Black Domains Weighted Calculator

Black Domains Weighted Calculator: Optimize Your Domain Portfolio :root { –primary-color: #004a99; –success-color: #28a745; –background-color: #f8f9fa; –text-color: #333; –border-color: #ddd; –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; display: flex; flex-direction: column; align-items: center; } .container { width: 100%; 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; width: 100%; } header h1 { margin: 0; font-size: 2.5em; } main { padding: 20px 0; } h1, h2, h3 { color: var(–primary-color); } h1 { font-size: 2em; margin-bottom: 15px; } h2 { font-size: 1.7em; margin-top: 30px; margin-bottom: 15px; border-bottom: 2px solid var(–primary-color); 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color: white; padding: 15px 20px; border-radius: 5px; margin-top: 10px; text-align: center; font-size: 1.5em; font-weight: bold; box-shadow: inset 0 0 10px rgba(0,0,0,0.2); } .formula-explanation { font-size: 0.9em; color: #555; margin-top: 20px; padding: 10px; background-color: #fff; border-left: 4px solid var(–primary-color); } table { width: 100%; border-collapse: collapse; margin-top: 20px; margin-bottom: 30px; box-shadow: var(–shadow); } th, td { padding: 12px 15px; text-align: left; border: 1px solid var(–border-color); } thead { background-color: var(–primary-color); color: white; } tbody tr:nth-child(even) { background-color: #f2f2f2; } caption { font-size: 1.1em; font-weight: bold; color: var(–primary-color); margin-bottom: 10px; text-align: left; } canvas { display: block; margin: 20px auto; background-color: var(–card-background); border-radius: 5px; box-shadow: var(–shadow); } .article-content { margin-top: 40px; padding: 30px; background-color: var(–card-background); border-radius: 8px; box-shadow: var(–shadow); text-align: left; } .article-content p { margin-bottom: 15px; } .article-content a { color: var(–primary-color); text-decoration: none; } .article-content a:hover { text-decoration: underline; } .faq-item { margin-bottom: 15px; border-bottom: 1px dashed var(–border-color); padding-bottom: 10px; } .faq-item:last-child { border-bottom: none; } .faq-item strong { color: var(–primary-color); display: block; margin-bottom: 5px; } .related-links ul { list-style: none; padding: 0; } .related-links li { margin-bottom: 10px; } .related-links a { font-weight: bold; } .related-links span { font-size: 0.9em; color: #555; display: block; margin-top: 3px; } @media (max-width: 768px) { .container { margin: 10px; padding: 15px; } header h1 { font-size: 1.8em; } h1 { font-size: 1.6em; } h2 { font-size: 1.4em; } h3 { font-size: 1.2em; } button { width: 100%; margin-bottom: 10px; } .button-group { flex-direction: column; align-items: center; } .primary-result { font-size: 1.3em; 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Black Domains Weighted Calculator

Domain Portfolio Weighted Value Calculator

Assess the strategic value of your domain names by assigning weights to key metrics. This calculator helps you understand which domains contribute most to your portfolio's overall worth.

Total number of domains in your portfolio.
Average unique visitors across all your domains per month.
Average age of your domains in years.
Average Moz Domain Authority score (0-100).
Percentage weight assigned to traffic (e.g., 0.4 for 40%). Sum of weights should ideally be 1.
Percentage weight assigned to age (e.g., 0.3 for 30%).
Percentage weight assigned to authority (e.g., 0.3 for 30%).

Calculation Results

Total Monthly Visitors: 0
Total Domain Age Years: 0
Total Domain Authority Points: 0
0.00
Formula Used:
Weighted Value = (Normalized Traffic * Traffic Weight) + (Normalized Age * Age Weight) + (Normalized Authority * Authority Weight)
Normalization involves scaling each metric (Visitors, Age, DA) to a 0-1 range based on typical portfolio values or maximum potential. For simplicity here, we use direct weighted sums of scaled inputs.

Key Assumptions:

Weights: Traffic=0.4, Age=0.3, Authority=0.3

Normalization Method: Direct scaling based on input values relative to a conceptual maximum or average.

Domain Metrics Contribution Chart
Domain Portfolio Metrics Summary
Metric Average Value Weight Weighted Contribution (Conceptual)
Monthly Visitors 0 0.4 0
Domain Age (Years) 0 0.3 0
Domain Authority (DA) 0 0.3 0

{primary_keyword}

The black domains weighted calculator is a specialized tool designed for domain investors, digital asset managers, and website owners to quantitatively assess the value of their domain portfolio. Instead of relying solely on subjective judgment or single metrics, this calculator assigns specific weights to crucial domain characteristics like traffic volume, domain age, and Domain Authority (DA). By doing so, it provides a more nuanced and data-driven understanding of which domains contribute most significantly to the overall strategic value of a domain collection. This approach is particularly useful when deciding which domains to retain, develop, sell, or prioritize for marketing efforts. It helps in optimizing resource allocation and maximizing the return on investment from a digital asset portfolio.

Who Should Use the Black Domains Weighted Calculator?

This calculator is invaluable for several key groups:

  • Domain Investors: To evaluate the current worth of their holdings and identify high-potential assets for future growth or sale.
  • Digital Asset Managers: To maintain an organized and valued portfolio, making informed decisions about acquisitions and divestitures.
  • Businesses with Multiple Domains: To understand the collective strength of their online presence across various domain names, especially those used for branding, marketing campaigns, or niche sites.
  • SEO Professionals: To gauge the SEO strength and potential of a domain portfolio, informing link-building strategies and content development.
  • Mergers & Acquisitions Teams: During due diligence, to assess the value of domain assets within a company being acquired.

Common Misconceptions about Domain Valuation

Several myths surround domain valuation:

  • "Short domains are always valuable": While brevity can help, a short domain with no traffic, history, or authority might be less valuable than a longer, established domain in a niche.
  • "High DA guarantees high value": DA is just one metric. A high DA domain with no relevant traffic or a poor backlink profile might not command a premium price.
  • "Domain age is the only factor": Older domains have established trust, but a newer, highly trafficked, and authoritative domain can quickly surpass an older, stagnant one.
  • "All traffic is equal": The quality and intent of traffic matter significantly. High-converting traffic is more valuable than general browsing traffic.

The black domains weighted calculator aims to address these by allowing users to balance these factors according to their specific investment strategy.

{primary_keyword} Formula and Mathematical Explanation

The core of the black domains weighted calculator lies in its ability to synthesize multiple domain metrics into a single, weighted score. The general formula can be expressed as:

Weighted Score = (Metric1_Normalized * Weight1) + (Metric2_Normalized * Weight2) + ... + (MetricN_Normalized * WeightN)

In our specific calculator, the primary metrics are Average Monthly Visitors, Average Domain Age, and Average Domain Authority. The formula is adapted as follows:

Portfolio Weighted Value = (AvgVisitors_Norm * W_Traffic) + (AvgAge_Norm * W_Age) + (AvgAuthority_Norm * W_Authority)

Variable Explanations:

  • AvgVisitors: The average number of unique monthly visitors across all domains in the portfolio.
  • AvgAge: The average age of the domains in years.
  • AvgAuthority: The average Domain Authority (DA) score (typically 0-100).
  • W_Traffic: The user-defined weight assigned to the traffic metric.
  • W_Age: The user-defined weight assigned to the domain age metric.
  • W_Authority: The user-defined weight assigned to the Domain Authority metric.
  • _Norm: Indicates that the raw metric value has been normalized.

Normalization Process:

Normalization is crucial because the raw values of these metrics have vastly different scales (e.g., visitors can be in thousands, age in years, DA out of 100). Normalization brings them to a comparable scale, typically 0 to 1. A common method is:

Normalized Value = (Actual Value - Minimum Possible Value) / (Maximum Possible Value - Minimum Possible Value)

For simplicity in this calculator, we use a direct scaling approach where the weights are applied to the average values, implicitly assuming a baseline or maximum potential that influences the perceived contribution. The calculator's output represents a composite score reflecting the portfolio's strength across these weighted factors.

Variables Table:

Variable Meaning Unit Typical Range (for Normalization)
AvgVisitors Average unique monthly visitors per domain Visitors/Month 0 to 10,000+ (highly variable)
AvgAge Average age of domains Years 0 to 20+
AvgAuthority Average Domain Authority score Score (0-100) 0 to 100
W_Traffic Weight assigned to traffic Decimal (0-1) User-defined
W_Age Weight assigned to domain age Decimal (0-1) User-defined
W_Authority Weight assigned to Domain Authority Decimal (0-1) User-defined
Portfolio Weighted Value Overall calculated score for the domain portfolio Score (relative) Depends on normalization and weights

Practical Examples (Real-World Use Cases)

Example 1: Growth-Focused Investor

An investor prioritizing rapid growth and traffic acquisition might allocate weights as follows:

  • Number of Domains: 20
  • Average Monthly Visitors: 1,200
  • Average Domain Age: 3 years
  • Average Domain Authority: 35
  • Traffic Weight (W_Traffic): 0.5 (50%)
  • Age Weight (W_Age): 0.2 (20%)
  • Authority Weight (W_Authority): 0.3 (30%)

Calculation:

The calculator would process these inputs. Let's assume a simplified normalization where higher values are better. The intermediate results might show significant total visitors and authority. The final weighted score would heavily favor the high traffic and DA, reflecting the investor's strategy.

Interpretation: This portfolio scores highly on metrics prioritized for growth. The investor might focus on monetizing these domains further or acquiring similar high-traffic, moderate-age domains.

Example 2: Established Brand Portfolio Manager

A company managing established brand domains might prioritize longevity and trust:

  • Number of Domains: 50
  • Average Monthly Visitors: 800
  • Average Domain Age: 10 years
  • Average Domain Authority: 45
  • Traffic Weight (W_Traffic): 0.3 (30%)
  • Age Weight (W_Age): 0.4 (40%)
  • Authority Weight (W_Authority): 0.3 (30%)

Calculation:

With a higher weight on age and a moderate weight on authority, the calculator would yield a score reflecting the stability and established nature of this portfolio. Even with slightly lower average traffic than Example 1, the emphasis on age and DA would boost its weighted score.

Interpretation: This portfolio represents a stable, trustworthy online presence. The focus might be on maintaining brand integrity, leveraging the established authority for SEO benefits across related properties, or using them as foundational assets for new ventures.

How to Use This Black Domains Weighted Calculator

Using the black domains weighted calculator is straightforward. Follow these steps to get a quantitative assessment of your domain portfolio:

  1. Input Portfolio Size: Enter the total number of domains you have in your portfolio.
  2. Enter Average Metrics: Input the average values for Monthly Visitors, Domain Age (in years), and Domain Authority (DA) across your domains. If you don't have exact averages, estimate based on your known domains.
  3. Assign Weights: This is the most critical step. Decide how important each metric is to your valuation strategy. Assign a decimal value between 0 and 1 for each weight (Traffic, Age, Authority). Ensure the weights sum up to 1 (or close to it) for a balanced assessment. For example, 0.4 for traffic, 0.3 for age, and 0.3 for authority.
  4. Calculate: Click the "Calculate Weighted Value" button.

Reading the Results:

  • Intermediate Results: These show the total calculated values for visitors, age, and authority based on your inputs, providing context.
  • Main Result (Primary Highlighted Result): This is your portfolio's overall weighted score. A higher score indicates a stronger portfolio based on your chosen weights. Compare this score against benchmarks or other portfolios.
  • Key Assumptions: Review the weights and normalization method used, as these directly influence the outcome.
  • Chart and Table: Visualize the contribution of each metric to the overall score and see a summary of your portfolio's average metrics and assigned weights.

Decision-Making Guidance:

Use the weighted score to:

  • Prioritize Domains: Identify which domains (or types of domains) are driving your score the highest.
  • Investment Strategy: Refine your acquisition strategy based on the metrics that yield the best weighted results for your goals.
  • Valuation for Sale: Provide a data-backed justification for your domain portfolio's value.
  • Identify Weaknesses: If your score is lower than expected, examine the metrics with lower weights or contributions to see where improvements can be made (e.g., increasing traffic, improving DA).

Key Factors That Affect {primary_keyword} Results

Several factors influence the outcome of the black domains weighted calculator and the overall perceived value of a domain portfolio:

  1. Traffic Volume and Quality: Higher, consistent traffic generally increases value. However, the *quality* of traffic (e.g., engaged users, high conversion rates) is often more important than raw numbers, though harder to quantify in a simple calculator. Our calculator uses average volume as a proxy.
  2. Domain Age and History: Older domains often have established trust and SEO value. A clean history free from penalties or spammy associations is crucial. The calculator uses average age, assuming older is generally better.
  3. Domain Authority (DA) and Page Authority (PA): Higher DA/PA scores from reputable SEO tools (like Moz) indicate stronger SEO potential and trust from search engines. This is a key indicator of a domain's ability to rank.
  4. Keyword Relevance and Niche: Domains related to high-value, in-demand keywords or within lucrative niches tend to be more valuable. The calculator doesn't directly measure this but assumes it's reflected in traffic and authority.
  5. Brandability and Memorability: A domain's potential to be a strong brand name, its ease of spelling, and pronunciation significantly impact its market value, especially for premium domains.
  6. Backlink Profile: The quality, quantity, and relevance of backlinks pointing to a domain are fundamental to its SEO strength and authority. A strong backlink profile supports a higher DA score.
  7. Monetization Potential: How easily a domain can be monetized (e.g., through ads, affiliate marketing, direct sales, lead generation) is a core value driver. This is often correlated with traffic and niche.
  8. TLD (Top-Level Domain): While .com is generally preferred, other TLDs (.org, .net, or newer gTLDs) can hold value depending on the context and market.

Frequently Asked Questions (FAQ)

Q1: What is a "black domain" in this context?
A: The term "black domain" here refers to domains within your portfolio that you are evaluating. It's a neutral term for the assets being assessed by the calculator, not related to negative connotations.
Q2: How accurate is the Domain Authority (DA) score?
A: DA is a third-party metric (primarily from Moz) and an estimate of a domain's SEO strength. It's a useful comparative tool but not a direct measure of ranking potential or direct sales value. Always consider it alongside other metrics.
Q3: Can I use this calculator for a single domain?
A: Yes, you can input '1' for the number of domains and then enter the specific metrics for that single domain. The weights will then apply to its individual characteristics.
Q4: What if my weights don't add up to 1?
A: The calculator will still function, but the resulting score might be harder to interpret relative to standard benchmarks. Ideally, weights should represent proportions of importance, summing to 1. The calculator applies the weights as entered.
Q5: How do I find the average metrics for my portfolio?
A: You can use SEO tools (like Ahrefs, SEMrush, Moz) to export data for your domains and then calculate the averages. For traffic, use analytics data (Google Analytics).
Q6: Is the weighted score a direct monetary value?
A: No, the weighted score is a relative indicator of your portfolio's strength based on the chosen metrics and weights. It's a tool for comparison and strategic assessment, not a direct appraisal of dollar value.
Q7: What if a domain has zero traffic or zero DA?
A: The calculator handles zero values correctly. A zero in a highly weighted metric will significantly reduce the overall score, reflecting its low contribution.
Q8: How often should I update my portfolio's weighted value?
A: It's recommended to recalculate periodically, perhaps quarterly or semi-annually, or whenever significant changes occur in your portfolio (e.g., acquiring new domains, major traffic shifts, changes in domain strategy).
Q9: Does the calculator consider the TLD (.com, .net, etc.)?
A: This specific calculator does not have a direct input for TLD. However, the TLD's impact is often reflected indirectly through metrics like traffic volume and Domain Authority, which are influenced by TLD perception and usage.
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var validTrafficWeight = validateInput('trafficWeight', 0, 1, 'trafficWeightError', 'Traffic Weight'); var validAgeWeight = validateInput('ageWeight', 0, 1, 'ageWeightError', 'Age Weight'); var validAuthorityWeight = validateInput('authorityWeight', 0, 1, 'authorityWeightError', 'Authority Weight'); // Check if all inputs are valid before proceeding if (!validDomainCount || !validAvgTraffic || !validAvgAge || !validAvgAuthority || !validTrafficWeight || !validAgeWeight || !validAuthorityWeight) { document.getElementById('mainResult').textContent = "Invalid Input"; return; } var domainCount = parseFloat(document.getElementById('domainCount').value); var avgTraffic = parseFloat(document.getElementById('avgTraffic').value); var avgAge = parseFloat(document.getElementById('avgAge').value); var avgAuthority = parseFloat(document.getElementById('avgAuthority').value); var trafficWeight = parseFloat(document.getElementById('trafficWeight').value); var ageWeight = parseFloat(document.getElementById('ageWeight').value); var authorityWeight = parseFloat(document.getElementById('authorityWeight').value); // Intermediate Calculations var totalVisitors = avgTraffic * domainCount; var totalAgeYears = avgAge * domainCount; var totalAuthorityPoints = avgAuthority * domainCount; // Normalize values (simplified approach for demonstration) // A more robust normalization would use max possible values or portfolio benchmarks. // Here, we'll use the average values directly, scaled by weights. // For a score that's easier to interpret, let's scale avg values to a conceptual 0-100 range. // Assume max potential visitors = 10000, max age = 20, max DA = 100 var normalizedTraffic = Math.min(avgTraffic / 10000, 1); var normalizedAge = Math.min(avgAge / 20, 1); var normalizedAuthority = Math.min(avgAuthority / 100, 1); // Weighted Score Calculation var weightedValue = (normalizedTraffic * trafficWeight) + (normalizedAge * ageWeight) + (normalizedAuthority * authorityWeight); // Scale the final score to a more intuitive range, e.g., 0-100 var finalScore = weightedValue * 100; // Display Results document.getElementById('totalVisitorsResult').textContent = totalVisitors.toLocaleString(); document.getElementById('totalAgeResult').textContent = totalAgeYears.toLocaleString(); document.getElementById('totalAuthorityResult').textContent = totalAuthorityPoints.toLocaleString(); document.getElementById('mainResult').textContent = finalScore.toFixed(2); // Update Key Assumptions display document.getElementById('weightTrafficAssum').textContent = trafficWeight.toFixed(2); document.getElementById('weightAgeAssum').textContent = ageWeight.toFixed(2); document.getElementById('weightAuthorityAssum').textContent = authorityWeight.toFixed(2); // Update Table Data document.getElementById('avgVisitorsTable').textContent = avgTraffic.toLocaleString(); document.getElementById('avgAgeTable').textContent = avgAge.toLocaleString(); document.getElementById('avgAuthorityTable').textContent = avgAuthority.toLocaleString(); document.getElementById('trafficWeightTable').textContent = trafficWeight.toFixed(2); document.getElementById('ageWeightTable').textContent = ageWeight.toFixed(2); document.getElementById('authorityWeightTable').textContent = authorityWeight.toFixed(2); // Conceptual Contribution (Normalized Metric * Weight * 100) document.getElementById('contribVisitorsTable').textContent = (normalizedTraffic * trafficWeight * 100).toFixed(2); document.getElementById('contribAgeTable').textContent = (normalizedAge * ageWeight * 100).toFixed(2); document.getElementById('contribAuthorityTable').textContent = (normalizedAuthority * authorityWeight * 100).toFixed(2); // Update Chart updateChart(normalizedTraffic, normalizedAge, normalizedAuthority, trafficWeight, ageWeight, authorityWeight); } function updateChart(normTraffic, normAge, normAuthority, weightTraffic, weightAge, weightAuthority) { var ctx = document.getElementById('domainMetricsChart').getContext('2d'); // Clear previous chart instance if it exists if (window.myDomainChart) { window.myDomainChart.destroy(); } // Calculate weighted contributions for chart series var trafficContribution = normTraffic * weightTraffic * 100; var ageContribution = normAge * weightAge * 100; var authorityContribution = normAuthority * weightAuthority * 100; // Ensure contributions don't exceed 100 if weights sum to 1 var totalContribution = trafficContribution + ageContribution + authorityContribution; if (totalContribution > 100) { var scaleFactor = 100 / totalContribution; trafficContribution *= scaleFactor; ageContribution *= scaleFactor; authorityContribution *= scaleFactor; } window.myDomainChart = new Chart(ctx, { type: 'bar', data: { labels: ['Traffic', 'Age', 'Authority'], datasets: [{ label: 'Normalized Metric Value', data: [normTraffic * 100, normAge * 100, normAuthority * 100], // Scaled to 0-100 for display backgroundColor: 'rgba(0, 74, 153, 0.6)', // Primary color borderColor: 'rgba(0, 74, 153, 1)', borderWidth: 1 }, { label: 'Weighted Contribution (%)', data: [trafficContribution, ageContribution, authorityContribution], backgroundColor: 'rgba(40, 167, 69, 0.6)', // Success color borderColor: 'rgba(40, 167, 69, 1)', borderWidth: 1 }] }, options: { responsive: true, maintainAspectRatio: true, scales: { y: { beginAtZero: true, max: 100, title: { display: true, text: 'Value (%)' } }, x: { title: { display: true, text: 'Domain Metric' } } }, plugins: { legend: { position: 'top', }, title: { display: true, text: 'Metric Contribution to Weighted Score' } } } }); } function resetCalculator() { document.getElementById('domainCount').value = '10'; document.getElementById('avgTraffic').value = '500'; document.getElementById('avgAge').value = '5'; document.getElementById('avgAuthority').value = '25'; document.getElementById('trafficWeight').value = '0.4'; document.getElementById('ageWeight').value = '0.3'; document.getElementById('authorityWeight').value = '0.3'; // Clear errors document.getElementById('domainCountError').style.display = 'none'; document.getElementById('avgTrafficError').style.display = 'none'; document.getElementById('avgAgeError').style.display = 'none'; document.getElementById('avgAuthorityError').style.display = 'none'; document.getElementById('trafficWeightError').style.display = 'none'; document.getElementById('ageWeightError').style.display = 'none'; document.getElementById('authorityWeightError').style.display = 'none'; calculateWeightedValue(); // Recalculate with default values } function copyResults() { var mainResult = document.getElementById('mainResult').textContent; var totalVisitors = document.getElementById('totalVisitorsResult').textContent; var totalAge = document.getElementById('totalAgeResult').textContent; var totalAuthority = document.getElementById('totalAuthorityResult').textContent; var trafficWeight = document.getElementById('trafficWeight').value; var ageWeight = document.getElementById('ageWeight').value; var authorityWeight = document.getElementById('authorityWeight').value; var assumptions = "Key Assumptions:\n" + "Weights: Traffic=" + trafficWeight + ", Age=" + ageWeight + ", Authority=" + authorityWeight + "\n" + "Normalization Method: Simplified scaling."; var resultsText = "Black Domains Weighted Calculator Results:\n\n" + "Weighted Portfolio Score: " + mainResult + "\n\n" + "Intermediate Values:\n" + "- Total Monthly Visitors: " + totalVisitors + "\n" + "- Total Domain Age Years: " + totalAge + "\n" + "- Total Domain Authority Points: " + totalAuthority + "\n\n" + assumptions; // Use a temporary textarea to copy text var textArea = document.createElement("textarea"); textArea.value = resultsText; textArea.style.position = "fixed"; textArea.style.left = "-9999px"; document.body.appendChild(textArea); textArea.focus(); textArea.select(); try { var successful = document.execCommand('copy'); var msg = successful ? 'Results copied to clipboard!' : 'Failed to copy results.'; // Optionally show a temporary message to the user console.log(msg); // Simple visual feedback var feedback = document.createElement('div'); feedback.textContent = msg; feedback.style.cssText = 'position: fixed; top: 50%; left: 50%; transform: translate(-50%, -50%); background-color: var(–primary-color); color: white; padding: 15px; border-radius: 5px; z-index: 1000;'; document.body.appendChild(feedback); setTimeout(function() { feedback.remove(); }, 2000); } catch (err) { console.error('Fallback: Oops, unable to copy', err); // Simple visual feedback for failure var feedback = document.createElement('div'); feedback.textContent = 'Failed to copy results.'; feedback.style.cssText = 'position: fixed; top: 50%; left: 50%; transform: translate(-50%, -50%); background-color: red; color: white; padding: 15px; border-radius: 5px; z-index: 1000;'; document.body.appendChild(feedback); setTimeout(function() { feedback.remove(); }, 2000); } document.body.removeChild(textArea); } // Initial calculation on page load document.addEventListener('DOMContentLoaded', function() { // Load Chart.js library dynamically if not present if (typeof Chart === 'undefined') { var script = document.createElement('script'); script.src = 'https://cdn.jsdelivr.net/npm/chart.js'; script.onload = function() { calculateWeightedValue(); // Calculate after chart library is loaded }; document.head.appendChild(script); } else { calculateWeightedValue(); // Calculate immediately if Chart.js is already available } });

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