This notebook analyzes Nobel Prize data from 1901 to 2016, exploring factors such as gender, nationality, age, and repeat laureates. It examines trends and patterns, revealing insights about the Nobel Prize's evolution over time, including the dominance of the United States and the representation of women in different prize categories.
python
decision-making
insights
data-visualization
datacamp
nobel-laureates
dataexploration
nobel-award
datacamp-projects
nobel-prize
asking-questions
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Updated
Oct 24, 2023 - Jupyter Notebook