Public
Edited
May 14
countries = data['countries.json']()
countries
Type Table, then Shift-Enter. Ctrl-space for more options.
barchart = {
return vl
.markBar()
.data(countries)
.encode(
vl.x().average("fertility").title("Fertilidade"),
vl
.y()
.fieldN("country")
.sort(vl.average("fertility").order("descending"))
.title("País")
)
.render();
}
scatterplot = {
return vl
.markCircle()
.data(countries)
.transform(
vl.filter(
"datum.year == 1980 || datum.year == 1990 || datum.year == 2000"
)
)
.encode(
vl.x().fieldQ("fertility").title("Fertilidade"),
vl.y().fieldQ("life_expect").title("Expectativa de Vida"),
vl.column().fieldN("year").title("Ano")
)
.width(150)
.height(150)
.render();
}
Modifique esta célula com o link: https://marcio-renan.github.io/Visualizacao-de-Dados-2025.1/
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.
