2f:T682,30:Tce3,Plot.plot({ marginLeft:30, marginRight:30, marfginBottom:10, width: 800, height: 0.725*800, x: {axis: false}, y: {axis: false, grid: true}, marks: [ () => htl.svg` `, () => htl.svg` `, () => htl.svg` `, Plot.areaX(df, { x: (d) => -d.hommes -15000, y: d=> d.age-2, dx: -5, curve:'step', fill: "url(#gradient3)", fillOpacity: 1, stroke: "black", strokeWidth: .5 , }), Plot.areaX(df, { x: (d) => d.femmes +15000, y: d=> d.age -2 , dx: 5, curve:'step', fill: "url(#gradient3)", fillOpacity: 1, stroke: "black", strokeWidth: .5 , }), Plot.areaX(df, { x: (d) => -d.hommes -10000, y: d=> d.age-1, dx: -5, curve:'step', fill:"url(#gradient2)", fillOpacity: 1, stroke: "black", strokeWidth: .5 , }), Plot.areaX(df, { x: (d) => d.femmes +10000, y: d=> d.age -1 , dx: 5, curve:'step', fill: "url(#gradient2)", fillOpacity: 1, stroke: "black", strokeWidth: .5 , }), Plot.areaX(df, { x: (d) => -d.hommes, y: "age", dx: -5, curve:'step', fill: "url(#gradient)", fillOpacity: 1, stroke: "black", strokeWidth: .5 , }), Plot.areaX(df, { x: (d) => d.femmes, y: "age", dx: 5, curve:'step', fill: "url(#gradient)", fillOpacity: 1, stroke: "black", strokeWidth: .5 , }), Plot.ruleY([0], {x1: -5000, x2: 5000, y:100, strokeWidth:2, stroke: color[0]}), Plot.ruleY([0], {x1: -5000, x2: 5000, y:90, strokeWidth:2}), Plot.ruleY([0], {x1: -5000, x2: 5000, y:80, strokeWidth:2, stroke: color[0]}), Plot.ruleY([0], {x1: -5000, x2: 5000, y:70, strokeWidth:2}), Plot.ruleY([0], {x1: -5000, x2: 5000, y:60, strokeWidth:2, stroke: color[0]}), Plot.ruleY([0], {x1: -5000, x2: 5000, y:50, strokeWidth:2}), Plot.ruleY([0], {x1: -5000, x2: 5000, y:40, strokeWidth:2, stroke: color[0]}), Plot.ruleY([0], {x1: -5000, x2: 5000, y:30, strokeWidth:2}), Plot.ruleY([0], {x1: -5000, x2: 5000, y:20, strokeWidth:2, stroke: color[0]}), Plot.ruleY([0], {x1: -5000, x2: 5000, y:10, strokeWidth:2}), Plot.ruleY([0], {x1: -5000, x2: 5000, y:0, strokeWidth:2, stroke: color[0]}) ] })31:[{"id":"68f1f3178a00a6adeb08646b571ff926dde9df997d869eb80f5ceab9aba5b07770dd8b9dbfa80bdbdb45580f8967fbc0fcb9bb92310703da07a14bc55a46a059","href":"https://static.observableusercontent.com/files/68f1f3178a00a6adeb08646b571ff926dde9df997d869eb80f5ceab9aba5b07770dd8b9dbfa80bdbdb45580f8967fbc0fcb9bb92310703da07a14bc55a46a059","name":"circle-info.svg","type":"image/svg+xml","lastModified":1767955286289.658,"size":555},{"id":"64bba7f3fd7790f2f1b3dcf3753ab5404e3f036754f6d7a15b51994db6abbd5d416b71579be363f5ac808160049e9b4b704b4ac3136041695dfcbd4af6abc570","href":"https://static.observableusercontent.com/files/64bba7f3fd7790f2f1b3dcf3753ab5404e3f036754f6d7a15b51994db6abbd5d416b71579be363f5ac808160049e9b4b704b4ac3136041695dfcbd4af6abc570","name":"n631_4@2.csv","type":"text/csv","lastModified":1767955286289.658,"size":2991},{"id":"b9dc0e18aa93004275a48816f880180ae106bc52dd537c92c77eaa76570187a322526ef914d5b111466d9e15592ae9a9f5b5974dbf9d3ef19382c5d469bd0c73","href":"https://static.observableusercontent.com/files/b9dc0e18aa93004275a48816f880180ae106bc52dd537c92c77eaa76570187a322526ef914d5b111466d9e15592ae9a9f5b5974dbf9d3ef19382c5d469bd0c73","name":"ages@12.csv","type":"text/csv","lastModified":1767955286289.658,"size":4410}] 2d:{"title":"Pyramide pour liste","cells":[{"id":0,"value":"# Pyramide pour liste\n","pinned":false,"hidden":false,"mode":"md"},{"id":1297,"value":"data = FileAttachment(\"n631_4@2.csv\").csv({typed:true}) ","pinned":true,"hidden":false,"mode":"ojs"},{"id":1328,"value":"df = data.map(d=> ({\n age: d.age,\n annee: d.annee,\n anneeLab: d.annee.toString(),\n hommes: d.hommes,\n femmes: d.femmes,\n comment: d.comment,\n yc: d.yc,\n xc: d.xc,\n \n}))","pinned":false,"hidden":false,"mode":"ojs"},{"id":5,"value":"df2 = FileAttachment(\"ages@12.csv\").csv({ typed: true })","pinned":false,"hidden":false,"mode":"ojs"},{"id":960,"value":"color = [\n \"#ff564e\", //rouge\n \"#ff7aad\", //rose\n \"#522673\", //mauve\n \"#0042eb\", //bleu\n \"#5cd49e\", //vert\n \"#ffb322\", //jaune\n \"#4f4f4f\", //gray\n \"#8a8a8a\",//gray light\n \"#0036bc\", // blue dark\n]","pinned":false,"hidden":false,"mode":"ojs"},{"id":910,"value":"title4 = html`Population de la France - Évaluation provisoire au 1er janvier 2025 [Et rendu du graph encore très provisoire]`","pinned":false,"hidden":false,"mode":"ojs"},{"id":1113,"value":"info = FileAttachment(\"circle-info.svg\").url()","pinned":false,"hidden":false,"mode":"ojs"},{"id":1366,"value":"

\nGilles Pison, Laurent Toulemon, Population & Sociétés, n° 631, mars 2025, Ined.
\nChamp : France entière.
\nSource : Insee, estimations de population.\n

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