Mémoire de maîtrise de Valentine Desmorat (en cours) « L'entrée des femmes artistes dans la collection du Musée d'art contemporain, de 1964 à nos jours : analyse statistique et facteurs déterminants »
Co-créations avec Lena Krause
Public
Edited
May 17, 2024
1 star
LineChart(indexParAnnee.filter(d => d.annee != 1992), {
x: d => d.annee,
y: d => d.nbOeuvres,
z: d => d.medium,
yLabel: "↑ Acquisitions (nb)",
width,
height: 500,
stroke:"medium"
})
Type JavaScript, then Shift-Enter. Ctrl-space for more options. Arrow ↑/↓ to switch modes.
import {LineChart} from "@d3/multi-line-chart"
chart2 = Streamgraph(indexCumulatif, {
x: d => d.annee,
y: d => d.cumul,
z: d => d.medium,
yLabel: "↑ Nombre d'œuvres",
width,
height: 600,
color: {
legend: true
}
})
dataGraphiqueStacked = {
var resultat
if (lavallinEt1992)
resultat = indexGroupeParAnnee
else {
resultat = indexGroupeParAnnee.filter(d => d.Annee != 1992)
}
//filtre mediums
//resultat = resultat.filter(d => selectMedium.includes(d.categorie))
resultat.columns = selectMedium
return resultat
}
arc = d3.arc()
.innerRadius(d => y(d[0]))
.outerRadius(d => y(d[1]))
.startAngle(d => x(d.data.Annee))
.endAngle(d => x(d.data.Annee) + x.bandwidth())
.padAngle(0.01)
.padRadius(innerRadius)
x = d3.scaleBand()
.domain(dataGraphiqueStacked.map(d => d.Annee))
.range([0, 2 * Math.PI])
.align(0)
// This scale maintains area proportionality of radial bars
y = d3.scaleRadial()
.domain([0, d3.max(dataGraphiqueStacked, d => d.Total)])
.range([innerRadius, outerRadius])
dataGraphiqueStacked.columns.slice(1)
z = d3.scaleOrdinal()
.domain(dataGraphiqueStacked.columns.slice(1))
.range(d3.schemeSet3)
height = width
innerRadius = 180
outerRadius = Math.min(width, height) / 2
indexGroupeParAnnee
indexGroupeParAnnee = {
var resultat = []
dates.forEach(a => {
var courant = indexParAnnee.filter(d => d.annee == a)
var anneeEnCours = {
Annee: a
}
var totalAnnuel = 0
mediums.forEach( m => {
var medium = m
var mediumEnCours = courant.find( c => c.medium == m)
if (mediumEnCours){
anneeEnCours[m] = mediumEnCours.nbOeuvres
totalAnnuel += mediumEnCours.nbOeuvres
}
else
anneeEnCours[m] = 0
})
anneeEnCours.Total = totalAnnuel
resultat.push(anneeEnCours)
})
resultat.columns = ["Annee"]
mediums.forEach(m => resultat.columns.push(m))
return resultat
}
chronopoints = Plot.plot({
height: 1500,
width: 1200,
marks: [
Plot.dotX(test, Plot.dodgeY({x:"dateAcquisition", title:"titre", fill:"categorie"}) )
],
x: {domain: [1960, 2023]}, //1600-2022
y: {
tickRotate: 90,
},
marginBottom: 50,
color: {
legend: true
}
})
Plot.plot({
height: 280,
width:1000,
marks: [
Plot.dotX(test, Plot.dodgeY({x: "dateAcquisition", title: "titre", fill: "categorie"}))
]
})
test = oeuvresMacEtudiees.sort((a,b) => {
if (a.categorie < b.categorie)
return -1
if (a.categorie > b.categorie)
return 1
return 0
})
mediums = Array.from(new Set (oeuvresMacEtudiees.map (oeuvre => oeuvre.categorie)))
dates = Array.from(new Set (oeuvresMacEtudiees.map (oeuvre => oeuvre.dateAcquisition))).sort()
tParser = d3.timeParse("%d/%m/%Y")
tParser(1999)
import {palette10couleurs} from "26cecfbef9723965"
import {oeuvresMacEtudiees} from "1cd6c83a4402c258"
import {oeuvresMac} from "9672f0ddecee73e3"
import {Streamgraph} from "@d3/streamgraph"
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