The visualisation is based on a dataset combining Nobel Prize winners from the past 50 years (1973–2023) with socio-economic indicators: GDP, liberal democracy index, and population.
It includes 573 data points and eight key attributes: year(temporal), category, birth country, work country, organization name (categorical), and population, GDP, liberal democracy index (numerical).
Our main question is: “Where should I be to win a Nobel Prize?”, targeting globally curious and ambitious researchers and students.
The map provides an overview of the nobel prize distribution globally and introduces you to the variables you might be interested in (Overview).
The subsequent visualisations go into detail about specific relationships in the data (Zoom & Relate).
Users can explore what makes a country more favourable for Nobel recognition through an interactive map and visualisations zooming and filtering by categories and years (Filter) the following:
Each visualisation also provides Details-On-Demand by hovering.
1. Where are the chances of winning the Nobel prize higher?
2. Do wealth and freedom predict Nobel Prize success?
3. Which countries cultivate laureates, and which ones attract them?
4. Where do the most Nobel-winning minds work?”.