Project linear growth and visualize data patterns over time.
Days
Weeks
Months
Years
Visual Projection
Data Summary Table
Period
Calculated Value
Cumulative Change
Understanding Linear Projection Charts
A projection chart is an essential tool for forecasting future values based on a constant rate of change. Whether you are tracking user acquisition, inventory usage, or physical distance over time, understanding the linear trajectory helps in strategic planning and resource allocation.
How the Calculation Works
The logic behind this chart calculator follows a basic linear equation: y = mx + b. In this context:
Starting Value (b): Your baseline number at Period 0.
Increment (m): How much the value changes every time one period passes.
Period (x): The specific point in time (Day, Month, etc.).
Final Value (y): The projected result for that specific point in time.
Practical Examples
Suppose you are managing a warehouse. You currently have 500 units of stock (Starting Value). Every week, you receive a shipment of 50 new units (Increment). If you want to see your stock levels over 10 weeks:
Week 1: 550 units
Week 5: 750 units
Week 10: 1,000 units
This calculator allows you to visualize this growth instantly, identifying when you might reach specific milestones or capacity limits.
Interpreting the Results
When looking at the generated bar chart, the height of each bar represents the total value at that specific interval. A steady upward slope indicates positive linear growth, while a negative increment would show a downward trend. Analyzing these patterns is crucial for identifying "burn rates" or "growth velocities" in various technical and business environments.
function generateChart() {
var startValue = parseFloat(document.getElementById('startValue').value);
var growthRate = parseFloat(document.getElementById('growthRate').value);
var periodCount = parseInt(document.getElementById('periodCount').value);
var intervalType = document.getElementById('intervalLabel').value;
var resultArea = document.getElementById('resultArea');
var chartVisual = document.getElementById('chartVisual');
var tableBody = document.getElementById('tableBody');
var thLabel = document.getElementById('thLabel');
// Validation
if (isNaN(startValue) || isNaN(growthRate) || isNaN(periodCount) || periodCount 50) {
alert("Please limit periods to 50 for visual clarity.");
periodCount = 50;
}
// Setup UI
resultArea.style.display = "block";
chartVisual.innerHTML = "";
tableBody.innerHTML = "";
thLabel.innerText = intervalType;
var dataPoints = [];
var maxVal = 0;
var minVal = 0;
// Calculate Data
for (var i = 0; i maxVal) maxVal = currentVal;
if (currentVal < minVal) minVal = currentVal;
}
// Adjust for visualization scaling
var range = maxVal – minVal;
if (range === 0) range = 1;
// Populate Chart and Table
for (var j = 0; j < dataPoints.length; j++) {
var dp = dataPoints[j];
// Create Table Row
var row = document.createElement('tr');
row.innerHTML = "