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.
dog_data = {
let dogZip = await FileAttachment("Dog_Photos@3.zip").zip();
let breeds = d3
.sort(
(await dogZip.file("Readme.txt").text())
.split("\r")
.slice(3, -1)
.map((s) => s.split("\t")),
(a) => a[0]
)
.map((a) => a[1]);
let urls = await Promise.all(
dogZip.filenames
.filter((f) => f.slice(-4) == ".jpg")
.map(async function (name, i) {
return dogZip.file(name).url();
})
);
return d3.zip(breeds, urls).map((a) => ({ breed: a[0], url: a[1] }));
}
tippy_style = html`<div style="display: none"><link rel="stylesheet" href="${await require.resolve(
`tippy.js/themes/light.css`
)}"></div>`
tippy = require("tippy.js@6")
One platform to build and deploy the best data apps
Experiment and prototype by building visualizations in live JavaScript notebooks. Collaborate with your team and decide which concepts to build out.
Use Observable Framework to build data apps locally. Use data loaders to build in any language or library, including Python, SQL, and R.
Seamlessly deploy to Observable. Test before you ship, use automatic deploy-on-commit, and ensure your projects are always up-to-date.