This project, A Visual History of Nobel Prize Winners, analyzes Nobel Prize data from 1901 to 2016. Using Python, pandas, and seaborn, it explores trends in laureates' gender, nationality, and prize categories. The project visualizes U.S. dominance in Nobel prizes over the decades and highlights gender imbalances, particularly in fields like physics and economics. It also investigates the age of recipients and identifies repeat laureates such as Marie Curie and Linus Pauling.