AI Scenario Explorer: European Life Satisfaction
This interactive report helps data journalists uncover compelling narratives in European quality-of-life data (2004–2025). Built around AI-generated scenarios, it allows users to explore how life satisfaction interacts with factors like renewable energy, cultural events, and regional shifts.
Key highlights:
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Scenario-driven storytelling: Choose from AI-curated narratives (e.g., Happiness Surge, Renewable Momentum), each offering tailored insights, context, and headline inspiration.
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Dynamic views:
• Regional Overview with SVG-based insight cards that summarize key metrics and trends across Europe.
• Scenario View with slope charts, scatterplots, and country tables for detailed comparisons between selected groups and their peers.
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Transparency & exploration: Hover interactions reveal statistical significance checks, data dictionary entries, and methodology notes to ensure clarity and trust.
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Design features: Custom SVG cards provide a clean, consistent storytelling format that highlights regional differences at a glance.
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Video walkthrough: Accompanying the report is a guided video tour that demonstrates how scenarios work, how journalists can interact with the data, and how AI augments story discovery.
This project explores how AI can assist human storytellers, transforming raw datasets into transparent, journalist-ready narratives.
This data uses the provided dataset, and one additional source listed below for the european TopoJSON
🧑🏼🤝👩🏽 Population data - Our World in Data - Population, 10,000 BCE to 2023
🌏Country name data from GitHub
🏳️ flags from Flagpedia.net (flag images are in the public domain, exempt from copyright)
🌍 Eurostat - life satisfaction data
⚡ Eurostat - Share of energy from renewable sources
🏃🏼♂️➡️ Eurostat - Participation in cultural or sport activities
🗺️ Map TopoJson - LeakyMirror Github
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