Public
Edited
Sep 19, 2023
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{
const svg = d3.select(DOM.svg(width + margin.left + margin.right, height + margin.left + margin.right));
svg
.append("rect")
.attr("width", "100%")
.attr("height", "100%")
.style("fill", "#F5F5F2");
const voronoi = svg.append("g").attr("transform", "translate(" + margin.left + "," + margin.top + ")");
const labels = svg.append("g").attr("transform", "translate(" + margin.left + "," + margin.top + ")");
const pop_labels = svg.append("g").attr("transform", "translate(" + margin.left + "," + margin.top + ")");
let seed = new Math.seedrandom(20);
let voronoiTreeMap = d3.voronoiTreemap()
.prng(seed)
.clip(ellipse);
voronoiTreeMap(population_hierarchy);
colorHierarchy(population_hierarchy);
let allNodes = population_hierarchy.descendants()
.sort((a, b) => b.depth - a.depth)
.map((d, i) => Object.assign({}, d, {id: i}));
let hoveredShape = null;
//return allNodes;
voronoi.selectAll('path')
.data(allNodes)
.enter()
.append('path')
.attr('d', d => "M" + d.polygon.join("L") + "Z")
.style('fill', d => d.parent ? d.parent.color : d.color)
.attr("stroke", "#F5F5F2")
.attr("stroke-width", 0)
.style('fill-opacity', d => d.depth === 2 ? 1 : 0)
.attr('pointer-events', d => d.depth === 2 ? 'all' : 'none')
.on('mouseenter', d => {
let label = labels.select(`.label-${d.id}`);
label.attr('opacity', 1)
let pop_label = pop_labels.select(`.label-${d.id}`);
pop_label.attr('opacity', 1)
})
.on('mouseleave', d => {
let label = labels.select(`.label-${d.id}`);
label.attr('opacity', d => d.data.num > 3000 ? 1 : 0)
let pop_label = pop_labels.select(`.label-${d.id}`);
pop_label.attr('opacity', d => d.data.num > 3000 ? 1 : 0)
})
.transition()
.duration(1000)
.attr("stroke-width", d => 7 - d.depth*2.8)
.style('fill', d => d.color);
labels.selectAll('text')
.data(allNodes.filter(d => d.depth === 2 ))
.enter()
.append('text')
.attr('class', d => `label-${d.id}`)
.attr('text-anchor', 'middle')
.attr("transform", d => "translate("+[d.polygon.site.x, d.polygon.site.y+6]+")")
.text(d => d.data.key || d.data.group)
//.attr('opacity', d => d.data.key === hoveredShape ? 1 : 0)
.attr('opacity', function(d) {if(d.data.key === hoveredShape){return(1);
}else if(d.data.num > 3000) {
return(1);
}else {return(0);}})
.attr('cursor', 'default')
.attr('pointer-events', 'none')
.attr('fill', 'black')
.style('font-size', '10pt')
//.style('font-family', 'Montserrat');
pop_labels.selectAll('text')
.data(allNodes.filter(d => d.depth === 2 ))
.enter()
.append('text')
.attr('class', d => `label-${d.id}`)
.attr('text-anchor', 'middle')
.attr("transform", d => "translate("+[d.polygon.site.x, d.polygon.site.y+25]+")")
.text(d => bigFormat(d.data.num))
//.attr('opacity', d => d.data.key === hoveredShape ? 1 : 0)
.attr('opacity', function(d) {if(d.data.key === hoveredShape){return(1);
}else if(d.data.num > 3000) {
return(1);
}else {return(0);}})
.attr('cursor', 'default')
.attr('pointer-events', 'none')
.attr('fill', 'black')
.style('font-size', '10pt')
//.style('font-family', 'Montserrat');
return svg.node();
}
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height = 600 - margin.top - margin.bottom
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width = 600 - margin.left - margin.right
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margin = ({top: 20, right: 20, bottom: 50, left: 50})
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bigFormat = d3.format(".2s")
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html`<link href="https://store.typenetwork.com/foundry/fontbureau/series/benton-sans?family=benton-sans-re" rel="stylesheet">`
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ellipse = d3
.range(100)
.map(i => [
(width * (1 + 0.99 * Math.cos((i / 50) * Math.PI))) / 2,
(height * (1 + 0.99 * Math.sin((i / 50) * Math.PI))) / 2
])
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typeColor = function(types) {
var colors = {
"Hispanic/Latino": "#c7d6ee"
};
return colors[types];
}
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function colorHierarchy(hierarchy) {
if(hierarchy.depth === 0) {
hierarchy.color = 'black';
} else if(hierarchy.depth === 1){
hierarchy.color = typeColor(hierarchy.data.key);
} else {
hierarchy.color = hierarchy.parent.color;
}
if(hierarchy.children) {
hierarchy.children.forEach( child => colorHierarchy(child))
}
}
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data = FileAttachment("hispanic2.csv").csv()
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data_nested = {
let type_nest = d3.nest()
.key(d => d.type)
.entries(data)
return {key: "type_nest", values: type_nest}
}
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population_hierarchy = d3.hierarchy(data_nested, d => d.values)
.sum(d => d.num)
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d3 = require("d3@5", "d3-weighted-voronoi", "d3-voronoi-map", "d3-voronoi-treemap", 'seedrandom@2.4.3/seedrandom.min.js')
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import {serialize} from "@ladataviz/saving-csv"
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import { slider, radio, text } from '@jashkenas/inputs'
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