countries = data['countries.json']()
countries
Type Table, then Shift-Enter. Ctrl-space for more options.
bar_chat = vl.markBar()
.data(countries)
.encode(
vl.x()
.fieldN("country")
.sort("-y"),
vl.y()
.aggregate("mean")
.fieldQ("fertility")
)
.render()
scatterplots = vl.hconcat(
// Scatterplot 1: 1980
vl.markCircle()
.data(countries)
.transform(
vl.filter("datum.year == 1980"))
.encode(
vl.x().fieldQ("fertility"),
vl.y().fieldQ("life_expect")
)
.title("1980"),
// Scatterplot 2: 1990
vl.markCircle()
.data(countries)
.transform(
vl.filter("datum.year == 1990"))
.encode(
vl.x().fieldQ("fertility"),
vl.y().fieldQ("life_expect")
)
.title("1990"),
// Scatterplot 3: 2000
vl.markCircle()
.data(countries)
.transform(
vl.filter("datum.year == 2000"))
.encode(
vl.x().fieldQ("fertility"),
vl.y().fieldQ("life_expect")
)
.title("2000")
)
.render()
Modifique esta célula com o link:
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.
