D3 Examples - Scatterplot showing relationship of unemployment rate to non contributive pensions in Catalonia for the period 2000 to 2012.

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<!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;
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            h1 {
                font-size: 24px;
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            p {
                font-size: 14px;
                margin: 10px 0 0 0;
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            p.aclariment{
                font-size: 8px;
                font-family: Courier, "Lucida Console", monospace;
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            svg {
                background-color: white;
            }
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            circle:hover {
                fill: rgba(205,10,30,0.5);
            }
            
            
            /*.descripcio{
                font-family: Courier, "Lucida Console", monospace;
                font-size: 6px;
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            .axis path,
            .axis line {
                fill: none;
                stroke: black;
                shape-rendering: crispEdges;
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            .axis text {
                font-family: sans-serif;
                font-size: 8px;
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            .y.axis text{
                font-size: 8px;
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    </style>
    <script tpye="text/javascript" src="https://d3js.org/d3.v3.js"></script>
</head>
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<body>
        <h1>Relació entre la proporció de pensions no contributives i taxa d'atur registrat a les comarques de Catalunya de 2000 a 2012</h1>
         <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>
​
    <script type="text/javascript">
​
        var w = 700;
        var h = 600;
        var padding = [20, 10, 40, 100];
        //Top, right, bottom, left
​
        var formatAsPercentage = d3.format(".1%");
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        var xScale = d3.scale.linear()
                            .range([padding[3], w - padding[1] - padding[3] ]);
​
        var yScale = d3.scale.linear()
                        .range([padding[0], h - padding[2]]);
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        var xAxis = d3.svg.axis()
                    .scale(xScale)
                    .orient("bottom")
                    .ticks(5);
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        var yAxis = d3.svg.axis()
                    .scale(yScale)
                    .orient("left")
                    .ticks(5);
​
        xAxis.tickFormat(formatAsPercentage);
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        var svg = d3.select("body")
                .append("svg")
                .attr("width", w)
                .attr("height", h);
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        d3.csv("bbddcompleta.csv", function(dataset) {
            //console.log(data);
​
            //Here we create a new variable within the dataset
            dataset.forEach(function(d) {d.noncp65_2012 = d.pensions_2012/(d.pT2012*d.p65_2012/100)*1000;});
            dataset.forEach(function(d) {d.regatur_2012 = d.atur_2012/(d.pT2012*d.p15a64_2012/100);});
            dataset.forEach(function(d) {d.noncp65_2007 = d.pensions_2007/(d.pT2007*d.p65_2007/100)*1000;});
            dataset.forEach(function(d) {d.regatur_2007 = d.atur_2007/(d.pT2007*d.p15a64_2007/100);});
            dataset.forEach(function(d) {d.noncp65_2000 = d.pensions_2000/(d.pT2000*d.p65_2000/100)*1000;});
            dataset.forEach(function(d) {d.regatur_2000 = d.atur_2000/(d.pT2000*d.p15a64_2000/100);});
​
            //Here we sort the data
            dataset.sort(function(a,b) {return d3.descending(+a.noncp65_2000, +b.noncp65_2000);});
​
            //Here we sort the data with an alternative function
            //dataset.sort(function(a,b) {return b.Njubilacio - a.Njubilacio;});
​
            yScale.domain([
                d3.max(dataset, function(d){return +d.noncp65_2000;}), 
                d3.min(dataset, function(d){return +d.noncp65_2012;}) 
            ]);
​
            xScale.domain([
                d3.min(dataset, function(d){return +d.regatur_2007;}), 
                d3.max(dataset, function(d){return +d.regatur_2012;}) 
            ]);
​
​
            var balls = svg.selectAll("circle")
                .data(dataset)
                .enter()
                .append("circle");
​
            balls.attr("cy", function(d){
                return yScale(d.noncp65_2000);
            })
                .attr("cx", function(d) {
                    return xScale(d.regatur_2000);
                })
                .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 "In 2012 " + d.Comarca + "'s ratio of non contrib pensionist per 1000 hab over 65 year was " + Math.round(d.noncp65_2012*10)/10 + " while the rate of registered unemployment was " + Math.round(d.regatur_2012*1000)/10;
                })
                ;
​
                balls.transition().duration(4000)
                .attr("cy", function(d){
                return yScale(d.noncp65_2007);
                })
                .attr("cx", function(d) {
                    return xScale(d.regatur_2007);
                })
                .transition().duration(4000)
                .attr("cy", function(d){
                return yScale(d.noncp65_2012);
                })
                .attr("cx", function(d) {
                    return xScale(d.regatur_2012);
                });
​
​
                svg.append("g")
                    .attr("class", "x axis")
                    .attr("transform", "translate (0," + (h - padding[2] + 5) + ")")
                    .call(xAxis)
                    .append("text")
                    .attr("text-anchor", "middle")
                    .attr("x", w/2)
                    .attr("y", +30)
                    //.attr("transform", "translate (0," + (h - 15) + ")")
                    .text("Atur registrat en percentatge");
​
​
                svg.append("g")
                    .attr("class", "y axis")
                    .attr("transform", "translate (" + (padding[3] - 5) + ",0)")
                    .call(yAxis)
                    .append("text")
                    .attr("text-anchor", "end")
                    .attr("x", -h/2)
                    .attr("y", -padding[2])
                    //.attr("transform", "translate (0," + (h - 15) + ")")
                    .text("Número de pensions no contributives cada 1000 hab de mes de 65 anys")
                    .attr("transform", "rotate(-90)");
​
                /*
                var labels = svg.selectAll("text.circle")
                                .data(dataset)
                                .enter()
                                .append("text")
                                .attr("class", "circle")
                                .text(function(d){
                                    return d.Comarca;
                                });
​
                    labels.attr("x", function(d){
                        return xScale(+d.noncp65)
                    })
                    .attr("y", function(d){
                        return yScale(+d.regatur+0.0005)
                    })
                    .attr("font-family", "sans-serif")
                    .attr("font-size", "8px")
                    .attr("fill", "black");
                */
        });
​
​
    </script>
</body>
</html>
    