Global Wellbeing Explorer

In today’s world, understanding the factors that contribute to human wellbeing has never been more critical. For my Plotly Studio challenge project, I decided to explore the OECD Wellbeing dataset, which provides a rich view of countries’ performance across various wellbeing indicators including health, income, education, environment, and life satisfaction.

Objective

The goal of this app is to help users visually explore global wellbeing trends and compare countries across different dimensions. By leveraging Plotly Studio’s AI-powered interface, I created an interactive and insightful data dashboard that simplifies complex data into intuitive visual narratives.

Features

Interactive Country Comparison: Users can select one or multiple countries to view their wellbeing scores across categories like health, education, and life satisfaction.

Trend Analysis Over Time: Line charts allow users to track improvements or declines in wellbeing metrics for each country over the years.

Correlation Insights: Scatter plots and correlation matrices reveal relationships between variables, such as income vs. life satisfaction or education vs. health outcomes.

AI-Powered Summaries: The app includes AI-generated textual insights that provide context for the visualizations, highlighting trends and key observations.

Why This App Matters

Wellbeing is multidimensional and often difficult to quantify in a single view. This app transforms raw data into actionable insights, enabling policymakers, researchers, or curious individuals to understand what drives human happiness and quality of life. By integrating interactive visualizations with AI-powered commentary, the app makes data exploration not just informative, but also intuitive and engaging.

Technical Notes

Built entirely in Plotly Studio, leveraging its AI-powered data analysis tools to generate charts, insights, and interactive filters.

Deployed to Plotly Cloud with public access, ensuring anyone can explore the app freely.

Designed for efficiency, keeping AI token usage in mind—focus was on enhancing the app iteratively rather than regenerating multiple versions.

Next Steps

This project can be extended to include:

Predictive analytics for future wellbeing scores using historical trends.

Customizable dashboards where users can add or remove variables dynamically.

Integration with global policy data to recommend interventions for improving wellbeing.

Built With

• plotly
• plotlystudio