Building a React Dashboard from Scratch
Building a React Dashboard from Scratch
Recently, I had the opportunity to build a comprehensive analytics dashboard for a fintech client. In this post, I'll walk you through my approach, the challenges I faced, and the solutions I implemented.
Project Overview
The dashboard needed to:
- Display real-time financial data
- Support multiple user roles with different permissions
- Be responsive across all devices
- Handle large datasets efficiently
- Provide intuitive data visualization
Architecture Decisions
Component Structure
I organized the components into three main layers:
- Presentational Components - Reusable UI elements
- Container Components - Logic and state management
- Page Components - Route-level containers
This separation made the codebase scalable and maintainable.
State Management
I used Redux for global state management because:
- Complex data relationships between different dashboard sections
- Need for time-travel debugging during development
- Team familiarity with Redux patterns
Data Visualization
For charts and graphs, I selected Chart.js with React-ChartJS-2 wrapper because it offered:
- Excellent performance with large datasets
- Customizable styling to match brand colors
- Good documentation and community support
Performance Optimization
Some key optimizations I implemented:
- Code Splitting - Lazy loaded dashboard sections
- Memoization - Used React.memo for expensive components
- Virtual Scrolling - For large data tables with thousands of rows
- API Caching - Implemented cache layer to reduce API calls
Results
The final dashboard exceeded expectations:
- ✅ 98 Lighthouse performance score
- ✅ Sub-100ms response times for user interactions
- ✅ Support for 10,000+ data points without lag
- ✅ 95% reduction in API calls through caching
This project reinforced the importance of planning architecture early and continuously optimizing for performance.
About the Author
Full-stack web developer with 5+ years of experience. Passionate about building performant, scalable applications and sharing knowledge with the community.