import {vl} from '@vega/vega-lite-api-v5'
import {printTable} from '@jonfroehlich/data-utilities'
import {printTableTypes} from '@jonfroehlich/data-utilities'
seattle-weather@1.csv
Type Table, then Shift-Enter. Ctrl-space for more options.
seattleWeatherFile = FileAttachment {
name: "seattle-weather.csv",
mimeType: "text/csv",
<prototype>: FileAttachment {}
}
seattleWeatherFile = FileAttachment("seattle-weather@1.csv")
seattleWeatherTyped = seattleWeatherFile.csv({typed: true})
seattleWeather = seattleWeatherFile.csv()
printTableTypes(seattleWeather)
vl.markPoint().data(seattleWeatherTyped).render()
vl.markPoint()
.data(seattleWeatherTyped)
.render()
vl.markPoint()
.data(seattleWeatherTyped)
.encode(vl.x()
.field('temp_max')
.type('quantitative')
.title("Max Temp"))
.render()
vl.markPoint()
.data(seattleWeatherTyped)
.encode(vl.x().fieldQ('temp_max').title("Max Temp"))
.render()
vl.markPoint()
.data(seattleWeatherTyped)
.encode(
vl.x().fieldQ('temp_min').title("Min Temp"),
vl.y().fieldQ('temp_max').title("Max Temp")
).render()
vl.markCircle({opacity: 0.6})
.data(seattleWeatherTyped)
.encode(
vl.x().fieldQ('temp_min').title("Min Temp"),
vl.y().fieldQ('temp_max').title("Max Temp"),
vl.color().fieldN('weather')
).render()
vl.markCircle({opacity: 0.6})
.data(seattleWeatherTyped)
.encode(
vl.x().fieldQ('temp_min').title("Min Temp"),
vl.y().fieldQ('temp_max').title("Max Temp"),
vl.color().fieldN('weather').scale({range: ["#AEC7E8", "#C7C7C7", "#1F77B4", "#9467bd", "#E7BA52"]})
).render()
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.
