data analyst • mediapart
data = {
return sondages.slice(0, sondagesNb)
.map(s => s.tours[0].hypotheses.map(h => h.candidats.map(c =>({sondage: s.id, hypothese: h.hypothese, ...c}))))
.flat(10)
}
moyennes = [...d3.rollup(data, v => ({
echantillons: v.length,
moyenne: d3.mean(v.map(c=>c.intentions)),
inf:d3.mean(v.map(c=>c.erreur_inf)),
sup:d3.mean(v.map(c=>c.erreur_sup))
}),
c => c.candidat)
]
.map(x => ({candidat: x[0], ...x[1]}))
.filter(c => candidatsSelected.includes(c.candidat))
.sort((a,b)=> b.moyenne - a.moyenne)
t2 = {
return sondages.slice(0, sondagesNb)
.map(s => s.tours[1].hypotheses.map(h => h.candidats.map(c =>({sondage: s.id, hypothese: h.hypothese?.replace(' / ', '-'), ...c}))))
.flat(10)
}
moyennes2 = [...d3.rollup(t2, v => ({
echantillons: v.length,
moyenne: d3.mean(v.map(c=>c.intentions)),
inf:d3.mean(v.map(c=>c.erreur_inf)),
sup:d3.mean(v.map(c=>c.erreur_sup))
}), c => c.candidat)].map(x => ({candidat: x[0], ...x[1]}))
.filter(c => candidatsSelected.includes(c.candidat))
.sort((a,b)=> b.moyenne - a.moyenne)
intentionsChart = (candidat) => {
let current = data.filter(s => s.candidat == candidat)
let h = current.length * 30
let plot = Plot.plot({
height: h,
marginRight: 250,
x: {
domain: [0, 50],
grid: true,
label: "intentions de vote",
labelAnchor: 'center'
},
y: {
type: 'band',
axis: 'right',
padding: 0.25,
domain: current.map(s => `${s.sondage} : ${s.hypothese}`)
},
marks:[
Plot.ruleX([moyennes.find(c=> c.candidat == candidat).inf, moyennes.find(c=> c.candidat == candidat).sup], {stroke: 'red', strokeOpacity: 0.2 }),
// Plot.bar(current, { x1: 'erreur_inf', x2: 'erreur_sup', y: s => `${s.sondage} : ${s.hypothese}`, fill: '#ccc'}),
Plot.barX(current, { x1: 'erreur_inf', x2: 'erreur_sup', y: s => `${s.sondage} : ${s.hypothese}`, fill: '#ccc'}),
Plot.tickX(current, { x: 'intentions', y: s => `${s.sondage} : ${s.hypothese}` }),
Plot.ruleX([moyennes.find(c=> c.candidat == candidat).moyenne], {stroke: 'red', strokeOpacity: 0.5 })
]
})
return plot
}
Inputs.table(sondages)
sondages = sondages_.sort((a,b) => b.fin_enquete.localeCompare(a.fin_enquete))
import { candidats, sondages as sondages_ } from '@taniki/presidentielles2022-sondages-suivi'
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.
