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?

The visualization highlights significant global aviation disruptions, resulting in negative impact all over the world. While cancellations dominate in certain countries delays are also substantial across multiple regions, contributing to widespread operational impact. The workbook shows how disruptions are unevenly distributed, with a long tail of countries contributing smaller shares but collectively adding nearly half of total disruption volume. Choose your filters to deep-dive further into the country you are interested in. This highlights the importance of inter-dependence amongst the countries in the world, emphasizing the fact - "We need to live in this World as people from One Country".

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