diff --git a/data_visualization/js/visualization.js b/data_visualization/js/visualization.js
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+++ b/data_visualization/js/visualization.js
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+/**
+ * visualization.js
+ * Verantwortlich für Rendering der Diagramme und Aktualisierung bei neuen Daten.
+ * Part of experiment: resonanzband_analysis (artifact: data_visualization)
+ */
+
+/**
+ * Aktualisiert die aggregierten Kennzahlen im summary-section.
+ * @param {Array<Object>} data - Analyseergebnisse mit Feldern { run_id, band_center, band_width_p10_p90, max_outlier, overhead_ms }
+ */
+export function updateSummary(data) {
+  if (!Array.isArray(data) || data.length === 0) {
+    const summaryEl = document.getElementById('summary-section');
+    if (summaryEl) summaryEl.textContent = 'Keine Daten verfügbar.';
+    return;
+  }
+
+  const avg = (arr, key) => arr.reduce((sum, d) => sum + (d[key] ?? 0), 0) / arr.length;
+  const maxOutlier = Math.max(...data.map(d => d.max_outlier ?? 0));
+
+  const summary = {
+    avgBandCenter: avg(data, 'band_center').toFixed(2),
+    avgWidth: avg(data, 'band_width_p10_p90').toFixed(2),
+    maxOutlier,
+    avgOverhead: avg(data, 'overhead_ms').toFixed(2)
+  };
+
+  const summaryEl = document.getElementById('summary-section');
+  if (!summaryEl) return;
+  summaryEl.innerHTML = `
+    <div class="summary__metric"><span class="summary__label">Durchschnitt Bandcenter:</span> <span class="summary__value">${summary.avgBandCenter}</span></div>
+    <div class="summary__metric"><span class="summary__label">Durchschnitt Bandbreite (P10–P90):</span> <span class="summary__value">${summary.avgWidth}</span></div>
+    <div class="summary__metric"><span class="summary__label">Maximaler Ausreißer:</span> <span class="summary__value">${summary.maxOutlier}</span></div>
+    <div class="summary__metric"><span class="summary__label">Mittlerer Overhead (ms):</span> <span class="summary__value">${summary.avgOverhead}</span></div>
+  `;
+}
+
+/**
+ * Zeichnet Diagramme und Statistiken im charts-container basierend auf Analyseergebnissen.
+ * @param {Array<Object>} results - Analyseergebnisse
+ */
+export function renderResults(results) {
+  const container = document.getElementById('charts-container');
+  if (!container) return;
+  container.innerHTML = '';
+
+  if (!Array.isArray(results) || results.length === 0) {
+    container.textContent = 'Keine Ergebnisse gefunden.';
+    updateSummary([]);
+    return;
+  }
+
+  // Diagramm mit Canvas-Element zeichnen (native Lösung ohne externe Lib)
+  const canvas = document.createElement('canvas');
+  canvas.width = container.clientWidth;
+  canvas.height = 300;
+  canvas.setAttribute('role', 'img');
+  canvas.setAttribute('aria-label', 'Diagramm der Resonanzband-Metriken');
+  container.appendChild(canvas);
+
+  const ctx = canvas.getContext('2d');
+  const padding = 40;
+  const width = canvas.width - 2 * padding;
+  const height = canvas.height - 2 * padding;
+
+  const maxBand = Math.max(...results.map(r => r.band_center + r.band_width_p10_p90));
+  const minBand = Math.min(...results.map(r => r.band_center - r.band_width_p10_p90));
+
+  const scaleY = val => height - ((val - minBand) / (maxBand - minBand)) * height + padding;
+  const scaleX = (i) => padding + (i / (results.length - 1)) * width;
+
+  // Achsen zeichnen
+  ctx.strokeStyle = '#333';
+  ctx.beginPath();
+  ctx.moveTo(padding, padding);
+  ctx.lineTo(padding, height + padding);
+  ctx.lineTo(width + padding, height + padding);
+  ctx.stroke();
+
+  // Linien für Bandcenter zeichnen
+  ctx.strokeStyle = '#0057b7';
+  ctx.lineWidth = 2;
+  ctx.beginPath();
+  results.forEach((r, i) => {
+    const x = scaleX(i);
+    const y = scaleY(r.band_center);
+    if (i === 0) ctx.moveTo(x, y);
+    else ctx.lineTo(x, y);
+  });
+  ctx.stroke();
+
+  // Outlier Punkte zeichnen
+  ctx.fillStyle = '#b70000';
+  results.forEach((r, i) => {
+    const x = scaleX(i);
+    const y = scaleY(r.band_center + r.max_outlier);
+    ctx.beginPath();
+    ctx.arc(x, y, 3, 0, Math.PI * 2);
+    ctx.fill();
+  });
+
+  // Tooltips: einfache textuelle Version
+  canvas.addEventListener('mousemove', e => {
+    const rect = canvas.getBoundingClientRect();
+    const x = e.clientX - rect.left;
+    const y = e.clientY - rect.top;
+
+    const idx = Math.round((x - padding) / width * (results.length - 1));
+    const item = results[idx];
+    if (!item) return;
+
+    const tooltip = document.getElementById('chart-tooltip') ?? document.createElement('div');
+    tooltip.id = 'chart-tooltip';
+    tooltip.className = 'chart__tooltip';
+    tooltip.style.position = 'absolute';
+    tooltip.style.left = `${x + 10}px`;
+    tooltip.style.top = `${y + 10}px`;
+    tooltip.style.background = '#222';
+    tooltip.style.color = '#fff';
+    tooltip.style.padding = '4px 8px';
+    tooltip.style.borderRadius = '4px';
+    tooltip.style.fontSize = '0.8rem';
+    tooltip.style.pointerEvents = 'none';
+    tooltip.textContent = `Run ${item.run_id}: Center=${item.band_center}, Width=${item.band_width_p10_p90}, Outlier=${item.max_outlier}`;
+
+    document.body.appendChild(tooltip);
+  });
+
+  canvas.addEventListener('mouseleave', () => {
+    const tooltip = document.getElementById('chart-tooltip');
+    if (tooltip) tooltip.remove();
+  });
+
+  // Zusammenfassung aktualisieren
+  updateSummary(results);
+}