Sha256: 30a956adbbe5161a02e2a3f8f620c826c87d84c3c72e9b35d27555402f926d9a
Contents?: true
Size: 1.68 KB
Versions: 25
Compression:
Stored size: 1.68 KB
Contents
var w = 280,
h = 280,
m = [10, 0, 20, 35], // top right bottom left
n = 10000; // number of samples to generate
var chart = d3.chart.qq()
.width(w)
.height(h)
.domain([-.1, 1.1])
.tickFormat(function(d) { return ~~(d * 100); });
var vis = d3.select("#chart")
.append("svg")
.append("g")
.attr("transform", "translate(" + m[3] + "," + m[0] + ")");
d3.json("turkers.json", function(turkers) {
var tm = science.stats.mean(turkers),
td = Math.sqrt(science.stats.variance(turkers)),
dd = [
[0.10306430789206111, 0.0036139086950272735, 0.30498647327844536],
[0.5924252668569606, 0.0462763685758622, 0.4340870312025223],
[0.9847627827855167, 2.352350767874714e-4, 0.2609264955190324]
];
var g = vis.selectAll("g")
.data([{
x: d3.range(n).map(Math.random),
y: turkers,
label: "Uniform Distribution"
}, {
x: d3.range(n).map(normal1(tm, td)),
y: turkers,
label: "Gaussian (Normal) Distribution"
}, {
x: d3.range(n).map(normal3(dd)),
y: turkers,
label: "Mixture of 3 Gaussians"
}])
.enter().append("g")
.attr("class", "qq")
.attr("transform", function(d, i) { return "translate(" + (w + m[1] + m[3]) * i + ")"; });
g.append("rect")
.attr("class", "box")
.attr("width", w)
.attr("height", h);
g.call(chart);
g.append("text")
.attr("dy", "1.3em")
.attr("dx", ".6em")
.text(function(d) { return d.label; });
chart.duration(1000);
window.transition = function() {
g.map(randomize).call(chart);
};
});
function randomize(d) {
d.y = d3.range(n).map(Math.random);
return d;
}
Version data entries
25 entries across 25 versions & 1 rubygems