https://github.com/iama02/vet-medicine-analysis
Analysis of 50,000+ veterinary medicine records with Pandas and NumPy, highlighting dosage forms, manufacturers, indications, and shelf life trends.
https://github.com/iama02/vet-medicine-analysis
numpy pandas python
Last synced: 3 months ago
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Analysis of 50,000+ veterinary medicine records with Pandas and NumPy, highlighting dosage forms, manufacturers, indications, and shelf life trends.
- Host: GitHub
- URL: https://github.com/iama02/vet-medicine-analysis
- Owner: iama02
- Created: 2025-08-18T17:12:56.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2025-08-18T17:23:08.000Z (11 months ago)
- Last Synced: 2025-08-18T19:24:39.577Z (11 months ago)
- Topics: numpy, pandas, python
- Language: Jupyter Notebook
- Homepage:
- Size: 1.12 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
🐾 Veterinary Medicines Data Analysis
This repository presents an exploratory data analysis (EDA) of a comprehensive veterinary medicines dataset (50,000+ records) using Python (Pandas & NumPy).
The project demonstrates skills in data cleaning, feature engineering, and preparation for advanced visualization, making it an excellent resource for both data enthusiasts and professionals in the veterinary/healthcare domain.
🚀 Key Analyses
🔬 Data Cleaning & Transformation – handled missing values, standardized formats
💊 Summarization – by dosage form, manufacturer, and indication
🗂️ Feature Engineering – extracted numeric strength (mg) and calculated shelf life (days)
📊 Data Preparation – structured dataset for visualization and trend analysis
📁 Dataset Features
Name – Medicine name
Category – Type of medicine (e.g., antibiotic, antiviral)
Dosage Form – Cream, injection, ointment, etc.
Strength – Dosage strength (mg)
Manufacturer – Company producing the medicine
Indication – Medical use case (infection, wound, etc.)
Classification – Prescription or over-the-counter (OTC)
Manufactured Date – Date of production
Expiry Date – Expiration date
🛠️ Getting Started
1️⃣ Clone the repository
git clone https://github.com/iama02/vet-medicine-analysis.git
2️⃣ Open the notebook
Launch vet_med.ipynb in JupyterLab or VS Code
3️⃣ Install dependencies
pip install pandas numpy
🔮 Next Steps
📊 Add visualizations using Matplotlib & Seaborn
📈 Explore deeper expiry trends, strength variations, and manufacturer distribution
🧠 Extend analysis with predictive modeling (expiry prediction, demand forecasting)
📄 License
This project is licensed under the MIT License.