This n8n workflow automates the analysis of flight dataset data and communicates visual insights via Telegram. It triggers on messages or commands from users, loads a CSV file containing flight records, and then generates various visualizations such as bar charts for airlines, pie charts for flight durations, doughnut charts for price distribution, and line charts for price trends. Each visualization is created using Chart.js configurations and embedded via QuickChart API, then sent directly to Telegram chat. This workflow is highly practical for travel agencies, data analysts, or airline dashboards to deliver real-time, visual travel data insights through Telegram bots, enhancing user engagement and decision-making.
Automated Flight Data Analysis Using Telegram and QuickChart
| Node Count | >20 Nodes |
|---|---|
| Nodes Used | code, extractFromFile, httpRequest, if, readWriteFile, stickyNote, switch, telegram, telegramTrigger |
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