A static beeswarm plot implemented using d3-force’s collision constraint. A Voronoi overlay improves hover interaction.
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November 4, 2019 15:50
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Beeswarm
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license: mit |
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<!DOCTYPE html> | |
<meta charset="utf-8"> | |
<style> | |
.axis path, | |
.axis line { | |
fill: none; | |
stroke: #000; | |
shape-rendering: crispEdges; | |
} | |
.axis text { | |
font: 10px sans-serif; | |
} | |
.cells path { | |
fill: none; | |
pointer-events: all; | |
} | |
.cells circle { | |
stroke-width:.5; | |
} | |
svg .annotation { | |
stroke-dasharray:4; | |
stroke:gray; | |
} | |
</style> | |
<svg id="facilityScores" width="100%" height="100"></svg> | |
<script src="https://d3js.org/d3.v4.min.js"></script> | |
<script> | |
var scores = [ | |
{"value":4},{"value":6},{"value":520},{"value":3},{"value":10},{"value":3} | |
] | |
var score = 520; | |
var scoreSvg = d3.select("#facilityScores") | |
var drawScoreChart = function(){ | |
var margin = {top: 40, right: 40, bottom: 40, left: 40}, | |
height = scoreSvg.attr("height") - margin.top - margin.bottom; | |
var formatValue = d3.format(",d"); | |
var max = d3.max(scores, function(d){return d.value;}); | |
var colorScale = d3.scaleLinear().domain([-20,520]).range(['#fff', '#a51b02']); | |
scoreSvg.selectAll("*").remove(); | |
var width = parseInt(scoreSvg.style('width')) - margin.left - margin.right; | |
var x = d3.scaleLinear() | |
.rangeRound([0, width]); | |
var g = scoreSvg.append("g") | |
.attr("transform", "translate(" + margin.left + "," + margin.top + ")"); | |
x.domain(d3.extent(scores, function(d) { return d.value; })); | |
var simulation = d3.forceSimulation(scores) | |
.force("x", d3.forceX(function(d) { return x(d.value); }).strength(3)) | |
.force("y", d3.forceY(height / 2)) | |
.force("collide", d3.forceCollide(4)) | |
.stop(); | |
for (var i = 0; i < 120; ++i) simulation.tick(); | |
var cell = g.append("g") | |
.attr("class", "cells") | |
.selectAll("g").data(d3.voronoi() | |
.extent([[-margin.left, -margin.top], [width + margin.right, height + margin.top]]) | |
.x(function(d) { return d.x; }) | |
.y(function(d) { return d.y; }) | |
.polygons(scores)).enter().append("g"); | |
cell.append("circle") | |
.attr("r", 3.5) | |
.attr("cx", function(d) { return d.data.x; }) | |
.attr("cy", function(d) { | |
return d.data.y; }) | |
.style("fill",function(d){ | |
return colorScale(d.data.value); | |
}).style( | |
"stroke","lightgray" | |
); | |
cell.append("path") | |
.attr("d", function(d) { return "M" + d.join("L") + "Z"; }); | |
g.append("line") | |
.attr("x1", function(d){ | |
return x(score) | |
}) | |
.attr("y1", -10) | |
.attr("x2", function(d){ | |
return x(score) | |
}) | |
.attr("y2", height) | |
.attr("class","annotation") | |
.style("stroke","black") | |
} | |
d3.select(window).on('resize', drawScoreChart); | |
drawScoreChart(); | |
</script> |
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