data analyst • mediapart
Inputs.table(instituts)
instituts = [... new Set(sondages.map(s => s.nom_institut))]
.map(i => ({
institut: i,
sondages: sondages.filter(s => s['nom_institut'] == i),
regions: [...new Set(sondages.filter(s => s['nom_institut'] == i).map(s => s.region))]
}))
.sort((a,b) => b.sondages.length - a.sondages.length)
Inputs.table(commanditaires)
regionsMinint.map(r => r.name)
[...new Set(sondages.map(s => s['region']))]
regionsNom = regionsMinint.map(r => r.name)
regions = regionsNom //[...new Set(sondages.map(s => s['region']))]
.map(r => ({
region: r,
sondages: sondages.filter(s => s['region'] == r)
}))
Inputs.table(tetes)
tetes = sondages.map(s => s.tours.map(t => t.hypotheses.map(h => h.tetes_liste.map(tl => ({region: s.region, tour: t.tour, ...tl}))))).flat(11)
tours = [... new Set(sondages.map(s => s.tours.map(t => t.tour)).flat(3))]
.map(t => ({
tour: t,
hypotheses: hypotheses.filter(h => h.tour == t)
}))
nsp = hypotheses.map(h => ({
sondage: h.sondage,
'somme == 100': d3.sum(h.tetes_liste.map(c => c.intentions)) == 100,
'nsp': h.tetes_liste.find(c => c.tete_liste == undefined)
}))
[... new Set(nsp.filter(s => !s['somme == 100']).map(s => s.sondage))].length
[...new Set(nsp.filter(s => s['nsp']).map(s=>s.sondage))]
.map(s => sondages.find(s2 => s2.id == s))
[...new Set(nsp.filter(s => s['nsp']).map(s=>s.sondage))].length
sondages.length
import { sondages } from '@taniki/regionales2021-sondages'
import { regions as regionsMinint } from '@taniki/regionales2021-donnees-minint'
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