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Last active August 8, 2016 22:32
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2016 Olympic Countries
Raw
data.json
[
{
"Country":"Refugee Olympic Team",
"Region":"Other",
"Athletes":10,
"Population":60000000,
"ppa":6000000
},
{
"Country":"Cook Islands",
"Region":"Oceania",
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"ppa":2011.1111
},
{
"Country":"Palau",
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"Athletes":5,
"Population":17950,
"ppa":3590
},
{
"Country":"Nauru",
"Region":"Oceania",
"Athletes":2,
"Population":10084,
"ppa":5042
},
{
"Country":"Saint Kitts and Nevis",
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"Population":46204,
"ppa":6600.5714
},
{
"Country":"San Marino",
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"Population":33005,
"ppa":6601
},
{
"Country":"British Virgin Islands",
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},
{
"Country":"Bermuda",
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"Population":61954,
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},
{
"Country":"Seychelles",
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},
{
"Country":"Antigua and Barbuda",
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{
"Country":"Tuvalu",
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"ppa":10640
},
{
"Country":"Marshall Islands",
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},
{
"Country":"Cayman Islands",
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},
{
"Country":"Liechtenstein",
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},
{
"Country":"Monaco",
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},
{
"Country":"Nicaragua",
"Region":"North America",
"Athletes":5,
"Population":6262703,
"ppa":1252540.6
},
{
"Country":"Thailand",
"Region":"Asia",
"Athletes":46,
"Population":65343798,
"ppa":1420517.3478
},
{
"Country":"Togo",
"Region":"Africa",
"Athletes":5,
"Population":7143000,
"ppa":1428600
},
{
"Country":"Rwanda",
"Region":"Africa",
"Athletes":8,
"Population":11553188,
"ppa":1444148.5
},
{
"Country":"Iraq",
"Region":"Middle East",
"Athletes":23,
"Population":37883543,
"ppa":1647110.5652
},
{
"Country":"Uganda",
"Region":"Africa",
"Athletes":21,
"Population":36860700,
"ppa":1755271.4286
},
{
"Country":"Benin",
"Region":"Africa",
"Athletes":6,
"Population":10653654,
"ppa":1775609
},
{
"Country":"Mauritania",
"Region":"Africa",
"Athletes":2,
"Population":3718678,
"ppa":1859339
},
{
"Country":"Ivory Coast",
"Region":"Africa",
"Athletes":12,
"Population":22671331,
"ppa":1889277.5833
},
{
"Country":"Ghana",
"Region":"Africa",
"Athletes":14,
"Population":27670174,
"ppa":1976441
},
{
"Country":"Liberia",
"Region":"Africa",
"Athletes":2,
"Population":4076530,
"ppa":2038265
},
{
"Country":"Zambia",
"Region":"Africa",
"Athletes":7,
"Population":15933883,
"ppa":2276269
},
{
"Country":"Sri Lanka",
"Region":"Asia",
"Athletes":9,
"Population":20966000,
"ppa":2329555.5556
},
{
"Country":"Nigeria",
"Region":"Africa",
"Athletes":75,
"Population":186988000,
"ppa":2493173.3333
},
{
"Country":"Guinea",
"Region":"Africa",
"Athletes":5,
"Population":12947000,
"ppa":2589400
},
{
"Country":"Cambodia",
"Region":"Asia",
"Athletes":6,
"Population":15626444,
"ppa":2604407.3333
},
{
"Country":"Syria",
"Region":"Middle East",
"Athletes":7,
"Population":18564000,
"ppa":2652000
},
{
"Country":"Ethiopia",
"Region":"Africa",
"Athletes":34,
"Population":92206005,
"ppa":2711941.3235
},
{
"Country":"Saudi Arabia",
"Region":"Middle East",
"Athletes":12,
"Population":33249000,
"ppa":2770750
},
{
"Country":"Mali",
"Region":"Africa",
"Athletes":6,
"Population":18135000,
"ppa":3022500
},
{
"Country":"China",
"Region":"Asia",
"Athletes":413,
"Population":1377845148,
"ppa":3336186.799
},
{
"Country":"Malawi",
"Region":"Africa",
"Athletes":5,
"Population":16832910,
"ppa":3366582
},
{
"Country":"Niger",
"Region":"Africa",
"Athletes":6,
"Population":20715000,
"ppa":3452500
},
{
"Country":"Sierra Leone",
"Region":"Africa",
"Athletes":2,
"Population":7075641,
"ppa":3537820.5
},
{
"Country":"Madagascar",
"Region":"Africa",
"Athletes":6,
"Population":22434363,
"ppa":3739060.5
},
{
"Country":"Burkina Faso",
"Region":"Africa",
"Athletes":5,
"Population":19034397,
"ppa":3806879.4
},
{
"Country":"Vietnam",
"Region":"Asia",
"Athletes":23,
"Population":92700000,
"ppa":4030434.7826
},
{
"Country":"South Sudan",
"Region":"Africa",
"Athletes":3,
"Population":12131000,
"ppa":4043666.6667
},
{
"Country":"Nepal",
"Region":"Asia",
"Athletes":7,
"Population":28431500,
"ppa":4061642.8571
},
{
"Country":"Mozambique",
"Region":"Africa",
"Athletes":6,
"Population":26423700,
"ppa":4403950
},
{
"Country":"Somalia",
"Region":"Africa",
"Athletes":2,
"Population":11079000,
"ppa":5539500
},
{
"Country":"Sudan",
"Region":"Africa",
"Athletes":6,
"Population":39598700,
"ppa":6599783.3333
},
{
"Country":"Yemen",
"Region":"Middle East",
"Athletes":4,
"Population":27478000,
"ppa":6869500
},
{
"Country":"Tanzania",
"Region":"Africa",
"Athletes":7,
"Population":48775567,
"ppa":6967938.1429
},
{
"Country":"Chad",
"Region":"Africa",
"Athletes":2,
"Population":14497000,
"ppa":7248500
},
{
"Country":"Myanmar",
"Region":"Asia",
"Athletes":7,
"Population":51486253,
"ppa":7355179
},
{
"Country":"Philippines",
"Region":"Asia",
"Athletes":13,
"Population":103404000,
"ppa":7954153.8462
},
{
"Country":"Afghanistan",
"Region":"Asia",
"Athletes":3,
"Population":27657145,
"ppa":9219048.3333
},
{
"Country":"Indonesia",
"Region":"Asia",
"Athletes":28,
"Population":258705000,
"ppa":9239464.2857
},
{
"Country":"India",
"Region":"Asia",
"Athletes":124,
"Population":1292867585,
"ppa":10426351.4919
},
{
"Country":"Democratic Republic of the Congo",
"Region":"Africa",
"Athletes":4,
"Population":85026000,
"ppa":21256500
},
{
"Country":"Bangladesh",
"Region":"Asia",
"Athletes":7,
"Population":161162904,
"ppa":23023272
},
{
"Country":"Pakistan",
"Region":"Asia",
"Athletes":7,
"Population":194494369,
"ppa":27784909.8571
}
]
Raw
index.html
<html>
<head>
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.17/d3.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.14.1/lodash.js"></script>
<script src="index.js"></script>
<style>
h2,h3,p{
margin: 8px 8px 8px 8px;
}
body {
margin: 0;
background-color: lightGray;
font-family: Helvetica, Arial, sans-serif;
}
#viz {
width: 1000px;
margin-left: auto;
margin-right: auto;
margin-top: 8px;
padding: 25px;
background-color: white;
box-shadow: 3px 3px 5px 6px #ccc;
}
.axis path,
.axis line {
fill: none;
stroke: black;
shape-rendering: crispEdges;
}
.axis text {
font-family: sans-serif;
font-size: 11px;
}
g text.circleLabel {
font-size: 11px;
font-weight: bold;
text-anchor: start;
fill: blue;
font-family: sans-serif;
z-index: 100;
}
.bestfit{
fill: none;
stroke: black;
}
</style>
</head>
<body>
<h2>2016 Olympic Countries</h2>
<h3>Population vs Participating Athletes</h3>
<div id="viz"></div>
<p>Data compiled from Wikipedia <a href="https://docs.google.com/spreadsheets/d/1NqlKZyzV1o6HzzmNY5Dpp1sd5YBaqW1sNZyY6S7k8rQ/edit#gid=0">here</a>.
</body>
</html>
Raw
index.js
d3.json('data.json',function(raw){
var dataset = raw;
var w = 1000;
var h = 500;
var padding = 40;
var yVariable = "Athletes",
xVariable = "Population",
cVariable = "Region";
var scale = d3.scale.linear()
.domain([100, 500])
.range([10, 350]);
var xScale = d3.scale.log()
.domain([d3.min(dataset, function(d){ return d[xVariable]; }),
d3.max(dataset, function(d){ return d[xVariable]; })])
.range([padding, w - padding])
.nice();
var yScale = d3.scale.log()
.domain([d3.min(dataset, function(d){ return d[yVariable]; }),
d3.max(dataset, function(d){ return d[yVariable]; })])
.range([h - padding, padding]);
var rScale = d3.scale.linear()
.domain([0, d3.max(dataset, function(d) {return d[yVariable]; })])
.range([2, 5]);
var xAxis = d3.svg.axis()
.scale(xScale)
.orient("bottom")
.ticks(20, ",.1s");
var yAxis = d3.svg.axis()
.scale(yScale)
.orient("left")
.ticks(20, ",.1s");
var color = d3.scale.ordinal().range(['#a6cee3','#1f78b4','#b2df8a','#33a02c','#fb9a99','#e31a1c','#fdbf6f','#ff7f00','#cab2d6']);
var svg = d3.select("div#viz")
.append("svg")
.attr("width", w)
.attr("height", h)
.append("g");
var points = svg.selectAll("g")
.data(dataset)
.enter().append("g")
.attr("transform", function(d){
return "translate("+xScale(d[xVariable])+",0)";
});
var circles = points.append("circle")
.attr("class", "circle")
.attr("cy",h - padding);
circles
.on('mouseover',function(d){
d3.select(this.parentNode)
.append("text")
.attr("class", "circleLabel")
.text(function(d){
var pop = d3.format(".2s")(d[xVariable]);
return d.Country+": ("+pop+", "+d[yVariable]+")";
})
.attr("y", function(d){
return yScale(d[yVariable]) + 4;
})
.attr("x",5);
})
.on('mouseout',function(d){
d3.select(this.parentNode)
.select("text")
.remove();
})
circles
.transition()
.duration(function(d, i) { return 3*d[yVariable]; })
.attr("cy", function(d){
return yScale(d[yVariable]);
})
.attr("r", 4)
.style("fill", function(d) { return color(d[cVariable]); });
svg.append("g")
.attr("class", "axis")
.attr("transform", "translate(0," + (h - padding) + ")")
.call(xAxis)
.append("text")
.attr("transform","translate("+w/2+",30)")
.text("Population");
svg.append("g")
.attr("class", "axis")
.attr("transform", "translate(" + padding + ",0)")
.call(yAxis)
.append("text")
.attr("transform","translate(20,"+(h/2 - 30)+") rotate(-90)")
.attr("dy", "-4em")
.style("text-anchor", "end")
.text("2016 Olympic Athletes");;
var legend = svg.selectAll(".legend")
.data(color.domain().sort())
.enter().append("g")
.attr("class", "legend")
.attr("transform", function(d, i) { return "translate(0," + i*20 + ")"; });
legend.append("rect")
.attr("x", w - 18)
.attr("width", 18)
.attr("height", 18)
.style("fill", color)
.on("click", function(d,i){
typeHighlight(d);
});
legend.append("text")
.attr("x", w - 24)
.attr("y", 9)
.attr("dy", ".35em")
.style("text-anchor", "end")
.text(function(d) { return d });
svg.append('line')
.attr('class','bestfit')
.attr('x1',xScale(d3.min(dataset,function(d){ return d[xVariable]; })))
.attr('x2',xScale(d3.max(dataset,function(d){ return d[xVariable]; })))
.attr('y1',yScale(d3.min(dataset,function(d){ return d[yVariable]; })))
.attr('y2',yScale(d3.max(dataset,function(d){ return d[yVariable]; })));
var colorSwitch = '';
function typeHighlight(type){
if (colorSwitch == type) {
colorSwitch = '';
legend.style("font-weight", "normal");
circles.style("fill", function(d) {
return color(d[cVariable]); });
} else {
colorSwitch = type;
legend.style("font-weight", "normal");
legend.filter(function(d) { return d == colorSwitch })
.style("font-weight", "bold");
circles.style("fill", function(d) {
return color(d[cVariable]); });
circles.filter(function(d) {
return d[cVariable] != colorSwitch })
.style("fill", "#f0f0f0");
}
};
});
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