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Python analysis of the winningest sports cities in North America.

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This repo is a basic demonstration of my abilities to manipulate, visualize, and interpret data. The .py file contains strictly code and comments. The Jupyter Notebook contains the same code and comments, however the reader is able to see the visualizations and the dataframes.

Language: Python

Modules: Pandas, Numpy, OS, AST, Matplotlib

Skills: visualization using bar and scatter plots, dataframe manipulation, indexing, creating functions, nested for loops and data structures, converting data types

The data was downloaded from Kaggle. It contains data for North American professional and NCAA sports, specifically championship data for cities from 1870-2018:

https://www.kaggle.com/datasets/thedevastator/winningest-cities-in-sports

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Python analysis of the winningest sports cities in North America.

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