Credit Card Fraud Detection Dashboard.

 Credit Card Fraud Detection and Analysis Dashboard.

This project is about analyzing credit card transactions to identify fraud cases using Power BI. In this dashboard, I used a real dataset to understand how fraud happens and how we can detect it using data. Different factors like transaction amount, time, country, and type are used to analyze patterns. The main goal is to separate fraud transactions and genuine transactions and understand their behavior.

🔹 Summary

This project shows how Power BI can be used to analyze credit card data and detect fraud.
I created different charts and visuals to compare fraud and genuine transactions. It also includes a simple risk analysis to understand which transactions are more risky.

🔹 Features.

• Fraud vs Genuine transaction analysis.
• Amount-wise and time-wise analysis.
• Country-wise fraud comparison.
• Merchant category analysis.
• Risk level classification. (High, Medium, Low)
• Interactive dashboard with multiple visuals.

🔹 Dashboard Description.

The dashboard includes different types of charts like donut chart, bar chart, column chart, and table.It clearly shows:

• how many transactions are fraud
• which category has more fraud
• how transaction amount and time affect fraud

The dashboard is interactive and easy to understand.

🔹 Conclusion

This project helps in understanding fraud detection using data.
It shows that analyzing patterns like amount, location, and transaction type can help identify fraud. Power BI makes it easy to visualize and understand such data.