Overview
This project explores global video game sales data to uncover key insights regarding genre popularity, regional sales distribution, and developer performance. The analysis includes predictions for potential sales of Japan-exclusive games in North America and Europe, offering valuable insights for publishers considering international releases.
Features
Top Developer Analysis: Identified the top 3 game developers (Ubisoft, EA Sports, EA Canada) and visualized their contribution to the global gaming industry.
Regional Preferences by Genre: Investigated how game genre preferences vary across major markets (North America, Europe, Japan), revealing unique regional trends.
Interactive Visualizations: Utilized interactive charts and heatmaps to illustrate game sales trends across genres, developers, and platforms.
Predictive Model: Built a machine learning model to predict potential sales in NA and EU for games that were released exclusively in Japan.
Libraries
Pandas: For data manipulation, filtering, and aggregation.
Matplotlib & Seaborn: Created static plots such as bar charts, line graphs, and heatmaps to visualize sales trends.
Plotly: Generated interactive visualizations, including stacked bar charts, area plots, and radar charts.
Scikit-learn: Employed RandomForestRegressor to predict sales in NA and EU based on genre and platform features.
Results
Top Developers: Ubisoft, EA Sports, and EA Canada were identified as the most prolific game developers based on the number of games released globally.
Regional Sales Trends: Action games dominated the North American and European markets, while role-playing games were significantly more popular in Japan.
Predicted Sales of Japan-exclusive Games: A RandomForest model predicted that games like Monster Hunter Freedom 3 and Friend Collection could generate significant sales if released in North America and Europe.
Key Insights for Publishers: The analysis highlights regional market differences, offering data-driven insights for expanding Japan-exclusive games into international markets.
This project demonstrates the value of data-driven analysis in understanding global gaming trends and forecasting market opportunities.