Lic. en Ciencias de la Computación, DC, FCEyN, UBA.
Profesor Asociado en el ITBA.
{
// https://en.wikipedia.org/wiki/Anscombe%27s_quartet
let data = anscombe.filter((d) => d.group === sel_group);
let X = data.map((d) => d.x);
let Y = data.map((d) => d.y);
// TODO: round
return {
serie: sel_group,
x_rows: data.length, // 11
x_mean: d3.mean(data, (d) => d.x), // 9
y_mean: +d3.mean(data, (d) => d.y).toFixed(2), // 7.5 (to 2 decimal places)
x_variance: +d3.variance(data, (d) => d.x).toFixed(2), //
y_variance: +d3.variance(data, (d) => d.y).toFixed(3), // 4.125 ±0.003
corr: dl.cor(X, Y).toFixed(2),
linear_reg: dl.linearRegression(X, Y)
};
}
dl = require('datalib')
datasaurus = FileAttachment("Datasaurus_data+headers.csv").csv({typed: true})
anscombe = FileAttachment("anscombe.csv").csv({typed: true})
import {toc} from "@mbostock/toc"
import {DonutChart} from "@d3/donut-chart"
islands = [...d3.group(penguins, d => d.species).entries()].map(d => {
return {
name: d[0],
value: d[1].length
}
}).sort((a, b) => d3.descending(a.value, b.value))
import {chart as sankey} from "@d3/sankey"
import {Plot} from "@mkfreeman/plot-tooltip"
Purpose-built for displays of data
Observable is your go-to platform for exploring data and creating expressive data visualizations. Use reactive JavaScript notebooks for prototyping and a collaborative canvas for visual data exploration and dashboard creation.
