data analyst • mediapart
lists = {
let data = d3.rollup(raw, v => ({
candidates: v.length,
nuance: v[0]['Nuance Liste'],
candidatesNuances: [ ...new Set(v.map(c => c['Nuance candidat'])) ],
regions: [ ...new Set(v.map(c => c['Libellé de la région'])) ]
}),
d => d['Libellé Etendu Liste'])
return [...data.entries()].map(([name, data])=>({name, ...data}))
}
listsNuances = {
let data = d3.rollup(raw, v => ({
candidates: v.length,
lists: [ ...new Set(v.map(c => c['Libellé Etendu Liste'])) ],
listsShort: [ ...new Set(v.map(c => c['Libellé abrégé liste'])) ],
candidatesNuances: [ ...new Set(v.map(c => c['Nuance candidat'])) ],
regions: [ ...new Set(v.map(c => c['Libellé de la région'])) ]
}),
d => d['Nuance Liste'])
return [...data.entries()].map(([name, data])=>({name, ...data}))
}
candidatesNuances = {
let data = d3.rollup(raw, v => ({
candidates: v.length,
lists: [ ...new Set(v.map(c => c['Libellé Etendu Liste'])) ],
listsNuances: [ ...new Set(v.map(c => c['Nuance Liste'])) ],
regions: [ ...new Set(v.map(c => c['Libellé de la région'])) ]
}),
d => d['Nuance candidat'])
return [...data.entries()].map(([name, data])=>({name, ...data}))
}
regions = {
let data = d3.rollup(raw, v => ({
candidates: v.length,
lists: [ ...new Set(v.map(c => c['Libellé Etendu Liste'])) ],
listsShort: [ ...new Set(v.map(c => c['Libellé abrégé liste'])) ],
listsNuances: [ ...new Set(v.map(c => c['Nuance Liste'])) ],
candidatesNuances: [ ...new Set(v.map(c => c['Nuance candidat'])) ]
}),
d => d['Libellé de la région'])
return [...data.entries()].map(([name, data])=>({name, ...data}))
}
raw = d3.tsvParse(await FileAttachment("regionales-2021.csv").text())
d3 = require('d3')
import {datasetCard} from '@taniki/datagouvfr-oembed'
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.