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Steam Data Analysis ๐Ÿ“Š๐ŸŽฎ

Python License: MIT Made with Pandas Streamlit Dashboard

Analyze how games thrive (or flop) on Steam by crunching reviews, pricing, player counts, tags, release dates, and more.
The goal: turn raw marketplace data into actionable product insights and predictive models for publishers, gamers, and analysts alike.


โœจ Key Questions

  1. Trends โ€” How have release volume, genres, and pricing evolved since Steam launched?
  2. Success Drivers โ€” Which features (tags, early-access status, discounts) best predict total owners & play-time?
  3. Sentiment vs Sales โ€” Do โ€œMostly Positiveโ€ reviews translate into significantly higher revenue?
  4. Forecasting โ€” Can we model next-month player counts using historical usage, updates, and discount events?

๐Ÿ—‚ Project Structure

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