2f:Tb11,plot1 = Plot.plot({ width: width, height: height, marginRight: 35, marginTop: 40, color: {legend: true, domain: ["Naissances", "Décès"], range: [color[0], color[3]]}, y: {label: null, domain: [500,900], grid: true}, x: {tickFormat: "d", label: null, domain: [1970, 2070]}, marks: [ Plot.ruleY([900], {stroke:"white", strokeWidth:2}), // Naissances Plot.lineY(df1, {filter: d=> d.stat === "naissance" && d.type==="Observations" , x: "année", y: "n", curve: "natural", stroke: color[0], strokeWidth: strokeW}), Plot.lineY(df1, {filter: d=> d.stat === "naissance" && d.type==="Projections" , x: "année", y: "n", stroke: color[0], strokeDasharray: [5,5], strokeWidth: strokeW }), // Décès Plot.lineY(df1, {filter: d=> d.stat === "décès" && d.type==="Observations" , x: "année", y: "n", curve:"natural", stroke: color[3], strokeWidth: strokeW }), Plot.lineY(df1, {filter: d=> d.stat === "décès" && d.type==="Projections" , x: "année", y: "n", stroke: color[3], strokeDasharray: [2,5], strokeWidth: strokeW }), // artefact pour tip Plot.lineY(df1, {x: "année", y: "n", z: "statType", stroke: "transparent", channels: { année: {value: "année", label: "Année:"}, stat: {value: "stat", label: "Indicateur:"}, type: {value: "type", label: "Type:"}, n: {value: "n", label: "Nombre:" } }, tip: {format: {x:false, y: false, z: false, année: "d", n: (d) => `${d} 000` }, fontSize: 5} }), Plot.ruleX([2024.1], {y1: 525, y2: 890, strokeWidth:.5}), Plot.text(["Observations"], {x: d =>1970, y: d=>915, textAnchor: "start"}), Plot.text(["Projections"], {x: d =>2070, y: d=>915, textAnchor: "end"}), Plot.text(["Scénario 2024"], {x: d =>2070, y: d=>885, textAnchor: "end"}), Plot.arrow([1],{x2: d=>1970.2, x1:d=>2023.7, y1: d=>900, y2: d=>900, stroke: "#555", strokeWidth: 1}), Plot.arrow([1],{x1: d=>1970.2, x2:d=>2023.7, y1: d=>900, y2: d=>900, stroke: "#555", strokeWidth: 1}), Plot.arrow([1],{x2: d=>2024.5, x1:d=>2070, y1: d=>900, y2: d=>900, stroke: "#555", strokeWidth: 1}), Plot.arrow([1],{x1: d=>2024.5, x2:d=>2070, y1: d=>900, y2: d=>900, stroke: "#555", strokeWidth: 1}), Plot.text(["Fin du baby boom"], {x: d =>1980, y: d=>870, lineWidth:6, textAnchor:"start"}), Plot.arrow([1],{x2: d=>1973, x1:d=>1979.5, y1: d=>870, y2: d=>870, bend: -20,}), Plot.text(["2024"], {x:d=>2024.1, y: d=>510, dy: 0}), Plot.text(["↑ En milliers par an"], {x:1970, dx:-39, y:935, textAnchor:"start", fontSize:12}), Plot.ruleY([500]), Plot.ruleX([1970]) ] })30:T5a2,plot2b = Plot.plot({ width: width, height: height, marginTop:10, x: {tickFormat: "d", label: null, domain: [2020, 2070], inset: 20, grid: true}, y:{domain: [55,80], grid: true, label: null}, marks: [ Plot.lineY(data2, {x: "année", y: "n", z: "scenario", stroke: "transparent", strokeWidth:2.8, channels:{ année: {value: "année", label: "Année:"}, scenario: {value: "scenario", label: "Scénario:"}, n: {value: "n", label: "Population:"}, }, tip: {format: {x: false, y: false, année: "d", z: false, n: (d) => `${d} millions`, }, fontSize: 12} }), Plot.line(data2, {filter: d=> d.scenario === "Scénario haut Insee 2021" ,x: "année", y: "n", stroke: color[6], strokeWidth: strokeW, strokeDasharray: [3,6]}), Plot.line(data2, {filter: d=> d.scenario === "Scénario 2024 auteurs" ,x: "année", y: "n", stroke: color[0], strokeWidth:strokeW}), Plot.line(data2, { filter: d => d.scenario ==="Scénario central Insee 2021",x: "année", y: "n", stroke: color[3], strokeWidth:strokeW}), Plot.line(data2, {filter: d => d.scenario ==="Scénario bas Insee 2021",x: "année", y: "n", stroke: color[7], strokeWidth:strokeW, strokeDasharray: [9,3]}) , Plot.ruleY([55]) ] })31:T713,plot3 = Plot.plot({ width: width, height: height, marginTop: 27, marginRight:35, color: {legend: true, domain: ["Femmes", "Hommes"], range: ["#5bd39e", "#512672"]}, x: {tickFormat: "d", label: null, domain: [1994,2024]}, y: {grid: true, domain: [70,88]}, marks: [ Plot.lineY(df3, { x: "années", y: "femmes", fontSize:14, stroke:color[5], strokeWidth: strokeW, curve: "natural", channels: { années: {value: "années", label: "Année:"}, femmes: {value: "femmes", label: "Femmes:"}, }, tip: {format: {années: "d", y: false, x: false, femmes: (d) => `${d} ans`}, fontSize: 12} }), Plot.lineY(df3, { x: "années", y: "hommes", stroke:color[3], strokeWidth:strokeW, curve: "natural", channels: { années: {value: "années", label: "Année:"}, hommes: {value: "hommes", label: "Hommes:"}, }, tip: {format: {années: "d", y: false, x: false, hommes: (d) => `${d} ans`}, fontSize: 12} }), Plot.text(["2003 Canicule"], {x: d =>2003, y: d=>79.25, fontSize: 10, lineWidth:6}), Plot.arrow([1],{x2: d=>2003, x1:d=>2003, y1: d=>78.1, y2: d=>75.9, bend: 0,}), Plot.arrow([1],{x2: d=>2003, x1:d=>2003, y1: d=>80.6, y2: d=>82.8, bend: 0,}), Plot.text(["2020 Covid-19"], {x: d =>2020, y: d=>82, fontSize: 12, lineWidth:6}), Plot.arrow([1],{x2: d=>2020, x1:d=>2020, y1: d=>83.2, y2: d=>85, bend: 0,}), Plot.arrow([1],{x2: d=>2020, x1:d=>2020, y1: d=>81, y2: d=>79.2, bend: 0,}), Plot.text(["↑ Espérance de vie"], {x: d =>1994, dx: -25, y: d=>89, fontSize:12, textAnchor:"start"}), Plot.ruleY([70]), Plot.ruleX([1994]) ] }) 32:T663,plot5 = Plot.plot({ width: width, height:height, marginTop: 40, marginLeft:35, marginRight:32, marginBottom:20, x: {tickFormat:"d", domain: [1925,2021], label: null}, y: {domain:[0,900], grid: true, label: "↑ Nombre annuel de décès \n pour 10000 habitants*"}, marks: [ Plot.line(df5, {filter: d=> d.type === "Cancers", x: "annee", y: "n", curve: "natural", stroke: color[3], strokeDasharray: [4,4],strokeWidth: strokeW, }), Plot.line(df5, {filter: d=> d.type === "Cardiovasculaires", x: "annee", y: "n", curve: "natural", stroke: color[0], strokeDasharray: [5,3], strokeWidth: strokeW, }), Plot.line(df5, {filter: d=> d.type === "Infectueuses et respiratoires" ,x: "annee", y: "n", curve: "natural", stroke: color[5], strokeWidth: strokeW, }), // courbe transparent pour tip unique Plot.line(df5, {x: "annee", y: "n", curve: "natural", stroke: "transparent", channels:{ annee: {value: "annee", label: "Année:"}, type: {value: "type", label: "Maladie:"}, n: {value: "n", label: "Nbr pour 10000 habitants: "}, }, tip: {format:{x:false, y: false, annee: "d"}, fontSize: 12}}), //Plot.text(["↑ Nombre annuel de décès pour 10000 hbts*"], {x: 1922, y: 970, textAnchor: "start"}), Plot.arrow([1], {x:2021, y1:250, y2:100, bend:50}), Plot.text(["Epidémie\nCovid-19"], {x:2020, y:260, textAnchor: "end", fontSize:11}), Plot.ruleY([0]), Plot.ruleX([1925]) ] })33:T614,","pinned":false,"hidden":false,"mode":"html"},{"id":302,"value":"## Figure 3. Évolution de l’espérance de vie à la naissance en France depuis 2000","pinned":false,"hidden":false,"mode":"md"},{"id":304,"value":"df3 = FileAttachment(\"n631_3.csv\").csv({typed: true})","pinned":false,"hidden":false,"mode":"ojs"},{"id":306,"value":"$31","pinned":false,"hidden":false,"mode":"ojs"},{"id":688,"value":"

\nGilles Pison, Laurent Toulemon, Population & Sociétés, n° 631, mars 2025, Ined.
\nSource : Insee.\n \n

","pinned":false,"hidden":false,"mode":"html"},{"id":331,"value":"### Figure 4","pinned":false,"hidden":false,"mode":"md"},{"id":324,"value":"## Pyramide des âges\n\n* Dans un autre notebook, la css est trop spécifique. \n* ","pinned":false,"hidden":false,"mode":"md"},{"id":333,"value":"## Figure 5. Évolution de la mortalité par causes de décès en France de 1925 à 2021","pinned":false,"hidden":false,"mode":"md"},{"id":800,"value":"df5 = FileAttachment(\"n631_5b.csv\").csv({typed: true})","pinned":true,"hidden":false,"mode":"ojs"},{"id":397,"value":"legend5 = Plot.plot({\n\n marginLeft: 0,\n marginTop: 0,\n height:50,\n width: 450,\n y: {axis: false, domain: [2.8,4.2]},\n x: {domain: [0,4], axis: false}, \n marks: [\n\nPlot.ruleY([4], {x1: 0 , x2:.48, stroke: color[5], strokeWidth:3}), \nPlot.text([\"Maladies infectueuses et respiratoires\"], {x:0.7, y: 4, textAnchor: \"start\", fontSize: 13}), \n\nPlot.ruleY([3.5], {x1: 0 , x2:.48, stroke: color[3], strokeDasharray: [4,4], strokeWidth:3}), \nPlot.text([\"Cancers\"], {x:0.7, y: 3.5, textAnchor: \"start\", fontSize: 13}), \n\nPlot.ruleY([3], {x1: 0 , x2:.48, stroke: color[0], strokeDasharray: [4,4], strokeWidth:3}), \nPlot.text([\"Maladies cardiovasculaires\"], {x:0.7, y: 3, textAnchor: \"start\", fontSize: 13}), \n \n ]\n})","pinned":false,"hidden":false,"mode":"ojs"},{"id":803,"value":"$32","pinned":true,"hidden":false,"mode":"ojs"},{"id":685,"value":"

\nGilles Pison, Laurent Toulemon, Population & Sociétés, n° 631, mars 2025, Ined.
\nNote : * taux standardisés de mortalité, calculés à partir des taux par âge observés chaque année à une structure par âge fixe.
\nSources : Inserm-CepiDc, Breton et al. 2024 [4\n \n

","pinned":false,"hidden":false,"mode":"html"},{"id":33,"value":"$33","pinned":false,"hidden":false,"mode":"html"}],"files":"$W34","stdlib":"1","titling":"auto"}