The end-to-end solution for building and hosting better data apps, dashboards, and reports.
Public
Edited
Dec 13, 2022
15 forks
Importers
179 stars
y = {
const minValue = 0;
const maxValue = d3.max(data, d => d.frequency);
const minY = height - margin.bottom;
const maxY = margin.top;
return function(value) {
return (value - minValue)
/ (maxValue - minValue)
* (maxY - minY)
+ minY;
};
}
foo = "🌎" // A cell named foo.
bar = foo + "bar" // A (reactive) reference to the cell foo.
baz = {
let foo = "🏠"; // A local foo, masking the cell foo.
return foo + "baz"; // A reference to the local foo.
}
cycle1 = cycle2 + 1
cycle2 = cycle1 + 1
function computeNodes() {
const map = new Map;
function get(name) {
let node = map.get(name);
if (!node) map.set(name, node = new Node(name));
return node;
}
for (const [i, o] of edges) {
const nodeIn = get(i);
const nodeOut = get(o);
nodeIn.outputs.add(nodeOut);
nodeOut.inputs.add(nodeIn);
}
return [...map.values()];
}
function* computeSequence() {
const nodes = computeNodes();
const queue = [];
for (const node of nodes) {
if (!(node.indegree = node.inputs.size)) {
queue.push(node);
}
}
let node;
yield {nodes, first: true};
while (node = queue.pop()) {
node.computed = true;
for (const output of node.outputs) {
if (!--output.indegree) {
queue.push(output);
}
}
yield {node, nodes};
}
yield {nodes};
}
class Node {
constructor(name) {
this.name = name;
this.computed = false;
this.indegree = 0;
this.inputs = new Set;
this.outputs = new Set;
}
}
edges = [
["d3", "chart"],
["DOM", "chart"],
["width", "chart"],
["height", "chart"],
["data", "chart"],
["x", "chart"],
["y", "chart"],
["xAxis", "chart"],
["yAxis", "chart"],
["require", "data"],
["d3", "x"],
["data", "x"],
["margin", "x"],
["width", "x"],
["d3", "y"],
["data", "y"],
["height", "y"],
["margin", "y"],
["d3", "xAxis"],
["height", "xAxis"],
["margin", "xAxis"],
["x", "xAxis"],
["d3", "yAxis"],
["margin", "yAxis"],
["y", "yAxis"],
["require", "d3"]
]
margin = ({top: 30, right: 0, bottom: 30, left: 40})
height = 500
data = FileAttachment("alphabet.csv").csv({typed: true})
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.