Your Turn: Build a Data Poster

 Congrats!  🥳 You've completed the fourth module! You now know how to structure multi-panel visualizations with facets, nested hierarchies, and patchwork compositions.

Now, let's put your skills into practice: build a publication-readydata poster that tells a cohesive story using the World Happiness Report dataset.

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🎯 The Challenge

You've learned how to split data into small multiples, build hierarchical facets, and compose multi-plot layouts with patchwork. Now it's time to bring it all together!

Your goal: build a data poster — a multi-panel visualization that tells a cohesive story using the World Happiness Report dataset. Think of it as a one-page visual summary that someone could glance at and immediately understand the key insights.

💾 Dataset: World Happiness Report

The World Happiness Report ranks countries by how happy their citizens perceive themselves to be. The dataset contains 142 countries across 10 world regions, with a happiness score and six contributing factors.

variables
  • country, region — geographic identifiers (10 regions like "Western Europe", "Sub-Saharan Africa", etc.)
  • happiness — overall happiness score (0–10 ladder scale)
  • gdp — logged GDP per capita
  • social_support — perceived social support (0–1)
  • life_exp — healthy life expectancy in years
  • freedom — freedom to make life choices (0–1)
  • generosity — generosity score (can be negative)
  • corruption — perceptions of corruption (0–1)
import
preview

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Spatial Data