Temperature Data Analysis (OOP & Modularity)

This repository contains a technical implementation for processing thermal sensor data, focusing on modularity and object-oriented design principles as part of the Microsoft Python Development certification.

🎯 Project Goal

The primary goal of this project was to transform a procedural workflow into a modular system. The TemperatureData class was designed to centralize analysis logic, allowing each sensor instance to manage its own readings and calculations independently.

💡 Key Skills Demonstrated

• Modular Design (Encapsulation): The class acts as a self-contained module that groups both data (readings) and behavior (analytical methods).
• Object Instance Management: Ability to manage multiple sensor objects, each maintaining a unique state and data context.
• Data Processing: Implementation of algorithms to derive key statistical insights from raw data:
  • Average Calculation: Uses the formula $$Average = \frac{\sum Readings}{n}$$
  • Extreme Value Identification: Dynamic detection of maximum and minimum values through max() and min() methods.
  • Range Analysis: Internalized logic to determine thermal variability directly from the object's state.

📂 Files Info:

• temperature_data_analysis.ipynb — The main Jupyter Notebook containing the complete code and execution output.