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Mobile Games A/B Testing

🎮 A/B test on 'player retention' in a mobile game. This project delves into the realms of hypothesis testing and bootstrap analysis.

Goal

The primary aim of this project is to reinforce the understanding of hypothesis testing and bootstrap analysis by applying them to a real-world scenario of A/B testing on 'player retention' in a mobile game.

Libraries

  • Pandas DataFrames
  • Matplotlib

Data Source

The analysis is conducted on the cookie_cats.csv dataset, sourced from DataCamp.

Dive into the code to explore how these libraries are employed to glean insights from the data and draw meaningful conclusions! 📊🕹️