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Last active December 26, 2017 04:22
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Zoomable Unilevel Partition
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README.md

I modified Mike Bostock's Bilevel Partition so that only one level is viewable at a time and added labels.
This visualization also accepts negative values in the data, and displays them in Red color. The positive values are displayed in Green color Click on any arc to zoom in. Click in the center to zoom out.

Raw
index.html
<!DOCTYPE html>
<meta charset="utf-8">
<head>
<title> Zoomable Unilevel Partition </title>
<style>
#SD {
color: white;
font-family: sans-serif;
z-index:100;
position:absolute;
top:350px;
left:480px;
}
</style>
</head>
<div id = "SD"></div>
<div id="body"></div>
<script src="http://apoorvnandan.github.io/unilevelpartition/jquery.js"></script>
<script src="http://apoorvnandan.github.io/unilevelpartition/d3.js"></script>
<script type="text/javascript">
//DATA FOR THE VISUALIZATION
var x=[
["APAC", 1, "SEA", 1, "POD1", 0.15],
["APAC", 1, "IN", 1, "POD2", -0.5],
["NACE", 0.4, "GB", 1, "POD1", 0.15],
["NACE", 0.4, "DE", 1, "POD2", 0.25],
["NACE", 0.4, "DK", 1, "POD3", 0.2],
["NACE", 0.4, "FR", 1, "POD4", 0.5],
["SEEMEA", 0.3, "IL", 1, "POD1", -0.5],
["SEEMEA", 0.3, "IL", 1, "POD2", -1],
["SEEMEA", 0.3, "IL", 1, "POD3", 0.5],
];
var obj = function(name,x) {
return {"name":name,"size":Math.abs(x),"sign":x,"children":[]};
};
var root = new obj();
root.name = 'Total';
var column = x[0].length;
var row = x.length;
var parent = root;
var temp; var c,r,flag; var temp1,temp2;
for(c=0;c<column-1;c+=2) {
temp = new obj();
temp.name = x[0][c];
temp.sign = x[0][c+1];
temp.size = Math.abs(temp.sign);
parent.children.push(temp);
parent = parent.children[0];
}
for(r=1;r<row;r++) {
parent = root;
for(c=0;c<column-1;c+=2) {
flag=0;
for(d=0;d<parent.children.length;d++) {
if(parent.children[d].name == x[r][c]) {
parent = parent.children[d];
if(c==column-2) {parent.sign+=x[r][c+1]; parent.size += Math.abs(x[r][c+1]);} //line added
flag=1;
}
}
if(flag==0) {
temp = new obj();
{ temp.name = x[r][c]; temp.sign=x[r][c+1]; temp.size = Math.abs(temp.sign);}
parent.children.push(temp);
parent=parent.children[parent.children.length-1];
}
}
}
console.log(root);
root.size=0;
for(var i=0;i<root.children.length;i++) {
root.size+=root.children[i].size;
}
var currentPos = $("#SD").offset().left;
var myColor = d3.scale.linear()
.domain([-1,0,1])
.range(["red","white","green"]);
var margin = {top: 350, right: 480, bottom: 350, left: 480},
radius = Math.min(margin.top, margin.right, margin.bottom, margin.left) - 10;
var svg = d3.select("body").append("svg")
.attr("width", margin.left + margin.right)
.attr("height", margin.top + margin.bottom)
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
var partition = d3.layout.partition()
.sort(function(a, b) { return d3.ascending(a.name, b.name); })
.size([2 * Math.PI, radius]);
var arc = d3.svg.arc()
.startAngle(function(d) { return d.x; })
.endAngle(function(d) { return d.x + d.dx - .01 / (d.depth + .5); })
.innerRadius(function(d) { return radius / 3 * d.depth; })
.outerRadius(function(d) { return radius / 3 * (d.depth + 1) - 1; });
f();
var level=0;
function f() {
// Compute the initial layout on the entire tree to sum sizes.
// Also compute the full name and fill color for each node,
// and stash the children so they can be restored as we descend.
partition
.value(function(d) { return d.size; })
.nodes(root)
.forEach(function(d) {
d._children = d.children;
d.sum = d.value;
d.key = key(d);
});
// Now redefine the value function to use the previously-computed sum.
partition
.children(function(d, depth) { return depth < 1 ? d._children : null; })
.value(function(d) { return d.size; });
var center = svg.append("circle")
.attr("r", radius / 3)
.on("click", zoomOut);
center.append("title")
.text("zoom out");
var path = svg.selectAll("g")
.data(partition.nodes(root).slice(1))
.enter().append("path")
.attr("d", arc)
.style("fill", function(d) { return myColor(d.sign); })
.each(function(d) { this._current = updateArc(d); })
.on("click", zoomIn);
var g = svg.selectAll("g")
.data(partition.nodes(root).slice(1))
.enter().append("g");
var text = g.append("text")
.attr("transform", function(d) { return "rotate(" + computeTextRotation(d) + ")"; })
.attr("x", function(d) { return (d.y); })
.attr("dx", "6") // margin
.attr("dy", ".35em") // vertical-align
.attr("font-family", "sans-serif")
.text(function(d) {return d.name; });
function computeTextRotation(d) {
return ((d.x + d.dx / 2) - Math.PI / 2) / Math.PI * 180;
}
function zoomIn(p) {g.attr("opacity", 0);
if (p.depth > 1) p = p.parent;
zoom(p, p);
}
function zoomOut(p) {g.attr("opacity", 0);
if (!p.parent) return;
zoom(p.parent, p);
}
// Zoom to the specified new root.
function zoom(root, p) {
if (document.documentElement.__transition__) return;
// Rescale outside angles to match the new layout.
var enterArc,
exitArc,
outsideAngle = d3.scale.linear().domain([0, 2 * Math.PI]);
function insideArc(d) {
return p.key > d.key
? {depth: d.depth - 1, x: 0, dx: 0} : p.key < d.key
? {depth: d.depth - 1, x: 2 * Math.PI, dx: 0}
: {depth: 0, x: 0, dx: 2 * Math.PI};
}
function outsideArc(d) {
return {depth: d.depth + 1, x: outsideAngle(d.x), dx: outsideAngle(d.x + d.dx) - outsideAngle(d.x)};
}
center.datum(root);
// When zooming in, arcs enter from the outside and exit to the inside.
// Entering outside arcs start from the old layout.
if (root === p) { enterArc = outsideArc, exitArc = insideArc, outsideAngle.range([p.x, p.x + p.dx]); }
path = path.data(partition.nodes(root).slice(1), function(d) { return d.key; });
g = g.data(partition.nodes(root).slice(1), function(d) { return d.key; });
// When zooming out, arcs enter from the inside and exit to the outside.
// Exiting outside arcs transition to the new layout.
if (root !== p) enterArc = insideArc, exitArc = outsideArc, outsideAngle.range([p.x, p.x + p.dx]);
d3.transition().duration(d3.event.altKey ? 7500 : 750).each(function() {
path.exit().transition()
.style("fill-opacity", function(d) { return d.depth === 1 + (root === p) ? 1 : 0; })
.attrTween("d", function(d) { return arcTween.call(this, exitArc(d)); })
.remove();
path.enter().append("path")
.style("fill-opacity", function(d) { return d.depth === 2 - (root === p) ? 1 : 0; })
.style("fill", function(d) { return myColor(d.sign); })
.on("click", zoomIn)
.each(function(d) { this._current = enterArc(d); });
g.enter().append("text")
.attr("transform", function(d) { return "rotate(" + computeTextRotation(d) + ")"; })
.attr("x", function(d) { return (d.y); })
.attr("dx", "6") // margin
.attr("dy", ".35em") // vertical-align
.attr("font-family", "sans-serif")
.text(function(d) { return d.name; });
path.transition()
.style("fill-opacity", 1)
.attrTween("d", function(d) { return arcTween.call(this, updateArc(d)); });
});
}
}
function key(d) {
var k = [], p = d;
while (p.depth) k.push(p.name), p = p.parent;
return k.reverse().join(".");
}
function arcTween(b) {
var i = d3.interpolate(this._current, b);
this._current = i(0);
return function(t) {
return arc(i(t));
};
}
function updateArc(d) {
return {depth: d.depth, x: d.x, dx: d.dx};
}
d3.select(self.frameElement).style("height", margin.top + margin.bottom + "px");
</script>
@Baco23
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Baco23 commented Dec 26, 2017

Hello Mr. Apoorv N.,

I'm Marcos, from Brazil and I saw your profile on "freelancer.com".

I need a Recurrent Neural Network to predict the Brazilian stock market (BOVESPA).

Can you build a RNN with a reasonable percentage of accuracy?

Sincerely and awaiting your response,

Antonio Marcos

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