EU: Spatial model 2014-2015

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    <title>W-PCA Scatterplot Chart</title>
	<meta name="viewport" content="width=device-width, initial-scale=1.0">
    <meta name="description" content="WPCA scatter plot">
    <meta name="author" content="Michal Škop">
	
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    <script src="./d3.scatterplot.js"></script>
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            .perfect {
              stroke: gray;
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              opacity: 0.7;
            }
            #chart {
              padding-top:30px;
            }
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  <body>
    <nav class="navbar navbar-default">
      <div class="container">
        <div class="navbar-header">
          <h2>Spatial distribution of MEPs based on their votes in the 1st year of the 8th term (2014-2015)</h2>
        </div>
      </div>
    </nav>
    <div id="chart"></div>
    <div class="alert alert-info">
      <p>Each bubble represents one MEP.
      <p><a href="https://bl.ocks.org/michalskop/8514867">W-PCA</a> model is used.
      <p>Another file: c2.html (with cutting lines)

d3.csv("chart_data.csv", function(voters) {
    //d3.csv("cutting_lines_ten.csv", function(lines) {
        /*linesselected = [];
        for (k in lines) {
          if ((parseFloat(lines[k]['loss']) < 1.5) && (parseFloat(lines[k]['cl_beta0']) < 50)) {
              beta = [lines[k]['normal_x'],lines[k]['normal_y']];
              beta0 = lines[k]['cl_beta0'];
              if (beta[1] != 0) {
                lines[k]['a'] = -beta0/beta[1];
                lines[k]['b'] = -beta[0]/beta[1];
              } else {
                lines[k]['a'] = 0;
                lines[k]['b'] = 0;
              }
              //add class for a perfect cut:
              if (lines[k]['loss'] == 0) {
                lines[k]['class'] = 'perfect';
              } else {
                lines[k]['class'] = 'non-perfect';
              }
              lines[k]['name'] = lines[k]["motion:name"];
              linesselected.push(lines[k]);
          }
        }*/

spdata = [];
        voters.forEach(function(d) {
          spdata.push({"x":d["wpca:d1"],"y":d["wpca:d2"],"r":d["r"],"color":d["color"],"name":d["name"],"opacity":d["opacity"], "party": d["party"], "country": d["country"]})
        });
        var scatterplotwithlineplot = [{
          "data": spdata,
          "margin": {top: 10, right: 10, bottom: 30, left: 30},
          "axes": {"labels":{"x":"DIM 1", "y":"DIM 2"}},
          "minmax":{"x":{'min':-1,'max':1},"y":{'min':-1,'max':1},"r":{'min':0,'max':1},"rrange":{'min':0,'max':100}},
          "size":{"width":500,"height":500}//,
          //"lines": linesselected
        }];

var svg = d3.select("#chart")
            .append("svg")
            .attr("width",scatterplotwithlineplot[0]['size']['width'])
            .attr("height",scatterplotwithlineplot[0]['size']['height']);
            
        /* Initialize tooltip */
        tip = d3.tip().attr('class', 'd3-tip').html(function(d) { 
          return "<span class=\'stronger\'>" + d["name"] + "</span><br>" + d["party"] + "<br>" + d["country"];
        });

/* Invoke the tip in the context of your visualization */
        svg.call(tip)

var sp = d3.scatterplotwithlineplot()
            .data(function(d) {return d.data})
            .margin(function(d) {return d.margin})
            .axes(function(d) {return d.axes})
            .minmax(function(d) {return d.minmax})
            .size(function(d) {return d.size})
            //.lines(function(d) {return d.lines})

var scatter = svg.selectAll(".scatterplot")
            .data(scatterplotwithlineplot)
          .enter()
            .append("svg:g")
            .attr("transform", "translate(" + scatterplotwithlineplot[0].margin.left + "," + scatterplotwithlineplot[0].margin.top + ")")
            .call(sp);
    //})
})
</script>
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Modified http://d3js.org/d3.v3.min.js to a secure url

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