1. Which dataset did you use?
I used an energy dataset in Excel format that contains country-wise details on energy production, consumption, and CO₂ emissions across multiple sources such as Coal, Hydro, Nuclear, Solar, Wind, and Natural Gas.

2. How did you analyze or prepare the data?
I cleaned and structured the data, created key metrics like total production versus consumption, and performed aggregations by country and energy source.

3. Who is the intended audience for your visualization?
The dashboard is intended for analysts, business users, and decision-makers who want to monitor energy performance and understand environmental impact.

4. What is your visualization about, and what problem does it address?
The visualization presents a comprehensive view of energy production, consumption, and CO₂ emissions. It helps identify which energy sources are highly used, where consumption gaps exist, and which sources contribute more to emissions, supporting better decision-making.

5. Did you use any Oracle Analytics AI features? If so, how?
Yes, I used Explain (Auto Insights) and Key Drivers to automatically identify trends and key factors influencing energy usage and CO₂ emissions, enhancing the overall analysis.

6. Did you upload your visualization image and DVA file?

Yes, the dashboard image and DVA file have been successfully uploaded.