Encircle Scatterplot Matrix Brushing d3v4 [UNLISTED]

mbostock’s Scatterplot Matrix Brushing, ported to d3v4 by @Fil.

The scatterplot matrix visualizations pairwise correlations for multi-dimensional data; each cell in the matrix is a scatterplot. This example uses Anderson's data of iris flowers on the Gaspé Peninsula. Scatterplot matrix design invented by J. A. Hartigan; see also R and GGobi. Data on Iris flowers collected by Edgar Anderson and published by Ronald Fisher.

See also this simpler static version without brushing.

forked from Fil's block: Scatterplot Matrix Brushing d3v4

<!DOCTYPE html>
<meta charset="utf-8">
<style>

svg {
  font: 10px sans-serif;
  padding: 10px;
}

.axis,
.frame {
  shape-rendering: crispEdges;
}

.axis line {
  stroke: #ddd;
}

.axis path {
  display: none;
}

.cell text {
  font-weight: bold;
  text-transform: capitalize;
  fill: black;
}

.frame {
  fill: none;
  stroke: #aaa;
}

circle {
  fill-opacity: .7;
}

circle.hidden {
  fill: #ccc !important;
}

.extent {
  fill: #000;
  fill-opacity: .125;
  stroke: #fff;
}

.contour {
    /*fill: red;*/
    stroke: blue;
    stroke-width: 0.5;
  }
</style>
<body>
<script src="https://d3js.org/d3.v4.min.js"></script>
<script src="https://d3js.org/d3-contour.v1.min.js"></script>
<script>
  
function distance(p, set){
  return Math.sqrt(
    d3.min(set.map(q => {
      var dx = p[0] - q[0],
          dy = p[1] - q[1];
      return dx * dx + dy * dy;
    }))
  );
}
function encircle_path(points, radius) {
  radius = 4;
  var p2 = points.map(d => [d[0] / radius, d[1] / radius])
  var X = d3.extent(p2.map(d => d[0])),
      Y = d3.extent(p2.map(d => d[1])),
      width = Math.ceil(X[1] - X[0]) + 4,
      height = Math.ceil(Y[1] - Y[0]) + 4,
      data = [];

d3.range(width).map(i => d3.range(height).map(j => {
    data[i + width * j] = -distance([i,j], p2);
  }));

var path = d3.geoPath(d3.geoIdentity().scale(radius));
  
  return d3.contours()
    .size([width, height])
    .thresholds([-15/radius])
  (data)
  .map(path);
}
  
  
var width = 960,
    size = 230,
    padding = 20;

var x = d3.scaleLinear()
    .range([padding / 2, size - padding / 2]);

var y = d3.scaleLinear()
    .range([size - padding / 2, padding / 2]);

var xAxis = d3.axisBottom()
    .scale(x)
    .ticks(6);

var yAxis = d3.axisLeft()
    .scale(y)
    .ticks(6);

var color = d3.scaleOrdinal(d3.schemeCategory10);

d3.csv("flowers.csv", function(error, data) {
  if (error) throw error;

var domainByTrait = {},
      traits = d3.keys(data[0]).filter(function(d) { return d !== "species"; }),
      n = traits.length;

traits.forEach(function(trait) {
    domainByTrait[trait] = d3.extent(data, function(d) { return d[trait]; });
  });

xAxis.tickSize(size * n);
  yAxis.tickSize(-size * n);

var brush = d3.brush()
      .on("start", brushstart)
      .on("brush", brushmove)
      .on("end", brushend)
      .extent([[0,0],[size,size]]);

var svg = d3.select("body").append("svg")
      .attr("width", size * n + padding)
      .attr("height", size * n + padding)
    .append("g")
      .attr("transform", "translate(" + padding + "," + padding / 2 + ")");

svg.selectAll(".x.axis")
      .data(traits)
    .enter().append("g")
      .attr("class", "x axis")
      .attr("transform", function(d, i) { return "translate(" + (n - i - 1) * size + ",0)"; })
      .each(function(d) { x.domain(domainByTrait[d]); d3.select(this).call(xAxis); });

svg.selectAll(".y.axis")
      .data(traits)
    .enter().append("g")
      .attr("class", "y axis")
      .attr("transform", function(d, i) { return "translate(0," + i * size + ")"; })
      .each(function(d) { y.domain(domainByTrait[d]); d3.select(this).call(yAxis); });

var cell = svg.selectAll(".cell")
      .data(cross(traits, traits))
    .enter().append("g")
      .attr("class", "cell")
      .attr("transform", function(d) { return "translate(" + (n - d.i - 1) * size + "," + d.j * size + ")"; })
      .each(plot);

// Titles for the diagonal.
  cell.filter(function(d) { return d.i === d.j; }).append("text")
      .attr("x", padding)
      .attr("y", padding)
      .attr("dy", ".71em")
      .text(function(d) { return d.x; });

cell.call(brush);

function plot(p) {
    var cell = d3.select(this);

x.domain(domainByTrait[p.x]);
    y.domain(domainByTrait[p.y]);

cell.append("rect")
        .attr("class", "frame")
        .attr("x", padding / 2)
        .attr("y", padding / 2)
        .attr("width", size - padding)
        .attr("height", size - padding);

cell.selectAll("circle")
        .data(data)
      .enter().append("circle")
        .attr("cx", function(d) { return x(d[p.x]); })
        .attr("cy", function(d) { return y(d[p.y]); })
        .attr("r", 4)
        .style("fill", function(d) { return color(d.species); });

var contours = encircle_path(data.map(d => [x(d[p.x]), y(d[p.y])]), 10);
    cell.selectAll("path.contour")
    .data(contours)
    .enter()
    .append('path')
    .classed("contour", true)
    .attr('d', d => d)
  }

var brushCell;

// Clear the previously-active brush, if any.
  function brushstart(p) {
    if (brushCell !== this) {
      d3.select(brushCell).call(brush.move, null);
      brushCell = this;
    x.domain(domainByTrait[p.x]);
    y.domain(domainByTrait[p.y]);
    }
  }

// Highlight the selected circles.
  function brushmove(p) {
    var e = d3.brushSelection(this);
    svg.selectAll("circle").classed("hidden", function(d) {
      return !e
        ? false
        : (
          e[0][0] > x(+d[p.x]) || x(+d[p.x]) > e[1][0]
          || e[0][1] > y(+d[p.y]) || y(+d[p.y]) > e[1][1]
        );
    });
  }

// If the brush is empty, select all circles.
  function brushend() {
    var e = d3.brushSelection(this);
    if (e === null) svg.selectAll(".hidden").classed("hidden", false);
  }
});

function cross(a, b) {
  var c = [], n = a.length, m = b.length, i, j;
  for (i = -1; ++i < n;) for (j = -1; ++j < m;) c.push({x: a[i], i: i, y: b[j], j: j});
  return c;
}

</script>

https://d3js.org/d3.v4.min.js

https://d3js.org/d3-contour.v1.min.js