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gaming-analytics's Introduction

Gaming company user analytics project

This project analyzes data for a free, fictional fantasy video game, to find meaningful insights on users' habits and microtransactions.

What's in this repo

  • A Jupyter notebook containing the analysis and takeaways

About the report

Takeaways

  • Male gamers and those in the 20-24 age group make up a higher percentage of game players, so overall they bring more revenue to the game.
  • However, female gamers and people in the 35-39 age range spend more on average, meaning that if you can find a way to increase the number of those players, you might be able to increase profits more efficiently.
  • Oathbreaker, Fiery Glass Crusader and Nirvana are among both the most popular and the most profitable items, making them good candidates for further marketing & promotion.

Analysis

  • Total Number of Players
  • Purchasing Analysis
    • Number of Unique Items
    • Average Purchase Price
    • Total Number of Purchases
    • Total Revenue
  • Gender Demographics
    • Percentage and Count of Male Players
    • Percentage and Count of Female Players
    • Percentage and Count of Other / Non-Disclosed
  • Purchase Analysis (Gender)
    • Purchase Count
    • Average Purchase Price
    • Total Purchase Value
    • Average Purchase Total per Person by Gender
  • Age Demographics
    • Purchase Count
    • Average Purchase Price
    • Total Purchase Value
    • Average Purchase Total per Person by Age Group
  • Top Spenders, by total purchase value
    • Purchase count
    • Average purchase price
    • Total purchase value
  • Most Popular Items, by purchase count
  • Most Profitable Items, by total purchase value

gaming-analytics's People

Contributors

skonkiel avatar

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