Calculation Weighted Average Lease Term

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Weighted Average Lease Term (WALT) Calculator

Calculate Your WALT

WALT Results

Total Weighted Rent:
Total Annual Rent:
Number of Leases:
Formula: The Weighted Average Lease Term (WALT) is calculated by summing the product of each lease's annual rent and its remaining term, and then dividing by the total annual rent of all leases.

WALT = Σ (Annual Renti * Lease Termi) / Σ (Annual Renti)

Where 'i' represents each individual lease.
Results copied!

Lease Term Distribution

Visualizing the distribution of lease terms across your portfolio by weighted rent.

Rent vs. Term Breakdown

A visual comparison of individual lease terms and their corresponding annual rents.

What is Weighted Average Lease Term (WALT)?

The Weighted Average Lease Term, commonly known as WALT, is a critical financial metric used primarily in commercial real estate to assess the average duration of leases within a property or portfolio, weighted by the rental income they generate. It goes beyond a simple average by giving more significance to leases that contribute more to the total rental income. This provides a more accurate picture of income stability and the potential risk associated with lease expirations. Understanding your Weighted Average Lease Term is crucial for strategic property management, investment analysis, and financial forecasting.

Who should use it: Property owners, real estate investors, asset managers, portfolio managers, and financial analysts involved in commercial real estate. It's particularly valuable for large portfolios or properties with diverse lease structures.

Common misconceptions:

  • WALT is the same as a simple average lease term. (Incorrect: WALT is weighted by rent, providing a different perspective.)
  • A high WALT always means low risk. (Not necessarily: A long WALT with a few large leases expiring simultaneously can still pose significant risk.)
  • WALT is only relevant for retail properties. (Incorrect: It's applicable to office, industrial, multi-family, and mixed-use commercial properties.)

Weighted Average Lease Term (WALT) Formula and Mathematical Explanation

The calculation of WALT provides a sophisticated view of lease durations. It accounts for the financial impact of each lease, making it a more robust indicator than a simple average. The core idea is to understand how much of your income stream is secured by leases of varying lengths.

Step-by-step derivation:

  1. Identify all leases: List every individual lease agreement within the property or portfolio.
  2. Determine remaining lease term: For each lease, find the number of years remaining until expiration.
  3. Determine annual rent: For each lease, find the current annual rental income it generates.
  4. Calculate the "weighted" term for each lease: Multiply the remaining lease term (in years) by the annual rent for that specific lease. This step quantifies the contribution of each lease's duration to the total income.
  5. Sum the weighted terms: Add up the results from step 4 for all leases. This gives you the total weighted lease term contribution.
  6. Sum the total annual rent: Add up the annual rent from all individual leases. This represents the total current rental income.
  7. Calculate WALT: Divide the sum of the weighted terms (from step 5) by the sum of the total annual rent (from step 6).

The result is your Weighted Average Lease Term in years.

Variable Explanations:

Variable Meaning Unit Typical Range
Lease Termi Remaining duration of the i-th lease agreement. Years 0.5 – 20+ years
Annual Renti The total rent generated by the i-th lease agreement over a one-year period. Currency (e.g., USD) Variable, depends on property size, location, and market rates.
WALT The weighted average of the remaining lease terms across all leases, adjusted for their rental income contribution. Years 0.5 – 20+ years (reflects lease terms)

Practical Examples (Real-World Use Cases)

Let's illustrate the Weighted Average Lease Term calculation with two distinct scenarios:

Example 1: Small Retail Strip Mall

A property owner manages a small strip mall with three tenants:

  • Tenant A: $60,000 annual rent, 5 years remaining lease term.
  • Tenant B: $40,000 annual rent, 3 years remaining lease term.
  • Tenant C: $30,000 annual rent, 8 years remaining lease term.

Calculation:

  • Tenant A weighted term: $60,000 * 5 years = $300,000
  • Tenant B weighted term: $40,000 * 3 years = $120,000
  • Tenant C weighted term: $30,000 * 8 years = $240,000
  • Total Weighted Rent: $300,000 + $120,000 + $240,000 = $660,000
  • Total Annual Rent: $60,000 + $40,000 + $30,000 = $130,000
  • WALT = $660,000 / $130,000 = 5.08 years

Financial Interpretation: The WALT of approximately 5.08 years indicates that, on average, the income streams from these leases are secured for just over 5 years. Tenant A, with the highest rent, has a significant influence on this WALT. The owner might see this as a moderate stability, with a cluster of expirations around the 3-5 year mark and a longer-term lease providing some cushion.

Example 2: Mid-Size Office Building

An asset manager oversees an office building with four major tenants:

  • Tenant X: $250,000 annual rent, 7 years remaining lease term.
  • Tenant Y: $150,000 annual rent, 4 years remaining lease term.
  • Tenant Z: $100,000 annual rent, 10 years remaining lease term.
  • Tenant W: $50,000 annual rent, 2 years remaining lease term.

Calculation:

  • Tenant X weighted term: $250,000 * 7 years = $1,750,000
  • Tenant Y weighted term: $150,000 * 4 years = $600,000
  • Tenant Z weighted term: $100,000 * 10 years = $1,000,000
  • Tenant W weighted term: $50,000 * 2 years = $100,000
  • Total Weighted Rent: $1,750,000 + $600,000 + $1,000,000 + $100,000 = $3,450,000
  • Total Annual Rent: $250,000 + $150,000 + $100,000 + $50,000 = $550,000
  • WALT = $3,450,000 / $550,000 = 6.27 years

Financial Interpretation: The WALT of approximately 6.27 years suggests a relatively stable income stream. Tenant X and Z, with longer terms and higher rents, significantly influence this WALT. However, the presence of Tenant W with a short remaining term (2 years) represents a nearer-term risk that needs proactive management. This WALT helps in assessing the overall lease maturity profile and potential rollover risk.

How to Use This Weighted Average Lease Term Calculator

Our WALT calculator is designed for simplicity and accuracy, helping you quickly gauge the lease maturity of your commercial real estate assets.

  1. Add Lease Entries: Click "Add Another Lease" to create input fields for each tenant or lease agreement in your property.
  2. Input Lease Details: For each lease, carefully enter:
    • Lease Term (Years): The number of years remaining on the lease agreement.
    • Annual Rent ($): The total amount of rent the tenant pays per year.
  3. Validate Inputs: The calculator will perform inline validation. Ensure all fields are filled with positive numbers. Error messages will appear below any incorrect entries.
  4. Calculate WALT: Once all lease details are entered, click the "Calculate WALT" button.
  5. Review Results: The primary result (WALT in years) will be displayed prominently. You'll also see intermediate values: Total Weighted Rent, Total Annual Rent, and the Number of Leases calculated.
  6. Interpret the Data: Use the WALT figure and the supporting data to understand your portfolio's stability. A higher WALT generally indicates greater income security over a longer period.
  7. Visualize Trends: Examine the generated chart and table to understand the distribution of your leases and identify potential concentrations of lease expirations.
  8. Copy Information: Use the "Copy Results" button to easily transfer the calculated WALT, intermediate values, and key assumptions to reports or other documents.
  9. Reset: Click "Reset" to clear all fields and start over.

Decision-making Guidance: A lower WALT might prompt strategies like tenant retention efforts, renegotiating lease terms, or exploring diversification. A high WALT offers stability but requires planning for future market shifts and potential vacancies when leases do eventually expire. The visual charts help pinpoint risks, such as a large portion of rent coming from leases expiring around the same time, even if the overall WALT appears favorable.

Key Factors That Affect Weighted Average Lease Term Results

Several elements significantly influence the calculated WALT and its interpretation:

  1. Lease Expiration Dates: The most direct factor. Leases nearing expiration reduce the overall WALT, while long-dated leases increase it.
  2. Rental Income (Weighting Factor): Leases with higher annual rents have a disproportionately larger impact on the WALT. A long lease with low rent contributes less to the weighted average than a shorter lease with high rent. This highlights the importance of tenant financial strength and lease value.
  3. Tenant Diversification: A portfolio heavily reliant on one or two large tenants with long leases might have a high WALT, but this concentrates risk. If those tenants leave, the impact is magnified. Diversifying tenant base and lease lengths mitigates this.
  4. Market Conditions: Prevailing rental rates and demand influence future lease renewals and new lease terms. A strong market may allow for higher rents and longer lease terms upon renewal, potentially increasing WALT over time. Conversely, a weak market might lead to shorter terms or concessions.
  5. Lease Clauses and Options: Renewal options, early termination clauses, or rent escalation schedules embedded within leases can affect the perceived and actual remaining lease term and value, indirectly influencing WALT analysis.
  6. Property Type and Location: Different property types (office, retail, industrial) and locations command different lease terms and rental rates, inherently affecting the WALT profile. For instance, single-tenant industrial properties might have very long WALT compared to short-term retail leases.
  7. Economic Factors: Broader economic trends, inflation rates, and interest rate changes can impact tenant demand, their ability to pay rent, and their willingness to commit to long-term leases, thus indirectly influencing WALT.

Frequently Asked Questions (FAQ)

Q1: What is a "good" WALT?

A: There's no universal "good" WALT; it depends on the property type, market, and investor risk tolerance. Generally, a higher WALT suggests more income stability. However, a very high WALT concentrated on a few tenants can be risky. A common benchmark for stable office buildings might be 5-7 years, but this varies significantly.

Q2: How is WALT different from Weighted Average Maturity (WAM)?

A: WAM is typically used for debt instruments (like bonds or loans) and weights payment obligations by their time to maturity. WALT is specific to real estate leases and weights lease terms by the rental income they generate.

Q3: Should I include options in the lease term calculation?

A: It depends on your analysis. Typically, WALT is calculated based on the *current* non-cancellable term. However, for strategic planning, you might analyze scenarios including reasonably assured options. Our calculator uses the stated remaining term.

Q4: What if a lease has variable rent?

A: For WALT calculation, use the projected or current annual rent. If rent escalates significantly, using the average annual rent over the remaining term or the rent in the first year are common approaches. Consistency is key.

Q5: How often should I recalculate WALT?

A: Recalculate WALT periodically, especially after lease renewals, new lease signings, or significant market shifts. Quarterly or annually is common for active portfolio management.

Q6: Can WALT be negative?

A: No, WALT cannot be negative. Lease terms and annual rents are positive values. The lowest possible WALT approaches zero if all leases are extremely short-term and generate minimal rent.

Q7: Does WALT account for tenant credit risk?

A: Not directly. WALT measures the average time horizon of income, not the likelihood of receiving that income. A high WALT with financially weak tenants is precarious. Credit analysis should be performed separately.

Q8: How does WALT help in property valuation?

A: A higher WALT generally implies lower perceived risk and more predictable cash flow, which can positively influence a property's valuation. Investors often favor properties with longer WALTs.

var leaseCounter = 1; function validateInput(input, minValue, maxValue) { var errorElement = document.getElementById(input.id + '_error'); var value = parseFloat(input.value); var isValid = true; if (isNaN(value)) { errorElement.textContent = 'Please enter a valid number.'; input.classList.add('error-highlight'); isValid = false; } else { if (minValue !== null && value maxValue) { errorElement.textContent = 'Value cannot be greater than ' + maxValue + '.'; input.classList.add('error-highlight'); isValid = false; } else { errorElement.textContent = "; input.classList.remove('error-highlight'); } } return isValid; } function addLeaseEntry() { var leaseEntriesDiv = document.getElementById('leaseEntries'); var newEntryId = 'lease-entry-' + leaseCounter; var leaseTermId = 'leaseTerm_' + leaseCounter; var annualRentId = 'annualRent_' + leaseCounter; var leaseTermErrorId = leaseTermId + '_error'; var annualRentErrorId = annualRentId + '_error'; var newEntryHtml = `
`; leaseEntriesDiv.insertAdjacentHTML('beforeend', newEntryHtml); leaseCounter++; } function removeLastLeaseEntry() { var leaseEntriesDiv = document.getElementById('leaseEntries'); var entries = leaseEntriesDiv.querySelectorAll('.lease-entry'); if (entries.length > 1) { leaseEntriesDiv.removeChild(entries[entries.length – 1]); leaseCounter–; // Decrement counter as we removed an entry } else { alert('You must have at least one lease entry.'); } } function calculateWALT() { var totalWeightedRent = 0; var totalAnnualRent = 0; var leaseCount = 0; var allInputsValid = true; var leaseData = []; var leaseEntries = document.querySelectorAll('#leaseEntries .lease-entry'); leaseEntries.forEach(function(entry, index) { var termInput = document.getElementById('leaseTerm_' + index); var rentInput = document.getElementById('annualRent_' + index); var termError = document.getElementById('leaseTerm_' + index + '_error'); var rentError = document.getElementById('annualRent_' + index + '_error'); var leaseTerm = parseFloat(termInput.value); var annualRent = parseFloat(rentInput.value); // Re-validate inputs before calculation var isTermValid = validateInput(termInput, 1, null); var isRentValid = validateInput(rentInput, 0, null); if (!isTermValid || !isRentValid) { allInputsValid = false; } else { totalWeightedRent += leaseTerm * annualRent; totalAnnualRent += annualRent; leaseCount++; leaseData.push({ term: leaseTerm, rent: annualRent, weight: annualRent }); } }); if (allInputsValid && leaseCount > 0) { var walt = totalAnnualRent === 0 ? 0 : totalWeightedRent / totalAnnualRent; document.getElementById('primaryResult').textContent = walt.toFixed(2) + ' Years'; document.getElementById('totalWeightedRent').textContent = '$' + totalWeightedRent.toLocaleString(undefined, { minimumFractionDigits: 0, maximumFractionDigits: 0 }); document.getElementById('totalAnnualRent').textContent = '$' + totalAnnualRent.toLocaleString(undefined, { minimumFractionDigits: 0, maximumFractionDigits: 0 }); document.getElementById('numberOfLeases').textContent = leaseCount; updateChart(leaseData); updateSvgChart(leaseData); } else { document.getElementById('primaryResult').textContent = 'Error'; document.getElementById('totalWeightedRent').textContent = '–'; document.getElementById('totalAnnualRent').textContent = '–'; document.getElementById('numberOfLeases').textContent = '–'; // Clear chart if inputs are invalid var ctx = document.getElementById('leaseTermChart').getContext('2d'); ctx.clearRect(0, 0, ctx.canvas.width, ctx.canvas.height); document.getElementById('rentTermSvg').innerHTML = "; // Clear SVG } } function resetCalculator() { document.getElementById('leaseEntries').innerHTML = `
`; leaseCounter = 1; document.getElementById('primaryResult').textContent = '–'; document.getElementById('totalWeightedRent').textContent = '–'; document.getElementById('totalAnnualRent').textContent = '–'; document.getElementById('numberOfLeases').textContent = '–'; // Clear errors var inputs = document.querySelectorAll('.lease-input'); inputs.forEach(function(input) { input.classList.remove('error-highlight'); var errorElement = document.getElementById(input.id + '_error'); if (errorElement) errorElement.textContent = "; }); // Clear chart var ctx = document.getElementById('leaseTermChart').getContext('2d'); ctx.clearRect(0, 0, ctx.canvas.width, ctx.canvas.height); document.getElementById('rentTermSvg').innerHTML = "; // Clear SVG } function copyResults() { var primaryResult = document.getElementById('primaryResult').textContent; var totalWeightedRent = document.getElementById('totalWeightedRent').textContent; var totalAnnualRent = document.getElementById('totalAnnualRent').textContent; var numberOfLeases = document.getElementById('numberOfLeases').textContent; if (primaryResult === '–') { alert('No results to copy yet.'); return; } var assumptions = "Key Assumptions:\n"; var leaseEntries = document.querySelectorAll('#leaseEntries .lease-entry'); leaseEntries.forEach(function(entry, index) { var termInput = document.getElementById('leaseTerm_' + index); var rentInput = document.getElementById('annualRent_' + index); assumptions += `- Lease ${index + 1}: Term = ${termInput.value || 'N/A'} years, Rent = $${rentInput.value || 'N/A'}/year\n`; }); var textToCopy = `Weighted Average Lease Term (WALT) Calculator Results: Main Result: ${primaryResult} Total Weighted Rent: ${totalWeightedRent} Total Annual Rent: ${totalAnnualRent} Number of Leases: ${numberOfLeases} ${assumptions} Formula: WALT = Σ (Annual Rentᵢ * Lease Termᵢ) / Σ (Annual Rentᵢ) `; navigator.clipboard.writeText(textToCopy).then(function() { var copyMessage = document.getElementById('copyMessage'); copyMessage.style.display = 'block'; setTimeout(function() { copyMessage.style.display = 'none'; }, 3000); }).catch(function(err) { console.error('Failed to copy text: ', err); alert('Failed to copy results. Please copy manually.'); }); } // — Charting Logic — // Canvas Chart (Bar Chart for Lease Term Distribution by Weighted Rent) var leaseTermChartInstance = null; function updateChart(leaseData) { var ctx = document.getElementById('leaseTermChart').getContext('2d'); // Destroy previous chart instance if it exists if (leaseTermChartInstance) { leaseTermChartInstance.destroy(); } var labels = leaseData.map(function(data, index) { return 'Lease ' + (index + 1); }); var terms = leaseData.map(function(data) { return data.term; }); var rents = leaseData.map(function(data) { return data.rent; }); leaseTermChartInstance = new Chart(ctx, { type: 'bar', data: { labels: labels, datasets: [{ label: 'Lease Term (Years)', data: terms, backgroundColor: 'rgba(0, 74, 153, 0.6)', // Primary Blue borderColor: 'rgba(0, 74, 153, 1)', borderWidth: 1, yAxisID: 'y-axis-term' }, { label: 'Annual Rent ($)', data: rents, backgroundColor: 'rgba(40, 167, 69, 0.6)', // Success Green borderColor: 'rgba(40, 167, 69, 1)', borderWidth: 1, yAxisID: 'y-axis-rent' }] }, options: { responsive: true, maintainAspectRatio: false, scales: { x: { title: { display: true, text: 'Lease Identifier' } }, 'y-axis-term': { type: 'linear', position: 'left', title: { display: true, text: 'Lease Term (Years)' }, beginAtZero: true }, 'y-axis-rent': { type: 'linear', position: 'right', title: { display: true, text: 'Annual Rent ($)' }, beginAtZero: true, grid: { drawOnChartArea: false, // only want the grid lines for one axis to show up } } }, plugins: { tooltip: { callbacks: { label: function(context) { var label = context.dataset.label || "; if (label) { label += ': '; } if (context.parsed.y !== null) { if (context.dataset.label === 'Annual Rent ($)') { label += new Intl.NumberFormat('en-US', { style: 'currency', currency: 'USD' }).format(context.parsed.y); } else { label += context.parsed.y + ' Years'; } } return label; } } } } } }); } // SVG Chart (Scatter Plot for Rent vs. Term) function updateSvgChart(leaseData) { var svgNS = "http://www.w3.org/2000/svg"; var svgContainer = document.getElementById('rentTermSvg'); svgContainer.innerHTML = "; // Clear previous SVG content if (leaseData.length === 0) return; var svgWidth = svgContainer.clientWidth; var svgHeight = svgContainer.clientHeight; var margin = { top: 20, right: 30, bottom: 50, left: 60 }; var chartWidth = svgWidth – margin.left – margin.right; var chartHeight = svgHeight – margin.top – margin.bottom; // Determine scales var maxTerm = Math.max(…leaseData.map(d => d.term)); var maxRent = Math.max(…leaseData.map(d => d.rent)); var scaleX = chartWidth / maxTerm; var scaleY = chartHeight / maxRent; // Add main chart group var chartGroup = document.createElementNS(svgNS, "g"); chartGroup.setAttribute("transform", "translate(" + margin.left + "," + margin.top + ")"); svgContainer.appendChild(chartGroup); // Add Axes // X-Axis var xAxis = document.createElementNS(svgNS, "g"); xAxis.setAttribute("transform", "translate(0," + chartHeight + ")"); var xTicks = Math.min(maxTerm, 5); // Limit ticks for readability for (var i = 0; i <= xTicks; i++) { var tickValue = (maxTerm / xTicks) * i; var tickX = tickValue * scaleX; var line = document.createElementNS(svgNS, "line"); line.setAttribute("x1", tickX); line.setAttribute("x2", tickX); line.setAttribute("y1", 0); line.setAttribute("y2", 5); line.setAttribute("stroke", "#ccc"); xAxis.appendChild(line); var text = document.createElementNS(svgNS, "text"); text.setAttribute("x", tickX); text.setAttribute("y", 15); text.setAttribute("text-anchor", "middle"); text.setAttribute("fill", "#555"); text.textContent = tickValue.toFixed(1); xAxis.appendChild(text); } var xLabel = document.createElementNS(svgNS, "text"); xLabel.setAttribute("x", chartWidth / 2); xLabel.setAttribute("y", chartHeight + margin.bottom – 10); xLabel.setAttribute("text-anchor", "middle"); xLabel.setAttribute("font-weight", "bold"); xLabel.setAttribute("fill", "#004a99"); xLabel.textContent = "Lease Term (Years)"; xAxis.appendChild(xLabel); chartGroup.appendChild(xAxis); // Y-Axis var yAxis = document.createElementNS(svgNS, "g"); var yTicks = Math.min(maxRent, 5); // Limit ticks for (var i = 0; i <= yTicks; i++) { var tickValue = (maxRent / yTicks) * i; var tickY = chartHeight – (tickValue * scaleY); var line = document.createElementNS(svgNS, "line"); line.setAttribute("x1", -5); line.setAttribute("x2", 0); line.setAttribute("y1", tickY); line.setAttribute("y2", tickY); line.setAttribute("stroke", "#ccc"); yAxis.appendChild(line); var text = document.createElementNS(svgNS, "text"); text.setAttribute("x", -10); text.setAttribute("y", tickY + 5); text.setAttribute("text-anchor", "end"); text.setAttribute("fill", "#555"); text.textContent = "$" + tickValue.toLocaleString(undefined, { maximumFractionDigits: 0 }); yAxis.appendChild(text); } var yLabel = document.createElementNS(svgNS, "text"); yLabel.setAttribute("transform", "rotate(-90)"); yLabel.setAttribute("x", 0 – (chartHeight / 2)); yLabel.setAttribute("y", 0 – margin.left + 15); yLabel.setAttribute("text-anchor", "middle"); yLabel.setAttribute("font-weight", "bold"); yLabel.setAttribute("fill", "#004a99"); yLabel.textContent = "Annual Rent ($)"; yAxis.appendChild(yLabel); chartGroup.appendChild(yAxis); // Add points leaseData.forEach(function(data, index) { var circle = document.createElementNS(svgNS, "circle"); var cx = data.term * scaleX; var cy = chartHeight – (data.rent * scaleY); circle.setAttribute("cx", cx); circle.setAttribute("cy", cy); circle.setAttribute("r", 6); circle.setAttribute("fill", "rgba(0, 74, 153, 0.7)"); // Primary Blue circle.setAttribute("stroke", "#004a99"); circle.setAttribute("stroke-width", 2); // Tooltip functionality var title = "Lease " + (index + 1); var tooltipText = title + "\nTerm: " + data.term + " years\nRent: $" + data.rent.toLocaleString(); circle.setAttribute("data-tooltip", tooltipText); chartGroup.appendChild(circle); }); // Add tooltips (simple hover effect) var tooltip = document.createElementNS(svgNS, "g"); tooltip.setAttribute("id", "svg-tooltip"); tooltip.setAttribute("style", "display: none;"); var tooltipRect = document.createElementNS(svgNS, "rect"); tooltipRect.setAttribute("fill", "black"); tooltipRect.setAttribute("rx", "4"); tooltipRect.setAttribute("ry", "4"); tooltip.appendChild(tooltipRect); var tooltipTextElem = document.createElementNS(svgNS, "text"); tooltipTextElem.setAttribute("fill", "white"); tooltipTextElem.setAttribute("font-size", "12px"); tooltipTextElem.setAttribute("text-anchor", "middle"); tooltip.appendChild(tooltipTextElem); svgContainer.appendChild(tooltip); svgContainer.addEventListener("mousemove", function(event) { var target = event.target; if (target.tagName === "circle") { var tooltipContent = target.getAttribute("data-tooltip"); if (tooltipContent) { tooltipTextElem.textContent = tooltipContent.split('\n').join('\n'); // Handle newlines var bbox = tooltipTextElem.getBBox(); tooltipRect.setAttribute("width", bbox.width + 10); tooltipRect.setAttribute("height", bbox.height + 10); tooltipRect.setAttribute("x", bbox.x – 5); tooltipRect.setAttribute("y", bbox.y – 5); // Position tooltip near the cursor var x = event.offsetX + 10; var y = event.offsetY – 10; tooltip.setAttribute("transform", "translate(" + x + "," + y + ")"); tooltip.style.display = "block"; } } else { tooltip.style.display = "none"; } }); svgContainer.addEventListener("mouseout", function() { tooltip.style.display = "none"; }); } // Initial setup document.addEventListener('DOMContentLoaded', function() { resetCalculator(); // Set default values on load // Ensure chart is rendered on load if there are default values calculateWALT(); });

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