India Air Quality Index Overview(2022-2025)

Navya-Oracle · 8:13AM

1. Which dataset did you use?

India Air Quality Index from Kaggle

2. How did you analyze or prepare the data?

I used Auto-Insights and the AI-Assistant to gain few insights and build dashboard based on the inputs.

3. Who is the intended audience for your visualization?

The target audience includes policymakers, environmental agencies, and public stakeholders who rely on AQI insights to monitor pollution levels, assess health risks, and implement corrective measures.

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

The visualization presents AQI levels across states in India, along with key pollutants and the number of monitoring stations. It addresses the need to identify high-pollution areas and understand regional air quality patterns. Additionally, it highlights the worst-affected states from 2022 to 2025 to provide an early warning and draw attention to critical regions. The dashboard also enables users to drill down into state and area-level details for deeper analysis and informed decision-making.

5. 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 and the AI Assistant in Oracle Analytics, along with chat.oracle.com and ChatGPT, to generate insights and support the dashboard development.

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

Completed!

India Air Quality Index Overview(2022-2025).dva