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Top500 supercompters
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.block
license: mit
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countries.js
var chartData = [
{
'Canada'
: 22, 'United Kingdom'
: 45, 'Italy'
: 4, 'India'
: 0, 'Japan'
: 212, 'List': new Date(1993.0, 5, 1) , 'Korea, South'
: 3, 'France'
: 33, 'United States'
: 699, 'Sweden'
: 0, 'China'
: 0, 'Others'
: 27, 'Switzerland'
: 8, 'Germany'
: 64, 'Russia'
: 0, 'Spain'
: 2,
},
{
'Canada'
: 23, 'United Kingdom'
: 44, 'Italy'
: 4, 'India'
: 0, 'Japan'
: 357, 'List': new Date(1993.0, 10, 1) , 'Korea, South'
: 16, 'France'
: 34, 'United States'
: 891, 'Sweden'
: 0, 'China'
: 0, 'Others'
: 28, 'Switzerland'
: 9, 'Germany'
: 70, 'Russia'
: 0, 'Spain'
: 4,
},
{
'Canada'
: 23, 'United Kingdom'
: 90, 'Italy'
: 2, 'India'
: 0, 'Japan'
: 625, 'List': new Date(1994.0, 5, 1) , 'Korea, South'
: 16, 'France'
: 58, 'United States'
: 1310, 'Sweden'
: 2, 'China'
: 0, 'Others'
: 37, 'Switzerland'
: 27, 'Germany'
: 107, 'Russia'
: 0, 'Spain'
: 7,
},
{
'Canada'
: 49, 'United Kingdom'
: 111, 'Italy'
: 3, 'India'
: 0, 'Japan'
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: 13, 'France'
: 75, 'United States'
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: 0, 'Others'
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: 0, 'Spain'
: 6,
},
{
'Canada'
: 61, 'United Kingdom'
: 136, 'Italy'
: 23, 'India'
: 0, 'Japan'
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: 13, 'France'
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: 7,
},
{
'Canada'
: 78, 'United Kingdom'
: 144, 'Italy'
: 27, 'India'
: 0, 'Japan'
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: 0, 'Spain'
: 3,
},
{
'Canada'
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: 21, 'India'
: 0, 'Japan'
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},
{
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},
{
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},
{
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},
{
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},
{
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},
{
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},
{
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: 0,
},
{
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},
{
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},
{
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},
{
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},
{
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{
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},
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},
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},
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},
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},
{
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},
{
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},
{
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},
{
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},
{
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},
{
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},
{
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},
{
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},
{
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},
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},
{
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: 5679724, 'France'
: 25398803, 'United States'
: 228032809, 'Sweden'
: 3378143, 'China'
: 223571135, 'Others'
: 31980926, 'Switzerland'
: 12273082, 'Germany'
: 36501434, 'Russia'
: 4411812, 'Spain'
: 925058,
},
{
'Canada'
: 5612415, 'United Kingdom'
: 30717835, 'Italy'
: 17308313, 'India'
: 2703926, 'Japan'
: 62481816, 'List': new Date(2017.0, 5, 1) , 'Korea, South'
: 8534877, 'France'
: 25291568, 'United States'
: 251663305, 'Sweden'
: 4029796, 'China'
: 235115292, 'Others'
: 36138511, 'Switzerland'
: 21716281, 'Germany'
: 37497153, 'Russia'
: 3662012, 'Spain'
: 6227200,
},
{
'Canada'
: 5088851, 'United Kingdom'
: 32268888, 'Italy'
: 16274622, 'India'
: 2794753, 'Japan'
: 90874702, 'List': new Date(2017.0, 10, 1) , 'Korea, South'
: 7051981, 'France'
: 30818432, 'United States'
: 249829542, 'Sweden'
: 4932065, 'China'
: 298876659, 'Others'
: 36036686, 'Switzerland'
: 21716281, 'Germany'
: 38424228, 'Russia'
: 3662012, 'Spain'
: 6470800,
},
]
Raw
index.html
<!DOCTYPE html>
<head>
<meta charset="utf-8">
<script src="https://d3js.org/d3.v4.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/Chart.js/2.5.0/Chart.min.js"> </script>
<script src="countries.js"></script>
<style>
body { margin:0;position:fixed;top:0;right:0;bottom:0;left:0; }
</style>
</head>
<body>
<div style="width:75%; margin: 1em auto">
<canvas id="chart" width="900" height="600"></canvas>
</div>
<script>
var colorScale = d3.scaleOrdinal(d3.schemeCategory20)
var months = { 5 : "Mai", 10 : "Oct"}
// map keys
var quarters = chartData
.filter(d => d.List.getFullYear() > 2005)
.map(d => months[d["List"].getMonth()]+" "+ d["List"].getFullYear())
// console.log(quarters)
// remove useless names in counties list
var europe = ["United Kingdom", "Italy", "France", "Sweden", "Germany", "Spain"]
var countries = Object.keys(chartData[0])
.filter(country => country != "List")
var data = {}
countries
.filter(d=> europe.indexOf(d)===-1) // not in Europe
.forEach(country => data[country] = [])
data["Europe"] = []
chartData
.filter(d => d.List.getFullYear() > 2005)
.forEach(d => {
var point = 0;
countries.forEach( country => {
if (europe.indexOf(country)>-1 ) {
point = point + d[country]
} else {
data[country].push(d[country])
}
})
data["Europe"].push(point)
})
var sortedCountries = [ "Others", "China", "Japan", "Korea, South", "India", "United States", "Canada", "Russia", "Switzerland", "Europe"].reverse()
var frenchCountries = {
"Canada" : "Canada" ,
"India" : "Inde",
"Japan" : "Japon",
"Korea, South" : "Corée du Sud",
"United States" : "USA",
"China" : "Chine",
"Others" : "Autres",
"Switzerland" : "Suisse",
"Russia" : "Russie",
"Europe" : "Europe"
}
// map values
var datasets = sortedCountries
.map(country => {
return {
fill: true,
label : frenchCountries[country],
data : data[country].map(d => d/1000000),
borderColor : colorScale(country),
backgroundColor : colorScale(country)
}
})
// console.log(quarters)
console.log(datasets.map(d=> d.data.length))
var config = {
type: 'line',
data: {
labels : quarters,
datasets : datasets
},
options: {
responsive: true,
title:{
display:false,
text:"Capacité théorique de calcul"
},
elements: { point: { radius: 1 } },
tooltips: {
mode: 'index',
// callbacks: {
// label: (tooltipItem, data) => tooltipItem.yLabel+"%";
// }
},
scales: {
xAxes: [{
scaleLabel: {
display: false,
labelString: 'Trimestres'
}
}],
yAxes: [{
stacked: true,
scaleLabel: {
display: true,
labelString: 'Capacité théorique de calcul (exaFLOPS)'
},
ticks: {
beginAtZero: true,
// steps: 10,
// stepValue: 5,
// max: 100
}
}]
},
animation: {
duration: 750,
},
}
}
var chart = new Chart(document.getElementById("chart"), config);
</script>
</body>
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