UW iSchool Course INFO 474: focused on designing and building visualizations to better understand and communicate about pressing issues.
// make a "chart"
chart = {
// Create your svg
const svg = d3.create("svg")
// Store a legend in a variable
const color_legend = legend({
color: d3.scaleSequential([0, 100], d3.interpolateViridis),
title: "Temperature (°F)"
})
// Append your legend, which requires using a *function*
svg.append("g")
.attr("transform", "translate(10, 0)") // appending a G so you can easily position it
.append(() => color_legend)
// {make the rest of your chart here..... axes, marks, etc.}
// Return the chart
return svg.node()
}
md`## Appendix`
d3 = require("d3")
import {legend} from "@d3/color-legend"
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.