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.
Public
Edited
Nov 2, 2022
1 star
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 SurroundElectoral Results TilegramThe 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 USHBCUsHierarchical 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
NC State Legislative Elections 2022
Also listed in…
Political Issues
bar_data = {
let bar_data =
chamber == "House" ? map_data.house_districts : map_data.senate_districts;
bar_data = bar_data.features.map((o) => o.properties);
bar_data.forEach(
(o) =>
(o.competitive_status =
o.dem_vote_share < 0.5 - threshold
? "Republican"
: o.dem_vote_share > 0.5 + threshold
? "Democratic"
: "Competitive")
);
bar_data = d3.sort(bar_data, (o) => o.dem_vote_share);
bar_data.forEach((o, i) => (o.rank = i));
// d3.sort(
// bar_data.filter((o) => o.cometitive_status == "Democratic"),
// (o) => o.dem_vote_share
// ).forEach(function (o, i) {
// let oo = bar_data.filter((ooo) => ooo.DISTRICT == o.DISTRICT)[0];
// oo.rank = i;
// });
return d3.sort(bar_data, (o) => o.DISTRICT);
}
house_counts = {
let total = map_data.house_districts.features.length;
let rep_count = map_data.house_districts.features.filter(
(o) => o.properties.dem_vote_share < 0.5 - threshold
).length;
let dem_count = map_data.house_districts.features.filter(
(o) => o.properties.dem_vote_share > 0.5 + threshold
).length;
let toss_ups = map_data.house_districts.features.filter(
(o) =>
0.5 - threshold < o.properties.dem_vote_share &&
o.properties.dem_vote_share < 0.5 + threshold
);
let dem_vote_share_extent = d3.extent(
map_data.house_districts.features.map((o) => o.properties.dem_vote_share)
);
return {
total,
rep_count,
dem_count,
dem_vote_share_extent,
toss_ups,
toss_up_count: toss_ups.length
};
}
senate_counts = {
let total = map_data.senate_districts.features.length;
let rep_count = map_data.senate_districts.features.filter(
(o) => o.properties.dem_vote_share < 0.5 - threshold
).length;
let dem_count = map_data.senate_districts.features.filter(
(o) => o.properties.dem_vote_share > 0.5 + threshold
).length;
let toss_ups = map_data.senate_districts.features.filter(
(o) =>
0.5 - threshold < o.properties.dem_vote_share &&
o.properties.dem_vote_share < 0.5 + threshold
);
let dem_vote_share_extent = d3.extent(
map_data.senate_districts.features.map((o) => o.properties.dem_vote_share)
);
return {
total,
rep_count,
dem_count,
dem_vote_share_extent,
toss_ups,
toss_up_count: toss_ups.length
};
}
map_data = {
let map_file = await FileAttachment("nc_leg_2022.json").json();
let senate_districts = topojson.feature(
map_file,
map_file.objects["NC-S22-Dist1"]
);
let house_districts = topojson.feature(
map_file,
map_file.objects["NC-H22-Dist1"]
);
return {
senate_districts,
house_districts
};
}
import { Legend, Swatches } from "@d3/color-legend"
require.resolve(`tippy.js/themes/light-border.css`)
tippy_style = html`<link rel="stylesheet" href="${await require.resolve(
`tippy.js/themes/light-border.css`
)}">`
tippy = require("tippy.js@6")
// Princeton Gerrymandering project indicates the competive range should be +/- 3.5%,
// though my logistic regression analysis indicates more like +/- 1%.
// threshold = 0.035
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