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.
rows = 20
gun_ownership_and_death_rates = FileAttachment(
"gun_ownership_and_death_rates.csv"
).csv({ typed: true })
{
if (get_data == 1) {
let state_names_and_abbreviations = await FileAttachment(
"state_names_and_abbreviations.csv"
).csv();
let name_to_abbr = d3.rollup(
state_names_and_abbreviations,
(a) => a[0],
(o) => o.name
);
let gun_ownership_by_state = await FileAttachment(
"gun_ownership_by_state.csv"
).csv({ typed: true });
let gun_deaths_by_state = await FileAttachment(
"gun_deaths_by_state.csv"
).csv();
gun_deaths_by_state = d3.rollup(
gun_deaths_by_state.filter((o) => o.YEAR == "2021"),
(a) => a[0],
(o) => o.STATE
);
let data = gun_ownership_by_state.map(function (o) {
let abbr = name_to_abbr.get(o.state).abbr;
let death_rate = gun_deaths_by_state.get(abbr).RATE;
return {
abbr,
state: o.state,
ownership_percentage: o.gunOwnershipPercentage,
death_rate
};
});
return data;
} else {
return md`The raw data comes in a couple of different files from different sites, as described above. This code takes those raw files and generates the simplified file that powers the visualization. Hit the "Get data" button above exactly once, if you want to regenerate the data.`;
}
}
f = {
let [b, m] = regression.coef;
return (x) => m * x + b;
}
regression = jstat.models.ols(
gun_ownership_and_death_rates.map((o) => o.death_rate),
gun_ownership_and_death_rates.map((o) => [1, o.ownership_percentage])
)
jstat = require("jstat")
Purpose-built for displays of data
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.
