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AccAnalytics - Axcera

A modern, feature-rich customer analytics table built with Next.js, TypeScript, and Ant Design-styled components.

🚀 Features

📊 Advanced Table Management

  • 100 Randomized Records - Realistic customer data for testing
  • Lazy Loading - Loads 10 records at a time for optimal performance
  • Infinite Scroll - Automatic loading when scrolling to bottom
  • Column Management - Drag & drop reordering, show/hide columns
  • Responsive Design - Works seamlessly on all devices

🔍 Powerful Filtering System

  • Advanced Search - Search across multiple fields simultaneously
  • Multi-Platform Filter - Filter by MetaTrader 4/5, cTrader, DXTrade, TradingView
  • Status Filtering - Active, Inactive, Pending, Suspended, Closed
  • Category Filter - Live, Demo, Practice, Paper, Simulation accounts
  • Date Range Picker - Custom date range filtering
  • Filter Chips - Visual representation of active filters
  • Saved Filters - Save and restore filter combinations
  • Quick Clear - One-click filter clearing

🎨 Ant Design Styling

  • Professional UI - Clean, modern Ant Design aesthetic
  • Consistent Colors - Blue primary (#1890ff) with proper gray scales
  • Hover Effects - Interactive table rows and buttons
  • Sticky Filter Bar - Always accessible filtering while scrolling
  • Smooth Animations - Polished user experience

🛠️ Tech Stack

  • Framework: Next.js 15.2.4 with App Router
  • Language: TypeScript
  • UI Components: shadcn/ui with Ant Design styling
  • Styling: Tailwind CSS
  • Icons: Lucide React
  • Date Handling: date-fns 3.6.0
  • Form Management: React Hook Form
  • Notifications: Sonner

📦 Installation

# Clone the repository
git clone https://github.com/yourusername/AccAnalytics-Axcera.git
cd AccAnalytics-Axcera

# Install dependencies
npm install

# Start development server
npm run dev

🚀 Usage

  1. Browse Data: View customer records with lazy loading
  2. Search: Use the advanced search bar to find specific customers
  3. Filter: Apply multiple filters simultaneously
  4. Customize: Drag columns to reorder, hide unwanted columns
  5. Save Filters: Create saved filter combinations for quick access

📱 Features in Detail

Column Management

  • Edit Mode: Click "Edit Columns" to enter management mode
  • Drag & Drop: Reorder columns by dragging headers
  • Show/Hide: Add or remove columns via the "Add Column" dropdown
  • Reset: Return to default column configuration

Filter System

  • Sticky Header: Filter bar stays visible while scrolling
  • Real-time: Filters apply immediately as you type/select
  • Visual Feedback: Active filters shown as removable chips
  • Persistence: Filter state saved in localStorage

Performance

  • Lazy Loading: Only loads 10 records initially
  • Infinite Scroll: Automatically loads more when scrolling
  • Optimized Rendering: Efficient React patterns for smooth scrolling

🎯 Data Schema

Each customer record includes:

  • Account Info: Account number, customer ID, order number
  • Personal Details: Name, email, phone, address
  • Trading Data: Balance, equity, platform, status
  • Account Status: Type, program level, upgrade history
  • Compliance: Breach reasons, verification status

🔧 Development

# Development server
npm run dev

# Build for production
npm run build

# Start production server
npm start

# Lint code
npm run lint

📊 Performance Features

  • Virtual Scrolling: Handles large datasets efficiently
  • Memoized Components: Optimized re-rendering
  • Debounced Search - Reduces API calls during typing
  • Cached Filters - Quick filter application

🎨 Customization

The project uses Ant Design color scheme:

  • Primary Blue: #1890ff and variants
  • Grays: #f5f5f5, #d9d9d9, #8c8c8c
  • Success/Error: Standard Ant Design colors

🔄 Future Enhancements

  • Export to CSV/Excel
  • Advanced sorting options
  • Real-time data synchronization
  • Multi-user collaboration
  • Custom dashboard views
  • API integration
  • Dark mode support

📝 License

This project is licensed under the MIT License.

👥 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.


Built with ❤️ for Axcera Analytics

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