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Код Задачи Пакеты Проекты Релизы Вики Активность

Remove cruft.

This commit is contained in:
Mike Bostock 2012-12-19 15:40:31 -08:00
Родитель 688da4a820
Коммит 8728e24e4d
25 изменённых файлов: 0 добавлений и 7483 удалений
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301
examples/box/box.js
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@ -1,301 +0,0 @@
(function() {
// Inspired by http://informationandvisualization.de/blog/box-plot
d3.box = function() {
var width = 1,
height = 1,
duration = 0,
domain = null,
value = Number,
whiskers = boxWhiskers,
quartiles = boxQuartiles,
tickFormat = null;
// For each small multiple…
function box(g) {
g.each(function(d, i) {
d = d.map(value).sort(d3.ascending);
var g = d3.select(this),
n = d.length,
min = d[0],
max = d[n - 1];
// Compute quartiles. Must return exactly 3 elements.
var quartileData = d.quartiles = quartiles(d);
// Compute whiskers. Must return exactly 2 elements, or null.
var whiskerIndices = whiskers && whiskers.call(this, d, i),
whiskerData = whiskerIndices && whiskerIndices.map(function(i) { return d[i]; });
// Compute outliers. If no whiskers are specified, all data are "outliers".
// We compute the outliers as indices, so that we can join across transitions!
var outlierIndices = whiskerIndices
? d3.range(0, whiskerIndices[0]).concat(d3.range(whiskerIndices[1] + 1, n))
: d3.range(n);
// Compute the new x-scale.
var x1 = d3.scale.linear()
.domain(domain && domain.call(this, d, i) || [min, max])
.range([height, 0]);
// Retrieve the old x-scale, if this is an update.
var x0 = this.__chart__ || d3.scale.linear()
.domain([0, Infinity])
.range(x1.range());
// Stash the new scale.
this.__chart__ = x1;
// Note: the box, median, and box tick elements are fixed in number,
// so we only have to handle enter and update. In contrast, the outliers
// and other elements are variable, so we need to exit them! Variable
// elements also fade in and out.
// Update center line: the vertical line spanning the whiskers.
var center = g.selectAll("line.center")
.data(whiskerData ? [whiskerData] : []);
center.enter().insert("svg:line", "rect")
.attr("class", "center")
.attr("x1", width / 2)
.attr("y1", function(d) { return x0(d[0]); })
.attr("x2", width / 2)
.attr("y2", function(d) { return x0(d[1]); })
.style("opacity", 1e-6)
.transition()
.duration(duration)
.style("opacity", 1)
.attr("y1", function(d) { return x1(d[0]); })
.attr("y2", function(d) { return x1(d[1]); });
center.transition()
.duration(duration)
.style("opacity", 1)
.attr("y1", function(d) { return x1(d[0]); })
.attr("y2", function(d) { return x1(d[1]); });
center.exit().transition()
.duration(duration)
.style("opacity", 1e-6)
.attr("y1", function(d) { return x1(d[0]); })
.attr("y2", function(d) { return x1(d[1]); })
.remove();
// Update innerquartile box.
var box = g.selectAll("rect.box")
.data([quartileData]);
box.enter().append("svg:rect")
.attr("class", "box")
.attr("x", 0)
.attr("y", function(d) { return x0(d[2]); })
.attr("width", width)
.attr("height", function(d) { return x0(d[0]) - x0(d[2]); })
.transition()
.duration(duration)
.attr("y", function(d) { return x1(d[2]); })
.attr("height", function(d) { return x1(d[0]) - x1(d[2]); });
box.transition()
.duration(duration)
.attr("y", function(d) { return x1(d[2]); })
.attr("height", function(d) { return x1(d[0]) - x1(d[2]); });
// Update median line.
var medianLine = g.selectAll("line.median")
.data([quartileData[1]]);
medianLine.enter().append("svg:line")
.attr("class", "median")
.attr("x1", 0)
.attr("y1", x0)
.attr("x2", width)
.attr("y2", x0)
.transition()
.duration(duration)
.attr("y1", x1)
.attr("y2", x1);
medianLine.transition()
.duration(duration)
.attr("y1", x1)
.attr("y2", x1);
// Update whiskers.
var whisker = g.selectAll("line.whisker")
.data(whiskerData || []);
whisker.enter().insert("svg:line", "circle, text")
.attr("class", "whisker")
.attr("x1", 0)
.attr("y1", x0)
.attr("x2", width)
.attr("y2", x0)
.style("opacity", 1e-6)
.transition()
.duration(duration)
.attr("y1", x1)
.attr("y2", x1)
.style("opacity", 1);
whisker.transition()
.duration(duration)
.attr("y1", x1)
.attr("y2", x1)
.style("opacity", 1);
whisker.exit().transition()
.duration(duration)
.attr("y1", x1)
.attr("y2", x1)
.style("opacity", 1e-6)
.remove();
// Update outliers.
var outlier = g.selectAll("circle.outlier")
.data(outlierIndices, Number);
outlier.enter().insert("svg:circle", "text")
.attr("class", "outlier")
.attr("r", 5)
.attr("cx", width / 2)
.attr("cy", function(i) { return x0(d[i]); })
.style("opacity", 1e-6)
.transition()
.duration(duration)
.attr("cy", function(i) { return x1(d[i]); })
.style("opacity", 1);
outlier.transition()
.duration(duration)
.attr("cy", function(i) { return x1(d[i]); })
.style("opacity", 1);
outlier.exit().transition()
.duration(duration)
.attr("cy", function(i) { return x1(d[i]); })
.style("opacity", 1e-6)
.remove();
// Compute the tick format.
var format = tickFormat || x1.tickFormat(8);
// Update box ticks.
var boxTick = g.selectAll("text.box")
.data(quartileData);
boxTick.enter().append("svg:text")
.attr("class", "box")
.attr("dy", ".3em")
.attr("dx", function(d, i) { return i & 1 ? 6 : -6 })
.attr("x", function(d, i) { return i & 1 ? width : 0 })
.attr("y", x0)
.attr("text-anchor", function(d, i) { return i & 1 ? "start" : "end"; })
.text(format)
.transition()
.duration(duration)
.attr("y", x1);
boxTick.transition()
.duration(duration)
.text(format)
.attr("y", x1);
// Update whisker ticks. These are handled separately from the box
// ticks because they may or may not exist, and we want don't want
// to join box ticks pre-transition with whisker ticks post-.
var whiskerTick = g.selectAll("text.whisker")
.data(whiskerData || []);
whiskerTick.enter().append("svg:text")
.attr("class", "whisker")
.attr("dy", ".3em")
.attr("dx", 6)
.attr("x", width)
.attr("y", x0)
.text(format)
.style("opacity", 1e-6)
.transition()
.duration(duration)
.attr("y", x1)
.style("opacity", 1);
whiskerTick.transition()
.duration(duration)
.text(format)
.attr("y", x1)
.style("opacity", 1);
whiskerTick.exit().transition()
.duration(duration)
.attr("y", x1)
.style("opacity", 1e-6)
.remove();
});
d3.timer.flush();
}
box.width = function(x) {
if (!arguments.length) return width;
width = x;
return box;
};
box.height = function(x) {
if (!arguments.length) return height;
height = x;
return box;
};
box.tickFormat = function(x) {
if (!arguments.length) return tickFormat;
tickFormat = x;
return box;
};
box.duration = function(x) {
if (!arguments.length) return duration;
duration = x;
return box;
};
box.domain = function(x) {
if (!arguments.length) return domain;
domain = x == null ? x : d3.functor(x);
return box;
};
box.value = function(x) {
if (!arguments.length) return value;
value = x;
return box;
};
box.whiskers = function(x) {
if (!arguments.length) return whiskers;
whiskers = x;
return box;
};
box.quartiles = function(x) {
if (!arguments.length) return quartiles;
quartiles = x;
return box;
};
return box;
};
function boxWhiskers(d) {
return [0, d.length - 1];
}
function boxQuartiles(d) {
return [
d3.quantile(d, .25),
d3.quantile(d, .5),
d3.quantile(d, .75)
];
}
})();

49
examples/bundle/packages.js
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(function() {
packages = {
// Lazily construct the package hierarchy from class names.
root: function(classes) {
var map = {};
function find(name, data) {
var node = map[name], i;
if (!node) {
node = map[name] = data || {name: name, children: []};
if (name.length) {
node.parent = find(name.substring(0, i = name.lastIndexOf(".")));
node.parent.children.push(node);
node.key = name.substring(i + 1);
}
}
return node;
}
classes.forEach(function(d) {
find(d.name, d);
});
return map[""];
},
// Return a list of imports for the given array of nodes.
imports: function(nodes) {
var map = {},
imports = [];
// Compute a map from name to node.
nodes.forEach(function(d) {
map[d.name] = d;
});
// For each import, construct a link from the source to target node.
nodes.forEach(function(d) {
if (d.imports) d.imports.forEach(function(i) {
imports.push({source: map[d.name], target: map[i]});
});
});
return imports;
}
};
})();

35
examples/button.css
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button {
font: 14px Helvetica Neue;
background-color: #222;
background-image: -moz-linear-gradient(top, rgba(255,255,255,.25), rgba(255,255,255,.11));
background-image: -webkit-gradient(linear,left top,left bottom,color-stop(0, rgba(255,255,255,.25)),color-stop(1, rgba(255,255,255,.11)));
background-image: -webkit-linear-gradient(rgba(255,255,255,.25), rgba(255,255,255,.11));
color: #fff;
text-rendering: optimizeLegibility;
text-shadow: 0 -1px 1px #222;
padding: 6px 10px 6px 10px;
border: 0;
border-radius: 0;
border-bottom: 1px solid #222;
margin: 0;
-moz-box-shadow: 0 1px 3px #999;
-webkit-box-shadow: 0 1px 3px #999;
}
button.first {
border-top-left-radius: 5px;
border-bottom-left-radius: 5px;
}
button.last {
border-top-right-radius: 5px;
border-bottom-right-radius: 5px;
}
button.active {
background-color: rgb(65,102,133);
}
button:hover {
background-color: steelblue;
}

24
examples/crimea/crimea.csv
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@ -1,24 +0,0 @@
date,wounds,other,disease
5/1854,0,95,105
6/1854,0,40,95
7/1854,0,140,520
8/1854,20,150,800
9/1854,220,230,740
10/1854,305,310,600
11/1854,480,290,820
12/1854,295,310,1100
1/1855,230,460,1440
2/1855,180,520,1270
3/1855,155,350,935
4/1855,195,195,560
5/1855,180,155,550
6/1855,330,130,650
7/1855,260,130,430
8/1855,290,110,490
9/1855,355,100,290
10/1855,135,95,245
11/1855,100,140,325
12/1855,40,120,215
1/1856,0,160,160
2/1856,0,100,100
3/1856,0,125,90
1 date wounds other disease
2 5/1854 0 95 105
3 6/1854 0 40 95
4 7/1854 0 140 520
5 8/1854 20 150 800
6 9/1854 220 230 740
7 10/1854 305 310 600
8 11/1854 480 290 820
9 12/1854 295 310 1100
10 1/1855 230 460 1440
11 2/1855 180 520 1270
12 3/1855 155 350 935
13 4/1855 195 195 560
14 5/1855 180 155 550
15 6/1855 330 130 650
16 7/1855 260 130 430
17 8/1855 290 110 490
18 9/1855 355 100 290
19 10/1855 135 95 245
20 11/1855 100 140 325
21 12/1855 40 120 215
22 1/1856 0 160 160
23 2/1856 0 100 100
24 3/1856 0 125 90

13
examples/data/README.md
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## World Boundaries
These are derived from the public domain [Natural Earth](http://www.naturalearthdata.com/downloads/) cultural vector files, 110m resolution. Then, ogr2ogr was used to convert to GeoJSON. Lastly, the data was cleaned up slightly, removing extra properties and a degenerate edge from Antarctica.
collection.features.forEach(function(d, i) {
d.id = d.properties.ISO_A3;
d.properties = {name: d.properties.SOVEREIGNT};
});
## United States Boundaries
These are derived from the cartographic boundary files from the 2000 [U.S. Census](http://www.census.gov/geo/www/cob/bdy_files.html
). Then, MapShaper was used to simplify the geometry, and ogr2ogr to convert the shapefiles to GeoJSON. Some additional work was done to preserve the FIPS codes, which are dropped from the shapefiles by MapShaper.

8
examples/data/faithful.json
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[
79, 54, 74, 62, 85, 55, 88, 85, 51, 85, 54, 84, 78, 47, 83, 52, 62, 84, 52, 79, 51, 47, 78, 69, 74, 83, 55, 76, 78, 79, 73, 77, 66, 80, 74, 52, 48, 80, 59, 90, 80, 58, 84, 58, 73, 83, 64, 53,
82, 59, 75, 90, 54, 80, 54, 83, 71, 64, 77, 81, 59, 84, 48, 82, 60, 92, 78, 78, 65, 73, 82, 56, 79, 71, 62, 76, 60, 78, 76, 83, 75, 82, 70, 65, 73, 88, 76, 80, 48, 86, 60, 90, 50, 78, 63, 72,
84, 75, 51, 82, 62, 88, 49, 83, 81, 47, 84, 52, 86, 81, 75, 59, 89, 79, 59, 81, 50, 85, 59, 87, 53, 69, 77, 56, 88, 81, 45, 82, 55, 90, 45, 83, 56, 89, 46, 82, 51, 86, 53, 79, 81, 60, 82, 77,
76, 59, 80, 49, 96, 53, 77, 77, 65, 81, 71, 70, 81, 93, 53, 89, 45, 86, 58, 78, 66, 76, 63, 88, 52, 93, 49, 57, 77, 68, 81, 81, 73, 50, 85, 74, 55, 77, 83, 83, 51, 78, 84, 46, 83, 55, 81, 57,
76, 84, 77, 81, 87, 77, 51, 78, 60, 82, 91, 53, 78, 46, 77, 84, 49, 83, 71, 80, 49, 75, 64, 76, 53, 94, 55, 76, 50, 82, 54, 75, 78, 79, 78, 78, 70, 79, 70, 54, 86, 50, 90, 54, 54, 77, 79, 64,
75, 47, 86, 63, 85, 82, 57, 82, 67, 74, 54, 83, 73, 73, 88, 80, 71, 83, 56, 79, 78, 84, 58, 83, 43, 60, 75, 81, 46, 90, 46, 74
]

222
examples/data/flare-imports.json
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@ -1,222 +0,0 @@
[
{"name":"flare.analytics.cluster.AgglomerativeCluster","size":3938,"imports":["flare.animate.Transitioner","flare.vis.data.DataList","flare.util.math.IMatrix","flare.analytics.cluster.MergeEdge","flare.analytics.cluster.HierarchicalCluster","flare.vis.data.Data"]},
{"name":"flare.analytics.cluster.CommunityStructure","size":3812,"imports":["flare.analytics.cluster.HierarchicalCluster","flare.animate.Transitioner","flare.vis.data.DataList","flare.analytics.cluster.MergeEdge","flare.util.math.IMatrix"]},
{"name":"flare.analytics.cluster.HierarchicalCluster","size":6714,"imports":["flare.vis.data.EdgeSprite","flare.vis.data.NodeSprite","flare.vis.data.DataList","flare.vis.data.Tree","flare.util.Arrays","flare.analytics.cluster.MergeEdge","flare.util.Sort","flare.vis.operator.Operator","flare.util.Property","flare.vis.data.Data"]},
{"name":"flare.analytics.cluster.MergeEdge","size":743,"imports":[]},
{"name":"flare.analytics.graph.BetweennessCentrality","size":3534,"imports":["flare.animate.Transitioner","flare.vis.data.NodeSprite","flare.vis.data.DataList","flare.util.Arrays","flare.vis.data.Data","flare.util.Property","flare.vis.operator.Operator"]},
{"name":"flare.analytics.graph.LinkDistance","size":5731,"imports":["flare.animate.Transitioner","flare.vis.data.NodeSprite","flare.vis.data.EdgeSprite","flare.analytics.graph.ShortestPaths","flare.vis.data.Data","flare.util.Property","flare.vis.operator.Operator"]},
{"name":"flare.analytics.graph.MaxFlowMinCut","size":7840,"imports":["flare.animate.Transitioner","flare.vis.data.NodeSprite","flare.vis.data.EdgeSprite","flare.vis.data.Data","flare.util.Property","flare.vis.operator.Operator"]},
{"name":"flare.analytics.graph.ShortestPaths","size":5914,"imports":["flare.vis.data.EdgeSprite","flare.vis.data.NodeSprite","flare.animate.Transitioner","flare.vis.operator.Operator","flare.util.heap.HeapNode","flare.util.heap.FibonacciHeap","flare.util.Property","flare.vis.data.Data"]},
{"name":"flare.analytics.graph.SpanningTree","size":3416,"imports":["flare.animate.Transitioner","flare.vis.data.NodeSprite","flare.vis.operator.IOperator","flare.vis.Visualization","flare.vis.data.TreeBuilder","flare.vis.operator.Operator"]},
{"name":"flare.analytics.optimization.AspectRatioBanker","size":7074,"imports":["flare.animate.Transitioner","flare.util.Arrays","flare.vis.data.DataSprite","flare.scale.Scale","flare.vis.axis.CartesianAxes","flare.vis.Visualization","flare.util.Property","flare.vis.operator.Operator"]},
{"name":"flare.animate.Easing","size":17010,"imports":["flare.animate.Transition"]},
{"name":"flare.animate.FunctionSequence","size":5842,"imports":["flare.util.Maths","flare.animate.Transition","flare.util.Arrays","flare.animate.Sequence","flare.animate.Transitioner"]},
{"name":"flare.animate.interpolate.ArrayInterpolator","size":1983,"imports":["flare.util.Arrays","flare.animate.interpolate.Interpolator"]},
{"name":"flare.animate.interpolate.ColorInterpolator","size":2047,"imports":["flare.animate.interpolate.Interpolator"]},
{"name":"flare.animate.interpolate.DateInterpolator","size":1375,"imports":["flare.animate.interpolate.Interpolator"]},
{"name":"flare.animate.interpolate.Interpolator","size":8746,"imports":["flare.animate.interpolate.NumberInterpolator","flare.animate.interpolate.ColorInterpolator","flare.animate.interpolate.PointInterpolator","flare.animate.interpolate.ObjectInterpolator","flare.animate.interpolate.MatrixInterpolator","flare.animate.interpolate.RectangleInterpolator","flare.animate.interpolate.DateInterpolator","flare.util.Property","flare.animate.interpolate.ArrayInterpolator"]},
{"name":"flare.animate.interpolate.MatrixInterpolator","size":2202,"imports":["flare.animate.interpolate.Interpolator"]},
{"name":"flare.animate.interpolate.NumberInterpolator","size":1382,"imports":["flare.animate.interpolate.Interpolator"]},
{"name":"flare.animate.interpolate.ObjectInterpolator","size":1629,"imports":["flare.animate.interpolate.Interpolator"]},
{"name":"flare.animate.interpolate.PointInterpolator","size":1675,"imports":["flare.animate.interpolate.Interpolator"]},
{"name":"flare.animate.interpolate.RectangleInterpolator","size":2042,"imports":["flare.animate.interpolate.Interpolator"]},
{"name":"flare.animate.ISchedulable","size":1041,"imports":["flare.animate.Scheduler"]},
{"name":"flare.animate.Parallel","size":5176,"imports":["flare.animate.Easing","flare.animate.Transition","flare.util.Arrays"]},
{"name":"flare.animate.Pause","size":449,"imports":["flare.animate.Transition"]},
{"name":"flare.animate.Scheduler","size":5593,"imports":["flare.animate.ISchedulable","flare.animate.Pause","flare.animate.Transition"]},
{"name":"flare.animate.Sequence","size":5534,"imports":["flare.animate.Easing","flare.util.Maths","flare.animate.Transition","flare.util.Arrays"]},
{"name":"flare.animate.Transition","size":9201,"imports":["flare.animate.Transitioner","flare.animate.TransitionEvent","flare.animate.Scheduler","flare.animate.Pause","flare.animate.Parallel","flare.animate.Easing","flare.animate.Sequence","flare.animate.ISchedulable","flare.util.Maths","flare.animate.Tween"]},
{"name":"flare.animate.Transitioner","size":19975,"imports":["flare.util.IValueProxy","flare.animate.Parallel","flare.animate.Easing","flare.animate.Sequence","flare.animate.Transition","flare.animate.Tween","flare.util.Property"]},
{"name":"flare.animate.TransitionEvent","size":1116,"imports":["flare.animate.Transition"]},
{"name":"flare.animate.Tween","size":6006,"imports":["flare.animate.Transitioner","flare.animate.Transition","flare.animate.interpolate.Interpolator","flare.util.Property"]},
{"name":"flare.data.converters.Converters","size":721,"imports":["flare.data.converters.IDataConverter","flare.data.converters.GraphMLConverter","flare.data.converters.JSONConverter","flare.data.converters.DelimitedTextConverter"]},
{"name":"flare.data.converters.DelimitedTextConverter","size":4294,"imports":["flare.data.DataSet","flare.data.DataUtil","flare.data.DataTable","flare.data.converters.IDataConverter","flare.data.DataSchema","flare.data.DataField"]},
{"name":"flare.data.converters.GraphMLConverter","size":9800,"imports":["flare.data.DataSet","flare.data.DataUtil","flare.data.DataTable","flare.data.converters.IDataConverter","flare.data.DataSchema","flare.data.DataField"]},
{"name":"flare.data.converters.IDataConverter","size":1314,"imports":["flare.data.DataSet","flare.data.DataSchema"]},
{"name":"flare.data.converters.JSONConverter","size":2220,"imports":["flare.data.DataSet","flare.data.DataUtil","flare.data.DataTable","flare.data.converters.IDataConverter","flare.data.DataSchema","flare.data.DataField","flare.util.Property"]},
{"name":"flare.data.DataField","size":1759,"imports":["flare.data.DataUtil"]},
{"name":"flare.data.DataSchema","size":2165,"imports":["flare.data.DataField","flare.util.Arrays"]},
{"name":"flare.data.DataSet","size":586,"imports":["flare.data.DataTable"]},
{"name":"flare.data.DataSource","size":3331,"imports":["flare.data.converters.IDataConverter","flare.data.converters.Converters","flare.data.DataSchema"]},
{"name":"flare.data.DataTable","size":772,"imports":["flare.data.DataSchema"]},
{"name":"flare.data.DataUtil","size":3322,"imports":["flare.data.DataField","flare.data.DataSchema"]},
{"name":"flare.display.DirtySprite","size":8833,"imports":[]},
{"name":"flare.display.LineSprite","size":1732,"imports":["flare.display.DirtySprite"]},
{"name":"flare.display.RectSprite","size":3623,"imports":["flare.util.Colors","flare.display.DirtySprite"]},
{"name":"flare.display.TextSprite","size":10066,"imports":["flare.display.DirtySprite"]},
{"name":"flare.flex.FlareVis","size":4116,"imports":["flare.display.DirtySprite","flare.data.DataSet","flare.vis.Visualization","flare.vis.axis.CartesianAxes","flare.vis.axis.Axes","flare.vis.data.Data"]},
{"name":"flare.physics.DragForce","size":1082,"imports":["flare.physics.Simulation","flare.physics.Particle","flare.physics.IForce"]},
{"name":"flare.physics.GravityForce","size":1336,"imports":["flare.physics.Simulation","flare.physics.Particle","flare.physics.IForce"]},
{"name":"flare.physics.IForce","size":319,"imports":["flare.physics.Simulation"]},
{"name":"flare.physics.NBodyForce","size":10498,"imports":["flare.physics.Simulation","flare.physics.Particle","flare.physics.IForce"]},
{"name":"flare.physics.Particle","size":2822,"imports":[]},
{"name":"flare.physics.Simulation","size":9983,"imports":["flare.physics.Particle","flare.physics.NBodyForce","flare.physics.DragForce","flare.physics.GravityForce","flare.physics.Spring","flare.physics.SpringForce","flare.physics.IForce"]},
{"name":"flare.physics.Spring","size":2213,"imports":["flare.physics.Particle"]},
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{"name":"flare.vis.operator.SortOperator","size":2023,"imports":["flare.vis.operator.Operator","flare.animate.Transitioner","flare.util.Arrays","flare.vis.data.Data"]},
{"name":"flare.vis.Visualization","size":16540,"imports":["flare.animate.Transitioner","flare.vis.operator.IOperator","flare.animate.Scheduler","flare.vis.events.VisualizationEvent","flare.vis.data.Tree","flare.vis.events.DataEvent","flare.vis.axis.Axes","flare.vis.axis.CartesianAxes","flare.util.Displays","flare.vis.operator.OperatorList","flare.vis.controls.ControlList","flare.animate.ISchedulable","flare.vis.data.Data"]}
]

380
examples/data/flare.json
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@ -1,380 +0,0 @@
{
"name": "flare",
"children": [
{
"name": "analytics",
"children": [
{
"name": "cluster",
"children": [
{"name": "AgglomerativeCluster", "size": 3938},
{"name": "CommunityStructure", "size": 3812},
{"name": "HierarchicalCluster", "size": 6714},
{"name": "MergeEdge", "size": 743}
]
},
{
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"children": [
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{"name": "LinkDistance", "size": 5731},
{"name": "MaxFlowMinCut", "size": 7840},
{"name": "ShortestPaths", "size": 5914},
{"name": "SpanningTree", "size": 3416}
]
},
{
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"children": [
{"name": "AspectRatioBanker", "size": 7074}
]
}
]
},
{
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{"name": "Easing", "size": 17010},
{"name": "FunctionSequence", "size": 5842},
{
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"children": [
{"name": "ArrayInterpolator", "size": 1983},
{"name": "ColorInterpolator", "size": 2047},
{"name": "DateInterpolator", "size": 1375},
{"name": "Interpolator", "size": 8746},
{"name": "MatrixInterpolator", "size": 2202},
{"name": "NumberInterpolator", "size": 1382},
{"name": "ObjectInterpolator", "size": 1629},
{"name": "PointInterpolator", "size": 1675},
{"name": "RectangleInterpolator", "size": 2042}
]
},
{"name": "ISchedulable", "size": 1041},
{"name": "Parallel", "size": 5176},
{"name": "Pause", "size": 449},
{"name": "Scheduler", "size": 5593},
{"name": "Sequence", "size": 5534},
{"name": "Transition", "size": 9201},
{"name": "Transitioner", "size": 19975},
{"name": "TransitionEvent", "size": 1116},
{"name": "Tween", "size": 6006}
]
},
{
"name": "data",
"children": [
{
"name": "converters",
"children": [
{"name": "Converters", "size": 721},
{"name": "DelimitedTextConverter", "size": 4294},
{"name": "GraphMLConverter", "size": 9800},
{"name": "IDataConverter", "size": 1314},
{"name": "JSONConverter", "size": 2220}
]
},
{"name": "DataField", "size": 1759},
{"name": "DataSchema", "size": 2165},
{"name": "DataSet", "size": 586},
{"name": "DataSource", "size": 3331},
{"name": "DataTable", "size": 772},
{"name": "DataUtil", "size": 3322}
]
},
{
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{"name": "LineSprite", "size": 1732},
{"name": "RectSprite", "size": 3623},
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]
},
{
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]
},
{
"name": "physics",
"children": [
{"name": "DragForce", "size": 1082},
{"name": "GravityForce", "size": 1336},
{"name": "IForce", "size": 319},
{"name": "NBodyForce", "size": 10498},
{"name": "Particle", "size": 2822},
{"name": "Simulation", "size": 9983},
{"name": "Spring", "size": 2213},
{"name": "SpringForce", "size": 1681}
]
},
{
"name": "query",
"children": [
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{"name": "And", "size": 1027},
{"name": "Arithmetic", "size": 3891},
{"name": "Average", "size": 891},
{"name": "BinaryExpression", "size": 2893},
{"name": "Comparison", "size": 5103},
{"name": "CompositeExpression", "size": 3677},
{"name": "Count", "size": 781},
{"name": "DateUtil", "size": 4141},
{"name": "Distinct", "size": 933},
{"name": "Expression", "size": 5130},
{"name": "ExpressionIterator", "size": 3617},
{"name": "Fn", "size": 3240},
{"name": "If", "size": 2732},
{"name": "IsA", "size": 2039},
{"name": "Literal", "size": 1214},
{"name": "Match", "size": 3748},
{"name": "Maximum", "size": 843},
{
"name": "methods",
"children": [
{"name": "add", "size": 593},
{"name": "and", "size": 330},
{"name": "average", "size": 287},
{"name": "count", "size": 277},
{"name": "distinct", "size": 292},
{"name": "div", "size": 595},
{"name": "eq", "size": 594},
{"name": "fn", "size": 460},
{"name": "gt", "size": 603},
{"name": "gte", "size": 625},
{"name": "iff", "size": 748},
{"name": "isa", "size": 461},
{"name": "lt", "size": 597},
{"name": "lte", "size": 619},
{"name": "max", "size": 283},
{"name": "min", "size": 283},
{"name": "mod", "size": 591},
{"name": "mul", "size": 603},
{"name": "neq", "size": 599},
{"name": "not", "size": 386},
{"name": "or", "size": 323},
{"name": "orderby", "size": 307},
{"name": "range", "size": 772},
{"name": "select", "size": 296},
{"name": "stddev", "size": 363},
{"name": "sub", "size": 600},
{"name": "sum", "size": 280},
{"name": "update", "size": 307},
{"name": "variance", "size": 335},
{"name": "where", "size": 299},
{"name": "xor", "size": 354},
{"name": "_", "size": 264}
]
},
{"name": "Minimum", "size": 843},
{"name": "Not", "size": 1554},
{"name": "Or", "size": 970},
{"name": "Query", "size": 13896},
{"name": "Range", "size": 1594},
{"name": "StringUtil", "size": 4130},
{"name": "Sum", "size": 791},
{"name": "Variable", "size": 1124},
{"name": "Variance", "size": 1876},
{"name": "Xor", "size": 1101}
]
},
{
"name": "scale",
"children": [
{"name": "IScaleMap", "size": 2105},
{"name": "LinearScale", "size": 1316},
{"name": "LogScale", "size": 3151},
{"name": "OrdinalScale", "size": 3770},
{"name": "QuantileScale", "size": 2435},
{"name": "QuantitativeScale", "size": 4839},
{"name": "RootScale", "size": 1756},
{"name": "Scale", "size": 4268},
{"name": "ScaleType", "size": 1821},
{"name": "TimeScale", "size": 5833}
]
},
{
"name": "util",
"children": [
{"name": "Arrays", "size": 8258},
{"name": "Colors", "size": 10001},
{"name": "Dates", "size": 8217},
{"name": "Displays", "size": 12555},
{"name": "Filter", "size": 2324},
{"name": "Geometry", "size": 10993},
{
"name": "heap",
"children": [
{"name": "FibonacciHeap", "size": 9354},
{"name": "HeapNode", "size": 1233}
]
},
{"name": "IEvaluable", "size": 335},
{"name": "IPredicate", "size": 383},
{"name": "IValueProxy", "size": 874},
{
"name": "math",
"children": [
{"name": "DenseMatrix", "size": 3165},
{"name": "IMatrix", "size": 2815},
{"name": "SparseMatrix", "size": 3366}
]
},
{"name": "Maths", "size": 17705},
{"name": "Orientation", "size": 1486},
{
"name": "palette",
"children": [
{"name": "ColorPalette", "size": 6367},
{"name": "Palette", "size": 1229},
{"name": "ShapePalette", "size": 2059},
{"name": "SizePalette", "size": 2291}
]
},
{"name": "Property", "size": 5559},
{"name": "Shapes", "size": 19118},
{"name": "Sort", "size": 6887},
{"name": "Stats", "size": 6557},
{"name": "Strings", "size": 22026}
]
},
{
"name": "vis",
"children": [
{
"name": "axis",
"children": [
{"name": "Axes", "size": 1302},
{"name": "Axis", "size": 24593},
{"name": "AxisGridLine", "size": 652},
{"name": "AxisLabel", "size": 636},
{"name": "CartesianAxes", "size": 6703}
]
},
{
"name": "controls",
"children": [
{"name": "AnchorControl", "size": 2138},
{"name": "ClickControl", "size": 3824},
{"name": "Control", "size": 1353},
{"name": "ControlList", "size": 4665},
{"name": "DragControl", "size": 2649},
{"name": "ExpandControl", "size": 2832},
{"name": "HoverControl", "size": 4896},
{"name": "IControl", "size": 763},
{"name": "PanZoomControl", "size": 5222},
{"name": "SelectionControl", "size": 7862},
{"name": "TooltipControl", "size": 8435}
]
},
{
"name": "data",
"children": [
{"name": "Data", "size": 20544},
{"name": "DataList", "size": 19788},
{"name": "DataSprite", "size": 10349},
{"name": "EdgeSprite", "size": 3301},
{"name": "NodeSprite", "size": 19382},
{
"name": "render",
"children": [
{"name": "ArrowType", "size": 698},
{"name": "EdgeRenderer", "size": 5569},
{"name": "IRenderer", "size": 353},
{"name": "ShapeRenderer", "size": 2247}
]
},
{"name": "ScaleBinding", "size": 11275},
{"name": "Tree", "size": 7147},
{"name": "TreeBuilder", "size": 9930}
]
},
{
"name": "events",
"children": [
{"name": "DataEvent", "size": 2313},
{"name": "SelectionEvent", "size": 1880},
{"name": "TooltipEvent", "size": 1701},
{"name": "VisualizationEvent", "size": 1117}
]
},
{
"name": "legend",
"children": [
{"name": "Legend", "size": 20859},
{"name": "LegendItem", "size": 4614},
{"name": "LegendRange", "size": 10530}
]
},
{
"name": "operator",
"children": [
{
"name": "distortion",
"children": [
{"name": "BifocalDistortion", "size": 4461},
{"name": "Distortion", "size": 6314},
{"name": "FisheyeDistortion", "size": 3444}
]
},
{
"name": "encoder",
"children": [
{"name": "ColorEncoder", "size": 3179},
{"name": "Encoder", "size": 4060},
{"name": "PropertyEncoder", "size": 4138},
{"name": "ShapeEncoder", "size": 1690},
{"name": "SizeEncoder", "size": 1830}
]
},
{
"name": "filter",
"children": [
{"name": "FisheyeTreeFilter", "size": 5219},
{"name": "GraphDistanceFilter", "size": 3165},
{"name": "VisibilityFilter", "size": 3509}
]
},
{"name": "IOperator", "size": 1286},
{
"name": "label",
"children": [
{"name": "Labeler", "size": 9956},
{"name": "RadialLabeler", "size": 3899},
{"name": "StackedAreaLabeler", "size": 3202}
]
},
{
"name": "layout",
"children": [
{"name": "AxisLayout", "size": 6725},
{"name": "BundledEdgeRouter", "size": 3727},
{"name": "CircleLayout", "size": 9317},
{"name": "CirclePackingLayout", "size": 12003},
{"name": "DendrogramLayout", "size": 4853},
{"name": "ForceDirectedLayout", "size": 8411},
{"name": "IcicleTreeLayout", "size": 4864},
{"name": "IndentedTreeLayout", "size": 3174},
{"name": "Layout", "size": 7881},
{"name": "NodeLinkTreeLayout", "size": 12870},
{"name": "PieLayout", "size": 2728},
{"name": "RadialTreeLayout", "size": 12348},
{"name": "RandomLayout", "size": 870},
{"name": "StackedAreaLayout", "size": 9121},
{"name": "TreeMapLayout", "size": 9191}
]
},
{"name": "Operator", "size": 2490},
{"name": "OperatorList", "size": 5248},
{"name": "OperatorSequence", "size": 4190},
{"name": "OperatorSwitch", "size": 2581},
{"name": "SortOperator", "size": 2023}
]
},
{"name": "Visualization", "size": 16540}
]
}
]
}

101
examples/data/morley.csv
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@ -1,101 +0,0 @@
Expt,Run,Speed
1,1,850
1,2,740
1,3,900
1,4,1070
1,5,930
1,6,850
1,7,950
1,8,980
1,9,980
1,10,880
1,11,1000
1,12,980
1,13,930
1,14,650
1,15,760
1,16,810
1,17,1000
1,18,1000
1,19,960
1,20,960
2,1,960
2,2,940
2,3,960
2,4,940
2,5,880
2,6,800
2,7,850
2,8,880
2,9,900
2,10,840
2,11,830
2,12,790
2,13,810
2,14,880
2,15,880
2,16,830
2,17,800
2,18,790
2,19,760
2,20,800
3,1,880
3,2,880
3,3,880
3,4,860
3,5,720
3,6,720
3,7,620
3,8,860
3,9,970
3,10,950
3,11,880
3,12,910
3,13,850
3,14,870
3,15,840
3,16,840
3,17,850
3,18,840
3,19,840
3,20,840
4,1,890
4,2,810
4,3,810
4,4,820
4,5,800
4,6,770
4,7,760
4,8,740
4,9,750
4,10,760
4,11,910
4,12,920
4,13,890
4,14,860
4,15,880
4,16,720
4,17,840
4,18,850
4,19,850
4,20,780
5,1,890
5,2,840
5,3,780
5,4,810
5,5,760
5,6,810
5,7,790
5,8,810
5,9,820
5,10,850
5,11,870
5,12,870
5,13,810
5,14,740
5,15,810
5,16,940
5,17,950
5,18,800
5,19,810
5,20,870
1 Expt Run Speed
2 1 1 850
3 1 2 740
4 1 3 900
5 1 4 1070
6 1 5 930
7 1 6 850
8 1 7 950
9 1 8 980
10 1 9 980
11 1 10 880
12 1 11 1000
13 1 12 980
14 1 13 930
15 1 14 650
16 1 15 760
17 1 16 810
18 1 17 1000
19 1 18 1000
20 1 19 960
21 1 20 960
22 2 1 960
23 2 2 940
24 2 3 960
25 2 4 940
26 2 5 880
27 2 6 800
28 2 7 850
29 2 8 880
30 2 9 900
31 2 10 840
32 2 11 830
33 2 12 790
34 2 13 810
35 2 14 880
36 2 15 880
37 2 16 830
38 2 17 800
39 2 18 790
40 2 19 760
41 2 20 800
42 3 1 880
43 3 2 880
44 3 3 880
45 3 4 860
46 3 5 720
47 3 6 720
48 3 7 620
49 3 8 860
50 3 9 970
51 3 10 950
52 3 11 880
53 3 12 910
54 3 13 850
55 3 14 870
56 3 15 840
57 3 16 840
58 3 17 850
59 3 18 840
60 3 19 840
61 3 20 840
62 4 1 890
63 4 2 810
64 4 3 810
65 4 4 820
66 4 5 800
67 4 6 770
68 4 7 760
69 4 8 740
70 4 9 750
71 4 10 760
72 4 11 910
73 4 12 920
74 4 13 890
75 4 14 860
76 4 15 880
77 4 16 720
78 4 17 840
79 4 18 850
80 4 19 850
81 4 20 780
82 5 1 890
83 5 2 840
84 5 3 780
85 5 4 810
86 5 5 760
87 5 6 810
88 5 7 790
89 5 8 810
90 5 9 820
91 5 10 850
92 5 11 870
93 5 12 870
94 5 13 810
95 5 14 740
96 5 15 810
97 5 16 940
98 5 17 950
99 5 18 800
100 5 19 810
101 5 20 870

2
examples/data/sample.csv
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@ -1,2 +0,0 @@
Hello,World
42,"""fish"""
1 Hello World
2 42 "fish"

1
examples/data/sample.json
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@ -1 +0,0 @@
[{"Hello":42,"World":"\"fish\""}]

2
examples/data/sample.tsv
Просмотреть файл

@ -1,2 +0,0 @@
Hello World
42 """fish"""
1 Hello World
2 42 "fish"

1
examples/data/sample.txt
Просмотреть файл

@ -1 +0,0 @@
Hello, world!

4
examples/data/sample.xml
Просмотреть файл

@ -1,4 +0,0 @@
<?xml version="1.0" encoding="UTF-8" ?>
<hello>
<world name="Earth"/>
</hello>

807
examples/data/stocks.csv
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@ -1,807 +0,0 @@
symbol,date,price
S&P 500,Jan 2000,1394.46
S&P 500,Feb 2000,1366.42
S&P 500,Mar 2000,1498.58
S&P 500,Apr 2000,1452.43
S&P 500,May 2000,1420.6
S&P 500,Jun 2000,1454.6
S&P 500,Jul 2000,1430.83
S&P 500,Aug 2000,1517.68
S&P 500,Sep 2000,1436.51
S&P 500,Oct 2000,1429.4
S&P 500,Nov 2000,1314.95
S&P 500,Dec 2000,1320.28
S&P 500,Jan 2001,1366.01
S&P 500,Feb 2001,1239.94
S&P 500,Mar 2001,1160.33
S&P 500,Apr 2001,1249.46
S&P 500,May 2001,1255.82
S&P 500,Jun 2001,1224.38
S&P 500,Jul 2001,1211.23
S&P 500,Aug 2001,1133.58
S&P 500,Sep 2001,1040.94
S&P 500,Oct 2001,1059.78
S&P 500,Nov 2001,1139.45
S&P 500,Dec 2001,1148.08
S&P 500,Jan 2002,1130.2
S&P 500,Feb 2002,1106.73
S&P 500,Mar 2002,1147.39
S&P 500,Apr 2002,1076.92
S&P 500,May 2002,1067.14
S&P 500,Jun 2002,989.82
S&P 500,Jul 2002,911.62
S&P 500,Aug 2002,916.07
S&P 500,Sep 2002,815.28
S&P 500,Oct 2002,885.76
S&P 500,Nov 2002,936.31
S&P 500,Dec 2002,879.82
S&P 500,Jan 2003,855.7
S&P 500,Feb 2003,841.15
S&P 500,Mar 2003,848.18
S&P 500,Apr 2003,916.92
S&P 500,May 2003,963.59
S&P 500,Jun 2003,974.5
S&P 500,Jul 2003,990.31
S&P 500,Aug 2003,1008.01
S&P 500,Sep 2003,995.97
S&P 500,Oct 2003,1050.71
S&P 500,Nov 2003,1058.2
S&P 500,Dec 2003,1111.92
S&P 500,Jan 2004,1131.13
S&P 500,Feb 2004,1144.94
S&P 500,Mar 2004,1126.21
S&P 500,Apr 2004,1107.3
S&P 500,May 2004,1120.68
S&P 500,Jun 2004,1140.84
S&P 500,Jul 2004,1101.72
S&P 500,Aug 2004,1104.24
S&P 500,Sep 2004,1114.58
S&P 500,Oct 2004,1130.2
S&P 500,Nov 2004,1173.82
S&P 500,Dec 2004,1211.92
S&P 500,Jan 2005,1181.27
S&P 500,Feb 2005,1203.6
S&P 500,Mar 2005,1180.59
S&P 500,Apr 2005,1156.85
S&P 500,May 2005,1191.5
S&P 500,Jun 2005,1191.33
S&P 500,Jul 2005,1234.18
S&P 500,Aug 2005,1220.33
S&P 500,Sep 2005,1228.81
S&P 500,Oct 2005,1207.01
S&P 500,Nov 2005,1249.48
S&P 500,Dec 2005,1248.29
S&P 500,Jan 2006,1280.08
S&P 500,Feb 2006,1280.66
S&P 500,Mar 2006,1294.87
S&P 500,Apr 2006,1310.61
S&P 500,May 2006,1270.09
S&P 500,Jun 2006,1270.2
S&P 500,Jul 2006,1276.66
S&P 500,Aug 2006,1303.82
S&P 500,Sep 2006,1335.85
S&P 500,Oct 2006,1377.94
S&P 500,Nov 2006,1400.63
S&P 500,Dec 2006,1418.3
S&P 500,Jan 2007,1438.24
S&P 500,Feb 2007,1406.82
S&P 500,Mar 2007,1420.86
S&P 500,Apr 2007,1482.37
S&P 500,May 2007,1530.62
S&P 500,Jun 2007,1503.35
S&P 500,Jul 2007,1455.27
S&P 500,Aug 2007,1473.99
S&P 500,Sep 2007,1526.75
S&P 500,Oct 2007,1549.38
S&P 500,Nov 2007,1481.14
S&P 500,Dec 2007,1468.36
S&P 500,Jan 2008,1378.55
S&P 500,Feb 2008,1330.63
S&P 500,Mar 2008,1322.7
S&P 500,Apr 2008,1385.59
S&P 500,May 2008,1400.38
S&P 500,Jun 2008,1280
S&P 500,Jul 2008,1267.38
S&P 500,Aug 2008,1282.83
S&P 500,Sep 2008,1166.36
S&P 500,Oct 2008,968.75
S&P 500,Nov 2008,896.24
S&P 500,Dec 2008,903.25
S&P 500,Jan 2009,825.88
S&P 500,Feb 2009,735.09
S&P 500,Mar 2009,797.87
S&P 500,Apr 2009,872.81
S&P 500,May 2009,919.14
S&P 500,Jun 2009,919.32
S&P 500,Jul 2009,987.48
S&P 500,Aug 2009,1020.62
S&P 500,Sep 2009,1057.08
S&P 500,Oct 2009,1036.19
S&P 500,Nov 2009,1095.63
S&P 500,Dec 2009,1115.1
S&P 500,Jan 2010,1073.87
S&P 500,Feb 2010,1104.49
S&P 500,Mar 2010,1140.45
MSFT,Jan 2000,39.81
MSFT,Feb 2000,36.35
MSFT,Mar 2000,43.22
MSFT,Apr 2000,28.37
MSFT,May 2000,25.45
MSFT,Jun 2000,32.54
MSFT,Jul 2000,28.4
MSFT,Aug 2000,28.4
MSFT,Sep 2000,24.53
MSFT,Oct 2000,28.02
MSFT,Nov 2000,23.34
MSFT,Dec 2000,17.65
MSFT,Jan 2001,24.84
MSFT,Feb 2001,24
MSFT,Mar 2001,22.25
MSFT,Apr 2001,27.56
MSFT,May 2001,28.14
MSFT,Jun 2001,29.7
MSFT,Jul 2001,26.93
MSFT,Aug 2001,23.21
MSFT,Sep 2001,20.82
MSFT,Oct 2001,23.65
MSFT,Nov 2001,26.12
MSFT,Dec 2001,26.95
MSFT,Jan 2002,25.92
MSFT,Feb 2002,23.73
MSFT,Mar 2002,24.53
MSFT,Apr 2002,21.26
MSFT,May 2002,20.71
MSFT,Jun 2002,22.25
MSFT,Jul 2002,19.52
MSFT,Aug 2002,19.97
MSFT,Sep 2002,17.79
MSFT,Oct 2002,21.75
MSFT,Nov 2002,23.46
MSFT,Dec 2002,21.03
MSFT,Jan 2003,19.31
MSFT,Feb 2003,19.34
MSFT,Mar 2003,19.76
MSFT,Apr 2003,20.87
MSFT,May 2003,20.09
MSFT,Jun 2003,20.93
MSFT,Jul 2003,21.56
MSFT,Aug 2003,21.65
MSFT,Sep 2003,22.69
MSFT,Oct 2003,21.45
MSFT,Nov 2003,21.1
MSFT,Dec 2003,22.46
MSFT,Jan 2004,22.69
MSFT,Feb 2004,21.77
MSFT,Mar 2004,20.46
MSFT,Apr 2004,21.45
MSFT,May 2004,21.53
MSFT,Jun 2004,23.44
MSFT,Jul 2004,23.38
MSFT,Aug 2004,22.47
MSFT,Sep 2004,22.76
MSFT,Oct 2004,23.02
MSFT,Nov 2004,24.6
MSFT,Dec 2004,24.52
MSFT,Jan 2005,24.11
MSFT,Feb 2005,23.15
MSFT,Mar 2005,22.24
MSFT,Apr 2005,23.28
MSFT,May 2005,23.82
MSFT,Jun 2005,22.93
MSFT,Jul 2005,23.64
MSFT,Aug 2005,25.35
MSFT,Sep 2005,23.83
MSFT,Oct 2005,23.8
MSFT,Nov 2005,25.71
MSFT,Dec 2005,24.29
MSFT,Jan 2006,26.14
MSFT,Feb 2006,25.04
MSFT,Mar 2006,25.36
MSFT,Apr 2006,22.5
MSFT,May 2006,21.19
MSFT,Jun 2006,21.8
MSFT,Jul 2006,22.51
MSFT,Aug 2006,24.13
MSFT,Sep 2006,25.68
MSFT,Oct 2006,26.96
MSFT,Nov 2006,27.66
MSFT,Dec 2006,28.13
MSFT,Jan 2007,29.07
MSFT,Feb 2007,26.63
MSFT,Mar 2007,26.35
MSFT,Apr 2007,28.3
MSFT,May 2007,29.11
MSFT,Jun 2007,27.95
MSFT,Jul 2007,27.5
MSFT,Aug 2007,27.34
MSFT,Sep 2007,28.04
MSFT,Oct 2007,35.03
MSFT,Nov 2007,32.09
MSFT,Dec 2007,34
MSFT,Jan 2008,31.13
MSFT,Feb 2008,26.07
MSFT,Mar 2008,27.21
MSFT,Apr 2008,27.34
MSFT,May 2008,27.25
MSFT,Jun 2008,26.47
MSFT,Jul 2008,24.75
MSFT,Aug 2008,26.36
MSFT,Sep 2008,25.78
MSFT,Oct 2008,21.57
MSFT,Nov 2008,19.66
MSFT,Dec 2008,18.91
MSFT,Jan 2009,16.63
MSFT,Feb 2009,15.81
MSFT,Mar 2009,17.99
MSFT,Apr 2009,19.84
MSFT,May 2009,20.59
MSFT,Jun 2009,23.42
MSFT,Jul 2009,23.18
MSFT,Aug 2009,24.43
MSFT,Sep 2009,25.49
MSFT,Oct 2009,27.48
MSFT,Nov 2009,29.27
MSFT,Dec 2009,30.34
MSFT,Jan 2010,28.05
MSFT,Feb 2010,28.67
MSFT,Mar 2010,28.8
AMZN,Jan 2000,64.56
AMZN,Feb 2000,68.87
AMZN,Mar 2000,67
AMZN,Apr 2000,55.19
AMZN,May 2000,48.31
AMZN,Jun 2000,36.31
AMZN,Jul 2000,30.12
AMZN,Aug 2000,41.5
AMZN,Sep 2000,38.44
AMZN,Oct 2000,36.62
AMZN,Nov 2000,24.69
AMZN,Dec 2000,15.56
AMZN,Jan 2001,17.31
AMZN,Feb 2001,10.19
AMZN,Mar 2001,10.23
AMZN,Apr 2001,15.78
AMZN,May 2001,16.69
AMZN,Jun 2001,14.15
AMZN,Jul 2001,12.49
AMZN,Aug 2001,8.94
AMZN,Sep 2001,5.97
AMZN,Oct 2001,6.98
AMZN,Nov 2001,11.32
AMZN,Dec 2001,10.82
AMZN,Jan 2002,14.19
AMZN,Feb 2002,14.1
AMZN,Mar 2002,14.3
AMZN,Apr 2002,16.69
AMZN,May 2002,18.23
AMZN,Jun 2002,16.25
AMZN,Jul 2002,14.45
AMZN,Aug 2002,14.94
AMZN,Sep 2002,15.93
AMZN,Oct 2002,19.36
AMZN,Nov 2002,23.35
AMZN,Dec 2002,18.89
AMZN,Jan 2003,21.85
AMZN,Feb 2003,22.01
AMZN,Mar 2003,26.03
AMZN,Apr 2003,28.69
AMZN,May 2003,35.89
AMZN,Jun 2003,36.32
AMZN,Jul 2003,41.64
AMZN,Aug 2003,46.32
AMZN,Sep 2003,48.43
AMZN,Oct 2003,54.43
AMZN,Nov 2003,53.97
AMZN,Dec 2003,52.62
AMZN,Jan 2004,50.4
AMZN,Feb 2004,43.01
AMZN,Mar 2004,43.28
AMZN,Apr 2004,43.6
AMZN,May 2004,48.5
AMZN,Jun 2004,54.4
AMZN,Jul 2004,38.92
AMZN,Aug 2004,38.14
AMZN,Sep 2004,40.86
AMZN,Oct 2004,34.13
AMZN,Nov 2004,39.68
AMZN,Dec 2004,44.29
AMZN,Jan 2005,43.22
AMZN,Feb 2005,35.18
AMZN,Mar 2005,34.27
AMZN,Apr 2005,32.36
AMZN,May 2005,35.51
AMZN,Jun 2005,33.09
AMZN,Jul 2005,45.15
AMZN,Aug 2005,42.7
AMZN,Sep 2005,45.3
AMZN,Oct 2005,39.86
AMZN,Nov 2005,48.46
AMZN,Dec 2005,47.15
AMZN,Jan 2006,44.82
AMZN,Feb 2006,37.44
AMZN,Mar 2006,36.53
AMZN,Apr 2006,35.21
AMZN,May 2006,34.61
AMZN,Jun 2006,38.68
AMZN,Jul 2006,26.89
AMZN,Aug 2006,30.83
AMZN,Sep 2006,32.12
AMZN,Oct 2006,38.09
AMZN,Nov 2006,40.34
AMZN,Dec 2006,39.46
AMZN,Jan 2007,37.67
AMZN,Feb 2007,39.14
AMZN,Mar 2007,39.79
AMZN,Apr 2007,61.33
AMZN,May 2007,69.14
AMZN,Jun 2007,68.41
AMZN,Jul 2007,78.54
AMZN,Aug 2007,79.91
AMZN,Sep 2007,93.15
AMZN,Oct 2007,89.15
AMZN,Nov 2007,90.56
AMZN,Dec 2007,92.64
AMZN,Jan 2008,77.7
AMZN,Feb 2008,64.47
AMZN,Mar 2008,71.3
AMZN,Apr 2008,78.63
AMZN,May 2008,81.62
AMZN,Jun 2008,73.33
AMZN,Jul 2008,76.34
AMZN,Aug 2008,80.81
AMZN,Sep 2008,72.76
AMZN,Oct 2008,57.24
AMZN,Nov 2008,42.7
AMZN,Dec 2008,51.28
AMZN,Jan 2009,58.82
AMZN,Feb 2009,64.79
AMZN,Mar 2009,73.44
AMZN,Apr 2009,80.52
AMZN,May 2009,77.99
AMZN,Jun 2009,83.66
AMZN,Jul 2009,85.76
AMZN,Aug 2009,81.19
AMZN,Sep 2009,93.36
AMZN,Oct 2009,118.81
AMZN,Nov 2009,135.91
AMZN,Dec 2009,134.52
AMZN,Jan 2010,125.41
AMZN,Feb 2010,118.4
AMZN,Mar 2010,128.82
IBM,Jan 2000,100.52
IBM,Feb 2000,92.11
IBM,Mar 2000,106.11
IBM,Apr 2000,99.95
IBM,May 2000,96.31
IBM,Jun 2000,98.33
IBM,Jul 2000,100.74
IBM,Aug 2000,118.62
IBM,Sep 2000,101.19
IBM,Oct 2000,88.5
IBM,Nov 2000,84.12
IBM,Dec 2000,76.47
IBM,Jan 2001,100.76
IBM,Feb 2001,89.98
IBM,Mar 2001,86.63
IBM,Apr 2001,103.7
IBM,May 2001,100.82
IBM,Jun 2001,102.35
IBM,Jul 2001,94.87
IBM,Aug 2001,90.25
IBM,Sep 2001,82.82
IBM,Oct 2001,97.58
IBM,Nov 2001,104.5
IBM,Dec 2001,109.36
IBM,Jan 2002,97.54
IBM,Feb 2002,88.82
IBM,Mar 2002,94.15
IBM,Apr 2002,75.82
IBM,May 2002,72.97
IBM,Jun 2002,65.31
IBM,Jul 2002,63.86
IBM,Aug 2002,68.52
IBM,Sep 2002,53.01
IBM,Oct 2002,71.76
IBM,Nov 2002,79.16
IBM,Dec 2002,70.58
IBM,Jan 2003,71.22
IBM,Feb 2003,71.13
IBM,Mar 2003,71.57
IBM,Apr 2003,77.47
IBM,May 2003,80.48
IBM,Jun 2003,75.42
IBM,Jul 2003,74.28
IBM,Aug 2003,75.12
IBM,Sep 2003,80.91
IBM,Oct 2003,81.96
IBM,Nov 2003,83.08
IBM,Dec 2003,85.05
IBM,Jan 2004,91.06
IBM,Feb 2004,88.7
IBM,Mar 2004,84.41
IBM,Apr 2004,81.04
IBM,May 2004,81.59
IBM,Jun 2004,81.19
IBM,Jul 2004,80.19
IBM,Aug 2004,78.17
IBM,Sep 2004,79.13
IBM,Oct 2004,82.84
IBM,Nov 2004,87.15
IBM,Dec 2004,91.16
IBM,Jan 2005,86.39
IBM,Feb 2005,85.78
IBM,Mar 2005,84.66
IBM,Apr 2005,70.77
IBM,May 2005,70.18
IBM,Jun 2005,68.93
IBM,Jul 2005,77.53
IBM,Aug 2005,75.07
IBM,Sep 2005,74.7
IBM,Oct 2005,76.25
IBM,Nov 2005,82.98
IBM,Dec 2005,76.73
IBM,Jan 2006,75.89
IBM,Feb 2006,75.09
IBM,Mar 2006,77.17
IBM,Apr 2006,77.05
IBM,May 2006,75.04
IBM,Jun 2006,72.15
IBM,Jul 2006,72.7
IBM,Aug 2006,76.35
IBM,Sep 2006,77.26
IBM,Oct 2006,87.06
IBM,Nov 2006,86.95
IBM,Dec 2006,91.9
IBM,Jan 2007,93.79
IBM,Feb 2007,88.18
IBM,Mar 2007,89.44
IBM,Apr 2007,96.98
IBM,May 2007,101.54
IBM,Jun 2007,100.25
IBM,Jul 2007,105.4
IBM,Aug 2007,111.54
IBM,Sep 2007,112.6
IBM,Oct 2007,111
IBM,Nov 2007,100.9
IBM,Dec 2007,103.7
IBM,Jan 2008,102.75
IBM,Feb 2008,109.64
IBM,Mar 2008,110.87
IBM,Apr 2008,116.23
IBM,May 2008,125.14
IBM,Jun 2008,114.6
IBM,Jul 2008,123.74
IBM,Aug 2008,118.16
IBM,Sep 2008,113.53
IBM,Oct 2008,90.24
IBM,Nov 2008,79.65
IBM,Dec 2008,82.15
IBM,Jan 2009,89.46
IBM,Feb 2009,90.32
IBM,Mar 2009,95.09
IBM,Apr 2009,101.29
IBM,May 2009,104.85
IBM,Jun 2009,103.01
IBM,Jul 2009,116.34
IBM,Aug 2009,117
IBM,Sep 2009,118.55
IBM,Oct 2009,119.54
IBM,Nov 2009,125.79
IBM,Dec 2009,130.32
IBM,Jan 2010,121.85
IBM,Feb 2010,127.16
IBM,Mar 2010,125.55
GOOG,Aug 2004,102.37
GOOG,Sep 2004,129.6
GOOG,Oct 2004,190.64
GOOG,Nov 2004,181.98
GOOG,Dec 2004,192.79
GOOG,Jan 2005,195.62
GOOG,Feb 2005,187.99
GOOG,Mar 2005,180.51
GOOG,Apr 2005,220
GOOG,May 2005,277.27
GOOG,Jun 2005,294.15
GOOG,Jul 2005,287.76
GOOG,Aug 2005,286
GOOG,Sep 2005,316.46
GOOG,Oct 2005,372.14
GOOG,Nov 2005,404.91
GOOG,Dec 2005,414.86
GOOG,Jan 2006,432.66
GOOG,Feb 2006,362.62
GOOG,Mar 2006,390
GOOG,Apr 2006,417.94
GOOG,May 2006,371.82
GOOG,Jun 2006,419.33
GOOG,Jul 2006,386.6
GOOG,Aug 2006,378.53
GOOG,Sep 2006,401.9
GOOG,Oct 2006,476.39
GOOG,Nov 2006,484.81
GOOG,Dec 2006,460.48
GOOG,Jan 2007,501.5
GOOG,Feb 2007,449.45
GOOG,Mar 2007,458.16
GOOG,Apr 2007,471.38
GOOG,May 2007,497.91
GOOG,Jun 2007,522.7
GOOG,Jul 2007,510
GOOG,Aug 2007,515.25
GOOG,Sep 2007,567.27
GOOG,Oct 2007,707
GOOG,Nov 2007,693
GOOG,Dec 2007,691.48
GOOG,Jan 2008,564.3
GOOG,Feb 2008,471.18
GOOG,Mar 2008,440.47
GOOG,Apr 2008,574.29
GOOG,May 2008,585.8
GOOG,Jun 2008,526.42
GOOG,Jul 2008,473.75
GOOG,Aug 2008,463.29
GOOG,Sep 2008,400.52
GOOG,Oct 2008,359.36
GOOG,Nov 2008,292.96
GOOG,Dec 2008,307.65
GOOG,Jan 2009,338.53
GOOG,Feb 2009,337.99
GOOG,Mar 2009,348.06
GOOG,Apr 2009,395.97
GOOG,May 2009,417.23
GOOG,Jun 2009,421.59
GOOG,Jul 2009,443.05
GOOG,Aug 2009,461.67
GOOG,Sep 2009,495.85
GOOG,Oct 2009,536.12
GOOG,Nov 2009,583
GOOG,Dec 2009,619.98
GOOG,Jan 2010,529.94
GOOG,Feb 2010,526.8
GOOG,Mar 2010,560.19
10 Year T-Note,Jan 2000,6.67
10 Year T-Note,Feb 2000,6.41
10 Year T-Note,Mar 2000,6.02
10 Year T-Note,Apr 2000,6.21
10 Year T-Note,May 2000,6.28
10 Year T-Note,Jun 2000,6.02
10 Year T-Note,Jul 2000,6.03
10 Year T-Note,Aug 2000,5.73
10 Year T-Note,Sep 2000,5.78
10 Year T-Note,Oct 2000,5.76
10 Year T-Note,Nov 2000,5.44
10 Year T-Note,Dec 2000,5.11
10 Year T-Note,Jan 2001,5.18
10 Year T-Note,Feb 2001,4.91
10 Year T-Note,Mar 2001,4.91
10 Year T-Note,Apr 2001,5.34
10 Year T-Note,May 2001,5.41
10 Year T-Note,Jun 2001,5.39
10 Year T-Note,Jul 2001,5.04
10 Year T-Note,Aug 2001,4.82
10 Year T-Note,Sep 2001,4.57
10 Year T-Note,Oct 2001,4.26
10 Year T-Note,Nov 2001,4.74
10 Year T-Note,Dec 2001,5.03
10 Year T-Note,Jan 2002,5.03
10 Year T-Note,Feb 2002,4.86
10 Year T-Note,Mar 2002,5.41
10 Year T-Note,Apr 2002,5.09
10 Year T-Note,May 2002,5.04
10 Year T-Note,Jun 2002,4.82
10 Year T-Note,Jul 2002,4.47
10 Year T-Note,Aug 2002,4.14
10 Year T-Note,Sep 2002,3.61
10 Year T-Note,Oct 2002,3.91
10 Year T-Note,Nov 2002,4.21
10 Year T-Note,Dec 2002,3.82
10 Year T-Note,Jan 2003,3.97
10 Year T-Note,Feb 2003,3.7
10 Year T-Note,Mar 2003,3.82
10 Year T-Note,Apr 2003,3.86
10 Year T-Note,May 2003,3.35
10 Year T-Note,Jun 2003,3.53
10 Year T-Note,Jul 2003,4.47
10 Year T-Note,Aug 2003,4.45
10 Year T-Note,Sep 2003,3.94
10 Year T-Note,Oct 2003,4.3
10 Year T-Note,Nov 2003,4.32
10 Year T-Note,Dec 2003,4.26
10 Year T-Note,Jan 2004,4.14
10 Year T-Note,Feb 2004,3.98
10 Year T-Note,Mar 2004,3.84
10 Year T-Note,Apr 2004,4.5
10 Year T-Note,May 2004,4.66
10 Year T-Note,Jun 2004,4.62
10 Year T-Note,Jul 2004,4.47
10 Year T-Note,Aug 2004,4.13
10 Year T-Note,Sep 2004,4.12
10 Year T-Note,Oct 2004,4.03
10 Year T-Note,Nov 2004,4.36
10 Year T-Note,Dec 2004,4.22
10 Year T-Note,Jan 2005,4.13
10 Year T-Note,Feb 2005,4.36
10 Year T-Note,Mar 2005,4.5
10 Year T-Note,Apr 2005,4.2
10 Year T-Note,May 2005,4.01
10 Year T-Note,Jun 2005,3.94
10 Year T-Note,Jul 2005,4.29
10 Year T-Note,Aug 2005,4.02
10 Year T-Note,Sep 2005,4.33
10 Year T-Note,Oct 2005,4.56
10 Year T-Note,Nov 2005,4.5
10 Year T-Note,Dec 2005,4.39
10 Year T-Note,Jan 2006,4.53
10 Year T-Note,Feb 2006,4.55
10 Year T-Note,Mar 2006,4.85
10 Year T-Note,Apr 2006,5.07
10 Year T-Note,May 2006,5.11
10 Year T-Note,Jun 2006,5.14
10 Year T-Note,Jul 2006,4.99
10 Year T-Note,Aug 2006,4.73
10 Year T-Note,Sep 2006,4.63
10 Year T-Note,Oct 2006,4.61
10 Year T-Note,Nov 2006,4.46
10 Year T-Note,Dec 2006,4.71
10 Year T-Note,Jan 2007,4.83
10 Year T-Note,Feb 2007,4.55
10 Year T-Note,Mar 2007,4.65
10 Year T-Note,Apr 2007,4.63
10 Year T-Note,May 2007,4.89
10 Year T-Note,Jun 2007,5.03
10 Year T-Note,Jul 2007,4.77
10 Year T-Note,Aug 2007,4.54
10 Year T-Note,Sep 2007,4.58
10 Year T-Note,Oct 2007,4.47
10 Year T-Note,Nov 2007,3.97
10 Year T-Note,Dec 2007,4.03
10 Year T-Note,Jan 2008,3.64
10 Year T-Note,Feb 2008,3.53
10 Year T-Note,Mar 2008,3.43
10 Year T-Note,Apr 2008,3.76
10 Year T-Note,May 2008,4.05
10 Year T-Note,Jun 2008,3.98
10 Year T-Note,Jul 2008,3.98
10 Year T-Note,Aug 2008,3.81
10 Year T-Note,Sep 2008,3.83
10 Year T-Note,Oct 2008,3.97
10 Year T-Note,Nov 2008,2.96
10 Year T-Note,Dec 2008,2.24
10 Year T-Note,Jan 2009,2.84
10 Year T-Note,Feb 2009,3.04
10 Year T-Note,Mar 2009,2.68
10 Year T-Note,Apr 2009,3.12
10 Year T-Note,May 2009,3.46
10 Year T-Note,Jun 2009,3.52
10 Year T-Note,Jul 2009,3.5
10 Year T-Note,Aug 2009,3.4
10 Year T-Note,Sep 2009,3.31
10 Year T-Note,Oct 2009,3.39
10 Year T-Note,Nov 2009,3.2
10 Year T-Note,Dec 2009,3.84
10 Year T-Note,Jan 2010,3.61
10 Year T-Note,Feb 2010,3.6
10 Year T-Note,Mar 2010,3.7
AAPL,Jan 2000,25.94
AAPL,Feb 2000,28.66
AAPL,Mar 2000,33.95
AAPL,Apr 2000,31.01
AAPL,May 2000,21
AAPL,Jun 2000,26.19
AAPL,Jul 2000,25.41
AAPL,Aug 2000,30.47
AAPL,Sep 2000,12.88
AAPL,Oct 2000,9.78
AAPL,Nov 2000,8.25
AAPL,Dec 2000,7.44
AAPL,Jan 2001,10.81
AAPL,Feb 2001,9.12
AAPL,Mar 2001,11.03
AAPL,Apr 2001,12.74
AAPL,May 2001,9.98
AAPL,Jun 2001,11.62
AAPL,Jul 2001,9.4
AAPL,Aug 2001,9.27
AAPL,Sep 2001,7.76
AAPL,Oct 2001,8.78
AAPL,Nov 2001,10.65
AAPL,Dec 2001,10.95
AAPL,Jan 2002,12.36
AAPL,Feb 2002,10.85
AAPL,Mar 2002,11.84
AAPL,Apr 2002,12.14
AAPL,May 2002,11.65
AAPL,Jun 2002,8.86
AAPL,Jul 2002,7.63
AAPL,Aug 2002,7.38
AAPL,Sep 2002,7.25
AAPL,Oct 2002,8.03
AAPL,Nov 2002,7.75
AAPL,Dec 2002,7.16
AAPL,Jan 2003,7.18
AAPL,Feb 2003,7.51
AAPL,Mar 2003,7.07
AAPL,Apr 2003,7.11
AAPL,May 2003,8.98
AAPL,Jun 2003,9.53
AAPL,Jul 2003,10.54
AAPL,Aug 2003,11.31
AAPL,Sep 2003,10.36
AAPL,Oct 2003,11.44
AAPL,Nov 2003,10.45
AAPL,Dec 2003,10.69
AAPL,Jan 2004,11.28
AAPL,Feb 2004,11.96
AAPL,Mar 2004,13.52
AAPL,Apr 2004,12.89
AAPL,May 2004,14.03
AAPL,Jun 2004,16.27
AAPL,Jul 2004,16.17
AAPL,Aug 2004,17.25
AAPL,Sep 2004,19.38
AAPL,Oct 2004,26.2
AAPL,Nov 2004,33.53
AAPL,Dec 2004,32.2
AAPL,Jan 2005,38.45
AAPL,Feb 2005,44.86
AAPL,Mar 2005,41.67
AAPL,Apr 2005,36.06
AAPL,May 2005,39.76
AAPL,Jun 2005,36.81
AAPL,Jul 2005,42.65
AAPL,Aug 2005,46.89
AAPL,Sep 2005,53.61
AAPL,Oct 2005,57.59
AAPL,Nov 2005,67.82
AAPL,Dec 2005,71.89
AAPL,Jan 2006,75.51
AAPL,Feb 2006,68.49
AAPL,Mar 2006,62.72
AAPL,Apr 2006,70.39
AAPL,May 2006,59.77
AAPL,Jun 2006,57.27
AAPL,Jul 2006,67.96
AAPL,Aug 2006,67.85
AAPL,Sep 2006,76.98
AAPL,Oct 2006,81.08
AAPL,Nov 2006,91.66
AAPL,Dec 2006,84.84
AAPL,Jan 2007,85.73
AAPL,Feb 2007,84.61
AAPL,Mar 2007,92.91
AAPL,Apr 2007,99.8
AAPL,May 2007,121.19
AAPL,Jun 2007,122.04
AAPL,Jul 2007,131.76
AAPL,Aug 2007,138.48
AAPL,Sep 2007,153.47
AAPL,Oct 2007,189.95
AAPL,Nov 2007,182.22
AAPL,Dec 2007,198.08
AAPL,Jan 2008,135.36
AAPL,Feb 2008,125.02
AAPL,Mar 2008,143.5
AAPL,Apr 2008,173.95
AAPL,May 2008,188.75
AAPL,Jun 2008,167.44
AAPL,Jul 2008,158.95
AAPL,Aug 2008,169.53
AAPL,Sep 2008,113.66
AAPL,Oct 2008,107.59
AAPL,Nov 2008,92.67
AAPL,Dec 2008,85.35
AAPL,Jan 2009,90.13
AAPL,Feb 2009,89.31
AAPL,Mar 2009,105.12
AAPL,Apr 2009,125.83
AAPL,May 2009,135.81
AAPL,Jun 2009,142.43
AAPL,Jul 2009,163.39
AAPL,Aug 2009,168.21
AAPL,Sep 2009,185.35
AAPL,Oct 2009,188.5
AAPL,Nov 2009,199.91
AAPL,Dec 2009,210.73
AAPL,Jan 2010,192.06
AAPL,Feb 2010,204.62
AAPL,Mar 2010,223.02
1 symbol date price
2 S&P 500 Jan 2000 1394.46
3 S&P 500 Feb 2000 1366.42
4 S&P 500 Mar 2000 1498.58
5 S&P 500 Apr 2000 1452.43
6 S&P 500 May 2000 1420.6
7 S&P 500 Jun 2000 1454.6
8 S&P 500 Jul 2000 1430.83
9 S&P 500 Aug 2000 1517.68
10 S&P 500 Sep 2000 1436.51
11 S&P 500 Oct 2000 1429.4
12 S&P 500 Nov 2000 1314.95
13 S&P 500 Dec 2000 1320.28
14 S&P 500 Jan 2001 1366.01
15 S&P 500 Feb 2001 1239.94
16 S&P 500 Mar 2001 1160.33
17 S&P 500 Apr 2001 1249.46
18 S&P 500 May 2001 1255.82
19 S&P 500 Jun 2001 1224.38
20 S&P 500 Jul 2001 1211.23
21 S&P 500 Aug 2001 1133.58
22 S&P 500 Sep 2001 1040.94
23 S&P 500 Oct 2001 1059.78
24 S&P 500 Nov 2001 1139.45
25 S&P 500 Dec 2001 1148.08
26 S&P 500 Jan 2002 1130.2
27 S&P 500 Feb 2002 1106.73
28 S&P 500 Mar 2002 1147.39
29 S&P 500 Apr 2002 1076.92
30 S&P 500 May 2002 1067.14
31 S&P 500 Jun 2002 989.82
32 S&P 500 Jul 2002 911.62
33 S&P 500 Aug 2002 916.07
34 S&P 500 Sep 2002 815.28
35 S&P 500 Oct 2002 885.76
36 S&P 500 Nov 2002 936.31
37 S&P 500 Dec 2002 879.82
38 S&P 500 Jan 2003 855.7
39 S&P 500 Feb 2003 841.15
40 S&P 500 Mar 2003 848.18
41 S&P 500 Apr 2003 916.92
42 S&P 500 May 2003 963.59
43 S&P 500 Jun 2003 974.5
44 S&P 500 Jul 2003 990.31
45 S&P 500 Aug 2003 1008.01
46 S&P 500 Sep 2003 995.97
47 S&P 500 Oct 2003 1050.71
48 S&P 500 Nov 2003 1058.2
49 S&P 500 Dec 2003 1111.92
50 S&P 500 Jan 2004 1131.13
51 S&P 500 Feb 2004 1144.94
52 S&P 500 Mar 2004 1126.21
53 S&P 500 Apr 2004 1107.3
54 S&P 500 May 2004 1120.68
55 S&P 500 Jun 2004 1140.84
56 S&P 500 Jul 2004 1101.72
57 S&P 500 Aug 2004 1104.24
58 S&P 500 Sep 2004 1114.58
59 S&P 500 Oct 2004 1130.2
60 S&P 500 Nov 2004 1173.82
61 S&P 500 Dec 2004 1211.92
62 S&P 500 Jan 2005 1181.27
63 S&P 500 Feb 2005 1203.6
64 S&P 500 Mar 2005 1180.59
65 S&P 500 Apr 2005 1156.85
66 S&P 500 May 2005 1191.5
67 S&P 500 Jun 2005 1191.33
68 S&P 500 Jul 2005 1234.18
69 S&P 500 Aug 2005 1220.33
70 S&P 500 Sep 2005 1228.81
71 S&P 500 Oct 2005 1207.01
72 S&P 500 Nov 2005 1249.48
73 S&P 500 Dec 2005 1248.29
74 S&P 500 Jan 2006 1280.08
75 S&P 500 Feb 2006 1280.66
76 S&P 500 Mar 2006 1294.87
77 S&P 500 Apr 2006 1310.61
78 S&P 500 May 2006 1270.09
79 S&P 500 Jun 2006 1270.2
80 S&P 500 Jul 2006 1276.66
81 S&P 500 Aug 2006 1303.82
82 S&P 500 Sep 2006 1335.85
83 S&P 500 Oct 2006 1377.94
84 S&P 500 Nov 2006 1400.63
85 S&P 500 Dec 2006 1418.3
86 S&P 500 Jan 2007 1438.24
87 S&P 500 Feb 2007 1406.82
88 S&P 500 Mar 2007 1420.86
89 S&P 500 Apr 2007 1482.37
90 S&P 500 May 2007 1530.62
91 S&P 500 Jun 2007 1503.35
92 S&P 500 Jul 2007 1455.27
93 S&P 500 Aug 2007 1473.99
94 S&P 500 Sep 2007 1526.75
95 S&P 500 Oct 2007 1549.38
96 S&P 500 Nov 2007 1481.14
97 S&P 500 Dec 2007 1468.36
98 S&P 500 Jan 2008 1378.55
99 S&P 500 Feb 2008 1330.63
100 S&P 500 Mar 2008 1322.7
101 S&P 500 Apr 2008 1385.59
102 S&P 500 May 2008 1400.38
103 S&P 500 Jun 2008 1280
104 S&P 500 Jul 2008 1267.38
105 S&P 500 Aug 2008 1282.83
106 S&P 500 Sep 2008 1166.36
107 S&P 500 Oct 2008 968.75
108 S&P 500 Nov 2008 896.24
109 S&P 500 Dec 2008 903.25
110 S&P 500 Jan 2009 825.88
111 S&P 500 Feb 2009 735.09
112 S&P 500 Mar 2009 797.87
113 S&P 500 Apr 2009 872.81
114 S&P 500 May 2009 919.14
115 S&P 500 Jun 2009 919.32
116 S&P 500 Jul 2009 987.48
117 S&P 500 Aug 2009 1020.62
118 S&P 500 Sep 2009 1057.08
119 S&P 500 Oct 2009 1036.19
120 S&P 500 Nov 2009 1095.63
121 S&P 500 Dec 2009 1115.1
122 S&P 500 Jan 2010 1073.87
123 S&P 500 Feb 2010 1104.49
124 S&P 500 Mar 2010 1140.45
125 MSFT Jan 2000 39.81
126 MSFT Feb 2000 36.35
127 MSFT Mar 2000 43.22
128 MSFT Apr 2000 28.37
129 MSFT May 2000 25.45
130 MSFT Jun 2000 32.54
131 MSFT Jul 2000 28.4
132 MSFT Aug 2000 28.4
133 MSFT Sep 2000 24.53
134 MSFT Oct 2000 28.02
135 MSFT Nov 2000 23.34
136 MSFT Dec 2000 17.65
137 MSFT Jan 2001 24.84
138 MSFT Feb 2001 24
139 MSFT Mar 2001 22.25
140 MSFT Apr 2001 27.56
141 MSFT May 2001 28.14
142 MSFT Jun 2001 29.7
143 MSFT Jul 2001 26.93
144 MSFT Aug 2001 23.21
145 MSFT Sep 2001 20.82
146 MSFT Oct 2001 23.65
147 MSFT Nov 2001 26.12
148 MSFT Dec 2001 26.95
149 MSFT Jan 2002 25.92
150 MSFT Feb 2002 23.73
151 MSFT Mar 2002 24.53
152 MSFT Apr 2002 21.26
153 MSFT May 2002 20.71
154 MSFT Jun 2002 22.25
155 MSFT Jul 2002 19.52
156 MSFT Aug 2002 19.97
157 MSFT Sep 2002 17.79
158 MSFT Oct 2002 21.75
159 MSFT Nov 2002 23.46
160 MSFT Dec 2002 21.03
161 MSFT Jan 2003 19.31
162 MSFT Feb 2003 19.34
163 MSFT Mar 2003 19.76
164 MSFT Apr 2003 20.87
165 MSFT May 2003 20.09
166 MSFT Jun 2003 20.93
167 MSFT Jul 2003 21.56
168 MSFT Aug 2003 21.65
169 MSFT Sep 2003 22.69
170 MSFT Oct 2003 21.45
171 MSFT Nov 2003 21.1
172 MSFT Dec 2003 22.46
173 MSFT Jan 2004 22.69
174 MSFT Feb 2004 21.77
175 MSFT Mar 2004 20.46
176 MSFT Apr 2004 21.45
177 MSFT May 2004 21.53
178 MSFT Jun 2004 23.44
179 MSFT Jul 2004 23.38
180 MSFT Aug 2004 22.47
181 MSFT Sep 2004 22.76
182 MSFT Oct 2004 23.02
183 MSFT Nov 2004 24.6
184 MSFT Dec 2004 24.52
185 MSFT Jan 2005 24.11
186 MSFT Feb 2005 23.15
187 MSFT Mar 2005 22.24
188 MSFT Apr 2005 23.28
189 MSFT May 2005 23.82
190 MSFT Jun 2005 22.93
191 MSFT Jul 2005 23.64
192 MSFT Aug 2005 25.35
193 MSFT Sep 2005 23.83
194 MSFT Oct 2005 23.8
195 MSFT Nov 2005 25.71
196 MSFT Dec 2005 24.29
197 MSFT Jan 2006 26.14
198 MSFT Feb 2006 25.04
199 MSFT Mar 2006 25.36
200 MSFT Apr 2006 22.5
201 MSFT May 2006 21.19
202 MSFT Jun 2006 21.8
203 MSFT Jul 2006 22.51
204 MSFT Aug 2006 24.13
205 MSFT Sep 2006 25.68
206 MSFT Oct 2006 26.96
207 MSFT Nov 2006 27.66
208 MSFT Dec 2006 28.13
209 MSFT Jan 2007 29.07
210 MSFT Feb 2007 26.63
211 MSFT Mar 2007 26.35
212 MSFT Apr 2007 28.3
213 MSFT May 2007 29.11
214 MSFT Jun 2007 27.95
215 MSFT Jul 2007 27.5
216 MSFT Aug 2007 27.34
217 MSFT Sep 2007 28.04
218 MSFT Oct 2007 35.03
219 MSFT Nov 2007 32.09
220 MSFT Dec 2007 34
221 MSFT Jan 2008 31.13
222 MSFT Feb 2008 26.07
223 MSFT Mar 2008 27.21
224 MSFT Apr 2008 27.34
225 MSFT May 2008 27.25
226 MSFT Jun 2008 26.47
227 MSFT Jul 2008 24.75
228 MSFT Aug 2008 26.36
229 MSFT Sep 2008 25.78
230 MSFT Oct 2008 21.57
231 MSFT Nov 2008 19.66
232 MSFT Dec 2008 18.91
233 MSFT Jan 2009 16.63
234 MSFT Feb 2009 15.81
235 MSFT Mar 2009 17.99
236 MSFT Apr 2009 19.84
237 MSFT May 2009 20.59
238 MSFT Jun 2009 23.42
239 MSFT Jul 2009 23.18
240 MSFT Aug 2009 24.43
241 MSFT Sep 2009 25.49
242 MSFT Oct 2009 27.48
243 MSFT Nov 2009 29.27
244 MSFT Dec 2009 30.34
245 MSFT Jan 2010 28.05
246 MSFT Feb 2010 28.67
247 MSFT Mar 2010 28.8
248 AMZN Jan 2000 64.56
249 AMZN Feb 2000 68.87
250 AMZN Mar 2000 67
251 AMZN Apr 2000 55.19
252 AMZN May 2000 48.31
253 AMZN Jun 2000 36.31
254 AMZN Jul 2000 30.12
255 AMZN Aug 2000 41.5
256 AMZN Sep 2000 38.44
257 AMZN Oct 2000 36.62
258 AMZN Nov 2000 24.69
259 AMZN Dec 2000 15.56
260 AMZN Jan 2001 17.31
261 AMZN Feb 2001 10.19
262 AMZN Mar 2001 10.23
263 AMZN Apr 2001 15.78
264 AMZN May 2001 16.69
265 AMZN Jun 2001 14.15
266 AMZN Jul 2001 12.49
267 AMZN Aug 2001 8.94
268 AMZN Sep 2001 5.97
269 AMZN Oct 2001 6.98
270 AMZN Nov 2001 11.32
271 AMZN Dec 2001 10.82
272 AMZN Jan 2002 14.19
273 AMZN Feb 2002 14.1
274 AMZN Mar 2002 14.3
275 AMZN Apr 2002 16.69
276 AMZN May 2002 18.23
277 AMZN Jun 2002 16.25
278 AMZN Jul 2002 14.45
279 AMZN Aug 2002 14.94
280 AMZN Sep 2002 15.93
281 AMZN Oct 2002 19.36
282 AMZN Nov 2002 23.35
283 AMZN Dec 2002 18.89
284 AMZN Jan 2003 21.85
285 AMZN Feb 2003 22.01
286 AMZN Mar 2003 26.03
287 AMZN Apr 2003 28.69
288 AMZN May 2003 35.89
289 AMZN Jun 2003 36.32
290 AMZN Jul 2003 41.64
291 AMZN Aug 2003 46.32
292 AMZN Sep 2003 48.43
293 AMZN Oct 2003 54.43
294 AMZN Nov 2003 53.97
295 AMZN Dec 2003 52.62
296 AMZN Jan 2004 50.4
297 AMZN Feb 2004 43.01
298 AMZN Mar 2004 43.28
299 AMZN Apr 2004 43.6
300 AMZN May 2004 48.5
301 AMZN Jun 2004 54.4
302 AMZN Jul 2004 38.92
303 AMZN Aug 2004 38.14
304 AMZN Sep 2004 40.86
305 AMZN Oct 2004 34.13
306 AMZN Nov 2004 39.68
307 AMZN Dec 2004 44.29
308 AMZN Jan 2005 43.22
309 AMZN Feb 2005 35.18
310 AMZN Mar 2005 34.27
311 AMZN Apr 2005 32.36
312 AMZN May 2005 35.51
313 AMZN Jun 2005 33.09
314 AMZN Jul 2005 45.15
315 AMZN Aug 2005 42.7
316 AMZN Sep 2005 45.3
317 AMZN Oct 2005 39.86
318 AMZN Nov 2005 48.46
319 AMZN Dec 2005 47.15
320 AMZN Jan 2006 44.82
321 AMZN Feb 2006 37.44
322 AMZN Mar 2006 36.53
323 AMZN Apr 2006 35.21
324 AMZN May 2006 34.61
325 AMZN Jun 2006 38.68
326 AMZN Jul 2006 26.89
327 AMZN Aug 2006 30.83
328 AMZN Sep 2006 32.12
329 AMZN Oct 2006 38.09
330 AMZN Nov 2006 40.34
331 AMZN Dec 2006 39.46
332 AMZN Jan 2007 37.67
333 AMZN Feb 2007 39.14
334 AMZN Mar 2007 39.79
335 AMZN Apr 2007 61.33
336 AMZN May 2007 69.14
337 AMZN Jun 2007 68.41
338 AMZN Jul 2007 78.54
339 AMZN Aug 2007 79.91
340 AMZN Sep 2007 93.15
341 AMZN Oct 2007 89.15
342 AMZN Nov 2007 90.56
343 AMZN Dec 2007 92.64
344 AMZN Jan 2008 77.7
345 AMZN Feb 2008 64.47
346 AMZN Mar 2008 71.3
347 AMZN Apr 2008 78.63
348 AMZN May 2008 81.62
349 AMZN Jun 2008 73.33
350 AMZN Jul 2008 76.34
351 AMZN Aug 2008 80.81
352 AMZN Sep 2008 72.76
353 AMZN Oct 2008 57.24
354 AMZN Nov 2008 42.7
355 AMZN Dec 2008 51.28
356 AMZN Jan 2009 58.82
357 AMZN Feb 2009 64.79
358 AMZN Mar 2009 73.44
359 AMZN Apr 2009 80.52
360 AMZN May 2009 77.99
361 AMZN Jun 2009 83.66
362 AMZN Jul 2009 85.76
363 AMZN Aug 2009 81.19
364 AMZN Sep 2009 93.36
365 AMZN Oct 2009 118.81
366 AMZN Nov 2009 135.91
367 AMZN Dec 2009 134.52
368 AMZN Jan 2010 125.41
369 AMZN Feb 2010 118.4
370 AMZN Mar 2010 128.82
371 IBM Jan 2000 100.52
372 IBM Feb 2000 92.11
373 IBM Mar 2000 106.11
374 IBM Apr 2000 99.95
375 IBM May 2000 96.31
376 IBM Jun 2000 98.33
377 IBM Jul 2000 100.74
378 IBM Aug 2000 118.62
379 IBM Sep 2000 101.19
380 IBM Oct 2000 88.5
381 IBM Nov 2000 84.12
382 IBM Dec 2000 76.47
383 IBM Jan 2001 100.76
384 IBM Feb 2001 89.98
385 IBM Mar 2001 86.63
386 IBM Apr 2001 103.7
387 IBM May 2001 100.82
388 IBM Jun 2001 102.35
389 IBM Jul 2001 94.87
390 IBM Aug 2001 90.25
391 IBM Sep 2001 82.82
392 IBM Oct 2001 97.58
393 IBM Nov 2001 104.5
394 IBM Dec 2001 109.36
395 IBM Jan 2002 97.54
396 IBM Feb 2002 88.82
397 IBM Mar 2002 94.15
398 IBM Apr 2002 75.82
399 IBM May 2002 72.97
400 IBM Jun 2002 65.31
401 IBM Jul 2002 63.86
402 IBM Aug 2002 68.52
403 IBM Sep 2002 53.01
404 IBM Oct 2002 71.76
405 IBM Nov 2002 79.16
406 IBM Dec 2002 70.58
407 IBM Jan 2003 71.22
408 IBM Feb 2003 71.13
409 IBM Mar 2003 71.57
410 IBM Apr 2003 77.47
411 IBM May 2003 80.48
412 IBM Jun 2003 75.42
413 IBM Jul 2003 74.28
414 IBM Aug 2003 75.12
415 IBM Sep 2003 80.91
416 IBM Oct 2003 81.96
417 IBM Nov 2003 83.08
418 IBM Dec 2003 85.05
419 IBM Jan 2004 91.06
420 IBM Feb 2004 88.7
421 IBM Mar 2004 84.41
422 IBM Apr 2004 81.04
423 IBM May 2004 81.59
424 IBM Jun 2004 81.19
425 IBM Jul 2004 80.19
426 IBM Aug 2004 78.17
427 IBM Sep 2004 79.13
428 IBM Oct 2004 82.84
429 IBM Nov 2004 87.15
430 IBM Dec 2004 91.16
431 IBM Jan 2005 86.39
432 IBM Feb 2005 85.78
433 IBM Mar 2005 84.66
434 IBM Apr 2005 70.77
435 IBM May 2005 70.18
436 IBM Jun 2005 68.93
437 IBM Jul 2005 77.53
438 IBM Aug 2005 75.07
439 IBM Sep 2005 74.7
440 IBM Oct 2005 76.25
441 IBM Nov 2005 82.98
442 IBM Dec 2005 76.73
443 IBM Jan 2006 75.89
444 IBM Feb 2006 75.09
445 IBM Mar 2006 77.17
446 IBM Apr 2006 77.05
447 IBM May 2006 75.04
448 IBM Jun 2006 72.15
449 IBM Jul 2006 72.7
450 IBM Aug 2006 76.35
451 IBM Sep 2006 77.26
452 IBM Oct 2006 87.06
453 IBM Nov 2006 86.95
454 IBM Dec 2006 91.9
455 IBM Jan 2007 93.79
456 IBM Feb 2007 88.18
457 IBM Mar 2007 89.44
458 IBM Apr 2007 96.98
459 IBM May 2007 101.54
460 IBM Jun 2007 100.25
461 IBM Jul 2007 105.4
462 IBM Aug 2007 111.54
463 IBM Sep 2007 112.6
464 IBM Oct 2007 111
465 IBM Nov 2007 100.9
466 IBM Dec 2007 103.7
467 IBM Jan 2008 102.75
468 IBM Feb 2008 109.64
469 IBM Mar 2008 110.87
470 IBM Apr 2008 116.23
471 IBM May 2008 125.14
472 IBM Jun 2008 114.6
473 IBM Jul 2008 123.74
474 IBM Aug 2008 118.16
475 IBM Sep 2008 113.53
476 IBM Oct 2008 90.24
477 IBM Nov 2008 79.65
478 IBM Dec 2008 82.15
479 IBM Jan 2009 89.46
480 IBM Feb 2009 90.32
481 IBM Mar 2009 95.09
482 IBM Apr 2009 101.29
483 IBM May 2009 104.85
484 IBM Jun 2009 103.01
485 IBM Jul 2009 116.34
486 IBM Aug 2009 117
487 IBM Sep 2009 118.55
488 IBM Oct 2009 119.54
489 IBM Nov 2009 125.79
490 IBM Dec 2009 130.32
491 IBM Jan 2010 121.85
492 IBM Feb 2010 127.16
493 IBM Mar 2010 125.55
494 GOOG Aug 2004 102.37
495 GOOG Sep 2004 129.6
496 GOOG Oct 2004 190.64
497 GOOG Nov 2004 181.98
498 GOOG Dec 2004 192.79
499 GOOG Jan 2005 195.62
500 GOOG Feb 2005 187.99
501 GOOG Mar 2005 180.51
502 GOOG Apr 2005 220
503 GOOG May 2005 277.27
504 GOOG Jun 2005 294.15
505 GOOG Jul 2005 287.76
506 GOOG Aug 2005 286
507 GOOG Sep 2005 316.46
508 GOOG Oct 2005 372.14
509 GOOG Nov 2005 404.91
510 GOOG Dec 2005 414.86
511 GOOG Jan 2006 432.66
512 GOOG Feb 2006 362.62
513 GOOG Mar 2006 390
514 GOOG Apr 2006 417.94
515 GOOG May 2006 371.82
516 GOOG Jun 2006 419.33
517 GOOG Jul 2006 386.6
518 GOOG Aug 2006 378.53
519 GOOG Sep 2006 401.9
520 GOOG Oct 2006 476.39
521 GOOG Nov 2006 484.81
522 GOOG Dec 2006 460.48
523 GOOG Jan 2007 501.5
524 GOOG Feb 2007 449.45
525 GOOG Mar 2007 458.16
526 GOOG Apr 2007 471.38
527 GOOG May 2007 497.91
528 GOOG Jun 2007 522.7
529 GOOG Jul 2007 510
530 GOOG Aug 2007 515.25
531 GOOG Sep 2007 567.27
532 GOOG Oct 2007 707
533 GOOG Nov 2007 693
534 GOOG Dec 2007 691.48
535 GOOG Jan 2008 564.3
536 GOOG Feb 2008 471.18
537 GOOG Mar 2008 440.47
538 GOOG Apr 2008 574.29
539 GOOG May 2008 585.8
540 GOOG Jun 2008 526.42
541 GOOG Jul 2008 473.75
542 GOOG Aug 2008 463.29
543 GOOG Sep 2008 400.52
544 GOOG Oct 2008 359.36
545 GOOG Nov 2008 292.96
546 GOOG Dec 2008 307.65
547 GOOG Jan 2009 338.53
548 GOOG Feb 2009 337.99
549 GOOG Mar 2009 348.06
550 GOOG Apr 2009 395.97
551 GOOG May 2009 417.23
552 GOOG Jun 2009 421.59
553 GOOG Jul 2009 443.05
554 GOOG Aug 2009 461.67
555 GOOG Sep 2009 495.85
556 GOOG Oct 2009 536.12
557 GOOG Nov 2009 583
558 GOOG Dec 2009 619.98
559 GOOG Jan 2010 529.94
560 GOOG Feb 2010 526.8
561 GOOG Mar 2010 560.19
562 10 Year T-Note Jan 2000 6.67
563 10 Year T-Note Feb 2000 6.41
564 10 Year T-Note Mar 2000 6.02
565 10 Year T-Note Apr 2000 6.21
566 10 Year T-Note May 2000 6.28
567 10 Year T-Note Jun 2000 6.02
568 10 Year T-Note Jul 2000 6.03
569 10 Year T-Note Aug 2000 5.73
570 10 Year T-Note Sep 2000 5.78
571 10 Year T-Note Oct 2000 5.76
572 10 Year T-Note Nov 2000 5.44
573 10 Year T-Note Dec 2000 5.11
574 10 Year T-Note Jan 2001 5.18
575 10 Year T-Note Feb 2001 4.91
576 10 Year T-Note Mar 2001 4.91
577 10 Year T-Note Apr 2001 5.34
578 10 Year T-Note May 2001 5.41
579 10 Year T-Note Jun 2001 5.39
580 10 Year T-Note Jul 2001 5.04
581 10 Year T-Note Aug 2001 4.82
582 10 Year T-Note Sep 2001 4.57
583 10 Year T-Note Oct 2001 4.26
584 10 Year T-Note Nov 2001 4.74
585 10 Year T-Note Dec 2001 5.03
586 10 Year T-Note Jan 2002 5.03
587 10 Year T-Note Feb 2002 4.86
588 10 Year T-Note Mar 2002 5.41
589 10 Year T-Note Apr 2002 5.09
590 10 Year T-Note May 2002 5.04
591 10 Year T-Note Jun 2002 4.82
592 10 Year T-Note Jul 2002 4.47
593 10 Year T-Note Aug 2002 4.14
594 10 Year T-Note Sep 2002 3.61
595 10 Year T-Note Oct 2002 3.91
596 10 Year T-Note Nov 2002 4.21
597 10 Year T-Note Dec 2002 3.82
598 10 Year T-Note Jan 2003 3.97
599 10 Year T-Note Feb 2003 3.7
600 10 Year T-Note Mar 2003 3.82
601 10 Year T-Note Apr 2003 3.86
602 10 Year T-Note May 2003 3.35
603 10 Year T-Note Jun 2003 3.53
604 10 Year T-Note Jul 2003 4.47
605 10 Year T-Note Aug 2003 4.45
606 10 Year T-Note Sep 2003 3.94
607 10 Year T-Note Oct 2003 4.3
608 10 Year T-Note Nov 2003 4.32
609 10 Year T-Note Dec 2003 4.26
610 10 Year T-Note Jan 2004 4.14
611 10 Year T-Note Feb 2004 3.98
612 10 Year T-Note Mar 2004 3.84
613 10 Year T-Note Apr 2004 4.5
614 10 Year T-Note May 2004 4.66
615 10 Year T-Note Jun 2004 4.62
616 10 Year T-Note Jul 2004 4.47
617 10 Year T-Note Aug 2004 4.13
618 10 Year T-Note Sep 2004 4.12
619 10 Year T-Note Oct 2004 4.03
620 10 Year T-Note Nov 2004 4.36
621 10 Year T-Note Dec 2004 4.22
622 10 Year T-Note Jan 2005 4.13
623 10 Year T-Note Feb 2005 4.36
624 10 Year T-Note Mar 2005 4.5
625 10 Year T-Note Apr 2005 4.2
626 10 Year T-Note May 2005 4.01
627 10 Year T-Note Jun 2005 3.94
628 10 Year T-Note Jul 2005 4.29
629 10 Year T-Note Aug 2005 4.02
630 10 Year T-Note Sep 2005 4.33
631 10 Year T-Note Oct 2005 4.56
632 10 Year T-Note Nov 2005 4.5
633 10 Year T-Note Dec 2005 4.39
634 10 Year T-Note Jan 2006 4.53
635 10 Year T-Note Feb 2006 4.55
636 10 Year T-Note Mar 2006 4.85
637 10 Year T-Note Apr 2006 5.07
638 10 Year T-Note May 2006 5.11
639 10 Year T-Note Jun 2006 5.14
640 10 Year T-Note Jul 2006 4.99
641 10 Year T-Note Aug 2006 4.73
642 10 Year T-Note Sep 2006 4.63
643 10 Year T-Note Oct 2006 4.61
644 10 Year T-Note Nov 2006 4.46
645 10 Year T-Note Dec 2006 4.71
646 10 Year T-Note Jan 2007 4.83
647 10 Year T-Note Feb 2007 4.55
648 10 Year T-Note Mar 2007 4.65
649 10 Year T-Note Apr 2007 4.63
650 10 Year T-Note May 2007 4.89
651 10 Year T-Note Jun 2007 5.03
652 10 Year T-Note Jul 2007 4.77
653 10 Year T-Note Aug 2007 4.54
654 10 Year T-Note Sep 2007 4.58
655 10 Year T-Note Oct 2007 4.47
656 10 Year T-Note Nov 2007 3.97
657 10 Year T-Note Dec 2007 4.03
658 10 Year T-Note Jan 2008 3.64
659 10 Year T-Note Feb 2008 3.53
660 10 Year T-Note Mar 2008 3.43
661 10 Year T-Note Apr 2008 3.76
662 10 Year T-Note May 2008 4.05
663 10 Year T-Note Jun 2008 3.98
664 10 Year T-Note Jul 2008 3.98
665 10 Year T-Note Aug 2008 3.81
666 10 Year T-Note Sep 2008 3.83
667 10 Year T-Note Oct 2008 3.97
668 10 Year T-Note Nov 2008 2.96
669 10 Year T-Note Dec 2008 2.24
670 10 Year T-Note Jan 2009 2.84
671 10 Year T-Note Feb 2009 3.04
672 10 Year T-Note Mar 2009 2.68
673 10 Year T-Note Apr 2009 3.12
674 10 Year T-Note May 2009 3.46
675 10 Year T-Note Jun 2009 3.52
676 10 Year T-Note Jul 2009 3.5
677 10 Year T-Note Aug 2009 3.4
678 10 Year T-Note Sep 2009 3.31
679 10 Year T-Note Oct 2009 3.39
680 10 Year T-Note Nov 2009 3.2
681 10 Year T-Note Dec 2009 3.84
682 10 Year T-Note Jan 2010 3.61
683 10 Year T-Note Feb 2010 3.6
684 10 Year T-Note Mar 2010 3.7
685 AAPL Jan 2000 25.94
686 AAPL Feb 2000 28.66
687 AAPL Mar 2000 33.95
688 AAPL Apr 2000 31.01
689 AAPL May 2000 21
690 AAPL Jun 2000 26.19
691 AAPL Jul 2000 25.41
692 AAPL Aug 2000 30.47
693 AAPL Sep 2000 12.88
694 AAPL Oct 2000 9.78
695 AAPL Nov 2000 8.25
696 AAPL Dec 2000 7.44
697 AAPL Jan 2001 10.81
698 AAPL Feb 2001 9.12
699 AAPL Mar 2001 11.03
700 AAPL Apr 2001 12.74
701 AAPL May 2001 9.98
702 AAPL Jun 2001 11.62
703 AAPL Jul 2001 9.4
704 AAPL Aug 2001 9.27
705 AAPL Sep 2001 7.76
706 AAPL Oct 2001 8.78
707 AAPL Nov 2001 10.65
708 AAPL Dec 2001 10.95
709 AAPL Jan 2002 12.36
710 AAPL Feb 2002 10.85
711 AAPL Mar 2002 11.84
712 AAPL Apr 2002 12.14
713 AAPL May 2002 11.65
714 AAPL Jun 2002 8.86
715 AAPL Jul 2002 7.63
716 AAPL Aug 2002 7.38
717 AAPL Sep 2002 7.25
718 AAPL Oct 2002 8.03
719 AAPL Nov 2002 7.75
720 AAPL Dec 2002 7.16
721 AAPL Jan 2003 7.18
722 AAPL Feb 2003 7.51
723 AAPL Mar 2003 7.07
724 AAPL Apr 2003 7.11
725 AAPL May 2003 8.98
726 AAPL Jun 2003 9.53
727 AAPL Jul 2003 10.54
728 AAPL Aug 2003 11.31
729 AAPL Sep 2003 10.36
730 AAPL Oct 2003 11.44
731 AAPL Nov 2003 10.45
732 AAPL Dec 2003 10.69
733 AAPL Jan 2004 11.28
734 AAPL Feb 2004 11.96
735 AAPL Mar 2004 13.52
736 AAPL Apr 2004 12.89
737 AAPL May 2004 14.03
738 AAPL Jun 2004 16.27
739 AAPL Jul 2004 16.17
740 AAPL Aug 2004 17.25
741 AAPL Sep 2004 19.38
742 AAPL Oct 2004 26.2
743 AAPL Nov 2004 33.53
744 AAPL Dec 2004 32.2
745 AAPL Jan 2005 38.45
746 AAPL Feb 2005 44.86
747 AAPL Mar 2005 41.67
748 AAPL Apr 2005 36.06
749 AAPL May 2005 39.76
750 AAPL Jun 2005 36.81
751 AAPL Jul 2005 42.65
752 AAPL Aug 2005 46.89
753 AAPL Sep 2005 53.61
754 AAPL Oct 2005 57.59
755 AAPL Nov 2005 67.82
756 AAPL Dec 2005 71.89
757 AAPL Jan 2006 75.51
758 AAPL Feb 2006 68.49
759 AAPL Mar 2006 62.72
760 AAPL Apr 2006 70.39
761 AAPL May 2006 59.77
762 AAPL Jun 2006 57.27
763 AAPL Jul 2006 67.96
764 AAPL Aug 2006 67.85
765 AAPL Sep 2006 76.98
766 AAPL Oct 2006 81.08
767 AAPL Nov 2006 91.66
768 AAPL Dec 2006 84.84
769 AAPL Jan 2007 85.73
770 AAPL Feb 2007 84.61
771 AAPL Mar 2007 92.91
772 AAPL Apr 2007 99.8
773 AAPL May 2007 121.19
774 AAPL Jun 2007 122.04
775 AAPL Jul 2007 131.76
776 AAPL Aug 2007 138.48
777 AAPL Sep 2007 153.47
778 AAPL Oct 2007 189.95
779 AAPL Nov 2007 182.22
780 AAPL Dec 2007 198.08
781 AAPL Jan 2008 135.36
782 AAPL Feb 2008 125.02
783 AAPL Mar 2008 143.5
784 AAPL Apr 2008 173.95
785 AAPL May 2008 188.75
786 AAPL Jun 2008 167.44
787 AAPL Jul 2008 158.95
788 AAPL Aug 2008 169.53
789 AAPL Sep 2008 113.66
790 AAPL Oct 2008 107.59
791 AAPL Nov 2008 92.67
792 AAPL Dec 2008 85.35
793 AAPL Jan 2009 90.13
794 AAPL Feb 2009 89.31
795 AAPL Mar 2009 105.12
796 AAPL Apr 2009 125.83
797 AAPL May 2009 135.81
798 AAPL Jun 2009 142.43
799 AAPL Jul 2009 163.39
800 AAPL Aug 2009 168.21
801 AAPL Sep 2009 185.35
802 AAPL Oct 2009 188.5
803 AAPL Nov 2009 199.91
804 AAPL Dec 2009 210.73
805 AAPL Jan 2010 192.06
806 AAPL Feb 2010 204.62
807 AAPL Mar 2010 223.02

1709
examples/data/unemployment.csv
Просмотреть файл

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1
examples/data/us-borders.json
Просмотреть файл

@ -1 +0,0 @@
{"30":["38","46","56","16"],"51":["24","37","47","21","54"],"45":["37","13"],"50":["33","25","36"],"19":["27","55","17","29","31","46"],"26":["39","18","55"],"35":["08","40","48","04"],"41":["53","16","32","06"],"04":["35","49","32","06"],"02":[],"25":["33","44","09","36"],"23":["33"],"01":["28","13","12","47"],"06":["41","32","04"],"21":["39","54","51","47","29","17","18"],"22":["05","28","48"],"05":["28","22","48","40","29","47"],"46":["38","27","19","31","56","30"],"47":["21","51","37","13","01","28","05","29"],"08":["35","49","56","31","20","40"],"09":["25","44","36"],"42":["36","34","10","24","54","39"],"29":["19","17","21","47","05","40","20","31"],"40":["20","29","05","48","35","08"],"18":["26","39","21","17"],"27":["55","19","46","38"],"28":["47","01","22","05"],"24":["10","42","54","51","11"],"39":["42","54","21","18","26"],"38":["68","46","30"],"20":["31","29","40","08"],"11":["24","51"],"10":["34","42","24"],"13":["12","01","47","37","45"],"12":["13","01"],"15":[],"48":["27","40","05","22"],"17":["18","21","29","19","55"],"16":["30","56","49","32","41","53"],"55":["26","17","19","27"],"54":["42","24","51","21","39"],"31":["46","19","29","20","08","56"],"56":["30","46","31","08","49","16"],"37":["51","45","13","47"],"36":["50","25","09","34","42"],"53":["16","41"],"34":["36","10","42"],"33":["23","25","50"],"32":["16","49","04","06","41"],"49":["16","56","08","04","32"],"44":["25","09"]}

3186
examples/data/us-counties.json
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Разница между файлами не показана из-за своего большого размера Загрузить разницу

54
examples/data/us-state-centroids.json
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@ -1,54 +0,0 @@
{"type":"FeatureCollection","features":[
{"type":"Feature","id":"01","geometry":{"type":"Point","coordinates":[-86.766233,33.001471]},"properties":{"name":"Alabama","population":4447100}},
{"type":"Feature","id":"02","geometry":{"type":"Point","coordinates":[-148.716968,61.288254]},"properties":{"name":"Alaska","population":626932}},
{"type":"Feature","id":"04","geometry":{"type":"Point","coordinates":[-111.828711,33.373506]},"properties":{"name":"Arizona","population":5130632}},
{"type":"Feature","id":"05","geometry":{"type":"Point","coordinates":[-92.576816,35.080251]},"properties":{"name":"Arkansas","population":2673400}},
{"type":"Feature","id":"06","geometry":{"type":"Point","coordinates":[-119.355165,35.458606]},"properties":{"name":"California","population":33871648}},
{"type":"Feature","id":"08","geometry":{"type":"Point","coordinates":[-105.203628,39.500656]},"properties":{"name":"Colorado","population":4301261}},
{"type":"Feature","id":"09","geometry":{"type":"Point","coordinates":[-72.874365,41.494852]},"properties":{"name":"Connecticut","population":3405565}},
{"type":"Feature","id":"10","geometry":{"type":"Point","coordinates":[-75.561908,39.397164]},"properties":{"name":"Delaware","population":783600}},
{"type":"Feature","id":"11","geometry":{"type":"Point","coordinates":[-77.014001,38.910092]},"properties":{"name":"District of Columbia","population":572059}},
{"type":"Feature","id":"12","geometry":{"type":"Point","coordinates":[-81.634622,27.795850]},"properties":{"name":"Florida","population":15982378}},
{"type":"Feature","id":"13","geometry":{"type":"Point","coordinates":[-83.868887,33.332208]},"properties":{"name":"Georgia","population":8186453}},
{"type":"Feature","id":"15","geometry":{"type":"Point","coordinates":[-157.524452,21.146768]},"properties":{"name":"Hawaii","population":1211537}},
{"type":"Feature","id":"16","geometry":{"type":"Point","coordinates":[-115.133222,44.242605]},"properties":{"name":"Idaho","population":1293953}},
{"type":"Feature","id":"17","geometry":{"type":"Point","coordinates":[-88.380238,41.278216]},"properties":{"name":"Illinois","population":12419293}},
{"type":"Feature","id":"18","geometry":{"type":"Point","coordinates":[-86.261515,40.163935]},"properties":{"name":"Indiana","population":6080485}},
{"type":"Feature","id":"19","geometry":{"type":"Point","coordinates":[-93.049161,41.960392]},"properties":{"name":"Iowa","population":2926324}},
{"type":"Feature","id":"20","geometry":{"type":"Point","coordinates":[-96.536052,38.454303]},"properties":{"name":"Kansas","population":2688418}},
{"type":"Feature","id":"21","geometry":{"type":"Point","coordinates":[-85.241819,37.808159]},"properties":{"name":"Kentucky","population":4041769}},
{"type":"Feature","id":"22","geometry":{"type":"Point","coordinates":[-91.457133,30.699270]},"properties":{"name":"Louisiana","population":4468976}},
{"type":"Feature","id":"23","geometry":{"type":"Point","coordinates":[-69.719931,44.313614]},"properties":{"name":"Maine","population":1274923}},
{"type":"Feature","id":"24","geometry":{"type":"Point","coordinates":[-76.797396,39.145653]},"properties":{"name":"Maryland","population":5296486}},
{"type":"Feature","id":"25","geometry":{"type":"Point","coordinates":[-71.363628,42.271831]},"properties":{"name":"Massachusetts","population":6349097}},
{"type":"Feature","id":"26","geometry":{"type":"Point","coordinates":[-84.170753,42.866412]},"properties":{"name":"Michigan","population":9938444}},
{"type":"Feature","id":"27","geometry":{"type":"Point","coordinates":[-93.583003,45.210782]},"properties":{"name":"Minnesota","population":4919479}},
{"type":"Feature","id":"28","geometry":{"type":"Point","coordinates":[-89.593164,32.566420]},"properties":{"name":"Mississippi","population":2844658}},
{"type":"Feature","id":"29","geometry":{"type":"Point","coordinates":[-92.153770,38.437715]},"properties":{"name":"Missouri","population":5595211}},
{"type":"Feature","id":"30","geometry":{"type":"Point","coordinates":[-111.209708,46.813302]},"properties":{"name":"Montana","population":902195}},
{"type":"Feature","id":"31","geometry":{"type":"Point","coordinates":[-97.403875,41.183753]},"properties":{"name":"Nebraska","population":1711263}},
{"type":"Feature","id":"32","geometry":{"type":"Point","coordinates":[-116.304648,37.165965]},"properties":{"name":"Nevada","population":1998257}},
{"type":"Feature","id":"33","geometry":{"type":"Point","coordinates":[-71.463342,43.153046]},"properties":{"name":"New Hampshire","population":1235786}},
{"type":"Feature","id":"34","geometry":{"type":"Point","coordinates":[-74.428055,40.438458]},"properties":{"name":"New Jersey","population":8414350}},
{"type":"Feature","id":"35","geometry":{"type":"Point","coordinates":[-106.342108,34.623012]},"properties":{"name":"New Mexico","population":1819046}},
{"type":"Feature","id":"36","geometry":{"type":"Point","coordinates":[-74.645228,41.507548]},"properties":{"name":"New York","population":18976457}},
{"type":"Feature","id":"37","geometry":{"type":"Point","coordinates":[-79.667654,35.553334]},"properties":{"name":"North Carolina","population":8049313}},
{"type":"Feature","id":"38","geometry":{"type":"Point","coordinates":[-99.334736,47.375168]},"properties":{"name":"North Dakota","population":642200}},
{"type":"Feature","id":"39","geometry":{"type":"Point","coordinates":[-82.749366,40.480854]},"properties":{"name":"Ohio","population":11353140}},
{"type":"Feature","id":"40","geometry":{"type":"Point","coordinates":[-96.834653,35.597940]},"properties":{"name":"Oklahoma","population":3450654}},
{"type":"Feature","id":"41","geometry":{"type":"Point","coordinates":[-122.579524,44.732273]},"properties":{"name":"Oregon","population":3421399}},
{"type":"Feature","id":"42","geometry":{"type":"Point","coordinates":[-77.075925,40.463528]},"properties":{"name":"Pennsylvania","population":12281054}},
{"type":"Feature","id":"44","geometry":{"type":"Point","coordinates":[-71.448902,41.753318]},"properties":{"name":"Rhode Island","population":1048319}},
{"type":"Feature","id":"45","geometry":{"type":"Point","coordinates":[-81.032387,34.034551]},"properties":{"name":"South Carolina","population":4012012}},
{"type":"Feature","id":"46","geometry":{"type":"Point","coordinates":[-99.043799,44.047502]},"properties":{"name":"South Dakota","population":754844}},
{"type":"Feature","id":"47","geometry":{"type":"Point","coordinates":[-86.397772,35.795862]},"properties":{"name":"Tennessee","population":5689283}},
{"type":"Feature","id":"48","geometry":{"type":"Point","coordinates":[-97.388631,30.943149]},"properties":{"name":"Texas","population":20851820}},
{"type":"Feature","id":"49","geometry":{"type":"Point","coordinates":[-111.900160,40.438987]},"properties":{"name":"Utah","population":2233169}},
{"type":"Feature","id":"50","geometry":{"type":"Point","coordinates":[-72.814309,44.081127]},"properties":{"name":"Vermont","population":608827}},
{"type":"Feature","id":"51","geometry":{"type":"Point","coordinates":[-77.835857,37.750345]},"properties":{"name":"Virginia","population":7078515}},
{"type":"Feature","id":"53","geometry":{"type":"Point","coordinates":[-121.624501,47.341728]},"properties":{"name":"Washington","population":5894121}},
{"type":"Feature","id":"54","geometry":{"type":"Point","coordinates":[-80.820221,38.767195]},"properties":{"name":"West Virginia","population":1808344}},
{"type":"Feature","id":"55","geometry":{"type":"Point","coordinates":[-89.001006,43.728544]},"properties":{"name":"Wisconsin","population":5363675}},
{"type":"Feature","id":"56","geometry":{"type":"Point","coordinates":[-107.008835,42.675762]},"properties":{"name":"Wyoming","population":493782}},
{"type":"Feature","id":"72","geometry":{"type":"Point","coordinates":[-66.58765,18.19958]},"properties":{"code":"PR","name":"Puerto Rico","population":3808610}}
]}

54
examples/data/us-states.json
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Различия файлов скрыты, потому что одна или несколько строк слишком длинны

179
examples/data/world-countries.json
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Различия файлов скрыты, потому что одна или несколько строк слишком длинны

192
examples/horizon/horizon.js
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@ -1,192 +0,0 @@
(function() {
d3.horizon = function() {
var bands = 1, // between 1 and 5, typically
mode = "offset", // or mirror
interpolate = "linear", // or basis, monotone, step-before, etc.
x = d3_horizonX,
y = d3_horizonY,
w = 960,
h = 40,
duration = 0;
var color = d3.scale.linear()
.domain([-1, 0, 1])
.range(["#d62728", "#fff", "#1f77b4"]);
// For each small multiple…
function horizon(g) {
g.each(function(d, i) {
var g = d3.select(this),
n = 2 * bands + 1,
xMin = Infinity,
xMax = -Infinity,
yMax = -Infinity,
x0, // old x-scale
y0, // old y-scale
id; // unique id for paths
// Compute x- and y-values along with extents.
var data = d.map(function(d, i) {
var xv = x.call(this, d, i),
yv = y.call(this, d, i);
if (xv < xMin) xMin = xv;
if (xv > xMax) xMax = xv;
if (-yv > yMax) yMax = -yv;
if (yv > yMax) yMax = yv;
return [xv, yv];
});
// Compute the new x- and y-scales, and transform.
var x1 = d3.scale.linear().domain([xMin, xMax]).range([0, w]),
y1 = d3.scale.linear().domain([0, yMax]).range([0, h * bands]),
t1 = d3_horizonTransform(bands, h, mode);
// Retrieve the old scales, if this is an update.
if (this.__chart__) {
x0 = this.__chart__.x;
y0 = this.__chart__.y;
t0 = this.__chart__.t;
id = this.__chart__.id;
} else {
x0 = x1.copy();
y0 = y1.copy();
t0 = t1;
id = ++d3_horizonId;
}
// We'll use a defs to store the area path and the clip path.
var defs = g.selectAll("defs")
.data([null]);
// The clip path is a simple rect.
defs.enter().append("defs").append("clipPath")
.attr("id", "d3_horizon_clip" + id)
.append("rect")
.attr("width", w)
.attr("height", h);
defs.select("rect").transition()
.duration(duration)
.attr("width", w)
.attr("height", h);
// We'll use a container to clip all horizon layers at once.
g.selectAll("g")
.data([null])
.enter().append("g")
.attr("clip-path", "url(#d3_horizon_clip" + id + ")");
// Instantiate each copy of the path with different transforms.
var path = g.select("g").selectAll("path")
.data(d3.range(-1, -bands - 1, -1).concat(d3.range(1, bands + 1)), Number);
var d0 = d3_horizonArea
.interpolate(interpolate)
.x(function(d) { return x0(d[0]); })
.y0(h * bands)
.y1(function(d) { return h * bands - y0(d[1]); })
(data);
var d1 = d3_horizonArea
.x(function(d) { return x1(d[0]); })
.y1(function(d) { return h * bands - y1(d[1]); })
(data);
path.enter().append("path")
.style("fill", color)
.attr("transform", t0)
.attr("d", d0);
path.transition()
.duration(duration)
.style("fill", color)
.attr("transform", t1)
.attr("d", d1);
path.exit().transition()
.duration(duration)
.attr("transform", t1)
.attr("d", d1)
.remove();
// Stash the new scales.
this.__chart__ = {x: x1, y: y1, t: t1, id: id};
});
d3.timer.flush();
}
horizon.duration = function(x) {
if (!arguments.length) return duration;
duration = +x;
return horizon;
};
horizon.bands = function(x) {
if (!arguments.length) return bands;
bands = +x;
color.domain([-bands, 0, bands]);
return horizon;
};
horizon.mode = function(x) {
if (!arguments.length) return mode;
mode = x + "";
return horizon;
};
horizon.colors = function(x) {
if (!arguments.length) return color.range();
color.range(x);
return horizon;
};
horizon.interpolate = function(x) {
if (!arguments.length) return interpolate;
interpolate = x + "";
return horizon;
};
horizon.x = function(z) {
if (!arguments.length) return x;
x = z;
return horizon;
};
horizon.y = function(z) {
if (!arguments.length) return y;
y = z;
return horizon;
};
horizon.width = function(x) {
if (!arguments.length) return w;
w = +x;
return horizon;
};
horizon.height = function(x) {
if (!arguments.length) return h;
h = +x;
return horizon;
};
return horizon;
};
var d3_horizonArea = d3.svg.area(),
d3_horizonId = 0;
function d3_horizonX(d) {
return d[0];
}
function d3_horizonY(d) {
return d[1];
}
function d3_horizonTransform(bands, h, mode) {
return mode == "offset"
? function(d) { return "translate(0," + (d + (d < 0) - bands) * h + ")"; }
: function(d) { return (d < 0 ? "scale(1,-1)" : "") + "translate(0," + (d - bands) * h + ")"; };
}
})();

1
examples/horizon/unemployment.json
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@ -1 +0,0 @@
{"year":[2000,2000,2000,2000,2000,2000,2000,2000,2000,2000,2000,2000,2001,2001,2001,2001,2001,2001,2001,2001,2001,2001,2001,2001,2002,2002,2002,2002,2002,2002,2002,2002,2002,2002,2002,2002,2003,2003,2003,2003,2003,2003,2003,2003,2003,2003,2003,2003,2004,2004,2004,2004,2004,2004,2004,2004,2004,2004,2004,2004,2005,2005,2005,2005,2005,2005,2005,2005,2005,2005,2005,2005,2006,2006,2006,2006,2006,2006,2006,2006,2006,2006,2006,2006,2007,2007,2007,2007,2007,2007,2007,2007,2007,2007,2007,2007,2008,2008,2008,2008,2008,2008,2008,2008,2008,2008,2008,2008,2009,2009,2009,2009,2009,2009,2009,2009,2009,2009,2009,2009,2010,2010],"month":[1,2,3,4,5,6,7,8,9,10,11,12,1,2,3,4,5,6,7,8,9,10,11,12,1,2,3,4,5,6,7,8,9,10,11,12,1,2,3,4,5,6,7,8,9,10,11,12,1,2,3,4,5,6,7,8,9,10,11,12,1,2,3,4,5,6,7,8,9,10,11,12,1,2,3,4,5,6,7,8,9,10,11,12,1,2,3,4,5,6,7,8,9,10,11,12,1,2,3,4,5,6,7,8,9,10,11,12,1,2,3,4,5,6,7,8,9,10,11,12,1,2],"rate":[4.5,4.4,4.3,3.7,3.8,4.1,4.2,4.1,3.8,3.6,3.7,3.7,4.7,4.6,4.5,4.2,4.1,4.7,4.7,4.9,4.7,5,5.3,5.4,6.3,6.1,6.1,5.7,5.5,6,5.9,5.7,5.4,5.3,5.6,5.7,6.5,6.4,6.2,5.8,5.8,6.5,6.3,6,5.8,5.6,5.6,5.4,6.3,6,6,5.4,5.3,5.8,5.7,5.4,5.1,5.1,5.2,5.1,5.7,5.8,5.4,4.9,4.9,5.2,5.2,4.9,4.8,4.6,4.8,4.6,5.1,5.1,4.8,4.5,4.4,4.8,5,4.6,4.4,4.1,4.3,4.3,5,4.9,4.5,4.3,4.3,4.7,4.9,4.6,4.5,4.4,4.5,4.8,5.4,5.2,5.2,4.8,5.2,5.7,6,6.1,6,6.1,6.5,7.1,8.5,8.9,9,8.6,9.1,9.7,9.7,9.6,9.5,9.5,9.4,9.7,10.6,10.4]}

33
examples/stream/stream_layers.js
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@ -1,33 +0,0 @@
/* Inspired by Lee Byron's test data generator. */
function stream_layers(n, m, o) {
if (arguments.length < 3) o = 0;
function bump(a) {
var x = 1 / (.1 + Math.random()),
y = 2 * Math.random() - .5,
z = 10 / (.1 + Math.random());
for (var i = 0; i < m; i++) {
var w = (i / m - y) * z;
a[i] += x * Math.exp(-w * w);
}
}
return d3.range(n).map(function() {
var a = [], i;
for (i = 0; i < m; i++) a[i] = o + o * Math.random();
for (i = 0; i < 5; i++) bump(a);
return a.map(stream_index);
});
}
/* Another layer generator using gamma distributions. */
function stream_waves(n, m) {
return d3.range(n).map(function(i) {
return d3.range(m).map(function(j) {
var x = 20 * j / m - i / 3;
return 2 * x * Math.exp(-.5 * x);
}).map(stream_index);
});
}
function stream_index(d, i) {
return {x: i, y: Math.max(0, d)};
}

124
examples/zoom/sp500.csv
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@ -1,124 +0,0 @@
date,price
Jan 2000,1394.46
Feb 2000,1366.42
Mar 2000,1498.58
Apr 2000,1452.43
May 2000,1420.6
Jun 2000,1454.6
Jul 2000,1430.83
Aug 2000,1517.68
Sep 2000,1436.51
Oct 2000,1429.4
Nov 2000,1314.95
Dec 2000,1320.28
Jan 2001,1366.01
Feb 2001,1239.94
Mar 2001,1160.33
Apr 2001,1249.46
May 2001,1255.82
Jun 2001,1224.38
Jul 2001,1211.23
Aug 2001,1133.58
Sep 2001,1040.94
Oct 2001,1059.78
Nov 2001,1139.45
Dec 2001,1148.08
Jan 2002,1130.2
Feb 2002,1106.73
Mar 2002,1147.39
Apr 2002,1076.92
May 2002,1067.14
Jun 2002,989.82
Jul 2002,911.62
Aug 2002,916.07
Sep 2002,815.28
Oct 2002,885.76
Nov 2002,936.31
Dec 2002,879.82
Jan 2003,855.7
Feb 2003,841.15
Mar 2003,848.18
Apr 2003,916.92
May 2003,963.59
Jun 2003,974.5
Jul 2003,990.31
Aug 2003,1008.01
Sep 2003,995.97
Oct 2003,1050.71
Nov 2003,1058.2
Dec 2003,1111.92
Jan 2004,1131.13
Feb 2004,1144.94
Mar 2004,1126.21
Apr 2004,1107.3
May 2004,1120.68
Jun 2004,1140.84
Jul 2004,1101.72
Aug 2004,1104.24
Sep 2004,1114.58
Oct 2004,1130.2
Nov 2004,1173.82
Dec 2004,1211.92
Jan 2005,1181.27
Feb 2005,1203.6
Mar 2005,1180.59
Apr 2005,1156.85
May 2005,1191.5
Jun 2005,1191.33
Jul 2005,1234.18
Aug 2005,1220.33
Sep 2005,1228.81
Oct 2005,1207.01
Nov 2005,1249.48
Dec 2005,1248.29
Jan 2006,1280.08
Feb 2006,1280.66
Mar 2006,1294.87
Apr 2006,1310.61
May 2006,1270.09
Jun 2006,1270.2
Jul 2006,1276.66
Aug 2006,1303.82
Sep 2006,1335.85
Oct 2006,1377.94
Nov 2006,1400.63
Dec 2006,1418.3
Jan 2007,1438.24
Feb 2007,1406.82
Mar 2007,1420.86
Apr 2007,1482.37
May 2007,1530.62
Jun 2007,1503.35
Jul 2007,1455.27
Aug 2007,1473.99
Sep 2007,1526.75
Oct 2007,1549.38
Nov 2007,1481.14
Dec 2007,1468.36
Jan 2008,1378.55
Feb 2008,1330.63
Mar 2008,1322.7
Apr 2008,1385.59
May 2008,1400.38
Jun 2008,1280
Jul 2008,1267.38
Aug 2008,1282.83
Sep 2008,1166.36
Oct 2008,968.75
Nov 2008,896.24
Dec 2008,903.25
Jan 2009,825.88
Feb 2009,735.09
Mar 2009,797.87
Apr 2009,872.81
May 2009,919.14
Jun 2009,919.32
Jul 2009,987.48
Aug 2009,1020.62
Sep 2009,1057.08
Oct 2009,1036.19
Nov 2009,1095.63
Dec 2009,1115.1
Jan 2010,1073.87
Feb 2010,1104.49
Mar 2010,1140.45
1 date price
2 Jan 2000 1394.46
3 Feb 2000 1366.42
4 Mar 2000 1498.58
5 Apr 2000 1452.43
6 May 2000 1420.6
7 Jun 2000 1454.6
8 Jul 2000 1430.83
9 Aug 2000 1517.68
10 Sep 2000 1436.51
11 Oct 2000 1429.4
12 Nov 2000 1314.95
13 Dec 2000 1320.28
14 Jan 2001 1366.01
15 Feb 2001 1239.94
16 Mar 2001 1160.33
17 Apr 2001 1249.46
18 May 2001 1255.82
19 Jun 2001 1224.38
20 Jul 2001 1211.23
21 Aug 2001 1133.58
22 Sep 2001 1040.94
23 Oct 2001 1059.78
24 Nov 2001 1139.45
25 Dec 2001 1148.08
26 Jan 2002 1130.2
27 Feb 2002 1106.73
28 Mar 2002 1147.39
29 Apr 2002 1076.92
30 May 2002 1067.14
31 Jun 2002 989.82
32 Jul 2002 911.62
33 Aug 2002 916.07
34 Sep 2002 815.28
35 Oct 2002 885.76
36 Nov 2002 936.31
37 Dec 2002 879.82
38 Jan 2003 855.7
39 Feb 2003 841.15
40 Mar 2003 848.18
41 Apr 2003 916.92
42 May 2003 963.59
43 Jun 2003 974.5
44 Jul 2003 990.31
45 Aug 2003 1008.01
46 Sep 2003 995.97
47 Oct 2003 1050.71
48 Nov 2003 1058.2
49 Dec 2003 1111.92
50 Jan 2004 1131.13
51 Feb 2004 1144.94
52 Mar 2004 1126.21
53 Apr 2004 1107.3
54 May 2004 1120.68
55 Jun 2004 1140.84
56 Jul 2004 1101.72
57 Aug 2004 1104.24
58 Sep 2004 1114.58
59 Oct 2004 1130.2
60 Nov 2004 1173.82
61 Dec 2004 1211.92
62 Jan 2005 1181.27
63 Feb 2005 1203.6
64 Mar 2005 1180.59
65 Apr 2005 1156.85
66 May 2005 1191.5
67 Jun 2005 1191.33
68 Jul 2005 1234.18
69 Aug 2005 1220.33
70 Sep 2005 1228.81
71 Oct 2005 1207.01
72 Nov 2005 1249.48
73 Dec 2005 1248.29
74 Jan 2006 1280.08
75 Feb 2006 1280.66
76 Mar 2006 1294.87
77 Apr 2006 1310.61
78 May 2006 1270.09
79 Jun 2006 1270.2
80 Jul 2006 1276.66
81 Aug 2006 1303.82
82 Sep 2006 1335.85
83 Oct 2006 1377.94
84 Nov 2006 1400.63
85 Dec 2006 1418.3
86 Jan 2007 1438.24
87 Feb 2007 1406.82
88 Mar 2007 1420.86
89 Apr 2007 1482.37
90 May 2007 1530.62
91 Jun 2007 1503.35
92 Jul 2007 1455.27
93 Aug 2007 1473.99
94 Sep 2007 1526.75
95 Oct 2007 1549.38
96 Nov 2007 1481.14
97 Dec 2007 1468.36
98 Jan 2008 1378.55
99 Feb 2008 1330.63
100 Mar 2008 1322.7
101 Apr 2008 1385.59
102 May 2008 1400.38
103 Jun 2008 1280
104 Jul 2008 1267.38
105 Aug 2008 1282.83
106 Sep 2008 1166.36
107 Oct 2008 968.75
108 Nov 2008 896.24
109 Dec 2008 903.25
110 Jan 2009 825.88
111 Feb 2009 735.09
112 Mar 2009 797.87
113 Apr 2009 872.81
114 May 2009 919.14
115 Jun 2009 919.32
116 Jul 2009 987.48
117 Aug 2009 1020.62
118 Sep 2009 1057.08
119 Oct 2009 1036.19
120 Nov 2009 1095.63
121 Dec 2009 1115.1
122 Jan 2010 1073.87
123 Feb 2010 1104.49
124 Mar 2010 1140.45