- 1. Which dataset did you use?
Custom Dummy U.S. Judiciary dataset prepared for this Hackathon using LLM.
2. How did you analyze or prepare the data?
I built a single integrated dataset, joined case/event/outcome/capacity/geography/timetables, standardized U.S. terminology, and created calculated KPIs.
3. Who is the intended audience for your visualization?
Judicial administrators, court operations leaders, and justice policy/planning teams
4. What is your visualization about, and what question or problem does it address?
The visualization shows judicial decision quality and court capacity across U.S. states. It helps identify where workload is high, where appeal outcomes are less stable, and where resource planning is needed to improve consistency and efficiency.
5. Did you use any Oracle Analytics AI features when building your visualization (ex. AI Assistant)? If so, please describe how they were used
The final dashboard was built mainly with manual modeling, joins, calculated measures, and visual design in Oracle DV. AI Assistant was not used as the primary method for KPI creation.
6. Did you upload your visualization image and dva file?
Yes!
