Tree Log Weight Calculator

Tree Log Weight Calculator: Estimate Log Weight Accurately :root { –primary-color: #004a99; –success-color: #28a745; –background-color: #f8f9fa; –text-color: #333; –light-gray: #eee; –dark-gray: #6c757d; –white: #fff; } 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; justify-content: center; padding-top: 20px; padding-bottom: 40px; } .container { max-width: 960px; width: 100%; background-color: var(–white); padding: 30px; border-radius: 8px; box-shadow: 0 4px 15px rgba(0, 0, 0, 0.08); display: flex; flex-direction: column; align-items: center; } h1, h2, h3 { color: var(–primary-color); text-align: center; } h1 { margin-bottom: 10px; } .subtitle { text-align: center; color: var(–dark-gray); margin-bottom: 30px; font-size: 1.1em; } .calculator-section { width: 100%; margin-bottom: 40px; padding: 30px; background-color: var(–light-gray); border-radius: 8px; 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Tree Log Weight Calculator

Estimate the weight of your tree logs based on dimensions and wood type.

Enter the diameter of the log in inches.
Enter the length of the log in feet.
Pine (Light) Fir (Medium) Oak (Heavy) Hickory (Very Heavy)
Select the type of wood for density estimation.
Formula: Weight = Volume × Density. Volume is calculated as π * (Diameter/2)² * Length. Density is an average for the selected wood type. Surface Area ≈ π * Diameter * Length.

Weight vs. Diameter for Constant Length (16 ft)

Estimated log weight for different diameters at a fixed length of 16 feet, considering various wood densities.

Typical Wood Densities and Properties

Wood Type Density (Lbs/Cu Ft) Approx. Weight (16 ft, 12″ Diameter) Common Use
Pine (Light) 30-40 ~105 lbs Construction, Paper
Fir (Medium) 40-50 ~140 lbs Framing, Plywood
Oak (Heavy) 50-60 ~175 lbs Furniture, Flooring
Hickory (Very Heavy) 60-70 ~210 lbs Tool Handles, Flooring
A comparison of common wood types, their approximate densities, and estimated weights for a standard log size.

What is Tree Log Weight Calculation?

Tree log weight calculation is the process of estimating the mass of a section of a tree trunk (a log) using its physical dimensions and the wood's inherent properties, primarily its density. This is not a simple measurement; it's an estimation that helps forestry professionals, loggers, woodworkers, and even homeowners understand the material they are working with. Accurate weight estimates are crucial for transportation logistics, determining carrying capacity, planning harvesting operations, and assessing timber value.

Who should use it?

  • Loggers and Foresters: To estimate the volume and weight of timber for harvest planning, sale, and efficient transportation.
  • Sawmill Operators: To manage inventory, plan processing, and ensure machinery can handle the loads.
  • Woodworkers and Carpenters: To estimate the material needed for projects and understand the handling requirements of different wood types.
  • Log Home Builders: To calculate the structural load and material handling needs.
  • Anyone involved in timber sales or transport: To get a reasonable estimate before physical weighing.

Common Misconceptions:

  • Logs of the same size weigh the same: This is false. Wood density varies significantly by species, moisture content, and even growing conditions.
  • Weight is directly proportional to volume: While volume is a factor, density is the multiplier that significantly impacts the final weight. A cubic foot of balsa wood weighs far less than a cubic foot of oak.
  • Freshly cut logs weigh less: Often, freshly cut logs are heavier due to higher moisture content. As wood dries, it loses weight. Our calculator typically uses a standard density for seasoned wood unless specified otherwise.

Tree Log Weight Calculation Formula and Mathematical Explanation

The fundamental principle behind calculating tree log weight is the relationship between volume, density, and mass (weight). The formula is straightforward:

Weight = Volume × Density

Let's break down each component:

Volume Calculation

Logs are typically approximated as cylinders for volume calculation. The formula for the volume of a cylinder is:

Volume (V) = π × r² × h

Where:

  • π (Pi): A mathematical constant, approximately 3.14159.
  • r (radius): Half of the log's diameter. If diameter is given in inches, it must be converted to feet (divide by 12).
  • h (height/length): The length of the log in feet.

Since we are given the diameter (D) directly, the radius (r) is D/2. So the formula becomes:

V = π × (D/2)² × h

The resulting volume will be in cubic feet (ft³).

Density

Density is a measure of mass per unit volume. For wood, it's commonly expressed in pounds per cubic foot (lbs/ft³). The density of wood varies greatly depending on the species, moisture content, and even how the tree grew. We use average densities for common wood types.

Surface Area (for context)

While not directly used in weight calculation, surface area can be useful for understanding drying rates or potential finish coverage. The lateral surface area of a cylinder is:

Surface Area (SA) = π × D × h

Where D is the diameter in feet and h is the length in feet.

Putting it Together

First, we ensure all measurements are in consistent units (feet for length, feet for radius derived from diameter). Then, we calculate the volume. Finally, we multiply the calculated volume by the appropriate density factor for the chosen wood type to get the estimated weight.

Variables Table

Variable Meaning Unit Typical Range
D Log Diameter Inches (converted to feet for volume calc) 1 – 60+
h Log Length Feet 1 – 100+
r Log Radius Feet 0.04 – 2.5+ (derived from D)
V Log Volume Cubic Feet (ft³) 0.1 – 100+
Density (ρ) Wood Density Pounds per Cubic Foot (lbs/ft³) 20 (Balsa) – 70+ (Dense Hardwoods)
Weight (W) Estimated Log Weight Pounds (lbs) Highly variable, depends on V and ρ

Practical Examples (Real-World Use Cases)

Example 1: Estimating a Pine Timber Log

A forester is assessing a stand of Pine trees for potential harvest. They measure a representative log:

  • Diameter: 18 inches
  • Length: 20 feet
  • Wood Type: Pine (Density Factor: 35 lbs/Cu Ft)

Calculation Steps:

  1. Convert Diameter to feet: 18 inches / 12 inches/foot = 1.5 feet
  2. Calculate Radius: 1.5 feet / 2 = 0.75 feet
  3. Calculate Volume: π × (0.75 ft)² × 20 ft ≈ 3.14159 × 0.5625 ft² × 20 ft ≈ 35.34 cubic feet
  4. Calculate Weight: 35.34 cubic feet × 35 lbs/cubic foot ≈ 1237 lbs

Result Interpretation: This specific pine log weight calculation suggests the log weighs approximately 1237 pounds. This helps in estimating the total weight of the harvested timber, planning trucking needs, and understanding the economic yield.

Example 2: Calculating the Weight of an Oak Firewood Log

A homeowner is stacking Oak firewood and wants to know the weight of a typical log for stacking purposes:

  • Diameter: 10 inches
  • Length: 8 feet
  • Wood Type: Oak (Density Factor: 55 lbs/Cu Ft)

Calculation Steps:

  1. Convert Diameter to feet: 10 inches / 12 inches/foot ≈ 0.833 feet
  2. Calculate Radius: 0.833 feet / 2 ≈ 0.417 feet
  3. Calculate Volume: π × (0.417 ft)² × 8 ft ≈ 3.14159 × 0.1739 ft² × 8 ft ≈ 4.37 cubic feet
  4. Calculate Weight: 4.37 cubic feet × 55 lbs/cubic foot ≈ 240 lbs

Result Interpretation: The tree log weight for this oak log is estimated at around 240 pounds. This information is useful for ensuring firewood sheds can support the weight and for planning how much physical effort is needed to move the logs.

How to Use This Tree Log Weight Calculator

Our Tree Log Weight Calculator is designed for simplicity and accuracy. Follow these steps:

  1. Measure Log Dimensions: Accurately measure the diameter of the log at its midpoint (or average diameter if it tapers significantly) in inches, and the length of the log in feet. Ensure your tape measure is held straight.
  2. Select Wood Type: Choose the species of the tree from the dropdown menu. Each option corresponds to a typical wood density factor used in the calculation. If your wood type isn't listed, select the closest option based on hardwood/softwood and known density.
  3. Input Values: Enter the measured diameter and length into the respective fields. Double-check your entries for typos.
  4. Calculate: Click the "Calculate" button. The calculator will instantly display the estimated total weight of the log, along with intermediate values like volume and density.
  5. Interpret Results: The primary result shows the estimated weight in pounds. The intermediate values provide context about the log's size and the density factor used.
  6. Reset or Copy: Use the "Reset" button to clear the fields and start over. Use the "Copy Results" button to copy all calculated values and key assumptions to your clipboard for use elsewhere.

Decision-Making Guidance: Use these weight estimates to inform decisions about transportation costs (weight limits for trucks), storage space requirements, and the physical effort needed for handling. For timber sales, weight is often a factor in pricing, though volume (board feet or cubic meters) is more commonly used.

Key Factors That Affect Tree Log Weight Results

While our calculator provides a solid estimate, several real-world factors can cause the actual weight to deviate:

  1. Species and Wood Density: This is the most significant factor after volume. Different tree species have vastly different inherent densities due to their cellular structure. Hardwoods like oak and hickory are generally much denser and heavier than softwoods like pine and fir. Our calculator uses average densities, but specific sub-species or genetic variations can occur.
  2. Moisture Content: Freshly cut logs contain a substantial amount of water (often 50-100% of the dry weight). As logs season or dry, they lose moisture and therefore weight. Our calculator generally assumes a standard density for wood that has reached a stable moisture content, but freshly felled logs will be significantly heavier than the calculation might suggest.
  3. Tapering (Log Shape): We approximate logs as perfect cylinders. In reality, logs taper from the butt (base) to the top. A log with significant taper will have a slightly smaller average diameter than assumed if you measure the larger end, or a slightly larger volume if you measure the midpoint and assume constant diameter. For highly accurate forestry measurements, more complex volume formulas are used.
  4. Knots and Irregularities: Large knots, holes, or decay pockets can reduce the overall density and weight of a log compared to a solid, uniform piece. Conversely, included tension wood or reaction wood can sometimes increase density in specific areas.
  5. Measurement Accuracy: Precision in measuring the diameter and length is crucial. Even small errors in measurement can lead to noticeable differences in the calculated weight, especially for large logs. Using the midpoint diameter is generally recommended for better accuracy.
  6. Log Condition (Bark): The presence or absence of bark can also affect the weight. Bark adds a significant amount of weight, especially on larger logs. Our density factors typically assume wood without bark. For precise measurements, the bark thickness should be considered.

Frequently Asked Questions (FAQ)

  • Q1: What units does the calculator use?

    The calculator takes diameter in inches and length in feet. It outputs the estimated weight in pounds (lbs).

  • Q2: How accurate is this tree log weight calculator?

    It provides a good estimate based on standard formulas and average wood densities. Actual weight can vary due to moisture content, specific wood properties, and measurement precision.

  • Q3: Can I use this for wet or green logs?

    The calculator uses standard density factors which are generally for seasoned wood. Freshly cut (green) logs will be heavier due to higher moisture content. You might need to increase the estimated weight by 20-50% for very green logs.

  • Q4: What if my wood type isn't listed?

    Choose the option that best matches your wood type in terms of hardness and density. For example, if you have a less common hardwood, select 'Oak' or 'Hickory'. For less common softwoods, select 'Pine' or 'Fir'.

  • Q5: Does the calculator account for the bark?

    Our calculation is based on wood density. Bark adds extra weight. If the bark is still on the log, the actual weight will be higher than the calculated value.

  • Q6: Why is wood density so important for weight?

    Density (mass per unit volume) is the key factor differentiating the weight of materials. A cubic foot of lead weighs much more than a cubic foot of styrofoam. Similarly, a cubic foot of dense hardwood weighs significantly more than a cubic foot of a lighter softwood, even if they are the same size.

  • Q7: How is log volume typically measured for timber sales?

    While weight is a factor, timber sales often use volume measurements like board feet (for lumber) or cubic meters/feet, calculated using specialized forestry log scaling rules (e.g., Doyle, Scribner, International 1/4-Inch rule) that account for taper and sawing recovery.

  • Q8: Can I use this calculator for different units (e.g., metric)?

    Currently, the calculator is designed for imperial units (inches for diameter, feet for length, pounds for weight). You would need to convert your metric measurements to these units before using the calculator.

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var chartInstance = null; // Global variable to hold chart instance function getInputValue(id) { var element = document.getElementById(id); if (element) { return parseFloat(element.value); } return NaN; } function setErrorMessage(id, message) { var errorElement = document.getElementById(id); if (errorElement) { errorElement.textContent = message; } } function clearErrorMessages() { setErrorMessage('logDiameterError', "); setErrorMessage('logLengthError', "); setErrorMessage('woodTypeError', "); } function validateInputs() { var diameter = getInputValue('logDiameter'); var length = getInputValue('logLength'); var woodType = document.getElementById('woodType').value; var isValid = true; clearErrorMessages(); if (isNaN(diameter) || diameter <= 0) { setErrorMessage('logDiameterError', 'Please enter a valid positive diameter.'); isValid = false; } if (isNaN(length) || length <= 0) { setErrorMessage('logLengthError', 'Please enter a valid positive length.'); isValid = false; } if (!woodType) { setErrorMessage('woodTypeError', 'Please select a wood type.'); isValid = false; } return isValid; } function calculateWeight() { if (!validateInputs()) { document.getElementById('primaryResult').textContent = '–'; document.getElementById('volumeResult').textContent = '–'; document.getElementById('densityResult').textContent = '–'; document.getElementById('surfaceAreaResult').textContent = '–'; updateChart([], []); // Clear chart if validation fails return; } var diameterInches = getInputValue('logDiameter'); var lengthFeet = getInputValue('logLength'); var densityFactor = parseFloat(document.getElementById('woodType').value); // Convert diameter to feet var diameterFeet = diameterInches / 12; var radiusFeet = diameterFeet / 2; // Calculate Volume (Cubic Feet) – Cylinder Formula: V = pi * r^2 * h var volume = Math.PI * Math.pow(radiusFeet, 2) * lengthFeet; volume = volume.toFixed(2); // Calculate Weight (Pounds) – Weight = Volume * Density var weight = parseFloat(volume) * densityFactor; weight = weight.toFixed(2); // Calculate Surface Area (Square Feet) – Lateral Surface Area: SA = pi * D * h var surfaceArea = Math.PI * diameterFeet * lengthFeet; surfaceArea = surfaceArea.toFixed(2); var densityValue = densityFactor; // Display the selected density factor document.getElementById('primaryResult').textContent = weight + ' lbs'; document.getElementById('volumeResult').textContent = volume + ' cu ft'; document.getElementById('densityResult').textContent = densityValue + ' lbs/cu ft'; document.getElementById('surfaceAreaResult').textContent = surfaceArea + ' sq ft'; updateChartData(); } function resetCalculator() { document.getElementById('logDiameter').value = '12'; document.getElementById('logLength').value = '16'; document.getElementById('woodType').value = '2.0'; // Default to Fir clearErrorMessages(); calculateWeight(); } function copyResults() { var primaryResult = document.getElementById('primaryResult').textContent; var volumeResult = document.getElementById('volumeResult').textContent; var densityResult = document.getElementById('densityResult').textContent; var surfaceAreaResult = document.getElementById('surfaceAreaResult').textContent; var diameter = document.getElementById('logDiameter').value; var length = document.getElementById('logLength').value; var woodType = document.getElementById('woodType').options[document.getElementById('woodType').selectedIndex].text; var resultsText = "Tree Log Weight Calculation Results:\n\n"; resultsText += "—————————————-\n"; resultsText += "Key Inputs:\n"; resultsText += "—————————————-\n"; resultsText += "Log Diameter: " + diameter + " inches\n"; resultsText += "Log Length: " + length + " feet\n"; resultsText += "Wood Type: " + woodType + "\n\n"; resultsText += "—————————————-\n"; resultsText += "Calculated Values:\n"; resultsText += "—————————————-\n"; resultsText += "Estimated Weight: " + primaryResult + "\n"; resultsText += "Volume: " + volumeResult + "\n"; resultsText += "Density: " + densityResult + "\n"; resultsText += "Surface Area: " + surfaceAreaResult + "\n"; resultsText += "—————————————-\n"; resultsText += "Assumptions:\n"; resultsText += "Log shape approximated as a cylinder.\n"; resultsText += "Density is an average for the selected wood type.\n"; navigator.clipboard.writeText(resultsText).then(function() { alert('Results copied to clipboard!'); }, function(err) { console.error('Failed to copy results: ', err); alert('Failed to copy results. Please copy manually.'); }); } // Charting Functions function updateChartData() { var canvas = document.getElementById('weightChart'); if (!canvas) return; var ctx = canvas.getContext('2d'); var diameterInput = document.getElementById('logDiameter'); var lengthInput = document.getElementById('logLength'); var woodTypeSelect = document.getElementById('woodType'); // Get current inputs to base chart on var currentLength = parseFloat(lengthInput.value) || 16; // Default to 16 if invalid var currentDiameter = parseFloat(diameterInput.value) || 12; // Default to 12 for reference point var diameters = []; var weightsPine = []; var weightsFir = []; var weightsOak = []; var weightsHickory = []; // Generate data points for diameters from 6 to 30 inches for (var d = 6; d <= 30; d++) { diameters.push(d); var diameterFt = d / 12; var radiusFt = diameterFt / 2; var volume = Math.PI * Math.pow(radiusFt, 2) * currentLength; weightsPine.push((volume * 35).toFixed(0)); // Pine density ~35 weightsFir.push((volume * 45).toFixed(0)); // Fir density ~45 weightsOak.push((volume * 55).toFixed(0)); // Oak density ~55 weightsHickory.push((volume * 65).toFixed(0)); // Hickory density ~65 } if (chartInstance) { chartInstance.data.labels = diameters; chartInstance.data.datasets[0].data = weightsPine; chartInstance.data.datasets[0].label = 'Pine (~35 lbs/cu ft)'; chartInstance.data.datasets[1].data = weightsFir; chartInstance.data.datasets[1].label = 'Fir (~45 lbs/cu ft)'; chartInstance.data.datasets[2].data = weightsOak; chartInstance.data.datasets[2].label = 'Oak (~55 lbs/cu ft)'; chartInstance.data.datasets[3].data = weightsHickory; chartInstance.data.datasets[3].label = 'Hickory (~65 lbs/cu ft)'; chartInstance.options.title.text = 'Estimated Log Weight vs. Diameter (Length: ' + currentLength + ' ft)'; chartInstance.update(); } else { createChart(diameters, weightsPine, weightsFir, weightsOak, weightsHickory, currentLength); } } function createChart(diameters, weightsPine, weightsFir, weightsOak, weightsHickory, length) { var canvas = document.getElementById('weightChart'); if (!canvas) return; var ctx = canvas.getContext('2d'); // Destroy previous chart instance if it exists if (chartInstance) { chartInstance.destroy(); } chartInstance = new Chart(ctx, { type: 'line', data: { labels: diameters, datasets: [{ label: 'Pine (~35 lbs/cu ft)', data: weightsPine, borderColor: 'rgba(139, 69, 19, 0.6)', // Sienna backgroundColor: 'rgba(139, 69, 19, 0.1)', fill: false, tension: 0.1 }, { label: 'Fir (~45 lbs/cu ft)', data: weightsFir, borderColor: 'rgba(34, 139, 34, 0.6)', // ForestGreen backgroundColor: 'rgba(34, 139, 34, 0.1)', fill: false, tension: 0.1 }, { label: 'Oak (~55 lbs/cu ft)', data: weightsOak, borderColor: 'rgba(128, 0, 0, 0.6)', // Maroon backgroundColor: 'rgba(128, 0, 0, 0.1)', fill: false, tension: 0.1 }, { label: 'Hickory (~65 lbs/cu ft)', data: weightsHickory, borderColor: 'rgba(70, 130, 180, 0.6)', // SteelBlue backgroundColor: 'rgba(70, 130, 180, 0.1)', fill: false, tension: 0.1 }] }, options: { responsive: true, maintainAspectRatio: true, title: { display: true, text: 'Estimated Log Weight vs. Diameter (Length: ' + length + ' ft)', fontSize: 16, fontColor: 'var(–primary-color)' }, scales: { xAxes: [{ scaleLabel: { display: true, labelString: 'Log Diameter (inches)', fontColor: 'var(–dark-gray)' }, ticks: { fontColor: 'var(–text-color)' } }], yAxes: [{ scaleLabel: { display: true, labelString: 'Estimated Weight (Pounds)', fontColor: 'var(–dark-gray)' }, ticks: { fontColor: 'var(–text-color)', beginAtZero: true, callback: function(value, index, values) { return value.toLocaleString() + ' lbs'; } } }] }, legend: { labels: { fontColor: 'var(–text-color)' } } } }); } // Initial chart load on page load window.onload = function() { resetCalculator(); // Set default values and calculate updateChartData(); // Generate initial chart data };

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