https://github.com/sarathchandranpm/us-flight-delay
This Power BI project analyzes delay patterns in 2 million US commercial flights by examining flight status, cancellation reasons, and airline performance. Using advanced data modeling, DAX calculations, and interactive visualizations, the analysis reveals insights about flight delays across different cities, airlines, and time periods.
https://github.com/sarathchandranpm/us-flight-delay
datamodeling datavisualization dax powerbi powerquery
Last synced: 5 months ago
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This Power BI project analyzes delay patterns in 2 million US commercial flights by examining flight status, cancellation reasons, and airline performance. Using advanced data modeling, DAX calculations, and interactive visualizations, the analysis reveals insights about flight delays across different cities, airlines, and time periods.
- Host: GitHub
- URL: https://github.com/sarathchandranpm/us-flight-delay
- Owner: SarathchandranPM
- Created: 2024-12-26T05:09:28.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-12-26T05:37:57.000Z (over 1 year ago)
- Last Synced: 2025-10-09T04:08:18.816Z (10 months ago)
- Topics: datamodeling, datavisualization, dax, powerbi, powerquery
- Homepage: https://app.powerbi.com/groups/me/reports/bd2211f3-9240-4a3f-9906-f759be31ecf5/423d781a6e1c5ede239e?experience=power-bi
- Size: 1.37 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
## US Flight Delay Analysis Project
A comprehensive Power BI analysis of 2 million commercial flights from major US airports to identify patterns in flight delays and cancellations. The project demonstrates advanced data modeling, DAX calculations, and visualization techniques to generate actionable insights.
### Technical Implementation:
- Performed ETL operations using Power Query to clean and transform flight data
- Created data model with relationships across four tables (Flights, Airlines, Airports, Cancellation Codes)
- Implemented conditional columns for flight status categorization
- Developed DAX measures for calculating delay and cancellation metrics
- Designed interactive dashboard with multiple visualization types
- Set appropriate interactions between charts
- Published the report to Power BI Service
### Key Visualizations:
- Temporal analysis of delays/cancellations using line charts
- Geographic distribution of flight volumes by city
- Airline performance comparison through clustered bar charts
- Cancellation reason breakdown via pie charts
- Day-of-week cancellation patterns
