Matrix Dashboard

Correlation Matrix Dashboard

Visualizing the correlation between different variables as a heatmap.

Variable Correlation Heatmap

Legend

Correlation Strength
-1.0 0.0 +1.0

Interpretation:

Strong Positive (Green): Variables tend to move in the same direction.

Strong Negative (Red): Variables tend to move in opposite directions.

Weak (White): Little to no linear relationship.

Edit the JSON data below. The matrix should be square, with values between -1 and 1.

`; document.getElementById('data-config-input').value = JSON.stringify(correlationData, null, 2); document.getElementById('update-dashboard-btn').addEventListener('click', handleUpdateDashboard); }; // --- CHART RENDERING --- const renderChartsForTab = (tabId) => { if (tabId !== 'dashboard') return; destroyCharts(); const data = []; for (let i = 0; i < correlationData.labels.length; i++) { for (let j = 0; j < correlationData.labels.length; j++) { data.push({ x: correlationData.labels[i], y: correlationData.labels[j], v: correlationData.matrix[i][j] }); } } // Function to map a value from -1 to 1 to a color from red to green const valueToColor = (value) => { const r = value < 0 ? 214 + 41 * value : 247 - (201 * value); const g = value < 0 ? 39 + 208 * value : 247 - (147 * value); const b = value < 0 ? 40 + 208 * value : 247 - (215 * value); return `rgb(${r}, ${g}, ${b})`; }; chartInstances.matrix = new Chart(document.getElementById('matrix-chart').getContext('2d'), { type: 'matrix', data: { datasets: [{ label: 'Correlation', data: data, backgroundColor: (ctx) => valueToColor(ctx.raw.v), borderColor: 'rgba(255, 255, 255, 0.5)', borderWidth: 1, width: ({chart}) => (chart.chartArea || {}).width / correlationData.labels.length - 1, height: ({chart}) => (chart.chartArea || {}).height / correlationData.labels.length - 1, }] }, options: { responsive: true, maintainAspectRatio: true, plugins: { legend: { display: false }, tooltip: { callbacks: { title: () => '', label: (ctx) => [ `X: ${ctx.raw.x}`, `Y: ${ctx.raw.y}`, `Correlation: ${ctx.raw.v.toFixed(2)}` ] } } }, scales: { x: { type: 'category', labels: correlationData.labels, ticks: { display: true }, grid: { display: false } }, y: { type: 'category', labels: correlationData.labels, offset: true, ticks: { display: true }, grid: { display: false } } } } }); }; // --- NAVIGATION & EVENT HANDLING --- const showTab = (tabIndex) => { currentTab = tabIndex; const tabId = tabs[tabIndex]; document.querySelectorAll('.tab-pane').forEach(pane => pane.classList.add('hidden')); document.getElementById(`${tabId}-tab`).classList.remove('hidden'); document.querySelectorAll('.tab-btn').forEach(btn => btn.classList.remove('active')); document.querySelector(`.tab-btn[data-tab='${tabId}']`).classList.add('active'); prevBtn.style.visibility = (currentTab === 0) ? 'hidden' : 'visible'; nextBtn.style.visibility = (currentTab >= tabs.length - 2) ? 'hidden' : 'visible'; downloadPdfBtn.style.visibility = (tabId === 'config') ? 'hidden' : 'visible'; if (tabId === 'dashboard') { renderDashboardTab(); } }; tabNavigation.addEventListener('click', (e) => { if (e.target.matches('.tab-btn')) { const tabId = e.target.dataset.tab; const tabIndex = tabs.indexOf(tabId); showTab(tabIndex); } }); nextBtn.addEventListener('click', () => { if (currentTab < tabs.length - 1) showTab(currentTab + 1); }); prevBtn.addEventListener('click', () => { if (currentTab > 0) showTab(currentTab - 1); }); const handleUpdateDashboard = () => { const configInput = document.getElementById('data-config-input'); const errorDiv = document.getElementById('json-error'); const errorMessage = document.getElementById('json-error-message'); try { const newData = JSON.parse(configInput.value); // Basic validation if (!newData.labels || !newData.matrix || newData.labels.length !== newData.matrix.length) { throw new Error("Invalid data structure. 'labels' and 'matrix' must exist, and the matrix must be square."); } correlationData = newData; errorDiv.classList.add('hidden'); renderDashboardTab(); alert('Dashboard updated successfully!'); showTab(0); } catch (error) { errorMessage.textContent = 'Invalid JSON format. ' + error.message; errorDiv.classList.remove('hidden'); } }; // --- PDF GENERATION --- downloadPdfBtn.addEventListener('click', () => { const { jsPDF } = window.jspdf; const pdfContainer = document.getElementById('pdf-content-container'); const activeTabElement = document.getElementById('dashboard-tab'); if (!pdfContainer || !activeTabElement) return; const clone = activeTabElement.cloneNode(true); pdfContainer.innerHTML = ''; pdfContainer.appendChild(clone); html2canvas(pdfContainer, { scale: 2, useCORS: true, logging: false, width: pdfContainer.scrollWidth, height: pdfContainer.scrollHeight }) .then(canvas => { const imgData = canvas.toDataURL('image/png'); const pdf = new jsPDF({ orientation: 'portrait', unit: 'pt', format: 'a4' }); const pdfWidth = pdf.internal.pageSize.getWidth(); const pdfHeight = pdf.internal.pageSize.getHeight(); const imgWidth = canvas.width; const imgHeight = canvas.height; const ratio = imgWidth / imgHeight; let finalImgHeight = pdfWidth / ratio; let heightLeft = finalImgHeight; let position = 0; pdf.text(`Correlation Matrix Report`, 40, 40); pdf.addImage(imgData, 'PNG', 0, 60, pdfWidth, finalImgHeight); heightLeft -= (pdfHeight - 60); while (heightLeft > 0) { position = heightLeft - finalImgHeight; pdf.addPage(); pdf.addImage(imgData, 'PNG', 0, position, pdfWidth, finalImgHeight); heightLeft -= pdfHeight; } pdf.save(`Correlation_Matrix_Report.pdf`); pdfContainer.innerHTML = ''; }).catch(err => { console.error("PDF generation failed:", err); alert("Sorry, there was an error creating the PDF."); }); }); // --- INITIALIZATION --- createTabs(); renderAllTabs(); showTab(0); });
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