INSEE ParquetWord Tour: 40k words and their friendsHello, SageMath cellPoisson disk sampling functionsSubresource Integrity Hash GeneratorChatterjee correlationTagged bordersHeatmapSankey link paths (#91)Search with AccentsHello, EDTF!Canvas axisTernary binningjszipScintillating symbolsDiscrete distribution inputHello, talismanSpatial interpolation: Voronoi & Blur (code)Canvas path blurPaths Delaunay hoverFill with strokeDruidJSAnimating a cardinal curve between control points
Table Extractor
// use as a viewof (single table) on markdown or html markup
viewof c = tableView(md`| date | name | value |
|---
| 22.01 | Julie | $3 |
| 24.01 | Ahmad | $13 |
| 25.01 | Baruch | $2 |
`)
c
a = html`<table><thead><tr><th>date</th><th>name</th><th>value</th></tr></thead><tbody><tr><td>22.01</td><td>Julie</td><td>$3</td></tr><tr><td>24.01</td><td>Ahmad</td><td>$13</td></tr><tr><td>25.01</td><td>Baruch</td><td>$2</td></tr></tbody></table>`
// extract one table
tableExtractor(a)
// extract several tables
tableExtractor(b, true)
// extract all the tables in the document
(a, b, tableExtractor(d3.selectAll("table"), true))
fetch(CORS_PROXY + "https://en.wikipedia.org/wiki/List_of_sandwiches")
.then((resp) => resp.text())
.then((html) => d3.create("div").html(html))
.then(tableExtractor)
tableExtractor = (root, multiple = false) => {
const T = [];
if (!root || !root.selectAll) root = d3.select(root);
const tables = root
.filter(function() {
return this.nodeName === "TABLE";
})
.size()
? root.nodes()
: root.selectAll("table");
for (const table of tables) {
const keys = [],
rows = [];
for (const th of d3.select(table).selectAll("th")) {
keys.push(th.innerText.trim());
}
for (const tr of d3
.select(table)
.select("tbody")
.selectAll("tr")) {
// if we haven't found a thead, number keys
if (keys.length === 0) {
d3.select(tr)
.selectAll("td")
.each((_, i) => keys.push(i));
}
const row = {};
let i = 0;
for (const td of d3.select(tr).selectAll("td")) {
const k = keys[i++];
if (k) row[k] = td.innerText.trim();
}
rows.push(row);
}
rows.columns = keys;
if (keys.length) T.push(rows);
}
return multiple ? T : T[0];
}
tableView = (element, multiple) => {
return Object.assign(element, { value: tableExtractor(element, multiple) });
}
d3 = require("d3-selection@2")
// import { CORS_PROXY } from "@fil/cors-proxy"
CORS_PROXY = "https://cors-anywhere.herokuapp.com/"
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.