Calculate Deviation Weight Tga

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Calculate Deviation Weight TGA

Deviation Weight TGA Calculator

The starting point or baseline value.
The ending point or observed value.
A benchmark or target value for comparison.
A factor (0 to 1) determining the influence of the deviation.

Results

Absolute Deviation (Vf – V₀):
Relative Deviation ((Vf – V₀) / V₀):
Weighted Deviation (w * (Vf – V₀)):
Deviation from Reference (Vf – Vref):
Deviation Weight TGA = (Vf – Vref) + w * (Vf – V₀)

Deviation Analysis Chart

Initial Value (V₀)
Final Value (Vf)
Reference Value (Vref)
Deviation Weight TGA
Deviation Weight TGA Calculation Components
Variable Meaning Unit Typical Range
V₀ Initial Value Unitless or Specific Unit Varies
Vf Final Value Unitless or Specific Unit Varies
Vref Reference Value Unitless or Specific Unit Varies
w Weighting Factor Unitless (0 to 1) 0 to 1
Absolute Deviation Difference between Final and Initial Values Same as V₀/Vf Varies
Relative Deviation Absolute Deviation as a proportion of Initial Value Percentage (%) Varies
Weighted Deviation Absolute Deviation scaled by Weighting Factor Same as V₀/Vf Varies
Deviation from Reference Difference between Final and Reference Values Same as V₀/Vf Varies
Deviation Weight TGA Combined metric considering deviation from reference and weighted deviation from initial Same as V₀/Vf Varies

What is Deviation Weight TGA?

Deviation Weight TGA is a composite metric designed to quantify the overall deviation of a final value from a reference point, while also incorporating the weighted deviation from an initial or baseline value. It's particularly useful in scenarios where you need to understand not just how far a result has moved from a target (reference value), but also how that movement relates to its starting point, with a specific emphasis on the magnitude of the change itself, modulated by a weighting factor. This metric helps in analyzing performance, risk, or change over time by providing a nuanced perspective that balances absolute shifts against relative changes and predefined benchmarks.

Who should use it: This metric is valuable for financial analysts, performance managers, quality control specialists, researchers, and anyone involved in tracking and evaluating changes in data points that have both a starting point and a target. It can be applied in fields such as finance (e.g., portfolio performance against a benchmark and initial investment), manufacturing (e.g., product quality against specifications and initial production runs), scientific research (e.g., experimental results against control groups and expected outcomes), and project management (e.g., budget or schedule adherence against targets and initial plans).

Common misconceptions: A common misconception is that Deviation Weight TGA is simply a measure of error or a single deviation. In reality, it's a synthesized metric that combines multiple aspects of deviation. Another misconception is that the weighting factor (w) is arbitrary; it's a crucial parameter that reflects the specific importance assigned to the initial-to-final deviation relative to the final-to-reference deviation. It's not a direct measure of volatility but rather a specific calculation of weighted deviation.

Deviation Weight TGA Formula and Mathematical Explanation

The calculation of Deviation Weight TGA involves several steps, combining absolute and relative deviations with a weighting factor and a reference point.

The core formula is:

Deviation Weight TGA = (Vf – Vref) + w * (Vf – V₀)

Let's break down the components:

  • V₀ (Initial Value): This is the starting point or baseline value from which a process or measurement begins. It represents the status quo before any change is observed.
  • Vf (Final Value): This is the observed value at the end of a period or after a process has occurred. It's the outcome being measured.
  • Vref (Reference Value): This is a benchmark, target, or expected value against which the final outcome (Vf) is primarily compared. It represents the desired or standard state.
  • w (Weighting Factor): This is a dimensionless coefficient, typically ranging from 0 to 1, that determines the influence of the deviation between the final and initial values (Vf – V₀) on the overall Deviation Weight TGA. A higher 'w' gives more importance to the initial-to-final change.
  • Absolute Deviation (Vf – V₀): The simple difference between the final and initial values. This shows the raw magnitude of change.
  • Relative Deviation ((Vf – V₀) / V₀): The absolute deviation expressed as a percentage of the initial value. This normalizes the change, making it comparable across different scales. (Note: This is calculated internally for understanding but not directly in the final TGA formula).
  • Weighted Deviation (w * (Vf – V₀)): The absolute deviation adjusted by the weighting factor 'w'. This component captures the significance of the change from the starting point, scaled by its importance.
  • Deviation from Reference (Vf – Vref): The difference between the final value and the reference or target value. This is a direct measure of how far the outcome is from the goal.

The formula combines the direct deviation from the reference (Vf – Vref) with the weighted deviation from the initial value (w * (Vf – V₀)). This provides a comprehensive view: a positive result indicates the final value is above the reference point and/or the initial-to-final change is significant relative to its weight. A negative result suggests the opposite.

Variables Table

Variable Meaning Unit Typical Range
V₀ Initial Value Unitless or Specific Unit Varies
Vf Final Value Unitless or Specific Unit Varies
Vref Reference Value Unitless or Specific Unit Varies
w Weighting Factor Unitless (0 to 1) 0 to 1
Absolute Deviation Difference between Final and Initial Values Same as V₀/Vf Varies
Relative Deviation Absolute Deviation as a proportion of Initial Value Percentage (%) Varies
Weighted Deviation Absolute Deviation scaled by Weighting Factor Same as V₀/Vf Varies
Deviation from Reference Difference between Final and Reference Values Same as V₀/Vf Varies
Deviation Weight TGA Combined metric considering deviation from reference and weighted deviation from initial Same as V₀/Vf Varies

Practical Examples (Real-World Use Cases)

Example 1: Investment Portfolio Performance

An investment fund aims to track the performance of a benchmark index.

  • Initial Value (V₀): $10,000 (Initial investment amount)
  • Final Value (Vf): $11,500 (Portfolio value after one year)
  • Reference Value (Vref): $11,200 (Value of the benchmark index after one year)
  • Weighting Factor (w): 0.6 (The fund manager places 60% importance on the deviation from the initial investment relative to the deviation from the benchmark)

Calculation:

  • Absolute Deviation = $11,500 – $10,000 = $1,500
  • Weighted Deviation = 0.6 * $1,500 = $900
  • Deviation from Reference = $11,500 – $11,200 = $300
  • Deviation Weight TGA = $300 + $900 = $1,200

Interpretation: The portfolio has outperformed the benchmark by $300. However, considering the initial investment and the weighting factor, the overall "deviation weight TGA" is $1,200. This indicates that while the fund beat the index, the growth from its starting point, weighted by the manager's preference, is also a significant positive factor. A higher TGA suggests strong performance relative to both the benchmark and the initial capital, adjusted by the specified weighting.

Example 2: Manufacturing Quality Control

A manufacturer produces a component with a target dimension.

  • Initial Value (V₀): 50.0 mm (Average dimension of the first batch)
  • Final Value (Vf): 50.5 mm (Average dimension of the latest batch)
  • Reference Value (Vref): 50.2 mm (The specified target dimension)
  • Weighting Factor (w): 0.3 (The quality team prioritizes deviation from the target (50.2mm) more than the change from the initial batch, assigning only 30% weight to the initial-to-final change)

Calculation:

  • Absolute Deviation = 50.5 mm – 50.0 mm = 0.5 mm
  • Weighted Deviation = 0.3 * 0.5 mm = 0.15 mm
  • Deviation from Reference = 50.5 mm – 50.2 mm = 0.3 mm
  • Deviation Weight TGA = 0.3 mm + 0.15 mm = 0.45 mm

Interpretation: The latest batch dimensions (50.5 mm) are above the target (50.2 mm) by 0.3 mm. The change from the initial batch (50.0 mm) is 0.5 mm. With a weighting factor of 0.3, the weighted deviation from the initial value is 0.15 mm. The combined Deviation Weight TGA of 0.45 mm indicates that the component dimensions are deviating positively from the target, and this deviation is influenced by the increase from the initial production run. A positive TGA here signals a trend towards larger dimensions, which might require investigation to ensure it stays within acceptable tolerances.

How to Use This Deviation Weight TGA Calculator

Our Deviation Weight TGA calculator is designed for simplicity and clarity, allowing you to quickly assess complex deviations.

  1. Input Values:
    • Enter the Initial Value (V₀): This is your starting point or baseline.
    • Enter the Final Value (Vf): This is your observed outcome or current value.
    • Enter the Reference Value (Vref): This is your target, benchmark, or desired value.
    • Enter the Weighting Factor (w): This number should be between 0 and 1. It determines how much importance you give to the change from V₀ compared to the deviation from Vref. A value of 1 means the initial-to-final change is as important as the deviation from reference; a value of 0 means only the deviation from reference matters.
  2. Calculate: Click the "Calculate" button. The calculator will instantly process your inputs.
  3. Review Results:
    • Main Result (Deviation Weight TGA): This is the primary highlighted number, representing the combined deviation metric.
    • Intermediate Values: You'll see the Absolute Deviation, Relative Deviation, Weighted Deviation, and Deviation from Reference. These provide a breakdown of the calculation.
    • Formula Explanation: A clear statement of the formula used.
    • Chart: A visual representation of the key values, helping you grasp the relationships.
    • Table: A summary of the variables used in the calculation.
  4. Interpret:
    • A positive Deviation Weight TGA generally indicates that the final value is performing favorably relative to the reference, considering the weighted change from the initial value.
    • A negative Deviation Weight TGA suggests the final value is underperforming relative to the reference, or the change from the initial value is significantly negative and weighted heavily.
    • The magnitude of the TGA indicates the strength of the deviation.
  5. Decision Making: Use the results to inform decisions. For example, if the TGA is consistently positive and increasing, it might signal a successful trend. If it's negative or decreasing, it could indicate a need for intervention or further analysis.
  6. Reset: Click "Reset" to clear all fields and return to default values.
  7. Copy Results: Click "Copy Results" to copy the main result, intermediate values, and key assumptions to your clipboard for use elsewhere.

Key Factors That Affect Deviation Weight TGA Results

Several factors can significantly influence the calculated Deviation Weight TGA, impacting its interpretation and the decisions derived from it. Understanding these factors is crucial for accurate analysis.

  • Magnitude of Initial vs. Final Values (V₀ vs. Vf): A large difference between the initial and final values will inherently lead to a larger absolute deviation, which, when weighted, can substantially impact the TGA. This is particularly true if the weighting factor 'w' is high.
  • Proximity to Reference Value (Vref): The closer Vf is to Vref, the smaller the 'Deviation from Reference' component. Conversely, being far from the reference point will increase this component, potentially dominating the TGA if 'w' is low.
  • The Weighting Factor (w): This is perhaps the most critical adjustable parameter. A 'w' close to 1 emphasizes the change from the initial state, making the TGA highly sensitive to V₀ and Vf. A 'w' close to 0 makes the TGA primarily a measure of deviation from the reference value, downplaying the initial-to-final change. Choosing an appropriate 'w' depends entirely on the specific analytical goals.
  • Scale and Units: While the TGA formula itself is unit-agnostic (as long as all values share the same units), the interpretation can change based on the scale. A deviation of 10 units might be significant for a process measured in millimeters but negligible for one measured in kilometers. Relative deviation helps normalize this, but the absolute components of TGA are sensitive to the unit's magnitude.
  • Volatility or Variability: If the underlying process or data is highly volatile, Vf can fluctuate significantly. This means the TGA calculated at different points in time might show considerable variation, reflecting the inherent instability rather than a consistent trend.
  • External Factors and Context: The meaning of a specific TGA value is heavily dependent on the context. For instance, a positive TGA in a growth market might be expected, while the same positive TGA in a declining market could signal exceptional performance. Unforeseen events, market shifts, or changes in operational processes can all influence the values and thus the TGA.
  • Inflation and Purchasing Power (if applicable): In financial contexts, if the values represent monetary amounts over time, inflation can erode purchasing power. A positive TGA might be less impressive if inflation has significantly devalued the currency. Real vs. nominal values should be considered.
  • Fees and Taxes (if applicable): In financial calculations, transaction fees, management charges, or taxes can reduce the final value (Vf) or impact the net gain. These costs effectively alter the observed Vf and should be accounted for when setting up the inputs for an accurate TGA.

Frequently Asked Questions (FAQ)

Q1: What does a positive Deviation Weight TGA mean?
A positive TGA generally indicates that the final value is performing favorably relative to the reference value, and/or the change from the initial value is significant and weighted positively. It suggests an upward trend or outperformance, depending on the context.
Q2: What does a negative Deviation Weight TGA mean?
A negative TGA suggests the final value is underperforming relative to the reference value, or the change from the initial value is significantly negative and weighted heavily. It indicates a downward trend or underperformance.
Q3: Can the Deviation Weight TGA be zero?
Yes, the TGA can be zero if the sum of the deviation from the reference and the weighted deviation from the initial value equals zero. This could happen, for example, if Vf equals Vref and the weighted deviation (w * (Vf – V₀)) is also zero (e.g., if Vf = V₀).
Q4: How do I choose the Weighting Factor (w)?
The choice of 'w' is subjective and depends on the analytical objective. If the change from the starting point is critically important, use a higher 'w' (e.g., 0.7-0.9). If the deviation from the target is the primary concern, use a lower 'w' (e.g., 0.1-0.3). A balanced approach might use w=0.5.
Q5: What are the units of Deviation Weight TGA?
The Deviation Weight TGA will have the same units as the initial, final, and reference values (V₀, Vf, Vref). The weighting factor 'w' is unitless.
Q6: Is this metric suitable for all types of data?
It's most suitable for data where there's a clear initial value, a final observed value, and a meaningful reference or target value. It works well for performance metrics, financial tracking, and process monitoring where these elements exist. It might be less applicable to purely random or unstructured data.
Q7: How does this differ from simple percentage change?
Simple percentage change only considers the deviation between the initial and final values relative to the initial value. Deviation Weight TGA is a more complex metric that also incorporates deviation from a separate reference point and allows for adjustable weighting of the initial-to-final change.
Q8: Can I use negative values for V₀, Vf, or Vref?
Yes, the calculator can handle negative values, provided they are numerically valid and make sense within your specific context. The mathematical operations will still apply correctly.
Q9: What if my V₀ is zero?
If V₀ is zero, the 'Relative Deviation' calculation ((Vf – V₀) / V₀) would result in division by zero. Our calculator handles this by not displaying a relative deviation if V₀ is 0, but the main TGA calculation remains valid as it doesn't directly use relative deviation.

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var chartInstance = null; // Global variable to hold chart instance function validateInput(id, errorId, minValue, maxValue) { var input = document.getElementById(id); var errorElement = document.getElementById(errorId); var value = parseFloat(input.value); errorElement.style.display = 'none'; // Hide error by default if (isNaN(value)) { errorElement.textContent = "Please enter a valid number."; errorElement.style.display = 'block'; return false; } if (minValue !== undefined && value maxValue) { errorElement.textContent = "Value cannot be greater than " + maxValue + "."; errorElement.style.display = 'block'; return false; } return true; } function calculateDeviationWeight() { var isValid = true; isValid &= validateInput('initialValue', 'initialValueError'); isValid &= validateInput('finalValue', 'finalValueError'); isValid &= validateInput('referenceValue', 'referenceValueError'); isValid &= validateInput('weightingFactor', 'weightingFactorError', 0, 1); if (!isValid) { document.getElementById('results').style.display = 'none'; return; } var v0 = parseFloat(document.getElementById('initialValue').value); var vf = parseFloat(document.getElementById('finalValue').value); var vref = parseFloat(document.getElementById('referenceValue').value); var w = parseFloat(document.getElementById('weightingFactor').value); var absoluteDeviation = vf – v0; var deviationFromReference = vf – vref; var weightedDeviation = w * absoluteDeviation; var deviationWeightTGA = deviationFromReference + weightedDeviation; // Handle potential NaN for relative deviation if v0 is 0 var relativeDeviationValue = (v0 === 0) ? 'N/A (V₀ is 0)' : ((absoluteDeviation / v0) * 100).toFixed(2) + '%'; document.getElementById('deviationWeightResult').textContent = deviationWeightTGA.toFixed(4); document.getElementById('absoluteDeviation').getElementsByTagName('span')[0].textContent = absoluteDeviation.toFixed(4); document.getElementById('relativeDeviation').getElementsByTagName('span')[0].textContent = relativeDeviationValue; document.getElementById('weightedDeviation').getElementsByTagName('span')[0].textContent = weightedDeviation.toFixed(4); document.getElementById('deviationFromReference').getElementsByTagName('span')[0].textContent = deviationFromReference.toFixed(4); document.getElementById('results').style.display = 'block'; updateChart(v0, vf, vref, deviationWeightTGA); } function resetCalculator() { document.getElementById('initialValue').value = '100'; document.getElementById('finalValue').value = '110'; document.getElementById('referenceValue').value = '105'; document.getElementById('weightingFactor').value = '0.5'; // Clear error messages var errorElements = document.querySelectorAll('.error-message'); for (var i = 0; i < errorElements.length; i++) { errorElements[i].style.display = 'none'; errorElements[i].textContent = ''; } calculateDeviationWeight(); // Recalculate with default values } function copyResults() { var mainResult = document.getElementById('deviationWeightResult').textContent; var absDev = document.getElementById('absoluteDeviation').textContent; var relDev = document.getElementById('relativeDeviation').textContent; var wDev = document.getElementById('weightedDeviation').textContent; var devRef = document.getElementById('deviationFromReference').textContent; var formula = document.querySelector('.formula-explanation').textContent; var initialValue = document.getElementById('initialValue').value; var finalValue = document.getElementById('finalValue').value; var referenceValue = document.getElementById('referenceValue').value; var weightingFactor = document.getElementById('weightingFactor').value; var textToCopy = "— Deviation Weight TGA Results —\n\n"; textToCopy += "Inputs:\n"; textToCopy += " Initial Value (V₀): " + initialValue + "\n"; textToCopy += " Final Value (Vf): " + finalValue + "\n"; textToCopy += " Reference Value (Vref): " + referenceValue + "\n"; textToCopy += " Weighting Factor (w): " + weightingFactor + "\n\n"; textToCopy += "Calculated Values:\n"; textToCopy += " Deviation Weight TGA: " + mainResult + "\n"; textToCopy += " " + absDev.replace(':', ': ') + "\n"; textToCopy += " " + relDev.replace(':', ': ') + "\n"; textToCopy += " " + wDev.replace(':', ': ') + "\n"; textToCopy += " " + devRef.replace(':', ': ') + "\n\n"; textToCopy += "Formula: " + formula; navigator.clipboard.writeText(textToCopy).then(function() { alert('Results copied to clipboard!'); }).catch(function(err) { console.error('Failed to copy: ', err); alert('Failed to copy results. Please copy manually.'); }); } function updateChart(v0, vf, vref, tga) { var ctx = document.getElementById('deviationChart').getContext('2d'); // Destroy previous chart instance if it exists if (chartInstance) { chartInstance.destroy(); } // Prepare data points for the chart // We'll represent these as points on a conceptual timeline or scale var labels = ['Initial', 'Reference', 'Final', 'TGA']; var dataPoints = [ { x: 0, y: v0, label: 'V₀' }, { x: 1, y: vref, label: 'Vref' }, { x: 2, y: vf, label: 'Vf' }, { x: 3, y: tga, label: 'TGA' } ]; // Create datasets for different series var datasets = [ { label: 'Initial Value (V₀)', data: [{x: 0, y: v0}], borderColor: '#004a99', backgroundColor: '#004a99', fill: false, pointRadius: 6, pointHoverRadius: 8, tension: 0.1 // slight curve }, { label: 'Reference Value (Vref)', data: [{x: 1, y: vref}], borderColor: '#ffc107', backgroundColor: '#ffc107', fill: false, pointRadius: 6, pointHoverRadius: 8, tension: 0.1 }, { label: 'Final Value (Vf)', data: [{x: 2, y: vf}], borderColor: '#28a745', backgroundColor: '#28a745', fill: false, pointRadius: 6, pointHoverRadius: 8, tension: 0.1 }, { label: 'Deviation Weight TGA', data: [{x: 3, y: tga}], borderColor: '#dc3545', backgroundColor: '#dc3545', fill: false, pointRadius: 6, pointHoverRadius: 8, tension: 0.1 } ]; // Add lines to show relationships // Line from V0 to Vf datasets.push({ label: 'Initial to Final Change', data: [{x: 0, y: v0}, {x: 2, y: vf}], borderColor: '#6c757d', backgroundColor: '#6c757d', fill: false, borderDash: [5, 5], // Dashed line pointRadius: 0 // No points for this line }); // Line from Vref to Vf (deviation from reference) datasets.push({ label: 'Reference to Final Deviation', data: [{x: 1, y: vref}, {x: 2, y: vf}], borderColor: '#17a2b8', backgroundColor: '#17a2b8', fill: false, borderDash: [2, 2], // Dotted line pointRadius: 0 }); chartInstance = new Chart(ctx, { type: 'scatter', // Use scatter to plot points freely data: { datasets: datasets }, options: { responsive: true, maintainAspectRatio: false, scales: { x: { type: 'category', // Treat x-axis as categories labels: ['Initial', 'Reference', 'Final', 'TGA'], title: { display: true, text: 'Metric Point' } }, y: { title: { display: true, text: 'Value' }, beginAtZero: false // Adjust based on data range } }, plugins: { title: { display: true, text: 'Deviation Analysis Visualization' }, tooltip: { callbacks: { label: function(context) { var label = context.dataset.label || "; if (label) { label += ': '; } if (context.parsed.y !== null) { label += context.parsed.y.toFixed(4); } return label; } } } } } }); } // Initial calculation on page load document.addEventListener('DOMContentLoaded', function() { calculateDeviationWeight(); // Ensure results div is visible after initial calculation if inputs are valid if (document.getElementById('initialValue').value && document.getElementById('finalValue').value && document.getElementById('referenceValue').value && document.getElementById('weightingFactor').value) { document.getElementById('results').style.display = 'block'; } else { document.getElementById('results').style.display = 'none'; } }); // Add a placeholder for Chart.js if it's not loaded externally // In a real-world scenario, you'd include Chart.js via a CDN or local file if (typeof Chart === 'undefined') { console.warn("Chart.js not found. Please include Chart.js library."); // Basic placeholder to prevent errors if Chart.js is missing var Chart = function() { this.destroy = function() {}; }; }

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