I am a Computer Scientist and Musician by training. A writer with interests in Philosophy, Economics, Technology, Politics, Business, the Arts and Fiction.
Published
Edited
Oct 12, 2020
1 star
md`# Colombo Stock Exchange`
{
const data = await getData();
const N = 40;
return drawBubbleChart(
data.slice(0, N).map(d =>
Object({
name:
d.symbol +
' $' +
d3.format('.3')(d.market_cap / 1000 / 1000 / 185) +
'M',
value: d.market_cap,
group: d.gics_type
})
),
{
width: 1000,
height: 1000,
caption: `Top ${N} Entities on the CSE by Market Cap.`
}
);
}
d3 = require('d3')
import { drawBubbleChart } from '@nuuuwan/bubble-chart'
async function getData() {
return (await d3.csv(
'https://raw.githubusercontent.com/nuuuwan/misc-sl-data/master/sl.cse.market_cap.2020.10.12.v2.csv'
))
.map(function(d) {
d.price = parseFloat(d.price);
d.issued_quantity = parseFloat(d.issued_quantity);
d.market_cap = parseFloat(d.market_cap);
return d;
})
.sort((a, b) => b.market_cap - a.market_cap);
}
getData()
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.