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Python with Pandas, Numpy and Matplotlib to visualise and identify patterns in data from weight lifting competitions

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willsaliba/WL-DataAnalysis

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Data Analysis Project

This project utilises Python with Pandas, Numpy and Matplotlib to work with a Kaggle dataset containing data about competitors in powerlifting competitions.

Using the powerlifting data set, a series of graphs are created to demonstrate unique relationships found between specific characteristics of the competitors.

These graphs are then analysed in the AnalysisOfGraphs.pdf

Link to dataset: https://www.kaggle.com/datasets/open-powerlifting/powerlifting-database
Note that while the original dataset contained 1.5 million competitors the graphs displayed in this project are from the first 30,000 rows of the dataset because my current computer is fairly weak.

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Python with Pandas, Numpy and Matplotlib to visualise and identify patterns in data from weight lifting competitions

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