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data-vis-ufc
Public
Edited
May 14
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countries = data['countries.json']()
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countries
Type Table, then Shift-Enter. Ctrl-space for more options.

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vl.markBar()
.data(countries)
.encode(
vl.x().fieldN('country').sort('-y').title("País"),
vl.y().fieldQ('life_expect').title("Expectativa de Vida (anos)")
)
.width(800)
.height(400)
.title("Expectativa de Vida por País")
.render()

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{return vl.markPoint({ filled: true, size: 50 })
.data(countries)
.encode(
vl.x().fieldQ("life_expect").title("Expectativa de Vida (anos)"),
vl.y().fieldQ("fertility").title("Taxa de Fertilidade"),
vl.tooltip(["country", "life_expect", "fertility"]),
vl.column().fieldN("year").title("Ano")
)
.transform(
vl.filter(vl.field("year").oneOf([1980, 1990, 2000]))
)
.width(200)
.height(200)
.render();
}

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[>https://lerneri.github.io/datavis-course/intro_web_vis/index.html](https://lerneri.github.io/datavis-course/intro_vega_lite/index.html)
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import {vl} from '@vega/vega-lite-api-v5'
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data = require('vega-datasets')
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