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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'
: 722, 'List': new Date(1994.0, 10, 1) , 'Korea, South'
: 13, 'France'
: 75, 'United States'
: 1450, 'Sweden'
: 7, 'China'
: 0, 'Others'
: 88, 'Switzerland'
: 45, 'Germany'
: 147, 'Russia'
: 0, 'Spain'
: 6,
},
{
'Canada'
: 61, 'United Kingdom'
: 136, 'Italy'
: 23, 'India'
: 0, 'Japan'
: 974, 'List': new Date(1995.0, 5, 1) , 'Korea, South'
: 13, 'France'
: 113, 'United States'
: 2164, 'Sweden'
: 19, 'China'
: 5, 'Others'
: 99, 'Switzerland'
: 77, 'Germany'
: 222, 'Russia'
: 0, 'Spain'
: 7,
},
{
'Canada'
: 78, 'United Kingdom'
: 144, 'Italy'
: 27, 'India'
: 0, 'Japan'
: 1232, 'List': new Date(1995.0, 10, 1) , 'Korea, South'
: 35, 'France'
: 126, 'United States'
: 2581, 'Sweden'
: 21, 'China'
: 5, 'Others'
: 159, 'Switzerland'
: 95, 'Germany'
: 267, 'Russia'
: 0, 'Spain'
: 3,
},
{
'Canada'
: 72, 'United Kingdom'
: 160, 'Italy'
: 21, 'India'
: 0, 'Japan'
: 1835, 'List': new Date(1996.0, 5, 1) , 'Korea, South'
: 38, 'France'
: 152, 'United States'
: 2784, 'Sweden'
: 38, 'China'
: 5, 'Others'
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: 402, 'Russia'
: 0, 'Spain'
: 21,
},
{
'Canada'
: 82, 'United Kingdom'
: 360, 'Italy'
: 42, 'India'
: 0, 'Japan'
: 2506, 'List': new Date(1996.0, 10, 1) , 'Korea, South'
: 29, 'France'
: 239, 'United States'
: 3505, 'Sweden'
: 31, 'China'
: 6, 'Others'
: 345, 'Switzerland'
: 129, 'Germany'
: 660, 'Russia'
: 0, 'Spain'
: 33,
},
{
'Canada'
: 109, 'United Kingdom'
: 466, 'Italy'
: 50, 'India'
: 0, 'Japan'
: 2993, 'List': new Date(1997.0, 5, 1) , 'Korea, South'
: 165, 'France'
: 441, 'United States'
: 6650, 'Sweden'
: 136, 'China'
: 0, 'Others'
: 421, 'Switzerland'
: 108, 'Germany'
: 1243, 'Russia'
: 16, 'Spain'
: 34,
},
{
'Canada'
: 164, 'United Kingdom'
: 1137, 'Italy'
: 75, 'India'
: 0, 'Japan'
: 3445, 'List': new Date(1997.0, 10, 1) , 'Korea, South'
: 183, 'France'
: 553, 'United States'
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: 197, 'China'
: 0, 'Others'
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: 113, 'Germany'
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: 20, 'Spain'
: 65,
},
{
'Canada'
: 257, 'United Kingdom'
: 1357, 'Italy'
: 161, 'India'
: 0, 'Japan'
: 3730, 'List': new Date(1998.0, 5, 1) , 'Korea, South'
: 237, 'France'
: 522, 'United States'
: 12872, 'Sweden'
: 243, 'China'
: 0, 'Others'
: 631, 'Switzerland'
: 120, 'Germany'
: 2367, 'Russia'
: 20, 'Spain'
: 99,
},
{
'Canada'
: 449, 'United Kingdom'
: 2253, 'Italy'
: 142, 'India'
: 0, 'Japan'
: 3699, 'List': new Date(1998.0, 10, 1) , 'Korea, South'
: 212, 'France'
: 709, 'United States'
: 17802, 'Sweden'
: 253, 'China'
: 0, 'Others'
: 617, 'Switzerland'
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: 2938, 'Russia'
: 20, 'Spain'
: 112,
},
{
'Canada'
: 481, 'United Kingdom'
: 2655, 'Italy'
: 344, 'India'
: 0, 'Japan'
: 5562, 'List': new Date(1999.0, 5, 1) , 'Korea, South'
: 149, 'France'
: 946, 'United States'
: 23729, 'Sweden'
: 351, 'China'
: 0, 'Others'
: 1082, 'Switzerland'
: 168, 'Germany'
: 3504, 'Russia'
: 0, 'Spain'
: 82,
},
{
'Canada'
: 436, 'United Kingdom'
: 3203, 'Italy'
: 426, 'India'
: 0, 'Japan'
: 6518, 'List': new Date(1999.0, 10, 1) , 'Korea, South'
: 354, 'France'
: 2162, 'United States'
: 30102, 'Sweden'
: 422, 'China'
: 37, 'Others'
: 1443, 'Switzerland'
: 255, 'Germany'
: 5571, 'Russia'
: 0, 'Spain'
: 0,
},
{
'Canada'
: 729, 'United Kingdom'
: 3913, 'Italy'
: 455, 'India'
: 0, 'Japan'
: 9849, 'List': new Date(2000.0, 5, 1) , 'Korea, South'
: 454, 'France'
: 2165, 'United States'
: 36097, 'Sweden'
: 393, 'China'
: 100, 'Others'
: 2437, 'Switzerland'
: 420, 'Germany'
: 7119, 'Russia'
: 0, 'Spain'
: 89,
},
{
'Canada'
: 915, 'United Kingdom'
: 5291, 'Italy'
: 854, 'India'
: 0, 'Japan'
: 11220, 'List': new Date(2000.0, 10, 1) , 'Korea, South'
: 487, 'France'
: 2843, 'United States'
: 50567, 'Sweden'
: 943, 'China'
: 0, 'Others'
: 5988, 'Switzerland'
: 545, 'Germany'
: 8275, 'Russia'
: 0, 'Spain'
: 143,
},
{
'Canada'
: 1182, 'United Kingdom'
: 5599, 'Italy'
: 1237, 'India'
: 0, 'Japan'
: 15887, 'List': new Date(2001.0, 5, 1) , 'Korea, South'
: 700, 'France'
: 2985, 'United States'
: 64020, 'Sweden'
: 685, 'China'
: 0, 'Others'
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: 454, 'Germany'
: 9607, 'Russia'
: 0, 'Spain'
: 155,
},
{
'Canada'
: 1622, 'United Kingdom'
: 7236, 'Italy'
: 1348, 'India'
: 0, 'Japan'
: 18383, 'List': new Date(2001.0, 10, 1) , 'Korea, South'
: 2281, 'France'
: 3892, 'United States'
: 77848, 'Sweden'
: 897, 'China'
: 395, 'Others'
: 8433, 'Switzerland'
: 238, 'Germany'
: 12054, 'Russia'
: 109, 'Spain'
: 231,
},
{
'Canada'
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: 11896, 'Italy'
: 3814, 'India'
: 0, 'Japan'
: 57315, 'List': new Date(2002.0, 5, 1) , 'Korea, South'
: 2138, 'France'
: 9307, 'United States'
: 99263, 'Sweden'
: 1555, 'China'
: 640, 'Others'
: 12729, 'Switzerland'
: 590, 'Germany'
: 20122, 'Russia'
: 564, 'Spain'
: 0,
},
{
'Canada'
: 1166, 'United Kingdom'
: 20120, 'Italy'
: 4887, 'India'
: 0, 'Japan'
: 57578, 'List': new Date(2002.0, 10, 1) , 'Korea, South'
: 2569, 'France'
: 9644, 'United States'
: 148623, 'Sweden'
: 2256, 'China'
: 1899, 'Others'
: 15322, 'Switzerland'
: 736, 'Germany'
: 25860, 'Russia'
: 734, 'Spain'
: 410,
},
{
'Canada'
: 4205, 'United Kingdom'
: 22895, 'Italy'
: 5794, 'India'
: 1158, 'Japan'
: 62598, 'List': new Date(2003.0, 5, 1) , 'Korea, South'
: 5023, 'France'
: 11891, 'United States'
: 198833, 'Sweden'
: 2350, 'China'
: 3193, 'Others'
: 20929, 'Switzerland'
: 2387, 'Germany'
: 27007, 'Russia'
: 1079, 'Spain'
: 694,
},
{
'Canada'
: 8838, 'United Kingdom'
: 28956, 'Italy'
: 8498, 'India'
: 2098, 'Japan'
: 62428, 'List': new Date(2003.0, 10, 1) , 'Korea, South'
: 10025, 'France'
: 15266, 'United States'
: 297340, 'Sweden'
: 2938, 'China'
: 11579, 'Others'
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: 24402, 'Russia'
: 1173, 'Spain'
: 1927,
},
{
'Canada'
: 12121, 'United Kingdom'
: 57901, 'Italy'
: 12346, 'India'
: 5652, 'Japan'
: 90901, 'List': new Date(2004.0, 5, 1) , 'Korea, South'
: 9082, 'France'
: 21755, 'United States'
: 461034, 'Sweden'
: 3782, 'China'
: 27614, 'Others'
: 62577, 'Switzerland'
: 1817, 'Germany'
: 42975, 'Russia'
: 1456, 'Spain'
: 1285,
},
{
'Canada'
: 15830, 'United Kingdom'
: 83816, 'Italy'
: 17989, 'India'
: 6944, 'Japan'
: 95004, 'List': new Date(2004.0, 10, 1) , 'Korea, South'
: 14851, 'France'
: 21315, 'United States'
: 687603, 'Sweden'
: 4642, 'China'
: 31937, 'Others'
: 71610, 'Switzerland'
: 4076, 'Germany'
: 48264, 'Russia'
: 2251, 'Spain'
: 22691,
},
{
'Canada'
: 23503, 'United Kingdom'
: 85558, 'Italy'
: 20064, 'India'
: 13995, 'Japan'
: 128625, 'List': new Date(2005.0, 5, 1) , 'Korea, South'
: 28866, 'France'
: 19785, 'United States'
: 1045885, 'Sweden'
: 7239, 'China'
: 53479, 'Others'
: 122105, 'Switzerland'
: 25008, 'Germany'
: 80481, 'Russia'
: 7851, 'Spain'
: 32432,
},
{
'Canada'
: 22048, 'United Kingdom'
: 124409, 'Italy'
: 14536, 'India'
: 11378, 'Japan'
: 130523, 'List': new Date(2005.0, 10, 1) , 'Korea, South'
: 31599, 'France'
: 23512, 'United States'
: 1570714, 'Sweden'
: 4999, 'China'
: 59541, 'Others'
: 165274, 'Switzerland'
: 34368, 'Germany'
: 71303, 'Russia'
: 5355, 'Spain'
: 29770,
},
{
'Canada'
: 37300, 'United Kingdom'
: 137861, 'Italy'
: 19728, 'India'
: 36839, 'Japan'
: 260088, 'List': new Date(2006.0, 5, 1) , 'Korea, South'
: 27121, 'France'
: 67406, 'United States'
: 1779389, 'Sweden'
: 4999, 'China'
: 94175, 'Others'
: 159387, 'Switzerland'
: 36636, 'Germany'
: 93970, 'Russia'
: 6645, 'Spain'
: 27910,
},
{
'Canada'
: 37316, 'United Kingdom'
: 186417, 'Italy'
: 39171, 'India'
: 34162, 'Japan'
: 286673, 'List': new Date(2006.0, 10, 1) , 'Korea, South'
: 33715, 'France'
: 99870, 'United States'
: 2271401, 'Sweden'
: 4999, 'China'
: 72192, 'Others'
: 167547, 'Switzerland'
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: 145407, 'Russia'
: 9704, 'Spain'
: 91600,
},
{
'Canada'
: 54818, 'United Kingdom'
: 337997, 'Italy'
: 36604, 'India'
: 45696, 'Japan'
: 285611, 'List': new Date(2007.0, 5, 1) , 'Korea, South'
: 35313, 'France'
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: 3075750, 'Sweden'
: 50932, 'China'
: 96403, 'Others'
: 340519, 'Switzerland'
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: 245831, 'Russia'
: 31164, 'Spain'
: 97617,
},
{
'Canada'
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: 506470, 'Italy'
: 69111, 'India'
: 194523, 'Japan'
: 291118, 'List': new Date(2007.0, 10, 1) , 'Korea, South'
: 15706, 'France'
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: 4181665, 'Sweden'
: 186176, 'China'
: 87176, 'Others'
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: 536463, 'Russia'
: 82615, 'Spain'
: 137451,
},
{
'Canada'
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: 16990, 'France'
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: 140311, 'Others'
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: 154617, 'Spain'
: 133161,
},
{
'Canada'
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: 16990, 'France'
: 886782, 'United States'
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: 274790, 'China'
: 520961, 'Others'
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: 222968, 'Spain'
: 153201,
},
{
'Canada'
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: 1230924, 'Italy'
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: 247285, 'Japan'
: 873109, 'List': new Date(2009.0, 5, 1) , 'Korea, South'
: 0, 'France'
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: 343447, 'China'
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: 146316,
},
{
'Canada'
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: 994211, 'List': new Date(2009.0, 10, 1) , 'Korea, South'
: 298170, 'France'
: 1214249, 'United States'
: 16425369, 'Sweden'
: 300733, 'China'
: 1379876, 'Others'
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: 2288765, 'Russia'
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: 205897,
},
{
'Canada'
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: 274800, 'France'
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: 2992629, 'Others'
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: 138513,
},
{
'Canada'
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: 907600, 'France'
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: 367030, 'China'
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},
{
'Canada'
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: 950833, 'France'
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},
{
'Canada'
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},
{
'Canada'
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},
{
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{
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},
{
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},
{
'Canada'
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{
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},
{
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},
{
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},
{
'Canada'
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: 6456658, 'France'
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},
{
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: 5679724, 'France'
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: 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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