Visual Analysis of Olympics

Explore global sports history through data and visuals. The Olympic Games are more than competitions—they are a reflection of history, culture, and global change. In this project, you’ll conduct a Visual Analysis of the Olympics, using Pandas to prepare athlete and event data, and Seaborn to visualize key patterns and trends. You’ll begin by loading a dataset containing information about athletes, events, medals, and participating countries. Using Pandas, you’ll clean and organize the data: checking for missing values, filtering by year or sport, and creating new columns such as medal counts per country or age categories of athletes. Once prepared, you’ll apply Seaborn to bring the story of the Olympics to life. With bar plots, line charts, and scatter plots, you’ll examine questions like: Which countries have dominated medal counts over time? How has athlete participation grown across decades? What patterns exist in age, gender, or event types? How do summer and winter games differ in scale and distribution? By the end of this project, you will be able to: Use Pandas to prepare and summarize large sports datasets. Create Seaborn visualizations that highlight historical and comparative trends. Identify patterns in participation, performance, and demographics. Communicate global sports stories with data-driven visuals. This project connects data skills with an engaging real-world context: the Olympics. By combining data manipulation and visual storytelling, you’ll not only sharpen your technical abilities but also develop the ability to analyze and explain one of the most influential sporting events in history.