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.
Plot: A few custom time axesAccess to Family planningPlot: MarimekkoAutoplot matrixWhat do people buy on Bandcamp?Plot: colorContrast transformA Timeline of Democratic Presidential CandidatesPlot: Diverging stacked barsPlot: Horizon ChartPlot: Ridgeline PlotTwo-Tone Pseudo Color Scales with Observable Plot & Vega-LiteRecreating Östling’s regression visualizationsError barsPlot: regressionSkies PlotHorizon graph & Barcode with PlotTemporal AliasingPlot for mathematiciansPlot Isotype dot plotCOVID-19 Netherlands Reproduction Number TutorialPlot Mountain SunsetSpine chartsGreenhouse gas emission projectionsRaincloud Plots with Observable PlotUpset Plots with Observable PlotExploring CIELChabNature variant waves graphicWhen Presidents Fade AwayThe Coronavirus landscapeOur World In Data charts visualisationVisualizing The New York Times’s Mini CrosswordDistributions and summary statistics - a collection of Plot examplesVariants of SARS-Cov-2 in EuropeLaid off: 6 million jobs and countingConcentration values vs. TimeTopological subsamplingPlot of plotsCyclical time scale, v2Bullet graph IIPlot: Bullet graphCyclical time scaleRoad traffic under COVID restrictions (France)K-means binningMatrix diagramELD ViewerHappy anniversary, Project Gutenberg!ROC curvePlot stargazer historyPlot HyperboloidPhone bar plotsLog-scale histogramDatabase Outage PlotBertin’s hotelIreland’s top trade partnersBump chartBubble MatrixRenko ChartGitHub BurndownPlot: Grid choroplethCandlestick Chart
The normal model
pts = {
steely_dan_says;
let n = 1000;
let m0 = d3.randomUniform(1, 8)();
let s0 = d3.randomUniform(1 / 2, 2)();
let pts = d3.range(n).map(d3.randomNormal(m0, s0));
return pts;
}
create_plot = function (pts) {
let m = d3.mean(pts);
let s = d3.deviation(pts);
let w = 800;
let h = 0.4 * w;
let f = (x) =>
Math.exp((-(x - m) * (x - m)) / (2 * s * s)) / (Math.sqrt(2 * Math.PI) * s);
let marks = [
Plot.rectY(
pts,
Plot.binX(
{
y: (a, bin) => {
return a.length / pts.length / (bin.x2 - bin.x1);
},
title: "proportion"
},
{ x: (pt) => pt, fill: "#b00" }
)
),
Plot.dot(pts, {
x: (x) => x,
y: (_) => 0,
stroke: "black",
fill: "black",
opacity: 0.2
}),
Plot.ruleX([0]),
Plot.ruleY([0])
];
if (show_curve) {
marks.push(
Plot.line(build_samples(f, -1, 12, { N: 100 }), {
strokeWidth: 5,
stroke: "#111",
opacity: 0
})
);
}
let plot = Plot.plot({
x: { domain: [0, 11] },
y: { domain: [0, 1] },
width: w,
height: h,
marks: marks
});
d3.select(plot)
.selectAll("rect")
.on("pointerenter", function () {
d3.select(this).attr("opacity", 0.5);
})
.on("pointerleave", function () {
d3.select(this).attr("stroke", null).attr("opacity", null);
})
.nodes()
.forEach((bar) =>
tippy(bar, { content: d3.select(bar).select("title").text() })
);
d3.select(plot).selectAll("rect").select("title").remove();
return plot;
}
show_curve = true
import { build_samples } from '@mcmcclur/adaptive-plotter'
tippy = require("tippy.js@6")
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