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 1, 2023
regression_result = regression
.regressionLinear()
.x((d) => d.gun_regulation_index)
.y((d) => d.deaths_per_100K)(data)
regression = require("d3-regression")
// The data stored in a CSV
data = FileAttachment("gun_regulation_index_data.csv").csv({ typed: true })
// The commented code below generates the data from scratch using a copied/pasted
// table from the article and an API call to the US Census Bureau.
// {
// let data = d3.csvParse(
// // This is just a copy and paste of Table 1 here:
// // https://journals.lww.com/epidem/fulltext/2023/11000/the_era_of_progress_on_gun_mortality__state_gun.3.aspx
// `state,gun_regulation_index,gun_deaths
// Alabama −1 1046 1034 - 12
// Alaska 0 177 177 0 0
// Arizona 8 1094 1205 111 -
// Arkansas 0 541 541 0 0
// California 20 3184 4833 1649 -
// Colorado 5 812 870 58 -
// Connecticut 16 172 292 120 -
// Delaware 12 111 135 24 -
// Florida 6 2704 2964 260 -
// Georgia 2 1571 1614 43 -
// Hawaii 12 66 102 36 -
// Idaho 2 242 250 8 -
// Illinois 7 1490 1689 199 -
// Indiana 3 997 1039 42 -
// Iowa 0 288 288 0 0
// Kansas −2 383 368 - 15
// Kentucky −1 772 763 - 9
// Louisiana 3 987 1013 26 -
// Maine 5 123 136 13 -
// Maryland 7 707 800 93 -
// Massachusetts 8 242 354 112 -
// Michigan 3 1230 1293 63 -
// Minnesota 2 432 451 19 -
// Mississippi 3 587 605 18 -
// Missouri −4 1144 1090 - 54
// Montana 2 194 198 4 -
// Nebraska 10 171 211 40 -
// Nevada 6 498 538 40 -
// New Hampshire 4 132 143 11 -
// New Jersey 9 485 654 169 -
// New Mexico 3 383 396 13 -
// New York 11 900 1348 448 -
// North Carolina 5 1409 1511 102 -
// North Dakota 2 90 93 3 -
// Ohio 2 1524 1573 49 -
// Oklahoma 5 766 807 41 -
// Oregon 3 513 535 22 -
// Pennsylvania 6 1555 1716 161 -
// Rhode Island 4 49 58 9 -
// South Carolina −2 891 872 - 19
// South Dakota −1 108 106 - 2
// Tennessee 0 1148 1148 0 0
// Texas 1 3353 3400 47 -
// Utah 4 370 396 26 -
// Vermont 1 78 79 1 -
// Virginia 3 1049 1106 57 -
// Washington 5 686 759 73 -
// West Virginia 5 332 350 18 -
// Wisconsin 6 664 732 68 -
// Wyoming 2 101 103 2 -`
// .replace(/ \t/g, ",")
// .replace(/−/g, "-"),
// d3.autoType
// );
// // We need to add state population data from 2016, which
// // we can get the Census API:
// let results = await (
// await fetch(
// "https://api.census.gov/data/2016/acs/acs5?get=NAME,B01003_001E&for=state"
// )
// ).json();
// let columns = results[0];
// results = results.slice(1).map(function (a) {
// return Object.fromEntries(d3.zip(columns, a));
// });
// let state_pops = d3.rollup(
// results,
// (a) => parseInt(a[0].B01003_001E),
// (o) => o.NAME
// );
// // Join the state populations to the copied data
// data.forEach(function (o) {
// let population = state_pops.get(o.state);
// o.deaths_per_100K = (100000 * o.gun_deaths) / population;
// });
// return data;
// }
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