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Created April 22, 2015 21:50
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D3 Cartogram
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D3_Cartogram_.idea_.name
D3_Cartogram
Raw
D3_Cartogram_.idea_D3_Cartogram.iml
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Raw
D3_Cartogram_.idea_encodings.xml
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Raw
D3_Cartogram_.idea_misc.xml
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Raw
D3_Cartogram_.idea_modules.xml
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Raw
D3_Cartogram_.idea_scopes_scope_settings.xml
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Raw
D3_Cartogram_.idea_vcs.xml
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Raw
D3_Cartogram_.idea_workspace.xml
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<entry file="file://C:/wamp/www/FinalProject/d3/d3.js">
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Raw
D3_Cartogram_cartogram.js
(function(exports) {
/*
* d3.cartogram is a d3-friendly implementation of An Algorithm to Construct
* Continuous Area Cartograms:
*
* <http://chrisman.scg.ulaval.ca/G360/dougenik.pdf>
*
* It requires topojson to decode TopoJSON-encoded topologies:
*
* <http://github.com/mbostock/topojson/>
*
* Usage:
*
* var cartogram = d3.cartogram()
* .projection(d3.geo.albersUsa())
* .value(function(d) {
* return Math.random() * 100;
* });
* d3.json("path/to/topology.json", function(topology) {
* var features = cartogram(topology, topology.objects.OBJECTNAME.geometries);
* d3.select("svg").selectAll("path")
* .data(features)
* .enter()
* .append("path")
* .attr("d", cartogram.path);
* });
*/
d3.cartogram = function() {
function carto(topology, geometries) {
// copy it first
topology = copy(topology);
// objects are projected into screen coordinates
// project the arcs into screen space
var tf = transformer(topology.transform),x,y,len1,i1,out1,len2=topology.arcs.length,i2=0,
projectedArcs = new Array(len2);
while(i2<len2){
x = 0;
y = 0;
len1 = topology.arcs[i2].length;
i1 = 0;
out1 = new Array(len1);
while(i1<len1){
topology.arcs[i2][i1][0] = (x += topology.arcs[i2][i1][0]);
topology.arcs[i2][i1][1] = (y += topology.arcs[i2][i1][1]);
out1[i1] = projection(tf(topology.arcs[i2][i1]));
i1++;
}
projectedArcs[i2++]=out1;
}
// path with identity projection
var path = d3.geo.path()
.projection(null);
var objects = object(projectedArcs, {type: "GeometryCollection", geometries: geometries})
.geometries.map(function(geom) {
return {
type: "Feature",
id: geom.id,
properties: properties.call(null, geom, topology),
geometry: geom
};
});
var values = objects.map(value),
totalValue = d3.sum(values);
// no iterations; just return the features
if (iterations <= 0) {
return objects;
}
var i = 0;
while (i++ < iterations) {
var areas = objects.map(path.area);
var totalArea = d3.sum(areas),
sizeErrorsTot =0,
sizeErrorsNum=0,
meta = objects.map(function(o, j) {
var area = Math.abs(areas[j]), // XXX: why do we have negative areas?
v = +values[j],
desired = totalArea * v / totalValue,
radius = Math.sqrt(area / Math.PI),
mass = Math.sqrt(desired / Math.PI) - radius,
sizeError = Math.max(area, desired) / Math.min(area, desired);
sizeErrorsTot+=sizeError;
sizeErrorsNum++;
// console.log(o.id, "@", j, "area:", area, "value:", v, "->", desired, radius, mass, sizeError);
return {
id: o.id,
area: area,
centroid: path.centroid(o),
value: v,
desired: desired,
radius: radius,
mass: mass,
sizeError: sizeError
};
});
var sizeError = sizeErrorsTot/sizeErrorsNum,
forceReductionFactor = 1 / (1 + sizeError);
// console.log("meta:", meta);
// console.log(" total area:", totalArea);
// console.log(" force reduction factor:", forceReductionFactor, "mean error:", sizeError);
var len1,i1,delta,len2=projectedArcs.length,i2=0,delta,len3,i3,centroid,mass,radius,rSquared,dx,dy,distSquared,dist,Fij;
while(i2<len2){
len1=projectedArcs[i2].length;
i1=0;
while(i1<len1){
// create an array of vectors: [x, y]
delta = [0,0];
len3 = meta.length;
i3=0;
while(i3<len3) {
centroid = meta[i3].centroid;
mass = meta[i3].mass;
radius = meta[i3].radius;
rSquared = (radius*radius);
dx = projectedArcs[i2][i1][0] - centroid[0];
dy = projectedArcs[i2][i1][1] - centroid[1];
distSquared = dx * dx + dy * dy;
dist=Math.sqrt(distSquared);
Fij = (dist > radius)
? mass * radius / dist
: mass *
(distSquared / rSquared) *
(4 - 3 * dist / radius);
delta[0]+=(Fij * cosArctan(dy,dx));
delta[1]+=(Fij * sinArctan(dy,dx));
i3++;
}
projectedArcs[i2][i1][0] += (delta[0]*forceReductionFactor);
projectedArcs[i2][i1][1] += (delta[1]*forceReductionFactor);
i1++;
}
i2++;
}
// break if we hit the target size error
if (sizeError <= 1) break;
}
return {
features: objects,
arcs: projectedArcs
};
}
var iterations = 8,
projection = d3.geo.albers(),
properties = function(id) {
return {};
},
value = function(d) {
return 1;
};
// for convenience
carto.path = d3.geo.path()
.projection(null);
carto.iterations = function(i) {
if (arguments.length) {
iterations = i;
return carto;
} else {
return iterations;
}
};
carto.value = function(v) {
if (arguments.length) {
value = d3.functor(v);
return carto;
} else {
return value;
}
};
carto.projection = function(p) {
if (arguments.length) {
projection = p;
return carto;
} else {
return projection;
}
};
carto.feature = function(topology, geom) {
return {
type: "Feature",
id: geom.id,
properties: properties.call(null, geom, topology),
geometry: {
type: geom.type,
coordinates: topojson.feature(topology, geom).geometry.coordinates
}
};
};
carto.features = function(topo, geometries) {
return geometries.map(function(f) {
return carto.feature(topo, f);
});
};
carto.properties = function(props) {
if (arguments.length) {
properties = d3.functor(props);
return carto;
} else {
return properties;
}
};
return carto;
};
var transformer = d3.cartogram.transformer = function(tf) {
var kx = tf.scale[0],
ky = tf.scale[1],
dx = tf.translate[0],
dy = tf.translate[1];
function transform(c) {
return [c[0] * kx + dx, c[1] * ky + dy];
}
transform.invert = function(c) {
return [(c[0] - dx) / kx, (c[1]- dy) / ky];
};
return transform;
};
function angle(a, b) {
return Math.atan2(b[1] - a[1], b[0] - a[0]);
}
function distance(a, b) {
var dx = b[0] - a[0],
dy = b[1] - a[1];
return Math.sqrt(dx * dx + dy * dy);
}
function projector(proj) {
var types = {
Point: proj,
LineString: function(coords) {
return coords.map(proj);
},
MultiLineString: function(arcs) {
return arcs.map(types.LineString);
},
Polygon: function(rings) {
return rings.map(types.LineString);
},
MultiPolygon: function(rings) {
return rings.map(types.Polygon);
}
};
return function(geom) {
return types[geom.type](geom.coordinates);
};
}
function cosArctan(dx,dy){
var div = dx/dy;
return (dy>0)?
(1/Math.sqrt(1+(div*div))):
(-1/Math.sqrt(1+(div*div)));
}
function sinArctan(dx,dy){
var div = dx/dy;
return (dy>0)?
(div/Math.sqrt(1+(div*div))):
(-div/Math.sqrt(1+(div*div)));
}
function copy(o) {
return (o instanceof Array)
? o.map(copy)
: (typeof o === "string" || typeof o === "number")
? o
: copyObject(o);
}
function copyObject(o) {
var obj = {};
for (var k in o) obj[k] = copy(o[k]);
return obj;
}
function object(arcs, o) {
function arc(i, points) {
if (points.length) points.pop();
for (var a = arcs[i < 0 ? ~i : i], k = 0, n = a.length; k < n; ++k) {
points.push(a[k]);
}
if (i < 0) reverse(points, n);
}
function line(arcs) {
var points = [];
for (var i = 0, n = arcs.length; i < n; ++i) arc(arcs[i], points);
return points;
}
function polygon(arcs) {
return arcs.map(line);
}
function geometry(o) {
o = Object.create(o);
o.coordinates = geometryType[o.type](o.arcs);
return o;
}
var geometryType = {
LineString: line,
MultiLineString: polygon,
Polygon: polygon,
MultiPolygon: function(arcs) { return arcs.map(polygon); }
};
return o.type === "GeometryCollection"
? (o = Object.create(o), o.geometries = o.geometries.map(geometry), o)
: geometry(o);
}
function reverse(array, n) {
var t, j = array.length, i = j - n; while (i < --j) t = array[i], array[i++] = array[j], array[j] = t;
}
})(this);
Raw
D3_Cartogram_data_new_score.csv
Id Country Internet_Users GDP Literacy_rates female_male Population
32 Argentina 59.9 14715.18002 97.91609192 156.225 41.45
36 Australia 83 67458.35541 0 138.061 23.13
40 Austria 80.6188 50546.6975 0 119.556 8.47
48 Bahrain 90 24689.10563 94.55679321 198.164 1.33
50 Bangladesh 6.5 957.824266 58.78771973 69.034 156.59
56 Belgium 82.1702 46877.98625 0 128.087 11.2
204 Benin 4.9 804.6924986 42.4 26.963 10.32
72 Botswana 15 7315.019289 86.72881317 0 2.02
76 Brazil 51.6 11208.08274 91.33374023 0 200.36
854 Burkina Faso 4.4 683.9484018 28.72921371 49.558 16.93
120 Cameroon 6.4 1328.640205 71.29050446 73.457 22.25
124 Canada 85.8 51958.38124 0 0 35.16
152 Chile 66.5 15732.31377 98.55367279 111.82 17.62
156 China 45.8 6807.430824 95.12447357 112.648 1357.38
170 Colombia 51.7 7831.215313 93.58053589 112.518 48.32
188 Costa Rica 45.96 10184.60567 97.40658569 127.255 4.87
203 Czech Republic 74.1104 19844.76165 0 142.037 10.52
208 Denmark 94.6297 59831.69556 0 141.113 5.61
218 Ecuador 40.35368423 6002.885459 93.29462433 115.102 15.74
818 Egypt 49.56 3314.462928 73.86558533 96.39 82.06
233 Estonia 80.0043 18783.05871 99.86277771 152.837 1.32
231 Ethiopia 1.9 505.0457458 38.99598312 0 94.1
246 Finland 91.5144 49146.64663 0 120.989 5.44
250 France 81.9198 42503.30359 0 125.835 66.03
276 Germany 83.9614 46268.64107 0 104.969 80.62
288 Ghana 12.3 1858.242598 71.49707794 61.075 25.9
300 Greece 59.8663 21956.41154 97.36376953 103.436 11.03
332 Haiti 10.6 819.9039143 0 0 10.32
348 Hungary 72.6439 13480.91026 99.37355804 130.091 9.9
352 Iceland 96.5468 47461.18559 0 170.482 0.32
356 India 15.1 1498.872175 0 78.126 1252.14
360 Indonesia 15.82 3475.250474 92.81190491 103.47 249.87
372 Ireland 78.2477 50503.4228 0 103.05 4.6
376 Israel 70.8 36050.69793 97.76419067 132.134 8.06
380 Italy 58.4593 35925.87748 99.02561188 142.269 59.83
388 Jamaica 37.8 5289.967803 87.48201752 205.03 2.72
392 Japan 86.25 38633.70806 0 90.22 127.34
400 Jordan 44.2 5214.197267 97.89031982 115.017 6.46
398 Kazakhstan 54 13609.75338 99.73241425 143.479 17.04
404 Kenya 39 1245.512041 72.1570282 70.266 44.35
454 Malawi 5.4 226.4551027 61.3097229 64.887 16.36
458 Malaysia 66.97 10538.05789 93.11788177 119.531 29.72
466 Mali 2.3 715.133813 33.56093979 42.571 15.3
480 Mauritius 39 9202.517324 89.24983215 132.449 1.3
484 Mexico 43.46 10307.28304 94.22840118 95.877 122.33
504 Morocco 56 3092.606545 67.08415985 89.118 33.01
508 Mozambique 5.4 605.0341744 50.58381271 62.443 25.83
104 Myanmar 1.2 1200 92.62518311 134.45 53.26
516 Namibia 13.9 5693.129154 76.48659515 127.641 2.3
524 Nepal 13.3 694.1047943 57.36910248 63.685 27.8
528 Netherlands 93.9564 50793.14296 0 109.947 16.8
554 New Zealand 82.78 41555.83441 0 146.15 4.47
566 Nigeria 38 3005.513796 51.07765961 0 173.62
578 Norway 95.0534 100818.5032 0 157.639 5.08
586 Pakistan 10.9 1275.301817 54.73801804 95.472 182.14
604 Peru 39.2 6661.591112 93.84172821 109.368 30.38
608 Philippines 37 2765.084587 95.42009735 123.837 98.39
616 Poland 62.8492 13647.9647 99.74762726 155.022 38.53
620 Portugal 62.0956 21733.07306 94.47705078 119.754 10.46
634 Qatar 85.3 93714.06338 96.6785965 676.162 2.17
410 Republic Of Korea 84.77 25976.95283 0 74.951 50.22
643 Russian Federation 61.4 14611.70078 99.68426514 125.969 143.5
646 Rwanda 8.7 638.6657954 65.85227203 75.715 11.78
682 Saudi Arabia 60.5 25961.80842 94.42634583 106.152 28.83
686 Senegal 20.9 1046.586426 52.05195999 58.646 14.13
694 Sierra Leone 1.7 678.9609045 44.46472931 0 6.09
702 Singapore 73 55182.48279 96.36598206 0 5.4
710 South Africa 48.9 6617.911609 93.7294693 0 52.98
724 Spain 71.5719 29863.17672 97.89453888 121.912 46.65
752 Sweden 94.7836 60430.21558 0 155.356 9.59
756 Switzerland 86.7 84815.40701 0 99.158 8.08
764 Thailand 28.94 5778.977216 96.4309082 134.064 67.01
788 Tunisia 43.8 4316.685695 79.65390778 159.05 10.89
792 Turkey 46.25 10971.65631 94.9197464 85.19 74.93
800 Uganda 16.2 571.9600416 73.21188354 26.899 37.58
804 Ukraine 41.8 3900.465376 99.73021698 114.983 45.49
784 United Arab Emirates 88 43048.85015 0 0 9.35
826 United Kingdom Of Great Britain And Northern Ireland 89.8441 41787.46798 0 135.569 64.1
834 United Republic Of Tanzania 4.4 694.7711797 67.80069733 54.727 49.25
840 United States Of America 84.2 53041.98141 0 139.209 316.13
858 Uruguay 58.1 16350.72817 98.39594269 172.669 3.41
862 Venezuela (Bolivarian Republic Of) 54.9 14414.75353 95.51199341 169.419 30.41
704 Viet Nam 43.9 1910.512818 93.52045441 101.619 89.71
887 Yemen 20 1473.099564 66.37377167 44.093 24.41
894 Zambia 15.4 1844.799139 61.42828751 0 14.54
716 Zimbabwe 18.5 953.3806071 83.5827179 77.545 14.15
Raw
D3_Cartogram_data_parallel_score.csv
Id Country Internet_Users GDP Literacy_rates female_male Population
ARG Argentina 59.9 14715.18002 97.91609192 156.225 41.45
AUS Australia 83 67458.35541 0 138.061 23.13
AUT Austria 80.6188 50546.6975 0 119.556 8.47
BHR Bahrain 90 24689.10563 94.55679321 198.164 1.33
BGD Bangladesh 6.5 957.824266 58.78771973 69.034 156.59
BEL Belgium 82.1702 46877.98625 0 128.087 11.2
BEN Benin 4.9 804.6924986 42.4 26.963 10.32
BWA Botswana 15 7315.019289 86.72881317 0 2.02
BRA Brazil 51.6 11208.08274 91.33374023 0 200.36
BFA Burkina Faso 4.4 683.9484018 28.72921371 49.558 16.93
CMR Cameroon 6.4 1328.640205 71.29050446 73.457 22.25
CAN Canada 85.8 51958.38124 0 0 35.16
CHL Chile 66.5 15732.31377 98.55367279 111.82 17.62
CHN China 45.8 6807.430824 95.12447357 112.648 1357.38
COL Colombia 51.7 7831.215313 93.58053589 112.518 48.32
CRI Costa Rica 45.96 10184.60567 97.40658569 127.255 4.87
CZE Czech Republic 74.1104 19844.76165 0 142.037 10.52
DNK Denmark 94.6297 59831.69556 0 141.113 5.61
ECU Ecuador 40.35368423 6002.885459 93.29462433 115.102 15.74
EGY Egypt 49.56 3314.462928 73.86558533 96.39 82.06
EST Estonia 80.0043 18783.05871 99.86277771 152.837 1.32
ETH Ethiopia 1.9 505.0457458 38.99598312 0 94.1
FIN Finland 91.5144 49146.64663 0 120.989 5.44
FRA France 81.9198 42503.30359 0 125.835 66.03
DEU Germany 83.9614 46268.64107 0 104.969 80.62
GHA Ghana 12.3 1858.242598 71.49707794 61.075 25.9
GRC Greece 59.8663 21956.41154 97.36376953 103.436 11.03
HTI Haiti 10.6 819.9039143 0 0 10.32
HUN Hungary 72.6439 13480.91026 99.37355804 130.091 9.9
ISL Iceland 96.5468 47461.18559 0 170.482 0.32
IND India 15.1 1498.872175 0 78.126 1252.14
IDN Indonesia 15.82 3475.250474 92.81190491 103.47 249.87
IRL Ireland 78.2477 50503.4228 0 103.05 4.6
ISR Israel 70.8 36050.69793 97.76419067 132.134 8.06
ITA Italy 58.4593 35925.87748 99.02561188 142.269 59.83
JAM Jamaica 37.8 5289.967803 87.48201752 205.03 2.72
JPN Japan 86.25 38633.70806 0 90.22 127.34
HKJ Jordan 44.2 5214.197267 97.89031982 115.017 6.46
KAZ Kazakhstan 54 13609.75338 99.73241425 143.479 17.04
KEN Kenya 39 1245.512041 72.1570282 70.266 44.35
MWI Malawi 5.4 226.4551027 61.3097229 64.887 16.36
MYS Malaysia 66.97 10538.05789 93.11788177 119.531 29.72
RMM Mali 2.3 715.133813 33.56093979 42.571 15.3
MUS Mauritius 39 9202.517324 89.24983215 132.449 1.3
MEX Mexico 43.46 10307.28304 94.22840118 95.877 122.33
MAR Morocco 56 3092.606545 67.08415985 89.118 33.01
MOZ Mozambique 5.4 605.0341744 50.58381271 62.443 25.83
MMR Myanmar 1.2 1200 92.62518311 134.45 53.26
NAM Namibia 13.9 5693.129154 76.48659515 127.641 2.3
NPL Nepal 13.3 694.1047943 57.36910248 63.685 27.8
NLD Netherlands 93.9564 50793.14296 0 109.947 16.8
NZL New Zealand 82.78 41555.83441 0 146.15 4.47
WAN Nigeria 38 3005.513796 51.07765961 0 173.62
NOR Norway 95.0534 100818.5032 0 157.639 5.08
PAK Pakistan 10.9 1275.301817 54.73801804 95.472 182.14
PER Peru 39.2 6661.591112 93.84172821 109.368 30.38
PHL Philippines 37 2765.084587 95.42009735 123.837 98.39
POL Poland 62.8492 13647.9647 99.74762726 155.022 38.53
PRT Portugal 62.0956 21733.07306 94.47705078 119.754 10.46
QAT Qatar 85.3 93714.06338 96.6785965 676.162 2.17
KOR Republic Of Korea 84.77 25976.95283 0 74.951 50.22
RUS Russian Federation 61.4 14611.70078 99.68426514 125.969 143.5
RWA Rwanda 8.7 638.6657954 65.85227203 75.715 11.78
SAU Saudi Arabia 60.5 25961.80842 94.42634583 106.152 28.83
SEN Senegal 20.9 1046.586426 52.05195999 58.646 14.13
SLE Sierra Leone 1.7 678.9609045 44.46472931 0 6.09
SGP Singapore 73 55182.48279 96.36598206 0 5.4
ZAF South Africa 48.9 6617.911609 93.7294693 0 52.98
ESP Spain 71.5719 29863.17672 97.89453888 121.912 46.65
SWE Sweden 94.7836 60430.21558 0 155.356 9.59
CHE Switzerland 86.7 84815.40701 0 99.158 8.08
THA Thailand 28.94 5778.977216 96.4309082 134.064 67.01
TUN Tunisia 43.8 4316.685695 79.65390778 159.05 10.89
TUR Turkey 46.25 10971.65631 94.9197464 85.19 74.93
UGA Uganda 16.2 571.9600416 73.21188354 26.899 37.58
UKR Ukraine 41.8 3900.465376 99.73021698 114.983 45.49
ARE United Arab Emirates 88 43048.85015 0 0 9.35
GBR United Kingdom Of Great Britain And Northern Ireland 89.8441 41787.46798 0 135.569 64.1
TZA United Republic Of Tanzania 4.4 694.7711797 67.80069733 54.727 49.25
USA United States Of America 84.2 53041.98141 0 139.209 316.13
URY Uruguay 58.1 16350.72817 98.39594269 172.669 3.41
VEN Venezuela (Bolivarian Republic Of) 54.9 14414.75353 95.51199341 169.419 30.41
VNM Viet Nam 43.9 1910.512818 93.52045441 101.619 89.71
YEM Yemen 20 1473.099564 66.37377167 44.093 24.41
RNR Zambia 15.4 1844.799139 61.42828751 0 14.54
ZWE Zimbabwe 18.5 953.3806071 83.5827179 77.545 14.15
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