Published
Edited
Jun 23, 2022
3 forks
Importers
205 stars
_cov = (X, Y) => (1 / (X.length - 1)) * Σ(
X.map((_, i) =>
(X[i] - μ(X)) * (Y[i] - μ(Y))
)
)
_corr = (X, Y) => cov(X, Y) / (σ(X) * σ(Y))
lag = (X, t) => X.map((_, i) => X[i - t])
autocorr = (X, t) => corr(X, lag(X, t))
decide = series => autocorr(series, 1) > threshold ? line(series) : bar(series)
cov = (X, Y) => _cov(...trim([X, Y]))
corr = (X, Y) => _corr(...trim([X, Y]))
trim = arr => {
const trimmed = d3.transpose(
d3.transpose(arr)
.filter(i => i.every(d => d !== undefined))
)
return trimmed.length ? trimmed : arr.map(() => [])
}
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.
