Goals
- Transition from data cleaning into exploratory data analysis and visualization
- Uncover patterns in Olympic participation, gender representation, and medal distribution
- Analyze how athlete physical attributes vary across sports and genders
- Practice storytelling with data using matplotlib and seaborn
Process
- Removed 383 duplicate records and assessed missing values across all columns
- Analyzed medal distribution, participation growth, and gender trends over 120 years
- Compared physical attributes (age, height, weight) across sports and between genders
- Created 5 visualizations including line charts, stacked area charts, and box plots
Insights
- 86% of Olympic athletes never won a medal — competition at the Olympics is extremely fierce
- Female participation grew from near zero in the 1890s to ~40% of all athletes by 2016
- Medal winners are on average 2.7cm taller than non-medalists — suggesting a slight physical edge
- Age varies dramatically by sport — gymnasts peak at ~20 years while sailors and shooters compete well into their 30s
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