Calculating a Cpi Formula Price Relatives Weights Logarithms

CPI Formula Price Relatives Weights Logarithms Calculator :root { –primary-color: #004a99; –secondary-color: #007bff; –success-color: #28a745; –background-color: #f8f9fa; –text-color: #333; –light-text-color: #6c757d; –border-color: #dee2e6; –card-background: #ffffff; –shadow: 0 4px 8px rgba(0, 0, 0, 0.1); –border-radius: 8px; } 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; } .container { max-width: 960px; margin: 20px auto; padding: 20px; background-color: var(–card-background); box-shadow: var(–shadow); border-radius: var(–border-radius); } .header { background-color: var(–primary-color); color: white; padding: 20px; text-align: center; border-radius: var(–border-radius) var(–border-radius) 0 0; margin: -20px -20px 20px -20px; } .header h1 { margin: 0; font-size: 2.2em; } .calculator-section { margin-bottom: 40px; padding: 30px; border: 1px solid var(–border-color); border-radius: var(–border-radius); background-color: var(–card-background); } .calculator-section h2 { color: var(–primary-color); text-align: center; margin-top: 0; margin-bottom: 25px; } .input-group { margin-bottom: 20px; display: flex; flex-direction: column; } .input-group label { display: block; margin-bottom: 8px; font-weight: 600; color: var(–primary-color); } .input-group input[type="number"], .input-group input[type="text"], .input-group select { padding: 12px 15px; border: 1px solid var(–border-color); border-radius: var(–border-radius); font-size: 1em; transition: border-color 0.3s ease; box-sizing: border-box; } .input-group input:focus, .input-group select:focus { border-color: var(–secondary-color); outline: none; box-shadow: 0 0 0 0.2rem rgba(0, 74, 153, 0.25); } .input-group .helper-text { font-size: 0.85em; color: var(–light-text-color); margin-top: 8px; } .input-group .error-message { color: #dc3545; font-size: 0.85em; margin-top: 8px; display: none; /* Hidden by default */ } .input-group .error-message.visible { display: block; } .button-group { display: flex; justify-content: space-between; margin-top: 25px; gap: 10px; } .button-group button { padding: 12px 25px; border: none; border-radius: var(–border-radius); cursor: pointer; font-size: 1em; font-weight: 600; transition: background-color 0.3s ease, transform 0.2s ease; } .button-group button:hover { transform: translateY(-2px); } .button-primary { background-color: var(–primary-color); color: white; } .button-primary:hover { background-color: #003366; } .button-secondary { background-color: var(–secondary-color); color: white; } .button-secondary:hover { background-color: #0056b3; } .button-reset { background-color: #6c757d; color: white; } .button-reset:hover { background-color: #5a6268; } .results-section { margin-top: 30px; padding: 30px; border: 1px solid var(–border-color); border-radius: var(–border-radius); background-color: var(–card-background); } .results-section h2 { color: var(–primary-color); text-align: center; margin-top: 0; margin-bottom: 25px; } #primary-result { background-color: var(–success-color); color: white; padding: 20px; text-align: center; font-size: 2.5em; font-weight: bold; margin-bottom: 25px; border-radius: var(–border-radius); box-shadow: var(–shadow); } .intermediate-results div, .formula-explanation div { display: flex; justify-content: space-between; padding: 10px 0; border-bottom: 1px dashed var(–border-color); font-size: 1.1em; } .intermediate-results div:last-child, .formula-explanation div:last-child { border-bottom: none; } .intermediate-results span:first-child, .formula-explanation span:first-child { color: var(–light-text-color); font-weight: 500; } .intermediate-results span:last-child, .formula-explanation span:last-child { font-weight: bold; } .formula-explanation { margin-top: 20px; padding: 15px; background-color: #e9ecef; border-radius: var(–border-radius); } .formula-explanation p { margin: 0 0 10px 0; } .formula-explanation p:last-child { margin-bottom: 0; } table { width: 100%; border-collapse: collapse; margin-top: 30px; box-shadow: var(–shadow); } caption { font-size: 1.2em; font-weight: bold; color: var(–primary-color); margin-bottom: 15px; text-align: left; } th, td { padding: 12px 15px; text-align: left; border: 1px solid var(–border-color); } th { background-color: var(–primary-color); color: white; font-weight: 600; } tbody tr:nth-child(even) { background-color: #f2f2f2; } tbody tr:hover { background-color: #e9ecef; } .chart-container { margin-top: 30px; padding: 20px; border: 1px solid var(–border-color); border-radius: var(–border-radius); background-color: var(–card-background); text-align: center; } .chart-container h2 { color: var(–primary-color); margin-top: 0; margin-bottom: 20px; } canvas { max-width: 100%; height: auto; } .article-section { margin-top: 40px; padding: 30px; border: 1px solid var(–border-color); border-radius: var(–border-radius); background-color: var(–card-background); } .article-section h2, .article-section h3 { color: var(–primary-color); margin-bottom: 15px; } .article-section h2 { text-align: center; font-size: 2em; } .article-section h3 { font-size: 1.5em; border-bottom: 2px solid var(–primary-color); padding-bottom: 5px; } .article-section p { margin-bottom: 15px; } .article-section ul, .article-section ol { margin-bottom: 15px; padding-left: 20px; } .article-section li { margin-bottom: 8px; } .faq-list .faq-item { margin-bottom: 20px; padding: 15px; border: 1px solid var(–border-color); border-radius: var(–border-radius); background-color: #f8f9fa; } .faq-list .faq-item h3 { margin: 0 0 10px 0; font-size: 1.1em; cursor: pointer; color: var(–primary-color); border: none; padding-bottom: 0; } .faq-list .faq-item p { margin: 0; display: none; /* Hidden by default */ } .faq-list .faq-item.active p { display: block; } .related-links { margin-top: 30px; padding: 20px; border: 1px solid var(–border-color); border-radius: var(–border-radius); background-color: var(–card-background); } .related-links h2 { color: var(–primary-color); text-align: center; margin-top: 0; margin-bottom: 20px; } .related-links ul { list-style: none; padding: 0; } .related-links li { margin-bottom: 15px; } .related-links a { color: var(–primary-color); text-decoration: none; font-weight: 600; } .related-links a:hover { text-decoration: underline; } .related-links p { font-size: 0.9em; color: var(–light-text-color); margin-top: 5px; } .footer { text-align: center; margin-top: 40px; padding: 20px; font-size: 0.9em; color: var(–light-text-color); } .footer a { color: var(–primary-color); text-decoration: none; } .footer a:hover { text-decoration: underline; }

CPI Formula Price Relatives Weights Logarithms Calculator

Calculate CPI Components

The CPI for the base period (e.g., 100 for 1982-84=100).
The CPI for the current period.
Name of the first good or service.
Price of Item 1 in the base year.
Price of Item 1 in the current year.
Weight of Item 1 in the consumer basket (e.g., 10 for 10%).
Name of the second good or service.
Price of Item 2 in the base year.
Price of Item 2 in the current year.
Weight of Item 2 in the consumer basket (e.g., 5 for 5%).
Name of the third good or service.
Price of Item 3 in the base year.
Price of Item 3 in the current year.
Weight of Item 3 in the consumer basket (e.g., 30 for 30%).

Results

Formula Used

Price Relative (for an item): (Current Price / Base Price)

Weighted Price Component: Price Relative * (Weight / 100)

CPI (using basket items): Sum of (Weighted Price Components for each item) * (Base Year CPI / Sum of Weights)

Log Price Relative: log(Current Price / Base Price)

Price Relative Trends

Consumer Price Index Basket Components
Item Base Year Price Current Year Price Weight (%) Price Relative Weighted Component Log Price Relative
Total

What is Calculating a CPI Formula Price Relatives Weights Logarithms?

**Calculating a CPI formula price relatives weights logarithms** refers to the multifaceted process of understanding and quantifying inflation for a basket of goods and services. At its core, it involves determining the Consumer Price Index (CPI), a crucial economic indicator that tracks the average change over time in the prices paid by urban consumers for a market basket of consumer goods and services. This calculation utilizes several key components: price relatives, weighted averages, and logarithms, providing a comprehensive view of price dynamics.

Who Should Use It?

This calculation is vital for economists, policymakers, financial analysts, businesses, and even informed consumers.

  • Economists and Policymakers: Use CPI to gauge inflation, inform monetary policy decisions (like interest rate adjustments), and forecast economic trends.
  • Financial Analysts: Analyze the impact of inflation on investments, company profitability, and market valuations.
  • Businesses: Adjust pricing strategies, forecast costs, negotiate contracts, and understand consumer purchasing power.
  • Consumers: Understand changes in the cost of living, make informed purchasing decisions, and assess the real value of their savings and wages.
  • Researchers: Study economic history, analyze long-term price trends, and model inflation dynamics.

Common Misconceptions

A common misconception is that CPI perfectly reflects individual spending. In reality, CPI is an average and may not match your personal inflation rate due to differences in consumption patterns. Another misconception is that CPI only measures price increases; it can also reflect price decreases, though typically inflation is the focus. Furthermore, the "basket" is not static and is updated periodically to reflect changes in consumer behavior, which is a strength, not a weakness.

CPI Formula Price Relatives Weights Logarithms: Mathematical Explanation

Understanding the calculation of a CPI involves breaking down the components. The core idea is to measure how the cost of a representative basket of goods and services changes over time. This is achieved through several steps:

Step 1: Define the Base Period and Basket

A base year is chosen (e.g., 1982-84 = 100). A representative basket of goods and services is defined, reflecting typical consumer spending. Each item in the basket is assigned a weight based on its importance in the overall budget.

Step 2: Calculate Price Relatives

For each item in the basket, a price relative is calculated. This is simply the ratio of the current price of the item to its price in the base year.

Price Relative = (Current Price of Item) / (Base Year Price of Item)

A price relative greater than 1 indicates a price increase, while a value less than 1 indicates a price decrease.

Step 3: Calculate Weighted Price Components

Each price relative is then multiplied by the item's weight (expressed as a decimal or percentage). This gives the weighted price component, reflecting the item's contribution to the overall price change, scaled by its importance in the consumer budget.

Weighted Price Component = Price Relative * (Weight of Item / 100)

Step 4: Calculate the Consumer Price Index (CPI)

The CPI for the current period is calculated by summing the weighted price components of all items in the basket and then scaling this sum. A common method for a simple index is:

CPI = [ Sum of (Price Relative * Weight) for all items ] / [ Sum of Weights ] * Base Year Index

If the weights are already normalized to sum to 100 (representing percentages), and the Base Year Index is 100, the formula simplifies. The calculator above uses a method where the sum of weighted price components is scaled relative to the sum of weights, and then potentially adjusted by the base year index. For simplicity in many calculators, if weights sum to 100 and base index is 100, the CPI is often directly the sum of weighted price components, adjusted for the base year.

A more direct approach to calculate the CPI for the current period relative to the base period, assuming a base index of 100 and weights summing to 100:

CPI (Current) = Sum of [ (Current Price / Base Price) * (Weight / 100) * 100 ] for all items This simplifies to: CPI (Current) = Sum of [ (Current Price / Base Price) * Weight ] for all items

The calculator computes the weighted sum of price relatives, which directly corresponds to the CPI if the base index is 100 and weights are percentages.

Step 5: Using Logarithms

Logarithms are often used in economic analysis for several reasons:

  • Stabilizing Variance: Logarithms can help stabilize the variance of price changes over time, making statistical analysis more robust.
  • Interpreting Proportional Changes: The logarithm of a price relative, log(P_current / P_base), represents the proportional change in price. A 1% increase in price corresponds to a constant change in the logarithm of the price, regardless of the starting price level. This is useful for modeling long-term trends and elasticities.
  • Additive Properties: Logarithms turn multiplication into addition (log(a*b) = log(a) + log(b)). This property is useful in constructing complex price indices or analyzing price decomposition. For example, the logarithm of a weighted average price can be approximated by a weighted average of the logarithms of the individual prices.

Log Price Relative = ln(Current Price / Base Price) or log10(Current Price / Base Price)

Variables and Their Meaning

Variable Meaning Unit Typical Range
CPI Consumer Price Index Index Points (Base Year = 100) Variable, often 100+
Price Relative Ratio of current price to base price for an item Unitless Ratio Typically > 0
Weight Proportion of consumer expenditure on an item Percentage (%) 0% to 100%
Base Year Price Price of an item in the chosen base year Currency Unit (e.g., USD) Positive Value
Current Year Price Price of an item in the current period Currency Unit (e.g., USD) Positive Value
Log Price Relative Natural logarithm (or base-10) of the price relative Unitless Can be positive, negative, or zero
Weighted Price Component Item's price relative adjusted by its budget weight Unitless Ratio (when weight is proportion) Variable

Practical Examples

Example 1: Calculating CPI Change for a Simple Basket

Consider a simplified economy where consumers buy only Apples and Gasoline.

  • Base Year (Index = 100):
    • Apples: Price = $1.00, Weight = 60%
    • Gasoline: Price = $2.00, Weight = 40%
  • Current Year:
    • Apples: Price = $1.20
    • Gasoline: Price = $3.00

Calculations:

  • Apple Price Relative: $1.20 / $1.00 = 1.20
  • Gasoline Price Relative: $3.00 / $2.00 = 1.50
  • Apple Weighted Component: 1.20 * (60 / 100) = 0.72
  • Gasoline Weighted Component: 1.50 * (40 / 100) = 0.60
  • Total Weighted Components: 0.72 + 0.60 = 1.32
  • Current Year CPI: 1.32 * 100 = 132

Interpretation: The CPI has risen from 100 to 132, indicating a 32% increase in the cost of this basket of goods and services from the base year to the current year.

Log Price Relatives:

  • Apple Log Relative: ln(1.20) ≈ 0.1823
  • Gasoline Log Relative: ln(1.50) ≈ 0.4055

Example 2: Impact of Weight Changes on CPI

Let's use the same items but adjust weights to reflect changing consumer behavior. Suppose the base year CPI is still 100.

  • Base Year (Index = 100):
    • Bread: Price = $2.00, Weight = 20%
    • Electricity: Price = $0.15/kWh, Weight = 30%
    • Car: Price = $20,000, Weight = 50%
  • Current Year:
    • Bread: Price = $2.50
    • Electricity: Price = $0.25/kWh
    • Car: Price = $22,000

Calculations:

  • Bread Price Relative: $2.50 / $2.00 = 1.25
  • Electricity Price Relative: $0.25 / $0.15 ≈ 1.67
  • Car Price Relative: $22,000 / $20,000 = 1.10
  • Bread Weighted Component: 1.25 * (20 / 100) = 0.25
  • Electricity Weighted Component: 1.67 * (30 / 100) ≈ 0.501
  • Car Weighted Component: 1.10 * (50 / 100) = 0.55
  • Total Weighted Components: 0.25 + 0.501 + 0.55 = 1.301
  • Current Year CPI: 1.301 * 100 = 130.1

Interpretation: The CPI is approximately 130.1, indicating a 30.1% rise in prices. Notice how the significant price increase in electricity (driven by its weight) has a larger impact than the smaller price increase in cars, despite cars having a higher total cost. This highlights the importance of weights in CPI calculations.

Log Price Relatives:

  • Bread Log Relative: ln(1.25) ≈ 0.2231
  • Electricity Log Relative: ln(1.67) ≈ 0.5128
  • Car Log Relative: ln(1.10) ≈ 0.0953

How to Use This CPI Calculator

Our CPI Formula Price Relatives Weights Logarithms Calculator is designed for ease of use, providing instant insights into inflation dynamics.

  1. Input Base Year CPI: Enter the CPI index for your chosen base period. This is typically 100.
  2. Input Current Year CPI: Enter the CPI index for the period you are comparing against. (Note: This is often used for context; the calculator primarily uses item prices for detailed calculation).
  3. Define Basket Items: For each item in your consumer basket:
    • Enter its Name (e.g., "Milk", "Rent").
    • Enter its Price in the Base Year.
    • Enter its Price in the Current Year.
    • Enter its Weight (%) in the consumer budget. Ensure weights are entered as percentages (e.g., 15 for 15%).
    The calculator is pre-filled with three common items for demonstration. You can modify these or imagine adding more conceptually.
  4. Click 'Calculate': The calculator will instantly compute:
    • Primary Result: The overall CPI for the current period based on the weighted basket.
    • Intermediate Values: Price Relatives, Log Price Relatives, and Weighted Components for each item, along with totals.

How to Read Results

  • Primary Result (CPI): This number shows the overall price level change relative to the base period. A CPI of 130 means prices are, on average, 30% higher than in the base year.
  • Price Relative: Indicates how much the price of a single item has changed. A value of 1.5 means the price doubled.
  • Weighted Component: Shows the contribution of each item's price change to the total CPI, considering its importance in the basket. Items with higher weights have a greater impact.
  • Log Price Relative: Useful for advanced analysis, representing the logarithmic change in price. Useful for modeling and comparing rates of change.

Decision-Making Guidance

Use the results to understand inflation's impact. If the CPI is high, purchasing power has decreased. Businesses might consider price adjustments or cost controls. Policymakers might analyze the need for inflation-targeting measures. Consumers can assess wage increases against inflation and adjust spending habits. The comparison of weighted components helps identify which goods or services are driving inflation the most.

Key Factors Affecting CPI Results

Several factors influence the CPI calculation and its interpretation, moving beyond the basic formula:

  1. Quality Changes: If the quality of a good improves (e.g., a smartphone with better features), its price might increase, but the CPI calculation attempts to separate pure price increases from quality improvements. This is complex and involves "hedonic adjustments."
  2. Substitution Bias: CPI assumes consumers buy fixed quantities. In reality, if the price of one good rises significantly, consumers often switch to cheaper alternatives (substitution). CPI may overstate inflation if it doesn't fully account for this dynamic substitution.
  3. New Goods and Services: The introduction of new products (like advanced electronics or streaming services) can be challenging to incorporate immediately into the CPI basket. Their initial prices might be high, affecting the index, and their quality-adjusted prices may fall over time.
  4. Weighting Updates: Consumer spending patterns change. Weights assigned to items must be updated periodically (e.g., annually or biannually) to reflect current consumption. If weights are outdated, the CPI may not accurately represent current spending priorities.
  5. Geographic Differences: CPI is often calculated for specific urban areas or nationally. Prices and spending habits vary significantly by region. A national CPI might not reflect local inflation accurately.
  6. Data Collection Methods: The accuracy and consistency of price data collection are crucial. Random errors or systematic biases in collecting prices for thousands of items across numerous locations can affect the final CPI.
  7. Logarithmic Transformation: While logarithms help in analysis, they compress large values and expand small ones. The interpretation of changes in log price relatives differs from simple percentage changes, requiring careful understanding in econometric models.

Frequently Asked Questions (FAQ)

What is the difference between CPI and inflation rate?

Inflation rate is the percentage change in the CPI over a period (usually a year). If CPI goes from 100 to 103, the inflation rate is 3%.

Why is the base year CPI usually set to 100?

Setting the base year CPI to 100 provides a simple benchmark. All subsequent CPI values are then easily interpreted as a percentage change relative to that base period.

Can the CPI decrease?

Yes, if the overall price level falls, the CPI will decrease. This phenomenon is called deflation.

How often are the weights in the CPI basket updated?

Statistical agencies like the Bureau of Labor Statistics (BLS) in the US update expenditure weights periodically, often every couple of years, to reflect shifts in consumer spending patterns.

Does CPI include taxes?

The CPI generally reflects prices consumers actually pay, including sales and excise taxes. However, it typically excludes income taxes and property taxes.

What is the significance of using logarithms in price analysis?

Logarithms transform multiplicative relationships into additive ones, making it easier to model trends, analyze volatility, and interpret proportional changes consistently across different price levels. They are particularly useful in econometrics.

How does the calculator handle different currencies?

The calculator itself is unit-agnostic for prices. You should ensure all prices entered for a given calculation are in the same currency. The CPI result is an index, not a currency value.

What does a negative log price relative mean?

A negative log price relative indicates that the current price is lower than the base price, meaning the item's price has decreased.

© 2023 Your Financial Tools. All rights reserved.

This calculator provides estimates for educational purposes. Consult with a financial professional for personalized advice.

var chartInstance = null; // Global variable to hold chart instance function calculateCPI() { // Get input values var baseYearIndex = parseFloat(document.getElementById("baseYearIndex").value); var currentYearIndex = parseFloat(document.getElementById("currentYearIndex").value); // Contextual, not primary for calculation var item1Name = document.getElementById("item1Name").value; var item1PriceBase = parseFloat(document.getElementById("item1PriceBase").value); var item1PriceCurrent = parseFloat(document.getElementById("item1PriceCurrent").value); var item1Weight = parseFloat(document.getElementById("item1Weight").value); var item2Name = document.getElementById("item2Name").value; var item2PriceBase = parseFloat(document.getElementById("item2PriceBase").value); var item2PriceCurrent = parseFloat(document.getElementById("item2PriceCurrent").value); var item2Weight = parseFloat(document.getElementById("item2Weight").value); var item3Name = document.getElementById("item3Name").value; var item3PriceBase = parseFloat(document.getElementById("item3PriceBase").value); var item3PriceCurrent = parseFloat(document.getElementById("item3PriceCurrent").value); var item3Weight = parseFloat(document.getElementById("item3Weight").value); // — Input Validation — var inputs = [ { id: "baseYearIndex", value: baseYearIndex, min: 1, max: Infinity }, { id: "currentYearIndex", value: currentYearIndex, min: 1, max: Infinity }, { id: "item1PriceBase", value: item1PriceBase, min: 0.01, max: Infinity }, { id: "item1PriceCurrent", value: item1PriceCurrent, min: 0.01, max: Infinity }, { id: "item1Weight", value: item1Weight, min: 0, max: 100 }, { id: "item2PriceBase", value: item2PriceBase, min: 0.01, max: Infinity }, { id: "item2PriceCurrent", value: item2PriceCurrent, min: 0.01, max: Infinity }, { id: "item2Weight", value: item2Weight, min: 0, max: 100 }, { id: "item3PriceBase", value: item3PriceBase, min: 0.01, max: Infinity }, { id: "item3PriceCurrent", value: item3PriceCurrent, min: 0.01, max: Infinity }, { id: "item3Weight", value: item3Weight, min: 0, max: 100 } ]; var allValid = true; inputs.forEach(function(input) { var errorElement = document.getElementById(input.id + "Error"); var value = input.value; errorElement.innerText = ""; errorElement.classList.remove("visible"); if (isNaN(value) || value input.max) { if (isNaN(value)) { errorElement.innerText = "Please enter a valid number."; } else if (value < input.min) { errorElement.innerText = "Value cannot be less than " + input.min + "."; } else { errorElement.innerText = "Value cannot be greater than " + input.max + "."; } errorElement.classList.add("visible"); allValid = false; } }); // Check if weights sum to 100 (optional but good practice for CPI interpretation) var totalWeight = item1Weight + item2Weight + item3Weight; if (totalWeight !== 100) { // Display a warning or adjust calculation logic if needed. // For this example, we'll proceed but note the sum. console.warn("Total weights do not sum to 100%. Sum: " + totalWeight); } if (!allValid) { document.getElementById("primary-result").innerText = "Invalid Input"; clearIntermediateResults(); updateTable(null); updateChart(null); return; } // Calculations var priceRelative1 = item1PriceCurrent / item1PriceBase; var priceRelative2 = item2PriceCurrent / item2PriceBase; var priceRelative3 = item3PriceCurrent / item3PriceBase; var logPriceRelative1 = Math.log(priceRelative1); // Natural log var logPriceRelative2 = Math.log(priceRelative2); var logPriceRelative3 = Math.log(priceRelative3); // Ensure weights are used as proportions (divide by 100) var weightedComponent1 = priceRelative1 * (item1Weight / 100); var weightedComponent2 = priceRelative2 * (item2Weight / 100); var weightedComponent3 = priceRelative3 * (item3Weight / 100); // Calculate CPI using the sum of weighted components (assuming base index of 100) var calculatedCPI = weightedComponent1 + weightedComponent2 + weightedComponent3; calculatedCPI = calculatedCPI * 100; // Scale to index relative to base 100 // — Update Results Display — document.getElementById("primary-result").innerText = calculatedCPI.toFixed(2); var intermediateResults = [ { id: "priceRelative1", label: item1Name + " Price Relative", value: priceRelative1.toFixed(3) }, { id: "priceRelative2", label: item2Name + " Price Relative", value: priceRelative2.toFixed(3) }, { id: "priceRelative3", label: item3Name + " Price Relative", value: priceRelative3.toFixed(3) }, { id: "weightedPriceSum", label: "Total Weighted Components (as proportion)", value: (weightedComponent1 + weightedComponent2 + weightedComponent3).toFixed(4) }, { id: "logPriceRelative1", label: item1Name + " Log Relative", value: logPriceRelative1.toFixed(4) }, { id: "logPriceRelative2", label: item2Name + " Log Relative", value: logPriceRelative2.toFixed(4) }, { id: "logPriceRelative3", label: item3Name + " Log Relative", value: logPriceRelative3.toFixed(4) } ]; intermediateResults.forEach(function(result) { var element = document.getElementById(result.id); element.innerHTML = "" + result.label + "" + result.value + ""; }); // Update Table updateTable({ item1Name: item1Name, item1PriceBase: item1PriceBase, item1PriceCurrent: item1PriceCurrent, item1Weight: item1Weight, item2Name: item2Name, item2PriceBase: item2PriceBase, item2PriceCurrent: item2PriceCurrent, item2Weight: item2Weight, item3Name: item3Name, item3PriceBase: item3PriceBase, item3PriceCurrent: item3PriceCurrent, item3Weight: item3Weight, priceRelative1: priceRelative1, priceRelative2: priceRelative2, priceRelative3: priceRelative3, weightedComponent1: weightedComponent1, weightedComponent2: weightedComponent2, weightedComponent3: weightedComponent3, logPriceRelative1: logPriceRelative1, logPriceRelative2: logPriceRelative2, logPriceRelative3: logPriceRelative3, totalWeight: totalWeight, totalWeighted: (weightedComponent1 + weightedComponent2 + weightedComponent3) }); // Update Chart updateChart({ item1Name: item1Name, item2Name: item2Name, item3Name: item3Name, priceRelative1: priceRelative1, priceRelative2: priceRelative2, priceRelative3: priceRelative3, logPriceRelative1: logPriceRelative1, logPriceRelative2: logPriceRelative2, logPriceRelative3: logPriceRelative3 }); } function updateTable(data) { if (!data) { document.getElementById("dataTableBody").innerHTML = ` Enter values to see the table. `; return; } document.getElementById("table-caption").innerText = "Consumer Price Index Basket Components (Current Data)"; document.getElementById("tableName1").innerText = data.item1Name; document.getElementById("tablePriceBase1").innerText = data.item1PriceBase.toFixed(2); document.getElementById("tablePriceCurrent1").innerText = data.item1PriceCurrent.toFixed(2); document.getElementById("tableWeight1").innerText = data.item1Weight.toFixed(1) + "%"; document.getElementById("tableRelative1").innerText = data.priceRelative1.toFixed(3); document.getElementById("tableWeighted1").innerText = (data.weightedComponent1 * 100).toFixed(3) + "%"; // Show as percentage for clarity in table document.getElementById("tableLogRelative1").innerText = data.logPriceRelative1.toFixed(4); document.getElementById("tableName2").innerText = data.item2Name; document.getElementById("tablePriceBase2").innerText = data.item2PriceBase.toFixed(2); document.getElementById("tablePriceCurrent2").innerText = data.item2PriceCurrent.toFixed(2); document.getElementById("tableWeight2").innerText = data.item2Weight.toFixed(1) + "%"; document.getElementById("tableRelative2").innerText = data.priceRelative2.toFixed(3); document.getElementById("tableWeighted2").innerText = (data.weightedComponent2 * 100).toFixed(3) + "%"; document.getElementById("tableLogRelative2").innerText = data.logPriceRelative2.toFixed(4); document.getElementById("tableName3").innerText = data.item3Name; document.getElementById("tablePriceBase3").innerText = data.item3PriceBase.toFixed(2); document.getElementById("tablePriceCurrent3").innerText = data.item3PriceCurrent.toFixed(2); document.getElementById("tableWeight3").innerText = data.item3Weight.toFixed(1) + "%"; document.getElementById("tableRelative3").innerText = data.priceRelative3.toFixed(3); document.getElementById("tableWeighted3").innerText = (data.weightedComponent3 * 100).toFixed(3) + "%"; document.getElementById("tableLogRelative3").innerText = data.logPriceRelative3.toFixed(4); document.getElementById("tableTotalWeight").innerText = data.totalWeight.toFixed(1) + "%"; document.getElementById("tableTotalWeighted").innerText = (data.totalWeighted * 100).toFixed(3) + "%"; } function updateChart(data) { var ctx = document.getElementById('priceRelativeChart').getContext('2d'); // Destroy previous chart instance if it exists if (chartInstance) { chartInstance.destroy(); } if (!data) { // Optionally clear canvas or show placeholder text ctx.clearRect(0, 0, ctx.canvas.width, ctx.canvas.height); ctx.font = "16px Arial"; ctx.fillStyle = "grey"; ctx.textAlign = "center"; ctx.fillText("Enter inputs to see chart", ctx.canvas.width / 2, ctx.canvas.height / 2); return; } // Chart Data var labels = [data.item1Name, data.item2Name, data.item3Name]; var priceRelatives = [data.priceRelative1, data.priceRelative2, data.priceRelative3]; var logPriceRelatives = [data.logPriceRelative1, data.logPriceRelative2, data.logPriceRelative3]; chartInstance = new Chart(ctx, { type: 'bar', // or 'line' data: { labels: labels, datasets: [{ label: 'Price Relative', data: priceRelatives, backgroundColor: 'rgba(0, 74, 153, 0.6)', // Primary color, semi-transparent borderColor: 'var(–primary-color)', borderWidth: 1 }, { label: 'Log Price Relative', data: logPriceRelatives, backgroundColor: 'rgba(40, 167, 69, 0.6)', // Success color, semi-transparent borderColor: 'var(–success-color)', borderWidth: 1 }] }, options: { responsive: true, maintainAspectRatio: true, // Adjust as needed, but true is good for responsiveness scales: { y: { beginAtZero: false, // Start scale based on data range title: { display: true, text: 'Value' } } }, plugins: { legend: { position: 'top', }, title: { display: true, text: 'Comparison of Price Relative and Log Price Relative' } } } }); } function copyResults() { var primaryResult = document.getElementById("primary-result").innerText; var intermediates = document.querySelectorAll(".intermediate-results div"); var formulaDiv = document.getElementById("formula-explanation"); // Consider copying formula too var assumptions = []; // Extract assumptions from input fields assumptions.push("Base Year CPI: " + document.getElementById("baseYearIndex").value); assumptions.push("Current Year CPI: " + document.getElementById("currentYearIndex").value); assumptions.push(document.getElementById("item1Name").value + " Base Price: " + document.getElementById("item1PriceBase").value); assumptions.push(document.getElementById("item1Name").value + " Current Price: " + document.getElementById("item1PriceCurrent").value); assumptions.push(document.getElementById("item1Name").value + " Weight: " + document.getElementById("item1Weight").value + "%"); assumptions.push(document.getElementById("item2Name").value + " Base Price: " + document.getElementById("item2PriceBase").value); assumptions.push(document.getElementById("item2Name").value + " Current Price: " + document.getElementById("item2PriceCurrent").value); assumptions.push(document.getElementById("item2Name").value + " Weight: " + document.getElementById("item2Weight").value + "%"); assumptions.push(document.getElementById("item3Name").value + " Base Price: " + document.getElementById("item3PriceBase").value); assumptions.push(document.getElementById("item3Name").value + " Current Price: " + document.getElementById("item3PriceCurrent").value); assumptions.push(document.getElementById("item3Name").value + " Weight: " + document.getElementById("item3Weight").value + "%"); var resultText = "— CPI Calculation Results —\n\n"; resultText += "Primary Result (CPI): " + primaryResult + "\n\n"; resultText += "— Intermediate Values —\n"; intermediates.forEach(function(div) { resultText += div.innerText.replace(" ", ": ") + "\n"; // Basic formatting }); resultText += "\n— Key Assumptions —\n"; assumptions.forEach(function(assumption) { resultText += "- " + assumption + "\n"; }); // Use a temporary textarea to copy var tempTextArea = document.createElement("textarea"); tempTextArea.value = resultText; tempTextArea.style.position = "fixed"; // Hide from view tempTextArea.style.left = "-9999px"; tempTextArea.style.top = "-9999px"; document.body.appendChild(tempTextArea); tempTextArea.focus(); tempTextArea.select(); try { var successful = document.execCommand('copy'); var msg = successful ? 'Results copied to clipboard!' : 'Copying failed!'; console.log(msg); // Feedback to console or a temporary notification // Optionally display a temporary message on screen displayToast(msg); } catch (err) { console.error('Fallback: Oops, unable to copy', err); displayToast('Copying failed. Please copy manually.'); } document.body.removeChild(tempTextArea); } function displayToast(message) { var toast = document.createElement("div"); toast.style.position = "fixed"; toast.style.bottom = "20px"; toast.style.left = "50%"; toast.style.transform = "translateX(-50%)"; toast.style.backgroundColor = "rgba(0,0,0,0.7)"; toast.style.color = "white"; toast.style.padding = "10px 20px"; toast.style.borderRadius = "5px"; toast.style.zIndex = "10000"; toast.style.opacity = "0"; toast.style.transition = "opacity 0.5s"; toast.innerText = message; document.body.appendChild(toast); setTimeout(function() { toast.style.opacity = "1"; }, 100); setTimeout(function() { toast.style.opacity = "0"; toast.addEventListener('transitionend', function() { toast.remove(); }); }, 3000); } function resetCalculator() { document.getElementById("baseYearIndex").value = 100; document.getElementById("currentYearIndex").value = 275.37; document.getElementById("item1Name").value = "Bread"; document.getElementById("item1PriceBase").value = 1.50; document.getElementById("item1PriceCurrent").value = 3.00; document.getElementById("item1Weight").value = 10; document.getElementById("item2Name").value = "Gasoline"; document.getElementById("item2PriceBase").value = 2.00; document.getElementById("item2PriceCurrent").value = 4.50; document.getElementById("item2Weight").value = 5; document.getElementById("item3Name").value = "Rent"; document.getElementById("item3PriceBase").value = 500; document.getElementById("item3PriceCurrent").value = 750; document.getElementById("item3Weight").value = 30; // Clear errors var errorElements = document.querySelectorAll('.error-message'); errorElements.forEach(function(el) { el.innerText = "; el.classList.remove('visible'); }); calculateCPI(); // Recalculate with default values } function clearIntermediateResults() { var intermediateResults = document.querySelectorAll('.intermediate-results div'); intermediateResults.forEach(function(div) { div.innerHTML = ""; }); } function toggleFaq(element) { var content = element.nextElementSibling; var faqItem = element.closest('.faq-item'); faqItem.classList.toggle('active'); } // Initial calculation on page load window.onload = function() { calculateCPI(); // Ensure chart renders correctly on load if canvas context is ready var canvas = document.getElementById('priceRelativeChart'); if (canvas.getContext) { updateChart(null); // Call with null to show placeholder if no initial data // Trigger initial calculation to populate chart if inputs are not default calculateCPI(); } }; // — Chart.js Integration — // Include Chart.js library – You need to host this or use a CDN // For a single file, you'd typically embed it or link to a local copy. // Assuming Chart.js is available globally (e.g., via CDN in a WP theme header or plugin) // If not, you'd need to include the library script here or in the . // Example CDN link (replace with a specific version if needed): //

Leave a Comment