1. Which dataset did you use?

https://www.kaggle.com/datasets/hassnainzaidi/aviation-disruption-2026-benchmark

1. How did you analyze or prepare the data?

I used create Dataset to prepare the messy data and Auto-Insights to gain few insights and build dashboard based on provided inputs.

1. Who is the intended audience for your visualization?

• Airline operations managers
• Flight scheduling teams
• Disruption management teams
• Tracks cancellations, delays, diversions

1. What is your visualization about, and what question or problem does it address?

This dashboard is designed to analyze and monitor global aviation disruptions, offering insights into flight delays, cancellations, and diversions across countries and airports. It enables users to identify high-risk regions, understand disruption patterns, and support operational decision-making.

1. Did you use any Oracle Analytics AI features when building your visualization (ex. AI Assistant)? If so, please describe how they were used

Yes, I used Auto-Insights along with chat.oracle.com and ChatGPT, to generate insights that helped me in the dashbaord design

1. Did you upload your visualization image and dva file?

Yes I have uploaded