Flight Data Visualization Telegram Bot with Chart.js & QuickChart

This n8n workflow powers a sophisticated Telegram bot for real-time flight data analytics. Users interact via commands to generate professional visualizations from CSV files, including bar charts for top airlines, pie charts for flight durations, doughnut charts for price segments, and line charts for price trends. Each chart comes with auto-generated insights, percentages, and metrics, sent as high-quality PNG images directly to the user's phone.

The architecture features a Telegram webhook trigger for user inputs, smart conditional routing for command detection, CSV parsing and JSON transformation, JavaScript-based data aggregation with Chart.js configurations, QuickChart API for image rendering, and binary image delivery back to Telegram. This setup enables seamless data-to-insight conversion without complex dashboards.

Benefits include democratizing data analytics for travel agencies, airlines, or frequent flyers by making visualizations accessible via chat. It saves hours of manual Excel work, supports on-demand business intelligence, and scales for team collaboration. Ideal use cases: monitoring flight volumes, pricing strategies, route optimization, and customer reporting in logistics or travel sectors.