Public
Edited
May 13
countries = data['countries.json']()
countries
Type Table, then Shift-Enter. Ctrl-space for more options.
// escreva aqui a sua resposta
barGrafic = {
const grafic = vl.markBar()
.data(countries)
.transform(vl.filter)
.encode(
vl.y().average('fertility').title('Média de fertilidade'),
vl.x().fieldN('country').sort(vl.average('fertility').order('descending'))
)
return grafic.render()
}
// escreva aqui a sua resposta
scatterplot = {
const grafic = vl.markPoint()
.data(countries)
.transform(vl.filter('datum.year == 1980 || datum.year == 1990 || datum.year == 2000'))
.encode(
vl.x().fieldQ('life_expect').title('Pespectiva de vida'),
vl.y().fieldQ('fertility').title('Fetilidade'),
vl.color().fieldN('country'),
vl.column().fieldO('year')
)
return grafic.render()
}
Modifique esta célula com o link: https://kaykycastro.github.io/vegalite-exercicio1/export.html
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.
