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
Dec 5, 2023
regression = counts
? ss.linearRegression(counts.map((o) => [-Math.log(o.s), Math.log(o.cnt)]))
: 0
counts = {
if (input_image) {
let image_width = (await input_image.image()).width;
let image_height = (await input_image.image()).height;
let image_url = await input_image.url();
let canvas = d3
.create("canvas")
.attr("width", image_width)
.attr("height", image_height)
.style("display", "none");
let ctx = canvas.node().getContext("2d");
let img = new Image();
img.src = image_url;
ctx.drawImage(img, 0, 0);
return box_count(canvas.node());
}
}
import { box_count } from "@mcmcclur/box-counting-dimension-examples"
MathJax = require("https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-svg.js").catch(
() => window["MathJax"]
)
ss = require("simple-statistics")
images = Promise.all([
FileAttachment("julia513.png"),
FileAttachment("spiral513.png"),
FileAttachment("tree1025@1.png")
])
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.
