{"id":23735502,"url":"https://github.com/sarathchandranpm/us-flight-delay","last_synced_at":"2026-02-18T01:02:30.644Z","repository":{"id":269781708,"uuid":"908445020","full_name":"SarathchandranPM/US-Flight-Delay","owner":"SarathchandranPM","description":"This Power BI project analyzes delay patterns in 2 million US commercial flights by examining flight status, cancellation reasons, and airline performance. 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The project demonstrates advanced data modeling, DAX calculations, and visualization techniques to generate actionable insights.\n\n### Technical Implementation:\n- Performed ETL operations using Power Query to clean and transform flight data\n- Created data model with relationships across four tables (Flights, Airlines, Airports, Cancellation Codes)\n- Implemented conditional columns for flight status categorization\n- Developed DAX measures for calculating delay and cancellation metrics\n- Designed interactive dashboard with multiple visualization types\n- Set appropriate interactions between charts\n- Published the report to Power BI Service\n\n### Key Visualizations:\n- Temporal analysis of delays/cancellations using line charts\n- Geographic distribution of flight volumes by city\n- Airline performance comparison through clustered bar charts\n- Cancellation reason breakdown via pie charts\n- Day-of-week cancellation patterns\n\u003cimg width=\"568\" alt=\"image\" src=\"https://github.com/user-attachments/assets/2ed13f3b-0a5d-4c8b-9ce1-84db1ff04d11\" /\u003e\n\n\u003cimg width=\"652\" alt=\"image\" src=\"https://github.com/user-attachments/assets/cf300d5f-f6b0-47a2-89f4-3667d01704a3\" /\u003e\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsarathchandranpm%2Fus-flight-delay","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsarathchandranpm%2Fus-flight-delay","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsarathchandranpm%2Fus-flight-delay/lists"}