Public
Edited
Mar 20, 2023
data = require('vega-datasets@1')
seattle_temps = data['seattle-weather.csv']()
printTable(seattle_temps.slice(0,5))
vl.markPoint(color: "red")
.data(seattle_temps)
.encode(
vl.x().field('date', 'temporal'),
vl.y().field('temp_max', 'quantitative')
)
.render()
import {vl} from "@vega/vega-lite-api-v5"
import {printTable} from '@uwdata/data-utilities'
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.
