Public
Edited
Oct 26, 2022
viewof dashboard = {
const magBarChart = vl.markBar()
.encode(
vl.x().fieldQ('magnitude').bin({maxbins:30}).title('Magnitude'),
vl.y().count().title(null)
)
const magBarChartLayer = vl.layer(
magBarChart.params(brush).encode(vl.color().value('lightgrey')),
magBarChart.transform(vl.filter(brush))
)
.title('Number of Events by Magnitude')
.data(earthquakes)
.width(width * 0.40)
.height(200)
.config({view: {stroke: null}})
const eventsByDepth = vl.markBar()
.encode(
vl.x().fieldQ('depth').bin({ maxbins:30}).title('Depth'),
vl.y().count().title(null)
)
const eventsByDepthLayer = vl.layer(
eventsByDepth.params(brush).encode(vl.color().value('lightgrey')),
eventsByDepth.transform(vl.filter(brush))
)
.title('Events by Depth (km)')
.data(earthquakes)
.width(width * 0.40)
.height(200)
const eventsPerHour = vl.markLine()
.encode(
vl.x().fieldT('origintime').timeUnit('hoursdatemonth').title('Date').axis({tickCount: 10}),
vl.y().count().title(null)
)
const eventsPerHourLayer = vl.layer(
eventsPerHour.encode(vl.color().value('lightgrey')),
eventsPerHour.transform(vl.filter(brush))
)
.title('Events per Hour')
.data(earthquakes)
.width(width)
.height(150)
return vl.vconcat(vl.hconcat(vl.vconcat(magBarChartLayer, eventsByDepthLayer), map_view), eventsPerHourLayer)
.resolve({scale: {size: 'independent'}})
.render()
}
brush = vl.selectInterval().name('brush').encodings('x').resolve('intersect')
map_view = {
// base map of New Zeland
const map = vl.markGeoshape({fill: '#ddd', stroke: '#fff', strokeWidth: 1})
.data(vl.topojson(topo).feature('nzl_subunits'))
const circles = vl.markCircle({
fillOpacity: 0.3,
color: '#54E1AE',
stroke: '#008246',
strokeWidth: 1,
strokeOpacity: 0.7
})
.data(earthquakes)
.transform(vl.filter(brush))
.encode(
vl.latitude().fieldQ('latitude'),
vl.longitude().fieldQ('longitude'),
vl.size()
.fieldQ('magnitude')
.scale({type: 'pow', range: [0, 700]}).legend({title: 'Magnitude'}),
vl.tooltip([{field: 'origintime', type: 'temporal'},
{field: 'magnitude', format: '.1f'},
{field: 'depth', format: '.2f'}])
)
return vl.layer(map, circles)
.project(
vl.projection('transverseMercator').rotate([188, 40.5]).translate(width*0.16, 250).scale(1300)
)
.width(width*0.45)
.height(500)
}
signal = 'brush'
Type JavaScript, then Shift-Enter. Ctrl-space for more options. Arrow ↑/↓ to switch modes.
topo = FileAttachment("nz-topo.json").json()
earthquakes = FileAttachment("earthquakes@1.csv").csv({typed: true})
import {vl} from '@vega/vega-lite-api-v5'
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.
