Analyzed video game sales data to uncover trends in top-selling games, genres, platforms, and regional preferences. I used Python with libraries like Pandas, Matplotlib, and Seaborn for data cleaning, visualization, and statistical analysis. Key findings include Nintendo’s dominance, the popularity of action games, and regional sales differences. The project demonstrates data wrangling, EDA, and visualization skills to extract meaningful insights from raw data.
