Bank Transaction Analyzer

A finance transaction analyzer built with Streamlit, Pandas, and Seaborn for visualizing banking data.

A simple yet insightful dashboard designed to help you analyze and visualize your bank transaction data with ease.

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Features

• Interactive Data Display: Easily view and sort transaction details.
• Dynamic Visualizations:
  • Transactions Over Time
  • Spending by Category
• Realistic Transaction Data: Mock data with meaningful descriptions tailored to Switzerland.

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Screenshots

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▶Live Demo

Check out the live application hosted on Streamlit Cloud:

View Live App

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🛠️ Technologies Used

• Streamlit
• Pandas
• Matplotlib
• Seaborn
• Faker
• Python

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Getting Started (Local Installation)

To run this project locally:

1. Clone this repository:

git clone https://github.com/oksanalim/bank-transaction-analyzer.git

cd bank-transaction-analyzer

2. Install dependencies:

pip install -r requirements.txt

3. Run the Streamlit app:

streamlit run dashboard.py

Data Source The current data is mock data generated using Faker for demonstration purposes.

To generate your own transaction data, simply run:

python generate_mock_data.py

🤝 Contributing Feel free to fork this repository, submit issues, and send pull requests. Contributions are welcome!