | 2 | 3 | 3 | 3 | 4 | 3 | 4 | 5 | 5 | 10 | 16 | 15 | 13 | 13 | 21 | 18 | 17 | 39 | 55 | 63 | 52 | 36 | |
India | 1 | 2 | - | - | - | 1 | 1 | - | 1 | - | - | - | - | - | - | - | 1 | 1 | 1 | 4 | 4 | 7 | 4 | 3 | 7 | 36 | |
Peru | 13 | 11 | 13 | 8 | 6 | 4 | - | 1 | 13 | 11 | 11 | 9 | 5 | 4 | 3 | 4 | 4 | 8 | 5 | 14 | 17 | 8 | 15 | 11 | 23 | 29 | |
United Kingdom | 21 | 27 | 18 | 23 | 25 | 28 | 33 | 32 | 44 | 50 | 56 | 63 | 59 | 61 | 58 | 61 | 54 | 48 | 47 | 51 | 32 | 30 | 19 | 30 | 31 | 24 | |
Singapore | 18 | 26 | 17 | 24 | 14 | 23 | 23 | 19 | 18 | 34 | 14 | 18 | 11 | 17 | 26 | 13 | 17 | 36 | 59 | 67 | 61 | 57 | 53 | 28 | 22 | 24 | |
Ecuador | 27 | 42 | 42 | 27 | 21 | 20 | 22 | 30 | 41 | 17 | 18 | 22 | 12 | 5 | 14 | 13 | 10 | 3 | 2 | 22 | 12 | 10 | 12 | 7 | 18 | 21 | |
Colombia | 5 | 9 | 9 | 5 | 5 | 5 | 3 | 6 | 11 | 6 | 9 | 4 | 8 | 6 | 7 | 10 | 10 | 4 | 7 | 13 | 10 | 13 | 10 | 7 | 10 | 21 | |
Sweden | 3 | 2 | 2 | 3 | 2 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 4 | 4 | 4 | 5 | 5 | 5 | 5 | 6 | 11 | 22 | 9 | 12 | 17 | |
Austria | 1 | 1 | - | - | - | - | - | 1 | 1 | 1 | 2 | - | 4 | 7 | 5 | 6 | 7 | 6 | 6 | 8 | 8 | 10 | 12 | 12 | 11 | 13 | |
Israel | 3 | 3 | 2 | 3 | 4 | 2 | 3 | 5 | 6 | 6 | 5 | 5 | 8 | 4 | 5 | 5 | 6 | 7 | 7 | 8 | 8 | 12 | 12 | 14 | 10 | 12 | |
Philippines | 11 | 17 | 15 | 9 | 5 | 4 | 5 | 6 | 5 | 4 | 3 | 1 | 2 | 2 | 4 | 3 | 2 | 3 | 2 | 5 | 2 | 2 | 2 | 3 | 10 | 12 | |
Cameroon | 8 | 6 | 2 | 1 | 1 | 1 | 2 | 2 | 1 | 1 | 1 | 4 | 1 | 14 | 18 | 13 | 16 | 15 | 10 | 6 | 11 | 31 | 36 | 34 | 21 | 12 | |
China | 9 | 12 | 13 | 21 | 30 | 24 | 24 | 36 | 49 | 33 | 21 | 17 | 11 | 10 | 13 | 22 | 42 | 48 | 41 | 66 | 12 | 7 | 5 | 7 | 11 | 12 | |
Dominican Republic | 5 | 5 | 4 | 3 | 4 | 4 | 5 | 5 | 7 | 7 | 4 | 4 | 3 | 3 | 5 | 7 | 7 | 6 | 4 | 10 | 7 | 6 | 6 | 4 | 6 | 11 | |
Denmark | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 3 | 3 | 4 | 5 | 5 | 6 | 5 | 5 | 4 | 3 | 2 | 3 | 3 | 3 | 7 | |
Venezuela | 2 | 2 | 1 | 2 | 2 | 2 | 2 | 3 | 3 | 2 | 1 | 1 | 1 | 2 | 3 | 4 | 3 | 2 | 2 | 3 | 2 | 2 | 2 | 1 | 5 | 5 |
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<!DOCTYPE html> | |
<html lang="en"> | |
<head> | |
<meta charset="utf-8"> | |
<title>US Imports of Chocolate</title> | |
<script type="text/javascript" src="http://d3js.org/d3.v3.min.js"></script> | |
<style type="text/css"> | |
body { | |
background-color: #FFFFFD; | |
font-family: helvetica, sans-serif; | |
max-width: 800px; | |
} | |
svg { | |
position: absolute; | |
left: 0px; | |
top: 120px; | |
margin: 12px 0 6px 12px; | |
} | |
.graphBlock { | |
border-radius: 15px; | |
} | |
#textBlock { | |
padding: 1px 10px 8px; 10px; | |
margin: 1px 6px 0px 6px; | |
position: absolute; | |
left: 118px; | |
top: 150px; | |
width: 270px; | |
border: 1px solid burlywood; | |
background-color: oldlace; | |
z-index: 30; | |
/*visibility: hidden;*/ | |
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background-color: oldlace; | |
} | |
.title { | |
position: absolute; | |
left: 5px; | |
top: 65px; | |
height: 20px; | |
line-height: 125%; | |
font-size:17px; | |
font-weight: bold; | |
color: sienna; | |
margin: 34px 0 10px 98px; | |
width: 855px; | |
} | |
.subtitle { | |
font-size: 14px; | |
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margin-top: 2px; | |
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line-height: 125%; | |
font-size:12px; | |
margin: 3px 0 0px 0px; | |
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top: 935px; | |
left: 616px; | |
padding: 0 40px 0 0; | |
font-size: 11px; | |
color: black; | |
font-style: italic; | |
text-align: right; | |
margin-top: -5px; | |
line-height: 130%; | |
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a { | |
text-decoration: none; | |
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} | |
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font-family: sans-serif; | |
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*/ | |
g path { | |
opacity: 0.6; | |
} | |
g.canada path { | |
stroke: sienna; | |
stroke-width: 2; | |
opacity: 1; | |
} | |
g.mexico path { | |
stroke: darkolivegreen; | |
stroke-width: 2; | |
opacity: 1; | |
} | |
g.netherlands path { | |
stroke: darkslateblue; | |
stroke-width: 2; | |
opacity: 1; | |
} | |
g.brazil path { | |
stroke: crimson; | |
stroke-width: 2; | |
opacity: 1; | |
} | |
g.malaysia path { | |
stroke: goldenrod; | |
stroke-width: 2; | |
opacity: 1; | |
} | |
g.indonesia path { | |
stroke: steelblue; | |
stroke-width: 2; | |
opacity: 1; | |
} | |
g path:hover { | |
stroke: black; | |
stroke-width: 3; | |
} | |
</style> | |
</head> | |
<body> | |
<header> | |
<h1>Canada continues to be the major exporter of chocolate to the United States.</h1> | |
<p class="intro">Mexico is a distant second; once-mighty Brazil, Netherlands, and other countries are no longer big players.<p> | |
</header> | |
<p class="title">Import values of chocolate entering US ports from selected countries, 1989–2014<br /><span class="noBold subtitle">Hover over the greyed-out lines to see what some of the other chocolate-exporting countries are.</span></p> | |
<div id="textBlock"> | |
<h3>This chart represents mostly wholesale chocolate for the food-service and food-manufacturing industries.</h3> | |
<p class="sidenote">Here “chocolate” comprises chocolate bars and slabs weighing more than two kilograms each, cocoa paste, cocoa butter, and cocoa powder. Popular sweets such as Mars Bars, Kit Kats, and Hershey's Kisses are <em>not</em> included in the data. </p> | |
<h3>The power of NAFTA</h3> | |
<p class="sidenote">The USDA says that “North American Free Trade Agreement partners Canada and Mexico are not only the main destinations for US exports but also the main suppliers of chocolate candy to the US market.” </p> | |
<p class="sidenote">But does that doesn't necessarily mean that Canada's and Mexico's stronger presence is <em>because</em> of NAFTA—does it? (NAFTA was passed in December 1993.) </p> | |
</div> | |
<svg class="graphBlock"> | |
<p class="source">Values adjusted for inflation. <br /> | |
Source: USDA, <a href ="http://www.fas.usda.gov/gats"">www.fas.usda.gov/gats</a> | |
<script type="text/javascript"> | |
//Dimensions and padding | |
var w = 870; | |
var h = 800; | |
var padding = [ 20, 80, 50, 90 ]; //Top, right, bottom, left | |
//Set up date formatting and years | |
var dateFormat = d3.time.format("%Y"); | |
//Set up scales | |
var xScale = d3.time.scale() | |
.range([ 0, w - padding[1] - padding[3] ]); | |
var yScale = d3.scale.linear() | |
.range([ padding[0], h - padding[2] ]); | |
/*var sideScale = d3.scale.ordinal() | |
.rangeRoundBands([ padding[0], h - padding[2] ], 0.15); */ | |
//Configure axis generators | |
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.scale(xScale) | |
.orient("bottom") | |
.tickSize(-(h-padding[0]-padding[2])) | |
.outerTickSize(0) | |
.tickPadding(6) | |
.ticks(16) | |
.tickFormat(function(d) { | |
return dateFormat(d); | |
}); | |
var yAxis = d3.svg.axis() | |
.scale(yScale) | |
.orient("left") | |
.tickSize(-(w-padding[3]-padding[1])) | |
.outerTickSize(0) | |
.tickPadding(6); | |
var svg = d3.select("svg") | |
.attr("width", w) | |
.attr("height", h); | |
var naftaLine = svg.append("line") | |
.attr("x1", 134.98466761581426 + padding[3]) | |
.attr("y1", 700 + padding[2]) | |
.attr("x2", 134.98466761581426 + padding[3]) | |
.attr("y2", padding[0]) | |
.attr("stroke-width", 1) | |
.attr("stroke", "peru") | |
.style("opacity", "0.8"); | |
var recessionArea = svg.append("rect") | |
.attr("x", 527 + padding[3]) | |
.attr("y", padding[0]) | |
.attr("width", 44) | |
.attr("height", 730) | |
.attr("fill", "wheat") | |
.style("opacity", "0.4"); | |
/*var referenceLabelNafta = svg.append("text") | |
.attr("x", 236) | |
.attr("y", 375) | |
.text("<-- NAFTA") | |
.attr("font-family", "Helvetica, sans-serif") | |
.attr("font-size", "14px") | |
.attr("fill", "dimgray"); */ | |
//Configure line generator | |
var line = d3.svg.line() | |
.x(function(d) { | |
return xScale(dateFormat.parse(d.year)) + padding[3]; | |
}) | |
.y(function(d) { | |
return yScale(+d.amount); | |
}) | |
.interpolate("monotone"); | |
//Load data | |
d3.csv("chocolate_imports_1989-2014-2.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 = ["1989", "1990", "1991", "1992", "1993", "1994", "1995", "1996", "1997", "1998", "1999", "2000", "2001", "2002", "2003", "2004", "2005", "2006", "2007", "2008", "2009", "2010", "2011", "2012", "2013", "2014"]; | |
//Create a new, empty array to hold our restructured dataset | |
var dataset = []; | |
//Loop once for each row in data | |
//I only want to use the first ten rows | |
for (var i = 0; i < 11; i++) { | |
//Create new object with this country's name and empty array | |
dataset[i] = { | |
sourceName: data[i].Source, | |
exports: [] | |
}; | |
//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 | |
var origValue = data[i][years[j]]; | |
//console.log(origValue); | |
var adjustRate = 1; | |
var adjustedValue = origValue * adjustRate; | |
//console.log(adjustedValue); | |
if (years[j] == "1989") { | |
adjustRate = 1.909; | |
} | |
if (years[j] == "1990") { | |
adjustRate = 1.811; | |
} | |
if (years[j] == "1991") { | |
adjustRate = 1.738; | |
} | |
if (years[j] == "1992") { | |
adjustRate = 1.687; | |
} | |
if (years[j] == "1993") { | |
adjustRate = 1.638; | |
} | |
if (years[j] == "1994") { | |
adjustRate = 1.553; | |
} | |
if (years[j] == "1995") { | |
adjustRate = 1.509; | |
} | |
if (years[j] == "1996") { | |
adjustRate = 1.509; | |
} | |
if (years[j] == "1997") { | |
adjustRate = 1.475; | |
} | |
if (years[j] == "1998") { | |
adjustRate = 1.452; | |
} | |
if (years[j] == "1999") { | |
adjustRate = 1.421; | |
} | |
if (years[j] == "2000") { | |
adjustRate = 1.375; | |
} | |
if (years[j] == "2001") { | |
adjustRate = 1.337; | |
} | |
if (years[j] == "2002") { | |
adjustRate = 1.316; | |
} | |
if (years[j] == "2003") { | |
adjustRate = 1.287; | |
} | |
if (years[j] == "2004") { | |
adjustRate = 1.253; | |
} | |
if (years[j] == "2005") { | |
adjustRate = 1.212; | |
} | |
if (years[j] == "2006") { | |
adjustRate = 1.174; | |
} | |
if (years[j] == "2007") { | |
adjustRate = 1.142; | |
} | |
if (years[j] == "2008") { | |
adjustRate = 1.100; | |
} | |
if (years[j] == "2009") { | |
adjustRate = 1.103; | |
} | |
if (years[j] == "2010") { | |
adjustRate = 1.086; | |
} | |
if (years[j] == "2011") { | |
adjustRate = 1.052; | |
} | |
if (years[j] == "2012") { | |
adjustRate = 1.031; | |
} | |
if (years[j] == "2013") { | |
adjustRate = 1.016; | |
} | |
adjustedValue = origValue * adjustRate; | |
dataset[i].exports.push({ | |
year: years[j], | |
amount: adjustedValue | |
}); | |
} | |
} | |
} | |
//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 | |
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.exports, function(d) { | |
return +d.amount * 1.01; | |
}); | |
}), | |
0 | |
]); | |
//sideScale.domain(data.map(function(d) { return d.Source; } )); | |
//Make a group for each country | |
var groups = svg.selectAll("g") | |
.data(dataset) | |
.enter() | |
.append("g") | |
.attr("class", function(d){ | |
if (d.sourceName == "Canada") { | |
return "canada"; | |
} | |
if (d.sourceName == "Mexico") { | |
return "mexico"; | |
} | |
if (d.sourceName == "Netherlands") { | |
return "netherlands"; | |
} | |
if (d.sourceName == "Brazil") { | |
return "brazil"; | |
} | |
if (d.sourceName == "Malaysia") { | |
return "malaysia"; | |
} | |
if (d.sourceName == "Indonesia") { | |
return "indonesia"; | |
} | |
}) | |
; | |
//Append a title with the country name (so we get easy tooltips) | |
groups.append("title") | |
.text(function(d) { | |
return d.sourceName; | |
}); | |
//Within each group, create a new line/path, | |
//binding just the emissions data to each one | |
groups.selectAll("path") | |
.data(function(d) { | |
return [ d.exports ]; | |
}) | |
.enter() | |
.append("path") | |
.attr("class", "line") | |
.attr("d", line) | |
.attr("fill", "none") | |
.attr("stroke", "lightgray") | |
.attr("stroke-width", 2); | |
//Axes | |
svg.append("g") | |
.attr("class", "x axis") | |
.attr("transform", "translate("+ padding[3] + "," +(h - padding[2]) + ")") | |
.call(xAxis); | |
svg.append("g") | |
.attr("class", "y axis") | |
.attr("transform", "translate(" + padding[3] + ",0)") | |
.call(yAxis); | |
svg.append("text") | |
.attr("class", "label") | |
.attr("y", (h - padding[2]/2)) | |
.attr("x", w/2) | |
.attr("dy", "1em") | |
.style("text-anchor", "middle") | |
.text("Year"); | |
svg.append("text") | |
.attr("class", "label") | |
.attr("transform", "rotate(-90)") | |
.attr("y", padding[3]-60) | |
.attr("x",0 - (h/2)) | |
.attr("dy", "1em") | |
.style("text-anchor", "middle") | |
.text("Value of imported chocolate, in millions of US dollars"); | |
var referenceLabelNafta = svg.append("foreignObject") | |
.attr("x", 220) | |
.attr("y", 375) | |
.attr("width", 120) | |
.attr("height", 50) | |
.append("xhtml:body") | |
.style("font", "12px Helvetica, sans-serif") | |
.style("color", "darkred") | |
.html("<p>← NAFTA passed</p>"); | |
var referenceLabelRecession = svg.append("foreignObject") | |
.attr("x", 460) | |
.attr("y", 375) | |
.attr("width", 160) | |
.attr("height", 100) | |
.append("xhtml:body") | |
.style("font", "12px Helvetica, sans-serif") | |
.style("color", "darkred") | |
.style("text-align", "right") | |
.html("<p>The Great Recession → </p>"); | |
// Borrowing Ruben V's code for data labels. Thanks, Ruben!!! | |
var datalabel = svg.selectAll(".lineLabel") | |
.data(dataset.filter(function(d) { | |
console.log(d.sourceName); | |
return (d.sourceName == "Canada" || | |
d.sourceName == "Mexico" || | |
d.sourceName == "Netherlands" || | |
d.sourceName == "Brazil" || | |
d.sourceName == "Malaysia" || | |
d.sourceName == "Indonesia"); | |
})) | |
.enter() | |
.append("text") | |
.attr("class", "lineLabel"); | |
datalabel.attr("x", [w - padding[1] - padding[3] + 95]) | |
.attr("y",(function(d) { | |
return yScale( d.exports[25].amount ) + 2; // year [25] -> 2014 | |
})) | |
.attr("fill", "black") | |
.attr("font-size", "11px") | |
.attr("font-family", "Helvetica, sans-serif") | |
.text(function(d) { | |
return d.sourceName; | |
}); | |
}); | |
//End USA data load function | |
</script> | |
</body> | |
</html> |
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