This project is an analysis of the Summer Olympics medalists from 1896 to 2008. Using Python libraries such as Pandas and Matplotlib, I perform various data processing tasks and visualizations to understand patterns and trends in the data.
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Data Input and Validation: Import data from a CSV file and conduct preliminary data validation to ensure data integrity for our analysis.
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Pandas Operations: This project demonstrates a variety of operations using the Pandas library. This includes the use of Series and DataFrame objects, indexing methods for data selection, and reshaping data using pivot operations.
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GroupBy Operations: The analysis involves grouping data by various categories to uncover hidden patterns.
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Data Visualization: With Matplotlib, I generated plots to visually represent our data and the results of our analysis. These plots include bar charts, line graphs, and more. Seaborn is also used.
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Analysis: The analysis includes looking at trends over time, comparing results of different countries, and more.
To run this project, you will need to install the required Python libraries. If you don't have them installed already, you can do so by running: pip install pandas matplotlib seaborn
Once you have the required libraries, you can run the Jupyter notebook: jupyter notebook