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Stripe Payments Analytics Dashboard

A modern, interactive dashboard for analyzing Stripe payment transactions with detailed metrics, trends, and insights. Built with React, TypeScript, and Tailwind CSS.

Features

Transaction Analytics

  • Monthly Volume Trends: Track payment volume changes over time with growth indicators
  • Transaction Velocity: Monitor transaction frequency and peak processing times
  • Processing Efficiency: Analyze payment processing times with distribution metrics
  • Exchange Rate Analysis: Track NGN/USD exchange rate trends and volatility
  • Transaction Size Distribution: Visualize payment amounts across different segments

Key Metrics

  • Total transaction volume in NGN and USD
  • Average transaction size
  • Volume-weighted exchange rates
  • Processing time distribution
  • Monthly growth trends
  • Transaction success rates

Interactive Features

  • 📊 Interactive charts with hover states
  • 📋 Click-to-copy functionality for numeric values
  • 🔍 Detailed tooltips for all metrics
  • 📈 Expandable sections for in-depth analysis
  • 🎨 Modern, responsive design

Technology Stack

  • Frontend Framework: React with TypeScript
  • Styling: Tailwind CSS
  • Charts: Chart.js with react-chartjs-2
  • Date Handling: date-fns
  • Icons: Lucide React
  • Payment Processing: Stripe API

Getting Started

  1. Clone the repository:
git clone https://github.com/onyedikachi-david/my-algora-stripe-payments.git
cd my-algora-stripe-payments
  1. Install dependencies:
npm install
  1. Set up environment variables:
cp .env.example .env
# Add your Stripe API keys and other configuration
  1. Start the development server:
npm run dev

Project Structure

src/
├── components/           # React components
│   ├── TransactionMetrics.tsx    # Main metrics component
│   ├── CurrencyDistributionChart.tsx
│   ├── ExchangeRateAnalysis.tsx
│   └── ...
├── types/               # TypeScript type definitions
├── utils/               # Utility functions
└── App.tsx             # Main application component

Features in Detail

Transaction Metrics

  • Comprehensive analysis of transaction volumes
  • Trend indicators for key metrics
  • Comparative analysis with historical data
  • Processing time distribution visualization

Exchange Rate Analysis

  • Volume-weighted average rates
  • Exchange rate volatility metrics
  • Spread analysis and trends
  • Rate efficiency indicators

Financial Insights

  • Month-over-month growth analysis
  • Average ticket size tracking
  • Transaction size segmentation
  • Peak activity patterns

Contributing

  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/AmazingFeature)
  3. Commit your changes (git commit -m 'Add some AmazingFeature')
  4. Push to the branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

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