ndk22 / credit-card-defaulter-powerbi-dashboard

Credit Card Defaulter List Dashboard in Power BI

This repository contains a Power BI dashboard that visualizes credit card defaulter statistics across various demographic categories. The dashboard provides insights into default patterns and trends based on different factors.

Dashboard Overview

The dashboard consists of several key visualizations:

• Defaulted by Education Level and Gender

  • A bar chart showing the count of defaulters categorized by education level and gender.

• Defaulted by Age and Gender

  • A scatter plot or bar chart displaying defaulters based on age groups and gender.

• Defaulted by State and Gender

  • A map or bar chart illustrating defaulters distributed by state and gender.

• Defaulted by Marital Status and Gender

  • A visual representation of defaulters segmented by marital status and gender.

• Default Ratio

  • A metric or gauge indicating the percentage of defaulted accounts out of total accounts.

• Latest Average Bill Amount

  • A card or KPI showing the average bill amount of the most recent billing cycle.

• Latest Average Pay Amount

  • A card or KPI displaying the average payment amount made by defaulters in the latest period.

Data Sources

The dashboard is powered by data extracted from credit card default records. This includes demographic details such as education level, age, gender, state, marital status, bill amounts, payment history, and default status.

Key Insights

• Demographic Patterns: Identify which demographic groups are more prone to defaulting on credit card payments.
• Geographical Trends: Understand default rates across different states or regions.
• Behavioral Analysis: Analyze average bill amounts and payment behaviors among defaulters.

How to Use

To interact with the dashboard:

• Filters: Utilize filters to focus on specific demographic segments or date ranges.
• Drill-Down: Drill down into specific categories to explore deeper insights.
• Interactivity: Click on visual elements to cross-filter and highlight related data points.

Future Enhancements

Future enhancements to this dashboard could include:

• Adding trend analysis over time.
• Incorporating predictive analytics to forecast potential defaulters.
• Integrating with live data sources for real-time updates.

Deployment

This Power BI dashboard can be deployed to Power BI Service for sharing with stakeholders or embedded into other applications for wider accessibility.

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For more details and to access the live dashboard, please refer to the repository and associated files.