Welcome to the CreditCard_Analytics project! This repository contains the files and resources required for analyzing and visualizing credit card data effectively.
This project focuses on analyzing credit card data to gain actionable insights into revenue trends, customer behavior, and performance metrics. It includes dashboards, visualizations, and reports created with tools like Power BI and Excel.
- Visualize revenue trends by various dimensions (e.g., age group, income group, customer job).
- Analyze top-performing states and customer segments.
- Generate weekly, monthly, and yearly insights.
- Comprehensive financial dashboards for decision-making.
CreditCard_Analytics/
├── data/ # Raw and processed data files
├── visuals/ # Power BI and chart export files
├── reports/ # Weekly and monthly reports
├── presentation/ # PPT files for presenting insights
├── scripts/ # Data processing and analysis scripts
└── README.md # Project documentation
- Power BI Desktop
- Python 3.8+ (optional, for advanced analysis)
- Excel 2016 or later
- Clone the repository:
git clone https://github.com/Ayushdash02/CreditCard_Analytics
- Install required dependencies if using Python scripts:
pip install -r requirements.txt
- Open the
data/folder and load the sample datasets. - Use the Power BI
.pbixfile in thevisuals/folder to explore the dashboard. - Generate reports from the
scripts/or view the ready-made ones in thereports/folder.
Contributions are welcome! Please follow these steps:
- Fork the repository.
- Create a feature branch:
git checkout -b feature-name. - Commit your changes and push to your fork.
- Submit a pull request.
This project is licensed under the MIT License. See the LICENSE file for details.
For further details or questions, feel free to contact [Your Name/Email] or open an issue on the repository!