diff --git a/src/individus.ts b/src/individus.ts
index d89c3e4..99e65a3 100644
--- a/src/individus.ts
+++ b/src/individus.ts
@@ -1,10 +1,14 @@
 import './style.css';
 import { generate } from "./individual";
 import Chart from "chart.js/auto";
+import ChartDataLabels from "chartjs-plugin-datalabels";
 import { jStat } from "jstat";
-
+import { MatrixController, MatrixElement } from 'chartjs-chart-matrix';
 const individus = generate(1000);
 
+// Fonction utilitaire pour afficher les pourcentages
+const percentage = (value: number, total: number) => ((value / total) * 100).toFixed(1) + "%";
+
 function formatStats(ages: number[]) {
   return {
     "total": ages.length,
@@ -35,9 +39,14 @@ function histogramData(ages: number[]) {
   );
 }
 
-const ctx = document.getElementById("ageChart") as HTMLCanvasElement;
+Chart.register(ChartDataLabels,MatrixController, MatrixElement);
 
-new Chart(ctx, {
+Chart.defaults.set('plugins.datalabels', {
+  color: "#fff",
+  font: { weight: "bold" }
+});
+
+new Chart(document.getElementById("ageChart") as HTMLCanvasElement, {
   type: "bar",
   data: {
     labels: ageClasses.map(a => `${a}-${a+2}`),
@@ -58,6 +67,7 @@ new Chart(ctx, {
     responsive: true,
     plugins: {
       title: { display: true, text: "Distribution des âges par sexe" },
+      datalabels: false
     },
     scales: {
       x: { stacked: false },
@@ -65,3 +75,157 @@ new Chart(ctx, {
     },
   },
 });
+
+const hommes = individus.filter(i => i.sexe === "M").length;
+const femmes = individus.length - hommes;
+
+new Chart(document.getElementById("genreChart") as HTMLCanvasElement, {
+  type: "doughnut",
+  data: {
+    labels: ["Hommes", "Femmes"],
+    datasets: [{
+      data: [hommes, femmes],
+      backgroundColor: ["#4A90E2", "#FF69B4"],
+    }],
+  },
+  options: {
+    plugins: { legend: { position: "bottom" },
+    datalabels: {
+        formatter: (value, context) => {
+          const total = context.chart.data.datasets[0].data.reduce((a: number, b: number) => a + b, 0);
+          return percentage(value, total);
+        }
+      }
+    },
+  },
+});
+
+const jeunes = individus.filter(i => i.age <= 30).length;
+const adultes = individus.filter(i => i.age > 30 && i.age <= 60).length;
+const seniors = individus.filter(i => i.age > 60).length;
+
+new Chart(document.getElementById("classeChart") as HTMLCanvasElement, {
+  type: "doughnut",
+  data: {
+    labels: ["Jeunes (≤30)", "Adultes (31–60)", "Seniors (>60)"],
+    datasets: [{
+      data: [jeunes, adultes, seniors],
+      backgroundColor: ["#81C784", "#FFD54F", "#E57373"],
+    }],
+  },
+  options: {
+    plugins: { legend: { position: "bottom" } },
+  },
+});
+
+new Chart(document.getElementById("wealthChart") as HTMLCanvasElement, {
+  type: "doughnut",
+  data: {
+    labels: ["15000", "25000", "37000", "55000"],
+    datasets: [{
+      data: [
+        individus.filter(i => i.richesse == 0).length,
+        individus.filter(i => i.richesse == 1).length,
+        individus.filter(i => i.richesse == 2).length,
+        individus.filter(i => i.richesse == 3).length,
+      ],
+      backgroundColor: ["#FFE0B2",
+  "#FFB74D",
+  "#FF8A65",
+  "#E64A19" ],
+    }],
+  },
+  options: {
+    plugins: { legend: { position: "bottom" } },
+  },
+});
+
+new Chart(document.getElementById("educationChart") as HTMLCanvasElement, {
+  type: "doughnut",
+  data: {
+    labels: ["Bac", "+2", "+3", "+5"],
+    datasets: [{
+      data: [ individus.filter(i => i.etudes == 0).length,
+        individus.filter(i => i.etudes == 1).length,
+        individus.filter(i => i.etudes == 2).length,
+        individus.filter(i => i.etudes == 3).length,],
+      backgroundColor: ["#81C784", "#FFD54F", "#E57373"],
+    }],
+  },
+  options: {
+    plugins: { legend: { position: "bottom" } },
+  },
+});
+
+new Chart(document.getElementById('heatmapChart') as HTMLCanvasElement, {
+  type: 'matrix',
+  data: {
+    labels: individus.map((_, i) => `Individu ${i + 1}`),
+    datasets: [{
+      label: 'Activités',
+      data: individus.map((individu, i) => [
+        { x: 0, y: i, v: individu.sport },
+        { x: 1, y: i, v: individu.musique },
+        { x: 2, y: i, v: individu.lecture }
+      ]).flat(),
+      backgroundColor: ({ v }) => {
+        const r = Math.floor(255 - v * 100);
+        const g = Math.floor(255 - v * 50);
+        const b = Math.floor(255);
+        return `rgb(${r}, ${g}, ${b})`;
+      },
+      borderWidth: 1,
+      borderColor: 'rgba(255, 255, 255, 0.6)',
+      width: ({ chart }) => (chart.chartArea?.width ?? 0) / 3 - 1,
+      height: ({ chart }) => (chart.chartArea?.height ?? 0) / individus.length - 1
+    }]
+  },
+  options: {
+    responsive: true,
+    scales: {
+      x: {
+        type: 'category',
+        labels: ['Sport', 'Musique', 'Lecture'],
+        offset: true
+      },
+      y: {
+        type: 'category',
+        labels: individus.map((_, i) => `Individu ${i + 1}`),
+        offset: true
+      }
+    },
+    plugins: {
+      legend: { display: false },
+      tooltip: {
+        callbacks: {
+          label: ({ raw }) => `Valeur : ${raw.v.toFixed(2)}`
+        }
+      }
+    }
+  }
+});
+
+
+new Chart(document.getElementById("radarChart") as HTMLCanvasElement, {
+  type: "radar",
+  data: {
+    labels: ["Etudes", "Richesse", "Sport", "Musique", "Lecture"],
+    datasets: [{
+      label: "Valeurs moyennes",
+      data: [
+        individus[10].etudes / 3,
+        individus[10].richesse / 3,
+        individus[10].sport,
+        individus[10].musique,
+        individus[10].lecture
+      ],
+      backgroundColor: "rgba(54,162,235,0.2)",
+      borderColor: "rgba(54,162,235,1)",
+      pointBackgroundColor: "rgba(54,162,235,1)"
+    }]
+  },
+  options: {
+    scales: { r: { min: 0, max: 1, ticks: { stepSize: 0.1 } } },
+    plugins: { legend: { position: "top" }, datalabels: false }
+  }
+});