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An analysis of the stats and data of 721 different Pokemon using a Jupyter Notebook. My goal is to find the top 10 best non-legendary Pokemon and the top 5 legendary Pokemon based on pure stats, while practicing pandas and seaborn in the process.

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Krydann/Pokemon-Stats-Analysis

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Pokemon-Stats-Analysis

What is this?

An analysis of the stats and data of 721 different Pokemon using a Jupyter Notebook. My goal is to find the top 10 best non-legendary Pokemon and the top 5 legendary Pokemon based on pure stats, while practicing pandas and seaborn in the process.

What libraries are used?

Pandas, Numpy, Matplotlib, Seaborn.

Dataset retrieved from:

https://www.kaggle.com/abcsds/pokemon

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An analysis of the stats and data of 721 different Pokemon using a Jupyter Notebook. My goal is to find the top 10 best non-legendary Pokemon and the top 5 legendary Pokemon based on pure stats, while practicing pandas and seaborn in the process.

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