Welcome to the MNREGA (Mahatma Gandhi National Rural Employment Guarantee Act) Data Analysis project! This Jupyter Notebook dives deep into the patterns, performance, and insights from India's largest rural employment scheme.
- 📓
MNREGA.ipynb– The main notebook with all the data crunching and visualizations. - 📄
MNREGA.csv– The dataset used (make sure it's in the same folder!).
🧪 This project uses the following Python libraries:
- 🐼
pandas– Data handling - 🔢
numpy– Numerical operations - 🎨
matplotlib– Visualization - 📊
seaborn– Advanced plotting
- ⬇️ Clone this repo or download the files manually.
- 🐍 Make sure you have Python 3.7+ installed.
- 📦 Install the required libraries:
pip install pandas numpy matplotlib seaborn
🚪 Open the notebook:
bash Copy Edit jupyter notebook MNREGA.ipynb 📌 Place the MNREGA.csv file in the same directory as the notebook.
🔍 What’s Inside This notebook includes:
🧹 Data cleaning & preprocessing
🔍 Exploratory Data Analysis (EDA)
📊 Visualizations of employment trends
🗺️ Region/time-based comparisons
📈 Insights into MNREGA performance metrics
🧠 About MNREGA The Mahatma Gandhi National Rural Employment Guarantee Act is a flagship scheme by the Indian government ensuring livelihood security in rural areas by providing at least 100 days of wage employment.
🤝 Contributing Suggestions, corrections, and enhancements are always welcome! Feel free to fork, star ⭐, and submit a pull request.
📬 Contact For queries, ideas, or just to say hi 👋, open an issue or reach out via email!
💡 “Data is the new oil, and analysis is the refinery.” 🛢️📉