Stories with data, visuals & code at CNN.
DOM.download(() => rasterize(chart), undefined, "Save as PNG")
DOM.download(() => serialize(chart), undefined, "Save as SVG")
nudata = FileAttachment("lebron_career_game_by_game_points.csv").csv()
// data.forEach(function(d) {
// d["value"] = +d["value"];
// var date_t = new Date(d["date"]);
// date_t.setDate(date_t.getDate() + 1)
// d["date"] = date_t
// });
import {rasterize} from "@mbostock/saving-svg"
serialize = {
const xmlns = "http://www.w3.org/2000/xmlns/";
const xlinkns = "http://www.w3.org/1999/xlink";
const svgns = "http://www.w3.org/2000/svg";
return function serialize(svg) {
svg = svg.cloneNode(true);
const fragment = window.location.href + "#";
const walker = document.createTreeWalker(svg, NodeFilter.SHOW_ELEMENT, null, false);
while (walker.nextNode()) {
for (const attr of walker.currentNode.attributes) {
if (attr.value.includes(fragment)) {
attr.value = attr.value.replace(fragment, "#");
}
}
}
svg.setAttributeNS(xmlns, "xmlns", svgns);
svg.setAttributeNS(xmlns, "xmlns:xlink", xlinkns);
const serializer = new window.XMLSerializer;
const string = serializer.serializeToString(svg);
return new Blob([string], {type: "image/svg+xml"});
};
}
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.