📊 CodeAlpha - Unemployment Analysis using Python

📌 Project Overview

This project analyzes unemployment trends in India using Python. It focuses on data cleaning, visualization, and understanding the impact of COVID-19 on unemployment rates.

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📂 Dataset

• Dataset: Unemployment Rate in India
• Contains:
  • Region
  • Date
  • Unemployment Rate
  • Employment Data
  • Labour Participation Rate

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🛠️ Technologies Used

• Python
• Pandas
• Matplotlib
• Seaborn

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⚙️ Features

• Data Cleaning & Preprocessing
• Exploratory Data Analysis (EDA)
• Trend Visualization
• Region-wise Comparison
• COVID-19 Impact Analysis
• Key Insights Extraction

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📈 Visualizations

📈 Unemployment Trend

📊 Region-wise Comparison

🦠 COVID-19 Impact

📊 Final Output & Insights

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📌 Key Insights

• Highest Unemployment Region: Haryana
• Lowest Unemployment Region: Meghalaya
• Average Unemployment Rate: ~12%
• Peak Unemployment Month (2020): May

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▶️ How to Run

1. Clone repository: git clone YOUR_GITHUB_LINK

2. Navigate to folder: cd CodeAlpha_Unemployment

3. Create virtual environment: python3 -m venv venv source venv/bin/activate

4. Install dependencies: pip install -r requirements.txt

5. Run project: python unemployment_analysis.py

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📁 Project Structure

CodeAlpha_Unemployment/ │ ├── images/ ├── unemployment.csv ├── unemployment_analysis.py ├── README.md ├── requirements.txt └── .gitignore

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🎯 Conclusion

This project provides insights into unemployment trends and highlights the significant impact of COVID-19 on employment rates. It demonstrates practical use of data analysis and visualization techniques in Python.

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👨‍💻 Author

Darshan S