Vega-Lite API v5Vega-Lite API v4Vega-Lite with Inline CSV DataVega-Lite Cross-Filter ExampleVega-Lite Annotated Time SeriesPSR B1919+21 with Vega-LiteVega-Lite London Tube LinesVega-Lite Cartographic ProjectionsVega-Lite Airport ConnectionsVega-Lite Pyramid PieVega-Lite Wind VectorsVega-Lite Population ChangeVega-Lite with Streaming Data UpdatesVega-Lite Parallel CoordinatesVega-Lite Interactive Index ChartVega-Lite Adjacency MatrixVega-Lite Donut Chart with LabelsVega-Lite Spike MapVega-Lite Scatterplot Pan & ZoomVega-Lite Repeat LayerVega-Lite LAB Color SpaceVega-Lite Input BindingVega-Lite Population PyramidsVega-Lite Isotype dot plotVega-Lite Distribution PlotsVega-Lite API Interactive SplomVega Lite API - Timeline Focus + ContextVega-Lite Percent Of Total
Vega-Lite Composing Selections
{
const panzoom = vl.selectInterval().bind('scales')
.translate('[mousedown[!event.shiftKey], window:mouseup] > window:mousemove!')
.zoom('wheel!');
const brush = vl.selectInterval().resolve('union')
.on('[mousedown[event.shiftKey], window:mouseup] > window:mousemove!')
.translate('[mousedown[event.shiftKey], window:mouseup] > window:mousemove!')
.zoom(null);
return vl.markCircle()
.data('data/cars.json')
.params(panzoom, brush)
.encode(
vl.x().fieldQ(vl.repeat('column')),
vl.y().fieldQ('Miles_per_Gallon').axis({minExtent: 25}),
vl.color().value('grey').if(brush, vl.color().fieldO('Cylinders')),
vl.opacity().if(brush, vl.value(0.8)).value(0.1)
)
.width(200)
.height(200)
.repeat({column: ['Acceleration', 'Horsepower', 'Displacement']})
.render();
}
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