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Mahesh Abnave
Published unlisted
Edited
Apr 16, 2022
1 fork
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import {vl} from '@vega/vega-lite-api-v5'
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df2 = data['movies.json']() // get hold of movies dataset
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data = require('vega-datasets@1') // import vega_datasets
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df2[0]['IMDB_Rating']
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plot = vl.markBar().data(df2).encode(
vl.x().fieldQ('IMDB_Rating').bin(true),
vl.y().count()
)
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plot.render()
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vl.markBar().data(df2).encode(
vl.x().fieldQ('IMDB_Rating').bin(false),
vl.y().count()
).render()
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{
const plot = vl.markCircle().encode({
x: {field: 'precip', type: 'quantitative', aggregate: 'average'},
y: {field: 'city', type: 'nominal'}
});
return html`<pre>${JSON.stringify(plot.toObject(), 0, 2)}</pre>`; // format JSON data
}
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vl.markBar().data(df2).render()
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// html`<pre>${JSON.stringify(plot.toObject(), 0, 2)}</pre>`;
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vegalite = require("@observablehq/vega-lite@0.2")
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vegalite.compile(plot.toObject()).spec;
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