🏥 Healthcare Product Analytics

📌 Overview

Healthcare Product Analytics is a Python-based data analytics project designed to analyze medicine datasets, generate business insights, validate data quality, and visualize trends.

This project demonstrates real-world data analysis techniques used by Data Analysts and Business Analysts.

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🚀 Features

• Load medicine dataset from CSV
• Data quality validation
• Missing value detection
• Duplicate row detection
• Invalid price detection
• Automatic quality report generation
• Data cleaning pipeline
• Export cleaned dataset
• Modular Python architecture

🛠 Technologies

• Python
• Pandas
• Matplotlib
• CSV
• Git
• GitHub

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Healthcare_Product_Analytics/ │ ├── main.py ├── config.py ├── data_loader.py ├── validator.py ├── report.py │ ├── data/ │ ├── medicine_data.csv │ └── clean_medicine_data.csv │ ├── reports/ │ └── quality_report.txt │ ├── charts/ ├── exports/ ├── docs/ ├── logs/ ├── tests/ └── config/

Sample Output (v3.3)

🎯 Future Versions

• Exploratory Data Analysis (v3.4)
• Advanced Visualizations
• Excel Export
• SQLite Database
• Power BI Dashboard
• Machine Learning
• Streamlit Dashboard

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👨‍💻 Author

Pushpendu Chakraborty

GitHub: https://github.com/Pnc-Tech/Healthcare-Product-Analytics

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💻 Console Output

📊 Data Quality Report

📁 Project Structure