Written by Rhiannon Fillingham | Data Science Student
The video game industry is highly competitive, generating over $100 billion annually, yet not all games achieve commercial success. Developers and retailers face a critical challenge: How can they predict which games will be best-sellers?
Game success depends on multiple factors, including platform choice, genre popularity, and regional preferences. Understanding these patterns helps publishers optimize marketing strategies and maximize revenue, while also reducing risks when launching new titles.
As part of my TripleTen Data Science Bootcamp, I analyzed historical video game sales data to uncover key trends. This study provides data-driven insights that can help game publishers make informed decisions about where and how to invest their marketing efforts.
This analysis is based on historical video game sales data collected from open sources. The dataset includes:
This preprocessing step ensured that our analysis would yield accurate and meaningful insights.