Knight Datavis Class Assignment 5 - data file has added column from wikipedia, 2 columns have been slightly transformed to be numbers

<!DOCTYPE html>
<html lang="en">
	<head>
		<meta charset="utf-8">
		<title>DataViz class Assignment 5</title>
		<script type="text/javascript" src="https://d3js.org/d3.v3.js"></script>
		<style type="text/css">
			
			body {
				background-color: white;
				font-family: Helvetica, Arial, sans-serif;
			}

h1 {
				font-size: 24px;
				margin: 0;
			}

p {
				font-size: 14px;
				margin: 10px 0 0 0;
			}

svg {
				background-color: white;
			}

circle:hover {
				fill: orange;
			}
			
			.axis path,
			.axis line {
				fill: none;
				stroke: black;
				shape-rendering: crispEdges;
			}
			
			.axis text {
				font-family: sans-serif;
				font-size: 11px;
			}

</style>
	</head>
	<body>

<h1>Module 5 Assignment</h1>

<p>Data used is 2015 Men's NCAA Basketball Championship Odds of Winning Source: <a href="https://github.com/fivethirtyeight/data/blob/master/march-madness-predictions/bracket-00.csv">@FiveThirtyEight</a>, 2015 and <a href="https://en.wikipedia.org/wiki/2015_NCAA_Men%27s_Division_I_Basketball_Tournament#Tournament_seeds">Wikipedia entry</a> for 2015 Men's Basketball Championship to get overall rankings (new column)</p>

var w = 700;
			var h = 600;
			var padding = [ 20, 10, 50, 50 ];  //Top, right, bottom, left

var xScale = d3.scale.linear()
								.range([ padding[3], w - padding[1] - padding[3] ]);
			
			var yScale = d3.scale.linear()
								.range([ padding[0], h - padding[2] ]);

var xAxis = d3.svg.axis()
							.scale(xScale)
							.orient("bottom")
							.ticks(5)
							.tickFormat(function(d) {
								return d + "%";
							});

var yAxis = d3.svg.axis()
							.scale(yScale)
							.orient("left")
							.ticks(15);

var svg = d3.select("body")
						.append("svg")
						.attr("width", w)
						.attr("height", h);

d3.csv("marchmadnesswinningodds.csv", function(data) {

xScale.domain([ 
					d3.min(data, function(d) {
						return +d.rd7_win_num;
					}), 
					d3.max(data, function(d) {
						return +d.rd7_win_num;
					})
				]);

yScale.domain([
					d3.min(data, function(d) {
						return +d.overall_seed;
					}),
					d3.max(data, function(d) {
						return +d.overall_seed;
					})					
				]);

var circles = svg.selectAll("circle")
								.data(data)
								.enter()
								.append("circle");

circles.attr("cx", function(d) {
						return xScale(d.rd7_win_num);
					})
					.attr("cy", function(d) {
						return yScale(d.overall_seed);
					})
					.attr("r", 4)
					.attr("fill", "#007dc1")
					.append("title")
					.text(function(d) {
						return d.team_name + "'s chance of winning is " + d.rd7_win_num + "%, and overall seed is " + d.overall_seed + ".";
					});

svg.append("g")
					.attr("class", "x axis")
					.attr("transform", "translate(0," + (h - padding[2] + 10) + ")")
					.call(xAxis);
				
				// label for x axis
				svg.append("text")
			        .attr("transform", "translate(" + (w / 2) + " ," + (h - 5) + ")")
        			.style("text-anchor", "middle")
        			.text("Percent Chance of Winning");

svg.append("g")
					.attr("class", "y axis")
					.attr("transform", "translate(" + (padding[3] - 10) + ",0)")
					.call(yAxis);

svg.append("text")
			        .attr("transform", "rotate(-90)")
			        .attr("y", 0 - padding[4])
			        .attr("x",0 - (h / 2))
			        .attr("dy", "1em")
			        .style("text-anchor", "middle")
			        .text("Overall Seed");

});

</script>

</body>
</html>

Modified http://d3js.org/d3.v3.js to a secure url

https://d3js.org/d3.v3.js