Baby Girl Weight Chart Calculator Who

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Baby Girl Weight Chart Calculator (WHO Standards)

Understand Your Baby's Growth

Enter the baby girl's age in completed months (0-24 months).
Enter the baby girl's current weight in kilograms.
Enter the baby girl's length (recumbent) in centimeters.
Enter the baby girl's head circumference in centimeters.

Growth Percentile Results

N/A Your baby girl's estimated percentile.
Weight Percentile: N/A
Length Percentile: N/A
Head Circumference Percentile: N/A
How it works: This calculator compares your baby's measurements against World Health Organization (WHO) growth standards for girls aged 0-24 months. It determines where your baby's weight, length, and head circumference fall relative to other healthy babies of the same age and sex, expressed as a percentile. A percentile indicates that a baby is heavier/longer/larger-headed than X% of babies of the same age and sex.
Visualizing your baby girl's weight and length percentiles over age (based on WHO data).
WHO Growth Standards for Girls (Weight-for-age, Length-for-age)
Age (Months) P3 Weight (kg) P50 Weight (kg) P97 Weight (kg) P3 Length (cm) P50 Length (cm) P97 Length (cm)
02.63.54.945.549.854.0
34.76.08.058.164.070.0
66.47.89.965.972.178.2
97.79.211.671.177.283.5
128.610.112.775.281.287.6
189.711.213.980.986.493.0
2410.512.115.085.791.198.2

What is a Baby Girl Weight Chart Calculator?

A Baby Girl Weight Chart Calculator, specifically one based on World Health Organization (WHO) growth standards, is a tool designed to help parents, caregivers, and healthcare professionals assess how a baby girl's physical development (weight, length, and head circumference) compares to that of other healthy babies of the same age and sex. These calculators do not diagnose conditions but provide a snapshot of growth relative to established benchmarks. The WHO growth standards are considered the international reference for assessing infant and young child growth in healthy, well-nourished populations.

Who Should Use It?

  • Parents and Guardians: To gain insights into their baby's growth trajectory and discuss any concerns with their pediatrician.
  • Pediatricians and Healthcare Providers: To quickly plot measurements and visually assess a child's growth pattern on standard growth charts.
  • Childcare Providers: For general understanding of typical developmental milestones.

Common Misconceptions

  • "My baby must be *exactly* on the 50th percentile to be healthy." This is false. The 50th percentile represents the median, meaning half of babies are above it and half are below. Any percentile within the typical range (often considered between the 3rd and 97th) can indicate healthy growth, provided the growth is consistent over time.
  • "A single measurement determines everything." Growth is a process. A single data point is less informative than a trend observed over multiple measurements. A baby consistently tracking along a specific percentile curve is generally a good sign, even if it's not the 50th.
  • "These charts are absolute rules." WHO standards are reference points for healthy, thriving populations under optimal conditions. Individual variations are normal.

Baby Girl Weight Chart Calculator Formula and Mathematical Explanation

The core of a Baby Girl Weight Chart Calculator involves comparing a baby's measurements (weight, length, head circumference) at a specific age against the WHO growth standards data. These standards are derived from extensive studies and provide reference curves for various percentiles (e.g., 3rd, 15th, 50th, 85th, 97th).

Step-by-Step Derivation

The calculator does not strictly use a single 'formula' in the mathematical sense of calculating a value from inputs. Instead, it performs a lookup and interpolation process. The WHO provides complex statistical models (like the LMS method – Lambda, Mu, Sigma) that generate these percentile curves. A simplified explanation of what the calculator essentially does is:

  1. Input Measurements: The user inputs the baby's age (in months), weight (kg), length (cm), and head circumference (cm).
  2. Access WHO Data: The calculator accesses pre-defined WHO growth data points for girls. This data typically includes the age at which specific measurements correspond to different percentiles (e.g., at 6 months, a weight of 7.8 kg is approximately the 50th percentile).
  3. Interpolation: Since the user's exact age or measurement might not be a data point in the pre-defined WHO tables, the calculator often interpolates between the nearest known data points to estimate the precise percentile.
  4. Output Percentile: The output is the estimated percentile rank for each measurement (weight, length, head circumference). For example, a weight percentile of 75 means the baby weighs more than 75% of girls her age according to the WHO standard.

Variable Explanations

Variables Used in Baby Growth Assessment
Variable Meaning Unit Typical Range (Approx. 0-24 Months)
Age Time elapsed since birth. Crucial for comparing against age-specific standards. Months 0 – 24
Weight Body mass. Indicates overall growth and caloric intake adequacy. kg (Kilograms) ~2.5 kg to ~15 kg
Length Recumbent body length (for infants). Measures linear growth. cm (Centimeters) ~45 cm to ~98 cm
Head Circumference (OFC) Measurement around the largest part of the head. Reflects brain growth. cm (Centimeters) ~33 cm to ~48 cm
Percentile Statistical rank indicating the percentage of babies below a given measurement. % 0 – 100 (Calculated)

Note: The typical ranges provided are approximate and broad. The WHO growth charts offer detailed percentile curves.

Practical Examples (Real-World Use Cases)

Understanding how to interpret the results is key. Here are a couple of scenarios:

Example 1: A Thriving Baby Girl

  • Inputs:
    • Age: 8 Months
    • Weight: 9.0 kg
    • Length: 75 cm
    • Head Circumference: 45 cm
  • Calculator Output (Estimated):
    • Weight Percentile: 65th
    • Length Percentile: 70th
    • Head Circumference Percentile: 80th
    • Primary Result: Growth is tracking well within the healthy range.
  • Interpretation: This baby girl is growing well. Her weight and length are above the median (50th percentile) but well within the recommended range (up to the 97th percentile). Her head circumference is also healthy, indicating good brain development relative to her peers. Consistent tracking within a percentile band like this is generally a positive sign of healthy growth. Discussing these results with a pediatrician can provide further context.

Example 2: A Baby Needing Closer Observation

  • Inputs:
    • Age: 15 Months
    • Weight: 8.0 kg
    • Length: 78 cm
    • Head Circumference: 43 cm
  • Calculator Output (Estimated):
    • Weight Percentile: 10th
    • Length Percentile: 15th
    • Head Circumference Percentile: 40th
    • Primary Result: Weight and length are on the lower end of the healthy spectrum.
  • Interpretation: This baby girl's weight and length are below the 50th percentile, placing her in the lower end of the healthy growth spectrum (typically between the 3rd and 97th percentile). While not necessarily a cause for immediate alarm, these measurements suggest that her growth rate should be monitored closely. Her head circumference is closer to the median, which might indicate that the primary concern is with weight gain or linear growth. It would be important for her caregivers to consult with a healthcare provider to rule out any underlying issues and ensure adequate nutrition and development. Consistent monitoring is key.

How to Use This Baby Girl Weight Chart Calculator

Using the Baby Girl Weight Chart Calculator is straightforward. Follow these simple steps to understand your baby's growth percentiles:

Step-by-Step Instructions

  1. Gather Measurements: Ensure you have accurate, recent measurements for your baby girl: her exact age in completed months, her weight in kilograms (kg), her length in centimeters (cm), and her head circumference in centimeters (cm).
  2. Enter Data: Input these values into the corresponding fields in the calculator: "Age (Months)", "Weight (kg)", "Length (cm)", and "Head Circumference (cm)".
  3. Calculate: Click the "Calculate Percentiles" button.
  4. View Results: The calculator will display the estimated percentile for weight, length, and head circumference. The primary result will give a quick summary.
  5. Interpret: Understand what the percentiles mean. A higher percentile means your baby is larger compared to others of the same age; a lower percentile means she is smaller. Growth that is consistent along a percentile curve is often more important than hitting a specific number.
  6. Reset: To enter new measurements, use the "Reset" button to clear the fields and start again.
  7. Copy: Use the "Copy Results" button to save or share the calculated percentiles and key information.

How to Read Results

  • Percentile: A percentile number (e.g., 75th) means your baby is larger than 75% of babies her age and smaller than 25%.
  • Primary Result: This offers a quick assessment (e.g., "Growth is tracking well," "Requires monitoring").
  • WHO Standards: The calculator uses WHO standards, considered the global benchmark for healthy growth in optimal conditions.
  • Focus on Trend: While single measurements are useful, consistent growth over time, often visualized on a growth chart, is the most critical indicator of healthy development.

Decision-Making Guidance

The results from this Baby Girl Weight Chart Calculator are for informational purposes. They are a tool to facilitate discussions with your pediatrician. If your baby's measurements fall significantly outside the typical range (below the 3rd or above the 97th percentile), or if there's a sudden, unexplained shift in her growth curve, consult your healthcare provider promptly. They can assess the full picture, considering factors like feeding, activity, and overall health, to provide personalized advice.

Key Factors That Affect Baby Girl Growth Results

Several factors influence a baby girl's growth measurements and the resulting percentiles. Understanding these helps in interpreting the data from a Baby Girl Weight Chart Calculator:

  1. Genetics:

    A baby's genetic makeup plays a significant role. Just like adults, babies have inherent genetic predispositions for size and growth rate. Parents who are tall or have a history of larger babies may have a child who consistently falls into higher percentiles, even if they are perfectly healthy.

  2. Nutrition and Feeding:

    Adequate and appropriate nutrition is paramount. Whether breastfed or formula-fed, the quality and quantity of intake directly impact weight gain and overall growth. Insufficient caloric intake can lead to slower weight gain or weight falling off the growth curve, while appropriate feeding supports healthy development along a percentile.

  3. Prenatal Health and Birth Weight:

    A baby's growth trajectory often starts even before birth. Factors like maternal health during pregnancy, placental function, and the baby's initial birth weight can influence subsequent growth. Babies born prematurely or with low birth weight may follow a different growth curve initially before potentially "catching up".

  4. Illness and Health Conditions:

    Acute illnesses (like infections) can temporarily slow growth. Chronic health conditions, digestive issues (like malabsorption), hormonal imbalances, or genetic syndromes can have a more sustained impact on a baby's ability to grow at a typical rate. This can cause measurements to fall on lower percentiles.

  5. Sleep Patterns and Activity Levels:

    While less directly quantifiable for basic charts, adequate sleep is crucial for growth hormone release and overall recovery. Similarly, a baby's energy expenditure through activity can influence caloric needs and, consequently, weight gain. A very active baby might require more calories to maintain their position on the growth chart.

  6. Measurement Accuracy and Frequency:

    The accuracy of the measurements themselves is critical. Inconsistent or incorrect measurements (e.g., scales not zeroed, baby not measured correctly for length) can lead to skewed results. Furthermore, growth is best assessed over time; a single measurement from a Baby Girl Weight Chart Calculator is less informative than a series of measurements plotted on a chart, showing a consistent trend.

  7. Prematurity and Gestational Age:

    For babies born prematurely, growth is often assessed against corrected gestational age, especially in the first year or two. A premature baby might appear to be on lower percentiles if judged solely by chronological age, but might be tracking appropriately when their prematurity is accounted for.

Frequently Asked Questions (FAQ)

What age range does the WHO calculator cover?

This calculator is based on WHO growth standards, which typically cover birth up to 5 years of age. Our specific implementation focuses on the 0-24 month range for weight, length, and head circumference, as these are critical periods for rapid development.

Are these charts for boys and girls the same?

No, the WHO provides separate growth charts and standards for boys and girls because their typical growth patterns differ slightly, particularly after infancy.

What is the difference between percentile and percentage?

A percentile indicates rank. For example, the 50th percentile means a baby is at the midpoint – larger than 50% of babies her age and smaller than 50%. A percentage typically refers to a part of a whole (e.g., 75% of 100). In growth assessment, we use percentiles.

Is it bad if my baby is below the 50th percentile?

Not necessarily. As long as your baby is growing consistently along a percentile curve (e.g., staying around the 10th percentile) and is healthy, it's considered normal. The key is consistent, steady growth, not necessarily being at the median. Consult your pediatrician if you have concerns.

What if my baby's measurements change percentiles suddenly?

A sudden, significant jump or drop in percentiles across multiple measurements can warrant a discussion with your pediatrician. It might indicate a change in growth rate that needs investigation to ensure optimal health and development.

Can this calculator predict future growth?

No, this calculator cannot predict future growth. It assesses current measurements against established standards. Future growth depends on numerous evolving factors. Consistent tracking over time using actual growth charts is the best way to monitor trends.

How accurate are the WHO growth standards?

The WHO growth standards are considered the global benchmark for assessing infant and young child growth. They are based on extensive data from healthy, well-nourished infants and children in optimal environments worldwide, making them highly reliable references.

Should I use this calculator instead of my doctor's charts?

This calculator is a supplementary tool for informational purposes. Always rely on your pediatrician and their clinical assessments. Doctors use detailed WHO growth charts and consider your baby's individual health context, which a simple online calculator cannot replicate.

What are the standard units for these measurements?

For the WHO standards used in this calculator, weight is typically measured in kilograms (kg), and length and head circumference are measured in centimeters (cm). Ensure your measurements are in these units for accurate comparison.

Related Tools and Internal Resources

© 2023 Your Website Name. All rights reserved. This calculator provides estimates based on WHO standards and is not a substitute for professional medical advice.

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Monitor closely."; } if (weightP < 3 || lengthP < 3 || headP 97 || lengthP > 97 || headP > 97) { primaryResultText = "Measurements are significantly high. Consult a pediatrician."; } setResults(primaryResultText, weightP + "th", lengthP + "th", headP + "th"); updateChart(age, weight, length); // Update chart } function getApproximatePercentiles(age, weight, length, headCircumference) { // — Placeholder for actual WHO percentile calculation — // This is highly simplified. Real WHO calculations use the LMS method (Lambda, Mu, Sigma) // which requires complex tables and interpolation for each age and measurement. // For demonstration, we'll use rough linear interpolation and bounds. var weightData = [ {age: 0, p3: 2.6, p50: 3.5, p97: 4.9}, {age: 3, p3: 4.7, p50: 6.0, p97: 8.0}, {age: 6, p3: 6.4, p50: 7.8, p97: 9.9}, {age: 9, p3: 7.7, p50: 9.2, p97: 11.6}, {age: 12, p3: 8.6, p50: 10.1, p97: 12.7}, {age: 18, p3: 9.7, p50: 11.2, p97: 13.9}, {age: 24, p3: 10.5, p50: 12.1, p97: 15.0} ]; var lengthData = [ {age: 0, p3: 45.5, p50: 49.8, p97: 54.0}, {age: 3, p3: 58.1, p50: 64.0, p97: 70.0}, {age: 6, p3: 65.9, p50: 72.1, p97: 78.2}, {age: 9, p3: 71.1, p50: 77.2, p97: 83.5}, {age: 12, p3: 75.2, p50: 81.2, p97: 87.6}, {age: 18, p3: 80.9, p50: 86.4, p97: 93.0}, {age: 24, p3: 85.7, p50: 91.1, p97: 98.2} ]; var headCircData = [ // Approximate values, real WHO data is more complex {age: 0, p3: 32.7, p50: 34.7, p97: 36.7}, {age: 3, p3: 38.3, p50: 40.3, p97: 42.4}, {age: 6, p3: 41.7, p50: 43.7, p97: 45.9}, {age: 9, p3: 43.7, p50: 45.7, p97: 48.0}, {age: 12, p3: 44.9, p50: 47.0, p97: 49.4}, {age: 18, p3: 46.5, p50: 48.7, p97: 51.2}, {age: 24, p3: 47.5, p50: 49.9, p97: 52.5} ]; var getPercentile = function(age, measurement, dataSeries) { // Find the two closest age points var lowerPoint = dataSeries.filter(d => d.age d.age >= age).shift(); if (!lowerPoint) lowerPoint = dataSeries[0]; // Before first data point if (!upperPoint) upperPoint = dataSeries[dataSeries.length – 1]; // After last data point if (lowerPoint.age === upperPoint.age) { // Exact age match return calculatePercentileFromValues(measurement, lowerPoint.p3, lowerPoint.p50, lowerPoint.p97); } else { // Interpolate var ageDiff = upperPoint.age – lowerPoint.age; var weightDiff = upperPoint.p50 – lowerPoint.p50; // Interpolate based on P50 var p3Diff = upperPoint.p3 – lowerPoint.p3; var p97Diff = upperPoint.p97 – lowerPoint.p97; var interpolatedP50 = lowerPoint.p50 + (weightDiff / ageDiff) * (age – lowerPoint.age); var interpolatedP3 = lowerPoint.p3 + (p3Diff / ageDiff) * (age – lowerPoint.age); var interpolatedP97 = lowerPoint.p97 + (p97Diff / ageDiff) * (age – lowerPoint.age); return calculatePercentileFromValues(measurement, interpolatedP3, interpolatedP50, interpolatedP97); } }; var calculatePercentileFromValues = function(value, p3, p50, p97) { // Very basic approximation: if below p3, assume low percentile; if above p97, assume high. // Linear interpolation between 3, 50, 97 is complex without a proper stats model (like LMS). // This is illustrative. A real tool would use WHO's statistical tables. if (value < p3) return Math.max(0, Math.round(((value – p3) / (p3 * 0.8)) * 3)); // Rough extrapolation below P3 if (value < p50) return Math.max(3, Math.round(3 + ((value – p3) / (p50 – p3)) * 47)); // Between P3 and P50 if (value = p97) return Math.min(100, Math.round(97 + ((value – p97) / (p97 * 0.5)) * 3)); // Rough extrapolation above P97 return 50; // Default if something goes wrong }; var weightP = Math.round(getPercentile(age, weight, weightData)); var lengthP = Math.round(getPercentile(age, length, lengthData)); var headP = Math.round(getPercentile(age, headCircumference, headCircData)); // Ensure percentiles are within 0-100 weightP = Math.max(0, Math.min(100, weightP)); lengthP = Math.max(0, Math.min(100, lengthP)); headP = Math.max(0, Math.min(100, headP)); return { weightP: weightP, lengthP: lengthP, headP: headP }; } function showError(inputElement, message) { var errorDiv = inputElement.parentNode.querySelector(".error-message"); if (errorDiv) { errorDiv.textContent = message; errorDiv.style.display = "block"; } inputElement.style.borderColor = "#dc3545"; } function clearErrors() { var inputs = document.querySelectorAll(".loan-calc-container input"); inputs.forEach(function(input) { input.style.borderColor = "#ccc"; var errorDiv = input.parentNode.querySelector(".error-message"); if (errorDiv) { errorDiv.style.display = "none"; } }); } function setResults(primary, weightP, lengthP, headP) { document.getElementById("primaryResult").innerHTML = "" + primary + "Your baby girl's estimated percentile."; document.getElementById("weightPercentile").textContent = weightP; document.getElementById("lengthPercentile").textContent = lengthP; document.getElementById("headCircumferencePercentile").textContent = headP; } function resetCalculator() { document.getElementById("ageInMonths").value = "6"; document.getElementById("weightKg").value = "7.8"; document.getElementById("lengthCm").value = "72.1"; document.getElementById("headCircumferenceCm").value = "45.7"; clearErrors(); calculateBabyWeight(); // Recalculate with default values } function copyResults() { var primaryResultEl = document.getElementById("primaryResult").querySelector("strong"); var weightPercentileEl = document.getElementById("weightPercentile"); var lengthPercentileEl = document.getElementById("lengthPercentile"); var headCircumferencePercentileEl = document.getElementById("headCircumferencePercentile"); var ageInput = document.getElementById("ageInMonths"); var weightInput = document.getElementById("weightKg"); var lengthInput = document.getElementById("lengthCm"); var headCircumferenceInput = document.getElementById("headCircumferenceCm"); var primaryText = primaryResultEl ? primaryResultEl.textContent : "N/A"; var weightText = weightPercentileEl ? weightPercentileEl.textContent : "N/A"; var lengthText = lengthPercentileEl ? lengthPercentileEl.textContent : "N/A"; var headText = headCircumferencePercentileEl ? headCircumferencePercentileEl.textContent : "N/A"; var ageVal = ageInput.value || "N/A"; var weightVal = weightInput.value || "N/A"; var lengthVal = lengthInput.value || "N/A"; var headVal = headCircumferenceInput.value || "N/A"; var copyText = "Baby Girl Growth Percentiles:\n\n"; copyText += "— Measurements —\n"; copyText += "Age: " + ageVal + " months\n"; copyText += "Weight: " + weightVal + " kg\n"; copyText += "Length: " + lengthVal + " cm\n"; copyText += "Head Circumference: " + headVal + " cm\n\n"; copyText += "— Calculated Percentiles —\n"; copyText += "Overall Assessment: " + primaryText + "\n"; copyText += "Weight Percentile: " + weightText + "\n"; copyText += "Length Percentile: " + lengthText + "\n"; copyText += "Head Circumference Percentile: " + headText + "\n\n"; copyText += "Based on WHO growth standards."; navigator.clipboard.writeText(copyText).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 Logic function updateChart(age, weight, length) { var ctx = document.getElementById('growthChart').getContext('2d'); // Destroy previous chart instance if it exists if (chartInstance) { chartInstance.destroy(); } // Prepare data for the chart. We'll plot a few WHO standard curves (P3, P50, P97 for weight and length) // and the user's input point. var chartAges = [0, 3, 6, 9, 12, 18, 24]; var p3Weight = [2.6, 4.7, 6.4, 7.7, 8.6, 9.7, 10.5]; var p50Weight = [3.5, 6.0, 7.8, 9.2, 10.1, 11.2, 12.1]; var p97Weight = [4.9, 8.0, 9.9, 11.6, 12.7, 13.9, 15.0]; var p3Length = [45.5, 58.1, 65.9, 71.1, 75.2, 80.9, 85.7]; var p50Length = [49.8, 64.0, 72.1, 77.2, 81.2, 86.4, 91.1]; var p97Length = [54.0, 70.0, 78.2, 83.5, 87.6, 93.0, 98.2]; // User's data point var userPoint = { x: age, yWeight: weight, yLength: length }; chartInstance = new Chart(ctx, { type: 'line', data: { labels: chartAges, datasets: [ // User Input Line (optional, or just a point) // For simplicity, let's just plot the point for now if valid data exists { label: 'Your Baby\'s Weight', data: age && weight ? [{x: age, y: weight}] : [], borderColor: '#004a99', backgroundColor: '#004a99', type: 'scatter', // Show as a point pointRadius: 7, pointHoverRadius: 10, showLine: false // Don't draw a line, just the point }, { label: 'Your Baby\'s Length', data: age && length ? [{x: age, y: length}] : [], borderColor: '#28a745', backgroundColor: '#28a745', type: 'scatter', pointRadius: 7, pointHoverRadius: 10, showLine: false }, // WHO Standards { label: 'WHO P3 Weight', data: p3Weight.map((val, i) => ({x: chartAges[i], y: val})), borderColor: 'rgba(255, 99, 132, 0.5)', backgroundColor: 'rgba(255, 99, 132, 0.2)', fill: false, tension: 0.1 }, { label: 'WHO P50 Weight', data: p50Weight.map((val, i) => ({x: chartAges[i], y: val})), borderColor: 'rgba(54, 162, 235, 0.5)', backgroundColor: 'rgba(54, 162, 235, 0.2)', fill: false, tension: 0.1 }, { label: 'WHO P97 Weight', data: p97Weight.map((val, i) => ({x: chartAges[i], y: val})), borderColor: 'rgba(255, 206, 86, 0.5)', backgroundColor: 'rgba(255, 206, 86, 0.2)', fill: false, tension: 0.1 }, { label: 'WHO P3 Length', data: p3Length.map((val, i) => ({x: chartAges[i], y: val})), borderColor: 'rgba(75, 192, 192, 0.5)', backgroundColor: 'rgba(75, 192, 192, 0.2)', fill: false, tension: 0.1, borderDash: [5, 5] // Dashed line for length }, { label: 'WHO P50 Length', data: p50Length.map((val, i) => ({x: chartAges[i], y: val})), borderColor: 'rgba(153, 102, 255, 0.5)', backgroundColor: 'rgba(153, 102, 255, 0.2)', fill: false, tension: 0.1, borderDash: [5, 5] }, { label: 'WHO P97 Length', data: p97Length.map((val, i) => ({x: chartAges[i], y: val})), borderColor: 'rgba(255, 159, 64, 0.5)', backgroundColor: 'rgba(255, 159, 64, 0.2)', fill: false, tension: 0.1, borderDash: [5, 5] } ] }, options: { responsive: true, maintainAspectRatio: true, scales: { x: { type: 'linear', position: 'bottom', title: { display: true, text: 'Age (Months)' }, min: 0, max: 24 }, y: { title: { display: true, text: 'Weight (kg) / Length (cm)' }, ticks: { callback: function(value, index, ticks) { // Attempt to create a combined y-axis or show relevant range // This is tricky as scales differ significantly. // For simplicity, we'll show the weight scale and note length is overlaid. return value.toFixed(1); } } } }, plugins: { tooltip: { callbacks: { label: function(context) { var label = context.dataset.label || "; if (label) { label += ': '; } if (context.parsed.y !== null) { label += context.parsed.y.toFixed(1); if (context.dataset.label.includes('Length')) { label += ' cm'; } else { label += ' kg'; } } return label; } } }, legend: { position: 'top', } }, interaction: { mode: 'index', intersect: false, }, } }); } // Initialize calculator on load window.onload = function() { resetCalculator(); // Set default values and calculate // Initialize chart with empty canvas or placeholder data var canvas = document.getElementById('growthChart'); if (canvas) { var ctx = canvas.getContext('2d'); // Create an empty chart initially or with placeholder data chartInstance = new Chart(ctx, { type: 'line', data: { datasets: [] }, options: { scales: { x: { min: 0, max: 24, title: { display: true, text: 'Age (Months)' } }, y: { title: { display: true, text: 'Measurement (kg/cm)' } } }, plugins: { legend: { display: false } } } }); } };

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