Welcome to the repository that dives deep into the world of swimming data analysis! This is your gateway to gaining profound insights into your pool training. These Python scripts will help you turn raw numbers into meaningful insights.
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Data Creation (data_create.ipynb) Begin your journey into the data ocean with the data creation module. Using the pandas library, you can construct a DataFrame from your pool training data.
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Data Update (update_df.ipynb) Keep your data fresh and up-to-date with the data update module. In the world of data, relevance is key.
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Analysis Script (script.ipynb) Navigate through your data with the analysis script. Data cleaning, transformation, machine learning algorithms... it's all here.
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Data Visualization (sns_data_visualization.ipynb) Finally, emerge with clear and visually appealing insights using the data visualization module. Because a picture is worth a thousand numbers.
Ready to dive in? Make sure you have Jupyter Notebook or a similar environment installed. Simply clone this repository and open the notebooks in your Jupyter environment.
Have ideas to enhance swimming data analysis? I'd love to hear from you! Feel free to open an issue or pull request.
This project is licensed under the MIT License.