Calculating Weighted Scores Excel

Excel Weighted Scores Calculator: Calculate & Analyze body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; line-height: 1.6; margin: 0; padding: 0; background-color: #f8f9fa; color: #333; } .container { max-width: 1000px; margin: 30px auto; padding: 20px; background-color: #fff; box-shadow: 0 2px 10px rgba(0, 0, 0, 0.05); border-radius: 8px; } header { text-align: center; padding-bottom: 20px; border-bottom: 1px solid #eee; } h1 { color: #004a99; margin-bottom: 10px; } .lead-paragraph { font-size: 1.1em; color: #555; } .loan-calc-container { margin-top: 30px; padding: 25px; border: 1px solid #e0e0e0; border-radius: 8px; background-color: #fdfdfd; } .input-group { margin-bottom: 20px; position: relative; } .input-group label { display: block; margin-bottom: 8px; font-weight: 500; color: #004a99; } .input-group input[type="number"], .input-group select { width: calc(100% – 24px); padding: 12px; border: 1px solid #ccc; border-radius: 4px; font-size: 1em; box-sizing: border-box; } .input-group select { cursor: pointer; } .input-group .helper-text { font-size: 0.85em; color: #666; margin-top: 5px; display: block; } .error-message { color: #dc3545; font-size: 0.85em; margin-top: 5px; display: none; /* Hidden by default */ } .button-group { text-align: center; margin-top: 30px; } .btn { padding: 12px 25px; border: none; border-radius: 5px; cursor: pointer; font-size: 1em; font-weight: 500; margin: 0 10px; transition: background-color 0.3s ease, transform 0.2s ease; box-shadow: 0 2px 5px rgba(0, 0, 0, 0.1); } .btn-primary { background-color: #004a99; color: white; } .btn-primary:hover { background-color: #003366; transform: translateY(-1px); } .btn-secondary { background-color: #6c757d; color: white; } .btn-secondary:hover { background-color: #5a6268; transform: translateY(-1px); } .btn-success { background-color: #28a745; color: white; } .btn-success:hover { background-color: #218838; transform: translateY(-1px); } #results { margin-top: 30px; padding: 25px; background-color: #e7f3ff; border: 1px solid #b3d7ff; border-radius: 8px; text-align: center; } #results h3 { color: #004a99; margin-bottom: 15px; } .main-result { font-size: 2.2em; font-weight: bold; color: #28a745; background-color: #ffffff; padding: 15px 25px; border-radius: 6px; display: inline-block; margin-bottom: 20px; box-shadow: 0 4px 8px rgba(40, 167, 69, 0.2); } .intermediate-results div { margin-bottom: 10px; font-size: 1.1em; color: #0056b3; } .formula-explanation { font-size: 0.9em; color: #555; margin-top: 15px; padding-top: 15px; border-top: 1px dashed #ccc; } table { width: 100%; border-collapse: collapse; margin-top: 30px; } th, td { padding: 12px 15px; text-align: left; border-bottom: 1px solid #ddd; } th { background-color: #004a99; color: white; font-weight: 500; } tr:nth-child(even) { background-color: #f2f2f2; } caption { font-size: 1.1em; font-weight: bold; color: #004a99; margin-bottom: 15px; caption-side: top; text-align: left; } #chartContainer { margin-top: 30px; padding: 20px; background-color: #fff; border-radius: 8px; box-shadow: 0 2px 5px rgba(0,0,0,0.05); } #chartContainer canvas { max-width: 100%; height: auto; } .chart-caption { font-size: 0.9em; color: #666; text-align: center; margin-top: 10px; } section { margin-top: 40px; padding-top: 30px; border-top: 1px solid #eee; } h2, h3 { color: #004a99; margin-bottom: 15px; } h2 { font-size: 1.8em; border-bottom: 2px solid #004a99; padding-bottom: 8px; } h3 { font-size: 1.4em; } article p { margin-bottom: 15px; } article ul, article ol { margin-left: 20px; margin-bottom: 15px; } article li { margin-bottom: 8px; } .faq-list .question { font-weight: bold; color: #004a99; margin-top: 15px; margin-bottom: 5px; } .faq-list .answer { margin-left: 10px; color: #444; } .internal-links { background-color: #eef7ff; padding: 20px; border-radius: 8px; border: 1px solid #cce5ff; } .internal-links h3 { margin-top: 0; color: #004a99; } .internal-links ul { list-style: none; padding: 0; margin: 0; } .internal-links li { margin-bottom: 10px; } .internal-links a { color: #004a99; text-decoration: none; font-weight: 500; } .internal-links a:hover { text-decoration: underline; } .internal-links p { font-size: 0.9em; color: #555; margin-top: 5px; }

Excel Weighted Scores Calculator

Easily calculate weighted scores for any decision-making process using this powerful Excel-inspired calculator. Assign importance to criteria and see your overall scores.

Weighted Score Calculator Inputs

Enter the total number of criteria you are evaluating (1-10).

Calculation Results

Total Raw Score: —
Total Weighted Score: —
Average Score Per Criterion: —
Formula: Weighted Score = (Criterion Score * Criterion Weight) / 100. Total Weighted Score = Sum of all Weighted Scores.
Comparison of Weighted Scores for Each Criterion
Detailed Scores Per Criterion
Criterion Score (0-10) Weight (%) Weighted Score
Enter criteria and click "Calculate Scores"

What is Calculating Weighted Scores in Excel?

Calculating weighted scores in Excel is a fundamental technique used to prioritize and rank different options or criteria based on their relative importance. Instead of treating all factors equally, a weighted scoring model assigns a numerical value (weight) to each criterion, reflecting how much it contributes to the overall decision. This allows for a more nuanced and objective evaluation, moving beyond simple comparisons to a quantitative assessment of value. For instance, when selecting a new software, factors like 'Cost', 'Features', and 'User Friendliness' might have different weights assigned based on business priorities.

Who Should Use It:

  • Project Managers: For prioritizing projects or tasks.
  • Product Developers: For ranking feature requests or product ideas.
  • Hiring Managers: For evaluating job candidates based on skills and experience.
  • Students: For comparing universities or choosing study programs.
  • Anyone making complex decisions: From personal choices like buying a car to business decisions like choosing a vendor.

Common Misconceptions:

  • All scores are equally important: Weighted scores explicitly counter this by allowing varying levels of importance.
  • It removes all subjectivity: While it quantifies a decision, the assignment of weights and scores still involves human judgment. The goal is to make this judgment more structured and transparent.
  • It's overly complicated for simple decisions: While powerful, the basic weighted score calculation is straightforward and can be applied even to relatively simple choices to add a layer of rigor.

Weighted Scores Formula and Mathematical Explanation

The core idea behind calculating weighted scores is to combine a measure of performance (the score) with a measure of importance (the weight) for each item being evaluated. This is typically done by multiplying the score by its corresponding weight and then summing these products.

The process involves several steps:

  1. Define Criteria: Identify all the factors relevant to your decision.
  2. Assign Weights: Determine the relative importance of each criterion. These weights are usually expressed as percentages that sum up to 100%.
  3. Score Each Option: Assign a score to each option for every criterion, typically on a standardized scale (e.g., 1-5 or 0-10).
  4. Calculate Weighted Score: For each criterion and each option, multiply the score by the criterion's weight.
  5. Sum Weighted Scores: Add up the weighted scores for each option to get a total weighted score.

Mathematical Formula:

For a single option (let's call it Option A) being evaluated against n criteria:

Weighted Score for Criterion i = (ScoreA,i * Weighti) / 100

Where:

  • ScoreA,i is the score given to Option A for Criterion i.
  • Weighti is the percentage weight assigned to Criterion i.

Total Weighted Score for Option A = Σ (ScoreA,i * Weighti) / 100 (summed from i=1 to n)

If you are comparing multiple options, you calculate the Total Weighted Score for each option independently. The option with the highest Total Weighted Score is generally considered the best choice based on the defined criteria and weights.

Variables Used in Weighted Score Calculation
Variable Meaning Unit Typical Range
Scorei Performance rating for criterion i Points (e.g., 0-10) 0 to 10 (or 1-5, 1-7, etc.)
Weighti Relative importance of criterion i Percentage (%) 0% to 100% (sum of all weights = 100%)
Weighted Scorei Score adjusted by its importance Points (scaled) Depends on Score and Weight ranges
Total Weighted Score Overall evaluation score for an option Points (scaled) Depends on calculation; often normalized

Practical Examples (Real-World Use Cases)

Let's illustrate calculating weighted scores with practical scenarios.

Example 1: Choosing a New Laptop

A student needs a new laptop and identifies three key criteria: Price, Performance, and Battery Life. They assign weights and scores:

  • Criteria: Price, Performance, Battery Life
  • Weights: Price (40%), Performance (35%), Battery Life (25%) – Total 100%

Option A: Laptop Pro

  • Price Score: 7 (Lower price is better, so a higher score indicates a more favorable price point in this context, assuming the scale is 1-10 where 10 is best value for money)
  • Performance Score: 9
  • Battery Life Score: 8

Calculation for Laptop Pro:

  • Price Weighted Score: (7 * 40) / 100 = 2.8
  • Performance Weighted Score: (9 * 35) / 100 = 3.15
  • Battery Life Weighted Score: (8 * 25) / 100 = 2.0
  • Total Weighted Score (Laptop Pro): 2.8 + 3.15 + 2.0 = 7.95

Option B: Laptop Lite

  • Price Score: 9
  • Performance Score: 6
  • Battery Life Score: 9

Calculation for Laptop Lite:

  • Price Weighted Score: (9 * 40) / 100 = 3.6
  • Performance Weighted Score: (6 * 35) / 100 = 2.1
  • Battery Life Weighted Score: (9 * 25) / 100 = 2.25
  • Total Weighted Score (Laptop Lite): 3.6 + 2.1 + 2.25 = 7.95

Interpretation: In this specific example, both laptops have the same total weighted score (7.95). This highlights that the choice might come down to subtle preferences or further detailed analysis. If the student prioritized battery life slightly more (e.g., 30% weight) and performance slightly less (e.g., 30% weight), Laptop Lite might edge out Laptop Pro.

Example 2: Evaluating Job Candidates

A company is hiring for a software engineer. They have three crucial criteria: Technical Skills, Communication, and Experience Level. The hiring team assigns weights:

  • Criteria: Technical Skills, Communication, Experience Level
  • Weights: Technical Skills (50%), Communication (25%), Experience Level (25%) – Total 100%

Candidate X

  • Technical Skills Score: 8
  • Communication Score: 9
  • Experience Level Score: 7

Calculation for Candidate X:

  • Technical Skills Weighted Score: (8 * 50) / 100 = 4.0
  • Communication Weighted Score: (9 * 25) / 100 = 2.25
  • Experience Level Weighted Score: (7 * 25) / 100 = 1.75
  • Total Weighted Score (Candidate X): 4.0 + 2.25 + 1.75 = 8.0

Candidate Y

  • Technical Skills Score: 9
  • Communication Score: 7
  • Experience Level Score: 8

Calculation for Candidate Y:

  • Technical Skills Weighted Score: (9 * 50) / 100 = 4.5
  • Communication Weighted Score: (7 * 25) / 100 = 1.75
  • Experience Level Weighted Score: (8 * 25) / 100 = 2.0
  • Total Weighted Score (Candidate Y): 4.5 + 1.75 + 2.0 = 8.25

Interpretation: Candidate Y has a higher total weighted score (8.25) than Candidate X (8.0). Even though Candidate X scored higher in communication, Candidate Y's superior technical skills score, which has a higher weight, gives them the edge in the overall evaluation. This demonstrates how prioritizing key criteria influences the final ranking.

How to Use This Excel Weighted Scores Calculator

Our calculator simplifies the process of assigning and calculating weighted scores. Follow these steps:

  1. Set the Number of Criteria: Enter how many factors (criteria) you want to evaluate in the "Number of Criteria" field. This will dynamically adjust the input fields below.
  2. Input Criterion Details: For each criterion, you will see fields for:
    • Criterion Name: Give each factor a clear name (e.g., "Cost", "Ease of Use", "Reliability").
    • Score (0-10): Assign a score from 0 to 10, representing how well an option performs on this criterion. Higher scores mean better performance.
    • Weight (%): Enter the importance of this criterion as a percentage. Ensure the total percentage for all criteria adds up to 100%.
  3. Calculate Scores: Click the "Calculate Scores" button. The calculator will instantly compute:
    • The Weighted Score for each individual criterion (Score * Weight / 100).
    • The Total Raw Score (sum of all scores).
    • The Total Weighted Score (sum of all weighted scores), which is your primary result.
    • The Average Score Per Criterion (Total Weighted Score / Number of Criteria).
  4. Interpret Results:
    • The main highlighted result (Total Weighted Score) provides an overall ranking metric. A higher score generally indicates a more favorable outcome based on your inputs.
    • The table breaks down the calculations for each criterion, allowing you to see where scores are coming from.
    • The chart offers a visual comparison of the weighted scores across different criteria, highlighting which factors contribute most significantly.
  5. Decision Making: Use the calculated scores to compare different options. If you're evaluating multiple items, you would typically run the calculator for each item and compare their Total Weighted Scores. The item with the highest score is likely the best fit according to your defined priorities.
  6. Reset: Use the "Reset" button to clear all inputs and return to default values, allowing you to start a new calculation.
  7. Copy Results: The "Copy Results" button allows you to easily capture the key outputs and assumptions for use elsewhere.

Remember, the accuracy and usefulness of the weighted score depend heavily on the quality of your criteria selection, scoring, and weight assignments. This tool provides the mechanism; thoughtful input is key.

Key Factors That Affect Weighted Score Results

Several factors can significantly influence the outcome of a weighted score calculation. Understanding these can help you refine your inputs and improve decision-making:

  1. Criterion Definition: Vague criteria lead to inconsistent scoring. "Good" is subjective; "Meets X specification" is objective. Clearly defining each criterion ensures everyone evaluates options similarly.
  2. Score Scale Consistency: Using a consistent scale (e.g., 0-10) across all criteria is vital. If one criterion uses a 1-5 scale and another 1-10, the results will be skewed. The calculator assumes a 0-10 scale for scores.
  3. Weight Assignment: This is perhaps the most critical factor. Over-emphasizing a criterion can artificially inflate options that perform well on it, potentially masking weaknesses in more important areas. Conversely, under-weighting a crucial factor means it has less impact than it should. The sum of weights must equal 100% for meaningful comparison.
  4. Subjectivity in Scoring: While weights introduce objectivity, the scores themselves are often subjective. Different evaluators might assign different scores to the same option for the same criterion. Mitigate this by using clear scoring rubrics or having multiple people score and averaging.
  5. Normalization of Data: If your raw data for criteria are on vastly different scales (e.g., price in dollars, features in counts, satisfaction in ratings), you might need to normalize them *before* assigning scores or weights. This calculator assumes scores are already on a comparable 0-10 scale.
  6. Number of Criteria: A large number of criteria can dilute the impact of each individual criterion, especially if weights are distributed thinly. Conversely, too few criteria might miss important decision factors.
  7. Rounding Errors: While typically minor, extensive calculations with many decimal places can introduce small rounding errors. Ensure your tool or spreadsheet handles precision appropriately.
  8. Dynamic vs. Static Factors: Are the criteria and their weights fixed, or do they change over time? A weighted score is a snapshot. If market conditions or priorities shift, the weights may need re-evaluation. For example, 'Urgency' might gain weight during a crisis.

Frequently Asked Questions (FAQ)

Q1: What is the ideal score range for each criterion?

A1: A common and effective range is 0-10 or 1-5. The key is consistency. Our calculator uses a 0-10 scale. Ensure your assigned scores fit within this scale.

Q2: What happens if my weights don't add up to 100%?

A2: The calculation still proceeds, but the resulting Total Weighted Score won't be accurately comparable to standard weighted scoring models. For the formula (Score * Weight / 100) to work as intended, the sum of weights should be 100%. You might need to adjust your weights or normalize them.

Q3: Can I use negative scores or weights?

A3: Generally, no. Scores represent performance and weights represent importance, both typically non-negative. Negative values can distort the meaning of the calculation and are not standard practice.

Q4: How do I compare multiple options using this calculator?

A4: You would typically run the calculator once for each option you are comparing. Enter the same criteria and weights, but the different scores assigned to each option. Then, compare the resulting Total Weighted Scores.

Q5: What if a criterion is "bad" if the score is high (e.g., Cost)?

A5: This is a common issue. You need to ensure your scoring scale reflects desirability. For "Cost," a lower dollar amount is better. You could: a) Reverse the scoring logic (e.g., assign a score of 10 to the lowest cost, and scale down from there). b) Assign a score based on perceived value for money rather than raw cost. c) Use negative weights (less common and requires careful interpretation).

Q6: Can I use this for qualitative factors?

A6: Yes, but you need to define a scoring rubric. For example, for "Team Fit," you might define: 1=Poor Fit, 5=Average Fit, 10=Excellent Fit. The clarity of your rubric determines the objectivity.

Q7: How many criteria are optimal?

A7: There's no single 'optimal' number. Too few might oversimplify; too many can make the process cumbersome and dilute the impact of key factors. Typically, 3-7 criteria strike a good balance for most decisions.

Q8: Does this calculator handle different weighting schemes (e.g., sum of weights not 100)?

A8: This calculator is designed for weights that sum to 100%. If your weights do not sum to 100%, the calculation (Score * Weight / 100) will still execute, but the interpretation of the "Total Weighted Score" might need adjustment based on your specific scheme. It's best practice to normalize weights to sum to 100%.

var criteriaCountInput = document.getElementById('criteriaCount'); var criteriaInputsDiv = document.getElementById('criteriaInputs'); var scoreTableBody = document.getElementById('scoreTableBody'); var mainResultDiv = document.getElementById('mainResult'); var totalRawScoreDiv = document.getElementById('totalRawScore'); var totalWeightedScoreDiv = document.getElementById('totalWeightedScore'); var averageScoreDiv = document.getElementById('averageScore'); var chart = null; var chartContext = null; function createInputFields(count) { criteriaInputsDiv.innerHTML = "; scoreTableBody.innerHTML = "; var currentTotalWeight = 0; for (var i = 0; i < count; i++) { var criterionGroup = document.createElement('div'); criterionGroup.className = 'input-group'; criterionGroup.dataset.index = i; var nameLabel = document.createElement('label'); nameLabel.htmlFor = 'criterionName_' + i; nameLabel.textContent = 'Criterion ' + (i + 1) + ' Name:'; var nameInput = document.createElement('input'); nameInput.type = 'text'; nameInput.id = 'criterionName_' + i; nameInput.value = 'Criterion ' + (i + 1); nameInput.addEventListener('input', function() { validateInput(this, 10); }); var scoreLabel = document.createElement('label'); scoreLabel.htmlFor = 'criterionScore_' + i; scoreLabel.textContent = 'Score (0-10):'; var scoreInput = document.createElement('input'); scoreInput.type = 'number'; scoreInput.id = 'criterionScore_' + i; scoreInput.min = '0'; scoreInput.max = '10'; scoreInput.value = '7'; // Default score scoreInput.addEventListener('input', function() { validateInput(this, 10); }); var weightLabel = document.createElement('label'); weightLabel.htmlFor = 'criterionWeight_' + i; weightLabel.textContent = 'Weight (%):'; var weightInput = document.createElement('input'); weightInput.type = 'number'; weightInput.id = 'criterionWeight_' + i; weightInput.min = '0'; weightInput.value = '0'; // Will be distributed weightInput.dataset.index = i; // Store index for weight distribution weightInput.addEventListener('input', handleWeightInput); var weightHelper = document.createElement('span'); weightHelper.className = 'helper-text'; weightHelper.textContent = 'Enter importance as percentage (e.g., 30 for 30%).'; var scoreError = document.createElement('div'); scoreError.id = 'criterionScoreError_' + i; scoreError.className = 'error-message'; var weightError = document.createElement('div'); weightError.id = 'criterionWeightError_' + i; weightError.className = 'error-message'; criterionGroup.appendChild(nameLabel); criterionGroup.appendChild(nameInput); criterionGroup.appendChild(scoreLabel); criterionGroup.appendChild(scoreInput); criterionGroup.appendChild(weightLabel); criterionGroup.appendChild(weightInput); criterionGroup.appendChild(weightHelper); criterionGroup.appendChild(scoreError); criterionGroup.appendChild(weightError); criteriaInputsDiv.appendChild(criterionGroup); // Add row to table var tableRow = document.createElement('tr'); tableRow.innerHTML = '' + nameInput.value + '' + '' + scoreInput.value + '' + '' + weightInput.value + '%' + '—'; scoreTableBody.appendChild(tableRow); currentTotalWeight += parseFloat(weightInput.value) || 0; } // Distribute weights initially if count > 0 if (count > 0) { distributeWeights(currentTotalWeight); } } function distributeWeights(currentTotal) { var count = parseInt(criteriaCountInput.value); var inputs = document.querySelectorAll('#criteriaInputs .input-group input[type="number"][id^="criterionWeight_"]'); var totalWeight = 100; var weightPerCriterion = totalWeight / count; var allocatedWeight = 0; inputs.forEach(function(input, index) { var weight = weightPerCriterion; if (index === inputs.length – 1) { // Assign remaining weight to the last one to ensure sum is 100 weight = totalWeight – allocatedWeight; } input.value = weight.toFixed(1); allocatedWeight += weight; updateTableRow(index, document.getElementById('criterionName_' + index).value, document.getElementById('criterionScore_' + index).value, input.value); }); // Update any remaining weight to ensure it hits exactly 100 if (inputs.length > 0) { var finalWeight = 0; inputs.forEach(function(input){ finalWeight += parseFloat(input.value); }); if (Math.abs(finalWeight – 100) > 0.01) { var difference = 100 – finalWeight; inputs[inputs.length – 1].value = (parseFloat(inputs[inputs.length – 1].value) + difference).toFixed(1); } } updateTotalWeightDisplay(); } function handleWeightInput(event) { var inputs = document.querySelectorAll('#criteriaInputs .input-group input[type="number"][id^="criterionWeight_"]'); var totalWeight = 0; inputs.forEach(function(input) { totalWeight += parseFloat(input.value) || 0; }); var index = parseInt(event.target.dataset.index); updateTableRow(index, document.getElementById('criterionName_' + index).value, document.getElementById('criterionScore_' + index).value, event.target.value); updateTotalWeightDisplay(); } function updateTableRow(index, name, score, weight) { if (scoreTableBody.rows[index]) { scoreTableBody.rows[index].cells[0].textContent = name; scoreTableBody.rows[index].cells[1].textContent = score; scoreTableBody.rows[index].cells[2].textContent = parseFloat(weight).toFixed(1) + '%'; } } function updateTotalWeightDisplay() { var inputs = document.querySelectorAll('#criteriaInputs .input-group input[type="number"][id^="criterionWeight_"]'); var totalWeight = 0; inputs.forEach(function(input) { totalWeight += parseFloat(input.value) || 0; }); // Optional: Display total weight somewhere if needed, for now it's implicitly used } function validateInput(input, max) { var errorDiv = document.getElementById(input.id.replace('criterion', 'criterion') + 'Error'); var value = parseFloat(input.value); if (input.type === 'text') { if (input.value.trim() === ") { errorDiv.textContent = 'Criterion name cannot be empty.'; errorDiv.style.display = 'block'; return false; } else { errorDiv.textContent = "; errorDiv.style.display = 'none'; return true; } } else { // type is number if (isNaN(value)) { errorDiv.textContent = 'Please enter a valid number.'; errorDiv.style.display = 'block'; return false; } else if (value max) { errorDiv.textContent = 'Value cannot exceed ' + max + '.'; errorDiv.style.display = 'block'; return false; } else { errorDiv.textContent = "; errorDiv.style.display = 'none'; return true; } } } function calculateWeightedScore() { var count = parseInt(criteriaCountInput.value); var inputs = criteriaInputsDiv.querySelectorAll('.input-group'); var criteriaData = []; var totalRawScore = 0; var totalWeightedScore = 0; var isValid = true; // Clear previous errors and table rows criteriaInputsDiv.querySelectorAll('.error-message').forEach(function(el) { el.style.display = 'none'; el.textContent = "; }); if (isNaN(count) || count 10) { document.getElementById('criteriaCountError').textContent = 'Please enter a number between 1 and 10.'; document.getElementById('criteriaCountError').style.display = 'block'; isValid = false; } else { document.getElementById('criteriaCountError').style.display = 'none'; } if (!isValid) return; inputs.forEach(function(group, index) { var nameInput = document.getElementById('criterionName_' + index); var scoreInput = document.getElementById('criterionScore_' + index); var weightInput = document.getElementById('criterionWeight_' + index); var name = nameInput.value.trim(); var score = parseFloat(scoreInput.value); var weight = parseFloat(weightInput.value); var scoreValid = validateInput(scoreInput, 10); var weightValid = validateInput(weightInput, 100); var nameValid = validateInput(nameInput); if (!scoreValid || !weightValid || !nameValid) { isValid = false; } if (nameValid && scoreValid && weightValid) { var weightedScore = (score * weight) / 100; criteriaData.push({ name: name, score: score, weight: weight, weightedScore: weightedScore }); totalRawScore += score; totalWeightedScore += weightedScore; } else { // Ensure valid inputs are used even if calculation stops score = scoreValid ? score : 0; weight = weightValid ? weight : 0; weightedScore = (score * weight) / 100; criteriaData.push({ name: nameValid ? name : "Invalid Name", score: scoreValid ? score : 0, weight: weightValid ? weight : 0, weightedScore: weightedScore }); } }); if (!isValid) { mainResultDiv.textContent = '–'; totalRawScoreDiv.textContent = 'Total Raw Score: –'; totalWeightedScoreDiv.textContent = 'Total Weighted Score: –'; averageScoreDiv.textContent = 'Average Score Per Criterion: –'; updateChart([]); // Clear chart updateTable(criteriaData); return; } var averageScore = count > 0 ? totalWeightedScore / count : 0; mainResultDiv.textContent = totalWeightedScore.toFixed(2); totalRawScoreDiv.textContent = 'Total Raw Score: ' + totalRawScore.toFixed(2); totalWeightedScoreDiv.textContent = 'Total Weighted Score: ' + totalWeightedScore.toFixed(2); averageScoreDiv.textContent = 'Average Score Per Criterion: ' + averageScore.toFixed(2); updateTable(criteriaData); updateChart(criteriaData); } function updateTable(data) { scoreTableBody.innerHTML = "; if (data.length === 0) { var row = scoreTableBody.insertRow(); row.innerHTML = 'Enter criteria and click "Calculate Scores"'; return; } data.forEach(function(item, index) { var row = scoreTableBody.insertRow(); row.innerHTML = '' + item.name + '' + '' + item.score.toFixed(1) + '' + '' + item.weight.toFixed(1) + '%' + '' + item.weightedScore.toFixed(2) + ''; }); } function updateChart(data) { var chartLabels = data.map(function(item) { return item.name; }); var weightedScores = data.map(function(item) { return item.weightedScore; }); var originalScores = data.map(function(item) { return item.score; }); // Add original scores as another series if (chart) { chart.destroy(); } var canvas = document.getElementById('weightedScoreChart'); if (!canvas) return; // Canvas might not exist if rendering error chartContext = canvas.getContext('2d'); chart = new Chart(chartContext, { type: 'bar', data: { labels: chartLabels, datasets: [{ label: 'Weighted Score', data: weightedScores, backgroundColor: 'rgba(0, 74, 153, 0.6)', // Primary color borderColor: 'rgba(0, 74, 153, 1)', borderWidth: 1 }, { label: 'Original Score', data: originalScores, backgroundColor: 'rgba(40, 167, 69, 0.5)', // Success color (lighter) borderColor: 'rgba(40, 167, 69, 0.8)', borderWidth: 1 }] }, options: { responsive: true, maintainAspectRatio: false, scales: { y: { beginAtZero: true, title: { display: true, text: 'Score Value' } }, x: { title: { display: true, text: 'Criteria' } } }, plugins: { legend: { position: 'top', }, title: { display: true, text: 'Comparison of Scores by Criterion' } } } }); } function copyResults() { var mainResult = mainResultDiv.textContent.replace('Total Weighted Score: ', "); var totalRaw = totalRawScoreDiv.textContent.replace('Total Raw Score: ', "); var totalWeighted = totalWeightedScoreDiv.textContent.replace('Total Weighted Score: ', "); var average = averageScoreDiv.textContent.replace('Average Score Per Criterion: ', "); var assumptions = "Key Assumptions:\n"; var inputs = criteriaInputsDiv.querySelectorAll('.input-group'); var criteriaData = []; inputs.forEach(function(group, index) { var nameInput = document.getElementById('criterionName_' + index); var scoreInput = document.getElementById('criterionScore_' + index); var weightInput = document.getElementById('criterionWeight_' + index); var name = nameInput.value.trim(); var score = parseFloat(scoreInput.value); var weight = parseFloat(weightInput.value); var weightedScore = (score * weight) / 100; criteriaData.push({ name: name, score: score, weight: weight, weightedScore: weightedScore }); assumptions += `- Criterion: ${name}\n`; assumptions += ` Score (0-10): ${score.toFixed(1)}\n`; assumptions += ` Weight: ${weight.toFixed(1)}%\n`; assumptions += ` Calculated Weighted Score: ${weightedScore.toFixed(2)}\n`; }); // Check total weight sum var totalWeightSum = criteriaData.reduce(function(sum, item) { return sum + item.weight; }, 0); assumptions += `\nTotal Weight Sum: ${totalWeightSum.toFixed(1)}%\n`; var textToCopy = `Weighted Score Calculation Results:\n\n`; textToCopy += `Main Result (Total Weighted Score): ${mainResult}\n`; textToCopy += `Total Raw Score: ${totalRaw}\n`; textToCopy += `Total Weighted Score: ${totalWeighted}\n`; textToCopy += `Average Score Per Criterion: ${average}\n\n`; textToCopy += assumptions; // Use a temporary textarea to copy text var textArea = document.createElement("textarea"); textArea.value = textToCopy; textArea.style.position = "fixed"; textArea.style.left = "-9999px"; document.body.appendChild(textArea); textArea.focus(); textArea.select(); try { var successful = document.execCommand('copy'); var msg = successful ? 'Results copied to clipboard!' : 'Failed to copy results.'; alert(msg); // Simple feedback } catch (err) { alert('Oops, unable to copy'); } document.body.removeChild(textArea); } function resetCalculator() { criteriaCountInput.value = 3; createInputFields(3); // Re-run calculation with defaults setTimeout(calculateWeightedScore, 10); // Slight delay to ensure fields are rendered } // Initial setup criteriaCountInput.addEventListener('change', function() { var count = parseInt(this.value); if (isNaN(count) || count 10) { document.getElementById('criteriaCountError').textContent = 'Please enter a number between 1 and 10.'; document.getElementById('criteriaCountError').style.display = 'block'; return; } else { document.getElementById('criteriaCountError').style.display = 'none'; } createInputFields(count); calculateWeightedScore(); // Recalculate with new fields }); // Initialize calculator with default values createInputFields(parseInt(criteriaCountInput.value)); calculateWeightedScore(); // Calculate initial values // Add Chart.js if not already present (for example purposes, normally you'd include it in head) if (typeof Chart === 'undefined') { var script = document.createElement('script'); script.src = 'https://cdn.jsdelivr.net/npm/chart.js'; script.onload = function() { // Re-initialize chart after library is loaded updateChart([]); // Call with empty data initially calculateWeightedScore(); // Ensure chart is drawn after potential default calculation }; document.head.appendChild(script); } else { updateChart([]); // Initialize chart if Chart.js is already loaded calculateWeightedScore(); }

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