ADME.md`

# Medical Charges Analysis 🏥💰

This project explores and visualizes a dataset of medical insurance charges based on age, BMI, smoking status, and other features. The goal is to understand what factors impact healthcare costs.

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## 📊 Dataset

- Source: [JovianML - medical-charges.csv](https://raw.githubusercontent.com/JovianML/opendatasets/master/data/medical-charges.csv)
- Rows: 1338
- Features: Age, Sex, BMI, Children, Smoker, Region, Charges

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## 📌 Features Explored

- Age vs Charges
- BMI Distribution
- Charges by Smoking Status
- Correlation Matrix
- Boxplot & Histogram Visualizations

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## 🧪 Tools Used

- Python 🐍
- Pandas
- Plotly
- Seaborn
- Matplotlib
- Jupyter Notebook

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## 📁 How to Run

1. Clone the repository:
   ```bash
   git clone https://github.com/your-username/medical-charges-analysis.git
   cd medical-charges-analysis

2. Install dependencies (optional):

   pip install -r requirements.txt

3. Open the notebook:

   jupyter notebook analysis.ipynb

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📈 Sample Output

Visualizations of charges by smoker, age, BMI, and region.

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✅ License

This project is open-source and available under the MIT License.