Descriptive Statistics (European Football Association)

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European Football Association

Wrangled a SQL database and correlated team attributes to relative rank of European Football clubs from 2011 – 2015. Pandas were used for data manipulation. Plotting of results was accomplished via Matplotlib/seaborn utilizing scatter, histogram, and bar plots. Spearman and Pearson functions confirmed hypothesis that were formed from the visualizations.

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This project was done as part of my course work at Udacity (www.udacity.com) for the Data Analyst Nano Degree (DAND).

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