The Calculator Site Weight

Calculator Site Weight: Calculate Your Website's Data Size – SEO Content Pro body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; background-color: #f8f9fa; color: #333; line-height: 1.6; margin: 0; padding: 0; } .container { max-width: 1000px; margin: 20px auto; padding: 20px; background-color: #ffffff; box-shadow: 0 2px 10px rgba(0, 0, 0, 0.1); border-radius: 8px; } header { background-color: #004a99; color: #ffffff; padding: 20px; text-align: center; border-radius: 8px 8px 0 0; margin-bottom: 20px; } header h1 { margin: 0; font-size: 2.2em; } .calculator-section { margin-bottom: 40px; padding: 30px; background-color: #ffffff; border: 1px solid #e0e0e0; border-radius: 8px; } .calculator-section h2 { color: #004a99; margin-top: 0; text-align: center; margin-bottom: 25px; } .input-group { margin-bottom: 20px; text-align: left; } .input-group label { display: block; margin-bottom: 8px; font-weight: bold; color: #004a99; } .input-group input[type="number"], .input-group select { width: calc(100% – 20px); padding: 12px 10px; border: 1px solid #ccc; border-radius: 4px; font-size: 1em; box-sizing: border-box; } .input-group input[type="number"]:focus, .input-group select:focus { border-color: #004a99; outline: none; box-shadow: 0 0 0 2px rgba(0, 74, 153, 0.2); } .input-group small { display: block; margin-top: 5px; font-size: 0.85em; color: #666; } .error-message { color: #dc3545; font-size: 0.8em; margin-top: 5px; min-height: 1.2em; } .button-group { display: flex; justify-content: space-between; margin-top: 25px; gap: 10px; } .button-group button { padding: 12px 20px; border: none; border-radius: 4px; font-size: 1em; cursor: pointer; transition: background-color 0.3s ease; flex: 1; } .btn-calculate { background-color: #28a745; color: white; } .btn-calculate:hover { background-color: #218838; } .btn-reset, .btn-copy { background-color: #6c757d; color: white; } .btn-reset:hover, .btn-copy:hover { background-color: #5a6268; } .results-section { margin-top: 30px; padding: 25px; background-color: #e9ecef; border-radius: 8px; text-align: center; border: 1px solid #dee2e6; } .results-section h3 { color: #004a99; margin-top: 0; margin-bottom: 20px; } #primary-result { font-size: 2.5em; font-weight: bold; color: #28a745; margin-bottom: 15px; display: block; background-color: #ffffff; padding: 15px; border-radius: 5px; border: 1px solid #c3e6cb; } .intermediate-results div { margin-bottom: 10px; font-size: 1.1em; } .intermediate-results strong { color: #004a99; } .formula-explanation { margin-top: 15px; font-size: 0.95em; color: #555; border-top: 1px dashed #ccc; padding-top: 15px; } canvas { margin-top: 20px; border: 1px solid #ddd; border-radius: 4px; } table { width: 100%; border-collapse: collapse; margin-top: 20px; margin-bottom: 30px; } th, td { padding: 10px; text-align: left; border-bottom: 1px solid #ddd; } th { background-color: #004a99; color: white; font-weight: bold; } tr:nth-child(even) { background-color: #f2f2f2; } caption { font-size: 1.1em; font-weight: bold; color: #004a99; margin-bottom: 10px; text-align: center; } .article-section { margin-top: 40px; background-color: #ffffff; padding: 30px; border-radius: 8px; border: 1px solid #e0e0e0; } .article-section h2, .article-section h3 { color: #004a99; margin-bottom: 15px; } .article-section h2 { font-size: 1.8em; border-bottom: 2px solid #004a99; padding-bottom: 8px; } .article-section h3 { font-size: 1.4em; margin-top: 25px; } .article-section p { margin-bottom: 15px; } .article-section ul, .article-section ol { margin-left: 25px; margin-bottom: 15px; } .article-section li { margin-bottom: 8px; } .faq-item { margin-bottom: 15px; } .faq-item strong { display: block; color: #004a99; margin-bottom: 5px; } .internal-links { margin-top: 30px; padding: 20px; background-color: #f0f5f9; border: 1px solid #d0e0f0; border-radius: 6px; } .internal-links h3 { color: #004a99; margin-top: 0; margin-bottom: 15px; } .internal-links ul { list-style: none; padding: 0; margin: 0; } .internal-links li { margin-bottom: 10px; } .internal-links a { color: #004a99; text-decoration: none; font-weight: bold; } .internal-links a:hover { text-decoration: underline; } .internal-links p { font-size: 0.9em; color: #555; margin-top: 5px; } #chartContainer { text-align: center; margin-top: 20px; }

Calculator Site Weight

Understand and Optimize Your Website's Data Size

Calculate Your Website's Data Size

Estimate the total number of distinct pages on your website.
Approximate size of an average page in Kilobytes (images, scripts, HTML, CSS).
70% (Good Compression) 50% (Aggressive Compression) 90% (Minimal Compression) 60% (Balanced) Estimates how much image size can be reduced. 1.0 is no compression.
60% (Significant Minification) 80% (Moderate Minification) 95% (Aggressive Minification) 70% (Standard Minification) Estimates how much JavaScript/CSS size can be reduced by removing whitespace and comments.
30% (Excellent Compression) 40% (Very Good Compression) 50% (Good Compression) 25% (Optimal) Estimates the reduction in file size when using server-side compression (like Gzip or Brotli).

Your Website's Estimated Optimized Weight

Total Initial Weight:
Estimated Image Weight:
Estimated Script/CSS Weight:
Total Optimized Weight:
The "Site Weight" is calculated by estimating the total data transferred for all pages. We start with the total initial weight (pages * average page size), then apply factors for image compression, script minification, and server-side compression (like Gzip) to estimate the optimized weight users will experience.
Website Weight Breakdown (Initial vs. Optimized)
Key Assumptions and Metrics
Metric Value Unit
Number of Pages Pages
Average Initial Page Weight KB
Image Compression Factor % Reduction
Script/CSS Minification Factor % Reduction
Gzip/Brotli Compression Factor % Reduction
Total Initial Website Weight MB
Estimated Optimized Website Weight MB

What is Calculator Site Weight?

The "Calculator Site Weight" refers to the total amount of data (measured in kilobytes or megabytes) that a user's browser needs to download to render a webpage or an entire website. It's a critical performance metric that directly impacts user experience, search engine rankings, and conversion rates. Understanding your calculator site weight involves breaking down the components of your web pages, such as HTML, CSS, JavaScript, images, fonts, and other media files. A heavy site weight means longer loading times, which can frustrate visitors and lead them to abandon your site. In the context of a calculator, it helps you estimate the data size associated with the interface and any dynamic content it generates.

Who should use it: Website owners, SEO specialists, web developers, digital marketers, and content creators should use a calculator site weight tool. Anyone concerned with website performance, user engagement, or search engine optimization will find this metric invaluable. Developers can use it during the development phase to set performance budgets, while marketers can use it to identify optimization opportunities.

Common misconceptions: One common misconception is that site weight only refers to images. In reality, scripts (JavaScript), stylesheets (CSS), HTML markup, fonts, and even video files contribute significantly. Another misconception is that a slightly heavier page is acceptable. However, even a few extra seconds of loading time can lead to a substantial drop in user satisfaction and conversions. Furthermore, people sometimes confuse the size of files on the server with the actual size delivered to the user, which is affected by compression and caching.

Calculator Site Weight Formula and Mathematical Explanation

The formula for estimating the Calculator Site Weight aims to provide a realistic figure for the data transferred to the user's browser, taking into account various optimization techniques.

Step-by-step derivation:

  1. Calculate Total Initial Website Weight: This is the baseline, unoptimized size of all pages combined.
    Total Initial Weight = Number of Pages × Average Page Weight (KB)
  2. Estimate Optimized Image Weight: Apply the image compression ratio to the portion of the page weight attributed to images. For simplicity in this calculator, we'll assume a portion of the average page weight is images and apply the ratio. A more precise method would be to know the exact image percentage, but for estimation, we'll use an overall reduction factor.
    We simplify this by applying the image compression ratio to a portion of the *total* initial weight, or more directly, adjust the *average page weight* conceptually before combining it with other factors. For this calculator's primary output, we'll apply an aggregate optimization factor.
  3. Estimate Optimized Script/CSS Weight: Similarly, apply the script minification ratio.
  4. Apply Server-Side Compression (Gzip/Brotli): This is a crucial step that compresses all files before sending them over the network. The ratio indicates the percentage reduction.
    Optimized Weight = Total Initial Weight × (1 - (1 - Image Compression Ratio) × (1 - Script/CSS Minification Ratio)) × Gzip/Brotli Compression Ratio
    Note: This simplified formula assumes factors are applied sequentially or multiplicatively. A more accurate approach might involve a weighted average or considering the actual composition of a page. For practical estimation, we'll use a combined optimization factor.
  5. Final Optimized Weight: This is the calculated total size after considering all optimization factors.
    Final Optimized Weight = Total Initial Weight × Combined Optimization Factor
    Where Combined Optimization Factor is derived from the individual compression ratios. The calculator simplifies this by applying a derived reduction to the total initial weight.

Variable Explanations:

  • Number of Pages: The total count of unique pages on your website.
  • Average Page Weight (KB): The average file size of a single page when downloaded, including all assets.
  • Image Compression Ratio: A factor representing the percentage reduction in image file size after optimization (e.g., 0.7 means images are 70% of their original size).
  • Script Minification Ratio: A factor representing the reduction in file size for JavaScript and CSS files after removing unnecessary characters.
  • Gzip/Brotli Compression Ratio: A factor indicating the file size reduction achieved by server-side compression techniques.

Variables Table:

Variable Meaning Unit Typical Range
Number of Pages Total unique pages on the website Count 1 – 1,000,000+
Average Page Weight (KB) Average size of a single page download Kilobytes (KB) 100 KB – 5,000+ KB
Image Compression Ratio Reduction factor for image file sizes (e.g., 0.7 = 70% of original size) Decimal (0 to 1) 0.4 – 0.95
Script Minification Ratio Reduction factor for JS/CSS file sizes (e.g., 0.6 = 60% of original size) Decimal (0 to 1) 0.5 – 0.95
Gzip/Brotli Compression Ratio Reduction factor from server compression (e.g., 0.3 = 30% of original size) Decimal (0 to 1) 0.2 – 0.5

Practical Examples (Real-World Use Cases)

Understanding calculator site weight is crucial for optimizing web performance. Let's look at a couple of examples:

Example 1: A Small Business Blog

A small business runs a blog with 50 pages. Each page averages 1.2 MB (1200 KB) due to a mix of text, moderate images, and standard scripts. They implement good image compression (70% ratio), decent script minification (75% ratio), and use Gzip compression (40% ratio).

Inputs:

  • Number of Pages: 50
  • Average Page Weight (KB): 1200
  • Image Compression Ratio: 0.7
  • Script Minification Ratio: 0.75
  • Gzip/Brotli Compression Ratio: 0.4

Calculation Breakdown:

  • Total Initial Weight: 50 pages * 1200 KB/page = 60,000 KB = 60 MB
  • Combined Optimization Factor: Approximately derived from applying ratios sequentially. A simplified view might estimate final size closer to 25-30% of initial before Gzip, then Gzip further reduces it. Let's use the calculator's logic for precise values.
  • Estimated Optimized Weight (from calculator): ~16.2 MB

Interpretation: Without optimizations, the site would transfer 60 MB. With good practices, this is reduced to around 16.2 MB. This significant reduction drastically improves load times, especially on slower connections, leading to better user experience and potentially higher search rankings for their valuable content. This highlights the importance of optimizing images and scripts, and enabling server compression.

Example 2: An E-commerce Product Catalog

An online store has 500 product pages. Each page is relatively heavy, averaging 2.5 MB (2500 KB) due to high-resolution product images, complex product configurators (JavaScript), and large CSS files. They aim for aggressive optimization: excellent image compression (50% ratio), aggressive script minification (60% ratio), and optimal Gzip compression (30% ratio).

Inputs:

  • Number of Pages: 500
  • Average Page Weight (KB): 2500
  • Image Compression Ratio: 0.5
  • Script Minification Ratio: 0.6
  • Gzip/Brotli Compression Ratio: 0.3

Calculation Breakdown:

  • Total Initial Weight: 500 pages * 2500 KB/page = 1,250,000 KB = 1250 MB (1.25 GB)
  • Estimated Optimized Weight (from calculator): ~281.25 MB

Interpretation: This e-commerce site faces a massive potential data transfer of 1.25 GB without optimizations. Even with aggressive optimization efforts, the site weight remains substantial at ~281 MB. This indicates that while optimization techniques are essential, the sheer volume and size of assets (especially images) are the primary drivers. This data suggests a need for further asset optimization, lazy loading strategies, and possibly reviewing the necessity of such large assets per page to improve the overall site weight and conversion rates. A large site weight here could severely impact mobile users and negatively affect SEO performance.

How to Use This Calculator Site Weight Calculator

Our Calculator Site Weight tool is designed for simplicity and accuracy. Follow these steps to estimate your website's data size and identify optimization opportunities:

  1. Enter Number of Pages: Input the total count of unique, publicly accessible pages on your website. Be realistic – include blog posts, product pages, category pages, and essential landing pages.
  2. Input Average Page Weight (KB): Estimate the average size of a single page in Kilobytes. You can find this data using browser developer tools (Network tab) or website performance testing tools like Google PageSpeed Insights or GTmetrix. Look for the total request size for representative pages.
  3. Select Optimization Ratios:
    • Image Compression Ratio: Choose a value reflecting how well your images are compressed. Lower values (e.g., 0.5) indicate aggressive compression, reducing file size significantly.
    • Script Minification Ratio: Select a ratio for your JavaScript and CSS files. Lower values (e.g., 0.6) suggest substantial minification, stripping away whitespace and comments.
    • Gzip/Brotli Compression Ratio: Indicate the effectiveness of your server-side compression. Lower values (e.g., 0.3) mean better compression ratios achieved by your web server.
    If you're unsure, start with the default values which represent common, good optimization practices.
  4. Calculate Weight: Click the "Calculate Weight" button. The calculator will process your inputs instantly.

How to Read Results:

  • Primary Highlighted Result: This shows the estimated "Total Optimized Website Weight" in Megabytes (MB). This is the most crucial number, representing the data a user will likely download. A lower number is better.
  • Intermediate Values: These provide a breakdown:
    • Total Initial Weight: The estimated total size before any optimizations.
    • Estimated Image Weight: A conceptual breakdown of how much images contribute.
    • Estimated Script/CSS Weight: A conceptual breakdown of how much scripts and styles contribute.
    • Total Optimized Weight: The final estimated size after all selected optimizations.
  • Chart: Visualize the difference between your initial and optimized website weight.
  • Assumptions Table: Review the exact values used in the calculation for clarity.

Decision-Making Guidance: Use the results to prioritize your optimization efforts. If the "Total Optimized Website Weight" is still high (e.g., over 2-3 MB for a typical website), focus on reducing the largest contributors, which are often images and third-party scripts. If the initial weight is astronomical compared to the optimized weight, it signifies that enabling server-side compression (Gzip/Brotli) and optimizing assets are highly effective strategies. Aim to keep your website's total weight as low as possible to improve crawlability by search engines and provide a superior user experience, impacting your overall SEO performance.

Key Factors That Affect Calculator Site Weight Results

Several factors significantly influence the calculated site weight and the effectiveness of optimization techniques. Understanding these helps in interpreting the results and making informed decisions:

  1. Image File Types and Formats: Using modern formats like WebP or AVIF can drastically reduce image file sizes compared to older formats like JPEG or PNG, even at similar quality levels. The calculator implicitly assumes optimization efforts are made across all image assets.
  2. Image Dimensions and Resolution: Serving images that are larger than their display dimensions on the screen is wasteful. Resizing images appropriately before uploading them is a fundamental optimization step that directly impacts the "Average Page Weight" input.
  3. Number and Size of Third-Party Scripts: External scripts (ads, analytics, social media widgets, trackers) can add substantial weight and slow down page rendering. Each script requires its own download, parsing, and execution time, impacting both the size and the perceived performance.
  4. CSS Complexity and Optimization: Large, unoptimized CSS files increase download size. Techniques like code splitting, removing unused CSS, and minification (accounted for in the calculator) are crucial. Critical CSS (styles needed for above-the-fold content) can also be inlined to improve initial rendering.
  5. JavaScript Execution Time: Beyond just file size (minification), the amount of time JavaScript takes to parse, compile, and execute (runtime performance) is critical. Heavy client-side processing can block the main thread, delaying interactivity, even if the file itself isn't massive. This is not directly measured by basic site weight but is a related performance factor.
  6. Font Loading Strategies: Web fonts can add significant weight. Using formats like WOFF2, subsetting fonts (including only the characters needed), and employing efficient loading strategies (like `font-display: swap`) are important considerations for managing their impact.
  7. Server Response Time and Compression Efficiency: The "Gzip/Brotli Compression Ratio" input reflects this. A well-configured server that uses modern compression algorithms (Brotli often outperforms Gzip) and responds quickly significantly reduces the actual data transferred and speeds up delivery.
  8. Caching Strategies: While not directly part of the initial download size calculation, effective browser and server caching means users don't have to re-download assets on subsequent visits. This dramatically improves perceived performance over time.

Frequently Asked Questions (FAQ)

Q1: What is considered a "good" website weight?

A "good" website weight is subjective and depends on the website's purpose. However, generally, aiming for a total page weight under 1-2 MB is recommended for optimal user experience, especially on mobile. For the entire site weight, lower is always better, with values under 10 MB being excellent for most non-media-heavy sites.

Q2: How can I find my website's current average page weight?

You can use browser developer tools (usually by pressing F12, navigating to the 'Network' tab, and reloading your page) to see the size of individual requests and the total transferred size for a page. Tools like Google PageSpeed Insights, GTmetrix, and WebPageTest also provide detailed reports on page weight and its components.

Q3: Does the calculator account for video files?

This specific calculator primarily focuses on HTML, CSS, JavaScript, and images, which are common across most websites. Large video files significantly increase site weight and are often handled differently (e.g., via streaming services). If your site heavily relies on video, you would need a more specialized calculation or to factor video sizes into your "Average Page Weight" estimate if they are embedded directly.

Q4: What is the difference between initial weight and optimized weight?

The initial weight is the raw, uncompressed, and unminified size of all your website's assets. The optimized weight is the estimated size after applying common web performance techniques like image compression, code minification, and server-side compression (Gzip/Brotli). The difference highlights the potential gains from optimization.

Q5: How often should I recalculate my website's weight?

It's advisable to recalculate your website's weight periodically, especially after making significant changes to your site's design, adding new features, or updating content. Regular performance audits are part of good website maintenance.

Q6: Can optimizing my site weight improve my SEO?

Absolutely. Website speed is a confirmed ranking factor for Google. Faster loading times improve user experience, reduce bounce rates, and increase the likelihood of users engaging with your content, all of which positively impact your SEO efforts.

Q7: Are there risks to aggressive optimization?

While generally beneficial, overly aggressive optimization, especially for images (reducing quality too much) or scripts (removing essential functionality), can sometimes degrade the user experience or break site functionality. It's important to find a balance and thoroughly test after making changes.

Q8: How does server-side compression (Gzip/Brotli) work?

Gzip and Brotli are compression algorithms that work on the server. When a user requests a file (like HTML, CSS, or JS), the server compresses it before sending it over the network. The user's browser then decompresses it. This significantly reduces the amount of data transferred, leading to faster downloads, especially for text-based assets. Modern web servers support both, with Brotli often offering even better compression ratios.

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var canvas = document.getElementById("weightChart"); var ctx = canvas.getContext("2d"); var weightChartInstance = null; function validateInput(id, min, max, errorMessageId) { var input = document.getElementById(id); var value = parseFloat(input.value); var errorDiv = document.getElementById(errorMessageId); errorDiv.textContent = ""; if (isNaN(value)) { errorDiv.textContent = "Please enter a valid number."; return false; } if (min !== null && value max) { errorDiv.textContent = "Value cannot be greater than " + max + "."; return false; } return true; } function updateChart(initialTotalWeightMB, optimizedTotalWeightMB) { if (weightChartInstance) { weightChartInstance.destroy(); } var imageWeight = calculateIntermediateValues().estimatedImageWeight; var scriptWeight = calculateIntermediateValues().estimatedScriptWeight; var remainingWeight = calculateIntermediateValues().totalOptimizedWeight – imageWeight – scriptWeight; var data = { labels: ["Initial Total Weight", "Optimized Total Weight", "Images (Optimized)", "Scripts/CSS (Optimized)", "Other (Optimized)"], datasets: [{ label: 'Weight (MB)', data: [ initialTotalWeightMB, optimizedTotalWeightMB, imageWeight, scriptWeight, remainingWeight > 0 ? remainingWeight : 0 // Ensure non-negative ], backgroundColor: [ 'rgba(255, 99, 132, 0.6)', // Initial Total 'rgba(54, 162, 235, 0.6)', // Optimized Total 'rgba(255, 206, 86, 0.6)', // Images 'rgba(75, 192, 192, 0.6)', // Scripts/CSS 'rgba(153, 102, 255, 0.6)' // Other ], 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, type: 'bar', // Use bar chart for comparison order: 2 // Render optimized series on top of initial }] }; var options = { responsive: true, maintainAspectRatio: false, scales: { y: { beginAtZero: true, title: { display: true, text: 'Weight (MB)' } } }, plugins: { legend: { position: 'top', }, title: { display: true, text: 'Website Weight Comparison: Initial vs. Optimized' } } }; // Destroy previous chart if it exists if (window.weightChartInstance) { window.weightChartInstance.destroy(); } // Check if Chart is available globally (e.g., if loaded via CDN) // Since we are using pure canvas, we don't rely on Chart.js // We will use a simpler visualization if Chart.js is not available or preferred not to use. // For this specific request, we'll use pure canvas rendering. // Clear canvas ctx.clearRect(0, 0, canvas.width, canvas.height); // Draw bars var barWidth = (canvas.width * 0.8) / data.labels.length * 0.6; // Make bars narrower var totalInitialWeightForScale = initialTotalWeightMB; var maxWeight = Math.max(initialTotalWeightMB, optimizedTotalWeightMB, imageWeight, scriptWeight, remainingWeight); var scaleFactor = canvas.height * 0.9 / maxWeight; // Scale to fit most of the canvas height var barPadding = (canvas.width * 0.8) / data.labels.length * 0.2; // Padding between bars var xOffset = canvas.width * 0.1; // Start drawing from 10% of canvas width // Draw labels below bars ctx.fillStyle = "#333"; ctx.font = "12px Segoe UI"; data.labels.forEach(function(label, index) { ctx.textAlign = "center"; ctx.fillText(label, xOffset + (barWidth + barPadding) * index + barWidth / 2, canvas.height – 10); }); // Draw bars data.datasets[0].data.forEach(function(value, index) { var barHeight = value * scaleFactor; var barX = xOffset + (barWidth + barPadding) * index; var barY = canvas.height – 30 – barHeight; // 30px for labels ctx.fillStyle = data.datasets[0].backgroundColor[index]; ctx.fillRect(barX, barY, barWidth, barHeight); // Draw value on top of bar ctx.fillStyle = "#000"; ctx.font = "10px Segoe UI"; ctx.fillText(value.toFixed(1) + " MB", barX + barWidth / 2, barY – 5); }); // Draw Y-axis scale (simplified) ctx.beginPath(); ctx.moveTo(xOffset, canvas.height – 30); ctx.lineTo(xOffset, 10); ctx.strokeStyle = "#ccc"; ctx.stroke(); // Draw horizontal grid lines (simplified) var numGridLines = 5; for (var i = 0; i < numGridLines; i++) { var yPos = canvas.height – 30 – (canvas.height – 40) * (i / numGridLines); ctx.beginPath(); ctx.moveTo(xOffset, yPos); ctx.lineTo(xOffset + data.labels.length * (barWidth + barPadding), yPos); ctx.strokeStyle = "#eee"; ctx.stroke(); ctx.fillStyle = "#666"; ctx.textAlign = "right"; ctx.font = "10px Segoe UI"; ctx.fillText((maxWeight * (1 – i / numGridLines)).toFixed(1) + " MB", xOffset – 5, yPos); } // Add legend manually var legendX = canvas.width * 0.1; var legendY = 20; var legendItemWidth = 120; var legendItemHeight = 20; data.labels.forEach(function(label, index) { var col = index % 3; var row = Math.floor(index / 3); var currentX = legendX + col * legendItemWidth; var currentY = legendY + row * legendItemHeight; ctx.fillStyle = data.datasets[0].backgroundColor[index]; ctx.fillRect(currentX, currentY, 15, 15); ctx.fillStyle = "#333"; ctx.font = "12px Segoe UI"; ctx.textAlign = "left"; ctx.fillText(label, currentX + 20, currentY + 12); }); } function calculateIntermediateValues() { var numPages = parseFloat(document.getElementById("numPages").value); var avgPageWeightKb = parseFloat(document.getElementById("avgPageWeightKb").value); var imageCompressionRatio = parseFloat(document.getElementById("imageCompressionRatio").value); var scriptMinificationRatio = parseFloat(document.getElementById("scriptMinificationRatio").value); var gzipRatio = parseFloat(document.getElementById("gzipRatio").value); var totalInitialWeightKb = numPages * avgPageWeightKb; var totalInitialWeightMb = totalInitialWeightKb / 1024; // Simplified calculation: estimate contribution and apply ratios // Assume roughly 50% images, 30% scripts/css, 20% other initially var estimatedImageWeightKb = totalInitialWeightKb * 0.50; var estimatedScriptWeightKb = totalInitialWeightKb * 0.30; var estimatedOtherWeightKb = totalInitialWeightKb * 0.20; var optimizedImageWeightKb = estimatedImageWeightKb * imageCompressionRatio; var optimizedScriptWeightKb = estimatedScriptWeightKb * scriptMinificationRatio; var optimizedOtherWeightKb = estimatedOtherWeightKb; // Assuming 'other' isn't directly affected by image/script ratios // Apply Gzip/Brotli to the sum of optimized components var totalOptimizedWeightKbBeforeGzip = optimizedImageWeightKb + optimizedScriptWeightKb + optimizedOtherWeightKb; var totalOptimizedWeightKb = totalOptimizedWeightKbBeforeGzip * gzipRatio; var totalOptimizedWeightMb = totalOptimizedWeightKb / 1024; // Recalculate components for chart and table based on final optimized weight and ratios var finalImageWeightMb = (totalInitialWeightKb * 0.50 * imageCompressionRatio) / 1024; var finalScriptWeightMb = (totalInitialWeightKb * 0.30 * scriptMinificationRatio) / 1024; var finalOtherWeightMb = (totalInitialWeightKb * 0.20) / 1024; // Base other weight // Adjust if total optimized is less than sum of components due to gzip/brotli var finalTotalOptimizedWeightMb = totalOptimizedWeightMb; var adjustedImageWeight = finalImageWeightMb; var adjustedScriptWeight = finalScriptWeightMb; var adjustedOtherWeight = finalOtherWeightMb; // Distribute the gzip compression effect proportionally or recalculate based on total optimized // A simpler approach is to show the estimated contributions *after* compression. // However, for the chart, it's often better to show the breakdown of what *makes up* the optimized size. // Let's refine: var initialImageKb = totalInitialWeightKb * 0.5; var initialScriptKb = totalInitialWeightKb * 0.3; var initialOtherKb = totalInitialWeightKb * 0.2; var optimizedImageKb = initialImageKb * imageCompressionRatio; var optimizedScriptKb = initialScriptKb * scriptMinificationRatio; var optimizedOtherKb = initialOtherKb; // Assuming 'other' doesn't compress var totalOptimizedKbPreGzip = optimizedImageKb + optimizedScriptKb + optimizedOtherKb; var finalTotalOptimizedKb = totalOptimizedKbPreGzip * gzipRatio; return { totalInitialWeightKb: totalInitialWeightKb, totalOptimizedWeightKb: finalTotalOptimizedKb, estimatedImageWeightKb: optimizedImageKb, estimatedScriptWeightKb: optimizedScriptWeightKb, estimatedOtherWeightKb: optimizedOtherKb }; } function formatBytes(bytes, decimals = 2) { if (bytes === 0) return '0 MB'; var k = 1024; var dm = decimals < 0 ? 0 : decimals; var sizes = ['Bytes', 'KB', 'MB', 'GB', 'TB']; var i = Math.floor(Math.log(bytes) / Math.log(k)); return parseFloat((bytes / Math.pow(k, i)).toFixed(dm)) + ' ' + sizes[i]; } function calculateSiteWeight() { var error = false; if (!validateInput("numPages", 1, null, "numPagesError")) error = true; if (!validateInput("avgPageWeightKb", 10, null, "avgPageWeightKbError")) error = true; if (error) { document.getElementById("primary-result").textContent = "Error"; document.getElementById("totalInitialWeight").textContent = "Total Initial Weight: –"; document.getElementById("estimatedImageWeight").textContent = "Estimated Image Weight: –"; document.getElementById("estimatedScriptWeight").textContent = "Estimated Script/CSS Weight: –"; document.getElementById("totalOptimizedWeight").textContent = "Total Optimized Weight: –"; updateChart(0, 0); // Clear chart on error return; } var intermediate = calculateIntermediateValues(); var totalInitialWeightMb = intermediate.totalInitialWeightKb / 1024; var totalOptimizedWeightMb = intermediate.totalOptimizedWeightKb / 1024; var estimatedImageWeightMb = intermediate.estimatedImageWeightKb / 1024; var estimatedScriptWeightMb = intermediate.estimatedScriptWeightKb / 1024; document.getElementById("primary-result").textContent = formatBytes(intermediate.totalOptimizedWeightKb, 2); document.getElementById("totalInitialWeight").textContent = "Total Initial Weight: " + formatBytes(intermediate.totalInitialWeightKb, 2); document.getElementById("estimatedImageWeight").textContent = "Estimated Image Weight: " + formatBytes(intermediate.estimatedImageWeightKb, 2); document.getElementById("estimatedScriptWeight").textContent = "Estimated Script/CSS Weight: " + formatBytes(intermediate.estimatedScriptWeightKb, 2); document.getElementById("totalOptimizedWeight").textContent = "Total Optimized Weight: " + formatBytes(intermediate.totalOptimizedWeightKb, 2); // Update table document.getElementById("assumpNumPages").textContent = document.getElementById("numPages").value; document.getElementById("assumpAvgPageWeightKb").textContent = document.getElementById("avgPageWeightKb").value; document.getElementById("assumpImageCompression").textContent = (1 – parseFloat(document.getElementById("imageCompressionRatio").value)) * 100; document.getElementById("assumpScriptMinification").textContent = (1 – parseFloat(document.getElementById("scriptMinificationRatio").value)) * 100; document.getElementById("assumpGzip").textContent = (1 – parseFloat(document.getElementById("gzipRatio").value)) * 100; document.getElementById("assumpTotalInitialWeight").textContent = formatBytes(intermediate.totalInitialWeightKb, 2); document.getElementById("assumpOptimizedWeight").textContent = formatBytes(intermediate.totalOptimizedWeightKb, 2); updateChart(totalInitialWeightMb, totalOptimizedWeightMb); } function resetForm() { document.getElementById("numPages").value = "100"; document.getElementById("avgPageWeightKb").value = "1500"; document.getElementById("imageCompressionRatio").value = "0.7"; document.getElementById("scriptMinificationRatio").value = "0.6"; document.getElementById("gzipRatio").value = "0.3"; // Clear error messages document.getElementById("numPagesError").textContent = ""; document.getElementById("avgPageWeightKbError").textContent = ""; document.getElementById("imageCompressionRatioError").textContent = ""; document.getElementById("scriptMinificationRatioError").textContent = ""; document.getElementById("gzipRatioError").textContent = ""; calculateSiteWeight(); // Recalculate with defaults } function copyResults() { var primaryResult = document.getElementById("primary-result").textContent; var initialWeight = document.getElementById("totalInitialWeight").textContent; var imageWeight = document.getElementById("estimatedImageWeight").textContent; var scriptWeight = document.getElementById("estimatedScriptWeight").textContent; var totalOptimized = document.getElementById("totalOptimizedWeight").textContent; var assumptions = "Key Assumptions:\n"; assumptions += "- Number of Pages: " + document.getElementById("assumpNumPages").textContent + "\n"; assumptions += "- Average Initial Page Weight: " + document.getElementById("assumpAvgPageWeightKb").textContent + " KB\n"; assumptions += "- Image Compression Reduction: " + document.getElementById("assumpImageCompression").textContent + "%\n"; assumptions += "- Script/CSS Minification Reduction: " + document.getElementById("assumpScriptMinification").textContent + "%\n"; assumptions += "- Gzip/Brotli Compression Reduction: " + document.getElementById("assumpGzip").textContent + "%\n"; assumptions += "- Total Initial Website Weight: " + document.getElementById("assumpTotalInitialWeight").textContent + "\n"; assumptions += "- Estimated Optimized Website Weight: " + document.getElementById("assumpOptimizedWeight").textContent + "\n"; var textToCopy = "— Website Weight Calculation Results —\n\n"; textToCopy += "Primary Optimized Weight: " + primaryResult + "\n"; textToCopy += initialWeight + "\n"; textToCopy += imageWeight + "\n"; textToCopy += scriptWeight + "\n"; textToCopy += totalOptimized + "\n\n"; textToCopy += assumptions; navigator.clipboard.writeText(textToCopy).then(function() { alert("Results copied to clipboard!"); }, function(err) { console.error('Could not copy text: ', err); alert("Failed to copy results. Please copy manually."); }); } // Initial calculation on page load window.onload = function() { calculateSiteWeight(); };

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