Commit 8728e24e authored by Mike Bostock's avatar Mike Bostock
Browse files

Remove cruft.

parent 688da4a8
(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)
];
}
})();
(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;
}
};
})();
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;
}
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
## 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.
[
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
]
This diff is collapsed.
{
"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}
]
},
{
"name": "graph",
"children": [
{"name": "BetweennessCentrality", "size": 3534},
{"name": "LinkDistance", "size": 5731},
{"name": "MaxFlowMinCut", "size": 7840},
{"name": "ShortestPaths", "size": 5914},
{"name": "SpanningTree", "size": 3416}
]
},
{
"name": "optimization",
"children": [
{"name": "AspectRatioBanker", "size": 7074}
]
}
]
},
{
"name": "animate",
"children": [
{"name": "Easing", "size": 17010},
{"name": "FunctionSequence", "size": 5842},
{
"name": "interpolate",
"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}
]
},
{
"name": "display",
"children": [
{"name": "DirtySprite", "size": 8833},
{"name": "LineSprite", "size": 1732},
{"name": "RectSprite", "size": 3623},
{"name": "TextSprite", "size": 10066}
]
},
{
"name": "flex",
"children": [
{"name": "FlareVis", "size": 4116}
]
},
{
"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": [
{"name": "AggregateExpression", "size": 1616},
{"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},