Public
Edited
May 14
countries = data['countries.json']()
countries
Type Table, then Shift-Enter. Ctrl-space for more options.
grafico1 = vl.markBar()
.data(countries)
.encode(
vl.y().average('fertility'),
vl.x().fieldN('country')
.sort({ field: 'fertility', op: 'average', order: 'descending' })
)
.render()
grafico2 = {
const v1 = vl.markCircle().data(countries)
.transform(
vl.filter("datum.year == 1980")
)
.encode(
vl.x().fieldQ("fertility").title("Fertility"),
vl.y().fieldQ("life_expect").title("Life Expectancy"),
)
.width(250)
.height(250)
.title("1980")
const v2 = vl.markCircle().data(countries)
.transform(
vl.filter("datum.year == 1990")
)
.encode(
vl.x().fieldQ("fertility").title("Fertility"),
vl.y().fieldQ("life_expect").title("Life Expectancy"),
)
.width(250)
.height(250)
.title("1990")
const v3 = vl.markCircle().data(countries)
.transform(
vl.filter("datum.year == 2000")
)
.encode(
vl.x().fieldQ("fertility").title("Fertility"),
vl.y().fieldQ("life_expect").title("Life Expectancy"),
)
.width(250)
.height(250)
.title("2000")
return vl.hconcat(
vl.layer(v1),
vl.layer(v2),
vl.layer(v3)
).render();
}
Modifique esta célula com o link: https://vcovictor01.github.io/datavis2025/export.htmlp
import {vl} from '@vega/vega-lite-api-v5'
data = require('vega-datasets')
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.
