2f:T542,plot1 = Plot.plot({ //aspectRatio:1, width: 920, //height: 610, //projection: proj, marginBottom: 0, title: md`## IVG chirurgicales en établissement de santé`, subtitle: html`

Min 2014: 16% [Bas Rhin] - Max 2014: 67% [Aube]
Min 2023: 7% [Guyane] - Max 2023: 49% [Indre et Loire]

`, color: { type: "quantize", n: 5, unknown: "#ddd", // Polygons with unknown broadband values are gray legend: true, label: "%", domain: [0,100], scheme: "reds", range: ['#fee5d9','#fcae91','#fb6a4a','#cb181d', '#cb181d'] }, marks: [ //Plot.frame(), Plot.geo(df1, { geometry: (d) => features.get(d.id), fill: "pivg", fx: "Année", strokeWidth: .3, stroke: "#919191", tip: {format: {fill: false, fx: false}, stroke: "#421f5c", fontSize: 14, lineHeight: 1.2}, channels: { reg_lab: {value: "reg_lab", label: "Région:" } , libgeo: {value: "libgeo", label: "Département:"} , pivg: {value: "pivg", label: "% IVG:"} , }, }), Plot.geo(a_reg, { strokeWidth: .3, stroke: "#1c0d28", }), Plot.geo(fra, { strokeWidth: .3, stroke: "#1c0d28", }), ] }) 30:T540,plot2 = Plot.plot({ //aspectRatio:1, width: 900, //height: 610, //projection: proj, marginBottom: 0, title: md`## IVG médicamenteuses en établissement de santé`, subtitle: html`

Min 2014: 19% [Hautes Alpes] - Max 2014: 80% [Bas Rhin]
Min 2023: 12% [Guyane] - Max 2023: 75% [Orne]

Min 2014: 1% [Cantal] - Max 2014: 54% [Hautes Alpes]
Min 2023: 4% [Haute Vienne] - Max 2023: 81% [Guyane]

`, color: { type: "quantize", n: 5, unknown: "#ddd", // Polygons with unknown broadband values are gray legend: false, label: "%", domain: [0,100],// Add the legend range: ['#fee5d9','#fcae91','#fb6a4a','#cb181d', '#cb181d'] }, marks: [ //Plot.frame(), Plot.geo(df3, { geometry: (d) => features.get(d.id), fill: "pivg", fx: "Année", strokeWidth: .3, stroke: "#919191", tip: {format: {fill: false, fx: false} , stroke: "#421f5c", fontSize: 12,lineHeight: 1.2}, channels: { reg_lab: {value: "reg_lab", label: "Région:" } , libgeo: {value: "libgeo", label: "Département:"} , pivg: {value: "pivg", label: "% IVG:"} , }, }), Plot.geo(a_reg, { strokeWidth: .3, stroke: "#1c0d28", }), Plot.geo(fra, { strokeWidth: .3, stroke: "#1c0d28", }), ] })32:T866,33:T5ce,plot4 = Plot.plot({ //aspectRatio:1, width: 700, height: 1000, fy: {label: null, grid: false}, //grid: true, //projection: {type: "equirectangular", domain: features } , title: md`## Figure 4. Répartition des IVG par méthode et lieu, selon le département de résidence, en 2014 et 2023 (%)`, color: { type: "quantize", n: 5, unknown: "#ddd", // Polygons with unknown broadband values are gray legend: true, label: "%", domain: [0,100],// Add the legend //range: ["#efebf2", "#c5b7d0", "#977daa", "#421f5c", "#421f5c"] scheme: "Reds", }, marks: [ //Plot.frame(), Plot.geo(df, { geometry: (d) => features.get(d.id), fill: "pivg", fx: "Année", fy: "type_lab", strokeWidth: .3, stroke: "#919191", tip: {format: {fill: false, fx: false}, stroke: "red", lineHeight: 1.2, lineWidth:25}, channels: { reg_lab: {value: "reg_lab", label: "Région:" } , libgeo: {value: "libgeo", label: "Département:"} , pivg: {value: "pivg", label: "Pourcentage:"} , }, }), Plot.geo(a_reg, { strokeWidth: .3, stroke: "#1c0d28", }), Plot.geo(fra, { strokeWidth: .3, stroke: "#1c0d28", }), Plot.text(["2014"], {fx:["2014"], fy: ["IVG chirurgicales en établissement de santé"], dy: -10, frameAnchor: "top-left"}) ] 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2d:{"title":"Carte IVG en small multiples","cells":[{"id":0,"value":"# Carte IVG en small multiples","pinned":false,"hidden":false,"mode":"md"},{"id":4,"value":"fond = FileAttachment(\"blabla.json\").json()","pinned":true,"hidden":false,"mode":"ojs"},{"id":6,"value":"dep = topojson.feature(fond, fond.objects.collection)","pinned":true,"hidden":false,"mode":"ojs"},{"id":18,"value":"features = new Map(dep.features.map((d) => [d.id, d]))","pinned":true,"hidden":false,"mode":"ojs"},{"id":224,"value":"df = FileAttachment(\"ivg.csv\").csv().then(data => data.map(d => ({\n id: d.id.slice(-5),\n type: d.type,\n Année: d.Année,\n type_lab: d.type_lab,\n pivg: +d.pivg,\n libgeo: d.libgeo, \n reg_lab: d.reg_lab,\n})))","pinned":false,"hidden":false,"mode":"ojs"},{"id":24,"value":"df1 = FileAttachment(\"ivg_type1@1.csv\").csv().then(data => data.filter(d => d.pivg !== null).map(d => ({\n id: d.id.slice(-5),\n type: d.type,\n Année: d.Année,\n type_lab: d.type_lab,\n pivg: +d.pivg,\n libgeo: d.libgeo, \n reg_lab: d.reg_lab,\n})))","pinned":false,"hidden":false,"mode":"ojs"},{"id":116,"value":"df2 = FileAttachment(\"ivg_type2@1.csv\").csv().then(data => data.filter(d => d.pivg !== null).map(d => ({\n id: d.id.slice(-5),\n type: d.type,\n Année: d.Année,\n type_lab: d.type_lab,\n pivg: +d.pivg,\n libgeo: d.libgeo, \n reg_lab: d.reg_lab,\n})))","pinned":false,"hidden":false,"mode":"ojs"},{"id":119,"value":"df3 = FileAttachment(\"ivg_type3@1.csv\").csv().then(data => data.map(d => ({\n id: d.id.slice(-5),\n type: d.type,\n Année: d.Année,\n type_lab: d.type_lab,\n pivg: +d.pivg,\n libgeo: d.libgeo, \n reg_lab: d.reg_lab,\n})))","pinned":false,"hidden":false,"mode":"ojs"},{"id":305,"value":"min1 = d3.min(df1, d => d.pivg)","pinned":true,"hidden":false,"mode":"ojs"},{"id":310,"value":"max1 = d3.max(df1, d => d.pivg)","pinned":true,"hidden":false,"mode":"ojs"},{"id":312,"value":"minIndex1 = df1[d3.minIndex(df1, d => d.pivg)]","pinned":true,"hidden":false,"mode":"ojs"},{"id":314,"value":"depMin1 = minIndex1.libgeo","pinned":true,"hidden":false,"mode":"ojs"},{"id":334,"value":"maxIndex1 = df1[d3.maxIndex(df1, d => d.pivg)]","pinned":true,"hidden":false,"mode":"ojs"},{"id":336,"value":"depMax1 = minIndex1.libgeo","pinned":true,"hidden":false,"mode":"ojs"},{"id":217,"value":"## Figure 4. Répartition des IVG par méthode et lieu, selon le département de résidence, en 2014 et 2023 (%)","pinned":false,"hidden":false,"mode":"md"},{"id":77,"value":"$2f","pinned":true,"hidden":false,"mode":"ojs"},{"id":124,"value":"$30","pinned":true,"hidden":false,"mode":"ojs"},{"id":128,"value":"$31","pinned":true,"hidden":false,"mode":"ojs"},{"id":220,"value":"J. Chaput, É. Baril, M. Mazuy, Population & Sociétés, n° 627, novembre 2024, Ined. \n***Note de lecture*** : En 2014, 32 % des IVG des femmes résidant en Corse du Sud ont été réalisées par méthode chirurgicale, contre 18 % en 2023. \n***Source*** : SNDS ; calculs des auteures.","pinned":false,"hidden":false,"mode":"md"},{"id":139,"value":"reg = FileAttachment(\"regions2_topo.json\").json()","pinned":true,"hidden":false,"mode":"ojs"},{"id":208,"value":"a_reg = topojson.feature(reg, reg.objects.regions2)","pinned":true,"hidden":false,"mode":"ojs"},{"id":140,"value":"fra = topojson.mesh(fond, fond.objects.collection, \n (a, b) => a === b)","pinned":true,"hidden":false,"mode":"ojs"},{"id":98,"value":"$32","pinned":true,"hidden":false,"mode":"html"},{"id":226,"value":"$33","pinned":true,"hidden":false,"mode":"ojs"},{"id":499,"value":"topojson","pinned":true,"hidden":false,"mode":"ojs"}],"files":"$W34","stdlib":"1","titling":"auto"}