Digital Calculators

Digital Calculator: Optimize Your Online Tool Creation :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; } .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; } h2, h3 { color: var(–primary-color); margin-top: 1.5em; margin-bottom: 0.5em; } .calculator-section { margin-bottom: 40px; padding: 25px; border: 1px solid var(–border-color); border-radius: 8px; background-color: var(–card-background); box-shadow: var(–shadow); } .calculator-section h2 { text-align: center; margin-top: 0; } .loan-calc-container { display: flex; flex-direction: column; gap: 15px; } .input-group { display: flex; flex-direction: column; gap: 5px; } .input-group label { font-weight: bold; color: var(–primary-color); } .input-group input[type="number"], .input-group input[type="text"], .input-group select { padding: 10px; border: 1px solid var(–border-color); border-radius: 4px; font-size: 1em; width: calc(100% – 22px); /* Account for padding */ } .input-group input[type="number"]:focus, .input-group input[type="text"]:focus, .input-group select:focus { outline: none; border-color: var(–primary-color); box-shadow: 0 0 0 2px rgba(0, 74, 153, 0.2); } .input-group .helper-text { font-size: 0.85em; color: #666; } .error-message { color: red; font-size: 0.85em; margin-top: 5px; display: none; /* Hidden by default */ } .button-group { display: flex; gap: 10px; margin-top: 20px; flex-wrap: wrap; } .button-group button { padding: 10px 15px; border: none; border-radius: 4px; cursor: pointer; font-size: 1em; font-weight: bold; transition: background-color 0.3s ease; } .btn-calculate { background-color: var(–primary-color); color: white; } .btn-calculate:hover { background-color: #003366; } .btn-reset { background-color: #6c757d; color: white; } .btn-reset:hover { background-color: #5a6268; } .btn-copy { background-color: #ffc107; color: #212529; } .btn-copy:hover { background-color: #e0a800; } #results-container { margin-top: 30px; padding: 20px; border: 1px solid var(–border-color); border-radius: 8px; background-color: var(–card-background); box-shadow: var(–shadow); } #results-container h3 { margin-top: 0; text-align: center; } .result-item { margin-bottom: 15px; padding: 10px; border-bottom: 1px dashed var(–border-color); } .result-item:last-child { border-bottom: none; } .result-label { font-weight: bold; color: var(–primary-color); } .primary-result { font-size: 2em; font-weight: bold; color: var(–success-color); text-align: center; margin: 20px 0; padding: 15px; background-color: #e9f7ec; border-radius: 4px; } .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; } th, td { padding: 10px; text-align: left; border: 1px solid var(–border-color); } th { background-color: var(–primary-color); color: white; font-weight: bold; } 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; } #chart-container { text-align: center; margin-top: 30px; padding: 20px; border: 1px solid var(–border-color); border-radius: 8px; background-color: var(–card-background); box-shadow: var(–shadow); } #chart-container canvas { max-width: 100%; height: auto; } .article-content { margin-top: 40px; padding: 25px; border: 1px solid var(–border-color); border-radius: 8px; background-color: var(–card-background); box-shadow: var(–shadow); } .article-content p, .article-content ul, .article-content ol { margin-bottom: 1em; } .article-content li { margin-bottom: 0.5em; } .article-content a { color: var(–primary-color); text-decoration: none; } .article-content a:hover { text-decoration: underline; } .faq-item { margin-bottom: 15px; } .faq-item strong { display: block; color: var(–primary-color); margin-bottom: 5px; } .related-tools ul { list-style: none; padding: 0; } .related-tools li { margin-bottom: 10px; } .related-tools a { font-weight: bold; } .related-tools span { font-size: 0.9em; color: #666; display: block; margin-top: 3px; } @media (min-width: 768px) { .container { margin: 40px auto; padding: 30px; } .button-group { justify-content: center; } }

Digital Calculator

Estimate Key Metrics for Your Online Tool Development

Digital Calculator

Total hours estimated for design, development, and testing.
Cost per hour for your development team (e.g., $75).
Estimated number of unique users per month.
Percentage of MAU expected to convert to paying customers or generate revenue.
Average revenue generated from each monetized user per month (e.g., $10).
Estimated hours for ongoing updates, bug fixes, and support.

Your Digital Calculator Estimates

Estimated Development Cost:
Estimated Monthly Maintenance Cost:
Projected Monthly Revenue:
Estimated Monthly Profit/Loss:
Formula Used:
Estimated Development Cost = Development Hours * Developer Hourly Rate
Estimated Monthly Maintenance Cost = Maintenance Hours Per Month * Developer Hourly Rate
Projected Monthly Revenue = Monthly Active Users * Monetization Rate (%) * Average Revenue Per Monetized User
Estimated Monthly Profit/Loss = Projected Monthly Revenue – Estimated Monthly Maintenance Cost

Revenue vs. Cost Projection

What is a Digital Calculator?

A digital calculator, in the context of online tools and web applications, refers to a software-based utility designed to perform specific calculations for users. Unlike a physical calculator, these tools are accessed via a web browser or mobile app and are often embedded within websites to provide immediate value. They can range from simple unit converters and mortgage payment estimators to complex financial modeling tools, scientific calculators, or even custom business logic processors. The primary goal of a digital calculator is to simplify complex computations, provide data-driven insights, and enhance user engagement by offering a practical solution to a specific problem.

Who should use a digital calculator? Anyone looking to make informed decisions based on numerical data. This includes potential customers researching a product or service, businesses analyzing potential investments, students learning complex concepts, or individuals managing personal finances. For businesses, a well-designed digital calculator can serve as a powerful lead generation tool, educational resource, or a way to demonstrate the value of their offerings.

Common misconceptions about digital calculators include believing they are only for simple math problems or that they require extensive technical knowledge to use. In reality, they are versatile tools that can handle sophisticated algorithms and are typically designed with user-friendly interfaces. Another misconception is that building a digital calculator is prohibitively expensive; while complex calculators require significant investment, simpler tools can be developed cost-effectively.

Digital Calculator Formula and Mathematical Explanation

The core of a digital calculator lies in its underlying mathematical model. For a business-oriented digital calculator focused on estimating the viability of an online tool, the key metrics often revolve around costs, revenue, and profitability. The formulas used are designed to provide a clear financial picture.

Step-by-step derivation:

  1. Development Cost: This is the initial investment required to build the digital tool. It's calculated by multiplying the total estimated hours needed for development by the hourly rate of the development team.
  2. Maintenance Cost: Ongoing costs are crucial for the long-term success of any digital product. This is calculated by multiplying the estimated monthly maintenance hours by the developer's hourly rate.
  3. Projected Revenue: This estimates the income the digital tool is expected to generate. It involves identifying the potential user base (Monthly Active Users), determining the percentage of those users who will generate revenue (Monetization Rate), and multiplying by the average revenue obtained from each monetized user.
  4. Profit/Loss: The ultimate measure of financial performance. This is derived by subtracting the ongoing monthly maintenance costs from the projected monthly revenue.

Variable Explanations:

Variables Used in Digital Calculator Estimation
Variable Meaning Unit Typical Range
Estimated Development Hours Total time required to build the digital calculator tool. Hours 100 – 5000+
Developer Hourly Rate Cost charged by the developer or agency per hour of work. Currency (e.g., $) $25 – $150+
Projected Monthly Active Users (MAU) Number of unique users interacting with the tool monthly. Users 100 – 1,000,000+
Monetization Rate (%) Percentage of MAU that contribute to revenue (e.g., via subscription, ads, premium features). Percent (%) 0.1% – 10%+
Average Revenue Per Monetized User (ARPU) Average income generated from each user who pays or generates revenue. Currency (e.g., $) $1 – $100+
Monthly Maintenance Hours Estimated hours needed per month for upkeep, updates, and support. Hours 5 – 100+

Practical Examples (Real-World Use Cases)

Understanding the financial implications of a digital calculator is best illustrated through examples.

Example 1: A Simple Unit Converter Tool

A startup plans to launch a free unit converter website. They estimate:

  • Development Hours: 200 hours
  • Developer Hourly Rate: $60
  • Projected MAU: 50,000 users
  • Monetization Strategy: Displaying ads, aiming for a 1% monetization rate.
  • Average Revenue Per Monetized User (ARPU): $0.50 (from ad clicks/impressions)
  • Monthly Maintenance Hours: 15 hours

Calculations:

  • Estimated Development Cost: 200 hours * $60/hour = $12,000
  • Estimated Monthly Maintenance Cost: 15 hours * $60/hour = $900
  • Projected Monthly Revenue: 50,000 MAU * 1% * $0.50 = $2,500
  • Estimated Monthly Profit/Loss: $2,500 – $900 = $1,600

Interpretation: The initial investment is significant, but the tool is projected to become profitable within a few months, generating a positive monthly return after covering maintenance costs. This suggests a viable business model.

Example 2: A Complex Financial Planning Calculator

A financial advisory firm wants to offer a sophisticated retirement planning digital calculator on their website. They anticipate:

  • Development Hours: 800 hours
  • Developer Hourly Rate: $100
  • Projected MAU: 5,000 users
  • Monetization Strategy: Users can download a detailed report for a fee, targeting a 5% monetization rate.
  • Average Revenue Per Monetized User (ARPU): $50
  • Monthly Maintenance Hours: 40 hours

Calculations:

  • Estimated Development Cost: 800 hours * $100/hour = $80,000
  • Estimated Monthly Maintenance Cost: 40 hours * $100/hour = $4,000
  • Projected Monthly Revenue: 5,000 MAU * 5% * $50 = $12,500
  • Estimated Monthly Profit/Loss: $12,500 – $4,000 = $8,500

Interpretation: This example highlights a higher initial cost due to complexity. However, the potential revenue per user is substantial, leading to a strong projected monthly profit. The firm needs to ensure the value proposition justifies the $50 fee and that marketing efforts effectively reach the target audience.

How to Use This Digital Calculator

Our Digital Calculator is designed to provide a quick financial overview for your online tool projects. Follow these simple steps:

  1. Input Development Hours: Enter the total estimated hours required to build your digital calculator or online tool. Be realistic about the scope.
  2. Enter Developer Hourly Rate: Input the cost your development team charges per hour. This can vary based on location, experience, and whether you use freelancers or an agency.
  3. Estimate Monthly Active Users (MAU): Project the number of unique users you expect to engage with your tool each month.
  4. Specify Monetization Rate: Determine the percentage of MAU you anticipate will generate revenue. This depends heavily on your business model (e.g., subscriptions, ads, premium features).
  5. Set Average Revenue Per Monetized User (ARPU): Estimate the average amount of money you expect to earn from each user who contributes to revenue.
  6. Input Monthly Maintenance Hours: Estimate the ongoing hours needed for updates, bug fixes, and support.
  7. Click 'Calculate': The tool will instantly display your estimated development cost, monthly maintenance cost, projected monthly revenue, and the final estimated monthly profit or loss.

How to read results:

  • Estimated Development Cost: Your upfront investment.
  • Estimated Monthly Maintenance Cost: Your recurring operational expense.
  • Projected Monthly Revenue: Your potential income stream.
  • Estimated Monthly Profit/Loss: The net financial outcome after ongoing costs. A positive number indicates profit; a negative number indicates a loss.

Decision-making guidance: Use these figures to assess the financial feasibility of your project. A significant negative profit/loss might require re-evaluating your scope, monetization strategy, or user acquisition plan. A strong positive outlook can justify the investment and guide funding decisions. Remember, these are estimates; actual results may vary.

Key Factors That Affect Digital Calculator Results

Several variables significantly influence the accuracy and outcome of any digital calculator, especially those focused on financial projections:

  1. Scope and Complexity: A simple calculator requires fewer development hours and thus lower initial cost compared to a feature-rich application. The complexity directly impacts the 'Estimated Development Hours'.
  2. Developer Expertise and Location: Hourly rates vary dramatically. Developers in high-cost-of-living areas or those with specialized skills command higher rates, increasing both development and maintenance costs.
  3. User Acquisition Strategy: The projected 'Monthly Active Users' is heavily dependent on marketing efforts, SEO, and user engagement strategies. A weak acquisition plan leads to lower potential revenue.
  4. Monetization Model Effectiveness: The chosen method to generate revenue (ads, subscriptions, freemium, etc.) and its implementation directly affect the 'Monetization Rate' and 'ARPU'. A poorly optimized model yields less income.
  5. Market Demand and Competition: If the digital tool addresses a niche need or faces intense competition, achieving projected user numbers and revenue targets can be challenging. This impacts MAU and ARPU.
  6. Technological Stack and Scalability: Choosing the right technologies impacts development speed and long-term maintenance. A poorly chosen stack might lead to higher 'Monthly Maintenance Hours' or require costly refactoring later.
  7. Inflation and Economic Conditions: While not directly in this calculator, broader economic factors can influence user spending habits (affecting ARPU) and operational costs over time.
  8. Ongoing Feature Development: To maintain user engagement and competitiveness, continuous updates and new features are often necessary, potentially increasing 'Monthly Maintenance Hours' beyond initial estimates.

Frequently Asked Questions (FAQ)

Q1: How accurate are these digital calculator estimates?

A: These are estimates based on the inputs you provide. Actual costs and revenues can vary significantly due to unforeseen challenges, market changes, and execution quality. They serve as a planning tool, not a guarantee.

Q2: Can I use this calculator for physical products?

A: This specific calculator is tailored for digital products like online tools and web applications. While some cost principles apply, factors like manufacturing, inventory, and physical distribution are not included.

Q3: What if my monetization strategy is complex (e.g., multiple streams)?

A: For complex models, try to calculate an *average* ARPU across all streams. You might need to run the calculator multiple times with different ARPU assumptions to explore various scenarios.

Q4: How do I determine the right 'Developer Hourly Rate'?

A: Research rates in your target development region (local or offshore). Consider the experience level needed. Freelance platforms and agency quotes can provide benchmarks.

Q5: What does 'Monetization Rate' really mean?

A: It's the percentage of your total users who actively contribute revenue. For ad-supported models, it might relate to ad viewability or click-through rates. For subscriptions, it's the percentage of users who subscribe.

Q6: Should I include marketing costs in this calculator?

A: This calculator focuses on development and operational costs versus revenue. Marketing costs are a separate, crucial budget item that should be planned alongside these figures.

Q7: What if my digital calculator is intended for internal use only?

A: If it's purely an internal tool with no direct revenue generation, focus on the development and maintenance costs. The 'profit/loss' would represent cost savings or efficiency gains, which need a different calculation method.

Q8: How often should I update my inputs?

A: Revisit your inputs periodically, especially if market conditions change, your user base grows significantly, or you adjust your monetization strategy. This ensures your projections remain relevant.

Related Tools and Internal Resources

© 2023 Your Company Name. All rights reserved.
var developmentHoursInput = document.getElementById('developmentHours'); var hourlyRateInput = document.getElementById('hourlyRate'); var monthlyUsersInput = document.getElementById('monthlyUsers'); var monetizationRateInput = document.getElementById('monetizationRate'); var averageRevenuePerUserInput = document.getElementById('averageRevenuePerUser'); var maintenanceHoursPerMonthInput = document.getElementById('maintenanceHoursPerMonth'); var estimatedDevelopmentCostSpan = document.getElementById('estimatedDevelopmentCost'); var estimatedMonthlyMaintenanceCostSpan = document.getElementById('estimatedMonthlyMaintenanceCost'); var projectedMonthlyRevenueSpan = document.getElementById('projectedMonthlyRevenue'); var estimatedMonthlyProfitLossSpan = document.getElementById('estimatedMonthlyProfitLoss'); var developmentHoursError = document.getElementById('developmentHoursError'); var hourlyRateError = document.getElementById('hourlyRateError'); var monthlyUsersError = document.getElementById('monthlyUsersError'); var monetizationRateError = document.getElementById('monetizationRateError'); var averageRevenuePerUserError = document.getElementById('averageRevenuePerUserError'); var maintenanceHoursPerMonthError = document.getElementById('maintenanceHoursPerMonthError'); var chart = null; var chartContext = null; var chartLegend = document.getElementById('chart-legend'); function formatCurrency(value) { if (isNaN(value) || value === null) return '–'; return '$' + value.toFixed(2).replace(/\d(?=(\d{3})+\.)/g, '$&,'); } function formatPercent(value) { if (isNaN(value) || value === null) return '–%'; return value.toFixed(2) + '%'; } function formatNumber(value) { if (isNaN(value) || value === null) return '–'; return value.toFixed(0).replace(/\d(?=(\d{3})+\.)/g, '$&,'); } function validateInput(inputElement, errorElement, minValue, maxValue) { var value = parseFloat(inputElement.value); var isValid = true; if (isNaN(value)) { errorElement.textContent = "Please enter a valid number."; errorElement.style.display = 'block'; isValid = false; } else if (value < 0) { errorElement.textContent = "Value cannot be negative."; errorElement.style.display = 'block'; isValid = false; } else if (minValue !== undefined && value maxValue) { errorElement.textContent = "Value is too high."; errorElement.style.display = 'block'; isValid = false; } else { errorElement.textContent = ""; errorElement.style.display = 'none'; } return isValid; } function calculateDigitalCalculator() { var isValid = true; isValid &= validateInput(developmentHoursInput, developmentHoursError, 0); isValid &= validateInput(hourlyRateInput, hourlyRateError, 0); isValid &= validateInput(monthlyUsersInput, monthlyUsersError, 0); isValid &= validateInput(monetizationRateInput, monetizationRateError, 0, 100); isValid &= validateInput(averageRevenuePerUserInput, averageRevenuePerUserError, 0); isValid &= validateInput(maintenanceHoursPerMonthInput, maintenanceHoursPerMonthError, 0); if (!isValid) { estimatedDevelopmentCostSpan.textContent = '–'; estimatedMonthlyMaintenanceCostSpan.textContent = '–'; projectedMonthlyRevenueSpan.textContent = '–'; estimatedMonthlyProfitLossSpan.textContent = '–'; updateChart(0, 0, 0); return; } var developmentHours = parseFloat(developmentHoursInput.value); var hourlyRate = parseFloat(hourlyRateInput.value); var monthlyUsers = parseFloat(monthlyUsersInput.value); var monetizationRate = parseFloat(monetizationRateInput.value) / 100; var averageRevenuePerUser = parseFloat(averageRevenuePerUserInput.value); var maintenanceHoursPerMonth = parseFloat(maintenanceHoursPerMonthInput.value); var estimatedDevelopmentCost = developmentHours * hourlyRate; var estimatedMonthlyMaintenanceCost = maintenanceHoursPerMonth * hourlyRate; var projectedMonthlyRevenue = monthlyUsers * monetizationRate * averageRevenuePerUser; var estimatedMonthlyProfitLoss = projectedMonthlyRevenue – estimatedMonthlyMaintenanceCost; estimatedDevelopmentCostSpan.textContent = formatCurrency(estimatedDevelopmentCost); estimatedMonthlyMaintenanceCostSpan.textContent = formatCurrency(estimatedMonthlyMaintenanceCost); projectedMonthlyRevenueSpan.textContent = formatCurrency(projectedMonthlyRevenue); estimatedMonthlyProfitLossSpan.textContent = formatCurrency(estimatedMonthlyProfitLoss); updateChart(projectedMonthlyRevenue, estimatedMonthlyMaintenanceCost, estimatedDevelopmentCost); } function resetCalculator() { developmentHoursInput.value = 500; hourlyRateInput.value = 75; monthlyUsersInput.value = 10000; monetizationRateInput.value = 2; averageRevenuePerUserInput.value = 10; maintenanceHoursPerMonthInput.value = 20; developmentHoursError.style.display = 'none'; hourlyRateError.style.display = 'none'; monthlyUsersError.style.display = 'none'; monetizationRateError.style.display = 'none'; averageRevenuePerUserError.style.display = 'none'; maintenanceHoursPerMonthError.style.display = 'none'; calculateDigitalCalculator(); } function copyResults() { var devCost = estimatedDevelopmentCostSpan.textContent; var maintCost = estimatedMonthlyMaintenanceCostSpan.textContent; var revenue = projectedMonthlyRevenueSpan.textContent; var profitLoss = estimatedMonthlyProfitLossSpan.textContent; var assumptions = "Key Assumptions:\n" + "- Development Hours: " + formatNumber(parseFloat(developmentHoursInput.value)) + "\n" + "- Developer Hourly Rate: " + formatCurrency(parseFloat(hourlyRateInput.value)) + "\n" + "- Projected MAU: " + formatNumber(parseFloat(monthlyUsersInput.value)) + "\n" + "- Monetization Rate: " + formatPercent(parseFloat(monetizationRateInput.value)) + "\n" + "- ARPU: " + formatCurrency(parseFloat(averageRevenuePerUserInput.value)) + "\n" + "- Monthly Maintenance Hours: " + formatNumber(parseFloat(maintenanceHoursPerMonthInput.value)); var resultsText = "— Digital Calculator Results —\n\n" + "Estimated Development Cost: " + devCost + "\n" + "Estimated Monthly Maintenance Cost: " + maintCost + "\n" + "Projected Monthly Revenue: " + revenue + "\n" + "Estimated Monthly Profit/Loss: " + profitLoss + "\n\n" + assumptions; if (navigator.clipboard && window.isSecureContext) { navigator.clipboard.writeText(resultsText).then(function() { alert('Results copied to clipboard!'); }).catch(function(err) { console.error('Failed to copy: ', err); prompt("Copy this text manually:", resultsText); }); } else { // Fallback for older browsers or non-secure contexts prompt("Copy this text manually:", resultsText); } } function initializeChart() { var canvas = document.getElementById('digitalCalculatorChart'); chartContext = canvas.getContext('2d'); chart = new Chart(chartContext, { type: 'bar', data: { labels: ['Monthly Revenue', 'Monthly Maintenance Cost', 'Initial Development Cost (amortized monthly for visualization)'], datasets: [{ label: 'Financial Metrics', data: [0, 0, 0], backgroundColor: [ 'rgba(40, 167, 69, 0.6)', // Success Green for Revenue 'rgba(220, 53, 69, 0.6)', // Danger Red for Maintenance Cost 'rgba(0, 74, 153, 0.6)' // Primary Blue for Development Cost ], borderColor: [ 'rgba(40, 167, 69, 1)', 'rgba(220, 53, 69, 1)', 'rgba(0, 74, 153, 1)' ], borderWidth: 1 }] }, options: { responsive: true, maintainAspectRatio: false, scales: { y: { beginAtZero: true, ticks: { callback: function(value) { if (value % 10000 === 0) { return '$' + (value / 1000) + 'K'; } else if (value === 0) { return '0'; } return "; } } } }, plugins: { legend: { display: false // Using custom legend }, tooltip: { callbacks: { label: function(context) { var label = context.dataset.label || "; if (label) { label += ': '; } if (context.parsed.y !== null) { label += new Intl.NumberFormat('en-US', { style: 'currency', currency: 'USD' }).format(context.parsed.y); } return label; } } } } } }); updateChartLegend(); } function updateChart(revenue, maintenanceCost, developmentCost) { if (!chart) { initializeChart(); } // Amortize development cost over a hypothetical period (e.g., 12 months) for visualization var amortizedDevelopmentCost = developmentCost / 12; chart.data.datasets[0].data = [revenue, maintenanceCost, amortizedDevelopmentCost]; chart.update(); updateChartLegend(); } function updateChartLegend() { var data = chart.data.datasets[0].data; var colors = chart.data.datasets[0].backgroundColor; var labels = chart.data.labels; chartLegend.innerHTML = "; // Clear previous legend for (var i = 0; i < data.length; i++) { var legendItem = document.createElement('div'); legendItem.style.display = 'flex'; legendItem.style.alignItems = 'center'; legendItem.style.marginBottom = '5px'; var colorBox = document.createElement('span'); colorBox.style.display = 'inline-block'; colorBox.style.width = '15px'; colorBox.style.height = '15px'; colorBox.style.marginRight = '8px'; colorBox.style.backgroundColor = colors[i]; colorBox.style.border = '1px solid #ccc'; var text = document.createElement('span'); var formattedValue = '–'; if (i === 0) formattedValue = formatCurrency(data[i]); // Revenue else if (i === 1) formattedValue = formatCurrency(data[i]); // Maintenance Cost else if (i === 2) formattedValue = formatCurrency(data[i]) + " (amortized)"; // Development Cost text.textContent = labels[i] + ": " + formattedValue; legendItem.appendChild(colorBox); legendItem.appendChild(text); chartLegend.appendChild(legendItem); } } // Initial calculation and chart setup on page load document.addEventListener('DOMContentLoaded', function() { calculateDigitalCalculator(); initializeChart(); // Initialize chart structure // Trigger initial update after initialization var devHours = parseFloat(developmentHoursInput.value); var hRate = parseFloat(hourlyRateInput.value); var mUsers = parseFloat(monthlyUsersInput.value); var mRate = parseFloat(monetizationRateInput.value) / 100; var arpu = parseFloat(averageRevenuePerUserInput.value); var maintHours = parseFloat(maintenanceHoursPerMonthInput.value); var rev = mUsers * mRate * arpu; var maintCost = maintHours * hRate; var devCost = devHours * hRate; updateChart(rev, maintCost, devCost); }); // Add event listeners for real-time updates developmentHoursInput.addEventListener('input', calculateDigitalCalculator); hourlyRateInput.addEventListener('input', calculateDigitalCalculator); monthlyUsersInput.addEventListener('input', calculateDigitalCalculator); monetizationRateInput.addEventListener('input', calculateDigitalCalculator); averageRevenuePerUserInput.addEventListener('input', calculateDigitalCalculator); maintenanceHoursPerMonthInput.addEventListener('input', calculateDigitalCalculator);

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