Prague: spatial distribution 2018-2019

WPCA Analysis of Prague Assembly

2018 - 06/2019

Analysis flow

Raspberry update data: home/pi/project/praha.eu-scraper/scraper.py
update local data: download_datapackage.py
cd /home/michal/dev/wpca/praha_2018-2019/
cp data/votes.csv x_source.csv
correct paths in wpca.py, load_datapackage.py
wpca.py
create/update parties.csv
prepare_chart_data.py

<!DOCTYPE html>
<html lang="en">
  <head>
    <meta charset="utf-8">
    <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">

/* note: we duplicate some of the styles (css, and as attributes of svg elements), so FF displays it correctly, and it is possible to generate png */
			.tick {
			  fill-opacity: 0;
			  stroke: #000000;
			  stroke-width: 1;
			}

.domain {
			    fill: none;
				fill-opacity: 0;
				stroke: black;
				stroke-width: 1;
			}
			.axis line {
				fill: none;
				fill-opacity: 0;
				stroke: black;
				stroke-width: 1;
				shape-rendering: crispEdges;
			}

.axis text {
				font-family: sans-serif;
				font-size: 11px;
				stroke: gray;
			}
			circle:hover {
			  fill-opacity: 1;
			}
			.label {
			  font-family: sans-serif;
			  font-size: 15px;
			}

.d3-tip {
                line-height: 1;
                font-weight: bold;
                padding: 12px;
                background: rgba(0, 0, 0, 0.8);
                color: #fff;
                border-radius: 2px;
                pointer-events: none;
                max-width: 400px;
            }
            /* Creates a small triangle extender for the tooltip */
            .d3-tip:after {
                box-sizing: border-box;
                display: inline;
                font-size: 10px;
                width: 100%;
                line-height: 1;
                color: rgba(0, 0, 0, 0.8);
                position: absolute;
                pointer-events: none;
            }
            /* Northward tooltips */
            .d3-tip:after {
                content: "\25BC";
                margin: -1px 0 0 0;
                top: 100%;
                left: 0;
                text-align: center;
            }
            line {
             stroke:gray;
             stroke-width:0;
             opacity: .3;
            }
            .perfect {
              stroke: gray;
              stroke-width:0;
              opacity: 0.7;
            }
            #chart {
              padding-top:30px;
            }
		</style>
  </head>
  <body>
    <nav class="navbar navbar-default">
      <div class="container">
        <div class="navbar-header">
          <h2>Rozložení zastupitelů v Praze dle svého hlasování (2018-2019)</h2>
        </div>
      </div>
    </nav>
    <div id="chart"></div>
    <div class="alert alert-info">
      <p>Každý bod reprezentuje jednoho zastupitele.
      <p><a href="https://bl.ocks.org/michalskop/8514867">W-PCA</a> model.

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':-1.5,'max':1.5},"y":{'min':-1.5,'max':1.5},"r":{'min':0,'max':1},"rrange":{'min':0,'max':100}},
          "size":{"width":800,"height":800}//,
          //"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"];
        });

/* 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>
  </body>
</html>

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

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