I'm a professor of mathematics at the University of North Carolina Asheville. I've also done a fair amount of consulting work over the years focusing on scientific and data visualization.
I'm happy to be part of the first Observable Ambassador's cohort.
Published
Edited
Nov 13, 2020
4 stars
NC Congressional DistrictsTrivariate choropleth for racial composition in the USRacial distribution in NCWNC Zoom3D Choropleth for NC County PopulationsNC CountiesTriangulated Canadian Provinces (separate)Triangulated NC CountiesAn X3D GlobeCanadian Elections 3DWNC SurroundThe new Electoral CollegeElectoral MapGPX rides with Leaflet and OSMOld encoded polyline rides with LeafletGPX rides with Maplibre and MaptilerBuncombe county votingThe NC Congressional redistricting battleHexapolis 538Zillow Home PricesSetting up HexapolisCOVID curvesThirty day Map Challenge - Day 1Simple grid cartogram2020 Census Apportionment TilegramMass shootings in the USHBCUsNC State Legislative Elections 2022Hierarchical Structure of the US RegionsIndigenous territories of the SoutheastD3.force to desired positionPopulation Choropleth for the Contiguous US StatesPlotting a few points on a mapMutliple bubble maps for CSV dataWorld population bubble mapReproductive rights and ... ??Gerrymandering Hexapolis by handVisualizations of gun ownership dataIncome inequality in North Carolina
Electoral Results Tilegram
Also listed in…
hex maps
electoral_tile_map = {
let div = d3
.create('div')
.style("width", `${map_width}px`)
.style("height", `${height}px`)
.style('overflow', 'hidden');
let svg = div
.append('svg')
.style('overflow', 'hidden')
.attr("viewBox", [0, 0, map_width, height]);
let path = d3.geoPath().projection(proj);
let map = svg.append('g');
map
.selectAll("path.tile")
.data(electoral_tiles.tiles.features)
.join("path")
.attr('class', 'tile')
.attr('d', path)
.style("fill", function(d) {
let result = result_map.get(d.properties.name);
if (result == 'R') {
return '#ff3333';
} else if (result == 'D') {
return '#3333ff';
} else {
return '#ccc';
}
})
.attr("stroke-width", '0.8px')
.attr("stroke", function(d) {
return '#000';
})
.attr("stroke-linejoin", "round");
map
.selectAll("path.subtile")
.data(electoral_tiles.maine_nebraska_1)
.join("path")
.attr('class', 'subtile')
.attr('d', path)
.style("fill", function(d) {
let name = d.properties.name;
if (name == 'MAINE') {
return '#ff3333';
} else if (name == "NEBRASKA") {
return '#3333ff';
} else {
return '#aaa';
}
})
.attr("stroke-width", '1px')
.attr("stroke", function(d) {
return '#000';
})
.attr("stroke-linejoin", "round");
map
.selectAll("path.boundary")
.data(electoral_tiles.boundaries.features)
.join("path")
.attr('class', 'boundary')
.attr('d', path)
.style('fill', 'white')
.style("fill-opacity", 0)
.attr("stroke-width", '2px')
.attr("stroke", "white")
.attr("stroke-linejoin", "round")
.attr('title', function(d) {
if (d.properties.name == "MAINE") {
return "MAINE: 3 votes for Biden and 1 vote for Trump";
} else if (d.properties.name == "NEBRASKA") {
return "NEBRASKA: 4 votes for Trump and 1 vote for Biden";
}
let result = result_map.get(d.properties.name);
let winner;
if (result == "D") {
winner = "Biden";
} else if (result == "R") {
winner = "Trump";
} else {
winner = "no one in particular, just yet.";
}
return `${d.properties.name}: ${d.properties.tilegramValue} votes for ${winner}`;
})
.on('mouseenter', function(evt) {
let copy = this.cloneNode(true);
copy.setAttribute('stroke', 'black');
copy.setAttribute('stroke-width', '6px');
copy.setAttribute('class', 'temp');
copy.addEventListener('mouseleave', function() {
map.selectAll('.temp').remove();
});
tippy(copy, {
content: copy.getAttribute("title"),
followCursor: true,
theme: 'light'
});
map.append(() => copy);
});
let biden_votes = d3.sum(
electoral_tiles.boundaries.features
.filter(o => result_map.get(o.properties.name) == 'D')
.map(o => o.properties.tilegramValue)
);
let trump_votes = d3.sum(
electoral_tiles.boundaries.features
.filter(o => result_map.get(o.properties.name) == 'R')
.map(o => o.properties.tilegramValue)
);
let undecided_votes = d3.sum(
electoral_tiles.boundaries.features
.filter(o => result_map.get(o.properties.name) == '?')
.map(o => o.properties.tilegramValue)
);
map
.append('text')
.attr('x', `${0.2 * map_width}`)
.attr('y', `${0.05 * height}`)
.attr('font-family', 'sans-serif')
.text(`Biden: ${biden_votes}`);
map
.append('text')
.attr('x', `${0.4 * map_width}`)
.attr('y', `${0.05 * height}`)
.attr('font-family', 'sans-serif')
.text(`Trump: ${trump_votes}`);
map
.append('text')
.attr('x', `${0.6 * map_width}`)
.attr('y', `${0.05 * height}`)
.attr('font-family', 'sans-serif')
.text(`Undecided: ${undecided_votes}`);
return div.node();
}
proj = d3
.geoIdentity()
.reflectY(true)
.fitSize([map_width, height], electoral_tiles.boundaries)
map_width = width
height = 0.8 * map_width
result_map = {
let results = await FileAttachment("results2020.csv").csv();
let result_map = new Map();
results.forEach(function(o) {
result_map.set(o.state, o.result);
});
return result_map;
}
electoral_tiles = {
let map_file = await FileAttachment("ElectoralCollege@2.json").json();
let tiles = topojson.feature(map_file, map_file.objects.tiles);
let maine_nebraska_1 = tiles.features
.filter(
o => o.properties.name == "MAINE" || o.properties.name == "NEBRASKA"
)
.map(o => ({
type: "Feature",
properties: {
name: o.properties.name,
tilegramValue: o.properties.tilegramValue
},
geometry: { type: "Polygon", coordinates: o.geometry.coordinates[0] }
}));
let boundaries = topojson.feature(map_file, map_file.objects.boundaries);
return {
tiles: tiles,
boundaries: boundaries,
maine_nebraska_1: maine_nebraska_1
};
}
tippy = require("tippy.js@6")
style = html`<link rel="stylesheet" href="${await require.resolve(
`tippy.js/themes/light.css`
)}">`
topojson = require("topojson-client@3")
d3 = require('d3@6')
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Observable is your go-to platform for exploring data and creating expressive data visualizations. Use reactive JavaScript notebooks for prototyping and a collaborative canvas for visual data exploration and dashboard creation.
