Creative Frontend Developer 👩🏻💻
Public
Edited
Apr 24, 2023
rockyCards = FileAttachment("febrero-marzo2023 (1).json").json()
Plot.plot({
grid: true,
padding: 0.05,
x: { label: "Card Type", axis: "top" },
y: { label: "Repository" },
marks: [
Plot.cell(rockyCards, {
x: "type_name",
y: "Tags",
title: (card) => `${card.Title} link: ${card.card_url}}`,
fill: "color",
})
],
width: width,
marginLeft: 160,
marginTop: 50,
})
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.
