Generate random-ish bell curve data

known-pleasures-utils.js

export const generateRandomBellCurveData = (size, min = 0, max = 100) => {
    // Function to add pronounced randomness to the curve
    const randomize = (val, min, max, noiseLevel = 0.5) => {
        // Apply random noise based on noise level
        const noise = (Math.random() * 2 - 1) * noiseLevel;
        return Math.max(min, Math.min(max, val + noise));
    };

    // Generate Y values with normal distribution characteristics
    const yValues = Array.from({ length: size }, (_, i) => {
        // Convert index to range from -1 to 1 (centered and normalized)
        const x = (i / (size - 1)) * 2 - 1;
        // Generate values based on a bell curve formula
        const y = Math.exp(-Math.pow(x * 3, 2));
        // Scale to the min-max range
        const scaledY = min + y * (max - min);
        // Add random fluctuations with a higher noise level for more pronounced randomness
        return randomize(scaledY, min, max, 10); // Increase the third parameter for more noise
    });

    return yValues;
};