PICK & WIN RATES

DATA ANALYSIS SKILLS

I analyse pick & win rates of cards in multiplayer games using python programming and Jupyter Notebook to learn about players preferences.

EXAMPLE

In 2021, based on a personal initiative, I analyzed the Clash Royale battle data from January 1st (which has over 2,800,000 battles) using Python programming language. My goal was to determine which cards were played the most, and which cards were the most likely to make the player win when they are present in his deck (i.e. the best cards).

To do this, I programmed in Python on Jupyter Notebook and used the NumPy, Pandas, and Matplotlib modules.

DATA ANALYSIS SCRIPT

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