Notebooks 2.0 is here.
myData = FileAttachment("values-1.json").json()
import { chart as myHistogram } with { myData as data } from "@d3/histogram@261"
myHistogram
import { chart as pannableChart } with { temperatures as data } from "@d3/pannable-chart"
temperatureRaw = FileAttachment("temperature.csv").csv() //or bring from old import and parse sheet
import {Wrangler, op} from "@observablehq/data-wrangler"
// from wrangler:
temperatures = aq
.from(temperatureRaw)
.derive({ temperature: (d) => +d.temperature })
.rename({ temperature: "value" })
.derive({ date: aq.escape((d) => new Date(d.date)) })
.objects() // Uncomment to return an array of objects
pannableChart // reference the chart, so that it is drawn
import {imageToDo} from "@clokman/student-blocks"
imageToDo
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.
