Project Description: Video Game Sales Analytics
This project showcases a comprehensive analysis of global video game sales data using R, leveraging powerful libraries like ggplot2 (visualization), dplyr/tidyr (data wrangling), and knitr (reporting). The goal was to uncover regional sales trends, publisher performance, and genre popularity while addressing skewed data distributions through log-normalization.
Key highlights:
- Data Transformation: Engineered log-scaled sales columns to normalize skewed distributions, enhancing statistical robustness.
- Descriptive Insights: Calculated mean, median, and variability metrics across regions, revealing North America’s dominance and Japan’s niche market trends.
- Visual Storytelling: Created impactful visualizations, including interactive pie charts, histograms (sales by genre/platform), and boxplots to detect regional outliers.
- Publisher Analysis: Identified top publishers (e.g., Rockstar Games, Activision) by release volume and sales impact, using dynamic bar plots.
All outputs—cleaned datasets, statistical summaries, and high-resolution plots—were systematically saved to CSV/PNG files for seamless replication.