Summary

This Power BI airline delay dashboard helps users explore flight-delay patterns through correlation, trend, comparison, and geographic analysis. It provides several interactive views for investigating how the available delay measures relate to one another and change across time and location.

The report was created by Zulay Vivas for the December 2024 FP20 Analytics ZoomCharts Challenge using the Airline Delays Dataset.

Key Insights of the Power BI Airline Delay Trends & Correlation Dashboard

The report analyzes airline delays from several complementary perspectives. Its main capabilities include:

• Delay correlations: compare measures and identify relationships, clusters, or unusual flight-delay observations
• Time-based patterns: examine how airline delay measures change across selected periods
• Cross-metric comparison: compare related delay measures and categories within an interactive view
• Geographic analysis: explore how delay activity and performance vary across locations
• Detailed investigation: filter the report by individual data points, periods, categories, or map areas

Drill Down Scatter, Combo Bar, Timeline, and Map visuals provide correlation, comparison, temporal, and geographic perspectives. Selecting an active element filters the related charts and makes it easier to investigate specific airline-delay patterns.

How to Use This Power BI Airline Delay Trends & Correlation Dashboard

Click a scatter point, chart category, timeline period, or map element to filter the report. Use the visuals together to compare delay measures, examine time-based changes, and investigate geographic differences.

Download the PBIX template to review the report structure, calculations, data model, and visual configuration in Power BI Desktop. Connect it to your own aviation data and adjust the measures, categories, dates, and locations to match your analysis needs.