Scatterplot of registered unemployment to non contributive pensions with labels

<!DOCTYPE html>
<html lang="en">
<head>
	<meta charset="utf-8">
	<title>Showing the non contributive pensions</title>
	<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;
			}

p.aclariment{
				font-size: 8px;
				font-family: Courier, "Lucida Console", monospace;
			}

svg {
				background-color: white;
			}

circle:hover {
				fill: rgba(205,10,30,0.5);
			}
			
			
			/*.descripcio{
				font-family: Courier, "Lucida Console", monospace;
				font-size: 6px;
			}
			*/

.axis path,
			.axis line {
				fill: none;
				stroke: black;
				shape-rendering: crispEdges;
			}
			
			.axis text {
				font-family: sans-serif;
				font-size: 8px;
			}

.y.axis text{
				font-size: 8px;
			}

</style>
	<script tpye="text/javascript" src="https://d3js.org/d3.v3.js"></script>
</head>

<body>
		<h1>Relació entre la proporció de pensions no contributives i taxa d'atur registrat a les comarques de Catalunya</h1>

<p>Proporció de &ldquo;pensions no contributives&rdquo; cada mil habitants de més de 65 anys a la comarca.</p>
		<p>Taxa d'&ldquo;atur registrat&rdquo; en percentatge.</p>
		 <p> Font: Elaboració pròpia en base a <a href="https://www.idescat.cat/pub/?id=aec&n=254">Idescat</a> i <a href="https://benestar.gencat.cat/ca/serveis/ajuts_i_prestacions_economiques/pensions_no_contributives/">DOG</a></p>

var w = 700;
		var h = 600;
		var padding = [20, 10, 20, 100];
		//Top, right, bottom, left

var formatAsPercentage = d3.format("%");

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);

var yAxis = d3.svg.axis()
					.scale(yScale)
					.orient("left")
					.ticks(5);

yAxis.tickFormat(formatAsPercentage);

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

d3.csv("ddbb_pensions.csv", function(dataset) {
			//console.log(data);

//Here we create a new variable within the dataset
			dataset.forEach(function(d) {d.noncp65 = d.TotalPensions/(d.TotalPob*d.M65/100);});
			dataset.forEach(function(d) {d.regatur = d.Atur/(d.TotalPob*d.D13a65/100);});

//Here we sort the data
			dataset.sort(function(a,b) {return d3.descending(+a.noncp65, +b.noncp65);});

//Here we sort the data with an alternative function
			//dataset.sort(function(a,b) {return b.Njubilacio - a.Njubilacio;});

xScale.domain([
				d3.min(dataset, function(d){return +d.noncp65*1000;}), 
				d3.max(dataset, function(d){return +d.noncp65*1000;}) 
			]);

//heightScale.domain(d3.range(dataset.length));
			yScale.domain([
				d3.max(dataset, function(d){return +d.regatur;})
				, 
				d3.min(dataset, function(d){return +d.regatur;}) 
			]);

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

balls.attr("cx", function(d){
				return xScale(d.noncp65*1000);
			})
				.attr("cy", function(d) {
					return yScale(d.regatur);
				})
				.attr("r", 3) 
					//return d.Njubilacio/(d.Poblacio65/100*d.Poblacio)*10000;
				//.attr("height", heightScale.rangeBand())
				//.attr("fill", function(d) {return "rgb(0, 0, " + Math.round(d.TotalPob/1000) + ")";})
				.attr("fill", function(d) {
					if (d.Comarca==="Catalunya") {
						return "rgb(205, 10, 30)";}
					else 
						{return "steelblue";}
				})
				.append("title")
				//.style("font-size", "6px")
				.text(function(d) {
					return d.Comarca + "'s ratio of non contrib pensionist per 1000 hab over 65 year is " + Math.round(d.noncp65*10000)/10 + " while the rate of registered unemployment is " + Math.round(d.regatur*1000)/10;
				})
				;

svg.append("g")
					.attr("class", "x axis")
					.attr("transform", "translate (0," + (h - padding[2] + 5) + ")")
					.call(xAxis);

svg.append("g")
					.attr("class", "y axis")
					.attr("transform", "translate (" + (padding[3] - 5) + ",0)")
					.call(yAxis);

</script>
		 <p class="aclariment">Els colors blaus més clars indiquen una major població en valor absolut, excepte en el cas de Catalunya que té un color diferent</p>
</body>
</html>

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

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