Area-weighted Average U-value Calculator

Area-Weighted Average U-Value Calculator & Guide :root { –primary-color: #004a99; –success-color: #28a745; –background-color: #f8f9fa; –text-color: #333; –border-color: #ccc; –card-background: #fff; –shadow: 0 2px 5px rgba(0,0,0,0.1); } body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; background-color: var(–background-color); color: var(–text-color); line-height: 1.6; margin: 0; padding: 0; } .container { max-width: 1000px; margin: 20px auto; padding: 20px; background-color: var(–card-background); border-radius: 8px; box-shadow: var(–shadow); } header { background-color: var(–primary-color); color: white; padding: 20px 0; text-align: center; margin-bottom: 20px; border-radius: 8px 8px 0 0; } header h1 { margin: 0; font-size: 2.5em; } .calculator-section { margin-bottom: 40px; padding: 30px; border: 1px solid var(–border-color); border-radius: 8px; background-color: var(–card-background); box-shadow: var(–shadow); } .calculator-section h2 { color: var(–primary-color); text-align: center; margin-top: 0; margin-bottom: 25px; } .input-group { margin-bottom: 20px; padding: 15px; border: 1px solid #eee; border-radius: 5px; background-color: #fdfdfd; } .input-group label { display: block; margin-bottom: 8px; font-weight: bold; color: var(–primary-color); } .input-group input[type="number"], .input-group select { width: calc(100% – 22px); padding: 10px; border: 1px solid var(–border-color); border-radius: 4px; font-size: 1em; margin-top: 5px; } .input-group .helper-text { font-size: 0.85em; color: #666; margin-top: 5px; display: block; } .error-message { color: red; font-size: 0.85em; margin-top: 5px; display: none; /* Hidden by default */ } .button-group { text-align: center; margin-top: 30px; } button { background-color: var(–primary-color); color: white; border: none; padding: 12px 25px; border-radius: 5px; font-size: 1em; cursor: pointer; margin: 0 10px; transition: background-color 0.3s ease; } button:hover { background-color: #003366; } button.reset-button { background-color: #6c757d; } button.reset-button:hover { background-color: #5a6268; } button.copy-button { background-color: #17a2b8; } button.copy-button:hover { background-color: #138496; } #results { margin-top: 30px; padding: 25px; border: 1px solid var(–primary-color); border-radius: 8px; background-color: #eef7ff; text-align: center; } #results h3 { color: var(–primary-color); margin-top: 0; margin-bottom: 20px; } .result-item { margin-bottom: 15px; } .result-label { font-weight: bold; color: #555; } .result-value { font-size: 1.2em; font-weight: bold; color: var(–primary-color); } .primary-result { font-size: 2em; font-weight: bold; color: var(–success-color); background-color: #d4edda; padding: 15px; border-radius: 5px; margin-bottom: 20px; display: inline-block; } .formula-explanation { font-size: 0.9em; color: #555; margin-top: 15px; padding: 10px; background-color: #f0f0f0; border-radius: 4px; } table { width: 100%; border-collapse: collapse; margin-top: 20px; margin-bottom: 30px; } th, td { border: 1px solid #ddd; padding: 10px; text-align: left; } th { background-color: var(–primary-color); color: white; } tr:nth-child(even) { background-color: #f2f2f2; } caption { font-size: 1.1em; font-weight: bold; color: var(–primary-color); margin-bottom: 10px; caption-side: top; text-align: left; } canvas { display: block; margin: 20px auto; max-width: 100%; border: 1px solid var(–border-color); border-radius: 5px; } .article-section { margin-top: 40px; padding: 30px; border: 1px solid var(–border-color); border-radius: 8px; background-color: var(–card-background); box-shadow: var(–shadow); } .article-section h2, .article-section h3 { color: var(–primary-color); margin-bottom: 15px; } .article-section h2 { text-align: center; margin-top: 0; } .article-section p, .article-section ul, .article-section ol { margin-bottom: 15px; } .article-section ul, .article-section ol { padding-left: 20px; } .article-section li { margin-bottom: 8px; } .faq-item { margin-bottom: 15px; padding: 10px; border-left: 3px solid var(–primary-color); background-color: #f9f9f9; border-radius: 4px; } .faq-item strong { color: var(–primary-color); display: block; margin-bottom: 5px; } .internal-links ul { list-style: none; padding: 0; } .internal-links li { margin-bottom: 10px; } .internal-links a { color: var(–primary-color); text-decoration: none; font-weight: bold; } .internal-links a:hover { text-decoration: underline; } .internal-links span { font-size: 0.9em; color: #666; display: block; margin-top: 3px; } footer { text-align: center; margin-top: 40px; padding: 20px; font-size: 0.9em; color: #777; } .highlight { background-color: var(–success-color); color: white; padding: 2px 5px; border-radius: 3px; } .subtle-shadow { box-shadow: 0 1px 3px rgba(0,0,0,0.08); }

Area-Weighted Average U-Value Calculator

Calculate Your Building's Average U-Value

Enter the details for each building element (wall, roof, floor, window, door) to calculate the overall area-weighted average U-value. This is crucial for understanding thermal performance and energy efficiency.

e.g., External Wall, Roof, Window
Enter the surface area of this element in square meters.
Enter the U-value for this element (lower is better).

Calculation Results

Total Area: 0.00 m²
Sum of (Area * U-Value): 0.00 W/K
0.00 W/m²K
Formula Used:
Average U-Value = Σ(Areaᵢ * U-Valueᵢ) / Σ(Areaᵢ) Where: Σ(Areaᵢ * U-Valueᵢ) is the sum of the product of each element's area and its U-value, and Σ(Areaᵢ) is the total area of all elements.
U-Value Distribution by Element Area
Detailed Element Breakdown
Element Name Area (m²) U-Value (W/m²K) Area * U-Value (W/K)

What is Area-Weighted Average U-Value?

The area-weighted average U-value is a critical metric used in building science and energy efficiency assessments. It represents the overall thermal transmittance of a building's envelope, taking into account the different areas and thermal properties (U-values) of its various components like walls, roofs, floors, windows, and doors. Instead of simply averaging the U-values of individual elements, the area-weighted average gives more importance to larger surface areas. This provides a more accurate and representative picture of how well the entire building envelope resists heat flow.

Who Should Use It?

This calculation is essential for:

  • Architects and Building Designers: To assess the overall thermal performance of new designs and ensure compliance with building regulations.
  • Energy Assessors: To evaluate the energy efficiency of existing buildings, identify areas for improvement, and calculate potential energy savings.
  • Homeowners and Property Developers: To understand the thermal characteristics of a property, make informed decisions about renovations, and estimate heating/cooling costs.
  • Construction Professionals: To verify that materials and construction methods meet specified thermal performance standards.

Common Misconceptions

  • Misconception: Averaging all U-values gives the correct result.
    Reality: This ignores the significant impact of surface area. A large, well-insulated area with a low U-value will have a much greater effect on the overall performance than a small, poorly insulated area.
  • Misconception: A low U-value for one element means the whole building is efficient.
    Reality: The overall performance depends on the combination of all elements. A single high-performance element can be overshadowed by numerous large, poorly performing elements.
  • Misconception: U-value is the same as R-value.
    Reality: They are inversely related. U-value measures heat transfer (lower is better), while R-value measures thermal resistance (higher is better). U = 1/R.

Area-Weighted Average U-Value Formula and Mathematical Explanation

The calculation of the area-weighted average U-value is straightforward but requires careful consideration of each building element's contribution.

The Formula

The core formula is:

Average U-Value = Σ(Areaᵢ * U-Valueᵢ) / Σ(Areaᵢ)

Where:

  • Σ (Sigma) represents summation.
  • 'i' denotes each individual building element (e.g., wall, roof, window).
  • Areaᵢ is the surface area of element 'i' in square meters (m²).
  • U-Valueᵢ is the thermal transmittance of element 'i' in Watts per square meter per Kelvin (W/m²K).

Step-by-Step Derivation

  1. Identify all distinct building elements that form the thermal envelope (e.g., external walls, internal walls facing unheated spaces, roof, floor, windows, doors).
  2. Measure or estimate the surface area (Areaᵢ) for each element in square meters (m²).
  3. Determine the U-value (U-Valueᵢ) for each element in W/m²K. This value depends on the materials used, their thickness, and construction methods.
  4. Calculate the product of Area and U-Value for each element (Areaᵢ * U-Valueᵢ). This represents the heat transfer rate through that specific element under a 1 Kelvin temperature difference. The unit is W/K.
  5. Sum all the calculated products from step 4. This gives the total heat transfer potential across the entire envelope if all elements had a 1 Kelvin temperature difference: Σ(Areaᵢ * U-Valueᵢ). The unit is W/K.
  6. Sum all the individual areas calculated in step 2. This gives the total surface area of the building envelope being considered: Σ(Areaᵢ). The unit is m².
  7. Divide the total heat transfer potential (from step 5) by the total area (from step 6). This yields the area-weighted average U-value for the building envelope.

Variables Table

Variables Used in U-Value Calculation
Variable Meaning Unit Typical Range
Areaᵢ Surface area of a specific building element m² (square meters) 0.1 m² to 1000+ m² (depending on element size)
U-Valueᵢ Thermal transmittance of a specific building element W/m²K (Watts per square meter per Kelvin) 0.1 (highly insulated) to 5.0+ (poorly insulated/single glazing)
Σ(Areaᵢ * U-Valueᵢ) Sum of (Area * U-Value) for all elements W/K (Watts per Kelvin) Varies greatly based on building size and insulation levels
Σ(Areaᵢ) Total surface area of the building envelope m² (square meters) Varies greatly based on building size
Average U-Value Area-weighted average thermal transmittance W/m²K Typically 0.15 to 1.5 W/m²K for modern buildings

Practical Examples (Real-World Use Cases)

Understanding the area-weighted average U-value is crucial for assessing and improving building performance. Here are two practical examples:

Example 1: New Build Home Assessment

An architect is designing a new energy-efficient home and needs to calculate the average U-value of its envelope.

Inputs:

  • Element 1: Walls – Area: 150 m², U-Value: 0.18 W/m²K
  • Element 2: Roof – Area: 100 m², U-Value: 0.15 W/m²K
  • Element 3: Floor – Area: 80 m², U-Value: 0.20 W/m²K
  • Element 4: Windows – Area: 30 m², U-Value: 1.2 W/m²K
  • Element 5: Doors – Area: 5 m², U-Value: 1.5 W/m²K

Calculations:

  • Wall Contribution: 150 m² * 0.18 W/m²K = 27.0 W/K
  • Roof Contribution: 100 m² * 0.15 W/m²K = 15.0 W/K
  • Floor Contribution: 80 m² * 0.20 W/m²K = 16.0 W/K
  • Window Contribution: 30 m² * 1.2 W/m²K = 36.0 W/K
  • Door Contribution: 5 m² * 1.5 W/m²K = 7.5 W/K
  • Total Area: 150 + 100 + 80 + 30 + 5 = 365 m²
  • Sum of (Area * U-Value): 27.0 + 15.0 + 16.0 + 36.0 + 7.5 = 101.5 W/K
  • Average U-Value: 101.5 W/K / 365 m² = 0.278 W/m²K

Interpretation:

The calculated average U-value of 0.278 W/m²K indicates a well-insulated building envelope, likely meeting stringent modern building codes. The high contribution from windows (36.0 W/K) highlights their significance as thermal weak points, even with a relatively low area compared to walls and roof.

Example 2: Retrofit Assessment for an Older House

A homeowner is considering upgrading insulation in their 1970s house and wants to understand the current thermal performance.

Inputs:

  • Element 1: Walls (uninsulated brick) – Area: 120 m², U-Value: 1.8 W/m²K
  • Element 2: Roof (old felt, no insulation) – Area: 90 m², U-Value: 2.5 W/m²K
  • Element 3: Floor (suspended timber, uninsulated) – Area: 70 m², U-Value: 1.5 W/m²K
  • Element 4: Windows (single glazed) – Area: 25 m², U-Value: 4.5 W/m²K
  • Element 5: Doors (solid wood) – Area: 4 m², U-Value: 2.8 W/m²K

Calculations:

  • Wall Contribution: 120 m² * 1.8 W/m²K = 216.0 W/K
  • Roof Contribution: 90 m² * 2.5 W/m²K = 225.0 W/K
  • Floor Contribution: 70 m² * 1.5 W/m²K = 105.0 W/K
  • Window Contribution: 25 m² * 4.5 W/m²K = 112.5 W/K
  • Door Contribution: 4 m² * 2.8 W/m²K = 11.2 W/K
  • Total Area: 120 + 90 + 70 + 25 + 4 = 309 m²
  • Sum of (Area * U-Value): 216.0 + 225.0 + 105.0 + 112.5 + 11.2 = 669.7 W/K
  • Average U-Value: 669.7 W/K / 309 m² = 2.167 W/m²K

Interpretation:

An average U-value of 2.167 W/m²K for this older house indicates very poor thermal performance, leading to significant heat loss and high energy bills. The largest contributors to heat loss are the roof and walls. Targeted upgrades, such as adding loft insulation and cavity wall insulation, would dramatically reduce the average U-value and improve comfort and energy efficiency. This calculation provides a baseline for measuring the effectiveness of planned retrofits.

How to Use This Area-Weighted Average U-Value Calculator

Our calculator simplifies the process of determining your building's overall thermal performance. Follow these steps for accurate results:

Step-by-Step Instructions

  1. Add Building Elements: Click the "Add Element" button for each distinct part of your building's envelope (e.g., "Main Walls", "North Roof", "Living Room Window", "Front Door").
  2. Enter Element Details: For each added element, input:
    • Element Name: A descriptive name (e.g., "External Wall").
    • Area (m²): The surface area of that element in square meters. Be as accurate as possible.
    • U-Value (W/m²K): The thermal transmittance value for that element. You can find this from manufacturer specifications, building plans, or by using online U-value calculators based on construction materials. Lower values mean better insulation.
  3. Validate Inputs: The calculator will provide inline error messages if you enter non-numeric values, negative numbers, or leave fields blank. Ensure all values are valid.
  4. Calculate: Once all elements are entered, click the "Calculate Average U-Value" button.

How to Read Results

  • Primary Result (Large Font): This is your Area-Weighted Average U-Value in W/m²K. A lower number signifies a more thermally efficient building envelope. Compare this to building regulations or industry benchmarks.
  • Total Area: The sum of all the areas you entered (m²).
  • Sum of (Area * U-Value): The total heat transfer potential across all elements (W/K).
  • Detailed Table: Provides a breakdown of each element's contribution, showing the product of its area and U-value. This helps identify which elements are the biggest contributors to heat loss.
  • Chart: Visually represents the proportion of heat loss attributed to each element, based on the (Area * U-Value) product. This makes it easy to see which elements have the most significant impact.

Decision-Making Guidance

Use the results to inform decisions:

  • High Average U-Value: Indicates significant heat loss. Prioritize upgrades to elements with the highest individual contributions (as shown in the table and chart), especially large areas like walls and roofs.
  • Comparison: Compare your result to targets for new builds or energy efficiency standards (e.g., Passivhaus standards require U-values below 0.15 W/m²K).
  • Renovation Planning: Use the calculator before and after potential upgrades to quantify the expected improvement in thermal performance. For instance, upgrading single-glazed windows to triple-glazed units will significantly lower their U-value and, consequently, the overall average U-value.

Key Factors That Affect Area-Weighted Average U-Value Results

Several factors influence the calculated average U-value, impacting a building's energy performance and comfort:

  1. Material Properties: The inherent thermal conductivity (or resistance) of the materials used in construction is fundamental. Materials like rigid foam insulation have very low U-values, while materials like single-pane glass or uninsulated concrete have high U-values.
  2. Element Thickness: Thicker layers of insulating material generally lead to lower U-values. Doubling the thickness of insulation typically halves its contribution to the U-value.
  3. Construction Complexity (Thermal Bridging): Structural elements like timber studs or steel beams can create "thermal bridges" – paths of higher heat conductivity through the insulation layer. These increase the effective U-value of the element, making it perform worse than calculations based solely on insulation material might suggest. Proper detailing is crucial to minimize these bridges.
  4. Air Tightness: While U-value measures conductive heat transfer through materials, air leakage (infiltrating cold air and exfiltrating warm air) accounts for a significant portion of heat loss. A building with a low average U-value but poor air tightness can still be very inefficient. This calculator focuses solely on U-value, not air leakage.
  5. Element Area: As the calculation is area-weighted, larger elements have a proportionally larger impact on the average U-value. A large, poorly insulated wall can significantly increase the average U-value, even if other elements like the roof are highly insulated.
  6. Installation Quality: Gaps, voids, or compression in insulation materials during installation can drastically reduce their effectiveness, leading to higher actual U-values than specified. Consistent and correct installation is vital for achieving target thermal performance.
  7. Moisture Content: The presence of moisture within building materials can increase their thermal conductivity, thereby increasing their U-value and reducing their insulating performance. Proper ventilation and vapor barriers help manage moisture.

Frequently Asked Questions (FAQ)

Q1: What is a good average U-value for a house?

A: For new builds in many regions, an average U-value below 0.3 W/m²K is often targeted. For highly energy-efficient homes like Passivhaus, targets are much lower, often below 0.15 W/m²K. Older homes can have averages well above 1.0 W/m²K.

Q2: How do I find the U-value for my existing building elements?

A: This can be challenging. You might find data in original building plans, consult a professional energy assessor who can perform tests or make educated estimates based on construction type, or use online calculators that estimate U-values based on typical material combinations and thicknesses.

Q3: Does the calculator account for thermal bridging?

A: This specific calculator uses the U-value provided for each element. Standard U-value calculations often don't fully account for complex thermal bridging. For highly accurate assessments, especially for new builds aiming for high performance, a separate thermal bridge analysis might be necessary.

Q4: What's the difference between U-value and R-value?

A: U-value measures how easily heat passes through a material (lower is better), while R-value measures resistance to heat flow (higher is better). They are reciprocals: U = 1/R. U-value is typically used for whole elements like walls or windows, while R-value is often used for individual insulation layers.

Q5: How does window U-value affect the average?

A: Windows typically have much higher U-values than well-insulated walls or roofs. Even a small window area can contribute significantly to the overall heat loss, making window performance a key factor in the area-weighted average U-value.

Q6: Can I use this calculator for different climates?

A: The calculation method is universal. However, what constitutes a "good" U-value target will vary significantly based on climate. Colder climates require lower U-values to minimize heating demand.

Q7: What if I have elements with different orientations (e.g., North vs. South facing walls)?

A: If the construction and U-value are the same, you can group them under one element (e.g., "External Walls"). If they have different U-values (e.g., due to shading or different insulation strategies), list them as separate elements in the calculator.

Q8: Does this calculator consider solar heat gain?

A: No, this calculator focuses solely on thermal transmittance (U-value), which measures heat loss. Solar heat gain is a separate factor related to the g-value of glazing and building orientation, influencing the overall energy balance but not the U-value calculation itself.

Related Tools and Internal Resources

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Enter the U-value for this element (lower is better).
`; container.appendChild(newElementDiv); elementCount++; // Update results immediately after adding an element calculateUValue(); } function removeElement(id) { var elementDiv = document.getElementById('element_' + id); if (elementDiv) { elementDiv.remove(); calculateUValue(); // Recalculate after removal } } function validateInput(id, min = null, max = null) { var input = document.getElementById(id); var errorDiv = document.getElementById(id + '_error'); var value = parseFloat(input.value); if (isNaN(value)) { errorDiv.textContent = "Please enter a valid number."; errorDiv.style.display = 'block'; return false; } if (value < 0) { errorDiv.textContent = "Value cannot be negative."; errorDiv.style.display = 'block'; return false; } if (min !== null && value max) { errorDiv.textContent = `Value must be no more than ${max}.`; errorDiv.style.display = 'block'; return false; } errorDiv.textContent = "; errorDiv.style.display = 'none'; return true; } function calculateUValue() { var totalArea = 0; var sumAreaUValue = 0; var elementsData = []; var isValid = true; // Clear previous table content var tableBody = document.querySelector("#elementsTable tbody"); tableBody.innerHTML = "; for (var i = 0; i 0) { averageUValue = sumAreaUValue / totalArea; } document.getElementById('totalAreaResult').textContent = totalArea.toFixed(2) + ' m²'; document.getElementById('sumAreaUValueResult').textContent = sumAreaUValue.toFixed(2) + ' W/K'; document.getElementById('averageUValueResult').textContent = averageUValue.toFixed(3) + ' W/m²K'; if (isValid) { updateChart(elementsData); } else { // Optionally clear chart or show a message if inputs are invalid if (chartInstance) { chartInstance.destroy(); chartInstance = null; } } return isValid; } function updateChart(data) { var ctx = document.getElementById('uValueChart').getContext('2d'); // Destroy previous chart instance if it exists if (chartInstance) { chartInstance.destroy(); } // Prepare data for chart var labels = data.map(item => item.name); var values = data.map(item => item.areaUValue); // Use Area * U-Value for contribution size // Calculate total sum for percentage calculation if needed, or just use raw values var totalSumAreaUValue = data.reduce(function(sum, item) { return sum + item.areaUValue; }, 0); chartInstance = new Chart(ctx, { type: 'bar', // Use bar chart to show contributions data: { labels: labels, datasets: [{ label: 'Heat Loss Contribution (Area * U-Value) [W/K]', data: values, backgroundColor: 'rgba(0, 74, 153, 0.6)', // Primary color borderColor: 'rgba(0, 74, 153, 1)', borderWidth: 1 }] }, options: { responsive: true, maintainAspectRatio: false, scales: { y: { beginAtZero: true, title: { display: true, text: 'Heat Loss Contribution (W/K)' } }, x: { title: { display: true, text: 'Building Element' } } }, plugins: { tooltip: { callbacks: { label: function(context) { var label = context.dataset.label || "; if (label) { label += ': '; } if (context.parsed.y !== null) { label += context.parsed.y.toFixed(2) + ' W/K'; } // Add percentage of total heat loss if (totalSumAreaUValue > 0) { var percentage = (context.parsed.y / totalSumAreaUValue) * 100; label += ` (${percentage.toFixed(1)}% of total)`; } return label; } } }, legend: { display: true, position: 'top' } } } }); } function copyResults() { var totalArea = document.getElementById('totalAreaResult').textContent; var sumAreaUValue = document.getElementById('sumAreaUValueResult').textContent; var averageUValue = document.getElementById('averageUValueResult').textContent; var assumptions = "Key Assumptions:\n"; var tableRows = document.querySelectorAll("#elementsTable tbody tr"); tableRows.forEach(function(row) { var cells = row.cells; assumptions += `- Element: ${cells[0].textContent}, Area: ${cells[1].textContent}, U-Value: ${cells[2].textContent}\n`; }); var textToCopy = `Area-Weighted Average U-Value Calculation Results:\n\n` + `Average U-Value: ${averageUValue}\n` + `Total Area: ${totalArea}\n` + `Sum of (Area * U-Value): ${sumAreaUValue}\n\n` + `Formula: Average U-Value = Σ(Areaᵢ * U-Valueᵢ) / Σ(Areaᵢ)\n\n` + `Element Breakdown:\n${assumptions}`; // Use navigator.clipboard for modern browsers if (navigator.clipboard && navigator.clipboard.writeText) { navigator.clipboard.writeText(textToCopy).then(function() { alert('Results copied to clipboard!'); }).catch(function(err) { console.error('Failed to copy text: ', err); fallbackCopyTextToClipboard(textToCopy); // Fallback for older browsers }); } else { fallbackCopyTextToClipboard(textToCopy); // Fallback for older browsers } } function fallbackCopyTextToClipboard(text) { var textArea = document.createElement("textarea"); textArea.value = text; textArea.style.position = "fixed"; // Avoid scrolling to bottom textArea.style.left = "-9999px"; textArea.style.top = "-9999px"; document.body.appendChild(textArea); textArea.focus(); textArea.select(); try { var successful = document.execCommand('copy'); var msg = successful ? 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e.g., External Wall, Roof, Window
Enter the surface area of this element in square meters.
Enter the U-value for this element (lower is better).
`; elementCount = 1; calculateUValue(); // Recalculate with default values } // Initial calculation on page load document.addEventListener('DOMContentLoaded', function() { // Add event listeners for real-time updates document.body.addEventListener('input', function(event) { if (event.target.type === 'number' || event.target.type === 'text') { calculateUValue(); } }); calculateUValue(); // Perform initial calculation }); // Include Chart.js library – NOTE: In a real production scenario, you'd include this via a CDN link in the // For this self-contained HTML, we'll simulate its presence. // In a real implementation, you would add: // // before this script block. // For this example, we assume Chart.js is available globally. // If running this code directly without Chart.js, the chart will fail. // To make this runnable, you'd need to add the Chart.js CDN link. // Example: // Placeholder for Chart.js if not loaded externally if (typeof Chart === 'undefined') { console.warn("Chart.js library not found. Chart will not render. Please include Chart.js via CDN."); var Chart = function() { this.destroy = function() { console.log("Chart destroyed (placeholder)"); }; }; Chart.prototype.constructor = Chart; // Ensure constructor property exists }

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