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.
Published
Edited
Aug 3, 2020
12 stars
dottie_cobweb = {
let w = Math.min(900, width);
let h = 0.5 * w;
let plot = plotter({
xDomain: [-4, 4],
yDomain: [2, -2],
width: w,
height: h
});
plot.func(Math.cos, { stroke: '#1f77b4', width: 3 });
plot.func(x => x, { stroke: 'black', width: 3 });
let x = x0;
let xs = [];
let segments = [{ x: x, y: x }];
for (let i = 0; i < n; i++) {
let y = Math.cos(x);
segments.push({ x: x, y: y });
x = y;
segments.push({ x: x, y: x });
}
plot.polyline(segments, { width: 0.5 });
plot.point(x0, x0, { fill: 'green' });
plot.point(x, x, { fill: 'red' });
d3.select(dottie_value)
.select('#dottie_approx')
.text(`${d3.format(0.4)(x)}`);
let svg = d3.select(plot.node);
return svg.node();
}
style = html`<style>
input {
width: 400px !important;
}
</style>`
import { plotter } from '@kjerandp/plotter'
import { slider } from "@jashkenas/inputs"
d3 = require('d3@5')
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.
