yassineAlouini/README.md

## README.md

      
    Raw
  

              README.md
            
          
    Built with blockbuilder.org

  
## index.html
<!DOCTYPE html>
<head>
  <meta charset="utf-8">
  <script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.5/d3.min.js"></script>
  <style>

body {
  font: 10px sans-serif;
}

.bar rect {
  fill: #fe3838;
  shape-rendering: crispEdges;
}

.bar text {
  fill: #FFF;
}

.axis path, .axis line, .axis .tick{
  fill: none;
  stroke: #47f6E96;
  shape-rendering: crispEdges;
}

.line {
        fill: none;
        stroke: steelblue;
        stroke-width: 1.5px;
}

  </style>
</head>

<body>
  <script>

// This is inspired from this block: http://bl.ocks.org/mbostock/3048450
// Generate a standard Gaussian distribution.


var myColorPalette = d3.range(samples).map(x => 'red');
var samples = 100000;
var mu = 2, sigma= 1;
var GaussianGenerator = d3.random.normal(mu, sigma)
var GaussianCurve = d3.svg.line()
    .x(function(d) {
        return x(d.x);
    })
    .y(function(d) {
        return y(d.y);
    });
var values = d3.range(samples).map(GaussianGenerator);

// A formatter for counts.
var formatCount = d3.format(",.0f");

// The layout dimensions
var margin = {top: 20, right: 10, bottom: 30, left: 30},
    width = 900 - margin.left - margin.right,
    height = 500 - margin.top - margin.bottom;

// The x scale generator (domain is [-6*sigma, 6*sigma])
var x = d3.scale.linear()
    .domain([-6*sigma, 6*sigma])
    .range([0, width]);

// Generate a histogram using nbins uniformly-spaced bins.
var nbins = 100
var data = d3.layout.histogram().bins(x.ticks(nbins))(values);

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

// Create the x axis and orient it to the bottom
var xAxis = d3.svg.axis()
    					.scale(x)
    					.orient("bottom");

// Create the svg container and place it inside the DOM
var svg = d3.select("body")
		.attr("bgcolor", "#19436E")
		.append("svg")
    .attr("width", width + margin.left + margin.right)
    .attr("height", height + margin.top + margin.bottom)
  	.append("g")
    .attr("transform", "translate(" + margin.left + "," + margin.top +")");


var translate = (function(){
    return function(d) { return "translate(" + x(d.x)+ "," + y(d.y) + ")";}})();

var bar = svg.selectAll(".bar")
    				 .data(data)
  					 .enter()
						 .append("g")
    				 .attr("class", "bar")
    				 .attr("transform", translate);


// Add the histogram rectangles
 bar.append("rect")
    .attr("x", 1)
		.attr("width", 10)
		.attr("height", function(d){return height - y(d.y)})
    .style("fill", function(d){return "#196496"});

// Add the Gaussian curve (doesn't yet work)
/**
    svg.append("path")
    .attr("class", "line")
    .attr("d", GaussianCurve);
*/
// Add the xaxis
svg.append("g")
    .attr("class", "x axis")
    .attr("transform", "translate(0," + height + ")")
    .call(xAxis);


  </script>
</body>
	<!DOCTYPE html>
	<head>
	<meta charset="utf-8">
	<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.5/d3.min.js"></script>
	<style>

	body {
	font: 10px sans-serif;
	}

	.bar rect {
	fill: #fe3838;
	shape-rendering: crispEdges;
	}

	.bar text {
	fill: #FFF;
	}

	.axis path, .axis line, .axis .tick{
	fill: none;
	stroke: #47f6E96;
	shape-rendering: crispEdges;
	}

	.line {
	fill: none;
	stroke: steelblue;
	stroke-width: 1.5px;
	}

	</style>
	</head>

	<body>
	<script>

	// This is inspired from this block: http://bl.ocks.org/mbostock/3048450
	// Generate a standard Gaussian distribution.


	var myColorPalette = d3.range(samples).map(x => 'red');
	var samples = 100000;
	var mu = 2, sigma= 1;
	var GaussianGenerator = d3.random.normal(mu, sigma)
	var GaussianCurve = d3.svg.line()
	.x(function(d) {
	return x(d.x);
	})
	.y(function(d) {
	return y(d.y);
	});
	var values = d3.range(samples).map(GaussianGenerator);

	// A formatter for counts.
	var formatCount = d3.format(",.0f");

	// The layout dimensions
	var margin = {top: 20, right: 10, bottom: 30, left: 30},
	width = 900 - margin.left - margin.right,
	height = 500 - margin.top - margin.bottom;

	// The x scale generator (domain is [-6sigma, 6sigma])
	var x = d3.scale.linear()
	.domain([-6sigma, 6sigma])
	.range([0, width]);

	// Generate a histogram using nbins uniformly-spaced bins.
	var nbins = 100
	var data = d3.layout.histogram().bins(x.ticks(nbins))(values);

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

	// Create the x axis and orient it to the bottom
	var xAxis = d3.svg.axis()
	.scale(x)
	.orient("bottom");

	// Create the svg container and place it inside the DOM
	var svg = d3.select("body")
	.attr("bgcolor", "#19436E")
	.append("svg")
	.attr("width", width + margin.left + margin.right)
	.attr("height", height + margin.top + margin.bottom)
	.append("g")
	.attr("transform", "translate(" + margin.left + "," + margin.top +")");



	var translate = (function(){
	return function(d) { return "translate(" + x(d.x)+ "," + y(d.y) + ")";}})();

	var bar = svg.selectAll(".bar")
	.data(data)
	.enter()
	.append("g")
	.attr("class", "bar")
	.attr("transform", translate);



	// Add the histogram rectangles
	bar.append("rect")
	.attr("x", 1)
	.attr("width", 10)
	.attr("height", function(d){return height - y(d.y)})
	.style("fill", function(d){return "#196496"});

	// Add the Gaussian curve (doesn't yet work)
	/**
	svg.append("path")
	.attr("class", "line")
	.attr("d", GaussianCurve);
	*/
	// Add the xaxis
	svg.append("g")
	.attr("class", "x axis")
	.attr("transform", "translate(0," + height + ")")
	.call(xAxis);


	</script>
	</body>