Published
Edited
Oct 18, 2020
md`# Live Demo of VegaLite OpenVis Conf talk`
md`## 1. Single View Specification`
vegalite({
data: { values: weathers },
mark: 'tick',
encoding: {
x: { field: 'temp_max', type: 'quantitative' },
}
})
// Histogram
vegalite({
data: { values: weathers },
mark: 'bar',
encoding: {
x: { bin: true, field: 'temp_max', type: 'quantitative' },
y: { aggregate: 'count', type: 'quantitative' }
}
})
// Histogram + Color = Stack Histogram
vegalite({
data: { values: weathers },
mark: 'bar',
encoding: {
x: { bin: true, field: 'temp_max', type: 'quantitative' },
y: { aggregate: 'count', type: 'quantitative' },
color: {
field: 'weather', type: 'nominal',
scale: {
domain: ['sun', 'fog', 'drizzle', 'rain', 'snow'],
range: ['#e7ba52', '#c7c7c7', '#aec7e8', '#1f77b4', '#9467bd']
}
}
}
})
// line default not stack
vegalite({
data: { values: weathers },
mark: 'line',
encoding: {
x: { bin: true, field: 'temp_max', type: 'quantitative' },
y: { aggregate: 'count', type: 'quantitative' },
color: {
field: 'weather', type: 'nominal',
scale: {
domain: ['sun', 'fog', 'drizzle', 'rain', 'snow'],
range: ['#e7ba52', '#c7c7c7', '#aec7e8', '#1f77b4', '#9467bd']
}
}
}
})
// Histogram + Column = Trellis Histogram
vegalite({
data: { values: weathers },
mark: 'bar',
encoding: {
x: { bin: true, field: 'temp_max', type: 'quantitative' },
y: { aggregate: 'count', type: 'quantitative' },
column: { field: 'weather', type: 'nominal' },
color: {
field: 'weather', type: 'nominal',
scale: {
domain: ['sun', 'fog', 'drizzle', 'rain', 'snow'],
range: ['#e7ba52', '#c7c7c7', '#aec7e8', '#1f77b4', '#9467bd']
}
}
}
})
md`## 2. Layered and Muti-View Composition`
barSpec = ({
mark: 'bar',
encoding: {
x: { timeUnit: 'month', field: 'date', type: 'ordinal' },
y: { aggregate: 'mean', field: 'precipitation', type: 'quantitative' },
}
})
histogramSpec = ({
mark: 'bar',
encoding: {
x: { bin: true, field: 'temp_max', type: 'quantitative' },
y: { aggregate: 'count', type: 'quantitative' }
}
})
vegalite({
data: { values: weathers },
...barSpec
})
vegalite({
data: { values: weathers },
layer: [
barSpec,
{
mark: { type: 'rule', color: 'red', strokeWidth: 2 },
encoding: {
y: { aggregate: 'mean', field: 'precipitation', type: 'quantitative' }
}
},
]
})
vegalite({
data: { values: weathers },
vconcat: [ histogramSpec, barSpec ]
})
vegalite({
repeat: {
row: ['wind', 'precipitation', 'temp_max'],
},
spec: {
data: { values: weathers },
mark: 'bar',
encoding: {
x: { timeUnit: 'month', field: 'date', type: 'ordinal' },
y: { aggregate: 'mean', field: { repeat: 'row' }, type: 'quantitative' },
}
}
})
vegalite({
repeat: {
column: ['temp_max', 'precipitation', 'wind'],
row: ['wind', 'precipitation', 'temp_max'],
},
spec: {
data: { values: weathers },
mark: 'point',
encoding: {
x: { field: { repeat: 'column' }, type: 'quantitative' },
y: { field: { repeat: 'row' }, type: 'quantitative' }
}
}
})
md`## 3. Selections`
cars = data['cars.json']()
printTable(cars.slice(0, 5));
vegalite({
data: { values: cars },
mark: 'circle',
encoding: {
x: { field: 'Horsepower', type: 'Q' },
y: { field: 'Miles_per_Gallon', type: 'Q' },
color: { field: 'Origin', type: 'N' },
}
})
vegalite({
data: { values: cars },
mark: 'circle',
selection: {
picked: { type: 'single' }
},
encoding: {
x: { field: 'Horsepower', type: 'Q' },
y: { field: 'Miles_per_Gallon', type: 'Q' },
color: {
field: 'Origin', type: 'N',
condition: { selection: 'picked', value: 'grey' }
},
}
})
vegalite = require("@observablehq/vega-lite@0.3")
data = require('vega-datasets@2')
import {printTable} from '@uwdata/data-utilities'
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