DATA = [
{ nom: 'Lausanne', population: 138905 },
{ nom: 'Yverdon-les-Bains', population: 30143 },
{ nom: 'Montreux', population: 26574 },
{ nom: 'Renens', population: 21036 },
{ nom: 'Nyon', population: 20533 },
{ nom: 'Vevey', population: 19827 },
]
d3 = require('d3')
viewof d3view = {
const WIDTH = width
const HEIGHT = width / 3
const container = DOM.svg(WIDTH, HEIGHT)
const MARGIN = 5
const MARGIN_BOTTOM = HEIGHT / 10
const GRAPH_HEIGHT = HEIGHT - MARGIN_BOTTOM
const MARGIN_LEFT = WIDTH / 20
const GRAPH_WIDTH = WIDTH - MARGIN_LEFT
const svg = d3.select(container)
const BAR_WIDTH = GRAPH_WIDTH / DATA.length
const yScale = d3.scaleLinear()
.domain([0, d3.max(DATA, d => d.population)])
.range([GRAPH_HEIGHT, 0])
const bars = svg.append('g')
.attr('transform', `translate(${MARGIN_LEFT}, 0)`)
bars.selectAll('rect')
.data(DATA)
.enter()
.append('rect')
.attr('x', (d, i) => i * BAR_WIDTH)
.attr('width', BAR_WIDTH - MARGIN)
.attr('y', d => yScale(d.population))
.attr('height', d => GRAPH_HEIGHT - yScale(d.population))
.attr('fill', 'steelblue')
const cityNames = svg.append('g')
.attr('transform', `translate(${MARGIN_LEFT}, 0)`)
cityNames.selectAll('text')
.data(DATA)
.enter()
.append('text')
.attr('x', (d, i) => i * BAR_WIDTH + BAR_WIDTH / 2)
.attr('y', HEIGHT - MARGIN_BOTTOM + 20)
.attr('text-anchor', 'middle')
.attr('font-family', 'sans-serif')
.attr('font-size', 10)
.text(d => d.nom)
const axisY = d3.axisLeft().scale(yScale)
.tickFormat(d => `${d / 1000}k`)
.ticks(5)
svg.append('g')
.attr('transform', `translate(${MARGIN_LEFT - 3})`)
.call(axisY)
return container
}
viewof vegaView = vega({
$schema: 'https://vega.github.io/schema/vega/v5.json',
width: 400,
height: 200,
padding: 5,
data: [
{
name: 'villes',
values: DATA,
}
],
scales: [
{
name: 'xscale',
type: 'band',
domain: { data: 'villes', field: 'nom' },
range: 'width',
padding: 0.05
},
{
name: 'yscale',
domain: { data: 'villes', field: 'population'},
nice: true,
range: 'height'
}
],
axes: [
{ orient: 'bottom', scale: 'xscale', labelAngle: 30, labelAlign: 'left' },
{ orient: 'left', scale: 'yscale' }
],
marks: [
{
type: 'rect',
from: { data: 'villes' },
encode: {
enter: {
x: { scale: 'xscale', field: 'nom' },
width: { scale: 'xscale', band: 1 },
y: { scale: 'yscale', field: 'population' },
y2: { scale: 'yscale', value: 0}
}
}
}
]
})
vega = require("vega-embed@6")
viewof vegaLiteView = vega({
$schema: 'https://vega.github.io/schema/vega-lite/v4.json',
width: 360,
data: {
values: DATA
},
mark: 'bar',
encoding: {
x: { field: 'nom', type: 'ordinal' },
y: { field: 'population', type: 'quantitative' },
}
})
bbView = DOM.element('div', { style: `width:${width}px;height:${width/3}px` })
billboard = require('billboard.js')
billboardCss = html`<link href='${resolve('billboard.js/dist/billboard.css')}' rel='stylesheet' />`
billboard.bb.generate({
data: {
json: {
population: DATA.map(({ population }) => population),
},
type: 'bar',
},
axis: {
x: {
type: 'category',
categories: DATA.map(({ nom }) => nom),
}
},
bindto: bbView
})
chartjsCanvas = DOM.canvas(width, width / 2)
chartjs = require('https://cdnjs.cloudflare.com/ajax/libs/Chart.js/2.8.0/Chart.bundle.js')
new chartjs(chartjsCanvas, {
type: 'bar',
data: {
labels: DATA.map(d => d.nom),
datasets: [
{
label: 'Population',
data: DATA.map(d => d.population),
backgroundColor: 'steelblue',
}
]
}
})
chartist = require('chartist')
chartistCss = html`<link rel='stylesheet' href='https://unpkg.com/chartist@0.11.0/dist/chartist.css' />`
new chartist.Bar(chartistDiv, {
labels: DATA.map(d => d.nom),
series: [
DATA.map(d => d.population),
],
})
One platform to build and deploy the best data apps
Experiment and prototype by building visualizations in live JavaScript notebooks. Collaborate with your team and decide which concepts to build out.
Use Observable Framework to build data apps locally. Use data loaders to build in any language or library, including Python, SQL, and R.
Seamlessly deploy to Observable. Test before you ship, use automatic deploy-on-commit, and ensure your projects are always up-to-date.