tclem/histogram.html

## histogram.html
<!DOCTYPE html>
<html>
  <head>
    <title>Histogram</title>
    <script type="text/javascript" src="../../d3.js"></script>
    <script type="text/javascript" src="../../d3.layout.js"></script>
    <script type="text/javascript" src="pseudoMathStats.js"></script>
    <script type="text/javascript" src="lhc.js"></script>
    <style type="text/css">

body {
  font: 10px sans-serif;
}

rect {
  fill: steelblue;
  stroke: white;
}

line {
  stroke: black;
  shape-rendering: crispEdges;
}

    </style>
  </head>
  <body>
    <script type="text/javascript">

var histogram = d3.layout.histogram()
    (data);

var x = d3.scale.ordinal()
    .domain(histogram.map(function(d) { return d.x; }))
    .rangeRoundBands([0, w]);

var y = d3.scale.linear()
    .domain([0, d3.max(histogram, function(d) { return d.y; })])
    .range([0, h]);

var vis = d3.select("body").append("svg:svg")
    .attr("width", w)
    .attr("height", h)
  .append("svg:g")
    .attr("transform", "translate(.5)");

vis.selectAll("rect")
    .data(histogram)
  .enter().append("svg:rect")
    .attr("transform", function(d) { return "translate(" + x(d.x) + "," + (h - y(d.y)) + ")"; })
    .attr("width", x.rangeBand())
    .attr("y", function(d) { return y(d.y); })
    .attr("height", 0)
  .transition()
    .duration(750)
    .attr("y", 0)
    .attr("height", function(d) { return y(d.y); });

vis.append("svg:line")
    .attr("x1", 0)
    .attr("x2", w)
    .attr("y1", h)
    .attr("y2", h);

    </script>
  </body>
</html>

## lhc.js
function read(path) {
  // load a whole csv file, and then split it line by line
  console.log('reading cvs file');
  var req = new XMLHttpRequest();
  req.open("GET", path, false);
  req.send("");
  return req.responseText.split(/\n/g).map(function(a){return a.split(/\,/g)});
}

Array.prototype.project = function(col) {
  var res = [];
  var list = this;
  for(var i=0; i < 1000; i++) {
  // for(var i=0; i < list.length; i++) {
    if(i == 0) continue;

    res.push(list[i][col]);
  }
  return res;
}

Array.prototype.each = function(func) {
  var list = this;
  for(var i=0; i < list.length; i++) {
    list[i] = func(list[i]);
  }
}

function normalize(list) {
  list.each(parseFloat);
  var std = list.stdDev();
  var dev = 2 * std;
  console.log(dev);
  return list.filter(function(x){
    if(x > dev) {
      // console.log('filtered out' + x);
      return false;
    }
    return true;
  });
}

// Start Plotting the data
var w = 400,
    h = 400;

var raw = read('../../../public_data/dir_dimuon/dimuon.csv');
console.log(raw[0]);
var e1 = raw.project(3);
console.log('before: ' + e1.length);
e1 = normalize(e1);
console.log('after: ' + e1.length);

//var e2 = raw.project(11);

var data = e1;

## pseudoMathStats.js
function read(path) {
  // load a whole csv file, and then split it line by line
  console.log('reading cvs file');
  var req = new XMLHttpRequest();
  req.open("GET", path, false);
  req.send("");
  return req.responseText.split(/\n/g).map(function(a){return a.split(/\,/g)});
}

Array.prototype.project = function(col) {
  var res = [];
  var list = this;
  for(var i=0; i < 1000; i++) {
  // for(var i=0; i < list.length; i++) {
    if(i == 0) continue;

    res.push(list[i][col]);
  }
  return res;
}

Array.prototype.each = function(func) {
  var list = this;
  for(var i=0; i < list.length; i++) {
    list[i] = func(list[i]);
  }
}

function normalize(list) {
  list.each(parseFloat);
  var std = list.stdDev();
  var dev = 2 * std;
  console.log(dev);
  return list.filter(function(x){
    if(x > dev) {
      // console.log('filtered out' + x);
      return false;
    }
    return true;
  });
}

// Start Plotting the data
var w = 400,
    h = 400;

var raw = read('../../../public_data/dir_dimuon/dimuon.csv');
console.log(raw[0]);
var e1 = raw.project(3);
console.log('before: ' + e1.length);
e1 = normalize(e1);
console.log('after: ' + e1.length);

//var e2 = raw.project(11);

var data = e1;
	<!DOCTYPE html>
	<html>
	<head>
	<title>Histogram</title>
	<script type="text/javascript" src="../../d3.js"></script>
	<script type="text/javascript" src="../../d3.layout.js"></script>
	<script type="text/javascript" src="pseudoMathStats.js"></script>
	<script type="text/javascript" src="lhc.js"></script>
	<style type="text/css">

	body {
	font: 10px sans-serif;
	}

	rect {
	fill: steelblue;
	stroke: white;
	}

	line {
	stroke: black;
	shape-rendering: crispEdges;
	}

	</style>
	</head>
	<body>
	<script type="text/javascript">

	var histogram = d3.layout.histogram()
	(data);

	var x = d3.scale.ordinal()
	.domain(histogram.map(function(d) { return d.x; }))
	.rangeRoundBands([0, w]);

	var y = d3.scale.linear()
	.domain([0, d3.max(histogram, function(d) { return d.y; })])
	.range([0, h]);

	var vis = d3.select("body").append("svg:svg")
	.attr("width", w)
	.attr("height", h)
	.append("svg:g")
	.attr("transform", "translate(.5)");

	vis.selectAll("rect")
	.data(histogram)
	.enter().append("svg:rect")
	.attr("transform", function(d) { return "translate(" + x(d.x) + "," + (h - y(d.y)) + ")"; })
	.attr("width", x.rangeBand())
	.attr("y", function(d) { return y(d.y); })
	.attr("height", 0)
	.transition()
	.duration(750)
	.attr("y", 0)
	.attr("height", function(d) { return y(d.y); });

	vis.append("svg:line")
	.attr("x1", 0)
	.attr("x2", w)
	.attr("y1", h)
	.attr("y2", h);

	</script>
	</body>
	</html>
	function read(path) {
	// load a whole csv file, and then split it line by line
	console.log('reading cvs file');
	var req = new XMLHttpRequest();
	req.open("GET", path, false);
	req.send("");
	return req.responseText.split(/\n/g).map(function(a){return a.split(/\,/g)});
	}

	Array.prototype.project = function(col) {
	var res = [];
	var list = this;
	for(var i=0; i < 1000; i++) {
	// for(var i=0; i < list.length; i++) {
	if(i == 0) continue;

	res.push(list[i][col]);
	}
	return res;
	}

	Array.prototype.each = function(func) {
	var list = this;
	for(var i=0; i < list.length; i++) {
	list[i] = func(list[i]);
	}
	}

	function normalize(list) {
	list.each(parseFloat);
	var std = list.stdDev();
	var dev = 2 * std;
	console.log(dev);
	return list.filter(function(x){
	if(x > dev) {
	// console.log('filtered out' + x);
	return false;
	}
	return true;
	});
	}

	// Start Plotting the data
	var w = 400,
	h = 400;

	var raw = read('../../../public_data/dir_dimuon/dimuon.csv');
	console.log(raw[0]);
	var e1 = raw.project(3);
	console.log('before: ' + e1.length);
	e1 = normalize(e1);
	console.log('after: ' + e1.length);

	//var e2 = raw.project(11);

	var data = e1;