World Happiness Report 2022
This interactive visualization of the World Happiness Report 2022 displays a rotating orthographic globe using `d3.geoOrthographic` and `d3.geoPath`, with country circles scaled and color-coded by happiness score. It includes side panels with donut charts for top and bottom-ranked countries, scatter plots analyzing factor correlations, and a legend that filters highlighted circles by score ranges via `updateFilteredCircles`. Data comes from the World Happiness Report 2022 dataset, with SVG rendering and animations for hover interactions.
AI-generated descriptionWorld Happiness Report 2022:
An Interactive Visualization
The World Happiness Report 2022 offers fascinating insights into the factors that contribute to happiness across nations. Leveraging this rich dataset, I created an interactive visualization to uncover patterns and correlations among happiness factors such as GDP per capita, social support, life expectancy, and more. This project merges data storytelling with user-centric interactivity to deliver an engaging and informative exploration of happiness worldwide.
<img width="1468" alt="Screenshot 2024-12-03 at 6 46 53 PM" src="https://github.com/user-attachments/assets/a477decf-ebc2-4859-88e9-4168e58fe900">Data
The dataset is sourced from the World Happiness Report 2022 (https://www.kaggle.com/datasets/ajaypalsinghlo/world-happiness-report-2022?select=World+Happiness+Report+2022.csv), It provides comprehensive metrics for 146 countries, detailing factors such as:
- GDP per capita
- Social support
- Healthy life expectancy
- Freedom to make life choices
- Generosity
- Perceptions of corruption
Flags for countries are sourced from the Circle Flags Gallery to enhance visual clarity. https://hatscripts.github.io/circle-flags/gallery
Project Objectives
This project aims to answer critical questions through visualization:
- What is the correlation between GDP per capita and happiness scores?
- How are happiness scores distributed geographically?
- Which factors drive happiness in the top-ranking countries?
- Can we identify outliers—countries with high happiness despite low perceptions of corruption?
- How do happiness scores differ across continents?
Development Journey
Initial Sketches
The project began with conceptual sketches, envisioning multiple visualization components:
- Interactive Map: Highlighting geographic trends and happiness scores across all countries.
- Side Panels: Displaying the top and bottom 5 countries with detailed factor breakdowns.
- Scatter Plots: Offering deeper insights into factor relationships.
Interactive Features
Dynamic Map
- Circles represent countries, scaled and color-coded by happiness scores.
- Hovering over a circle displays detailed data, including happiness score, GDP, and rank.
Side Panels
- The left panel highlights the top 5 happiest countries, while the right panel features the bottom 5.
- Each panel includes donut charts visualizing factor contributions like GDP, life expectancy, and social support.
Scatter Plots
- Explore how happiness factors correlate with scores through an interactive tooltip featuring scatter plots for factors like GDP and life expectancy.
Interactive Legend
- Filter countries by score ranges (e.g., >7.0, 6.0-7.0) using the legend. Highlighted countries dynamically adjust based on the selected range.
Key Insights
- Happiest Countries: Finland, Denmark, and Iceland rank highest, driven by strong social support, high GDP, and life expectancy.
- Least Happy Countries: Afghanistan and Zimbabwe score lowest, reflecting economic challenges and limited social infrastructure.
- Geographic Trends: Northern Europe consistently outperforms other regions, while parts of Africa and the Middle East show lower scores.
- Factor Analysis: GDP, life expectancy, and social support emerge as the strongest predictors of happiness in top-ranking nations.
Final Visualization
- The project culminates in a polished, user-friendly interface combining aesthetics with data depth. Screenshots below highlight the key components:
Next Steps
This visualization serves as a foundation for deeper analysis and storytelling. Future enhancements could include:
- Region-specific breakdowns.
- Year-over-year happiness trends.
- Predictive modeling to forecast future scores.
This project showcases my ability to design, code, and deliver interactive data visualizations, making it a proud addition to my portfolio.