Calculator with Abc Button

Calculator with ABC Button – Advanced Analysis :root { –primary-color: #004a99; –success-color: #28a745; –background-color: #f8f9fa; –text-color: #333; –border-color: #ddd; –shadow-color: rgba(0, 0, 0, 0.1); –result-bg-color: #e9ecef; } body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; background-color: var(–background-color); color: var(–text-color); line-height: 1.6; margin: 0; padding: 0; display: flex; flex-direction: column; align-items: center; padding-bottom: 50px; } .container { width: 95%; max-width: 1000px; margin: 20px auto; background-color: #fff; padding: 30px; border-radius: 8px; box-shadow: 0 4px 15px var(–shadow-color); display: flex; flex-direction: column; align-items: center; } h1, h2, h3 { color: var(–primary-color); text-align: center; } h1 { font-size: 2.5em; margin-bottom: 15px; } h2 { font-size: 2em; margin-top: 40px; margin-bottom: 20px; border-bottom: 2px solid var(–primary-color); padding-bottom: 10px; } h3 { font-size: 1.5em; margin-top: 30px; 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/* Initially hidden */ flex-direction: column; align-items: center; } #results h3 { color: var(–primary-color); margin-top: 0; margin-bottom: 20px; } .result-item { width: 100%; margin-bottom: 15px; display: flex; justify-content: space-between; align-items: center; padding: 10px; border-bottom: 1px dashed var(–border-color); } .result-item:last-child { border-bottom: none; } .result-label { font-weight: bold; color: var(–text-color); } .result-value { font-weight: bold; color: var(–primary-color); font-size: 1.1em; } .primary-result { background-color: var(–primary-color); color: white; padding: 15px 20px; border-radius: 5px; font-size: 1.6em; font-weight: bold; margin-bottom: 20px; width: auto; /* Adjust width */ text-align: center; box-shadow: 0 2px 8px rgba(0, 0, 0, 0.2); } .formula-explanation { font-size: 0.9em; color: #555; margin-top: 20px; text-align: center; border-top: 1px solid var(–border-color); padding-top: 15px; } #chartContainer { width: 100%; max-width: 700px; margin-top: 30px; 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padding: 0; } .internal-links-list li { margin-bottom: 15px; background-color: var(–background-color); padding: 15px; border-radius: 5px; border-left: 4px solid var(–primary-color); } .internal-links-list a { font-weight: bold; font-size: 1.1em; } .internal-links-list p { margin-top: 5px; margin-bottom: 0; font-size: 0.9em; color: #666; } @media (max-width: 768px) { .container { padding: 20px; } h1 { font-size: 2em; } h2 { font-size: 1.6em; } .btn { min-width: 120px; padding: 10px 20px; } .primary-result { font-size: 1.4em; } .article-content { padding: 20px; } } @media (max-width: 480px) { .buttons-container { flex-direction: column; align-items: center; } .btn { width: 100%; max-width: 250px; } .result-item { flex-direction: column; align-items: center; text-align: center; } .result-label, .result-value { margin-bottom: 5px; } .result-value { font-size: 1em; } }

Calculator with ABC Button

An essential tool for analyzing and projecting outcomes based on the unique ABC model.

Enter the numerical value for component A.
Enter the multiplier for component B. Must be greater than 0.
Enter the offset value for component C.
How many times to apply the ABC logic. Minimum 1.

Calculation Results

Total Value Accumulated
Average Component Contribution
Final Component C Adjustment
The ABC Button logic iteratively applies a calculation: New Value = (Previous Value * Component B Multiplier) + Component C Offset. This process is repeated for the specified number of iterations, starting with Component A's value.
Visualizing the progression of the total accumulated value over each iteration.
Iteration Starting Value Applied Logic (B*Val + C) Ending Value
Enter inputs and click Calculate.

What is the Calculator with ABC Button?

The Calculator with ABC Button is a specialized financial and analytical tool designed to model processes or project values that are influenced by three distinct factors, termed Component A, Component B, and Component C. This calculator is not tied to traditional financial instruments like loans or mortgages but instead provides a flexible framework for understanding iterative growth, decay, or modification based on a set of user-defined parameters. It's particularly useful for scenarios where an initial value (Component A) is subjected to a multiplicative factor (Component B) and an additive/subtractive offset (Component C) over a defined number of steps or iterations.

Who should use it? This calculator is ideal for project managers tracking phased development, financial analysts modeling simple financial instruments with specific growth and adjustment rules, game developers calculating progression, or anyone needing to understand the cumulative effect of a repeated, dynamic adjustment process. If your problem can be broken down into an initial state, a proportional change, and a fixed adjustment, this tool can offer valuable insights into the long-term outcome. It's a core element in understanding iterative financial models and many analytical projections.

Common misconceptions often revolve around its applicability. Some might assume it's solely for finance, overlooking its broader analytical uses. Others may underestimate the impact of the multiplier (Component B) and offset (Component C) on the final outcome, especially over many iterations. It's crucial to remember that the multiplier's effect can be exponential, dramatically altering the trajectory compared to a simple additive process. Understanding the synergy between these components is key to accurate analysis using the calculator with ABC button.

Calculator with ABC Button Formula and Mathematical Explanation

The core of the Calculator with ABC Button lies in its iterative formula. It models a sequence where each step's outcome depends on the previous step's result, modified by fixed parameters. The process begins with an initial value, which is then transformed through a defined number of cycles.

Let $V_n$ be the value at iteration $n$. Let $A$ be the initial value (Component A). Let $B$ be the multiplier (Component B). Let $C$ be the offset (Component C). Let $N$ be the total number of iterations.

The formula for calculating the value at the next iteration ($V_{n+1}$) based on the current value ($V_n$) is:

$V_{n+1} = (V_n \times B) + C$

The process starts with $V_0 = A$. Each subsequent value is calculated by substituting the result of the previous step into the formula. The total number of iterations ($N$) dictates how many times this transformation is applied.

Step-by-step derivation:

  • Iteration 0: The starting value is Component A. $V_0 = A$.
  • Iteration 1: The value is calculated using the formula: $V_1 = (V_0 \times B) + C = (A \times B) + C$.
  • Iteration 2: The value is calculated using the previous result: $V_2 = (V_1 \times B) + C = ((A \times B) + C) \times B + C = A \times B^2 + C \times B + C$.
  • Iteration 3: $V_3 = (V_2 \times B) + C = (A \times B^2 + C \times B + C) \times B + C = A \times B^3 + C \times B^2 + C \times B + C$.

This pattern reveals a geometric series component. The total accumulated value after $N$ iterations is $V_N$. The average component contribution is the total accumulated value divided by $N$. The final adjustment from Component C is the value of $C$ applied in the last iteration.

Variable Explanations:

Understanding the variables is key to utilizing the calculator with ABC button effectively.

Variable Meaning Unit Typical Range
Component A (Initial Value) The starting point or base value for the calculation. Currency, Units, Score, etc. Any numerical value (often positive)
Component B (Multiplier) A factor that proportionally scales the current value in each iteration. Ratio (e.g., 1.1 for 10% increase) > 0. Generally positive. Values between 0 and 1 represent decay. Values > 1 represent growth.
Component C (Offset) A fixed amount added or subtracted in each iteration, independent of the current value. Currency, Units, Score, etc. Any numerical value (positive or negative)
Number of Iterations (N) The total number of times the transformation process is applied. Count Integers >= 1
Ending Value ($V_N$) The final value after N iterations. Same as Component A Varies greatly based on inputs
Total Accumulated Value Sum of values at the end of each iteration (or a variation thereof depending on interpretation). Here, it refers to the final $V_N$. Same as Component A Varies greatly
Average Component Contribution The total accumulated value divided by the number of iterations. This represents an average step's impact. Same as Component A Varies greatly
Final Component C Adjustment The value of Component C as it impacts the final result. Same as Component C Value of C

A thorough understanding of these variables allows for precise use of the calculator with ABC button for any analytical need.

Practical Examples (Real-World Use Cases)

The versatility of the Calculator with ABC Button is best illustrated through practical examples.

Example 1: Phased Project Investment Growth

A startup is planning a project that requires phased investment. They start with an initial investment ($A = 100,000$). Each quarter, the existing investment value grows by 5% ($B = 1.05$), and an additional fixed amount of $10,000$ is injected ($C = 10,000$). They want to project the investment value over 4 quarters ($N = 4$).

Inputs:

  • Component A: 100,000
  • Component B: 1.05
  • Component C: 10,000
  • Iterations: 4

Calculation Steps:

  • Iter 0: Value = 100,000
  • Iter 1: Value = (100,000 * 1.05) + 10,000 = 105,000 + 10,000 = 115,000
  • Iter 2: Value = (115,000 * 1.05) + 10,000 = 120,750 + 10,000 = 130,750
  • Iter 3: Value = (130,750 * 1.05) + 10,000 = 137,287.50 + 10,000 = 147,287.50
  • Iter 4: Value = (147,287.50 * 1.05) + 10,000 = 154,651.88 + 10,000 = 164,651.88

Outputs:

  • Primary Result (Final Value): 164,651.88
  • Total Value Accumulated (Final $V_N$): 164,651.88
  • Average Component Contribution: 164,651.88 / 4 = 41,162.97
  • Final Component C Adjustment: 10,000

Financial Interpretation: The initial investment of 100,000, when subjected to a 5% quarterly growth and a consistent 10,000 quarterly injection, grows to over 164,000 in just four quarters. This demonstrates the power of compounding (Component B) amplified by regular additional contributions (Component C). This analysis helps in budgeting and forecasting financial growth trajectories.

Example 2: Resource Depletion Model

A mining operation has an initial reserve of 500,000 tons of ore ($A = 500,000$). Each year, 8% of the remaining ore is extracted ($B = 0.92$ as the multiplier for remaining ore), and an additional fixed amount of 5,000 tons is lost due to inefficiencies ($C = -5,000$). They want to see the reserve after 5 years ($N = 5$).

Inputs:

  • Component A: 500,000
  • Component B: 0.92
  • Component C: -5,000
  • Iterations: 5

Calculation Steps:

  • Iter 0: Value = 500,000
  • Iter 1: Value = (500,000 * 0.92) – 5,000 = 460,000 – 5,000 = 455,000
  • Iter 2: Value = (455,000 * 0.92) – 5,000 = 418,600 – 5,000 = 413,600
  • Iter 3: Value = (413,600 * 0.92) – 5,000 = 380,512 – 5,000 = 375,512
  • Iter 4: Value = (375,512 * 0.92) – 5,000 = 345,471.04 – 5,000 = 340,471.04
  • Iter 5: Value = (340,471.04 * 0.92) – 5,000 = 313,233.36 – 5,000 = 308,233.36

Outputs:

  • Primary Result (Final Reserve): 308,233.36 tons
  • Total Value Accumulated (Final Reserve): 308,233.36 tons
  • Average Component Contribution: 308,233.36 / 5 = 61,646.67 tons
  • Final Component C Adjustment: -5,000 tons

Financial Interpretation: This scenario illustrates resource depletion. The initial reserve of 500,000 tons decreases significantly over 5 years due to extraction and inefficiencies. The multiplier effect of Component B means that the amount extracted each year decreases as the reserve shrinks, but the constant loss from Component C still contributes to the overall reduction. This analysis is vital for long-term operational planning and resource management. Proper use of the calculator with ABC button aids in these critical business decisions.

How to Use This Calculator with ABC Button

Using the Calculator with ABC Button is straightforward. Follow these steps to get accurate projections:

  1. Identify Your Components: First, determine if your scenario fits the ABC model. You need an initial value (Component A), a proportional scaling factor (Component B), and a fixed adjustment (Component C).
  2. Input Component A: Enter the starting numerical value for your calculation in the "Component A Value" field. This could be an initial investment, resource amount, or any base figure.
  3. Input Component B: Enter the multiplier in the "Component B Multiplier" field. If your value increases proportionally, use a number greater than 1 (e.g., 1.1 for a 10% increase). If it decreases proportionally, use a number between 0 and 1 (e.g., 0.95 for a 5% decrease).
  4. Input Component C: Enter the fixed adjustment amount in the "Component C Offset" field. This is a value added or subtracted in each step, regardless of the current value. Use a positive number for additions and a negative number for subtractions.
  5. Set Iterations: Specify the number of times you want the calculation to run in the "Number of Iterations" field. This determines the duration or steps of your projection.
  6. Calculate: Click the "Calculate" button. The calculator will process the inputs using the iterative formula $V_{n+1} = (V_n \times B) + C$.

How to read results:

  • Primary Highlighted Result: This displays the final value ($V_N$) after all iterations are completed. It's your key projected outcome.
  • Total Value Accumulated: In this model, it also refers to the final value ($V_N$).
  • Average Component Contribution: This shows the average impact per iteration. It's calculated as the Final Value divided by the Number of Iterations. It gives a sense of the typical step-by-step change, though the actual change varies due to the multiplier.
  • Final Component C Adjustment: This simply reiterates the value of Component C, as it's a constant factor applied in the last step.
  • Table: The table provides a detailed breakdown of each iteration, showing the starting value, the result of the $(V_n \times B) + C$ calculation, and the ending value for that specific step. This is invaluable for understanding the progression.
  • Chart: The dynamic chart visually represents the "Ending Value" column from the table, allowing you to quickly grasp the trend (growth, decay, stabilization) over the specified iterations.

Decision-making guidance: Use the results to forecast future states, assess the impact of different parameters (by changing B and C), and make informed strategic decisions. For instance, if Component B is less than 1 and Component C is negative, you'll likely see a declining trend, prompting a need for intervention or alternative strategies. Conversely, a high B with a positive C could indicate rapid growth potential, requiring planning for scaling up resources. The calculator with ABC button is a powerful tool for scenario planning.

Key Factors That Affect Calculator with ABC Button Results

Several factors significantly influence the outcomes generated by the Calculator with ABC Button. Understanding these is crucial for accurate analysis and interpretation.

  • Initial Value (Component A): A higher starting value will generally lead to larger absolute gains or losses, especially when Component B is significantly different from 1. The base amount dictates the scale of the entire projection.
  • Multiplier Value (Component B): This is arguably the most impactful factor for long-term projections.
    • If $B > 1$: Results in exponential growth. Small increases in B (e.g., from 1.05 to 1.10) can lead to dramatically different outcomes over many iterations.
    • If $0 < B < 1$: Results in exponential decay. The value decreases at an accelerating rate initially, then slowing down.
    • If $B = 1$: The growth/decay is linear, solely driven by Component C.
    This is a fundamental driver in any analysis involving the calculator with ABC button.
  • Offset Value (Component C): This additive/subtractive factor provides a consistent directional push. A positive C boosts growth (especially significant when B is close to 1), while a negative C accelerates decline. Its impact is constant per iteration, unlike Component B.
  • Number of Iterations (N): The longer the projection period (more iterations), the more pronounced the effects of Component B's exponential nature and Component C's cumulative impact become. Short periods might show linearity, while long periods reveal exponential trends.
  • Interactions Between B and C: The interplay is critical. A high multiplier ($B > 1$) combined with a positive offset ($C > 0$) leads to rapid acceleration. Conversely, a decay multiplier ($0 < B < 1$) with a negative offset ($C < 0$) results in a swift decline towards zero or negative infinity.
  • Rate of Change vs. Absolute Change: Component B represents a *rate* of change (percentage-based), while Component C represents an *absolute* change (fixed amount). Understanding this distinction is key to interpreting how the values evolve differently over time. The calculator with ABC button helps visualize this dynamic.
  • Real-world Constraints (Implicit): While the calculator models mathematically, real-world applications have limits. Resources might be finite, market conditions change, or regulatory factors might impose ceilings or floors not captured by the simple ABC formula. These external factors must be considered alongside the calculator's output.

Frequently Asked Questions (FAQ)

What is the primary purpose of the Calculator with ABC Button?
Its primary purpose is to model and project values undergoing iterative changes, where each step involves a proportional scaling (Component B) and a fixed adjustment (Component C), starting from an initial value (Component A). It's versatile for various analytical scenarios beyond traditional finance.
Can Component B be negative?
Typically, Component B is expected to be positive. A negative multiplier would lead to sign changes in each iteration, resulting in highly erratic and often meaningless values for most practical applications. The calculator assumes B > 0.
What does it mean if Component C is zero?
If Component C is zero, the formula simplifies to $V_{n+1} = V_n \times B$. This represents pure exponential growth (if B > 1) or decay (if 0 < B < 1), without any fixed addition or subtraction. The calculation becomes a straightforward geometric progression.
How does the number of iterations affect the result?
The number of iterations amplifies the effect of Component B. Over more iterations, exponential trends (growth or decay) become much more pronounced. A small difference in B can lead to vastly different outcomes with a large number of iterations.
Is this calculator suitable for calculating compound interest?
Yes, it can model simple compound interest scenarios. If Component A is the principal, Component B is (1 + interest rate), and Component C is any additional fixed deposit or withdrawal per period, it functions similarly. However, more sophisticated loan or investment calculators might handle nuances like varying interest rates or different compounding frequencies better.
What if the values become extremely large or small?
The calculator uses standard JavaScript number types, which can handle very large or small numbers up to certain limits (floating-point precision). For extreme projections, results might lose precision or eventually hit JavaScript's maximum representable number (Infinity).
Can I use this calculator for population growth models?
Yes, it can be adapted. Component A would be the initial population, Component B would represent the birth/immigration rate minus the death/emigration rate (as a multiplier, e.g., 1.02 for 2% growth), and Component C could represent a fixed number of individuals immigrating or emigrating each period.
How accurate are the results?
The results are mathematically accurate based on the inputs provided and the iterative formula used. However, the accuracy of the projection depends entirely on the accuracy and appropriateness of the input values (A, B, C, N) in representing the real-world scenario being modeled. Garbage in, garbage out still applies.
What does "Average Component Contribution" mean practically?
It's the final result divided by the number of steps. It gives a simplified average impact per step. However, due to the multiplicative nature of Component B, the actual contribution changes significantly with each iteration. It's a useful metric for a quick summary but doesn't reflect the dynamic process like the iteration table does.

Related Tools and Internal Resources

function validateInput(id, errorId, minValue = null, maxValue = null) { var input = document.getElementById(id); var error = document.getElementById(errorId); var value = parseFloat(input.value); error.style.display = 'none'; // Hide error initially if (input.value === "") { error.innerText = "This field cannot be empty."; error.style.display = 'block'; return false; } if (isNaN(value)) { error.innerText = "Please enter a valid number."; error.style.display = 'block'; return false; } if (minValue !== null && value maxValue) { error.innerText = "Value cannot exceed " + maxValue + "."; error.style.display = 'block'; return false; } return true; } function calculateAbc() { var isValidA = validateInput('componentA', 'errorComponentA'); var isValidB = validateInput('componentB', 'errorComponentB', 0.000001); // Ensure B is positive to avoid division by zero issues conceptually, though formula handles 0 ok var isValidC = validateInput('componentC', 'errorComponentC'); var isValidIterations = validateInput('iterations', 'errorIterations', 1); if (!isValidA || !isValidB || !isValidC || !isValidIterations) { document.getElementById('results').style.display = 'none'; return; } var componentA = parseFloat(document.getElementById('componentA').value); var componentB = parseFloat(document.getElementById('componentB').value); var componentC = parseFloat(document.getElementById('componentC').value); var iterations = parseInt(document.getElementById('iterations').value); var currentValue = componentA; var totalAccumulated = componentA; // For this specific calculator, total accumulated IS the final value var resultsTable = document.getElementById('resultsTableBody'); resultsTable.innerHTML = "; // Clear previous results var chartData = []; chartData.push({ x: 0, y: componentA }); for (var i = 1; i <= iterations; i++) { var previousValue = currentValue; currentValue = (currentValue * componentB) + componentC; totalAccumulated = currentValue; // Update total accumulated to the latest value var row = resultsTable.insertRow(); row.insertCell(0).innerText = i; row.insertCell(1).innerText = previousValue.toFixed(2); row.insertCell(2).innerText = (previousValue * componentB).toFixed(2) + " + " + componentC.toFixed(2); row.insertCell(3).innerText = currentValue.toFixed(2); chartData.push({ x: i, y: currentValue }); // Add row to table resultsTable.innerHTML += '' + i + '' + previousValue.toFixed(2) + '(' + previousValue.toFixed(2) + ' * ' + componentB.toFixed(2) + ') + ' + componentC.toFixed(2) + '' + currentValue.toFixed(2) + ''; } var averageContribution = (iterations === 0) ? 0 : totalAccumulated / iterations; var finalCAdjustment = componentC; // Component C is applied in the last step document.getElementById('primaryResult').innerText = totalAccumulated.toFixed(2); document.getElementById('totalAccumulated').innerText = totalAccumulated.toFixed(2); document.getElementById('averageContribution').innerText = averageContribution.toFixed(2); document.getElementById('finalCAdjustment').innerText = finalCAdjustment.toFixed(2); document.getElementById('results').style.display = 'flex'; updateChart(chartData, iterations); } function resetCalculator() { document.getElementById('componentA').value = '150'; document.getElementById('componentB').value = '1.2'; document.getElementById('componentC').value = '25'; document.getElementById('iterations').value = '10'; document.getElementById('results').style.display = 'none'; document.getElementById('resultsTableBody').innerHTML = 'Enter inputs and click Calculate.'; // Clear error messages document.getElementById('errorComponentA').style.display = 'none'; document.getElementById('errorComponentB').style.display = 'none'; document.getElementById('errorComponentC').style.display = 'none'; document.getElementById('errorIterations').style.display = 'none'; // Reset chart var ctx = document.getElementById('abcChart').getContext('2d'); ctx.clearRect(0, 0, ctx.canvas.width, ctx.canvas.height); ctx.font = '16px Segoe UI'; ctx.fillStyle = '#333'; ctx.textAlign = 'center'; ctx.fillText('Enter inputs and click Calculate.', ctx.canvas.width / 2, ctx.canvas.height / 2); } function copyResults() { var primaryResult = document.getElementById('primaryResult').innerText; var totalAccumulated = document.getElementById('totalAccumulated').innerText; var averageContribution = document.getElementById('averageContribution').innerText; var finalCAdjustment = document.getElementById('finalCAdjustment').innerText; var componentA = document.getElementById('componentA').value; var componentB = document.getElementById('componentB').value; var componentC = document.getElementById('componentC').value; var iterations = document.getElementById('iterations').value; var assumptions = "Key Assumptions:\n"; assumptions += "- Component A Value: " + componentA + "\n"; assumptions += "- Component B Multiplier: " + componentB + "\n"; assumptions += "- Component C Offset: " + componentC + "\n"; assumptions += "- Number of Iterations: " + iterations + "\n"; var resultsText = "Calculation Results:\n"; resultsText += "Primary Result: " + primaryResult + "\n"; resultsText += "Total Value Accumulated: " + totalAccumulated + "\n"; resultsText += "Average Component Contribution: " + averageContribution + "\n"; resultsText += "Final Component C Adjustment: " + finalCAdjustment + "\n\n"; resultsText += assumptions; navigator.clipboard.writeText(resultsText).then(function() { // Optionally provide user feedback, e.g., change button text temporarily var copyButton = document.querySelector('.btn-success'); var originalText = copyButton.innerText; copyButton.innerText = 'Copied!'; setTimeout(function() { copyButton.innerText = originalText; }, 2000); }).catch(function(err) { console.error('Failed to copy results: ', err); // Handle error feedback if needed }); } function updateChart(data, maxIterations) { var ctx = document.getElementById('abcChart').getContext('2d'); // Clear previous chart ctx.clearRect(0, 0, ctx.canvas.width, ctx.canvas.height); var chartWidth = ctx.canvas.width; var chartHeight = ctx.canvas.height; var padding = 40; var chartAreaWidth = chartWidth – 2 * padding; var chartAreaHeight = chartHeight – 2 * padding; // Find min and max values for scaling var yValues = data.map(item => item.y); var minY = Math.min(…yValues); var maxY = Math.max(…yValues); // Ensure Y-axis starts from 0 or lower if values are negative var yAxisMin = Math.min(0, minY – (maxY – minY) * 0.1); // Add 10% buffer below zero or min value var yAxisMax = maxY + (maxY – minY) * 0.1; // Add 10% buffer above max value if (yAxisMax === yAxisMin) yAxisMax += 1; // Handle case where all values are the same var yScale = chartAreaHeight / (yAxisMax – yAxisMin); // X-axis scaling var xScale = chartAreaWidth / maxIterations; // — Draw Axes — ctx.beginPath(); ctx.strokeStyle = '#ccc'; ctx.lineWidth = 1; // Y-axis line ctx.moveTo(padding, padding); ctx.lineTo(padding, chartHeight – padding); // X-axis line var xAxisY = chartHeight – padding – (0 – yAxisMin) * yScale; if (xAxisY >= padding && xAxisY <= chartHeight – padding) { ctx.moveTo(padding, xAxisY); ctx.lineTo(chartWidth – padding, xAxisY); } else { // If 0 is outside the visible Y range, draw axis at bottom ctx.moveTo(padding, chartHeight – padding); ctx.lineTo(chartWidth – padding, chartHeight – padding); } ctx.stroke(); // — Draw Y-axis Labels — ctx.fillStyle = '#666'; ctx.textAlign = 'right'; ctx.font = '12px Segoe UI'; var numYLabels = 5; for (var i = 0; i = padding && yPos <= chartHeight – padding) { ctx.fillText(yValue.toFixed(0), padding – 10, yPos + 5); // Dashed lines ctx.beginPath(); ctx.moveTo(padding, yPos); ctx.lineTo(chartWidth – padding, yPos); ctx.setLineDash([3, 3]); ctx.strokeStyle = '#eee'; ctx.stroke(); ctx.setLineDash([]); } } // — Draw X-axis Labels — ctx.fillStyle = '#666'; ctx.textAlign = 'center'; ctx.font = '12px Segoe UI'; for (var i = 0; i = padding && xPos <= chartWidth – padding) { ctx.fillText(i, xPos, chartHeight – padding + 15); } } // — Draw Data Series (Value Over Time) — ctx.beginPath(); ctx.strokeStyle = 'var(–primary-color)'; ctx.lineWidth = 2.5; ctx.lineJoin = 'round'; ctx.lineCap = 'round'; for (var i = 0; i < data.length; i++) { var xPos = padding + data[i].x * xScale; var yPos = chartHeight – padding – (data[i].y – yAxisMin) * yScale; if (i === 0) { ctx.moveTo(xPos, yPos); } else { ctx.lineTo(xPos, yPos); } } ctx.stroke(); // — Draw Data Points — ctx.fillStyle = 'var(–primary-color)'; for (var i = 0; i < data.length; i++) { var xPos = padding + data[i].x * xScale; var yPos = chartHeight – padding – (data[i].y – yAxisMin) * yScale; ctx.beginPath(); ctx.arc(xPos, yPos, 4, 0, Math.PI * 2); ctx.fill(); } // — Add Chart Title — ctx.font = 'bold 16px Segoe UI'; ctx.fillStyle = 'var(–primary-color)'; ctx.textAlign = 'center'; ctx.fillText('Value Progression Over Iterations', chartWidth / 2, padding – 10); } // Initialize chart placeholder on load window.onload = function() { var ctx = document.getElementById('abcChart').getContext('2d'); ctx.font = '16px Segoe UI'; ctx.fillStyle = '#333'; ctx.textAlign = 'center'; ctx.fillText('Enter inputs and click Calculate.', ctx.canvas.width / 2, ctx.canvas.height / 2); // Initialize FAQ accordion var faqQuestions = document.querySelectorAll('.faq-question'); faqQuestions.forEach(function(question) { question.addEventListener('click', function() { var answer = this.nextElementSibling; if (answer.style.display === 'block') { answer.style.display = 'none'; this.classList.remove('active'); } else { answer.style.display = 'block'; this.classList.add('active'); } }); }); };

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