Calculating Weighted and Unweighted Credit

Calculating Weighted and Unweighted Credit: A Comprehensive Guide and Calculator :root { –primary-color: #004a99; –success-color: #28a745; –background-color: #f8f9fa; –text-color: #333; –light-gray: #e9ecef; –white: #fff; –border-radius: 8px; –shadow: 0 4px 8px 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(–white); border-radius: var(–border-radius); box-shadow: var(–shadow); } header { text-align: center; margin-bottom: 30px; padding-bottom: 20px; border-bottom: 1px solid var(–light-gray); } header h1 { color: var(–primary-color); margin-bottom: 10px; } .loan-calc-container { background-color: var(–white); padding: 30px; border-radius: var(–border-radius); box-shadow: var(–shadow); margin-bottom: 40px; } .loan-calc-container h2 { text-align: center; 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Calculating Weighted and Unweighted Credit

Understanding how different factors contribute to your overall credit assessment.

Weighted & Unweighted Credit Calculator

Total number of active credit accounts (credit cards, loans, etc.).
Sum of all balances across all credit accounts.
Sum of credit limits for all revolving accounts (e.g., credit cards).
A score representing the recency and consistency of your payments (e.g., 0=all late, 100=always on time).
The average duration your credit accounts have been open.
Number of accounts opened in the last 6-12 months.
A score reflecting the variety of credit types you manage (e.g., installment loans, revolving credit).

Your Credit Assessment

Unweighted Credit Score (Proxy):
Debt-to-Limit Ratio: %
Average Credit Age: months
Payment History Impact: %
Credit Mix Impact: %
New Accounts Impact: %
How it Works: The unweighted score is a simplified estimation based on key factors like payment history, credit utilization, and average age of accounts. The weighted score (not directly calculated here but informed by these factors) would assign specific percentages to each category based on the credit scoring model.

Key Factor Contribution

Visualizing the estimated influence of different credit factors on your score.
Factor Description Impact on Score Input Value
Payment History On-time payments, collections, bankruptcies. High
Credit Utilization Ratio of balances to credit limits. High
Average Credit Age Length of time accounts have been open. Medium
Credit Mix Variety of credit types. Low-Medium
New Credit Recent applications and account openings. Low
Summary of credit score factors and their typical weight.

What is Calculating Weighted and Unweighted Credit?

Calculating weighted and unweighted credit refers to the process of evaluating the different components that contribute to an individual's creditworthiness. In essence, it's about understanding how your financial habits translate into a score that lenders and other institutions use to assess risk. An unweighted credit assessment often refers to a direct, simplified calculation or a general understanding of the impact of each factor without precise percentage allocations. A weighted credit calculation, on the other hand, assigns specific importance (weights) to each credit factor, reflecting their relative influence on the final score according to a particular credit scoring model (like FICO or VantageScore).

Understanding both aspects is crucial for managing your financial health. While credit bureaus and scoring agencies use complex, proprietary algorithms for their weighted credit analysis, individuals can still gauge their standing by looking at the core elements that constitute their credit profile. This guide and calculator will help you grasp the foundational principles of credit evaluation and how you can influence your score.

Who Should Use This Information?

  • Individuals seeking loans or credit cards: Knowing your credit standing helps you anticipate approval chances and interest rates.
  • Anyone aiming to improve their financial health: This knowledge empowers you to make informed decisions that boost your creditworthiness.
  • Consumers wanting to understand credit reports: It clarifies why certain information on your report impacts your score.
  • Financial advisors and educators: Provides a tool to explain credit concepts to clients or students.

Common Misconceptions About Credit

  • "Checking my credit score hurts it": This is generally false for "soft inquiries" (like checking your own score). Only "hard inquiries" from loan applications typically affect your score.
  • "Closing old credit cards will increase my score": Often, closing an older account can negatively impact your average credit age and increase your credit utilization ratio, potentially lowering your score.
  • "All credit scores are the same": Different scoring models (FICO, VantageScore) and different versions of these models exist, leading to variations in reported scores.
  • "My score should be based only on my payment history": While payment history is the most significant factor, other elements like utilization and credit age also play vital roles in a weighted credit assessment.

Weighted and Unweighted Credit Calculation and Mathematical Explanation

The process of understanding credit scores involves recognizing both the individual impact of different financial behaviors (unweighted) and their combined, proportionally significant influence (weighted). While exact proprietary algorithms remain confidential, we can approximate the impact of key factors.

Unweighted Assessment (Simplified View)

An unweighted assessment looks at factors individually. For instance, a single late payment is bad, a high balance is bad, and an old account is good. Our calculator provides a proxy for an unweighted score by combining inputs into actionable metrics like the Debt-to-Limit Ratio.

Weighted Credit Calculation Principles

Credit scoring models use a weighted credit formula that assigns percentages to different categories. Although these weights vary by model, a typical distribution looks something like this:

  • Payment History: 35%
  • Amounts Owed (Credit Utilization): 30%
  • Length of Credit History: 15%
  • Credit Mix: 10%
  • New Credit: 10%

Our calculator uses the input values to derive intermediate metrics and displays a simplified "Unweighted Credit Score (Proxy)" which attempts to reflect a good standing in these areas. The chart and table further break down the estimated contribution.

Variable Meaning Unit Typical Range
Number of Credit Accounts Total active credit lines. Count 0+
Total Outstanding Debt Sum of all current balances. Monetary Units (e.g., USD) 0+
Total Available Credit Limit Sum of credit limits on revolving accounts. Monetary Units (e.g., USD) 0+
Payment History Score Indicator of payment punctuality. Score (0-100) 0-100
Average Age of Credit Accounts Mean time accounts have been open. Months 0+
New Accounts Number of recently opened accounts. Count 0+
Credit Mix Score Score for managing different credit types. Score (0-10) 0-10
Debt-to-Limit Ratio (Total Debt / Total Credit Limit) * 100. Percentage (%) 0-100% (Lower is better)
Key variables used in credit assessment and their typical ranges.

Mathematical Explanation of Key Metrics

Debt-to-Limit Ratio (Credit Utilization): This is calculated as: (Total Outstanding Debt / Total Available Credit Limit) * 100. A ratio below 30% is generally considered good, with lower being better. This metric strongly influences the "Amounts Owed" category in a weighted credit calculation.

Average Credit Age: This is the mean of the age of all your credit accounts. Longer credit histories are generally viewed more favorably, indicating established responsibility. This impacts the "Length of Credit History" component.

Payment History Impact: While we use a direct score input, a true weighted credit assessment heavily penalizes late payments, collections, and defaults. Our calculation uses the input score to reflect its importance.

Credit Mix Impact: Having a mix of revolving credit (like credit cards) and installment loans (like mortgages or auto loans) can be positive, showing you can manage different types of debt. This is a smaller component in a weighted credit calculation.

New Accounts Impact: Opening too many accounts in a short period can signal financial distress or increased risk, negatively affecting the "New Credit" category.

Practical Examples of Weighted and Unweighted Credit Assessment

Let's illustrate with two scenarios. Remember, our calculator provides a proxy for understanding these dynamics.

Example 1: Prudent Borrower

Inputs:

  • Number of Credit Accounts: 8
  • Total Outstanding Debt: 8,000 units
  • Total Available Credit Limit: 60,000 units
  • Payment History Score: 98
  • Average Age of Credit Accounts: 84 months
  • Number of New Accounts: 0
  • Credit Mix Score: 9

Calculator Outputs (Illustrative):

  • Unweighted Credit Score (Proxy): 780 (Good)
  • Debt-to-Limit Ratio: 13.33%
  • Average Credit Age Display: 84 months
  • Payment History Impact: 33.3% (High positive)
  • Credit Mix Impact: 9% (High positive)
  • New Accounts Impact: 0% (No negative)

Financial Interpretation: This individual demonstrates excellent credit management. A low Debt-to-Limit ratio (credit utilization), a long credit history, and a perfect payment record contribute to a strong credit profile. The varied credit mix is also a positive factor. Lenders would likely view this profile favorably, potentially offering competitive rates on loans and credit cards.

Example 2: Borrower with Some Risk Factors

Inputs:

  • Number of Credit Accounts: 4
  • Total Outstanding Debt: 22,000 units
  • Total Available Credit Limit: 25,000 units
  • Payment History Score: 75
  • Average Age of Credit Accounts: 36 months
  • Number of New Accounts: 3
  • Credit Mix Score: 5

Calculator Outputs (Illustrative):

  • Unweighted Credit Score (Proxy): 550 (Fair/Poor)
  • Debt-to-Limit Ratio: 88%
  • Average Credit Age Display: 36 months
  • Payment History Impact: 25% (Moderate negative due to score)
  • Credit Mix Impact: 5% (Neutral)
  • New Accounts Impact: 2.25% (Slight negative)

Financial Interpretation: This profile shows several areas for improvement. The extremely high Debt-to-Limit ratio is a major red flag. The lower payment history score and a relatively short average credit age also contribute negatively. Opening multiple new accounts recently further raises concerns. This individual might face difficulty obtaining new credit or may be offered loans with high interest rates. Focusing on paying down debt and maintaining on-time payments would be critical for improvement.

How to Use This Weighted and Unweighted Credit Calculator

Our calculator is designed to give you a clear, immediate understanding of your credit health based on key inputs. Follow these steps:

  1. Gather Your Information: Before using the calculator, collect details about your current credit accounts. This includes the total number of accounts, total debt balances, total credit limits on revolving accounts, and how consistently you've paid on time. You'll also need the average age of your accounts and any recent credit applications.
  2. Enter Your Data: In the calculator section, carefully input the values for each field. Ensure you use the correct units (e.g., months for account age) and enter scores within the specified ranges (e.g., 0-100 for payment history).
  3. Validate Inputs: The calculator will perform inline validation. If you enter an invalid value (e.g., a negative number or a score outside the range), an error message will appear below the relevant field. Correct these errors before proceeding.
  4. Calculate: Click the "Calculate Credit Scores" button. The calculator will instantly process your inputs.
  5. Review Results:
    • Unweighted Credit Score (Proxy): This is the main highlighted result, offering a general indication of your credit standing. Higher numbers generally mean better creditworthiness.
    • Intermediate Values: Pay attention to metrics like the Debt-to-Limit Ratio and Average Credit Age. These provide specific insights into your credit utilization and history length.
    • Factor Contributions: The chart and table visually represent how different factors (payment history, utilization, etc.) contribute to your overall credit profile.
  6. Interpret and Act: Use the results to understand your strengths and weaknesses. If your Debt-to-Limit ratio is high, focus on paying down balances. If your payment history is weak, prioritize on-time payments. The goal is to improve the factors that most significantly impact a weighted credit calculation.
  7. Reset or Copy: Use the "Reset" button to clear the fields and start over with default values. The "Copy Results" button allows you to save your calculated metrics and assumptions for future reference or sharing.

Key Factors That Affect Weighted and Unweighted Credit Results

Several critical factors influence your credit score. Understanding their impact is key to effective credit management and improving your standing in any weighted credit calculation.

  1. Payment History (Most Important): This is the single biggest determinant of your credit score. Making payments on time, every time, is paramount. Late payments, defaults, collections, bankruptcies, and foreclosures can significantly damage your score and remain on your report for years. Even a single missed payment can have a negative impact.
  2. Credit Utilization Ratio (Amounts Owed): This refers to the amount of revolving credit you are using compared to your total available revolving credit. For example, if you have three credit cards each with a $10,000 limit (total $30,000 limit) and you owe $9,000 across them, your utilization is 30%. Keeping this ratio low (ideally below 30%, and even better below 10%) is crucial. High utilization suggests you might be overextended and poses a risk.
  3. Length of Credit History: This factor considers the age of your oldest account, the age of your newest account, and the average age of all your accounts. A longer credit history generally demonstrates a proven track record of managing credit responsibly, which is viewed favorably. Avoid closing old, well-managed accounts unless absolutely necessary, as this can shorten your average credit age.
  4. Credit Mix: Having a healthy mix of different types of credit (e.g., revolving credit like credit cards, and installment loans like mortgages, auto loans, or personal loans) can positively influence your score. It shows you can handle various credit obligations. However, this factor is less critical than payment history or utilization, and you shouldn't open new types of credit solely for the purpose of improving your mix.
  5. New Credit (Recent Activity): This factor looks at how many new accounts you've opened recently and how many hard inquiries (applications for credit) appear on your report. Applying for and opening multiple credit accounts in a short period can signal increased risk, potentially lowering your score. Lenders see frequent applications as a sign you might be facing financial difficulty.
  6. Available Credit: While related to utilization, the total amount of unused credit you have can also play a role. A higher amount of available credit, coupled with responsible usage, can indicate financial stability. Conversely, carrying balances on many accounts with high limits might still be seen as risky if utilization is high.
  7. Economic Conditions & Inflation: While not directly on your credit report, broader economic factors can indirectly affect your ability to manage debt. High inflation might strain your budget, potentially leading to missed payments or increased reliance on credit, which then impacts your score. Lenders also consider the economic climate when assessing overall risk.
  8. Taxes and Fees: These don't directly impact your credit score calculation itself. However, taxes on income and fees associated with credit (like annual fees or over-limit fees) reduce your disposable income, potentially making it harder to manage your debt obligations on time, thereby indirectly affecting your credit score.

Frequently Asked Questions (FAQ)

  • Q1: What's the difference between weighted and unweighted credit assessment?

    A: An unweighted assessment looks at factors in isolation, while a weighted assessment assigns specific percentage values to each factor based on its importance in credit scoring models (e.g., payment history is weighted more heavily than credit mix).

  • Q2: Is my credit utilization ratio the same as my debt-to-limit ratio?

    A: Yes, they are essentially the same metric, often used interchangeably. It's calculated as the amount of credit you're using divided by your total available credit limit.

  • Q3: How quickly does paying down debt improve my credit score?

    A: The impact can be seen relatively quickly, often within 1-2 billing cycles after the lower balance is reported to the credit bureaus. A lower utilization ratio has a significant positive effect.

  • Q4: Should I have multiple credit cards?

    A: Having multiple credit accounts can be beneficial for your credit mix and potentially increase your total available credit (lowering utilization if balances are managed). However, only open accounts you need and can manage responsibly.

  • Q5: What is considered a "good" average credit age?

    A: Generally, the older your average credit history, the better. A history of 7-10 years or more is typically considered very good. There isn't a specific threshold, but longer established history is favorable.

  • Q6: How many new accounts is too many?

    A: There's no fixed number, but opening more than 2-3 new accounts within a 6-month period might raise concerns for lenders. Each hard inquiry can slightly lower your score temporarily.

  • Q7: Can I calculate my exact FICO or VantageScore with this tool?

    A: No, this calculator provides a proxy and educational tool. Exact FICO and VantageScore calculations use proprietary algorithms and consider many more nuances. This tool helps you understand the key factors involved in a weighted credit calculation.

  • Q8: What if my payment history score is low? What's the best way to fix it?

    A: The most effective way is to ensure all future payments are made on time. Consider setting up automatic payments or reminders. While past negative marks remain for a period, consistent positive behavior over time will gradually improve your score.

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"%" : "") + "."; errorElement.style.display = 'block'; return false; } return true; } function calculateCredit() { // Validate all inputs first var isValid = true; isValid &= validateInput('numAccounts', 0, null, 'numAccountsError'); isValid &= validateInput('totalDebt', 0, null, 'totalDebtError'); isValid &= validateInput('creditLimit', 0, null, 'creditLimitError'); isValid &= validateInput('paymentHistoryScore', 0, 100, 'paymentHistoryScoreError'); isValid &= validateInput('creditAgeAvg', 0, null, 'creditAgeAvgError'); isValid &= validateInput('newAccounts', 0, null, 'newAccountsError'); isValid &= validateInput('creditMix', 0, 10, 'creditMixError'); if (!isValid) { document.getElementById('unweightedResult').textContent = "–"; document.getElementById('debtToLimitRatio').textContent = "-"; document.getElementById('avgCreditAgeDisplay').textContent = "-"; document.getElementById('paymentHistoryImpact').textContent = "-"; document.getElementById('creditMixImpact').textContent = "-"; document.getElementById('newAccountsImpact').textContent = "-"; updateTableValues('–', '–', '–', '–', '–'); clearChart(); return; } var numAccounts = parseFloat(document.getElementById('numAccounts').value); var totalDebt = parseFloat(document.getElementById('totalDebt').value); var creditLimit = parseFloat(document.getElementById('creditLimit').value); var paymentHistoryScore = parseFloat(document.getElementById('paymentHistoryScore').value); var creditAgeAvg = parseFloat(document.getElementById('creditAgeAvg').value); var newAccounts = parseFloat(document.getElementById('newAccounts').value); var creditMix = parseFloat(document.getElementById('creditMix').value); // — Calculations — // 1. Debt-to-Limit Ratio (Credit Utilization) var debtToLimitRatio = 0; if (creditLimit > 0) { debtToLimitRatio = (totalDebt / creditLimit) * 100; } debtToLimitRatio = Math.max(0, Math.min(100, debtToLimitRatio)); // Cap at 0-100% // 2. Simplified Unweighted Score (Proxy) – Example logic, highly simplified // This is a conceptual scoring, not a real credit model. // Assign points based on thresholds and scale them. var score = 300; // Base score // Payment History Impact var paymentImpact = (paymentHistoryScore / 100) * 35; // Max 35 points for perfect history score += paymentImpact; var paymentHistoryContribution = (paymentImpact / 35) * 100; // Percentage contribution // Credit Utilization Impact var utilizationScore = 0; if (debtToLimitRatio <= 10) utilizationScore = 30; else if (debtToLimitRatio <= 30) utilizationScore = 25; else if (debtToLimitRatio <= 50) utilizationScore = 15; else if (debtToLimitRatio = 120) agePoints = 15; // 10+ years else if (creditAgeAvg >= 72) agePoints = 12; // 6-10 years else if (creditAgeAvg >= 36) agePoints = 8; // 3-6 years else if (creditAgeAvg >= 12) agePoints = 4; // 1-3 years score += agePoints; var ageContribution = (agePoints / 15) * 100; // Percentage contribution // Credit Mix Impact var mixPoints = (creditMix / 10) * 10; // Max 10 points score += mixPoints; var mixContribution = (mixPoints / 10) * 100; // Percentage contribution // New Credit Impact var newCreditPoints = 0; if (newAccounts == 0) newCreditPoints = 10; else if (newAccounts == 1) newCreditPoints = 5; else newCreditPoints = 0; var newCreditContribution = (newCreditPoints / 10) * 100; // Percentage contribution score += newCreditPoints; // Cap score at realistic range (e.g., 300-850) score = Math.max(300, Math.min(850, score)); // — Display Results — document.getElementById('unweightedResult').textContent = Math.round(score); document.getElementById('debtToLimitRatio').textContent = debtToLimitRatio.toFixed(2); document.getElementById('avgCreditAgeDisplay').textContent = Math.round(creditAgeAvg); // Display impact percentages (conceptual) var totalEffectiveWeight = 35 + 30 + 15 + 10 + 10; // Base weights document.getElementById('paymentHistoryImpact').textContent = (paymentHistoryScore/100*35/totalEffectiveWeight*100).toFixed(1) + "%"; // Simplified representation document.getElementById('creditMixImpact').textContent = (creditMix/10*10/totalEffectiveWeight*100).toFixed(1) + "%"; document.getElementById('newAccountsImpact').textContent = (newAccounts === 0 ? 10 : (newAccounts === 1 ? 5 : 0)) + "%"; // simplified representation // Update Table updateTableValues( paymentHistoryScore + "/100", debtToLimitRatio.toFixed(2) + "%", creditAgeAvg + " months", creditMix + "/10″, newAccounts ); // Update Chart updateChart( utilizationContribution, // Renamed for clarity in chart context paymentHistoryScore, // Direct score reflected ageContribution, mixContribution, newCreditContribution ); } function updateTableValues(payment, utilization, age, mix, newAcc) { document.getElementById('tblPaymentHistory').textContent = payment; document.getElementById('tblUtilization').textContent = utilization; document.getElementById('tblCreditAge').textContent = age; document.getElementById('tblCreditMix').textContent = mix; document.getElementById('tblNewCredit').textContent = newAcc; } function clearChart() { var canvas = document.getElementById('creditContributionChart'); if (canvas) { var ctx = canvas.getContext('2d'); ctx.clearRect(0, 0, canvas.width, canvas.height); } } function updateChart(utilizationPerc, paymentPerc, agePerc, mixPerc, newAccPerc) { var canvas = document.getElementById('creditContributionChart'); if (!canvas) return; // Exit if canvas element doesn't exist var ctx = canvas.getContext('2d'); canvas.width = canvas.offsetWidth; // Ensure canvas resizes with container canvas.height = canvas.offsetHeight; var data = { labels: ['Credit Utilization', 'Payment History', 'Credit Age', 'Credit Mix', 'New Credit'], datasets: [{ label: 'Estimated Contribution (%)', data: [utilizationPerc, paymentPerc, agePerc, mixPerc, newAccPerc], backgroundColor: [ 'rgba(255, 99, 132, 0.6)', // Credit Utilization 'rgba(54, 162, 235, 0.6)', // Payment History 'rgba(255, 206, 86, 0.6)', // Credit Age 'rgba(75, 192, 192, 0.6)', // Credit Mix 'rgba(153, 102, 255, 0.6)' // New Credit ], borderColor: [ 'rgba(255, 99, 132, 1)', 'rgba(54, 162, 235, 1)', 'rgba(255, 206, 86, 1)', 'rgba(75, 192, 192, 1)', 'rgba(153, 102, 255, 1)' ], borderWidth: 1 }] }; // Destroy previous chart instance if it exists var existingChart = Chart.getChart(ctx); if (existingChart) { existingChart.destroy(); } new Chart(ctx, { type: 'bar', data: data, options: { responsive: true, maintainAspectRatio: false, scales: { y: { beginAtZero: true, max: 100, // Max contribution is 100% title: { display: true, text: 'Estimated Impact (%)' } }, x: { title: { display: true, text: 'Credit Factor' } } }, plugins: { legend: { display: false // Hide legend as labels are on the axis }, title: { display: true, text: 'Breakdown of Estimated Factor Contributions' } } } }); } function resetCalculator() { document.getElementById('numAccounts').value = 5; document.getElementById('totalDebt').value = 15000; document.getElementById('creditLimit').value = 50000; document.getElementById('paymentHistoryScore').value = 95; document.getElementById('creditAgeAvg').value = 60; document.getElementById('newAccounts').value = 1; document.getElementById('creditMix').value = 7; // Clear errors document.getElementById('numAccountsError').textContent = "; document.getElementById('totalDebtError').textContent = "; document.getElementById('creditLimitError').textContent = "; document.getElementById('paymentHistoryScoreError').textContent = "; document.getElementById('creditAgeAvgError').textContent = "; document.getElementById('newAccountsError').textContent = "; document.getElementById('creditMixError').textContent = "; calculateCredit(); // Recalculate with default values } function copyResults() { var unweightedResult = document.getElementById('unweightedResult').textContent; var debtToLimitRatio = document.getElementById('debtToLimitRatio').textContent; var avgCreditAgeDisplay = document.getElementById('avgCreditAgeDisplay').textContent; var paymentHistoryImpact = document.getElementById('paymentHistoryImpact').textContent; var creditMixImpact = document.getElementById('creditMixImpact').textContent; var newAccountsImpact = document.getElementById('newAccountsImpact').textContent; var assumptions = "Key Assumptions:\n"; assumptions += "- Payment History Score: " + document.getElementById('paymentHistoryScore').value + "\n"; assumptions += "- Credit Utilization (Debt/Limit): " + debtToLimitRatio + "\n"; assumptions += "- Average Credit Age: " + avgCreditAgeDisplay + " months\n"; assumptions += "- Credit Mix Score: " + document.getElementById('creditMix').value + "\n"; assumptions += "- New Accounts: " + document.getElementById('newAccounts').value + "\n"; var textToCopy = "Credit Assessment Results:\n"; textToCopy += "Unweighted Credit Score (Proxy): " + unweightedResult + "\n\n"; textToCopy += "Key Metrics:\n"; textToCopy += "- Debt-to-Limit Ratio: " + debtToLimitRatio + "\n"; textToCopy += "- Average Credit Age: " + avgCreditAgeDisplay + " months\n"; textToCopy += "- Payment History Impact: " + paymentHistoryImpact + "\n"; textToCopy += "- Credit Mix Impact: " + creditMixImpact + "\n"; textToCopy += "- New Accounts Impact: " + newAccountsImpact + "\n\n"; textToCopy += assumptions; // Use the Clipboard API navigator.clipboard.writeText(textToCopy).then(function() { // Show success message briefly var copyButton = document.querySelector('button.success'); var originalText = copyButton.textContent; copyButton.textContent = 'Copied!'; copyButton.style.backgroundColor = 'var(–success-color)'; setTimeout(function() { copyButton.textContent = originalText; copyButton.style.backgroundColor = "; // Reset to original color }, 2000); }).catch(function(err) { console.error('Failed to copy text: ', err); // Fallback for older browsers or if API fails alert("Could not copy results. Please copy manually:\n\n" + textToCopy); }); } // Initial calculation on page load window.onload = function() { // Ensure Chart.js is loaded or provide a fallback if (typeof Chart === 'undefined') { console.error("Chart.js library not found. Chart will not render."); var chartContainer = document.getElementById('chart-container'); if (chartContainer) { chartContainer.innerHTML = "

Contribution Chart Unavailable

Please ensure the Chart.js library is included for dynamic visualizations."; } } else { // Initialize with dummy data or placeholder if needed, or call calculateCredit() calculateCredit(); } }; // Re-calculate on input change var inputs = document.querySelectorAll('.loan-calc-container input[type="number"], .loan-calc-container select'); for (var i = 0; i < inputs.length; i++) { inputs[i].addEventListener('input', calculateCredit); } // Initial calculation call to set default values and chart calculateCredit();

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