data analyst • mediapart
Published
Edited
Dec 28, 2021
1 star
vehicules = [
{ name: 'train', display: "🚞🚃🚃🚃🚃", seats: 440 },
{ name: 'airplane', display: "✈️", seats: 350 },
{ name: 'bus', display: "🚎", seats: 150 },
{ name: 'car', display: "🚙", seats: 4 },
{ name: 'bike', display: "🚲", seats: 1 },
]
mutable lastUpdate = new Date()
franceCovid = {
mutable lastUpdate = new Date()
yield d3.csv('https://www.data.gouv.fr/fr/datasets/r/f335f9ea-86e3-4ffa-9684-93c009d5e617')
}
deaths = {
let data = d3.sort(franceCovid, d => d.date).map(d => ({ date: d.date , cum: parseInt(d.dc_tot)||0 }))
data = data.map( (d,i) => {
let date = d.date
let cum = d.cum
let daily = data[i].cum - (data[i-1]?.cum||0)
daily = d3.max([daily, 0])
return { date, cum, daily }
})
return data
}
allVehicules(2555)
allVehicules = (n) => {
let str = ''
let current = n
vehiculesCheckbox.map( v =>{
let nb = Math.floor(current/v.seats)
str += `${v.display} `.repeat(nb)
current -= nb * v.seats
})
return str
}
trains = (n)=>{
'🚞'
return '🚞'+'🚃'.repeat(Math.floor(n/110))
}
d3 = require('d3', 'd3-time')
import {tweet} from '@mbostock/tweet'
import {Range, Select, Checkbox } from '@observablehq/inputs'
import {datasetCard} from '@taniki/datagouvfr-oembed'
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.
