correlation-stats-analyzer 0.1.0

A simple tool to compute and interpret Pearson correlation coefficients.

📊 correlation_stats_analyzer

A lightweight Python package to compute and interpret the strength and direction of correlation between two numerical datasets using the Pearson Correlation Coefficient.

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🚀 Features

• ✅ Compute the Pearson correlation coefficient between two numeric lists.
• ✅ Interpret the result in terms of strength and direction (e.g., "Strong Positive").
• ✅ Zero dependencies – works with standard Python only.
• ✅ Designed for data science beginners, educators, and small-scale analysis scripts.

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📦 Installation

pip install correlation_stats_analyzer

🧪 Usage Example

import correlation_stats_analyzer as csa

x = [10, 20, 30, 40, 50]
y = [12, 22, 29, 41, 52]

r = csa.correlation_r(x, y)

strength, direction = csa.interpret_r(r)

print(f"Pearson r: {r:.4f}")
print(f"Strength: {strength}, Direction: {direction}")